Timeline / Data.gov — Climate Datasets
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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 2026-09-28T06:16:32+00:00 |
| Content type | application/json |
| Current object |
687d52c88c92c2868ec8a90e34612656278252a88d468a4a4ad5188d881b7d54
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| Previous object |
cb627d377fd503969b39d3106aab96d318a522fc73fb78cf995bfee6eb06a937
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What changed derived
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civic-memory.diff_engine 1.1.0 at
2026-09-28T06:16:32+00:00 by normalizing the two archived objects above. The
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without loss. 4290 line(s) added, 4487 line(s) removed.
--- previous +++ current @@ -1,13 +1,13 @@ { - "after": "WzE3OTA0Njc4MDI3NjcsMi4zMTkzNzUsMSwiZWEwMjI1YzMtNzJiNy00ODg1LTg2YjAtNjQxNGQ0ZDVhZjA5Il0=", + "after": "WzE3OTA0Njc4NjM3MjQsMTIuMjQ0NDg5LDIsIjgwNDZlMjI3LWJjZWQtNGViZi1iYjQ0LWUxNjA2ODI5Mjk2NSJd", "results": [ { - "_score": 24.301125, + "_score": 23.954605, "_sort": [ - 1790553896384, - 24.301125, + 1790558805887, + 23.954605, 0, - "49cecdad-1dc5-4a35-b5f9-fad0ce47c7cc" + "212db81d-5389-43b8-8ca1-7e2620d9efa0" ], "dcat": { "accessLevel": "public", @@ -16,14 +16,14 @@ ], "contactPoint": { "@type": "vcard:Contact", - "fn": "Michelle Staudinger", - "hasEmail": "mailto:mstaudinger@usgs.gov" - }, - "description": "The timing of biological events in plants and animals, such as migration and reproduction, is shifting due to climate change. Anadromous fishes are particularly susceptible to these shifts, as they are subject to strong seasonal cycles when transitioning between marine and freshwater habitats to spawn. We used linear models to determine the extent of phenological shifts in adult alewife (Alosa pseudoharengus) as they migrated from ocean to freshwater environments during spring to spawn at 12 sites along the northeast U.S. We also evaluated broad-scale oceanic and atmospheric drivers that trigger their movements from offshore to inland habitats including sea surface temperature (SST), North Atlantic Oscillation index, and Gulf Stream Index.", + "fn": "Ethan B. Plunkett", + "hasEmail": "mailto:plunkett@eco.umass.edu" + }, + "description": "This package contains results from the Designing Sustainable Landscapes (DSL) Species Refugia project for Saltmarsh sparrow. The following files are included:\n1. Raster of Landscape Capability (LC) for (Saltmarsh sparrow)\n2. Raster of Climate Refugia (CRefugia) for (Saltmarsh sparrow) \n3. Polygon shapefile of all cores for (Saltmarsh sparrow)\n4. Conductance among 2020 cores for (Saltmarsh sparrow)\n5. Conductance among 2080 cores for (Saltmarsh sparrow)", "distribution": [ { "@type": "dcat:Distribution", - "accessURL": "https://doi.org/10.5066/P9TBIQVH", + "accessURL": "https://landeco.umass.edu/web/lcc/dsl/refugia/species_refugia_sals.zip", "description": "Landing page for access to the data", "format": "XML", "mediaType": "application/http", @@ -32,53 +32,81 @@ { "@type": "dcat:Distribution", "description": "The metadata original format", - "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.63d421cbd34e06fef150ea59.xml", + "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.6388dbfcd34ed907bf78e881.xml", "format": "XML", "mediaType": "text/xml", "title": "Original Metadata" } ], - "identifier": "http://datainventory.doi.gov/id/dataset/USGS_63d421cbd34e06fef150ea59", - "keyword": [ + "identifier": "http://datainventory.doi.gov/id/dataset/USGS_6388dbfcd34ed907bf78e881", + "keyword": [ + "Connecticut", + "Delaware", + "District of Columbia", + "Maine", + "Maryland", "Massachusetts", - "Massachusetts River", - "USGS:63d421cbd34e06fef150ea59", + "New Hampshire", + "New Jersey", + "New York", + "North America", + "Pennsylvania", + "Rhode Island", + "USGS:6388dbfcd34ed907bf78e881", + "United States", + "Vermont", + "Virginia", + "West Virginia", + "biota", "climate change", - "fish", - "migration (organisms)", - "phenology" + "environment", + "geospatial datasets" ], "modified": "2026-09-25T00:00:00Z", "publisher": { "@type": "org:Organization", "name": "U.S. Geological Survey" }, - "spatial": "-72.1362, 40.9716, -69.6094, 43.2452", - "theme": [ - "geospatial" - ], - "title": "Massachusetts River Herring Daily Counts and Environmental data" - }, - "description": "The timing of biological events in plants and animals, such as migration and reproduction, is shifting due to climate change. Anadromous fishes are particularly susceptible to these shifts, as they are subject to strong seasonal cycles when transitioning between marine and freshwater habitats to spawn. We used linear models to determine the extent of phenological shifts in adult alewife (Alosa pseudoharengus) as they migrated from ocean to freshwater environments during spring to spawn at 12 sites along the northeast U.S. We also evaluated broad-scale oceanic and atmospheric drivers that trigger their movements from offshore to inland habitats including sea surface temperature (SST), North Atlantic Oscillation index, and Gulf Stream Index.", + "spatial": "-83.8015, 34.4437, -65.8410, 49.4647", + "theme": [ + "geospatial" + ], + "title": "Current condition and refugia conservation cores for the Saltmarsh sparrow and conductance among them" + }, + "description": "This package contains results from the Designing Sustainable Landscapes (DSL) Species Refugia project for Saltmarsh sparrow. The following files are included:\n1. Raster of Landscape Capability (LC) for (Saltmarsh sparrow)\n2. Raster of Climate Refugia (CRefugia) for (Saltmarsh sparrow) \n3. Polygon shapefile of all cores for (Saltmarsh sparrow)\n4. Conductance among 2020 cores for (Saltmarsh sparrow)\n5. Conductance among 2080 cores for (Saltmarsh sparrow)", "distribution_titles": [ "Digital Data", "Original Metadata" ], - "harvest_record": "https://catalog.data.gov/harvest_record/0598692b-4286-437e-ab30-d90a520ecf8b", - "harvest_record_raw": "https://catalog.data.gov/harvest_record/0598692b-4286-437e-ab30-d90a520ecf8b/raw", + "harvest_record": "https://catalog.data.gov/harvest_record/2c062b20-fd05-43c8-9931-7b492ffbe5c6", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/2c062b20-fd05-43c8-9931-7b492ffbe5c6/raw", "has_download": true, "has_spatial": true, - "identifier": "http://datainventory.doi.gov/id/dataset/USGS_63d421cbd34e06fef150ea59", - "keyword": [ + "identifier": "http://datainventory.doi.gov/id/dataset/USGS_6388dbfcd34ed907bf78e881", + "keyword": [ + "Connecticut", + "Delaware", + "District of Columbia", + "Maine", + "Maryland", "Massachusetts", - "Massachusetts River", - "USGS:63d421cbd34e06fef150ea59", + "New Hampshire", + "New Jersey", + "New York", + "North America", + "Pennsylvania", + "Rhode Island", + "USGS:6388dbfcd34ed907bf78e881", + "United States", + "Vermont", + "Virginia", + "West Virginia", + "biota", "climate change", - "fish", - "migration (organisms)", - "phenology" - ], - "last_harvested_date": "2026-09-28T00:04:56.384192", + "environment", + "geospatial datasets" + ], + "last_harvested_date": "2026-09-28T01:26:45.887264", "organization": { "aliases": [ "dept" @@ -95,33 +123,33 @@ "parent_identifier": null, "popularity": 0, "publisher": "U.S. Geological Survey", - "slug": "massachusetts-river-herring-daily-counts-and-environmental-data", + "slug": "current-condition-and-refugia-conservation-cores-for-the-saltmarsh-sparrow-and-conductance", "spatial_centroid": { - "lat": 41.88104, - "lon": -71.12548 + "lat": 40.4521, + "lon": -76.6173 }, "spatial_shape": { "coordinates": [ [ [ - -72.1362, - 40.9716 - ], - [ - -72.1362, - 43.2452 - ], - [ - -69.6094, - 43.2452 - ], - [ - -69.6094, - 40.9716 - ], - [ - -72.1362, - 40.9716 + -83.8015, + 34.4437 + ], + [ + -83.8015, + 49.4647 + ], + [ + -65.841, + 49.4647 + ], + [ + -65.841, + 34.4437 + ], + [ + -83.8015, + 34.4437 ] ] ], @@ -130,144 +158,16 @@ "theme": [ "geospatial" ], - "title": "Massachusetts River Herring Daily Counts and Environmental data", + "title": "Current condition and refugia conservation cores for the Saltmarsh sparrow and conductance among them", "type": "dataset" }, { - "_score": 28.70164, + "_score": 24.466156, "_sort": [ - 1790541449941, - 28.70164, + 1790558576514, + 24.466156, 0, - "bf3a3305-4a6e-4f66-b568-f18bfd6eedaf" - ], - "dcat": { - "@type": "dcat:Dataset", - "accessLevel": "public", - "contactPoint": { - "@type": "vcard:Contact", - "fn": "USEPA", - "hasEmail": "mailto:comeleo.randy@epa.gov" - }, - "describedByType": "application/octet-stream", - "description": "Originators: US Environmental Protection Agency Publisher: US EPA Office of Research & Development (ORD) - National Health and Environmental Effects Research Laboratory (NHEERL) Publication place: Corvallis, OR Publication date: Time Period of Data: 1900-2010; Projected data for 2041-2070. Data location: GeoPlatform (\"https://www.geoplatform.gov/\") and EPA Environmental Dataset Gateway (https://edg.epa.gov/). Abstract: We apply the hydrologic landscapes (HL) concept to assess the hydrologic vulnerability of the western United States (U.S.) to projected climate conditions. Our goal is to understand the potential impacts for stakeholder-defined interests across large geographic areas. The basic assumption of the HL approach is that catchments that share similar physical and climatic characteristics are expected to have similar hydrologic characteristics. We map climate vulnerability by integrating the HL approach into a retrospective analysis of historical data to assess variability in future climate projections and hydrology, which includes temperature, precipitation, potential evapotranspiration, snow accumulation, climatic moisture, surplus water, and seasonality of water surplus. Projections that are not within two-standard deviations of the historical decadal average contribute to the vulnerability index for each metric. The resulting vulnerability maps show that temperature and potential evapotranspiration are consistently projected to have high vulnerability indices for the western U.S. Precipitation vulnerability is not as spatially-uniform as temperature. The highest elevation areas with snow are projected to experience significant changes in snow accumulation. The seasonality vulnerability map shows that specific mountainous areas in the West are most prone to changes in seasonality, whereas many transitional terrains are moderately susceptible. This paper illustrates how the HL approach can help assess climatic and hydrologic vulnerability across large spatial scales. By combining the HL concept and climate vulnerability analyses, we provide a planning approach that could allow resource managers to consider how future climate conditions may impact important economic and conservation resources. Purpose: These data were created in support of the US EPA’s ACE CIVA 2.3, Task Project (QAPP: E-WED-0030854). However, these climate data and hydrologic landscape summaries should have broad applicability for hydrological, geomorphic, or ecological modeling, management, and restoration. This raster contains the modeled change in the average Feddema Moisture Index between the 2041-2070 modeled data (specified in the title) relative to the 1971-2000 Normal period.", - "distribution": [], - "identifier": "https://edg.epa.gov/WAFer_harvest/ISO/ord-geo-repository_WdF_inmcm4.tif.xml", - "issued": "2020-01-10T00:00:00.000+00:00", - "keyword": [ - "Arizona", - "California", - "Idaho", - "Nevada", - "Oregon", - "Washington", - "Climate", - "Environment", - "Ground Water", - "Natural Resources", - "Water", - "020:094", - "Downloadable Data" - ], - "language": [], - "license": "https://creativecommons.org/publicdomain/zero/1.0/", - "modified": "2020-01-10T00:00:00.000+00:00", - "publisher": { - "@type": "org:Organization", - "name": "USEPA" - }, - "spatial": "-108.071872,29.335308,-127.854174,50.664713", - "temporal": "1971-01-01T00:00:00+00:00/2010-12-31T00:00:00+00:00", - "theme": [ - "geospatial" - ], - "title": "Modeled change in the average Feddema Moisture Index (multiplied by 1000) between the modeled 2041-2070 period (INM-CM4 r1i1p1 model) and the 1971-2000 Normal period." - }, - "description": "Originators: US Environmental Protection Agency Publisher: US EPA Office of Research & Development (ORD) - National Health and Environmental Effects Research Laboratory (NHEERL) Publication place: Corvallis, OR Publication date: Time Period of Data: 1900-2010; Projected data for 2041-2070. Data location: GeoPlatform (\"https://www.geoplatform.gov/\") and EPA Environmental Dataset Gateway (https://edg.epa.gov/). Abstract: We apply the hydrologic landscapes (HL) concept to assess the hydrologic vulnerability of the western United States (U.S.) to projected climate conditions. Our goal is to understand the potential impacts for stakeholder-defined interests across large geographic areas. The basic assumption of the HL approach is that catchments that share similar physical and climatic characteristics are expected to have similar hydrologic characteristics. We map climate vulnerability by integrating the HL approach into a retrospective analysis of historical data to assess variability in future climate projections and hydrology, which includes temperature, precipitation, potential evapotranspiration, snow accumulation, climatic moisture, surplus water, and seasonality of water surplus. Projections that are not within two-standard deviations of the historical decadal average contribute to the vulnerability index for each metric. The resulting vulnerability maps show that temperature and potential evapotranspiration are consistently projected to have high vulnerability indices for the western U.S. Precipitation vulnerability is not as spatially-uniform as temperature. The highest elevation areas with snow are projected to experience significant changes in snow accumulation. The seasonality vulnerability map shows that specific mountainous areas in the West are most prone to changes in seasonality, whereas many transitional terrains are moderately susceptible. This paper illustrates how the HL approach can help assess climatic and hydrologic vulnerability across large spatial scales. By combining the HL concept and climate vulnerability analyses, we provide a planning approach that could allow resource managers to consider how future climate conditions may impact important economic and conservation resources. Purpose: These data were created in support of the US EPA’s ACE CIVA 2.3, Task Project (QAPP: E-WED-0030854). However, these climate data and hydrologic landscape summaries should have broad applicability for hydrological, geomorphic, or ecological modeling, management, and restoration. This raster contains the modeled change in the average Feddema Moisture Index between the 2041-2070 modeled data (specified in the title) relative to the 1971-2000 Normal period.", - "distribution_titles": [], - "harvest_record": "https://catalog.data.gov/harvest_record/418a91b0-451f-4700-bdb4-10f71a452368", - "harvest_record_raw": "https://catalog.data.gov/harvest_record/418a91b0-451f-4700-bdb4-10f71a452368/raw", - "harvest_record_transformed": "https://catalog.data.gov/harvest_record/418a91b0-451f-4700-bdb4-10f71a452368/transformed", - "has_download": false, - "has_spatial": true, - "identifier": "https://edg.epa.gov/WAFer_harvest/ISO/ord-geo-repository_WdF_inmcm4.tif.xml", - "keyword": [ - "Arizona", - "California", - "Idaho", - "Nevada", - "Oregon", - "Washington", - "Climate", - "Environment", - "Ground Water", - "Natural Resources", - "Water", - "020:094", - "Downloadable Data" - ], - "last_harvested_date": "2026-09-27T20:37:29.941113", - "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": "USEPA", - "slug": "modeled-change-in-the-average-feddema-moisture-index-multiplied-by-1000-between-the-modele-78993", - "spatial_centroid": { - "lat": 37.86707, - "lon": -115.9847928 - }, - "spatial_shape": { - "coordinates": [ - [ - [ - -108.071872, - 29.335308 - ], - [ - -108.071872, - 50.664713 - ], - [ - -127.854174, - 50.664713 - ], - [ - -127.854174, - 29.335308 - ], - [ - -108.071872, - 29.335308 - ] - ] - ], - "type": "Polygon" - }, - "theme": [ - "geospatial" - ], - "title": "Modeled change in the average Feddema Moisture Index (multiplied by 1000) between the modeled 2041-2070 period (INM-CM4 r1i1p1 model) and the 1971-2000 Normal period.", - "type": "dataset" - }, - { - "_score": 22.374905, - "_sort": [ - 1790472830505, - 22.374905, - 0, - "63e3d628-2a5f-4e97-a704-8805ede4aa45" + "f4f44ad4-d0f5-40f0-afee-7954aae64e28" ], "dcat": { "accessLevel": "public", @@ -276,14 +176,14 @@ ], "contactPoint": { "@type": "vcard:Contact", - "fn": "Climate Adaptation Science Center", - "hasEmail": "mailto:casc-data@usgs.gov" - }, - "description": "Winter climate change has the potential to have a large impact on coastal wetlands in the southeastern U.S. Warmer winter temperatures and reductions in the intensity of freeze events would likely lead to mangrove forest range expansion and salt marsh displacement in parts of the U.S. Gulf of Mexico and Atlantic coast. The objective of this research was to better understand some of the ecological implications of mangrove forest migration and salt marsh displacement. The potential ecological effects of mangrove migration are diverse ranging from important biotic impacts (e.g., coastal fisheries, land bird migration; colonial nesting wading birds) to ecosystem stability (e.g., response to sea level rise and drought; habitat loss; coastal protection) to biogeochemical processes (e.g., carbon storage; water quality). In this research, our focus was on the impact of mangrove forest migration on coastal wetland soil processes and the consequent implications for coastal wetland responses to sea level rise, ecosystem resilience, and carbon storage. Our study specifically addressed the following questions: (1) How do ecological processes and ecosystem properties differ between salt marshes and mangrove forests; (2) As mangrove forests develop, how do their ecosystem properties change and how do these properties compare to salt marshes; (3) How do plant-soil interactions across mangrove forest structural gradients differ among three distinct locations that span the northern Gulf of Mexico; and (4) What are the implications of mangrove forest encroachment and development into salt marsh in terms of soil development, carbon and nitrogen storage, and soil strength? To address these questions, we utilized the salt marshes and natural mangrove forest structural gradients present at three distinct locations in the northern Gulf of Mexico: Cedar Key (Florida), Port Fourchon (Louisiana), and Port Aransas (Texas). Each of these locations represents a distinct combination of climate-driven abiotic conditions. We quantified relationships between plant community composition and structure, soil and porewater physicochemical properties, hydroperiod, and climatic conditions. The suite of measurements that we collected provide initial insights into how different geographic areas of an ecotone, with different environmental conditions, may be impacted by mangrove forest expansion and development, and how these changes may alter the supply of specific ecosystem goods and services. This file includes the site-level elevation data.\nThis work was conducted via a collaborative effort between scientists at the U.S. Geological Survey National Wetland Research Center and the Department of Biology of the University of Louisiana at Lafayette.", + "fn": "Ethan Plunkett", + "hasEmail": "mailto:eplunkett@eco.umass.edu" + }, + "description": "This package contains results from the Designing Sustainable Landscapes (DSL) Species Refugia project for Moose. The following files are included:\n1. Raster of Landscape Capability (LC) for Moose\n2. Raster of Climate Refugia (CRefugia) for Moose\n3. Polygon shapefile of all cores for Moose\n4. Conductance among 2020 cores for Moose\n5. Conductance among 2080 cores for Moose", "distribution": [ { "@type": "dcat:Distribution", - "accessURL": "https://doi.org/10.5066/P1GDTXUR", + "accessURL": "https://landeco.umass.edu/web/lcc/dsl/refugia/species_refugia_moose.zip", "description": "Landing page for access to the data", "format": "XML", "mediaType": "application/http", @@ -292,50 +192,81 @@ { "@type": "dcat:Distribution", "description": "The metadata original format", - "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.545cfdb9e4b0ba8303f713e7.xml", + "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.636aa41dd34ed907bf6a6b22.xml", "format": "XML", "mediaType": "text/xml", "title": "Original Metadata" } ], - "identifier": "http://datainventory.doi.gov/id/dataset/USGS_545cfdb9e4b0ba8303f713e7", - "keyword": [ - "USGS:545cfdb9e4b0ba8303f713e7", + "identifier": "http://datainventory.doi.gov/id/dataset/USGS_636aa41dd34ed907bf6a6b22", + "keyword": [ + "Connecticut", + "Delaware", + "District of Columbia", + "Maine", + "Maryland", + "Massachusetts", + "New Hampshire", + "New Jersey", + "New York", + "North America", + "Pennsylvania", + "Rhode Island", + "USGS:636aa41dd34ed907bf6a6b22", + "United States", + "Vermont", + "Virginia", + "West Virginia", + "biota", "climate change", - "coastal", - "elevation", - "range shift", - "wetlands" - ], - "modified": "2026-09-22T00:00:00Z", + "environment", + "geospatial datasets" + ], + "modified": "2026-09-25T00:00:00Z", "publisher": { "@type": "org:Organization", "name": "U.S. Geological Survey" }, - "theme": [ - "geospatial" - ], - "title": "Site Level Elevation Collection Data" - }, - "description": "Winter climate change has the potential to have a large impact on coastal wetlands in the southeastern U.S. Warmer winter temperatures and reductions in the intensity of freeze events would likely lead to mangrove forest range expansion and salt marsh displacement in parts of the U.S. Gulf of Mexico and Atlantic coast. The objective of this research was to better understand some of the ecological implications of mangrove forest migration and salt marsh displacement. The potential ecological effects of mangrove migration are diverse ranging from important biotic impacts (e.g., coastal fisheries, land bird migration; colonial nesting wading birds) to ecosystem stability (e.g., response to sea level rise and drought; habitat loss; coastal protection) to biogeochemical processes (e.g., carbon storage; water quality). In this research, our focus was on the impact of mangrove forest migration on coastal wetland soil processes and the consequent implications for coastal wetland responses to sea level rise, ecosystem resilience, and carbon storage. Our study specifically addressed the following questions: (1) How do ecological processes and ecosystem properties differ between salt marshes and mangrove forests; (2) As mangrove forests develop, how do their ecosystem properties change and how do these properties compare to salt marshes; (3) How do plant-soil interactions across mangrove forest structural gradients differ among three distinct locations that span the northern Gulf of Mexico; and (4) What are the implications of mangrove forest encroachment and development into salt marsh in terms of soil development, carbon and nitrogen storage, and soil strength? To address these questions, we utilized the salt marshes and natural mangrove forest structural gradients present at three distinct locations in the northern Gulf of Mexico: Cedar Key (Florida), Port Fourchon (Louisiana), and Port Aransas (Texas). Each of these locations represents a distinct combination of climate-driven abiotic conditions. We quantified relationships between plant community composition and structure, soil and porewater physicochemical properties, hydroperiod, and climatic conditions. The suite of measurements that we collected provide initial insights into how different geographic areas of an ecotone, with different environmental conditions, may be impacted by mangrove forest expansion and development, and how these changes may alter the supply of specific ecosystem goods and services. This file includes the site-level elevation data.\nThis work was conducted via a collaborative effort between scientists at the U.S. Geological Survey National Wetland Research Center and the Department of Biology of the University of Louisiana at Lafayette.", + "spatial": "-83.8015, 34.4437, -65.8410, 49.4647", + "theme": [ + "geospatial" + ], + "title": "Current condition and refugia conservation cores for Moose and conductance among them" + }, + "description": "This package contains results from the Designing Sustainable Landscapes (DSL) Species Refugia project for Moose. The following files are included:\n1. Raster of Landscape Capability (LC) for Moose\n2. Raster of Climate Refugia (CRefugia) for Moose\n3. Polygon shapefile of all cores for Moose\n4. Conductance among 2020 cores for Moose\n5. Conductance among 2080 cores for Moose", "distribution_titles": [ "Digital Data", "Original Metadata" ], - "harvest_record": "https://catalog.data.gov/harvest_record/cc23b262-c377-48aa-aa35-9763db0eed9b", - "harvest_record_raw": "https://catalog.data.gov/harvest_record/cc23b262-c377-48aa-aa35-9763db0eed9b/raw", + "harvest_record": "https://catalog.data.gov/harvest_record/f1e11442-e447-40b6-be2d-3c66f90c5273", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/f1e11442-e447-40b6-be2d-3c66f90c5273/raw", "has_download": true, "has_spatial": true, - "identifier": "http://datainventory.doi.gov/id/dataset/USGS_545cfdb9e4b0ba8303f713e7", - "keyword": [ - "USGS:545cfdb9e4b0ba8303f713e7", + "identifier": "http://datainventory.doi.gov/id/dataset/USGS_636aa41dd34ed907bf6a6b22", + "keyword": [ + "Connecticut", + "Delaware", + "District of Columbia", + "Maine", + "Maryland", + "Massachusetts", + "New Hampshire", + "New Jersey", + "New York", + "North America", + "Pennsylvania", + "Rhode Island", + "USGS:636aa41dd34ed907bf6a6b22", + "United States", + "Vermont", + "Virginia", + "West Virginia", + "biota", "climate change", - "coastal", - "elevation", - "range shift", - "wetlands" - ], - "last_harvested_date": "2026-09-27T01:33:50.505839", + "environment", + "geospatial datasets" + ], + "last_harvested_date": "2026-09-28T01:22:56.514107", "organization": { "aliases": [ "dept" @@ -352,22 +283,51 @@ "parent_identifier": null, "popularity": 0, "publisher": "U.S. Geological Survey", - "slug": "site-level-elevation-collection-data", - "spatial_centroid": null, - "spatial_shape": null, - "theme": [ - "geospatial" - ], - "title": "Site Level Elevation Collection Data", + "slug": "current-condition-and-refugia-conservation-cores-for-moose-and-conductance-among-them", + "spatial_centroid": { + "lat": 40.4521, + "lon": -76.6173 + }, + "spatial_shape": { + "coordinates": [ + [ + [ + -83.8015, + 34.4437 + ], + [ + -83.8015, + 49.4647 + ], + [ + -65.841, + 49.4647 + ], + [ + -65.841, + 34.4437 + ], + [ + -83.8015, + 34.4437 + ] + ] + ], + "type": "Polygon" + }, + "theme": [ + "geospatial" + ], + "title": "Current condition and refugia conservation cores for Moose and conductance among them", "type": "dataset" }, { - "_score": 8.167505, + "_score": 23.647564, "_sort": [ - 1790472756481, - 8.167505, + 1790558194744, + 23.647564, 0, - "d2a41847-8a2e-4d32-b875-f8b738c3d850" + "79ae3bf4-8b57-4695-acd8-fb902a2a14ce" ], "dcat": { "accessLevel": "public", @@ -376,14 +336,14 @@ ], "contactPoint": { "@type": "vcard:Contact", - "fn": "Jacob A Fleck", - "hasEmail": "mailto:jafleck@usgs.gov" - }, - "description": "Little is known about mercury concentrations at bay margins, and how climate change, including changes in temperature and precipitation, will affect mercury exposure and methylmercury (MeHg) production. In addition, the San Francisco South Bay Salt Ponds Restoration Program (SBSPRP) needs more efficient and effective mercury monitoring approaches at larger spatial scales to understand changes in mercury at a regional level. The goal of this new project, a collaboration between the USGS Western Geographic Science Center, Water Mission Area, and the California Water Science Center (CAWSC), is to develop the capacity to map total mercury (THg) and MeHg in South San Francisco Bay (SFB) through the satellite remote sensing (Sentinel-2) of two known mercury indicators: total suspended solids (TSS) and colored dissolved organic matter (CDOM). In addition to quantifying the accuracy of this approach, this research aims in South SFB using the Sentinel-2 satellite in order to 1) improve understanding of region-wide mercury spatial and temporal trends associated with weather events and wetland restoration management activities, and 2) improve mercury monitoring efficiencies and capabilities moving forward. One main project objective is to assess the capacity to detect anomalies in remotely sensed TSS, CDOM, and mercury species associated with recent weather events or restoration activities through time series analysis. \nThe optical measurements reported here were collected to aid in the characterization of water sources and mixtures and establish proxies (surrogates) for mercury and methylmercury concentrations and to provide ground-truthing for remotely sensed models of dissolved organic carbon (DOC) concentrations. Data are compiled into five tables: 1) full fluorescence spectra in vectorized format (LSB_Hg_RS_EEMs_vectors.csv), 2) full absorbance spectra for 1 centimeter (cm) path measurements (LSB_Hg_RS_1cm_ABS_scans.csv), 3) full absorbance spectra for 10 cm path measurements (SSFB_Hg_RS_10cm_ABS_scans.csv), 4) absorption coefficients derived from the 10cm path measurements (SSFB_Hg_RS_10cm_ag_scans.csv), and 5) summary file of commonly extracted optical indicators and calculated wavelength-array values derived from the optical data that correspond to arrays measured by field-based sensors for use in statistical analyses and model development (LSB_Hg_RS_OMRL_Sample_Summary.csv).", + "fn": "Ethan B. Plunkett", + "hasEmail": "mailto:plunkett@eco.umass.edu" + }, + "description": "This package contains results from the Designing Sustainable Landscapes (DSL) Species Refugia project for Box turtle (teca). The following files are included:\n1. Raster of Landscape Capability (LC) for Box turtle\n2. Raster of Climate Refugia (CRefugia) for Box turtle\n3. Polygon shapefile of all cores for Box turtle\n4. Conductance among 2020 cores for Box turtle\n5. Conductance among 2080 cores for Box turtle", "distribution": [ { "@type": "dcat:Distribution", - "accessURL": "https://doi.org/10.5066/P13JOXXA", + "accessURL": "https://landeco.umass.edu/web/lcc/dsl/refugia/species_refugia_teca.zip", "description": "Landing page for access to the data", "format": "XML", "mediaType": "application/http", @@ -392,57 +352,81 @@ { "@type": "dcat:Distribution", "description": "The metadata original format", - "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.6a1f4a72b66b018da518f7ee.xml", + "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.63867543d34ed907bf77a190.xml", "format": "XML", "mediaType": "text/xml", "title": "Original Metadata" } ], - "identifier": "http://datainventory.doi.gov/id/dataset/USGS_6a1f4a72b66b018da518f7ee", - "keyword": [ - "Absorbance", - "Aqualog", - "Dissolved Organic Matter", - "Fluorescence", - "Hydrology", - "USGS:6a1f4a72b66b018da518f7ee", - "Water Quality", + "identifier": "http://datainventory.doi.gov/id/dataset/USGS_63867543d34ed907bf77a190", + "keyword": [ + "Connecticut", + "Delaware", + "District of Columbia", + "Maine", + "Maryland", + "Massachusetts", + "New Hampshire", + "New Jersey", + "New York", + "North America", + "Pennsylvania", + "Rhode Island", + "USGS:63867543d34ed907bf77a190", + "United States", + "Vermont", + "Virginia", + "West Virginia", + "biota", + "climate change", "environment", - "geoscientificInformation" - ], - "modified": "2026-09-22T00:00:00Z", + "geospatial dataset" + ], + "modified": "2026-09-25T00:00:00Z", "publisher": { "@type": "org:Organization", "name": "U.S. Geological Survey" }, - "spatial": "-122.4200, 37.4000, -121.9000, 37.6400", - "theme": [ - "geospatial" - ], - "title": "Optical measurements for surface water samples collected within South San Francisco Bay in support of mercury modeling" - }, - "description": "Little is known about mercury concentrations at bay margins, and how climate change, including changes in temperature and precipitation, will affect mercury exposure and methylmercury (MeHg) production. In addition, the San Francisco South Bay Salt Ponds Restoration Program (SBSPRP) needs more efficient and effective mercury monitoring approaches at larger spatial scales to understand changes in mercury at a regional level. The goal of this new project, a collaboration between the USGS Western Geographic Science Center, Water Mission Area, and the California Water Science Center (CAWSC), is to develop the capacity to map total mercury (THg) and MeHg in South San Francisco Bay (SFB) through the satellite remote sensing (Sentinel-2) of two known mercury indicators: total suspended solids (TSS) and colored dissolved organic matter (CDOM). In addition to quantifying the accuracy of this approach, this research aims in South SFB using the Sentinel-2 satellite in order to 1) improve understanding of region-wide mercury spatial and temporal trends associated with weather events and wetland restoration management activities, and 2) improve mercury monitoring efficiencies and capabilities moving forward. One main project objective is to assess the capacity to detect anomalies in remotely sensed TSS, CDOM, and mercury species associated with recent weather events or restoration activities through time series analysis. \nThe optical measurements reported here were collected to aid in the characterization of water sources and mixtures and establish proxies (surrogates) for mercury and methylmercury concentrations and to provide ground-truthing for remotely sensed models of dissolved organic carbon (DOC) concentrations. Data are compiled into five tables: 1) full fluorescence spectra in vectorized format (LSB_Hg_RS_EEMs_vectors.csv), 2) full absorbance spectra for 1 centimeter (cm) path measurements (LSB_Hg_RS_1cm_ABS_scans.csv), 3) full absorbance spectra for 10 cm path measurements (SSFB_Hg_RS_10cm_ABS_scans.csv), 4) absorption coefficients derived from the 10cm path measurements (SSFB_Hg_RS_10cm_ag_scans.csv), and 5) summary file of commonly extracted optical indicators and calculated wavelength-array values derived from the optical data that correspond to arrays measured by field-based sensors for use in statistical analyses and model development (LSB_Hg_RS_OMRL_Sample_Summary.csv).", + "spatial": "-83.8015, 34.4437, -65.8410, 49.4647", + "theme": [ + "geospatial" + ], + "title": "Current condition and refugia conservation cores for the Box turtle and conductance among them" + }, + "description": "This package contains results from the Designing Sustainable Landscapes (DSL) Species Refugia project for Box turtle (teca). The following files are included:\n1. Raster of Landscape Capability (LC) for Box turtle\n2. Raster of Climate Refugia (CRefugia) for Box turtle\n3. Polygon shapefile of all cores for Box turtle\n4. Conductance among 2020 cores for Box turtle\n5. Conductance among 2080 cores for Box turtle", "distribution_titles": [ "Digital Data", "Original Metadata" ], - "harvest_record": "https://catalog.data.gov/harvest_record/15ca54a1-0bba-449c-add3-c77050e14527", - "harvest_record_raw": "https://catalog.data.gov/harvest_record/15ca54a1-0bba-449c-add3-c77050e14527/raw", + "harvest_record": "https://catalog.data.gov/harvest_record/3dee1bb1-d71f-481c-a97a-ebe13159fb27", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/3dee1bb1-d71f-481c-a97a-ebe13159fb27/raw", "has_download": true, "has_spatial": true, - "identifier": "http://datainventory.doi.gov/id/dataset/USGS_6a1f4a72b66b018da518f7ee", - "keyword": [ - "Absorbance", - "Aqualog", - "Dissolved Organic Matter", - "Fluorescence", - "Hydrology", - "USGS:6a1f4a72b66b018da518f7ee", - "Water Quality", + "identifier": "http://datainventory.doi.gov/id/dataset/USGS_63867543d34ed907bf77a190", + "keyword": [ + "Connecticut", + "Delaware", + "District of Columbia", + "Maine", + "Maryland", + "Massachusetts", + "New Hampshire", + "New Jersey", + "New York", + "North America", + "Pennsylvania", + "Rhode Island", + "USGS:63867543d34ed907bf77a190", + "United States", + "Vermont", + "Virginia", + "West Virginia", + "biota", + "climate change", "environment", - "geoscientificInformation" - ], - "last_harvested_date": "2026-09-27T01:32:36.481698", + "geospatial dataset" + ], + "last_harvested_date": "2026-09-28T01:16:34.744668", "organization": { "aliases": [ "dept" @@ -459,33 +443,33 @@ "parent_identifier": null, "popularity": 0, "publisher": "U.S. Geological Survey", - "slug": "optical-measurements-for-surface-water-samples-collected-within-south-san-francisco-bay-in", + "slug": "current-condition-and-refugia-conservation-cores-for-the-box-turtle-and-conductance-among-", "spatial_centroid": { - "lat": 37.495999999999995, - "lon": -122.21200000000002 + "lat": 40.4521, + "lon": -76.6173 }, "spatial_shape": { "coordinates": [ [ [ - -122.42, - 37.4 - ], - [ - -122.42, - 37.64 - ], - [ - -121.9, - 37.64 - ], - [ - -121.9, - 37.4 - ], - [ - -122.42, - 37.4 + -83.8015, + 34.4437 + ], + [ + -83.8015, + 49.4647 + ], + [ + -65.841, + 49.4647 + ], + [ + -65.841, + 34.4437 + ], + [ + -83.8015, + 34.4437 ] ] ], @@ -494,16 +478,16 @@ "theme": [ "geospatial" ], - "title": "Optical measurements for surface water samples collected within South San Francisco Bay in support of mercury modeling", + "title": "Current condition and refugia conservation cores for the Box turtle and conductance among them", "type": "dataset" }, { - "_score": 11.829378, + "_score": 24.71877, "_sort": [ - 1790472742953, - 11.829378, + 1790558150225, + 24.71877, 0, - "2de4c217-bd1c-4956-a485-727d64cb6f41" + "66bdb0c0-0a01-4ec7-b687-d237ceb6c06b" ], "dcat": { "accessLevel": "public", @@ -512,14 +496,14 @@ ], "contactPoint": { "@type": "vcard:Contact", - "fn": "Michael Osland", - "hasEmail": "mailto:mosland@usgs.gov" - }, - "description": "Winter climate change has the potential to have a large impact on coastal wetlands in the southeastern U.S. Warmer winter temperatures and reductions in the intensity of freeze events would likely lead to mangrove forest range expansion and salt marsh displacement in parts of the U.S. Gulf of Mexico and Atlantic coast. The objective of this research was to better understand some of the ecological implications of mangrove forest migration and salt marsh displacement. The potential ecological effects of mangrove migration are diverse ranging from important biotic impacts (e.g., coastal fisheries, land bird migration; colonial nesting wading birds) to ecosystem stability (e.g., response to sea level rise and drought; habitat loss; coastal protection) to biogeochemical processes (e.g., carbon storage; water quality). In this research, our focus was on the impact of mangrove forest migration on coastal wetland soil processes and the consequent implications for coastal wetland responses to sea level rise, ecosystem resilience, and carbon storage. Our study specifically addressed the following questions: (1) How do ecological processes and ecosystem properties differ between salt marshes and mangrove forests; (2) As mangrove forests develop, how do their ecosystem properties change and how do these properties compare to salt marshes; (3) How do plant-soil interactions across mangrove forest structural gradients differ among three distinct locations that span the northern Gulf of Mexico; and (4) What are the implications of mangrove forest encroachment and development into salt marsh in terms of soil development, carbon and nitrogen storage, and soil strength? To address these questions, we utilized the salt marshes and natural mangrove forest structural gradients present at three distinct locations in the northern Gulf of Mexico: Cedar Key (Florida), Port Fourchon (Louisiana), and Port Aransas (Texas). Each of these locations represents a distinct combination of climate-driven abiotic conditions. We quantified relationships between plant community composition and structure, soil and porewater physicochemical properties, hydroperiod, and climatic conditions. The suite of measurements that we collected provide initial insights into how different geographic areas of an ecotone, with different environmental conditions, may be impacted by mangrove forest expansion and development, and how these changes may alter the supply of specific ecosystem goods and services. This file includes the subplot-level porewater physicochemical data.\nThis work was conducted via a collaborative effort between scientists at the U.S. Geological Survey National Wetland Research Center and the Department of Biology of the University of Louisiana at Lafayette.", + "fn": "Climate Adaptation Science Centers", + "hasEmail": "mailto:casc-data@usgs.gov" + }, + "description": "Cold-induced mortality is a key factor driving mountain pine beetle, Dendroctonus ponderosae, population dynamics. In this species, the supercooling point (SCP) is representative of mortality induced by acute cold exposure. Mountain pine beetle SCP and associated cold-induced mortality fluctuate throughout a generation, with the highest SCPs prior to and following winter. Using observed SCPs of field-collected D. ponderosae larvae throughout the developmental season and associated phloem temperatures, we developed a mechanistic model that describes the SCP distribution of a population as a function of daily changes in the temperature-dependent processes leading to gain and loss of cold tolerance. It is based on the changing proportion of individuals in three states: (1) a non cold-hardened, feeding state, (2) an intermediate state in which insects have ceased feeding, voided their gut content and eliminated as many ice-nucleating agents as possible from the body, and (3) a fully cold-hardened state where insects have accumulated a maximum concentration of cryoprotectants (e.g. glycerol). Shifts in the proportion of individuals in each state occur in response to the driving variables influencing the opposite rates of gain and loss of cold hardening. The level of cold-induced mortality predicted by the model and its relation to extreme winter temperature is in good agreement with a range of field and laboratory observations. Our model predicts that cold tolerance of D. ponderosae varies within a season, among seasons, and among geographic locations depending on local climate. This variability is an emergent property of the model, and has important implications for understanding the insect's response to seasonal fluctuations in temperature, as well as population response to climate change. Because cold-induced mortality is but one of several major influences of climate on D. ponderosae population dynamics, we suggest that this model be integrated with others simulating the insect's biology.", "distribution": [ { "@type": "dcat:Distribution", - "accessURL": "https://doi.org/10.5066/P1GDTXUR", + "accessURL": "https://doi.org/10.5066/P1BIZ9OI", "description": "Landing page for access to the data", "format": "XML", "mediaType": "application/http", @@ -528,71 +512,71 @@ { "@type": "dcat:Distribution", "description": "The metadata original format", - "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.545cfd67e4b0ba8303f713b3.xml", + "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.57474116e4b07e28b663d884.xml", "format": "XML", "mediaType": "text/xml", "title": "Original Metadata" } ], - "identifier": "http://datainventory.doi.gov/id/dataset/USGS_545cfd67e4b0ba8303f713b3", - "keyword": [ - "Cedar Key", - "Gulf of Mexico", - "Port Aransas", - "Port Fourchon", - "State of Florida", - "State of Louisiana", - "State of Texas", - "USGS:545cfd67e4b0ba8303f713b3", - "United States of America", - "conductivity", - "environment", - "pH", - "porewater", - "salinity", - "soil", - "temperature" - ], - "modified": "2026-09-22T00:00:00Z", + "identifier": "http://datainventory.doi.gov/id/dataset/USGS_57474116e4b07e28b663d884", + "keyword": [ + "Cold hardiness", + "Cold resistance", + "Cold tolerance", + "Idaho", + "Model", + "Montana", + "Mountain pine beetle", + "Supercooling point", + "USGS:57474116e4b07e28b663d884", + "Washington", + "Winter mortality", + "biota", + "climate change", + "external research support", + "geospatial datasets", + "pre-SM502.8" + ], + "modified": "2026-09-25T00:00:00Z", "publisher": { "@type": "org:Organization", "name": "U.S. Geological Survey" }, - "spatial": "-97.14012, 27.829952, -83.029848, 29.2", - "theme": [ - "geospatial" - ], - "title": "Dataset 10: New porewater data collection: subplot-level physicochemical" - }, - "description": "Winter climate change has the potential to have a large impact on coastal wetlands in the southeastern U.S. Warmer winter temperatures and reductions in the intensity of freeze events would likely lead to mangrove forest range expansion and salt marsh displacement in parts of the U.S. Gulf of Mexico and Atlantic coast. The objective of this research was to better understand some of the ecological implications of mangrove forest migration and salt marsh displacement. The potential ecological effects of mangrove migration are diverse ranging from important biotic impacts (e.g., coastal fisheries, land bird migration; colonial nesting wading birds) to ecosystem stability (e.g., response to sea level rise and drought; habitat loss; coastal protection) to biogeochemical processes (e.g., carbon storage; water quality). In this research, our focus was on the impact of mangrove forest migration on coastal wetland soil processes and the consequent implications for coastal wetland responses to sea level rise, ecosystem resilience, and carbon storage. Our study specifically addressed the following questions: (1) How do ecological processes and ecosystem properties differ between salt marshes and mangrove forests; (2) As mangrove forests develop, how do their ecosystem properties change and how do these properties compare to salt marshes; (3) How do plant-soil interactions across mangrove forest structural gradients differ among three distinct locations that span the northern Gulf of Mexico; and (4) What are the implications of mangrove forest encroachment and development into salt marsh in terms of soil development, carbon and nitrogen storage, and soil strength? To address these questions, we utilized the salt marshes and natural mangrove forest structural gradients present at three distinct locations in the northern Gulf of Mexico: Cedar Key (Florida), Port Fourchon (Louisiana), and Port Aransas (Texas). Each of these locations represents a distinct combination of climate-driven abiotic conditions. We quantified relationships between plant community composition and structure, soil and porewater physicochemical properties, hydroperiod, and climatic conditions. The suite of measurements that we collected provide initial insights into how different geographic areas of an ecotone, with different environmental conditions, may be impacted by mangrove forest expansion and development, and how these changes may alter the supply of specific ecosystem goods and services. This file includes the subplot-level porewater physicochemical data.\nThis work was conducted via a collaborative effort between scientists at the U.S. Geological Survey National Wetland Research Center and the Department of Biology of the University of Louisiana at Lafayette.", + "spatial": "-125.0000, 46.5000, -114.0000, 49.0000", + "theme": [ + "geospatial" + ], + "title": "Modeling cold tolerance in the mountain pine beetle, Dendroctonus ponderosae" + }, + "description": "Cold-induced mortality is a key factor driving mountain pine beetle, Dendroctonus ponderosae, population dynamics. In this species, the supercooling point (SCP) is representative of mortality induced by acute cold exposure. Mountain pine beetle SCP and associated cold-induced mortality fluctuate throughout a generation, with the highest SCPs prior to and following winter. Using observed SCPs of field-collected D. ponderosae larvae throughout the developmental season and associated phloem temperatures, we developed a mechanistic model that describes the SCP distribution of a population as a function of daily changes in the temperature-dependent processes leading to gain and loss of cold tolerance. It is based on the changing proportion of individuals in three states: (1) a non cold-hardened, feeding state, (2) an intermediate state in which insects have ceased feeding, voided their gut content and eliminated as many ice-nucleating agents as possible from the body, and (3) a fully cold-hardened state where insects have accumulated a maximum concentration of cryoprotectants (e.g. glycerol). Shifts in the proportion of individuals in each state occur in response to the driving variables influencing the opposite rates of gain and loss of cold hardening. The level of cold-induced mortality predicted by the model and its relation to extreme winter temperature is in good agreement with a range of field and laboratory observations. Our model predicts that cold tolerance of D. ponderosae varies within a season, among seasons, and among geographic locations depending on local climate. This variability is an emergent property of the model, and has important implications for understanding the insect's response to seasonal fluctuations in temperature, as well as population response to climate change. Because cold-induced mortality is but one of several major influences of climate on D. ponderosae population dynamics, we suggest that this model be integrated with others simulating the insect's biology.", "distribution_titles": [ "Digital Data", "Original Metadata" ], - "harvest_record": "https://catalog.data.gov/harvest_record/dd14165e-9e54-4e6c-9b86-0632416be629", - "harvest_record_raw": "https://catalog.data.gov/harvest_record/dd14165e-9e54-4e6c-9b86-0632416be629/raw", + "harvest_record": "https://catalog.data.gov/harvest_record/23c3114a-ed15-41d0-b1b9-fba956e01212", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/23c3114a-ed15-41d0-b1b9-fba956e01212/raw", "has_download": true, "has_spatial": true, - "identifier": "http://datainventory.doi.gov/id/dataset/USGS_545cfd67e4b0ba8303f713b3", - "keyword": [ - "Cedar Key", - "Gulf of Mexico", - "Port Aransas", - "Port Fourchon", - "State of Florida", - "State of Louisiana", - "State of Texas", - "USGS:545cfd67e4b0ba8303f713b3", - "United States of America", - "conductivity", - "environment", - "pH", - "porewater", - "salinity", - "soil", - "temperature" - ], - "last_harvested_date": "2026-09-27T01:32:22.953705", + "identifier": "http://datainventory.doi.gov/id/dataset/USGS_57474116e4b07e28b663d884", + "keyword": [ + "Cold hardiness", + "Cold resistance", + "Cold tolerance", + "Idaho", + "Model", + "Montana", + "Mountain pine beetle", + "Supercooling point", + "USGS:57474116e4b07e28b663d884", + "Washington", + "Winter mortality", + "biota", + "climate change", + "external research support", + "geospatial datasets", + "pre-SM502.8" + ], + "last_harvested_date": "2026-09-28T01:15:50.225353", "organization": { "aliases": [ "dept" @@ -609,33 +593,33 @@ "parent_identifier": null, "popularity": 0, "publisher": "U.S. Geological Survey", - "slug": "dataset-10-new-porewater-data-collection-subplot-level-physicochemical", + "slug": "modeling-cold-tolerance-in-the-mountain-pine-beetle-dendroctonus-ponderosae", "spatial_centroid": { - "lat": 28.3779712, - "lon": -91.4960112 + "lat": 47.5, + "lon": -120.6 }, "spatial_shape": { "coordinates": [ [ [ - -97.14012, - 27.829952 - ], - [ - -97.14012, - 29.2 - ], - [ - -83.029848, - 29.2 - ], - [ - -83.029848, - 27.829952 - ], - [ - -97.14012, - 27.829952 + -125.0, + 46.5 + ], + [ + -125.0, + 49.0 + ], + [ + -114.0, + 49.0 + ], + [ + -114.0, + 46.5 + ], + [ + -125.0, + 46.5 ] ] ], @@ -644,16 +628,16 @@ "theme": [ "geospatial" ], - "title": "Dataset 10: New porewater data collection: subplot-level physicochemical", + "title": "Modeling cold tolerance in the mountain pine beetle, Dendroctonus ponderosae", "type": "dataset" }, { - "_score": 19.837894, + "_score": 29.15674, "_sort": [ - 1790472707852, - 19.837894, - 0, - "92f7c2e6-9df7-4648-b4ac-fb5207db235b" + 1790558055217, + 29.15674, + 4, + "423fc091-fe9a-4198-ba15-a156134fd8fe" ], "dcat": { "accessLevel": "public", @@ -662,14 +646,14 @@ ], "contactPoint": { "@type": "vcard:Contact", - "fn": "Peter Caldwell, PhD", - "hasEmail": "mailto:pcaldwell02@fs.fed.us" - }, - "description": "Stream flows are essential for maintaining healthy aquatic ecosystems and for supporting human water supply needs. Integrated modeling approaches assessing the impact of changes in climate, land use, and water withdrawals on stream flows and the subsequent impact of changes in flow regime on aquatic biota at multiple spatial scales are necessary to insure an adequate supply of water for humans and healthy river ecosystems. We compared streamflow predictions from a regional-scale hydrological model to those of several fine-scale SW models under a range of hypothetical climate change scenarios to determine the range of predicted streamflow responses to fixed climate perturbations.This spreadsheet contains the results of a study investigating the sensitivity of predicted discharge to changes in precipitation and temperature inputs for a coarse scale (WaSSI) and three fine scale (HSPF, SWAT, WaterFALL) hydrologic models at a single site (02347500, FLINT RIVER AT US 19, NEAR CARSONVILLE, GA) from 1981 to 1999. The objective of this study was to demonstrate the feasibility of using regional and local scale models to identify unique areas of concern and understand fine scale hydrologic dynamics under climate change. Descriptions of the models and results of the study are detailed in the final report.", + "fn": "Ethan B. Plunkett", + "hasEmail": "mailto:plunkett@eco.umass.edu" + }, + "description": "These data delineate and characterize conservation cores built for seven species based on their current 2020 Landscape Capability and future (2080) Climate Refugia, as well as the conductivity among the future and current cores. For seven species: American woodcock (amwo), Bicknell's thrush (bith), Blackburnian warbler (blbw), Box turtle (teca), Cerulean warbler (cerw), Moose (moose), and Saltmarsh sparrow (sals) we provide five distinct datasets. Species codes (in parentheses) are used in file names and represented by \"[species]\" below.\n1. A set of conservation cores that represent areas of high local, relative value to the species either in the present, the future, or both: [species]_allcores.shp\n2. Conductance among the present condition cores: [species]_conduct.tif \n3. Conductance among the future cores: [species]_conduct_futr.tif\n4. The landscape capability of the species in 2020 (an input dataset to this analysis): [species]_LC_2020_v5.1.tif\n5. The climate refugia for the species in 2080 (an input dataset to this analysis): [species]_Crefugia_2080_v5.1.tif", "distribution": [ { "@type": "dcat:Distribution", - "accessURL": "https://doi.org/10.5066/P14MMNBE", + "accessURL": "https://doi.org/10.21429/94ey-r171", "description": "Landing page for access to the data", "format": "XML", "mediaType": "application/http", @@ -678,55 +662,51 @@ { "@type": "dcat:Distribution", "description": "The metadata original format", - "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.57641394e4b07657d19ba808.xml", + "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.5d5ae337e4b01d82ce8ed143.xml", "format": "XML", "mediaType": "text/xml", "title": "Original Metadata" } ], - "identifier": "http://datainventory.doi.gov/id/dataset/USGS_57641394e4b07657d19ba808", - "keyword": [ - "ELOHA", - "USGS:57641394e4b07657d19ba808", - "calibration", - "ecosystem health", - "environmental flow", - "hydrologic models", - "uncertainty", - "water supply" - ], - "modified": "2026-09-22T00:00:00Z", + "identifier": "http://datainventory.doi.gov/id/dataset/USGS_5d5ae337e4b01d82ce8ed143", + "keyword": [ + "Climate", + "Refugia", + "USGS:5d5ae337e4b01d82ce8ed143", + "biota", + "climate change", + "geospatial datasets" + ], + "modified": "2026-09-25T00:00:00Z", "publisher": { "@type": "org:Organization", "name": "U.S. Geological Survey" }, - "spatial": "-106.645782, 17.884190, -65.220856, 40.638554", - "theme": [ - "geospatial" - ], - "title": "Regional to local coarse to fine scale global change impact study on flow" - }, - "description": "Stream flows are essential for maintaining healthy aquatic ecosystems and for supporting human water supply needs. Integrated modeling approaches assessing the impact of changes in climate, land use, and water withdrawals on stream flows and the subsequent impact of changes in flow regime on aquatic biota at multiple spatial scales are necessary to insure an adequate supply of water for humans and healthy river ecosystems. We compared streamflow predictions from a regional-scale hydrological model to those of several fine-scale SW models under a range of hypothetical climate change scenarios to determine the range of predicted streamflow responses to fixed climate perturbations.This spreadsheet contains the results of a study investigating the sensitivity of predicted discharge to changes in precipitation and temperature inputs for a coarse scale (WaSSI) and three fine scale (HSPF, SWAT, WaterFALL) hydrologic models at a single site (02347500, FLINT RIVER AT US 19, NEAR CARSONVILLE, GA) from 1981 to 1999. The objective of this study was to demonstrate the feasibility of using regional and local scale models to identify unique areas of concern and understand fine scale hydrologic dynamics under climate change. Descriptions of the models and results of the study are detailed in the final report.", + "spatial": "-83.8015, 34.4437, -65.8410, 49.4647", + "theme": [ + "geospatial" + ], + "title": "Current condition and refugia conservation cores for seven species and conductance among them." + }, + "description": "These data delineate and characterize conservation cores built for seven species based on their current 2020 Landscape Capability and future (2080) Climate Refugia, as well as the conductivity among the future and current cores. For seven species: American woodcock (amwo), Bicknell's thrush (bith), Blackburnian warbler (blbw), Box turtle (teca), Cerulean warbler (cerw), Moose (moose), and Saltmarsh sparrow (sals) we provide five distinct datasets. Species codes (in parentheses) are used in file names and represented by \"[species]\" below.\n1. A set of conservation cores that represent areas of high local, relative value to the species either in the present, the future, or both: [species]_allcores.shp\n2. Conductance among the present condition cores: [species]_conduct.tif \n3. Conductance among the future cores: [species]_conduct_futr.tif\n4. The landscape capability of the species in 2020 (an input dataset to this analysis): [species]_LC_2020_v5.1.tif\n5. The climate refugia for the species in 2080 (an input dataset to this analysis): [species]_Crefugia_2080_v5.1.tif", "distribution_titles": [ "Digital Data", "Original Metadata" ], - "harvest_record": "https://catalog.data.gov/harvest_record/ee5e8ccb-4d1c-4e7f-96dc-3ce2a85687c9", - "harvest_record_raw": "https://catalog.data.gov/harvest_record/ee5e8ccb-4d1c-4e7f-96dc-3ce2a85687c9/raw", + "harvest_record": "https://catalog.data.gov/harvest_record/2548ce7e-20de-4534-9617-a7db61e32fa4", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/2548ce7e-20de-4534-9617-a7db61e32fa4/raw", "has_download": true, "has_spatial": true, - "identifier": "http://datainventory.doi.gov/id/dataset/USGS_57641394e4b07657d19ba808", - "keyword": [ - "ELOHA", - "USGS:57641394e4b07657d19ba808", - "calibration", - "ecosystem health", - "environmental flow", - "hydrologic models", - "uncertainty", - "water supply" - ], - "last_harvested_date": "2026-09-27T01:31:47.852515", + "identifier": "http://datainventory.doi.gov/id/dataset/USGS_5d5ae337e4b01d82ce8ed143", + "keyword": [ + "Climate", + "Refugia", + "USGS:5d5ae337e4b01d82ce8ed143", + "biota", + "climate change", + "geospatial datasets" + ], + "last_harvested_date": "2026-09-28T01:14:15.217628", "organization": { "aliases": [ "dept" @@ -741,35 +721,35 @@ "slug": "doi" }, "parent_identifier": null, - "popularity": 0, + "popularity": 4, "publisher": "U.S. Geological Survey", - "slug": "regional-to-local-coarse-to-fine-scale-global-change-impact-study-on-flow", + "slug": "current-condition-and-refugia-conservation-cores-for-seven-species-and-conductance-among-t", "spatial_centroid": { - "lat": 26.985935599999998, - "lon": -90.0758116 + "lat": 40.4521, + "lon": -76.6173 }, "spatial_shape": { "coordinates": [ [ [ - -106.645782, - 17.88419 - ], - [ - -106.645782, - 40.638554 - ], - [ - -65.220856, - 40.638554 - ], - [ - -65.220856, - 17.88419 - ], - [ - -106.645782, - 17.88419 + -83.8015, + 34.4437 + ], + [ + -83.8015, + 49.4647 + ], + [ + -65.841, + 49.4647 + ], + [ + -65.841, + 34.4437 + ], + [ + -83.8015, + 34.4437 ] ] ], @@ -778,16 +758,16 @@ "theme": [ "geospatial" ], - "title": "Regional to local coarse to fine scale global change impact study on flow", + "title": "Current condition and refugia conservation cores for seven species and conductance among them.", "type": "dataset" }, { - "_score": 57.350742, + "_score": 8.5918, "_sort": [ - 1790472630452, - 57.350742, + 1790557674977, + 8.5918, 0, - "3ec0cdfe-f225-4162-a45a-4b677bcabd12" + "23a3b81c-25e7-43d4-8a7f-deaefef6723b" ], "dcat": { "accessLevel": "public", @@ -796,14 +776,14 @@ ], "contactPoint": { "@type": "vcard:Contact", - "fn": "Climate Adaptation Science Centers", - "hasEmail": "mailto:casc-data@usgs.gov" - }, - "description": "This file contains results from the project \"Assessing climate-sensitive ecosystems in the southeastern U.S.\", funded by the Department of Interior's Southeast Climate Science Center. Metrics fitting the categories of sensitivity, exposure, and adaptive capacity were calculated for twelve ecosystems in the southeastern U.S. and the Caribbean. Metrics include historic temperature and precipitation, projected future climate variables under two emissions scenarios, projected area affected by sea level rise, proportion of each under protected status, distance from developed areas, variation in elevation, and human modification.", + "fn": "Curtis M. Belyea", + "hasEmail": "mailto:cbelyea@ncsu.edu" + }, + "description": "This dataset represents the extent of urbanization (for the year indicated) predicted by the model SLEUTH, developed by Dr. Keith C. Clarke, at the University of California, Santa Barbara, Department of Geography and modified by David I. Donato of the United States Geological Survey (USGS) Eastern Geographic Science Center (EGSC). Further model modification and implementation was performed at the Biodiversity and Spatial Information Center at North Carolina State University. Purpose: Urban growth probability extents throughout the 21st century for the Southeast Regional Assessment Project, which encompasses the states of Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, Tennessee and Virginia and parts of the states of Arkansas, Illinois, Indiana, Louisiana, Maryland, Missouri, Ohio and West Virginia. Credit: Southeast Regional Assessment Project; Biodiversity and Spatial Information Center, North Carolina State University, Raleigh, North Carolina 27695, Curtis M. Belyea. Use Limitation: This data set is not intended for site-specific analyses. Interpretations derived from its use are suited for regional and planning purposes only. These data are not intended to be used at scales larger than 1:100,000. Acknowledgment of Biodiversity and Spatial Analysis Center at North Carolina State University is appreciated.", "distribution": [ { "@type": "dcat:Distribution", - "accessURL": "https://doi.org/10.5066/P13XKNSM", + "accessURL": "https://api.water.usgs.gov/gdp/pygeoapi/stac/stac-collection/serap/serap_urb", "description": "Landing page for access to the data", "format": "XML", "mediaType": "application/http", @@ -812,61 +792,77 @@ { "@type": "dcat:Distribution", "description": "The metadata original format", - "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.5440048be4b065f4ad22d2aa.xml", + "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.67780a7ed34edab7af6e2877.xml", "format": "XML", "mediaType": "text/xml", "title": "Original Metadata" } ], - "identifier": "http://datainventory.doi.gov/id/dataset/USGS_5440048be4b065f4ad22d2aa", - "keyword": [ - "Caribbean", - "Southeastern US", - "USGS:5440048be4b065f4ad22d2aa", - "biota", + "identifier": "http://datainventory.doi.gov/id/dataset/USGS_67780a7ed34edab7af6e2877", + "keyword": [ + "Alabama", + "Florida", + "Georgia", + "North Carolina", + "SLEUTH", + "South Carolina", + "Southeast US", + "USGS:67780a7ed34edab7af6e2877", + "Virginia", "climate change", - "ecosystems", - "external research support", - "habitat fragmentation", - "modeling", - "state and transition modeling", - "terrestrial ecosystems" - ], - "modified": "2026-09-22T00:00:00Z", + "climatologyMeteorologyAtmosphere", + "development", + "geospatial datasets", + "land use change", + "project Gigalopolis", + "society", + "structure", + "transportation", + "urbanization" + ], + "modified": "2026-09-25T00:00:00Z", "publisher": { "@type": "org:Organization", "name": "U.S. Geological Survey" }, - "spatial": "-91.6300, 19.2697, -67.1484, 36.6400", - "theme": [ - "geospatial" - ], - "title": "Climate sensitivity, exposure, and adaptive capacity results for twelve ecosystems in the southeastern US (2014)" - }, - "description": "This file contains results from the project \"Assessing climate-sensitive ecosystems in the southeastern U.S.\", funded by the Department of Interior's Southeast Climate Science Center. Metrics fitting the categories of sensitivity, exposure, and adaptive capacity were calculated for twelve ecosystems in the southeastern U.S. and the Caribbean. Metrics include historic temperature and precipitation, projected future climate variables under two emissions scenarios, projected area affected by sea level rise, proportion of each under protected status, distance from developed areas, variation in elevation, and human modification.", + "spatial": "-85.4825, 28.2716, -74.9808, 38.1625", + "theme": [ + "geospatial" + ], + "title": "Urban Growth Projection for Southeast Regional Assessment Project" + }, + "description": "This dataset represents the extent of urbanization (for the year indicated) predicted by the model SLEUTH, developed by Dr. Keith C. Clarke, at the University of California, Santa Barbara, Department of Geography and modified by David I. Donato of the United States Geological Survey (USGS) Eastern Geographic Science Center (EGSC). Further model modification and implementation was performed at the Biodiversity and Spatial Information Center at North Carolina State University. Purpose: Urban growth probability extents throughout the 21st century for the Southeast Regional Assessment Project, which encompasses the states of Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, Tennessee and Virginia and parts of the states of Arkansas, Illinois, Indiana, Louisiana, Maryland, Missouri, Ohio and West Virginia. Credit: Southeast Regional Assessment Project; Biodiversity and Spatial Information Center, North Carolina State University, Raleigh, North Carolina 27695, Curtis M. Belyea. Use Limitation: This data set is not intended for site-specific analyses. Interpretations derived from its use are suited for regional and planning purposes only. These data are not intended to be used at scales larger than 1:100,000. Acknowledgment of Biodiversity and Spatial Analysis Center at North Carolina State University is appreciated.", "distribution_titles": [ "Digital Data", "Original Metadata" ], - "harvest_record": "https://catalog.data.gov/harvest_record/c9e9eded-0ba8-4536-ad27-4aafe8b8a587", - "harvest_record_raw": "https://catalog.data.gov/harvest_record/c9e9eded-0ba8-4536-ad27-4aafe8b8a587/raw", + "harvest_record": "https://catalog.data.gov/harvest_record/b0828ee5-9f72-4184-9951-e127800d5e14", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/b0828ee5-9f72-4184-9951-e127800d5e14/raw", "has_download": true, "has_spatial": true, - "identifier": "http://datainventory.doi.gov/id/dataset/USGS_5440048be4b065f4ad22d2aa", - "keyword": [ - "Caribbean", - "Southeastern US", - "USGS:5440048be4b065f4ad22d2aa", - "biota", + "identifier": "http://datainventory.doi.gov/id/dataset/USGS_67780a7ed34edab7af6e2877", + "keyword": [ + "Alabama", + "Florida", + "Georgia", + "North Carolina", + "SLEUTH", + "South Carolina", + "Southeast US", + "USGS:67780a7ed34edab7af6e2877", + "Virginia", "climate change", - "ecosystems", - "external research support", - "habitat fragmentation", - "modeling", - "state and transition modeling", - "terrestrial ecosystems" - ], - "last_harvested_date": "2026-09-27T01:30:30.452526", + "climatologyMeteorologyAtmosphere", + "development", + "geospatial datasets", + "land use change", + "project Gigalopolis", + "society", + "structure", + "transportation", + "urbanization" + ], + "last_harvested_date": "2026-09-28T01:07:54.977096", "organization": { "aliases": [ "dept" @@ -883,33 +879,33 @@ "parent_identifier": null, "popularity": 0, "publisher": "U.S. Geological Survey", - "slug": "climate-sensitivity-exposure-and-adaptive-capacity-results-for-twelve-ecosystems-in-t-2014", + "slug": "urban-growth-projection-for-southeast-regional-assessment-project", "spatial_centroid": { - "lat": 26.21782, - "lon": -81.83735999999999 + "lat": 32.22796, + "lon": -81.28182000000001 }, "spatial_shape": { "coordinates": [ [ [ - -91.63, - 19.2697 - ], - [ - -91.63, - 36.64 - ], - [ - -67.1484, - 36.64 - ], - [ - -67.1484, - 19.2697 - ], - [ - -91.63, - 19.2697 + -85.4825, + 28.2716 + ], + [ + -85.4825, + 38.1625 + ], + [ + -74.9808, + 38.1625 + ], + [ + -74.9808, + 28.2716 + ], + [ + -85.4825, + 28.2716 ] ] ], @@ -918,16 +914,16 @@ "theme": [ "geospatial" ], - "title": "Climate sensitivity, exposure, and adaptive capacity results for twelve ecosystems in the southeastern US (2014)", + "title": "Urban Growth Projection for Southeast Regional Assessment Project", "type": "dataset" }, { - "_score": 9.843899, + "_score": 23.600697, "_sort": [ - 1790472541809, - 9.843899, + 1790557422184, + 23.600697, 0, - "e7655769-500a-4b07-b330-f284c30c74b1" + "3694a583-b319-4060-b613-f3748a237ea7" ], "dcat": { "accessLevel": "public", @@ -936,14 +932,14 @@ ], "contactPoint": { "@type": "vcard:Contact", - "fn": "Steven Frank", - "hasEmail": "mailto:casc-data@usgs.gov" - }, - "description": "In this study, we investigated how the interaction of urbanization, latitudinal warming, and scale insect abundance affected urban tree health. We predicted that trees in warmer, lower latitude cities would be in poorer health at lower levels of urbanization than trees at cooler, higher latitudes due to the interaction of urbanization, latitudinal temperature, and herbivory. To evaluate our predictions, we surveyed the abundance of scale insect herbivores on a single, common tree species (Acer rubrum) in eight US cities spanning 10° of latitude. We estimated urbanization at two extents, a local one that accounted for the direct effects on an individual tree, and a larger one that captured the surrounding urban landscape.", + "fn": "Ethan B. Plunkett", + "hasEmail": "mailto:plunkett@eco.umass.edu" + }, + "description": "This package contains results from the Designing Sustainable Landscapes (DSL) Species Refugia project for Blackburnian warbler. The following files are included:\n1. Raster of Landscape Capability (LC) for BLBW (Blackburnian warbler)\n2. Raster of Climate Refugia (CRefugia) for BLBW (Blackburnian warbler)\n3. Polygon shapefile of all cores for BLBW (Blackburnian warbler)\n4. Conductance among 2020 cores for BLBW (Blackburnian warbler)\n5. Conductance among 2080 cores for BLBW (Blackburnian warbler)", "distribution": [ { "@type": "dcat:Distribution", - "accessURL": "https://doi.org/10.5066/P1YDVJN2", + "accessURL": "https://landeco.umass.edu/web/lcc/dsl/refugia/species_refugia_blbw.zip", "description": "Landing page for access to the data", "format": "XML", "mediaType": "application/http", @@ -952,56 +948,81 @@ { "@type": "dcat:Distribution", "description": "The metadata original format", - "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.62b9e2d0d34e8f4977cc9f14.xml", + "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.635c164cd34ebe442504b224.xml", "format": "XML", "mediaType": "text/xml", "title": "Original Metadata" } ], - "identifier": "http://datainventory.doi.gov/id/dataset/USGS_62b9e2d0d34e8f4977cc9f14", - "keyword": [ - "USGS:62b9e2d0d34e8f4977cc9f14", - "acer rubrum", + "identifier": "http://datainventory.doi.gov/id/dataset/USGS_635c164cd34ebe442504b224", + "keyword": [ + "Connecticut", + "Delaware", + "District of Columbia", + "Maine", + "Maryland", + "Massachusetts", + "New Hampshire", + "New Jersey", + "New York", + "North America", + "Pennsylvania", + "Rhode Island", + "USGS:635c164cd34ebe442504b224", + "United States", + "Vermont", + "Virginia", + "West Virginia", "biota", - "climate", + "climate change", "environment", - "external research support", - "latitude", - "pests", - "urban heat island" - ], - "modified": "2026-09-23T00:00:00Z", + "geospatial datasets" + ], + "modified": "2026-09-25T00:00:00Z", "publisher": { "@type": "org:Organization", "name": "U.S. Geological Survey" }, - "theme": [ - "geospatial" - ], - "title": "Scale insect abundance, impervious surface proportions, and temperature data for Acer rubrum study trees" - }, - "description": "In this study, we investigated how the interaction of urbanization, latitudinal warming, and scale insect abundance affected urban tree health. We predicted that trees in warmer, lower latitude cities would be in poorer health at lower levels of urbanization than trees at cooler, higher latitudes due to the interaction of urbanization, latitudinal temperature, and herbivory. To evaluate our predictions, we surveyed the abundance of scale insect herbivores on a single, common tree species (Acer rubrum) in eight US cities spanning 10° of latitude. We estimated urbanization at two extents, a local one that accounted for the direct effects on an individual tree, and a larger one that captured the surrounding urban landscape.", + "spatial": "-83.8015, 34.4437, -65.8410, 49.4647", + "theme": [ + "geospatial" + ], + "title": "Current condition and refugia conservation cores for the Blackburnian warbler and conductance among them" + }, + "description": "This package contains results from the Designing Sustainable Landscapes (DSL) Species Refugia project for Blackburnian warbler. The following files are included:\n1. 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Integrated modeling approaches assessing the impact of changes in climate, land use, and water withdrawals on stream flows and the subsequent impact of changes in flow regime on aquatic biota at multiple spatial scales are necessary to insure an adequate supply of water for humans and healthy river ecosystems. This report inventories and then directly examines and compares a subset of hydrological models implemented in the Southeastern US that were used to estimate streamflow at a number of gaged basins across the region. This effort was designed to evaluate, quantify and compare the magnitude, and investigate the potential causes of error, associated with predicted streamflows from seven hydrologic models of varying complexity and calibration strategy. This was accomplished by computing and then comparing classical hydrologic model fit statistics (e.g., mean bias, coefficient of determination, root mean squared error, NSE), and understanding the bias in the prediction in these and a subset of ecologically relevant flow metrics (ERFM).This spreadsheet contains model fit statistics for the model comparison workshop across 195 USGS streamflow gauges in the southeast. Descriptions of the models included are detailed in the final report.", - "distribution": [ - { - "@type": "dcat:Distribution", - "accessURL": "https://doi.org/10.5066/P144OWF2", - "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.560c352be4b058f706e54119.xml", - "format": "XML", - "mediaType": "text/xml", - "title": "Original Metadata" - } - ], - "identifier": "http://datainventory.doi.gov/id/dataset/USGS_560c352be4b058f706e54119", - "keyword": [ - "ELOHA", - "USGS:560c352be4b058f706e54119", - "calibration", - "ecosystem health", - "environmental flow", - "hydrologic models", - "modeling", - "state and transition modeling", - "steam-gage measurement", - "streamflow", - "uncertainty", - "water supply", - "water supply and demand" - ], - "modified": "2026-09-22T00:00:00Z", - "publisher": { - "@type": "org:Organization", - "name": "U.S. Geological Survey" - }, - "spatial": "-106.645782, 17.884190, -65.220856, 40.638554", - "theme": [ - "geospatial" - ], - "title": "Large-scale and fine-scale model outputs for model comparison workshop" - }, - "description": "Stream flows are essential for maintaining healthy aquatic ecosystems and for supporting human water supply needs. Integrated modeling approaches assessing the impact of changes in climate, land use, and water withdrawals on stream flows and the subsequent impact of changes in flow regime on aquatic biota at multiple spatial scales are necessary to insure an adequate supply of water for humans and healthy river ecosystems. This report inventories and then directly examines and compares a subset of hydrological models implemented in the Southeastern US that were used to estimate streamflow at a number of gaged basins across the region. This effort was designed to evaluate, quantify and compare the magnitude, and investigate the potential causes of error, associated with predicted streamflows from seven hydrologic models of varying complexity and calibration strategy. This was accomplished by computing and then comparing classical hydrologic model fit statistics (e.g., mean bias, coefficient of determination, root mean squared error, NSE), and understanding the bias in the prediction in these and a subset of ecologically relevant flow metrics (ERFM).This spreadsheet contains model fit statistics for the model comparison workshop across 195 USGS streamflow gauges in the southeast. 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Dam removal is an example of a restoration tool that may offer multiple socio-economic and ecological benefits in urban streams and promote climate resilience. With the pace of dam removals increasing, practitioners and researchers are well-poised to incorporate climate change into future dam removal decisions. Therefore, we surveyed dam removal practitioners across 14 states in the eastern United States to understand current practices of dam removals, factors driving restoration decisions, and how climate change knowledge is incorporated into these decisions. We also aimed to identify barriers to and opportunities for knowledge exchange between practitioners and researchers. Of the 100 respondents, most (79%) consider climate change in their dam removal decisions to some extent. Despite this, many reported a lack of clear, relevant, and accessible data linking dam removal to climate resilience benefits. Dam removal practitioners also indicated that they most often rely on climate change information garnered from conversations with colleagues, rather than from scientific research products. These results suggest that the co-production of relevant, salient research questions and readily accessible and interpretable research products (e.g., technical summaries, open access articles) may encourage practitioners to incorporate climate change science more consistently and efficiently into dam removal decisions. These findings may also translate to other stream restoration efforts to inform knowledge exchange and improve restoration outcomes in a changing climate.", - "distribution": [ - { - "@type": "dcat:Distribution", - "accessURL": "https://doi.org/10.21429/s2pe-ww46", - "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.64386ed4d34ee8d4addf0da9.xml", - "format": "XML", - "mediaType": "text/xml", - "title": "Original Metadata" - } - ], - "identifier": "http://datainventory.doi.gov/id/dataset/USGS_64386ed4d34ee8d4addf0da9", - "keyword": [ - "USGS:64386ed4d34ee8d4addf0da9", - "biota", - "climate change", - "dam removal", - "practitioner survey", - "social sciences" - ], - "modified": "2026-09-23T00:00:00Z", - "publisher": { - "@type": "org:Organization", - "name": "U.S. Geological Survey" - }, - "spatial": "-89.5100, 36.4972, -66.9504, 47.4582", - "theme": [ - "geospatial" - ], - "title": "Dam removal practitioner perspectives on incorporating climate change into dam removal decisions in the eastern United States" - }, - "description": "Incorporating climate change into conservation and restoration decisions is increasingly important for natural resource managers and restoration practitioners. Dam removal is an example of a restoration tool that may offer multiple socio-economic and ecological benefits in urban streams and promote climate resilience. With the pace of dam removals increasing, practitioners and researchers are well-poised to incorporate climate change into future dam removal decisions. Therefore, we surveyed dam removal practitioners across 14 states in the eastern United States to understand current practices of dam removals, factors driving restoration decisions, and how climate change knowledge is incorporated into these decisions. We also aimed to identify barriers to and opportunities for knowledge exchange between practitioners and researchers. Of the 100 respondents, most (79%) consider climate change in their dam removal decisions to some extent. Despite this, many reported a lack of clear, relevant, and accessible data linking dam removal to climate resilience benefits. Dam removal practitioners also indicated that they most often rely on climate change information garnered from conversations with colleagues, rather than from scientific research products. These results suggest that the co-production of relevant, salient research questions and readily accessible and interpretable research products (e.g., technical summaries, open access articles) may encourage practitioners to incorporate climate change science more consistently and efficiently into dam removal decisions. These findings may also translate to other stream restoration efforts to inform knowledge exchange and improve restoration outcomes in a changing climate.", - "distribution_titles": [ - "Digital Data", - "Original Metadata" - ], - "harvest_record": "https://catalog.data.gov/harvest_record/aaef907e-2801-45c0-b46c-0bb513d7b152", - "harvest_record_raw": "https://catalog.data.gov/harvest_record/aaef907e-2801-45c0-b46c-0bb513d7b152/raw", - "has_download": true, - "has_spatial": true, - "identifier": "http://datainventory.doi.gov/id/dataset/USGS_64386ed4d34ee8d4addf0da9", - "keyword": [ - "USGS:64386ed4d34ee8d4addf0da9", - "biota", - "climate change", - "dam removal", - "practitioner survey", - "social sciences" - ], - "last_harvested_date": "2026-09-27T01:24:10.673243", - "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": "dam-removal-practitioner-perspectives-on-incorporating-climate-change-into-dam-removal-dec", - "spatial_centroid": { - "lat": 40.8816, - "lon": -80.48616000000001 - }, - "spatial_shape": { - "coordinates": [ - [ - [ - -89.51, - 36.4972 - ], - [ - -89.51, - 47.4582 - ], - [ - -66.9504, - 47.4582 - ], - [ - -66.9504, - 36.4972 - ], - [ - -89.51, - 36.4972 - ] - ] - ], - "type": "Polygon" - }, - "theme": [ - "geospatial" - ], - "title": "Dam removal practitioner perspectives on incorporating climate change into dam removal decisions in the eastern United States", - "type": "dataset" - }, - { - "_score": 49.58316, - "_sort": [ - 1790472243298, - 49.58316, - 2, - "cdcbbcfa-d134-491d-8f23-328f407f54ad" - ], - "dcat": { - "accessLevel": "public", - "bureauCode": [ - "010:12" - ], - "contactPoint": { - "@type": "vcard:Contact", - "fn": "James W. Cain", - "hasEmail": "mailto:jwcain@usgs.gov" - }, - "description": "Natural selection may result in local adaptation to different environmental conditions across the range of a species. Understanding local adaptation, in turn, informs management decisions such as translocation to restore locally-extinct populations. We used a landscape genomics approach to detect genetic signatures of selection related to climatic variation among desert bighorn sheep populations across their indigenous range in the western United States. This approach allowed us to investigate broad patterns of both neutral and adaptive genetic variation across very different environments. Analyses suggested that ancestry and isolation by distance were the most significant forces driving genetic variation in desert bighorn sheep, but that climate was associated with at least 1 locus (i.e., location on the genome) under directional selection. 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": "2026-09-21T00:00:00Z", - "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. Understanding local adaptation, in turn, informs management decisions such as translocation to restore locally-extinct populations. We used a landscape genomics approach to detect genetic signatures of selection related to climatic variation among desert bighorn sheep populations across their indigenous range in the western United States. This approach allowed us to investigate broad patterns of both neutral and adaptive genetic variation across very different environments. Analyses suggested that ancestry and isolation by distance were the most significant forces driving genetic variation in desert bighorn sheep, but that climate was associated with at least 1 locus (i.e., location on the genome) under directional selection. 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_titles": [ - "Digital Data", - "Original Metadata" - ], - "harvest_record": "https://catalog.data.gov/harvest_record/4fd6cad0-e91d-4129-a8ff-b204c3b84692", - "harvest_record_raw": "https://catalog.data.gov/harvest_record/4fd6cad0-e91d-4129-a8ff-b204c3b84692/raw", - "has_download": true, - "has_spatial": true, - "identifier": "http://datainventory.doi.gov/id/dataset/USGS_5c1a995be4b0708288c59a87", - "keyword": [ - "Arizona", - "California", - "Genetic capacity", - "Nevada", - "USGS:5c1a995be4b0708288c59a87", - "biota", - "desert bighorn sheep" - ], - "last_harvested_date": "2026-09-27T01:24:03.298995", - "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": "evaluating-adaptive-capacity-of-desert-bighorn-sheep-to-climate-change-identifying-genetic-bc686", - "spatial_centroid": { - "lat": 34.69, - "lon": -116.078 - }, - "spatial_shape": { - "coordinates": [ - [ - [ - -118.33, - 32.51 - ], - [ - -118.33, - 37.96 - ], - [ - -112.7, - 37.96 - ], - [ - -112.7, - 32.51 - ], - [ - -118.33, - 32.51 - ] - ] - ], - "type": "Polygon" - }, - "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", - "type": "dataset" - }, - { - "_score": 57.38884, - "_sort": [ - 1790472045922, - 57.38884, - 0, - "6329f712-6a1c-4bb4-bd30-d734ece1fc3e" - ], - "dcat": { - "accessLevel": "public", - "bureauCode": [ - "010:12" - ], - "contactPoint": { - "@type": "vcard:Contact", - "fn": "Climate Adaptation Science Centers", - "hasEmail": "mailto:casc-data@usgs.gov" - }, - "description": "This file contains results from the project \"Assessing climate-sensitive ecosystems in the southeastern U.S.\", funded by the Department of Interior's Southeast Climate Science Center. Metrics required to use the Habitat Climate Change Vulnerability Index (HCCVI) framework, as developed by NatureServe are reported in this spreadsheet. 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The suite of measurements that we collected provide initial insights into how different geographic areas of an ecotone, with different environmental conditions, may be impacted by mangrove forest expansion and development, and how these changes may alter the supply of specific ecosystem goods and services. \nThis file includes the individual-level short tree stratum vegetation data.\nThis work was conducted via a collaborative effort between scientists at the U.S. Geological Survey National Wetland Research Center and the Department of Biology of the University of Louisiana at Lafayette.", + "spatial": "-83.8015, 34.4437, -65.8410, 49.4647", + "theme": [ + "geospatial" + ], + "title": "Current condition and refugia conservation cores for Bicknell's thrush and conductance among them" + }, + "description": "This package contains results from the Designing Sustainable Landscapes (DSL) Species Refugia project for Bicknell's thrush. The following files are included:\n1.Raster of Landscape Capability (LC) for BITH (Bicknell's thrush)\n2. Raster of Climate Refugia (CRefugia) for BITH (Bicknell's thrush)\n3.Polygon shapefile of all cores for BITH (Bicknell's thrush)\n4. Conductance among 2020 cores for BITH (Bicknell's thrush)\n5. Conductance among 2080 cores for BITH (Bicknell's thrush)", "distribution_titles": [ "Digital Data", "Original Metadata" ], - "harvest_record": "https://catalog.data.gov/harvest_record/b7d55b64-cfba-4505-80b3-9961a8be1103", - "harvest_record_raw": "https://catalog.data.gov/harvest_record/b7d55b64-cfba-4505-80b3-9961a8be1103/raw", + "harvest_record": "https://catalog.data.gov/harvest_record/26e959c1-bd3e-45ef-9094-51a0a0ea0525", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/26e959c1-bd3e-45ef-9094-51a0a0ea0525/raw", "has_download": true, "has_spatial": true, - "identifier": "http://datainventory.doi.gov/id/dataset/USGS_545bfe0fe4b009f8aec9b6fe", - "keyword": [ - "Cedar Key", - "Gulf of Mexico", - "Port Aransas", - "Port Fourchon", - "State of Florida", - "State of Louisiana", - "State of Texas", - "USGS:545bfe0fe4b009f8aec9b6fe", - "United States of America", + "identifier": "http://datainventory.doi.gov/id/dataset/USGS_635c1283d34ebe442504b1f7", + "keyword": [ + "Connecticut", + "Delaware", + "District of Columbia", + "Maine", + "Maryland", + "Massachusetts", + "New Hampshire", + "New Jersey", + "New York", + "North America", + "Pennsylvania", + "Rhode Island", + "USGS:635c1283d34ebe442504b1f7", + "United States", + "Vermont", + "Virginia", + "West Virginia", + "biota", + "climate change", "environment", - "vegetation" - ], - "last_harvested_date": "2026-09-27T01:05:03.561650", + "geospatial datasets" + ], + "last_harvested_date": "2026-09-28T00:53:58.462648", "organization": { "aliases": [ "dept" @@ -3380,22 +1387,51 @@ "parent_identifier": null, "popularity": 0, "publisher": "U.S. Geological Survey", - "slug": "dataset-4-new-vegetation-data-collection-individual-level-short-tree-stratum", - "spatial_centroid": null, - "spatial_shape": null, - "theme": [ - "geospatial" - ], - "title": "Dataset 4: New vegetation data collection: individual-level short tree stratum", + "slug": "current-condition-and-refugia-conservation-cores-for-bicknells-thrush-and-conductance-amon", + "spatial_centroid": { + "lat": 40.4521, + "lon": -76.6173 + }, + "spatial_shape": { + "coordinates": [ + [ + [ + -83.8015, + 34.4437 + ], + [ + -83.8015, + 49.4647 + ], + [ + -65.841, + 49.4647 + ], + [ + -65.841, + 34.4437 + ], + [ + -83.8015, + 34.4437 + ] + ] + ], + "type": "Polygon" + }, + "theme": [ + "geospatial" + ], + "title": "Current condition and refugia conservation cores for Bicknell's thrush and conductance among them", "type": "dataset" }, { - "_score": 10.413092, + "_score": 5.923483, "_sort": [ - 1790470891818, - 10.413092, + 1790556504941, + 5.923483, 0, - "efc721ec-c9db-451d-a3f1-d3308818daa8" + "a2a80797-3aad-4f87-a5eb-3e02fa9b9135" ], "dcat": { "accessLevel": "public", @@ -3404,14 +1440,14 @@ ], "contactPoint": { "@type": "vcard:Contact", - "fn": "Ralph W Tingley", - "hasEmail": "mailto:rtingley@usgs.gov" - }, - "description": "These data represent current and projected mid- and late-century adult walleye presence/absence in inland lakes of Wisconsin, USA. These data were generated using a suite of landscape and thermal predictor variables and data from walleye electrofishing surveys. Data are represented as probabilities (range 0-1) of presence/absence during each time period (current, mid-century and late-century). Data were generated using a random forest approach. The final model contained nine variables: lake area, maximum depth, mean coefficient of variation of surface temperature from 30-60 days post ice off, growing degree days (base 5 °C), conductivity, proportion developed shoreline, mean coefficient of variation of surface temperature from 0-30 days post ice off, lake order, and the upstream probability of adult walleye in the connected river system. Lake area was the most influential predictor variable (measured by variable importance).", + "fn": "OBIS-USA data manager", + "hasEmail": "mailto:csas@usgs.gov" + }, + "description": "These data include species occurrence records of fish in oceans within 1000 kilometers of the United States shoreline. This dataset is a subset of the OBIS-USA dataset as of December 2, 2014 and includes records of the taxonomic groups of Actinopterygii, Chondrichthyes, Myxini, Osteichthyes, and Petromyzontida. After initial taxonomic queries, the remaining data were further queried to retain only samples within 1000 kilometers of the U.S. shoreline. Spatial queries were then used to remove samples overlaying land masses. Data are provided in a geodatabase format, as well as a comma seperated values format. \nOBIS-USA provides aggregated, interoperable biogeographic data collected primarily from U.S. waters and oceanic regions--the Arctic, the Atlantic and Pacific oceans, the Caribbean Sea, Gulf of Mexico and the Great Lakes. It provides access to datasets from state and federal agencies as well as educational and research institutions. OBIS-USA handles both specimen-based data and survey results. Survey data come from recovered archives and current research activities. The datasets document where and when species were observed or collected, bringing together marine biogeographic data that are spatially, taxonomically, and temporally comprehensive. The public OBIS-USA site (http://www.usgs.gov/obis-usa) provides actual data contents as well as summary data about what is contained in each dataset to assist users in evaluating suitability for use. Current functionality allows the user to locate, view, and aggregate the datasets and FGDC compliant metadata as well as to view and search the taxonomic, geographic, and temporal extent. To promote data interoperability, the data are available in accordance with the marine-focused implementation of the Darwin Core data standard. In addition to basic download functions (tab-delimited), OBIS-USA offers web services for query flexibility and a wide range of output formats, such as kml, NetCDF, MATLAB, json, and graph or map output, to enable diverse types of scientific and geospatial data use and analysis platforms and products. OBIS-USA's two web services (ERDDAP and GeoServer) enable integration of OBIS-USA biogeographic data with other data types, such as seafloor geology, physical oceanography, water chemistry, and climate data. The NOAA Environmental Research Division Data Access Program(ERRDDAP) enables users to query scientific data by flexible parameters and obtain output in many formats. Access can be found at http://www1.usgs.gov/erddap/tabledap/AllMBG.html. OBIS-USA uses the tabledap component of ERDDAP to access Darwin-Core-type tabular spatial data; tabledap is a superset of the OPeNDAP DAP constraint protocol. OBIS-USA offers an ESRI REST Service with access to Darwin-Core-type point data at http://gis1.usgs.gov/arcgis/rest/services/OBISUSA/OBIS_USA_All_Marine_Biogeographic_Records/MapServer/ and an OGC compliant Web Mapping Service (wms) \nhttp://gis1.usgs.gov/arcgis/services/OBISUSA/OBIS_USA_All_Marine_Biogeographic_Records/MapServer/WMSServer?request=GetCapabilities&service=WMS. \nOBIS-USA and collaborators are further deploying the Darwin Core standard to capture richer information, such as absence and abundance, observations on effort, individual tracking, and more advanced biogeography capabilities. Data are accepted into OBIS-USA from the data originator or holder, minimizing the burden on the participant. OBIS-USA works with data providers to understand the best process to transfer the data, review the data prior to their release, gather comprehensive metadata, and then allow public access to this information. Becoming part of the OBIS-USA network is intended to have tangible benefits for participants, for example, freeing the participant from responding to requests for data and alleviating security concerns since users do not directly access the participant's computers.", "distribution": [ { "@type": "dcat:Distribution", - "accessURL": "https://doi.org/10.5066/P9ZLM6UK", + "accessURL": "https://doi.org/10.5066/F7H41PGK", "description": "Landing page for access to the data", "format": "XML", "mediaType": "application/http", @@ -3420,55 +1456,95 @@ { "@type": "dcat:Distribution", "description": "The metadata original format", - "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.646ed5a7d34e4e58932cf829.xml", + "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.5395d79be4b0b4b172cbe6c7.xml", "format": "XML", "mediaType": "text/xml", "title": "Original Metadata" } ], - "identifier": "http://datainventory.doi.gov/id/dataset/USGS_646ed5a7d34e4e58932cf829", - "keyword": [ - "Midwest", - "USGS:646ed5a7d34e4e58932cf829", - "Wisconsin", - "biota", - "climate change", - "environment", - "farming", - "fisheries" - ], - "modified": "2026-09-24T00:00:00Z", + "identifier": "http://datainventory.doi.gov/id/dataset/USGS_5395d79be4b0b4b172cbe6c7", + "keyword": [ + "Abundance (organisms)", + "Anadromous species", + "Aquatic animals", + "Aquatic environments", + "Aquatic habitats", + "Arctic Ocean", + "Atlantic Ocean", + "Biocomplexity", + "Biodiversity", + "Caribbean Sea", + "Catadromous species", + "Fishery management", + "Gulf of Maine", + "Gulf of Mexico", + "Marine ecosystems", + "Marine fishes", + "North America", + "OBIS", + "Ocean Biogeographic Information System", + "Pacific Ocean", + "Puget Sound", + "South Atlantic Bight", + "USGS:5395d79be4b0b4b172cbe6c7", + "United States", + "benthic habitat", + "biogeography", + "coastal habitat", + "reef habitat" + ], + "modified": "2026-09-25T00:00:00Z", "publisher": { "@type": "org:Organization", "name": "U.S. Geological Survey" }, - "spatial": "-92.8894, 42.4721, -86.7700, 46.7700", - "theme": [ - "geospatial" - ], - "title": "Current and projected mid- and late-century walleye presence/absence in inland lakes of Wisconsin, USA" - }, - "description": "These data represent current and projected mid- and late-century adult walleye presence/absence in inland lakes of Wisconsin, USA. These data were generated using a suite of landscape and thermal predictor variables and data from walleye electrofishing surveys. Data are represented as probabilities (range 0-1) of presence/absence during each time period (current, mid-century and late-century). Data were generated using a random forest approach. The final model contained nine variables: lake area, maximum depth, mean coefficient of variation of surface temperature from 30-60 days post ice off, growing degree days (base 5 °C), conductivity, proportion developed shoreline, mean coefficient of variation of surface temperature from 0-30 days post ice off, lake order, and the upstream probability of adult walleye in the connected river system. Lake area was the most influential predictor variable (measured by variable importance).", + "spatial": "-179.99667, 10.6, 179.9935, 75.51", + "theme": [ + "geospatial" + ], + "title": "Fish Subset of Ocean Biogeographic Information System (OBIS) - USA Dataset Collection for NFHP Thematic Viewer 20141202" + }, + "description": "These data include species occurrence records of fish in oceans within 1000 kilometers of the United States shoreline. This dataset is a subset of the OBIS-USA dataset as of December 2, 2014 and includes records of the taxonomic groups of Actinopterygii, Chondrichthyes, Myxini, Osteichthyes, and Petromyzontida. After initial taxonomic queries, the remaining data were further queried to retain only samples within 1000 kilometers of the U.S. shoreline. Spatial queries were then used to remove samples overlaying land masses. Data are provided in a geodatabase format, as well as a comma seperated values format. \nOBIS-USA provides aggregated, interoperable biogeographic data collected primarily from U.S. waters and oceanic regions--the Arctic, the Atlantic and Pacific oceans, the Caribbean Sea, Gulf of Mexico and the Great Lakes. It provides access to datasets from state and federal agencies as well as educational and research institutions. OBIS-USA handles both specimen-based data and survey results. Survey data come from recovered archives and current research activities. The datasets document where and when species were observed or collected, bringing together marine biogeographic data that are spatially, taxonomically, and temporally comprehensive. The public OBIS-USA site (http://www.usgs.gov/obis-usa) provides actual data contents as well as summary data about what is contained in each dataset to assist users in evaluating suitability for use. Current functionality allows the user to locate, view, and aggregate the datasets and FGDC compliant metadata as well as to view and search the taxonomic, geographic, and temporal extent. To promote data interoperability, the data are available in accordance with the marine-focused implementation of the Darwin Core data standard. In addition to basic download functions (tab-delimited), OBIS-USA offers web services for query flexibility and a wide range of output formats, such as kml, NetCDF, MATLAB, json, and graph or map output, to enable diverse types of scientific and geospatial data use and analysis platforms and products. OBIS-USA's two web services (ERDDAP and GeoServer) enable integration of OBIS-USA biogeographic data with other data types, such as seafloor geology, physical oceanography, water chemistry, and climate data. The NOAA Environmental Research Division Data Access Program(ERRDDAP) enables users to query scientific data by flexible parameters and obtain output in many formats. Access can be found at http://www1.usgs.gov/erddap/tabledap/AllMBG.html. OBIS-USA uses the tabledap component of ERDDAP to access Darwin-Core-type tabular spatial data; tabledap is a superset of the OPeNDAP DAP constraint protocol. OBIS-USA offers an ESRI REST Service with access to Darwin-Core-type point data at http://gis1.usgs.gov/arcgis/rest/services/OBISUSA/OBIS_USA_All_Marine_Biogeographic_Records/MapServer/ and an OGC compliant Web Mapping Service (wms) \nhttp://gis1.usgs.gov/arcgis/services/OBISUSA/OBIS_USA_All_Marine_Biogeographic_Records/MapServer/WMSServer?request=GetCapabilities&service=WMS. \nOBIS-USA and collaborators are further deploying the Darwin Core standard to capture richer information, such as absence and abundance, observations on effort, individual tracking, and more advanced biogeography capabilities. Data are accepted into OBIS-USA from the data originator or holder, minimizing the burden on the participant. OBIS-USA works with data providers to understand the best process to transfer the data, review the data prior to their release, gather comprehensive metadata, and then allow public access to this information. Becoming part of the OBIS-USA network is intended to have tangible benefits for participants, for example, freeing the participant from responding to requests for data and alleviating security concerns since users do not directly access the participant's computers.", "distribution_titles": [ "Digital Data", "Original Metadata" ], - "harvest_record": "https://catalog.data.gov/harvest_record/56361739-3ef0-48d4-a448-5e6a0bb5f5a1", - "harvest_record_raw": "https://catalog.data.gov/harvest_record/56361739-3ef0-48d4-a448-5e6a0bb5f5a1/raw", + "harvest_record": "https://catalog.data.gov/harvest_record/acb6cd2d-abf5-4a93-b28d-109ab3a803a4", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/acb6cd2d-abf5-4a93-b28d-109ab3a803a4/raw", "has_download": true, "has_spatial": true, - "identifier": "http://datainventory.doi.gov/id/dataset/USGS_646ed5a7d34e4e58932cf829", - "keyword": [ - "Midwest", - "USGS:646ed5a7d34e4e58932cf829", - "Wisconsin", - "biota", - "climate change", - "environment", - "farming", - "fisheries" - ], - "last_harvested_date": "2026-09-27T01:01:31.818256", + "identifier": "http://datainventory.doi.gov/id/dataset/USGS_5395d79be4b0b4b172cbe6c7", + "keyword": [ + "Abundance (organisms)", + "Anadromous species", + "Aquatic animals", + "Aquatic environments", + "Aquatic habitats", + "Arctic Ocean", + "Atlantic Ocean", + "Biocomplexity", + "Biodiversity", + "Caribbean Sea", + "Catadromous species", + "Fishery management", + "Gulf of Maine", + "Gulf of Mexico", + "Marine ecosystems", + "Marine fishes", + "North America", + "OBIS", + "Ocean Biogeographic Information System", + "Pacific Ocean", + "Puget Sound", + "South Atlantic Bight", + "USGS:5395d79be4b0b4b172cbe6c7", + "United States", + "benthic habitat", + "biogeography", + "coastal habitat", + "reef habitat" + ], + "last_harvested_date": "2026-09-28T00:48:24.941935", "organization": { "aliases": [ "dept" @@ -3485,33 +1561,33 @@ "parent_identifier": null, "popularity": 0, "publisher": "U.S. Geological Survey", - "slug": "current-and-projected-mid-and-late-century-walleye-presence-absence-in-inland-lakes-of-wis-0453d", + "slug": "fish-subset-of-ocean-biogeographic-information-system-obis-usa-dataset-collection-for-nfhp", "spatial_centroid": { - "lat": 44.19126, - "lon": -90.44163999999999 + "lat": 36.56400000000001, + "lon": -36.00060199999999 }, "spatial_shape": { "coordinates": [ [ [ - -92.8894, - 42.4721 - ], - [ - -92.8894, - 46.77 - ], - [ - -86.77, - 46.77 - ], - [ - -86.77, - 42.4721 - ], - [ - -92.8894, - 42.4721 + -179.99667, + 10.6 + ], + [ + -179.99667, + 75.51 + ], + [ + 179.9935, + 75.51 + ], + [ + 179.9935, + 10.6 + ], + [ + -179.99667, + 10.6 ] ] ], @@ -3520,16 +1596,16 @@ "theme": [ "geospatial" ], - "title": "Current and projected mid- and late-century walleye presence/absence in inland lakes of Wisconsin, USA", + "title": "Fish Subset of Ocean Biogeographic Information System (OBIS) - USA Dataset Collection for NFHP Thematic Viewer 20141202", "type": "dataset" }, { - "_score": 29.252394, + "_score": 23.600697, "_sort": [ - 1790470866583, - 29.252394, + 1790556469504, + 23.600697, 0, - "8ba3b909-4729-4bf2-b377-e196ee659b00" + "9fc7e6bd-f6b0-4f70-832e-0db303867a24" ], "dcat": { "accessLevel": "public", @@ -3538,14 +1614,14 @@ ], "contactPoint": { "@type": "vcard:Contact", - "fn": "Cody Hudson", - "hasEmail": "mailto:chudson@intera.com" - }, - "description": "Daily streamflow and reservoir water elevation data for modeled locations in the Red River Basin. Values reported are for 18 different GCM (Global Climate Model) / RCP (Representative Concentration Pathway) / GDM Downscaling scenarios. Climate data from each scenario was input into a Variable Infiltration Capacity (VIC) model, that output flow values. These values were then input into RiverWare, to determine the impacts on regulated flows, lake levels and water availability. RiverWare was used for this project, because of its ability to simulate water use, reservoir operations, and local/interstate regulations.", + "fn": "Ethan B. Plunkett", + "hasEmail": "mailto:plunkett@eco.umass.edu" + }, + "description": "This package contains results from the Designing Sustainable Landscapes (DSL) Species Refugia project for Cerulean warbler. The following files are included:\n1. Raster of Landscape Capability (LC) for CERW (Cerulean warbler)\n2. Raster of Climate Refugia (CRefugia) for CERW (Cerulean warbler)\n3. Polygon shapefile of all cores for CERW (Cerulean warbler)\n4. Conductance among 2020 cores for CERW (Cerulean warbler)\n5. Conductance among 2080 cores for CERW (Cerulean warbler)", "distribution": [ { "@type": "dcat:Distribution", - "accessURL": "https://doi.org/10.21429/C91599", + "accessURL": "https://landeco.umass.edu/web/lcc/dsl/refugia/species_refugia_cerw.zip", "description": "Landing page for access to the data", "format": "XML", "mediaType": "application/http", @@ -3554,53 +1630,81 @@ { "@type": "dcat:Distribution", "description": "The metadata original format", - "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.57d6e56be4b090824ff87b97.xml", + "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.636a7c23d34ed907bf6a68ec.xml", "format": "XML", "mediaType": "text/xml", "title": "Original Metadata" } ], - "identifier": "http://datainventory.doi.gov/id/dataset/USGS_57d6e56be4b090824ff87b97", - "keyword": [ - "Arkansas", - "Climate Change", - "Red River", - "RiverWare", - "USGS:57d6e56be4b090824ff87b97", - "Water Availability", - "environment" - ], - "modified": "2026-09-23T00:00:00Z", + "identifier": "http://datainventory.doi.gov/id/dataset/USGS_636a7c23d34ed907bf6a68ec", + "keyword": [ + "Connecticut", + "Delaware", + "District of Columbia", + "Maine", + "Maryland", + "Massachusetts", + "New Hampshire", + "New Jersey", + "New York", + "North America", + "Pennsylvania", + "Rhode Island", + "USGS:636a7c23d34ed907bf6a68ec", + "United States", + "Vermont", + "Virginia", + "West Virginia", + "biota", + "climate change", + "environment", + "geospatial datasets" + ], + "modified": "2026-09-25T00:00:00Z", "publisher": { "@type": "org:Organization", "name": "U.S. Geological Survey" }, - "spatial": "-94.3838, 33.0127, -91.4403, 34.6279", - "theme": [ - "geospatial" - ], - "title": "RiverWare Daily Simulated values of Streamflow from 2006-2099: Arkansas" - }, - "description": "Daily streamflow and reservoir water elevation data for modeled locations in the Red River Basin. Values reported are for 18 different GCM (Global Climate Model) / RCP (Representative Concentration Pathway) / GDM Downscaling scenarios. Climate data from each scenario was input into a Variable Infiltration Capacity (VIC) model, that output flow values. These values were then input into RiverWare, to determine the impacts on regulated flows, lake levels and water availability. RiverWare was used for this project, because of its ability to simulate water use, reservoir operations, and local/interstate regulations.", + "spatial": "-83.8015, 34.4437, -65.8410, 49.4647", + "theme": [ + "geospatial" + ], + "title": "Current condition and refugia conservation cores for the Cerulean warbler and conductance among them" + }, + "description": "This package contains results from the Designing Sustainable Landscapes (DSL) Species Refugia project for Cerulean warbler. The following files are included:\n1. Raster of Landscape Capability (LC) for CERW (Cerulean warbler)\n2. Raster of Climate Refugia (CRefugia) for CERW (Cerulean warbler)\n3. Polygon shapefile of all cores for CERW (Cerulean warbler)\n4. Conductance among 2020 cores for CERW (Cerulean warbler)\n5. 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This dataset contains results from a study examining the potential impacts of projected climatic change on prescribed burning in the southeastern United States. A set of burn window criteria (suitable weather conditions within which burning may occur based on maximum daily temperature, daily average relative humidity, and daily average wind speed), were applied to projections from an ensemble of Global Climate Models (GCM) under two greenhouse gas emission scenarios, as well as past observations for comparison. Data are provided as decadal output for observed conditions, and for individual GCM results for the historical climate scenario and the two future climate scenarios are provided. In addition, summary statistics (e.g., multi-model mean, and for selected quantiles) are provided for the GCM ensemble as a whole by decade.", + "fn": "OBIS-USA data manager", + "hasEmail": "mailto:csas@usgs.gov" + }, + "description": "Species occurrence records of the taxonomic class of Bivalvia in oceans within 1000 kilometers of the United States shoreline. This is a subset of the OBIS-USA dataset where Bivalvia records were queried on December 2, 2014. After initial queries, the remaining data were further queried to retain only samples within 1000 kilometers of the U.S. shoreline. Spatial queries were then used to remove samples overlaying land masses. Data are provided in a geodatabase format, as well as a comma seperated values format. \nOBIS-USA provides aggregated, interoperable biogeographic data collected primarily from U.S. waters and oceanic regions--the Arctic, the Atlantic and Pacific oceans, the Caribbean Sea, Gulf of Mexico and the Great Lakes. It provides access to datasets from state and federal agencies as well as educational and research institutions. OBIS-USA handles both specimen-based data and survey results. Survey data come from recovered archives and current research activities. The datasets document where and when species were observed or collected, bringing together marine biogeographic data that are spatially, taxonomically, and temporally comprehensive. The public OBIS-USA site (http://www.usgs.gov/obis-usa) provides actual data contents as well as summary data about what is contained in each dataset to assist users in evaluating suitability for use. Current functionality allows the user to locate, view, and aggregate the datasets and FGDC compliant metadata as well as to view and search the taxonomic, geographic, and temporal extent. To promote data interoperability, the data are available in accordance with the marine-focused implementation of the Darwin Core data standard. In addition to basic download functions (tab-delimited), OBIS-USA offers web services for query flexibility and a wide range of output formats, such as kml, NetCDF, MATLAB, json, and graph or map output, to enable diverse types of scientific and geospatial data use and analysis platforms and products. OBIS-USA's two web services (ERDDAP and GeoServer) enable integration of OBIS-USA biogeographic data with other data types, such as seafloor geology, physical oceanography, water chemistry, and climate data. The NOAA Environmental Research Division Data Access Program(ERRDDAP) enables users to query scientific data by flexible parameters and obtain output in many formats. Access can be found at http://www1.usgs.gov/erddap/tabledap/AllMBG.html. OBIS-USA uses the tabledap component of ERDDAP to access Darwin-Core-type tabular spatial data; tabledap is a superset of the OPeNDAP DAP constraint protocol. OBIS-USA offers an ESRI REST Service with access to Darwin-Core-type point data at http://gis1.usgs.gov/arcgis/rest/services/OBISUSA/OBIS_USA_All_Marine_Biogeographic_Records/MapServer/ and an OGC compliant Web Mapping Service (wms) \nhttp://gis1.usgs.gov/arcgis/services/OBISUSA/OBIS_USA_All_Marine_Biogeographic_Records/MapServer/WMSServer?request=GetCapabilities&service=WMS. \nOBIS-USA and collaborators are further deploying the Darwin Core standard to capture richer information, such as absence and abundance, observations on effort, individual tracking, and more advanced biogeography capabilities. Data are accepted into OBIS-USA from the data originator or holder, minimizing the burden on the participant. OBIS-USA works with data providers to understand the best process to transfer the data, review the data prior to their release, gather comprehensive metadata, and then allow public access to this information. 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The datasets document where and when species were observed or collected, bringing together marine biogeographic data that are spatially, taxonomically, and temporally comprehensive. The public OBIS-USA site (http://www.usgs.gov/obis-usa) provides actual data contents as well as summary data about what is contained in each dataset to assist users in evaluating suitability for use. Current functionality allows the user to locate, view, and aggregate the datasets and FGDC compliant metadata as well as to view and search the taxonomic, geographic, and temporal extent. To promote data interoperability, the data are available in accordance with the marine-focused implementation of the Darwin Core data standard. In addition to basic download functions (tab-delimited), OBIS-USA offers web services for query flexibility and a wide range of output formats, such as kml, NetCDF, MATLAB, json, and graph or map output, to enable diverse types of scientific and geospatial data use and analysis platforms and products. OBIS-USA's two web services (ERDDAP and GeoServer) enable integration of OBIS-USA biogeographic data with other data types, such as seafloor geology, physical oceanography, water chemistry, and climate data. The NOAA Environmental Research Division Data Access Program(ERRDDAP) enables users to query scientific data by flexible parameters and obtain output in many formats. Access can be found at http://www1.usgs.gov/erddap/tabledap/AllMBG.html. OBIS-USA uses the tabledap component of ERDDAP to access Darwin-Core-type tabular spatial data; tabledap is a superset of the OPeNDAP DAP constraint protocol. OBIS-USA offers an ESRI REST Service with access to Darwin-Core-type point data at http://gis1.usgs.gov/arcgis/rest/services/OBISUSA/OBIS_USA_All_Marine_Biogeographic_Records/MapServer/ and an OGC compliant Web Mapping Service (wms) \nhttp://gis1.usgs.gov/arcgis/services/OBISUSA/OBIS_USA_All_Marine_Biogeographic_Records/MapServer/WMSServer?request=GetCapabilities&service=WMS. \nOBIS-USA and collaborators are further deploying the Darwin Core standard to capture richer information, such as absence and abundance, observations on effort, individual tracking, and more advanced biogeography capabilities. Data are accepted into OBIS-USA from the data originator or holder, minimizing the burden on the participant. OBIS-USA works with data providers to understand the best process to transfer the data, review the data prior to their release, gather comprehensive metadata, and then allow public access to this information. 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This vulnerability presents a challenge to land managers who must prioritize areas for conservation and management under changing environmental conditions. Montane spruce-fir forests in New England illustrate this challenge. Forests of Abies balsamea and Picea rubra are predicted to shrink in size and recede to higher elevations as temperatures increase. Warm-adapted species from lower elevations are predicted to expand upward, changing valuable habitat. The goal of this project was to forecast future spruce-fir forest extent using the landscape model LANDIS-II and the ecosystem models PnET-II and Linkages under a combination of four global circulation model projections and two representative concentration pathways (RCP 4.5 and 8.5 from CMIP5) for the Green Mountains National Forest (GMNF) in Vermont, USA. In this work we tested whether spruce-fir forest extent shrinks as expected and identified where spruce-fir persists as potential climate refugia for conservation. The success of our models depended on the use of detailed forest composition maps (30 m cells) and climate data that was downscaled to fine spatial resolutions (800 m cells), as montane forests are locally rare and the environmental conditions that drive their distribution are averaged out at coarser resolutions. Fine-scale landscape simulations successfully identified potential climate refugia for montane spruce-fir forests. Researchers on this project worked with members of the U.S. Forest Service, the U.S. National Forests, and other agencies to create realistic simulations that best prioritize areas for conservation and future management.", + "distribution": [ + { + "@type": "dcat:Distribution", + "accessURL": "https://doi.org/10.5066/P13HFH68", + "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.5a5d1935e4b06e28e9bcd276.xml", + "format": "XML", + "mediaType": "text/xml", + "title": "Original Metadata" + } + ], + "identifier": "http://datainventory.doi.gov/id/dataset/USGS_5a5d1935e4b06e28e9bcd276", + "keyword": [ + "Green Mountains National Forest", + "USGS:5a5d1935e4b06e28e9bcd276", + "Vermont", + "biota", + "ecological processes", + "environment", + "natural resource management" + ], + "modified": "2026-09-25T00:00:00Z", + "publisher": { + "@type": "org:Organization", + "name": "U.S. Geological Survey" + }, + "spatial": "-73.3324, 42.6975, -72.6485, 44.2107", + "theme": [ + "geospatial" + ], + "title": "Forecast Changes in Forest Dominance Class in the Green Mountains National Forest VT Under Different Climate Change Projections" + }, + "description": "Montane forests and the species that live in them are vulnerable to climate change. This vulnerability presents a challenge to land managers who must prioritize areas for conservation and management under changing environmental conditions. Montane spruce-fir forests in New England illustrate this challenge. Forests of Abies balsamea and Picea rubra are predicted to shrink in size and recede to higher elevations as temperatures increase. Warm-adapted species from lower elevations are predicted to expand upward, changing valuable habitat. The goal of this project was to forecast future spruce-fir forest extent using the landscape model LANDIS-II and the ecosystem models PnET-II and Linkages under a combination of four global circulation model projections and two representative concentration pathways (RCP 4.5 and 8.5 from CMIP5) for the Green Mountains National Forest (GMNF) in Vermont, USA. In this work we tested whether spruce-fir forest extent shrinks as expected and identified where spruce-fir persists as potential climate refugia for conservation. The success of our models depended on the use of detailed forest composition maps (30 m cells) and climate data that was downscaled to fine spatial resolutions (800 m cells), as montane forests are locally rare and the environmental conditions that drive their distribution are averaged out at coarser resolutions. Fine-scale landscape simulations successfully identified potential climate refugia for montane spruce-fir forests. Researchers on this project worked with members of the U.S. Forest Service, the U.S. National Forests, and other agencies to create realistic simulations that best prioritize areas for conservation and future management.", + "distribution_titles": [ + "Digital Data", + "Original Metadata" + ], + "harvest_record": "https://catalog.data.gov/harvest_record/8ce514e9-340e-454e-b650-6fddfb8c782b", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/8ce514e9-340e-454e-b650-6fddfb8c782b/raw", + "has_download": true, + "has_spatial": true, + "identifier": "http://datainventory.doi.gov/id/dataset/USGS_5a5d1935e4b06e28e9bcd276", + "keyword": [ + "Green Mountains National Forest", + "USGS:5a5d1935e4b06e28e9bcd276", + "Vermont", + "biota", + "ecological processes", + "environment", + "natural resource management" + ], + "last_harvested_date": "2026-09-28T00:42:42.931424", + "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": "forecast-changes-in-forest-dominance-class-in-the-green-mountains-national-forest-vt-under-67447", + "spatial_centroid": { + "lat": 43.30278, + "lon": -73.05884 + }, + "spatial_shape": { + "coordinates": [ + [ + [ + -73.3324, + 42.6975 + ], + [ + -73.3324, + 44.2107 + ], + [ + -72.6485, + 44.2107 + ], + [ + -72.6485, + 42.6975 + ], + [ + -73.3324, + 42.6975 + ] + ] + ], + "type": "Polygon" + }, + "theme": [ + "geospatial" + ], + "title": "Forecast Changes in Forest Dominance Class in the Green Mountains National Forest VT Under Different Climate Change Projections", + "type": "dataset" + }, + { + "_score": 23.600697, + "_sort": [ + 1790556062247, + 23.600697, + 0, + "b7b18799-43b8-417b-8940-7194d82706bc" + ], + "dcat": { + "accessLevel": "public", + "bureauCode": [ + "010:12" + ], + "contactPoint": { + "@type": "vcard:Contact", + "fn": "Ethan Plunkett", + "hasEmail": "mailto:eplunkett@eco.umass.edu" + }, + "description": "This package contains results from the Designing Sustainable Landscapes (DSL) Species Refugia project for American woodcock. 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We used linear models to determine the extent of phenological shifts in adult alewife (Alosa pseudoharengus) as they migrated from ocean to freshwater environments during spring to spawn at 12 sites along the northeast U.S. We also evaluated broad-scale oceanic and atmospheric drivers that trigger their movements from offshore to inland habitats including sea surface temperature (SST), North Atlantic Oscillation index, and Gulf Stream Index.", + "distribution_titles": [ + "Digital Data", + "Original Metadata" + ], + "harvest_record": "https://catalog.data.gov/harvest_record/0598692b-4286-437e-ab30-d90a520ecf8b", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/0598692b-4286-437e-ab30-d90a520ecf8b/raw", + "has_download": true, + "has_spatial": true, + "identifier": "http://datainventory.doi.gov/id/dataset/USGS_63d421cbd34e06fef150ea59", + "keyword": [ + "Massachusetts", + "Massachusetts River", + "USGS:63d421cbd34e06fef150ea59", + "climate change", + "fish", + "migration (organisms)", + "phenology" + ], + "last_harvested_date": "2026-09-28T00:04:56.384192", + "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": "massachusetts-river-herring-daily-counts-and-environmental-data", + "spatial_centroid": { + "lat": 41.88104, + "lon": -71.12548 + }, + "spatial_shape": { + "coordinates": [ + [ + [ + -72.1362, + 40.9716 + ], + [ + -72.1362, + 43.2452 + ], + [ + -69.6094, + 43.2452 + ], + [ + -69.6094, + 40.9716 + ], + [ + -72.1362, + 40.9716 + ] + ] + ], + "type": "Polygon" + }, + "theme": [ + "geospatial" + ], + "title": "Massachusetts River Herring Daily Counts and Environmental data", + "type": "dataset" + }, + { + "_score": 28.688984, + "_sort": [ + 1790541449941, + 28.688984, + 0, + "bf3a3305-4a6e-4f66-b568-f18bfd6eedaf" + ], + "dcat": { + "@type": "dcat:Dataset", + "accessLevel": "public", + "contactPoint": { + "@type": "vcard:Contact", + "fn": "USEPA", + "hasEmail": "mailto:comeleo.randy@epa.gov" + }, + "describedByType": "application/octet-stream", + "description": "Originators: US Environmental Protection Agency Publisher: US EPA Office of Research & Development (ORD) - National Health and Environmental Effects Research Laboratory (NHEERL) Publication place: Corvallis, OR Publication date: Time Period of Data: 1900-2010; Projected data for 2041-2070. Data location: GeoPlatform (\"https://www.geoplatform.gov/\") and EPA Environmental Dataset Gateway (https://edg.epa.gov/). Abstract: We apply the hydrologic landscapes (HL) concept to assess the hydrologic vulnerability of the western United States (U.S.) to projected climate conditions. Our goal is to understand the potential impacts for stakeholder-defined interests across large geographic areas. The basic assumption of the HL approach is that catchments that share similar physical and climatic characteristics are expected to have similar hydrologic characteristics. We map climate vulnerability by integrating the HL approach into a retrospective analysis of historical data to assess variability in future climate projections and hydrology, which includes temperature, precipitation, potential evapotranspiration, snow accumulation, climatic moisture, surplus water, and seasonality of water surplus. Projections that are not within two-standard deviations of the historical decadal average contribute to the vulnerability index for each metric. The resulting vulnerability maps show that temperature and potential evapotranspiration are consistently projected to have high vulnerability indices for the western U.S. Precipitation vulnerability is not as spatially-uniform as temperature. The highest elevation areas with snow are projected to experience significant changes in snow accumulation. The seasonality vulnerability map shows that specific mountainous areas in the West are most prone to changes in seasonality, whereas many transitional terrains are moderately susceptible. This paper illustrates how the HL approach can help assess climatic and hydrologic vulnerability across large spatial scales. By combining the HL concept and climate vulnerability analyses, we provide a planning approach that could allow resource managers to consider how future climate conditions may impact important economic and conservation resources. Purpose: These data were created in support of the US EPA’s ACE CIVA 2.3, Task Project (QAPP: E-WED-0030854). However, these climate data and hydrologic landscape summaries should have broad applicability for hydrological, geomorphic, or ecological modeling, management, and restoration. This raster contains the modeled change in the average Feddema Moisture Index between the 2041-2070 modeled data (specified in the title) relative to the 1971-2000 Normal period.", + "distribution": [], + "identifier": "https://edg.epa.gov/WAFer_harvest/ISO/ord-geo-repository_WdF_inmcm4.tif.xml", + "issued": "2020-01-10T00:00:00.000+00:00", + "keyword": [ + "Arizona", + "California", + "Idaho", + "Nevada", + "Oregon", + "Washington", + "Climate", + "Environment", + "Ground Water", + "Natural Resources", + "Water", + "020:094", + "Downloadable Data" + ], + "language": [], + "license": "https://creativecommons.org/publicdomain/zero/1.0/", + "modified": "2020-01-10T00:00:00.000+00:00", + "publisher": { + "@type": "org:Organization", + "name": "USEPA" + }, + "spatial": "-108.071872,29.335308,-127.854174,50.664713", + "temporal": "1971-01-01T00:00:00+00:00/2010-12-31T00:00:00+00:00", + "theme": [ + "geospatial" + ], + "title": "Modeled change in the average Feddema Moisture Index (multiplied by 1000) between the modeled 2041-2070 period (INM-CM4 r1i1p1 model) and the 1971-2000 Normal period." + }, + "description": "Originators: US Environmental Protection Agency Publisher: US EPA Office of Research & Development (ORD) - National Health and Environmental Effects Research Laboratory (NHEERL) Publication place: Corvallis, OR Publication date: Time Period of Data: 1900-2010; Projected data for 2041-2070. Data location: GeoPlatform (\"https://www.geoplatform.gov/\") and EPA Environmental Dataset Gateway (https://edg.epa.gov/). Abstract: We apply the hydrologic landscapes (HL) concept to assess the hydrologic vulnerability of the western United States (U.S.) to projected climate conditions. Our goal is to understand the potential impacts for stakeholder-defined interests across large geographic areas. The basic assumption of the HL approach is that catchments that share similar physical and climatic characteristics are expected to have similar hydrologic characteristics. We map climate vulnerability by integrating the HL approach into a retrospective analysis of historical data to assess variability in future climate projections and hydrology, which includes temperature, precipitation, potential evapotranspiration, snow accumulation, climatic moisture, surplus water, and seasonality of water surplus. Projections that are not within two-standard deviations of the historical decadal average contribute to the vulnerability index for each metric. The resulting vulnerability maps show that temperature and potential evapotranspiration are consistently projected to have high vulnerability indices for the western U.S. Precipitation vulnerability is not as spatially-uniform as temperature. The highest elevation areas with snow are projected to experience significant changes in snow accumulation. The seasonality vulnerability map shows that specific mountainous