AndreaBozzo/ceres-open-data-index huggingface dataset:
Data Release: Modeling coastal salinity regime for biological application

Salinity regimes in coastal ecosystems are highly dynamic and driven by complex geomorphic and hydrological processes. Estuarine biota are generally adapted to salinity fluctuation, but are vulnerable to salinity extremes. Characterizing coastal salinity regime for ecological studies therefore requires representing extremes of salinity ranges at various time scales relevant to ecology (e.g., daily, monthly, seasonally). This data release provides supporting data for the journal article titled, "Quantifying uncertainty in coastal salinity regime for biological application using quantile regression," by Yurek et al. (2022). A spatially-resolved model was developed that derives quantile distributions of salinity related to various landscape variables, such as tidal forcing, wind velocity and direction, and freshwater discharge into the Suwannee Sound estuary. The model also considers various time scales of freshwater streamflow, from daily to bi-weekly scales, which represent terrestrial watershed dynamics such as time-of-travel of overland flow from headwaters to the coast. This data release provides programming routines and supporting data for the model, including: (1) scripts used to run the model written in R programming language, (2) input data used to fit the model, and (3) model output predictions across the spatial extent of the Suwannee Sound estuary. The predictions of the model represent a method of quantifying uncertainty in predictions, and represent approximate ranges of salinity conditions. These predictions are intended for use in future ecological modeling studies and analyses of impacts of salinity uncertainty on estuarine biota. They are limited by the data set used here and are not intended to indicate exact levels for any given location or time.

Tags: biological-salinity-tolerance, biota, climate, coastal-salinity-regime, drought, lower-suwannee-national-wildlife-refuge, prediction, quantile-regression, streamflow, suwannee-sound, uncertainty, usgs-62e2f060d34e394b65364f96
Organization: Department of the Interior
Fire response effects, biocrust, and vascular plant abundance following wildfire near Boise, Idaho (October 2021)

Twenty quadrats within the burn perimeter of a September 2021 wildfire outside of Boise, Idaho were surveyed for the abundance of fire effects, biocrusts and vascular plants immediately post-fire. The fire was too small to be named. Char was measured as a proxy for fire intensity. Biocrusts were surveyed by morphogroup (crustose lichens, cup lichens, fruticose lichens, gelatinous lichens, short moss, tall moss) and vascular plants were surveyed by functional group (annual forbs, perennial grasses). Char was measured ocularly and biocrust/plant abundance was measured via point-vertex intercept at 40 points per quadrat.

Tags: biota, botany, community-ecology, environment, fires, great-basin, idaho, lichens, mosses, usgs-62e301edd34e394b65364fbb, vascular-plants
Organization: Department of the Interior
USGS National and Global Oil and Gas Assessment Project—Mesozoic Petroleum Systems of Central European Basin System: 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 Mesozoic petroleum systems of the Central European Basin System. 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 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, central-tail-end-graben-conventional-oil-and-gas, conventional-assessment-unit, east-shetland-platform-conventional-oil, energy-resources, faeroes-shetland-orkney-basin-conventional-oil-and-gas, geology, geoscientificinformation, germany, lower-saxony-basin-mesozoic-conventional-oil-and-gas, moray-firth-basin-witch-ground-graben-conventional-oil-and-gas, national-assessment-of-oil-and-gas, natural-gas, natural-gas-resources, netherlands, noga2000, oil, oil-resources, oilgas, petroleum, resource-assessment, united-kingdom, usgs-62e413fcd34e394b65365c6b, utsira-high-horda-platform-conventional-oil-and-gas, viking-graben-east-shetland-basin-conventional-oil-and-gas, west-netherlands-basin-mesozoic-conventional-oil-and-gas
Organization: Department of the Interior
USGS National and Global Oil and Gas Assessment Project—Paleozoic Petroleum Systems of Central European Basin System: Assessment Unit Boundaries, Assessment Input Data, and Fact Sheet Data Tables

