AndreaBozzo/ceres-open-data-index huggingface dataset:
Drilling, construction, geophysical data, and lithologic log for borehole USGS 144

In 2016, the U.S. Geological Survey (USGS), in cooperation with the U.S. Department of Energy (DOE), drilled and constructed borehole USGS 144 (433021112552501) for stratigraphic framework analyses and water quality monitoring at the Idaho National Laboratory (INL), located in southeastern Idaho. Borehole USGS 144 was continuously cored from approximately 4 to 639 ft below land surface (BLS). The final construction depth, after reaming out cored section of the well, is 620 ft BLS.
The USGS collected geophysical data, daily drilling notes, and prepared detailed core descriptions for core collected to 639 ft BLS, which are included as part of this data release. The USGS INL Project Office drilling team performed the core drilling operations and well construction between August 22, 2016, to December 7, 2016.
The USGS INL Project Office collected geophysical logs on November 16, 28 and 30, 2016. Geophysical data include natural gamma, temperature, specific conductance, acoustic televiewer (ATV), neutron, neutron porosity, and gamma-gamma density logs which were examined synergistically with available core material to identify contacts between basalt flows, location and thickness of sediment layers, relative changes in porosity, vertical changes in specific conductivity and temperature, and changes in fracture density. Additionally, a gyroscopic deviation survey was performed and analyzed to reflect the projected well bore path. Geophysical data were collected using Century™ multi-parameter logging probes and select logs are displayed in well log figures. Geophysical data shown in figure displays include the natural gamma and neutron probe (9057A), gamma-gamma density probe (0024A), and gyroscopic deviation probe (9095C), and acoustic televiewer (9804A). With the exception of the 9804A and 9042A logs run inside the open borehole after drill rod was removed geophysical data were collected through the drill rod after reaching total cored depth. All logs were run from the bottom-up after reaching total unobstructed depth. Geophysical log data not represented in figure displays can be obtained by downloading attached LAS files, which are bundled in a single compressed ZIP file, or by visiting USGS - GeoLog Locator.
Drill core was taken to the USGS Lithologic Core Storage Library for storage and permanent archive located at Central Facilities Area on the INL. Drill core was photographed and described using standardized methods and procedures develpoed by the USGS INL Project Office which maximizes the description of the core and minimizes any interpretation.

Tags: 433021112552501, atv, boundaries, butte-county, eastern-snake-river-plain, eastern-snake-river-plain-aquifer, gamma-gamma, geophysics, geoscientificinformation, gyro-log, idaho, idaho-national-laboratory, inl-lithologic-core-storage-library, inlpo, las, lithologic-core-log, natural-gamma, neutron, specific-conductance, temperature, usgs-144, usgs-64adbf89d34e70357a2931d8, well-drilling
Organization: Department of the Interior
Intersects for the Central California coastal region generated to calculate shoreline change rates using the Digital Shoreline Analysis System version 5.0

Sandy ocean beaches are a popular recreational destination, often surrounded by communities containing valuable real estate.  Development is on the rise despite the fact that coastal infrastructure is subjected to flooding and erosion.  As a result, there is an increased demand for accurate information regarding past and present shoreline changes.  To meet these national needs, the Coastal and Marine Geology Program of the U.S. Geological Survey (USGS) is compiling existing reliable historical shoreline data along open-ocean sandy shores of the conterminous United States and parts of Alaska and Hawaii as part of the Coastal Change Hazards programmatic focus, formerly the National Assessment of Shoreline Change project.  
There is no widely accepted standard for analyzing shoreline change.  Existing shoreline data measurements and rate calculation methods vary from study to study and prevent combining results into state-wide or regional assessments.  The impetus behind this national scale project was to develop a standardized method of measuring changes in shoreline position that is consistent from coast to coast.  The goal was to facilitate the process of periodically and systematically updating the results in an internally consistent manner.
In this release, three new tidal datum-based mean high water (MHW) shorelines extracted from 2009/2010/2011, 2015, and 2016 lidar elevation data are included in the analysis (coverage not necessarily continuous statewide).  The full range of shoreline data is 1852 to 2016.  The proxy-datum bias correction has been applied on a transect-by-transect basis to reconcile offsets between the MHW shorelines and proxy-based HWL shorelines for the entire California coastal region which is divided into three subregions:  Northern California (NorCal), Central California (CenCal), and Southern California (SoCal).  In the previous report (Hapke et al., 2006), the proxy-datum bias correction was only applied to regional shoreline averages.
This shoreline change update for California reports proxy-datum bias corrected rates when that information was computed while extracting shoreline positions from lidar data.  In areas where the methods for delineating shorelines did not include computing bias correction values, the rates are reported without that correction. The proxy-datum bias concept is explained further in Ruggiero and List (2009) and in the process steps of the metadata file associated with the transect rates.

Tags: california, cencal, central-california, cmgp, coastal-and-marine-geology-program, coastal-processes, digital-shoreline-analysis-system, dsas, environment, geoscientificinformation, geospatial-datasets, intersect-points, intersects, norcal, north-america, northern-california, oceans, pacific-coast, shoreline, shoreline-change, socal, southern-california, u-s-geological-survey, united-states, usgs, usgs-64add527d34e70357a293260, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Delaware Atlantic coast, 2020 - Aircraft Positions

Low altitude (300 meters above ground level (AGL)) digital aerial imagery were acquired on May 4 and 5, 2020, from a manned, fixed-wing aircraft using a Sony A7R 36 Megapixel digital camera, along with precise aircraft location Global Navigation Satellite System (GNSS) data. Data were collected in shore-parallel lines, flying at approximately 50 meters per second and capturing true color imagery at 1 Hertz, resulting in image footprints with approximately 75-80% endlap, 60-70% sidelap, and a ground sample distance (GSD) of 5.3 centimeters. The precise time of each image capture (flash event) was recorded, and the corresponding aircraft position was computed in post-processing from the aircraft navigation GNSS data; precise image positions can then be determined by accounting for the lever arm offsets between the aircraft GNSS antenna and the camera lens. Position data, provided as latitude/longitude/ellipsoid height, is referenced to the North American Datum of 1983 (NAD83(2011)).

Tags: aerial-photography, cape-henlopen, cape-henlopen-state-park, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-processes, delaware, delaware-seashore-state-park, digital-elevation-models, earth-sciences, geography, geomorphology, geoscientificinformation, geospatial-datasets, image-collections, imagerybasemapsearthcover, oceans, remote-sensing, structure-from-motion, topographic-maps, topography, u-s-geological-survey, usgs, usgs-647e2beed34eac007b55e378
Organization: Department of the Interior
Baseline for the Northern California coastal region generated to calculate shoreline change rates using the Digital Shoreline Analysis System version 5.0

Sandy ocean beaches are a popular recreational destination, often surrounded by communities containing valuable real estate.  Development is on the rise despite the fact that coastal infrastructure is subjected to flooding and erosion.  As a result, there is an increased demand for accurate information regarding past and present shoreline changes.  To meet these national needs, the Coastal and Marine Geology Program of the U.S. Geological Survey (USGS) is compiling existing reliable historical shoreline data along open-ocean sandy shores of the conterminous United States and parts of Alaska and Hawaii as part of the Coastal Change Hazards programmatic focus, formerly the National Assessment of Shoreline Change project.  
There is no widely accepted standard for analyzing shoreline change.  Existing shoreline data measurements and rate calculation methods vary from study to study and prevent combining results into state-wide or regional assessments.  The impetus behind this national scale project was to develop a standardized method of measuring changes in shoreline position that is consistent from coast to coast.  The goal was to facilitate the process of periodically and systematically updating the results in an internally consistent manner.
In this release, three new tidal datum-based mean high water (MHW) shorelines extracted from 2009/2010/2011, 2015, and 2016 lidar elevation data are included in the analysis (coverage not necessarily continuous statewide).  The full range of shoreline data is 1852 to 2016.  The proxy-datum bias correction has been applied on a transect-by-transect basis to reconcile offsets between the MHW shorelines and proxy-based HWL shorelines for the entire California coastal region which is divided into three subregions:  Northern California (NorCal), Central California (CenCal), and Southern California (SoCal).  In the previous report (Hapke et al., 2006), the proxy-datum bias correction was only applied to regional shoreline averages.
This shoreline change update for California reports proxy-datum bias corrected rates when that information was computed while extracting shoreline positions from lidar data.  In areas where the methods for delineating shorelines did not include computing bias correction values, the rates are reported without that correction. The proxy-datum bias concept is explained further in Ruggiero and List (2009) and in the process steps of the metadata file associated with the transect rates.

Tags: baseline, california, cencal, central-california, cmgp, coastal-and-marine-geology-program, coastal-processes, digital-shoreline-analysis-system, dsas, environment, geoscientificinformation, geospatial-datasets, norcal, north-america, northern-california, oceans, pacific-coast, shoreline, shoreline-change, socal, southern-california, u-s-geological-survey, united-states, usgs, usgs-64add8d8d34e70357a29326b, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Delaware Atlantic coast, 2020 – Digital Elevation Models

Low altitude (300 meters above ground level (AGL)) digital aerial imagery acquired with a piloted fixed-wing aircraft was processed using Structure-from-Motion (SfM) photogrammetry techniques to produce high-resolution three-dimensional (3D) point clouds and digital elevation models (DEMs) and orthomosaic images. This dataset consists of DEMs produced from imagery collected along the Delaware Atlantic coast on May 4 and 5, 2020, to monitor coastal change.
All horizontal data are provided in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 18 North (18N), referenced to the North American Datum of 1983 (NAD83(2011)), and elevation is referenced to the North American Vertical Datum of 1988 (NAVD88), GEOID12B.

Tags: aerial-photography, cape-henlopen, cape-henlopen-state-park, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-processes, delaware, delaware-seashore-state-park, digital-elevation-models, earth-sciences, elevation, geography, geomorphology, geoscientificinformation, geospatial-datasets, image-collections, imagerybasemapsearthcover, remote-sensing, structure-from-motion, topographic-maps, topography, u-s-geological-survey, usgs, usgs-647e2c3ad34eac007b55e37e
Organization: Department of the Interior
McDaniel Lake near Springfield, Missouri, 2022

Water supply lakes are the primary source of water for many communities in northern and western Missouri.  Therefore, accurate and up-to-date estimates of lake capacity are important for managing and predicting adequate water supply. Many of the water supply lakes in Missouri were previously surveyed by the U.S. Geological Survey (USGS) in the early 2000s (Richards, 2013) and in 2013 (Huizinga, 2014); however, years of potential sedimentation may have resulted in reduced water storage capacity. Periodic bathymetric surveys are useful to update the area/capacity table and to determine changes in the bathymetric surface.
McDaniel Lake is a water supply lake used by the city of Springfield in southwestern Missouri. The surface area of McDaniel Lake is about 289 acres at the full pool level of the primary spillway (1,125.1 feet above the North American Vertical Datum of 1988).  A previous bathymetric survey was completed in 2001 with a single-beam echosounder.  In April 2022, the USGS, in cooperation with the Missouri Department of Natural Resources (MoDNR) and in collaboration with the City of Springfield, completed a bathymetric survey of McDaniel Lake using a multibeam echosounder.  The water-surface elevation during the survey was about 1,125.4 feet. The echosounder data can be combined with light detection and ranging (lidar) data to prepare a bathymetric map and a surface area and capacity table for the lake.
The gridded bathymetric point data (McDanielLake2022_bathy_pts.zip) were computed on a 1.64-foot (0.50-meter) grid using the Combined Uncertainty and Bathymetry Estimator (CUBE) method, which is used as the source of points to create the bathymetric surface.
Bathymetric quality-assurance data (McDanielLake2022_QA_raw.zip) were collected to evaluate the vertical accuracy of the gridded bathymetric point data.
Each of these two zip files contains a shapefile with an attribute table. Attribute/column labels of each table are described in the "Entity and attribute" section of the metadata file.
References Cited:
Huizinga, R.J., 2014, Bathymetric surveys and area/capacity tables of water-supply reservoirs for the city of Cameron, Missouri, July 2013: U.S. Geological Survey Open-File Report 2014–1005, 15 p., https://doi.org/10.3133/ofr20141005.
Richards, J.M., 2013, Bathymetric surveys of selected lakes in Missouri—2000–2008: U.S. Geological Survey Open-File Report 2013–1101, 9 p. with appendix, https://doi.org/10.3133/ofr20131101.

Tags: bathymetry, bathymetry-and-elevation, greene-county, mcdaniel-lake, missouri, multibeam, multibeam-sonar, springfield, u-s-geological-survey, usgs, usgs-64aee564d34e70357a294b0d
Organization: Department of the Interior
Eutrophication and plankton communities (Cyanobacteria and eukaryotic algae) in the Grand Calumet River Area of Concern, Indiana, 2021

The data being released were part of a project funded by the United States Environmental Protection Agency (USEPA). This study sought to identify the planktonic communities (cyanobacteria, eukaryotic algae) potentially contributing to eutrophication within the Grand Calumet River Area of Concern (AOC) in northern Indiana along the southern shore of Lake Michigan. In 2021, triplicate water samples were collected from five locations during three events, 4/19/21 and 4/20/21, 7/7/21, and 9/15/21. Water samples were processed and planktonic communities were determined by a DNA-based technology (algal metabarcoding).
Sampling locations:
1. Columbia Avenue, Hammond, IN
2. Lake George drainage ditch, Hammond, IN
3. Indiana Harbor Canal at Canal Street in East Chicago, IN
4. Airport Road in Gary, IN
5. Marquette Park Lagoon in Gary, IN

Tags: biota, dna-sequencing, east-chicago-indiana, ecology, freshwater-ecosystems, gary-indiana, grand-calumet-river, hammond-indiana, lake-michigan, microbial-communities, microbiology, polymerase-chain-reaction, usgs-64aef517d34e70357a294b40, water-sampling
Organization: Department of the Interior
Unionville Reservoir (Mahoney Lake) near Unionville, Missouri, 2022

Water supply lakes are the primary source of water for many communities in northern and western Missouri.  Therefore, accurate and up-to-date estimates of lake capacity are important for managing and predicting adequate water supply. Many of the water supply lakes in Missouri were previously surveyed by the U.S. Geological Survey (USGS) in the early 2000s (Richards, 2013) and in 2013 (Huizinga, 2014); however, years of potential sedimentation may have resulted in reduced water storage capacity. Periodic bathymetric surveys are useful to update the area/capacity table and to determine changes in the bathymetric surface.
Unionville Reservoir (also known as Mahoney Lake) is a water supply lake used by the city of Unionville in north-central Missouri. The surface area of Unionville Reservoir is about 73.1 acres at the full pool level of the primary spillway (976.9 feet above the North American Vertical Datum of 1988).  A previous bathymetric survey was completed in 2004 with a single-beam echosounder.  In May 2022, the USGS, in cooperation with the Missouri Department of Natural Resources (MoDNR) and in collaboration with the City of Unionville, completed a bathymetric survey of Unionville Reservoir using a multibeam echosounder.  The water-surface elevation during the survey was about 977.4 feet. The echosounder data can be combined with light detection and ranging (lidar) data to prepare a bathymetric map and a surface area and capacity table for the lake.
The gridded bathymetric point data (MahoneyLake2022_bathy_pts.zip) were computed on a 0.82-foot (0.25-meter) grid using the Combined Uncertainty and Bathymetry Estimator (CUBE) method, which is used as the source of points to create the bathymetric surface.
Bathymetric quality-assurance data (MahoneyLake2022_QA_raw.zip) were collected to evaluate the vertical accuracy of the gridded bathymetric point data.
Each of these two zip files contains a shapefile with an attribute table. Attribute/column labels of each table are described in the "Entity and attribute" section of the metadata file.
References Cited:
Huizinga, R.J., 2014, Bathymetric surveys and area/capacity tables of water-supply reservoirs for the city of Cameron, Missouri, July 2013: U.S. Geological Survey Open-File Report 2014–1005, 15 p., https://doi.org/10.3133/ofr20141005.
Richards, J.M., 2013, Bathymetric surveys of selected lakes in Missouri—2000–2008: U.S. Geological Survey Open-File Report 2013–1101, 9 p. with appendix, https://doi.org/10.3133/ofr20131101.
First posted November 29, 2023
Revised July 31, 2024, ver. 1.1

Tags: bathymetry, bathymetry-and-elevation, mahoney-lake, missouri, multibeam, multibeam-sonar, putnam-county, u-s-geological-survey, unionville, unionville-reservoir, usgs, usgs-64aefc0fd34e70357a294b6d
Organization: Department of the Interior
Fellows Lake near Springfield, Missouri, 2022

Water supply lakes are the primary source of water for many communities in northern and western Missouri.  Therefore, accurate and up-to-date estimates of lake capacity are important for managing and predicting adequate water supply. Many of the water supply lakes in Missouri were previously surveyed by the U.S. Geological Survey (USGS) in the early 2000s (Richards, 2013) and in 2013 (Huizinga, 2014); however, years of potential sedimentation may have resulted in reduced water storage capacity. Periodic bathymetric surveys are useful to update the area/capacity table and to determine changes in the bathymetric surface.
Fellows Lake is a water supply lake used by the city of Springfield in southwestern Missouri. The surface area of Fellows Lake is about 872 acres at the full pool level of the primary spillway (1,264.4 feet above the North American Vertical Datum of 1988).  A previous bathymetric survey was completed in 2001 with a single-beam echosounder.  In April 2022, the USGS, in cooperation with the Missouri Department of Natural Resources (MoDNR) and in collaboration with the City of Springfield, completed a bathymetric survey of Fellows Lake using a multibeam echosounder.  The water-surface elevation during the survey was about 1,261.0 feet. The echosounder data can be combined with light detection and ranging (lidar) data to prepare a bathymetric map and a surface area and capacity table for the lake.
The gridded bathymetric point data (FellowsLake2022_bathy_pts.zip) were computed on a 3.28-foot (1.0-meter) grid using the Combined Uncertainty and Bathymetry Estimator (CUBE) method, which is used as the source of points to create the bathymetric surface.
Bathymetric quality-assurance data (FellowsLake2022_QA_raw.zip) were collected to evaluate the vertical accuracy of the gridded bathymetric point data.
Each of these two zip files contains a shapefile with an attribute table. Attribute/column labels of each table are described in the "Entity and attribute" section of the metadata file.
References Cited:
Huizinga, R.J., 2014, Bathymetric surveys and area/capacity tables of water-supply reservoirs for the city of Cameron, Missouri, July 2013: U.S. Geological Survey Open-File Report 2014–1005, 15 p., https://doi.org/10.3133/ofr20141005.
Richards, J.M., 2013, Bathymetric surveys of selected lakes in Missouri—2000–2008: U.S. Geological Survey Open-File Report 2013–1101, 9 p. with appendix, https://doi.org/10.3133/ofr20131101.

Tags: bathymetry, bathymetry-and-elevation, fellows-lake, greene-county, missouri, multibeam, multibeam-sonar, springfield, u-s-geological-survey, usgs, usgs-64af0e18d34e70357a294fa6
Organization: Department of the Interior
Unprocessed aerial imagery from 4 February 2022 coastal survey of Central California.

This is a set of 2269 oblique aerial photogrammetric images and their derivatives, collected from Monterey to Ragged Point with a fixed-lens digital camera from a crewed light aircraft, for processing using structure-from-motion photogrammetry and machine learning to study coastal geomorphic processes at high temporal and spatial resolution. JPG files in each folder follow the following naming convention: {CAM###}_{YYYYMMDDHHMMSS_ss}.jpg, where {CAM###} is the last 3 digits of the camera serial number, preceded by the letters "cam", and where {YYYYMMDDHHMMSS_ss} is the image acquisition time in {YearMonthDayHourMinuteSecond_hundredths} expressed in 24-hour time, as recorded by the camera's internal clock and written to the SubSecondDateTime field in the image EXIF data (for example CAM001_202009182311_50 would be the timestamp for an image with a SubSecondDateTime EXIF time/date stamp of September 18th, 2020 at 11:11.50 pm.

Tags: aerial-and-satellite-photography, aerial-photography, agents-of-coastal-change, anthropogenic-agents-of-coastal-change, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-development, coastal-ecosystems, coastal-erosion, coastal-landslides, coastal-processes, datasets, distributions, earth-sciences, ecology, environment, geography, geologic-processes, geology, geoscientificinformation, geospatial-datasets, habitat, image-analysis, image-collections, imagerybasemapsearthcover, infrastructure, pacific-coastal-and-marine-science-center, pcmsc, physical-habitats-and-geomorphology, remote-sensing, slope-processes, structures, u-s-geological-survey, united-states, united-states-and-territories, usgs, usgs-64af8857-be75-4544-8e27-496e3d081ddf, visible-light-imaging
Organization: Department of the Interior