AndreaBozzo/ceres-open-data-index huggingface dataset:
Estimated Historical Distribution of Grassland Communities of the Southern Great Plains

The purpose of this project was to map the estimated distribution of grassland communities of the Southern Great Plains prior to Euro-American settlement. The Southern Great Plains Rapid Ecoregional Assessment (REA), under the direction of the Bureau of Land Management and the Great Plains Landscape Conservation Cooperative, includes four ecoregions: the High Plains, Central Great Plains, Southwestern Tablelands, and the Nebraska Sand Hills. The REA advisors and stakeholders determined that the mapping accuracy of available national land-cover maps was insufficient in many areas to adequately address management questions for the REA. Based on the recommendation of the REA stakeholders, we estimated the potential historical distribution of 10 grassland communities within the Southern Great Plains project area using data on soils, climate, and vegetation from the Natural Resources Conservation Service (NRCS) including the Soil Survey Geographic Database (SSURGO) and Ecological Site Information System (ESIS). The dominant grassland communities of the Southern Great Plains addressed as conservation elements for the REA area are shortgrass, mixed-grass, and sand prairies. We also mapped tall-grass, mid-grass, northwest mixed-grass, and cool season bunchgrass prairies, saline and foothill grasslands, and semi-desert grassland and steppe. Grassland communities were primarily defined using the annual productivity of dominant species in the ESIS data. The historical grassland community classification was linked to the SSURGO data using vegetation types associated with the predominant component of mapped soil units as defined in the ESIS data. We augmented NRCS data with Landscape Fire and Resource Management Planning Tools (LANDFIRE) Biophysical Settings classifications 1) where NRCS data were unavailable and 2) where fifth-level watersheds intersected the boundary of the High Plains ecoregion in Wyoming. Spatial data representing the estimated historical distribution of grassland communities of the Southern Great Plains are provided as a 30 x 30-meter gridded surface (raster dataset). This information will help to address the priority management questions for grassland communities for the Southern Great Plains REA and can be used to inform other regional-level land management decisions.

Tags: biota, colorado, grassland-ecosystems, grasslands, kansas, nebraska, new-mexico, oklahoma, south-dakota, southern-great-plains, texas, usgs-57c729a7e4b0f2f0cebed10d, vegetation, wyoming
Organization: Department of the Interior
Hurricane Sandy 2013 National Wetlands Inventory Habitat Classification (Habitat Analysis of Coastal Federal Lands located within High Impact Zones of Hurricane Sandy, October 2012)

Hurricane Sandy directly hit the Atlantic shoreline of New Jersey during several astronomical high tide cycles in late October, 2012.   The eastern seaboard areas are subject to sea level rise and increased severity and frequency of storm events, prompting habitat and land use planning changes.   Wetland Aquatic Research Center (WARC) has conducted detailed mapping of marine and estuarine wetlands and deepwater habitats, including beaches and  tide flats,  and upland land use/land cover,  using  specially-acquired  aerial imagery  flown at 1-meter resolution.These efforts will assist the U.S. Fish and Wildlife Service (USFWS) continuing endeavors to map  the barrier islands adhering to Coastal Barrier Resources Act (CBRA) guidelines. Mapped areas consist of selected federal lands including, National Park Service areas, USFWS National Wildlife  Refuges, and selected CBRA Units, including barrier islands and marshes in New York and New Jersey. These vital wetland areas are important for migratory waterfowl and neotropical  bird habitats, wildlife  food chain support and nurseries for shellfish and finfish populations.  Coastal wetlands also play an important function as storm surge buffers.  This project includes mapping  of dominant estuarine wetland plant species useful for wetland functional analysis and wildlife evaluation and management concerns. It also aims to integrate with and  offer updated databases pertinent to:  USFWS NWR and NWI programs, NOAA tide flats and beaches data, FEMA flood zone data, Natural Heritage Endangered and Threated Species, watershed  management, and state and local land use planning.

