AndreaBozzo/ceres-open-data-index huggingface dataset:
Flood inundation map geospatial datasets for Lake Ontario, New York (ver. 2.0, November 2021)

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.
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, 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.
First posted June 21, 2021, ver 1.0
Revised November 2021, ver 2.0
Version 2.0: This version of the dataset has the same data as version 1.0, but some shapefile attributes were renamed to be more accurate and clearer, and the depth-grid rasters were renamed to include the associated water surface elevation within the raster file name. Detailed version history is included in Version_History_LakeOntarioFIMDataRelease.txt.
Version 1.0: This version is a package of flood inundation data for Lake Ontario including: 1) 8 shapefiles showing 40 estimated flood extents as polygons, 2) 40 raster datasets showing the depth of the water at 5 flood stages, divided into 8 shoreline segments, 3) 8 shapefiles showing the study limit extent of each segment, and 4) a metadata file.

Tags: flood, flood-inundation-maps, flooded-areas, flooding, lake-ontario, monroe-county-ny, new-york, usgs-6140d420d34e1449c5d60037, water-depth
Organization: Department of the Interior
Optimization simulations to estimate maximum brine injection rates in the Illinois Basin

We developed a methodology to estimate maximum brine injection rates in subsurface formations across wide geographic areas using inverse modeling-based optimization techniques. We first defined geographic areas where groundwater was too saline to meet the standard for drinking water and where sufficient confining units existed above and below the injection layers. We then assumed concurrent brine injection into a system of wells on a consistent 25 km x 25 km spacing across the entire modeled area. Taking advantage of symmetry, we represented each 25 km x 25 km injection area as a 12.5 km-long one-dimensional radial model, divided into 100 logarithmically-sized grid blocks. A single layer of grid blocks was used because homogenous porous media were assumed. Brine injection was simulated into the leftmost (innner) grid block, and the injection rate was automatically adjusted to meet a maximum pressure buildup to 80% of the fracturing pressure, estimated as the least principal stress, at the injection location. A secondary constraint of 1 bar maximum pressure increase at the right-most (far-field boundary) grid block after 50 years of injection was applied. We demonstrated this method on three stratigraphic layers that overlie the Mt. Simon Sandstone (MSS) in the Illinois Basin, as well as in the MSS itself, because the MSS is a well-known CO2 injection target with a large estimated CO2 storage capacity. CO2 storage in the MSS could be optimized by extracting brine from that formation and injecting it elsewhere, so the brine injection rates estimated with the models contained herein could help to refine CO2 storage capacity estimates.

Tags: cambrian, cenozoic, co2-sequestration, devonian, groundwater, groundwater-model, holocene, illinois, illinois-basin, indiana, itough2, kentucky, missouri, ordovician, pest, phanerozoic, quaternary, silurian, usgs-6140d759d34e1449c5d60077, usgsgroundwatermodel
Organization: Department of the Interior
Remotely mapped lineaments in north-central New Mexico

This dataset provides lineaments remotely observed and interpreted on 1-m lidar data in northern New Mexico. Several types of lineaments were mapped, including scarps, vegetation contrasts, vegetation lineaments, tonal contrasts, tonal lineaments, and topographic lineaments. Some of these lineaments are interpreted to be Quaternary active faults whereas others are interpreted as older bedrock faults.

Tags: active-faulting, biota, colorado-plateau, new-mexico, rio-grande-rift, seismic-hazard, usgs-6140d9abd34e1449c5d6007e
Organization: Department of the Interior
Simplified fault traces for seismic hazard, north-central New Mexico

This dataset provides simplified fault traces for the Gallina, Willow Creek, and West and East Brazos Peak fault systems in north-central New Mexico.

