AndreaBozzo/ceres-open-data-index huggingface dataset:
US Fish and Wildlife Service Fire Atlas- Burn Severity Mosaic for CONUS in 1990

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 1990. 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-65b17439d34e36a39044c38a, wildfire, wildland-fire
Organization: Department of the Interior
US Fish and Wildlife Service Fire Atlas- Burn Severity Mosaic for CONUS in 1988

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 1988. 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-65b172ebd34e36a39044c28c, wildfire, wildland-fire
Organization: Department of the Interior
US Fish and Wildlife Service Fire Atlas- Burn Severity Mosaic for CONUS in 1987

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 1987. 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-65b17222d34e36a39044c1be, wildfire, wildland-fire
Organization: Department of the Interior
Calibration data and model archive summaries for suspended-sediment, total nitrogen, and total phosphorus concentration surrogate models at USGS station 01575900, Chiques Creek near Marietta, Pennsylvania, 2021-2023

The U.S. Geological Survey (USGS), in cooperation with the U.S. Department of Agriculture Natural Resources Conservation Service (USDA NRCS) has collected discrete stream samples for analysis of suspended-sediment, total nitrogen, and total phosphorus at the real-time streamflow and water-quality monitoring (turbidity and nitrate) station 01575900, Chiques Creek Near Marietta, Pennsylvania. Data were collected from 2021-2023 at this station for the application of predicting suspended-sediment, total nitrogen, and total phosphorus concentrations using real-time continuous turbidity, nitrate, and streamflow. Regression equations via Ordinary Least Squares were developed by relating discrete sample suspended-sediment concentrations and continuous turbidity, discrete sample total nitrogen concentrations and continuous nitrate plus nitrite, and total phosphorus concentrations and continuous turbidity data, and streamflow data. Regression equations include possible explanatory variables (independent variables) of continuous turbidity, continuous nitrate, streamflow, and calculated seasonal terms; and the response variables (dependent variables) of suspended-sediment, total nitrogen, and total phosphorus concentration using base-10 logarithmic (log10) or natural log (ln) transformations as appropriate on both the discrete and continuous data.
Data files in .csv format for SSC, TN, and TP models include the variables of datetime (nearest 15-minute in-stream measurements), sample datetime (exact time of sample), suspended-sediment, and total phosphorus concentrations (in milligrams per liter, mg/L), turbidity (in formazin nephelometric units, FNU), streamflow (Q, cubic feet per second, cfs), suspended-sediment particles classified as “fine” (smaller than 0.0625 millimeters, in percent), the log base 10 transformed variables of suspended-sediment and phosphorus concentrations, log-10 turbidity, log-10 streamflow, and the calculated seasonal terms of JulianDay (Julian Day, integer representation of day of year), sin(2*pi*Julian Day/365), and cos(2*pi*Julian Day/365), and sand (suspended-sediment particles classified as “sand”, 100 – fines, in percent).
Data sources for models:
For the models developed for station 01575900, discrete and continuous data are based on data from station 01575900.

Tags: lancaster, nutrient-content-water, pennsylvania, surface-water-quality, suspended-material-water, suspended-sediment, usgs-65b170a2d34e36a39044c04d
Organization: Department of the Interior
US Fish and Wildlife Service Fire Atlas- Burn Severity Mosaic for CONUS in 1986

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 1986. 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-65b16dfcd34e36a39044bd26, wildfire, wildland-fire
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2005, 2008, 2012, 2015, 2018, and 2021 Site 0605 land-water matrix

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring to determine the efficacy of these projects. 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 six land-water products (2005, 2008, 2012, 2015, 2018, and 2021).  The resulting matrix has 64 possible classes defined by the combination of land and water categories on those six dates.

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-6569ff7cd34e6dde1a4ae2d5, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Greater sage-grouse genetic data and R code for evaluating conservation translocations in the northwestern United States, 1992–2021 (ver. 1.1, December 2024)

Conservation translocations are a common wildlife management tool that can be difficult to implement and evaluate for effectiveness. Genetic information can provide unique insight regarding local impact of translocations (e.g., presence and retention of introduced genetic variation) and identifying suitable source and recipient populations (e.g., adaptive similarity). We developed two genetic data sets and wrote statistical code to evaluate conservation translocation effectiveness into the isolated northwestern region of the greater sage-grouse (Centrocercus urophasianus) distribution and to retrospectively evaluate adaptive divergence among source and recipient populations. Our first data set was microsatellite-based and derived from biological samples (feathers, tissue, and blood) collected from the translocation source populations and the northwestern recipient populations (in Washington state) before and after translocation. These data were used to evaluate neutral change in genetic variation resulting from translocation efforts. We wrote code for statistical analyses to evaluate two things in our microsatellite-based data. First, we developed a simulation model to predict the genetic effect of conservation translocations and compare the predictions to what was observed. Second, we developed a statistical model to estimate the probability that individuals sampled post-translocation are the offspring of two individuals from the same population or from individuals from two distinct populations. Our second data set was whole-genome sequencing data (derived from tissue and blood samples) for the source and Washington populations prior to translocation efforts. These data were used to characterize genome-wide adaptive divergence patterns that may influence translocation outcomes.

