AndreaBozzo/ceres-open-data-index huggingface dataset:
Digital terrain models of Spirit Lake blockage and Mount St. Helens debris avalanche, based on 1980-2018 airborne photogrammetry surveys

The lateral blast, debris avalanche, pyroclastic flows, and lahars of the May 18th, 1980, eruption of Mount St. Helens, Washington, dramatically altered the surrounding landscape. The debris avalanche and pyroclastic flows filled upper North Fork Toutle River valley and blocked the outlet of Spirit Lake. To mitigate the risk of a catastrophic breach, lake outflow was pumped over the blockage prior to rerouting through a 2.6-kilometer long tunnel completed in 1985 by the U.S. Army Corps of Engineers. However, periodic major repairs to the tunnel have caused responsible parties to reevaluate long-term lake outlet options. This dataset presents a time series of digital terrain models (DTM) of the Spirit Lake blockage and Mount St. Helens debris avalanche in upper North Fork Toutle River valley. Airborne photogrammetry surveys were conducted in 1980, 1981, 1982, 1984, 1985, 1996, 2015, and 2018. Structure-from-motion techniques were used to produce each DTM from each survey. This USGS data release contains digital elevation data as 1-meter resolution raster datasets (for example, dtm_YEAR.tif). These DTMs can be used to better understand sediment erosion, transport, and deposition across the blockage.

Tags: biota, cascade-range, cowlitz-county, dem, digital-elevation-model, digital-terrain-model, dtm, elevation-data, geomorphology, hydrology, loowit, mount-st-helens, north-fork-toutle-river, photogrammetry, sediment, sfm, spirit-lake, structure-from-motion, topography, toutle-river, usa, usgs-5cba0bf6e4b0c3b0066183d9, volcanic-landforms, volcano, wa, washington
Organization: Department of the Interior
Louisiana Barrier Island Comprehensive Monitoring Program – 2015 habitat map, West Chenier Region (ver. 1.1, May 2020)

The Barrier Island Comprehensive Monitoring (BICM) program was developed by Louisiana’s Coastal Protection and Restoration Authority (CPRA) and is implemented as a component of the System Wide Assessment and Monitoring Program (SWAMP). The program uses both historical data and contemporary data collections to assess and monitor changes in the aerial and subaqueous extent of islands, habitat types, sediment texture and geotechnical properties, environmental processes, and vegetation composition. Examples of BICM datasets include still and video aerial photography for documenting shoreline changes, shoreline positions, habitat mapping, land change analyses, light detection and ranging (lidar) surveys for topographic elevations, single-beam and swath bathymetry, and sediment grab samples. For more information about the BICM program, see Kindinger and others (2013).
The U.S. Geological Survey, Wetland and Aquatic Research Center provides support to the BICM program through the development of habitat map products using aerial imagery and lidar elevation data and assessing change in habitats over time. These data provide a snapshot of barrier island habitats and can be combined with other past and/or future maps to monitor these valuable natural resources over time. The current effort of this habitat mapping program includes developing habitat maps for 2008 and 2015-2016 for the following BICM regions: 1) West Chenier; 2) East Chenier; 3) Acadiana Bays (only Marsh Island); 4) Early Lafourche Delta; 5) Late Lafourche Delta; 6) Modern Delta (only Chaland Headland and Shell Island); and 7) Chandeleur Islands. Additionally, a habitat change analysis will be conducted comparing reaches mapped in 2008 and 2015-2016. The BICM program has developed two habitat classification schemes which include a detailed 15-class habitat scheme and a general eight-class habitat scheme. The detailed scheme was developed specifically for this habitat mapping effort and builds off the general scheme used in previous BICM habitat mapping efforts (Fearnley and others, 2009). The additional classes developed in the detailed scheme are primarily used to further delineate various dune habitats, separate marsh and mangrove, and distinguish between beach and unvegetated barrier flat habitats. To ensure comparability between this effort and previous BICM map products, we have crosswalked the detailed classes to general habitat classes previously used by Fearnley and others (2009).

Tags: barrier-islands, barrier-vegetation, beach, cameron-parish, coastal-wetlands, dune, environment, farming, gulf-of-mexico, habitat-map, louisiana, louisiana-coastal, mangrove, marsh, planningcadastre, remote-sensing, scrub-shrub, usgs-5cb5396ee4b0c3b00659d959, west-chenier-region
Organization: Department of the Interior
Transient Electromagnetics, Passive Seismic, and Borehole Electromagnetics, Gamma, and Nuclear Magnetic Resonance Methods to Characterize Glacial Sediments in East Falmouth, Massachusetts, Near Nantucket Sound

A pulsed magnetic resonance borehole tool was used to characterize hydraulic properties of the aquifer. Borehole nuclear magnetic resonance (bNMR) logs were collected to measure the water content and to estimate the pore-size distribution and hydraulic conductivity (K) over the depth of the borehole. The bNMR data were collected July 25-26, 2016, and were processed August 2016.

Tags: borehole-logging, east-falmouth, environment, geoscientificinformation, groundwater, massachusetts, nantucket-sound, nuclear-magnetic-resonance-nmr, usgs-5cb0d1dbe4b0c3b00657416c
Organization: Department of the Interior
Transient Electromagnetics, Passive Seismic, and Borehole Electromagnetics, Gamma, and Nuclear Magnetic Resonance Methods to Characterize Glacial Sediments in East Falmouth, Massachusetts, Near Nantucket Sound

spc

Tags: conductivity, east-falmouth, environment, geoscientificinformation, groundwater, massachusetts, nantucket-sound, usgs-5cb0d28ee4b0c3b006574175
Organization: Department of the Interior
Water-quality data for surface-water samples collected from October 2015 through September 2017 at the Triangle Area Water Supply Monitoring Project study sites, North Carolina

The dataset contains the environmental data collected for the Triangle Area Water Supply Monitoring Project.  The data are from the samples collected during routine and storm-runoff sampling events during October 2015 through September 2017.  Several study sites contained in this dataset were sampled for other USGS projects during the same time frame.  Unless the samples at these sites were collected in conjunction with the Triangle Area Water Supply Monitoring Project, the data for other projects at these sites are not included in this dataset.

Tags: biological-data, chatham-county, durham-county, major-ions-data, north-carolina, nutrient-data, orange-county, surface-water, total-organic-carbon-data, unfiltered-metals-data, usgs-5cb5d8b6e4b0c3b0065ba5f8, wake-county, water-quality
Organization: Department of the Interior
Continuous Resistivity Profiling (CRP) at Callahan Mine Site: May 2017 to July 2018

In May 2017 and July 2018, continuous resistivity profiling (CRP) surveys were collected in Goose Pond at the Callahan Mine site.  CRP methods were used to characterize the resistivity of the water column and subbottom layers. For this investigation, 11 electrodes spaced 10 m apart and mounted in a streamer were towed behind the boat.  The first two electrodes, closest to the boat, were used to inject current into the water and subbottom materials, and eight electrical potential measurements were made using the remaining nine electrodes in dipole-dipole configuration. With this system, a complete suite of measurements is collected every 2.8 seconds. Because the boat was moving at a slow rate of speed, a complete measurement is taken while the boat has moved about 3-5 m. In general, voltage measurements taken with larger electrode spacings extend deeper into the subsurface.  The exact depth and resistivity is determined through a process of inversion.  The raw CRP data are shared in this data release.

Tags: electrical-resistivity-imaging, geophysics, usgs-5cb7d1cee4b0c3b0065d816f
Organization: Department of the Interior
Airborne geophysical survey: Olympic Mountains, Washington

Aeromagnetic data were collected along flight lines by instruments in an
aircraft that recorded magnetic-field values and locations.  This dataset
presents latitude, longitude, altitude, and magnetic-field values.

Tags: aeromagnetic-data, aeromagnetic-surveying, airborne-surveys, f53009-clallam, f53027-grays-harbor, f53031-jefferson, f53045-mason, field-monitoring-stations, geophysical-surveys, geophysics, geospatial-datasets, magnetic, magnetic-field-earth, magnetic-surveys, olympic-mountains, olympic-mtns, residual-magnetic-field, total-field, united-states, usgs-5cb71233-7343-407d-a7be-e738633798b4, wa, washington
Organization: Department of the Interior
Geophysical Data Collected for an Assessment of a Proposed Landfill Site in Fredericktown, Missouri, June 2018

In June 2018, the U.S. Geological Survey (USGS) in cooperation with the U.S. Environmental Protection Agency (EPA) collected geophysical measurements to help evaluate the suitability of a proposed landfill site for disposing mine-waste materials in Fredericktown, Missouri. Geophysical methods were used to evaluate and characterize the unconsolidated sediment (i.e., regolith) above the crystalline bedrock as well as determine depth bedrock. Land-based geophysical methods included frequency domain electromagnetic induction (FDEM), electrical resistivity tomography (ERT), horizontal-to-vertical spectral ratio passive seismic (HVSR), and shear-wave seismic refraction. Water-borne methods included FDEM surveys to characterize the Fredericktown City Lake sediments as well as forward-looking infrared (FLIR) imagery taken along the City Lake shoreline to identify locations of potential groundwater-surface water interactions.

Tags: electrical-resistivity-imaging, electromagnetic-surveying, environment, forward-looking-infrared-imaging, geophysics, geoscientificinformation, groundwater, horizontal-to-vertical-spectral-ratio-hvsr-seismic, marine-geophysics, passive-seismic, resistivity, seismic-methods, shear-wave, shear-wave-velocity, soil-temperature, usgs-5cb75adfe4b0c3b0065d7c03, water-temperature
Organization: Department of the Interior
Low biomass microbiology samples collected from a hydraulically fractured well producing from the Niobrara Shale in Colorado

Low biomass waters provide a unique challenge in the field of microbial ecology. It is difficult to determine, when biomass concentrations are extremely low, whether or not the sequencing data received are of good quality and representative of the waters sampled. Fifty-nine samples including 8 blanks were collected from a low biomass hydraulically fractured well producing from the Niobrara Shale in Colorado. At least 4 samples were collected by filtering the exact volume for each listed here: 1000 mL, 900 mL, 800 mL, 700 mL, 600 mL, 500 mL, 400 mL, 300 mL, 200 mL, 100 mL, 0 mL (blanks).

Tags: 16s-rrna-sequencing, colorado, denver-julesburg-basin, field-sampling, illumina-miseq-platform, low-biomass, microbial-ecology, near-detection-limit-studies, oil-field-microbiology, usgs-5cb8cbcae4b0c3b0065f51cc, water-sampling
Organization: Department of the Interior
Microplastics in the water column and sediment in Milwaukee-Area streams, the Milwaukee Harbor, and Lake Michigan, 2016

This dataset describes the quantity, morphology, and polymer identity of microplastics in the water column and surficial sediments of Milwaukee-Area streams, the Milwaukee Harbor, and Lake Michigan (Wisconsin). Water samples were collected at 10 locations, 2-4 times each, from May to September, 2016. At the 4 shallowest locations, water was collected only at the water surface. At the remaining 6 locations, water was collected at the water surface and at 1-4 depths below the surface. Sediment samples were collected once, in June 2016, at a subset of 9 locations. Sampling and analysis methods are described in the Processing Steps section of the metadata.
These data are interpreted in the following journal article: Lenaker, P. L., Baldwin, A. K., Corsi, S. R., Mason, S. A., Reneau, P. C., &amp; Scott, J. W. (2019). Vertical Distribution of Microplastics in the Water Column and Surficial Sediment from the Milwaukee River Basin to Lake Michigan. Environmental Science &amp; Technology, 53(21), 12227–12237, https://doi.org/10.1021/acs.est.9b03850.

