AndreaBozzo/ceres-open-data-index huggingface dataset:
Folds--Offshore of Bodega Head Map Area, California

This part of DS 781 presents data for folds for the geologic and geomorphic map of the Offshore of Bodega Head map area, California. The vector data file is included in "Folds_OffshoreBodegaHead.zip," which is accessible from https://pubs.usgs.gov/ds/781/OffshoreBodegaHead/data_catalog_OffshoreBodegaHead.html. These data accompany the pamphlet and map sheets of Johnson, S.Y., Dartnell, P., Golden, N.E., Hartwell, S.R., Erdey, M.D., Greene, H.G., Cochrane, G.R., Kvitek, R.G., Manson, M.W., Endris, C.A., Dieter, B.E., Watt, J.T., Krigsman, L.M., Sliter, R.W., Lowe, E.N., and Chin, J.L. (S.Y. Johnson and S.A. Cochran, eds.), 2015, California State Waters Map Series—Offshore of Bodega Head, California: U.S. Geological Survey Open-File Report 2015–1140, pamphlet 39 p., 10 sheets, scale 1:24,000, https://doi.org/10.3133/ofr20151140.
Folds in the Offshore of Bodega Head map area are identified on seismic-reflection data based on abrupt truncation or warping of reflections and (or) juxtaposition of reflection panels with different seismic parameters such as reflection presence, amplitude, frequency, geometry, continuity, and vertical sequence. Folds were primarily mapped by interpretation of seismic reflection profile data from USGS field activity S-8-09-NC. The seismic reflection profiles were collected in 2009.

Tags: bodega-bay, cmhrp, coastal-and-marine-hazards-and-resources, continental-island-shelf, environment, fault, faulting-geologic, geologic-structure, geoscientificinformation, imagerybasemapsearthcover, marine-geology, marine-nearshore-subtidal, marine-offshore-subtidal, northern-california-ecoregion, oceans, pacific-coastal-and-marine-science-center, pacific-ocean, pcmsc, rock-substrate, salmon-creek, sea-floor-characteristics, seabed, sonoma-county, state-of-california, structural-geology, transform-continental-margin, u-s-geological-survey, unconsolidated-mineral-substrate, usgs, usgs-79fb6233-56e3-44cc-9d9a-4868ed36fb9c
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 -- Region of four states spanning the study area

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 polygon regions of the 
states covering the study area.

Tags: alabama, contour, environment, fas, florida, floridan-aquifer-system, geology, georgia, geoscientificinformation, hydrogeology, inlandwaters, regional-groundwater-availability-study, south-carolina, stratigraphy, thickness, united-states-geological-survey, usgs, usgs-80881458-a842-49f9-9bf7-5f0a04f6f70b
Organization: Department of the Interior
Basin Characteristic Layers for the Upper Colorado &amp; Gunnison Rivers Pilot Project for StreamStats 2020

The U.S. Geological Survey (USGS) calculated multiple basin characteristics as part of preparing the Upper Colorado &amp; Gunnison Rivers Pilot StreamStats application. These datasets are raster representations of various environmental, geological, and land use attributes within the Upper Colorado &amp; Gunnison Rivers study area (also known as the Next-Generation Water Observing System, or NGWOS), and will be served in the National StreamStats application (https://streamstats.usgs.gov) to describe delineated watersheds. The StreamStats application provides access to spatial analysis tools that are useful for water-resources planning and management, and for engineering and design purposes. The map-based user interface can be used to delineate drainage areas, to retrieve basin characteristics, to estimate flow statistics, and more.

Tags: climatologymeteorologyatmosphere, colorado, digital-elevation-models, geoscientificinformation, geospatial-datasets, gunnison-river, hydrology, imagerybasemapsearthcover, land-use-and-land-cover, precipitation-atmospheric, runoff, society, united-states, upper-colorado-river, usgs-5f6c9a9082ce38aaa2467566, utah, water-supply-and-demand
Organization: Department of the Interior
Lava level and crater geometry data during the 2018 lava lake draining at Kīlauea Volcano, Hawaii

