AndreaBozzo/ceres-open-data-index huggingface dataset:
Preliminary streamflow percentile predictions for ungaged areas of the Colorado River Basin, 1981-2020

This dataset consists of daily streamflow percentiles for 1981-10-01 to 2020-03-31 relevant to streamflow drought defined using two approaches: Percentiles accounting for flow seasonality (variable threshold percentiles) and those based on the full record of data for each site regardless of season (fixed threshold percentiles). Because of the size of this dataset (99,530,836 rows), it could not be provided as a .csv file, and is instead provided as a .parquet file. Instructions on reading this file using the R programming language are provided in the Processing Step section of this metadata. The daily streamflow percentiles were estimated for ungaged areas of the Colorado River Basin (CRB) using neural network models, specifically long short-term memory (LSTM) models, by scientists on the USGS Data-Driven Drought Prediction project. The models were trained on data from 391 streamgages in the CRB and surrounding region and then used to generate predictions at ungaged stream locations within the CRB. Data from 01-Oct-1981 to 31-Mar-2014 was used to train the model with validation over the period of record spanning 01-Apr-2014 to 31-Mar- 2020. The models use explanatory variable inputs described in Wieczorek (2023) (doi.org/10.5066/P98IG8LO) to predict daily streamflow and streamflow percentiles as described in Simeone (2022) (doi.org/10.5066/P92FAASD). Model predictions are provided for 3,539 ungaged area spatial units from the National Hydrologic Geospatial Fabric version 1.1 (Bock et al., 2020) across the CRB. A follow up set of predictions is planned, with those predictions based on a models using a greater number of predictor variables including variables quantifying human flow alteration.

Tags: climatologymeteorologyatmosphere, colorado-river-basin, drought, inlandwaters, streamflow, united-states, usgs-64931bbad34ef77fcb0128b0
Organization: Department of the Interior
Evaluating if abundance and behavior of shorebird species are related to restoration and habitat at Whiskey Island and Caminada Headland, Louisiana from 2012 to 2020

Barrier islands provide resources and ecological services that are integral to economic and environmental interests, such as protection of coastal infrastructure and providing habitat for wildlife. Over time, barrier islands may become eroded and experience land loss, which require management actions to restore island integrity. The process of restoring barrier islands can create new habitats but also alter existing habitats, which can impact the organisms depending on coastal habitats, such as the Endangered Species Act-listed (ESA) Piping Plover (Charadrius melodus) and Red Knot (Calidris canutus). Consequently, we aimed to understand the abundance and behavioral responses from a suite of shorebird species, including American Oystercatcher (Haematopus palliatus), Red Knot, Piping Plover, Snowy Plover (Charadrius nivosus), and Wilson’s Plover (Charadrius wilsonia), to restoration and habitat factors at two restored sites in coastal Louisiana, Whiskey Island and Caminada Headland, from 2012 to 2020. We combined observational data from birds with numerous geospatial predictor variables into a machine learning approach to develop response plots to investigate how birds use coastal habitat with respect to restoration activities at Whiskey Island and Caminada Headland, Louisiana from 2012 to 2020. For each species, we quantified the abundance and behavior (breeding, foraging, leisure) of each individual, which served as response variables in boosted regression tree models, and determined the importance of predictor variables, such as restoration phase, habitat class, inundation class, distance to water, and other remotely or field collected variables from Whiskey Island and Caminada Headland. We ran at least three models for each species, which included non-breeding abundance with a Poisson distribution, foraging behavior with a binomial distribution, and leisure behavior with a binomial distribution. For American Oystercatcher (only occurring in reasonable sample sizes at Whiskey Island) and Wilson’s Plover, we also ran models for breeding abundance with a Poisson distribution and breeding behavior with a binomial distribution.

Tags: barrier-island, biota, caminada-headland, geospatial-predictors, habitat, lafourche-parish, machine-learning-approach, restoration, shorebirds, terrebonne-parish, usgs-64934cd1d34ef77fcb01388b, whiskey-island
Organization: Department of the Interior
Geochemical data for the Pacheco stage tephra-fall deposits from Misti volcano, Arequipa, Peru

These data are derived from pumice and scoria from Pacheco stage (as defined by Harpel et al., 2021)  tephra-fall deposits (TFD) emplaced between &lt;21 ka and 2 ka by eruptions from Misti volcano, Arequipa, southern Peru.  For each unit, these data derived from electron microprobe analysis include major-element analyses for glass, amphibole, plagioclase, orthopyroxene, clinopyroxene, Fe-Ti oxides, and, where present, olivine.  Whole-rock major and trace element concentrations for each unit were determined by X-ray fluorescence. These data support detailed petrologic analysis of each Pacheco stage unit presented elsewhere.  Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
Reference:
Harpel CJ, Aguilar R, Rivera M, Tepley F, Takach M, Manrique N, Cuno J, Cueva K, Escobar GM, Allen I, Pawlak-Kjolhaug K, Sankovitch L, Topham J, Lewis C (2021) Tephrostratigraphy of Misti Volcano, Arequipa, Peru: A Chronicle of Multiple VEI 2-5 Eruptions from the Late Pleistocene to the Mid-15th Century. Fall Meeting American Geophysical Union, Washington, D.C., 13-17 December.

Tags: arequipa, geochemistry, geoscientificinformation, igneous-rocks, misti-volcano, pacheco-stage, petrology, tephra-fall-deposit, usgs-64936e81d34ef77fcb013960, volcanic-rocks, volcanology
Organization: Department of the Interior
Daily time series of surface water input from rainfall, rain on snow, and snowmelt for the Conterminous United States from 1990 to 2023, as well as annual series of input seasonality, precipitation seasonality, and average rainfall, rain on snow, and snowmelt rates

This data release contains daily gridded data reflecting surface water input from rainfall, rain on snow (mixed), and snowmelt for the conterminous United States for water years 1990 to 2023 (1990/10/01 to 2023/09/30). This release also contains annual estimates of gridded input seasonality (an index reflecting whether surface water input occurs within a concentrated period or is equally distributed throughout the year), precipitation seasonality, average snowmelt, rainfall and rain on snow rates, and finally, annual totals of each input type. Average snowmelt, rainfall and rain on snow rates were computed using days where values were greater than zero. Daily data were generated using precipitation input from the gridMET dataset (Abatzoglou, 2013) and the University of Arizona snow water equivalent product (Broxton et al., 2019). 
Abatzoglou, J. T. (2013), Development of gridded surface meteorological data for ecological applications and modelling. Int. J. Climatol., 33: 121–131.
Broxton, P., X. Zeng, and N. Dawson. (2019). Daily 4 km Gridded SWE and Snow Depth from Assimilated In-Situ and Modeled Data over the Conterminous US, Version 1. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. https://doi.org/10.5067/0GGPB220EX6A.

Tags: climatologymeteorologyatmosphere, hydrology, inlandwaters, input-seasonality, location, precipitation-atmospheric, precipitation-seasonality, rain-on-snow, rainfall, runoff, snow-and-ice-cover, snowmelt, surface-water-input, usgs-6494515fd34ef77fcb014eb0, water-budget
Organization: Department of the Interior
Data used to prioritize the selection of river basins for intensive monitoring and assessment by the U.S. Geological Survey

The U.S. Geological Survey (USGS) developed a systematic, quantitative approach to prioritize candidate basins that can support the assessment and forecasting objectives of the major USGS water science programs. Candidate basins were the level-4 hydrologic units (HUC4) with some of the smaller HUC4s being combined (hereafter referred to as modified HUC4 basins). Candidate basins for the contiguous United States (CONUS) were grouped into 18 hydrologic regions. Thirty-three geospatial variables representing land use, climate change, water use, water-balance components, streamflow alteration, fire risk, and ecosystem sensitivity were initially considered to assist in ranking candidate basins for study. The two highest ranking candidate basins in each of the 18 regions were identified as semi-finalists for selection as “Integrated Water Science Basins.” The initial 33 geospatial variables are included within this data release. Also included in this data release are the polygon layers of the modified HUC4 basins and the hydrologic regions used for the analyses and a separate data dictionary to define the variables.

