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 E - Lake Ontario at Sodus Point, NY (station number 0423207760).
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 E - Lake Ontario at Sodus Point, NY (station number 0423207760) 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 E, 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 E. 
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, new-york, usgs-61410475d34e1449c5d601c8, water-depth, wayne-county-ny
Organization: Department of the Interior
2008 3 ft Digital Elevation Model of Clarksburg, Maryland

This is a 3 ft resolution digital elevation model derived from light detection and ranging (lidar). Lidar was collected in 2008 and coverage includes a portion of Clarksburg, Maryland, focused around the Clarksburg Special Protection Area (CSPA).

Tags: clarksburg, clarksburg-special-protection-area, dem, digital-elevation-models, elevation, land-use-change, lidar, maryland, montgomery-county, topography, usgs-614ddb4bd34e0df5fb989f6f
Organization: Department of the Interior
2002 3 ft Digital Elevation Model of Clarksburg, Maryland

This is a 3 ft resolution digital elevation model derived from light detection and ranging (lidar). Lidar was collected in 2002 and coverage includes a portion of Clarksburg, Maryland, focused around the Clarksburg Special Protection Area (CSPA).

Tags: clarksburg, clarksburg-special-protection-area, dem, digital-elevation-models, elevation, land-use-change, lidar, maryland, montgomery-county, topography, usgs-614ddb20d34e0df5fb989f6c
Organization: Department of the Interior
Water-Quality Data for Determination of Saline Groundwater in Selected Aquifers in Texas, 2021

The availability of groundwater-quality data for relatively deep wells (wells generally more than 300 feet deep) containing saline water (dissolved-solids concentrations greater than 2,000 milligrams per liter) is limited throughout the state of Texas. Water-quality samples are important for calibrating estimates of groundwater salinity derived from geophysical well logs. Water-quality data collected in 2021 from four wells completed in selected aquifers (Trinity, Carrizo-Wilcox, and Yegua-Jackson)  in Texas are included in this data release.

Tags: blanco-county, carrizo-wilcox-aquifer, dissolved-solids, gonzales-county, groundwater, groundwater-levels, major-ions, nutrients, saline-groundwater, salinity, trinity-aquifer, usgs-6140f0f4d34e1449c5d6015a, water-chemistry, water-properties, water-quality, yegua-jackson-aquifer
Organization: Department of the Interior
Intersects for the Florida west coast (FLwc) coastal region generated to calculate long-term shoreline change rates using the Digital Shoreline Analysis System version 5

During Hurricane Irma in September 2017, Florida and Georgia experienced significant impacts to beaches, dunes, barrier islands, and coral reefs.  Extensive erosion and coral losses result in increased immediate and long-term hazards to shorelines that include densely populated regions. These hazards put critical infrastructure at risk to future flooding and erosion and may cause economic losses. The USGS Coastal and Marine Hazards Resources Program (CMHRP) is assessing hurricane-induced coastal erosion along the southeast US coastline and implications for vulnerability to future storms.

Tags: atlantic-coast, cmgp, coastal-and-marine-geology-program, coastal-processes, digital-shoreline-analysis-system, dsas, environment, florida, georgia, geoscientificinformation, geospatial-datasets, gulf-coast, intersect-points, intersects, north-america, oceans, shoreline, shoreline-change, u-s-geological-survey, united-states, usgs, usgs-614a7cb8d34e0df5fb9756e8, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Riverscape snorkeling surveys of salmonid distribution and abundance before (2007, 2008) and after (2018, 2019) dam removal on the Elwha River, Washington

We used snorkel surveys in the Elwha River, conducted in consecutive years before (2007, 2008) and after (2018, 2019) dam removal to assess changes in fish distribution and density. In total, we counted 54,616 Chinook Salmon, Bull Trout, Steelhead, and trout (Rainbow Trout and Coastal Cutthroat Trout combined) in 22 common reaches spanning 65 river kilometers. The occupancy of juvenile Chinook Salmon, Coho Salmon, and trout was also assessed following dam removal.

