AndreaBozzo/ceres-open-data-index huggingface dataset:
Landslide Inventory for the Little North Santiam River Basin, Oregon

This geodatabase is an inventory of existing landslides in the Little North Santiam River Basin, 
Oregon (2009). Each landslide feature shown has been classified according to a number of 
specific characteristics identified at the time recorded in the GIS database. The classification 
scheme was developed by the Oregon Department of Geology and Mineral Industries (Burns 
and Madin, 2009).  Several significant landslide characteristics recorded in the database are 
portrayed with symbology on this map. The specific characteristics shown for each landslide 
are the activity of landsliding, landslide features, deep or shallow failure, type of landslide 
movement, and confidence of landslide interpretation. These landslide characteristics are 
determined primarily on the basis of geomorphic features, or landforms, observed for each 
landslide.
This work was completed as part of the Master's thesis "Turbidity Monitoring and LiDAR 
Imagery Indicate Landslides are Primary Source of Suspended-Sediment Load in the Little 
North Santiam River Basin, Oregon, Winter 2009-2010" by Steven Sobieszczyk, Portland 
State University and U.S. Geological Survey.
Data layers in this geodatabase include: landslide deposit boundaries (Deposits); field-verfied 
location imagery (Photos); head scarp or scarp flanks (Scarp_Flanks); and secondary scarp 
features (Scarps).The geodatabase template was developed by the Oregon Department of 
Geology and Mineral Industries (Burns and Madin, 2009).

Tags: 2009, 2010, deposits, elkhorn, elkhorn-valley, environment, geoscientificinformation, head-scarp, inlandwaters, inventory, landslide, little-north-santiam-river-basin, marion-county, oregon, photographs, scarps, usgs-831deb4c-bed6-45ac-aa07-626ebbe566cd
Organization: Department of the Interior
Surficial Geology of the Mosier Creek Basin

A surficial and structural geologic map (SIR-2012-5002, fig. 2) was compiled to aid in the 
building of the three-dimensional geologic model.  The map covers 327 square miles in 
north-central Oregon and south-central Washington, and completely contains the study 
area defined by the Mosier-Rock-Rowena Creek Watershed extents.  Surficial and 
structural geologic maps, cross-sections, and stratigraphic interpretations of well logs 
from previous reports were synthesized into this compilation map (Newcomb, 1969; 
Swanson and others, 1981; Bela, 1982; Lite and Grondin, 1988; Kienle, 1995; and Jervey, 
1996).  The focus of this effort was to refine the geologic map within the study area to aid 
in construction of a three-dimensional geologic model to be used as the foundation for 
groundwater flow simulation.  Areas outside of the study area boundary were given less 
attention.
The primary sources for surficial and structural geology were Lite and Grondin (1988) and 
Kienle (1995).  Both extents together cover 78% of the geologic model area and represent 
the largest scales mapped.  Individually each provides significant surficial and structural 
detail absent in other sources.  Where they overlap both maps are mostly in agreement 
with only subtle differences.  Both Lite and Grondin (1988) and Kienle (1995) together 
comprise all of the major structural components represented in the geologic model with 
the exception of the wrench fault associated with the Maupin trend.
Secondary sources for surficial and structural geology include Newcomb (1969), 
Swanson and others (1981), Bela (1982), and Jervey (1996).  Newcomb (1969) was 
used to delineate alluvium, landslide deposits, glaciofluvial deposits, and Chenowith 
Formation material outside of the Lite and Grondin (1988) and Kienle (1995) map 
boundaries in Oregon.  In the western portion of the map in Oregon and all of Washington, 
Bela (1982) was relied upon for surficial geology.  Bela (1982) also provided all of the 
structural content outside the area covered by Lite and Grondin (1988) and Keinle 
(1995), with additional detail provided by Swanson and others (1981) and Jervey (1996).

Tags: geologic-compilation, inlandwaters, mosier-creek-basin, oregon, usgs-83167352-7757-4a20-9ee3-5cec2f6eea5d
Organization: Department of the Interior
2005 Post-Hurricane Dennis Florida U.S. Army Corps of Engineers Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such as dune crest, toe and shoreline help define the vulnerability of the beach to storm impacts. This dataset defines the elevation and position of the seaward-most dune crest and toe and the mean high water shoreline derived from the 2005 USACE Post-Dennis (Florida) lidar survey. Beach width is included and is defined as the distance between the dune toe and shoreline along a cross-shore profile. The beach slope is calculated using this beach width and the elevation of the shoreline and dune toe.

Tags: cmgp, coastal-and-marine-geology-program, coastal-processes, elevation, environment, florida, geoscientificinformation, gulf-of-mexico, hazards, marine-geology, ocean-sciences, oceans, spcmsc, st-petersburg-coastal-and-marine-science-center, u-s-geological-survey, united-states-of-america, usgs, usgs-83152ba4-468b-4d21-881b-9f2e337bb595
Organization: Department of the Interior
Color Shaded-Relief GeoTIFF Image Showing the Combined 4-m Multibeam and LIDAR Bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Surveys H11441 and H11224 Offshore of New London, CT (NLONDON_MBLIDAR_GEO.TIF, Geographic, WGS84)

Nearshore areas within Long Island Sound are of great interest to the Connecticut and New York research and management communities because of their ecological, recreational, and commercial importance.  However, although advances in multibeam echosounder technology permit the construction of detailed digital terrain models of seafloor topography within deeper waters, limitations inherent with collecting multibeam data make using this technology in shallower waters (&lt;10-m deep) more difficult and expensive. These limitations have often resulted in gaps of no data between multibeam bathymetric datasets and the adjacent shoreline. To address this problem, complete-coverage multibeam bathymetry acquired offshore of New London and Niantic Bay, Connecticut, has been integrated with hydrographic LIDAR acquired along the nearshore. The result is a more continuous seafloor perspective and a much smaller gap between the digital bathymetric data and the shoreline. These datasets are provided as ESRI grid and GeoTIFF formats in order to facilitate access, compatibility, and utility.

Tags: atlantic-ocean, avery-point, bathymetry, cmgp, coastal-and-marine-geology-program, computational-methods, connecticut, connecticut-department-of-environmental-protection, ct-dep, elevation, fishers-island, fishers-island-sound, geospatial-datasets, geotiff, groton, h11224, h11441, hill-shaded, imagerybasemapsearthcover, lidar, long-island-sound, marine-geophysics, multibeam-bathymetry, multibeam-sonar, national-oceanic-and-atmospheric-administration, new-london, new-york, noaa, noaa-survey-h11224, noaa-survey-h11441, north-america, oceans, ofr-2009-1231, open-file-report-2009-1231, pine-island, reson-8101, reson-8125, sea-floor-characteristics, u-s-east-coast, u-s-geological-survey, united-states, usgs, usgs-830f2774-5c88-423e-9362-69fb40ebc5e2, usgs-woods-hole-coastal-and-marine-science-center, whcmsc
Organization: Department of the Interior
6-m resolution gray-scale image of shaded-relief multibeam bathymetry in western Massachusetts Bay map Quadrangle 3 (Q3_SRELIEF.TIF)

The U.S. Geological Survey has conducted geologic mapping to characterize the sea floor offshore of Massachusetts.  The mapping was carried out using a Simrad Subsea EM 1000 Multibeam Echo Sounder on the Frederick G. Creed on four cruises conducted between 1994 and 1998.  The mapping was conducted in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and with support from the Canadian Hydrographic Service and the University of New Brunswick.
The long-term goal of this mapping effort is to produce high-resolution geologic maps and a Geographic Information System (GIS) project that presents images and grids of bathymetry, shaded relief bathymetry, and backscatter intensity data from these surveys that will serve the needs of research, management and the public.

Tags: 6-m-resolution, bathymetry, boston, cmgp, coastal-and-marine-geology-program, computational-methods, elevation, em-1000, frederick-g-creed, geospatial-datasets, geotiff, gloucester, gulf-of-maine, image, imagerybasemapsearthcover, marine-geophysics, massachusetts, massachusetts-bay, multibeam, multibeam-sonar, mwra, mwra-ocean-outfall, north-atlantic-ocean, oceans, sea-floor, sea-floor-characteristics, sea-floor-mapping, shaded-relief-bathymetry, simrad, stellwagen-basin, u-s-geological-survey, united-states, usgs, usgs-8337bab2-3608-425b-98a6-50a7a4e14b0d, usgs-map-i-2733, western-massachusetts-bay, western-massachusetts-bay-map-quadrangle-3, whsc, woods-hole-science-center
Organization: Department of the Interior
Donated AUV Chirp seismic-reflection data collected during Monterey Bay Aquarium Research Institute (MBARI) cruise in May 2019 offshore of south-central California

This dataset consists of autonomous underwater vehicle (AUV) Chirp seismic-reflection data collected in May 2019 aboard the R/V Rachel Carson, which is owned and operated by the Monterey Bay Aquarium Research Institute (MBARI). During the cruise, data were collected across four AUV dives, all four of which collected coincident bathymetry and Chirp seismic-reflection data. The collection of these data was funded entirely by MBARI, and the data have been donated to the U.S. Geological Survey (USGS). The data were collected in collaboration with the USGS and the Bureau of Ocean Energy Management (BOEM), and they are located in the same study area as the collaborative California Deepwater Investigations and Groundtruthing I (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. The AUV data in this portion of the data release provide ultra-high-resolution subsurface imaging of four different patches of seafloor offshore of the south-central California coast. The AUV mapping navigation has not been accurately positioned and is considered as only partially processed.

Tags: acoustic-methods, auv-chirp, cmhrp, coastal-and-marine-hazards-and-resources-program, diablo-canyon, distributions, edgetech-2205-1-6-khz, elevation, geoscientificinformation, geospatial-datasets, marine-geophysics, mbari, monterey-bay-aquarium-research-institute, morro-bay, oceans, pacific-coastal-and-marine-science-center, pacific-ocean, pcmsc, santa-barbara-basin, santa-lucia-bank, santa-maria-basin, sea-floor-characteristics, state-of-california, sub-bottom-profiling, sub-reflection-profiling, substrate, u-s-geological-survey, usgs, usgs-82e35542-59c8-4708-9233-e286544fcee3
Organization: Department of the Interior
LANDFIRE Remap 2016 Vegetation Condition Class (VCC) HI

LANDFIRE's (LF) Remap Vegetation Condition Class (VCC) is a reclassification and categorization of the LF Remap Vegetation Departure (VDep) product. VCC indicates the general level to which current vegetation is different from the simulated historical reference condition. Therefore, VCC is a derivative of VDep; the VDep product indicates how different current vegetation is compared to the estimated historical reference condition, and is based on change to species composition, structure, and canopy closure. To learn more about VCC and VDep go to https://www.landfire.gov/fireregime.php. 
Condition classes for VCC are defined in two ways; the original 3 category system from Fire Regime Condition Class Guidebook (FRCC Guidebook), and a newer 6 category system that provides additional precision. For the original 3 category system, the VDep value is reclassified as: Condition Class I: VDep value from 0 to 33 (Low Departure), Class II: VDep value between 34 - 66 (Moderate Departure), and Condition Class III: VDep value from 67 to 100 (High Departure). The 6 category system provides more resolution to VCC and is collapsible to the 3 category system. The 6 VCC categories are defined as: Condition Class I.A: VDep between 0 and 16 (Very Low Departure), Condition Class I.B: VDep between 17 and 33 (Low to Moderate Departure); Condition Class II.A: VDep between 34 and 50 (Moderate to Low Departure); Condition Class II.B: VDep between 51 and 66 (Moderate to High Departure); Condition Class III.A: VDep between 67 and 83 (High to Moderate Departure), and Condition Class III.B: VDep between 84 and 100 (High Departure).

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-82da067e-a32d-4151-a943-2ad3ad19df07, vcc, vegetation-condition-class
Organization: Department of the Interior
Survey lines of the sidescan sonar system of data collected in Boston Harbor and Approaches (surveylines_sss)

These data are the trackline from the high-resolution acoustic backscatter measurements of the seafloor from Boston Harbor and the harbor approaches, Massachusetts. Approximately 170 km² of sidescan sonar data were collected by the National Oceanic and Atmospheric Administration (NOAA) Ship Whiting in 2000 and 2001 and reprocessed by the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS).

