AndreaBozzo/ceres-open-data-index huggingface dataset:
Inorganic and organic chemical composition of groundwater collected from monitoring wells located at the National Crude Oil Spill Fate and Natural Attenuation Research Site, Bemidji, Minnesota, USA 2009-2023

This dataset contains information from groundwater monitoring wells at the National Crude Oil Spill Fate and Natural Attenuation Research Site near Bemidji, Minnesota, USA. The information includes field and laboratory methods, site locations, and inorganic and organic chemistry data. Samples were collected between 2009 and 2023, and analyzed for inorganic anions: F (fluoride), Cl (chloride), Br (bromide), NO3 (nitrate), PO4 (phosphate), SO4 (sulfate), and cations: Ca (calcium), Na, (sodium), Mg (magnesium), K (potassium), Si (silicon), Sr (strontium), Al (aluminum), Fe (iron), Mn (manganese), Ba (barium), B (boron), Li (lithium), Ag (silver), As (arsenic), Be (beryllium), Bi (bismuth), Cd (cadmium), Ce (cerium),  Co (cobalt), Cs (cesium), Cr (chromium), Cu (copper), La (lanthanum), Mo (molybdenum), Ni (nickel), Pb (lead), Rb (rubidium), Sb (antimony), Se (selenium), Sn (tin), Th (thorium), Tl (thallium), U (uranium), V (vanadium), W (tungsten), and Zn (zinc). Additionally, samples were analyzed for benzene, toluene, ethylbenzene, o, m, p-xylene, total VHC (30 volatile hydrocarbons), NVDOC (non-volatile dissolved organic carbon), methane, ammonia as nitrogen, alkalinity as HCO3 (bicarbonate), and LMWOA (low molecular weight organic acids; lactate, acetate, propionate, formate, butyrate, pyruvate, and benzoate). The following analyses were performed during a select number of years: delta 13C of DIC (dissolved inorganic carbon) delta 13C of DOC, (dissolved organic carbon) and delta 2H in H2O, delta 18O in H2O. Field measurements for specific conductance, pH, and dissolved oxygen were measured daily.  Water levels were measured during the sampling events. The supporting metadata files contain site information, field and laboratory methods, water chemistry, and quality-control results. There are three tables.

Tags: beltrami, bemidji, biodegradation, contaminant-transport, dissolved-organic-compounds, environment, geochemistry, groundwater, minnesota, oil-resources, petroleum, usgs-675b25e4d34e08c81ed96ba0, water-chemistry
Organization: Department of the Interior
GPS-marked waterfowl and harrier locations from January 2019 through August 2020 in western North America

These data describe bird locations obtained from backpack-mounted GPS loggers on several species of waterfowl and of Northern Harrier captured and marked in California and Oregon. Both cursory and opportunistic quality control have been performed on these data during the course of data collection.  These methods include identification of mortalities and translational errors in digital transmission of data resulting in gross positional or temporal errors such as transposed digits.

Tags: animal-tracking, biogeography, biota, birds, canada, ecological-processes, ecology, gps-measurement, mexico, migratory-species, north-america, russia, usa, usgs-675a0bd3d34edfeb8710a8ff
Organization: Department of the Interior
Monitoring Trends in Burn Severity Thematic Burn Severity Mosaic for CONUS in 2023

The Monitoring Trends in Burn Severity (MTBS) Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period 1984 and beyond. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500 acres in the eastern U.S. are mapped across all ownerships. MTBS produces a series of geospatial and tabular data for analysis at a range of spatial, temporal, and thematic scales and are intended to meet a variety of information needs that require consistent data about fire effects through space and time. This map layer is a thematic raster image of MTBS burn severity classes for all inventoried fires occurring in CONUS during calendar year 2023. Fires omitted from this mapped inventory are those where suitable satellite imagery was not available, or fires were not discernable from available imagery.

Tags: ak, alaska, burn-severity, burned-area, continental-u-s, conus, differenced-normalized-burn-ratio, fire-location, fire-occurrence, hawaii, hi, imagerybasemapsearthcover, landsat, location, mtbs, normalized-burn-ratio, pr, prescribed-fire, puerto-rico, sentinel, united-states, us, usgs-671fe2f4d34ed0f827eaa2bc, wildfire, wildland-fire
Organization: Department of the Interior
“DelRiv 24k – LU": Land Use/Land Cover Related Data Summaries for the Delaware River Watershed Within NHD Plus HR catchments

These tabular data are the summarization of land use/land cover related variables within the Delaware River watershed at the 1:24,000 scale using the xstrm methodology.   Variables being counted as land use/land cover related include all land use and land cover data. Outputs consist of tabular comma-separated values files (CSVs), and parquet formatted files for both the local catchment and network summaries linked to the National Hydrography Dataset Plus High-Resolution (NHDPlus HR) framework by NHDPlus ID. Local catchments are defined as the single catchment within which the data are summarized. Network accumulation summaries were completed for each of these catchments and their respective upstream catchments. The summarized data tables are structured as a single column representing the catchment id values (i.e. nhdplusid) and the remaining columns consisting of the summarized variables. The downstream network summary type is not present within the dataset as no summaries were conducted using that summary type.
Additionally, for a full description of the variables included within these summaries see xstrm_nhdhr_lulc_delaware_river_datadictionary.csv in the attached files.
The xstrm local summary methodology takes either raster or point data as input then summarizes those data by "zones" (hereafter referred to as catchment(s)), in this case the NHDPlus HR catchments. The network summaries then take the results from the local summaries and calculates the desired network summary statistic for the local catchment and its respective upstream or downstream catchments.
As a note concerning use of these data, any rasters summarized within this process only had their cells included within a catchment if the center of the raster cell fell within the catchment boundary. However, the resolution of the input raster data for these summaries was considered to provide completely adequate coverage of the summary catchments using this option and given computing power limitations. If a confirmed complete coverage of a catchment is desired (even if a raster cell only is minimally included within the catchment) then it is recommended to rerun the xstrm summary process with the "All Touched" option set to True.
Further information on the Xstrm summary process can be found at the Xstrm software release pages:
Xstrm: Wieferich, D.J., Williams, B., Falgout, J.T., Foks, N.L. 2021. xstrm. U.S. Geological Survey software release. https://doi.org/10.5066/P9P8P7Z0.
Xstrm Local: Wieferich, D.J., Gressler B., Krause K., Wieczorek M., McDonald, S. 2022. xstrm_local Version-1.1.0. U.S. Geological Survey software release. https://doi.org/10.5066/P98BOGI9.

Tags: agriculture, barren-lands, cities, delaware, forest, geographic-information-systems, geoscientificinformation, geospatial-datasets, hydrographic-datasets, hydrographic-features, hydrology, inlandwaters, land-use-and-land-cover, new-jersey, new-york, pennsylvania, structure, usgs-6759b7a3d34edfeb8710a44c
Organization: Department of the Interior
Soil carbon and plant cover data for uninvaded and cheatgrass invaded sites in Grand Junction, Colorado and Rock Springs, Wyoming

Soil data includes carbon (total, organic, mineral-associated, particulate-organic) and texture. Bulk density data includes bulk density values used to calculate carbon stocks. Plant data includes microsite coverage percents and sagebrush demographics. Data is from uninvaded and cheatgrass invaded points near Grand Junction, Colorado and Rock Springs, Wyoming in October and November 2023.

Tags: artemisia-tridentata, biota, bromus-tectorum, carbon-sequestration, cheatgrass, colorado, environment, great-basin, invasive-species, land-use-and-land-cover, natural-resource-management, sagebrush, shrubland-ecosystems, soil-carbon, soil-chemistry, soil-sciences, usgs-6758cf94d34edfeb871029e5, vegetation, wyoming
Organization: Department of the Interior
Fish sampling data, water temperature data, and groundwater spring location data from the upper Snake River basin, WY, 2021-2023

Fish sampling data, stream temperature data, and observations of the locations of groundwater springs within the upper Snake River basin, Wyoming.  These datasets were created to assess how stream temperature and groundwater spring sources are associated with the growth and production of young-of-year Yellowstone cutthroat trout (Oncorhynchus virginalis bouvieri; formerly Oncorhynchus clarkii bouvieri). Surveys were collected in tributaries and rivers within the upper Snake River Basin, Wyoming. The fisheries data represents seasonal sampling of young-of-year Yellowstone cutthroat trout (2021 - 2023) using dipnetting and standard backpack electrofishing methods. The stream temperature data were purposively collected in streams where we collected fish data.  The groundwater spring data were opportunistically collected across the study area.  Data were collected by the U.S. Geological Survey and the University of Wyoming and/or affiliated field crews with support from the U.S. Geological Survey, the University of Wyoming, and the Wyoming Game and Fish Department.

