AndreaBozzo/ceres-open-data-index huggingface dataset:
CoSMoS (Coastal Storm Modeling System) Southern California v3.0 Phase 2 water-level projections: 1-year storm in Ventura County

Model-derived total water levels (in meters) for the given storm condition and sea-level rise (SLR) scenario.
The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. CoSMoS v3.0 for Southern California shows projections for future climate scenarios (sea-level rise and storms) to provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety, mitigate physical damages, and more effectively manage and allocate resources within complex coastal settings.
Model details and data sources are outlined in CoSMoS_3.0_Phase_2_Southern_California_Bight:_Summary_of_data_and_methods (available at https://www.sciencebase.gov/catalog/file/get/57f1d4f3e4b0bc0bebfee139?name=CoSMoS_SoCalv3_Phase2_summary_of_methods.pdf). Phase 2 data for Southern California include flood-hazard information for the coast from the border of Mexico to Pt. Conception. Several changes from Phase 1 projections are reflected in many areas; please read the Summary of methods and inspect output carefully.  Data are complete for the information presented.

Tags: beaches, california, climate-change, climatologymeteorologyatmosphere, coastal-erosion, erosion, extreme-weather, floods, hazards-planning, ocean-waves, ocean-winds, oceans, physical-habitats-and-geomorphology, sea-level-change, sea-level-rise, southern-california, southern-california-bight, storm-surge, storms, usgs-58e67f3ee4b09da6799ac835, ventura-county, water-depth, waves, wind
Organization: Department of the Interior
Stream Temperature Data in the Willow-Whitehorse watershed of SE Oregon, 2011-15

This dataset includes stream temperatures from a network of 100 data loggers that was installed throughout the Willow-Whitehorse watershed of SE Oregon in September 2014, as well as 10 additional sites that were installed in 2011 and 2012, before and after a 2012 fire that burned nearly the entire watershed. Data loggers were downloaded in August 2015. A spatial data layer contains the site locations and associated information about the sites, along with summary temperature information and a comparison to modeled stream temperatures (NorWeST).

Tags: gnis-id-1129010, gnis-id-1129139, harney-county, inlandwaters, malheur-county, oregon, stream-river, stream-temperature, trout-creek-mountains, usgs, usgs-58ee3139e4b0eed1ab8cf0e6, water-temperature, watershed, whitehorse-creek, willow-creek
Organization: Department of the Interior
CoSMoS (Coastal Storm Modeling System) Southern California v3.0 Phase 2 ocean-currents projections: 1-year storm in Ventura County

Model-derived ocean current velocities (in meters per second) for the given storm condition and sea-level rise (SLR) scenario.
The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. CoSMoS v3.0 for Southern California shows projections for future climate scenarios (sea-level rise and storms) to provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety, mitigate physical damages, and more effectively manage and allocate resources within complex coastal settings.
Model details and data sources are outlined in CoSMoS_3.0_Phase_2_Southern_California_Bight:_Summary_of_data_and_methods (available at https://www.sciencebase.gov/catalog/file/get/57f1d4f3e4b0bc0bebfee139?name=CoSMoS_SoCalv3_Phase2_summary_of_methods.pdf). Phase 2 data for Southern California include flood-hazard information for the coast from the border of Mexico to Pt. Conception. Several changes from Phase 1 projections are reflected in many areas; please read the Summary of methods and inspect output carefully.  Data are complete for the information presented.

Tags: beaches, california, climate-change, climatologymeteorologyatmosphere, coastal-erosion, erosion, extreme-weather, floods, hazards-planning, ocean-waves, ocean-winds, oceans, physical-habitats-and-geomorphology, sea-level-change, sea-level-rise, southern-california, southern-california-bight, storm-surge, storms, usgs-58e67d15e4b09da6799ac829, ventura-county, water-depth, waves, wind
Organization: Department of the Interior
CoSMoS (Coastal Storm Modeling System) Southern California v3.0 Phase 2 flood-hazard projections: 1-year storm in Ventura County

