AndreaBozzo/ceres-open-data-index huggingface dataset:
Geochemistry data collected (1985-2015) for understanding the evolution of groundwater-contaminant plume chemistry emanating from legacy contaminant sources, an example from a long-term crude oil spill near Bemidji, Minnesota

This U.S. Geological Survey (USGS) Data Release is focused on the geochemistry of wells within the oil zone and groundwater monitoring wells away from the oiled zone at the National Crude Oil Spill Fate and Natural Attenuation Research Site, Bemidji MN (USA) from 1985-2015. The site located in Beltrami County is where a high-pressure pipeline carrying crude oil burst in 1979 and spilled approximately 1.7 million liters (10,700 barrels) of crude oil into glacial outwash deposits. Researchers and scientists from government agencies, academic institutions, the regulatory community, and private companies have conducted extensive investigations of groundwater geochemistry in hopes of understanding the evolution of plumes and the fate of the hydrocarbons within them. Laboratory measurements of BTEX (Benzene, Toluene, Ethylbenzene, o, p, m-Xylene), Total VHC (Volatile (30) hydrocarbons), NVDOC (Non-Volatile Dissolved Organic Carbon), CH4 (methane), FeT (Iron Total), Mn2+ (Manganese), Si (Silicon), NH4+ (ammonium), AsT (Arsenic Total), Alkalinity as HCO3- (Bicarbonate), Cl (Chloride), Acetate, Formate, and Propionate (Organic Acid Anions), and δ13C of DIC (Dissolved Inorganic Carbon) are included in this data release. There are six files (*.xlsx and *.csv) in this dataset: 1) Data Dictionary, 2) Water/Oil Chemistry in the North and South Oil Pools in 2010, 3) Benzene/Naphthalene ratios in oil and water, 4) Selected volatile and semi-volatile aromatic hydrocarbons in the North Oil Pool (2010-2015), 5) Concentrations of δ13C of DIC and methane from 1985 to 2015, and 6) Concentrations of NVDOC from 1986 to 2015.

Tags: alkalinity, alkylbenzenes, ammonium, arsenic, beltrami, bemidji, bicarbonate, biochemistry, biodegradation, btex, carbon-isotope-analysis, chromatography, contaminant-transport, crude-oil-spill, dissolved-organic-compounds, environment, gas-chromatography, geochemistry, groundwater, groundwater-monitoring, hydrocarbons, light-non-aqueous-phase-liquid, liquid-chromatography, manganese, mass-spectroscopy, methane, methanogenesis, minnesota, naphthalene, national-crude-oil-spill-fate-and-natural-attenuation-research-site, natural-attenuation, non-volatile-dissolved-organic-carbon, nutrient-content-water, oil-resources, organic-acid-anions, petroleum, salinity, silicon, toxic-trace-element-contamination, usgs-6116ca37d34e3267c611c018, volatile-hydrocarbons, water-chemistry, water-properties, water-sampling
Organization: Department of the Interior
A circa 2010 global land cover reference dataset from commercial high resolution satellite data

The data are 475 thematic land cover raster’s at 2m resolution. Land cover classification was to the land cover classes: Tree (1), Water (2), Barren (3), Other Vegetation (4) and Ice &amp; Snow (8). Cloud cover and Shadow were sometimes coded as Cloud (5) and Shadow (6), however for any land cover application would be considered NoData. Some raster’s may have Cloud and Shadow pixels coded or recoded to NoData already. Commercial high-resolution satellite data was used to create the classifications. Usable image data for the target year (2010) was acquired for 475 of the 500 primary sample locations, with 90% of images acquired within ±2 years of the 2010 target. The remaining 25 of the 500 sample blocks had no usable data so were not able to be mapped. Tabular data is included with the raster classifications indicating the specific high-resolution sensor and date of acquisition for source imagery as well as the stratum to which that sample block belonged. Methods for this classification are described in Pengra et al. (2015).  A 1-stage cluster sampling design was used where 500 (475 usable), 5 km x 5 km sample blocks were the primary sampling units (note; the nominal size was 5km x 5km blocks, but some have deviations in dimensions due only partial coverage of the sample block with usable imagery). Sample blocks were selected using stratified random sampling within a sample frame stratified by a modification of the Köppen Climate/Vegetation classification and population density (Olofsson et al., 2012). Secondary sampling units are each of the classified 2m pixels of the raster. This design satisfies the criteria that define a probability sampling design and thus serves as the basis to support rigorous design-based statistical inference (Stehman, 2000).

Tags: biota, imagerybasemapsearthcover, land-use-and-land-cover, usgs-6116c890d34e3267c611bfdd, validation
Organization: Department of the Interior
Low-Altitude Photographic Transects of the Arctic Network of National Park Units and Selawik National Wildlife Refuge, Alaska, July 2013

This data release includes 5 child items with photos and videos taken during low altitude photo survey transects in northwest Alaska, July 2013. Three flight transects were conducted from small aircraft over the National Park Service's Arctic Network (ARCN; Bering Land Bridge National Preserve, Cape Krusenstern National Monument, Gates of the Arctic National Park and Preserve, Kobuk Valley National Park, and Noatak National Preserve) and the U.S. Fish and Wildlife Service's Selawik National Wildlife Refuge.
      The aerial photo surveys were flown for the WildCast Project (WILDlife Potential Habitat ForeCASTing), a collaboration of the U.S. Geological Survey, National Park Service, U.S. Fish and Wildlife Service, and U.S.D.A. Forest Service. WildCast was devised to provide models for projecting future land cover and wildlife habitat conditions in northwest Alaska under potential scenarios of climate change, and to provide an image database for future change-comparison research. More information is available at: https://www.usgs.gov/centers/alaska-science-center/science/wildlife-potential-habitat-forecasting-framework-wildcast#overview
      Child Item 1: "Flight Path GPS Logs and Browse Maps of Low-Altitude Transects of the Arctic Network of National Park Units and Selawik National Wildlife Refuge, Alaska, July 2013"
      Child Item 2: "Nadir Photographs Taken During Low-Altitude Transects of the Arctic Network of National Park Units and Selawik National Wildlife Refuge, Alaska, July 2013"
      Child Item 3: "Oblique Photographs Taken During Low-Altitude Transects of the Arctic Network of National Park Units and Selawik National Wildlife Refuge, Alaska, July 2013"
      Child Item 4: "Nadir Videos Taken During Low-Altitude Transects of the Arctic Network of National Park Units and Selawik National Wildlife Refuge, Alaska, July 2013"
      Child Item 5: "Oblique Videos Taken During Low-Altitude Transects of the Arctic Network of National Park Units and Selawik National Wildlife Refuge, Alaska, July 2013"

Tags: aerial-photography, alaska, arctic-network, bering-land-bridge-national-preserve, biota, cape-krusenstern-national-monument, climate-change, coastal-ecosystems, ecotypes, environment, frozen-ground, gates-of-the-arctic-national-park, gates-of-the-arctic-national-preserve, geography, geomorphic-landforms-processes, geoscientificinformation, image-analysis, image-collections, imagerybasemapsearthcover, inlandwaters, kobuk-valley-national-park, land-cover, land-surface, land-use-and-land-cover, land-use-land-cover, landscape, low-altitude-air-photo, low-altitude-video, noatak-national-preserve, northwest-alaska, northwest-arctic-borough, photogrammetry, selawik-national-wildlife-refuge, tundra-ecosystems, usgs-611595d4d34e3267c61166ce, vegetation, videography
Organization: Department of the Interior
Sightings data for a note on the "First Documentation of Long-Distance Travel by a Florida Manatee to the Mexican Caribbean"

West Indian manatees (Trichechus manatus) are separated into two allopatric subspecies: the Florida manatee (T. m. latirostris) and the Antillean manatee (T. m. manatus). In the winter of 2020-2021, an adult manatee was sighted off the coast of Cancun, Quintana Roo, Mexico, in areas where Antillean manatees are not typically seen.  The individual had distinct watercraft scars on its body, which were matched using photo-identification to a known male Florida manatee (PE424) that had been repeatedly photographed in Florida since 1998. The data presented are the verified photo-documented sightings history of PE424 from Florida and Mexico.

