\r\nDuring the Arctic campaign, Saildrones SD-1041 and SD-1046 undertook distinct trajectories to cover designated areas. SD-1041 traversed repeat transects from Point Hope, AK southwestward to near the International Date Line, following DBO line #3 (https://dbo.cbl.umces.edu/images/Frey_DBOmap_IceEdge2022.png). In contrast, SD-1046 ventured northward to DBO line #4 and, upon sea ice retreat, proceeded further north to DBO line #5. Each Saildrone was equipped with a suite of instruments to measure various parameters, including air temperature, relative humidity, barometric pressure, surface skin temperature, wind speed and direction, wave height and period, seawater temperature and salinity, chlorophyll fluorescence, and dissolved oxygen. Additionally, both vehicles utilized 300 kHz acoustic Doppler current profilers (ADCP) to measure near-surface currents. Seven temperature data loggers positioned vertically along the hull enhanced understanding of thermal variability near the ocean surface.\r\n
\r\nThe Saildrone Arctic 2022 dataset, part of the Multi-sensor Improved Sea-Surface Temperature (MISST) project, encompasses three netCDF format files for each deployed Saildrone. The first file integrates saildrone platform telemetry and surface observational data at 1-minute temporal resolution including key parameters such as air temperature, sea surface skin, and bulk temperatures, salinity, oxygen and chlorophyll-a concentrations, barometric pressure, and wind speed and direction. The second file focuses on ADCP current vector data, providing depth-resolved information to 100m at 2m intervals and binned temporally at 5-minute resolution. The third file includes temperature logger measurements at various depths at 1-minute resolution. This project, funded by NASA through the National Ocean Partnership Program (NOPP), demonstrates a commitment to advancing scientific understanding of the Arctic environment through innovative and autonomous observational technologies.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C2746559549-POCLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://archive.podaac.earthdata.nasa.gov/podaac-ops-cumulus-docs/insitu/open/L2/saildrone/docs/Saildrone_2022_Arctic_Cruise_Report.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://cmr.earthdata.nasa.gov/virtual-directory/collections/C2746559549-POCLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://github.com/podaac/data-readers","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://github.com/podaac/data-subscriber","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://opendap.earthdata.nasa.gov","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://podaac.jpl.nasa.gov/CitingPODAAC","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C2746559549-POCLOUD","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/SDRON-ARC22","keyword":["earth-science-atmospheric-pressure-atmosphere-atmospheric-pressure-measurements","earth-science-atmospheric-pressure-atmosphere-sea-level-pressure","earth-science-atmospheric-temperature-atmosphere-surface-temperature","earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators","earth-science-atmospheric-winds-atmosphere-surface-winds","earth-science-ocean-chemistry-oceans","earth-science-ocean-chemistry-oceans-oxygen","earth-science-ocean-optics-oceans-chlorophyll","earth-science-ocean-optics-oceans-photosynthetically-active-radiation","earth-science-ocean-temperature-oceans","earth-science-ocean-temperature-oceans-ocean-temperature-profiles","earth-science-ocean-waves-oceans-wave-height","earth-science-ocean-waves-oceans-wave-period","earth-science-ocean-winds-oceans-surface-winds","earth-science-salinity-density-oceans","earth-science-salinity-density-oceans-conductivity","earth-science-salinity-density-oceans-salinity"],"license":"https://www.usa.gov/government-works","modified":"2026-08-25","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/JPL/PODAAC"},"spatial":"[\"CARTESIAN\", [{\"NorthBoundingCoordinate\": 71.6, \"WestBoundingCoordinate\": -168.5, \"EastBoundingCoordinate\": -157.2, \"SouthBoundingCoordinate\": 65.2}]]","temporal":"2022-06-18/2022-08-17","theme":["Earth Science"],"title":"Saildrone 2022 Arctic field campaign for the Multi-Sensor Improved SST (MISST) project"},"description":"The Saildrone Arctic 2022 dataset presents a unique collection of high-quality, near real-time, multivariate surface ocean, and atmospheric observations obtained through the deployment of Saildrone, an innovative wind and solar-powered uncrewed surface vehicle (USV). Saildrone is capable of extended missions lasting up to 12 months, covering vast distances at typical speeds of 3-5 knots and operates autonomously, relying solely on wind propulsion, while its navigation can be remotely guided from land. The 2022 Saildrone Arctic campaign featured two Saildrone USVs deployed during a 60-day cruise in the Bering and Chukchi Seas, spanning from 18 June 2022 to 17 August 2022. The primary mission objective for 2022 was to gather comprehensive atmospheric and oceanographic data in Alaskan arctic waters, specifically in collaboration with the Distributed Biological Observatory (DBO; https://www.pmel.noaa.gov/dbo/; https://dbo.cbl.umces.edu/). Please see the cruise report: https://archive.podaac.earthdata.nasa.gov/podaac-ops-cumulus-docs/insitu/open/L2/saildrone/docs/Saildrone_2022_Arctic_Cruise_Report.pdf
\r\nDuring the Arctic campaign, Saildrones SD-1041 and SD-1046 undertook distinct trajectories to cover designated areas. SD-1041 traversed repeat transects from Point Hope, AK southwestward to near the International Date Line, following DBO line #3 (https://dbo.cbl.umces.edu/images/Frey_DBOmap_IceEdge2022.png). In contrast, SD-1046 ventured northward to DBO line #4 and, upon sea ice retreat, proceeded further north to DBO line #5. Each Saildrone was equipped with a suite of instruments to measure various parameters, including air temperature, relative humidity, barometric pressure, surface skin temperature, wind speed and direction, wave height and period, seawater temperature and salinity, chlorophyll fluorescence, and dissolved oxygen. Additionally, both vehicles utilized 300 kHz acoustic Doppler current profilers (ADCP) to measure near-surface currents. Seven temperature data loggers positioned vertically along the hull enhanced understanding of thermal variability near the ocean surface.\r\n
\r\nThe Saildrone Arctic 2022 dataset, part of the Multi-sensor Improved Sea-Surface Temperature (MISST) project, encompasses three netCDF format files for each deployed Saildrone. The first file integrates saildrone platform telemetry and surface observational data at 1-minute temporal resolution including key parameters such as air temperature, sea surface skin, and bulk temperatures, salinity, oxygen and chlorophyll-a concentrations, barometric pressure, and wind speed and direction. The second file focuses on ADCP current vector data, providing depth-resolved information to 100m at 2m intervals and binned temporally at 5-minute resolution. The third file includes temperature logger measurements at various depths at 1-minute resolution. This project, funded by NASA through the National Ocean Partnership Program (NOPP), demonstrates a commitment to advancing scientific understanding of the Arctic environment through innovative and autonomous observational technologies.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/00a033ba-0a76-475b-82d3-0d8824d25a3e","harvest_record_raw":"https://catalog.data.gov/harvest_record/00a033ba-0a76-475b-82d3-0d8824d25a3e/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/SDRON-ARC22","keyword":["earth-science-atmospheric-pressure-atmosphere-atmospheric-pressure-measurements","earth-science-atmospheric-pressure-atmosphere-sea-level-pressure","earth-science-atmospheric-temperature-atmosphere-surface-temperature","earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators","earth-science-atmospheric-winds-atmosphere-surface-winds","earth-science-ocean-chemistry-oceans","earth-science-ocean-chemistry-oceans-oxygen","earth-science-ocean-optics-oceans-chlorophyll","earth-science-ocean-optics-oceans-photosynthetically-active-radiation","earth-science-ocean-temperature-oceans","earth-science-ocean-temperature-oceans-ocean-temperature-profiles","earth-science-ocean-waves-oceans-wave-height","earth-science-ocean-waves-oceans-wave-period","earth-science-ocean-winds-oceans-surface-winds","earth-science-salinity-density-oceans","earth-science-salinity-density-oceans-conductivity","earth-science-salinity-density-oceans-salinity"],"last_harvested_date":"2026-09-02T00:48:05.199892","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":2,"publisher":"NASA/JPL/PODAAC","slug":"saildrone-2022-arctic-field-campaign-for-the-multi-sensor-improved-sst-misst-project","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"Saildrone 2022 Arctic field campaign for the Multi-Sensor Improved SST (MISST) project","type":"dataset"},{"_score":12.914167,"_sort":[1788310045551,12.914167,1,"64c5c919-3bd5-4a77-b597-987bf10e9e59"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The GPM Ground Validation NASA S-band Dual Polarimetric (NPOL) Doppler Radar MC3E dataset was collected by the NASA NPOL radar, which was developed by a research team from Wallops Flight Facility, is a fully transportable and self-contained S-band (10 cm), scanning dual-polarimetric, doppler research radar that collected data nearly continuously during the Midlatitude Continental Convective Clouds Experiment (MC3E) field campaign. The overarching goal was to provide the most complete characterization of convective cloud systems, precipitation, and the environment that has ever been obtained, providing constraints for model cumulus parameterizations and space-based rainfall retrieval algorithms over land that had never before been available. NPOL scanned in high resolution Range Height Indicator (RHI) mode (every 40 sec) and provided measurements of precipitation in liquid, mixed and ice phase. The scanning strategy emphasized vertical structure sampling via RHI and narrow sector-volume data collections. Additional files were processed from the UF files using the Colorado State University (CSU) Hydrometeor Identification Algorithm (HID) providing classification of hydrometeors (e.g. rain, drizzle, hail, ice crystals, wet or dry snow, graupel density). Data was collected from April 11, 2011 through June 3, 2011.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C1979638913-GHRC_DAAC.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"http://dx.doi.org/10.5067/GPMGV/MC3E/DATA101","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"http://pmm.nasa.gov/GPM","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.earthdata.nasa.gov/browseui/#pub/gpmnpolmc3e__1/browse/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.earthdata.nasa.gov/browseui/#pub/gpmnpolmc3e__1/docs/MC3E_NPOL_Data_Contents.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.earthdata.nasa.gov/browseui/#pub/gpmnpolmc3e__1/docs/MC3E_radar-focus-v5_2011-05-05.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.earthdata.nasa.gov/browseui/#pub/gpmnpolmc3e__1/docs/NPOL_MC3E_Images.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.earthdata.nasa.gov/browseui/#pub/gpmnpolmc3e__1/docs/NPOL_MC3E_log.doc","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.earthdata.nasa.gov/browseui/#pub/gpmnpolmc3e__1/docs/NPOL_MC3E_scanning_FINAL_0.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.earthdata.nasa.gov/browseui/#pub/gpmnpolmc3e__1/docs/README_HID_mc3e_npol.txt","format":"TXT","mediaType":"text/plain"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.earthdata.nasa.gov/browseui/#pub/gpmnpolmc3e__1/docs/gpmnpolmc3e_dataset.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.nsstc.nasa.gov/home/about-ghrc/citing-ghrc-daac-data","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.nsstc.nasa.gov/home/field-campaigns/mc3e","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C1979638913-GHRC_DAAC","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/GPMGV/MC3E/NPOL/DATA101","keyword":["earth-science-precipitation-atmosphere-hydrometeors","earth-science-radar-spectral-engineering-doppler-velocity","earth-science-radar-spectral-engineering-radar-imagery","earth-science-radar-spectral-engineering-radar-reflectivity"],"license":"https://www.usa.gov/government-works","modified":"2026-08-25","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/MSFC/GHRC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -99, \"NorthBoundingCoordinate\": 38, \"EastBoundingCoordinate\": -95.5, \"SouthBoundingCoordinate\": 35}]]","temporal":"2011-04-11/2011-06-03","theme":["Earth Science"],"title":"GPM GROUND VALIDATION NASA S-BAND DUAL POLARIMETRIC (NPOL) DOPPLER RADAR MC3E"},"description":"The GPM Ground Validation NASA S-band Dual Polarimetric (NPOL) Doppler Radar MC3E dataset was collected by the NASA NPOL radar, which was developed by a research team from Wallops Flight Facility, is a fully transportable and self-contained S-band (10 cm), scanning dual-polarimetric, doppler research radar that collected data nearly continuously during the Midlatitude Continental Convective Clouds Experiment (MC3E) field campaign. The overarching goal was to provide the most complete characterization of convective cloud systems, precipitation, and the environment that has ever been obtained, providing constraints for model cumulus parameterizations and space-based rainfall retrieval algorithms over land that had never before been available. NPOL scanned in high resolution Range Height Indicator (RHI) mode (every 40 sec) and provided measurements of precipitation in liquid, mixed and ice phase. The scanning strategy emphasized vertical structure sampling via RHI and narrow sector-volume data collections. Additional files were processed from the UF files using the Colorado State University (CSU) Hydrometeor Identification Algorithm (HID) providing classification of hydrometeors (e.g. rain, drizzle, hail, ice crystals, wet or dry snow, graupel density). Data was collected from April 11, 2011 through June 3, 2011.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/4c29c2d1-35df-470d-985c-56479a2e8ed3","harvest_record_raw":"https://catalog.data.gov/harvest_record/4c29c2d1-35df-470d-985c-56479a2e8ed3/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/GPMGV/MC3E/NPOL/DATA101","keyword":["earth-science-precipitation-atmosphere-hydrometeors","earth-science-radar-spectral-engineering-doppler-velocity","earth-science-radar-spectral-engineering-radar-imagery","earth-science-radar-spectral-engineering-radar-reflectivity"],"last_harvested_date":"2026-09-02T00:47:25.551198","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"NASA/MSFC/GHRC","slug":"gpm-ground-validation-nasa-s-band-dual-polarimetric-npol-doppler-radar-mc3e","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"GPM GROUND VALIDATION NASA S-BAND DUAL POLARIMETRIC (NPOL) DOPPLER RADAR MC3E","type":"dataset"},{"_score":18.691208,"_sort":[1788310027098,18.691208,2,"bb1a6ab8-20b7-43db-a58d-60a3843e0445"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"CAMP2Ex_Radiation_AircraftInSitu_P3_Data are in-situ radiation measurements conducted onboard the P-3 aircraft during the Clouds, Aerosol and Monsoon Processes-Philippines Experiment (CAMP2Ex) NASA field study. Data collection for this product is complete.\r\n\r\nCAMP2Ex was a NASA field study, with three main science objectives: aerosol effect on cloud microphysical and optical properties, aerosol and cloud influence on radiation as well as radiative feedback, and meteorology effect on aerosol distribution and aerosol-cloud interactions. Research on these three main objectives requires a comprehensive characterization of aerosol, cloud, and precipitation properties, as well as the associated meteorological and radiative parameters. Trace gas tracers are also needed for airmass type analysis to characterize the role of anthropogenic and natural aerosols. To deliver these observations, CAMP2Ex utilized a combination of remote sensing and in-situ measurements. NASA\u2019s P-3B aircraft was equipped with a suite of in-situ instruments to conduct measurements of aerosol and cloud properties, trace gases, meteorological parameters, and radiative fluxes. The P-3B was also equipped passive remote sensors (i.e. lidar, polarimeter, radar, and radiometers). A second aircraft, the SPEC Learjet 35A, was primarily dedicated to measuring detailed cloud microphysical properties. The sampling strategy designed for CAMP2Ex coordinated flight plans for both aircraft to maximize the science return. The P-3B was used primarily to conduct remote sensing measurements of cloud and precipitation structure and aerosol layers and vertical profiles of atmospheric state variable, while the Learjet flew below the P-3B to obtain the detailed cloud microphysical properties. During the 2019 field deployment in the vicinity of the Philippines, completed from August 20-October 10, the P-3B conducted 19 science flights and the SPEC Learjet conducted 11 flights. Ground-based aerosol observations were also recorded in 2018 and 2019. CAMP2Ex was completed in partnership with Philippine research and operational weather communities. Measurements completed during CAMP2EX provide a 4-D observational view of the environment of the Philippines and its neighboring waters in terms of microphysical, hydrological, dynamical, thermodynamical and radiative properties of the environment, targeting the environment of shallow cumulus and cumulus congestus clouds.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C3880547366-LARC_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/citing-data","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/soot/power-user/CAMP2EX/2018","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://blogs.nasa.gov/earthexpeditions/tag/camp2ex/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://cmr.earthdata.nasa.gov/virtual-directory/collections/C3880547366-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/AIRBORNE/CAMP2EX_RADIATION_AIRCRAFTINSITU_P3_DATA_1","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/Airborne/CAMP2Ex_Radiation_AircrftInSitu_P3_Data_1","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://espo.nasa.gov/camp2ex","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://journals.ametsoc.org/collection/air-sea-interactions","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://journals.ametsoc.org/view/journals/bams/104/6/BAMS-D-21-0285.1.xml","format":"XML","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C3880547366-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www-air.larc.nasa.gov/missions/camp2ex/docs/CAMP2Ex-overview-27NOV2015.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://www.nasa.gov/feature/goddard/2019/philippine-airborne-campaign-targets-weather-climate-science","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/Airborne/CAMP2Ex_Radiation_AircraftInSitu_P3_Data_1","keyword":["earth-science-atmospheric-radiation-atmosphere","earth-science-atmospheric-radiation-atmosphere-incoming-solar-radiation","earth-science-atmospheric-radiation-atmosphere-outgoing-longwave-radiation","earth-science-atmospheric-radiation-atmosphere-shortwave-radiation","earth-science-atmospheric-radiation-atmosphere-solar-irradiance","earth-science-atmospheric-radiation-atmosphere-spectral-irradiance"],"license":"https://www.usa.gov/government-works","modified":"2026-08-25","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/LARC/SD/ASDC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -85, \"EastBoundingCoordinate\": 135, \"SouthBoundingCoordinate\": 0, \"NorthBoundingCoordinate\": 47}]], Maximum Altitude, 9999.9 Meters","temporal":"2019-08-03/2019-10-06","theme":["Earth Science"],"title":"CAMP2Ex In-Situ Radiation Data"},"description":"CAMP2Ex_Radiation_AircraftInSitu_P3_Data are in-situ radiation measurements conducted onboard the P-3 aircraft during the Clouds, Aerosol and Monsoon Processes-Philippines Experiment (CAMP2Ex) NASA field study. Data collection for this product is complete.\r\n\r\nCAMP2Ex was a NASA field study, with three main science objectives: aerosol effect on cloud microphysical and optical properties, aerosol and cloud influence on radiation as well as radiative feedback, and meteorology effect on aerosol distribution and aerosol-cloud interactions. Research on these three main objectives requires a comprehensive characterization of aerosol, cloud, and precipitation properties, as well as the associated meteorological and radiative parameters. Trace gas tracers are also needed for airmass type analysis to characterize the role of anthropogenic and natural aerosols. To deliver these observations, CAMP2Ex utilized a combination of remote sensing and in-situ measurements. NASA\u2019s P-3B aircraft was equipped with a suite of in-situ instruments to conduct measurements of aerosol and cloud properties, trace gases, meteorological parameters, and radiative fluxes. The P-3B was also equipped passive remote sensors (i.e. lidar, polarimeter, radar, and radiometers). A second aircraft, the SPEC Learjet 35A, was primarily dedicated to measuring detailed cloud microphysical properties. The sampling strategy designed for CAMP2Ex coordinated flight plans for both aircraft to maximize the science return. The P-3B was used primarily to conduct remote sensing measurements of cloud and precipitation structure and aerosol layers and vertical profiles of atmospheric state variable, while the Learjet flew below the P-3B to obtain the detailed cloud microphysical properties. During the 2019 field deployment in the vicinity of the Philippines, completed from August 20-October 10, the P-3B conducted 19 science flights and the SPEC Learjet conducted 11 flights. Ground-based aerosol observations were also recorded in 2018 and 2019. CAMP2Ex was completed in partnership with Philippine research and operational weather communities. Measurements completed during CAMP2EX provide a 4-D observational view of the environment of the Philippines and its neighboring waters in terms of microphysical, hydrological, dynamical, thermodynamical and radiative properties of the environment, targeting the environment of shallow cumulus and cumulus congestus clouds.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/f08a46b5-92a7-4b36-b453-5779d1d387a1","harvest_record_raw":"https://catalog.data.gov/harvest_record/f08a46b5-92a7-4b36-b453-5779d1d387a1/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/Airborne/CAMP2Ex_Radiation_AircraftInSitu_P3_Data_1","keyword":["earth-science-atmospheric-radiation-atmosphere","earth-science-atmospheric-radiation-atmosphere-incoming-solar-radiation","earth-science-atmospheric-radiation-atmosphere-outgoing-longwave-radiation","earth-science-atmospheric-radiation-atmosphere-shortwave-radiation","earth-science-atmospheric-radiation-atmosphere-solar-irradiance","earth-science-atmospheric-radiation-atmosphere-spectral-irradiance"],"last_harvested_date":"2026-09-02T00:47:07.098541","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":2,"publisher":"NASA/LARC/SD/ASDC","slug":"camp2ex-in-situ-radiation-data","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"CAMP2Ex In-Situ Radiation Data","type":"dataset"},{"_score":18.764442,"_sort":[1788310026727,18.764442,4,"8e62e57a-c1da-43ab-bf8c-eb1c4d167cb2"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"CAMP2Ex_MetNav_AircraftInSitu_Learjet_Data are in-situ meteorological and navigational measurements conducted onboard the Learjet aircraft during the Clouds, Aerosol and Monsoon Processes-Philippines Experiment (CAMP2Ex) NASA field study. Data collection for this product is complete.\r\n\r\nCAMP2Ex was a NASA field study, with three main science objectives: aerosol effect on cloud microphysical and optical properties, aerosol and cloud influence on radiation as well as radiative feedback, and meteorology effect on aerosol distribution and aerosol-cloud interactions. Research on these three main objectives requires a comprehensive characterization of aerosol, cloud, and precipitation properties, as well as the associated meteorological and radiative parameters. Trace gas tracers are also needed for airmass type analysis to characterize the role of anthropogenic and natural aerosols. To deliver these observations, CAMP2Ex utilized a combination of remote sensing and in-situ measurements. NASA\u2019s P-3B aircraft was equipped with a suite of in-situ instruments to conduct measurements of aerosol and cloud properties, trace gases, meteorological parameters, and radiative fluxes. The P-3B was also equipped with passive remote sensors (i.e. lidar, polarimeter, radar, and radiometers). A second aircraft, the SPEC Learjet 35A, was primarily dedicated to measuring detailed cloud microphysical properties. The sampling strategy designed for CAMP2Ex coordinated flight plans for both aircraft to maximize the science return. The P-3B was used primarily to conduct remote sensing measurements of cloud and precipitation structure and aerosol layers and vertical profiles of atmospheric state variables, while the Learjet flew below the P-3B to obtain the detailed cloud microphysical properties. During the 2019 field deployment in the vicinity of the Philippines, completed from August 20-October 10, the P-3B conducted 19 science flights and the SPEC Learjet conducted 11 flights. Ground-based aerosol observations were also recorded in 2018 and 2019. CAMP2Ex was completed in partnership with the Filipino research and operational weather communities. Measurements completed during CAMP2EX provide a 4-D observational view of the environment of the Philippines and its neighboring waters in terms of microphysical, hydrological, dynamical, thermodynamical and radiative properties of the environment, targeting the environment of shallow cumulus and cumulus congestus clouds.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C3880547405-LARC_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/citing-data","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/soot/power-user/CAMP2EX/2018","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://blogs.nasa.gov/earthexpeditions/tag/camp2ex/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://cmr.earthdata.nasa.gov/virtual-directory/collections/C3880547405-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/Airborne/CAMP2Ex_MetNav_AircraftInSitu_Learjet_Data_1","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://espo.nasa.gov/camp2ex","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://journals.ametsoc.org/collection/air-sea-interactions","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://journals.ametsoc.org/view/journals/bams/104/6/BAMS-D-21-0285.1.xml","format":"XML","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C3880547405-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www-air.larc.nasa.gov/missions/camp2ex/docs/CAMP2Ex-overview-27NOV2015.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://www.nasa.gov/feature/goddard/2019/philippine-airborne-campaign-targets-weather-climate-science","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/Airborne/CAMP2Ex_MetNav_AircraftInSitu_Learjet_Data_1","keyword":["earth-science-atmospheric-temperature-atmosphere","earth-science-atmospheric-temperature-atmosphere-upper-air-temperature","earth-science-atmospheric-winds-atmosphere-wind-dynamics","earth-science-platform-characteristics-spectral-engineering","earth-science-platform-characteristics-spectral-engineering-airspeed-ground-speed"],"license":"https://www.usa.gov/government-works","modified":"2026-08-25","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/LARC/SD/ASDC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": 0, \"SouthBoundingCoordinate\": 0, \"NorthBoundingCoordinate\": 20, \"EastBoundingCoordinate\": 130}]], Maximum Altitude, 9999.9 Meters","temporal":"2019-09-07/2019-09-29","theme":["Earth Science"],"title":"CAMP2Ex Learjet In-Situ Meteorological and Navigational Data"},"description":"CAMP2Ex_MetNav_AircraftInSitu_Learjet_Data are in-situ meteorological and navigational measurements conducted onboard the Learjet aircraft during the Clouds, Aerosol and Monsoon Processes-Philippines Experiment (CAMP2Ex) NASA field study. Data collection for this product is complete.\r\n\r\nCAMP2Ex was a NASA field study, with three main science objectives: aerosol effect on cloud microphysical and optical properties, aerosol and cloud influence on radiation as well as radiative feedback, and meteorology effect on aerosol distribution and aerosol-cloud interactions. Research on these three main objectives requires a comprehensive characterization of aerosol, cloud, and precipitation properties, as well as the associated meteorological and radiative parameters. Trace gas tracers are also needed for airmass type analysis to characterize the role of anthropogenic and natural aerosols. To deliver these observations, CAMP2Ex utilized a combination of remote sensing and in-situ measurements. NASA\u2019s P-3B aircraft was equipped with a suite of in-situ instruments to conduct measurements of aerosol and cloud properties, trace gases, meteorological parameters, and radiative fluxes. The P-3B was also equipped with passive remote sensors (i.e. lidar, polarimeter, radar, and radiometers). A second aircraft, the SPEC Learjet 35A, was primarily dedicated to measuring detailed cloud microphysical properties. The sampling strategy designed for CAMP2Ex coordinated flight plans for both aircraft to maximize the science return. The P-3B was used primarily to conduct remote sensing measurements of cloud and precipitation structure and aerosol layers and vertical profiles of atmospheric state variables, while the Learjet flew below the P-3B to obtain the detailed cloud microphysical properties. During the 2019 field deployment in the vicinity of the Philippines, completed from August 20-October 10, the P-3B conducted 19 science flights and the SPEC Learjet conducted 11 flights. Ground-based aerosol observations were also recorded in 2018 and 2019. CAMP2Ex was completed in partnership with the Filipino research and operational weather communities. Measurements completed during CAMP2EX provide a 4-D observational view of the environment of the Philippines and its neighboring waters in terms of microphysical, hydrological, dynamical, thermodynamical and radiative properties of the environment, targeting the environment of shallow cumulus and cumulus congestus clouds.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/f96f8080-a907-4b2b-aa22-23bb7d4b9efa","harvest_record_raw":"https://catalog.data.gov/harvest_record/f96f8080-a907-4b2b-aa22-23bb7d4b9efa/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/Airborne/CAMP2Ex_MetNav_AircraftInSitu_Learjet_Data_1","keyword":["earth-science-atmospheric-temperature-atmosphere","earth-science-atmospheric-temperature-atmosphere-upper-air-temperature","earth-science-atmospheric-winds-atmosphere-wind-dynamics","earth-science-platform-characteristics-spectral-engineering","earth-science-platform-characteristics-spectral-engineering-airspeed-ground-speed"],"last_harvested_date":"2026-09-02T00:47:06.727191","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":4,"publisher":"NASA/LARC/SD/ASDC","slug":"camp2ex-learjet-in-situ-meteorological-and-navigational-data","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"CAMP2Ex Learjet In-Situ Meteorological and Navigational Data","type":"dataset"},{"_score":18.756584,"_sort":[1788310026374,18.756584,1,"1ee6de1b-6f7e-48bc-b8c5-3f930ba4cc89"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"CAMP2Ex_MetNav_AircraftInSitu_P3_Data are in-situ meteorological and navigational measurements conducted onboard the P-3 aircraft during the Clouds, Aerosol and Monsoon Processes-Philippines Experiment (CAMP2Ex) NASA field study. Data collection for this product is complete.\r\n\r\nCAMP2Ex was a NASA field study, with three main science objectives: aerosol effect on cloud microphysical and optical properties, aerosol and cloud influence on radiation as well as radiative feedback, and meteorology effect on aerosol distribution and aerosol-cloud interactions. Research on these three main objectives requires a comprehensive characterization of aerosol, cloud, and precipitation properties, as well as the associated meteorological and radiative parameters. Trace gas tracers are also needed for airmass type analysis to characterize the role of anthropogenic and natural aerosols. To deliver these observations, CAMP2Ex utilized a combination of remote sensing and in-situ measurements. NASA\u2019s P-3B aircraft was equipped with a suite of in-situ instruments to conduct measurements of aerosol and cloud properties, trace gases, meteorological parameters, and radiative fluxes. The P-3B was also equipped passive remote sensors (i.e. lidar, polarimeter, radar, and radiometers). A second aircraft, the SPEC Learjet 35A, was primarily dedicated to measuring detailed cloud microphysical properties. The sampling strategy designed for CAMP2Ex coordinated flight plans for both aircraft to maximize the science return. The P-3B was used primarily to conduct remote sensing measurements of cloud and precipitation structure and aerosol layers and vertical profiles of atmospheric state variable, while the Learjet flew below the P-3B to obtain the detailed cloud microphysical properties. During the 2019 field deployment in the vicinity of the Philippines, completed from August 20-October 10, the P-3B conducted 19 science flights and the SPEC Learjet conducted 11 flights. Ground-based aerosol observations were also recorded in 2018 and 2019. CAMP2Ex was completed in partnership with Philippine research and operational weather communities. Measurements completed during CAMP2EX provide a 4-D observational view of the environment of the Philippines and its neighboring waters in terms of microphysical, hydrological, dynamical, thermodynamical and radiative properties of the environment, targeting the environment of shallow cumulus and cumulus congestus clouds.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C3880547447-LARC_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/citing-data","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/soot/power-user/CAMP2EX/2019","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://blogs.nasa.gov/earthexpeditions/tag/camp2ex/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://cmr.earthdata.nasa.gov/virtual-directory/collections/C3880547447-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/Airborne/CAMP2Ex_MetNav_AircraftInSitu_P3_Data_1","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://espo.nasa.gov/camp2ex","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://journals.ametsoc.org/collection/air-sea-interactions","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://journals.ametsoc.org/view/journals/bams/104/6/BAMS-D-21-0285.1.xml","format":"XML","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C3880547447-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www-air.larc.nasa.gov/missions/camp2ex/docs/CAMP2Ex-overview-27NOV2015.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://www.nasa.gov/feature/goddard/2019/philippine-airborne-campaign-targets-weather-climate-science","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/Airborne/CAMP2Ex_MetNav_AircraftInSitu_P3_Data_1","keyword":["earth-science-atmospheric-pressure-atmosphere","earth-science-atmospheric-temperature-atmosphere","earth-science-atmospheric-temperature-atmosphere-surface-temperature","earth-science-atmospheric-temperature-atmosphere-upper-air-temperature","earth-science-atmospheric-water-vapor-atmosphere","earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators","earth-science-atmospheric-winds-atmosphere","earth-science-atmospheric-winds-atmosphere-surface-winds","earth-science-atmospheric-winds-atmosphere-upper-level-winds","earth-science-atmospheric-winds-atmosphere-wind-dynamics","earth-science-platform-characteristics-spectral-engineering-airspeed-ground-speed"],"license":"https://www.usa.gov/government-works","modified":"2026-08-25","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/LARC/SD/ASDC"},"spatial":"[\"CARTESIAN\", [{\"SouthBoundingCoordinate\": -10, \"NorthBoundingCoordinate\": 45, \"WestBoundingCoordinate\": -180, \"EastBoundingCoordinate\": 180}]], Maximum Altitude, 9999.9 Meters","temporal":"2019-08-03/2019-10-10","theme":["Earth Science"],"title":"CAMP2Ex P-3 In-Situ Meteorological and Navigational Data"},"description":"CAMP2Ex_MetNav_AircraftInSitu_P3_Data are in-situ meteorological and navigational measurements conducted onboard the P-3 aircraft during the Clouds, Aerosol and Monsoon Processes-Philippines Experiment (CAMP2Ex) NASA field study. Data collection for this product is complete.\r\n\r\nCAMP2Ex was a NASA field study, with three main science objectives: aerosol effect on cloud microphysical and optical properties, aerosol and cloud influence on radiation as well as radiative feedback, and meteorology effect on aerosol distribution and aerosol-cloud interactions. Research on these three main objectives requires a comprehensive characterization of aerosol, cloud, and precipitation properties, as well as the associated meteorological and radiative parameters. Trace gas tracers are also needed for airmass type analysis to characterize the role of anthropogenic and natural aerosols. To deliver these observations, CAMP2Ex utilized a combination of remote sensing and in-situ measurements. NASA\u2019s P-3B aircraft was equipped with a suite of in-situ instruments to conduct measurements of aerosol and cloud properties, trace gases, meteorological parameters, and radiative fluxes. The P-3B was also equipped passive remote sensors (i.e. lidar, polarimeter, radar, and radiometers). A second aircraft, the SPEC Learjet 35A, was primarily dedicated to measuring detailed cloud microphysical properties. The sampling strategy designed for CAMP2Ex coordinated flight plans for both aircraft to maximize the science return. The P-3B was used primarily to conduct remote sensing measurements of cloud and precipitation structure and aerosol layers and vertical profiles of atmospheric state variable, while the Learjet flew below the P-3B to obtain the detailed cloud microphysical properties. During the 2019 field deployment in the vicinity of the Philippines, completed from August 20-October 10, the P-3B conducted 19 science flights and the SPEC Learjet conducted 11 flights. Ground-based aerosol observations were also recorded in 2018 and 2019. CAMP2Ex was completed in partnership with Philippine research and operational weather communities. Measurements completed during CAMP2EX provide a 4-D observational view of the environment of the Philippines and its neighboring waters in terms of microphysical, hydrological, dynamical, thermodynamical and radiative properties of the environment, targeting the environment of shallow cumulus and cumulus congestus clouds.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/ff946405-e8cf-4544-945a-5808a45cb7e6","harvest_record_raw":"https://catalog.data.gov/harvest_record/ff946405-e8cf-4544-945a-5808a45cb7e6/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/Airborne/CAMP2Ex_MetNav_AircraftInSitu_P3_Data_1","keyword":["earth-science-atmospheric-pressure-atmosphere","earth-science-atmospheric-temperature-atmosphere","earth-science-atmospheric-temperature-atmosphere-surface-temperature","earth-science-atmospheric-temperature-atmosphere-upper-air-temperature","earth-science-atmospheric-water-vapor-atmosphere","earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators","earth-science-atmospheric-winds-atmosphere","earth-science-atmospheric-winds-atmosphere-surface-winds","earth-science-atmospheric-winds-atmosphere-upper-level-winds","earth-science-atmospheric-winds-atmosphere-wind-dynamics","earth-science-platform-characteristics-spectral-engineering-airspeed-ground-speed"],"last_harvested_date":"2026-09-02T00:47:06.374749","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"NASA/LARC/SD/ASDC","slug":"camp2ex-p-3-in-situ-meteorological-and-navigational-data","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"CAMP2Ex P-3 In-Situ Meteorological and Navigational Data","type":"dataset"},{"_score":15.550116,"_sort":[1788310021096,15.550116,1,"41dc7433-56f3-4821-9bc6-cde1041291f5"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The GPM Ground Validation CAX1 Radar RB5 format OLYMPEX dataset consists of radar parameters, such as radar reflectivity, Doppler velocity, Doppler width, Differential reflectivity, and signal quality index, provided on a 0.4 to 1.0 km spatial resolution within the OLYMPEX field campaign study region in the state of Washington. These data were obtained for the GPM Ground Validation OLYMPEX field campaign by the SELEX Meteor 60DX10 Compact Weather (CAX1) radar. The CAX1 radar was located at the southern tip of Vancouver Island on the Canadian Forces Base (CFB) Esquimalt Albert Head (AHD) military training area. The CAX1 radar was operated by Environment and Climate Change Canada (ECCC) to support the OLYMPEX field campaign. These data are available in RB5 binary and PNG formats from November 13, 2015 to April 20, 2016.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C1984725037-GHRC_DAAC.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"http://dx.doi.org/10.5067/GPMGV/OLYMPEX/DATA101","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"http://olympex.atmos.washington.edu/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ams.confex.com/ams/17Mountain/webprogram/Paper296448.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://dx.doi.org/10.1175/BAMS-D-16-0182.1","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.earthdata.nasa.gov/browseui/#pub/gpmcax1rbolyx__1/docs/2017-Oct__CAX1_DPATC_readme.rtf","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.earthdata.nasa.gov/browseui/#pub/gpmcax1rbolyx__1/docs/2017-Oct__CAX1_ZDR_bias_statement.rtf","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.earthdata.nasa.gov/browseui/#pub/gpmcax1rbolyx__1/docs/RB5_ProductsAlgorithms_5430.DPATC_n_REFERENCE.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.earthdata.nasa.gov/browseui/#pub/gpmcax1rbolyx__1/docs/gpmcax1rbolyx_dataset.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.nsstc.nasa.gov/home/about-ghrc/citing-ghrc-daac-data","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.nsstc.nasa.gov/home/field-campaigns/olympex","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C1984725037-GHRC_DAAC","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/GPMGV/OLYMPEX/XPOL/DATA201","keyword":["earth-science-radar-spectral-engineering-doppler-velocity","earth-science-radar-spectral-engineering-radar-reflectivity","earth-science-radar-spectral-engineering-spectrum-width"],"license":"https://www.usa.gov/government-works","modified":"2026-08-25","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/MSFC/GHRC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -124.376, \"NorthBoundingCoordinate\": 49.2854, \"EastBoundingCoordinate\": -122.58, \"SouthBoundingCoordinate\": 47.4888}]]","temporal":"2015-11-13/2016-04-20","theme":["Earth Science"],"title":"GPM Ground Validation CAX1 Radar RB5 format OLYMPEX V1"},"description":"The GPM Ground Validation CAX1 Radar RB5 format OLYMPEX dataset consists of radar parameters, such as radar reflectivity, Doppler velocity, Doppler width, Differential reflectivity, and signal quality index, provided on a 0.4 to 1.0 km spatial resolution within the OLYMPEX field campaign study region in the state of Washington. These data were obtained for the GPM Ground Validation OLYMPEX field campaign by the SELEX Meteor 60DX10 Compact Weather (CAX1) radar. The CAX1 radar was located at the southern tip of Vancouver Island on the Canadian Forces Base (CFB) Esquimalt Albert Head (AHD) military training area. The CAX1 radar was operated by Environment and Climate Change Canada (ECCC) to support the OLYMPEX field campaign. These data are available in RB5 binary and PNG formats from November 13, 2015 to April 20, 2016.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/b72f2c5a-27d1-4eed-b908-e5180e7a498d","harvest_record_raw":"https://catalog.data.gov/harvest_record/b72f2c5a-27d1-4eed-b908-e5180e7a498d/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/GPMGV/OLYMPEX/XPOL/DATA201","keyword":["earth-science-radar-spectral-engineering-doppler-velocity","earth-science-radar-spectral-engineering-radar-reflectivity","earth-science-radar-spectral-engineering-spectrum-width"],"last_harvested_date":"2026-09-02T00:47:01.096595","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"NASA/MSFC/GHRC","slug":"gpm-ground-validation-cax1-radar-rb5-format-olympex-v1","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"GPM Ground Validation CAX1 Radar RB5 format OLYMPEX V1","type":"dataset"},{"_score":56.612465,"_sort":[1788310020774,56.612465,2,"a8b25c26-f270-44c2-8bc2-0fecdce86aab"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The GPM Ground Validation Environment Canada (EC) VAISALA Ceilometer GCPEx dataset was collected during the GPM Cold-season Precipitation Experiment (GCPEx) in Huronia, Canada from January 15, 2012 through March 1, 2012. The GPM Cold-season Precipitation Experiment (GCPEx) occurred in Ontario, Canada during the winter season of 2011-2012. GCPEx addressed shortcomings in the GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. The CT25K ceilometer uses pulsed diode laser LIDAR technology to derive backscatter profiles, cloud heights and vertical visibilities. It is also able to detect 3 cloud layers simultaneously.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C1979129516-GHRC_DAAC.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"http://dx.doi.org/10.5067/GPMGV/GCPEX/DATA101","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.earthdata.nasa.gov/browseui/#pub/gpmceilgcpex__1/browse/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.earthdata.nasa.gov/browseui/#pub/gpmceilgcpex__1/browse/gcpex_ceil_20120118_EC_HURONIA.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.earthdata.nasa.gov/browseui/#pub/gpmceilgcpex__1/docs/CEILOMETER_CT25K_UserGuide.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.earthdata.nasa.gov/browseui/#pub/gpmceilgcpex__1/docs/gpmceilgcpex_dataset.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.nsstc.nasa.gov/home/about-ghrc/citing-ghrc-daac-data","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.nsstc.nasa.gov/home/field-campaigns/GCPEx","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C1979129516-GHRC_DAAC","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/GPMGV/GCPEX/CEILOMETERS/DATA201","keyword":["earth-science-clouds-atmosphere-cloud-properties","earth-science-lidar-spectral-engineering-lidar-backscatter"],"license":"https://www.usa.gov/government-works","modified":"2026-08-25","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/MSFC/GHRC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -79.5, \"NorthBoundingCoordinate\": 44.5, \"EastBoundingCoordinate\": -78.5, \"SouthBoundingCoordinate\": 43.5}]]","temporal":"2012-01-15/2012-03-01","theme":["Earth Science"],"title":"GPM GROUND VALIDATION ENVIRONMENT CANADA (EC) VAISALA CEILOMETER GCPEX V1"},"description":"The GPM Ground Validation Environment Canada (EC) VAISALA Ceilometer GCPEx dataset was collected during the GPM Cold-season Precipitation Experiment (GCPEx) in Huronia, Canada from January 15, 2012 through March 1, 2012. The GPM Cold-season Precipitation Experiment (GCPEx) occurred in Ontario, Canada during the winter season of 2011-2012. GCPEx addressed shortcomings in the GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. The CT25K ceilometer uses pulsed diode laser LIDAR technology to derive backscatter profiles, cloud heights and vertical visibilities. It is also able to detect 3 cloud layers simultaneously.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/c80d1b1d-17f3-4618-b8d1-57d748cce882","harvest_record_raw":"https://catalog.data.gov/harvest_record/c80d1b1d-17f3-4618-b8d1-57d748cce882/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/GPMGV/GCPEX/CEILOMETERS/DATA201","keyword":["earth-science-clouds-atmosphere-cloud-properties","earth-science-lidar-spectral-engineering-lidar-backscatter"],"last_harvested_date":"2026-09-02T00:47:00.774663","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":2,"publisher":"NASA/MSFC/GHRC","slug":"gpm-ground-validation-environment-canada-ec-vaisala-ceilometer-gcpex-v1","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"GPM GROUND VALIDATION ENVIRONMENT CANADA (EC) VAISALA CEILOMETER GCPEX V1","type":"dataset"},{"_score":18.933983,"_sort":[1788310019329,18.933983,1,"60ab3d38-0102-4548-b501-94311fd391a6"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"This data set contains time codes generated during flights over Antarctica using the TrueTime 705-101 GPS Time Code Generator. The data were collected by scientists working on the Investigating the Cryospheric Evolution of the Central Antarctic Plate (ICECAP) project, which is funded by the National Science Foundation (NSF) and the Natural Environment Research Council (NERC), with additional support from NASA Operation IceBridge.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C1386246895-NSIDCV0.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://daacdata.apps.nsidc.org/pub/DATASETS/ICEBRIDGE/ITKTC0_UTIGkinematicsRaw_v01/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/FESJNXKYDCOE","format":"HTML","mediaType":"text/html"}],"identifier":"10.5067/FESJNXKYDCOE","keyword":["earth-science-platform-characteristics-spectral-engineering-data-synchronization-time"],"license":"https://www.usa.gov/government-works","modified":"2026-08-25","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA NSIDC DAAC;UTX-AUSTIN/IG"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -180.0, \"NorthBoundingCoordinate\": -53.0, \"EastBoundingCoordinate\": 180.0, \"SouthBoundingCoordinate\": -90.0}]]","temporal":"2009-01-01/2010-12-30","theme":["Earth Science"],"title":"IceBridge L0 Raw Kinematics GPS Time Codes, Version 1"},"description":"This data set contains time codes generated during flights over Antarctica using the TrueTime 705-101 GPS Time Code Generator. The data were collected by scientists working on the Investigating the Cryospheric Evolution of the Central Antarctic Plate (ICECAP) project, which is funded by the National Science Foundation (NSF) and the Natural Environment Research Council (NERC), with additional support from NASA Operation IceBridge.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/e45ad0a0-20ad-41a4-babd-da2392d21bc4","harvest_record_raw":"https://catalog.data.gov/harvest_record/e45ad0a0-20ad-41a4-babd-da2392d21bc4/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/FESJNXKYDCOE","keyword":["earth-science-platform-characteristics-spectral-engineering-data-synchronization-time"],"last_harvested_date":"2026-09-02T00:46:59.329563","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"NASA NSIDC DAAC;UTX-AUSTIN/IG","slug":"icebridge-l0-raw-kinematics-gps-time-codes-version-1","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"IceBridge L0 Raw Kinematics GPS Time Codes, Version 1","type":"dataset"},{"_score":10.582193,"_sort":[1788309853169,10.582193,10,"0bc9917f-bdbe-4d4e-95db-6d94bc115417"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The Global Hyperspectral Imaging Spectral-library of Agricultural crops (GHISA) is a comprehensive compilation, collation, harmonization, and standardization of hyperspectral signatures of agricultural crops of the world. This hyperspectral library of agricultural crops is developed for all major world crops and was collected by United States Geological Survey (USGS) and partnering volunteer agencies from around the world. Crops include wheat, rice, barley, corn, soybeans, cotton, sugarcane, potatoes, chickpeas, lentils, and pigeon peas, which together occupy about 65% of all global cropland areas. The GHISA spectral libraries were collected and collated using spaceborne, airborne (e.g., aircraft and drones), and ground based hyperspectral imaging spectroscopy. \n\nThe GHISA for the Conterminous United States (GHISACONUS) Version 1 product provides dominant crop data in different growth stages for various agroecological zones (AEZs) of the United States. The GHISA hyperspectral library of the five major agricultural crops (e.g., winter wheat, rice, corn, soybeans, and cotton) for CONUS was developed using Earth Observing-1 (EO-1) Hyperion hyperspectral data acquired from 2008 through 2015 from different AEZs of CONUS using the United States Department of Agriculture (USDA) Cropland Data Layer ([CDL](https://nassgeodata.gmu.edu/CropScape/)) as reference data.\n\nGHISACONUS is comprised of seven AEZs throughout the United States covering the major agricultural crops in six different growth stages: emergence/very early vegetative (Emerge VEarly), early and mid vegetative (Early Mid), late vegetative (Late), critical, maturing/senescence (Mature Senesc), and harvest. The crop growth stage data were derived using crop calendars generated by the Center for Sustainability and the Global Environment ([SAGE](https://nelson.wisc.edu/sage/)), University of Wisconsin-Madison. \n\nProvided in the CSV file is the spectral library including image information, geographic coordinates, corresponding agroecological zone, crop type labels, and crop growth stage labels for the United States.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C2763264663-LPCLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/Community/GHISA/GHISACONUS.001","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://lpdaac.usgs.gov/documents/463/GHISACONUS_V1_Codes.zip","format":"ZIP","mediaType":"application/zip"},{"@type":"dcat:Distribution","downloadURL":"https://lpdaac.usgs.gov/documents/609/GHISACONUS_User_Guide_V1.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://lpdaac.usgs.gov/documents/610/GHISACONUS_ATBD.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C2763264663-LPCLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.earthdata.nasa.gov/centers/lp-daac","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/Community/GHISA/GHISACONUS.001","keyword":["earth-science-agricultural-plant-science-agriculture"],"license":"https://www.usa.gov/government-works","modified":"2026-08-25","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"DOI/USGS/WGSC;LP DAAC"},"spatial":"[\"CARTESIAN\", [{\"NorthBoundingCoordinate\": 49, \"WestBoundingCoordinate\": -125, \"EastBoundingCoordinate\": -67, \"SouthBoundingCoordinate\": 24}]]","temporal":"2008-01-01/2015-12-31","theme":["Earth Science"],"title":"Global Hyperspectral Imaging Spectral-library of Agricultural crops for Conterminous United States V001"},"description":"The Global Hyperspectral Imaging Spectral-library of Agricultural crops (GHISA) is a comprehensive compilation, collation, harmonization, and standardization of hyperspectral signatures of agricultural crops of the world. This hyperspectral library of agricultural crops is developed for all major world crops and was collected by United States Geological Survey (USGS) and partnering volunteer agencies from around the world. Crops include wheat, rice, barley, corn, soybeans, cotton, sugarcane, potatoes, chickpeas, lentils, and pigeon peas, which together occupy about 65% of all global cropland areas. The GHISA spectral libraries were collected and collated using spaceborne, airborne (e.g., aircraft and drones), and ground based hyperspectral imaging spectroscopy. \n\nThe GHISA for the Conterminous United States (GHISACONUS) Version 1 product provides dominant crop data in different growth stages for various agroecological zones (AEZs) of the United States. The GHISA hyperspectral library of the five major agricultural crops (e.g., winter wheat, rice, corn, soybeans, and cotton) for CONUS was developed using Earth Observing-1 (EO-1) Hyperion hyperspectral data acquired from 2008 through 2015 from different AEZs of CONUS using the United States Department of Agriculture (USDA) Cropland Data Layer ([CDL](https://nassgeodata.gmu.edu/CropScape/)) as reference data.\n\nGHISACONUS is comprised of seven AEZs throughout the United States covering the major agricultural crops in six different growth stages: emergence/very early vegetative (Emerge VEarly), early and mid vegetative (Early Mid), late vegetative (Late), critical, maturing/senescence (Mature Senesc), and harvest. The crop growth stage data were derived using crop calendars generated by the Center for Sustainability and the Global Environment ([SAGE](https://nelson.wisc.edu/sage/)), University of Wisconsin-Madison. \n\nProvided in the CSV file is the spectral library including image information, geographic coordinates, corresponding agroecological zone, crop type labels, and crop growth stage labels for the United States.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/fa349bcb-befa-43eb-8fe5-bed8b5969979","harvest_record_raw":"https://catalog.data.gov/harvest_record/fa349bcb-befa-43eb-8fe5-bed8b5969979/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/Community/GHISA/GHISACONUS.001","keyword":["earth-science-agricultural-plant-science-agriculture"],"last_harvested_date":"2026-09-02T00:44:13.169729","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":10,"publisher":"DOI/USGS/WGSC;LP DAAC","slug":"global-hyperspectral-imaging-spectral-library-of-agricultural-crops-for-conterminous-unite","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"Global Hyperspectral Imaging Spectral-library of Agricultural crops for Conterminous United States V001","type":"dataset"},{"_score":16.080627,"_sort":[1788309851871,16.080627,1,"9fdc568e-27db-4eeb-84fe-523f6871065a"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The GPM Ground Validation KTWX NEXRAD MC3E dataset was collected from April 22, 2011 to June 6, 2011 for the Midlatitude Continental Convective Clouds Experiment (MC3E) which took place in central Oklahoma. The overarching goal of MC3E was to provide the most complete characterization of convective cloud systems, precipitation, and the environment that has ever been obtained, providing constraints for model cumulus parameterizations and space-based rainfall retrieval algorithms over land that had never before been available. The Next Generation Weather Radar system (NEXRAD) is comprised of 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) sites throughout the United States and select overseas locations. The GPM Ground Validation NEXRAD MC3E data files are available as compressed binary files.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C1979618378-GHRC_DAAC.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"http://dx.doi.org/10.5067/GPMGV/MC3E/DATA101","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.earthdata.nasa.gov/browseui/#pub/gpmktwxmc3e__1/browse/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.earthdata.nasa.gov/browseui/#pub/gpmktwxmc3e__1/docs/gpmnexradmc3e_dataset.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.nsstc.nasa.gov/home/about-ghrc/citing-ghrc-daac-data","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.nsstc.nasa.gov/home/field-campaigns/mc3e","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C1979618378-GHRC_DAAC","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/MC3E/NEXRAD/DATA205","keyword":["earth-science-radar-spectral-engineering-mean-radial-velocity","earth-science-radar-spectral-engineering-radar-imagery","earth-science-radar-spectral-engineering-radar-reflectivity","earth-science-radar-spectral-engineering-spectrum-width"],"license":"https://www.usa.gov/government-works","modified":"2026-08-25","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/MSFC/GHRC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -101.55, \"NorthBoundingCoordinate\": 43.1339, \"EastBoundingCoordinate\": -90.9161, \"SouthBoundingCoordinate\": 34.86}]]","temporal":"2011-06-01/2011-06-01","theme":["Earth Science"],"title":"GPM GROUND VALIDATION KTWX NEXRAD MC3E V1"},"description":"The GPM Ground Validation KTWX NEXRAD MC3E dataset was collected from April 22, 2011 to June 6, 2011 for the Midlatitude Continental Convective Clouds Experiment (MC3E) which took place in central Oklahoma. The overarching goal of MC3E was to provide the most complete characterization of convective cloud systems, precipitation, and the environment that has ever been obtained, providing constraints for model cumulus parameterizations and space-based rainfall retrieval algorithms over land that had never before been available. The Next Generation Weather Radar system (NEXRAD) is comprised of 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) sites throughout the United States and select overseas locations. The GPM Ground Validation NEXRAD MC3E data files are available as compressed binary files.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/116fd050-24e0-4a98-adf2-582b45905a0f","harvest_record_raw":"https://catalog.data.gov/harvest_record/116fd050-24e0-4a98-adf2-582b45905a0f/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/MC3E/NEXRAD/DATA205","keyword":["earth-science-radar-spectral-engineering-mean-radial-velocity","earth-science-radar-spectral-engineering-radar-imagery","earth-science-radar-spectral-engineering-radar-reflectivity","earth-science-radar-spectral-engineering-spectrum-width"],"last_harvested_date":"2026-09-02T00:44:11.871524","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"NASA/MSFC/GHRC","slug":"gpm-ground-validation-ktwx-nexrad-mc3e-v1","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"GPM GROUND VALIDATION KTWX NEXRAD MC3E V1","type":"dataset"},{"_score":10.852955,"_sort":[1788309788059,10.852955,1,"cbdfbf7f-efde-4fb4-80b4-48db51d924b4"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The VJ114IMG_NRT is a Near Real Time (NRT) NOAA-20 (formally JPSS-1) /VIIRS 375 m active fire detection data product. Compared to other coarser resolution (\u22651km) satellite fire detection products, the improved 375 m data provide greater response over fires of relatively small areas, as well as improved mapping of large fire perimeters. Consequently, the data are well suited for use in support of fire management (e.g., near real-time alert systems), as well as other science applications requiring improved fire mapping fidelity. Due to frequent data saturation issues, the current 375 m fire product provides detection information only with no sub-pixel fire characterization.\n\n\nThe algorithm uses all five 375 m VIIRS channels to detect fires and separate land, water, and cloud pixels in the image. Additional 750 m channels complement the available VIIRS multispectral data. Those channels are used as input to the baseline active fire detection product, which provides continuity to the EOS/MODIS 1 km Fire and Thermal Anomalies product.\n\n\nThe VIIRS 375 m fire detection data is a Level 2 product based on the input Science Data Record (SDR) Level 1 swath format. The NRT product is currently available through NASA's Land, Atmosphere Near real-time Capability for EOS (LANCE). The data are formatted as NetCDF4 files. Complementary ASCII files containing the short list of fire pixels detected are also available through LANCE FIRMS processing systems.\n\n\nFor more information read:\nSchroeder, W., Oliva, P., Giglio, L., & Csiszar, I. A. (2014). The New VIIRS 375m active fire detection data product: algorithm description and initial assessment. Remote Sensing of Environment, 143, 85-96. doi:10.1016/j.rse.2013.12.008","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C1907902788-LANCEMODIS.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://firms.modaps.eosdis.nasa.gov/map/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://lance3.modaps.eosdis.nasa.gov/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://nrt3.modaps.eosdis.nasa.gov/archive/allData/5200/VJ114IMG_NRT/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C1907902788-LANCEMODIS","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/VIIRS/VJ114IMG_NRT.002","keyword":["earth-science-ecological-dynamics-biosphere-fire-ecology","earth-science-surface-radiative-properties-land-surface","earth-science-surface-thermal-properties-land-surface-land-surface-temperature"],"license":"https://www.usa.gov/government-works","modified":"2026-08-25","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/GSFC/EOS/ESDIS/LANCE MODIS"},"spatial":"[\"CARTESIAN\", [{\"NorthBoundingCoordinate\": 90, \"WestBoundingCoordinate\": -180, \"EastBoundingCoordinate\": 180, \"SouthBoundingCoordinate\": -90}]]","theme":["Earth Science"],"title":"VIIRS/JPSS1 Active Fires 6-Min L2 Swath 375m NRT"},"description":"The VJ114IMG_NRT is a Near Real Time (NRT) NOAA-20 (formally JPSS-1) /VIIRS 375 m active fire detection data product. Compared to other coarser resolution (\u22651km) satellite fire detection products, the improved 375 m data provide greater response over fires of relatively small areas, as well as improved mapping of large fire perimeters. Consequently, the data are well suited for use in support of fire management (e.g., near real-time alert systems), as well as other science applications requiring improved fire mapping fidelity. Due to frequent data saturation issues, the current 375 m fire product provides detection information only with no sub-pixel fire characterization.\n\n\nThe algorithm uses all five 375 m VIIRS channels to detect fires and separate land, water, and cloud pixels in the image. Additional 750 m channels complement the available VIIRS multispectral data. Those channels are used as input to the baseline active fire detection product, which provides continuity to the EOS/MODIS 1 km Fire and Thermal Anomalies product.\n\n\nThe VIIRS 375 m fire detection data is a Level 2 product based on the input Science Data Record (SDR) Level 1 swath format. The NRT product is currently available through NASA's Land, Atmosphere Near real-time Capability for EOS (LANCE). The data are formatted as NetCDF4 files. Complementary ASCII files containing the short list of fire pixels detected are also available through LANCE FIRMS processing systems.\n\n\nFor more information read:\nSchroeder, W., Oliva, P., Giglio, L., & Csiszar, I. A. (2014). The New VIIRS 375m active fire detection data product: algorithm description and initial assessment. Remote Sensing of Environment, 143, 85-96. doi:10.1016/j.rse.2013.12.008","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/2951c6f5-1d85-4cb7-8b6a-979098089149","harvest_record_raw":"https://catalog.data.gov/harvest_record/2951c6f5-1d85-4cb7-8b6a-979098089149/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/VIIRS/VJ114IMG_NRT.002","keyword":["earth-science-ecological-dynamics-biosphere-fire-ecology","earth-science-surface-radiative-properties-land-surface","earth-science-surface-thermal-properties-land-surface-land-surface-temperature"],"last_harvested_date":"2026-09-02T00:43:08.059132","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"NASA/GSFC/EOS/ESDIS/LANCE MODIS","slug":"viirs-jpss1-active-fires-6-min-l2-swath-375m-nrt","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"VIIRS/JPSS1 Active Fires 6-Min L2 Swath 375m NRT","type":"dataset"},{"_score":12.317596,"_sort":[1788309786431,12.317596,2,"9917a4db-7bae-403f-a3ba-f1df08b81edd"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The VIIRS/JPSS2 Active Fires 6-Min L2 Swath 375m NRT with short-name VNP14IMG_NRT is a Near Real Time (NRT) active fire detection data product (Schroeder 2014). The product is built on the EOS/MODIS fire product heritage [Kaufman et al., 1998; Giglio et al., 2003], using a multi-spectral contextual algorithm to identify sub-pixel fire activity and other thermal anomalies in the Level 1 (swath) input data. The algorithm uses all five 375 m VIIRS channels to detect fires and separate land, water, and cloud pixels in the image. Additional 750 m channels complement the available VIIRS multispectral data. Those channels are used as input to the baseline active fire detection product, which provides continuity to the EOS/MODIS 1 km Fire and Thermal Anomalies product.
\nThe VIIRS 375 m fire detection data is a 6-min Level 2 swath product based on the input Science Data Record (SDR) Level 1 swath format. The NRT product is currently available through NASA's Land, Atmosphere Near real-time Capability for EOS (LANCE). The data are formatted as NetCDF4 files.\n\n\nFor more information read:\nSchroeder, W., Oliva, P., Giglio, L., & Csiszar, I. A. (2014). The New VIIRS 375m active fire detection data product: algorithm description and initial assessment. Remote Sensing of Environment, 143, 85-96. doi:10.1016/j.rse.2013.12.008 PDF from UMD","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C2837613056-LANCEMODIS.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://firms.modaps.eosdis.nasa.gov/map/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://nrt3.modaps.eosdis.nasa.gov/archive/allData/5200/VJ214IMG_NRT/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C2837613056-LANCEMODIS","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://viirsland.gsfc.nasa.gov/PDF/VIIRS_activefire_User_Guide.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://www.earthdata.nasa.gov/data/instruments/viirs/land-near-real-time-data","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/VIIRS/VJ214IMG_NRT.002","keyword":["earth-science-ecological-dynamics-biosphere-fire-ecology","earth-science-surface-radiative-properties-land-surface","earth-science-surface-thermal-properties-land-surface-land-surface-temperature"],"license":"https://www.usa.gov/government-works","modified":"2026-08-25","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/GSFC/EOS/ESDIS/LANCE MODIS"},"spatial":"[\"CARTESIAN\", [{\"NorthBoundingCoordinate\": 90, \"WestBoundingCoordinate\": -180, \"EastBoundingCoordinate\": 180, \"SouthBoundingCoordinate\": -90}]]","theme":["Earth Science"],"title":"VIIRS/JPSS2 Active Fires 6-Min L2 Swath 375m NRT"},"description":"The VIIRS/JPSS2 Active Fires 6-Min L2 Swath 375m NRT with short-name VNP14IMG_NRT is a Near Real Time (NRT) active fire detection data product (Schroeder 2014). The product is built on the EOS/MODIS fire product heritage [Kaufman et al., 1998; Giglio et al., 2003], using a multi-spectral contextual algorithm to identify sub-pixel fire activity and other thermal anomalies in the Level 1 (swath) input data. The algorithm uses all five 375 m VIIRS channels to detect fires and separate land, water, and cloud pixels in the image. Additional 750 m channels complement the available VIIRS multispectral data. Those channels are used as input to the baseline active fire detection product, which provides continuity to the EOS/MODIS 1 km Fire and Thermal Anomalies product.
\nThe VIIRS 375 m fire detection data is a 6-min Level 2 swath product based on the input Science Data Record (SDR) Level 1 swath format. The NRT product is currently available through NASA's Land, Atmosphere Near real-time Capability for EOS (LANCE). The data are formatted as NetCDF4 files.\n\n\nFor more information read:\nSchroeder, W., Oliva, P., Giglio, L., & Csiszar, I. A. (2014). The New VIIRS 375m active fire detection data product: algorithm description and initial assessment. Remote Sensing of Environment, 143, 85-96. doi:10.1016/j.rse.2013.12.008 PDF from UMD","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/a5bab876-6e65-4ae5-ab25-d90e6f669d80","harvest_record_raw":"https://catalog.data.gov/harvest_record/a5bab876-6e65-4ae5-ab25-d90e6f669d80/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/VIIRS/VJ214IMG_NRT.002","keyword":["earth-science-ecological-dynamics-biosphere-fire-ecology","earth-science-surface-radiative-properties-land-surface","earth-science-surface-thermal-properties-land-surface-land-surface-temperature"],"last_harvested_date":"2026-09-02T00:43:06.431143","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":2,"publisher":"NASA/GSFC/EOS/ESDIS/LANCE MODIS","slug":"viirs-jpss2-active-fires-6-min-l2-swath-375m-nrt","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"VIIRS/JPSS2 Active Fires 6-Min L2 Swath 375m NRT","type":"dataset"},{"_score":39.74702,"_sort":[1788309775345,39.74702,1,"fbb9b39e-c542-44af-b991-4b340770f4c0"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"Version 07 is the current version of the data set. Older versions will no longer be available and have been superseded by Version 07.\n.\n\nThis is environmental data that includes the profiles of atmospheric parameters assumed in the L2 retrieval algorithm.\n\nThis GPM data type provides single- and dual-frequency-derived precipitation estimates from the Ku and Ka radars of the Dual-Frequency Precipitation Radar (DPR) on the core GPM spacecraft. The output consists of three main classes of precipitation products derived from the: \n+ the Ku-band frequency over a wide swath (245 km);\n+ the Ka-band frequency over a narrow swath (125 km), and\n+ the dual-frequency data over the narrow swath. \n\nThe Ka-band results are further divided into the standard and high-sensitivity estimates. In the standard sensitivity mode, the fields of view within the inner swath are matched to those of the Ku-band. Data from these matched-beam Ku- and Ka-band fields of view are used to derive the dual-frequency precipitation products. The retrievals are performed at each radar range bin along the slant path of the radar instrument field of view (IFOV). \n\nThe dual-frequency retrieval benefits from having co-aligned measurements at Ku- and Ka-bands. Data from these measurements are used to infer properties of the particle size distribution, which are expected to lead to improved estimates of rainfall rate and equivalent liquid water content. Dual-frequency data are expected to improve the capability to discriminate among water, ice, and mixed-phase hydrometeors as a function of height. This capability is particularly important in convective storms where a bright-band signature, associated with mixed-phase hydrometeors, is usually not detectable. In addition, the different attenuation rates of the Ku- and Ka-bands allow differential attenuation techniques to be used to estimate the path integrated attenuation. The high-sensitivity Ka-band channel is expected to have 6 dB greater sensitivity than the Ku- and standard Ka-band channels and to provide enhanced detection capabilities at the light rainfall rates.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C2179081510-GES_DISC.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://cmr.earthdata.nasa.gov/virtual-directory/collections/C2179081510-GES_DISC/temporal","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://disc.gsfc.nasa.gov/datacollection/GPM_2ADPRENV_07.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://docserver.gesdisc.eosdis.nasa.gov/public/project/GPM/browse/GPM_2ADPRENV.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://gpm.nasa.gov","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://gpm1.gesdisc.eosdis.nasa.gov/data/GPM_L2/doc/README.GPM.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://gpmweb2https.pps.eosdis.nasa.gov/pub/GPMfilespec/filespec.GPM.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://gpmweb2https.pps.eosdis.nasa.gov/tsdis/AB/docs/gpm_anomalous.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://pps.gsfc.nasa.gov/Documents/ReleaseNote_DPRL2L3_productV07A_20211117.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://pps.gsfc.nasa.gov/gpminstruments.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C2179081510-GES_DISC","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"/SDE/CMR_API/|C2179081510-GES_DISC","keyword":["earth-science-atmospheric-water-vapor-atmosphere","earth-science-precipitation-atmosphere"],"license":"https://www.usa.gov/government-works","modified":"2026-08-25","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/GSFC/SED/ESD/TISL/GESDISC"},"spatial":"[\"GEODETIC\", [{\"WestBoundingCoordinate\": -180, \"NorthBoundingCoordinate\": 70, \"EastBoundingCoordinate\": 180, \"SouthBoundingCoordinate\": -70}]]","temporal":"2014-03-08/2026-03-01","theme":["Earth Science"],"title":"GPM DPR L2A Environment 1.5 hours 5 km V07 (GPM_2ADPRENV)"},"description":"Version 07 is the current version of the data set. Older versions will no longer be available and have been superseded by Version 07.\n.\n\nThis is environmental data that includes the profiles of atmospheric parameters assumed in the L2 retrieval algorithm.\n\nThis GPM data type provides single- and dual-frequency-derived precipitation estimates from the Ku and Ka radars of the Dual-Frequency Precipitation Radar (DPR) on the core GPM spacecraft. The output consists of three main classes of precipitation products derived from the: \n+ the Ku-band frequency over a wide swath (245 km);\n+ the Ka-band frequency over a narrow swath (125 km), and\n+ the dual-frequency data over the narrow swath. \n\nThe Ka-band results are further divided into the standard and high-sensitivity estimates. In the standard sensitivity mode, the fields of view within the inner swath are matched to those of the Ku-band. Data from these matched-beam Ku- and Ka-band fields of view are used to derive the dual-frequency precipitation products. The retrievals are performed at each radar range bin along the slant path of the radar instrument field of view (IFOV). \n\nThe dual-frequency retrieval benefits from having co-aligned measurements at Ku- and Ka-bands. Data from these measurements are used to infer properties of the particle size distribution, which are expected to lead to improved estimates of rainfall rate and equivalent liquid water content. Dual-frequency data are expected to improve the capability to discriminate among water, ice, and mixed-phase hydrometeors as a function of height. This capability is particularly important in convective storms where a bright-band signature, associated with mixed-phase hydrometeors, is usually not detectable. In addition, the different attenuation rates of the Ku- and Ka-bands allow differential attenuation techniques to be used to estimate the path integrated attenuation. The high-sensitivity Ka-band channel is expected to have 6 dB greater sensitivity than the Ku- and standard Ka-band channels and to provide enhanced detection capabilities at the light rainfall rates.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/0f8169c5-7a11-4c81-9e0e-8317b61be06f","harvest_record_raw":"https://catalog.data.gov/harvest_record/0f8169c5-7a11-4c81-9e0e-8317b61be06f/raw","has_download":true,"has_spatial":true,"identifier":"/SDE/CMR_API/|C2179081510-GES_DISC","keyword":["earth-science-atmospheric-water-vapor-atmosphere","earth-science-precipitation-atmosphere"],"last_harvested_date":"2026-09-02T00:42:55.345216","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"NASA/GSFC/SED/ESD/TISL/GESDISC","slug":"gpm-dpr-l2a-environment-1-5-hours-5-km-v07-gpm_2adprenv-at-ges-disc-a58c4","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"GPM DPR L2A Environment 1.5 hours 5 km V07 (GPM_2ADPRENV)","type":"dataset"},{"_score":15.259006,"_sort":[1788309740933,15.259006,1,"b0963e4c-4ccc-4d66-9eb9-a8b1f89e0747"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The GPM Ground Validation Weather Research and Forecasting (WRF) Images MC3E dataset consists of browse only images showing radar reflectivity, radar echo top, convective available potential energy (CAPE), temperature, geopotential height, wind speed, relative humidity, rain water, snow, cloud water, cloud ice, and graupel. These data were simulated by the Weather Research and Forecasting (WRF) for the period of the GPM Ground Validation Mid-\u00adlatitude Continental Convective Cloud Experiment (MC3E) field campaign. The overarching goal of the MC3E field campaign was to provide the most complete characterization of convective cloud systems, precipitation, and the environment ever obtained and to provide new constraints for model cumulus parameterizations and space-\u00adbased rainfall retrieval algorithms over land. Browse imagery files in PNG and GIF formats are available for April 19, 2011 through June 6, 2011.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C1979735447-GHRC_DAAC.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"http://dx.doi.org/10.5067/GPMGV/MC3E/DATA101","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.1016/j.jcp.2007.01.037","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.earthdata.nasa.gov/browseui/#pub/gpmwrfmc3e__1/docs/gpmwrfmc3e_dataset.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.nsstc.nasa.gov/home/about-ghrc/citing-ghrc-daac-data","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.nsstc.nasa.gov/home/field-campaigns/mc3e","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C1979735447-GHRC_DAAC","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/GPMGV/MC3E/WRF/DATA101","keyword":["earth-science-altitude-atmosphere-geopotential-height","earth-science-atmospheric-temperature-atmosphere-surface-temperature","earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators","earth-science-atmospheric-winds-atmosphere-surface-winds","earth-science-precipitation-atmosphere-liquid-precipitation","earth-science-precipitation-atmosphere-solid-precipitation"],"license":"https://www.usa.gov/government-works","modified":"2026-08-25","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/MSFC/GHRC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -115, \"NorthBoundingCoordinate\": 45, \"EastBoundingCoordinate\": -80, \"SouthBoundingCoordinate\": 25}]]","temporal":"2011-04-19/2011-06-06","theme":["Earth Science"],"title":"GPM Ground Validation Weather Research and Forecasting (WRF) Images MC3E V1"},"description":"The GPM Ground Validation Weather Research and Forecasting (WRF) Images MC3E dataset consists of browse only images showing radar reflectivity, radar echo top, convective available potential energy (CAPE), temperature, geopotential height, wind speed, relative humidity, rain water, snow, cloud water, cloud ice, and graupel. These data were simulated by the Weather Research and Forecasting (WRF) for the period of the GPM Ground Validation Mid-\u00adlatitude Continental Convective Cloud Experiment (MC3E) field campaign. The overarching goal of the MC3E field campaign was to provide the most complete characterization of convective cloud systems, precipitation, and the environment ever obtained and to provide new constraints for model cumulus parameterizations and space-\u00adbased rainfall retrieval algorithms over land. Browse imagery files in PNG and GIF formats are available for April 19, 2011 through June 6, 2011.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/d0cd354b-6c05-43ca-9782-19162f11bec1","harvest_record_raw":"https://catalog.data.gov/harvest_record/d0cd354b-6c05-43ca-9782-19162f11bec1/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/GPMGV/MC3E/WRF/DATA101","keyword":["earth-science-altitude-atmosphere-geopotential-height","earth-science-atmospheric-temperature-atmosphere-surface-temperature","earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators","earth-science-atmospheric-winds-atmosphere-surface-winds","earth-science-precipitation-atmosphere-liquid-precipitation","earth-science-precipitation-atmosphere-solid-precipitation"],"last_harvested_date":"2026-09-02T00:42:20.933299","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"NASA/MSFC/GHRC","slug":"gpm-ground-validation-weather-research-and-forecasting-wrf-images-mc3e-v1","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"GPM Ground Validation Weather Research and Forecasting (WRF) Images MC3E V1","type":"dataset"},{"_score":16.01716,"_sort":[1788309739562,16.01716,2,"f69f7150-f8ad-4280-b506-02358a4c19ea"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The GRIP DC-8 Navigation and Housekeeping Data contains aircraft navigational data obtained during the GRIP campaign (15 Aug 2010 - 30 Sep 2010). The major goal was to better understand how tropical storms form and develop into major hurricanes. The NASA DC-8 is outfitted with a navigational recording system which in combination with the Research Environment for Vehicle-Embedded Analysis on Linux (REVEAL) provides detailed flight parameters such as airspeed, altitude, roll/pitch/yaw angles, ground speed, flight level wind speed, temperature and many others. The REVEAL system is a configurable embedded system for facilitating integration of instrument payloads with vehicle systems and communication links. REVEAL systems currently serve as onboard data acquisition, processing, and recording systems.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C1979856855-GHRC_DAAC.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.earthdata.nasa.gov/browseui/#pub/gripnavdc8__1/docs/gripnavdc8_dataset.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.nsstc.nasa.gov/home/about-ghrc/citing-ghrc-daac-data","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.nsstc.nasa.gov/home/field-campaigns/GRIP","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C1979856855-GHRC_DAAC","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/GRIP/NAV/DATA101","keyword":["earth-science-atmospheric-temperature-atmosphere-upper-air-temperature","earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators","earth-science-atmospheric-winds-atmosphere-upper-level-winds","earth-science-platform-characteristics-spectral-engineering-flight-data-logs"],"license":"https://www.usa.gov/government-works","modified":"2026-08-25","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/MSFC/GHRC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -118.43, \"NorthBoundingCoordinate\": 34.7533, \"EastBoundingCoordinate\": -55.3183, \"SouthBoundingCoordinate\": 11.9998}]]","temporal":"2010-08-10/2010-09-22","theme":["Earth Science"],"title":"GRIP DC-8 NAVIGATION AND HOUSEKEEPING DATA V1"},"description":"The GRIP DC-8 Navigation and Housekeeping Data contains aircraft navigational data obtained during the GRIP campaign (15 Aug 2010 - 30 Sep 2010). The major goal was to better understand how tropical storms form and develop into major hurricanes. The NASA DC-8 is outfitted with a navigational recording system which in combination with the Research Environment for Vehicle-Embedded Analysis on Linux (REVEAL) provides detailed flight parameters such as airspeed, altitude, roll/pitch/yaw angles, ground speed, flight level wind speed, temperature and many others. The REVEAL system is a configurable embedded system for facilitating integration of instrument payloads with vehicle systems and communication links. REVEAL systems currently serve as onboard data acquisition, processing, and recording systems.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/0df240f3-ae0d-44f6-91c3-277ad01afe37","harvest_record_raw":"https://catalog.data.gov/harvest_record/0df240f3-ae0d-44f6-91c3-277ad01afe37/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/GRIP/NAV/DATA101","keyword":["earth-science-atmospheric-temperature-atmosphere-upper-air-temperature","earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators","earth-science-atmospheric-winds-atmosphere-upper-level-winds","earth-science-platform-characteristics-spectral-engineering-flight-data-logs"],"last_harvested_date":"2026-09-02T00:42:19.562253","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":2,"publisher":"NASA/MSFC/GHRC","slug":"grip-dc-8-navigation-and-housekeeping-data-v1","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"GRIP DC-8 NAVIGATION AND HOUSEKEEPING DATA V1","type":"dataset"},{"_score":11.350121,"_sort":[1788309588930,11.350121,2,"039ce005-2e97-4e51-adff-ca9a83b3dfc8"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The VNP14IMG_NRT is a Near Real Time (NRT) S-NPP/VIIRS 375 m active fire detection data product (Schroeder 2014). The product is built on the EOS/MODIS fire product heritage [Kaufman et al., 1998; Giglio et al., 2003], using a multi-spectral contextual algorithm to identify sub-pixel fire activity and other thermal anomalies in the Level 1 (swath) input data. The algorithm uses all five 375 m VIIRS channels to detect fires and separate land, water, and cloud pixels in the image. Additional 750 m channels complement the available VIIRS multispectral data. Those channels are used as input to the baseline active fire detection product, which provides continuity to the EOS/MODIS 1 km Fire and Thermal Anomalies product.\n\nThe VIIRS 375 m fire detection data is a Level 2 product based on the input Science Data Record (SDR) Level 1 swath format. The NRT product is currently available through NASA?s the Land, Atmosphere Near real-time Capability for EOS (LANCE). The data are formatted as HDF4 files. Complementary ASCII files containing the short list of fire pixels detected are also available through LANCE processing systems.\n\nFor more information read VIIRS 375 m Active Fire Algorithm User Guide at https://earthdata.nasa.gov/files/VIIRS_375m_Users_guide_Dec15_v2.pdf \n\nand\n\nSchroeder, W., Oliva, P., Giglio, L., & Csiszar, I. A. (2014). The New VIIRS 375m active fire detection data product: algorithm description and initial assessment. Remote Sensing of Environment, 143, 85-96. doi:10.1016/j.rse.2013.12.008 PDF from UMD\n\nor\n\nvisit University of Maryland VIIRS Active Fire Web page at http://viirsfire.geog.umd.edu/","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C1344295580-LANCEMODIS.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://earthdata.nasa.gov/earth-observation-data/near-real-time/download-nrt-data/viirs-nrt","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://nrt3.modaps.eosdis.nasa.gov/archive/allData/5000/VNP14IMG_NRT","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"http://dx.doi.org/10.5067/VIIRS/VNP14IMG_NRT.001","keyword":["earth-science-ecological-dynamics-biosphere-fire-ecology","earth-science-surface-radiative-properties-land-surface","earth-science-surface-thermal-properties-land-surface-land-surface-temperature"],"landingPage":"http://dx.doi.org/10.5067/VIIRS/VNP14IMG_NRT.001","license":"https://www.usa.gov/government-works","modified":"2026-09-01","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/GSFC/EOS/ESDIS/LANCEMODIS"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -180.0, \"NorthBoundingCoordinate\": 80.0, \"EastBoundingCoordinate\": 180.0, \"SouthBoundingCoordinate\": -80.0}]]","theme":["Earth Science"],"title":"VIIRS/NPP Active Fires 6-Min L2 Swath 375m NRT"},"description":"The VNP14IMG_NRT is a Near Real Time (NRT) S-NPP/VIIRS 375 m active fire detection data product (Schroeder 2014). The product is built on the EOS/MODIS fire product heritage [Kaufman et al., 1998; Giglio et al., 2003], using a multi-spectral contextual algorithm to identify sub-pixel fire activity and other thermal anomalies in the Level 1 (swath) input data. The algorithm uses all five 375 m VIIRS channels to detect fires and separate land, water, and cloud pixels in the image. Additional 750 m channels complement the available VIIRS multispectral data. Those channels are used as input to the baseline active fire detection product, which provides continuity to the EOS/MODIS 1 km Fire and Thermal Anomalies product.\n\nThe VIIRS 375 m fire detection data is a Level 2 product based on the input Science Data Record (SDR) Level 1 swath format. The NRT product is currently available through NASA?s the Land, Atmosphere Near real-time Capability for EOS (LANCE). The data are formatted as HDF4 files. Complementary ASCII files containing the short list of fire pixels detected are also available through LANCE processing systems.\n\nFor more information read VIIRS 375 m Active Fire Algorithm User Guide at https://earthdata.nasa.gov/files/VIIRS_375m_Users_guide_Dec15_v2.pdf \n\nand\n\nSchroeder, W., Oliva, P., Giglio, L., & Csiszar, I. A. (2014). The New VIIRS 375m active fire detection data product: algorithm description and initial assessment. Remote Sensing of Environment, 143, 85-96. doi:10.1016/j.rse.2013.12.008 PDF from UMD\n\nor\n\nvisit University of Maryland VIIRS Active Fire Web page at http://viirsfire.geog.umd.edu/","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/269b0935-3325-45c9-897a-268d866d3e76","harvest_record_raw":"https://catalog.data.gov/harvest_record/269b0935-3325-45c9-897a-268d866d3e76/raw","has_download":true,"has_spatial":true,"identifier":"http://dx.doi.org/10.5067/VIIRS/VNP14IMG_NRT.001","keyword":["earth-science-ecological-dynamics-biosphere-fire-ecology","earth-science-surface-radiative-properties-land-surface","earth-science-surface-thermal-properties-land-surface-land-surface-temperature"],"last_harvested_date":"2026-09-02T00:39:48.930873","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":2,"publisher":"NASA/GSFC/EOS/ESDIS/LANCEMODIS","slug":"viirs-npp-active-fires-6-min-l2-swath-375m-nrt","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"VIIRS/NPP Active Fires 6-Min L2 Swath 375m NRT","type":"dataset"},{"_score":18.481815,"_sort":[1788309530438,18.481815,1,"eb2e09ab-6127-4612-977a-2d342a39c3e7"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The BOREAS AFM-06 team from the National Oceanic and Atmospheric Administration Environment Technology Laboratory (NOAA/ETL) operated a 915 MHz wind/Radio Acoustic Sounding System (RASS) profiler system in the Southern Study Area (SSA) near the Old Jack Pine (OJP) site. This data set provides boundary layer height information over the site. The data were collected from 21-May-1994 to 20-Sep-1994.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C2807618371-ORNL_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://daac.ornl.gov/graphics/browse/project/square/boreas_logo_square.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/protected/bundle/afm06ihd_240.zip","format":"ZIP","mediaType":"application/zip"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/boreas/AFM/afm06ihd/comp/AFM06_ABLHt.doc","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/boreas/AFM/afm06ihd/comp/AFM06_ABLHt.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/boreas/AFM/afm06ihd/comp/AFM06_ABLHt.txt","format":"TXT","mediaType":"text/plain"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/boreas/AFM/afm06ihd/comp/afm06ihd.def","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.3334/ORNLDAAC/240","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C2807618371-ORNL_CLOUD","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.3334/ORNLDAAC/240","keyword":["earth-science-altitude-atmosphere-planetary-boundary-layer-height"],"license":"https://www.usa.gov/government-works","modified":"2026-09-01","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"ORNL_DAAC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -110.05, \"NorthBoundingCoordinate\": 59.34, \"EastBoundingCoordinate\": -94.08, \"SouthBoundingCoordinate\": 50.57}]]","temporal":"1994-05-21/1994-09-20","theme":["Earth Science"],"title":"BOREAS AFM-06 Boundary Layer Height Data"},"description":"The BOREAS AFM-06 team from the National Oceanic and Atmospheric Administration Environment Technology Laboratory (NOAA/ETL) operated a 915 MHz wind/Radio Acoustic Sounding System (RASS) profiler system in the Southern Study Area (SSA) near the Old Jack Pine (OJP) site. This data set provides boundary layer height information over the site. The data were collected from 21-May-1994 to 20-Sep-1994.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/2e839abb-bf5d-4cc7-921f-84e2769d9660","harvest_record_raw":"https://catalog.data.gov/harvest_record/2e839abb-bf5d-4cc7-921f-84e2769d9660/raw","has_download":true,"has_spatial":true,"identifier":"10.3334/ORNLDAAC/240","keyword":["earth-science-altitude-atmosphere-planetary-boundary-layer-height"],"last_harvested_date":"2026-09-02T00:38:50.438275","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"ORNL_DAAC","slug":"boreas-afm-06-boundary-layer-height-data","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"BOREAS AFM-06 Boundary Layer Height Data","type":"dataset"},{"_score":20.676702,"_sort":[1788309529773,20.676702,1,"f79cdf32-abcd-42ad-a7be-da4b84f43569"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The BOREAS AFM-06 team from the National Oceanic and Atmospheric Administration Environment Technology Laboratory (NOAA/ETL) collected surface meteorological data from 21-May to 20-Sep-1994 near the SSA-OJP tower site.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C2807620577-ORNL_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://daac.ornl.gov/graphics/browse/project/square/boreas_logo_square.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/protected/bundle/afm06smd_243.zip","format":"ZIP","mediaType":"application/zip"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/boreas/AFM/afm06smd/comp/AFM06_SurfMet.doc","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/boreas/AFM/afm06smd/comp/AFM06_SurfMet.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/boreas/AFM/afm06smd/comp/AFM06_SurfMet.txt","format":"TXT","mediaType":"text/plain"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/boreas/AFM/afm06smd/comp/afm06smd.def","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.3334/ORNLDAAC/243","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C2807620577-ORNL_CLOUD","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.3334/ORNLDAAC/243","keyword":["earth-science-atmospheric-temperature-atmosphere-surface-temperature","earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators","earth-science-atmospheric-winds-atmosphere-surface-winds","earth-science-precipitation-atmosphere-precipitation-amount"],"license":"https://www.usa.gov/government-works","modified":"2026-09-01","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"ORNL_DAAC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -104.4, \"NorthBoundingCoordinate\": 53.91, \"EastBoundingCoordinate\": -104.4, \"SouthBoundingCoordinate\": 53.91}]]","temporal":"1994-05-21/1994-09-20","theme":["Earth Science"],"title":"BOREAS AFM-06 Surface Meteorological Data"},"description":"The BOREAS AFM-06 team from the National Oceanic and Atmospheric Administration Environment Technology Laboratory (NOAA/ETL) collected surface meteorological data from 21-May to 20-Sep-1994 near the SSA-OJP tower site.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/dc92e26f-11ce-415c-9a47-e85cfb1637b7","harvest_record_raw":"https://catalog.data.gov/harvest_record/dc92e26f-11ce-415c-9a47-e85cfb1637b7/raw","has_download":true,"has_spatial":true,"identifier":"10.3334/ORNLDAAC/243","keyword":["earth-science-atmospheric-temperature-atmosphere-surface-temperature","earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators","earth-science-atmospheric-winds-atmosphere-surface-winds","earth-science-precipitation-atmosphere-precipitation-amount"],"last_harvested_date":"2026-09-02T00:38:49.773101","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"ORNL_DAAC","slug":"boreas-afm-06-surface-meteorological-data","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"BOREAS AFM-06 Surface Meteorological Data","type":"dataset"},{"_score":15.109537,"_sort":[1788309508219,15.109537,1,"41933fb0-6843-4dac-adfc-2c778bd61b26"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The BOREAS TE-01 team collected various data to characterize the soil-plant systems in the BOREAS SSA. Particular emphasis was placed on nutrient biochemistry, the stores and transfers of organic carbon and how the characteristics were related to measured methane fluxes. The overall transect in the Prince Albert National Park (Saskatchewan, Canada) included the major plant communities and related soils that occurred in that section of the boreal forest. Soil physical, chemical and biological measurements along the transect were used to characterize the static environment, which allowed them to be related to methane fluxes. Chamber techniques were used to provide a measure of methane production/uptake. Chamber measurements coupled with flask sampling were used to determine the seasonality of methane fluxes. This particular data set contains methane flux and soil profile methane concentration values from the SSA-OA site. The data were collected from 29-MAY to 17-SEP-1994.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C2807648526-ORNL_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://daac.ornl.gov/graphics/browse/project/square/boreas_logo_square.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/protected/bundle/te1ch4fx_310.zip","format":"ZIP","mediaType":"application/zip"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/boreas/TE/te1ch4fx/comp/TE01_CH4_FLUX.doc","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/boreas/TE/te1ch4fx/comp/TE01_CH4_FLUX.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/boreas/TE/te1ch4fx/comp/TE01_CH4_FLUX.txt","format":"TXT","mediaType":"text/plain"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/boreas/TE/te1ch4fx/comp/te1ch4fx.def","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.3334/ORNLDAAC/310","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C2807648526-ORNL_CLOUD","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.3334/ORNLDAAC/310","keyword":["earth-science-soils-land-surface-carbon","earth-science-soils-land-surface-soil-gas-air"],"license":"https://www.usa.gov/government-works","modified":"2026-09-01","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"ORNL_DAAC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -106.2, \"NorthBoundingCoordinate\": 53.63, \"EastBoundingCoordinate\": -106.2, \"SouthBoundingCoordinate\": 53.63}]]","temporal":"1994-05-29/1994-09-17","theme":["Earth Science"],"title":"BOREAS TE-01 CH4 Flux Data over the SSA-OA"},"description":"The BOREAS TE-01 team collected various data to characterize the soil-plant systems in the BOREAS SSA. Particular emphasis was placed on nutrient biochemistry, the stores and transfers of organic carbon and how the characteristics were related to measured methane fluxes. The overall transect in the Prince Albert National Park (Saskatchewan, Canada) included the major plant communities and related soils that occurred in that section of the boreal forest. Soil physical, chemical and biological measurements along the transect were used to characterize the static environment, which allowed them to be related to methane fluxes. Chamber techniques were used to provide a measure of methane production/uptake. Chamber measurements coupled with flask sampling were used to determine the seasonality of methane fluxes. This particular data set contains methane flux and soil profile methane concentration values from the SSA-OA site. The data were collected from 29-MAY to 17-SEP-1994.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/d9aa1c82-3efe-448b-89ef-eec56ca298de","harvest_record_raw":"https://catalog.data.gov/harvest_record/d9aa1c82-3efe-448b-89ef-eec56ca298de/raw","has_download":true,"has_spatial":true,"identifier":"10.3334/ORNLDAAC/310","keyword":["earth-science-soils-land-surface-carbon","earth-science-soils-land-surface-soil-gas-air"],"last_harvested_date":"2026-09-02T00:38:28.219091","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"ORNL_DAAC","slug":"boreas-te-01-ch4-flux-data-over-the-ssa-oa","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"BOREAS TE-01 CH4 Flux Data over the SSA-OA","type":"dataset"},{"_score":15.209072,"_sort":[1788309507556,15.209072,1,"fe4c860e-11a6-42d1-942a-152d52928b92"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The BOREAS TE-01 team collected various data to characterize the soil-plant systems in the BOREAS SSA. Particular emphasis was placed on nutrient biochemistry, the stores and transfers of organic carbon and how the characteristics were related to measured methane fluxes. The overall transect in the Prince Albert National Park (Saskatchewan, Canada) included the major plant communities and related soils that occurred in that section of the boreal forest. Soil physical, chemical and biological measurements along the transect were used to characterize the static environment, which allowed them to be related to methane fluxes. Chamber techniques were used to provide a measure of methane production/uptake. Chamber measurements coupled with flask sampling were used to determine the seasonality of methane fluxes. This particular data set contains carbon dioxide and methane flux values from the SSA-OBS site. The data were collected from 09-JUN to 04-SEP-1994.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C2807648575-ORNL_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://daac.ornl.gov/graphics/browse/project/square/boreas_logo_square.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/protected/bundle/te1fxobs_311.zip","format":"ZIP","mediaType":"application/zip"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/boreas/TE/te1fxobs/comp/TE01_CO2_CH4_FLUX.doc","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/boreas/TE/te1fxobs/comp/TE01_CO2_CH4_FLUX.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/boreas/TE/te1fxobs/comp/TE01_CO2_CH4_FLUX.txt","format":"TXT","mediaType":"text/plain"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/boreas/TE/te1fxobs/comp/te1fxobs.def","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.3334/ORNLDAAC/311","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C2807648575-ORNL_CLOUD","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.3334/ORNLDAAC/311","keyword":["earth-science-ecosystems-biosphere-terrestrial-ecosystems","earth-science-soils-land-surface-carbon","earth-science-soils-land-surface-soil-gas-air"],"license":"https://www.usa.gov/government-works","modified":"2026-09-01","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"ORNL_DAAC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -105.12, \"NorthBoundingCoordinate\": 53.99, \"EastBoundingCoordinate\": -105.12, \"SouthBoundingCoordinate\": 53.99}]]","temporal":"1994-06-09/1994-09-04","theme":["Earth Science"],"title":"BOREAS TE-01 CO2 and CH4 Flux Data over the SSA-OBS Site"},"description":"The BOREAS TE-01 team collected various data to characterize the soil-plant systems in the BOREAS SSA. Particular emphasis was placed on nutrient biochemistry, the stores and transfers of organic carbon and how the characteristics were related to measured methane fluxes. The overall transect in the Prince Albert National Park (Saskatchewan, Canada) included the major plant communities and related soils that occurred in that section of the boreal forest. Soil physical, chemical and biological measurements along the transect were used to characterize the static environment, which allowed them to be related to methane fluxes. Chamber techniques were used to provide a measure of methane production/uptake. Chamber measurements coupled with flask sampling were used to determine the seasonality of methane fluxes. This particular data set contains carbon dioxide and methane flux values from the SSA-OBS site. The data were collected from 09-JUN to 04-SEP-1994.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/b42213d6-8053-4a5d-8e7d-af70356091e6","harvest_record_raw":"https://catalog.data.gov/harvest_record/b42213d6-8053-4a5d-8e7d-af70356091e6/raw","has_download":true,"has_spatial":true,"identifier":"10.3334/ORNLDAAC/311","keyword":["earth-science-ecosystems-biosphere-terrestrial-ecosystems","earth-science-soils-land-surface-carbon","earth-science-soils-land-surface-soil-gas-air"],"last_harvested_date":"2026-09-02T00:38:27.556970","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"ORNL_DAAC","slug":"boreas-te-01-co2-and-ch4-flux-data-over-the-ssa-obs-site","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"BOREAS TE-01 CO2 and CH4 Flux Data over the SSA-OBS Site","type":"dataset"},{"_score":15.161751,"_sort":[1788309507228,15.161751,2,"dd9ae7e8-11ed-4f73-86a2-2fd6d6cb1146"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The BOREAS TE-01 team collected various data to characterize the soil-plant systems in the BOREAS SSA. Particular emphasis was placed on nutrient biochemistry, the stores and transfers of organic carbon and how the characteristics were related to measured methane fluxes. The overall transect in the Prince Albert National Park (Saskatchewan, Canada) included the major plant communities and related soils that occurred in that section of the boreal forest. Soil physical, chemical and biological measurements along the transect were used to characterize the static environment, which allowed them to be related to methane fluxes. Chamber techniques were used to provide a measure of methane production/uptake. Chamber measurements coupled with flask sampling were used to determine the seasonality of methane fluxes. This particular data set contains soil profile measurements of various nutrients at the SSA-Fen site. The data were collected from 23-MAY to 21-OCT-1994.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C2807650141-ORNL_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://daac.ornl.gov/graphics/browse/project/square/boreas_logo_square.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/protected/bundle/te1fennt_313.zip","format":"ZIP","mediaType":"application/zip"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/boreas/TE/te1fennt/comp/TE01_Fen_Nutrients.doc","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/boreas/TE/te1fennt/comp/TE01_Fen_Nutrients.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/boreas/TE/te1fennt/comp/TE01_Fen_Nutrients.txt","format":"TXT","mediaType":"text/plain"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/boreas/TE/te1fennt/comp/te1fennt.def","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.3334/ORNLDAAC/313","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C2807650141-ORNL_CLOUD","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.3334/ORNLDAAC/313","keyword":["earth-science-ecosystems-biosphere-terrestrial-ecosystems","earth-science-soils-land-surface-carbon","earth-science-soils-land-surface-soil-chemistry"],"license":"https://www.usa.gov/government-works","modified":"2026-09-01","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"ORNL_DAAC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -104.62, \"NorthBoundingCoordinate\": 53.8, \"EastBoundingCoordinate\": -104.62, \"SouthBoundingCoordinate\": 53.8}]]","temporal":"1994-05-23/1994-10-21","theme":["Earth Science"],"title":"BOREAS TE-01 SSA-FEN Soil Profile Nutrient Data"},"description":"The BOREAS TE-01 team collected various data to characterize the soil-plant systems in the BOREAS SSA. Particular emphasis was placed on nutrient biochemistry, the stores and transfers of organic carbon and how the characteristics were related to measured methane fluxes. The overall transect in the Prince Albert National Park (Saskatchewan, Canada) included the major plant communities and related soils that occurred in that section of the boreal forest. Soil physical, chemical and biological measurements along the transect were used to characterize the static environment, which allowed them to be related to methane fluxes. Chamber techniques were used to provide a measure of methane production/uptake. Chamber measurements coupled with flask sampling were used to determine the seasonality of methane fluxes. This particular data set contains soil profile measurements of various nutrients at the SSA-Fen site. The data were collected from 23-MAY to 21-OCT-1994.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/d6e1ad61-e517-4e9f-8cef-7266689cad7d","harvest_record_raw":"https://catalog.data.gov/harvest_record/d6e1ad61-e517-4e9f-8cef-7266689cad7d/raw","has_download":true,"has_spatial":true,"identifier":"10.3334/ORNLDAAC/313","keyword":["earth-science-ecosystems-biosphere-terrestrial-ecosystems","earth-science-soils-land-surface-carbon","earth-science-soils-land-surface-soil-chemistry"],"last_harvested_date":"2026-09-02T00:38:27.228873","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":2,"publisher":"ORNL_DAAC","slug":"boreas-te-01-ssa-fen-soil-profile-nutrient-data","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"BOREAS TE-01 SSA-FEN Soil Profile Nutrient Data","type":"dataset"},{"_score":18.324095,"_sort":[1788309503686,18.324095,1,"27479966-9d40-45a6-9f82-851c41e5d853"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The BOREAS TE-06 team collected several data sets to examine the influence of vegetation, climate, and their interactions on the major carbon fluxes for boreal forest species. This data set contains summaries of predawn leaf water potentials and foliage moisture contents collected at the TF and CEV sites that had canopy access towers. The data was collected on a nearly weekly basis from early June to late August 1994 by TE-06, members of the BOREAS staff, and employees of Environment Canada.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C2808128749-ORNL_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://daac.ornl.gov/graphics/browse/project/square/boreas_logo_square.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/protected/bundle/te6h2opd_332.zip","format":"ZIP","mediaType":"application/zip"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/boreas/TE/te6h2opd/comp/TE06_Leaf_Water_Pot.doc","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/boreas/TE/te6h2opd/comp/TE06_Leaf_Water_Pot.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/boreas/TE/te6h2opd/comp/TE06_Leaf_Water_Pot.txt","format":"TXT","mediaType":"text/plain"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/boreas/TE/te6h2opd/comp/te13_boreas_canopy.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/boreas/TE/te6h2opd/comp/te13_boreas_site_loc.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/boreas/TE/te6h2opd/comp/te6h2opd.def","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.3334/ORNLDAAC/332","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C2808128749-ORNL_CLOUD","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.3334/ORNLDAAC/332","keyword":["earth-science-ecosystems-biosphere-terrestrial-ecosystems","earth-science-vegetation-biosphere-leaf-characteristics","earth-science-vegetation-biosphere-plant-characteristics","earth-science-vegetation-biosphere-vegetation-species"],"license":"https://www.usa.gov/government-works","modified":"2026-09-01","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"ORNL_DAAC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -106.2, \"NorthBoundingCoordinate\": 55.93, \"EastBoundingCoordinate\": -98.29, \"SouthBoundingCoordinate\": 53.63}]]","temporal":"1994-06-19/1994-08-16","theme":["Earth Science"],"title":"BOREAS TE-06 Predawn Leaf Water Potentials and Foliage Moisture Content Data"},"description":"The BOREAS TE-06 team collected several data sets to examine the influence of vegetation, climate, and their interactions on the major carbon fluxes for boreal forest species. This data set contains summaries of predawn leaf water potentials and foliage moisture contents collected at the TF and CEV sites that had canopy access towers. The data was collected on a nearly weekly basis from early June to late August 1994 by TE-06, members of the BOREAS staff, and employees of Environment Canada.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/1ce3b99b-720f-45d7-8d73-4d1baf89c65b","harvest_record_raw":"https://catalog.data.gov/harvest_record/1ce3b99b-720f-45d7-8d73-4d1baf89c65b/raw","has_download":true,"has_spatial":true,"identifier":"10.3334/ORNLDAAC/332","keyword":["earth-science-ecosystems-biosphere-terrestrial-ecosystems","earth-science-vegetation-biosphere-leaf-characteristics","earth-science-vegetation-biosphere-plant-characteristics","earth-science-vegetation-biosphere-vegetation-species"],"last_harvested_date":"2026-09-02T00:38:23.686481","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"ORNL_DAAC","slug":"boreas-te-06-predawn-leaf-water-potentials-and-foliage-moisture-content-data","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"BOREAS TE-06 Predawn Leaf Water Potentials and Foliage Moisture Content Data","type":"dataset"},{"_score":13.299728,"_sort":[1788309492299,13.299728,1,"c7ba21cb-16fa-4e3d-8621-0e7df0d27e03"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"This dataset provides two sets of gridded estimates of estimated soil organic carbon (SOC) and associated uncertainties for 0-30 cm topsoil layer in kg SOC/m2 at 250-m resolution across Mexico and the conterminous USA (CONUS). The first set of gridded SOC estimates, for the period 1991-2010, were derived using multi-source SOC field data and multiple environmental variables representative of the soil forming environment coupled with a machine learning approach (i.e., simulated annealing) and regression tree ensemble modeling for optimized SOC prediction. Predictions of gridded SOC and uncertainty based on multiple bulk density (BD) pedotransfer functions (PFTs) are also included. The second set of gridded SOC estimates, for the period 2009-2011, were derived from two fully independent validation field datasets from across both countries. Note that the same environmental variables and modeling approach used for the first set of estimates were applied to the second set to assess the models' sensitivity to multiple SOC data sources. The SOC field data for the first set of estimates are provided in this dataset and the other data sources, including the two independent validation field datasets, are referenced.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C2389105307-ORNL_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://daac.ornl.gov/CMS/guides/CMS_SOC_Mexico_CONUS_Fig1.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/protected/bundle/CMS_SOC_Mexico_CONUS_1737.zip","format":"ZIP","mediaType":"application/zip"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/cms/CMS_SOC_Mexico_CONUS/comp/CMS_SOC_Mexico_CONUS.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.3334/ORNLDAAC/1737","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C2389105307-ORNL_CLOUD","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.3334/ORNLDAAC/1737","keyword":["earth-science-soils-land-surface-carbon","earth-science-soils-land-surface-organic-matter","earth-science-soils-land-surface-soil-bulk-density"],"license":"https://www.usa.gov/government-works","modified":"2026-09-01","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"ORNL_DAAC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -129.789, \"NorthBoundingCoordinate\": 49.6107, \"EastBoundingCoordinate\": -65.5794, \"SouthBoundingCoordinate\": 11.3234}]]","temporal":"1991-01-01/2011-12-31","theme":["Earth Science"],"title":"Soil Organic Carbon Estimates for 30-cm Depth, Mexico and Conterminous USA, 1991-2011"},"description":"This dataset provides two sets of gridded estimates of estimated soil organic carbon (SOC) and associated uncertainties for 0-30 cm topsoil layer in kg SOC/m2 at 250-m resolution across Mexico and the conterminous USA (CONUS). The first set of gridded SOC estimates, for the period 1991-2010, were derived using multi-source SOC field data and multiple environmental variables representative of the soil forming environment coupled with a machine learning approach (i.e., simulated annealing) and regression tree ensemble modeling for optimized SOC prediction. Predictions of gridded SOC and uncertainty based on multiple bulk density (BD) pedotransfer functions (PFTs) are also included. The second set of gridded SOC estimates, for the period 2009-2011, were derived from two fully independent validation field datasets from across both countries. Note that the same environmental variables and modeling approach used for the first set of estimates were applied to the second set to assess the models' sensitivity to multiple SOC data sources. The SOC field data for the first set of estimates are provided in this dataset and the other data sources, including the two independent validation field datasets, are referenced.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/f455dbe4-6762-4243-a6ee-5ce935d6ef6e","harvest_record_raw":"https://catalog.data.gov/harvest_record/f455dbe4-6762-4243-a6ee-5ce935d6ef6e/raw","has_download":true,"has_spatial":true,"identifier":"10.3334/ORNLDAAC/1737","keyword":["earth-science-soils-land-surface-carbon","earth-science-soils-land-surface-organic-matter","earth-science-soils-land-surface-soil-bulk-density"],"last_harvested_date":"2026-09-02T00:38:12.299084","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"ORNL_DAAC","slug":"soil-organic-carbon-estimates-for-30-cm-depth-mexico-and-conterminous-usa-1991-2011","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"Soil Organic Carbon Estimates for 30-cm Depth, Mexico and Conterminous USA, 1991-2011","type":"dataset"},{"_score":14.393461,"_sort":[1788309488986,14.393461,1,"afe2051b-f392-497c-8c11-449b5cc43dc0"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"Surface parameter digital maps of vegetation, soil, and topography were obtained for Rondonia, Brazil, covering the 5x5 degree region bounded by 13-8 degrees S and 65-60 degrees W. Numerical maps of the natural landscape structure were prepared by digitizing existing 1:1,000,000 maps. Satellite data give information about the most recent modifications of the surface due to human activities. This mapping work was the first step of a mesoscale meteorological modeling program (Calvet et al., 1997) in forested and deforested Southwestern Amazonia (Rondonia, Brazil). This work was performed in the framework of a research program (CABARE) supported by the European Union, CEC Environment Program.\r\n\r\nData are provided in ArcGIS ArcInfo grid ascii format for the following surface parameters:\r\n\r\nElevation of terrain of the Rondonia region (altitude.txt)\r\n\r\nLANDSAT-derived vegetation classification of the Rondonia region in 1993-1994 (classify.txt)\r\n\r\nSoil classification of the Rondonia region (soil.txt)\r\n\r\nSand and Clay of the Rondonia region (sand.txt and clay.txt)\r\n\r\nVegetation classification of the Rondonia region from RADAMBRASIL (Macedo et al., 1979) (vegetation.txt)","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C2777741206-ORNL_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://daac.ornl.gov/graphics/browse/sdat-tds/918_1_fit.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/protected/bundle/CABARE_918.zip","format":"ZIP","mediaType":"application/zip"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/lba/land_use_land_cover_change/CABARE/comp/Pre_LBA_CABARE.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/lba/land_use_land_cover_change/CABARE/comp/altitude.gif","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/lba/land_use_land_cover_change/CABARE/comp/altveg_land.gif","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/lba/land_use_land_cover_change/CABARE/comp/classify.gif","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/lba/land_use_land_cover_change/CABARE/comp/clay.gif","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/lba/land_use_land_cover_change/CABARE/comp/sand.gif","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/lba/land_use_land_cover_change/CABARE/comp/silt.gif","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/lba/land_use_land_cover_change/CABARE/comp/soil.gif","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/lba/land_use_land_cover_change/CABARE/comp/vegetation.gif","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.3334/ORNLDAAC/918","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C2777741206-ORNL_CLOUD","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.3334/ORNLDAAC/918","keyword":["earth-science-geomorphic-landforms-processes-land-surface","earth-science-land-use-land-cover-land-surface-land-use-land-cover-classification","earth-science-soils-land-surface-soil-classification","earth-science-topography-land-surface-terrain-elevation","earth-science-vegetation-biosphere-vegetation-cover"],"license":"https://www.usa.gov/government-works","modified":"2026-09-01","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"ORNL_DAAC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -65.0, \"NorthBoundingCoordinate\": -8.0, \"EastBoundingCoordinate\": -60.0, \"SouthBoundingCoordinate\": -13.0}]]","temporal":"1978-01-01/1994-12-31","theme":["Earth Science"],"title":"Pre-LBA CABARE Mapped Land Surface and Vegetation Characteristics, Rondonia, Brazil"},"description":"Surface parameter digital maps of vegetation, soil, and topography were obtained for Rondonia, Brazil, covering the 5x5 degree region bounded by 13-8 degrees S and 65-60 degrees W. Numerical maps of the natural landscape structure were prepared by digitizing existing 1:1,000,000 maps. Satellite data give information about the most recent modifications of the surface due to human activities. This mapping work was the first step of a mesoscale meteorological modeling program (Calvet et al., 1997) in forested and deforested Southwestern Amazonia (Rondonia, Brazil). This work was performed in the framework of a research program (CABARE) supported by the European Union, CEC Environment Program.\r\n\r\nData are provided in ArcGIS ArcInfo grid ascii format for the following surface parameters:\r\n\r\nElevation of terrain of the Rondonia region (altitude.txt)\r\n\r\nLANDSAT-derived vegetation classification of the Rondonia region in 1993-1994 (classify.txt)\r\n\r\nSoil classification of the Rondonia region (soil.txt)\r\n\r\nSand and Clay of the Rondonia region (sand.txt and clay.txt)\r\n\r\nVegetation classification of the Rondonia region from RADAMBRASIL (Macedo et al., 1979) (vegetation.txt)","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/09860459-5594-47cb-90f3-f06e8d7203e4","harvest_record_raw":"https://catalog.data.gov/harvest_record/09860459-5594-47cb-90f3-f06e8d7203e4/raw","has_download":true,"has_spatial":true,"identifier":"10.3334/ORNLDAAC/918","keyword":["earth-science-geomorphic-landforms-processes-land-surface","earth-science-land-use-land-cover-land-surface-land-use-land-cover-classification","earth-science-soils-land-surface-soil-classification","earth-science-topography-land-surface-terrain-elevation","earth-science-vegetation-biosphere-vegetation-cover"],"last_harvested_date":"2026-09-02T00:38:08.986076","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"ORNL_DAAC","slug":"pre-lba-cabare-mapped-land-surface-and-vegetation-characteristics-rondonia-brazil","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"Pre-LBA CABARE Mapped Land Surface and Vegetation Characteristics, Rondonia, Brazil","type":"dataset"},{"_score":14.019793,"_sort":[1788309484158,14.019793,1,"b59c1fca-3222-43ea-a94f-8023b035a9a9"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"Knowledge of the optical properties of the components of the forest canopy is important to the understanding of how plants interact with their environment and how this information may be used to determine vegetation characteristics using remote sensing. During the summers of 1983 and 1984, samples of the major components of the boreal forest canopy (needles, leaves, branches, moss, litter) were collected in the Superior National Forest (SNF) of Minnesota and sent to the Johnson Space Center (JSC). At JSC, the spectral reflectance and transmittance characteristics of the samples were determined for wavelengths between .35 and 2.1 micrometers using the Cary-14 radiometer. This report presents plots of these data as well as averages to the Thematic Mapper Simulator (TMS) bands. There were two main thrusts to the SNF optical properties study. The first was to collect the optical properties of many of the components of the boreal forest canopy. The second goal of the study was to investigate the variability of optical properties within a species. The results of these studies allow a comparison of the optical properties of a variety of different species and a measure of the variability within species. These data provide basic information necessary to model canopy reflectance patterns.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C2884983206-ORNL_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://daac.ornl.gov/graphics/browse/project/square/snf_logo_square.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/protected/bundle/SNF_LEAFCARY_183.zip","format":"ZIP","mediaType":"application/zip"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/snf/SNF_LEAFCARY/comp/leaf_c14.def","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/snf/SNF_LEAFCARY/comp/leaf_c14.txt","format":"TXT","mediaType":"text/plain"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/snf/SNF_LEAFCARY/comp/leaf_optical_properties_cary14.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/snf/SNF_LEAFCARY/comp/leaf_optical_properties_cary14.txt","format":"TXT","mediaType":"text/plain"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.3334/ORNLDAAC/183","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C2884983206-ORNL_CLOUD","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.3334/ORNLDAAC/183","keyword":["earth-science-vegetation-biosphere-canopy-characteristics"],"license":"https://www.usa.gov/government-works","modified":"2026-09-01","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"ORNL_DAAC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -92.5058, \"NorthBoundingCoordinate\": 48.1697, \"EastBoundingCoordinate\": -91.7658, \"SouthBoundingCoordinate\": 47.6575}]]","temporal":"1984-05-10/1984-06-12","theme":["Earth Science"],"title":"SNF Leaf Optical Properties: Cary-14"},"description":"Knowledge of the optical properties of the components of the forest canopy is important to the understanding of how plants interact with their environment and how this information may be used to determine vegetation characteristics using remote sensing. During the summers of 1983 and 1984, samples of the major components of the boreal forest canopy (needles, leaves, branches, moss, litter) were collected in the Superior National Forest (SNF) of Minnesota and sent to the Johnson Space Center (JSC). At JSC, the spectral reflectance and transmittance characteristics of the samples were determined for wavelengths between .35 and 2.1 micrometers using the Cary-14 radiometer. This report presents plots of these data as well as averages to the Thematic Mapper Simulator (TMS) bands. There were two main thrusts to the SNF optical properties study. The first was to collect the optical properties of many of the components of the boreal forest canopy. The second goal of the study was to investigate the variability of optical properties within a species. The results of these studies allow a comparison of the optical properties of a variety of different species and a measure of the variability within species. These data provide basic information necessary to model canopy reflectance patterns.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/479475a2-aa74-4ade-9a89-4c62c6757e13","harvest_record_raw":"https://catalog.data.gov/harvest_record/479475a2-aa74-4ade-9a89-4c62c6757e13/raw","has_download":true,"has_spatial":true,"identifier":"10.3334/ORNLDAAC/183","keyword":["earth-science-vegetation-biosphere-canopy-characteristics"],"last_harvested_date":"2026-09-02T00:38:04.158680","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"ORNL_DAAC","slug":"snf-leaf-optical-properties-cary-14","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"SNF Leaf Optical Properties: Cary-14","type":"dataset"},{"_score":14.299259,"_sort":[1788309483825,14.299259,5,"0e4d8d26-dd28-4129-94c2-85f4cf8cdf86"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"Knowledge of the optical properties of the components of the forest canopy is important to the understanding of how plants interact with their environment and how this information may be used to determine vegetation characteristics using remote sensing. During the summers of 1983 and 1984, samples of the major components of the boreal forest canopy (needles, leaves, branches, moss, litter) were collected in the Superior National Forest (SNF) of Minnesota and sent to the Johnson Space Center (JSC). At JSC, the spectral reflectance and transmittance characteristics of the samples were determined for wavelengths between .35 and 2.1 micrometers using the Cary-14 radiometer. This report presents plots of these data as well as averages to the Thematic Mapper Simulator (TMS) bands. There were two main thrusts to the SNF optical properties study. The first was to collect the optical properties of many of the components of the boreal forest canopy. The second goal of the study was to investigate the variability of optical properties within a species. The results of these studies allow a comparison of the optical properties of a variety of different species and a measure of the variability within species. These data provide basic information necessary to model canopy reflectance patterns.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C2884983354-ORNL_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://daac.ornl.gov/graphics/browse/project/square/snf_logo_square.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/protected/bundle/SNF_LEAF_TMS_184.zip","format":"ZIP","mediaType":"application/zip"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/snf/SNF_LEAF_TMS/comp/leaf_optical_tms.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/snf/SNF_LEAF_TMS/comp/leaf_optical_tms.txt","format":"TXT","mediaType":"text/plain"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/snf/SNF_LEAF_TMS/comp/leaf_tms.def","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/snf/SNF_LEAF_TMS/comp/leaf_tms.txt","format":"TXT","mediaType":"text/plain"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.3334/ORNLDAAC/184","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C2884983354-ORNL_CLOUD","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.3334/ORNLDAAC/184","keyword":["earth-science-vegetation-biosphere-canopy-characteristics","earth-science-vegetation-biosphere-forest-composition-vegetation-structure","earth-science-vegetation-biosphere-vegetation-species"],"license":"https://www.usa.gov/government-works","modified":"2026-09-01","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"ORNL_DAAC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -92.5058, \"NorthBoundingCoordinate\": 48.1697, \"EastBoundingCoordinate\": -91.7658, \"SouthBoundingCoordinate\": 47.6575}]]","temporal":"1983-08-01/1984-08-14","theme":["Earth Science"],"title":"SNF Leaf Optical Properties: TMS"},"description":"Knowledge of the optical properties of the components of the forest canopy is important to the understanding of how plants interact with their environment and how this information may be used to determine vegetation characteristics using remote sensing. During the summers of 1983 and 1984, samples of the major components of the boreal forest canopy (needles, leaves, branches, moss, litter) were collected in the Superior National Forest (SNF) of Minnesota and sent to the Johnson Space Center (JSC). At JSC, the spectral reflectance and transmittance characteristics of the samples were determined for wavelengths between .35 and 2.1 micrometers using the Cary-14 radiometer. This report presents plots of these data as well as averages to the Thematic Mapper Simulator (TMS) bands. There were two main thrusts to the SNF optical properties study. The first was to collect the optical properties of many of the components of the boreal forest canopy. The second goal of the study was to investigate the variability of optical properties within a species. The results of these studies allow a comparison of the optical properties of a variety of different species and a measure of the variability within species. These data provide basic information necessary to model canopy reflectance patterns.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/ec3231ca-4a50-43ed-afec-dcd8b4d3df46","harvest_record_raw":"https://catalog.data.gov/harvest_record/ec3231ca-4a50-43ed-afec-dcd8b4d3df46/raw","has_download":true,"has_spatial":true,"identifier":"10.3334/ORNLDAAC/184","keyword":["earth-science-vegetation-biosphere-canopy-characteristics","earth-science-vegetation-biosphere-forest-composition-vegetation-structure","earth-science-vegetation-biosphere-vegetation-species"],"last_harvested_date":"2026-09-02T00:38:03.825527","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":5,"publisher":"ORNL_DAAC","slug":"snf-leaf-optical-properties-tms","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"SNF Leaf Optical Properties: TMS","type":"dataset"},{"_score":42.727253,"_sort":[1788309473025,42.727253,2,"8af1b760-8e93-4dd4-9bf7-1f0a7e7d03a2"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The Space-based Imaging Spectroscopy and Thermal pathfindER (SISTER) activity originated in support of the NASA Earth System Observatory's Surface Biology and Geology (SBG) mission to develop prototype workflows with community algorithms and generate prototype data products envisioned for SBG. SISTER focused on developing a data system that is open, portable, scalable, standards-compliant, and reproducible. This collection contains EXPERIMENTAL workflows and sample data products, including (a) the Common Workflow Language (CWL) process file and a Jupyter Notebook that run the entire SISTER workflow capable of generating experimental sample data products spanning terrestrial ecosystems, inland and coastal aquatic ecosystems, and snow, (b) the archived algorithm steps (as OGC Application Packages) used to generate products at each step of the workflow, (c) a small number of experimental sample data products produced by the workflow which are based on the Airborne Visible/Infrared Imaging Spectrometer-Classic (AVIRIS or AVIRIS-CL) instrument, and (d) instructions for reproducing the sample products included in this dataset. DISCLAIMER: This collection contains experimental workflows, experimental community algorithms, and experimental sample data products to demonstrate the capabilities of an end-to-end processing system. The experimental sample data products provided have not been fully validated and are not intended for scientific use. The community algorithms provided are placeholders which can be replaced by any user's algorithms for their own science and application interests. These algorithms should not in any capacity be considered the algorithms that will be implemented in the upcoming Surface Biology and Geology mission.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C3114843226-ORNL_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://daac.ornl.gov/SISTER/guides/SISTER_Workflow_V004_Fig1.jpg","format":"JPEG","mediaType":"image/jpeg"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/sister/SISTER_Workflow_V004/comp/SISTER_Workflow_V004.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.3334/ORNLDAAC/2335","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://opendap.earthdata.nasa.gov/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C3114843226-ORNL_CLOUD","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.3334/ORNLDAAC/2335","keyword":["earth-science-land-use-land-cover-land-surface","earth-science-snow-ice-cryosphere-snow-cover","earth-science-surface-radiative-properties-land-surface-reflectance","earth-science-ultraviolet-wavelengths-spectral-engineering-ultraviolet-radiance","earth-science-vegetation-biosphere-chlorophyll","earth-science-vegetation-biosphere-leaf-characteristics","earth-science-vegetation-biosphere-nitrogen","earth-science-visible-wavelengths-spectral-engineering-visible-radiance","earth-science-water-quality-water-chemistry-terrestrial-hydrosphere-water-characteristics"],"license":"https://www.usa.gov/government-works","modified":"2026-09-01","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"ORNL_DAAC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -158.055, \"NorthBoundingCoordinate\": 39.0817, \"EastBoundingCoordinate\": -107.962, \"SouthBoundingCoordinate\": 21.2023}]]","temporal":"2011-05-13/2018-01-26","theme":["Earth Science"],"title":"SISTER: Experimental Workflows, Product Generation Environment, and Sample Data, V004"},"description":"The Space-based Imaging Spectroscopy and Thermal pathfindER (SISTER) activity originated in support of the NASA Earth System Observatory's Surface Biology and Geology (SBG) mission to develop prototype workflows with community algorithms and generate prototype data products envisioned for SBG. SISTER focused on developing a data system that is open, portable, scalable, standards-compliant, and reproducible. This collection contains EXPERIMENTAL workflows and sample data products, including (a) the Common Workflow Language (CWL) process file and a Jupyter Notebook that run the entire SISTER workflow capable of generating experimental sample data products spanning terrestrial ecosystems, inland and coastal aquatic ecosystems, and snow, (b) the archived algorithm steps (as OGC Application Packages) used to generate products at each step of the workflow, (c) a small number of experimental sample data products produced by the workflow which are based on the Airborne Visible/Infrared Imaging Spectrometer-Classic (AVIRIS or AVIRIS-CL) instrument, and (d) instructions for reproducing the sample products included in this dataset. DISCLAIMER: This collection contains experimental workflows, experimental community algorithms, and experimental sample data products to demonstrate the capabilities of an end-to-end processing system. The experimental sample data products provided have not been fully validated and are not intended for scientific use. The community algorithms provided are placeholders which can be replaced by any user's algorithms for their own science and application interests. These algorithms should not in any capacity be considered the algorithms that will be implemented in the upcoming Surface Biology and Geology mission.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/4c8ecf18-7e8b-4f34-8592-ad18a6b85bbf","harvest_record_raw":"https://catalog.data.gov/harvest_record/4c8ecf18-7e8b-4f34-8592-ad18a6b85bbf/raw","has_download":true,"has_spatial":true,"identifier":"10.3334/ORNLDAAC/2335","keyword":["earth-science-land-use-land-cover-land-surface","earth-science-snow-ice-cryosphere-snow-cover","earth-science-surface-radiative-properties-land-surface-reflectance","earth-science-ultraviolet-wavelengths-spectral-engineering-ultraviolet-radiance","earth-science-vegetation-biosphere-chlorophyll","earth-science-vegetation-biosphere-leaf-characteristics","earth-science-vegetation-biosphere-nitrogen","earth-science-visible-wavelengths-spectral-engineering-visible-radiance","earth-science-water-quality-water-chemistry-terrestrial-hydrosphere-water-characteristics"],"last_harvested_date":"2026-09-02T00:37:53.025271","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":2,"publisher":"ORNL_DAAC","slug":"sister-experimental-workflows-product-generation-environment-and-sample-data-v004","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"SISTER: Experimental Workflows, Product Generation Environment, and Sample Data, V004","type":"dataset"},{"_score":52.23194,"_sort":[1788309416532,52.23194,0,"dd13b1cd-025c-4fa0-b50e-e7cfa06efe92"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The Particle Environment Monitor (PEM) Level 3TP data product consists of daily, 65.536 second and 2.048 interval time-ordered, vertical profiles of electron and proton rates. PEM was made up of four instruments: the Atmospheric X-Ray Imaging Spectrometer (AXIS), the High Energy Particle Spectrometer (HEPS), the Medium Energy Spectrometer (MEPS), and the Vector Magnetometer (VMAG). PEM was flown on NASA's Upper Atmosphere Research Satellite (UARS) to measure the type, amount, energy, and distribution of charged particles injected into the Earth's thermosphere, mesosphere, and stratosphere. The PEM Level 3TP data are processed with the version 4 algorithm.\n\nThe PEM level 3TP data are a special data product, providing higher temporal resolution than the level 3AT data, with the HEPS and MEPS instrument data in separate files. The HEPS profiles are made every 65.536 seconds, and the MEPS profiles are made every 2.048 seconds.\n\nData are on the UARS standard altitude levels (in km) given by:\n\nz(i) = 5 * i, i <= 12\nz(i) = 60 + (i - 12) * 3, 13 <= i <= 32\nz(i) = 120 + (i - 32) * 10, 33 <= i <= 50\n\nThe data files are available in a binary record oriented format.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C1273348498-GES_DISC.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://acdisc.gesdisc.eosdis.nasa.gov/data/UARS_PEM_Level3/UARPE3TP/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://acdisc.gesdisc.eosdis.nasa.gov/data/UARS_PEM_Level3/UARPE3TP/doc/README.UARPE3.doc","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://disc.gsfc.nasa.gov/datacollection/UARPE3TP_004.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://docserver.gesdisc.eosdis.nasa.gov/public/project/Images/UARPE3TP_004.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C1273348498-GES_DISC","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://uars.gsfc.nasa.gov/","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/QU2JQO315XEV","keyword":["earth-science-solar-energetic-particle-properties-sun-earth-interactions-energy-deposition"],"license":"https://www.usa.gov/government-works","modified":"2026-09-01","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/GSFC/SED/ESD/TISL/GESDISC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -180, \"NorthBoundingCoordinate\": 80, \"EastBoundingCoordinate\": 180, \"SouthBoundingCoordinate\": -80}]]","temporal":"1991-10-01/1999-12-31","theme":["Earth Science"],"title":"UARS Particle Environment Monitor (PEM) Level 3TP V004 (UARPE3TP) at GES DISC"},"description":"The Particle Environment Monitor (PEM) Level 3TP data product consists of daily, 65.536 second and 2.048 interval time-ordered, vertical profiles of electron and proton rates. PEM was made up of four instruments: the Atmospheric X-Ray Imaging Spectrometer (AXIS), the High Energy Particle Spectrometer (HEPS), the Medium Energy Spectrometer (MEPS), and the Vector Magnetometer (VMAG). PEM was flown on NASA's Upper Atmosphere Research Satellite (UARS) to measure the type, amount, energy, and distribution of charged particles injected into the Earth's thermosphere, mesosphere, and stratosphere. The PEM Level 3TP data are processed with the version 4 algorithm.\n\nThe PEM level 3TP data are a special data product, providing higher temporal resolution than the level 3AT data, with the HEPS and MEPS instrument data in separate files. The HEPS profiles are made every 65.536 seconds, and the MEPS profiles are made every 2.048 seconds.\n\nData are on the UARS standard altitude levels (in km) given by:\n\nz(i) = 5 * i, i <= 12\nz(i) = 60 + (i - 12) * 3, 13 <= i <= 32\nz(i) = 120 + (i - 32) * 10, 33 <= i <= 50\n\nThe data files are available in a binary record oriented format.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/6bf868db-38ff-4f73-ae5e-5be0c4bcbbd0","harvest_record_raw":"https://catalog.data.gov/harvest_record/6bf868db-38ff-4f73-ae5e-5be0c4bcbbd0/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/QU2JQO315XEV","keyword":["earth-science-solar-energetic-particle-properties-sun-earth-interactions-energy-deposition"],"last_harvested_date":"2026-09-02T00:36:56.532037","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":0,"publisher":"NASA/GSFC/SED/ESD/TISL/GESDISC","slug":"uars-particle-environment-monitor-pem-level-3tp-v004-uarpe3tp-at-ges-disc-11f44","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"UARS Particle Environment Monitor (PEM) Level 3TP V004 (UARPE3TP) at GES DISC","type":"dataset"},{"_score":12.914167,"_sort":[1788309415815,12.914167,0,"373fa65f-457e-4afa-8ea1-142bf3dc33f1"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The UARS Particle Environment Monitor (PEM) level 2 Atmosphere X-Ray Imaging Spectrometer (AXIS) unit 1 daily product contains the X-ray high-resolution spectral data converted to number intensity units from the AXIS1 pixels mounted on the UARS body. PEM was flown on the UARS spacecraft to measure the type, amount, energy, and distribution of charged particles injected into the Earth's thermosphere, mesosphere, and stratosphere.\n\nThe PEM AXIS1 X-ray data cover roughly the energy range from 2 keV to 300 keV. There are eight AXIS1 pixels mounted in the AXIS1 housing, each viewing different directions. The AXIS1 pixels are aligned on the spacecraft to project about 45 degrees toward the +x-axis direction from the Earthward pointing direction (+z-axis). Each pixel of AXIS1 is staggered about the 45 degree direction in an every-other fashion. Pixel 1 is closest to the center line of the spacecraft and Pixel 8 is furtherest away; however, their ground projection is dependent on the spacecraft orientation.\n\nThere is one data file per day for the PEM AXIS1 product, and the temporal coverage is from Oct. 1, 1991 to Aug. 23, 2005. Spatial coverage for the AXIS1 product ranges between -80 and +80 degrees latitude. The AXIS1 data files are written in network binary format. For more information please review the PEM AXIS1 data format guide.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C1273348592-GES_DISC.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://acdisc.gesdisc.eosdis.nasa.gov/data/UARS_PEM_Level2/UARPE2AXIS1/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://disc.gsfc.nasa.gov/datacollection/UARPE2AXIS1_001.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://docserver.gesdisc.eosdis.nasa.gov/public/project/Images/UARPE2AXIS1_001.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C1273348592-GES_DISC","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://uars.gsfc.nasa.gov/","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/8P0BWY0J35MS","keyword":["earth-science-solar-energetic-particle-flux-sun-earth-interactions-x-ray-flux"],"license":"https://www.usa.gov/government-works","modified":"2026-09-01","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/GSFC/SED/ESD/TISL/GESDISC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -180, \"NorthBoundingCoordinate\": 80, \"EastBoundingCoordinate\": 180, \"SouthBoundingCoordinate\": -80}]]","temporal":"1991-09-30/2005-03-08","theme":["Earth Science"],"title":"UARS PEM Level 2 AXIS 1 V001 (UARPE2AXIS1) at GES DISC"},"description":"The UARS Particle Environment Monitor (PEM) level 2 Atmosphere X-Ray Imaging Spectrometer (AXIS) unit 1 daily product contains the X-ray high-resolution spectral data converted to number intensity units from the AXIS1 pixels mounted on the UARS body. PEM was flown on the UARS spacecraft to measure the type, amount, energy, and distribution of charged particles injected into the Earth's thermosphere, mesosphere, and stratosphere.\n\nThe PEM AXIS1 X-ray data cover roughly the energy range from 2 keV to 300 keV. There are eight AXIS1 pixels mounted in the AXIS1 housing, each viewing different directions. The AXIS1 pixels are aligned on the spacecraft to project about 45 degrees toward the +x-axis direction from the Earthward pointing direction (+z-axis). Each pixel of AXIS1 is staggered about the 45 degree direction in an every-other fashion. Pixel 1 is closest to the center line of the spacecraft and Pixel 8 is furtherest away; however, their ground projection is dependent on the spacecraft orientation.\n\nThere is one data file per day for the PEM AXIS1 product, and the temporal coverage is from Oct. 1, 1991 to Aug. 23, 2005. Spatial coverage for the AXIS1 product ranges between -80 and +80 degrees latitude. The AXIS1 data files are written in network binary format. For more information please review the PEM AXIS1 data format guide.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/d3b346b1-54e7-4d1c-a32a-09cdf6da4933","harvest_record_raw":"https://catalog.data.gov/harvest_record/d3b346b1-54e7-4d1c-a32a-09cdf6da4933/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/8P0BWY0J35MS","keyword":["earth-science-solar-energetic-particle-flux-sun-earth-interactions-x-ray-flux"],"last_harvested_date":"2026-09-02T00:36:55.815247","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":0,"publisher":"NASA/GSFC/SED/ESD/TISL/GESDISC","slug":"uars-pem-level-2-axis-1-v001-uarpe2axis1-at-ges-disc-eaf83","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"UARS PEM Level 2 AXIS 1 V001 (UARPE2AXIS1) at GES DISC","type":"dataset"},{"_score":9.66918,"_sort":[1788309415477,9.66918,0,"1e005e2e-8da4-4aca-bab3-95eeb3d07f24"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The Particle Environment Monitor (PEM) level 2 High-Energy Particle Spectrometer (HEPS) B daily product contains the electron high-resolution spectral data converted to number intensity units from the HEPS telescopes mounted on the nadir UARS boom, and the proton high-resolution spectral data converted to number intensity units from the HEPS telescopes mounted on the zenith boom. There are no HEPS proton measuring instruments on the nadir boom. PEM was flown on the UARS spacecraft to measure the type, amount, energy, and distribution of charged particles injected into the Earth's thermosphere, mesosphere, and stratosphere.\n\nThe PEM HEPS nadir boom electron data covers the rough range from 35 keV to 5 MeV. There are two telescopes mounted in different directions. These measure -165 and +165 degrees with respect to the spacecraft -z-axis and along the spacecraft +x-axis. The HEPS electron units accumulate a spectrum in 16.384 sec. The PEM HEPS zenith boom proton data covers the rough range from 70 keV to 150 MeV for mounting angles less than 30 degrees and 500 keV to 150 MeV for mounting angles greater than 30 deg. There are six telescopes mounted in four different directions. These measure -15 deg, +15 deg, +45 deg, and +90 degrees with respect to the spacecraft -z-axis and along the spacecraft +x-axis. The PEM HEPS proton units accumulate a spectrum in 16.384 sec. The nadir HEPS electron unit in this file (labeled HEPS3) contains two telescopes (labeled telescope 1 and telescope 2). Each telescope contains a stack of solid state crystals. The signals from each of the crystals are combined by energy processing electronics of the instrument to yield two logical crystals or detectors, called the DE and EE detectors. The DE detector has the rough energy range from 35 keV to 300 keV and the EE detector rough energy range is from 300 keV to 5 MeV. These designations are used in the description of HEPS electron data.\n\nThere is one data file per day for the PEM HEPSB product, and the temporal coverage is from Oct. 1, 1991 to Aug. 23, 2005. Spatial coverage for the HEPSB product ranges between -57 and +57 degrees latitude. The HEPSB data files are written in network binary format. For more information please review the PEM HEPSB data format guide.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C1273348594-GES_DISC.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://acdisc.gesdisc.eosdis.nasa.gov/data/UARS_PEM_Level2/UARPE2HEPSB/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://disc.gsfc.nasa.gov/datacollection/UARPE2HEPSB_001.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://docserver.gesdisc.eosdis.nasa.gov/public/project/Images/UARPE2HEPSB_001.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C1273348594-GES_DISC","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://uars.gsfc.nasa.gov/","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/IUH6OOD578ZA","keyword":["earth-science-solar-energetic-particle-flux-sun-earth-interactions-electron-flux","earth-science-solar-energetic-particle-flux-sun-earth-interactions-proton-flux"],"license":"https://www.usa.gov/government-works","modified":"2026-09-01","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/GSFC/SED/ESD/TISL/GESDISC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -180, \"NorthBoundingCoordinate\": 57.15, \"EastBoundingCoordinate\": 180, \"SouthBoundingCoordinate\": -57.15}]]","temporal":"1991-10-01/2005-08-23","theme":["Earth Science"],"title":"UARS PEM Level 2 HEPS B V001 (UARPE2HEPSB) at GES DISC"},"description":"The Particle Environment Monitor (PEM) level 2 High-Energy Particle Spectrometer (HEPS) B daily product contains the electron high-resolution spectral data converted to number intensity units from the HEPS telescopes mounted on the nadir UARS boom, and the proton high-resolution spectral data converted to number intensity units from the HEPS telescopes mounted on the zenith boom. There are no HEPS proton measuring instruments on the nadir boom. PEM was flown on the UARS spacecraft to measure the type, amount, energy, and distribution of charged particles injected into the Earth's thermosphere, mesosphere, and stratosphere.\n\nThe PEM HEPS nadir boom electron data covers the rough range from 35 keV to 5 MeV. There are two telescopes mounted in different directions. These measure -165 and +165 degrees with respect to the spacecraft -z-axis and along the spacecraft +x-axis. The HEPS electron units accumulate a spectrum in 16.384 sec. The PEM HEPS zenith boom proton data covers the rough range from 70 keV to 150 MeV for mounting angles less than 30 degrees and 500 keV to 150 MeV for mounting angles greater than 30 deg. There are six telescopes mounted in four different directions. These measure -15 deg, +15 deg, +45 deg, and +90 degrees with respect to the spacecraft -z-axis and along the spacecraft +x-axis. The PEM HEPS proton units accumulate a spectrum in 16.384 sec. The nadir HEPS electron unit in this file (labeled HEPS3) contains two telescopes (labeled telescope 1 and telescope 2). Each telescope contains a stack of solid state crystals. The signals from each of the crystals are combined by energy processing electronics of the instrument to yield two logical crystals or detectors, called the DE and EE detectors. The DE detector has the rough energy range from 35 keV to 300 keV and the EE detector rough energy range is from 300 keV to 5 MeV. These designations are used in the description of HEPS electron data.\n\nThere is one data file per day for the PEM HEPSB product, and the temporal coverage is from Oct. 1, 1991 to Aug. 23, 2005. Spatial coverage for the HEPSB product ranges between -57 and +57 degrees latitude. The HEPSB data files are written in network binary format. For more information please review the PEM HEPSB data format guide.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/60ae99a9-6296-4379-84ae-caf8c58c5f16","harvest_record_raw":"https://catalog.data.gov/harvest_record/60ae99a9-6296-4379-84ae-caf8c58c5f16/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/IUH6OOD578ZA","keyword":["earth-science-solar-energetic-particle-flux-sun-earth-interactions-electron-flux","earth-science-solar-energetic-particle-flux-sun-earth-interactions-proton-flux"],"last_harvested_date":"2026-09-02T00:36:55.477676","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":0,"publisher":"NASA/GSFC/SED/ESD/TISL/GESDISC","slug":"uars-pem-level-2-heps-b-v001-uarpe2hepsb-at-ges-disc-e9e07","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"UARS PEM Level 2 HEPS B V001 (UARPE2HEPSB) at GES DISC","type":"dataset"},{"_score":12.650017,"_sort":[1788309415161,12.650017,0,"1440132a-700a-4473-95c0-5bf2b3f15544"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The Particle Environment Monitor (PEM) level 2 Vector Magnetometer (VMAG) DC daily product contains the Vector Magnetic Field component, UARS Aspect Magnetometers component, and UARS Torquer Bars component data converted to nanoTesla and milliAmp units. PEM was flown on the UARS spacecraft to measure the type, amount, energy, and distribution of charged particles injected into the Earth's thermosphere, mesosphere, and stratosphere.\n\nThe VMAG DC data range is from -65000 nT to +65000 nT, with 2 nT resolution. Measurements were from the three vector components, X, Y, and Z with respect to the UARS spacecraft orientation. The VMAG sensor consists of three orthogonal ring-core fluxgate sensors, surrounded by a thermal sphere. Stray magnetic fields from the spacecraft can be accounted for by use of the UARS torquer bar currents. The VMAG unit is located on the zenith boom of UARS. The UARS aspect magnetometers and torquer bars are located on the body of the UARS spacecraft.\n\nThere is one data file per day for the PEM VMAG DC product, and the temporal coverage is from Oct. 1, 1991 to Aug. 23, 2005. Spatial coverage for the VMAG DC product ranges between -57 and +57 degrees latitude. The VMAG DC data files are written in network binary format. For more information please review the PEM VMAG DC data format guide.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C1273348602-GES_DISC.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://acdisc.gesdisc.eosdis.nasa.gov/data/UARS_PEM_Level_2/UARPE2VMAGDC/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://disc.gsfc.nasa.gov/datacollection/UARPE2VMAGDC_001.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://docserver.gesdisc.eosdis.nasa.gov/public/project/Images/UARPE2VMAGDC_001.gif","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C1273348602-GES_DISC","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://uars.gsfc.nasa.gov/","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/A15U5FKMFWVQ","keyword":["earth-science-ionosphere-magnetosphere-dynamics-sun-earth-interactions-magnetic-fields-magnetic"],"license":"https://www.usa.gov/government-works","modified":"2026-09-01","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/GSFC/SED/ESD/TISL/GESDISC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -180, \"NorthBoundingCoordinate\": 57.15, \"EastBoundingCoordinate\": 180, \"SouthBoundingCoordinate\": -57.15}]]","temporal":"1991-09-15/2005-08-23","theme":["Earth Science"],"title":"UARS PEM Level 2 VMAG DC V001 (UARPE2VMAGDC) at GES DISC"},"description":"The Particle Environment Monitor (PEM) level 2 Vector Magnetometer (VMAG) DC daily product contains the Vector Magnetic Field component, UARS Aspect Magnetometers component, and UARS Torquer Bars component data converted to nanoTesla and milliAmp units. PEM was flown on the UARS spacecraft to measure the type, amount, energy, and distribution of charged particles injected into the Earth's thermosphere, mesosphere, and stratosphere.\n\nThe VMAG DC data range is from -65000 nT to +65000 nT, with 2 nT resolution. Measurements were from the three vector components, X, Y, and Z with respect to the UARS spacecraft orientation. The VMAG sensor consists of three orthogonal ring-core fluxgate sensors, surrounded by a thermal sphere. Stray magnetic fields from the spacecraft can be accounted for by use of the UARS torquer bar currents. The VMAG unit is located on the zenith boom of UARS. The UARS aspect magnetometers and torquer bars are located on the body of the UARS spacecraft.\n\nThere is one data file per day for the PEM VMAG DC product, and the temporal coverage is from Oct. 1, 1991 to Aug. 23, 2005. Spatial coverage for the VMAG DC product ranges between -57 and +57 degrees latitude. The VMAG DC data files are written in network binary format. For more information please review the PEM VMAG DC data format guide.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/3bbd77e2-f71f-4bd6-9058-98e7999681ae","harvest_record_raw":"https://catalog.data.gov/harvest_record/3bbd77e2-f71f-4bd6-9058-98e7999681ae/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/A15U5FKMFWVQ","keyword":["earth-science-ionosphere-magnetosphere-dynamics-sun-earth-interactions-magnetic-fields-magnetic"],"last_harvested_date":"2026-09-02T00:36:55.161165","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":0,"publisher":"NASA/GSFC/SED/ESD/TISL/GESDISC","slug":"uars-pem-level-2-vmag-dc-v001-uarpe2vmagdc-at-ges-disc-fc70b","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"UARS PEM Level 2 VMAG DC V001 (UARPE2VMAGDC) at GES DISC","type":"dataset"},{"_score":11.830042,"_sort":[1788309406630,11.830042,1,"1fedf64b-3b12-45ee-8b71-d2ca6ab466c4"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"CITE-3_TraceGas_AircraftInSitu_Electra_Data is the in-situ trace gas data collected onboard the NASA Electra aircraft Chemical Instrumentation Test and Evaluation - 3 (CITE-3) suborbital campaign. Data using gas chromatography, laser induced photofragmentation, and the Differential Absorption CO, CH4, N2O Measurements (DACOM) instrument are featured in this collection. Data collection for this product is complete.\n\nDuring 1983-2001, NASA conducted a collection of field campaigns as a part of the Global Tropospheric Experiment (GTE) to develop advanced instrumentation to measure critical atmospheric trace gases and quantify their sources, sinks, and distribution. Among those were the Chemical Instrumentation Test and Evaluation (CITE) missions, which had the overarching goal to test and evaluate the instruments developed for the GTE missions. To accomplish this objective, the CITE missions adopted the methodology of conducting intercomparisons of airborne measurements obtained for the same species by instruments utilizing fundamentally different detection principles (Hoell et al., 1990). The third phase of the CITE mission, CITE 3, occurred in the North and tropical Atlantic Ocean from August-September 1989. Its primary objective was to test and evaluate the capacity to collect reliable measurements of the following sulfur species: sulfur dioxide (SO2), dimethyl sulfide (DMS), carbonyl sulfide (COS), carbon disulfide (CS2), and hydrogen sulfide (H2S). The secondary objective of CITE 3 was to determine the abundance and distribution of major sulfur species over a wide range of atmospheric conditions, including altitude, solar flux levels, atmospheric mixing ratios, and surface source strengths of sulfur in a predominantly marine environment (Hoell et al., 1993).\n\nCITE 3 utilized the NASA Electra research aircraft equipped with a suite of instruments for sulfur and ancillary measurements. The two main objectives were addressed through intercomparisons of airborne measurements obtained for the same species but utilizing fundamentally different detection principles in order to have multiple measurements of each of the sulfur species. In some instances, the same detection principle was used, but the method of sample collection and/or analysis procedures were different. A complete payload had the potential of five techniques for SO2, six techniques for DMS, and three techniques for H2S, CS2, and COS. However, due to operational problems or team decisions to focus on specific species during flights, not all measurement techniques were employed at all times (Hoell et al., 1993). There were three phases of field activity in this campaign: (1) intercomparison of sulfur calibration standards, (2) measurements in ambient air over the Northern Atlantic Ocean, and (3) measurements in ambient air over the tropical Atlantic Ocean. Cite 3 was based out of NASA Wallops Flight Facility in Virginia, USA and Natal, Brazil. Each base of operation provided a different environment for intercomparison. Air masses at NAS Wallops Flight Facility were influenced by anthropogenic emissions along the eastern United States compared to the relatively clean marine boundary layer over the ocean off the coast of Natal. As part of the Natal deployment, ozonesondes were launched from the Natal area to provide data on the general state of the atmosphere as well as serve as a frame of reference when compared to the seasonally averaged ozone data from this site.\n\nseasonally averaged ozone data from this site. Sulfur gases and their reaction products play important roles in the chemistry of the global troposphere as well as the biogeochemical sulfur cycle. The sulfur database from CITE 3, and the results from both intercomparison studies and photochemical budget studies, significantly enhanced the ability to evaluate the confidence in the existing databases. Detailed description related to the motivation, implementation, and instrument payloads are available in the CITE 3 overview paper. A collection of the publications based on CITE 3 observations are available in the Journal of Geophysical Research special issue: Chemical Instrumentation Test and Evaluation (CITE 3).","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C3645531988-LARC_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/93JD00453","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://agupubs.onlinelibrary.wiley.com/doi/toc/10.1002/%28ISSN%292169-8996.GTECIT1","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/citing-data","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/cite-3/CITE_User_Guide.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/gte/guide/gte_fmt.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/ASDC/SUBORBITAL/CITE-3/TraceGas_AircraftInSitu_Electra_Data_1","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C3645531988-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www-gte.larc.nasa.gov/Mission_Pubs/C3_Pubs.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://www-gte.larc.nasa.gov/cite/cite3_dat.htm","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www-gte.larc.nasa.gov/gte_fld.htm","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www-gte.larc.nasa.gov/gte_hmpg.htm#table","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/ASDC/SUBORBITAL/CITE-3/TraceGas_AircraftInSitu_Electra_Data_1","keyword":["earth-science-air-quality-atmosphere-carbon-monoxide","earth-science-atmospheric-chemistry-atmosphere-carbon-and-hydrocarbon-compounds","earth-science-atmospheric-chemistry-atmosphere-nitrogen-compounds","earth-science-atmospheric-chemistry-atmosphere-sulfur-compounds","earth-science-atmospheric-chemistry-atmosphere-trace-gases-trace-species"],"license":"https://www.usa.gov/government-works","modified":"2026-09-01","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/LARC/SD/ASDC"},"spatial":"[\"CARTESIAN\", [{\"SouthBoundingCoordinate\": 0.01, \"NorthBoundingCoordinate\": 40.13, \"WestBoundingCoordinate\": -81.48, \"EastBoundingCoordinate\": -26.93}]]","temporal":"1989-08-14/1989-10-01","theme":["Earth Science"],"title":"CITE-3 Electra In-Situ Trace Gas Data"},"description":"CITE-3_TraceGas_AircraftInSitu_Electra_Data is the in-situ trace gas data collected onboard the NASA Electra aircraft Chemical Instrumentation Test and Evaluation - 3 (CITE-3) suborbital campaign. Data using gas chromatography, laser induced photofragmentation, and the Differential Absorption CO, CH4, N2O Measurements (DACOM) instrument are featured in this collection. Data collection for this product is complete.\n\nDuring 1983-2001, NASA conducted a collection of field campaigns as a part of the Global Tropospheric Experiment (GTE) to develop advanced instrumentation to measure critical atmospheric trace gases and quantify their sources, sinks, and distribution. Among those were the Chemical Instrumentation Test and Evaluation (CITE) missions, which had the overarching goal to test and evaluate the instruments developed for the GTE missions. To accomplish this objective, the CITE missions adopted the methodology of conducting intercomparisons of airborne measurements obtained for the same species by instruments utilizing fundamentally different detection principles (Hoell et al., 1990). The third phase of the CITE mission, CITE 3, occurred in the North and tropical Atlantic Ocean from August-September 1989. Its primary objective was to test and evaluate the capacity to collect reliable measurements of the following sulfur species: sulfur dioxide (SO2), dimethyl sulfide (DMS), carbonyl sulfide (COS), carbon disulfide (CS2), and hydrogen sulfide (H2S). The secondary objective of CITE 3 was to determine the abundance and distribution of major sulfur species over a wide range of atmospheric conditions, including altitude, solar flux levels, atmospheric mixing ratios, and surface source strengths of sulfur in a predominantly marine environment (Hoell et al., 1993).\n\nCITE 3 utilized the NASA Electra research aircraft equipped with a suite of instruments for sulfur and ancillary measurements. The two main objectives were addressed through intercomparisons of airborne measurements obtained for the same species but utilizing fundamentally different detection principles in order to have multiple measurements of each of the sulfur species. In some instances, the same detection principle was used, but the method of sample collection and/or analysis procedures were different. A complete payload had the potential of five techniques for SO2, six techniques for DMS, and three techniques for H2S, CS2, and COS. However, due to operational problems or team decisions to focus on specific species during flights, not all measurement techniques were employed at all times (Hoell et al., 1993). There were three phases of field activity in this campaign: (1) intercomparison of sulfur calibration standards, (2) measurements in ambient air over the Northern Atlantic Ocean, and (3) measurements in ambient air over the tropical Atlantic Ocean. Cite 3 was based out of NASA Wallops Flight Facility in Virginia, USA and Natal, Brazil. Each base of operation provided a different environment for intercomparison. Air masses at NAS Wallops Flight Facility were influenced by anthropogenic emissions along the eastern United States compared to the relatively clean marine boundary layer over the ocean off the coast of Natal. As part of the Natal deployment, ozonesondes were launched from the Natal area to provide data on the general state of the atmosphere as well as serve as a frame of reference when compared to the seasonally averaged ozone data from this site.\n\nseasonally averaged ozone data from this site. Sulfur gases and their reaction products play important roles in the chemistry of the global troposphere as well as the biogeochemical sulfur cycle. The sulfur database from CITE 3, and the results from both intercomparison studies and photochemical budget studies, significantly enhanced the ability to evaluate the confidence in the existing databases. Detailed description related to the motivation, implementation, and instrument payloads are available in the CITE 3 overview paper. A collection of the publications based on CITE 3 observations are available in the Journal of Geophysical Research special issue: Chemical Instrumentation Test and Evaluation (CITE 3).","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/a45d5453-f55a-4bd5-b638-059add789ae6","harvest_record_raw":"https://catalog.data.gov/harvest_record/a45d5453-f55a-4bd5-b638-059add789ae6/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/ASDC/SUBORBITAL/CITE-3/TraceGas_AircraftInSitu_Electra_Data_1","keyword":["earth-science-air-quality-atmosphere-carbon-monoxide","earth-science-atmospheric-chemistry-atmosphere-carbon-and-hydrocarbon-compounds","earth-science-atmospheric-chemistry-atmosphere-nitrogen-compounds","earth-science-atmospheric-chemistry-atmosphere-sulfur-compounds","earth-science-atmospheric-chemistry-atmosphere-trace-gases-trace-species"],"last_harvested_date":"2026-09-02T00:36:46.630802","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"NASA/LARC/SD/ASDC","slug":"cite-3-electra-in-situ-trace-gas-data","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"CITE-3 Electra In-Situ Trace Gas Data","type":"dataset"},{"_score":11.824856,"_sort":[1788309406294,11.824856,3,"cc85a2ee-4ef7-4dc2-9fdc-f5b7e397232b"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"CITE-3_MetNav_AircraftInSitu_Electra_Data is the in-situ trace gas data collected onboard the NASA Electra aircraft Chemical Instrumentation Test and Evaluation - 3 (CITE-3) suborbital campaign. Data collection for this product is complete.\n\nDuring 1983-2001, NASA conducted a collection of field campaigns as a part of the Global Tropospheric Experiment (GTE) to develop advanced instrumentation to measure critical atmospheric trace gases and quantify their sources, sinks, and distribution. Among those were the Chemical Instrumentation Test and Evaluation (CITE) missions, which had the overarching goal to test and evaluate the instruments developed for the GTE missions. To accomplish this objective, the CITE missions adopted the methodology of conducting intercomparisons of airborne measurements obtained for the same species by instruments utilizing fundamentally different detection principles (Hoell et al., 1990). The third phase of the CITE mission, CITE 3, occurred in the North and tropical Atlantic Ocean from August-September 1989. Its primary objective was to test and evaluate the capacity to collect reliable measurements of the following sulfur species: sulfur dioxide (SO2), dimethyl sulfide (DMS), carbonyl sulfide (COS), carbon disulfide (CS2), and hydrogen sulfide (H2S). The secondary objective of CITE 3 was to determine the abundance and distribution of major sulfur species over a wide range of atmospheric conditions, including altitude, solar flux levels, atmospheric mixing ratios, and surface source strengths of sulfur in a predominantly marine environment (Hoell et al., 1993).\n\nCITE 3 utilized the NASA Electra research aircraft equipped with a suite of instruments for sulfur and ancillary measurements. The two main objectives were addressed through intercomparisons of airborne measurements obtained for the same species but utilizing fundamentally different detection principles in order to have multiple measurements of each of the sulfur species. In some instances, the same detection principle was used, but the method of sample collection and/or analysis procedures were different. A complete payload had the potential of five techniques for SO2, six techniques for DMS, and three techniques for H2S, CS2, and COS. However, due to operational problems or team decisions to focus on specific species during flights, not all measurement techniques were employed at all times (Hoell et al., 1993). There were three phases of field activity in this campaign: (1) intercomparison of sulfur calibration standards, (2) measurements in ambient air over the Northern Atlantic Ocean, and (3) measurements in ambient air over the tropical Atlantic Ocean. Cite 3 was based out of NASA Wallops Flight Facility in Virginia, USA and Natal, Brazil. Each base of operation provided a different environment for intercomparison. Air masses at NAS Wallops Flight Facility were influenced by anthropogenic emissions along the eastern United States compared to the relatively clean marine boundary layer over the ocean off the coast of Natal. As part of the Natal deployment, ozonesondes were launched from the Natal area to provide data on the general state of the atmosphere as well as serve as a frame of reference when compared to the seasonally averaged ozone data from this site.\n\nseasonally averaged ozone data from this site. Sulfur gases and their reaction products play important roles in the chemistry of the global troposphere as well as the biogeochemical sulfur cycle. The sulfur database from CITE 3, and the results from both intercomparison studies and photochemical budget studies, significantly enhanced the ability to evaluate the confidence in the existing databases. Detailed description related to the motivation, implementation, and instrument payloads are available in the CITE 3 overview paper. A collection of the publications based on CITE 3 observations are available in the Journal of Geophysical Research special issue: Chemical Instrumentation Test and Evaluation (CITE 3).","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C3645532470-LARC_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/93JD00453","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://agupubs.onlinelibrary.wiley.com/doi/toc/10.1002/%28ISSN%292169-8996.GTECIT1","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/citing-data","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/cite-3/CITE_User_Guide.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/gte/guide/gte_fmt.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/ASDC/SUBORBITAL/CITE-3/MetNav_AircraftInSitu_Electra_Data_1","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C3645532470-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www-gte.larc.nasa.gov/Mission_Pubs/C3_Pubs.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://www-gte.larc.nasa.gov/cite/cite3_dat.htm","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www-gte.larc.nasa.gov/gte_fld.htm","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www-gte.larc.nasa.gov/gte_hmpg.htm#table","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/ASDC/SUBORBITAL/CITE-3/MetNav_AircraftInSitu_Electra_Data_1","keyword":["earth-science-atmospheric-temperature-atmosphere-surface-temperature","earth-science-atmospheric-winds-atmosphere-surface-winds","earth-science-platform-characteristics-spectral-engineering-flight-data-logs"],"license":"https://www.usa.gov/government-works","modified":"2026-09-01","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/LARC/SD/ASDC"},"spatial":"[\"CARTESIAN\", [{\"NorthBoundingCoordinate\": 40.13, \"SouthBoundingCoordinate\": 0.01, \"WestBoundingCoordinate\": -81.48, \"EastBoundingCoordinate\": -26.93}]]","temporal":"1989-08-14/1989-10-01","theme":["Earth Science"],"title":"CITE-3 Electra Meteorological and Navigational Data"},"description":"CITE-3_MetNav_AircraftInSitu_Electra_Data is the in-situ trace gas data collected onboard the NASA Electra aircraft Chemical Instrumentation Test and Evaluation - 3 (CITE-3) suborbital campaign. Data collection for this product is complete.