Geographic extent of projected coastal flooding, low-lying vulnerable areas, and maxium/minimum flood potential (flood uncertainty) associated with the sea-level rise and storm condition indicated.
The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. CoSMoS v3.0 for Southern California shows projections for future climate scenarios (sea-level rise and storms) to provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety, mitigate physical damages, and more effectively manage and allocate resources within complex coastal settings.
Model details and data sources are outlined in CoSMoS_3.0_Phase_2_Southern_California_Bight:_Summary_of_data_and_methods (available at https://www.sciencebase.gov/catalog/file/get/57f1d4f3e4b0bc0bebfee139?name=CoSMoS_SoCalv3_Phase2_summary_of_methods.pdf). Phase 2 data for Southern California include flood-hazard information for the coast from the border of Mexico to Pt. Conception. Several changes from Phase 1 projections are reflected in many areas; please read the Summary of methods and inspect output carefully.  Data are complete for the information presented.

Tags: beaches, california, climate-change, climatologymeteorologyatmosphere, coastal-erosion, erosion, extreme-weather, floods, hazards-planning, ocean-waves, ocean-winds, oceans, physical-habitats-and-geomorphology, sea-level-change, sea-level-rise, southern-california, southern-california-bight, storm-surge, storms, usgs-58e67cd2e4b09da6799ac824, ventura-county, water-depth, waves, wind
Organization: Department of the Interior
CoSMoS (Coastal Storm Modeling System) Southern California v3.0 Phase 2 flood-hazard depth and duration projections: 1-year storm in Ventura County

Maximum depth of flooding surface (in cm) in the region landward of the present day shoreline that is inundated for the storm condition and sea-level rise (SLR) scenario indicated. Note: Duration datasets may have occasional gaps in open-coast sections.
The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. CoSMoS v3.0 for Southern California shows projections for future climate scenarios (sea-level rise and storms) to provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety, mitigate physical damages, and more effectively manage and allocate resources within complex coastal settings.
Model details and data sources are outlined in CoSMoS_3.0_Phase_2_Southern_California_Bight:_Summary_of_data_and_methods (available at https://www.sciencebase.gov/catalog/file/get/57f1d4f3e4b0bc0bebfee139?name=CoSMoS_SoCalv3_Phase2_summary_of_methods.pdf). Phase 2 data for Southern California include flood-hazard information for the coast from the border of Mexico to Pt. Conception. Several changes from Phase 1 projections are reflected in many areas; please read the Summary of methods and inspect output carefully.  Data are complete for the information presented.

Tags: beaches, california, climate-change, climatologymeteorologyatmosphere, coastal-erosion, erosion, extreme-weather, floods, hazards-planning, ocean-waves, ocean-winds, oceans, physical-habitats-and-geomorphology, sea-level-change, sea-level-rise, southern-california, southern-california-bight, storm-surge, storms, usgs-58e6788fe4b09da6799ac814, ventura-county, water-depth, waves, wind
Organization: Department of the Interior
Digital elevation model (DEM) of Norfork Lake, Arkansas-Missouri, derived from 2015 terrain dataset.

The dataset is a digital elevation model (DEM) of the bathymetry of Norfork Lake, Arkansas-Missouri, below a pool elevation of 580 ft above the North American Vertical Datum of 1988 (NAVD88).  The DEM was derived from a terrain (digital terrain model, or DTM) created from a feature dataset of point (XYZ) data collected during an aerial LiDAR survey conducted in March, 2008, and a bathymetric survey conducted in September-October, 2015.  References:  Lee, 2013, Estimation of reservoir storage capacity using multibeam sonar and terrestrial LiDAR, Randy Poynter Lake, Rockdale County, Georgia, 2012: U.S. Geological Survey Scientific Investigations Map 3265, 1 sheet, https://pubs.usgs.gov/sim/3265/; Huizinga, 2016, Bathymetric and velocimetric surveys at highway bridges crossing the Missouri River near Kansas City, Missouri, June 2–4, 2015: U.S. Geological Survey Scientific Investigations Report 2016–5061, 93 p., http://dx.doi.org/10.3133/sir20165061.

Tags: bathymetry, dem, lidar, limnology, multi-beam, sonar, terrain, usgs-58e66ca2e4b09da6799ac7ef
Organization: Department of the Interior
Adirondack New York vegetation data, 2000-2015

This dataset contains field measurements of vegetation from the (1) Adirondack Sugar Maple Project (ASM), and (2) Buck Creek North and Buck Creek South Watersheds.  The ASM data, collected in 2009 in 20 Adirondack watersheds (2 or 3 0.10 ha plots per watershed), are comprised of general plot characteristics, tree species identification and diameter at breast height (DBH) for all trees greater than 10 cm DBH, canopy position and health ratings, common and scientific names, and species identification and counts for saplings and seedlings.  In Buck Creek North Tributary Watershed and Buck Creek South Tributary Watershed, near Inlet, New York, all trees greater than 5 cm DBH were identified in 15 circular plots (245 square meters) distributed within each watershed.  Measurements were made in 2000, 2005, 2010 and 2015.  In all plots, saplings less than 5 cm DBH and taller than 1 meter were also identified to species and counted in 2010 and 2015. Data are posted in EXCEL 2013 and comma-delimited CSV format. Site locations (latitude, longitude) are provided in a downloadable file and dynamic ArcGIS REST service at the USGS Sciencebase DOI link.

Tags: american-beech, northern-hardwood-forest, sapling-counts, seedling-counts, sugar-maple, tree-basal-area, tree-dbh, usgs-58e52c0de4b09da679997c78
Organization: Department of the Interior
Bad River near Odanah, Wisconsin, Bad River Reserevation Flood Map Files of July 2016

These polygon boundaries, inundation extents, and depth rasters were created to provide an extent of flood inundation along the Bad River within the community of Odanah, Wisconsin. The upstream and downstream reach extent is determined by the location of high-water marks, not extending the boundary far past the outermost high-water marks. In areas of uncertainty of flood extent, the model boundary is lined up with the flood inundation polygon extent. This boundary polygon was used to extract the final flood inundation polygon and depth layer from the flood water surface raster file. The upstream extent of the Bad River flood-inundation map starts about 150 ft downstream from Elm Hoist Road, at the Bad River near Odanah streamgage (USGS identification number 04027000). The downstream extent of the Bad River flood-inundation map is just north of U.S. Highway 2.

Tags: bad-river-reservation, boundary, extent, flood, flood-inundation-maps, flooded-area, geospatial-analysis, high-water-marks, odanah, river-stream, study-area, usgs-58e5075ae4b09da679997b0f, wisconsin
Organization: Department of the Interior
Datasets of High-throughput DNA Sequencing, Genetic Fingerprinting, and Quantitative PCR from Upper Klamath Lake, Oregon, 2013-14

Monitoring the community structure and metabolic activities of cyanobacterial blooms in Upper Klamath Lake, Oregon, is critical to lake management because these blooms degrade water quality and produce toxic microcystins that are harmful to humans, domestic animals, and wildlife. Genetic tools, such as DNA fingerprinting by terminal restriction fragment length polymorphism (T-RFLP) analysis, high-throughput DNA sequencing (HTS), and real-time, quantitative polymerase chain reaction (qPCR) provide more sensitive and rapid assessments of bloom ecology than traditional techniques. The objectives of this study were (1) to characterize the microbial community at one site in Upper Klamath Lake and determine changes in the cyanobacterial community through time using T-RFLP and HTS in comparison with traditional light microscopy; (2) to determine relative abundances and changes in abundance over time of toxigenic Microcystis using qPCR; and (3) to determine relative abundances and changes in abundance over time of Aphanizomenon, Microcystis, and total cyanobacteria using qPCR. T-RFLP analysis of total cyanobacteria showed a dominance of only one or two distinct genotypes in samples from 2013, but results of HTS in 2013 and 2014 showed more variations in the bloom cycle that fit with the previous understanding of bloom dynamics in Upper Klamath Lake and indicated that potentially toxigenic Microcystis was more prevalent in 2014 than in years prior. The qPCR-estimated copy numbers of all target genes were higher in 2014 than in 2013, when microcystin concentrations also were higher. Total Microcystis density was shown with qPCR to be a better predictor of late-season increases in microcystin concentrations than the relative proportions of potentially toxigenic cells. In addition, qPCR targeting Aphanizomenon at one site in Upper Klamath Lake indicated a moderate bloom of this species (corresponding to chlorophyll a concentrations between approximately 75 and 200 micrograms per liter) from mid-June to mid-August, 2014. After August 18, the Aphanizomenon bloom was overtaken by Microcystis late in the season as microcystin concentrations peaked. Overall, results of this study showed how DNA-based, genetic methods may provide rapid and sensitive diagnoses for the presence of toxigenic cyanobacteria and that they are useful for general monitoring or ecological studies and identification of cyanobacterial community members in complex aquatic habitats. These same methods can also be used to simultaneously address spatial (horizontal and vertical) and temporal variation under different conditions. Additionally, with some modifications, the same techniques can be applied to different sample types, including water, sediment, and tissue.

