AndreaBozzo/ceres-open-data-index huggingface dataset:
Silverado California Thermoluminescence Data

This dataset represents thermoluminescence (TL) data that was obtained after a series of experiments to investigate how TL techniques can indicate the depth of soil heating. This project was attempted to ultimately predict changes in erosion properties in burned areas subject to debris flow hazards. The soil samples were obtained from an area burned by the Silverado wildfire (September 12 to 20, 2014). The dataset includes 3 soil samples and 1 control sample. The three burned soil samples were obtained throughout the burned watershed, and the control sample was taken in an unburned area. These will be referred to as sample 3, sample 7, sample 10, and control 1. All soil was obtained on April 23, 2015. The sample cores were slotted into 2-cm partitions up to a maximum depth of 14 cm in order to allow laboratory subsampling of the core in depth increments. For each sample, the tube had 7 subsections and we extracted at least 4 replicates for each subsection. For example, Sample 10-1a is the first replicate for the first subsample, and 10-1b is the second replicate for the first subsample. Using the silt fraction in each of the seven 2-cm segments, we performed several laboratory experiments. The files attached are thermoluminescence data from the Risø TL/OSL Reader (model TL/OSL–DA–20). Each file has 3 columns, where column 1 represents an ID, column 2 represents a heat applied by the TL/OSL Reader, and column 3 represents the TL counts. The file names connote the sample, soil depth, subsample, and irradiation (yes/no) using the following naming convention: SampleNumber-Depth_Temperature(IRRADIATED if the sample was irradiated)SubsampleLetter.txt.

Tags: burned-watershed, earth-science, geologic-hazards-science-center, ghsc, landslide-hazard, landslide-hazards-program, lhp, riso-tl-osl-reader, silverado-wildfire, soil-heating, thermoluminescence, usgs, usgs-58ed2d26e4b0b4d95d3354a6, wildfire, wildfire-hazard
Organization: Department of the Interior
Reproductive strategy, spawning induction, spawning temperatures and early life history of captive sicklefin chub Macrhybopsis meeki-Data

Macrhybopsis reproduction and propagule traits were studied in the laboratory using two temperature regimes and three hormone treatments and which methods produced the most spawns. Only sicklefin chub (M. meeki) spawned successfully although sturgeon chub (M. gelida) released unfertilized eggs. All temperature and hormone treatments produced M. meeki spawns, but two treatments had similar success rates at 44 and 43%, consisting of a constant daily temperature with no hormone added, or daily temperature fluctuations with hormone added to the water. Spawns consisted of multiple successful demersal circular swimming spawning embraces interspersed with circular swims without embraces. The most spawns observed for one female was four and on average, 327 eggs were collected after each spawn. The water-hardened eggs were semibuoyant and nonadhesive, the first confirmation of this type of reproductive guild in the Missouri River Macrhybopsis sp. From spawn, larvae swam vertically until 123 accumulated thermal units (ATU) and 167 ATU for consumption of first food. Using average water velocity and laboratory development time, the predicted drift distance for eggs and larvae could be 468 to 592 km in the Lower Missouri River. Results from this study determined the reproductive biology and early life history of Macrhybopsis spp. and provided insight into their population dynamics in the Missouri River.

Tags: batch-spawning, captive-spawning, columbia-environmental-research-center, environmental-health, fecundity, lithopelagophil, lower-missouri-river, missouri, missouri-river, usgs-58ecd769e4b0b4d95d3352c8
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2015 land-water classifications

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 390 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 2015 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. Three previous assessments have been conducted (2005, 2008, and 2012). Once the program creates enough data points for statistical analyses, these data will be used for land area change rate calculation.

Tags: cartography, coastal, crms, doqq, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, state-of-louisiana, usgs-58ebb4f2e4b0b4d95d3200b7, wetland
Organization: Department of the Interior
6-m resolution image of shaded relief multibeam bathymetry in western Massachusetts Bay map Quadrangle 2, pseudo-colored by backscatter intensity (Q2_BACKPC.TIF)

The U.S. Geological Survey has conducted geologic mapping to characterize the sea floor offshore of Massachusetts.  The mapping was carried out using a Simrad Subsea EM 1000 Multibeam Echo Sounder on the Frederick G. Creed on four cruises conducted between 1994 and 1998.  The mapping was conducted in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and with support from the Canadian Hydrographic Service and the University of New Brunswick.
The long-term goal of this mapping effort is to produce high-resolution geologic maps and a Geographic Information System (GIS) project that presents images and grids of bathymetry, shaded relief bathymetry, and backscatter intensity data from these surveys that will serve the needs of research, management and the public.

Tags: 6-m-resolution, backscatter-intensity, boston, cmgp, coastal-and-marine-geology-program, computational-methods, em-1000, frederick-g-creed, geospatial-datasets, geotiff, gulf-of-maine, image, imagerybasemapsearthcover, marine-geophysics, massachusetts, massachusetts-bay, multibeam, multibeam-sonar, mwra, mwra-ocean-outfall, north-atlantic-ocean, oceans, pseudo-colored-backscatter-intensity, sea-floor, sea-floor-characteristics, sea-floor-mapping, simrad, stellwagen-basin, u-s-geological-survey, united-states, usgs, usgs-58eb1f69-6e86-4d4b-b0cf-0f4d128e5e7e, usgs-map-i-2732, western-massachusetts-bay, western-massachusetts-bay-map-quadrangle-2, whsc, woods-hole-science-center
Organization: Department of the Interior
Grain-size distribution from foreshore and beach samples collected in 2009 in the vicinity of Wainwright, Alaska

Sediment grab samples were collected at 158 locations on the foreshore and beach in the vicinity of Wainwright, Alaska, in October of 2009. Two of the grab samples were sieved and analyzed for grain size distributions. The grain-size distribution of the remaining samples was determined from referenced photographs of collected samples taken in the lab following the method of Barnard and others (2007) using two-dimensional spectral decomposition of sediment images (Buscombe and others, 2010). Results of sieved samples were used to verify mean grain size values obtained with the image processing algorithm. Data are available in a single csv file.

Tags: beach, chukchi-sea, cmhrp, coastal-and-marine-hazards-and-resources-program, distributions, field-observation, geoscientificinformation, geospatial-datasets, grab-sampling, grain-size-analysis, pacific-coastal-and-marine-science-center, pcmsc, sediment, shore, state-of-alaska, substrate, u-s-geological-survey, usgs, usgs-58e8b7b8-bf51-4315-9db3-86646c92bc8c, wainwright
Organization: Department of the Interior
Data release for microplastics in water, sediment, fish, and mussels in the St. Croix National Scenic Riverway and Mississippi National River and Recreation Area, Wisconsin and Minnesota, 2015

This dataset describes the concentration and morphology of microplastics in the St. Croix National Scenic Riverway and Mississippi National River and Recreation Area, Wisconsin and Minnesota. Samples were collected during baseflow conditions at eight locations during the week of August 3-7, 2015. Four types of samples were collected: water surface, streambed sediment, smallmouth bass (Micropterus dolomieu), and threeridge mussels (Amblema plicata). Water surface samples were collected at all eight sites; other sample types were collected at only a subset of sites.

Tags: fish, invertebrates, microplastics, minnesota, mississippi-headwaters, namekagon-river, nonpoint-source-pollution, river-systems, saint-croix-river, surface-water-quality, unconsolidated-deposits, united-states, usgs-58e7d00ae4b09da6799c0f8a, wisconsin
Organization: Department of the Interior
CoSMoS (Coastal Storm Modeling System) Southern California v3.0 Phase 2 flood-hazard projections: average conditions 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-58e7b78be4b09da6799c0eb7, 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: 20-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-58e7b6ade4b09da6799c0e95, 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: 100-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-58e7b61ae4b09da6799c0e8e, 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: average conditions 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-58e7b492e4b09da6799c0e7c, 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: 20-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-58e6c08ee4b09da6799ac960, ventura-county, water-depth, waves, wind
Organization: Department of the Interior
Geodatabase containing bathymetric and LiDAR data for Norfork Lake, Arkansas-Missouri, 2015.

A bathymetric survey of Norfork Lake, Arkansas-Missouri, was conducted in September-October, 2015, by the Lower Mississippi-Gulf Water Science Center of the U.S. Geological Survey (USGS) using methodologies for multi-beam sonar surveys similar to those described by Lee (2013) and Huizinga (2016).  Point (XYZ) data from the bathymetric survey were merged with XYZ data collected during a March 2008 aerial LiDAR survey provided by the U.S. Army Corps of Engineers, Little Rock District and stored in a feature dataset within the geodatabase.  A terrain (digital terrain model, or DTM) was created from the XYZ data and stored in the geodatabase.  Products derived from the DTM and stored in the geodatabase include a digital elevation model (DEM), a feature class of elevation contours, a table of surface area and storage capacity (volume) of the lake, and a Python script used to incrementally compute the storage capacity.  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, dtm, geodatabase, lidar, limnology, multi-beam, sonar, terrain, usgs-58e6bf2fe4b09da6799ac953
Organization: Department of the Interior
CoSMoS (Coastal Storm Modeling System) Southern California v3.0 Phase 2 wave-hazard projections: 1-year storm in Ventura County

Model-derived significant wave height (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-58e67f93e4b09da6799ac83d, ventura-county, water-depth, waves, wind
Organization: Department of the Interior