AndreaBozzo/ceres-open-data-index huggingface dataset:
Bathymetric data and grid of offshore Head of the Meadow Beach, Truro, MA on April 7, 2023

The data in this release re-map the beach and nearshore environment at Head of the Meadow Beach in Truro, MA and provide updated environmental context for the 2020 CoastCam installation that looks out at the coast shared by beachgoers, shorebirds, seals, and sharks. This is related to the field activity 2022-015-FA and a collaboration with the National Park Service at Cape Cod National Seashore to monitor the region that falls within the field of view of CoastCam CACO-01, which are two video cameras aimed at the beach. In March and April 2023, U.S. Geological Survey and Woods Hole Oceanographic Institute (WHOI) scientists conducted field surveys to collect topographic and bathymetric data. Images of the beach for use in structure-from-motion were taken with a camera (SONY a6000) and a post-processed kinematic (PPK) system attached to a helium powered balloon-kite (Helikite). High-precision GPS targets (AeroPoints) and numbered black and white tarps were used as ground control points. Bathymetry was collected in the nearshore using a single-beam echosounder mounted on a surf capable self-righting electric autonomous surface vehicle. Agisoft Metashape (v. 1.8.1) was used to create a digital surface model and orthomosaic with the collected imagery.

Tags: asv, autonomous-surface-vehicle, bathymetry, cape-cod, cmhrp, coastal-and-marine-hazards-and-resources-program, elevation, geoscientificinformation, geospatial-datasets, head-of-the-meadow-beach, location, massachusetts, national-seashore, oceans, remote-sensing, shoreline, single-beam-echo-sounder, truro, u-s-geological-survey, united-states, usgs, usgs-6465157ed34ec179a83dc2dc, whcmsc, whoi, woods-hole-coastal-and-marine-science-center, woods-hole-oceanographic-institution
Organization: Department of the Interior
Moderate Resolution Imaging Spectroradiometer (MODIS) Irrigated Agriculture Datasets for the Conterminous United States (MIrAD-US)

NASS USDA estimates the irrigated croplands at county level every five years. But this estimation does not provide the geospatial information of the irrigated croplands. To provide a comprehensive, consistent, and timely geospatially detailed information about irrigated cropland conterminous U.S. (CONUS), the “Moderate Resolution Imaging Spectroradiometer (MODIS) Irrigated Agriculture Dataset for the United States (MIrAD-US)” product was produced by the U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center with funding from several USGS programs (National Land Imaging and National Water-Quality Assessment). A primary objective was to identify, and map irrigated agricultural areas to factor into water quality studies and drought monitoring investigations. This product uses three primary data inputs, (a) USDA county-level irrigation area statistics for 2002, (b) annual peak eMODIS Normalized Difference Vegetation Index (NDVI), and (c) a land cover mask for agricultural lands derived from NLCD to map the spatial distribution of irrigated lands across the conterminous United States. The MIrAD Version 4 offers the datasets for the years 2002, 2007, 2012, and 2017 at 250-m and 1-km spatial resolutions. The validation of MIrAD-US is a challenge because no other single-source current datasets are available at a national scale for comparison. Thus, this dataset should be considered provisional until a formal accuracy assessment can be completed. The product update is planned for every 5 years, synchronized with the update of the Census of Agriculture by the U.S Department of Agriculture (USDA) but contingent upon availability of Collection 6 (C6) Aqua eMODIS data and funding.

Tags: agriculture, environment, farming, irrigation, multispectral-imaging, remote-sensing, usgs-5db08e84e4b0b0c58b56e04f
Organization: Department of the Interior
Annual California Sea Otter Census: 2017 Range Extent Shapefile

The GIS shapefile "Range extent of southern sea otters 2017" is a simple polyline representing the geographic distribution of the southern sea otter (Enhydra lutris nereis) in mainland California, based on data collected during the spring 2017 range-wide census. The USGS range-wide sea otter census has been undertaken twice a year since 1982, once in May and once in October, using consistent methodology involving both ground-based and aerial-based counts. The spring census is considered more accurate than the fall count, and provides the primary basis for gauging population trends by State and Federal management agencies. Sea otter distribution in California (the mainland range) is considered to comprise a band of potential habitat stretching along the coast of California, and bounded to the north and south by range limits defined as "the points farthest from the range center at which 5 or more otters are counted within a 10km contiguous stretch of coastline (as measured along the 10m bathymetric contour) during the two most recent spring censuses, or at which these same criteria were met in the previous year".

Tags: aerial-counts, biota, california, central-california-coastal, coast, distribution, environment, ocean, range, sea-otter-census, sea-otters, shore-counts, southern-california-coastal, usgs-59bc4251e4b091459a591370
Organization: Department of the Interior
A comprehensive inventory of perennial snow and ice in Glacier National Park in 2005

These polygon features represent a comprehensive inventory of perennial snow and ice on the landscape in Glacier National Park (GNP) in 2005. This dataset does not include the 2005 extent of the named glaciers in GNP, which have been previously published.  Of the perennial snow and ice features delineated here, 1.68 km2 (15.08%) of the total area exhibits characteristics indicative of active glacial ice. The imagery used to delineate perennial snow and ice was taken late season, therefore, all snow and ice present on the landscape is assumed to be perennial. Polygons were digitized based on National Agricultural Imagery Program (NAIP) imagery acquired in 2005, imagery acquired by the National Park Service in 2004 to assess the extent of 2003 wildfires, and border Imagery from the Department of Homeland Security acquired in 2009. Digitization was completed by Adam Clark and Kevin Jacks (USGS). Glacier margins were digitized at 1:2000 scale.

Tags: aerial-imagery, cryosphere, environment, geoscientificinformation, glacier-national-park, montana, perennial, remote-sensing, snow-and-ice, snow-and-ice-cover, usgs-5c8152d5e4b09388244762be
Organization: Department of the Interior
Missouri River 2011 Regional Sand Floodplain

This is a polygon coverage of sand deposits from the 2011 Missouri River flood. The polygon coverages were compiled from classification of 26 multispectral SPOT (Système Pour l’Observation de la Terre) 4 and 5 satellite images colleted during October and November, 2011. The dataset covers 1,298 km of the Missouri River valley bottom from Gavins Point Dam in South Dakota to the confluence with the Mississippi River near St. Louis, Missouri. Dataset is described in: Alexander, J.S., Jacobson, R.B., and Rus, D.L., 2013, Sediment transport and deposition in the lower Missouri River during the 2011 flood: U.S. Geological Survey Professional Paper, 27 p. http://pubs.usgs.gov/pp/1798f/

Tags: 2011-flood, deposition, floodplain, floodplains, floods, geomorphology, hazards, iowa, kansas, missouri, missouri-river, nebraska, sand, sedimentation, south-dakota, usgs-573c8422e4b0dae0d5e4af62
Organization: Department of the Interior
Regional scale magnetotelluric data from the Rio Grande Rift and southern Rocky Mountains, Station rgr519

This dataset consists of 102 magnetotelluric (MT) stations collected in 2012-2014 in the Rio Grande Rift and southern Rocky Mountains. The U.S. Geological Survey acquired these data to improve regional conductivity models of the western United States. This work is in support of studies of the effect of lithospheric modification on electrical resistivity structure and tectonic evolution of the western United States.

Tags: apparent-resistivity, basin-and-range, electromagnetic-surveying, geology-geophysics-and-geochemistry-science-center, geophysics, geoscientificinformation, gggsc, great-plains, impedance, magnetic-field-earth, magnetotelluric, mineral-resources-program, mrp, mt, new-mexico, phase, regional-conductivity-models, rio-grande-rift, time-series, tipper, usgs-5ada26e5e4b0e2c2dd297784
Organization: Department of the Interior
Pine Creek Freshwater Mussel Qualitative Surveys: 1995 - 2009

Data are included for field surveys conducted for freshwater mussels within the Pine Creek watershed in the Mid-Atlantic region of the United States.  Timed search (qualitative) surveys were conducted in ~200 meter sections of river between 1995 and 2009; The number of mussels of each species and associated search time were recorded for each survey section to determine a catch per unit effort (CPUE; number of individuals found per person hour).

Tags: animal-and-plant-census, biota, mollusks, pine-creek, potter-county, tioga-county, usgs-5eecea5a82ce3bd58d8cc04e
Organization: Department of the Interior
Raster image of exposure potential to environmental health stressors in Edwin B. Forsythe National Wildlife Refuge (32-bit GeoTIFF)

Natural and anthropogenic contaminants, pathogens, and viruses are found in soils and sediments throughout the United States. Enhanced dispersion and concentration of these environmental health stressors in coastal regions can result from sea level rise and storm-derived disturbances. The combination of existing environmental health stressors and those mobilized by natural or anthropogenic disasters could adversely impact the health and resilience of coastal communities and ecosystems. This dataset displays the exposure potential to environmental health stressors in the Edwin B. Forsythe National Wildlife Refuge (EBFNWR), which spans over Great Bay, Little Egg Harbor, and Barnegat Bay in New Jersey, USA. Exposure potential is calculated with the Sediment-bound Contaminant Resiliency and Response (SCoRR) ranking system (Reilly and others, 2015) designed to define baseline and post-event sediment-bound environmental health stressors. Facilities obtained from the Environmental Protection Agency’s (EPA) Toxic Release Inventory (TRI) and Facility Registry Service (FRS) databases were ranked based on their potential contaminant hazard. Ranks were based in part on previous work by Olsen and others (2013), literature reviews, and an expert review panel. A 2000 meter search radius was used to identify nearby ranked facility locations. 
As part of the Hurricane Sandy Science Plan, the U.S. Geological Survey has started a Wetland Synthesis Project to expand National Assessment of Coastal Change Hazards and forecast products to coastal wetlands. The intent is to provide federal, state, and local managers with tools to estimate their vulnerability and ecosystem service potential. 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. EBFNWR was selected as a pilot study area.

Tags: atlantic-ocean, barnegat-bay, coastal-ecosystems, coastal-processes, contaminant-transport, contamination, ecological-processes, ecotoxicology, edwin-b-forsythe-national-wildlife-refuge, environment, environmental-assessment, estuary, facility-registry-service, geotiff, great-bay, inlandwaters, little-egg-island, marsh-health, new-jersey, oceans, resilience, salt-marsh, sediment, sedimentation, toxic-release-inventory, united-states, usgs-586eab1fe4b0f5ce109fcd98, vegetation, vulnerability, wetland-ecosystems, wetland-functions
Organization: Department of the Interior
Select attributes for NHDPlus version 2.1 reach catchments and modified network routed upstream watersheds for the conterminous United States, seasonal enhanced vegetation index, fall of 2011 through summer of 2012

This tabular data set represents Enhanced Vegetation Index compiled for two spatial components of the NHDPlus version 2.1 data suite (NHDPlusv2) for the conterminous United States; 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. This dataset can be linked to the NHDPlus version 2.1 data suite by the unique identifier COMID. Units are 0-1, 0 being low vegetation, 1 being high vegetation. Reach catchment information characterizes data at the local scale. Reach catchments accumulated upstream through the river network characterizes cumulative upstream conditions. Network-accumulated values are computed using two methods, 1) divergence-routed and 2) total cumulative drainage area. Both approaches use a modified routing database to navigate the NHDPlus reach network to aggregate (accumulate) the metrics derived from the reach catchment scale. (Schwarz and Wieczorek, 2016). Enhanced Vegetation Index were compiled by season for the fall of 2011, winter, spring, and summer of 2012. Seasons are defined as 1) fall: October, November, and December; 2) winter: January, February, and March; 3) spring: April, May, and June; and 4) summer: July, August, and September. Source data are derived from MODUS satellite imagery and were processed by the University of Oregon and provided as mean seasonal values for the conterminous United States.

Tags: conterminous-united-states, enhanced-vegetation-index, evi, inlandwaters, multispectral-imaging, remote-sensing, united-states, usgs-5d4c2ec5e4b01d82ce8dfa7c
Organization: Department of the Interior
CDP navigation at 500 trace intervals for multichannel boomer seismic-reflection data collected by the U.S. Geological Survey in Vineyard Sound, MA, 2011 (Esri point shapefile, Geographic, WGS 84, 2010-100-FA_Boomer_cdp500.shp)

These data were collected under a cooperative agreement between the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Coastal and Marine Geology Program, Woods Hole Coastal and Marine Science Center (WHCMSC). Initiated in 2003, the primary objective of this program is to develop regional geologic framework information for the management of coastal and marine resources. Accurate data and maps of seafloor geology are important first steps toward protecting fish habitat, delineating marine resources, and assessing environmental changes due to natural or human impacts. The project is focused on the inshore waters of coastal Massachusetts, primarily in water depths of 2-30 meters. Data collected for the mapping cooperative have been released in a series of USGS Open-File Reports (https://woodshole.er.usgs.gov/project-pages/coastal_mass/). The data collected in this study area are located in both Buzzards Bay and Vineyard Sound and are primarily in the shallow water areas around the eastern Elizabeth Islands and Martha's Vineyard, Massachusetts. The data include high resolution bathymetry, acoustic-backscatter intensity, sound velocity in water, seismic-reflection profiles, and navigation data. These data were collected during several cruises between 2007 and 2011 onboard the R/V Rafael using the following equipment: an SEA Ltd SwathPlus interferometric sonar (234 kHz), Klein 3000 dual frequency sidescan sonar, a boomer source and Geometrics 8-channel GeoEel streamer, a Knudsen 3200 subbottom profiling system, and 4 GPS antennae. More information about the cruises conducted as part of the project: Geologic Mapping of the Seafloor Offshore of Massachusetts can be found on the Woods Hole Coastal and Marine Science Center Field Activity webpages: https://cmgds.marine.usgs.gov/fan_info.php?fan=2011-013-FA,  https://cmgds.marine.usgs.gov/fan_info.php?fan=2009-068-FA,  https://cmgds.marine.usgs.gov/fan_info.php?fan=2007-039-FA, https://cmgds.marine.usgs.gov/fan_info.php?fan=2010-100-FA, and  https://cmgds.marine.usgs.gov/fan_info.php?fan=2010-047-FA.

Tags: boomer, cdp-navigation, cmgp, coastal-and-marine-geology-program, esri-shapefile, field-activity-number-2010-100-fa, geoeel, geometrics, geospatial-datasets, location, lucas-shoal, marine-geophysics, massachusetts, middle-ground-shoal, navigation, navigational-data, north-america, north-atlantic-ocean, oceans, r-v-rafael, seg-d, seg-y, seismic-navigation, u-s-geological-survey, united-states, usgs, usgs-32834425-62c8-4a81-94d6-473a940f22b4, vineyard-sound, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
GMX_Q08.TIF - U.S. Gulf of Mexico EEZ GLORIA sidescan-sonar data mosaic (8 of 16) (ACEA, 50 m, Clarke1866)

During February 1982 and again from August 7 to October 22, 1985 the U.S. Geological Survey (USGS) conducted four cruises to cover the U.S. Gulf of Mexico Continental Margin Exclusive Economic Zone (EEZ) seaward of the continental shelf edge. As in earlier EEZ reconnaissance surveys, the USGS utilized the GLORIA (Geological LOng-Range Inclined Asdic) sidescan-sonar system to complete the geologic mapping. The collected GLORIA data were processed and digitally mosaicked to produce continuous imagery of the seafloor. A total of 16 digital mosaics of a 2 degree by 2 degree (or smaller) area with a 50-meter pixel resolution were completed for the Gulf of Mexico region.

Tags: acoustic-receivers, acoustic-reflectivity, backscatter, cmgp, coastal-and-marine-geology-program, continental-island-rise, continental-island-slope, continental-margin, continental-rise, continental-shelf, continental-slope, distributions, eez, exclusive-economic-zone, exclusive-economic-zone-eez, florida-escarpment, floridian-ecoregion, geological-long-range-inclined-asdic, geoscientificinformation, geotiff-image, gloria, gloria-gt-geological-long-range-inclined-asdic, grey-scale-image, gulf-of-mexico, image-mosaics, imagerybasemapsearthcover, infobank-identifier-f-1-85-gm, infobank-identifier-f-2-85-gm, infobank-identifier-f-3a-85-gm, infobank-identifier-f-7-82-gm, marine-basin-floor, marine-geology, marine-geophysics, marine-oceanic, mississippi-canyon-and-fan, northern-gulf-of-mexico-ecoregion, ocean-gt-atlantic-ocean, ocean-gt-atlantic-ocean-gt-north-atlantic-ocean, ocean-gt-atlantic-ocean-gt-north-atlantic-ocean-gt-gulf-of-mexico, oceans, oceans-gt-ocean-acoustics-gt-acoustic-reflectivity, physical-habitats-and-geomorphology, sea-floor-acoustic-reflectivity, sea-floor-characteristics, seabed, side-scan-sonar, sidescan-sonar, sidescan-sonar-mosaic, sigsbee-escarpment, u-s-geological-survey, usgs, usgs-5bacc027-9598-49d5-849d-d7fee6b0a4b6, whsc, whsc-cruise-identifier-82farn-7, whsc-cruise-identifier-frnl-85-leg-1, whsc-cruise-identifier-frnl-85-leg-2, whsc-cruise-identifier-frnl-85-leg-3, whsc-serial-number-82005, whsc-serial-number-85027, whsc-serial-number-85028, whsc-serial-number-85034, woods-hole-science-center
Organization: Department of the Interior
LANDFIRE 2022 Forest Canopy Bulk Density (CBD) HI

