AndreaBozzo/ceres-open-data-index huggingface dataset:
Shoreline change rates for the coast of Puerto Rico's main island calculated using the Digital Shoreline Analysis System version 5.1 (ver. 2.0, March 2023)

The U.S. Geological Survey (USGS) maintains shoreline positions for the United States coasts from both older sources, such as aerial photographs or topographic surveys, and contemporary sources, such as lidar-point clouds and digital elevation models. These shorelines are compiled and analyzed in the USGS Digital Shoreline Analysis System (DSAS), version 5.1 software to calculate rates of change. Keeping a record of historical shoreline positions is an effective method to monitor change over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers understand which areas of the coast are vulnerable to change. This data release, and other associated products, represent an expansion of the USGS national-scale shoreline database to include Puerto Rico and its islands, Vieques and Culebra. The USGS, in cooperation with the Coastal Research and Planning Institute of Puerto Rico—part of the Graduate School of Planning at the University of Puerto Rico, Rio Piedras Campus—has derived and compiled a database of historical shoreline positions using a variety of methods. These historical shoreline data are then used to measure the rate of shoreline change over time. Rate calculations are computed within a geographic information system (GIS) using the DSAS version 5.1 software. Starting from a user defined baseline, measurement transects are created by DSAS that intersect the shoreline vectors. The resulting intersections provide the location and time information necessary to calculate rates of shoreline change. The overall project contains shorelines, baselines, shoreline change rates (long-term and short-term), and shoreline intersects (long-term and short-term), for Puerto Rico, and the adjacent islands of Vieques and Culebra.

Tags: accretion, atlantic-coast, caribbean, cmgp, coastal-and-marine-geology-program, coastal-processes, coastal-research-and-planning-institute-of-puerto-rico, digital-shoreline-analysis-system, dsas, environment, erosion, geoscientificinformation, geospatial-datasets, historical-shoreline, linear-regression-rate, long-term-shoreline-change-rate, lrr, oceans, puerto-rico, puerto-rico-shoreline-change, shoreline-change-rate, shorelines, short-term-shoreline-change-rate, transect, u-s-geological-survey, united-states, university-of-puerto-rico, university-of-puerto-rico-graduate-school-of-planning, usgs, usgs-6149fa12d34e0df5fb96fc1c, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Shoreline intersects for the coast of Puerto Rico's main island generated by the Digital Shoreline Analysis System version 5.1 (ver. 2.0, March 2023)

The U.S. Geological Survey (USGS) maintains shoreline positions for the United States coasts from both older sources, such as aerial photographs or topographic surveys, and contemporary sources, such as lidar-point clouds and digital elevation models. These shorelines are compiled and analyzed in the USGS Digital Shoreline Analysis System (DSAS), version 5.1 software to calculate rates of change. Keeping a record of historical shoreline positions is an effective method to monitor change over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers understand which areas of the coast are vulnerable to change. This data release, and other associated products, represent an expansion of the USGS national-scale shoreline database to include Puerto Rico and its islands, Vieques and Culebra. The USGS, in cooperation with the Coastal Research and Planning Institute of Puerto Rico—part of the Graduate School of Planning at the University of Puerto Rico, Rio Piedras Campus—has derived and compiled a database of historical shoreline positions using a variety of methods. These historical shoreline data are then used to measure the rate of shoreline change over time. Rate calculations are computed within a geographic information system (GIS) using the DSAS version 5.1 software. Starting from a user defined baseline, measurement transects are created by DSAS that intersect the shoreline vectors. The resulting intersections provide the location and time information necessary to calculate rates of shoreline change. The overall project contains shorelines, baselines, shoreline change rates (long-term and short-term), and shoreline intersects (long-term and short-term), for Puerto Rico, and the adjacent islands of Vieques and Culebra.

