AndreaBozzo/ceres-open-data-index huggingface dataset:
Airborne Electromagnetic (AEM) Survey in Southwest and Southeast Areas, Wisconsin, 2022

Airborne electromagnetic (AEM) and magnetic survey data were collected during March 2022 over a distance of 2,574.6 line kilometers in southeast and southwest Wisconsin. These data were collected in support of an effort to improve estimates of depth to bedrock through a collaborative project between the U.S. Geological Survey (USGS), Wisconsin Department of Agriculture, Trade, and Consumer Protection (DATCP), and Wisconsin Geological and Natural History Survey (WGNHS). 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 meters (m) above terrain. AEM data were inverted to produce models of electrical resistivity along flight paths, with typical depth of investigation up to about 400 m and 1 - 2 m near-surface resolution.

Tags: aeromagnetic-surveying, crawford-county, dane-county, electromagnetic-surveying, environment, geology-geophysics-and-geochemistry-science-center, geophysics, geoscientificinformation, geospatial-datasets, gggsc, grant-county, green-county, iowa-county, jefferson-county, kenosha-county, lafayette-county, racine-county, resistivity, stratigraphic-thickness, umid-wsc, upper-midwest-water-science-center, usgs-636c0b28d34ed907bf6abb14, walworth-county, waukesha-county, wisconsin
Organization: Department of the Interior
Development and optimization of  species-specific qPCR assays for eDNA detection of the mucket (Ortamannia ligamentina) and spectaclecase (Cumberlandia monodonta) mussels’ male mitotype

This dataset describes the sensitivity (limit of detection and limit of quantification) and specificity (list of species tested against the assays) of two qPCR assays designed to detect the male mitotype of two freshwater mussel species Ortmanniana ligamentina  and Cumberlandia monodonta from water samples (eDNA).

Tags: biota, boone-county-missouri, columbia-environmental-research-center, environmental-dna, mollusks, polymerase-chain-reaction, usgs-66d1cb43d34ebebd6af05eb4
Organization: Department of the Interior
Volatile Organic Compounds (VOCs) at the Amargosa Desert Research Site (ADRS) 1999 to 2016

These data comprise the target  and non-target VOC measurements collected from 1999 to 2016 from the shallow and deep unsaturated zone at the Amargosa Desert Research Site adjacent to a low-level radio­active waste and hazardous chemical waste facility near Beatty, Nevada.  All data are compiled in electronic text files that are included with this release.

Tags: amargosa-desert, contaminant-transport, mojave-desert, nevada, nye-county, unsaturated-zone, usgs-5c928716e4b09388245756e7, volatile-organic-compounds
Organization: Department of the Interior
Cape Canaveral, Florida, multibeam bathymetry collected in 2016 by Coastal Carolina University: Processed GeoTIFF Image

A geophysical survey was conducted offshore Cape Canaveral, Florida by Coastal Carolina University offshore of Cape Canaveral, Florida using high-resolution chirp sub-bottom, multibeam bathymetry and side scan sonar (SSS) systems on June 13, 14, 16, and 17 of 2016. This USGS data release includes the resulting processed elevation point data (xyz), an interpolated digital elevation model (DEM), with processed backscatter, side scan sonar, and seismic chirp data.

Tags: backscatter, bathymetry, cape-canaveral, cmgp, coastal-and-marine-geology-program, coastal-carolina-university, coastal-location, digital-elevation-models, elevation, em3002d, epipelagic, florida, geophysical, geophysics, geoscientificinformation, hydrography, imagerybasemapsearthcover, location, marine-geology, multibeam-sonar, ocean-characteristics, ocean-processes, oceans, sea-surface, seafloor-mapping, spcmsc, st-petersburg-coastal-and-marine-science-center, u-s-geological-survey, usgs, usgs-d98dd20c-d1da-4410-beba-35b9c2d16da0
Organization: Department of the Interior
Hydrologic Data Sites for Juab County, Utah

This map shows the USGS (United States Geologic Survey), NWIS (National
Water Inventory System) Hydrologic Data Sites for Juab County, Utah.
		
The scope and purpose of NWIS is defined on the web site:
		
http://water.usgs.gov/public/pubs/FS/FS-027-98/

Tags: altitude, environment, estuary, geoscientificinformation, hole-depth, hydrologic-data-site, inlandwaters, juab, juab-county, lake, reservoir, spring, state-of-utah, stream, usgs-60ed5806-eb0a-435e-b63a-99314fb7a8f3, utah, water-use, well, well-depth
Organization: Department of the Interior
Astrogeology Science Center Monthly Report, November 1970

Monthly report to show updates on highlights and noteworthy results, publications, conferences and scientific meetings, talks or papers presented, visitors, and mapping progress tables. Includes unpublished works and works in progress.

Tags: astrogeology, astrogeology-branch-history, branch-history, geoscientificinformation, planetary-sciences, usgs-6312916dd34e36012efa17f7
Organization: Department of the Interior
Benthic-macroinvertebrate and habitat data in Chester, Delaware, and Philadelphia Counties, Pennsylvania, 1998-2021 (ver. 2.0, September 2025)

The Stream Conditions of Chester County Biological Monitoring Network was established by the U.S. Geological Survey and the Chester County Water Resources Authority in 1969. Benthic-macroinvertebrate, habitat, and stream chemistry data were collected annually from 1998-2021 at 18 fixed location sites. Additionally, nine flexible location sites were selected and sampled annually from 1998-2021. Some of the flexible location sites were sampled more than once over the study period. All data were collected in the fall months (October-December) during baseflow conditions. The benthic-macroinvertebrate data collected was used to calculate six metrics and to establish an index of biotic integrity for each sample, while the habitat data was compiled to create a habitat score for each site and sample date. Three data files in .xlsx and .txt formats include: (1) the type and count of benthic macroinvertebrates in each sample, (2) the total number of organisms in the sample, the six calculated benthic-macroinvertebrate metrics, and the overall index of biotic integrity, and (3) the ten measured habitat characteristics and the overall habitat score for each site and date. The associated stream chemistry data collected for each site and date can be downloaded from the U.S. Geological Survey's National Water Information System.
First release: September 2023 (available from author) 
Revised: September 2025 (ver. 2.0)

Tags: biota, chester-county, delaware-county, habitats, macroinvertebrates, pennsylvania, philadelphia-county, usgs-64304ffad34ee8d4add5bb61, water-quality
Organization: Department of the Interior
Seafloor character, 2 m resolution--Monterey Canyon and Vicinity, California

This part of DS 781 presents the seafloor-character map of Monterey Canyon and Vicinity, California. The raster data file is included in "SeafloorCharacter_2m_MontereyCanyon.zip," which is accessible from https://doi.org/10.3133/ds781. These data accompany the pamphlet and map sheets of Dartnell, P., Maier, K.L., Erdey, M.D., Dieter, B.E., Golden, N.E., Johnson, S.Y., Hartwell, S.R., Cochrane, G.R., Ritchie, A.C., Finlayson, D.P., Kvitek, R.G., Sliter, R.W., Greene, H.G., Davenport, C.W., Endris, C.A., and Krigsman, L.M. (P. Dartnell and S.A. Cochran, eds.), 2016, California State Waters Map Series—Monterey Canyon and Vicinity, California: U.S. Geological Survey Open-File Report 2016–1072, 48 p., 10 sheets, scale 1:24,000, https://doi.org/10.3133/ofr20161072.
This raster-format seafloor character map shows five substrate classes in Monterey Canyon and Vicinity, California. The substrate classes mapped in this area have been further divided into the following California Marine Life Protection Act depth zones and slope classes: Depth Zone 2 (intertidal to 30 m), Depth Zone 3 (30 to 100 m), Depth Zone 4 (100 to 200 m), Slope Class 1 (0 degrees - 5 degrees), and Slope Class 2 (5 degrees - 30 degrees). Depth Zone 1 (intertidal), Depth Zone 5 (greater than 200 m), and Slopes Classes 3-4 (greater than 30 degrees) are not present in the region covered by this block. The map is created using a supervised classification method described by Cochrane (2008), with multibeam echosounder (MBES) bathymetry and backscatter data collected and processed between 1998 and 2014, along with ground-truth verification from underwater video and sediment samples.
Reference Cited:
Cochrane, G.R., 2008, Video-supervised classification of sonar data for mapping seafloor habitat, in Reynolds, J.R., and Greene, H.G., eds., Marine habitat mapping technology for Alaska: Fairbanks, University of Alaska, Alaska Sea Grant College Program, p. 185-194, accessed April 5, 2011, at http://doc.nprb.org/web/research/research%20pubs/615_habitat_mapping_workshop/Individual%20Chapters%20High-Res/Ch13%20Cochrane.pdf.