In May 2018, the onset of new eruptive activity on the lower flank of Kīlauea Volcano, Hawaiʻi, accompanied the draining of the lava lake at the summit, 40 km upslope.  The lava lake draining lasted over seven days, and transitioned into the largest collapse event at the summit of Kīlauea in over 200 years, with the paired flank and summit activity marking a historic episode in the modern record of Kīlauea.  We present two important datasets that characterize draining of the Kīlauea summit lava lake in 2018.  First, we present high-precision elevation data of the lava lake surface measured by an industrial laser rangefinder.  To our knowledge, this is the highest-precision lava lake elevation data ever collected over a sustained period.  Second, we present three-dimensional models of the drained crater on three dates during the draining sequence.  The models were constructed from oblique airborne thermal images using structure-from-motion processing.  These models constrain the crater geometry and can be used for measuring the volume of the lava lake during its draining.  This combined dataset may be useful for future research on the 2018 eruption.

Tags: halemaumau, island-of-hawaii, klauea-crater, usgs-5d842627e4b0c4f70d071a23, volcano-monitoring, volcanology
Organization: Department of the Interior
Chesapeake Bay River Input Monitoring Network 1985-2019: WRTDS input data

Nitrogen, phosphorus, and suspended-sediment loads, and changes in loads, in major rivers across the Chesapeake Bay watershed have been calculated using monitoring data from the Chesapeake Bay River Input Monitoring Network (RIM) stations for the period 1985 through 2019. Nutrient and suspended-sediment loads and changes in loads were determined by applying a weighted regression approach called WRTDS (Weighted Regression on Time, Discharge, and Season).  The load results represent the total mass of nitrogen, phosphorus, and suspended sediment that was exported from each of the RIM watersheds.

Tags: chesapeake-bay-watershed, delaware, load-analysis, maryland, new-york, nitrogen, nutrients, pennsylvania, phosphorus, rivers, suspended-sediment, trends, united-states, usgs-5ed907af82ce7e579c673a1a, virginia, washington-dc, water-quality, weighted-regression, west-virginia, wrtds
Organization: Department of the Interior
Grindstone Reservoir near Cameron, Missouri, 2022

Water supply lakes are the primary source of water for many communities in northern and western Missouri.  Therefore, accurate and up-to-date estimates of lake capacity are important for managing and predicting adequate water supply. Many of the water supply lakes in Missouri were previously surveyed by the U.S. Geological Survey (USGS) in the early 2000s (Richards, 2013) and in 2013 (Huizinga, 2014); however, years of potential sedimentation may have resulted in reduced water storage capacity. Periodic bathymetric surveys are useful to update the area/capacity table and to determine changes in the bathymetric surface.
Grindstone Reservoir is a water supply lake used by the city of Cameron in northwestern Missouri. The surface area of Grindstone Reservoir is about 188 acres at the full pool level of the primary spillway (899.9 feet above the North American Vertical Datum of 1988).  A previous bathymetric survey was completed in 2013 (Huizinga, 2014) with a multibeam echosounder.  In April 2022, the USGS, in cooperation with the Missouri Department of Natural Resources (MoDNR) and in collaboration with the City of Cameron, completed a bathymetric survey of Grindstone Reservoir using a multibeam echosounder.  The water-surface elevation during the survey was about 899.9 feet. The echosounder data can be combined with light detection and ranging (lidar) data to prepare a bathymetric map and a surface area and capacity table for the lake.
The gridded bathymetric point data (GrindstoneRes2022_bathy_pts.zip) were computed on a 1.64-foot (0.5-meter) grid using the Combined Uncertainty and Bathymetry Estimator (CUBE) method, which is used as the source of points to create the bathymetric surface.
Bathymetric quality-assurance data (GrindstoneRes2022_QA_raw.zip) were collected to evaluate the vertical accuracy of the gridded bathymetric point data.
Each of these two zip files contains a shapefile with an attribute table. Attribute/column labels of each table are described in the "Entity and attribute" section of the metadata file.
References Cited:
Huizinga, R.J., 2014, Bathymetric surveys and area/capacity tables of water-supply reservoirs for the city of Cameron, Missouri, July 2013: U.S. Geological Survey Open-File Report 2014–1005, 15 p., https://doi.org/10.3133/ofr20141005.
Richards, J.M., 2013, Bathymetric surveys of selected lakes in Missouri—2000–2008: U.S. Geological Survey Open-File Report 2013–1101, 9 p. with appendix, https://doi.org/10.3133/ofr20131101.

Tags: bathymetry, bathymetry-and-elevation, cameron, dekalb-county, grindstone-reservoir, missouri, multibeam, multibeam-sonar, u-s-geological-survey, usgs, usgs-64af2986d34e70357a295016
Organization: Department of the Interior
Mean annual water-budget components for the Island of Oahu, Hawaii, for current conditions, 2001-10 rainfall and 2001-10 land cover (version 2.0)

The shapefile associated with this metadata file represents the spatial distribution of mean annual water-budget components, in inches, for the Island of Oahu, Hawaii. The water-budget components in the shapefile were computed by a water-budget model for a scenario representative of current conditions (2001-10 rainfall and 2001-10 land cover), as described in USGS Scientific Investigations Report (USGS SIR) 2015-5164. The model was developed for estimating groundwater recharge and other water-budget components for each subarea of the model. The model-subarea dataset, consisting of 395,955 subareas (polygons), was generated using Esri ArcGIS software by intersecting (merging) multiple spatial datasets. Spatial datasets merged include those that characterize the spatial distribution of hydrologic and physical conditions (rainfall, fog interception, irrigation, reference evapotranspiration, direct runoff, soil type, and land cover) that the model uses to compute groundwater recharge and other water-budget components. Additional spatial datasets merged into the model-subarea dataset include those of select geographic features that assist in analyzing model results. This metadata file describes the process of merging these spatial datasets. The shapefile attribute information associated with each polygon present an estimate of mean annual rainfall, fog interception, irrigation, septic-system leachate, runoff, canopy evaporation, actual evapotranspiration, storm-drain capture, net precipitation, total evapotranspiration, recharge, and seepage from water main, reservoirs, and cesspools. This shapefile also includes select geographic and land-cover attributes of the polygons. Brief descriptions of the water-budget components and attributes are included in this metadata file. Refer to USGS SIR 2015-5164 and SIR 2015-5010 for further details of the methods and sources used to determine these components and attributes.

Tags: canopy-evaporation, evapotranspiration, fog-interception, groundwater-recharge, groundwater-resources-program, hawaii, hawaii-volcanic-rock-aquifer-study, inlandwaters, irrigation, oahu, pacific-islands, rainfall, runoff, soil-water-balance, storm-drain-capture, usgs-5a20696de4b09fc93ddbaef8, water-budget-model
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 depicting the base of the Floridan aquifer system

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 base of the FAS in feet relative to 
NGVD29.

Tags: 1403, 1986, alabama, altitude, base, environment, fas, florida, floridan-aquifer-system, geologic-units, geology, georgia, geoscientificinformation, gridded-surface, hydrogeology, inlandwaters, miller, professional-paper, raster, regional-groundwater-availability-study, south-carolina, stratigraphy, thickness, united-states-geological-survey, usgs, usgs-0b83db99-f37e-43e1-a68e-2f2cded1ccc4
Organization: Department of the Interior
Light and GPP estimates for 173 U.S. rivers: 2. Model inputs and outputs

This dataset provides timeseries of  model input and output data
This dataset is part of a larger data release of inputs and outputs from a model to predict light at the stream surface and within the water column for 173 streams and rivers across the continental United States. The complete release contains model input data, modeled estimates of light at the stream surface and within the water column, and modeled estimates of gross primary productivity.

Tags: biota, light-transmission, metabolism, photosynthesis, primary-production, rivers, streams, turbidity, united-states, usgs-5fad844bd34eb413d5df46f1
Organization: Department of the Interior
Site description and associated GPS data collected at eleven study sites within the Grand Bay National Estuarine Research Reserve in Mississippi

Shoreline change analysis is an important environmental monitoring tool for evaluating coastal exposure to erosion hazards, particularly for vulnerable habitats such as coastal wetlands where habitat loss is problematic world-wide. The increasing availability of high-resolution satellite imagery and emerging developments in analysis techniques support the implementation of these data into coastal management, including shoreline monitoring and change analysis. Geospatial shoreline data were created from a semi-automated methodology using WorldView (WV) satellite data between 2013 and 2020. The data were compared to contemporaneous field-surveyed Real-time Kinematic (RTK) Global Positioning System (GPS) data collected by the Grand Bay National Estuarine Research Reserve (GBNERR) and digitized shorelines from U.S. Department of Agriculture National Agriculture Imagery Program (NAIP) orthophotos. Field data for shoreline monitoring sites was also collected to aid interpretation of results. This data release contains digital vector shorelines, shoreline change calculations for all three remote sensing data sets, and field surveyed data. The data will aid managers and decision-makers in the adoption of high-resolution satellite imagery into shoreline monitoring activities, which will increase the spatial scale of shoreline change monitoring, provide rapid response to evaluate impacts of coastal erosion, and reduce cost of labor-intensive practices. For further information regarding data collection and/or processing methods, refer to the associated journal article (Smith and others, 2021).

Tags: boundaries, coastal-processes, environment, geoscientificinformation, global-positioning-system, grand-bay-national-estuarine-research-reserve, gulf-of-mexico, mississippi, ms, oceans, shoreline-data, shoreline-map, usa, usgs-32960261-8513-4145-a952-4ab4da559203
Organization: Department of the Interior
Atchafalaya Sediment Delivery (AT-02): 2016 Habitat Classification

The Louisiana State Legislature created Coastal Wetlands Planning, Protection, and Restoration Act (CWPPRA) in order to conserve, restore, create and enhance Louisiana's coastal wetlands. The wetland restoration plans developed persuant to these acts specifically require an evaluation of the effectiveness of each coastal wetlands restoration project in achieving long-term solutions to arresting coastal wetlands loss. This data set includes mosaicked aerial photographs for the Atchafalaya Sediment Delivery (AT-02) project for 2016. This data set is used as a basemap for habitat classification. It also serves as a visual tool for project managers to help them identify any obvious problems or land loss within their project boundary. To better evaluate the effectiveness of restoration efforts, a habitat classification is performed on specific CWPPRA sites to help assess landscape changes.

Tags: aerial-photography, at-02, coastal-conservation, coastal-enhancement, coastal-louisiana, coastal-restoration, cwppra, dem, doqq, gis, gulf-of-mexico, image, louisiana, monitoring, mosaic, rectification, satelite-imagery, scan, south-louisiana, usgs-59de60d4e4b05fe04ccd39b2, wetlands
Organization: Department of the Interior
LANDFIRE Remap Scott and Burgan Fire Behavior Fuel Model (FBFM40) HI

LANDFIRE’s (LF) Remap Scott and Burgan Fire Behavior Fuel Model 40 (FBFM40) product represents distinct distributions of fuel loadings found among surface fuel components (live and dead), size classes, and fuel types (Scott &amp; Burgan 2005). The fuel models are described by the most common fire carrying fuel type (grass, brush, timber, or slash), loading and surface area-to-volume ratio by size class and component, fuel bed depth, and moisture of extinction. FBFM40 contains more fuel models for every fuel type than Anderson Fire Behavior Fuel Model 13 (FBFM13), and the number of fuel models representing relatively high dead fuel moisture content is increased. In FBFM40 fuel models with an herbaceous component are dynamic, to simulate curing, rather than remaining constant. 
LF Remap used vegetation products and 10-years of disturbance data to create Fuel Vegetation Type (FVT), Fuel Vegetation Cover (FVC), and Fuel Vegetation Height (FVH) for disturbed areas to represent pre-disturbance scenarios in FBFM40. A combination of pre-disturbance and non-disturbance Existing Vegetation Type (EVT) are used to assign surface fuel models. FBFM40 was developed using the most recent 10 years of Annual Disturbance products and is a capable fuels product that calculates Time Since Disturbance (TSD) assignments for disturbed areas using an “effective year." For example, year 2020 fuels may be calculated for the year 2020. This new process considers all the existing disturbances included in LF Remap and adjusts the TSD for these to the effective year (2020 in this example), making the products "2020 capable fuels." More information about capable fuels can be found at https://www.landfire.gov/lf_remap.php.

Tags: biota, fbfm, fbfm40, fire-behavior-fuel-model-40, fires, geographic-information-systems, geospatial-datasets, hawaii, hazard-preparedness, hi, image-collections, imagerybasemapsearthcover, landfire-2016, landfire-remap, oconus, raster-digital-data, remote-sensing, scott-and-burgan-fire-behavior-fuel-model, u-s-forest-service-usfs, u-s-geological-survey-usgs, united-states, us, usgs-21cb42c6-e161-4c5f-95d9-2a71aae94fe3
Organization: Department of the Interior
Baseline for the coastal region around Boston, Massachusetts, generated to calculate shoreline change rates using the Digital Shoreline Analysis System version 5.0

The Massachusetts Office of Coastal Zone Management launched the Shoreline Change Project in 1989 to identify erosion-prone areas of the coast. The shoreline position and change rate are used to inform management decisions regarding the erosion of coastal resources. In 2001, a shoreline from 1994 was added to calculate both long- and short-term shoreline change rates along ocean-facing sections of the Massachusetts coast. In 2013, two oceanfront shorelines for Massachusetts were added using 2008-9 color aerial orthoimagery and 2007 topographic lidar datasets obtained from the National Oceanic and Atmospheric Administration's Ocean Service, Coastal Services Center. This 2018 data release includes rates that incorporate two new mean high water (MHW) shorelines for the Massachusetts coast extracted from lidar data collected between 2010 and 2014. The first new shoreline for the State includes data from 2010 along the North Shore and South Coast from lidar data collected by the U.S. Army Corps of Engineers (USACE) Joint Airborne Lidar Bathymetry Technical Center of Expertise. Shorelines along the South Shore and Outer Cape are from 2011 lidar data collected by the U.S. Geological Survey's (USGS) National Geospatial Program Office. Shorelines along Nantucket and Martha’s Vineyard are from a 2012 USACE Post Sandy Topographic lidar survey. The second new shoreline for the North Shore, Boston, South Shore, Cape Cod Bay, Outer Cape, South Cape, Nantucket, Martha’s Vineyard, and the South Coast (around Buzzards Bay to the Rhode Island Border) is from 2013-14 lidar data collected by the (USGS) Coastal and Marine Geology Program. This 2018 update of the rate of shoreline change in Massachusetts includes two types of rates.  Some of the rates include a proxy-datum bias correction, this is indicated in the filename with “PDB”. The rates that do not account for this correction have “NB” in their file names.  The proxy-datum bias is applied because in some areas a proxy shoreline (like a High Water Line shoreline) has a bias when compared to a datum shoreline (like a Mean High Water shoreline). In areas where it exists, this bias should be accounted for when calculating rates using a mix of proxy and datum shorelines. This issue is explained further in Ruggiero and List (2009) and in the process steps of the metadata associated with the rates.

Tags: atlantic-coast, baseline, boston, cmgp, coastal-and-marine-geology-program, coastal-processes, digital-shoreline-analysis-system, dsas, environment, geoscientificinformation, geospatial-datasets, massachusetts, new-england, north-america, oceans, shoreline, shoreline-change, u-s-geological-survey, united-states, usgs, usgs-5c65734ce4b0fe48cb38fc63, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Dataset of Helium Concentrations in United States Wells

This dataset provides national scale location information for known, publicly available, data on helium gas concentrations, reported in mol%. The dataset was created as part of the effort by the United States Geological Survey (USGS) to conduct an assessment of helium resources in accordance with the Helium Stewardship Act of 2013, Public Law 113-40. The data were collected from the USGS Energy Geochemistry Database, Bureau of Land Management (BLM) databases, State geological survey databases, and a thorough review of the published literature. This dataset represents an aggregation of multiple datasets into one unified, cohesive system that has a number of attributes for use in a resource assessment and for dissemination to the public.

Tags: alabama, alaska, arizona, arkansas, boundaries, california, colorado, connecticut, dataset, delaware, elevation, energy, environment, farming, florida, gas, gas-chemistry, georgia, geoscientific-information, geospatial-datasets, gis, helium, helium-mol, helium-stewardship-act-2013, idaho, indiana, iowa, kansas, kentucky, louisiana, maine, maryland, massachusetts, michigan, minnesota, mississippi, missouri, montana, nebraska, nevada, new-hampshire, new-jersey, new-mexico, new-york, north-carolina, north-dakota, ohio, oklahoma, oregon, pennsylvania, pl-113-40, rhode-island, shapefile, south-carolina, south-dakota, tennessee, texas, usgs-609e8fe1d34ea221ce3f39e6, utah, vermont, virginia, washington, west-virginia, wisconsin, wyoming
Organization: Department of the Interior