AndreaBozzo/ceres-open-data-index huggingface dataset:
LAS dataset of lidar, single-beam, and multibeam sonar data collected at Lake Superior at Minnesota Point near the Duluth Entry, Duluth, MN, October-November 2022

This dataset is a LAS (industry-standard binary format for storing lidar point clouds) dataset containing light detection and ranging (lidar) data and sonar data representing the beach and near-shore bathymetry of Lake Superior at Minnesota Point, near the Duluth entry, Duluth, Minnesota.  Average point spacing of the LAS files in the dataset are as follows:  lidar, 0.055 meters (m); multibeam sonar, 0.511 m; single-beam sonar, 1.687 m. The LAS dataset was used to create digital elevation models (DEMs) of 10 m (32.8084 feet) and 1 m (3.28084 feet) cell size, of the approximate 1.78 square kilometer surveyed area. Lidar data were collected November 01, 2022 using a boat mounted Velodyne VLP-16 unit and methodology similar to that described by Huizinga and Wagner (2019). Multibeam sonar data were collected October 31-November 01, 2022 using a Norbit integrated wide band multibeam system compact (iWBMSc) sonar unit and methodology similar to that described by Richards and Huizinga (2018). Single-beam sonar data were collected November 01, 2022 using a Ceescope echosounder and methodology similar to that described by Wilson and Richards (2006). This project followed similar methods to that of Wagner, Lund, and Sanks (2020), who completed a similar survey in 2019.

Tags: bathymetry, bathymetry-and-elevation, dem, digital-elevation-models, duluth, elevation, great-lakes, hydroacoustic, inlandwaters, lake-superior, las, lidar, limnology, sonar, southwestern-lake-superior, superior, usgs-64b53451d34e70357a2adc12, xyz
Organization: Department of the Interior
XYZ dataset of lidar, single-beam, and multibeam sonar data collected at Lake Superior at Minnesota Point near the Duluth Entry, Duluth, MN, Oct-Nov 2022

This dataset is comprised of three files containing northing, easting, and elevation ("XYZ") information for light detection and ranging (lidar) data representing the beach topography and sonar data representing near-shore bathymetry of Lake Superior at Minnesota Point, near the Duluth entry, Duluth, Minnesota. The point data are the same as that in the LAS files that were used to create the digital elevation models (DEMs) of the approximate 1.78 square kilometer surveyed area. Lidar data were collected November 01, 2022 using a boat mounted Velodyne VLP-16 unit and methodology similar to that described by Huizinga and Wagner (2019). Multibeam sonar data were collected October 31-November 01, 2022 using a Norbit integrated wide band multibeam system compact (iWBMSc) sonar unit and methodology similar to that described by Richards and Huizinga (2018). Single-beam sonar data were collected November 01, 2022 using a Ceescope echosounder and methodology similar to that described by Wilson and Richards (2006). This project followed similar methods to that of Wagner, Lund, and Sanks (2020), who completed a similar survey in 2019.

Tags: bathymetry, bathymetry-and-elevation, dem, digital-elevation-models, duluth, elevation, great-lakes, hydroacoustic, inlandwaters, lake-superior, las, lidar, limnology, sonar, southwestern-lake-superior, superior, usgs-64b53616d34e70357a2adc16, xyz
Organization: Department of the Interior
LAS dataset of lidar, single-beam, and multibeam data collected at Lake Superior at Minnesota Point near the Superior Entry of Lake Superior, Duluth, MN, September 2022

This dataset is a LAS (industry-standard binary format for storing lidar point clouds) dataset containing light detection and ranging (lidar) data and sonar data representing the beach and near-shore topography of Lake Superior at Minnesota Point, near the Superior entry, Duluth, Minnesota. Average point spacing of the LAS files in the dataset are as follows:  lidar, 0.086 meters (m); multibeam sonar, 0.512 m; single-beam sonar, 1.919 m. The LAS dataset was used to create digital elevation models (DEMs) of 10 m (32.8084 feet) and 1 m (3.28084 feet) resolution, of the approximate 2.15 square kilometer surveyed area. Lidar data were collected September 07, 2022 using a boat mounted Velodyne VLP-16 unit and methodology similar to that described by Huizinga and Wagner (2019). Multibeam sonar data were collected September 06-07, 2022 using a Norbit integrated wide band multibeam system compact (iWBMSc) sonar unit and methodology similar to that described by Richards and Huizinga (2018). Single-beam sonar data were collected September 07, 2022 using a Ceescope echosounder and methodology similar to that described by Wilson and Richards (2006).This project followed similar methods to that of Wagner, Lund, and Sanks (2020), who completed a similar survey in 2019.

Tags: bathymetry, bathymetry-and-elevation, dem, digital-elevation-models, duluth, elevation, great-lakes, hydroacoustic, inlandwaters, lake-superior, las, lidar, limnology, sonar, southwestern-lake-superior, superior, usgs-64b538b4d34e70357a2adc1a, xyz
Organization: Department of the Interior
XYZ dataset of lidar, single-beam, and multibeam sonar data collected at Lake Superior at Minnesota Point near the Superior Entry, Duluth, MN, September 2022

This dataset is comprised of three files containing northing, easting, and elevation ("XYZ") information for light detection and ranging (lidar) data representing the beach topography and sonar data representing near-shore topography of Lake Superior at Minnesota Point, near the Duluth entry, Duluth, Minnesota. The point data is the same as that in LAS files that were used to create the digital elevation models (DEMs) of the approximate 2.15 square kilometer surveyed area. Lidar data were collected  September 07, 2022 using a boat mounted Velodyne VLP-16 unit and methodology similar to that described by Huizinga and Wagner (2019). Multibeam sonar data were collected September 06-07, 2022 using a Norbit integrated wide band multibeam system compact (iWBMSc) sonar unit and methodology similar to that described by Richards and Huizinga (2018). Single-beam sonar data were collected September 07, 2022 using a Ceescope echosounder and methodology similar to that described by Wilson and Richards (2006).This project followed similar methods to that of Wagner, Lund, and Sanks (2020), who completed a similar survey in 2019.

Tags: bathymetry, bathymetry-and-elevation, dem, digital-elevation-models, duluth, elevation, great-lakes, hydroacoustic, inlandwaters, lake-superior, las, lidar, limnology, sonar, southwestern-lake-superior, superior, usgs-64b53a72d34e70357a2adc20, xyz
Organization: Department of the Interior
Beach topography and near-shore bathymetry of Lake Superior at Minnesota Point near the Superior Entry, Duluth, MN, September 2022

These data are digital elevation models (DEMs) of the beach topography and near-shore bathymetry of Lake Superior at Minnesota Point, near the Superior entry, Duluth, Minnesota. The DEMs have 1 meter (m) and/or 10 m cell size and was created from a LAS dataset of terrestrial light detection and ranging (LiDAR) data representing the beach topography and sonar data representing the bathymetry for an approximate 2.15 square kilometer survey area. Average point spacing of the LAS files in the dataset are as follows: Lidar, 0.086 m; multi-beam sonar, 0.512 m; single-beam sonar, 1.919 m. Lidar data were collected  September 07, 2022 using a boat mounted Velodyne VLP-16 unit and methodology similar to that described by Huizinga and Wagner (2019). Multibeam sonar data were collected September 06-07, 2022 using a Norbit integrated wide band multibeam system compact (iWBMSc) sonar unit and methodology similar to that described by Richards and Huizinga (2018). Single-beam sonar data were collected September 07, 2022 using a Ceescope echosounder and methodology similar to that described by Wilson and Richards (2006). This project followed similar methods to that of Wagner, Lund, and Sanks (2020), who completed a similar survey in 2019.

Tags: bathymetry, bathymetry-and-elevation, dem, digital-elevation-models, duluth, elevation, great-lakes, hydroacoustic, inlandwaters, lake-superior, las, lidar, limnology, sonar, southwestern-lake-superior, superior, usgs-64b53ac6d34e70357a2adc23, xyz
Organization: Department of the Interior
Elevation contours of beach topography and near-shore bathymetry of Lake Superior at Minnesota Point near the Duluth Entry, Duluth, MN, October-November 2022