Tags: biological-population-management, biota, centrocercus-urophasianus, conservation-genetics, conservation-translocation, genetic-diversity, genetic-monitoring, greater-sage-grouse, idaho, nevada, oregon, united-states, usgs-65b431dfd34e36a390458e43, washington, western-united-states, wildlife-management, wildlife-population-management
Organization: Department of the Interior
US Fish and Wildlife Service Fire Atlas- Burn Severity Mosaic for CONUS in 1985

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 1985. 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-65b1679cd34e36a39044b51c, wildfire, wildland-fire
Organization: Department of the Interior
US Fish and Wildlife Service Fire Atlas- Burn Severity Mosaic

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 2010. 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-65b16535d34e36a39044b2b4, wildfire, wildland-fire
Organization: Department of the Interior
Campaign GPS measurements on the Island of Hawai`i collected by the Hawaiian Volcano Observatory in 2021

This release includes data collected during campaign GPS surveys at Kīlauea and Mauna Loa Volcanoes on the Island of Hawai`i in 2021. It includes data from a total of 63 sites occupied from January 1 to December 31, 2021. For each site, we include its measured raw data in daily files,  Receiver INdependent EXchange (RINEX) files for each day, field log sheet(s), and associated metadata information. We also include include a few days of data at the end of 2020 at 3 longer-term campaign sites at Kīlauea’s summit. These sites (109Y, NDDB, OVRL) were deployed in late December 2020 in response to the December 20, 2020, Kīlauea summit eruption. The authors thank USGS Hawaiian Volcano Observatory staff, volunteers, and collaborators for helping collect these data.

Tags: biota, field-inventory-and-monitoring, geodesy, geophysics, hawaii-volcanoes-national-park, island-of-hawaii, klauea-volcano, mauna-loa-volcano, usgs-65b15eb7d34e36a39044abd9, volcanic-activity
Organization: Department of the Interior
Global ferromanganese crust and abyssal ferromanganese nodule prospective occurrence regions

This data release is a polygon shapefile representing prospective occurrence regions of ferromanganese crusts and abyssal ferromanganese nodules on the seafloor throughout the global oceans. Polygons represent areas where oceanographic criteria, such as low sedimentation rate and moderate primary productivity, overlap with geologic criteria, including regions with appropriate seafloor morphology for each mineral type, such as seamounts and ridges or abyssal plains. The regions  indicate where ferromanganese crusts and abyssal ferromanganese nodules are likely to occur but do not indicate whether minerals have been found in these regions, nor do they indicate the presence of a mineral deposit.

Tags: agulhas-basin, agulhas-ridge, angola-basin, arctic-ocean, argentine-basin, ascension-fracture-zone, assessments, atlantic-ocean, austral-seamounts, bermuda-rise, bode-verde-fracture-zone, brazil-basin, canada-basin, cape-basin, cape-verde-basin, carnegie-ridge, cascadia-basin, central-pacific-basin, chemical-analysis, chile-rise, clarion-fracture-zone, clipperton-fracture-zone, cmhrp, coastal-and-marine-hazards-and-resources-program, cocos-ridge, corner-seamounts, crest-seamount, crozet-basin, dispatch-seamount, doldrums-fracture-zone, dredge-sampling, earth-sciences, east-tasman-plateau, emperor-seamount-chain, geochemistry, geoscientificinformation, guana-basin, guatemala-basin, guinea-basin, hatteras-plain, hawaiian-ridge, henderson-seamount, hess-rise, indian-ocean, japan-trench, jasper-seamount, kamehameha-basin, kane-fracture-zone, lomonosov-ridge, magellan-rise, manihiki-plateau, mariana-trench, marine-geology, material-resources, mendocino-fracture-zone, metallic-mineral-resources, mid-indian-basin, mid-pacific-mountains, mineral-resources, natal-basin, nazca-ridge, new-england-seamounts, newfoundland-basin, ninetyeast-ridge, nonliving-resources, north-american-basin, northeast-pacific-basin, northwest-pacific-basin, oceanographer-fracture-zone, oceans, pacific-coastal-and-marine-science-center, pacific-ocean, patton-seamounts, pcmsc, penrhyn-basin, peru-basin, peru-chile-trench, physical-chemical-features, puerto-rico-trench, rio-grande-rise, rosa-seamount, samoa, san-paulo-plateau, sediment-geochemistry, shatskiy-rise, sierra-leon-basin, sierra-leon-rise, sohm-plain, south-atlantic-ocean, southeast-pacific-basin, southern-ocean, southwest-indian-ridge, southwest-pacific-basin, spiess-seamount-chain, tasman-escarpment, u-s-geological-survey, usgs, usgs-65b15547d34e36a39044a928, walvis-ridge, wharton-basin
Organization: Department of the Interior
Rapid Assessment of Vegetation Condition after Wildfire (RAVG) Thematic Burn Severity Mosaic for CONUS in 2023

The RAVG (Rapid Assessment of Vegetation Condition after Wildfire) program provides assessments of vegetation conditions following large fires on forested lands. Fire effects are represented by three metrics: percent change in live basal area (BA), percent change in canopy cover (CC), and the standardized Composite Burn Index (CBI). These data are derived from moderate resolution multi-spectral imagery (e.g., Landsat 8 Operational Land Imager or Sentinel-2 Multispectral Instrument). The Relative Differenced Normalized Burn Ratio (RdNBR), which is correlated to the variation of burn severity within a fire, is calculated from a pair of images (pre- and postfire), judiciously selected to capture fire effects. The three-severity metrics are in turn calculated from RdNBR using regression equations developed from and calibrated with historical field data. This map layer is a thematic raster image of MTBS burn severity classes for all inventoried fires occurring in CONUS during calendar year 2023. Fires omitted from this mapped inventory are those where suitable satellite imagery was not available, or fires were not discernable from available imagery.

Tags: ak, alaska, burn-severity, burned-area, continental-u-s, conus, differenced-normalized-burn-ratio, fire-location, fire-occurrence, imagerybasemapsearthcover, landsat, location, normalized-burn-ratio, prescribed-fire, ravg, sentinel, united-states, us, usgs-65b151fad34e36a39044a900, wildfire, wildland-fire
Organization: Department of the Interior
Metabolic Rate, Body Composition, Diet, Behavior, Blood Chemistry, Tri-axial Accelerometer, and GPS Locations of Polar Bears (Ursus maritimus) on Land, Western Hudson Bay, Canada, 2019-2022

This data release includes 4 child items with data regarding metabolic rate, body composition, diet, behavior, blood chemistry, stable isotope, tri-axial accelerometer, and GPS locations of polar bears (Ursus maritimus) on land, Western Hudson Bay, Canada, 2019-2022.
      Child Item 1: "GPS Location Data from Polar Bears (Ursus maritimus) Instrumented on Land, Western Hudson Bay, Canada, 2019-2022"
      Child Item 2: "Metabolic Rate, Body Composition, and Blood Biochemistry Data from Polar Bears (Ursus maritimus) on Land, Western Hudson Bay, Canada, 2019-2022"
      Child Item 3: "Tri-axial Accelerometer and Temperature Data from Polar Bears (Ursus maritimus) Instrumented on Land, Western Hudson Bay, Canada, 2019-2022"
      Child Item 4: "Behavior and Diet Data Derived from Video Camera Collars on Polar Bears (Ursus maritimus) Instrumented on Land, Western Hudson Bay, Canada, 2019-2022"

Tags: animal-behavior, animals-vertebrates, bears, bioenergetics, biogeography, biota, canada, carnivores, coastal-ecosystems, environment, hudson-bay, mammals, marine-ecosystems, marine-mammals, metabolism, polar-bear, species-life-history, ursus-maritimus, use-feeding-habitat, usgs-65b14b72d34e36a39044a8e0, wildlife
Organization: Department of the Interior
Grass Carp (Ctenopharyngodon idella) Egg Diameter Estimates from the Huron River (Ohio), 2022

These data include egg diameter estimates from Grass Carp (Ctenopharyngodon idella) eggs collected during bongo net sampling in the Huron River (Ohio; 41.3305, -82.5812) on May 23, 2022 near Milan, Ohio. Egg diameters were estimated from photographs using proportional relationships of pixel lengths with a known length scale bar in millimeters. Given that eggs were not perfectly spherical, egg diameters were measured across two perpendicular axes and an average was calculated to represent an estimate of egg diameter (mm).

Tags: biota, fish, fish-spawning-and-larval-aggregation, great-lakes, huron-river, huron-river-ohio, invasive-species, lake-erie, ohio, southern-lake-erie, usgs-65b12d35d34ef34c35078b97
Organization: Department of the Interior
Hydroacoustic data for detection of Dreissenid mussels and their habitat in Lake Minnetonka, Minnesota, 2022

Multibeam and sidescan sonar were collected for a total of 15 sites in the North Arm, Maxwell Bay, and St. Albans Bay of Lake Minnetonka, Minnesota, to determine whether hydroacoustics could be used in turbid rivers and lakes as a method of rapid detection for invasive zebra mussel (Dreissena polymorpha) infestations. Hydroacoustic data were collected in June, August, and the end of September, 2022 at all 15 sites. This dataset is composed of bathymetry in the form of digital elevation models and 3D point cloud (in the form of XYZ text file), sidescan sonar image mosaics, and underwater video still images for assessing the detection of Dreissenids using hydroacoustics and underwater video for habitat.

Tags: bathymetry-and-elevation, biota, habitats, image-mosaics, invasive-species, lake, lake-minnetonka, minnesota, physical-habitats-and-geomorphology, sidescan-sonar, usgs-65b129f6d34ef34c350787f8
Organization: Department of the Interior