Tags: contamination-and-pollution, inlandwaters, lake-michigan, microplastics, milwaukee, runoff, surface-water-quality, usgs-5cb0d7bfe4b0c3b0065741b0, wisconsin
Organization: Department of the Interior
Geomorphometry for Streams and Floodplains in the Chesapeake and Delaware Watersheds

Geomorphometry for Streams and Floodplains in the Chesapeake and Delaware Watersheds was generated as part of the project Quantifying Floodplain Ecological Processes and Ecosystem Services in the Delaware River Watershed funded through the William Penn Foundation's Delaware Watershed Research fund. This dataset contains geomorphometry for streams and floodplains in the Chesapeake and Delaware River watersheds. Geomorphometry is a quantitative representation of landscape surface form (e.g., channel width and depth) obtained from digital elevation models (DEMs). This dataset contains geomorphometry derived from running 3-m DEMs through the Floodplain and Channel Evaluation Tool (FACET) version 0.1.0. FACET generates shapefiles and rasters of the stream network, cross sections, streambank point locations, floodplain extent, height above nearest drainage (HAND), and reach-scale summaries of bank height, channel width, floodplain width, and a suite of other metrics outlined in the data dictionary. These data were generated to aid in modeling the amount of sediment and nutrients trapped on floodplains or eroded from streambanks in the Chesapeake and Delaware River watersheds.

Files are organized into folders by hydrologic unit code (HUC) for subbasins within the Chesapeake and Delaware watersheds. Each folder contains the following files within the main folder and a sub folder called "post processing." 

XXXX folder, where XXXX is a 4-digit HUC:
Main [folder_name] files, where “folder name” is an 8- or 10-digit HUC: 
[folder_name]_bankpixels.tif 
[folder_name]_dem.tif 
[folder_name]_floodplain.tif 
[folder_name]_hand.tif 
[folder_name]_mask.shp 
[folder_name]_network.shp 
[folder_name]_network.tif 
[folder_name]_channel_xns.shp 

Post-processing folder files:
bankpoints_1D_metrics.shp 
bankpoints_1D_metrics_all_stats.dbf 
channel_floodplain_2D_metrics.shp 
channel_floodplain_2D_metrics_all_stats.dbf 
floodplain_xns_1D_metrics.shp 
floodplain_xns_1D_metrics_all_stats.dbf 

Each file and associated attributes are described in the data dictionary listed in the Attached Files section. Merged files spanning the entire study area are included within the Child Item page called Chesapeake and Delaware Basin Combined Files. The combined files include a shapefile with the stream network and the floodplain extent, as well as a post-processing table with select stream and floodplain metrics.

Tags: chesapeake-bay-watershed, delaware, delaware-river-basin, district-of-columbia, ecosystem-service, floodplain, geomorphology, geospatial, lidar, mapping, maryland, new-jersey, new-york, pennsylavania, remote-sensing, river, stream, streambank, usgs-5cae39c3e4b0c3b00654cf57, virginia, west-virginia
Organization: Department of the Interior
Local ecological niche models, genotype associations and environmental data for desert tortoises

These data include environmental covariates used to develop species distribution models for Gopherus agassizii and Gopherus morafkai, along with PCA-reduced environmental covariates used to explore local species-environment relationships within a subregion of the ectone between the two species. We also provide the genotype association used to test the mapped clusters of multiscale geographically weighted regression coefficients against models of (i) a geographically-based taxonomic designation these two sister species, and (ii) an environmental ecoregion designation. 
These data support the following publication:
Inman et al. 2019. Local niche differences predict genotype associations in sister taxa of desert tortoise. Diversity and Distributions. https://doi.org/10.1111/ddi.12927

Tags: animals, biota, conservation-genetics, desert-tortoise, deserts, ecological-niche, genetics, geospatial-analysis, habitats, multiscale-geographically-weighted-regression, north-america, species-distribution-modelling, usgs-5cb0e0e5e4b0c3b0065741e7, western-usa
Organization: Department of the Interior
Northern Nevada aspen (Populus tremuloides) data (2010-2011) (ver. 2.0, January 2024)

This dataset contains two phases of research. The first dataset includes several variables that were sampled across aspen stands in the Santa Rosa, Ruby, and Jarbidge mountain ranges (Great Basin, Northern Nevada, USA) in 2010 and 2011. Across 101 aspen sites, several plot-level attributes were collected (e.g. elevation, slope, aspen stand type). For each plot, data describing live trees (both those less than 7.5 cm diameter and those greater than/equal to 7.5 cm) are included, such as species, diameter, and age. The data set also includes information for dead trees greater than/equal to 7.5 cm diameter (e.g. species, location, diameter).
The second dataset includes tree ring measurements (for live trees greater than/equal to 7.5 cm diameter) and monthly climate data for a subset of sites (n = 20) that were included in the first phase. For this subset of 20 sites, we analyzed the relationship between tree ring width measurements and climate variables. The climate variables represent monthly total precipitation, average temperature, and climatic moisture index values by year for the period of record. 

Tags: atmospheric-and-climatic-processes, biota, climate-variability, dendrochronology, environment, fires, forest-ecosystems, great-basin, jarbidge-mountains, nevada, ruby-mountains, santa-rosa-mountains, succession-biological, tree-ring-analysis, usgs-5cbf8de5e4b09b8c0b700fb2, vegetation
Organization: Department of the Interior
Analytical results for blanks collected during surface-water sampling at the Triangle Area Supply Monitoring Project study sites, North Carolina, October 2015 through September 2017

The dataset contains the analytical results for quality-control samples collected during the surface-water sampling for the Triangle Area Water Supply Monitoring Project.  The data are equipment blanks, sampling-vehicle (ambient) blanks, and field blanks collected during October 2015 through September 2017.  Several study sites contained in this dataset were sampled for other USGS projects during the same time frame.  Unless the quality-control samples at these sites were collected in conjunction with the Triangle Area Water Supply Monitoring Project, the data for other projects are not included in the dataset.

Tags: biological-data, chatham-county, durham-county, major-ions-data, north-carolina, nutrient-data, orange-county, surface-water, total-organic-carbon-data, unfiltered-metals-data, usgs-5cb5d922e4b0c3b0065ba5fe, wake-county, water-quality
Organization: Department of the Interior
Analytical results for the environmental and replicate sample sets collected from October 2015 through September 2017 at the Triangle Area Water Supply Monitoring Project study sites, North Carolina

The dataset contains the analytical results for environmental and quality-control replicate sample sets and the computed relative percent differences (RPD) greater than 25 percent for the data collected during the surface-water sampling for the Triangle Area Water Supply Monitoring Project.  The data are from samples collected during October 2015 through September 2017.  Several study sites contained in this dataset were sampled for other USGS projects during the same time frame.  Unless the samples at these sites were collected in conjunction with the Triangle Area Water Supply Monitoring Project, the data for other projects are not included in the dataset.

Tags: biological-data, chatham-county, durham-county, major-ions-data, north-carolina, nutrient-data, orange-county, surface-water, total-organic-carbon-data, unfiltered-metals-data, usgs-5cb5d95ce4b0c3b0065ba601, wake-county, water-quality
Organization: Department of the Interior
Frequency Domain Electromagnetic (FDEM) Surveys Collected in Fredericktown, Missouri, June 2018

In June 2018, U.S. Geological Survey (USGS) in cooperation with the U.S. Environmental Protection Agency (EPA) collected geophysical measurements to help evaluate the suitability of a proposed landfill site for disposing mine-waste materials in Fredericktown, MO. Frequency domain electromagnetic (FDEM) induction data were collected along the edge of the water.  The antenna was placed on a plastic frame and held approximately 1 m above the water surface. The antenna was mounted on a raft that was towed behind a canoe. All unprocessed and processed data including the in-phase and quadrature components in parts per million, electrical conductivity (EC) in milliSiemens per meter (mS/m), and magnetic susceptibility in parts per thousand are served in this data release. In addition, the data were inverted to generate depth dependent estimates of conductivity along the profiles. An analysis of the depth of investigation indicated the FDEM reliably estimated conductivity values to depths of about 3 m below the water surface. These output data are also served in this data release.
All unprocessed and processed data including the in-phase and quadrature components in parts per million, electrical conductivity (EC) in milliSiemens per meter (mS/m), and magnetic susceptibility in parts per thousand are served in this data release. In addition, the data were inverted to generate depth-dependent estimates of conductivity along the profiles. An analysis of the depth of investigation indicated the FDEM reliably estimated conductivity values to depths of about 3 m below water surface. These output data are also served in this data release.

Tags: electromagnetic-surveying, environment, geophysics, geoscientificinformation, groundwater, resistivity, usgs-5cb77b28e4b0c3b0065d7d40
Organization: Department of the Interior