AndreaBozzo/ceres-open-data-index huggingface dataset:
BlazeVideo images of a ripple field in Grand Falls Dune Field, Arizona, from April 2023 to July 2023.

Our goal for this work is to place better constraints on aeolian atmospheric-surface interactions through long-term monitoring of an active, bi-modal dune field located near Grand Falls, Arizona. This dune field has been monitored since 2013 by the USGS, and data from each collection year are released as USGS Data Release products. Data described here is the imagery component, which includes time-stamp images from three cameras and camera information (height of camera from ground surface, azimuth, and angle of camera relative to the ground surface).
Our instruments are set up near an active ripple field in the Grand Falls Dune Field. The instrument array includes a meteorological weather station that records temperature, barometric pressure, relative humidity, wind direction, wind speed, solar radiation, and precipitation every 15 minutes, three BlazeVideo cameras situated surrounding the ripple field that take images every 10 minutes to capture ripple migration, and a suite of passive sediment catchers. In addition to the deployed instruments, each time we visit the field site we also image the ripple field using a Nikon D750 (35 mm) camera. This data is processed using the software Agisoft Metashape Professional to create digital elevation models of the ripple field.

Tags: arizona, atmospheric-and-climatic-processes, blaze-video-cameras, climatologymeteorologyatmosphere, dune-field, field-inventory-and-monitoring, field-monitoring-stations, geoscientificinformation, grand-falls, imagerybasemapsearthcover, navajo-indian-reservation, ripple-migration, time-sequence-images, usgs-662aa504d34ea70bd5f0b2de
Organization: Department of the Interior
U.S. Geological Survey Wastewater Diffuser Survey in Cedar Falls

These data represent a Global Positioning System (GPS) survey generated using a Trimble R10 Real-Time Kinematic (RTK) and Global Navigation Satellite Systems (GNSS). The Ssurvey extends along the Cedar River streambed in Cedar Falls, Iowa, where a wastewater treatment diffuser pipe is installed. Cross-sectional representations were produced to depict stream depth and streambed elevation. Cross-sectional data should be interpreted from a downstream perspective.

Tags: cedarfalls, diffuser, geoscientificinformation, inlandwaters, usgs-662aa49dd34ea70bd5f0b2b0, wastewater
Organization: Department of the Interior
Bathymetric data and grid of offshore Marconi Beach, Wellfleet, MA on April 23, 2024

The data in this release re-map the beach and nearshore environment at Marconi Beach in Wellfleet, MA and provide updated environmental context for the 2021 CoastCam installation that looks out at the coast shared by beachgoers, shorebirds, seals, and sharks. This is related to the field activity 2024-016-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 two video cameras aimed at the beach (CoastCam CACO-02). In March and April 2024, U.S. Geological Survey and Woods Hole Oceanographic Institution (WHOI) scientists conducted field surveys to collect topographic and bathymetric data. A camera (Ricoh GRII) attached to a helium filled balloon-kite (Helikite) took images of the beach for use in structure-from-motion. High-precision GPS targets (AeroPoints V2) 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. 2.1.0) 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, location, marconi-beach, massachusetts, national-seashore, oceans, remote-sensing, single-beam-echo-sounder, u-s-geological-survey, united-states, usgs, usgs-662a9b88d34ea70bd5f0af2b, wellfleet, whcmsc, whoi, woods-hole-coastal-and-marine-science-center, woods-hole-oceanographic-institution, yellowfin
Organization: Department of the Interior
Structure from motion GCPs, digital surface model, and orthomosaic representing Marconi Beach, Wellfleet, MA on March 22, 2024

The data in this release re-map the beach and nearshore environment at Marconi Beach in Wellfleet, MA and provide updated environmental context for the 2021 CoastCam installation that looks out at the coast shared by beachgoers, shorebirds, seals, and sharks. This is related to the field activity 2024-016-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 two video cameras aimed at the beach (CoastCam CACO-02). In March and April 2024, U.S. Geological Survey and Woods Hole Oceanographic Institution (WHOI) scientists conducted field surveys to collect topographic and bathymetric data. A camera (Ricoh GRII) attached to a helium filled balloon-kite (Helikite) took images of the beach for use in structure from motion. High-precision GPS targets (AeroPoints V2) 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. 2.1.0) was used to create a digital surface model and orthomosaic with the collected imagery.

Tags: aerial-and-satellite-photography, aeropoint, agisoft-metashape, cape-cod, cmhrp, coastal-and-marine-hazards-and-resources-program, digital-elevation-models, elevation, geoscientificinformation, geospatial-datasets, gps-measurement, helikite, image-mosaics, location, marconi-beach, massachusetts, oceans, remote-sensing, shoreline, structure-from-motion, u-s-geological-survey, united-states, usgs, usgs-662a9b7cd34ea70bd5f0af25, wellfleet, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Low-altitude aerial imagery collected from a Helikite at Marconi Beach, Wellfleet, MA on March 22, 2024

The data in this release re-map the beach and nearshore environment at Marconi Beach in Wellfleet, MA and provide updated environmental context for the 2021 CoastCam installation that looks out at the coast shared by beachgoers, shorebirds, seals, and sharks. This is related to the field activity 2024-016-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 two video cameras aimed at the beach (CoastCam CACO-02). In March and April 2024, U.S. Geological Survey and Woods Hole Oceanographic Institution (WHOI) scientists conducted field surveys to collect topographic and bathymetric data. A camera (Ricoh GRII) attached to a helium filled balloon-kite (Helikite) took images of the beach for use in structure-from-motion. High-precision GPS targets (AeroPoints V2) 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. 2.1.0) was used to create a digital surface model and orthomosaic with the collected imagery.

Tags: 3-band-imagery, aerial-and-satellite-photography, aerial-imagery, cape-cod, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-processes, geoscientificinformation, geospatial-datasets, geotagged-photos, helikite, image-collections, jpeg, location, low-altitude-aerial-imagery, marconi-beach, massachusetts, oceans, photography, remote-sensing, shoreline, shoreline-photographs, structure-from-motion, u-s-geological-survey, uas, united-states, usgs, usgs-662a9b6ed34ea70bd5f0af1d, wellfleet, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Landslide Inventory for Kosrae, Federated States of Micronesia (FSM) 2005 - 2023

Landslides hazards pose a serious threat to people and infrastructure in the Federated States of Micronesia (FSM). To develop a comprehensive understanding of the landslides hazards in FSM, the USGS-USAID Landslide Disaster Assistance Team (LDAT) has put together landslide inventories for each state using satellite imagery. 
Mapping was done using RGB satellite imagery from Maxar, Planet Labs, and Google Earth. This inventory is for Kosrae state and covers all available imagery between January 2005 and October 2023. Landslides are dated by a window of occurrence based on the last images before and first image after the occurrence of the landslide. Each event was mapped using a point at the center of the headscarp (points_Kos), and, when possible, affected area polygons (area_Kos), runout lines (runout_Kos), and headscarp lines (headscarp_Kos). Due to the dense vegetation, frequent cloud cover, and poor spatial and temporal resolution of available imagery, it was difficult to map headscarps and runouts for every event. However, headscarp width and runout distance are mapped where possible. The attribute table for points_Kos, contains a visual-based classification of the land use and vegetation, as well as if the event affected streams, buildings, or utilities (for example, roads). Each event is also labeled with a level of confidence for occurrence and location.
Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.

