AndreaBozzo/ceres-open-data-index huggingface dataset:
Mercury Concentrations in Litterfall, Bad River Watershed, Wisconsin, 2012-2018

Annual litterfall samples were collected and analyzed for THg (total mercury) and MHg (methyl mercury) at a site (WI95) on Bad River tribal lands during 2012 to 2018. Litterfall was collected at a second site, WI01, during 2012 only. Litterfall was sampled in eight collectors, from which annual mass was determined. Total mercury analyses were performed on only four samples from the collectors with the lowest numbers in the sequence. A mass weighted sample based on the four THg samples was analyzed for MHg. Neither the collection of litterfall samples nor the Hg analyses were performed by the U.S. Geological Survey, New York Water Science Center.

Tags: bad-river, lake-superior, mercury-contamination, united-states, usgs-5d63f03be4b01d82ce986c7d, wisconsin
Organization: Department of the Interior
Reported and inventoried crop and irrigated acreage in DeSoto County, Florida, 1978-2018

A detailed table summarizing the irrigated acreage by crop type and irrigation system was developed for the 2018 growing season (November 2017 and September 2018) for DeSoto County, Florida. The acreage totals presented are derived from the results of a cooperative project that mapped and field-verified irrigated fields in DeSoto County, Florida. In addition, the table provides acreage totals by crop type published by the U.S. Department of Commerce for 1978 and 1982 and the U.S. Department of Agriculture for years between 1987 and 2012.

Tags: crop-type, desoto-county, environment, farming, florida, florida-department-of-agriculture-and-consumer-service, groundwater, inlandwaters, irrigation-type, landuse, landuse-classification-codes, orthoimagery, south-florida-water-management-district, surface-water, usgs-5ae1cc8fe4b0e2c2dd30289c
Organization: Department of the Interior
Classifications of groundwater monitoring wells as mixing with disposal water from percolation and evaporation ponds in the southwestern San Joaquin Valley, Kern County, California

The U.S. Geological Survey (USGS) in cooperation with the California State Water Resources Control Board compiled and analyzed data to determine the approximate extent of plumes from produced water disposal ponds during 2016-2018 when airborne electromagnetic survey data were collected near the Midway-Sunset, Buena Vista, Elk Hills, McKittrick, Cymric, North Belridge, South Belridge, and Lost Hills Oil Fields in the southwestern San Joaquin Valley (SWSJV), Kern County, California. Data were compiled from documents available in the California State Water Resources Control Board GeoTracker database and the USGS National Water Information System. Geochemistry data collected at groundwater monitoring wells were analyzed to classify shallow groundwater samples as either mixing or not mixing with produced water disposed of on land. Classification criteria and sources of related technical information reported by well owners are described in this data release.

Tags: california, disposal-sites, environment, inlandwaters, kern-county, natural-resource-extraction, oil-fields, produced-water, san-joaquin, usgs-670f3731d34edd2692095df0
Organization: Department of the Interior
Mean tidal range in marsh units of Assateague Island National Seashore and Chincoteague Bay, Maryland and Virginia


    Biomass production is positively correlated with mean tidal range in salt marshes along the Atlantic coast of the United States of America. Recent studies support the idea that enhanced stability of the marshes can be attributed to increased vegetative growth due to increased tidal range. This dataset displays the spatial variation of mean tidal range (i.e. Mean Range of Tides, MN) in the Assateague Island National Seashore and Chincoteague Bay based on conceptual marsh units defined by Defne and Ganju (2018). MN was based on the calculated difference in height between mean high water (MHW) and mean low water (MLW) using the VDatum (v3.5) database ( http://vdatum.noaa.gov/ ). 
    
    Through scientific efforts initiated with the Hurricane Sandy Science Plan, the U.S. Geological Survey has been expanding national assessment of coastal change hazards and forecast products to coastal wetlands, including the  Assateague Island National Seashore and Chincoteague Bay salt marshes, with the intent of providing Federal, State, and local managers with tools to estimate the vulnerability and ecosystem service potential of these wetlands. For this purpose, the response and resilience of coastal wetlands to physical factors need to be assessed in terms of the ensuing change to their vulnerability and ecosystem services. Mean elevation of marsh units is planned to be an underlying parameter in the synthesis of these factors.
    
    References:
    Defne, Z., and Ganju, N.K., 2018, Conceptual marsh units for Assateague Island National Seashore and Chincoteague Bay, Maryland and Virginia: U.S. Geological Survey data release, https://doi.org/10.5066/P92ZW4D9.
   

Tags: accomack-county, assateague-island-national-seashore, assateague-state-park, atlantic-ocean, chincoteague-bay, chincoteague-island, coastal-ecosystems, coastal-processes, e-a-vaughn-wildlife-management-area, environment, estuary, geospatial-datasets, inlandwaters, long-term-ecological-research, lter, marsh-health, maryland, oceans, salt-marsh, tidal-range, tides-oceanic, united-states, usgs-5ba3cd32e4b08583a5c81bdf, vegetation, virginia, wallops-island, wetland-ecosystems, wetland-functions, worcester-county
Organization: Department of the Interior
Alaska Fault Trace Mapping, 2021

This dataset provides a detailed (1:10,000) digital map of fault and fold traces in Alaska, USA based on features identified in the freely available ArcticDEM 3.0. The fault traces represented in this dataset either revise the location and accuracy of known active faults or folds archived in the USGS Quaternary Fault and Fold Database, or represent the surface traces of active structures not previously recognized.

Tags: alaska, alaska-range, brooks-range, earth-science, faults, geomorphic-landforms-processes, geoscientificinformation, paleoseismology, structural-geology, tectonic-landforms, tectonic-processes, usgs-asc370, yukon, yukon-river
Organization: Department of the Interior
Fluid electrical conductivity data

When water is pumped slowly from saturated sediment-water inteface sediments, the more highly connected, mobile porosity domain is prefferentially sampled, compared to less-mobile pore spaces. Changes in fluid electrical conductivity (EC) during controlled downward ionic tracer injections into interface sediments can be assumed to represent mobile porosity dynamics, which are therefore distinguished 
from less-mobile porosity dynamics that is measured using bulk EC geoelectrical methods. Fluid EC samples were drawn at flow rates similar to tracer injection rates to prevent inducing preferential flow. The data were collected using a stainless steel tube with slits cut into the bottom (USGS MINIPOINT style) connected to an EC meter via c-flex or neoprene tubing, and drawn up through the system via a peristaltic pump. 
The data were compiled into an excel spreadsheet and time corrected to compare to bulk EC data that were collected simultaneously and contained in another section of this data release.  Controlled, downward flow experiments were conducted in Dual-domain porosity apparatus (DDPA). Downward flow rates ranged from 1.2 to 1.4 m/d in DDPA1 and at 1 m/d, 3 m/d, 5 m/d, 0.9 m/d as described in the publication: Briggs, M.A., Day-Lewis, F.D., Dehkordy, F.M.P., Hampton, T., Zarnetske, J.P., Singha, K., Harvey, J.W. and Lane, J.W., 2018, Direct observations of hydrologic exchange occurring with less-mobile porosity and the development of anoxic microzones in sandy lakebed sediments, Water Resources Research, DOI:10.1029/2018WR022823.

Tags: environment, geophysics, geoscientificinformation, groundwater, hydrogeology, hydrology, inland-waters, inlandwaters, massachusetts, measurement, sandwich, seepage, snake-pond, surface-water, tracer, usgs-5b11b067e4b092d9651badb2
Organization: Department of the Interior
CENCAL1929_1942 - Vectorized Shoreline of Central Califonia Derived from 1929-1942 Source Data

There are critical needs for a nationwide compilation of reliable shoreline data.  To meet these needs, the U.S. Geological Survey (USGS) has produced a comprehensive database of digital vector shorelines by compiling shoreline positions from pre-existing historical shoreline databases and by generating historical and modern shoreline data.  Shorelines are compiled by state and generally correspond to one of four time periods: 1800s, 1920s-1930s, 1970s, and 1998-2002.  Each shoreline may represent a compilation of data from one or more sources for one or more dates provided by one or more agencies.  Details regarding source are provided in the 'Data Quality Information' section of this metadata report.  Shoreline vectors derived from historic sources (first three time periods) represent the high water line at the time of the survey, whereas modern shorelines (final time period) represent the mean high water line.

Tags: baseline, beach-erosion, beach-nourishment, california, cmgp, coastal-and-marine-geology-program, coastal-processes, coastal-survey-map, continental-island-shore-complex, effects-of-coastal-change, elevation, endpoint-rate, erosion, esri-polyline-shapefile, historic-shoreline, lidar, linear-regression-rate, northern-california-ecoregion, oceans, shoreline, shoreline-accretion, shoreline-change-rate, shoreline-erosion, t-sheet, tp-sheet, u-s-geological-survey, united-states, usgs, usgs-1c686f65-15b4-4186-9197-1cd1431388fb
Organization: Department of the Interior
Population Counts at Two Seabird Colonies in Lower Cook Inlet, Alaska

This dataset consists of one table with annual population counts (censuses) for Black-legged Kittiwakes and Common Murres at two seabird nesting colonies on Gull and Chisik Islands in lower Cook Inlet, Alaska.

Tags: alaska, animals-vertebrates, biota, birds, black-legged-kittiwakes, breeding-sites, coastal-ecosystems, common-murres, cook-inlet, environment, gulf-of-alaska, indicator-species, kachemak-bay, marine-ecosystems, population-dynamics, rissa-tridactyla, uria-aalge, usgs-asc373, waders-gulls-auks-and-allies, wildlife
Organization: Department of the Interior
Forage Fish Morphology Data from Lower Cook Inlet, Alaska

This dataset consists of two tables: 1) forage fish catch and size data from hydroacoustic trawl transects, and 2) taxonomic details of fish species collected around two seabird nesting colonies on Gull and Chisik Islands in lower Cook Inlet, Alaska.

Tags: alaska, animals-vertebrates, biota, cook-inlet, environment, fish, fisheries, food-fishes, forage-fish, gulf-of-alaska, kachemak-bay, marine-ecosystems, marine-fishery-resources, mid-water-trawl, pelagic-habitat, population-and-community-ecology, trawling, usgs-asc374, zooplankton
Organization: Department of the Interior
Hydroacoustic Survey Data from Lower Cook Inlet, Alaska

This dataset consists of one table with Area Backscattering Coefficient (ABC) data from hydroacoustic transect surveys collected around two seabird nesting colonies on Gull and Chisik Islands in lower Cook Inlet, Alaska.

Tags: acoustic-backscatter, alaska, aquatic-sciences-and-fisheries, biota, coastal-ecosystems, cook-inlet, environment, fisheries, fishery-technology, gulf-of-alaska, hydroacoustics, kachemak-bay, marine-ecosystems, marine-fisheries, marine-fishery-resources, nautical-area-scattering-coefficient, oceans, pelagic-habitat, usgs-asc375, zooplankton
Organization: Department of the Interior
Magnetotelluric data from Missouri, Arkansas, Tennessee, Illinois, and Kentucky, 2016-2019, station rfr315

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 rfr315 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-5f8b972682ce324187907f20
Organization: Department of the Interior
National Land Cover Database (NLCD) 2019 Impervious Products