The elevation contours in this dataset have a 2-foot (ft) interval and were derived from a digital elevation model (DEM) of beach topography and nearshore bathymetry of Lake Superior at Minnesota Point, Duluth, Minnesota. The DEM has a 1 meter (m; 3.28084 ft) cell size and was created from Lidar data representing beach topography and sonar data representing bathymetry extending approximately 700-800 m offshore. The data cover an approximately 1.75 square kilometer survey area. Lidar data were collected November 01, 2022 using a boat mounted Velodyne VLP-16 unit and methodology similar to that described by Huizinga and Wagner (2019). Multibeam sonar data were collected October 31-November 01, 2022 using a Norbit integrated wide band multibeam system compact (iWBMSc) sonar unit and methodology similar to that described by Richards and Huizinga (2018). Single-beam sonar data were collected November 01, 2022 using a Ceescope echosounder and methodology similar to that described by Wilson and Richards (2006). This project followed similar methods to that of Wagner, Lund, and Sanks (2020), who completed a similar survey in 2019.

Tags: bathymetry, bathymetry-and-elevation, dem, digital-elevation-models, duluth, elevation, great-lakes, hydroacoustic, inlandwaters, lake-superior, las, lidar, limnology, sonar, southwestern-lake-superior, superior, usgs-64b53b47d34e70357a2adcb2, xyz
Organization: Department of the Interior
Elevation contours of beach topography and near-shore bathymetry of Lake Superior at Minnesota Point near the Superior Entry, Duluth, MN, September 2022

The elevation contours in this dataset have a 2-foot (ft) interval and were derived from a digital elevation model (DEM) of beach topography and nearshore bathymetry of Lake Superior at Minnesota Point near the Superior Entry, Duluth, Minnesota. The DEM has a 1 meter (m; 3.28084 ft) cell size and was created from Lidar data representing beach topography and sonar data representing bathymetry extending approximately 800-1000 m offshore. The data cover an approximately 2.15 square kilometer surveyed area. Lidar data were collected September 07, 2022 using a boat mounted Velodyne VLP-16 unit and methodology similar to that described by Huizinga and Wagner (2019). Multibeam sonar data were collected September 06-07, 2022 using a Norbit integrated wide band multibeam system compact (iWBMSc) sonar unit and methodology similar to that described by Richards and Huizinga (2018). Single-beam sonar data were collected September 07, 2022 using a Ceescope echosounder and methodology similar to that described by Wilson and Richards (2006). This project followed similar methods to that of Wagner, Lund, and Sanks (2020), who completed a similar survey in 2019.

Tags: bathymetry, bathymetry-and-elevation, dem, digital-elevation-models, duluth, elevation, great-lakes, hydroacoustic, inlandwaters, lake-superior, las, lidar, limnology, sonar, southwestern-lake-superior, superior, usgs-64b53b93d34e70357a2add28, xyz
Organization: Department of the Interior
Sediment and dissolved oxygen data to support fine sediment intrusion in Chinook salmon spawning gravels, Sauk River, Washington

This Data Release contains supporting data to evaluate fine sediment infiltration into gravels in identified locations of Chinook spawning habitat at three sites on the Sauk River, located in western Washington. Fine sediment infiltration into the river substrate that salmonid fish species use to spawn has been shown to increase mortality during the incubation and pre-emergence phase when salmonids are still residing in the subsurface gravels. The contents of this data release include;
1) geographic coordinates for the three site locations along the Sauk River,
2) hourly dissolved oxygen concentration in the subsurface at the three site locations, and
3) grainsizes, defined as fraction finer than a given sieve size of sediment for bulk subsurface samples and sediment held within infiltration boxes and bags.

Tags: environment, inlandwaters, pacific-northwest, usgs-649e0fe4d34ef77fcb0407b8, washington, water-quality
Organization: Department of the Interior
Dead Tree Detection Validation Data from Sequoia and Kings Canyon national parks

Most of these data were collected in order to create a database of tree locations for use in calibrating remote sensing tools and products, particularly dead tree detection tools and canopy species maps. Data include tree locations, species identification, and status (live, dead, and, if dead, sometimes includes information on foliage and twig retention). They are a collection of different sampling efforts performed over several years, starting in a period of severe drought mortality. One csv table is included that shows data and validation results for an additional dataset that was used to test the NAIP derived dead tree detection model that is associated with this data release. Locations are not included for that dataset.

Tags: biota, california, conifer-forest, droughts, forest-ecosystems, kings-canyon-national-park, remote-sensing, remote-sensing-validation, sequoia-national-park, sierra-nevada, tree-mortality, usgs-64b03479d34e70357a297508
Organization: Department of the Interior
Substrate properties for invertebrate comparisons in Bellingham Bay, Washington, July 2019 and July-August 2020

Sediment grain-size distributions and total organic carbon contents were measured at four intertidal sites and three subtidal sites along the urban waterfront (east shore) of Bellingham Bay, Washington, July 3-11, 2019 and June 6-August 31, 2020. Intertidal substrate was sampled in eelgrass beds, and subtidal substrate was sampled inside and outside of the deep edge of eelgrass beds.

Tags: bay, bellingham-bay, cmhrp, coastal-and-marine-hazards-and-resources-program, environment, geoscientificinformation, grain-size-analysis, habitat, pacific-coastal-and-marine-science-center, pcmsc, physical-and-chemical-characteristics-of-habitats, seagrass-beds, sediment, state-of-washington, substrate, tidal-flat, u-s-geological-survey, usgs, usgs-64b0a83dd34e70357a29eada, whatcom-county
Organization: Department of the Interior
Data Release for the 2023 Alaska National Seismic Hazard Model

The U.S. National Seismic Hazard Model (NSHM) for the state of Alaska was updated in 2023 as part of the 50-state NSHM update. The new model incorporates more than 15 years of additional science since the release of the previous model in 2007 and has been reviewed by a six-member review panel and a supplementary eight-member team of ground motion model developers. This time-independent probabilistic seismic hazard model applies new earthquake catalogs, declustering algorithms, gridded seismicity models, magnitude-scaling relations, geologic and geodetic deformation models, and ground motion models.
This data release supports the 2023 Alaska NSHM and includes the seismicity catalogs used to develop the model, hazard curves and uniform-hazard ground motions for the state of Alaska, and multiple period response spectra for the Alaska test sites.

Tags: alaska, earthquakes, hazards, national-seismic-hazard-map, national-seismic-hazard-model, national-seismic-hazard-model-project, nshm, nshmp, seismology, united-states, usa, usgs-64bebcced34e70357a31c624
Organization: Department of the Interior
LANDFIRE Forest Canopy Cover

The LANDFIRE fuel data describe the composition and characteristics of both surface fuel and canopy fuel. Specific products include fire behavior fuel models, canopy bulk density (CBD), canopy base height (CBH), canopy cover (CC), canopy height (CH), and fuel loading models (FLMs). These data may be implemented within models to predict the behavior and effects of wildland fire. These data are useful for strategic fuel treatment prioritization and tactical assessment of fire behavior and effects. 
CC describes percent cover of tree canopy in a stand. A spatially-explicit map of canopy cover supplies information for fire behavior models such as FARSITE (Finney 1998) to determine surface fuel shading for calculating dead fuel moisture and for calculating wind reductions. In FARSITE, canopy characteristics are used to compute shading, wind reduction factors, spotting distances, crown fuel volume, spread characteristics of crown fires and incorporate the effects of ladder fuels for transitions from a surface to crown fire.

Tags: biota, canopy-cover, cc, conterminous-united-states, continental-u-s, conus, fires, geographic-information-systems, geospatial-data, hazard-preparedness, image-collection, imagerybasemapsearthcover, landfire-2014, lf-2014, national-geospatial-data-asset, ngda, raster-digital-data, remote-sensing, u-s-forest-service-usfs, u-s-geological-survey-usgs, united-states, us, usgs-64bead9bd34e70357a31c52a
Organization: Department of the Interior
Percent volumes of insects consumed by the western small-footed bat (Myotis ciliolabrum) captured at Chaco Culture National Historical Park, El Malpais National Monument and El Malpais National Conservation Area, Mesa Verde National Park, Pecos National Historical Park, Guadalupe Mountains National Park, and Capulin Volcano National Monument, USA

This dataset represents the date and related identification number for each guano sample collected from the western small-footed bat (Myotis ciliolabrum) captured at Chaco Culture National Historical Park, El Malpais National Monument and El Malpais National Conservation Area, Mesa Verde National Park, Pecos National Historical Park, Guadalupe Mountains National Park, and Capulin Volcano National Monument, USA. Additionally, from analyses of guano, percent volumes of insects consumed by M. ciliolabrum with totals for each sample equal to 100%. Some samples may not equal 100% due to rounding up of calculated percentages, particularly for percent frequency.

