AndreaBozzo/ceres-open-data-index huggingface dataset:
Residue concentrations of veterinary antibiotics and estrogens in mesocosms containing field soil collected from the University of Missouri Bradford Research and Extension Center (Columbia, MO) on July 28 2019

These five datasets document 1. physical and chemical soil properties for mesocosm soil that was collected from an experimental vegetated buffer strip plot; 2. Corrected final data for veterinary antibiotic target compound residues in treated soil mesocosms at various incubation times; 3. Corrected final data for all veterinary antibiotic target compound residues in untreated soil mesocosm blank samples at various incubation times; 4. Corrected final data for estrogen target compound residues in treated soil mesocosms at various incubation times; and 5. Corrected final data for all estrogen target compound residues in untreated soil mesocosm blank samples at various incubation times.

Tags: agriculture, antibiotic-residues, benzoxazinoids, boone-county-missouri, claypan-soils, contamination-and-pollution, environment, estradiol, estrogens, estrone, lincomycin, soil-chemistry, soil-resources, sulfamethazine, university-of-missouri-bradford-research-and-extension-center, usgs-654a996ed34ee4b6e05c27a0, veterinary-antibiotics
Organization: Department of the Interior
LANDFIRE Annual Disturbance AK 2022

LANDFIRE's (LF) Annual Disturbance products provide temporal and spatial information related to landscape change. Annual Disturbance depicts areas of 4.5 hectares (11 acres) or larger that have experienced a natural or anthropogenic landscape change (or treatment) within a given year. For the creation of the Annual Disturbance product, information sources include national fire mapping programs such as Monitoring Trends in Burn Severity (MTBS), Burned Area Reflectance Classification (BARC) and Rapid Assessment of Vegetation Condition after Wildfire (RAVG), 18 types of agency-contributed "event" perimeters (see LF Public Events Geodatabase), and remotely sensed Landsat imagery.  
To create the LF Annual Disturbance products, individual Landsat scenes are stacked and made into composites representing the 50th percentile of all stacked pixels (band-by-band) to reduce data gaps caused by clouds or other anomalies. Composite imagery from the specified mapping year, the two prior years, and the following year serve as the base data from which change products such as the Normalized Differenced Vegetation Index (dNDVI), the Normalized Burn Ratio (dNBR), and the Multi-Index Integrated Change Algorithm (MIICA) (Jin et al. 2013) are derived. Image analysts collectively use these datasets (separately or in combination) to isolate the true change from false change (commission errors). False changes can be attributed to many anomalies but are mostly caused by differences in annual or seasonal phenology, and/or artifacts in the image composites. 
Fire-caused disturbances sourced from MTBS may contain data gaps where clouds obscure the full burn scar from being mapped. Models trained from pre-fire and post-fire Landsat data are used to fill these gaps. The result is gap-free continuous severity and extent information for all MTBS fire disturbances. MTBS pixels derived from gap filling techniques, such as modeling, are noted as such in the Annual Disturbance attribute table. Smaller fires that do not meet the size criteria set forth by MTBS may be attributed using Burned Area (BA), informed from Landsat Level-3 science products and only available in the lower 48 states. Causality and severity information assigned to a disturbance are prioritized by source, with the highest priorities reserved for fire mapping programs (MTBS, BARC, and RAVG) followed by user-contributed events contained in the LF Events Geodatabase, and lastly, Landsat image-based change.

Tags: ak, alaska, annual-disturbance, annual-disturbance-2022, biota, fires, geographic-information-systems, geospatial-datasets, hazard-preparedness, image-collections, imagerybasemapsearthcover, landfire-2022, lf-2022, oconus, raster-digital-data, remote-sensing, u-s-forest-service-usfs, u-s-geological-survey-usgs, united-states, us, usgs-654a9657d34ee4b6e05c278e, yearly-disturbance
Organization: Department of the Interior
NASA GIFT Iceland Highlands: 2019 and 2021 Askja Ground Penetrating Radar (GPR) and Observations

This data collection includes ground-penetrating radar (GPR) data and related observations collected from the NASA Goddard Instrument Field Team (GIFT) Expedition to the Icelandic Highlands in July-August 2019 and August 2021. This dataset includes observations at the Askja Volcano and caldera and Vikrahraun lava flow. GPR data were collected using Geophysical Survey Systems, Inc (GSSI) shielded bistatic antennas at center frequencies of 200 MHz, 400 MHz, and 900 MHz. Common offset surveys were conducted to investigate the subsurface interfaces. The GPR data includes raw data obtained from the instrument (as GSSI .dzt files), line shapefiles of survey locations, and interpreted ice thickness GeoPackage files with radar picks of subsurface interfaces. Also included is a context orthoimage generated from uncrewed aerial system (UAS) images over the GPR site in 2021. A high-level readme file is provided that further describes the datasets.

