AndreaBozzo/ceres-open-data-index huggingface dataset:
Magnetotelluric data from Missouri, Arkansas, Tennessee, Illinois, and Kentucky, 2016-2019, station sfm002

This dataset consists of 127 wideband and 21 long-period magnetotelluric (MT) stations collected from 2016-2019 across parts of Missouri, Arkansas, Tennessee, Illinois, and Kentucky. The U.S. Geological Survey (USGS) acquired these data as part of regional investigations into the geologic and tectonic framework of the area and to support mineral resource and geologic hazard investigations. These data have been used to generate a 3D regional conductivity model of the area. Files included in this publication include measured electric- and magnetic-field time series as well as estimated impedance and vertical-magnetic field transfer functions. The data included here are for MT station sfm002 in the Reelfoot Rift survey region. A shapefile with station information for all stations in this dataset is available at https://doi.org/10.5066/P9F7HFH7.

Tags: apparent-resistivity, arkansas, conductivity, electromagnetic-surveying, exploration, geologic-structure, geology-geophysics-and-geochemistry-science-center, geophysics, geoscientificinformation, gggsc, illinois, impedance, kentucky, magnetic-field-earth, magnetotelluric-surveying, magnetotellurics, mineral-resources, mineral-resources-program, mississippi-embayment, missouri, mrp, mt, ozark-plateau, phanerozoic, phase, precambrian, quaternary, reelfoot-rift, saint-francois-mountains, tectonics, tennessee, time-series, tipper, usgs-5f88db6382cef33f43efb258
Organization: Department of the Interior
Magnetotelluric data from Missouri, Arkansas, Tennessee, Illinois, and Kentucky, 2016-2019, station sfm001

This dataset consists of 127 wideband and 21 long-period magnetotelluric (MT) stations collected from 2016-2019 across parts of Missouri, Arkansas, Tennessee, Illinois, and Kentucky. The U.S. Geological Survey (USGS) acquired these data as part of regional investigations into the geologic and tectonic framework of the area and to support mineral resource and geologic hazard investigations. These data have been used to generate a 3D regional conductivity model of the area. Files included in this publication include measured electric- and magnetic-field time series as well as estimated impedance and vertical-magnetic field transfer functions. The data included here are for MT station sfm001 in the Reelfoot Rift survey region. A shapefile with station information for all stations in this dataset is available at https://doi.org/10.5066/P9F7HFH7.

Tags: apparent-resistivity, arkansas, conductivity, electromagnetic-surveying, exploration, geologic-structure, geology-geophysics-and-geochemistry-science-center, geophysics, geoscientificinformation, gggsc, illinois, impedance, kentucky, magnetic-field-earth, magnetotelluric-surveying, magnetotellurics, mineral-resources, mineral-resources-program, mississippi-embayment, missouri, mrp, mt, ozark-plateau, phanerozoic, phase, precambrian, quaternary, reelfoot-rift, saint-francois-mountains, tectonics, tennessee, time-series, tipper, usgs-5f88d57782cef33f43efb24f
Organization: Department of the Interior
USGS National and Global Oil and Gas Assessment Project - San Juan Basin Province, Fruitland Total Petroleum System Assessment Units and Input Data Forms

This data release contains the boundaries of assessment units and input data for the assessment of gas resources in the Fruitland Total Petroleum System of New Mexico and Colorado. 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.  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, basin-fruitland-coalbed-gas, continuous-assessment-unit, energy-resources, geology, geoscientificinformation, national-assessment-of-oil-and-gas, natural-gas, natural-gas-resources, noga2000, northern-fruitland-coalbed-gas, oil, oil-resources, oilgas, petroleum, pictured-cliffs-continuous-gas, resource-assessment, state-of-colorado, state-of-new-mexico, tertiary-conventional-gas, unconventional-assessment-unit, united-states-of-america, usgs-5f88b19382cebb8c13da3b26
Organization: Department of the Interior
USGS National and Global Oil and Gas Assessment Project - San Juan Basin Province, Mancos-Menefee Composite Total Petroleum System and underlying Todilto Total Petroleum System Assessment Units and Input Data Forms

This data release contains the boundaries of assessment units and input data for the assessment of Oil and Gas Resources in the Mancos-Menefee Composite and Underlying Todilto Total Petroleum Systems of New Mexico and Colorado. 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.  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, dakota-lower-mancos-conventional-oil-and-gas, energy-resources, entrada-sandstone-conventional-oil, gallup-sandstone-conventional-oil, geology, geoscientificinformation, menefee-coalbed-gas, mesaverde-updip-conventional-oil, national-assessment-of-oil-and-gas, natural-gas, natural-gas-resources, noga2000, northeastern-dakota-lower-mancos-continuous-gas, northeastern-mesaverde-continuous-gas, oil, oil-resources, oilgas, petroleum, resource-assessment, southwestern-dakota-lower-mancos-continuous-gas, southwestern-mesaverde-continuous-gas, state-of-colorado, state-of-new-mexico, unconventional-assessment-unit, united-states-of-america, upper-mancos-continuous-gas, upper-mancos-conventional-oil, usgs-5f88b0e182cebb8c13da3b20
Organization: Department of the Interior
USGS National and Global Oil and Gas Assessment Project - San Juan Basin Province, Lewis Shale Total Petroleum System Assessment Units and Input Data Forms

This data release contains the boundaries of assessment units and input data for the assessment of gas resources in the Lewis Shale Total Petroleum System of New Mexico and Colorado. 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.  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, cliff-house-fairway-continuous-gas, continuous-assessment-unit, energy-resources, geology, geoscientificinformation, lewis-cliff-house-continuous-gas, lewis-shale-continuous-gas, national-assessment-of-oil-and-gas, natural-gas, natural-gas-resources, noga2000, oil, oil-resources, oilgas, petroleum, resource-assessment, state-of-colorado, state-of-new-mexico, unconventional-assessment-unit, united-states-of-america, usgs-5f88b01b82cebb8c13da3b18
Organization: Department of the Interior
2022-334-FA_sol: Digital Chirp Subbottom Profile Start of Line Data Collected During USGS Field Activity Number 2022-334-FA Offshore of Boca Chica Key, Florida, November 2022

From November 8-13, 2022, the U.S. Geological Survey (USGS) conducted geophysical surveys to investigate the geologic controls on barrier island evolution and sediment transport offshore of Boca Chica Key, Florida (FL). Geophysical data were collected as part of the Coastal Sediment Availability and Flux and Defense Advanced Research Protection Agency (DARPA) Reefense projects. This shapefile represents a point dataset of field activity number (FAN) 2022-334-FA chirp subbottom profile start of trackline locations.

Tags: 2022-334-fa, barrier-island-mapping, boca-chica-key, chirp, coastal-processes, florida, florida-bay-florida-keys, geology, geoscientificinformation, geospatial-datasets, location, marine-geology, navigational-data, oceans, seismic-reflection, south-atlantic, start-of-line-locations, sub-bottom-profiling, usgs-5f8893e2-2f32-4feb-bdfe-260e74bcce97
Organization: Department of the Interior
Fish abundance data, environmental DNA (eDNA) data, and stream habitat data from streams in western Montana

The dataset includes measurements of stream habitat, fish abundance of westslope cutthroat trout and bull trout, and species-specific measures of environmental DNA (eDNA) from within the water.  The data covers multiple streams in western Montana.

Tags: aquatic-biology, biota, bull-trout, environmental-dna, habitat, usgs-5f88616782cebb8c13d6a135, westslope-cutthroat-trout
Organization: Department of the Interior
Black-tailed prairie dog capture data from plots treated and not treated with oral plague vaccine from 2013-2017 in Montana

Oral sylvatic plague vaccine baits (SPV) and placebo baits were distributed once annually from 2013-2016 on treated and non-treated paired plots from 2013-2016.  Black-tailed prairie dogs (BTPD) were live-trapped and permanently marked with passive integrated transponders and ear tags on 4 pairs of plots each year from 2013-2017 to provide capture/recapture data for use in estimating BTPD survival.
The first data set (CMR_SPV_RAW_CAPTURE_DATA.csv) lists all captures and associated covariates with each line representing data from a single prairie dog.  The second data set (CMR_BTPD_WEIGHTS.csv) lists the weight and associated information for each prairie dog at each handling.  The third data set (CMR_FLEAS_BY_HOST.csv) lists the number of fleas collected from each prairie dog at each handling.
Funding was provided through the U.S. Fish and Wildlife Service, multiple USGS sources, grants from the Western Association of Fish and Wildlife Agencies, Montana Fish Wildlife and Parks and World Wildlife Fund.

Tags: biota, black-footed-ferrets, charles-m-russell-national-wildlife-refuge, montana, phillips-county, plague, prairie-dogs, raccoonpox, usgs-5f876fd982cebef40f1b0316, vaccine
Organization: Department of the Interior
Data tables supporting analysis of general water-quality conditions, long-term trends, and network analysis at selected sites within the Missouri Ambient Water-Quality Monitoring Network, water years 1993–2017

The U.S. Geological Survey (USGS), in cooperation with the Missouri Department of Natural Resources (MDNR), collects data pertaining to the surface-water resources of Missouri. These data are collected as part of the Missouri Ambient Water-Quality Monitoring Network (AWQMN) and are stored and maintained by the USGS National Water Information System (NWIS) database. These data constitute a valuable source of reliable, impartial, and timely information for developing an improved understanding of the water resources of the State. Water-quality data collected between 1993 and 2017 were analyzed for long term trends and the network was investigated to identify data gaps or redundant data to assist MDNR on how to optimize the network in the future. 
This is a companion data release product to the Scientific Investigation Report:
Richards, J.M., and Barr, M.N., 2021, General water-quality conditions, long-term trends, and network analysis at selected sites within the Ambient Water-Quality Monitoring Network in Missouri, water years 1993–2017: U.S. Geological Survey Scientific Investigations Report 2021–5079, 75 p., https://doi.org/10.3133/sir20215079.
The following selected tables are included in this data release in compressed (.zip) format:
AWQMN_EGRET_data.xlsx -- Data retrieved from the USGS National Water Information System database that was quality assured and conditioned for network analysis of the Missouri AWQMN
AWQMN_R-QWTREND_data.xlsx -- Data retrieved from the USGS National Water Information System database that was quality assured and conditioned for analysis of flow-weighted trends for selected sites in the Missouri AWQMN
AWQMN_R-QWTREND_outliers.xlsx -- Data flagged as outliers during analysis of flow-weighted trends for selected sites in the Missouri AWQMN 
AWQMN_R-QWTREND_outliers_quarterly.xlsx -- Data flagged as outliers during analysis of flow-weighted trends using a simulated quarterly sampling frequency dataset for selected sites in the Missouri AWQMN
AWQMN_descriptive_statistics_WY1993-2017.xlsx -- Descriptive statistics for selected water-quality parameters at selected sites in the Missouri AWQMN

Tags: biota, descriptive-statistics, flow-weighted-trend, network-analysis, usgs-5f876c1c82cebef40f1adbf0, water-quality
Organization: Department of the Interior
Historical shoreline positions at Barter Island, Alaska for the years spanning 1947 to 2020

This dataset includes one vector shapefile delineating the position of the shorelines at Barter Island, Alaska spanning seven decades, between the years 1947 and 2020. Shoreline positions delineated from a combination of aerial photography, declassified satellite photography, and very-high resolution satellite imagery can be used to quantify the movement of the shoreline through time. These data were used to calculate rates of change every 10 meters alongshore using the Digital Shoreline Analysis System (DSAS) version 5.0. DSAS uses a measurement baseline method to calculate rate-of-change statistics. Transects are cast from the reference baseline to intersect each shoreline, establishing measurement points used to calculate shoreline change rates.

Tags: arctic-national-wildlife-refuge, arctic-ocean, barter-island, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-erosion, coastal-processes, digital-shoreline-analysis-system, dsas, environment, geomorphology, geoscientificinformation, geospatial-datasets, north-slope, oceans, pacific-coastal-and-marine-science-center, pcmsc, permafrost, physical-habitats-and-geomorphology, shoreline-accretion, state-of-alaska, u-s-geological-survey, usgs, usgs-5fa223add34e198cb7954d87
Organization: Department of the Interior
Three-dimensional hydrogeologic framework model of the San Antonio Creek Valley watershed, Santa Barbara County, California

The U.S. Geological Survey (USGS) entered into cooperative agreements with the Santa Barbara County Water Agency and Vandenberg Space Force Base to conduct a hydrologic resource assessment and develop an integrated numerical hydrologic model of the San Antonio Creek Valley watershed (SACVW). As part of this study, the USGS developed a digital three-dimensional hydrogeologic framework model (HFM). This dataset contains a geospatial database related to the digital HFM, individual geographic information system (GIS) shapefiles from the geodatabase, and borehole data used to support development of the HFM in a Microsoft Excel workbook (*.xlsx extension). The geospatial database contains the following data elements: (1) a boundary polygon that defines the HFM extent; (2) line features that define the location of faults used in the HFM; (3) a point dataset defining location of boreholes used in HFM construction; and (4) a polygon feature class containing interpolated elevations and thicknesses of hydrogeologic units as a cellular array. The spatial data are accompanied by non-spatial tables that describe the sources of geologic information, a glossary of terms, a description of model units, and a Data Dictionary. Spatial data are also presented as shapefiles and borehole data are provided in Mircosoft Excel spreadsheet.

Tags: bedrock-geologic-units, borehole-logging, careaga-sandstone, geoscientificinformation, health, paso-robles-formation, rocks-and-deposits, usgs-5f8765ce82cebef40f1ab579, utilitiescommunication
Organization: Department of the Interior
Demographic and potential biological removal models identify raptor species sensitive to current and future wind energy

A central challenge in applied ecology is understanding the effect of anthropogenic fatalities on wildlife populations and predicting which populations may be particularly vulnerable and in greatest need of management attention. We used 3 approaches to investigate potential effects of fatalities from collisions with wind turbines on 14 raptor species for both current (106 GW) and anticipated future (241 GW) levels of installed wind energy capacity in the United States. Our goals were to identify species at relatively high vs low risk of experiencing population declines from turbine collisions and to also compare results generated from these approaches. Two of the approaches used a calculated turbine-caused mortality rate to decrement population growth, where population trends were derived either from the North American Breeding Bird Survey or a matrix model parameterized from literature-derived demographic values. The third approach was potential biological removal, which estimates the number of fatalities that allow a population to reach and maintain its optimal sustainable population set by management objectives

Tags: cumulative-effects, demography, matrix-models, population-ecology, potential-biological-removal, raptors, usgs-5f875b3e82cebef40f1a6464, wind-turbines
Organization: Department of the Interior
Hydroacoustic data from central Lake Erie, 2010-2019

Hydroacoustic estimates of fish density are used for fisheries management in central Lake Erie. Hydroacoustic data were collected along up to four cross-lake transects in central Lake Erie July 2010 through July 2019. Software-generated raw variables used for calculating estimates of hydroacoustic fish densities are presented here.

Tags: aquatic-biology, biota, field-inventory-and-monitoring, fishery-management, great-lakes, lake-erie, multibeam-sonar, transect-sampling, usgs-5f8713c382cebef40f1707af
Organization: Department of the Interior
Land Change Monitoring, Assessment, and Projection (LCMAP) Collection 1.1 Annual Land Cover and Land Cover Change Validation Tables (1985-2018) for the Conterminous United States

A validation assessment of Land Cover Monitoring, Assessment, and Projection Collection 1.1 annual land cover products (1985-2019) for the Conterminous United States was conducted with an independently collected reference dataset. Reference data land cover attributes were assigned by trained interpreters for each year of the time series (1984–2018) at to a reference sample of 24,971 Landsat resolution (30m x 30m) pixels. These pixels were  randomly selected from a sample frame of all pixels in the ARD grid system which fell within the map area (Dwyer et al., 2018). Interpretation used the TimeSync reference data collection tool which visualizes Landsat images and Landsat data values for all usable images in the time series (1984-2018) (Cohen et al., 2010). Interpreters also referred to air photos and high resolution images available in Google Earth as well as several ancillary data layers. The interpreted land cover attributes were crosswalked to the LCMAP annual land cover classes: Developed, Cropland, Grass/Shrub, Tree Cover, Wetland, Water, Snow/Ice and Barren.
Validation analysis directly compared reference labels with annual LCMAP land cover map attributes by cross tabulation.  The results of that assessment are reported here as confusion matrices for land cover agreement and land cover change agreement. The standard errors have been calculated using the post stratified estimator (Card, 1982). Land cover class proportions were also estimated from the reference data for each year, 1985-2018, using the post stratified estimator. A cluster sampling formulation (Stehman 1997) was used to calculate standard sampling error for summary tables reporting results for multiple years of data comparison.

Tags: accuracy-assessment, biota, land-change-monitoring-assessment-and-projection, land-use-and-land-cover, land-use-change, landsat, lcmap, time-series-datasets, usgs-5f86f28682cebef40f170771, validation
Organization: Department of the Interior
Trap Efficacy Captures

As part of a larger study on the efficacy of the biopesticide VectoMax FG for control of larval Culex quinquefasciatus and adult mosquito traps for monitoring, USGS personnel evaluated host-seeking trap configurations and attractants as well as infusions for gravid trap for capturing adult mosquitoes (Culex quinquefasciatus and Aedes japonicus) in native forest habitat from August to November 2017. Four trap sites were selected in a forest tract in Volcano Village. Traps were arranged in a 100-meter square and trap types and lures were rotated through each site during each week of the study in a latin square design.  Both host-seeking traps (Biogents Sentinel Traps and Centers for Disease Control and Prevention (CDC) miniature light traps) and CDC Gravid Traps were operated nightly at each site from 1600 to 0700 hr the following morning.

Tags: avian-malaria, biota, culex-quinquefaciatus, hawaii, hawaii-island, hawaiian-honeycreepers, mosquito-vector, usgs-5fb432dbd34eb413d5e0cda7, usgs-ema-low-fish-and-wildlife-disease, volcano, volcano-village, wildlife-disease
Organization: Department of the Interior