\n\nDuring 1983-2001, NASA conducted a collection of field campaigns as a part of the Global Tropospheric Experiment (GTE) to develop advanced instrumentation to measure critical atmospheric trace gases and quantify their sources, sinks, and distribution. Among those were the Chemical Instrumentation Test and Evaluation (CITE) missions, which had the overarching goal to test and evaluate the instruments developed for the GTE missions. To accomplish this objective, the CITE missions adopted the methodology of conducting intercomparisons of airborne measurements obtained for the same species by instruments utilizing fundamentally different detection principles (Hoell et al., 1990). The third phase of the CITE mission, CITE 3, occurred in the North and tropical Atlantic Ocean from August-September 1989. Its primary objective was to test and evaluate the capacity to collect reliable measurements of the following sulfur species: sulfur dioxide (SO2), dimethyl sulfide (DMS), carbonyl sulfide (COS), carbon disulfide (CS2), and hydrogen sulfide (H2S). The secondary objective of CITE 3 was to determine the abundance and distribution of major sulfur species over a wide range of atmospheric conditions, including altitude, solar flux levels, atmospheric mixing ratios, and surface source strengths of sulfur in a predominantly marine environment (Hoell et al., 1993).\n\nCITE 3 utilized the NASA Electra research aircraft equipped with a suite of instruments for sulfur and ancillary measurements. The two main objectives were addressed through intercomparisons of airborne measurements obtained for the same species but utilizing fundamentally different detection principles in order to have multiple measurements of each of the sulfur species. In some instances, the same detection principle was used, but the method of sample collection and/or analysis procedures were different. A complete payload had the potential of five techniques for SO2, six techniques for DMS, and three techniques for H2S, CS2, and COS. However, due to operational problems or team decisions to focus on specific species during flights, not all measurement techniques were employed at all times (Hoell et al., 1993). There were three phases of field activity in this campaign: (1) intercomparison of sulfur calibration standards, (2) measurements in ambient air over the Northern Atlantic Ocean, and (3) measurements in ambient air over the tropical Atlantic Ocean. Cite 3 was based out of NASA Wallops Flight Facility in Virginia, USA and Natal, Brazil. Each base of operation provided a different environment for intercomparison. Air masses at NAS Wallops Flight Facility were influenced by anthropogenic emissions along the eastern United States compared to the relatively clean marine boundary layer over the ocean off the coast of Natal. As part of the Natal deployment, ozonesondes were launched from the Natal area to provide data on the general state of the atmosphere as well as serve as a frame of reference when compared to the seasonally averaged ozone data from this site.\n\nseasonally averaged ozone data from this site. Sulfur gases and their reaction products play important roles in the chemistry of the global troposphere as well as the biogeochemical sulfur cycle. The sulfur database from CITE 3, and the results from both intercomparison studies and photochemical budget studies, significantly enhanced the ability to evaluate the confidence in the existing databases. Detailed description related to the motivation, implementation, and instrument payloads are available in the CITE 3 overview paper. A collection of the publications based on CITE 3 observations are available in the Journal of Geophysical Research special issue: Chemical Instrumentation Test and Evaluation (CITE 3).","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/5c95fa9c-8bc8-49d7-9970-e4290546b1bb","harvest_record_raw":"https://catalog.data.gov/harvest_record/5c95fa9c-8bc8-49d7-9970-e4290546b1bb/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/ASDC/SUBORBITAL/CITE-3/MetNav_AircraftInSitu_Electra_Data_1","keyword":["earth-science-atmospheric-temperature-atmosphere-surface-temperature","earth-science-atmospheric-winds-atmosphere-surface-winds","earth-science-platform-characteristics-spectral-engineering-flight-data-logs"],"last_harvested_date":"2026-09-02T00:36:46.294226","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":3,"publisher":"NASA/LARC/SD/ASDC","slug":"cite-3-electra-meteorological-and-navigational-data","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"CITE-3 Electra Meteorological and Navigational Data","type":"dataset"},{"_score":12.914167,"_sort":[1788309388452,12.914167,1,"e64f0593-6d92-401b-91fc-31b135e602c7"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"This dataset contains estimates of tree canopy cover presence at high resolution (0.5m) across the state of Vermont for 2016 in Cloud-Optimized GeoTIFF (*.tif) format. Tree canopy was derived from 2016 high-resolution remotely sensed data as part of the Vermont High-Resolution Land Cover mapping project. Object-based image analysis techniques (OBIA) were employed to extract potential tree canopy and trees using the best available remotely sensed and vector GIS datasets. OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to ensure that the end product is both accurate and cartographically pleasing. Following the automated OBIA mapping a detailed manual review of the dataset was carried out at a scale of 1:3000 and all observable errors were corrected. Tree canopy assessments have been conducted for numerous communities throughout the U.S. where the results have been instrumental in helping to establish tree canopy goals.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C2482184416-ORNL_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://daac.ornl.gov/CMS/guides/Vermont_HighRes_LandCover_Fig1.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/protected/bundle/Vermont_HighRes_LandCover_2072.zip","format":"ZIP","mediaType":"application/zip"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/cms/Vermont_HighRes_LandCover/comp/Vermont_HighRes_LandCover.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.3334/ORNLDAAC/2072","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C2482184416-ORNL_CLOUD","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.3334/ORNLDAAC/2072","keyword":["earth-science-ecosystems-biosphere-terrestrial-ecosystems","earth-science-vegetation-biosphere-canopy-characteristics"],"license":"https://www.usa.gov/government-works","modified":"2026-09-01","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"ORNL_DAAC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -73.4858, \"NorthBoundingCoordinate\": 45.0224, \"EastBoundingCoordinate\": -71.4559, \"SouthBoundingCoordinate\": 42.7004}]]","temporal":"2016-07-27/2016-09-13","theme":["Earth Science"],"title":"CMS: Tree Canopy Cover at 0.5-meter resolution, Vermont, 2016"},"description":"This dataset contains estimates of tree canopy cover presence at high resolution (0.5m) across the state of Vermont for 2016 in Cloud-Optimized GeoTIFF (*.tif) format. Tree canopy was derived from 2016 high-resolution remotely sensed data as part of the Vermont High-Resolution Land Cover mapping project. Object-based image analysis techniques (OBIA) were employed to extract potential tree canopy and trees using the best available remotely sensed and vector GIS datasets. OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to ensure that the end product is both accurate and cartographically pleasing. Following the automated OBIA mapping a detailed manual review of the dataset was carried out at a scale of 1:3000 and all observable errors were corrected. Tree canopy assessments have been conducted for numerous communities throughout the U.S. where the results have been instrumental in helping to establish tree canopy goals.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/9333dc4a-9fdc-4e7c-8213-8e9549760c4f","harvest_record_raw":"https://catalog.data.gov/harvest_record/9333dc4a-9fdc-4e7c-8213-8e9549760c4f/raw","has_download":true,"has_spatial":true,"identifier":"10.3334/ORNLDAAC/2072","keyword":["earth-science-ecosystems-biosphere-terrestrial-ecosystems","earth-science-vegetation-biosphere-canopy-characteristics"],"last_harvested_date":"2026-09-02T00:36:28.452326","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"ORNL_DAAC","slug":"cms-tree-canopy-cover-at-0-5-meter-resolution-vermont-2016","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"CMS: Tree Canopy Cover at 0.5-meter resolution, Vermont, 2016","type":"dataset"},{"_score":14.393461,"_sort":[1788309321146,14.393461,2,"2f001c66-53ca-44bd-bba2-cca4eb75abee"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"With modern computer power now capable of making mesoscale model output available in real time in the operational environment, increased attention has been given to utilizing these models in order to improve the forecasting ability of meteorologists. The National Centers for Environmental Prediction (NCEP) has developed a step-mountain eta coordinate model generally known as the ETA Model.This NCEP ETA data assimilation and prediction system (see Mesinger et al., 1988; Black, 1994) has been used by the South African Weather Bureau/Service (SAWS) to provide operational regional forecast guidance since November 1993. SAWS used this model to produce the basic meteorological data for the SAFARI project. The SAWS ETA model is a hydrostatic model with a horizontal grid spacing of approximately 48 km and 38 vertical levels, with layer depths that range from 20 m in the planetary boundary layer to 2 km at 50 mb. There have been several major ETA Model upgrades at SAWS: in March 1996, August 1998, November 1999, and August 2001.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C2788405580-ORNL_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://daac.ornl.gov/graphics/browse/project/square/safari_logo_square.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/protected/bundle/eta_model_723.zip","format":"ZIP","mediaType":"application/zip"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/safari2k/atmospheric/eta_model/comp/eta_model_readme.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.3334/ORNLDAAC/723","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C2788405580-ORNL_CLOUD","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.3334/ORNLDAAC/723","keyword":["earth-science-altitude-atmosphere-geopotential-height","earth-science-atmospheric-pressure-atmosphere-atmospheric-pressure-measurements","earth-science-atmospheric-temperature-atmosphere-surface-temperature","earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators","earth-science-atmospheric-winds-atmosphere-surface-winds","earth-science-atmospheric-winds-atmosphere-upper-level-winds","earth-science-clouds-atmosphere-cloud-properties","earth-science-precipitation-atmosphere-precipitation-amount"],"license":"https://www.usa.gov/government-works","modified":"2026-09-01","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"ORNL_DAAC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -13.0, \"NorthBoundingCoordinate\": -9.0, \"EastBoundingCoordinate\": 53.0, \"SouthBoundingCoordinate\": -53.0}]]","temporal":"2000-02-01/2000-09-30","theme":["Earth Science"],"title":"SAFARI 2000 ETA Atmospheric Model Data, Wet and Dry Seasons 2000"},"description":"With modern computer power now capable of making mesoscale model output available in real time in the operational environment, increased attention has been given to utilizing these models in order to improve the forecasting ability of meteorologists. The National Centers for Environmental Prediction (NCEP) has developed a step-mountain eta coordinate model generally known as the ETA Model.This NCEP ETA data assimilation and prediction system (see Mesinger et al., 1988; Black, 1994) has been used by the South African Weather Bureau/Service (SAWS) to provide operational regional forecast guidance since November 1993. SAWS used this model to produce the basic meteorological data for the SAFARI project. The SAWS ETA model is a hydrostatic model with a horizontal grid spacing of approximately 48 km and 38 vertical levels, with layer depths that range from 20 m in the planetary boundary layer to 2 km at 50 mb. There have been several major ETA Model upgrades at SAWS: in March 1996, August 1998, November 1999, and August 2001.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/0c501ddc-9c33-495b-8e2d-a5627b8e64c8","harvest_record_raw":"https://catalog.data.gov/harvest_record/0c501ddc-9c33-495b-8e2d-a5627b8e64c8/raw","has_download":true,"has_spatial":true,"identifier":"10.3334/ORNLDAAC/723","keyword":["earth-science-altitude-atmosphere-geopotential-height","earth-science-atmospheric-pressure-atmosphere-atmospheric-pressure-measurements","earth-science-atmospheric-temperature-atmosphere-surface-temperature","earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators","earth-science-atmospheric-winds-atmosphere-surface-winds","earth-science-atmospheric-winds-atmosphere-upper-level-winds","earth-science-clouds-atmosphere-cloud-properties","earth-science-precipitation-atmosphere-precipitation-amount"],"last_harvested_date":"2026-09-02T00:35:21.146286","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":2,"publisher":"ORNL_DAAC","slug":"safari-2000-eta-atmospheric-model-data-wet-and-dry-seasons-2000","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"SAFARI 2000 ETA Atmospheric Model Data, Wet and Dry Seasons 2000","type":"dataset"},{"_score":14.393461,"_sort":[1788309308808,14.393461,1,"08297840-bc07-46bb-92dc-318942c26a55"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The data set consists of southern Africa subset of the CPEP Global River Discharge Data Set. The Climate, People, and Environment Program (CPEP) global river discharge data set is a compilation of monthly mean discharge data for over 2600 sites worldwide. The data sources are RivDis 2.0, the United States Geological Survey, and Brazilian National Department of Water and Electrical Energy. The period of record is variable, from 3 years to greater than 100. The purpose of this compilation is to provide detailed hydrographic information to the climate research community in as general a format as possible. Data is provided in units of meters cubed per second (m**3/sec) in ASCII format. Data from stations with less than 3 years of information or with basin area less than 5000 km2 were excluded from this compilation. Therefore the original sources may have more sites available. No further documentation is available on this data set. Users should refer to the data originators for documentation. More information can be found at: ftp://daac.ornl.gov/data/safari2k/hydrology/river_discharge_cpep/comp/cpep_discharge.pdf.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C2788346165-ORNL_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://daac.ornl.gov/graphics/browse/project/square/safari_logo_square.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/protected/bundle/river_discharge_cpep_640.zip","format":"ZIP","mediaType":"application/zip"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/safari2k/hydrology/river_discharge_cpep/comp/0_readme.txt","format":"TXT","mediaType":"text/plain"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/safari2k/hydrology/river_discharge_cpep/comp/cpep_discharge_readme.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.3334/ORNLDAAC/640","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C2788346165-ORNL_CLOUD","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.3334/ORNLDAAC/640","keyword":["earth-science-surface-water-terrestrial-hydrosphere-surface-water-features","earth-science-surface-water-terrestrial-hydrosphere-surface-water-processes-measurements"],"license":"https://www.usa.gov/government-works","modified":"2026-09-01","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"ORNL_DAAC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": 5.0, \"NorthBoundingCoordinate\": 5.0, \"EastBoundingCoordinate\": 60.0, \"SouthBoundingCoordinate\": -35.0}]]","temporal":"1903-01-01/1999-12-31","theme":["Earth Science"],"title":"SAFARI 2000 River Discharge Data (Coe and Olejniczak)"},"description":"The data set consists of southern Africa subset of the CPEP Global River Discharge Data Set. The Climate, People, and Environment Program (CPEP) global river discharge data set is a compilation of monthly mean discharge data for over 2600 sites worldwide. The data sources are RivDis 2.0, the United States Geological Survey, and Brazilian National Department of Water and Electrical Energy. The period of record is variable, from 3 years to greater than 100. The purpose of this compilation is to provide detailed hydrographic information to the climate research community in as general a format as possible. Data is provided in units of meters cubed per second (m**3/sec) in ASCII format. Data from stations with less than 3 years of information or with basin area less than 5000 km2 were excluded from this compilation. Therefore the original sources may have more sites available. No further documentation is available on this data set. Users should refer to the data originators for documentation. More information can be found at: ftp://daac.ornl.gov/data/safari2k/hydrology/river_discharge_cpep/comp/cpep_discharge.pdf.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/3302e59b-a17d-4659-b193-0cf67bb29036","harvest_record_raw":"https://catalog.data.gov/harvest_record/3302e59b-a17d-4659-b193-0cf67bb29036/raw","has_download":true,"has_spatial":true,"identifier":"10.3334/ORNLDAAC/640","keyword":["earth-science-surface-water-terrestrial-hydrosphere-surface-water-features","earth-science-surface-water-terrestrial-hydrosphere-surface-water-processes-measurements"],"last_harvested_date":"2026-09-02T00:35:08.808009","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"ORNL_DAAC","slug":"safari-2000-river-discharge-data-coe-and-olejniczak","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"SAFARI 2000 River Discharge Data (Coe and Olejniczak)","type":"dataset"},{"_score":8.221207,"_sort":[1788309294566,8.221207,2,"d1df3d3c-069e-41ab-90d2-74d7ce0bb63d"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The Saildrone Arctic 2019 dataset presents a unique collection of high-quality, near real-time, multivariate surface ocean, and atmospheric observations obtained through the deployment of Saildrone, an innovative wind and solar-powered uncrewed surface vehicle (USV). Saildrone is capable of extended missions lasting up to 12 months, covering vast distances at typical speeds of 3-5 knots and operates autonomously, relying solely on wind propulsion, while its navigation can be remotely guided from land. The 2019 Saildrone Arctic campaign featured six Saildrone USVs (jointly funded by NOAA and NASA) deployed during a 150-day cruise in the Bering and Chukchi Seas, spanning from 14 May 2019 to 11 October 2019. The primary mission objective for 2019 was to gather comprehensive atmospheric and oceanographic data in Alaskan arctic waters, which could lead to significant improvements in modeling of diurnal warming and understanding of the marginal ice zones. Additionally, these new data will provide additional Arctic SST observations to benefit SST algorithm development and validation, and for studies of air- sea-ice interactions. Please see the cruise report: https://archive.podaac.earthdata.nasa.gov/podaac-ops-cumulus-docs/insitu/open/L2/saildrone/docs/Saildrone_2019_Arctic_Cruise_Report.pdf
\r\nDuring the Arctic campaign, NASA-funded Saildrones SD-1036 and SD-1037 undertook transects in the Chukchi Sea, approaching the sea ice edge to measure air-sea heat and momentum fluxes in the ocean near sea ice and to validate satellite sea-surface temperature measurements in the Arctic. Each Saildrone was equipped with a suite of instruments to measure various parameters, including air temperature, relative humidity, barometric pressure, surface skin temperature, wind speed and direction, wave height and period, seawater temperature and salinity, chlorophyll fluorescence, and dissolved oxygen. Additionally, both vehicles utilized 300 kHz acoustic Doppler current profilers (ADCP) to measure near-surface currents. Seven temperature data loggers positioned vertically along the hull enhanced understanding of thermal variability near the ocean surface.
\r\nThe Saildrone Arctic 2019 dataset, part of the Multi-sensor Improved Sea-Surface Temperature (MISST) project, encompasses three netCDF format files for each deployed Saildrone. The first file integrates saildrone platform telemetry and surface observational data at 1-minute temporal resolution including key parameters such as air temperature, sea surface skin, and bulk temperatures, salinity, oxygen and chlorophyll-a concentrations, barometric pressure, and wind speed and direction. The second file focuses on ADCP current vector data, providing depth-resolved information to 100m at 2m intervals and binned temporally at 5-minute resolution. The third file includes temperature logger measurements at various depths at 1-minute resolution. This project, funded by NASA through the National Ocean Partnership Program (NOPP), demonstrates a commitment to advancing scientific understanding of the Arctic environment through innovative and autonomous observational technologies.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C2491772160-POCLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"http://podaac.jpl.nasa.gov/saildrone","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://archive.podaac.earthdata.nasa.gov/podaac-ops-cumulus-docs/insitu/open/L2/saildrone/docs/Saildrone_2019_Arctic_Cruise_Report.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://cmr.earthdata.nasa.gov/virtual-directory/collections/C2491772160-POCLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://github.com/podaac/data-readers","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://github.com/podaac/data-subscriber","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://opendap.earthdata.nasa.gov","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://podaac.jpl.nasa.gov/CitingPODAAC","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://podaac.jpl.nasa.gov/Podaac/thumbnails/SAILDRONE_ARCTIC.jpg","format":"JPEG","mediaType":"image/jpeg"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C2491772160-POCLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.saildrone.com/","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/SDRON-NOPP0","keyword":["earth-science-atmospheric-pressure-atmosphere-sea-level-pressure","earth-science-atmospheric-temperature-atmosphere-surface-temperature","earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators","earth-science-atmospheric-winds-atmosphere-surface-winds","earth-science-ocean-chemistry-oceans-oxygen","earth-science-ocean-circulation-oceans-ocean-currents","earth-science-ocean-optics-oceans-chlorophyll","earth-science-ocean-optics-oceans-fluorescence","earth-science-ocean-optics-oceans-photosynthetically-active-radiation","earth-science-ocean-temperature-oceans-sea-surface-temperature","earth-science-ocean-temperature-oceans-temperature-profiles","earth-science-ocean-waves-oceans-wave-height","earth-science-ocean-waves-oceans-wave-period","earth-science-ocean-winds-oceans-surface-winds","earth-science-salinity-density-oceans-conductivity","earth-science-salinity-density-oceans-salinity"],"license":"https://www.usa.gov/government-works","modified":"2026-09-01","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/JPL/PODAAC;Saildrone"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -168.7, \"SouthBoundingCoordinate\": 53.8, \"EastBoundingCoordinate\": -146.1, \"NorthBoundingCoordinate\": 75.5}]]","temporal":"2019-05-14/2019-10-11","theme":["Earth Science"],"title":"Saildrone Arctic field campaign surface and ADCP measurements for NOPP-MISST project"},"description":"The Saildrone Arctic 2019 dataset presents a unique collection of high-quality, near real-time, multivariate surface ocean, and atmospheric observations obtained through the deployment of Saildrone, an innovative wind and solar-powered uncrewed surface vehicle (USV). Saildrone is capable of extended missions lasting up to 12 months, covering vast distances at typical speeds of 3-5 knots and operates autonomously, relying solely on wind propulsion, while its navigation can be remotely guided from land. The 2019 Saildrone Arctic campaign featured six Saildrone USVs (jointly funded by NOAA and NASA) deployed during a 150-day cruise in the Bering and Chukchi Seas, spanning from 14 May 2019 to 11 October 2019. The primary mission objective for 2019 was to gather comprehensive atmospheric and oceanographic data in Alaskan arctic waters, which could lead to significant improvements in modeling of diurnal warming and understanding of the marginal ice zones. Additionally, these new data will provide additional Arctic SST observations to benefit SST algorithm development and validation, and for studies of air- sea-ice interactions. Please see the cruise report: https://archive.podaac.earthdata.nasa.gov/podaac-ops-cumulus-docs/insitu/open/L2/saildrone/docs/Saildrone_2019_Arctic_Cruise_Report.pdf
\r\nDuring the Arctic campaign, NASA-funded Saildrones SD-1036 and SD-1037 undertook transects in the Chukchi Sea, approaching the sea ice edge to measure air-sea heat and momentum fluxes in the ocean near sea ice and to validate satellite sea-surface temperature measurements in the Arctic. Each Saildrone was equipped with a suite of instruments to measure various parameters, including air temperature, relative humidity, barometric pressure, surface skin temperature, wind speed and direction, wave height and period, seawater temperature and salinity, chlorophyll fluorescence, and dissolved oxygen. Additionally, both vehicles utilized 300 kHz acoustic Doppler current profilers (ADCP) to measure near-surface currents. Seven temperature data loggers positioned vertically along the hull enhanced understanding of thermal variability near the ocean surface.
\r\nThe Saildrone Arctic 2019 dataset, part of the Multi-sensor Improved Sea-Surface Temperature (MISST) project, encompasses three netCDF format files for each deployed Saildrone. The first file integrates saildrone platform telemetry and surface observational data at 1-minute temporal resolution including key parameters such as air temperature, sea surface skin, and bulk temperatures, salinity, oxygen and chlorophyll-a concentrations, barometric pressure, and wind speed and direction. The second file focuses on ADCP current vector data, providing depth-resolved information to 100m at 2m intervals and binned temporally at 5-minute resolution. The third file includes temperature logger measurements at various depths at 1-minute resolution. This project, funded by NASA through the National Ocean Partnership Program (NOPP), demonstrates a commitment to advancing scientific understanding of the Arctic environment through innovative and autonomous observational technologies.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/2a56b40c-27d0-4c51-84ff-e4f19ab8fcea","harvest_record_raw":"https://catalog.data.gov/harvest_record/2a56b40c-27d0-4c51-84ff-e4f19ab8fcea/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/SDRON-NOPP0","keyword":["earth-science-atmospheric-pressure-atmosphere-sea-level-pressure","earth-science-atmospheric-temperature-atmosphere-surface-temperature","earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators","earth-science-atmospheric-winds-atmosphere-surface-winds","earth-science-ocean-chemistry-oceans-oxygen","earth-science-ocean-circulation-oceans-ocean-currents","earth-science-ocean-optics-oceans-chlorophyll","earth-science-ocean-optics-oceans-fluorescence","earth-science-ocean-optics-oceans-photosynthetically-active-radiation","earth-science-ocean-temperature-oceans-sea-surface-temperature","earth-science-ocean-temperature-oceans-temperature-profiles","earth-science-ocean-waves-oceans-wave-height","earth-science-ocean-waves-oceans-wave-period","earth-science-ocean-winds-oceans-surface-winds","earth-science-salinity-density-oceans-conductivity","earth-science-salinity-density-oceans-salinity"],"last_harvested_date":"2026-09-02T00:34:54.566222","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":2,"publisher":"NASA/JPL/PODAAC;Saildrone","slug":"saildrone-arctic-field-campaign-surface-and-adcp-measurements-for-nopp-misst-project","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"Saildrone Arctic field campaign surface and ADCP measurements for NOPP-MISST project","type":"dataset"},{"_score":11.52408,"_sort":[1788309291126,11.52408,3,"cbcaa41c-f5ba-4d46-9834-f0e1ba8310e7"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"Biogenic volatile organic compounds (VOCs) comprise a significant proportion of trace gases in the atmospheric environment and play an important role in the formation of secondary air pollutants. Emissions of monoterpenes from vegetation were studied at adjacent sites in Botswana as part of the SAFARI 2000 (Southern African Regional Science Initiative). Using a LI-COR leaf cuvette, VOC emissions were measured from the dominant tree species (Colophospermum mopane) and other vegetation near Maun, Botswana. The aims of this work were to: (1) determine the VOC emission potential of C. mopane; (2) investigate any differences in VOC emission potential between the tall and short C. mopane morphology types; (3) investigate environmental controls of VOC emissions from C. mopane; and (4) screen other non-dominant vegetation for high VOC emission potential. The data are contained in an ASCII text file (maun_leaf-level_voc.csv) in comma-delimited format with column headers. The data file contains leaf-level VOC emission rates for C. mopane and other plant species growing near Maun, Botswana recorded under different types of experiments associated with the measurements (e.g., preliminary light dependency, emission potential, tall/short and water potential, light dependency, screening). In addition, the data file contains physical measurements, such as leaf area and dry biomass, which are used in calculating leaf-level emissions rates. Environmental parameters in the leaf cuvette (PAR, temperature, relative humidity, and CO2 concentration) are also recorded. All measurements were made during the wet season campaign (February) of 2001.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C2789045395-ORNL_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://daac.ornl.gov/graphics/browse/project/square/safari_logo_square.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/protected/bundle/leaf_voc_emissions_763.zip","format":"ZIP","mediaType":"application/zip"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/safari2k/field_campaign/leaf_voc_emissions/comp/leaf_voc_emissions_readme.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.3334/ORNLDAAC/763","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C2789045395-ORNL_CLOUD","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.3334/ORNLDAAC/763","keyword":["earth-science-air-quality-atmosphere-volatile-organic-compounds","earth-science-atmospheric-pressure-atmosphere-atmospheric-pressure-measurements","earth-science-vegetation-biosphere-biomass","earth-science-vegetation-biosphere-leaf-characteristics","earth-science-vegetation-biosphere-photosynthetically-active-radiation"],"license":"https://www.usa.gov/government-works","modified":"2026-09-01","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"ORNL_DAAC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": 23.55, \"NorthBoundingCoordinate\": -19.9, \"EastBoundingCoordinate\": 23.55, \"SouthBoundingCoordinate\": -19.9}]]","temporal":"2001-02-03/2001-02-16","theme":["Earth Science"],"title":"SAFARI 2000 Leaf-Level VOC Emissions, Maun, Botswana, Wet Season 2001"},"description":"Biogenic volatile organic compounds (VOCs) comprise a significant proportion of trace gases in the atmospheric environment and play an important role in the formation of secondary air pollutants. Emissions of monoterpenes from vegetation were studied at adjacent sites in Botswana as part of the SAFARI 2000 (Southern African Regional Science Initiative). Using a LI-COR leaf cuvette, VOC emissions were measured from the dominant tree species (Colophospermum mopane) and other vegetation near Maun, Botswana. The aims of this work were to: (1) determine the VOC emission potential of C. mopane; (2) investigate any differences in VOC emission potential between the tall and short C. mopane morphology types; (3) investigate environmental controls of VOC emissions from C. mopane; and (4) screen other non-dominant vegetation for high VOC emission potential. The data are contained in an ASCII text file (maun_leaf-level_voc.csv) in comma-delimited format with column headers. The data file contains leaf-level VOC emission rates for C. mopane and other plant species growing near Maun, Botswana recorded under different types of experiments associated with the measurements (e.g., preliminary light dependency, emission potential, tall/short and water potential, light dependency, screening). In addition, the data file contains physical measurements, such as leaf area and dry biomass, which are used in calculating leaf-level emissions rates. Environmental parameters in the leaf cuvette (PAR, temperature, relative humidity, and CO2 concentration) are also recorded. All measurements were made during the wet season campaign (February) of 2001.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/e1eb28bc-ddd4-44b0-aa02-13f1e09bb084","harvest_record_raw":"https://catalog.data.gov/harvest_record/e1eb28bc-ddd4-44b0-aa02-13f1e09bb084/raw","has_download":true,"has_spatial":true,"identifier":"10.3334/ORNLDAAC/763","keyword":["earth-science-air-quality-atmosphere-volatile-organic-compounds","earth-science-atmospheric-pressure-atmosphere-atmospheric-pressure-measurements","earth-science-vegetation-biosphere-biomass","earth-science-vegetation-biosphere-leaf-characteristics","earth-science-vegetation-biosphere-photosynthetically-active-radiation"],"last_harvested_date":"2026-09-02T00:34:51.126165","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":3,"publisher":"ORNL_DAAC","slug":"safari-2000-leaf-level-voc-emissions-maun-botswana-wet-season-2001","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"SAFARI 2000 Leaf-Level VOC Emissions, Maun, Botswana, Wet Season 2001","type":"dataset"},{"_score":13.571465,"_sort":[1788309290728,13.571465,2,"9a53f275-2ffe-4f2f-abc0-c87707137864"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"MISR (Multi-angle Imaging SpectroRadiometer) views the sunlit Earth simultaneously at nine widely spaced and collects global images with high spatial detail in four colors at every angle. These images are carefully calibrated to provide accurate measures of the brightness, contrast, and color of reflected sunlight. The change in reflection at different view angles affords the means to distinguish different types of atmospheric particles (aerosols), cloud forms, and land surface covers. Combined with stereoscopic techniques, this enables construction of 3-dimensional models and more accurate estimates of the total amount of sunlight reflected by Earth's diverse environments.MISR was built for NASA by the Jet Propulsion Laboratory. It is part of NASA's Terra spacecraft, launched into a polar orbit around the Earth on December 18, 1999.The Southern African Fire Atmosphere Research Initiative (SAFARI) 2000 field campaign focused on the smoke and gases released into the environment of southern Africa by industrial, biological, and man-made sources such as biomass burning. The area of study and MISR path numbers include Botswana, Lesotho, Malawi, Mozambique, Namibia, South Africa, Swaziland, Zambia, and Zimbabwe. These MISR data cover the period August 12 through September 28, 2000.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C2788357139-ORNL_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://daac.ornl.gov/graphics/browse/project/square/safari_logo_square.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/protected/bundle/MISR_885.zip","format":"ZIP","mediaType":"application/zip"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/safari2k/remote_sensing/MISR/comp/DPS_RevE.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/safari2k/remote_sensing/MISR/comp/DPS_v214.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/safari2k/remote_sensing/MISR/comp/DPS_v32_RevL.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/safari2k/remote_sensing/MISR/comp/DPS_v40_RevN.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/safari2k/remote_sensing/MISR/comp/MISR_Quality_Summaries_Reformatted_Products.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/safari2k/remote_sensing/MISR/comp/S2K_MISR_guide.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.3334/ORNLDAAC/885","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C2788357139-ORNL_CLOUD","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.3334/ORNLDAAC/885","keyword":["earth-science-surface-radiative-properties-land-surface-reflectance"],"license":"https://www.usa.gov/government-works","modified":"2026-09-01","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"ORNL_DAAC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": 9.08, \"NorthBoundingCoordinate\": -15.0, \"EastBoundingCoordinate\": 31.49, \"SouthBoundingCoordinate\": -35.0}]]","temporal":"2000-08-12/2000-09-28","theme":["Earth Science"],"title":"SAFARI 2000 MISR Level 2 Data, Southern Africa, Dry Season 2000"},"description":"MISR (Multi-angle Imaging SpectroRadiometer) views the sunlit Earth simultaneously at nine widely spaced and collects global images with high spatial detail in four colors at every angle. These images are carefully calibrated to provide accurate measures of the brightness, contrast, and color of reflected sunlight. The change in reflection at different view angles affords the means to distinguish different types of atmospheric particles (aerosols), cloud forms, and land surface covers. Combined with stereoscopic techniques, this enables construction of 3-dimensional models and more accurate estimates of the total amount of sunlight reflected by Earth's diverse environments.MISR was built for NASA by the Jet Propulsion Laboratory. It is part of NASA's Terra spacecraft, launched into a polar orbit around the Earth on December 18, 1999.The Southern African Fire Atmosphere Research Initiative (SAFARI) 2000 field campaign focused on the smoke and gases released into the environment of southern Africa by industrial, biological, and man-made sources such as biomass burning. The area of study and MISR path numbers include Botswana, Lesotho, Malawi, Mozambique, Namibia, South Africa, Swaziland, Zambia, and Zimbabwe. These MISR data cover the period August 12 through September 28, 2000.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/7bdc04e3-cb4c-4db0-88f9-8749b291abbc","harvest_record_raw":"https://catalog.data.gov/harvest_record/7bdc04e3-cb4c-4db0-88f9-8749b291abbc/raw","has_download":true,"has_spatial":true,"identifier":"10.3334/ORNLDAAC/885","keyword":["earth-science-surface-radiative-properties-land-surface-reflectance"],"last_harvested_date":"2026-09-02T00:34:50.728879","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":2,"publisher":"ORNL_DAAC","slug":"safari-2000-misr-level-2-data-southern-africa-dry-season-2000","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"SAFARI 2000 MISR Level 2 Data, Southern Africa, Dry Season 2000","type":"dataset"},{"_score":12.356403,"_sort":[1788309287688,12.356403,1,"29637b7d-33e4-4e59-b99a-42432c998cf0"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"A physically-based model, Energy: Surface Towards Atmosphere (ESTA), was used to model and map the energy and water balances of a heterogeneous land surface in a savanna environment on the southern fringe of the Okavango Delta, near Maun, Botswana. ESTA is governed by remotely sensed values of surface temperature, reflection, and vegetation density.Surface reflectance data from the MODIS sensor aboard the Terra satellite were obtained for the Okavango Delta region for September of 2001. Use was made of the visible, near infrared, and thermal bands of MOD09, a configuration that allows discrimination of broad-band surface albedo, vegetation indices, and surface temperature. A crude land cover classification image was created to provide vegetation canopy heights for the estimation of aerodynamic resistance. The original spatial resolution of the visible and near infrared imagery of 250 and 500 meters, respectively, was reduced to 1 km to be compatible with the resolution of the thermal imagery. Input to the model also includes near-surface meteorological observations from the Maun flux tower.Net radiometer data from the Maun station were used for crude atmospheric corrections and for validating net radiation estimates. Soil heat flux plates, also in place at the tower site, in combination with an eddy-correlation system, were used to validate the model output for soil and turbulent heat fluxes. This data set consists of 3 separate gridded binary image files representing daily evapotranspiration (mm/day) for the Okavango Delta region for September 2, September 13, and September 29, 2001.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C2789043651-ORNL_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://daac.ornl.gov/graphics/browse/project/square/safari_logo_square.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/protected/bundle/modis_h2o_heat_flux_762.zip","format":"ZIP","mediaType":"application/zip"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/safari2k/remote_sensing/modis_h2o_heat_flux/comp/modis_h2o_heat_flux_readme.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.3334/ORNLDAAC/762","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C2789043651-ORNL_CLOUD","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.3334/ORNLDAAC/762","keyword":["earth-science-atmospheric-pressure-atmosphere-atmospheric-pressure-measurements","earth-science-atmospheric-radiation-atmosphere-heat-flux","earth-science-atmospheric-radiation-atmosphere-longwave-radiation","earth-science-atmospheric-radiation-atmosphere-net-radiation","earth-science-atmospheric-radiation-atmosphere-outgoing-longwave-radiation","earth-science-atmospheric-radiation-atmosphere-scattering","earth-science-atmospheric-radiation-atmosphere-shortwave-radiation","earth-science-atmospheric-radiation-atmosphere-solar-radiation","earth-science-atmospheric-temperature-atmosphere-surface-temperature","earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators","earth-science-atmospheric-water-vapor-atmosphere-water-vapor-processes","earth-science-atmospheric-winds-atmosphere-surface-winds","earth-science-ecosystems-biosphere-aquatic-ecosystems","earth-science-ecosystems-biosphere-terrestrial-ecosystems","earth-science-land-use-land-cover-land-surface-land-use-land-cover-classification","earth-science-soils-land-surface-soil-heat-budget","earth-science-soils-land-surface-soil-temperature","earth-science-surface-radiative-properties-land-surface-albedo","earth-science-surface-radiative-properties-land-surface-reflectance","earth-science-surface-thermal-properties-land-surface-land-surface-temperature","earth-science-vegetation-biosphere-canopy-characteristics","earth-science-vegetation-biosphere-vegetation-cover","earth-science-vegetation-biosphere-vegetation-index"],"license":"https://www.usa.gov/government-works","modified":"2026-09-01","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"ORNL_DAAC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": 21.4946, \"NorthBoundingCoordinate\": -17.9946, \"EastBoundingCoordinate\": 24.5004, \"SouthBoundingCoordinate\": -21.0004}]]","temporal":"2001-09-02/2001-09-29","theme":["Earth Science"],"title":"SAFARI 2000 MODIS Water and Heat Fluxes, Maun, Botswana, Dry Season 2001"},"description":"A physically-based model, Energy: Surface Towards Atmosphere (ESTA), was used to model and map the energy and water balances of a heterogeneous land surface in a savanna environment on the southern fringe of the Okavango Delta, near Maun, Botswana. ESTA is governed by remotely sensed values of surface temperature, reflection, and vegetation density.Surface reflectance data from the MODIS sensor aboard the Terra satellite were obtained for the Okavango Delta region for September of 2001. Use was made of the visible, near infrared, and thermal bands of MOD09, a configuration that allows discrimination of broad-band surface albedo, vegetation indices, and surface temperature. A crude land cover classification image was created to provide vegetation canopy heights for the estimation of aerodynamic resistance. The original spatial resolution of the visible and near infrared imagery of 250 and 500 meters, respectively, was reduced to 1 km to be compatible with the resolution of the thermal imagery. Input to the model also includes near-surface meteorological observations from the Maun flux tower.Net radiometer data from the Maun station were used for crude atmospheric corrections and for validating net radiation estimates. Soil heat flux plates, also in place at the tower site, in combination with an eddy-correlation system, were used to validate the model output for soil and turbulent heat fluxes. This data set consists of 3 separate gridded binary image files representing daily evapotranspiration (mm/day) for the Okavango Delta region for September 2, September 13, and September 29, 2001.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/d705049f-eb38-40cf-97d8-fad6c87d2680","harvest_record_raw":"https://catalog.data.gov/harvest_record/d705049f-eb38-40cf-97d8-fad6c87d2680/raw","has_download":true,"has_spatial":true,"identifier":"10.3334/ORNLDAAC/762","keyword":["earth-science-atmospheric-pressure-atmosphere-atmospheric-pressure-measurements","earth-science-atmospheric-radiation-atmosphere-heat-flux","earth-science-atmospheric-radiation-atmosphere-longwave-radiation","earth-science-atmospheric-radiation-atmosphere-net-radiation","earth-science-atmospheric-radiation-atmosphere-outgoing-longwave-radiation","earth-science-atmospheric-radiation-atmosphere-scattering","earth-science-atmospheric-radiation-atmosphere-shortwave-radiation","earth-science-atmospheric-radiation-atmosphere-solar-radiation","earth-science-atmospheric-temperature-atmosphere-surface-temperature","earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators","earth-science-atmospheric-water-vapor-atmosphere-water-vapor-processes","earth-science-atmospheric-winds-atmosphere-surface-winds","earth-science-ecosystems-biosphere-aquatic-ecosystems","earth-science-ecosystems-biosphere-terrestrial-ecosystems","earth-science-land-use-land-cover-land-surface-land-use-land-cover-classification","earth-science-soils-land-surface-soil-heat-budget","earth-science-soils-land-surface-soil-temperature","earth-science-surface-radiative-properties-land-surface-albedo","earth-science-surface-radiative-properties-land-surface-reflectance","earth-science-surface-thermal-properties-land-surface-land-surface-temperature","earth-science-vegetation-biosphere-canopy-characteristics","earth-science-vegetation-biosphere-vegetation-cover","earth-science-vegetation-biosphere-vegetation-index"],"last_harvested_date":"2026-09-02T00:34:47.688085","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"ORNL_DAAC","slug":"safari-2000-modis-water-and-heat-fluxes-maun-botswana-dry-season-2001","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"SAFARI 2000 MODIS Water and Heat Fluxes, Maun, Botswana, Dry Season 2001","type":"dataset"},{"_score":16.261364,"_sort":[1788309194387,16.261364,1,"c526b722-e018-4bd3-baa1-48cea0f1c6aa"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The Kangiqtugaapik (Clyde River), Nunavut, Canada, Weather Station Network is a collection of weather station data from the locations of Akuliaqattak, Silasiutitalik, and Ailaktalik in the Clyde River area. Data collection for the Silalirijiit project began in June 2010 and is ongoing. An online interface shows the current conditions at these locations. Weather data from the Kangiqtugaapik Airport Station, collected by Environment Canada, are also provided. The data will be archived at NSIDC in the future; at this time, the site displays current conditions. \n\nThis data set is part of the Silalirijiit Project and is funded by a National Science Foundation grant (ARC-0753854) entitled IPY: Collaborative Research: Linking Inuit Knowledge and Local-Scale Environmental Modeling to Evaluate the Impacts of Changing Weather on Human Activities at Clyde River, Nunavut.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C1386246170-NSIDCV0.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.7265/N56M34RD","format":"HTML","mediaType":"text/html"}],"identifier":"10.7265/N56M34RD","keyword":["earth-science-atmospheric-pressure-atmosphere-pressure-tendency","earth-science-atmospheric-pressure-atmosphere-surface-pressure","earth-science-atmospheric-radiation-atmosphere-incoming-solar-radiation","earth-science-atmospheric-radiation-atmosphere-outgoing-longwave-radiation","earth-science-atmospheric-radiation-atmosphere-solar-radiation","earth-science-atmospheric-temperature-atmosphere-surface-temperature","earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators","earth-science-atmospheric-winds-atmosphere-surface-winds","earth-science-clouds-atmosphere-cloud-properties","earth-science-frozen-ground-cryosphere-soil-temperature","earth-science-soils-land-surface-soil-temperature"],"license":"https://www.usa.gov/government-works","modified":"2026-09-01","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NSIDC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -70.52007, \"NorthBoundingCoordinate\": 70.843889, \"EastBoundingCoordinate\": -68.15668, \"SouthBoundingCoordinate\": 69.84673}, {\"WestBoundingCoordinate\": -70.52, \"NorthBoundingCoordinate\": 69.846667, \"EastBoundingCoordinate\": -70.52, \"SouthBoundingCoordinate\": 69.846667}, {\"WestBoundingCoordinate\": -68.156667, \"NorthBoundingCoordinate\": 70.313889, \"EastBoundingCoordinate\": -68.156667, \"SouthBoundingCoordinate\": 70.313889}, {\"WestBoundingCoordinate\": -69.864167, \"NorthBoundingCoordinate\": 70.843889, \"EastBoundingCoordinate\": -69.864167, \"SouthBoundingCoordinate\": 70.843889}]]","temporal":"2010-06-03/2010-06-03","theme":["Earth Science"],"title":"Silalirijiit Project: Kangiqtugaapik (Clyde River), Nunavut, Canada, Weather Station Network, Version 1"},"description":"The Kangiqtugaapik (Clyde River), Nunavut, Canada, Weather Station Network is a collection of weather station data from the locations of Akuliaqattak, Silasiutitalik, and Ailaktalik in the Clyde River area. Data collection for the Silalirijiit project began in June 2010 and is ongoing. An online interface shows the current conditions at these locations. Weather data from the Kangiqtugaapik Airport Station, collected by Environment Canada, are also provided. The data will be archived at NSIDC in the future; at this time, the site displays current conditions. \n\nThis data set is part of the Silalirijiit Project and is funded by a National Science Foundation grant (ARC-0753854) entitled IPY: Collaborative Research: Linking Inuit Knowledge and Local-Scale Environmental Modeling to Evaluate the Impacts of Changing Weather on Human Activities at Clyde River, Nunavut.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/0244a1dc-a383-4308-8503-868333219b8e","harvest_record_raw":"https://catalog.data.gov/harvest_record/0244a1dc-a383-4308-8503-868333219b8e/raw","has_download":true,"has_spatial":true,"identifier":"10.7265/N56M34RD","keyword":["earth-science-atmospheric-pressure-atmosphere-pressure-tendency","earth-science-atmospheric-pressure-atmosphere-surface-pressure","earth-science-atmospheric-radiation-atmosphere-incoming-solar-radiation","earth-science-atmospheric-radiation-atmosphere-outgoing-longwave-radiation","earth-science-atmospheric-radiation-atmosphere-solar-radiation","earth-science-atmospheric-temperature-atmosphere-surface-temperature","earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators","earth-science-atmospheric-winds-atmosphere-surface-winds","earth-science-clouds-atmosphere-cloud-properties","earth-science-frozen-ground-cryosphere-soil-temperature","earth-science-soils-land-surface-soil-temperature"],"last_harvested_date":"2026-09-02T00:33:14.387727","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"NSIDC","slug":"silalirijiit-project-kangiqtugaapik-clyde-river-nunavut-canada-weather-station-network-ver","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"Silalirijiit Project: Kangiqtugaapik (Clyde River), Nunavut, Canada, Weather Station Network, Version 1","type":"dataset"},{"_score":16.01716,"_sort":[1788309136002,16.01716,1,"53022588-b232-4623-b23b-2d08911071fa"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"Daily maximum and minimum temperatures for 25 stations around the Great Lakes, 1897 to 1983, were given to NSIDC by the NOAA Great Lakes Environmental Research Laboratory (GLERL), Ann Arbor, MI. Daily data can be used to produce daily maximum, minimum, and mean temperatures, and seasonal accumulations of freezing and thawing degree days. The statistical data are archived in ASCII text files transcribed from 25 reels of 35 mm microfilm, one roll per station. Microfilm rolls are the appendices to Assel (1980), with updates covering 1978 to 1983 spliced to the end of each microfilm roll. Data sources include U.S. Department of Commerce summaries of meteorological data for Minnesota, Michigan, Wisconsin, Illinois, Pennsylvania, and New York, and the monthly meteorological observations published by Environment Canada.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C1386206475-NSIDCV0.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.7265/N5VD6WCJ","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://dx.doi.org/10.7265/N5VD6WCJ","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://noaadata.apps.nsidc.org/NOAA/G00801/","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.7265/N5VD6WCJ","keyword":["earth-science-atmospheric-temperature-atmosphere-atmospheric-temperature-indices","earth-science-atmospheric-temperature-atmosphere-surface-temperature"],"license":"https://www.usa.gov/government-works","modified":"2026-09-01","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NSIDC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -93.0, \"NorthBoundingCoordinate\": 49.0, \"EastBoundingCoordinate\": -76.0, \"SouthBoundingCoordinate\": 41.0}]]","temporal":"1897-01-01/1983-12-31","theme":["Earth Science"],"title":"GLERL Great Lakes Air Temperature/Degree Day Climatology, 1897-1983, Version 1"},"description":"Daily maximum and minimum temperatures for 25 stations around the Great Lakes, 1897 to 1983, were given to NSIDC by the NOAA Great Lakes Environmental Research Laboratory (GLERL), Ann Arbor, MI. Daily data can be used to produce daily maximum, minimum, and mean temperatures, and seasonal accumulations of freezing and thawing degree days. The statistical data are archived in ASCII text files transcribed from 25 reels of 35 mm microfilm, one roll per station. Microfilm rolls are the appendices to Assel (1980), with updates covering 1978 to 1983 spliced to the end of each microfilm roll. Data sources include U.S. Department of Commerce summaries of meteorological data for Minnesota, Michigan, Wisconsin, Illinois, Pennsylvania, and New York, and the monthly meteorological observations published by Environment Canada.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/b32766c7-1012-4505-81ec-0c4675c672c6","harvest_record_raw":"https://catalog.data.gov/harvest_record/b32766c7-1012-4505-81ec-0c4675c672c6/raw","has_download":true,"has_spatial":true,"identifier":"10.7265/N5VD6WCJ","keyword":["earth-science-atmospheric-temperature-atmosphere-atmospheric-temperature-indices","earth-science-atmospheric-temperature-atmosphere-surface-temperature"],"last_harvested_date":"2026-09-02T00:32:16.002849","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"NSIDC","slug":"glerl-great-lakes-air-temperature-degree-day-climatology-1897-1983-version-1","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"GLERL Great Lakes Air Temperature/Degree Day Climatology, 1897-1983, Version 1","type":"dataset"},{"_score":19.360764,"_sort":[1788309131910,19.360764,1,"452458e8-feaa-45ff-8368-92c6ce0ba99f"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"This data set contains gravity measurements taken over Antarctica using the BGM-3 Gravimeter instrument. The data were collected by scientists working on the Investigating the Cryospheric Evolution of the Central Antarctic Plate (ICECAP) project, which is funded by the National Science Foundation (NSF) and the Natural Environment Research Council (NERC), with additional support from NASA Operation IceBridge.