AndreaBozzo/ceres-open-data-index huggingface dataset:
National Assessment of Oil and Gas Project - Western Oregon-Washington Province (004) Tabular Datasets

This dataset comprises a collection of tabular data and graphical images supporting the U.S. Geological Survey's National Oil and Gas Assessment (NOGA) for Western Oregon-Washington Province (004). 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, national-and-global-assessment-oil-and-gas, natural-gas, natural-gas-resources, oil, usgs-65eb5745d34e14033297dc88
Organization: Department of the Interior
National Assessment of Oil and Gas Project - Uinta-Piceance Province (020) Tabular Datasets

This dataset comprises a collection of tabular data and graphical images supporting the U.S. Geological Survey's National Oil and Gas Assessment (NOGA) for Uinta-Piceance Province (020). 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, national-and-global-assessment-oil-and-gas, natural-gas, natural-gas-resources, oil, usgs-65eb3faad34e14033297dbfe
Organization: Department of the Interior
Data for quality-control equipment blanks, field blanks, and field replicates for baseline water quality in watersheds within the shale play of eastern Ohio, 2021–23

In 2021–23, the U.S. Geological Survey (USGS), in cooperation with the Ohio Division of Natural Resources, led a study to characterize baseline water quality (2021–23) in eastern Ohio, as they relate to hydraulic fracturing and (or) other oil and gas extraction-related activities. Water-quality data  were collected eight times at each of eight sampling sites during a variety of flow conditions to assess baseline water quality. Quality-control (QC) samples collected before and during sampling consisted of blanks and replicates. Blank samples were used to check for contamination potentially introduced during sample collection, processing, equipment cleaning, or analysis. Replicate samples were used to determine the reproducibility or variability in the collection and analysis of environmental samples. All QC samples were collected and processed according to protocols described in the “National Field Manual for the Collection of Water-Quality Data” (USGS, variously dated). To ensure sample integrity and final quality of data, QC samples (one equipment blank, three field blanks, and five replicate samples) were collected for major ions, nutrients, and organics. This data set includes one table of blank samples and one table of field replicate samples.
U.S. Geological Survey, variously dated, National field manual for the collection of water-quality data: U.S. Geological Survey Techniques of Water-Resources Investigations, book 9, chaps. A1-A10, available online at http://pubs.water.usgs.gov/twri9A.

Tags: hydraulic-fracturing, quality-control-samples, surface-water-quality, usgs-65eb3f43d34e14033297dbf9, water-use
Organization: Department of the Interior
Thermal imagery acquired from an Uncrewed Aerial System (UAS) and hydroacoustic measurements of flow velocity collected along the Sacramento River, California, November, 2023

A reach of the Sacramento River near Glenn, California, was selected as a field site to test a sensor payload developed by the U.S. Geological Survey and the National Aeronautics and Space Administration for estimating surface flow velocities in rivers. The payload, called the River Observing System (RiOS), can be deployed from an uncrewed aircraft system (UAS). RiOS includes visible and thermal cameras, a laser range finder, an inertial navigation system, an embedded computer for storing and processing data, and a wireless link for transmitting data to a ground station. This data release includes thermal imagery acquired by RiOS and stored in Robot Operating System (ROS) *.bag files. The bag files are organized into two separate zip archives, one for each date of data collection. Foxglove Studio, an open-source data visualization tool, can be used to view the thermal images contained within the bag files (see link in Related External Sources). Once the thermal bag file is loaded in Foxglove Studio, open the settings and set the color mode to gradient and the minimum and maximum values to 12,000 and 15,000, respectively (see Foxglove.jpg in Attached files). The minimum and maximum values can be adjusted from these default values to enhance image contrast.
The thermal images were used as input to an image velocimetry algorithm to estimate the surface flow velocities along the river. To assess the accuracy of these image-derived velocity estimates, field measurements of flow velocity were obtained using a SonTek M9 acoustic Doppler current profiler (ADCP) using the RiverSurveyor Live software package. ADCP measurements were collected along multiple pre-planned cross section lines oriented perpendicular to the primary downstream flow direction. At each transect, multiple ADCP passes were made and the data was then processed using the Velocity Mapping Toolbox (VMT) to produce mean cross sections (Parsons et al., 2013). The output from VMT consisted of a single comma delimited text file with the following seven column headers: 1) xs: the river transect stationing in meters; 2) x_meters: easting (x) spatial coordinate in meters; 3) y_meters: northing (y) spatial coordinate in meters; 4) depth_meters: depth in meters; 5) vmag_meters_per_second: the depth-averaged velocity magnitude in meters per second; 6) u_meters_per_second: east (u) component of the depth-averaged velocity vector in meters per second; and 7) v_meters_per_second: northing (v) component of the depth-averaged velocity vector in meters per second. The spatial coordinates are projected in Universal Transverse Mercator (UTM) Zone 10, World Geodetic System 1984 (WGS-84) datum.

Tags: acoustic-doppler-current-profiler-adcp, california, flow-velocity, image-velocimetry, sacramento-river, thermal, uncrewed-aircraft-systems-uas, usgs-65eb1953d34e14033297db7d
Organization: Department of the Interior
Microscopic Images of Leonardite and Humate Biochar: Using Reflected Light Microscopy in Biochar Characterization

Biochar is a carbon-rich substance that is derived through the thermochemical conversion of biomass. Biochar is recognized for its significance in environmental applications and sustainable agriculture. In an effort to comprehend how the source material and pyrolysis parameters influence its properties, reflected light microscopy is being used to produce microscopic images for analysis of selected physical and chemical properties. An atlas of microscopic images of biochar has been compiled by the Indiana Geological and Water Survey at Indiana University, Bloomington, IN, USA, containing more than 300 images contributed by researchers across the globe. USGS contributed 13 photomicrograph images from two biochar source materials: Leonardite and Humate. This dataset represents these 13 images.

Tags: biochar, biomass, geoscientificinformation, humate, leonardite, microscopy, new-mexico, north-dakota, usgs-65eb0ba1d34e14033297d315
Organization: Department of the Interior
Selection and survival of Greater Sage-grouse nests and broods in the Bi-State region of California and Nevada

Resource selection functions (RSF) and associated maps are often used by managers to guide conservation actions (Crawford et al., 2020; Pratt and Beck, 2021; Saher et al., 2022). However it is important to move beyond designating important habitat solely based on species occupancy or use. Incorporating demographic measures such as reproductive success will provide increased power and detail for ranking habitat for management priority, particularly across multiple life stages and large spatial extents (Gibson et al., 2016; Pratt and Beck, 2021; Stephens et al., 2015). We provide a quantitative approach to differentiate productive habitats supporting high selection and survival from areas of maladaptive selection where selection and survival are misaligned at large spatial scales.
References cited
Crawford, B. A., Maerz, J. C., and Moore, C. T. (2020). Expert-informed habitat suitability analysis for at-risk species assessment and conservation planning. Journal of Fish and Wildlife Management, 11(1), 130-150. https://doi.org/10.3996/092019-JFWM-075 
Gibson, D., Blomberg, E. J., Atamian, M. T., and Sedinger, J. S. (2016). Nesting habitat selection influences nest and early offspring survival in Greater Sage-Grouse. The Condor: Ornithological Applications, 118(4), 689-702. https://doi.org/10.1650/CONDOR-16-62.1
Pratt, A. C., and Beck, J. L. (2021). Do greater sage-grouse exhibit maladaptive habitat selection? Ecosphere, 12(3), e03354. https://doi.org/10.1002/ecs2.3354
Saher, D. J., O’Donnell, M. S., Aldridge, C. L., and Heinrichs, J. A. (2022). Balancing model generality and specificity in management-focused habitat selection models for Gunnison sage-grouse. Global Ecology and Conservation, 35, e01935. https://doi.org/10.1016/j.gecco.2021.e01935
Stephens, P. A., Pettorelli, N., Barlow, J., Whittingham, M. J., and Cadotte, M. W. (2015). Management by proxy? The use of indices in applied ecology. Journal of Applied Ecology, 52(1), 1-6.

Tags: animal-behavior, bi-state, biota, california, demographic-response, ecology, greater-sage-grouse, habitat-selection, life-stages, native-species, nevada, reproduction, shrubland-ecosystems, source-sink, survival, usgs-65ea66c1d34e1403329783d5
Organization: Department of the Interior
Landscape variables informing selection and survival of Greater Sage-grouse nests and broods in the Bi-State region of California and Nevada

These data are the input tables for the habitat selection and survival models. The tables are the result of extracting values from rasters to both 'used' and 'available' locations; 'used' refers to an observation of a sage-grouse nesting or brood rearing, 'available' is a randomly-generated location proximal to a paired 'used' location. For these locations, we extract values from multiple rasters expressing landscape characteristics such as landcover (such as sagebrush, annual grass, or shrubs, expressed as a percentage), height of sagebrush, distance to water features, distance to anthropogenic features, and topographic transformations (such as slope, heat load index, and roughness). There are also some values in the table that are not the result of value extraction, but rather field-collection such as date, fate, and age (in days) of the nest or brood. Ultimately, the locations were removed from these tables as sage-grouse are considered to be a sensitive species.

