AndreaBozzo/ceres-open-data-index huggingface dataset:
Flood inundation map geospatial datasets for Lake Ontario, New York

Static flood inundation boundary extents were created along the entire shoreline of Lake Ontario in Cayuga, Jefferson, Monroe, Niagara, Orleans, Oswego, and Wayne Counties in New York by using recently acquired (2007, 2010, 2014, and 2017) light detection and ranging (lidar) data. 
The flood inundation maps, accessible through the USGS Flood Inundation Mapping Program website at https://www.usgs.gov/mission-areas/water-resources/science/flood-inundation-mapping-fim-program, depict estimates of the areal extent and water depth of shoreline flooding in 8 segments corresponding to adjacent water-surface elevations (stages) at 8 USGS lake gages on Lake Ontario. 
This item includes data sets for segment C - Lake Ontario at Braddock Heights, NY (station number 04220253).
These datasets demonstrate the estimated extent and depth of lake flooding at specific water levels of 1-foot increments from 247.0 ft to 251.0 ft (International Great Lakes Datum of 1985). In this study, wind and seiche effects were not represented; therefore, the flood inundation maps reflect five stages for Lake Ontario that are static for the entire shoreline area of the lake.
In this study, wind and seiche effects were not represented; therefore, the flood-inundation maps reflect five stages for Lake Ontario that are static for the entire shoreline area of the lake.
This item is a package of flood inundation data for segment C - Lake Ontario at Braddock Heights, NY (station number 04220253) including:
1) 1 shapefile showing 5 estimated flood extents as polygons,
2) 5 raster datasets showing the depth of the water at 5 flood stages,
3) 1 shapefile showing the study limit extent of segment C, and
4) a metadata file.
The polygon flood extent shapefiles were developed from digital elevation models (DEMs) derived from the lidar to represent the estimated areal extent for five flood stages for segment C. 
The raster files depict the depth, in feet (referenced to the International Great Lakes Datum of 1985), of the water in the inundated areas along the shoreline of Lake Ontario during the five theoretical flood stages. 
The depth grids were created by subtracting the digital elevation model (DEM) values (in feet) from each of five raster files representing the flood extent at each constant water level (in feet). An approximately 100-meter buffer was used as the extent into the lake.

Tags: flood, flood-inundation-maps, flooded-areas, flooding, lake-ontario, monroe-county-ny, new-york, usgs-604296dad34eb1203119d9f1, water-depth
Organization: Department of the Interior
Vibracore CT scans from the San Lorenzo River

This data release contains information on computed tomography (CT) images of a vibracore that was collected by the U.S. Geological Survey in 2019. A site next to the San Lorenzo River in Henry Cowell Redwoods State Park, California, was cored to understand the history of recent vertical incision and floodplain abandonment. The core was split into 3 segments after collection. Each segment was scanned using a Geotek Rotating X-ray CT (RXCT) System and CT reconstruction was performed using Geotek reconstruction software. Geotek CT_Quickview software was used to select a representative down-core orthogonal slice from each core segment and the Geotek AddRuler software was used to display core-lengths in each image. The downcore orthogonal slice CT images of each core segment are included as three separate TIFF files. Each TIFF file is accompanied by a software-proprietary XML file  that contains the x-ray scanning configuration and settings in addition to dimensional data of the TIFF images.

Tags: cmhrp, coastal-and-marine-hazards-and-resources-program, core-analysis, erosion, geoscientificinformation, henry-cowell-redwoods-state-park, nonliving-resources, pacific-coastal-and-marine-science-center, pcmsc, physical-chemical-features, physical-habitats-and-geomorphology, river, san-lorenzo-river, sediment, state-of-california, u-s-geological-survey, ucsc, united-states-of-america, university-california-santa-cruz, usgs, usgs-6042bf03d34eb1203119db7e
Organization: Department of the Interior
Results from HUC -8 Climate Change Vulnerability Assessment Map for US FWS Region 3

In order to better understand the combined impacts of climate change and spatially identify where changes are anticipated to be most extreme, we developed a climate change vulnerability map for the Midwest Region.  The vulnerability map is watershed-based (Hydrologic Unit Code-8) and combines fifteen climate change indicators evenly divided into three categories: temperature, precipitation, and hydrology that were selected by resource managers working in Region 3 of the United States Fish and Wildlife Service. The projected change in each of these indicators from the baseline period (1986-2005) to the future period (2040-2059) was aggregated into a composite score for each watershed. Landscape-scale metrics reflective of a watershed’s adaptive capacity were combined with the climate change impact indicators to produce a vulnerability score. We found sub-regional variation in vulnerability to climate change with the greatest vulnerability in Iowa, central Illinois, and northwest Ohio. Greater potential impact was seen in the higher emissions scenario resource concentration pathway (RCP) 8.5 compared to the lower emissions scenario RCP 4.5, but similar spatial vulnerabilities were identified between the two emissions scenarios. By quantifying and mapping hotspots of climate change vulnerability, resource managers can use climate impact information to adjust adaptation strategies and identify areas of prioritization accordingly.

Tags: adaptation-planning, biota, climate-change-vulnerability-assessment, decision-relevant-metrics, none, usgs-60429256d34eb1203119d956, watershed-model
Organization: Department of the Interior
Flood inundation map geospatial datasets for Lake Ontario, New York

Static flood inundation boundary extents were created along the entire shoreline of Lake Ontario in Cayuga, Jefferson, Monroe, Niagara, Orleans, Oswego, and Wayne Counties in New York by using recently acquired (2007, 2010, 2014, and 2017) light detection and ranging (lidar) data. 
The flood inundation maps, accessible through the USGS Flood Inundation Mapping Program website at https://www.usgs.gov/mission-areas/water-resources/science/flood-inundation-mapping-fim-program, depict estimates of the areal extent and water depth of shoreline flooding in 8 segments corresponding to adjacent water-surface elevations (stages) at 8 USGS lake gages on Lake Ontario. 
This item includes data sets for segment B - Lake Ontario at Hamlin Beach State Park near North Hamlin, NY (station number 04220209).
These datasets demonstrate the estimated extent and depth of lake flooding at specific water levels of 1-foot increments from 247.0 ft to 251.0 ft (International Great Lakes Datum of 1985). In this study, wind and seiche effects were not represented; therefore, the flood inundation maps reflect five stages for Lake Ontario that are static for the entire shoreline area of the lake.
In this study, wind and seiche effects were not represented; therefore, the flood-inundation maps reflect five stages for Lake Ontario that are static for the entire shoreline area of the lake.
This item is a package of flood inundation data for segment B - Lake Ontario at Hamlin Beach State Park near North Hamlin, NY (station number 04220209) including:
1) 1 shapefile showing 5 estimated flood extents as polygons,
2) 5 raster datasets showing the depth of the water at 5 flood stages,
3) 1 shapefile showing the study limit extent of segment B, and
4) a metadata file.
The polygon flood extent shapefiles were developed from digital elevation models (DEMs) derived from the lidar to represent the estimated areal extent for five flood stages for segment B. 
The raster files depict the depth, in feet (referenced to the International Great Lakes Datum of 1985), of the water in the inundated areas along the shoreline of Lake Ontario during the five theoretical flood stages. 
The depth grids were created by subtracting the digital elevation model (DEM) values (in feet) from each of five raster files representing the flood extent at each constant water level (in feet). An approximately 100-meter buffer was used as the extent into the lake.

Tags: flood, flood-inundation-maps, flooded-areas, flooding, lake-ontario, monroe-county-ny, new-york, orleans-county-ny, usgs-60428fbad34eb1203119d84d, water-depth
Organization: Department of the Interior
Daily HAWQS/SWAT Outputs along with Climate Inputs for USFWS Region 3 HUC-8 Watersheds

This dataset contains the input (temperature and precipitation from climate models) and output from the Soil and Water Assessment Tool (SWAT) model runs using the Hydrologic and Water Quality System (HAWQS) platform (https://hawqs.tamu.edu/). The HAWQS platform is an online tool developed by Texas A&amp;M and US EPA to allow scientists and decision-makers to run large scale watershed simulation models using the Soil &amp; Water Assessment Tool (SWAT) model without the need to download/install software, gather input data, perform initialization steps, or use up local computer resources. We ran the model at the Hydrologic Unit Code-8 scale over Region 3 of the United States Fish and Wildlife Service (Illinois, Indiana, Iowa, Michigan, Minnesota, Missouri, Ohio, and Wisconsin). The climate inputs were historic temperature and precipitation from the Parameter-elevation Relationships on Independent Slopes Model (PRISM), and future projections using downscaled Localized Constructed Analogs (LOCA). We used five LOCA downscaled climate models (CanESM2, CCSM4, GISS-E2-R, HadGEM2-ES, and MIROC5) and two Representative Concentration Pathways (RCP 4.5 &amp; RCP 8.5). The output from the SWAT model consisted of two files, the subbasin file containing metrics related to the watershed, and the reach file containing metrics from the stream/river. All inputs and outputs are on daily timesteps. We summarized the hydrologic outputs at monthly or annual time scales before analysis because comparisons with historic gage data showed the monthly and annual estimates performed better than the daily estimates.

Tags: adaptation-planning, biota, climate-change-vulnerability-assessment, decision-relevant-metrics, usgs-60428f87d34eb1203119d83a, watershed-model
Organization: Department of the Interior
Percent Change in Exposure Indicators at HUC-8 scale from US FWS Region 3 Climate Change Vulnerability Assessment Map

This dataset contains the percent change in means (over 20-year periods) of annual climate change metrics calculated from the climate change inputs and the hydrology outputs from the HAWQS/SWAT model. The metrics are fifteen climate change indicators evenly divided into three categories: temperature, precipitation, and hydrology that were selected by resource managers working in Region 3 of the United States Fish and Wildlife Service. The projected percent change in each of these indicators from the baseline period (1986-2005) to the future period (2040-2059) in provided at the HUC-8 scale for USFWS Region 3 (Illinois, Indiana, Iowa, Michigan, Minnesota, Missouri, Ohio, and Wisconsin).These indicators were used to construct the potential impact component of the vulnerability assessment.

Tags: adaptation-planning, biota, climate-change-vulnerability-assessment, decision-relevant-metrics, none, usgs-60428c25d34eb1203119d734, watershed-model
Organization: Department of the Interior
Adaptive Capacity Indicators for HUC-8 Watersheds in US FWS Region 3

This file contains five metrics that were selected to collectively represent the adaptive capacity of each of the 360 HUC-8 watersheds in US Fish and Wildlife Service Region 3 (Illinois, Indiana, Iowa, Michigan, Minnesota, Missouri, Ohio, and Wisconsin). The metrics were: percent cultivated, density of dams, projected increase in developed land cover, landscape diversity and local connectedness. Percent cultivated land cover was obtained from the National Agricultural Statistics Services 2018 Cultivated layer and was calculated by dividing the number of cultivated grid cells by the total number of grid cells in each watershed.  Density of dams was calculated as the number of dams per area of the watershed using the 2018 National Inventory of Dams from The Army Corps of Engineers. Projected increase in develop land cover was estimated using projections of future land cover developed using the USGS’s FORE-SCE model for the conterminous United States by taking the total number of grid cells classified as developed land cover and dividing by the total number of grid cells in each watershed and then calculated the difference between the future (midcentury) and baseline periods. Landscape diversity and local connectedness were both created by The Nature Conservancy’s Resilient Lands Mapping Project and were calculated as the average score among all the grid cells within each HUC for each metric. All of these metrics were min-max normalized and combined to create the adaptive capacity component of the climate change vulnerability index for Region 3 of the US Fish and Wildlife Service.

Tags: adaptation-planning, biota, climate-change-vulnerability-assessment, decision-relevant-metrics, none, usgs-60428754d34eb1203119d4d9, watershed-model
Organization: Department of the Interior
Geochemical and mineralogic investigation of elevated arsenic and trace element concentrations in glauconitic soils and sediments of the New Jersey Inner Coastal Plain

The U.S. Geological Survey New Jersey Water Science Center (USGS NJWSC) in cooperation with the New Jersey Department of Environmental Protection (NJDEP) has assembled this data release in support of ongoing USGS and NJDEP evaluations related to the occurrence and distribution of elevated trace elements, particularly arsenic (As) and vanadium (V), in Inner Coastal Plain soils and sediments of New Jersey. 
The data for four sediment cores are presented, and the data types include: 
1. Site locations and general characteristics for the four sediment cores collected during the study; 
2. Lithologic descriptions of each sediment core; 
3. Portable handheld X-ray fluorescence (pXRF) data for each sediment core (every 6 inches) to qualitatively evaluate the environmental occurrence and vertical distribution of arsenic (As), vanadium (V), and lead (Pb). The pXRF data were used as a screening tool to identify sediments with elevated concentrations of these elements for further chemical and mineralogical analysis; 
4. Chemical analysis of a subset of selected sediment core samples for 22 trace elements; 
5. Quality-assurance and quality-control (QA/QC) data to evaluate the quality of the data collected by the sampling team and to validate the precision and quality of the data generated by the laboratory analysis; 
6. Semi-quantitative (with clay) whole rock mineralogy by X-ray diffraction (XRD) analysis for selected sediment core samples; and 
7. Analysis of selected sediment sample splits using a scanning electron microscope equipped with energy dispersive X-ray spectrometer to identify distinct As or V enriched mineral phases or zones within mineral grains. 
The information and data presented herein are relevant to the NJDEP, other state and federal agencies, site-remediation professionals, and others evaluating elevated trace-element concentrations in soils and sediments of the New Jersey Inner Coastal Plain.

Tags: arsenic, biota, chemical-analysis, core-analysis, drilling-and-coring, environment, geochemical-processes, geochemistry, glauconite, mineralogy, new-jersey, new-jersey-inner-coastal-plain, pesticide-and-herbicide-contamination, scanning-electron-microscopy, sediment, soil, unconsolidated-deposits, usgs-60425fe4d34eb1203119c419, vanadium, x-ray-diffraction, x-ray-fluorescence
Organization: Department of the Interior
Ellicottville study area hydrogeologic framework layers

Digital hydrogeologic datasets were developed for the Ellicottville study area in upstate New York in cooperation with the New York State Department of Environmental Conservation. These datasets define the hydrogeologic framework of the valley-fill aquifer and surrounding till-covered uplands within the study area. Datasets include: bedrock elevation raster, LIDAR minimum elevation raster, valley-fill extent polygon, and surficial geology polygons. Elevation layers were interpolated at 125-foot discretization to match what was done in previous work.

Tags: aquifer-mapping, bedrock-mapping, cattaraugus-county, ellicottville, glacial-geology, hydrogeologic-framework, lacustrine-silt-and-clay, new-york, sourcewater, usgs-60412b6fd34eb12031187590, valley-fill
Organization: Department of the Interior
Geospatial data and hydraulic-model archive for evaluation of flood-inundation maps developed for a reach of the Little Blue River at Grandview, Missouri

The U.S. Geological Survey (USGS) in cooperation with the city of Grandview, Missouri, assessed flooding of the Little Blue River at Grandview resulting from varying precipitation magnitudes and durations, and expected land cover changes. The precipitation scenarios were used to develop a library of flood-inundation maps that included a 3.5-mile reach of the Little Blue River and tributaries within and adjacent to the city. 
A hydrologic model of the upper Little Blue River Basin, and hydraulic model of a selected study reach of the Little Blue River and tributaries were constructed to assess streamflow magnitudes associated with simulated precipitation amounts and the resulting flood-inundation conditions. The U.S. Army Corps of Engineers Hydrologic Engineering Center-Hydrologic Modeling System (HEC–HMS) version 4.41 was used to simulate the amount of streamflow produced from a range of rain events. The Hydrologic Engineering Center-River Analysis System (HEC–RAS) version 5.07 was then used to construct a steady-state hydraulic model to map resulting areas of flood inundation.
The hydraulic and hydrologic models were calibrated to the May 28, 2020, high-flow event that produced a peak streamflow approximating a 10-percent annual exceedance probability (10-year flood-frequency recurrence intervals) at the USGS streamgage Little Blue River at Grandview, Missouri (06893750).  The calibrated HEC–HMS model was used to simulate streamflows from design rainfall events of 1- to 8-hour duration and ranging from a 100-percent to 0.2-percent annual exceedance probability. Flood-inundation maps were produced for USGS streamflow stages of 17 feet or near bankfull, up to 23 feet, or the stage exceeding the 0.2-percent annual exceedance interval flood using the HEC-RAS model.  This data release includes:
1) a raster dataset of the streamflow depths at reference gage stages of 17.0 to 23.0 feet (LittleBlueRiverStreamflowDepths.zip);
2) a polygon dataset of the streamflow inundation extent (LittleBlueRiverStreamflowExtents.zip);
3) a zip file containing all relevant files to document and run the Hydrological Engineering Center-River Analysis System (HEC-RAS) one-dimensional hydraulic model used to generate raster datasets of stream depth and polygon datasets of streamflow extent(LittleBlueRiver_HEC-RAS_ModelArchive.zip).