Tags: active-faulting, biota, colorado-plateau, new-mexico, rio-grande-rift, seismic-hazard, usgs-6140db2ad34e1449c5d60091
Organization: Department of the Interior
Estimated crop irrigation water use withdrawals in Hualapai Valley Groundwater Basin, Arizona for 2014-2018

Observations of irrigated agricultural land within the Hualapai Valley Groundwater Basin in Arizona. Crops were estimated via satellite imagery or verified in situ for 2014-2018, based on digitized field boundaries. Field boundaries were digitized from U.S. Department of Agriculture, National Agricultural Imagery Program images dated 2015 and 2017 as well as the Landsat and Sentinel2 imagery collections accessed via the U.S. Geological Survey LandsatLook Viewer (https://landlook.usgs.gov/landlook/). Satellite images were also used to observe crop type, crop growing season, crop condition, and irrigation system characteristics. Water withdrawals were calculated using the modified Blaney-Criddle model of calculating consumptive use (U.S. Bureau of Reclamation, 1992 appendix A) using crop coefficients from Doorenbos and Pruitt (1975), the number of acres with active crops, crop condition, and irrigation system efficiency. The withdrawal equation was modified from "Water withdrawals for irrigation, municipal, mining, thermoelectric-power, and drainage uses in Arizona outside of active management areas, 1991-2000" (Tadayon, 2005) to account for variations in water application.

Tags: agricultural-sites, arizona, groundwater, hualapai-valley-groundwater-basin, irrigation, usgs-6140dde6d34e1449c5d600d6, water-use
Organization: Department of the Interior
Reflectance spectra of agricultural field conditions supporting remote sensing evaluation of non-photosynthetic vegetation cover

This data release contains spectra used to evaluate narrow-band shortwave infrared indices suitable for measurement of non-photosynthetic vegetation (NPV). The original data were collected using a proximal Analytical Spectral Devices(ASD) FieldSpecPro spectroradiometer, and are also provided in various states of processing, all of which is described in the manuscript referenced below.    
Items 1-9 include spectra, items 10-12 include statistical descriptions of correlation goodness of fit between derived indices and fractional NPV cover, and item 13 contains estimated Landsat Next sensor radiometric properties. Item 14 includes spectra added to version 1.1 of this data release which corresponds to a closely related 2022 research effort and publication.   
The data provided here, and the processes used to calculate and analyze them, are further discussed in Hively, W.D., Lamb, B.T., Daughtry, C.S.T., Serbin, G., Dennison, P., Kokaly, R.F., Wu, Z., and Masek, J., 2021.  Evaluation of SWIR recommended crop residue bands for the Landsat Next mission. Remote Sensing, 13, 18, 3718. https://doi.org/10.3390/rs13183718. 
Additional spectra processing techniques for item 14 are discussed in an additional publication by Lamb, B.T., Dennison, P., Hively, W.D., Kokaly, R.F., Serbin, G., Wu, Z., Dabney, P., Masek, J.G., Campbell, M., Daughtry, C.S.T. 2022. Optimizing Landsat Next Shortwave Infrared Bands for Crop Residue Characterization. Remote Sensing (in review).
Contents   
1 ASD spectra for agricultural targets.csv   
2 Gaussian spectra for agricultural targets.csv   
3 Gaussian atm spectra for agricultural targets.csv   
4 Boxcar spectra for agricultural targets.csv   
5 Crop residue spectra.csv   
6 Soil spectra.csv   
7 MODTRAN mean reflectance and calculated radiance.csv   
8 Gaussian spectra for shrubs and grassland targets.csv   
9 Gaussian atm spectra for shrubs and grassland targets.csv   
10 Index gaussian correlation output for agricultural targets.csv   
11 Index boxcar correlation output for agricultural targets.csv   
12 Index correlation output for shrubs and grassland targets.csv   
13 Sensor radiometric properties.csv   
14 Boxcar 1 nm interval spectra for agricultural targets.csv

Tags: crop-residue, hyperspectral, remote-sensing, usgs-6140e093d34e1449c5d600f2
Organization: Department of the Interior
Lake Ontario April Prey Fish Bottom Trawl Survey, 1997-2021

This data release includes Lake Ontario prey fish data including species captured, relative abundance, spatial distribution, size structure, and age data from the April or spring prey fish bottom trawl survey, 1997 and 2021. Data from 1997 - 2015 are from U.S. waters of Lake Ontario while data from 2016 - 2021 include both U.S. and Canadian waters of Lake Ontario. Details about the vessel and gear descriptions, sampling protocols, and catch processing protocols can be found in the Process sections of this metadata. 
Portions of this data release follows the data model of the USGS Great Lakes Science Center Research Vessel Catalog (RVCAT). The trawl data included in this data release are a subset of the larger RVCAT data base. We note the data included at the time of this release were not yet available in the overall RVCAT data release. The RVCAT data can be found here: https://doi.org/10.5066/F75M63X0.

Tags: alewife, biota, bottom-trawl, cisco, field-sampling, fish, freshwater-ecosystems, inlandwaters, lake-ontario, new-york, ontario, population-dynamics, prey-fish, rainbow-smelt, three-spined-stickleback, usgs-6140e604d34e1449c5d6011a
Organization: Department of the Interior
USGS National and Global Oil and Gas Assessment Project - Western Australia Assessment Unit Boundaries and Assessment Input Forms

This data release contains the boundaries of conventional assessment units for the assessment of undiscovered oil and gas resources in Perth Basin, NW Shelf, Browse Basin, and Bonaparte Gulf Basin Provinces of Western Australia.  The Assessment Unit is the fundamental unit used in the National Assessment Project for the assessment of undiscovered oil and gas resources.  The Assessment Unit is defined within the context of the higher-level Total Petroleum System.  The Assessment Unit is shown herein as a geographic boundary interpreted, defined, and mapped by the geologist responsible for the province and incorporates a set of known or postulated oil and (or) gas accumulations sharing similar geologic, geographic, and temporal properties within the Total Petroleum System, such as source rock, timing, migration pathways, trapping mechanism, and hydrocarbon type.  The Assessment Unit boundary is defined geologically as the limits of the geologic elements that define the Assessment Unit, such as limits of reservoir rock, geologic structures, source rock, and seal lithologies. Methodology of assessments are documented in USGS DDS69-D, Chapter 21 for conventional assessments (https://pubs.usgs.gov/dds/dds-069/dds-069-d/REPORTS/69_D_CH_21.pdf).

Tags: assessment-unit, australia, conventional-assessment-unit, energy-resources, geology, geoscientificinformation, mesozoic-cenozoic-reservoirs, national-assessment-of-oil-and-gas, natural-gas, natural-gas-resources, noga2000, oil, oil-resources, oilgas, petroleum, resource-assessment, upper-paleozoic-mesozoic-reservoirs, usgs-61420f08d34e0df5fb947f0a
Organization: Department of the Interior
USGS National and Global Oil and Gas Assessment Project-China Assessment Unit Boundaries and Assessment Input Forms

This data release contains the boundaries of conventional assessment units for the assessment of undiscovered oil and gas resources in China.  The Assessment Unit is the fundamental unit used in the National Assessment Project for the assessment of undiscovered oil and gas resources.  The Assessment Unit is defined within the context of the higher-level Total Petroleum System.  The Assessment Unit is shown herein as a geographic boundary interpreted, defined, and mapped by the geologist responsible for the province and incorporates a set of known or postulated oil and (or) gas accumulations sharing similar geologic, geographic, and temporal properties within the Total Petroleum System, such as source rock, timing, migration pathways, trapping mechanism, and hydrocarbon type.  The Assessment Unit boundary is defined geologically as the limits of the geologic elements that define the Assessment Unit, such as limits of reservoir rock, geologic structures, source rock, and seal lithologies. Methodology of assessments are documented in USGS DDS69-D, Chapter 21 for conventional assessments (https://pubs.usgs.gov/dds/dds-069/dds-069-d/REPORTS/69_D_CH_21.pdf).

Tags: assessment-unit, cenozoic-reservoirs, china, conventional-assessment-unit, energy-resources, geology, geoscientificinformation, lower-paleozoic-conventional-reservoirs, mesozoic-cenozoic-reservoirs, mesozoic-sandstone-reservoirs, middle-proterozoic-paleozoic-reservoirs, national-assessment-of-oil-and-gas, natural-gas, natural-gas-resources, noga2000, oil, oil-resources, oilgas, paleozoic-reservoirs, petroleum, resource-assessment, sichuan-central-uplift, sichuan-foreland-basins, sichuan-southeast-fold-belt, songliao-post-rift-sourced-reservoirs, songliao-synrift-sourced-reservoirs, upper-paleozoic-cenozoic-reservoirs, usgs-61422f1dd34e0df5fb947fd8, western-deformed-belt-reservoirs
Organization: Department of the Interior
Evapotranspiration at the Clewiston Marsh Platform, Lake Okeechobee, Florida, June 15, 2017 - January 21, 2020

The dataset includes a table in comma delimited format of daily evapotranspiration (ET) from 6/15/2017 to 1/21/2020 from an ET station in wetlands along the western perimeter of Lake Okeechobee, near Clewiston, Florida. The dominant plant cover at the study site is sawgrass (Cladium jamaicense) with secondary amounts of cattails and open water surfaces such as canals for boat navigation. Sawgrass and cattail height generally varies from less than 1 to 2.4 meters. The depth of water in the wetland averages less than 1 meter above land surface but exceeds 1.5 meters when water levels are high in Lake Okeechobee. In contrast, water levels were less than 1 meter below land surface in the wetland from May to June of 2019. Evapotranspiration was estimated using eddy-covariance methods and missing records were gap-filled with the Priestley-Taylor (PT) equation (Priestley and Taylor, 1972) that was regressed against observed daily values of eddy-covariance ET. A constant value of 1.22374 was estimated by regression for the alpha coefficient in the PT equation to minimize residuals.  Data processing methods were similar to methods outlined by Shoemaker and others (2011). Ancillary data includes net radiation, relative humidity, air temperature, and lake water temperature.

Tags: eddy-covariance-method, evapotranspiration, florida, hydrology, lake-okeechobee, lakes, usgs-61423278d34e0df5fb947ff5, water-budgets, wetlands
Organization: Department of the Interior
Estimated crop irrigation water use withdrawals in Hualapai Valley Groundwater Basin, Arizona for 2014

Observations of irrigated agricultural land within the Hualapai Valley Groundwater Basin in Arizona. Landsat and Sentinel2 imagery collections accessed via the U.S. Geological Survey LandsatLook Viewer (https://landlook.usgs.gov/landlook/) were used to digitize field boundaries, as well as observe crop type, crop growing season, crop condition, and irrigation system characteristics. Water withdrawals were calculated using the modified Blaney-Criddle model of calculating consumptive use (U.S. Bureau of Reclamation, 1992 appendix A) using crop coefficients from Doorenbos and Pruitt (1975), the number of acres with active crops, crop condition, and irrigation system efficiency. The withdrawal equation was modified from "Water withdrawals for irrigation, municipal, mining, thermoelectric-power, and drainage uses in Arizona outside of active management areas, 1991-2000" (Tadayon, 2005) to account for variations in water application.

Tags: agricultural-sites, arizona, groundwater, hualapai-valley-groundwater-basin, irrigation, usgs-61425402d34e0df5fb948053, water-use
Organization: Department of the Interior
Estimated crop irrigation water use withdrawals in Hualapai Valley Groundwater Basin, Arizona for 2015

Observations of irrigated agricultural land within the Hualapai Valley Groundwater Basin in Arizona. Crops were verified in situ once in 2015 on April 23rd, based on digitized field boundaries. Field boundaries were digitized from U.S. Department of Agriculture, National Agricultural Imagery Program images dated 2015 and supplemented with Landsat and Sentinel2 imagery collections accessed via the U.S. Geological Survey LandsatLook Viewer (https://landlook.usgs.gov/landlook/). Satellite images were also used to identify the length of the growing season and crop condition. Water withdrawals were calculated using the modified Blaney-Criddle model of calculating consumptive use (U.S. Bureau of Reclamation, 1992 appendix A) using crop coefficients from Doorenbos and Pruitt (1975), the number of acres with active crops, crop condition, and irrigation system efficiency. The withdrawal equation was modified from "Water withdrawals for irrigation, municipal, mining, thermoelectric-power, and drainage uses in Arizona outside of active management areas, 1991-2000" (Tadayon, 2005) to account for variations in water application.

Tags: agricultural-sites, arizona, groundwater, hualapai-valley-groundwater-basin, irrigation, usgs-614255d4d34e0df5fb94805c, water-use
Organization: Department of the Interior
Estimated crop irrigation water use withdrawals in Hualapai Valley Groundwater Basin, Arizona for 2016

Observations of irrigated agricultural land within the Hualapai Valley Groundwater Basin in Arizona. Crops were verified in situ once in 2016 on August 1st, based on digitized field boundaries. Field boundaries were digitized from U.S. Department of Agriculture, National Agricultural Imagery Program images dated 2015 and supplemented with Landsat and Sentinel2 imagery collections accessed via the U.S. Geological Survey LandsatLook Viewer (https://landlook.usgs.gov/landlook/). Satellite images were also used to identify the length of the growing season and crop condition. Water withdrawals were calculated using the modified Blaney-Criddle model of calculating consumptive use (U.S. Bureau of Reclamation, 1992 appendix A) using crop coefficients from Doorenbos and Pruitt (1975), the number of acres with active crops, crop condition, and irrigation system efficiency. The withdrawal equation was modified from "Water withdrawals for irrigation, municipal, mining, thermoelectric-power, and drainage uses in Arizona outside of active management areas, 1991-2000" (Tadayon, 2005) to account for variations in water application.

Tags: agricultural-sites, arizona, groundwater, hualapai-valley-groundwater-basin, irrigation, usgs-614256fcd34e0df5fb948065, water-use
Organization: Department of the Interior
Estimated crop irrigation water use withdrawals in Hualapai Valley Groundwater Basin, Arizona for 2017

Observations of irrigated agricultural land within the Hualapai Valley Groundwater Basin in Arizona. Crops were verified in situ twice in 2017 on February 28th and July 17th, based on digitized field boundaries. Field boundaries were digitized from U.S. Department of Agriculture, National Agricultural Imagery Program images dated 2017 and supplemented with Landsat and Sentinel2 imagery collections accessed via the U.S. Geological Survey LandsatLook Viewer (https://landlook.usgs.gov/landlook/). Satellite images were also used to identify the length of the growing season and crop condition. Water withdrawals were calculated using the modified Blaney-Criddle model of calculating consumptive use (U.S. Bureau of Reclamation, 1992 appendix A) using crop coefficients from Doorenbos and Pruitt (1975), the number of acres with active crops, crop condition, and irrigation system efficiency. The withdrawal equation was modified from "Water withdrawals for irrigation, municipal, mining, thermoelectric-power, and drainage uses in Arizona outside of active management areas, 1991-2000" (Tadayon, 2005) to account for variations in water application.

Tags: agricultural-sites, arizona, groundwater, hualapai-valley-groundwater-basin, irrigation, usgs-614257a4d34e0df5fb948068, water-use
Organization: Department of the Interior
Bayou Dupont Sediment Delivery - Marsh Creation #3 and Terracing (BA-0164) and Mississippi River Long Distance Sediment Pipeline (BA-0043-EB) Marsh Creation: 2018 land-water classification

The Louisiana State Legislature created the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in order to conserve, restore, create and enhance Louisiana's coastal wetlands. The wetland restoration plans developed pursuant to these acts specifically require an evaluation of the effectiveness of each coastal wetlands restoration project in achieving long-term solutions to arresting coastal wetlands loss. This data set includes mosaicked aerial photographs for two projects: The Bayou Dupont Sediment Delivery - Marsh Creation #3 and Terracing (BA-0164) and Mississippi River Long Distance Sediment Pipeline (BA-0043-EB) Marsh Creation project for 2018. This data is used as a basemap land-water classification. It also serves as a visual tool for project managers to help them identify any obvious problems or land loss within their project boundary. To better evaluate the effectiveness of restoration efforts, a land-water classification is performed on specific CWPPRA sites to help assess landscape changes.

Tags: aerial-photography, ba-0043-eb, ba-0164, conservation, cwppra, digital-elevation-models, ecosystem-monitoring, geographic-information-systems, gulf-of-mexico, image-collections, image-mosaics, louisiana, louisiana-coastal, remote-sensing, usgs-6143591dd34e0df5fb951528, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior