AndreaBozzo/ceres-open-data-index huggingface dataset:
Monthly twelve-digit hydrologic unit code aggregations of the National Hydrologic Model Precipitation-Runoff Modeling System modeling application for Alaska, 1980-2021

This data release contains 15 variables from the National Hydrologic Model Infrastructure with the Precipitation-Runoff Modeling System (NHM-PRMS) modeling application forced with Daymet version 4 (Koczot and others, 2025) from January 1980 through December 2021 that are summarized to a monthly time step and a twelve-digit hydrologic unit code for the spatial extent of Alaska. The following fluxes and storages are included: total monthly precipitation, evapotranspiration, lateral flow, surface runoff, interflow, recharge, groundwater flow, and the average monthly snow water equivalent, interflow storage, groundwater storage, total storage, and soil moisture. These data can be found in the “AK_huc12_monthly_nhmprms_daymet_1980_2021.nc” file. 
Additionally, two supplementary files are also included in this data release. The first file (“AK_weights_hru_to_huc12_nhmprms_daymet.csv”) contains the spatial weights or fraction that is used to “weight” the modeling output in the area-weighting process. The second file (“AK_summed_weights_per_huc12_nhmprms_daymet.csv”) contains the total fractional area within each twelve-digit hydrologic unit code that is covered by the modeling output and is important for filtering results in the data file (where a fractional coverage may be less than one).

Tags: climatologymeteorologyatmosphere, national-hydrologic-model-precipitation-runoff-modeling-system, nhm-prms, usgs-667b23c8d34e6151c9d6be10
Organization: Department of the Interior
Groundwater-Level Altitudes and Long-Term Groundwater-Level Changes in the Chicot and Evangeline (Undifferentiated) and Jasper Aquifers, Greater Houston area, Texas, 2022

The U.S. Geological Survey (USGS) in cooperation with the Harris‐Galveston Subsidence District, City of Houston, Fort Bend Subsidence District, Lone Star Groundwater Conservation District, and Brazoria County Groundwater Conservation District produced this dataset of groundwater‐level altitudes and groundwater‐level altitude changes in the Chicot and Evangeline aquifers (undifferentiated), and Jasper aquifer in the greater Houston area, Texas. This dataset shows current‐year (2022) groundwater‐level altitudes for each aquifer as well as 1–year (2021–22), and 5‐year (2017–22) groundwater‐level changes for each aquifer, long‐term (1990–2022 and 1977–2022) groundwater‐level changes for the Chicot and Evangeline aquifers (undifferentiated), and long‐term (2000–2022) groundwater‐level change for the Jasper aquifer. The groundwater‐level measurements from which the dataset was built are stored in the USGS National Water Information System (NWIS) (http://doi.org/10.5066/F7P55KJN) and are accessible through the NWIS Web Interface. In 2022, measured groundwater-level-altitudes for the Chicot and Evangeline aquifers (undifferentiated) ranged from about 304 feet (ft) below to about 248 ft above the North American Vertical Datum of 1988 (NAVD 88). Measured groundwater-level-altitudes for the Jasper aquifer ranged from about 240 ft below datum to about 272 ft above datum.

Tags: aquifer, brazoria-county-groundwater-conservation-district, brazoria-county-texas, chambers-county-texas, chicot-aquifer, city-of-houston-texas, elevation, evangeline-aquifer, fort-bend-county-texas, fort-bend-subsidence-district, galveston-county-texas, grimes-county-texas, groundwater, groundwater-level-altitude, harris-county-texas, harris-galveston-subsidence-district, houston-texas, hydrology, hypsometry, jasper-aquifer, liberty-county-texas, lone-start-groundwater-conservation-district, montgomery-county-texas, san-jacinto-county-texas, subsidence, texas, usgs-62fbf000d34eb7e309ca297a, walker-county-texas, waller-county-texas
Organization: Department of the Interior
National Assessment of Oil and Gas Project - Raton Basin-Sierra Grande Uplift Province (041) Boundary

