AndreaBozzo/ceres-open-data-index huggingface dataset:
Electrical resistivity tomography (ERT) data

Surface electrical resistivity tomography (ERT), electromagnetic induction (EMI), and self-potential (SP) data were acquired March 9 - 20, 2018 by the U.S. Geological Survey (USGS), in collaboration with the U.S. Army Corps of Engineers (USACE), at the Jim Woodruff Lock and Dam near Chattahoochee, Florida.  Eleven ERT profiles were acquired along the right (west) abutment, and immediately downstream, of the concrete, fixed-crest spillway located west of the lock to map geologic structure at depths up to 50 meters (m) using the Advanced Geosciences, Inc. SuperSting R8 resistivity meter. This data release includes the raw and processed resistivity data as well as inverted resistivity models. All are provided as digital data, and data fields for each file type are defined in the respective data dictionary (https://www.sciencebase.gov/catalog/item/5e101068e4b0b207aa163765). 
Jim Woodruff Lock and Dam is located on the Apalachicola River just south of the confluence of the Flint and Chattahoochee Rivers along the Florida-Georgia border. Construction was completed in 1954 and impounds Lake Seminole. The dam has a long history of excessive seepage along the right abutment and below the fixed-crest spillway. Several karst features have been mapped over the years including sinkholes, both on land and along the lake bottom, and disappearing and reappearing streams. Such features were excavated and grouted during construction. Despite years of investigation of the dam foundation, there remains uncertainty on the flowpaths of water below the fixed-crest spillway and along the adjacent right abutment.
REFERENCE
Abraham, J.D., Deszcz-Pan, M., Fitterman, D.V., and Burton, B.L., 2006, Use of a handheld broadband EM induction system for deriving resistivity depth images, in 19th Annual Symposium on the Application of Geophysics to Engineering and Environmental Problems, Seattle, Washington, April 2–6, 2006, 18 p.

Tags: apalachicola-river, chattahoochee, chattahoochee-river, dam, decatur-county, electrical-resistivity-imaging, electrical-resistivity-tomography, electromagnetic-induction, electromagnetic-surveying, electromagnetics, engineering-sciences, environment, ert-surveying, flint-river, florida, gadsden-county, geology-geophysics-and-geochemistry-science-center, geophysics, georgia, geoscientificinformation, geospatial-datasets, gggsc, groundwater, hydrogeology, jackson-county, jim-woodruff-lock-and-dam, karst, lake-seminole, polk-lake, resistivity, self-potential, sinkhole-formation, spontaneous-potential, surface-water-non-marine, suwannee-limestone, tampa-limestone, u-s-geological-survey, upper-floridan-aquifer, usgs, usgs-5e101068e4b0b207aa163765, water-resources
Organization: Department of the Interior
Electrical and electromagnetic geophysical surveys at Jim Woodruff Lock and Dam, Chattahoochee, Florida, March 2018

Surface electrical resistivity tomography (ERT), electromagnetic induction (EMI), and self-potential (SP) data were acquired March 9 - 20, 2018 by the U.S. Geological Survey, in collaboration with the U.S. Army Corps of Engineers, at the Jim Woodruff Lock and Dam near Chattahoochee, Florida.  Eleven ERT profiles were acquired along the right (west) abutment, and immediately downstream, of the concrete, fixed-crest spillway located west of the lock to map geologic structure at depths up to 50 meters (m) using the Advanced Geosciences, Inc. SuperSting R8 resistivity meter. Frequency-domain electromagnetic induction data were acquired along approximately 9 line-kilometers with the Geophex GEM-2 system to map variations in structure up to about 10 m in depth. Self-potential data were acquired at 384 unique stations with Borin Stelth 3 copper-copper sulfate porous-pot electrodes and Keysight U1253B high-impedance multimeter to identify variations in subsurface hydrologic flow. This data release includes raw data for all methods as well as processed data and/or inverted resistivity models. Digital data from all methods are provided, and data fields are defined in respective data dictionaries. 
Jim Woodruff Lock and Dam is located on the Apalachicola River just south of the confluence of the Flint and Chattahoochee Rivers along the Florida-Georgia border. Construction was completed in 1954 and impounds Lake Seminole. The dam has a long history of excessive seepage along the right abutment and below the fixed-crest spillway. Several karst features have been mapped over the years including sinkholes, both on land and along the lake bottom, and disappearing and reappearing streams. Such features were excavated and grouted during construction. Despite years of investigation of the dam foundation, there remains uncertainty on the flowpaths of water below the fixed-crest spillway and along the adjacent right abutment.

Tags: apalachicola-river, chattahoochee, chattahoochee-river, dam, decatur-county, electrical-resistivity-imaging, electrical-resistivity-tomography, electromagnetic-induction, electromagnetic-surveying, electromagnetics, engineering-sciences, environment, ert-surveying, flint-river, florida, gadsden-county, geology-geophysics-and-geochemistry-science-center, geophysics, georgia, geoscientificinformation, geospatial-datasets, gggsc, groundwater, hydrogeology, jackson-county, jim-woodruff-lock-and-dam, karst, lake-seminole, polk-lake, resistivity, self-potential, sinkhole-formation, spontaneous-potential, surface-water-non-marine, suwannee-limestone, tampa-limestone, u-s-geological-survey, upper-floridan-aquifer, usgs, usgs-5e100236e4b0b207aa163746, water-resources
Organization: Department of the Interior
High resolution earthquake catalogs from the 2018 Kilauea eruption sequence

The 2018 Kīlauea eruption and caldera collapse generated intense cycles of seismicity tied to repeated large seismic (Mw ~5) collapse events associated with magma withdrawal from beneath the summit.  To gain insight into the underlying dynamics and aid eruption response, we applied waveform-based earthquake detection and double-difference location as the eruption unfolded. Here, we augment these rapid results by grouping events based on patterns of correlation-derived phase polarities across the network.  From April 29 to August 6, bracketing the eruption, we used ~2800 events cataloged by the Hawaiian Volcano Observatory to detect and precisely locate 44,000+ earthquakes.  Resulting hypocentroids resolve complex, yet coherent structures, concentrated at shallow depths east of Halema‘uma‘u crater, beneath the eventual eastern perimeter of surface collapse.  Based on a preponderance of dilatational P-wave first motions and similarities with previously inferred dike structures, we hypothesize that failure was dominated by coupled shear and crack closure.

Tags: biota, earthquake-occurrences, kilauea, kilauea-crater, usgs-5e0f9406e4b0b207aa1558e0, volcanology
Organization: Department of the Interior
Green-Ampt infiltration modeling following wildfire in the Colorado Front Range, USA

This product is a Model Archive for Green-Ampt method infiltration modeling following wildfire in the Boulder Creek watershed, in the Colorado Front Range, USA. The models contained in this archive simulate infiltration and consequent runoff generation through 7 years of recovery following a wildfire in 2010. These simulations provide insight to changes in the timing of runoff generation that have implications for water quantity and quality following wildfire, with direct impacts on water supply.

Tags: usgs-5e0f8cc1e4b0b207aa151efb, wildfire-flash-flood-infiltration-green-ampt-fourmile-canyon-fire
Organization: Department of the Interior
Comparisons of Gambel's quail survey methods conducted in 2016 within the Mohave Desert of California with results and summaries

Data includes results collected in the Mohave Desert during 2016 using three survey methods (acoustic recording units, camera traps, and call-count surveys) to detect gamebirds, primarily Gambel's quail (Callipepla gambelii) but also including records of mourning dove (Zenaida macroura), Eurasian collared-dove (Streptopelia decaocto), and chukar (Alectoris chukar).  ARU data includes the Selections (portions of the recording identified as potentially containing a Gambel's quail call using a Band-Limited Energy Detector in Raven software version 1.5) and Detections (quail calls confirmed following audible and visual verification of the recording and spectrogram). ARU data provided is summarized into hourly segments where selections occurred among five study sites.  Camera trap data includes summary of the number of individuals and number of individual photos that game cameras recorded when deployed at four wildlife guzzlers for 5 species of animal that were detected: Gambel's quail, mourning dove, coyote (Canis latrans), Agassiz's desert tortoise (Gopherus agassizii), and red-tailed hawk (Buteo jamaicensis).  Call-count data consists of individual station visit records, including non-detections, among 10 roadside transects containing 12 equally spaced survey stations and include time of detection, estimated distance and direction to the call/observation and number of individuals detected (primarily related to visual detections).