Tags: boundaries, environment, planningcadastre, u-s-f-w-s-coastal-barrier-resources-act, u-s-fish-and-wildlife-service-northeast-region, u-s-national-park-service, usgs-57c70fb4e4b0f2f0cebed08a
Organization: Department of the Interior
Nearshore water level, tide, and non-tidal residual future projections (2016-2050) for the North and South Carolina coasts

A dataset of modeled nearshore water levels (WLs) was developed for the North and South Carolina coastlines. Water levels, defined for this dataset as the linear sum of tides and non-tidal residuals (NTR), were produced by Muis and others (2016) using a global tide and surge model (GTSM) forced by global atmospheric fields. Water level outputs were extracted from the global grid at approximately 20 km resolution along the southeast Atlantic coastline. These data were then statistically downscaled using a signal-specific set of corrections to improve skill in comparison to tide gauge observations (Parker and others, 2023). Projected water levels were forced by CMIP6 future period data. This dataset provides information on how water levels are expected to change moving towards the future. Four CMIP6 climate models were selected from the High-Resolution Model Intercomparison project (highresMIP; Haarsma and others, 2016) to sample variability in climate predictions.

Tags: climate-change, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-processes, earth-sciences, effects-of-climate-change, floods, hazards, hazards-planning, mathematical-modeling, numerical-modeling, oceans, pacific-coastal-and-marine-science-center, pcmsc, physical-habitats-and-geomorphology, predictions, sea-level-change, sea-level-rise, state-of-north-carolina, state-of-south-carolina, storm-surge, storms, tides, u-s-geological-survey, usgs, usgs-57c6b07f-62f9-468a-a947-6ecef43568f3, water-depth
Organization: Department of the Interior
Data release: A large-scale database of modeled contemporary and future water temperature data for 10,774 Michigan, Minnesota and Wisconsin Lakes

Climate change has been shown to influence lake temperatures globally. To better understand the diversity of lake responses to climate change and give managers tools to manage individual lakes,  we modelled daily water temperature profiles for 10,774 lakes in Michigan, Minnesota and Wisconsin for contemporary (1979-2015) and future (2020-2040 and 2080-2100) time  periods with climate models based on the Representative Concentration Pathway 8.5, the worst-case emission scenario. From simulated temperatures, we derived commonly used,  ecologically relevant annual metrics of thermal conditions for each lake. We included all available supporting metadata including satellite and in-situ observations of water clarity,  maximum observed lake depth, land-cover based estimates of surrounding canopy height and observed water temperature profiles (used here for validation).  This unique dataset offers landscape-level insight into the future impact of climate change on lakes.  This data set contains the following parameters: Thermal metrics, Spatial data, Temperature data, Model drivers, Model configuration, which are defined below.

Tags: 007, 012, climate-change, environment, ia, il, illinois, in, indiana, inlandwaters, iowa, mi, michigan, minnesota, mn, modeling, reservoirs, sd, south-dakota, temperate-lakes, thermal-profiles, united-states, us, usgs-57c5c793e4b0f2f0cebdaa4d, water, wi, wisconsin
Organization: Department of the Interior
Chemicals of Emerging Concern in Water and Bottom Sediment in the Great Lakes Basin, 2014 - Environmental Data

The U.S. Geological Survey (USGS), in cooperation with the U.S. Fish and Wildlife Service (USFWS) and St. Cloud State University (SCSU), identified the occurrence of chemicals of emerging concern (CECs) in water and bottom sediment collected in 2014 at 65 sites throughout the Great Lakes Basin. The 2014 effort is part of a long-term study that began in 2010. Included in this directory are collection methods, references to or descriptions of analytical methods used, data for samples collected in 2014, and associated quality-assurance data. Samples were collected during the periods of April to May and August to September by USGS, USFWS, and (or) SCSU personnel. Study sites include tributaries to the Great Lakes located near Green Bay, Wisconsin; Chicago, Illinois; Detroit, Michigan; Grand Rapids, Michigan; Cleveland, Ohio; and Wanakena, New York. During this study, 204 environmental samples and 6 field replicate sample pairs of surface water, 6 field blank water samples, and 4 laboratory-matrix spike water samples were collected or prepared. Additionally, 21 environmental samples, 3 field replicate sample pairs, and 2 laboratory-matrix spike samples of bottom sediments were collected or prepared. At 22 select water-quality sites, polar organic chemical integrative samplers (POCIS) were deployed in water and analyzed for a similar suite of CECs as were measured in water and bottom-sediment samples. A total of 22 environmental samples, 4 field-blank samples (exposed to ambient air), and 4 field replicate sample pairs were collected or prepared. Water and bottom-sediment samples were prepared and analyzed at the USGS National Water Quality Laboratory (NWQL) in Denver, Colorado. All POCIS samples were extracted at the Environmental Sampling Technologies Laboratory in St. Joseph, Missouri. Extracts were sent to NWQL where final preparation steps and analyses were completed.