Tags: florida, fort-lauderdale, fort-pierce, manatees-sea-cows, melbourne, mexico, movement, photography, quintana-roo, united-states, usgs-61155138d34ef38cf11d4612, utilitiescommunication
Organization: Department of the Interior
Data Compilation for Hydrologic and inundation Analysis for Clark County, South Dakota, U.S.A.

This data release is a compilation of information for hydrologic characteristics of groundwater and surface water within Clark County, South Dakota and around selected lakes (Dry Lake #1 and #2, and Antelope Lake). Information is organized into two broad categories (besides the folder for the Clark County ScienceBase landing page shapefile); reports and maps, and geographic information systems (GIS) data sources.

Tags: bathymetry, groundwater, groundwater-level, surface-water-non-marine, usgs-61154e7fd34ef38cf11d43eb
Organization: Department of the Interior
Daily reference and potential evapotranspiration, and supporting meteorological data from the North American Regional Reanalysis, solar insolation data from the GOES satellite, and blue-sky albedo data from the MODIS satellite, Florida, 2020

Potential evapotranspiration (PET), and reference evapotranspiration (ETo) are estimated on an approximately 2-kilometer (approximately 0.019 degrees longitude and 0.018 degrees latitude) spatial grid and at a daily time-scale from January 1, 2020 to December 31, 2020 for the entire State of Florida. PET and ETo were computed on the basis of solar radiation, meteorological data (min/max temperature, min/max relative humidity, and mean wind speed at 2-meter height), and shortwave blue-sky albedo data for 2020.  Solar radiation was computed from Geostationary Operational Environmental Satellite (GOES) sensor data, blue-sky albedo was computed from the Moderate Resolution Imaging Spectrometer (MODIS) MCD43A1 BRDF/Albedo data product, and meteorological data were obtained from the National Centers for Environmental Prediction (NCEP) North American Regional Reanalysis (NARR). The average daily ETo and PET rates were 3.62 and 3.63 millimeters per day, respectively. Open source tools for managing the NetCDF files in this data release can be found at https://github.com/jbellino-usgs/Florida-GOES-ET.

Tags: evapotranspiration, north-florida-water-management-district, potential-evapotranspiration, reference-evapotranspiration, solar-radiation, south-florida-water-management-district, south-west-florida-water-management-district, st-johns-river-water-management-district, state-of-florida, suwannee-river-water-management-district, usgs-61145925d34ed11898f888c2, water-budget
Organization: Department of the Interior
Remotely sensed fine fuel data for Buenos Aires National Wildlife Refuge (BANWR) from 2015 to 2020

These data were compiled to estimate fine-fuel abundance and distribution across the Buenos Aires National Wildlife Refuge in southern Arizona, USA. The objectives of the study were to develop and validate annual estimates of fine fuel (biomass of herbaceous vegetation) for the refuge and to assess changes in fine fuels through time in response to wildfire and prescribed fire. These data represent the amount of herbaceous biomass or fine fuels (kg/ha) present at a 10-m resolution derived from in-situ estimates of ground cover modeled with satellite imagery. These satellite image data were collected over the Buenos Aires National Wildlife Refuge during leaf-on (August) and leaf-off (November) time periods annually from 2015-2020, by the European Space Agency's Sentinel-2A MSI. In-situ field data were collected in the Buenos Aires National Wildlife Refuge from 2012-2015 by the U.S. Fish and Wildlife Service. These data can be used to understand changes in fine fuel distribution through time and to assess impacts of wild and prescribed fire on fuel loads.

Tags: 10-m-resolution, abundance, arizona, biomass, biota, buenos-aires-national-wildlife-refuge, data-release, distribution, environment, environmental-management, field-sampling, fine-fuels, fire-management, fires, fuel-loading, fuel-loads, grasslike-plants, ground-cover, herbaceous-vegetation, image-collections, in-situ, leaf-off, leaf-on, mixed-modeling, natural-resource-management, pima-county, plant-biomass, pre-fire-conditions, prescribed-fire, remote-sensing, sentinel-2a-msi-data, southern-arizona, temporal-change, usgs-61140720d34ed11898f832b6, vegetation, wildfire-risk, wildfires
Organization: Department of the Interior
Suspended-sediment, bedload, bed-sediment, and multibeam sonar data in the Chippewa River, WI

These data were compiled for analyses of sediment transport within the Chippewa River, WI. Objective(s) of our study were to determine sand loads contributed by the Chippewa River to the Mississippi River. These data include physical suspended-sediment samples, acoustical suspended-sediment measurements, acoustical suspended-sediment loads, quasi-continuous measurements of bed-elevation, multibeam sonar survey data, and longitudinal profiles of the bed-elevation at certain locations. These data were collected in the Chippewa River in 2018 and 2019. Acoustical suspended-sediment data also include data from March and April 2020. These data were collected by the USGS Grand Canyon Monitoring and Research Center and Upper Midwest Water Science Center. These data include both physical samples and remotely sensed data using sensors including acoustic Doppler profilers and multibeam sonar. These data can be used to analyze sediment-transport data and temporal trends in sediment transport within the Chippewa River.

Tags: acoustic-doppler-current-profiling, acoustic-doppler-profiler, acoustical-suspended-sediment-data, acoustical-suspended-sediment-loads, acoustical-suspended-sediment-measurements, bed-elevation, bedform-geometry-data, bedforms, bedload-data, chippewa-river, discharge, doppler-radar-imaging, dredging, dredging-operations, durand, elevation, environment, field-inventory-and-monitoring, inlandwaters, longitudinal-profile, lower-chippewa-river, mississippi-river, modified-einstein-method, multibeam-sonar, multibeam-sonar-survey-data, pepin, physical-samples, physical-suspended-sediment-samples, remote-sensing, remotely-sensed-data, sand-loads, sediment-transport, stream-discharge, suspended-material-water, topography, usgs-61140695d34ed11898f8329f, wisconsin
Organization: Department of the Interior
Local-scale selection of wellpads for restoration generated by the Prioritizing Restoration of Sagebrush Ecosystems Tool (PReSET) applied in Southern Wyoming associated with Figure 5 in Duchardt et al. 2021

All data layers included in this data release were created using the Prioritizing Restoration of Sagebrush Ecosystems Tool (PReSET) tool, which relies on spatial inputs on species distributions and likelihood of restoration success to select parcels for sagebrush restoration. The PReSET is a workflow that relies on the prioritizr package in program R to identify parcels for effective and meaningful sagebrush restoration. Inputs into the tool included occupancy data layers for six focal species (Brewer’s sparrow (Spizella breweri), sagebrush sparrow (Artemisiospiza nevadensis), sage thrasher (Oreoscoptes montanus),  greater sage-grouse (Centrocercus urophasianus), pronghorn (Antilocapra americana) and greater short-horned lizard (Phrynosoma hernandesi) generated within the Sagebrush Ecosystem Conservation and Management: Ecoregional Assessment Tools and Models for the Wyoming Basins (Hanser et al. 2011). The layer to assess restoration suitability was predicted time to sagebrush recovery (Monroe et al. 2021; https://doi.org/10.5066/P9XV8GH7).
Spatial polygons associated with Figure 5 in Duchardt et al. 2021 include selection wellpads under projected oil and gas buildout, requiring protection of 10% of habitat for all species under no, low, moderate , and high connectivity requirements. 
PReSET tool is currently housed at USGS FORT.

Tags: biota, multi-species-management, restoration, sagebrush, spatial-conservation-prioritization, usgs-6113ed0ed34ed11898f829ad, usgs-cc-sage-steppe, usgs-ema-low-is-ecology-and-or-impacts, usgs-ema-low-is-risk-assessment-decision-science-forecasting, usgs-ema-low-mr-landscape-conservation-design-lcd, usgs-ema-low-pl-wyoming-lci, usgs-ema-low-priority-landscapes, usgs-ema-low-sb-smc-multi-species, wlci, wyoming-landscape-conservation-initiative
Organization: Department of the Interior
Bathymetric and Topographic Survey of the Platte River and associated chutes near the Nebraska Army National Guard Camp Ashland Training Site, 2019-2020

These data are the survey results from a five-mile section of the Platte River at, and upstream of the Nebraska Army National Guard Camp Ashland Training Site including the side channel chutes on the east bank. All survey data were collected along planned transect lines that were spaced 492.125 US survey feet apart beginning near the mouth of the Elkhorn River and ending near the U.S. Highway 6 bridge. An effort was made to get complete elevation data for each transect from top of bank to top of bank. Survey grade Global Navigation and Satellite Systems (GNSS) receiving antennas connected to a real time network (RTK high precision network https://hprtk.net) were used to measure elevation along the transects, at the top of banks, along the slope of the banks, at control structures, on islands and sandbars and on the streambed in areas of the wetted channel that were wadable. GNSS data collection methods followed level 3, RTN procedures as described by (Rydlund and Densmore, 2012).  An acoustic Doppler current profiler (ADCP) was used to measure streambed elevation in areas of the wetted channel that were not wadable. ADCP data were processed using Velocity Mapping Toolbox (Parsons and others, 2013) to convert measured depths to elevation. This data release contains two comma separated value files. The CSV file named PlatteRiver_GNSS_SurveyData_20200924-20210402.csv contains the GNSS survey data.  The CSV file named Bathy_ADCP_final_data_SPCS.csv contains bathymetric survey data.

Tags: ashland-east, bathymetry, bathymetry-measurement, elkhorn, geoscientificinformation, geospatial-datasets, global-positioning-system-gps-observations, gps-measurement, inlandwaters, land-surveying, lower-platte, multibeam-sonar, nebraska, platte-river, saunders, surface-water-level, surface-water-non-marine, usgs-6113eb29d34ed11898f828e5
Organization: Department of the Interior
Rasters representing differing levels of connectivity to protected lands generated by the Prioritizing Restoration of Sagebrush Ecosystems Tool (PReSET) applied in Southern Wyoming associated with Figure 4 in Duchardt et al. 2021

All data layers included in this data release were created using the Prioritizing Restoration of Sagebrush Ecosystems Tool (PReSET) tool, which relies on spatial inputs on species distributions and likelihood of restoration success to select parcels for sagebrush restoration. The PReSET is a workflow that relies on the prioritizr package in program R to identify parcels for effective and meaningful sagebrush restoration. Inputs into the tool included occupancy data layers for six focal species (Brewer’s sparrow (Spizella breweri), sagebrush sparrow (Artemisiospiza nevadensis), sage thrasher (Oreoscoptes montanus),  greater sage-grouse (Centrocercus urophasianus), pronghorn (Antilocapra americana) and greater short-horned lizard (Phrynosoma hernandesi) generated within the Sagebrush Ecosystem Conservation and Management: Ecoregional Assessment Tools and Models for the Wyoming Basins (Hanser et al. 2011). The layer to assess restoration suitability was predicted time to sagebrush recovery (Monroe et al. 2021; https://doi.org/10.5066/P9XV8GH7).
Raster layers (360x360m cell size) associated with figure 4 in Duchardt et al. 2021 include a comparison of selected cells with no connectivity requirements (PReSETnoconn_nolock.tif), with a penalty for unconnected features (PReSEThighconn_nolock.tif), and with a penalty for unconnected features and including “locked-in” protected lands (PReSEThighconn_lock.tif). 
PReSET tool is currently housed at USGS FORT.

