AndreaBozzo/ceres-open-data-index huggingface dataset:
Structure-from-Motion Products - Prime Hook National Wildlife Refuge, Delaware - Digital Elevation Model: 2020

Aerial imagery was collected by a contractor using a fixed wing aircraft fitted with Post-Processing Kinematic (PPK) GPS, was processed using Structure-from-Motion (SfM) photogrammetry techniques to produce high-resolution orthomosaic images, three-dimensional (3D) point clouds and digital elevation models (DEMs). Surveyed Ground Control Points (GCPs) visible in the imagery are used to supplement the calculated elevation and PPK position data. This dataset, produced by the U.S. Geological Survey (USGS) MD-DE-DC Water Science Center, consists of a point cloud generated from the survey of Prime Hook National Wildlife Refuges in Delaware in order to observe annual changes.
Structure-from-Motion software, Agisoft Metashape, was used to perform processing on low-altitude digital aerial imagery acquired by a contractor utilizing a fixed wing aircraft. The aircraft has been modified with a camera port fitted with a Sony A7R camera and equipped with a custom Post-Processing Kinematic GPS device. The surveys were conducted using temporary targets (black and white, 4-square checkered pattern), and pre-existing points (road markings) distributed throughout the flight operations area as GCPs. 
This dataset was produced using the 4D method of Structure-from-Motion, combining multiple years of images and GCPs into a single project to assist in alignment. Each year's chunk was then checked, cleaned, and exported individually. 
All horizontal data are referenced to the North American Datum of 1983 (NAD83 (2011)) UTM zone 18N, and elevation is referenced to the North American Vertical Datum of 1988 (NAVD88) in meters, GEOID12B.

Tags: coastal-processes, delaware, fowler-beach, geoscientificinformation, geospatial-datasets, imagerybasemapsearthcover, location, prime-hook-national-wildlife-refuge, remote-sensing, topographic-maps, topography, u-s-geological-survey, usgs, usgs-62962738d34ec53d276ba93d
Organization: Department of the Interior
Water chemistry data from the Big Creek and Monumental Creek tributaries of the Lower Middle Fork Salmon River, Idaho, 2021

This USGS data release evaluates the impact of historical mining sites on water quality using samples collected in late July 2021 from Big Creek tributaries Coin Creek, Smith Creek, and Monumental Creek in Valley County, Idaho. These data were collected to support a fisheries mining impact assessment in the Middle Fork Salmon River. Specific conductance, pH, and stream temperature were measured in the field. Analyses include major cations and anions, alkalinity, trace metals, total mercury, and methylmercury.

Tags: abandoned-mines-and-quarries, arsenic, beaver-creek, big-creek, east-fork-south-fork-salmon-river, geology-geophysics-and-geochemistry-science-center, gggsc, idaho, mercury, methylmercury, middle-fork-salmon, mine-drainage, mineral-resources-program, mining-water-use, monumental-creek, mrp, non-point-source-pollution, salmon-river, smith-creek, stibnite, sugar-creek, trap-creek, u-s-geological-survey, usgs, usgs-628f8bbed34ef70cdba4084f, valley-county, water-chemistry, water-quality, water-sampling, west-fork-monumental-creek
Organization: Department of the Interior
Mineral abundances within bulk and size-fractionated mine waste from the Tar Creek Superfund Site, Tri-State Mining District, Oklahoma, U.S.A.

Mineral abundances within bulk and size-fractionated mine waste from sampled historical waste piles from the Tar Creek Superfund Site, Oklahoma, U.S.A., were determined by Mineral Liberation Analysis (MLA) and X-Ray Diffraction (XRD). Data and methods reported are part of a research study published here:  
White, S.J.O., Piatak, N.M., McAleer, R.J., Hayes. S.M., Seal, R.R. II, Schaider, L.A., Shine, J.P. Germanium redistribution during weathering of Zn mine wastes: implications for environmental mobility and recovery of a critical minerals, Applied Geochemistry, p. 105341, https://doi.org/10.1016/j.apgeochem.2022.105341

Tags: cenozoic-era, germanium, hemimorphite, holocene-epoch, mine-wastes, oklahoma, quaternary-period, sphalerite, tar-creek, usgs-628e9ebcd34ef70cdba400d5
Organization: Department of the Interior
Total phosphorus loads estimated from tributaries and direct drainages to the Great Lakes during 2012–2018 using the model load ratio approach and the unit area load approach

In this data release, we provide the data used to compute total annual phosphorus loads from tributaries and direct drainages to the Great Lakes during 2012-18 using the model load ratio approach and the unit area load approach and the resulting annual loads for 2012–18. This data release consists of: (1) measured loads at 24 sites, computed using the surrogate regression approach (Robertson et al., 2018; Koltun, 2020) that were monitored as part of the Great Lakes Restoration Initiative project, (2) estimated annual loads at point source facilities throughout the Great Lakes Basin obtained from the U.S. Environmental Protection Agency and state agencies, (3) loads subdivided into nonpoint and point source contributions, (4) extrapolation factors for each basin (nonpoint model load ratios, nonpoint yields, point source delivery factors), and (5) estimated annual loads for each tributary and direct drainage area to the Great Lakes during 2012–18.
This data release consists of three tab delimited files: (1) ReferenceSite.txt, which contains all of the information (site data and phosphorus loads from SPARROW (Robertson and Saad, 2019) and measured during 2012–18 for the 24 reference (extrapolation sites) used in this study, (2) PointSource.txt, which contains all of the measured or extrapolated point source information for wastewater treatment plants in the Great Lake Basin for 2012–18; and (3) ExtrapolatedLoads.txt, which contains all of the nonpoint model load ratios, point source delivery ratios, measured wastewater treatment plant loads, and resulting annual loads for each tributary and direct drainage area in the Great Lakes Basin for the long-term average and 2012–18.

Tags: biota, extrapolation, freshwater-ecosystems, great-lakes-basin, loads, nutrients, phosphorus, streams, usgs-628e6e39d34ef70cdba3ff9f, water-quality
Organization: Department of the Interior
Data supporting 'Linking fire-induced evapotranspiration shifts to streamflow magnitude and timing in the western United States'

The impact of wildfire on water availability is a critical issue in the western United States. Because actual evapotranspiration (ETa) constitutes the largest loss in the terrestrial water budget, it has been suggested that fire-induced ETa reduction is a primary driver of elevated post-fire discharge. Ten gaged watersheds with burns exceeding 5% of their total contributing drainage area were selected from California, Oregon, Montana, Utah, New Mexico, and Colorado. Continuous daily stream gage data were compiled, and 30-meter ETa estimates were calculated with the Operational Simplified Surface Energy Balance (SSEBop) model. Fire-induced ETa shifts were quantified with statistical tests that compared pre and post-fire monthly ETa in burned and unburned pixels; the dampening effect of scale was also evaluated by repeating tests on all pixels from the entire basin. As streamflow data are point measurements that aggregate a large spatial area, additional statistical methods were required to isolate the effect of fire from climate on baseflow and runoff. Key findings include a) significant fire-induced ETa reductions were only distinguishable in basin-scale monthly datasets when at least 73% of the basin burned, b) the effect of wildfire disturbance on streamflow magnitude was seasonably variable, c) streamflow was modified in basins with as little as 6% burned drainage area; however, shifts only persisted beyond the fifth post-fire year where more than three-quarters of the basin was fire-impacted, and d) surplus water from ETa reduction was sufficient to account for boosted fire-induced streamflow. Where fire-induced streamflow increases were not significantly correlated with ETa anomaly, other fire-impacted landscape processes may have contributed to modified runoff generation and routing. Where fire reduced ETa but streamflow shifts were not detected, compensatory ETa pathways may have consumed the excess water before it reached the gage. Findings suggest that water providers with small source-water collection areas have higher relative risk for fire-induced hydromodification than providers with larger or more diversified supply portfolios. Results also illustrate the tendency of overarching climate signals to mask or artificially boost the apparent effect of landscape disturbance on streamflow at the basin outlet.

Tags: evapotranspiration, remote-sensing, streamflow, usgs-628e58f9d34ef70cdba3feda, wildfire
Organization: Department of the Interior
Water temperature data in the Milwaukee Estuary of Lake Michigan, Milwaukee County, Wisconsin

This dataset contains water temperature data collected by boat tow on August 30, 2019 between approximately 8:00 AM and 12:15 PM Central Standard Time (CST) in the Milwaukee Estuary of Lake Michigan. The data includes measured water temperatures, depth of collection, water column depth, time of collection, and geospatial coordinates. The objective of this data collection was to produce longitudinal temperature profiles for analyses of water temperature fluctuation in the estuary in order to examine thermal interaction between the lake and river influences.

Tags: environment, great-lakes, inlandwaters, milwaukee, usgs-628e50f1d34ef70cdba3fe92, water-temperature, wisconsin
Organization: Department of the Interior
Simulated inundation extent and depth in Harriman Fjord and Barry Arm, western Prince William Sound, Alaska, resulting from the hypothetical rapid motion of landslides into Barry Arm Fjord, Prince William Sound, Alaska

This data release contains postprocessed model output from a simulation of hypothetical rapid motion of landslides, subsequent wave generation, and wave propagation. A simulated displacement wave was generated by rapid motion of unstable material into Barry Arm fjord. We consider the wave propagation in Harriman Fjord and Barry Arm, western Prince William Sound (area of interest and place names depicted in Figure 1). We consider only the largest wave-generating scenario presented by Barnhart and others (2021a, 2021b). As in Barnhart and others (2021c), we used a simulation setup similar to Barnhart and others (2021a, 2021b), but our results differ because we used different topography and bathymetry datasets. We used datasets that supported refinement of the model to a 5-meter resolution along the shorelines. This data release contains GIS files and geographically registered figures representing the maximum wave height and extent of simulated inundation along shorelines. This data release does not include simulation results related to other related phenomena (for example, current strength or the interaction of the wave with glaciers).

Tags: alaska, barry-arm, biota, d-claw, inundation, landslide, prince-william-sound, simulation-results, tsunami, usgs-628e49a3d34ef70cdba3fe79, whittier-alaska
Organization: Department of the Interior
Classes of permafrost microbial communities across the panarctic

The datasets contains  include permafrost microbial community taxanomic data at the class level from 133 samples across the panarctic.

Tags: alaska, arctic, biota, canada, greenland, methane, microbe, microbial, permafrost, russia, soil, sub-arctic, sweden, usgs-625e1b0bd34e85fa62b7a8c6
Organization: Department of the Interior
Marginal increment and age data from fin rays of endangered suckers

Data included in this data set are from suckers collected in Hagelstein Pond from 2014 through 2021. Data were collected on age, marginal increment, and marginal increment ratios from fin rays, and length of suckers captured during monthly sampling events. There are two levels of data. Fin ray data contains 409 records and the data file is 31 KB, repeat data contains 58 records and the data file is 5 KB. The data files can be linked by Vial_ID with Vial1, Vial2, or Vial3 which are codes unique to each fin ray. Data files are CSV files that are comma delimited.

Tags: aquatic-biology, ecology, endangered-species, usgs-628d5014d34ef70cdba3c4ab
Organization: Department of the Interior
Regional geophysical maps of the Great Basin, USA

Regional geophysical maps of the Great Basin, USA were generated from new and existing sources to support ongoing efforts to characterize geothermal resource potential in the western US. These include: (1) a provisional regional gravity grid that was produced from data compiled from multiple sources: data collected by the USGS and Utah Geological Survey under various projects, industry sources, and regional compilations derived from two sources: a Nevada state-wide database (Ponce, 1997), and a public domain dataset (Hildenbrand et al., 2002), (2) a regional magnetic grid derived from the North American magnetic compilation map of Bankey et al. (2002) and, (3) a regional depth-to-basement grid derived from Shaw and Boyd (2018).
References:
Bankey, V., Cuevas, A., Daniels, D., Finn, C.A., Hernandez, I., Hill, P., Kucks, R., Miles, W., Pilkington, M., Roberts, C., Roest, W., Rystrom, V., Shearer, S., Snyder, S., Sweeney, R.E., Velez, J., Phillips, J.D., and Ravat, D.K.A., 2002, Digital data grids for the magnetic anomaly map of North America, U.S. Geological Survey, Open-File Report 2002-414, https://doi.org/10.3133/ofr02414.
Hildenbrand, T.G., Briesacher, A., Flanagan, G., Hinze, W.J., Hittelman, A.M., Keller, G.R., Kucks, R.P., Plouff, D., Roest, W., Seeley, J., Smith, D.A., and Webring, M., 2002, Rationale and operational plan to upgrade the U.S. Gravity Database: U.S. Geological Survey Open-File Report 02-463, 12p. [https://pubs.er.usgs.gov/publication/ofr0246; data downloaded from the Pan-American Center for Earth and Environmental Studies (PACES) gravity database in October 2007 from URL http://paces.geo.utep.edu/research/gravmag/gravmag.shtml].
Ponce, D.A., 1997, Gravity data of Nevada, U.S. Geological Survey Digital Data Series DDS-42. https://pubs.usgs.gov/dds/dds-42/.
Shah, A.K, and Boyd, O.S., 2018, Depth to basement and thickness of unconsolidated sediments for the western United States—Initial estimates for layers of the U.S. Geological Survey National Crustal Model: U.S. Geological Survey Open-File Report 2018–1115, 13 p., https://doi.org/10.3133/ofr20181115.

Tags: depth-to-basement, geothermal-resources, gravity, magnetics, potential-field-geophysics, usgs-628d4fabd34ef70cdba3c4a4
Organization: Department of the Interior
Mapping irregularly flooded wetlands, high marsh, and salt pannes/flats along the northern Gulf of Mexico coast (ver. 2.0, June 2023)

This data release includes geospatial data for irregularly flooded wetlands and high marsh and salt pannes/flats along the northern Gulf of Mexico coast from Texas to Florida. Specifically, this release includes seven products: (1) a map highlighting the continuous probability that an area is an irregularly flooded wetland; (2) a map of irregularly flooded wetland probability reclassified into four bins; (3) a map delineating high marsh and salt pannes/flats; (4) a map from Lake Pontchartrain, Louisiana to the Florida Big Bend delineating the coverage of irregularly flooded wetlands that have Juncus roemerianus (Black needlerush) as the dominant vegetation species; (5) a spatial metadata file showing what elevation data were used for specific locations; (6) a supplemental version of the high marsh and salt pannes/flats map that has a second class for high marsh for parts of Texas where succulents and Distichlis spicata were dominant species; and (7) a dataset of supplemental project-specific field reference data collected throughout the northern Gulf of Mexico coast. 
Collectively, the products in this data release were developed using a two-step approach that utilized the best-available elevation data and satellite data from 2018 to 2020. The first step in the process was to create a probabilistic map of irregularly flooded wetlands using light detection and ranging (lidar)-derived digital elevation models (DEMs), tidal datums, and nuisance flooding levels. Monte Carlo simulations were used to propagate uncertainty in elevation-based data, and existing land cover data were used to restrict the output to coastal wetland areas. Due to the focus of this study on high marsh, these coastal wetland areas did not include tidal forested fresh wetlands. The second step was to delineate high marsh and salt pannes/flats using reference data which included project-specific data collection in collaboration with land managers and other ancillary datasets across the northern Gulf of Mexico coast. These data were combined with Sentinel-1 synthetic aperture radar imagery, multispectral optical satellite imagery from Sentinel-2, DEMs, and the irregularly flooded wetland probability layer to generate a contemporary map of high marsh and salt pannes/flats along the northern Gulf of Mexico coast. This product is the first regional map of these wetland systems across the northern Gulf of Mexico coast.

Tags: alabama, environment, florida, g121-spartina-patens-iva-frutescens-high-salt-marsh-group, g123-salicornia-spp-sarcocornia-spp-spartina-spartinae-tidal-flat-amp-panne-group, geoscientificinformation, gulf-of-mexico, habitat-map, imagerybasemapsearthcover, louisiana, marsh-ecosystems, mississippi, remote-sensing, texas, united-states-of-america, usgs-628cf979d34ef70cdba3c03b, wetland-ecosystems
Organization: Department of the Interior
Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2022, May 18th, 2022

These datasets provide early estimates of 2022 fractional cover for exotic annual grass (EAG) species and one native perennial grass species on a bi-weekly basis from May to early July. The EAG estimates are developed within one week of the latest satellite observation used for that version. Each bi-weekly release contains four fractional cover maps along with their corresponding confidence maps for: 1) a group of 16 species of EAGs, 2) cheatgrass (Bromus tectorum); 3) medusahead (Taeniatherum caput-medusae); and 4) Sandberg bluegrass (Poa secunda). These datasets were generated leveraging field observations from Bureau of Land Management (BLM) Assessment, Inventory, and Monitoring (AIM) data plots; Harmonized Landsat and Sentinel-2 (HLS) based Normalized Difference Vegetation Index (NDVI); HLS-based Normalized Difference Water Index (NDWI); other relevant environmental, vegetation, remotely sensed, and geophysical drivers; and artificial intelligence/machine learning techniques. A total of 19,415 AIM plots from years 2016 – 2021 were used to train an ensemble of five-fold regression-tree models using a cross-validation approach (each observation was used as test data once) that developed all the fractional cover maps. The geographic coverage includes arid and semi-arid rangelands in the western U.S at or below 2350-m elevation.
Note: Maps of May 6th, 2022 were developed using satellite observation data no later than April 29.
Maps of May 18th, 2022 were developed using satellite observation data no later than May 13.

Tags: annual-grass, annual-herbaceous, arizona, california, cheatgrass, colorado, exotic, great-basin, harmonized-landsat-sentinel, idaho, invasive-species, kansas, medusahead, montana, ndvi, nebraska, nevada, new-mexico, nonindigenous-species, north-dakota, noxious, oklahoma, oregon, perennial-grass, poa-secunda, red-brome, remote-sensing, rye-brome, sagebrush, soft-brome, south-dakota, texas, texas-brome, united-states, usgs-628cec40d34ef70cdba3bde3, utah, washington, western-united-states, wyoming
Organization: Department of the Interior
Structure-from-Motion Products - Prime Hook National Wildlife Refuge, Delaware - Point Cloud: 2019

Aerial imagery was collected by a contractor using a fixed wing aircraft fitted with Post-Processing Kinematic (PPK) GPS, was processed using Structure-from-Motion (SfM) photogrammetry techniques to produce high-resolution orthomosaic images, three-dimensional (3D) point clouds and digital elevation models (DEMs). Surveyed Ground Control Points (GCPs) visible in the imagery are used to supplement the calculated elevation and PPK position data. This dataset, produced by the U.S. Geological Survey (USGS) MD-DE-DC Water Science Center, consists of a point cloud generated from the survey of Prime Hook National Wildlife Refuges in Delaware in order to observe annual changes.
Structure-from-Motion software, Agisoft Metashape, was used to perform processing on low-altitude digital aerial imagery acquired by a contractor utilizing a fixed wing aircraft. The aircraft has been modified with a camera port fitted with a Sony A7R camera and equipped with a custom Post-Processing Kinematic GPS device. The surveys were conducted using temporary targets (black and white, 4-square checkered pattern), and pre-existing points (road markings) distributed throughout the flight operations area as GCPs. 
This dataset was produced using the 4D method of Structure-from-Motion, combining multiple years of images and GCPs into a single project to assist in alignment. Each year's chunk was then checked, cleaned, and exported individually. 
All horizontal data are referenced to the North American Datum of 1983 (NAD83 (2011)) UTM zone 18N, and elevation is referenced to the North American Vertical Datum of 1988 (NAVD88) in meters, GEOID12B.

Tags: coastal-processes, delaware, fowler-beach, geoscientificinformation, geospatial-datasets, imagerybasemapsearthcover, location, prime-hook-national-wildlife-refuge, remote-sensing, topographic-maps, topography, u-s-geological-survey, usgs, usgs-629623ecd34ec53d276ba904
Organization: Department of the Interior
Structure-from-Motion Products - Prime Hook National Wildlife Refuge, Delaware - Orthomosaic: 2019

Aerial imagery was collected by a contractor using a fixed wing aircraft fitted with Post-Processing Kinematic (PPK) GPS, was processed using Structure-from-Motion (SfM) photogrammetry techniques to produce high-resolution orthomosaic images, three-dimensional (3D) point clouds and digital elevation models (DEMs). Surveyed Ground Control Points (GCPs) visible in the imagery are used to supplement the calculated elevation and PPK position data. This dataset, produced by the U.S. Geological Survey (USGS) MD-DE-DC Water Science Center, consists of a point cloud generated from the survey of Prime Hook National Wildlife Refuges in Delaware in order to observe annual changes.
Structure-from-Motion software, Agisoft Metashape, was used to perform processing on low-altitude digital aerial imagery acquired by a contractor utilizing a fixed wing aircraft. The aircraft has been modified with a camera port fitted with a Sony A7R camera and equipped with a custom Post-Processing Kinematic GPS device. The surveys were conducted using temporary targets (black and white, 4-square checkered pattern), and pre-existing points (road markings) distributed throughout the flight operations area as GCPs. 
This dataset was produced using the 4D method of Structure-from-Motion, combining multiple years of images and GCPs into a single project to assist in alignment. Each year's chunk was then checked, cleaned, and exported individually. 
All horizontal data are referenced to the North American Datum of 1983 (NAD83 (2011)) UTM zone 18N, and elevation is referenced to the North American Vertical Datum of 1988 (NAVD88) in meters, GEOID12B.

Tags: coastal-processes, delaware, fowler-beach, geoscientificinformation, geospatial-datasets, imagerybasemapsearthcover, location, prime-hook-national-wildlife-refuge, remote-sensing, topographic-maps, topography, u-s-geological-survey, usgs, usgs-629623dfd34ec53d276ba901
Organization: Department of the Interior