Tags: biota, elwha-river, environment, fish, fishery-resources, inlandwaters, migratory-species, natural-resource-management, olympic-peninsula, remediation, salmon, trout, usgs-615c9c83d34e7b019242b88f, usgs-ema-low-sb-smc-native-species-restoration, usgs-ema-low-ss-dam-removal, washington
Organization: Department of the Interior
Field site locations of dendrometer deployment and seedling plots in a cloud-affected restoration site at Nakula, Maui, 2016-2019

Fog has been demonstrated to support plant growth, survival and ecosystem maintenance spanning rainfall and elevation gradients across the world. Persistent fog and strong winds on high mountain slopes in Hawaiʻi create a unique ecological environment.
We collected stem diameter measurements of three native plant species at Nakula Natural Area Reserve, Maui, from 2016-2019 and numerous environmental variables to examine how rain, fog, soil moisture, and associated variables influence plant water deficit and growth. We also collected seedling growth and survival data within plots where grass was removed, and control plots (no grass removal), to assess if and how grass removal influenced seedling growth and soil moisture.

Tags: maui, maui-county, nakula-natural-area-reserve, non-native-grass, restoration, usgs-612f1837d34e40dd9c099b87
Organization: Department of the Interior
Water-Quality Data and Geophysical Logs for Determination of Saline Groundwater in Selected Aquifers in Texas, 2021

The availability of groundwater-quality data along with geophysical information for relatively deep wells (wells generally more than 300 feet deep) containing saline water (dissolved-solids concentrations greater than 2,000 milligrams per liter)) is limited throughout the state of Texas. Water-quality samples are important for calibrating estimates of groundwater salinity derived from geophysical well logs. Water-quality samples and geophysical logs were collected from a total of 12 wells completed in selected aquifers (Trinity, Edwards-Trinity (Plateau), Carrizo-Wilcox, Sparta, and Yegua-Jackson) in Texas.

Tags: bandera-county, blanco-county, caliper, carrizo-wilcox-aquifer, dissolved-solids, edwards-trinity-aquifer, fluid-temperature, full-waveform-sonic, geophysical-logs, gonzales-county, groundwater, major-ions, milam-county, natural-gamma, nuclear-magnetic-resonance, nutrients, pecos-county, porosity, resistance, resistivity, rusk-county, salinity, self-potential, sparta-aquifer, texas, trinity-aquifer, usgs-613157fcd34e40dd9c0a6d8f, water-chemistry, water-properties, water-quality, water-resources, yegua-jackson-aquifer
Organization: Department of the Interior
Modeling impacts of drought-induced salinity intrusion on carbon fluxes and storage in tidal freshwater forested wetlands

A biogeochemistry model was developed to examine plant gross primary productivity (GPP), net primary productivity (NPP), plant respiration, soil respiration, soil organic carbon sequestration rate and storage under scenarios of drought and normal conditions at Tidal Freshwater Forested Wetlands (TFFW) sites along the Waccamaw River and Savannah River in the Southeastern United States.

Tags: chatham, coastal-wetlands, dry-year, effingham, georgetown, georgia, jasper, normal-year, savannah-national-wildlife-refuge, south-carolina, united-states, usgs-6165a07cd34e52f49c8231f4, waccamaw-national-wildlife-refuge, wetland-ecosystems
Organization: Department of the Interior
Dodonaea viscosa seedling survival data within a cloud-affected restoration site at Nakula, Maui, 2016-2018

Non-native grass removal as part of a larger restoration strategy has been demonstrated to assist in natural recruitment of important native plant species on the island of Maui. We monitored 90 Dodonaea viscosa seedlings across three sites within grass removal treatments to understand seedling survivorship, and whether non-native grass regrowth affected survivorship, in the Nakula Natural Area Reserve on Maui Island.

Tags: maui, maui-county, nakula-natural-area-reserve, non-native-grass, seedling-survival, usgs-612f1776d34e40dd9c099b83
Organization: Department of the Interior
5-meter Digital elevation model (DEM) of beach topography and near-shore bathymetry of Lake Superior at the Duluth Entry, Duluth, MN, September 2020

This dataset is a digital elevation model (DEM) of the beach topography and near-shore bathymetry of Lake Superior at the Duluth Entry, Duluth, Minnesota. The DEM has a 5-meter (m; 16.404 feet) cell size and was created from a LAS dataset of terrestrial light detection and ranging (lidar) data representing the beach topography, and multibeam sonar data representing the bathymetry. The survey area extends approximately 0.85 kilometers (0.5 miles) offshore, for an approximately 1.87 square kilometer surveyed area. Lidar data were collected September 23, 2020 using a boat mounted Velodyne unit. Multibeam sonar data were collected September 22-23, 2020 using a Norbit integrated wide band multibeam system compact (iWBMSc) sonar unit. Methodology similar to Wagner, D.M., Lund, J.W., and Sanks, K.M., 2020 was used.