Tags: biota, multi-species-management, restoration, sagebrush, spatial-conservation-prioritization, usgs-6113e64cd34ed11898f82744, usgs-ema-low-fwd-risk-assessment-decision-science-forecasting, usgs-ema-low-management-and-restoration, usgs-ema-low-mr-landscape-conservation-design-lcd, usgs-ema-low-pl-wyoming-lci, usgs-ema-low-priority-landscapes, usgs-ema-low-sb-smc-greater-sage-grouse, usgs-ema-low-sb-smc-migratory-birds, usgs-ema-low-sb-smc-multi-species, wlci, wyoming-landscape-conservation-initiative
Organization: Department of the Interior
Land cover classifications and associated data from treatment areas enrolled in the Phragmites Adaptive Management Framework, 2018

During 2018, uncrewed aerial vehicles (UAVs or 'drones') were used to collect spatially referenced aerial imagery from 20 management units (sites) enrolled in the Phragmites Adaptive Management Framework, a collective learning program developed by the Great Lakes Phragmites Collaborative. Management units were located in Michigan, Ohio, and Wisconsin (USA). Invasive Phragmites australis (hereafter "Phragmites") had been managed at each management units some time previously by the landowner or land manager, and aerial imagery was then collected to create cover classifications distinguishing live and dead Phragmites from the surrounding landscape using object-based image analysis with training based on ground-truth field data and photos. Standard color (RGB) imagery was collected at all 20 management units, and near-infrared (NIR) imagery was collected at 2 of the 20 management units. Accuracy for the classifications was assessed by comparing cover classifications to ground truth data via confusion matrices. The accuracy associated with generating cover classifications by RGB and NIR imagery were also compared.

Tags: biogeography, biota, invasive-species, lake-erie, lake-huron, lake-michigan, michigan, ohio, plants, plants-organisms, usgs-6113e0b6d34ed11898f82487, vascular-plants, wisconsin
Organization: Department of the Interior
Evaporation at LZ40 Platform, Lake Okeechobee, Palm Beach County, Florida, January 1, 2020 - December 31, 2020

Daily measurements of evaporation using the Bowen ratio method were made at USGS station name LZ40 (USGS site number 265405080472100), a platform-based station constructed by the South Florida Water Management District (SFWMD) at the approximate center of Lake Okeechobee, Florida. Meteorological and environmental variables were measured every 30 seconds and averaged at 15-minute resolution, including: water temperature (surface and profile), air temperature, relative humidity, wind speed, and incoming/outgoing short and longwave radiation.

Tags: bowen-ratio, evaporation, florida, lake-okeechobee, usgs-6113cb8fd34ed11898f7ee25
Organization: Department of the Interior
Adult male horse data from Conger and Frisco Herd Management Areas, Utah, USA, between 2017 and 2020

We studied the effect of castrating a proportion of the adult males in a feral horse herd to examine any effect on behavior and social associations, particularly in terms of association with mares (i.e., maintenance of a harem group). We conducted this study between 2017 and 2020 at two Herd Management Areas (HMAs) in western Utah, USA: Conger and Frisco. We conducted demographic observations year round at both HMAs to record group composition and foaling rate. We additionally recorded behavioral observations at Conger HMA.

Tags: biota, conger-mountain, feral-horse, frisco-peak, gelding, stallion, usgs-6113077ad34ed11898f7056e, usgs-ema-low-sb-smc-wild-horses, utah, wild-horse
Organization: Department of the Interior