Tags: atlantic-coast, caribbean, cmgp, coastal-and-marine-geology-program, coastal-processes, coastal-research-and-planning-institute-of-puerto-rico, digital-shoreline-analysis-system, dsas, environment, geoscientificinformation, geospatial-datasets, historical-shorelines, oceans, puerto-rico, puerto-rico-shoreline-change, shoreline-intersects, shorelines, transect, u-s-geological-survey, united-states, university-of-puerto-rico, university-of-puerto-rico-graduate-school-of-planning, usgs, usgs-6149fa34d34e0df5fb96fc21, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Baseline for the islands of Vieques and Culebra, Puerto Rico, generated to calculate shoreline change rates using the Digital Shoreline Analysis System version 5.1

The U.S. Geological Survey (USGS) maintains shoreline positions for the United States coasts from both older sources, such as aerial photographs or topographic surveys, and contemporary sources, such as lidar-point clouds and digital elevation models. These shorelines are compiled and analyzed in the USGS Digital Shoreline Analysis System (DSAS), version 5.1 software to calculate rates of change. Keeping a record of historical shoreline positions is an effective method to monitor change over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers understand which areas of the coast are vulnerable to change. This data release, and other associated products, represent an expansion of the USGS national-scale shoreline database to include Puerto Rico and its islands, Vieques and Culebra. The USGS, in cooperation with the Coastal Research and Planning Institute of Puerto Rico—part of the Graduate School of Planning at the University of Puerto Rico, Rio Piedras Campus—has derived and compiled a database of historical shoreline positions using a variety of methods. These historical shoreline data are then used to measure the rate of shoreline change over time.  Rate calculations are computed within a geographic information system (GIS) using the DSAS version 5.1 software.  Starting from a user defined baseline, measurement transects are created by DSAS that intersect the shoreline vectors. The resulting intersections provide the location and time information necessary to calculate rates of shoreline change. The overall project contains shorelines, baselines, shoreline change rates (long-term and short-term), and shoreline intersects (long-term and short-term), for Puerto Rico, and the adjacent islands of Vieques and Culebra.

Tags: atlantic-coast, baseline, caribbean, cmgp, coastal-and-marine-geology-program, coastal-processes, coastal-research-and-planning-institute-of-puerto-rico, culebra, digital-shoreline-analysis-system, dsas, environment, geoscientificinformation, geospatial-datasets, oceans, puerto-rico, puerto-rico-shoreline-change, shoreline, shoreline-change, u-s-geological-survey, united-states, university-of-puerto-rico, university-of-puerto-rico-graduate-school-of-planning, usgs, usgs-6149fa46d34e0df5fb96fc24, vieques, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Shoreline change rates for the islands of Vieques and Culebra, Puerto Rico, calculated using the Digital Shoreline Analysis System version 5.1

The U.S. Geological Survey (USGS) maintains shoreline positions for the United States coasts from both older sources, such as aerial photographs or topographic surveys, and contemporary sources, such as lidar-point clouds and digital elevation models. These shorelines are compiled and analyzed in the USGS Digital Shoreline Analysis System (DSAS), version 5.1 software to calculate rates of change. Keeping a record of historical shoreline positions is an effective method to monitor change over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers understand which areas of the coast are vulnerable to change. This data release, and other associated products, represent an expansion of the USGS national-scale shoreline database to include Puerto Rico and its islands, Vieques and Culebra. The USGS, in cooperation with the Coastal Research and Planning Institute of Puerto Rico—part of the Graduate School of Planning at the University of Puerto Rico, Rio Piedras Campus—has derived and compiled a database of historical shoreline positions using a variety of methods. These historical shoreline data are then used to measure the rate of shoreline change over time.  Rate calculations are computed within a geographic information system (GIS) using the DSAS version 5.1 software.  Starting from a user defined baseline, measurement transects are created by DSAS that intersect the shoreline vectors. The resulting intersections provide the location and time information necessary to calculate rates of shoreline change. The overall project contains shorelines, baselines, shoreline change rates (long-term and short-term), and shoreline intersects (long-term and short-term), for Puerto Rico, and the adjacent islands of Vieques and Culebra.