Tags: biota, fish, groundwater-spring, snake-river, stream-temperature, usgs-67586e64d34ebb495ab0181c, wyoming
Organization: Department of the Interior
Particle size distribution of MIS 5a aeolianites across windward islands of the Bahamas (Great Abaco, Eleuthera, San Salvador, and Long Island)

Recent Quaternary carbonate island sediment preservation along low-latitude coastal regions, such as in the Bahamas, contain sediment sourced from adjacent marine environments during interglacial intervals. During these interglacial intervals, denoted by odd-numbered Marine Isotope Stages (e.g., MIS 1, 3, 5), sea levels are at a highstand relative to glacial periods (e.g., MIS 2, 4, 6). Samples analyzed in this study focused on deposition following the Last Interglacial (LIG) highstand, particularly the relatively less-understood MIS 5a, defined in this region as the Whale Point Formation (WPF) (Kindler and Hearty, 2022).
Here, we present laser diffraction particle size analyses (PSA) from a Beckman Coulter LS 13 320 XR instrument located in the Bascom Laser Diffraction Sedimentology Laboratory in Reston, VA. The PSA data represent aeolianites from the windward coastlines of Great Abaco, Eleuthera, San Salvador, and Long Island from MIS 5 and MIS 1. The overall distributions are unimodal, however, for Eleuthera, distinct bimodal distributions were observed.
Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
Reference: Kindler, P., &amp; Hearty, P. J., 2022, The Whale Point Formation: A stratigraphic record of high-frequency climate and sea-level fluctuations in the Bahamas during Marine Isotope Stage 5a (ca. 80 ka BP). Sedimentary Geology, vol. 432, pp. 106-107, doi: https://doi.org/10.1016/j.sedgeo.2022.106107

Tags: aeolianites, bahamas, beckman-coulter, biota, eleuthera, eleuthera-island, fbgc, florence-bascom-geoscience-center, grain-size-analysis, great-abaco, great-abaco-island, laser-diffraction, long-island, particle-size, san-salvador, san-salvador-island, sedimentology, u-s-geological-survey, usgs, usgs-6720fd14d34ed0f827eaa6d7
Organization: Department of the Interior
LANDFIRE 2023 Vegetation Condition Class (VCC) HI

LANDFIRE’s (LF) 2023 Vegetation Condition Class (VCC) is a reclassification and categorization of the LF 2023 Vegetation Departure (VDep) product. VCC indicates the general level to which current vegetation is different from the simulated historical reference condition. Therefore, VCC is a derivative of VDep; the VDep product indicates how different current vegetation is compared to the estimated historical reference condition, and is based on change to species composition, structure, and canopy closure.  
Condition classes for VCC are defined in two ways; the original 3 category system from Fire Regime Condition Class Guidebook (FRCC Guidebook), and a newer 6 category system that provides additional thematic detail. For the original 3-category system, the VDep value is reclassified as: Condition Class I: VDep value from 0 to 33 (Low Departure), Class II: VDep value between 34 - 66 (Moderate Departure), and Condition Class III: VDep value from 67 to 100 (High Departure). The 6-category system provides more detail and is collapsible to the 3-category system. The 6 VCC categories are defined as: Condition Class I.A: VDep between 0 and 16 (Very Low Departure), Condition Class I.B: VDep between 17 and 33 (Low to Moderate Departure); Condition Class II.A: VDep between 34 and 50 (Moderate to Low Departure); Condition Class II.B: VDep between 51 and 66 (Moderate to High Departure); Condition Class III.A: VDep between 67 and 83 (High to Moderate Departure), and Condition Class III.B: VDep between 84 and 100 (High Departure).

Tags: biota, fires, geographic-information-systems, geospatial-datasets, hawaii, hazard-preparedness, hi, image-collections, imagerybasemapsearthcover, landfire-2023, lf-2023, raster-digital-data, remote-sensing, u-s-forest-service-usfs, u-s-geological-survey-usgs, united-states, us, usgs-673b9db8d34e689449dca997, vcc, vegetation-condition-class
Organization: Department of the Interior
Vegetation cover from a precipitation manipulation experiment at the Spruce Gulch Wildlife and Research Preserve, Colorado

These data consist of plot-level plant species cover measurements from a precipitation manipulation experiment located in the Spruce Gulch Wildlife and Research Reserve near Boulder, Colorado. This data release consists of absolute percent live foliar cover measurements of all plant species within each plot for the years 2011, 2012, 2013, 2020, 2021, 2022, and 2023. From 2011-2013, plots received one of three precipitation manipulations over the winter (October through March) and summer (April-September): 'reduce' = 50 percent reduction in ambient precipitation, 'increase' = 50 percent increase in ambient precipitation, or 'ambient' = no manipulation of precipitation. Precipitation was reduced through the use of rain-out shelters that blocked precipitation from half of each plot. Precipitation was increased by irrigating plots using water from a local well. The 'increase' precipitation treatments were discontinued after 2013, and thus some winter and summer precipitation treatments for plots were reassigned in 2020-2023.

Tags: biota, bromus-tectorum, cheatgrass, droughts, field-inventory-and-monitoring, precipitation-atmospheric, succession-biological, usgs-674f7e6bd34e5a48687db28a
Organization: Department of the Interior
JPEG formatted images of EdgeTech SB-512i and SB-424 chirp seismic-reflection profiles collected by the U.S. Geological Survey offshore of Massachusetts between Duxbury and Hull (DH_SeismicProfiles)

These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Coastal and Marine Geology Program, Woods Hole Science Center (WHSC). Initiated in 2003, the primary objective of this program is to develop regional geologic framework information for the management of coastal and marine resources. Accurate data and maps of sea-floor geology are important first steps toward protecting fish habitat, delineating marine resources, and assessing environmental changes due to natural or human impacts. The project is focused on the inshore waters (5-30 m deep) of Massachusetts between the New Hampshire border and Cape Cod Bay. Data collected for the mapping cooperative have been released in a series of USGS Open-File Reports (https://woodshole.er.usgs.gov/project-pages/coastal_mass/). This spatial dataset is from the study area located between Duxbury and Hull Massachusetts, and consists of high-resolution geophysics (bathymetry, backscatter intensity, and seismic reflection) and ground validation (sediment samples, video tracklines and bottom photographs). The data were collected during four separate surveys conducted between 2003 and 2007 (NOAA survey H10993 in 2003, USGS-WHSC survey 06012 in 2006, and USGS-WHSC surveys 07001 and 07003 in 2007) and cover more than 200 square kilometers of the inner continental shelf.

Tags: 424, 512i, atlantic-ocean, boston-south-shore, brant-rock, cape-cod-bay, chirp, cmgp, coastal-and-marine-geology-program, duxbury-bay, duxbury-beach, edgetech, geoscientificinformation, hull-bay, image, image-collections, jpeg, marine-geology, marine-geophysics, marshfield, massachusetts, massachusetts-bay, nantasket-beach, north-america, oceans, r-v-megan-t-miller, r-v-rafael, scituate, seafloor, segy, seismic-profile, seismic-reflection, sub-bottom-profiling, subbottom, u-s-geological-survey, united-states, usgs, usgs-672100e7-9a3c-46b0-aa39-a2bc05c983f8, whsc, whsc-field-activity-serial-number-06012, whsc-field-activity-serial-number-07001, woods-hole-science-center
Organization: Department of the Interior
Digital elevation model of the lava dome in the crater of Mount St. Helens, August 29, 1984

The catastrophic, explosive eruption of Mount St. Helens, Washington, on May 18, 1980, is the most well-known eruption of the volcano. Less well known is the May 18 eruption marked the beginning of a period of eruptive activity that lasted through 1986. Beginning in October 1980, a series of 17 dome-building episodes added millions of cubic meters of lava to the crater floor. Most of the growth occurred when magma extruded onto the surface of the dome, forming lava flows up to approximately 198 to 396 meters (650 to 1,300 feet) long and 20 to 40 meters (65 to 130 feet) thick.
This data release is a 1-meter resolution digital elevation model (DEM) and a corresponding hillshade raster derived from a previously unpublished 1:2,000 scale topographic contour map, based on aerial photographs taken on August 29, 1984, created by USGS for use during the response to the eruption.

Tags: cascade-range, dem, elevation, geology, geoscientificinformation, lava, mount-saint-helens, mount-saint-helens-national-volcanic-monument, pacific-northwest, united-states-of-america, usgs-67533bded34e5c4500cfdf97, volcanic-activity, volcanoes, volcanology, washington
Organization: Department of the Interior
LANDFIRE 2023 Succession Class (SClass) HI

LANDFIRE’s (LF) 2023 Succession Class (SClass) categorizes current vegetation composition and structure into up to five successional classes, with successional classes defined in the appropriate Biophysical Settings (BpS) Model. There are two additional categories for uncharacteristic species (exotic or invasive vegetation), and uncharacteristic native vegetation cover, structure, or composition. Current successional classes and their historical reference conditions are compared to assess departure of vegetation characteristics. The classification schemes used to produce BpS and SClass may vary slightly between adjacent map zones, and reference conditions may be simulated independently in different map zones for the same BpS.

Tags: biota, fires, geographic-information-systems, geospatial-datasets, hawaii, hazard-preparedness, hi, image-collections, imagerybasemapsearthcover, landfire-2023, lf-2023, raster-digital-data, remote-sensing, sclass, succession-class, u-s-forest-service-usfs, u-s-geological-survey-usgs, united-states, us, usgs-673b9d74d34e689449dca98f
Organization: Department of the Interior
Surface Water and Groundwater Hydrology and Temperature, Beaver Creek, Kenai Peninsula, Alaska, 2022-2023

This data release contains measurements from continuous monitors of stream temperature, groundwater temperature, and well water levels, and discrete measurements of discharge and stream shading.

Tags: alaska, climate-change, environment, freshwater-ecosystems, geoscientificinformation, ground-water, groundwater, hydrology, kenai-peninsula, rivers-streams, stream-discharge, streamflow, usgs-672132c1d34ed0f827eaad60, water-resources, water-temperature, wetland-ecosystems
Organization: Department of the Interior
LANDFIRE 2023 Existing Vegetation Type (EVT) HI

LANDFIRE's (LF) 2023 update (LF 2023) Existing Vegetation Type (EVT) represents the current distribution of the terrestrial ecological systems classification developed by NatureServe for the western hemisphere. In this context, a terrestrial ecological system is defined as a group of plant community types that tend to co-occur within landscapes with similar ecological processes, substrates, and/or environmental gradients. See the EVT product page (https://landfire.gov/vegetation/evt) for more information about ecological systems and NVC classifications.  
EVT is mapped using decision tree models, field data, Landsat imagery, topography, and biophysical gradient data. Decision tree models are developed separately for tree, shrub, and herbaceous lifeforms which are then used to produce a lifeform specific EVT product. These models are generated for each Environmental Protection Agency (EPA) Level III Ecoregion (https://www.epa.gov/eco-research/ecoregions). Riparian, alpine, sparse, and other site-specific EVTs are constrained by predetermined masks. 
In LF 2023 Conterminous United States (CONUS) extent, LF will map the lifeform, cover, and height of existing vegetation in areas that were mapped as disturbed over the last twenty years (see LF Annual Disturbance products) using machine learning methods. These disturbed areas were the focus because they are the areas that have changed the most since LF 2016 Remap. To learn more about this new methodology for LF EVC, EVH, and Existing Vegetation Type (EVT) go to https://landfire.gov/data/lf2023.

Tags: biota, evt, existing-vegetation-type, fires, geographic-information-systems, geospatial-datasets, hawaii, hazard-preparedness, hi, image-collections, imagerybasemapsearthcover, landfire-2023, lf-2023, oconus, raster-digital-data, remote-sensing, u-s-forest-service-usfs, u-s-geological-survey-usgs, united-states, us, usgs-673b9d33d34e689449dca98b
Organization: Department of the Interior
Hydrogeomorphic Map of the Neversink Reservoir Watershed, New York

This Scientific Data Release is for a spatial geodatabase containing hydrogeomorphic map units within the Neversink Reservoir Watershed, New York, formatted to Geologic Map Schema (GeMS) standards. Hydrogeomorphic map units within this data release are defined as areas with distinct topographic and hydrologic characteristics, which includes both surficial geologic deposits and regions of bedrock outcrop. Map units were identified and delineated using a combination of both field observations and remote sensing techniques, including deep-learning models for image classification, and visual analysis of terrain imagery from LiDAR-derived 1-meter resolution elevation models.

Tags: geologic-maps, geoscientificinformation, groundwater, headwater-streams, hydrogeology, neversink-river, new-york, sullivan-county-ulster-county, unconsolidated-deposits, usgs-67420a9dd34ee9723e5401d7
Organization: Department of the Interior