Timeline / Data.gov — Climate Datasets
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A new raw object was archived. Both versions are preserved. 692 line(s) added, 692 line(s) removed.
Evidence
| Source | Data.gov — Climate Datasets |
|---|---|
| Agency | Data.gov |
| URL | https://api.gsa.gov/technology/datagov/v4/search?q=climate&sort=last_harvested_date&per_page=100&api_key=${DATAGOV_API_KEY} |
| Observed by | Civic Memory, directly, on 2026-09-17T06:20:50+00:00 |
| Content type | application/json |
| Current object |
d44c198b3bae4e1603df0197c42bc4c56e05afa295d4c6cdd7707e0e37304417
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metadata
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| Previous object |
7126cbc55a16a6170b1eda34cbbacdcb7b9c41e94993fc862ff05c00a83c9c5d
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What changed derived
This diff is not evidence. It was produced by
civic-memory.diff_engine 1.1.0 at
2026-09-17T06:20:50+00:00 by normalizing the two archived objects above. The
objects are authoritative; this reading of them can be regenerated or deleted
without loss. 692 line(s) added, 692 line(s) removed.
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HLR groups watersheds on the basis of similarities \nin land-surface form, geologic texture, and climate characteristics.\n\t\t\nThe NHDPlus Version 1.1 is an integrated suite of application-ready geospatial datasets that incorporates \nmany of the best features of the National Hydrography Dataset (NHD) and the National Elevation Dataset \n(NED). The NHDPlus includes a stream network (based on the 1:100,00-scale NHD), improved networking, \nnaming, and value-added attributes (VAAs). NHDPlus also includes elevation-derived catchments \n(drainage areas) produced using a drainage enforcement technique first widely used in New England, \nand thus referred to as \"the New England Method.\" This technique involves \"burning in\" the 1:100,000-scale \nNHD and when available building \"walls\" using the National Watershed Boundary Dataset (WBD). The \nresulting modified digital elevation model (HydroDEM) is used to produce hydrologic derivatives that agree \nwith the NHD and WBD. Over the past two years, an interdisciplinary team from the U.S. Geological Survey \n(USGS), and the U.S. Environmental Protection Agency (USEPA), and contractors, found that this method \nproduces the best quality NHD catchments using an automated process (USEPA, 2007). The NHDPlus \ndataset is 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 Basins (MRBs, \nCrawford and others, 2006). MRB1, covering the New England and Mid-Atlantic River basins, contains \nNHDPlus Production Units 1 and 2. MRB2, covering the South Atlantic-Gulf and Tennessee River basins, \ncontains NHDPlus Production 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. MRB4, covering \nthe Missouri River basins, contains NHDPlus Production Units 10-lower and 10-upper. MRB5, covering \nthe Lower Mississippi, Arkansas-White-Red, and Texas-Gulf River basins, contains NHDPlus Production \nUnits 8, 11 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 basins, \ncontains NHDPlus Production Unit 17. MRB8, covering California River basins, contains NHDPlus \nProduction Unit 18.", + "distribution": [ + { + "@type": "dcat:Distribution", + "accessURL": "https://doi.org/10.5066/P9142BM0", + "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.93b2f75c-33bc-4cae-b48e-41b6f85d2e39.xml", + "format": "XML", + "mediaType": "text/xml", + "title": "Original Metadata" + } + ], + "identifier": "http://datainventory.doi.gov/id/dataset/USGS_93b2f75c-33bc-4cae-b48e-41b6f85d2e39", + "keyword": [ + "CALI", + "COGB", + "California", + "Catchment", + "Conterminous United States", + "GLMR", + "Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy", + "Hydrologic landscape regions", + "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:93b2f75c-33bc-4cae-b48e-41b6f85d2e39", + "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: Hydrologic Landscape Regions" + }, + "description": "This data set represents the area of Hydrologic Landscape Regions (HLR) compiled for every catchment \nof NHDPlus for the conterminous United States. 