Tags: accretion, atlantic-coast, caribbean, cmgp, coastal-and-marine-geology-program, coastal-processes, coastal-research-and-planning-institute-of-puerto-rico, culebra, digital-shoreline-analysis-system, dsas, environment, erosion, geoscientificinformation, geospatial-datasets, historical-shoreline, linear-regression-rate, long-term-shoreline-change-rate, lrr, oceans, puerto-rico, puerto-rico-shoreline-change, shoreline-change-rate, shorelines, short-term-shoreline-change-rate, transect, u-s-geological-survey, united-states, university-of-puerto-rico, university-of-puerto-rico-graduate-school-of-planning, usgs, usgs-6149fa53d34e0df5fb96fc26, vieques, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Data tables associated with velocity modeling of supercritical pore fluids through porous media at reservoir conditions with applications for petroleum secondary migration and carbon sequestration plumes

A time-dependent form of Darcy’s Law was used to model pressure-driven fluid flow within homogeneous, isotropic, low-permeability carrier beds exhibiting a broad range of rock and fluid properties likely encountered in a variety of sedimentary sequences (Burke, 2022). In the study by Burke (2022), thermodynamic equations of state were used to determine thermophysical properties of supercritical pore fluids under reservoir pressures from 0–200 MPa (0–29,000 psi). This Data Release disseminates the numerical data tables for the Darcy flow timescales and velocities of methane and supercritical carbon dioxide used in that study.

Tags: co2-plume-velocity, darcy-flux, fluid-mechanics-in-porous-media, geologic-carbon-sequestration, geoscientificinformation, secondary-migration, usgs-614a1157d34e0df5fb96fceb
Organization: Department of the Interior
Continuous water-quality data for selected streams in Rocky Mountain National Park, Colorado, water years 2011—19 (ver. 2.0, January 2022)

This data release contains water-quality and discharge data collected at seven stream sites and one groundwater spring in Rocky Mountain National Park (RMNP), Colorado by the U.S. Geological Survey (USGS) from 10/1/2010 to 9/30/2019 using in-situ sensors and field meters. Data were collected for the purpose of quantifying downstream transport of aquatic carbon and exchange fluxes of dissolved carbon dioxide (CO₂) from streams. Parameters include daily mean discharge, dissolved CO₂, water temperature, atmospheric pressure, dissolved oxygen, fluorescent dissolved organic matter (fDOM), nitrate, specific conductance, turbidity, and corrected fDOM from 10/1/2010 to 9/30/2019 (DailyData.csv). Hourly mean dissolved CO₂, CO₂ partial pressure (pCO₂), water temperature, atmospheric pressure, dissolved oxygen, fDOM, nitrate, specific conductance, turbidity, and corrected fDOM are presented from 10/1/2016 to 9/30/2017 at one of the stream sites (AndrewsHourlyData.csv). Discrete measurements of dissolved CO₂ are presented for hyporheic samples collected at one site during 2000 (AndrewsHyporheicData.csv) and for a synoptic survey of groundwater springs conducted during summer 2018 (SpringsData.csv).
First posted June 17, 2021
Revised December 17, 2021

Tags: atmospheric-and-climatic-processes, carbon, co, colorado, evasion, geoscientificinformation, rocky-mountain-national-park, surface-water-non-marine, usgs-614b5bfbd34e0df5fb9799f0
Organization: Department of the Interior
Zooplankton Data for Cheney Reservoir near Cheney, Kansas, October 2008 through July 2021

This U.S. Geological Survey (USGS) data release provides zooplankton data collected from Cheney Reservoir, Kansas, during October 2008 through July 2021. 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-614b6644d34e0df5fb97a769, usgs-station-id-07144790, water-quality-data, zooplankton
Organization: Department of the Interior
Lumped Parameter Models of Groundwater Age, South Loup River, Nebraska

This data release describes one (1) Microsoft Excel table of lumped parameter models of groundwater age for groundwater discharging to the South Loup River, Nebraska. The table (LPMAgeResults) includes final models of groundwater age and metrics by calibration of lumped parameter models to tracer concentrations using TracerLPM software (Jurgens and others, 2012). Interpreted results presented here were used to guide hydrologic interpretations of groundwater sources and flow paths of groundwater discharging to the South Loup River, NE.

Tags: age-estimation-methods, environment, groundwater, mathematical-simulation, nebraska, nebraska-sand-hills, northern-high-plains-region, tracer-study, united-states, usgs-614b66b8d34e0df5fb97a770, water-chemistry
Organization: Department of the Interior
Southwest Everglades coastal soil pore water data Everglades National Park 1997-2012

Soil porewater (30cm and 60cm depth) was sampled for specific conductance, salinity and temperature in the southwest coastal Everglades, Everglades National Park from 1997-2012 at four sampling locations. Principal sampling location (HR) was located adjacent the Harney River and had five sampling sites (~ 60m apart) along a 300m N-S transect in a coastal mangrove fringe forest sampled from 1997-2011. Porewater was sampled from 2002-2012 at three secondary locations: Tarpon Bay (TB), Shark River (SR) and Shark Slough (SS). At each of these sampling locations, there were at least three 30cm and three 60cm porewater sampling pipes.

Tags: biota, climatologymeteorologyatmosphere, environment, estuary, everglades, geoscientificinformation, mangrove, national-park, peat, porewater, salinity, soil, usgs-614b6e27d34e0df5fb97c1bf, wetland
Organization: Department of the Interior
Riparian woody stem densities and landscape variables along the South Platte River, Colorado, United States, 2011-2016

This data set includes riparian woody stem counts, stem densities and landscape variables collected at 28 sites along the South Platte River, Colorado, United States from 2011-2016. Riparian woody stem densities were collected in the field during 2011, 2015, and 2016, and include the species Ulmus pumila, Populus deltoides, Salix amygdaloides, Fraxinus pennsylvanica, and Elaeagnus angustifolia. For Ulmus pumila, data are included for total stem density and stem densities of three size classes: saplings, medium, and large trees. Landscape variables at each site include: farmstead density, population density, upland Ulmus pumila density, bridge density, road density, active river channel, floodplain area, upstream cumulative drainage area, and mean annual river flow.

Tags: biota, colorado, floodplain, invasive-species, invasive-species-management, nonindigenous-species, riparian-invasions, riparian-plants, south-platte, south-platte-river, united-states, usgs-614b937ad34e0df5fb97c6b7, wetland-ecosystems
Organization: Department of the Interior
USGS46a Greenland ice core water – A reference material for stable hydrogen and oxygen isotopic composition of water

Ice core from Greenland was melted, filtered, and homogenized. Its stable hydrogen (δ2H) and oxygen (δ18O) isotopic compositions were adjusted to approximately match those of USGS46 ice core water (δ2H = –235.8 ‰ and δ18O = –29.80 ‰). This isotopic reference water, USGS46a, was loaded into glass ampules, sealed, autoclaved to eliminate biological activity, and calibrated by dual-inlet isotope-ratio mass spectrometry and laser absorption spectrometry. USGS46a is intended as one of two secondary isotopic reference waters for daily normalization of stable hydrogen and stable oxygen isotopic analysis of water with a mass spectrometer or a laser absorption spectrometer. The measured δ2H and δ18O values of USGS46a reference water were –235.6 ± 0.7 ‰ and –30.09 ± 0.05 ‰, respectively, relative to VSMOW on scales normalized such that the δ2H and δ18O values of SLAP reference water are, respectively, –428 and –55.5 ‰. Each uncertainty is an estimated expanded uncertainty (U = 2uc) about the reference value that provides an interval that has about a 95-percent probability of encompassing the true value. This reference water is available in cases containing 144 glass ampules that are filled with 5 mL of water per ampule and in silver tubes for use in high temperature elemental analyzers.

Tags: laboratory-reference-materials, stable-isotope-analysis, usgs-614b9675d34e0df5fb97c6bc
Organization: Department of the Interior
Imagery, soil profiles, and meteorological data from December 2020 to April 2021, Grand Falls Dune Field, Arizona

