AndreaBozzo/ceres-open-data-index huggingface dataset:
US Fish and Wildlife Service Fire Atlas- Burn Severity Mosaic for CONUS in 2005

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 2005. 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-65b193aad34e36a39044c8d2, wildfire, wildland-fire
Organization: Department of the Interior
Age estimates of captured Black Carp (Mylopharyngodon piceus) using four calcified structures, 2017-2019

A total of 236 Black Carp were collected throughout the year from 2017-2019 by incidental captures of commercial fishers and biologists. Capture date, river basin of capture location, and coordinates were recorded for each Black Carp captured. A subsample of 119 Black Carp varying from 429-1268 millimeters total length were compared for the precision of annuli counts by two experienced readers for the ossified two anterior pectoral fin rays, the ossified anterior dorsal fin ray, sectioned vertebrae, and lapilli otoliths for selection of a single structure based on percent exact agreement, coefficient of variation, and age-frequency plots.

Tags: aquatic-biology, atchafalaya-river, biota, fins, fish, illinois-river, kaskaskia-river, mississippi-river, ohio-river, otoliths, usgs-656e55b7d34e7ca10833fd4b, vertebrae
Organization: Department of the Interior
Water-quality data and computed flow-normalized and low-flow concentrations and loads in the Kansas River, Kansas, 1972–2020

This data release provides water-quality data collected and analyzed by the U.S. Geological Survey (USGS) and the Kansas Department of Health and Environment (KDHE) during 1972 through 2020. This data release includes a discrete water-quality concentration dataset (total dissolved solids, chloride, ammonia, nitrate, nitrite, nitrate plus nitrite, total Kjeldahl nitrogen, orthophosphate, total phosphorus, total suspended solids, and fecal coliform bacteria densities) used for characterization of water-quality trends in the Kansas River. This data release also includes two datasets containing annual flow-normalized and low-flow water-quality concentrations and loads (total dissolved solids, chloride, ammonia, dissolved inorganic nitrogen (computed by summing ammonia and nitrate plus nitrite), total nitrogen (computed by summing total Kjeldahl nitrogen and nitrate plus nitrite), orthophosphate, total phosphorus, total suspended solids, and fecal coliform bacteria densities), with confidence intervals, at the Kansas River at Wamego, KS (USGS station 06887500) and the Kansas River at De Soto, KS (USGS station 06892350). Annual flow-normalized and low-flow concentrations and loads were computed using the Exploration and Graphics for RivER Trends (EGRET) R package and Weighted Regressions on Time, Discharge, and Season (WRTDS) model (Hirsch and others, 2010; Hirsch and De Cicco, 2015). Confidence intervals for annual flow-normalized and low-flow concentrations and loads were computed using the EGRET Confidence Intervals (EGRETci) R package (Hirsch and others, 2015).

Tags: ammonia, chloride, dissolved-inorganic-nitrogen, fecal-coliform-bacteria, hydrology, kansas, kansas-river, kansas-river-at-de-soto-ks, kansas-river-at-wamego-ks, lower-kansas-river-basin, nitrate, nitrate-plus-nitrite, nitrite, nutrient-content-water, orthophosphate, stream-discharge, surface-water-quality, suspended-material-water, total-dissolved-solids, total-kjeldahl-nitrogen, total-nitrogen, total-phosphorus, total-suspended-solids, united-states, usgs-656e5294d34e7ca10833fd1b, usgs-station-06887500, usgs-station-06892350, water-quality-trends, weighted-regressions-on-time-discharge-and-season, wrtds
Organization: Department of the Interior
Metrics from hydrodynamic and particle tracking simulations of two sub-reaches of the Upper Missouri River near Wolf Point, MT

These two datasets contain metrics from hydrodynamic and particle tracking simulations for two sub-reaches of the Upper Missouri River near Wolf Point, MT. The upstream reach is referred to as the “upper” reach while the downstream reach is referred to as the “lower” reach. Simulations were performed for 16 flows in the range of 185-635 cms at increments of 30 cms.