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C3274449168-LPCLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://data.lpdaac.earthdatacloud.nasa.gov/lp-prod-public/CAM5K30CFCLIM.003/CAM5K30CFCLIM_coef_climatology_03Month_V003/CAM5K30CFCLIM_coef_climatology_03Month_V003.jpg","format":"JPEG","mediaType":"image/jpeg"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/MEaSUREs/LSTE/CAM5K30CFCLIM.003","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://lpdaac.usgs.gov/documents/2233/MATLAB_Source_Code.tar.gz","format":"GZ","mediaType":"application/gzip"},{"@type":"dcat:Distribution","downloadURL":"https://lpdaac.usgs.gov/documents/2234/FORTRAN_Source_Code.tar.gz","format":"GZ","mediaType":"application/gzip"},{"@type":"dcat:Distribution","downloadURL":"https://lpdaac.usgs.gov/documents/2335/CAMEL_CLIM_V3_UG_ATBD_V1.4.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C3274449168-LPCLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.earthdata.nasa.gov/centers/lp-daac","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/661RV8R0JSJU","keyword":["earth-science-gravity-gravitational-field-solid-earth-gravity"],"license":"https://www.usa.gov/government-works","modified":"2026-09-01","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA NSIDC DAAC;UTX-AUSTIN/IG"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -180.0, \"NorthBoundingCoordinate\": -53.0, \"EastBoundingCoordinate\": 180.0, \"SouthBoundingCoordinate\": -90.0}]]","temporal":"2009-01-01/2010-12-18","theme":["Earth Science"],"title":"IceBridge BGM-3 Gravimeter L0 Raw Accelerations, Version 1"},"description":"This data set contains gravity measurements taken over Antarctica using the BGM-3 Gravimeter instrument. The data were collected by scientists working on the Investigating the Cryospheric Evolution of the Central Antarctic Plate (ICECAP) project, which is funded by the National Science Foundation (NSF) and the Natural Environment Research Council (NERC), with additional support from NASA Operation IceBridge.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/f8af5ba0-1e1e-4a3e-a67d-df5ab2a91764","harvest_record_raw":"https://catalog.data.gov/harvest_record/f8af5ba0-1e1e-4a3e-a67d-df5ab2a91764/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/661RV8R0JSJU","keyword":["earth-science-gravity-gravitational-field-solid-earth-gravity"],"last_harvested_date":"2026-09-02T00:32:11.910217","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"NASA NSIDC DAAC;UTX-AUSTIN/IG","slug":"icebridge-bgm-3-gravimeter-l0-raw-accelerations-version-1","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"IceBridge BGM-3 Gravimeter L0 Raw Accelerations, Version 1","type":"dataset"},{"_score":17.977028,"_sort":[1788309131583,17.977028,1,"ac296986-ecaf-4a7c-8232-8bef3df6ce01"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"This data set contains GPS readings over Antarctica using the Trimble Trimflite differential GPS Navigation System. The readings include latitude, longitude, track, ground speed, off-distance, Positional Dilution of Precision (PDOP), GPS height, easting, northing, and time taken. The data were collected by scientists working on the Investigating the Cryospheric Evolution of the Central Antarctic Plate (ICECAP) project, which is funded by the National Science Foundation (NSF) and the Natural Environment Research Council (NERC), with additional support from NASA Operation IceBridge.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C1386246597-NSIDCV0.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://daacdata.apps.nsidc.org/pub/DATASETS/ICEBRIDGE/IPUTG0_UTIGGPSraw_v01/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/HMSJ0LP25M47","format":"HTML","mediaType":"text/html"}],"identifier":"10.5067/HMSJ0LP25M47","keyword":["earth-science-platform-characteristics-spectral-engineering-airspeed-ground-speed","earth-science-platform-characteristics-spectral-engineering-attitude-characteristics","earth-science-platform-characteristics-spectral-engineering-data-synchronization-time"],"license":"https://www.usa.gov/government-works","modified":"2026-09-01","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA NSIDC DAAC;UTX-AUSTIN/IG"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -180.0, \"NorthBoundingCoordinate\": -53.0, \"EastBoundingCoordinate\": 180.0, \"SouthBoundingCoordinate\": -90.0}]]","temporal":"2009-11-08/2010-12-30","theme":["Earth Science"],"title":"IceBridge GPS L0 Raw Satellite Navigation Data, Version 1"},"description":"This data set contains GPS readings over Antarctica using the Trimble Trimflite differential GPS Navigation System. The readings include latitude, longitude, track, ground speed, off-distance, Positional Dilution of Precision (PDOP), GPS height, easting, northing, and time taken. The data were collected by scientists working on the Investigating the Cryospheric Evolution of the Central Antarctic Plate (ICECAP) project, which is funded by the National Science Foundation (NSF) and the Natural Environment Research Council (NERC), with additional support from NASA Operation IceBridge.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/f1d1157d-b3bc-4a05-bff0-4264496d111c","harvest_record_raw":"https://catalog.data.gov/harvest_record/f1d1157d-b3bc-4a05-bff0-4264496d111c/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/HMSJ0LP25M47","keyword":["earth-science-platform-characteristics-spectral-engineering-airspeed-ground-speed","earth-science-platform-characteristics-spectral-engineering-attitude-characteristics","earth-science-platform-characteristics-spectral-engineering-data-synchronization-time"],"last_harvested_date":"2026-09-02T00:32:11.583864","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"NASA NSIDC DAAC;UTX-AUSTIN/IG","slug":"icebridge-gps-l0-raw-satellite-navigation-data-version-1","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"IceBridge GPS L0 Raw Satellite Navigation Data, Version 1","type":"dataset"},{"_score":18.204197,"_sort":[1788309131259,18.204197,7,"0f3df10c-fe05-44e0-a582-46e9eca68a98"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"This data set contains Inertial Measurement Unit (IMU) readings, including latitude, longitude, altitude, velocity, pitch, roll, and true heading, taken over Antarctica using the Systron Donner Inertial MMQ-G inertial measurement unit. The data were collected by scientists working on the Investigating the Cryospheric Evolution of the Central Antarctic Plate (ICECAP) project, which is funded by the National Science Foundation (NSF) and the Natural Environment Research Council (NERC), with additional support from NASA Operation IceBridge.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C1386246599-NSIDCV0.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://daacdata.apps.nsidc.org/pub/DATASETS/ICEBRIDGE/IPUTI0_UTIGIMUraw_v01/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/7K31MCH5XXZA","format":"HTML","mediaType":"text/html"}],"identifier":"10.5067/7K31MCH5XXZA","keyword":["earth-science-platform-characteristics-spectral-engineering-attitude-characteristics"],"license":"https://www.usa.gov/government-works","modified":"2026-09-01","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA NSIDC DAAC;UTX-AUSTIN/IG"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -180.0, \"NorthBoundingCoordinate\": -53.0, \"EastBoundingCoordinate\": 180.0, \"SouthBoundingCoordinate\": -90.0}]]","temporal":"2009-01-01/2010-12-30","theme":["Earth Science"],"title":"IceBridge IMU L0 Raw Inertial Measurement Unit Data, Version 1"},"description":"This data set contains Inertial Measurement Unit (IMU) readings, including latitude, longitude, altitude, velocity, pitch, roll, and true heading, taken over Antarctica using the Systron Donner Inertial MMQ-G inertial measurement unit. The data were collected by scientists working on the Investigating the Cryospheric Evolution of the Central Antarctic Plate (ICECAP) project, which is funded by the National Science Foundation (NSF) and the Natural Environment Research Council (NERC), with additional support from NASA Operation IceBridge.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/fd9864ac-2e71-43ac-b1f1-75b3043097cb","harvest_record_raw":"https://catalog.data.gov/harvest_record/fd9864ac-2e71-43ac-b1f1-75b3043097cb/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/7K31MCH5XXZA","keyword":["earth-science-platform-characteristics-spectral-engineering-attitude-characteristics"],"last_harvested_date":"2026-09-02T00:32:11.259203","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":7,"publisher":"NASA NSIDC DAAC;UTX-AUSTIN/IG","slug":"icebridge-imu-l0-raw-inertial-measurement-unit-data-version-1","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"IceBridge IMU L0 Raw Inertial Measurement Unit Data, Version 1","type":"dataset"},{"_score":18.535769,"_sort":[1788309130937,18.535769,1,"b375974f-8690-4ddd-b800-9e52d0838ebb"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"This data set contains radar sounder measurements taken over Antarctica using the Hi-Capability Radar Sounder (HiCARS) Version 2 instrument. The data were collected by scientists working on the Investigating the Cryospheric Evolution of the Central Antarctic Plate (ICECAP) project, which is funded by the National Science Foundation (NSF) and the Natural Environment Research Council (NERC), with additional support from NASA Operation IceBridge.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C1386246793-NSIDCV0.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://daacdata.apps.nsidc.org/pub/DATASETS/ICEBRIDGE/IR2HI0_HICARS2raw_v01/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/3SEU5LJQXU7Q","format":"HTML","mediaType":"text/html"}],"identifier":"10.5067/3SEU5LJQXU7Q","keyword":["earth-science-radar-spectral-engineering-return-power"],"license":"https://www.usa.gov/government-works","modified":"2026-09-01","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA NSIDC DAAC;UTX-AUSTIN/IG"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -180.0, \"NorthBoundingCoordinate\": -53.0, \"EastBoundingCoordinate\": 180.0, \"SouthBoundingCoordinate\": -90.0}]]","temporal":"2009-03-30/2010-02-26","theme":["Earth Science"],"title":"IceBridge HiCARS 2 L0 Raw Return Energy Amplitudes, Version 1"},"description":"This data set contains radar sounder measurements taken over Antarctica using the Hi-Capability Radar Sounder (HiCARS) Version 2 instrument. The data were collected by scientists working on the Investigating the Cryospheric Evolution of the Central Antarctic Plate (ICECAP) project, which is funded by the National Science Foundation (NSF) and the Natural Environment Research Council (NERC), with additional support from NASA Operation IceBridge.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/ae16f0dc-7821-48c0-b9c4-ea8844cd5dbc","harvest_record_raw":"https://catalog.data.gov/harvest_record/ae16f0dc-7821-48c0-b9c4-ea8844cd5dbc/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/3SEU5LJQXU7Q","keyword":["earth-science-radar-spectral-engineering-return-power"],"last_harvested_date":"2026-09-02T00:32:10.937943","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"NASA NSIDC DAAC;UTX-AUSTIN/IG","slug":"icebridge-hicars-2-l0-raw-return-energy-amplitudes-version-1","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"IceBridge HiCARS 2 L0 Raw Return Energy Amplitudes, Version 1","type":"dataset"},{"_score":19.140823,"_sort":[1788309129896,19.140823,3,"5b25e3ad-dcc1-44eb-abba-a0a604437097"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"This data set contains range to surface measurements taken over Antarctica using the Riegl LD90-3800-HiP-LR Distance Meter. The data were collected by scientists working on the Investigating the Cryospheric Evolution of the Central Antarctic Plate (ICECAP) project, which is funded by the National Science Foundation (NSF) and the Natural Environment Research Council (NERC), with additional support from NASA Operation IceBridge.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C1386246559-NSIDCV0.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://daacdata.apps.nsidc.org/pub/DATASETS/ICEBRIDGE/ILUTP0_UTIGRieglRaw_v01/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/635LB310B64J","format":"HTML","mediaType":"text/html"}],"identifier":"10.5067/635LB310B64J","keyword":["earth-science-lidar-spectral-engineering-lidar"],"license":"https://www.usa.gov/government-works","modified":"2026-09-01","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA NSIDC DAAC;UTX-AUSTIN/IG"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -180.0, \"NorthBoundingCoordinate\": -53.0, \"EastBoundingCoordinate\": 180.0, \"SouthBoundingCoordinate\": -90.0}]]","temporal":"2009-01-01/2010-12-30","theme":["Earth Science"],"title":"IceBridge Riegl Laser Altimeter L0 Raw Ranges, Version 1"},"description":"This data set contains range to surface measurements taken over Antarctica using the Riegl LD90-3800-HiP-LR Distance Meter. The data were collected by scientists working on the Investigating the Cryospheric Evolution of the Central Antarctic Plate (ICECAP) project, which is funded by the National Science Foundation (NSF) and the Natural Environment Research Council (NERC), with additional support from NASA Operation IceBridge.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/f97d0880-b98a-44f3-8ffa-5960c8c6bc3f","harvest_record_raw":"https://catalog.data.gov/harvest_record/f97d0880-b98a-44f3-8ffa-5960c8c6bc3f/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/635LB310B64J","keyword":["earth-science-lidar-spectral-engineering-lidar"],"last_harvested_date":"2026-09-02T00:32:09.896162","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":3,"publisher":"NASA NSIDC DAAC;UTX-AUSTIN/IG","slug":"icebridge-riegl-laser-altimeter-l0-raw-ranges-version-1","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"IceBridge Riegl Laser Altimeter L0 Raw Ranges, Version 1","type":"dataset"},{"_score":19.140823,"_sort":[1788309128819,19.140823,2,"6f36d802-5e26-4f51-966e-a79447d5968f"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"This data set contains time-of-flight data captured over Antarctica using the Sigma Space Photon Counting Lidar Prototype instrument. The data were collected by scientists working on the Investigating the Cryospheric Evolution of the Central Antarctic Plate (ICECAP) project, which is funded by the National Science Foundation (NSF) and the Natural Environment Research Council (NERC), with additional support from NASA Operation IceBridge.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C1386206581-NSIDCV0.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"http://nsidc.org/data/docs/fgdc/ggd272_cryosols_russ_alaska/index.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.7265/9nj5-ya33","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://nsidc.org/forms/GGD272_or.html?major_version=1","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/XOO18QLGPCFI","keyword":["earth-science-platform-characteristics-spectral-engineering-flight-data-logs"],"license":"https://www.usa.gov/government-works","modified":"2026-09-01","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA NSIDC DAAC;UTX-AUSTIN/IG"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -180.0, \"NorthBoundingCoordinate\": -53.0, \"EastBoundingCoordinate\": 180.0, \"SouthBoundingCoordinate\": -90.0}]]","temporal":"2009-01-01/2009-12-31","theme":["Earth Science"],"title":"IceBridge Sigma Space Prototype L0 Raw Time-of-Flight Data, Version 1"},"description":"This data set contains time-of-flight data captured over Antarctica using the Sigma Space Photon Counting Lidar Prototype instrument. The data were collected by scientists working on the Investigating the Cryospheric Evolution of the Central Antarctic Plate (ICECAP) project, which is funded by the National Science Foundation (NSF) and the Natural Environment Research Council (NERC), with additional support from NASA Operation IceBridge.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/dc576d46-e4b2-426a-8c44-c56c22698796","harvest_record_raw":"https://catalog.data.gov/harvest_record/dc576d46-e4b2-426a-8c44-c56c22698796/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/XOO18QLGPCFI","keyword":["earth-science-platform-characteristics-spectral-engineering-flight-data-logs"],"last_harvested_date":"2026-09-02T00:32:08.819918","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":2,"publisher":"NASA NSIDC DAAC;UTX-AUSTIN/IG","slug":"icebridge-sigma-space-prototype-l0-raw-time-of-flight-data-version-1","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"IceBridge Sigma Space Prototype L0 Raw Time-of-Flight Data, Version 1","type":"dataset"},{"_score":10.424902,"_sort":[1788309107719,10.424902,2,"19922c6a-72dc-4e8a-90ac-cc10f30ddb9e"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"Micro-climatic monitoring of air and ground was started in 1990 to evaluate climatic controls on the present-day diurnal soil frost environment in the Western Cape mountains of South Africa. To this effect two data logger stations were established in the summit region of the Waaihoek mountains. Two sites were established at Waaihoek Peak and Mount Superior, respectively.\n\nWaaihoek Peak - The Waaihoek Peak monitoring site is positioned on the southeast extension of a small summit plateau at 1900m elevation where it changes into a southeast trending ridge flanked by two small valleys. The station stands on a 4 to 5 degree slope with an aspect of 140 degrees and is underlain by steeply dipping quartzitic sandstone of the Peninsula Formation. A shallow sandy soil here reaches a thickness of 0.35m and supports a sparse vegetation cover of Restio (Cape reeds) species up to 0.2m high with a total cover of around 30%. Initially both daily and hourly records were kept which necessitated frequent visits to replace the data storage tapes. As from 29-11-1992 only daily records were kept, including maximum and minimum temperature and 24 hour precipitation totals. Average daily soil moisture levels were recorded only as the range between daily maximum and minium values proved to be minimal.\n\nMount Superior - Field observations established the presence of active soil frost features near Mount Superior during December 1991. A second data logger site was consequently established by 1-5-1993 to provide microclimatic data from a site with a different substrate and currently active soil-frost processes. The Mount Superior station is positioned 5km SSE of the Waaihoek Peak site on a flat summit plateau of Cedarberg shale at 1860m elevation. The surface cover is comprised of fractured bedrock and bare shallow soil with tussocks of Restio spp. up to 0.5m high. Daily maximum and minimum temperature were recorded for each sensor as well as daily average relative soil moisture levels and daily precipitation totals.\n\nThese data are presented on the CAPS Version 1.0 CD-ROM, June 1998.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C1386246358-NSIDCV0.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"http://nsidc.org/data/docs/fgdc/ggd482_seasfrost_safrica/index.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.7265/xntv-1r54","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://nsidc.org/forms/GGD482_or.html?major_version=1","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.7265/xntv-1r54","keyword":["earth-science-frozen-ground-cryosphere-seasonally-frozen-ground","earth-science-frozen-ground-cryosphere-soil-temperature","earth-science-frozen-ground-land-surface-seasonally-frozen-ground","earth-science-frozen-ground-land-surface-soil-temperature","earth-science-snow-ice-cryosphere-freeze-thaw","earth-science-snow-ice-terrestrial-hydrosphere-freeze-thaw","earth-science-soils-agriculture-soil-moisture-water-content","earth-science-soils-agriculture-soil-structure","earth-science-soils-agriculture-soil-temperature","earth-science-soils-land-surface-soil-moisture-water-content","earth-science-soils-land-surface-soil-structure","earth-science-soils-land-surface-soil-temperature"],"license":"https://www.usa.gov/government-works","modified":"2026-09-01","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NSIDC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": 19.25, \"NorthBoundingCoordinate\": -33.417, \"EastBoundingCoordinate\": 19.5, \"SouthBoundingCoordinate\": -33.533}]]","theme":["Earth Science"],"title":"Seasonal frost and soil temperature data, Western Cape Mountains, South Africa, Version 1"},"description":"Micro-climatic monitoring of air and ground was started in 1990 to evaluate climatic controls on the present-day diurnal soil frost environment in the Western Cape mountains of South Africa. To this effect two data logger stations were established in the summit region of the Waaihoek mountains. Two sites were established at Waaihoek Peak and Mount Superior, respectively.\n\nWaaihoek Peak - The Waaihoek Peak monitoring site is positioned on the southeast extension of a small summit plateau at 1900m elevation where it changes into a southeast trending ridge flanked by two small valleys. The station stands on a 4 to 5 degree slope with an aspect of 140 degrees and is underlain by steeply dipping quartzitic sandstone of the Peninsula Formation. A shallow sandy soil here reaches a thickness of 0.35m and supports a sparse vegetation cover of Restio (Cape reeds) species up to 0.2m high with a total cover of around 30%. Initially both daily and hourly records were kept which necessitated frequent visits to replace the data storage tapes. As from 29-11-1992 only daily records were kept, including maximum and minimum temperature and 24 hour precipitation totals. Average daily soil moisture levels were recorded only as the range between daily maximum and minium values proved to be minimal.\n\nMount Superior - Field observations established the presence of active soil frost features near Mount Superior during December 1991. A second data logger site was consequently established by 1-5-1993 to provide microclimatic data from a site with a different substrate and currently active soil-frost processes. The Mount Superior station is positioned 5km SSE of the Waaihoek Peak site on a flat summit plateau of Cedarberg shale at 1860m elevation. The surface cover is comprised of fractured bedrock and bare shallow soil with tussocks of Restio spp. up to 0.5m high. Daily maximum and minimum temperature were recorded for each sensor as well as daily average relative soil moisture levels and daily precipitation totals.\n\nThese data are presented on the CAPS Version 1.0 CD-ROM, June 1998.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/5109672a-a25a-468f-9319-c331f4de1820","harvest_record_raw":"https://catalog.data.gov/harvest_record/5109672a-a25a-468f-9319-c331f4de1820/raw","has_download":true,"has_spatial":true,"identifier":"10.7265/xntv-1r54","keyword":["earth-science-frozen-ground-cryosphere-seasonally-frozen-ground","earth-science-frozen-ground-cryosphere-soil-temperature","earth-science-frozen-ground-land-surface-seasonally-frozen-ground","earth-science-frozen-ground-land-surface-soil-temperature","earth-science-snow-ice-cryosphere-freeze-thaw","earth-science-snow-ice-terrestrial-hydrosphere-freeze-thaw","earth-science-soils-agriculture-soil-moisture-water-content","earth-science-soils-agriculture-soil-structure","earth-science-soils-agriculture-soil-temperature","earth-science-soils-land-surface-soil-moisture-water-content","earth-science-soils-land-surface-soil-structure","earth-science-soils-land-surface-soil-temperature"],"last_harvested_date":"2026-09-02T00:31:47.719693","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":2,"publisher":"NSIDC","slug":"seasonal-frost-and-soil-temperature-data-western-cape-mountains-south-africa-version-1","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"Seasonal frost and soil temperature data, Western Cape Mountains, South Africa, Version 1","type":"dataset"},{"_score":12.96674,"_sort":[1788308993030,12.96674,3,"47dc2896-f986-4945-9f5d-63efc2f3656f"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"This dataset provides estimates of trends in temperature, moisture, and vegetation changes over the circumpolar Arctic. Time series trends were measured by the Theil-Sen slope and associated p-values for a variety of variables including 2-meter air temperature, precipitation, soil moisture, non-frozen season days, permafrost active layer thickness, snow cover, vapor pressure deficit, land surface water fraction, normalized difference vegetation index (NDVI), and vegetation optical depth. Trends were measured annually and over specific seasons of spring (March to May), summer (June to August), autumn (September to November) and winter (December to February), and for the 1980-2020 and 1997-2020 time periods, depending on the variable and original data availability. Emerging hotspots of change were identified for the same variables and seasons, but only over the 1997-2020 period. In addition, a multivariate ranking was used to create combined hotspot layers to show areas of substantial changes in the thermal environment, moisture, and vegetation; these themes reflect landscape changes considered to be detrimental (e.g., a threat) to ecosystems and human populations. Ancillary files provide the boundaries of study regions, Brown permafrost regions, and a land cover product. The data are provided in cloud optimized GeoTIFF (COG) and shapefile formats.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C2883645605-ORNL_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://above.nasa.gov","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://daac.ornl.gov/ABOVE/guides/CircumArctic_Trends_Hotspots_Fig1.jpg","format":"JPEG","mediaType":"image/jpeg"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/protected/bundle/CircumArctic_Trends_Hotspots_2322.zip","format":"ZIP","mediaType":"application/zip"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/above/CircumArctic_Trends_Hotspots/comp/1997_2020_12_2_thermal_combined_hotspot_legend.txt","format":"TXT","mediaType":"text/plain"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/above/CircumArctic_Trends_Hotspots/comp/1997_2020_1_12_moisture_combined_hotspot_legend.txt","format":"TXT","mediaType":"text/plain"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/above/CircumArctic_Trends_Hotspots/comp/1997_2020_1_12_thermal_combined_hotspot_legend.txt","format":"TXT","mediaType":"text/plain"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/above/CircumArctic_Trends_Hotspots/comp/1997_2020_1_12_vegetation_combined_hotspot_legend.txt","format":"TXT","mediaType":"text/plain"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/above/CircumArctic_Trends_Hotspots/comp/1997_2020_3_5_moisture_combined_hotspot_legend.txt","format":"TXT","mediaType":"text/plain"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/above/CircumArctic_Trends_Hotspots/comp/1997_2020_3_5_thermal_combined_hotspot_legend.txt","format":"TXT","mediaType":"text/plain"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/above/CircumArctic_Trends_Hotspots/comp/1997_2020_3_5_vegetation_combined_hotspot_legend.txt","format":"TXT","mediaType":"text/plain"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/above/CircumArctic_Trends_Hotspots/comp/1997_2020_6_8_moisture_combined_hotspot_legend.txt","format":"TXT","mediaType":"text/plain"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/above/CircumArctic_Trends_Hotspots/comp/1997_2020_6_8_vegetation_combined_hotspot_legend.txt","format":"TXT","mediaType":"text/plain"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/above/CircumArctic_Trends_Hotspots/comp/1997_2020_9_11_moisture_combined_hotspot_legend.txt","format":"TXT","mediaType":"text/plain"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/above/CircumArctic_Trends_Hotspots/comp/1997_2020_9_11_thermal_combined_hotspot_legend.txt","format":"TXT","mediaType":"text/plain"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/above/CircumArctic_Trends_Hotspots/comp/1997_2020_9_11_vegetation_combined_hotspot_legend.txt","format":"TXT","mediaType":"text/plain"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/above/CircumArctic_Trends_Hotspots/comp/Brown_permafrost_attributes.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/above/CircumArctic_Trends_Hotspots/comp/CircumArctic_Trends_Hotspots.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/above/CircumArctic_Trends_Hotspots/comp/land_cover_legend.txt","format":"TXT","mediaType":"text/plain"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.3334/ORNLDAAC/2322","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C2883645605-ORNL_CLOUD","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.3334/ORNLDAAC/2322","keyword":["earth-science-atmospheric-ocean-indicators-climate-indicators-precipitation-indicators","earth-science-atmospheric-temperature-atmosphere-surface-temperature","earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators","earth-science-cryospheric-indicators-climate-indicators","earth-science-frozen-ground-land-surface-active-layer","earth-science-frozen-ground-land-surface-seasonally-frozen-ground","earth-science-land-surface-agriculture-indicators-climate-indicators-soil-moisture","earth-science-land-surface-agriculture-indicators-climate-indicators-vegetation-cover","earth-science-snow-ice-terrestrial-hydrosphere-snow-cover","earth-science-surface-water-terrestrial-hydrosphere","earth-science-vegetation-biosphere-vegetation-index","earth-science-vegetation-biosphere-vegetation-optical-depth"],"license":"https://www.usa.gov/government-works","modified":"2026-09-01","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"ORNL_DAAC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -180.0, \"NorthBoundingCoordinate\": 90.0, \"EastBoundingCoordinate\": 180.0, \"SouthBoundingCoordinate\": 30.0}]]","temporal":"1980-01-01/2020-12-31","theme":["Earth Science"],"title":"Trends of Thermal, Wetness, and Vegetative Change in the Circumpolar Arctic"},"description":"This dataset provides estimates of trends in temperature, moisture, and vegetation changes over the circumpolar Arctic. Time series trends were measured by the Theil-Sen slope and associated p-values for a variety of variables including 2-meter air temperature, precipitation, soil moisture, non-frozen season days, permafrost active layer thickness, snow cover, vapor pressure deficit, land surface water fraction, normalized difference vegetation index (NDVI), and vegetation optical depth. Trends were measured annually and over specific seasons of spring (March to May), summer (June to August), autumn (September to November) and winter (December to February), and for the 1980-2020 and 1997-2020 time periods, depending on the variable and original data availability. Emerging hotspots of change were identified for the same variables and seasons, but only over the 1997-2020 period. In addition, a multivariate ranking was used to create combined hotspot layers to show areas of substantial changes in the thermal environment, moisture, and vegetation; these themes reflect landscape changes considered to be detrimental (e.g., a threat) to ecosystems and human populations. Ancillary files provide the boundaries of study regions, Brown permafrost regions, and a land cover product. The data are provided in cloud optimized GeoTIFF (COG) and shapefile formats.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/e45ce17c-6d57-4479-a8c5-49a8649adedf","harvest_record_raw":"https://catalog.data.gov/harvest_record/e45ce17c-6d57-4479-a8c5-49a8649adedf/raw","has_download":true,"has_spatial":true,"identifier":"10.3334/ORNLDAAC/2322","keyword":["earth-science-atmospheric-ocean-indicators-climate-indicators-precipitation-indicators","earth-science-atmospheric-temperature-atmosphere-surface-temperature","earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators","earth-science-cryospheric-indicators-climate-indicators","earth-science-frozen-ground-land-surface-active-layer","earth-science-frozen-ground-land-surface-seasonally-frozen-ground","earth-science-land-surface-agriculture-indicators-climate-indicators-soil-moisture","earth-science-land-surface-agriculture-indicators-climate-indicators-vegetation-cover","earth-science-snow-ice-terrestrial-hydrosphere-snow-cover","earth-science-surface-water-terrestrial-hydrosphere","earth-science-vegetation-biosphere-vegetation-index","earth-science-vegetation-biosphere-vegetation-optical-depth"],"last_harvested_date":"2026-09-02T00:29:53.030370","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":3,"publisher":"ORNL_DAAC","slug":"trends-of-thermal-wetness-and-vegetative-change-in-the-circumpolar-arctic","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"Trends of Thermal, Wetness, and Vegetative Change in the Circumpolar Arctic","type":"dataset"},{"_score":6.2705917,"_sort":[1788308943949,6.2705917,4,"7664191c-16e0-4232-9633-30453fba3dff"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"NARSTO_PAC2001_SUMAS_MTN_GAS_PM_MET_DATA was obtained between August 13 and September 5, 2001 during the Pacific 2001 Air Quality Study (PAC2001). Measurements were collected at the Sumas Eagle Ridge (SER) site. The SER site was located at 49.05166 N and -122.24666 W, at 300 m above sea level (a.s.l.) and approximately 250 m above the surrounding valley floor. The site was in a forest clearing of about 85 - 95m2 on top of a concrete-covered reservoir and surrounded by a mixture of coniferous and deciduous trees. The shortest distance from the site to residential area was about 1 km and was about 3 km to the edge of city of Abbotsford and the nearby major traffic route of Highway 1 in the valley floor. About 3 km to the south of the site, where the elevation drops to about 50 m a.s.l. in the valley floor, NH3 emissions are strong from agricultural sources, and their impact of particle formation and hence the visibility reduction is expected to be significant. Because the site was elevated, the boundary layer did not reach the site each day until midmorning, as indicated by NO and CO. Hence, it was a unique site to study changes in gas and particle chemistry from light to dark hours, the nighttime chemistry and the interaction between biogenic emissions and urban pollution. The site was chosen also to characterize particles for optical, chemical and physical properties since PM in this area of the valley appears to be optically different from those typically observed over the urban areas in Vancouver. \r\n\r\nThe main objectives were to: obtain mass and optical closure in order to better attribute aerosol types and sources to the issues of PM and visibility, and to determine the contribution of non-volatile organic compounds (VOCs), biogenic VOCs, and NH3 to particle mass. Gas phase measurements included oxidant related species: O3, NOx , total and speciated NOy, H2O2, CO, SO2, VOCs, including terpenes and some of their oxidation products, carbonyls, and NH3. Nighttime NO3 was measured at a site near this main site by differential optical absorption spectroscopy. Particle chemical characterization measurements included size-distributed mass, inorganic composition, and organic carbon and elemental carbon (using quartz filters and thermal optical transmittance measurements from 0:05 to 18 mm AD. High-time resolution measurements using an AMS were carried out for the last 5 days during this period, covering the size distribution of inorganic and organic species from 0.06 to 0:7 mm AD. Carbon isotope and detailed speciation of organic carbon in particles 2:5 mm were done on high volume samples on quartz filters that were collected twice daily. Continuous mass measurements for particles 10 mm were made using a tapered element oscillating microbalance (TEOM) that operated at 50C. Particle physical measurements were made to characterize the particle evolution at this site. This included concentration of particles 40:015 mm, number size distribution measurements from 0.003 to 0:20 mm using ultrafine Dynamic mechanical analysis (DMAs). Standard meteorological measurements were carried out at this site during the measurement period. The Pacific 2001 Air Quality Study (PAC2001) was conducted from 1 August to 31 September 2001 in the Lower Fraser Valley (LFV), British Columbia, Canada. The study consisted of individual research projects organized to address several issues on ambient particulate matter and ozone that are important to policy makers. A special issue of Atmospheric Environment [Vol. 38(34), Nov 2004] described specific study objectives (Li, 2004) and presented a series of results papers from the field study. The ground sampling sites during the study were Cassiar Tunnel, Slocan Park, Langley Ecole Lochiel, Sumas Eagle Ridge, and Golden Ears Provincial Park. Aloft measurements were taken from a Convair 580 and a Cessna 188. Selected measurement data were compiled for each site and aircraft and are archived as site-specific data sets. \r\n\r\nNorth American Research Strategy for Tropospheric Ozone (NARSTO), which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C3880765561-LARC_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/data/NARSTO/PAC2001_SUMAS_MTN_GAS_PM_MET_DATA_1/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/narsto/guide/narsto_pac2001_sumas_mtn_gas_pm_met_data.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/narsto/narsto_texas_final_report.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/narsto/readme/Intro_1_2.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/narsto/readme/PAC2001_qa_plans.zip","format":"ZIP","mediaType":"application/zip"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/narsto/readme/Sect_5_6.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/narsto/readme/Section_3.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/narsto/readme/Section_4.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/ASDCDAAC/NARSTO/0009","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C3880765561-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.earthdata.nasa.gov/data/projects/narsto","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.earthdata.nasa.gov/engage/open-data-services-software-policies/data-use-guidance","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/ASDCDAAC/NARSTO/0009","keyword":["earth-science-aerosols-atmosphere-aerosol-optical-depth-thickness","earth-science-aerosols-atmosphere-aerosol-particle-properties","earth-science-aerosols-atmosphere-carbonaceous-aerosols","earth-science-aerosols-atmosphere-nitrate-particles","earth-science-atmospheric-chemistry-atmosphere-carbon-and-hydrocarbon-compounds","earth-science-atmospheric-chemistry-atmosphere-nitrogen-compounds","earth-science-atmospheric-chemistry-atmosphere-oxygen-compounds","earth-science-atmospheric-chemistry-atmosphere-sulfur-compounds","earth-science-atmospheric-pressure-atmosphere-atmospheric-pressure-measurements","earth-science-atmospheric-temperature-atmosphere-surface-temperature","earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators"],"license":"https://www.usa.gov/government-works","modified":"2026-09-01","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/LARC/SD/ASDC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -122.26, \"EastBoundingCoordinate\": -122.24, \"SouthBoundingCoordinate\": 49.04, \"NorthBoundingCoordinate\": 49.06}]]","temporal":"2001-08-13/2001-09-05","theme":["Earth Science"],"title":"NARSTO PAC2001 Sumas Eagle Ridge Gaseous, Particle, and Meteorological Data"},"description":"NARSTO_PAC2001_SUMAS_MTN_GAS_PM_MET_DATA was obtained between August 13 and September 5, 2001 during the Pacific 2001 Air Quality Study (PAC2001). Measurements were collected at the Sumas Eagle Ridge (SER) site. The SER site was located at 49.05166 N and -122.24666 W, at 300 m above sea level (a.s.l.) and approximately 250 m above the surrounding valley floor. The site was in a forest clearing of about 85 - 95m2 on top of a concrete-covered reservoir and surrounded by a mixture of coniferous and deciduous trees. The shortest distance from the site to residential area was about 1 km and was about 3 km to the edge of city of Abbotsford and the nearby major traffic route of Highway 1 in the valley floor. About 3 km to the south of the site, where the elevation drops to about 50 m a.s.l. in the valley floor, NH3 emissions are strong from agricultural sources, and their impact of particle formation and hence the visibility reduction is expected to be significant. Because the site was elevated, the boundary layer did not reach the site each day until midmorning, as indicated by NO and CO. Hence, it was a unique site to study changes in gas and particle chemistry from light to dark hours, the nighttime chemistry and the interaction between biogenic emissions and urban pollution. The site was chosen also to characterize particles for optical, chemical and physical properties since PM in this area of the valley appears to be optically different from those typically observed over the urban areas in Vancouver. \r\n\r\nThe main objectives were to: obtain mass and optical closure in order to better attribute aerosol types and sources to the issues of PM and visibility, and to determine the contribution of non-volatile organic compounds (VOCs), biogenic VOCs, and NH3 to particle mass. Gas phase measurements included oxidant related species: O3, NOx , total and speciated NOy, H2O2, CO, SO2, VOCs, including terpenes and some of their oxidation products, carbonyls, and NH3. Nighttime NO3 was measured at a site near this main site by differential optical absorption spectroscopy. Particle chemical characterization measurements included size-distributed mass, inorganic composition, and organic carbon and elemental carbon (using quartz filters and thermal optical transmittance measurements from 0:05 to 18 mm AD. High-time resolution measurements using an AMS were carried out for the last 5 days during this period, covering the size distribution of inorganic and organic species from 0.06 to 0:7 mm AD. Carbon isotope and detailed speciation of organic carbon in particles 2:5 mm were done on high volume samples on quartz filters that were collected twice daily. Continuous mass measurements for particles 10 mm were made using a tapered element oscillating microbalance (TEOM) that operated at 50C. Particle physical measurements were made to characterize the particle evolution at this site. This included concentration of particles 40:015 mm, number size distribution measurements from 0.003 to 0:20 mm using ultrafine Dynamic mechanical analysis (DMAs). Standard meteorological measurements were carried out at this site during the measurement period. The Pacific 2001 Air Quality Study (PAC2001) was conducted from 1 August to 31 September 2001 in the Lower Fraser Valley (LFV), British Columbia, Canada. The study consisted of individual research projects organized to address several issues on ambient particulate matter and ozone that are important to policy makers. A special issue of Atmospheric Environment [Vol. 38(34), Nov 2004] described specific study objectives (Li, 2004) and presented a series of results papers from the field study. The ground sampling sites during the study were Cassiar Tunnel, Slocan Park, Langley Ecole Lochiel, Sumas Eagle Ridge, and Golden Ears Provincial Park. Aloft measurements were taken from a Convair 580 and a Cessna 188. Selected measurement data were compiled for each site and aircraft and are archived as site-specific data sets. \r\n\r\nNorth American Research Strategy for Tropospheric Ozone (NARSTO), which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/158dc843-8907-4a4f-ae7c-78eb7dd957dd","harvest_record_raw":"https://catalog.data.gov/harvest_record/158dc843-8907-4a4f-ae7c-78eb7dd957dd/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/ASDCDAAC/NARSTO/0009","keyword":["earth-science-aerosols-atmosphere-aerosol-optical-depth-thickness","earth-science-aerosols-atmosphere-aerosol-particle-properties","earth-science-aerosols-atmosphere-carbonaceous-aerosols","earth-science-aerosols-atmosphere-nitrate-particles","earth-science-atmospheric-chemistry-atmosphere-carbon-and-hydrocarbon-compounds","earth-science-atmospheric-chemistry-atmosphere-nitrogen-compounds","earth-science-atmospheric-chemistry-atmosphere-oxygen-compounds","earth-science-atmospheric-chemistry-atmosphere-sulfur-compounds","earth-science-atmospheric-pressure-atmosphere-atmospheric-pressure-measurements","earth-science-atmospheric-temperature-atmosphere-surface-temperature","earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators"],"last_harvested_date":"2026-09-02T00:29:03.949272","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":4,"publisher":"NASA/LARC/SD/ASDC","slug":"narsto-pac2001-sumas-eagle-ridge-gaseous-particle-and-meteorological-data","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"NARSTO PAC2001 Sumas Eagle Ridge Gaseous, Particle, and Meteorological Data","type":"dataset"},{"_score":7.9749546,"_sort":[1788308943619,7.9749546,2,"b0f27a17-e049-4d5b-8ca3-1df3309182ce"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"NARSTO_PAC2001_GVRD_CAPMON_AIR_QUAL_DATA is the North American Research Strategy for Tropospheric Ozone (NARSTO) Pacific 2001 Air Quality Study (PAC2001) Greater Vancouver Regional District (GVRD) and and Canadian Air and Precipitation Monitoring Network (CAPMoN) Supplemental Air Quality Data product. Data was obtained from January 1, 2001 to January 1, 2002. Air quality monitoring data routinely collect by the GVRD CAPMoN during the sampling period of PAC2001, are included as supplemental data for PAC2001.\r\n\r\nThe GVRD monitoring network of 20 sites continued operation during the PAC2001 field study period, with enhanced quality assurance (QA) and quality control (QC) activities. At all sites, meteorological measurements were carried out at a 5-min time resolution. At a few specially equipped sites, particle mass PM10 were measured using tapered element oscillating microbalances (TEOMs). The network data complements the special study sites and form a spatial distribution of the pollutants. CAPMoN is a non-urban air quality monitoring network with siting criteria designed to ensure that the measurement locations are regionally representative (not affected by local sources of air pollution).\r\n\r\nThe objectives were to determine the spatial patterns and establish the temporal trends of pollutants related to acid rain; provide for long-range transport model evaluations and effects research (aquatic, terrestrial, building materials and health); ensure the compatibility of federal, provincial and U.S. measurements; and study atmospheric processes. Scientists involved with the measurement of atmospheric pollution in urban centers would consider most CAPMoN sites to be remote and pristine. There are currently 19 measurement sites in Canada and 1 in the U.S. The Saturna Island site is located in the PAC2001 area of interest. \r\n\r\nPAC2001 was conducted from 1 August to 31 September 2001 in the Lower Fraser Valley (LFV), British Columbia, Canada. The study consisted of individual research projects organized to address several issues on ambient particulate matter and ozone that are important to policy makers. A special issue of Atmospheric Environment [Vol. 38(34), Nov 2004] described specific study objectives (Li, 2004) and presented a series of results papers from the field study. The ground sampling sites during the study were (1) Cassiar Tunnel, (2) Slocan Park, (3) Langley Ecole Lochiel, (4) Sumas Eagle Ridge, and (5) Golden Ears Provincial Park. Aloft measurements were taken from a Convair 580 and a Cessna 188. Selected measurement data were compiled for each site and aircraft and are archived as site-specific data sets.\r\n\r\nNorth American Research Strategy for Tropospheric Ozone (NARSTO), which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C3880765727-LARC_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/data/NARSTO/PAC2001_GVRD_CAPMON_AIR_QUAL_DATA_1/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/narsto/guide/narsto_pac2001_gvrd_capmon_air_qual_data.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/narsto/narsto_texas_final_report.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/narsto/readme/GVRD_report_2001.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/narsto/readme/Intro_1_2.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/narsto/readme/PAC2001_qa_plans.zip","format":"ZIP","mediaType":"application/zip"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/narsto/readme/Pacific_2001_project_plan.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/narsto/readme/Sect_5_6.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/narsto/readme/Section_3.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/narsto/readme/Section_4.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/ASDCDAAC/NARSTO/0012","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C3880765727-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.earthdata.nasa.gov/data/projects/narsto","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.earthdata.nasa.gov/engage/open-data-services-software-policies/data-use-guidance","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/ASDCDAAC/NARSTO/0012","keyword":["earth-science-aerosols-atmosphere-aerosol-particle-properties","earth-science-air-quality-atmosphere-volatile-organic-compounds","earth-science-atmospheric-chemistry-atmosphere-nitrogen-compounds","earth-science-atmospheric-chemistry-atmosphere-oxygen-compounds","earth-science-atmospheric-chemistry-atmosphere-sulfur-compounds","earth-science-atmospheric-temperature-atmosphere-surface-temperature","earth-science-atmospheric-winds-atmosphere-upper-level-winds"],"license":"https://www.usa.gov/government-works","modified":"2026-09-01","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/LARC/SD/ASDC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -123.16, \"EastBoundingCoordinate\": -121.94, \"SouthBoundingCoordinate\": 48.78, \"NorthBoundingCoordinate\": 49.37}]]","temporal":"2001-01-01/2002-01-01","theme":["Earth Science"],"title":"NARSTO Pacific 2001 Air Quality Study (PAC2001) Greater Vancouver Regional District (GVRD) and and Canadian Air and Precipitation Monitoring Network (CAPMoN) Supplemental Air Quality Data"},"description":"NARSTO_PAC2001_GVRD_CAPMON_AIR_QUAL_DATA is the North American Research Strategy for Tropospheric Ozone (NARSTO) Pacific 2001 Air Quality Study (PAC2001) Greater Vancouver Regional District (GVRD) and and Canadian Air and Precipitation Monitoring Network (CAPMoN) Supplemental Air Quality Data product. Data was obtained from January 1, 2001 to January 1, 2002. Air quality monitoring data routinely collect by the GVRD CAPMoN during the sampling period of PAC2001, are included as supplemental data for PAC2001.\r\n\r\nThe GVRD monitoring network of 20 sites continued operation during the PAC2001 field study period, with enhanced quality assurance (QA) and quality control (QC) activities. At all sites, meteorological measurements were carried out at a 5-min time resolution. At a few specially equipped sites, particle mass PM10 were measured using tapered element oscillating microbalances (TEOMs). The network data complements the special study sites and form a spatial distribution of the pollutants. CAPMoN is a non-urban air quality monitoring network with siting criteria designed to ensure that the measurement locations are regionally representative (not affected by local sources of air pollution).\r\n\r\nThe objectives were to determine the spatial patterns and establish the temporal trends of pollutants related to acid rain; provide for long-range transport model evaluations and effects research (aquatic, terrestrial, building materials and health); ensure the compatibility of federal, provincial and U.S. measurements; and study atmospheric processes. Scientists involved with the measurement of atmospheric pollution in urban centers would consider most CAPMoN sites to be remote and pristine. There are currently 19 measurement sites in Canada and 1 in the U.S. The Saturna Island site is located in the PAC2001 area of interest. \r\n\r\nPAC2001 was conducted from 1 August to 31 September 2001 in the Lower Fraser Valley (LFV), British Columbia, Canada. The study consisted of individual research projects organized to address several issues on ambient particulate matter and ozone that are important to policy makers. A special issue of Atmospheric Environment [Vol. 38(34), Nov 2004] described specific study objectives (Li, 2004) and presented a series of results papers from the field study. The ground sampling sites during the study were (1) Cassiar Tunnel, (2) Slocan Park, (3) Langley Ecole Lochiel, (4) Sumas Eagle Ridge, and (5) Golden Ears Provincial Park. Aloft measurements were taken from a Convair 580 and a Cessna 188. Selected measurement data were compiled for each site and aircraft and are archived as site-specific data sets.\r\n\r\nNorth American Research Strategy for Tropospheric Ozone (NARSTO), which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/06f131ef-3a77-42da-a341-5a754fefada2","harvest_record_raw":"https://catalog.data.gov/harvest_record/06f131ef-3a77-42da-a341-5a754fefada2/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/ASDCDAAC/NARSTO/0012","keyword":["earth-science-aerosols-atmosphere-aerosol-particle-properties","earth-science-air-quality-atmosphere-volatile-organic-compounds","earth-science-atmospheric-chemistry-atmosphere-nitrogen-compounds","earth-science-atmospheric-chemistry-atmosphere-oxygen-compounds","earth-science-atmospheric-chemistry-atmosphere-sulfur-compounds","earth-science-atmospheric-temperature-atmosphere-surface-temperature","earth-science-atmospheric-winds-atmosphere-upper-level-winds"],"last_harvested_date":"2026-09-02T00:29:03.619659","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":2,"publisher":"NASA/LARC/SD/ASDC","slug":"narsto-pacific-2001-air-quality-study-pac2001-greater-vancouver-regional-district-gvrd-and","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"NARSTO Pacific 2001 Air Quality Study (PAC2001) Greater Vancouver Regional District (GVRD) and and Canadian Air and Precipitation Monitoring Network (CAPMoN) Supplemental Air Quality Data","type":"dataset"},{"_score":6.5599213,"_sort":[1788308943290,6.5599213,0,"64ac6929-a509-400e-92d9-5ff882e59e0c"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"NARSTO_PAC2001_SLOCAN_PARK_GAS_PM_MET_DATA is the North American Research Strategy for Tropospheric Ozone (NARSTO) Pacific 2001 Air Quality Study (PAC2001) Slocan Park (SLPK) Slocan Park Site Gaseous, Partculate Matter (PM), and Meteorological Data product. Data was collected between August 11 and September 01, 2001 during PAC2001.\r\n\r\nThe SLPK site, at 49.23417 N and -123.0475 W and at 85 m above sea level (a.s.l.), was in a typical urban park in a residential neighborhood in Vancouver with an open field of approximately 150 x 300 m2. Residences of one to two stories surround the park. The site had good fetch in all directions with no major point sources within a radius of 3 km. Like, in much of Vancouver, both deciduous and coniferous trees lined the streets around the site. Traffic in the nearby streets was typical of light volume and light duty transportation. The closest street (29th Avenue), approximately 50 m away, was a secondary traffic route with light volume rush hour traffic. The closest major highway, Highway 1A, was about 600 m away where congested rush hour traffic is typical. Measurements at this site were designed to study the urban mixture of primary particles and secondary particles that are expected from conversion of precursors, such as anthropogenic hydrocarbons. Emphasis was also placed on chemical characterization of PM with an eventual goal of receptor modeling, particularly for organic carbon components. Measurements made at this site included those for gases, such as O3, NOx, total and speciated NOy, SO2, CO, NH3, NMHCs (including mono-terpenes), HCHO and CH3CHO. Particle chemical measurements included size distributed inorganic composition, organic and elemental carbon, and mass from <0.05 to 18 um aerodynamic diameter (AD) using impactors that were sampled twice daily, and size distributed chemical composition from 0.06 to 0.7 um AD at high time resolution using an Aerodyne Aerosol Mass Spectrometer. \r\n\r\nDetailed organic carbon speciation for many solvent-extractable polar and non-polar homologues of organic compounds were conducted with twice daily high-volume sampling and detailed lab analyses. Black carbon was determined using filter-based optical absorption methods. Sulfur isotope was characterized in PM<2.5 um, twice daily on high volume filter samples. Detailed mass measurements were made using several techniques, primarily to assess the performance of the techniques. Particle number size distributions were measured from 0.12 to 0.3 um using an optical probe. Tethered balloon measurements were made at this site. Vertical profiles, from ground level to 300 m for O3, wind direction and speed, T, P, and RH, were measured four times daily. \r\n\r\nPAC2001 was conducted from August 1 to September 31, 2001 in the Lower Fraser Valley (LFV), British Columbia, Canada. The study consisted of individual research projects organized to address several issues on ambient particulate matter and ozone that are important to policy makers. A special issue of Atmospheric Environment [Vol. 38(34), Nov 2004] described specific study objectives (Li, 2004) and presented a series of results papers from the field study. There were 5 ground sampling sites during the study, which included: Cassiar Tunnel, Slocan Park, Langley Ecole Lochiel, Sumas Eagle Ridge, and Golden Ears Provincial Park. Aloft measurements were taken from a Convair 580 and a Cessna 188. Selected measurement data were compiled for each site and aircraft and are archived as site-specific data sets.