Timeline / Data.gov — Environment Datasets

changed Source changed

A new raw object was archived. Both versions are preserved. 4926 line(s) added, 4664 line(s) removed.

Evidence

What changed derived

This diff is not evidence. It was produced by civic-memory.diff_engine 1.1.0 at 2026-09-13T00:27:16+00:00 by normalizing the two archived objects above. The objects are authoritative; this reading of them can be regenerated or deleted without loss. 4926 line(s) added, 4664 line(s) removed.

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+ "x-ray fluorescence"
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  "modified": "2026-09-09T00:00:00Z",
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- "spatial": "-117.049289, 41.894474, -108.528169, 49.005950",
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- "title": "Potential climate change impacts on shrub connectivity in the U.S. Northern Rockies"
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- "description": "Establishing connections among natural landscapes is the most frequently recommended strategy for adapting management of natural resources in response to climate change. The U.S. Northern Rockies still support a full suite of native wildlife, and survival of these populations depends on connected landscapes. Connected landscapes support current migration and dispersal as well as future shifts in species ranges that will be necessary for species to adapt to our changing climate. Working in partnership with state and federal resource managers and private land trusts, we sought to: 1) understand how future climate change may alter habitat composition of landscapes expected to serve as important connections for wildlife, 2) estimate how wildlife species of concern are expected to respond to these changes, 3) develop climate-smart strategies to help stakeholders manage public and private lands in ways that allow wildlife to continue to move in response to changing conditions, and 4) explore how well existing management plans and conservation efforts are expected to support crucial connections for wildlife under climate change. We assessed vulnerability of eight wildlife species and four biomes to climate change, with a focus on potential impacts to connectivity. Our assessment provides some insights about where these species and biomes may be most vulnerable or most resilient to loss of connectivity and how this information could support climate-smart management action. We also encountered high levels of uncertainty in how climate change is expected to alter vegetation and how wildlife are expected to respond to these changes. This uncertainty limits the value of our assessment for informing proactive management of climate change impacts on both species-specific and biome-level connectivity (although biome-level assessments were subject to fewer sources of uncertainty). We offer suggestions for improving the management relevance of future studies based on our own insights and those of managers and biologists who participated in this assessment and provided critical review of this report.",
+ "spatial": "-124.046882, -3.272100, 162.250000, 46.740893",
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- "harvest_record_raw": "https://catalog.data.gov/harvest_record/19953783-ec84-48cb-8bf3-740f691b7b24/raw",
+ "harvest_record": "https://catalog.data.gov/harvest_record/962387db-1f89-46af-8568-05755446c5c0",
+ "harvest_record_raw": "https://catalog.data.gov/harvest_record/962387db-1f89-46af-8568-05755446c5c0/raw",
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- "Connectivity",
- "Environment and Conservation",
- "Idaho",
- "Montana",
- "Rocky Mountains",
- "USGS:5867e1a1e4b0cd2dabe7c76c",
+ "identifier": "http://datainventory.doi.gov/id/dataset/USGS_e51b16f7-3c8c-48e0-8f95-8533934535b8",
+ "keyword": [
+ "Alabama",
+ "Atlantic",
+ "Bahamas, the",
+ "Belize",
+ "Brazil",
+ "CTD measurement",
+ "Caribbean Sea",
+ "China",
+ "Florida",
+ "Georgia",
+ "Gulf of America",
+ "Gulf of Mexico",
+ "Honduras",
+ "Louisiana",
+ "Marshall Islands",
+ "Maryland",
+ "Mexico",
+ "Mississippi",
+ "New Jersey",
+ "New Mexico",
+ "New York",
+ "Pacific Ocean",
+ "Philippines",
+ "Puerto Rico",
+ "Texas",
+ "Turks and Caicos Islands",
+ "USGS:e51b16f7-3c8c-48e0-8f95-8533934535b8",
  "United States",
- "Wyoming",
- "climate change",
+ "Virgin Islands of the United States",
+ "Virginia",
+ "Washington",
+ "age estimation methods",
+ "atomic emission spectroscopy",
+ "augering",
+ "bedrock",
+ "benthic",
+ "biota",
+ "box coring",
+ "bulk density",
+ "carbon isotope analysis",
+ "carbon-14 analysis",
+ "chemical analysis",
+ "contamination and pollution",
+ "coral",
+ "coral reef",
+ "core analysis",
+ "cores",
+ "drilling and coring",
  "environment",
