\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":"2026-09-15","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/1c4373c1-1c51-4d90-bcb8-b73cf7abde07","harvest_record_raw":"https://catalog.data.gov/harvest_record/1c4373c1-1c51-4d90-bcb8-b73cf7abde07/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":"2026-09-23T01:05:24.018150","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":12.675465,"_sort":[1790125493428,12.675465,1,"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":"2026-09-15","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/be949f0f-765a-49e9-a001-778ec0b0e708","harvest_record_raw":"https://catalog.data.gov/harvest_record/be949f0f-765a-49e9-a001-778ec0b0e708/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":"2026-09-23T01:04:53.428247","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":6.6132774,"_sort":[1790125474997,6.6132774,5,"ecff340e-3458-4575-be26-e3f864fadaec"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"U.S. Geological Survey, Alaska Science Center","hasEmail":"mailto:gs-ak_asc_datamanagers@usgs.gov"},"description":"This dataset contains fatty acid (FA) data expressed as mass percent of total FA for bearded seals, ringed seals and walrus. This is one of many datasets used in Bromaghin et al. 2016 (https://doi.org/10.1111/2041-210X.12456). These supplemental data were used in computer simulations to compare the bias of several quantitative fatty acid signature analysis (QFASA) estimators and develop recommendations regarding estimator selection.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/F7PR7T2W","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.ASC31.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_ASC31","keyword":["Alaska","Animals/Vertebrates","Arctic","Bearded seal","Bears","Biological informatics","Biota","Carnivores","Chukchi Sea","Coastal ecosystems","Diet composition","Diet estimation","Diets","Environment","Erignathus barbatus","Fatty Acids","Mammals","Marine ecosystems","Marine mammals","Pelagic habitat","Pinniped","Polar bear","Predator-prey","Pusa hispida","QFASA","Quantitative fatty acid signature analysis","Ringed seal","Seals/Sea lions/Walruses","USGS:ASC31","Ursus maritimus","Wildlife"],"modified":"2024-11-30T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-173.0, 65.0, -155.0, 72.0","theme":["geospatial"],"title":"Assessing the Robustness of Quantitative Fatty Acid Signature Analysis to Assumption Violations (Supplementary Data)"},"description":"This dataset contains fatty acid (FA) data expressed as mass percent of total FA for bearded seals, ringed seals and walrus. This is one of many datasets used in Bromaghin et al. 2016 (https://doi.org/10.1111/2041-210X.12456). These supplemental data were used in computer simulations to compare the bias of several quantitative fatty acid signature analysis (QFASA) estimators and develop recommendations regarding estimator selection.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/d8a54779-1a75-45f0-98c9-c1c7b9a9aeed","harvest_record_raw":"https://catalog.data.gov/harvest_record/d8a54779-1a75-45f0-98c9-c1c7b9a9aeed/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_ASC31","keyword":["Alaska","Animals/Vertebrates","Arctic","Bearded seal","Bears","Biological informatics","Biota","Carnivores","Chukchi Sea","Coastal ecosystems","Diet composition","Diet estimation","Diets","Environment","Erignathus barbatus","Fatty Acids","Mammals","Marine ecosystems","Marine mammals","Pelagic habitat","Pinniped","Polar bear","Predator-prey","Pusa hispida","QFASA","Quantitative fatty acid signature analysis","Ringed seal","Seals/Sea lions/Walruses","USGS:ASC31","Ursus maritimus","Wildlife"],"last_harvested_date":"2026-09-23T01:04:34.997979","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":5,"publisher":"U.S. Geological Survey","slug":"assessing-the-robustness-of-quantitative-fatty-acid-signature-analysis-to-assumption-viola","spatial_centroid":{"lat":67.8,"lon":-165.8},"spatial_shape":{"coordinates":[[[-173.0,65.0],[-173.0,72.0],[-155.0,72.0],[-155.0,65.0],[-173.0,65.0]]],"type":"Polygon"},"theme":["geospatial"],"title":"Assessing the Robustness of Quantitative Fatty Acid Signature Analysis to Assumption Violations (Supplementary Data)","type":"dataset"},{"_score":18.370007,"_sort":[1790125468606,18.370007,2,"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":"2026-09-15","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/12ab38f5-4fa6-4ef6-9e2c-133a579bed36","harvest_record_raw":"https://catalog.data.gov/harvest_record/12ab38f5-4fa6-4ef6-9e2c-133a579bed36/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":"2026-09-23T01:04:28.606431","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":18.460445,"_sort":[1790125468263,18.460445,4,"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":"2026-09-15","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/9c8c67dd-bea1-49c1-a547-e2aee7af6468","harvest_record_raw":"https://catalog.data.gov/harvest_record/9c8c67dd-bea1-49c1-a547-e2aee7af6468/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":"2026-09-23T01:04:28.263750","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":18.396736,"_sort":[1790125467930,18.396736,1,"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":"2026-09-15","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/6e9cdf59-272e-43a6-b848-04602d26e646","harvest_record_raw":"https://catalog.data.gov/harvest_record/6e9cdf59-272e-43a6-b848-04602d26e646/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":"2026-09-23T01:04:27.930445","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":15.28104,"_sort":[1790125463436,15.28104,1,"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":"2026-09-15","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/eecb3b7a-7c05-44a1-b79e-6cc4ed940b42","harvest_record_raw":"https://catalog.data.gov/harvest_record/eecb3b7a-7c05-44a1-b79e-6cc4ed940b42/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":"2026-09-23T01:04:23.436588","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":55.79273,"_sort":[1790125463112,55.79273,2,"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":"2026-09-15","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/fc4ed6cd-5dfb-4682-96ba-5186c4ab2b74","harvest_record_raw":"https://catalog.data.gov/harvest_record/fc4ed6cd-5dfb-4682-96ba-5186c4ab2b74/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":"2026-09-23T01:04:23.112944","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":18.648666,"_sort":[1790125461836,18.648666,1,"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":"2026-09-15","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/5a43db21-4a77-4c0d-8df7-e6b6564b0f14","harvest_record_raw":"https://catalog.data.gov/harvest_record/5a43db21-4a77-4c0d-8df7-e6b6564b0f14/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/FESJNXKYDCOE","keyword":["earth-science-platform-characteristics-spectral-engineering-data-synchronization-time"],"last_harvested_date":"2026-09-23T01:04:21.836247","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":10.429373,"_sort":[1790125298910,10.429373,10,"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":"2026-09-15","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/d617dde1-93a7-4867-9ccc-ec7964963d7d","harvest_record_raw":"https://catalog.data.gov/harvest_record/d617dde1-93a7-4867-9ccc-ec7964963d7d/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/Community/GHISA/GHISACONUS.001","keyword":["earth-science-agricultural-plant-science-agriculture"],"last_harvested_date":"2026-09-23T01:01:38.910032","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":15.821318,"_sort":[1790125297587,15.821318,1,"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":"2026-09-15","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/9d7da43c-c466-4728-9712-ca08b51ca6b8","harvest_record_raw":"https://catalog.data.gov/harvest_record/9d7da43c-c466-4728-9712-ca08b51ca6b8/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":"2026-09-23T01:01:37.587549","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":10.614813,"_sort":[1790125235574,10.614813,1,"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":"2026-09-15","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/793e9c6f-d61a-4680-9857-5b185c30e63c","harvest_record_raw":"https://catalog.data.gov/harvest_record/793e9c6f-d61a-4680-9857-5b185c30e63c/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":"2026-09-23T01:00:35.574981","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":12.086636,"_sort":[1790125234198,12.086636,2,"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":"2026-09-15","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/cde6182f-e34b-4f70-a0c0-1ed310ef322c","harvest_record_raw":"https://catalog.data.gov/harvest_record/cde6182f-e34b-4f70-a0c0-1ed310ef322c/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":"2026-09-23T01:00:34.198301","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":38.844482,"_sort":[1790125222559,38.844482,1,"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":"2026-09-15","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/ef49127e-bd5d-4565-a051-ae419a548c0a","harvest_record_raw":"https://catalog.data.gov/harvest_record/ef49127e-bd5d-4565-a051-ae419a548c0a/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":"2026-09-23T01:00:22.559994","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":15.058523,"_sort":[1790125188196,15.058523,1,"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":"2026-09-15","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/ab22567c-9045-4953-9822-dbdad83a864f","harvest_record_raw":"https://catalog.data.gov/harvest_record/ab22567c-9045-4953-9822-dbdad83a864f/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":"2026-09-23T00:59:48.196497","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":15.74336,"_sort":[1790125186221,15.74336,2,"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":"2026-09-15","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/72ee78fb-5a17-4347-81af-b1c7088d75ef","harvest_record_raw":"https://catalog.data.gov/harvest_record/72ee78fb-5a17-4347-81af-b1c7088d75ef/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":"2026-09-23T00:59:46.221078","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":10.033297,"_sort":[1790125101951,10.033297,1,"4c15edc0-6824-49d4-a200-c9b1af8d5e7f"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Ryan F. Thompson","hasEmail":"mailto:rcthomps@usgs.gov"},"description":"This data set contains land surface elevations on dry and wadeable portions of transects for the \nhydrographic surveys on the Missouri River below Gavins Point Dam near River Mile 769.8. \nThis data provides land surface elevations of shallow-water, shore, and highbank for the \nMissouri River prior to construction of Emergent Sandbar Habitat.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://water.usgs.gov/GIS/dsdl/up_pre_gps.zip","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.985cf61c-0fe2-4ecb-abca-86e5089aaeff.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_985cf61c-0fe2-4ecb-abca-86e5089aaeff","keyword":["Hydrographic Survey","USGS:985cf61c-0fe2-4ecb-abca-86e5089aaeff","environment","geoscientificInformation","inlandWaters"],"modified":"2020-11-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-96.914945, 42.701005, -96.821300, 42.738139","theme":["geospatial"],"title":"GPS data collected for transects as part of the pre-construction survey at Emergent Sandbar Habitat site on the Missouri River near river mile 769.8"},"description":"This data set contains land surface elevations on dry and wadeable portions of transects for the \nhydrographic surveys on the Missouri River below Gavins Point Dam near River Mile 769.8. \nThis data provides land surface elevations of shallow-water, shore, and highbank for the \nMissouri River prior to construction of Emergent Sandbar Habitat.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/21a4cf3d-7fbe-4e80-89cd-91f7aba9c224","harvest_record_raw":"https://catalog.data.gov/harvest_record/21a4cf3d-7fbe-4e80-89cd-91f7aba9c224/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_985cf61c-0fe2-4ecb-abca-86e5089aaeff","keyword":["Hydrographic Survey","USGS:985cf61c-0fe2-4ecb-abca-86e5089aaeff","environment","geoscientificInformation","inlandWaters"],"last_harvested_date":"2026-09-23T00:58:21.951103","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":1,"publisher":"U.S. Geological Survey","slug":"gps-data-collected-for-transects-as-part-of-the-pre-construction-survey-at-emergent-sandba","spatial_centroid":{"lat":42.715858600000004,"lon":-96.877487},"spatial_shape":{"coordinates":[[[-96.914945,42.701005],[-96.914945,42.738139],[-96.8213,42.738139],[-96.8213,42.701005],[-96.914945,42.701005]]],"type":"Polygon"},"theme":["geospatial"],"title":"GPS data collected for transects as part of the pre-construction survey at Emergent Sandbar Habitat site on the Missouri River near river mile 769.8","type":"dataset"},{"_score":13.117725,"_sort":[1790125057501,13.117725,2,"fd124052-d2fe-4782-a309-398f67c7ca24"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"MIL2ASAE_3 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 2 Aerosol parameters Version 3 product. It contains information on retrieved aerosol column amount, aerosol particle properties, and ancillary information based on Level 1B2 geolocated radiances observed by MISR. Data collection for this product is ongoing. \n\nAs the instrument flies overhead, each piece of Earth's surface below is successively imaged by all nine cameras in each of the 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth's environment and distinguish different types of clouds, particles, and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.\nThe entire mission has been reprocessed to version 3. The revision to the aerosol and land surface products includes both product format and significant algorithm changes, which impact the quality and performance of both aerosol and land surface retrievals.","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/C2854336973-LARC_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/misr/ASDC_MISR_Overview_2015.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/misr/DPS_AEROSOL_V023.20180125.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/misr/DPS_v50_RevS.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/misr/MISR_ATBDs.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/misr/dps/misr_dps.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/misr/dps/specific_products.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/misr/guide/MISR_Science_Data_Product_Guide.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/misr/guide/misr_ov2.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/misr/imagery.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/misr/misr_qual_stmts_current.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/misr/observing_concept.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/misr/obtaining_misr_data.ppt","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/misr/overview_misr.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/misr/quality_summaries/DQS_AEROSOL_V023.20180207.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/misr/terra-maneuvers.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/misr/tools/misr_paths.kml","format":"KML","mediaType":"application/vnd.google-earth.kml+xml"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/misr/version/file_descriptions.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/misr/version/index.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/project/MISR","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/tools-and-services","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://cdn.earthdata.nasa.gov/conduit/upload/1187/NASA_SOP_2007_Following_the_World_Trade_Center_plume.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://cdn.earthdata.nasa.gov/conduit/upload/1194/NASA_SOP_2008_Aerosols_over_Australia.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://cdn.earthdata.nasa.gov/conduit/upload/1240/NASA_SOP_2009_Smoke_over_Athens.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://cdn.earthdata.nasa.gov/conduit/upload/1257/NASA_SOP_2005_Cloudy_with_a_Chance_of_Drizzle.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://cmr.earthdata.nasa.gov/virtual-directory/collections/C2854336973-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/TERRA/MISR/MIL2ASAE_L2.003","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://earthobservatory.nasa.gov/features/Earthquake","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://earthobservatory.nasa.gov/features/tracking","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://earthobservatory.nasa.gov/images/90764/looking-at-the-moon-to-better-see-earth","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://l0dup05.larc.nasa.gov/cgi-bin/DUE/ecs_pge_history_L2_PR.cgi","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://l0dup05.larc.nasa.gov/cgi-bin/MISR/main.cgi","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://l0dup05.larc.nasa.gov/misr_loc/misr_loc.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://misr.jpl.nasa.gov/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://misr.jpl.nasa.gov/publications/peerReviewed/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://opendap.larc.nasa.gov/opendap/MISR/MIL2ASAE.003/contents.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://photojournal.jpl.nasa.gov/catalog/PIA21945","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C2854336973-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://terra.nasa.gov/?section=60","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.google.com/earth/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.jpl.nasa.gov/spaceimages/details.php?id=PIA21927","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/TERRA/MISR/MIL2ASAE_L2.003","keyword":["earth-science-aerosols-atmosphere","earth-science-aerosols-atmosphere-aerosol-extinction","earth-science-aerosols-atmosphere-aerosol-particle-properties","earth-science-air-quality-atmosphere-particulates","earth-science-air-quality-atmosphere-turbidity"],"license":"https://www.usa.gov/government-works","modified":"2026-09-15","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/LARC/SD/ASDC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -180, \"NorthBoundingCoordinate\": 90, \"EastBoundingCoordinate\": 180, \"SouthBoundingCoordinate\": -90}]]","temporal":"1999-12-18/2026-09-07","theme":["Earth Science"],"title":"MISR Level 2 Aerosol parameters V003"},"description":"MIL2ASAE_3 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 2 Aerosol parameters Version 3 product. It contains information on retrieved aerosol column amount, aerosol particle properties, and ancillary information based on Level 1B2 geolocated radiances observed by MISR. Data collection for this product is ongoing. \n\nAs the instrument flies overhead, each piece of Earth's surface below is successively imaged by all nine cameras in each of the 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth's environment and distinguish different types of clouds, particles, and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.\nThe entire mission has been reprocessed to version 3. The revision to the aerosol and land surface products includes both product format and significant algorithm changes, which impact the quality and performance of both aerosol and land surface retrievals.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/04643c69-eaef-4816-829f-87c0e87d08db","harvest_record_raw":"https://catalog.data.gov/harvest_record/04643c69-eaef-4816-829f-87c0e87d08db/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/TERRA/MISR/MIL2ASAE_L2.003","keyword":["earth-science-aerosols-atmosphere","earth-science-aerosols-atmosphere-aerosol-extinction","earth-science-aerosols-atmosphere-aerosol-particle-properties","earth-science-air-quality-atmosphere-particulates","earth-science-air-quality-atmosphere-turbidity"],"last_harvested_date":"2026-09-23T00:57:37.501667","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":"misr-level-2-aerosol-parameters-v003","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"MISR Level 2 Aerosol parameters V003","type":"dataset"},{"_score":11.550087,"_sort":[1790125040353,11.550087,1,"17d41071-3ba3-46c8-867c-3b3da2b81469"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"NASA Space Physics Data Facility","hasEmail":"mailto:NASA-SPDF-Support@nasa.onmicrosoft.com"},"description":"The SDO/AIA 211 \u00c5 Level 1 FITS Data. The 211 \u00c5 channel observes the Fe xiv line from active region corona (2.0 MK). \n\nThe Atmospheric Imaging Assembly (AIA) onboard Solar Dynamics Observatory (SDO) focuses on the evolution of the magnetic environment in the Sun\u2019s atmosphere, and its interaction with embedded and surrounding plasma. The AIA investigation covers a broad range of science objectives that focus on five core research themes that both advance solar and heliospheric physics in general and provide advanced warning of coronal and inner-heliospheric disturbances of interest to the Living With a Star (LWS) program, i.e., global change, space weather, human exploration of space, and technological infrastructure in space and on Earth.\n\nAIA provides the following essential capabilities: i) A view of the entire Sun in 4k x 4k resolution (pixel size of 0.6 arcseconds), with full thermal coverage of the corona; ii) A high signal-to-noise ratio for two- to three-second exposures that reaches 100 in quiescent conditions for the low-temperature coronal-imaging channels and during flaring in the higher-temperature channels, with a dynamic range of up to 10,000; iii) Essentially uninterrupted viewing for months at a temporal cadence of 12 seconds in seven extreme UV (EUV) band passes (94, 131, 171, 193, 211, 304 and 335 \u00c5), and 24 seconds for two UV channels (1600 and 1700 \u00c5) band passes; iv) In special observing modes, AIA can capture images of the Sun at higher cadence while keeping within the instrument allocated telemetry by using a subset of bandpass channels, and/or using a crop table.","distribution":[{"@type":"dcat:Distribution","downloadURL":"http://jsoc.stanford.edu/ajax/exportdata.html?ds=aia.lev1_euv_12s%5B2020-01-01T00%3A00%3A00%2F20m%5D%5B211%5D","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://aia.lmsal.com/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.1007/s11207-011-9776-8","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://helio.data.nasa.gov/dataset/SDO_AIA_EUV211_PT12S","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://hpde.io/NASA/NumericalData/SDO/AIA/EUV211/PT12S","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://sdac.virtualsolar.org/cgi/search?time=1&instrument=AIA&spectrum=1&version=current&build=1","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"https://doi.org/10.48322/dpmb-xg29","keyword":["imageintensity"],"landingPage":"https://doi.org/10.48322/dpmb-xg29","license":"https://www.usa.gov/government-works","modified":"2026-09-21","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"HMI-AIA.JSOC"},"theme":["Heliophysics"],"title":"SDO/AIA 211 Angstrom FITS Data"},"description":"The SDO/AIA 211 \u00c5 Level 1 FITS Data. The 211 \u00c5 channel observes the Fe xiv line from active region corona (2.0 MK). \n\nThe Atmospheric Imaging Assembly (AIA) onboard Solar Dynamics Observatory (SDO) focuses on the evolution of the magnetic environment in the Sun\u2019s atmosphere, and its interaction with embedded and surrounding plasma. The AIA investigation covers a broad range of science objectives that focus on five core research themes that both advance solar and heliospheric physics in general and provide advanced warning of coronal and inner-heliospheric disturbances of interest to the Living With a Star (LWS) program, i.e., global change, space weather, human exploration of space, and technological infrastructure in space and on Earth.\n\nAIA provides the following essential capabilities: i) A view of the entire Sun in 4k x 4k resolution (pixel size of 0.6 arcseconds), with full thermal coverage of the corona; ii) A high signal-to-noise ratio for two- to three-second exposures that reaches 100 in quiescent conditions for the low-temperature coronal-imaging channels and during flaring in the higher-temperature channels, with a dynamic range of up to 10,000; iii) Essentially uninterrupted viewing for months at a temporal cadence of 12 seconds in seven extreme UV (EUV) band passes (94, 131, 171, 193, 211, 304 and 335 \u00c5), and 24 seconds for two UV channels (1600 and 1700 \u00c5) band passes; iv) In special observing modes, AIA can capture images of the Sun at higher cadence while keeping within the instrument allocated telemetry by using a subset of bandpass channels, and/or using a crop table.","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/093caf4b-c1c0-45ca-9ef5-595b5c94aa02","harvest_record_raw":"https://catalog.data.gov/harvest_record/093caf4b-c1c0-45ca-9ef5-595b5c94aa02/raw","has_download":true,"has_spatial":false,"identifier":"https://doi.org/10.48322/dpmb-xg29","keyword":["imageintensity"],"last_harvested_date":"2026-09-23T00:57:20.353293","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":"HMI-AIA.JSOC","slug":"sdo-aia-211-angstrom-fits-data","spatial_centroid":null,"spatial_shape":null,"theme":["Heliophysics"],"title":"SDO/AIA 211 Angstrom FITS Data","type":"dataset"},{"_score":11.508297,"_sort":[1790125039472,11.508297,3,"d592613d-4b42-46dc-9556-e3eb11f470d7"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"NASA Space Physics Data Facility","hasEmail":"mailto:NASA-SPDF-Support@nasa.onmicrosoft.com"},"description":"The SDO/AIA 304 \u00c5 Level 1 FITS Data. The 304 \u00c5 channel observes the He ii line from chromosphere and transition region (0.50 MK). \n\nThe Atmospheric Imaging Assembly (AIA) onboard Solar Dynamics Observatory (SDO) focuses on the evolution of the magnetic environment in the Sun\u2019s atmosphere, and its interaction with embedded and surrounding plasma. The AIA investigation covers a broad range of science objectives that focus on five core research themes that both advance solar and heliospheric physics in general and provide advanced warning of coronal and inner-heliospheric disturbances of interest to the Living With a Star (LWS) program, i.e., global change, space weather, human exploration of space, and technological infrastructure in space and on Earth.\n\nAIA provides the following essential capabilities: i) A view of the entire Sun in 4k x 4k resolution (pixel size of 0.6 arcseconds), with full thermal coverage of the corona; ii) A high signal-to-noise ratio for two- to three-second exposures that reaches 100 in quiescent conditions for the low-temperature coronal-imaging channels and during flaring in the higher-temperature channels, with a dynamic range of up to 10,000; iii) Essentially uninterrupted viewing for months at a temporal cadence of 12 seconds in seven extreme UV (EUV) band passes (94, 131, 171, 193, 211, 304 and 335 \u00c5), and 24 seconds for two UV channels (1600 and 1700 \u00c5) band passes; iv) In special observing modes, AIA can capture images of the Sun at higher cadence while keeping within the instrument allocated telemetry by using a subset of bandpass channels, and/or using a crop table.","distribution":[{"@type":"dcat:Distribution","downloadURL":"http://jsoc.stanford.edu/ajax/exportdata.html?ds=aia.lev1_euv_12s%5B2020-01-01T00%3A00%3A00%2F20m%5D%5B304%5D","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://aia.lmsal.com/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.1007/s11207-011-9776-8","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://helio.data.nasa.gov/dataset/SDO_AIA_EUV304_PT12S","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://hpde.io/NASA/NumericalData/SDO/AIA/EUV304/PT12S","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://sdac.virtualsolar.org/cgi/search?time=1&instrument=AIA&spectrum=1&version=current&build=1","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"https://doi.org/10.48322/z1ks-mk18","keyword":["imageintensity"],"landingPage":"https://doi.org/10.48322/z1ks-mk18","license":"https://www.usa.gov/government-works","modified":"2026-09-21","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"HMI-AIA.JSOC"},"theme":["Heliophysics"],"title":"SDO/AIA 304 Angstrom FITS Data"},"description":"The SDO/AIA 304 \u00c5 Level 1 FITS Data. The 304 \u00c5 channel observes the He ii line from chromosphere and transition region (0.50 MK). \n\nThe Atmospheric Imaging Assembly (AIA) onboard Solar Dynamics Observatory (SDO) focuses on the evolution of the magnetic environment in the Sun\u2019s atmosphere, and its interaction with embedded and surrounding plasma. The AIA investigation covers a broad range of science objectives that focus on five core research themes that both advance solar and heliospheric physics in general and provide advanced warning of coronal and inner-heliospheric disturbances of interest to the Living With a Star (LWS) program, i.e., global change, space weather, human exploration of space, and technological infrastructure in space and on Earth.\n\nAIA provides the following essential capabilities: i) A view of the entire Sun in 4k x 4k resolution (pixel size of 0.6 arcseconds), with full thermal coverage of the corona; ii) A high signal-to-noise ratio for two- to three-second exposures that reaches 100 in quiescent conditions for the low-temperature coronal-imaging channels and during flaring in the higher-temperature channels, with a dynamic range of up to 10,000; iii) Essentially uninterrupted viewing for months at a temporal cadence of 12 seconds in seven extreme UV (EUV) band passes (94, 131, 171, 193, 211, 304 and 335 \u00c5), and 24 seconds for two UV channels (1600 and 1700 \u00c5) band passes; iv) In special observing modes, AIA can capture images of the Sun at higher cadence while keeping within the instrument allocated telemetry by using a subset of bandpass channels, and/or using a crop table.","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/8d234d94-cb81-43e4-b9a6-9b6f38b7f54e","harvest_record_raw":"https://catalog.data.gov/harvest_record/8d234d94-cb81-43e4-b9a6-9b6f38b7f54e/raw","has_download":true,"has_spatial":false,"identifier":"https://doi.org/10.48322/z1ks-mk18","keyword":["imageintensity"],"last_harvested_date":"2026-09-23T00:57:19.472591","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":"HMI-AIA.JSOC","slug":"sdo-aia-304-angstrom-fits-data","spatial_centroid":null,"spatial_shape":null,"theme":["Heliophysics"],"title":"SDO/AIA 304 Angstrom FITS Data","type":"dataset"},{"_score":11.550087,"_sort":[1790125037699,11.550087,3,"dd47c6b6-06f3-41a8-8394-15ab671b1b68"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"NASA Space Physics Data Facility","hasEmail":"mailto:NASA-SPDF-Support@nasa.onmicrosoft.com"},"description":"The SDO/AIA 193 \u00c5 Level 1 FITS Data. The 193 \u00c5 channel observes the Fe xii and Fe xxiv lines from corona (1.3 MK) and hot flare plasma (20 MK), respectively.\n\nThe Atmospheric Imaging Assembly (AIA) onboard Solar Dynamics Observatory (SDO) focuses on the evolution of the magnetic environment in the Sun\u2019s atmosphere, and its interaction with embedded and surrounding plasma. The AIA investigation covers a broad range of science objectives that focus on five core research themes that both advance solar and heliospheric physics in general and provide advanced warning of coronal and inner-heliospheric disturbances of interest to the Living With a Star (LWS) program, i.e., global change, space weather, human exploration of space, and technological infrastructure in space and on Earth.\n\nAIA provides the following essential capabilities: i) A view of the entire Sun in 4k x 4k resolution (pixel size of 0.6 arcseconds), with full thermal coverage of the corona; ii) A high signal-to-noise ratio for two- to three-second exposures that reaches 100 in quiescent conditions for the low-temperature coronal-imaging channels and during flaring in the higher-temperature channels, with a dynamic range of up to 10,000; iii) Essentially uninterrupted viewing for months at a temporal cadence of 12 seconds in seven extreme UV (EUV) band passes (94, 131, 171, 193, 211, 304 and 335 \u00c5), and 24 seconds for two UV channels (1600 and 1700 \u00c5) band passes; iv) In special observing modes, AIA can capture images of the Sun at higher cadence while keeping within the instrument allocated telemetry by using a subset of bandpass channels, and/or using a crop table.","distribution":[{"@type":"dcat:Distribution","downloadURL":"http://jsoc.stanford.edu/ajax/exportdata.html?ds=aia.lev1_euv_12s%5B2020-01-01T00%3A00%3A00%2F20m%5D%5B193%5D","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://aia.lmsal.com/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.1007/s11207-011-9776-8","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://helio.data.nasa.gov/dataset/SDO_AIA_EUV193_PT12S","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://hpde.io/NASA/NumericalData/SDO/AIA/EUV193/PT12S","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://sdac.virtualsolar.org/cgi/search?time=1&instrument=AIA&spectrum=1&version=current&build=1","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"https://doi.org/10.48322/094z-2d40","keyword":["imageintensity"],"landingPage":"https://doi.org/10.48322/094z-2d40","license":"https://www.usa.gov/government-works","modified":"2026-09-21","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"HMI-AIA.JSOC"},"theme":["Heliophysics"],"title":"SDO/AIA 193 Angstrom FITS Data"},"description":"The SDO/AIA 193 \u00c5 Level 1 FITS Data. The 193 \u00c5 channel observes the Fe xii and Fe xxiv lines from corona (1.3 MK) and hot flare plasma (20 MK), respectively.\n\nThe Atmospheric Imaging Assembly (AIA) onboard Solar Dynamics Observatory (SDO) focuses on the evolution of the magnetic environment in the Sun\u2019s atmosphere, and its interaction with embedded and surrounding plasma. The AIA investigation covers a broad range of science objectives that focus on five core research themes that both advance solar and heliospheric physics in general and provide advanced warning of coronal and inner-heliospheric disturbances of interest to the Living With a Star (LWS) program, i.e., global change, space weather, human exploration of space, and technological infrastructure in space and on Earth.\n\nAIA provides the following essential capabilities: i) A view of the entire Sun in 4k x 4k resolution (pixel size of 0.6 arcseconds), with full thermal coverage of the corona; ii) A high signal-to-noise ratio for two- to three-second exposures that reaches 100 in quiescent conditions for the low-temperature coronal-imaging channels and during flaring in the higher-temperature channels, with a dynamic range of up to 10,000; iii) Essentially uninterrupted viewing for months at a temporal cadence of 12 seconds in seven extreme UV (EUV) band passes (94, 131, 171, 193, 211, 304 and 335 \u00c5), and 24 seconds for two UV channels (1600 and 1700 \u00c5) band passes; iv) In special observing modes, AIA can capture images of the Sun at higher cadence while keeping within the instrument allocated telemetry by using a subset of bandpass channels, and/or using a crop table.","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/909b51b3-a8ed-4879-9235-75491a7574ff","harvest_record_raw":"https://catalog.data.gov/harvest_record/909b51b3-a8ed-4879-9235-75491a7574ff/raw","has_download":true,"has_spatial":false,"identifier":"https://doi.org/10.48322/094z-2d40","keyword":["imageintensity"],"last_harvested_date":"2026-09-23T00:57:17.699095","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":"HMI-AIA.JSOC","slug":"sdo-aia-193-angstrom-fits-data","spatial_centroid":null,"spatial_shape":null,"theme":["Heliophysics"],"title":"SDO/AIA 193 Angstrom FITS Data","type":"dataset"},{"_score":23.378971,"_sort":[1790125037106,23.378971,1,"b1a65b09-8bf3-4aaa-829a-153e40d46ae3"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Planetary Data System","hasEmail":"mailto:pds-operator@jpl.nasa.gov"},"description":"This data set contains count rates (1/s) as measured by the Standard Radiation Environment Monitor (SREM) instrument on the Rosetta spacecraft, along with their standard deviations. The primary target is comet 67P/Churyumov-Gerasimenko. These are CODMAC Level 2 Experiment Data Record data, and provide a measure of the radiation in the spacecraft environment during the Medium Term Plan 23 period of the ESCORT 4 mission phase.","identifier":"urn:nasa:pds:context_pds3:data_set:data_set.ro-x-srem-2-esc4-mtp023-v1.0;urn:nasa:pds:context_pds3:data_set:data_set.ro-x-srem-2-esc4-mtp023-v1.0::1.0","keyword":["__"],"license":"https://www.usa.gov/government-works","modified":"2026-09-21","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"Small Bodies"},"theme":["Planetary Science"],"title":"ROSETTA-ORBITER 67P SREM 2 ESCORT 4 MTP023 V1.0"},"description":"This data set contains count rates (1/s) as measured by the Standard Radiation Environment Monitor (SREM) instrument on the Rosetta spacecraft, along with their standard deviations. The primary target is comet 67P/Churyumov-Gerasimenko. These are CODMAC Level 2 Experiment Data Record data, and provide a measure of the radiation in the spacecraft environment during the Medium Term Plan 23 period of the ESCORT 4 mission phase.","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/c44ec9b3-b26c-416b-89b7-77b01e717374","harvest_record_raw":"https://catalog.data.gov/harvest_record/c44ec9b3-b26c-416b-89b7-77b01e717374/raw","has_download":false,"has_spatial":false,"identifier":"urn:nasa:pds:context_pds3:data_set:data_set.ro-x-srem-2-esc4-mtp023-v1.0;urn:nasa:pds:context_pds3:data_set:data_set.ro-x-srem-2-esc4-mtp023-v1.0::1.0","keyword":["__"],"last_harvested_date":"2026-09-23T00:57:17.106235","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":"Small Bodies","slug":"rosetta-orbiter-67p-srem-2-escort-4-mtp023-v1-0-ab178","spatial_centroid":null,"spatial_shape":null,"theme":["Planetary Science"],"title":"ROSETTA-ORBITER 67P SREM 2 ESCORT 4 MTP023 V1.0","type":"dataset"},{"_score":11.360678,"_sort":[1790125036255,11.360678,2,"4e8db286-859b-4808-afe6-6f5fc87cfcd0"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"NASA Space Physics Data Facility","hasEmail":"mailto:NASA-SPDF-Support@nasa.onmicrosoft.com"},"description":"The SDO/AIA 1600 \u00c5 Level 1 FITS Data. The 1600 \u00c5 channel observes the C iv line and continuum from the transition region and the upper photosphere, respectively. \n\nThe Atmospheric Imaging Assembly (AIA) onboard Solar Dynamics Observatory (SDO) focuses on the evolution of the magnetic environment in the Sun\u2019s atmosphere, and its interaction with embedded and surrounding plasma. The AIA investigation covers a broad range of science objectives that focus on five core research themes that both advance solar and heliospheric physics in general and provide advanced warning of coronal and inner-heliospheric disturbances of interest to the Living With a Star (LWS) program, i.e., global change, space weather, human exploration of space, and technological infrastructure in space and on Earth.\n\nAIA provides the following essential capabilities: i) A view of the entire Sun in 4k x 4k resolution (pixel size of 0.6 arcseconds), with full thermal coverage of the corona; ii) A high signal-to-noise ratio for two- to three-second exposures that reaches 100 in quiescent conditions for the low-temperature coronal-imaging channels and during flaring in the higher-temperature channels, with a dynamic range of up to 10,000; iii) Essentially uninterrupted viewing for months at a temporal cadence of 12 seconds in seven extreme UV (EUV) band passes (94, 131, 171, 193, 211, 304 and 335 \u00c5), and 24 seconds for two UV channels (1600 and 1700 \u00c5) band passes; iv) In special observing modes, AIA can capture images of the Sun at higher cadence while keeping within the instrument allocated telemetry by using a subset of bandpass channels, and/or using a crop table.","distribution":[{"@type":"dcat:Distribution","downloadURL":"http://jsoc.stanford.edu/ajax/exportdata.html?ds=aia.lev1_uv_24s%5B2020-01-01T00%3A00%3A00%2F20m%5D%5B1600%5D","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://aia.lmsal.com/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.1007/s11207-011-9776-8","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://helio.data.nasa.gov/dataset/SDO_AIA_UV1600_PT24S","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://hpde.io/NASA/NumericalData/SDO/AIA/UV1600/PT24S","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://sdac.virtualsolar.org/cgi/search?time=1&instrument=AIA&spectrum=1&version=current&build=1","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"https://doi.org/10.48322/fwtc-3d78","keyword":["imageintensity"],"landingPage":"https://doi.org/10.48322/fwtc-3d78","license":"https://www.usa.gov/government-works","modified":"2026-09-21","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"HMI-AIA.JSOC"},"theme":["Heliophysics"],"title":"SDO/AIA 1600 Angstrom FITS Data"},"description":"The SDO/AIA 1600 \u00c5 Level 1 FITS Data. The 1600 \u00c5 channel observes the C iv line and continuum from the transition region and the upper photosphere, respectively. \n\nThe Atmospheric Imaging Assembly (AIA) onboard Solar Dynamics Observatory (SDO) focuses on the evolution of the magnetic environment in the Sun\u2019s atmosphere, and its interaction with embedded and surrounding plasma. The AIA investigation covers a broad range of science objectives that focus on five core research themes that both advance solar and heliospheric physics in general and provide advanced warning of coronal and inner-heliospheric disturbances of interest to the Living With a Star (LWS) program, i.e., global change, space weather, human exploration of space, and technological infrastructure in space and on Earth.\n\nAIA provides the following essential capabilities: i) A view of the entire Sun in 4k x 4k resolution (pixel size of 0.6 arcseconds), with full thermal coverage of the corona; ii) A high signal-to-noise ratio for two- to three-second exposures that reaches 100 in quiescent conditions for the low-temperature coronal-imaging channels and during flaring in the higher-temperature channels, with a dynamic range of up to 10,000; iii) Essentially uninterrupted viewing for months at a temporal cadence of 12 seconds in seven extreme UV (EUV) band passes (94, 131, 171, 193, 211, 304 and 335 \u00c5), and 24 seconds for two UV channels (1600 and 1700 \u00c5) band passes; iv) In special observing modes, AIA can capture images of the Sun at higher cadence while keeping within the instrument allocated telemetry by using a subset of bandpass channels, and/or using a crop table.","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/7563f262-07ba-4f91-acab-5cb7260b26a0","harvest_record_raw":"https://catalog.data.gov/harvest_record/7563f262-07ba-4f91-acab-5cb7260b26a0/raw","has_download":true,"has_spatial":false,"identifier":"https://doi.org/10.48322/fwtc-3d78","keyword":["imageintensity"],"last_harvested_date":"2026-09-23T00:57:16.255015","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":"HMI-AIA.JSOC","slug":"sdo-aia-1600-angstrom-fits-data","spatial_centroid":null,"spatial_shape":null,"theme":["Heliophysics"],"title":"SDO/AIA 1600 Angstrom FITS Data","type":"dataset"},{"_score":11.559078,"_sort":[1790125035301,11.559078,1,"94354e91-d3e5-4a8b-a35d-84696a27620a"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"NASA Space Physics Data Facility","hasEmail":"mailto:NASA-SPDF-Support@nasa.onmicrosoft.com"},"description":"The SDO/AIA 1700 \u00c5 Level 1 FITS Data. The 1700 \u00c5 channel observes the continuum from the 4500 K photosphere (temperature minimum). \n\nThe Atmospheric Imaging Assembly (AIA) onboard Solar Dynamics Observatory (SDO) focuses on the evolution of the magnetic environment in the Sun\u2019s atmosphere, and its interaction with embedded and surrounding plasma. The AIA investigation covers a broad range of science objectives that focus on five core research themes that both advance solar and heliospheric physics in general and provide advanced warning of coronal and inner-heliospheric disturbances of interest to the Living With a Star (LWS) program, i.e., global change, space weather, human exploration of space, and technological infrastructure in space and on Earth.\n\nAIA provides the following essential capabilities: i) A view of the entire Sun in 4k x 4k resolution (pixel size of 0.6 arcseconds), with full thermal coverage of the corona; ii) A high signal-to-noise ratio for two- to three-second exposures that reaches 100 in quiescent conditions for the low-temperature coronal-imaging channels and during flaring in the higher-temperature channels, with a dynamic range of up to 10,000; iii) Essentially uninterrupted viewing for months at a temporal cadence of 12 seconds in seven extreme UV (EUV) band passes (94, 131, 171, 193, 211, 304 and 335 \u00c5), and 24 seconds for two UV channels (1600 and 1700 \u00c5) band passes; iv) In special observing modes, AIA can capture images of the Sun at higher cadence while keeping within the instrument allocated telemetry by using a subset of bandpass channels, and/or using a crop table.","distribution":[{"@type":"dcat:Distribution","downloadURL":"http://jsoc.stanford.edu/ajax/exportdata.html?ds=aia.lev1_uv_24s%5B2020-01-01T00%3A00%3A00%2F20m%5D%5B1700%5D","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://aia.lmsal.com/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.1007/s11207-011-9776-8","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://helio.data.nasa.gov/dataset/SDO_AIA_UV1700_PT24S","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://hpde.io/NASA/NumericalData/SDO/AIA/UV1700/PT24S","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://sdac.virtualsolar.org/cgi/search?time=1&instrument=AIA&spectrum=1&version=current&build=1","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"https://doi.org/10.48322/4k86-r913","keyword":["imageintensity"],"landingPage":"https://doi.org/10.48322/4k86-r913","license":"https://www.usa.gov/government-works","modified":"2026-09-21","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"HMI-AIA.JSOC"},"theme":["Heliophysics"],"title":"SDO/AIA 1700 Angstrom FITS Data"},"description":"The SDO/AIA 1700 \u00c5 Level 1 FITS Data. The 1700 \u00c5 channel observes the continuum from the 4500 K photosphere (temperature minimum). \n\nThe Atmospheric Imaging Assembly (AIA) onboard Solar Dynamics Observatory (SDO) focuses on the evolution of the magnetic environment in the Sun\u2019s atmosphere, and its interaction with embedded and surrounding plasma. The AIA investigation covers a broad range of science objectives that focus on five core research themes that both advance solar and heliospheric physics in general and provide advanced warning of coronal and inner-heliospheric disturbances of interest to the Living With a Star (LWS) program, i.e., global change, space weather, human exploration of space, and technological infrastructure in space and on Earth.\n\nAIA provides the following essential capabilities: i) A view of the entire Sun in 4k x 4k resolution (pixel size of 0.6 arcseconds), with full thermal coverage of the corona; ii) A high signal-to-noise ratio for two- to three-second exposures that reaches 100 in quiescent conditions for the low-temperature coronal-imaging channels and during flaring in the higher-temperature channels, with a dynamic range of up to 10,000; iii) Essentially uninterrupted viewing for months at a temporal cadence of 12 seconds in seven extreme UV (EUV) band passes (94, 131, 171, 193, 211, 304 and 335 \u00c5), and 24 seconds for two UV channels (1600 and 1700 \u00c5) band passes; iv) In special observing modes, AIA can capture images of the Sun at higher cadence while keeping within the instrument allocated telemetry by using a subset of bandpass channels, and/or using a crop table.","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/64a01edc-841a-443e-927c-b186fa2e7a38","harvest_record_raw":"https://catalog.data.gov/harvest_record/64a01edc-841a-443e-927c-b186fa2e7a38/raw","has_download":true,"has_spatial":false,"identifier":"https://doi.org/10.48322/4k86-r913","keyword":["imageintensity"],"last_harvested_date":"2026-09-23T00:57:15.301847","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":"HMI-AIA.JSOC","slug":"sdo-aia-1700-angstrom-fits-data","spatial_centroid":null,"spatial_shape":null,"theme":["Heliophysics"],"title":"SDO/AIA 1700 Angstrom FITS Data","type":"dataset"},{"_score":11.891617,"_sort":[1790125034725,11.891617,7,"b5fb2844-ceee-468c-9678-2c793dd969bd"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"NASA Space Physics Data Facility","hasEmail":"mailto:NASA-SPDF-Support@nasa.onmicrosoft.com"},"description":"The SDO/AIA 4500 \u00c5 Level 1 FITS Data. The 4500 \u00c5 channel observes the continuum from the photosphere. \n\nThe Atmospheric Imaging Assembly (AIA) onboard Solar Dynamics Observatory (SDO) focuses on the evolution of the magnetic environment in the Sun\u2019s atmosphere, and its interaction with embedded and surrounding plasma. The AIA investigation covers a broad range of science objectives that focus on five core research themes that both advance solar and heliospheric physics in general and provide advanced warning of coronal and inner-heliospheric disturbances of interest to the Living With a Star (LWS) program, i.e., global change, space weather, human exploration of space, and technological infrastructure in space and on Earth.\n\nAIA provides the following essential capabilities: i) A view of the entire Sun in 4k x 4k resolution (pixel size of 0.6 arcseconds), with full thermal coverage of the corona; ii) A high signal-to-noise ratio for two- to three-second exposures that reaches 100 in quiescent conditions for the low-temperature coronal-imaging channels and during flaring in the higher-temperature channels, with a dynamic range of up to 10,000; iii) Essentially uninterrupted viewing for months at a temporal cadence of 12 seconds in seven extreme UV (EUV) band passes (94, 131, 171, 193, 211, 304 and 335 \u00c5), and 24 seconds for two UV channels (1600 and 1700 \u00c5) band passes; iv) In special observing modes, AIA can capture images of the Sun at higher cadence while keeping within the instrument allocated telemetry by using a subset of bandpass channels, and/or using a crop table.","distribution":[{"@type":"dcat:Distribution","downloadURL":"http://jsoc.stanford.edu/ajax/exportdata.html?ds=aia.lev1_vis_1h%5B2020-01-01T00%3A00%3A00%2F24h%5D%5B4500%5D","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://aia.lmsal.com/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.1007/s11207-011-9776-8","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://helio.data.nasa.gov/dataset/SDO_AIA_VIS4500_PT60M","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://hpde.io/NASA/NumericalData/SDO/AIA/VIS4500/PT60M","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://sdac.virtualsolar.org/cgi/search?time=1&instrument=AIA&spectrum=1&version=current&build=1","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"https://doi.org/10.48322/xze3-9s15","keyword":["imageintensity"],"landingPage":"https://doi.org/10.48322/xze3-9s15","license":"https://www.usa.gov/government-works","modified":"2026-09-21","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"HMI-AIA.JSOC"},"theme":["Heliophysics"],"title":"SDO/AIA 4500 Angstrom FITS Data"},"description":"The SDO/AIA 4500 \u00c5 Level 1 FITS Data. The 4500 \u00c5 channel observes the continuum from the photosphere. \n\nThe Atmospheric Imaging Assembly (AIA) onboard Solar Dynamics Observatory (SDO) focuses on the evolution of the magnetic environment in the Sun\u2019s atmosphere, and its interaction with embedded and surrounding plasma. The AIA investigation covers a broad range of science objectives that focus on five core research themes that both advance solar and heliospheric physics in general and provide advanced warning of coronal and inner-heliospheric disturbances of interest to the Living With a Star (LWS) program, i.e., global change, space weather, human exploration of space, and technological infrastructure in space and on Earth.\n\nAIA provides the following essential capabilities: i) A view of the entire Sun in 4k x 4k resolution (pixel size of 0.6 arcseconds), with full thermal coverage of the corona; ii) A high signal-to-noise ratio for two- to three-second exposures that reaches 100 in quiescent conditions for the low-temperature coronal-imaging channels and during flaring in the higher-temperature channels, with a dynamic range of up to 10,000; iii) Essentially uninterrupted viewing for months at a temporal cadence of 12 seconds in seven extreme UV (EUV) band passes (94, 131, 171, 193, 211, 304 and 335 \u00c5), and 24 seconds for two UV channels (1600 and 1700 \u00c5) band passes; iv) In special observing modes, AIA can capture images of the Sun at higher cadence while keeping within the instrument allocated telemetry by using a subset of bandpass channels, and/or using a crop table.","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/012a6c68-624b-4144-a557-ef3b6c1eeafe","harvest_record_raw":"https://catalog.data.gov/harvest_record/012a6c68-624b-4144-a557-ef3b6c1eeafe/raw","has_download":true,"has_spatial":false,"identifier":"https://doi.org/10.48322/xze3-9s15","keyword":["imageintensity"],"last_harvested_date":"2026-09-23T00:57:14.725996","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":"HMI-AIA.JSOC","slug":"sdo-aia-4500-angstrom-fits-data","spatial_centroid":null,"spatial_shape":null,"theme":["Heliophysics"],"title":"SDO/AIA 4500 Angstrom FITS Data","type":"dataset"},{"_score":16.23452,"_sort":[1790125031709,16.23452,2,"0d976d1a-aeb1-40ab-b35d-015ec65c2c5d"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"IRSA Support","hasEmail":"mailto:irsasupport@ipac.caltech.edu"},"description":"COSMOS is an astronomical survey designed to probe the formation and evolution of galaxies as a function of cosmic time (redshift) and large scale structural environment. The survey covers a 2 square degree equatorial field with imaging by most of the major space-based telescopes (Hubble, Spitzer, GALEX, XMM, Chandra) and a number of large ground based telescopes (Subaru, VLA, ESO-VLT, UKIRT, NOAO, CFHT, and others). Over 2 million galaxies are detected, spanning 75% of the age of the universe.\\n\\nThe COSMOS Cassata Morphology Catalog includes concentration, asymmetry, gini, and M20 measurements within the Petrosian radius. The morphological parameters are combined to classify galaxies as early-types, disks and irregulars.","distribution":[{"@type":"dcat:Distribution","downloadURL":"https://irsa.ipac.caltech.edu/SCS?table=cosmos_morph_cassata_1_1&","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://irsa.ipac.caltech.edu/data/COSMOS/gator_docs/cosmos_morph_cassata_colDescriptions.html","format":"HTML","mediaType":"text/html"}],"identifier":"ivo://irsa.ipac/cosmos/catalog/cosmosmorphcas","keyword":["__"],"landingPage":"ivo://irsa.ipac/cosmos/catalog/cosmosmorphcas","license":"https://www.usa.gov/government-works","modified":"2026-09-21","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/IPAC Infrared Science Archive"},"theme":["Astrophysics"],"title":"COSMOS Cassata Morphology Catalog"},"description":"COSMOS is an astronomical survey designed to probe the formation and evolution of galaxies as a function of cosmic time (redshift) and large scale structural environment. The survey covers a 2 square degree equatorial field with imaging by most of the major space-based telescopes (Hubble, Spitzer, GALEX, XMM, Chandra) and a number of large ground based telescopes (Subaru, VLA, ESO-VLT, UKIRT, NOAO, CFHT, and others). Over 2 million galaxies are detected, spanning 75% of the age of the universe.\\n\\nThe COSMOS Cassata Morphology Catalog includes concentration, asymmetry, gini, and M20 measurements within the Petrosian radius. The morphological parameters are combined to classify galaxies as early-types, disks and irregulars.","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/276458c8-906e-41d6-90de-1857364c9561","harvest_record_raw":"https://catalog.data.gov/harvest_record/276458c8-906e-41d6-90de-1857364c9561/raw","has_download":true,"has_spatial":false,"identifier":"ivo://irsa.ipac/cosmos/catalog/cosmosmorphcas","keyword":["__"],"last_harvested_date":"2026-09-23T00:57:11.709541","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/IPAC Infrared Science Archive","slug":"cosmos-cassata-morphology-catalog","spatial_centroid":null,"spatial_shape":null,"theme":["Astrophysics"],"title":"COSMOS Cassata Morphology Catalog","type":"dataset"},{"_score":13.690327,"_sort":[1790125028711,13.690327,1,"a5196909-f325-4752-97ed-c3ee69f039f0"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"IRSA Support","hasEmail":"mailto:irsasupport@ipac.caltech.edu"},"description":"The Spitzer Wide-area InfraRed Extragalactic survey (SWIRE), the largest Spitzer Legacy program, is a wide-area, imaging survey to trace the evolution of dusty, star-forming galaxies, evolved stellar populations, and AGN as a function of environment, from redshifts z~3 to the current epoch. SWIRE surveys 6 high-latitude fields, totaling ~50 sq. deg. in all 7 Spitzer bands: 3.6, 4.5, 5.8, and 8 microns with IRAC and 24, 70, and 160 microns with MIPS (Lonsdale et al. 2003). The SWIRE Legacy Extragalactic Source Catalogs will eventually contain in excess of 2 million IR-selected galaxies, from those dominated by the light of stellar populations detected primarily by IRAC, to starbursts, ultra-luminous infrared galaxies and AGN detected also by MIPS.\\n\\nThe SWIRE Lockman Hole ISOCAM Deep Field Catalog presents MIPS 24 micron measurements of the sources detected at 14.3 micron in the Lockman Hole Deep Survey by ISO. For more details on the Lockman Hole ISOCAM Deep Survey, see Rodighiero et al. (2004).","distribution":[{"@type":"dcat:Distribution","downloadURL":"https://irsa.ipac.caltech.edu/SCS?table=swire_lhisod&","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://irsa.ipac.caltech.edu/data/SPITZER/SWIRE/docs/swire_lh_isocam_deep_colDescriptions.html","format":"HTML","mediaType":"text/html"}],"identifier":"ivo://irsa.ipac/spitzer/catalog/swire/swire-lhisodeep","keyword":["__"],"landingPage":"ivo://irsa.ipac/spitzer/catalog/swire/swire-lhisodeep","license":"https://www.usa.gov/government-works","modified":"2026-09-21","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/IPAC Infrared Science Archive"},"theme":["Astrophysics"],"title":"Spitzer Wide-area InfraRed Extragalactic Survey Lockman Hole ISOCAM Deep Field MIPS 24 micron Catalog"},"description":"The Spitzer Wide-area InfraRed Extragalactic survey (SWIRE), the largest Spitzer Legacy program, is a wide-area, imaging survey to trace the evolution of dusty, star-forming galaxies, evolved stellar populations, and AGN as a function of environment, from redshifts z~3 to the current epoch. SWIRE surveys 6 high-latitude fields, totaling ~50 sq. deg. in all 7 Spitzer bands: 3.6, 4.5, 5.8, and 8 microns with IRAC and 24, 70, and 160 microns with MIPS (Lonsdale et al. 2003). The SWIRE Legacy Extragalactic Source Catalogs will eventually contain in excess of 2 million IR-selected galaxies, from those dominated by the light of stellar populations detected primarily by IRAC, to starbursts, ultra-luminous infrared galaxies and AGN detected also by MIPS.\\n\\nThe SWIRE Lockman Hole ISOCAM Deep Field Catalog presents MIPS 24 micron measurements of the sources detected at 14.3 micron in the Lockman Hole Deep Survey by ISO. For more details on the Lockman Hole ISOCAM Deep Survey, see Rodighiero et al. (2004).","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/306eac17-7c5b-4043-b8b1-a38ef930f9eb","harvest_record_raw":"https://catalog.data.gov/harvest_record/306eac17-7c5b-4043-b8b1-a38ef930f9eb/raw","has_download":true,"has_spatial":false,"identifier":"ivo://irsa.ipac/spitzer/catalog/swire/swire-lhisodeep","keyword":["__"],"last_harvested_date":"2026-09-23T00:57:08.711006","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/IPAC Infrared Science Archive","slug":"spitzer-wide-area-infrared-extragalactic-survey-lockman-hole-isocam-deep-field-mips-24-mic","spatial_centroid":null,"spatial_shape":null,"theme":["Astrophysics"],"title":"Spitzer Wide-area InfraRed Extragalactic Survey Lockman Hole ISOCAM Deep Field MIPS 24 micron Catalog","type":"dataset"},{"_score":5.3602448,"_sort":[1790125010573,5.3602448,3,"c52ab6f7-5cb7-49e6-b596-bf6a29c0830e"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"NASA Space Physics Data Facility","hasEmail":"mailto:NASA-SPDF-Support@nasa.onmicrosoft.com"},"description":"Geographic and Magnetic Coordinates: The ephemeris data products, which include the balloon epoch time, latitude, longitude, and altitude, are each returned from the payload once every 4s. Geographic coordinates are obtained from an onboard Global Positioning System, GPS, unit. Magnetic coordinates are derived by using the International Radiation Belt Environment Modeling, IRBEM, FORTRAN library.\n\nThe BARREL Mission was a multiple-balloon investigation designed to study electron losses from Earth's Radiation Belts. Selected as a NASA Living with a Star Mission of Opportunity, BARREL was designed to augment the Radiation Belt Storm Probes, RBSP, mission by providing measurements of the spatial and temporal variations of electron precipitation from the radiation belts. The RBSP mission has since been renamed the Van Allen Probes mission. Each BARREL balloon carried an X-ray spectrometer to measure the bremsstrahlung X-rays produced by precipitating relativistic electrons as they collide with neutrals in the atmosphere, and a DC magnetometer to measure ULF-timescale variations of the magnetic field. BARREL observations collected near latitudes close to either the antarctic and arctic circles at stratospheric altitudes at about 30 km. The BARREL instrumentation provided the first balloon measurements of relativistic electron precipitation while comprehensive in situ measurements of both plasma waves and energetic particles were available. Also, the BARREL data has been used to characterize the spatial scale of precipitation at relativistic energies.\n\nThe initial pair of balloon campaigns that were conducted initially during the Austral summer months of January and February of 2013 and 2014 with launches from two stations located in Antarctica: the British base located at Halley Bay on the Brunt Ice Shelf and the South African SANAE IV base (SANAE stand for South African National Antarctic Expedition) located in Vesleskarvet, Queen Maud Land. For the 2013 and 2014 the balloon campaigns, the launch plan was designed to maintain an array with about five payloads spread across about six hours of magnetic local time, MLT, in the region that magnetically maps to the radiation belts. Thus, the BARREL balloon constellation constituted an evolving and slowly moving array able to study relativistic electron precipitation from the radiation belts.\n\nLater campaigns were undertaken in 2015 and 2016 from the Esrange Space Center located in Kiruna, Sweden. The 2015 and 2016 campaigns were undertaken in coordination with the Van Allen Probes mission, the European Incoherent Scatter Scientific Association, EISCAT, incoherent scatter radar system, and other ground and space based instruments. Seven balloon launches occurred during the August 2015 BARREL campaign. A total of eight flights occurred during August 2016.\n\nSumming over the four BARREL campaigns, over 50 small, approximately 20 kg, stratospheric balloons were successively launched. The website creeated and hosted by A.J. Halford (see Information URL below) reports that: \"By the end of the campaigns, there were over 90 researchers coordinating on a daily basis with the BARREL team working on 7 different satellite missions, 1 other balloon mission, and way too many ground based instruments to count.\" Although the BARREL mission launched only balloons during the years from 2013 to 2016, research using data collected on these flights is ongoing, so stay tuned for updates! All data and analysis software are freely available to the scientific community.\n\nThe information listed above in this resource description was compiled by referencing several BARREL related resources including primarily the Millan et al. (2013) Space Science Reviews publication, the BARREL at Dartmouth mission web site, and the website maintained by A.J. Halford.\n\nThe current release of all BARREL CDF data products are Version 10 files.\n\nBARREL will make all its scientific data products quickly and publicly available but all users are expected to read and follow the BARREL Data Usage Policy listed below.\n\nBARREL Data Usage Policy\n\nBARREL data products are made freely available to the public and every effort is made to ensure that these products are of the highest quality. However, there may occasionally be issues with either the instruments or data processing that affect the accuracy of data. When possible, a quality flag is included in higher level data products, and known issues are posted in the BARREL data repository. You are also strongly encouraged to follow the guidelines below if you are planning a publication or presentation in which BARREL data are used. This will help you ensure that your science results are valid.\n\n* Users should always use the highest version numbers of data and analysis tools. Browse/quick-look plots are not intended for science analysis or publication and should not be used for those purposes without consent of the principal investigator, PI.\n* Users should notify the BARREL PI of the data use and investigation objectives. This will ensure that you are using the data appropriately and have the most recent version of the data or analysis routines. Additionally, if a BARREL team member is already working on a similar or related topic, they may be able to contribute intellectually.\n* If BARREL team members are not part of the author list, then users should Credit/Acknowledge the BARREL team as follows: We acknowledge the BARREL team (PI: Robyn Millan) for use of BARREL data.\n* Users are also requested to provide the PI with a copy of each manuscript that uses BARREL data upon submission of that manuscript for consideration of publication. On publication, the citation should be transmitted to the PI.\n\nThe BARREL PI can be contacted at: Robyn.Millan@dartmouth.edu.\n\nAn online copy of the BARREL Data Usage Policy document can be found at: https://barrel.rmillan.host.dartmouth.edu/documents/data.use.policy.pdf.","distribution":[{"@type":"dcat:Distribution","downloadURL":"ftps://spdf.gsfc.nasa.gov/pub/data/barrel/l2/3a/ephem/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"http://relativisticballoons.blogspot.com","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://alexahalford.weebly.com/barrel-2013---2016.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://barrel.rmillan.host.dartmouth.edu/documents/data.use.policy.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://barrel.rmillan.host.dartmouth.edu/index.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://cdaweb.gsfc.nasa.gov/cgi-bin/eval2.cgi?dataset=BAR_3A_L2_EPHM&index=sp_phys","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://cdaweb.gsfc.nasa.gov/pub/data/barrel/Campaigns_and_launches.txt","format":"TXT","mediaType":"text/plain"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.1007/s11214-013-9971-z","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://github.com/PRBEM/IRBEM","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://helio.data.nasa.gov/dataset/BARREL_3A_Ephemeris_L2_PT4S","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://hpde.io/NASA/NumericalData/BARREL/3A/Ephemeris/L2/PT4S","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://prbem.github.io/IRBEM/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://spdf.gsfc.nasa.gov/pub/data/barrel/l2/3a/ephem/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.nasa.gov/mission-pages/rbsp/barrel/","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"https://doi.org/10.48322/rf94-w711","keyword":["ephemeris","instrumentstatus"],"landingPage":"https://doi.org/10.48322/rf94-w711","license":"https://www.usa.gov/government-works","modified":"2026-09-21","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"SPDF"},"theme":["Heliophysics"],"title":"BARREL 3A Ephemeris (EPHM) Geographic and Magnetic Coordinates, Level 2, 4 s Data"},"description":"Geographic and Magnetic Coordinates: The ephemeris data products, which include the balloon epoch time, latitude, longitude, and altitude, are each returned from the payload once every 4s. Geographic coordinates are obtained from an onboard Global Positioning System, GPS, unit. Magnetic coordinates are derived by using the International Radiation Belt Environment Modeling, IRBEM, FORTRAN library.\n\nThe BARREL Mission was a multiple-balloon investigation designed to study electron losses from Earth's Radiation Belts. Selected as a NASA Living with a Star Mission of Opportunity, BARREL was designed to augment the Radiation Belt Storm Probes, RBSP, mission by providing measurements of the spatial and temporal variations of electron precipitation from the radiation belts. The RBSP mission has since been renamed the Van Allen Probes mission. Each BARREL balloon carried an X-ray spectrometer to measure the bremsstrahlung X-rays produced by precipitating relativistic electrons as they collide with neutrals in the atmosphere, and a DC magnetometer to measure ULF-timescale variations of the magnetic field. BARREL observations collected near latitudes close to either the antarctic and arctic circles at stratospheric altitudes at about 30 km. The BARREL instrumentation provided the first balloon measurements of relativistic electron precipitation while comprehensive in situ measurements of both plasma waves and energetic particles were available. Also, the BARREL data has been used to characterize the spatial scale of precipitation at relativistic energies.\n\nThe initial pair of balloon campaigns that were conducted initially during the Austral summer months of January and February of 2013 and 2014 with launches from two stations located in Antarctica: the British base located at Halley Bay on the Brunt Ice Shelf and the South African SANAE IV base (SANAE stand for South African National Antarctic Expedition) located in Vesleskarvet, Queen Maud Land. For the 2013 and 2014 the balloon campaigns, the launch plan was designed to maintain an array with about five payloads spread across about six hours of magnetic local time, MLT, in the region that magnetically maps to the radiation belts. Thus, the BARREL balloon constellation constituted an evolving and slowly moving array able to study relativistic electron precipitation from the radiation belts.\n\nLater campaigns were undertaken in 2015 and 2016 from the Esrange Space Center located in Kiruna, Sweden. The 2015 and 2016 campaigns were undertaken in coordination with the Van Allen Probes mission, the European Incoherent Scatter Scientific Association, EISCAT, incoherent scatter radar system, and other ground and space based instruments. Seven balloon launches occurred during the August 2015 BARREL campaign. A total of eight flights occurred during August 2016.\n\nSumming over the four BARREL campaigns, over 50 small, approximately 20 kg, stratospheric balloons were successively launched. The website creeated and hosted by A.J. Halford (see Information URL below) reports that: \"By the end of the campaigns, there were over 90 researchers coordinating on a daily basis with the BARREL team working on 7 different satellite missions, 1 other balloon mission, and way too many ground based instruments to count.\" Although the BARREL mission launched only balloons during the years from 2013 to 2016, research using data collected on these flights is ongoing, so stay tuned for updates! All data and analysis software are freely available to the scientific community.\n\nThe information listed above in this resource description was compiled by referencing several BARREL related resources including primarily the Millan et al. (2013) Space Science Reviews publication, the BARREL at Dartmouth mission web site, and the website maintained by A.J. Halford.\n\nThe current release of all BARREL CDF data products are Version 10 files.\n\nBARREL will make all its scientific data products quickly and publicly available but all users are expected to read and follow the BARREL Data Usage Policy listed below.\n\nBARREL Data Usage Policy\n\nBARREL data products are made freely available to the public and every effort is made to ensure that these products are of the highest quality. However, there may occasionally be issues with either the instruments or data processing that affect the accuracy of data. When possible, a quality flag is included in higher level data products, and known issues are posted in the BARREL data repository. You are also strongly encouraged to follow the guidelines below if you are planning a publication or presentation in which BARREL data are used. This will help you ensure that your science results are valid.\n\n* Users should always use the highest version numbers of data and analysis tools. Browse/quick-look plots are not intended for science analysis or publication and should not be used for those purposes without consent of the principal investigator, PI.\n* Users should notify the BARREL PI of the data use and investigation objectives. This will ensure that you are using the data appropriately and have the most recent version of the data or analysis routines. Additionally, if a BARREL team member is already working on a similar or related topic, they may be able to contribute intellectually.\n* If BARREL team members are not part of the author list, then users should Credit/Acknowledge the BARREL team as follows: We acknowledge the BARREL team (PI: Robyn Millan) for use of BARREL data.\n* Users are also requested to provide the PI with a copy of each manuscript that uses BARREL data upon submission of that manuscript for consideration of publication. On publication, the citation should be transmitted to the PI.\n\nThe BARREL PI can be contacted at: Robyn.Millan@dartmouth.edu.\n\nAn online copy of the BARREL Data Usage Policy document can be found at: https://barrel.rmillan.host.dartmouth.edu/documents/data.use.policy.pdf.","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/d10e4f41-c3a2-4e3b-bf43-c149c6576025","harvest_record_raw":"https://catalog.data.gov/harvest_record/d10e4f41-c3a2-4e3b-bf43-c149c6576025/raw","has_download":true,"has_spatial":false,"identifier":"https://doi.org/10.48322/rf94-w711","keyword":["ephemeris","instrumentstatus"],"last_harvested_date":"2026-09-23T00:56:50.573927","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":"SPDF","slug":"barrel-3a-ephemeris-ephm-geographic-and-magnetic-coordinates-level-2-4-s-data","spatial_centroid":null,"spatial_shape":null,"theme":["Heliophysics"],"title":"BARREL 3A Ephemeris (EPHM) Geographic and Magnetic Coordinates, Level 2, 4 s Data","type":"dataset"},{"_score":13.385963,"_sort":[1790125008017,13.385963,2,"335efba1-ae3c-4b30-8486-681b3d98477d"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"IRSA Support","hasEmail":"mailto:irsasupport@ipac.caltech.edu"},"description":"The Spitzer Wide-area InfraRed Extragalactic survey (SWIRE), the largest Spitzer Legacy program, is a wide-area, imaging survey to trace the evolution of dusty, star-forming galaxies, evolved stellar populations, and AGN as a function of environment, from redshifts z~3 to the current epoch. SWIRE surveys 6 high-latitude fields, totaling ~50 sq. deg. in all 7 Spitzer bands: 3.6, 4.5, 5.8, and 8 microns with IRAC and 24, 70, and 160 microns with MIPS (Lonsdale et al. 2003). The SWIRE Legacy Extragalactic Source Catalogs will eventually contain in excess of 2 million IR-selected galaxies, from those dominated by the light of stellar populations detected primarily by IRAC, to starbursts, ultra-luminous infrared galaxies and AGN detected also by MIPS.\\n\\nThe main SWIRE catalogs for 24 micron data are the Optical-IRAC-MIPS24 bandmerged catalogs. The bandmerged catalogs require a detection in the shortest IRAC band (3.6 microns). The SWIRE project has produced single-band 24 micron catalogs to cover regions that lie outside the IRAC images, and to include sources that for some reason were not associated with a 3.6 micron detection.","distribution":[{"@type":"dcat:Distribution","downloadURL":"https://irsa.ipac.caltech.edu/SCS?table=elaisn1_cat_s05&","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://irsa.ipac.caltech.edu/data/SPITZER/SWIRE/SWIRE_EN1_columns.html","format":"HTML","mediaType":"text/html"}],"identifier":"ivo://irsa.ipac/spitzer/catalog/swire/swire-en1","keyword":["__"],"landingPage":"ivo://irsa.ipac/spitzer/catalog/swire/swire-en1","license":"https://www.usa.gov/government-works","modified":"2026-09-21","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/IPAC Infrared Science Archive"},"theme":["Astrophysics"],"title":"Spitzer Wide-area InfraRed Extragalactic Survey ELAIS-N1 Optical-IRAC-MIPS24 Catalog"},"description":"The Spitzer Wide-area InfraRed Extragalactic survey (SWIRE), the largest Spitzer Legacy program, is a wide-area, imaging survey to trace the evolution of dusty, star-forming galaxies, evolved stellar populations, and AGN as a function of environment, from redshifts z~3 to the current epoch. SWIRE surveys 6 high-latitude fields, totaling ~50 sq. deg. in all 7 Spitzer bands: 3.6, 4.5, 5.8, and 8 microns with IRAC and 24, 70, and 160 microns with MIPS (Lonsdale et al. 2003). The SWIRE Legacy Extragalactic Source Catalogs will eventually contain in excess of 2 million IR-selected galaxies, from those dominated by the light of stellar populations detected primarily by IRAC, to starbursts, ultra-luminous infrared galaxies and AGN detected also by MIPS.\\n\\nThe main SWIRE catalogs for 24 micron data are the Optical-IRAC-MIPS24 bandmerged catalogs. The bandmerged catalogs require a detection in the shortest IRAC band (3.6 microns). The SWIRE project has produced single-band 24 micron catalogs to cover regions that lie outside the IRAC images, and to include sources that for some reason were not associated with a 3.6 micron detection.","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/b75e1927-b24c-4d36-a54e-c07b05bfd8fb","harvest_record_raw":"https://catalog.data.gov/harvest_record/b75e1927-b24c-4d36-a54e-c07b05bfd8fb/raw","has_download":true,"has_spatial":false,"identifier":"ivo://irsa.ipac/spitzer/catalog/swire/swire-en1","keyword":["__"],"last_harvested_date":"2026-09-23T00:56:48.017654","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/IPAC Infrared Science Archive","slug":"spitzer-wide-area-infrared-extragalactic-survey-elais-n1-optical-irac-mips24-catalog","spatial_centroid":null,"spatial_shape":null,"theme":["Astrophysics"],"title":"Spitzer Wide-area InfraRed Extragalactic Survey ELAIS-N1 Optical-IRAC-MIPS24 Catalog","type":"dataset"},{"_score":18.005146,"_sort":[1790125006483,18.005146,4,"a9172cd3-adf4-4a44-a056-ff10a2a9fb5c"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"IRSA Support","hasEmail":"mailto:irsasupport@ipac.caltech.edu"},"description":"COSMOS is an astronomical survey designed to probe the formation and evolution of galaxies as a function of cosmic time (redshift) and large scale structural environment. The survey covers a 2 square degree equatorial field with imaging by most of the major space-based telescopes (Hubble, Spitzer, GALEX, XMM, Chandra) and a number of large ground based telescopes (Subaru, VLA, ESO-VLT, UKIRT, NOAO, CFHT, and others). Over 2 million galaxies are detected, spanning 75% of the age of the universe.","distribution":[{"@type":"dcat:Distribution","downloadURL":"https://irsa.ipac.caltech.edu/SCS?table=cosmos_ib_phot&","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://irsa.ipac.caltech.edu/data/COSMOS/gator_docs/cosmos_ib_colDescriptions.html","format":"HTML","mediaType":"text/html"}],"identifier":"ivo://irsa.ipac/cosmos/catalog/cosmos-ibphot","keyword":["__"],"landingPage":"ivo://irsa.ipac/cosmos/catalog/cosmos-ibphot","license":"https://www.usa.gov/government-works","modified":"2026-09-21","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/IPAC Infrared Science Archive"},"theme":["Astrophysics"],"title":"COSMOS Intermediate and Broad Band Photometry Catalog"},"description":"COSMOS is an astronomical survey designed to probe the formation and evolution of galaxies as a function of cosmic time (redshift) and large scale structural environment. The survey covers a 2 square degree equatorial field with imaging by most of the major space-based telescopes (Hubble, Spitzer, GALEX, XMM, Chandra) and a number of large ground based telescopes (Subaru, VLA, ESO-VLT, UKIRT, NOAO, CFHT, and others). Over 2 million galaxies are detected, spanning 75% of the age of the universe.","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/96841979-066a-4909-bbe3-bd96bea812a3","harvest_record_raw":"https://catalog.data.gov/harvest_record/96841979-066a-4909-bbe3-bd96bea812a3/raw","has_download":true,"has_spatial":false,"identifier":"ivo://irsa.ipac/cosmos/catalog/cosmos-ibphot","keyword":["__"],"last_harvested_date":"2026-09-23T00:56:46.483465","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/IPAC Infrared Science Archive","slug":"cosmos-intermediate-and-broad-band-photometry-catalog","spatial_centroid":null,"spatial_shape":null,"theme":["Astrophysics"],"title":"COSMOS Intermediate and Broad Band Photometry Catalog","type":"dataset"},{"_score":10.614813,"_sort":[1790125006093,10.614813,2,"5e397aa3-43a4-48b5-bbc6-2cbbf4729c14"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"HEASARC Help Desk","hasEmail":"mailto:andrew.ptak@nasa.gov"},"description":"The Westerbork Radio Synthesis Telescope (WSRT) has been used in 2004 to make a deep radio survey of an ~1.7 degree<sup>2</sup> field coinciding with the AKARI north ecliptic pole (NEP) deep field. The WSRT survey consisted of 10 pointings, mosaiced with enough overlap to maintain a similar sensitivity across the central region that reached as low as 21 microJanskies/beam (µJy/beam) at 1.4 GHz. The observations, data reduction and source count analysis are presented in the reference paper, along with a description of the overall scientific objectives. A catalog containing 462 sources detected with a resolution of 17.0 arcsecs by 15.5 arcsecs is presented. The differential source counts calculated from the WSRT data have been compared with those from the shallow VLA-NEP survey of Kollgaard et al. (1994, ApJS, 93, 145), and show a pronounced excess for sources fainter than ~1 mJy, consistent with the presence of a population of star-forming galaxies at sub-mJy flux levels. The AKARI NEP deep field is the focus of a major observing campaign conducted across the entire spectral region. The combination of these data sets, along with the deep nature of the radio observations will allow unique studies of a large range of topics including the redshift evolution of the luminosity function of radio sources, the clustering environment of radio galaxies, the nature of obscured radio-loud active galactic nuclei, and the radio/far-infrared correlation for distant galaxies. This catalog provides the basic data set for a future series of paper dealing with source identifications, morphologies, and the associated properties of the identified radio sources. This table was created by the HEASARC in March 2011 based on <a href=\"https://cdsarc.cds.unistra.fr/ftp/cats/J/A+A/517/A54\">CDS catalog J/A+A/517/A54</a> file table2.dat. This is a service provided by NASA HEASARC .","distribution":[{"@type":"dcat:Distribution","downloadURL":"https://heasarc.gsfc.nasa.gov/W3Browse/all/wsrt20anep.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://heasarc.gsfc.nasa.gov/xamin/vo/cone?showoffsets&table=wsrt20anep&","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"ivo://nasa.heasarc/wsrt20anep","keyword":["__"],"landingPage":"ivo://nasa.heasarc/wsrt20anep","license":"https://www.usa.gov/government-works","modified":"2026-09-21","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"High Energy Astrophysics Science Archive Research Center"},"theme":["Astrophysics"],"title":"AKARI NEP WSRT 20-cm Source Catalog"},"description":"The Westerbork Radio Synthesis Telescope (WSRT) has been used in 2004 to make a deep radio survey of an ~1.7 degree<sup>2</sup> field coinciding with the AKARI north ecliptic pole (NEP) deep field. The WSRT survey consisted of 10 pointings, mosaiced with enough overlap to maintain a similar sensitivity across the central region that reached as low as 21 microJanskies/beam (µJy/beam) at 1.4 GHz. The observations, data reduction and source count analysis are presented in the reference paper, along with a description of the overall scientific objectives. A catalog containing 462 sources detected with a resolution of 17.0 arcsecs by 15.5 arcsecs is presented. The differential source counts calculated from the WSRT data have been compared with those from the shallow VLA-NEP survey of Kollgaard et al. (1994, ApJS, 93, 145), and show a pronounced excess for sources fainter than ~1 mJy, consistent with the presence of a population of star-forming galaxies at sub-mJy flux levels. The AKARI NEP deep field is the focus of a major observing campaign conducted across the entire spectral region. The combination of these data sets, along with the deep nature of the radio observations will allow unique studies of a large range of topics including the redshift evolution of the luminosity function of radio sources, the clustering environment of radio galaxies, the nature of obscured radio-loud active galactic nuclei, and the radio/far-infrared correlation for distant galaxies. This catalog provides the basic data set for a future series of paper dealing with source identifications, morphologies, and the associated properties of the identified radio sources. This table was created by the HEASARC in March 2011 based on <a href=\"https://cdsarc.cds.unistra.fr/ftp/cats/J/A+A/517/A54\">CDS catalog J/A+A/517/A54</a> file table2.dat. This is a service provided by NASA HEASARC .","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/9abcab83-2d39-42c1-883d-06b9f974f5b9","harvest_record_raw":"https://catalog.data.gov/harvest_record/9abcab83-2d39-42c1-883d-06b9f974f5b9/raw","has_download":true,"has_spatial":false,"identifier":"ivo://nasa.heasarc/wsrt20anep","keyword":["__"],"last_harvested_date":"2026-09-23T00:56:46.093389","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":"High Energy Astrophysics Science Archive Research Center","slug":"akari-nep-wsrt-20-cm-source-catalog","spatial_centroid":null,"spatial_shape":null,"theme":["Astrophysics"],"title":"AKARI NEP WSRT 20-cm Source Catalog","type":"dataset"},{"_score":5.257498,"_sort":[1790124998618,5.257498,1,"2459ec5f-f08f-4189-a935-4e6763c79b67"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"NASA Space Physics Data Facility","hasEmail":"mailto:NASA-SPDF-Support@nasa.onmicrosoft.com"},"description":"Geographic and Magnetic Coordinates: The ephemeris data products, which include the balloon epoch time, latitude, longitude, and altitude, are each returned from the payload once every 4s. Geographic coordinates are obtained from an onboard Global Positioning System, GPS, unit. Magnetic coordinates are derived by using the International Radiation Belt Environment Modeling, IRBEM, FORTRAN library.\n\nThe BARREL Mission was a multiple-balloon investigation designed to study electron losses from Earth's Radiation Belts. Selected as a NASA Living with a Star Mission of Opportunity, BARREL was designed to augment the Radiation Belt Storm Probes, RBSP, mission by providing measurements of the spatial and temporal variations of electron precipitation from the radiation belts. The RBSP mission has since been renamed the Van Allen Probes mission. Each BARREL balloon carried an X-ray spectrometer to measure the bremsstrahlung X-rays produced by precipitating relativistic electrons as they collide with neutrals in the atmosphere, and a DC magnetometer to measure ULF-timescale variations of the magnetic field. BARREL observations collected near latitudes close to either the antarctic and arctic circles at stratospheric altitudes at about 30 km. The BARREL instrumentation provided the first balloon measurements of relativistic electron precipitation while comprehensive in situ measurements of both plasma waves and energetic particles were available. Also, the BARREL data has been used to characterize the spatial scale of precipitation at relativistic energies.\n\nThe initial pair of balloon campaigns that were conducted initially during the Austral summer months of January and February of 2013 and 2014 with launches from two stations located in Antarctica: the British base located at Halley Bay on the Brunt Ice Shelf and the South African SANAE IV base (SANAE stand for South African National Antarctic Expedition) located in Vesleskarvet, Queen Maud Land. For the 2013 and 2014 the balloon campaigns, the launch plan was designed to maintain an array with about five payloads spread across about six hours of magnetic local time, MLT, in the region that magnetically maps to the radiation belts. Thus, the BARREL balloon constellation constituted an evolving and slowly moving array able to study relativistic electron precipitation from the radiation belts.\n\nLater campaigns were undertaken in 2015 and 2016 from the Esrange Space Center located in Kiruna, Sweden. The 2015 and 2016 campaigns were undertaken in coordination with the Van Allen Probes mission, the European Incoherent Scatter Scientific Association, EISCAT, incoherent scatter radar system, and other ground and space based instruments. Seven balloon launches occurred during the August 2015 BARREL campaign. A total of eight flights occurred during August 2016.\n\nSumming over the four BARREL campaigns, over 50 small, approximately 20 kg, stratospheric balloons were successively launched. The website creeated and hosted by A.J. Halford (see Information URL below) reports that: \"By the end of the campaigns, there were over 90 researchers coordinating on a daily basis with the BARREL team working on 7 different satellite missions, 1 other balloon mission, and way too many ground based instruments to count.\" Although the BARREL mission launched only balloons during the years from 2013 to 2016, research using data collected on these flights is ongoing, so stay tuned for updates! All data and analysis software are freely available to the scientific community.\n\nThe information listed above in this resource description was compiled by referencing several BARREL related resources including primarily the Millan et al. (2013) Space Science Reviews publication, the BARREL at Dartmouth mission web site, and the website maintained by A.J. Halford.\n\nThe current release of all BARREL CDF data products are Version 10 files.\n\nBARREL will make all its scientific data products quickly and publicly available but all users are expected to read and follow the BARREL Data Usage Policy listed below.\n\nBARREL Data Usage Policy\n\nBARREL data products are made freely available to the public and every effort is made to ensure that these products are of the highest quality. However, there may occasionally be issues with either the instruments or data processing that affect the accuracy of data. When possible, a quality flag is included in higher level data products, and known issues are posted in the BARREL data repository. You are also strongly encouraged to follow the guidelines below if you are planning a publication or presentation in which BARREL data are used. This will help you ensure that your science results are valid.\n\n* Users should always use the highest version numbers of data and analysis tools. Browse/quick-look plots are not intended for science analysis or publication and should not be used for those purposes without consent of the principal investigator, PI.\n* Users should notify the BARREL PI of the data use and investigation objectives. This will ensure that you are using the data appropriately and have the most recent version of the data or analysis routines. Additionally, if a BARREL team member is already working on a similar or related topic, they may be able to contribute intellectually.\n* If BARREL team members are not part of the author list, then users should Credit/Acknowledge the BARREL team as follows: We acknowledge the BARREL team (PI: Robyn Millan) for use of BARREL data.\n* Users are also requested to provide the PI with a copy of each manuscript that uses BARREL data upon submission of that manuscript for consideration of publication. On publication, the citation should be transmitted to the PI.\n\nThe BARREL PI can be contacted at: Robyn.Millan@dartmouth.edu.\n\nAn online copy of the BARREL Data Usage Policy document can be found at: https://barrel.rmillan.host.dartmouth.edu/documents/data.use.policy.pdf.","distribution":[{"@type":"dcat:Distribution","downloadURL":"ftps://spdf.gsfc.nasa.gov/pub/data/barrel/l2/3c/ephem/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"http://relativisticballoons.blogspot.com","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://alexahalford.weebly.com/barrel-2013---2016.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://barrel.rmillan.host.dartmouth.edu/documents/data.use.policy.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://barrel.rmillan.host.dartmouth.edu/index.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://cdaweb.gsfc.nasa.gov/cgi-bin/eval2.cgi?dataset=BAR_3C_L2_EPHM&index=sp_phys","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://cdaweb.gsfc.nasa.gov/pub/data/barrel/Campaigns_and_launches.txt","format":"TXT","mediaType":"text/plain"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.1007/s11214-013-9971-z","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://github.com/PRBEM/IRBEM","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://helio.data.nasa.gov/dataset/BARREL_3C_Ephemeris_L2_PT4S","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://hpde.io/NASA/NumericalData/BARREL/3C/Ephemeris/L2/PT4S","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://prbem.github.io/IRBEM/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://spdf.gsfc.nasa.gov/pub/data/barrel/l2/3c/ephem/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.nasa.gov/mission-pages/rbsp/barrel/","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"https://doi.org/10.48322/1fk8-z856","keyword":["ephemeris","instrumentstatus"],"landingPage":"https://doi.org/10.48322/1fk8-z856","license":"https://www.usa.gov/government-works","modified":"2026-09-21","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"SPDF"},"theme":["Heliophysics"],"title":"BARREL 3C Ephemeris (EPHM) Geographic and Magnetic Coordinates, Level 2, 4 s Data"},"description":"Geographic and Magnetic Coordinates: The ephemeris data products, which include the balloon epoch time, latitude, longitude, and altitude, are each returned from the payload once every 4s. Geographic coordinates are obtained from an onboard Global Positioning System, GPS, unit. Magnetic coordinates are derived by using the International Radiation Belt Environment Modeling, IRBEM, FORTRAN library.\n\nThe BARREL Mission was a multiple-balloon investigation designed to study electron losses from Earth's Radiation Belts. Selected as a NASA Living with a Star Mission of Opportunity, BARREL was designed to augment the Radiation Belt Storm Probes, RBSP, mission by providing measurements of the spatial and temporal variations of electron precipitation from the radiation belts. The RBSP mission has since been renamed the Van Allen Probes mission. Each BARREL balloon carried an X-ray spectrometer to measure the bremsstrahlung X-rays produced by precipitating relativistic electrons as they collide with neutrals in the atmosphere, and a DC magnetometer to measure ULF-timescale variations of the magnetic field. BARREL observations collected near latitudes close to either the antarctic and arctic circles at stratospheric altitudes at about 30 km. The BARREL instrumentation provided the first balloon measurements of relativistic electron precipitation while comprehensive in situ measurements of both plasma waves and energetic particles were available. Also, the BARREL data has been used to characterize the spatial scale of precipitation at relativistic energies.\n\nThe initial pair of balloon campaigns that were conducted initially during the Austral summer months of January and February of 2013 and 2014 with launches from two stations located in Antarctica: the British base located at Halley Bay on the Brunt Ice Shelf and the South African SANAE IV base (SANAE stand for South African National Antarctic Expedition) located in Vesleskarvet, Queen Maud Land. For the 2013 and 2014 the balloon campaigns, the launch plan was designed to maintain an array with about five payloads spread across about six hours of magnetic local time, MLT, in the region that magnetically maps to the radiation belts. Thus, the BARREL balloon constellation constituted an evolving and slowly moving array able to study relativistic electron precipitation from the radiation belts.\n\nLater campaigns were undertaken in 2015 and 2016 from the Esrange Space Center located in Kiruna, Sweden. The 2015 and 2016 campaigns were undertaken in coordination with the Van Allen Probes mission, the European Incoherent Scatter Scientific Association, EISCAT, incoherent scatter radar system, and other ground and space based instruments. Seven balloon launches occurred during the August 2015 BARREL campaign. A total of eight flights occurred during August 2016.\n\nSumming over the four BARREL campaigns, over 50 small, approximately 20 kg, stratospheric balloons were successively launched. The website creeated and hosted by A.J. Halford (see Information URL below) reports that: \"By the end of the campaigns, there were over 90 researchers coordinating on a daily basis with the BARREL team working on 7 different satellite missions, 1 other balloon mission, and way too many ground based instruments to count.\" Although the BARREL mission launched only balloons during the years from 2013 to 2016, research using data collected on these flights is ongoing, so stay tuned for updates! All data and analysis software are freely available to the scientific community.\n\nThe information listed above in this resource description was compiled by referencing several BARREL related resources including primarily the Millan et al. (2013) Space Science Reviews publication, the BARREL at Dartmouth mission web site, and the website maintained by A.J. Halford.\n\nThe current release of all BARREL CDF data products are Version 10 files.\n\nBARREL will make all its scientific data products quickly and publicly available but all users are expected to read and follow the BARREL Data Usage Policy listed below.\n\nBARREL Data Usage Policy\n\nBARREL data products are made freely available to the public and every effort is made to ensure that these products are of the highest quality. However, there may occasionally be issues with either the instruments or data processing that affect the accuracy of data. When possible, a quality flag is included in higher level data products, and known issues are posted in the BARREL data repository. You are also strongly encouraged to follow the guidelines below if you are planning a publication or presentation in which BARREL data are used. This will help you ensure that your science results are valid.\n\n* Users should always use the highest version numbers of data and analysis tools. Browse/quick-look plots are not intended for science analysis or publication and should not be used for those purposes without consent of the principal investigator, PI.\n* Users should notify the BARREL PI of the data use and investigation objectives. This will ensure that you are using the data appropriately and have the most recent version of the data or analysis routines. Additionally, if a BARREL team member is already working on a similar or related topic, they may be able to contribute intellectually.\n* If BARREL team members are not part of the author list, then users should Credit/Acknowledge the BARREL team as follows: We acknowledge the BARREL team (PI: Robyn Millan) for use of BARREL data.\n* Users are also requested to provide the PI with a copy of each manuscript that uses BARREL data upon submission of that manuscript for consideration of publication. On publication, the citation should be transmitted to the PI.\n\nThe BARREL PI can be contacted at: Robyn.Millan@dartmouth.edu.\n\nAn online copy of the BARREL Data Usage Policy document can be found at: https://barrel.rmillan.host.dartmouth.edu/documents/data.use.policy.pdf.","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/8b60b7ab-41ec-4032-ace2-b203cee12ffd","harvest_record_raw":"https://catalog.data.gov/harvest_record/8b60b7ab-41ec-4032-ace2-b203cee12ffd/raw","has_download":true,"has_spatial":false,"identifier":"https://doi.org/10.48322/1fk8-z856","keyword":["ephemeris","instrumentstatus"],"last_harvested_date":"2026-09-23T00:56:38.618493","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":"SPDF","slug":"barrel-3c-ephemeris-ephm-geographic-and-magnetic-coordinates-level-2-4-s-data","spatial_centroid":null,"spatial_shape":null,"theme":["Heliophysics"],"title":"BARREL 3C Ephemeris (EPHM) Geographic and Magnetic Coordinates, Level 2, 4 s Data","type":"dataset"},{"_score":22.969986,"_sort":[1790124998422,22.969986,3,"a4e51237-b9ee-4f38-b670-6bc157865688"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Planetary Data System","hasEmail":"mailto:pds-operator@jpl.nasa.gov"},"description":"This data set contains count rates (1/s) as measured by the Standard Radiation Environment Monitor (SREM) instrument on the Rosetta spacecraft, along with their standard deviations. The primary target is comet 67P/Churyumov-Gerasimenko. These are CODMAC Level 2 Experiment Data Record data, and provide a measure of the radiation in the spacecraft environment during the Medium Term Plan 35 period of the EXTENSION 3 mission phase.","identifier":"urn:nasa:pds:context_pds3:data_set:data_set.ro-x-srem-2-ext3-mtp035-v1.0;urn:nasa:pds:context_pds3:data_set:data_set.ro-x-srem-2-ext3-mtp035-v1.0::1.0","keyword":["__"],"license":"https://www.usa.gov/government-works","modified":"2026-09-21","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"Small Bodies"},"theme":["Planetary Science"],"title":"ROSETTA-ORBITER 67P SREM 2 EXTENSION 3 MTP035 V1.0"},"description":"This data set contains count rates (1/s) as measured by the Standard Radiation Environment Monitor (SREM) instrument on the Rosetta spacecraft, along with their standard deviations. The primary target is comet 67P/Churyumov-Gerasimenko. These are CODMAC Level 2 Experiment Data Record data, and provide a measure of the radiation in the spacecraft environment during the Medium Term Plan 35 period of the EXTENSION 3 mission phase.","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/0c55bc78-97c8-43d1-a28d-45857e1a9097","harvest_record_raw":"https://catalog.data.gov/harvest_record/0c55bc78-97c8-43d1-a28d-45857e1a9097/raw","has_download":false,"has_spatial":false,"identifier":"urn:nasa:pds:context_pds3:data_set:data_set.ro-x-srem-2-ext3-mtp035-v1.0;urn:nasa:pds:context_pds3:data_set:data_set.ro-x-srem-2-ext3-mtp035-v1.0::1.0","keyword":["__"],"last_harvested_date":"2026-09-23T00:56:38.422502","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":"Small Bodies","slug":"rosetta-orbiter-67p-srem-2-extension-3-mtp035-v1-0-0c0b8","spatial_centroid":null,"spatial_shape":null,"theme":["Planetary Science"],"title":"ROSETTA-ORBITER 67P SREM 2 EXTENSION 3 MTP035 V1.0","type":"dataset"},{"_score":13.385963,"_sort":[1790124996107,13.385963,1,"eedf1885-54d2-4536-9802-34c1177dd72f"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"IRSA Support","hasEmail":"mailto:irsasupport@ipac.caltech.edu"},"description":"The Spitzer Wide-area InfraRed Extragalactic survey (SWIRE), the largest Spitzer Legacy program, is a wide-area, imaging survey to trace the evolution of dusty, star-forming galaxies, evolved stellar populations, and AGN as a function of environment, from redshifts z~3 to the current epoch. SWIRE surveys 6 high-latitude fields, totaling ~50 sq. deg. in all 7 Spitzer bands: 3.6, 4.5, 5.8, and 8 microns with IRAC and 24, 70, and 160 microns with MIPS (Lonsdale et al. 2003). The SWIRE Legacy Extragalactic Source Catalogs will eventually contain in excess of 2 million IR-selected galaxies, from those dominated by the light of stellar populations detected primarily by IRAC, to starbursts, ultra-luminous infrared galaxies and AGN detected also by MIPS.\\n\\nThe main SWIRE catalogs for 24 micron data are the Optical-IRAC-MIPS24 bandmerged catalogs. The bandmerged catalogs require a detection in the shortest IRAC band (3.6 microns). The SWIRE project has produced single-band 24 micron catalogs to cover regions that lie outside the IRAC images, and to include sources that for some reason were not associated with a 3.6 micron detection.","distribution":[{"@type":"dcat:Distribution","downloadURL":"https://irsa.ipac.caltech.edu/SCS?table=chandra_24_cat_f05&","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://irsa.ipac.caltech.edu/data/SPITZER/SWIRE/SWIRE_24only_columns.html","format":"HTML","mediaType":"text/html"}],"identifier":"ivo://irsa.ipac/spitzer/catalog/swire/swire-cdfsm24","keyword":["__"],"landingPage":"ivo://irsa.ipac/spitzer/catalog/swire/swire-cdfsm24","license":"https://www.usa.gov/government-works","modified":"2026-09-21","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/IPAC Infrared Science Archive"},"theme":["Astrophysics"],"title":"Spitzer Wide-area InfraRed Extragalactic Survey CDFS MIPS24 Single-Band Catalog"},"description":"The Spitzer Wide-area InfraRed Extragalactic survey (SWIRE), the largest Spitzer Legacy program, is a wide-area, imaging survey to trace the evolution of dusty, star-forming galaxies, evolved stellar populations, and AGN as a function of environment, from redshifts z~3 to the current epoch. SWIRE surveys 6 high-latitude fields, totaling ~50 sq. deg. in all 7 Spitzer bands: 3.6, 4.5, 5.8, and 8 microns with IRAC and 24, 70, and 160 microns with MIPS (Lonsdale et al. 2003). The SWIRE Legacy Extragalactic Source Catalogs will eventually contain in excess of 2 million IR-selected galaxies, from those dominated by the light of stellar populations detected primarily by IRAC, to starbursts, ultra-luminous infrared galaxies and AGN detected also by MIPS.\\n\\nThe main SWIRE catalogs for 24 micron data are the Optical-IRAC-MIPS24 bandmerged catalogs. The bandmerged catalogs require a detection in the shortest IRAC band (3.6 microns). The SWIRE project has produced single-band 24 micron catalogs to cover regions that lie outside the IRAC images, and to include sources that for some reason were not associated with a 3.6 micron detection.","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/62e96305-b0fe-4cd4-b9f0-f3127c9ecb09","harvest_record_raw":"https://catalog.data.gov/harvest_record/62e96305-b0fe-4cd4-b9f0-f3127c9ecb09/raw","has_download":true,"has_spatial":false,"identifier":"ivo://irsa.ipac/spitzer/catalog/swire/swire-cdfsm24","keyword":["__"],"last_harvested_date":"2026-09-23T00:56:36.107904","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/IPAC Infrared Science Archive","slug":"spitzer-wide-area-infrared-extragalactic-survey-cdfs-mips24-single-band-catalog","spatial_centroid":null,"spatial_shape":null,"theme":["Astrophysics"],"title":"Spitzer Wide-area InfraRed Extragalactic Survey CDFS MIPS24 Single-Band Catalog","type":"dataset"},{"_score":5.33622,"_sort":[1790124987685,5.33622,3,"c0b6baf3-38ee-4d59-84a5-861208bdd842"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"NASA Space Physics Data Facility","hasEmail":"mailto:NASA-SPDF-Support@nasa.onmicrosoft.com"},"description":"Geographic and Magnetic Coordinates: The ephemeris data products, which include the balloon epoch time, latitude, longitude, and altitude, are each returned from the payload once every 4s. Geographic coordinates are obtained from an onboard Global Positioning System, GPS, unit. Magnetic coordinates are derived by using the International Radiation Belt Environment Modeling, IRBEM, FORTRAN library.\n\nThe BARREL Mission was a multiple-balloon investigation designed to study electron losses from Earth's Radiation Belts. Selected as a NASA Living with a Star Mission of Opportunity, BARREL was designed to augment the Radiation Belt Storm Probes, RBSP, mission by providing measurements of the spatial and temporal variations of electron precipitation from the radiation belts. The RBSP mission has since been renamed the Van Allen Probes mission. Each BARREL balloon carried an X-ray spectrometer to measure the bremsstrahlung X-rays produced by precipitating relativistic electrons as they collide with neutrals in the atmosphere, and a DC magnetometer to measure ULF-timescale variations of the magnetic field. BARREL observations collected near latitudes close to either the antarctic and arctic circles at stratospheric altitudes at about 30 km. The BARREL instrumentation provided the first balloon measurements of relativistic electron precipitation while comprehensive in situ measurements of both plasma waves and energetic particles were available. Also, the BARREL data has been used to characterize the spatial scale of precipitation at relativistic energies.\n\nThe initial pair of balloon campaigns that were conducted initially during the Austral summer months of January and February of 2013 and 2014 with launches from two stations located in Antarctica: the British base located at Halley Bay on the Brunt Ice Shelf and the South African SANAE IV base (SANAE stand for South African National Antarctic Expedition) located in Vesleskarvet, Queen Maud Land. For the 2013 and 2014 the balloon campaigns, the launch plan was designed to maintain an array with about five payloads spread across about six hours of magnetic local time, MLT, in the region that magnetically maps to the radiation belts. Thus, the BARREL balloon constellation constituted an evolving and slowly moving array able to study relativistic electron precipitation from the radiation belts.\n\nLater campaigns were undertaken in 2015 and 2016 from the Esrange Space Center located in Kiruna, Sweden. The 2015 and 2016 campaigns were undertaken in coordination with the Van Allen Probes mission, the European Incoherent Scatter Scientific Association, EISCAT, incoherent scatter radar system, and other ground and space based instruments. Seven balloon launches occurred during the August 2015 BARREL campaign. A total of eight flights occurred during August 2016.\n\nSumming over the four BARREL campaigns, over 50 small, approximately 20 kg, stratospheric balloons were successively launched. The website creeated and hosted by A.J. Halford (see Information URL below) reports that: \"By the end of the campaigns, there were over 90 researchers coordinating on a daily basis with the BARREL team working on 7 different satellite missions, 1 other balloon mission, and way too many ground based instruments to count.\" Although the BARREL mission launched only balloons during the years from 2013 to 2016, research using data collected on these flights is ongoing, so stay tuned for updates! All data and analysis software are freely available to the scientific community.\n\nThe information listed above in this resource description was compiled by referencing several BARREL related resources including primarily the Millan et al. (2013) Space Science Reviews publication, the BARREL at Dartmouth mission web site, and the website maintained by A.J. Halford.\n\nThe current release of all BARREL CDF data products are Version 10 files.\n\nBARREL will make all its scientific data products quickly and publicly available but all users are expected to read and follow the BARREL Data Usage Policy listed below.\n\nBARREL Data Usage Policy\n\nBARREL data products are made freely available to the public and every effort is made to ensure that these products are of the highest quality. However, there may occasionally be issues with either the instruments or data processing that affect the accuracy of data. When possible, a quality flag is included in higher level data products, and known issues are posted in the BARREL data repository. You are also strongly encouraged to follow the guidelines below if you are planning a publication or presentation in which BARREL data are used. This will help you ensure that your science results are valid.\n\n* Users should always use the highest version numbers of data and analysis tools. Browse/quick-look plots are not intended for science analysis or publication and should not be used for those purposes without consent of the principal investigator, PI.\n* Users should notify the BARREL PI of the data use and investigation objectives. This will ensure that you are using the data appropriately and have the most recent version of the data or analysis routines. Additionally, if a BARREL team member is already working on a similar or related topic, they may be able to contribute intellectually.\n* If BARREL team members are not part of the author list, then users should Credit/Acknowledge the BARREL team as follows: We acknowledge the BARREL team (PI: Robyn Millan) for use of BARREL data.\n* Users are also requested to provide the PI with a copy of each manuscript that uses BARREL data upon submission of that manuscript for consideration of publication. On publication, the citation should be transmitted to the PI.\n\nThe BARREL PI can be contacted at: Robyn.Millan@dartmouth.edu.\n\nAn online copy of the BARREL Data Usage Policy document can be found at: https://barrel.rmillan.host.dartmouth.edu/documents/data.use.policy.pdf.","distribution":[{"@type":"dcat:Distribution","downloadURL":"ftps://spdf.gsfc.nasa.gov/pub/data/barrel/l2/4b/ephem/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"http://relativisticballoons.blogspot.com","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://alexahalford.weebly.com/barrel-2013---2016.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://barrel.rmillan.host.dartmouth.edu/documents/data.use.policy.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://barrel.rmillan.host.dartmouth.edu/index.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://cdaweb.gsfc.nasa.gov/cgi-bin/eval2.cgi?dataset=BAR_4B_L2_EPHM&index=sp_phys","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://cdaweb.gsfc.nasa.gov/pub/data/barrel/Campaigns_and_launches.txt","format":"TXT","mediaType":"text/plain"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.1007/s11214-013-9971-z","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://github.com/PRBEM/IRBEM","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://helio.data.nasa.gov/dataset/BARREL_4B_Ephemeris_L2_PT4S","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://hpde.io/NASA/NumericalData/BARREL/4B/Ephemeris/L2/PT4S","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://prbem.github.io/IRBEM/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://spdf.gsfc.nasa.gov/pub/data/barrel/l2/4b/ephem/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.nasa.gov/mission-pages/rbsp/barrel/","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"https://doi.org/10.48322/501n-7c49","keyword":["ephemeris","instrumentstatus"],"landingPage":"https://doi.org/10.48322/501n-7c49","license":"https://www.usa.gov/government-works","modified":"2026-09-21","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"SPDF"},"theme":["Heliophysics"],"title":"BARREL 4B Ephemeris (EPHM) Geographic and Magnetic Coordinates, Level 2, 4 s Data"},"description":"Geographic and Magnetic Coordinates: The ephemeris data products, which include the balloon epoch time, latitude, longitude, and altitude, are each returned from the payload once every 4s. Geographic coordinates are obtained from an onboard Global Positioning System, GPS, unit. Magnetic coordinates are derived by using the International Radiation Belt Environment Modeling, IRBEM, FORTRAN library.\n\nThe BARREL Mission was a multiple-balloon investigation designed to study electron losses from Earth's Radiation Belts. Selected as a NASA Living with a Star Mission of Opportunity, BARREL was designed to augment the Radiation Belt Storm Probes, RBSP, mission by providing measurements of the spatial and temporal variations of electron precipitation from the radiation belts. The RBSP mission has since been renamed the Van Allen Probes mission. Each BARREL balloon carried an X-ray spectrometer to measure the bremsstrahlung X-rays produced by precipitating relativistic electrons as they collide with neutrals in the atmosphere, and a DC magnetometer to measure ULF-timescale variations of the magnetic field. BARREL observations collected near latitudes close to either the antarctic and arctic circles at stratospheric altitudes at about 30 km. The BARREL instrumentation provided the first balloon measurements of relativistic electron precipitation while comprehensive in situ measurements of both plasma waves and energetic particles were available. Also, the BARREL data has been used to characterize the spatial scale of precipitation at relativistic energies.\n\nThe initial pair of balloon campaigns that were conducted initially during the Austral summer months of January and February of 2013 and 2014 with launches from two stations located in Antarctica: the British base located at Halley Bay on the Brunt Ice Shelf and the South African SANAE IV base (SANAE stand for South African National Antarctic Expedition) located in Vesleskarvet, Queen Maud Land. For the 2013 and 2014 the balloon campaigns, the launch plan was designed to maintain an array with about five payloads spread across about six hours of magnetic local time, MLT, in the region that magnetically maps to the radiation belts. Thus, the BARREL balloon constellation constituted an evolving and slowly moving array able to study relativistic electron precipitation from the radiation belts.\n\nLater campaigns were undertaken in 2015 and 2016 from the Esrange Space Center located in Kiruna, Sweden. The 2015 and 2016 campaigns were undertaken in coordination with the Van Allen Probes mission, the European Incoherent Scatter Scientific Association, EISCAT, incoherent scatter radar system, and other ground and space based instruments. Seven balloon launches occurred during the August 2015 BARREL campaign. A total of eight flights occurred during August 2016.\n\nSumming over the four BARREL campaigns, over 50 small, approximately 20 kg, stratospheric balloons were successively launched. The website creeated and hosted by A.J. Halford (see Information URL below) reports that: \"By the end of the campaigns, there were over 90 researchers coordinating on a daily basis with the BARREL team working on 7 different satellite missions, 1 other balloon mission, and way too many ground based instruments to count.\" Although the BARREL mission launched only balloons during the years from 2013 to 2016, research using data collected on these flights is ongoing, so stay tuned for updates! All data and analysis software are freely available to the scientific community.\n\nThe information listed above in this resource description was compiled by referencing several BARREL related resources including primarily the Millan et al. (2013) Space Science Reviews publication, the BARREL at Dartmouth mission web site, and the website maintained by A.J. Halford.\n\nThe current release of all BARREL CDF data products are Version 10 files.\n\nBARREL will make all its scientific data products quickly and publicly available but all users are expected to read and follow the BARREL Data Usage Policy listed below.\n\nBARREL Data Usage Policy\n\nBARREL data products are made freely available to the public and every effort is made to ensure that these products are of the highest quality. However, there may occasionally be issues with either the instruments or data processing that affect the accuracy of data. When possible, a quality flag is included in higher level data products, and known issues are posted in the BARREL data repository. You are also strongly encouraged to follow the guidelines below if you are planning a publication or presentation in which BARREL data are used. This will help you ensure that your science results are valid.\n\n* Users should always use the highest version numbers of data and analysis tools. Browse/quick-look plots are not intended for science analysis or publication and should not be used for those purposes without consent of the principal investigator, PI.\n* Users should notify the BARREL PI of the data use and investigation objectives. This will ensure that you are using the data appropriately and have the most recent version of the data or analysis routines. Additionally, if a BARREL team member is already working on a similar or related topic, they may be able to contribute intellectually.\n* If BARREL team members are not part of the author list, then users should Credit/Acknowledge the BARREL team as follows: We acknowledge the BARREL team (PI: Robyn Millan) for use of BARREL data.\n* Users are also requested to provide the PI with a copy of each manuscript that uses BARREL data upon submission of that manuscript for consideration of publication. On publication, the citation should be transmitted to the PI.\n\nThe BARREL PI can be contacted at: Robyn.Millan@dartmouth.edu.\n\nAn online copy of the BARREL Data Usage Policy document can be found at: https://barrel.rmillan.host.dartmouth.edu/documents/data.use.policy.pdf.","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/2d8b4e7b-8bdd-4482-9f68-6eaa8c83f2ec","harvest_record_raw":"https://catalog.data.gov/harvest_record/2d8b4e7b-8bdd-4482-9f68-6eaa8c83f2ec/raw","has_download":true,"has_spatial":false,"identifier":"https://doi.org/10.48322/501n-7c49","keyword":["ephemeris","instrumentstatus"],"last_harvested_date":"2026-09-23T00:56:27.685947","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":"SPDF","slug":"barrel-4b-ephemeris-ephm-geographic-and-magnetic-coordinates-level-2-4-s-data","spatial_centroid":null,"spatial_shape":null,"theme":["Heliophysics"],"title":"BARREL 4B Ephemeris (EPHM) Geographic and Magnetic Coordinates, Level 2, 4 s Data","type":"dataset"},{"_score":5.3802567,"_sort":[1790124981025,5.3802567,2,"ba1e6ade-08bd-438f-b93b-c765f3beaf42"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"NASA Space Physics Data Facility","hasEmail":"mailto:NASA-SPDF-Support@nasa.onmicrosoft.com"},"description":"Geographic and Magnetic Coordinates: The ephemeris data products, which include the balloon epoch time, latitude, longitude, and altitude, are each returned from the payload once every 4s. Geographic coordinates are obtained from an onboard Global Positioning System, GPS, unit. Magnetic coordinates are derived by using the International Radiation Belt Environment Modeling, IRBEM, FORTRAN library.\n\nThe BARREL Mission was a multiple-balloon investigation designed to study electron losses from Earth's Radiation Belts. Selected as a NASA Living with a Star Mission of Opportunity, BARREL was designed to augment the Radiation Belt Storm Probes, RBSP, mission by providing measurements of the spatial and temporal variations of electron precipitation from the radiation belts. The RBSP mission has since been renamed the Van Allen Probes mission. Each BARREL balloon carried an X-ray spectrometer to measure the bremsstrahlung X-rays produced by precipitating relativistic electrons as they collide with neutrals in the atmosphere, and a DC magnetometer to measure ULF-timescale variations of the magnetic field. BARREL observations collected near latitudes close to either the antarctic and arctic circles at stratospheric altitudes at about 30 km. The BARREL instrumentation provided the first balloon measurements of relativistic electron precipitation while comprehensive in situ measurements of both plasma waves and energetic particles were available. Also, the BARREL data has been used to characterize the spatial scale of precipitation at relativistic energies.\n\nThe initial pair of balloon campaigns that were conducted initially during the Austral summer months of January and February of 2013 and 2014 with launches from two stations located in Antarctica: the British base located at Halley Bay on the Brunt Ice Shelf and the South African SANAE IV base (SANAE stand for South African National Antarctic Expedition) located in Vesleskarvet, Queen Maud Land. For the 2013 and 2014 the balloon campaigns, the launch plan was designed to maintain an array with about five payloads spread across about six hours of magnetic local time, MLT, in the region that magnetically maps to the radiation belts. Thus, the BARREL balloon constellation constituted an evolving and slowly moving array able to study relativistic electron precipitation from the radiation belts.\n\nLater campaigns were undertaken in 2015 and 2016 from the Esrange Space Center located in Kiruna, Sweden. The 2015 and 2016 campaigns were undertaken in coordination with the Van Allen Probes mission, the European Incoherent Scatter Scientific Association, EISCAT, incoherent scatter radar system, and other ground and space based instruments. Seven balloon launches occurred during the August 2015 BARREL campaign. A total of eight flights occurred during August 2016.\n\nSumming over the four BARREL campaigns, over 50 small, approximately 20 kg, stratospheric balloons were successively launched. The website creeated and hosted by A.J. Halford (see Information URL below) reports that: \"By the end of the campaigns, there were over 90 researchers coordinating on a daily basis with the BARREL team working on 7 different satellite missions, 1 other balloon mission, and way too many ground based instruments to count.\" Although the BARREL mission launched only balloons during the years from 2013 to 2016, research using data collected on these flights is ongoing, so stay tuned for updates! All data and analysis software are freely available to the scientific community.\n\nThe information listed above in this resource description was compiled by referencing several BARREL related resources including primarily the Millan et al. (2013) Space Science Reviews publication, the BARREL at Dartmouth mission web site, and the website maintained by A.J. Halford.\n\nThe current release of all BARREL CDF data products are Version 10 files.\n\nBARREL will make all its scientific data products quickly and publicly available but all users are expected to read and follow the BARREL Data Usage Policy listed below.\n\nBARREL Data Usage Policy\n\nBARREL data products are made freely available to the public and every effort is made to ensure that these products are of the highest quality. However, there may occasionally be issues with either the instruments or data processing that affect the accuracy of data. When possible, a quality flag is included in higher level data products, and known issues are posted in the BARREL data repository. You are also strongly encouraged to follow the guidelines below if you are planning a publication or presentation in which BARREL data are used. This will help you ensure that your science results are valid.\n\n* Users should always use the highest version numbers of data and analysis tools. Browse/quick-look plots are not intended for science analysis or publication and should not be used for those purposes without consent of the principal investigator, PI.\n* Users should notify the BARREL PI of the data use and investigation objectives. This will ensure that you are using the data appropriately and have the most recent version of the data or analysis routines. Additionally, if a BARREL team member is already working on a similar or related topic, they may be able to contribute intellectually.\n* If BARREL team members are not part of the author list, then users should Credit/Acknowledge the BARREL team as follows: We acknowledge the BARREL team (PI: Robyn Millan) for use of BARREL data.\n* Users are also requested to provide the PI with a copy of each manuscript that uses BARREL data upon submission of that manuscript for consideration of publication. On publication, the citation should be transmitted to the PI.\n\nThe BARREL PI can be contacted at: Robyn.Millan@dartmouth.edu.\n\nAn online copy of the BARREL Data Usage Policy document can be found at: https://barrel.rmillan.host.dartmouth.edu/documents/data.use.policy.pdf.","distribution":[{"@type":"dcat:Distribution","downloadURL":"ftps://spdf.gsfc.nasa.gov/pub/data/barrel/l2/4c/ephem/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"http://relativisticballoons.blogspot.com","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://alexahalford.weebly.com/barrel-2013---2016.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://barrel.rmillan.host.dartmouth.edu/documents/data.use.policy.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://barrel.rmillan.host.dartmouth.edu/index.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://cdaweb.gsfc.nasa.gov/cgi-bin/eval2.cgi?dataset=BAR_4C_L2_EPHM&index=sp_phys","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://cdaweb.gsfc.nasa.gov/pub/data/barrel/Campaigns_and_launches.txt","format":"TXT","mediaType":"text/plain"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.1007/s11214-013-9971-z","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://github.com/PRBEM/IRBEM","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://helio.data.nasa.gov/dataset/BARREL_4C_Ephemeris_L2_PT4S","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://hpde.io/NASA/NumericalData/BARREL/4C/Ephemeris/L2/PT4S","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://prbem.github.io/IRBEM/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://spdf.gsfc.nasa.gov/pub/data/barrel/l2/4c/ephem/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.nasa.gov/mission-pages/rbsp/barrel/","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"https://doi.org/10.48322/xm4d-w960","keyword":["ephemeris","instrumentstatus"],"landingPage":"https://doi.org/10.48322/xm4d-w960","license":"https://www.usa.gov/government-works","modified":"2026-09-21","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"SPDF"},"theme":["Heliophysics"],"title":"BARREL 4C Ephemeris (EPHM) Geographic and Magnetic Coordinates, Level 2, 4 s Data"},"description":"Geographic and Magnetic Coordinates: The ephemeris data products, which include the balloon epoch time, latitude, longitude, and altitude, are each returned from the payload once every 4s. Geographic coordinates are obtained from an onboard Global Positioning System, GPS, unit. Magnetic coordinates are derived by using the International Radiation Belt Environment Modeling, IRBEM, FORTRAN library.\n\nThe BARREL Mission was a multiple-balloon investigation designed to study electron losses from Earth's Radiation Belts. Selected as a NASA Living with a Star Mission of Opportunity, BARREL was designed to augment the Radiation Belt Storm Probes, RBSP, mission by providing measurements of the spatial and temporal variations of electron precipitation from the radiation belts. The RBSP mission has since been renamed the Van Allen Probes mission. Each BARREL balloon carried an X-ray spectrometer to measure the bremsstrahlung X-rays produced by precipitating relativistic electrons as they collide with neutrals in the atmosphere, and a DC magnetometer to measure ULF-timescale variations of the magnetic field. BARREL observations collected near latitudes close to either the antarctic and arctic circles at stratospheric altitudes at about 30 km. The BARREL instrumentation provided the first balloon measurements of relativistic electron precipitation while comprehensive in situ measurements of both plasma waves and energetic particles were available. Also, the BARREL data has been used to characterize the spatial scale of precipitation at relativistic energies.\n\nThe initial pair of balloon campaigns that were conducted initially during the Austral summer months of January and February of 2013 and 2014 with launches from two stations located in Antarctica: the British base located at Halley Bay on the Brunt Ice Shelf and the South African SANAE IV base (SANAE stand for South African National Antarctic Expedition) located in Vesleskarvet, Queen Maud Land. For the 2013 and 2014 the balloon campaigns, the launch plan was designed to maintain an array with about five payloads spread across about six hours of magnetic local time, MLT, in the region that magnetically maps to the radiation belts. Thus, the BARREL balloon constellation constituted an evolving and slowly moving array able to study relativistic electron precipitation from the radiation belts.\n\nLater campaigns were undertaken in 2015 and 2016 from the Esrange Space Center located in Kiruna, Sweden. The 2015 and 2016 campaigns were undertaken in coordination with the Van Allen Probes mission, the European Incoherent Scatter Scientific Association, EISCAT, incoherent scatter radar system, and other ground and space based instruments. Seven balloon launches occurred during the August 2015 BARREL campaign. A total of eight flights occurred during August 2016.\n\nSumming over the four BARREL campaigns, over 50 small, approximately 20 kg, stratospheric balloons were successively launched. The website creeated and hosted by A.J. Halford (see Information URL below) reports that: \"By the end of the campaigns, there were over 90 researchers coordinating on a daily basis with the BARREL team working on 7 different satellite missions, 1 other balloon mission, and way too many ground based instruments to count.\" Although the BARREL mission launched only balloons during the years from 2013 to 2016, research using data collected on these flights is ongoing, so stay tuned for updates! All data and analysis software are freely available to the scientific community.\n\nThe information listed above in this resource description was compiled by referencing several BARREL related resources including primarily the Millan et al. (2013) Space Science Reviews publication, the BARREL at Dartmouth mission web site, and the website maintained by A.J. Halford.\n\nThe current release of all BARREL CDF data products are Version 10 files.\n\nBARREL will make all its scientific data products quickly and publicly available but all users are expected to read and follow the BARREL Data Usage Policy listed below.\n\nBARREL Data Usage Policy\n\nBARREL data products are made freely available to the public and every effort is made to ensure that these products are of the highest quality. However, there may occasionally be issues with either the instruments or data processing that affect the accuracy of data. When possible, a quality flag is included in higher level data products, and known issues are posted in the BARREL data repository. You are also strongly encouraged to follow the guidelines below if you are planning a publication or presentation in which BARREL data are used. This will help you ensure that your science results are valid.\n\n* Users should always use the highest version numbers of data and analysis tools. Browse/quick-look plots are not intended for science analysis or publication and should not be used for those purposes without consent of the principal investigator, PI.\n* Users should notify the BARREL PI of the data use and investigation objectives. This will ensure that you are using the data appropriately and have the most recent version of the data or analysis routines. Additionally, if a BARREL team member is already working on a similar or related topic, they may be able to contribute intellectually.\n* If BARREL team members are not part of the author list, then users should Credit/Acknowledge the BARREL team as follows: We acknowledge the BARREL team (PI: Robyn Millan) for use of BARREL data.\n* Users are also requested to provide the PI with a copy of each manuscript that uses BARREL data upon submission of that manuscript for consideration of publication. On publication, the citation should be transmitted to the PI.\n\nThe BARREL PI can be contacted at: Robyn.Millan@dartmouth.edu.\n\nAn online copy of the BARREL Data Usage Policy document can be found at: https://barrel.rmillan.host.dartmouth.edu/documents/data.use.policy.pdf.","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/f1c5ad6c-4b48-4912-8baa-646e77b3c40c","harvest_record_raw":"https://catalog.data.gov/harvest_record/f1c5ad6c-4b48-4912-8baa-646e77b3c40c/raw","has_download":true,"has_spatial":false,"identifier":"https://doi.org/10.48322/xm4d-w960","keyword":["ephemeris","instrumentstatus"],"last_harvested_date":"2026-09-23T00:56:21.025928","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":"SPDF","slug":"barrel-4c-ephemeris-ephm-geographic-and-magnetic-coordinates-level-2-4-s-data","spatial_centroid":null,"spatial_shape":null,"theme":["Heliophysics"],"title":"BARREL 4C Ephemeris (EPHM) Geographic and Magnetic Coordinates, Level 2, 4 s Data","type":"dataset"},{"_score":24.149656,"_sort":[1790124976507,24.149656,3,"87ce5b98-dbe0-4540-a050-d06304c1b1c5"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Planetary Data System","hasEmail":"mailto:pds-operator@jpl.nasa.gov"},"description":"This data set contains derived electron and proton flux energies in MeV from the Standard Radiation Environment Monitor (SREM) instrument on the Rosetta spacecraft. These are CODMAC Level 5 derived data, and measure the radiation in the spacecraft environment during the CRUISE 1 mission phase.","identifier":"urn:nasa:pds:context_pds3:data_set:data_set.ro-x-srem-5-cr1-v1.0;urn:nasa:pds:context_pds3:data_set:data_set.ro-x-srem-5-cr1-v1.0::1.0","keyword":["__"],"license":"https://www.usa.gov/government-works","modified":"2026-09-21","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"Small Bodies"},"theme":["Planetary Science"],"title":"ROSETTA-ORBITER X SREM 5 CRUISE 1 V1.0"},"description":"This data set contains derived electron and proton flux energies in MeV from the Standard Radiation Environment Monitor (SREM) instrument on the Rosetta spacecraft. These are CODMAC Level 5 derived data, and measure the radiation in the spacecraft environment during the CRUISE 1 mission phase.","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/e2330c83-906f-408d-9bc1-5ccf57134ef3","harvest_record_raw":"https://catalog.data.gov/harvest_record/e2330c83-906f-408d-9bc1-5ccf57134ef3/raw","has_download":false,"has_spatial":false,"identifier":"urn:nasa:pds:context_pds3:data_set:data_set.ro-x-srem-5-cr1-v1.0;urn:nasa:pds:context_pds3:data_set:data_set.ro-x-srem-5-cr1-v1.0::1.0","keyword":["__"],"last_harvested_date":"2026-09-23T00:56:16.507142","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":"Small Bodies","slug":"rosetta-orbiter-x-srem-5-cruise-1-v1-0-6b26d","spatial_centroid":null,"spatial_shape":null,"theme":["Planetary Science"],"title":"ROSETTA-ORBITER X SREM 5 CRUISE 1 V1.0","type":"dataset"},{"_score":5.257498,"_sort":[1790124971729,5.257498,4,"9a8ab2ce-17a1-4045-8c8d-2912cd729f04"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"NASA Space Physics Data Facility","hasEmail":"mailto:NASA-SPDF-Support@nasa.onmicrosoft.com"},"description":"Geographic and Magnetic Coordinates: The ephemeris data products, which include the balloon epoch time, latitude, longitude, and altitude, are each returned from the payload once every 4s. Geographic coordinates are obtained from an onboard Global Positioning System, GPS, unit. Magnetic coordinates are derived by using the International Radiation Belt Environment Modeling, IRBEM, FORTRAN library.\n\nThe BARREL Mission was a multiple-balloon investigation designed to study electron losses from Earth's Radiation Belts. Selected as a NASA Living with a Star Mission of Opportunity, BARREL was designed to augment the Radiation Belt Storm Probes, RBSP, mission by providing measurements of the spatial and temporal variations of electron precipitation from the radiation belts. The RBSP mission has since been renamed the Van Allen Probes mission. Each BARREL balloon carried an X-ray spectrometer to measure the bremsstrahlung X-rays produced by precipitating relativistic electrons as they collide with neutrals in the atmosphere, and a DC magnetometer to measure ULF-timescale variations of the magnetic field. BARREL observations collected near latitudes close to either the antarctic and arctic circles at stratospheric altitudes at about 30 km. The BARREL instrumentation provided the first balloon measurements of relativistic electron precipitation while comprehensive in situ measurements of both plasma waves and energetic particles were available. Also, the BARREL data has been used to characterize the spatial scale of precipitation at relativistic energies.\n\nThe initial pair of balloon campaigns that were conducted initially during the Austral summer months of January and February of 2013 and 2014 with launches from two stations located in Antarctica: the British base located at Halley Bay on the Brunt Ice Shelf and the South African SANAE IV base (SANAE stand for South African National Antarctic Expedition) located in Vesleskarvet, Queen Maud Land. For the 2013 and 2014 the balloon campaigns, the launch plan was designed to maintain an array with about five payloads spread across about six hours of magnetic local time, MLT, in the region that magnetically maps to the radiation belts. Thus, the BARREL balloon constellation constituted an evolving and slowly moving array able to study relativistic electron precipitation from the radiation belts.\n\nLater campaigns were undertaken in 2015 and 2016 from the Esrange Space Center located in Kiruna, Sweden. The 2015 and 2016 campaigns were undertaken in coordination with the Van Allen Probes mission, the European Incoherent Scatter Scientific Association, EISCAT, incoherent scatter radar system, and other ground and space based instruments. Seven balloon launches occurred during the August 2015 BARREL campaign. A total of eight flights occurred during August 2016.\n\nSumming over the four BARREL campaigns, over 50 small, approximately 20 kg, stratospheric balloons were successively launched. The website creeated and hosted by A.J. Halford (see Information URL below) reports that: \"By the end of the campaigns, there were over 90 researchers coordinating on a daily basis with the BARREL team working on 7 different satellite missions, 1 other balloon mission, and way too many ground based instruments to count.\" Although the BARREL mission launched only balloons during the years from 2013 to 2016, research using data collected on these flights is ongoing, so stay tuned for updates! All data and analysis software are freely available to the scientific community.\n\nThe information listed above in this resource description was compiled by referencing several BARREL related resources including primarily the Millan et al. (2013) Space Science Reviews publication, the BARREL at Dartmouth mission web site, and the website maintained by A.J. Halford.\n\nThe current release of all BARREL CDF data products are Version 10 files.\n\nBARREL will make all its scientific data products quickly and publicly available but all users are expected to read and follow the BARREL Data Usage Policy listed below.\n\nBARREL Data Usage Policy\n\nBARREL data products are made freely available to the public and every effort is made to ensure that these products are of the highest quality. However, there may occasionally be issues with either the instruments or data processing that affect the accuracy of data. When possible, a quality flag is included in higher level data products, and known issues are posted in the BARREL data repository. You are also strongly encouraged to follow the guidelines below if you are planning a publication or presentation in which BARREL data are used. This will help you ensure that your science results are valid.\n\n* Users should always use the highest version numbers of data and analysis tools. Browse/quick-look plots are not intended for science analysis or publication and should not be used for those purposes without consent of the principal investigator, PI.\n* Users should notify the BARREL PI of the data use and investigation objectives. This will ensure that you are using the data appropriately and have the most recent version of the data or analysis routines. Additionally, if a BARREL team member is already working on a similar or related topic, they may be able to contribute intellectually.\n* If BARREL team members are not part of the author list, then users should Credit/Acknowledge the BARREL team as follows: We acknowledge the BARREL team (PI: Robyn Millan) for use of BARREL data.\n* Users are also requested to provide the PI with a copy of each manuscript that uses BARREL data upon submission of that manuscript for consideration of publication. On publication, the citation should be transmitted to the PI.\n\nThe BARREL PI can be contacted at: Robyn.Millan@dartmouth.edu.\n\nAn online copy of the BARREL Data Usage Policy document can be found at: https://barrel.rmillan.host.dartmouth.edu/documents/data.use.policy.pdf.","distribution":[{"@type":"dcat:Distribution","downloadURL":"ftps://spdf.gsfc.nasa.gov/pub/data/barrel/l2/4g/ephem/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"http://relativisticballoons.blogspot.com","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://alexahalford.weebly.com/barrel-2013---2016.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://barrel.rmillan.host.dartmouth.edu/documents/data.use.policy.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://barrel.rmillan.host.dartmouth.edu/index.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://cdaweb.gsfc.nasa.gov/cgi-bin/eval2.cgi?dataset=BAR_4G_L2_EPHM&index=sp_phys","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://cdaweb.gsfc.nasa.gov/pub/data/barrel/Campaigns_and_launches.txt","format":"TXT","mediaType":"text/plain"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.1007/s11214-013-9971-z","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://github.com/PRBEM/IRBEM","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://helio.data.nasa.gov/dataset/BARREL_4G_Ephemeris_L2_PT4S","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://hpde.io/NASA/NumericalData/BARREL/4G/Ephemeris/L2/PT4S","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://prbem.github.io/IRBEM/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://spdf.gsfc.nasa.gov/pub/data/barrel/l2/4g/ephem/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.nasa.gov/mission-pages/rbsp/barrel/","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"https://doi.org/10.48322/jnd7-q680","keyword":["ephemeris","instrumentstatus"],"landingPage":"https://doi.org/10.48322/jnd7-q680","license":"https://www.usa.gov/government-works","modified":"2026-09-21","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"SPDF"},"theme":["Heliophysics"],"title":"BARREL 4G Ephemeris (EPHM) Geographic and Magnetic Coordinates, Level 2, 4 s Data"},"description":"Geographic and Magnetic Coordinates: The ephemeris data products, which include the balloon epoch time, latitude, longitude, and altitude, are each returned from the payload once every 4s. Geographic coordinates are obtained from an onboard Global Positioning System, GPS, unit. Magnetic coordinates are derived by using the International Radiation Belt Environment Modeling, IRBEM, FORTRAN library.\n\nThe BARREL Mission was a multiple-balloon investigation designed to study electron losses from Earth's Radiation Belts. Selected as a NASA Living with a Star Mission of Opportunity, BARREL was designed to augment the Radiation Belt Storm Probes, RBSP, mission by providing measurements of the spatial and temporal variations of electron precipitation from the radiation belts. The RBSP mission has since been renamed the Van Allen Probes mission. Each BARREL balloon carried an X-ray spectrometer to measure the bremsstrahlung X-rays produced by precipitating relativistic electrons as they collide with neutrals in the atmosphere, and a DC magnetometer to measure ULF-timescale variations of the magnetic field. BARREL observations collected near latitudes close to either the antarctic and arctic circles at stratospheric altitudes at about 30 km. The BARREL instrumentation provided the first balloon measurements of relativistic electron precipitation while comprehensive in situ measurements of both plasma waves and energetic particles were available. Also, the BARREL data has been used to characterize the spatial scale of precipitation at relativistic energies.\n\nThe initial pair of balloon campaigns that were conducted initially during the Austral summer months of January and February of 2013 and 2014 with launches from two stations located in Antarctica: the British base located at Halley Bay on the Brunt Ice Shelf and the South African SANAE IV base (SANAE stand for South African National Antarctic Expedition) located in Vesleskarvet, Queen Maud Land. For the 2013 and 2014 the balloon campaigns, the launch plan was designed to maintain an array with about five payloads spread across about six hours of magnetic local time, MLT, in the region that magnetically maps to the radiation belts. Thus, the BARREL balloon constellation constituted an evolving and slowly moving array able to study relativistic electron precipitation from the radiation belts.\n\nLater campaigns were undertaken in 2015 and 2016 from the Esrange Space Center located in Kiruna, Sweden. The 2015 and 2016 campaigns were undertaken in coordination with the Van Allen Probes mission, the European Incoherent Scatter Scientific Association, EISCAT, incoherent scatter radar system, and other ground and space based instruments. Seven balloon launches occurred during the August 2015 BARREL campaign. A total of eight flights occurred during August 2016.\n\nSumming over the four BARREL campaigns, over 50 small, approximately 20 kg, stratospheric balloons were successively launched. The website creeated and hosted by A.J. Halford (see Information URL below) reports that: \"By the end of the campaigns, there were over 90 researchers coordinating on a daily basis with the BARREL team working on 7 different satellite missions, 1 other balloon mission, and way too many ground based instruments to count.\" Although the BARREL mission launched only balloons during the years from 2013 to 2016, research using data collected on these flights is ongoing, so stay tuned for updates! All data and analysis software are freely available to the scientific community.\n\nThe information listed above in this resource description was compiled by referencing several BARREL related resources including primarily the Millan et al. (2013) Space Science Reviews publication, the BARREL at Dartmouth mission web site, and the website maintained by A.J. Halford.\n\nThe current release of all BARREL CDF data products are Version 10 files.\n\nBARREL will make all its scientific data products quickly and publicly available but all users are expected to read and follow the BARREL Data Usage Policy listed below.\n\nBARREL Data Usage Policy\n\nBARREL data products are made freely available to the public and every effort is made to ensure that these products are of the highest quality. However, there may occasionally be issues with either the instruments or data processing that affect the accuracy of data. When possible, a quality flag is included in higher level data products, and known issues are posted in the BARREL data repository. You are also strongly encouraged to follow the guidelines below if you are planning a publication or presentation in which BARREL data are used. This will help you ensure that your science results are valid.\n\n* Users should always use the highest version numbers of data and analysis tools. Browse/quick-look plots are not intended for science analysis or publication and should not be used for those purposes without consent of the principal investigator, PI.\n* Users should notify the BARREL PI of the data use and investigation objectives. This will ensure that you are using the data appropriately and have the most recent version of the data or analysis routines. Additionally, if a BARREL team member is already working on a similar or related topic, they may be able to contribute intellectually.\n* If BARREL team members are not part of the author list, then users should Credit/Acknowledge the BARREL team as follows: We acknowledge the BARREL team (PI: Robyn Millan) for use of BARREL data.\n* Users are also requested to provide the PI with a copy of each manuscript that uses BARREL data upon submission of that manuscript for consideration of publication. On publication, the citation should be transmitted to the PI.\n\nThe BARREL PI can be contacted at: Robyn.Millan@dartmouth.edu.\n\nAn online copy of the BARREL Data Usage Policy document can be found at: https://barrel.rmillan.host.dartmouth.edu/documents/data.use.policy.pdf.","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/0f8fab94-984d-4cee-bc3e-ec8893633c52","harvest_record_raw":"https://catalog.data.gov/harvest_record/0f8fab94-984d-4cee-bc3e-ec8893633c52/raw","has_download":true,"has_spatial":false,"identifier":"https://doi.org/10.48322/jnd7-q680","keyword":["ephemeris","instrumentstatus"],"last_harvested_date":"2026-09-23T00:56:11.729283","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":"SPDF","slug":"barrel-4g-ephemeris-ephm-geographic-and-magnetic-coordinates-level-2-4-s-data","spatial_centroid":null,"spatial_shape":null,"theme":["Heliophysics"],"title":"BARREL 4G Ephemeris (EPHM) Geographic and Magnetic Coordinates, Level 2, 4 s Data","type":"dataset"},{"_score":5.33622,"_sort":[1790124967285,5.33622,1,"a8464d3d-2bbd-4460-9ec5-1619ff595e24"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"NASA Space Physics Data Facility","hasEmail":"mailto:NASA-SPDF-Support@nasa.onmicrosoft.com"},"description":"Geographic and Magnetic Coordinates: The ephemeris data products, which include the balloon epoch time, latitude, longitude, and altitude, are each returned from the payload once every 4s. Geographic coordinates are obtained from an onboard Global Positioning System, GPS, unit. Magnetic coordinates are derived by using the International Radiation Belt Environment Modeling, IRBEM, FORTRAN library.\n\nThe BARREL Mission was a multiple-balloon investigation designed to study electron losses from Earth's Radiation Belts. Selected as a NASA Living with a Star Mission of Opportunity, BARREL was designed to augment the Radiation Belt Storm Probes, RBSP, mission by providing measurements of the spatial and temporal variations of electron precipitation from the radiation belts. The RBSP mission has since been renamed the Van Allen Probes mission. Each BARREL balloon carried an X-ray spectrometer to measure the bremsstrahlung X-rays produced by precipitating relativistic electrons as they collide with neutrals in the atmosphere, and a DC magnetometer to measure ULF-timescale variations of the magnetic field. BARREL observations collected near latitudes close to either the antarctic and arctic circles at stratospheric altitudes at about 30 km. The BARREL instrumentation provided the first balloon measurements of relativistic electron precipitation while comprehensive in situ measurements of both plasma waves and energetic particles were available. Also, the BARREL data has been used to characterize the spatial scale of precipitation at relativistic energies.\n\nThe initial pair of balloon campaigns that were conducted initially during the Austral summer months of January and February of 2013 and 2014 with launches from two stations located in Antarctica: the British base located at Halley Bay on the Brunt Ice Shelf and the South African SANAE IV base (SANAE stand for South African National Antarctic Expedition) located in Vesleskarvet, Queen Maud Land. For the 2013 and 2014 the balloon campaigns, the launch plan was designed to maintain an array with about five payloads spread across about six hours of magnetic local time, MLT, in the region that magnetically maps to the radiation belts. Thus, the BARREL balloon constellation constituted an evolving and slowly moving array able to study relativistic electron precipitation from the radiation belts.\n\nLater campaigns were undertaken in 2015 and 2016 from the Esrange Space Center located in Kiruna, Sweden. The 2015 and 2016 campaigns were undertaken in coordination with the Van Allen Probes mission, the European Incoherent Scatter Scientific Association, EISCAT, incoherent scatter radar system, and other ground and space based instruments. Seven balloon launches occurred during the August 2015 BARREL campaign. A total of eight flights occurred during August 2016.\n\nSumming over the four BARREL campaigns, over 50 small, approximately 20 kg, stratospheric balloons were successively launched. The website creeated and hosted by A.J. Halford (see Information URL below) reports that: \"By the end of the campaigns, there were over 90 researchers coordinating on a daily basis with the BARREL team working on 7 different satellite missions, 1 other balloon mission, and way too many ground based instruments to count.\" Although the BARREL mission launched only balloons during the years from 2013 to 2016, research using data collected on these flights is ongoing, so stay tuned for updates! All data and analysis software are freely available to the scientific community.\n\nThe information listed above in this resource description was compiled by referencing several BARREL related resources including primarily the Millan et al. (2013) Space Science Reviews publication, the BARREL at Dartmouth mission web site, and the website maintained by A.J. Halford.\n\nThe current release of all BARREL CDF data products are Version 10 files.\n\nBARREL will make all its scientific data products quickly and publicly available but all users are expected to read and follow the BARREL Data Usage Policy listed below.\n\nBARREL Data Usage Policy\n\nBARREL data products are made freely available to the public and every effort is made to ensure that these products are of the highest quality. However, there may occasionally be issues with either the instruments or data processing that affect the accuracy of data. When possible, a quality flag is included in higher level data products, and known issues are posted in the BARREL data repository. You are also strongly encouraged to follow the guidelines below if you are planning a publication or presentation in which BARREL data are used. This will help you ensure that your science results are valid.\n\n* Users should always use the highest version numbers of data and analysis tools. Browse/quick-look plots are not intended for science analysis or publication and should not be used for those purposes without consent of the principal investigator, PI.\n* Users should notify the BARREL PI of the data use and investigation objectives. This will ensure that you are using the data appropriately and have the most recent version of the data or analysis routines. Additionally, if a BARREL team member is already working on a similar or related topic, they may be able to contribute intellectually.\n* If BARREL team members are not part of the author list, then users should Credit/Acknowledge the BARREL team as follows: We acknowledge the BARREL team (PI: Robyn Millan) for use of BARREL data.\n* Users are also requested to provide the PI with a copy of each manuscript that uses BARREL data upon submission of that manuscript for consideration of publication. On publication, the citation should be transmitted to the PI.\n\nThe BARREL PI can be contacted at: Robyn.Millan@dartmouth.edu.\n\nAn online copy of the BARREL Data Usage Policy document can be found at: https://barrel.rmillan.host.dartmouth.edu/documents/data.use.policy.pdf.","distribution":[{"@type":"dcat:Distribution","downloadURL":"ftps://spdf.gsfc.nasa.gov/pub/data/barrel/l2/4h/ephem/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"http://relativisticballoons.blogspot.com","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://alexahalford.weebly.com/barrel-2013---2016.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://barrel.rmillan.host.dartmouth.edu/documents/data.use.policy.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://barrel.rmillan.host.dartmouth.edu/index.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://cdaweb.gsfc.nasa.gov/cgi-bin/eval2.cgi?dataset=BAR_4H_L2_EPHM&index=sp_phys","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://cdaweb.gsfc.nasa.gov/pub/data/barrel/Campaigns_and_launches.txt","format":"TXT","mediaType":"text/plain"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.1007/s11214-013-9971-z","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://github.com/PRBEM/IRBEM","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://helio.data.nasa.gov/dataset/BARREL_4H_Ephemeris_L2_PT4S","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://hpde.io/NASA/NumericalData/BARREL/4H/Ephemeris/L2/PT4S","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://prbem.github.io/IRBEM/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://spdf.gsfc.nasa.gov/pub/data/barrel/l2/4h/ephem/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.nasa.gov/mission-pages/rbsp/barrel/","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"https://doi.org/10.48322/es6y-6n86","keyword":["ephemeris","instrumentstatus"],"landingPage":"https://doi.org/10.48322/es6y-6n86","license":"https://www.usa.gov/government-works","modified":"2026-09-21","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"SPDF"},"theme":["Heliophysics"],"title":"BARREL 4H Ephemeris (EPHM) Geographic and Magnetic Coordinates, Level 2, 4 s Data"},"description":"Geographic and Magnetic Coordinates: The ephemeris data products, which include the balloon epoch time, latitude, longitude, and altitude, are each returned from the payload once every 4s. Geographic coordinates are obtained from an onboard Global Positioning System, GPS, unit. Magnetic coordinates are derived by using the International Radiation Belt Environment Modeling, IRBEM, FORTRAN library.\n\nThe BARREL Mission was a multiple-balloon investigation designed to study electron losses from Earth's Radiation Belts. Selected as a NASA Living with a Star Mission of Opportunity, BARREL was designed to augment the Radiation Belt Storm Probes, RBSP, mission by providing measurements of the spatial and temporal variations of electron precipitation from the radiation belts. The RBSP mission has since been renamed the Van Allen Probes mission. Each BARREL balloon carried an X-ray spectrometer to measure the bremsstrahlung X-rays produced by precipitating relativistic electrons as they collide with neutrals in the atmosphere, and a DC magnetometer to measure ULF-timescale variations of the magnetic field. BARREL observations collected near latitudes close to either the antarctic and arctic circles at stratospheric altitudes at about 30 km. The BARREL instrumentation provided the first balloon measurements of relativistic electron precipitation while comprehensive in situ measurements of both plasma waves and energetic particles were available. Also, the BARREL data has been used to characterize the spatial scale of precipitation at relativistic energies.\n\nThe initial pair of balloon campaigns that were conducted initially during the Austral summer months of January and February of 2013 and 2014 with launches from two stations located in Antarctica: the British base located at Halley Bay on the Brunt Ice Shelf and the South African SANAE IV base (SANAE stand for South African National Antarctic Expedition) located in Vesleskarvet, Queen Maud Land. For the 2013 and 2014 the balloon campaigns, the launch plan was designed to maintain an array with about five payloads spread across about six hours of magnetic local time, MLT, in the region that magnetically maps to the radiation belts. Thus, the BARREL balloon constellation constituted an evolving and slowly moving array able to study relativistic electron precipitation from the radiation belts.\n\nLater campaigns were undertaken in 2015 and 2016 from the Esrange Space Center located in Kiruna, Sweden. The 2015 and 2016 campaigns were undertaken in coordination with the Van Allen Probes mission, the European Incoherent Scatter Scientific Association, EISCAT, incoherent scatter radar system, and other ground and space based instruments. Seven balloon launches occurred during the August 2015 BARREL campaign. A total of eight flights occurred during August 2016.\n\nSumming over the four BARREL campaigns, over 50 small, approximately 20 kg, stratospheric balloons were successively launched. The website creeated and hosted by A.J. Halford (see Information URL below) reports that: \"By the end of the campaigns, there were over 90 researchers coordinating on a daily basis with the BARREL team working on 7 different satellite missions, 1 other balloon mission, and way too many ground based instruments to count.\" Although the BARREL mission launched only balloons during the years from 2013 to 2016, research using data collected on these flights is ongoing, so stay tuned for updates! All data and analysis software are freely available to the scientific community.\n\nThe information listed above in this resource description was compiled by referencing several BARREL related resources including primarily the Millan et al. (2013) Space Science Reviews publication, the BARREL at Dartmouth mission web site, and the website maintained by A.J. Halford.\n\nThe current release of all BARREL CDF data products are Version 10 files.\n\nBARREL will make all its scientific data products quickly and publicly available but all users are expected to read and follow the BARREL Data Usage Policy listed below.\n\nBARREL Data Usage Policy\n\nBARREL data products are made freely available to the public and every effort is made to ensure that these products are of the highest quality. However, there may occasionally be issues with either the instruments or data processing that affect the accuracy of data. When possible, a quality flag is included in higher level data products, and known issues are posted in the BARREL data repository. You are also strongly encouraged to follow the guidelines below if you are planning a publication or presentation in which BARREL data are used. This will help you ensure that your science results are valid.\n\n* Users should always use the highest version numbers of data and analysis tools. Browse/quick-look plots are not intended for science analysis or publication and should not be used for those purposes without consent of the principal investigator, PI.\n* Users should notify the BARREL PI of the data use and investigation objectives. This will ensure that you are using the data appropriately and have the most recent version of the data or analysis routines. Additionally, if a BARREL team member is already working on a similar or related topic, they may be able to contribute intellectually.\n* If BARREL team members are not part of the author list, then users should Credit/Acknowledge the BARREL team as follows: We acknowledge the BARREL team (PI: Robyn Millan) for use of BARREL data.\n* Users are also requested to provide the PI with a copy of each manuscript that uses BARREL data upon submission of that manuscript for consideration of publication. On publication, the citation should be transmitted to the PI.\n\nThe BARREL PI can be contacted at: Robyn.Millan@dartmouth.edu.\n\nAn online copy of the BARREL Data Usage Policy document can be found at: https://barrel.rmillan.host.dartmouth.edu/documents/data.use.policy.pdf.","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/61597fde-7c8d-4f4a-9acf-ff7c7eb49c30","harvest_record_raw":"https://catalog.data.gov/harvest_record/61597fde-7c8d-4f4a-9acf-ff7c7eb49c30/raw","has_download":true,"has_spatial":false,"identifier":"https://doi.org/10.48322/es6y-6n86","keyword":["ephemeris","instrumentstatus"],"last_harvested_date":"2026-09-23T00:56:07.285207","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":"SPDF","slug":"barrel-4h-ephemeris-ephm-geographic-and-magnetic-coordinates-level-2-4-s-data","spatial_centroid":null,"spatial_shape":null,"theme":["Heliophysics"],"title":"BARREL 4H Ephemeris (EPHM) Geographic and Magnetic Coordinates, Level 2, 4 s Data","type":"dataset"},{"_score":5.3802567,"_sort":[1790124959055,5.3802567,1,"e656bf0c-e41d-40ce-8491-1e94b513db3d"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Planetary Data System","hasEmail":"mailto:pds-operator@jpl.nasa.gov"},"description":"Geographic and Magnetic Coordinates: The ephemeris data products, which include the balloon epoch time, latitude, longitude, and altitude, are each returned from the payload once every 4s. Geographic coordinates are obtained from an onboard Global Positioning System, GPS, unit. Magnetic coordinates are derived by using the International Radiation Belt Environment Modeling, IRBEM, FORTRAN library.\n\nThe BARREL Mission was a multiple-balloon investigation designed to study electron losses from Earth's Radiation Belts. Selected as a NASA Living with a Star Mission of Opportunity, BARREL was designed to augment the Radiation Belt Storm Probes, RBSP, mission by providing measurements of the spatial and temporal variations of electron precipitation from the radiation belts. The RBSP mission has since been renamed the Van Allen Probes mission. Each BARREL balloon carried an X-ray spectrometer to measure the bremsstrahlung X-rays produced by precipitating relativistic electrons as they collide with neutrals in the atmosphere, and a DC magnetometer to measure ULF-timescale variations of the magnetic field. BARREL observations collected near latitudes close to either the antarctic and arctic circles at stratospheric altitudes at about 30 km. The BARREL instrumentation provided the first balloon measurements of relativistic electron precipitation while comprehensive in situ measurements of both plasma waves and energetic particles were available. Also, the BARREL data has been used to characterize the spatial scale of precipitation at relativistic energies.\n\nThe initial pair of balloon campaigns that were conducted initially during the Austral summer months of January and February of 2013 and 2014 with launches from two stations located in Antarctica: the British base located at Halley Bay on the Brunt Ice Shelf and the South African SANAE IV base (SANAE stand for South African National Antarctic Expedition) located in Vesleskarvet, Queen Maud Land. For the 2013 and 2014 the balloon campaigns, the launch plan was designed to maintain an array with about five payloads spread across about six hours of magnetic local time, MLT, in the region that magnetically maps to the radiation belts. Thus, the BARREL balloon constellation constituted an evolving and slowly moving array able to study relativistic electron precipitation from the radiation belts.\n\nLater campaigns were undertaken in 2015 and 2016 from the Esrange Space Center located in Kiruna, Sweden. The 2015 and 2016 campaigns were undertaken in coordination with the Van Allen Probes mission, the European Incoherent Scatter Scientific Association, EISCAT, incoherent scatter radar system, and other ground and space based instruments. Seven balloon launches occurred during the August 2015 BARREL campaign. A total of eight flights occurred during August 2016.\n\nSumming over the four BARREL campaigns, over 50 small, approximately 20 kg, stratospheric balloons were successively launched. The website creeated and hosted by A.J. Halford (see Information URL below) reports that: \"By the end of the campaigns, there were over 90 researchers coordinating on a daily basis with the BARREL team working on 7 different satellite missions, 1 other balloon mission, and way too many ground based instruments to count.\" Although the BARREL mission launched only balloons during the years from 2013 to 2016, research using data collected on these flights is ongoing, so stay tuned for updates! All data and analysis software are freely available to the scientific community.\n\nThe information listed above in this resource description was compiled by referencing several BARREL related resources including primarily the Millan et al. (2013) Space Science Reviews publication, the BARREL at Dartmouth mission web site, and the website maintained by A.J. Halford.\n\nThe current release of all BARREL CDF data products are Version 10 files.\n\nBARREL will make all its scientific data products quickly and publicly available but all users are expected to read and follow the BARREL Data Usage Policy listed below.\n\nBARREL Data Usage Policy\n\nBARREL data products are made freely available to the public and every effort is made to ensure that these products are of the highest quality. However, there may occasionally be issues with either the instruments or data processing that affect the accuracy of data. When possible, a quality flag is included in higher level data products, and known issues are posted in the BARREL data repository. You are also strongly encouraged to follow the guidelines below if you are planning a publication or presentation in which BARREL data are used. This will help you ensure that your science results are valid.\n\n* Users should always use the highest version numbers of data and analysis tools. Browse/quick-look plots are not intended for science analysis or publication and should not be used for those purposes without consent of the principal investigator, PI.\n* Users should notify the BARREL PI of the data use and investigation objectives. This will ensure that you are using the data appropriately and have the most recent version of the data or analysis routines. Additionally, if a BARREL team member is already working on a similar or related topic, they may be able to contribute intellectually.\n* If BARREL team members are not part of the author list, then users should Credit/Acknowledge the BARREL team as follows: We acknowledge the BARREL team (PI: Robyn Millan) for use of BARREL data.\n* Users are also requested to provide the PI with a copy of each manuscript that uses BARREL data upon submission of that manuscript for consideration of publication. On publication, the citation should be transmitted to the PI.\n\nThe BARREL PI can be contacted at: Robyn.Millan@dartmouth.edu.\n\nAn online copy of the BARREL Data Usage Policy document can be found at: https://barrel.rmillan.host.dartmouth.edu/documents/data.use.policy.pdf.","identifier":"https://doi.org/10.48322/hj7s-z115","keyword":["ephemeris","instrumentstatus"],"landingPage":"https://doi.org/10.48322/hj7s-z115","license":"https://www.usa.gov/government-works","modified":"2026-09-21","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"SPDF"},"theme":["Heliophysics"],"title":"BARREL 5A Ephemeris (EPHM) Geographic and Magnetic Coordinates, Level 2, 4 s Data"},"description":"Geographic and Magnetic Coordinates: The ephemeris data products, which include the balloon epoch time, latitude, longitude, and altitude, are each returned from the payload once every 4s. Geographic coordinates are obtained from an onboard Global Positioning System, GPS, unit. Magnetic coordinates are derived by using the International Radiation Belt Environment Modeling, IRBEM, FORTRAN library.\n\nThe BARREL Mission was a multiple-balloon investigation designed to study electron losses from Earth's Radiation Belts. Selected as a NASA Living with a Star Mission of Opportunity, BARREL was designed to augment the Radiation Belt Storm Probes, RBSP, mission by providing measurements of the spatial and temporal variations of electron precipitation from the radiation belts. The RBSP mission has since been renamed the Van Allen Probes mission. Each BARREL balloon carried an X-ray spectrometer to measure the bremsstrahlung X-rays produced by precipitating relativistic electrons as they collide with neutrals in the atmosphere, and a DC magnetometer to measure ULF-timescale variations of the magnetic field. BARREL observations collected near latitudes close to either the antarctic and arctic circles at stratospheric altitudes at about 30 km. The BARREL instrumentation provided the first balloon measurements of relativistic electron precipitation while comprehensive in situ measurements of both plasma waves and energetic particles were available. Also, the BARREL data has been used to characterize the spatial scale of precipitation at relativistic energies.\n\nThe initial pair of balloon campaigns that were conducted initially during the Austral summer months of January and February of 2013 and 2014 with launches from two stations located in Antarctica: the British base located at Halley Bay on the Brunt Ice Shelf and the South African SANAE IV base (SANAE stand for South African National Antarctic Expedition) located in Vesleskarvet, Queen Maud Land. For the 2013 and 2014 the balloon campaigns, the launch plan was designed to maintain an array with about five payloads spread across about six hours of magnetic local time, MLT, in the region that magnetically maps to the radiation belts. Thus, the BARREL balloon constellation constituted an evolving and slowly moving array able to study relativistic electron precipitation from the radiation belts.\n\nLater campaigns were undertaken in 2015 and 2016 from the Esrange Space Center located in Kiruna, Sweden. The 2015 and 2016 campaigns were undertaken in coordination with the Van Allen Probes mission, the European Incoherent Scatter Scientific Association, EISCAT, incoherent scatter radar system, and other ground and space based instruments. Seven balloon launches occurred during the August 2015 BARREL campaign. A total of eight flights occurred during August 2016.\n\nSumming over the four BARREL campaigns, over 50 small, approximately 20 kg, stratospheric balloons were successively launched. The website creeated and hosted by A.J. Halford (see Information URL below) reports that: \"By the end of the campaigns, there were over 90 researchers coordinating on a daily basis with the BARREL team working on 7 different satellite missions, 1 other balloon mission, and way too many ground based instruments to count.\" Although the BARREL mission launched only balloons during the years from 2013 to 2016, research using data collected on these flights is ongoing, so stay tuned for updates! All data and analysis software are freely available to the scientific community.\n\nThe information listed above in this resource description was compiled by referencing several BARREL related resources including primarily the Millan et al. (2013) Space Science Reviews publication, the BARREL at Dartmouth mission web site, and the website maintained by A.J. Halford.\n\nThe current release of all BARREL CDF data products are Version 10 files.\n\nBARREL will make all its scientific data products quickly and publicly available but all users are expected to read and follow the BARREL Data Usage Policy listed below.\n\nBARREL Data Usage Policy\n\nBARREL data products are made freely available to the public and every effort is made to ensure that these products are of the highest quality. However, there may occasionally be issues with either the instruments or data processing that affect the accuracy of data. When possible, a quality flag is included in higher level data products, and known issues are posted in the BARREL data repository. You are also strongly encouraged to follow the guidelines below if you are planning a publication or presentation in which BARREL data are used. This will help you ensure that your science results are valid.\n\n* Users should always use the highest version numbers of data and analysis tools. Browse/quick-look plots are not intended for science analysis or publication and should not be used for those purposes without consent of the principal investigator, PI.\n* Users should notify the BARREL PI of the data use and investigation objectives. This will ensure that you are using the data appropriately and have the most recent version of the data or analysis routines. Additionally, if a BARREL team member is already working on a similar or related topic, they may be able to contribute intellectually.\n* If BARREL team members are not part of the author list, then users should Credit/Acknowledge the BARREL team as follows: We acknowledge the BARREL team (PI: Robyn Millan) for use of BARREL data.\n* Users are also requested to provide the PI with a copy of each manuscript that uses BARREL data upon submission of that manuscript for consideration of publication. On publication, the citation should be transmitted to the PI.\n\nThe BARREL PI can be contacted at: Robyn.Millan@dartmouth.edu.\n\nAn online copy of the BARREL Data Usage Policy document can be found at: https://barrel.rmillan.host.dartmouth.edu/documents/data.use.policy.pdf.","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/2175b4a6-28a8-46e1-9766-ea71af684e4c","harvest_record_raw":"https://catalog.data.gov/harvest_record/2175b4a6-28a8-46e1-9766-ea71af684e4c/raw","has_download":false,"has_spatial":false,"identifier":"https://doi.org/10.48322/hj7s-z115","keyword":["ephemeris","instrumentstatus"],"last_harvested_date":"2026-09-23T00:55:59.055697","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":"SPDF","slug":"barrel-5a-ephemeris-ephm-geographic-and-magnetic-coordinates-level-2-4-s-data","spatial_centroid":null,"spatial_shape":null,"theme":["Heliophysics"],"title":"BARREL 5A Ephemeris (EPHM) Geographic and Magnetic Coordinates, Level 2, 4 s Data","type":"dataset"},{"_score":16.23452,"_sort":[1790124958666,16.23452,2,"974712b7-38fc-487d-8405-f5dc82c7b172"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"IRSA Support","hasEmail":"mailto:irsasupport@ipac.caltech.edu"},"description":"COSMOS is an astronomical survey designed to probe the formation and evolution of galaxies as a function of cosmic time (redshift) and large scale structural environment. The survey covers a 2 square degree equatorial field with imaging by most of the major space-based telescopes (Hubble, Spitzer, GALEX, XMM, Chandra) and a number of large ground based telescopes (Subaru, VLA, ESO-VLT, UKIRT, NOAO, CFHT, and others). Over 2 million galaxies are detected, spanning 75% of the age of the universe.\\n\\nThe COSMOS Tasca Morphology Catalog includes morphological parameters computed using Morpheus 2005. Morphological types are estimated in three different ways; for more details see Tasca et al. (2009).","distribution":[{"@type":"dcat:Distribution","downloadURL":"https://irsa.ipac.caltech.edu/SCS?table=cosmos_morph_tasca_1_1&","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://irsa.ipac.caltech.edu/data/COSMOS/gator_docs/cosmos_morph_tasca_colDescriptions.html","format":"HTML","mediaType":"text/html"}],"identifier":"ivo://irsa.ipac/cosmos/catalog/cosmosmorphtasca","keyword":["__"],"landingPage":"ivo://irsa.ipac/cosmos/catalog/cosmosmorphtasca","license":"https://www.usa.gov/government-works","modified":"2026-09-21","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/IPAC Infrared Science Archive"},"theme":["Astrophysics"],"title":"COSMOS Tasca Morphology Catalog"},"description":"COSMOS is an astronomical survey designed to probe the formation and evolution of galaxies as a function of cosmic time (redshift) and large scale structural environment. The survey covers a 2 square degree equatorial field with imaging by most of the major space-based telescopes (Hubble, Spitzer, GALEX, XMM, Chandra) and a number of large ground based telescopes (Subaru, VLA, ESO-VLT, UKIRT, NOAO, CFHT, and others). Over 2 million galaxies are detected, spanning 75% of the age of the universe.\\n\\nThe COSMOS Tasca Morphology Catalog includes morphological parameters computed using Morpheus 2005. Morphological types are estimated in three different ways; for more details see Tasca et al. (2009).","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/c8a309bf-dddf-46f6-a0ad-ba9d7222ce9d","harvest_record_raw":"https://catalog.data.gov/harvest_record/c8a309bf-dddf-46f6-a0ad-ba9d7222ce9d/raw","has_download":true,"has_spatial":false,"identifier":"ivo://irsa.ipac/cosmos/catalog/cosmosmorphtasca","keyword":["__"],"last_harvested_date":"2026-09-23T00:55:58.666943","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/IPAC Infrared Science Archive","slug":"cosmos-tasca-morphology-catalog","spatial_centroid":null,"spatial_shape":null,"theme":["Astrophysics"],"title":"COSMOS Tasca Morphology Catalog","type":"dataset"},{"_score":23.636791,"_sort":[1790124955619,23.636791,1,"256f5d6d-6c4e-49df-9952-907772f8e61d"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Planetary Data System","hasEmail":"mailto:pds-operator@jpl.nasa.gov"},"description":"This data set contains count rates (1/s) as measured by the Standard Radiation Environment Monitor (SREM) instrument on the Rosetta spacecraft, along with their standard deviations. These are CODMAC Level 2 Experiment Data Record data, and provide a measure of the radiation in the spacecraft environment during the EARTH 3 mission phase.","identifier":"urn:nasa:pds:context_pds3:data_set:data_set.ro-x-srem-2-ear3-v1.0;urn:nasa:pds:context_pds3:data_set:data_set.ro-x-srem-2-ear3-v1.0::1.0","keyword":["__"],"license":"https://www.usa.gov/government-works","modified":"2026-09-21","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"Small Bodies"},"theme":["Planetary Science"],"title":"ROSETTA-ORBITER X SREM 2 EARTH 3 V1.0"},"description":"This data set contains count rates (1/s) as measured by the Standard Radiation Environment Monitor (SREM) instrument on the Rosetta spacecraft, along with their standard deviations. These are CODMAC Level 2 Experiment Data Record data, and provide a measure of the radiation in the spacecraft environment during the EARTH 3 mission phase.","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/61e6423b-cdf5-4ee6-9f6b-9c97b969d975","harvest_record_raw":"https://catalog.data.gov/harvest_record/61e6423b-cdf5-4ee6-9f6b-9c97b969d975/raw","has_download":false,"has_spatial":false,"identifier":"urn:nasa:pds:context_pds3:data_set:data_set.ro-x-srem-2-ear3-v1.0;urn:nasa:pds:context_pds3:data_set:data_set.ro-x-srem-2-ear3-v1.0::1.0","keyword":["__"],"last_harvested_date":"2026-09-23T00:55:55.619124","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":"Small Bodies","slug":"rosetta-orbiter-x-srem-2-earth-3-v1-0-bff08","spatial_centroid":null,"spatial_shape":null,"theme":["Planetary Science"],"title":"ROSETTA-ORBITER X SREM 2 EARTH 3 V1.0","type":"dataset"},{"_score":13.999416,"_sort":[1790124955425,13.999416,3,"4e3aadeb-37d4-440d-8eb4-6b0caab4d425"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"IRSA Support","hasEmail":"mailto:irsasupport@ipac.caltech.edu"},"description":"COSMOS is an astronomical survey designed to probe the formation and evolution of galaxies as a function of cosmic time (redshift) and large scale structural environment. The survey covers a 2 square degree equatorial field with imaging by most of the major space-based telescopes (Hubble, Spitzer, GALEX, XMM, Chandra) and a number of large ground based telescopes (Subaru, VLA, ESO-VLT, UKIRT, NOAO, CFHT, and others). Over 2 million galaxies are detected, spanning 75% of the age of the universe.\\n\\nThis is version 2.1 of the C-COSMOS Bright Source Catalog which consists of 1761 sources detected at uniform confidence in the 0.5 - 7 keV band of the Chandra-COSMOS survey. Details of the survey and initial results are found in the C-COSMOS catalog paper (Elvis et al. 2009, Paper I). The methods used to detect sources and generate the catalog are described in detail in Puccetti et al. 2009 (Paper II). Nearly 100%-complete multiwavelength source identification is discussed in Civano et al. 2009 (Paper III).","distribution":[{"@type":"dcat:Distribution","downloadURL":"https://irsa.ipac.caltech.edu/SCS?table=cosmos_chandra_bsc21&","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://irsa.ipac.caltech.edu/data/COSMOS/gator_docs/cosmos_morph_cassata_colDescriptions.html","format":"HTML","mediaType":"text/html"}],"identifier":"ivo://irsa.ipac/cosmos/catalog/ccosmos-bsc","keyword":["__"],"landingPage":"ivo://irsa.ipac/cosmos/catalog/ccosmos-bsc","license":"https://www.usa.gov/government-works","modified":"2026-09-21","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/IPAC Infrared Science Archive"},"theme":["Astrophysics"],"title":"Chandra-COSMOS Bright Source Catalog"},"description":"COSMOS is an astronomical survey designed to probe the formation and evolution of galaxies as a function of cosmic time (redshift) and large scale structural environment. The survey covers a 2 square degree equatorial field with imaging by most of the major space-based telescopes (Hubble, Spitzer, GALEX, XMM, Chandra) and a number of large ground based telescopes (Subaru, VLA, ESO-VLT, UKIRT, NOAO, CFHT, and others). Over 2 million galaxies are detected, spanning 75% of the age of the universe.\\n\\nThis is version 2.1 of the C-COSMOS Bright Source Catalog which consists of 1761 sources detected at uniform confidence in the 0.5 - 7 keV band of the Chandra-COSMOS survey. Details of the survey and initial results are found in the C-COSMOS catalog paper (Elvis et al. 2009, Paper I). The methods used to detect sources and generate the catalog are described in detail in Puccetti et al. 2009 (Paper II). Nearly 100%-complete multiwavelength source identification is discussed in Civano et al. 2009 (Paper III).","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/830dee3b-b9f6-42c2-a40e-d90f13f5c07f","harvest_record_raw":"https://catalog.data.gov/harvest_record/830dee3b-b9f6-42c2-a40e-d90f13f5c07f/raw","has_download":true,"has_spatial":false,"identifier":"ivo://irsa.ipac/cosmos/catalog/ccosmos-bsc","keyword":["__"],"last_harvested_date":"2026-09-23T00:55:55.425380","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/IPAC Infrared Science Archive","slug":"chandra-cosmos-bright-source-catalog","spatial_centroid":null,"spatial_shape":null,"theme":["Astrophysics"],"title":"Chandra-COSMOS Bright Source Catalog","type":"dataset"},{"_score":14.864946,"_sort":[1790124954999,14.864946,3,"30b6b905-c6fb-4cbb-ae71-98be55f05058"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"HEASARC Help Desk","hasEmail":"mailto:andrew.ptak@nasa.gov"},"description":"The Galactic centre (GC) provides a unique laboratory for a detailed examination of the interplay between massive star formation and the nuclear environment of our Galaxy. Here are presented some of the results from a 100-ks Chandra Advanced CCD Imaging Spectrometer (ACIS) observation of the Arches and Quintuplet star clusters in the form of a catalog of 244 point-like X-ray sources detected in the observation. The deep Chandra ACIS-I observation (Obs. ID: 4500) was carried out on 2004 June 9. The Arches cluster was placed about 1-arcmin away from the aim point to minimize the effect of the CCD gaps on mapping the extended X-ray emission around the cluster. This table was created by the HEASARC in July 2007 based on <a href=\"https://cdsarc.cds.unistra.fr/ftp/cats/J/MNRAS/371/38\">CDS Catalog J/MNRAS/371/38</a> file table1.dat. This is a service provided by NASA HEASARC .","distribution":[{"@type":"dcat:Distribution","downloadURL":"https://heasarc.gsfc.nasa.gov/W3Browse/all/arcquincxo.