AndreaBozzo/ceres-open-data-index huggingface dataset:
Alaska NHM Domain map of permanent snow and initial snowpack depths, derived from monthly-mean GCM Snow water equivalent simulations, January 1980 - October 2022

This data release contains a map of permanent snow, and initial snow-depths for use in NHM-PRMS modeling of the Alaska Domain. Data were computed from NASA's GCM NetCDF files of snow-water equivalent (SWE) monthly-mean data to arrive at values used to initialize the model runs. Grid cells reporting snow were compared to 43 years of monthly-mean NetCDF files. Those gird cells with permanent SWE values were flagged and a map made of this. The resulting data layer shows grid cells in locations of perennial snowfields found in data spanning roughly 43-years (January 1980 through October 2022). Deeper SWE depths coincide with the location of glaciers but do not cover the full extent of glaciers. These data were computed to populate a PRMS hydrologic response unit parameter value for the starting date of January 1, 1980. PRMS is a deterministic, distributed-parameter, physical-process-based modeling system developed to evaluate the response of streamflow and general basin hydrology to various combinations of climate and land use.
CONTENTS OF THIS DATA RELEASE:
1. SWE_metadata.csv = NASA snow-water equivalent product (NetCDF) metadata.
2. FLDAS_glacier_depth_19820101 1.nc = NetCDF file of grid cells showing permanent snow.
3. AK_NHM_perm_snow.zip = AK NHM shapefile of permanent snow.
4.snowpack_init.csv = Result: PRMS HRU parameter values: snowpack_init

Tags: actual-evapotranspiration, alaska, baseflow, british-columbian-province, canada, climatologymeteorologyatmosphere, environment, gcm, geoscientificinformation, geospatial-datasets, glaciers, global-domain, groundwater, hydrology, inlandwaters, iwaa, land-surface-characteristics, nasa-giovanni, natural-resources, nhm, perennial-snowfields, potential-evapotranspiration, prms-parameter-source-data, prms-parameter-values, root-zone-soil-moisture, scientific-interpretation, scientific-software, snow-and-ice-cover, snow-cover-area, snow-water-equivalent, soil-water-infiltration, solar-radiation, spatial-analysis, subsurface-runoff, surface-runoff, swe, usgs-64b58510d34e70357a2ae77f, water-resources, watershed-management, wma, yukon, yukon-territory
Organization: Department of the Interior
Harmonized continuous water quality data in support of modeling harmful algal blooms in the United States, 2005 - 2022

Harmful algal blooms (HABs) are overgrowths of algae or cyanobacteria in water and can be harmful to humans and animals directly via toxin exposure or indirectly via changes in water quality and related impacts to ecosystems services, drinking water characteristics, and recreation. While HABs occur frequently throughout the United States, the driving conditions behind them are not well understood, especially in flowing waters. In order to facilitate future national model development and characterization of HABs, this data release publishes a synthesized and cleaned collection of HABs-related water quality and quantity data for river and stream sites across the United States. It includes nutrients, major ions, sediment, physical properties, streamflow, chlorophyll and other types of water data.
This data release contains files of harmonized data from the USGS National Water Information System (NWIS). Continuous sensor data for 132 parameters (35 of which returned data) between January 1, 2005 and December 31, 2022 were downloaded from NWIS programmatically. All data were harmonized into a shared format and grouped by generic parameters; data are in files named "daily_{parameter_grp}.csv", and the "pcode_group_xwalk.csv" maps parameter codes to parameter groups. Lastly, we include a "site_metadata.csv" containing site identification and location information for all sites with water quality and quantity data, and mappings to the National Hydrography Dataset flowlines where available.
This work was completed as part of the USGS Proxies Project, an effort supported by the Water Mission Area (WMA) Water Quality Processes program to develop estimation methods for PFAS, harmful algal blooms, and metals, at multiple spatial and temporal scales.

Tags: algal-blooms, data-integration, district-of-columbia, environment, health, inlandwaters, puerto-rico, united-states, usgs-64b58d96d34e70357a2aeb6d, water-quality, water-resources
Organization: Department of the Interior
Grayscale GeoTIFF Image of the 1-m Sidescan-Sonar Data From National Oceanic and Atmospheric Administration (NOAA) Survey H12298 in Block Island Sound (UTM Zone 19, NAD 83, H12298_1MSSS_UTM19.TIF)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal sea floor. Bathymetric and sidescan-sonar data, originally collected by NOAA for charting purposes, provide a framework for research and management activities along western Block Island Sound, show the composition and terrain of the seabed, and provide information on sediment transport and benthic habitat. During June 2013, bottom photographs and surficial sediment data were acquired as part of a ground-truth reconnaissance survey of this area. Interpretations were derived from the multibeam-echosounder, sidescan-sonar, sedimentary, and photographic data collected in Block Island Sound. For more information on the ground-truth survey see https://cmgds.marine.usgs.gov/fan_info.php?fan=2013-005-FA.

Tags: atlantic-ocean, backscatter, block-island-sound, cmgp, coastal-and-marine-geology-program, fishers-island, geoscientificinformation, geospatial-datasets, geotiff, grayscale-image, h12298, image-mosaics, imagerybasemapsearthcover, klein-5000, marine-geophysics, national-oceanic-and-atmospheric-administration, new-york, noaa, noaa-ship-thomas-jefferson, noaa-survey-h12298, north-america, oceans, sea-floor-acoustic-reflectivity, sidescan-sonar, sidescan-sonar-mosaic, u-s-east-coast, u-s-geological-survey, united-states, usgs, usgs-64b5b063-04eb-4658-8260-31a8a94df0b2, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Data Release for Luminescence: Surficial Mapping of the Central Panamint Valley, Inyo County, California

Several historic, multi-fault ruptures in the Eastern California Shear Zone (ECSZ) reinforce the need to understand how this rupture style contributes to seismic hazard in complex and diffuse fault zones. Several historic earthquakes in the ECSZ, the 1992 Landers, the 1999 Hector Mine, and the 2019 Ridgecrest rupture sequence, involved complex and multi-fault rupture. However, paleoseismic evidence of multi-fault ruptures in the ECSZ is poorly resolved in the rock record. Here I investigate paleoseismic evidence for complex rupture in Panamint Valley, located ~50 km northeast of the 2019 Ridgecrest ruptures. Late Holocene scarps in the 10 km-wide transtensional relay between the Ash Hill and Panamint Valley faults display surface rupture geometries analogous to those produced during the 1992 Landers and 1999 Hector Mine earthquakes. I produce a 1:4000 scale tectonogeomorphic map of the 40 km² area between the Ash Hill and Panamint Valley faults using my locally-calibrated relative-age alluvial fan chronology and using NCALM lidar DEMs and aerial imagery to identify ruptures. I bracket earthquakes with post-IR feldspar infrared-stimulated luminescence dating of offset deposits. I record vertical and lateral offsets at over 250+ locations using field mapping and backslipped reconstructions of newly generated high resolution (5 cm) drone-based structure from motion digital surface models. My mapping shows that the transtensional relay consists of 100+ fault strands that occur in parallel and en échelon arrays 5-7 km in length, with spacings of 1s to 100s of meters. Using my relative-age fan stratigraphy, geochronologic dating of offset deposits, and relative cumulative offset, I identify four late Holocene ruptures at ~0.3 – ~0.7 ka, ~0.7 – 2.4 ka, ~2.6 – 3.6 ka, and ~3.6 – 4.2 ka. Displacement magnitude per event ranges from 0.6 – 1.0 m of lateral slip and 0 – 0.2 m of dip slip. Displacement-length scaling relationships suggest that these mapped faults cannot rupture independently of a larger fault system. My results show overlap in the timing of ruptures in the transtensional relay, on the Ash Hill and Panamint faults, and that the Ash Hill and transtensional relay are kinematically similar. These similarities suggest this region acts as a zone for complex strain transfer between the Ash Hill and Panamint faults over multiple earthquake cycles. These relationships may support a geometric link at depth or the reoccupation of preexisting weaknesses at depth capable of transferring strain over larger distances.

Tags: age-estimation-methods, ash-hill, eastern-california-shear-zone, geochronology, luminescence-dating, optically-stimulated-luminescence, panamint-valley, radiation-dosimetry, southern-california, southern-walker-lane, usgs-64b5c00dd34e70357a2b0643
Organization: Department of the Interior
U.S. Geological Survey Data Citation Analysis, 2016-2022

In 2022, publication and data linkages were evaluated using two methods in an effort to understand how a data citation workflow has been implemented by the U.S. Geological Survey (USGS) since the 2016 USGS instructional memorandum, Public Access to Results of Federally Funded Research at the U.S. Geological Survey: Scholarly Publications and Digital Data (USGS OSQI, 2016), went into effect, requiring USGS data be assigned a DOI, be accompanied by a citation, and be referenced from the associated publication (USGS OSQI, 2017). This data release includes data and publication structural metadata results retrieved from the USGS DOI Tool and Crossref APIs and Jupyter notebooks used to process and analyze the results.

Tags: application-programming-interfaces, biota, catalogs-and-indexes, computer-science, data-services, datasets, information-sciences, information-services, information-technology-methods, reference-services, usgs-64b6d99ad34e70357a2b24ac
Organization: Department of the Interior
Ice cave climate data and frost imagery at Sunset Crater, AZ: 02 March 2021 to 13 December 2022

The purpose of the data collection was to monitor the microclimate in the “Bonito Flow” Ice Cave located in Sunset Crater National Monument. This cave is considered a sacred spot for some southwestern tribes as it was a historical source for ice. The main purpose of the climate monitoring was to determine if the cave is still an active ice cave, i.e., a cave that contains perennial ice. The data acquired consists of temperatures, humidity, and pressures throughout the cave structure and also includes temperatures and humidity measured outside of the cave, near the entrance.
Sensors were distributed throughout the cave but focus on a large ice puddle that forms on the cave floor during the winter months. Cave floors often show decreases in air temperatures that correspond to times when the outside air temperature is below that cave air temperature, suggesting that colder air flows into the cave at these times. Relative humidity measurements show the air in this cave is saturated most of the year. The driest periods, i.e., times of lowest relative humidity, occur during the winter. An air temperature gradient usually exists between the cave floor and ceiling; this is greatest during the summer.
We acknowledge and appreciate the Hopi Tribe, Zuni Tribe, and Flagstaff Area National Monuments for approving this research.

Tags: atmospheric-and-climatic-processes, atmospheric-properties, caves, climatologymeteorologyatmosphere, field-inventory-and-monitoring, geoscientificinformation, ice-cave-microclimate, usgs-64b6e00ed34e70357a2b24c7
Organization: Department of the Interior
Parent and alkylated polycyclic aromatic hydrocarbons (PAHs) in watershed soil and reef sediment at Olowalu, Maui, 2022

Seventy six parent and alkylated polycyclic aromatic compounds, including polycyclic aromatic hydrocarbons (PAHs), were quantified in watershed and reef sediment from Olowalu, Maui, in February 2022 to explore urban and wildfire effects. Sample locations and total organic carbon contents (OC) are available in the accompanying file OlowaluWatershedReef2022_compositions.csv.

Tags: beryllium-7-dating, cesium-137-dating, cmhrp, coastal-and-marine-hazards-and-resources-program, environment, environmental-chemistry, fires, fringing-reef, geochemistry, geoscientificinformation, kealaloloa-ridge, kihei, kulanihakoi-gulch, lava-flow, maalaea, manawaipueo-gulch, maui, mercury-analysis, metal-elements, olowalu-stream, opunaha-gulch, pacific-coastal-and-marine-science-center, papalaua, pcmsc, radiometric-dating, rare-earth-elements, river-discharge, sediment-geochemistry, sediment-transport, soil-chemistry, stream, substrate, u-s-geological-survey, ukumehame-gulch, usgs, usgs-64b8078ad34e70357a2b49c9, volcanic-island, waiakoa-gulch, waikapu-stream, watershed
Organization: Department of the Interior
Elemental chemistry, radionuclides, and charcoal in watershed soil and reef sediment at Olowalu, Maui, 2022

Fine-sediment elemental chemistry, short-lived cosmogenic radionuclides (Beryllium-7, Cesium-137, and Lead-210), charcoal counts, and total organic carbon contents were quantified to describe urban and wildfire effects and land-based sediment sources and runoff to Olowalu Reef in February 2022.

Tags: beryllium-7-dating, cesium-137-dating, cmhrp, coastal-and-marine-hazards-and-resources-program, environment, environmental-chemistry, fires, fringing-reef, geochemistry, geoscientificinformation, kealaloloa-ridge, kihei, kulanihakoi-gulch, lava-flow, maalaea, manawaipueo-gulch, maui, mercury-analysis, metal-elements, olowalu-stream, opunaha-gulch, pacific-coastal-and-marine-science-center, papalaua, pcmsc, radiometric-dating, rare-earth-elements, river-discharge, sediment-geochemistry, sediment-transport, soil-chemistry, stream, substrate, u-s-geological-survey, ukumehame-gulch, usgs, usgs-64b809add34e70357a2b4c07, volcanic-island, waiakoa-gulch, waikapu-stream, watershed
Organization: Department of the Interior
Kaloko-Honokōhau National Historical Park shrimp density and anchialine pool characteristics, 2017

This data release includes metadata and tabular data that documents counts of shrimp and measurements of field variables aimed to identify factors that affect the distribution and abundance of the uncommon anchialine pool shrimp Metabetaeus lohena at Kaloko-Honokōhau National Historical Park during 2017. The data set documents biological, chemical and physical attributes within 173 anchialine pools surveyed during the study.

Tags: abundance, anchialine-pool, farming, invasive-fish, island-of-hawaii, kaloko-honokohau-national-historical-park, limiting-factors, shrimp, usgs-64b83fe8d34e70357a2b4f00
Organization: Department of the Interior
Contractor vertical accuracy checkpoints for 3D Elevation Program digital elevation models in the Northern Gulf of Mexico and Atlantic coastal regions, 2012–2020

Vertical accuracy of elevation data in coastal environments is critical because small variations in elevation can affect an area’s exposure to waves, tides, and storm-related flooding. Elevation data contractors typically quantify the vertical accuracy of digital elevation models (DEMs) developed using light detection and ranging data acquisition on a per-project basis to gauge whether the datasets meet quality and accuracy standards. To better understand the vertical accuracy of DEMs along the Gulf of Mexico and Atlantic coast, we collated over 5200 contractor points for this region that were collected for per-project-level analyses produced for assessing DEMs acquired for the U.S. Geological Survey’s 3D Elevation Program. Upon pooling these data, we integrated attributes related to land cover from the National Oceanic and Atmospheric Administration's (NOAA) Coastal Change Assessment Program (C-CAP) 10 m BETA land cover product. Vegetative state, a derivative of land cover, was described as non-vegetated or vegetated. USGS Lidar Base Specification Quality Level (NGP, 2022), a derivative of point spacing, was obtained via the metadata of the elevation data, and regional classifiers were assigned based on dividing the coastal region using Everglades National Park and the North Carolina-Virginia border.

Tags: alabama, atlantic, biota, coastal-processes, connecticut, delaware, digital-elevation-models, emergent-wetland, environment, estuarine-coastal, farming, florida, forested-wetland, georgia, gps-measurement, gulf-of-mexico, land-use-and-land-cover, lidar, louisiana, maine, marsh-ecosystems, maryland, massachusetts, mississippi, new-york, north-carolina, remote-sensing, texas, usgs-64b8833ed34e70357a2b56a0, wetland-ecosystems
Organization: Department of the Interior
Modeled surface waves from winds in South San Francisco Bay

A model application using the phase-averaged wave model SWAN was developed to simulate wind waves in South San Francisco Bay, California, between May 30, 2021, and May 19, 2022. This data release describes the development of the model application, provides input files suitable for running the model using Delft3D version 4.04.01, and includes output from the model simulations in netCDF format.

Tags: bay, cmhrp, coastal-and-marine-hazards-and-resources-program, ocean-waves, oceans, pacific-coastal-and-marine-science-center, pcmsc, physical-oceanography, san-francisco-bay, state-of-california, surface-wind-wave, u-s-geological-survey, usgs, usgs-64b9688ed34e70357a2bf187, water-column-features, waves
Organization: Department of the Interior
Mean annual groundwater recharge rates for Kauaʻi for historical and future drought conditions, and 2020 land cover