The USGS Central Region Energy Team assesses oil and gas resources of the United States.  The onshore and State water areas of the United States comprise 71 provinces.  Within these provinces, Total Petroleum Systems are defined and Assessment Units are defined and assessed.  Each of these provinces is defined geologically, and most province boundaries are defined by major geologic changes.  
The Raton Basin-Sierra Grande Uplift Province is located in South Eastern Colorado and North Eastern New Mexico, encompassing all or parts of Custer, Huerfano, and Las Animas counties in Colorado and all or parts of Colfax, Harding, Mora, and Union counties in New Mexico. The main population centers within the study area are Trinidad, and Walsenburg Colo.; and Raton, New Mexico. The province boundary was drawn based on county lines to include the geologic structures generally considered to be in or bounding the Raton Basin-Sierra Grande Uplift Province

Tags: 41-raton-basin-sierra-grande-uplift-province, 504101-upper-cretaceous-tertiary-coalbed-gas, 50410101-upper-cretaceous-tertiary-sandstones, 50410181-raton-coalbed-gas, 50410182-vermejo-coalbed-gas, 504102-jurassic-cretaceous-composite, 50410201-fractured-reservoirs, 50410202-jurassic-lower-cretaceous-reservoirs, co, coalbed-methane-resources, earth-science, economic-geology, energy-resources, gas-hydrate-resources, geology, geoscientificinformation, national-assessment-of-oil-and-gas, natural-gas, natural-gas-resources, natural-resources, nm, noga2000, nogaraton, oil, oil-sand-resources, oil-shale-resources, oilgas, petroleum, province, raton, raton-basin, resource-assessment, ridgely-jennie, sedimentary-basin, sierra-grande-uplift, trinidad, u-s-geological-survey, united-states, us08-colorado, us35-new-mexico, usgs, usgs-60ad0bbad34e4043c850de51, usgs-world-energy-region-5
Organization: Department of the Interior
45-m ArcRaster Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H11322 in Western Rhode Island Sound (H11322_UTM45M, UTM19)

The United States Geological Survey (USGS) is working cooperatively with the National Oceanic and Atmospheric Administration (NOAA) to interpret the surficial geology in estuaries along the coast of the northeastern United States. The purpose of our present study is to define the sea floor morphology and sedimentary environments in an area of western Rhode Island Sound using sidescan-sonar imagery and bathymetry data collected aboard the NOAA Ship RUDE, as well as historic seismic records. The mosaic, bathymetry, and their interpretations serve many purposes, including: (1) defining the geological variability of the sea floor, which is one of the primary controls of benthic habitat diversity; (2) improving our understanding of the processes that control the distribution and transport of bottom sediments and the distribution of benthic habitats and associated infaunal community structures; and (3) providing a detailed framework for future research, monitoring, and management activities. The sidescan-sonar mosaics and bathymetry images also serve as base maps for subsequent sedimentological, geochemical, and biological observations, because precise information on environmental setting is important for selection of sampling sites and for accurate interpretations of point measurements.

Tags: arcraster-grid, atlantic-ocean, bathymetry, cmgp, coastal-and-marine-geology-program, depth, elevation, geoscientificinformation, geospatial-datasets, marine-geophysics, multibeam-bathymetry, multibeam-sonar, national-oceanic-and-atmospheric-administration, noaa, noaa-ship-rude, north-america, north-atlantic-ocean, northeast-united-states, oceans, ofr-2008-1181, open-file-report-2008-1181, point-judith, rhode-island, rhode-island-sound, sea-floor-characteristics, survey-h11322, u-s-east-coast, u-s-geological-survey, united-states, usgs, usgs-5276b058-e23c-460b-a787-21fbafa64455, whsc, woods-hole-science-center
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2005, 2008, 2012, 2016, 2018, and 2021 Site 5770 land-water matrix

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring to determine the efficacy of these projects. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 390 sites that encompass the range of hydrological and ecological conditions for each stratum. As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites. This dataset consists of a matrix of six land-water products (2005, 2008, 2012, 2016, 2018, and 2021).  The resulting matrix has 64 possible classes defined by the combination of land and water categories on those six dates.

