AndreaBozzo/ceres-open-data-index huggingface dataset:
Coastwide Reference Monitoring System (CRMS) 2005, 2008, 2012, and 2016 Site 3650 land-water matrix

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring efforts to determine the efficacy of these efforts. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 390 sites that encompass the range of hydrological and ecological conditions for each stratum. As part of CRMS, land and water classifications are created from Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection, and Restoration Act (CWPPRA) in Louisiana rely on monitoring efforts to determine the efficacy of these efforts. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 390 sites that encompass the range of hydrological and ecological conditions for each stratum. As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites. This dataset consists of a matrix of four land-water products (2005, 2008, 2012, and 2016).  The resulting matrix has 16 possible classes defined by the combination of land and water categories on those four dates.

Tags: alteration-of-wetland-habitats, cartography, coastal, crms, doqq, emergent-wetland, forested-wetland, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, scrub-shrub-wetland, state-of-louisiana, usgs-5b631b13e4b006a11f71785b, wetland, wetland-ecosystems, wetlands
Organization: Department of the Interior
Geospatial bathymetry datasets for Croton Falls Reservoir, New York, 2017 to 2019

From May 2017 to November 2019, the U.S. Geological Survey conducted bathymetric surveys of New York City's East of Hudson Reservoirs. Bathymetry data were collected at Croton Falls Reservoir during August 2017, May 2018, and October 2019. 
Depth data were collected primarily with a multibeam echosounder; additional bathymetry points were measured using an acoustic Doppler current profiler (ADCP). Quality assurance points were measured with a single-beam echosounder. Water surface elevations were established using real-time kinematic (RTK) and static global navigation satellite system (GNSS) surveys and submersible pressure transducers. Measured sound velocity profiles were used to correct echosounder depth measurements for thermal stratification. Digital elevation models were created by combining the measured bathymetry data with lidar elevation data surrounding the reservoirs; gaps in the combined data were estimated (for example the tops of submerged islands) or interpolated. 
Files included in this Data Release include: grids (tiff format) of reservoir bed elevation, data source, and cell data standard deviation; shapefiles of elevation contours at a 2-foot interval and of single-beam echosounder quality assurance points; and text files (comma-separated value format) of elevation-area-capacity table, measured GNSS points, water surface elevation time series (tides) used to process echosounder data, measured sound velocity profiles, and average sound velocity profiles used to process echosounder data. 
Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.

Tags: acoustic-doppler-current-profiling, bathymetry, croton-falls-reservoir, digital-elevation-models, elevation, geospatial-analysis, inlandwaters, land-surveying, multibeam-sonar, new-york, putnam-county, single-beam-echosounder, sound-velocity, surface-water-level, surface-water-non-marine, usgs-5fa58695d34ed3698f92dcef
Organization: Department of the Interior
The eight-day interval during which amphibians first called annually at individual study wetlands across four study areas.

To help determine when winter conditions were changing to spring conditions annually in our four study areas, we determined the first eight-day interval (in accordance with the scale limitations of satellite data we used to assess the presence of snow) during which the first amphibian of the season called at each of our study wetlands in those areas. To do this, we examined contour plots of summaries of all the acoustic data we collected at that site in a given year to identify the unique call signatures of individual amphibian species by date and time. When necessary due to potential confounding on a contour plot, we also examined relevant individual five-minute recordings aurally and visually to confirm whether a call occurred. When we confirmed the date of the first call we recorded in a given season, we identified the eight-day interval in which that date fell, with the first such interval beginning on January 1 of each year.

