AndreaBozzo/ceres-open-data-index huggingface dataset:
Data and model code in support of Stream nitrate dynamics driven primarily by discharge and watershed physical and soil characteristics at intensively monitored sites, Insights from deep learning

We developed a suite of models using deep learning to make hindcast predictions of the 7-day average backward-looking nitrate concentration at 46 predominantly agricultural sites across the midwestern and eastern United States. The models used daily observations of discharge and meteorological variables and static watershed attributes describing anthropogenic modification to hydrology, nitrogen application, climate, groundwater, land use and land cover, watershed physical attributes, and soils. Across all sites, discharge and watershed soil and physiographic attributes show a particularly strong influence on model performance. An analysis of drivers across sites revealed considerable regional differences related to controlling processes such as groundwater contributions. We tested several ways to pool data across sites to develop accurate models and make the most effective use of available data. Single-site models, in which models are trained and tested at a single location, showed generally strong predictive performance (median Kling-Gupta Efficiency = 0.66), and accuracy at poorly performing sites could be improved by grouping sites with similar characteristics. Developing a single model for all sites reduced performance at several locations with distinct characteristics, suggesting that there is a threshold of dissimilarity beyond which more data does not improve the model. While many deep learning studies have shown that national or even global models can outperform local models, it is not clear that this is true for water quality constituents. This study demonstrates how existing data can be combined effectively, using deep learning to develop accurate and interpretable models of instream nitrate at sites where varying processes are responsible for changes in nitrate concentration. This release provides code and data for running a suite of machine learning model to predict in stream nitrate concentration and using explainable AI to analyze model outputs and compare among modeling approaches.

Tags: dc, de, deep-learning, delaware, district-of-columbia, environment, explainable-ai, ia, il, illinois, in, indiana, inlandwaters, iowa, kansas, kentucky, ks, ky, machine-learning, maryland, md, mi, michigan, minnesota, missouri, mn, mo, modeling, ne, nebraska, new-jersey, new-york, nitrogen, nj, ny, oh, ohio, pa, pennsylvania, sd, south-dakota, united-states, us, usgs-661436d1d34e633466530330, va, virginia, water, water-quality, water-resources, west-virginia, wi, wisconsin, wv
Organization: Department of the Interior
Census counts of the non-indigenous benthic foraminifera Trochammina hadai Uchio obtained in 1983-2024 in San Francisco Bay, California (ver. 2.0, May 2025)

This data release provides census counts of the non-indigenous benthic foraminifera Trochammina hadai Uchio in surface sediment samples obtained in San Francisco Bay, California from 1983-2024.

Tags: animals, bay, benthic-foraminifera, biota, cmhrp, coastal-and-marine-hazards-and-resources-program, environment, foraminifera, geoscientificinformation, habitat, invertebrates, organisms, pacific-coastal-and-marine-science-center, pcmsc, protists, sediment-deposition, society, substrate, u-s-geological-survey, usgs, usgs-661415dad34e633466530203
Organization: Department of the Interior
Uinta Basin Oil Shale Resources Databases

This report presents the methodology used in the geology-based assessment of the in-place oil resources in 18 oil shale zones of the Eocene Green River Formation in the Uinta Basin of northeastern Utah.  The focus is on the methodology used to (1) convert legacy data; (2) analyze the data through application of current computer techniques; and (3) ultimately quantify the resultant data using spreadsheet, database, and geographic information systems (GIS) software.

Tags: geoscientificinformation, oil-shale-resources, usgs-66140ac3d34e6334665301ad
Organization: Department of the Interior
Shapefile and summary tables for the approximate inland extent of saltwater intrusion at the base of the Biscayne aquifer in 2022, Miami-Dade County, Florida

The U.S. Geological Survey (USGS) cooperated with Miami-Dade County to map the approximate inland extent of saltwater intrusion in the Biscayne aquifer in eastern Miami-Dade County, Florida in 2022. This map is a continuation of a series of maps, the most recent of which was published in 2018, which have helped to track the position of the saltwater interface over time and have improved understanding of the rate of movement of the saltwater interface. To estimate the position of the saltwater interface, relevant data including chloride concentrations, specific conductance, and bulk conductivity from time-series electromagnetic induction logs collected by various organizations including the Florida Keys Aqueduct Authority (FKAA), Florida Power and Light Company (FPL), MacVicar Consulting Inc., and the USGS were acquired and compiled. These data were entered into a geographic information system for mapping. The approximate location of the saltwater interface is represented by the 1,000-mg/L isochlor at the base of the Biscayne aquifer. The term “approximate” is used here because certain areas of the map lack sufficient spatial distribution of monitoring wells to create a precise representation. This data release includes a shapefile of the 1,000-mg/L isochlor and tables of construction information for wells used to create the map and the maximum chloride concentration in those wells in 2022.

Tags: biscayne-aquifer, florida, isochlor, miami-dade-county, monitoring-well, saltwater-interface, saltwater-intrusion, usgs-6614064fd34e633466530183
Organization: Department of the Interior
Piceance Basin Oil Shale and Nahcolite Resources Databases

A detailed description of the methodology employed to perform a geology-based assessment of in-place oil shale and nahcolite resources in the Piceance Basin of northwestern Colorado is presented here. Considerable advancements in computer and database technology since the previous oil shale assessment in 1989 provided the U.S. Geological Survey (USGS) assessment team with new tools to convert legacy data, store and manipulate new data, perform calculations, and quantify, report, and display the assessment results. Relational database and geographic information systems (GIS) software were used seamlessly to streamline the storage and manipulation of the data. A deterministic spatial interpolation method, the Radial Basis Function (RBF), was used to generate isopach and isoresource models in the GIS software, which provided a spatial statistics function to summarize the prediction models and determine the in-place oil shale and nahcolite resource totals.

Tags: geoscientificinformation, oil-shale-resources, usgs-6613ff5ed34e6334665300e7
Organization: Department of the Interior
Navigation Lines for R/V UCONN 84-1 (UCONN84-1) (84_1NAVT)

This GIS layer contains the shiptrack navigation lines collected aboard the RV UCONN during a 1984 geophysical cruise to west-central Long Island Sound. A boomer seismic system was used to collect the subbottom data.

Tags: 1984, arcview, boomer-data, coastal-and-marine-geology-program, coastal-and-marine-geology-team, connecticut, connecticut-department-of-environmental-protection, geographic-information-system, geophysical-data, geospatial-datasets, gis, lines, location, long-island-sound, marine-geology, marine-geophysics, navigation, navigational-data, new-york, oceans, polyline, shapefile, ship-track, ships-track, sub-bottom-profiling, trackline, u-s-geological-survey, uconn, uconn84-1, usgs, usgs-6612de3a-a49b-4398-b173-f61a2966e39a, woods-hole-field-center
Organization: Department of the Interior
Application of the WRF-Hydro Modeling System for the Conterminous United States at the NHDPlus version 2 Spatial Resolution Using the Bias Adjusted Version of the CONUS404 Atmospheric Forcings (CONUS404BA), Water Years 2010-2021

This data release contains inputs for and outputs from a hydrologic simulation for the conterminous United States (CONUS) using the WRF-Hydro modeling system version 5.2.0 (Gochis and others, 2020) at the NHDPlus version 2 spatial resolution. This simulation was developed to provide water budget estimates for the period 10/1/2009 to 9/30/2021 using the bias adjusted version of the CONUS404 (CONUS404BA) atmospheric forcings dataset (Zhang and others, 2024). The WRF-Hydro model input files are included within this data release and consist of two configuration files, two simulation restart files, nine parameter files, and five types of output files. Each output type has a file for each timestep of the model application simulation. All model files are archived on the U.S. Geological Survey's Black Pearl tape drive system. The data can be accessed through a Globus endpoint here: https://app.globus.org/file-manager/collections/bf01ea19-425e-4434-809f-4e44ac550b1c/overview. The Entity and Attribute element of the metadata file contains the data descriptions for all the variables in each of the five types of output files.
Please refer to the Supplemental Information element of this metadata record for further information on this model application.

Tags: climatologymeteorologyatmosphere, high-resolution-climate-simulation, hydroclimate, hydrology, inlandwaters, precipitation, regional-climate-model, usgs-661039a6d34e6334665050f4, weather-research-and-forecast-model
Organization: Department of the Interior
Data for Investigating the Joint Effect of Changes in Impervious Cover and Climate on Trends in Floods

This data release contains data in support of "The Joint Effect of Changes in Impervious Cover and Climate on Trends in Floods: A Comparison of Panel and Single-Station Quantile Regression Approaches" (Over and others, 2025). It contains input and output data used to analyze the effect of impervious cover and climate changes on trends in floods using three regression approaches. The input consists of two files: "finalStationList.csv," which contains streamgage information for the 127 streamgages used in this study, and "regressionInput.csv," which contains data used as input into regressions for each streamgage. The output consists of "lm_trends.csv," "byStation-log10_ann_max_MWBM_Q.csv," and "FixedEffects-log10_ann_max_MWBM_Q.csv." "lm_trends.csv" contains trend analysis results by streamgage. "byStation-log10_ann_max_MWBM_Q.csv" contains the regression results for annual maximum streamflow from MWBM and impervious fraction by streamgage. "FixedEffects-log10_ann_max_MWBM_Q.csv" contains fixed effects for annual maximum streamflow from MWBM and impervious fraction by streamgage.
Also included is "modelArchive.zip", which contains the scripts used to create the data provided in this data release and in Over and others, 2025. It contains the input data necessary to run the scripts and readMe files with directions for running the scripts locally.

Tags: environment, floods, hydrology, illinois, inlandwaters, iowa, michigan, minnesota, missouri, regression-analysis, river-systems, stream-discharge, streamflow, surface-water-non-marine, united-states, usgs-66102d6ed34e633466504c23, wisconsin
Organization: Department of the Interior
Isotopic data for Death Valley, California supporting Unified 200 kyr Paleohydrologic History of the Southern Great Basin

This dataset includes strontium isotopic data for water samples collected from groundwater springs in Death Valley, California in January, 2020.

Tags: holocene, pleistocene, strontium-isotopes, usgs-661da0c9d34e7eb9eb7e3b32
Organization: Department of the Interior
Earth Observation Assessment (EOA) 2023 Tableau Dashboard Data

The Earth Observation Assessment (EOA) is a Congressionally-directed periodic evaluation of the nation's civil Earth observation portfolio. This portfolio comprises both remote and in-situ sensors, operated by both the public and the private sector.
The Earth Observation Assessment measures the effectiveness of the civil Earth observation system in meeting federal government objectives identified as Societal Benefit Areas (SBA). The White House Office of Science and Technology Policy (OSTP) charters the U.S. Group on Earth Observations (USGEO) as a subcommittee of the National Science and Technology Council (NSTC) Committee on Environment. USGEO conducts the Earth Observation Assessment to inform the regularly-updated National Plan for Civil Earth Observations, which serves to coordinate the development and support of the Earth observation enterprise across all sectors.
This is the data that supports the EOA 2023 Tableau Dashboard on the USGEO website.

Tags: earth-observation-assessment-eoa, usgs-661020a2d34e633466504b6a
Organization: Department of the Interior
White-tailed deer from culling efforts in Minnesota

Dataset containing information for white-tailed deer samples from Minnesota. Samples were genotyped for 11 microsatellites markers and sequenced for a fragment of approx. 546 bp belonging to the mitochondrial control region. Marker OvirQ should not be used as it presents alleles inconsistent with reported pattern, with some alleles separated by only 1 base pair and inconsistent between runs. Coordinates representing the centroid of Township-range-section of origin are given as UTM 15N.

Tags: biota, culling, genetics, minnesota, relatedness, united-states-of-america, usgs-660d6f78d34e8346125b8c18, wildlife-population-management
Organization: Department of the Interior
Projected sea-level rise flooding inundation extents for 0.00, +0.25, +0.50, +1.00, +1.50, +2.00, and +3.00 meter sea-level rise scenarios in the Hawaiian Islands (ver. 1.1, February 2025)

This data release provides flooding extent polygons based on potential future sea-level rise (SLR) water levels for the coast of the most populated Hawaiian Islands of O'ahu, Moloka'i, Kaua'i, Maui, and Big Island. Digital elevation models were used to extract SLR flooded areas along the coastlines at 10-m2 resolution and converted to polygon shapefiles of the extents for 0.00 m, +0.25 m, +0.50 m, +1.00 m, +1.50 m, +2.00 m, and +3.00 m SLR scenarios.

Tags: climate-change, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-processes, earth-sciences, effects-of-climate-change, environment, environmental-equity, environmental-justice, flooding, floods, geoscientificinformation, geospatial-datasets, hawaiian-islands, island-of-hawaii, kauai, mathematical-modeling, maui, molokai, oahu, oceans, pacific-coastal-and-marine-science-center, pcmsc, physical-habitats-and-geomorphology, predictions, sea-level-change, spatial-analysis, state-of-hawaii, storms, u-s-geological-survey, usgs, usgs-660c5b71d34e4df16bd5dec8, waves
Organization: Department of the Interior
Select Borehole Data for the East Mesa area and vicinity, Imperial County, CA

This data release provides borehole location and lithology information from selected boreholes in the East Mesa and surrounding areas of Imperial County, California. The area of focus includes parts of the Imperial, Ogilby, and Amos Valley groundwater basins. The purpose of the study is to estimate the future Total Dissolved Solids (TDS) concentration in groundwater pumped by the LCWPS into the All-American Canal. The borehole data included in this data release can be used to evaluate the hydrogeologic framework of the study area, and determine the geometry, extent, and physical characteristics of hydrogeologic materials within the aquifer system.
Borehole location and lithology data were sourced from the California Department of Water Resources Online System of Well Completion Reports (OSWCR; California Department of Water Resources, 2021) as well as direct communication with California Department of Water Resources (California Department of Water Resources, 2024); the U.S. Bureau of Reclamation Final Environmental Impact Statement Geohydrology Appendix for the All-American Canal Lining Project (U.S. Bureau of Reclamation, 1994); well log archives from the U.S. Bureau of Reclamation Yuma Area Office (U.S. Bureau of Reclamation, 2023); the U.S. Geological Survey (USGS) Professional Paper Series number 486 chapter K (Loeltz and others, 1975); a USGS publication detailing the characterization of the groundwater system near the Lower Colorado Water Supply Project (Coes and others, 2015), geothermal well reports (Coplen and others, 1973; Elders and others, 1974), and geothermal wells from California Geologic Energy Management Division (CalGEM; California Department of Conservation, 2024).

Tags: california, groundwater, hydrogeology, imperial-county, rocks-and-deposits, usgs-660c5314d34e4df16bd5deb0
Organization: Department of the Interior
2018 Embarrass River Microsporidia

During an epidemiologic survey following a mortality event of freshwater mussels in 2018 in the Embarrass River, Wisconsin, USA, we identified a novel microsporidian parasite in the ovary of mucket (Actinonaias ligamentina), plain pocketbook (Lampsilis cardium), and fatmucket (Lampsilis siliquoidea) (Unioinidae).  Histopathology showed round-to-oval microsporidial spores in the cytoplasm of oocytes in 60% (3/5) of mucket, 100% (4/4) of plain pocketbook and 50% (1/2) of fatmucket.  On transmission electron microscopy, mature spores were round to oval, measured 4.13 +/- 0.64 µm (3.14–5.31) long by 2.88 +/-0.37 µm (2.36–3.68) wide.  Spores had a thin electron dense exospore with a spiky coat, a thick electron lucent endospore, diplokaryotic nuclei, a polar vacuole, and 27–28 polar filaments arranged in 1 to 3 rows.  Sequencing of the small subunit rRNA produced a 1356 bp sequence most similar to Pseudonosema cristatellae, and phylogenetic analysis grouped it with freshwater Neopereziida.  The morphologic and ultrastructural characteristics did not match those of Pseudonosema sp. and a new genus and species, Hirsutonosema embarrassi n. gen., n. sp., were designated.  Additional studies could evaluate host susceptibility, distribution, seasonality, transmission, and lethal or sub-lethal effects of this parasite to freshwater mussels.

Tags: biota, hirsutonosema-embarrassi-n-sp, histopathology, lampsilus-cardium, microsporidia, neopereziida, transmission-electron-microscopy, unionid, usgs-660b1df3d34e4df16bd58c39, wildlife-disease
Organization: Department of the Interior
World Petroleum Assessment 2000 Tabular Datasets

This dataset comprises a collection of tabular data and graphical images supporting the U.S. Geological Survey's World Petroleum Assessment, extracted from USGS DDS 60 publication. The dataset includes detailed information on crude oil and natural gas production, including volumetric and descriptive data such as cumulative production, remaining reserves, and known recoverable volumes. Historical data covering field-discovery dates, well completion dates, exploration objectives, and well depths are also provided. Data sources include commercial databases along with supplemental information from various federal and state agencies.  No proprietary data is included in this. The dataset is presented in multiple formats, including .pdf files for graphical images and .tab files for tabular data, encompassing eco-regional, federal land, ownership parcels, and state-wise data distributions.

Tags: energy-resources, geoscientificinformation, natural-gas, natural-gas-resources, oil, usgs-660b1cbbd34e4df16bd58c35, world-energy-asesssment
Organization: Department of the Interior
Paso Robles Hydrologic Model: Future Climate Data

This digital dataset contains the gridded future climate data for the same modeled extent as the Paso Robles Groundwater Basin Model (GEOSCIENCE and Todd Groundwater, 2015). The monthly climate data for the Paso Robles Hydrologic Model are based on the Salinas and Carmel River Basins Study (SCRBS) future climate scenarios (Henson and others, 2024). SCRBS considers one baseline climate scenario that represents recent historical climate conditions and five future climate scenarios: Hot-Wet (HW), Warm-Wet (WW), Hot-Dry (HD), Warm-Dry (WD), and Central Tendency (CT) (Henson and others, 2024). To develop the monthly climate grids, the regional climate data was resampled to a monthly timescale and area weighted to the model grid. The climate data includes spatially distributed monthly precipitation and potential evapotranspiration for the model grid for January 2016 to December 2099.

Tags: atmospheric-and-climatic-processes, california, environment, evaporation, monterey-county, precipitation-atmospheric, salinas, san-luis-obispo-county, usgs-660b1733d34e4df16bd58c1c
Organization: Department of the Interior
Carmel River Basin Hydrologic Model: Future Climate Data

This digital dataset contains the gridded future climate data used for the Carmel River Basin Hydrologic Model. The daily climate data for the Carmel River Basin Hydrologic Model Hydrologic Model are based on the Salinas and Carmel River Basins Study (SCRBS) future climate scenarios (Henson and others, 2024). SCRBS considers one baseline climate scenario that represents recent historical climate conditions and five future climate scenarios: Hot-Wet (HW), Warm-Wet (WW), Hot-Dry (HD), Warm-Dry (WD), and Central Tendency (CT) (Henson and others, 2024). To develop the climate grids, the regional climate data was resampled and area-weighted to the model grid. The climate data includes spatially distributed daily precipitation and potential evapotranspiration (expressed in millimeters, mm) for the model grid for January 2016 to December 2099.

Tags: atmospheric-and-climatic-processes, california, environment, evaporation, monterey-county, precipitation-atmospheric, salinas, san-luis-obispo-county, usgs-660b14b6d34e4df16bd58c0c
Organization: Department of the Interior