Tags: alteration-of-wetland-habitats, cartography, coastal, coastal-louisiana, crms, doqq, emergent-wetland, forested-wetland, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, scrub-shrub-wetland, state-of-louisiana, usgs-654150d7d34ee4b6e05bcee2, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Regional scale magnetotelluric data from the Rio Grande Rift and southern Rocky Mountains, Station rgr506

This dataset consists of 102 magnetotelluric (MT) stations collected in 2012-2014 in the Rio Grande Rift and southern Rocky Mountains. The U.S. Geological Survey acquired these data to improve regional conductivity models of the western United States. This work is in support of studies of the effect of lithospheric modification on electrical resistivity structure and tectonic evolution of the western United States.

Tags: apparent-resistivity, basin-and-range, electromagnetic-surveying, geology-geophysics-and-geochemistry-science-center, geophysics, geoscientificinformation, gggsc, impedance, magnetic-field-earth, magnetotelluric, mineral-resources-program, mrp, mt, new-mexico, phase, regional-conductivity-models, rio-grande-rift, time-series, tipper, usgs-5ada26d3e4b0e2c2dd29776b
Organization: Department of the Interior
Oregon Mule Deer Ochoco Stopovers

The Ochoco mule deer herd has overlapping migration corridors and summer ranges, but can be separated into three general subherds based on winter range locations. During spring, mule deer in the northern subherd use winter ranges north of the Maury Mountains, near Crooked River and the Ochoco Reservoir, and either migrate farther north to the Ochoco Mountains and Laughlin Table or east, past Twelvemile Table to the foothills of Snow Mountain. Mule deer in the middle subherd winter south of the Maury Mountains and have ranges near Bear Creek, Smoky Butte, and South Fork Crooked River. Some of the middle subherd, like the northern subherd, travel east to the base of Snow Mountain, Green Butte, and Juniper Ridge. Others migrate south to Sears Canyon, the Paulina Mountains, and the Oregon High Desert. Mule deer in the southern subherd have winter ranges adjacent to U.S. Highway 20 and migrate south to summer ranges along the Glass Buttes and the edge of the High Desert region. Habitats are similar across the Ochoco herd management unit where big sagebrush and mountain big sagebrush give way to encroaching western juniper followed by stands of ponderosa pine, lodgepole pine, and other mixed-conifer species as elevations increase. However, winter and residential ranges for the southern subherd feature more low sagebrush and agriculture and the summer ranges are less forested than the other two subherds. 
The Ochoco mule deer herd faces several challenges, including extreme to exceptional droughts that can force mule deer to compete with feral horses for water and high-quality browse. Home ranges and high-use migration corridors overlap the Liggett Table HMA and Big Summit Wild Horse Territory, which contain estimates of 170 and 130 feral horses, respectively—far more than the maximum AMLs of 25 and 57 horses (BLM, 2023b; K. Kern, U.S. Forest Service, written commun., 2023). The Ochoco herd also inhabits the Maury and Ochoco WMUs, which were included in the five-year Mule Deer Initiatives for 2010 and 2015, respectively, to improve conditions for mule deer, primarily through habitat restoration (ODFW 2015, 2020). Since improvement efforts started in 2010, ODFW, BLM, and NRCS SGI have worked together to remove 150,931 acres (61,079 ha) of western juniper and treat 5,912 acres (2,392 ha) with prescribed burns. Additionally, they completed 26 water development projects and constructed 24.28 mi (39.08 km) of wildlife-friendly fencing to protect riparian areas for mule deer fawning habitat and improve cattle distributions.
These mapping layers show the location of the stopovers for mule deer (Odocoileus hemionus) in the Ochoco population in Oregon. They were developed from 154 migration sequences collected from a sample size of 57 animals comprising GPS locations collected every 3-13 hours.