Tags: acoustic-reflectivity, bathymetry, cmgp, coastal-and-marine-geology-program, continental-island-shelf, distributions, environment, geoscientificinformation, geospatial-datasets, image-mosaics, imagerybasemapsearthcover, interferometric-sonar, maps-and-atlases, marine-geophysics, marine-nearshore-subtidal, marine-offshore-subtidal, monterey-county, moss-landing, multibeam-echo-sounder, oceans, pacific-coastal-and-marine-science-center, pacific-ocean, pcmsc, physical-habitats-and-geomorphology, rock-substrate, sea-floor-acoustic-reflectivity, sea-floor-characteristics, seabed, seafloor-topography, sonar-methods, state-of-california, transform-continental-margin, u-s-geological-survey, unconsolidated-mineral-substrate, usgs, usgs-556f92cae4b0d9246a9fd0c2
Organization: Department of the Interior
XBeach Bottom Friction Scenarios: Model Inputs and Results for Hurricane Ivan Default Friction Scenario

Using the numerical model XBeach version 4926 (Roelvink and others, 2009), various bottom friction scenarios were simulated for hurricanes Ivan (2004) and Katrina (2005) at Dauphin Island, Alabama as described in Passeri and others, 2018. The XBeach model setup requires the input of a merged topographic and bathymetric digital elevation model (DEM), and inputs of wave spectra (based on significant wave height, peak wave period and wave direction) and water level (tide and surge) time series. Model inputs and outputs in the form of topography and bathymetry are provided in this data release. For further information regarding model input generation and visualization of model output topography and bathymetry, refer to Passeri and others, 2018.

Tags: alabama, barrier-island, bathymetry, bottom-friction, coastal, dauphin-island, digital-elevation-models, elevation, estuaries, geomorphology, geoscientificinformation, gulf-of-mexico, hurricane-ivan, marine-geology, marine-sediment-transport, morphologic-change, north-america, oceans, spcmsc, st-petersburg-coastal-and-marine-science-center, storm-impact, surge, tide, topography, u-s-geological-survey, united-states, usgs, usgs-f9181eef-2288-4d95-8506-ff3c6a08580a
Organization: Department of the Interior
CoSMoS 3.2 Northern California sub-regional tier 3 2D XBeach model input files

This data set consists of 2D XBeach model input files used for Coastal Storm Modeling System (CoSMoS) sub-regional tier 3 simulations. Sub-regional tier 3 simulations cover portions of the Northern California open-coast region for Humboldt and Del Norte Counties, and they provide final modeled hazard outputs going into projected hazard products. Simulations are run for several storm events (covering a range of no storm, 1-year, 20-year, and 100-year coastal storm conditions) and sea-level scenarios.

Tags: beaches, cmhrp, coastal-and-marine-hazards-and-resources-program, del-norte-county, earth-sciences, erosion, extreme-weather, floods, hazards-planning, humboldt-county, mathematical-modeling, northern-california, northern-california-coast, ocean-currents, ocean-waves, ocean-winds, oceans, pacific-coastal-and-marine-science-center, pcmsc, predictions, state-of-california, storm-surge, storms, tides, u-s-geological-survey, usgs, usgs-6621b3c9d34e7eb9eb7f96c1, water-depth, waves, wind
Organization: Department of the Interior
Surrogate regression model data for estimating nitrate concentrations at six springs in Gooding County, south-central, Idaho

Endangered Banbury Springs limpet and threatened Bliss Rapids snail populations in springs along the Snake River in southern Gooding County, south-central Idaho, are declining. To protect these species, the U.S. Fish and Wildlife Service (USFWS) needs to understand what affects the species' habitat such as aquatic vegetation, associated with elevated nitrate concentrations in the springs. In cooperation with the USFWS, the U.S. Geological Survey developed surrogate regression models to estimate nitrate concentration using specific conductance, day of the year, and streamflow as potential explanatory variables. These surrogate models provide a cheaper alternative than measuring nitrate concentrations directly, through discrete sampling, or continuous monitoring via nitrate sensor equipped sonde. The spring surrogate regression models showed that specific conductance can be an effective surrogate for nitrate in springs affected by agriculture and that the model results improved when streamflow data were included. The spring surrogate regression models vary in their ability to estimate nitrate concentration. All the surrogate regression models are included in this data release with the associated USGS Scientific Investigations Report describing the best surrogate regression models to use at each spring.

Tags: box-canyon-spring, briggs-spring, environmental-surrogates, field-monitoring-stations, gooding, groundwater, hatchery-springs, hydrology, idaho, mid-snake, niagara-springs, nutrient-content, regression-analysis, snake-river, snake-river-plain-basaltic-rock-aquifers, surface-water, usgs-63dbfa58d34e9fa19a98a102, water-quality
Organization: Department of the Interior
Histopathology of little brown bats (Myotis lucifugus) collected from a maternity roost in Leelanau County, Michigan, USA, in June 2014

This work is part of a study investigating the movement of microcystin from aquatic to terrestrial ecosystems via trophic transfer. Little brown bats (Myotis lucifugus), feeding opportunistically on aquatic insects including Hexagenia mayflies, were collected from a maternity roost near Little Traverse Lake (Leelanau County, Michigan, USA). Bats and fecal samples were collected for dietary analysis, quantification of microcystin in livers and feces, and histopathological evaluation of the liver. Liver was collected in RNAlater and stored frozen. Livers from three bats with the highest microcystin levels by ELISA were thawed, washed with PBS, fixed in 10% neutral buffered formalin, processed routinely for histopathology, and assessed by light microscopy. Microscopic lesions included centrilobular congestion, periportal to midzonal hepatocellular vacuolation, and low numbers of portal inflammatory cells. These changes are non-specific; no evidence of acute microcystin toxicosis was present. Results suggest that despite the detection of microcystin in bat feces from the site, there is no evidence of acute clinical toxicity in the bats collected.

Tags: algal-toxin, biota, hepatotoxin, hexagenia, microcystin, microcystis-aeruginosa, myotis-lucifugus, usgs-61a681d5d34eb622f6978d34
Organization: Department of the Interior
Estimated public-supply water withdrawals in Puerto Rico, 2018

This data release consists of Microsoft Excel workbooks related to a cooperative project between the U.S. Geological Survey (USGS) and the Puerto Rico Aqueduct and Sewer Authority (PRASA) to estimate public-supply water withdrawals for the year 2018.
Daily raw-water inflow volume to each PRASA water-treatment plant and water pumped from PRASA public-supply wells on the island in 2018, as well as coordinate information for these facilities were provided by PRASA. The raw data are not publicly available owing to restrictions (sensitivity concern). Contact PRASA directly for more information. Per capita water use derived from domestic-delivery data for 2016 was used to estimate withdrawals from non-PRASA community water supply systems for 2018 due to The lack of of domestic-delivery data for this year. This choice does not likely introduce major errors in the total island-wide water withdrawals as non-PRASA withdrawals are on the order of 1–2 percent of the total withdrawals. The total annual volume withdrawn from PRASA and non-PRASA public-supply wells and surface-water intakes was aggregated by municipality and PRASA public water system identification (PWSID) to obtain total surface-water and groundwater withdrawals for PRASA and non-PRASA systems.
In 2018, the total amount of public-supply water withdrawn in Puerto Rico was estimated at 593 million gallons per day (Mgal/d) from freshwater sources. Surface-water withdrawals accounted for 533 Mgal/d (90 percent) and groundwater withdrawals accounted for 60 Mgal/d (10 percent).
Disclaimer: In estimating public-supply withdrawals for 2016 and prior years, surface-water withdrawals for each PRASA water treatment plant (WTP) were assigned to a single intake location. For 2017-20, surface-water withdrawals for each PRASA water treatment plant have been split up across multiple intakes based on information provided by PRASA in 2022. This may have affected the total withdrawals by municipality and PWSID. For this reason, we discourage evaluating trends and making comparisons at the municipality and PWSID level between 2017–20 and previous years.

Tags: domestic-water-use, environment, inlandwaters, public-supply, usgs-6408d0c4d34e76f5f75e4a52, water-use, water-withdrawals, withdrawals
Organization: Department of the Interior
Wind rose plots for the volcano: 322070  Three Sisters

This zip folder contains ASCII text files of vectors at the specified volcano at 
12-hour intervals, 
from January 1, 1990 through December 28, 2009.  
The wind vectors are divided into five files, names by their elevation range above 
sea level in the atmosphere: 00-05km.txt; 05-11km.txt; 11-16km.txt; 16-24km.txt; 
and 24-30km.txt. 
The zip folder also contains a subfolder "figures", with Wind rose plots of wind 
direction and speed over 
this time period.  The plots are by season, and by elevation, given a total of 20 
plots (4 seasons, 5 
elevation ranges).  A summary plot is also included which gives the year-round 
wind pattern at the volcano, 
at 0-5 km elevation.  Plots are in both jpg and pdf format.

Tags: meteorology, usgs-58d015e3e4b0236b68f53011, volcanic-ash, volcanic-eruption-forecasting, wind
Organization: Department of the Interior
LANDFIRE Remap Scott and Burgan Fire Behavior Fuel Model (FBFM40) Micronesia

LANDFIRE’s (LF) 2016 Remap (Remap) Scott and Burgan Fire Behavior Fuel Model 40 (FBFM40) product represents distinct distributions of fuel loadings found among surface fuel components (live and dead), size classes, and fuel types (Scott &amp; Burgan 2005). The fuel models are described by the most common fire carrying fuel type (grass, brush, timber, or slash), loading and surface area-to-volume ratio by size class and component, fuel bed depth, and moisture of extinction. FBFM40 contains more fuel models for every fuel type than Anderson Fire Behavior Fuel Model 13 (FBFM13), and the number of fuel models representing relatively High dead fuel moisture content is increased. In FBFM40 fuel models with an herbaceous component are dynamic, to simulate curing, rather than remaining constant. 
LF Remap used vegetation products and 10-years of disturbance data to create Fuel Vegetation Type (FVT), Fuel Vegetation Cover (FVC), and Fuel Vegetation Height (FVH) for disturbed areas to represent pre-disturbance scenarios in FBFM40. A combination of pre-disturbance and non-disturbance Existing Vegetation Type (EVT) are used to assign surface fuel models. FBFM40 was developed using the most recent 10 years of Annual Disturbance products and is a capable fuels product that calculates Time Since Disturbance (TSD) assignments for disturbed areas using an "effective year." For example, year 2020 fuels may be calculated for the year 2020. the new process considers all the existing disturbances included in LF Remap and adjusts the TSD for these to the effective year (2020 in the example), making the products "2020 capable fuels." More information about capable fuels can be found at https://www.landfire.gov/lf_remap.php.

Tags: biota, fbfm, fbfm40, federated-states-of-micronesia, fire-behavior-fuel-model-40, fires, geographic-information-systems, geospatial-datasets, hazard-preparedness, ia, image-collections, imagerybasemapsearthcover, insular-areas, landfire-2016-remap, lf-2016-remap, micronesia, oconus, raster-digital-data, remote-sensing, scott-and-burgan-fire-behavior-fuel-model, u-s-forest-service-usfs, u-s-geological-survey-usgs, united-states, us, usgs-e8425959-ceaa-4125-9332-326ff1bdf55c
Organization: Department of the Interior
Hawaiʻi Ambrosia Beetle Direct ROD Transmission 2018-2022 (ver. 2.0, April 2023)

This release includes data and metadata (1-2) documenting visitation of ambrosia beetles (Coleoptera: Curculionidae) to healthy ʻōhiʻa (Metrosideros polymorpha) trees in two separate experiments, (3) geographical location and details of the trees used in the experiments, (4) culture of the fungal pathogens Ceratocystis lukuohia and Ceratocystis huliohia from naturally and experimentally infected ambrosia beetles, and (5) experimental transmission of the pathogens to healthy ʻōhiʻa seedlings by multiple species of ambrosia beetles.  Data were used in the manuscript titled, "Ambrosia beetles (Coleoptera: Curculionidae) can directly transmit the fungal pathogens responsible for Rapid ʻŌhiʻa Death." This version of this data release contains an additional child item that was inadvertently omitted from the original release. 
First posted - December 13, 2022.
Revised - April 4, 2023 (version 2.0 - contains all data from original release, plus one additional dataset)

Tags: ambrosia-beetle, biota, ceratocystis, invasive-species, rapid-ohia-death, usgs-63753eead34ed907bf6cedcb
Organization: Department of the Interior