Tags: boundaries, climate-change, ecosystem-monitoring, environment, environmental-assessment, fire-risk, forecasting, habitat-alteration-and-disturbance, hydrologic-region, inlandwaters, integrated-water-science-basins, land-use-and-land-cover, river-basin, usgs-64947132d34ef77fcb015320, water-budget, water-use
Organization: Department of the Interior
Low-altitude aerial imagery collected from a Helikite at Marconi Beach, Wellfleet, MA on March 22, 2023

The data in this release re-map the beach and nearshore environment at Marconi Beach in Wellfleet, MA and provide updated environmental context for the 2021 CoastCam installation that looks out at the coast shared by beachgoers, shorebirds, seals, and sharks. This is related to the field activity 2022-014-FA and a collaboration with the National Park Service at Cape Cod National Seashore to monitor the region that falls within the field of view of CoastCam CACO-02, which are two video cameras aimed at the beach. In March 2023, U.S. Geological Survey and Woods Hole Oceanographic Institute (WHOI) scientists conducted field surveys to collect topographic and bathymetric data. Images of the beach for use in structure-from-motion were taken with a camera (SONY a6000) and a post-processed kinematic (PPK) system attached to a helium powered balloon-kite (Helikite). High-precision GPS targets (AeroPoints) and numbered black and white tarps were used as ground control points. Bathymetry was collected in the nearshore using a single-beam echosounder mounted on a surf capable self-righting electric autonomous surface vehicle. Agisoft Metashape (v. 1.8.1) was used to create a digital surface model and orthomosaic with the collected imagery.

Tags: 3-band-imagery, aerial-and-satellite-photography, aerial-imagery, cape-cod, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-processes, geoscientificinformation, geospatial-datasets, geotagged-photos, helikite, image-collections, jpg, location, low-altitude-aerial-imagery, marconi-beach, massachusetts, oceans, photography, remote-sensing, shoreline, shoreline-photographs, structure-from-motion, u-s-geological-survey, uas, united-states, usgs, usgs-648b74f4d34ef77fcafe694e, wellfleet, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Lark sparrow density in the Wyoming Basins Ecoregional Assessment area

Map of lark sparrow density (birds/ha) in relation to vegetation, abiotic, and anthropogenic features.

Tags: biota, colorado, density, environment, geoscientificinformation, geospatial-datasets, idaho, lark-sparrow, modeling, montana, scientific-interpretation, shrubland-ecosystems, usgs-64949b01d34ef77fcb015409, utah, western-united-states, wyoming
Organization: Department of the Interior
Sage sparrow density in the Wyoming Basins Ecoregional Assessment area

Map of Sage sparrow density (birds/ha) in relation to vegetation, abiotic, and anthropogenic features.

Tags: biota, colorado, density, environment, geoscientificinformation, geospatial-datasets, idaho, modeling, montana, sage-sparrow, scientific-interpretation, shrubland-ecosystems, united-states, usgs-64949d25d34ef77fcb015416, utah, wyoming
Organization: Department of the Interior
Vesper sparrow density in the Wyoming Basins Ecoregional Assessment area

Map of vesper sparrow density (birds/ha) in relation to vegetation, abiotic, and anthropogenic features.

Tags: biota, colorado, density, environment, geoscientificinformation, geospatial-datasets, idaho, modeling, montana, scientific-interpretation, shrubland-ecosystems, united-states, usgs-6494a03cd34ef77fcb015436, utah, vesper-sparrow, wyoming
Organization: Department of the Interior
Sage thrasher density in the Wyoming Basins Ecoregional Assessment area

Map of sage thrasher density (birds/ha) in relation to vegetation, abiotic, and anthropogenic features.

Tags: biota, colorado, density, environment, geoscientificinformation, geospatial-datasets, idaho, modeling, montana, sage-thrasher, scientific-interpretation, shrubland-ecosystems, usgs-6494a1a6d34ef77fcb01543d, utah, western-united-states, wyoming
Organization: Department of the Interior
Attributed California Water Supply Well Completion Report Data for Selected Areas, Derived from CA WCR OSCWR Data (ver. 6.0, December 2025)