The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released five National Land Cover Database (NLCD) products over the past two decades: NLCD 1992, 2001, 2006, 2011, and 2016.  The 2016 release saw landcover created for additional years of 2003, 2008, and 2013. These products provide spatially explicit and reliable information on the Nation’s land cover and land cover change. To continue the legacy of NLCD and further establish a long-term monitoring capability for the Nation’s land resources, the USGS has designed a new generation of NLCD products named NLCD 2019. The NLCD 2019 design aims to provide innovative, consistent, and robust methodologies for production of a multi-temporal land cover and land cover change database from 2001 to 2019 at 2–3-year intervals. Comprehensive research was conducted and resulted in developed strategies for NLCD 2019: continued integration between impervious surface and all landcover products with impervious surface being directly mapped as developed classes in the landcover, a streamlined compositing process for assembling and preprocessing based on Landsat imagery and geospatial ancillary datasets; a multi-source integrated training data development and decision-tree based land cover classifications; a temporally, spectrally, and spatially integrated land cover change analysis strategy; a hierarchical theme-based post-classification and integration protocol for generating land cover and change products; a continuous fields biophysical parameters modeling method; and an automated scripted operational system for the NLCD 2019 production. The performance of the developed strategies and methods were tested in twenty composite referenced areas throughout the conterminous U.S. An overall accuracy assessment from the 2016 publication give a 91% overall landcover accuracy, with the developed classes also showing a 91% accuracy in overall developed.  Results from this study confirm the robustness of this comprehensive and highly automated procedure for NLCD 2019 operational mapping. Questions about the NLCD 2019 land cover product can be directed to the NLCD 2019 land cover mapping team at USGS EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov. See included spatial metadata for more details.

Tags: biota, digital-spatial-data, gis, image-processing, imagerybasemapsearthcover, land-cover, u-s, u-s-geological-survey-usgs, united-states, us, usgs-604a500ed34eb120311b006c
Organization: Department of the Interior
2022 Hydrologic Data Summary for the Central Pine Barrens Region, Suffolk County, New York

This U.S. Geological Survey (USGS) data release provides surface water quality and groundwater elevation data collected by USGS personnel within the Central Pine Barrens (CPB) Region of Suffolk County, New York, from October 1, 2021 through September 30, 2022. The data were collected in cooperation with the Central Pine Barrens Commission and the Town of Brookhaven as part of a comprehensive water resources monitoring program during 2017 to 2023. Water quality and quality assurance data from seven sites on two rivers (Carmans River- five sites and Peconic River- two sites) in the CPB are included. Carmans River sites were sampled four times throughout the year (fall, winter, spring, and summer) and Peconic River sites were sampled twice throughout the year (fall and spring). Water quality field parameters measured during each site visit are included. All samples were analyzed for nutrients, major inorganics, and alkalinity. An annual set of organic samples for pesticide and pharmaceutical analysis were collected at one Carmans River site and two Peconic River sites. Periodic groundwater elevation data collected from six CPB wells are included. Continuous (15-minute interval) groundwater elevation data are included for one of the six wells.

Tags: environmental-health, groundwater, long-island, new-york, pine-barrens, river, stream, suffolk-county, surface-water, surface-water-quality, united-states, usgs-64c7f088d34e70357a349e3b, water-quality
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2005, 2008, 2012, 2016, 2018, and 2021 Site 0119 land-water matrix

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring to determine the efficacy of these projects. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 390 sites that encompass the range of hydrological and ecological conditions for each stratum. As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites. This dataset consists of a matrix of six land-water products (2005, 2008, 2012, 2016, 2018, and 2021).  The resulting matrix has 64 possible classes defined by the combination of land and water categories on those six dates.

Tags: alteration-of-wetland-habitats, cartography, coastal, coastal-louisiana, crms, doqq, emergent-wetland, forested-wetland, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, scrub-shrub-wetland, state-of-louisiana, usgs-64dfbafed34e5f6cd553c053, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Forest stands and LiDAR derived model estimates of marbled murrelet (Brachyramphus marmoratus) occupancy in the Coos Bay BLM District, Southwestern Oregon

We used murrelet occupancy data collected by the Bureau of Land Management Coos Bay District and canopy metrics calculated from discrete return airborne LiDAR data to fit a logistic regression model predicting the probability of occupancy. Our final model for stand-level occupancy included distance to coast and 5 LiDAR-derived variables describing canopy structure. This dataset is a shapefile of forest stands in the Coos Bay district representing the model results.

Tags: biota, coos-bay, forest-ecosystems, geoscientificinformation, geospatial-datasets, lidar, oregon, oregon-coast-range, usgs-63cec91cd34e06fef14fc926
Organization: Department of the Interior
Wyoming Mule Deer Jackson Routes

Mule deer within the Jackson segment of the Sublette herd winter mainly in the valley and south-facing slopes of the buttes. These geologic features are characteristic of the Jackson Hole area near Jackson, Wyoming. Winter ranges in the Jackson valley are a mixture of national forest public land as well as private urban and exurban land. The lower elevation, south-facing hillslopes are typified by stands of Juniperus scopulorum (Rocky Mountain juniper) or mixed mountain shrub communities of Artemisia tridentata (mountain big sagebrush), Artemisia tripartite (three-tip sagebrush), Purshia tridentata (antelope bitterbrush), Amelanchier alnifolia (Saskatoon serviceberry), Symphoricarpos albus (common snowberry), chokecherry, and various grasses and forbs. North-facing slopes are characterized by a mixture of Douglas fir and quaking aspen. 
These mapping layers show the location of the Migration routes for Mule Deer (Odocoileus hemionus) in the Jackson population in Wyoming. They were developed from 55 migration sequences collected from a sample size of 19 animals comprising GPS locations collected every 2 hours.

Tags: animal-behavior, biota, jackson, migration-organisms, migration-route, migratory-species, united-states, usgs-63650c76d34ebe442507cecb, wyoming
Organization: Department of the Interior
An Unvegetated to Vegetated Ratio (UVVR) for coastal wetlands of the Gulf of Mexico Coast - 1989

Prior research has shown that sediment budgets, and therefore stability, of microtidal marsh complexes scale with areal unvegetated to vegetated marsh ratios (UVVR) suggesting these metrics are broadly applicable indicators of microtidal marsh vulnerability. This effort has developed the UVVR metric using readily available satellite imagery for the coastal areas of the contiguous United States (CONUS). These datasets provide annual averages of the 1) unvegetated fraction, 2) vegetated fraction, 3) water fraction and 4) an unvegetated to vegetated ratio (UVVR) at 30-meter resolution over the coastal areas of the contiguous United States for the year 1989. Additionally, multi-year average values of vegetated ratio, its standard deviation and a UVVR based on the annually-averaged vegetated ratio are provided for the coastal wetlands of the contiguous United States.

Tags: alabama, coastal-wetlands, conterminous-united-states, florida, fractional-cover, gulf-of-mexico-coast, louisiana, mississippi, texas, unvegetated, unvegetated-to-vegetated-ratio, usgs-66e1cf35d34ecba8b8677807, uvvr, vegetation, wetland-change, wetland-gain, wetland-loss, wetlands
Organization: Department of the Interior
Coastal Carolinas Topobathymetric Model: Field Validation Data, 2021

U.S. Geological Survey (USGS) scientists conducted field data collection efforts between March 8th and 25th, 2021 at four sites along coastal North Carolina and South Carolina using high accuracy surveying technologies.  The work was initiated as an effort to validate a topobathymetric digital elevation model (TBDEM) produced for the area that was directly impacted by Hurricane Florence in 2018.  The goal was to compare the airborne lidar and sonar derived TBDEM to data collected through more traditional means (e.g. Global Navigational Satellite System (GNSS) surveying).  In addition, coastal dunes were mapped with ground based lidar (GBL) for computation of dune metrics.  The Hurricane Florence TBDEM will support the USGS Coastal and Marine Hazards and Resources Program (CMHRP) Hurricane Florence storm induced flooding and sediment transport modeling work. Funding for this work came from the Supplemental Appropriations for Disaster Relief Act of 2019 (H.R. 2157) and the USGS CMHRP.

Tags: 3d-elevation-program, 3dep, cape-hatteras-national-seashore, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-national-elevation-database, coned, dem, digital-elevation-model, elevation, fort-fisher-state-recreation-area, fort-macon-state-park, geoscientificinformation, global-navigation-satellite-system, gnss, ground-based-lidar, huntington-beach-state-park, lidar, light-detection-and-ranging, location, ocracoke-island, state-of-north-carolina, state-of-south-carolina, tbdem, terrestrial-laser-scanning, topobathy, topobathymetric-digital-elevation-model, topobathymetric-lidar, total-station, u-s-geological-survey, usgs, usgs-61a7942ed34eb622f6985ca3, validation
Organization: Department of the Interior