Tags: askja, caldera, geophysics, geoscientificinformation, ground-penetrating-radar, iceland, intra-caldera, permafrost, pumice, pyroclastic, usgs-654bfa63d34ee4b6e05c2c3b, volcanic-ash, volcanology
Organization: Department of the Interior
GIS Data for Geologic Maps of Ravalli Group and Other Mesoproterozoic Belt Supergroup Strata Based on Mapping by ASARCO in Northern Idaho and Northwestern Montana

The data release for geologic maps of Ravalli Group and other Mesoproterozoic Belt Supergroup strata in northern Idaho and northwestern Montana is a digital, Geologic Map Schema (GeMS)-compliant version of maps published in U.S. Geological Survey (USGS) Open-File Report 2001-438 (Boleneus and others, 2001). The new digital data include attribute tables and geospatial features (points, lines, and polygons) in the format that meets GeMS requirements. This data release presents the geologic maps as shown on the plates and captured in geospatial data for the published maps.
The database represents the geology for the 2.7 million acre, geologically complex study area in eleven plates at a publication scale of 1:48,000, and two plates at a publication scale of 1:12,000. The maps cover primarily Sanders, Shoshone, Kootenai, and Lincoln Counties, but also include minor parts of Benewah and Bonner Counties. Geologic mapping was undertaken between 1979 and 1984 by ASARCO Inc. as part of their program to explore for sediment-hosted stratiform copper deposits in northern Idaho and western Montana. Geologic mapping was primarily focused on formations of the Ravalli Group, which resulted in large unmapped areas within the map boundary. In 2001 maps were scanned, georeferenced, and published by USGS (Boleneus and others, 2001).
Boleneus, D.E., Applegate, L.M., Joseph, N.L., and Brandt, T.R., 2001, Raster Images of Geologic Maps of Middle Proterozoic Belt strata in parts of Benewah, Bonner, Kootenai and Shoshone Counties, Idaho and Lincoln, Mineral and Sanders Counties, Montana: U.S. Geological Survey Open-File Report OF-2001-438, scales 1:48,000 and 1:12,000, https://doi.org/10.3133/ofr2001438.

Tags: bedrock-geologic-units, benewah-county, bonner-county, copper, gems, geochemistry, geographic-information-systems, geologic-map-schema, geologic-maps, geology, geology-geophysics-and-geochemistry-science-center, geoscientificinformation, geospatial-datasets, gggsc, id, idaho, kootenai-county, lead, lincoln-county, mesoproterozoic, mineral-county, mineral-resources-program, montana, mrp, mt, national-geologic-map-database, ngmdb, sanders-county, shoshone-county, silver, structural-geology, u-s-geological-survey, usgs, usgs-654a73bbd34ee4b6e05c25d4, zinc
Organization: Department of the Interior
Ephemeral Stream Channel Stability Data from the Grand Valley, Western Colorado, 2018-21

This U.S. Geological Survey (USGS) data release provides the data used to predict areas with the greatest probability of ephemeral stream channel instability on north side of the Grand Valley in western Colorado, during 2018-20. The USGS developed a method for automatically extracting channel cross-section geometry from existing remotely sensed terrain models. Based on estimated flood stage and surrogate streamflows, hydraulic characteristics were calculated. The channel geometries and hydraulic characteristics were used to estimate channel stability using a statistical model. Cross-section stabilities were determined from a stream channel stability assessment for a subset of 1,406 visited (field observed) locations out of a needed 13,415 cross sections, which were delineated from remotely sensed terrain models. Specifically, this data release includes delineated stream channels, automatically extracted cross-section profiles, survey data, estimated stream flows, Manning roughness coefficients, digital images, channel geometry characteristics and hydraulics, and channel stabilities. This data release contains subset entity zipped folders, each contains a specific metadata file.

