AndreaBozzo/ceres-open-data-index huggingface dataset:
Digital elevation models (DEMs) of the Elwha River delta, Washington, August 2019

This portion of the USGS data release presents digital elevation models (DEMs) derived from bathymetric and topographic surveys conducted on the Elwha River delta in August 2019 (USGS Field Activity Number 2019-633-FA). Nearshore bathymetry data were collected using two personal watercraft (PWCs) equipped with single-beam echosounders and survey-grade global navigation satellite systems (GNSS) receivers. Topographic data were collected on foot with survey-grade GNSS receivers mounted on backpacks. Positions of the survey platforms were referenced to a GNSS base station placed on a benchmark with known horizontal and vertical coordinates relative to the North American Datum of 1983 (CORS96 realization) and North American Vertical Datum of 1988 based on NGS Geoid09 vertical offsets. The final data were projected in Cartesian coordinates using the Washington State Plane North (meters) coordinate system. A total of 1,067,448 individual elevation points were collected within the survey area between August 26 and August 29, 2019. DEM surfaces were produced from all available elevation data using linear interpolation. Two separate DEMs were constructed. A DEM was produced that covered the entire survey area (approximately 482 ha) with 5-m horizontal resolution. A second DEM with 1-m resolution was produced that covered the river mouth and adjacent areas (approximately 209 ha). The DEMs were created by interpolating between measurements as much as 50 meters apart. For this reason, we cannot evaluate the accuracy of each point in the DEM, only the measurements it is based on. The estimated vertical uncertainties of the bathymetric and topographic measurements are 12 and 5 cm, respectively. Digital data files for each DEM are provided in ESRI ARC ASCII (*.asc) format.

Tags: bathymetry, bathymetry-and-elevation, bathymetry-measurement, clallam-county, cmhrp, coastal-and-marine-hazards-and-resources-program, digital-elevation-models, elevation, elwha-river, global-positioning-system-gps-observations, gps-measurement, olympic-peninsula, pacific-coastal-and-marine-science-center, pcmsc, single-beam-echo-sounder, strait-of-juan-de-fuca, topographic-mapping, topography, u-s-geological-survey, usgs, usgs-6578ee07d34e952b22747ab1
Organization: Department of the Interior
US Fish and Wildlife Service Fire Atlas- Burn Severity Mosaic for CONUS in 2003

The U. S. Fish and Wildlife Service (FWS) requests burn severity assessments through an agreement with the U.S. Geological Survey (USGS) to be completed by analysts with the Monitoring Trends in Burn Severity (MTBS) Program. These data products are burned area boundary shapefiles derived from post-fire sensor data (including Landsat TM, Landsat ETM+, Landsat OLI). The pre-fire and post-fire subsets included were used to create Normalized Burn Ratio (NBR) and then a differenced Normalized Burn Ratio (dNBR) image. The objective of this assessment was to generate burned area boundaries for each fire. Data bundles also include post-fire subset, pre-fire subset, NBR, and dNBR images. This map layer is a thematic raster image of burn severity classes for all inventoried fires occurring in CONUS during calendar year 2003. Fires omitted from this mapped inventory are those where suitable satellite imagery was not available, or fires which were not discernable from available imagery.

Tags: burn-severity, burned-area, continental-u-s, conus, differenced-normalized-burn-ratio, fire-location, fire-occurrence, fws, imagerybasemapsearthcover, landsat, location, normalized-burn-ratio, prescribed-fire, sentinel, united-states, us, usgs-65b1918cd34e36a39044c5d0, wildfire, wildland-fire
Organization: Department of the Interior
Whooping crane stopover habitat use and migration movement data in relation to drought severity, 2010-2022

Wildlife species face threats from climate and land use change, which may exacerbate how extreme climatic events influence population persistence and biodiversity. Migratory waterbirds are especially vulnerable to hydrological drought via reduced availability of surface water habitats. We assessed how whooping cranes, an endangered species in the U.S. and Canada, modified habitat use and migration strategies during drought to understand this species’ resilience to changing conditions and adaptive capacity. The data included 8,555 night-roost sites used by 145 cranes, 2010–2022, under non-drought conditions, moderate drought, and extreme drought conditions.

Tags: alberta, biota, birds, colorado, environment, iowa, kansas, manitoba, migration-organisms, migratory-birds, minnesota, missouri, montana, nebraska, north-dakota, oklahoma, plant-and-animal-tagging, saskatchewan, south-dakota, texas, usgs-65788458d34e952b227465c5
Organization: Department of the Interior
Daily reference and potential evapotranspiration, and supporting meteorological data from weather stations, solar insolation data from the GOES satellite, and blue-sky albedo data from the MODIS satellite, Florida, 2022

Potential evapotranspiration (PET), and reference evapotranspiration (ETo) are estimated at an approximately 2-kilometer (approximately 0.019 degrees longitude and 0.018 degrees latitude) spatial grid and daily time-scale from January 1, 2022 to December 31, 2022 for the entire State of Florida. PET and ETo were computed on the basis of solar radiation, meteorological data (min/max temperature, min/max relative humidity, and mean wind speed at 2-meter height), and shortwave blue-sky albedo data. Solar radiation was computed from Geostationary Operational Environmental Satellite (GOES) sensor data; blue-sky albedo was computed from the Moderate Resolution Imaging Spectrometer (MODIS) MCD43A1 BRDF/Albedo data product; and meteorological data were obtained from weather stations maintained by the Florida Automated Weather Network (FAWN), the South Florida Water Management District (SFWMD), and the National Oceanic and Atmospheric Administration (NOAA). Open-source tools for managing the NetCDF files in this data release can be found at https://code.usgs.gov/jbellino/florida-goes-et.

Tags: evapotranspiration, north-florida-water-management-district, potential-evapotranspiration, reference-evapotranspiration, solar-radiation, south-florida-water-management-district, southwest-florida-water-management-district, st-johns-river-water-management-district, state-of-florida, suwannee-river-water-management-district, usgs-65787ccfd34e952b2274656a, water-budget
Organization: Department of the Interior
Greenhouse gas fluxes and dissolved greenhouse gas concentrations from wetland soil microcosms treated with herbicides

This data release presents data from a laboratory microcosm study examining the potential effects of herbicide application on the production and flux of greenhouse gases from wetland soils. Wetland soils were placed into glass mason jars and covered with water. Microcosms were treated with varying concentrations (none, low, medium, high) and combinations of the herbicides glyphosate and 2,4-D. Following herbicide application greenhouse gas fluxes were measured and concentrations of dissolved greenhouse gases were determined periodically over a 21-day period.

Tags: 24-d, glyphosate, greenhouse-gases, inlandwaters, laboratory-experiments, usgs-6578792ad34e952b2274654c, wetland-ecosystems
Organization: Department of the Interior
Nutrient and sediment concentrations, loads, yields, and rainfall characteristics collected at a USGS subsurface-tile edge-of-field agricultural monitoring site in South Central Michigan within the Maumee River Basin, 2019-2023

This data release contains nutrient and sediment concentrations, loads, and yields from a USGS subsurface-tile edge-of-field (EOF) agricultural monitoring site. Sampling and flow monitoring were performed at the outlet of a subsurface-tile that drains 14.7 acres of cultivated cropland. The site is located in South Central Michigan and discharges into a headwater stream of the Maumee watershed. Through a cooperative agreement between the USGS and the USDA Natural Resources Conservation Service (NRCS) in Michigan, data was collected from May 22, 2019, through March 19, 2023. Water quality and rainfall metrics are summarized by individual flow events to evaluate the contribution of EOF losses to a headwater stream. The methods used to collect this data followed USGS EOF monitoring methods (https://pubs.usgs.gov/of/20081015/) and the contents of this data release are consistent with a related EOF data release (Komiskey et. al 2023). Flow data, including total flow volume, flow-weighted mean concentrations, total loads, and total yields, were computed for each flow event. A flow event was defined as any period of flow at a station that was classified as a storm and represents flow that was related to rainfall or snowmelt. In the combined flow and rain table, multiple flow events were combined if they occurred within 2 hours of each other, to account for similar rainfall/runoff characteristics. Linked to each flow event, rainfall metrics were computed (rain total, duration, intensity, erosivity, and antecedent rainfall). Rain metrics were also computed for the entire rainfall record, which are in the rain event table. Similar to the combined flow-related rain metrics, rainfall was combined into a single event if it occurred within 2 hours of the previous rainfall. There were occurrences of continuous flow between rain events, which were not associated with a period of rainfall or snowmelt, likely due to excessive soil saturation or shallow groundwater discharge. These periods of intermittent tile discharge were not classified as a storm. Monitoring was conducted year-round to evaluate flow characteristics among seasons and variation in weather, field conditions, and agricultural activities.

Tags: agriculture, erosion, farming, field-inventory-and-monitoring, great-lakes, hillsdale-county, michigan, nutrient-content-water, precipitation-atmospheric, runoff, suspended-material-water, usgs-657870bfd34e952b2274653d, water-quality
Organization: Department of the Interior
Nitrogen and phosphorus inputs from fertilizer and manure in the Continental United States, 2002-2017

This dataset contains tables of estimated fertilizer and manure nutrient inputs in kilograms to individual stream catchments of the continental United States from the National Hydrography Dataset Plus Version 2.1 (McKay and others, 2012). These data were downscaled from county-level estimates of nitrogen and phosphorus inputs from Falcone (2021) by allocating mass of applied nutrients to appropriate land-cover from the National Land Cover Dataset and summarizing by catchment. These data were compiled for the years 2002, 2007, 2012, and 2017. This data release contains 8 comma separated variable tables that can be linked to the NHD Plus v2 dataset using the COMID unique identifier. Four of these tables contain information on total nitrogen and total phosphorus from fertilizer applications on agricultural and developed lands. The remaining 4 tables contain information on total nitrogen and total phosphorus from confined and unconfined animal manure sources.

Tags: biota, environment, farming, geoscientificinformation, inlandwaters, usgs-65787037d34e952b22746538
Organization: Department of the Interior
LANDFIRE 2022 Vegetation Departure (VDep) HI

LANDFIRE’s (LF) 2022 Vegetation Departure (VDep) product categorizes departure between current vegetation condition and reference vegetation condition, according to the methods outlined in the Interagency Fire Regime Condition Class Guidebook (FRCC Guidebook (Hann et al 2010)). VDep differs from the FRCC Guidebook, however, because it is based on the departure of current vegetation condition only, whereas the FRCC Guidebook approach includes departure of current fire regimes for the reference period. For VDep, summary units are defined as a BioPhysical Setting (BpS) with identical reference condition values regardless of map zone. For example, when a BpS is present in map zone 1, 2, 4, 5, 6 and 8, the reference conditions for this BpS are identical in map zones 1, 2, 4, 5, and 8, those map zones become a summary unit for VDep computation. Since reference conditions are unique for this BpS in map zone 6, it is a separate summary unit for calculating VDep. Within each BpS summary unit, we compare the reference percentage of each Succession Class (SClass) to the current percentage, then the smaller of the two is summed to determine the similarity index for the BpS. This value is then subtracted from 100 to determine the departure value, VDep value is always between 0 and 100, with 100 representing maximum departure. 
Reference conditions are derived from quantitative vegetation dynamics models that mimic native, pre-European colonization disturbance regimes. The current conditions are derived from the corresponding LF 2022 SClass data for each BpS. The proportion of the landscape occupied by each SClass, in each BpS unit, within each summary unit represents current condition of that SClass in VDep calculation. VDep is based entirely on the remaining area of each BpS unit that is occupied by valid SClasses. Each pixel in a BpS within a summary unit has the same VDep value.

Tags: biota, fires, geographic-information-systems, geospatial-datasets, hawaii, hazard-preparedness, hi, image-collections, imagerybasemapsearthcover, landfire-2022, lf-2022, raster-digital-data, remote-sensing, u-s-forest-service-usfs, u-s-geological-survey-usgs, united-states, us, usgs-65777bf0d34e952b2274628a, vdep, vegetation-departure
Organization: Department of the Interior
LANDFIRE 2022 Vegetation Condition Class (VCC) HI

LANDFIRE’s (LF) 2022 Vegetation Condition Class (VCC) is a reclassification and categorization of the LF 2022 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. To learn more about VCC and VDep go to https://www.landfire.gov/fireregime.php. 
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, fires, geographic-information-systems, geospatial-datasets, hawaii, hazard-preparedness, hi, image-collections, imagerybasemapsearthcover, landfire-2022, lf-2022, raster-digital-data, remote-sensing, u-s-forest-service-usfs, u-s-geological-survey-usgs, united-states, us, usgs-65777bb5d34e952b22746285, vcc, vegetation-condition-class
Organization: Department of the Interior
LANDFIRE 2022 Succession Class (SClass) HI

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, fires, geographic-information-systems, geospatial-datasets, hawaii, hazard-preparedness, hi, 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-65777b6fd34e952b2274627c
Organization: Department of the Interior
LANDFIRE 2022 Vegetation Departure (VDep) CONUS

LANDFIRE’s (LF) 2022 Vegetation Departure (VDep) product categorizes departure between current vegetation condition and reference vegetation condition, according to the methods outlined in the Interagency Fire Regime Condition Class Guidebook (FRCC Guidebook (Hann et al 2010)). VDep differs from the FRCC Guidebook, however, because it is based on the departure of current vegetation condition only, whereas the FRCC Guidebook approach includes departure of current fire regimes for the reference period. For VDep, summary units are defined as a BioPhysical Setting (BpS) with identical reference condition values regardless of map zone. For example, when a BpS is present in map zone 1, 2, 4, 5, 6 and 8, the reference conditions for this BpS are identical in map zones 1, 2, 4, 5, and 8, those map zones become a summary unit for VDep computation. Since reference conditions are unique for this BpS in map zone 6, it is a separate summary unit for calculating VDep. Within each BpS summary unit, we compare the reference percentage of each Succession Class (SClass) to the current percentage, then the smaller of the two is summed to determine the similarity index for the BpS. This value is then subtracted from 100 to determine the departure value, VDep value is always between 0 and 100, with 100 representing maximum departure. 
Reference conditions are derived from quantitative vegetation dynamics models that mimic native, pre-European colonization disturbance regimes. The current conditions are derived from the corresponding LF 2022 SClass data for each BpS. The proportion of the landscape occupied by each SClass, in each BpS unit, within each summary unit represents current condition of that SClass in VDep calculation. VDep is based entirely on the remaining area of each BpS unit that is occupied by valid SClasses. Each pixel in a BpS within a summary unit has the same VDep value.

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, u-s-forest-service-usfs, u-s-geological-survey-usgs, united-states, us, usgs-65777b41d34e952b2274626e, vdep, vegetation-departure
Organization: Department of the Interior
LANDFIRE 2022 Vegetation Condition Class (VCC) CONUS

LANDFIRE’s (LF) 2022 Vegetation Condition Class (VCC) is a reclassification and categorization of the LF 2022 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. To learn more about VCC and VDep go to https://www.landfire.gov/fireregime.php. 
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-2022, lf-2022, raster-digital-data, remote-sensing, u-s-forest-service-usfs, u-s-geological-survey-usgs, united-states, us, usgs-65777affd34e952b22746264, vcc, vegetation-condition-class
Organization: Department of the Interior
Survey of potential viral pathogens in the ceca of pen-raised mallards

The threat posed by infectious diseases are a major concern for global public health and the role of migratory birds in pathogen transmission is increasingly under scrutiny. Enteric viral pathogen surveillance in migratory birds is a critical component of outbreak preparedness. The shedding of such pathogens through excrement into bodies of water located at migratory stop-over sites and breeding and wintering grounds creates conditions to potentially infect millions of birds annually. The mallard is the most abundant of all duck species and migratory across much of its range. Here we characterized enteric viral pathogens from the cecum of 16 captive raised mallards (Anas platyrhynchos) from Wisconsin, USA using metagenomics. Four families of viral pathogens from our study of Mallard cecum viromes - Picobirnaviridae (Genogroup I), Caliciviridae (Duck Nacovirus), Picornaviridae (Duck Aalivirus) and Sedoreoviridae (Duck Rotavirus G) - were recovered. To our knowledge, this is the first report of Aalivirus in the Americas, and the first report of Calicivirus in wild birds in the United States.

Tags: biota, environment, environmental-health-human, health, pathogens, usgs-65775ea9d34e952b227461a3, viruses
Organization: Department of the Interior
Estimates of avian influenza transmission risk across the wild waterfowl - domestic poultry interface.

These data describe the creation, execution, and results of an effort to model the risk of avian influenza transmission across the wild waterfowl - domestic poultry interface at weekly intervals for the contiguous United States.

Tags: avian-influenza, poultry, usgs-65775d6ad34e952b22746199, wild-waterfowl
Organization: Department of the Interior
Three-dimensional point cloud data collected with a scanning total station on the western shoreline of the Shinnecock Nation Tribal Lands, Suffolk County, New York, 2022

This data release contains about 60 million point cloud data points collected during 27 scans of a section of the western shoreline of the Shinnecock Peninsula in Suffolk County, New York. Data were collected during July and October of 2022. Data are provided as .las files with points classified as either bare earth (GROUND_SN_BRIC_BL_2022_v03.0 (2).las), vegetation (VEGETATION_SN_BRIC_BL_2022_v03.0.las) or unclassified (DEFAULT_SN_BRIC_BL_2022_v03.0.las). Users are encouraged to read the metadata and Noll and others (2024) to understand how the data were collected, registered, and classified.

Tags: coastal-processes, elevation, environment, erosion, geospatial-datasets, long-island, new-york, oceans, suffolk-county, topography, usgs-65774aa6d34e952b227460e4
Organization: Department of the Interior