Tags: animal-behavior, biota, migration-organisms, migratory-species, oregon, prineville, united-states, usgs-67917991d34ea6a4002bfaea
Organization: Department of the Interior
Development: Development delineation: Edwin B. Forsythe NWR, NJ, 2010

Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated into predictive models and the training data used to parameterize those models. This data release contains the extracted metrics of barrier island geomorphology and spatial data layers of habitat characteristics that are input to Bayesian networks for piping plover habitat availability and barrier island geomorphology. These datasets and models are being developed for sites along the northeastern coast of the United States. This work is one component of a larger research and management program that seeks to understand and sustain the ecological value, ecosystem services, and habitat suitability of beaches in the face of storm impacts, climate change, and sea-level rise.

Tags: atlantic-ocean, barrier-island, cmgp, coastal-and-marine-geology-program, coastal-armoring, coastal-habitat, coastal-hazards, edwin-b-forsythe-nwr, environment, geographic-information-systems, geospatial-datasets, gis, human-development, land-use-and-land-cover, long-beach-island, new-jersey, nj, north-america, pullen-island, st-petersburg-coastal-and-marine-science-center, u-s-geological-survey, united-states, usa, usgs, usgs-5d0bc8f5e4b0941bde4fc5c9, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Geochemical Database for the Brackish Groundwater Assessment of the United States: Dissolved-Solids Dataset

Brackish groundwater (BGW), defined for this assessment as having a dissolved-solids concentration between 1,000 and 10,000 milligrams per liter is an unconventional source of water that may offer a partial solution to current (2016) and future water challenges. In support of the National Water Census, the U.S. Geological Survey has completed a BGW assessment to gain a better understanding of the occurrence and character of BGW resources of the United States as an alternative source of water. Analyses completed as part of this assessment relied on previously collected data from multiple sources, and no new data were collected. One of the most important contributions of this assessment is the creation of a database containing chemical data and aquifer information for the known quantities of BGW in the United States. Data were compiled from single publications to large datasets and from local studies to national assessments, and includes chemical data on the concentrations of dissolved solids, major ions, trace elements, nutrients, radionuclides, and physical properties of the resource (pH, temperature, specific conductance). This dataset represents major-ions data from a compilation of water-quality samples from 33 sources for almost 384,000 groundwater wells across the continental U.S., Alaska, Hawaii, Puerto Rico, the U.S. Virgin Islands, Guam, and American Samoa. The data are published here as an ESRI geodatabase with a point feature class, and associated attribute table, and also as non-proprietary comma-separated value table. Dissolved-solids data include information for assessing the distribution of dissolved-solids concentrations and other chemical constituents that may limit the usability of brackish groundwater. It was not possible to compile all data available for the Nation, and data selected for this investigation were mostly limited to larger datasets that were available in a digital format. As a result, some data on a more local-scale may not be included.

Tags: alaska, american-samoa, aquifers, brackish, contiguous-united-states, dissolved-solids, groundwater, guam, hawaii, inlandwaters, major-ions, puerto-rico, saline, tds, total-dissolved-solids, trace-elements, u-s-virgin-islands, united-states, usgs-589365b5e4b0fa1e59b7331e
Organization: Department of the Interior
Pesticides in Daily and Weekly Water Samples from the NAWQA Midwest and Southeast Stream Quality Assessments (2013-2014)

These datasets are one component of the multistressor studies conducted in Midwest streams in 2013 (MSQA) and in Southeast streams in 2014 (SESQA) by the U.S. Geological Survey National Water Quality Assessment Project. High-frequency small-volume autosamplers were deployed at 7 sites each in MSQA and SESQA that collected daily and weekly composite water samples, which were analyzed for 225 pesticides and pesticide degradates. Five of the MSQA autosampler sites were in agricultural watersheds and two in urban watersheds, whereas all seven SESQA autosampler sites were in urban watersheds. The daily and weekly composite samples were compared with results from traditional discrete water samples collected weekly at the sites. Mixtures of pesticides were present in most samples and the Pesticide Toxicity Index (PTI) and acute invertebrate benchmarks were used to evaluate the potential for acute invertebrate toxicity of mixtures. This Data Release provides concentration data for pesticide compounds in environmental weekly and daily composite water samples, pesticide analyte information, summaries of quality control data, and PTI scores, in support of the journal article “Daily-composite stream samples reveal highly complex pesticide occurrence and potential toxicity to aquatic life,” by Norman, J.E., Mahler, B.J., Nowell, L.H., Van Metre, P.C., Sandstrom, M.W., Corbin, M.A., Qian, Y., Pankow, J.F., Luo, W., Fitzgerald, N.B., Asher, W.E., and McWhirter, K.J.

Tags: 2013, 2014, alabama, april, august, corn-belt, daily-sampling, fungicide, georgia, herbicide, illinois, indiana, insecticide, iowa, july, june, kansas, kentucky, may, minnesota, missouri, mixtures, national-water-quality-assessment, nawqa, nebraska, north-carolina, ohio, pesticide, pesticide-degradate, piedmont-ecoregion, south-carolina, south-dakota, southern-appalachian-mountains, spring, stream, summer, surface-water, tennessee, united-states, usgs-5d30ff77e4b01d82ce84ab36, virginia, water-quality, wisconsin
Organization: Department of the Interior
Long-term and short-term shoreline change rates for the coastal region around Boston, Massachusetts, calculated with and without the proxy-datum bias using the Digital Shoreline Analysis System version 5.1

The Massachusetts Office of Coastal Zone Management launched the Shoreline Change Project in 1989 to identify erosion-prone areas of the coast and support local land-use decisions. Trends of shoreline position over long and short-term timescales provide information to landowners, managers, and potential buyers about possible future impacts to coastal resources and infrastructure.  In 2001, a 1994 shoreline was added to calculate both long- and short-term shoreline change rates along ocean-facing sections of the Massachusetts coast. In 2013 two oceanfront shorelines for Massachusetts were added using 2008-2009 color aerial orthoimagery and 2007 topographic lidar datasets obtained from NOAA's Ocean Service, Coastal Services Center. In 2018, two new mean high water (MHW) shorelines for the Massachusetts coast extracted from lidar data between 2010-2014 were added to the dataset. This 2021 data release includes rates that incorporate one new shoreline extracted from 2018 lidar data collected by the U.S. Army Corps of Engineers (USACE) Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX), added to the existing database of all historical shorelines (1844-2014), for the North Shore, South Shore, Cape Cod Bay, Outer Cape, Buzzard’s Bay, South Cape, Nantucket, and Martha’s Vineyard. 2018 lidar data did not cover the Boston or Elizabeth Islands regions. Included in this data release is a proxy-datum bias reference line that accounts for the positional difference in a proxy shoreline (like a High Water Line shoreline) and a datum shoreline (like a Mean High Water shoreline. This issue is explained further in Ruggiero and List (2009) and in the process steps of the metadata associated with the rates. This release includes both long-term (~150+ years) and short term (~30 years) rates.  Files associated with the long-term rates have "LT"; in their names, files associated with short-term rates have "ST"; in their names.

Tags: accretion, atlantic-coast, baseline, boston, cmgp, coastal-and-marine-geology-program, coastal-processes, digital-shoreline-analysis-system, dsas, erosion, esri-polyline-shapefile, geoscientificinformation, geospatial-datasets, historical-shoreline, linear-regression-rate, long-term, lrr, massachusetts, massachusetts-office-of-coastal-zone-management, new-england, oceans, shoreline, shoreline-change-rate, short-term, transect, u-s-geological-survey, united-states, usgs, usgs-61081503d34ef8d70565b3fb, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior