AndreaBozzo/ceres-open-data-index huggingface dataset:
Transportation Risk Assessment for Planning and Project Delivery (TRAPPD) Python Script Tool for Maine

Over 40,000 road crossings in Maine are maintained by Maine Department of Transportation (MaineDOT) managers, emergency managers, natural resource planners, and municipalities. Resource managers need a way to quickly and comprehensively assess, during the planning stages of potential transportation-related projects, how ecological, hydrologic, and structural characteristics of bridges and culverts and their watersheds could adversely affect project schedules and budgets.  Factors that are critical to evaluate and incorporate into overall assessments of project risk include basin, land-use, and climatic characteristics; vulnerability to specific events, such as floods; and complicating factors in the watershed, such as endangered species, evacuation routes, and historical sites. A Python script tool has been built for ArcGIS Pro as an automated screening tool that draws on existing geographic information system (GIS) data layers to identify potential risk factors and quantify risk scores for bridges and culverts. This tool can help resource managers quickly evaluate projects, during early planning, in terms of   variables that may adversely affect schedules or budgets.

Tags: esri-toolbox-file, partnerships, python-script, scientific-interpretation, scientific-software, transportation-risk, usgs-5bf82a99e4b045bfcae2eaa7
Organization: Department of the Interior
Chirp Seismic Shot points navigation collected by the U.S. Geological Survey offshore of the Grand Strand, South Carolina (CHIRP_SHT, Point)

In 1999, the USGS, in partnership with the South Carolina Sea Grant Consortium, began a study to investigate processes affecting shoreline change along the northern coast of South Carolina, focusing on the Grand Strand region. Previous work along the U.S. Atlantic coast shows that the structure and composition of older geologic strata located seaward of the coast heavily influences the coastal behavior of areas with limited sediment supply, such as the Grand Strand. By defining this geologic framework and identifying the transport pathways and sinks of sediment, geoscientists are developing conceptual models of the present-day physical processes shaping the South Carolina coast. The primary objectives of this research effort are: 1) to provide a regional synthesis of the shallow geologic framework underlying the coastal upland, shoreface and inner continental shelf, and define its role in coastal evolution and modern beach behavior; 2) to identify and model the physical processes affecting coastal ocean circulation and sediment transport, and to define their role in shaping the modern shoreline; and 3) to identify sediment sources and transport pathways; leading to construction of a regional sediment budget.

Tags: atlantic-ocean, chirp, cmgp, coastal-and-marine-geology-program, esri-point-shapefile, garden-city, geospatial-datasets, grand-strand, location, marine-geophysics, myrtle-beach, navigational-data, north-myrtle-beach, oceans, pawleys-island, seismic, seismic-navigation-tracklines, seismic-reflection, shots, south-carolina, southeast-united-states, surfside, transportation, u-s-geological-survey, united-states, usgs, usgs-5bf4fc1b-b23d-4668-9006-885396527886, waites-island, whsc, whsc-field-activity-serial-number-00014, whsc-field-activity-serial-number-01008, whsc-field-activity-serial-number-02011, whsc-field-activity-serial-number-02014, whsc-field-activity-serial-number-03009, whsc-field-activity-serial-number-99044, woods-hole-science-center
Organization: Department of the Interior
Multibeam echosounder surveys from the Kootenai River in northern Idaho, September 26-27, 2017

The U.S. Geological Survey (USGS) National Geospatial Program (NGP) and National Research Program (NRP) acquired hyperspectral image data from the Kootenai River near Bonners Ferry, ID. The image data extended from the Kootenai Tribal FishHatchery downstream to the Copeland bridge. Image data acquisition occurred on September 27, 2017. A field team collected ground truthing data within the project area to calibrate and validate estimates of water depth derived from the hyperspectral image data. Multibeam echosounder (MBES) bathymetric data were collected at 6 sites within the area encompassed by the hyperspectral image to obtain high-resolution bathymetric data.

Tags: ascii, bathymetry, bonners-ferry, capacity, elevation, geology, hypack, hysweep, id, idaho, inland-waters, islands, kootenai-river, lakes, lidar, multibeam-echo-sounder, river, swath-bathymetry, topography, u-s-geological-survey, usa, usgs, usgs-5bf48b5ae4b045bfcae2530f, water-depth, xyz
Organization: Department of the Interior
Hyperspectral image data from the Kootenai River in northern Idaho, September 27, 2017

To support research on remote sensing of rivers, specifically estimation of water depth from passive optical image data, hyperspectral image data and supporting depth measurements were collected on the Kootenai River in northern Idaho, September 27, 2017. This data release provides access to hyperspectral image acquired through this project and the supporting field-based measurements of depth and water column optical properties are available through related data releases.  The hyperspectral image data were acquired by Quantum Spatial Inc. (QSI) using the ITRES CASI 1500H imaging system deployed from a Cessna Caravan manned aircraft from a flying height of 1000 m above ground level. Initial geometric and radiometric data processing was performed by ITRES and yielded images with 0.5 m pixels for each of 48 spectral bands from 380-1050 nm. Although a large mosaic assembled from parallel, north-south strips covering a larger portion of the Kootenai River valley was collected as part of this project, this data release includes only a series of smaller subsets of this mosaic that focus on six sites where field measurements of water depth were collected with a multibeam echo sounder.  The original images also were spectrally subset to 35 bands from 400 - 900 nm.  The image data were radiometrically calibrated to spectral radiance units of μW cm-2 sr-1 nm-1 and formatted with 16-bit integers in a BIP intertleave. The resulting *.dat and assocaited *.hdr files are compatible with the ENVI software package.  Overall, the images and related field data were used to develop, refine, and test techniques for estimating water depth from passive optical image data to support studies of in-stream habitat and geomorphic change and to facilitate various river management applications.

Tags: bathymetry, bonners-ferry, depth, hyperspectral, idaho, kootenai-river, passive-optical-image-data, remote-sensing, river-channel, usgs-5bf48b00e4b045bfcae252d6
Organization: Department of the Interior
National Water Model V1.2 Retrospective and Operational Model Run Archive for Selected NWIS Gage Locations

This dataset contains modeled hourly streamflow at each about eighteen thousand selected operational and water quality stream gage locations. It was assembled from publicly available retrospective and operational V1.2 National Water Model outputs. The streamflow variable was extracted from model output files and the data were reshaped to optimize read performance. The stream gage locations were derived from several ongoing USGS projects using gages for evaluation of streamflow, water quality, and real-time monitoring however only National Water Model identifiers and NHDPlus catchment outlet locations are used to identify model results. Relationships between NWIS gages and National Water Model prediction locations were not reviewed for release at the time of publication of this data. Please contact the author for up to date information. All processing resources used for data reformatting and extraction can be found in this repository: https://code.usgs.gov/water/nwm_subset. This supporting code also contains Docker images that are capable of processing real-time National Water Model outputs into similar formats as are in this dataset and providing data services via the THREDDS Data Server. The retrospective is available in one NetCDF file. The operational model run archives are available in .tar.gz archives that contain daily Forecast Model Run Collection files. These data conform as much as possible to the NetCDF-CF Discrete Sampling Geometry conventions and are designed to be aggregated along the reference-time dimension allowing creation of a complete collection of forecast model runs with the THREDDS data server.
The retrospective data are available from public cloud data outlets (Such as: https://registry.opendata.aws/nwm-archive/) and the operational outputs were retrieved from an archive maintained at the NOAA National Water Center in Tuscaloosa, AL. Note that some data were missing from this archive, on 5-8-2018 for all operational outputs and 7-17-2017 for long range outputs. The operational model runs include analysis and assimilation, short range, medium range, and an ensemble of four long range model runs. More information on these data are available from the National Water Model v1.2 release notes here. http://www.nws.noaa.gov/os/notification/scn18-16national_water_model.htm. The contents of that html page have been archived with this dataset. The retrospective model run is available from: https://docs.opendata.aws/noaa-nwm-pds/readme.html. The precise data included here should match that exactly but was sourced from NOAA-OWP systems at the National Water Center prior to availability of data from Amazon Public Datasets.

Tags: forecast, prediction, streamflow, usgs-5c081d14e4b0815414d0346c
Organization: Department of the Interior
Data release for it matters when you measure it: using snow-cover Normalised Difference Vegetation Index (NDVI) to isolate post-fire conifer regeneration

Landsat Normalised Difference Vegetation Index (NDVI) is commonly used to monitor post-fire green-up; however, most studies do not distinguish new growth of conifer from deciduous or herbaceous species, despite potential consequences for local climate, carbon and wildlife. We found that dual season (growing and snow cover) NDVI improved our ability to distinguish conifer tree presence and density. We then examined the post-fire pattern (1984–2017) in Landsat NDVI for fires that occurred a minimum of 20 years ago (1986–1997). Points were classified into four categories depending on whether NDVI, 20 years post-fire, had returned to pre-fire values in only the growing season, only under snow cover, in both seasons or neither. We found that each category of points showed distinct patterns of NDVI change that could be used to characterise the average pre-fire and post-fire vegetation condition Of the points analysed, 43% showed a between-season disagreement if NDVI had returned to pre-fire values, suggesting that using dual-season NDVI can modify our interpretations of post-fire conditions. We also found an improved correlation between 5- and 20-year NDVI change under snow cover, potentially attributable to snow masking fast-growing herbaceous vegetation. This study suggests that snow-cover Landsat imagery can enhance characterisations of forest recovery following fire.

Tags: burned-area, colorado, idaho, landsat-5, landsat-7, landsat-8, montana, quickbird-2, revegetation, rocky-mountains, usgs-5bf45cc2e4b045bfcae1bfa5, utah, worldview-2, worldview-3, wyoming
Organization: Department of the Interior
Electromagnetic induction imaging (EMI) geophysical data collected in the Scott M. Matheson Wetlands Preserve Near Moab, Utah

The electrical conductivity of the earth is used to help infer lithological and pore fluid properties. Various geophysical methods can provide estimates of the distribution of below ground electrical conductivity, with each method having certain limitations.
This data release presents raw and processed results from land-based and water-based frequency domain electromagnetic induction imaging (EMI) data collected from March 31 to April 2, 2015. Data were primarily collected by walking throughout the wetland and riparian zones with the GEM-2 instrument (Geophex, Ltd.) at approximately 1 m off the ground in horizontal coplanar (ski flat) mode.  
A survey along a section of the Colorado River in a kayak was also collected (with approximate 0.3 m of elevation above the water surface).

Tags: electromagnetic-surveying, environment, geophysics, geoscientificinformation, groundwater, hydrogeology, hydrology, inlandwaters, moab, scott-m-matheson-wetlands-preserve, surface-water, usgs-5bf45498e4b045bfcae1a079, utah
Organization: Department of the Interior
Electrical geophysical data collected in the Scott M. Matheson Wetlands Preserve Near Moab, Utah

Quantitative evaluation of groundwater/surface water exchange dynamics is universally challenging in large river systems, because existing physical methodology often does not yield spatially-distributed data and is difficult to utilize in deeper water. 
Here we apply combined frequency domain electromagnetic induction (EMI) and direct contact vertical electrical sounding (VES) measurements to identify shallow, fresh groundwater discharge estimates to the Colorado River through a 4 km2 wetland that borders the town of Moab, Utah, USA. 
EMI data were collected by a mobile tool that was hand carried or floated on the back of a kayak, providing extensive spatial coverage for the upper approximate 5 m of river channel/sediments. The VES measurements are made by installing electrodes directly into the ground around a common 
point and are therefore much less-mobile than the EMI approach, but can yield information about deeper (e.g., up to 25 m) saturated sediment electrical conductivity transitions. This data release contains (2) child items, one that contains and describes the EMI data, and another that contains and describes the VES data.

Tags: electrical-resistivity-imaging, electromagnetic-surveying, environment, geophysics, geoscientificinformation, groundwater, hydrogeology, hydrology, inlandwaters, moab, scott-m-matheson-wetlands-preserve, surface-water, thermal, usgs-5bf438bfe4b045bfcae148dc, utah
Organization: Department of the Interior
Study of Off- Channel Waterbodies in the Middle Mississippi River

Backwaters and other floodplain waterbodies are rare within the Middle Mississippi River. The lack of these habitats likely influences water quality, nutrient processing, and communities of organisms. In early 2016 a major flood event breached two levees south of Cape Girardeau, MO resulting in the creation of two new backwaters. Water quality, metabolic rate, and fish community data were collected from the new backwaters as well as an isolated floodplain lake.

Tags: biota, fisheries, floodplain, mississippi-river, usgs-5bf42c29e4b045bfcae120d3, water-qaulity, water-quality
Organization: Department of the Interior
Post-wildfire debris-flow monitoring data, Las Lomas, 2016 Fish Fire, Los Angeles County, California, November 2016 to February 2017

This data release includes time-series data from a monitoring site located in a small (0.12 km2) drainage basin in the Las Lomas watershed in Los Angeles County, CA, USA. The site was established after the 2016 Fish Fire and recorded a series debris flows in the first winter after the fire. The station is located along the channel at the outlet of the study area (34 9’18.50”N, 117 56’41.33”W, WGS84). The data were collected between November 15, 2016 and February 23, 2017. The data include two types of time series: (1) continuous 1-minute time series of rainfall and flow stage recorded by a laser distance meter suspended over the channel (LasLomasContinuous.csv), and (2) 50-Hz time series of flow stage and flow-induced ground vibrations recorded by two geophones (LasLomasStorm.csv). The continuous file contains brief data gaps when the station was serviced, at which time the record of cumulative rainfall was reset to zero. The ground vibrations were measured by two 4.5 Hz vertical axis geophones (Geospace SNG 11D/PC902/OPEN-30m) located approximately 2 m from the channel bank. One geophone was located 6.4 m upstream from the laser distance meter. The second geophone was located 7.6 m downstream of the geophone.  The geophone data is recorded in millivolts and the geophone constant is 32 Volts/(m/s). The equation for converting the laser distance measurements into flow stage above the bedrock in the channel is: Stage_laser (meters) = 4.320 meters – Distance_laser (millimeters) /1000. Time stamps are in Coordinated Universal Time (UTC). Details of this study are described in the journal article: Tang, H., McGuire, L.A., F.K. Rengers, Kean, J. W., Staley, D.M., and Smith, J.B. (2018), Evolution of debris flow initation mechanisms and sediment sources during a series of post-wildfire rainstorms, J. Geophys. Res., xxx, FYYYYY, doi:10.1029/2018JF004837.

Tags: debris-flow, drainage-basin, earth-science, fire, flow-induced-ground-vibration, flow-stage, geologic-hazards-science-center, geophysics, ghsc, landslide, landslide-hazard, landslides-hazards-program, las-lomas-watershed, los-angeles-county-ca-usavvvv, post-wildfire-rainstorms, rainfall, seismology, usgs, usgs-5bf40f68e4b045bfcae0def7, watershed, wildfire
Organization: Department of the Interior
Water-, Sediment-, and Biological-Quality Data for Waters Receiving Runoff from Five Bridges in South Carolina, 2013 to 2018

This dataset contains water-, sediment-, and biological-quality data collected immediately upstream and downstream from 5 bridges in 3 physiographic provinces (Piedmont, Upper Coastal Plain, and Lower Coast Plain) in South Carolina during periods of observable bridge-deck runoff during 2013 to 2018. The associated report (Journey and others, 2019, "Effects of Stormwater Runoff from Selected Bridge Decks on Water-, Sediment-, and Biological-Quality Conditions in Receiving Waters in South Carolina, 2013 to 2018") is available at [https://doi.org/10.5066/P9FXSV2Y].

Tags: benthic-data, biota, sediment-quality-data, south-carolina, united-states, usgs-5c07e182e4b0815414cf2fa5, water-quality-data
Organization: Department of the Interior
Soil thermal properties at recently burned and long-unburned boreal forest areas in interior Alaska, USA

This Data Release presents soil thermal properties of volumetric specific heat capacity and thermal conductivity for soil samples from six sites in interior Alaska USA. Volumetric specific heat capacity and thermal conductivity data were estimated using a dual needle heat pulse probe. Soil thermal property data were collected across the full spectrum of soil saturations from fully saturated to oven dry. These data are needed for numerical modeling of subsurface thermal conditions for modeling permafrost thaw and associated consequences for water availability in interior Alaska.

Tags: biota, boreal-forest-volumetric-specific-heat-capacity-thermal-conductivity, usgs-5bf32440e4b045bfcae0c37c
Organization: Department of the Interior
2015 environmental DNA surveys for lampreys in Chehalis River tributaries, Washington

Columns of data representing Chehalis River tributary, sample reach locations, dates of water sampling, quantitative PCR results, and whether lamprey were sampled by electrofishing in each sample reach.

Tags: biota, environmental-dna, lampreys, usgs-5bf2ec6de4b045bfcae0c11f
Organization: Department of the Interior
Batch sorption data, respired CO2, extractable DOC, and Raman spectra collected from an incubation with microbial necromass on feldspar or amorphous aluminum hydroxide

These datasets are from an incubation experiment with a combination of two minerals (feldspar or amorphous aluminum hydroxide), one living species of bacteria (Escherichia coli), and one added form of C (Arthrobacter crystallopoietes necromass).  We characterized the sorptive properties of the minerals with batch sorption experiments using four low molecular weight C substrates (glucose, oxalic acid, glutamic acid, p-hydroxybenzoic acid): this data is provided in the SterileSorptionData file.  We then conducted a 3-wk long incubation in serum vials or imaging chambers.  In both incubations, feldspar (200 mg) or amorphous aluminum hydroxide (100 mg) was given 1 of 4 different treatments: (1) a water control with autoclaved 18 MΩ water, (2) a microbial necromass control with autoclaved and 99% &lt;sup&gt;13&lt;/sup&gt;C enriched A. crystallopoietes necromass, (3) a E. coli control with living E. coli, or (4) a microbial necromass and E. coli incubation with both the autoclaved and 99% 13C enriched A. crystallopoietes necromass and living E. coli.  We measured the quantity and isotopic composition of respired CO2 through the incubation: this data is provided in the CO2data file.  Throughout the incubation we collected Raman spectra from incubations in imaging in order to quantity the 13C content of microbial biomass and changes in mineral-associated OC chemistry.  Microbial biomass 13C content predictions and processed Raman spectra across the phenylalanine regions used to create the predictions are provided in the AmAlOHBiomass and FeldBiomass files; the related processing steps are described under Data Quality: Process Step 4.  Processed Raman spectra used to examine changes in mineral-associated OC chemistry are provided in the RamanData file with the related processing steps described under Data Quality: Process Step 5. At the end of the incubation we extracted the minerals with water to remove DOC, this data is provided in the DOCData file.

Tags: biota, carbon-cycling, carbon-isotope-analysis, environment, mineralogy, raman-spectroscopy, sorption, usgs-5bef5105e4b045bfcadf7414
Organization: Department of the Interior
Data Release for The dependence of hydroclimate projections in snow-dominated regions of the western U.S. on the choice of statistically downscaled climate data

Climate change information simulated by global climate models is downscaled using statistical methods to translate spatially course regional projections to finer resolutions needed by researchers and managers to assess local climate impacts. Several statistical downscaling methods have been developed over the past fifteen years, resulting in multiple datasets derived by different methods. We apply a simple monthly water-balance model (MWBM) to demonstrate how the differences among these datasets result in disparate projections of snow loss and future changes in runoff. We apply the MWBM to six statistically downscaled datasets for 14 general circulation models (GCMs) from the Climate Model Intercomparison Program Phase 5 (CMIP5) for the RCP 8.5 emission scenario (1950 - 2099). 
The statistically downscaled datasets are as follows:
BCCA: Bias Corrected Constructed Analogs (Reclamation, 2013)
BCSD-C: Bias Corrected Spatial Disaggregation (Reclamation, 2013)
BCSD-F: Bias Corrected Spatial Disaggregation (Thrasher et al., 2013)
LOCA: Localized Constructed Analogs (Pierce et al., 2014)
MACA-L: Multivariate Adaptive Constructed Analogs (Abatzoglou &amp; Brown, 2012, bias corrected by Livneh et al., 2013)
MACA-M: Multivariate Adaptive Constructed Analogs (Abatzoglou &amp; Brown, 2012, bias corrected by METDATA, Abatzoglou, 2013)
Users interested in the downscaled temperature and precipitation files are referred to the dataset home pages:
BCCA, BCSD-C: http://gdo-dcp.ucllnl.org/downscaled_cmip_projections/dcpInterface.html
BCSD-F: https://cds.nccs.nasa.gov/nex/
LOCA: http://loca.ucsd.edu/
MACA-L, MACA-M: http://maca.northwestknowledge.net
The GCMs are the following:
bcc-csm1-1, CanESM2, CNRM-CM5, CSIRO-Mk3-6-0, GFDL-ESM2G, GFDL-ESM2M, inmcm4, IPSL-CM5A-LR, IPSL-CM5A-MR, MIROC-ESM, MIROC-ESM-CHEM, MIROC5, MRI-CGCM3, NorESM1-M

Tags: bcca, bcsd, contiguous-united-states, effects-of-climate-change, hydrologic-processes, loca, maca, numerical-modeling, runoff, snow-and-ice-cover, snow-water-equivalent, united-states, usgs-5bef0548e4b08f163c301d58
Organization: Department of the Interior