AndreaBozzo/ceres-open-data-index huggingface dataset:
LANDFIRE 2023 Biophysical Settings (BPS) AK

LANDFIRE's (LF) 2023 Update Biophysical Settings (BPS) product for Alaska represents the vegetation system that may have been dominant on the landscape prior to Euro-American settlement. BPS is based on both the current biophysical environment and an approximation of the historical disturbance regime. Map units are based on NatureServe's Ecological Systems classification and represent the natural plant communities that may have been present during the reference period. Each BPS map unit is matched with a model of vegetation succession which is used to estimate reference fire frequency and severity. LANDFIRE uses BPS to depict reference conditions of vegetation systems across landscapes and should not be regarded as a representation of existing vegetation. The LF 2023 BPS product uses the revised Ecological Systems classification for AK and was created by reviewing and modifying the LF 2016 Remap Existing Vegetation Type (EVT) data and adapting it to represent BPS concepts. This includes splitting and lumping EVTs to ensure they are compatible with the recent classification changes in BPS.

Tags: ak, alaska, biophysical-settings, biota, bps, fires, geographic-information-systems, geospatial-datasets, hazard-preparedness, image-collections, imagerybasemapsearthcover, landfire-2023, lf-2023, oconus, raster-digital-data, remote-sensing, u-s-forest-service-usfs, u-s-geological-survey-usgs, united-states, us, usgs-6737b263d34ea130d82b3989
Organization: Department of the Interior
Mineral Commodity Summaries 2025 - SAND AND GRAVEL (CONSTRUCTION) Data Release

This data release contains the U.S. salient statistics and world production data extracted from the SAND AND GRAVEL (CONSTRUCTION) data sheet of the USGS Mineral Commodity Summaries 2025.

Tags: construction-sand-and-gravel, nonmetallic-mineral-resources, usgs-6798f0e1d34ea8c18376e80d
Organization: Department of the Interior
Autonomous Underwater Vehicle Water-Quality Measurements in the Cape Fear River, multiple locations, North Carolina, 2020-2021

This U.S. Geological Survey (USGS) data release presents water-quality and bathymetric data measured with an Autonomous Underwater Vehicle (AUV) during spatial surveys in the Cape Fear River near Lock and Dam 1 near Riegelwood, NC in 2020 and at the confluence of the Haw and Deep Rivers near Moncure, NC in 2021. The Cape Fear River Basin is contained entirely within North Carolina and has a drainage area of 3,464 square miles. Four data collection trips were conducted that included 21 surveys. Data from each survey are presented in a CSV file, named with the survey date, time, and location. Data were measured by the AUV and logged at 0.25-second intervals. The AUV was equipped with a YSI EXO1 multiparameter sonde with sensors to measure the following water-quality parameters: water temperature (degrees Celsius; YSI Sensor 599870), specific conductivity (microSiemens per centimeter at 25 degrees Celsius; YSI sensor 599870), phycocyanin fluorescence (relative fluorescence units; YSI sensor 599102-01), chlorophyll fluorescence (relative fluorescence units; YSI sensor 599103-01), dissolved oxygen (milligrams per liter; YSI sensor, 599100-01), and turbidity (formazin nephelometric units; YSI sensor 599101-01) (YSI, 2019). Sensors were calibrated before and checked after, each data collection trip per USGS water-quality sampling protocols. See Data Quality section for additional information related to calibration and checks. Bathymetric data were measured with an on-board depth sounder and pressure transducer. Parameters include depth from surface, depth to bottom, and total water column. See Data Quality section for additional information related to positional accuracy and corrections.

Tags: autonomous-underwater-vehicle-auv, biota, bladen-county-nc, brunswick-county-nc, cape-fear, chatham-county-nc, chlorophyll, columbus-county-nc, cumberland-county-nc, dissolved-oxygen, harnett-county-nc, lee-county-nc, lower-cape-fear, north-america, north-carolina, phycocyanin-blue-green-algae, river-systems, specific-conductance, surface-water-quality, temperature, united-states, upper-cape-fear, usgs-627fd6d8d34e3bef0c9a37cf, water-quality
Organization: Department of the Interior
Mexico Wells: Municipal and Industrial Monthly Pumping Rates for the Rio Grande transboundary integrated hydrologic model and water-availability analysis, New Mexico and Texas, United States, and Northern Chihuahua, Mexico

This dataset contains monthly pumping rates for municipal and industrial (MnI) wells in the Mexico portion of the Rio Grande Transboundary Integrated Hydrologic Model (RGTIHM). Monthly pumping rates are presented in units of cubic feet per day for the period from March 1940 through December 2014.

Tags: aquifer, caballo-reservoir, chihuahua, el-paso, elephant-butte-reservoir, geology, groundwater-pumping, groundwater-system, hydraulic-properties, hydrogeology, hydrology, hydrostratigraphy, las-cruces, new-mexico, rio-grande, texas, transboundary, usgs-5ba03d2be4b08583a5c27bc6
Organization: Department of the Interior
Wind rose plots for the volcano: 390120  Leskov Island

This zip folder contains ASCII text files of vectors at the specified volcano at 
12-hour intervals, 
from January 1, 1990 through December 28, 2009.  
The wind vectors are divided into five files, names by their elevation range above 
sea level in the atmosphere: 00-05km.txt; 05-11km.txt; 11-16km.txt; 16-24km.txt; 
and 24-30km.txt. 
The zip folder also contains a subfolder "figures", with Wind rose plots of wind 
direction and speed over 
this time period.  The plots are by season, and by elevation, given a total of 20 
plots (4 seasons, 5 
elevation ranges).  A summary plot is also included which gives the year-round 
wind pattern at the volcano, 
at 0-5 km elevation.  Plots are in both jpg and pdf format.

Tags: meteorology, usgs-58d01908e4b0236b68f53404, volcanic-ash, volcanic-eruption-forecasting, wind
Organization: Department of the Interior
Bathymetric Survey Data for the São Francisco River near Torrinha, Bahia, Brazil, 2014

Hydrographic survey data were collected from May 22 through 
June 10, 2015, using an acoustic Doppler current profiler (ADCP) 
coupled with an RTK-GNSS rover. The collected hydrographic data 
consisted of three elements—riverbed elevations derived from 
bathymetry, depth-averaged streamflow velocity, and instantaneous 
discharge measurements. Hydrographic data were collected as the 
boat moved across the river at planned cross sections distributed 
throughout the reach. Data collection software integrated and stored 
the depth and velocity data from the ADCP and the horizontal and 
vertical positioning data from the GNSS data in real time. Data 
processing required computer software to extract bathymetry and 
velocity data from the raw ADCP and GNSS files and to summarize 
and map the information. Streamflow was measured to document 
the streamflow of the river at the time of the survey, and the variation 
of streamflow around Grande do Pecado Island.

Tags: acoustic, adcp, ascii, ba, bahia, bathymetry, brazil, doppler, elevation, geology, geoscientificinformation, imagerybasemapsearthcover, inland-waters, inlandwaters, lidar, location, multibeam, oceans, sao-francisco-river, structure, torrinha, u-s-geological-survey, usgs, usgs-4532a142-b79d-4362-a953-76b039c3fa9f, water-depth, xyz
Organization: Department of the Interior
Slab2 - A Comprehensive Subduction Zone Geometry Model, Solomon Islands Region

Subduction zones are home to the most seismically active faults on the planet. The shallow megathrust interface of subduction zones host our largest earthquakes, and are the only faults capable of M9+ ruptures. Despite these facts, our knowledge of subduction zone geometry - which likely plays a key role in determining the spatial extent and ultimately the size of subduction zone earthquakes - is incomplete. Here we calculate the three- dimensional geometries of all active global subduction zones. The resulting model - Slab2 - provides for the first time a comprehensive geometrical analysis of all known slabs in unprecedented detail.

Tags: earth-science, earthquake-hazard, earthquake-hazards-program, ehp, geologic-hazards-science-center, ghsc, large-earthquake-ruptures, shallow-megathrust-interface, subduction-zone, subduction-zone-geometry-model, usgs, usgs-5aa41721e4b0b1c392eaaf35
Organization: Department of the Interior
Biomes simulated by BIOME4 using CESM2 lig127k, midHolocene, and piControl climate data on a global 0.5-degree grid

This data set consists of simulated biomes for the last interglacial (127 ka), middle Holocene (6 ka), and preindustrial (1850 CE) time periods displayed in Figure 14 of Otto-Bliesner et al. (2020).  Biomes were simulated with BIOME4 (ver. 4.2, https://pmip2.lsce.ipsl.fr/synth/biome4.shtml; Kaplan et al., 2003, https://doi.org/10.1029/2002JD002559), an equilibrium vegetation model, using CESM2 (ver. 2.1.0) simulated climate data produced under PMIP4/CMIP6 (Paleoclimate Modelling Intercomparison Project phase 4 / Coupled Model Intercomparison Project phase 6) lig127k, midHolocene, and piControl experiments (Otto-Bliesner et al., 2017, https://doi.org/10.5194/gmd-10-3979-2017; Otto-Bliesner et al., 2020, https://doi.org/10.1029/2020PA003957).  To create input climate data for BIOME4, we used CESM2 reference-height temperature (tas), total precipitation rate (pr), and vertically integrated total cloud (clt), with tas converted from K to degrees C, pr converted to monthly total precipitation (mm) from precipitation rate (kg/m2/s), and clt converted from decimal fraction to %.  The climate data were regridded to a 0.5-degree global grid using bilinear interpolation and bias-corrected by calculating long-term mean differences (lig127k minus piControl, midHolocene minus piControl, piControl minus historical 1961-1990 CE 30-year mean) and applying the differences to CRU CL 2.0 (1961-1990 CE 30-year mean) climate data (New et al., 2002, https://doi.org/10.3354/cr021001), also on a 0.5-degree grid.  The lig127k and midHolocene data were calendar adjusted using PaleoCalAdjust (v1.0; Bartlein and Shafer, 2019, https://doi.org/10.5194/gmd-12-3889-2019).  Cloud data were converted to sunshine (%) using the approach of Doorenbos and Pruitt (1977, http://www.fao.org/3/a-f2430e.pdf).  This approach follows closely that described in more detail by Harrison et al. (2014, https://doi.org/10.1007/s00382-013-1922-6).  Other BIOME4 input data included orbital eccentricity (ecc) and obliquity (obliq) values for each time period (Bartlein and Shafer, 2019).  Atmospheric CO2 concentration was 275.0 ppm for 127 ka, 264.4 ppm for 6 ka, and 284.7 ppm for 1850 CE (Otto-Bliesner et al., 2020).

Tags: cesm2, climate-change, cmip6, holocene, mathematical-simulation, pleistocene, pmip4, usgs-5fad7ca9d34eb413d5df46c8, vegetation
Organization: Department of the Interior
National Land Cover Database (NLCD) 2016 - Alaska)

This update to the Alaska National Land Cover Database (NLCD) 2016 replaces the files dated 20200213.  In this update the landcover footprint was extended along the northern coast to include the islands that were missed in previous versions, and several duplicate roads (offset by 1 or 2 pixels) were removed on the Aleutian Islands. The Alaska National Land Cover Database 2016 was created using change detection between the nominal dates of 2011 and 2016 utilizing Google Earth engine composites of Landsat imagery. Traditionally, previous classifications of Alaska used path row data and spectral comparisons between path rows along with ancillary data to derive areas of change. Alaska has many challenges for land cover classification, with the largest of these being a very short “leaf on” imagery season for acceptable phenology. This is compounded by persistent cloud cover during this growing season, and increasing terrain shadow and sun angle problems outside of this season.  For this reason, the timeframe of 10 years was needed for the first update to the Alaska land cover in order to have enough acceptable imagery between these 2001 and 2011 nominal dates that met these criteria in order to provide reasonable change detection. For 2016, there was not enough complete path row imagery to do this similar change detection. Google Earth engine was employed to create a composite imagery mosaic that uses much smaller pieces of Landsat imagery to create a complete Landsat imagery snapshot used to create change detection between 2011 and 2016. Although this composite technique is not as scientifically rigorous as utilizing direct Landsat imagery, it was the only method available to us during production that would allow completion of change detection in the desired five year timeframe.
The original published 2001 and 2011 Alaska NLCD classifications are generally unchanged, except for slight updates in the northern part of the state to remove perennial ice and snow that were a result of lack of suitable imagery in the 2001 timeframe representing minimum snow and ice extent. See the 2001 and 2011 Land Cover products for the specific metadata process steps associated with the creation of those datasets.

Tags: ak, alaska, digital-spatial-data, gis, imagerybasemapsearthcover, land-cover, land-use-land-cover-theme, national-geospatial-data-asset, ngda, u-s, u-s-geological-survey, united-states, us, usgs, usgs-5f64cffa82ce38aaa23bdff2
Organization: Department of the Interior
Ground control and transect points collected during uncrewed aircraft systems (UAS) operations: Plum Island Estuary and Parker River NWR (PIEPR), November 14, 2017 and March 28, 2019

Low-altitude (80 and 100 meters above ground level) digital images were collected by the USGS Woods Hole Coastal and Marine Science Center (WHCMSC) Aerial Imaging and Mapping Group (AIMG) over an area of the Plum Island Estuary and Parker River National Wildlife Refuge (NWR) in Massachusetts on November 14, 2017 and March 28, 2019 to document marsh stability over time and quantify sediment movement. A 3DR Solo uncrewed aircraft systems (UAS) was equipped with either a Ricoh GR II digital camera for true-color color photos, used to produce digital elevation models and ortho images, or a MicaSense RedEdge multispectral camera that captures five specific bands of the visible spectrum (blue, green, red, red edge, and near-infrared), used to classify vegetation. The MicaSense camera covered a smaller subsection of the same polygonal area of the marsh that the Ricoh imaged. Some photographs contain black and white targets used as ground control points (GCPs), which were surveyed by a field crew with a high-precision Real-Time Kinematic Global Positioning System. This data release includes the original images from both cameras, as well as a CSV file containing the latitude and longitude coordinates, in Universal Transverse Mercator Zone 19N referenced to the North American Datum of 1983, of the ground control points needed to complete any photogrammetry projects using the original photographs, and GPS transect points used to evaluate the photogrammetry products created.

Tags: carlson-survce, cmhrp, coastal-and-marine-hazards-and-resources-program, elevation, geoscientificinformation, global-positioning-system, gps, ground-control-points, location, massachusetts, navigation, navigational-data, parker-river, parker-river-national-wildlife-refuge, plum-island, spectra-precision-sp80, u-s-geological-survey, usa, usgs, usgs-62a22d14d34ec53d2770697f, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Velocity profiling at the US Army Corps of Engineers Electric Dispersal Barrier in the Chicago Sanitary and Ship Canal during passage of fully loaded commercial tows: Wall Mounted Argonaut SW in August 2016

In 2016, the U.S. Fish and Wildlife Service, U.S. Geological Survey, and U.S. Army Corps of Engineers undertook a large-scale interagency field study to determine the influence of commercial barge vessels on the efficacy of the Electric Dispersal Barrier System (EDBS) in the Chicago Sanitary and Ship Canal (CSSC) in preventing fish passage. This study included a series of trials in which a tow, consisting of a tug vessel and six fully-loaded barges, transited the EDBS in both upstream-bound (n = 23) and downstream-bound (n = 22) directions. 
A 3,000 kHz SonTek Argonaut SW Acoustic Doppler Velocity Meter (ADVM), was mounted on the west canal wall at a depth of approximately 5.5 feet (1.7 meters), as measured on August 2, 2016 at 09:15 am CDT. The approximate elevation of the ADVM was 571.2 feet (NAVD88).  The wall mounted instrument was located at (41.6423629, -88.060329). The provisional water surface elevation at the USGS streamflow gaging station on the Chicago Sanitary and Ship Canal ranged from 575.81 feet to 577.29 feet over the study period (August 2 to 11, 2016).
The ADVM measured horizontal profiles of streamwise and cross-stream components of velocity between the edge of tow transiting the EDBS and the West canal wall for each trial. The ADVM reported velocities at 10 bins spaced by 0.5 meters between 0.57 and 6.07 meters from the West canal wall. All velocity measurements represent an average of 10 pings, recorded every 10 seconds during measurement, and are included in this data release as Comma Separated Value (CSV) files.

Tags: acoustic-doppler-current-profiling, chicago-sanitary-and-ship-canal, hydrodynamics, illinois, romeoville, usgs-58531817e4b0e2663625f1c6, will-county
Organization: Department of the Interior
WATSTORE Peak-flow frequency analyses for selected streamgages on the Bighorn, Tongue, and Lower Yellowstone Rivers and tributaries and Home Creek, Montana, based on data through water year 2021

This file (wymt_ffa_2021A_WATSTORE.txt) contains peak flow data for peak-flow frequency analyses for selected streamgages based on data through water year 2021. The file is in a text format called WATSTORE (National Water Data Storage and Retrieval System) available from NWISWeb (http://nwis.waterdata.usgs.gov/usa/nwis/peak).

Tags: annual-exceedance-probability, bighorn, bighorn-county, computational-methods, dawson-county, floods, hazard-preparedness, hazards, hydrologic-processes, hydrology, inlandwaters, land, little-bighorn, lower-bighorn, lower-yellowstone, montana, north-america, peak-flow-frequency, richland-county, rosebud, rosebud-county, statistical-analysis, stream-gage-measurement, streamflow, time-series-analysis, tongue, treasure-county, united-states, usgs-61cdf66fd34ed79293fc8716, usgs-cc-natural-hazards, watershed-management, yellowstone
Organization: Department of the Interior
Potentiometric surface contours for the Deadwood aquifer, Black Hills area, South Dakota

This data set represents potentiometric surface contours for the
Deadwood aquifer, Black Hills, South Dakota.

Tags: black-hills, contour, deadwood-aquifer, deadwood-formation, environment, geoscientificinformation, ground-water, hydrology, inlandwaters, potentiometric, south-dakota, usgs-a015a131-359c-4aab-ba69-3d94a6efb842, water-level
Organization: Department of the Interior
Model Archive for an Impulse Response Emulator of Groundwater Contaminant Transport Models

This archive contains the code and other files to demonstrate the creation and application of an impulse-response emulator for process-based
groundwater flow and transport models in MODFLOW/MT3D. This includes creating a synthetic modeling environment in MODFLOW/MT3D, using PEST++ to derive 
an impulse-response (A) matrix (as described in White et al., 2020), using this A matrix to create a groundwater transport emulator model, and providing 
a workflow to evaluate the performance of this emulator across a range of flow and transport model parameters.

Tags: groundwater, groundwater-flow, groundwater-quality, hydrogeology, mathematical-modeling, modflow-mwt, numerical-modeling, pest, usgs-659464c2d34e3265ab14f7c7
Organization: Department of the Interior
MODFLOW 6 Model Used to Simulate Groundwater Flow in the Long Island, New York Regional Aquifer System for 1900–2019 Pumping and Recharge Conditions

This groundwater model archive documents a transient, regional-scale numerical model of the Long Island aquifer system that simulates hydrologic conditions for the period 1900-2019 using US Geological Survey’s groundwater modeling software MODFLOW 6 (Hughes and others, 2017). The development and calibration of the numerical model is documented in Walter and others, 2024. The model input and output files included in this data release are documented in the readme.txt. The model simulates historical water levels, stream flows, and the position of the saltwater interface in response to time-varying changes in pumping and recharge stresses for the period 1900-2019. This archive also contains input and output files for scenarios developed to simulate hydrologic conditions at annual and seasonal time scales averaged for the period 2010-2019, a five-year drought, and sea level rise of 6 feet.

Tags: environment, geoscientificinformation, groundwater, inlandwaters, kings-county, long-island, model, modflow-6, modflow6, nassau-county, new-york, pest, queens-county, saltwater-intrusion, suffolk-county, usgs-6633b06dd34ea70bd5f28dec, usgsgroundwatermodel
Organization: Department of the Interior
Twelve-digit hydrologic unit actual evapotranspiration and snowpack water equivalent storage from the National Hydrologic Model Infrastructure with the Precipitation-Runoff Modeling System 1980-2016

This dataset is part of the National Water Census Water Budget Estimation and Evaluation Project's ongoing development of best estimates of daily historical water budgets for over 100,000 hydrologic units across the United States. In this release, estimates of actual evapotranspiration and snowpack water equivalent storage are added to the already released estimates of soil moisture, recharge, streamflow, and precipitation. All these estimates are made available per twelve-digit hydrologic unit code watershed as contained in the NHDPlus v2.1 dataset. As this project progresses, it is expected that a complete closed water budget generated from the same water budget model will succeed this data release. 
For background on source data and generation of these water budget variables, see nhru_pkwater_equiv.csv and nhru_hru_actet.csv from:
Hay, L.E., 2019, Application of the National Hydrologic Model Infrastructure with the Precipitation-Runoff Modeling System (NHM-PRMS), by HRU Calibrated Version: U.S. Geological Survey data release, https://doi.org/10.5066/P9NM8K8W 
The water budget variables were converted to a HUC12 basis using area-weighted spatial interpolation. All code used for conversions are included as an attachment to this data release.
Summary of files included:
1) hu12_ids.csv - twelve digit hydrologic unit (HUC12) code identifiers used in all files
2) timesteps.csv - timesteps used in all files.
3) nhm_eta.nc - NetCDF version of actual evapotranspiration data
4) nhm_eta_grid.csv - One timestep per row version of actual evapotranspiration data
5) nhm_eta_timeseries.csv - One HUC12 per row version of actual evapotranspiration data
6) nhm_snowpack.nc - NetCDF version of snowpack water equivalent data
7) nhm_snowpack_grid.csv - One timestep per row version of snowpack water equivalent data
8) nhm_snowpack_timeseries.csv - One HUC12 per row version of snowpack water equivalent data
9) scripts.zip - A reproducible R workflow to create outputs implemented with the drake package
This data release compliments the following related data releases.
Soil moisture and recharge:
Blodgett, D.L., 2019, Twelve digit hydrologic unit soil moisture and recharge from the National Hydrologic Model Infrastructure with the Precipitation-Runoff Modeling System: U.S. Geological Survey data release, https://doi.org/10.5066/P9ZZAWK4.
Streamflow:
Russell, A.M., Over, T.M., and Farmer, W.H., 2018, Statistical daily streamflow estimates at HUC12 outlets in the conterminous United States, Water Years 1981-2017: U.S. Geological Survey data release, https://doi.org/10.5066/P9DPSY6G.
Precipitation:
https://www.sciencebase.gov/catalog/item/52a7bed0e4b0de1a6d2dd0fd

Tags: hydrologic-processes, hydrology, inlandwaters, usgs-5eda361782ce7e579c69b03d
Organization: Department of the Interior