AndreaBozzo/ceres-open-data-index huggingface dataset:
Satellite-Derived Training Data for Automated Flood Detection in the Continental U.S.

Remotely sensed imagery is increasingly used by emergency managers to monitor and map the impact of flood events to support preparedness, response, and critical decision making throughout the flood event lifecycle. To reduce latency in delivery of imagery-derived information, ensure consistent and reliably derived map products, and facilitate processing of an increasing volume of remote sensing data-streams, automated flood mapping workflows are needed. The U.S. Geological Survey is facilitating the development and integration of machine-learning algorithms in collaboration with NASA, National Geospatial Intelligence Agency (NGA), University of Alabama, and University of Illinois to create a workflow for rapidly generating improved flood-map products. A major bottleneck to the training of robust, generalizable machine learning algorithms for pattern recognition is a lack of training data that is representative across the landscape. To overcome this limitation for the training of algorithms capable of detection of surface inundation in diverse contexts, this publication includes the data developed from MAXAR Worldview sensors that is input as training data for machine learning. This data release consists of 100 thematic rasters, in GeoTiff format, with image labels representing five discrete categories: water, not water, maybe water, clouds and background/no data. Specifically, these training data were created by labeling 8-band, multispectral scenes from the MAXAR-Digital Globe, Worldview-2 and 3 satellite-based sensors. Scenes were selected to be spatially and spectrally diverse and geographically representative of different water features within the continental U.S.  The labeling procedures used a hybrid approach of unsupervised classification for the initial spectral clustering, followed by expert-level manual interpretation and QA/QC peer review to finalize each labeled image. Updated versions of the data may be issued along with version update documentation. The 100 raster files that make up the training data are available to download here (https://doi.org/10.5066/P9C7HYRV).

Tags: imagerybasemapsearthcover, inlandwaters, usgs-5f95c679d34e074d1b7fe4d5
Organization: Department of the Interior
Shoreline change rates along the coast of California from 1998 to 2016

This dataset contains California shoreline change rates derived from mean high water (MHW) shorelines from 1998 (in Central and Southern California) and 2002 (in Northern California) to 2016. The MHW elevation in each analysis region (Northern, Central, and Southern California) maintained consistency with that of the National Assessment of Shoreline Change. The operational MHW line was extracted from Light Detection and Ranging (LiDAR) digital elevation models (DEMs) using the ArcGIS smoothed contour method. Within the Digital Shoreline Analysis System (DSAS), end-point rates (EPR) of shoreline change were calculated between the 1998/2002 and the 2016 shorelines at a transect spacing of 50 meters to provide a long-term perspective of sandy shoreline behavior along the coast of California.

Tags: cencal, central-california, climate-change, climatologymeteorologyatmosphere, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-erosion, el-nino-events, el-nino-southern-oscillation, norcal, northern-california, oceans, pacific-coastal-and-marine-science-center, pcmsc, physical-habitats-and-geomorphology, sea-level-change, socal, southern-california, state-of-california, storms, u-s-geological-survey, usgs, usgs-5f9317b882ce720ee2d5970a, waves
Organization: Department of the Interior
Mean high water (MHW) shorelines along the coast of California used to calculated shoreline change from 1998 to 2016

This dataset contains mean high water (MHW) shorelines for sandy beaches along the coast of California for the years 1998/2002, 2015, and 2016. The MHW elevation in each analysis region (Northern, Central, and Southern California) maintained consistency with that of the National Assessment of Shoreline Change. The operational MHW line was extracted from Light Detection and Ranging (LiDAR) digital elevation models (DEMs) using the ArcGIS smoothed contour method. The smoothed contour line was then quality controlled to remove artifacts, as well as remove any contour tool interpretation of human-made infrastructure (such as jetties, piers, and sea walls), using satellite imagery from ArcGIS.

Tags: cencal, central-california, climate-change, climatologymeteorologyatmosphere, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-erosion, el-nino-events, el-nino-southern-oscillation, norcal, northern-california, oceans, pacific-coastal-and-marine-science-center, pcmsc, physical-habitats-and-geomorphology, sea-level-change, socal, southern-california, state-of-california, storms, u-s-geological-survey, usgs, usgs-5f9317ac82ce720ee2d59707, waves
Organization: Department of the Interior
Ecological modeling output for the Everglades Agricultural Area Reservoir 2020

Ecological models facilitate evaluation and assessment of alternative approaches to restore the Greater Everglades ecosystem. The models of particular interest to the South Florida Water Management District for planning for the Everglades Agricultural Area (EAA) Reservoir were: (1) Cape Sable Seaside Sparrow Marl Prairie Indicator, (2) Florida apple snail (native) population model (EverSnail), (3) Wader Distribution Evaluation Modeling (WADEM), (4) Small-sized freshwater fish density, and (5) American alligator production probability (i.e., habitat suitability index (HSI)). We ran these models using hydrologic conditions (provided by the South Florida Water Management District, see Process Steps section below) for baseline and future conditions for the EAR.

Tags: biota, ecological-modeling, usgs-5f93096f82ce720ee2d596d3
Organization: Department of the Interior
Ecological Model Support for the Western Everglades Restoration Project (WERP) Round Three of Four, 2019

Ecological models facilitate evaluation and assessment of alternative approaches to restore the Greater Everglades ecosystem. However, the provision of useful and accessible models is a challenge because there is often a disconnect between model output and its use by decision makers. Joint Ecosystem Modeling (JEM) meets this challenge by providing ecological model output tailored to management decisions. JEM is a partnership among federal and state agencies, universities, and other organizations. Ecological models (i.e., ecological planning tools) were developed and used by JEM during the Central Everglades Planning Project to evaluate potential effects to natural resources in the impacted areas. There is a desire by the planning agencies and bureaus involved in the Western Everglades Restoration Project (WERP) to use these same tools for WERP evaluations of alternative restoration plans. The models of particular interest to the WERP Ecological Subteam are: (1) Marl Prairie Habitat Suitability Index in conjunction with the (2) Cape Sable Seaside Sparrow Helper, (3) (native) Florida apple snail population model (EverSnail), (4) Wading bird distribution and evaluation models (WADEM), (5) Small-sized freshwater fish density, and (6) American alligator habitat suitability index (HSI). This is round 3 (of 4) for the WERP.

Tags: biota, ecological-modeling, modeling, usgs-5f9308c682ce720ee2d596cd
Organization: Department of the Interior
Ecological Model Support for the Western Everglades Restoration Project (WERP) Round One of Four, 2018

Ecological models facilitate evaluation and assessment of alternative approaches to restore the Greater Everglades ecosystem. However, the provision of useful and accessible models is a challenge because there is often a disconnect between model output and its use by decision makers. Joint Ecosystem Modeling (JEM) meets this challenge by providing ecological model output tailored to management decisions. JEM is a partnership among federal and state agencies, universities, and other organizations. Ecological models (i.e., ecological planning tools) were developed and used by JEM during the Central Everglades Planning Project to evaluate potential effects to natural resources in the impacted areas. There is a desire by the planning agencies and bureaus involved in the Western Everglades Restoration Project (WERP) to use these same tools for WERP evaluations of alternative restoration plans. The models of particular interest to the WERP Ecological Subteam are: (1) Marl Prairie Habitat Suitability Index in conjunction with the (2) Cape Sable Seaside Sparrow Helper, (3) (native) Apple Snail population model (EverSnail), (4) Wading bird distribution and evaluation models (WADEM), (5) Small-sized freshwater fish density, and (6) American alligator habitat suitability index (HSI). This is round 1 (of 4) for the WERP.

Tags: biota, ecological-modeling, modeling, usgs-5f93084982ce720ee2d596c5
Organization: Department of the Interior
Ploidy and genome size estimates of artificially produced larval pallid sturgeon, Scaphirhynchus albus

Data consist of flow cytometry files (.FCS) that were generated in the analysis of larval pallid sturgeon specimens. Nuclei from produced larval sturgeon somatic cells were analyzed using flow cytometry to estimate genome size and assign ploidy. Freshly collected rainbow trout (Oncorhynchus mykiss), largemouth bass (Micropterus salmoides), or pallid sturgeon blood were used as external controls, whereby the fish blood samples were analyzed in separate tubes from the cells of prepared sturgeon larvae.  All samples at 1 x 10^6 cells/mL were incubated in a propidium iodide solution to stain DNA, then analyzed by flow cytometry.  Analysis software generated histograms from the experimental samples and the control standard samples.  The histogram peak channels (modes) were then compared to generate a genome size estimate and additionally to visualize peaks for ploidy categorization.

Tags: biota, columbia, columbia-environmental-research-center, endangered-species, flow-cytometry, genome-size, lafayette, louisiana, missouri, pallid-sturgeon, ploidy, usgs-5f92e4c082ce720ee2d57827, wetland-and-aquatic-research-center
Organization: Department of the Interior
Hydraulic measurements from select reaches of the Big River, Missouri

This data release contains river bed surface grain size measurements, water-surface elevation measurements, and digital elevation models (DEMs) for select reaches of the Big River, Missouri. These data were collected in support of research assessing the hydraulic conditions of freshwater mussel habitat in the Big River. The individual metadata associated with each data type describe the process steps, data inputs and sources, and the locations where the data were collected.

Tags: big-river, freshwater-mussel, inlandwaters, missouri, ozarks, river, usgs-5f92e3f882ce720ee2d57820
Organization: Department of the Interior
Fish community and substrate data from tributaries to the Mohawk River (ver. 2.0, January 2024)

The dataset is composed of three data tables containing information from electrofishing and pebble count surveys conducted in tributaries to the Mohawk River in central and eastern New York during 2019 and 2023. 20 sites were surveyed in 2019, and 19 of those same sites were resurveyed in 2023. The 'Schoharie Creek below Bridge at Burtonsville NY' site was not resurveyed in 2023 because persistently elevated flows and turbidity at that location prohibited sampling. The first table contains information on the sampled reaches, the second table contains fish collection data, and the third table contains pebble count data.

Tags: fish, freshwater-ecosystems, inland-fishery-resources, invasive-species, mohawk-river, new-york, population-and-community-ecology, usgs-5f92d97c82ce720ee2d5780e
Organization: Department of the Interior
Migration Corridors of Mule Deer in the Kaibab North Herd in Arizona

Mule deer of the Kaibab North herd on the Kaibab Plateau are treasured for their historic and contemporary significance in North America. They are the densest population of mule deer in Arizona, with an estimate of 10,200 individuals in 2019. This report compiles two research efforts, the first completed by Arizona Game and Fish Department in 2014, and the second from Utah Division of Wildlife’s ongoing research started in 2017. The Kaibab Plateau is bound on the east, south, and west by vertical canyon walls which run along the Colorado River and Kanab Creek. The Kaibab North Deer herd winters among pinyon-juniper, sagebrush, and cliffrose landscapes along the west, east, and northern extents of the plateau. Portions of the Kaibab North herd in Arizona and the Paunsaugunt Plateau herd in Utah share a common winter range along the Arizona and Utah border. Their summer range consists of habitat dominated by ponderosa pine, mixed conifer, and aspen. There are currently few impediments to mule deer migration on the Kaibab Plateau. Water availability throughout seasonal ranges may be the limiting factor for this population.
These data provide the location of migration routes for Mule Deer (Odocoileus hemionus) in the Kaibab North Herd in Arizona. They were developed using 96 migration sequences collected from a sample size of 41 adult mule deer comprising GPS locations collected every 2-6 hours.

Tags: animal-behavior, arizona, economy, environment, flagstaff, migration, migration-organisms, migratory-species, united-states, usgs-5f9211da82ce720ee2d33f0c
Organization: Department of the Interior
Soil physical, chemical, and biological data from edge-of-field agricultural water quality monitoring sites in Great Lakes States

Soil data were collected from catchments of USGS edge-of-field (EOF) monitoring sites in Great Lakes Restoration Initiative (GLRI) priority watersheds. As part of this release, soil data from 2016 through 2019 are provided from 14 sites spanning 5 Great Lake States (Wisconsin, Michigan, Ohio, Indiana, and New York). The data collected are from private farms representing a variety of agronomic systems, landscapes settings, soil types, and climate regimes. These data can be used to investigate relationships among microbial properties (e.g. soil microbial biomass, activity, diversity, and enzymes), general soil structure (e.g. bulk density, soil aggregate structure, soil water holding capacity, soil texture, and infiltration rates), soil resources (e.g. organic matter, reactive carbon, total carbon, nitrogen, water extractable phosphorus, cations), and exported resources (e.g. runoff volume, phosphorus loads). Water quality data, site descriptions, and management are provided in a companion data release (Komiskey and others, 2021).

Tags: agriculture, allen-county-in, best-management-practices, brown-county-wi, carbon, conservation, farming, fox-river, genesee-county-mi, genesee-river, great-lakes, hancock-county-oh, livingston-county-ny, manure, maumee-river, microbial-activity, nitrogen, nutrient-measurements, percolation, phosphorus, saginaw-river, soil-aggregates, soil-depth, soil-health, soil-nutrients, usgs-5f91e2d882ce720ee2d33c78, usgs-cc-great-lakes, water-quality
Organization: Department of the Interior
Magnetotelluric data from Missouri, Arkansas, Tennessee, Illinois, and Kentucky, 2016-2019, station mrv114

This dataset consists of 127 wideband and 21 long-period magnetotelluric (MT) stations collected from 2016-2019 across parts of Missouri, Arkansas, Tennessee, Illinois, and Kentucky. The U.S. Geological Survey (USGS) acquired these data as part of regional investigations into the geologic and tectonic framework of the area and to support mineral resource and geologic hazard investigations. These data have been used to generate a 3D regional conductivity model of the area. Files included in this publication include measured electric- and magnetic-field time series as well as estimated impedance and vertical-magnetic field transfer functions. The data included here are for MT station mrv114 in the Mississippi River Valley survey region. A shapefile with station information for all stations in this dataset is available at https://doi.org/10.5066/P9F7HFH7.

Tags: apparent-resistivity, arkansas, conductivity, electromagnetic-surveying, exploration, geologic-structure, geology-geophysics-and-geochemistry-science-center, geophysics, geoscientificinformation, gggsc, illinois, impedance, kentucky, magnetic-field-earth, magnetotelluric-surveying, magnetotellurics, mineral-resources, mineral-resources-program, mississippi-embayment, missouri, mrp, mt, ozark-plateau, phanerozoic, phase, precambrian, quaternary, reelfoot-rift, saint-francois-mountains, tectonics, tennessee, time-series, tipper, usgs-5f91ddf682ce720ee2d33c50
Organization: Department of the Interior
Magnetotelluric data from Missouri, Arkansas, Tennessee, Illinois, and Kentucky, 2016-2019, station mrv019

This dataset consists of 127 wideband and 21 long-period magnetotelluric (MT) stations collected from 2016-2019 across parts of Missouri, Arkansas, Tennessee, Illinois, and Kentucky. The U.S. Geological Survey acquired these data as part of regional investigations into the geologic and tectonic framework of the area and to support mineral resource and geologic hazard investigations. These data have been used to generate a 3D regional conductivity model of the area. Files included in this publication include measured electric- and magnetic-field time series as well as estimated impedance and vertical-magnetic field transfer functions. The data included here are for MT station mrv019 in the Mississippi River Valley survey region. A shapefile with station information for all stations in this dataset is available at https://doi.org/10.5066/P9F7HFH7.

Tags: apparent-resistivity, arkansas, conductivity, electromagnetic-surveying, exploration, geologic-structure, geology-geophysics-and-geochemistry-science-center, geophysics, geoscientificinformation, gggsc, illinois, impedance, kentucky, magnetic-field-earth, magnetotelluric-surveying, magnetotellurics, mineral-resources, mineral-resources-program, mississippi-embayment, missouri, mrp, mt, ozark-plateau, phanerozoic, phase, precambrian, quaternary, reelfoot-rift, saint-francois-mountains, tectonics, tennessee, time-series, tipper, usgs-5f91d5c582ce720ee2d33c20
Organization: Department of the Interior
Magnetotelluric data from Missouri, Arkansas, Tennessee, Illinois, and Kentucky, 2016-2019, station mrv017

This dataset consists of 127 wideband and 21 long-period magnetotelluric (MT) stations collected from 2016-2019 across parts of Missouri, Arkansas, Tennessee, Illinois, and Kentucky. The U.S. Geological Survey acquired these data as part of regional investigations into the geologic and tectonic framework of the area and to support mineral resource and geologic hazard investigations. These data have been used to generate a 3D regional conductivity model of the area. Files included in this publication include measured electric- and magnetic-field time series as well as estimated impedance and vertical-magnetic field transfer functions. The data included here are for MT station mrv017 in the Mississippi River Valley survey region. A shapefile with station information for all stations in this dataset is available at https://doi.org/10.5066/P9F7HFH7.

Tags: apparent-resistivity, arkansas, conductivity, electromagnetic-surveying, exploration, geologic-structure, geology-geophysics-and-geochemistry-science-center, geophysics, geoscientificinformation, gggsc, illinois, impedance, kentucky, magnetic-field-earth, magnetotelluric-surveying, magnetotellurics, mineral-resources, mineral-resources-program, mississippi-embayment, missouri, mrp, mt, ozark-plateau, phanerozoic, phase, precambrian, quaternary, reelfoot-rift, saint-francois-mountains, tectonics, tennessee, time-series, tipper, usgs-5f91d01182ce720ee2d33be9
Organization: Department of the Interior
Magnetotelluric data from Missouri, Arkansas, Tennessee, Illinois, and Kentucky, 2016-2019, station mrv015

This dataset consists of 127 wideband and 21 long-period magnetotelluric (MT) stations collected from 2016-2019 across parts of Missouri, Arkansas, Tennessee, Illinois, and Kentucky. The U.S. Geological Survey acquired these data as part of regional investigations into the geologic and tectonic framework of the area and to support mineral resource and geologic hazard investigations. These data have been used to generate a 3D regional conductivity model of the area. Files included in this publication include measured electric- and magnetic-field time series as well as estimated impedance and vertical-magnetic field transfer functions. The data included here are for MT station mrv015 in the Mississippi River Valley survey region. A shapefile with station information for all stations in this dataset is available at https://doi.org/10.5066/P9F7HFH7.

Tags: apparent-resistivity, arkansas, conductivity, electromagnetic-surveying, exploration, geologic-structure, geology-geophysics-and-geochemistry-science-center, geophysics, geoscientificinformation, gggsc, illinois, impedance, kentucky, magnetic-field-earth, magnetotelluric-surveying, magnetotellurics, mineral-resources, mineral-resources-program, mississippi-embayment, missouri, mrp, mt, ozark-plateau, phanerozoic, phase, precambrian, quaternary, reelfoot-rift, saint-francois-mountains, tectonics, tennessee, time-series, tipper, usgs-5f91cace82ce720ee2d33bbe
Organization: Department of the Interior
Magnetotelluric data from Missouri, Arkansas, Tennessee, Illinois, and Kentucky, 2016-2019, station mrv014

This dataset consists of 127 wideband and 21 long-period magnetotelluric (MT) stations collected from 2016-2019 across parts of Missouri, Arkansas, Tennessee, Illinois, and Kentucky. The U.S. Geological Survey acquired these data as part of regional investigations into the geologic and tectonic framework of the area and to support mineral resource and geologic hazard investigations. These data have been used to generate a 3D regional conductivity model of the area. Files included in this publication include measured electric- and magnetic-field time series as well as estimated impedance and vertical-magnetic field transfer functions. The data included here are for MT station mrv014 in the Mississippi River Valley survey region. A shapefile with station information for all stations in this dataset is available at https://doi.org/10.5066/P9F7HFH7.

Tags: apparent-resistivity, arkansas, conductivity, electromagnetic-surveying, exploration, geologic-structure, geology-geophysics-and-geochemistry-science-center, geophysics, geoscientificinformation, gggsc, illinois, impedance, kentucky, magnetic-field-earth, magnetotelluric-surveying, magnetotellurics, mineral-resources, mineral-resources-program, mississippi-embayment, missouri, mrp, mt, ozark-plateau, phanerozoic, phase, precambrian, quaternary, reelfoot-rift, saint-francois-mountains, tectonics, tennessee, time-series, tipper, usgs-5f91c98782ce720ee2d33bb5
Organization: Department of the Interior