AndreaBozzo/ceres-open-data-index huggingface dataset:
Pre-fire biomass, burn severity, biomass consumption, and fire perimeter data for the 1987 Black Dragon Fire in China

Geospatial data were developed to characterize pre-fire biomass, burn severity, and biomass consumed for the Black Dragon Fire that burned in northern China in 1987. Pre-fire aboveground tree biomass (Mh/ha) raster data were derived by relating plot-level forest inventory data with pre-fire Landsat imagery from 1986 and 1987.  Biomass data were generated for individual species: Dahurian larch (Larix gmelinii Rupr. Kuzen), white birch (Betula platyphylla Suk), aspen (Populus davidiana Dode and Populus suaveolens Fischer), and Mongolian Scots pine (Pinus sylvestris var. mongolica Litvinov). A raster layer of total aboveground tree biomass was also generated. Burned area was manually delineated using the normalized burn ratio (NBR) calculated from post-fire Landsat imagery.  Burn severity categories include unburned, low, moderate, and high, and were mapped using established relationships between NBR and the composite burn index (CBI). Aboveground biomass consumption (Mg/ha) was calculated using biomass consumption rates specific to individual species and burn severity categories.  Based on these data, the Black Dragon Fire burned 1.3 million ha and consumed 36.99 Tg of aboveground biomass.

Tags: boreal-forest, carbon-and-greenhouse-gas-emissions, usgs-5d77e92de4b0c4f70d020b19, wildfire
Organization: Department of the Interior
Beach Profile Data Collected from Madeira Beach, Florida (September 8, 2020)

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B.

Tags: altimetry, bathymetry-and-elevation, beach, cmhrp, coastal-and-marine-hazards-and-resources-program, distributions, earth-science-gt-land-surface-gt-topography-gt-terrain-elevation, earth-science-gt-oceans-gt-coastal-processes-gt-beaches, elevation, elevation-data, florida, geology, geomorphology, geoscientificinformation, global-positioning-system-gps-observations, gps-measurement, gulf-of-mexico, madeira-beach, marine-geology, oceans, providers-gt-government-agencies-u-s-federal-agencies-gt-doi-gt-usgs-gt-doi-usgs-cmg-gt-coastal, spcmsc, st-petersburg-coastal-and-marine-science-center, topographic-mapping, topography, u-s-geological-survey, usgs, usgs-16ca4fbb-1ba6-4fe8-8ab4-ae7a551181a5
Organization: Department of the Interior
Composite multibeam bathymetry surface of the southern Cascadia Margin offshore Oregon and northern California

Data from various sources, including 2018 and 2019 multibeam bathymetry data collected by the National Oceanic and Atmospheric Administration (NOAA) and the U.S. Geological Survey (USGS) were combined to create a composite 30-m resolution multibeam bathymetry surface of southern Cascadia Margin offshore Oregon and northern California. The data are available as a geoTIFF file.

Tags: bathymetry, bathymetry-and-elevation, bathymetry-measurement, cmhrp, coastal-and-marine-hazards-and-resources-program, field-observation, geoscientificinformation, geospatial-datasets, marine-geophysics, multibeam-sonar, pacific-coastal-and-marine-science-center, pcmsc, sea-floor-characteristics, seabed, seafloor-topography, state-of-california, state-of-oregon, u-s-geological-survey, usgs, usgs-b1a31381-7b52-4e71-b488-c9c67c4c030d
Organization: Department of the Interior
JPEG Images of Seismic-Reflection Profiles Collected in Lake Mead in 2001

Lake Mead is a large interstate reservoir located in the Mojave Desert of southeastern Nevada and northwestern Arizona.  It was impounded in 1935 by the construction of Hoover Dam and is one of a series of multi-purpose reservoirs on the Colorado River.  The lake extends 183 km from the mouth of the Grand Canyon to Black Canyon, the site of Hoover Dam, and provides water for residential, commercial, industrial, recreational, and other non-agricultural users in communities across the southwestern United States.  Extensive research has been conducted on Lake Mead, but a majority of the studies have involved determining levels of anthropogenic contaminants such as synthetic organic compounds, heavy metals and dissolved ions, furans/dioxins, and nutrient loading in lake water, sediment, and biota (Preissler, et al., 1998; Bevans et al, 1996; Bevans et al., 1998; Covay and Leiker, 1998; LaBounty and Horn, 1997; Paulson, 1981).  By contrast, little work has focused on the sediments in the lake and the processes of deposition (Gould, 1951).  To address these questions, sidescan-sonar imagery and high-resolution seismic-reflection profiles were collected throughout Lake Mead by the USGS in cooperation with researchers from University of Nevada Las Vegas (UNLV).  These data allow a detailed mapping of the surficial geology and the distribution and thickness of sediment that has accumulated in the lake since the completion of Hoover Dam.  Results indicate that the accumulation of post-impoundment sediment is primarily restricted to former river and stream beds that are now submerged below the lake while the margins of the lake appear to be devoid of post-impoundment sediment.  The sediment cover along the original Colorado River bed is continuous and is typically greater than 10 m thick through much of its length.  Sediment thickness in some areas exceeds 35 m while the smaller tributary valleys typically are filled with less than 4 m of sediment.  Away from the river beds that are now covered with post-impoundment sediment, pre-impoundment alluvial deposits and rock outcrops are still exposed on the lake floor.

Tags: arizona, black-canyon, boomer, chirp, cmgp, coastal-and-marine-geology-program, colorado-river, cruise-serial-number-01007, geophysics, geoscientificinformation, grand-canyon, hoover-dam, image-collections, images, inlandwaters, interpretation, jpeg, lake-mead, las-vegas, mojave-desert, nevada, north-america, ofr03-320, open-file-report, seismic, sub-bottom-profiling, u-s-geological-survey, united-states, usgs, usgs-dbb1305a-f4b8-48f7-9a96-e8536c14bc89, woods-hole-field-center
Organization: Department of the Interior
Cave and Karst Biota Modeling in the Appalachian LCC - Predicted springtails in sampled 20km grid cells

We developed spatial summary (GIS) layers for a study of factors influencing the distribution of cave and karst associated fauna within the Appalachian Landscape Conservation Cooperative region, one of 22 public-private partnerships established by the United States Fish and Wildlife Service to aid in developing landscape scale solutions to conservation problems (https://lccnetwork.org/lcc/appalachian).  We gathered occurrence data on cave-limited terrestrial and aquatic troglobiotic species from a variety of sources within the Appalachian LCC region covering portions of 15 states.  Occurrence records were developed from the scientific literature, existing biodiversity databases, personal records of the authors, museum accessions, state Natural Heritage programs, and The Nature Conservancy (for Tennessee).  Occurrence records were identified by location and translated into a GIS database.  Although the precise locations cannot be made public due the sensitivity of the information, data sharing agreements, and restrictions under the Federal Cave Resources Protection Act of 1988, we summarized the data spatially using a coarse 20x20km vector grid. We used these occurence records, summarized at the 20x20km grid resolution in statistical modeling to examine physical factors predictive of cave dwelling fauna. Spatial summaries were developed for all cave dwelling species in our database where we had location coordinates for nine faunal groups (five terrestrial and four aquatic) that are common components of terrestrial and aquatic cave communities: ground beetles (Carabidae), millipedes, pseudoscorpions, spiders, and springtails for terrestrial species groups, and amphipods (Crangonyctidae and Gammaridae), isopods (Asellidae), crayfishes (Cambaridae), and fishes (Amblyopsidae) for aquatic species groups.

Tags: biota, caves, karst, usgs-5775986ae4b07dd077c77018
Organization: Department of the Interior
Geospatial Dataset for the Geologic Framework and Hydrostratigraphy of the Edwards and Trinity Aquifers Within Parts of Bandera and Kendall Counties, Texas, at 1:24,000

The karstic Edwards and Trinity aquifers are classified as major sources of water in south-central Texas by the Texas Water Development Board, and both are classified as major aquifers by the State of Texas. The purpose of this data release is to present the data that were collected and compiled to describe the geologic framework and hydrostratigraphy within parts of Bandera and Kendall Counties, Texas, in order to help water managers, water purveyors, and local residents better understand and manage water resources. The scope of the larger work and this accompanying data release is focused on the geologic framework and hydrostratigraphy of the outcrops and hydrostratigraphy of the Edwards and Trinity aquifers within parts of  Bandera and Kendall Counties, Texas. These digital data accompany Clark and others (2024).

Tags: balcones-fault-zone, bandera, bandera-county, basal-nodular-member, boerne, bulverde, burrowed-member, burt-ranch-member, camp-bullis, cavernous, cibolo-creek, cow-creek, cow-creek-limestone, cretaceous, doeppenschmidt, dolomitic-member, early-cretaceous, edwards-aquifer, edwards-group, fort-terrett-formation, fossiliferous, geoscientificinformation, glen-rose-limestone, grainstone-member, hensell, hensell-sand, herff-falls, honey-creek, kendall-county, kirschberg-evaporite-member, little-blanco, love-creek, lower-evaporite, lower-fossiliferous, lower-member-of-the-glen-rose-limestone, medina-river, pearsall-formation, regional-dense-member, rust, seco-pass, segovia-formation, texas, trinity-aquifer, trinity-group, twin-sisters, upper-evaporite, upper-fossiliferous, upper-member-of-the-glen-rose-limestone, usgs-64482f48d34ee8d4aded3cc3, v_, vi, vii, viii
Organization: Department of the Interior
Physical, Chemical, and Bioassay Data from the Study on Effects of Elevated Major Ions in Surface Water Contaminated by a Produced Water from Oil Production

This dataset characterizes sensitivity of fathead minnow and a unionid mussel to elevated major ions in produced water from oil and gas extraction process.

Tags: biota, environmental-toxicology, fathead-minnow, mussel, produced-water, usgs-5e00f69ee4b0b207aa033d64
Organization: Department of the Interior
EAARL Coastal Topography—Chandeleur Islands, Louisiana, 12-13 February 2011: Seamless (Bare Earth and Submerged)

ASCII XYZ point-cloud data for the Chandeleur Islands in Louisiana were produced from remotely sensed, geographically referenced elevation measurements collected on February 12 and 13, 2011 by the U.S. Geological Survey. Elevation measurements were collected over the area using the first-generation Experimental Advanced Airborne Research Lidar (EAARL-A), a pulsed laser ranging system mounted onboard an aircraft to measure ground elevation, vegetation canopy, and coastal topography. The system uses high-frequency laser beams directed at the Earth's surface through an opening in the bottom of the aircraft's fuselage. The laser system records the time difference between emission of the laser beam and the reception of the reflected laser signal in the aircraft. The plane travels over the target area at approximately 55 meters per second at an elevation of approximately 300 meters, resulting in a laser swath of approximately 240 meters. More than 100 kilometers of coastline can be surveyed easily within a 3- to 4-hour mission. When resultant elevation maps for an area are analyzed, they provide a useful tool to make management decisions regarding land development.

Tags: airborne-lidar-processing-system, alps, altimetry, bare-earth, bathymetry-and-elevation, chandeleur-islands, digital-elevation-models, distributions, doi-usgs-cmg-gt-coastal-and-marine-geology-u-s-geological-survey-u-s-department-of-interior, eaarl-a, elevation, experimental-advanced-airborne-research-lidar, gulf-of-mexico, land-surface-gt-topography-gt-terrain-elevation, laser-altimetry, lidar, lidar-gt-light-detection-and-ranging, louisiana, pilatus-pc-6, remote-sensing, st-bernard-parish, submerged, topographic-mapping, topography, usgs-fb4109b4-c2a6-4d77-ba84-a6b3c1e100e4
Organization: Department of the Interior
LANDFIRE 2022 Succession Class (SClass) CONUS

LANDFIRE’s (LF) 2022 Succession Class (SClass) categorizes current vegetation composition and structure into up to five successional classes, with successional classes defined in the appropriate Biophysical Settings (BpS) Model. There are two additional categories for uncharacteristic species (exotic or invasive vegetation), and uncharacteristic native vegetation cover, structure, or composition. Current successional classes and their historical reference conditions are compared to assess departure of vegetation characteristics. The classification schemes used to produce BpS and SClass may vary slightly between adjacent map zones, and reference conditions may be simulated independently in different map zones for the same BpS.

Tags: biota, conterminous-united-states, continental-u-s, conus, fires, geographic-information-systems, geospatial-datasets, hazard-preparedness, image-collections, imagerybasemapsearthcover, landfire-2022, lf-2022, raster-digital-data, remote-sensing, sclass, succession-class, u-s-forest-service-usfs, u-s-geological-survey-usgs, united-states, us, usgs-65777a08d34e952b22746253
Organization: Department of the Interior
MauiW_shorelines - Shorelines of the western coastal region of Maui, Hawaii, from Ukumehame to Honolua, used in shoreline change analysis.

Sandy ocean beaches are a popular recreational destination, often surrounded by communities containing valuable real estate.  Development is on the rise despite the fact that coastal infrastructure is subjected to flooding and erosion.  As a result, there is an increased demand for accurate information regarding past and present shoreline changes.  To meet these national needs, the Coastal and Marine Geology Program of the U.S. Geological Survey (USGS) is compiling existing reliable historical shoreline data along open-ocean sandy shores of the conterminous United States and parts of Alaska and Hawaii under the National Assessment of Shoreline Change project.  Shoreline vectors derived from historic and modern sources represent the low water mark (beach toe).
There is no widely accepted standard for analyzing shoreline change.  Existing shoreline data measurements and rate calculation methods vary from study to study and prevent combining results into state-wide or regional assessments.  The impetus behind the National Assessment project was to develop a standardized method of measuring changes in shoreline position that is consistent from coast to coast.  The goal was to facilitate the process of periodically and systematically updating the results in an internally consistent manner.

Tags: cmgp, coastal-and-marine-geology-program, coastal-processes, continental-island-shore-complex, digital-shoreline-analysis-system, dsas, effects-of-coastal-change, environment, erosion, geoscientificinformation, hawaii-coast, hawaii-ecoregion, honolua-hawaii, maui, national-assessment-of-shoreline-change-project, national-oceanic-and-atmospheric-administration, noaa, oceans, shoreline-accretion, shoreline-change-rate, shoreline-erosion, u-s-army-corps-of-engineers, u-s-geological-survey, ukumehame-hawaii, united-states, university-of-hawaii, usace, usgs, usgs-11f51957-172c-48c4-99e0-426321e7a1e4, weighted-linear-regression-rate, west-maui-coast, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Overland Flow Direction Information for the Upper Colorado River Basin in Daymet Climate Data resolution (overland_flow_direction_UCRB_daymet_resolution.txt)

overland_flow_direction_UCRB_daymet_resolution.txt is an Esri ASCII grid representing overland 
flow direction in the Upper Colorado River Basin using the D8 flow-routing convention.

Tags: arizona, california, colorado, environment, geoscientificinformation, groundwater, groundwater-recharge, inlandwaters, nevada, new-mexico, overland-flow-direction, upper-colorado-river-basin, usgs-f2388599-2630-4a18-a62f-453f887acda8, utah, wyoming
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2018 Site 2854 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 2018 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. Four previous assessments have been conducted (2005, 2008, 2012, and 2015/2016). 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-611d2d9ad34e40dd9c012afc, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
National Assessment of Hurricane-Induced Coastal Erosion Hazards: Gulf of Mexico Update

This dataset contains information on the probabilities of hurricane-induced erosion (collision, inundation and overwash) for each 1-km section of the Gulf of Mexico coast for category 1-5 hurricanes. The analysis is based on a storm-impact scaling model that uses observations of beach morphology combined with sophisticated hydrodynamic models to predict how the coast will respond to the direct landfall of category 1-5 hurricanes. Hurricane-induced water levels, due to both surge and waves, are compared to beach and dune elevations to determine the probabilities of three types of coastal change: collision (dune erosion), overwash, and inundation. Data on dune morphology (dune crest and toe elevation) and hydrodynamics (storm surge, wave setup and runup) are also included in this data set. As new beach morphology observations and storm predictions become available, this analysis will be updated to describe how coastal vulnerability to storms will vary in the future. The data presented here include the dune morphology observations, as derived from lidar surveys.

Tags: alabama, cmgp, coastal, coastal-and-marine-geology-program, elevation, environment, florida, gulf-of-mexico, louisiana, mississippi, ofr-2012-1084, open-file-report-2012-1084, spcmsc, st-petersburg-coastal-and-marine-science-center, texas, u-s-geological-survey, u-s-gulf-coast, usgs, usgs-6b0001d9-5c35-4229-93f7-3f17e18036d6
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2015 Site 0691 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 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.  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 2015 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.  Three previous assessments have been conducted (2005, 2008, and 2012).  Once the program creates enough data points for statistical analyses, these data will be used for land area change rate calculation.

Tags: cartography, coastal, crms, doqq, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, state-of-louisiana, usgs-59387669e4b0764e6c5d6c43, wetland
Organization: Department of the Interior
Interpretation of the sidescan sonar mosaic from the study area off new London, CT

This data layer is an interpretation of the sidescan sonar mosaic from the study area off New London, CT.

Tags: arcview, benthic-habitats, biology, coastal-and-marine-geology-program, coastal-and-marine-geology-team, community-structure, connecticut, connecticut-department-of-environmental-protection, ecologic-mapping, estuary, geospatial-datasets, infauna, long-island-sound, new-london, polygon, scientific-interpretation, sea-floor-characteristics, shapefile, sidescan-sonar, u-s-geological-survey, university-of-new-haven, usgs, usgs-416caf84-eeff-4c79-a430-d08aa84bb6ea, woods-hole-field-center, zajac
Organization: Department of the Interior