AndreaBozzo/ceres-open-data-index huggingface dataset:
MODFLOW2000 model and ZONEBUDGET computer program used to simulate the Upper Big Sandy Designated Groundwater Basin alluvial aquifer, Elbert, El Paso, and Lincoln Counties, Colorado, 2016

The previously developed three-dimensional groundwater flow model (MODFLOW2000) of the Denver Basin 
bedrock aquifer system and overlying alluvial aquifer (https://pubs.er.usgs.gov/publication/pp1770 and 
model archive https://doi.org/10.5066/F77W69PQ) was updated to provide quantitative estimates of 
groundwater flow conditions and provide a useful tool for managers to analyze temporal changes to the 
hydrologic system in response to changing climatic conditions and future groundwater development. The 
computer program ZONEBUDGET was used to calculate cell by cell water balances for the major 
components of the water budget for the Upper Big Sandy Designated Groundwater Basin alluvial aquifer. 
The original Denver Basin groundwater flow model was done as part of a large-scale regional groundwater 
availability study of the principal aquifers and represents regional time-varying (transient) conditions prior 
to 1880 through 2003. This model was updated to include updated well pumping data through 2016.  This 
U.S. Geological Survey data release contains all of the input and output files for the simulation described 
in the associated model documentation report (https://doi.org/10.3133/sir20195049).

Tags: alluvial-aquifer, arapahoe-confining-unit, colorado, dawson-confining-unit, denver-aquifer, denver-basin, denver-lower-confining-unit, denver-upper-confining-unit, environment, geoscientificinformation, groundwater, groundwater-model, inlandwaters, laramie-confining-unit, laramie-fox-hill-aquifer, lower-arapahoe-aquifer, lower-dawson-aquifer, modflow, modflow2000, pest, ucode, upper-arapahoe-aquifer, upper-big-sandy-designated-groundwater-basin, upper-dawson-aquifer, usgs-d1d5ba49-5f51-40f6-b36a-128bb575ad9b, usgsgroundwatermodel
Organization: Department of the Interior
GIS shapefile: Hardee County, Florida irrigated agricultural land-use for the 2018 growing season

This data set consists of a detailed digital map of the areal extent of fields and a summary of the  irrigated acreage for the 2018 growing season developed for Hardee County, Florida. Selected attribute data that include crop type, irrigation system, and primary water source were collected for each irrigated field.

Tags: boundaries, crop-type, environment, farming, florida-department-of-agriculture-and-consumer-service, groundwater, irrigation-type, landuse, landuse-classification-codes, orthoimagery, south-florida-water-management-district, southwest-florida-water-management-district, surface-water, usgs-5ae1cb96e4b0e2c2dd302896
Organization: Department of the Interior
Nonindigenous aquatic species and potential spread after Hurricane Nate

This map was created to help assess impacts on nonindigenous aquatic species distributions due to flooding associated with Hurricane Nate. Storm surge and flood events can assist expansion and distribution of nonindigenous aquatic species through the connection of adjacent watersheds, backflow of water upstream of impoundments, increased downstream flow, and creation of freshwater bridges along coastal regions. This map will help natural resource managers determine potential new locations for individual species, or to develop a watch list of potential new species within a watershed. These data include a subset of data from the Nonindigenous Aquatic Species Database, that fall within the general area of the 2017 Hurricane Nate flooding.

Tags: ais, alabama, amphibians, animals, ans, biota, crustaceans, environment, fish, flooding, florida, frogs, gis, hurricanes, inlandwaters, introduced-species, invasives, invertebrates, louisiana, mississippi, mollusks, non-indigenous, non-native, nonindigenous, nonnative-species, plants, reptiles, storm, turtles, usgs-59de6a7fe4b05fe04ccd39fa, vertebrates
Organization: Department of the Interior
Riparian species vegetation classification data for the Colorado River within Grand Canyon derived from 2013 airborne imagery

These data are a species-level classification map of riparian vegetation in the Colorado River riparian corridor in Grand Canyon, Arizona, USA. The classification is derived from 0.2 m pixel resolution multispectral aerial imagery acquired in May 2013. The classification spans the riparian zone of the river corridor between Glen Canyon Dam near Page, Arizona, and Lake Mead at Pearce Ferry, Arizona. The classification is divided into 5 distinct reaches of the river: Glen Canyon, Marble Canyon, Eastern Grand Canyon, Western Grand Canyon upstream of Diamond Creek, and Western Grand Canyon downstream of Diamond Creek. The method used for classification was a combination of supervised Classification And Regression Tree (CART) analysis and unsupervised ISODATA classification. The data release package contains the individual raster data of riparian species vegetation classification data based on USGS 1:24000 quad boundaries, and tabular data of training and validation point locations, confusion matrix counts as accuracy assessment and National Vegetation Classification (NVC) standard and vegetation classification descriptions. Two FGDC metadata files are included; one for the raster classification data and one for the tabular data.

