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It is an update to the \noriginal GAGES, which was published as a Data Paper on the journal Ecology's website \n(Falcone and others, 2010b) in 2010. The GAGES II dataset consists of gages which \nhave had either 20+ complete years (not necessarily continuous) of discharge record \nsince 1950, or are currently active, as of water year 2009, and whose watersheds lie \nwithin the United States, including Alaska, Hawaii, and Puerto Rico. Reference gages \nwere identified based on indicators that they were the least-disturbed watersheds within \nthe framework of broad regions, based on 12 major ecoregions across the United States. \nOf the 9,322 total sites, 2,057 are classified as reference, and 7,265 as non-reference. \nOf the 2,057 reference sites, 1,633 have (through 2009) 20+ years of record since 1950. \nSome sites have very long flow records: a number of gages have been in continuous \nservice since 1900 (at least), and have 110 years of complete record (1900-2009) to date.\n\t\t\t  \nThe geospatial data include several hundred watershed characteristics compiled from \nnational data sources, including environmental features (e.g. climate \u2013 including historical \nprecipitation, geology, soils, topography) and anthropogenic influences (e.g. land use, \nroad density, presence of dams, canals, or power plants). The dataset also includes \ncomments from local USGS Water Science Centers, based on Annual Data Reports, \npertinent to hydrologic modifications and influences. The data posted also include \nwatershed boundaries in GIS format. \n\t\t\t  \nThis overall dataset is different in nature to the USGS Hydro-Climatic Data Network \n(HCDN; Slack and Landwehr 1992), whose data evaluation ended with water year 1988. \nThe HCDN identifies stream gages which at some point in their history had periods which \nrepresented natural flow, and the years in which those natural flows occurred were identified \n(i.e. not all HCDN sites were in reference condition even in 1988, for example, 02353500). \nThe HCDN remains a valuable indication of historic natural streamflow data. However, the \ngoal of this dataset was to identify watersheds which currently have near-natural flow \nconditions, and the 2,057 reference sites identified here were derived independently of the \nHCDN. A subset, however, noted in the BasinID worksheet as \u201cHCDN-2009\u201d, has been \nidentified as an updated list of 743 sites for potential hydro-climatic study. The HCDN-2009 \nsites fulfill all of the following criteria: \n\t(a) have 20 years of complete and continuous flow record in the last 20 years \n(water years 1990-2009), and were thus also currently active as of 2009, \n\t(b) are identified as being in current reference condition according to the GAGES-II classification, \n\t(c) have less than 5 percent imperviousness as measured from the NLCD 2006, and \n\t(d) were not eliminated by a review from participating state Water Science Center evaluators.\n\t\t\t  \nThe data posted here consist of the following items:- This point shapefile, with summary data \nfor the 9,322 gages.- A zip file containing basin characteristics, variable definitions, and a more \ndetailed report.- A zip file containing shapefiles of basin boundaries, organized by classification \nand aggregated ecoregion.- A zip file containing mainstem stream lines (Arc line coverages) for \neach gage.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P96CPHOT","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.1d623649-ccb9-4238-8add-3174bc322fdf.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_1d623649-ccb9-4238-8add-3174bc322fdf","keyword":["Alabama","Alaska","All 50 states","Arizona","Arkansas","California","Colorado","Connecticut","Delaware","District of Columbia","Florida","GAGES","Georgia","HCDN","Hawaii","Idaho","Illinois","Indiana","Iowa","Kansas","Kentucky","Louisiana","Maine","Maryland","Massachusetts","Michigan","Minnesota","Mississippi","Missouri","Montana","Nebraska","Nevada","New Hampshire","New Jersey","New Mexico","New York","North Carolina","North Dakota","Ohio","Oklahoma","Oregon","Pennsylvania","Puerto Rico","Rhode Island","South Carolina","South Dakota","Tennessee","Texas","USGS gages","USGS:1d623649-ccb9-4238-8add-3174bc322fdf","United States","Utah","Vermont","Virginia","Washington","West Virginia","Wisconsin","Wyoming","environment","geoscientificInformation","hydrologic condition","hydrologic modification","inlandWaters","reference watersheds","streamflow","streamgage network"],"modified":"2020-11-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-180.000000, 5.402082, 180.000000, 90.000000","theme":["geospatial"],"title":"GAGES-II: Geospatial Attributes of Gages for Evaluating Streamflow"},"description":"This dataset, termed \"GAGES II\", an acronym for Geospatial Attributes of Gages for \nEvaluating Streamflow, version II, provides geospatial data and classifications for 9,322 \nstream gages maintained by the U.S. Geological Survey (USGS). 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Reference gages \nwere identified based on indicators that they were the least-disturbed watersheds within \nthe framework of broad regions, based on 12 major ecoregions across the United States. \nOf the 9,322 total sites, 2,057 are classified as reference, and 7,265 as non-reference. \nOf the 2,057 reference sites, 1,633 have (through 2009) 20+ years of record since 1950. \nSome sites have very long flow records: a number of gages have been in continuous \nservice since 1900 (at least), and have 110 years of complete record (1900-2009) to date.\n\t\t\t  \nThe geospatial data include several hundred watershed characteristics compiled from \nnational data sources, including environmental features (e.g. climate \u2013 including historical \nprecipitation, geology, soils, topography) and anthropogenic influences (e.g. land use, \nroad density, presence of dams, canals, or power plants). The dataset also includes \ncomments from local USGS Water Science Centers, based on Annual Data Reports, \npertinent to hydrologic modifications and influences. The data posted also include \nwatershed boundaries in GIS format. \n\t\t\t  \nThis overall dataset is different in nature to the USGS Hydro-Climatic Data Network \n(HCDN; Slack and Landwehr 1992), whose data evaluation ended with water year 1988. \nThe HCDN identifies stream gages which at some point in their history had periods which \nrepresented natural flow, and the years in which those natural flows occurred were identified \n(i.e. not all HCDN sites were in reference condition even in 1988, for example, 02353500). \nThe HCDN remains a valuable indication of historic natural streamflow data. However, the \ngoal of this dataset was to identify watersheds which currently have near-natural flow \nconditions, and the 2,057 reference sites identified here were derived independently of the \nHCDN. A subset, however, noted in the BasinID worksheet as \u201cHCDN-2009\u201d, has been \nidentified as an updated list of 743 sites for potential hydro-climatic study. The HCDN-2009 \nsites fulfill all of the following criteria: \n\t(a) have 20 years of complete and continuous flow record in the last 20 years \n(water years 1990-2009), and were thus also currently active as of 2009, \n\t(b) are identified as being in current reference condition according to the GAGES-II classification, \n\t(c) have less than 5 percent imperviousness as measured from the NLCD 2006, and \n\t(d) were not eliminated by a review from participating state Water Science Center evaluators.\n\t\t\t  \nThe data posted here consist of the following items:- This point shapefile, with summary data \nfor the 9,322 gages.- A zip file containing basin characteristics, variable definitions, and a more \ndetailed report.- A zip file containing shapefiles of basin boundaries, organized by classification \nand aggregated ecoregion.- A zip file containing mainstem stream lines (Arc line coverages) for \neach gage.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/b37a71ca-2565-480c-8078-a85425e32704","harvest_record_raw":"https://catalog.data.gov/harvest_record/b37a71ca-2565-480c-8078-a85425e32704/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_1d623649-ccb9-4238-8add-3174bc322fdf","keyword":["Alabama","Alaska","All 50 states","Arizona","Arkansas","California","Colorado","Connecticut","Delaware","District of Columbia","Florida","GAGES","Georgia","HCDN","Hawaii","Idaho","Illinois","Indiana","Iowa","Kansas","Kentucky","Louisiana","Maine","Maryland","Massachusetts","Michigan","Minnesota","Mississippi","Missouri","Montana","Nebraska","Nevada","New Hampshire","New Jersey","New Mexico","New York","North Carolina","North Dakota","Ohio","Oklahoma","Oregon","Pennsylvania","Puerto Rico","Rhode Island","South Carolina","South Dakota","Tennessee","Texas","USGS gages","USGS:1d623649-ccb9-4238-8add-3174bc322fdf","United States","Utah","Vermont","Virginia","Washington","West Virginia","Wisconsin","Wyoming","environment","geoscientificInformation","hydrologic condition","hydrologic modification","inlandWaters","reference watersheds","streamflow","streamgage network"],"last_harvested_date":"2026-08-31T17:56:46.394119","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":31,"publisher":"U.S. Geological Survey","slug":"gages-ii-geospatial-attributes-of-gages-for-evaluating-streamflow","spatial_centroid":{"lat":39.2412492,"lon":-36.0},"spatial_shape":{"coordinates":[[[-180.0,5.402082],[-180.0,90.0],[180.0,90.0],[180.0,5.402082],[-180.0,5.402082]]],"type":"Polygon"},"theme":["geospatial"],"title":"GAGES-II: Geospatial Attributes of Gages for Evaluating Streamflow","type":"dataset"},{"_score":24.790833,"_sort":[1788198973012,24.790833,1,"b107d9be-ee00-4278-9189-4f57a981ae57"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Fred D Tillman","hasEmail":"mailto:ftillman@usgs.gov"},"description":"nlcd_UCRB_Maurer_resolution.asc is an Esri ASCII grid representing land cover information for the \nUpper Colorado River Basin.  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(2002) Climate Data resolution (nlcd_UCRB_Maurer_resolution.asc)"},"description":"nlcd_UCRB_Maurer_resolution.asc is an Esri ASCII grid representing land cover information for the \nUpper Colorado River Basin.  The 2011 National Land Cover Database (NLCD) was used to \ncharacterize land cover in the UCRB study area.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/f58ffb08-449d-49cb-89b1-ea2293f2f5ac","harvest_record_raw":"https://catalog.data.gov/harvest_record/f58ffb08-449d-49cb-89b1-ea2293f2f5ac/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_00db9705-d92d-460d-af3d-45fca2e14811","keyword":["Arizona","California","Colorado","Nevada","New Mexico","USGS:00db9705-d92d-460d-af3d-45fca2e14811","Upper Colorado River Basin","Utah","Wyoming","environment","geoscientificInformation","groundwater","groundwater recharge","inlandWaters","land cover"],"last_harvested_date":"2026-08-31T17:56:13.012835","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":"land-cover-information-for-the-upper-colorado-river-basin-in-maurer-et-al-2002-climate-dat","spatial_centroid":{"lat":38.575,"lon":-109.675},"spatial_shape":{"coordinates":[[[-112.625,35.125],[-112.625,43.75],[-105.25,43.75],[-105.25,35.125],[-112.625,35.125]]],"type":"Polygon"},"theme":["geospatial"],"title":"Land Cover Information for the Upper Colorado River Basin in Maurer et al. (2002) Climate Data resolution (nlcd_UCRB_Maurer_resolution.asc)","type":"dataset"},{"_score":3.7279015,"_sort":[1788198868454,3.7279015,3,"3d3bbc09-9c4b-4e6f-b288-0c4ecc5cd8ec"],"dcat":{"accessLevel":"public","bureauCode":["010:04"],"contactPoint":{"@type":"vcard:Contact","fn":"Bureau of Land Management, blm_ut_so_public_room","hasEmail":"mailto:blm_ut_so_public_room@blm.gov"},"description":"<div>This polygon feature class represents the spatial extent and boundaries for the Utah Greater Sage-Grouse (GRSG) seasonal habitats, as modeled by the Utah State University Kohl Model Version 5. The original habitat model is clipped to a habitat buffer created by the Utah Division of Wildlife Resources. The data contains a clipped polygon for nesting, summer, and winter habitat respectively.\u00a0</div><div><br /></div><div>Process of creating habitat model, as described by the authors: The process of creating the seasonal habitats layer is described below.</div><div><br /></div><div>1. Creation of statewide general habitat model for GRSG (2016). In 2016, researchers at Utah State University (USU) developed a statewide general sage-grouse habitat map using a database of hundreds of lek locations and more than 20,000 GRSG telemetry locations collected statewide from 1998 \u2013 2014. The map depicted habitat suitability on a scale from 0 to 100 at 1 km spatial resolution, based on comparing environmental (vegetation, topography, soils, climate) and anthropogenic (developed land cover, road density, powerline density) conditions at active lek and sage-grouse use locations versus inactive lek and random background locations statewide. Because multiple telemetry locations were often associated with a single brood-rearing or non-breeding bird, the median values of environmental and anthropogenic variables at these telemetry locations were used in the model. A random forest model was used to create the map (Breiman 2001, Cutler et al. 2007). Random forests is a highly accurate non-parametric classification technique that predicts the probability of an outcome (in this case, habitat vs non-habitat) by averaging the results of many classification trees, each of which is trained on a random subset of the available data. The general habitat map was reclassified into \u2018habitat\u2019 and \u2018non-habitat\u2019 classes such that habitat areas captured 99% of all sage-grouse use locations. These general habitat areas were used as a mask in order to constrain preliminary predictions of seasonal habitats, described below.</div><div><br /></div><div>2. Create preliminary seasonal GRSG habitat models (Jan - May 2017). Telemetry locations in the database were classified into three seasonal habitat types based on time of year and type of GRSG use. Breeding habitat was defined as areas used by GRSG engaged in lekking, nesting, and early brood-rearing, from March 1 \u2013 June 14. Summer habitat was defined as areas used by brood-rearing and non-breeding GRSG from June 15 \u2013 August 31. The June 15 cutoff date between breeding and summer use locations was selected based on the temporal distribution of nesting and brooding use locations. Winter habitat was defined as areas used by non-breeding GRSG from November 1 \u2013 February 29. As in the general habitat modeling approach, environmental conditions at annual brood-rearing or non-breeding locations associated with the same bird were measured as medians over the multiple locations. Seasonal habitats were modeled using the same predictors as the general habitat model, with the addition of distance to leks due to its association with breeding habitat. A random forest model was used to estimate the suitability of general habitat areas statewide (from step 1 above) for breeding, summer, and winter use. For each seasonal use class, a suitability threshold was selected such that 85% of all seasonal use locations were captured in the resulting seasonal habitat map. This resulted in models that were neither overly restrictive nor overly liberal. To reduce the 'salt and pepper\u2019 effect of isolated or scattered habitat pixels, a 3x3 km smoothing window was applied to each of the seasonal habitat layers, assigning the majority value (habitat or non-habitat) to the center pixel.\u00a0</div><div><br /></div><div>3. DWR biologists reviewed seasonal models (April - June 2017). An overview of the general and seasonal mapping methodology and preliminary maps was presented to GRSG biologists and managers from the Utah Division of Wildlife Resources (UDWR), Bureau of Land Management (BLM), and Forest Service (FS) at Utah State University in Logan on 4/21/17. Feedback at the meeting led to a few minor changes to the seasonal mapping methods. Because the breeding seasonal use model was not picking up areas around all active leks, distance to leks was dropped as a predictor variable from the seasonal habitat random forest model, and a 3 km buffer around all active leks was manually included in the breeding habitat model. Updated seasonal use models were sent to UDWR on 5/17/17, where they were made available for review by biologists with local area knowledge. An ArcGIS Online webpage was used to share the models with biologists, and allow for them to provide recommended additions / deletions to areas captured by the models. Accompanying the spatial data was an 8 minute webinar communicating the modelling procedure. UDWR returned updated seasonal use models with biologists\u2019 comments, additions, and deletions to USU researchers on 6/6/17. Most but not all areas in the state received substantive feedback and comments from UDWR biologists.\u00a0</div><div><br /></div><div>4. Additional review of seasonal use models and final edits performed (July \u2013 August 2017). USU researchers reviewed biologist edits on 7/13/17. Most of the areas flagged to be added/removed from the seasonal use models seemed appropriate and helpful. But, there were a few areas UDWR biologists identified to be deleted from the models that USU researchers considered questionable. These areas were identified and shared with UDWR managers on 7/13/17. UDWR managers indicated a desire to have another face to face meeting to make a final determination on areas to include / exclude from the seasonal use models. This meeting occurred on 8/8/17, at which it was determined that it would be preferable to have the final seasonal habitat products reflect both use and potential suitability, as opposed to only areas of known use. This led to rejecting some areas flagged for deletion by biologists, as biologist comments indicated they were conceptualizing the map as primarily a use map only. Numerous small edits were made to the seasonal use layers, including several edits to include seasonal use locations not captured by preliminary models. Finally, all single, isolated habitat pixels were removed from the map.\u00a0</div><div><br /></div><div>References: Breiman, L. (2001), Random Forests, Machine Learning 45(1), 5-32.Cutler, D.R., T.C. Edwards, K.H. Beard, A. Cutler, K.T Hess, J.C. Gibson and J.J. Lawler. 2007. Random forests for classification in ecology. Ecology 88(11):2783-2792.This dataset was used in the preparation of the Greater Sage-grouse (GRSG) 2018 DEIS planning maps and acreages initiated by Secretarial Order (SO) 3353 of June 7, 2017 and the Notice of Intent (NOI) of October 11, 2017. Recipient Principal Investigator/Project Manager: Terry A. Messmer, Jack H. Berryman Institute, Utah State University, 5230 Old Main Hill, Logan, Utah 84322-5230, Phone 435-797-3975, Fax 435-797-3796, E-mail terry.messmer@usu.edu Project Co-PIs and Staff: Dave Dahlgren, Eric Thacker, Kris Hulvey. Michel Kohl (Post-Doc), and Ben Crabb (GIS staff)</div>","distribution":[{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/bf1109089d344a84825ef2486c08138d/csv?layers=0","format":"CSV","mediaType":"text/csv","title":"CSV"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/bf1109089d344a84825ef2486c08138d/filegdb?layers=0","format":"ZIP","mediaType":"application/zip","title":"File Geodatabase"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/bf1109089d344a84825ef2486c08138d/geojson?layers=0","format":"GeoJSON","mediaType":"application/vnd.geo+json","title":"GeoJSON"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/bf1109089d344a84825ef2486c08138d/kml?layers=0","format":"KML","mediaType":"application/vnd.google-earth.kml+xml","title":"KML"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/bf1109089d344a84825ef2486c08138d/shapefile?layers=0","format":"ZIP","mediaType":"application/zip","title":"Shapefile"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/datasets/BLM-EGIS::blm-ut-grsg-seasonal-habitats-polygon","format":"Web Page","mediaType":"text/html","title":"ArcGIS Hub Dataset"},{"@type":"dcat:Distribution","accessURL":"https://gis.blm.gov/utarcgis/rest/services/Wildlife/BLM_UT_GRSG_Seasonal_Habitats_Polygons/FeatureServer/0","format":"ArcGIS GeoServices REST API","mediaType":"application/json","title":"ArcGIS GeoService"},{"@type":"dcat:Distribution","accessURL":"https://gis.blm.gov/utarcgis/rest/services/Wildlife/BLM_UT_GRSG_Seasonal_Habitats_Polygons/FeatureServer/0/metadata?format=iso19139","mediaType":"text/xml","title":"ISO-19139 metadata"}],"identifier":"https://blm-egis.maps.arcgis.com/home/item.html?id=bf1109089d344a84825ef2486c08138d&sublayer=0","issued":"2024-03-21T18:04:04Z","keyword":["BLM","Greater Sage-Grouse","Habitat","Habitat Management","Utah","Wildlife","boundaries","geoscientificInformation"],"landingPage":"https://gbp-blm-egis.hub.arcgis.com/datasets/BLM-EGIS::blm-ut-grsg-seasonal-habitats-polygon","license":"http://www.usa.gov/publicdomain/label/1.0/","modified":"2024-03-22T21:47:59Z","programCode":["010:000"],"publisher":{"@type":"org:Organization","name":"Bureau of Land Management"},"spatial":"-127.41,47.96,-89.8,28.77","theme":["geospatial"],"title":"BLM UT GRSG Seasonal Habitats (Polygon)"},"description":"<div>This polygon feature class represents the spatial extent and boundaries for the Utah Greater Sage-Grouse (GRSG) seasonal habitats, as modeled by the Utah State University Kohl Model Version 5. The original habitat model is clipped to a habitat buffer created by the Utah Division of Wildlife Resources. The data contains a clipped polygon for nesting, summer, and winter habitat respectively.\u00a0</div><div><br /></div><div>Process of creating habitat model, as described by the authors: The process of creating the seasonal habitats layer is described below.</div><div><br /></div><div>1. Creation of statewide general habitat model for GRSG (2016). In 2016, researchers at Utah State University (USU) developed a statewide general sage-grouse habitat map using a database of hundreds of lek locations and more than 20,000 GRSG telemetry locations collected statewide from 1998 \u2013 2014. The map depicted habitat suitability on a scale from 0 to 100 at 1 km spatial resolution, based on comparing environmental (vegetation, topography, soils, climate) and anthropogenic (developed land cover, road density, powerline density) conditions at active lek and sage-grouse use locations versus inactive lek and random background locations statewide. Because multiple telemetry locations were often associated with a single brood-rearing or non-breeding bird, the median values of environmental and anthropogenic variables at these telemetry locations were used in the model. A random forest model was used to create the map (Breiman 2001, Cutler et al. 2007). Random forests is a highly accurate non-parametric classification technique that predicts the probability of an outcome (in this case, habitat vs non-habitat) by averaging the results of many classification trees, each of which is trained on a random subset of the available data. The general habitat map was reclassified into \u2018habitat\u2019 and \u2018non-habitat\u2019 classes such that habitat areas captured 99% of all sage-grouse use locations. These general habitat areas were used as a mask in order to constrain preliminary predictions of seasonal habitats, described below.</div><div><br /></div><div>2. Create preliminary seasonal GRSG habitat models (Jan - May 2017). Telemetry locations in the database were classified into three seasonal habitat types based on time of year and type of GRSG use. Breeding habitat was defined as areas used by GRSG engaged in lekking, nesting, and early brood-rearing, from March 1 \u2013 June 14. Summer habitat was defined as areas used by brood-rearing and non-breeding GRSG from June 15 \u2013 August 31. The June 15 cutoff date between breeding and summer use locations was selected based on the temporal distribution of nesting and brooding use locations. Winter habitat was defined as areas used by non-breeding GRSG from November 1 \u2013 February 29. As in the general habitat modeling approach, environmental conditions at annual brood-rearing or non-breeding locations associated with the same bird were measured as medians over the multiple locations. Seasonal habitats were modeled using the same predictors as the general habitat model, with the addition of distance to leks due to its association with breeding habitat. A random forest model was used to estimate the suitability of general habitat areas statewide (from step 1 above) for breeding, summer, and winter use. For each seasonal use class, a suitability threshold was selected such that 85% of all seasonal use locations were captured in the resulting seasonal habitat map. This resulted in models that were neither overly restrictive nor overly liberal. To reduce the 'salt and pepper\u2019 effect of isolated or scattered habitat pixels, a 3x3 km smoothing window was applied to each of the seasonal habitat layers, assigning the majority value (habitat or non-habitat) to the center pixel.\u00a0</div><div><br /></div><div>3. DWR biologists reviewed seasonal models (April - June 2017). An overview of the general and seasonal mapping methodology and preliminary maps was presented to GRSG biologists and managers from the Utah Division of Wildlife Resources (UDWR), Bureau of Land Management (BLM), and Forest Service (FS) at Utah State University in Logan on 4/21/17. Feedback at the meeting led to a few minor changes to the seasonal mapping methods. Because the breeding seasonal use model was not picking up areas around all active leks, distance to leks was dropped as a predictor variable from the seasonal habitat random forest model, and a 3 km buffer around all active leks was manually included in the breeding habitat model. Updated seasonal use models were sent to UDWR on 5/17/17, where they were made available for review by biologists with local area knowledge. An ArcGIS Online webpage was used to share the models with biologists, and allow for them to provide recommended additions / deletions to areas captured by the models. Accompanying the spatial data was an 8 minute webinar communicating the modelling procedure. UDWR returned updated seasonal use models with biologists\u2019 comments, additions, and deletions to USU researchers on 6/6/17. Most but not all areas in the state received substantive feedback and comments from UDWR biologists.\u00a0</div><div><br /></div><div>4. Additional review of seasonal use models and final edits performed (July \u2013 August 2017). USU researchers reviewed biologist edits on 7/13/17. Most of the areas flagged to be added/removed from the seasonal use models seemed appropriate and helpful. But, there were a few areas UDWR biologists identified to be deleted from the models that USU researchers considered questionable. These areas were identified and shared with UDWR managers on 7/13/17. UDWR managers indicated a desire to have another face to face meeting to make a final determination on areas to include / exclude from the seasonal use models. This meeting occurred on 8/8/17, at which it was determined that it would be preferable to have the final seasonal habitat products reflect both use and potential suitability, as opposed to only areas of known use. This led to rejecting some areas flagged for deletion by biologists, as biologist comments indicated they were conceptualizing the map as primarily a use map only. Numerous small edits were made to the seasonal use layers, including several edits to include seasonal use locations not captured by preliminary models. Finally, all single, isolated habitat pixels were removed from the map.\u00a0</div><div><br /></div><div>References: Breiman, L. (2001), Random Forests, Machine Learning 45(1), 5-32.Cutler, D.R., T.C. Edwards, K.H. Beard, A. Cutler, K.T Hess, J.C. Gibson and J.J. Lawler. 2007. Random forests for classification in ecology. Ecology 88(11):2783-2792.This dataset was used in the preparation of the Greater Sage-grouse (GRSG) 2018 DEIS planning maps and acreages initiated by Secretarial Order (SO) 3353 of June 7, 2017 and the Notice of Intent (NOI) of October 11, 2017. Recipient Principal Investigator/Project Manager: Terry A. Messmer, Jack H. Berryman Institute, Utah State University, 5230 Old Main Hill, Logan, Utah 84322-5230, Phone 435-797-3975, Fax 435-797-3796, E-mail terry.messmer@usu.edu Project Co-PIs and Staff: Dave Dahlgren, Eric Thacker, Kris Hulvey. 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Brakebill and others, 2011).\n\t\t\nData were compiled for every MRB_E2RF1 catchment for the conterminous United States covering New England and \nMid-Atlantic (MRB1), South Atlantic-Gulf and Tennessee (MRB2), the Great Lakes, Ohio, Upper Mississippi, and \nSouris-Red-Rainy (MRB3), the Missouri (MRB4), the Lower Mississippi, Arkansas-White-Red, and Texas-Gulf (MRB5), \nthe Rio Grande, Colorado, and the Great basin (MRB6), the Pacific Northwest (MRB7) river basins, and California (MRB8).","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/5577d891-0225-41a3-995b-7741bbcc7d5b","harvest_record_raw":"https://catalog.data.gov/harvest_record/5577d891-0225-41a3-995b-7741bbcc7d5b/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_aaf1493e-d284-4b81-b5b3-a7bca1c13c63","keyword":["Average monthly minimum temperature","CALI","COGB","California","Catchment","Conterminous United States","GLMR","Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy","Inland waters","LMTG","Lower Mississippi, Arkansas-White-Red, and Texas-Gulf","MORI","MRB","MRB1","MRB2","MRB3","MRB4","MRB5","MRB6","MRB7","MRB8","MRB_E2RF1","MRB_E2RF1WS","Major River Basins","Missouri","NAWQA","NEMA","New England and Mid-Atlantic","PANW","Pacific Northwest","Rio Grande, Colorado, and Great Basin","SAGT","SPARROW","South Atlantic-Gulf and Tennessee","USGS:aaf1493e-d284-4b81-b5b3-a7bca1c13c63","environment","geoscientificInformation","inlandWaters"],"last_harvested_date":"2026-08-31T17:48:48.112944","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":3,"publisher":"U.S. Geological Survey","slug":"attributes-for-mrb_e2rf1-catchments-by-major-river-basins-in-the-conterminous-united--2002","spatial_centroid":{"lat":34.6090464,"lon":-102.8775756},"spatial_shape":{"coordinates":[[[-127.910792,23.243486],[-127.910792,51.657387],[-65.327751,51.657387],[-65.327751,23.243486],[-127.910792,23.243486]]],"type":"Polygon"},"theme":["geospatial"],"title":"Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: Average Daily Minimum Temperature, 2002","type":"dataset"},{"_score":27.734837,"_sort":[1788198270595,27.734837,1,"db6cd4ea-41e7-46dd-93d2-b776c9d5592d"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Fred D Tillman","hasEmail":"mailto:ftillman@usgs.gov"},"description":"nlcd_UCRB_daymet_resolution.txt is an Esri ASCII grid representing land cover information for the \nUpper Colorado River Basin.  The 2011 National Land Cover Database (NLCD) was used to \ncharacterize land cover in the UCRB study area.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://water.usgs.gov/lookup/getspatial?ofr_2015_1160_nlcd_daymet_resolution","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.924ba0a2-85f2-487b-b99e-885947aed7a5.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_924ba0a2-85f2-487b-b99e-885947aed7a5","keyword":["Arizona","California","Colorado","Nevada","New Mexico","USGS:924ba0a2-85f2-487b-b99e-885947aed7a5","Upper Colorado River Basin","Utah","Wyoming","environment","geoscientificInformation","groundwater","groundwater recharge","inlandWaters","land cover"],"modified":"2020-11-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-113.920363928, 34.965779618, -104.972961005, 43.986766736","theme":["geospatial"],"title":"Land Cover Information for the Upper Colorado River Basin in Daymet Climate Data resolution (nlcd_UCRB_daymet_resolution.txt)"},"description":"nlcd_UCRB_daymet_resolution.txt is an Esri ASCII grid representing land cover information for the \nUpper Colorado River Basin.  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The\nscale of this coverage is 1:2,000,000.\n\t\t\nNote:  The Soil Conservation Service now (1995) is called the Natural\nResources Conservation Service.\n\t\t\nDescriptors:\n\t\t\nLand Resource Regions\nMajor Land Resource Areas\nUnited States","distribution":[{"@type":"dcat:Distribution","accessURL":"https://water.usgs.gov/lookup/getspatial?mlra","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.9b1592e8-a33b-4ec4-8e54-33a4bf74c17c.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_9b1592e8-a33b-4ec4-8e54-33a4bf74c17c","keyword":["Land Resource Regions","Major Land Resource Areas","USGS:9b1592e8-a33b-4ec4-8e54-33a4bf74c17c","environment","geoscientificInformation","inlandWaters"],"modified":"2020-11-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-128.07002717, 22.67774911, -65.25698378, 48.26194027","theme":["geospatial"],"title":"Major Land Resource Areas (MLRA)"},"description":"This is a polygon coverage of the Land Resource Regions and Major Land\nResource Areas of the conterminous United States.  Land resource regions\nare geographic areas that are characterized by a particular pattern of\nsoils, climate, water resources and land uses. (USDA, Soil Conservation\nService, 1981).  Major land resource areas are subregions of the\nland resource regions and comprise smaller homogeneous areas. The\nscale of this coverage is 1:2,000,000.\n\t\t\nNote:  The Soil Conservation Service now (1995) is called the Natural\nResources Conservation Service.\n\t\t\nDescriptors:\n\t\t\nLand Resource Regions\nMajor Land Resource Areas\nUnited States","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/900ad03a-df4e-46a0-8225-099306fce47d","harvest_record_raw":"https://catalog.data.gov/harvest_record/900ad03a-df4e-46a0-8225-099306fce47d/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_9b1592e8-a33b-4ec4-8e54-33a4bf74c17c","keyword":["Land Resource Regions","Major Land Resource Areas","USGS:9b1592e8-a33b-4ec4-8e54-33a4bf74c17c","environment","geoscientificInformation","inlandWaters"],"last_harvested_date":"2026-08-31T17:40:09.897811","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":"major-land-resource-areas-mlra-2f668","spatial_centroid":{"lat":32.911425574,"lon":-102.944809814},"spatial_shape":{"coordinates":[[[-128.07002717,22.67774911],[-128.07002717,48.26194027],[-65.25698378,48.26194027],[-65.25698378,22.67774911],[-128.07002717,22.67774911]]],"type":"Polygon"},"theme":["geospatial"],"title":"Major Land Resource Areas (MLRA)","type":"dataset"},{"_score":8.38516,"_sort":[1788116660685,8.38516,1,"620d2f7b-4de6-49c0-9afa-fc9e1338594d"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Michael E. 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The NHDPlus includes a stream network (based on the \n1:100,00-scale NHD), improved networking, naming, and value-added attributes (VAAs). \nNHDPlus also includes elevation-derived catchments (drainage areas) produced using a \ndrainage enforcement technique first widely used in New England, and thus referred to as \n\"the New England Method.\" This technique involves \"burning in\" the 1:100,000-scale NHD \nand when available building \"walls\" using the National Watershed Boundary Dataset (WBD). \nThe resulting modified digital elevation model (HydroDEM) is used to produce hydrologic \nderivatives that agree with the NHD and WBD. Over the past two years, an interdisciplinary \nteam from the U.S. Geological Survey (USGS), and the U.S. Environmental Protection Agency \n(USEPA), and contractors, found that this method produces the best quality NHD catchments \nusing an automated process (USEPA, 2007). The NHDPlus dataset is organized by 18 \nProduction Units that cover the conterminous United States.\n\t\t\nThe NHDPlus version 1.1 data are grouped by the U.S. Geologic Survey's  Major River Basins \n(MRBs, Crawford and others, 2006).  MRB1, covering the New England and Mid-Atlantic River \nbasins, contains NHDPlus Production Units 1 and 2.  MRB2, covering the South Atlantic-Gulf \nand Tennessee River basins, contains NHDPlus Production Units 3 and 6.  MRB3, covering \nthe Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy River basins, contains \nNHDPlus Production Units 4, 5, 7 and 9.  MRB4, covering the Missouri River basins, contains \nNHDPlus Production Units 10-lower and 10-upper.  MRB5, covering the Lower Mississippi, \nArkansas-White-Red, and Texas-Gulf River basins, contains NHDPlus Production Units 8, \n11 and 12.  MRB6, covering the Rio Grande, Colorado and Great Basin River basins, contains \nNHDPlus Production Units 13, 14, 15 and 16.  MRB7, covering the Pacific Northwest River \nbasins, contains NHDPlus Production Unit 17.  MRB8, covering California River basins, contains \nNHDPlus Production Unit 18.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://water.usgs.gov/lookup/getspatial?nhd_tmax02","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.35475ddd-e876-426c-aebf-a7a41154d452.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_35475ddd-e876-426c-aebf-a7a41154d452","keyword":["Average monthly maximum temperature","CALI","COGB","California","Catchment","Conterminous United States","GLMR","Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy","Inlandwaters","LMTG","Lower Mississippi, Arkansas-White-Red, and Texas-Gulf","MORI","MRB","MRB1","MRB2","MRB3","MRB4","MRB5","MRB6","MRB7","MRB8","Major River Basin","Missouri","NAWQA","NEMA","NHDPlus","New England and Mid-Atlantic","PANW","Pacific Northwest","Rio Grande, Colorado, and Great Basin","SAGT","SPARROW","South Atlantic-Gulf and Tennessee","USGS:35475ddd-e876-426c-aebf-a7a41154d452","environment","geoscientificInformation","inlandWaters"],"modified":"2020-11-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-127.910792, 23.243486, -65.327751, 51.657387","theme":["geospatial"],"title":"Attributes for NHDPlus Catchments (Version 1.1) for the Conterminous United States: Average Annual Daily Maximum Temperature, 2002"},"description":"This data set represents the average monthly maximum temperature in Celsius multiplied by \n100 for 2002 compiled for every catchment of NHDPlus for the conterminous United States. \nThe source data were the Near-Real-Time High-Resolution Monthly Average Maximum/Minimum \nTemperature for the Conterminous United States for 2002 raster dataset produced by the Spatial \nClimate Analysis Service at Oregon State University.\n\t\t\nThe NHDPlus Version 1.1 is an integrated suite of application-ready geospatial datasets that \nincorporates many of the best features of the National Hydrography Dataset (NHD) and the \nNational Elevation Dataset (NED). The NHDPlus includes a stream network (based on the \n1:100,00-scale NHD), improved networking, naming, and value-added attributes (VAAs). \nNHDPlus also includes elevation-derived catchments (drainage areas) produced using a \ndrainage enforcement technique first widely used in New England, and thus referred to as \n\"the New England Method.\" This technique involves \"burning in\" the 1:100,000-scale NHD \nand when available building \"walls\" using the National Watershed Boundary Dataset (WBD). \nThe resulting modified digital elevation model (HydroDEM) is used to produce hydrologic \nderivatives that agree with the NHD and WBD. Over the past two years, an interdisciplinary \nteam from the U.S. Geological Survey (USGS), and the U.S. Environmental Protection Agency \n(USEPA), and contractors, found that this method produces the best quality NHD catchments \nusing an automated process (USEPA, 2007). The NHDPlus dataset is organized by 18 \nProduction Units that cover the conterminous United States.\n\t\t\nThe NHDPlus version 1.1 data are grouped by the U.S. Geologic Survey's  Major River Basins \n(MRBs, Crawford and others, 2006).  MRB1, covering the New England and Mid-Atlantic River \nbasins, contains NHDPlus Production Units 1 and 2.  MRB2, covering the South Atlantic-Gulf \nand Tennessee River basins, contains NHDPlus Production Units 3 and 6.  MRB3, covering \nthe Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy River basins, contains \nNHDPlus Production Units 4, 5, 7 and 9.  MRB4, covering the Missouri River basins, contains \nNHDPlus Production Units 10-lower and 10-upper.  MRB5, covering the Lower Mississippi, \nArkansas-White-Red, and Texas-Gulf River basins, contains NHDPlus Production Units 8, \n11 and 12.  MRB6, covering the Rio Grande, Colorado and Great Basin River basins, contains \nNHDPlus Production Units 13, 14, 15 and 16.  MRB7, covering the Pacific Northwest River \nbasins, contains NHDPlus Production Unit 17.  MRB8, covering California River basins, contains \nNHDPlus Production Unit 18.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/cffd783d-1bec-4e25-ad2f-3dcbb5c2e816","harvest_record_raw":"https://catalog.data.gov/harvest_record/cffd783d-1bec-4e25-ad2f-3dcbb5c2e816/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_35475ddd-e876-426c-aebf-a7a41154d452","keyword":["Average monthly maximum temperature","CALI","COGB","California","Catchment","Conterminous United States","GLMR","Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy","Inlandwaters","LMTG","Lower Mississippi, Arkansas-White-Red, and Texas-Gulf","MORI","MRB","MRB1","MRB2","MRB3","MRB4","MRB5","MRB6","MRB7","MRB8","Major River Basin","Missouri","NAWQA","NEMA","NHDPlus","New England and Mid-Atlantic","PANW","Pacific Northwest","Rio Grande, Colorado, and Great Basin","SAGT","SPARROW","South Atlantic-Gulf and Tennessee","USGS:35475ddd-e876-426c-aebf-a7a41154d452","environment","geoscientificInformation","inlandWaters"],"last_harvested_date":"2026-08-30T19:04:20.685504","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":"attributes-for-nhdplus-catchments-version-1-1-for-the-conterminous-united-states-aver-2002-9d20c","spatial_centroid":{"lat":34.6090464,"lon":-102.8775756},"spatial_shape":{"coordinates":[[[-127.910792,23.243486],[-127.910792,51.657387],[-65.327751,51.657387],[-65.327751,23.243486],[-127.910792,23.243486]]],"type":"Polygon"},"theme":["geospatial"],"title":"Attributes for NHDPlus Catchments (Version 1.1) for the Conterminous United States: Average Annual Daily Maximum Temperature, 2002","type":"dataset"},{"_score":25.126667,"_sort":[1788116505108,25.126667,1,"14189b6d-ab99-46df-9fa6-1d09dc2aaf4a"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Michael E. 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Network-accumulated values are computed using two methods, 1) divergence-routed and 2) total cumulative drainage area. Both approaches use a modified routing database to navigate the NHDPlus reach network to aggregate (accumulate) the metrics derived from the reach catchment scale. 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The \nmethodologies used to compute the averages and volumes for the data in this geodatabase are slightly \ndifferent for different components and models.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://water.usgs.gov/lookup/getspatial?ds777_High_Plains_water_budget_components-idw_precip_avein_4049","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.e9d1330a-40fb-4f85-b435-458f2a97c1b7.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_e9d1330a-40fb-4f85-b435-458f2a97c1b7","keyword":["Colorado","Great Plains","High Plains","High Plains aquifer","Kansas","Nebraska","New Mexico","Ogallala aquifer","Oklahoma","Precipitation","South Dakota","Texas","USGS:e9d1330a-40fb-4f85-b435-458f2a97c1b7","Weather Station data","Wyoming","aquifers","central High Plains","environment","geoscientificInformation","ground water","groundwater","inlandWaters","northern High Plains","southern High Plains"],"modified":"2020-11-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-106.019428, 31.594384, -96.222657, 43.807131","theme":["geospatial"],"title":"DS-777 Average Annual Precipitation Data, 1940 to 1949, in inches estimated from an Inverse-Distance-Weighted (IDW) interpolation for the High Plains Aquifer in Parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming"},"description":"The water-budget-components geodatabase contains selected data from maps in the, \n\"Selected Approaches to Estimate Water-Budget Components of the High Plains, 1940 \nthrough 1949 and 2000 through 2009\" report (Stanton and others, 2011).  Data were collected and synthesized \nfrom existing climate models including the Parameter-Elevation Regressions on Independent Slopes Model \n(PRISM) (Daly and others, 1994), and the Snow accumulation and ablation model (SNOW-17) (Anderson, \n2006), and used in soil-water balance models to compute various components of a water budget. 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The NHDPlus includes a stream network (based on the \n1:100,00-scale NHD), improved networking, naming, and value-added attributes (VAAs). \nNHDPlus also includes elevation-derived catchments (drainage areas) produced using a \ndrainage enforcement technique first widely used in New England, and thus referred to as \n\"the New England Method.\" This technique involves \"burning in\" the 1:100,000-scale NHD \nand when available building \"walls\" using the National Watershed Boundary Dataset (WBD). \nThe resulting modified digital elevation model (HydroDEM) is used to produce hydrologic \nderivatives that agree with the NHD and WBD. Over the past two years, an interdisciplinary \nteam from the U.S. Geological Survey (USGS), and the U.S. Environmental Protection \nAgency (USEPA), and contractors, found that this method produces the best quality NHD \ncatchments using an automated process (USEPA, 2007). 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MRB7, covering the Pacific Northwest River basins, contains NHDPlus Production Unit 17.  \nMRB8, covering California River basins, contains NHDPlus Production Unit 18.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://water.usgs.gov/lookup/getspatial?nhd_ppt02","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.07a308c4-7329-4354-a287-1d7c696b7220.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_07a308c4-7329-4354-a287-1d7c696b7220","keyword":["Average monthly precipitation","CALI","COGB","California","Catchment","Conterminous United States","GLMR","Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy","Inlandwaters","LMTG","Lower Mississippi, Arkansas-White-Red, and Texas-Gulf","MORI","MRB","MRB1","MRB2","MRB3","MRB4","MRB5","MRB6","MRB7","MRB8","Major River Basin","Missouri","NAWQA","NEMA","NHDPlus","New England and Mid-Atlantic","PANW","Pacific Northwest","Rio Grande, Colorado, and Great Basin","SAGT","SPARROW","South Atlantic-Gulf and Tennessee","USGS:07a308c4-7329-4354-a287-1d7c696b7220","environment","geoscientificInformation","inlandWaters"],"modified":"2020-11-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-127.910792, 23.243486, -65.327751, 51.657387","theme":["geospatial"],"title":"Attributes for NHDPlus Catchments (Version 1.1) for the Conterminous United States: Average Monthly Precipitation, 2002"},"description":"This data set represents the average monthly precipitation in millimeters multiplied by 100 for \n2002 compiled for every catchment of NHDPlus for the conterminous United States. 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The NHDPlus includes a stream network (based on the \n1:100,00-scale NHD), improved networking, naming, and value-added attributes (VAAs). \nNHDPlus also includes elevation-derived catchments (drainage areas) produced using a \ndrainage enforcement technique first widely used in New England, and thus referred to as \n\"the New England Method.\" This technique involves \"burning in\" the 1:100,000-scale NHD \nand when available building \"walls\" using the National Watershed Boundary Dataset (WBD). \nThe resulting modified digital elevation model (HydroDEM) is used to produce hydrologic \nderivatives that agree with the NHD and WBD. Over the past two years, an interdisciplinary \nteam from the U.S. Geological Survey (USGS), and the U.S. Environmental Protection \nAgency (USEPA), and contractors, found that this method produces the best quality NHD \ncatchments using an automated process (USEPA, 2007). The NHDPlus dataset is organized \nby 18 Production Units that cover the conterminous United States.\n\t\t\nThe NHDPlus version 1.1 data are grouped by the U.S. Geologic Survey's  Major River Basins \n(MRBs, Crawford and others, 2006).  MRB1, covering the New England and Mid-Atlantic River \nbasins, contains NHDPlus Production Units 1 and 2.  MRB2, covering the South Atlantic-Gulf \nand Tennessee River basins, contains NHDPlus Production Units 3 and 6.  MRB3, covering the \nGreat Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy River basins, contains NHDPlus \nProduction Units 4, 5, 7 and 9.  MRB4, covering the Missouri River basins, contains NHDPlus \nProduction Units 10-lower and 10-upper.  MRB5, covering the Lower Mississippi, Arkansas-White-Red, \nand Texas-Gulf River basins, contains NHDPlus Production Units 8, 11 and 12.  MRB6, covering the \nRio Grande, Colorado and Great Basin River basins, contains NHDPlus Production Units 13, 14, 15 \nand 16.  MRB7, covering the Pacific Northwest River basins, contains NHDPlus Production Unit 17.  \nMRB8, covering California River basins, contains NHDPlus Production Unit 18.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/a5a4c696-c36f-4217-9b6e-2e7001f5dd42","harvest_record_raw":"https://catalog.data.gov/harvest_record/a5a4c696-c36f-4217-9b6e-2e7001f5dd42/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_07a308c4-7329-4354-a287-1d7c696b7220","keyword":["Average monthly precipitation","CALI","COGB","California","Catchment","Conterminous United States","GLMR","Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy","Inlandwaters","LMTG","Lower Mississippi, Arkansas-White-Red, and Texas-Gulf","MORI","MRB","MRB1","MRB2","MRB3","MRB4","MRB5","MRB6","MRB7","MRB8","Major River Basin","Missouri","NAWQA","NEMA","NHDPlus","New England and Mid-Atlantic","PANW","Pacific Northwest","Rio Grande, Colorado, and Great Basin","SAGT","SPARROW","South Atlantic-Gulf and Tennessee","USGS:07a308c4-7329-4354-a287-1d7c696b7220","environment","geoscientificInformation","inlandWaters"],"last_harvested_date":"2026-08-30T18:58:26.175337","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":"attributes-for-nhdplus-catchments-version-1-1-for-the-conterminous-united-states-aver-2002-a0fde","spatial_centroid":{"lat":34.6090464,"lon":-102.8775756},"spatial_shape":{"coordinates":[[[-127.910792,23.243486],[-127.910792,51.657387],[-65.327751,51.657387],[-65.327751,23.243486],[-127.910792,23.243486]]],"type":"Polygon"},"theme":["geospatial"],"title":"Attributes for NHDPlus Catchments (Version 1.1) for the Conterminous United States: Average Monthly Precipitation, 2002","type":"dataset"},{"_score":19.386856,"_sort":[1788116151883,19.386856,4,"e2714ff8-adf8-4a22-a8eb-601f30c5f482"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Martin A. 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This data release also \nincludes the source code and Argus One GUI files used to build the models, \nthough this proprietary software is not needed to run the models as described \nin the upper-level \"readme\" file.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/F7F47M8Q","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.8ec2db4f-7c68-42da-8beb-0c4a7cb2d060.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_8ec2db4f-7c68-42da-8beb-0c4a7cb2d060","keyword":["Groundwater","InlandWaters","SUTRA","SUTRA-ice","Shenandoah National Park","Surface Water","Thermal","USGS:8ec2db4f-7c68-42da-8beb-0c4a7cb2d060","Virginia","environment","geoscientificInformation","inlandWaters","refugia"],"modified":"2020-11-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-78.378933, 38.53969, -78.347222, 38.58403","theme":["geospatial"],"title":"Modeled temperature data developed for study of shallow mountain bedrock limits seepage-based headwater climate refugia, Shenandoah National Park, Virginia: U.S. Geological Survey data release"},"description":"1D transient numerical simulations with a modified version of the SUTRA model \n(preliminary code) that accounts for variably-saturated freeze-thaw dynamics \n(e.g. McKenzie and Voss, 2013) to predict annual alluvial aquifer temperature \ndynamics using coupled fluid and heat transport physics. The model simulations \nwere run with a modified version of SUTRA_ICE (unreleased) that accomadates \na time-variable sinusiodal upper temperature boundary. 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In Soil-Water \nBalance recharge simulations, a lookup table incorporates HSG and land-cover information \nfor each grid cell to define unique runoff curve numbers, vegetation rooting depths, interception \nvalues, and maximum daily recharge values.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://water.usgs.gov/lookup/getspatial?ofr_2015_1160_hsg_maurer_resolution","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.54f57f83-ee11-44ce-82d7-bb5f1e06e86f.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_54f57f83-ee11-44ce-82d7-bb5f1e06e86f","keyword":["Arizona","California","Colorado","Nevada","New Mexico","USGS:54f57f83-ee11-44ce-82d7-bb5f1e06e86f","Upper Colorado River Basin","Utah","Wyoming","environment","geoscientificInformation","groundwater","groundwater recharge","hydrologic soil group","inlandWaters"],"modified":"2020-11-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-112.625, 35.125, -105.25, 43.75","theme":["geospatial"],"title":"Hydrologic Soil Group for the Upper Colorado River Basin in Maurer et al. 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In Soil-Water \nBalance recharge simulations, a lookup table incorporates HSG and land-cover information \nfor each grid cell to define unique runoff curve numbers, vegetation rooting depths, interception \nvalues, and maximum daily recharge values.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/53b2f66f-26b0-4c3a-81ac-2769bf42cc36","harvest_record_raw":"https://catalog.data.gov/harvest_record/53b2f66f-26b0-4c3a-81ac-2769bf42cc36/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_54f57f83-ee11-44ce-82d7-bb5f1e06e86f","keyword":["Arizona","California","Colorado","Nevada","New Mexico","USGS:54f57f83-ee11-44ce-82d7-bb5f1e06e86f","Upper Colorado River Basin","Utah","Wyoming","environment","geoscientificInformation","groundwater","groundwater recharge","hydrologic soil group","inlandWaters"],"last_harvested_date":"2026-08-30T18:52:17.040061","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":"hydrologic-soil-group-for-the-upper-colorado-river-basin-in-maurer-et-al-2002-climate-data","spatial_centroid":{"lat":38.575,"lon":-109.675},"spatial_shape":{"coordinates":[[[-112.625,35.125],[-112.625,43.75],[-105.25,43.75],[-105.25,35.125],[-112.625,35.125]]],"type":"Polygon"},"theme":["geospatial"],"title":"Hydrologic Soil Group for the Upper Colorado River Basin in Maurer et al. (2002) Climate Data resolution (hsg_UCRB_Maurer_resolution.asc)","type":"dataset"},{"_score":22.16808,"_sort":[1788115831497,22.16808,0,"b3626bf3-4768-45b8-b590-28953e6bb08d"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Michael E. Wieczorek","hasEmail":"mailto:mewieczo@usgs.gov"},"description":"This tabular data set represents mean annual water balance variables as described in Wolock and McCabe (2017)  for the period 2000-2014, detrended to 2012, compiled for the NHDPlus version 2.1 data suite (NHDPlusV2) for the conterminous United States. The detrended  variables (DT_XXX where XXX is the variable) included are: actual evapotranspiration (DT_AET) , potential evapotranspiration (PET), precipitation (DT_PPT), runoff (DT_RUN) , percent of annual precipitation as snow (DT_SNO) , soil moisture storage (DT_STO),  and temperature (DT_TAV). Linkage of these data with NHDPlusV2 is achieved through the common unique identifier COMID. The values are estimated both for: 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. The reach catchment information characterizes data at the local scale, whereas the catchments accumulated through the river network characterize cumulative upstream conditions.  The network-accumulated values are derived using two methods: 1) divergence routing and 2) total upstream routing. Both approaches use a modified routing database (Schwarz and Wieczorek, 2018) to navigate the NHDPlusV2 reach network and to aggregate (accumulate) the metrics derived from the reach catchment scale.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/F7765D7V","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.572245ece4b0b13d39138efe.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_572245ece4b0b13d39138efe","keyword":["Catchment","Inlandwaters","NAWQA","NHDPlus","SPARROW","USGS:572245ece4b0b13d39138efe","actual evapotranspiration","percent snow","potential evapotranspiration","precipitation","runoff","soil moisture","temperature","water balance model"],"modified":"2026-08-27T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-127.9108, 23.2435, -65.3278, 51.6574","theme":["geospatial"],"title":"Select Climate and Water Balance Model Attributes: Mean Annual Water Balance Variables for the Period of Record, 2000-2014 and Detrended for the Year 2012"},"description":"This tabular data set represents mean annual water balance variables as described in Wolock and McCabe (2017)  for the period 2000-2014, detrended to 2012, compiled for the NHDPlus version 2.1 data suite (NHDPlusV2) for the conterminous United States. The detrended  variables (DT_XXX where XXX is the variable) included are: actual evapotranspiration (DT_AET) , potential evapotranspiration (PET), precipitation (DT_PPT), runoff (DT_RUN) , percent of annual precipitation as snow (DT_SNO) , soil moisture storage (DT_STO),  and temperature (DT_TAV). Linkage of these data with NHDPlusV2 is achieved through the common unique identifier COMID. The values are estimated both for: 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. The reach catchment information characterizes data at the local scale, whereas the catchments accumulated through the river network characterize cumulative upstream conditions.  The network-accumulated values are derived using two methods: 1) divergence routing and 2) total upstream routing. Both approaches use a modified routing database (Schwarz and Wieczorek, 2018) to navigate the NHDPlusV2 reach network and to aggregate (accumulate) the metrics derived from the reach catchment scale.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/becf38c2-bdfb-4c4f-8b0d-bbbf07e4bab2","harvest_record_raw":"https://catalog.data.gov/harvest_record/becf38c2-bdfb-4c4f-8b0d-bbbf07e4bab2/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_572245ece4b0b13d39138efe","keyword":["Catchment","Inlandwaters","NAWQA","NHDPlus","SPARROW","USGS:572245ece4b0b13d39138efe","actual evapotranspiration","percent snow","potential evapotranspiration","precipitation","runoff","soil moisture","temperature","water balance model"],"last_harvested_date":"2026-08-30T18:50:31.497207","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":0,"publisher":"U.S. Geological Survey","slug":"attributes-for-nhdplus-version-2-1-reach-catchments-and-modified-routed-upstream-wate-2012-c96b9","spatial_centroid":{"lat":34.60906,"lon":-102.87759999999999},"spatial_shape":{"coordinates":[[[-127.9108,23.2435],[-127.9108,51.6574],[-65.3278,51.6574],[-65.3278,23.2435],[-127.9108,23.2435]]],"type":"Polygon"},"theme":["geospatial"],"title":"Select Climate and Water Balance Model Attributes: Mean Annual Water Balance Variables for the Period of Record, 2000-2014 and Detrended for the Year 2012","type":"dataset"},{"_score":21.14607,"_sort":[1788115794290,21.14607,6,"4f249afe-e9a6-4380-b47a-65326d369862"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"David Wolock","hasEmail":"mailto:dwolock@usgs.gov"},"description":"Hydrologic landscape regions (HLRs) in the United States were delineated by \nusing geographic information system (GIS) tools and statistical methods \nincluding principal components and cluster analyses. The GIS and statistical \nanalyses were applied to land-surface form, geologic texture (permeability of \nthe soil and bedrock), and climate variables that describe the physical and \nclimatic setting of 43,931 small (roughly 200 square kilometers) watersheds \nin the United States. The analyses then grouped the watersheds into 20 \nnoncontiguous regions (the HLRs) on the basis of similarities in land-surface \nform, geologic texture, and climate characteristics.\n\t\t\nThis hydrologic landscape regions dataset contains for each of the 43,931 \nwatersheds the (1) watershed identification number, (2) land-surface form, \ngeologic texture, and climate characteristics for each watershed, and (3) \nhydrologic landscape region number for each watershed.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://water.usgs.gov/lookup/getspatial?hlrus","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.b8b21593-8b79-48d8-aeab-e704f78ea2c6.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_b8b21593-8b79-48d8-aeab-e704f78ea2c6","keyword":["Hydrologic landscapes","USGS:b8b21593-8b79-48d8-aeab-e704f78ea2c6","environment","geoscientificInformation","inlandWaters"],"modified":"2020-11-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-180, 25, -60, 75","theme":["geospatial"],"title":"Hydrologic landscape regions of the United States"},"description":"Hydrologic landscape regions (HLRs) in the United States were delineated by \nusing geographic information system (GIS) tools and statistical methods \nincluding principal components and cluster analyses. The GIS and statistical \nanalyses were applied to land-surface form, geologic texture (permeability of \nthe soil and bedrock), and climate variables that describe the physical and \nclimatic setting of 43,931 small (roughly 200 square kilometers) watersheds \nin the United States. The analyses then grouped the watersheds into 20 \nnoncontiguous regions (the HLRs) on the basis of similarities in land-surface \nform, geologic texture, and climate characteristics.\n\t\t\nThis hydrologic landscape regions dataset contains for each of the 43,931 \nwatersheds the (1) watershed identification number, (2) land-surface form, \ngeologic texture, and climate characteristics for each watershed, and (3) \nhydrologic landscape region number for each watershed.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/b75773a9-ba53-4846-97ab-09c502029af0","harvest_record_raw":"https://catalog.data.gov/harvest_record/b75773a9-ba53-4846-97ab-09c502029af0/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_b8b21593-8b79-48d8-aeab-e704f78ea2c6","keyword":["Hydrologic landscapes","USGS:b8b21593-8b79-48d8-aeab-e704f78ea2c6","environment","geoscientificInformation","inlandWaters"],"last_harvested_date":"2026-08-30T18:49:54.290131","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":6,"publisher":"U.S. Geological Survey","slug":"hydrologic-landscape-regions-of-the-united-states","spatial_centroid":{"lat":45.0,"lon":-132.0},"spatial_shape":{"coordinates":[[[-180,25],[-180,75],[-60,75],[-60,25],[-180,25]]],"type":"Polygon"},"theme":["geospatial"],"title":"Hydrologic landscape regions of the United States","type":"dataset"},{"_score":27.354687,"_sort":[1788115697512,27.354687,3,"0512afc9-f4a5-42b8-ae53-c392e8e46468"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Michael E. Wieczorek","hasEmail":"mailto:mewieczo@usgs.gov"},"description":"This tabular data set represents 30 year average (1961-1990) of minimum monthly precipitation in millimeters compiled for two spatial components of the NHDPlus version 2 data suite (NHDPlusv2) for the conterminous United States; 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. This dataset can be linked to the NHDPlus version 2 data suite by the unique identifier COMID. The source data for 30 year average (1961-1990) of minimum monthly precipitation was originally PRISM-based data, with some further enhancements by ClimateSource.com and then provided to the USGS by the Environmental Protection Agency (Ryan Hill, EPA, written commun., 2011). Units are millimeters per month. It should also be noted that Climatesource.com no longer exists, however the data is free to distribute and the USGS assumes no liability with its use. It is included with this data set. Reach catchment information characterizes data at the local scale. Reach catchments accumulated upstream through the river network characterizes cumulative upstream conditions.  Network-accumulated values are computed using two methods, 1) divergence-routed and 2) total cumulative drainage area. Both approaches use a modified routing database to navigate the NHDPlus reach network to aggregate (accumulate) the metrics derived from the reach catchment scale. (Schwarz and Wieczorek, 2018).","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/F7765D7V","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.572a23c4e4b0b13d391a0142.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_572a23c4e4b0b13d391a0142","keyword":["30 year average (1961-1990) of minimum monthly precipitation in mm","Catchment","Inlandwaters","NAWQA","NHDPlus","SPARROW","USGS:572a23c4e4b0b13d391a0142"],"modified":"2026-08-27T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-127.910792, 23.243486, -65.327751, 51.657387","theme":["geospatial"],"title":"Select Climate Attributes: 30 Year Average (1961-1990) of Minimum Monthly Precipitation in mm"},"description":"This tabular data set represents 30 year average (1961-1990) of minimum monthly precipitation in millimeters compiled for two spatial components of the NHDPlus version 2 data suite (NHDPlusv2) for the conterminous United States; 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. This dataset can be linked to the NHDPlus version 2 data suite by the unique identifier COMID. The source data for 30 year average (1961-1990) of minimum monthly precipitation was originally PRISM-based data, with some further enhancements by ClimateSource.com and then provided to the USGS by the Environmental Protection Agency (Ryan Hill, EPA, written commun., 2011). Units are millimeters per month. It should also be noted that Climatesource.com no longer exists, however the data is free to distribute and the USGS assumes no liability with its use. It is included with this data set. Reach catchment information characterizes data at the local scale. Reach catchments accumulated upstream through the river network characterizes cumulative upstream conditions.  Network-accumulated values are computed using two methods, 1) divergence-routed and 2) total cumulative drainage area. Both approaches use a modified routing database to navigate the NHDPlus reach network to aggregate (accumulate) the metrics derived from the reach catchment scale. (Schwarz and Wieczorek, 2018).","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/1d63c166-604f-48ba-90ac-cc3af2c2c365","harvest_record_raw":"https://catalog.data.gov/harvest_record/1d63c166-604f-48ba-90ac-cc3af2c2c365/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_572a23c4e4b0b13d391a0142","keyword":["30 year average (1961-1990) of minimum monthly precipitation in mm","Catchment","Inlandwaters","NAWQA","NHDPlus","SPARROW","USGS:572a23c4e4b0b13d391a0142"],"last_harvested_date":"2026-08-30T18:48:17.512047","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":3,"publisher":"U.S. Geological Survey","slug":"attributes-for-nhdplus-version-2-1-catchments-and-modified-routing-of-upstream-watersheds--46def","spatial_centroid":{"lat":34.6090464,"lon":-102.8775756},"spatial_shape":{"coordinates":[[[-127.910792,23.243486],[-127.910792,51.657387],[-65.327751,51.657387],[-65.327751,23.243486],[-127.910792,23.243486]]],"type":"Polygon"},"theme":["geospatial"],"title":"Select Climate Attributes: 30 Year Average (1961-1990) of Minimum Monthly Precipitation in mm","type":"dataset"},{"_score":20.229185,"_sort":[1788115640510,20.229185,4,"002a350b-8bd2-4c4f-ada0-c453756d7d48"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Michael E. Wieczorek","hasEmail":"mailto:mewieczo@usgs.gov"},"description":"This metadata record describes a series of data sets of natural and anthropogenic landscape features linked to NHDPlus Version 2.1\u2019s (NHDPlusV2) approximately 2.7 million stream segments, their associated catchments, and their upstream watersheds within the conterminous United States. The data were linked to four spatial components of NHDPlusV2: individual reach catchments, riparian buffer zones around individual reaches, reach catchments accumulated downstream through the river network, and riparian buffer zones accumulated downstream through the river network. All data can be linked to NHDPlus using the COMID field in these tables and the ComID in the flowline shapefiles or FEATUREID in the catchment ones in the NHDPlus data suite. The datasets were derived using a topologically reconditioned version of the NHDPlusv2 routing network (Schwarz and Wieczorek, 2018). This database is used for the routing of upstream watersheds only.  No cartographic changes were made to the original NHDPlusv2 in either the flowline or reach catchment line work. These data are listed under 13 themes which include:\n1) Best Management Practices, characteristics such as agricultural management practices and land in conservation practices.\n2) Chemical, characteristics such as nitrogen application or toxicity weighted use.\n3) Climate and Water Balance Model, characteristics such as model outputs of runoff, actual evapotranspiration or ground water storage.\n4) Climate, characteristics such as mean precipitation, temperature, relative humidity, or evapotranspiration.\n5) Geology, characteristics such as Hunt or Soller surficial geologies.\n6) Hydrologic, characteristics such as base flow or infiltration excess overland flow.Hydrologic Modifications, characteristics such as dam storage or tile drains.\n7) Hydrologic Modifications, characteristics such as dam storage or tile drains.\n8) Landscape, characteristics such as NLCD, CDL or NWALT.\n9) Population Infrastructure, characteristics such as population, housing, and road densities.\n10) Regions, characteristics such as EcoRegions, Physiography or Hydrologic Landscapes.\n11) Soils, characteristics such as STATSGO, soil salinity, and soil restrictive layer.\n12) Topographic Characteristics, characteristics such as basin area, slope and elevation.\n13) Water use, characteristics such as estimated freshwater withdrawls and estimated freshwater consumption by thermo-electric power plants\nThese data allow researchers and managers to acquire landscape information for both catchments (for example, the nearby landscape flowing directly into streams) and full upstream watersheds of specific stream reaches anywhere in the within the conterminous United States without having to perform specialized geospatial processing. Aside from comma separated text files, parquet files with the same file structure were also added to each data file under each child item theme. This format will allow researchers to acquire all the information from this data release in an efficient and consistent manner by utilizing and thereby adhering to the FAIR guidelines outlined in Lightsom and others (USGS, 2022).","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/F7765D7V","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.5669a79ee4b08895842a1d47.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_5669a79ee4b08895842a1d47","keyword":["Agriculture","Atmospheric Deposition","Best Management Practices","Biological","Catchments","Climate","Demographics","Environmental assessment","Geology","Infrastructure","Inlandwaters","Land cover","Land use","NAWQA","NHDPlus version 2.1","Natural resource management","Point sources","SPARROW","Soils","Transportation","USGS:5669a79ee4b08895842a1d47","Water use","reaches","watersheds"],"modified":"2026-08-27T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-127.8904, 23.2443, -65.3278, 51.5679","theme":["geospatial"],"title":"Select Attributes for NHDPlus Version 2.1 Reach Catchments and Modified Network Routed Upstream Watersheds for the Conterminous United States (ver. 6.0, August 2026)"},"description":"This metadata record describes a series of data sets of natural and anthropogenic landscape features linked to NHDPlus Version 2.1\u2019s (NHDPlusV2) approximately 2.7 million stream segments, their associated catchments, and their upstream watersheds within the conterminous United States. The data were linked to four spatial components of NHDPlusV2: individual reach catchments, riparian buffer zones around individual reaches, reach catchments accumulated downstream through the river network, and riparian buffer zones accumulated downstream through the river network. All data can be linked to NHDPlus using the COMID field in these tables and the ComID in the flowline shapefiles or FEATUREID in the catchment ones in the NHDPlus data suite. The datasets were derived using a topologically reconditioned version of the NHDPlusv2 routing network (Schwarz and Wieczorek, 2018). This database is used for the routing of upstream watersheds only.  No cartographic changes were made to the original NHDPlusv2 in either the flowline or reach catchment line work. These data are listed under 13 themes which include:\n1) Best Management Practices, characteristics such as agricultural management practices and land in conservation practices.\n2) Chemical, characteristics such as nitrogen application or toxicity weighted use.\n3) Climate and Water Balance Model, characteristics such as model outputs of runoff, actual evapotranspiration or ground water storage.\n4) Climate, characteristics such as mean precipitation, temperature, relative humidity, or evapotranspiration.\n5) Geology, characteristics such as Hunt or Soller surficial geologies.\n6) Hydrologic, characteristics such as base flow or infiltration excess overland flow.Hydrologic Modifications, characteristics such as dam storage or tile drains.\n7) Hydrologic Modifications, characteristics such as dam storage or tile drains.\n8) Landscape, characteristics such as NLCD, CDL or NWALT.\n9) Population Infrastructure, characteristics such as population, housing, and road densities.\n10) Regions, characteristics such as EcoRegions, Physiography or Hydrologic Landscapes.\n11) Soils, characteristics such as STATSGO, soil salinity, and soil restrictive layer.\n12) Topographic Characteristics, characteristics such as basin area, slope and elevation.\n13) Water use, characteristics such as estimated freshwater withdrawls and estimated freshwater consumption by thermo-electric power plants\nThese data allow researchers and managers to acquire landscape information for both catchments (for example, the nearby landscape flowing directly into streams) and full upstream watersheds of specific stream reaches anywhere in the within the conterminous United States without having to perform specialized geospatial processing. Aside from comma separated text files, parquet files with the same file structure were also added to each data file under each child item theme. 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The methodologies \nused to compute the averages and volumes for the data in this geodatabase are slightly \ndifferent for different components and models.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://water.usgs.gov/lookup/getspatial?ds777_High_Plains_water_budget_components-prism_precip_avein_4049","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.db072ee1-887b-4321-8f3d-cf18830e7a34.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_db072ee1-887b-4321-8f3d-cf18830e7a34","keyword":["Colorado","Great Plains","High Plains","High Plains aquifer","Kansas","Nebraska","New Mexico","Ogallala aquifer","Oklahoma","Precipitation","South Dakota","Texas","USGS:db072ee1-887b-4321-8f3d-cf18830e7a34","Wyoming","aquifers","central High Plains","environment","geoscientificInformation","ground water","groundwater","inlandWaters","northern High Plains","southern High Plains"],"modified":"2020-11-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-106.022041, 31.594384, -96.233280, 43.825034","theme":["geospatial"],"title":"DS-777 Average Annual Precipitation data, 1940 to 1949, in inches estimated from the Parameter-Elevation Regressions on Independent Slopes Model (PRISM) for the High Plains Aquifer in Parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming"},"description":"The water-budget components geodatabase contains selected data from maps in the, \n\"Selected Approaches to Estimate Water-Budget Components of the High Plains, 1940 \nthrough 1949 and 2000 through 2009\" report (Stanton and others, 2011).Data were \ncollected and synthesized from existing climate models including the Parameter-Elevation \nRegressions on Independent Slopes Model (PRISM) (Daly and others, 1994), and the Snow \naccumulation and ablation model (SNOW-17) (Anderson, 2006), and used in soil-water \nbalance models to compute various components of a water budget. 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The NHDPlus includes a stream network (based on the \n1:100,00-scale NHD), improved networking, naming, and value-added attributes (VAAs). \nNHDPlus also includes elevation-derived catchments (drainage areas) produced using a \ndrainage enforcement technique first widely used in New England, and thus referred to as \n\"the New England Method.\" This technique involves \"burning in\" the 1:100,000-scale NHD \nand when available building \"walls\" using the National Watershed Boundary Dataset (WBD). \nThe resulting modified digital elevation model (HydroDEM) is used to produce hydrologic \nderivatives that agree with the NHD and WBD. Over the past two years, an interdisciplinary \nteam from the U.S. Geological Survey (USGS), and the U.S. Environmental Protection Agency \n(USEPA), and contractors, found that this method produces the best quality NHD catchments \nusing an automated process (USEPA, 2007). The NHDPlus dataset is organized by 18 Production \nUnits that cover the conterminous United States.\n\t\t\nThe NHDPlus version 1.1 data are grouped by the U.S. Geologic Survey's  Major River Basins \n(MRBs, Crawford and others, 2006).  MRB1, covering the New England and Mid-Atlantic River \nbasins, contains NHDPlus Production Units 1 and 2.  MRB2, covering the South Atlantic-Gulf \nand Tennessee River basins, contains NHDPlus Production Units 3 and 6.  MRB3, covering the \nGreat Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy River basins, contains NHDPlus \nProduction Units 4, 5, 7 and 9.  MRB4, covering the Missouri River basins, contains NHDPlus \nProduction Units 10-lower and 10-upper.  MRB5, covering the Lower Mississippi, Arkansas-White-Red, \nand Texas-Gulf River basins, contains NHDPlus Production Units 8, 11 and 12.  MRB6, covering the \nRio Grande, Colorado and Great Basin River basins, contains NHDPlus Production Units 13, 14, 15 \nand 16.  MRB7, covering the Pacific Northwest River basins, contains NHDPlus Production Unit 17.  \nMRB8, covering California River basins, contains NHDPlus Production Unit 18.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://water.usgs.gov/lookup/getspatial?nhd_tmin02","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.d1ea0022-39d2-4a45-8b9b-e5d0094aed5b.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_d1ea0022-39d2-4a45-8b9b-e5d0094aed5b","keyword":["Average monthly minimum temperature","CALI","COGB","California","Catchment","Conterminous United States","GLMR","Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy","Inlandwaters","LMTG","Lower Mississippi, Arkansas-White-Red, and Texas-Gulf","MORI","MRB","MRB1","MRB2","MRB3","MRB4","MRB5","MRB6","MRB7","MRB8","Major River Basin","Missouri","NAWQA","NEMA","NHDPlus","New England and Mid-Atlantic","PANW","Pacific Northwest","Rio Grande, Colorado, and Great Basin","SAGT","SPARROW","South Atlantic-Gulf and Tennessee","USGS:d1ea0022-39d2-4a45-8b9b-e5d0094aed5b","environment","geoscientificInformation","inlandWaters"],"modified":"2020-11-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-127.910792, 23.243486, -65.327751, 51.657387","theme":["geospatial"],"title":"Attributes for NHDPlus Catchments (Version 1.1) for the Conterminous United States: Average Annual Daily Minimum Temperature, 2002"},"description":"This data set represents the average monthly minimum temperature in Celsius multiplied by 100 \nfor 2002 compiled for every catchment of NHDPlus for the conterminous United States. 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The NHDPlus includes a stream network (based on the \n1:100,00-scale NHD), improved networking, naming, and value-added attributes (VAAs). \nNHDPlus also includes elevation-derived catchments (drainage areas) produced using a \ndrainage enforcement technique first widely used in New England, and thus referred to as \n\"the New England Method.\" This technique involves \"burning in\" the 1:100,000-scale NHD \nand when available building \"walls\" using the National Watershed Boundary Dataset (WBD). \nThe resulting modified digital elevation model (HydroDEM) is used to produce hydrologic \nderivatives that agree with the NHD and WBD. Over the past two years, an interdisciplinary \nteam from the U.S. Geological Survey (USGS), and the U.S. Environmental Protection Agency \n(USEPA), and contractors, found that this method produces the best quality NHD catchments \nusing an automated process (USEPA, 2007). The NHDPlus dataset is organized by 18 Production \nUnits that cover the conterminous United States.\n\t\t\nThe NHDPlus version 1.1 data are grouped by the U.S. Geologic Survey's  Major River Basins \n(MRBs, Crawford and others, 2006).  MRB1, covering the New England and Mid-Atlantic River \nbasins, contains NHDPlus Production Units 1 and 2.  MRB2, covering the South Atlantic-Gulf \nand Tennessee River basins, contains NHDPlus Production Units 3 and 6.  MRB3, covering the \nGreat Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy River basins, contains NHDPlus \nProduction Units 4, 5, 7 and 9.  MRB4, covering the Missouri River basins, contains NHDPlus \nProduction Units 10-lower and 10-upper.  MRB5, covering the Lower Mississippi, Arkansas-White-Red, \nand Texas-Gulf River basins, contains NHDPlus Production Units 8, 11 and 12.  MRB6, covering the \nRio Grande, Colorado and Great Basin River basins, contains NHDPlus Production Units 13, 14, 15 \nand 16.  MRB7, covering the Pacific Northwest River basins, contains NHDPlus Production Unit 17.  \nMRB8, covering California River basins, contains NHDPlus Production Unit 18.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/23709087-dd69-4ef4-a680-0ed9fcf619a5","harvest_record_raw":"https://catalog.data.gov/harvest_record/23709087-dd69-4ef4-a680-0ed9fcf619a5/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_d1ea0022-39d2-4a45-8b9b-e5d0094aed5b","keyword":["Average monthly minimum temperature","CALI","COGB","California","Catchment","Conterminous United States","GLMR","Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy","Inlandwaters","LMTG","Lower Mississippi, Arkansas-White-Red, and Texas-Gulf","MORI","MRB","MRB1","MRB2","MRB3","MRB4","MRB5","MRB6","MRB7","MRB8","Major River Basin","Missouri","NAWQA","NEMA","NHDPlus","New England and Mid-Atlantic","PANW","Pacific Northwest","Rio Grande, Colorado, and Great Basin","SAGT","SPARROW","South Atlantic-Gulf and Tennessee","USGS:d1ea0022-39d2-4a45-8b9b-e5d0094aed5b","environment","geoscientificInformation","inlandWaters"],"last_harvested_date":"2026-08-30T18:45:06.485914","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":"attributes-for-nhdplus-catchments-version-1-1-for-the-conterminous-united-states-aver-2002-faf64","spatial_centroid":{"lat":34.6090464,"lon":-102.8775756},"spatial_shape":{"coordinates":[[[-127.910792,23.243486],[-127.910792,51.657387],[-65.327751,51.657387],[-65.327751,23.243486],[-127.910792,23.243486]]],"type":"Polygon"},"theme":["geospatial"],"title":"Attributes for NHDPlus Catchments (Version 1.1) for the Conterminous United States: Average Annual Daily Minimum Temperature, 2002","type":"dataset"},{"_score":15.104088,"_sort":[1788115175001,15.104088,1,"aaf80d0d-2530-4d67-9e06-2319d317c6d3"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Jennifer S. 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The methodologies \nused to compute the averages and volumes for the data in this geodatabase are slightly \ndifferent for different components and models.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://water.usgs.gov/lookup/getspatial?ds777_High_Plains_water_budget_components-sowat_irr_avein_0009","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.02d6558f-02ec-4b01-818c-74060546c00d.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_02d6558f-02ec-4b01-818c-74060546c00d","keyword":["Colorado","Great Plains","High Plains","High Plains aquifer","Irrigation","Kansas","Nebraska","New Mexico","Ogallala aquifer","Oklahoma","SOil WATer (SOWAT) Balance Model","South Dakota","Texas","USGS:02d6558f-02ec-4b01-818c-74060546c00d","Wyoming","aquifers","central High Plains","environment","geoscientificInformation","ground water","groundwater","inlandWaters","northern High Plains","southern High Plains"],"modified":"2020-11-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-106.019428, 31.594384, -96.222657, 43.807131","theme":["geospatial"],"title":"DS-777 Average Annual Irrigation Withdrawals, 2000 to 2009, in inches, estimated from the Soil WATer (SOWAT) Balance Model for the High Plains Aquifer in Parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming"},"description":"The water-budget components geodatabase contains selected data from maps in the, \n\"Selected Approaches to Estimate Water-Budget Components of the High Plains, 1940 \nthrough 1949 and 2000 through 2009\" report (Stanton and others, 2011).Data were \ncollected and synthesized from existing climate models including the Parameter-Elevation \nRegressions on Independent Slopes Model (PRISM) (Daly and others, 1994), and the Snow \naccumulation and ablation model (SNOW-17) (Anderson, 2006), and used in soil-water \nbalance models to compute various components of a water budget. 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Reach catchments accumulated upstream through the river network characterizes cumulative upstream conditions.  Network-accumulated values are computed using two methods, 1) divergence-routed and 2) total cumulative drainage area. Both approaches use a modified routing database to navigate the NHDPlus reach network to aggregate (accumulate) the metrics derived from the reach catchment scale. (Schwarz and Wieczorek, 2018).","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/F7765D7V","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.57054a24e4b0d4e2b756d0e7.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_57054a24e4b0d4e2b756d0e7","keyword":["Inlandwaters","NAWQA","NHDPlus","SPARROW","USGS:57054a24e4b0d4e2b756d0e7","climate","relative humidity"],"modified":"2026-08-27T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-127.9108, 23.2435, -65.3278, 51.6574","theme":["geospatial"],"title":"Select Climate Attributes: PRISM 30-Year Average (1961-1990) Relative Humidity (percent)"},"description":"This tabular data set represents PRISM 30-year average (1961-1990) relative humidity (percent) compiled for two spatial components of the NHDPlus version 2 data suite (NHDPlusv2) for the conterminous United States; 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. This dataset can be linked to the NHDPlus version 2 data suite by the unique identifier COMID.  The source data for 30-year average (1961-1990) relative humidity (percent) was originally PRISM-based data, with some further enhancements by ClimateSource.com and then provided to the USGS by the Environmental Protection Agency (Ryan Hill, EPA, written commun., 2011). It should be noted this data set is discontinued and may be available only by contacting the PRISM Group at Oregon State University directly. Units are percent. Reach catchment information characterizes data at the local scale. Reach catchments accumulated upstream through the river network characterizes cumulative upstream conditions.  Network-accumulated values are computed using two methods, 1) divergence-routed and 2) total cumulative drainage area. Both approaches use a modified routing database to navigate the NHDPlus reach network to aggregate (accumulate) the metrics derived from the reach catchment scale. 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The CVHM grid has a uniform horizontal discretization of 1x1 square \nmile and is oriented parallel to the valley axis, 34 degrees west of north (Faunt, 2009). The main climatic contributors \nto the CVHM are ETo and precipitation.  Data from Parameter-Elevation Regressions on Independent Slopes Model \n(PRISM) (Climate Source, 2006) provide the temperature and precipitation on a monthly basis for a 2-kilometer grid. \nMapping land-use type and distribution is integral to calculating the crop irrigation demand and, ultimately, the water \nuse in the Central Valley. For a given land use, the demand can be calculated from two variables: crop coefficient \n(Kc) and reference evapotranspiration (ETo).  For the CVHM, ETo is calculated from the daily minimum and maximum \nair temperatures derived from PRISM data and the extraterrestrial solar radiation (Faunt, 2009, p. 151). The CVHM is \nthe most recent regional-scale model of the Central Valley developed by the U.S. Geological Survey (USGS).  The \nCVHM was developed as part of the USGS Groundwater Resources Program (see \"Foreword\", Chapter A, page iii, \nfor details).","distribution":[{"@type":"dcat:Distribution","accessURL":"https://water.usgs.gov/lookup/getspatial?pp1766_eth_prism2k_sample","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.f67e9683-884b-4a89-a444-19351293ed08.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_f67e9683-884b-4a89-a444-19351293ed08","keyword":["Alameda County","Amador County","Butte County","CV-RASA","Calaveras County","California","Central Valley","Central Valley Aquifer","Central Valley Hydrologic Model","Central Valley, California","Colusa County","Contra Costa County","El Dorado County","Fresno County","Glenn County","Groundwater Availability of the Central Valley Aquifer","Humboldt County","Kern County","Kings County","Lake County","Madera County","Mariposa County","Mendocino County","Merced County","Monterey County","Napa County","Nevada County","Placer County","Sacramento County","Sacramento Valley","San Benito County","San Joaquin County","San Joaquin Valley","San Luis Obispo County","Santa Barbara County","Santa Clara County","Shasta County","Solano County","Sonoma County","Stanislaus County","Sutter County","Tehama County","Trinity County","Tulare County","Tuolumne County","USGS:f67e9683-884b-4a89-a444-19351293ed08","Ventura County","Yolo County","Yuba County","boundary","evapotranspiration","finite-difference model grid","grid","groundwater","hydrogeology","hydrology","inlandWaters"],"modified":"2020-11-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-123.831528, 34.519871, -117.916328, 40.748631","theme":["geospatial"],"title":"Evapotranspiration Input Data for the Central Valley Hydrologic Model (CVHM)"},"description":"This digital dataset contains monthly reference evapotranspiration (ETo) data for the Central Valley Hydrologic \nModel (CVHM).  The Central Valley encompasses an approximate 50,000 square-kilometer region of California. \nThe complex hydrologic system of the Central Valley is simulated using the USGS numerical modeling code \nMODFLOW-FMP (Schmid and others, 2006b).  This simulation is referred to here as the CVHM (Faunt, 2009). \nUtilizing MODFLOW-FMP, the CVHM simulates groundwater and surface-water flow, irrigated agriculture, land \nsubsidence, and other key processes in the Central Valley on a monthly basis from 1961-2003.  The total active \nmodeled area is 20,334 square-miles on a finite-difference grid comprising 441 rows and 98 columns. Slightly \nless that 50 percent of the cells are active. The CVHM grid has a uniform horizontal discretization of 1x1 square \nmile and is oriented parallel to the valley axis, 34 degrees west of north (Faunt, 2009). The main climatic contributors \nto the CVHM are ETo and precipitation.  Data from Parameter-Elevation Regressions on Independent Slopes Model \n(PRISM) (Climate Source, 2006) provide the temperature and precipitation on a monthly basis for a 2-kilometer grid. \nMapping land-use type and distribution is integral to calculating the crop irrigation demand and, ultimately, the water \nuse in the Central Valley. For a given land use, the demand can be calculated from two variables: crop coefficient \n(Kc) and reference evapotranspiration (ETo).  For the CVHM, ETo is calculated from the daily minimum and maximum \nair temperatures derived from PRISM data and the extraterrestrial solar radiation (Faunt, 2009, p. 151). The CVHM is \nthe most recent regional-scale model of the Central Valley developed by the U.S. Geological Survey (USGS).  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Network-accumulated values are computed using two methods, 1) divergence-routed and 2) total cumulative drainage area. Both approaches use a modified routing database to navigate the NHDPlus reach network to aggregate (accumulate) the metrics derived from the reach catchment scale. 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This dataset can be linked to the NHDPlus version 2 data suite by the unique identifier COMID. The source data for mean monthly temperature (degrees Celsius) from 800 meter resolution resolution PRISM data was produced by the PRISM Group at Oregon State University. Units are degrees degrees Celsius. Reach catchment information characterizes data at the local scale. Reach catchments accumulated upstream through the river network characterizes cumulative upstream conditions.  Network-accumulated values are computed using two methods, 1) divergence-routed and 2) total cumulative drainage area. Both approaches use a modified routing database to navigate the NHDPlus reach network to aggregate (accumulate) the metrics derived from the reach catchment scale. 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Estimates of ET from the SWB model were derived by adjusting a \nspatially-variable estimate of potential ET (Hargreaves and Samani, 1985) with \nestimates of precipitation and soil-moisture (Westenbrok and others, 2010). \nThe geodatabase contains polygon and point feature classes representing the \nmodel grid cells and their centers, respectively, and two tables containing \nmean-annual and mean-seasonal estimates for each cell. Mean-annual \nestimates were computed for full calendar years (January through December) \nand are presented in inches per year (in/yr) for the 1980 through 2011 period. \nMean-seasonal estimates for spring (March through May), summer (June \nthrough August) and fall (September through November) are presented in \ninches for the 1980 through 2011 period. Mean-seasonal estimates for \nwinter (December through February), also presented in inches, were \ncalculated for December 1980 through February 2011.","distribution":[{"@type":"dcat:Distribution","accessURL":"http://doi.org/10.5066/F7X06544","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.dba98e35-d294-402c-b31e-4ee461bc6dd1.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_dba98e35-d294-402c-b31e-4ee461bc6dd1","keyword":["Alabama","Appalalachian Plateaus","Georgia","Kentucky","Maryland","Mississippi","Mississippian aquifer","New York","North Carolina","Ohio","Pennsylvania","Pennsylvanian aquifer","Permian aquifer","Soil-Water-Balance model","Tennessee","USGS:dba98e35-d294-402c-b31e-4ee461bc6dd1","Virginia","West Virginia","aquifer","environment","evapotranspiration","geoscientificInformation","groundwater","hydrologic budget","inlandWaters","precipitation","recharge"],"modified":"2020-11-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-88.992632, 31.180164, -75.057322, 43.797973","theme":["geospatial"],"title":"Mean-annual and mean-seasonal water-budget estimates from a Soil-Water-Balance model of the Appalachian Plateaus, 1980 through 2011"},"description":"As part of the U.S. Geological Survey Groundwater Resources Program study of \nAppalachian Plateaus aquifers, mean-annual and mean-seasonal water-budget \nestimates for the period 1980 through 2011 were determined  for a 162,000 \nsquare-mile area covering parts of New York, Pennsylvania, Maryland, Ohio, \nWest Virginia, Kentucky, Virginia, Tennessee, North Carolina, Georgia, Alabama, \nand Mississippi. Mean-annual and mean-seasonal precipitation, recharge, and \nactual evapotranspiration (ET) estimates were derived from annual and monthly \nSoil-Water-Balance (SWB) model (McCoy and others, 2015; Westenbroek \nand others, 2010) output and compiled in a geodatabase. Precipitation estimates \nfrom the Appalachian Plateaus SWB model were derived from daily Daymet \nclimate grids (Thornton and others, 2012). Estimates of recharge from the \nSWB model were calculated using a modified Thornthwaite-Mather soil-water \naccounting method (Thornthwaite and Mather, 1957; Westenbroek and others, \n2010). 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Both approaches use a modified routing database to navigate the NHDPlus reach network to aggregate (accumulate) the metrics derived from the reach catchment scale. 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NHDPlus also includes elevation-derived \ncatchments (drainage areas) produced using a drainage enforcement technique \nfirst widely used in New England, and thus referred to as \"the New England Method.\" \nThis technique involves \"burning in\" the 1:100,000-scale NHD and when available \nbuilding \"walls\" using the National Watershed Boundary Dataset (WBD). The resulting \nmodified digital elevation model (HydroDEM) is used to produce hydrologic derivatives \nthat agree with the NHD and WBD. Over the past two years, an interdisciplinary team \nfrom the U.S. Geological Survey (USGS), and the U.S. Environmental Protection \nAgency (USEPA), and contractors, found that this method produces the best quality \nNHD catchments using an automated process (USEPA, 2007). The NHDPlus dataset \nis organized by 18 Production Units that cover the conterminous United States.\n\t\t\nThe NHDPlus version 1.1 data are grouped by the U.S. Geologic Survey's  Major River \nBasins (MRBs, Crawford and others, 2006).  MRB1, covering the New England and \nMid-Atlantic River basins, contains NHDPlus Production Units 1 and 2.  MRB2, \ncovering the South Atlantic-Gulf and Tennessee River basins, contains NHDPlus \nProduction Units 3 and 6.  MRB3, covering the Great Lakes, Ohio, Upper Mississippi, \nand Souris-Red-Rainy River basins, contains NHDPlus Production Units 4, 5, 7 and 9.  \nMRB4, covering the Missouri River basins, contains NHDPlus Production Units 10-lower \nand 10-upper.  MRB5, covering the Lower Mississippi, Arkansas-White-Red, and \nTexas-Gulf River basins, contains NHDPlus Production Units 8, 11 and 12.  MRB6, \ncovering the Rio Grande, Colorado and Great Basin River basins, contains NHDPlus \nProduction Units 13, 14, 15 and 16.  MRB7, covering the Pacific Northwest River \nbasins, contains NHDPlus Production Unit 17.  MRB8, covering California River basins, \ncontains NHDPlus Production Unit 18.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://water.usgs.gov/lookup/getspatial?nhd_rfact30","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.ae4b5219-1f5c-4728-80fd-0a7bc11d4a40.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_ae4b5219-1f5c-4728-80fd-0a7bc11d4a40","keyword":["CALI","COGB","California","Catchment","Conterminous United States","GLMR","Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy","Inlandwaters","LMTG","Lower Mississippi, Arkansas-White-Red, and Texas-Gulf","MORI","MRB","MRB1","MRB2","MRB3","MRB4","MRB5","MRB6","MRB7","MRB8","Major River Basin","Missouri","NAWQA","NEMA","NHDPlus","New England and Mid-Atlantic","PANW","Pacific Northwest","R-factor","Rio Grande, Colorado, and Great Basin","SAGT","SPARROW","South Atlantic-Gulf and Tennessee","USGS:ae4b5219-1f5c-4728-80fd-0a7bc11d4a40","elevation","geoscientificInformation","inlandWaters"],"modified":"2020-11-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-127.910792, 23.243486, -65.327751, 51.657387","theme":["geospatial"],"title":"Attributes for NHDPlus Catchments (Version 1.1) for the Conterminous United States: Mean Annual R-factor, 1971-2000"},"description":"This data set represents the average annual R-factor, rainfall-runoff erosivity measure, \ncompiled for every catchment of NHDPlus for the conterminous United States. The \nsource data are from Christopher Daly of the Spatial Climate Analysis Service, Oregon \nState University, and George Taylor of the Oregon Climate Service, Oregon State \nUniversity (2002), who developed spatially distributed estimates of R-factor for the \nperiod 1971-2000 for the conterminous United States.\n\t\t\nThe NHDPlus Version 1.1 is an integrated suite of application-ready geospatial \ndatasets that incorporates many of the best features of the National Hydrography \nDataset (NHD) and the National Elevation Dataset (NED). The NHDPlus includes \na stream network (based on the 1:100,00-scale NHD), improved networking, naming, \nand value-added attributes (VAAs). NHDPlus also includes elevation-derived \ncatchments (drainage areas) produced using a drainage enforcement technique \nfirst widely used in New England, and thus referred to as \"the New England Method.\" \nThis technique involves \"burning in\" the 1:100,000-scale NHD and when available \nbuilding \"walls\" using the National Watershed Boundary Dataset (WBD). The resulting \nmodified digital elevation model (HydroDEM) is used to produce hydrologic derivatives \nthat agree with the NHD and WBD. Over the past two years, an interdisciplinary team \nfrom the U.S. Geological Survey (USGS), and the U.S. Environmental Protection \nAgency (USEPA), and contractors, found that this method produces the best quality \nNHD catchments using an automated process (USEPA, 2007). The NHDPlus dataset \nis organized by 18 Production Units that cover the conterminous United States.\n\t\t\nThe NHDPlus version 1.1 data are grouped by the U.S. Geologic Survey's  Major River \nBasins (MRBs, Crawford and others, 2006).  MRB1, covering the New England and \nMid-Atlantic River basins, contains NHDPlus Production Units 1 and 2.  MRB2, \ncovering the South Atlantic-Gulf and Tennessee River basins, contains NHDPlus \nProduction Units 3 and 6.  MRB3, covering the Great Lakes, Ohio, Upper Mississippi, \nand Souris-Red-Rainy River basins, contains NHDPlus Production Units 4, 5, 7 and 9.  \nMRB4, covering the Missouri River basins, contains NHDPlus Production Units 10-lower \nand 10-upper.  MRB5, covering the Lower Mississippi, Arkansas-White-Red, and \nTexas-Gulf River basins, contains NHDPlus Production Units 8, 11 and 12.  MRB6, \ncovering the Rio Grande, Colorado and Great Basin River basins, contains NHDPlus \nProduction Units 13, 14, 15 and 16.  MRB7, covering the Pacific Northwest River \nbasins, contains NHDPlus Production Unit 17.  MRB8, covering California River basins, \ncontains NHDPlus Production Unit 18.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/fe5d8ad1-5c29-4848-be80-008915244d2b","harvest_record_raw":"https://catalog.data.gov/harvest_record/fe5d8ad1-5c29-4848-be80-008915244d2b/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_ae4b5219-1f5c-4728-80fd-0a7bc11d4a40","keyword":["CALI","COGB","California","Catchment","Conterminous United States","GLMR","Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy","Inlandwaters","LMTG","Lower Mississippi, Arkansas-White-Red, and Texas-Gulf","MORI","MRB","MRB1","MRB2","MRB3","MRB4","MRB5","MRB6","MRB7","MRB8","Major River Basin","Missouri","NAWQA","NEMA","NHDPlus","New England and Mid-Atlantic","PANW","Pacific Northwest","R-factor","Rio Grande, Colorado, and Great Basin","SAGT","SPARROW","South Atlantic-Gulf and Tennessee","USGS:ae4b5219-1f5c-4728-80fd-0a7bc11d4a40","elevation","geoscientificInformation","inlandWaters"],"last_harvested_date":"2026-08-30T17:54:39.452661","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":"attributes-for-nhdplus-catchments-version-1-1-for-the-conterminous-united-states-1971-2000","spatial_centroid":{"lat":34.6090464,"lon":-102.8775756},"spatial_shape":{"coordinates":[[[-127.910792,23.243486],[-127.910792,51.657387],[-65.327751,51.657387],[-65.327751,23.243486],[-127.910792,23.243486]]],"type":"Polygon"},"theme":["geospatial"],"title":"Attributes for NHDPlus Catchments (Version 1.1) for the Conterminous United States: Mean Annual R-factor, 1971-2000","type":"dataset"},{"_score":20.54264,"_sort":[1788111784095,20.54264,2,"6e42dd7b-c9fe-4103-b683-982ef9f54847"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Center Director","hasEmail":"mailto:mierardi@usgs.gov"},"description":"A MODFLOW-2005 model, using the SWI2 package, was developed for the Sandy Hook Unit, \nGateway National Recreation Area (hereafter Sandy Hook) in New Jersey to evaluate the \nresponse of groundwater resources to expected sea-level rise (SLR) and changes in \ngroundwater recharge associated with global climate change. The National Park Service (NPS), \namong other agencies, is mandated to evaluate the effects of global climate change on NPS \nparks and promote resiliency and sustainability of park resources to the extent possible. Sandy \nHook is visited by thousands of people each year who take advantage of the historical and natural \nresources and recreational opportunities which are threatened by global climate change, including \nSLR, changes in precipitation and groundwater recharge, and changes in the frequency and \nseverity of coastal storms.  Fresh groundwater resources are important to the ecosystems of \nSandy Hook.  The Bayside Holly Forest, one of only two known old-growth American holly \n(Ilex opaca) maritime forests, is particularly vulnerable to global climate change because of the \nproximity of the water table to land surface in low-lying areas and the potential for saltwater \nintrusion and inundation.  Groundwater-flow simulations completed for this study include a \nBaseline scenario, three SLR scenarios (0.2, 0.4, and 0.6 meters [m]),  two Recharge \nscenarios\u2014a 10-percent Increased Recharge scenario and a 10-percent Decreased Recharge \nscenario\u2014and a scenario with 0.6 m of SLR and 10-percent increase in recharge.  Understanding \nthe possible effects of SLR and changes in recharge will allow the NPS to allocate scarce \nresources to best prepare for and manage climate-change-driven changes in the groundwater \nsystem and the subsequent effects on park ecosystems. This USGS data release contains \nall of the input and output files for the simulations described in the associated model \ndocumentation report (https://doi.org/10.3133/sir20205080).","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/F7BP018M","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.d806c8b2-60ce-4a4c-9460-7002e2b6b0ce.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_d806c8b2-60ce-4a4c-9460-7002e2b6b0ce","keyword":["Gateway National Recreation Area","Groundwater","Groundwater Model","MODFLOW-2005","Monmouth County","New Jersey","SWI2","Saltwater Intrusion","Sandy Hook","Sea-Level Rise","USGS:d806c8b2-60ce-4a4c-9460-7002e2b6b0ce","environment","geoscientificInformation","inlandWaters","usgsgroundwatermodel"],"modified":"2021-07-07T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-74.026267, 40.398602, -73.971351, 40.484865","theme":["geospatial"],"title":"MODFLOW-2005 with SWI2 used to evaluate the water-table response to sea-level rise and change in recharge, Sandy Hook Unit, Gateway National Recreation Area, New Jersey"},"description":"A MODFLOW-2005 model, using the SWI2 package, was developed for the Sandy Hook Unit, \nGateway National Recreation Area (hereafter Sandy Hook) in New Jersey to evaluate the \nresponse of groundwater resources to expected sea-level rise (SLR) and changes in \ngroundwater recharge associated with global climate change. The National Park Service (NPS), \namong other agencies, is mandated to evaluate the effects of global climate change on NPS \nparks and promote resiliency and sustainability of park resources to the extent possible. Sandy \nHook is visited by thousands of people each year who take advantage of the historical and natural \nresources and recreational opportunities which are threatened by global climate change, including \nSLR, changes in precipitation and groundwater recharge, and changes in the frequency and \nseverity of coastal storms.  Fresh groundwater resources are important to the ecosystems of \nSandy Hook.  The Bayside Holly Forest, one of only two known old-growth American holly \n(Ilex opaca) maritime forests, is particularly vulnerable to global climate change because of the \nproximity of the water table to land surface in low-lying areas and the potential for saltwater \nintrusion and inundation.  Groundwater-flow simulations completed for this study include a \nBaseline scenario, three SLR scenarios (0.2, 0.4, and 0.6 meters [m]),  two Recharge \nscenarios\u2014a 10-percent Increased Recharge scenario and a 10-percent Decreased Recharge \nscenario\u2014and a scenario with 0.6 m of SLR and 10-percent increase in recharge.  Understanding \nthe possible effects of SLR and changes in recharge will allow the NPS to allocate scarce \nresources to best prepare for and manage climate-change-driven changes in the groundwater \nsystem and the subsequent effects on park ecosystems. This USGS data release contains \nall of the input and output files for the simulations described in the associated model \ndocumentation report (https://doi.org/10.3133/sir20205080).","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/7258e880-674d-4b3b-997e-39a0555f3482","harvest_record_raw":"https://catalog.data.gov/harvest_record/7258e880-674d-4b3b-997e-39a0555f3482/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_d806c8b2-60ce-4a4c-9460-7002e2b6b0ce","keyword":["Gateway National Recreation Area","Groundwater","Groundwater Model","MODFLOW-2005","Monmouth County","New Jersey","SWI2","Saltwater Intrusion","Sandy Hook","Sea-Level Rise","USGS:d806c8b2-60ce-4a4c-9460-7002e2b6b0ce","environment","geoscientificInformation","inlandWaters","usgsgroundwatermodel"],"last_harvested_date":"2026-08-30T17:43:04.095378","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":2,"publisher":"U.S. Geological Survey","slug":"modflow-2005-with-swi2-used-to-evaluate-the-water-table-response-to-sea-level-rise-and-cha","spatial_centroid":{"lat":40.433107199999995,"lon":-74.0043006},"spatial_shape":{"coordinates":[[[-74.026267,40.398602],[-74.026267,40.484865],[-73.971351,40.484865],[-73.971351,40.398602],[-74.026267,40.398602]]],"type":"Polygon"},"theme":["geospatial"],"title":"MODFLOW-2005 with SWI2 used to evaluate the water-table response to sea-level rise and change in recharge, Sandy Hook Unit, Gateway National Recreation Area, New Jersey","type":"dataset"},{"_score":23.787556,"_sort":[1788111598482,23.787556,3,"272acb24-46c5-409d-b346-e6a91e941712"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Michael E. 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RiverWare was used for this project because of its ability to simulate water use, reservoir operations, and local/interstate regulations.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.21429/5str-pd87","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.5283931a-03e1-4d16-8601-b9082341e668.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_5283931a-03e1-4d16-8601-b9082341e668","keyword":["Choctaw Nation","Climate Change","Oklahoma","Red River Basin","Regulated Streamflow","RiverWare","Southeastern Oklahoma","The Chickasaw Nation","USGS:5283931a-03e1-4d16-8601-b9082341e668","Water Availability","environment"],"modified":"2026-08-26T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-98.4822, 33.6143, -94.4098, 35.4794","theme":["geospatial"],"title":"Simulated Daily Regulated Flow data for Southeast Oklahoma"},"description":"RiverWare simulated daily regulated streamflow data for modeled locations in the spatially refined model region within the Red River Basin. 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The alternate allele (i.e., variant) at this locus was associated with biologically significant increases in elevation and precipitation, decreases in temperature, and was nearly private to herds occupying the Great Basin ecosystem. Our results suggest climate conditions at higher latitudes may have resulted in a distinct ecotype of desert bighorn sheep whose adaptations are still apparent among the few remaining indigenous populations in the Great Basin. We also found 2 highly supported candidate genes in the genomic region linked to this outlier. How the molecular function of these candidate genes may affect physiological response of desert bighorn sheep to climate is unclear, although their identification provides new insight into the genetic mechanisms potentially underlying environmental adaptation. We identified several other loci under strong directional selection not related to climate and described a previously unknown pattern of strong genetic divergence of bighorn sheep within the White Mountains compared to other populations. Overall, these findings suggest selection from environmental factors may influence genomic variation at the ecosystem-scale in desert bighorn sheep and these results extend our understanding of how this subspecies may respond to different environmental conditions.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P973OBB0","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.5c1a995be4b0708288c59a87.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_5c1a995be4b0708288c59a87","keyword":["Arizona","California","Genetic capacity","Nevada","USGS:5c1a995be4b0708288c59a87","biota","desert bighorn sheep"],"modified":"2020-08-14T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-118.3300, 32.5100, -112.7000, 37.9600","theme":["geospatial"],"title":"Evaluating Adaptive Capacity of Desert Bighorn Sheep to Climate Change: Identifying Genetic to Climate Adaptations in Native and Reintroduced Populations-Major Allele Frequency by Population"},"description":"Natural selection may result in local adaptation to different environmental conditions across the range of a species. 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A wet event is defined as a period when the number of consecutive days with precipitation equals or exceeds 1 millimeter.  A dry event is defined as a period when the number of consecutive days with precipitation equals 0 millimeters. This dataset can be linked to the NHDPlus version 2 data suite by the unique identifier COMID. The source data for 30 year (1981-2010) annual average duration of consecutive wet and dry events was a 1-kilometer resolution GeoTIFF file that was produced and acquired from DAYMET (2018). Reach catchment information characterizes data at the local scale. Reach catchments accumulated upstream through the river network characterizes cumulative upstream conditions.  Network-accumulated values are computed using two methods, 1) divergence-routed and 2) total cumulative drainage area. Both approaches use a modified routing database to navigate the NHDPlus reach network to aggregate (accumulate) the metrics derived from the reach catchment scale. (Schwarz and Wieczorek, 2018).","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/eda3c37b-1658-42c1-bb9a-452df90b843a","harvest_record_raw":"https://catalog.data.gov/harvest_record/eda3c37b-1658-42c1-bb9a-452df90b843a/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_63978f0ad34e0de3a1f065d1","keyword":["DAYMET","NHDPlus version 2.1","USGS:63978f0ad34e0de3a1f065d1","consecutive dry days","consecutive wet days","conterminous United States","duration of events","inlandWaters","precipitation"],"last_harvested_date":"2026-08-29T18:53:55.578965","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":2,"publisher":"U.S. Geological Survey","slug":"attributes-for-nhdplus-version-2-1-reach-catchments-and-modified-routed-upstream-watershed-4b65f","spatial_centroid":{"lat":34.57278,"lon":-103.12939999999999},"spatial_shape":{"coordinates":[[[-129.7712,21.0821],[-129.7712,54.8088],[-63.1667,54.8088],[-63.1667,21.0821],[-129.7712,21.0821]]],"type":"Polygon"},"theme":["geospatial"],"title":"Select Climate Attributes: 30 year (1981 - 2010) annual average duration of consecutive dry and wet days for the conterminous United States","type":"dataset"},{"_score":26.346647,"_sort":[1788029511588,26.346647,0,"92010d9c-7681-46a5-9caa-46429e242ad6"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas","hasEmail":"mailto:enviroatlas@epa.gov"},"describedByType":"application/octet-stream","description":"This annual data was accessed from the PRISM project website (https://prism.oregonstate.edu/normals_other/public/usvi/grids/) and has a spatial resolution of 3 arcsec (80 m). The three climatic variables included in the dataset are total precipitation (inches), maximum temperature (degrees Fahrenheit), and minimum temperature (degrees Fahrenheit). PRISM Climate Group at Oregon State University used climate observations from monitoring stations and interpolated to a gridded format using the PRISM model (Parameter-elevation Regressions on Independent Slopes Model). Interpolation was trained using a DEM (digital elevation model) to improve performance in mountainous regions.  \n\nThe PRISM temperature data were originally reported in \u00b0C but were converted to \u00b0F. The PRISM precipitation data were originally reported in millimeters but were converted to inches.\n\nThis dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).\n\nFrom Original PRISM Metadata (https://prism.oregonstate.edu/normals_other/public/usvi/metadata/): \n\nAbstract: \n\nMonthly and annual 30-year \"normal\" dataset covering the Virgin Islands, averaged over the climatological period 1971\u20132000. Contains spatially gridded average monthly and annual precipitation and temperature at 80m grid cell resolution. Distribution of the point measurements to the spatial grid was accomplished using the PRISM model, developed and applied by Dr. Christopher Daly of the PRISM Climate Group at Oregon State University. This dataset is available free-of-charge on the PRISM website.\n\nPurpose:\n\nDisplay and/or analysis requiring spatially distributed monthly and annual precipitation and temperature for the climatological period 1971\u20132000.\n\nSupplementary Information: \n\nThere are many methods of interpolating climate from monitoring stations to grid points. Some provide estimates of acceptable accuracy in flat terrain, but few have been able to adequately explain the extreme, complex variations in climate that occur in mountainous regions. Significant progress in this area has been achieved through the development of PRISM (Parameter-elevation Regressions on Independent Slopes Model). PRISM is an analytical model that uses point data and an underlying grid such as a digital elevation model (DEM) or a 30 yr climatological average (e.g. 1981-2010 average) to generate gridded estimates of monthly or annual precipitation and temperature (as well as other climatic parameters). PRISM is well suited to regions with mountainous terrain, because it incorporates a conceptual framework that addresses the spatial scale and pattern of orographic processes. Grids were modeled on a monthly basis. Annual grids were produced by averaging (temperatures) or summing (precipitation) the monthly grids.\n\nLogic: \n\nPoint estimates of precipitation and temperature originated from some or all of the following sources: 1) National Weather Service (NWS) Cooperative (COOP) stations, 2) Natural Resources Conservation Service (NRCS) SNOTEL, 3) United States Forest Service (USFS) and Bureau of Land Management (BLM) RAWS Stations, 4) Bureau of Reclemation (AGRIMET) stations, 5) California Data Exchange Center (CDEC) stations, 6) Storage guages, 7) NRCS Snowcourse stations, 8) Other State and local station networks, 9) Estimated station data, 10) Canadian stations, 11) Upper air stations, 12) NWS/Federal Aviation Administration (FAA) Automated surface observation stations (ASOS), and 13) CoCoRaHS (Community Collaborative Rain, Hail, and Snow Network) stations. All COOP station data were subjected to quality control checks by the National Climatic Data Center (NCDC). All COOP, SNOTEL and other data were subjected to further quality control checks by PRISM Climate Group at Oregon State University.","distribution":[{"@type":"dcat:Distribution","describedByType":"application/octet-stream","downloadURL":"https://enviroatlas.epa.gov/download/PRISM_30yr_normals_precipitation_inches_USVI_1971_2000.zip","format":"ZIP","mediaType":"application/zip"},{"@type":"dcat:Distribution","describedByType":"application/octet-stream","downloadURL":"https://enviroatlas.epa.gov/download/PRISM_30yr_normals_maximum_temperature_degF_USVI_1971_2000.zip","format":"ZIP","mediaType":"application/zip"},{"@type":"dcat:Distribution","describedByType":"application/octet-stream","downloadURL":"https://enviroatlas.epa.gov/download/PRISM_30yr_normals_minimum_temperature_degF_USVI_1971_2000.zip","format":"ZIP","mediaType":"application/zip"},{"@type":"dcat:Distribution","accessURL":"https://enviroatlas.epa.gov/arcgis/rest/services/PRISM/PRISM_30yr_normals_precipitation_inches_PRVI/ImageServer","describedByType":"application/octet-stream","mediaType":"text/html"},{"@type":"dcat:Distribution","accessURL":"https://enviroatlas.epa.gov/arcgis/rest/services/PRISM/PRISM_30yr_normals_maximum_temperature_degF_PRVI/ImageServer","describedByType":"application/octet-stream","mediaType":"text/html"},{"@type":"dcat:Distribution","accessURL":"https://enviroatlas.epa.gov/arcgis/rest/services/PRISM/PRISM_30yr_normals_minimum_temperature_degF_PRVI/ImageServer","describedByType":"application/octet-stream","mediaType":"text/html"},{"@type":"dcat:Distribution","accessURL":"https://www.epa.gov/enviroatlas/enviroatlas-data","describedByType":"application/octet-stream","mediaType":"text/html"},{"@type":"dcat:Distribution","accessURL":"https://www.epa.gov/enviroatlas","describedByType":"application/octet-stream","mediaType":"text/html"}],"identifier":"https://edg.epa.gov/WAFer_harvest/ISO/enviroatlas-metadata-waf_PRISM_30yr_normals_USVI_1971_2000.xml","issued":"2005-04-01T00:00:00.000+00:00","keyword":["United States","Virgin Islands","Climate","Ecosystem","Environment","Hazards","Human","Impact","Modeling","Risk","Water","020:072","Ecosystem Services","EnviroAtlas","Environment","Environmental Atlas","Human Well-being","Sustainability"],"language":[],"license":"https://creativecommons.org/publicdomain/zero/1.0/","modified":"2025-09-29T00:00:00.000+00:00","publisher":{"@type":"org:Organization","name":"U.S. EPA Office of Research and Development (ORD) - Center for Public Health and Environmental Assessment (CPHEA)"},"spatial":"-64.035199,17.5815,-65.310645,18.842597","temporal":"1971-01-01T00:00:00+00:00/2000-12-31T00:00:00+00:00","theme":["geospatial"],"title":"EnviroAtlas - PRISM 30-Year Normal Annual Precipitation and Minimum and Maximum Temperature for US Virgin Islands (1971\u20132000)"},"description":"This annual data was accessed from the PRISM project website (https://prism.oregonstate.edu/normals_other/public/usvi/grids/) and has a spatial resolution of 3 arcsec (80 m). The three climatic variables included in the dataset are total precipitation (inches), maximum temperature (degrees Fahrenheit), and minimum temperature (degrees Fahrenheit). PRISM Climate Group at Oregon State University used climate observations from monitoring stations and interpolated to a gridded format using the PRISM model (Parameter-elevation Regressions on Independent Slopes Model). Interpolation was trained using a DEM (digital elevation model) to improve performance in mountainous regions.  \n\nThe PRISM temperature data were originally reported in \u00b0C but were converted to \u00b0F. The PRISM precipitation data were originally reported in millimeters but were converted to inches.\n\nThis dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).\n\nFrom Original PRISM Metadata (https://prism.oregonstate.edu/normals_other/public/usvi/metadata/): \n\nAbstract: \n\nMonthly and annual 30-year \"normal\" dataset covering the Virgin Islands, averaged over the climatological period 1971\u20132000. Contains spatially gridded average monthly and annual precipitation and temperature at 80m grid cell resolution. Distribution of the point measurements to the spatial grid was accomplished using the PRISM model, developed and applied by Dr. Christopher Daly of the PRISM Climate Group at Oregon State University. This dataset is available free-of-charge on the PRISM website.\n\nPurpose:\n\nDisplay and/or analysis requiring spatially distributed monthly and annual precipitation and temperature for the climatological period 1971\u20132000.\n\nSupplementary Information: \n\nThere are many methods of interpolating climate from monitoring stations to grid points. Some provide estimates of acceptable accuracy in flat terrain, but few have been able to adequately explain the extreme, complex variations in climate that occur in mountainous regions. Significant progress in this area has been achieved through the development of PRISM (Parameter-elevation Regressions on Independent Slopes Model). PRISM is an analytical model that uses point data and an underlying grid such as a digital elevation model (DEM) or a 30 yr climatological average (e.g. 1981-2010 average) to generate gridded estimates of monthly or annual precipitation and temperature (as well as other climatic parameters). PRISM is well suited to regions with mountainous terrain, because it incorporates a conceptual framework that addresses the spatial scale and pattern of orographic processes. Grids were modeled on a monthly basis. Annual grids were produced by averaging (temperatures) or summing (precipitation) the monthly grids.\n\nLogic: \n\nPoint estimates of precipitation and temperature originated from some or all of the following sources: 1) National Weather Service (NWS) Cooperative (COOP) stations, 2) Natural Resources Conservation Service (NRCS) SNOTEL, 3) United States Forest Service (USFS) and Bureau of Land Management (BLM) RAWS Stations, 4) Bureau of Reclemation (AGRIMET) stations, 5) California Data Exchange Center (CDEC) stations, 6) Storage guages, 7) NRCS Snowcourse stations, 8) Other State and local station networks, 9) Estimated station data, 10) Canadian stations, 11) Upper air stations, 12) NWS/Federal Aviation Administration (FAA) Automated surface observation stations (ASOS), and 13) CoCoRaHS (Community Collaborative Rain, Hail, and Snow Network) stations. All COOP station data were subjected to quality control checks by the National Climatic Data Center (NCDC). All COOP, SNOTEL and other data were subjected to further quality control checks by PRISM Climate Group at Oregon State University.","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/86e9cc3b-8a98-4e0c-bf97-b0d6302cc671","harvest_record_raw":"https://catalog.data.gov/harvest_record/86e9cc3b-8a98-4e0c-bf97-b0d6302cc671/raw","harvest_record_transformed":"https://catalog.data.gov/harvest_record/86e9cc3b-8a98-4e0c-bf97-b0d6302cc671/transformed","has_download":true,"has_spatial":true,"identifier":"https://edg.epa.gov/WAFer_harvest/ISO/enviroatlas-metadata-waf_PRISM_30yr_normals_USVI_1971_2000.xml","keyword":["United States","Virgin Islands","Climate","Ecosystem","Environment","Hazards","Human","Impact","Modeling","Risk","Water","020:072","Ecosystem Services","EnviroAtlas","Environment","Environmental Atlas","Human Well-being","Sustainability"],"last_harvested_date":"2026-08-29T18:51:51.588676","organization":{"aliases":["EPA"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"82b85475-f85d-404a-b95b-89d1a42e9f6b","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/epa.png","name":"U.S. Environmental Protection Agency","organization_type":"Federal Government","slug":"epa"},"parent_identifier":null,"popularity":0,"publisher":"U.S. EPA Office of Research and Development (ORD) - Center for Public Health and Environmental Assessment (CPHEA)","slug":"enviroatlas-prism-30-year-normal-annual-precipitation-and-minimum-and-maximum-temperature--73091","spatial_centroid":{"lat":18.0859388,"lon":-64.5453774},"spatial_shape":{"coordinates":[[[-64.035199,17.5815],[-64.035199,18.842597],[-65.310645,18.842597],[-65.310645,17.5815],[-64.035199,17.5815]]],"type":"Polygon"},"theme":["geospatial"],"title":"EnviroAtlas - PRISM 30-Year Normal Annual Precipitation and Minimum and Maximum Temperature for US Virgin Islands (1971\u20132000)","type":"dataset"},{"_score":24.707005,"_sort":[1788029510168,24.707005,0,"4a22fdac-f12f-44f4-ad72-2e3131d5a81b"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas","hasEmail":"mailto:enviroatlas@epa.gov"},"describedByType":"application/octet-stream","description":"This annual data was accessed from the PRISM project website (https://https://prism.oregonstate.edu/normals_other/public/pr/grids/) and has a spatial resolution of 15 arcsec (400 m). The three climatic variables included in the dataset are total precipitation (inches), maximum temperature (degrees Fahrenheit), and minimum temperature (degrees Fahrenheit). PRISM Climate Group at Oregon State University used climate observations from monitoring stations and interpolated to a gridded format using the PRISM model (Parameter-elevation Regressions on Independent Slopes Model). Interpolation was trained using a DEM (digital elevation model) to improve performance in mountainous regions.  \n\t\t\n\t\tDatasets for other the U.S. Virgin Islands was produced separately; metadata for the U.S. VI datasets may be found here: https://enviroatlas.epa.gov/enviroatlas/MetadataFGDC/PRISM_30yr_normals_USVI_1971_2000.xml\n\nThe PRISM temperature data were originally reported in \u00b0C but were converted to \u00b0F. The PRISM precipitation data were originally reported in millimeters but were converted to inches.\n\nThis dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).\n\nOriginal PRISM Metadata (https://prism.oregonstate.edu/normals_other/public/pr/metadata/): \n\nAbstract: \n\nMonthly 33-year \"normal\" dataset covering Puerto Rico, averaged over the climatological period 1963\u20131995. Contains spatially gridded average annual precipitation and temperature at 450m grid cell resolution. Distribution of the point measurements to the spatial grid was accomplished using the PRISM model, developed and applied by Dr. Christopher Daly of the PRISM Climate Group at Oregon State University. This dataset was heavily peer reviewed, and is available free-of-charge on the PRISM website.\n\nPurpose:\n\nDisplay and/or analysis requiring spatially distributed annual precipitation and temperature for the climatological period 1963\u20131995.\n\nSupplementary Information: \n\nSpatially explicit climate data contribute to watershed resource management, mapping vegetation type with satellite imagery, mapping present and hypothetical future ecological zones, and predicting species distributions. The regression based Parameter-elevation Regressions on Independent Slopes Model (PRISM) uses spatial data sets, a knowledge base and expert interaction to generate GIS-compatible grids of climate variables. This study applied PRISM to generate maps of mean monthly and annual precipitation and minimum and maximum temperature for the Caribbean islands of Puerto Rico, Vieques and Culebra over the 1963\u20131995 averaging period. PRISM was run under alternative parameterizations that simulated simpler interpolation methods as well as the full PRISM model. For temperature, the standard PRISM parameterization was compared to a hypsometric method, in which the temperature/elevation slope was assumed to be -6.5\u00b0C/km (HYPS). For precipitation, the standard PRISM parameterization was compared to an inverse-distance weighting interpolation (IDW). Spatial temperature patterns were linked closely to elevation, topographic position, and coastal proximity. Both PRISM and HYPS performed well for July maximum temperature, but HYPS performed relatively poorly for January minimum temperature, due primarily to lack of a spatially varying temperature/elevation slope, vertical atmospheric layer definition, and coastal proximity guidance. Mean monthly precipitation varied significantly throughout the year, reflecting seasonally differing moisture trajectories. Spatial precipitation patterns were associated most strongly with elevation, upslope exposure to predominant moisture-bearing winds, and proximity to the ocean. IDW performed poorly compared to PRISM, due largely to the lack of elevation and moisture availability information. Overall, the full PRISM approach resulted in greatly improved performance over simpler methods for precipitation and January minimum temperature, but only a small improvement for July maximum temperature. Comparisons of PRISM mean annual temperature and precipitation maps to previously-published, hand-drawn maps showed similar overall patterns and magnitudes, but the PRISM maps provided much more spatial detail.","distribution":[{"@type":"dcat:Distribution","describedByType":"application/octet-stream","downloadURL":"https://enviroatlas.epa.gov/download/PRISM_30yr_normals_minimum_temperature_degF_PR_1963_1995.zip","format":"ZIP","mediaType":"application/zip"},{"@type":"dcat:Distribution","describedByType":"application/octet-stream","downloadURL":"https://enviroatlas.epa.gov/download/PRISM_30yr_normals_maximum_temperature_degF_PR_1963_1995.zip","format":"ZIP","mediaType":"application/zip"},{"@type":"dcat:Distribution","describedByType":"application/octet-stream","downloadURL":"https://enviroatlas.epa.gov/download/PRISM_30yr_normals_precipitation_inches_PR_1963_1995.zip","format":"ZIP","mediaType":"application/zip"},{"@type":"dcat:Distribution","accessURL":"https://enviroatlas.epa.gov/arcgis/rest/services/PRISM/PRISM_30yr_normals_precipitation_inches_PRVI/ImageServer","describedByType":"application/octet-stream","mediaType":"text/html"},{"@type":"dcat:Distribution","accessURL":"https://enviroatlas.epa.gov/arcgis/rest/services/PRISM/PRISM_30yr_normals_maximum_temperature_degF_PRVI/ImageServer","describedByType":"application/octet-stream","mediaType":"text/html"},{"@type":"dcat:Distribution","accessURL":"https://enviroatlas.epa.gov/arcgis/rest/services/PRISM/PRISM_30yr_normals_minimum_temperature_degF_PRVI/ImageServer","describedByType":"application/octet-stream","mediaType":"text/html"},{"@type":"dcat:Distribution","accessURL":"https://www.epa.gov/enviroatlas/enviroatlas-data","describedByType":"application/octet-stream","mediaType":"text/html"},{"@type":"dcat:Distribution","accessURL":"https://www.epa.gov/enviroatlas","describedByType":"application/octet-stream","mediaType":"text/html"}],"identifier":"https://edg.epa.gov/WAFer_harvest/ISO/enviroatlas-metadata-waf_PRISM_30yr_normals_PR_1963_1995.xml","issued":"2003-01-01T00:00:00.000+00:00","keyword":["Puerto Rico","United States","Climate","Ecosystem","Environment","Hazards","Human","Impact","Modeling","Risk","Water","020:072","Ecosystem Services","EnviroAtlas","Environment","Environmental Atlas","Human Well-being","Sustainability"],"language":[],"license":"https://creativecommons.org/publicdomain/zero/1.0/","modified":"2025-09-29T00:00:00.000+00:00","publisher":{"@type":"org:Organization","name":"U.S. EPA Office of Research and Development (ORD) - Center for Public Health and Environmental Assessment (CPHEA)"},"spatial":"-64.992242,17.864565,-67.322226,18.557442","temporal":"1963-01-01T00:00:00+00:00/1995-12-31T00:00:00+00:00","theme":["geospatial"],"title":"EnviroAtlas - PRISM 30-Year Normal Annual Precipitation and Minimum and Maximum Temperature for Puerto Rico (1963\u20131995)"},"description":"This annual data was accessed from the PRISM project website (https://https://prism.oregonstate.edu/normals_other/public/pr/grids/) and has a spatial resolution of 15 arcsec (400 m). The three climatic variables included in the dataset are total precipitation (inches), maximum temperature (degrees Fahrenheit), and minimum temperature (degrees Fahrenheit). PRISM Climate Group at Oregon State University used climate observations from monitoring stations and interpolated to a gridded format using the PRISM model (Parameter-elevation Regressions on Independent Slopes Model). Interpolation was trained using a DEM (digital elevation model) to improve performance in mountainous regions.  \n\t\t\n\t\tDatasets for other the U.S. Virgin Islands was produced separately; metadata for the U.S. VI datasets may be found here: https://enviroatlas.epa.gov/enviroatlas/MetadataFGDC/PRISM_30yr_normals_USVI_1971_2000.xml\n\nThe PRISM temperature data were originally reported in \u00b0C but were converted to \u00b0F. The PRISM precipitation data were originally reported in millimeters but were converted to inches.\n\nThis dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).\n\nOriginal PRISM Metadata (https://prism.oregonstate.edu/normals_other/public/pr/metadata/): \n\nAbstract: \n\nMonthly 33-year \"normal\" dataset covering Puerto Rico, averaged over the climatological period 1963\u20131995. Contains spatially gridded average annual precipitation and temperature at 450m grid cell resolution. Distribution of the point measurements to the spatial grid was accomplished using the PRISM model, developed and applied by Dr. Christopher Daly of the PRISM Climate Group at Oregon State University. This dataset was heavily peer reviewed, and is available free-of-charge on the PRISM website.\n\nPurpose:\n\nDisplay and/or analysis requiring spatially distributed annual precipitation and temperature for the climatological period 1963\u20131995.\n\nSupplementary Information: \n\nSpatially explicit climate data contribute to watershed resource management, mapping vegetation type with satellite imagery, mapping present and hypothetical future ecological zones, and predicting species distributions. The regression based Parameter-elevation Regressions on Independent Slopes Model (PRISM) uses spatial data sets, a knowledge base and expert interaction to generate GIS-compatible grids of climate variables. This study applied PRISM to generate maps of mean monthly and annual precipitation and minimum and maximum temperature for the Caribbean islands of Puerto Rico, Vieques and Culebra over the 1963\u20131995 averaging period. PRISM was run under alternative parameterizations that simulated simpler interpolation methods as well as the full PRISM model. For temperature, the standard PRISM parameterization was compared to a hypsometric method, in which the temperature/elevation slope was assumed to be -6.5\u00b0C/km (HYPS). For precipitation, the standard PRISM parameterization was compared to an inverse-distance weighting interpolation (IDW). Spatial temperature patterns were linked closely to elevation, topographic position, and coastal proximity. Both PRISM and HYPS performed well for July maximum temperature, but HYPS performed relatively poorly for January minimum temperature, due primarily to lack of a spatially varying temperature/elevation slope, vertical atmospheric layer definition, and coastal proximity guidance. Mean monthly precipitation varied significantly throughout the year, reflecting seasonally differing moisture trajectories. Spatial precipitation patterns were associated most strongly with elevation, upslope exposure to predominant moisture-bearing winds, and proximity to the ocean. IDW performed poorly compared to PRISM, due largely to the lack of elevation and moisture availability information. Overall, the full PRISM approach resulted in greatly improved performance over simpler methods for precipitation and January minimum temperature, but only a small improvement for July maximum temperature. Comparisons of PRISM mean annual temperature and precipitation maps to previously-published, hand-drawn maps showed similar overall patterns and magnitudes, but the PRISM maps provided much more spatial detail.","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/0d69ca0d-88f6-4d7f-ac35-6da94d668b05","harvest_record_raw":"https://catalog.data.gov/harvest_record/0d69ca0d-88f6-4d7f-ac35-6da94d668b05/raw","harvest_record_transformed":"https://catalog.data.gov/harvest_record/0d69ca0d-88f6-4d7f-ac35-6da94d668b05/transformed","has_download":true,"has_spatial":true,"identifier":"https://edg.epa.gov/WAFer_harvest/ISO/enviroatlas-metadata-waf_PRISM_30yr_normals_PR_1963_1995.xml","keyword":["Puerto Rico","United States","Climate","Ecosystem","Environment","Hazards","Human","Impact","Modeling","Risk","Water","020:072","Ecosystem Services","EnviroAtlas","Environment","Environmental Atlas","Human Well-being","Sustainability"],"last_harvested_date":"2026-08-29T18:51:50.168447","organization":{"aliases":["EPA"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"82b85475-f85d-404a-b95b-89d1a42e9f6b","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/epa.png","name":"U.S. Environmental Protection Agency","organization_type":"Federal Government","slug":"epa"},"parent_identifier":null,"popularity":0,"publisher":"U.S. EPA Office of Research and Development (ORD) - Center for Public Health and Environmental Assessment (CPHEA)","slug":"enviroatlas-prism-30-year-normal-annual-precipitation-and-minimum-and-maximum-temperature--06f86","spatial_centroid":{"lat":18.1417158,"lon":-65.9242356},"spatial_shape":{"coordinates":[[[-64.992242,17.864565],[-64.992242,18.557442],[-67.322226,18.557442],[-67.322226,17.864565],[-64.992242,17.864565]]],"type":"Polygon"},"theme":["geospatial"],"title":"EnviroAtlas - PRISM 30-Year Normal Annual Precipitation and Minimum and Maximum Temperature for Puerto Rico (1963\u20131995)","type":"dataset"},{"_score":25.293087,"_sort":[1788029037524,25.293087,4,"c47cbd15-79c9-46f5-aed1-d12e17d259cb"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Michael E. Wieczorek","hasEmail":"mailto:mewieczo@usgs.gov"},"description":"This tabular data set represents the mean Julian year day of the year of the last freeze, from 30 years of record (1961-1990) compiled for two spatial components of the NHDPlus version 2 data suite (NHDPlusv2) for the conterminous United States; 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. This dataset can be linked to the NHDPlus version 2 data suite by the unique identifier COMID. The source data for the mean day of the year of a last freeze, from 30 years of record (1961-1990) was provided by the Environmental Protection Agency and is included with this data set (Ryan Hill, EPA, written commun., 2006). The values represent the Julian year day of the last freeze. For example, value of 300 is the 300th day of the year (Oct 27th). Values &gt; 365 mean that the last freeze occurs after Dec 31.  It is done this way so that (first_freeze - last_freeze) should always give a positive number; high numbers for an area with a long frost-free period (e.g. Florida), low numbers for an area with a short frost-free period.Reach catchment information characterizes data at the local scale. Reach catchments accumulated upstream through the river network characterizes cumulative upstream conditions. Network-accumulated values are computed using two methods, 1) divergence-routed and 2) total cumulative drainage area. Both approaches use a modified routing database to navigate the NHDPlus reach network to aggregate (accumulate) the metrics derived from the reach catchment scale. (Schwarz and Wieczorek, 2018).","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/F7765D7V","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.57040a6ce4b0328dcb828378.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_57040a6ce4b0328dcb828378","keyword":["Catchment","Inlandwaters","Julian year day of the year","Last day of freeze","NAWQA","NHDPlus","SPARROW","USGS:57040a6ce4b0328dcb828378"],"modified":"2026-08-27T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-127.910792, 23.243486, -65.327751, 51.657387","theme":["geospatial"],"title":"Select Climate Attributes: Mean Day of the Year of Last Freeze, from 30 Years of Record (1961-1990)"},"description":"This tabular data set represents the mean Julian year day of the year of the last freeze, from 30 years of record (1961-1990) compiled for two spatial components of the NHDPlus version 2 data suite (NHDPlusv2) for the conterminous United States; 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. This dataset can be linked to the NHDPlus version 2 data suite by the unique identifier COMID. The source data for the mean day of the year of a last freeze, from 30 years of record (1961-1990) was provided by the Environmental Protection Agency and is included with this data set (Ryan Hill, EPA, written commun., 2006). The values represent the Julian year day of the last freeze. For example, value of 300 is the 300th day of the year (Oct 27th). Values &gt; 365 mean that the last freeze occurs after Dec 31.  It is done this way so that (first_freeze - last_freeze) should always give a positive number; high numbers for an area with a long frost-free period (e.g. Florida), low numbers for an area with a short frost-free period.Reach catchment information characterizes data at the local scale. Reach catchments accumulated upstream through the river network characterizes cumulative upstream conditions. Network-accumulated values are computed using two methods, 1) divergence-routed and 2) total cumulative drainage area. Both approaches use a modified routing database to navigate the NHDPlus reach network to aggregate (accumulate) the metrics derived from the reach catchment scale. (Schwarz and Wieczorek, 2018).","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/de042cb0-24d1-4c15-880b-faca8f9bf136","harvest_record_raw":"https://catalog.data.gov/harvest_record/de042cb0-24d1-4c15-880b-faca8f9bf136/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_57040a6ce4b0328dcb828378","keyword":["Catchment","Inlandwaters","Julian year day of the year","Last day of freeze","NAWQA","NHDPlus","SPARROW","USGS:57040a6ce4b0328dcb828378"],"last_harvested_date":"2026-08-29T18:43:57.524764","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":4,"publisher":"U.S. Geological Survey","slug":"attributes-for-nhdplus-version-2-1-catchments-and-modified-routing-of-upstream-w-1961-1990","spatial_centroid":{"lat":34.6090464,"lon":-102.8775756},"spatial_shape":{"coordinates":[[[-127.910792,23.243486],[-127.910792,51.657387],[-65.327751,51.657387],[-65.327751,23.243486],[-127.910792,23.243486]]],"type":"Polygon"},"theme":["geospatial"],"title":"Select Climate Attributes: Mean Day of the Year of Last Freeze, from 30 Years of Record (1961-1990)","type":"dataset"},{"_score":25.329071,"_sort":[1788029003289,25.329071,3,"df75a7d6-2653-48aa-b421-2b5d8542cd51"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Michael E. Wieczorek","hasEmail":"mailto:mewieczo@usgs.gov"},"description":"This tabular data set represents the 30 year average (1961-1990) number of days of measurable precipitation per month, compiled for two spatial components of the NHDPlus version 2 data suite (NHDPlusv2) for the conterminous United States; 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. This dataset can be linked to the NHDPlus version 2 data suite by the unique identifier COMID. The source data for the 30 year average (1961-1990) number of days of measurable precipitation per month was provided by the Environmental Protection Agency and is included with this data set (prism-wetdays-monthly.zip provided by Ryan Hill, EPA, written commun., 2012). Units are days per month. Reach catchment information characterizes data at the local scale. Reach catchments accumulated upstream through the river network characterizes cumulative upstream conditions.  Network-accumulated values are computed using two methods, 1) divergence-routed and 2) total cumulative drainage area. Both approaches use a modified routing database to navigate the NHDPlus reach network to aggregate (accumulate) the metrics derived from the reach catchment scale. (Schwarz and Wieczorek, 2016).","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/F7765D7V","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.572241c5e4b0b13d39138edd.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_572241c5e4b0b13d39138edd","keyword":["Catchment","Inlandwaters","NAWQA","NHDPlus","SPARROW","USGS:572241c5e4b0b13d39138edd","Wet days","precipitation"],"modified":"2026-08-27T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-127.910792, 23.243486, -65.327751, 51.657387","theme":["geospatial"],"title":"Select Climate Attributes: PRISM 30 Year (1961-1990) Monthly Mean of Number of Days of Measurable Precipitation"},"description":"This tabular data set represents the 30 year average (1961-1990) number of days of measurable precipitation per month, compiled for two spatial components of the NHDPlus version 2 data suite (NHDPlusv2) for the conterminous United States; 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. This dataset can be linked to the NHDPlus version 2 data suite by the unique identifier COMID. The source data for the 30 year average (1961-1990) number of days of measurable precipitation per month was provided by the Environmental Protection Agency and is included with this data set (prism-wetdays-monthly.zip provided by Ryan Hill, EPA, written commun., 2012). Units are days per month. Reach catchment information characterizes data at the local scale. Reach catchments accumulated upstream through the river network characterizes cumulative upstream conditions.  Network-accumulated values are computed using two methods, 1) divergence-routed and 2) total cumulative drainage area. Both approaches use a modified routing database to navigate the NHDPlus reach network to aggregate (accumulate) the metrics derived from the reach catchment scale. (Schwarz and Wieczorek, 2016).","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/bc9a3d14-6afa-46d1-bfb0-641a04fb8e52","harvest_record_raw":"https://catalog.data.gov/harvest_record/bc9a3d14-6afa-46d1-bfb0-641a04fb8e52/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_572241c5e4b0b13d39138edd","keyword":["Catchment","Inlandwaters","NAWQA","NHDPlus","SPARROW","USGS:572241c5e4b0b13d39138edd","Wet days","precipitation"],"last_harvested_date":"2026-08-29T18:43:23.289306","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":3,"publisher":"U.S. Geological Survey","slug":"attributes-for-nhdplus-version-2-1-reach-catchments-and-modified-routed-upstream-watershed-f52fc","spatial_centroid":{"lat":34.6090464,"lon":-102.8775756},"spatial_shape":{"coordinates":[[[-127.910792,23.243486],[-127.910792,51.657387],[-65.327751,51.657387],[-65.327751,23.243486],[-127.910792,23.243486]]],"type":"Polygon"},"theme":["geospatial"],"title":"Select Climate Attributes: PRISM 30 Year (1961-1990) Monthly Mean of Number of Days of Measurable Precipitation","type":"dataset"},{"_score":9.244535,"_sort":[1788028411414,9.244535,3,"50b1fe8c-b8fd-421b-abf8-7fc8c78c46ed"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Michael E. Wieczorek","hasEmail":"mailto:mewieczo@usgs.gov"},"description":"This metadata record describes three best management practice scenarios for Nitrogen, Phosphorous, and Sediment based on information from the National Resource Conservation Service. The potential benefits of agricultural management practices were developed by USDA using estimates of nutrient and sediment reductions from agricultural fields due to the implementation of a suite of Best Management Practices (BMP's) (USDA, 2012). Estimates of losses were developed by the USDA Conservation Effects Assessment Program (CEAP) using a sampling and modeling approach. Data collected by the National Resources Inventory (NRI) Program were utilized to characterize representative agricultural areas for features such as soils, climate, and topography. Additional information was collected from each of those representative areas through the Conservation Effects Assessment Project (CEAP) in order to characterize current farming practices. The effects of specific agricultural management practices were simulated using a model known as the Agricultural Policy Environmental Extender (APEX) implemented on a location by location basis. Those effects were then extrapolated to watershed scales using another model known as the Soil and Water Assessment Tool (SWAT). The output from this procedure provides estimates of loss under three scenarios including: 1) a baseline defined by the conditions observed by the 2003-2006 CEAP survey; 2) an estimate of the amount of loss if no BMP's had been implemented; and 3) an estimate of loss if enhanced nutrient management had been implemented. These estimates were available at a large watershed (HUC2) scale, but were further processed using geospatial techniques and land characteristics to extend the information to the NHDPlus version 2.1 catchment scale. For use in the SPARROW models, an index was calculated as the difference between the baseline and the \"no implementation\" scenarios. The index was compiled for two spatial components of the NHDPlus version 2.1 data suite (NHDPlusv2) for the conterminous United States; 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. The index was intended to provide an indication of the expected aggregate benefits of the implementation of a suite of management practices.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/F7765D7V","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.5cc89237e4b09b8c0b77f247.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_5cc89237e4b09b8c0b77f247","keyword":["NHDPlus Version 2.1","USGS:5cc89237e4b09b8c0b77f247","best management practice","inlandWaters","nitrogen","phosphorous","sediment"],"modified":"2026-08-27T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-127.9108, 23.2435, -65.3278, 51.6574","theme":["geospatial"],"title":"Select Best Management Practices Attributes: National Resource Conservation Service's Best Management Practice Scenarios for Total Non-Gas Nitrogen, Phosphorous, and Sediment"},"description":"This metadata record describes three best management practice scenarios for Nitrogen, Phosphorous, and Sediment based on information from the National Resource Conservation Service. The potential benefits of agricultural management practices were developed by USDA using estimates of nutrient and sediment reductions from agricultural fields due to the implementation of a suite of Best Management Practices (BMP's) (USDA, 2012). Estimates of losses were developed by the USDA Conservation Effects Assessment Program (CEAP) using a sampling and modeling approach. Data collected by the National Resources Inventory (NRI) Program were utilized to characterize representative agricultural areas for features such as soils, climate, and topography. Additional information was collected from each of those representative areas through the Conservation Effects Assessment Project (CEAP) in order to characterize current farming practices. The effects of specific agricultural management practices were simulated using a model known as the Agricultural Policy Environmental Extender (APEX) implemented on a location by location basis. Those effects were then extrapolated to watershed scales using another model known as the Soil and Water Assessment Tool (SWAT). The output from this procedure provides estimates of loss under three scenarios including: 1) a baseline defined by the conditions observed by the 2003-2006 CEAP survey; 2) an estimate of the amount of loss if no BMP's had been implemented; and 3) an estimate of loss if enhanced nutrient management had been implemented. These estimates were available at a large watershed (HUC2) scale, but were further processed using geospatial techniques and land characteristics to extend the information to the NHDPlus version 2.1 catchment scale. For use in the SPARROW models, an index was calculated as the difference between the baseline and the \"no implementation\" scenarios. The index was compiled for two spatial components of the NHDPlus version 2.1 data suite (NHDPlusv2) for the conterminous United States; 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. The index was intended to provide an indication of the expected aggregate benefits of the implementation of a suite of management practices.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/efe59961-948a-47af-8a22-7b2ef6b61b0b","harvest_record_raw":"https://catalog.data.gov/harvest_record/efe59961-948a-47af-8a22-7b2ef6b61b0b/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_5cc89237e4b09b8c0b77f247","keyword":["NHDPlus Version 2.1","USGS:5cc89237e4b09b8c0b77f247","best management practice","inlandWaters","nitrogen","phosphorous","sediment"],"last_harvested_date":"2026-08-29T18:33:31.414809","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":3,"publisher":"U.S. Geological Survey","slug":"attributes-for-nhdplus-version-2-1-reach-catchments-and-modified-routed-upstream-watershed-1c7bd","spatial_centroid":{"lat":34.60906,"lon":-102.87759999999999},"spatial_shape":{"coordinates":[[[-127.9108,23.2435],[-127.9108,51.6574],[-65.3278,51.6574],[-65.3278,23.2435],[-127.9108,23.2435]]],"type":"Polygon"},"theme":["geospatial"],"title":"Select Best Management Practices Attributes: National Resource Conservation Service's Best Management Practice Scenarios for Total Non-Gas Nitrogen, Phosphorous, and Sediment","type":"dataset"},{"_score":28.056286,"_sort":[1788028228106,28.056286,1,"7f9e663f-9a2d-49a7-aca3-a21667b80ea0"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Michael E. Wieczorek","hasEmail":"mailto:mewieczo@usgs.gov"},"description":"This tabular data set represents 30 year (1971 - 2000) mean annual temperature (Celsius) compiled for two spatial components of the NHDPlus version 2 data suite (NHDPlusv2) for the conterminous United States; 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. This dataset can be linked to the NHDPlus version 2 data suite by the unique identifier COMID.  The source data for  30 year (1971 - 2000) mean annual temperature (Celsius)  was produced by the PRISM Group at Oregon State University (PRISM, 2008). Units are degrees celsius. Reach catchment information characterizes data at the local scale. Reach catchments accumulated upstream through the river network characterizes cumulative upstream conditions.  Network-accumulated values are computed using two methods, 1) divergence-routed and 2) total cumulative drainage area. Both approaches use a modified routing database to navigate the NHDPlus reach network to aggregate (accumulate) the metrics derived from the reach catchment scale. (Schwarz and Wieczorek, 2018).","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/F7765D7V","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.57054bf2e4b0d4e2b756d364.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_57054bf2e4b0d4e2b756d364","keyword":["30 year mean annual temperature","Catchment","Inlandwaters","NAWQA","NHDPlus","SPARROW","USGS:57054bf2e4b0d4e2b756d364"],"modified":"2026-08-27T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-127.910792, 23.243486, -65.327751, 51.657387","theme":["geospatial"],"title":"Select Climate Attributes: 30 Year (1971 - 2000) Mean Annual Temperature (Celsius)"},"description":"This tabular data set represents 30 year (1971 - 2000) mean annual temperature (Celsius) compiled for two spatial components of the NHDPlus version 2 data suite (NHDPlusv2) for the conterminous United States; 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. This dataset can be linked to the NHDPlus version 2 data suite by the unique identifier COMID.  The source data for  30 year (1971 - 2000) mean annual temperature (Celsius)  was produced by the PRISM Group at Oregon State University (PRISM, 2008). Units are degrees celsius. Reach catchment information characterizes data at the local scale. Reach catchments accumulated upstream through the river network characterizes cumulative upstream conditions.  Network-accumulated values are computed using two methods, 1) divergence-routed and 2) total cumulative drainage area. Both approaches use a modified routing database to navigate the NHDPlus reach network to aggregate (accumulate) the metrics derived from the reach catchment scale. (Schwarz and Wieczorek, 2018).","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/a76d5201-c7b9-4046-885a-7542eabbacf3","harvest_record_raw":"https://catalog.data.gov/harvest_record/a76d5201-c7b9-4046-885a-7542eabbacf3/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_57054bf2e4b0d4e2b756d364","keyword":["30 year mean annual temperature","Catchment","Inlandwaters","NAWQA","NHDPlus","SPARROW","USGS:57054bf2e4b0d4e2b756d364"],"last_harvested_date":"2026-08-29T18:30:28.106080","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":"attributes-for-nhdplus-version-2-1-catchments-and-modified-routing-of-upstream-watersheds--90b43","spatial_centroid":{"lat":34.6090464,"lon":-102.8775756},"spatial_shape":{"coordinates":[[[-127.910792,23.243486],[-127.910792,51.657387],[-65.327751,51.657387],[-65.327751,23.243486],[-127.910792,23.243486]]],"type":"Polygon"},"theme":["geospatial"],"title":"Select Climate Attributes: 30 Year (1971 - 2000) Mean Annual Temperature (Celsius)","type":"dataset"},{"_score":34.170887,"_sort":[1788028215749,34.170887,1,"716fcbb4-6605-46a0-ba5f-660da6d20521"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Michael E. 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Network-accumulated values are computed using two methods, 1) divergence-routed and 2) total cumulative drainage area. Both approaches use a modified routing database to navigate the NHDPlus reach network to aggregate (accumulate) the metrics derived from the reach catchment scale. 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Network-accumulated values are computed using two methods, 1) divergence-routed and 2) total cumulative drainage area. Both approaches use a modified routing database to navigate the NHDPlus reach network to aggregate (accumulate) the metrics derived from the reach catchment scale. 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This dataset can be linked to the NHDPlus version 2 data suite by the unique identifier COMID.  The source data for  estimated mean annual snow as a percent of total precipitation was produced by the USGS (Wolock, written communic., 2012) and processed based on the methods described by McCabe and Wolock (USGS, 2009). Units are percent. Reach catchment information characterizes data at the local scale. Reach catchments accumulated upstream through the river network characterizes cumulative upstream conditions.  Network-accumulated values are computed using two methods, 1) divergence-routed and 2) total cumulative drainage area. Both approaches use a modified routing database to navigate the NHDPlus reach network to aggregate (accumulate) the metrics derived from the reach catchment scale. 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The change factors were computed as the ratio of projected future to historical extreme precipitation depths fitted to extreme precipitation data from various downscaled climate datasets using a constrained maximum likelihood (CML) approach. The change factors correspond to the period 2050-2089 (centered in the year 2070) as compared to the 1966-2005 historical period.  \nAn R script (create_boxplot.R) is provided which generates boxplots of change factors for a NOAA Atlas 14 station, or for all NOAA Atlas 14 stations in an ArcHydro Enhanced Database (AHED) basin or county for durations of interest (1, 3, and 7 days, or combinations thereof) and return periods of interest (5, 10, 25, 50, 100, and 200 years, or combinations thereof). The user also has the option of requesting that the script save the raw change factor data used to generate the boxplots, as well as the processed quantile and outlier data shown in the figure. The script allows the user to modify the percentiles used in generating the boxplots. A Microsoft Word file documenting code usage and available options is also provided within this data release (Documentation_R_script_create_boxplot.docx). As described in the documentation, the R script relies on some of the Microsoft Excel spreadsheets published as part of this data release.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P935WRTG","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.611bd655d34e40dd9bffc243.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_611bd655d34e40dd9bffc243","keyword":["Florida","South Florida Water Management District","Southern Florida","USGS:611bd655d34e40dd9bffc243","climatologyMeteorologyAtmosphere","depth-duration-frequency","extremes","precipitation (atmospheric)","precipitation extremes","south Florida"],"modified":"2022-04-01T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-83.5000, 24.0000, -79.5000, 29.5000","theme":["geospatial"],"title":"R script to create boxplots of change factors by NOAA Atlas 14 station, or for all stations in an ArcHydro Enhanced Database (AHED) basin or county (create_boxplot.R)"},"description":"The South Florida Water Management District (SFWMD) and the U.S. Geological Survey have developed projected future change factors for precipitation depth-duration-frequency (DDF) curves at 174 National Oceanic and Atmospheric Administration (NOAA) Atlas 14 stations in central and south Florida. The change factors were computed as the ratio of projected future to historical extreme precipitation depths fitted to extreme precipitation data from various downscaled climate datasets using a constrained maximum likelihood (CML) approach. The change factors correspond to the period 2050-2089 (centered in the year 2070) as compared to the 1966-2005 historical period.  \nAn R script (create_boxplot.R) is provided which generates boxplots of change factors for a NOAA Atlas 14 station, or for all NOAA Atlas 14 stations in an ArcHydro Enhanced Database (AHED) basin or county for durations of interest (1, 3, and 7 days, or combinations thereof) and return periods of interest (5, 10, 25, 50, 100, and 200 years, or combinations thereof). The user also has the option of requesting that the script save the raw change factor data used to generate the boxplots, as well as the processed quantile and outlier data shown in the figure. The script allows the user to modify the percentiles used in generating the boxplots. A Microsoft Word file documenting code usage and available options is also provided within this data release (Documentation_R_script_create_boxplot.docx). 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Both approaches use a modified routing database (Schwarz and Wieczorek, 2017) to navigate the NHDPlusV2 reach network and to aggregate (accumulate) the metrics derived from the reach catchment scale.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/F7765D7V","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.5787ea72e4b0d27deb377b6d.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_5787ea72e4b0d27deb377b6d","keyword":["Catchment","Inlandwaters","NAWQA","NHDPlus","SPARROW","USGS:5787ea72e4b0d27deb377b6d","average annual temperature","water balance model"],"modified":"2026-08-27T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-127.910792, 23.243486, -65.327751, 51.657387","theme":["geospatial"],"title":"Select Climate and Water Balance Model Attributes: Annual Average Temperature (Celsius) from 1945 - 2015"},"description":"This tabular data set represents annual average temperature values (Celsius) described in Wolock and McCabe (2017), compiled for the NHDPlus version 2 data suite (NHDPlusV2) for the conterminous United States. 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Both approaches use a modified routing database (Schwarz and Wieczorek, 2017) to navigate the NHDPlusV2 reach network and to aggregate (accumulate) the metrics derived from the reach catchment scale.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/3c9a8cd0-178e-40e6-a522-8cf210cdfa1a","harvest_record_raw":"https://catalog.data.gov/harvest_record/3c9a8cd0-178e-40e6-a522-8cf210cdfa1a/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_5787ea72e4b0d27deb377b6d","keyword":["Catchment","Inlandwaters","NAWQA","NHDPlus","SPARROW","USGS:5787ea72e4b0d27deb377b6d","average annual temperature","water balance model"],"last_harvested_date":"2026-08-29T18:03:17.516293","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":2,"publisher":"U.S. Geological Survey","slug":"attributes-for-nhdplus-version-2-1-reach-catchments-and-modified-routed-upstream-1945-2015-1e437","spatial_centroid":{"lat":34.6090464,"lon":-102.8775756},"spatial_shape":{"coordinates":[[[-127.910792,23.243486],[-127.910792,51.657387],[-65.327751,51.657387],[-65.327751,23.243486],[-127.910792,23.243486]]],"type":"Polygon"},"theme":["geospatial"],"title":"Select Climate and Water Balance Model Attributes: Annual Average Temperature (Celsius) from 1945 - 2015","type":"dataset"},{"_score":25.88094,"_sort":[1788026443748,25.88094,2,"306117e0-cc35-469a-a51f-669ab4f4dcae"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Michael E. Wieczorek","hasEmail":"mailto:mewieczo@usgs.gov"},"description":"This tabular data set represents annual average runoff values (millimeters) described in Wolock and McCabe (2017), compiled for the NHDPlus version 2 data suite (NHDPlusV2) for the conterminous United States. Linkage of the runoff data with NHDPlusV2 is achieved through the common unique identifier COMID. The runoff values are estimated both for: 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. The reach catchment information characterizes data at the local scale, whereas the catchments accumulated through the river network characterize cumulative upstream conditions.  The network-accumulated values are derived using two methods: 1) divergence routing and 2) total upstream routing. Both approaches use a modified routing database (Schwarz and Wieczorek, 2017) to navigate the NHDPlusV2 reach network and to aggregate (accumulate) the metrics derived from the reach catchment scale.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/F7765D7V","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.57bf5e25e4b0f2f0ceb75b77.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_57bf5e25e4b0f2f0ceb75b77","keyword":["Catchment","Inlandwaters","NAWQA","NHDPlus","SPARROW","USGS:57bf5e25e4b0f2f0ceb75b77","average annual runoff","water balance model"],"modified":"2026-08-27T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-127.910792, 23.243486, -65.327751, 51.657387","theme":["geospatial"],"title":"Select Climate and Water Balance Model Attributes: Annual Average Runoff (millimeters) from 1945 - 2015"},"description":"This tabular data set represents annual average runoff values (millimeters) described in Wolock and McCabe (2017), compiled for the NHDPlus version 2 data suite (NHDPlusV2) for the conterminous United States. 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Both approaches use a modified routing database (Schwarz and Wieczorek, 2017) to navigate the NHDPlusV2 reach network and to aggregate (accumulate) the metrics derived from the reach catchment scale.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/effd6c47-62bb-46cb-b3fe-6f050ba58201","harvest_record_raw":"https://catalog.data.gov/harvest_record/effd6c47-62bb-46cb-b3fe-6f050ba58201/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_57bf5e25e4b0f2f0ceb75b77","keyword":["Catchment","Inlandwaters","NAWQA","NHDPlus","SPARROW","USGS:57bf5e25e4b0f2f0ceb75b77","average annual runoff","water balance model"],"last_harvested_date":"2026-08-29T18:00:43.748553","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":2,"publisher":"U.S. Geological Survey","slug":"attributes-for-nhdplus-version-2-1-reach-catchments-and-modified-routed-upstream-1945-2015","spatial_centroid":{"lat":34.6090464,"lon":-102.8775756},"spatial_shape":{"coordinates":[[[-127.910792,23.243486],[-127.910792,51.657387],[-65.327751,51.657387],[-65.327751,23.243486],[-127.910792,23.243486]]],"type":"Polygon"},"theme":["geospatial"],"title":"Select Climate and Water Balance Model Attributes: Annual Average Runoff (millimeters) from 1945 - 2015","type":"dataset"},{"_score":23.517605,"_sort":[1788026211498,23.517605,2,"9c8b65ee-e83d-4e5f-b78b-a4c6b71a7a63"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Michael E. Wieczorek","hasEmail":"mailto:mewieczo@usgs.gov"},"description":"This tabular data set represents the 30 year (1971 - 2000) mean annual minimum temperature (Celsius)  from 800m PRISM data compiled for two spatial components of the NHDPlus version 2 data suite (NHDPlusv2) for the conterminous United States; 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. This dataset can be linked to the NHDPlus version 2 data suite by the unique identifier COMID.  The source data for 30 year (1971 - 2000) mean annual minimum temperature (Celsius)  from 800m PRISM data was produced by the PRISM Group at Oregon State University. Units are Degree Celsius. Reach catchment information characterizes data at the local scale. Reach catchments accumulated upstream through the river network characterizes cumulative upstream conditions.  Network-accumulated values are computed using two methods, 1) divergence-routed and 2) total cumulative drainage area. 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Various other stations are made intermittently in support of similar research objectives or mooring deployments.\n\nThis dataset also includes physical-biogeochemical measurements from Station HALE-ALOHA (Hawai'i Air-sea Logging Experiment, A Long-Term Oligotrophic Habitat Assessment), measurements of high-quality air-sea fluxes and the associated upper ocean response from The Woods Hole Oceanographic Institution (WHOI) Hawaii Ocean Timeseries (HOT) Site (WHOTS), as well as hydrographic and biogeochemical parameters from the ALOHA-CLIMAX Regional Study.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://www.ncei.noaa.gov/archive/accession/Station-ALOHA-HOT","describedByType":"application/octet-stream","description":"Navigate directly to the URL for a descriptive web page with download links.","mediaType":"text/html","title":"NCEI Dataset Landing Page"},{"@type":"dcat:Distribution","accessURL":"https://www.ncei.noaa.gov/metadata/granule/geoportal/?from=0&size=10&esdsl=%7B%22query%22%3A%7B%22bool%22%3A%7B%22must%22%3A%5B%7B%22query_string%22%3A%7B%22analyze_wildcard%22%3Atrue%2C%22query%22%3A%22fileid%3AStation-ALOHA-HOT.*%22%7D%7D%5D%7D%7D%7D#searchPanel","describedByType":"application/octet-stream","description":"Search for data granules belonging to this collection (a granule is the smallest aggregation of data that can be independently described and retrieved).","mediaType":"text/html","title":"Granule Search"},{"@type":"dcat:Distribution","accessURL":"https://hahana.soest.hawaii.edu/stationaloha/","describedByType":"application/octet-stream","description":"project web site","mediaType":"text/html","title":"https://hahana.soest.hawaii.edu/stationaloha/"},{"@type":"dcat:Distribution","accessURL":"https://discover.library.noaa.gov/permalink/01NOAA_INST/1qbesct/alma991001174379707381","describedByType":"application/octet-stream","description":"NOAA Central Library: v.; ill., maps; 28 cm","mediaType":"text/html","title":"Hawaii ocean time-series program data report"},{"@type":"dcat:Distribution","accessURL":"https://forum.earthdata.nasa.gov/app.php/tag/GCMD%2BKeywords","describedByType":"application/octet-stream","description":"Global Change Master Directory (GCMD). 2025. 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URL (GCMD Keyword Forum Page): https://forum.earthdata.nasa.gov/app.php/tag/GCMD+Keywords","mediaType":"text/html","title":"GCMD Keyword Forum Page"},{"@type":"dcat:Distribution","accessURL":"https://www.ncei.noaa.gov/contact","describedByType":"application/octet-stream","description":"Information for contacts at NCEI.","mediaType":"text/html","title":"NCEI Contact Information"},{"@type":"dcat:Distribution","accessURL":"https://library.noaa.gov/","describedByType":"application/octet-stream","description":"Institution web page","mediaType":"text/html","title":"NOAA Library website"}],"identifier":"https://data.noaa.gov/waf/NOAA/NESDIS/ncei/accessions/iso/xml/Station-ALOHA-HOT.xml","issued":"1993-01-01T00:00:00.000+00:00","keyword":["0000497","0000639","0000640","0000641","0001016","0001704","0001707","0001710","0010624","0010740","0011142","0041594","0041849","0042029","0046427","0048660","0048725","0048896","0059842","0059936","0059943","0068957","0069177","0069501","0087584","0087596","0087988","0088839","0089168","0101146","0101727","0103907","0119430","0119895","0120323","0125579","0125647","0125648","0140225","0218247","0224688","0224752","0224756","0224849","0242075","0276338","0284084","0298064","0308400","9300009","9300040","9300148","9300149","9300183","9700176","9800125","9900206","9900207","9900208","9900212","9900213","9900214","9900215","AIR TEMPERATURE","AIR TEMPERATURE - DRY BULB","AIR TEMPERATURE - WET BULB","AMMONIA (NH3)","AMMONIUM (NH4)","bacteria","BACTERIA - HETEROTROPHIC","BAROMETRIC PRESSURE","BIOCHEMISTRY","biological data","CARBON","CARBON - TOTAL ORGANIC","CARBON ASSIMILATION","CAROTENOIDS - PLANT","CHLOROPHYLL","CHLOROPHYLL - RELATIVE FLUORESCENCE","CHLOROPHYLL A","CHLOROPHYLL C","cloud amount/frequency","cloud type","CONDUCTIVITY","CURRENT DIRECTION","CURRENT METER - EAST-WEST COMPONENT (U)","CURRENT METER - NORTH-SOUTH COMPONENT (V)","CURRENT SPEED","CURRENT SPEED - UP/DOWN COMPONENT (W)","DELTA CARBON-13","DELTA NITROGEN-15","DEPTH - OBSERVATION","dew point","Diadinoxanthin","DISSOLVED INORGANIC CARBON (DIC)","DISSOLVED ORGANIC CARBON","Dissolved Organic Nitrogen","DISSOLVED OXYGEN","DOWNWELLING RADIANCE","DYNAMIC DEPTH ANOMALY","DYNAMIC HEIGHT","Eukaryote","FLUORESCENCE","fucoxanthin","HPLC PIGMENTS","HYDROCARBONS - TOTAL RESOLVED","HYDROSTATIC PRESSURE","irradiance","LIGHT ATTENUATION","LIGHT TRANSMISSION","NITRATE","nitrate + nitrite content (concentration)","NITRATE/NITRITE RATIO","NITRITE","NITROGEN","NITROGEN - PARTICULATE","nitrous oxide (N2O)","NUTRIENTS","ORGANIC CHEMICALS","OXYGEN","OXYGEN - DISSOLVED ORGANIC","partial pressure of carbon dioxide - water","Particulate Inorganic Carbon","PARTICULATE ORGANIC CARBON","PARTICULATE ORGANIC NITROGEN (PON)","particulate phosphorus","pH","PHAEOPIGMENTS","phosphate","PHOSPHATE - TOTAL","PHOSPHORUS - ORGANIC","PHOTOSYNTHETIC ACTIVE RADIATION (PAR)","PHYTOPLANKTON","PIGMENTS","POLYCHLORINATED BIPHENYLS","Potential temperature (theta)","PRIMARY PRODUCTIVITY","Prochlorococcus","SALINITY","SALINITY - SURFACE WATER","SEA STATE","SEA SURFACE TEMPERATURE","Secchi depth","SIGMA-T","SIGMA-THETA","silica","silicate","SOLAR RADIATION - ATMOSPHERIC","SOUND VELOCITY","surface irradiance per incubation period","suspended solids","Synechococcus","TIDE HEIGHT","TIDE STAGE","total alkalinity","TOTAL CARBON","TOTAL PHOSPHORUS","TRANSMISSIVITY","turbidity","UPWELLING IRRADIANCE","UREA","VISIBILITY","Volatile Organic Compounds","WATER COLOR","WATER DENSITY","water depth","WATER TEMPERATURE","WAVE DATA","WAVE HEIGHT","WAVE PERIOD","WEATHER","WIND DIRECTION","WIND FORCE","WIND SPEED","ZOOPLANKTON BIOMASS","bathythermograph - XBT","bottle","buoy - moored buoy","carbon-14 incubation","CTD","fluorometer","inverted echo sounder (IES)","irradiance detector","laboratory analysis","meteorological sensor","oxygen sensor","radiometer","salinometer","Secchi disk","sediment sampler - corer","sediment sampler - grab","spectrophotometer","thermistor","thermosalinograph","transmissometer","trap - sediment","visual analysis","benthic","biological","chemical","current measurements","geological","integrated profiles","laboratory analyses","meteorological","optical","physical","profile","site samples","time series","underway","water chemistry","CROMWELL","FIXED PLATFORM OF UNITED STATES","FIXED STATIONS OF UNITED STATES","KA'IMIKAI-O-KANALOA","KAHO","KAIMALINO","KILA","MARINE VIEW","MOANA WAVE","NA'INA","NESHANIC","NEW HORIZON","NOAA Ship Hi'ialakai","NOAA Ship Oscar Elton Sette","NOAA Ship Townsend Cromwell","OCEANUS","R/V KILO MOANA","R/V Knorr","R/V MAURICE EWING","R/V Melville","R/V Roger Revelle","R/V THOMAS G. THOMPSON","R/V WECOMA","RV Alpha Helix","Sikuliaq","THOMSON","UNKNOWN PLATFORMS OF UNITED STATES","USCGC Klamath","USCGC Westwind","Oregon State University, College of Earth, Ocean, and Atmospheric Sciences","University of Hawai\u02bbi at M\u0101noa","University of Washington","Woods Hole Oceanographic Institution","Oregon State University, College of Earth, Ocean, and Atmospheric Sciences","University of Hawai\u02bbi at Hilo","University of Hawai\u02bbi at M\u0101noa","Climate Variability and Predictability (CLIVAR)","Hawaii Air-Sea Logging Experiment - A Long-term Oligotrophic Habitat Assessment (HALE-ALOHA)","Hawaii Ocean Time-series Program: Biogeochemistry and Ecology Component (HOT-BEACH)","JOINT GLOBAL OCEAN FLUX STUDY (JGOFS)","Joint Global Ocean Flux Study: Hawaii Ocean Time-series (JGOFS HOT)","WHOI Hawaii Ocean Timeseries Site (WHOTS)","WORLD CLIMATE RESEARCH PROGRAM","World Ocean Circulation Experiment (WOCE)","Coastal Waters of Hawaii","Hawaiian Islands Humpback Whale National Marine Sanctuary","North Pacific Ocean","Northeast Pacific Ocean (limit-180)","Papah\u0101naumoku\u0101kea Marine National Monument","oceanography","DOC/NOAA/NESDIS/NODC > National Oceanographic Data Center, NESDIS, NOAA, U.S. Department of Commerce","OR-STATE/CEOAS > College of Earth, Ocean, and Atmospheric Sciences, Oregon State University","WHOI > WOODS HOLE OCEANOGRAPHIC INSTITUTION","AC-1","AC-2","HA-1","HA-2","HA-3","HA-4","HA-5","HOT-1","HOT-10","HOT-100","HOT-101","HOT-102","HOT-103","HOT-104","HOT-105","HOT-11","HOT-12","HOT-13","HOT-14","HOT-15","HOT-16","HOT-17","HOT-18","HOT-19","HOT-2","HOT-20","HOT-21","HOT-22","HOT-23","HOT-24","HOT-25","HOT-26","HOT-27","HOT-28","HOT-29","HOT-3","HOT-30","HOT-31","HOT-32","HOT-33","HOT-34","HOT-35","HOT-36","HOT-37","HOT-38","HOT-39","HOT-4","HOT-40","HOT-41","HOT-42","HOT-43","HOT-44","HOT-45","HOT-46","HOT-47","HOT-48","HOT-49","HOT-5","HOT-50","HOT-51","HOT-52","HOT-53","HOT-54","HOT-55","HOT-56","HOT-57","HOT-58","HOT-59","HOT-6","HOT-60","HOT-61","HOT-62","HOT-63","HOT-64","HOT-65","HOT-66","HOT-67","HOT-68","HOT-69","HOT-7","HOT-70","HOT-71","HOT-72","HOT-73","HOT-74","HOT-75","HOT-76","HOT-77","HOT-78","HOT-79","HOT-8","HOT-80","HOT-81","HOT-82","HOT-83","HOT-84","HOT-85","HOT-86","HOT-87","HOT-88","HOT-89","HOT-9","HOT-90","HOT-91","HOT-92","HOT-93","HOT-94","HOT-95","HOT-96","HOT-97","HOT-98","HOT-99","CLIVAR > Climate Variability","HOT > Hawaiian Ocean Time Series Project","JGOFS > Joint Global Ocean Flux Study, IGBP","WCRP > World Climate Research Program","WOCE > World Ocean Circulation Experiment","Woods Hole HOT (WHOTS)","Woods Hole Hawaii Ocean Time Series (WHOTS)","HA-1","HA-2","HA-3","ALOHA-Climax","Hawaii Air-sea Logging Experiment, A Long-term Oligotrophic Habitat Assessment (HALE-ALOHA)","Hawaii Ocean Time-series (HOTS)","Joint Global Ocean Flux Study (JGOFS)","World Ocean Circulation Experiment (WOCE)","EARTH SCIENCE > AGRICULTURE > ANIMAL SCIENCE > ANIMAL PHYSIOLOGY AND BIOCHEMISTRY","EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC PRESSURE","EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC RADIATION > INCOMING SOLAR RADIATION","EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC TEMPERATURE","EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC TEMPERATURE > SURFACE TEMPERATURE > AIR TEMPERATURE","EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC TEMPERATURE > SURFACE TEMPERATURE > DEW POINT TEMPERATURE","EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WINDS > SURFACE WINDS > WIND DIRECTION","EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WINDS > SURFACE WINDS > WIND SPEED","EARTH SCIENCE > ATMOSPHERE > CLOUDS > CLOUD PROPERTIES > CLOUD FREQUENCY","EARTH SCIENCE > ATMOSPHERE > CLOUDS > CLOUD TYPES","EARTH SCIENCE > BIOLOGICAL CLASSIFICATION","EARTH SCIENCE > BIOLOGICAL CLASSIFICATION > BACTERIA/ARCHAEA","EARTH SCIENCE > BIOLOGICAL CLASSIFICATION > BACTERIA/ARCHAEA > CYANOBACTERIA (BLUE-GREEN ALGAE)","EARTH SCIENCE > BIOLOGICAL CLASSIFICATION > PROTISTS > PLANKTON > PHYTOPLANKTON","EARTH SCIENCE > BIOSPHERE > ECOLOGICAL DYNAMICS > ECOSYSTEM FUNCTIONS > PRIMARY PRODUCTION","EARTH SCIENCE > BIOSPHERE > ECOSYSTEMS > AQUATIC ECOSYSTEMS > PLANKTON > ZOOPLANKTON","EARTH SCIENCE > CLIMATE INDICATORS > ATMOSPHERIC/OCEAN INDICATORS > SURFACE SALINITY","EARTH SCIENCE > OCEANS > BATHYMETRY/SEAFLOOR TOPOGRAPHY > WATER DEPTH","EARTH SCIENCE > OCEANS > OCEAN ACOUSTICS > ACOUSTIC VELOCITY","EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY","EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > ALKALINITY","EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > AMMONIA","EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > CARBON","EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > CARBON DIOXIDE","EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > CHLOROPHYLL","EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > HYDROCARBONS","EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > INORGANIC CARBON","EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > NITRATE","EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > NITRITE","EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > NITROGEN","EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > NUTRIENTS","EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > ORGANIC CARBON","EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > OXYGEN","EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > PH","EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > PHOSPHATE","EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > PIGMENTS","EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > PIGMENTS > CHLOROPHYLL","EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > SILICATE","EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > SUSPENDED SOLIDS","EARTH SCIENCE > OCEANS > OCEAN CIRCULATION > OCEAN CURRENTS","EARTH SCIENCE > OCEANS > OCEAN OPTICS","EARTH SCIENCE > OCEANS > OCEAN OPTICS > ATTENUATION/TRANSMISSION","EARTH SCIENCE > OCEANS > OCEAN OPTICS > FLUORESCENCE","EARTH SCIENCE > OCEANS > OCEAN OPTICS > IRRADIANCE","EARTH SCIENCE > OCEANS > OCEAN OPTICS > OCEAN COLOR","EARTH SCIENCE > OCEANS > OCEAN OPTICS > PHOTOSYNTHETICALLY ACTIVE RADIATION","EARTH SCIENCE > OCEANS > OCEAN OPTICS > SECCHI DEPTH","EARTH SCIENCE > OCEANS > OCEAN OPTICS > TURBIDITY","EARTH SCIENCE > OCEANS > OCEAN PRESSURE > WATER PRESSURE","EARTH SCIENCE > OCEANS > OCEAN TEMPERATURE > POTENTIAL TEMPERATURE","EARTH SCIENCE > OCEANS > OCEAN TEMPERATURE > SEA SURFACE TEMPERATURE","EARTH SCIENCE > OCEANS > OCEAN TEMPERATURE > WATER TEMPERATURE","EARTH SCIENCE > OCEANS > OCEAN WAVES","EARTH SCIENCE > OCEANS > OCEAN WAVES > SEA STATE","EARTH SCIENCE > OCEANS > OCEAN WAVES > WAVE HEIGHT","EARTH SCIENCE > OCEANS > OCEAN WAVES > WAVE PERIOD","EARTH SCIENCE > OCEANS > SALINITY/DENSITY > CONDUCTIVITY","EARTH SCIENCE > OCEANS > SALINITY/DENSITY > DENSITY","EARTH SCIENCE > OCEANS > SALINITY/DENSITY > SALINITY","EARTH SCIENCE > OCEANS > TIDES","EARTH SCIENCE > OCEANS > TIDES > TIDAL HEIGHT","CTD","Chlorophyll, Pigment (uG/L)","Nitrate (uMOL/KG)","Oxygen (micromoles per kilogram)","Pressure (Decibars)","Salinity (1978 International Practical Salinity Scale)","Temperature (Degrees Celsius, International Temperature Scale of 1990)","hydrographic data","profile data","Adenosine 5'-Triphosphate (ATP) (ng/kg)","Alkalinity (ueq/kg)","Biogeochemical Rate Measurements","Bottle Oxygen (umol/kg)","Bottle Salinity (PSS-78)","CTD","CTD Oxygen (UMOL/KG)","CTD Pressure (Decibars)","CTD Salinity (PSS-78)","CTD Salinity (PSU-78)","CTD Temperature (ITS-90)","Carbon (mg/m2/d)","Carbon Assimilation","Chlorophyll a. Mean (mg/m3)","Chlorophyll and pigment","Chlorophylll, Pigment (uG/L)","Chlroropyll a. Standard Deviation (mg/m3)","Dark - replicate 1 (mg C/m3)","Dark - replicate 2 (mg C/m3)","Dark - replicate 3 (mg C/m3)","Delta-13C of PC (permil vs. VPDB)","Delta-15N of PN (permil vs. air-N2)","Dissolved Inorganic Carbon (DIC) (umol/kg)","Dissolved Organic Carbon (DOC) (umol/kg)","Dissolved Organic Nitrate (DON) (umol/kg)","Dissolved Organic Phosphate (DOP) (umol/kg)","Eukaryotes (E.bact) (10**5/ml)","Eukaryotes (no./ml)","Fluorometric Chlorophyll a (Chl a.) (ug/l)","Guanosine 5'-Triphosphate (GTP) (ng/kg)","HPLC 19'-Butanoyloxyfucoxanthin (19 But) (ng/l)","HPLC 19'-Hexanoyloxyfucoxanthin (19 Hex) (ng/l)","HPLC Alpha Carotens (A.Car) (ng/l)","HPLC Beta Carotens (B.Car) (ng/l)","HPLC Carotens (caroten) (ng/l)","HPLC Chlorophyll [c1+c2] & Mg 3, 8 DVP4A5 (Chl c1+2) (ng/l)","HPLC Chlorophyll c1 + c2 + c3 (Chl+) (ng/l)","HPLC Chlorophyll c3 (Chl c3) (ng/l)","HPLC Chlorophyllide a (Chlda a) (ng/l)","HPLC Chloropyll b (Chl b) (ng/l)","HPLC Chloropyll c4 (Chl c4) (ng/l)","HPLC Diadinoxanthin (Diadino) (ng/l)","HPLC Divinyl Chlorophyll a (DV.Chla) (ng/l)","HPLC Fucoxanthin (Fuco) (ng/l)","HPLC Lutein (Lutein) (ng/l)","HPLC Monovinyl Chlorophyll a (MV.Chla) (ng/l)","HPLC Peridinin (Peridino) (ng/l)","HPLC Prasinoxanthin (Prasino) (ng/l)","HPLC Violaxanthin (Viol) (ng/l)","HPLC Zeaxanthin (Zeaxan) (ng/l)","HPLC chlorophyll a. (HPLCchl) (ng/l)","Heterotrophic Bacteria (H.Bact) (10**5/ml)","Heterotrophic Bacteria (no./ml)","Hydrogen Peroxide (H2O2) (umol/kg)","International Temperature Scale of 1990)","Light - replicate 1 (mg C/m3)","Light - replicate 2 (mg C/m3)","Light - replicate 3 (mg C/m3)","Low-level Nitrate (LLN) (nmol/kg)","Low-level Phosphate (LLP) (nmol/kg)","Low-level Silica (LLSi) (umol/kg)","Mass (mg/m2/d)","NO2 (NMOL/KG)","Niskin Bottles","Nitrate (uMOL/KG)","Nitrate + Nitrite (NO2+NO3) (umol/kg)","Nitrogen (mg/m2/d)","Nitrous Oxide (N2O) (umol/kg)","Oxygen (micromoles per kilogram)","P13c (permil)","P15N (permil)","PE .4u (NG/L)","PE 10u (NG/L)","PE 5u (NG/L)","PIC (UMOL/KG)","Partial Pressure of Carbon Dioxide (pCO2) (uatm)","Particulate Carbon (PC) (umol/kg)","Particulate Inorganic Carbon (mg/m2/d)","Particulate Nitrogen (PN) (umol/kg)","Particulate Phosphate (PP) (nmol/kg)","Pheopigments (Pheo) (ug/l)","Pheopigments Mean (mg/m3)","Pheopigments Standard Deviation (mg/m3)","Phosphate (PO4) (umol/kg)","Phosphorus (mg/m2/d)","Potential Density (kg/m3)","Potential Temperature (ITC-90)","Pressure (Decibars)","Primary Production Parameters:","Prochlorococcus (P.Bact) (10**5/ml)","Prochlorococcus (no./ml)","Psi (NMOL/KG)","SPEC.SI (UMOL/KG)","Salinity (1978 International Practical Salinity Scale)","Salinity (PSS-78)","Sediment Trap Flux Parameters:","Silica (mg/m2/d)","Silicate (SiO4) (umol/kg)","Synechococcus (S.Bact) (10**5/ml)","Synechococcus (no./ml)","TD700A (UG/L)","TD700B (UG/L)","TD700C (UG/L)","Temperature (Degrees Celsius","Temperature (Degrees Celsius)","Temperature (ITC-90)","Total Dissolved Nitrogen (TDN) (umol/kg)","Total Dissolved Phosphorus (TDP) (umol/kg)","Transmission","bacterioplankton","biogeochemical data","butanoyloxyfucoxanthin","hydrographic data","oxygen","pH (TOT25, either sws25 or nbs25)","peridinin","physical data","physical oceanographic data","prasinoxanthin","profile data","salinity","surface measurements","temperature","temperature and salinity profile","temperature and salinity time series","thermosalinograph","thermosalinograph data","underway data","water chemistry profile","water column chemical data","zeaxan","CTD > Conductivity, Temperature, Depth","FLUOROMETERS > FLUOROMETERS","GRAB SAMPLERS","IES > Inverted Echo Sounders","INCUBATOR","OPTSPEC > Optical Spectrometer","OXYGEN METERS > OXYGEN METERS","RADIOMETERS","SALINOMETERS","SECCHI DISKS > SECCHI DISKS","SEDIMENT CORERS > SEDIMENT CORERS","THERMISTORS > THERMISTORS","THERMOSALINOGRAPHS","TRANSMISSOMETERS","TRAPS > TRAPS","XBT > Expendable Bathythermographs","Conductivity-Temperature-Depth (CTD)","Gas Tension Device (GTD)","FIXED OBSERVATION STATIONS > FIXED OBSERVATION STATIONS","Ships","ALPHA HELIX (call sign: WSD7078, ICES code: 31HX, 1966-)","CROMWELL (ICES code: 31WM)","Hi'ialakai (call sign: WTEY, ICES code: 33HL, 2004-)","KA'IMIKAI-O-KANALOA (call sign: WBN4310, ICES code: 33KI, 1995-)","KAHO (ICES code: 31KA)","KAIMALINO (ICES code: 33KA)","KILA (ICES code: 33KL)","KLAMATH (ICES code: 31KL)","KNORR (call sign: KCEJ, ICES code: 316N, 1970-)","Kilo Moana (call sign: WDA7827, ICES code: 33KB, 2002-)","MARINE VIEW (ICES code: 31MW)","MAURICE EWING (call sign: WLDZ, ICES code: 3230, 1988-2005)","MELVILLE (call sign: WECB, ICES code: 318M, 1969-)","MOANA WAVE (call sign: WUS9293, ICES code: 32MW, 1974-2011)","NA'INA (ICES code: 33NA)","NESHANIC (ICES code: 32NH)","NEW HORIZON (call sign: WKWB, ICES code: 32NM, 1978-2015)","OCEANUS (call sign: WXAQ, ICES code: 32OC, 1976-)","OSCAR ELTON SETTE (call sign: WTEE, ICES code: 33OC, 2003-)","ROGER REVELLE (call sign: KAOU, ICES code: 33RR, 1996-)","Sikuliaq (call sign: WDN7246, ICES code: 33BI, 2013-)","THOMAS G. THOMPSON (call sign: KTDQ, ICES code: 3250, 1991-)","TOWNSEND CROMWELL (ICES code: 31TC)","WECOMA (call sign: WSD7079, ICES code: 32WC, 1976-)","WESTWIND (call sign: NLKL, ICES code: 31WE, 1952-1988)","HALE-ALOHA Mooring","OCEAN > PACIFIC OCEAN > CENTRAL PACIFIC OCEAN > HAWAIIAN ISLANDS","OCEAN > PACIFIC OCEAN > NORTH PACIFIC OCEAN","HALE ALOHA","Hawaii","Hawaii Ocean Time Series (HOT)","Kaena Point","Kahe Point","Oahu","Pacific","Station Aloha","central north Pacific","HALE ALOHA","Hawaii","Hawaii Ocean Time Series (HOT)","Kaena Point","Kahe Point","Oahu","Pacific","Station Aloha","central north Pacific","complete ocean profile surface to bottom"],"landingPage":"https://www.ncei.noaa.gov/contact","language":[],"license":"https://creativecommons.org/publicdomain/zero/1.0/","modified":"2026-03-25T00:00:00.000+00:00","publisher":{"@type":"org:Organization","name":"NOAA National Centers for Environmental Information"},"references":["https://hahana.soest.hawaii.edu/stationaloha/","https://discover.library.noaa.gov/permalink/01NOAA_INST/1qbesct/alma991001174379707381"],"rights":"otherRestrictions","spatial":"-157.324,20.716,157.691,24.914","temporal":"1988-10-01T00:00:00+00:00/2024-12-22T00:00:00+00:00","theme":["geospatial"],"title":"Physical and biochemical oceanographic data from the Hawaii Ocean Time-series (HOT) program collected by University of Hawaii at Station ALOHA in the Pacific Ocean 100 miles north of Oahu, Hawaii, since 1988"},"description":"This dataset includes physical and biochemical oceanographic observational data from the Hawaii Ocean Time-series (HOT) Program, including thermosalinograph, CTD, bottle and biochemical data. The HOT program makes repeated observations of the physics, biology and chemistry at a site approximately 100 km north of Oahu, Hawaii. The program began in 1988. Two stations are visited about once a month: Kahe Point (Station 1: 21.34N, 158.27W) and Station ALOHA (Station 2: 22.75N, 158W). Various other stations are made intermittently in support of similar research objectives or mooring deployments.\n\nThis dataset also includes physical-biogeochemical measurements from Station HALE-ALOHA (Hawai'i Air-sea Logging Experiment, A Long-Term Oligotrophic Habitat Assessment), measurements of high-quality air-sea fluxes and the associated upper ocean response from The Woods Hole Oceanographic Institution (WHOI) Hawaii Ocean Timeseries (HOT) Site (WHOTS), as well as hydrographic and biogeochemical parameters from the ALOHA-CLIMAX Regional Study.","distribution_titles":["NCEI Dataset Landing Page","Granule Search","https://hahana.soest.hawaii.edu/stationaloha/","Hawaii ocean time-series program data report","GCMD Keyword Forum Page","NCEI Contact Information","NOAA Library website"],"harvest_record":"https://catalog.data.gov/harvest_record/d28c8b15-7d73-45de-9d55-1bb9f6afc25b","harvest_record_raw":"https://catalog.data.gov/harvest_record/d28c8b15-7d73-45de-9d55-1bb9f6afc25b/raw","harvest_record_transformed":"https://catalog.data.gov/harvest_record/d28c8b15-7d73-45de-9d55-1bb9f6afc25b/transformed","has_download":false,"has_spatial":true,"identifier":"https://data.noaa.gov/waf/NOAA/NESDIS/ncei/accessions/iso/xml/Station-ALOHA-HOT.xml","keyword":["0000497","0000639","0000640","0000641","0001016","0001704","0001707","0001710","0010624","0010740","0011142","0041594","0041849","0042029","0046427","0048660","0048725","0048896","0059842","0059936","0059943","0068957","0069177","0069501","0087584","0087596","0087988","0088839","0089168","0101146","0101727","0103907","0119430","0119895","0120323","0125579","0125647","0125648","0140225","0218247","0224688","0224752","0224756","0224849","0242075","0276338","0284084","0298064","0308400","9300009","9300040","9300148","9300149","9300183","9700176","9800125","9900206","9900207","9900208","9900212","9900213","9900214","9900215","AIR TEMPERATURE","AIR TEMPERATURE - DRY BULB","AIR TEMPERATURE - WET BULB","AMMONIA (NH3)","AMMONIUM (NH4)","bacteria","BACTERIA - HETEROTROPHIC","BAROMETRIC PRESSURE","BIOCHEMISTRY","biological data","CARBON","CARBON - TOTAL ORGANIC","CARBON ASSIMILATION","CAROTENOIDS - PLANT","CHLOROPHYLL","CHLOROPHYLL - RELATIVE FLUORESCENCE","CHLOROPHYLL A","CHLOROPHYLL C","cloud amount/frequency","cloud type","CONDUCTIVITY","CURRENT DIRECTION","CURRENT METER - EAST-WEST COMPONENT (U)","CURRENT METER - NORTH-SOUTH COMPONENT (V)","CURRENT SPEED","CURRENT SPEED - UP/DOWN COMPONENT (W)","DELTA CARBON-13","DELTA NITROGEN-15","DEPTH - OBSERVATION","dew point","Diadinoxanthin","DISSOLVED INORGANIC CARBON (DIC)","DISSOLVED ORGANIC CARBON","Dissolved Organic Nitrogen","DISSOLVED OXYGEN","DOWNWELLING RADIANCE","DYNAMIC DEPTH ANOMALY","DYNAMIC HEIGHT","Eukaryote","FLUORESCENCE","fucoxanthin","HPLC PIGMENTS","HYDROCARBONS - TOTAL RESOLVED","HYDROSTATIC PRESSURE","irradiance","LIGHT ATTENUATION","LIGHT TRANSMISSION","NITRATE","nitrate + nitrite content (concentration)","NITRATE/NITRITE RATIO","NITRITE","NITROGEN","NITROGEN - PARTICULATE","nitrous oxide (N2O)","NUTRIENTS","ORGANIC CHEMICALS","OXYGEN","OXYGEN - DISSOLVED ORGANIC","partial pressure of carbon dioxide - water","Particulate Inorganic Carbon","PARTICULATE ORGANIC CARBON","PARTICULATE ORGANIC NITROGEN (PON)","particulate phosphorus","pH","PHAEOPIGMENTS","phosphate","PHOSPHATE - TOTAL","PHOSPHORUS - ORGANIC","PHOTOSYNTHETIC ACTIVE RADIATION (PAR)","PHYTOPLANKTON","PIGMENTS","POLYCHLORINATED BIPHENYLS","Potential temperature (theta)","PRIMARY PRODUCTIVITY","Prochlorococcus","SALINITY","SALINITY - SURFACE WATER","SEA STATE","SEA SURFACE TEMPERATURE","Secchi depth","SIGMA-T","SIGMA-THETA","silica","silicate","SOLAR RADIATION - ATMOSPHERIC","SOUND VELOCITY","surface irradiance per incubation period","suspended solids","Synechococcus","TIDE HEIGHT","TIDE STAGE","total alkalinity","TOTAL CARBON","TOTAL PHOSPHORUS","TRANSMISSIVITY","turbidity","UPWELLING IRRADIANCE","UREA","VISIBILITY","Volatile Organic Compounds","WATER COLOR","WATER DENSITY","water depth","WATER TEMPERATURE","WAVE DATA","WAVE HEIGHT","WAVE PERIOD","WEATHER","WIND DIRECTION","WIND FORCE","WIND SPEED","ZOOPLANKTON BIOMASS","bathythermograph - XBT","bottle","buoy - moored buoy","carbon-14 incubation","CTD","fluorometer","inverted echo sounder (IES)","irradiance detector","laboratory analysis","meteorological sensor","oxygen sensor","radiometer","salinometer","Secchi disk","sediment sampler - corer","sediment sampler - grab","spectrophotometer","thermistor","thermosalinograph","transmissometer","trap - sediment","visual analysis","benthic","biological","chemical","current measurements","geological","integrated profiles","laboratory analyses","meteorological","optical","physical","profile","site samples","time series","underway","water chemistry","CROMWELL","FIXED PLATFORM OF UNITED STATES","FIXED STATIONS OF UNITED STATES","KA'IMIKAI-O-KANALOA","KAHO","KAIMALINO","KILA","MARINE VIEW","MOANA WAVE","NA'INA","NESHANIC","NEW HORIZON","NOAA Ship Hi'ialakai","NOAA Ship Oscar Elton Sette","NOAA Ship Townsend Cromwell","OCEANUS","R/V KILO MOANA","R/V Knorr","R/V MAURICE EWING","R/V Melville","R/V Roger Revelle","R/V THOMAS G. THOMPSON","R/V WECOMA","RV Alpha Helix","Sikuliaq","THOMSON","UNKNOWN PLATFORMS OF UNITED STATES","USCGC Klamath","USCGC Westwind","Oregon State University, College of Earth, Ocean, and Atmospheric Sciences","University of Hawai\u02bbi at M\u0101noa","University of Washington","Woods Hole Oceanographic Institution","Oregon State University, College of Earth, Ocean, and Atmospheric Sciences","University of Hawai\u02bbi at Hilo","University of Hawai\u02bbi at M\u0101noa","Climate Variability and Predictability (CLIVAR)","Hawaii Air-Sea Logging Experiment - A Long-term Oligotrophic Habitat Assessment (HALE-ALOHA)","Hawaii Ocean Time-series Program: Biogeochemistry and Ecology Component (HOT-BEACH)","JOINT GLOBAL OCEAN FLUX STUDY (JGOFS)","Joint Global Ocean Flux Study: Hawaii Ocean Time-series (JGOFS HOT)","WHOI Hawaii Ocean Timeseries Site (WHOTS)","WORLD CLIMATE RESEARCH PROGRAM","World Ocean Circulation Experiment (WOCE)","Coastal Waters of Hawaii","Hawaiian Islands Humpback Whale National Marine Sanctuary","North Pacific Ocean","Northeast Pacific Ocean (limit-180)","Papah\u0101naumoku\u0101kea Marine National Monument","oceanography","DOC/NOAA/NESDIS/NODC > National Oceanographic Data Center, NESDIS, NOAA, U.S. Department of Commerce","OR-STATE/CEOAS > College of Earth, Ocean, and Atmospheric Sciences, Oregon State University","WHOI > WOODS HOLE OCEANOGRAPHIC INSTITUTION","AC-1","AC-2","HA-1","HA-2","HA-3","HA-4","HA-5","HOT-1","HOT-10","HOT-100","HOT-101","HOT-102","HOT-103","HOT-104","HOT-105","HOT-11","HOT-12","HOT-13","HOT-14","HOT-15","HOT-16","HOT-17","HOT-18","HOT-19","HOT-2","HOT-20","HOT-21","HOT-22","HOT-23","HOT-24","HOT-25","HOT-26","HOT-27","HOT-28","HOT-29","HOT-3","HOT-30","HOT-31","HOT-32","HOT-33","HOT-34","HOT-35","HOT-36","HOT-37","HOT-38","HOT-39","HOT-4","HOT-40","HOT-41","HOT-42","HOT-43","HOT-44","HOT-45","HOT-46","HOT-47","HOT-48","HOT-49","HOT-5","HOT-50","HOT-51","HOT-52","HOT-53","HOT-54","HOT-55","HOT-56","HOT-57","HOT-58","HOT-59","HOT-6","HOT-60","HOT-61","HOT-62","HOT-63","HOT-64","HOT-65","HOT-66","HOT-67","HOT-68","HOT-69","HOT-7","HOT-70","HOT-71","HOT-72","HOT-73","HOT-74","HOT-75","HOT-76","HOT-77","HOT-78","HOT-79","HOT-8","HOT-80","HOT-81","HOT-82","HOT-83","HOT-84","HOT-85","HOT-86","HOT-87","HOT-88","HOT-89","HOT-9","HOT-90","HOT-91","HOT-92","HOT-93","HOT-94","HOT-95","HOT-96","HOT-97","HOT-98","HOT-99","CLIVAR > Climate Variability","HOT > Hawaiian Ocean Time Series Project","JGOFS > Joint Global Ocean Flux Study, IGBP","WCRP > World Climate Research Program","WOCE > World Ocean Circulation Experiment","Woods Hole HOT (WHOTS)","Woods Hole Hawaii Ocean Time Series (WHOTS)","HA-1","HA-2","HA-3","ALOHA-Climax","Hawaii Air-sea Logging Experiment, A Long-term Oligotrophic Habitat Assessment (HALE-ALOHA)","Hawaii Ocean Time-series (HOTS)","Joint Global Ocean Flux Study (JGOFS)","World Ocean Circulation Experiment (WOCE)","EARTH SCIENCE > AGRICULTURE > ANIMAL SCIENCE > ANIMAL PHYSIOLOGY AND BIOCHEMISTRY","EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC PRESSURE","EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC RADIATION > INCOMING SOLAR RADIATION","EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC TEMPERATURE","EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC TEMPERATURE > SURFACE TEMPERATURE > AIR TEMPERATURE","EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC TEMPERATURE > SURFACE TEMPERATURE > DEW POINT TEMPERATURE","EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WINDS > SURFACE WINDS > WIND DIRECTION","EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WINDS > SURFACE WINDS > WIND SPEED","EARTH SCIENCE > ATMOSPHERE > CLOUDS > CLOUD PROPERTIES > CLOUD FREQUENCY","EARTH SCIENCE > ATMOSPHERE > CLOUDS > CLOUD TYPES","EARTH SCIENCE > BIOLOGICAL CLASSIFICATION","EARTH SCIENCE > BIOLOGICAL CLASSIFICATION > BACTERIA/ARCHAEA","EARTH SCIENCE > BIOLOGICAL CLASSIFICATION > BACTERIA/ARCHAEA > CYANOBACTERIA (BLUE-GREEN ALGAE)","EARTH SCIENCE > BIOLOGICAL CLASSIFICATION > PROTISTS > PLANKTON > PHYTOPLANKTON","EARTH SCIENCE > BIOSPHERE > ECOLOGICAL DYNAMICS > ECOSYSTEM FUNCTIONS > PRIMARY PRODUCTION","EARTH SCIENCE > BIOSPHERE > ECOSYSTEMS > AQUATIC ECOSYSTEMS > PLANKTON > ZOOPLANKTON","EARTH SCIENCE > CLIMATE INDICATORS > ATMOSPHERIC/OCEAN INDICATORS > SURFACE SALINITY","EARTH SCIENCE > OCEANS > BATHYMETRY/SEAFLOOR TOPOGRAPHY > WATER DEPTH","EARTH SCIENCE > OCEANS > OCEAN ACOUSTICS > ACOUSTIC VELOCITY","EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY","EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > ALKALINITY","EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > AMMONIA","EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > CARBON","EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > CARBON DIOXIDE","EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > CHLOROPHYLL","EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > HYDROCARBONS","EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > INORGANIC CARBON","EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > NITRATE","EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > NITRITE","EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > NITROGEN","EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > NUTRIENTS","EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > ORGANIC CARBON","EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > OXYGEN","EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > PH","EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > PHOSPHATE","EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > PIGMENTS","EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > PIGMENTS > CHLOROPHYLL","EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > SILICATE","EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > SUSPENDED SOLIDS","EARTH SCIENCE > OCEANS > OCEAN CIRCULATION > OCEAN CURRENTS","EARTH SCIENCE > OCEANS > OCEAN OPTICS","EARTH SCIENCE > OCEANS > OCEAN OPTICS > ATTENUATION/TRANSMISSION","EARTH SCIENCE > OCEANS > OCEAN OPTICS > FLUORESCENCE","EARTH SCIENCE > OCEANS > OCEAN OPTICS > IRRADIANCE","EARTH SCIENCE > OCEANS > OCEAN OPTICS > OCEAN COLOR","EARTH SCIENCE > OCEANS > OCEAN OPTICS > PHOTOSYNTHETICALLY ACTIVE RADIATION","EARTH SCIENCE > OCEANS > OCEAN OPTICS > SECCHI DEPTH","EARTH SCIENCE > OCEANS > OCEAN OPTICS > TURBIDITY","EARTH SCIENCE > OCEANS > OCEAN PRESSURE > WATER PRESSURE","EARTH SCIENCE > OCEANS > OCEAN TEMPERATURE > POTENTIAL TEMPERATURE","EARTH SCIENCE > OCEANS > OCEAN TEMPERATURE > SEA SURFACE TEMPERATURE","EARTH SCIENCE > OCEANS > OCEAN TEMPERATURE > WATER TEMPERATURE","EARTH SCIENCE > OCEANS > OCEAN WAVES","EARTH SCIENCE > OCEANS > OCEAN WAVES > SEA STATE","EARTH SCIENCE > OCEANS > OCEAN WAVES > WAVE HEIGHT","EARTH SCIENCE > OCEANS > OCEAN WAVES > WAVE PERIOD","EARTH SCIENCE > OCEANS > SALINITY/DENSITY > CONDUCTIVITY","EARTH SCIENCE > OCEANS > SALINITY/DENSITY > DENSITY","EARTH SCIENCE > OCEANS > SALINITY/DENSITY > SALINITY","EARTH SCIENCE > OCEANS > TIDES","EARTH SCIENCE > OCEANS > TIDES > TIDAL HEIGHT","CTD","Chlorophyll, Pigment (uG/L)","Nitrate (uMOL/KG)","Oxygen (micromoles per kilogram)","Pressure (Decibars)","Salinity (1978 International Practical Salinity Scale)","Temperature (Degrees Celsius, International Temperature Scale of 1990)","hydrographic data","profile data","Adenosine 5'-Triphosphate (ATP) (ng/kg)","Alkalinity (ueq/kg)","Biogeochemical Rate Measurements","Bottle Oxygen (umol/kg)","Bottle Salinity (PSS-78)","CTD","CTD Oxygen (UMOL/KG)","CTD Pressure (Decibars)","CTD Salinity (PSS-78)","CTD Salinity (PSU-78)","CTD Temperature (ITS-90)","Carbon (mg/m2/d)","Carbon Assimilation","Chlorophyll a. Mean (mg/m3)","Chlorophyll and pigment","Chlorophylll, Pigment (uG/L)","Chlroropyll a. Standard Deviation (mg/m3)","Dark - replicate 1 (mg C/m3)","Dark - replicate 2 (mg C/m3)","Dark - replicate 3 (mg C/m3)","Delta-13C of PC (permil vs. VPDB)","Delta-15N of PN (permil vs. air-N2)","Dissolved Inorganic Carbon (DIC) (umol/kg)","Dissolved Organic Carbon (DOC) (umol/kg)","Dissolved Organic Nitrate (DON) (umol/kg)","Dissolved Organic Phosphate (DOP) (umol/kg)","Eukaryotes (E.bact) (10**5/ml)","Eukaryotes (no./ml)","Fluorometric Chlorophyll a (Chl a.) (ug/l)","Guanosine 5'-Triphosphate (GTP) (ng/kg)","HPLC 19'-Butanoyloxyfucoxanthin (19 But) (ng/l)","HPLC 19'-Hexanoyloxyfucoxanthin (19 Hex) (ng/l)","HPLC Alpha Carotens (A.Car) (ng/l)","HPLC Beta Carotens (B.Car) (ng/l)","HPLC Carotens (caroten) (ng/l)","HPLC Chlorophyll [c1+c2] & Mg 3, 8 DVP4A5 (Chl c1+2) (ng/l)","HPLC Chlorophyll c1 + c2 + c3 (Chl+) (ng/l)","HPLC Chlorophyll c3 (Chl c3) (ng/l)","HPLC Chlorophyllide a (Chlda a) (ng/l)","HPLC Chloropyll b (Chl b) (ng/l)","HPLC Chloropyll c4 (Chl c4) (ng/l)","HPLC Diadinoxanthin (Diadino) (ng/l)","HPLC Divinyl Chlorophyll a (DV.Chla) (ng/l)","HPLC Fucoxanthin (Fuco) (ng/l)","HPLC Lutein (Lutein) (ng/l)","HPLC Monovinyl Chlorophyll a (MV.Chla) (ng/l)","HPLC Peridinin (Peridino) (ng/l)","HPLC Prasinoxanthin (Prasino) (ng/l)","HPLC Violaxanthin (Viol) (ng/l)","HPLC Zeaxanthin (Zeaxan) (ng/l)","HPLC chlorophyll a. (HPLCchl) (ng/l)","Heterotrophic Bacteria (H.Bact) (10**5/ml)","Heterotrophic Bacteria (no./ml)","Hydrogen Peroxide (H2O2) (umol/kg)","International Temperature Scale of 1990)","Light - replicate 1 (mg C/m3)","Light - replicate 2 (mg C/m3)","Light - replicate 3 (mg C/m3)","Low-level Nitrate (LLN) (nmol/kg)","Low-level Phosphate (LLP) (nmol/kg)","Low-level Silica (LLSi) (umol/kg)","Mass (mg/m2/d)","NO2 (NMOL/KG)","Niskin Bottles","Nitrate (uMOL/KG)","Nitrate + Nitrite (NO2+NO3) (umol/kg)","Nitrogen (mg/m2/d)","Nitrous Oxide (N2O) (umol/kg)","Oxygen (micromoles per kilogram)","P13c (permil)","P15N (permil)","PE .4u (NG/L)","PE 10u (NG/L)","PE 5u (NG/L)","PIC (UMOL/KG)","Partial Pressure of Carbon Dioxide (pCO2) (uatm)","Particulate Carbon (PC) (umol/kg)","Particulate Inorganic Carbon (mg/m2/d)","Particulate Nitrogen (PN) (umol/kg)","Particulate Phosphate (PP) (nmol/kg)","Pheopigments (Pheo) (ug/l)","Pheopigments Mean (mg/m3)","Pheopigments Standard Deviation (mg/m3)","Phosphate (PO4) (umol/kg)","Phosphorus (mg/m2/d)","Potential Density (kg/m3)","Potential Temperature (ITC-90)","Pressure (Decibars)","Primary Production Parameters:","Prochlorococcus (P.Bact) (10**5/ml)","Prochlorococcus (no./ml)","Psi (NMOL/KG)","SPEC.SI (UMOL/KG)","Salinity (1978 International Practical Salinity Scale)","Salinity (PSS-78)","Sediment Trap Flux Parameters:","Silica (mg/m2/d)","Silicate (SiO4) (umol/kg)","Synechococcus (S.Bact) (10**5/ml)","Synechococcus (no./ml)","TD700A (UG/L)","TD700B (UG/L)","TD700C (UG/L)","Temperature (Degrees Celsius","Temperature (Degrees Celsius)","Temperature (ITC-90)","Total Dissolved Nitrogen (TDN) (umol/kg)","Total Dissolved Phosphorus (TDP) (umol/kg)","Transmission","bacterioplankton","biogeochemical data","butanoyloxyfucoxanthin","hydrographic data","oxygen","pH (TOT25, either sws25 or nbs25)","peridinin","physical data","physical oceanographic data","prasinoxanthin","profile data","salinity","surface measurements","temperature","temperature and salinity profile","temperature and salinity time series","thermosalinograph","thermosalinograph data","underway data","water chemistry profile","water column chemical data","zeaxan","CTD > Conductivity, Temperature, Depth","FLUOROMETERS > FLUOROMETERS","GRAB SAMPLERS","IES > Inverted Echo Sounders","INCUBATOR","OPTSPEC > Optical Spectrometer","OXYGEN METERS > OXYGEN METERS","RADIOMETERS","SALINOMETERS","SECCHI DISKS > SECCHI DISKS","SEDIMENT CORERS > SEDIMENT CORERS","THERMISTORS > THERMISTORS","THERMOSALINOGRAPHS","TRANSMISSOMETERS","TRAPS > TRAPS","XBT > Expendable Bathythermographs","Conductivity-Temperature-Depth (CTD)","Gas Tension Device (GTD)","FIXED OBSERVATION STATIONS > FIXED OBSERVATION STATIONS","Ships","ALPHA HELIX (call sign: WSD7078, ICES code: 31HX, 1966-)","CROMWELL (ICES code: 31WM)","Hi'ialakai (call sign: WTEY, ICES code: 33HL, 2004-)","KA'IMIKAI-O-KANALOA (call sign: WBN4310, ICES code: 33KI, 1995-)","KAHO (ICES code: 31KA)","KAIMALINO (ICES code: 33KA)","KILA (ICES code: 33KL)","KLAMATH (ICES code: 31KL)","KNORR (call sign: KCEJ, ICES code: 316N, 1970-)","Kilo Moana (call sign: WDA7827, ICES code: 33KB, 2002-)","MARINE VIEW (ICES code: 31MW)","MAURICE EWING (call sign: WLDZ, ICES code: 3230, 1988-2005)","MELVILLE (call sign: WECB, ICES code: 318M, 1969-)","MOANA WAVE (call sign: WUS9293, ICES code: 32MW, 1974-2011)","NA'INA (ICES code: 33NA)","NESHANIC (ICES code: 32NH)","NEW HORIZON (call sign: WKWB, ICES code: 32NM, 1978-2015)","OCEANUS (call sign: WXAQ, ICES code: 32OC, 1976-)","OSCAR ELTON SETTE (call sign: WTEE, ICES code: 33OC, 2003-)","ROGER REVELLE (call sign: KAOU, ICES code: 33RR, 1996-)","Sikuliaq (call sign: WDN7246, ICES code: 33BI, 2013-)","THOMAS G. 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data (either not collected or poor quality)","CDOM_a290_a350 - Chromophoric Dissolved Organic Matter (CDOM) ratio of absorbance between 290 nm and 350 nm","CDOM_a290_a350 - Chromophoric Dissolved Organic Matter (CDOM) ratio of absorbance between 290 nm and 350 nm; blank cells indicate no data (either not collected or poor quality)","CDOM_a350 - Chromophoric Dissolved Organic Matter (CDOM) absorbance at wavelength 350 nm","CDOM_a350 - Chromophoric Dissolved Organic Matter (CDOM) absorbance at wavelength 350 nm; blank cells indicate no data (either not collected or poor quality)","CDOM_a350_a400 - Chromophoric Dissolved Organic Matter (CDOM) ratio of absorbance between 350 and 400 nm","CDOM_a350_a400 - Chromophoric Dissolved Organic Matter (CDOM) ratio of absorbance between 350 and 400 nm; blank cells indicate no data (either not collected or poor quality)","CDOM_a365 - Chromophoric Dissolved Organic Matter (CDOM) absorbance at wavelength 365 nm","CDOM_a365 - Chromophoric Dissolved Organic Matter (CDOM) absorbance at wavelength 365 nm; blank cells indicate no data (either not collected or poor quality)","CDOM_a375 - Chromophoric Dissolved Organic Matter (CDOM) absorbance at wavelength 375 nm","CDOM_a375 - Chromophoric Dissolved Organic Matter (CDOM) absorbance at wavelength 375 nm; blank cells indicate no data (either not collected or poor quality)","CDOM_a412 - Chromophoric Dissolved Organic Matter (CDOM) absorbance at wavelength 412 nm","CDOM_a412 - Chromophoric Dissolved Organic Matter (CDOM) absorbance at wavelength 412 nm; blank cells indicate no data (either not collected or poor quality)","CDOM_a440 - Chromophoric Dissolved Organic Matter (CDOM) absorbance at wavelength 440 nm","CDOM_a440 - Chromophoric Dissolved Organic Matter (CDOM) absorbance at wavelength 440 nm; blank cells indicate no data (either not collected or poor quality)","CDOM_a443 - Chromophoric Dissolved Organic Matter (CDOM) absorbance at wavelength 443 nm","CDOM_a443 - Chromophoric Dissolved Organic Matter (CDOM) absorbance at wavelength 443 nm; blank cells indicate no data (either not collected or poor quality)","CHLORA - Chlorophyll A measurement","CHLORA_FLAG_W - Quality flag of Chlorophyll A measurement","CHLORA_STDEV - Chlorophyll A standard deviation","CHLORA_STDEV_FLAG_W - Quality flag of Chlorophyll A standard deviation","CPAR - corrected irradiance, percentage","CPAR_corrected_irradiance - In situ PAR (CTD sensor) over mast (incident) PAR","CStarAt0 - Beam Attenuation, Chelsea/Seatech/WET Labs Cstar","CStarTr0 - Beam Transmission percentage, Chelsea/Seatech/WET Labs CStar","CStarTr0 - Beam Transmission, Wet Labs CStar, (%)","CTDAlt_m - CTD Altimeter. Distance above seafloor","CTDCond_1 - First CTD conductivity measurement","CTDCond_2 - Second CTD conductivity measurement","CTDFluo_mg_m3 - CTD Fluorescence. Calibrated estimate of chlorophyll concentration in milligrams per meter cubed","CTDFluo_v_raw - CTD Flourescence in volts","CTDOXY - Oxygen measurement (using CTD sensor)","CTDOXY_FLAG_W - Quality flag of oxygen measurement","CTDOxy_mL/L_downcast - CTD Oxygen in milliliter per liter","CTDOxy_percent_Sat_downcast - CTD Oxygen saturation percentage","CTDOxy_volts_downcast - CTD Oxygen in volts","CTDPAR - CTD Photosynthetic Active radiation. Photosynthetic Photon Flux Density","CTDPRS - Pressure measurement (using CTD sensor)","CTDPres_dbar - Pressure measured in decibars","CTDSAL - Salinity measurement (using CTD sensor)","CTDSAL_FLAG_W - Quality flag of salinity","CTDSPAR - CTD Photosynthetic Active Radiation at Surface. Photosynthetic Photon Flux Density","CTDSalt_1 - First CTD salinity measurement","CTDSalt_2 - Second CTD salinity measurement","CTDScan_raw - CTD Scan","CTDStdDev_Alt - Standard deviation of altimeter","CTDStdDev_Cond_1 - Standard deviation of first conductivity measurement","CTDStdDev_Cond_2 - Standard deviation of second conductivity measurement","CTDStdDev_DO_1_volts - Standard deviation of dissolved oxygen","CTDStdDev_Fluor - Standard deviation of fluorescence in milligrams per meter cubed","CTDStdDev_Fluor_volts - Standard deviation of fluorescence in volts","CTDStdDev_PAR - CTD Standard Deviation Photosynthetic Active Radiation","CTDStdDev_SPAR - CTD Standard Deviation Photosynthetic Active Radiation at Surface","CTDStdDev_T90_1 - Standard deviation of first temperature measurement","CTDStdDev_T90_2 - Standard deviation of second temperature measurement","CTDStdDev_Trans - Standard deviation of transmissivity","CTDStdDev_Trans_volts - Standard deviation of transmissivity in volts","CTDTMP - Temperature measured (using CTD sensor)","CTDTemp_1 - First CTD temperature measurement","CTDTemp_2 - Second CTD temperature measurement","CTDTrans_percent - CTD Transmissivity in percent","CTDTrans_v_raw - CTD Transmissivity","Calculated actual depth at nominal depth 0.0 (m) - More accurate depths for the thermistors, calculated based on ocean pressure values.","Calculated actual depth at nominal depth 10.0 (m) - More accurate depths for the thermistors, calculated based on ocean pressure values.","Calculated actual depth at nominal depth 12.5 (m) - More accurate depths for the thermistors, calculated based on ocean pressure values.","Calculated actual depth at nominal depth 15.0 (m) - More accurate depths for the thermistors, calculated based on ocean pressure values.","Calculated actual depth at nominal depth 17.5 (m) - More accurate depths for the thermistors, calculated based on ocean pressure values.","Calculated actual depth at nominal depth 2.5 (m) - More accurate depths for the thermistors, calculated based on ocean pressure values.","Calculated actual depth at nominal depth 20.0 (m) - More accurate depths for the thermistors, calculated based on ocean pressure values.","Calculated actual depth at nominal depth 25.0 (m) - More accurate depths for the thermistors, calculated based on ocean pressure values.","Calculated actual depth at nominal depth 30.0 (m) - More accurate depths for the thermistors, calculated based on ocean pressure values.","Calculated actual depth at nominal depth 35.0 (m) - More accurate depths for the thermistors, calculated based on ocean pressure values.","Calculated actual depth at nominal depth 40.0 (m) - More accurate depths for the thermistors, calculated based on ocean pressure values.","Calculated actual depth at nominal depth 45.0 (m) - More accurate depths for the thermistors, calculated based on ocean pressure values.","Calculated actual depth at nominal depth 5.0 (m) - More accurate depths for the thermistors, calculated based on ocean pressure values.","Calculated actual depth at nominal depth 50.0 (m) - More accurate depths for the thermistors, calculated based on ocean pressure values.","Calculated actual depth at nominal depth 55.0 (m) - More accurate depths for the thermistors, calculated based on ocean pressure values.","Calculated actual depth at nominal depth 60.0 (m) - More accurate depths for the thermistors, calculated based on ocean pressure values.","Calculated actual depth at nominal depth 7.5 (m) - More accurate depths for the thermistors, calculated based on ocean pressure values.","Cast - Number of the vertical profile (cast) within the experiment","CastStartTime_UTC - Cast Start Time [UTC]","Cast_No - Unique number designating data collection sample","Cast_depth - cast depth measured at meters","Chl_a_Frey - Chlorophyll a measurement at Clark University based upon frozen filters","Chl_a_Frey - Chlorophyll a measurement at Clark University based upon frozen filters; blank cells indicate no data (either not collected or poor quality)","Conductivity - Conductivity (CTD sensor)","Conductivity - Water conductivity in milli-siemens per centimeter (0.1 siemens per meter).","Conductivity - Water conductivity in siemens per meter","Conductivity - Water conductivity measured in siemens per meter","Conductivity2 - Conductivity (CTD sensor, 2nd)","Corresponding_File - Filename of data recorded at location","Corrresponding_File - file name","Cruise - Cruise identifier","Cruise - Cruise name","Cruise.ID - cruise id","Cruise_ID - identification for cruise","CstarAt0 - Beam attenuation, Wet Labs Cstar (1/m)","DATE - Date that sample is taken on","DBO_LineRegion - Distributed Biological Observatory code indicating the regional location of the cruise.","DBO_LineRegion - Distributed Biological Observatory code indicating the regional location of the cruise. \"NA\" = station is not associated with a DBO station or region","DBO_Region - DBO identification","DBO_Region - Distributed Biological Observatory (DBO) region code","DBO_Station - Distributed Biological Observatory (DBO) station code","DBO_Station - specific station in DBO region","DBO_StationName - Distributed Biological Observatory station name that refers to a particular site and can be referenced with the Latitude and Longitude coordinates or by going to the NOAA DBO website: http://www.pmel.noaa.gov/dbo/sites/default/files/thumbnails/image/DBO_1-5_Regions_Stations.png","DBO_StationName - Distributed Biological Observatory station name that refers to a particular site and can be referenced with the Latitude and Longitude coordinates or by going to the NOAA DBO website: http://www.pmel.noaa.gov/dbo/sites/default/files/thumbnails/image/DBO_1-5_Regions_Stations.png ; \"NA\" = station is not associated with a DBO station or region","DEPTH - Depth of Rosette Niskin Bottle","DIC - Dissolved Inorganic Carbon measurement","DIC_FLAG_W - Quality flag of dissolved Inorganic Carbon measurement","DOC - dissolved organic carbon; blank cells indicate no data (either not collected or poor quality)","DataDate - Date of sample collection","Date - Date and Time","Date and Time - Date and time of measurement in UTC","Date_and_time - Date and time","Day - Time measured in days since midnight from 1 January 2012. Sample measurements are approximately 10 minute intervals.","Depth - Depth calculated from pressure","Depth_NMEA - Bottom depth (retrieved from navigation system)","EXPOCODE - Unique cruise code","Easting - Easting from a local control point, according to universal transverse mercator protocol.","Elevation - Elevation of the location, in meters above mean sea level.","Estimated depth at nominal depth 0.0 (m) - Estimated depth for each thermistor based on the ocean pressure values and a cable model","Estimated depth at nominal depth 10.0 (m) - Estimated depth for each thermistor based on the ocean pressure values and a cable model","Estimated depth at nominal depth 12.5 (m) - Estimated depth for each thermistor based on the ocean pressure values and a cable model","Estimated depth at nominal depth 15.0 (m) - Estimated depth for each thermistor based on the ocean pressure values and a cable model","Estimated depth at nominal depth 17.5 (m) - Estimated depth for each thermistor based on the ocean pressure values and a cable model","Estimated depth at nominal depth 2.5 (m) - Estimated depth for each thermistor based on the ocean pressure values and a cable model","Estimated depth at nominal depth 20.0 (m) - Estimated depth for each thermistor based on the ocean pressure values and a cable model","Estimated depth at nominal depth 25.0 (m) - Estimated depth for each thermistor based on the ocean pressure values and a cable model","Estimated depth at nominal depth 30.0 (m) - Estimated depth for each thermistor based on the ocean pressure values and a cable model","Estimated depth at nominal depth 35.0 (m) - Estimated depth for each thermistor based on the ocean pressure values and a cable model","Estimated depth at nominal depth 40.0 (m) - Estimated depth for each thermistor based on the ocean pressure values and a cable model","Estimated depth at nominal depth 45.0 (m) - Estimated depth for each thermistor based on the ocean pressure values and a cable model","Estimated depth at nominal depth 5.0 (m) - Estimated depth for each thermistor based on the ocean pressure values and a cable model","Estimated depth at nominal depth 50.0 (m) - Estimated depth for each thermistor based on the ocean pressure values and a cable model","Estimated depth at nominal depth 55.0 (m) - Estimated depth for each thermistor based on the ocean pressure values and a cable model","Estimated depth at nominal depth 60.0 (m) - Estimated depth for each thermistor based on the ocean pressure values and a cable model","Estimated depth at nominal depth 7.5 (m) - Estimated depth for each thermistor based on the ocean pressure values and a cable model","FLUOR - Fluorescence measurement (using CTD sensor)","Fluorescence - Fluorescense (CTD sensor)","Flur - fluoresence","Fo_mean - F0 from PAM (background fluorescence)","Fo_mean_FLAG_W - Quality flag of F0 from PAM (background fluorescence)","Fo_mean_error - Mean error of F0","Fo_mean_error_FLAG_W - Quality flag of mean error of F0","Fo_prop_error - Propagated error of F0","Fo_prop_error_FLAG_W - Quality flag of propagated error of F0","FvFm_mean - Fv:Fm (PAM)","FvFm_mean_FLAG_W - Quality flag of Fv:Fm","FvFm_mean_error - Mean error of Fv:Fm","FvFm_mean_error_FLAG_W - Quality flag of Fv:Fm mean error","FvFm_prop_error - Propagated error of Fv:Fm","FvFm_prop_error_FLAG_W - Quality flag of Fv:Fm propagated error","H2O - Water volume mixing ratio in units of parts per million by volume.","Height - Height of air sample line above initial reference height on meteorological tower.","Horizontal_Precision - An estimate of the precision of the measurement made.","ID - identification number","ID - station ID","Instrument - instrument used for sampling","Instrument - instrument used to collect data","LATITUDE - Latitude coordinates","LONGITUDE - Longitude coordinates","Latitude (N) - The latitude (North) of the data record","Latitude - Latitude","Latitude - Latitude North","Latitude - Location referenced to the NAD 1983 datum in decimal degrees.","Latitude - The DBO Line/Region and station name latitude in decimal degrees","Latitude_N - The DBO Line/Region and station name latitude in decimal degrees (N)","Latitude_degrees_north - Longitude coordinates","Longitude (E) - The longitude (East) of the data record","Longitude - Longitude","Longitude - Longitude West","Longitude - Longitude, based on NAD 1983 datum in decimal degrees.","Longitude - The DBO Line/Region and station name longitude in decimal degrees","Longitude_E - The DBO Line/Region and station name longitude in decimal degrees (E)","Longitude_degrees_east - Latitude coordinates","NH4 - Ammonium measurement","NH4_FLAG_W - Quality flag of ammonium measurement","NITRAT - Nitrat measurement","NITRAT_FLAG_W - Quality flag of Nitrat measurement","NITRIT - Nitrit measurement","NITRIT_FLAG_W - Quality flag of Nitrit","Nitrite_Nitrate - Dissolved Nitrite and Nitrate concentration","Nitrite_Nitrate - Dissolved Nitrite and Nitrate concentration; blank cells indicate no data (either not collected or poor quality)","Northing - Northing, according to universal transverse mercator for the local control.","Notes - Additional Notes","Notes - miscellaneous notes","Notes - random notes if necessary","O18-1 - Oxygen isotope ratios 18O:16O measured in parts per thousand scaled according to Vienna Standard Mean Ocean Water (_VSMOW)","O18-1 - Oxygen isotope ratios 18O:16O measured in parts per thousand scaled according to Vienna Standard Mean Ocean Water (_VSMOW); blank cells indicate no data (either not collected or poor quality)","OXYG - dissolved oxygen","OXYG2 - dissolved oxygen 2","OXYGEN - Oxygen measurement (manual)","OXYGEN_FLAG_W - Quality flag of oxygen measurement","Ocean Pressure (dB) at Sensor #1(Nominal Depth = 15.0 m) - Ocean Pressure (dB) at Sensor #1(Nominal Depth = 15.0 m)","Ocean Pressure (dB) at Sensor #1(Nominal Depth = 20.0 m) - Ocean Pressure (dB) at Sensor #1(Nominal Depth = 20.0 m)","Ocean Pressure (dB) at Sensor #1(Nominal Depth = 25.0 m) - Ocean Pressure (dB) at Sensor #1(Nominal Depth = 25.0 m)","Ocean Pressure (dB) at Sensor #2(Nominal Depth = 30.0 m) - Ocean Pressure (dB) at Sensor #2(Nominal Depth = 30.0 m)","Ocean Pressure (dB) at Sensor #2(Nominal Depth = 40.0 m) - Ocean Pressure (dB) at Sensor #2(Nominal Depth = 40.0 m)","Ocean Pressure (dB) at Sensor #3(Nominal Depth = 60.0 m) - Ocean Pressure (dB) at Sensor #3(Nominal Depth = 60.0 m)","Original.Filename - filename of data","Original_Filename - filename of data","OxCur - oxygen current","OxCur2 - secondary oxygen current measurement","Oxygen - Oxygen concentration (CTD sensor)","Oxygen - Water oxygen in milliliters per liter","Oxygen_raw_SBE43 - Oxygen concentration (CTD sensor) in raw","PAR - PAR Irradiance, Biospherical","PAR - Photosynthetically Active Radiation incoming from the atmosphere, measured at ~ 3 m height on the meteorological station, reported in microEinsteins.","PAR - irradiance","PE_Ek - Ek (light adaptation parameter from PE curves)","PE_Ek_FLAG_W - Quality flag of Ek","PE_Pmax - Maximum photosynthetic rate (from P-E curves)","PE_Pmax_FLAG_W - Quality flag of maximum photosynthetic rate","PE_alpha - Alpha (photosynthetic efficiency from P-E curves)","PE_alpha_FLAG_W - Quality flag of Alpha","PE_beta - Beta (photosynthetic