This Well Completion Report geospatial dataset represents an index to a subset of records available from the California Department of Water Resources' (DWR) Online System for Well Completion Reports (OSWCR). This version of the release contains data from  297,162 well completion reports (WCRs) for water supply wells from all counties in California. A subset of WCRs for 5,350 wells that are not water supply wells also are included. The California Groundwater Ambient Monitoring and Assessment Program Priority Basin Project (GAMA-PBP) did studies of water quality in groundwater resources used by domestic wells in parts of those counties in 2012-2024, and these data were compiled as part of those studies. A total of 9,538 WCRs have been added in this update. This dataset differs from the data provided in OSWCR because it includes data for some additional fields such as NumberOpenIntervals, USGS_SiteNumber, and SWRCB_DDW_PublicSupplyWell and doesn't include some fields that are in OSWCR. Some data attributed in OSWCR were checked for accuracy and updated, and more precise locations were determined for some wells. The additional fields provide more detail about the open or perforated intervals in the well, various identification numbers for the wells, and generalized lithology, and were populated where they could be identified. Some attributes have been provided by cooperating entities as indicated in the REFERENCE field. About 60 percent of the locations are georeferenced to finer resolution based on county Assessor's Parcel Number (APN), 911, or local water authority geospatial datasets. The attributed information is linked to the redacted publicly available Department of Water Resources well completion report image when the link can be resolved.
This dataset is for information purposes only. All attribute values should be verified by reviewing the original Well Completion Report. 
California Water Code Section 13752 allows for the release of redacted copies of well completion reports to the public.
DWR is the authoritative source of these data. https://data.ca.gov/dataset/well-completion-reports
Version History Summary:
Version 1.0 posted online August 8, 2019 (available upon request)
Version 2.0 posted online January 24, 2023 (https://doi.org/10.5066/P9R1V41Q)
Version 3.0 posted online July 21, 2023 (available upon request)
Version 4.0 posted online September 30, 2024
Version 5.0 posted online June 05, 2025
Version 6.0 posted online December 30, 2025

Tags: geoscientificinformation, groundwater, inlandwaters, rocks-and-deposits, usgs-64958d73d34ef77fcb01dc8f, water-well, well-drilling
Organization: Department of the Interior
National Land Cover Database (NLCD) Tree Canopy Cover Products

The USDA Forest Service (USFS) builds two versions of percent tree canopy cover (TCC) data to serve needs of multiple user communities. These datasets encompass the conterminous United States (CONUS), Coastal Alaska, Hawaii, and Puerto Rico and U.S. Virgin Islands (PRUSVI). The two versions of data within the v2021-4 TCC product suite include:
- The raw model outputs referred to as the annual Science data; and
- A modified version built for the National Land Cover Database referred to as NLCD data. They are available at the following locations:
Science:
	https://data.fs.usda.gov/geodata/rastergateway/treecanopycover/
	https://apps.fs.usda.gov/fsgisx01/rest/services/RDW_LandscapeAndWildlife
NLCD:
https://www.mrlc.gov/data
https://apps.fs.usda.gov/fsgisx01/rest/services/RDW_LandscapeAndWildlife
The NLCD product suite includes data for years 2011, 2013, 2016, 2019 and 2021. The NCLD data are processed to remove small interannual changes from the annual TCC timeseries, and to mask TCC pixels that are known to be 0 percent TCC, non-tree agriculture, and water. A small interannual change is defined as a TCC change less than an increase or decrease of 10 percent compared to a TCC baseline value established in a prior year. The initial TCC baseline value is the mean of 2008-2010 TCC data. For each year following 2011, on a pixel-wise basis TCC values are updated to a new baseline value if an increase or decrease of 10 percent TCC occurs relative to the 2008-2010 TCC baseline value. If no increase or decrease greater than 10 percent TCC occurs relative to the 2008-2010 baseline, then the 2008-2010 TCC baseline value is caried through to the next year in the timeseries. Pixel values range from 0 to 100 percent. The non-processing area is represented by value 254, and the background is represented by the value 255. The Science and NLCD tree canopy cover data are accessible for multiple user communities, through multiple channels and platforms. For information on the Science data and processing steps see the Science metadata. 

Tags: ak, alaska, digital-spatial-data, environment, gis, hawaii, hi, image-processing, imagerybasemapsearthcover, land-use-land-cover-theme, national-geospatial-data-asset, ngda, ngdaid119, prusvi, puerto-rico-and-u-s-virgin-islands, tree-canopy-cover, u-s, u-s-geological-survey-usgs, united-states, us, usgs-649595e9d34ef77fcb01dca3
Organization: Department of the Interior
Attributes for NHDPlus Version 2.1 Catchments and Modified Routing of Upstream Watersheds for the Conterminous United States: Riparian National Land Cover Data for 2019 Versions for the Years 2001, 2004, 2006, 2008, 2011, 2013, 2016, and 2019

This tabular data set represents the percent of land cover classes in the riparian zone from the 2019 edition of the National Land Cover databases for the years 2001, 2004, 2006, 2008, 2011, 2013, 2016 and 2019 compiled for two spatial components of the NHDPlus version 2.1 data suite (NHDPlusv2) for the conterminous United States; 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. These databases can be linked to the NHDPlus version 2 data suite by the unique identifier COMID.  The source data is the "National Land Cover Database (NLCD) 2019 Products (ver. 2.0, June 2021)" databases for the years 2001, 2004, 2006, 2008, 2011, 2013, 2016, and 2019 produced by the United States Geological Survey (DeWitt, 2021). The source data for riparian areas is the "U.S. Forest Service national riparian areas base map for the conterminous United States in 2019" (Abood and others, 2022). Final data values units are percent. The "NLCD 2019 Land Cover Conterminous United States" databases (NLCD 2019) are a 16-class (additional four classes in Alaska only) land cover classification scheme that has been applied consistently across all 50 United States and Puerto Rico at a spatial resolution of 30 meters. Reach catchment information characterizes data at the local scale. Reach catchments accumulated upstream through the river network characterizes cumulative upstream conditions.  Network-accumulated values are computed using two methods, 1) divergence-routed and 2) total cumulative drainage area. Both approaches use a modified routing database to navigate the NHDPlus reach network to aggregate (accumulate) the metrics derived from the reach catchment scale. (Schwarz and Wieczorek, 2018).

Tags: catchment, inlandwaters, land-cover, land-use, national-land-cover-data-set, nawqa, nhdplus, nlcd2001, nlcd2004, nlcd2006, nlcd2008, nlcd2011, nlcd2013, nlcd2016, nlcd2019, riparian-area, sparrow, usgs-64959e63d34ef77fcb01dcb7
Organization: Department of the Interior
Plain pocketbook (Lampsilis cardium) glochidia counts and transformation rates collected during laboratory exposures to agriculture and urban contaminant mixtures and measured contaminant concentrations, 2018

This data release includes datasets provided by the Woolnough Laboratory at Central Michigan University. These data were collected as a part of a laboratory exposure experiment, conducted in 2018, examining the effects of agricultural and urban contaminant mixtures on two life stages (larval and juvenile) of the freshwater mussel, plain pocketbook (Lampsilis cardium), using largemouth bass (Micropterus salmoides) as the host fish. Contaminant mixtures were representative of contaminants frequently detected in agricultural and urban settings. Agricultural contaminant mixtures consisted of bromacil, estrone, metolachlor, tri(butoxyethyl) phosphate, 4-nonylphenol, atrazine, N,N-diethyl-meta-toluamide (DEET), and bisphenol A. Urban contaminant mixtures consisted of metformin, sulfamethoxazole, desvenlafazine, and 5-methyl-1H-benzotriazole. Lampsilis cardium and M. salmoides were exposed to either an agricultural or urban contaminant mixture, control water treatment, or control ethanol treatment for 40 or 100 days. Throughout the exposure periods, water samples were collected from the contaminant mixture holding tanks for verification of concentration dosing. Gravid adult female L. cardium and M. salmoides were exposed to a specified treatment for 13 or 60 days. During this exposure period, prematurely released glochidia (L. cardium larvae) were enumerated. After the initial exposure period, glochidia were stripped from gravid female L. cardium, enumerated, and inoculated into M. salmoides tanks of the corresponding treatment for infestation and encystment. After infestation, parasitic glochidia and M. salmoides host fish were exposed for 27 or 40 more days (40- and 100-day total exposure durations, respectively). During this exposure period, glochidia that dropped off the host fish were enumerated and observations of their metamorphose state (partially or fully metamorphosed) were documented.
The data contained in this data release were analyzed and discussed in the primary publication titled “Reduced freshwater mussel juvenile production as a result of agricultural and urban contaminant mixture exposures” (https://doi.org/xxxxxx).

Tags: biota, contamination-and-pollution, laboratory-experiments, pesticide-and-herbicide-contamination, pharmaceutical-contamination, surface-water-non-marine, usgs-6495c299d34ef77fcb01e1d0
Organization: Department of the Interior