Grand Falls dune field (GFDF) is located on the Navajo Nation, ~70 km NE of Flagstaff, AZ. This active dune field displays a range of morphologies, including barchans, smaller dunes, and ripples, and is bimodal in composition. The felsic component is likely derived from the Little Colorado River, and the mafic component (basaltic grains) is locally sourced from nearby cinder cones [1]. GFDF is an excellent analog site for both active dunes on Mars and other planetary bodies that have dune-like features (e.g., Venus and Titan). 
We have set up a meteorological station within the dune field that records temperature, barometric pressure, relative humidity, wind direction, wind speed, solar radiation, and precipitation. In addition, an array of temperature and relative humidity sensors were deployed at five different depths within the soil to capture diurnal temperatures and humidity variations. This array is located near the meteorological station and both sets of instruments collect data every 15 minutes. 
A set of cameras have been positioned near an active ripple field, ~7 m southeast of the meteorological station. The cameras take images every 10 minutes to monitor ripple movement. A series of images were also taken using a NIKON D250 camera, in which data were then processed using the software Agisoft Metashope Professional to create a digital elevation model of the ripple field.
[1] Hayward, R. K. et al. (2010) 2nd Int. Plan. Dunes Wrkshp., Abstract #2004.

Tags: arizona, atmospheric-and-climatic-processes, atmospheric-properties, climatologymeteorologyatmosphere, dunes, field-inventory-and-monitoring, geoscientificinformation, grand-falls, remote-sensing, usgs-614b9706d34e0df5fb97c6c1
Organization: Department of the Interior
Context images of an active ripple field within Grand Falls dune field, Arizona from December 2020 to April 2021

A BlazeVideo camera has been set up an active ripple field within Grand Falls dune field, and takes an image every 10 minutes to record the ripple field movement. Data presented here span from December 15, 2020 to April 22, 2021.

Tags: arizona, climatologymeteorologyatmosphere, deserts, environment, grand-falls, ripples, sand, usgs-614b9767d34e0df5fb97c6c6
Organization: Department of the Interior
Photogrammetry of small ripples in a cinder field, Sunset Crater National Monument, Arizona, March 2022: U.S. Geological Survey data release

Photogrammetry techniques to quantify fine-scale topography of cinder ripples were applied to a small region of interest in Sunset Crater National Monument, Arizona.

Tags: aeolian-ripples, arizona, digital-elevation-models, geoscientificinformation, sunset-crater-national-monument, usgs-614b9941d34e0df5fb97c6dc
Organization: Department of the Interior
Meteorological data at Grand Falls dune field, Arizona, collected from December 2020 to April 2021

A meteorological station equipped with a rain gauge, atmospheric pressure sensor, temperature and relative humidity sensor, soil moisture sensor, and an anemometer (measuring wind speed, gust speed, and direction) was deployed at Grand Falls dune field, Arizona. This dataset has been collecting data every 15 minutes since December 15, 2020 with the goal to provide context for ripple and dune migration at an active dune field site.

Tags: air-temperature, arizona, climatologymeteorologyatmosphere, desert, dune-field, geoscientificinformation, grand-falls, meteorological-data, relative-humidity, usgs-614b9960d34e0df5fb97c6e0, wind
Organization: Department of the Interior
Temperature and relative humidity profiles at Grand Falls dune field, Arizona, collected from December 2020 to April 2021

Sand covers a significant portion of the Earth’s surface, including the Grand Falls area of Coconino County, AZ. The vadose zone (unsaturated zone) in a soil is of particular interest because it is broadly applicable to desert soils, which are seldom saturated and usually dry. In the absence of strong geothermal heating, the near-surface soil temperature profile is expected to exhibit maximum variation (for a given diurnal period) at the surface, with the diurnal variations becoming successively damped with depth. The temperature at a given depth is the result of diffusive heat transport vertically within the soil column. Water vapor also is expected to be transported via diffusion through the soil column [1].
We have selected a sand sheet within the Grand Falls Dune Field (GFDF) and deployed temperature and relative humidity sensors at 5 different depths: 1, 6, 12, 24, and 48 cm to capture diurnal temperature and humidity variations. 
[1] Hillel, D., (1980) Fundamentals of Soil Physics

Tags: arizona, climatologymeteorologyatmosphere, deserts, dunes, geoscientificinformation, grand-falls, relative-humidity, sand-sheet, soil-temperature, subsurface-profiler, usgs-614b9975d34e0df5fb97c6e3
Organization: Department of the Interior