parameter from PE curves)","PE_beta_FLAG_W - Quality flag of Beta","PE_pval - P value of the fit of the P-E curve","PE_pval_FLAG_W - Quality flag of P value","PE_rsqr - Respiration (from P-E curves)","PE_rsqr_FLAG_W - Quality flag of respiration","PHSPHT - Phosphate measurement","PHSPHT_FLAG_W - Quality flag of phosphate measurement","PI - principal investigator","PI - private investigator name","POC - Particulate Organic Carbon measurement","POC_FLAG_W - Quality flag of Particulate Organic Carbon measurement","PON - Particulate Organic Nitrogen measurement","PON_FLAG_W - Quality flag of Particulate Organic Nitrogen measurement","PPHYTIN - Phaeophytin measurement","PPHYTIN_FLAG_W - Quality flag of phaeophytin measurement","Pheophytin - Pheophytin measurements at Clark University based upon frozen filters","Pheophytin - Pheophytin measurements at Clark University based upon frozen filters; blank cells indicate no data (either not collected or poor quality)","Phosphate - Dissolved phosphate concentration","Phosphate - Dissolved phosphate concentration; blank cells indicate no data (either not collected or poor quality)","Point ID - This is a list of the specific geographical locations of the wells, as made at the ground surface adjacent to each well, provided in a few different ways.","Potential temperature - Water temperature in degree Celsius with pressure effects removed and referenced to zero pressure (potential temperature).","Pres - binned pressure","Pressure - Water pressure in decibar either measured or estimated.","Pressure - Water pressure measured in decibar","Pressure at Salinity Sensor (db) - Pressure at Salinity Sensor (db)","Pressure_digiquartz - Pressure (CTD sensor)","Project - project name","RH_percentage - Relative Humidity, measured in percent.","Raw_Pres_dbar - Pressure measured by CTD (conductivity, temperature and depth) device","Region - name of sampling region","Region - studied region","Rosette_Bottle_No - Rosette bottle number","SALT - Salinity measurement (manual)","SALT_FLAG_W - Quality flag of salinity measurement","SAMPNO - Sample number","SECT_ID - Section name","SILCAT - Silicate measurement","SILCAT_FLAG_W - Quality flag of Silicate","SPAR - surface irradiance, percentage","SPM_mg_L - Suspended particulate material","SPM_mg_L - Suspended particulate material; blank cells indicate no data (either not collected or poor quality)","STATION_SHORT - Station number","STNNBR - Station and cast number","Sal(1) - calibrated primary salinity","Sal(2) - calibrated secondary salinity","Salinity (ppt) - Salinity (ppt)","Salinity - Water salinity estimated from temperature, conductivity, and pressure given in practical salinity units (psu)","Salinity - Water salinity in Practical Salinity Units (psu) estimated from temperature, conductivity, and pressure","Salinity - Water salinity in Practical Salinity Units (psu) estimated from water temperature, conductivity, and pressure.","Salinity_Practical - Salinity (calculated from conductivity)","Salinity_Practical2 - Salinity (calculated from conductivity, 2nd sensor)","Salt_for_calc_sample_water_density - Salinity for calculating sample water density (use salt sample, but if bad or missing use CTD)","Sample_No - Sample number","Scan_count - number of data points averaged from this depth","Sea Level Pressure (mBar) - Sea Level Pressure (mBar)","Sect_ID - Name of section sampled","Sig_mean - Sigma (PAM)","Sig_mean_FLAG_W - Quality flag of Sigma","Sig_mean_error - Mean error of Sigma","Sig_mean_error_FLAG_W - Quality flag of Sigma mean error","Sig_prop_error - Propagated error of Sigma","Sig_prop_error_FLAG_W - Quality flag of Sigma propagated error","Silicate - Dissolved silica concentration","Silicate - Dissolved silica concentration; blank cells indicate no data (either not collected or poor quality)","Sound_velocity - Sound velocity","Spar - surface PAR/irradiance and Biospherical/Licor","Station - Distributed Biological Observatory (DBO) station code","Station - Station number and cast","Station.Name - station name","StationName - Name of station where data has been collected historically under a different name at the current DBO location","Station_Name - station name","Station_Short - Short station name","Submergence Percent - Percent of the time over the previous hour that the buoy was submerged.","T90(1) - calibrated primary temperature in celsius","T90(2) - calibrated secondary temperature in celsius","TA - Total Alkalinity","TA_FLAG_W - Quality flag of Alkalinity","TIME - Time that sample is taken at","Tau_mean - Tau (PAM)","Tau_mean_FLAG_W - Quality flag of Tau","Tau_mean_error - Mean error of Tau","Tau_mean_error_FLAG_W - Quality flag of Tau mean error","Tau_prop_error - Propagated error of Tau","Tau_prop_error_FLAG_W - Quality flag of Tau propagated error","Temperature - Temperature (CTD sensor)","Temperature - Water temperature in degree Celsius.","Temperature - Water temperature in degrees Celsius","Temperature - water temperature in degree Celsius","Temperature at Salinity Sensor (C) - Temperature at Salinity Sensor (C)","Temperature at nominal depth 0.0 (m) - Temperature at nominal depth 0.0 (m)","Temperature at nominal depth 10.0 (m) - Temperature at nominal depth 10.0 (m)","Temperature at nominal depth 12.5 (m) - Temperature at nominal depth 12.5 (m)","Temperature at nominal depth 15.0 (m) - Temperature at nominal depth 15.0 (m)","Temperature at nominal depth 17.5 (m) - Temperature at nominal depth 17.5 (m)","Temperature at nominal depth 2.5 (m) - Temperature at nominal depth 2.5 (m)","Temperature at nominal depth 20.0 (m) - Temperature at nominal depth 20.0 (m)","Temperature at nominal depth 25.0 (m) - Temperature at nominal depth 25.0 (m)","Temperature at nominal depth 30.0 (m) - Temperature at nominal depth 30.0 (m)","Temperature at nominal depth 35.0 (m) - Temperature at nominal depth 35.0 (m)","Temperature at nominal depth 40.0 (m) - Temperature at nominal depth 40.0 (m)","Temperature at nominal depth 45.0 (m) - Temperature at nominal depth 45.0 (m)","Temperature at nominal depth 5.0 (m) - Temperature at nominal depth 5.0 (m)","Temperature at nominal depth 50.0 (m) - Temperature at nominal depth 50.0 (m)","Temperature at nominal depth 55.0 (m) - Temperature at nominal depth 55.0 (m)","Temperature at nominal depth 60.0 (m) - Temperature at nominal depth 60.0 (m)","Temperature at nominal depth 7.5 (m) - Temperature at nominal depth 7.5 (m)","Temperature2 - Temperature (CTD sensor, 2nd)","Trans - beam transmission, percent","Trip - Rosette movement at time of sampling","Turbidity - cloudiness or haziness of a fluid","Type - Data type","UTC.DateTime - coordinated universal time","UTC_DateTime - coordinated universal time at sampling","Vertical_Precision - An estimate of the precision of the measurement made.","Vessel - vessel name","Vessel - vessel on which collection occurred","Water_Depth - Station water depth measured in meters","XMISS - Beam transmission","absolute_pressure - Absolute Pressure is measured below the water surface in kilopascals","absolute_pressure_barometric - Absolute Pressure is measured below the water surface in kilopascals, measured a second time with a barometer","altM - altimeter","bat - Beam Attenuation, Chelsea/Seatech/WET Labs Cstar","battery - Battery voltage of the MiniDOT sensor (runs on a set of AA batteries).","beg_scan_num - beginning scan number","c0S/m - The conductivity of the observation","c0S/m - conductivity, the degree to which a specified material conducts electricity","c0mS/cm - conductivity, the degree to which a specified material conducts electricity","c1mS/cm - conductivity 2, the degree to which a specified material conducts electricity","chla - Chlorophyll a concentration, based upon at sea measurements, Welschmeyer method and Turner Designs fluorometer","chla - Chlorophyll a concentration, based upon at sea measurements, Welschmeyer method and Turner Designs fluorometer; blank cells indicate no data (either not collected or poor quality)","d15N - Delta 15 Nitrogen measurement","d15N_FLAG_W - Quality flag of Delta 15 Nitrogen","d15N_STDEV - Standard deviation of Delta 15 Nitrogen","d15N_STDEV_FLAG_W - Quality flag of Delta 15 Nitrogen standard deviation","d18O - Delta 18 Oxygen measurement","d18O - Oxygen 18 isotope ratio in delta notation relative to Vienna Standard Mean Ocean Water in units of permil.","d18O_FLAG_W - Quality flag of Delta 18 Oxygen measurement","d18O_STDEV - Standard deviation of Delta 18 Oxygen","d18O_STDEV_FLAG_W - Quality flag of Delta 18 Oxygen standard deviation","dD - Deuterium isotope ratio in delta notation relative to Vienna Standard Mean Ocean Water in units of permil.","date - Date and Time stamp (local date and time) for each observation.","date - Date and time of measurement when it was made (should be a 30 minute interval). All are in UTC.","date - Date and time of measurements","date - date and time of sampling","day - The day of the month of the data record","density00 - The density of the observation","depSM - Depth in salt water","depSM - Depth salt water, m","depSM - depth","dissolved_oxygen - Dissolved oxygen concentration as measured in the surface water.","dissolved_oxygen_saturation - Surface water dissolved oxygen saturation, as calculated for the elevation and temperature observed. Units are percent, where values >100% represent supersaturation of dissolved oxygen, which is not uncommon in streams.","dovdt - Estimate of sensor output change over time","dovdt2 - Estimate of sensor output change over time","end_scan_num - ending scan number","firing_number - firing number of sensor","firing_position - firing position of sensor","flECO-AFL - WetLabs ECO fluorescence","flSP - Seapoint fluorometer fluorescence (relative units)","flag - The flag of the observation. (0).","flag - flag","flc - fluorescence","gust_speed - The highest wind speed measured over the past measurement period (e.g., 30 min), reported in meters per second.","horizontal_precision - An estimate of the precision of the horizontal measurement made.","hour (GMT) - The hour of the data record (GMT). Ranges from 0 to 23.","latitude - Latitude, decimal degrees","longitude - Longitude, decimal degrees","month - The month of the data record","nbf - Bottles Fired","nbin - number of scans per bin","nscans - number of CTD scans used in pressure bin-averaging","obs3+ - The turbidity of the observation","obs3+1 - The turbidity of the observation","oxsolMm/kg - Oxygen saturation, calculated from Garcia and Gordon, micro moles/kg","par - PAR/Irradiance, Biospherical/Licor","par - photosynthetically active radiation, irradiance, biospherical/licor","potemp090C - The potential temperature of the observation","prDM - Pressure, digiquartz, db","prDM - pressure in digiquartz","prdM - Pressure, Strain Gauge [db]","prdM - The pressure of the observation","prdM - pressure, strain gauge","pressure - Absolute Air Pressure or Barometric Pressure measured as millibars.","rain - Rainfall measured in the past 30 min in units of millimeters.","sal00 - Salinity, Practical [PSU]","sal00 - Salinity, practical (PSU)","sal00 - The salinity of the observation","sal00 - practical salinity, the concentration of dissolved salts in water etc.","sal00 - salinity, the concentration of dissolved salts in water","sal11 - Salinity, practical (PSU)","sal11 - salinity 2, the concentration of dissolved salts in water","sbeox0ML/L - recorded oxygen from SBE 43 instrument","sbeox0Mm/kg - Oxygen concentration from SBE43 probe, in micromoles/kg","sbeox0V - SBE43 raw oxygen sensor voltage","scan - scan count","sigma-t00 - Density [sigma-t, Kg/m^3 ]","sigma-t00 - Sigma theta density","sigma-theta - Density","solar_radiation - Solar Radiation is the shortwave radiation from the atmosphere measured at the meteorological station, units reported in Watts per square meter.","svCM - Sound Velocity","svCM - sound velocity in Chen-Millero m/s","t090C - Temperature, ITS-90, deg C","t090C - temperature in celsius","t190C - Temperature, ITS-90, deg C","t190C - temperature 2 in celsius","temperature - Air temperature in degrees Celsius.","temperature - Temperature measured in the well","temperature - Water temperature as measured by the MiniDOT data logger in the surface channel.","temperature_DewPt - Dew Point Temperature estimated based on the current air temperature and the relative humidity, reported as degrees Celsius.","timeJ - julian days","timeS - time elapsed","transect - Transect identification name","tv290C - Temperature [ITS-90, deg C]","tv290C - temperature in celsius, ITS-90","tv290c - The temperature of the observation, in ITS-90.","upoly0 - Upoly 0, turner cyclops fluoremeter","v0 - voltage 0","v1 - voltage 1","v2 - voltage 2","v3 - voltage 3","v4 - voltage 4","v5 - voltage 5","v6 - voltage 6","vertical_precision - An estimate of the precision of the vertical measurement made.","well - Well identification name","wetCDOM - WetLabs CDOM fluorescence","wetStar - Fluorescence, WET Labs WETstar [mg/m^3]","wind_direction - Wind direction reported from 0-360 degrees, with 0 degrees being roughly due north.","wind_speed - Wind speed averaged over the past period of measurement (e.g., 30 minutes) reported in meters per second.","wocecode - World Ocean Circulation Experiment quality word for each variable","xmiss - Beam Transmission percentage, Chelsea/Seatech/WET Labs CStar","year - The year of the data record","BAROMETERS > BAROMETERS","CTD > Conductivity, Temperature, Depth","DRIFTING BUOYS > DRIFTING BUOYS","FLUOROMETERS > FLUOROMETERS","HUMIDITY SENSORS > HUMIDITY SENSORS","OXYGEN METERS > OXYGEN METERS","PAR SENSORS > Photosynthetically Active Radiation Sensors","PRESSURE SENSORS > PRESSURE SENSORS","TEMPERATURE SENSORS > TEMPERATURE SENSORS","TRANSMISSOMETERS","BUOYS","LABORATORY > LABORATORY","Ships","HEALY (call sign: NEPP, ICES code: 33HQ, 1999-)","HEALY (call sign: NJUE, ICES code: 32H1, 1943-1958)","Sikuliaq (call sign: WDN7246, ICES code: 33BI, 2013-)","UKPIK","OCEAN > ARCTIC OCEAN","OCEAN > ARCTIC OCEAN > BEAUFORT SEA","OCEAN > ARCTIC OCEAN > CHUKCHI SEA","OCEAN > ATLANTIC OCEAN > NORTH ATLANTIC OCEAN > NORWEGIAN SEA","OCEAN > PACIFIC OCEAN > NORTH PACIFIC OCEAN > BERING SEA","ARCTIC OCEAN","ARCTIC OCEAN, ARCTIC OCEAN > CHUKCHI SEA, ARCTIC OCEAN > BEAUFORT SEA,","Bering Strait and Southern Chukchi Sea","Chukchi Sea and Western Beaufort Sea","Chukchi Sea, Arctic","DBO 1 - South of St. Lawrence Island, Bering Sea","DBO 2 - Chirikov Basin, Northern Bering Sea","DBO 3 - Southern Chukchi Sea","DBO 4 - Northeast Chukchi Sea","DBO 5 - Barrow Canyon, Chukchi Sea","DBO 6 - Beaufort Sea - 152 W","Ice shelf of Petermann Gletscher, North Greenland","Kongsfjorden, Svalbard, proximal to Kongsvegen and Kronebreen glaciers.","Kuparuk River Aufeis, Alaska","No geographic description provided.","Petermann Fjord, North Greenland","Petermann Gletscher, North Greenland","SWL2017 cruise extent","Summit Station Greenland. Tower was located south east of the main camp at the edge of undisturbed snow."],"landingPage":"https://www.ncei.noaa.gov/contact","language":[],"license":"https://creativecommons.org/publicdomain/zero/1.0/","modified":"2025-03-30T00:00:00.000+00:00","publisher":{"@type":"org:Organization","name":"NOAA National Centers for Environmental Information"},"references":["https://arcticdata.io/"],"rights":"otherRestrictions","spatial":"157.336,60.0,-180.0,90.0","temporal":"2004-07-17T00:00:00+00:00/2004-07-17T00:00:00+00:00","theme":["geospatial"],"title":"Datasets managed by the NSF Arctic Data Center and archived at the NOAA National Centers for Environmental Information"},"description":"The National Science Foundation (NSF) Arctic Data Center (ADC) preserves and provides access to multi-disciplinary NSF-funded global cryosphere-land-ocean-atmosphere data (including in situ and remote sensing, video, sound, and other data). This collection includes all such data which has been provided to and has been archived by the NOAA National Centers for Environmental Information (NCEI). The data span from 1800 to present and include many measured variables and calculated parameters.","distribution_titles":["NCEI Dataset Landing Page","Granule Search","https://arcticdata.io/","GCMD Keyword Forum Page","NCEI Contact Information"],"harvest_record":"https://catalog.data.gov/harvest_record/2c1a3f60-4037-41f7-8b1c-838f0b03cd04","harvest_record_raw":"https://catalog.data.gov/harvest_record/2c1a3f60-4037-41f7-8b1c-838f0b03cd04/raw","harvest_record_transformed":"https://catalog.data.gov/harvest_record/2c1a3f60-4037-41f7-8b1c-838f0b03cd04/transformed","has_download":false,"has_spatial":true,"identifier":"https://data.noaa.gov/waf/NOAA/NESDIS/ncei/accessions/iso/xml/NSF-ADC.xml","keyword":["0221778","0221908","0221922","0222014","0222325","0278971","0280267","0282184","0282185","0282239","0282240","0282241","0282287","0282288","0282333","0282334","0282335","0282336","0282337","0282338","0282339","0282412","0292933","0293332","0293356","0299021","0299399","0299400","0299401","0299450","0299451","0302981","0302982","AIR TEMPERATURE","BAROMETRIC PRESSURE","BEAM ATTENUATION COEFFICIENT","Chromophoric Dissolved Organic Matter (CDOM)","CONDUCTIVITY","DEPTH - OBSERVATION","dew point","DISSOLVED OXYGEN","FLUORESCENCE","HYDROSTATIC PRESSURE","OXYGEN","OXYGEN - PERCENT SATURATION","PHOTOSYNTHETIC ACTIVE RADIATION (PAR)","PRECIPITATION","RELATIVE HUMIDITY","SALINITY","SIGMA-T","SIGMA-THETA","SOLAR RADIATION - ATMOSPHERIC","SOUND VELOCITY","TRANSMISSIVITY","WATER TEMPERATURE","WIND DIRECTION","WIND GUST","WIND SPEED","barometer","bottle","CTD","fluorometer","humidity sensor","irradiance detector","meteorological sensor","oxygen sensor","PAR Sensor","temperature sensor","transmissometer","chemical","physical","profile","Sikuliaq","USCGC Healy","USS HEALY","Chesapeake Biological Laboratory","Clark University","Department of Fisheries and Oceans Canada, Institute of Ocean Sciences - Victoria","Georgia Institute of Technology","Oregon State University","Scripps Institution of Oceanography","Stanford University","Tokyo Metropolitan University","University of Alabama","University of Alaska Fairbanks","University of Colorado Boulder","University of Delaware","University of Massachusetts Amherst","University of Washington, Applied Physics Laboratory","University of Washington, Applied Physics Laboratory, Polar Science Center","Woods Hole Oceanographic Institution","NSF Arctic Data Center","Arctic Observing Network (AON)","Shelf Basin Interaction Project (SBI)","Arctic Ocean","Beaufort Sea","Bering Sea","Chukchi Sea","East Siberian Sea","Greenland Sea (including Iceland Sea and North Greenland Sea)","Lincoln Sea","Norwegian Sea","oceanography","Arcticdata > Arctic Data Center","CA/DFO/PR/SB/IOS > Institute of Ocean Sciences, Science Branch, Pacific Region, Fisheries and Oceans, Canada","UWA/APL > Applied Physics Laboratory, University of Washington","UWA/APL/PSC > Polar Science Center, Applied Physics Laboratory, University of Washington","WHOI > WOODS HOLE OCEANOGRAPHIC INSTITUTION","AON > Arctic Observing Network","SBI > Western Arctic Shelf Basin Interactions","Closing the Isotope Hydrology at Summit: Measurements of Source Regions, Precipitation and Post-deposition Processes","Collaborative Research: Arctic Oases - How does the delayed release of winter discharge from aufeis affect the ecosystem structure and function of rivers?","Collaborative Research: CTD/Hydrographic and Underway Service Measurements for the Shelf-Basin Interactions Phase II Field Project","Collaborative Research: Glacier-Ocean Interactions at a Greenland Ice Shelf at Tidal to Interannual Time Scales","Collaborative Research: REU Site: Svalbard REU: Holocene and Modern Climate Change in the Norwegian High Arctic","Collaborative Research: The Distributed Biological Observatory (DBO)-A Change Detection Array in the Pacific Arctic Region","Distributed Biological Observatory (DBO), Conductivity-Temperature-Depth (CTD) data along DBO3, from 2011 ICESCAPE on the USCGC Healy (HLY1101)","Distributed Biological Observatory (DBO), Conductivity-Temperature-Depth (CTD) data along DBO3, from 2011 RUSALCA on R/V Kromov","Distributed Biological Observatory (DBO), Conductivity-Temperature-Depth (CTD) data along DBO3, from 2012 RUSALCA on R/V Kromov","Distributed Biological Observatory (DBO), Conductivity-Temperature-Depth (CTD) data along DBO4, from 2011 CSESP on the Westward Wind","Distributed Biological Observatory (DBO), Conductivity-Temperature-Depth (CTD) data along DBO4, from 2012 CSESP on the Westward Wind","Distributed Biological Observatory (DBO), Conductivity-Temperature-Depth (CTD) data along DBO5, from 2010 ICESCAPE on the USCGC Healy (HLY1001)","Distributed Biological Observatory (DBO), Conductivity-Temperature-Depth (CTD) data along DBO5, from 2011 on the USCGC Healy (HLY1104)","Distributed Biological Observatory (DBO), Conductivity-Temperature-Depth (CTD) data along DBO5, from the 2013 Arctic Observing Network (AON) on the RV Annika Marie.","Distributed Biological Observatory (DBO), Conductivity-Temperature-Depth (CTD) data along DBO6, from 2010 AON on the USCGC Healy (HLY1003)","Distributed Biological Observatory (DBO), Conductivity-Temperature-Depth (CTD) data along DBO6, from 2011 ICESCAPE on the USCGC Healy (HLY1101)","Late Season Productivity, Carbon, and Nutrient Dynamics in a Changing Arctic","SUBICE Bottle File","SUBICE CTD Data","SWL16_Bottle_data v1","Submission Title: Distributed Biological Observatory (DBO), Conductivity-Temperature-Depth (CTD) data along DBO5, from 2012 AON on the USCGC Healy (HLY1203)","UpTempO: Measuring the Upper Layer Temperature of the Arctic Ocean","EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC PRESSURE","EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC PRESSURE > ATMOSPHERIC PRESSURE MEASUREMENTS","EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC PRESSURE > SEA LEVEL PRESSURE","EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC RADIATION > INCOMING SOLAR RADIATION","EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC TEMPERATURE","EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC TEMPERATURE > SURFACE TEMPERATURE > DEW POINT TEMPERATURE","EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WATER VAPOR > WATER VAPOR INDICATORS > HUMIDITY > RELATIVE HUMIDITY","EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WINDS > SURFACE WINDS","EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WINDS > SURFACE WINDS > WIND DIRECTION","EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WINDS > SURFACE WINDS > WIND SPEED","EARTH SCIENCE > ATMOSPHERE > PRECIPITATION","EARTH SCIENCE > OCEANS > OCEAN ACOUSTICS > ACOUSTIC VELOCITY","EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > ORGANIC MATTER","EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > OXYGEN","EARTH SCIENCE > OCEANS > OCEAN CIRCULATION > WATER MASSES","EARTH SCIENCE > OCEANS > OCEAN OPTICS > ATTENUATION/TRANSMISSION","EARTH SCIENCE > OCEANS > OCEAN OPTICS > FLUORESCENCE","EARTH SCIENCE > OCEANS > OCEAN OPTICS > PHOTOSYNTHETICALLY ACTIVE RADIATION","EARTH SCIENCE > OCEANS > OCEAN PRESSURE > SEA LEVEL PRESSURE","EARTH SCIENCE > OCEANS > OCEAN PRESSURE > WATER PRESSURE","EARTH SCIENCE > OCEANS > OCEAN TEMPERATURE","EARTH SCIENCE > OCEANS > OCEAN TEMPERATURE > OCEAN MIXED LAYER","EARTH SCIENCE > OCEANS > OCEAN TEMPERATURE > SEA SURFACE TEMPERATURE","EARTH SCIENCE > OCEANS > OCEAN TEMPERATURE > WATER TEMPERATURE","EARTH SCIENCE > OCEANS > SALINITY/DENSITY","EARTH SCIENCE > OCEANS > SALINITY/DENSITY > CONDUCTIVITY","EARTH SCIENCE > OCEANS > SALINITY/DENSITY > DENSITY","EARTH SCIENCE > OCEANS > SALINITY/DENSITY > SALINITY","2011","ALKALINITY","ARCTIC OCEAN","Arctic","BEAM TRANSMISSION","Bering Strait","Biology","CHLOROPHYLL","CHUKCHI SEA","CTD","CTD ocean cast","Conductivity, Temperature, Depth","DAILY TO WEEKLY","DBO","DBO3","DBO4","DBO5","DBO6","DENSITY","DOC","DRIFTING BUOY","Distributed Biological Observatory","FLUORESCENCE","HOURLY TO DAILY","IRRADIANCE","KONGSFJORDEN","KONGSVEGEN","KRONEBREEN","LESS THAN 1 METER","NORTH ATLANTIC OCEAN","NUTRIENTS","OXYGEN","Ocean Salinity","Ocean Temperature","Oceanography","POINT","PRIMARY PRODUCTION","SALINITY","SHIP","STATION","SUMMER","SVALBARD AND JAN MAYEN","Southern Chukchi Sea","TEMPERATURE","TRAJECTORY","WATER TEMPERATURE","ammonium","aufies","chlorophyll a concentrations","chromophoric dissolved organic matter (CDOM)","delta O-18","deuterium","dissolved organic carbon","dissolved oxygen","dissolved oxygen concentration","electrical conductivity","hydrogen","icing","isotope","nitrate","nitrite","phosphate","pressure","silica","water vapor","Agency - agency hosting projcet","Agency - agency name","Air Temperature (C) - Air Temperature (C)","Altimeter - Depth from the bottom","Altimeter - bottom-finding altimeter reading","Ammonia - Dissolved ammonia concentration","Ammonia - Dissolved ammonia concentration; blank cells indicate no data (either not collected or poor quality)","Atmospheric Temperature at ~1m (degrees C) - Atmospheric Temperature at ~1m (degrees C)","BAT - beam attenuation","BTLDPTH - Bottle depth","BTLNBR - Rosette niskin bottle number","BTLNBR_FLAG_W - Quality flag of rosette niskin bottle","BactProd - Bacterial production","BactProd_C - Bacterial production in Carbon units","BactProd_C_FLAG_W - Quality flag of bacterial production in Carbon units","BactProd_FLAG_W - Quality flag of bacterial production","BactProd_SDEV - Standard deviation of bacterial production","BactProd_SDEV_FLAG_W - Quality flag of bacterial production standard deviation","Bact_Prod_CV - Coefficient of variation of bacterial production","Bact_Prod_CV_FLAG_W - Quality flag of bacterial production variation coefficient","Battery Voltage (V) - Battery Voltage (V)","Beam Transmission - Beam transmission (CTD sensor)","Bottle_depth - Bottle depth","Bottom.Depth - bottom depth of sampling","Bottom_Depth - depth of sampling","CASTNO - Cast number","CDOM_a250 - Chromophoric Dissolved Organic Matter (CDOM) absorbance at wavelength 250 nm","CDOM_a250 - Chromophoric Dissolved Organic Matter (CDOM) absorbance at wavelength 250 nm; blank cells indicate no data (either not collected or poor quality)","CDOM_a250_a365 - Chromophoric Dissolved Organic Matter (CDOM) ratio of absorbance between 250 nm and 365 nm","CDOM_a250_a365 - Chromophoric Dissolved Organic Matter (CDOM) ratio of absorbance between 250 nm and 365 nm; blank cells indicate no data (either not collected or poor quality)","CDOM_a254 - Chromophoric Dissolved Organic Matter (CDOM) absorbance at wavelength 254 nm","CDOM_a254 - Chromophoric Dissolved Organic Matter (CDOM) absorbance at wavelength 254 nm; blank cells indicate no data (either not collected or poor quality)","CDOM_a275_a295 - Chromophoric Dissolved Organic Matter (CDOM) ratio of absorbance between 275 nm and 295 nm","CDOM_a275_a295 - Chromophoric Dissolved Organic Matter (CDOM) ratio of absorbance between 275 nm and 295 nm; blank cells indicate no data (either not collected or poor quality)","CDOM_a275_a350 - Chromophoric Dissolved Organic Matter (CDOM) ratio of absorbance between 275-295 nm and 350-400 nm","CDOM_a275_a350 - Chromophoric Dissolved Organic Matter (CDOM) ratio of absorbance between 275-295 nm and 350-400 nm; blank cells indicate no data (either not collected or poor quality)","CDOM_a290_a350 - Chromophoric Dissolved Organic Matter (CDOM) ratio of absorbance between 290 nm and 350 nm","CDOM_a290_a350 - Chromophoric Dissolved Organic Matter (CDOM) ratio of absorbance between 290 nm and 350 nm; blank cells indicate no data (either not collected or poor quality)","CDOM_a350 - Chromophoric Dissolved Organic Matter (CDOM) absorbance at wavelength 350 nm","CDOM_a350 - Chromophoric Dissolved Organic Matter (CDOM) absorbance at wavelength 350 nm; blank cells indicate no data (either not collected or poor quality)","CDOM_a350_a400 - Chromophoric Dissolved Organic Matter (CDOM) ratio of absorbance between 350 and 400 nm","CDOM_a350_a400 - Chromophoric Dissolved Organic Matter (CDOM) ratio of absorbance between 350 and 400 nm; blank cells indicate no data (either not collected or poor quality)","CDOM_a365 - Chromophoric Dissolved Organic Matter (CDOM) absorbance at wavelength 365 nm","CDOM_a365 - Chromophoric Dissolved Organic Matter (CDOM) absorbance at wavelength 365 nm; blank cells indicate no data (either not collected or poor quality)","CDOM_a375 - Chromophoric Dissolved Organic Matter (CDOM) absorbance at wavelength 375 nm","CDOM_a375 - Chromophoric Dissolved Organic Matter (CDOM) absorbance at wavelength 375 nm; blank cells indicate no data (either not collected or poor quality)","CDOM_a412 - Chromophoric Dissolved Organic Matter (CDOM) absorbance at wavelength 412 nm","CDOM_a412 - Chromophoric Dissolved Organic Matter (CDOM) absorbance at wavelength 412 nm; blank cells indicate no data (either not collected or poor quality)","CDOM_a440 - Chromophoric Dissolved Organic Matter (CDOM) absorbance at wavelength 440 nm","CDOM_a440 - Chromophoric Dissolved Organic Matter (CDOM) absorbance at wavelength 440 nm; blank cells indicate no data (either not collected or poor quality)","CDOM_a443 - Chromophoric Dissolved Organic Matter (CDOM) absorbance at wavelength 443 nm","CDOM_a443 - Chromophoric Dissolved Organic Matter (CDOM) absorbance at wavelength 443 nm; blank cells indicate no data (either not collected or poor quality)","CHLORA - Chlorophyll A measurement","CHLORA_FLAG_W - Quality flag of Chlorophyll A measurement","CHLORA_STDEV - Chlorophyll A standard deviation","CHLORA_STDEV_FLAG_W - Quality flag of Chlorophyll A standard deviation","CPAR - corrected irradiance, percentage","CPAR_corrected_irradiance - In situ PAR (CTD sensor) over mast (incident) PAR","CStarAt0 - Beam Attenuation, Chelsea/Seatech/WET Labs Cstar","CStarTr0 - Beam Transmission percentage, Chelsea/Seatech/WET Labs CStar","CStarTr0 - Beam Transmission, Wet Labs CStar, (%)","CTDAlt_m - CTD Altimeter. Distance above seafloor","CTDCond_1 - First CTD conductivity measurement","CTDCond_2 - Second CTD conductivity measurement","CTDFluo_mg_m3 - CTD Fluorescence. Calibrated estimate of chlorophyll concentration in milligrams per meter cubed","CTDFluo_v_raw - CTD Flourescence in volts","CTDOXY - Oxygen measurement (using CTD sensor)","CTDOXY_FLAG_W - Quality flag of oxygen measurement","CTDOxy_mL/L_downcast - CTD Oxygen in milliliter per liter","CTDOxy_percent_Sat_downcast - CTD Oxygen saturation percentage","CTDOxy_volts_downcast - CTD Oxygen in volts","CTDPAR - CTD Photosynthetic Active radiation. Photosynthetic Photon Flux Density","CTDPRS - Pressure measurement (using CTD sensor)","CTDPres_dbar - Pressure measured in decibars","CTDSAL - Salinity measurement (using CTD sensor)","CTDSAL_FLAG_W - Quality flag of salinity","CTDSPAR - CTD Photosynthetic Active Radiation at Surface. Photosynthetic Photon Flux Density","CTDSalt_1 - First CTD salinity measurement","CTDSalt_2 - Second CTD salinity measurement","CTDScan_raw - CTD Scan","CTDStdDev_Alt - Standard deviation of altimeter","CTDStdDev_Cond_1 - Standard deviation of first conductivity measurement","CTDStdDev_Cond_2 - Standard deviation of second conductivity measurement","CTDStdDev_DO_1_volts - Standard deviation of dissolved oxygen","CTDStdDev_Fluor - Standard deviation of fluorescence in milligrams per meter cubed","CTDStdDev_Fluor_volts - Standard deviation of fluorescence in volts","CTDStdDev_PAR - CTD Standard Deviation Photosynthetic Active Radiation","CTDStdDev_SPAR - CTD Standard Deviation Photosynthetic Active Radiation at Surface","CTDStdDev_T90_1 - Standard deviation of first temperature measurement","CTDStdDev_T90_2 - Standard deviation of second temperature measurement","CTDStdDev_Trans - Standard deviation of transmissivity","CTDStdDev_Trans_volts - Standard deviation of transmissivity in volts","CTDTMP - Temperature measured (using CTD sensor)","CTDTemp_1 - First CTD temperature measurement","CTDTemp_2 - Second CTD temperature measurement","CTDTrans_percent - CTD Transmissivity in percent","CTDTrans_v_raw - CTD Transmissivity","Calculated actual depth at nominal depth 0.0 (m) - More accurate depths for the thermistors, calculated based on ocean pressure values.","Calculated actual depth at nominal depth 10.0 (m) - More accurate depths for the thermistors, calculated based on ocean pressure values.","Calculated actual depth at nominal depth 12.5 (m) - More accurate depths for the thermistors, calculated based on ocean pressure values.","Calculated actual depth at nominal depth 15.0 (m) - More accurate depths for the thermistors, calculated based on ocean pressure values.","Calculated actual depth at nominal depth 17.5 (m) - More accurate depths for the thermistors, calculated based on ocean pressure values.","Calculated actual depth at nominal depth 2.5 (m) - More accurate depths for the thermistors, calculated based on ocean pressure values.","Calculated actual depth at nominal depth 20.0 (m) - More accurate depths for the thermistors, calculated based on ocean pressure values.","Calculated actual depth at nominal depth 25.0 (m) - More accurate depths for the thermistors, calculated based on ocean pressure values.","Calculated actual depth at nominal depth 30.0 (m) - More accurate depths for the thermistors, calculated based on ocean pressure values.","Calculated actual depth at nominal depth 35.0 (m) - More accurate depths for the thermistors, calculated based on ocean pressure values.","Calculated actual depth at nominal depth 40.0 (m) - More accurate depths for the thermistors, calculated based on ocean pressure values.","Calculated actual depth at nominal depth 45.0 (m) - More accurate depths for the thermistors, calculated based on ocean pressure values.","Calculated actual depth at nominal depth 5.0 (m) - More accurate depths for the thermistors, calculated based on ocean pressure values.","Calculated actual depth at nominal depth 50.0 (m) - More accurate depths for the thermistors, calculated based on ocean pressure values.","Calculated actual depth at nominal depth 55.0 (m) - More accurate depths for the thermistors, calculated based on ocean pressure values.","Calculated actual depth at nominal depth 60.0 (m) - More accurate depths for the thermistors, calculated based on ocean pressure values.","Calculated actual depth at nominal depth 7.5 (m) - More accurate depths for the thermistors, calculated based on ocean pressure values.","Cast - Number of the vertical profile (cast) within the experiment","CastStartTime_UTC - Cast Start Time [UTC]","Cast_No - Unique number designating data collection sample","Cast_depth - cast depth measured at meters","Chl_a_Frey - Chlorophyll a measurement at Clark University based upon frozen filters","Chl_a_Frey - Chlorophyll a measurement at Clark University based upon frozen filters; blank cells indicate no data (either not collected or poor quality)","Conductivity - Conductivity (CTD sensor)","Conductivity - Water conductivity in milli-siemens per centimeter (0.1 siemens per meter).","Conductivity - Water conductivity in siemens per meter","Conductivity - Water conductivity measured in siemens per meter","Conductivity2 - Conductivity (CTD sensor, 2nd)","Corresponding_File - Filename of data recorded at location","Corrresponding_File - file name","Cruise - Cruise identifier","Cruise - Cruise name","Cruise.ID - cruise id","Cruise_ID - identification for cruise","CstarAt0 - Beam attenuation, Wet Labs Cstar (1/m)","DATE - Date that sample is taken on","DBO_LineRegion - Distributed Biological Observatory code indicating the regional location of the cruise.","DBO_LineRegion - Distributed Biological Observatory code indicating the regional location of the cruise. \"NA\" = station is not associated with a DBO station or region","DBO_Region - DBO identification","DBO_Region - Distributed Biological Observatory (DBO) region code","DBO_Station - Distributed Biological Observatory (DBO) station code","DBO_Station - specific station in DBO region","DBO_StationName - Distributed Biological Observatory station name that refers to a particular site and can be referenced with the Latitude and Longitude coordinates or by going to the NOAA DBO website: http://www.pmel.noaa.gov/dbo/sites/default/files/thumbnails/image/DBO_1-5_Regions_Stations.png","DBO_StationName - Distributed Biological Observatory station name that refers to a particular site and can be referenced with the Latitude and Longitude coordinates or by going to the NOAA DBO website: http://www.pmel.noaa.gov/dbo/sites/default/files/thumbnails/image/DBO_1-5_Regions_Stations.png ; \"NA\" = station is not associated with a DBO station or region","DEPTH - Depth of Rosette Niskin Bottle","DIC - Dissolved Inorganic Carbon measurement","DIC_FLAG_W - Quality flag of dissolved Inorganic Carbon measurement","DOC - dissolved organic carbon; blank cells indicate no data (either not collected or poor quality)","DataDate - Date of sample collection","Date - Date and Time","Date and Time - Date and time of measurement in UTC","Date_and_time - Date and time","Day - Time measured in days since midnight from 1 January 2012. Sample measurements are approximately 10 minute intervals.","Depth - Depth calculated from pressure","Depth_NMEA - Bottom depth (retrieved from navigation system)","EXPOCODE - Unique cruise code","Easting - Easting from a local control point, according to universal transverse mercator protocol.","Elevation - Elevation of the location, in meters above mean sea level.","Estimated depth at nominal depth 0.0 (m) - Estimated depth for each thermistor based on the ocean pressure values and a cable model","Estimated depth at nominal depth 10.0 (m) - Estimated depth for each thermistor based on the ocean pressure values and a cable model","Estimated depth at nominal depth 12.5 (m) - Estimated depth for each thermistor based on the ocean pressure values and a cable model","Estimated depth at nominal depth 15.0 (m) - Estimated depth for each thermistor based on the ocean pressure values and a cable model","Estimated depth at nominal depth 17.5 (m) - Estimated depth for each thermistor based on the ocean pressure values and a cable model","Estimated depth at nominal depth 2.5 (m) - Estimated depth for each thermistor based on the ocean pressure values and a cable model","Estimated depth at nominal depth 20.0 (m) - Estimated depth for each thermistor based on the ocean pressure values and a cable model","Estimated depth at nominal depth 25.0 (m) - Estimated depth for each thermistor based on the ocean pressure values