AndreaBozzo/ceres-open-data-index huggingface dataset:
Intersects for the Southern California coastal region generated to calculate shoreline change rates using the Digital Shoreline Analysis System version 5.0

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 as part of the Coastal Change Hazards programmatic focus, formerly 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 this national scale 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.
In this release, three new tidal datum-based mean high water (MHW) shorelines extracted from 2009/2010/2011, 2015, and 2016 lidar elevation data are included in the analysis (coverage not necessarily continuous statewide).  The full range of shoreline data is 1852 to 2016.  The proxy-datum bias correction has been applied on a transect-by-transect basis to reconcile offsets between the MHW shorelines and proxy-based HWL shorelines for the entire California coastal region which is divided into three subregions:  Northern California (NorCal), Central California (CenCal), and Southern California (SoCal).  In the previous report (Hapke et al., 2006), the proxy-datum bias correction was only applied to regional shoreline averages.
This shoreline change update for California reports proxy-datum bias corrected rates when that information was computed while extracting shoreline positions from lidar data.  In areas where the methods for delineating shorelines did not include computing bias correction values, the rates are reported without that correction. The proxy-datum bias concept is explained further in Ruggiero and List (2009) and in the process steps of the metadata file associated with the transect rates.

Tags: california, cencal, central-california, cmgp, coastal-and-marine-geology-program, coastal-processes, digital-shoreline-analysis-system, dsas, environment, geoscientificinformation, geospatial-datasets, intersect-points, intersects, norcal, north-america, northern-california, oceans, pacific-coast, shoreline, shoreline-change, socal, southern-california, u-s-geological-survey, united-states, usgs, usgs-64adda38d34e70357a29327d, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Investigating Detection and Roadside Bias in Surveys of Grassland Birds in the Northern Great Plains, ND 2015, MT 2017-2018

A biologist and field crew from Northern Prairie Wildlife Research Center visited sites nine times throughout the breeding season (late May to mid-July) to record counts of grassland birds.  Surveyors applied North American Breeding Bird Survey methodology to obtain counts at On-, Near-, and Off-road Stops, but unlike the North American Breeding Bird Survey, which features a single survey at each site, three replicate surveys were conducted on back-to-back-to-back days during each survey period to facilitate estimation of detection and occupancy probabilities.  Assignment of surveyors to individual sites followed a design protocol that allows observer effects to also be estimated.  The biologist visited each site once during the breeding season to record locations and characteristics of fine-grained habitat features such as presence of fences, utility lines, and other man-made and natural perches. The database includes detections of focal species of grassland birds and records of presence/absence and number of birds present based on visual and aural cues within a 100-m buffer around each survey point.

Tags: biota, birds, detection-probability, land-ownership, migratory-species, montana, native-species, north-american-breeding-bird-survey, north-dakota, observer-effect, occupancy-probability, phillips-county, relative-abundance, roadside-bias, songbirds, stutsman-county, usgs-64a6e867d34ef77fcb063e20, valley-county
Organization: Department of the Interior
MODFLOW models for the simulation of groundwater-flow dynamics in the U.S. Northern High Plains driven by multi-model estimates of surficial aquifer recharge.

There is a growing interest in incorporating higher-resolution groundwater modeling within the framework of large-scale land surface models (LSMs), including new processes such as three-dimensional flow, variable soil saturation, and surface water/groundwater interactions.  Conversely, complex groundwater models (e.g., the U.S. Geological Survey Groundwater-Flow Model, MODFLOW) often use simpler representations of land surface dynamics (e.g., surface vegetation, evapotranspiration, recharge) and may benefit from higher process fidelity and temporal resolutions in these inputs. This Data Release includes the model inputs used for the MODFLOW 6 models developed for the simulation of groundwater-flow dynamics in the U.S. Northern High Plains using recharge from four different Land Surface Models. Each model included the same MODFLOW 6 groundwater-flow model of the Northern High Plains aquifer which simulated transient recharge, irrigation pumping, groundwater evapotranspiration, changes in groundwater storage, routing of base flow through stream networks for irrigation and non-irrigation time periods from 1979 through 2015. The only difference in each groundwater-flow model is the source of recharge which came from the following Land Surface Models: (1 USGS Soil-Water-Balance (SWB), (2), coupled Weather Research and Forecasting (WRF) and Noah-MP, (3) U.S. National 122 Oceanic and Atmospheric Administration (NOAA) National Water Model (NWM) configuration 123 of the WRF-Hydro, and (4) the Community Land Model.

Tags: climatologymeteorologyatmosphere, environment, geoscientificinformation, groundwater, groundwater-and-surface-water-interaction, groundwater-flow, hydrogeology, mathematical-modeling, streamflow, usgs-64a705f0d34ef77fcb063ede, water-budget
Organization: Department of the Interior
Seepage-run discharge measurements, January 19, 2022, South Halawa Stream, North Halawa Stream, and Halawa Stream, Oahu, Hawaii

This data release contains a comma-delimited ascii file of five same-day, discrete discharge measurements made at sites along selected reaches of South Halawa Stream, North Halawa Stream, and Halawa Stream, Oahu, Hawaii on January 19, 2022. These discrete discharge measurements form what is commonly referred to as a “seepage run.” The intent of the seepage run is to quantify the spatial distribution of streamflow along the reach during fair-weather, low-flow conditions, generally characterized by negligible direct runoff within the reach. The measurements can be used to characterize the net seepage of water into (water gain) or out of (water loss) the stream channel between measurement sites provided that the measurements were made during stable, nonchanging flow conditions (or, in some cases, were made simultaneously during transient flow conditions) and external surface inflows (for example, a tributary) or outflows (for example, a diversion) of water to the reach are quantified and accounted for in the computation of net seepage.

Tags: hlawa-stream, hydrographic-datasets, hydrology, inlandwaters, north-hlawa-stream, oahu, river-reaches, south-hlawa-stream, state-of-hawaii, stream-gage-measurement, streamflow, surface-water-non-marine, usgs-64a70affd34ef77fcb063f0a, water-resources
Organization: Department of the Interior
Seepage-run discharge measurements, February 4, 2022, South Halawa Stream, North Halawa Stream, and Halawa Stream, Oahu, Hawaii

This data release contains a comma-delimited ascii file of six same-day, discrete discharge measurements made at sites along selected reaches of South Halawa Stream, North Halawa Stream, and Halawa Stream, Oahu, Hawaii on February 4, 2022. These discrete discharge measurements form what is commonly referred to as a “seepage run.” The intent of the seepage run is to quantify the spatial distribution of streamflow along the reach during fair-weather, low-flow conditions, generally characterized by negligible direct runoff within the reach. The measurements can be used to characterize the net seepage of water into (water gain) or out of (water loss) the stream channel between measurement sites provided that the measurements were made during stable, nonchanging flow conditions (or, in some cases, were made simultaneously during transient flow conditions) and external surface inflows (for example, a tributary) or outflows (for example, a diversion) of water to the reach are quantified and accounted for in the computation of net seepage.

Tags: hlawa-stream, hydrographic-datasets, hydrology, inlandwaters, north-hlawa-stream, oahu, river-reaches, south-hlawa-stream, state-of-hawaii, stream-gage-measurement, streamflow, surface-water-non-marine, usgs-64a75a0fd34e4e876e07901f, water-resources
Organization: Department of the Interior
Earthquake geology inputs for the National Seismic Hazard Model (NSHM) 2025 (Puerto Rico and U.S. Virgin Islands), version 1.0

This Data Release contains preliminary versions of three related geologic input databases for the Puerto Rico and U.S. Virgin Islands (PRVI) region (62°–70° W and 16°–21° N) of the United States: 1) A fault sections database (“NSHM2025_FaultSections_PRVI_v1’”), which depicts the geometry of faults capable of hosting independent earthquakes, 2) a fault-zone polygon database ("NSHM2025_FaultPolygons_ PRVI_v1"), which depicts the geometry of distributed fault zones capable of hosting repeated large magnitude events but a specific fault source remains unidentified, and 3) An earthquake geology site information database (“NSHM2025_EQGeoDB_ PRVI_v1”), which contains fault slip-rate and earthquake recurrence constraints and categorical slip rates at points on each fault section or fault-zone polygon. These databases were prepared in anticipation of updates to the National Seismic Hazard Model (NSHM) 2025 for the PRVI region. Fault-specific geologic parameters for the NSHM have not been updated since the 2003 NSHM release. These databases are provided as geospatial data (e.g., .SHP, .KML, .GEOJSON file formats) and tables (.CSV format).