- "natural resource management",
- "shrubland ecosystems"
- ],
- "last_harvested_date": "2026-09-12T00:19:52.353348",
+ "faunal and floral census (microscopic)",
+ "field sampling",
+ "geolocation measurement",
+ "geology",
+ "geoscientificInformation",
+ "grab sampling",
+ "grain-size analysis",
+ "information technology methods",
+ "isotopic analysis",
+ "laboratory methods",
+ "light stable isotope analysis",
+ "limestone",
+ "luminescence dating",
+ "magnetic susceptibility",
+ "marine geology",
+ "mass spectroscopy",
+ "oceans",
+ "paleomagnetic analysis",
+ "permeability",
+ "photography",
+ "piston coring",
+ "porosity",
+ "protists",
+ "push coring",
+ "radiometric dating",
+ "rotary drilling",
+ "salinity",
+ "sample repositories",
+ "samples",
+ "sea surface temperature",
+ "sediment",
+ "soil sciences",
+ "stratigraphy",
+ "subsampling",
+ "subsurface",
+ "surface",
+ "tomography",
+ "vibracoring",
+ "water chemistry",
+ "water quality",
+ "x-ray diffraction",
+ "x-ray fluorescence"
+ ],
+ "last_harvested_date": "2026-09-13T00:19:18.290170",
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- "slug": "potential-climate-change-impacts-on-shrub-connectivity-in-the-u-s-northern-rockies",
+ "slug": "st-petersburg-coastal-and-marine-science-centers-geologic-core-and-sample-database-metadat",
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- "title": "Potential climate change impacts on shrub connectivity in the U.S. Northern Rockies",
+ "title": "St. Petersburg Coastal and Marine Science Center's Geologic Core and Sample Database Metadata",
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+ "fn": "USGS EROS Center",
+ "hasEmail": "mailto:custserv@usgs.gov"
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+ "description": "This dataset provides operational satellite-based drought monitoring and 7-day precipitation forecasting outputs for nine study locations across four western Pacific Island nations: the Federated States of Micronesia (FSM), the Republic of the Marshall Islands, the Republic of Nauru, and the Solomon Islands. Two complementary components are included. The first is a monthly drought monitoring record derived from NASA Integrated Multi-satellitE Retrievals for Global Precipitation Mission (IMERG) Early Run data, spanning January 2000 through February 2026. For each location and each month, the dataset reports observed monthly precipitation, the 25-year climatological median, rolling 1-, 3-, and 6-month cumulative precipitation, quintile-based Rainfall Index classifications (Drier, Dry, Typical, Wet, or Wetter), and Pacific ENSO (El Niño–Southern Oscillation) Applications Climate Center (PEAC) absolute threshold categories. The second component comprises outputs from an automated 7-day precipitation forecasting pipeline driven by NOAA Global Forecast System (GFS) GRIB2 model output at 0.25-degree spatial resolution. For each operational forecast run, the dataset includes daily precipitation forecasts (mm) for all nine study locations, site-specific bar chart graphics, georeferenced animated GIF sequences, combined multi-site visualizations, and processing logs. Forecast alert thresholds of 50 mm per day and 200 mm per 7-day period are applied to identify high-precipitation events. In addition to the data outputs, the dataset includes the complete R scripts used for data acquisition, processing, analysis, and visualization for both components, enabling reproducibility and direct reuse of the operational pipeline. Both components were developed to support evidence-based water resource management and infrastructure planning under the Asian Development Bank project \"Strengthening Resilient and Sustainable Urban and Water Service Delivery in the Pacific.\"",
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- "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.6a6a4f591ba49b514a7fe171.xml",
+ "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.69f8f726b66b014d9c576c9c.xml",
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- "climate change",
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- "damage index",
- "day of last freeze in the spring",
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+ "identifier": "http://datainventory.doi.gov/id/dataset/USGS_69f8f726b66b014d9c576c9c",
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+ "ENSO",
+ "Federated States of Micronesia",
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+ "Republic of Nauru",
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+ "Solomon Islands",
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+ "drought monitoring",
+ "droughts",
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- "geospatial datasets",
- "late false spring",
- "late false spring exposure index",