Tags: geospatial-analysis, grandview, little-blue-river, missouri, usgs-6040f8f5d34eb120311874c3
Organization: Department of the Interior
Apatite and zircon U/Pb and fission track geochronologic and thermochronologic data along the Fall Line of the southeastern United States

This data release contains apatite and zircon U/Pb and fission track data for six samples collected along the Fall Line of the southeastern United States, from Virginia to the Georgia-South Carolina border. The data resolve phases of rapid exhumational cooling in the Permo-Triassic, additional cooling in the Jurassic-Early Cretaceous and slower cooling since the middle of the Cretaceous. The data are also compatible with an episode of burial/magmatic heating in the Triassic-Jurassic. Overall, these data may explain the lack of preserved Upper Jurassic-earliest Cretaceous strata beneath onshore areas of the southeastern United States.

Tags: apatite, city-of-richmond, columbia-county, fission-track-dating, halifax-county, harnett-county, nash-county, plutonic-rock, richland-county, uranium-lead-analysis, usgs-6040d5f9d34eb1203118743a, zircon
Organization: Department of the Interior
Water temperature data to support effectiveness monitoring of channel and floodplain restoration projects along the Willamette River, Oregon: Collins Bay 2019-2020

Continuous water-temperature data were collected at multiple sites along the Middle Fork and mainstem Willamette Rivers between Jasper and Newberg, Oregon, to support effectiveness monitoring for a large-scale channel and floodplain restoration program (Willamette Focused Investment Partnership, WFIP). Continuous water temperature loggers were deployed at a subset of WFIP restoration sites where river restoration activities were implemented to improve habitat conditions for native fish species. Data from water-temperature monitoring will be used to evaluate the effectiveness of restoration activities at improving habitat conditions for ESA-listed salmonids and other native fish  in the Willamette River. Additionally, water temperature monitoring in summer and early fall months at restoration sites is useful for determining whether thermal conditions at these sites are optimal, sub-optimal, or lethal for cold-water adapted fish species like spring Chinook salmon (Oncorhynchus tshawytscha). Temperature monitoring for this study spans 2019 through 2022. Water-temperature loggers were suspended in the water column on a wire between a concrete block and a buoy as part of a monitoring arrays installed at multiple off-channel location throughout the study area.
This document describes data collected at the Collins Bay monitoring site between 06/27/2019 and 10/21/2020. The monitoring site is within an alcove perennially connected to the Willamette River and includes one monitoring array consisting of two water-temperature loggers suspended in the water column from 06/27/2019 to 07/30/2020 and then one-logger from 07/30/2020 to 10/21/2020.

Tags: albany, alcove, collins-bay, effectiveness-monitoring, gravel-pit, hydrology, inland-waters, middle-fork-willamette-river, middle-willamette-river, native-fish, off-channel, oregon, pond, restoration, river, salem, springfield, surface-water, upper-willamette-river, usgs-60403e74d34eb120311873ea, water-temperature, willamette-basin, willamette-confluence-preserve, willamette-river
Organization: Department of the Interior