AndreaBozzo/ceres-open-data-index huggingface dataset:
Multibeam Echosounder, Reson T-20P tracklines, collected within Lake Powell UT-AZ during USGS Field Activity 2017-049-FA (Esri polyline shapefile, GCS WGS 84)

High-resolution geophysical mapping of Lake Powell in the Glen Canyon National Recreation Area in Utah and Arizona was conducted between October 8 and November 15, 2017, as part of a collaborative effort between the U.S. Geological Survey and the Bureau of Reclamation to provide high-quality data needed to reassess the area-capacity tables for the Lake Powell reservoir. Seismic data collected during this survey can help to define the rates of deposition within the San Juan and Colorado Rivers, which are the main inflows to Lake Powell. These new data are intended to improve water budget management decisions that affect the natural and recreational resources of the reservoir. Multibeam echosounder bathymetry and backscatter data were collected along 2,312 kilometers of tracklines (331 square kilometers) of the lake floor to regionally define its depth and morphology, as well as the character and distribution of lake-floor sediments. Ninety-two kilometers of seismic-reflection profile data were also collected to define the thickness and structure of sediment deposits near the confluences of the San Juan and Colorado Rivers.

Tags: antelope-canyon, backscatter, bathymetry, bor, bullfrog, bullfrog-bay, bureau-of-reclamation, cmgp, coastal-and-marine-geology-program, coconino-county, colorado-river, colorado-river-storage-project, crsp, dangling-rope, department-of-the-interior, doi, escalante-river, field-activity-number-2017-049-fa, friendship-bay, garfield-county, geology, geophysics, geoscientificinformation, geospatial-datasets, glen-canyon, glen-canyon-dam, glen-canyon-national-recreation-area, good-hope-bay, great-bend, gunsight-bay, halls-bay, halls-crossing, hite, inlandwaters, kane-county, lacustrine-geology, lake-floor, lake-powell, lakefloor, last-chance-bay, location, multibeam-backscatter, multibeam-bathymetry, multibeam-echosounder, multibeam-sonar, national-park-service, navajo-canyon, navigational-data, nps, padre-bay, page, r-v-stephens, rainbow-bridge-national-monument, reson, rock-creek-bay, san-juan-county, san-juan-river, shapefile, state-of-arizona, state-of-utah, t20-p, trackline-navigation, u-s-geological-survey, united-states-of-america, usgs, usgs-5b91371ce4b0702d0e8085f3, utah-water-science-center, uwsc, wahweap, wahweap-bay, warm-creek-bay, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Shapefiles depicting the 2D HEC-RAS hydraulic modeling domains

The shapefiles depict the 2D HEC-RAS hydraulic modeling domains used for the simulations described in the associated publication. Model domains were delineated in the HEC-RAS geometry editor to encompass river-valley bottoms and adjacent hillslopes of four river reaches of contrasting contributing area and morphology: Seneca Creek at Dawsonville, MD; Patapsco River at Woodstock, MD; Patuxent River at Unity, MD; and Little Gunpowder Falls at Laurel Brook, MD.

Tags: biota, flood-regime, floodplain, hydrogeomorphology, hydrology, inundation, little-gunpowder-falls-laurel-brook-maryland-usa, patapsco-river-woodstock-maryland-usa, patuxent-river-unity-md-maryland-usa, seneca-creek-dawsonville-maryland-usa, usgs-5b911dd6e4b0702d0e808595
Organization: Department of the Interior
Complex interactions among river-valley morphology, basin size, and flow-event magnitude structure the physical template of floodplain ecosystems. Data

Various datasets used in support of research looking into complex interactions among river-valley morphology, basin size, and flow-event magnitude structure the physical template of floodplain ecosystems.

Tags: biota, flood-regime, floodplain, hydrogeomorpholgy, hydrology, indundation, little-gunpowder-falls-at-laurel-brook-maryland-usa, patapsco-river-at-woodstock-maryland-usa, patuxent-river-at-unity-maryland-usa, seneca-creek-at-dawsonville-maryland-usa, usgs-5b911ce2e4b0702d0e80858f
Organization: Department of the Interior
Potential areas of ground-water discharge in the Basin and Range carbonate-rock aquifer system, White Pine County, Nevada, and adjacent parts of Nevada and Utah

These data represent potential areas of ground-water discharge for selected hydrographic areas in 
eastern Nevada and western Utah.  The data are based on phreatophyte boundaries published by 
the U.S. Geological Survey (USGS) and on unpublished boundaries mapped by the Southern Nevada 
Water Authority (SNWA).  Selected basins also were mapped by the USGS during an aerial field 
reconnaissance.  The largest phreatophyte extent from all the sources was typically selected as 
the final boundary where a basin was covered by multiple boundaries. Selected basins were field 
verified and modified to reflect the ground condition during the summer of 2005.  This data set also 
includes subbasin boundaries identified by Sweetkind and others (2007) (See Source_Information). 
The table below lists the boundary sources for each valley and whether the data were ground verified.
		