- "phenology",
- "spring phenology"
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- "modified": "2026-09-09T00:00:00Z",
+ "floods",
+ "geoscientificInformation",
+ "groundwater",
+ "hazard preparedness",
+ "numerical weather prediction",
+ "precipitation (atmospheric)",
+ "precipitation forecasting",
+ "quintile classification",
+ "rainfall index",
+ "remote sensing",
+ "surface water (non-marine)",
+ "water security",
+ "western Pacific Island Nations"
+ ],
+ "modified": "2026-09-10T00:00:00Z",
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- "harvest_record_raw": "https://catalog.data.gov/harvest_record/7ab5bbc6-78e5-47c0-a6a2-b43bfba6ee3e/raw",
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- "day of last freeze in the spring",
- "early false spring",
- "early false spring exposure index",
+ "identifier": "http://datainventory.doi.gov/id/dataset/USGS_69f8f726b66b014d9c576c9c",
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+ "Federated States of Micronesia",
+ "IMERG",
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+ "Micronesia",
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+ "PEAC threshold",
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+ "Solomon Islands",
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+ "geoscientificInformation",
+ "groundwater",
+ "hazard preparedness",
+ "numerical weather prediction",
+ "precipitation (atmospheric)",
+ "precipitation forecasting",
+ "quintile classification",
+ "rainfall index",
+ "remote sensing",
+ "surface water (non-marine)",
+ "water security",
+ "western Pacific Island Nations"
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+ "slug": "drought-monitoring-and-7-day-precipitation-forecasting-for-western-pacific-nations-from-20",
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- "title": "Historical and Future Projections of Spring Phenology and False Springs in the South Central United States (1981 - 2099)",
+ "title": "Drought Monitoring and 7-Day Precipitation Forecasting for western Pacific Nations from 2000–2026",
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- "description": "This geospatial data set contains an interpolated 3-D surface or, triangulated-irregular network (TIN), of \nthe change in elevation, in feet, of the substrate between cross-sections 22 and 35 following construction \nof Emergent Sandbar Habitat near River Mile 770. The surface was generated from points collected by \nthe echosounder and real-time kinematic (RTK) GPS on cross-sections in the downstream project reach \nsurrounding the construction area at River Mile 770 below Gavins Point Dam on the Missouri River in \nSouth Dakota before and after construction of the sandbar.",
- "distribution_titles": [
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@@ -1806,10 +1138,182 @@
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+ "hasEmail": "mailto:custserv@usgs.gov"
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+ "distribution": [
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+ "accessURL": "https://doi.org/10.5066/P1RXUMV3",
+ "description": "Landing page for access to the data",
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+ "environment",
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+ "informal settlements",
+ "land use",
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- "description": "An existing three-dimensional model (MODFLOW-2000) by Fine, Petkewich, and Campbell (2017) \n(https://doi.org/10.3133/sir20175128) was used to evaluate 7 water-management scenarios and \npredict the effects on the groundwater flow and groundwater-level conditions in the Mount Pleasant, \nSouth Carolina area. This model was originally developed in 2007, by Petkewich and Campbell \n(https://pubs.er.usgs.gov/publication/sir20075126), then updated and recalibrated to conditions \nfrom 1900 to 2015. Results of six previous scenario simulations (scenarios 1-6) for the Mount \nPleasant Water Works are published in a U.S. Geological Survey (USGS) Scientific Investigations \nReport (https://doi.org/10.3133/sir20175128). The archived model input and output files are available \nin a USGS data release (https://doi.org/10.5066/F7S181FC). \n\t\t\nSeven additional MODFLOW-2000 scenarios (numbered 7-13), using this updated and recalibrated \nmodel, were developed to evaluate different withdrawal strategies which are included in this data \nrelease: (7) Mount Pleasant Waterworks bringing online a new well (located at the old well 5 location) \nat 3.51 million gallons per day (Mgal/d) in 2025; (8) Maximizing withdrawals from Mount Pleasant \nWaterworks wells 2 and 5 (3.51 Mgal/d each) in 2020 and 2025, respectively; (9) Same as Scenario \n7, but removing well 3 from production in 2025; (10) Same