AndreaBozzo/ceres-open-data-index huggingface dataset:
Central Valley Hydrologic Model version 2 (CVHM2): Recovery Pumping

This digital dataset contains the recovery pumping dataset used to develop the Multi Node Well (MNW2) Package in the updated Central Valley Hydrologic Model (CVHM2).  It includes well locations, well properties, and pumping rates for Recovery Pumping associated with water banking.

Tags: california, central-valley, environment, groundwater, groundwater-pumping, recovery-pumping, united-states, usgs-62bb8ce1d34e88efc5245d43, water-banking
Organization: Department of the Interior
Monthly average recharge in inches per month estimated for calendar years 2005–2015 for the watersheds of Coal Creek, Boise Creek, and Scatter Creek, King and Pierce Counties, Washington

This archive documents 1) mean monthly recharge estimated for three watersheds (Coal Creek, Boise Creek, and Scatter Creek) by a Soil Water Balance (SWB) model of the Puyallup and Chambers-Clover Basins in Pierce and King Counties, Washington and 2) the spatial extent of the Coal Creek, Boise Creek, and Scatter Creek watersheds.

Tags: environment, groundwater, king-county, pierce-county, recharge, usgs-62bb92fad34e88efc5245d4c, washington
Organization: Department of the Interior
X-ray Fluorescence Geochemistry of Columbia River Basalt Group Rocks in the Western Columbia River Gorge

This table contains geochemical data collected for whole-rock samples from the Columbia River Basalt Group in the western Columbia River Gorge in Oregon and Washington. Most samples were collected by Russell C. Evarts and Richard M. Conrey from 2002 to 2014. Samples were collected during traverses along roads, streams, ridgecrests, and other areas as part of ongoing geologic mapping. Additional samples were provided by Marvin H. Beeson. Major- and trace-element analyses were performed by X-ray fluorescence at the Peter Hooper GeoAnalytical Laboratory at Washington State University in Pullman, Washington. No normalization has been applied to these data.

Tags: beacon-rock, bonneville-dam, bridal-veil, camas, chemical-analysis, clark, columbia-river-gorge, columbia-river-gorge-national-scenic-area, geochemistry, geoscientificinformation, hood-river, lower-columbia-sandy, middle-columbia-hood, multnomah, multnomah-falls, oregon, pacific-northwest, petrology, scientific-interpretation, skamania, usgs-62bb97e6d34e88efc5245d61, washington, washougal, x-ray-fluorescence
Organization: Department of the Interior
Target-Chemical Concentrations for Assessment of Mixed-Organic/Inorganic Chemical and Biological Exposures in Private-Well Tapwater at Campbell, Wisconsin, 2021

Tapwater samples were obtained from groundwater sources on French Island, in the town of Campbell, Wisconsin.  Samples from three locations were collected multiple times over a period of three days to assess temporal variations in water quality.  Samples from an additional eight locations, were collected one time, spatially distributed around Campbell.  Due to privacy concerns, the exact location of samples are anonymized.  Concentration results for organic and inorganic contaminants and microbiology as well as quality-assurance results, are provided.  Pesticides, pharmaceutical, volatile organic compounds, semivolatile organic compounds and per- and polyfluoroalkyl substances (PFAS) were analyzed at the U.S. Geological Survey (USGS) National Water Quality Laboratory (NWQL) in Denver, Colorado.  Disinfection byproducts were analyzed at the USGS Organic Chemistry Research Laboratory (OCRL) in Sacramento, California.  Inorganic contaminants were analyzed at the USGS Redox Chemistry Laboratory (RCL) and the Analytical Trace Element Chemistry Laboratory (ATECL), Boulder, Colorado in Boulder, Colorado. Cyanotoxins were analyzed at the Organic Geochemistry Research Laboratory, Lawrence, Kansas. This data release contains the inorganic results along with the volatile organic compounds, semi-volatile organic compounds, disinfection by products, pesticide, pharmaceutical, per- and polyfluoroalkyl substance (PFAS), total coliforms, Escherichia coli and heterotrophic plate count results. Expected future updates will release the cyanotoxin results when available.

Tags: biota, environment, environmental-health, geoscientificinformation, health, inorganic-analytes, organic-contaminants, point-of-use-exposure, tapwater, united-states, usgs-62bc6d04d34ec421d4e12ac7, wisconsin
Organization: Department of the Interior
Carbon and Nitrogen in Sediments from Hg-Contaminated Streams and Lakes in Texas, Virginia, and Tennessee

Sediment samples were collected from mercury-contaminated streams and lakes in Texas, Virginia, and Tennessee and were analyzed for total carbon (TC) and total nitrogen (TN). A portion of the sample was combusted at 550 degrees C for 2 hours prior to analysis to remove the organic carbon and nitrogen, thus giving total inorganic carbon (TIC) and total inorganic nitrogen (TIN). Total organic carbon (TOC) and total organic nitrogen (TON) were calculated from these values.

Tags: biota, caddo-lake, chemical-analysis, environment, geoscientificinformation, lavaca, mercury, mercury-analysis, mercury-contamination, mercury-cycle, oak-ridge, sediment, sediment-analysis, sediment-geochemistry, sediment-pollutant-interaction, tennessee, texas, united-states, usgs-62d15a22d34eb1be78bdc495, virginia, waynesboro
Organization: Department of the Interior
Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2022 (ver 6.0, July 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.
Maps of June 3rd, 2022 were developed using satellite observation data no later than May 27.
Maps of June 15th, 2022 were developed using satellite observation data no later than June 11.
Maps of July 1st, 2022 were developed using satellite observation data no later than June 23.
First release: 2022
Revised: May 17, 2022 (ver. 2.0)
Revised: May 25, 2022 (ver. 3.0)
Revised: June 03, 2022 (ver. 4.0)
Revised: June 15, 2022 (ver. 5.0)
Revised: July 01, 2022 (ver. 6.0)

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-62bca2f5d34ec421d4e12b98, utah, washington, western-united-states, wyoming
Organization: Department of the Interior
U-Pb zircon geochronology data from Eocene igneous rocks in the Stibnite-Yellow Pine mining district and vicinity, Idaho

This data release includes laser ablation inductively coupled plasma mass spectrometry (LA-ICPMS) U-Pb zircon geochronology data to determine the ages of Challis igneous rocks in the Thunder Mountain volcanic field and dikes west of the volcanic field, especially in and near the Stibnite-Yellow Pine mining district, ID. These efforts were made to help understand the stratigraphy and lithologic characteristics of the Challis igneous rocks by determining their absolute ages.

Tags: challis, geochronology, geology-geophysics-and-geochemistry-science-center, gggsc, idaho, igneous-rocks, igneous-zircon, la-icpms, laser-ablation-inductively-coupled-plasma-mass-spectrometry, microbeam-laboratory, mineral-resources-program, mrp, radiometric-dating, sem-cathodoluminescence, stibnite, th, thorium, thunder-mountain, u-pb, u-s-geological-survey, uranium, uranium-lead-analysis, usgs, usgs-62bddd23d34e82c548ced407, yellow-pine
Organization: Department of the Interior
Borehole data for pre-Middle Jurassic basement rocks beneath the Atlantic and Gulf Coastal Plains, Florida and Alabama

Data from 316 boreholes (including coreholes) that penetrated buried pre-Middle Jurassic basement rocks that lie beneath Atlantic and Gulf Coastal Plain sedimentary deposits in Florida and Alabama were compiled from non-proprietary, mostly published sources in order to support subsurface geologic mapping, geologic interpretation of geophysical data (aeromagnetic, gravity, seismic), topical studies as in geochronology, and applications ranging from mineral, energy, and water resources to earthquake hazards. Boreholes into bedrock beneath the coastal plain near the Fall Line in Alabama reveal buried extensions of geologic units exposed in the Piedmont, and those near the Gulf coast and beneath Florida provide rare insights into deeply buried rock units that have no surface exposures. Data for each borehole include the State, a unique identifier (well_ID), borehole name or location, year drilled, land surface elevation in feet, top-of-basement depth in feet, total depth of borehole in feet, top-of-basement elevation in feet, basement penetrated by drilling in feet, depth reference (ground level, Kelly bushing, or derrick floor), lithology code, basement type, quality of lithologic data, description of pre-Cretaceous basement rock, sample (drill core or cuttings), latitude and longitude (NAD27), county or city, and reference citations. The data in comma separated values (.csv) format are accompanied by an explanation (.txt), references (.txt), and metadata (.xml). The data file uses standard abbreviations for mineral names where necessary to save space.

Tags: alabama, atlantic-coastal-plain, bedrock-geologic-units, biota, borehole-logging, cambrian, coastal-zones, core-analysis, cretaceous, devonian, drilling-and-coring, elevation, florida, mississippian, ordovician, paleozoic, pennsylvanian, precambrian, radiometric-dating, silurian, southeastern-u-s-coastal-plain, triassic, usgs-62be006fd34e82c548ced4bf
Organization: Department of the Interior
Grain-size analysis data of sediment samples from the beach and nearshore environments at the Pea Island National Wildlife Refuge DUNEX site, North Carolina in 2021

These data provide grain-size measurements from sediment samples collected as part of the USGS DUring Nearshore Event eXperiment (DUNEX) site on Pea Island National Wildlife Refuge, NC. DUNEX is a multi-agency, academic, and non-governmental organization collaborative community experiment designed to study nearshore coastal processes during storm events. USGS participation in DUNEX will contribute new measurements and models that will increase our understanding of storm impacts to coastal environments, including hazards to humans and infrastructure and changes in landscape and natural habitats. The grain-size analysis data are part of USGS field activities 2021-028-FA and 2021-032-FA and are related to field activity 2021-029-FA.

Tags: atlantic-ocean, cmhrp, coastal-and-marine-hazards-and-resources, dare, dunex, during-nearshore-event-experiment, geoscientificinformation, grab-sampling, grain-size-analysis, north-carolina, oceans, pea-island, sediment-transport, u-s-geological-survey, united-states, usgs, usgs-62be07fcd34e82c548ced4d8, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Fish, amphibian, and conductance data from Panacea Unit, St. Marks National Wildlife Refuge, FL, 2009-2016

These data are meant to support a publication "Disentangling direct and indirect effects of extreme events on coastal wetland communities" in the Journal of Animal Ecology. This dataset contains both amphibian and fish observations based on our use of plastic minnow traps.  Additionally  we present (specific) conductance values observed during our trapping periods.

Tags: amphibian, biota, fish, hurricane, panacea-unit, specific-conductance, st-marks-nwr, storm-surge, usgs-62d17d36d34e87fffb2d4ccc
Organization: Department of the Interior
Digital elevation model and single beam sonar data from the McKenzie River, Oregon, 2021

In 2021, the USGS 3D Elevation Program (3DEP) funded the collection of topo-bathymetric lidar (sometimes referred to as "green lidar") on the McKenzie River, Oregon. As part of this acquisition, lidar data were collected starting on the McKenzie River below Trail Bridge Reservoir and extending downstream roughly 125 km to its confluence with the Willamette River. Bathymetric lidar produced measurements of river bathymetry in areas of the McKenzie River channel that were generally less than 3 m in depth but did not produce measurements in deeper areas of the river. To fill the gaps in the topo-bathymetric lidar dataset (commonly referred to as "voids"), the U.S. Army Corps of Engineers funded USGS to collect boat-based sonar data and integrate the sonar and lidar data into a single digital elevation model (DEM). The datasets within this data release includes a) the final DEM of the river channel incorporating sonar and lidar data and b) underlying boat-based sonar data used to interpolate the lidar voids and c) metadata describing methods used to produce the datasets.

Tags: bathymetry, biota, digital-elevation-model, finn-rock-oregon, lidar, mckenzie-river-oregon, rainbow-oregon, sonar, springfield-oregon, usgs-62be2c27d34e82c548ced5d3, walterville-oregon
Organization: Department of the Interior
Central Valley Hydrologic Model version 2 (CVHM2): Soil Data

This digital dataset contains the soil data for the updated Central Valley Hydrologic Model (CVHM2). The soil data is based on California Department of Water Resource’s C2VSim’s fine grid model soil curve number data set (C2VSimFG Version 1.0 - Datasets; CNRA, 2011).  These values were originally obtained from the U.S. Department of Agriculture (USDA) Natural Resources Conservation Service (NRCS) Soil Survey Geographic Database (SSURGO) soil map of the State of California (USDA, 2004), and then an area-weighted average value for each hydrologic soil group within each subregion was calculated to the C2VSim element. Curve number values obtained from SSURGO were converted for use in C2VSimFG. To translate the curve number from the C2VSim grid to the CVHM2 grid, the curve number from the C2VSim that covered the largest area of a CVHM2 cell was used as zone number. There were 8 unique curve numbers in C2VSimFG. Then each of these numbers were given a different zone number for each of the four regions (Sacramento, Delta-Eastside, San Joaquin, and Tulare), resulting in 26 unique zones for CVHM2. The use of regional zones for curve numbers along with that introduced by the large scale of cell sizes (one square mile) introduces some unavoidable errors into the calculations, but this is expected for errors inherent in estimating runoff rates over such a large area without using a dedicated and complex model (Loague and Freeze, 1985).

Tags: california, central-valley, curve-number, environment, soil-data, soil-survey-geographic-database, ssurgo, united-states, usgs-62be2ca4d34e82c548ced5d5
Organization: Department of the Interior
Chesapeake Bay Nontidal Network 1985-2020: Annual loads (ver. 2.0, January 2023)

Nitrogen, phosphorus, and suspended-sediment loads, and changes in loads, in major rivers across the Chesapeake Bay watershed have been calculated using monitoring data from the Chesapeake Bay Nontidal Network (NTN) stations for the period 1985 through 2020. Nutrient and suspended-sediment loads and changes in loads were determined by applying a weighted regression approach called WRTDS (Weighted Regression on Time, Discharge, and Season). The load results represent the total mass of nitrogen, phosphorus, and suspended sediment that was exported from each of the NTN watersheds. The file containing annual loads for all applicable NTN monitoring stations is provided in the "Attached Files" section.
First posted: July 25, 2022 (available from author)
Revised: January 2023 (version 2.0)

Tags: chesapeake-bay-watershed, delaware, kalman-filtering, load-analysis, maryland, new-york, nitrogen, nutrients, pennsylvania, phosphorus, rivers, suspended-sediment, trends, united-states, usgs-62bf08fbd34e82c548ced826, virginia, washington-dc, water-quality, weighted-regression, west-virginia, wrtds, wrtds-kalman
Organization: Department of the Interior
Mangrove Species Dominance Map of Pohnpei, Federated States of Micronesia as Modeled by a K-Nearest Neighbor (KNN) Model

Mangrove species dominance on Pohnpei island, Federated States of Micronesia was modeled with two geospatial model types: k-nearest neighbor (KNN) and random forest (RF) and a common set of predictors. Dominant mangroves were defined as species comprising the largest basal area per field plot. The KNN model produced one map, which shows all species' dominance locations in one raster layer. The KNN model results were the best based on field data and in field knowledge of the area. The KNN RStudio model and resulting map are shared here.

Tags: forest-resources, geospatial-analysis, modeling, usgs-62bf0f6dd34e82c548ced842
Organization: Department of the Interior
Hawaiian Islands downscaled climate projections for baseline (1983-2012), mid- (2040-2059), and late-century (2060-2079) scenarios

Global downscaled projections are now some of the most widely used climate datasets in the world, however, they are rarely examined for representativeness of local climate or the plausibility of their projected changes. Here we apply steps to improve the utility of two such global datasets (CHELSA and WorldClim2) to provide credible climate scenarios for climate change impact studies in Hawaii. Our approach is based on three steps: 1) Using a standardized baseline period, comparing available global downscaled projections with regional observation-based datasets and regional downscaled datasets (if available); 2) bias correcting projections using observation-based data; and 3) creating ensembles to make use of the differential strengths of global downscaling datasets. This data release includes a baseline (1983-2012) model as well as future climate projections for mid- (2040-2059) and late-century (2060-2079) for three regionally-adapted global datasets (CHELSA, WorldClim2, and a combined ensemble). We considered mean annual temperature (MAT) and mean annual precipitation (MAP) as our primary variables for comparison since they are the most widely used and desired datasets for climate impact studies. These regionally-downscaled future climate projections are available for various individual Global Circulation Models (GCMs) under four representative concentration pathways (RCPs; 2.6, 4.5, 6.0, and 8.5) for each global dataset.

Tags: baseline-scenarios, climate-shifts, downscaling, future-scenarios, global-circulation-models, hawaii, main-hawaiian-islands, regional-projections, usgs-62bf6b5ad34e82c548ced985
Organization: Department of the Interior
Field data for evaluation of the LISST-SL2, an in-stream particle-size analyzer, at selected rivers in Washington and Virginia, 2018-20

Measurements of suspended-sediment concentration and particle-size distribution were made in selected rivers located in Washington and Virginia with an in-stream, particle-size analyzer that uses laser-diffraction methods to measure the concentration and size of suspended particles. Measurements were made in 11 rivers from 2018 to 2019 using the LIST-SL2, a second-generation streamlined sensor that is part of the Laser In Situ Scattering and Transmissometry (LISST) series of instruments manufactured by Sequoia Science Inc. ( Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government, the authors, or their affiliations). Physical samples of sediment were collected concurrently with sediment samplers approved by the Federal Interagency Sedimentation Project. Physical samples collected in Washington were analyzed for suspended sediment concentration and particles size at the USGS Cascade Volcano Observatory SedLab. Physical samples collected in Virginia were analyzed at Virginia Tech using evaporation methods (Guy,1969) and a CILAS 1190 particle size analyzer. ADCP measurements of water velocity  were made using a TRDI-RiverRay ADCP at sites in Washington, and a Sontek-M9 ADCP at sites in Virginia. 
This data release contains four tables (*.csv files) that summarize all data collected for each sampling event. Table 1 lists the individual deployments and summarizes the data collected by the LISST-SL2, physical sampler and ADCP for each deployment. Table 2 lists the concentration of particle sizes measured by the LISST-SL2 for each deployment listed in table 1; Table 3 is a subset of sites and particle size data collected by the LISST-SL2, presented as cumulative percent finer and relative depth; Table 4 is particle size data from physical samples and presented as cumulative percent finer and relative depth. Raw data files for the LISST-SL2 (*.RBS and *.ASC files),  TRDI-RiverRay ADCP (*.mmt and *.PD0 files), and Sontek-M9 ADCP (*.rivr  files) that were used to generate these tables are provided in this data release.

Tags: cowlitz-river-near-castle-rock-wa, cowlitz-river-near-randle-wa, inlandwaters, new-river-at-whitethorne-va, nisqually-river-near-elbe-wa, nisqually-river-near-nisqually-wa, pigg-river-at-leesville-lake-va, puyallup-river-at-puyallup-wa, rappahannock-river-at-fredericksburg-va, sauk-river-near-sauk-wa, sediment-transport, stroubles-creek-at-blacksburg-va, suspended-material-water, usgs-62bfc9afd34e82c548ceda28, white-river-near-sumner-wa
Organization: Department of the Interior