Tags: aerial-photography, arizona, botany, colorado-river, decision-support-methods, diamond-creek, geospatial-datasets, glen-canyon, glen-canyon-dam, glen-canyon-national-recreation-area, grand-canyon, grand-canyon-national-park, image-analysis, image-mosaics, invasive-species, lake-mead, lake-powell, land-use-and-land-cover, lees-ferry, little-colorado-river, marble-canyon, multispectral-imaging, national-canyon, native-species, pearce-ferry, plants-organisms, regression-analysis, remote-sensing, scientific-interpretation, spatial-analysis, streamflow, usgs-5bec66a5e4b0b3fc5cf9153a, vegetation
Organization: Department of the Interior
PR_Q06.TIF - Puerto Rico U.S. EEZ GLORIA sidescan-sonar data mosaic (6 of 9) (ACEA, 50 m, Clarke1866)

The Puerto Rico U.S. EEZ study area includes the seafloor between the island of Puerto Rico and the Puerto Rico Trench floor and extends west to Mona Canyon and east to the U.S. Virgin Islands. South of the islands, it covers parts of the Muertos Trough and the Venezuelan Basin. As in earlier EEZ reconnaissance surveys, the USGS utilized the GLORIA (Geological LOng-Range Inclined Asdic) sidescan-sonar system to complete the geologic mapping. The collected GLORIA data were processed and digitally mosaicked to produce continuous imagery of the seafloor. A total of 9 digital mosaics of approximately a 2 degree by 2 degree (or smaller) area with a 50-meter pixel resolution were completed for the Puerto Rico U.S. EEZ.

Tags: acoustic-receivers, acoustic-reflectivity, atlantic-ocean, backscatter, caribbean-sea, cmgp, coastal-and-marine-geology-program, continental-island-rise, continental-island-slope, continental-margin, continental-rise, continental-shelf, continental-slope, distributions, eez, exclusive-economic-zone, exclusive-economic-zone-eez, geological-long-range-inclined-asdic, geoscientificinformation, geotiff-image, gloria, gloria-gt-geological-long-range-inclined-asdic, greater-antilles-ecoregion, grey-scale-image, image-mosaics, imagerybasemapsearthcover, marine-basin-floor, marine-geology, marine-geophysics, marine-oceanic, mona-canyon, muertos-trough, ocean-gt-atlantic-ocean, ocean-gt-atlantic-ocean-gt-north-atlantic-ocean, ocean-gt-atlantic-ocean-gt-north-atlantic-ocean-gt-caribbean-sea, ocean-gt-atlantic-ocean-gt-north-atlantic-ocean-gt-caribbean-sea-gt-puerto-rico, ocean-gt-atlantic-ocean-gt-north-atlantic-ocean-gt-caribbean-sea-gt-virgin-islands, oceans, oceans-gt-ocean-acoustics-gt-acoustic-reflectivity, physical-habitats-and-geomorphology, puerto-rico, puerto-rico-trench, sea-floor-acoustic-reflectivity, sea-floor-characteristics, seabed, side-scan-sonar, sidescan-sonar, sidescan-sonar-mosaic, trench, u-s-geological-survey, usgs, usgs-23dd4797-6da4-49a1-b11e-cc13c94b25e1, virgin-island-shelf, virgin-islands, whsc, whsc-cruise-identifier-frnl85-4, whsc-cruise-identifier-frnl85leg4, whsc-serial-number-85039, woods-hole-science-center
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2005, 2008, 2012, 2015, 2018, and 2021 Site 0552 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, 2015, 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-6569fee1d34e6dde1a4ae295, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Habitat--Drakes Bay and Vicinity, California

This part of DS 781 presents data for the habitat map of the seafloor of the Drakes Bay and Vicinity map area, California. The vector data file is included in "Habitat_DrakesBay.zip," which is accessible from https://pubs.usgs.gov/ds/781/DrakesBay/data_catalog_DrakesBay.html. These data accompany the pamphlet and map sheets of Watt, J.T., Dartnell, P., Golden, N.E., Greene, H.G., Erdey, M.D., Cochrane, G.R., Johnson, S.Y., Hartwell, S.R., Kvitek, R.G., Manson, M.W., Endris, C.A., Dieter, B.E., Sliter, R.W., Krigsman, L.M., Lowe, E.N., and Chin, J.L. (J.T. Watt and S.A. Cochran, eds.), 2015, California State Waters Map Series—Drakes Bay and Vicinity, California: U.S. Geological Survey Open-File Report 2015–1041, pamphlet 36 p., 10 sheets, scale 1:24,000, https://doi.org/10.3133/ofr20151041.
Potential marine benthic habitat maps were constructed using multibeam echosounder (MBES) bathymetry and backscatter data. The habitats were based on substrate types and documented or "ground truthed" using underwater video images and seafloor samples obtained by the USGS. These maps display various habitat types that range from flat, soft, unconsolidated sediment-covered seafloor to hard, deformed (folded), or highly rugose and differentially eroded bedrock exposures.

Tags: benthos, california, continental-island-shelf, distributions, drakes-bay, environment, geoscientificinformation, geospatial-datasets, habitat, habitats, imagerybasemapsearthcover, maps-and-atlases, marine-nearshore-subtidal, marine-offshore-subtidal, northern-california, northern-california-ecoregion, oceans, pacific-ocean, physical-habitats-and-geomorphology, rock-substrate, sea-floor-characteristics, seabed, transform-continental-margin, unconsolidated-mineral-substrate, usgs-3aa85857-6166-4031-ab55-0c63c4f53358
Organization: Department of the Interior
Seed set coefficients of variation for two-decade periods (1900-2013)

Compiled 1086 datasets of plant seed production spanning 1900-2013 and from around the world were binned into 2-decade periods for which CV (coefficient of variation) of seed set was calculated. Skewness, dip test, mean, and kurtosis were calculated for the same periods.

Tags: biota, forest-ecology, global-change, masting, seed-production, usgs-5ab3016ae4b081f61ab462d5
Organization: Department of the Interior
Source and target sediment fingerprint data for Upper Difficult Run, VA

This metadata record documents 2 comma delimited tables that support the journal article "Bank-derived material dominates fluvial sediment in a suburban Chesapeake Bay watershed." They consist of a source and target dataset.

Tags: bank-erosion, chesapeake-bay, sediment, sediment-fingerprinting, suburban, upper-difficult-run, urban-stream, usgs-59c02329e4b091459a5e0acb, virginia
Organization: Department of the Interior
Fish abundance, environmental DNA, and stream habitat data from Washington, and southern British Columbia, Canada

Field estimates of the abundance of rainbow trout in Washington and British Columbia were collected in concert with environmental DNA samples (eDNA) to evaluate if eDNA copy numbers correlated with abundance of trout. In addition, stream habitat data including channel units (pools, riffles), substrate, large woody debris, among others, were collected at sites.

Tags: biota, british-columbia, environmental-dna, habitat, rainbow-trout, trout, usgs-5f8863c582cebb8c13d6d3fa, washington
Organization: Department of the Interior
Hawaiian hoary bat individual video detections at wind turbines, Maui Island 2018

The Hawaiian hoary bat (Lasiurus cinereus semotus), a federally and state listed endangered subspecies, is the only extant native terrestrial mammal in the Hawaiian archipelago. It is an insectivorous, solitary and foliage-roosting species that generally roosts alone or in mother-pup family groups.   
This study examined the behavior of Hawaiian hoary bats at wind turbines operated by Auwahi Wind Energy, LLC, on southern Maui Island, from August to November 2018. The research was conducted to assess the risk that wind turbines pose to bats at the wind energy facility, and compared information obtained from both acoustic monitoring and thermal videography.
The dataset for this release comprises the thermal video data compiled for all individual bat detections.  It differs from the data presented in "Hawaii hoary bat nightly acoustic-visual detections and conditions, Maui Island 2018" in that the latter tallies total bat detections per night and turbine for both acoustic and video sampling methods.

Tags: behavior, biota, hawaiian-hoary-bat, usgs-5eab79ce82cefae35a225634, wind-turbine
Organization: Department of the Interior
USGS benthic foraminiferal samples (1996 - 1997)

This GIS layer contains a point overlay showing the the population of benthic foraminiferain samples collected during the time period of 1996 - 1997 by the USGS.

Tags: arcview, benthic-foraminiferal, benthic-foraminiferal-distribution, coastal-and-marine-geology-program, coastal-and-marine-geology-team, connecticut, connecticut-department-of-environmental-protection, foraminiferal-analysis, geospatial-datasets, long-island-sound, new-york, points, protists, sample-locations, shapefile, u-s-geological-survey, unconsolidated-deposits, usgs, usgs-30c465fc-0a21-47d1-8627-9aab358f19e8, wesleyan-university, woods-hole-field-center
Organization: Department of the Interior
09471580 - San Pedro River at St David, AZ - 2019/12/05 GPS Survey

The dataset contains data from a GPS survey conducted after a flow event on November 29, 2019, at the USGS streamgage 09471580 - San Pedro River at St David, AZ. The survey, conducted on December 5, 2019, documents cross section geometry and high-water marks from the flow event in the reach downstream from the gage. One CSA pin elevation at CSA 09471588 - San Pedro River below Dragoon Wash at St David, AZ, was also surveyed. The other three CSA sensors at 09471588 were destroyed during the November 29, 2019, flow event.

Tags: cochise-county, flood-stage, gps, high-water-marks, saint-david-az, san-pedro-river, usgs-5e8247bae4b01d5092794a4f
Organization: Department of the Interior
Mineral Commodity Summaries 2025 - ZEOLITES (NATURAL) Data Release

This data release contains the U.S. salient statistics and world production data extracted from the ZEOLITES (NATURAL) data sheet of the USGS Mineral Commodity Summaries 2025.

Tags: chabazite, clinoptilolite, erionite, ferrierite, nonmetallic-mineral-resources, phillipsite, usgs-6798f63fd34ea8c18376e89d, zeolites
Organization: Department of the Interior
Russian River Integrated Hydrologic Model (RRIHM):Daily Maximum and Minimum Temperature Data from 1990-2015

The Russian River Watershed (RRW) covers about 1,300 square miles (without Santa Rosa Plain) of urban, agricultural, and forested lands in northern Sonoma County and southern Mendocino County, California. Communities in the RRW depend on a combination of Russian River water and groundwater to meet their water-supply demands. Water is used primarily for agricultural irrigation, municipal and private wells supply, and commercial uses - such as for wineries and recreation. Annual rainfall in the RRW is highly variable, making it prone to droughts and flooding from atmospheric river events. In order to better understand surface-water and groundwater issues, the USGS is creating a Coupled Ground-Water and Surface-Water Flow Model (GSFLOW; Markstrom and others, 2008) of the RRW. This model will include climate, geology, surface-water, groundwater, and land-use data.
These data are daily maximum and minimum temperature data from 8 stations in the Russian River watershed for 1990-2015.

Tags: california, climate, environment, russian-river, temperature, united-states, usgs-63110d88d34e36012efa100a
Organization: Department of the Interior
Data Layers for the Geospatial Fabric for National Hydrologic Modeling, Alaska Domain

The Geospatial Fabric is a dataset of spatial modeling units for use within the National Hydrologic Model that covers  Alaska, and most major river basins that flow in from Canada.  This U.S. Geological Survey (USGS) data release consists of the geospatial fabric features and other related datasets created to expand the National Hydrologic Model to Alaska.
This U.S. Geological Survey (USGS) child item consists of 17 different spatial layers in GeoTIFF format for Alaska. They are 1) average water capacity (awc.zip), 2) percent sand (sand.zip), 3) percent silt (silt.zip), 4) percent clay (clay.zip), 5)  soil texture (TEXT_PRMS.zip), 6)  land use/land cover (LULC.zip), 7)   snow values (snow.zip), 8)  summer rain values (SRain.zip), 9)  winter rain values (WRain.zip), 10)  leaf presence values (keep.zip), 11)  leaf loss values (loss.zip), 12) percent tree canopy (CNPY.zip), 13) percent impervious surface (imperv.zip), 14) snow depletion curve numbers (CV_INT.zip), 15) rooting depth (RootDepth.zip), 16) permeability values (Lithology_exp_Konly_Project.zip), and 17) water bodies (wbg.zip).  All data cover the National Hydrologic Model's (NHM)  Alaskan domain. The 250-meter (m) raster datasets for soils (in sand.zip, silt.zip, clay.zip, TEXT_PRMS.zip) are derived from the Zonodo data (Hengl, 2018).  The 30-meter raster of land use and land cover data are a simplified re-classification version of the North American Land-Change Monitoring System (NALCMS, Latifovic and others, 2012) data following the guidance and crosswalk table (crosswalk.csv) in Viger and Leavesley (2007). This layer was used to derive rasters representing dominant vegetative cover type, snow, summer and winter rain interception values, leaf cover and loss, and rooting depth. The impervious data were compiled from the Global Man-made Impervious Surface (GMIS) Dataset from Landsat, v1 (Brown de Colstoun, 2010). The tree canopy data were compiled from MOD44B MODIS/Terra Vegetation Continuous Fields Yearly L3 Global 250m SIN Grid V006, (Sexton and others, 2013). The snow depletion data was compiled from data by Liston (2009) and further processed using methods provided in a snow depletion table (SDC_table.csv) by Sexstone and others (2020).  All file formats are in GeoTIFF (Geograhpic Tagged Imaged Format).

Tags: alaska, average-water-capacity, biota, boundaries, canada, geographic-information-systems-gis, geoscientificinformation, hydrologic-modeling, hydrologic-response-units-hrus, interception, land-cover, leaf-loss, leaf-presence, percent-clay, percent-sand, percent-silt, united-states, usgs-6644f758d34e1955f5a42d84
Organization: Department of the Interior
DS926 Digital surfaces and thicknesses of selected hydrogeologic units of the Floridan aquifer system in Florida and parts of Georgia, Alabama, and South Carolina -- Raster surface depicting the top of the LAPPZ

Digital surfaces and thicknesses of selected hydrogeologic units of the Floridan aquifer system 
were developed to define an updated hydrogeologic framework as part of the U.S. Geological 
Survey Groundwater Resources Program. This feature class contains a gridded surface 
depicting the top of the lower Avon Park permeable zone in feet relative to NGVD29.

Tags: alabama, altitude, below, clip, environment, extent, florida, floridan-aquifer-system, geology, georgia, geoscientificinformation, gridded-surface, hydrogeology, inlandwaters, lappz, lf1, lower-avon-park, permeable-zone, raster, regional-groundwater-availability-study, south-carolina, stratigraphy, thickness, top, united-states-geological-survey, usgs, usgs-13b1534b-f24e-4202-9239-584fcaccf390
Organization: Department of the Interior
Cumulative Production Per Township - SaMiRa

This dataset contains a selected township grid within the Sagebrush Mineral Resource Assessment project (SaMiRa) study area attributed with cumulative oil and gas production data obtained with permission from IHS Energy Global production data.  Please see purpose for more information on the SaMiRa project

Tags: earth-science, energy-resources, idaho, montana, natural-gas, natural-resources, oil, oregon, petroleum-exploration, samira, u-s-geological-survey, us-petroleum-production, usgs-5d24adc9e4b0941bde64fb7f, utah, wyoming
Organization: Department of the Interior
Textural description of surface sediment samples collected in March/April 2014 and October 2014 from Chincoteague Bay, Virginia and Maryland (U.S. Geological Survey Field Activity Numbers 14CTB01, and 14CTB22).

Scientists from the U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center conducted a seasonal collection of surficial sediments from Chincoteague Bay and Tom's Cove, located between Assateague Island and the Delmarva Peninsula in March/April 2014 (2014-301-FA) and October 2014 (2014-322-FA). The sampling efforts were part of a larger U.S. Geological Survey study to assess the effects of storm events on sediment distribution. The objective of this study was to characterize the sediments of Chincoteague Bay in order to create baseline conditions to incorporate with hydrodynamic and sediment transport models in order to evaluate pre- and post-storm (Hurricane Sandy) change. This report serves as an archive for sedimentological data derived from the surface sediment. Data are available for a seasonal comparison between March/April 2014 and October 2014. Downloadable data are available as Excel spreadsheets (sediment samples) and as JPEG files (maps). Additional files include: detailed results of sediment grain size analyses, and formal Federal Geographic Data Committee metadata (data downloads).

Tags: assateague-island, chincoteague-bay, folk-and-ward, gradistat, grain-size, kurtosis, lagoon, maryland, mean, sediment, skewness, sorting, surface, toms-cove, u-s-geological-survey, u-s-geological-survey-st-petersburg-coastal-and-marine-science-center, usgs, usgs-4fdee142-808a-4445-adf3-920c2b6ae954, virginia
Organization: Department of the Interior