Tags: aquatic-biology, biota, hydrology, missouri-river, montana, usgs-656e433ed34e7ca10833fce9, water-resources
Organization: Department of the Interior
Simulation results and field data for model comparison of the July 1, 2019, larval drift experiment on the Upper Missouri River near Wolf Point, MT

This dataset contains processed simulation results and field data of a larval drift experiment conducted on July 1, 2019, on the Upper Missouri River.

Tags: aquatic-biology, biota, hydrology, missouri-river, montana, usgs-656e3f07d34e7ca10833fca8, water-resources
Organization: Department of the Interior
High-Resolution Aeromagnetic Survey Over Packwood, Washington, and Surrounding Areas

This data release provides access to a low-altitude aeromagnetic survey flown over a part of the Cascade Range of the US Pacific Northwest, approximately centered over the town of Packwood, Washington.  The Packwood magnetic survey surrounds but does not include the edifice of Mount Rainier, the highest (4392 m; 14,410 ft) volcano of the conterminous United States.  Data were acquired between September 18 and October 18, 2022, by KBM Resources Group, Thunder Bay, Ontario, Canada, working under contract to the U.S. Geological Survey.  Survey procedures are described in detail in the document, Packwood_tech_report.pdf, also available in this data release.  The survey is underlain by a diverse magnetic terrane of Tertiary to Quaternary volcanic and intrusive rocks of the Western and High Cascades.  These strongly magnetic rocks produce many of the anomalies evident in these aeromagnetic data.  
Data were acquired with a twin-engine, fixed-wing aircraft.  Flight lines were spaced 400 m apart and directed east-west; tie lines were spaced 4000 m apart and directed north-south.  A total of 11,790 line-kilometers of aeromagnetic data were acquired over an area of approximately 4335 square kilometers.  These data are available in the database, Packwood_data_MAIN.csv, available in this data release.  The flight altitude was based on a best-fit, pre-planned, three-dimensional drape surface targeted at 200 m above terrain, subject to aircraft climb and descent limitations.  
Fixed-wing aeromagnetic surveys over rugged, mountainous terrain require significant increases in terrain clearance, especially over valleys.  Variable terrain clearance should be considered when modeling and interpreting these data.  
This data release includes an additional database, Packwood_data_PROFILES.csv, consisting of 35 lines flown as close to the ground as safely possible within and along prominent valleys within the study area, a total of 690 line-kilometers.

Tags: aeromagnetic-surveying, cascadia, clearwater-wilderness, crust-earth, earthquakes, geophysics, geoscientificinformation, geospatial-datasets, gifford-pinchot-national-forest, glacier-view-wilderness, goat-rocks-wilderness, hazards, lewis, lower-columbia, magnetic-field-earth, magnetometer-measurement, mount-rainier, mount-rainier-national-park, natural-resources, neotectonic-processes, norse-peak-wilderness, packwood, pierce, snoqualmie-national-forest, tatoosh-wilderness, upper-cowlitz, usgs-656e3da9d34e7ca10833fc94, volcanic-activity, washington, william-o-douglas-wilderness, yakima
Organization: Department of the Interior
Animations of particle tracking simulations of the Upper Missouri River near Wolf Point, MT

This dataset contains two subsets of animations corresponding to particle tracking simulations of the Upper Missouri River near Wolf Point, MT. Animations do not contain audio and depict particles moving from the top of the reach (left side) to the bottom of the reach (right side). The first subset are animations from simulations of a July 1, 2019, larval drift experiment. A total of 9 animations are included with each corresponding to the combination of 1 of 3 vertical movement methods (active60pct, active75pct, or passive) and 1 of 3 lateral eddy viscosity scenarios (LEVx0p5, LEVx1, or LEVx2). The second subset contains animations corresponding to particle simulations for the upper and lower sub-reaches of the larger model reach. A total of 96 animations are included corresponding to a combination of 1 of both reaches (upper or lower), 1 of 16 discharges (185-635 cms, at increments of 30 cms), and 1 of 3 vertical movement methods (active60pct, active75pct, or passive).