&gt; Valley              Sources                   Field
&gt;                                             verified
------------------------------------------------------------------------------------------
&gt;Little Smoky Nichols, 2000; Harrill, 1988       Yes
&gt;Newark       Nichols, 2000; Harrill, 1988       Yes
&gt;Long         Nichols, 2000; Harrill, 1988; SNWA Yes
&gt;Jakes        Nichols, 2000; SNWA                Yes
&gt;Butte        Nichols, 2000; Harrill, 1988; SNWA Yes
&gt;Steptoe      Nichols, 2000; Harrill, 1988; SNWA  No
&gt;Tippett      Nichols, 2000                       No
&gt;Spring       Nichols, 2000; Harrill, 1988; SNWA Yes
&gt;Snake        Harrill, 1988; SNWA; Aerial         No
&gt;Lake         Harrill, 1988; SNWA; Aerial        Yes
&gt;Cave         SNWA; Aerial                        No
&gt;White River  Harrill, 1988; SNWA; Aerial        Yes

Tags: butte-valley, cave-valley, evapotranspiration, great-basin, ground-water-discharge, inlandwaters, jakes-valley, lake-valley, little-smoky-valley, long-valley, nevada, newark-valley, phreatophyte, snake-valley, spring-valley, steptoe-valley, subbasins, tippett-valley, usgs-5b909aa8-9872-4a66-b167-b9f4f91a8112, utah, white-river-valley
Organization: Department of the Interior
Catchment-Level Predictions of Nitrogen and Phosphorus Fertilizer Use from Commercial Fertilizer Sales Data for the Conterminous U.S., 2012

This dataset contains catchment-level estimates of nitrogen and phosphorus fertilizer use, for agricultural lands, for the conterminous U.S., for 2012.  An approach was developed to relate farm commercial fertilizer sales data from the Association of American Plant Food Control Officials (AAPFCO) to a set of explanatory variables using spatially-referenced modeling methods. Separate models for nitrogen and phosphorus are developed to estimate elemental fertilizer use on agricultural lands for the conterminous U.S. at the National Hydrography Dataset Plus version 2 (NHDPlusV2) catchment scale. The approach builds on earlier efforts that use Association of American Plant Food Control Officials (AAPFCO) data on fertilizer sales to provide county-level estimates of nitrogen and phosphorus fertilizer use. The spatially-referenced method improves on these efforts by allowing for varying nitrogen to phosphorus (NP) ratios at the catchment scale and expanding the set of variables used to allocate county-level sales data to the catchment scale. The models include catchment-level factors that are either primary determinants of fertilizer use, such as the acreage of different crop types, or measures reflecting the intensity of use, such as climate. Explanatory variables available only at the county scale, such as United States Department of Agriculture (USDA) Census of Agriculture (COA) estimates of fertilizer expenditures, are included to improve the model predictions of elemental use. The nitrogen and phosphorus models explain over 90 percent of the variation in elemental use, and the statistical approach allows for the estimation of uncertainty of predicted use in each catchment. The spatial patterns of model estimates reflect known agricultural cropping practices across the U.S. that transcends political boundaries, despite the county/state-orientation of the fertilizer sales information. The results are expected to be useful for a variety of water-quality assessments that are intended to estimate nitrogen and phosphorus loads to streams. A companion data release provides catchment/county level model input for the nitrogen and phosphorus fertilizer use models and is listed in this metadata under Cross Reference. The software and methods used for producing these estimates are described in the USGS Scientific Investigations Report listed in this metadata under Larger Work Citation.

Tags: modeling-mathematical, n-fertilizers, nitrogen, npk-fertilizers, phosphorus, phosphorus-fertilizers, surface-water-quality, usgs-5b9059b4e4b0702d0e80788f
Organization: Department of the Interior
Dataset used for estimating catchment-level nitrogen and phosphorus fertilizer use from commercial fertilizer sales data for the Conterminous U.S., 2012

This dataset includes all of the variables that were used in predictive models to estimate nitrogen and phosphorus fertilizer use from commercial fertilizer sales data at the catchment/county level for the Conterminous U.S. for the year 2012. The dataset includes model input at the catchment/county level. A companion USGS Scientific Investigations Report describes the methods and subsequent results of two models developed for estimating elemental nitrogen and phosphorus commercial fertilizer use on agricultural lands for the conterminous US at the catchment/county scale for the year 2012. A companion data release provides catchment-level estimates of nitrogen and phosphorus fertilizer use, for agricultural lands, for the Conterminous U.S., for 2012. The software and methods used for producing this dataset are described in the USGS Scientific Investigations Report listed in this metadata under Larger Work Citation.

Tags: modeling-mathematical, n-fertilizers, nitrogen, npk-fertilizers, phosphorus, phosphorus-fertilizers, surface-water-quality, usgs-5b904d86e4b0702d0e807877
Organization: Department of the Interior
Multibeam bathymetric data collected within Lake Powell, UT-AZ during USGS Field Activity 2017-049-FA using a dual-head Reson T20-P multibeam echosounder (32-bit GeoTIFF, UTM Zone 12N, NAD 83, NAVD 88 Vertical Datum, 2-m resolution).

High-resolution geophysical mapping of Lake Powell in the Glen Canyon National Recreation Area in Utah and Arizona was conducted between October 8 and November 15, 2017, as part of a collaborative effort between the U.S. Geological Survey and the Bureau of Reclamation to provide high-quality data needed to reassess the area-capacity tables for the Lake Powell reservoir. Seismic data collected during this survey can help to define the rates of deposition within the San Juan and Colorado Rivers, which are the main inflows to Lake Powell. These new data are intended to improve water budget management decisions that affect the natural and recreational resources of the reservoir. Multibeam echosounder bathymetry and backscatter data were collected along 2,312 kilometers of tracklines (331 square kilometers) of the lake floor to regionally define its depth and morphology, as well as the character and distribution of lake-floor sediments. Ninety-two kilometers of seismic-reflection profile data were also collected to define the thickness and structure of sediment deposits near the confluences of the San Juan and Colorado Rivers.

Tags: antelope-canyon, bathymetry, bor, bullfrog, bullfrog-bay, bureau-of-reclamation, cmgp, coastal-and-marine-geology-program, coconino-county, colorado-river, colorado-river-storage-project, crsp, dangling-rope, department-of-the-interior, doi, elevation, escalante-river, field-activity-number-2017-049-fa, friendship-bay, garfield-county, geology, geophysics, geoscientificinformation, geospatial-datasets, geotiff, glen-canyon, glen-canyon-dam, glen-canyon-national-recreation-area, good-hope-bay, great-bend, gunsight-bay, halls-bay, halls-crossing, hite, imagerybasemapsearthcover, inlandwaters, kane-county, lacustrine-geology, lake-floor, lake-powell, lakebed-characteristics, lakefloor, last-chance-bay, multibeam-bathymetry, multibeam-echosounder, multibeam-sonar, national-park-service, navajo-canyon, nps, padre-bay, page, r-v-stephens, rainbow-bridge-national-monument, reson, rock-creek-bay, san-juan-county, san-juan-river, state-of-arizona, state-of-utah, t20-p, u-s-geological-survey, united-states-of-america, usgs, usgs-5b90140ae4b0702d0e80756d, utah-water-science-center, uwsc, wahweap, wahweap-bay, warm-creek-bay, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Louisiana Barrier Island Comprehensive Monitoring Program – 2016 habitat map, Modern Delta 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 (SWAMP) program. 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 for reaches mapped in 2005 by Fearnley et al. (2009) 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, coastal-wetlands, dune, environment, geoscientificinformation, gulf-of-mexico, habitat-map, imagerybasemapsearthcover, louisiana, louisiana-coastal, mangrove, marsh, modern-delta-region, plaquemines-parish, remote-sensing, scrub-shrub, usgs-5b940a1be4b0702d0e825463
Organization: Department of the Interior
Data and Surrogate Models for Suspended Sediment, Total Nitrogen, and Total Phosphorus for the Kankakee River at Shelby, Indiana, January 5, 2016 to May 31, 2018

The data set consists of continuous water-quality data (temperature, specific conductance, pH, dissolved oxygen, turbidity, nitrate plus nitrite, and streamflow) from in-situ equipment and discrete water-quality samples (suspended sediment concentration, suspended sediment sieve diameter, total nitrogen, and total phosphorus) collected during site visits at the USGS streamgage Kankakee River at Shelby, Indiana (05518000) from January 2016 through May 2018.

Tags: environment, indiana, midwest, nutrient-content-water, nutrient-pollution, sediment-transport, statistical-modeling, surface-water-quality, usgs-5b8eb376e4b0702d0e7ebe07, water-quality
Organization: Department of the Interior
Geophysical Surveys of Bear Lake, Utah-Idaho, September 2002 - Bathymetric Grid (BATHYGRD.TIF)

Bear Lake is a tectonic lake that has existed for at least several hundred thousand years. The lake basin is a relatively simple half graben, a spoon-shaped depression tilted toward the main fault on the east side of the lake. The U.S. Geological Survey, in cooperation with researchers from several universities, has been studying the sediments of Bear Lake since 1996. The general purpose of this effort is to reconstruct past limnological conditions and regional climate on a range of timescales, from hundreds of years to hundreds of thousands of years. This research relates to a variety of human concerns, including water usage in the Bear River basin. Past work has included several coring operations, a seismic-reflection survey, sediment-trap deployments, a barge-mounted drilling operation with the GLAD800 drill rig, and a variety of other studies.
The objectives of the September, 2002 operations, preliminarily reported here, were (1) to compile a detailed bathymetric map of the lake using swath-mapping techniques, in order to provide baseline data for a variety of applications and studies, and (2) to complete a sidescan-sonar survey of the lake, providing a nearly complete acoustic image of the lake floor. Limited amounts of subbottom acoustic-reflection data (chrip) were also collected, along with samples of lake-floor sediments representative of different kinds of backscatter patterns.  These surveys followed an earlier subbottom acoustic-reflection survey (1997), using boomer and 3.5 kHz systems (S. M. Colman, unpublished data).

Tags: bathymetry, bear-lake, cmgp, coastal-and-marine-geology-program, elevation, geophysics, geospatial-datasets, idaho, imagerybasemapsearthcover, inlandwaters, interferometric-sonar, interferometry, lakebed-characteristics, north-america, swath-bathymetry, u-s-geological-survey, united-states, usgs, usgs-5b8b667d-ddf9-4f49-82c3-eb152e0ca11e, utah, western-lakes, woods-hole-field-center
Organization: Department of the Interior
JI_Q05.TIF - Johnston Island U.S. EEZ GLORIA sidescan-sonar data mosaic (5 of 16) (LCC, 50 m, WGS84)

In 1984, the U.S. Geological Survey (USGS), Office of Marine Geology, launched a program using the Geological LOng-Range Inclined Asdic (GLORIA) sidescan-sonar system to study the entire U.S. Exclusive Economic Zone (EEZ). From December 1990 through February 1991, the USGS and IOS (Institute of Oceanographic Sciences, U.K.) scientists conducted three surveys within the Johnston Atoll U.S. EEZ surrounding Johnston Island. The results of these surveys were 16 digital mosaics of a 2 degree by 2 degree area with a 50-meter pixel resolution.

Tags: acoustic-receivers, acoustic-reflectivity, akau-island, backscatter, central-pacific-ocean, cmgp, coastal-and-marine-geology-program, distributions, eez, exclusive-economic-zone, exclusive-economic-zone-eez, field-activity-number-f-1-91-cp, field-activity-number-f-13-90-cp, field-activity-number-f-2-91-cp, geological-long-range-inclined-asdic, geoscientificinformation, geotiff-image, gloria, gloria-gt-geological-long-range-inclined-asdic, grey-scale-image, hawaii-ecoregion, hikina-island, image-mosaics, imagerybasemapsearthcover, johnston-atoll-eez, johnston-atoll-exclusive-economic-zone, johnston-island, marine-basin-floor, marine-geology, marine-geophysics, marine-oceanic, oceans, oceans-gt-ocean-acoustics-gt-acoustic-reflectivity, oceans-gt-pacific-ocean-gt-central-pacific-ocean, physical-habitats-and-geomorphology, sand-island, sea-floor-acoustic-reflectivity, sea-floor-characteristics, seabed, side-scan-sonar, sidescan-sonar, sidescan-sonar-mosaic, u-s-geological-survey, usgs, usgs-5b8b06e3-f3c5-44f6-a5b0-307624838dc6, whsc, woods-hole-science-center
Organization: Department of the Interior
LEAN-Corrected San Francisco Bay Digital Elevation Model, 2018

Lidar-derived digital elevation models often contain a vertical bias due to vegetation. In areas with tidal influence the amount of bias can be ecologically significant, for example, by decreasing the expected inundation frequency. We generated a corrected digital elevation mode (DEM) for tidal marsh areas around San Francisco Bay using the Lidar Elevation Adjustment with NDVI (LEAN) technique (Buffington et al. 2016). Survey-grade GPS survey data (6614 points), NAIP-derived Normalized Difference Vegetation Index, and original 1 m lidar DEM from 2010 were used to generate a model of predicted bias across tidal marsh areas. The predicted bias was then subtracted from the original lidar DEM and merged with the NOAA Sea-Level Rise Viewer DEM to create a new seamless DEM for the San Francisco Bay. Across all GPS points, mean initial lidar error was 22.8 cm (SD=12.0) and root-mean squared error (RMSE) was 25.8 cm. After correction with LEAN, mean error was 0 (SD=0.07) and RMSE was 7.4 cm. 
References:
Buffington, K.J., Dugger, B.D., Thorne, K.M. and Takekawa, J.Y., 2016. Statistical correction of lidar-derived digital elevation models with multispectral airborne imagery in tidal marshes. Remote Sensing of Environment, 186, pp.616-625.

Tags: biota, digital-elevation-models, estuary, lidar, usgs-5b89b63be4b0702d0e7cd5d2, wetlands
Organization: Department of the Interior