Tags: population-dynamics-algal-blooms-ecology-water-quality, usgs-58e4fd11e4b09da679997ad8
Organization: Department of the Interior
Wells and water-level altitude in the alluvium in the Lower Arkansas River Valley, Southeast Colorado, Spring and Fall 2002, 2008, and 2015

Points representing locations of wells in which water levels were measured, and values of water-level altitudes above the National Geodetic Vertical Datum of 1929 for June 1 to November 30 (hereafter defined as "fall") and December 1 to May 31 (hereafter defined as "spring"), 2002, 2008, and 2015 in the Lower Arkansas River Valley, Southeastern Colorado. Water-level values, John Martin Reservoir lake levels, and land surface altitudes at monitoring wells were gathered from the U.S. Geological Survey National Water Information System (NWIS) and the U.S. Army Corps of Engineers. All geoprocessing was done using ArcGIS Desktop v10 (Environmental Systems Research Institute, 2011).

Tags: alluvium, arkansas-river, bent-county, crowley-county, groundwater, groundwater-level, hydrogeology, otero-county, prowers-county, pueblo-county, usgs-58e3b415e4b09da67997ee01
Organization: Department of the Interior
Change in water-table altitude in the alluvium in the Lower Arkansas River Valley, Southeast Colorado, Spring 2008 to Spring 2015

Raster showing change in water-table altitude between Spring of 2008 and Spring of 2015 in the alluvium in the Lower Arkansas River Valley, Southeast Colorado. Hereafter "spring" is defined as the periods of January 1 to May 31, and December 1 to December 31. All interpolation and geoprocessing was done using ArcGIS Desktop v10 (Environmental Systems Research Institute, 2011).

Tags: alluvium, arkansas-river, bent-county, crowley-county, groundwater, groundwater-level, hydrogeology, otero-county, prowers-county, pueblo-county, surface-water-level, usgs-58e3b3ade4b09da67997edfc
Organization: Department of the Interior
Change in water-table altitude in the alluvium in the Lower Arkansas River Valley, Southeast Colorado, Spring 2002 to Spring 2015

Raster showing change in water-table altitude between Spring of 2002 and Spring of 2015 in the alluvium in the Lower Arkansas River Valley, Southeast Colorado. Hereafter "spring" is defined as the periods of January 1 to May 31, and December 1 to December 31. All interpolation and geoprocessing was done using ArcGIS Desktop v10 (Environmental Systems Research Institute, 2011).

Tags: alluvium, arkansas-river, bent-county, crowley-county, groundwater, groundwater-level, hydrogeology, otero-county, prowers-county, pueblo-county, surface-water-level, usgs-58e3b331e4b09da67997edf8
Organization: Department of the Interior
Change in water-table altitude in the alluvium in the Lower Arkansas River Valley, Southeast Colorado, Fall 2002 to Fall 2008

Raster showing change in water-table altitude between Fall of 2002 and Fall of 2008 in the alluvium in the Lower Arkansas River Valley, Southeast Colorado. Hereafter "fall" is defined as June 1 to November 30. All interpolation and geoprocessing was done using ArcGIS Desktop v10 (Environmental Systems Research Institute, 2011).

Tags: alluvium, arkansas-river, bent-county, crowley-county, groundwater, groundwater-level, hydrogeology, otero-county, prowers-county, pueblo-county, surface-water-level, usgs-58e3b024e4b09da67997ede1
Organization: Department of the Interior
Computer automated frog vocalization results from Picayune Strand State Forest, Florida 2011-2012

This dataset includes the results of a computer automated anuran vocalization recognition analysis of audio recordings made at Picayune Strand State Forest  in 2011 and 2012. The audio files were scanned for 11 species of frogs and toads using the commercially available software program Song Scope (ver. 4.1.3). All detections by the software are listed here along with a "result" field which indicates whether or not the computer detection was a true positive or a false positive.