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://heasarc.gsfc.nasa.gov/xamin/vo/cone?showoffsets&table=arcquincxo&","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"ivo://nasa.heasarc/arcquincxo","keyword":["__"],"landingPage":"ivo://nasa.heasarc/arcquincxo","license":"https://www.usa.gov/government-works","modified":"2026-09-21","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"High Energy Astrophysics Science Archive Research Center"},"theme":["Astrophysics"],"title":"Arches and Quintuplet Clusters Chandra X-Ray Point Source Catalog"},"description":"The Galactic centre (GC) provides a unique laboratory for a detailed examination of the interplay between massive star formation and the nuclear environment of our Galaxy. Here are presented some of the results from a 100-ks Chandra Advanced CCD Imaging Spectrometer (ACIS) observation of the Arches and Quintuplet star clusters in the form of a catalog of 244 point-like X-ray sources detected in the observation. The deep Chandra ACIS-I observation (Obs. ID: 4500) was carried out on 2004 June 9. The Arches cluster was placed about 1-arcmin away from the aim point to minimize the effect of the CCD gaps on mapping the extended X-ray emission around the cluster. This table was created by the HEASARC in July 2007 based on <a href=\"https://cdsarc.cds.unistra.fr/ftp/cats/J/MNRAS/371/38\">CDS Catalog J/MNRAS/371/38</a> file table1.dat. This is a service provided by NASA HEASARC .","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/ba1cb946-6151-4597-8818-db5fc3a7ac02","harvest_record_raw":"https://catalog.data.gov/harvest_record/ba1cb946-6151-4597-8818-db5fc3a7ac02/raw","has_download":true,"has_spatial":false,"identifier":"ivo://nasa.heasarc/arcquincxo","keyword":["__"],"last_harvested_date":"2026-09-23T00:55:54.999577","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":"High Energy Astrophysics Science Archive Research Center","slug":"arches-and-quintuplet-clusters-chandra-x-ray-point-source-catalog","spatial_centroid":null,"spatial_shape":null,"theme":["Astrophysics"],"title":"Arches and Quintuplet Clusters Chandra X-Ray Point Source Catalog","type":"dataset"},{"_score":15.517697,"_sort":[1790124952772,15.517697,4,"8f9c8e50-577a-495f-9ad6-227d21107bd0"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"IRSA Support","hasEmail":"mailto:irsasupport@ipac.caltech.edu"},"description":"The Spitzer Wide-area InfraRed Extragalactic survey (SWIRE), the largest Spitzer Legacy program, is a wide-area, imaging survey to trace the evolution of dusty, star-forming galaxies, evolved stellar populations, and AGN as a function of environment, from redshifts z~3 to the current epoch. SWIRE surveys 6 high-latitude fields, totaling ~50 sq. deg. in all 7 Spitzer bands: 3.6, 4.5, 5.8, and 8 microns with IRAC and 24, 70, and 160 microns with MIPS (Lonsdale et al. 2003). The SWIRE Legacy Extragalactic Source Catalogs will eventually contain in excess of 2 million IR-selected galaxies, from those dominated by the light of stellar populations detected primarily by IRAC, to starbursts, ultra-luminous infrared galaxies and AGN detected also by MIPS.","distribution":[{"@type":"dcat:Distribution","downloadURL":"https://irsa.ipac.caltech.edu/SCS?table=lockman_160_cat_s05&","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://irsa.ipac.caltech.edu/data/SPITZER/SWIRE/SWIRE_Ge_columns.html","format":"HTML","mediaType":"text/html"}],"identifier":"ivo://irsa.ipac/spitzer/catalog/swire/swire-lhm160","keyword":["__"],"landingPage":"ivo://irsa.ipac/spitzer/catalog/swire/swire-lhm160","license":"https://www.usa.gov/government-works","modified":"2026-09-21","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/IPAC Infrared Science Archive"},"theme":["Astrophysics"],"title":"Spitzer Wide-area InfraRed Extragalactic Survey Lockman Hole MIPS 160 micron Catalog"},"description":"The Spitzer Wide-area InfraRed Extragalactic survey (SWIRE), the largest Spitzer Legacy program, is a wide-area, imaging survey to trace the evolution of dusty, star-forming galaxies, evolved stellar populations, and AGN as a function of environment, from redshifts z~3 to the current epoch. SWIRE surveys 6 high-latitude fields, totaling ~50 sq. deg. in all 7 Spitzer bands: 3.6, 4.5, 5.8, and 8 microns with IRAC and 24, 70, and 160 microns with MIPS (Lonsdale et al. 2003). The SWIRE Legacy Extragalactic Source Catalogs will eventually contain in excess of 2 million IR-selected galaxies, from those dominated by the light of stellar populations detected primarily by IRAC, to starbursts, ultra-luminous infrared galaxies and AGN detected also by MIPS.","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/627cd575-b093-4c1d-a0a7-00b38b7ab699","harvest_record_raw":"https://catalog.data.gov/harvest_record/627cd575-b093-4c1d-a0a7-00b38b7ab699/raw","has_download":true,"has_spatial":false,"identifier":"ivo://irsa.ipac/spitzer/catalog/swire/swire-lhm160","keyword":["__"],"last_harvested_date":"2026-09-23T00:55:52.772694","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/IPAC Infrared Science Archive","slug":"spitzer-wide-area-infrared-extragalactic-survey-lockman-hole-mips-160-micron-catalog","spatial_centroid":null,"spatial_shape":null,"theme":["Astrophysics"],"title":"Spitzer Wide-area InfraRed Extragalactic Survey Lockman Hole MIPS 160 micron Catalog","type":"dataset"},{"_score":12.140148,"_sort":[1790124940055,12.140148,2,"fe3b391f-4f9b-4099-a4da-34c9c25f8b44"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"NASA Space Physics Data Facility","hasEmail":"mailto:NASA-SPDF-Support@nasa.onmicrosoft.com"},"description":"The Electron Drift Instrument (EDI) data products from the Cluster spacecraft in three main categories: (1) Electron enegergies measured between 0.5 and 1.0 keV for the Windshield Wiper mode: time series of the three components of the electron drift velocity and of the three components of the electric field in Cartesian GSE coordinate system (corrected for spacecraft motion) with different qualities and time resolution at 1-4 sec (PP, PPP, MPD); (2) Ambient electron measurements at fixed enegeris of 0.5 or 1.0 keV: time series of electron counts normally at 16 ms for the three pitch angles 0 deg, 90 deg, 180 deg, the detector look direction in the spacecraft frame and in GSE and the status for AE mode; and (3) Overview plot of the main parameters for both modes for every 3 h for one reference spacecraft (usually Cluster III). Besides the main products, there also are raw data and auxiliary data. Raw data consist of merged science files (MSF) that are obtained by merging the housekeeping and science (burst (BM) and normal (NM) mode) telemetry files. They are in binary format. Auxiliary are either data used internally by the main data production software or data dedicated to intercalibration or time-interval lists of the EDI operation modes. For more details, see \"The Cluster Active Archive: Studying the Earth's Space Plasma Environment\", edited by Dr. Harri Laakso, Matthew G. T. T. Taylor, C. Philippe Escoubet, from which this information was obtained.","distribution":[{"@type":"dcat:Distribution","downloadURL":"https://helio.data.nasa.gov/dataset/Cluster-Rumba_EDI_CSA_PT0.0625S","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://hpde.io/NASA/NumericalData/Cluster-Rumba/EDI/CSA/PT0.0625S","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://nssdc.gsfc.nasa.gov/nmc/experiment/display.action?id=2000-045A-03","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.cosmos.esa.int/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.cosmos.esa.int/?project=CLUSTER&page=caa_documentation","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"https://doi.org/10.48322/yhj0-qz98","keyword":["electricfield"],"landingPage":"https://doi.org/10.48322/yhj0-qz98","license":"https://www.usa.gov/government-works","modified":"2026-09-21","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"CSA"},"theme":["Heliophysics"],"title":"Cluster-Rumba Electron Drift Instrument (EDI) Data at the ESA Cluster Science Archive"},"description":"The Electron Drift Instrument (EDI) data products from the Cluster spacecraft in three main categories: (1) Electron enegergies measured between 0.5 and 1.0 keV for the Windshield Wiper mode: time series of the three components of the electron drift velocity and of the three components of the electric field in Cartesian GSE coordinate system (corrected for spacecraft motion) with different qualities and time resolution at 1-4 sec (PP, PPP, MPD); (2) Ambient electron measurements at fixed enegeris of 0.5 or 1.0 keV: time series of electron counts normally at 16 ms for the three pitch angles 0 deg, 90 deg, 180 deg, the detector look direction in the spacecraft frame and in GSE and the status for AE mode; and (3) Overview plot of the main parameters for both modes for every 3 h for one reference spacecraft (usually Cluster III). Besides the main products, there also are raw data and auxiliary data. Raw data consist of merged science files (MSF) that are obtained by merging the housekeeping and science (burst (BM) and normal (NM) mode) telemetry files. They are in binary format. Auxiliary are either data used internally by the main data production software or data dedicated to intercalibration or time-interval lists of the EDI operation modes. For more details, see \"The Cluster Active Archive: Studying the Earth's Space Plasma Environment\", edited by Dr. Harri Laakso, Matthew G. T. T. Taylor, C. Philippe Escoubet, from which this information was obtained.","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/faae05e3-144d-44c9-9035-2bea67b0b337","harvest_record_raw":"https://catalog.data.gov/harvest_record/faae05e3-144d-44c9-9035-2bea67b0b337/raw","has_download":true,"has_spatial":false,"identifier":"https://doi.org/10.48322/yhj0-qz98","keyword":["electricfield"],"last_harvested_date":"2026-09-23T00:55:40.055946","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":"CSA","slug":"cluster-rumba-electron-drift-instrument-edi-data-at-the-esa-cluster-science-archive","spatial_centroid":null,"spatial_shape":null,"theme":["Heliophysics"],"title":"Cluster-Rumba Electron Drift Instrument (EDI) Data at the ESA Cluster Science Archive","type":"dataset"},{"_score":12.140148,"_sort":[1790124934235,12.140148,1,"368cb76e-a5bb-4a22-af91-50129c83c7b6"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"NASA Space Physics Data Facility","hasEmail":"mailto:NASA-SPDF-Support@nasa.onmicrosoft.com"},"description":"The Electron Drift Instrument (EDI) data products from the Cluster spacecraft in three main categories: (1) Electron enegergies measured between 0.5 and 1.0 keV for the Windshield Wiper mode: time series of the three components of the electron drift velocity and of the three components of the electric field in Cartesian GSE coordinate system (corrected for spacecraft motion) with different qualities and time resolution at 1-4 sec (PP, PPP, MPD); (2) Ambient electron measurements at fixed enegeris of 0.5 or 1.0 keV: time series of electron counts normally at 16 ms for the three pitch angles 0 deg, 90 deg, 180 deg, the detector look direction in the spacecraft frame and in GSE and the status for AE mode; and (3) Overview plot of the main parameters for both modes for every 3 h for one reference spacecraft (usually Cluster III). Besides the main products, there also are raw data and auxiliary data. Raw data consist of merged science files (MSF) that are obtained by merging the housekeeping and science (burst (BM) and normal (NM) mode) telemetry files. They are in binary format. Auxiliary are either data used internally by the main data production software or data dedicated to intercalibration or time-interval lists of the EDI operation modes. For more details, see \"The Cluster Active Archive: Studying the Earth's Space Plasma Environment\", edited by Dr. Harri Laakso, Matthew G. T. T. Taylor, C. Philippe Escoubet, from which this information was obtained.","distribution":[{"@type":"dcat:Distribution","downloadURL":"https://helio.data.nasa.gov/dataset/Cluster-Salsa_EDI_CSA_PT0.016S","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://hpde.io/NASA/NumericalData/Cluster-Salsa/EDI/CSA/PT0.016S","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://nssdc.gsfc.nasa.gov/nmc/experiment/display.action?id=2000-041B-03","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.cosmos.esa.int/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.cosmos.esa.int/?project=CLUSTER&page=caa_documentation","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"https://doi.org/10.48322/1cyr-x753","keyword":["electricfield"],"landingPage":"https://doi.org/10.48322/1cyr-x753","license":"https://www.usa.gov/government-works","modified":"2026-09-21","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"CSA"},"theme":["Heliophysics"],"title":"Cluster-Salsa Electron Drift Instrument (EDI) Data at the ESA Cluster Science Archive"},"description":"The Electron Drift Instrument (EDI) data products from the Cluster spacecraft in three main categories: (1) Electron enegergies measured between 0.5 and 1.0 keV for the Windshield Wiper mode: time series of the three components of the electron drift velocity and of the three components of the electric field in Cartesian GSE coordinate system (corrected for spacecraft motion) with different qualities and time resolution at 1-4 sec (PP, PPP, MPD); (2) Ambient electron measurements at fixed enegeris of 0.5 or 1.0 keV: time series of electron counts normally at 16 ms for the three pitch angles 0 deg, 90 deg, 180 deg, the detector look direction in the spacecraft frame and in GSE and the status for AE mode; and (3) Overview plot of the main parameters for both modes for every 3 h for one reference spacecraft (usually Cluster III). Besides the main products, there also are raw data and auxiliary data. Raw data consist of merged science files (MSF) that are obtained by merging the housekeeping and science (burst (BM) and normal (NM) mode) telemetry files. They are in binary format. Auxiliary are either data used internally by the main data production software or data dedicated to intercalibration or time-interval lists of the EDI operation modes. For more details, see \"The Cluster Active Archive: Studying the Earth's Space Plasma Environment\", edited by Dr. Harri Laakso, Matthew G. T. T. Taylor, C. Philippe Escoubet, from which this information was obtained.","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/195cb0af-f21f-49e5-9581-7bbdcceb37fc","harvest_record_raw":"https://catalog.data.gov/harvest_record/195cb0af-f21f-49e5-9581-7bbdcceb37fc/raw","has_download":true,"has_spatial":false,"identifier":"https://doi.org/10.48322/1cyr-x753","keyword":["electricfield"],"last_harvested_date":"2026-09-23T00:55:34.235473","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":"CSA","slug":"cluster-salsa-electron-drift-instrument-edi-data-at-the-esa-cluster-science-archive","spatial_centroid":null,"spatial_shape":null,"theme":["Heliophysics"],"title":"Cluster-Salsa Electron Drift Instrument (EDI) Data at the ESA Cluster Science Archive","type":"dataset"},{"_score":12.097143,"_sort":[1790124933825,12.097143,1,"bb617d8f-12c5-44a8-9481-082effa5164b"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"NASA Space Physics Data Facility","hasEmail":"mailto:NASA-SPDF-Support@nasa.onmicrosoft.com"},"description":"The Electron Drift Instrument (EDI) data products from the Cluster spacecraft in three main categories: (1) Electron enegergies measured between 0.5 and 1.0 keV for the Windshield Wiper mode: time series of the three components of the electron drift velocity and of the three components of the electric field in Cartesian GSE coordinate system (corrected for spacecraft motion) with different qualities and time resolution at 1-4 sec (PP, PPP, MPD); (2) Ambient electron measurements at fixed enegeris of 0.5 or 1.0 keV: time series of electron counts normally at 16 ms for the three pitch angles 0 deg, 90 deg, 180 deg, the detector look direction in the spacecraft frame and in GSE and the status for AE mode; and (3) Overview plot of the main parameters for both modes for every 3 h for one reference spacecraft (usually Cluster III). Besides the main products, there also are raw data and auxiliary data. Raw data consist of merged science files (MSF) that are obtained by merging the housekeeping and science (burst (BM) and normal (NM) mode) telemetry files. They are in binary format. Auxiliary are either data used internally by the main data production software or data dedicated to intercalibration or time-interval lists of the EDI operation modes. For more details, see \"The Cluster Active Archive: Studying the Earth's Space Plasma Environment\", edited by Dr. Harri Laakso, Matthew G. T. T. Taylor, C. Philippe Escoubet, from which this information was obtained.","distribution":[{"@type":"dcat:Distribution","downloadURL":"https://helio.data.nasa.gov/dataset/Cluster-Tango_EDI_CSA_PT0.0625S","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://hpde.io/NASA/NumericalData/Cluster-Tango/EDI/CSA/PT0.0625S","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://nssdc.gsfc.nasa.gov/nmc/experiment/display.action?id=2000-045B-03","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.cosmos.esa.int/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.cosmos.esa.int/?project=CLUSTER&page=caa_documentation","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"https://doi.org/10.48322/sw7q-1m23","keyword":["electricfield"],"landingPage":"https://doi.org/10.48322/sw7q-1m23","license":"https://www.usa.gov/government-works","modified":"2026-09-21","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"CSA"},"theme":["Heliophysics"],"title":"Cluster-Tango Electron Drift Instrument (EDI) Data at the ESA Cluster Science Archive"},"description":"The Electron Drift Instrument (EDI) data products from the Cluster spacecraft in three main categories: (1) Electron enegergies measured between 0.5 and 1.0 keV for the Windshield Wiper mode: time series of the three components of the electron drift velocity and of the three components of the electric field in Cartesian GSE coordinate system (corrected for spacecraft motion) with different qualities and time resolution at 1-4 sec (PP, PPP, MPD); (2) Ambient electron measurements at fixed enegeris of 0.5 or 1.0 keV: time series of electron counts normally at 16 ms for the three pitch angles 0 deg, 90 deg, 180 deg, the detector look direction in the spacecraft frame and in GSE and the status for AE mode; and (3) Overview plot of the main parameters for both modes for every 3 h for one reference spacecraft (usually Cluster III). Besides the main products, there also are raw data and auxiliary data. Raw data consist of merged science files (MSF) that are obtained by merging the housekeeping and science (burst (BM) and normal (NM) mode) telemetry files. They are in binary format. Auxiliary are either data used internally by the main data production software or data dedicated to intercalibration or time-interval lists of the EDI operation modes. For more details, see \"The Cluster Active Archive: Studying the Earth's Space Plasma Environment\", edited by Dr. Harri Laakso, Matthew G. T. T. Taylor, C. Philippe Escoubet, from which this information was obtained.","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/9303469a-1854-4008-b46c-53b4a4b69651","harvest_record_raw":"https://catalog.data.gov/harvest_record/9303469a-1854-4008-b46c-53b4a4b69651/raw","has_download":true,"has_spatial":false,"identifier":"https://doi.org/10.48322/sw7q-1m23","keyword":["electricfield"],"last_harvested_date":"2026-09-23T00:55:33.825292","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":"CSA","slug":"cluster-tango-electron-drift-instrument-edi-data-at-the-esa-cluster-science-archive","spatial_centroid":null,"spatial_shape":null,"theme":["Heliophysics"],"title":"Cluster-Tango Electron Drift Instrument (EDI) Data at the ESA Cluster Science Archive","type":"dataset"},{"_score":9.124109,"_sort":[1790124930299,9.124109,1,"f5329929-97ec-4a83-af3c-51c426966377"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"HEASARC Help Desk","hasEmail":"mailto:andrew.ptak@nasa.gov"},"description":"The XMM Large Scale Structure survey (XMM-LSS) is an X-ray survey aimed at studying the large scale structure of the Universe. The XMM-LSS field (centered at RA (J2000) = 02<sup>h</sup> 24<sup>m</sup> 00.27<sup>s</sup>, Dec (J2000) = -04<sup>o</sup> 09' 47.6") is currently being followed up using observations across a wide range of wavelengths, and in their paper the authors present the observational results of a low frequency radio survey of the XMM-LSS field using the Very Large Array at 74 and 325 MHz. This survey will map out the locations of the extragalactic radio sources relative to the large scale structure as traced by the X-ray emission. This is of particular interest because radio galaxies and radio-loud AGN show strong and complex interactions with their small and larger scale environment, and different classes of radio galaxies are suggested to lie at different places with respect to the large scale structure. For the phase calibration of the radio data, the authors used standard self-calibration at 325 MHz and field-base calibration at 74 MHz. Polyhedron-based imaging as well as mosaicking methods were used at both frequencies. At 74 MHz, the resolution was 30 arcseconds, the median 5-sigma sensitivity was ~ 162 mJy/beam and 666 sources were detected over an area of 132 square degrees. At 325 MHz, the resolution was 6.7 arcseconds, the median 5-sigma sensitivity was 4 mJy/beam, and 847 sources were detected over an area of 15.3 square degrees. At 325 MHz, a region of diffuse radio emission which is a cluster halo or relic candidate was detected. The observations were conducted using the VLA in July 2003 in the A-configuration (most extended) and in June 2002 in the B-configuration. This table contains the VLA 325-MHz source list, comprising 605 single sources and 615 components of 237 multiple sources, for a total of 1220 entries. (Notice that, in Section 4.1 of the reference paper, somewhat different numbers are given, i.e., the authors quote 621 single sources and 226 multiple sources). For the multiple sources, each component (A, B, etc.) is listed separately, in order of decreasing brightness. This table was created by the HEASARC in March 2012 based on <a href=\"https://cdsarc.cds.unistra.fr/ftp/cats/J/A+A/456/791\">CDS Catalog J/A+A/456/791</a> file tablea1.dat. This is a service provided by NASA HEASARC .","distribution":[{"@type":"dcat:Distribution","downloadURL":"https://heasarc.gsfc.nasa.gov/W3Browse/all/vlaxl325mh.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://heasarc.gsfc.nasa.gov/xamin/vo/cone?showoffsets&table=vlaxl325mh&","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"ivo://nasa.heasarc/vlaxl325mh","keyword":["__"],"landingPage":"ivo://nasa.heasarc/vlaxl325mh","license":"https://www.usa.gov/government-works","modified":"2026-09-21","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"High Energy Astrophysics Science Archive Research Center"},"theme":["Astrophysics"],"title":"VLA XMM Large Scale Structure Field 325-MHz Source Catalog"},"description":"The XMM Large Scale Structure survey (XMM-LSS) is an X-ray survey aimed at studying the large scale structure of the Universe. The XMM-LSS field (centered at RA (J2000) = 02<sup>h</sup> 24<sup>m</sup> 00.27<sup>s</sup>, Dec (J2000) = -04<sup>o</sup> 09' 47.6") is currently being followed up using observations across a wide range of wavelengths, and in their paper the authors present the observational results of a low frequency radio survey of the XMM-LSS field using the Very Large Array at 74 and 325 MHz. This survey will map out the locations of the extragalactic radio sources relative to the large scale structure as traced by the X-ray emission. This is of particular interest because radio galaxies and radio-loud AGN show strong and complex interactions with their small and larger scale environment, and different classes of radio galaxies are suggested to lie at different places with respect to the large scale structure. For the phase calibration of the radio data, the authors used standard self-calibration at 325 MHz and field-base calibration at 74 MHz. Polyhedron-based imaging as well as mosaicking methods were used at both frequencies. At 74 MHz, the resolution was 30 arcseconds, the median 5-sigma sensitivity was ~ 162 mJy/beam and 666 sources were detected over an area of 132 square degrees. At 325 MHz, the resolution was 6.7 arcseconds, the median 5-sigma sensitivity was 4 mJy/beam, and 847 sources were detected over an area of 15.3 square degrees. At 325 MHz, a region of diffuse radio emission which is a cluster halo or relic candidate was detected. The observations were conducted using the VLA in July 2003 in the A-configuration (most extended) and in June 2002 in the B-configuration. This table contains the VLA 325-MHz source list, comprising 605 single sources and 615 components of 237 multiple sources, for a total of 1220 entries. (Notice that, in Section 4.1 of the reference paper, somewhat different numbers are given, i.e., the authors quote 621 single sources and 226 multiple sources). For the multiple sources, each component (A, B, etc.) is listed separately, in order of decreasing brightness. This table was created by the HEASARC in March 2012 based on <a href=\"https://cdsarc.cds.unistra.fr/ftp/cats/J/A+A/456/791\">CDS Catalog J/A+A/456/791</a> file tablea1.dat. This is a service provided by NASA HEASARC .","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/eb3a8978-b35d-49ef-8858-2b62ebeaceb5","harvest_record_raw":"https://catalog.data.gov/harvest_record/eb3a8978-b35d-49ef-8858-2b62ebeaceb5/raw","has_download":true,"has_spatial":false,"identifier":"ivo://nasa.heasarc/vlaxl325mh","keyword":["__"],"last_harvested_date":"2026-09-23T00:55:30.299361","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":"High Energy Astrophysics Science Archive Research Center","slug":"vla-xmm-large-scale-structure-field-325-mhz-source-catalog","spatial_centroid":null,"spatial_shape":null,"theme":["Astrophysics"],"title":"VLA XMM Large Scale Structure Field 325-MHz Source Catalog","type":"dataset"},{"_score":5.257498,"_sort":[1790124907066,5.257498,1,"85ee25b3-dda1-4a2e-8c9e-2043344fe425"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"NASA Space Physics Data Facility","hasEmail":"mailto:NASA-SPDF-Support@nasa.onmicrosoft.com"},"description":"Geographic and Magnetic Coordinates: The ephemeris data products, which include the balloon epoch time, latitude, longitude, and altitude, are each returned from the payload once every 4s. Geographic coordinates are obtained from an onboard Global Positioning System, GPS, unit. Magnetic coordinates are derived by using the International Radiation Belt Environment Modeling, IRBEM, FORTRAN library.\n\nThe BARREL Mission was a multiple-balloon investigation designed to study electron losses from Earth's Radiation Belts. Selected as a NASA Living with a Star Mission of Opportunity, BARREL was designed to augment the Radiation Belt Storm Probes, RBSP, mission by providing measurements of the spatial and temporal variations of electron precipitation from the radiation belts. The RBSP mission has since been renamed the Van Allen Probes mission. Each BARREL balloon carried an X-ray spectrometer to measure the bremsstrahlung X-rays produced by precipitating relativistic electrons as they collide with neutrals in the atmosphere, and a DC magnetometer to measure ULF-timescale variations of the magnetic field. BARREL observations collected near latitudes close to either the antarctic and arctic circles at stratospheric altitudes at about 30 km. The BARREL instrumentation provided the first balloon measurements of relativistic electron precipitation while comprehensive in situ measurements of both plasma waves and energetic particles were available. Also, the BARREL data has been used to characterize the spatial scale of precipitation at relativistic energies.\n\nThe initial pair of balloon campaigns that were conducted initially during the Austral summer months of January and February of 2013 and 2014 with launches from two stations located in Antarctica: the British base located at Halley Bay on the Brunt Ice Shelf and the South African SANAE IV base (SANAE stand for South African National Antarctic Expedition) located in Vesleskarvet, Queen Maud Land. For the 2013 and 2014 the balloon campaigns, the launch plan was designed to maintain an array with about five payloads spread across about six hours of magnetic local time, MLT, in the region that magnetically maps to the radiation belts. Thus, the BARREL balloon constellation constituted an evolving and slowly moving array able to study relativistic electron precipitation from the radiation belts.\n\nLater campaigns were undertaken in 2015 and 2016 from the Esrange Space Center located in Kiruna, Sweden. The 2015 and 2016 campaigns were undertaken in coordination with the Van Allen Probes mission, the European Incoherent Scatter Scientific Association, EISCAT, incoherent scatter radar system, and other ground and space based instruments. Seven balloon launches occurred during the August 2015 BARREL campaign. A total of eight flights occurred during August 2016.\n\nSumming over the four BARREL campaigns, over 50 small, approximately 20 kg, stratospheric balloons were successively launched. The website creeated and hosted by A.J. Halford (see Information URL below) reports that: \"By the end of the campaigns, there were over 90 researchers coordinating on a daily basis with the BARREL team working on 7 different satellite missions, 1 other balloon mission, and way too many ground based instruments to count.\" Although the BARREL mission launched only balloons during the years from 2013 to 2016, research using data collected on these flights is ongoing, so stay tuned for updates! All data and analysis software are freely available to the scientific community.\n\nThe information listed above in this resource description was compiled by referencing several BARREL related resources including primarily the Millan et al. (2013) Space Science Reviews publication, the BARREL at Dartmouth mission web site, and the website maintained by A.J. Halford.\n\nThe current release of all BARREL CDF data products are Version 10 files.\n\nBARREL will make all its scientific data products quickly and publicly available but all users are expected to read and follow the BARREL Data Usage Policy listed below.\n\nBARREL Data Usage Policy\n\nBARREL data products are made freely available to the public and every effort is made to ensure that these products are of the highest quality. However, there may occasionally be issues with either the instruments or data processing that affect the accuracy of data. When possible, a quality flag is included in higher level data products, and known issues are posted in the BARREL data repository. You are also strongly encouraged to follow the guidelines below if you are planning a publication or presentation in which BARREL data are used. This will help you ensure that your science results are valid.\n\n* Users should always use the highest version numbers of data and analysis tools. Browse/quick-look plots are not intended for science analysis or publication and should not be used for those purposes without consent of the principal investigator, PI.\n* Users should notify the BARREL PI of the data use and investigation objectives. This will ensure that you are using the data appropriately and have the most recent version of the data or analysis routines. Additionally, if a BARREL team member is already working on a similar or related topic, they may be able to contribute intellectually.\n* If BARREL team members are not part of the author list, then users should Credit/Acknowledge the BARREL team as follows: We acknowledge the BARREL team (PI: Robyn Millan) for use of BARREL data.\n* Users are also requested to provide the PI with a copy of each manuscript that uses BARREL data upon submission of that manuscript for consideration of publication. On publication, the citation should be transmitted to the PI.\n\nThe BARREL PI can be contacted at: Robyn.Millan@dartmouth.edu.\n\nAn online copy of the BARREL Data Usage Policy document can be found at: https://barrel.rmillan.host.dartmouth.edu/documents/data.use.policy.pdf.","distribution":[{"@type":"dcat:Distribution","downloadURL":"ftps://spdf.gsfc.nasa.gov/pub/data/barrel/l2/2y/ephem/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"http://relativisticballoons.blogspot.com","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://alexahalford.weebly.com/barrel-2013---2016.