Tags: bathymetry, bathymetry-and-elevation, digital-elevation-models, duluth, elevation, great-lakes, inlandwaters, lake-superior, lidar, limnology, southwestern-lake-superior, usgs-6137afaad34e40dd9c0cdb81
Organization: Department of the Interior
1-meter Digital elevation model (DEM) of beach topography of Lake Superior at the Duluth Entry, Duluth, MN, September 2020

This dataset is a digital elevation model (DEM) of the beach topography of Lake Superior at the Duluth Entry, Duluth, Minnesota. The DEM  has a 1-meter (m; 3.28084 feet) cell size and was created from a LAS dataset of terrestrial light detection and ranging (lidar) data representing the beach topography. Lidar data were collected September 23, 2020 using a boat mounted Velodyne unit. Multibeam sonar data were collected September 22-23, 2020 using a Norbit integrated wide band multibeam system compact (iWBMSc) sonar unit. Methodology similar to Wagner, D.M., Lund, J.W., and Sanks, K.M., 2020 was used.

Tags: bathymetry, bathymetry-and-elevation, digital-elevation-models, duluth, elevation, great-lakes, inlandwaters, lake-superior, lidar, limnology, southwestern-lake-superior, usgs-6137b0d0d34e40dd9c0cdb84
Organization: Department of the Interior
Survey area of beach topography and near-shore bathymetry of Lake Superior at the Duluth Entry, Duluth, MN, September 2020

This dataset represents the survey footprint  of the beach topography and near-shore bathymetry of Lake Superior at the Duluth Entry, Duluth, Minnesota. The survey area extends approximately 0.85 kilometers (0.5 miles) offshore, for an approximately 1.87 square kilometer surveyed area. Lidar and multibeam data were collected September 22-23, 2020.

Tags: bathymetry, bathymetry-and-elevation, digital-elevation-models, duluth, elevation, great-lakes, inlandwaters, lake-superior, lidar, limnology, southwestern-lake-superior, usgs-6137b7d4d34e40dd9c0cdba2
Organization: Department of the Interior
Dodonaea viscosa seedling count data within a cloud-affected restoration site at Nakula, Maui, 2016-2018

Non-native grass removal as part of a larger restoration strategy has been demonstrated to assist in natural recruitment of important native plant species on the island of Maui. Seedling size class data were collected to assess whether there were differences in Dodonaea viscosa seedling recruitment and survival between grass-control plots and those dominated by non-native grass in the Nakula Natural Area Reserve on Maui Island, and between grass-controlled sites.

Tags: maui, maui-county, nakula-natural-area-reserve, non-native-grass, seedling-recruitment, seedling-survival, usgs-612f164bd34e40dd9c099b7f
Organization: Department of the Interior
LAS dataset of lidar and multibeam data collected at Lake Superior at the Duluth Entry, Duluth, MN, September 2020

This dataset is a LAS dataset containing light detection and ranging (lidar) data and multibeam sonar data representing the beach and near-shore topography of Lake Superior at the Duluth entry, Duluth, Minnesota. The LAS dataset was used to create a digital elevation model (DEM) of the approximately 1.87 square kilometer surveyed area. Lidar data were collected September 23, 2020 using a boat mounted Velodyne unit. Multibeam sonar data were collected September 22-23, 2020 using a Norbit integrated wide band multibeam system compact (iWBMSc) sonar unit. Methodology similar to Wagner, D.M., Lund, J.W., and Sanks, K.M., 2020 was used.

Tags: bathymetry, bathymetry-and-elevation, digital-elevation-models, duluth, elevation, great-lakes, inlandwaters, lake-superior, lidar, limnology, southwestern-lake-superior, usgs-6137b9a8d34e40dd9c0cdbab
Organization: Department of the Interior
Datasets documenting lineament mapping and neotectonic observations in northern New Mexico

These datasets provide remotely mapped lineaments and neotectonic observations in northern New Mexico, based on 1-m lidar and satellite imagery data. Some lineaments are interpreted to be Quaternary-active faults, whereas others are interpreted to be older bedrock faults with no evidence for Quaternary movement. Simplified fault traces for interpreted Quaternary-active faults are provided for seismic hazard studies.

Tags: active-faulting, biota, colorado-plateau, new-mexico, rio-grande-rift, seismic-hazard, usgs-6137bcf5d34e40dd9c0cdc4b
Organization: Department of the Interior
Channel characteristics of the Upper White River at 20 locations in Western Colorado, 2018-2021

Data are presented in support of USGS Scientific Investigations Report, "Investigation of factors controlling benthic algae in the Upper White River watershed, Colorado, 2018-21". This dataset contains cross section, pebble count, and velocity data for the White River upstream of Meeker, Colorado; collected during 2018, 2019, and 2020.

Tags: algae, benthic, biota, colorado, meeker, usgs-615b06fbd34e0df5fba0ae09, white-river
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2018 Site 0226 land-water classification data

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring efforts to determine the efficacy of these efforts. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 398 sites that encompass the range of hydrological and ecological conditions for each stratum. As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites. A DOQQ is a raster image in which displacement in the image caused by sensor orientation and terrain relief has been removed and combines the image characteristics of a photo with geometric qualities of a map. The DOQQs generated for this project consist of 2018 Color Infrared (CIR) Digital Imagery. These images were classified into land and water categories using a threshold of the near infrared (NIR) band, followed by supervised and unsupervised classification.  Initial classification results are then reviewed by multiple image analysts to identify and manually recode errors. The final land-water classifications are intended to serve as both geographic and quantitative assessments of landscape composition on the date of acquisition. Four previous assessments have been conducted (2005, 2008, 2012, and 2015/2016). Once the program creates enough data points for statistical analyses, these data will be used for land area change rate calculation.

Tags: alteration-of-wetland-habitats, cartography, coastal, coastal-louisiana, crms, doqq, emergent-wetland, forested-wetland, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, scrub-shrub-wetland, state-of-louisiana, usgs-611d2a77d34e40dd9c0128fd, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2018 Site 0225 land-water classification data

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring efforts to determine the efficacy of these efforts. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 398 sites that encompass the range of hydrological and ecological conditions for each stratum. As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites. A DOQQ is a raster image in which displacement in the image caused by sensor orientation and terrain relief has been removed and combines the image characteristics of a photo with geometric qualities of a map. The DOQQs generated for this project consist of 2018 Color Infrared (CIR) Digital Imagery. These images were classified into land and water categories using a threshold of the near infrared (NIR) band, followed by supervised and unsupervised classification.  Initial classification results are then reviewed by multiple image analysts to identify and manually recode errors. The final land-water classifications are intended to serve as both geographic and quantitative assessments of landscape composition on the date of acquisition. Four previous assessments have been conducted (2005, 2008, 2012, and 2015/2016). Once the program creates enough data points for statistical analyses, these data will be used for land area change rate calculation.

Tags: alteration-of-wetland-habitats, cartography, coastal, coastal-louisiana, crms, doqq, emergent-wetland, forested-wetland, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, scrub-shrub-wetland, state-of-louisiana, usgs-611d2a74d34e40dd9c0128fb, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2018 Site 0220 land-water classification data

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring efforts to determine the efficacy of these efforts. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 398 sites that encompass the range of hydrological and ecological conditions for each stratum. As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites. A DOQQ is a raster image in which displacement in the image caused by sensor orientation and terrain relief has been removed and combines the image characteristics of a photo with geometric qualities of a map. The DOQQs generated for this project consist of 2018 Color Infrared (CIR) Digital Imagery. These images were classified into land and water categories using a threshold of the near infrared (NIR) band, followed by supervised and unsupervised classification.  Initial classification results are then reviewed by multiple image analysts to identify and manually recode errors. The final land-water classifications are intended to serve as both geographic and quantitative assessments of landscape composition on the date of acquisition. Four previous assessments have been conducted (2005, 2008, 2012, and 2015/2016). Once the program creates enough data points for statistical analyses, these data will be used for land area change rate calculation.

Tags: alteration-of-wetland-habitats, cartography, coastal, coastal-louisiana, crms, doqq, emergent-wetland, forested-wetland, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, scrub-shrub-wetland, state-of-louisiana, usgs-611d2a6ed34e40dd9c0128f7, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior