AndreaBozzo/ceres-open-data-index huggingface dataset:
Compilation of actual evapotranspiration and vegetation indices along critical riparian zones on the Navajo Nation from 2013-2023

These data were compiled for monitoring riparian zone trends and changes in the Navajo Nation as part of a study to document riparian ecosystem health and its water use in support of potential restoration efforts. The objective of our study was to monitor the short and medium-term effects on the riparian vegetation in relation to evapotranspiration changes, drought, and other hydrological processes, along some critical riparian zones in the Navajo Nation. These data represent time series of vegetation greenness and water use for the years 2013 to 2023. These data were collected from the spaceborne mission Landsat 8 which carries the OLI (Operational Land Imager) and TIRS (Thermal Infrared Sensor) sensors for an area within the Navajo Nation in northeastern Arizona. The specific regions of interest were focused on some Culturally Important Riparian Areas (CIRAS), including Buell Park/Black Creek Headwaters, Ganado/Pueblo Colorado Wash, Grand Falls, Oraibi Headwaters, Pasture Canyon, and Tappan Springs. Landsat data are collected and distributed by the U.S. Geological Survey. The acquired imagery was filtered for quality and reprocessed by the Vegetation Index and Phenology Lab at the University of Arizona, to generate vegetation indices and evapotranspiration trends for these riparian corridors. These data summarize the time series over the 11-year study. Three vegetation indices (VIs) are computed and reported: the Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) and the Two-Band Enhanced Vegetation Index (EVI2). NDVI and EVI datasets were taken directly from Landsat products, EVI2 was calculated in the VIP Lab. Time series for daily Actual Evapotranspiration (ETa), in millimeters per day, were estimated from both EVI and EVI2 data using an ET empirical model (Nagler and others, 2013). These data can be used to study the trends in vegetation greenness, productivity, and water use, using VIs and ET respectively. These estimations can be linked to other variables or causes, and used to assess the effect climate change is having in this arid region in the period from 2013 to 2023.

Tags: arizona, biogeography, biota, black-creek, black-creek-headwaters, buell-park, climatologymeteorologyatmosphere, data-release, ecosystem-monitoring, environment, evapotranspiration, ganado-wash, geoscientificinformation, geospatial-datasets, grand-falls, image-collections, imagerybasemapsearthcover, inlandwaters, land-use-and-land-cover, land-use-change, landsat-images, navajo-nation, oraibi-headwaters, oraibi-wash, pasture-canyon, phenology, plant-greenness, precipitation-atmospheric, pueblo-colorado-wash, remediation, remote-sensing, river-ecosystems, seasonal-trends, tappan-spring, time-series-datasets, usgs-67902085d34e28977994d30c, vegetation, water-use, wetland-ecosystems
Organization: Department of the Interior
LANDFIRE 2023 Forest Canopy Cover (CC) HI

LANDFIRE's 2023 Update (LF 2023) Forest Canopy Cover (CC) describes the percent cover of the tree canopy in a stand. CC is a vertical projection of the tree canopy cover onto an imaginary horizontal plane. In fire behavior models, CC supplies information to determine the probability of crown fire initiation, provides input in the spotting model, and aids in calculating wind reductions and fuel moisture conditioning. To create CC, LANDFIRE’s Existing Vegetation Cover (EVC) product must be produced first. EVC is a continuous scaled product which assigns cover to all life forms in the LF data. CC is then derived from EVC by assigning bins of 10% for fuel production and use in fire behavior software. CC is used in the calculation of Forest Canopy Bulk Density (CBD) and Base Height (CBH).  
To designate disturbed areas where CC is modified, the aggregated Annual Disturbance products from 2014 to 2023 in the LF Fuel Disturbance (FDist) product are used. All existing disturbances between 2014-2023 are represented in LF 2023, and the products are intended to be used in 2024 (the year of release).  
When using any product from the LF 2023 fuel product suite, users should consider adjusting fuel layers for disturbances that occurred after the end of the 2023 fiscal year (after October 1st, 2023). Disturbances that occurred after the end of the 2023 fiscal year are not accounted for within LF 2023 fuel products. Learn more about LF 2023 at https://landfire.gov/data/lf2023.

Tags: biota, canopy-cover, cc, fires, geographic-information-systems, geospatial-datasets, hawaii, hazard-preparedness, hi, image-collections, imagerybasemapsearthcover, landfire-2023, lf-2023, oconus, raster-digital-data, remote-sensing, u-s-forest-service-usfs, u-s-geological-survey-usgs, united-states, us, usgs-673bba59d34ee39d4683a724
Organization: Department of the Interior
Uncertainty Model

Bathymetric, topographic, and grain-size data were collected in April 2011 along a 27-mi (43.5 – km) reach of the Colorado River in Grand Canyon National Park, Arizona. The study reach begins at river mile 61.1, about 0.6 -mi (1 –km) above the confluence of the Colorado and Little Colorado Rivers and ends at river mile 88.1 at the upstream boundary of the Bright Angel Rapid (Phantom Ranch boat beach). Channel bathymetry was mapped using multibeam and singlebeam echosounders, subaerial topography was mapped using ground-based total-stations, and bed-sediment grain-size data were collected using an underwater digital microscope system. These data were combined to produce digital elevation models, spatially variable estimates of digital elevation model uncertainty, georeferenced grain-size data, and bed-sediment distribution maps. These data were created by the Southwest Biological Science Center, Grand Canyon Monitoring and Science Center as a component of a larger effort to monitor the status and trends of sand storage along the Colorado River in Grand Canyon National Park. This dataset is a 1-meter resolution elevation uncertainty model generated by fuzzy inference system modeling associated from the 1-meter resolution digital elevation model (DEM_EGC_Apr2011.tif) associated with this data release.

Tags: adaptive-management, arizona, bathymetry, bathymetry-measurement, colorado-river, data-release, diamond-creek, digital-elevation-models, elevation, environment, estuarine-processes, field-inventory-and-monitoring, grain-size-analysis, grand-canyon, grand-canyon-national-park, hillshade, imagerybasemapsearthcover, inlandwaters, lees-ferry, little-colorado-river, marble-canyon, mathematical-modeling, multibeam-sonar, paria-river, remote-sensing, sediment-transport, sedimentation, topographic-maps, topography, uncertainty-model, usgs-678a7e54d34e76fa5e3d6504
Organization: Department of the Interior
LANDFIRE 2023 Fuel Characteristic Classification System (FCCS) HI

LANDFIRE (LF) 2023 Fuel Characteristic Classification System (FCCS) provides a fuelbed classification ID (FCCSID) which when cross walked with tables containing more extensive fuelbed data can be used for predicting surface fire behavior, crown fire potential, and fuel availability. LF defines fuelbed as: the inherent physical characteristics of fuel that contribute to fire behavior and effects (Riccardi et al. 2007). FCCS represents the composition of fuels, and features six horizontal fuel layers called stratums (canopy, shrubs, herbs, downed wood, litter and duff).  
LF collaborated with the Fire and Environmental Research Applications (FERA) team of the USFS Pacific Northwest Research Station for creation of the FCCS product. Rule-based methods for crosswalks and mapping FCCS fuelbeds are constructed from the LF 2023 Existing Vegetation Type (EVT) product. The EVT-to-fuelbed crosswalk rules often allow for several possibilities for fuelbeds; expert opinion is used to assign the most representative fuelbed and to determine where additional fuelbed development is necessary. FCCS fuelbeds are included preloaded in the US Forest Service (USFS) Fuel and Fire Tools (FFT) application. FCCS fuelbed mapping should be considered a starting point and customized to represent sampled fuels within a project area.

Tags: biota, fccs, fires, fuel-characteristic-classification-system, geographic-information-systems, geospatial-datasets, hawaii, hazard-preparedness, hi, image-collections, imagerybasemapsearthcover, landfire-2023, lf-2023, oconus, raster-digital-data, remote-sensing, u-s-geological-survey-usgs, united-states, us, usgs-673b9f3ad34e689449dca9ad
Organization: Department of the Interior
Digital Elevation Model

Bathymetric, topographic, and grain-size data were collected in April 2011 along a 27-mi (43.5 – km) reach of the Colorado River in Grand Canyon National Park, Arizona. The study reach begins at river mile 61.1, about 0.6 -mi (1 –km) above the confluence of the Colorado and Little Colorado Rivers and ends at river mile 88.1 at the upstream boundary of the Bright Angel Rapid (Phantom Ranch boat beach). Channel bathymetry was mapped using multibeam and singlebeam echosounders, subaerial topography was mapped using ground-based total-stations, and bed-sediment grain-size data were collected using an underwater digital microscope system. These data were combined to produce digital elevation models, spatially variable estimates of digital elevation model uncertainty, georeferenced grain-size data, and bed-sediment distribution maps. These data were collected by the Southwest Biological Science Center, Grand Canyon Monitoring and Science Center as a component of a larger effort to monitor the status and trends of sand storage along the Colorado River in Grand Canyon National Park. This dataset is a 1-meter resolution digital elevation model.

Tags: adaptive-management, arizona, bathymetry, bathymetry-measurement, colorado-river, data-release, diamond-creek, digital-elevation-models, elevation, environment, estuarine-processes, field-inventory-and-monitoring, grain-size-analysis, grand-canyon, grand-canyon-national-park, hillshade, imagerybasemapsearthcover, inlandwaters, lees-ferry, little-colorado-river, marble-canyon, mathematical-modeling, multibeam-sonar, paria-river, remote-sensing, sediment-transport, sedimentation, topographic-maps, topography, uncertainty-model, usgs-678a7d53d34e76fa5e3d643a
Organization: Department of the Interior
LANDFIRE Preliminary Annual Disturbance HI 2023

The LANDFIRE Preliminary Annual Disturbance (PDist)23 product is a new product introduced with the LF 2023 Update (LF 2023). While LDist23 is a first "draft", PDist23 is akin to a second “draft” of the LANDFIRE Annual Disturbance product and includes disturbance events captured through October 31, 2023. PDist23 is releasing for these extents throughout the calendar year 2024: Conterminous United States (CONUS), Alaska (AK), Hawaii (HI), and Puerto Rico and the US Virgin Islands (PRVI). See the LF 2023 page for more information as this page will be added to as more details are available https://landfire.gov/data/lf2023.  
Preliminary Annual Disturbance (PDist23) was created with Landsat imagery, submitted disturbance events from the data call, and online fire program data collected on or before October 31, 2023. Unlike the Limited Annual Disturbance (LDist23) product released earlier in calendar year 2024, PDist23 includes remotely sensed severity for submitted events and unknown disturbances where change was detected.

Tags: annual-disturbance, biota, fires, geographic-information-systems, geospatial-datasets, hawaii, hazard-preparedness, hi, image-collections, imagerybasemapsearthcover, landfire-2023, lf-2023, pdist, preliminary-annual-disturbance-2023, raster-digital-data, remote-sensing, u-s-forest-service-usfs, u-s-geological-survey-usgs, united-states, us, usgs-673bb826d34ee39d4683a6fe, yearly-disturbance
Organization: Department of the Interior
Bed Sediment Classification

Bathymetric, topographic, and grain-size data were collected in April 2011 along a 27-mi (43.5 – km) reach of the Colorado River in Grand Canyon National Park, Arizona. The study reach begins at river mile 61.1, about 0.6 -mi (1 –km) above the confluence of the Colorado and Little Colorado Rivers and ends at river mile 88.1 at the upstream boundary of the Bright Angel Rapid (Phantom Ranch boat beach). Channel bathymetry was mapped using multibeam and singlebeam echosounders, subaerial topography was mapped using ground-based total-stations, and bed-sediment grain-size data were collected using an underwater digital microscope system. These data were combined to produce digital elevation models, spatially variable estimates of digital elevation model uncertainty, georeferenced grain-size data, and bed-sediment distribution maps. These data were collected by the Southwest Biological Science Center, Grand Canyon Monitoring and Science Center as a component of a larger effort to monitor the status and trends of sand storage along the Colorado River in Grand Canyon National Park. This dataset is the bed sediment classification derived from multibeam sonar surveys.

Tags: adaptive-management, arizona, bathymetry, bathymetry-measurement, colorado-river, data-release, diamond-creek, digital-elevation-models, elevation, environment, estuarine-processes, field-inventory-and-monitoring, grain-size-analysis, grand-canyon, grand-canyon-national-park, hillshade, imagerybasemapsearthcover, inlandwaters, lees-ferry, little-colorado-river, marble-canyon, mathematical-modeling, multibeam-sonar, paria-river, remote-sensing, sediment-transport, sedimentation, topographic-maps, topography, uncertainty-model, usgs-678a7cbfd34e76fa5e3d63c5
Organization: Department of the Interior
Data on the Deterioration of Different Types of Attachment Hardware on Sham Satellite Radio Collars

Polar bears (Ursus maritimus) are difficult to study because of logistical challenges. Satellite radio collars are an excellent tool for efficiently collecting information on the distribution and habitat use of polar bears because they can be deployed for multiple years. Radio collars can be constructed using materials and devices that result in the collar falling off an animal so that the animal does not retain a non-functional collar indefinitely. However, the performance of "drop-off" materials and devices has been sub-optimal for many years. For example, collar release timer units (RTU), which cause the collar to detach from an animal at a pre-programmed point in time, can fail to function. Similarly, collar materials can fail to degrade in a timely manner based on environmental conditions specific to a study area. The retention of non-functional satellite radio collars is an animal welfare concern and thus warranted an investigation into opportunities to improve the reliability of collar materials and devices. This data set contains three tables with data on the: (1) tensile strength of a re-designed RTU on satellite radio collar belting material to determine its ability to resist fracture and deformation, processes that could facilitate water intrusion from force exerted on a collar by a polar bear, (2) degradation rates of biodegradable hardware that can be used to attach satellite radio collars, and (3) observations of wear in collar belting material and parts.

Tags: animals-vertebrates, bears, biota, carnivores, coastal-ecosystems, collars, environment, mammals, marine-ecosystems, marine-mammals, plant-and-animal-tagging, polar-bears, tagging-devices, ursus-maritimus, usgs-6789eb84d34e5551112184d4, wildlife
Organization: Department of the Interior
MODFLOW 6 and MODPATH 7 model data sets used for the update of the groundwater-flow model for the Great Miami Buried Valley Aquifer in the vicinity of Wright-Patterson Air Force Base near Dayton, Ohio

A previously constructed numerical model (https://pubs.usgs.gov/pp/2007/1737a/) simulating 
the regional groundwater-flow system in the vicinity of the Wright-Patterson Air Force Base 
(WPAFB) near Dayton, Ohio, was updated to incorporate current hydrologic stresses and 
conditions and improve the usefulness of the model for water-supply planning and protection. 
The Great Miami Buried Valley Aquifer was designated a sole-source aquifer in 1988 and 
provides the supply for the substantial water use needs in the Dayton area.  Hydrogeologic 
investigations of groundwater flow in the nearby WPAFB have been ongoing since the early 
1990s, when the USGS first partnered with WPAFB to model groundwater flow near the Base 
in an effort to identify and control migration of environmental contamination that may have 
resulted from past disposal practices. Effective source water protection strategies depend on 
an up-to-date delineation of the areas that contribute groundwater to withdrawal sites that rely 
on the Great Miami Buried Valley Aquifer. The original model, which used MODFLOW-2000 to 
simulate average steady-state conditions from 1997 to 2001, was reconstructed and converted 
to use MODFLOW 6 groundwater modeling software and recalibrated to represent average 
groundwater flow conditions for October 2018. The steady-state, three-dimensional, three-layer 
MODFLOW 6 model of the aquifer, in conjunction with the particle-tracking program MODPATH7, 
was used to generate time-of-travel flow paths for groundwater particles in three scenarios: 
(1) backtracking particles intercepted by thirteen existing groundwater withdrawal sites servicing 
WPAFB, (2) backtracking particles intercepted by eight prospective groundwater withdrawal sites, 
and (3) forward tracking particles released at eight potential locations near WPAFB. This USGS 
data release contains all the input and output files for the simulations described in the associated 
model documentation report (https://doi.org/10.3133/sir20215115)

Tags: city-of-dayton, contributing-area, dayton, environment, geoscientificinformation, greene-county, groundwater, groundwater-model, inlandwaters, modflow-6, modpath-7, montgomery-county, ohio, particle-tracking, pest, usgs-673e944a-f8ef-4eb7-808e-bed978efca76, usgsgroundwatermodel, wright-patterson-air-force-base
Organization: Department of the Interior
Southwestern Willow Flycatcher (Empidonax traillii extimus) surveys and nest monitoring in San Diego County, California, 2024

Data presented are results of surveys and monitoring in 2024 for Southwestern Willow Flycatcher (Empidonax traillii extimus) in San Diego County, California. Surveys were conducted at two locations along the middle San Luis Rey River (Bonsall and Rincon), and four locations along the upper San Luis Rey River (Cleveland National Forest, Rey River Ranch, Vista Irrigation District, and VID Lake Henshaw), and nest monitoring was conducted at Lake Henshaw. Surveys were conducted along multiple sections of the river where permission to access properties could be obtained. Locations were surveyed using a standardized protocol three to four times between 15 May and 31 July. The number, age (adult or juvenile), sex, banding status (color banded or not, and if so, color combination), and breeding status (paired, undetermined, or transient) of all willow flycatchers was recorded. The goal of nest monitoring was to collect baseline data on annual productivity, nest success, and parasitism rate. Monitored territories were visited weekly from May to August.

Tags: biota, birds, endangered-species, habitats, population-and-community-ecology, riparian-habitats, san-diego, san-luis-rey-river, survey, survival, usgs-67880cf0d34e60ddd4de2aa6
Organization: Department of the Interior
Shotpoint navigation (60 shot interval) for lines 1-5 of USGS GYRE cruise 99002 (L1_5SP.SHP)

This GIS overlay is a component of the U.S. Geological Survey, Woods Hole Science Center's, Gulf of Mexico GIS database.  The Gulf of Mexico GIS database is intended to organize and display USGS held data and provide on-line (WWW) access to the data and/or metadata.
A two week cruise aboard the R/V GYRE focused on mapping surficial sedimentary processes and their connection to the subsurface geology.  The study area was on the upper continental slope in the northwestern Gulf of Mexico; an area of active hydrocarbon exploration. Active salt movement, hydrocarbon movement up faults, the presence of gas hydrates associated with biogenic and thermogenic methane, and overpressured sand deposits all present hazards to oil exploration in this area.  This study used sidescan sonar and high-resolution chirp subbottom profiling techniques to map the surficial and shallow subsurface expression of these processes in two areas roughly 15 by 25 km in size.  High-resolution multi-channel seismic-reflection data were collected simultaneously with the sidescan imagery to provide a link to the deeper subsurface. Additional multi-channel and Huntec seismic data were collected along regional lines between the detailed study areas to tie these studies to other areas of known hydrates and to wells where shallow overpressured sands have been drilled.
The detailed studies attempted to map entire geological systems in this upper slope environment to provide a broader perspective than can be seen from studying a single lease block.  One study area focused on two adjacent salt withdrawal basins to assess the processes that are shaping the flanks of the basins, the processes affecting sedimentation in the basin floors, and to compare the deeper structures and surficial processes between the basins.  The second study area focused on three salt domes, the processes associated with them, and how they affect the shallow subsurface stratigraphy. Initial observations suggest that most of the surface and shallow subsurface geohazards are associated with the flanks of salt structures. Here active salt movement generates faults along which hydrocarbons can escape to the seafloor, and tectonic oversteepenning generates slope failures.

Tags: chirp, cmgp, coastal-and-marine-geology-program, continental-slope, datasonics-sis-1000, geoscientificinformation, geospatial-datasets, gulf-of-mexico, information-archives-field-activity-99002, location, louisiana-continental-slope, marine-geophysics, navigation, navigational-data, oceans, point-shapefile, seg-y, seismic-reflection, u-s-geological-survey, usgs, usgs-6748bb00-f51f-4b79-942f-685251feca1e, woods-hole-science-center
Organization: Department of the Interior
Lake Erie Fish Community Data, 2013-2024

Assessing the distribution and abundance of both predator and prey (forage) fish species is a cornerstone of ecosystem-based fishery management and supports decision making that considers food-web interactions. In support of binational Great Lakes fishery management, the objectives of this survey were to: provide estimates of densities of key forage and predator species in the western basin of Lake Erie, to assess seasonal and spatial distributions of fishes in tandem with water quality information, and to assess year class strength. A systematic grid sampling approach with 41 stations was sampled via bottom trawl during June (Spring) and September (Autumn), starting in 2013. This data release adds 2024 data to the set for a total of twelve years observation using the same gear and sampling design.

Tags: biota, bottom-trawl-survey, field-sampling, freshwater-ecosystems, lake-erie, michigan, ohio, ontario, population-dynamics, usgs-6786bf75d34e60ddd4de2095
Organization: Department of the Interior