as Scenario 9, but removing well 4 from \nproduction in 2025 (11) Same as Scenario 7, but converting well 3 to an injection well in 2025 (12) \nSame as Scenario 11, but converting well 4 to an injection well in 2030; and (13) Same as scenario \n8, but with two injection wells added (one in 2025 and one in 2035) to Mount Pleasant Waterworks \nwell field. Nine alternate simulations for scenarios 11-13 (three MODFLOW and six MODPATH) \nwere done to evaluate the effects of different porosity on the groundwater flow system, water levels, \nand the time-of-travel of particles from injection wells to the main water source. This USGS data \nrelease contains all the input and output files for the simulations described above and in the \nreadme.txt file of this data release (https://doi.org/10.5066/P9GZEE4E).",
+ "description": "An existing three-dimensional model (MODFLOW-2000) by Fine, Petkewich, and Campbell (2017) (https://doi.org/10.3133/sir20175128) was used to evaluate 7 water-management scenarios and predict the effects on the groundwater flow and groundwater-level conditions in the Mount Pleasant, South Carolina area. This model was originally developed in 2007, by Petkewich and Campbell (https://pubs.usgs.gov/publication/sir20075126), then updated and recalibrated to conditions from 1900 to 2015. Results of six previous scenario simulations (scenarios 1-6) for the Mount Pleasant Water Works are published in a U.S. Geological Survey (USGS) Scientific Investigations Report (https://doi.org/10.3133/sir20175128). The archived model input and output files are available in a USGS data release (https://doi.org/10.5066/F7S181FC). Seven additional MODFLOW-2000 scenarios (numbered 7-13), using this updated and recalibrated model, were developed to evaluate different withdrawal strategies which are included in this data release: (7) Mount Pleasant Waterworks bringing online a new well (located at the old well 5 location) at 3.51 million gallons per day (Mgal/d) in 2025; (8) Maximizing withdrawals from Mount Pleasant Waterworks wells 2 and 5 (3.51 Mgal/d each) in 2020 and 2025, respectively; (9) Same as Scenario 7, but removing well 3 from production in 2025; (10) Same as Scenario 9, but removing well 4 from production in 2025 (11) Same as Scenario 7, but converting well 3 to an injection well in 2025 (12) Same as Scenario 11, but converting well 4 to an injection well in 2030; and (13) Same as scenario 8, but with two injection wells added (one in 2025 and one in 2035) to Mount Pleasant Waterworks well field. Nine alternate simulations for scenarios 11-13 (three MODFLOW and six MODPATH) were done to evaluate the effects of different porosity on the groundwater flow system, water levels, and the time-of-travel of particles from injection wells to the main water source. This USGS data release contains all the input and output files for the simulations described above and in the readme.txt file of this data release (https://doi.org/10.5066/P9GZEE4E).\n",
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@@ -1845,24 +1349,24 @@
  "inlandWaters",
  "usgsgroundwatermodel"
  ],
- "modified": "2020-11-17T00:00:00Z",
+ "modified": "2024-10-15T00:00:00Z",
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  "name": "U.S. Geological Survey"
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+ "spatial": "-83.7864, 29.9235, -76.2895, 35.8812",
  "theme": [
  "geospatial"
  ],
  "title": "MODFLOW-2000 and MODPATH model data sets used in scenarios of groundwater flow and pumping (1900-2500) near Mount Pleasant, South Carolina"
  },
- "description": "An existing three-dimensional model (MODFLOW-2000) by Fine, Petkewich, and Campbell (2017) \n(https://doi.org/10.3133/sir20175128) was used to evaluate 7 water-management scenarios and \npredict the effects on the groundwater flow and groundwater-level conditions in the Mount Pleasant, \nSouth Carolina area. This model was originally developed in 2007, by Petkewich and Campbell \n(https://pubs.er.usgs.gov/publication/sir20075126), then updated and recalibrated to conditions \nfrom 1900 to 2015. Results of six previous scenario simulations (scenarios 1-6) for the Mount \nPleasant Water Works are published in a U.S. Geological Survey (USGS) Scientific Investigations \nReport (https://doi.org/10.3133/sir20175128). The archived model input and output files are available \nin a USGS data release (https://doi.org/10.5066/F7S181FC). \n\t\t\nSeven additional MODFLOW-2000 scenarios (numbered 7-13), using this updated and recalibrated \nmodel, were developed to evaluate different withdrawal strategies which are included in this data \nrelease: (7) Mount Pleasant Waterworks bringing online a new well (located at the old well 5 location) \nat 3.51 million gallons per day (Mgal/d) in 2025; (8) Maximizing withdrawals from Mount Pleasant \nWaterworks wells 2 and 5 (3.51 Mgal/d each) in 2020 and 2025, respectively; (9) Same as Scenario \n7, but removing well 3 from production in 2025; (10) Same as Scenario 9, but removing well 4 from \nproduction in 2025 (11) Same as Scenario 7, but converting well 3 to an injection well in 2025 (12) \nSame as Scenario 11, but converting well 4 to an injection well in 2030; and (13) Same as scenario \n8, but with two injection wells added (one in 2025 and one in 2035) to Mount Pleasant Waterworks \nwell field. Nine alternate simulations for scenarios 11-13 (three MODFLOW and six MODPATH) \nwere done to evaluate the effects of different porosity on the groundwater flow system, water levels, \nand the time-of-travel of particles from injection wells to the main water source. This USGS data \nrelease contains all the input and output files for the simulations described above and in the \nreadme.txt file of this data release (https://doi.org/10.5066/P9GZEE4E).",
+ "description": "An existing three-dimensional model (MODFLOW-2000) by Fine, Petkewich, and Campbell (2017) (https://doi.org/10.3133/sir20175128) was used to evaluate 7 water-management scenarios and predict the effects on the groundwater flow and groundwater-level conditions in the Mount Pleasant, South Carolina area. This model was originally developed in 2007, by Petkewich and Campbell (https://pubs.usgs.gov/publication/sir20075126), then updated and recalibrated to conditions from 1900 to 2015. Results of six previous scenario simulations (scenarios 1-6) for the Mount Pleasant Water Works are published in a U.S. Geological Survey (USGS) Scientific Investigations Report (https://doi.org/10.3133/sir20175128). The archived model input and output files are available in a USGS data release (https://doi.org/10.5066/F7S181FC). Seven additional MODFLOW-2000 scenarios (numbered 7-13), using this updated and recalibrated model, were developed to evaluate different withdrawal strategies which are included in this data release: (7) Mount Pleasant Waterworks bringing online a new well (located at the old well 5 location) at 3.51 million gallons per day (Mgal/d) in 2025; (8) Maximizing withdrawals from Mount Pleasant Waterworks wells 2 and 5 (3.51 Mgal/d each) in 2020 and 2025, respectively; (9) Same as Scenario 7, but removing well 3 from production in 2025; (10) Same as Scenario 9, but removing well 4 from production in 2025 (11) Same as Scenario 7, but converting well 3 to an injection well in 2025 (12) Same as Scenario 11, but converting well 4 to an injection well in 2030; and (13) Same as scenario 8, but with two injection wells added (one in 2025 and one in 2035) to Mount Pleasant Waterworks well field. Nine alternate simulations for scenarios 11-13 (three MODFLOW and six MODPATH) were done to evaluate the effects of different porosity on the groundwater flow system, water levels, and the time-of-travel of particles from injection wells to the main water source. This USGS data release contains all the input and output files for the simulations described above and in the readme.txt file of this data release (https://doi.org/10.5066/P9GZEE4E).\n",
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- "harvest_record_raw": "https://catalog.data.gov/harvest_record/fa929b55-e178-4f44-8808-4d752828b572/raw",
+ "harvest_record": "https://catalog.data.gov/harvest_record/e822a102-508d-4815-84bb-05914f9739dd",
+ "harvest_record_raw": "https://catalog.data.gov/harvest_record/e822a102-508d-4815-84bb-05914f9739dd/raw",
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  "has_spatial": true,
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@@ -1882,7 +1386,7 @@
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  "usgsgroundwatermodel"
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- "last_harvested_date": "2026-09-12T00:01:50.075402",
+ "last_harvested_date": "2026-09-13T00:02:54.206368",
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@@ -1901,31 +1405,31 @@
  "publisher": "U.S. Geological Survey",
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  "spatial_centroid": {
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+ "lat": 32.306580000000004,
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@@ -1938,12 +1442,12 @@
  "type": "dataset"
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+ "_score": 8.249219,
  "_sort": [
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  "dcat": {
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@@ -1952,14 +1456,14 @@
  ],
  "contactPoint": {
  "@type": "vcard:Contact",
- "fn": "Sharon Qi",
- "hasEmail": "mailto:slqi@usgs.gov"
- },