Tags: bha, federated-states-of-micronesia, geoscientificinformation, kosrae, landslide-disaster-assistance-team, landslide-hazards-program, landslide-inventory, landslide-mapping, ldat, usaid, usgs, usgs-6629d671d34ea70bd5f0979f
Organization: Department of the Interior
Airborne Magnetic and Radiometric Survey, Colorado Mineral Belt, Southwest Block, 2023

This data release provides digital flight-line and gridded data for a high-resolution airborne magnetic and radiometric survey over the southwestern portion of the Colorado Mineral Belt, southwestern Colorado. The Colorado Mineral Belt is a broad, northeast-southwest trending alignment of historic mining districts that have produced multiple types of commodities, including critical minerals that are vital to the Nation's security and economy. The survey was acquired as part of the UGSS Earth Mapping Resource Initiative (Earth MRI) to improve our understanding of the fundamental geologic framework underpinning the Colorado Mineral Belt. This release covers the southwestern portion of the belt (southwest block), which includes a wide swath from the Gunnison and San Juan mining districts on the northeast to the La Plata mining district on the southwest, including parts of Chaffee, Gunnison, Saguache, Hinsdale, Mineral, Ouray, San Miguel, San Juan, Dolores, Montezuma, and La Plata Counties. Previous reports have identified several critical minerals in this region, including aluminum, antimony, fluorspar, manganese, tungsten, vanadium, and zinc.
Data for this survey were acquired by NV5 Geospatial, Inc. and is sub-contractors Precision GeoSurveys, Inc. and EDCON-PRJ, Inc under contract with the USGS. The survey was flown in September and October of 2023 using a helicopter equipped with a magnetometer mounted in a stinger extending from the nose of the aircraft and a gamma-ray spectrometer stowed onboard. The helicopter pilots followed pre-planned flight paths in a grid-like pattern, with north-south lines spaced 200 meters apart and east-west lines spaced 1,000 meters apart. Lines were flown 100 meters above ground as much as possible to maximize detection of gamma-rays and resolve details of the magnetic field. This clearance could be realized in areas of low relief but higher clearances, as much as 200-500 meters, were required over rugged terrain and populated areas for safety reasons. Areas with restricted airspace, such as Wilderness Areas, were avoided. A total of 28,472 linear kilometers of data were collected along the lines, covering a 4,719 square-kilometer irregular area. EDCON-PRJ performed extensive data processing after completion of flying and delivered the final data and report in April 2024.

Tags: aasg, aeromagnetic-survey, aeroradiometric-survey, airborne-geophysical-survey, association-of-state-geologists, colorado, colorado-mineral-belt, creede, delores, durango, earth-mapping-resources-initiative, earthmri, economic-geology, geology-geophysics-and-geochemistry-science-center, geophysics, geospatial-datasets, gggsc, hinsdale, lake-city, laplata, magnetic-field-earth, mineral, mineral-resources, mineral-resources-program, montezuma, mrp, national-cooperative-geologic-mapping-program, ouray, potassium, san-juan, san-miguel, sedimentology, silverton, structural-geology, telluride, thorium, u-s-geological-survey, united-states, united-states-of-america, uranium, usa, usgs, usgs-662999ccd34ea70bd5f087aa
Organization: Department of the Interior
Tree ring dataset for a regional avalanche chronology in Colorado 1319-2022

This dataset includes processed tree ring data from avalanche paths throughout Colorado, USA. The data were processed in three distinct phases that resulted in this dataset: collection, processing, and avalanche signal analysis. This dataset consists of samples from 1188 cross-sections and increment cores from 1023 individual trees within 24 avalanche paths across the region. From these samples 4135 probable avalanche related growth disturbances were identified.

Tags: avalanche, biota, climatology, climatologymeteorologyatmosphere, landscape-disturbance, tree-ring-analysis, usgs-66296363d34ea70bd5f08234
Organization: Department of the Interior
Nitrogen, phosphorus, and suspended-sediment loads and trends measured at the Chesapeake Bay River Input Monitoring stations: Water years 1985-2023

Nitrogen, phosphorus, and suspended-sediment loads, and changes in loads, in major rivers across the Chesapeake Bay watershed have been calculated using monitoring data from the Chesapeake Bay River Input Monitoring (RIM) Network stations for the period 1985 through 2023. Nutrient and suspended-sediment loads and changes in loads were determined by applying a weighted regression approach called WRTDS (Weighted Regression on  Time, Discharge, and Season). The load results represent the total mass of nitrogen, phosphorus, and suspended sediment that was exported from each of the RIM watersheds and were estimated using the WRTDS method with Kalman filtering. To determine the trend in loads, the annual load results are flow normalized to integrate out the year-to-year variability in river discharge. The trend in load is derived from the flow-normalized load timeseries and represents the change in load resulting from changes in sources, delays associated with storage or transport of historical inputs, and (or) implemented management actions. Four data tables are provided that describe nitrogen, phosphorus, and suspended-sediment conditions across the RIM: (1) Annual Loads, (2) Monthly Loads, (3) Trends in Annual Loads, and (4) Average Yield (mass per unit area). Additionally, essential WRTDS Input and Output files are provided.

Tags: chesapeake-bay-watershed, delaware, kalman-filtering, load-analysis, maryland, new-york, nitrogen, nutrients, pennsylvania, phosphorus, rivers, suspended-sediment, trends, united-states, usgs-66294ad4d34ea70bd5f0791d, virginia, washington-dc, water-quality, weighted-regression, west-virginia, wrtds, wrtds-k
Organization: Department of the Interior
Data Release for Luminescence: Tyndall Air Force Base, Panama City, Florida estuarine sediment cores

As part of the Coastal Sediment Availability and Flux and Defense Advanced Research Protection Agency (DARPA) Reefense projects, scientists from the U.S. Geological Survey (USGS) and St. Petersburg Coastal and Marine Science Center (SPCMSC) conducted a nearshore geophysical survey to map and characterize the stratigraphy of back-barrier bays near Panama City, Florida (FL) in June 2022. This data release serves as an archive of sediment vibracores collected from St. Andrew Bay, April 23–27, 2023. Sediment vibracore and lithology data provide assessments on the composition and age of sediments below the seafloor. This information can provide information about sub-seafloor structure that can inform the siting and assess the stability of artificial and natural oyster reef structures that will be placed on the seafloor during the Reefense project’s later phases.

Tags: age-estimation-methods, florida, geochronology, luminescence-dating, optically-stimulated-luminescence, panama-city, radiation-dosimetry, st-andrew-bay, st-petersburg-coastal-and-marine-science-center, tyndall-air-force-base, usgs-662805a9d34ea70bd5f03e70
Organization: Department of the Interior
FLOwPER Database: StreamFLOw PERmanence field observations, Jan 2021 - Dec 2021

IMPORTANT NOTE: This dataset includes spatial locations where streamflow permanence observations (continuous flow, discontinuous flow, and dry) were recorded using the FLOwPER (FLOw PERmanence) field survey available in the Survey 123. Additional information to describe the field conditions are included as part of the survey. Field observations in the FLOwPER Database have not been processed for quality control including spatial data accuracy or association with a stream network such as the National Hydrography Dataset. Streamflow permanence observations are collected from several governmental and non-governmental organizations on a continuing basis. This data release is formatted as a shapefile that includes streamflow permanence observations with associated information. Photographs associated with FLOwPER data points are included. The spatial extent of this dataset is the western United States and includes the following states: Oregon, Washington, Idaho, Nevada, and California.

Tags: california, environment, ephemeral, headwaters, hydrographic-datasets, idaho, inlandwaters, intermittent, nevada, oregon, pacific-northwest, perennial, river-systems, streamflow, streamflow-permanence, streams, usgs-6627e820d34ea70bd5f033f9, washington
Organization: Department of the Interior
Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2024 (ver. 2.0, April 2024)

