AndreaBozzo/ceres-open-data-index huggingface dataset:
USGS National and Global Oil and Gas Assessment Project—Black Sea Area: 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 Black Sea area. 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: andrusovarkangelsky-ridge, assessment-unit, conventional-assessment-unit, eastern-black-sea-basin, energy-resources, geology, georgia, geoscientificinformation, karkinit-trough, national-and-global-oil-and-gas-assessment, natural-gas, natural-gas-resources, noga2000, oil, oil-resources, oilgas, petroleum, resource-assessment, romania, shatsky-ridge, turkey, ukraine, usgs-663e2eadd34eaf9729f7ad53, western-black-sea-basin
Organization: Department of the Interior
UMRS Floodplain Inundation Depth Differences - Pool 26

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). A geospatial model of floodplain inundation described in Van Appledorn et al. (2021; doi: 10.1002/rra.3628) generates depth time series data for the UMRS floodplain extent. These depth time series data are typically generated from daily water surface elevations from three gaging locations along the mainstem of the Upper Mississippi River in Pool 26. However, due to missing data at the mid-pool gage location at Dixon Landing, this gage was not included in the analysis for 2009 - 2020. To understand the effect of excluding data from the mid-pool gage on modeled depth time series data, we generated depth time series data from 1990 - 1994 both with and without the gage, and compared the differences in simulated depths at select locations in Pool 26. The p26_depthdiff.csv file comprises the observed differences in depth under the two scenarios. It can be used to apply a post-hoc correction term to any depth time series data generated without the mid-pool gage, to understand the UMRS Floodplain Inundation model's sensitivity to mid-pool surface water elevation fluctuations, and other uses.

Tags: flood-plain, floods, freshwater-ecosystems, hydrology, river-systems, usgs-663e22fbd34eaf9729f7ad23
Organization: Department of the Interior
UMRS Floodplain Inundation Depths (with gage drop) - Pool 26

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 for select years 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 generated without water surface elevations from the mid-pool gaging location at Dixon Landing due to missing data. 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-663e22bbd34eaf9729f7ad21
Organization: Department of the Interior
UMRS Floodplain Inundation Depths - Pool 26

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-663e201ed34eaf9729f7ad0e
Organization: Department of the Interior
UMRS Floodplain Inundation Depth Differences - Pool 13

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). A geospatial model of floodplain inundation described in Van Appledorn et al. (2021; doi: 10.1002/rra.3628) generates depth time series data for the UMRS floodplain extent. These depth time series data are typically generated from daily water surface elevations from three gaging locations along the mainstem of the Upper Mississippi River in Pool 13. However, due to missing data at the mid-pool gage location at Sabula, IA, this gage was not included in the analysis for 2009 - 2020. To understand the effect of excluding data from the mid-pool gage on modeled depth time series data, we generated depth time series data from 1990 - 1994 both with and without the gage, and compared the differences in simulated depths at select locations in Pool 13. The p13_depthdiff.csv file comprises the observed differences in depth under the two scenarios. It can be used to apply a post-hoc correction term to any depth time series data generated without the mid-pool gage, to understand the UMRS Floodplain Inundation model's sensitivity to mid-pool surface water elevation fluctuations, and other uses.

Tags: flood-plain, floods, freshwater-ecosystems, hydrology, river-systems, usgs-663e1c25d34eaf9729f7ad05
Organization: Department of the Interior
Detection of the Aquatic Invasive Species (AIS) Elodea canadensis and E. nuttallii Using Environmental DNA (eDNA), Alaska

This data set is comprised of one table with sampling information and National Center for Biotechnology Information (NCBI) BioProject accession numbers for sequence information of this amplicon-based study targeting Elodea canadensis and E. nuttallii in freshwater systems of Alaska from environmental samples. Highly conserved primers which can differentiate these species of interest were developed for four portions of Elodea mtDNA genes (ITS1-5.8S, atpB-rbcL, and two variations of trnL-trnF). The reference sequences and conserved primer sets to identify species present were developed using publicly available data from NCBI GenBank (https://www.ncbi.nlm.nih.gov/genbank/).

Tags: 5-8s, aquatic-ecosystems, aquatic-invasive-species, atpb-rbcl, biota, coastal-ecosystems, dna-primers, dna-sequencing, edna, elodea, environment, environmental-dna, genetic-markers, genetics, marine-environment-monitoring, metabarcoding, mitochondrial-dna, polymerase-chain-reaction, trnl-trnf, tundra-ecosystems, usgs-663d2da7d34eaf9729f78cc9, weeds-noxious-plants-or-invasive-plants, wetland-ecosystems, wildlife
Organization: Department of the Interior
Beach foreshore slope for the East Coast of the United States

This data release contains foreshore slopes for primarily open-ocean sandy beaches along the East Coast of the United States (Maine through Florida). The slopes were calculated while extracting shoreline position from lidar point cloud data collected between 1997 and 2018. The shoreline positions have been previously published, but the slopes have not. An along-shore reference baseline was defined, and then 20-meter spaced cross-shore beach transects were created perpendicular to the baseline. All data points within 1 meter (along-shore) of each transect were associated with that transect. For each transect, the points on the foreshore were identified, and a linear regression was fit through the foreshore points. Beach slope was defined as the slope of the regression. The regression was evaluated at the elevation of mean high water (MHW) to yield the cross-shore location of the shoreline. In areas where more than one lidar survey is available, the slopes from each survey are provided. While most of the slopes are for sandy beaches, there are some slope data from rocky headlands and other steeper beaches. The slope data files (slopeData_EastCoast.csv and slopeData_EastCoast.shp) contain beach slope, the location at which the beach slope data was calculated (the shoreline position), and the estimated uncertainty of the shoreline position. The reference line data files (referenceLine_EastCoast.csv and referenceLine_EastCoast.shp) contain information about the reference baseline, the cross-shore transects, and the MHW values used to estimate the shoreline location. Both file types *.csv (ascii files containing comma separated values) and *.shp (binary files supported by Esri known as shapefiles) contain the same information.  Both file types are provided as a convenience to the user.

Tags: atlantic-coast, beach-slope, coastal-and-marine-hazards-and-resources-program, coastal-processes, delaware, east-coast, environment, florida, foreshore, georgia, geoscientificinformation, geospatial-datasets, maine, maryland, massachusetts, mean-high-water, mhw, new-hampshire, new-jersey, new-york, north-carolina, oceans, rhode-island, shoreline, south-carolina, u-s-geological-survey, united-states, usgs, usgs-663d18a6d34e77890839e46f, virginia, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Undersized Fire Mapping Program Thematic Burn Severity Mosaic for CONUS in 2020

This map layer is a thematic raster image of MTBS burn severity classes for all inventoried fires occurring in CONUS during calendar year 2020 that do not meet standard MTBS size criteria. These data are published to augment the data that are available from the MTBS program. This product was produced using the methods of the Monitoring Trends in Burn Severity Program (MTBS), however these fires do not meet the size criteria for a standard MTBS assessment. The MTBS Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period 1984 and beyond. MTBS typically maps fires using an initial assessment (immediately after the fire) or an extended assessment (peak of green the season after the fire) for low-biomass and high-biomass fires respectively. Refer to MTBS.gov for more information on MTBS methods and criteria. Standard MTBS mappings must meet the size criteria of at least 500 acres for the eastern states and territories and 1,000 acres for the western states and territories to be eligible for mapping. Undersized MTBS fires are those fires that do not meet the standard MTBS size criteria but are otherwise mapped using standard MTBS methodologies.

Tags: ak, alaska, burn-severity, burned-area, continental-u-s, conus, differenced-normalized-burn-ratio, fire-location, fire-occurrence, hawaii, hi, imagerybasemapsearthcover, landsat, location, normalized-burn-ratio, pr, prescribed-fire, puerto-rico, sentinel, united-states, us, usgs-66c63fe6d34e0338828aad2b, wildfire, wildland-fire
Organization: Department of the Interior
UMRS Floodplain Inundation Depths - Pool 13

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-663cf3ced34e77890839e20e
Organization: Department of the Interior
Wintering whooping crane locations near the Texas coast

The Aransas-Wood Buffalo population of whooping cranes migrates through the U.S. Great Plains twice annually, moving between wintering areas along coastal Texas and summering areas in and around Wood Buffalo National Park, Canada.  These data support development of resource utilization functions that were used to predict wintering use of whooping cranes outside of their historic coastal wintering areas.

Tags: biota, birds, environment, migration-organisms, migratory-birds, plant-and-animal-tagging, usgs-663ce82ed34e77890839e1db
Organization: Department of the Interior
Vermont Fish and Wildlife Department Volume 1 (2014 - 2022)

This volume's release consists of 41933 media files captured by autonomous wildlife monitoring devices under the project, Vermont Fish and Wildlife Department.  The attached files listed below include several CSV files that provide information about the data release.   The file, "media.csv" provides the metadata about the media, such as filename and date/time of capture.   The actual media files are housed within folders under the volume's "child items" as compressed files.   A critical CSV file is "dictionary.csv", which describes  each  CSV file, including field names, data types, descriptions, and the relationship of each field to fields in other CSV files.    Some of the media files may have been "tagged" or "annotated" by either humans or by machine learning models,  identifying wildlife targets within the media.  If so, this information is stored in  "annotations.csv" and "modeloutputs.csv", respectively.   To protect privacy, all personally identifiable information (PII) have been removed, locations have been "blurred" by bounding boxes, and media featuring sensitive taxa or humans have been omitted.   To enhance data reuse, the sbRehydrate() function in the AMMonitor R package will download files and re-create the original AMMonitor project (database + media files).  See source code at https://code.usgs.gov/vtcfwru/ammonitor.

Tags: american-marten, american-robin, animal-tracking, barred-owl, beaver, biota, black-bear, black-capped-chickadee, blue-jay, bobcat, broad-winged-hawk, camera-trap, conservation, cottontail-rabbit, coyote, dark-eyed-junco, ecosystem-monitoring, environment, field-inventory-and-monitoring, fisher, forest, gray-fox, gray-squirrel, green-mountain-national-forest, green-mountains, management, mink, moose, pileated-woodpecker, porcupine, raccoon, red-fox, red-squirrel, ruffed-grouse, sharp-shinned-hawk, snowshoe-hare, state-of-vermont, time-series-datasets, usgs-663ce56cd34e77890839e1c8, vertebrates, white-tailed-deer, wild-turkey, wildlife, wildlife-biology
Organization: Department of the Interior
USDA Green Mountain National Forest Volume 1 (2016 - 2022)

This volume's release consists of 84049 media files captured by autonomous wildlife monitoring devices under the project, USDA Green Mountain National Forest.  The attached files listed below include several CSV files that provide information about the data release.   The file, "media.csv" provides the metadata about the media, such as filename and date/time of capture.   The actual media files are housed within folders under the volume's "child items" as compressed files.   A critical CSV file is "dictionary.csv", which describes  each  CSV file, including field names, data types, descriptions, and the relationship of each field to fields in other CSV files.    Some of the media files may have been "tagged" or "annotated" by either humans or by machine learning models,  identifying wildlife targets within the media.  If so, this information is stored in  "annotations.csv" and "modeloutputs.csv", respectively.   To protect privacy, all personally identifiable information (PII) have been removed, locations have been "blurred" by bounding boxes, and media featuring sensitive taxa or humans have been omitted.   To enhance data reuse, the sbRehydrate() function in the AMMonitor R package will download files and re-create the original AMMonitor project (database + media files).  See source code at https://code.usgs.gov/vtcfwru/ammonitor.

Tags: american-marten, american-robin, animal-tracking, barred-owl, beaver, biota, black-bear, black-capped-chickadee, blue-jay, bobcat, broad-winged-hawk, camera-trap, conservation, cottontail-rabbit, coyote, dark-eyed-junco, ecosystem-monitoring, environment, field-inventory-and-monitoring, fisher, forest, gray-fox, gray-squirrel, green-mountain-national-forest, green-mountains, management, mink, moose, pileated-woodpecker, porcupine, raccoon, red-fox, red-squirrel, ruffed-grouse, sharp-shinned-hawk, snowshoe-hare, state-of-vermont, time-series-datasets, usgs-663cdf96d34e77890839e178, vertebrates, white-tailed-deer, wild-turkey, wildlife, wildlife-biology
Organization: Department of the Interior
Dartmouth College Woodlands Wildlife Monitoring Project Volume 1 (2014 - 2024)