Tags: 272-t, 5500, arcgis-raster, atlantic-ocean, boston, boston-harbor, boston-harbor-islands, cmgp, coastal-and-marine-geology-program, czm, edgetech, geospatial-datasets, hubline, hull, hydrographic-survey, klein, marine-geology, marine-geophysics, massachusetts-bay, massachusetts-office-of-coastal-zone-management, nahant, national-ocean-service, national-oceanic-and-atmospheric-administration, navigational-data, noaa, noaa-ship-whiting, nos, oceans, sea-floor, seafloor, sidescan, sidescan-sonar, survey-lines, tracklines, transportation, u-s-geological-survey, usgs, usgs-82d7a78e-814f-467b-af4c-21f5a891b342, whsc, woods-hole-science-center
Organization: Department of the Interior
LANDFIRE Remap Fuel Disturbance (FDist) Guam Northern Mariana Islands

LANDFIRE (LF) disturbance products are developed to provide temporal and spatial information related to landscape change. LANDFIRE 2016 Remap (LF Remap) Fuel Disturbance (FDist) uses the latest 10 years of Annual Disturbance products from the effective disturbance year. FDist is a refinement of past LF versions and is created from Remap historical Disturbance (HDist) by grouping similar disturbances types, which represent disturbance scenarios within the fuels environment.
LF Remap contains refinements to the FDist process enabling the creation of pre-disturbance fuel vegetation within disturbed areas. the new approach facilitates the production of capable fuels products, such as FDist. The capable fuels process calculates Time Since Disturbance (TSD) assignments for disturbed areas using an "effective year". Year 2020 fuels, for example, may be calculated for the year 2020. the new process considers all the existing disturbances included in LF Remap and assigns fuels to the pre-disturbance vegetation based on the adjusted TSD, making the products "2020 capable fuels." By synchronizing TSDs for surface and canopy fuels, these refinements improve performance of fire behavior modeling. LF Remap fuel products in areas mapped as disturbed within the past 10 years are delivered with the capable fuels functionality. More information about capable fuels can be found at https://www.landfire.gov/lf_remap.php.

Tags: biota, commonwealth-of-the-northern-mariana-islands, disturbance, fdist, fires, fuel-disturbance, geographic-information-systems, geospatial-datasets, guam, hazard-preparedness, ia, image-collections, imagerybasemapsearthcover, insular-areas, landfire-2016-remap, lf-2016-remap, oconus, raster-digital-data, remote-sensing, u-s-forest-service-usfs, u-s-geological-survey-usgs, united-states, us, usgs-82c83a8b-453c-4b1c-85b2-f5fd2f9b8d61
Organization: Department of the Interior
NORCAL_BASELINES - Offshore Baseline for Northern California Generated to Calculate Shoreline Change Rates

Rates of long-term and short-term shoreline change were generated in a GIS using the Digital Shoreline Analysis System (DSAS) version 3.0; An ArcGIS extension for calculating shoreline change: U.S. Geological Survey Open-File Report 2005-1304, Thieler, E.R., Himmelstoss, E.A., Zichichi, J.L., and Miller, T.M. The extension is designed to efficiently lead a user through the major steps of shoreline change analysis. This extension to ArcGIS contains three main components that define a baseline, generate orthogonal transects at a user-defined separation along the coast, and calculate rates of change (linear regression, endpoint rate, average of rates, average of endpoints, jackknife).

Tags: baseline, beach-erosion, beach-nourishment, california, cmgp, coastal-and-marine-geology-program, coastal-processes, coastal-survey-map, continental-island-shore-complex, effects-of-coastal-change, endpoint-rate, environment, erosion, esri-polyline-shapefile, geoscientificinformation, historic-shoreline, lidar, linear-regression-rate, northern-california-ecoregion, oceans, shoreline, shoreline-accretion, shoreline-change-rate, shoreline-erosion, t-sheet, tp-sheet, u-s-geological-survey, united-states, usgs, usgs-8369a534-702b-45f0-9dcb-f88710fd30fc
Organization: Department of the Interior
Sound velocity profile data from an AML Oceanographic MVP30 and Minos X collected in Cape Cod Bay, Massachusetts during USGS Field Activity 2019-002-FA (PNG images, SVP text, and point shapefile, GCS WGS 84)

Accurate data and maps of sea floor geology are important first steps toward protecting fish habitat, delineating marine resources, and assessing environmental changes due to natural or human impacts. To address these concerns the U.S. Geological Survey, in cooperation with the Massachusetts Office of Coastal Zone Management (CZM), comprehensively mapped the Cape Cod Bay sea floor to characterize the surface and shallow subsurface geologic framework. Geophysical data collected include swath bathymetry, backscatter, and seismic reflection profile data. Ground-truth data, including sediment samples, underwater video, and bottom photographs were also collected. This effort is part of a long-term collaboration between the USGS and the Commonwealth of Massachusetts to map the State’s waters, support research on the Quaternary evolution of coastal Massachusetts, the influence of sea-level change and sediment supply on coastal evolution, and efforts to understand the type, distribution, and quality of subtidal marine habitats. This collaboration produces high-resolution geologic maps and Geographic Information System (GIS) data that serve the needs of research, management and the public.  Data collected as part of this mapping cooperative continue to be released in a series of USGS Open-File Reports and Data Releases (https://www.usgs.gov/centers/whcmsc/science/geologic-mapping-massachusetts-seafloor).  This data release provides the geophysical and geologic sampling data collected in Cape Cod Bay during USGS Field Activities 2019-002-FA and 2019-034-FA in 2019.

Tags: aml-minos-x, aml-oceanographic-moving-vessel-profiler, aml-oceanographic-mvp30, atlantic-margin, atlantic-ocean, cape-cod, cape-cod-bay, cmhrp, coastal-and-marine-hazards-and-resources-program, czm, department-of-the-interior, doi, esri-shapefile, field-activity-number-2019-002-fa, field-activity-number-2019-034-fa, geoscientificinformation, gulf-of-maine, location, m-v-warren-jr, marine-geology, massachusetts, massachusetts-office-of-coastal-zone-management, massczm, moving-vessel-profiler, mvp, navigational-data, ocean-sciences, oceans, profiles, shapefile, sound-speed-profile, sound-velocity, sound-velocity-profile, ssp, svp, u-s-geological-survey, united-states-of-america, usgs, usgs-82bcd007-884a-4fbc-b74c-fbfba07010e8, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Offshore baseline for New England North coastal region from Popham Beach, Maine to the northern side of Cape Ann, Massachusetts, generated to calculate shoreline change rates (NE_North_baseline.shp)

Sandy ocean beaches are a popular recreational destination, often surrounded by communities containing valuable real estate.  Development is on the rise despite the fact that coastal infrastructure is subjected to flooding and erosion.  As a result, there is an increased demand for accurate information regarding past and present shoreline changes.  To meet these national needs, the Coastal and Marine Geology Program of the U.S. Geological Survey (USGS) is compiling existing reliable historical shoreline data along open-ocean sandy shores of the conterminous United States and parts of Alaska and Hawaii under the National Assessment of Shoreline Change project.  
There is no widely accepted standard for analyzing shoreline change.  Existing shoreline data measurements and rate calculation methods vary from study to study and prevent combining results into state-wide or regional assessments.  The impetus behind the National Assessment project was to develop a standardized method of measuring changes in shoreline position that is consistent from coast to coast.  The goal was to facilitate the process of periodically and systematically updating the results in an internally consistent manner.

Tags: atlantic-coast, baseline, cape-ann, castle-neck, cmgp, coastal-and-marine-geology-program, coastal-processes, continental-island-shore-complex, digital-shoreline-analysis-system, dsas, effects-of-coastal-change, endpoint-rate, environment, erosion, geoscientificinformation, gulf-of-maine-bay-of-fundy-ecoregion, kennebunkport, linear-regression-rate, maine, massachusetts, national-assessment-of-shoreline-change-project, new-england, new-hampshire, newburyport, oceans, old-orchard-beach, plum-island, popham-beach, portland, portsmouth, shoreline-accretion, shoreline-change-rate, shoreline-erosion, u-s-geological-survey, united-states, usgs, usgs-82bb36dc-9881-4634-9d0c-2fb5c0b267ba, whcmsc, woods-hole-coastal-and-marine-science-center, york
Organization: Department of the Interior