LANDFIRE's (LF) 2022 Canopy Bulk Density (CBD) describes the mass of available canopy fuel per unit canopy volume that would burn in a crown fire. A spatially explicit map of CBD supplies information used in fire behavior models to determine the spread characteristics of active crown fires across the landscape. CBD for disturbed and non-disturbed areas is determined via a general linear model (GLM) relating Canopy Height (CH) and Canopy Cover (CC) to CBD (Reeves et al 2009). In LF 2022, fuel products are created with LF 2016 Remap vegetation in areas that were un-disturbed in the last ten years.  
To designate disturbed areas where CBD is modified, the aggregated Annual Disturbance products from 2013 to 2022 in the Fuel Disturbance (FDist) product are used. All existing disturbances between 2013-2022 are represented in the LF 2022 update, and the products are intended to be used in 2023 (the year of release). The "capable" year terminology used in LF 2020 and LF 2016 Remap is no longer specified, due to reduction in latency from when a disturbance occurs to the release date of fuel products accounting for that disturbance. However, users should still consider adjusting fuel layers for disturbances that occurred after the end of the 2022 fiscal year (after October 1st, 2022) when using the LF 2022 fuel products. Because those changes would not be accounted for. Learn more about LF 2022 at https://landfire.gov/lf_230.php

Tags: biota, canopy-bulk-density, cbd, fires, geographic-information-systems, geospatial-datasets, hawaii, hazard-preparedness, hi, image-collections, imagerybasemapsearthcover, landfire-2022, lf-2022, oconus, raster-digital-data, remote-sensing, u-s-forest-service-usfs, u-s-geological-survey-usgs, united-states, us, usgs-65665e9ad34e3aa43a43fa96
Organization: Department of the Interior
Winter Ranges of Mule Deer in the Jemez Springs Herd in New Mexico

The mule deer (Odocoileus hemionus) of the Jemez Springs herd winter in the southwestern Jemez Mountains, south and east of the town of Jemez Springs. The area has experienced two severe wildfires, the Las Conchas and Thompson Ridge fires, within the last decade, burning a total of 180,555 acres. The data used in this report was collected to examine the responses of mule deer to these wildfires and forest restoration treatments. The winter range is located among the foothills of the Jemez Mountains, consisting primarily of pinyon-juniper woodlands. Individuals migrated an average of 26.1 miles, either to the western edge of the Jemez Mountains, near Blue Bird Mesa, or to the Valles Caldera. The central migration route follows the top of a 1,300 foot escarpment that parallels and eventually crosses NM State Route 4 twice. The summer range is dominated by ponderosa pine and mixed-conifer forests, along with open grasslands in the Valles Caldera. The herd is only partially migratory, as resident individuals are found on the winter range and on Lake Fork Mesa, west of the Caldera. State Route 4 may act as a slight obstacle to migration, as one of the larger stopover sites was located between the two road crossings.  
These data provide the location of winter ranges for Mule Deer from the Jemez Springs Herd in New Mexico. They were developed from fixed motion variance movement models using 35 migration sequences collected from a sample size of 11 adult mule deer comprising GPS locations collected every 5 or 6 hours.

Tags: animal-behavior, health, imagerybasemapsearthcover, jemez-mountains, migration, migration-organisms, migratory-species, new-mexico, united-states, usgs-620e4b3bd34e6c7e83baa3b4
Organization: Department of the Interior
Wind rose plots for the volcano: 222170  Kyejo

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-58d0108ee4b0236b68f528f8, volcanic-ash, volcanic-eruption-forecasting, wind
Organization: Department of the Interior