Tags: biodiversity, collier-county, ecology, florida, picayune-strand, sound-recordings, usgs-58e3ab96e4b09da67997edb2, vocalization-methods
Organization: Department of the Interior
Saturated Thickness in the Alluvium of the Lower Arkansas Valley, Southeast Colorado, Spring 2015

Raster dataset showing saturated thickness (in feet) of the alluvium in the Lower Arkansas River Valley, Southeast Colorado, January 1 - May 31, 2015 and December 1 - 31, 2015 (hereafter defined as "spring"). Saturated thickness values based on water levels measured in the study area and median lake level at John Martin Reservoir during this time period. Surface interpolations for water-table altitude were done using Inverse Distance Weighting using coordinate and altitude data from "Wells and water-level altitude in the alluvium in the Lower Arkansas River Valley, Southeast Colorado, Spring and Fall 2002, 2008, and 2015" (see cross reference section in metadata), and surface interpolation of bedrock was done using Topo to Raster using elevation (20-ft contours) from "Bedrock contours underlying the alluvium of the Lower Arkansas River Valley, Southeast Colorado" (see cross reference section in metadata) in ArcGIS Desktop v10 (Environmental Systems Research Institute, 2011).

Tags: alluvium, arkansas-river, bent-county, crowley-county, groundwater-level, hydrogeology, otero-county, prowers-county, pueblo-county, usgs-58e2cc08e4b09da67996a9d5
Organization: Department of the Interior
Saturated Thickness in the Alluvium of the Lower Arkansas Valley, Southeast Colorado, Spring 2002

Raster dataset showing saturated thickness (in feet) of the alluvium in the Lower Arkansas River Valley, Southeast Colorado, January 1 - May 31, 2002 and December 1 - 31, 2002 (hereafter defined as "spring"). Saturated thickness values based on water levels measured in the study area and median lake level at John Martin Reservoir during this time period. Surface interpolations for water-table altitude were done using Inverse Distance Weighting using coordinate and altitude data from "Wells and water-level altitude in the alluvium in the Lower Arkansas River Valley, Southeast Colorado, Spring and Fall 2002, 2008, and 2015" (see cross reference section in metadata), and surface interpolation of bedrock was done using Topo to Raster using elevation (20-ft contours) from "Bedrock contours underlying the alluvium of the Lower Arkansas River Valley, Southeast Colorado" (see cross reference section in metadata) in ArcGIS Desktop v10 (Environmental Systems Research Institute, 2011).

Tags: alluvium, arkansas-river, bent-county, crowley-county, groundwater-level, hydrogeology, otero-county, prowers-county, pueblo-county, usgs-58e2c992e4b09da67996a9ca
Organization: Department of the Interior
Saturated Thickness in the Alluvium of the Lower Arkansas Valley, Southeast Colorado, Fall 2015

Raster dataset showing saturated thickness (in feet) of the alluvium in the Lower Arkansas River Valley, Southeast Colorado, June 1 - November 30, 2015 (hereafter defined as "fall"). Saturated thickness values based on water levels measured in the study area and median lake level at John Martin Reservoir during this time period. Surface interpolations for water-table altitude were done using Inverse Distance Weighting using coordinate and altitude data from "Wells and water-level altitude in the alluvium in the Lower Arkansas River Valley, Southeast Colorado, Spring and Fall 2002, 2008, and 2015" (see cross reference section in metadata), and surface interpolation of bedrock was done using Topo to Raster using elevation (20-ft contours) from "Bedrock contours underlying the alluvium of the Lower Arkansas River Valley, Southeast Colorado" (see cross reference section in metadata) in ArcGIS Desktop v10 (Environmental Systems Research Institute, 2011).

Tags: alluvium, arkansas-river, bent-county, crowley-county, groundwater-level, hydrogeology, otero-county, prowers-county, pueblo-county, usgs-58e2c92de4b09da67996a9c8
Organization: Department of the Interior