This shapefile represents the spatial distribution of mean annual groundwater recharge, in inches, for Kauaʻi, Hawaiʻi for two water-budget scenarios. The two scenarios include: (1) historical drought rainfall and 2020 land cover, and (2) future drought rainfall and 2020 land cover. Historical drought rainfall is monthly rainfall during 1998–2002 from Frazier and others (2016), whereas future drought rainfall is monthly rainfall during 1998–2002 rainfall adjusted for a Representative Concentration Pathway 8.5 2071-99 (RCP8.5 2071–99) projection from Elison Timm and others (2015). Monthly rainfall for each scenario was disaggregated into daily values using daily rainfall during 1998–2002 from Longman and others (2019). A 2020 land-cover map developed by Kāne and others (2024a, 2024b) was used to define the land-cover conditions and the model subareas. Groundwater recharge for each model subarea was computed for each scenario using a water-budget model developed by Oki (2022). The shapefile attribute information associated with each subarea present an estimate of mean annual groundwater recharge, and select geographic and land-cover attributes. Brief descriptions of the groundwater recharge estimates and attributes are included in this metadata file. Refer to Mair and others (2024) for further details of the methods and sources used to determine groundwater recharge and the attributes.

Tags: cloud-water-interception, droughts, groundwater, kauai, land-use-and-land-cover, pacific-islands, precipitation-atmospheric, state-of-hawaii, usgs-647e1a90d34eac007b55ddd8, water-budget, water-budget-model, water-cycle
Organization: Department of the Interior
Data release for Late glacial-Younger Dryas climate in interior Alaska as inferred from the isotope values of land snail shells

The isotopic values of fossil snail shells can be important archives of past climate. Here we present the first carbon (δ13C) and oxygen (δ18O) isotope values of radiocarbon-dated and live-collected snails in interior Alaska to explore changes in vegetation and humidity through the late glacial period (14-11.7 ka). Snail shell δ13C values were relatively consistent through the late glacial. However, late glacial shell δ13C values are 2.8‰ higher than modern shells. This offset is best explained by changes in the δ13C values of plants consumed by snails. Snail shell δ18O values varied through the late glacial, which can be partially explained by changes in relative humidity (RH). RH during the snail growing period was modeled based on a published flux balance model. Results suggest a dry period in the Bølling–Allerød (~14 ka) followed by two distinct stages of the Younger Dryas, a wetter stage in the early Younger Drays from 12.9-12.3 ka, and subsequent drier stage in late Younger Dryas between 12.3 and 11.7 ka. The results show that land snail isotopes in high-latitude regions may be used as a supplementary paleoclimate proxy to help clarify complex climate histories, such as those of interior Alaska during the Younger Dryas.

Tags: high-latitudes, land-snail, oxygen-isotopes, paleoclimate, usgs-647e0393d34eac007b55dd88
Organization: Department of the Interior
Winter 2023 Arcata to Eureka, California, Deployment of Nodal Seismometers

These data are from a 3-month long deployment of nodal seismometers that ran from December 22th, 2022 until March 1st, 2023 as part of a Distributed Acoustic Sensing (DAS) experiment above the Gorda plate. The deployment was done in response to the 2022/12/20 M6.4 Ferndale earthquake.  The sensors were deployed at 46 locations along Old Arcata Rd between Arcata and Eureka California (Figure 1); these locations track the approximate location of the fiber optic cable used as part of the DAS experiment. The instruments have a battery recording life of approximately one month and were swapped out in the same locations in Mid-to-late January, and late February-Early march. Exceptions are that only 29 were deployed for the first month and 3 extra stations were deployed along Samoa blvd in Arcata in the third month.  Thus, there are 122 instruments that were deployed at 49 distinct locations.

Tags: biota, cascadia, das, earthquake, gorda, subduction, usgs-647a6030d34eac007b5223c5
Organization: Department of the Interior
Data to support Leveraging machine learning to automate regression model evaluations for large multi-site water-quality trend studies

This data release contains one dataset and one model archive in support of the journal article "Leveraging machine learning to automate regression model evaluations for large multi-site water-quality trend studies" by Jennifer C. Murphy and Jeffrey G. Chanat. The model archive contains scripts (run in R) to reproduce the four machine learning models (logistic regression, linear and quadratic discriminant analysis, and k-nearest neighbors) trained and tested as part of the journal article. The dataset contains the estimated probabilities for each of these models when applied to a training and test dataset.

Tags: biota, delaware-river-basin, k-nearest-neighbors, linear-discriminant-analysis, logistic-regression, quadratic-discriminant-analysis, united-states-of-america, usgs-647a3349d34eac007b521f2d
Organization: Department of the Interior