Tags: channel-stability, colorado, environment, ephemeral-streams, grand-valley, logistic-regression, salinity, united-states, usgs-654a7325d34ee4b6e05c25c7
Organization: Department of the Interior
Zooplankton Data for Cheney Reservoir near Cheney, Kansas, October 2008 through October 2022 (ver. 2.0, November 2023)

This U.S. Geological Survey (USGS) data release provides zooplankton data collected from Cheney Reservoir, Kansas, during October 2008 through October 2022. All data are reported as raw calculated values and are not rounded to USGS significant figures. This data release was produced in compliance with the open data requirements as a way to make scientific products associated with USGS research efforts and publications available to the public. The dataset includes all routine and quality assurance/quality control samples collected at the long-term sampling site on Cheney Reservoir located near the dam (USGS station identification number 07144790). Zooplankton were identified to the lowest possible taxonomic level and abundance (density) and biomass are reported.

Tags: aquatic-biology, cheney-reservoir, freshwater, genus, hydrology, invertebrates, lake, limnology, phylum, reservoir, species, surface-water-quality, taxonomy, usgs-654941a8d34ee4b6e05c22ea, usgs-station-id-07144790, water-quality-data, zooplankton
Organization: Department of the Interior
Digital Surface Models (DSMs) of the Kajaki Dam, Afghanistan, Derived from 1952 Fairchild aerial photography and 2006 SPOT-5 HRG satellite imagery

This study applied historical aerial imagery and satellite imagery to create digital surface models (DSMs) of the Helmand River Valley situated in southwestern Afghanistan. The historical imagery, collected in 1952 by Fairchild Aerial Surveys Incorporated (FAS), at 1:40,000 scale, represents the earliest known aerial photographic archive of the Helmand Valley landscape. Structure-from-motion (SfM) multi-view stereo (MVS) photogrammetric techniques were used together with ground control points collected from high resolution satellite imagery to create a 5m digital elevation model (DEM) and 2m orthoimage. The historical DEM was evaluated for accuracy against a 2006 5m DEM using SPOT-5 HRG satellite imagery which was generated through stereo-autocorrelation techniques. The extraction of these historic data products are significant because they characterize the terrain and land cover of the valley at the time of the Kajaki (or Kajakai) Dam construction and prior to the expanding reservoir. Moreover, this study serves as one of a select few applications wherein historical imagery and DSMs derived from SfM techniques fill the gap of geospatial data prior to the era of satellite imagery coverage. The outputs of this study offer a glimpse into the Helmand Valley’s landscape, waterscape, and elevation in the 1950s, providing a digital historical dataset that can be used in present day research.

Tags: afghanistan, digital-elevation-model, elevation, helmand-valley, historical-aerial-imagery, kajaki-dam, photogrammetry, structure-from-motion, usgs-65492056d34ee4b6e05c220c
Organization: Department of the Interior
Three-Dimensional Delineation of the Pierre Shale Bedrock From Electrical Resistivity Surveys Conducted in Two Areas of Interest Within and Near Ellsworth Air Force Base, South Dakota, 2022

In 2022, the USGS, in cooperation with the U.S. Air Force Civil Engineer Center (USAF/CEC), performed geophysical surveys at two areas of interest within and near Ellsworth Air Force Base (EAFB) to delineate the Cretaceous Pierre Shale bedrock. Electrical resistivity tomography (ERT) data were collected in two grid patterns using the dipole-dipole array within and near EAFB and site information—including latitude, longitude, and elevation—were surveyed along geophysical transects comprising the grids using real-time kinematic (RTK) techniques. The purpose of collecting ERT data in grids rather than along individual transects was to create three-dimensional (3D) surfaces of the bedrock, which improve site characterization by providing higher resolution images of the bedrock compared to transects that provide only two-dimensional (2D) information. ERT data were processed using EarthImager2D software from Advanced Geosciences, Inc. (https://www.agiusa.com/agi-earthimager-2d) to remove noisy measurements and produce subsurface electrical resistivity profiles. Monitoring wells and soil borings with depth to bedrock information from the South Dakota Department of Agriculture and Natural Resources and Ellsworth Air Force Base were combined with subsurface electrical resistivity profiles to delineate the bedrock surface elevation along each transect in the grids. After bedrock delineation was completed, interpolation techniques were used to construct three-dimensional bedrock elevation surfaces for each grid. 
Unprocessed and processed geophysical are provided in zipped folders (.zip) as machine- and user-readable files with accompanying text files that explains the content of each file. Site information from RTK surveys, bedrock delineation results along each transect in the two grids, and monitoring wells or soil borings used to aid delineation are included as comma-separated values (.csv) files.

Tags: electrical-resistivity-tomography, ellsworth-air-force-base, environment, geophysics, geoscientificinformation, meade-county, pennington-county, south-dakota, usgs-65491a03d34ee4b6e05c21ef
Organization: Department of the Interior
Seismic Reflection Profiles Imaging the Seattle Fault Zone Beneath West Seattle, Central Seattle, and Mercer Island, Washington State, 2005-2008

The U.S. Geological Survey, with funding from the National Earthquakes Hazard Reduction Program, collected ~24 km of north-south trending land-based P-wave seismic reflection profiles gathered across three urban areas in Seattle, Washington: West Seattle, central Seattle, and Mercer Island. The West Seattle profiles were collected with an accelerated weight drop source and 8 Hz vertical component geophone sensors at 5 m spacing along 47th Ave, 44th Ave, 42nd Ave, 39th Ave, and Walnut Ave. The central Seattle profiles were collected with a Minivib I source and 8-Hz vertical component geophone sensors at 5 m spacing along 13th St and Beacon Way. The Mercer Island profiles were collected with a Minivib III source and 8-Hz vertical component geophone sensors at 5 m spacing along 78th Ave SE, 90th Ave SE, 86th Ave SE, and 84th Ave SE. All data are archived in the EarthScope Data Management Center (DMC) in SEGY format. Reports associated with the field records include experiment descriptions and observers logs for each profile. Station location information is in the SEGY file headers. The coordinates are in UTM Zone 10 N with the WGS84 datum. The field records and reports of the West Seattle profiles are available from the DMC, dataset #14-062,  https://ds.iris.edu/mda/14-062/. The central Seattle data are at DMC, dataset #14-038, https://ds.iris.edu/mda/14-038/. The Mercer Island data are at DMC, dataset #15-001,  https://ds.iris.edu/mda/15-001/.  
Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.

Tags: central-seattle, earthquake-hazard, geophysics, geoscientificinformation, mercer-island, seattle-fault-zone, usgs-65454ce0d34ee4b6e05bff5f, washington-state, west-seattle
Organization: Department of the Interior
Presence and cover data for 36 plant species and associated environmental data from the Colorado River downstream of Glen Canyon Dam from 2016 to 2020

These data were collected to evaluate the cover and composition of native and nonnative vascular plant species within the riparian zone of the Colorado River from Glen Canyon Dam to the historic high-water line of Lake Mead, approximately 240 river miles downstream of Lees Ferry. The overall objective of the ongoing study these data were collected for is to determine how plant cover and composition change over time in response to the operation of Glen Canyon Dam. This includes evaluating how plants respond to climate and other environmental factors, so that the effects of Glen Canyon Dam can be determined. These data represent 36 of the most common plant species observed in sample frames, estimates of how much aerial cover those plants have, and estimates of environmental variables associated with the sample frames. These data were collected from the riparian zone along the Colorado River between Lees Ferry, AZ and the confluence of the Colorado River and Diamond Creek, AZ. Data were collected in August and September for the years 2016, 2017, 2018, 2019, and 2020. These data were collected by the U.S. Geological Survey Grand Canyon Monitoring and Research Center riparian plant program. These data are a combination of field observations and data downloaded from other sources. These data can be used to understand the general distributions of the 36 plant species in the study area at a given time and their change in cover and composition over time. These data are particularly suited to determine the environmental variables that are most related to the cover and occurrence of these 36 plant species.

