AndreaBozzo/ceres-open-data-index huggingface dataset:
Peak ground acceleration with a 2% probability of exceedance in 50 years

A seismic hazard model for South America, based on a smoothed (gridded) seismicity model, a subduction model, a crustal fault model, and a ground motion model, has been produced by the U.S. Geological Survey.  These models are combined to account for ground shaking from earthquakes on known faults as well as earthquakes on un-modeled faults.
This data set represents the results of calculations of hazard curves for a grid of points with a spacing of 0.1 degrees in latitude and longitude.  This particular data set is for peak ground acceleration with a 2 percent probability of exceedance in 50 years.

Tags: argentina, bolivia, brazil, chile, colombia, earthquake, ecuador, french-guiana, guyana, hazard, panama, paraguay, peru, risk, seismic, south-america, suriname, trinidad-and-tobago, uruguay, usgs-59727294e4b0ec1a4885eed3, venezuela
Organization: Department of the Interior
Hawaii Island Hoary Bat Acoustic and Visual Surveys 2014

Hawaiian hoary bat vocalization and visual detection records collected on Hawaii Island, Hawaii, September-October 2014.  Bat echolocation was monitored with ultrasonic detectors and bat occurrence and behavior was monitored using thermal surveillance cameras.

Tags: acoustic-sampling, detection-rates, echolocation, thermal-videography, usgs-59725a0ee4b0ec1a4885ee40, vocalization-behavior
Organization: Department of the Interior
Terrain model for Icy Bay, Alaska with slip surface for 2015 landslide

This digital terrain model of the Icy Bay, Alaska region consists of elevations acquired using airborne Interferometric Synthetic Aperture Radar (IFSAR) merged with bathymetry interpolated from various hydrographic surveys and inferred landslide slip surface elevations for a landslide that occurred on October 17, 2015 near the terminus of Tyndall Glacier. Hydrographic information for Icy Bay and the lower 9 km of Taan Fiord was primarily from hydrographic surveys and a nautical chart published by the U.S. National Oceanic and Atmospheric Administration (NOAA). Near the head of Taan Fiord, hydrographic survey points were from Meigs and others (2006). The reach of Taan Fiord between the study of Meigs and others (2006) and the NOAA hydrographic data was interpolated using manually drawn contours. In the source area of the October 17, 2015 landslide, land surface elevations were replaced with inferred elevations of the surface on which the landslide moved (slip surface). The slip surface produces a displaced material volume of 73 million cubic meters.

Tags: alaska, elevation, icy-bay, landslide, slip-surface, taan-fiord, taan-fjord, tyndall-glacier, usgs-59724437e4b0ec1a4885edf2, wrangell-saint-elias-national-park, wrangell-saint-elias-national-preserve
Organization: Department of the Interior
Terrain model for Icy Bay, Alaska

This digital terrain model of the Icy Bay, Alaska region consists of elevations acquired using airborne Interferometric Synthetic Aperture Radar (IFSAR) merged with bathymetry interpolated from various hydrographic surveys. Hydrographic information for Icy Bay and the lower 9 km of Taan Fiord was primarily from hydrographic surveys and a nautical chart published by the U.S. National Oceanic and Atmospheric Administration (NOAA). Near the head of Taan Fiord, hydrographic survey points were from Meigs and others (2006). The reach of Taan Fiord between the study of Meigs and others (2006) and the NOAA hydrographic data was interpolated using manually drawn contours.

Tags: alaska, elevation, icy-bay, taan-fiord, taan-fjord, tyndall-glacier, usgs-59724162e4b0ec1a4885ede3, wrangell-saint-elias-national-park, wrangell-saint-elias-national-preserve
Organization: Department of the Interior
GIS shapefiles for Kilauea's episode 61g lava flow, Puu Oo eruption: May 2016 to May 2017

This dataset contains shapefiles and associated metadata for Kilauea volcano's Puu Oo episode 61g lava flow from May 24, 2016 through May 31, 2017. Episode 61g began with a breakout from the east flank of Puu Oo on May 24, 2016. Lava reached the Pacific Ocean at Kamokuna on July 26, 2017, and began building a lava delta that extended seaward from the original coastline. This lava delta collapsed into the ocean on December 31, 2016, as reflected in the data for January 12, 2017 and thereafter. The episode 61g lava flow continues as of May 31, 2017, the date of the last mapping to contribute to this dataset.
One mapping date is included for each calendar month - usually late in the month - from May 2016 through May 2017, with two exceptions: two mapping dates are included for June 2016 to demonstrate the early expansion of the lava flow, and no mapping data were available for April 2017, so data from May 3, 2017 are included instead. Two shapefiles are associated with each mapping date: a polyline shapefile for the lava flow contacts with their attributes, and a polygon shapefile for the full extent of the lava flow on that date. In total, this dataset contains 28 shapefiles with associated metadata for 14 separate mapping dates. The lava flow contacts were mapped on the ground using GPS or digitized from images collected by a variety of aerial and satellite sources; the metadata include detailed descriptions of these sources.

Tags: episode-61g, flow-map, geologic-contacts, geologic-polygon, geology, hawaii, kilauea, map, puu-oo, usgs-597230e4e4b0ec1a4885edc1, volcano, volcanoes
Organization: Department of the Interior
Airborne electromagnetic and magnetic survey of Delaware Bay and surrounding regions of New Jersey and Delaware, 2022 (ver 2.0, April 2025)

Airborne electromagnetic (AEM) and magnetic survey data were collected during July and August 2022 over a distance of 3,588.5 line kilometers covering Delaware Bay and surrounding regions in New Jersey and Delaware. Data were collected as part of the USGS Delaware River Basin Next Generation Water Observing Systems (NGWOS) project to improve understanding of groundwater salinity distributions near Delaware Bay. The survey was primarily funded by the USGS, with partial support through collaboration with the University of Delaware to extend data collection to parts of Rehoboth Bay and Indian River Bay. Data were acquired by SkyTEM Canada Inc. with the SkyTEM 304M time-domain helicopter-borne electromagnetic system together with a Geometrics G822A cesium vapor magnetometer. The survey was acquired at a nominal flight height of 30 - 40 m above terrain along parallel flight lines primarily oriented southwest-northeast and with nominal line spacing of 500 m over land and nearshore, and 3000 m over open-water parts of Delaware Bay. Several irregular flightlines were acquired along, and perpendicular to, nearby rivers to capture salinity patterns along these hydrologic flowpaths. Version 2.0 includes additional processed AEM data and inverted resistivity models.

Tags: aeromagnetic-surveying, cape-may-county, cumberland-county, delaware, delaware-bay, delaware-river-basin, electromagnetic-surveying, environment, geology-geophysics-and-geochemistry-science-center, geophysics, geoscientificinformation, geospatial-datasets, gggsc, integrated-water-science, iws, kent-county, maryland-delaware-d-c-water-science-center, new-castle-county, new-jersey, new-jersey-water-science-center, next-generation-water-observing-system, ngwos, resistivity, salem-county, salinity, stratigraphic-thickness, sussex-county, usgs-59722284e4b0ec1a4885ed9d, water-resources
Organization: Department of the Interior
Water-Level Altitude and Long-term Water-Level Altitude Change Contours (2017) in the Chicot, Evangeline, and Jasper Aquifers in the Houston-Galveston Region, Texas.

The U.S. Geological Survey in cooperation with the Harris‐Galveston Subsidence District, City of Houston, Fort Bend Subsidence District, and Lone Star Groundwater Conservation District has produced this dataset of water‐level altitudes and water‐level altitude changes in the Chicot, Evangeline, and Jasper aquifers in the Houston‐Galveston region, Texas. This dataset shows current‐year (2017) water‐level altitudes for each aquifer, 5‐year (2012‐17) water‐level changes for each aquifer, long‐term (1990‐2017 and 1977‐2017) water‐level changes for the Chicot and Evangeline aquifers, and long‐term (2000‐2017) water‐level change for the Jasper aquifer. The water‐level measurements from which the dataset were built are stored in the National Water Information System: Web Interface, groundwater information, field measurements website located here: 
http://dx.doi.org/10.5066/F7P55KJN 
This site is a publicly available, searchable, online database of water information.

Tags: aquifer, brazoria-county, chambers-county, chicot-aquifer, elevation, evangeline-aquifer, fort-bend-county, galveston-county, grimes-county, groundwater, harris-county, hydrology, hypsometry, jasper-aquifer, liberty-county, montgomery-county, san-jacinto-county, subsidence, texas, usgs-5970c694e4b0d1f9f065c31d, walker-county, waller-county, water-level-altitude
Organization: Department of the Interior
Hawaiian Islands Coastal Vegetation Survey 2013-2015

This dataset provides information on the current status and various other habitat and descriptive attributes of the native coastal vegetation for seven of the main Hawaiian Islands (i.e., does not include Ni`ihau).

Tags: aerial-imagery, coastal-ecosystems, habitats, hawaii, kahoolawe, kauai, lanai, main-hawaiian-islands, maui, molokai, oahu, plant-communities, species-richness, status, usgs-596fd04ce4b0d1f9f06462a8, vegetation
Organization: Department of the Interior
Baseline data for a hydrological restoration of a mangrove forest near Goodland, Florida (2015 - 2017)

Mangrove restoration has a strong potential to enhance the services provided by coastal wetlands on a number of Department of the Interior (DOI) managed lands throughout the southeastern United States of America. Services include storm protection, water quality improvement, and biological carbon sequestration. Forest structural attributes including basal area, tree height, and stem density by species are used to calculate above ground biomass and above ground productivity. Percent cover is used to asses the forest canopy health. The data collected for the soils are: bulk density, percent total Nitrogen, percent total Carbon, and selected samples percent total Phosporus. The forest structure plots were placed in three zones; healthy, transition, and dead, along with a reference zone to compare how these plots change over time with the hydrologic restoration. These are pre-restoration measurements.

Tags: avicennia-germinans, bulk-density, carbon, collier-county, conocarpus-erectus, diameter-at-breast-height-dbh, florida, goodland, laguncularia-racemosa, mangrove, nitrogen, percent-cover, phosphorus, rhizophora-mangle, soils, spherical-densiometer, tree-height, usa, usgs-596f7ee6e4b0d1f9f0645f48
Organization: Department of the Interior
Water quality, quantity, and gas fluxes of the Upper Mississippi River basin (WY 2012-2016)

This product consists of one tabular dataset and associated metadata of water quality information related to rivers, streams, and reservoirs in the Upper Mississippi River watershed between 2012 and 2016. This data release is apart of a national assessment of freshwater aquatic carbon fluxes. Data consist of organic and inorganic carbon related species, carbon dioxide and methane gas fluxes calculated from manual chamber measurements, nitrogen species, carbon isotopes, oxygen isotopes, cations, anions, trace metals, and various in situ measurements including: pH, water temperature, air temperature, barometric pressure, dissolved oxygen, turbidity, fluorescent dissolved organic matter, and specific conductance. Sampling frequency varied across locations, with individual sites being sampled either once or on a quarterly basis.

Tags: alkalinity, anions, carbon-fluxes, cations, chippewa-river, climatologymeteorologyatmosphere, dissolved-inorganic-carbon, dissolved-organic-carbon, elevation, inland-aquatic-ecosystems, minnesota, minnesota-river, navigation-pool-8, nitrogen-species, st-croix-river, terrestrial-export, upper-mississippi-river-basin, usgs-596e6c39e4b0d1f9f062c8e9, utilitiescommunication, water-quality, water-quantity, water-resources, water-temperature, wisconsin
Organization: Department of the Interior
LANDFIRE Remap 2016 National Vegetation Classification (NVC) HI

LANDFIRE's (LF) National Vegetation Classification (NVC) represents the current distribution of vegetation groups within the U.S. National Vegetation Classification System ([version 2.0] http://usnvc.org/). Groups within the NVC hierarchy are defined as combinations of relatively narrow sets of diagnostic plant species, including dominants and co-dominants, broadly similar composition, and diagnostic growth forms. NVC groups are mapped using decision tree models informed by field reference data, Landsat imagery, elevation data, and biophysical gradient inputs. NVC models are developed separately for each lifeform, including sparse vegetation,  and for each Environmental Protection Agency (EPA) Level III Ecoregion (https://www.epa.gov/eco-research/ecoregions). Riparian, alpine, sparse and other site-specific EVTs are constrained by predetermined masks. Urban and developed areas are derived from the National Land Cover Database (NLCD), whereas agricultural lands originate from the Cropland Data Layer (CDL) and Common Land Unit (CLU) database. Developed ruderal classes are identified by combining wildland-urban-interface (WUI) data with population density information from the US Census Bureau. Annual Disturbance products are included to describe areas that have experienced landscape change within the previous 10-year period. NVC is reconciled through QA/QC measures to ensure lifeform is synchronized with both Existing Vegetation Cover (EVC) and Height (EVH) products.

Tags: biota, fires, geographic-information-systems, geospatial-datasets, hawaii, hazard-preparedness, hi, image-collections, imagerybasemapsearthcover, landfire-2016, landfire-remap, nvc, oconus, raster-digital-data, remote-sensing, u-s-forest-service-usfs, u-s-geological-survey-usgs, u-s-national-vegetation-classification-nvc, united-states, us, usgs-596e463f-6fb0-4903-bb2d-02455150f08f
Organization: Department of the Interior
Chemical Cues which Include Amino Acids Mediate Species-Specific Feeding Behavior in Invasive Filter-Feeding Bigheaded Carps-Data

This data was generated from a study in which five experiments were conducted that tested whether and how dissolved chemicals might assist food recognition in two filter-feeding fishes, the silver (Hypophthalmichthys molitrix) and the bighead carp (H. nobilis). The buccal-pharngeal pumping (BPP), a behavior in which fish pump water into their buccal cavities, was observed in both silver and bighead carps after exposure to a a variety of food filtrates and mixtures.  In addition, occlusion experiments to determine if the olfactory sense has a very important, but not exclusive, role in bigheaded carp feeding behaviors were conducted.

Tags: asain-carp, biota, filter-feeding, introduced-species, microphagy, olfaction, olfactory-stimuli, usgs-596e3499e4b0d1f9f062c3e9
Organization: Department of the Interior
USGS 2017 BRalston Ground Dwelling Arthropod Composition Data v3

These data were compiled from pitfall traps deployed at three sites, along a 25 kilometers (km) stretch of the Colorado River, immediately downstream of Glen Canyon Dam, in Glen Canyon National Recreation Area. Each site had both pre and post-dam riparian habitats present. The purpose of the sampling was to determine if arthropod abundance, diversity and feeding guilds differed between habitats. Sampling for ground-dwelling arthropods using pitfall traps occurred continuously between June 17 and September 9, 2009. The site numbering proceeds from Glen Canyon Dam to Lees Ferry. Transects were composed of 10 pitfall traps approximately 10 meters apart in a line parallel with the river in both zones (Upper riparian zone (pre-dam habitat) and Lower riparian zone (post-dam habitat). Sample processing of three target groups occurred in labs at Northern Arizona University (Coleoptera and Hymenoptera, mostly ants) and University of New Mexico (Class Arachnida, mostly spiders). Species were classified into one of four feeding guilds (omnivores, detritivores, predators, and herbivores) based on published characteristics reported at the level of genus or family.

Tags: ants, arachnida, arthropod-abundance, arthropod-sampling, coleoptera, colorado-river, detritivores, feeding-guilds, glen-canyon, glen-canyon-dam, glen-canyon-national-recreation-area, ground-dwelling-arthropods, herbivores, hymenoptera, lees-ferry, lower-riparian-zone, omnivores, pitfall-traps, post-dam-habitat, pre-dam-habitat, predators, regulated-river, riparian-habitats, transects, upper-riparian-zone, usgs-596d2678e4b0d1f9f06169c5
Organization: Department of the Interior
Magnetotelluric survey to characterize the Sunnyside Porphyry Copper System in the Patagonia Mountains, Arizona, station 4, 2010

This dataset includes the magnetotelluric (MT) sounding data collected in 2008 in and near the Patagonia Mountains of Arizona. The U.S. Geological Survey (USGS) conducted a series of multidisciplinary studies as part of the Assessment Techniques for Concealed Mineral Resources project funded by the USGS Minerals Resources Program in cooperation with the U.S. Forest Service.

Tags: apparent-resistivity, aquifer, arizona, cggsc, crustal-geophysics-and-geochemistry-science-center, cumero-canyon, electromagnetic-surveying, geophysics, geoscientificinformation, gps-measurement, groundwater, harshaw, hydrogeology, impedance, impedance-phase, impedance-strike, magnetic-field-earth, magnetic-surveying, magnetotelluric, mineral-resources-program, mount-hughes, mrp, mt, patagonia, patagonia-mountains, san-rafael-valley, san-rafael-valley-porphyry-copper-system, santa-cruz-county, sounding, sunnyside-porphyry-copper-system, time-series, tipper, usgs-596d2619e4b0d1f9f06169b9
Organization: Department of the Interior
Magnetotelluric survey to characterize the Sunnyside Porphyry Copper System in the Patagonia Mountains, Arizona, station 3, 2010

This dataset includes the magnetotelluric (MT) sounding data collected in 2008 in and near the Patagonia Mountains of Arizona. The U.S. Geological Survey (USGS) conducted a series of multidisciplinary studies as part of the Assessment Techniques for Concealed Mineral Resources project funded by the USGS Minerals Resources Program in cooperation with the U.S. Forest Service.

Tags: apparent-resistivity, aquifer, arizona, cggsc, crustal-geophysics-and-geochemistry-science-center, cumero-canyon, electromagnetic-surveying, geophysics, geoscientificinformation, gps-measurement, groundwater, harshaw, hydrogeology, impedance, impedance-phase, impedance-strike, magnetic-field-earth, magnetic-surveying, magnetotelluric, mineral-resources-program, mount-hughes, mrp, mt, patagonia, patagonia-mountains, san-rafael-valley, san-rafael-valley-porphyry-copper-system, santa-cruz-county, sounding, sunnyside-porphyry-copper-system, time-series, tipper, usgs-596d23a2e4b0d1f9f0616997
Organization: Department of the Interior
Magnetotelluric survey to characterize the Sunnyside Porphyry Copper System in the Patagonia Mountains, Arizona, station 1, 2010

This dataset includes the magnetotelluric (MT) sounding data collected in 2008 in and near the Patagonia Mountains of Arizona. The U.S. Geological Survey (USGS) conducted a series of multidisciplinary studies as part of the Assessment Techniques for Concealed Mineral Resources project funded by the USGS Minerals Resources Program in cooperation with the U.S. Forest Service.

Tags: apparent-resistivity, aquifer, arizona, cggsc, crustal-geophysics-and-geochemistry-science-center, cumero-canyon, electromagnetic-surveying, geophysics, geoscientificinformation, gps-measurement, groundwater, harshaw, hydrogeology, impedance, impedance-phase, impedance-strike, magnetic-field-earth, magnetic-surveying, magnetotelluric, mineral-resources-program, mount-hughes, mrp, mt, patagonia, san-rafael-valley-porphyry-copper-system, santa-cruz-county, sounding, sunnyside-porphyry-copper-system, time-series, tipper, usgs-596d1f09e4b0d1f9f0616970
Organization: Department of the Interior
Geospatial data for Luquillo Mountains, Puerto Rico: Mean annual precipitation, elevation, watershed outlines, and rain gage locations

These geospatial data sets were developed as part of a new analysis of all known current and historical rain gages in the Luquillo Mountains, Puerto Rico published in the journal article Murphy, S.F., Stallard, R.F., Scholl, M.A., Gonzalez, G., and Torres-Sanchez, A.J., 2017, Reassessing rainfall in the Luquillo Mountains, Puerto Rico: Local and global ecohydrological implications: PLOS One 12(7): e0180987, p. 1-26, https://doi.org/10.1371/journal.pone.0180987. That article provides a revised map of mean annual precipitation developed using elevation regression functions and residual interpolation, and that map is presented here in a raster file. Most previous forest- and watershed-wide estimates of precipitation (and evapotranspiration, as inferred by a water balance) have assumed that precipitation increases consistently with elevation in the Luquillo Mountains; therefore, precipitation in leeward Luquillo watersheds has been overestimated by up to 40%.Because the Luquillo Mountains often serve as a wet tropical archetype in global assessments of basic ecohydrological processes, these revised estimates are relevant to regional and global assessments of runoff efficiency, hydrologic effects of reforestation, geomorphic processes, and climate change.

Tags: caribbean-islands, climate-change, climatologymeteorologyatmosphere, cuchilla-el-duque, el-yunque-national-forest, elevation, elevation-rainfall-gradients, evaporation, field-inventory-and-monitoring, geoscientificinformation, hydrology, icacos-watershed, luquillo, mameyes-watershed, mountain-precipitation, pico-del-este, precipitation-atmospheric, puerto-rico, sonadora-watershed, tropical-atlantic, tropical-forest, usgs-596ce15ae4b0d1f9f061686e, water-budget, water-cycle, water-resources, windward-leeward
Organization: Department of the Interior
U.S. Geological Survey GAGES-II time series data from consistent sources of land use, water use, agriculture, timber activities, dam removals, and other historical anthropogenic influences

This product is a series of ten datasets containing tabular data from historical time series sources for the 9,067 conterminous United States sites in the U.S. Geological Survey (USGS) Geospatial Attributes of Gages for Evaluating Streamflow II (GAGES-II) dataset. The tables contain time-series data derived from consistent sources of agricultural commodities such as crop types, irrigation, and livestock (1950-2012), dam removals (1930-2013), imperviousness (1974-2012 and 2001-2011) and forest canopy (2011), land use (1974-2012 and 2001-2011),  estimated nutrients application from fertilizer and manure (1982 -2012), population and housing unit density (1940-2010), timber activities (1999-2012), water use (1985-2010), and dates of anthropogenic influences on flow recorded by USGS Water Science Centers.

Tags: census-of-agriculture, conterminous-u-s, crop-practices, fertilizer, forest-canopy, gages-ii, geographic-information-systems, geospatial-analysis, geospatial-datasets, housing, imperviousness, inlandwaters, land-use-change, manure, nitrogen-application, phosphorus-application, population-change, puerto-rico, riparian-canopy, trends, united-states, usgs-59692a64e4b0d1f9f05fbd39, water-use, watershed, watershed-boundaries
Organization: Department of the Interior