Tags: aquatic-biology, biota, hydrology, missouri-river, montana, usgs-656e3af3d34e7ca10833fc58, water-resources
Organization: Department of the Interior
Start location files for the “Fluvial Particle” model used in generating particle tracking simulations for the Upper Missouri River near Wolf Point, MT

This dataset contains particle starting location files for particle tracking simulations of the Upper Missouri River near Wolf Point, MT using the “Fluvial Particle” particle tracking model (https://doi.org/10.5066/P9K1U4O0). The file “DriftExperiment_StartLocations_n30000.csv” corresponds to particle simulations of a July 1, 2019, larval drift experiment. This file is configured to simulate 30,000 particles run in serial (i.e., 30,000 particles run on a single CPU). The files “ReachComparison_StartLocations_Lower_n250.csv” and “ReachComparison_StartLocations_Upper_n250.csv” correspond to particle simulations comparing the upper and lower sub-reaches of the larger model reach. Each of these simulations also used 30,000 particles but were configured to be run in parallel with 250 particles run per CPU. It should be noted that while the column headers are not included in the file due to it being formatted to be read by "Fluvial Particle". This dataset contains five different columns. The first represents time, the second is the x-coordinate, the third is the y-coordinate, the fourth is elevation, and the final is the number of particles released at that location.

Tags: aquatic-biology, biota, hydrology, missouri-river, montana, usgs-656e3ab4d34e7ca10833fc53, water-resources
Organization: Department of the Interior
Outputs from a hydrodynamic model of the Upper Missouri River near Wolf Point, MT

This dataset contains two separate sets two- and quasi-three-dimensional hydrodynamic model outputs from the Flow and Sediment Transport with Morphologic Evolution of CHannels (FaSTMECH) hydrodynamic model in the open-source binary Visualization Toolkit (VTK) format (https://vtk.org/). The first dataset set contains outputs from simulations of flow conditions of 348 cms as measured on July 1, 2019, during a larval drift experiment conducted on the Upper Missouri River near Wolf Point, MT. The second dataset contains hydrodynamic model outputs from simulations at the same site for flows in the range of 185-635 cms at increments of 30cms. Files can be opened using the open-source software program Paraview: (https://www.paraview.org/).

Tags: aquatic-biology, biota, hydrology, missouri-river, montana, usgs-656e39c3d34e7ca10833fc4c, water-resources
Organization: Department of the Interior
Chronic toxicity of metals in two water hardness to three sizes of the crayfish Faxonius quadruncus Missouri, USA 2017-2018

Laboratory studies were conducted to examine the effect of water hardness and age of crayfish on the toxicity of environment-based metals mixture. Additionally, the effects of chronic exposure to a metals mixture to egg development in adult F. quadruncus were assessed.  Mortality and growth of F. quadruncus were assessed.  These data consist of attributes of water quality from toxicity tests and attributes of growth and survival of crayfish (F. quadruncus) from laboratory diluter studies.

Tags: biota, cobalt-co, copper-cu, dissolved-metals, faxonius-quadruncus, lead-pb, mine-waste, mining-and-quarrying, nickel-ni, saint-francis-river-crayfish, toxicity, usgs-656e36ddd34e7ca10833fbf5
Organization: Department of the Interior
Occupancy model coefficients and observed co-occurrence simulations for sicklefin chub, sturgeon chub, and associated fishes in the Missouri River

Extant population monitoring and habitat assessment data sets of benthic species were used as inputs for occupancy models focused on Sicklefin and Sturgeon chub with the goals of describing temporal, spatial, and environmental factors associated with occupancy patterns of each chub species, assessing co-occurrence of the two species, and determining relationships between co-occurrence and environmental factors. We also used three-species occupancy models to assess co-occurrence of these chubs with other primarily benthic species. This data set is comprised of the outputs of these models.

Tags: aquatic-biology, benthic-ecosystems, biota, computational-methods, fish, habitats, occupancy-model, population-and-community-ecology, species-co-occurrence, statistical-analysis, usgs-656e33a7d34e7ca10833fba1
Organization: Department of the Interior
SUHI Hotspots from MeanLST in persistent urban and new growth urban area of 50 cities of CONUS from 1985 to 2020

Surface Urban Heat Island (SUHI) hotspot data are defined as areas of statistically high land surface temperature (LST). A pixel is determined as statistically high if it exceeds one standard deviation above the mean of all pixels with similar land cover type. Data are provided across 50 regions throughout the Continental U.S. using previously generated annual maximum land surface temperature (MeanLST) – derived from Collection 1 Landsat U.S. Analysis Ready Data (ARD) for Surface Temperature. The data ranges from 1985-2020, and covers data within 5 km of each city. The data is further separated into persistent urban and new urban outputs. Persistent Urban is defined as areas that are reported as urban in 1985 and remained urban in 2020. Areas that changed from non-urban in 1985 to urban in 2020 are defined as new urban.  NOTE: While a previous version is available from the author, all the datasets for pilot cities can be found in version 5.0.

Tags: albuquerquenm-atlantaga-austintx-baltimoremd-birminghamal-boiseid-bostonma-charlottenc-cheyenne, climatologymeteorologyatmosphere, conus, environment, heat-flow-earth, image-collections, land-surface-temperature-lst, land-use-change, landsat-analysis-ready-data-ard, landsat-ard, mean-land-surface-temperature-meanlst, multispectral-imaging, new-growth-urban-areas-nua, persistent-urban-areas-pua, surface-urban-heat-island-hotspot-suhih, surface-urban-heat-island-suhi, united-states, usgs-656e3073d34e7ca10833fb86
Organization: Department of the Interior
SUHI Hotspot from MaxLST in persistent urban and new growth urban area of 50 cities of CONUS from 1985 to 2020

Surface Urban Heat Island (SUHI) hotspot data are defined as areas of statistically high land surface temperature (LST). A pixel is determined as statistically high if it exceeds one standard deviation above the mean of all pixels with similar land cover type. Data are provided across 50 regions throughout the Continental U.S. using previously generated annual maximum land surface temperature (MaxLST) – derived from Collection 1 Landsat U.S. Analysis Ready Data (ARD) for Surface Temperature. The data ranges from 1985-2020, and covers data within 5 km of each city. The data is further separated into persistent urban and new urban outputs. Persistent Urban is defined as areas that are reported as urban in 1985 and remained urban in 2020. Areas that changed from non-urban in 1985 to urban in 2020 are defined as new urban.  NOTE: While a previous version is available from the author, all the datasets for pilot cities can be found in version 5.0.

Tags: albuquerquenm-atlantaga-austintx-baltimoremd-birminghamal-boiseid-bostonma-charlottenc-cheyenne, climatologymeteorologyatmosphere, conus, environment, heat-flow-earth, image-collections, land-surface-temperature-lst, land-use-change, landsat-analysis-ready-data-ard, landsat-ard, maximum-land-surface-temperature-maxlst, multispectral-imaging, new-growth-urban-areas-nua, persistent-urban-areas-pua, surface-urban-heat-island-hotspot-suhih, surface-urban-heat-island-suhi, united-states, usgs-656e302ad34e7ca10833fb80
Organization: Department of the Interior
US Fish and Wildlife Service Fire Atlas- Burn Severity Mosaic for CONUS in 2006

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 2006. 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-65b194f0d34e36a39044c99e, wildfire, wildland-fire
Organization: Department of the Interior
US Fish and Wildlife Service Fire Atlas- Burn Severity Mosaic for CONUS in 2007

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 2007. 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-65b1960ed34e36a39044ca42, wildfire, wildland-fire
Organization: Department of the Interior
Annual land surface urban heat island hotspot from 1985 to present (Collection 1)

Surface Urban Heat Island (SUHI) hotspot data are defined as areas of statistically high land surface temperature (LST). A pixel is determined as statistically high if it exceeds one standard deviation above the mean of all pixels with similar land cover type. Data are provided across 50 regions throughout the Continental U.S. using previously generated annual  land surface temperature (LST) – derived from Collection 1 Landsat U.S. Analysis Ready Data (ARD) for Surface Temperature. The data ranges from 1985-2020, and covers data within 5 km of each city. The data is further separated into persistent urban and new urban outputs. Persistent Urban is defined as areas that are reported as urban in 1985 and remained urban in 2020. Areas that changed from non-urban in 1985 to urban in 2020 are defined as new urban.  NOTE: While a previous version is available from the author, all the datasets for pilot cities can be found in version 5.0.

Tags: albuquerquenm-atlantaga-austintx-baltimoremd-birminghamal-boiseid-bostonma-charlottenc-cheyenne, climatologymeteorologyatmosphere, conus, environment, heat-flow-earth, image-collections, land-surface-temperature-lst, land-use-change, landsat-analysis-ready-data-ard, landsat-ard, mean-land-surface-temperature-maxlst, multispectral-imaging, new-growth-urban-areas-nua, persistent-urban-areas-pua, surface-urban-heat-island-hotspot-suhih, surface-urban-heat-island-suhi, united-states, usgs-656e2c94d34e7ca10833fb64
Organization: Department of the Interior
Processed acoustic Doppler current profiler (ADCP) measurements of the Upper Missouri River near Wolf Point, MT

This dataset contains a series of processed acoustic Doppler current profiler (ADCP) measurements collected by boat on the Upper Missouri River near Wolf Point, Montana between 2018 and 2019. The data presented here have been processed with the Velocity Mapping Toolbox (VMT) and combined into a single shapefile using ArcGIS. The dataset was collected to validate a multidimensional hydrodynamic model.

Tags: aquatic-biology, biota, hydrology, missouri-river, montana, usgs-656e2b76d34e7ca10833fb54, water-resources
Organization: Department of the Interior
Longitudinal water surface elevation profiles of the Upper Missouri River near Wolf Point, MT

This dataset contains shapefiles for three longitudinal water surface elevation profiles collected by boat on the Upper Missouri River near Wolf Point, MT between June 2018 and July 2019. The dataset was collected to calibrate a multidimensional hydrodynamic model.

Tags: aquatic-biology, biota, hydrology, missouri-river, montana, usgs-656e2b50d34e7ca10833fb50, water-resources
Organization: Department of the Interior
Annual SUHI intensity from MaxLST in 50 cities of CONUS from 1985 to 2020

Surface Urban Heat Island (SUHI) intensity data is intended to quantify the difference between urban surface temperatures and the surrounding non-urban environment. The calculation takes the difference between a specific urban pixel’s maximum land surface temperature (MaxLST) and the mean of the cities non-urban MaxLST. Data are provided across 50 regions throughout the Continental U.S. using previously generated annual MaxLST – derived from Collection 1 Landsat U.S. Analysis Ready Data (ARD) for Surface Temperature. The data ranges from 1985-2020, and covers data within 5 km of each city. NOTE: While a previous version is available from the author, all datasets for pilot cities can be found in version 5.0.

Tags: albuquerquenm-atlantaga-austintx-baltimoremd-birminghamal-boiseid-bostonma-charlottenc-cheyenne, climatologymeteorologyatmosphere, conus, environment, heat-flow-earth, image-collections, land-surface-temperature-lst, land-use-change, landsat-analysis-ready-data-ard, landsat-ard, mean-land-surface-temperature-maxlst, multispectral-imaging, surface-urban-heat-island-intensity-suhii, surface-urban-heat-island-suhi, united-states, usgs-656e23f8d34e7ca10833f96c
Organization: Department of the Interior