Tags: hazards, hispaniola, northeast-caribbean, puerto-rico, u-s-virgin-islands, usgs-64a85bf3d34e70357a27ddd5
Organization: Department of the Interior
Total neutron scattering of methane in Niobrara Formation samples at the wet-gas maturity level

Petroleum within unconventional source-rock reservoirs is hosted in organic matter and mineral pore space as well as in voids and microfractures. Recent work has shown that for source-rock reservoirs in the dry gas window, significant portions of methane (CH4), the main component of petroleum at elevated maturities, can be stored within fine organic matter porosity. However, within reservoirs at lower thermal maturities (e.g., peak oil or wet-gas conditions), the distribution and behavior of CH4 and the higher alkanes that comprise gas condensates across pore sizes is unclear, especially for fine pores with diameters &lt;50 nm. Understanding CH4 within these settings provides insight for petroleum generation, movement, and recoverability, ultimately enabling increased accuracy of estimated ultimate recovery. Here wide Q-range total neutron scattering was used to evaluate perdeuterated methane (CD4) behavior at reservoir pressures and temperature in a sample at the late oil/wet gas thermal maturity stage from the Late Cretaceous Niobrara Formation, an active petroleum producing formation within the Denver-Julesburg Basin, United States.

Tags: colorado, contrast-matching, denver-julesburg-basin, gas-condensate, natural-gas, neutron-scattering, shale, usgs-64ac0523d34e70357a28a074
Organization: Department of the Interior
Data showing similar movement ecology between mallards infected and not infected with highly pathogenic avian influenza H5N1

These data, which support a paired USGS publication, document the movement and infection status of mallards captured, marked, and tested at a wintering site in Tennessee. Data document differences in movement ecology between mallards infected and not infected with HPAI H5N1.

Tags: avian-influenza, biota, mississippi-flyway, movement-ecology, united-states, usgs-64ac0e71d34e70357a28aeb6
Organization: Department of the Interior
Lidar Point Clouds (LPC) Derived from Lidar Data Collected by Small, Uncrewed Aircraft Systems (sUAS) in Three Study Areas in Colorado, 2020-22

These light detection and ranging (lidar) point clouds (LPCs) were generated from lidar data collected during multiple field campaigns in three study areas near Winter Park, Colorado. Small, uncrewed aircraft systems (sUAS) collected lidar datasets to represent snow-covered and snow-free periods. More information regarding the sUAS used and data collection methods can be found in the Supplemental Information and process step sections of each study area metadata file.

Tags: bare-earth, berthoud-pass, colorado, colorado-river, fraser, lidar, point-cloud, snow, snow-depth, snow-water-equivalent, suas, usgs-64ac2c86d34e70357a28e5d4, winter-park
Organization: Department of the Interior
Delaware Atlantic coast, 2020 - Aerial Imagery

Low altitude (300 meters above ground level (AGL)) digital aerial imagery were acquired on May 4 and 5, 2020, from a manned, fixed-wing aircraft using a Sony A7R 36 Megapixel digital camera, along with precise aircraft location Global Navigation Satellite System (GNSS) data. Data were collected in shore-parallel lines, flying at approximately 50 meters per second and capturing true color imagery at 1 Hertz, resulting in image footprints with approximately 75-80% endlap, 60-70% sidelap, and a ground sample distance (GSD) of 5.3 centimeters. The precise time of each image capture (flash event) was recorded, and the corresponding aircraft position was computed in post-processing from the aircraft navigation GNSS data; precise image positions can then be determined by accounting for the lever arm offsets between the aircraft GNSS antenna and the camera lens. Position data, provided as latitude/longitude/ellipsoid height, is referenced to the North American Datum of 1983 (NAD83(2011)).

Tags: aerial-photography, cape-henlopen, cape-henlopen-state-park, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-processes, delaware, delaware-seashore-state-park, earth-sciences, geography, geomorphology, geoscientificinformation, geospatial-datasets, image-collections, imagerybasemapsearthcover, oceans, remote-sensing, structure-from-motion, topographic-maps, topography, u-s-geological-survey, usgs, usgs-647e2afed34eac007b55e36e
Organization: Department of the Interior
Snow Depth Raster Maps Derived from Digital Elevation Models (DEMs) of Three Study Areas in Colorado, 2020-22

These snow depth raster maps were generated from digital elevation models (DEMs) derived from light detection and ranging (lidar) data collected during multiple field campaigns in the three study areas near Winter Park, Colorado. Small, uncrewed aircraft systems (sUAS) collected lidar datasets to represent snow-covered and snow-free periods. More information regarding the sUAS used and data collection methods can be found in the Supplemental Information and process step sections of each study area individual metadata file.

Tags: bare-earth, berthoud-pass, colorado, colorado-river, digital-elevation-model, fraser, lidar, point-cloud, snow, snow-depth, snow-water-equivalent, suas, usgs-64ac2cbdd34e70357a28e64a, winter-park, yellowscan
Organization: Department of the Interior
Database of post-wildfire floods and debris flows

This database contains information on peak flows (flash floods, hyperconcentrated flows, and debris flows) after wildfire. Data were collected from the scientific literature and the U.S. Geological Survey National Water Information System. These data provide a foundation to assess the upper limits of post-wildfire floods that imperil human lives, infrastructure, and water supplies.

Tags: usgs-64ac5779d34e70357a29153d, utilitiescommunication, wildfire-flood
Organization: Department of the Interior
Seismic profiles for hydrogeologic framework study of the Floridan Aquifer system in north Lake Okeechobee, Florida

Seismic-reflection profiles were collected in the northern part of Lake Okeechobee as part of a study to refine the hydrogeology of the Floridan Aquifer System in the area. The dataset consists of eleven 2D lines and a one-square mile 3D survey.  A total of 53 miles of 2D lines were collected on land, on canals, and on the lake.  The 3D survey was completed in the north-central part of the lake. 2D lines were acquired between February and August 2020.  The 3D survey was acquired in January 2021.

Tags: florida, geoscientificinformation, hydrogeology, lake-okeechobee, marine-geophysics, seismic-reflection-methods, usgs-64ac5fb9d34e70357a291b8f
Organization: Department of the Interior
Engineering Soil Classification and Geotechnical Measurements in Lares, Naranjito, and Utuado, Puerto Rico

The data include soil texture, soil-water, and estimated soil strength properties for soil map units and from geotechnical investigations of landslide areas affecting highways in the municipalities of Lares, Naranjito, and Utuado, Puerto Rico.  The map units are derived from published soil mapping (https://websoilsurvey.sc.egov.usda.gov/app/) and have been grouped by municipality, Unified Soil Classification System symbol, and order-of-magnitude ranges of hydraulic conductivity to create generalized map units for assigning soil-water parameters and soil-strength parameters. Each group (generalized unit) includes one or more soil map units.  The groups are numbered sequentially from one (1) for each municipality with low-permeability soils having lower numbers and permeable soils having higher numbers.  However, each municipality has a unique number of groups resulting from its unique mix of soils, so groups having the same number may have different characteristics in each municipality.  The tab-delimited data lists the following for each constituent soil map unit: map-unit symbol, hydraulic conductivity (micrometers per second), effective porosity (percent), plasticity index, Unified Soil Classification System symbol, total sand (percent), total silt (percent), total clay (percent), organic matter (percent), water content at 15 bars of suction (percent), saturated water content (percent).  For each group that includes two or more soil map units, the data include the median of each of the numeric values enumerated previously. Each group (except those lacking sufficient soil texture data), includes estimates of the soil-water retention parameter (inverse meters), angle of internal friction (degrees), and cohesion (kilopascals). A separate file contains tab-delimited data summarizing geological and engineering characteristics of soil and rock layers intersected by boreholes in landslide areas that damaged  highways in the three municipalities.  We obtained these characteristics from unpublished engineering reports prepared by consultants and on file with the Puerto Rico Department of Transportation (Departamento de Transportación y Obras Públicas).

Tags: engineering-geology, geoscientificinformation, geotechnical-measurements, landslides, lares, naranjito, permeability, porosity, puerto-rico, usgs-64ad8711d34e70357a292c99, utuado
Organization: Department of the Interior
North American Breeding Bird Survey Dataset 1966 - 2022

The 1966-2022 North American Breeding Bird Survey (BBS) dataset contains avian point count data for more than 700 North American bird taxa (species, races, and unidentified species groupings). These data are collected annually during the breeding season, primarily in June, along thousands of randomly established roadside survey routes in the United States and Canada. Routes are roughly 24.5 miles (39.2 km) long with counting locations placed at approximately half-mile (800-m) intervals, for a total of 50 stops. At each stop, a citizen scientist highly skilled in avian identification conducts a 3-minute point count, recording all birds seen within a quarter-mile (400-m) radius and all birds heard. Surveys begin 30 minutes before local sunrise and take approximately 5 hours to complete. Routes are surveyed once per year, with the total number of routes sampled per year growing over time; just over 500 routes were sampled in 1966, while in recent decades approximately 3000 routes have been sampled annually. No data are provided for 2020. BBS field activities were cancelled in 2020 because of the coronavirus disease (COVID-19) global pandemic and observers were directed to not sample routes. In addition to avian count data, this dataset also contains survey date, survey start and end times, start and end weather conditions, a unique observer identification number, route identification information, and route location information including country, state, and BCR, as well as geographic coordinates of route start point, and an indicator of run data quality.

Tags: avian-point-counts, biodiversity, birds, canada, north-america, population-distribution, population-trends, relative-abundance, united-states, united-states-of-america, usgs-64ad9c3dd34e70357a292cee
Organization: Department of the Interior