Tags: arizona, biogeography, biota, botany, colorado-river, cover-class-data, data-release, datasets, diamond-creek, ecology, ecosystem-monitoring, environmental-factors, evolution, field-inventory-and-monitoring, field-methods, functional-group, glen-canyon-dam, grand-canyon, growth-form, inlandwaters, land-use-and-land-cover, lees-ferry, long-term-ecological-monitoring, marble-canyon, native-species, nonindigenous-species, observer-comparison-data, plant-composition, plants-organisms, presence-absence-data, quadrat, riparian-plants, usgs-65453ffcd34ee4b6e05bff06, vascular-plants, vegetation, wetland-ecosystems
Organization: Department of the Interior
Magnetic susceptibility and density measurements in the Wet Mountains, Colorado, 2022 to 2023

The U.S. Geological Survey (USGS) collected rock magnetic susceptibility and density measurements to understand the causative sources of airborne magnetic and ground gravity survey anomalies in the Wet Mountains, Colorado. A total of 609 magnetic susceptibility and 86 density measurements were collected from outcrops and hand samples, respectively, from July 2022 to June 2023. These measurements aid the interpretation of newly collected geophysical data to identify concealed Ediacaran-Ordovician alkaline igneous features and potential rare earth element deposits. On average, 16 magnetic susceptibility and 4 density measurements were taken from each outcrop/hand sample to best represent the lithology.  Outcrop/sample lithology was derived from field observations and previously published maps noted in the supplemental information section of the metadata file. Measurement locations were recorded using a handheld Global Position System.

Tags: bulk-density, colorado, custer-county, earth-mapping-resources-initiative, earth-mri, fremont-county, geology-geophysics-and-geochemistry-science-center, geoscientificinformation, gggsc, magnetic-susceptibility, magnetic-susceptibility-analysis, mineral-resources-program, mrp, u-s-geological-survey, usgs, usgs-654526d0d34ee4b6e05bfd77
Organization: Department of the Interior
Gravity data in the Wet Mountains area, southcentral Colorado, 2023

The U.S. Geological Survey collected ground gravity data as part of a helicopter reconnaissance campaign of the Democrat Creek alkaline complex and Deer Peak quadrangle in the Wet Mountains, Colorado. A total of 60 measurements were collected using a LaCoste and Romberg gravity meter. High accuracy geographic coordinates and elevations were collected using a survey grade Leica GS16 differential GPS system. These data supplement existing public gravity data to aid in the interpretation of a newly collected, high-resolution airborne magnetic survey (Grauch et al., 2023).
Grauch, V.J.S., Anderson, E.D., Brown, P.J., and Allen Langhans, A.D., 2023, Airborne magnetic and radiometric survey of the Wet Mountains and surrounding region, Custer and Fremont Counties, south-central Colorado, 2021: U.S. Geological Survey data release, https://doi.org/10.5066/P9PISI0X.

Tags: bouguer-anomaly, colorado, custer-county, earth-mapping-resources-initiative, earth-mri, free-air-anomaly, fremont-county, geology-geophysics-and-geochemistry-science-center, geoscientificinformation, gggsc, gravimeter-measurement, gravitational-field-earth, isostatic-anomaly, lacoste-romberg-gravimeter, mineral-resources-program, mrp, u-s-geological-survey, usgs, usgs-65441a6ed34ee4b6e05bee6c
Organization: Department of the Interior
Method development for determination of trace amounts of silicon in hydrofluoric acid digests of biological samples and lung biopsy tissues by ICP-MS

A method was described for determination of trace levels of silicon by inductively coupled plasma mass spectrometry (ICP-MS) from hydrofluoric (HF) digests of biological samples. The volatility of silicon in HF digests was examined with synthetic solutions as well as soil and mine waste samples. A digestion scheme was optimized to achieve complete dissolution, avoid loss of volatile silicon species and produce sample solutions that can be directly analyzed by ICP-MS. The performance of the method performance was validated by analysis of a number plant and tissue certified reference materials for silicon by ICP-MS. The method was then applied to the determination of silicon from lung biopsy tissues obtained from military personnel and coal miners.

Tags: digestion, elemental-analysis, environment, geology-geophysics-and-geochemistry-science-center, gggsc, health, inductively-coupled-plasma-spectrometry, lung-tissue, method-development, mineral-resources-program, mrp, silicon, usgs-65440eebd34ee4b6e05bee4a
Organization: Department of the Interior