Tags: area-of-concern, emerging-contaminants, great-lakes-restoration-initiative, toxicology, usgs-57c59a09e4b0f2f0cebda9ad
Organization: Department of the Interior
Associated data for Water- and Sediment-Quality in the Albemarle Sound, North Carolina, 2012–14

This data release contains environmental and quality control results for chemical, biological, and physical sampling of water and bed sediment from Albemarle Sound and associated tributaries between 2012 and 2014 referenced in USGS OFR 2016-1171.  Appendix 1 contains all quality control results to characterize the bias and variability of sampling, handling, and analysis of water, phytoplankton, and bed sediment samples.  Appendix 2 contains all the chemical, biological, and physical results for samples collected in July and August of 2012.  Appendix 3 contains all the chemical, biological, and physical results for samples collected from March 2013 to February 2014.  Data are included for discrete samples as well as for water column profiles of selected constituents.

Tags: albemarle-sound, aquatic-biology, bertie-county, camden-county, chowan-county, currituck-county, dare-county, north-carolina, pasquotank-county, perquimans-county, tyrrell-county, usgs-57c0a0c0e4b0f2f0ceb8a994, washington-county, water-chemistry, water-properties, water-quality-data
Organization: Department of the Interior
WLCI - Important Agricultural Lands Assessment (Input Raster: NLCD Lands Classified as Hay/Pasture or Cultivated Crops)

This dataset represents numerical values denoting a binary identification of whether a particular condition is met. In this case, values represent whether a given land parcel (represented as a pixel) is classified as "Hay/Pasture" or "Cultivated Crops" (pixels will be assigned a value of 1), or not (all pixels not in one of these categories will be assigned a value of 0).
This raster is one of 9 inputs used to calculate the "Normalized Importance Index."

Tags: aquatic-habitat, energy-development, environment, geoscientificinformation, ia, landscape-scale-conservation, southwest-wyoming, sw-wyoming, terrestrial-habitat, united-states, usa, usgs-57c07d31e4b0f2f0ceb88f32, wlci, wlci-integrated-assessment, wyoming, wyoming-landscape-conservation-initiative
Organization: Department of the Interior
Attributes for NHDPlus Version 2.1 Reach Catchments and Modified Routed Upstream Watersheds for the Conterminous United States: Annual Average Precipitation (millimeters) from 1945-2015

This tabular data set represents annual average precipitation values (millimeters) described in Wolock and McCabe (2017), compiled for the NHDPlus version 2 data suite (NHDPlusV2) for the conterminous United States. Linkage of the precipitation data with NHDPlusV2 is achieved through the common unique identifier COMID. The precipitation values are estimated both for: 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. The reach catchment information characterizes data at the local scale, whereas the catchments accumulated through the river network characterize cumulative upstream conditions.  The network-accumulated values are derived using two methods: 1) divergence routing and 2) total upstream routing. Both approaches use a modified routing database (Schwarz and Wieczorek, 2017) to navigate the NHDPlusV2 reach network and to aggregate (accumulate) the metrics derived from the reach catchment scale.

Tags: average-annual-precipitation, catchment, inlandwaters, nawqa, nhdplus, sparrow, usgs-57bf5c07e4b0f2f0ceb75b1b, water-balance-model
Organization: Department of the Interior
Magnetotelluric data, Southern San Luis Valley, Colorado, 2006: Station 4

This dataset includes the magnetotelluric (MT) sounding data collected in 2006 in the Southern San Luis Valley, Colorado. The U.S. Geological Survey conducted a series of multidisciplinary studies, including MT surveys, in the San Luis Valley to improve understanding of the hydrogeology of the Santa Fe Group and the nature of the sedimentary deposits comprising the principal groundwater aquifers of the Rio Grande rift. The shallow unconfined and the deeper confined Santa Fe Group aquifers in the San Luis Basin are the main sources of municipal water for the region. The population of the San Luis Valley region is growing rapidly and water shortfalls could have serious consequences. Future growth and land management in the region depend on accurate assessment and protection of the region's groundwater resources.

Tags: apparent-resistivity, colorado, costilla-county, electromagnetic-surveying, geophysics, geoscientificinformation, gps-measurement, impedance, impedance-phase, impedance-strike, magnetic-field-earth, magnetic-surveying, magnetotelluric, mt, rocky-mountains, san-luis-valley, sounding, tipper, usgs-57be1452e4b0c1c4d6886097
Organization: Department of the Interior
Magnetotelluric data, Southern San Luis Valley, Colorado, 2006: Station 3

This dataset includes the magnetotelluric (MT) sounding data collected in 2006 in the Southern San Luis Valley, Colorado. The U.S. Geological Survey conducted a series of multidisciplinary studies, including MT surveys, in the San Luis Valley to improve understanding of the hydrogeology of the Santa Fe Group and the nature of the sedimentary deposits comprising the principal groundwater aquifers of the Rio Grande rift. The shallow unconfined and the deeper confined Santa Fe Group aquifers in the San Luis Basin are the main sources of municipal water for the region. The population of the San Luis Valley region is growing rapidly and water shortfalls could have serious consequences. Future growth and land management in the region depend on accurate assessment and protection of the region's groundwater resources.

Tags: apparent-resistivity, colorado, costilla-county, electromagnetic-surveying, geophysics, geoscientificinformation, gps-measurement, impedance, impedance-phase, impedance-strike, magnetic-field-earth, magnetic-surveying, magnetotelluric, mt, rocky-mountains, san-luis-valley, sounding, tipper, usgs-57be11dae4b0c1c4d688607d
Organization: Department of the Interior
Magnetotelluric data, Southern San Luis Valley, Colorado, 2006: Station 2

This dataset includes the magnetotelluric (MT) sounding data collected in 2006 in the Southern San Luis Valley, Colorado. The U.S. Geological Survey conducted a series of multidisciplinary studies, including MT surveys, in the San Luis Valley to improve understanding of the hydrogeology of the Santa Fe Group and the nature of the sedimentary deposits comprising the principal groundwater aquifers of the Rio Grande rift. The shallow unconfined and the deeper confined Santa Fe Group aquifers in the San Luis Basin are the main sources of municipal water for the region. The population of the San Luis Valley region is growing rapidly and water shortfalls could have serious consequences. Future growth and land management in the region depend on accurate assessment and protection of the region's groundwater resources.

Tags: apparent-resistivity, colorado, costilla-county, electromagnetic-surveying, geophysics, geoscientificinformation, gps-measurement, impedance, impedance-phase, impedance-strike, magnetic-field-earth, magnetic-surveying, magnetotelluric, mt, rocky-mountains, san-luis-valley, sounding, tipper, usgs-57be1105e4b0c1c4d688607a
Organization: Department of the Interior
Magnetotelluric data, Southern San Luis Valley, Colorado, 2006: Station 1

This dataset includes the magnetotelluric (MT) sounding data collected in 2006 in the Southern San Luis Valley, Colorado. The U.S. Geological Survey conducted a series of multidisciplinary studies, including MT surveys, in the San Luis Valley to improve understanding of the hydrogeology of the Santa Fe Group and the nature of the sedimentary deposits comprising the principal groundwater aquifers of the Rio Grande rift. The shallow unconfined and the deeper confined Santa Fe Group aquifers in the San Luis Basin are the main sources of municipal water for the region. The population of the San Luis Valley region is growing rapidly and water shortfalls could have serious consequences. Future growth and land management in the region depend on accurate assessment and protection of the region's groundwater resources.

Tags: apparent-resistivity, colorado, costilla-county, electromagnetic-surveying, geophysics, geoscientificinformation, gps-measurement, impedance, impedance-phase, impedance-strike, magnetic-field-earth, magnetic-surveying, magnetotelluric, mt, rocky-mountains, san-luis-valley, sounding, tipper, usgs-57be0ea4e4b0c1c4d688604a
Organization: Department of the Interior
United States Wind Turbine Database (ver. 8.2, December 2025

This dataset provides locations and technical specifications of wind turbines in the United States, almost all of which are utility-scale. Utility-scale turbines are ones that generate power and feed it into the grid, supplying a utility with energy. They are usually much larger than turbines that would feed a house or business. The regularly updated database contains wind turbine records that have been collected, digitized, and locationally verified. Turbine data were gathered from the Federal Aviation Administration's (FAA) Digital Obstacle File (DOF) and Obstruction Evaluation Airport Airspace Analysis (OE-AAA), American Clean Power (ACP) Association (formerly American Wind Energy Association (AWEA)), Lawrence Berkeley National Laboratory (LBNL), and the United States Geological Survey (USGS), and were merged and collapsed into a single dataset. Verification of the turbine positions was done by visual interpretation using high-resolution aerial imagery in ESRI ArcGIS Desktop. A locational error of plus or minus 10 meters for turbine locations was tolerated. Technical specifications for turbines were assigned based on the wind turbine make and models as provided by manufacturers and project developers directly, and via FAA datasets, information on the wind project developer or turbine manufacturer websites, or other online sources. Some facility and turbine information on make and model did not exist or was difficult to obtain. Thus, uncertainty may exist for certain turbine specifications. Similarly, some turbines were not yet built, not built at all, or for other reasons cannot be verified visually. Location and turbine specifications data quality are rated, and confidence is recorded for both. None of the data are field verified.

Tags: acp, acp-formerly-awea, american-clean-power, database, energy, lawrence-berkeley-national-laboratory, lbnl, national, renewable, shapefile, turbine, turbine-characteristics, u-s-geological-survey, usgs, usgs-57bdfd8fe4b03fd6b7df5ff9, uswtdb, verified, wind, wind-facility, wind-farm, wind-turbine
Organization: Department of the Interior
Onshore Industrial Wind Turbine Locations for the United States through July 2013

This data set provides industrial-scale onshore wind turbine locations in the United States through July 22, 2013, corresponding facility information, and turbine technical specifications. The database has more than 47,000 wind turbine records that have been collected, digitized, locationally verified, and internally quality controlled. Turbines from the Federal Aviation Administration Digital Obstacle File, through product release date July 22, 2013, were used as the primary source of turbine data points. Verification of the turbine positions was done by visual interpretation using high-resolution aerial imagery in ESRI ArcGIS Desktop. Turbines without Federal Aviation Administration Obstacle Repository System numbers were visually identified and point locations were added to the collection. We estimated a locational error of plus or minus 10 meters for turbine locations. Wind farm facility names were identified from publically available facility data sets. Facility names were then used in a web search of additional industry publications and press releases to attribute additional turbine information (such as manufacturer, model, and technical specifications of wind turbines). Wind farm facility location data from various wind and energy industry sources were used to search for and digitize turbines not in existing databases. Technical specifications for turbines were assigned based on the wind turbine make and model as described in literature, specifications listed in the Federal Aviation Administration Digital Obstacle File, and information on the turbine manufacturer’s website. Some facility and turbine information on make and model did not exist or was difficult to obtain. Thus, uncertainty may exist for certain turbine specifications. That uncertainty was rated and a confidence was recorded for both location and attribution data quality.

Tags: alabama, alaska, arizona, arkansas, california, colorado, connecticut, dataset, delaware, district-of-columbia, energy, florida, georgia, geospatial-datasets, gis, hawaii, idaho, illinois, indiana, iowa, kansas, kentucky, louisiana, maine, maryland, massachusetts, michigan, minnesota, mississippi, missouri, montana, nebraska, nevada, new-hampshire, new-jersey, new-mexico, new-york, north-carolina, north-dakota, ohio, oklahoma, oregon, pennsylvania, renewable, rhode-island, shapefile, south-carolina, south-dakota, structure, tennessee, texas, turbine, usgs-57bdf821e4b03fd6b7df5fe1, utah, utilitiescommunications, vermont, virginia, washington, west-virginia, wind, wind-facility, wind-farm, windfarm, wisconsin, wyoming
Organization: Department of the Interior