\r\n\r\nNorth American Research Strategy for Tropospheric Ozone (NARSTO), which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C3880765777-LARC_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/data/NARSTO/PAC2001_SLOCAN_PARK_GAS_PM_MET_DATA_1/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/narsto/guide/narsto_pac2001_slocan_park_gas_pm_met_data.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/narsto/narsto_texas_final_report.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/narsto/readme/Intro_1_2.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/narsto/readme/PAC2001_qa_plans.zip","format":"ZIP","mediaType":"application/zip"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/narsto/readme/Sect_5_6.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/narsto/readme/Section_3.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/narsto/readme/Section_4.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/ASDCDAAC/NARSTO/0010","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C3880765777-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.earthdata.nasa.gov/data/projects/narsto","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.earthdata.nasa.gov/engage/open-data-services-software-policies/data-use-guidance","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/ASDCDAAC/NARSTO/0010","keyword":["earth-science-aerosols-atmosphere-aerosol-particle-properties","earth-science-aerosols-atmosphere-carbonaceous-aerosols","earth-science-aerosols-atmosphere-nitrate-particles","earth-science-atmospheric-chemistry-atmosphere-carbon-and-hydrocarbon-compounds","earth-science-atmospheric-chemistry-atmosphere-nitrogen-compounds","earth-science-atmospheric-chemistry-atmosphere-oxygen-compounds","earth-science-atmospheric-chemistry-atmosphere-sulfur-compounds","earth-science-atmospheric-pressure-atmosphere-atmospheric-pressure-measurements","earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators","earth-science-atmospheric-winds-atmosphere-surface-winds"],"license":"https://www.usa.gov/government-works","modified":"2026-09-01","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/LARC/SD/ASDC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -123.06, \"EastBoundingCoordinate\": -123.04, \"SouthBoundingCoordinate\": 49.23, \"NorthBoundingCoordinate\": 49.24}]]","temporal":"2001-08-11/2001-09-01","theme":["Earth Science"],"title":"NARSTO Pacific 2001 Air Quality Study (PAC2001) Slocan Park (SLPK) Slocan Park Site Gaseous, Partculate Matter (PM), and Meteorological Data"},"description":"NARSTO_PAC2001_SLOCAN_PARK_GAS_PM_MET_DATA is the North American Research Strategy for Tropospheric Ozone (NARSTO) Pacific 2001 Air Quality Study (PAC2001) Slocan Park (SLPK) Slocan Park Site Gaseous, Partculate Matter (PM), and Meteorological Data product. Data was collected between August 11 and September 01, 2001 during PAC2001.\r\n\r\nThe SLPK site, at 49.23417 N and -123.0475 W and at 85 m above sea level (a.s.l.), was in a typical urban park in a residential neighborhood in Vancouver with an open field of approximately 150 x 300 m2. Residences of one to two stories surround the park. The site had good fetch in all directions with no major point sources within a radius of 3 km. Like, in much of Vancouver, both deciduous and coniferous trees lined the streets around the site. Traffic in the nearby streets was typical of light volume and light duty transportation. The closest street (29th Avenue), approximately 50 m away, was a secondary traffic route with light volume rush hour traffic. The closest major highway, Highway 1A, was about 600 m away where congested rush hour traffic is typical. Measurements at this site were designed to study the urban mixture of primary particles and secondary particles that are expected from conversion of precursors, such as anthropogenic hydrocarbons. Emphasis was also placed on chemical characterization of PM with an eventual goal of receptor modeling, particularly for organic carbon components. Measurements made at this site included those for gases, such as O3, NOx, total and speciated NOy, SO2, CO, NH3, NMHCs (including mono-terpenes), HCHO and CH3CHO. Particle chemical measurements included size distributed inorganic composition, organic and elemental carbon, and mass from <0.05 to 18 um aerodynamic diameter (AD) using impactors that were sampled twice daily, and size distributed chemical composition from 0.06 to 0.7 um AD at high time resolution using an Aerodyne Aerosol Mass Spectrometer. \r\n\r\nDetailed organic carbon speciation for many solvent-extractable polar and non-polar homologues of organic compounds were conducted with twice daily high-volume sampling and detailed lab analyses. Black carbon was determined using filter-based optical absorption methods. Sulfur isotope was characterized in PM<2.5 um, twice daily on high volume filter samples. Detailed mass measurements were made using several techniques, primarily to assess the performance of the techniques. Particle number size distributions were measured from 0.12 to 0.3 um using an optical probe. Tethered balloon measurements were made at this site. Vertical profiles, from ground level to 300 m for O3, wind direction and speed, T, P, and RH, were measured four times daily. \r\n\r\nPAC2001 was conducted from August 1 to September 31, 2001 in the Lower Fraser Valley (LFV), British Columbia, Canada. The study consisted of individual research projects organized to address several issues on ambient particulate matter and ozone that are important to policy makers. A special issue of Atmospheric Environment [Vol. 38(34), Nov 2004] described specific study objectives (Li, 2004) and presented a series of results papers from the field study. There were 5 ground sampling sites during the study, which included: Cassiar Tunnel, Slocan Park, Langley Ecole Lochiel, Sumas Eagle Ridge, and Golden Ears Provincial Park. Aloft measurements were taken from a Convair 580 and a Cessna 188. Selected measurement data were compiled for each site and aircraft and are archived as site-specific data sets.\r\n\r\nNorth American Research Strategy for Tropospheric Ozone (NARSTO), which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/a2ffa98c-58cf-4805-a195-fb7eaa43a4e8","harvest_record_raw":"https://catalog.data.gov/harvest_record/a2ffa98c-58cf-4805-a195-fb7eaa43a4e8/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/ASDCDAAC/NARSTO/0010","keyword":["earth-science-aerosols-atmosphere-aerosol-particle-properties","earth-science-aerosols-atmosphere-carbonaceous-aerosols","earth-science-aerosols-atmosphere-nitrate-particles","earth-science-atmospheric-chemistry-atmosphere-carbon-and-hydrocarbon-compounds","earth-science-atmospheric-chemistry-atmosphere-nitrogen-compounds","earth-science-atmospheric-chemistry-atmosphere-oxygen-compounds","earth-science-atmospheric-chemistry-atmosphere-sulfur-compounds","earth-science-atmospheric-pressure-atmosphere-atmospheric-pressure-measurements","earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators","earth-science-atmospheric-winds-atmosphere-surface-winds"],"last_harvested_date":"2026-09-02T00:29:03.290118","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":0,"publisher":"NASA/LARC/SD/ASDC","slug":"narsto-pacific-2001-air-quality-study-pac2001-slocan-park-slpk-slocan-park-site-gaseous-pa","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"NARSTO Pacific 2001 Air Quality Study (PAC2001) Slocan Park (SLPK) Slocan Park Site Gaseous, Partculate Matter (PM), and Meteorological Data","type":"dataset"},{"_score":7.746645,"_sort":[1788308942617,7.746645,3,"dc02b227-8f49-40fa-ba79-ef348aa5e658"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The NARSTO_EPA_SS_ST_LOUIS_AIR_CHEM_PM_MET_DATA were obtained between April 11, 2001 and July 21, 2003 during the St. Louis - Midwest Supersite program.The overall goal of the St. Louis - Midwest Supersite was to conduct aerosol physical and chemical measurements needed by the health effects community, the atmospheric science community and the regulatory community to properly assess the impact of particulate matter exposure on human health and to develop control strategies to mitigate these effects. Metropolitan St. Louis is a major population center well isolated from other urban centers of even moderate size, and is impacted by both distant and local sources. Local industry includes manufacturing,refining, and chemical plants. St. Louis is climatologically representative of the country's eastern interior, affected by a wide range of synoptic weather patterns and free of localized influences from the Great Lakes, Ocean, Gulf, and mountains. It accordingly provides an ideal environment for studying the sources, transport, and properties of ambient particles.The initial data types included:1) 5-minute PM 2.5 black carbon (880 nm) and uv-absorbing carbon (370 nm) measured by a Magee Scientific Aethalometer (Model AE-21).2) 1-hour PM 2.5 elemental carbon and blank-corrected organic carbon from semicontinuous thermo-optical analysis by the ACE-ASIA method.3) 24-hour PM 2.5 elemental carbon and organic carbon (both blank-corrected) from integrated filter with offline thermo-optical analysis by the ACE-ASIA method.4) 30-minute PM 2.5 metal composition from samples collected with a Semicontinuous Elements in Aerosol Sampler (SEAS) II.5) 5-minute meteorological data (wind, temperature, RH, solar radiation, atmospheric pressure, and precipitation) measured with a Climatronics anemometer, wind vane, thermocouple, lithium chloride sensor, pyranometer, barometer, and tipping bucket.6) 24-hour PM 1.0 filter mass concentration measured by sharp cut cyclone and gravimetric analysis.7) 1-hour PM 2.5 mass measured by an Andersen Continuous Ambient Mass Monitoring System (CAMMS).8) 24-hour PM 2.5 and PM 10 filter mass by Harvard Impactors and laboratory gravimetric analysis.The U.S. EPA Particulate Matter (PM) Supersites Program was an ambient air monitoring research program designed to provide information of value to the atmospheric sciences, and human health and exposure research communities. Eight geographically diverse projects were chosen to specifically address these EPA research priorities: (1) to characterize PM, its constituents, precursors, co-pollutants, atmospheric transport, and its source categories that affect the PM in any region; (2) to address the research questions and scientific uncertainties about PM source-receptor and exposure-health effects relationships; and (3) to compare and evaluate different methods of characterizing PM including testing new and emerging measurement methods. NARSTO (formerly North American Research Strategy for Tropospheric Ozone) is a public/private partnership, whose membership spans government, the utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission is to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are available.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C3880766504-LARC_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/data/NARSTO/EPA_SS_ST_LOUIS_AIR_CHEM_PM_MET_DATA_1/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/narsto/guide/narsto_epa_ss_st_louis_air_chem_pm_met_data.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/narsto/narsto_texas_final_report.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/narsto/readme/Intro_1_2.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/narsto/readme/STL-SS_FinalReport_Rev02_March2007.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/narsto/readme/STL_Supersite_QAFR_v1.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/narsto/readme/Sect_5_6.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/narsto/readme/Section_3.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/narsto/readme/Section_4.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/narsto/readme/stlprop.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/narsto/readme/stlqapp.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/ASDCDAAC/NARSTO/0020","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C3880766504-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.earthdata.nasa.gov/data/projects/narsto","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.earthdata.nasa.gov/engage/open-data-services-software-policies/data-use-guidance","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/ASDCDAAC/NARSTO/0020","keyword":["earth-science-aerosols-atmosphere-carbonaceous-aerosols","earth-science-air-quality-atmosphere-particulates","earth-science-atmospheric-chemistry-atmosphere-trace-elements-trace-metals","earth-science-atmospheric-pressure-atmosphere-surface-pressure","earth-science-atmospheric-radiation-atmosphere-solar-radiation","earth-science-atmospheric-temperature-atmosphere-surface-temperature","earth-science-atmospheric-winds-atmosphere-surface-winds","earth-science-precipitation-atmosphere-precipitation-amount"],"license":"https://www.usa.gov/government-works","modified":"2026-09-01","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/LARC/SD/ASDC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -90.2, \"EastBoundingCoordinate\": -90, \"SouthBoundingCoordinate\": 38.5, \"NorthBoundingCoordinate\": 38.7}]]","temporal":"2000-06-22/2003-07-20","theme":["Earth Science"],"title":"NARSTO_EPA_SS_ST_LOUIS Air Chemistry, Particulate Matter, Met Data"},"description":"The NARSTO_EPA_SS_ST_LOUIS_AIR_CHEM_PM_MET_DATA were obtained between April 11, 2001 and July 21, 2003 during the St. Louis - Midwest Supersite program.The overall goal of the St. Louis - Midwest Supersite was to conduct aerosol physical and chemical measurements needed by the health effects community, the atmospheric science community and the regulatory community to properly assess the impact of particulate matter exposure on human health and to develop control strategies to mitigate these effects. Metropolitan St. Louis is a major population center well isolated from other urban centers of even moderate size, and is impacted by both distant and local sources. Local industry includes manufacturing,refining, and chemical plants. St. Louis is climatologically representative of the country's eastern interior, affected by a wide range of synoptic weather patterns and free of localized influences from the Great Lakes, Ocean, Gulf, and mountains. It accordingly provides an ideal environment for studying the sources, transport, and properties of ambient particles.The initial data types included:1) 5-minute PM 2.5 black carbon (880 nm) and uv-absorbing carbon (370 nm) measured by a Magee Scientific Aethalometer (Model AE-21).2) 1-hour PM 2.5 elemental carbon and blank-corrected organic carbon from semicontinuous thermo-optical analysis by the ACE-ASIA method.3) 24-hour PM 2.5 elemental carbon and organic carbon (both blank-corrected) from integrated filter with offline thermo-optical analysis by the ACE-ASIA method.4) 30-minute PM 2.5 metal composition from samples collected with a Semicontinuous Elements in Aerosol Sampler (SEAS) II.5) 5-minute meteorological data (wind, temperature, RH, solar radiation, atmospheric pressure, and precipitation) measured with a Climatronics anemometer, wind vane, thermocouple, lithium chloride sensor, pyranometer, barometer, and tipping bucket.6) 24-hour PM 1.0 filter mass concentration measured by sharp cut cyclone and gravimetric analysis.7) 1-hour PM 2.5 mass measured by an Andersen Continuous Ambient Mass Monitoring System (CAMMS).8) 24-hour PM 2.5 and PM 10 filter mass by Harvard Impactors and laboratory gravimetric analysis.The U.S. EPA Particulate Matter (PM) Supersites Program was an ambient air monitoring research program designed to provide information of value to the atmospheric sciences, and human health and exposure research communities. Eight geographically diverse projects were chosen to specifically address these EPA research priorities: (1) to characterize PM, its constituents, precursors, co-pollutants, atmospheric transport, and its source categories that affect the PM in any region; (2) to address the research questions and scientific uncertainties about PM source-receptor and exposure-health effects relationships; and (3) to compare and evaluate different methods of characterizing PM including testing new and emerging measurement methods. NARSTO (formerly North American Research Strategy for Tropospheric Ozone) is a public/private partnership, whose membership spans government, the utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission is to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are available.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/8a76c93c-a8e9-417c-ad4d-68ec4e1b5bdd","harvest_record_raw":"https://catalog.data.gov/harvest_record/8a76c93c-a8e9-417c-ad4d-68ec4e1b5bdd/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/ASDCDAAC/NARSTO/0020","keyword":["earth-science-aerosols-atmosphere-carbonaceous-aerosols","earth-science-air-quality-atmosphere-particulates","earth-science-atmospheric-chemistry-atmosphere-trace-elements-trace-metals","earth-science-atmospheric-pressure-atmosphere-surface-pressure","earth-science-atmospheric-radiation-atmosphere-solar-radiation","earth-science-atmospheric-temperature-atmosphere-surface-temperature","earth-science-atmospheric-winds-atmosphere-surface-winds","earth-science-precipitation-atmosphere-precipitation-amount"],"last_harvested_date":"2026-09-02T00:29:02.617253","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":3,"publisher":"NASA/LARC/SD/ASDC","slug":"narsto_epa_ss_st_louis-air-chemistry-particulate-matter-met-data","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"NARSTO_EPA_SS_ST_LOUIS Air Chemistry, Particulate Matter, Met Data","type":"dataset"},{"_score":9.674631,"_sort":[1788308941206,9.674631,1,"919c2b5c-2669-485b-b562-3e98b530e18f"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The OLCI/Sentinel-3A L1 Full Resolution Top of Atmosphere Reflectance product, S3A_OL_1_EFR is generated from the data aquired by the Ocean and Land Colour Instrument (OLCI) on board European Earth Observation satellite mission, SENTINEL-3. The OLCI is a push-broom imaging spectrometer that measures solar radiation reflected by the Earth at a ground spatial resolution of around 300m, over all surfaces, in 21 spectral bands. OLCI is based on the imaging design of ENVISAT's Medium Resolution Imaging Spectrometer (MERIS). It has a 1270km wide swath. \n\nFor more information about the instrument and the mission, visit [Sentinel Online](https://sentinel.esa.int/web/sentinel/home). \n\nThe S3A_OL_1_EFR is a Level-1B product. This is composed of an information package map, called a manifest, 22 measurement data files, and seven annotation data files. The 21 measurement data files (one for each band) consist of Top Of Atmosphere (TOA) radiances, calibrated to geophysical units (W.m-2. sr-1 Micro meter-1), georeferenced onto the Earth's surface, and spatially resampled onto an evenly spaced grid. Seven annotation files provide information on illumination and observation geometry, environment data (meteorological data) and quality and classification flags. Both measurement data files and annotation data files are written in netCDF 4 format. The manifest file is in XML format and contains metadata associated with the instrument and the processing. The S3A_OL_1_EFR is generated in Earth Observation (EO) processing mode and all parameters in this product are provided for each re-gridded pixel on the product image and for each removed pixel.\n\n\nThe OL_1_EFR product package is described below:\n\nElement name \t Description\nManifest.safe \t SENTINEL-SAFE product manifest\nOa##_radiance.nc \tRadiance for OLCI acquisition bands 01 to 21\nRemoved_pixels.nc \tRemoved pixels information needed for Level-1C generation\nTime_coordinates.nc \tTime stamp annotations\nGeo_coordinates.nc \tHigh resolution georeferencing data\nQuality_flags.nc \tClassification and quality flags\nTie_geo_coordinates.nc \tLow resolution georeferencing data\nTie_geometries.nc \tSun and view angles\nTie_meteo.nc \t ECMWF meteorology data\nInstrument_data.nc \tInstrument data\n\nnote: Oa## represents all the OLCI channels (Oa1 to Oa21).\n\n\nFor more information about the product, read the SENTINEL-3 OLCI [User Guide](https://sentinel.esa.int/web/sentinel/user-guides/sentinel-3-olci).","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C1286874966-LAADS.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://ladsweb.modaps.eosdis.nasa.gov/archive/allData/450/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C1286874966-LAADS","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://sentinel.esa.int/web/sentinel/user-guides/sentinel-3-olci/processing-levels/level-1","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"/SDE/CMR_API/|C1286874966-LAADS","keyword":["earth-science-atmospheric-radiation-atmosphere-reflectance","earth-science-infrared-wavelengths-spectral-engineering-reflected-infrared","earth-science-platform-characteristics-spectral-engineering","earth-science-platform-characteristics-spectral-engineering-attitude-characteristics","earth-science-visible-wavelengths-spectral-engineering-visible-radiance"],"license":"https://www.usa.gov/government-works","modified":"2026-09-01","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"ESA/ESRIN;NASA/GSFC/SED/ESD/HBSL/BISB/LAADS"},"spatial":"[\"CARTESIAN\", [{\"EastBoundingCoordinate\": 180, \"NorthBoundingCoordinate\": 90, \"SouthBoundingCoordinate\": -90, \"WestBoundingCoordinate\": -180}]]","temporal":"2016-04-25/2026-08-24","theme":["Earth Science"],"title":"OLCI/Sentinel-3A L1 Full Resolution Top of Atmosphere Reflectance"},"description":"The OLCI/Sentinel-3A L1 Full Resolution Top of Atmosphere Reflectance product, S3A_OL_1_EFR is generated from the data aquired by the Ocean and Land Colour Instrument (OLCI) on board European Earth Observation satellite mission, SENTINEL-3. The OLCI is a push-broom imaging spectrometer that measures solar radiation reflected by the Earth at a ground spatial resolution of around 300m, over all surfaces, in 21 spectral bands. OLCI is based on the imaging design of ENVISAT's Medium Resolution Imaging Spectrometer (MERIS). It has a 1270km wide swath. \n\nFor more information about the instrument and the mission, visit [Sentinel Online](https://sentinel.esa.int/web/sentinel/home). \n\nThe S3A_OL_1_EFR is a Level-1B product. This is composed of an information package map, called a manifest, 22 measurement data files, and seven annotation data files. The 21 measurement data files (one for each band) consist of Top Of Atmosphere (TOA) radiances, calibrated to geophysical units (W.m-2. sr-1 Micro meter-1), georeferenced onto the Earth's surface, and spatially resampled onto an evenly spaced grid. Seven annotation files provide information on illumination and observation geometry, environment data (meteorological data) and quality and classification flags. Both measurement data files and annotation data files are written in netCDF 4 format. The manifest file is in XML format and contains metadata associated with the instrument and the processing. The S3A_OL_1_EFR is generated in Earth Observation (EO) processing mode and all parameters in this product are provided for each re-gridded pixel on the product image and for each removed pixel.\n\n\nThe OL_1_EFR product package is described below:\n\nElement name \t Description\nManifest.safe \t SENTINEL-SAFE product manifest\nOa##_radiance.nc \tRadiance for OLCI acquisition bands 01 to 21\nRemoved_pixels.nc \tRemoved pixels information needed for Level-1C generation\nTime_coordinates.nc \tTime stamp annotations\nGeo_coordinates.nc \tHigh resolution georeferencing data\nQuality_flags.nc \tClassification and quality flags\nTie_geo_coordinates.nc \tLow resolution georeferencing data\nTie_geometries.nc \tSun and view angles\nTie_meteo.nc \t ECMWF meteorology data\nInstrument_data.nc \tInstrument data\n\nnote: Oa## represents all the OLCI channels (Oa1 to Oa21).\n\n\nFor more information about the product, read the SENTINEL-3 OLCI [User Guide](https://sentinel.esa.int/web/sentinel/user-guides/sentinel-3-olci).","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/7d1909b2-3341-445f-8329-15a6071db6f6","harvest_record_raw":"https://catalog.data.gov/harvest_record/7d1909b2-3341-445f-8329-15a6071db6f6/raw","has_download":true,"has_spatial":true,"identifier":"/SDE/CMR_API/|C1286874966-LAADS","keyword":["earth-science-atmospheric-radiation-atmosphere-reflectance","earth-science-infrared-wavelengths-spectral-engineering-reflected-infrared","earth-science-platform-characteristics-spectral-engineering","earth-science-platform-characteristics-spectral-engineering-attitude-characteristics","earth-science-visible-wavelengths-spectral-engineering-visible-radiance"],"last_harvested_date":"2026-09-02T00:29:01.206938","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"ESA/ESRIN;NASA/GSFC/SED/ESD/HBSL/BISB/LAADS","slug":"olci-sentinel-3a-l1-full-resolution-top-of-atmosphere-reflectance-2211d","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"OLCI/Sentinel-3A L1 Full Resolution Top of Atmosphere Reflectance","type":"dataset"},{"_score":10.006376,"_sort":[1788308940515,10.006376,1,"d7e2726f-5b4f-4e4e-8223-035c5533d14a"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The OLCI/Sentinel-3A L1 Reduced Resolution Top of Atmosphere Reflectance, S3A_OL_1_ERR is generated from the data aquired by the Ocean and Land Colour Instrument (OLCI) on board European Earth Observation satellite mission, SENTINEL-3. The OLCI is a push-broom imaging spectrometer that measures solar radiation reflected by the Earth at a ground spatial resolution of around 300m, over all surfaces, in 21 spectral bands. OLCI is based on the imaging design of ENVISAT's Medium Resolution Imaging Spectrometer (MERIS). It has a 1270km wide swath. \n\nFor more information about the instrument and the mission, visit [Sentinel Online](https://sentinel.esa.int/web/sentinel/home). \n\nThe S3A_OL_1_ERR is a Level-1B product. This is composed of an information package map, called a manifest, 22 measurement data files, and seven annotation data files. The 21 measurement data files (one for each band) consist of Top Of Atmosphere (TOA) radiances, calibrated to geophysical units (W.m-2. sr-1 Micro meter-1), georeferenced onto the Earth's surface, and spatially resampled onto an evenly spaced grid. Seven annotation files provide information on illumination and observation geometry, environment data (meteorological data) and quality and classification flags. Both measurement data files and annotation data files are written in netCDF 4 format. The manifest file is in XML format and contains metadata associated with the instrument and the processing. The S3A_OL_1_EFR is generated in Earth Observation (EO) processing mode and all parameters in this product are provided for each re-gridded pixel on the product image and for each removed pixel.\n\n\nThe OL_1_EFR product package is described below:\n\nElement name \t Description\nManifest.safe \t SENTINEL-SAFE product manifest\nOa##_radiance.nc \tRadiance for OLCI acquisition bands 01 to 21\nTime_coordinates.nc \tTime stamp annotations\nGeo_coordinates.nc \tHigh resolution georeferencing data\nQuality_flags.nc \tClassification and quality flags\nTie_geo_coordinates.nc \tLow resolution georeferencing data\nTie_geometries.nc \tSun and view angles\nTie_meteo.nc \t ECMWF meteorology data\nInstrument_data.nc \tInstrument data\n\nnote: Oa## represents all the OLCI channels (Oa1 to Oa21).\n\n\nFor more information about the product, read the SENTINEL-3 OLCI [User Guide](https://sentinel.esa.int/web/sentinel/user-guides/sentinel-3-olci)","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C1286876651-LAADS.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://ladsweb.modaps.eosdis.nasa.gov/archive/allData/450/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C1286876651-LAADS","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://sentinel.esa.int/web/sentinel/user-guides/sentinel-3-olci/processing-levels/level-1","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"/SDE/CMR_API/|C1286876651-LAADS","keyword":["earth-science-atmospheric-radiation-atmosphere-reflectance","earth-science-infrared-wavelengths-spectral-engineering-reflected-infrared","earth-science-platform-characteristics-spectral-engineering","earth-science-platform-characteristics-spectral-engineering-attitude-characteristics","earth-science-visible-wavelengths-spectral-engineering-visible-radiance"],"license":"https://www.usa.gov/government-works","modified":"2026-09-01","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"ESA/ESRIN;NASA/GSFC/SED/ESD/HBSL/BISB/LAADS"},"spatial":"[\"CARTESIAN\", [{\"EastBoundingCoordinate\": 180, \"NorthBoundingCoordinate\": 90, \"SouthBoundingCoordinate\": -90, \"WestBoundingCoordinate\": -180}]]","temporal":"2016-04-25/2026-08-24","theme":["Earth Science"],"title":"OLCI/Sentinel-3A L1 Reduced Resolution Top of Atmosphere Reflectance"},"description":"The OLCI/Sentinel-3A L1 Reduced Resolution Top of Atmosphere Reflectance, S3A_OL_1_ERR is generated from the data aquired by the Ocean and Land Colour Instrument (OLCI) on board European Earth Observation satellite mission, SENTINEL-3. The OLCI is a push-broom imaging spectrometer that measures solar radiation reflected by the Earth at a ground spatial resolution of around 300m, over all surfaces, in 21 spectral bands. OLCI is based on the imaging design of ENVISAT's Medium Resolution Imaging Spectrometer (MERIS). It has a 1270km wide swath. \n\nFor more information about the instrument and the mission, visit [Sentinel Online](https://sentinel.esa.int/web/sentinel/home). \n\nThe S3A_OL_1_ERR is a Level-1B product. This is composed of an information package map, called a manifest, 22 measurement data files, and seven annotation data files. The 21 measurement data files (one for each band) consist of Top Of Atmosphere (TOA) radiances, calibrated to geophysical units (W.m-2. sr-1 Micro meter-1), georeferenced onto the Earth's surface, and spatially resampled onto an evenly spaced grid. Seven annotation files provide information on illumination and observation geometry, environment data (meteorological data) and quality and classification flags. Both measurement data files and annotation data files are written in netCDF 4 format. The manifest file is in XML format and contains metadata associated with the instrument and the processing. The S3A_OL_1_EFR is generated in Earth Observation (EO) processing mode and all parameters in this product are provided for each re-gridded pixel on the product image and for each removed pixel.\n\n\nThe OL_1_EFR product package is described below:\n\nElement name \t Description\nManifest.safe \t SENTINEL-SAFE product manifest\nOa##_radiance.nc \tRadiance for OLCI acquisition bands 01 to 21\nTime_coordinates.nc \tTime stamp annotations\nGeo_coordinates.nc \tHigh resolution georeferencing data\nQuality_flags.nc \tClassification and quality flags\nTie_geo_coordinates.nc \tLow resolution georeferencing data\nTie_geometries.nc \tSun and view angles\nTie_meteo.nc \t ECMWF meteorology data\nInstrument_data.nc \tInstrument data\n\nnote: Oa## represents all the OLCI channels (Oa1 to Oa21).\n\n\nFor more information about the product, read the SENTINEL-3 OLCI [User Guide](https://sentinel.esa.int/web/sentinel/user-guides/sentinel-3-olci)","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/1a9bf8b9-2195-4201-982f-2f1f6b7ad22c","harvest_record_raw":"https://catalog.data.gov/harvest_record/1a9bf8b9-2195-4201-982f-2f1f6b7ad22c/raw","has_download":true,"has_spatial":true,"identifier":"/SDE/CMR_API/|C1286876651-LAADS","keyword":["earth-science-atmospheric-radiation-atmosphere-reflectance","earth-science-infrared-wavelengths-spectral-engineering-reflected-infrared","earth-science-platform-characteristics-spectral-engineering","earth-science-platform-characteristics-spectral-engineering-attitude-characteristics","earth-science-visible-wavelengths-spectral-engineering-visible-radiance"],"last_harvested_date":"2026-09-02T00:29:00.515806","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"ESA/ESRIN;NASA/GSFC/SED/ESD/HBSL/BISB/LAADS","slug":"olci-sentinel-3a-l1-reduced-resolution-top-of-atmosphere-reflectance-d3f70","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"OLCI/Sentinel-3A L1 Reduced Resolution Top of Atmosphere Reflectance","type":"dataset"},{"_score":59.372894,"_sort":[1788308889547,59.372894,1,"4d53b6fc-713f-4213-845c-ada347667a8e"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"TOLNet_ECCC_Data is the lidar data collected by the Autonomous Mobile Ozone LIDAR instrument for Tropospheric Experiments (AMOLITE) lidar at Environment and Climate Change Canada (ECCC) in Toronto, Canada as part of the Tropospheric Ozone Lidar Network (TOLNet). Data collection for this product is ongoing.\r\n\r\nIn the troposphere, ozone is considered a pollutant and is important to understand due to its harmful effects on human health and vegetation. Tropospheric ozone is also significant for its impact on climate as a greenhouse gas. Operating since 2011, TOLNet is an interagency collaboration between NASA, NOAA, and the EPA designed to perform studies of air quality and atmospheric modeling as well as validation and interpretation of satellite observations. TOLNet is currently comprised of six Differential Absorption Lidars (DIAL). Each of the lidars are unique, and some have had a long history of ozone observations prior to joining the network. Five lidars are mobile systems that can be deployed at remote locations to support field campaigns. This includes the Langley Mobile Ozone Lidar (LMOL) at NASA Langley Research Center (LaRC), the Tropospheric Ozone (TROPOZ) lidar at the Goddard Space Flight Center (GSFC), the Tunable Optical Profile for Aerosol and oZone (TOPAZ) lidar at the NOAA Chemical Sciences Laboratory (CSL) in Boulder, Colorado, the Autonomous Mobile Ozone LIDAR instrument for Tropospheric Experiments (AMOLITE) lidar at Environment and Climate Change Canada (ECCC) in Toronto, Canada, and the Rocket-city O3 Quality Evaluation in the Troposphere (RO3QET) lidar at the University of Alabama in Huntsville, Alabama. \r\nThe remaining lidars, the Table Mountain Facility (TMF) tropospheric ozone lidar system located at the NASA Jet Propulsion Laboratory (JPL), and City College of New York (CCNY) New York Tropospheric Ozone Lidar System (NYTOLS) are fixed systems.\r\n\r\nTOLNet seeks to address three science objectives. The primary objective of the network is to provide high spatio-temporal measurements of ozone from near the surface to the top of the troposphere. Detailed observations of ozone structure allow science teams and the modeling community to better understand ozone in the lower-atmosphere and to assess the accuracy and vertical resolution with which geosynchronous instruments could retrieve the observed laminar ozone structures. Another objective of TOLNet is to identify an ozone lidar instrument design that would be suitable to address the needs of NASA, NOAA, and EPA air quality scientists who express a desire for these ozone profiles. The third objective of TOLNET is to perform basic scientific research into the processes create and destroy the ubiquitously observed ozone laminae and other ozone features in the troposphere. To help fulfill these objectives, lidars that are a part of TOLNet have been deployed to support nearly ten campaigns thus far. This includes campaigns such as the Deriving Information on Surface conditions from Column and Vertically Resolved Observations Relevant to Air Quality (DISCOVER-AQ) mission, the Korea United States Air Quality Study (KORUS-AQ), the Tracking Aerosol Convection ExpeRiment \u2013 Air Quality (TRACER-AQ) campaign, the Front Range Air Pollution and Photochemistry \u00c9xperiment (FRAPP\u00c9), the Long Island Sound Tropospheric Ozone Study (LISTOS), and the Ozone Water\u2013Land Environmental Transition Study (OWLETS).","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C3880797596-LARC_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/citing-data","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/outreach-material/introduction-to-tolnet-storymap","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/outreach-material/tolnet-stratospheric-intrusion-storymap","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/wagdocuments/473/TOLNet_Lidars_and_Corresponding_Campaigns.docx","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://cmr.earthdata.nasa.gov/virtual-directory/collections/C3880797596-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.1175/JTECH-D-10-05043.1","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.1175/JTECH-D-10-05044.1","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.1364/AO.41.007550","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/Lidar/Ozone/TOLNet/ECCC","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5194/amt-10-3865-2017","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5194/amt-6-801-2013","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5194/amt-7-3529-2014","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://dx.doi.org/10.1364/AO.52.003557","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C3880797596-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://tolnet.larc.nasa.gov/","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/Lidar/Ozone/TOLNet/ECCC","keyword":["earth-science-air-quality-atmosphere-tropospheric-ozone","earth-science-atmospheric-chemistry-atmosphere-oxygen-compounds","earth-science-atmospheric-chemistry-atmosphere-trace-gases-trace-species","earth-science-atmospheric-pressure-atmosphere","earth-science-atmospheric-temperature-atmosphere"],"license":"https://www.usa.gov/government-works","modified":"2026-09-01","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/LARC/SD/ASDC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -111.7, \"EastBoundingCoordinate\": -111.6, \"SouthBoundingCoordinate\": 57.1, \"NorthBoundingCoordinate\": 57.2}]], Maximum Altitude, 20 km","temporal":"2016-11-04/2026-08-24","theme":["Earth Science"],"title":"TOLNet Environment and Climate Change Canada Data"},"description":"TOLNet_ECCC_Data is the lidar data collected by the Autonomous Mobile Ozone LIDAR instrument for Tropospheric Experiments (AMOLITE) lidar at Environment and Climate Change Canada (ECCC) in Toronto, Canada as part of the Tropospheric Ozone Lidar Network (TOLNet). Data collection for this product is ongoing.\r\n\r\nIn the troposphere, ozone is considered a pollutant and is important to understand due to its harmful effects on human health and vegetation. Tropospheric ozone is also significant for its impact on climate as a greenhouse gas. Operating since 2011, TOLNet is an interagency collaboration between NASA, NOAA, and the EPA designed to perform studies of air quality and atmospheric modeling as well as validation and interpretation of satellite observations. TOLNet is currently comprised of six Differential Absorption Lidars (DIAL). Each of the lidars are unique, and some have had a long history of ozone observations prior to joining the network. Five lidars are mobile systems that can be deployed at remote locations to support field campaigns. This includes the Langley Mobile Ozone Lidar (LMOL) at NASA Langley Research Center (LaRC), the Tropospheric Ozone (TROPOZ) lidar at the Goddard Space Flight Center (GSFC), the Tunable Optical Profile for Aerosol and oZone (TOPAZ) lidar at the NOAA Chemical Sciences Laboratory (CSL) in Boulder, Colorado, the Autonomous Mobile Ozone LIDAR instrument for Tropospheric Experiments (AMOLITE) lidar at Environment and Climate Change Canada (ECCC) in Toronto, Canada, and the Rocket-city O3 Quality Evaluation in the Troposphere (RO3QET) lidar at the University of Alabama in Huntsville, Alabama. \r\nThe remaining lidars, the Table Mountain Facility (TMF) tropospheric ozone lidar system located at the NASA Jet Propulsion Laboratory (JPL), and City College of New York (CCNY) New York Tropospheric Ozone Lidar System (NYTOLS) are fixed systems.\r\n\r\nTOLNet seeks to address three science objectives. The primary objective of the network is to provide high spatio-temporal measurements of ozone from near the surface to the top of the troposphere. Detailed observations of ozone structure allow science teams and the modeling community to better understand ozone in the lower-atmosphere and to assess the accuracy and vertical resolution with which geosynchronous instruments could retrieve the observed laminar ozone structures. Another objective of TOLNet is to identify an ozone lidar instrument design that would be suitable to address the needs of NASA, NOAA, and EPA air quality scientists who express a desire for these ozone profiles. The third objective of TOLNET is to perform basic scientific research into the processes create and destroy the ubiquitously observed ozone laminae and other ozone features in the troposphere. To help fulfill these objectives, lidars that are a part of TOLNet have been deployed to support nearly ten campaigns thus far. This includes campaigns such as the Deriving Information on Surface conditions from Column and Vertically Resolved Observations Relevant to Air Quality (DISCOVER-AQ) mission, the Korea United States Air Quality Study (KORUS-AQ), the Tracking Aerosol Convection ExpeRiment \u2013 Air Quality (TRACER-AQ) campaign, the Front Range Air Pollution and Photochemistry \u00c9xperiment (FRAPP\u00c9), the Long Island Sound Tropospheric Ozone Study (LISTOS), and the Ozone Water\u2013Land Environmental Transition Study (OWLETS).","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/56a1fac3-fe14-434a-b05b-ec25643bd4c1","harvest_record_raw":"https://catalog.data.gov/harvest_record/56a1fac3-fe14-434a-b05b-ec25643bd4c1/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/Lidar/Ozone/TOLNet/ECCC","keyword":["earth-science-air-quality-atmosphere-tropospheric-ozone","earth-science-atmospheric-chemistry-atmosphere-oxygen-compounds","earth-science-atmospheric-chemistry-atmosphere-trace-gases-trace-species","earth-science-atmospheric-pressure-atmosphere","earth-science-atmospheric-temperature-atmosphere"],"last_harvested_date":"2026-09-02T00:28:09.547828","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"NASA/LARC/SD/ASDC","slug":"tolnet-environment-and-climate-change-canada-data","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"TOLNet Environment and Climate Change Canada Data","type":"dataset"},{"_score":8.167385,"_sort":[1788308889199,8.167385,5,"78e42632-9d2f-473a-9a39-241eb433b8d0"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"TOLNet_CSL_Data is the lidar data collected by the Tunable Optical Profile for Aerosol and oZone (TOPAZ) lidar at the NOAA Chemical Sciences Laboratory (CSL) in Boulder, Colorado as part of the Tropospheric Ozone Lidar Network (TOLNet). Data collection for this product is ongoing.\r\n\r\nIn the troposphere, ozone is considered a pollutant and is important to understand due to its harmful effects on human health and vegetation. Tropospheric ozone is also significant for its impact on climate as a greenhouse gas. Operating since 2011, TOLNet is an interagency collaboration between NASA, NOAA, and the EPA designed to perform studies of air quality and atmospheric modeling as well as validation and interpretation of satellite observations. TOLNet is currently comprised of seven Differential Absorption Lidars (DIAL). Each of the lidars are unique, and some have had a long history of ozone observations prior to joining the network. Five lidars are mobile systems that can be deployed at remote locations to support field campaigns. This includes the Langley Mobile Ozone Lidar (LMOL) at NASA Langley Research Center (LaRC), the Tropospheric Ozone (TROPOZ) lidar at the Goddard Space Flight Center (GSFC), the Tunable Optical Profile for Aerosol and oZone (TOPAZ) lidar at the NOAA Chemical Sciences Laboratory (CSL) in Boulder, Colorado, the Autonomous Mobile Ozone LIDAR instrument for Tropospheric Experiments (AMOLITE) lidar at Environment and Climate Change Canada (ECCC) in Toronto, Canada, and the Rocket-city O3 Quality Evaluation in the Troposphere (RO3QET) lidar at the University of Alabama in Huntsville, Alabama. The remaining lidars, the Table Mountain Facility (TMF) tropospheric ozone lidar system located at the NASA Jet Propulsion Laboratory (JPL), and City College of New York (CCNY) New York Tropospheric Ozone Lidar System (NYTOLS) are fixed systems.\r\n\r\nTOLNet seeks to address three science objectives. The primary objective of the network is to provide high spatio-temporal measurements of ozone from near the surface to the top of the troposphere. Detailed observations of ozone structure allow science teams and the modeling community to better understand ozone in the lower-atmosphere and to assess the accuracy and vertical resolution with which geosynchronous instruments could retrieve the observed laminar ozone structures. Another objective of TOLNet is to identify an ozone lidar instrument design that would be suitable to address the needs of NASA, NOAA, and EPA air quality scientists who express a desire for these ozone profiles. The third objective of TOLNET is to perform basic scientific research into the processes create and destroy the ubiquitously observed ozone laminae and other ozone features in the troposphere. To help fulfill these objectives, lidars that are a part of TOLNet have been deployed to support nearly ten campaigns thus far. This includes campaigns such as the Deriving Information on Surface conditions from Column and Vertically Resolved Observations Relevant to Air Quality (DISCOVER-AQ) mission, the Korea United States Air Quality Study (KORUS-AQ), the Tracking Aerosol Convection ExpeRiment \u2013 Air Quality (TRACER-AQ) campaign, the Front Range Air Pollution and Photochemistry \u00c9xperiment (FRAPP\u00c9), the Long Island Sound Tropospheric Ozone Study (LISTOS), and the Ozone Water\u2013Land Environmental Transition Study (OWLETS).","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C3880797856-LARC_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/citing-data","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/outreach-material/introduction-to-tolnet-storymap","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/outreach-material/tolnet-stratospheric-intrusion-storymap","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/wagdocuments/473/TOLNet_Lidars_and_Corresponding_Campaigns.docx","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://cmr.earthdata.nasa.gov/virtual-directory/collections/C3880797856-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.1175/JTECH-D-10-05043.1","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.1175/JTECH-D-10-05044.1","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.1364/AO.41.007550","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/Lidar/Ozone/TOLNet/NOAA-CSL","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5194/amt-10-3865-2017","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5194/amt-6-801-2013","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5194/amt-7-3529-2014","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://dx.doi.org/10.1364/AO.52.003557","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C3880797856-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://tolnet.larc.nasa.gov/","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/Lidar/Ozone/TOLNet/NOAA-CSL","keyword":["earth-science-air-quality-atmosphere-tropospheric-ozone","earth-science-atmospheric-chemistry-atmosphere-oxygen-compounds","earth-science-atmospheric-chemistry-atmosphere-trace-gases-trace-species","earth-science-atmospheric-pressure-atmosphere","earth-science-atmospheric-pressure-atmosphere-surface-pressure","earth-science-atmospheric-temperature-atmosphere","earth-science-atmospheric-winds-atmosphere-surface-winds"],"license":"https://www.usa.gov/government-works","modified":"2026-09-01","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/LARC/SD/ASDC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -119.5, \"EastBoundingCoordinate\": -72.72, \"SouthBoundingCoordinate\": 34.3, \"NorthBoundingCoordinate\": 41.26}]], Maximum Altitude, 10 km","temporal":"2015-03-04/2026-08-24","theme":["Earth Science"],"title":"TOLNet NOAA Chemical Sciences Laboratory Data"},"description":"TOLNet_CSL_Data is the lidar data collected by the Tunable Optical Profile for Aerosol and oZone (TOPAZ) lidar at the NOAA Chemical Sciences Laboratory (CSL) in Boulder, Colorado as part of the Tropospheric Ozone Lidar Network (TOLNet). Data collection for this product is ongoing.\r\n\r\nIn the troposphere, ozone is considered a pollutant and is important to understand due to its harmful effects on human health and vegetation. Tropospheric ozone is also significant for its impact on climate as a greenhouse gas. Operating since 2011, TOLNet is an interagency collaboration between NASA, NOAA, and the EPA designed to perform studies of air quality and atmospheric modeling as well as validation and interpretation of satellite observations. TOLNet is currently comprised of seven Differential Absorption Lidars (DIAL). Each of the lidars are unique, and some have had a long history of ozone observations prior to joining the network. Five lidars are mobile systems that can be deployed at remote locations to support field campaigns. This includes the Langley Mobile Ozone Lidar (LMOL) at NASA Langley Research Center (LaRC), the Tropospheric Ozone (TROPOZ) lidar at the Goddard Space Flight Center (GSFC), the Tunable Optical Profile for Aerosol and oZone (TOPAZ) lidar at the NOAA Chemical Sciences Laboratory (CSL) in Boulder, Colorado, the Autonomous Mobile Ozone LIDAR instrument for Tropospheric Experiments (AMOLITE) lidar at Environment and Climate Change Canada (ECCC) in Toronto, Canada, and the Rocket-city O3 Quality Evaluation in the Troposphere (RO3QET) lidar at the University of Alabama in Huntsville, Alabama. The remaining lidars, the Table Mountain Facility (TMF) tropospheric ozone lidar system located at the NASA Jet Propulsion Laboratory (JPL), and City College of New York (CCNY) New York Tropospheric Ozone Lidar System (NYTOLS) are fixed systems.\r\n\r\nTOLNet seeks to address three science objectives. The primary objective of the network is to provide high spatio-temporal measurements of ozone from near the surface to the top of the troposphere. Detailed observations of ozone structure allow science teams and the modeling community to better understand ozone in the lower-atmosphere and to assess the accuracy and vertical resolution with which geosynchronous instruments could retrieve the observed laminar ozone structures. Another objective of TOLNet is to identify an ozone lidar instrument design that would be suitable to address the needs of NASA, NOAA, and EPA air quality scientists who express a desire for these ozone profiles. The third objective of TOLNET is to perform basic scientific research into the processes create and destroy the ubiquitously observed ozone laminae and other ozone features in the troposphere. To help fulfill these objectives, lidars that are a part of TOLNet have been deployed to support nearly ten campaigns thus far. This includes campaigns such as the Deriving Information on Surface conditions from Column and Vertically Resolved Observations Relevant to Air Quality (DISCOVER-AQ) mission, the Korea United States Air Quality Study (KORUS-AQ), the Tracking Aerosol Convection ExpeRiment \u2013 Air Quality (TRACER-AQ) campaign, the Front Range Air Pollution and Photochemistry \u00c9xperiment (FRAPP\u00c9), the Long Island Sound Tropospheric Ozone Study (LISTOS), and the Ozone Water\u2013Land Environmental Transition Study (OWLETS).","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/b1b4d6c4-d7d8-477a-ba07-2415098e5fa1","harvest_record_raw":"https://catalog.data.gov/harvest_record/b1b4d6c4-d7d8-477a-ba07-2415098e5fa1/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/Lidar/Ozone/TOLNet/NOAA-CSL","keyword":["earth-science-air-quality-atmosphere-tropospheric-ozone","earth-science-atmospheric-chemistry-atmosphere-oxygen-compounds","earth-science-atmospheric-chemistry-atmosphere-trace-gases-trace-species","earth-science-atmospheric-pressure-atmosphere","earth-science-atmospheric-pressure-atmosphere-surface-pressure","earth-science-atmospheric-temperature-atmosphere","earth-science-atmospheric-winds-atmosphere-surface-winds"],"last_harvested_date":"2026-09-02T00:28:09.199680","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":5,"publisher":"NASA/LARC/SD/ASDC","slug":"tolnet-noaa-chemical-sciences-laboratory-data","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"TOLNet NOAA Chemical Sciences Laboratory Data","type":"dataset"},{"_score":19.432577,"_sort":[1788308881877,19.432577,1,"3751ff6a-b1c0-4b99-af4a-98c8a91a1409"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"This data set contains raw time-of-flight measurements for Antarctica and Greenland acquired by the Sigma Space Lidar. The data were collected by scientists working on the Investigating the Cryospheric Evolution of the Central Antarctic Plate (ICECAP) project, which is funded by the National Science Foundation (NSF) and the Natural Environment Research Council (NERC), with additional support from NASA Operation IceBridge.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C1386246501-NSIDCV0.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://daacdata.apps.nsidc.org/pub/DATASETS/ICEBRIDGE/ILSIG0_SigmaSpaceRaw_v01/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/80E71K2FWDBQ","format":"HTML","mediaType":"text/html"}],"identifier":"10.5067/80E71K2FWDBQ","keyword":["earth-science-platform-characteristics-spectral-engineering-flight-data-logs"],"license":"https://www.usa.gov/government-works","modified":"2026-09-01","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA NSIDC DAAC;UTX-AUSTIN/IG"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -180.0, \"NorthBoundingCoordinate\": 90.0, \"EastBoundingCoordinate\": 180.0, \"SouthBoundingCoordinate\": 60.0}, {\"WestBoundingCoordinate\": -180.0, \"NorthBoundingCoordinate\": -53.0, \"EastBoundingCoordinate\": 180.0, \"SouthBoundingCoordinate\": -90.0}]]","temporal":"2010-11-25/2011-12-23","theme":["Earth Science"],"title":"IceBridge Sigma Space Lidar L0 Raw Time-of-Flight Data, Version 1"},"description":"This data set contains raw time-of-flight measurements for Antarctica and Greenland acquired by the Sigma Space Lidar. The data were collected by scientists working on the Investigating the Cryospheric Evolution of the Central Antarctic Plate (ICECAP) project, which is funded by the National Science Foundation (NSF) and the Natural Environment Research Council (NERC), with additional support from NASA Operation IceBridge.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/1b653b8a-f932-42bb-8c4b-27ae2e76477e","harvest_record_raw":"https://catalog.data.gov/harvest_record/1b653b8a-f932-42bb-8c4b-27ae2e76477e/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/80E71K2FWDBQ","keyword":["earth-science-platform-characteristics-spectral-engineering-flight-data-logs"],"last_harvested_date":"2026-09-02T00:28:01.877616","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"NASA NSIDC DAAC;UTX-AUSTIN/IG","slug":"icebridge-sigma-space-lidar-l0-raw-time-of-flight-data-version-1","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"IceBridge Sigma Space Lidar L0 Raw Time-of-Flight Data, Version 1","type":"dataset"},{"_score":8.185686,"_sort":[1788308877368,8.185686,1,"630bb4ce-e5cb-42d7-81e1-a73988ba8673"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"NARSTO_PAC2001_CASSIAR_TUNNEL_GAS_PM_DATA is the North American Research Strategy for Tropospheric Ozone (NARSTO) Pacific 2001 Air Quality Study (PAC2001) Cassiar Tunnel Gaseous and Particle Mass and Composition Data product. This data product was obtained from August 8-15, 2001 during the PAC2001.The Cassiar Tunnel site is located at 49 17' 01.9 N and 123 01' 54.2 W, at 40 m above sea level (a.s.l.). The tunnel is used mostly by light duty traffic with peak traffic volumes at rush hours. \r\n\r\nThe goal of measurements at this site was to reduce the uncertainty in mobile source inventory for gas and particle emissions from light duty traffic sources, emphasizing the emissions of the precursors to Particulate Matter (PM) formation and primary PM emissions for comparison with tailpipe emissions data from traditional testing conducted in laboratory on mobile source emissions, particularly for mass emission rates and chemical profiles. For several measurements, different sampling and analytical techniques were used as a check on the accuracy of the measurements. For most gas measurements, two sets of instruments were deployed, one at each end of the tunnel, whereas most of the PM measurements were conducted at the exit end of the tunnel. Gas measurements included the typical pollution gases (SF6 as the tracer, NOx, N2O, CO, CO2, methane, SO2, VOCs, carbonyls, organic acids, NH3, Graham and Gray, 2002). \r\n\r\nThe PM chemical and physical properties were measured in great details. For physical properties, particle number size distributions from 10 nm to 3 um were measured, and hygroscopic properties were measured at two sizes (Prenni et al., 2002). Chemical measurements characterized the mass, inorganic and carbonaceous compositions of the primary particles. The PAC2001 was conducted from August 1 until September 31, 2001 in the Lower Fraser Valley (LFV), British Columbia, Canada. The study consisted of individual research projects organized to address several issues on ambient particulate matter and ozone that are important to policy makers. A special issue of Atmospheric Environment [Vol. 38(34), Nov 2004] described specific study objectives (Li, 2004) and presented a series of results papers from the field study. The ground sampling sites during the study were (1) Cassiar Tunnel, (2) Slocan Park, (3) Langley Ecole Lochiel, (4) Sumas Eagle Ridge, and (5) Golden Ears Provincial Park. Aloft measurements were taken from a Convair 580 and a Cessna 188. Selected measurement data were compiled for each site and aircraft and are archived as site-specific data sets.\r\n\r\nNARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C3880765586-LARC_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/data/NARSTO/PAC2001_CASSIAR_TUNNEL_GAS_PM_DATA_1/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/narsto/guide/narsto_pac2001_cassiar_tunnel_gas_pm_data.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/narsto/narsto_texas_final_report.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/narsto/readme/Intro_1_2.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/narsto/readme/PAC2001_qa_plans.zip","format":"ZIP","mediaType":"application/zip"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/narsto/readme/Pacific_2001_project_plan.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/narsto/readme/Sect_5_6.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/narsto/readme/Section_3.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/narsto/readme/Section_4.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/ASDCDAAC/NARSTO/0016","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C3880765586-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.earthdata.nasa.gov/data/projects/narsto","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.earthdata.nasa.gov/engage/open-data-services-software-policies/data-use-guidance","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/ASDCDAAC/NARSTO/0016","keyword":["earth-science-aerosols-atmosphere-aerosol-particle-properties","earth-science-aerosols-atmosphere-carbonaceous-aerosols","earth-science-aerosols-atmosphere-particulate-matter","earth-science-air-quality-atmosphere-nitrogen-oxides","earth-science-atmospheric-chemistry-atmosphere-carbon-and-hydrocarbon-compounds"],"license":"https://www.usa.gov/government-works","modified":"2026-09-01","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/LARC/SD/ASDC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -123.04, \"EastBoundingCoordinate\": -123.02, \"SouthBoundingCoordinate\": 49.27, \"NorthBoundingCoordinate\": 49.29}]]","temporal":"2001-08-08/2001-08-15","theme":["Earth Science"],"title":"NARSTO Pacific 2001 Air Quality Study (PAC2001) Cassiar Tunnel Gaseous and Particle Mass and Composition Data"},"description":"NARSTO_PAC2001_CASSIAR_TUNNEL_GAS_PM_DATA is the North American Research Strategy for Tropospheric Ozone (NARSTO) Pacific 2001 Air Quality Study (PAC2001) Cassiar Tunnel Gaseous and Particle Mass and Composition Data product. This data product was obtained from August 8-15, 2001 during the PAC2001.The Cassiar Tunnel site is located at 49 17' 01.9 N and 123 01' 54.2 W, at 40 m above sea level (a.s.l.). The tunnel is used mostly by light duty traffic with peak traffic volumes at rush hours. \r\n\r\nThe goal of measurements at this site was to reduce the uncertainty in mobile source inventory for gas and particle emissions from light duty traffic sources, emphasizing the emissions of the precursors to Particulate Matter (PM) formation and primary PM emissions for comparison with tailpipe emissions data from traditional testing conducted in laboratory on mobile source emissions, particularly for mass emission rates and chemical profiles. For several measurements, different sampling and analytical techniques were used as a check on the accuracy of the measurements. For most gas measurements, two sets of instruments were deployed, one at each end of the tunnel, whereas most of the PM measurements were conducted at the exit end of the tunnel. Gas measurements included the typical pollution gases (SF6 as the tracer, NOx, N2O, CO, CO2, methane, SO2, VOCs, carbonyls, organic acids, NH3, Graham and Gray, 2002). \r\n\r\nThe PM chemical and physical properties were measured in great details. For physical properties, particle number size distributions from 10 nm to 3 um were measured, and hygroscopic properties were measured at two sizes (Prenni et al., 2002). Chemical measurements characterized the mass, inorganic and carbonaceous compositions of the primary particles. The PAC2001 was conducted from August 1 until September 31, 2001 in the Lower Fraser Valley (LFV), British Columbia, Canada. The study consisted of individual research projects organized to address several issues on ambient particulate matter and ozone that are important to policy makers. A special issue of Atmospheric Environment [Vol. 38(34), Nov 2004] described specific study objectives (Li, 2004) and presented a series of results papers from the field study. The ground sampling sites during the study were (1) Cassiar Tunnel, (2) Slocan Park, (3) Langley Ecole Lochiel, (4) Sumas Eagle Ridge, and (5) Golden Ears Provincial Park. Aloft measurements were taken from a Convair 580 and a Cessna 188. Selected measurement data were compiled for each site and aircraft and are archived as site-specific data sets.\r\n\r\nNARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/217d12a8-c82a-4575-9aeb-36eee41afa55","harvest_record_raw":"https://catalog.data.gov/harvest_record/217d12a8-c82a-4575-9aeb-36eee41afa55/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/ASDCDAAC/NARSTO/0016","keyword":["earth-science-aerosols-atmosphere-aerosol-particle-properties","earth-science-aerosols-atmosphere-carbonaceous-aerosols","earth-science-aerosols-atmosphere-particulate-matter","earth-science-air-quality-atmosphere-nitrogen-oxides","earth-science-atmospheric-chemistry-atmosphere-carbon-and-hydrocarbon-compounds"],"last_harvested_date":"2026-09-02T00:27:57.368175","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"NASA/LARC/SD/ASDC","slug":"narsto-pacific-2001-air-quality-study-pac2001-cassiar-tunnel-gaseous-and-particle-mass-and","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"NARSTO Pacific 2001 Air Quality Study (PAC2001) Cassiar Tunnel Gaseous and Particle Mass and Composition Data","type":"dataset"},{"_score":8.221207,"_sort":[1788308877038,8.221207,2,"c7e182e4-5131-41c5-b2b2-d834454ff54b"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"NARSTO_PAC2001_GOLDEN_EARS_GAS_PM_DATA is the North American Research Strategy for Tropospheric Ozone (NARSTO) Pacific 2001 Air Quality Study (PAC2001) Golden Ears Gaseous, Particulate Matter (PM), and Meteorological Data product. Data was obtained from August 3-11, 2001 during PAC2001. The Golden Ears Provincial Park (GEP) site was situated at 49.27783 N, 120.51544 W, and 220 m above sea level (a.s.l.), about 45 km east of Vancouver in the Coastal Mountains. The sampling site, located at the park ranger headquarters compound, was in a small forest clearing of about 65 x 130 m and was surrounded by tall coniferous trees (dominated by Western Hemlock, Western Red Cedar, and Douglas Fir, typically seen in the Coastal Mountains) with canopy heights about 10-15 m near the site but rising to over 30 m in the park in general. The temporary labs were about 10 m away from the closest trees. The closest urban area, Maple Ridge, is about 8 km to the south. \r\n\r\nDifferent from the other sites, the Golden Ears Provincial Park site was dedicated to the question of secondary biogenic particles production from forestry precursors. The 1995 emission inventories for the LFV indicate strong monoterpene emissions from forests in the Coastal Mountains and the Cascade Ranges. A previous study here showed significant ambient concentrations of terpenes. Monoterpenes are converted into particles in the gas phase with high yields. While the forests were known to release monoterpenes, the magnitude of the contribution to fine particles in the LFV was not clear. Measurements at the GEP site were designed to provide information on secondary biogenic particle production from forestry precursors, such as monoterpenes. \r\n\r\nPAC2001 was conducted from August 1 to September 31, 2001 in the Lower Fraser Valley (LFV), British Columbia, Canada. The study consisted of individual research projects organized to address several issues on ambient PM and ozone that are important to policy makers. A special issue of Atmospheric Environment [Vol. 38(34), Nov 2004] described specific study objectives (Li, 2004) and presented a series of results papers from the field study. There were 5 ground sampling sites during the study, which included: Cassiar Tunnel, Slocan Park, Langley Ecole Lochiel, Sumas Eagle Ridge, and Golden Ears Provincial Park. Aloft measurements were taken from a Convair 580 and a Cessna 188. Selected measurement data were compiled for each site and aircraft and are archived as site-specific data sets.\r\n\r\nNorth American Research Strategy for Tropospheric Ozone (NARSTO), which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C3880765674-LARC_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/data/NARSTO/PAC2001_GOLDEN_EARS_GAS_PM_DATA_1/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/narsto/guide/narsto_pac2001_golden_ears_gas_pm_data.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/narsto/narsto_texas_final_report.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/narsto/readme/Intro_1_2.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/narsto/readme/PAC2001_qa_plans.zip","format":"ZIP","mediaType":"application/zip"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/narsto/readme/Sect_5_6.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/narsto/readme/Section_3.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/narsto/readme/Section_4.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/ASDCDAAC/NARSTO/0013","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C3880765674-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.earthdata.nasa.gov/data/projects/narsto","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.earthdata.nasa.gov/engage/open-data-services-software-policies/data-use-guidance","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/ASDCDAAC/NARSTO/0013","keyword":["earth-science-aerosols-atmosphere-aerosol-particle-properties","earth-science-aerosols-atmosphere-carbonaceous-aerosols","earth-science-aerosols-atmosphere-nitrate-particles","earth-science-air-quality-atmosphere-nitrogen-oxides","earth-science-air-quality-atmosphere-volatile-organic-compounds","earth-science-atmospheric-chemistry-atmosphere-oxygen-compounds","earth-science-atmospheric-chemistry-atmosphere-sulfur-compounds","earth-science-atmospheric-pressure-atmosphere-atmospheric-pressure-measurements","earth-science-atmospheric-temperature-atmosphere-surface-temperature","earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators","earth-science-atmospheric-winds-atmosphere-surface-winds"],"license":"https://www.usa.gov/government-works","modified":"2026-09-01","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/LARC/SD/ASDC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -122.58, \"EastBoundingCoordinate\": -122.5, \"SouthBoundingCoordinate\": 49.27, \"NorthBoundingCoordinate\": 49.28}]]","temporal":"2001-08-03/2001-08-11","theme":["Earth Science"],"title":"NARSTO Pacific 2001 Air Quality Study (PAC2001) Golden Ears Gaseous and Particulate Matter (PM) Data"},"description":"NARSTO_PAC2001_GOLDEN_EARS_GAS_PM_DATA is the North American Research Strategy for Tropospheric Ozone (NARSTO) Pacific 2001 Air Quality Study (PAC2001) Golden Ears Gaseous, Particulate Matter (PM), and Meteorological Data product. Data was obtained from August 3-11, 2001 during PAC2001. The Golden Ears Provincial Park (GEP) site was situated at 49.27783 N, 120.51544 W, and 220 m above sea level (a.s.l.), about 45 km east of Vancouver in the Coastal Mountains. The sampling site, located at the park ranger headquarters compound, was in a small forest clearing of about 65 x 130 m and was surrounded by tall coniferous trees (dominated by Western Hemlock, Western Red Cedar, and Douglas Fir, typically seen in the Coastal Mountains) with canopy heights about 10-15 m near the site but rising to over 30 m in the park in general. The temporary labs were about 10 m away from the closest trees. The closest urban area, Maple Ridge, is about 8 km to the south. \r\n\r\nDifferent from the other sites, the Golden Ears Provincial Park site was dedicated to the question of secondary biogenic particles production from forestry precursors. The 1995 emission inventories for the LFV indicate strong monoterpene emissions from forests in the Coastal Mountains and the Cascade Ranges. A previous study here showed significant ambient concentrations of terpenes. Monoterpenes are converted into particles in the gas phase with high yields. While the forests were known to release monoterpenes, the magnitude of the contribution to fine particles in the LFV was not clear. Measurements at the GEP site were designed to provide information on secondary biogenic particle production from forestry precursors, such as monoterpenes. \r\n\r\nPAC2001 was conducted from August 1 to September 31, 2001 in the Lower Fraser Valley (LFV), British Columbia, Canada. The study consisted of individual research projects organized to address several issues on ambient PM and ozone that are important to policy makers. A special issue of Atmospheric Environment [Vol. 38(34), Nov 2004] described specific study objectives (Li, 2004) and presented a series of results papers from the field study. There were 5 ground sampling sites during the study, which included: Cassiar Tunnel, Slocan Park, Langley Ecole Lochiel, Sumas Eagle Ridge, and Golden Ears Provincial Park. Aloft measurements were taken from a Convair 580 and a Cessna 188. Selected measurement data were compiled for each site and aircraft and are archived as site-specific data sets.\r\n\r\nNorth American Research Strategy for Tropospheric Ozone (NARSTO), which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/810a0979-e220-48c4-abbe-07784d10ae90","harvest_record_raw":"https://catalog.data.gov/harvest_record/810a0979-e220-48c4-abbe-07784d10ae90/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/ASDCDAAC/NARSTO/0013","keyword":["earth-science-aerosols-atmosphere-aerosol-particle-properties","earth-science-aerosols-atmosphere-carbonaceous-aerosols","earth-science-aerosols-atmosphere-nitrate-particles","earth-science-air-quality-atmosphere-nitrogen-oxides","earth-science-air-quality-atmosphere-volatile-organic-compounds","earth-science-atmospheric-chemistry-atmosphere-oxygen-compounds","earth-science-atmospheric-chemistry-atmosphere-sulfur-compounds","earth-science-atmospheric-pressure-atmosphere-atmospheric-pressure-measurements","earth-science-atmospheric-temperature-atmosphere-surface-temperature","earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators","earth-science-atmospheric-winds-atmosphere-surface-winds"],"last_harvested_date":"2026-09-02T00:27:57.038003","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":2,"publisher":"NASA/LARC/SD/ASDC","slug":"narsto-pacific-2001-air-quality-study-pac2001-golden-ears-gaseous-and-particulate-matter-p","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"NARSTO Pacific 2001 Air Quality Study (PAC2001) Golden Ears Gaseous and Particulate Matter (PM) Data","type":"dataset"},{"_score":12.99925,"_sort":[1788308852079,12.99925,0,"0fe27f02-0a43-4a0e-932d-06afb66d100e"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The UARS Particle Environment Monitor (PEM) level 2 Atmosphere X-Ray Imaging Spectrometer (AXIS) unit 2 daily product contains the X-ray high-resolution spectral data converted to number intensity units from the AXIS2 pixels mounted on the UARS body. PEM was flown on the UARS spacecraft to measure the type, amount, energy, and distribution of charged particles injected into the Earth's thermosphere, mesosphere, and stratosphere.\n\nThe PEM AXIS2 X-ray data cover roughly the energy range from 2 keV to 300 keV. There are eight AXIS2 pixels mounted in the AXIS2 housing, each viewing different directions. The AXIS2 pixels are aligned on the spacecraft to project about 45 degrees toward the +x axis direction from the Earthward pointing direction (+z axis). Each pixel of AXIS2 is staggered about the 45 degree direction in an every-other fashion. Pixel 1 is closest to the center line of the spacecraft and Pixel 8 is furtherest away; however, their ground projection is dependent on the spacecraft orientation.\n\nThere is one data file per day for the PEM AXIS2 product, and the temporal coverage is from Oct. 1, 1991 to Aug. 23, 2005. Spatial coverage for the AXIS2 product ranges between -80 and +80 degrees latitude. The AXIS2 data files are written in network binary format. For more information please review the PEM AXIS2 data format guide.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C1273348499-GES_DISC.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://acdisc.gesdisc.eosdis.nasa.gov/data/UARS_PEM_Level2/UARPE2AXIS2/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://disc.gsfc.nasa.gov/datacollection/UARPE2AXIS2_001.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://docserver.gesdisc.eosdis.nasa.gov/public/project/Images/UARPE2AXIS2_001.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C1273348499-GES_DISC","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://uars.gsfc.nasa.gov/","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/8PZKATTD794N","keyword":["earth-science-solar-energetic-particle-flux-sun-earth-interactions-x-ray-flux"],"license":"https://www.usa.gov/government-works","modified":"2026-09-01","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/GSFC/SED/ESD/TISL/GESDISC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -180, \"NorthBoundingCoordinate\": 80, \"EastBoundingCoordinate\": 180, \"SouthBoundingCoordinate\": -80}]]","temporal":"1991-09-30/2005-03-08","theme":["Earth Science"],"title":"UARS PEM Level 2 AXIS 2 V001 (UARPE2AXIS2) at GES DISC"},"description":"The UARS Particle Environment Monitor (PEM) level 2 Atmosphere X-Ray Imaging Spectrometer (AXIS) unit 2 daily product contains the X-ray high-resolution spectral data converted to number intensity units from the AXIS2 pixels mounted on the UARS body. PEM was flown on the UARS spacecraft to measure the type, amount, energy, and distribution of charged particles injected into the Earth's thermosphere, mesosphere, and stratosphere.\n\nThe PEM AXIS2 X-ray data cover roughly the energy range from 2 keV to 300 keV. There are eight AXIS2 pixels mounted in the AXIS2 housing, each viewing different directions. The AXIS2 pixels are aligned on the spacecraft to project about 45 degrees toward the +x axis direction from the Earthward pointing direction (+z axis). Each pixel of AXIS2 is staggered about the 45 degree direction in an every-other fashion. Pixel 1 is closest to the center line of the spacecraft and Pixel 8 is furtherest away; however, their ground projection is dependent on the spacecraft orientation.\n\nThere is one data file per day for the PEM AXIS2 product, and the temporal coverage is from Oct. 1, 1991 to Aug. 23, 2005. Spatial coverage for the AXIS2 product ranges between -80 and +80 degrees latitude. The AXIS2 data files are written in network binary format. For more information please review the PEM AXIS2 data format guide.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/266b9808-b207-4a7d-b5bd-d1d07bd785ce","harvest_record_raw":"https://catalog.data.gov/harvest_record/266b9808-b207-4a7d-b5bd-d1d07bd785ce/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/8PZKATTD794N","keyword":["earth-science-solar-energetic-particle-flux-sun-earth-interactions-x-ray-flux"],"last_harvested_date":"2026-09-02T00:27:32.079777","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":0,"publisher":"NASA/GSFC/SED/ESD/TISL/GESDISC","slug":"uars-pem-level-2-axis-2-v001-uarpe2axis2-at-ges-disc-b0752","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"UARS PEM Level 2 AXIS 2 V001 (UARPE2AXIS2) at GES DISC","type":"dataset"},{"_score":53.609463,"_sort":[1788308851752,53.609463,2,"5b4fd4f7-07ca-4545-a0c9-5f357ea35214"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The Particle Environment Monitor (PEM) Level 3AT data product consists of daily, 65.536 second interval time-ordered, vertical profiles of electron, proton and x-ray energy deposition rates. PEM was made up of four instruments: the Atmospheric X-Ray Imaging Spectrometer (AXIS), the High Energy Particle Spectrometer (HEPS), the Medium Energy Spectrometer (MEPS), and the Vector Magnetometer (VMAG). PEM was flown on NASA's Upper Atmosphere Research Satellite (UARS) to measure the type, amount, energy, and distribution of charged particles injected into the Earth's thermosphere, mesosphere, and stratosphere. The PEM electron and proton data are processed with the version 4 algorithm, while the x-ray data remained version 3.\n\nThe PEM level 3AT data consist of 18 granules per day. A data granule is defined as one PEM subtype per day. The x-ray pixel subtypes are grouped together in a single tar file for each day, the electron and proton are available as individual files per day.\n\nData are on the UARS standard altitude levels (in km) given by:\n\nz(i) = 5 * i, i <= 12\nz(i) = 60 + (i - 12) * 3, 13 <= i <= 32\nz(i) = 120 + (i - 32) * 10, 33 <= i <= 50\n\nThe data files are available in a binary record oriented format.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C1273348591-GES_DISC.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://acdisc.gesdisc.eosdis.nasa.gov/data/UARS_PEM_Level3/UARPE3AT/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://acdisc.gesdisc.eosdis.nasa.gov/data/UARS_PEM_Level3/UARPE3AT/doc/README.UARPE3.doc","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://disc.gsfc.nasa.gov/datacollection/UARPE3AT_004.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://docserver.gesdisc.eosdis.nasa.gov/public/project/Images/UARPE3AT_004.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C1273348591-GES_DISC","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://uars.gsfc.nasa.gov/","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/ZCVFRUHDI888","keyword":["earth-science-solar-energetic-particle-properties-sun-earth-interactions-energy-deposition"],"license":"https://www.usa.gov/government-works","modified":"2026-09-01","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/GSFC/SED/ESD/TISL/GESDISC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -180, \"NorthBoundingCoordinate\": 80, \"EastBoundingCoordinate\": 180, \"SouthBoundingCoordinate\": -80}]]","temporal":"1991-10-01/1999-12-31","theme":["Earth Science"],"title":"UARS Particle Environment Monitor (PEM) Level 3AT V004 (UARPE3AT) at GES DISC"},"description":"The Particle Environment Monitor (PEM) Level 3AT data product consists of daily, 65.536 second interval time-ordered, vertical profiles of electron, proton and x-ray energy deposition rates. PEM was made up of four instruments: the Atmospheric X-Ray Imaging Spectrometer (AXIS), the High Energy Particle Spectrometer (HEPS), the Medium Energy Spectrometer (MEPS), and the Vector Magnetometer (VMAG). PEM was flown on NASA's Upper Atmosphere Research Satellite (UARS) to measure the type, amount, energy, and distribution of charged particles injected into the Earth's thermosphere, mesosphere, and stratosphere. The PEM electron and proton data are processed with the version 4 algorithm, while the x-ray data remained version 3.\n\nThe PEM level 3AT data consist of 18 granules per day. A data granule is defined as one PEM subtype per day. The x-ray pixel subtypes are grouped together in a single tar file for each day, the electron and proton are available as individual files per day.\n\nData are on the UARS standard altitude levels (in km) given by:\n\nz(i) = 5 * i, i <= 12\nz(i) = 60 + (i - 12) * 3, 13 <= i <= 32\nz(i) = 120 + (i - 32) * 10, 33 <= i <= 50\n\nThe data files are available in a binary record oriented format.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/a418c29f-e80f-44f6-8cfd-cd00c932e656","harvest_record_raw":"https://catalog.data.gov/harvest_record/a418c29f-e80f-44f6-8cfd-cd00c932e656/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/ZCVFRUHDI888","keyword":["earth-science-solar-energetic-particle-properties-sun-earth-interactions-energy-deposition"],"last_harvested_date":"2026-09-02T00:27:31.752601","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":2,"publisher":"NASA/GSFC/SED/ESD/TISL/GESDISC","slug":"uars-particle-environment-monitor-pem-level-3at-v004-uarpe3at-at-ges-disc-f3d76","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"UARS Particle Environment Monitor (PEM) Level 3AT V004 (UARPE3AT) at GES DISC","type":"dataset"},{"_score":11.812054,"_sort":[1788308851426,11.812054,0,"993e27de-e180-4773-a62c-dbc7ca87dacf"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The Particle Environment Monitor (PEM) level 2 High-Energy Particle Spectrometer (HEPS) A daily product contains electron high-resolution spectral data converted to number intensity units from the HEPS telescopes mounted on the zenith UARS boom. PEM was flown on the UARS spacecraft to measure the type, amount, energy, and distribution of charged particles injected into the Earth's thermosphere, mesosphere, and stratosphere.\n\nThe PEM HEPS electron data covers roughly the energy range from 35 keV to 5 MeV. There are four telescopes mounted in different directions. These measure -15 deg, +15 deg, +45 deg, and +90 degrees with respect to the spacecraft -z-axis and along the spacecraft +x-axis. The HEPS electron units accumulate a spectrum in 4.086 seconds. There are two HEPS units in these data product files (labeled HEPS1 and HEPS2), each containing two telescopes (labeled telescope 1 and telescope 2). Each telescope contains a stack of solid state crystals. The signals from each of the crystals are combined by energy processing electronics of the instrument to yield two logical crystals or detectors, called the DE and EE detectors. The DE detector has the rough energy range from 35 keV to 300 keV and the EE detector rough energy range is from 300 keV to 5 MeV.\n\nThere is one data file per day for the PEM HEPSA product, and the temporal coverage is from Oct. 1, 1991 to Aug. 23, 2005. Spatial coverage for the HEPSA product ranges between -57 and +57 degrees latitude. The HEPSA data files are written in network binary format. For more information please review the PEM HEPSA data format guide.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C1273348593-GES_DISC.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://acdisc.gesdisc.eosdis.nasa.gov/data/UARS_PEM_Level_2/UARPE2HEPSA/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://disc.gsfc.nasa.gov/datacollection/UARPE2HEPSA_002.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://docserver.gesdisc.eosdis.nasa.gov/public/project/Images/UARPE2HEPSA_002.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C1273348593-GES_DISC","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://uars.gsfc.nasa.gov/","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/MYWCKTPDLUJZ","keyword":["earth-science-solar-energetic-particle-flux-sun-earth-interactions-electron-flux"],"license":"https://www.usa.gov/government-works","modified":"2026-09-01","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/GSFC/SED/ESD/TISL/GESDISC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -180, \"NorthBoundingCoordinate\": 57.15, \"EastBoundingCoordinate\": 180, \"SouthBoundingCoordinate\": -57.15}]]","temporal":"1991-10-01/2005-08-23","theme":["Earth Science"],"title":"UARS PEM Level 2 HEPS A V002 (UARPE2HEPSA) at GES DISC"},"description":"The Particle Environment Monitor (PEM) level 2 High-Energy Particle Spectrometer (HEPS) A daily product contains electron high-resolution spectral data converted to number intensity units from the HEPS telescopes mounted on the zenith UARS boom. PEM was flown on the UARS spacecraft to measure the type, amount, energy, and distribution of charged particles injected into the Earth's thermosphere, mesosphere, and stratosphere.\n\nThe PEM HEPS electron data covers roughly the energy range from 35 keV to 5 MeV. There are four telescopes mounted in different directions. These measure -15 deg, +15 deg, +45 deg, and +90 degrees with respect to the spacecraft -z-axis and along the spacecraft +x-axis. The HEPS electron units accumulate a spectrum in 4.086 seconds. There are two HEPS units in these data product files (labeled HEPS1 and HEPS2), each containing two telescopes (labeled telescope 1 and telescope 2). Each telescope contains a stack of solid state crystals. The signals from each of the crystals are combined by energy processing electronics of the instrument to yield two logical crystals or detectors, called the DE and EE detectors. The DE detector has the rough energy range from 35 keV to 300 keV and the EE detector rough energy range is from 300 keV to 5 MeV.\n\nThere is one data file per day for the PEM HEPSA product, and the temporal coverage is from Oct. 1, 1991 to Aug. 23, 2005. Spatial coverage for the HEPSA product ranges between -57 and +57 degrees latitude. The HEPSA data files are written in network binary format. For more information please review the PEM HEPSA data format guide.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/6c18a8a8-f358-4b9f-b2a7-97267d9b3d02","harvest_record_raw":"https://catalog.data.gov/harvest_record/6c18a8a8-f358-4b9f-b2a7-97267d9b3d02/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/MYWCKTPDLUJZ","keyword":["earth-science-solar-energetic-particle-flux-sun-earth-interactions-electron-flux"],"last_harvested_date":"2026-09-02T00:27:31.426862","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":0,"publisher":"NASA/GSFC/SED/ESD/TISL/GESDISC","slug":"uars-pem-level-2-heps-a-v002-uarpe2hepsa-at-ges-disc-23b40","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"UARS PEM Level 2 HEPS A V002 (UARPE2HEPSA) at GES DISC","type":"dataset"},{"_score":11.77371,"_sort":[1788308851099,11.77371,0,"870f35ff-70c5-445a-8331-de7b002d255f"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The Particle Environment Monitor (PEM) level 2 Medium-Energy Particle Spectrometer (MEPS) daily product contains the electron and proton high-resolution spectral data converted to number intensity units from the MEPS sensors mounted on both the zenith and nadir UARS booms. PEM was flown on the UARS spacecraft to measure the type, amount, energy, and distribution of charged particles injected into the Earth's thermosphere, mesosphere, and stratosphere.\n\nThe PEM MEPS data covers roughly the energy range from 1 eV - 5 eV to 32 keV, where the lower energy cutoff is determined by internal instrument protection potentials. There are five analyzers mounted in different directions on the zenith boom, each of which contains an electron and ion sensor. These analyzers are mounted at -23.7 deg, +6.3 deg, +21.3 deg, +36.3 deg, and +66.3 degrees with respect to the spacecraft -z axis and along the spacecraft +y axis. There are three analyzers mounted in different directions on the nadir boom, each of which contain only an electron sensor. These analyzers are mounted at -158.7 deg, +156.3 deg, and +126.3 deg, with respect to the spacecraft -z axis and along the spacecraft +y axis. All MEPS analyzers accumulate a spectrum in 2.046 sec.\n\nThere is one data file per day for the PEM MEPS product, and the temporal coverage is from Oct. 1, 1991 to Aug. 23, 2005. Spatial coverage for the MEPS product ranges between -57 and +57 degrees latitude. The MEPS data files are written in network binary format. For more information please review the PEM MEPS data format guide.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C1273348596-GES_DISC.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://acdisc.gesdisc.eosdis.nasa.gov/data/UARS_PEM_Level_2/UARPE2MEPS/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://disc.gsfc.nasa.gov/datacollection/UARPE2MEPS_001.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://docserver.gesdisc.eosdis.nasa.gov/public/project/Images/UARPE2MEPS_001.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C1273348596-GES_DISC","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://uars.gsfc.nasa.gov/","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/6QHH6ZIAV91K","keyword":["earth-science-solar-energetic-particle-flux-sun-earth-interactions-electron-flux","earth-science-solar-energetic-particle-flux-sun-earth-interactions-proton-flux"],"license":"https://www.usa.gov/government-works","modified":"2026-09-01","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/GSFC/SED/ESD/TISL/GESDISC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -180, \"NorthBoundingCoordinate\": 57.15, \"EastBoundingCoordinate\": 180, \"SouthBoundingCoordinate\": -57.15}]]","temporal":"1991-10-01/2005-08-23","theme":["Earth Science"],"title":"UARS PEM Level 2 MEPS V001 (UARPE2MEPS) at GES DISC"},"description":"The Particle Environment Monitor (PEM) level 2 Medium-Energy Particle Spectrometer (MEPS) daily product contains the electron and proton high-resolution spectral data converted to number intensity units from the MEPS sensors mounted on both the zenith and nadir UARS booms. PEM was flown on the UARS spacecraft to measure the type, amount, energy, and distribution of charged particles injected into the Earth's thermosphere, mesosphere, and stratosphere.\n\nThe PEM MEPS data covers roughly the energy range from 1 eV - 5 eV to 32 keV, where the lower energy cutoff is determined by internal instrument protection potentials. There are five analyzers mounted in different directions on the zenith boom, each of which contains an electron and ion sensor. These analyzers are mounted at -23.7 deg, +6.3 deg, +21.3 deg, +36.3 deg, and +66.3 degrees with respect to the spacecraft -z axis and along the spacecraft +y axis. There are three analyzers mounted in different directions on the nadir boom, each of which contain only an electron sensor. These analyzers are mounted at -158.7 deg, +156.3 deg, and +126.3 deg, with respect to the spacecraft -z axis and along the spacecraft +y axis. All MEPS analyzers accumulate a spectrum in 2.046 sec.\n\nThere is one data file per day for the PEM MEPS product, and the temporal coverage is from Oct. 1, 1991 to Aug. 23, 2005. Spatial coverage for the MEPS product ranges between -57 and +57 degrees latitude. The MEPS data files are written in network binary format. For more information please review the PEM MEPS data format guide.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/96feed22-39cd-4423-9444-b9f2c9df5951","harvest_record_raw":"https://catalog.data.gov/harvest_record/96feed22-39cd-4423-9444-b9f2c9df5951/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/6QHH6ZIAV91K","keyword":["earth-science-solar-energetic-particle-flux-sun-earth-interactions-electron-flux","earth-science-solar-energetic-particle-flux-sun-earth-interactions-proton-flux"],"last_harvested_date":"2026-09-02T00:27:31.099873","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":0,"publisher":"NASA/GSFC/SED/ESD/TISL/GESDISC","slug":"uars-pem-level-2-meps-v001-uarpe2meps-at-ges-disc-40478","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"UARS PEM Level 2 MEPS V001 (UARPE2MEPS) at GES DISC","type":"dataset"},{"_score":10.429533,"_sort":[1788308850767,10.429533,0,"a41017a9-279e-4d7a-8cf3-4af58e4ce64d"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The Particle Environment Monitor (PEM) level 2 Vector Magnetometer (VMAG) AC daily product contains the Vector Magnetic Field AC component. PEM was flown on the UARS spacecraft to measure the type, amount, energy, and distribution of charged particles injected into the Earth's thermosphere, mesosphere, and stratosphere.\n\nThe VMAG DC magnetic field measurements are limited to frequencies less than 2.5 Hz by an 18 db/octave antialiasing filter. Higher frequencies are measured with a peak detector and are the Vector Magnetic Field AC component. The AC value is derived from each vector field component where the sensor output is pass band filtered from 2.5 to 50 Hz. The resultant signal is then half wave rectified and passed to an RC circuit with a time constant of 4.7 s. The voltage across the RC circuit is the peak detector output which therefore represents the peak positive amplitude of the 2.5-50 Hz filtered sensor output occurring during the previous 5 seconds; however, the peak detector is determined at a rate of about every second (the VMAG AC data has been adjusted for this time offset). The X and Z peak detectors have full scale of 1oo nT peak to peak (= 5 Volts) and the Y peak detector has a full scale of 10 nT peak to peak (= 5 Volts). The analog 0 to 5 Volts peak detector outputs are sent directly to the PEM central electronics package where they are digitized into a 265 binary word. This is the raw value in the data. No in-flight calibration of the AC peak detection electronics is provided. The VMAG unit is located on the zenith boom of UARS.\n\nThere is one data file per day for the PEM VMAG AC product, and the temporal coverage is from Oct. 1, 1991 to Aug. 23, 2005. Spatial coverage for the VMAG AC product ranges between -57 and +57 degrees latitude. The VMAG AC data files are written in network binary format. For more information please review the PEM VMAG AC data format guide.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C1273348620-GES_DISC.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://acdisc.gesdisc.eosdis.nasa.gov/data/UARS_PEM_Level_2/UARPE2VMAGAC/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://disc.gsfc.nasa.gov/datacollection/UARPE2VMAGAC_001.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://docserver.gesdisc.eosdis.nasa.gov/public/project/Images/UARPE2VMAGAC_001.gif","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C1273348620-GES_DISC","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://uars.gsfc.nasa.gov/","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/OLLAQ4F4X3ED","keyword":["earth-science-ionosphere-magnetosphere-dynamics-sun-earth-interactions-magnetic-fields-magnetic"],"license":"https://www.usa.gov/government-works","modified":"2026-09-01","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/GSFC/SED/ESD/TISL/GESDISC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -180, \"NorthBoundingCoordinate\": 57.15, \"EastBoundingCoordinate\": 180, \"SouthBoundingCoordinate\": -57.15}]]","temporal":"1991-09-26/2005-08-23","theme":["Earth Science"],"title":"UARS PEM Level 2 VMAG AC V001 (UARPE2VMAGAC) at GES DISC"},"description":"The Particle Environment Monitor (PEM) level 2 Vector Magnetometer (VMAG) AC daily product contains the Vector Magnetic Field AC component. PEM was flown on the UARS spacecraft to measure the type, amount, energy, and distribution of charged particles injected into the Earth's thermosphere, mesosphere, and stratosphere.\n\nThe VMAG DC magnetic field measurements are limited to frequencies less than 2.5 Hz by an 18 db/octave antialiasing filter. Higher frequencies are measured with a peak detector and are the Vector Magnetic Field AC component. The AC value is derived from each vector field component where the sensor output is pass band filtered from 2.5 to 50 Hz. The resultant signal is then half wave rectified and passed to an RC circuit with a time constant of 4.7 s. The voltage across the RC circuit is the peak detector output which therefore represents the peak positive amplitude of the 2.5-50 Hz filtered sensor output occurring during the previous 5 seconds; however, the peak detector is determined at a rate of about every second (the VMAG AC data has been adjusted for this time offset). The X and Z peak detectors have full scale of 1oo nT peak to peak (= 5 Volts) and the Y peak detector has a full scale of 10 nT peak to peak (= 5 Volts). The analog 0 to 5 Volts peak detector outputs are sent directly to the PEM central electronics package where they are digitized into a 265 binary word. This is the raw value in the data. No in-flight calibration of the AC peak detection electronics is provided. The VMAG unit is located on the zenith boom of UARS.\n\nThere is one data file per day for the PEM VMAG AC product, and the temporal coverage is from Oct. 1, 1991 to Aug. 23, 2005. Spatial coverage for the VMAG AC product ranges between -57 and +57 degrees latitude. The VMAG AC data files are written in network binary format. For more information please review the PEM VMAG AC data format guide.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/033e2913-c1d3-45cb-852e-65e7fad2fbfc","harvest_record_raw":"https://catalog.data.gov/harvest_record/033e2913-c1d3-45cb-852e-65e7fad2fbfc/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/OLLAQ4F4X3ED","keyword":["earth-science-ionosphere-magnetosphere-dynamics-sun-earth-interactions-magnetic-fields-magnetic"],"last_harvested_date":"2026-09-02T00:27:30.767103","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":0,"publisher":"NASA/GSFC/SED/ESD/TISL/GESDISC","slug":"uars-pem-level-2-vmag-ac-v001-uarpe2vmagac-at-ges-disc-1b5a1","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"UARS PEM Level 2 VMAG AC V001 (UARPE2VMAGAC) at GES DISC","type":"dataset"},{"_score":54.982044,"_sort":[1788308849375,54.982044,1,"c9c4698f-5310-490d-8584-13a63fdf5223"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"Validation campaign in support of the United Nations Environment - Sustainable Development Goal 14.1.1a of 2022: Index of coastal eutrophication in Latin America. This dataset contains validation data for ocean color satellite data products and collects nutrient data on eutrophication. The data will be used to evaluate the effectiveness of the satellite-derived indicators and to develop more specific, level 2 satellite data indicators for the member countries in the future.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C2776559368-OB_DAAC.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://seabass.gsfc.nasa.gov/experiment/UNEP_SDG14_2022/","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/SeaBASS/UNEP_SDG14_2022/DATA001","keyword":["earth-science-ocean-chemistry-oceans","earth-science-ocean-optics-oceans","earth-science-ocean-temperature-oceans","earth-science-salinity-density-oceans"],"license":"https://www.usa.gov/government-works","modified":"2026-09-01","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/GSFC/SED/ESD/GCDC/OB.DAAC;NASA/GSFC/SED/ESD/GCDC/SeaBASS"},"spatial":"[\"CARTESIAN\", [{\"EastBoundingCoordinate\": 180.0, \"NorthBoundingCoordinate\": 90.0, \"SouthBoundingCoordinate\": -90.0, \"WestBoundingCoordinate\": -180.0}]]","temporal":"2022-11-01/2026-08-24","theme":["Earth Science"],"title":"United Nations Environment Programme - Sustainable Development Goal 14(2022): Index of coastal eutrophication in Latin America"},"description":"Validation campaign in support of the United Nations Environment - Sustainable Development Goal 14.1.1a of 2022: Index of coastal eutrophication in Latin America. This dataset contains validation data for ocean color satellite data products and collects nutrient data on eutrophication. The data will be used to evaluate the effectiveness of the satellite-derived indicators and to develop more specific, level 2 satellite data indicators for the member countries in the future.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/9a3f9c64-fcde-4ff9-8da3-db04cdc3c1c6","harvest_record_raw":"https://catalog.data.gov/harvest_record/9a3f9c64-fcde-4ff9-8da3-db04cdc3c1c6/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/SeaBASS/UNEP_SDG14_2022/DATA001","keyword":["earth-science-ocean-chemistry-oceans","earth-science-ocean-optics-oceans","earth-science-ocean-temperature-oceans","earth-science-salinity-density-oceans"],"last_harvested_date":"2026-09-02T00:27:29.375983","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"NASA/GSFC/SED/ESD/GCDC/OB.DAAC;NASA/GSFC/SED/ESD/GCDC/SeaBASS","slug":"united-nations-environment-programme-sustainable-development-goal-142022-index-of-coastal-","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"United Nations Environment Programme - Sustainable Development Goal 14(2022): Index of coastal eutrophication in Latin America","type":"dataset"},{"_score":18.588066,"_sort":[1788308847021,18.588066,1,"dfc5060e-ff35-4a10-8f6f-4c3474db26fc"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The Konza Natural Research Area is a tallgrass prairie in a biologically heterogeneous environment that is rich in native plant species. Species composition is extremely variable over sites because of the effects of both natural and anthropological factors. The FIFE Vegetation Species Reference Data Set is used to associate the plant species found on the Konza Prairie with both their common and Latin names, and to translate the species codes found in the FIFE vegetation data sets to their Latin and common names.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C2980719966-ORNL_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://daac.ornl.gov/graphics/browse/project/square/fife_logo_square.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/protected/bundle/fife_biology_veg_ref_137.zip","format":"ZIP","mediaType":"application/zip"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/fife/fife_biology_veg_ref/comp/Vegetation_Species_Reference.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/fife/fife_biology_veg_ref/comp/veg_ref.doc","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/fife/fife_biology_veg_ref/comp/veg_ref.tdf","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.3334/ORNLDAAC/137","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C2980719966-ORNL_CLOUD","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.3334/ORNLDAAC/137","keyword":["earth-science-vegetation-biosphere-vegetation-species"],"license":"https://www.usa.gov/government-works","modified":"2026-09-01","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"ORNL_DAAC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -97.0, \"NorthBoundingCoordinate\": 40.0, \"EastBoundingCoordinate\": -95.0, \"SouthBoundingCoordinate\": 39.0}]]","temporal":"1989-10-31/1989-10-31","theme":["Earth Science"],"title":"Vegetation Species Reference (FIFE)"},"description":"The Konza Natural Research Area is a tallgrass prairie in a biologically heterogeneous environment that is rich in native plant species. Species composition is extremely variable over sites because of the effects of both natural and anthropological factors. The FIFE Vegetation Species Reference Data Set is used to associate the plant species found on the Konza Prairie with both their common and Latin names, and to translate the species codes found in the FIFE vegetation data sets to their Latin and common names.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/4357f32f-cdbf-4cd5-bf3d-5b26ffae84b9","harvest_record_raw":"https://catalog.data.gov/harvest_record/4357f32f-cdbf-4cd5-bf3d-5b26ffae84b9/raw","has_download":true,"has_spatial":true,"identifier":"10.3334/ORNLDAAC/137","keyword":["earth-science-vegetation-biosphere-vegetation-species"],"last_harvested_date":"2026-09-02T00:27:27.021703","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"ORNL_DAAC","slug":"vegetation-species-reference-fife","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"Vegetation Species Reference (FIFE)","type":"dataset"},{"_score":5.989599,"_sort":[1788308789421,5.989599,0,"61d494aa-1350-48e6-a475-14b65f523f5e"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"AASE2_AircraftRemoteSensing_DC8_DIAL_Data is the remotely sensed Differential Absorption Lidar (DIAL) data collected onboard the DC-8 aircraft during the Airborne Arctic Stratospheric Expedition II (AASE II) suborbital campaign. Data collection for this product is complete.\n\nThe AASE campaign was a joint mission by NASA, NOAA, and the National Science Foundation (NSF). While this is one overarching campaign, AASE has been broken into two sub-campaigns: AASE and AASE-II namely, which each have their own mission goals. AASE\u2019s primary goal was to study the production and loss mechanism of ozone in the north polar stratospheric environment. This was after it was realized that ozone loss on either side of the 1987 Antarctic vortex during AAOE occurred under conditions found in the Arctic vortex. Along with this, AASE aimed to study the effect of ozone distribution of the Arctic polar vortex as well as the cold temperatures associated with the formation of Polar Stratospheric Clouds. AASE-II aims to answer three science questions. First, AASE-II asks: will significant erosion of stratospheric ozone occur over the Arctic as stratospheric chlorine levels increase during the next decade? Second, AASE-II sought to understand what the causes of mid-latitude stratospheric ozone decreases in late fall through early summer are. This objective comes from the observations of ground and satellite observations the decade prior to the campaign. Finally, due to the eruption of Mt. Pinatubo in June 1991, AASE-II aimed to address the effect volcanoes have on the chemical processes that govern stratospheric ozone. Specifically, this campaign questions if volcanic aerosols could modify depletion of stratospheric ozone associated with industrial halocarbons?\n\nIn order to accomplish these goals and answer these questions, AASE deployed the NASA DC-8 aircraft, NASA ER-2 aircraft, balloon sondes, and used imagery from satellites. These payloads and instruments were used for both AASE and AASE-II. Flights for AASE (including test flights) were conducted from December 1988 to February 1989, while flights for AASE-II (including test flights) were conducted from August 1991 to March 1992. The ER-2 was equipped with 13 instruments during AASE. Three instruments among those were the NOAA NO/NOy Instrument (NOAA NOy), the Multiple Axis Resonance Fluorescence Chemical Conversion Detector for ClO and BrO (ClO/BrO), and the Dual-Beam UV-Absorption Ozone Photometer (NOAA O3 Classic). The NOAA NOy was responsible for collecting data on NO volume mixing ratio in parts per billion (ppb), as well as NOy volume mixing ratio in ppb. As the name suggests, the ClO/BrO took measurements of BrO and ClO mixing ratio in ppb. The NOAA O3 Classic was enlisted on this campaign to take measurements of ozone in the atmosphere in ppb. The NASA DC-8 aircraft was equipped with 14 instruments. Three of those instruments were the Differential Absorption Lidar (DIAL), the Whole Air Sampler (WAS (NCAR)), and the NOAA Lyman-Alpha Total Water Hygrometer (NOAA TW). The DIAL recorded data on infrared (IR) aerosol depolarization percentages, IR atmospheric scattering ratio, ozone mixing ratio in ppb by volume, VIS aerosol depolarization percentages, and VIS atmospheric scattering ratio. The WAS (NCAR) collected data on mixing ratios of CO2, CH4, CO, N2O, CF2Cl2, CFCl3, C2F3Cl3, and CH3CCl3. The NOCAR (NCAR/NOAA) NO/NOy instrument made in situ observations at DC-8 flight levels which were found to record NOy falling gravitationally on particles formed at higher altitudes. Finally, the NOAA TW collected information about the H2O volume mixing ratio in parts per million (ppm). For AASE, the balloon sondes were used to collect data on air temperature, dew point depression, and wind speed.\n\nThe ER-2 aircraft was equipped with 18 instruments for AASE-II. Three of those instruments include the Microwave Temperature Profiler (MTP), the Argus Tunable Diode Laser Instrument (ARGUS), and the Aircraft Laser Infrared Absorption Spectrometer (ALIAS). The MTP collected data on atmospheric temperature and potential air temperature. The ARGUS measured N2O mixing ratio in ppb. Finally, the ALIAS collected data on N2O, CH4, HNO3, HCL, and H2O. The DC-8 aircraft was equipped with 16 instruments. Three of the instruments among the 16 include the Differential Absorption Carbon Monoxide Measurement (DACOM), the Whole Air Sampler (WAS (UCI)), and the Forward Scattering Spectrometer Probe (FSSP). The DACOM recorded measurements on the carbon monoxide mixing ratio (ppb), methane mixing ratio (ppb), nitrous oxide mixing ratio (ppb), and the carbon dioxide mixing ratio (ppm). The WAS (UCI) collected data on hydrocarbons/halocarbons in the atmosphere. While the FSSP collected concentrations and distribution of aerosol size. The balloon sondes for AASE-II collected temperature, ozone partial pressure, wind speed, and wind direction.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C3880596189-LARC_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/citing-data","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://cmr.earthdata.nasa.gov/virtual-directory/collections/C3880596189-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/ASDC/SUBORBITAL/AASE2_AircraftRemoteSensing_DC8_DIAL_Data_1","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://espo.nasa.gov/aase2/content/AASE2_Mission_Statement","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://espo.nasa.gov/aase2/content/AASE2_Science_Overview","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://espoarchive.nasa.gov/archive/browse/aase2","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://pubmed.ncbi.nlm.nih.gov/17790351/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C3880596189-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.earthdata.nasa.gov/data/projects/aase","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/ASDC/SUBORBITAL/AASE2_AircraftRemoteSensing_DC8_DIAL_Data_1","keyword":["earth-science-atmospheric-chemistry-atmosphere-oxygen-compounds","earth-science-lidar-spectral-engineering-lidar-depolarization-ratio"],"license":"https://www.usa.gov/government-works","modified":"2026-09-01","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/LARC/SD/ASDC"},"spatial":"[\"CARTESIAN\", [{\"NorthBoundingCoordinate\": 90, \"WestBoundingCoordinate\": -152.64, \"EastBoundingCoordinate\": 151.72, \"SouthBoundingCoordinate\": -18.19}]]","temporal":"1992-01-14/1992-03-21","theme":["Earth Science"],"title":"AASE II DC-8 Remotely Sensed Differential Absorption Lidar (DIAL) Data"},"description":"AASE2_AircraftRemoteSensing_DC8_DIAL_Data is the remotely sensed Differential Absorption Lidar (DIAL) data collected onboard the DC-8 aircraft during the Airborne Arctic Stratospheric Expedition II (AASE II) suborbital campaign. Data collection for this product is complete.