AndreaBozzo/ceres-open-data-index huggingface dataset:
Digital photographs of bluffs using a remotely piloted unoccupied aerial system in St. Joseph, MI, July 8, 2019 and July 13, 2021

Images were collected using a remotely piloted unoccupied aerial system over the bluffs of the eastern shore of Lake Michigan in St. Joseph rural residential area, Allegan County, MI. The digital imagery was collected with the internal camera of a DJI Phantom 3 PRO for 2019 data and DJI Phantom 4 PRO for 2021 data that was operated by the University of Toledo. on July 13, 2021. They cover an extent between the intersection of Lakeshore Dr. with Lakeshore Road to the north, and South Lakeshore Dr. to the south. Images were collected to monitor active bluff erosion in the area. The images are presented here in zipped files grouped by type of collection, nadir and oblique. The images were collected in .jpg format with red, green, blue (RGB) information and include Exif metadata with GPS date, time, and latitude and longitude, and other fields. These files were used in structure-from-motion (SfM) processing to obtain georeferenced 3D data.

Tags: allegan-county, elevation, erosion, geology-minerals-energy-and-geophysics-science-center, geospatial-datasets, gmeg, image-collections, lake-michigan, mgs, michigan-geological-survey, national-cooperative-geologic-mapping-program, ncgmp, remote-sensing, st-joseph, state-of-michigan, structure-from-motion, u-s-geological-survey, university-of-toledo, usgs, usgs-629a74e0d34ec53d276f4920, ut
Organization: Department of the Interior
Flood Data Collection in Pennsylvania – Site Selection Data for the Development of a Rapid Deployment Network

This dataset consists of Pennsylvania bridge over water locations that are being considered for flood data collection.

Tags: environment, field-inventory-and-monitoring, field-monitoring-stations, floods, geoscientificinformation, hazards, stream-gage-measurement, streamflow, usgs-629a6773d34ec53d276f4882, water-resource-management
Organization: Department of the Interior
Sediment Data from off New Hampshire (WARD01 shapefile)

The sediment data contained in this set were produced as part of the site description and monitoring phases of an aquaculture demonstration project.  The site is located off the coast of New Hampshire in the Gulf of Maine.

Tags: atlantic-ocean, classification, clay, cmgp, coastal-and-marine-geology-program, geographic-information-system, geoscientificinformation, geospatial-datasets, gis, grain-size, grain-size-analysis, gravel, gulf-of-maine, location, marine-geology, mud, navigational-data, new-england, new-hampshire, new-hampshire-coast, oceans, open-file-report-03-001, point-shapefile, points, sand, sea-floor-characteristics, sediment, sediment-classification, silt, surficial-classification, texture, u-s-east-coast, u-s-geological-survey, unh, unversity-of-new-hampshire, usgs, usgs-62997f10-8e9a-4121-a0f9-1f75679ddafb, whsc, woods-hole-science-center
Organization: Department of the Interior
GIS Data for Geologic and Structure Map of the Choteau 1 x 2 Degree Quadrangle, Western Montana

This U.S. Geological Survey (USGS) data release provides an updated digital geospatial database for the geologic map of the Choteau 1 x 2 degrees quadrangle, western Montana (Mudge and others, 2001). Attribute tables and geospatial features (lines and polygons) conform to the Geologic Map Schema (USGS NCGMP, 2020) and represent the geologic map as published in USGS Miscellaneous Investigations Series Map I-1300 (Mudge and others, 1982). Minor errors, such as mistakes in line decoration or differences between the digital data and the map image, are corrected in this version.

The database represents the geology for the 4.2 million acre, geologically complex Choteau 1 x 2 degrees quadrangle, at a publication scale of 1:250,000. The map covers primarily Lewis and Clark, Teton, Powell, Missoula, Lake, and Flathead Counties, but also includes minor parts of Cascade County. These GIS data supersede those in the report (Mudge and others, 2001).

References: Mudge, M.R, Earhart, R.L., Whipple, J.W., Harrison, J.E., Munts, S.R., and Silkwood, J.T., 2001, Geologic and structure map of the Choteau 1 x 2 degrees quadrangle: a digital database: U.S. Geological Survey Miscellaneous Investigations Series Map I-1300, scale 1:250,000, https://pubs.usgs.gov/imap/i1300/.

Mudge, M.R, Earhart, R.L., Whipple, J.W., and Harrison, 1982, Geologic and structure map of the Choteau 1 x 2 degrees quadrangle: U.S. Geological Survey Miscellaneous Investigations Series Map I-1300, scale 1:250,000, https://doi.org/10.3133/i1300.

U.S. Geological Survey National Cooperative Geologic Mapping Program, 2020, GeMS (Geologic Map Schema) - A standard format for the digital publication of geologic maps: U.S. Geological Survey Techniques and Methods, book 11, chap. B10, 74 p., https://doi.org/10.3133/tm11B10.

Tags: bedrock-geologic-units, cascade-county, choteau, data-services, flathead-county, gems, geographic-information-systems, geologic-map-schema, geologic-maps, geology, geology-geophysics-and-geochemistry-science-center, geoscientificinformation, geospatial-datasets, gggsc, lake-county, lewis-and-clark-county, mineral-resources-program, missoula-county, montana, mrp, mt, national-cooperative-geologic-mapping-program, national-geologic-map-database, ncgmp, ngmdb, powell-county, structural-geology, u-s-geological-survey, usgs, usgs-6298d3d6d34ec53d276c841d
Organization: Department of the Interior
Phyla of permafrost microbial communities across the panarctic

The datasets contains  include permafrost microbial community taxanomic data at the phylum level from 133 samples across the panarctic.

Tags: alaska, arctic, biota, canada, greenland, methane, microbe, microbial, permafrost, russia, soil, sub-arctic, sweden, usgs-625e164dd34e85fa62b7a8c1
Organization: Department of the Interior
Evapotranspiration Data within Blue Cypress Marsh, Vero Beach, Florida, 2021

The dataset includes a table in comma delimited format of daily evapotranspiration (ET) from 1/1/2021 to 12/31/2021 from an ET station within the Blue Cypress Marsh Conservation Area, near Vero Beach, Florida. Evapotranspiration was estimated using eddy-covariance methods and missing sub-daily (30-minute) and daily ET records were gap-filled with a version of the Turc equation (Trajkovic and Kolakovic, 2009) that was regressed against observed values of eddy-covariance ET. The Turc equation performed well (r-squared value of 0.94 and 0.63 for daily and 30-minute values, respectively) for reproducing observed daily ET rates. Daily ET values estimated with the Turc equation are identified by a column with a "T" value indicator.  Data processing methods were similar to methods outlined by Shoemaker and others (2011). Ancillary data includes net radiation, relative humidity, air temperature, soil temperature, water depth above land surface (+) or depth to water below land surface (-).  The site location is 27°41'46",  -80°42'43".  Released data include evapotranspiration (ET, in millimeters per day), net radiation (Rn, in watts per square meter), minimum and maximum daily relative humidity and air temperature (RH_max, RH_min in percent; AT_max, AT_min in degrees Celsius), water distance above (+) and below (-) land surface (WD, in meters), mean daily soil temperature (Ts, in Celsius), and evapotranspiration (ET, in millimeters per day). These data provide updates to prior releases of evapotranspiration data from this station extending back to June 1, 1995.

Tags: blue-cypress-marsh-conservation-area, eddy-covariance-method, evapotranspiration, florida, net-radiation, usa, usgs-6298cde5d34ec53d276c839e, water-budgets, weather, wetlands
Organization: Department of the Interior
GIS Data for Geologic Map of the Butte 1 x 2 Degrees Quadrangle, Montana

This U.S. Geological Survey (USGS) data release provides an updated digital geospatial database for the geologic map of the Butte 1 degree x 2 degrees quadrangle, Montana (Lewis, 1998). Attribute tables and geospatial features (points, lines and polygons) conform to the Geologic Map Schema (USGS NCGMP, 2020) and represent the geologic map as published in Montana Bureau of Mines and Geology Open File Report MBMG 363 (Lewis, 1998). Minor errors, such as mistakes in line decoration or differences between the digital data and the map image, are corrected in this version.

The database represents the geology for the 4.4 million acre, geologically complex Butte 1 degree x 2 degrees quadrangle, at a publication scale of 1:250,000. The map covers parts of Deer Lodge, Granite, Jefferson, Lewis and Clark, Missoula, Powell, Ravalli, and Silver Bow Counties. These GIS data supersede those in the interpretive report (Lewis, 1998).

References: Lewis, R.S., 1998, Geologic map of the Butte 1 x 2 quadrangle, southwestern Montana: Montana Bureau of Mines and Geology Open-File Report 363, 16 p., 1 sheet, scale 1:250,000, http://www.mbmg.mtech.edu/mbmgcat/public/ListCitation.asp?pub_id=11212&amp;.