Tags: biota, mohave-national-preserve, riverside-east-solar-energy-zone-sez, transect-sampling, usgs-5e0f79e8e4b0b207aa146d11, video-monitoring, vocalization-methods, wildlife-biology
Organization: Department of the Interior
Soil Water Balance (SWB) Model of Keyport, Washington.

This archive documents a Soil Water Balance (SWB) model of the Naval Base at Keyport, Washington and immediate surrounding environs.  The SWB model is used to estimate surface processes of a water budget including precipitation, interception, evapotranspiration, surface runoff, etc.) for the Keyport area during January 1980 - December 2015.

Tags: biota, groundwater, keyport, recharge, usgs-5e0e70f9e4b0b207aa13792e, washington, water-budget
Organization: Department of the Interior
Interpretation Showing the Distribution of Sea-Floor Sedimentary Environments in Quicks Hole, MA (H11076_SEDENV.SHP, Geographic)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and the Massachusetts Office of Coastal Zone Management (MA CZM), is producing detailed geologic maps of the coastal sea floor. Imagery, originally collected by NOAA for charting purposes, provide a fundamental framework for research and management activities along this part of the Massachusetts coastline, show the composition and terrain of the seabed, and provide information on sediment transport and benthic habitat. Interpretive data layers were derived from multibeam echo-sounder and sidescan sonar data collected in the vicinity of Quicks Hole, a passage through the Elizabeth Islands that extend in a chain southwestward off Cape Cod, Massachusetts.  In June 2005, bottom photographs and surficial sediment data were acquired as part of a ground-truth reconaissance survey.

Tags: atlantic-ocean, cape-cod, cmgp, coarse-bedload-transport, coastal-and-marine-geology-program, deposition, elizabeth-islands, erosion, field-activity-number-05007, geoscientificinformation, geospatial-datasets, h11076, interpretation, massachusetts, national-oceanic-and-atmospheric-administration, new-england, noaa, noaa-survey-h11076, nondeposition, north-america, ocean-processes, oceans, open-file-report-2006-1357, quicks-hole, reworking, scientific-interpretation, sea-floor-characteristics, sediment-transport, sedimentary-environments, shapefile, sorting, u-s-east-coast, u-s-geological-survey, united-states, usgs, usgs-5e0c4a33-3409-48f0-9976-668ee273368c, whsc, woods-hole-science-center
Organization: Department of the Interior
Data release for tracking rates of post-fire conifer regeneration distinct from deciduous vegetation recovery across the western U.S.

Post-fire shifts in vegetation composition will have broad ecological impacts. However, information characterizing post-fire recovery patterns and their drivers are lacking over large spatial extents. In this analysis we used Landsat imagery collected when snow cover (SCS) was present, in combination with growing season (GS) imagery, to distinguish evergreen vegetation from deciduous vegetation. We sought to (1) characterize patterns in the rate of post-fire, dual season Normalized Difference Vegetation Index (NDVI) across the region, (2) relate remotely sensed patterns to field-measured patterns of re-vegetation, and (3) identify seasonally-specific drivers of post-fire rates of NDVI recovery. Rates of post-fire NDVI recovery were calculated for both the GS and SCS for more than 12,500 burned points across the western United States. Points were partitioned into faster and slower rates of NDVI recovery using thresholds derived from field plot data (n=230) and their associated rates of NDVI recovery. We found plots with conifer saplings had significantly higher SCS NDVI recovery rates relative to plots without conifer saplings, while plots with ≥50% grass/forbs/shrubs cover had significantly higher GS NDVI recovery rates relative to plots with &lt;50%. GS rates of NDVI recovery were best predicted by burn severity and anomalies in post-fire maximum temperature. SCS NDVI recovery rates were best explained by aridity and growing degree days. This study is the most extensive effort, to date, to track post-fire forest recovery across the western U.S. Isolating patterns and drivers of evergreen recovery from deciduous recovery will enable improved characterization of forest ecological condition across large spatial scales.

Tags: arizona, california, colorado, douglas-fir, engelmann-spruce, forest-fire, idaho, landsat, lodgepole-pine, montana, ndvi, nevada, oregon, pinyon-pine, recovery, resiliency, rocky-mountains, sierra-nevada-mountains, succession, usgs-5e0ba605e4b0b207aa0f7ea2, utah, washington, wildfire, wyoming
Organization: Department of the Interior
True color aerial imagery from unmanned aerial systems (UAS) flights: Potomac River in Point of Rocks, Maryland on October 24, 2019

These digital images were taken over an area of the Potomac River in Point of Rocks, Maryland using 3DR Solo unmanned aircraft systems (UAS) on October 24, 2019. These images were collected for the purpose of evaluating UAS assessment of river habitat data such as water depth, substrate type, and water clarity. Each UAS was equipped with a Ricoh GRII digital camera for natural color photos, used to produce digital elevation models and ortho images. Some photographs contain black and white targets used as ground control points (GCPs), which were surveyed by a field crew with a high-precision (GNSS) Global Navigation Satellite System and/or containing internal post processing kinematic (PPK) GPS system. This data release includes the original true color images from the Ricoh GRII digital camera of the Potomac River in Point of Rocks, Maryland.

Tags: 3dr-solo-quadcopter, aerial-images, aerial-photography, airborne-imagery, drone, geoscientificinformation, geospatial-datasets, ground-control-point, image-collections, jpeg-images, location, low-altitude-aerial-imagery, maryland, photographs, photos, point-of-rocks, potomac-river, remote-sensing, rgb, ricoh-grii, targets, u-s-geological-survey, uas, unmanned-aerial-system, usa, usgs, usgs-5e138a0ae4b0ecf25c53b3e8
Organization: Department of the Interior
Poultry Feeding Operations on the Delaware, Maryland, and Virginia Peninsula from 2016 to 2017

Data release contains two shapefiles related to poultry houses on the Delmarva Peninsula (Delaware, Eastern Shore Maryland and, Eastern Shore Virginia).  One dataset is a polygon shapefile representing 6013 poultry houses identified using 2016 and 2017 aerial imagery from the U.S. Department of Agricultures National Aerial Imagery Program (NAIP).  The second dataset is a point shapefile of inactive houses which displayed similar characteristics to the active houses except were overgrown or in a state of disrepair (in some cases only the building's footprint remains).

Tags: cafo, chesapeake-bay, chicken, delaware, delmarva, eastern-shore-maryland, eastern-shore-virginia, farming, inlandwaters, maryland, poultry, poultry-houses, usgs-5e0a3fcde4b0b207aa0d794e, virginia
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 -- Contours for the base of the Floridan aquifer system

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 contour lines generated 
from the base of Floridan aquifer system raster.

Tags: alabama, environment, florida, floridan-aquifer-system, geology, georgia, geoscientificinformation, hydrogeology, inlandwaters, regional-groundwater-availability-study, south-carolina, stratigraphy, united-states-geological-survey, usgs, usgs-5e0a2407-e0fa-4ef0-90fb-62f762b8cd48
Organization: Department of the Interior
Multispectral aerial imagery from unmanned aerial systems (UAS) flights: Potomac River in White's Ferry, Maryland on October 23, 2019

These digital images were taken over an area of the Potomac River in White's Ferry, Maryland using 3DR Solo unmanned aircraft systems (UAS) on October 23, 2019. These images were collected for the purpose of evaluating UAS assessment of river habitat data such as water depth, substrate type, and water clarity. Each UAS was equipped with a MicaSense RedEdge multi-spectral camera that captures five specific bands of the visible spectrum (blue, green, red, red edge, and near-infrared), which can be used to classify vegetation. Some photographs contain black and white targets used as ground control points (GCPs), which were surveyed by a field crew with a high-precision (GNSS) Global Navigation Satellite System and/or containing internal post processing kinematic (PPK) GPS system. This data release includes the original images from the MicaSense RedEdge multi-spectral camera of the Potomac River in White's Ferry, Maryland.

Tags: 3dr-solo-quadcopter, aerial-images, aerial-photography, airborne-imagery, drone, geoscientificinformation, geospatial-datasets, ground-control-point, image-collections, location, low-altitude-aerial-imagery, maryland, micasense-rededge, near-infrared, nir, photographs, photos, potomac-river, rededge, remote-sensing, targets, tiff-images, u-s-geological-survey, uas, unmanned-aerial-system, usa, usgs, usgs-5e0a23fde4b0b207aa0d560d, whites-ferry
Organization: Department of the Interior
Radiometric thermal aerial imagery from unmanned aerial systems (UAS) flights: Potomac River in White's Ferry, Maryland on October 23, 2019

These digital images were taken over an area of the Potomac River in White's Ferry, Maryland using 3DR Solo unmanned aircraft systems (UAS) on October 23, 2019. These images were collected for the purpose of evaluating UAS assessment of river habitat data such as water depth, substrate type, and water clarity. Each UAS was equipped with a FLIR Vue Pro R 640 13mm radiometric thermal camera that provides temperature data embedded in every pixel. Some photographs contain black and white targets used as ground control points (GCPs), which were surveyed by a field crew with a high-precision (GNSS) Global Navigation Satellite System and/or containing internal post processing kinematic (PPK) GPS system. This data release includes the original images from FLIR Vue Pro R 640 13mm radiometric thermal camera of the Potomac River in White's Ferry, Maryland.

Tags: 3dr-solo-quadcopter, aerial-images, aerial-photography, airborne-imagery, drone, flir, flir-vue-pro-r-640-13mm, geoscientificinformation, geospatial-datasets, ground-control-point, image-collections, location, low-altitude-aerial-imagery, maryland, photographs, photos, potomac-river, radiometric-thermal, remote-sensing, targets, tiff-images, u-s-geological-survey, uas, unmanned-aerial-system, usa, usgs, usgs-5e0a23f7e4b0b207aa0d560b, whites-ferry
Organization: Department of the Interior
Target-Chemical Concentrations in Landfill Leachate and Wastewater Treatment Influent and Effluent

Concentration results and quality assurance for pharmaceutical, hormone, and per- and polyfluorinated alkyl substances (PFAS) analyzed in landfill leachate and wastewater influent and effluent.  Samples were collected between July and October 2016, using U.S. Geological Survey field methods.  Water-quality samples for pharmaceutical and hormone compounds (reported in nanograms per liter; ng/L) were analyzed at the U.S. Geological Survey, National Water Quality Laboratory in Denver, Colorado.  Samples for PFAS compounds (reported in ng/L) were analyzed at the Oregon State University Environmental and Molecular Toxicology Field Laboratory, College of Agricultural Sciences.

Tags: biota, hormone-compounds, landfill-leachate, per-and-polyfluorinated-alkyl-substances-pfas, pharmaceutical-compounds, usgs-5e27206ee4b014c85308fbb7, wastewater
Organization: Department of the Interior
Electrical resistivity tomography data collected near a groundwater replenishment and reuse project, Yucca Valley, San Bernardino County, California, 2019

Hi-Desert Water District (HDWD) is constructing a wastewater treatment plant as part of a groundwater replenishment and reuse project (GRRP) in the east hydrogeologic unit (Nishikawa, and others, 2003) of the Warren Valley Basin (7-012) (California Department of Water Resources, 2016) in Yucca Valley, CA. The HDWD plans to use reclaimed wastewater for managed aquifer recharge by spreading treated wastewater into unlined ponds at the GRRP facility. Reclaimed wastewater will percolate through the unsaturated alluvium by gravity drainage through the unsaturated zone to the water table located about 370 feet (ft) below land surface (bls). As part of the cooperative efforts between the HDWD and the USGS, the electrical resistivity tomography (ERT) geophysical surveying technique was proposed to monitor the movement of reclaimed wastewater through the unsaturated zone to the water table. This data release presents ERT data collected before water was placed into the ponds. Data from two ERT surveys (YVHDWW_L1 and YVHDWW_L2) were collected in May and September of 2019 to determine background resistivity values for the unsaturated alluvium south of the GRRP facility prior to recharge. The surveys were collected normal to each other and located downslope from the GRRP facility. This location was chosen in order to collect resistivity data in anticipation of movement of recharged water downslope through the unsaturated zone.

Tags: california, electrical-resistivity-imaging, environment, geophysics, geoscientificinformation, groundwater, groundwater-flow, joshua-tree-north, san-bernardino-county, usgs-5e2f8655e4b0a79317d423cc, yucca-valley-north
Organization: Department of the Interior