These datasets provide early estimates of 2024 fractional cover for exotic annual grass (EAG) species and one native perennial grass species on a weekly basis from April to late June. Typically, the EAG estimates are publicly released within 7-13 days of the latest satellite observation used for that version. Each weekly release contains five fractional cover maps along with their corresponding confidence maps for: 1) a group of 16 species of EAGs, 2) cheatgrass (Bromus tectorum); 3) Field Brome (Bromus arvensis); 4) medusahead (Taeniatherum caput-medusae); and 5) Sandberg bluegrass (Poa secunda). These datasets were generated leveraging field observations from Bureau of Land Management (BLM) Assessment, Inventory, and Monitoring (AIM) data plots; Harmonized Landsat and Sentinel-2 (HLS) based Normalized Difference Vegetation Index (NDVI); other relevant environmental, vegetation, remotely sensed, and geophysical drivers; and artificial intelligence/machine learning techniques. A total of 38,242 AIM plots from years 2016–2023 were used to train an ensemble of five-fold regression-tree models using a cross-validation approach (each observation was used as test data once and as training data four times) that developed all the fractional cover maps. The geographic coverage includes arid and semi-arid rangelands in the western U.S classified as shrubs or grassland/herbaceous by the 2021 National Land Cover Database at or below 2350-m elevation.
Note:
Maps of April 19th, 2024, were developed using satellite observation data no later than April 12.
Maps of April 29th, 2024, were developed using satellite observation data no later than April 21.
Releases: 
First Release: April 19, 2024 (ver. 1.0)
Revised: April 29, 2024 (ver. 2.0)

Tags: annual-grass, annual-herbaceous, arizona, california, cheatgrass, colorado, exotic, field-brome, great-basin, harmonized-landsat-sentinel, idaho, invasive-species, kansas, medusahead, montana, ndvi, nebraska, nevada, new-mexico, nonindigenous-species, north-dakota, noxious, oklahoma, oregon, perennial-grass, poa-secunda, red-brome, remote-sensing, rye-brome, sagebrush, soft-brome, south-dakota, texas, texas-brome, united-states, usgs-6627c4d3d34ea70bd5f01f3a, utah, washington, western-united-states, wyoming
Organization: Department of the Interior
Grade and tonnage data for tungsten vein and greisen deposits

Tungsten is a mineral commodity critical for national security and the economy. Vein and greisen deposits host wolframite, a tungsten ore mineral that accounts for a significant portion of global mine production and resources. This data release contains updated resource information for globally distributed deposits that underpin grade and tonnage modeling efforts.

Tags: australia, austria, bolivia, brazil, canada, china, czechia, france, geoscientificinformation, india, japan, kazakhstan, mexico, mineral-resources, mongolia, peru, portugal, spain, tungsten, united-kingdom, usgs-6627bffed34ea70bd5f01b00, zimbabwe
Organization: Department of the Interior
Indiana Dunes National Park Volume 1 (2019)

This volume's release consists of 26141 media files captured by autonomous wildlife monitoring devices under the project, Indiana Dunes National Park.  The attached files listed below include several CSV files that provide information about the data release.   The file, "media.csv" provides the metadata about the media, such as filename and date/time of capture.   The actual media files are housed within folders under the volume's "child items" as compressed files.   A critical CSV file is "dictionary.csv", which describes  each  CSV file, including field names, data types, descriptions, and the relationship of each field to fields other CSV files.    Some of the media files may have been "tagged" or "annotated" by either humans or by machine learning models,  identifying wildlife targets within the media.  If so, this information is stored in  "annotations.csv" and "modeloutputs.csv", respectively.   To protect privacy, all personally identifiable information (PII) have been removed, locations have been "blurred" by bounding boxes, and media featuring sensitive taxa or humans have been omitted.   To enhance data reuse, the sbRehydrate() function in the AMMonitor R package will download files and re-create the original AMMonitor project (database + media files).  See source code at https://code.usgs.gov/vtcfwru/ammonitor.

Tags: acoustic-wildlife-monitoring, amber, ammonitor, animal-tracking, biota, coyote, ecosystem-monitoring, environment, field-inventory-and-monitoring, indiana, lake-michigan, porter-county, raccoon, red-fox, time-series-datasets, usgs-6627baa0d34ea70bd5f0161b, vertebrates, white-tailed-deer, wildlife, wildlife-biology
Organization: Department of the Interior