AndreaBozzo/ceres-open-data-index huggingface dataset:
Initial and Future Marsh Vegetation Conditions Under Three Sea-Level Rise Scenarios (Intermediate-Low, Intermediate, and Intermediate-High) from 2020 to 2100 in the Apalachicola-Big-Bend Region

Using the Hydro-MEM (Hydrodynamic-Marsh Equilibrium Model) (Alizad and others, 2016a; 2016b), the wetlands system within the Apalachicola-Big-Bend (ABB) region of Florida (FL) was assessed using initial and three sea-level rise (SLR) scenarios from the National Oceanic and Atmospheric Administration (NOAA) (Sweet and others, 2017). The initial (init) scenario represents the present conditions in the year 2020. The intermediate-low (int-low) scenario projects 50 centimeters (cm) of SLR by 2100, the intermediate (int) scenario projects 1 meter (m) of SLR by 2100, and the intermediate-high (int-high) scenario projects 1.5 m of SLR by 2100. Hydro-MEM input data includes elevation, tidal forcings, river inflow, and field-collected parameters and couples a hydrodynamic and biological model to capture feedback processes in the wetland system. The model incorporates a spatially-varying marsh parabola parametrization and considers SLR-induced salinity intrusion proxy in the system (Alizad and others, 2022b). This data release (Alizad and others, 2022a) includes the initial and future conditions under three SLR scenarios and model outputs of marsh vegetation type. For further information regarding model input generation and visualization of model output, refer to Alizad and others (2016a).

Tags: apalachicola, coastal-processes, ecological-processes, ecosystem-resilience, florida, geoscientificinformation, gulf-of-mexico, marsh-evolution, modeling, oceans, sea-level-change, spcmsc, st-petersburg-coastal-and-marine-science-center, u-s-geological-survey, usgs, usgs-2b54298b-17d6-444e-8faf-cc8e33af803a
Organization: Department of the Interior
Water-quality data for chloride, sulfate, total dissolved solids, total suspended solids for sites in Red River of the North basin, 1970-2017

This child page contains 34 csv files, site_qw_ions, which contain observations of chloride (cl), sulfate (sul), total dissolved solids (tds), or total suspended solids (tss) for each site. Each file includes date of observation, measured value of water-quality constituent, remark code for the measured value, and site name. Availability of observations of water-quality constituents depended upon collecting agency and varied by site and constituent.  Not all sites had observations for all constituents. The format of the csv file (date format and column headings) is designed to meet the specific requirements of file format for R–QWTREND. If csv files are opened directly in excel, the format of the data can change. To ensure the data are in the proper format for R–QWTREND, files should be opened in a text editor. The "site" in site_qw_ions can be cross-referenced to the main report by downloading the zipped folder RRTrend from child page, "Scripts to run R-QWTREND models and produce results" and navigating to the file siteinfo_appendix.txt.

Tags: datasets, manitoba, minnesota, north-dakota, red-river-of-the-north, salinity, surface-water-quality, suspended-material-water, usgs-5e580537e4b01d50924a949d
Organization: Department of the Interior
shoreline, inletLines: Shoreline polygons and tidal inlet delineations: Ship Shoal Island, VA, 2014

Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated into predictive models and the training data used to parameterize those models. This data release contains the extracted metrics of barrier island geomorphology and spatial data layers of habitat characteristics that are input to Bayesian networks for piping plover habitat availability and barrier island geomorphology. These datasets and models are being developed for sites along the northeastern coast of the United States. This work is one component of a larger research and management program that seeks to understand and sustain the ecological value, ecosystem services, and habitat suitability of beaches in the face of storm impacts, climate change, and sea-level rise.

Tags: atlantic-ocean, barrier-island, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-processes, delmarva-peninsula, geomorphology, geospatial-analysis, geospatial-datasets, north-america, oceans, ship-shoal-island, st-petersburg-coastal-and-marine-science-center, study-areas, u-s-geological-survey, united-states, usa, usgs, usgs-5daa37f6e4b09fd3b0c9cf0a, va, virginia, virginia-coast-reserve, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Coastal Uplands: Urbanization and Sea Level Rise Scenarios

Understanding how ecological and cultural resources may change in the future is an important component of conservation planning and for the implementation of long-term environmental monitoring. We modeled six future scenarios of urbanization and sea level rise to investigate their potential effects on the Peninsular Florida Landscape Conservation Cooperative's Priority Resources (PFLCC 2016), which were identified as important for conservation through a cooperative multi-partner effort to prioritize conservation efforts on a state-wide scale. These data represent conservation targets for the Coastal Uplands at present, and under six future scenarios of sea level rise and urbanization.

Tags: biota, cities, ecosystem-management, ecosystem-monitoring, effects-of-climate-change, environment, florida, land-use-change, natural-resource-management, north-america, sea-level-change, southeast-united-states, usgs-5ce4458ce4b0654fe0bce61f
Organization: Department of the Interior
GeoNatShapes: a natural feature reference dataset for mapping and AI training

These data were compiled for the use of training natural feature machine learning (GeoAI) detection and delineation. The natural feature classes include the Geographic Names Information System (GNIS) feature types Basins, Bays, Bends, Craters, Gaps, Guts, Islands, Lakes, Ridges and Valleys, and are an areal representation of those GNIS point features. Features were produced using heads-up digitizing from 2018 to 2019 by Dr. Sam Arundel's team at the U.S. Geological Survey, Center of Excellence for Geospatial Information Science, Rolla, Missouri, USA, and Dr. Wenwen Li's team in the School of Geographical Sciences at Arizona State University, Tempe, Arizona, USA.

Tags: alabama, alaska, american-samoa, arizona, arkansas, basin, bays, california, colorado, connecticut, craters, deep-learning, delaware, florida, geoai, geography, georgia, geoscientificinformation, geospatial-artificial-intelligence, geospatial-datasets, hawaii, idaho, illinois, imagerybasemapsearthcover, indiana, iowa, islands, kansas, kentucky, lakes, louisiana, maine, maryland, massachusetts, michigan, minnesota, mississippi, missouri, montana, natural-features, nebraska, nevada, new-hampshire, new-jersey, new-mexico, new-york, north-carolina, north-dakota, object-detection, ohio, oklahoma, oregon, pennsylvania, ridges, south-carolina, south-dakota, tennessee, texas, training-data, united-states-of-america, usgs-5ec6aad082ce476925eddbc6, utah, valleys, vermont, virginia, washington, west-virginia, wisconsin, wyoming
Organization: Department of the Interior
Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland P3 from 1978

Orthorectified image from aerial photograph of wetland P3 in the Cottonwood Lake Study Area, Stutsman County, North Dakota. This image is part of a collection of photographs of the study area acquired during July and early August from 1975 to 2015.

Tags: aerial-photography, chase-lake-wetland-management-districtgtstutsman-county-waterfowl-production-areagteddy, chase-lake-wetland-management-districtgtstutsman-county-waterfowl-production-areagtshuler, cottonwood-lake-study-area, earth-sciencegtbiospheregtecosystemsgtaquatic-ecosystemsgtwetlands, earth-sciencegtbiospheregtecosystemsgtterrestrial-ecosystemsgtwetlands, environment, image-collections, imagerybasemapsearthcover, inlandwaters, north-dakota, northern-great-plains, platformgtaerial-photographs, prairie-pothole-region, stutsman-county, surface-water-non-marine, united-states-of-america, usgs-586c0fd7e4b0f5ce109fa829, wetland-ecosystems
Organization: Department of the Interior
DS926 Digital surfaces and thicknesses of selected hydrogeologic units of the Floridan aquifer system in Florida and parts of Georgia, Alabama, and South Carolina -- Raster surface for transmissivity of the Upper Floridan aquifer

Digital surfaces and thicknesses of selected hydrogeologic units of the Floridan aquifer system 
were developed to define an updated hydrogeologic framework as part of the U.S. Geological 
Survey Groundwater Resources Program. This feature class contains a gridded surface 
depicting the transmissivity of the Upper Floridan aquifer in feet squared per day.The well 
site data, from the TransmissivityWells.shp shapefile, containing 1487 transmissivity 
estimates, in units of feet squared per day, were used to produce this raster grid. The 
Geostatistical analyst inverse-distance weighting interpolation tool was used on the 
log10T field with weights from the weight field. Transmissivity estimates using test type, 
single- and multi-well aquifer tests (APT) were given a weight of 1.0 and specific 
capacity (SPC), a weight of 0.5. The map shows the estimated transmissivity based 
on interpolation of aquifer tests at the 1487 locations in units of log base 10 square 
feet per day.

Tags: 2012, alabama, bellino, environment, florida, floridan-aquifer-system, geology, georgia, geoscientificinformation, hydrogeology, inlandwaters, kunanski, raster, regional-groundwater-availability-study, south-carolina, stratigraphy, transmissivity, united-states-geological-survey, upper-floridan-aquifer-system, usgs, usgs-48a01859-f435-443e-b6d9-fccda979f9b1
Organization: Department of the Interior
2021 Organic Matter Research Lab Vectorized Fluorescence Data

The USGS CAWSC Organic Matter Research Laboratory (OMRL) provides laboratory services and support to regional and national projects in the analysis of organic matter using the latest methods in absorbance and fluorescence spectroscopy. Optical measurements such as absorbance and fluorescence are used to gain insight into dissolved organic matter (DOM) composition, and can also serve as proxies for more expensive and difficult to obtain measurements. These techniques are relatively rapid and inexpensive and allow for the comprehensive tracking of DOM dynamics in aquatic ecosystems ranging from rivers and lakes to estuaries to open marine systems. 
Absorbance spectra and fluorescence matrices were simultaneously collected on filtered water samples at room temperature (21 °C) in an acid-cleaned 1 cm quartz cuvette using a spectrofluorometer equipped with a charge-coupled device (CCD) (Aqualog®, Horiba Instruments, New Jersey, U.S.A.). Excitation and absorbance scans were performed using a double-grating monochrometer, a 150 W Xenon arc lamp, a 5 nm bandpass, and a 1 s integration time at wavelengths of 240-800 nm. Emission spectra were collected with a CCD at approximately 2.3 nm (4 pixel) intervals at wavelengths of 245–800 nm. Excitation and absorbance wavelengths were scanned from low to high energy (i.e., VIS to UV) to reduce UV exposure of the sample, thus limiting the effects of photobleaching during analysis.
Laboratory fluorescence measurements collected on the Aqualog can provide validation or verification of field-based instrument fluorescence measurements where the sensor arrays are encompassed by the full Aqualog array (Booth and others, 2023). This approach may be superior to the other correction approaches where interferences are large, especially in cases where the field sensor measurements constitute less than 10% of the fully corrected value. For projects that already collect discrete samples during field sensor maintenance visits, the cost and effort is minimal for the data quality benefit.
Data presented here were analyzed by the U.S Geological Survey California Water Science Center Organic Matter Research Lab, Sacramento CA. This release contains vectorized fluorescence data measured on the Aqualog ® fluorometer January-December 2021.

Tags: aqualog, california, california-water-science-center, climatologymeteorologyatmosphere, dissolved-organic-matter, fdom, fluorescence, organic-matter-research-laboratory, sacramento, usgs-63eebfced34efa0476afacbd
Organization: Department of the Interior
Groundwater-quality data in the Mokelumne, Cosumnes, and American River Watersheds Shallow Aquifer Study Unit, 2016-2017: Results from the California GAMA Priority Basin Project

The U.S. Geological Survey collected groundwater samples from 67 wells and 1 spring used for domestic and small system drinking water supplies in Placer, El Dorado, Amador, and Calaveras Counties, California in 2016-2017. The sites were sampled for the Mokelumne, Cosumnes, and American River Watersheds (MCAW) Shallow Aquifer Study Unit of the California State Water Resources Control Board Groundwater Ambient Monitoring and Assessment (GAMA) Program Priority Basin Project’s assessment of the quality of groundwater resources used for domestic and small system drinking water supplies. Domestic and small-system wells commonly are screened at shallower depths than public-supply wells. The MCAW study unit covered the parts of the Upper Mokelumne, Upper Cosumnes, and South and North Fork American River watersheds [8-digit hydrologic unit codes (HUC8) 18040012, 18040013, 18020129, and 18020128] in the Sierra Nevada hydrogeologic province. Wells in the MCAW study unit generally tap hard-rock aquifer systems composed of volcanic, granitic, or metamorphic rocks. The study unit was divided into equal area grid cells and one well or spring was sampled in each cell. Groundwater samples were analyzed for field water-quality parameters, volatile organic compounds, pesticides and pesticide degradates, nutrients, major ions and trace elements, hexavalent chromium, perchlorate, gross alpha and gross beta particle activities, tritium, carbon-14 in dissolved inorganic carbon, stable isotopic ratios of water and dissolved nitrate, and microbial indicators.
These data support the following publication:
Fram, M.S., and Shelton, J.L., 2018, Groundwater Quality in the Mokelumne, Cosumnes, and American River Watersheds, Sierra Nevada, California: U.S. Geological Survey Open-File Report 2018-1047, 4p., https://doi.org/10.3133/ofr20181047.

Tags: amador-county, calaveras-county, california, el-dorado-county, environment, gama, geoscientificinformation, groundwater, groundwater-ambient-monitoring-and-assessment-program, placer-county, united-states, usgs-5a57c638e4b01e7be245cf12, water-quality
Organization: Department of the Interior
Photographs of vibracores collected during a Monterey Bay Aquarium Research Institute cruise in November 2019 offshore of south-central California (USGS FAN 2019-667-FA)

This dataset includes photographs of 49 vibracores that were collected by the Monterey Bay Aquarium Research Institute (MBARI) in November 2019 aboard the R/V Western Flyer using the remotely operated vehicle (ROV) Doc Ricketts. The collection of these cores was funded entirely by MBARI, and the cores have been donated to the U.S. Geological Survey (USGS). The cores were collected in collaboration with the USGS and the Bureau of Ocean Energy Management (BOEM) and are located in the same study area as the collaborative California Deepwater Investigations and Groundtruthing (Cal DIG I) project. The purpose of the overall Cal DIG I study is to assess shallow geohazards, benthic habitats, and thereby the potential for alternative energy infrastructure (namely floating wind turbines) offshore south-central California due to the study area's proximity to power grid infrastructure associated with the Morro Bay power plant. These data provide information about the geology of the seafloor and shallow subsurface offshore of the south-central California coast.

Tags: cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-processes, core-analysis, diablo-canyon, geoscientificinformation, hazards, morro-bay, nonliving-resources, pacific-coastal-and-marine-science-center, pacific-ocean, pcmsc, physical-chemical-features, physical-habitats-and-geomorphology, sediment, submarine-landslides, substrate, u-s-geological-survey, usgs, usgs-e4c5ffef-d645-4183-bf2a-324a8ae8d107
Organization: Department of the Interior
LANDFIRE Remap 2016 Vegetation Departure (VDep) HI

LANDFIRE's (LF) Remap Vegetation Departure (VDep) product categorizes departure between current vegetation condition and reference vegetation condition, according to the methods outlined in the Interagency Fire Regime Condition Class Guidebook [FRCC Guidebook (Hann et al 2010)]. VDep differs from the FRCC Guidebook, however, because it is based on the departure of current vegetation condition only, whereas the FRCC Guidebook approach includes departure of current fire regimes for the reference period. For VDep, summary units are defined as a BioPhysical Setting (BpS) with identical reference condition values regardless of map zone. For example, when a BpS is present in map zone 1, 2, 4, 5, 6 and 8, the reference conditions for this BpS are identical in map zones 1, 2, 4, 5, and 8, those map zones become a summary unit for VDep computation. Since reference conditions are unique for this BpS in map zone 6, it is a separate summary unit for calculating VDep. Within each BpS summary unit, we compare the reference percentage of each Succession Class (SClass) to the current percentage, then the smaller of the two is summed to determine the similarity index for the BpS. This value is then subtracted from 100 to determine the departure value, VDep value is always between 0 and 100, with 100 representing maximum departure. 
Reference conditions are derived from quantitative vegetation dynamics models that mimic native disturbance regimes. The current conditions are derived from the corresponding LF Remap SClass data. The proportion of the landscape occupied by each SClass, in each BpS unit, within each summary unit represents current condition of that SClass in VDep calculation. VDep is based entirely on the remaining area of each BpS unit that is occupied by valid SClasses.

Tags: biota, fires, geographic-information-systems, geospatial-datasets, hawaii, hazard-preparedness, hi, image-collections, imagerybasemapsearthcover, landfire-2016, landfire-remap, oconus, raster-digital-data, remote-sensing, u-s-forest-service-usfs, u-s-geological-survey-usgs, united-states, us, usgs-76a9539d-efba-4e65-b025-1dc3be80221a, vdep, vegetation-departure
Organization: Department of the Interior
Raw Pin Data from Rod Surface-Elevation Table (rSET) Measurements and Water Level Data at Specified Locations along Monks and Swaderick Creeks, Aberdeen Proving Ground, Maryland, 2018-2019

This metadata record contains a shapefile of site locations and 3 tables used to assess wetland elevation change over time and the long-term effects of sea-level rise to vulnerable tidal wetlands along the Edgewood peninsula of Aberdeen Proving Ground, Maryland. Included in the dataset are raw pin measurements of wetland sediment elevation and water levels measured for selected sites along Monks Creek and Swaderick Creek, in addition to water levels at the Marina along Bush River collected in 2018-2019.

Tags: aberdeen-proving-ground, edgewood, elevation, environment, geoscientificinformation, harford, inlandwaters, maryland, usgs-5e1f3c18e4b0ecf25c6134be, wetland
Organization: Department of the Interior
Wind rose plots for the volcano: 375010  Kolbeinsey Ridge

This zip folder contains ASCII text files of vectors at the specified volcano at 
12-hour intervals, 
from January 1, 1990 through December 28, 2009.  
The wind vectors are divided into five files, names by their elevation range above 
sea level in the atmosphere: 00-05km.txt; 05-11km.txt; 11-16km.txt; 16-24km.txt; 
and 24-30km.txt. 
The zip folder also contains a subfolder "figures", with Wind rose plots of wind 
direction and speed over 
this time period.  The plots are by season, and by elevation, given a total of 20 
plots (4 seasons, 5 
elevation ranges).  A summary plot is also included which gives the year-round 
wind pattern at the volcano, 
at 0-5 km elevation.  Plots are in both jpg and pdf format.

Tags: meteorology, usgs-58d01899e4b0236b68f53386, volcanic-ash, volcanic-eruption-forecasting, wind
Organization: Department of the Interior
Unvegetated to vegetated marsh ratio in Assateague Island National Seashore and Chincoteague Bay, Maryland and Virginia


    Unvegetated to vegetated marsh ratio (UVVR) in the Assateague Island National Seashore and Chincoteague Bay is computed based on conceptual marsh units defined by Defne and Ganju (2018). UVVR was calculated based on U.S. Department of Agriculture National Agriculture Imagery Program (NAIP) 1-meter resolution imagery. Through scientific efforts initiated with the Hurricane Sandy Science Plan, the U.S. Geological Survey has been expanding national assessment of coastal change hazards and forecast products to coastal wetlands, including the  Assateague Island National Seashore and Chincoteague Bay salt marshes, with the intent of providing Federal, State, and local managers with tools to estimate the vulnerability and ecosystem service potential of these wetlands. For this purpose, the response and resilience of coastal wetlands to physical factors need to be assessed in terms of the ensuing change to their vulnerability and ecosystem services. 
    
    References:
    Defne, Z., and Ganju, N.K., 2018, Conceptual marsh units for Assateague Island National Seashore and Chincoteague Bay, Maryland and Virginia: U.S. Geological Survey data release, https://doi.org/10.5066/P92ZW4D9
   

Tags: accomack-county, assateague-island-national-seashore, assateague-state-park, atlantic-ocean, chincoteague-bay, chincoteague-island, coastal-ecosystems, coastal-processes, e-a-vaughn-wildlife-management-area, environment, estuary, geospatial-datasets, inlandwaters, long-term-ecological-research, lter, marsh-health, maryland, oceans, salt-marsh, united-states, usgs-5ba3ccc4e4b08583a5c81bd1, uvvr, vegetation, virginia, wallops-island, wetland-ecosystems, wetland-functions, worcester-county
Organization: Department of the Interior
Data collected to support research on grass crop growth promotion and biostimulation by endophytic bacteria

These data show grass crop and model species response to toxic chemicals (Arsenic (As)) and humic acids. Experiments were performed by collaboration between the U.S. Geological Survey, Rutgers University, and Rey Juan Carlos University. A series of individual experiments investigated beneficial effects of endophytic bacteria on grass crop growth and resilience to known plant toxicity.

Tags: bacteria, biostimulation, biota, chemical-toxicity, endophytes, endophytic-microbes-bacteria-fungi, environment, grass-crops, symbiosis, usgs-60b93b69d34e86b9388a9bec, vegetation
Organization: Department of the Interior