U.S. Geological Survey National Cooperative Geologic Mapping Program, 2020, GeMS (Geologic Map Schema) - A standard format for the digital publication of geologic maps: U.S. Geological Survey Techniques and Methods, book 11, chap. B10, 74 p., https://pubs.er.usgs.gov/publication/tm11B10.

Tags: bedrock-geologic-units, butte, data-services, deer-lodge-county, gems, geographic-information-systems, geologic-map-schema, geologic-maps, geology, geology-geophysics-and-geochemistry-science-center, geoscientificinformation, geospatial-datasets, gggsc, granite-county, jefferson-county, lewis-and-clark-county, mineral-resources-program, missoula-county, montana, mrp, mt, national-geologic-map-database, ngmdb, powell-county, ravalli-county, silver-bow-county, structural-geology, u-s-geological-survey, usgs, usgs-6298b54cd34ec53d276c8204
Organization: Department of the Interior
Predicted cheatgrass cover in Great Basin based on low medium and high invasion scenarios

Data represent predicted cheatgrass (Bromus tectorum) cover from a quantile regression model. We used quantile regression to model cheatgrass abundance as a function of climate, weather, and disturbance, treating outputs as low to high invasion scenarios.The model was developed using cheatgrass cover data collected by the Bureau of Land Management (BLM) Assessment, Inventory, and Monitoring (AIM) program, paired with covariates representing climate, weather, fire history, and disturbance. Quantile regression estimates different coefficients for each predictor variable at each quantile of interest, allowing a given environmental variable to be more or less important at the high end of the response distribution. The predictions at each statistical quantile of interest can be interpreted as invasion scenarios, as they correspond to low, medium, and high cheatgrass cover for a given set of environmental conditions. This metadata file describes three raster files, which share a geographic extent and resolution and which represent predictions from different quantiles of the same quantile regression model.

Tags: biota, invasive-species, usgs-6297dcc5d34ec53d276c5b45
Organization: Department of the Interior
Categorization rules used to coarsen LANDFIRE Biophysical Settings data into fewer groups for modeling invasive plant cover in the Great Basin

LANDFIRE biophysical settings describe and map plant communities based on geophysical conditions and natural disturbance regimes (LANDFIRE 2016). This dataset is the ruleset used by Sofaer et al. (the related larger work for this DR)  to simplify the many LANDFIRE categories within the Great Basin into fewer, coarser groups for the purpose of modeling.

Tags: biogeography, biota, usgs-6297db52d34ec53d276c5b3e
Organization: Department of the Interior
Cheatgrass cover and covariate data in Great Basin USA, for model estimation and validation

Cheatgrass (Bromus tectorum) cover data were derived from the Bureau of Land Management’s Assessment Inventory, and Monitoring data and paired with geospatial data representing climate, weather, and disturbances. We derived covariates to capture both the climatic averages (1981-2010) that underlie long-term suitability, hereafter referred to as climate, and conditions during the year of observation, hereafter referred to as weather, that can drive annual variation in invasive grass cover (e.g., fall germination conditions were matched to cheatgrass cover sampled the following spring). Custom variables reflected cheatgrass natural history. Covariates describing geological context (e.g., aspect, elevation, soils),   plant communities based on geophysical conditions and natural disturbance regimes, fire history (binary burned or unburned), human disturbance and infrastructure, and management history were used to represent processes that may limit or facilitate cheatgrass invasion

Tags: biota, invasive-species, usgs-6297d47dd34ec53d276c5b30
Organization: Department of the Interior
Predictive model of probability of ignition in the Mojave Desert

This raster dataset represents spatially explicit predictions of probability of ignition in the Mojave Desert based on models developed from data on perimeters of fires greater than 405 hectares that burned between 1972 to 2010. Raster resolution equals 30 meters, projection equals UTM Zone 11N.

Tags: biota, burn-severity, desert-ecosystems, disturbance, ecosystems, field-methods, fire, fire-frequency, fire-regimes, fires, geographic-information-systems, grass-fire-cycle, heterogeneity, igntion-probability, imagerybasemapsearthcover, invasive-species, maxent, mojave-desert, plants-organisms, predictive-models, remote-sensing, spatial-models, usgs-62e96a13d34e749ac04cc110, vegetation
Organization: Department of the Interior
Structure-from-Motion Products - Prime Hook National Wildlife Refuge, Delaware - Point Cloud: 2021

Aerial imagery was collected by a contractor using a fixed wing aircraft fitted with Post-Processing Kinematic (PPK) GPS, was processed using Structure-from-Motion (SfM) photogrammetry techniques to produce high-resolution orthomosaic images, three-dimensional (3D) point clouds and digital elevation models (DEMs). Surveyed Ground Control Points (GCPs) visible in the imagery are used to supplement the calculated elevation and PPK position data. This dataset, produced by the U.S. Geological Survey (USGS) MD-DE-DC Water Science Center, consists of a point cloud generated from the survey of Prime Hook National Wildlife Refuges in Delaware in order to observe annual changes.
Structure-from-Motion software, Agisoft Metashape, was used to perform processing on low-altitude digital aerial imagery acquired by a contractor utilizing a fixed wing aircraft. The aircraft has been modified with a camera port fitted with a Sony A7R camera and equipped with a custom Post-Processing Kinematic GPS device. The surveys were conducted using temporary targets (black and white, 4-square checkered pattern), and pre-existing points (road markings) distributed throughout the flight operations area as GCPs. 
This dataset was produced using the 4D method of Structure-from-Motion, combining multiple years of images and GCPs into a single project to assist in alignment. Each year's chunk was then checked, cleaned, and exported individually. 
All horizontal data are referenced to the North American Datum of 1983 (NAD83 (2011)) UTM zone 18N, and elevation is referenced to the North American Vertical Datum of 1988 (NAVD88) in meters, GEOID12B.

Tags: coastal-processes, delaware, fowler-beach, geoscientificinformation, geospatial-datasets, imagerybasemapsearthcover, location, prime-hook-national-wildlife-refuge, remote-sensing, topographic-maps, topography, u-s-geological-survey, usgs, usgs-629627c0d34ec53d276ba94d
Organization: Department of the Interior
Structure-from-Motion Products - Prime Hook National Wildlife Refuge, Delaware - Orthomosaic: 2020

Aerial imagery was collected by a contractor using a fixed wing aircraft fitted with Post-Processing Kinematic (PPK) GPS, was processed using Structure-from-Motion (SfM) photogrammetry techniques to produce high-resolution orthomosaic images, three-dimensional (3D) point clouds and digital elevation models (DEMs). Surveyed Ground Control Points (GCPs) visible in the imagery are used to supplement the calculated elevation and PPK position data. This dataset, produced by the U.S. Geological Survey (USGS) MD-DE-DC Water Science Center, consists of a point cloud generated from the survey of Prime Hook National Wildlife Refuges in Delaware in order to observe annual changes.
Structure-from-Motion software, Agisoft Metashape, was used to perform processing on low-altitude digital aerial imagery acquired by a contractor utilizing a fixed wing aircraft. The aircraft has been modified with a camera port fitted with a Sony A7R camera and equipped with a custom Post-Processing Kinematic GPS device. The surveys were conducted using temporary targets (black and white, 4-square checkered pattern), and pre-existing points (road markings) distributed throughout the flight operations area as GCPs. 
This dataset was produced using the 4D method of Structure-from-Motion, combining multiple years of images and GCPs into a single project to assist in alignment. Each year's chunk was then checked, cleaned, and exported individually. 
All horizontal data are referenced to the North American Datum of 1983 (NAD83 (2011)) UTM zone 18N, and elevation is referenced to the North American Vertical Datum of 1988 (NAVD88) in meters, GEOID12B.

Tags: coastal-processes, delaware, fowler-beach, geoscientificinformation, geospatial-datasets, imagerybasemapsearthcover, location, prime-hook-national-wildlife-refuge, remote-sensing, topographic-maps, topography, u-s-geological-survey, usgs, usgs-62962748d34ec53d276ba940
Organization: Department of the Interior
Structure-from-Motion Products - Prime Hook National Wildlife Refuge, Delaware - Point Cloud: 2020

Aerial imagery was collected by a contractor using a fixed wing aircraft fitted with Post-Processing Kinematic (PPK) GPS, was processed using Structure-from-Motion (SfM) photogrammetry techniques to produce high-resolution orthomosaic images, three-dimensional (3D) point clouds and digital elevation models (DEMs). Surveyed Ground Control Points (GCPs) visible in the imagery are used to supplement the calculated elevation and PPK position data. This dataset, produced by the U.S. Geological Survey (USGS) MD-DE-DC Water Science Center, consists of a point cloud generated from the survey of Prime Hook National Wildlife Refuges in Delaware in order to observe annual changes.
Structure-from-Motion software, Agisoft Metashape, was used to perform processing on low-altitude digital aerial imagery acquired by a contractor utilizing a fixed wing aircraft. The aircraft has been modified with a camera port fitted with a Sony A7R camera and equipped with a custom Post-Processing Kinematic GPS device. The surveys were conducted using temporary targets (black and white, 4-square checkered pattern), and pre-existing points (road markings) distributed throughout the flight operations area as GCPs. 
This dataset was produced using the 4D method of Structure-from-Motion, combining multiple years of images and GCPs into a single project to assist in alignment. Each year's chunk was then checked, cleaned, and exported individually. 
All horizontal data are referenced to the North American Datum of 1983 (NAD83 (2011)) UTM zone 18N, and elevation is referenced to the North American Vertical Datum of 1988 (NAVD88) in meters, GEOID12B.

Tags: coastal-processes, delaware, fowler-beach, geoscientificinformation, geospatial-datasets, imagerybasemapsearthcover, location, prime-hook-national-wildlife-refuge, remote-sensing, topographic-maps, topography, u-s-geological-survey, usgs, usgs-62962753d34ec53d276ba942
Organization: Department of the Interior
Structure-from-Motion Products - Prime Hook National Wildlife Refuge, Delaware - Orthomosaic: 2021

Aerial imagery was collected by a contractor using a fixed wing aircraft fitted with Post-Processing Kinematic (PPK) GPS, was processed using Structure-from-Motion (SfM) photogrammetry techniques to produce high-resolution orthomosaic images, three-dimensional (3D) point clouds and digital elevation models (DEMs). Surveyed Ground Control Points (GCPs) visible in the imagery are used to supplement the calculated elevation and PPK position data. This dataset, produced by the U.S. Geological Survey (USGS) MD-DE-DC Water Science Center, consists of a point cloud generated from the survey of Prime Hook National Wildlife Refuges in Delaware in order to observe annual changes.
Structure-from-Motion software, Agisoft Metashape, was used to perform processing on low-altitude digital aerial imagery acquired by a contractor utilizing a fixed wing aircraft. The aircraft has been modified with a camera port fitted with a Sony A7R camera and equipped with a custom Post-Processing Kinematic GPS device. The surveys were conducted using temporary targets (black and white, 4-square checkered pattern), and pre-existing points (road markings) distributed throughout the flight operations area as GCPs. 
This dataset was produced using the 4D method of Structure-from-Motion, combining multiple years of images and GCPs into a single project to assist in alignment. Each year's chunk was then checked, cleaned, and exported individually. 
All horizontal data are referenced to the North American Datum of 1983 (NAD83 (2011)) UTM zone 18N, and elevation is referenced to the North American Vertical Datum of 1988 (NAVD88) in meters, GEOID12B.

Tags: coastal-processes, delaware, fowler-beach, geoscientificinformation, geospatial-datasets, imagerybasemapsearthcover, location, prime-hook-national-wildlife-refuge, remote-sensing, topographic-maps, topography, u-s-geological-survey, usgs, usgs-629627b6d34ec53d276ba94b
Organization: Department of the Interior
Fish community assessment using environmental DNA metabarcoding data after an invasive species eradication and native restocking effort in Pinecrest Gardens, FL in 2017-18

Reported here are the metabarcoding read numbers and biomass data assessed from a fish community in a southern Florida pond in Pinecrest Gardens after invasive species eradication and native restocking in 2017 and 2018 in linear regression models. This dataframe contains the number of fish of each species identified, their measured lengths estimated population surface area, and the number of metabarcoding reads (with SD and COV) for each species observed from the sampling date.

Tags: biological-population-management, boundaries, environmental-dna, fish, genetic-diversity, invasive-species, usgs-62f1b4a4d34eacf53972636d
Organization: Department of the Interior
Datasets for Rapid Assessment of Streambank Erosion Potential for Selected Streams throughout the Greater Raleigh Area, North Carolina, 2022

As part of a collaborative study with the City of Raleigh, North Carolina, the U.S. Geological Survey is assessing streambank erosion potential in selected stream reaches throughout the Raleigh metropolitan area. Rapid field measurement techniques were used to assess streambank stability at 124 stream segments between January and March 2022. Field data were collected using the Bank Erosion Hazard Index (BEHI) and Near Bank Stress (NBS) assessment methods (Rosgen, 2001; Rosgen and others, 2008) as well as the Rapid Geomorphic Assessment (RGA) method (Simon and others, 2007). This Data Release contains a dataset with all stream site information, field measurements, and streambank stability assessment results; stream site photographs; and a shapefile showing the approximate locations of stream segments.

Tags: banks-hydrographic, erosion, geomorphology, land-use-change, usgs-62a1f911d34ec53d277049b9
Organization: Department of the Interior