This data release contains the boundaries of assessment units, assessment input data tables and resulting fact sheet data tables for the assessment of undiscovered oil and gas resources in the Paleozoic petroleum systems of the Central European Basin System.  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.  Machine-readable tables are 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: anglo-dutch-basin-conventional-gas, assessment-unit, belgium, conventional-assessment-unit, denmark, energy-resources, geology, geoscientificinformation, germany, mid-north-sea-high-conventional-gas, national-assessment-of-oil-and-gas, natural-gas, natural-gas-resources, netherlands, noga2000, northeast-german-basin-conventional-gas, northeast-german-basin-permian-conventional-oil-and-gas, northwest-german-basin-conventional-gas, norwegian-danish-basin-conventional-oil-and-gas, oil, oil-resources, oilgas, petroleum, poland, polish-trough-conventional-oil-and-gas, resource-assessment, sweden, united-kingdom, usgs-62e414eed34e394b65365c73
Organization: Department of the Interior
USGS National and Global Oil and Gas Assessment Project—Lower Saxony Basin: 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 gas resources in the Lower Saxony Basin, Germany. The Assessment Unit is the fundamental unit used in the National 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 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, conventional-assessment-unit, energy-resources, geology, geoscientificinformation, germany, gifhorn-trough-posidonia-shale-oil, lower-saxony-basin-posidonia-shale-gas, lower-saxony-basin-posidonia-shale-oil, lower-saxony-basin-wealden-shale-gas, lower-saxony-basin-wealden-shale-oil, national-assessment-of-oil-and-gas, natural-gas, natural-gas-resources, netherlands, noga2000, oil, oil-resources, oilgas, petroleum, resource-assessment, usgs-62e4157cd34e394b65365c78
Organization: Department of the Interior
Digital Surface Models (DSM) from UAS surveys of the beaches at Fort Stevens State Park, OR, and Cape Disappointment State Park, WA, July 2021

This portion of the data release presents digital surface models (DSM) of the ocean beach at Fort Stevens State Park, OR, and Benson Beach at Cape Disappointment State Park, WA. The DSMs have resolutions of 10 centimeters per pixel and were derived from structure-from-motion (SfM) processing of aerial imagery collected with unoccupied aerial systems (UAS) during low tides on 22 and 23 July 2021. Unlike a digital elevation model (DEM), the DSMs represent the elevation of the highest object within the bounds of a cell. Vegetation, buildings, and other objects have not been removed from the data. The raw imagery used to create the DSMs was acquired with a UAS fitted with a Ricoh GR II digital camera featuring a global shutter. The UAS was flown on pre-programmed autonomous flight lines spaced to provide approximately 70 percent overlap between images from adjacent lines. The camera was triggered at 1 Hz using a built-in intervalometer. The UAS was flown at an approximate altitude of 120 meters above ground level (AGL), resulting in a nominal ground-sample-distance (GSD) of 3.2 centimeters per pixel. The raw imagery was geotagged using positions from the UAS onboard single-frequency autonomous GPS. Survey control was established using temporary ground control points (GCPs) consisting of a combination of small square tarps with black-and-white cross patterns and temporary chalk marks placed on the ground. The GCP positions were measured using dual-frequency post-processed kinematic (PPK) GPS with corrections referenced to a static base station operating nearby. The images and GCP positions were used for structure-from-motion (SfM) processing to create topographic point clouds, high-resolution orthomosaic images, and DSMs. The DSMs, which are presented in this portion of the data release have been formatted as cloud optimized GeoTIFFs with internal overviews and masks to facilitate cloud-based queries and display.

Tags: aerial-and-satellite-photography, aerial-photography, altimetry, bathymetry-and-elevation, benson-beach, cape-disappointment, chmrp, clatsop-county, clatsop-spit, coastal-and-marine-hazards-and-resources-program, columbia-river, elevation, fort-stevens, geomorphology, geoscientificinformation, geospatial-datasets, image-mosaics, north-head, orthophotography, pacific-coastal-and-marine-science-center, pacific-county, pacific-ocean, pcmsc, photography, remote-sensing, state-of-oregon, state-of-washington, structure-from-motion, topographic-maps, topography, u-s-geological-survey, uas, unmanned-aerial-system, usgs, usgs-62e470b4d34e749ac04cb783
Organization: Department of the Interior
Orthomosaic images from UAS surveys of the beaches at Fort Stevens State Park, OR, and Cape Disappointment State Park, WA, July 2021

This portion of the data release presents high-resolution orthomosaic images of the ocean beach at Fort Stevens State Park, OR, and Benson Beach at Cape Disappointment State Park, WA. The orthomosaics have resolutions of 5 centimeters per pixel and were derived from structure-from-motion (SfM) processing of aerial imagery collected with unoccupied aerial systems (UAS) during low tide surveys on 22 and 23 July 2021. The raw imagery used to create the orthomosaics was acquired with a UAS fitted with a Ricoh GR II digital camera featuring a global shutter. The UAS was flown on pre-programmed autonomous flight lines spaced to provide approximately 70 percent overlap between images from adjacent lines. The camera was triggered at 1 Hz using a built-in intervalometer. The UAS was flown at an approximate altitude of 120 meters above ground level (AGL), resulting in a nominal ground-sample-distance (GSD) of 3.2 centimeters per pixel. The raw imagery was geotagged using positions from the UAS onboard single-frequency autonomous GPS. Survey control was established using temporary ground control points (GCPs) consisting of a combination of small square tarps with black-and-white cross patterns and temporary chalk marks placed on the ground. The GCP positions were measured using dual-frequency post-processed kinematic (PPK) GPS with corrections referenced to a static base station operating nearby. The images and GCP positions were used for structure-from-motion (SfM) processing to create topographic point clouds, high-resolution orthomosaic images, and DSMs. The orthomosaic images have been provided in a three-band RGB format, with 8-bit unsigned integer values compressed using high-quality JPEG compression and are formatted as cloud optimized GeoTIFFs with internal overviews and masks to facilitate cloud-based queries and display.

Tags: aerial-and-satellite-photography, aerial-photography, altimetry, bathymetry-and-elevation, benson-beach, cape-disappointment, chmrp, clatsop-county, clatsop-spit, coastal-and-marine-hazards-and-resources-program, columbia-river, elevation, fort-stevens, geomorphology, geoscientificinformation, geospatial-datasets, image-mosaics, north-head, orthophotography, pacific-coastal-and-marine-science-center, pacific-county, pacific-ocean, pcmsc, photography, remote-sensing, state-of-oregon, state-of-washington, structure-from-motion, topographic-maps, topography, u-s-geological-survey, uas, unmanned-aerial-system, usgs, usgs-62e47102d34e749ac04cb787
Organization: Department of the Interior
40Ar/39Ar isotopic data and electron microprobe data from muscovite in the Sukari gold deposit, Egypt

This data release includes electron microprobe and 40Ar/39Ar collected at the U.S. Geological Survey for samples from the Sukari gold deposit in the Eastern Desert of Egypt. Rock samples were collected by Basem Zoheir--Benha University/University of Kiel. Muscovite from a polished thick section of sericitized wall rock was analyzed by electron probe microanalysis at the U.S. Geological Survey, Reston Electron Microbeam Laboratory. An aliquot of muscovite from this sample was microsampled from the thick section and analyzed by argon geochronology at the U.S. Geological Survey Bascom ARgon Dating (BARD) Laboratory in Reston, Virginia. The 40Ar/39Ar data constrain the timing of gold mineralization in the Sukari gold deposit.

Tags: 40ar-39ar, bascom-argon-dating-laboratory, economic-geology, egypt, electron-microprobe, fbgc, geochronology, geoscientificinformation, gold, orogenic-gold, sukari, u-s-geological-survey, usgs, usgs-62e73601d34e749ac04cb8bb
Organization: Department of the Interior
Data and code to support MOVE.1 regression equations for streamflow at partial-record streamgaging stations at Acadia National Park, Maine

This data release contains instantaneous streamflow measurements made at 14 partial-record streamgaging stations in Acadia National Park from May through September 2006 to 2020.  It includes R code to support Maintenance of Variance Extension Type 1 (MOVE.1) record-extension regression equations for 10 of those partial-record stations that can be used to extend the record of the partial-record station during base-flow conditions using an index station, U.S. Geological Survey (USGS) continuous-record streamgage Otter Creek near Bar Habor, Maine (USGS 01022840). An additional four partial-record stations did not correlate well with any continuous-record station tested.  The R code was used to develop MOVE.1 record-extension equations and compute mean and median monthly streamflows at 10 of the 14 partial-record stations   Partial-record stations were established in 2006 as part of the Northeast Temperate Network (NETN) monitoring program.  Tables that accompany a USGS Scientific Investigations Report (Lombard, 2023) that documents the methods and results of the MOVE.1 record extensions are included in this data release and include a summary of continuous-record stations tested for use as index stations, partial-record stations, MOVE.1 equations, and monthly means and medians at the partial-record stations.

Tags: acadia-national-park, inlandwaters, lowflow, maine, move-1, north-america, northeast-temperate-network, partial-record-streamgaging-station, record-extension, record-extensions, united-states, usgs-62e7a2dfd34e749ac04cb8c0
Organization: Department of the Interior
Little Rock Reservoir, California, 2022 bathymetric survey and stage-storage computations

This bathymetric dataset provides an update to the stage-storage relation for Little Rock Reservoir located in the Angeles National Forest, California. Bathymetric data was collected using a multibeam echo sounder to provide near-complete coverage and was merged with U.S. Geological Survey 3D Elevation  Project lidar to compute a digital elevation model (DEM) of the reservoir and surrounding watershed. The DEM was used to computed storage and surface area for a range of stage elevations. Results show that the mean cross-spillway elevation was 3273 feet  above the North American Vertical Datum 1988 (NAVD88) and the mean dam crest elevation was 3277 feet (NAVD88). At the spillway elevation the storage was 3335.8 acre-feet with a surface area of 101.7 acres. At the crest elevation the storage was 3765.6 acre-feet with a surface area of 112.7 acres.

Tags: angeles-national-forest, bathymetric-survey, california, elevation, inlandwaters, little-rock-reservoir, sedimentation, stage-storage, usgs-62e8a8c9d34e749ac04cbd66
Organization: Department of the Interior
Burned Area Reflectance Classification Thematic Burn Severity Mosaic for CONUS in 2018

These data products are preliminary burn severity assessments derived from data obtained from suitable imagery (including Landsat TM, Landsat ETM+, Landsat OLI, Sentinel 2A, and Sentinel 2B). The pre-fire and post-fire subsets included were used to create a differenced Normalized Burn Ratio (dNBR) image. The dNBR image attempts to portray the variation of burn severity within a fire. The severity ratings are influenced by the effects to the canopy.  The severity rating is based upon a composite of the severity to the understory (grass, shrub layers), midstory trees and overstory trees. Because there is often a strong correlation between canopy consumption and soil effects, this algorithm works in many cases for Burned Area Emergency Response (BAER) teams whose objective is a soil burn severity assessment. It is not, however, appropriate in all ecosystems or fires. It is expected that BAER teams will adjust the thresholds to match field observations to produce a soil burn severity. This map layer is a thematic raster image of burn severity classes for all inventoried fires occurring in CONUS during calendar year 2018. Fires omitted from this mapped inventory are those where suitable satellite imagery was not available, or fires which were not discernable from available imagery.

Tags: baer, burn-severity, burned-area, burned-area-emergency-response, differenced-normalized-burn-ratio, fire-location, imagerybasemapsearthcover, landsat, location, normalized-burn-ratio, sentinel, united-states, us, usgs-62e7cc40d34e749ac04cb8e1, wildfire, wildland-fire
Organization: Department of the Interior
Burned Area Reflectance Classification Thematic Burn Severity Mosaic for CONUS in 2019

These data products are preliminary burn severity assessments derived from data obtained from suitable imagery (including Landsat TM, Landsat ETM+, Landsat OLI, Sentinel 2A, and Sentinel 2B). The pre-fire and post-fire subsets included were used to create a differenced Normalized Burn Ratio (dNBR) image. The dNBR image attempts to portray the variation of burn severity within a fire. The severity ratings are influenced by the effects to the canopy.  The severity rating is based upon a composite of the severity to the understory (grass, shrub layers), midstory trees and overstory trees. Because there is often a strong correlation between canopy consumption and soil effects, this algorithm works in many cases for Burned Area Emergency Response (BAER) teams whose objective is a soil burn severity assessment. It is not, however, appropriate in all ecosystems or fires. It is expected that BAER teams will adjust the thresholds to match field observations to produce a soil burn severity. This map layer is a thematic raster image of burn severity classes for all inventoried fires occurring in CONUS during calendar year 2019. Fires omitted from this mapped inventory are those where suitable satellite imagery was not available, or fires which were not discernable from available imagery.

Tags: baer, burn-severity, burned-area, burned-area-emergency-response, differenced-normalized-burn-ratio, fire-location, imagerybasemapsearthcover, landsat, location, normalized-burn-ratio, sentinel, united-states, us, usgs-62e7cc7fd34e749ac04cb8e4, wildfire, wildland-fire
Organization: Department of the Interior