AndreaBozzo/ceres-open-data-index huggingface dataset:
Short vs intermediate-term fate of glucose and oxalic acid in surface and subsurface soils of a coastal grassland near Santa Cruz California

Though the primary sources of organic matter to soil are plant inputs, the role of microorganisms as mediators of soil organic carbon preservation is increasingly recognized in the context of biological contributions to long-lived soil organic matter. However, current knowledge of sub-soil processes is insufficient to model microbial-derived carbon flow particularly at depth. Using a previously studied paleo-marine terrace (90 ka) located just north of Santa Cruz, CA, we characterized for three depths in the soil profile (-25, -75, and -125 cm) the short-term (days to weeks) and intermediate-term (months to years) fate of some of the most dynamic components of soil organic matter pools, low molecular weight organic compounds (LMWOC). These are the monomers of common soil organic manner constituents, e.g carbohydrates, proteins and organic acids. Using a combination of laboratory and field incubation techniques we traced the fate of these carbon compounds through dissolved, exchangeable, microbial, and metal-associated soil organic carbon pools. Included in this dataset are soil physicochemical characteristics (pH, soil moisture, surface area), LMWOC turnover kinetics, extractable (neutral-salt and sequentially extracted) and total soil organic C pools including microbial-associated, and metal-associated soil organic carbon (sequentially extracted).

Tags: biota, environment, usgs-613a82c2d34e40dd9c0f63da
Organization: Department of the Interior
Starved Rock navigation lock fish clearing hydroacoustic data, Illinois River (2020)

These datasets (e.g., 'Starved Rock fish clearing_multi-beam imaging sonar fish data_Pre-clearing_Sonar-s1.csv') include exported information (e.g., fish detection counts) from processed fixed-location multi-beam imaging sonar and mobile side-scan sonar data. Fish abundance in the navigation lock was determined using mobile side-scan surveys, while multi-beam imaging sonars were used to determine fish counts relative to time (i.e., fish per minute). The datasets were used to examine the efficacy of electricity and underwater acoustics, used in tandem, to affect fish abundance (as determined by hydroacoustic data sampling).

Tags: aquatic-biology, illinois-river, invasive-species, nuisance-species, starved-rock-lock-and-dam, usgs-613b7abbd34e40dd9c0f9640
Organization: Department of the Interior
2015 Mean High Water Shorelines of the Puerto Rico coast used in Shoreline Change Analysis

The U.S. Geological Survey (USGS) maintains shoreline positions for the United States coasts from both older sources, such as aerial photos or topographic surveys, as well as contemporary sources like lidar point clouds and digital elevation models (DEMs). These shorelines are compiled and analyzed in the Digital Shoreline Analysis System (DSAS) software to compute rates of change. It is useful to keep a record of historical shoreline positions as a method of monitoring change over time to identify areas most susceptible to erosion or accretion.  These data can help coastal managers understand which areas of the coast are vulnerable.
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 United States Geological Survey (USGS) in cooperation with the Coastal Research and Planning Institute of Puerto Rico (CoRePI, 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 shorelines are used to measure the rate of shoreline change over time.

Tags: atlantic-coast, caribbean, coastal-and-marine-hazards-and-resources-program, coastal-processes, coastal-research-and-planning-institute-of-puerto-rico, digital-shoreline-analysis-system, dsas, environment, geoscientificinformation, geospatial-datasets, mean-high-water, mhw, national-geodedic-survey, national-oceanic-and-atmospheric-agency, ngs, noaa, 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-613b7f28d34e40dd9c0f9671, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
2016 USACE Mean High Water Shorelines of the Puerto Rico coast used in Shoreline Change Analysis

The U.S. Geological Survey (USGS) maintains shoreline positions for the United States coasts from both older sources, such as aerial photos or topographic surveys, as well as contemporary sources like lidar point clouds and digital elevation models (DEMs). These shorelines are compiled and analyzed in the Digital Shoreline Analysis System (DSAS) software to compute rates of change. It is useful to keep a record of historical shoreline positions as a method of monitoring change over time to identify areas most susceptible to erosion or accretion.  These data can help coastal managers understand which areas of the coast are vulnerable.
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 United States Geological Survey (USGS) in cooperation with the Coastal Research and Planning Institute of Puerto Rico (CoRePI, 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 shorelines are used to measure the rate of shoreline change over time.

Tags: atlantic-coast, caribbean, 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, mean-high-water, mhw, 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-613b7f59d34e40dd9c0f9675, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
2016 NOAA Mean High Water Shorelines of the Puerto Rico coast used in Shoreline Change Analysis

The U.S. Geological Survey (USGS) maintains shoreline positions for the United States coasts from both older sources, such as aerial photos or topographic surveys, as well as contemporary sources like lidar point clouds and digital elevation models (DEMs). These shorelines are compiled and analyzed in the Digital Shoreline Analysis System (DSAS) software to compute rates of change. It is useful to keep a record of historical shoreline positions as a method of monitoring change over time to identify areas most susceptible to erosion or accretion.  These data can help coastal managers understand which areas of the coast are vulnerable.
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 United States Geological Survey (USGS) in cooperation with the Coastal Research and Planning Institute of Puerto Rico (CoRePI, 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 shorelines are used to measure the rate of shoreline change over time.

Tags: atlantic-coast, caribbean, 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, mean-high-water, mhw, 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-613b7fa4d34e40dd9c0f9677, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Beach topography of the Columbia River littoral cell, Washington and Oregon, 2020

This portion of the USGS data release presents topography data collected during surveys performed in the Columbia River littoral cell, Washington and Oregon, in 2020 (USGS Field Activity Number 2020-622-FA). Topographic profiles were collected by walking along survey lines with global navigation satellite system (GNSS) receivers mounted on backpacks. Prior to data collection, vertical distances between the GNSS antennas and the ground were measured using a tape measure. Hand-held data collectors were used to log raw data and display navigational information allowing surveyors to navigate survey lines spaced at 100- to 1000-m intervals along the beach. Profiles were surveyed from the landward edge of the study area (either the base of a bluff, engineering structure, or just landward of the primary dune) over the beach foreshore, to wading depth on the same series of transects as nearshore bathymetric surveys that were conducted during the same time period. Additional topographic data were collected between survey lines in some areas with an all-terrain vehicle (ATV) equipped with a GNSS receiver to constrain the elevations and alongshore extent of major morphological features. Positioning data from the survey platforms were referenced to a GNSS base station with known horizontal and vertical coordinates relative to the North American Datum of 1983. Differential corrections from the GNSS base stations to the survey platforms were either applied in real-time with a VHF radio link, or post-processed using Trimble Business Center software. Orthometric elevations relative to the NAVD88 vertical datum were computed using National Geodetic Survey Geoid12a offsets. The average estimated vertical uncertainty of the topographic measurements is 4 cm. The final point data are provided in comma-separated text format and are projected in Cartesian coordinates using the Washington State Plane South, meters coordinate system. Due to equipment and staffing issues associated with the global pandemic, topographic surveys performed at the southern portion of the Clatsop Plains sub-cell (lines 71 to 101) and North Beach sub-cell took place several weeks prior the corresponding bathymetric surveys.

Tags: bathymetry-and-elevation, clatsop-county, cmhrp, coastal-and-marine-hazards-and-resources-program, columbia-river, elevation, global-positioning-system-gps-observations, gps-global-positioning-system, gps-measurement, grays-harbor-county, pacific-coastal-and-marine-science-center, pacific-county, pacific-ocean, pcmsc, topography, u-s-geological-survey, usgs, usgs-613b923ed34e40dd9c0f96e8
Organization: Department of the Interior
St. Croix River - Sidescan Image Mosaic, 2018

Hydroacoustic (sonar) data were collected for the Mississippi, St. Croix, and Minnesota Rivers for the development of high-resolution bathymetry and sidescan imagery. Combining these data in a GIS can provide key components to characterizing physical benthic habitat for native mussels in a riverine environment. These information needs were highly desired by the National Park Service to more accurately assess environmental factors that influence native mussel distribution. The collaborative effort was funded by the Legislative-Citizen Commission on Minnesota Resources (LCCMR) Environment and Natural Resources Trust Fund (ENRTF), to help maintain and enhance Minnesota’s environment and natural resources.

Tags: bathymetry, bathymetry-and-elevation, benthic-attached-biota, benthic-ecosystems, freshwater-ecosystems, habitat, habitats, hydrologic-characteristics-of-habitats, image-mosaics, minnesota, multibeam-echo-sounder, multibeam-sonar, national-park, physical-and-chemical-characteristics-of-habitats, sidescan-sonar, spatial-characteristics-of-habitats, st-croix-river, usgs-613ba0d4d34e40dd9c0f9733, wisconsin
Organization: Department of the Interior
WARMER-2 model inputs for three tidal wetland sites across San Francisco Bay estuary

Accurate input data are important for making site-specific projections of tidal wetlands into the future.  We developed bias-corrected digital elevation models (DEM) using the LEAN approach (LiDAR Elevation Adjustment with NDVI). LEAN DEMs were used as the initial elevation for model projections.  Further, we conducted elevation and vegetation surveys across each study site to characterize elevation profiles of dominant species, which were used to inform organic productivity functions in WARMER-2.

Tags: biota, brackish-marsh, browns-island, climate-change, digital-elevation-model, emergent-tidal-marsh, emergent-wetland, lidar, numerical-modeling, petaluma-marsh, rush-ranch, san-francisco-bay-estuary, sea-level-change, usgs-613ba371d34e40dd9c0f9739, wetland
Organization: Department of the Interior
Preliminary estimates of forecasted shoreline positions for Florida and Georgia

During Hurricane Irma, Florida and Georgia experienced substantial impacts to beaches, dunes, barrier islands, and coral reefs. Extensive erosion and coral losses from hurricanes result in increased vulnerability of coastal regions, including densely populated areas. Erosion may put critical infrastructure at risk of future flooding and may cause economic loss. The U.S. Geological Survey (USGS) Coastal and Marine Hazards Resources Program is working to assess shoreline erosion along the southeast U.S. coastline and analyze its implications for future vulnerability.

Tags: coastal-and-marine-geology-program, coastal-processes, digital-shoreline-analysis-system, dsas, environment, florida, georgia, geoscientificinformation, geospatial-datasets, kalman-filter, oceans, shoreline-forecasting, u-s-geological-survey, united-states, usgs, usgs-613ba403d34e40dd9c0f973d, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
St. Croix River - Sidescan Image Mosaic, 2018

Hydroacoustic (sonar) data were collected for the Mississippi, St. Croix, and Minnesota Rivers for the development of high-resolution bathymetry and sidescan imagery. Combining these data in a GIS can provide key components to characterizing physical benthic habitat for native mussels in a riverine environment. These information needs were highly desired by the National Park Service to more accurately assess environmental factors that influence native mussel distribution. The collaborative effort was funded by the Legislative-Citizen Commission on Minnesota Resources (LCCMR) Environment and Natural Resources Trust Fund (ENRTF), to help maintain and enhance Minnesota’s environment and natural resources.

Tags: bathymetry, bathymetry-and-elevation, benthic-attached-biota, benthic-ecosystems, freshwater-ecosystems, habitat, habitats, hydrologic-characteristics-of-habitats, image-mosaics, minnesota, multibeam-echo-sounder, multibeam-sonar, national-park, physical-and-chemical-characteristics-of-habitats, sidescan-sonar, spatial-characteristics-of-habitats, st-croix-river, usgs-613ba686d34e40dd9c0f974d, wisconsin
Organization: Department of the Interior
Spectral reflectance measurements of radiometric calibration panels for UAS image calibration

Calibration panels are used as reference materials with known reflectance characteristics to convert remote sensing image pixel values to scientific units such as reflectance. At the time of purchase, the panel vendor typically provides the customer with reflectance data for the panel. The vendor-provided spectral data as a reference for each panel’s reflectance values at the time of purchase. Over time, the panel’s reflectance can change due to exposure of its surface to elements such as the sun, dirt, dust, sand, and more during the panel’s use in the field. The purpose of this dataset is to enable the assessment of calibration panel reflectance changes over time. In addition to the vendor-provided spectral data for a series of panels at each panel's respective time of purchase, we measured the reflectance characteristics of each panel using a handheld spectroradiometer instrument and share those spectra in this data release. 
These Calibrated Reflectance Panels were manufactured by MicaSense (MicaSense Inc., Seattle, WA, USA; http://www.micasense.com/), which was also the source of the vendor-provided reflectance data. The vendor-provided data is provided as absolute reflectance (a value between 0.0 and 1.0) in the range of 400 nm to 850 nm (in increments of 1 nm). These vendor-provided spectra are provided in Comma Separated Value file format (files with a .csv extension) with two columns (wavelength, reflectance). We combined the vendor-provided spectral data into a single .csv file for this data release. 
On February 10, 2020, USGS researchers collected a series of reflectance spectra using a handheld field spectroradiometer for five calibration panels, each delivered to the customer on different dates between 2015-2019 and subjected to different field work conditions over time. This enables an assessment of calibration panel reflectance changes over time. The instrument used to measure the panel reflectance spectra was the Analytical Spectral Devices FieldSpec® 4 Hi-Res (ASD FS4; ASD Inc., a Malvern PANalytical Company, Longmont, Colorado) covering the range from 0.35 to 2.5 µm.  These handheld collected reflectance spectra were exported in the .txt format from the ASD ViewSpecPro software, and we combined the collected spectral data into a single Comma Separated Value file format (with a .csv extension).

Tags: camera-calibration, image-calibration, optical-methods, remote-sensing, surface-reflectance, usgs-613ba6a0d34e40dd9c0f974f
Organization: Department of the Interior
Model Archive Summary for Suspended-Sediment Regression at Station 07194880, Osage Creek near Cave Springs, AR

Data from an optical turbidity sensor deployed at the stream station were recorded at 15-minute intervals by a data logger and uploaded every hour to the U.S. Geological Survey (USGS) database (Anderson, 2005; Wagner, 2006). Suspended-sediment samples were collected using a suction pump autosampler, equal width increments or grab sampling techniques (Edwards, 1999). The use of an optical sensor to continuously monitor turbidity provided an accurate estimate of sediment fluctuations without the collection and analysis costs associated with intensive sampling (Office of Surface Water memorandum 2016.07; Rasmussen et al., 2009). Turbidity was used as a surrogate for suspended-sediment concentration (SSC), which is a measure of sedimentation and siltation. A regression model was developed between SSC and turbidity using turbidity data from the optical sensor and the SSC data collected from the suspended-sediment samples.
For Osage Creek near Cave Springs, AR, a total of 56 suspended-sediment samples were collected beginning on March 20, 2012 and ranged from 1 to 1480 milligrams per liter across a range of turbidity from 0.8 to 911 formazin nephelometric units and streamflow from 26.6 to 5640 cubic feet per second.  There were 40 suspended-sediment samples used in the final model after removing samples associated with sampling or fouling errors and extraneous samples from the same storm event which would result in overfitting of the model.

Tags: arkansas, biota, linear-regression, osage-creek, suspended-sediment, time-series, turbidity, usgs-613f8dced34e1449c5d35cde
Organization: Department of the Interior
Woolsey Fire Infiltration Measurements 19-21 November 2018 Santa Monica Mountains, CA

This data release includes minidisk infiltration data as well as geographic data showing the location of each measurement from the Woolsey Fire Los Angeles County, CA, USA. The Woolsey Fire burned between November 8-21, 2018. Minidisk infiltration data were obtained on November 19-21, 2018, while portions of the fire were uncontained, and prior to any rainfall.  The infiltration data are located in the comma separated variable (csv) files with the prefix: woolsey_minidisks followed by the site name. For example, the data obtained at site WD-1 are in the file named: woolsey_minidisks_WD-1.csv.  Within each csv file there are 5 columns: Level (mL) – the level of the falling head in the minidisk, Minutes, Seconds, and Suction (cm), which was set during the measurement. A shapefile with each site name is also attached to show the location of the measurement.

Tags: debris-flow, fire, infiltration, usgs-613fb25cd34e1449c5d35d9f, wildfire, woolsey
Organization: Department of the Interior
Chemical and isotopic composition of gas, water, and solids from the 2019-2020 water lake in Halema’uma’u Crater, Kīlauea Volcano, Hawaii

Following the 2018 eruption of Kīlauea Volcano (Neal and others, 2019) and the subsequent collapse of the Halema’uma’u crater, groundwater gradually seeped into the newly-deepened crater (Nadeau and others, 2020). Water was first observed in the crater on 7/26/19, and the water level increased over time until 12/20/20, when the crater again filled with lava, vaporizing the lake. In the intervening time, three sets of water samples were collected by unoccupied aircraft systems (UAS) and analyzed for water chemistry, water isotopes, and sulfur isotopes. The solids filtered from the collected water samples were analyzed by XRD and SEM, as well as digested and analyzed for their chemical composition.
Additionally, two flights with a multirotor UAS instrumented with a miniature multi-GAS (multiple Gas Analyzer System) instrument were completed on October 26, 2019. During these flights, gas plume compositions within Halema’uma’u crater were measured.
References
Nadeau, P., Diefenbach, A.K., Hurwitz, S. and Donald, A., 2020. From lava to water: a new era at Kīlauea. Eos, doi:10.1029/2020EO149557.
Neal, C.A., Brantley, S.R., Antolik, L., Babb, J.L., Burgess, M., Calles, K., Cappos, M., Chang, J.C., Conway, S., Desmither, L. and Dotray, P., 2019. The 2018 rift eruption and summit collapse of Kīlauea Volcano. Science, 363, 367-374.

Tags: biota, usgs-61401f9cd34e1449c5d38531, volcanic-lake-geochemistry-water-chemistry-water-isotopes-sulfur-isotopes
Organization: Department of the Interior
Chemical and isotopic composition of gas, water, and solids from the 2019-2020 water lake in Halema’uma’u Crater, Kīlauea Volcano, Hawaii: Water Isotopes

Water samples for Oxygen-18 and deuterium isotope determinations were stored unfiltered in 15 ml glass bottles and analyzed at the USGS laboratories in Reston, Virginia. Analysis of oxygen isotopes was according to the methods of Epstein and Mayeda [1953] with a precision of ±0.1‰, and the hydrogen isotopes were analyzed according to the method described in Kendall and Coplen [1985] and Coplen et al. [1991] with a precision of ±1.5‰. Ratios are reported relative to VSMOW.
References:
Coplen, T. B., J. D. Wildman, and J. Chen, Improvements in the gaseous hydrogen-water equilibration technique for hydrogen isotope ratio analysis, Anal. Chem., 63, 910– 912, 1991. doi:10.1021/ac00009a014.
Epstein, S., and T. Mayeda, Variation of 18O content of waters from natural sources, Geochim. Cosmochim. Acta, 4, 213– 224, 1953, doi: 10.1016/0016-7037(53)90051-9.
Kendall, C., and T. B. Coplen, Multi sample conversion of water to hydrogen by zinc for stable isotope determination, Anal. Chem., 57, 1437-1440, 1985, doi: 10.1021/ac00284a058.

Tags: geoscientificinformation, hawaii, kilauea, sulfur-isotopes, usgs-6140212fd34e1449c5d38533, water-chemistry, water-isotopes
Organization: Department of the Interior