This volume's release consists of 46576 media files captured by autonomous wildlife monitoring devices under the project, Dartmouth College Woodlands Wildlife Monitoring Project.  The attached files listed below include several CSV files that provide information about the data release.   The file, "media.csv" provides the metadata about the media, such as filename and date/time of capture.   The actual media files are housed within folders under the volume's "child items" as compressed files.   A critical CSV file is "dictionary.csv", which describes  each  CSV file, including field names, data types, descriptions, and the relationship of each field to fields in other CSV files.    Some of the media files may have been "tagged" or "annotated" by either humans or by machine learning models,  identifying wildlife targets within the media.  If so, this information is stored in  "annotations.csv" and "modeloutputs.csv", respectively.   To protect privacy, all personally identifiable information (PII) have been removed, locations have been "blurred" by bounding boxes, and media featuring sensitive taxa or humans have been omitted.   To enhance data reuse, the sbRehydrate() function in the AMMonitor R package will download files and re-create the original AMMonitor project (database + media files).  See source code at https://code.usgs.gov/vtcfwru/ammonitor.

Tags: alces-americanus-americanus, animal-tracking, biota, bonasa-umbellus, canis-latrans, canis-lupus, coos-county, ecological-forestry, ecosystem-monitoring, environment, erethizon-dorsatus, field-inventory-and-monitoring, forest-management, lepus-americanus, lynx-canadensis, lynx-rufus, martes-americana, mustela-frenata, new-hampshire, odocoileus-virginianus, pekania-pennanti, poecile-atricapillus, procyon-lotor, remote-sensing, sciurus-carolinensis, small-mammals, tamias-striatus, tamiasciurus-hudsonicus, temperate-forest, time-series-datasets, turdus-migratorius, ursus-americanus, usgs-663cde7ad34e77890839e157, vertebrates, vulpes-vulpes, wildlife, wildlife-biology, wildlife-monitoring
Organization: Department of the Interior
Basin characteristics in support of generalized least-squares (GLS) regression for 136 USGS streamgages in urban areas in Tennessee and parts of Alabama, Georgia, Mississippi, North Carolina, and South Carolina

This data release contains a dataset of geospatial and tabular data used in support of a flood-frequency study of urban streams in Tennessee and parts of Alabama, Georgia, Mississippi, North Carolina, and South Carolina (Wagner and Ladd, 2024b). The dataset includes data used in the development of generalized least-squares (GLS) regression equations for predicting streamflows at ungaged locations in the study area corresponding to 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities. Included in the dataset are shapefiles of the streamgage basins and outlets used in the study packaged in a zip file (TNurbanFFreq_Basins and TNurbanFFreq_Outlets feature classes in TNurbanFFreq_Basins_and_Outlets.zip), three rasters in tiff format developed for calculation of basin characteristics packaged in a zip file (nlcd2011_developed_percent.tif, piedmont_eco_lvl3_percent.tif, and ridge_and_valley_eco_lvl3_percent.tif in Basin_Characteristic_Rasters.zip), and a table in csv format listing the basin characteristics that were tested as explanatory variables for development of the regression equations (BasinCharsTested.csv). 
The data contained in the shapefiles of basin polygons and outlet locations for streamgages used in the flood-frequency analysis were derived from various sources (Falcone, 2011; U.S. Environmental Protection Agency and U.S. Geological Survey, 2012; U.S. Geological Survey, 2019) further described in the Entity and Attribute section information in this metadata document related to the TNurbanFFreq_Basins.shp shapefile. The table from this data release listing the basin characteristics tested as explanatory variables predominately includes characteristics that were not used in the final GLS regression equations. The variables used in the final equations were drainage area, the percentage of developed land from the 2011 National Land Cover Database (NLCD; Homer and others, 2015; Dewitz and U.S. Geological Survey, 2021), and the percentages of land within the Piedmont level 3 ecoregion and the Ridge and Valley level 3 ecoregion (U.S. Environmental Protection Agency, 2013). The 3 rasters included in this data release represent the percentage of developed land derived from the 2011 NLCD and the percentages of land within the Piedmont level 3 ecoregion and the Ridge and Valley level 3 ecoregion.

Tags: alabama, ecoregion, flood-frequency, floods, georgia, land-surface-characteristics, land-use-and-land-cover, mississippi, north-carolina, physiography, south-carolina, southeastern-u-s, streamflow, streamgage, tennessee, usgs-66c64088d34e0338828aad91
Organization: Department of the Interior