Tags: air-temperature, amphibian-calling-phenology, north-temperate-lakes-long-term-research-area-wisconsin-usa, snowmelt, st-croix-national-scenic-riverway-minnesota-usa, st-croix-national-scenic-riverway-wisconsin-usa, tamarac-national-wildlife-refuge-minnesota-usa, temperature, upper-mississippi-river-wisconsin-usa, usgs-5b3e4077e4b060350a0ef7ed
Organization: Department of the Interior
Humpback Chub (Gila cypha) and Rainbow Trout (Oncorhynchus mykiss) Joint Mark-Recapture Data and Model, Colorado River, Arizona

These data were compiled for a joint mark-recapture analysis of humpback chub and rainbow trout and include capture histories for both species, as well as environmental covariates associated with monthly time steps used to measure survival and growth and environmental covariates used to predict capture probability during each sampling trip. This worksheet also include parameter estimates and associated variance-covariance matrix from a prior analysis, which were combined with the output from the joint mark-recap analysis to predict equilibrium adult abundances under a variety of scenarios.

Tags: arizona, capture-histories, colorado-river, colorado-river-corrodor, environmental-covariates, grand-canyon, humpback-chub, introduced-species, joint-mark-recapture, joint-mark-recapture-data, little-colorado-river, modeling, native-species, rainbow-trout, usgs-59c42296e4b091459a63547b
Organization: Department of the Interior
DS926 Digital surfaces and thicknesses of selected hydrogeologic units of the Floridan aquifer system in Florida and parts of Georgia, Alabama, and South Carolina -- Extent of the Apalachicola salinity feature

Digital surfaces and thicknesses of selected hydrogeologic units of the Floridan aquifer system 
were developed to define an updated hydrogeologic framework as part of the U.S. Geological 
Survey Groundwater Resources Program. This feature class contains a polygon depicting the 
extent of relatively shallow brackish and saline water in the Floridan aquifer system in 
southwestern Georgia and part of panhandle Florida.

Tags: alabama, apalachicola, environment, extent, florida, florida-panhandle, floridan-aquifer-system, geology, georgia, geoscientificinformation, hydrogeology, inlandwaters, regional-groundwater-availability-study, saline-water, salinity, shallow-brackish, south-carolina, southwestern-georgia, stratigraphy, united-states-geological-survey, usgs, usgs-ab6e5960-6feb-400e-a932-af169e8aa6b5
Organization: Department of the Interior
Kelp and invertebrate counts on permanent benthic transects 1980-2018 at San Nicolas Island, California

The data represent counts of individuals of a suite of kelp and macroinvertebrate species on fixed 10-meter by 2-meter benthic transects on permanent subtidal monitoring sites around San Nicolas Island between 1980 and 2018. There were six sites, each of which had five 20 square meter band transects. The sites were usually monitored twice per year, most often in October and April. The  species list is as follows: Stephanocystis osmundacea (formerly Cystoseira osmundacea), Laminaria spp., Eisenia arborea, Pterygophora californica, Macrocystis pyrifera greater than 1 m tall, Macrocystis pyrifera less than 1 m tall, Juvenile Laminariales (genus uncertain), Mesocentrotus franciscanus (formerly Strongylocentrotus franciscanus), Strongylocentrotus purpuratus, Patiria miniata, Dermasterias imbricata, Pisaster giganteus, Pycnopodia helianthoides, Megastraea undosa.

Tags: attached-sea-urchins, benthic-ecosystems, benthic-macroalgae, biota, brown-algae-and-kelp, california, kelp-forest, northeast-pacific, pacific, san-nicolas-island, sea-urchins-and-sand-dollars, southern-california-coastal, usgs-61c25d4bd34e2ca389d9e868
Organization: Department of the Interior
2010 Maryland USACE Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such as dune crest, toe and shoreline help define the vulnerability of the beach to storm impacts. This dataset defines the elevation and position of the seaward-most dune crest and toe and the mean high water shoreline derived from the 2010 Maryland U.S. Army Corps of Engineers (USACE) lidar survey. Beach width is included and is defined as the distance between the dune toe and shoreline along a cross-shore profile. The beach slope is calculated using this beach width and the elevation of the shoreline and dune toe.

Tags: atlantic-ocean, cmgp, coastal-and-marine-geology-program, coastal-processes, elevation, environment, geoscientificinformation, hazards, marine-geology, maryland, ocean-sciences, oceans, spcmsc, st-petersburg-coastal-and-marine-science-center, u-s-geological-survey, united-states-of-america, usgs, usgs-4f65e7ff-1187-41c6-bf0a-6319d7ac7825
Organization: Department of the Interior
Text Files of the DGPS Navigation Logged with HYPACK Software on USGS Cruise 2011-006-FA from June 13 to June 21, 2011

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal sea floor. Bathymetry, originally collected by NOAA for charting purposes, provides a fundamental framework for research and management activities along this part of Rhode Island Sound, shows the composition and terrain of the seabed, and provides information on sediment transport and benthic habitat. Interpretations were derived from the multibeam echo-sounder data collected in Rhode Island Sound. During June 2011, bottom photographs and surficial sediment data were acquired as part of a ground-truth reconnaissance survey of these areas. For more information on the ground-truth survey see &lt;http://woodshole.er.usgs.gov/operations/ia/public_ds_info.php?fa=2011-006-FA&gt;.

Tags: block-island, block-island-sound, bottom-photographs, bottom-video, cape-cod, cmgp, coastal-and-marine-geology-program, csi-lgbx-pro-differential-gps, field-activity-serial-number-2011-006-fa, hypack, info-bank-id-r-06-11-ri, location, marine-geophysics, marthas-vineyard, massachusetts, nantucket-island, nantucket-sound, navigation, navigational-data, north-america, north-atlantic, northeast-united-states, oceans, ofr-2012-1004, open-file-report-2012-1004, point, r-v-rafael, rhode-island, rhode-island-sound, saconnet-point, samples, seaboss, u-s-geological-survey, united-states, usgs, usgs-42ad8784-5e7f-4f99-ba81-438b328db6fe, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Ground conductivity measurements at selected National Wildlife Refuges, Montana and North Dakota, 2017-2018

Shallow subsurface electrical conductivity was mapped at selected U.S. Fish and Wildlife Service managed lands in northeast Montana and northwest North Dakota using the DUALEM421 electromagnetic sensor (Dualem, Inc., ON, Canada) in the winters of 2017 and 2018. Data were acquired by towing the DUALEM421 sensor on a sled behind an all-terrain vehicle or snow machine, with the sensor at a nominal height of 0.3 meters (m) above ground surface. Approximately 427 line-kilometers (km) of data were acquired over an area of nearly 26 square-kilometers. Data were manually edited to remove sensor dropouts, lag corrected for apparent offsets between recorded GPS location and data locations for each coil pair, and averaged to a sounding distance of 1m along the survey path; data were not decoupled from infrastructure noise sources (powerlines, pipelines, fences, etc.) or corrected for sensor pitch or roll. This data release contains raw and processed electromagnetic data. Digital data are described by the data dictionaries. Additional details regarding the processing steps are described in the metadata.

Tags: anderson, beaver-lake, bigslough, divide-county, dog-leg, electromagnetic-surveying, electromagnetics, environment, geology-geophysics-and-geochemistry-science-center, geophysics, geoscientificinformation, gggsc, gjesdal-east, goose-lake, groundwater, hansen, hydrogeology, jerde, larson-slough, lindell, medicine-lake, medwell, montana, national-wildlife-refuge, norman-lake, norock, north-dakota, north-root, northeast, northern-rocky-mountain-science-center, prairie-pothole-region, rabenberg, resistivity, salinity, science-team-about-energy-and-plains-and-potholes-environments, sheridan-county, stateline, steppe, usgs-5e739c2de4b01d50926c0a08, ward, water-resources, westby, westgard, wigeon, williston-basin
Organization: Department of the Interior
Monthly twelve-digit hydrologic unit code aggregations of the National Hydrologic Model Precipitation-Runoff Modeling System modeling application for Hawaii, 1980-2021 (ver. 2.0, June 2025)

This data release contains 16 variables from the National Hydrologic Model Infrastructure with the Precipitation-Runoff Modeling System (NHM-PRMS) modeling application forced with Daymet version 4 (Rosa and others, 2025) from 1980 through 2021 that are summarized to a monthly time step and a twelve-digit hydrologic unit code for the spatial extent of Hawaii. The following fluxes and storages are included: total monthly precipitation, evapotranspiration, lateral flow, surface runoff, quickflow, interflow, recharge, groundwater flow, and the average monthly snow water equivalent, interflow storage, groundwater storage, total storage, and soil moisture. These data can be found in the “HI_huc12_monthly_nhmprms_daymet_1980_2021.nc” file. 
Additionally, two supplementary files are also included in this data release. The first file (“HI_weights_hru_to_huc12_nhmprms_daymet.csv”) contains the spatial weights or fraction that is used to “weight” the modeling output in the area-weighting process. The second file (“HI_summed_weights_per_huc12_nhmprms_daymet.csv”) contains the total fractional area within each twelve-digit hydrologic unit code that is covered by the modeling output and is important for filtering results in the data file (where a fractional coverage may be less than one). 
In the version 2.0 data release update, a new variable was added to the “HI_huc12_monthly_nhmprms_daymet_1980_2021.nc” file. Additionally, several new netCDF files were added that contain data summarizations from a different production run (output data referenced as "byPOIobs") within the model application data release by Rosa and others (2025). Two of the three files added contain daily estimates of soil moisture fraction ("HI_byPOIobs_huc12_daily_soil_moisture_fraction_nhmprms_daymet_1980_2021.nc") and daily estimates of snow water equivalent ("HI_byPOIobs_huc12_daily_pkwater_equiv_nhmprms_daymet_1980_2021.nc") at the twelve-digit hydrologic unit code spatial regions. The third file added contains monthly estimates of 16 variables from the "byPOIobs" modeling application production run ("HI_byPOIobs_huc12_monthly_nhmprms_daymet_1980_2021.nc"). See the file, “revision_history_nhmprms_daymet_PR.txt” for a full description of the revisions.

Tags: climatologymeteorologyatmosphere, hawaii, national-hydrologic-model-precipitation-runoff-modeling-system, nhm-prms, usgs-667b2c75d34e6151c9d6bf6d
Organization: Department of the Interior
Katahdin Woods and Waters National Monument Seboeis Unit Accuracy Assessment Site Field Datasheet and Field Photos

The Katahdin Woods and Waters National Monument Seboeis Unit Vegetation Mapping Project was initiated in the fall of 2019 by a grant through the USGS Natural Resource Preservation Program to classify and map vegetation types of the Seboeis Unit thereby providing resource managers and biological researchers with useful baseline vegetation information. These data are the results of the field effort to collect accuracy assessment data for testing the Katahdin Woods and Waters National Monument Seboeis Unit Vegetation Mapping Project vegetation map.  Data collection was assisted by Jennifer Tibbetts, David Rubin, and Tiffany Reese.
An accuracy assessment was performed on the draft version of the vegetation map layer. During the summer of 2020, field crews collected data from 107 stratified and randomly selected sites for evaluating the accuracy of the vegetation map layer for those map classes representing U.S. National Vegetation Classification associations. In addition to the ground data, site photos were collected at each accuracy assessment site for a total of 703 ground images. The accuracy assessment field data were then compared to the vegetation map data. Results from the accuracy assessment study show an overall accuracy of 87.6% (kappa index of 87.0%) based on an analysis of data from 105 of the 107 accuracy assessment sites.

Tags: accuracy-assessment, biota, data-collection, environment, katahdin-woods-and-water-national-monument, maine, map, national-park-service, national-vegetation-classification-system, natural-resources-preservation-program, nvcs, u-s-national-vegetation-classification, united-states, usgs-6334978dd34e900e86c6c461, usnvc
Organization: Department of the Interior
LANDFIRE 2023 Vegetation Condition Class (VCC) CONUS

LANDFIRE’s (LF) 2023 Vegetation Condition Class (VCC) is a reclassification and categorization of the LF 2023 Vegetation Departure (VDep) product. VCC indicates the general level to which current vegetation is different from the simulated historical reference condition. Therefore, VCC is a derivative of VDep; the VDep product indicates how different current vegetation is compared to the estimated historical reference condition, and is based on change to species composition, structure, and canopy closure.  
Condition classes for VCC are defined in two ways; the original 3 category system from Fire Regime Condition Class Guidebook (FRCC Guidebook), and a newer 6 category system that provides additional thematic detail. For the original 3-category system, the VDep value is reclassified as: Condition Class I: VDep value from 0 to 33 (Low Departure), Class II: VDep value between 34 - 66 (Moderate Departure), and Condition Class III: VDep value from 67 to 100 (High Departure). The 6-category system provides more detail and is collapsible to the 3-category system. The 6 VCC categories are defined as: Condition Class I.A: VDep between 0 and 16 (Very Low Departure), Condition Class I.B: VDep between 17 and 33 (Low to Moderate Departure); Condition Class II.A: VDep between 34 and 50 (Moderate to Low Departure); Condition Class II.B: VDep between 51 and 66 (Moderate to High Departure); Condition Class III.A: VDep between 67 and 83 (High to Moderate Departure), and Condition Class III.B: VDep between 84 and 100 (High Departure).

Tags: biota, conterminous-united-states, continental-u-s, conus, fires, geographic-information-systems, geospatial-datasets, hazard-preparedness, image-collections, imagerybasemapsearthcover, landfire-2023, lf-2023, raster-digital-data, remote-sensing, u-s-forest-service-usfs, u-s-geological-survey-usgs, united-states, us, usgs-672500aad34e4f57573f38c5, vcc, vegetation-condition-class
Organization: Department of the Interior
Airborne geophysical survey: Kingman-Trona, California

Aeromagnetic data were collected along flight lines by instruments in an
aircraft that recorded magnetic-field values and locations.  This dataset
presents latitude, longitude, altitude, and magnetic-field values.

Tags: aeromagnetic-data, aeromagnetic-surveying, airborne-surveys, ca, california, f04015-mohave, f06027-inyo, f06071-san-bernardino, f32003-clark, f32023-nye, field-monitoring-stations, geophysical-surveys, geophysics, geospatial-datasets, kingman, kingman-trona, magnetic, magnetic-field-earth, magnetic-surveys, residual-magnetic-field, total-field, trona, united-states, usgs-a53e73bd-ff29-48f3-95bd-1a876cc6e7b4
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2021 Site 0002 land-water classification data

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring efforts to determine the efficacy of these efforts. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 398 sites that encompass the range of hydrological and ecological conditions for each stratum. As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites. A DOQQ is a raster image in which displacement in the image caused by sensor orientation and terrain relief has been removed and combines the image characteristics of a photo with geometric qualities of a map. The DOQQs generated for this project consist of 2021 Color Infrared (CIR) Digital Imagery. These images were classified into land and water categories using a threshold of the near infrared (NIR) band, followed by supervised and unsupervised classification.  Initial classification results are then reviewed by multiple image analysts to identify and manually recode errors. The final land-water classifications are intended to serve as both geographic and quantitative assessments of landscape composition on the date of acquisition. Five previous assessments have been conducted (2005, 2008, 2012, 2015/2016, and 2018). Once the program creates enough data points for statistical analyses, these data will be used for land area change rate calculation.

Tags: alteration-of-wetland-habitats, cartography, coastal, coastal-louisiana, crms, doqq, emergent-wetland, forested-wetland, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, scrub-shrub-wetland, state-of-louisiana, usgs-64dce058d34e5f6cd5527fab, wetland, wetland-restoration
Organization: Department of the Interior