Tags: animal-behavior, bi-state, biota, california, demographic-response, ecology, greater-sage-grouse, habitat-selection, life-stages, native-species, nevada, reproduction, shrubland-ecosystems, source-sink, survival, usgs-65ea6627d34e1403329783d1
Organization: Department of the Interior
Data Describing Effects of Telemetry Collars on Horses and Burros Between 2016 and 2020

This dataset includes a number of datasets collected to assess the potential effects of GPS telemetry collars on free-roaming feral equid species in North America: horses and burros. The behavior dataset (Behavioral_data_collared_uncollared.csv) includes frequency of maintenance behaviors of collared and un-collared horses at Conger Herd Management Area (HMA), and burros at Lake Pleasant and Sinbad Herd Management Areas (HMAs). The dataset also includes data on collar effects to fur and superficial effects observed, showing the count of fur effects (i.e., sweaty neck, indented fur, broken fur) and superficial effects (chafe, wound, or scab) on horses and burros over the time that they wore a collar (Collar_fur_and_superficial_effects_over_time.csv).  Data on physical effects of collars (Equid_collar_effects_data_2016_2020.csv) provides each observation of a horse or burro to record any effects seen. Foal survival data (Horse_burro_foal_survival_collared_uncollared_mother.csv) provides survival of foals to 12 months (or to the end of the study) of collared and un-collared horse and burro mothers. There is data on the success of remote drop off and timed release drop off mechanisms (Collar_remote_release_success_data.csv) that provides counts related to when collars were deployed and when they were dropped or attempted to be dropped from the horse or burro. Collar drop success data shows the number of failed and successful attempts to remove a radio collar after a specified number of months of deployment (Collar_drop_success_at_months_deployed.csv).

Tags: adobe-town, animal-behavior, arizona, biota, burro, conger-mountain, donkey, equus, feral-donkey, feral-horse, foal, frisco-peak, lake-pleasant, mortality, sinbad, telemetry, usgs-65ea34d7d34ed433ba12f1ad, usgs-ema-low-sb-smc-wild-horses, utah, wild-burro, wild-horse, wyoming
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 in the Mariana Islands (ver. 1.1, February 2025)

This data release provides flooding extent polygons based on potential future sea-level rise (SLR) rise water levels for the coast of the most populated Mariana Islands of Guam and Saipan in the Common Wealth of Northern Mariana Islands (CNMI). Digital elevation models were used to predict SLR flooding 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 rise 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, guam, mariana-islands, mathematical-modeling, oceans, pacific-coastal-and-marine-science-center, pcmsc, physical-habitats-and-geomorphology, predictions, saipan-island, sea-level-change, spatial-analysis, storms, u-s-geological-survey, usgs, usgs-66187ef8d34e7eb9eb7d7c31, waves
Organization: Department of the Interior
Field data and Per- and Polyfluoroalkyl Substances (PFAS) analytical results for shallow groundwater samples from Pocasset, Hen Cove, Massachusetts, October 2022

On October 12, 2022, the U.S. Geological Survey (USGS) collected 13 shallow groundwater samples and two quality-control samples for analysis of Per- and Polyfluoroalkyl Substances (PFAS). Samples were collected in Hen Cove, Pocasset, Massachusetts by using USGS water-quality sampling protocols (Shoemaker and Tettenhorst, 2020). Groundwater environmental and quality control samples were analyzed at SGS (Orlando, FL) using EPA method 537.1m.
Samples were collected from temporary push point samplers (manufactured by MHE Inc.) installed 20 to 60 centimeters below the cove bottom sediment.
Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
REFERENCES:
Shoemaker, J., and Tettenhorst. D., 2020, Method 537.1, Determination of selected per- and polyflourinated alkyl substances in drinking water by solid phase extraction and liquid chromatography/tandem mass spectrometry (LC/MS/MS): U.S. Environmental Protection Agency, EPA 600/R-20-006, https://cfpub.epa.gov/si/si_public_record_report.cfm?Lab=NERL&amp;dirEntryId=343042.
U.S Geological Survey (USGS), 2015, National Field Manual for the Collection of Water-Quality Data.  
U.S. Geological Survey Techniques of Water-Resources Investigations, Book 9. https://pubs.usgs.gov/publication/twri09.

Tags: biota, cape-cod, groundwater, groundwater-and-surface-water-interaction, groundwater-quality, hen-cove, massachusetts, per-and-polyfluoroalkyl-substances, pfas, pocasset, usgs-65ea1be8d34ed433ba12f0df
Organization: Department of the Interior
UMRS Floodplain Inundation Depths - Illinois River Reach - La Grange

Floodplain inundation is believed to be the dominant physical driver of an array of ecosystem patterns and processes in the Upper Mississippi River System (UMRS). Here, we present a time series of daily surface water inundation depths (in feet) for floodplain surfaces in the UMRS. The time series data are for the months of April through September of every year since 1940. These months were chosen because it approximates the period during which most biophysical processes such as vegetation metabolism and biogeochemical cycling are likely to be strongest across the longitudinal gradient of the UMRS.  Data were derived from a geospatial model of surface water inundation developed for the UMRS and described in Van Appledorn et al. (2021; doi: 10.1002/rra.3628). We excluded areas permanently wetted (aquatic areas), surfaces in agricultural production, roads, and developed areas. The data are intended for use in geospatial analyses of UMRS floodplain ecosystem patterns and processes.

Tags: flood-plain, floods, freshwater-ecosystems, hydrology, river-systems, usgs-65ea018cd34ed433ba12f007
Organization: Department of the Interior
UMRS Floodplain Inundation Model - Illinois River - La Grange Pool

Floodplain inundation is believed to be the dominant physical driver of an array of ecosystem patterns and processes in the Upper Mississippi River System (UMRS). Here, we present the relative elevation of a slope-detrended floodplain terrain surface and river mile location used to map surface water depths derived from gaging locations along UMRS, as described in Van Appledorn et al. (2021; doi: 10.1002/rra.3628). We excluded areas permanently wetted (aquatic areas), surfaces in agricultural production, roads, and developed areas. The data are intended for use in geospatial analyses of UMRS floodplain ecosystem patterns and processes.

Tags: flood-plain, floods, freshwater-ecosystems, hydrology, river-systems, usgs-65e9f55ad34ed433ba12efd9
Organization: Department of the Interior
UMRS Floodplain Inundation Model - Illinois River - Alton Pool

Floodplain inundation is believed to be the dominant physical driver of an array of ecosystem patterns and processes in the Upper Mississippi River System (UMRS). Here, we present the relative elevation of a slope-detrended floodplain terrain surface and river mile location used to map surface water depths derived from gaging locations along UMRS, as described in Van Appledorn et al. (2021; doi: 10.1002/rra.3628). We excluded areas permanently wetted (aquatic areas), surfaces in agricultural production, roads, and developed areas. The data are intended for use in geospatial analyses of UMRS floodplain ecosystem patterns and processes.

Tags: flood-plain, floods, freshwater-ecosystems, hydrology, river-systems, usgs-65e9e1bcd34ed433ba12ef78
Organization: Department of the Interior
Water quality vertical profile data to support embayment monitoring in Long Island Sound, Mystic and Norwalk Embayments, Connecticut, 2021-2023: U.S. Geological Survey data release

This data release includes vertical water-quality-profile data from April 2021 to April 2023 at four stations in the Mystic River embayment and three stations in the Norwalk River embayment in Connecticut. These stations are part of a discrete and continuous water-quality monitoring project in embayments on Long Island Sound to support nutrient management activities in Connecticut. The data were collected by the U.S. Geological Survey in cooperation with the Connecticut Department of Energy and Environmental Protection and the U.S. Environmental Protection Agency Long Island Sound Study. The data were collected using multiparameter water-quality sondes and photosynthetic active radiation (PAR) sensors. The parameters collected were water temperature, specific conductance, dissolved oxygen, pH, turbidity, chlorophyll, water depth, PAR in water, and PAR in air. Vertical water quality profiles are collected in conjunction with discrete water quality sampling ideally within the identified channel of the embayment during various tidal cycles. Data collection began in April 2021 and occurred twice a month from May 2021 to October 2021, and then monthly from November 2021 to April 2023.

Tags: connecticut, discrete-water-quality, embayment-monitoring, inlandwaters, mystic-river, norwalk-river, surface-water-quality, usgs-65e9dc1dd34ed433ba12ef48, vertical-profiles
Organization: Department of the Interior
Assessment of Hydrologic Trends in Pennsylvania

The U.S. Geological Survey (USGS) in cooperation with the Pennsylvania Department of Conservation and Natural Resources (PA DCNR), Bureau of Geological Survey, provides time series trends results using the Mann Kendall family of analyses on select sites across Pennsylvania for baseflow, runoff, groundwater levels, and streamflow percentiles.

Tags: baseflow, environment, groundwater, recharge, trends, u-s-geological-survey, usgs-66181900d34e7eb9eb7d7a20
Organization: Department of the Interior
National and Global Petroleum Assessment—North Chukchi Basin Province: Assessment Unit Boundaries, Assessment Input Data, and Fact Sheet Data Tables

This data release contains the boundaries of assessment units, assessment input data, and resulting fact sheet data tables for the assessment of undiscovered oil and gas resources in the North Chukchi Basin. The assessment unit is the fundamental unit used in the National and Global Oil and Gas 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.  Machine-readable tables are provided that contain the input and results for each assessment unit summarized in the U.S. Geological Survey (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: arctic-ocean, assessment-unit, chukchi-sea, conventional-assessment-unit, east-siberian-sea, energy-resources, geology, geoscientificinformation, national-and-global-oil-and-gas-assessment, natural-gas, natural-gas-resources, noga2000, north-chukchi-basin, oil, oil-resources, oilgas, petroleum, resource-assessment, usgs-65e8c928d34ed433ba127ccb
Organization: Department of the Interior