\n\nThe AASE campaign was a joint mission by NASA, NOAA, and the National Science Foundation (NSF). While this is one overarching campaign, AASE has been broken into two sub-campaigns: AASE and AASE-II namely, which each have their own mission goals. AASE\u2019s primary goal was to study the production and loss mechanism of ozone in the north polar stratospheric environment. This was after it was realized that ozone loss on either side of the 1987 Antarctic vortex during AAOE occurred under conditions found in the Arctic vortex. Along with this, AASE aimed to study the effect of ozone distribution of the Arctic polar vortex as well as the cold temperatures associated with the formation of Polar Stratospheric Clouds. AASE-II aims to answer three science questions. First, AASE-II asks: will significant erosion of stratospheric ozone occur over the Arctic as stratospheric chlorine levels increase during the next decade? Second, AASE-II sought to understand what the causes of mid-latitude stratospheric ozone decreases in late fall through early summer are. This objective comes from the observations of ground and satellite observations the decade prior to the campaign. Finally, due to the eruption of Mt. Pinatubo in June 1991, AASE-II aimed to address the effect volcanoes have on the chemical processes that govern stratospheric ozone. Specifically, this campaign questions if volcanic aerosols could modify depletion of stratospheric ozone associated with industrial halocarbons?\n\nIn order to accomplish these goals and answer these questions, AASE deployed the NASA DC-8 aircraft, NASA ER-2 aircraft, balloon sondes, and used imagery from satellites. These payloads and instruments were used for both AASE and AASE-II. Flights for AASE (including test flights) were conducted from December 1988 to February 1989, while flights for AASE-II (including test flights) were conducted from August 1991 to March 1992. The ER-2 was equipped with 13 instruments during AASE. Three instruments among those were the NOAA NO/NOy Instrument (NOAA NOy), the Multiple Axis Resonance Fluorescence Chemical Conversion Detector for ClO and BrO (ClO/BrO), and the Dual-Beam UV-Absorption Ozone Photometer (NOAA O3 Classic). The NOAA NOy was responsible for collecting data on NO volume mixing ratio in parts per billion (ppb), as well as NOy volume mixing ratio in ppb. As the name suggests, the ClO/BrO took measurements of BrO and ClO mixing ratio in ppb. The NOAA O3 Classic was enlisted on this campaign to take measurements of ozone in the atmosphere in ppb. The NASA DC-8 aircraft was equipped with 14 instruments. Three of those instruments were the Differential Absorption Lidar (DIAL), the Whole Air Sampler (WAS (NCAR)), and the NOAA Lyman-Alpha Total Water Hygrometer (NOAA TW). The DIAL recorded data on infrared (IR) aerosol depolarization percentages, IR atmospheric scattering ratio, ozone mixing ratio in ppb by volume, VIS aerosol depolarization percentages, and VIS atmospheric scattering ratio. The WAS (NCAR) collected data on mixing ratios of CO2, CH4, CO, N2O, CF2Cl2, CFCl3, C2F3Cl3, and CH3CCl3. The NOCAR (NCAR/NOAA) NO/NOy instrument made in situ observations at DC-8 flight levels which were found to record NOy falling gravitationally on particles formed at higher altitudes. Finally, the NOAA TW collected information about the H2O volume mixing ratio in parts per million (ppm). For AASE, the balloon sondes were used to collect data on air temperature, dew point depression, and wind speed.\n\nThe ER-2 aircraft was equipped with 18 instruments for AASE-II. Three of those instruments include the Microwave Temperature Profiler (MTP), the Argus Tunable Diode Laser Instrument (ARGUS), and the Aircraft Laser Infrared Absorption Spectrometer (ALIAS). The MTP collected data on atmospheric temperature and potential air temperature. The ARGUS measured N2O mixing ratio in ppb. Finally, the ALIAS collected data on N2O, CH4, HNO3, HCL, and H2O. The DC-8 aircraft was equipped with 16 instruments. Three of the instruments among the 16 include the Differential Absorption Carbon Monoxide Measurement (DACOM), the Whole Air Sampler (WAS (UCI)), and the Forward Scattering Spectrometer Probe (FSSP). The DACOM recorded measurements on the carbon monoxide mixing ratio (ppb), methane mixing ratio (ppb), nitrous oxide mixing ratio (ppb), and the carbon dioxide mixing ratio (ppm). The WAS (UCI) collected data on hydrocarbons/halocarbons in the atmosphere. While the FSSP collected concentrations and distribution of aerosol size. The balloon sondes for AASE-II collected temperature, ozone partial pressure, wind speed, and wind direction.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/e4e27dec-71f1-4b75-b114-b757edbdcc1f","harvest_record_raw":"https://catalog.data.gov/harvest_record/e4e27dec-71f1-4b75-b114-b757edbdcc1f/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/ASDC/SUBORBITAL/AASE2_AircraftRemoteSensing_DC8_DIAL_Data_1","keyword":["earth-science-atmospheric-chemistry-atmosphere-oxygen-compounds","earth-science-lidar-spectral-engineering-lidar-depolarization-ratio"],"last_harvested_date":"2026-09-02T00:26:29.421079","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":0,"publisher":"NASA/LARC/SD/ASDC","slug":"aase-ii-dc-8-remotely-sensed-differential-absorption-lidar-dial-data","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"AASE II DC-8 Remotely Sensed Differential Absorption Lidar (DIAL) Data","type":"dataset"},{"_score":6.0115757,"_sort":[1788308789088,6.0115757,0,"e66034a4-cb3f-45ec-b118-c1e80eb66a31"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"AASE2_Aerosol_AircraftInSitu_ER2_Data is the in-situ aerosol data for the ER-2 aircraft collected during the Airborne Arctic Stratospheric Expedition II (AASE II) suborbital campaign. Data were collected by instruments such as the Ultra-High Sensitivity Aerosol Spectrometer (UHSAS), Condensation Nucleus Counters (CNC), Electrical Aerosol Sampler (EAS), and the Focused Cavity Aerosol Spectrometer (FCAS). Data collection for this product is complete.\n\nThe AASE campaign was a joint mission by NASA, NOAA, and the National Science Foundation (NSF). While this is one overarching campaign, AASE has been broken into two sub-campaigns: AASE and AASE-II namely, which each have their own mission goals. AASE\u2019s primary goal was to study the production and loss mechanism of ozone in the north polar stratospheric environment. This was after it was realized that ozone loss on either side of the 1987 Antarctic vortex during AAOE occurred under conditions found in the Arctic vortex. Along with this, AASE aimed to study the effect of ozone distribution of the Arctic polar vortex as well as the cold temperatures associated with the formation of Polar Stratospheric Clouds. AASE-II aims to answer three science questions. First, AASE-II asks: will significant erosion of stratospheric ozone occur over the Arctic as stratospheric chlorine levels increase during the next decade? Second, AASE-II sought to understand what the causes of mid-latitude stratospheric ozone decreases in late fall through early summer are. This objective comes from the observations of ground and satellite observations the decade prior to the campaign. Finally, due to the eruption of Mt. Pinatubo in June 1991, AASE-II aimed to address the effect volcanoes have on the chemical processes that govern stratospheric ozone. Specifically, this campaign questions if volcanic aerosols could modify depletion of stratospheric ozone associated with industrial halocarbons?\n\nIn order to accomplish these goals and answer these questions, AASE deployed the NASA DC-8 aircraft, NASA ER-2 aircraft, balloon sondes, and used imagery from satellites. These payloads and instruments were used for both AASE and AASE-II. Flights for AASE (including test flights) were conducted from December 1988 to February 1989, while flights for AASE-II (including test flights) were conducted from August 1991 to March 1992. The ER-2 was equipped with 13 instruments during AASE. Three instruments among those were the NOAA NO/NOy Instrument (NOAA NOy), the Multiple Axis Resonance Fluorescence Chemical Conversion Detector for ClO and BrO (ClO/BrO), and the Dual-Beam UV-Absorption Ozone Photometer (NOAA O3 Classic). The NOAA NOy was responsible for collecting data on NO volume mixing ratio in parts per billion (ppb), as well as NOy volume mixing ratio in ppb. As the name suggests, the ClO/BrO took measurements of BrO and ClO mixing ratio in ppb. The NOAA O3 Classic was enlisted on this campaign to take measurements of ozone in the atmosphere in ppb. The NASA DC-8 aircraft was equipped with 14 instruments. Three of those instruments were the Differential Absorption Lidar (DIAL), the Whole Air Sampler (WAS (NCAR)), and the NOAA Lyman-Alpha Total Water Hygrometer (NOAA TW). The DIAL recorded data on infrared (IR) aerosol depolarization percentages, IR atmospheric scattering ratio, ozone mixing ratio in ppb by volume, VIS aerosol depolarization percentages, and VIS atmospheric scattering ratio. The WAS (NCAR) collected data on mixing ratios of CO2, CH4, CO, N2O, CF2Cl2, CFCl3, C2F3Cl3, and CH3CCl3. The NOCAR (NCAR/NOAA) NO/NOy instrument made in situ observations at DC-8 flight levels which were found to record NOy falling gravitationally on particles formed at higher altitudes. Finally, the NOAA TW collected information about the H2O volume mixing ratio in parts per million (ppm). For AASE, the balloon sondes were used to collect data on air temperature, dew point depression, and wind speed.\n\nThe ER-2 aircraft was equipped with 18 instruments for AASE-II. Three of those instruments include the Microwave Temperature Profiler (MTP), the Argus Tunable Diode Laser Instrument (ARGUS), and the Aircraft Laser Infrared Absorption Spectrometer (ALIAS). The MTP collected data on atmospheric temperature and potential air temperature. The ARGUS measured N2O mixing ratio in ppb. Finally, the ALIAS collected data on N2O, CH4, HNO3, HCL, and H2O. The DC-8 aircraft was equipped with 16 instruments. Three of the instruments among the 16 include the Differential Absorption Carbon Monoxide Measurement (DACOM), the Whole Air Sampler (WAS (UCI)), and the Forward Scattering Spectrometer Probe (FSSP). The DACOM recorded measurements on the carbon monoxide mixing ratio (ppb), methane mixing ratio (ppb), nitrous oxide mixing ratio (ppb), and the carbon dioxide mixing ratio (ppm). The WAS (UCI) collected data on hydrocarbons/halocarbons in the atmosphere. While the FSSP collected concentrations and distribution of aerosol size. The balloon sondes for AASE-II collected temperature, ozone partial pressure, wind speed, and wind direction.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C3880680219-LARC_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/citing-data","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://cmr.earthdata.nasa.gov/virtual-directory/collections/C3880680219-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/ASDC/SUBORBITAL/AASE2_Aerosol_AircraftInSitu_ER2_Data_1","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://espo.nasa.gov/aase2/content/AASE2_Mission_Statement","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://espo.nasa.gov/aase2/content/AASE2_Science_Overview","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://espoarchive.nasa.gov/archive/browse/aase2","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://pubmed.ncbi.nlm.nih.gov/17790351/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C3880680219-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.earthdata.nasa.gov/data/projects/aase","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/ASDC/SUBORBITAL/AASE2_Aerosol_AircraftInSitu_ER2_Data_1","keyword":["earth-science-aerosols-atmosphere-aerosol-particle-properties"],"license":"https://www.usa.gov/government-works","modified":"2026-09-01","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/LARC/SD/ASDC"},"spatial":"[\"CARTESIAN\", [{\"NorthBoundingCoordinate\": 90, \"WestBoundingCoordinate\": -180, \"EastBoundingCoordinate\": 180, \"SouthBoundingCoordinate\": -80.11}]]","temporal":"1991-08-20/1992-03-29","theme":["Earth Science"],"title":"AASE II ER-2 Aircraft In-Situ Aerosol Data"},"description":"AASE2_Aerosol_AircraftInSitu_ER2_Data is the in-situ aerosol data for the ER-2 aircraft collected during the Airborne Arctic Stratospheric Expedition II (AASE II) suborbital campaign. Data were collected by instruments such as the Ultra-High Sensitivity Aerosol Spectrometer (UHSAS), Condensation Nucleus Counters (CNC), Electrical Aerosol Sampler (EAS), and the Focused Cavity Aerosol Spectrometer (FCAS). Data collection for this product is complete.\n\nThe AASE campaign was a joint mission by NASA, NOAA, and the National Science Foundation (NSF). While this is one overarching campaign, AASE has been broken into two sub-campaigns: AASE and AASE-II namely, which each have their own mission goals. AASE\u2019s primary goal was to study the production and loss mechanism of ozone in the north polar stratospheric environment. This was after it was realized that ozone loss on either side of the 1987 Antarctic vortex during AAOE occurred under conditions found in the Arctic vortex. Along with this, AASE aimed to study the effect of ozone distribution of the Arctic polar vortex as well as the cold temperatures associated with the formation of Polar Stratospheric Clouds. AASE-II aims to answer three science questions. First, AASE-II asks: will significant erosion of stratospheric ozone occur over the Arctic as stratospheric chlorine levels increase during the next decade? Second, AASE-II sought to understand what the causes of mid-latitude stratospheric ozone decreases in late fall through early summer are. This objective comes from the observations of ground and satellite observations the decade prior to the campaign. Finally, due to the eruption of Mt. Pinatubo in June 1991, AASE-II aimed to address the effect volcanoes have on the chemical processes that govern stratospheric ozone. Specifically, this campaign questions if volcanic aerosols could modify depletion of stratospheric ozone associated with industrial halocarbons?\n\nIn order to accomplish these goals and answer these questions, AASE deployed the NASA DC-8 aircraft, NASA ER-2 aircraft, balloon sondes, and used imagery from satellites. These payloads and instruments were used for both AASE and AASE-II. Flights for AASE (including test flights) were conducted from December 1988 to February 1989, while flights for AASE-II (including test flights) were conducted from August 1991 to March 1992. The ER-2 was equipped with 13 instruments during AASE. Three instruments among those were the NOAA NO/NOy Instrument (NOAA NOy), the Multiple Axis Resonance Fluorescence Chemical Conversion Detector for ClO and BrO (ClO/BrO), and the Dual-Beam UV-Absorption Ozone Photometer (NOAA O3 Classic). The NOAA NOy was responsible for collecting data on NO volume mixing ratio in parts per billion (ppb), as well as NOy volume mixing ratio in ppb. As the name suggests, the ClO/BrO took measurements of BrO and ClO mixing ratio in ppb. The NOAA O3 Classic was enlisted on this campaign to take measurements of ozone in the atmosphere in ppb. The NASA DC-8 aircraft was equipped with 14 instruments. Three of those instruments were the Differential Absorption Lidar (DIAL), the Whole Air Sampler (WAS (NCAR)), and the NOAA Lyman-Alpha Total Water Hygrometer (NOAA TW). The DIAL recorded data on infrared (IR) aerosol depolarization percentages, IR atmospheric scattering ratio, ozone mixing ratio in ppb by volume, VIS aerosol depolarization percentages, and VIS atmospheric scattering ratio. The WAS (NCAR) collected data on mixing ratios of CO2, CH4, CO, N2O, CF2Cl2, CFCl3, C2F3Cl3, and CH3CCl3. The NOCAR (NCAR/NOAA) NO/NOy instrument made in situ observations at DC-8 flight levels which were found to record NOy falling gravitationally on particles formed at higher altitudes. Finally, the NOAA TW collected information about the H2O volume mixing ratio in parts per million (ppm). For AASE, the balloon sondes were used to collect data on air temperature, dew point depression, and wind speed.\n\nThe ER-2 aircraft was equipped with 18 instruments for AASE-II. Three of those instruments include the Microwave Temperature Profiler (MTP), the Argus Tunable Diode Laser Instrument (ARGUS), and the Aircraft Laser Infrared Absorption Spectrometer (ALIAS). The MTP collected data on atmospheric temperature and potential air temperature. The ARGUS measured N2O mixing ratio in ppb. Finally, the ALIAS collected data on N2O, CH4, HNO3, HCL, and H2O. The DC-8 aircraft was equipped with 16 instruments. Three of the instruments among the 16 include the Differential Absorption Carbon Monoxide Measurement (DACOM), the Whole Air Sampler (WAS (UCI)), and the Forward Scattering Spectrometer Probe (FSSP). The DACOM recorded measurements on the carbon monoxide mixing ratio (ppb), methane mixing ratio (ppb), nitrous oxide mixing ratio (ppb), and the carbon dioxide mixing ratio (ppm). The WAS (UCI) collected data on hydrocarbons/halocarbons in the atmosphere. While the FSSP collected concentrations and distribution of aerosol size. The balloon sondes for AASE-II collected temperature, ozone partial pressure, wind speed, and wind direction.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/6e6a1935-c8dd-46a5-b88b-1f9259fe704f","harvest_record_raw":"https://catalog.data.gov/harvest_record/6e6a1935-c8dd-46a5-b88b-1f9259fe704f/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/ASDC/SUBORBITAL/AASE2_Aerosol_AircraftInSitu_ER2_Data_1","keyword":["earth-science-aerosols-atmosphere-aerosol-particle-properties"],"last_harvested_date":"2026-09-02T00:26:29.088429","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":0,"publisher":"NASA/LARC/SD/ASDC","slug":"aase-ii-er-2-aircraft-in-situ-aerosol-data","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"AASE II ER-2 Aircraft In-Situ Aerosol Data","type":"dataset"},{"_score":5.8229637,"_sort":[1788308788764,5.8229637,0,"a212b1f1-52e1-49a7-b67c-7533ae872a8d"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"AASE2_MetNav_AircraftInSitu_ER2_Data is the in-situ meteorological and navigational data for the ER-2 aircraft collected during the Airborne Arctic Stratospheric Expedition II (AASE II) suborbital campaign. Data were collected by instruments such as the Meteorological Measurement System (MMS), ER-2 Navigation Recorder (NavRec), Microwave Temperature Profiler (MTP), and the NOAA Frost Point (FP). Data collection for this product is complete.\n\nThe AASE campaign was a joint mission by NASA, NOAA, and the National Science Foundation (NSF). While this is one overarching campaign, AASE has been broken into two sub-campaigns: AASE and AASE-II namely, which each have their own mission goals. AASE\u2019s primary goal was to study the production and loss mechanism of ozone in the north polar stratospheric environment. This was after it was realized that ozone loss on either side of the 1987 Antarctic vortex during AAOE occurred under conditions found in the Arctic vortex. Along with this, AASE aimed to study the effect of ozone distribution of the Arctic polar vortex as well as the cold temperatures associated with the formation of Polar Stratospheric Clouds. AASE-II aims to answer three science questions. First, AASE-II asks: will significant erosion of stratospheric ozone occur over the Arctic as stratospheric chlorine levels increase during the next decade? Second, AASE-II sought to understand what the causes of mid-latitude stratospheric ozone decreases in late fall through early summer are. This objective comes from the observations of ground and satellite observations the decade prior to the campaign. Finally, due to the eruption of Mt. Pinatubo in June 1991, AASE-II aimed to address the effect volcanoes have on the chemical processes that govern stratospheric ozone. Specifically, this campaign questions if volcanic aerosols could modify depletion of stratospheric ozone associated with industrial halocarbons?\n\nIn order to accomplish these goals and answer these questions, AASE deployed the NASA DC-8 aircraft, NASA ER-2 aircraft, balloon sondes, and used imagery from satellites. These payloads and instruments were used for both AASE and AASE-II. Flights for AASE (including test flights) were conducted from December 1988 to February 1989, while flights for AASE-II (including test flights) were conducted from August 1991 to March 1992. The ER-2 was equipped with 13 instruments during AASE. Three instruments among those were the NOAA NO/NOy Instrument (NOAA NOy), the Multiple Axis Resonance Fluorescence Chemical Conversion Detector for ClO and BrO (ClO/BrO), and the Dual-Beam UV-Absorption Ozone Photometer (NOAA O3 Classic). The NOAA NOy was responsible for collecting data on NO volume mixing ratio in parts per billion (ppb), as well as NOy volume mixing ratio in ppb. As the name suggests, the ClO/BrO took measurements of BrO and ClO mixing ratio in ppb. The NOAA O3 Classic was enlisted on this campaign to take measurements of ozone in the atmosphere in ppb. The NASA DC-8 aircraft was equipped with 14 instruments. Three of those instruments were the Differential Absorption Lidar (DIAL), the Whole Air Sampler (WAS (NCAR)), and the NOAA Lyman-Alpha Total Water Hygrometer (NOAA TW). The DIAL recorded data on infrared (IR) aerosol depolarization percentages, IR atmospheric scattering ratio, ozone mixing ratio in ppb by volume, VIS aerosol depolarization percentages, and VIS atmospheric scattering ratio. The WAS (NCAR) collected data on mixing ratios of CO2, CH4, CO, N2O, CF2Cl2, CFCl3, C2F3Cl3, and CH3CCl3. The NOCAR (NCAR/NOAA) NO/NOy instrument made in situ observations at DC-8 flight levels which were found to record NOy falling gravitationally on particles formed at higher altitudes. Finally, the NOAA TW collected information about the H2O volume mixing ratio in parts per million (ppm). For AASE, the balloon sondes were used to collect data on air temperature, dew point depression, and wind speed.\n\nThe ER-2 aircraft was equipped with 18 instruments for AASE-II. Three of those instruments include the Microwave Temperature Profiler (MTP), the Argus Tunable Diode Laser Instrument (ARGUS), and the Aircraft Laser Infrared Absorption Spectrometer (ALIAS). The MTP collected data on atmospheric temperature and potential air temperature. The ARGUS measured N2O mixing ratio in ppb. Finally, the ALIAS collected data on N2O, CH4, HNO3, HCL, and H2O. The DC-8 aircraft was equipped with 16 instruments. Three of the instruments among the 16 include the Differential Absorption Carbon Monoxide Measurement (DACOM), the Whole Air Sampler (WAS (UCI)), and the Forward Scattering Spectrometer Probe (FSSP). The DACOM recorded measurements on the carbon monoxide mixing ratio (ppb), methane mixing ratio (ppb), nitrous oxide mixing ratio (ppb), and the carbon dioxide mixing ratio (ppm). The WAS (UCI) collected data on hydrocarbons/halocarbons in the atmosphere. While the FSSP collected concentrations and distribution of aerosol size. The balloon sondes for AASE-II collected temperature, ozone partial pressure, wind speed, and wind direction.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C3880691623-LARC_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/citing-data","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://cmr.earthdata.nasa.gov/virtual-directory/collections/C3880691623-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/ASDC/SUBORBITAL/AASE2_MetNav_AircraftInSitu_ER2_Data_1","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://espo.nasa.gov/aase2/content/AASE2_Mission_Statement","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://espo.nasa.gov/aase2/content/AASE2_Science_Overview","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://espoarchive.nasa.gov/archive/browse/aase2","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://pubmed.ncbi.nlm.nih.gov/17790351/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C3880691623-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.earthdata.nasa.gov/data/projects/aase","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/ASDC/SUBORBITAL/AASE2_MetNav_AircraftInSitu_ER2_Data_1","keyword":["earth-science-atmospheric-temperature-atmosphere-surface-temperature","earth-science-atmospheric-water-vapor-atmosphere-water-vapor-profiles","earth-science-atmospheric-winds-atmosphere-surface-winds","earth-science-infrared-wavelengths-spectral-engineering-brightness-temperature","earth-science-platform-characteristics-spectral-engineering-airspeed-ground-speed","earth-science-platform-characteristics-spectral-engineering-flight-data-logs"],"license":"https://www.usa.gov/government-works","modified":"2026-09-01","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/LARC/SD/ASDC"},"spatial":"[\"CARTESIAN\", [{\"NorthBoundingCoordinate\": 90, \"WestBoundingCoordinate\": -180, \"EastBoundingCoordinate\": 180, \"SouthBoundingCoordinate\": 21.88}]]","temporal":"1991-08-20/1992-03-29","theme":["Earth Science"],"title":"AASE II ER-2 Aircraft In-Situ Meteorology and Navigational Data"},"description":"AASE2_MetNav_AircraftInSitu_ER2_Data is the in-situ meteorological and navigational data for the ER-2 aircraft collected during the Airborne Arctic Stratospheric Expedition II (AASE II) suborbital campaign. Data were collected by instruments such as the Meteorological Measurement System (MMS), ER-2 Navigation Recorder (NavRec), Microwave Temperature Profiler (MTP), and the NOAA Frost Point (FP). Data collection for this product is complete.\n\nThe AASE campaign was a joint mission by NASA, NOAA, and the National Science Foundation (NSF). While this is one overarching campaign, AASE has been broken into two sub-campaigns: AASE and AASE-II namely, which each have their own mission goals. AASE\u2019s primary goal was to study the production and loss mechanism of ozone in the north polar stratospheric environment. This was after it was realized that ozone loss on either side of the 1987 Antarctic vortex during AAOE occurred under conditions found in the Arctic vortex. Along with this, AASE aimed to study the effect of ozone distribution of the Arctic polar vortex as well as the cold temperatures associated with the formation of Polar Stratospheric Clouds. AASE-II aims to answer three science questions. First, AASE-II asks: will significant erosion of stratospheric ozone occur over the Arctic as stratospheric chlorine levels increase during the next decade? Second, AASE-II sought to understand what the causes of mid-latitude stratospheric ozone decreases in late fall through early summer are. This objective comes from the observations of ground and satellite observations the decade prior to the campaign. Finally, due to the eruption of Mt. Pinatubo in June 1991, AASE-II aimed to address the effect volcanoes have on the chemical processes that govern stratospheric ozone. Specifically, this campaign questions if volcanic aerosols could modify depletion of stratospheric ozone associated with industrial halocarbons?\n\nIn order to accomplish these goals and answer these questions, AASE deployed the NASA DC-8 aircraft, NASA ER-2 aircraft, balloon sondes, and used imagery from satellites. These payloads and instruments were used for both AASE and AASE-II. Flights for AASE (including test flights) were conducted from December 1988 to February 1989, while flights for AASE-II (including test flights) were conducted from August 1991 to March 1992. The ER-2 was equipped with 13 instruments during AASE. Three instruments among those were the NOAA NO/NOy Instrument (NOAA NOy), the Multiple Axis Resonance Fluorescence Chemical Conversion Detector for ClO and BrO (ClO/BrO), and the Dual-Beam UV-Absorption Ozone Photometer (NOAA O3 Classic). The NOAA NOy was responsible for collecting data on NO volume mixing ratio in parts per billion (ppb), as well as NOy volume mixing ratio in ppb. As the name suggests, the ClO/BrO took measurements of BrO and ClO mixing ratio in ppb. The NOAA O3 Classic was enlisted on this campaign to take measurements of ozone in the atmosphere in ppb. The NASA DC-8 aircraft was equipped with 14 instruments. Three of those instruments were the Differential Absorption Lidar (DIAL), the Whole Air Sampler (WAS (NCAR)), and the NOAA Lyman-Alpha Total Water Hygrometer (NOAA TW). The DIAL recorded data on infrared (IR) aerosol depolarization percentages, IR atmospheric scattering ratio, ozone mixing ratio in ppb by volume, VIS aerosol depolarization percentages, and VIS atmospheric scattering ratio. The WAS (NCAR) collected data on mixing ratios of CO2, CH4, CO, N2O, CF2Cl2, CFCl3, C2F3Cl3, and CH3CCl3. The NOCAR (NCAR/NOAA) NO/NOy instrument made in situ observations at DC-8 flight levels which were found to record NOy falling gravitationally on particles formed at higher altitudes. Finally, the NOAA TW collected information about the H2O volume mixing ratio in parts per million (ppm). For AASE, the balloon sondes were used to collect data on air temperature, dew point depression, and wind speed.\n\nThe ER-2 aircraft was equipped with 18 instruments for AASE-II. Three of those instruments include the Microwave Temperature Profiler (MTP), the Argus Tunable Diode Laser Instrument (ARGUS), and the Aircraft Laser Infrared Absorption Spectrometer (ALIAS). The MTP collected data on atmospheric temperature and potential air temperature. The ARGUS measured N2O mixing ratio in ppb. Finally, the ALIAS collected data on N2O, CH4, HNO3, HCL, and H2O. The DC-8 aircraft was equipped with 16 instruments. Three of the instruments among the 16 include the Differential Absorption Carbon Monoxide Measurement (DACOM), the Whole Air Sampler (WAS (UCI)), and the Forward Scattering Spectrometer Probe (FSSP). The DACOM recorded measurements on the carbon monoxide mixing ratio (ppb), methane mixing ratio (ppb), nitrous oxide mixing ratio (ppb), and the carbon dioxide mixing ratio (ppm). The WAS (UCI) collected data on hydrocarbons/halocarbons in the atmosphere. While the FSSP collected concentrations and distribution of aerosol size. The balloon sondes for AASE-II collected temperature, ozone partial pressure, wind speed, and wind direction.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/5d9dc5b8-6fd9-406b-bd71-3e391a70e642","harvest_record_raw":"https://catalog.data.gov/harvest_record/5d9dc5b8-6fd9-406b-bd71-3e391a70e642/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/ASDC/SUBORBITAL/AASE2_MetNav_AircraftInSitu_ER2_Data_1","keyword":["earth-science-atmospheric-temperature-atmosphere-surface-temperature","earth-science-atmospheric-water-vapor-atmosphere-water-vapor-profiles","earth-science-atmospheric-winds-atmosphere-surface-winds","earth-science-infrared-wavelengths-spectral-engineering-brightness-temperature","earth-science-platform-characteristics-spectral-engineering-airspeed-ground-speed","earth-science-platform-characteristics-spectral-engineering-flight-data-logs"],"last_harvested_date":"2026-09-02T00:26:28.764877","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":0,"publisher":"NASA/LARC/SD/ASDC","slug":"aase-ii-er-2-aircraft-in-situ-meteorology-and-navigational-data","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"AASE II ER-2 Aircraft In-Situ Meteorology and Navigational Data","type":"dataset"},{"_score":5.972212,"_sort":[1788308788437,5.972212,0,"1b44bccd-bf8c-4d78-a70f-955ceac77b8e"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"AASE2_Analysis_ER2_Data contains modeled trajectories and meteorological data along the flight path for the ER-2 aircraft during the Airborne Arctic Stratospheric Expedition II (AASE II) suborbital campaign. Data collection for this product is complete.\n\nThe AASE campaign was a joint mission by NASA, NOAA, and the National Science Foundation (NSF). While this is one overarching campaign, AASE has been broken into two sub-campaigns: AASE and AASE-II namely, which each have their own mission goals. AASE\u2019s primary goal was to study the production and loss mechanism of ozone in the north polar stratospheric environment. This was after it was realized that ozone loss on either side of the 1987 Antarctic vortex during AAOE occurred under conditions found in the Arctic vortex. Along with this, AASE aimed to study the effect of ozone distribution of the Arctic polar vortex as well as the cold temperatures associated with the formation of Polar Stratospheric Clouds. AASE-II aims to answer three science questions. First, AASE-II asks: will significant erosion of stratospheric ozone occur over the Arctic as stratospheric chlorine levels increase during the next decade? Second, AASE-II sought to understand what the causes of mid-latitude stratospheric ozone decreases in late fall through early summer are. This objective comes from the observations of ground and satellite observations the decade prior to the campaign. Finally, due to the eruption of Mt. Pinatubo in June 1991, AASE-II aimed to address the effect volcanoes have on the chemical processes that govern stratospheric ozone. Specifically, this campaign questions if volcanic aerosols could modify depletion of stratospheric ozone associated with industrial halocarbons?\n\nIn order to accomplish these goals and answer these questions, AASE deployed the NASA DC-8 aircraft, NASA ER-2 aircraft, balloon sondes, and used imagery from satellites. These payloads and instruments were used for both AASE and AASE-II. Flights for AASE (including test flights) were conducted from December 1988 to February 1989, while flights for AASE-II (including test flights) were conducted from August 1991 to March 1992. The ER-2 was equipped with 13 instruments during AASE. Three instruments among those were the NOAA NO/NOy Instrument (NOAA NOy), the Multiple Axis Resonance Fluorescence Chemical Conversion Detector for ClO and BrO (ClO/BrO), and the Dual-Beam UV-Absorption Ozone Photometer (NOAA O3 Classic). The NOAA NOy was responsible for collecting data on NO volume mixing ratio in parts per billion (ppb), as well as NOy volume mixing ratio in ppb. As the name suggests, the ClO/BrO took measurements of BrO and ClO mixing ratio in ppb. The NOAA O3 Classic was enlisted on this campaign to take measurements of ozone in the atmosphere in ppb. The NASA DC-8 aircraft was equipped with 14 instruments. Three of those instruments were the Differential Absorption Lidar (DIAL), the Whole Air Sampler (WAS (NCAR)), and the NOAA Lyman-Alpha Total Water Hygrometer (NOAA TW). The DIAL recorded data on infrared (IR) aerosol depolarization percentages, IR atmospheric scattering ratio, ozone mixing ratio in ppb by volume, VIS aerosol depolarization percentages, and VIS atmospheric scattering ratio. The WAS (NCAR) collected data on mixing ratios of CO2, CH4, CO, N2O, CF2Cl2, CFCl3, C2F3Cl3, and CH3CCl3. The NOCAR (NCAR/NOAA) NO/NOy instrument made in situ observations at DC-8 flight levels which were found to record NOy falling gravitationally on particles formed at higher altitudes. Finally, the NOAA TW collected information about the H2O volume mixing ratio in parts per million (ppm). For AASE, the balloon sondes were used to collect data on air temperature, dew point depression, and wind speed.\n\nThe ER-2 aircraft was equipped with 18 instruments for AASE-II. Three of those instruments include the Microwave Temperature Profiler (MTP), the Argus Tunable Diode Laser Instrument (ARGUS), and the Aircraft Laser Infrared Absorption Spectrometer (ALIAS). The MTP collected data on atmospheric temperature and potential air temperature. The ARGUS measured N2O mixing ratio in ppb. Finally, the ALIAS collected data on N2O, CH4, HNO3, HCL, and H2O. The DC-8 aircraft was equipped with 16 instruments. Three of the instruments among the 16 include the Differential Absorption Carbon Monoxide Measurement (DACOM), the Whole Air Sampler (WAS (UCI)), and the Forward Scattering Spectrometer Probe (FSSP). The DACOM recorded measurements on the carbon monoxide mixing ratio (ppb), methane mixing ratio (ppb), nitrous oxide mixing ratio (ppb), and the carbon dioxide mixing ratio (ppm). The WAS (UCI) collected data on hydrocarbons/halocarbons in the atmosphere. While the FSSP collected concentrations and distribution of aerosol size. The balloon sondes for AASE-II collected temperature, ozone partial pressure, wind speed, and wind direction.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C3880729104-LARC_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/citing-data","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://cmr.earthdata.nasa.gov/virtual-directory/collections/C3880729104-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/ASDC/SUBORBITAL/AASE2_Analysis_ER2_Data_1","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://espo.nasa.gov/aase2/content/AASE2_Mission_Statement","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://espo.nasa.gov/aase2/content/AASE2_Science_Overview","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://espoarchive.nasa.gov/archive/browse/aase2","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://pubmed.ncbi.nlm.nih.gov/17790351/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C3880729104-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.earthdata.nasa.gov/data/projects/aase","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/ASDC/SUBORBITAL/AASE2_Analysis_ER2_Data_1","keyword":["earth-science-air-quality-atmosphere-nitrogen-oxides","earth-science-altitude-atmosphere-geopotential-height","earth-science-atmospheric-chemistry-atmosphere-halocarbons-and-halogens","earth-science-atmospheric-chemistry-atmosphere-hydrogen-compounds","earth-science-atmospheric-chemistry-atmosphere-nitrogen-compounds","earth-science-atmospheric-chemistry-atmosphere-oxygen-compounds","earth-science-atmospheric-temperature-atmosphere-surface-temperature","earth-science-atmospheric-winds-atmosphere-surface-winds","earth-science-atmospheric-winds-atmosphere-wind-dynamics"],"license":"https://www.usa.gov/government-works","modified":"2026-09-01","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/LARC/SD/ASDC"},"spatial":"[\"CARTESIAN\", [{\"NorthBoundingCoordinate\": 90, \"WestBoundingCoordinate\": -180, \"EastBoundingCoordinate\": 180, \"SouthBoundingCoordinate\": -80.11}]]","temporal":"1991-08-20/1992-03-29","theme":["Earth Science"],"title":"AASE II ER-2 Analysis Model Data"},"description":"AASE2_Analysis_ER2_Data contains modeled trajectories and meteorological data along the flight path for the ER-2 aircraft during the Airborne Arctic Stratospheric Expedition II (AASE II) suborbital campaign. Data collection for this product is complete.\n\nThe AASE campaign was a joint mission by NASA, NOAA, and the National Science Foundation (NSF). While this is one overarching campaign, AASE has been broken into two sub-campaigns: AASE and AASE-II namely, which each have their own mission goals. AASE\u2019s primary goal was to study the production and loss mechanism of ozone in the north polar stratospheric environment. This was after it was realized that ozone loss on either side of the 1987 Antarctic vortex during AAOE occurred under conditions found in the Arctic vortex. Along with this, AASE aimed to study the effect of ozone distribution of the Arctic polar vortex as well as the cold temperatures associated with the formation of Polar Stratospheric Clouds. AASE-II aims to answer three science questions. First, AASE-II asks: will significant erosion of stratospheric ozone occur over the Arctic as stratospheric chlorine levels increase during the next decade? Second, AASE-II sought to understand what the causes of mid-latitude stratospheric ozone decreases in late fall through early summer are. This objective comes from the observations of ground and satellite observations the decade prior to the campaign. Finally, due to the eruption of Mt. Pinatubo in June 1991, AASE-II aimed to address the effect volcanoes have on the chemical processes that govern stratospheric ozone. Specifically, this campaign questions if volcanic aerosols could modify depletion of stratospheric ozone associated with industrial halocarbons?\n\nIn order to accomplish these goals and answer these questions, AASE deployed the NASA DC-8 aircraft, NASA ER-2 aircraft, balloon sondes, and used imagery from satellites. These payloads and instruments were used for both AASE and AASE-II. Flights for AASE (including test flights) were conducted from December 1988 to February 1989, while flights for AASE-II (including test flights) were conducted from August 1991 to March 1992. The ER-2 was equipped with 13 instruments during AASE. Three instruments among those were the NOAA NO/NOy Instrument (NOAA NOy), the Multiple Axis Resonance Fluorescence Chemical Conversion Detector for ClO and BrO (ClO/BrO), and the Dual-Beam UV-Absorption Ozone Photometer (NOAA O3 Classic). The NOAA NOy was responsible for collecting data on NO volume mixing ratio in parts per billion (ppb), as well as NOy volume mixing ratio in ppb. As the name suggests, the ClO/BrO took measurements of BrO and ClO mixing ratio in ppb. The NOAA O3 Classic was enlisted on this campaign to take measurements of ozone in the atmosphere in ppb. The NASA DC-8 aircraft was equipped with 14 instruments. Three of those instruments were the Differential Absorption Lidar (DIAL), the Whole Air Sampler (WAS (NCAR)), and the NOAA Lyman-Alpha Total Water Hygrometer (NOAA TW). The DIAL recorded data on infrared (IR) aerosol depolarization percentages, IR atmospheric scattering ratio, ozone mixing ratio in ppb by volume, VIS aerosol depolarization percentages, and VIS atmospheric scattering ratio. The WAS (NCAR) collected data on mixing ratios of CO2, CH4, CO, N2O, CF2Cl2, CFCl3, C2F3Cl3, and CH3CCl3. The NOCAR (NCAR/NOAA) NO/NOy instrument made in situ observations at DC-8 flight levels which were found to record NOy falling gravitationally on particles formed at higher altitudes. Finally, the NOAA TW collected information about the H2O volume mixing ratio in parts per million (ppm). For AASE, the balloon sondes were used to collect data on air temperature, dew point depression, and wind speed.\n\nThe ER-2 aircraft was equipped with 18 instruments for AASE-II. Three of those instruments include the Microwave Temperature Profiler (MTP), the Argus Tunable Diode Laser Instrument (ARGUS), and the Aircraft Laser Infrared Absorption Spectrometer (ALIAS). The MTP collected data on atmospheric temperature and potential air temperature. The ARGUS measured N2O mixing ratio in ppb. Finally, the ALIAS collected data on N2O, CH4, HNO3, HCL, and H2O. The DC-8 aircraft was equipped with 16 instruments. Three of the instruments among the 16 include the Differential Absorption Carbon Monoxide Measurement (DACOM), the Whole Air Sampler (WAS (UCI)), and the Forward Scattering Spectrometer Probe (FSSP). The DACOM recorded measurements on the carbon monoxide mixing ratio (ppb), methane mixing ratio (ppb), nitrous oxide mixing ratio (ppb), and the carbon dioxide mixing ratio (ppm). The WAS (UCI) collected data on hydrocarbons/halocarbons in the atmosphere. While the FSSP collected concentrations and distribution of aerosol size. The balloon sondes for AASE-II collected temperature, ozone partial pressure, wind speed, and wind direction.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/b7777f54-07b1-4880-bdcf-c409b5693160","harvest_record_raw":"https://catalog.data.gov/harvest_record/b7777f54-07b1-4880-bdcf-c409b5693160/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/ASDC/SUBORBITAL/AASE2_Analysis_ER2_Data_1","keyword":["earth-science-air-quality-atmosphere-nitrogen-oxides","earth-science-altitude-atmosphere-geopotential-height","earth-science-atmospheric-chemistry-atmosphere-halocarbons-and-halogens","earth-science-atmospheric-chemistry-atmosphere-hydrogen-compounds","earth-science-atmospheric-chemistry-atmosphere-nitrogen-compounds","earth-science-atmospheric-chemistry-atmosphere-oxygen-compounds","earth-science-atmospheric-temperature-atmosphere-surface-temperature","earth-science-atmospheric-winds-atmosphere-surface-winds","earth-science-atmospheric-winds-atmosphere-wind-dynamics"],"last_harvested_date":"2026-09-02T00:26:28.437024","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":0,"publisher":"NASA/LARC/SD/ASDC","slug":"aase-ii-er-2-analysis-model-data","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"AASE II ER-2 Analysis Model Data","type":"dataset"},{"_score":5.989599,"_sort":[1788308788105,5.989599,0,"7fb0566c-f80a-4ac9-9f87-da67d3e3656f"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"AASE_Satellite_Data is the satellitel data collected during the Airborne Arctic Stratospheric Expedition (AASE) suborbital campaign. Data from the Total Ozone Mapping Spectrometer (TOMS) and Stratospheric Aerosol Measurement II (SAM II) is featured in this collection. Data collection for this product is complete.\n\nThe AASE campaign was a joint mission by NASA, NOAA, and the National Science Foundation (NSF). While this is one overarching campaign, AASE has been broken into two sub-campaigns: AASE and AASE-II namely, which each have their own mission goals. AASE\u2019s primary goal was to study the production and loss mechanism of ozone in the north polar stratospheric environment. This was after it was realized that ozone loss on either side of the 1987 Antarctic vortex during AAOE occurred under conditions found in the Arctic vortex. Along with this, AASE aimed to study the effect of ozone distribution of the Arctic polar vortex as well as the cold temperatures associated with the formation of Polar Stratospheric Clouds. AASE-II aims to answer three science questions. First, AASE-II asks: will significant erosion of stratospheric ozone occur over the Arctic as stratospheric chlorine levels increase during the next decade? Second, AASE-II sought to understand what the causes of mid-latitude stratospheric ozone decreases in late fall through early summer are. This objective comes from the observations of ground and satellite observations the decade prior to the campaign. Finally, due to the eruption of Mt. Pinatubo in June 1991, AASE-II aimed to address the effect volcanoes have on the chemical processes that govern stratospheric ozone. Specifically, this campaign questions if volcanic aerosols could modify depletion of stratospheric ozone associated with industrial halocarbons?\n\nIn order to accomplish these goals and answer these questions, AASE deployed the NASA DC-8 aircraft, NASA ER-2 aircraft, balloon sondes, and used imagery from satellites. These payloads and instruments were used for both AASE and AASE-II. Flights for AASE (including test flights) were conducted from December 1988 to February 1989, while flights for AASE-II (including test flights) were conducted from August 1991 to March 1992. The ER-2 was equipped with 13 instruments during AASE. Three instruments among those were the NOAA NO/NOy Instrument (NOAA NOy), the Multiple Axis Resonance Fluorescence Chemical Conversion Detector for ClO and BrO (ClO/BrO), and the Dual-Beam UV-Absorption Ozone Photometer (NOAA O3 Classic). The NOAA NOy was responsible for collecting data on NO volume mixing ratio in parts per billion (ppb), as well as NOy volume mixing ratio in ppb. As the name suggests, the ClO/BrO took measurements of BrO and ClO mixing ratio in ppb. The NOAA O3 Classic was enlisted on this campaign to take measurements of ozone in the atmosphere in ppb. The NASA DC-8 aircraft was equipped with 14 instruments. Three of those instruments were the Differential Absorption Lidar (DIAL), the Whole Air Sampler (WAS (NCAR)), and the NOAA Lyman-Alpha Total Water Hygrometer (NOAA TW). The DIAL recorded data on infrared (IR) aerosol depolarization percentages, IR atmospheric scattering ratio, ozone mixing ratio in ppb by volume, VIS aerosol depolarization percentages, and VIS atmospheric scattering ratio. The WAS (NCAR) collected data on mixing ratios of CO2, CH4, CO, N2O, CF2Cl2, CFCl3, C2F3Cl3, and CH3CCl3. The NOCAR (NCAR/NOAA) NO/NOy instrument made in situ observations at DC-8 flight levels which were found to record NOy falling gravitationally on particles formed at higher altitudes. Finally, the NOAA TW collected information about the H2O volume mixing ratio in parts per million (ppm). For AASE, the balloon sondes were used to collect data on air temperature, dew point depression, and wind speed.\n\nThe ER-2 aircraft was equipped with 18 instruments for AASE-II. Three of those instruments include the Microwave Temperature Profiler (MTP), the Argus Tunable Diode Laser Instrument (ARGUS), and the Aircraft Laser Infrared Absorption Spectrometer (ALIAS). The MTP collected data on atmospheric temperature and potential air temperature. The ARGUS measured N2O mixing ratio in ppb. Finally, the ALIAS collected data on N2O, CH4, HNO3, HCL, and H2O. The DC-8 aircraft was equipped with 16 instruments. Three of the instruments among the 16 include the Differential Absorption Carbon Monoxide Measurement (DACOM), the Whole Air Sampler (WAS (UCI)), and the Forward Scattering Spectrometer Probe (FSSP). The DACOM recorded measurements on the carbon monoxide mixing ratio (ppb), methane mixing ratio (ppb), nitrous oxide mixing ratio (ppb), and the carbon dioxide mixing ratio (ppm). The WAS (UCI) collected data on hydrocarbons/halocarbons in the atmosphere. While the FSSP collected concentrations and distribution of aerosol size. The balloon sondes for AASE-II collected temperature, ozone partial pressure, wind speed, and wind direction.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C3880545879-LARC_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/GL017i004p00401","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/citing-data","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://cmr.earthdata.nasa.gov/virtual-directory/C3880545879-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/ASDC/SUBORBITAL/AASE_Satellite_Data_1","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://espo.nasa.gov/aase/content/AASE_Science_Overview","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://espoarchive.nasa.gov/archive/browse/aase","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C3880545879-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/ASDC/SUBORBITAL/AASE_Satellite_Data_1","keyword":["earth-science-aerosols-atmosphere-aerosol-extinction","earth-science-altitude-atmosphere-tropopause","earth-science-atmospheric-chemistry-atmosphere-oxygen-compounds"],"license":"https://www.usa.gov/government-works","modified":"2026-09-01","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/LARC/SD/ASDC"},"spatial":"[\"CARTESIAN\", [{\"NorthBoundingCoordinate\": 77.33, \"WestBoundingCoordinate\": 22.31, \"EastBoundingCoordinate\": 132.1, \"SouthBoundingCoordinate\": 65.34}]]","temporal":"1988-12-01/1989-03-01","theme":["Earth Science"],"title":"AASE Satellite Data"},"description":"AASE_Satellite_Data is the satellitel data collected during the Airborne Arctic Stratospheric Expedition (AASE) suborbital campaign. Data from the Total Ozone Mapping Spectrometer (TOMS) and Stratospheric Aerosol Measurement II (SAM II) is featured in this collection. Data collection for this product is complete.\n\nThe AASE campaign was a joint mission by NASA, NOAA, and the National Science Foundation (NSF). While this is one overarching campaign, AASE has been broken into two sub-campaigns: AASE and AASE-II namely, which each have their own mission goals. AASE\u2019s primary goal was to study the production and loss mechanism of ozone in the north polar stratospheric environment. This was after it was realized that ozone loss on either side of the 1987 Antarctic vortex during AAOE occurred under conditions found in the Arctic vortex. Along with this, AASE aimed to study the effect of ozone distribution of the Arctic polar vortex as well as the cold temperatures associated with the formation of Polar Stratospheric Clouds. AASE-II aims to answer three science questions. First, AASE-II asks: will significant erosion of stratospheric ozone occur over the Arctic as stratospheric chlorine levels increase during the next decade? Second, AASE-II sought to understand what the causes of mid-latitude stratospheric ozone decreases in late fall through early summer are. This objective comes from the observations of ground and satellite observations the decade prior to the campaign. Finally, due to the eruption of Mt. Pinatubo in June 1991, AASE-II aimed to address the effect volcanoes have on the chemical processes that govern stratospheric ozone. Specifically, this campaign questions if volcanic aerosols could modify depletion of stratospheric ozone associated with industrial halocarbons?\n\nIn order to accomplish these goals and answer these questions, AASE deployed the NASA DC-8 aircraft, NASA ER-2 aircraft, balloon sondes, and used imagery from satellites. These payloads and instruments were used for both AASE and AASE-II. Flights for AASE (including test flights) were conducted from December 1988 to February 1989, while flights for AASE-II (including test flights) were conducted from August 1991 to March 1992. The ER-2 was equipped with 13 instruments during AASE. Three instruments among those were the NOAA NO/NOy Instrument (NOAA NOy), the Multiple Axis Resonance Fluorescence Chemical Conversion Detector for ClO and BrO (ClO/BrO), and the Dual-Beam UV-Absorption Ozone Photometer (NOAA O3 Classic). The NOAA NOy was responsible for collecting data on NO volume mixing ratio in parts per billion (ppb), as well as NOy volume mixing ratio in ppb. As the name suggests, the ClO/BrO took measurements of BrO and ClO mixing ratio in ppb. The NOAA O3 Classic was enlisted on this campaign to take measurements of ozone in the atmosphere in ppb. The NASA DC-8 aircraft was equipped with 14 instruments. Three of those instruments were the Differential Absorption Lidar (DIAL), the Whole Air Sampler (WAS (NCAR)), and the NOAA Lyman-Alpha Total Water Hygrometer (NOAA TW). The DIAL recorded data on infrared (IR) aerosol depolarization percentages, IR atmospheric scattering ratio, ozone mixing ratio in ppb by volume, VIS aerosol depolarization percentages, and VIS atmospheric scattering ratio. The WAS (NCAR) collected data on mixing ratios of CO2, CH4, CO, N2O, CF2Cl2, CFCl3, C2F3Cl3, and CH3CCl3. The NOCAR (NCAR/NOAA) NO/NOy instrument made in situ observations at DC-8 flight levels which were found to record NOy falling gravitationally on particles formed at higher altitudes. Finally, the NOAA TW collected information about the H2O volume mixing ratio in parts per million (ppm). For AASE, the balloon sondes were used to collect data on air temperature, dew point depression, and wind speed.\n\nThe ER-2 aircraft was equipped with 18 instruments for AASE-II. Three of those instruments include the Microwave Temperature Profiler (MTP), the Argus Tunable Diode Laser Instrument (ARGUS), and the Aircraft Laser Infrared Absorption Spectrometer (ALIAS). The MTP collected data on atmospheric temperature and potential air temperature. The ARGUS measured N2O mixing ratio in ppb. Finally, the ALIAS collected data on N2O, CH4, HNO3, HCL, and H2O. The DC-8 aircraft was equipped with 16 instruments. Three of the instruments among the 16 include the Differential Absorption Carbon Monoxide Measurement (DACOM), the Whole Air Sampler (WAS (UCI)), and the Forward Scattering Spectrometer Probe (FSSP). The DACOM recorded measurements on the carbon monoxide mixing ratio (ppb), methane mixing ratio (ppb), nitrous oxide mixing ratio (ppb), and the carbon dioxide mixing ratio (ppm). The WAS (UCI) collected data on hydrocarbons/halocarbons in the atmosphere. While the FSSP collected concentrations and distribution of aerosol size. The balloon sondes for AASE-II collected temperature, ozone partial pressure, wind speed, and wind direction.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/f05e931a-f6a1-4822-89fd-280a2e0f5c8b","harvest_record_raw":"https://catalog.data.gov/harvest_record/f05e931a-f6a1-4822-89fd-280a2e0f5c8b/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/ASDC/SUBORBITAL/AASE_Satellite_Data_1","keyword":["earth-science-aerosols-atmosphere-aerosol-extinction","earth-science-altitude-atmosphere-tropopause","earth-science-atmospheric-chemistry-atmosphere-oxygen-compounds"],"last_harvested_date":"2026-09-02T00:26:28.105003","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":0,"publisher":"NASA/LARC/SD/ASDC","slug":"aase-satellite-data","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"AASE Satellite Data","type":"dataset"}],"sort":"last_harvested_date"}