AndreaBozzo/ceres-open-data-index huggingface dataset:
Tables representing greater sage-grouse abundance and habitat selection covariates in the Bi-State region of California and Nevada

These data consist of six separate tables. Two tables represent observed and expected greater sage-grouse (hereafter; sage-grouse) lek abundances, averaged within neighborhood clusters and the Bi-State Distinct Population segment as a whole. Three tables are the input tables for seasonal habitat selection models. These tables are the result of extracting values from rasters to both 'used' and 'available' locations; 'used' refers to an observation of a sage-grouse nesting or brood rearing, 'available' is a randomly-generated location proximal to a paired 'used' location. For these locations, we extract values from multiple rasters expressing landscape characteristics such as landcover (such as sagebrush, annual grass, or shrubs, expressed as a percentage), height of sagebrush, distance to water features, distance to anthropogenic features, and topographic transformations (such as slope, heat load index, and roughness). Ultimately, the locations were removed from these tables as sage-grouse are considered to be a sensitive species. The final table contains volume of sage-grouse abundance and area measurements of sage-grouse range annually 1995 through 2023, and projected out to 3 future population nadirs 2027, 2036, and 2044.

Tags: abundance, animal-behavior, bi-state, biota, california, ecology, greater-sage-grouse, habitat-selection, native-species, nevada, shrubland-ecosystems, usgs-66464c68d34e1955f5a43502
Organization: Department of the Interior
National Land Cover Database (NLCD) 2011 Accuracy Assessment Points Conterminous United States

Accuracy assessment is a standard protocol of National Land Cover Database (NLCD) mapping. Here we report agreement statistics between map and reference labels for NLCD 2011, which includes land cover for 2001, 2006, and 2011. The two main objectives were assessment of agreement between map and reference labels for the three, single-date NLCD land cover products at Level II and Level I of the classification hierarchy, and agreement for 17 land cover change themes based on Level I classes (e.g., forest loss; forest gain; forest, no change) for three change periods (2001–2006, 2006–2011, and 2001–2011). The single-date overall accuracies were 82%, 83%, and 83% at Level II and 88%, 89%, and 89% at Level I for 2011, 2006, and 2001, respectively. Overall accuracies for 2006 and 2001 land cover components of NLCD 2011 were approximately 4% higher (at Level II and Level I) than the overall accuracies for the same components of NLCD 2006. User's accuracies were high for the no change reporting themes, commonly exceeding 85%, but were typically much lower for the reporting themes that represented change. Only forest loss, forest gain, and urban gain had user's accuracies that exceeded 70%. NLCD 2011 user's accuracies for forest loss, forest gain, and urban gain compare favorably with results from other land cover change accuracy assessments.

Tags: accuracy-assessment, imagerybasemapsearthcover, land-cover, land-cover-change, nlcd, reference-data-quality, u-s, united-states, us, usgs-66463fbad34e1955f5a43439
Organization: Department of the Interior
Multivariate Adaptive Constructed Analogs (MACA) Catchment Minimum Temperature data, 2006-2099

This tabular data set represents estimated monthly minimum temperature (in degrees Fahrenheit) over the period 2006-2099 compiled for NHDPlus version 2 data suite (NHDPlusv2) catchments. This dataset can be linked to the NHDPlusv2 by the unique identifier COMID. The source data is Multivariate Adaptive Constructed Analogs (MACA) (Abatzoglou &amp; Brown, 2011). Summaries are provided for five regions corresponding to NHDPlus vector processing units (VPUs): VPU 02, VPU 03w, VPU 04, VPU 14, and VPU 17.

Tags: climate, great-lakes, inlandwaters, maca, mid-atlantic, nhdplusv2, pacific-northwest, precipitation, south-atlantic-west, temperature, upper-colorado, usgs-66c4e3c2d34e0338828925de
Organization: Department of the Interior
Little Brown Bats (Myotis lucifugus) weights and Ct values for SARS-CoV-2 Infection challenge

Little brown bat (Myotis lucifugus) weights and SARS-CoV2 test results were collected as part of study to assess transmission potential of SARS-CoV2 in North American bat populations.  It has been proposed that the SARS-CoV-2 virus originated in Asian bats and subsequently spread through human populations as a pandemic. There is concern that infected humans could transmit the virus to native North American bats, therefore the susceptibility of several North American bat species to the pandemic virus has been experimentally assessed. Big brown bats (Eptesicus fuscus) were shown to be resistant to infection by SARS-CoV-2, while Mexican free-tailed bats (Tadarida brasiliensis) became infected and orally excreted moderate amounts of virus for up to 18 days post-inoculation. Little brown bats (Myotis lucifugus) frequently contact humans, and their populations are threatened over much of their range due to white-nose syndrome, a fungal disease that is continuing to spread across North America. For this study, we experimentally challenged little brown bats with SARS-CoV-2 to determine their susceptibility, host potential, and whether the virus presents an additional risk to this species. We present data, including oral and rectal excretion, health status and serological evidence that shows this species was resistant to infection by SARS-CoV-2. These findings will provide reassurance to wildlife rehabilitators, biologists, conservation scientists, and the public at large who are concerned with possible transmission of this virus to threatened bat populations.

Tags: biota, challenge, histology, infection, little-brown-bat, myotis-lucifugus, pathology, polymerase-chain-reaction, resistance, sars-cov-2, susceptibility, usgs-664506b9d34e1955f5a42f6d, wildlife-disease, zoonotic-diseases
Organization: Department of the Interior
Topographic derivative datasets for the Geospatial Fabric for National Hydrologic Modeling, Alaska Domain

The Geospatial Fabric for National Hydrologic Modeling (Viger and Bock, 2014; Bock and others, 2020) is a dataset of hydrographic features and spatial data designed for use within the National Hydrologic Model that covers the conterminous United States (CONUS), Hawaii, and most major river basins that flow in from Canada.  This U.S. Geological Survey (USGS) data release consists of the geospatial fabric features and other related spatial datasets created to expand the National Hydrologic Model to Alaska.
This child item consists of topographic data themes that cover the Geospatial Fabric for National Hydrologic Modeling, Alaska Domain. The 30-meter (m) raster datasets included under Topographic Derivatives are: digital elevation (dem.tif), topographic wetness index (TWI, twiX100.tif), slope (rise over run, slope.tif), aspect (asp.tif), flow accumulation (fac.tif), and flow direction (fdr.tif). All file formats are in GeoTIFF (Geographic Tagged Imaged Format), and are sourced from NHDPlus Version 2.0 raster layers (Environmental Protection Agency, 2019)

Tags: alaska, aspect, boundaries, canada, digital-elevation-models, elevation, flow-accumulation, flow-direction, geographic-information-systems-gis, geoscientificinformation, hydrologic-modeling, hydrologic-response-units-hrus, inlandwaters, slope, topographic-wetness-index, united-states, usgs-6644f85ed34e1955f5a42dc4
Organization: Department of the Interior
National Hydrologic Model's Alaskan Geospatial Fabric Parameter Database

The Geospatial Fabric for National Hydrologic Modeling (Viger and Bock, 2014; Bock and others, 2021) is a dataset of hydrographic features and spatial data for use within the National Hydrologic Model that covers the conterminous United States (CONUS), Hawaii, and most major river basins that flow in from Canada.  This U.S. Geological Survey (USGS) data release consists of the geospatial fabric features and other related spatial datasets created to expand the National Hydrologic Model to Alaska. 
The National Hydrologic Model database contains parameters for hydrologic response units (HRUs) and stream segments needed to run the NHM. These parameters are generated using python scripts to process input datasets such as digital elevation models, soil maps, and land cover classifications. Many of the parameters were left at their default model value as they would need to be calibrated as part of the PRMS model development process. Please refer to the Supplemental Information and the Process Description elements of this metadata record for more details on the source datasets and scripts used to generate these parameters.

Tags: alaska, canada, environment, geographic-information-systems, geoscientificinformation, hydrologic-modeling, hydrologic-response-units, inlandwaters, points-of-interest, routing-network, united-states, usgs-6644f81ed34e1955f5a42db4
Organization: Department of the Interior
GIS Features of the Geospatial Fabric for the National Hydrologic Model, Alaska Domain

The Geospatial Fabric for National Hydrologic Modeling (Viger and Bock, 2014; Bock and others, 2020) is a dataset of hydrographic features and spatial data designed for use within the National Hydrologic Model that covers the conterminous United States (CONUS), Hawaii, and most major river basins that flow in from Canada.  This U.S. Geological Survey (USGS) data release consists of the geospatial fabric features and other related spatial datasets created to expand the National Hydrologic Model to Alaska.
This child item contains data and information related to the GIS features of the Geospatial Fabric for National Hydrologic Model, Alaska domain. Two Open Geospatial Consortium geopackages are provided: one containing source layers that have had some pre-processing done from their native data formats (Reference_19.gpkg), and one (NHM_19.gpkg) containing 4 final feature layers for the NHM: points of interest (pois), a stream network (nsegment), aggregated catchments (catchments), and hydrologic response units (nhru). Features were derived from the MERRIT Hydro Global Hydrography Dataset.

Tags: alaska, canada, geographic-information-systems, geoscientificinformation, health, hydrologic-modeling, hydrologic-response-units, inlandwaters, points-of-interest, routing-network, united-states, usgs-6644f800d34e1955f5a42da9
Organization: Department of the Interior
Multivariate Adaptive Constructed Analogs (MACA) Upstream Precipitation data, 2006-2099

This tabular data set represents estimated monthly precipitation (in millimeters) over the period 2006-2099 compiled for NHDPlus version 2 data suite (NHDPlusv2) catchments accumulated upstream through the river network. This dataset can be linked to the NHDPlusv2 by the unique identifier COMID. Reach catchments are accumulated upstream through the river network using a modified routing database to navigate the NHDPlus reach network to aggregate (accumulate) the metrics derived from the reach catchment scale (Schwarz and Wieczorek, 2018). The source data is Multivariate Adaptive Constructed Analogs (MACA) (Abatzoglou &amp; Brown, 2011). Summaries are provided for five regions corresponding to NHDPlus vector processing units (VPUs): VPU 02, VPU 03w, VPU 04, VPU 14, and VPU 17.

Tags: climate, great-lakes, mid-atlantic, nhdplusv2, pacific-northwest, precipitation, south-atlantic-west, temperature, upper-colorado, usgs-66c4e3eed34e0338828925fd
Organization: Department of the Interior
Geospatial Fabric for National Hydrologic Modeling, Alaska Domain

The Geospatial Fabric for National Hydrologic Modeling (Viger and Bock, 2014; Bock and others, 2020) is a dataset of hydrographic features and spatial data designed for use within the National Hydrologic Model that covers the conterminous United States (CONUS), Hawaii, and most major river basins that flow in from Canada.  This U.S. Geological Survey (USGS) data release consists of the geospatial fabric features and other related spatial datasets created to expand the National Hydrologic Model to Alaska.
These datasets are found as child items to this landing page: 1) Data Layers for the Geospatial Fabric for National Hydrologic Modeling, Alaska Domain, 2) GIS (Geographic Information Systems) Features of the Geospatial Fabric for National Hydrologic Modeling, Alaska Domain, 3) Parameter Database for the National Hydrologic Modeling, Alaska Domain, and 4) Topographic derivative datasets for the Geospatial Fabric for National Hydrologic Modeling, Alaska Domain. See each item for more details.

Tags: alaska, canada, environment, geographic-information-systems, geoscientificinformation, hydrologic-modeling, hydrologic-response-units, inlandwaters, points-of-interest, routing-network, united-states, usgs-6644ea91d34e1955f5a42b46
Organization: Department of the Interior
Shapefile for the approximate inland extent of saltwater intrusion at the base of the Biscayne aquifer in 2022, Miami-Dade County, Florida

A shapefile was created that shows the approximate inland extent of saltwater intrusion at the base of the Biscayne aquifer in 2022 in Miami-Dade County, Florida. The approximate location of the saltwater interface is represented by the 1,000-mg/L isochlor at the base of the Biscayne aquifer. The term “approximate” is used here because certain areas of the map lack sufficient spatial distribution of monitoring wells to create a precise representation. The approximate location of the 1000-mg/L isochlor was identified using chloride concentrations and specific conductance data from groundwater wells. These data are provided in the child item, "Summary tables for the approximate inland extent of saltwater intrusion at the base of the Biscayne aquifer in 2022, Miami-Dade County, Florida".

Tags: biscayne-aquifer, florida, isochlor, miami-dade-county, monitoring-well, saltwater-interface, saltwater-intrusion, usgs-6644e424d34e1955f5a42ae4
Organization: Department of the Interior
Dataset of Species Presence Locations for 116 Freshwater Fish Species in Wyoming, Montana, and the Surrounding States from 1800 – 2022

The University of Wyoming Stream Species Dataset is a species presence dataset containing presence locations for 116 freshwater fish species in Wyoming, Montana, and the surrounding states. It contains data from 40,490 unique sample events (location, month, year). Data was derived from multiple sources (Table 1) and limited to fish occurrences in rivers and streams.

Tags: biota, fish, idaho, montana, nebraska, south-dakota, usgs-6644dcf4d34e1955f5a42a13, wyoming
Organization: Department of the Interior
Airborne Radiometric Survey, Colorado Mineral Belt, Southwest Block, 2023

Radiometric data collected as part of a high-resolution airborne magnetic and radiometric survey over the southwest portion of the Colorado Mineral Belt in southwestern Colorado are provided as digital flight-line and grid files. Radiometric (or gamma-ray) surveys measure naturally occurring low-level radiation and are sensitive to the presence of rocks within 30 cm of the surface that are enriched in uranium, thorium, or potassium. Data for this survey were acquired by NV5 Geospatial, Inc. and its sub-contractors Precision GeoSurveys, Inc. and EDCON-PRJ, Inc under contract with the USGS. The survey was flown in September and October of 2023 using a helicopter equipped with a gamma-ray spectrometer stowed onboard.  The helicopter pilots followed pre-planned flight paths in a grid-like pattern, with north-south lines spaced 200 meters apart and east-west lines spaced 1,000 meters apart. Lines were flown 100 meters above ground as much as possible to maximize the detection of gamma rays. This clearance could be realized in areas of low relief but higher clearances, as much as 200-500 meters, were required over rugged terrain and populated areas for safety reasons. Areas with restricted airspace, such as Wilderness Areas, were avoided.  A total of 28,472 linear kilometers of data were collected along the lines, covering a 4,719 square-kilometer irregular area. EDCON-PRJ performed extensive data processing after completion of flying and delivered the final data and report in April 2024.

Tags: aasg, aeroradiometric-survey, airborne-geophysical-survey, association-of-state-geologists, colorado, colorado-mineral-belt, creede, delores, durango, earth-mapping-resources-initiative, earthmri, economic-geology, geology-geophysics-and-geochemistry-science-center, geophysics, geospatial-datasets, gggsc, hinsdale, lake-city, laplata, mineral, mineral-resources, mineral-resources-program, montezuma, mrp, national-cooperative-geologic-mapping-program, ouray, potassium, san-juan, san-miguel, sedimentology, silverton, structural-geology, telluride, thorium, u-s-geological-survey, united-states, united-states-of-america, uranium, usa, usgs, usgs-6644d968d34e1955f5a429cc
Organization: Department of the Interior
Airborne Magnetic Survey, Colorado Mineral Belt, Southwest Block, 2023

Magnetic data collected as part of a high-resolution airborne magnetic and radiometric survey over the southwest portion of the Colorado Mineral Belt in southwestern Colorado are provided as digital flight-line and grid files.  Magnetic surveys measure subtle variations in the Earth’s magnetic field and are sensitive to differences in the magnetic properties of rocks from ground level to many kilometers below.  Data for this survey were acquired by NV5 Geospatial, Inc. and is sub-contractors Precision GeoSurveys, Inc. and EDCON-PRJ, Inc under contract with the USGS. The survey was flown by helicopter in September and October of 2023.  Magnetic data were measured from a magnetometer mounted in a stinger extending from the nose of the aircraft. The helicopter pilots followed pre-planned flight paths in a grid-like pattern, with north-south lines spaced 200 meters apart and east-west lines spaced 1,000 meters apart. Lines were flown 100 meters above ground as much as possible to resolve details of the magnetic field. This clearance could be realized in areas of low relief but higher clearances, as much as 200-500 meters, were required over rugged terrain and populated areas for safety reasons. Areas with restricted airspace, such as Wilderness Areas, were avoided. A total of 28,472 linear kilometers of data were collected along the lines, covering a 4,719 square-kilometer irregular area. EDCON-PRJ performed extensive data processing after completion of flying and delivered the final data and report in April 2024.

Tags: aasg, aeromagnetic-survey, airborne-geophysical-survey, association-of-state-geologists, colorado, colorado-mineral-belt, creede, delores, durango, earth-mapping-resources-initiative, earthmri, economic-geology, geology-geophysics-and-geochemistry-science-center, geophysics, geospatial-datasets, gggsc, hinsdale, lake-city, laplata, magnetic-field-earth, mineral, mineral-resources, mineral-resources-program, montezuma, mrp, national-cooperative-geologic-mapping-program, ouray, san-juan, san-miguel, sedimentology, silverton, structural-geology, telluride, u-s-geological-survey, united-states, united-states-of-america, usa, usgs, usgs-6644d49bd34e1955f5a429b1
Organization: Department of the Interior
Modeled Land Use and Land Cover, 1980-2100

This tabular data set contains information on historic and projected land-use/land-cover, compiled for two spatial components of the NHDPlus version 2.1 data suite (NHDPlusv2) for select regions of the conterminous United States; 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. This dataset can be linked to the NHDPlus version 2.1 data suite by the unique identifier COMID. The source data is from the Modeled historic and projected land use and land cover for the conterminous United States produced by Terry Sohl and others (2014, 2018). The data provided here contains information for the years, 1980 through 2100, compiled as described above. The units are in percentages. Reach catchment information characterizes data at the local scale. Reach catchments accumulated upstream through the river network characterizes cumulative upstream conditions. Network-accumulated values were computed using the xstrm python software package (Wieferich and others, 2021).

Tags: inlandwaters, land-cover, land-use, nhdplusv2, usgs-66c4e418d34e03388289261a
Organization: Department of the Interior
Compilation of surficial geology datasets for southern New England

The U.S. Geological Survey, in cooperation with the Federal Highway Administration (FHWA) and the Connecticut, Massachusetts, and Rhode Island Departments of Transportation (DOTs), gathered geospatial data to facilitate the development of a regional Stochastic Empirical Loading and Dilution Model (SELDM) application (Granato and others, 2023). As part of this study, the surficial geology of Connecticut, Massachusetts, Rhode Island, and contributing areas from neighboring states was compiled from disparate datasets and reclassified into two categories that represent presence or absence of sand and gravel deposits (also referred to as stratified drift). This dataset provides a key basin characteristic for the region that may be used to help FHWA and DOTs to address potential environmental impacts of transportation projects in accordance with the National Environmental Policy Act of 1969 (https://www.epa.gov/nepa). Knowledge of local surficial geology also may support the assessment of green infrastructure as methods to reduce the effect of highway and urban receiving waters. Furthermore, this dataset facilitates the estimation of streamflow statistics at ungaged locations in the regions, these statistics were shown to be among the most sensitive input variables for refining SELDM outputs (Granato and others, 2023). 
This data release provides the compiled raster dataset of sand and gravel deposits as a Georeferenced Tagged Image File Format (GeoTIFF) raster dataset. The spatial extent includes the entirety of Connecticut, Massachusetts, and Rhode Island, as well as portions of contributing area to these states in New Hampshire, New York, and Vermont.
References:
Granato, G.E., Spaetzel, A.B., and Jeznach, L.C., 2023, Approaches for assessing flows, concentrations, and loads of highway and urban runoff and receiving-stream stormwater in southern New England with the Stochastic Empirical Loading and Dilution Model (SELDM): U.S. Geological Survey Scientific Investigations Report 2023–5087, 152 p., https://doi.org/10.3133/sir20235087

Tags: connecticut, geologic-processes, massachusetts, new-hampshire, new-york, raster-file, rhode-island, rocks-and-deposits, seldm, surficial-geology, transportation, usgs-6644cff5d34e1955f5a429aa, vermont
Organization: Department of the Interior