AndreaBozzo/ceres-open-data-index huggingface dataset:
2020 Hydrologic Data Summary for the Central Pine Barrens Region, Suffolk County, New York (ver. 2.0, February 2024)

This U.S. Geological Survey data release provides surface-water quality, streamflow, and groundwater-elevation data collected within the Central Pine Barrens (CPB) Region of Suffolk County, New York, from October 1, 2019 through September 30, 2020. The data were collected in cooperation with the Central Pine Barrens Commission and the Town of Brookhaven as part of a five-year comprehensive water-resources monitoring program. Water quality and quality-assurance data from seven sites on two rivers (Carmans River- five sites and Peconic River- two sites) in the CPB are included. Carmans River sites were sampled four times throughout the year (fall, winter, spring, and summer) and Peconic River sites were sampled twice throughout the year (fall and spring). Water-quality field parameters measured during each site visit are included. All samples were analyzed for nutrients, major inorganics, and alkalinity. An annual set of organic samples for pesticide and pharmaceutical analysis were collected at one Carmans River site and two Peconic River sites. Periodic groundwater-elevation data collected from six CPB wells are included. Continuous (15-minute interval) groundwater-elevation data are included for one of the six wells.
First posted October 12, 2021, ver. 1.0 
Revised December 2022, ver. 1.1
Revised February 2024, ver. 2.0

Tags: environmental-health, groundwater, long-island, new-york, pine-barrens, river, stream, suffolk-county, surface-water, surface-water-quality, united-states, usgs-62d9650bd34e2842e1edcf5a, water-quality
Organization: Department of the Interior
Emerging contaminant data at wastewater treatment facilities, municipal water supplies, surface water and lake sites in the northeastern United States, 2009-2018 (ver. 1.1, January 2023)

Over 300 samples were collected in New York, Vermont, and Massachusetts from wastewater treatment facilities (20 locations), drinking water facilities (9 locations), streams (53 locations), lakes (2 locations), a bay (1 location), and a POCIS (Polar Organic Chemical Integrative Sampler) blank sample between April 2009 and October 2018.  This data release provides chemistry data for over 400 analytes, including pharmaceuticals, hormones, personal care and domestic use compounds, pesticides and other compounds using 10 different laboratory analytical methods on water, sediment, wastewater sludge, and POCIS samples.  Quality assurance data, such as equipment and field blank data and percent recovery for isotopic dilution standards, are included when available for a method.
First posted November 5, 2019, ver. 1.0 
Revised January 2023, ver. 1.1

Tags: albany-county, androgen, antacid, antibiotics-human-and-veterinary, antidepressant, antidiabetics, antihistamine, antiviral, atrazine, barnstable-county, beta-blocker-heart, bronx-county, broome-county, caffeine-nicotine, chittenden-county, cortland-county, delaware-county, dutchess-county, environmental-quality, estrogen, flame-retardant, fungicide, herbicide, herkimer-county, hormones, insecticide, madison-county, massachusetts, montgomery-county, nassau-county, new-york, oneida-county, opiate, orange-county, oswego-county, otsego-county, personal-care-domestic-use, pharmaceutical, plant-animal-biochemical, plasticizer, progesterone, progestin, putnam-county, rensselaer-county, saratoga-county, schenectady-county, stimulant-abuse, suffolk-county, usgs-62d96808d34e2842e1edcf6e, vermont, water-quality
Organization: Department of the Interior
Water stargrass biomass, stream metabolism estimates, and nutrient data quality control data for the lower Yakima River: June 2018 through September 2020 (ver. 2.0, August 2025)

This dataset provides information collected at three stream monitoring sites on the lower Yakima River in Washington State from June 2018 through September 2020 by the U.S. Geological Survey. Sample locations included the Yakima River at Prosser, WA (USGS Station, 12509489), the Yakima River at Kiona, WA (USGS Station, 12510500), and the Yakima River at Van Giesen bridge near Richland, WA (USGS Station, 12511800). Water stargrass (Heteranthera dubia) biomass was collected six times from August 2018 to August 2020 from all three sites. Plant samples were dried and areal mass was measured in grams per square meter squared (g/m2). These data are provided in the files “Yakima.biomass.csv”. The presence/absence of water stargrass surrounding each monitoring station was determined by counting if water stargrass was present at 1-meter intervals along 5 to 10 transects at each monitoring station; these counts are provided in the file "Yakima.biomass.point.counts.csv".  
In addition, stream metabolism was modeled at two sites: the Yakima River at Kiona, WA from June 2018 to October 2020, and Yakima River and at Van Giesen bridge near Richland, WA  from August 2018 to March 2020 using the streamMetabolizer package in R. For each site, four files are provided; (1) the input data, which includes continuous dissolved oxygen, solar time, water temperature, light, and stream depth, (2) the output file containing the daily metabolism estimates, (3) a site-specific html 'guide' for running the streamMetabolizer package in R, and (4)  a README text file explaining file contents. Model input data were downloaded directly from the USGS National Water Information System (NWIS) (dissolved oxygen and temperature), downloaded directly from data loggers deployed in the field (light and depth), or calculated in the StreamMetabolizer program (DO saturation and solar time).
Finally, water quality control data from discrete nutrient sampling are provided. These data include results from 6 field blanks (blanks.csv) and 6 sets of field replicates (replicates.csv) collected during this study. 
Refer to "version_notes.txt" for specific updates to version 2.0 of this data release.
First release: 2024-07-29 (ver. 1.0)
Revised: 2025-08-13 (ver. 2.0)

Tags: benton-county, dissolved-oxygen, ecosystem-respiration, environment, gross-primary-productivity, heteranthera-dubia, inlandwaters, oxygen-content-water, photosynthesis, richland-wa, rivers, stream-metabolism, streammetabolizer, streams, united-states, usgs-62d987d3d34e2842e1edcfcd, washington-state, water-quality, water-stargrass, water-temperature, yakima-river
Organization: Department of the Interior
Maps of mule deer avoidance areas based on density of oil and gas developments, Book Cliffs, Utah

Vector data showing areas of dense oil and gas development that mule deer are expected to avoid, for twelve study sites in the Book Cliffs region in Utah.

Tags: conservation, ecology, environment, human-impact, remote-sensing, spatial-analysis, united-states, usgs-62d9a47bd34e2842e1ee05ee, utah, well-drilling
Organization: Department of the Interior
Airborne magnetic data, Munsungun region in northern Maine, 2021

Airborne magnetic data are provided here as part of the data release, "Airborne magnetic and radiometric survey, Munsungun Region, northern Maine, 2021." This website includes the processed aeromagnetic data provided in an ascii .csv file and a geoTIFF image showing the anomalous magnetic field. The contractor report is available on the parent page. Data for this survey were collected and processed by Sander Geophysics under contract with the USGS as part of the Earth Mapping Resources Initiative (Earth MRI) using a fixed wing aircraft with a magnetometer mounted in a tail stinger and a fully calibrated gamma ray spectrometer, data were collected along northwest-southeast flight lines spaced 250 meters (m) apart with northeast-southwest tie lines flown every 2500 m.  The target terrain clearance was 100 m, with higher clearance over areas with rugged topography and population centers due to safety considerations. A total of 43,271-line kilometers (km) of data were collected. Processing details are provided in the contractor report.

Tags: aeromagnetic-surveying, aeroradiometric-surveying, airborne-geophysical-survey, allagash-lake, aroostook-county, aroostook-river, bever-brook, big-machias-lake, carr-pond, chamberlain-lake, chesuncook-lake, clear-lake, eagle-lake, earth-mapping-resources-initiative, earthmri, economy, fish-river, fish-river-lake, geology-geophysics-and-geochemistry-science-centergggsc, geophysics, geoscientificinformation, geospatial-datasets, gero-island, glazier-brook, harrow-lake, harvey-pond, haymock-lake, horizontal-magnetic-gradiometry, little-madawaska-river, longley-pondk, loon-lake, machias-river, magnetic-field-earth, maine, mineral-resources-program, mrp, mud-lake, munsungun-region, northern-maine, penobscot-county, piscataquis-county, pleasant-lake, portage-lake, potassium, pratt-lake, priestly-lake, rocky-brook, round-pond, rowe-lake, saint-froid-lake, shallow-lake, somerset-county, spider-lake, squa-pan-lake, square-lake, third-lake, thorium, twentyfive-mile-brook, twin-lake, u-s-geological-survey, united-states, united-states-of-america, uranium, usa, usgs, usgs-62d9e324d34e2842e1ee0fae, vertical-magnetic-gradient, webster-brook, webster-lake
Organization: Department of the Interior
Larval fish and water profile data from Lake Huron in 2017

These data consist of larval fish and water profile data collected with a nearshore to offshore transect approach at 9 transects throughout Lake Huron. Larval fish and their stomach contents were identified, enumerated, and measured (if possible) using a dissecting microscope. These data were used to calculate densities of potential fish prey items (what is available in the environment) and compare that to what the fishes ate for selectivity analysis. Larval fish age estimation based on daily growth rings from otoliths was also conducted. These data are in raw form. The water profile data were collected using a bathythermograph and bin-averaged at the 1 m level. Environmental prey data are available at the following address: https://doi.org/10.5066/p9bnqppm.

Tags: aquatic-ecosystems, biota, community-ecology, environment, field-sampling, fish, fisheries-biology, food-web, inlandwaters, invertebrates, lake-huron, michigan, northwestern-lake-huron, ontario, plankton, planktonic-biota, population-and-community-ecology, southwestern-lake-huron, species-diversity, specimen-collecting, usgs-62daab93d34e2842e1ee57c7, zooplankton
Organization: Department of the Interior
Model archive - Regional regression models for estimating flood frequency characteristics of unregulated streams in Wisconsin

This model archive contains R source code for the Weighted-Multiple Linear Regression Program (WREG), input files, and associated output files needed to recreate regression models that are discussed in the report: Levin, S.B. and Sanocki, C.A., Methods for estimating flood magnitude and frequency for unregulated streams in Wisconsin, U.S. Geological Survey Scientific Investigations Report 2022-5118 (https://doi.org/10.3133/sir20225118). More information and instructions for running the model archive are included in the README.txt file. Information regarding the WREG program can be found at: https://water.usgs.gov/software/WREG/.

Tags: biota, flood-frequency, regional-regression, usgs-62db0586d34e295035a982ad, wisconsin
Organization: Department of the Interior
Random forest classification data developed from multitemporal Landsat 8 spectral data and phenology metrics for a subregion in Sonoran and Mojave Deserts, April 2013 – December 2020

These data were compiled for the creation of a continuous, transboundary land cover map of Bird Conservation Region 33, Sonoran and Mojave Deserts (BCR 33). Objective(s) of our study were to, 1) develop a machine learning (ML) algorithm trained to classify vegetation land cover using remote sensing spectral data and phenology metrics from 2013-2020, over a large subregion of the Sonoran and Mojave Deserts BCR, 2) Calibrate, validate, and refine the final ML-derived vegetation map using a collection of openly sourced remote sensing and ground-based ancillary data, images, and limited fieldwork, and 3) Harmonize a new transboundary classification system by expanding existing land cover mapping resources from the United States portion of BCR 33 into Mexico. These data represent the final land cover maps produced by the developed random forest model, with additional ancillary labels for urban and agriculture areas. These data were created within a subregion of the Sonoran and Mojave Deserts BCR which spans from Phoenix, Arizona, US to Hermosillo, Sonora, Mexico for the time of April 2013 to December 2020. These data were created by the University of Arizona Vegetation Index and Phenology Lab who collected, processed, and analyzed all of the data and developed the random forest model used to produce the final mapping results. These data can be used to guide land management and conservation decisions within the Sonoran and Mojave Deserts BCR.

Tags: arizona, artificial-intelligence, baja-california, biogeography, biota, california, classification, conservation, data-release, desert-ecosystems, ecosystem-management, hermosillo, imagerybasemapsearthcover, land-use-and-land-cover, landsat-images, machine-learning, mexico, modeling, mojave-desert, natural-resource-management, phenology, phenology-metrics, phoenix, random-forest-model, remote-sensing, remote-sensing-spectral-data, sonora, sonoran-desert, southwest, time-series-datasets, transboundary, united-states, us-mexico-transboundary-region, usgs-62db116dd34e295035a982ed, vegetation
Organization: Department of the Interior
USGS Gulf Coast Geologic Energy Assessments and Research Project-Upper Jurassic Smackover Formation Continuous Resources: Assessment Unit Boundaries, Assessment Input Data, and Fact Sheet Data Tables

This data release contains the boundaries of assessment units and input data for the assessment of undiscovered continuous oil and gas resources in the Smackover formation in the U.S. Gulf Coast. The Assessment Unit is the fundamental unit used in the National Assessment Project for the assessment of undiscovered oil and gas resources.  The Assessment Unit is defined within the context of the higher-level Total Petroleum System.  The Assessment Unit is shown herein as a geographic boundary interpreted, defined, and mapped by the geologist responsible for the province and incorporates a set of known or postulated oil and (or) gas accumulations sharing similar geologic, geographic, and temporal properties within the Total Petroleum System, such as source rock, timing, migration pathways, trapping mechanism, and hydrocarbon type.  The Assessment Unit boundary is defined geologically as the limits of the geologic elements that define the Assessment Unit, such as limits of reservoir rock, geologic structures, source rock, and seal lithologies.  The only exceptions to this are Assessment Units that border the Federal-State water boundary.  In these cases, the Federal-State water boundary forms part of the Assessment Unit boundary.  In addition to the shapefile, for U.S. assessments, allocation tables are provided that enumerate percentages assigned to various land categories. Machine-readable tables are also provided that contain the input and results for each assessment unit summarized in the USGS Fact Sheet. Methodology of assessments are documented in USGS Data Series 547 for continuous assessments (https://pubs.usgs.gov/ds/547) and USGS DDS69-D, Chapter 21 for conventional assessments (https://pubs.usgs.gov/dds/dds-069/dds-069-d/REPORTS/69_D_CH_21.pdf).  See supplemental information for a detailed list of files included this data release.

Tags: assessment-unit, continuous-assessment-unit, energy-resources, geology, geoscientificinformation, national-assessment-of-oil-and-gas, natural-gas, natural-gas-resources, noga2000, oil, oil-resources, oilgas, petroleum, resource-assessment, smackover-inner-ramp-continuous-gas, smackover-inner-ramp-interbedded-sandstone-continuous-gas, smackover-inner-ramp-interbedded-sandstone-continuous-oil, smackover-inner-ramp-salt-basins-and-peripheral-fault-zone-continuous-gas, smackover-inner-ramp-salt-basins-and-peripheral-fault-zone-continuous-oil, smackover-outer-ramp-continuous-gas, smackover-outer-ramp-salt-basins-continuous-gas, state-of-alabama, state-of-arkansas, state-of-florida, state-of-louisiana, state-of-mississippi, state-of-texas, unconventional-assessment-unit, united-states-of-america, usgs-62deb584d34e295035a9c48b
Organization: Department of the Interior
Data from the Assessment, Total Maximum Daily Load (TMDL) Tracking and Implementation System (ATTAINS) for evaluating multiple stressors affecting Chesapeake Bay watershed rivers and streams

This data set compiles regulatory information about river and stream impairments within the Chesapeake Bay watershed as part of a Chesapeake Bay watershed multi-stressor meta-analysis project. 
Data are contained in a single combined and name-harmonized dataset originating from a snapshot of the Environmental Protection Agency's Assessment and Total Maximum Daily Load Tracking and Implementation System (ATTAINS) obtained in Spring of 2020. These data were clipped to only waterbodies contained in the Chesapeake Bay watershed and were designated to be free-flowing (e.g., rivers and streams). This compiled dataset contains information on a waterbody's designated uses, parameter impairments, and potential sources of that impairment.
Be aware, as data on potential sources were joined to parameter impairments in a "one-parameter to many-sources" format, individual impairments might have multiple rows in this dataset, with one row for each potential source. Use of this dataset to evaluate only unique parameter impairments necessitates retaining only unique parameter and assessment unit information.

Tags: biota, chesapeake-bay-watershed, delaware, district-of-columbia, environment, freshwater-ecosystems, inlandwaters, maryland, new-york, pennsylvania, united-states, usgs-62debc04d34e295035a9c49a, virginia, water-quality, west-virginia
Organization: Department of the Interior
Topographic change in Sleeping Bear Dunes National Lakeshore between 1955 and 2015

This raster dataset describes terrain changes that occurred between 1955 and 2015 in Sleeping Bear Dunes National Lakeshore. The DoD values may be used to highlight landslide-prone areas and sand dune movements, as well as to identify other topographic changes caused by anthropogenic activities. The value of each 1 square meter gridcell in this raster indicates the elevation change that occurred in SBDNL between 1955 and 2015. The 1955 DEM was produced from historical aerial imagery acquired on April 1, 1955 at a flying height of 8,500 ft (1:17,000). Structure from motion (SfM) analysis of this imagery produced a 0.88 m DEM, which was edited and resampled to 1 m to match the 1m DEM produced from the 2015 lidar data. This raster dataset is the DEM of Difference (DoD) produced by subtracting the 1955 DEM from the 2015 DEM; positive values indicate an increase in terrain height and negative values indicate a decrease in terrain height. Error analysis of the 1955 and 2015 DEMs indicates that values between -1.25 and 1.25 may be more indicative of error in the DEMs than in measured topographic change.

Tags: elevation, geomorphology, geospatial-datasets, time-series-analysis, time-series-datasets, topography, usgs-62dec2b5d34e952be9094118
Organization: Department of the Interior
1955 DEM for Sleeping Bear Dunes National Lakeshore

This raster dataset describes elevation values, in meters (m), in Sleeping Bear Dunes National Lakeshore in 1955. The 1955 DEM was produced from historical aerial imagery acquired on April 1, 1955 at a flying height of 8,500 ft (1:17,000). Structure from motion (SfM) analysis of this imagery produced a 0.88 m DEM, which was edited and resampled to 1 m.

Tags: elevation, geomorphology, geospatial-datasets, topography, usgs-62dec315d34e952be909411c
Organization: Department of the Interior
Low-altitude georeferenced aerial imagery collected from a Helikite at Marconi Beach, Wellfleet on March 11, 2022

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 2022, 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 with the collected imagery, which was merged with the bathymetry in MATLAB (v. 2020b) to create a continuous topobathy product.

Tags: 3-band-imagery, aerial-and-satellite-photography, aerial-imagery, aerial-photography, cape-cod, cmhrp, coastal-and-marine-hazards-and-resources-program, elevation, geoscientificinformation, geospatial-datasets, geotagged-photos, helikite, image-collections, jpg, location, low-altitude-aerial-imagery, marconi-beach, massachusetts, oceans, photographs, remote-sensing, shoreline, shoreline-photographs, u-s-geological-survey, uas, united-states, usgs, usgs-62deeb0ad34e952be9094195, wellfleet, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Ground control points used at Marconi Beach, Wellfleet on March 11, 2022

The data in this release 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 2022, U.S Geological Survey and Woods Hole Oceanographic Institute (WHOI) scientists conducted field surveys to map the CoastCam field of view. Aerial 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 filled 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 with the collected imagery, which was merged with the bathymetry in MATLAB (v. 2020b) to create a continuous topobathy product.

Tags: aeropoints, cape-cod, cmhrp, coastal-and-marine-hazards-and-resources-program, datasets, geolocation-measurement, geoscientificinformation, gps-measurement, gps-navigation, location, marconi-beach, massachusetts, oceans, truro, u-s-geological-survey, united-states, usgs, usgs-62deecd5d34e952be909419a, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior