AndreaBozzo/ceres-open-data-index huggingface dataset:
Crustal Architecture Beneath the Southern Midcontinent (USA) -- Data Grids and 3D Geophysical Models: Gravity and Magnetic Grids

Regional geophysical data grid files provided in Grid eXchange File (GXF) format were used to study crustal architecture beneath the Southern Midcontinent (USA) by McCafferty and others (2019). The study covered a rectangular, multi-state area of 924 by 924 kilometers centered on Missouri, and a corresponding volume extending from the topographic surface to a depth of 50 kilometers below sea level. The observed geophysical data grids (Bouguer gravity anomaly and reduced-to-pole (RTP) aeromagnetic anomaly) were used in 3D inversions, and the calculated geophysical data grids were produced by the inversions. All grids are sampled at a 2,000 by 2,000 meter grid interval. Missing data nodes are assigned a value of 1.000000E+38. 
Two versions of each GXF file are provided: (1) a version with embeded map projection information for use with Geosoft Oasis montaj and the free Geosoft viewer software and (2) a version without map projection information (filenames ending in NoProj.gxf) for use with ArcMap and QGIS.  An ArcMap projection file, which contains the missing projection information, is also provided.

Tags: aeromagnetic-surveying, arkansas, bouguer-anomaly, bulk-density, crust-earth, geophysics, geoscientificinformation, geospatial-datasets, gravimeter-measurement, gravimetric-methods, gravitational-field-earth, illinois, indiana, iowa, kansas, kentucky, magnetic-field-earth, magnetic-susceptibility, magnetic-susceptibility-analysis, magnetometer-measurement, mississippi, missouri, oklahoma, scientific-interpretation, tennessee, topography, usgs-5cf14f94e4b056af3664e806
Organization: Department of the Interior
Rio Grande 2012 Vegetation and Water Classification Data in the Big Bend Region

These data are spatial polygon data and remote sensing image-based classification maps of surface water and vegetation species for 2012 along the Rio Grande River in Big Bend National Park in Texas. The geographic extent of the classification spans from the end of Mariscal Canyon to 5 km after the end of Boquillas Canyon, totaling approximately 77 Km of the river. The maps are also restricted to a digitized extent of riparian vegetation that is defined by the alluvial valley of the Rio Grande River. The 2012 classification maps are created using 20 cm multispectral (Near Infrared (NIR), Red and Green) imagery and LiDAR data collected in June 2012. The accuracy assessment for the classification product is based on ground truth data collected in February 2019 and represents all ten species mapped.

Tags: big-bend-national-park, big-bend-region, biota, change-detection, classification, geographic-information-system, geography, gis-vector-data, high-resolution-multispectral-airborne-imagery, hyperspectral-imaging, image-classification, imagerybasemapsearthcover, management, monitoring, multispectral-image-analysis, multispectral-imaging, naip, national-agriculture-imagery-program, remote-sensing, remote-sensing-image-based-classification-maps, research, rio-grande-river, supervised-image-classification, texas, united-states, unsupervised-image-classification, usgs-5cf02d3ce4b0b51330e22b91, vegetation, vegetation-classification, water-classification
Organization: Department of the Interior
Attributes for NHDPlus Version 2.1 Flowlines for the Conterminous United States: Bankfull Hydraulic Geometry Related to Physiographic Divisions

This tabular data set contains information on bankfull depth, width and cross-sectional area for each NHDPlus version 2.1 data suite (NHDPlusv2) flowline (Moore and Dewald, 2016) for the conterminous United States.  These data were created using regional regression equations outlined in Bieger and others (2015). The equations predict bankfull width, depth and cross-sectional area as a function of drainage area for eight Physiographic Divisions of the conterminous United States (Fenneman, 1946).

Tags: bankfull-channel-area, bankfull-discharge, bankfull-width, flowline, nhdplus-version-2, streams, usgs-5cf02bdae4b0b51330e22b85
Organization: Department of the Interior
Stream Lines Used to Produce the South Carolina StreamStats 2018 Release

The U.S. Geological Survey South Atlantic Water Science Center, in cooperation with the South Carolina Department of Transportation, implemented a South Carolina StreamStats application in 2018. This shapefile dataset contains vector lines  representing streams, rivers, and ditches that were used in preparing the underlying data for the South Carolina StreamStats application. Data were compiled from multiple sources, but principally represent lidar-derived linework from the South Carolina Department of Natural Resources and the South Carolina Lidar Consortium.The South Carolina hydrography lines were created from elevation rasters that ranged from 4 to 10 ft resolution, to produce a product of approximately 1:6,000-scale. Other sources include the 1:24,000 scale high resolution National Hydrography Dataset streamlines [for streamlines in Georgetown County (SC), NC, and GA] and the 1:4,800 scale local-resolution North Carolina Stream Mapping Project lines (mountain counties). These vector lines were used to enforce drainages on digital elevation model raster grids using the HydroDem/Agree program during data preparation.

Tags: abbeville-county, aiken-county, allendale-county, anderson-county, bamberg-county, barnwell-county, beaufort-county, berkeley-county, calhoun-county, charleston-county, cherokee-county, chester-county, chesterfield-county, clarendon-county, colleton-county, computational-methods, darlington-county, decision-support-methods, dillon-county, dorchester-county, edgefield-county, environment, fairfield-county, flood-preparedness, floods, floods-and-flood-hazards, florence-county, geographic-information-systems, georgetown-county, georgia, geoscientificinformation, geospatial-datasets, greenville-county, greenwood-county, hampton-county, hazard-preparedness, horry-county, hydrography, hydrologic-maps, hydrology, inlandwaters, jasper-county, kershaw-county, lancaster-county, laurens-county, lee-county, lexington-county, lidar, maps-and-atlases, marion-county, marlboro-county, mccormick-county, newberry-county, north-carolina, oconee-county, orangeburg-county, partnerships, pickens-county, richland-county, river-reaches, river-systems, saluda-county, south-carolina, spartanburg-county, sumter-county, surface-water-non-marine, union-county, usgs-5cf01a85e4b0b51330e22aa6, virginia, water-resource-management, williamsburg-county, york-county
Organization: Department of the Interior
Louisiana Barrier Island Comprehensive Monitoring Program – 2008 habitat map, Acadiana Bays Region (ver. 1.1, May 2020)

The Barrier Island Comprehensive Monitoring (BICM) program was developed by Louisiana’s Coastal Protection and Restoration Authority (CPRA) and is implemented as a component of the System Wide Assessment and Monitoring Program (SWAMP). The program uses both historical data and contemporary data collections to assess and monitor changes in the aerial and subaqueous extent of islands, habitat types, sediment texture and geotechnical properties, environmental processes, and vegetation composition. Examples of BICM datasets include still and video aerial photography for documenting shoreline changes, shoreline positions, habitat mapping, land change analyses, light detection and ranging (lidar) surveys for topographic elevations, single-beam and swath bathymetry, and sediment grab samples. For more information about the BICM program, see Kindinger and others (2013).
The U.S. Geological Survey, Wetland and Aquatic Research Center provides support to the BICM program through the development of habitat map products using aerial imagery and lidar elevation data and assessing change in habitats over time. These data provide a snapshot of barrier island habitats and can be combined with other past and/or future maps to monitor these valuable natural resources over time. The current effort of this habitat mapping program includes developing habitat maps for 2008 and 2015-2016 for the following BICM regions: 1) West Chenier; 2) East Chenier; 3) Acadiana Bays (only Marsh Island); 4) Early Lafourche Delta; 5) Late Lafourche Delta; 6) Modern Delta (only Chaland Headland and Shell Island); and 7) Chandeleur Islands. Additionally, a habitat change analysis will be conducted comparing reaches mapped in 2008 and 2015-2016. The BICM program has developed two habitat classification schemes which include a detailed 15-class habitat scheme and a general eight-class habitat scheme. The detailed scheme was developed specifically for this habitat mapping effort and builds off the general scheme used in previous BICM habitat mapping efforts (Fearnley and others, 2009). The additional classes developed in the detailed scheme are primarily used to further delineate various dune habitats, separate marsh and mangrove, and distinguish between beach and unvegetated barrier flat habitats. To ensure comparability between this effort and previous BICM map products, we have crosswalked the detailed classes to general habitat classes previously used by Fearnley and others (2009).

Tags: acadiana-bays-region, barrier-islands, barrier-vegetation, beach, coastal-wetlands, dune, geoscientificinformation, gulf-of-mexico, habitat-map, iberia-parish, louisiana, louisiana-coastal, mangrove, marsh, remote-sensing, scrub-shrub, usgs-5cf582f2e4b02598ed65829f
Organization: Department of the Interior
Incubation Constancy, Number of Incubation Recesses, Recess Duration and Mercury Concentrations for Tree Swallows at the Cosumnes River Preserve 2014

These metadata provide data used to examine tree swallow incubation behavior in relation to egg mercury concentration and maternal blood mercury concentration. These data were collected from tree swallows nesting in artificial wooden nest boxes at the Cosumnes River Preserved in California's Central Valley in 2014. Included are two datasets. One dataset provides daily incubation constancy (the proportion of the day the female spent incubating her eggs), the number of incubation recesses (breaks from incubating) taken by the attending female each day and the total mercury concentration of one egg from the female's clutch, and blood total mercury concentrations collected from the mother. Additionally, we include other ecological covariates: NestID, date, julian date, nest age, full clutch size, and ambient temperature within the nestbox. The second dataset provides the length in minutes of each individual incubation recess as well as the total mercury concentration of one egg from the female's clutch, blood total mercury concentrations collected from the mother, and ecological covariates NestID, date, julian date, nest age, full clutch size, and ambient temperature within the nestbox.
These data support the following publication:
Hartman, C.A., Ackerman, J.T. and Herzog, M.P., 2019. Mercury exposure and altered parental nesting behavior in a wild songbird. Environmental Science &amp; Technology. 53(9), 5396-5405. https://doi.org/10.1021/acs.est.8b07227

Tags: animal-behavior, biota, incubation-behavior, incubation-constancy, mercury-contamination, tachycineta-bicolor, tree-swallow, usgs-5cef09a0e4b0fd6593c49dcf
Organization: Department of the Interior
Multibeam acoustic-backscatter data collected in 2017 and 2018 of Noyes Submarine Canyon and vicinity, southeast Alaska

These metadata describe acoustic-backscatter data collected during 2017 and 2018 multibeam echosounder surveys of Noyes Submarine Canyon and vicinity, southeast Alaska. Data were collected by the National Oceanic and Atmospheric Administration (NOAA) aboard the NOAA survey vessel Fairweather and the data were post-processed by the U.S. Geological Survey (USGS), Pacific Coastal and Marine Science Center (PCMSC) for PCMSC research projects. The acoustic-backscatter data are provided as a GeoTIFF image.

Tags: bathymetry, cmhrp, coastal-and-marine-hazards-and-resources-program, distributions, dixon-entrance, field-observation, geoscientificinformation, geospatial-datasets, image-mosaics, marine-geophysics, multibeam-sonar, noyes-canyon, pacific-coastal-and-marine-science-center, pcmsc, sea-floor-acoustic-reflectivity, sea-floor-characteristics, seabed, seafloor-topography, state-of-alaska, u-s-geological-survey, usgs, usgs-5cef0730e4b0fd6593c49dcd
Organization: Department of the Interior
Abandoned Mine Land (AML) Geochemical Data: Star District, Utah

The Star District study area is located in the Star Mountain Range, approximately 50 miles north of Cedar City, Utah. The Star Range was historically mined for lead and silver beginning in the 1870s (Krahulec, 2018). The Star District samples can be spatially clustered into two groups: the first consists of samples closest to Topache Peak and the second consists of samples closest to Picacho Peak. From November to December, 2014 and June to July, 2015, the United States Geological Survey (USGS) collected a total of 141 samples from abandoned mine wastepiles, channel sediments downslope of wastepiles, and background areas. These samples were sieved to obtain the less than 177 micron fraction, which was homogenized and subjected to a four acid digestion prior to analysis by Inductively Coupled Plasma (ICP) methods.

Tags: abandoned, beaver, chemical-analysis, environmental-geochemistry, field-sampling, geochemical-data, geoscientificinformation, lead, milford, mining, picacho, sediment, sediment-analysis, silver, soil, soil-chemistry, star-district, star-north-star, star-range, stream-sediment, topache, united-states, usgs-5ceef7eee4b0fd6593c49d91, utah, wastepile
Organization: Department of the Interior
Multibeam bathymetry data collected in 2017 and 2018 of Noyes Submarine Canyon and vicinity, southeast Alaska

These metadata describe bathymetry data collected during 2017 and 2018 multibeam echosounder surveys of Noyes Submarine Canyon and vicinity, southeast Alaska. Data were collected by the National Oceanic and Atmospheric Administration (NOAA) aboard the NOAA survey vessel Fairweather and the data were post-processed by the U.S. Geological Survey (USGS), Pacific Coastal and Marine Science Center (PCMSC) for PCMSC research projects.

Tags: bathymetry, bathymetry-and-elevation, bathymetry-measurement, cmhrp, coastal-and-marine-hazards-and-resources-program, dixon-entrance, field-observation, geoscientificinformation, geospatial-datasets, marine-geophysics, multibeam-sonar, noyes-canyon, pacific-coastal-and-marine-science-center, pcmsc, sea-floor-characteristics, seabed, seafloor-topography, state-of-alaska, u-s-geological-survey, usgs, usgs-5ceef6a3e4b0fd6593c49d8d
Organization: Department of the Interior
Crustal Architecture Beneath the Southern Midcontinent (USA) -- Data Grids and 3D Geophysical Models: 3D voxel model of density

This 3D voxel model of density in GOCAD format was used to study crustal architecture beneath the Southern Midcontinent (USA) by McCafferty and others (2019). The study covered a rectangular, multi-state area of 924 by 924 kilometers centered on Missouri, and a corresponding volume extending from the topographic surface to a depth of 50 kilometers below sea level. The 3D voxel model describes the density of the crust and upper mantle as interpreted using 3D inversion. The masked version excludes densities in areas where the Precambrian basement surface elevations are unknown. The individual voxel elements are 2,000 by 2,000 meters by 500 meters thick. Missing data nodes are assigned a value of -99999.

Tags: aeromagnetic-surveying, arkansas, bouguer-anomaly, bulk-density, crust-earth, geophysics, geoscientificinformation, geospatial-datasets, gravimeter-measurement, gravimetric-methods, gravitational-field-earth, illinois, indiana, iowa, kansas, kentucky, magnetic-field-earth, magnetic-susceptibility, magnetic-susceptibility-analysis, magnetometer-measurement, mississippi, missouri, oklahoma, scientific-interpretation, tennessee, topography, usgs-5ceef0dae4b0fd6593c49d67
Organization: Department of the Interior
Crustal Architecture Beneath the Southern Midcontinent (USA) -- Data Grids and 3D Geophysical Models: 3D Voxel Model of Magnetic Susceptibility

This 3D voxel model of magnetic susceptibility in GOCAD format was used to study crustal architecture beneath the Southern Midcontinent (USA) by McCafferty and others (2019). The study covered a rectangular, multi-state area of 924 by 924 kilometers centered on Missouri, and a corresponding volume extending from the topographic surface to a depth of 50 kilometers below sea level. The 3D voxel model describes the magnetic susceptibility of the crust as interpreted using 3D inversion. The masked version excludes magnetic susceptibilities in areas where the Precambrian basement surface elevations are unknown. The individual voxel elements are 2,000 by 2,000 meters by 500 meters thick. Missing data nodes are assigned a value of -99999.

Tags: aeromagnetic-surveying, arkansas, bouguer-anomaly, bulk-density, crust-earth, geophysics, geoscientificinformation, geospatial-datasets, gravimeter-measurement, gravimetric-methods, gravitational-field-earth, illinois, indiana, iowa, kansas, kentucky, magnetic-field-earth, magnetic-susceptibility, magnetic-susceptibility-analysis, magnetometer-measurement, mississippi, missouri, oklahoma, scientific-interpretation, tennessee, topography, usgs-5ceef039e4b0fd6593c49d60
Organization: Department of the Interior
Attributes for NHDPlus Version 2.1 Reach Catchments and Modified Routed Upstream Watersheds for the Conterminous United States: National Resource Conservation Service's Best Management Practice Scenarios for Total Non-Gas Nitrogen, Phosphorous, and Sediment

This metadata record describes three best management practice scenarios for Nitrogen, Phosphorous, and Sediment based on information from the National Resource Conservation Service. The potential benefits of agricultural management practices were developed by USDA using estimates of nutrient and sediment reductions from agricultural fields due to the implementation of a suite of Best Management Practices (BMP's) (USDA, 2012). Estimates of losses were developed by the USDA Conservation Effects Assessment Program (CEAP) using a sampling and modeling approach. Data collected by the National Resources Inventory (NRI) Program were utilized to characterize representative agricultural areas for features such as soils, climate, and topography. Additional information was collected from each of those representative areas through the Conservation Effects Assessment Project (CEAP) in order to characterize current farming practices. The effects of specific agricultural management practices were simulated using a model known as the Agricultural Policy Environmental Extender (APEX) implemented on a location by location basis. Those effects were then extrapolated to watershed scales using another model known as the Soil and Water Assessment Tool (SWAT). The output from this procedure provides estimates of loss under three scenarios including: 1) a baseline defined by the conditions observed by the 2003-2006 CEAP survey; 2) an estimate of the amount of loss if no BMP's had been implemented; and 3) an estimate of loss if enhanced nutrient management had been implemented. These estimates were available at a large watershed (HUC2) scale, but were further processed using geospatial techniques and land characteristics to extend the information to the NHDPlus version 2.1 catchment scale. For use in the SPARROW models, an index was calculated as the difference between the baseline and the "no implementation" scenarios. The index was compiled for two spatial components of the NHDPlus version 2.1 data suite (NHDPlusv2) for the conterminous United States; 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. The index was intended to provide an indication of the expected aggregate benefits of the implementation of a suite of management practices.

Tags: best-management-practice, inlandwaters, nhdplus-version-2-1, nitrogen, phosphorous, sediment, usgs-5cc89237e4b09b8c0b77f247
Organization: Department of the Interior
Louisiana Barrier Island Comprehensive Monitoring Program – 2015-2016 habitat map, Acadiana Bays Region (ver. 1.1, May 2020)

The Barrier Island Comprehensive Monitoring (BICM) program was developed by Louisiana’s Coastal Protection and Restoration Authority (CPRA) and is implemented as a component of the System Wide Assessment and Monitoring Program (SWAMP). The program uses both historical data and contemporary data collections to assess and monitor changes in the aerial and subaqueous extent of islands, habitat types, sediment texture and geotechnical properties, environmental processes, and vegetation composition. Examples of BICM datasets include still and video aerial photography for documenting shoreline changes, shoreline positions, habitat mapping, land change analyses, light detection and ranging (lidar) surveys for topographic elevations, single-beam and swath bathymetry, and sediment grab samples. For more information about the BICM program, see Kindinger and others (2013).
The U.S. Geological Survey, Wetland and Aquatic Research Center provides support to the BICM program through the development of habitat map products using aerial imagery and lidar elevation data and assessing change in habitats over time. These data provide a snapshot of barrier island habitats and can be combined with other past and/or future maps to monitor these valuable natural resources over time. The current effort of this habitat mapping program includes developing habitat maps for 2008 and 2015-2016 for the following BICM regions: 1) West Chenier; 2) East Chenier; 3) Acadiana Bays (only Marsh Island); 4) Early Lafourche Delta; 5) Late Lafourche Delta; 6) Modern Delta (only Chaland Headland and Shell Island); and 7) Chandeleur Islands. Additionally, a habitat change analysis will be conducted comparing reaches mapped in 2008 and 2015-2016. The BICM program has developed two habitat classification schemes which include a detailed 15-class habitat scheme and a general eight-class habitat scheme. The detailed scheme was developed specifically for this habitat mapping effort and builds off the general scheme used in previous BICM habitat mapping efforts (Fearnley and others, 2009). The additional classes developed in the detailed scheme are primarily used to further delineate various dune habitats, separate marsh and mangrove, and distinguish between beach and unvegetated barrier flat habitats. To ensure comparability between this effort and previous BICM map products, we have crosswalked the detailed classes to general habitat classes previously used by Fearnley and others (2009).

Tags: acadiana-bays-region, barrier-islands, barrier-vegetation, beach, coastal-wetlands, dune, environment, gulf-of-mexico, habitat-map, iberia-parish, louisiana, louisiana-coastal, mangrove, marsh, remote-sensing, scrub-shrub, usgs-5cf58410e4b02598ed6582a5
Organization: Department of the Interior