and a cable model","Estimated depth at nominal depth 30.0 (m) - Estimated depth for each thermistor based on the ocean pressure values and a cable model","Estimated depth at nominal depth 35.0 (m) - Estimated depth for each thermistor based on the ocean pressure values and a cable model","Estimated depth at nominal depth 40.0 (m) - Estimated depth for each thermistor based on the ocean pressure values and a cable model","Estimated depth at nominal depth 45.0 (m) - Estimated depth for each thermistor based on the ocean pressure values and a cable model","Estimated depth at nominal depth 5.0 (m) - Estimated depth for each thermistor based on the ocean pressure values and a cable model","Estimated depth at nominal depth 50.0 (m) - Estimated depth for each thermistor based on the ocean pressure values and a cable model","Estimated depth at nominal depth 55.0 (m) - Estimated depth for each thermistor based on the ocean pressure values and a cable model","Estimated depth at nominal depth 60.0 (m) - Estimated depth for each thermistor based on the ocean pressure values and a cable model","Estimated depth at nominal depth 7.5 (m) - Estimated depth for each thermistor based on the ocean pressure values and a cable model","FLUOR - Fluorescence measurement (using CTD sensor)","Fluorescence - Fluorescense (CTD sensor)","Flur - fluoresence","Fo_mean - F0 from PAM (background fluorescence)","Fo_mean_FLAG_W - Quality flag of F0 from PAM (background fluorescence)","Fo_mean_error - Mean error of F0","Fo_mean_error_FLAG_W - Quality flag of mean error of F0","Fo_prop_error - Propagated error of F0","Fo_prop_error_FLAG_W - Quality flag of propagated error of F0","FvFm_mean - Fv:Fm (PAM)","FvFm_mean_FLAG_W - Quality flag of Fv:Fm","FvFm_mean_error - Mean error of Fv:Fm","FvFm_mean_error_FLAG_W - Quality flag of Fv:Fm mean error","FvFm_prop_error - Propagated error of Fv:Fm","FvFm_prop_error_FLAG_W - Quality flag of Fv:Fm propagated error","H2O - Water volume mixing ratio in units of parts per million by volume.","Height - Height of air sample line above initial reference height on meteorological tower.","Horizontal_Precision - An estimate of the precision of the measurement made.","ID - identification number","ID - station ID","Instrument - instrument used for sampling","Instrument - instrument used to collect data","LATITUDE - Latitude coordinates","LONGITUDE - Longitude coordinates","Latitude (N) - The latitude (North) of the data record","Latitude - Latitude","Latitude - Latitude North","Latitude - Location referenced to the NAD 1983 datum in decimal degrees.","Latitude - The DBO Line/Region and station name latitude in decimal degrees","Latitude_N - The DBO Line/Region and station name latitude in decimal degrees (N)","Latitude_degrees_north - Longitude coordinates","Longitude (E) - The longitude (East) of the data record","Longitude - Longitude","Longitude - Longitude West","Longitude - Longitude, based on NAD 1983 datum in decimal degrees.","Longitude - The DBO Line/Region and station name longitude in decimal degrees","Longitude_E - The DBO Line/Region and station name longitude in decimal degrees (E)","Longitude_degrees_east - Latitude coordinates","NH4 - Ammonium measurement","NH4_FLAG_W - Quality flag of ammonium measurement","NITRAT - Nitrat measurement","NITRAT_FLAG_W - Quality flag of Nitrat measurement","NITRIT - Nitrit measurement","NITRIT_FLAG_W - Quality flag of Nitrit","Nitrite_Nitrate - Dissolved Nitrite and Nitrate concentration","Nitrite_Nitrate - Dissolved Nitrite and Nitrate concentration; blank cells indicate no data (either not collected or poor quality)","Northing - Northing, according to universal transverse mercator for the local control.","Notes - Additional Notes","Notes - miscellaneous notes","Notes - random notes if necessary","O18-1 - Oxygen isotope ratios 18O:16O measured in parts per thousand scaled according to Vienna Standard Mean Ocean Water (_VSMOW)","O18-1 - Oxygen isotope ratios 18O:16O measured in parts per thousand scaled according to Vienna Standard Mean Ocean Water (_VSMOW); blank cells indicate no data (either not collected or poor quality)","OXYG - dissolved oxygen","OXYG2 - dissolved oxygen 2","OXYGEN - Oxygen measurement (manual)","OXYGEN_FLAG_W - Quality flag of oxygen measurement","Ocean Pressure (dB) at Sensor #1(Nominal Depth = 15.0 m) - Ocean Pressure (dB) at Sensor #1(Nominal Depth = 15.0 m)","Ocean Pressure (dB) at Sensor #1(Nominal Depth = 20.0 m) - Ocean Pressure (dB) at Sensor #1(Nominal Depth = 20.0 m)","Ocean Pressure (dB) at Sensor #1(Nominal Depth = 25.0 m) - Ocean Pressure (dB) at Sensor #1(Nominal Depth = 25.0 m)","Ocean Pressure (dB) at Sensor #2(Nominal Depth = 30.0 m) - Ocean Pressure (dB) at Sensor #2(Nominal Depth = 30.0 m)","Ocean Pressure (dB) at Sensor #2(Nominal Depth = 40.0 m) - Ocean Pressure (dB) at Sensor #2(Nominal Depth = 40.0 m)","Ocean Pressure (dB) at Sensor #3(Nominal Depth = 60.0 m) - Ocean Pressure (dB) at Sensor #3(Nominal Depth = 60.0 m)","Original.Filename - filename of data","Original_Filename - filename of data","OxCur - oxygen current","OxCur2 - secondary oxygen current measurement","Oxygen - Oxygen concentration (CTD sensor)","Oxygen - Water oxygen in milliliters per liter","Oxygen_raw_SBE43 - Oxygen concentration (CTD sensor) in raw","PAR - PAR Irradiance, Biospherical","PAR - Photosynthetically Active Radiation incoming from the atmosphere, measured at ~ 3 m height on the meteorological station, reported in microEinsteins.","PAR - irradiance","PE_Ek - Ek (light adaptation parameter from PE curves)","PE_Ek_FLAG_W - Quality flag of Ek","PE_Pmax - Maximum photosynthetic rate (from P-E curves)","PE_Pmax_FLAG_W - Quality flag of maximum photosynthetic rate","PE_alpha - Alpha (photosynthetic efficiency from P-E curves)","PE_alpha_FLAG_W - Quality flag of Alpha","PE_beta - Beta (photosynthetic parameter from PE curves)","PE_beta_FLAG_W - Quality flag of Beta","PE_pval - P value of the fit of the P-E curve","PE_pval_FLAG_W - Quality flag of P value","PE_rsqr - Respiration (from P-E curves)","PE_rsqr_FLAG_W - Quality flag of respiration","PHSPHT - Phosphate measurement","PHSPHT_FLAG_W - Quality flag of phosphate measurement","PI - principal investigator","PI - private investigator name","POC - Particulate Organic Carbon measurement","POC_FLAG_W - Quality flag of Particulate Organic Carbon measurement","PON - Particulate Organic Nitrogen measurement","PON_FLAG_W - Quality flag of Particulate Organic Nitrogen measurement","PPHYTIN - Phaeophytin measurement","PPHYTIN_FLAG_W - Quality flag of phaeophytin measurement","Pheophytin - Pheophytin measurements at Clark University based upon frozen filters","Pheophytin - Pheophytin measurements at Clark University based upon frozen filters; blank cells indicate no data (either not collected or poor quality)","Phosphate - Dissolved phosphate concentration","Phosphate - Dissolved phosphate concentration; blank cells indicate no data (either not collected or poor quality)","Point ID - This is a list of the specific geographical locations of the wells, as made at the ground surface adjacent to each well, provided in a few different ways.","Potential temperature - Water temperature in degree Celsius with pressure effects removed and referenced to zero pressure (potential temperature).","Pres - binned pressure","Pressure - Water pressure in decibar either measured or estimated.","Pressure - Water pressure measured in decibar","Pressure at Salinity Sensor (db) - Pressure at Salinity Sensor (db)","Pressure_digiquartz - Pressure (CTD sensor)","Project - project name","RH_percentage - Relative Humidity, measured in percent.","Raw_Pres_dbar - Pressure measured by CTD (conductivity, temperature and depth) device","Region - name of sampling region","Region - studied region","Rosette_Bottle_No - Rosette bottle number","SALT - Salinity measurement (manual)","SALT_FLAG_W - Quality flag of salinity measurement","SAMPNO - Sample number","SECT_ID - Section name","SILCAT - Silicate measurement","SILCAT_FLAG_W - Quality flag of Silicate","SPAR - surface irradiance, percentage","SPM_mg_L - Suspended particulate material","SPM_mg_L - Suspended particulate material; blank cells indicate no data (either not collected or poor quality)","STATION_SHORT - Station number","STNNBR - Station and cast number","Sal(1) - calibrated primary salinity","Sal(2) - calibrated secondary salinity","Salinity (ppt) - Salinity (ppt)","Salinity - Water salinity estimated from temperature, conductivity, and pressure given in practical salinity units (psu)","Salinity - Water salinity in Practical Salinity Units (psu) estimated from temperature, conductivity, and pressure","Salinity - Water salinity in Practical Salinity Units (psu) estimated from water temperature, conductivity, and pressure.","Salinity_Practical - Salinity (calculated from conductivity)","Salinity_Practical2 - Salinity (calculated from conductivity, 2nd sensor)","Salt_for_calc_sample_water_density - Salinity for calculating sample water density (use salt sample, but if bad or missing use CTD)","Sample_No - Sample number","Scan_count - number of data points averaged from this depth","Sea Level Pressure (mBar) - Sea Level Pressure (mBar)","Sect_ID - Name of section sampled","Sig_mean - Sigma (PAM)","Sig_mean_FLAG_W - Quality flag of Sigma","Sig_mean_error - Mean error of Sigma","Sig_mean_error_FLAG_W - Quality flag of Sigma mean error","Sig_prop_error - Propagated error of Sigma","Sig_prop_error_FLAG_W - Quality flag of Sigma propagated error","Silicate - Dissolved silica concentration","Silicate - Dissolved silica concentration; blank cells indicate no data (either not collected or poor quality)","Sound_velocity - Sound velocity","Spar - surface PAR/irradiance and Biospherical/Licor","Station - Distributed Biological Observatory (DBO) station code","Station - Station number and cast","Station.Name - station name","StationName - Name of station where data has been collected historically under a different name at the current DBO location","Station_Name - station name","Station_Short - Short station name","Submergence Percent - Percent of the time over the previous hour that the buoy was submerged.","T90(1) - calibrated primary temperature in celsius","T90(2) - calibrated secondary temperature in celsius","TA - Total Alkalinity","TA_FLAG_W - Quality flag of Alkalinity","TIME - Time that sample is taken at","Tau_mean - Tau (PAM)","Tau_mean_FLAG_W - Quality flag of Tau","Tau_mean_error - Mean error of Tau","Tau_mean_error_FLAG_W - Quality flag of Tau mean error","Tau_prop_error - Propagated error of Tau","Tau_prop_error_FLAG_W - Quality flag of Tau propagated error","Temperature - Temperature (CTD sensor)","Temperature - Water temperature in degree Celsius.","Temperature - Water temperature in degrees Celsius","Temperature - water temperature in degree Celsius","Temperature at Salinity Sensor (C) - Temperature at Salinity Sensor (C)","Temperature at nominal depth 0.0 (m) - Temperature at nominal depth 0.0 (m)","Temperature at nominal depth 10.0 (m) - Temperature at nominal depth 10.0 (m)","Temperature at nominal depth 12.5 (m) - Temperature at nominal depth 12.5 (m)","Temperature at nominal depth 15.0 (m) - Temperature at nominal depth 15.0 (m)","Temperature at nominal depth 17.5 (m) - Temperature at nominal depth 17.5 (m)","Temperature at nominal depth 2.5 (m) - Temperature at nominal depth 2.5 (m)","Temperature at nominal depth 20.0 (m) - Temperature at nominal depth 20.0 (m)","Temperature at nominal depth 25.0 (m) - Temperature at nominal depth 25.0 (m)","Temperature at nominal depth 30.0 (m) - Temperature at nominal depth 30.0 (m)","Temperature at nominal depth 35.0 (m) - Temperature at nominal depth 35.0 (m)","Temperature at nominal depth 40.0 (m) - Temperature at nominal depth 40.0 (m)","Temperature at nominal depth 45.0 (m) - Temperature at nominal depth 45.0 (m)","Temperature at nominal depth 5.0 (m) - Temperature at nominal depth 5.0 (m)","Temperature at nominal depth 50.0 (m) - Temperature at nominal depth 50.0 (m)","Temperature at nominal depth 55.0 (m) - Temperature at nominal depth 55.0 (m)","Temperature at nominal depth 60.0 (m) - Temperature at nominal depth 60.0 (m)","Temperature at nominal depth 7.5 (m) - Temperature at nominal depth 7.5 (m)","Temperature2 - Temperature (CTD sensor, 2nd)","Trans - beam transmission, percent","Trip - Rosette movement at time of sampling","Turbidity - cloudiness or haziness of a fluid","Type - Data type","UTC.DateTime - coordinated universal time","UTC_DateTime - coordinated universal time at sampling","Vertical_Precision - An estimate of the precision of the measurement made.","Vessel - vessel name","Vessel - vessel on which collection occurred","Water_Depth - Station water depth measured in meters","XMISS - Beam transmission","absolute_pressure - Absolute Pressure is measured below the water surface in kilopascals","absolute_pressure_barometric - Absolute Pressure is measured below the water surface in kilopascals, measured a second time with a barometer","altM - altimeter","bat - Beam Attenuation, Chelsea/Seatech/WET Labs Cstar","battery - Battery voltage of the MiniDOT sensor (runs on a set of AA batteries).","beg_scan_num - beginning scan number","c0S/m - The conductivity of the observation","c0S/m - conductivity, the degree to which a specified material conducts electricity","c0mS/cm - conductivity, the degree to which a specified material conducts electricity","c1mS/cm - conductivity 2, the degree to which a specified material conducts electricity","chla - Chlorophyll a concentration, based upon at sea measurements, Welschmeyer method and Turner Designs fluorometer","chla - Chlorophyll a concentration, based upon at sea measurements, Welschmeyer method and Turner Designs fluorometer; blank cells indicate no data (either not collected or poor quality)","d15N - Delta 15 Nitrogen measurement","d15N_FLAG_W - Quality flag of Delta 15 Nitrogen","d15N_STDEV - Standard deviation of Delta 15 Nitrogen","d15N_STDEV_FLAG_W - Quality flag of Delta 15 Nitrogen standard deviation","d18O - Delta 18 Oxygen measurement","d18O - Oxygen 18 isotope ratio in delta notation relative to Vienna Standard Mean Ocean Water in units of permil.","d18O_FLAG_W - Quality flag of Delta 18 Oxygen measurement","d18O_STDEV - Standard deviation of Delta 18 Oxygen","d18O_STDEV_FLAG_W - Quality flag of Delta 18 Oxygen standard deviation","dD - Deuterium isotope ratio in delta notation relative to Vienna Standard Mean Ocean Water in units of permil.","date - Date and Time stamp (local date and time) for each observation.","date - Date and time of measurement when it was made (should be a 30 minute interval). All are in UTC.","date - Date and time of measurements","date - date and time of sampling","day - The day of the month of the data record","density00 - The density of the observation","depSM - Depth in salt water","depSM - Depth salt water, m","depSM - depth","dissolved_oxygen - Dissolved oxygen concentration as measured in the surface water.","dissolved_oxygen_saturation - Surface water dissolved oxygen saturation, as calculated for the elevation and temperature observed. Units are percent, where values >100% represent supersaturation of dissolved oxygen, which is not uncommon in streams.","dovdt - Estimate of sensor output change over time","dovdt2 - Estimate of sensor output change over time","end_scan_num - ending scan number","firing_number - firing number of sensor","firing_position - firing position of sensor","flECO-AFL - WetLabs ECO fluorescence","flSP - Seapoint fluorometer fluorescence (relative units)","flag - The flag of the observation. (0).","flag - flag","flc - fluorescence","gust_speed - The highest wind speed measured over the past measurement period (e.g., 30 min), reported in meters per second.","horizontal_precision - An estimate of the precision of the horizontal measurement made.","hour (GMT) - The hour of the data record (GMT). Ranges from 0 to 23.","latitude - Latitude, decimal degrees","longitude - Longitude, decimal degrees","month - The month of the data record","nbf - Bottles Fired","nbin - number of scans per bin","nscans - number of CTD scans used in pressure bin-averaging","obs3+ - The turbidity of the observation","obs3+1 - The turbidity of the observation","oxsolMm/kg - Oxygen saturation, calculated from Garcia and Gordon, micro moles/kg","par - PAR/Irradiance, Biospherical/Licor","par - photosynthetically active radiation, irradiance, biospherical/licor","potemp090C - The potential temperature of the observation","prDM - Pressure, digiquartz, db","prDM - pressure in digiquartz","prdM - Pressure, Strain Gauge [db]","prdM - The pressure of the observation","prdM - pressure, strain gauge","pressure - Absolute Air Pressure or Barometric Pressure measured as millibars.","rain - Rainfall measured in the past 30 min in units of millimeters.","sal00 - Salinity, Practical [PSU]","sal00 - Salinity, practical (PSU)","sal00 - The salinity of the observation","sal00 - practical salinity, the concentration of dissolved salts in water etc.","sal00 - salinity, the concentration of dissolved salts in water","sal11 - Salinity, practical (PSU)","sal11 - salinity 2, the concentration of dissolved salts in water","sbeox0ML/L - recorded oxygen from SBE 43 instrument","sbeox0Mm/kg - Oxygen concentration from SBE43 probe, in micromoles/kg","sbeox0V - SBE43 raw oxygen sensor voltage","scan - scan count","sigma-t00 - Density [sigma-t, Kg/m^3 ]","sigma-t00 - Sigma theta density","sigma-theta - Density","solar_radiation - Solar Radiation is the shortwave radiation from the atmosphere measured at the meteorological station, units reported in Watts per square meter.","svCM - Sound Velocity","svCM - sound velocity in Chen-Millero m/s","t090C - Temperature, ITS-90, deg C","t090C - temperature in celsius","t190C - Temperature, ITS-90, deg C","t190C - temperature 2 in celsius","temperature - Air temperature in degrees Celsius.","temperature - Temperature measured in the well","temperature - Water temperature as measured by the MiniDOT data logger in the surface channel.","temperature_DewPt - Dew Point Temperature estimated based on the current air temperature and the relative humidity, reported as degrees Celsius.","timeJ - julian days","timeS - time elapsed","transect - Transect identification name","tv290C - Temperature [ITS-90, deg C]","tv290C - temperature in celsius, ITS-90","tv290c - The temperature of the observation, in ITS-90.","upoly0 - Upoly 0, turner cyclops fluoremeter","v0 - voltage 0","v1 - voltage 1","v2 - voltage 2","v3 - voltage 3","v4 - voltage 4","v5 - voltage 5","v6 - voltage 6","vertical_precision - An estimate of the precision of the vertical measurement made.","well - Well identification name","wetCDOM - WetLabs CDOM fluorescence","wetStar - Fluorescence, WET Labs WETstar [mg/m^3]","wind_direction - Wind direction reported from 0-360 degrees, with 0 degrees being roughly due north.","wind_speed - Wind speed averaged over the past period of measurement (e.g., 30 minutes) reported in meters per second.","wocecode - World Ocean Circulation Experiment quality word for each variable","xmiss - Beam Transmission percentage, Chelsea/Seatech/WET Labs CStar","year - The year of the data record","BAROMETERS > BAROMETERS","CTD > Conductivity, Temperature, Depth","DRIFTING BUOYS > DRIFTING BUOYS","FLUOROMETERS > FLUOROMETERS","HUMIDITY SENSORS > HUMIDITY SENSORS","OXYGEN METERS > OXYGEN METERS","PAR SENSORS > Photosynthetically Active Radiation Sensors","PRESSURE SENSORS > PRESSURE SENSORS","TEMPERATURE SENSORS > TEMPERATURE SENSORS","TRANSMISSOMETERS","BUOYS","LABORATORY > LABORATORY","Ships","HEALY (call sign: NEPP, ICES code: 33HQ, 1999-)","HEALY (call sign: NJUE, ICES code: 32H1, 1943-1958)","Sikuliaq (call sign: WDN7246, ICES code: 33BI, 2013-)","UKPIK","OCEAN > ARCTIC OCEAN","OCEAN > ARCTIC OCEAN > BEAUFORT SEA","OCEAN > ARCTIC OCEAN > CHUKCHI SEA","OCEAN > ATLANTIC OCEAN > NORTH ATLANTIC OCEAN > NORWEGIAN SEA","OCEAN > PACIFIC OCEAN > NORTH PACIFIC OCEAN > BERING SEA","ARCTIC OCEAN","ARCTIC OCEAN, ARCTIC OCEAN > CHUKCHI SEA, ARCTIC OCEAN > BEAUFORT SEA,","Bering Strait and Southern Chukchi Sea","Chukchi Sea and Western Beaufort Sea","Chukchi Sea, Arctic","DBO 1 - South of St. Lawrence Island, Bering Sea","DBO 2 - Chirikov Basin, Northern Bering Sea","DBO 3 - Southern Chukchi Sea","DBO 4 - Northeast Chukchi Sea","DBO 5 - Barrow Canyon, Chukchi Sea","DBO 6 - Beaufort Sea - 152 W","Ice shelf of Petermann Gletscher, North Greenland","Kongsfjorden, Svalbard, proximal to Kongsvegen and Kronebreen glaciers.","Kuparuk River Aufeis, Alaska","No geographic description provided.","Petermann Fjord, North Greenland","Petermann Gletscher, North Greenland","SWL2017 cruise extent","Summit Station Greenland. Tower was located south east of the main camp at the edge of undisturbed snow."],"last_harvested_date":"2026-08-28T00:05:00.357892","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"5f4f1195-e770-4a2a-8f75-195cd98860ce","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/noaa.png","name":"National Oceanic and Atmospheric Administration, Department of Commerce","organization_type":"Federal Government","slug":"noaa"},"parent_identifier":null,"popularity":3,"publisher":"NOAA National Centers for Environmental Information","slug":"datasets-managed-by-the-nsf-arctic-data-center-and-archived-at-the-noaa-national-centers-f","spatial_centroid":{"lat":72.0,"lon":22.40160000000001},"spatial_shape":{"coordinates":[[[157.336,60.0],[157.336,90.0],[-180.0,90.0],[-180.0,60.0],[157.336,60.0]]],"type":"Polygon"},"theme":["geospatial"],"title":"Datasets managed by the NSF Arctic Data Center and archived at the NOAA National Centers for Environmental Information","type":"dataset"},{"_score":6.9283886,"_sort":[1787875488334,6.9283886,3,"21ffa8c5-901e-4986-a15d-7ff91004f629"],"dcat":{"@type":"dcat:Dataset","accessLevel":"non-public","contactPoint":{"@type":"vcard:Contact","fn":"NOAA National Centers for Environmental Information","hasEmail":"mailto:ncei.info@noaa.gov"},"describedByType":"application/octet-steam","description":"The US National Oceanographic Data Center (NODC) produced twelve (12) CD-ROMs containing World Ocean Circulation Experiment (WOCE) Version 1 project data in the summer of 1998. NODC produced fifteen (15) CD-ROMs containing WOCE Version 2 project data in the fall of 2000. The WOCE Global Data Version 3.0 suite consists of two (2) DVDs.\n\nThe WOCE Global Data Version 3.0 DVD suite consists of 2 single-sided and double-layered DVDs. A Web browser is required to fully explore and access the DVD contents. Data on these disks cover most of the global ocean and are from the period of 1990 to 1998, the intensive observation phase of WOCE. Some data from before and after this period are also included. The 2 DVDs were archived in NCEI Accession 0000841.\n\nThe WOCE GDR data streams were: Bathymetry, Current Meters, Drifters, Hydrography, In-Situ Sea Level-Fast Delivery, In-Situ Seal Level-Delayed Mode, Profiling Floats, Satellite Sea Surface Height, Satellite Sea Surface Temperature, Satellite Surface Winds, Sea Surface Salinity, Shipboard Acoustic Doppler Current Profilers, Subsurface Floats, Surface Meteorology, and Upper Ocean Thermal.\n\nPresentations given during the WOCE and Beyond Conference are archived with this DVD product, but are not part of the two DVD set.\n\nNODC produced fifteen (15) CD-ROMs containing WOCE project data in the fall of 2000. This is version 2.0 of WOCE project data. Each CD was assigned an accession number for inventory purposes:\n\n  Data Information Unit & Bathymetry             - NCEI Accession 0000306   Disk 1\n  Hydrographic Programme                         - NCEI Accession 0000307   Disk 2\n  Upper Ocean Thermal                            - NCEI Accession 0000308   Disk 3\n  Subsurface Floats                              - NCEI Accession 0000309   Disk 4\n  Surface Velocity Programme                     - NCEI Accession 0000310   Disk 5\n  Current Meter Moorings                         - NCEI Accession 0000311   Disk 6\n  Acoustic Doppler Current Profilers             - NCEI Accession 0000312   Disk 7\n  Sea Level                                      - NCEI Accession 0000313   Disk 8\n  Surface Meteorology                            - NCEI Accession 0000314   Disk 9\n  Surface Fluxes                                 - NCEI Accession 0000315   Disk 10\n  Satellite Data - Sea Surface Height            - NCEI Accession 0000316   Disk 11\n  Satellite Data - Sea Surface Temperature       - NCEI Accession 0000317   Disk 12\n  Satellite Data - Wind Data                     - NCEI Accession 0000318   Disk 13\n  eWOCE: Electronic Atlas of WOCE Data           - NCEI Accession 0000319   Disk 14\n  Hydrographic Programme  - BATS/HOTS Timeseries - NCEI Accession 0000320   Disk 15\n\nNODC produced twelve (12) CD-ROMs containing WOCE Version 1 project data in the summer of 1998. Each CD was assigned an accession number for inventory purposes.\n\n  WOCE CD Data Information Unit & Bathymetry - NCEI Accession 9800097\n  WOCE CD Hydrography                        - NCEI Accession 9900198\n  WOCE CD Hydrographic Products              - NCEI Accession 9800099\n  WOCE CD XBTs                               - NCEI Accession 9800100\n  WOCE CD Subsurface Floats                  - NCEI Accession 9800101\n  WOCE CD Drifting Buoys                     - NCEI Accession 9800102\n  WOCE CD Current Meters                     - NCEI Accession 9800103\n  WOCE CD ADCP                               - NCEI Accession 9800104\n  WOCE CD Sea Level                          - NCEI Accession 9800105\n  WOCE CD Surface Meteorology                - NCEI Accession 9800106\n  WOCE CD Surface Fluxes                     - NCEI Accession 9800107\n  WOCE CD Satellite Altimetry & Temperature  - NCEI Accession 9800108\n\nWOCE was a part of the World Climate Research Programme (WCRP) which used resources from nearly 30 countries to make unprecedented in-situ and satellite observations of the global ocean between 1990-1998, and to observe poorly-understood but important physical processes. The Scientific Steering Group (SSG) of WOCE oversaw the scientific development and the International Project Office (IPO) managed the implementation of the Experiment.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://www.ncei.noaa.gov/archive/accession/NODC-WOCE-GDR","describedByType":"application/octet-stream","description":"Navigate directly to the URL for a descriptive web page with download links.","mediaType":"text/html","title":"NCEI Dataset Landing Page"},{"@type":"dcat:Distribution","accessURL":"https://www.ncei.noaa.gov/metadata/granule/geoportal/?from=0&size=10&esdsl=%7B%22query%22%3A%7B%22bool%22%3A%7B%22must%22%3A%5B%7B%22query_string%22%3A%7B%22analyze_wildcard%22%3Atrue%2C%22query%22%3A%22fileid%3ANODC-WOCE-GDR.*%22%7D%7D%5D%7D%7D%7D#searchPanel","describedByType":"application/octet-stream","description":"Search for data granules belonging to this collection (a granule is the smallest aggregation of data that can be independently described and retrieved).","mediaType":"text/html","title":"Granule Search"},{"@type":"dcat:Distribution","accessURL":"https://www.ncei.noaa.gov/products/world-ocean-circulation-experiment","describedByType":"application/octet-stream","description":"Project website","mediaType":"text/html","title":"https://www.ncei.noaa.gov/products/world-ocean-circulation-experiment"},{"@type":"dcat:Distribution","accessURL":"https://discover.library.noaa.gov/permalink/01NOAA_INST/1qbesct/alma991000465029707381","describedByType":"application/octet-stream","description":"NOAA Central Library: 2 DVDs; col. maps; 12 cm. +; 1 user's manual (24 p.; 12 cm.)","mediaType":"text/html","title":"WOCE Global Data version 3.0 DVDs"},{"@type":"dcat:Distribution","accessURL":"https://forum.earthdata.nasa.gov/app.php/tag/GCMD%2BKeywords","describedByType":"application/octet-stream","description":"Global Change Master Directory (GCMD). 2025. GCMD Keywords, Version 21. Greenbelt, MD: Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA). 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NODC produced fifteen (15) CD-ROMs containing WOCE Version 2 project data in the fall of 2000. The WOCE Global Data Version 3.0 suite consists of two (2) DVDs.\n\nThe WOCE Global Data Version 3.0 DVD suite consists of 2 single-sided and double-layered DVDs. A Web browser is required to fully explore and access the DVD contents. Data on these disks cover most of the global ocean and are from the period of 1990 to 1998, the intensive observation phase of WOCE. Some data from before and after this period are also included. The 2 DVDs were archived in NCEI Accession 0000841.\n\nThe WOCE GDR data streams were: Bathymetry, Current Meters, Drifters, Hydrography, In-Situ Sea Level-Fast Delivery, In-Situ Seal Level-Delayed Mode, Profiling Floats, Satellite Sea Surface Height, Satellite Sea Surface Temperature, Satellite Surface Winds, Sea Surface Salinity, Shipboard Acoustic Doppler Current Profilers, Subsurface Floats, Surface Meteorology, and Upper Ocean Thermal.\n\nPresentations given during the WOCE and Beyond Conference are archived with this DVD product, but are not part of the two DVD set.\n\nNODC produced fifteen (15) CD-ROMs containing WOCE project data in the fall of 2000. This is version 2.0 of WOCE project data. Each CD was assigned an accession number for inventory purposes:\n\n  Data Information Unit & Bathymetry             - NCEI Accession 0000306   Disk 1\n  Hydrographic Programme                         - NCEI Accession 0000307   Disk 2\n  Upper Ocean Thermal                            - NCEI Accession 0000308   Disk 3\n  Subsurface Floats                              - NCEI Accession 0000309   Disk 4\n  Surface Velocity Programme                     - NCEI Accession 0000310   Disk 5\n  Current Meter Moorings                         - NCEI Accession 0000311   Disk 6\n  Acoustic Doppler Current Profilers             - NCEI Accession 0000312   Disk 7\n  Sea Level                                      - NCEI Accession 0000313   Disk 8\n  Surface Meteorology                            - NCEI Accession 0000314   Disk 9\n  Surface Fluxes                                 - NCEI Accession 0000315   Disk 10\n  Satellite Data - Sea Surface Height            - NCEI Accession 0000316   Disk 11\n  Satellite Data - Sea Surface Temperature       - NCEI Accession 0000317   Disk 12\n  Satellite Data - Wind Data                     - NCEI Accession 0000318   Disk 13\n  eWOCE: Electronic Atlas of WOCE Data           - NCEI Accession 0000319   Disk 14\n  Hydrographic Programme  - BATS/HOTS Timeseries - NCEI Accession 0000320   Disk 15\n\nNODC produced twelve (12) CD-ROMs containing WOCE Version 1 project data in the summer of 1998. Each CD was assigned an accession number for inventory purposes.\n\n  WOCE CD Data Information Unit & Bathymetry - NCEI Accession 9800097\n  WOCE CD Hydrography                        - NCEI Accession 9900198\n  WOCE CD Hydrographic Products              - NCEI Accession 9800099\n  WOCE CD XBTs                               - NCEI Accession 9800100\n  WOCE CD Subsurface Floats                  - NCEI Accession 9800101\n  WOCE CD Drifting Buoys                     - NCEI Accession 9800102\n  WOCE CD Current Meters                     - NCEI Accession 9800103\n  WOCE CD ADCP                               - NCEI Accession 9800104\n  WOCE CD Sea Level                          - NCEI Accession 9800105\n  WOCE CD Surface Meteorology                - NCEI Accession 9800106\n  WOCE CD Surface Fluxes                     - NCEI Accession 9800107\n  WOCE CD Satellite Altimetry & Temperature  - NCEI Accession 9800108\n\nWOCE was a part of the World Climate Research Programme (WCRP) which used resources from nearly 30 countries to make unprecedented in-situ and satellite observations of the global ocean between 1990-1998, and to observe poorly-understood but important physical processes. The Scientific Steering Group (SSG) of WOCE oversaw the scientific development and the International Project Office (IPO) managed the implementation of the Experiment.","distribution_titles":["NCEI Dataset Landing Page","Granule Search","https://www.ncei.noaa.gov/products/world-ocean-circulation-experiment","WOCE Global Data version 3.0 DVDs","GCMD Keyword Forum Page","NCEI Contact Information","NOAA Library website"],"harvest_record":"https://catalog.data.gov/harvest_record/6f126d1f-18de-43cc-a10e-a6739c8e50ee","harvest_record_raw":"https://catalog.data.gov/harvest_record/6f126d1f-18de-43cc-a10e-a6739c8e50ee/raw","harvest_record_transformed":"https://catalog.data.gov/harvest_record/6f126d1f-18de-43cc-a10e-a6739c8e50ee/transformed","has_download":false,"has_spatial":true,"identifier":"https://data.noaa.gov/waf/NOAA/NESDIS/ncei/accessions/iso/xml/NODC-WOCE-GDR.xml","keyword":["0000306","0000307","0000308","0000309","0000310","0000311","0000312","0000313","0000314","0000315","0000316","0000317","0000318","0000319","0000320","0000841","9800097","9800099","9800100","9800101","9800102","9800103","9800104","9800105","9800106","9800107","9800108","9900198","ABSOLUTE HUMIDITY","ABSORPTION - SCATTERING - ATTENUATION COEFFICIENTS","AIR TEMPERATURE","AIR TEMPERATURE - WET BULB","ALTIMETRY - SEA SURFACE HEIGHT","AMMONIA (NH3)","ARGON","BAROMETRIC PRESSURE","BATHYMETRY","CARBON - TOTAL ORGANIC","Carbon tetrachloride (CCL4)","CHLOROFLUOROCARBON-11 (CFC-11)","CHLOROFLUOROCARBON-113 (CFC-113)","CHLOROFLUOROCARBON-12 (CFC-12)","CHLOROPHYLL A","CONDUCTIVITY","CURRENT DIRECTION","CURRENT METER - DIRECTION","CURRENT METER - EAST-WEST COMPONENT (U)","CURRENT METER - NORTH-SOUTH COMPONENT (V)","CURRENT METER - SPEED","CURRENT SPEED","CURRENT SPEED - EAST/WEST COMPONENT (U)","CURRENT SPEED - NORTH/SOUTH COMPONENT (V)","CURRENT SPEED - UP/DOWN COMPONENT (W)","DELTA CARBON-13","DELTA CARBON-14","Delta Oxygen-18","DEPTH - BOTTOM","DEPTH - OBSERVATION","DEPTH - SENSOR","dew point","DISSOLVED ORGANIC CARBON","DISSOLVED OXYGEN","FLUX - HEAT","HELIUM","HYDROCARBONS - TOTAL RESOLVED","HYDROSTATIC PRESSURE","LONGWAVE RADIATION - REFLECTED","NEON","NITRATE","nitrate + nitrite content (concentration)","NITRITE","NUTRIENTS","OPTICAL","OXYGEN","partial pressure of carbon dioxide - water","pH","PHAEOPIGMENTS","phosphate","POLYCHLORINATED BIPHENYLS","POSITION - GEOGRAPHIC","PRECIPITATION","RELATIVE HUMIDITY","SALINITY","SEA HEIGHT","SEA LEVEL","SEA LEVEL - DAILY AVERAGE","SEA LEVEL - HOURLY AVERAGE","SEA LEVEL - MEAN","SEA LEVEL - MONTHLY AVERAGE","SEA PERIOD","SEA STATE","SEA SURFACE TEMPERATURE","SEA SURFACE TOPOGRAPHY","SHORTWAVE RADIATION - REFLECTED","silicate","SOLAR RADIATION - ATMOSPHERIC","SOUND VELOCITY","suspended solids","TIDE HEIGHT","TIDE STAGE","total alkalinity","TOTAL CARBON","TOTAL PHOSPHORUS","Tritium (Hydrogen isotope)","turbidity","WATER DENSITY","water depth","WATER TEMPERATURE","WAVE HEIGHT","WAVE PERIOD","WAVE SPECTRA","WIND DIRECTION","WIND SPEED","ADCP","AVHRR","bathythermograph - XBT","bottle","buoy","buoy - drifting buoy","CTD","current meter","current meter - PCM","echo sounder","meteorological sensor","mooring","profiling float","satellite sensor - active microwave","satellite sensor - general","sonar","thermosalinograph","tide gauge","chemical","continuous","current measurements","current measurements - surface currents","derived products","geological","meteorological","physical","profile","satellite data","satellite photography","survey","time series","underway","AURORA AUSTRALIS","COLUMBUS ISELIN","CROMWELL","DISCOVERY","drifting buoy","EDWIN LINK","ENDEAVOR","FIRST JUPITER","FIXED PLATFORM OF UNITED STATES","GYRE","J. 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ICES code: 33EL, 1987-2001)","ENDEAVOR (call sign: WAUW, ICES code: 33EN)","FIRST JUPITER (call sign: 3FXG6, ICES code: PAFJ)","Franklin (call sign: VJJF, ICES code: 09FA, 1985-2002)","GYRE (ICES code: 32GY)","J. 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B. KELEZ (ICES code: 31KE)","G. W. PIERCE (ICES code: 31PP)","GILLISS (ICES code: 31GI)","GOSNOLD (ICES code: 31GO)","H. J. W. FAY (ICES code: 31FY)","JOHNSON (ICES code: 32JO)","MAKO (ICES code: 32QM)","MICMAC (ICES code: 317J)","MT. MITCHELL (call sign: WTEG, ICES code: 31M7, 1968-1995)","OREGON II (call sign: WTDO, ICES code: 316O, 1977-)","ROBERT D. CONRAD (call sign: WHBA, ICES code: 31RD, 1962-1989)","RORQUAL (ICES code: 31RR)","Researcher (call sign: WTER, ICES code: 3175, 1970-1987)","SUB SIG II (ICES code: 32G8)","VALIANT (ICES code: 31VB)","VENTURE (ICES code: 312X)","XIPHIAS (ICES code: 32XI)","OCEAN > ATLANTIC OCEAN > NORTH ATLANTIC OCEAN","OCEAN > PACIFIC OCEAN > NORTH PACIFIC OCEAN"],"landingPage":"https://www.ncei.noaa.gov/contact","language":[],"license":"https://creativecommons.org/publicdomain/zero/1.0/","modified":"2026-01-03T00:00:00.000+00:00","publisher":{"@type":"org:Organization","name":"NOAA National Centers for Environmental Information"},"references":["https://repository.library.noaa.gov/gsearch?terms=New+York+Bight+Project&collection=","https://www.ncei.noaa.gov/access/metadata/landing-page/bin/iso?id=gov.noaa.ngdc.mgg.geology:G02889","https://www.ncei.noaa.gov/archive/accession/0189890"],"rights":"otherRestrictions","spatial":"-71.97,39.37,-74.08,40.75","temporal":"1957-06-19T00:00:00+00:00/1984-04-24T00:00:00+00:00","theme":["geospatial"],"title":"Physical, chemical and biological data from the NOAA Marine EcoSystems Analysis Program (MESA) New York Bight project from 1957 through 1984"},"description":"This collection consists of physical, chemical, meteorological, and biological data collected for the NOAA Marine EcoSystems Analysis Program (MESA) New York Bight project, between 1973 and 1984. Additional data collected as early as 1957 may have also been used in support of the project. These data were collected in and around the New York Bight located along the coasts of New Jersey and New York, from numerous platforms including ships, boats, aircraft, fixed stations and buoys, as well as by direct human observation and collection. 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Seawater samples are collected in four-hour intervals for laboratory analyses of dissolved inorganic carbon (DIC) and total alkalinity (TA).\n\nComponents of the carbonate system--including pH, pCO2 (partial pressure of carbon dioxide), and aragonite saturation state--are calculated from DIC, TA, temperature, salinity and pressure. 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