Tags: bat, biota, capulin-volcano-national-monument, chaco-culture-national-historical-park, diet, el-malpais-national-conservation-area, el-malpais-national-monument, guadalupe-mountains-national-park, guano, insect, mesa-verde-national-park, pecos-national-historical-park, usgs-64b08825d34e70357a29eacd
Organization: Department of the Interior
Geographic data defining watersheds less than 45 square kilometers burned in all California wildfires greater than 100 square kilometers, 1984—2021

This table contains geographic information defining watersheds that were burned in large wildfires (greater than 100 square kilometers) that occurred in California or California-draining regions (i.e., upper Klamath watershed) between the years 1984 and 2021. Each wildfire was broken into tens to thousands of small watersheds, and each row of this table contains geographic information defining a single watershed.

Tags: cmhrp, coastal-and-marine-hazards-and-resources-program, erosion, fires, geoscientificinformation, geospatial-datasets, pacific-coastal-and-marine-science-center, pcmsc, physical-habitats-and-geomorphology, sediment-erosion, u-s-geological-survey, usgs, usgs-64becb4cd34e70357a31c6bd
Organization: Department of the Interior
Nitrogen flux estimates in support of Chesapeake Bay Hypoxia and Anoxia forecasts, 1985-2023

Data release includes the U.S. Geological Survey (USGS) estimate of spring nitrogen fluxes summed from nine tributaries to the Chesapeake Bay from 1985 to 2023.  Data are presented as the sum from tributaries within the USGS River Input Monitoring (RIM) network identified by site numbers:  01491000, 01578310, 01594440, 01646580, 01668000, 01673000, 01674500, 02035000, 02041650. Periods of estimation include January through May and November through May. The estimates are made using up-to-date streamflow and all total nitrogen analyses available as of June 1 of the reporting year.

Tags: appomattox-river, chesapeake-bay, choptank-river, james-river, mattaponi-river, nitrogen-flux, nitrogen-load, pamunkey-river, patuxent-river, potomac-river, rappahannock-river, susquehanna-river, usgs-64808e67d34eac007b5738dc
Organization: Department of the Interior
Egg mass counts from foothill yellow-legged frogs (Rana boylii) in California from 1992-2021

We compiled time series of egg mass counts (an index of adult female abundance) from Rana boylii populations in 36 focal streams and fit a Multiple Population Viability Analysis (MPVA) model to quantify how streamflow metrics, stream temperature, and surrounding land cover affect population growth. In addition, data on streamflow, stream temperature, and surrounding land cover for each stream were compiled from existing sources.

Tags: amphibians, biota, ecology, modeling, population-dynamics, usgs-649c8412d34ef77fcb03a974
Organization: Department of the Interior
Delaware Atlantic coast, 2020 - Aircraft Positions

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

Tags: aerial-photography, cape-henlopen, cape-henlopen-state-park, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-processes, delaware, delaware-seashore-state-park, digital-elevation-models, earth-sciences, geography, geomorphology, geoscientificinformation, geospatial-datasets, image-collections, imagerybasemapsearthcover, oceans, remote-sensing, structure-from-motion, topographic-maps, topography, u-s-geological-survey, usgs, usgs-647e2d96d34eac007b55e390
Organization: Department of the Interior
Mercury Stable Isotope Measurements in Water and Suspended Particulate Matter from Snake River Tributaries in Idaho and Oregon, USA

This study was designed to examine mercury (Hg) stable isotope values in filtered water and suspended particulate matter from tributaries to the Snake River located in Oregon and Idaho. Water samples were collected from 21 tributary sites representing a range of watershed land use types (e.g., agriculture, forest, etc.) within the Snake River Basin. In 2018, water samples were collected at tributary sites near the confluence of the Snake River and at sites upstream higher in the watershed. In the 2019 and 2020, the tributary water sample collection was focused on downstream sites near the Snake River. In addition, from 2015-2018 Hg stable isotopes were also measured in air, bed sediment, and geologic material from sites within the Snake River Basin to define reference values for the region.

Tags: geochemistry, hydrology, idaho, mercury-contamination, oregon, snake-river, usgs-64809157d34eac007b57448e
Organization: Department of the Interior