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The \nresulting modified digital elevation model (HydroDEM) is used to produce hydrologic derivatives that agree \nwith the NHD and WBD. Over the past two years, an interdisciplinary team from the U.S. Geological Survey \n(USGS), and the U.S. Environmental Protection Agency (USEPA), and contractors, found that this method \nproduces the best quality NHD catchments using an automated process (USEPA, 2007). The NHDPlus \ndataset is 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 Basins (MRBs, \nCrawford and others, 2006). MRB1, covering the New England and Mid-Atlantic River basins, contains \nNHDPlus Production Units 1 and 2. MRB2, covering the South Atlantic-Gulf and Tennessee River basins, \ncontains NHDPlus Production Units 3 and 6. 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The model simulations \nwere run with a modified version of SUTRA_ICE (unreleased) that accomadates \na time-variable sinusiodal upper temperature boundary. 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. 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_titles": [ + "Digital Data", + "Original Metadata" + ], + "harvest_record": "https://catalog.data.gov/harvest_record/4b875650-0e8e-4c74-8d55-9e76854fc4d2", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/4b875650-0e8e-4c74-8d55-9e76854fc4d2/raw", + "has_download": true, + "has_spatial": true, + "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" + ], + "last_harvested_date": "2026-09-17T00:39:41.640959", + "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": "modeled-temperature-data-developed-for-study-of-shallow-mountain-bedrock-limits-seepage-ba", + "spatial_centroid": { + "lat": 38.557426, + "lon": -78.3662486 + }, + "spatial_shape": { + "coordinates": [ + [ + [ + -78.378933, + 38.53969 + ], + [ + -78.378933, + 38.58403 + ], + [ + -78.347222, + 38.58403 + ], + [ + -78.347222, + 38.53969 + ], + [ + -78.378933, + 38.53969 + ] + ] + ], + "type": "Polygon" + }, + "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", + "type": "dataset" + }, + { + "_score": 24.215015, + "_sort": [ + 1789605360724, + 24.215015, + 1, + "cc1e5a35-411e-412b-ae24-a35459c2a5ee" + ], + "dcat": { + "accessLevel": "public", + "bureauCode": [ + "010:12" + ], + "contactPoint": { + "@type": "vcard:Contact", + "fn": "Fred D Tillman", + "hasEmail": "mailto:ftillman@usgs.gov" + }, + "description": "hsg_UCRB_Maurer_resolution.asc is an Esri ASCII grid representing the hydrologic soil group \n(HSG) for the Upper Colorado River Basin. The HSG for an area is determined by the least \nwater-transmitting layer in the soil column. The Natural Resources Conservation Service \n(NRCS) classifies four HSGs from Group A (high infiltration capacity and low overland flow \npotential) to Group D (low infiltration capacity and high overland flow potential). 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://doi.org/10.5066/P9CRMCYQ", + "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. (2002) Climate Data resolution (hsg_UCRB_Maurer_resolution.asc)" + }, + "description": "hsg_UCRB_Maurer_resolution.asc is an Esri ASCII grid representing the hydrologic soil group \n(HSG) for the Upper Colorado River Basin. The HSG for an area is determined by the least \nwater-transmitting layer in the soil column. The Natural Resources Conservation Service \n(NRCS) classifies four HSGs from Group A (high infiltration capacity and low overland flow \npotential) to Group D (low infiltration capacity and high overland flow potential). 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/16315e3e-0794-463b-96e0-0270748e17a6", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/16315e3e-0794-463b-96e0-0270748e17a6/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": "2026-09-17T00:36:00.724309", + "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": 31.939869, + "_sort": [ + 1789605257090, + 31.939869, + 1, + "bfcbbb22-7596-41f3-8562-e0d74b5eb014" + ], + "dcat": { + "accessLevel": "public", + "bureauCode": [ + "010:12" + ], + "contactPoint": { + "@type": "vcard:Contact", + "fn": "John A Engott", + "hasEmail": "mailto:jaengott@usgs.gov" + }, + "description": "The shapefile associated with this metadata file represents the spatial distribution of mean annual \nwater-budget components, in inches, for the Island of Oahu, Hawaii. The water-budget components \nin the shapefile were computed by a water-budget model for a scenario representative of average \nclimate conditions (1978–2007 rainfall) and 2010 land cover, as described in USGS Scientific \nInvestigations Report (SIR) 2015-5010. The model was developed for estimating groundwater \nrecharge and other water-budget components for each subarea of the model. The model subareas \nwere generated using Esri ArcGIS software by intersecting (merging) multiple spatial data sets \nthat characterize the spatial distribution of rainfall, fog interception, irrigation, reference \nevapotranspiration, direct runoff, soil type, and land cover. These spatial data sets characterize \nthe spatial distribution of hydrologic and physical conditions that the model uses to compute \ngroundwater recharge and other water-budget components.The model-subarea data set (387,533 \npolygons) was subsequently intersected with the 0-ft elevation contour of the top of the basalt \naquifer to produce the 395,955 polygons in this shapefile. This metadata file describes the process \nof merging these spatial data sets, The shapefile attribute information associated with each \npolygon present an estimate of mean annual rainfall, fog interception, irrigation, septic-system \nleachate, runoff, canopy evaporation, actual evapotranspiration, storm-drain capture, net precipitation, \ntotal evapotranspiration, recharge, and seepage from reservoirs and cesspools. This shapefile also \nincludes select geographic and land-cover attributes of the polygons. Brief descriptions of the \nwater-budget components and attributes are included in this metadata file. Refer to USGS \nSIR 2015-5010 for further details of the methods and sources used to determine these \ncomponents and attributes.", + "distribution": [ + { + "@type": "dcat:Distribution", + "accessURL": "https://doi.org/10.5066/P9GO0SU1", + "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.38975e2a-b3ce-44cd-bf4c-9c827c0e1309.xml", + "format": "XML", + "mediaType": "text/xml", + "title": "Original Metadata" + } + ], + "identifier": "http://datainventory.doi.gov/id/dataset/USGS_38975e2a-b3ce-44cd-bf4c-9c827c0e1309", + "keyword": [ + "Hawaii", + "Oahu", + "Pacific islands", + "USGS:38975e2a-b3ce-44cd-bf4c-9c827c0e1309", + "canopy evaporation", + "environment", + "evapotranspiration", + "fog interception", + "geoscientificInformation", + "groundwater recharge", + "inlandWaters", + "irrigation", + "rainfall", + "runoff", + "soil-water balance", + "storm-drain capture", + "water-budget model" + ], + "modified": "2020-11-17T00:00:00Z", + "publisher": { + "@type": "org:Organization", + "name": "U.S. Geological Survey" + }, + "spatial": "-158.282291463, 21.253656969, -157.644933809, 21.714009852", + "theme": [ + "geospatial" + ], + "title": "Mean annual water-budget components for the Island of Oahu, Hawaii, for average climate conditions, 1978-2007 rainfall and 2010 land cover (version 2.0)" + }, + "description": "The shapefile associated with this metadata file represents the spatial distribution of mean annual \nwater-budget components, in inches, for the Island of Oahu, Hawaii. The water-budget components \nin the shapefile were computed by a water-budget model for a scenario representative of average \nclimate conditions (1978–2007 rainfall) and 2010 land cover, as described in USGS Scientific \nInvestigations Report (SIR) 2015-5010. The model was developed for estimating groundwater \nrecharge and other water-budget components for each subarea of the model. The model subareas \nwere generated using Esri ArcGIS software by intersecting (merging) multiple spatial data sets \nthat characterize the spatial distribution of rainfall, fog interception, irrigation, reference \nevapotranspiration, direct runoff, soil type, and land cover. These spatial data sets characterize \nthe spatial distribution of hydrologic and physical conditions that the model uses to compute \ngroundwater recharge and other water-budget components.The model-subarea data set (387,533 \npolygons) was subsequently intersected with the 0-ft elevation contour of the top of the basalt \naquifer to produce the 395,955 polygons in this shapefile. This metadata file describes the process \nof merging these spatial data sets, The shapefile attribute information associated with each \npolygon present an estimate of mean annual rainfall, fog interception, irrigation, septic-system \nleachate, runoff, canopy evaporation, actual evapotranspiration, storm-drain capture, net precipitation, \ntotal evapotranspiration, recharge, and seepage from reservoirs and cesspools. This shapefile also \nincludes select geographic and land-cover attributes of the polygons. Brief descriptions of the \nwater-budget components and attributes are included in this metadata file. Refer to USGS \nSIR 2015-5010 for further details of the methods and sources used to determine these \ncomponents and attributes.", + "distribution_titles": [ + "Digital Data", + "Original Metadata" + ], + "harvest_record": "https://catalog.data.gov/harvest_record/e02aefa5-2e2b-4952-8e9d-adfabbb63dd9", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/e02aefa5-2e2b-4952-8e9d-adfabbb63dd9/raw", + "has_download": true, + "has_spatial": true, + "identifier": "http://datainventory.doi.gov/id/dataset/USGS_38975e2a-b3ce-44cd-bf4c-9c827c0e1309", + "keyword": [ + "Hawaii", + "Oahu", + "Pacific islands", + "USGS:38975e2a-b3ce-44cd-bf4c-9c827c0e1309", + "canopy evaporation", + "environment", + "evapotranspiration", + "fog interception", + "geoscientificInformation", + "groundwater recharge", + "inlandWaters", + "irrigation", + "rainfall", + "runoff", + "soil-water balance", + "storm-drain capture", + "water-budget model" + ], + "last_harvested_date": "2026-09-17T00:34:17.090421", + "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": "mean-annual-water-budget-components-for-the-island-of-oahu-hawaii-for-average-climate-cond", + "spatial_centroid": { + "lat": 21.4377981222, + "lon": -158.02734840140002 + }, + "spatial_shape": { + "coordinates": [ + [ + [ + -158.282291463, + 21.253656969 + ], + [ + -158.282291463, + 21.714009852 + ], + [ + -157.644933809, + 21.714009852 + ], + [ + -157.644933809, + 21.253656969 + ], + [ + -158.282291463, + 21.253656969 + ] + ] + ], + "type": "Polygon" + }, + "theme": [ + "geospatial" + ], + "title": "Mean annual water-budget components for the Island of Oahu, Hawaii, for average climate conditions, 1978-2007 rainfall and 2010 land cover (version 2.0)", + "type": "dataset" + }, + { + "_score": 14.814491, "_sort": [ 1789604988184, - 14.8177805, + 14.814491, 3, "d54f5359-a6d4-43e5-b526-b61c064d5c2b" ], @@ -166,10 +802,10 @@ "type": "dataset" }, { - "_score": 14.856542, + "_score": 14.85741, "_sort": [ 1789604493819, - 14.856542, + 14.85741, 2, "1b471c58-aa54-4375-b5df-778657a6849a" ], @@ -332,10 +968,10 @@ "type": "dataset" }, { - "_score": 14.8177805, + "_score": 14.814491, "_sort": [ 1789604431519, - 14.8177805, + 14.814491, 3, "f07c05d7-519b-48b4-a4af-6dc7795e2151" ], @@ -498,10 +1134,10 @@ "type": "dataset" }, { - "_score": 9.956633, + "_score": 9.955328, "_sort": [ 1789603740709, - 9.956633, + 9.955328, 1, "87e0ce3b-8413-44c3-99e5-07c79744fa92" ], @@ -670,10 +1306,10 @@ "type": "dataset" }, { - "_score": 14.8177805, + "_score": 14.814491, "_sort": [ 1789603523602, - 14.8177805, + 14.814491, 1, "35dc6334-671e-49a3-99cf-836c81bd89bf" ], @@ -812,10 +1448,10 @@ "type": "dataset" }, { - "_score": 35.186523, + "_score": 35.177216, "_sort": [ 1789603440914, - 35.186523, + 35.177216, 1, "f9d2b5c2-2aca-4a63-95ec-c9d9e90267e6" ], @@ -972,10 +1608,10 @@ "type": "dataset" }, { - "_score": 17.586761, + "_score": 17.579279, "_sort": [ 1789603021200, - 17.586761, + 17.579279, 1, "b9eaecc3-857d-495c-ab5f-5a4d22188160" ], @@ -1130,10 +1766,10 @@ "type": "dataset" }, { - "_score": 12.263064, + "_score": 12.260649, "_sort": [ 1789601470073, - 12.263064, + 12.260649, 3, "c5c0860e-eada-4094-92be-0d582f10ed06" ], @@ -1324,10 +1960,10 @@ "type": "dataset" }, { - "_score": 20.371727, + "_score": 20.366848, "_sort": [ 1789601190892, - 20.371727, + 20.366848, 2, "6e42dd7b-c9fe-4103-b683-982ef9f54847" ], @@ -1472,10 +2108,10 @@ "type": "dataset" }, { - "_score": 11.971778, + "_score": 11.971653, "_sort": [ 1789601046003, - 11.971778, + 11.971653, 4, "d17743ff-0310-40cb-87e2-831dda5dbf61" ], @@ -1624,10 +2260,10 @@ "type": "dataset" }, { - "_score": 24.008808, + "_score": 23.997604, "_sort": [ 1789601012177, - 24.008808, + 23.997604, 3, "ce120dc2-fe52-439c-b58d-ed71cb442150" ], @@ -1772,10 +2408,10 @@ "type": "dataset" }, { - "_score": 15.20117, + "_score": 15.20055, "_sort": [ 1789600939921, - 15.20117, + 15.20055, 1, "dd7e3233-6c6b-4728-ac90-38cd1dcd82fa" ], @@ -1902,10 +2538,10 @@ "type": "dataset" }, { - "_score": 8.122761, + "_score": 8.131712, "_sort": [ 1789584604291, - 8.122761, + 8.131712, 4, "374f22e6-71ff-41c8-ad59-226d7c041e6e" ], @@ -2014,646 +2650,10 @@ "type": "dataset" }, { - "_score": 8.153826, - "_sort": [ - 1789519571962, - 8.153826, - 3, - "6fb3691a-55bc-462e-82ed-7db02769e05c" - ], - "dcat": { - "accessLevel": "public", - "bureauCode": [ - "010:12" - ], - "contactPoint": { - "@type": "vcard:Contact", - "fn": "Michael E. Wieczorek", - "hasEmail": "mailto:mewieczo@usgs.gov" - }, - "description": "This data set represents the area of Hydrologic Landscape Regions (HLR) compiled for every catchment \nof NHDPlus for the conterminous United States. The source data set is a 100-meter version of Hydrologic \nLandscape Regions of the United States (Wolock, 2003). HLR groups watersheds on the basis of similarities \nin land-surface form, geologic texture, and climate characteristics.\n\t\t\nThe NHDPlus Version 1.1 is an integrated suite of application-ready geospatial datasets that incorporates \nmany of the best features of the National Hydrography Dataset (NHD) and the National Elevation Dataset \n(NED). The NHDPlus includes a stream network (based on the 1:100,00-scale NHD), improved networking, \nnaming, and value-added attributes (VAAs). NHDPlus also includes elevation-derived catchments \n(drainage areas) produced using a drainage enforcement technique first widely used in New England, \nand thus referred to as \"the New England Method.\" This technique involves \"burning in\" the 1:100,000-scale \nNHD and when available building \"walls\" using the National Watershed Boundary Dataset (WBD). The \nresulting modified digital elevation model (HydroDEM) is used to produce hydrologic derivatives that agree \nwith the NHD and WBD. Over the past two years, an interdisciplinary team from the U.S. Geological Survey \n(USGS), and the U.S. Environmental Protection Agency (USEPA), and contractors, found that this method \nproduces the best quality NHD catchments using an automated process (USEPA, 2007). The NHDPlus \ndataset is 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 Basins (MRBs, \nCrawford and others, 2006). MRB1, covering the New England and Mid-Atlantic River basins, contains \nNHDPlus Production Units 1 and 2. MRB2, covering the South Atlantic-Gulf and Tennessee River basins, \ncontains NHDPlus Production 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. MRB4, covering \nthe Missouri River basins, contains NHDPlus Production Units 10-lower and 10-upper. MRB5, covering \nthe Lower Mississippi, Arkansas-White-Red, and Texas-Gulf River basins, contains NHDPlus Production \nUnits 8, 11 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 basins, \ncontains NHDPlus Production Unit 17. MRB8, covering California River basins, contains NHDPlus \nProduction Unit 18.", - "distribution": [ - { - "@type": "dcat:Distribution", - "accessURL": "https://water.usgs.gov/lookup/getspatial?nhd_hlr", - "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.93b2f75c-33bc-4cae-b48e-41b6f85d2e39.xml", - "format": "XML", - "mediaType": "text/xml", - "title": "Original Metadata" - } - ], - "identifier": "http://datainventory.doi.gov/id/dataset/USGS_93b2f75c-33bc-4cae-b48e-41b6f85d2e39", - "keyword": [ - "CALI", - "COGB", - "California", - "Catchment", - "Conterminous United States", - "GLMR", - "Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy", - "Hydrologic landscape regions", - "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:93b2f75c-33bc-4cae-b48e-41b6f85d2e39", - "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: Hydrologic Landscape Regions" - }, - "description": "This data set represents the area of Hydrologic Landscape Regions (HLR) compiled for every catchment \nof NHDPlus for the conterminous United States. The source data set is a 100-meter version of Hydrologic \nLandscape Regions of the United States (Wolock, 2003). HLR groups watersheds on the basis of similarities \nin land-surface form, geologic texture, and climate characteristics.\n\t\t\nThe NHDPlus Version 1.1 is an integrated suite of application-ready geospatial datasets that incorporates \nmany of the best features of the National Hydrography Dataset (NHD) and the National Elevation Dataset \n(NED). The NHDPlus includes a stream network (based on the 1:100,00-scale NHD), improved networking, \nnaming, and value-added attributes (VAAs). NHDPlus also includes elevation-derived catchments \n(drainage areas) produced using a drainage enforcement technique first widely used in New England, \nand thus referred to as \"the New England Method.\" This technique involves \"burning in\" the 1:100,000-scale \nNHD and when available building \"walls\" using the National Watershed Boundary Dataset (WBD). The \nresulting modified digital elevation model (HydroDEM) is used to produce hydrologic derivatives that agree \nwith the NHD and WBD. Over the past two years, an interdisciplinary team from the U.S. Geological Survey \n(USGS), and the U.S. Environmental Protection Agency (USEPA), and contractors, found that this method \nproduces the best quality NHD catchments using an automated process (USEPA, 2007). The NHDPlus \ndataset is 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 Basins (MRBs, \nCrawford and others, 2006). MRB1, covering the New England and Mid-Atlantic River basins, contains \nNHDPlus Production Units 1 and 2. MRB2, covering the South Atlantic-Gulf and Tennessee River basins, \ncontains NHDPlus Production 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. MRB4, covering \nthe Missouri River basins, contains NHDPlus Production Units 10-lower and 10-upper. MRB5, covering \nthe Lower Mississippi, Arkansas-White-Red, and Texas-Gulf River basins, contains NHDPlus Production \nUnits 8, 11 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 basins, \ncontains NHDPlus Production Unit 17. 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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_titles": [ - "Digital Data", - "Original Metadata" - ], - "harvest_record": "https://catalog.data.gov/harvest_record/b6459563-4c36-4214-992e-a8a6001b879c", - "harvest_record_raw": "https://catalog.data.gov/harvest_record/b6459563-4c36-4214-992e-a8a6001b879c/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": "2026-09-16T00:32:56.699154", - "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. 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This metadata file describes the process \nof merging these spatial data sets, The shapefile attribute information associated with each \npolygon present an estimate of mean annual rainfall, fog interception, irrigation, septic-system \nleachate, runoff, canopy evaporation, actual evapotranspiration, storm-drain capture, net precipitation, \ntotal evapotranspiration, recharge, and seepage from reservoirs and cesspools. This shapefile also \nincludes select geographic and land-cover attributes of the polygons. Brief descriptions of the \nwater-budget components and attributes are included in this metadata file. Refer to USGS \nSIR 2015-5010 for further details of the methods and sources used to determine these \ncomponents and attributes.", - "distribution": [ - { - "@type": "dcat:Distribution", - "accessURL": "https://water.usgs.gov/lookup/getspatial?sir2015-5010_Oahu_WB_components_avg_climate", - "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.38975e2a-b3ce-44cd-bf4c-9c827c0e1309.xml", - "format": "XML", - "mediaType": "text/xml", - "title": "Original Metadata" - } - ], - "identifier": "http://datainventory.doi.gov/id/dataset/USGS_38975e2a-b3ce-44cd-bf4c-9c827c0e1309", - "keyword": [ - "Hawaii", - "Oahu", - "Pacific islands", - "USGS:38975e2a-b3ce-44cd-bf4c-9c827c0e1309", - "canopy evaporation", - "environment", - "evapotranspiration", - "fog interception", - "geoscientificInformation", - "groundwater recharge", - "inlandWaters", - "irrigation", - "rainfall", - "runoff", - "soil-water balance", - "storm-drain capture", - "water-budget model" - ], - "modified": "2020-11-17T00:00:00Z", - "publisher": { - "@type": "org:Organization", - "name": "U.S. Geological Survey" - }, - "spatial": "-158.282291463, 21.253656969, -157.644933809, 21.714009852", - "theme": [ - "geospatial" - ], - "title": "Mean annual water-budget components for the Island of Oahu, Hawaii, for average climate conditions, 1978-2007 rainfall and 2010 land cover (version 2.0)" - }, - "description": "The shapefile associated with this metadata file represents the spatial distribution of mean annual \nwater-budget components, in inches, for the Island of Oahu, Hawaii. 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These spatial data sets characterize \nthe spatial distribution of hydrologic and physical conditions that the model uses to compute \ngroundwater recharge and other water-budget components.The model-subarea data set (387,533 \npolygons) was subsequently intersected with the 0-ft elevation contour of the top of the basalt \naquifer to produce the 395,955 polygons in this shapefile. This metadata file describes the process \nof merging these spatial data sets, The shapefile attribute information associated with each \npolygon present an estimate of mean annual rainfall, fog interception, irrigation, septic-system \nleachate, runoff, canopy evaporation, actual evapotranspiration, storm-drain capture, net precipitation, \ntotal evapotranspiration, recharge, and seepage from reservoirs and cesspools. This shapefile also \nincludes select geographic and land-cover attributes of the polygons. Brief descriptions of the \nwater-budget components and attributes are included in this metadata file. 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"type": "dataset" - }, - { - "_score": 11.030319, + "_score": 11.026821, "_sort": [ 1789513555513, - 11.030319, + 11.026821, 7, "48fd2a4f-8e56-49b9-8e11-d4f58b231a30" ], @@ -2763,10 +2763,10 @@ "type": "dataset" }, { - "_score": 23.114937, + "_score": 23.11677, "_sort": [ 1789513499090, - 23.114937, + 23.11677, 32, "2c6b0e35-01c5-4a43-ab92-8797a91466f4" ], @@ -2861,10 +2861,10 @@ "type": "dataset" }, { - "_score": 9.182505, + "_score": 9.180649, "_sort": [ 1789512000138, - 9.182505, + 9.180649, 0, "0363a5bd-057a-4f24-8d75-527292769b33" ], @@ -3345,10 +3345,10 @@ "type": "dataset" }, { - "_score": 1.4034948, + "_score": 1.4037666, "_sort": [ 1789511998294, - 1.4034948, + 1.4037666, 0, "1db86468-df43-49ec-9105-c83e53236766" ], @@ -3736,10 +3736,10 @@ "type": "dataset" }, { - "_score": 9.175661, + "_score": 9.174179, "_sort": [ 1789511997221, - 9.175661, + 9.174179, 0, "568dfc80-0faf-4183-998b-bf8dc8f7b763" ], @@ -4082,10 +4082,10 @@ "type": "dataset" }, { - "_score": 6.0276947, + "_score": 6.0268764, "_sort": [ 1789509562486, - 6.0276947, + 6.0268764, 3, "c40e7b84-e85a-4f3b-a3b0-985b0dff4f5d" ], @@ -4247,10 +4247,10 @@ "type": "dataset" }, { - "_score": 16.712505, + "_score": 16.707748, "_sort": [ 1789509358578, - 16.712505, + 16.707748, 0, "261840ce-58e3-417c-98cc-ab88163a8028" ], @@ -4421,10 +4421,10 @@ "type": "dataset" }, { - "_score": 10.293179, + "_score": 10.300913, "_sort": [ 1789509287978, - 10.293179, + 10.300913, 9, "db000b57-a3c5-4244-90ba-1ceb8978ffe5" ], @@ -4595,10 +4595,10 @@ "type": "dataset" }, { - "_score": 11.385544, + "_score": 11.385292, "_sort": [ 1789507307909, - 11.385544, + 11.385292, 2, "57938452-5237-4c22-92e4-de8d85fbf0a7" ], @@ -4723,10 +4723,10 @@ "type": "dataset" }, { - "_score": 53.882874, + "_score": 53.876476, "_sort": [ 1789433476812, - 53.882874, + 53.876476, 0, "a728b766-4534-48a6-9e8e-b4d07d11e6ec" ], @@ -4857,10 +4857,10 @@ "type": "dataset" }, { - "_score": 53.684242, + "_score": 53.68208, "_sort": [ 1789433291793, - 53.684242, + 53.68208, 0, "db31a86e-edd4-4b7c-9bf4-95491cd9ff62" ], @@ -4987,10 +4987,10 @@ "type": "dataset" }, { - "_score": 29.831308, + "_score": 29.827763, "_sort": [ 1789432919829, - 29.831308, + 29.827763, 0, "5552205f-75ec-42f8-b51e-5f76bf3a9225" ], @@ -5125,10 +5125,10 @@ "type": "dataset" }, { - "_score": 61.17323, + "_score": 61.159725, "_sort": [ 1789432391212, - 61.17323, + 61.159725, 0, "f1a4a72f-e74b-41b6-b9d5-1ae018c6f6cf" ], @@ -5261,10 +5261,10 @@ "type": "dataset" }, { - "_score": 52.160694, + "_score": 52.15243, "_sort": [ 1789431872622, - 52.160694, + 52.15243, 2, "25757b05-e317-4ece-9d68-4afd82934e50" ], @@ -5346,4 +5346,4 @@ ], "title": "FishTail, Indices and Supporting Data Characterizing the Current and Future Risk to Fish Habitat Degradation in the Northeast Climate Science Center Region" }, - "description": "Human impacts occurring throughout the Northeast United StatesDOI Northeast Climate Science Center, including urbanization, agriculture, and dams, have multiple effects on the region’s streams which support economically valuable stream fishes. Changes in climate are expected to lead to additional impacts in stream habitats and fish assemblages in multiple ways, including changing stream water temperatures. To manage streams for current impacts and future changes, managers need region-wide information for decision-making and developing proactive management strategies. Our project met that need by integrating results of a current condition assessment of stream habitats based on fish response to human land use, water quality impairment, and fragmentation by dams with estimates of which stream habitats may change in the future. Results are available for all streams in the NE CSC region through a spatially-explicit, web-based viewer (FishTail). With this tool, managers can evaluate how streams of interest are currently impacted by land uses and assess if those habitats may change with climate. These results, available in a comparable way throughout the NE CSC, provide natural resource managers, decision-makers, and the public with a wealth of information to better protect and conserve stream fishes and their habitats. These + "description": "Human impacts occurring throughout the Northeast United StatesDOI Northeast Climate Science Center, including urbanization, agriculture, and dams, have multiple effects on the region’s streams which support economically valuable stream fishes. Changes in climate are expected to lead to additional impacts in stream habitats and fish assemblages in multiple ways, including changing stream water temperatures. To manage streams for current impacts and future changes, managers need region-wide information for decision-making and developing proactive management strategies. Our project met that need by integrating results of a current condition assessment of stream habitats based on fish response to human land use, water quality impairment, and fragmentation by dams with estimates of which stream habitats may change in the future. Results are available for all streams in the NE CSC region through a spatially-explicit, web-based viewer (FishTail). With this tool, managers can evaluate how streams of interest are currently impacted by land uses and assess if those habitats may change with climate. These results, available in a comparable way throughout the NE CSC, provide natural resource managers, decision-makers, and the public with a wealth of information to better protect and conserve stream fishes and their habitats. These data are integrated into a web-based decision support viewer (FishTail): 1) current condition