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://barrel.rmillan.host.dartmouth.edu/documents/data.use.policy.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://barrel.rmillan.host.dartmouth.edu/index.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://cdaweb.gsfc.nasa.gov/cgi-bin/eval2.cgi?dataset=BAR_2Y_L2_EPHM&index=sp_phys","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://cdaweb.gsfc.nasa.gov/pub/data/barrel/Campaigns_and_launches.txt","format":"TXT","mediaType":"text/plain"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.1007/s11214-013-9971-z","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://github.com/PRBEM/IRBEM","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://helio.data.nasa.gov/dataset/BARREL_2Y_Ephemeris_L2_PT4S","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://hpde.io/NASA/NumericalData/BARREL/2Y/Ephemeris/L2/PT4S","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://prbem.github.io/IRBEM/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://spdf.gsfc.nasa.gov/pub/data/barrel/l2/2y/ephem/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.nasa.gov/mission-pages/rbsp/barrel/","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"https://doi.org/10.48322/6ct2-7m72","keyword":["ephemeris","instrumentstatus"],"landingPage":"https://doi.org/10.48322/6ct2-7m72","license":"https://www.usa.gov/government-works","modified":"2026-09-21","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"SPDF"},"theme":["Heliophysics"],"title":"BARREL 2Y Ephemeris (EPHM) Geographic and Magnetic Coordinates, Level 2, 4 s Data"},"description":"Geographic and Magnetic Coordinates: The ephemeris data products, which include the balloon epoch time, latitude, longitude, and altitude, are each returned from the payload once every 4s. Geographic coordinates are obtained from an onboard Global Positioning System, GPS, unit. Magnetic coordinates are derived by using the International Radiation Belt Environment Modeling, IRBEM, FORTRAN library.\n\nThe BARREL Mission was a multiple-balloon investigation designed to study electron losses from Earth's Radiation Belts. Selected as a NASA Living with a Star Mission of Opportunity, BARREL was designed to augment the Radiation Belt Storm Probes, RBSP, mission by providing measurements of the spatial and temporal variations of electron precipitation from the radiation belts. The RBSP mission has since been renamed the Van Allen Probes mission. Each BARREL balloon carried an X-ray spectrometer to measure the bremsstrahlung X-rays produced by precipitating relativistic electrons as they collide with neutrals in the atmosphere, and a DC magnetometer to measure ULF-timescale variations of the magnetic field. BARREL observations collected near latitudes close to either the antarctic and arctic circles at stratospheric altitudes at about 30 km. The BARREL instrumentation provided the first balloon measurements of relativistic electron precipitation while comprehensive in situ measurements of both plasma waves and energetic particles were available. Also, the BARREL data has been used to characterize the spatial scale of precipitation at relativistic energies.\n\nThe initial pair of balloon campaigns that were conducted initially during the Austral summer months of January and February of 2013 and 2014 with launches from two stations located in Antarctica: the British base located at Halley Bay on the Brunt Ice Shelf and the South African SANAE IV base (SANAE stand for South African National Antarctic Expedition) located in Vesleskarvet, Queen Maud Land. For the 2013 and 2014 the balloon campaigns, the launch plan was designed to maintain an array with about five payloads spread across about six hours of magnetic local time, MLT, in the region that magnetically maps to the radiation belts. Thus, the BARREL balloon constellation constituted an evolving and slowly moving array able to study relativistic electron precipitation from the radiation belts.\n\nLater campaigns were undertaken in 2015 and 2016 from the Esrange Space Center located in Kiruna, Sweden. The 2015 and 2016 campaigns were undertaken in coordination with the Van Allen Probes mission, the European Incoherent Scatter Scientific Association, EISCAT, incoherent scatter radar system, and other ground and space based instruments. Seven balloon launches occurred during the August 2015 BARREL campaign. A total of eight flights occurred during August 2016.\n\nSumming over the four BARREL campaigns, over 50 small, approximately 20 kg, stratospheric balloons were successively launched. The website creeated and hosted by A.J. Halford (see Information URL below) reports that: \"By the end of the campaigns, there were over 90 researchers coordinating on a daily basis with the BARREL team working on 7 different satellite missions, 1 other balloon mission, and way too many ground based instruments to count.\" Although the BARREL mission launched only balloons during the years from 2013 to 2016, research using data collected on these flights is ongoing, so stay tuned for updates! All data and analysis software are freely available to the scientific community.\n\nThe information listed above in this resource description was compiled by referencing several BARREL related resources including primarily the Millan et al. (2013) Space Science Reviews publication, the BARREL at Dartmouth mission web site, and the website maintained by A.J. Halford.\n\nThe current release of all BARREL CDF data products are Version 10 files.\n\nBARREL will make all its scientific data products quickly and publicly available but all users are expected to read and follow the BARREL Data Usage Policy listed below.\n\nBARREL Data Usage Policy\n\nBARREL data products are made freely available to the public and every effort is made to ensure that these products are of the highest quality. However, there may occasionally be issues with either the instruments or data processing that affect the accuracy of data. When possible, a quality flag is included in higher level data products, and known issues are posted in the BARREL data repository. You are also strongly encouraged to follow the guidelines below if you are planning a publication or presentation in which BARREL data are used. This will help you ensure that your science results are valid.\n\n* Users should always use the highest version numbers of data and analysis tools. Browse/quick-look plots are not intended for science analysis or publication and should not be used for those purposes without consent of the principal investigator, PI.\n* Users should notify the BARREL PI of the data use and investigation objectives. This will ensure that you are using the data appropriately and have the most recent version of the data or analysis routines. Additionally, if a BARREL team member is already working on a similar or related topic, they may be able to contribute intellectually.\n* If BARREL team members are not part of the author list, then users should Credit/Acknowledge the BARREL team as follows: We acknowledge the BARREL team (PI: Robyn Millan) for use of BARREL data.\n* Users are also requested to provide the PI with a copy of each manuscript that uses BARREL data upon submission of that manuscript for consideration of publication. On publication, the citation should be transmitted to the PI.\n\nThe BARREL PI can be contacted at: Robyn.Millan@dartmouth.edu.\n\nAn online copy of the BARREL Data Usage Policy document can be found at: https://barrel.rmillan.host.dartmouth.edu/documents/data.use.policy.pdf.","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/ba75e77b-4d06-40b0-8d7f-c884fabce165","harvest_record_raw":"https://catalog.data.gov/harvest_record/ba75e77b-4d06-40b0-8d7f-c884fabce165/raw","has_download":true,"has_spatial":false,"identifier":"https://doi.org/10.48322/6ct2-7m72","keyword":["ephemeris","instrumentstatus"],"last_harvested_date":"2026-09-23T00:55:07.066217","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":"SPDF","slug":"barrel-2y-ephemeris-ephm-geographic-and-magnetic-coordinates-level-2-4-s-data","spatial_centroid":null,"spatial_shape":null,"theme":["Heliophysics"],"title":"BARREL 2Y Ephemeris (EPHM) Geographic and Magnetic Coordinates, Level 2, 4 s Data","type":"dataset"},{"_score":23.432701,"_sort":[1790124906488,23.432701,1,"9b0064f7-821e-4a7e-af84-fe2ab30db142"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Planetary Data System","hasEmail":"mailto:pds-operator@jpl.nasa.gov"},"description":"This data set contains derived electron and proton flux energies in MeV from the Standard Radiation Environment Monitor (SREM) instrument on the Rosetta spacecraft, which had the primary target of comet 67P/Churyumov-Gerasimenko. These are CODMAC Level 5 derived data, and measure the radiation in the spacecraft environment during the Medium Term Plan 7 period of the PRELANDING mission phase.","identifier":"urn:nasa:pds:context_pds3:data_set:data_set.ro-x-srem-5-prl-mtp007-v1.0;urn:nasa:pds:context_pds3:data_set:data_set.ro-x-srem-5-prl-mtp007-v1.0::1.0","keyword":["__"],"license":"https://www.usa.gov/government-works","modified":"2026-09-21","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"Small Bodies"},"theme":["Planetary Science"],"title":"ROSETTA-ORBITER 67P SREM 5 PRELANDING MTP007 V1.0"},"description":"This data set contains derived electron and proton flux energies in MeV from the Standard Radiation Environment Monitor (SREM) instrument on the Rosetta spacecraft, which had the primary target of comet 67P/Churyumov-Gerasimenko. These are CODMAC Level 5 derived data, and measure the radiation in the spacecraft environment during the Medium Term Plan 7 period of the PRELANDING mission phase.","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/efb583bb-4c8d-4a74-86f0-827b19832569","harvest_record_raw":"https://catalog.data.gov/harvest_record/efb583bb-4c8d-4a74-86f0-827b19832569/raw","has_download":false,"has_spatial":false,"identifier":"urn:nasa:pds:context_pds3:data_set:data_set.ro-x-srem-5-prl-mtp007-v1.0;urn:nasa:pds:context_pds3:data_set:data_set.ro-x-srem-5-prl-mtp007-v1.0::1.0","keyword":["__"],"last_harvested_date":"2026-09-23T00:55:06.488957","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":"Small Bodies","slug":"rosetta-orbiter-67p-srem-5-prelanding-mtp007-v1-0-01620","spatial_centroid":null,"spatial_shape":null,"theme":["Planetary Science"],"title":"ROSETTA-ORBITER 67P SREM 5 PRELANDING MTP007 V1.0","type":"dataset"},{"_score":5.361683,"_sort":[1790124903396,5.361683,2,"1c2b7298-8880-4729-8832-fdba5ee5eb3c"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"NASA Space Physics Data Facility","hasEmail":"mailto:NASA-SPDF-Support@nasa.onmicrosoft.com"},"description":"Geographic and Magnetic Coordinates: The ephemeris data products, which include the balloon epoch time, latitude, longitude, and altitude, are each returned from the payload once every 4s. Geographic coordinates are obtained from an onboard Global Positioning System, GPS, unit. Magnetic coordinates are derived by using the International Radiation Belt Environment Modeling, IRBEM, FORTRAN library.\n\nThe BARREL Mission was a multiple-balloon investigation designed to study electron losses from Earth's Radiation Belts. Selected as a NASA Living with a Star Mission of Opportunity, BARREL was designed to augment the Radiation Belt Storm Probes, RBSP, mission by providing measurements of the spatial and temporal variations of electron precipitation from the radiation belts. The RBSP mission has since been renamed the Van Allen Probes mission. Each BARREL balloon carried an X-ray spectrometer to measure the bremsstrahlung X-rays produced by precipitating relativistic electrons as they collide with neutrals in the atmosphere, and a DC magnetometer to measure ULF-timescale variations of the magnetic field. BARREL observations collected near latitudes close to either the antarctic and arctic circles at stratospheric altitudes at about 30 km. The BARREL instrumentation provided the first balloon measurements of relativistic electron precipitation while comprehensive in situ measurements of both plasma waves and energetic particles were available. Also, the BARREL data has been used to characterize the spatial scale of precipitation at relativistic energies.\n\nThe initial pair of balloon campaigns that were conducted initially during the Austral summer months of January and February of 2013 and 2014 with launches from two stations located in Antarctica: the British base located at Halley Bay on the Brunt Ice Shelf and the South African SANAE IV base (SANAE stand for South African National Antarctic Expedition) located in Vesleskarvet, Queen Maud Land. For the 2013 and 2014 the balloon campaigns, the launch plan was designed to maintain an array with about five payloads spread across about six hours of magnetic local time, MLT, in the region that magnetically maps to the radiation belts. Thus, the BARREL balloon constellation constituted an evolving and slowly moving array able to study relativistic electron precipitation from the radiation belts.\n\nLater campaigns were undertaken in 2015 and 2016 from the Esrange Space Center located in Kiruna, Sweden. The 2015 and 2016 campaigns were undertaken in coordination with the Van Allen Probes mission, the European Incoherent Scatter Scientific Association, EISCAT, incoherent scatter radar system, and other ground and space based instruments. Seven balloon launches occurred during the August 2015 BARREL campaign. A total of eight flights occurred during August 2016.\n\nSumming over the four BARREL campaigns, over 50 small, approximately 20 kg, stratospheric balloons were successively launched. The website creeated and hosted by A.J. Halford (see Information URL below) reports that: \"By the end of the campaigns, there were over 90 researchers coordinating on a daily basis with the BARREL team working on 7 different satellite missions, 1 other balloon mission, and way too many ground based instruments to count.\" Although the BARREL mission launched only balloons during the years from 2013 to 2016, research using data collected on these flights is ongoing, so stay tuned for updates! All data and analysis software are freely available to the scientific community.\n\nThe information listed above in this resource description was compiled by referencing several BARREL related resources including primarily the Millan et al. (2013) Space Science Reviews publication, the BARREL at Dartmouth mission web site, and the website maintained by A.J. Halford.\n\nThe current release of all BARREL CDF data products are Version 10 files.\n\nBARREL will make all its scientific data products quickly and publicly available but all users are expected to read and follow the BARREL Data Usage Policy listed below.\n\nBARREL Data Usage Policy\n\nBARREL data products are made freely available to the public and every effort is made to ensure that these products are of the highest quality. However, there may occasionally be issues with either the instruments or data processing that affect the accuracy of data. When possible, a quality flag is included in higher level data products, and known issues are posted in the BARREL data repository. You are also strongly encouraged to follow the guidelines below if you are planning a publication or presentation in which BARREL data are used. This will help you ensure that your science results are valid.\n\n* Users should always use the highest version numbers of data and analysis tools. Browse/quick-look plots are not intended for science analysis or publication and should not be used for those purposes without consent of the principal investigator, PI.\n* Users should notify the BARREL PI of the data use and investigation objectives. This will ensure that you are using the data appropriately and have the most recent version of the data or analysis routines. Additionally, if a BARREL team member is already working on a similar or related topic, they may be able to contribute intellectually.\n* If BARREL team members are not part of the author list, then users should Credit/Acknowledge the BARREL team as follows: We acknowledge the BARREL team (PI: Robyn Millan) for use of BARREL data.\n* Users are also requested to provide the PI with a copy of each manuscript that uses BARREL data upon submission of that manuscript for consideration of publication. On publication, the citation should be transmitted to the PI.\n\nThe BARREL PI can be contacted at: Robyn.Millan@dartmouth.edu.\n\nAn online copy of the BARREL Data Usage Policy document can be found at: https://barrel.rmillan.host.dartmouth.edu/documents/data.use.policy.pdf.","distribution":[{"@type":"dcat:Distribution","downloadURL":"ftps://spdf.gsfc.nasa.gov/pub/data/barrel/l2/3g/ephem/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"http://relativisticballoons.blogspot.com","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://alexahalford.weebly.com/barrel-2013---2016.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://barrel.rmillan.host.dartmouth.edu/documents/data.use.policy.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://barrel.rmillan.host.dartmouth.edu/index.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://cdaweb.gsfc.nasa.gov/cgi-bin/eval2.cgi?dataset=BAR_3G_L2_EPHM&index=sp_phys","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://cdaweb.gsfc.nasa.gov/pub/data/barrel/Campaigns_and_launches.txt","format":"TXT","mediaType":"text/plain"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.1007/s11214-013-9971-z","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://github.com/PRBEM/IRBEM","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://helio.data.nasa.gov/dataset/BARREL_3G_Ephemeris_L2_PT4S","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://hpde.io/NASA/NumericalData/BARREL/3G/Ephemeris/L2/PT4S","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://prbem.github.io/IRBEM/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://spdf.gsfc.nasa.gov/pub/data/barrel/l2/3g/ephem/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.nasa.gov/mission-pages/rbsp/barrel/","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"https://doi.org/10.48322/n222-b468","keyword":["ephemeris","instrumentstatus"],"landingPage":"https://doi.org/10.48322/n222-b468","license":"https://www.usa.gov/government-works","modified":"2026-09-21","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"SPDF"},"theme":["Heliophysics"],"title":"BARREL 3G Ephemeris (EPHM) Geographic and Magnetic Coordinates, Level 2, 4 s Data"},"description":"Geographic and Magnetic Coordinates: The ephemeris data products, which include the balloon epoch time, latitude, longitude, and altitude, are each returned from the payload once every 4s. Geographic coordinates are obtained from an onboard Global Positioning System, GPS, unit. Magnetic coordinates are derived by using the International Radiation Belt Environment Modeling, IRBEM, FORTRAN library.\n\nThe BARREL Mission was a multiple-balloon investigation designed to study electron losses from Earth's Radiation Belts. Selected as a NASA Living with a Star Mission of Opportunity, BARREL was designed to augment the Radiation Belt Storm Probes, RBSP, mission by providing measurements of the spatial and temporal variations of electron precipitation from the radiation belts. The RBSP mission has since been renamed the Van Allen Probes mission. Each BARREL balloon carried an X-ray spectrometer to measure the bremsstrahlung X-rays produced by precipitating relativistic electrons as they collide with neutrals in the atmosphere, and a DC magnetometer to measure ULF-timescale variations of the magnetic field. BARREL observations collected near latitudes close to either the antarctic and arctic circles at stratospheric altitudes at about 30 km. The BARREL instrumentation provided the first balloon measurements of relativistic electron precipitation while comprehensive in situ measurements of both plasma waves and energetic particles were available. Also, the BARREL data has been used to characterize the spatial scale of precipitation at relativistic energies.\n\nThe initial pair of balloon campaigns that were conducted initially during the Austral summer months of January and February of 2013 and 2014 with launches from two stations located in Antarctica: the British base located at Halley Bay on the Brunt Ice Shelf and the South African SANAE IV base (SANAE stand for South African National Antarctic Expedition) located in Vesleskarvet, Queen Maud Land. For the 2013 and 2014 the balloon campaigns, the launch plan was designed to maintain an array with about five payloads spread across about six hours of magnetic local time, MLT, in the region that magnetically maps to the radiation belts. Thus, the BARREL balloon constellation constituted an evolving and slowly moving array able to study relativistic electron precipitation from the radiation belts.\n\nLater campaigns were undertaken in 2015 and 2016 from the Esrange Space Center located in Kiruna, Sweden. The 2015 and 2016 campaigns were undertaken in coordination with the Van Allen Probes mission, the European Incoherent Scatter Scientific Association, EISCAT, incoherent scatter radar system, and other ground and space based instruments. Seven balloon launches occurred during the August 2015 BARREL campaign. A total of eight flights occurred during August 2016.\n\nSumming over the four BARREL campaigns, over 50 small, approximately 20 kg, stratospheric balloons were successively launched. The website creeated and hosted by A.J. Halford (see Information URL below) reports that: \"By the end of the campaigns, there were over 90 researchers coordinating on a daily basis with the BARREL team working on 7 different satellite missions, 1 other balloon mission, and way too many ground based instruments to count.\" Although the BARREL mission launched only balloons during the years from 2013 to 2016, research using data collected on these flights is ongoing, so stay tuned for updates! All data and analysis software are freely available to the scientific community.\n\nThe information listed above in this resource description was compiled by referencing several BARREL related resources including primarily the Millan et al. (2013) Space Science Reviews publication, the BARREL at Dartmouth mission web site, and the website maintained by A.J. Halford.\n\nThe current release of all BARREL CDF data products are Version 10 files.\n\nBARREL will make all its scientific data products quickly and publicly available but all users are expected to read and follow the BARREL Data Usage Policy listed below.\n\nBARREL Data Usage Policy\n\nBARREL data products are made freely available to the public and every effort is made to ensure that these products are of the highest quality. However, there may occasionally be issues with either the instruments or data processing that affect the accuracy of data. When possible, a quality flag is included in higher level data products, and known issues are posted in the BARREL data repository. You are also strongly encouraged to follow the guidelines below if you are planning a publication or presentation in which BARREL data are used. This will help you ensure that your science results are valid.\n\n* Users should always use the highest version numbers of data and analysis tools. Browse/quick-look plots are not intended for science analysis or publication and should not be used for those purposes without consent of the principal investigator, PI.\n* Users should notify the BARREL PI of the data use and investigation objectives. This will ensure that you are using the data appropriately and have the most recent version of the data or analysis routines. Additionally, if a BARREL team member is already working on a similar or related topic, they may be able to contribute intellectually.\n* If BARREL team members are not part of the author list, then users should Credit/Acknowledge the BARREL team as follows: We acknowledge the BARREL team (PI: Robyn Millan) for use of BARREL data.\n* Users are also requested to provide the PI with a copy of each manuscript that uses BARREL data upon submission of that manuscript for consideration of publication. On publication, the citation should be transmitted to the PI.\n\nThe BARREL PI can be contacted at: Robyn.Millan@dartmouth.edu.\n\nAn online copy of the BARREL Data Usage Policy document can be found at: https://barrel.rmillan.host.dartmouth.edu/documents/data.use.policy.pdf.","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/47e8fe9e-54a1-4921-b171-4d14d6814266","harvest_record_raw":"https://catalog.data.gov/harvest_record/47e8fe9e-54a1-4921-b171-4d14d6814266/raw","has_download":true,"has_spatial":false,"identifier":"https://doi.org/10.48322/n222-b468","keyword":["ephemeris","instrumentstatus"],"last_harvested_date":"2026-09-23T00:55:03.396141","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":"SPDF","slug":"barrel-3g-ephemeris-ephm-geographic-and-magnetic-coordinates-level-2-4-s-data","spatial_centroid":null,"spatial_shape":null,"theme":["Heliophysics"],"title":"BARREL 3G Ephemeris (EPHM) Geographic and Magnetic Coordinates, Level 2, 4 s Data","type":"dataset"},{"_score":15.698486,"_sort":[1790124900429,15.698486,1,"54ddbd3f-1ef6-4466-a0d0-2c3110a93267"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"IRSA Support","hasEmail":"mailto:irsasupport@ipac.caltech.edu"},"description":"The Spitzer Wide-area InfraRed Extragalactic survey (SWIRE) is a wide-area, imaging survey to trace the evolution of dusty, star-forming galaxies, evolved stellar populations, and AGN as a function of environment, from redshifts z~3 to the current epoch. SWIRE surveys 6 high-latitude fields, totaling ~50 sq. deg. in all 7 Spitzer bands: 3.6, 4.5, 5.8, and 8 microns with IRAC and 24, 70, and 160 microns with MIPS (Lonsdale et al. 2003). The SWIRE Legacy Extragalactic Source Catalogs will eventually contain in excess of 2 million IR-selected galaxies, from those dominated by the light of stellar populations detected primarily by IRAC, to starbursts, ultra-luminous infrared galaxies and AGN detected also by MIPS.","distribution":[{"@type":"dcat:Distribution","downloadURL":"https://irsa.ipac.caltech.edu/SCS?table=chandra_cat_f05&","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://irsa.ipac.caltech.edu/data/SPITZER/SWIRE/SWIRE_EN1_columns.html","format":"HTML","mediaType":"text/html"}],"identifier":"ivo://irsa.ipac/spitzer/catalog/swire/swire-cdfs","keyword":["__"],"landingPage":"ivo://irsa.ipac/spitzer/catalog/swire/swire-cdfs","license":"https://www.usa.gov/government-works","modified":"2026-09-21","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/IPAC Infrared Science Archive"},"theme":["Astrophysics"],"title":"Spitzer Wide-area InfraRed Extragalactic Survey CDFS Optical-IRAC-MIPS24 Catalog"},"description":"The Spitzer Wide-area InfraRed Extragalactic survey (SWIRE) is a wide-area, imaging survey to trace the evolution of dusty, star-forming galaxies, evolved stellar populations, and AGN as a function of environment, from redshifts z~3 to the current epoch. SWIRE surveys 6 high-latitude fields, totaling ~50 sq. deg. in all 7 Spitzer bands: 3.6, 4.5, 5.8, and 8 microns with IRAC and 24, 70, and 160 microns with MIPS (Lonsdale et al. 2003). The SWIRE Legacy Extragalactic Source Catalogs will eventually contain in excess of 2 million IR-selected galaxies, from those dominated by the light of stellar populations detected primarily by IRAC, to starbursts, ultra-luminous infrared galaxies and AGN detected also by MIPS.","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/2c3cd308-864c-4f17-9721-13c46f2d51e9","harvest_record_raw":"https://catalog.data.gov/harvest_record/2c3cd308-864c-4f17-9721-13c46f2d51e9/raw","has_download":true,"has_spatial":false,"identifier":"ivo://irsa.ipac/spitzer/catalog/swire/swire-cdfs","keyword":["__"],"last_harvested_date":"2026-09-23T00:55:00.429708","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/IPAC Infrared Science Archive","slug":"spitzer-wide-area-infrared-extragalactic-survey-cdfs-optical-irac-mips24-catalog","spatial_centroid":null,"spatial_shape":null,"theme":["Astrophysics"],"title":"Spitzer Wide-area InfraRed Extragalactic Survey CDFS Optical-IRAC-MIPS24 Catalog","type":"dataset"},{"_score":13.338982,"_sort":[1790124898684,13.338982,1,"cc7ff9d6-c6b9-4209-be34-fae6c476a0b0"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Planetary Data System","hasEmail":"mailto:pds-operator@jpl.nasa.gov"},"description":"This volume contains Experiment Data acquired by GIADA during 'Mars swing-by' phase. More in detail it refers to the data provided during the following in-flight tests: 'Active Payload Checkout n. 4' (PC4) held on 24/25-11-2006 and 04-12-2006; 'Passive Payload Checkout n. 5' (PC5) held on 20/21-05-2007. It also contains documentation which describes the GIADA experiment. The data reported in this data set have been converted from ADC counts to engineering values. The quality of the Housekeeping and Calibration data is good. Scientific data are due to noise, as no grain event is expected during this mission phase. These data must be only considered to evaluate GIADA behaviour and not as real scientific data. Data reported by GDS and IS are due to noise as no dust event is expected during this mission phase. MBS frequency changes, once normalised for frequency vs. temperature dependence, if present, are due to deposition of contaminants existing in the S/C environment. Housekeeping and Calibration data from all GIADA sub-systems are useful to evaluate instrument health and behaviour when compared with similar data acquired during other mission phases.","identifier":"urn:nasa:pds:context_pds3:data_set:data_set.ro-x-gia-2-mars-marsswingby-v1.0;urn:nasa:pds:context_pds3:data_set:data_set.ro-x-gia-2-mars-marsswingby-v1.0::1.0","keyword":["__"],"license":"https://www.usa.gov/government-works","modified":"2026-09-21","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"Small Bodies"},"theme":["Planetary Science"],"title":"ROSETTA-ORBITER CHECK GIADA 2 MARS MARSSWINGBY V1.0"},"description":"This volume contains Experiment Data acquired by GIADA during 'Mars swing-by' phase. More in detail it refers to the data provided during the following in-flight tests: 'Active Payload Checkout n. 4' (PC4) held on 24/25-11-2006 and 04-12-2006; 'Passive Payload Checkout n. 5' (PC5) held on 20/21-05-2007. It also contains documentation which describes the GIADA experiment. The data reported in this data set have been converted from ADC counts to engineering values. The quality of the Housekeeping and Calibration data is good. Scientific data are due to noise, as no grain event is expected during this mission phase. These data must be only considered to evaluate GIADA behaviour and not as real scientific data. Data reported by GDS and IS are due to noise as no dust event is expected during this mission phase. MBS frequency changes, once normalised for frequency vs. temperature dependence, if present, are due to deposition of contaminants existing in the S/C environment. Housekeeping and Calibration data from all GIADA sub-systems are useful to evaluate instrument health and behaviour when compared with similar data acquired during other mission phases.","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/4b8f89f4-895a-4550-a9a0-4437323b80e9","harvest_record_raw":"https://catalog.data.gov/harvest_record/4b8f89f4-895a-4550-a9a0-4437323b80e9/raw","has_download":false,"has_spatial":false,"identifier":"urn:nasa:pds:context_pds3:data_set:data_set.ro-x-gia-2-mars-marsswingby-v1.0;urn:nasa:pds:context_pds3:data_set:data_set.ro-x-gia-2-mars-marsswingby-v1.0::1.0","keyword":["__"],"last_harvested_date":"2026-09-23T00:54:58.684377","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":"Small Bodies","slug":"rosetta-orbiter-check-giada-2-mars-marsswingby-v1-0-4be6a","spatial_centroid":null,"spatial_shape":null,"theme":["Planetary Science"],"title":"ROSETTA-ORBITER CHECK GIADA 2 MARS MARSSWINGBY V1.0","type":"dataset"}],"sort":"last_harvested_date"}