AndreaBozzo/ceres-open-data-index huggingface dataset:
Combined wildfire datasets for the United States and certain territories, 1800s-Present (summary rasters)

First, we would like to thank the wildland fire advisory group. Their wisdom and guidance helped us build the dataset as it currently exists. Currently, there are multiple, freely available wildland fire datasets that identify wildfire and prescribed fire areas across the United States. However, these datasets are all limited in some way. Time periods, spatial extents, attributes, and maintenance for these datasets are highly variable, and none of the existing datasets provide a comprehensive picture of wildfires that have burned since the 1800s. Utilizing a series of both manual processes and ArcGIS Python (arcpy) scripts, we merged 40 of these disparate datasets into a single dataset that encompasses the known wildfires within the United States from the 1800s to the present. These datasets were ranked by order of observed quality, and overlapping polygons in the same year were used individually or dissolved together with other polygons based on ranked quality (see individual steps in the polygon metadata for full details). The fire polygons were turned into 30 meter rasters representing various summary counts: (a) count of all wildland fires that burned a pixel, (b) count of wildfires that burned a pixel, (c) the first year a wildfire burned a pixel, (d) the most recent year a wildfire burned a pixel, and (e) count of prescribed fires that burned a pixel.

Tags: burned-area, environment, fire, fires, first-year-burned, geospatial-datasets, most-recent-year-burned, north-america, number-of-times-burned, prescribed-fire, raster, united-states, usgs-61aa5483d34eb622f699df85, wildfire
Organization: Department of the Interior
Combined wildfire datasets for the United States and certain territories, 1800s-Present (combined wildland fire polygons)

First, we would like to thank the wildland fire advisory group. Their wisdom and guidance helped us build the dataset as it currently exists. Currently, there are multiple, freely available fire datasets that identify wildfire and prescribed fire burned areas across the United States. However, these datasets are all limited in some way. Their time periods could cover only a couple of decades or they may have stopped collecting data many years ago. Their spatial footprints may be limited to a specific geographic area or agency. Their attribute data may be limited to nothing more than a polygon and a year. None of the existing datasets provides a comprehensive picture of fires that have burned throughout the last few centuries. Our dataset uses these existing layers and utilizes a series of both manual processes and ArcGIS Python (arcpy) scripts to merge these existing datasets into a single dataset that encompasses the known wildfires and prescribed fires within the United States and certain territories. Forty different fire layers were utilized in this dataset. First, these datasets were ranked by order of observed quality (Tiers). The datasets were given a common set of attribute fields and as many of these fields were populated as possible within each dataset. All fire layers were then merged together (the merged dataset) by their common attributes to created a merged dataset containing all fire polygons. Polygons were then processed in order of Tier (1-8) so that overlapping polygons in the same year and Tier were dissolved together. Overlapping polygons in subsequent Tiers were removed from the dataset. Attributes from the original datasets of all intersecting polygons in the same year across all Tiers were also merged so that all attributes from all Tiers were included, but only the polygons from the highest ranking Tier were dissolved to form the fire polygon. The resulting product (the combined dataset) has only one fire per year in a given area with one set of attributes. While it combines wildfire data from 40 wildfire layers and therefore has more complete information on wildfires than the datasets that went into it, this dataset has also has its own set of limitations. Please see the Data Quality attributes within the metadata record for additional information on this dataset's limitations. Overall, we believe this dataset is designed be to a comprehensive collection of fire boundaries within the United States and provides a more thorough and complete picture of fires across the United States when compared to the datasets that went into it.

Tags: biota, burned-area, environment, fire, fires, geospatial-datasets, north-america, polygon, prescribed-fire, united-states, usgs-61aa537dd34eb622f699df81, wildfire
Organization: Department of the Interior
Uncultivated plant water use (riparian evapotranspiration) and consumptive use data for selected areas of the Little Colorado River watershed on the Navajo Nation, Arizona

These data were compiled to provide Fred Phillips Consultants with an estimate of river and stream vegetation (riparian) water use within the Little Colorado River (LCR) Watershed in Arizona, specifically providing an estimate of riparian plant area ET (mm/day and in mm/year) for actual remotely-sensed estimates of ETa and CU for at least one year of data (i.e., 2020). Objectives of our study were to measure five water metrics for the Little Colorado River watershed region on the Navajo Nation. These water metrics represent data including precipitation (P), potential evapotranspiration (ETo), actual evapotranspiration (ETa), net water requirement (WR) or the water difference (WD) between ETa and rainfall, and consumptive water use for a given riparian acreage (CU). These data were processed as 30m Landsat, using hdf format, and then .tif files were created for the location (study area) of riparian vegetation along the rivers and streams selected within the Little Colorado River watershed and dates from January 2014 through December 2020. These data were collected using digitized polygons for riparian shrubs and trees in ArcGIS by Fred Phillips Consultants and the water metric data was created in the University of Arizona, Vegetation Index and  Phenology lab, using Landsat OLI imagery and Daymet weather data between 2014-2020. These data are useful to land and water managers across all levels of government, but these accurate and current estimates of riparian plant evapotranspiration and consumptive water use along the Little Colorado River tributaries and streams are especially valuable to the Navajo Nation, particularly for the adjudication of water rights.

