AndreaBozzo/ceres-open-data-index huggingface dataset:
Geospatial Dataset for the Geologic Framework and Hydrostratigraphy of the Edwards and Trinity Aquifers within Northern Medina County, Texas at 1:24,000

This data release supports the U.S. Geological Survey Scientific Investigation Map (SIM) by Clark and others (2020) by documenting the data used to create the geologic maps and describe geologic framework and hydrostratigraphy of the Edwards and Trinity aquifers for a 442 square-mile area in northern Medina County in south Texas. The karstic Edwards and Trinity aquifers that are the subject of the SIM by Clark and others (2020) are classified as major sources of water in south-central Texas by the Texas Water Development Board (George and others, 2011). The geologic framework and hydrostratigraphy of the Edwards and Trinity aquifers largely control groundwater-flow paths and storage in northern Medina County (Kuniasky and Ardis, 2004). The data provided in this data release and the detailed maps and descriptions of the geologic framework and hydrostratigraphy in Clark and others (2020) are intended to help provide water managers information that is useful for effectively managing available groundwater resources in the study area.
These digital data accompany Clark, A.K., Morris, R.E., and Pedraza, D.E., 2020, Geologic framework and hydrostratigraphy of the Edwards and Trinity aquifers within northern Medina County, Texas: U.S. Geological Survey Scientific Investigations Map 3461, 13 p. pamphlet, 1 pl., scale 1:24,000, https://doi.org/10.3133/sim3461.

Tags: austin-group, devils-river-limestone, devils-river-trend, digitization, diversion-lake, eagle-ford-group, edwards-aquifer, edwards-group, geography, geologic-contacts, geologic-maps, geology, geoscientificinformation, geospatial-datasets, glen-rose-limestone, groundwater, haby-crossing-fault, hondo, hondo-creek, hydrogeology, hydrostratigraphy, kainer-formation, karst, maverick-basin, medina-county, medina-lake, medina-lake-fault, medina-river, parker-creek-fault, person-formation, porosity, san-marcos-platform, seco-creek, stratigraphic-thickness, stratigraphy, surficial-geologic-units, taylor-group, texas, trinity-aquifer, trinity-group, usgs-5eab03d582cefae35a2254b1, verde-creek, washita-group, woodard-cave-fault
Organization: Department of the Interior
Habitat and biological assemblage data from streams within Tribal lands of the Pearl River Community of the Mississippi Band of Choctaw Indians, 2017-18

This data release contains habitat survey data (quantitative and qualitative) and biological assemblage data (periphyton, macroinvertebrate, and fish) collected among 8 stream sites within the Tribal lands of the Pearl River Community of the Mississippi Band of Choctaw Indians (MBCI). The MBCI is a Federally recognized Native American Tribe and the Pearl River Community, located near Philadelphia, Mississippi, is responsible for protecting the quality of surface waters from point and non-point sources of pollution and restoring waters considered impaired of their designated use. The MBCI cooperated with the U.S. Geological Survey (USGS) to conduct a baseline study at select stream sites within and contiguous to the Pearl River Community. For the current version of this data release, habitat and biological surveys were conducted between February 2017 to August 2018.

Tags: algae, aquatic-community, biota, diatoms, farming, field-sampling, fish, habitat, inlandwaters, macroinvertebrates, mississippi, pearl-river-community-of-the-mississippi-band-of-choctaw-indians, periphyton, philadelphia-ms, river, usgs-5eaae7d082cefae35a225438
Organization: Department of the Interior
Monthly rollup of discrete and daily-aligned groundwater levels, metadata, and other attributes useful for statistical modeling for the Mississippi River Valley Alluvial aquifer, Mississippi Alluvial Plain, 1980–2019

Monthly rollup of the discrete and daily-aligned groundwater levels were created from Robinson, Asquith, and Seanor (2020) data products with removal of the paired groundwater and surface-water sites listed by Robinson, Killian, and Asquith (2020). The monthly rollup is composed of (1) computed monthly "mean" values regardless of whether a well had one measurement in the month or up to about 30 days of daily-mean values, (2) standard deviation of the water levels within the month (sample size is generally just one day but for recorder sites could be up to about 30 days), (3) the last water level in the month, and (4) monthly counts of water levels. The algorithm is available within the sources of visGWDBmrva (Asquith and others, 2019). A comment is made that the string 1980-01-01_2019-12-31 is retained in the file naming to parallel that for Robinson, Asquith, and Seanor (2020) files although the day of the month has no meaning for a monthly rollup. There are 18,736 unique wells of statistics; 18,736 wells in the metadata; and 107,568 year-month entries in the monthly rollup product.
References:
Asquith, W.H., Seanor, R.C., McGuire, V.L. (contributor), and Kress, W.H. (contributor), 2019, Source code in R to quality assure, plot, summarize, interpolate, and extend groundwater-level information, visGWDB—Groundwater-level informatics with demonstration for the Mississippi River Valley alluvial aquifer: U.S. Geological Survey software release, Reston, Va., https://doi.org/10.5066/P9W004O6.

Tags: arkansas, ground-water, groundwater, groundwater-levels, illinois, kentucky, louisiana, map, mississippi, mississippi-alluvial-plain, mississippi-river-valley-alluvial-aquifer, missouri, tennessee, usgs-5eaad04682cefae35a224cab
Organization: Department of the Interior
Discrete and daily-aligned groundwater levels, metadata, and other attributes useful for statistical modeling for the Mississippi River Valley Alluvial aquifer, Mississippi Alluvial Plain, 1980–2019

A combination of discrete and daily-aligned groundwater levels for the Mississippi River Valley alluvial aquifer clipped to the Mississippi Alluvial Plain, as defined by Painter and Westerman (2018), with corresponding metadata are based on processing of U.S. Geological Survey National Water Information System (NWIS) (U.S. Geological Survey, 2020) data. The processing was made after retrieval using aggregation and filtering through the infoGW2visGWDB software (Asquith and Seanor, 2019). The nomenclature GWmaster mimics that of the output from infoGW2visGWDB. Two separate data retrievals for NWIS were made. First, the discrete data were retrieved, and second, continuous records from recorder sites with daily-mean or other daily statistics codes were retrieved. Each dataset was separately passed through the infoGW2visGWDB software to create a "GWmaster discrete" and "GWmaster continuous" and these tables were combined and then sorted on the site identifier and date to form the data products described herein. A sweep through the combined dataset (the "database") was made to isolate duplicate observations, or observations for the same well and on the same day. If a discrete value was present, it was retained as authoritative for the day and in descending order of priority daily-mean, daily-maximum, and daily minimum. Therefore, only a single record for a well and day are present in the dataset. The duplicate search removed 876 records and 31 wells were involved; in total, this is about 0.3 percent of the database.
References:
Asquith, W.H., Seanor, R.C., 2019, infoGW2visGWDB—An R groundwater data-processing utility for manipulating, checking the veracity, and converting an "infoGW" object to the "GWmaster" object for the visGWDB software with demonstration for the Mississippi River Valley alluvial aquifer: U.S. Geological Survey software release, Reston, Va., https://doi.org/10.5066/P9MK0B6L.
Painter, J.A., and Westerman, D.A., 2018. Mississippi Alluvial Plain extent, November 2017: U.S. Geological Survey data release, https://doi.org/10.5066/F70R9NMJ.
U.S. Geological Survey, 2020, USGS water data for the Nation: U.S. Geological Survey National Water Information System database, accessed April 2, 2020, at https://doi.org/10.5066/F7P55KJN.

Tags: arkansas, ground-water, groundwater, illinois, inlandwaters, kentucky, louisiana, map, mississippi, mississippi-alluvial-plain, mississippi-river-valley-alluvial-aquifer, missouri, tennessee, usgs-5eaad00c82cefae35a224ca8
Organization: Department of the Interior
Environmental-tracer modeling to support hydrogeochemical evaluation of the Fountain Creek Alluvial Aquifer, El Paso County, Colorado, 2018-2019

This data release contains environmental tracer concentrations, modeled recharge conditions (water temperature, excess air), and resulting estimated groundwater residence times. This dataset supports an integrated hydrogeochemical investigation of solute sources, groundwater recharge processes, and groundwater flow in the Fountain Creek alluvial aquifer.
The data release contains five comma separated value (CSV) files. The CSV files contain the model inputs (gas and tracer concentrations) and the model outputs (simulated recharge temperature, excess air, apparent groundwater age, and mean groundwater residence time). Data were collected in cooperation with the U.S. Air Force Civil Engineering Center.

Tags: colorado, colorado-springs, el-paso-county, environment, fountain-creek, geoscientificinformation, groundwater-and-surface-water-interaction, groundwater-flow, hydrology, inlandwaters, noble-gas-elements, usgs-5eaa21dd82cefae35a21ecf5
Organization: Department of the Interior
Description, dates, and locations of lava samples collected during the Pu‘u‘ō‘ō (1983–2018) and summit lava lake (2008–2018) eruptions of Kīlauea Volcano, Island of Hawai‘i. U.S. Geological Survey data release.

This data release contains information about the lava samples that were collected during two volcanic eruptions of Kīlauea Volcano, Island of Hawai‘i. The first eruption occurred from 1983 to 2018 at Pu‘u‘ō‘ō and the second occurred contemporaneously from 2008 to 2018 at the summit lava lake. The data release provides a comprehensive list of lava samples that are currently stored in the physical sample archive of the Hawaiian Volcano Observatory (HVO).
The information in the data release includes details about the sampling sites and how the samples were collected. Most of the samples were collected to study the pre-eruptive chemistry and petrology of the magma that fed the eruption and to track its changes over time. Therefore, most samples are water or air quenched-lavas that were collected as close to the eruptive vent as possible.
It is important to note that this data release does not include any analytical results of chemical analyses. It only provides metadata about the sampling events and the samples themselves.

Tags: biota, geochemistry, usgs-5eaa15c182cefae35a21ece9, volcanology
Organization: Department of the Interior
Low-altitude visible, multispectral, and thermal-infrared imagery from edge-of-field monitoring sites for Great Lakes Restoration Initiative - Wisconsin Surface Water 3

These orthophotos and digital surface model (DSM) were derived from low-altitude (approximately 92-m above ground surface) images collected from Unmanned Aerial System (UAS) flights over edge-of-field sites that are part of U.S. Geological Survey (USGS) Great Lakes Restoration Initiative (GLRI) monitoring.  The objective of this UAS photogrammetry data collection was to provide information on the tile-drain network in individual fields with the goal of understanding already observed patterns in runoff amount and water quality from these sites.  A 3DR Solo quadcopter served as the flight vehicle, flights were pre-planned using Mission Planner, and flights were flown using Tower.  Geospatial data were originally in WGS84 and projected to a local coordinate system for each site.  Visible color (Vis-C) imagery was collected with a Ricoh GRII as a single band.  Multispectral (MS) imagery was collected with a MicaSense RedEdge 3 as five co-located bands:  blue (B; approximately 475-500 nanometers [nm]), green (G; 550-560 nm), red (R; 660-670 nm), red-edge (710-720 nm), and near infrared (NIR; 820-860 nm).  Thermal-infrared (TIR) data were collected using a FLIR Vue Pro R 640 camera with an uncooled vanadium oxide microbolometer and a 13-mm lens.  Images were collected at 2-second intervals, with a flight speed of 9 meters per second (m/s), 7 m/s, or 5 m/s (visible, multispectral, thermal, respectively) with approximately 75% overlap between sequential images and 70% sidelap between adjacent flight lines.  Cameras used local time for visible and thermal imagery collection but Coordinated Universal Time (UTC) for multispectral imagery collection. Photogrammetry to integrate the individual images into an orthophoto and digital surface model (for visible imagery) was done using Agisoft Metashape.

Tags: agriculture, anthropocene, brown-county, great-lakes, holocene, multispectral-imaging, orthophotographs, thermal-imaging, unmanned-aircraft-systems, usgs-5ea9da1382cefae35a21de02, visible-light-imaging, wisconsin
Organization: Department of the Interior
Low-altitude visible, multispectral, and thermal-infrared imagery from edge-of-field monitoring sites for Great Lakes Restoration Initiative - Wisconsin Bioreactor

These orthophotos and digital surface model (DSM) were derived from low-altitude (approximately 92-m above ground surface) images collected from Unmanned Aerial System (UAS) flights over edge-of-field sites that are part of U.S. Geological Survey (USGS) Great Lakes Restoration Initiative (GLRI) monitoring.  The objective of this UAS photogrammetry data collection was to provide information on the tile-drain network in individual fields with the goal of understanding already observed patterns in runoff amount and water quality from these sites.  A 3DR Solo quadcopter served as the flight vehicle, flights were pre-planned using Mission Planner, and flights were flown using Tower.  Geospatial data were originally in WGS84 and projected to a local coordinate system for each site.  Visible color (Vis-C) imagery was collected with a Ricoh GRII as a single band.  Multispectral (MS) imagery was collected with a MicaSense RedEdge 3 as five co-located bands:  blue (B; approximately 475-500 nanometers [nm]), green (G; 550-560 nm), red (R; 660-670 nm), red-edge (710-720 nm), and near infrared (NIR; 820-860 nm).  Thermal-infrared (TIR) data were collected using a FLIR Vue Pro R 640 camera with an uncooled vanadium oxide microbolometer and a 13-mm lens.  Images were collected at 2-second intervals, with a flight speed of 9 meters per second (m/s), 7 m/s, or 5 m/s (visible, multispectral, thermal, respectively) with approximately 75% overlap between sequential images and 70% sidelap between adjacent flight lines.  Cameras used local time for visible and thermal imagery collection but Coordinated Universal Time (UTC) for multispectral imagery collection. Photogrammetry to integrate the individual images into an orthophoto and digital surface model (for visible imagery) was done using Agisoft Metashape.

Tags: agriculture, anthropocene, door-county, great-lakes, holocene, multispectral-imaging, orthophotographs, thermal-imaging, unmanned-aircraft-systems, usgs-5ea9d9f982cefae35a21dd35, visible-light-imaging, wisconsin
Organization: Department of the Interior
Low-altitude visible, multispectral, and thermal-infrared imagery from edge-of-field monitoring sites for Great Lakes Restoration Initiative - Michigan Flume 2

These orthophotos and digital surface model (DSM) were derived from low-altitude (approximately 92-m above ground surface) images collected from Unmanned Aerial System (UAS) flights over edge-of-field sites that are part of U.S. Geological Survey (USGS) Great Lakes Restoration Initiative (GLRI) monitoring.  The objective of this UAS photogrammetry data collection was to provide information on the tile-drain network in individual fields with the goal of understanding already observed patterns in runoff amount and water quality from these sites.  A 3DR Solo quadcopter served as the flight vehicle, flights were pre-planned using Mission Planner, and flights were flown using Tower.  Geospatial data were originally in WGS84 and projected to a local coordinate system for each site.  Visible color (Vis-C) imagery was collected with a Ricoh GRII as a single band.  Multispectral (MS) imagery was collected with a MicaSense RedEdge 3 as five co-located bands:  blue (B; approximately 475-500 nanometers [nm]), green (G; 550-560 nm), red (R; 660-670 nm), red-edge (710-720 nm), and near infrared (NIR; 820-860 nm).  Thermal-infrared (TIR) data were collected using a FLIR Vue Pro R 640 camera with an uncooled vanadium oxide microbolometer and a 13-mm lens.  Images were collected at 2-second intervals, with a flight speed of 9 meters per second (m/s), 7 m/s, or 5 m/s (visible, multispectral, thermal, respectively) with approximately 75% overlap between sequential images and 70% sidelap between adjacent flight lines.  Cameras used local time for visible and thermal imagery collection but Coordinated Universal Time (UTC) for multispectral imagery collection. Photogrammetry to integrate the individual images into an orthophoto and digital surface model (for visible imagery) was done using Agisoft Metashape.

Tags: agriculture, anthropocene, genesee-county, great-lakes, holocene, michigan, multispectral-imaging, orthophotographs, thermal-imaging, unmanned-aircraft-systems, usgs-5ea9d9c282cefae35a21db9e, visible-light-imaging
Organization: Department of the Interior
Image and biometric data for fish from Great Lakes tributaries collected during spring 2019

Image and biometric data were collected for 22 species of fish from Great Lakes Tributaries in Michigan and Ohio, and the Illinois River for the purpose of developing a fish identification classifier. Data consists of a comma delimited spreadsheet that identifies image file names and associated fish identification number, common name, species code, family name, genus, and species, date collected, river from which each fish was collected, location of sampling, fish fork length in millimeters, girth in millimeters, weight in kilograms, and personnel involved with image collection. Biometric data are saved as .csv comma delimited format and image files are saved as .png file type.

Tags: biota, black-mallard-river, fish, fishery-management, great-lakes, illinois-river, little-manistee-river, menominee-river, migratory-behavior, muskegon-river, sandusky-river, species-identification, tittabawassee-river, usgs-5ea9d75282cefae35a21c2ba
Organization: Department of the Interior
Hydrologic simulations for Robinson Forest and Reclaimed Mineland Soils

Robinson Forest, in eastern Kentucky, is a research forest owned and operated by the University of Kentucky (UK) since the 1920s. The Forest is situated in a portion of eastern Kentucky that has undergone extensive resource extraction, including silvaculture and both underground and surface mining of coal.  This site has been used to evaluate hydrologic process, stream permanence, and the potential effect of different methods of mineland reclamation on hydrology.  Hydrology was simulated using the Water Availability Tool for Environmental Resources.

Tags: anthropocene, appalachia, breathitt-county, cumberland, holocene, kentucky, knott-county, north-fork-kentucky, perry-county, robinson-forest, streamflow, usgs-5ea9aa5c82cefae35a1ff007
Organization: Department of the Interior
Daily-timestep and monthly-timestep estimates of baseflow at 49 reference stream gages located within 25 miles of the Delaware River basin watershed boundary for the years 1950 through 2015

This USGS data release contains daily-timestep and monthly-timestep estimates of baseflow at 49 reference stream gages located within 25 miles of the Delaware River basin watershed boundary. Estimates are provided for the available period of record of streamflow data at each site between 1950 and 2015. A two-parameter recursive digital filter was used to estimate baseflow at the selected stream gaging stations using U.S. Geological Survey Groundwater Toolbox (Barlow and others, 2017; Eckhardt, 2005).
References cited:
Barlow, P.M., Cunningham, W.L., Zhai, T., and Gray, M., 2017, U.S. Geological Survey Groundwater Toolbox version 1.3.1, a graphical and mapping interface for analysis of hydrologic data: U.S. Geological Survey Software Release, 26 May 2017, https://doi.org/10.5066/F7R78C9G.
Eckhardt, K., 2005, How to construct recursive digital filters for baseflow separation: Hydrological Processes - An International Journal, v. 19, p. 50-515, https://doi.org/10.1002/hyp.5675.

Tags: baseflow, delaware, delaware-river-basin, estuary, hydrology, new-jersey, new-york, pennsylvania, river-reaches, streamflow, usgs-5ea97ab682cefae35a1fccaf, water-resources, watershed
Organization: Department of the Interior
Horizontal-to-Vertical Seismic Ratio Passive-Seismic Data Collected at Edwards Air Force Research Laboratory, Antelope Valley, California, 2018

Passive seismic data collection was done northwest of the Air Force Research Laboratory (AFRL) at Edwards Air Force Base using the horizontal-to-vertical spectral ratio (HVSR) technique. HVSR surveys were done at 43 locations between May and September 2018 to refine the understanding of the bedrock-alluvial aquifer transition zone downgradient from the AFRL. Specifically, the data were collected to help determine the depth to bedrock. The HVSR method is a passive seismic technique that uses a three-component seismometer to measure the vertical and horizontal components of ambient seismic noise. Seismic noise in the range of ~0.1 to 1 Hertz (Hz) is caused by ocean waves, large regional storms, and tectonic sources. A resonance frequency (f0) is induced in unconsolidated alluvium when there is a substantial contrast (greater than 2:1) in shear-wave acoustic impedance between the alluvial overburden and the bedrock. The f0 is determined from the analysis of the spectral ratio of the horizontal and vertical components of the seismic data. The thickness of the overburden can be related to the f0. In general, lower f0 relates to thicker sediments, and higher f0 relates to relatively thinner overburden. Other geophysical techniques–including time-domain electromagnetics and electrical resistivity tomography–co-located with the HVSR data are made available in other child pages within this data release: https://doi.org/10.5066/P9ZGZTA4HVSR. This page contains the raw HVSR data.

Tags: antelope-fremont-valleys, boron, california, edwards-air-force-base, electrical-resistivity-imaging, environment, geophysics, geoscientificinformation, kern-county, leuhman-ridge, measurement, mojave-desert, north-edwards, seismic-methods, usgs-5ea8bf7682cefae35a1fafa5
Organization: Department of the Interior