- "description": "These files contain information acquired from a digital dataset\nof the Conterminous United States. This dataset represents geology\nof the High Plains study region. The original dataset was presented\non a CD-ROM intended for use with ARC/INFO. The files presented here\nconsist of HPGEO--ARC/INFO export format files, hpgeology_shp--shape-\nfiles of coverages and hpgeosdts--SDTS formatted covers. The folder\nHPGEO contains amls, and color conventions for the coverages. They are\nnot necessary to display the coverages and are not included in the SDTS\nfolder or the shapefile folder. However, they are included in the ARC/\nINFO folder.",
+ "fn": "Jennifer Costanza",
+ "hasEmail": "mailto:jkcostan@ncsu.edu"
+ },
+ "description": "This data set contains links that are important to each species' habitat network. Those important links are scored based on the percent currently under protection status, projected change in climate suitability by the middle of the 21st century, and projected change in percent urbanized by the middle of the 21st century. Important links were identified from all links in the networks of each species based on their Integral Index of Connectivity (dIIC). Any links with dIIC scores > 0.9 or which connected to nodes with dIIC > 0.9 were retained here as \"important\" links.",
  "distribution": [
  {
  "@type": "dcat:Distribution",
- "accessURL": "https://water.usgs.gov/lookup/getspatial?ofr99-214_hpbedrock",
+ "accessURL": "https://doi.org/10.5066/P9HQSMCR",
  "description": "Landing page for access to the data",
  "format": "XML",
  "mediaType": "application/http",
@@ -1968,67 +1472,61 @@
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  "description": "The metadata original format",
- "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.2e68d29d-c889-4779-86e5-eb67ef920343.xml",
+ "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.59cd61f9e4b00fa06fefef6d.xml",
  "format": "XML",
  "mediaType": "text/xml",
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- "identifier": "http://datainventory.doi.gov/id/dataset/USGS_2e68d29d-c889-4779-86e5-eb67ef920343",
- "keyword": [
- "Colorado",
- "Geology",
- "High Plains",
- "Kansas",
- "Nebraska",
- "New Mexico",
- "Oklahoma",
- "South Dakota",
- "Texas",
- "USGS:2e68d29d-c889-4779-86e5-eb67ef920343",
- "Wyoming",
+ "identifier": "http://datainventory.doi.gov/id/dataset/USGS_59cd61f9e4b00fa06fefef6d",
+ "keyword": [
+ "USGS:59cd61f9e4b00fa06fefef6d",
+ "biota",
+ "boundaries",
+ "climate change",
  "environment",
- "geoscientificInformation",
- "inlandWaters"
- ],
- "modified": "2020-11-17T00:00:00Z",
+ "external research support",
+ "geospatial datasets",
+ "habitat connectivity",
+ "land use change",
+ "protection status",
+ "urbanization"
+ ],
+ "modified": "2026-09-10T00:00:00Z",
  "publisher": {
  "@type": "org:Organization",
  "name": "U.S. Geological Survey"
  },
- "spatial": "-110.0791365, 30.57689642, -93.77165271, 44.57552606",
- "theme": [
- "geospatial"
- ],
- "title": "This geospatial data set consists of the bedrock formations of the High Plains aquifer, which underlies parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming."
- },
- "description": "These files contain information acquired from a digital dataset\nof the Conterminous United States. This dataset represents geology\nof the High Plains study region. The original dataset was presented\non a CD-ROM intended for use with ARC/INFO. The files presented here\nconsist of HPGEO--ARC/INFO export format files, hpgeology_shp--shape-\nfiles of coverages and hpgeosdts--SDTS formatted covers. The folder\nHPGEO contains amls, and color conventions for the coverages. They are\nnot necessary to display the coverages and are not included in the SDTS\nfolder or the shapefile folder. However, they are included in the ARC/\nINFO folder.",
+ "spatial": "-96.9815, 25.6367, -74.9007, 40.6623",
+ "theme": [
+ "geospatial"
+ ],
+ "title": "Important habitat network links for Black bear, Rafinesque's big-eared bat, and timber rattlesnake in southeastern United States"
+ },
+ "description": "This data set contains links that are important to each species' habitat network. Those important links are scored based on the percent currently under protection status, projected change in climate suitability by the middle of the 21st century, and projected change in percent urbanized by the middle of the 21st century. Important links were identified from all links in the networks of each species based on their Integral Index of Connectivity (dIIC). Any links with dIIC scores > 0.9 or which connected to nodes with dIIC > 0.9 were retained here as \"important\" links.",
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- "harvest_record_raw": "https://catalog.data.gov/harvest_record/f30fd982-f7f4-45c1-9269-bb9054efe237/raw",
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