Tags: 30m-landsat, actual-evapotranspiration, arizona, biota, climatologymeteorologyatmosphere, consumptive-water-use, daymet-weather-data, evapotranspiration, geospatial-datasets, image-collections, imagerybasemapsearthcover, landsat-images, landsat-oli-imagery, little-colorado-river, little-colorado-river-watershed, navajo-nation, net-water-requirement, potential-evapotranspiration, precipitation-atmospheric, raster-dataset, remote-sensing, riparian-plant-evapotranspiration, river-ecosystems, time-series-datasets, usgs-61aa3717d34eb622f699df00, water-difference, water-metrics, water-use, wetland-ecosystems
Organization: Department of the Interior
Digital Elevation Model (DEM) at 50 m resolution for the Everglades Depth Estimation Network (EDEN)

Since its inception, the Everglades Depth Estimation Network (EDEN) has used the High Accuracy Elevation Dataset (HAED) digital elevation model (DEM) to provide scientists and managers with continuous water depth surfaces, derived from interpolated water stage, on a 400 X 400 meter grid. A new, high resolution LiDAR-based DEM is available through a collaboration between Everglades National Park (ENP) and the U.S. Geological Survey (USGS) 3D Elevation Program (3DEP). This new DEM covers the southern part of the EDEN extent, including a large area of ENP and a portion of southeast Big Cypress National Preserve. It is provided at a resolution of 0.5 meters but contains data voids in surface water areas where the LiDAR was unable to provide adequate return (which can be caused by submerged vegetation or high turbidity). We have used multiple methods to fill these data voids and create a continuous high-resolution product for scientists, managers, and other EDEN users in the Greater Everglades. The DEM provided here was aggregated to a 50 m resolution to maintain an easily downloadable file size.

Tags: digital-elevation-models, elevation, everglades, geoscientificinformation, lidar, southern-florida, usgs-61aa299ad34eb622f699dedf
Organization: Department of the Interior
Amphibian chytrid swab data from Churchill County, Nevada (2019-2021)

This dataset includes results from external skin swabbing of Anaxyrus williamsi and Lithobates catesbeianus to test for the fungus Batrachochytrium dendrobatidis from the Dixie Valley in Churchill County, Nevada, in 2019-2021.

Tags: amphibians, biota, churchill-county, dixie-meadows, usgs-61a94e2cd34eb622f699a8e6, wildlife-disease
Organization: Department of the Interior
Cold-weather air and subsurface temperature profiles of three different permeable pavements, Madison, Wisconsin, between 2014 and 2021

Corrected and aggregated temperature data from the subsurface of three permeable pavement types [permeable interlocking concrete pavers (PICP), pervious concrete (PC), and porous asphalt (PA)] collected in Madison, Wisconsin between November 1 and April 30 (cold-weather periods), 2014-2021 are in this data release. Temperature data was corrected through removal of intermittent erroneous values such as sudden and extreme changes in data values that could not be explained. Raw corrected datasets containing one minute data for PICP, PC, and PA are part of this data release. An average hourly temperature dataset, produced by averaging raw corrected data for the nine probes at each corresponding depth (0, 15, and 30 centimeters below the permeable base) to produce a single dataset representative of each individual depth in each pavement type (PICP, PC, PA), is also part of this data release. The average hourly dataset is broken down further into a “simultaneous dataset”, which includes 303 days of cold weather data where all depths of all three permeable surface types were operating simultaneously and a “unique dataset”, which is a collection of all temperature data when equipment was working and includes the “simultaneous dataset.” This larger dataset has 853 days of data from PICP, 402 days from PC, and 815 days from PA. Date ranges for available data and a vertical profile of the of the study installation are also included in the data release.

Tags: air-temperature, city-of-madison, dane-county, nonpoint-source-pollution, runoff, soil-temperature, usgs-61a93820d34eb622f699a7ad, water-pollution, water-quality, water-temperature
Organization: Department of the Interior
Orthomosaic imagery from the UAS survey of the coral reef off Waiakane, Molokai, Hawaii, 24 June 2018

This portion of the data release presents a high-resolution orthomosaic image of the coral reef off Waiakane, Molokai, Hawaii. The orthomosaic has a resolution of 2.5 centimeters (cm) per pixel and was derived from structure-from-motion (SfM) processing of aerial imagery collected with an unoccupied aerial system (UAS) on 24 June 2018. The raw imagery used to create the orthomosaic was acquired using a UAS fitted with a Ricoh GR II digital camera featuring a global shutter. The UAS was flown on pre-programmed autonomous flight lines spaced to provide approximately 75 percent overlap between images from adjacent lines. The UAS was flown at an approximate altitude of 100 meters above ground level (AGL), resulting in a nominal ground-sample-distance (GSD) of 2.6 centimeters per pixel. The camera was triggered at 1 Hz using a built-in intervalometer. The raw imagery was geotagged using positions from the UAS onboard single-frequency autonomous GPS. Although imagery was collected using both a circular polarizing filter and with no polarizing filter, only the non-polarized imagery was used for the creation of the orthomosaic. SfM photogrammetry was used to derive a preliminary digital surface model (DSM) from this imagery which was used as a surface for orthorectification and mosaicking. The orthomosaic image is provided in a three-band RGB format, with 8-bit unsigned integer values compressed using high-quality JPEG compression. The image has been formatted as a cloud-optimized GeoTIFF with internal overviews and masks to facilitate cloud-based queries and display.

Tags: aerial-and-satellite-photography, aerial-photography, altimetry, chmrp, coastal-and-marine-hazards-and-resources-program, coastal-processes, coral-reefs, fringing-reef, geomorphology, geospatial-datasets, image-mosaics, imagerybasemapsearthcover, kalohi-channel, maui-county, molokai, orthophotography, pacific-coastal-and-marine-science-center, pcmsc, photography, reef, remote-sensing, sfm, state-of-hawaii, structure-from-motion, substrate, topographic-maps, topography, u-s-geological-survey, uas, unmanned-aerial-system, usgs, usgs-61ae9e45d34eb622f69a732b, waiakane
Organization: Department of the Interior
Injury and abnormality data for southwestern pond turtles (Actinemys pallida) from 3 sites along the Mojave River, California from separate surveys in 1998-1999 and 2017-2019

These data were compiled to assess the size, structure, and health of various populations of Actinemys pallida along the length of the Mojave River. Objective(s) of our study were to determine the extent of injuries and abnormalities within our Actinemys pallida populations (including statistical analyses comparing injuries with turtle sex and size)  and estimate the cause(s) of the injuries and abnormalities. These data represent injuries and abnormalities from the effects of physical hazards encountered by turtles in their habitats. These data were collected in the Mojave Desert of California at three separate study sites along a length of the Mojave River in San Bernardino County between May 1998–October 1999 and from April 2016–September 2019. These data were collected by scientists at the southwest Biological Science Center, U.S. Geological Survey. Turtles were captured either by hand or through the use of hoop traps baited with sardines. Data were collected during field observation and later re-evaluated by use of field data sheets and photographs taken at the time of capture. These data can be used to monitor the physical health of the populations along the Mojave River and for comparisons to other populations of Actinemys pallida.

Tags: abnormalities, actinemys-pallida, afton-canyon-area-of-critical-environmental-concern, biogeography, biota, california, camp-cady-wildlife-area, capture, datasets, ecology, field-data, field-inventory-and-monitoring, habitats, health, hoop-traps, injuries, mojave-desert, mojave-river, physical-health, population-and-community-ecology, san-bernardino-county, sexing-plants-amp-animals, size, structures-animal-constructed, traps, turtles, usgs-61a91fabd34eb622f699a73a
Organization: Department of the Interior
Interannual Breeding Movements of Brown Pelicans in the South Atlantic Bight

This dataset contains locations acquired from GPS-tagged Brown Pelicans in the South Atlantic Bight. Locations correspond to the movements of pelicans tracked for &gt;1 reproductive attempt, and include only locations from May - July of each year, with the goal of identifying likely nest locations using GPS data.

Tags: biota, brown-pelican, fidelity, usgs-61a900a5d34eb622f699a6c9
Organization: Department of the Interior
Database of Ciénega Locations in Southwestern United States and Northern Mexico

Ciénegas, as defined here, are wetlands in arid and semi-arid regions associated with groundwater or lotic components that ideally result in perennial waters on temporal scales of decades to centuries. Ciénegas are typically no lower than 0 m, and higher than 2000 m, rarely lower but sometimes higher elevation localities occur. Ciénegas are typified by significant differences in flora and fauna relative to the greater terrestrial conditions in the region in which it is located. Ciénegas are freshwater to brackish North American wetlands associated with fluvial systems of arid/semi-arid areas of the southwestern U.S. and northwestern Mexico. Once extensively utilized by the region's indigenous human cultures, early European explorers and settlers, the extent of these aquatic riparian communities has dramatically decreased from historic conditions and the community is now considered imperiled in North America. This dataset provides location information and some limited attributes of ciénegas in the southwestern U.S. and northern Mexico. There is no information as to the size of the ciénega and other important attributes.

Tags: arid-lands, cienaga, cienega, freshwater-marsh, inlandwaters, northern-mexico, southwestern-u-s, springs, usgs-61a80c96d34eb622f6985e49, wetland-ecosystems
Organization: Department of the Interior
Arbuscular mycorrhizal fungi in remnant and reconstructed prairies in Minnesota and Iowa, 2019 (ver. 2.0, April 2022)

This data record contains arbuscular mycorrhizal fungi (AMF) operational taxonomic unit (OTU) occurrences with native prairie plant species roots collected from paired remnant and reconstructed prairies, as well as soil physical and chemical property data from these field sites in Minnesota and Iowa.

Tags: biota, fungi, grassland-ecosystems, iowa, jasper-county, kandiyohi-county, meeker-county, minnesota, otter-tail-county, plants-organisms, species-diversity, swift-county, symbiosis, traverse-county, usgs-61a6a6d6d34eb622f6978ddf, vegetation
Organization: Department of the Interior
Climate and drought adaptation: historical and projected future exposure metrics for Southeastern Utah Group National Parks

These data were compiled to evaluate the magnitude and direction of change from historical conditions in climate metrics across the Southwestern Utah Group (SEUG) of National Parks. Objective(s) of our study were to quantify the magnitude and direction of change from historical conditions in climate metrics across SEUG parks at a meaningful scale for land managers and practitioners. These data represent the historical and projected future average temperatures for two emission scenarios and 12 global circulation models. Included are the annual average temperatures and the average temperatures for each season. These data were created by sampling representative locations across each National Park unit and simulating daily variables using the SOILWAT2 ecosystem water-balance model. These data were created by a collaboration between the U.S. Geological Survey - Southwest Biological Science Center and the National Park Service SEUG to model the historical and projected future climate variables for each national park unit. These data can be used to evaluate future climate conditions in the SEUG National Park units for management actions.

Tags: air-temperature, arches-national-park, atmospheric-and-climatic-processes, atmospheric-circulation, baseline-conditions, biota, canyonlands-national-park, climate-change, climate-metrics, climatologymeteorologyatmosphere, colorado-plateau, data-release, ecosystem-management, effects-of-climate-change, emission-scenarios, environment, future-climate-conditions, geoscientificinformation, global-circulation-models, historical-average-temperatures, historical-climate-variables, historical-conditions, hovenweep-national-monument, land-managers, mathematical-modeling, mathematical-simulation, modeling, national-monument, national-park, natural-bridges-national-monument, natural-resource-management, point-sampling, projected-future-average-temperatures, projected-future-climate-variables, representative-concentration-pathway-4-5, representative-concentration-pathway-8-5, seasons, soilwat2, southcentral-utah, southeast-utah, usgs-61a6952fd34eb622f6978d9f, utah
Organization: Department of the Interior
Thin section images of hand samples from the Crocodile Lake and Cucumber Lake Intrusions, Duluth Complex, Minnesota

This dataset includes photographic images of thin sections created from hand samples collected from the Crocodile Lake and Cucumber Lake Intrusions, Duluth Complex, Minnesota, along with a shapefile representing the locations of the samples. The samples were collected in order to define copper-nickel-platinum-group element resources associated with the Crocodile Lake and Cucumber Lake Intrusions in the Duluth Complex. The images of the entire thin section, both in plane- and cross-polarized light, were taken using a high-resolution digital camera on a macro stand. The data in each zip file is organized into a folder containing the 'RAW' unprocessed .CR2 images and associated .xmp metadata files, and a folder containing processed .jpg images. The file name of each photograph correlates to the sample ID from which the thin section was sourced, and whether the photograph represents a plane-polarized (ppl) or cross-polarized (xpl) light image. For example, the "1608_xpl.jpg" file is a cross-polarized image of the thin section sourced from the 1608 sample. The .jpg and .CR2 images have Section 508 compliant metadata as per USGS section 508 compliancy officer guidelines. The .xmp files are included with the 'RAW' .CR2 files because the original .CR2 metadata cannot be altered. In order to add descriptive information to the metadata, the .xmp files must be included. The edited image metadata for the .jpg files can be viewed using software such as Adobe Photoshop, Adobe Elements, or windows file explorer. The raw .CR2 images edited metadata can be viewed in Adobe Photoshop and Adobe Elements, but is not viewable using windows file explorer. For the .CR2 images, only the original metadata, created when the photograph was taken, can be be viewed using windows file explorer.

Tags: geoscientificinformation, petrography, usgs-61a68a43d34eb622f6978d63
Organization: Department of the Interior