AndreaBozzo/ceres-open-data-index huggingface dataset:
December 2022- January 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-64beed97d34e70357a31c9ea
Organization: Department of the Interior
Summary by wildfire of all postfire erosion modeled estimates and field-based observation for large fires 1984—2021

These data show all the postfire erosion results affiliated with this data release summed by wildfire and attached to a polygon of each fire perimeter, as defined by Monitoring Trends in Burn Severity (MTBS). The results are shown as attributes for each polygon of wildfire perimeter. Some of the original MTBS data (name, ignition date, and ID) were preserved to allow for joining to other MTBS data. Results include WEPP modeling results of hillslope and channel erosion, a sum of postfire debris flow modeling results and field-based measurements, and a few derived results such as total sediment and total yield (mass per area).

Tags: cmhrp, coastal-and-marine-hazards-and-resources-program, erosion, fires, geoscientificinformation, geospatial-datasets, pacific-coastal-and-marine-science-center, pcmsc, physical-habitats-and-geomorphology, sediment-erosion, u-s-geological-survey, usgs, usgs-64bef0b9d34e70357a31c9ed
Organization: Department of the Interior
Postfire debris-flow volumes and their associated observation, location, and volume sources

This table contains measured and modeled postfire debris flow volumes alongside the associated sources for debris flow documentation, locations, and volumes. We conducted a search of scientific literature and news media reports to find documentation of debris flows that may have followed all wildfires greater than 100 square kilometers that occurred between 1984 and 2021 in California. The wildfires listed are all the fires we found that had documented postfire debris flows. Some fires had field-measurements of debris flow volume. Where field-measurements of volume did not exist, we used model data on postfire debris-flow likelihood and volume from U.S. Geological Survey Emergency Assessment of Post-Fire Debris-Flow Hazards Team (see Lineage section in this metadata). In some cases, exact locations (but not volumes) were known, in which case we used modeled volumes for these locations. Where debris flows were documented but not exact locations, we used the volumes from all basins with a probability greater than eighty percent of having postfire debris flows.

Tags: cmhrp, coastal-and-marine-hazards-and-resources-program, erosion, fires, geoscientificinformation, geospatial-datasets, pacific-coastal-and-marine-science-center, pcmsc, physical-habitats-and-geomorphology, sediment-erosion, u-s-geological-survey, usgs, usgs-64bef5f7d34e70357a31c9f3
Organization: Department of the Interior
Mercury Stable Isotope Assessment of Global Food Webs

This dataset describes mercury (Hg) stable isotope values in fish dorsal muscle from different freshwater environments across the globe. Fish were collected at numerous field sites in North America, South and Central America, Africa, and Asia from 2006-2020. Sub-samples were provided by cooperators to the U.S. Geological Survey Mercury Research Laboratory and the University of Wisconsin for mercury stable isotope analysis. Samples were analyzed for mercury stable isotopes from 2017-2021. These specimens represent multiple trophic levels and body sizes from different food webs and when adequate mass was available, multiple species from the same food web were examined. Cooperators include, but are not limited to: Anton de Kom University of Suriname, Kenya Marine and Fisheries Research Institute, Tanzania Fisheries Research Institute, University of Dar es Salaam, Centre National de la Recherche Scientifique et Technologique of Gabon, Direction de la Faune et des Aires Protegees and la Delegation a la Recherche Scientifique et Technologique of Republic of Congo, Central African Forest Ecosystems Programme (now NaturAfrica) -Congo, Kingdom of Thailand’s Department of Fisheries, ASMA Guatemala, Southern African Scientific Service Centre for Climate Change and Adaptive Land Management, Hawaii Division of Aquatic Resources.

Tags: botswana, congo, food-web, gabon, ghana, guatemala, honduras, isotopic-analysis, kenya, mercury-contamination, mongolia, panama, suriname, tanzania, thailand, united-states, usgs-64bfce76d34e70357a322c37, venezuela
Organization: Department of the Interior
Black bear (Ursus Americanus) spatial capture recapture dataset in and near Glacier National Park, Montana, USA, 2004

Tabular and raster data containing spatial capture recapture records for male and female black bears (Ursus americanus) in Glacier National Park and surrounding landscape collected from June - October 2004 and associated tabular data files required for analysis of data with spatial capture connectivity models and raster data describing the ouput from SCR models. Associated tables and rasters include details for traps, the state space and connectivity space required modeling and associated spatial covariates tested in models, as well as rasters describing black bear population density, habitat use, and population connectivity.

Tags: alberta, biota, black-bear, blackfeet-indian-reservation, british-columbia, capture-recapture, connectivity, crown-of-the-continent, glacier-national-park, going-to-the-sun-road, habitats, mammals, montana, movement, ursus, us-highway-2, usgs-64bfe7d5d34e70357a322cdd, wildlife
Organization: Department of the Interior
Attributed North American Bat Monitoring Program (NABat) 5km x 5km Master Sample and Grid-Based Sampling Frame

This data release contains the North American Bat Monitoring Program (NABat) Master Sampling Grid at the 5 km x 5 km scale with biologically relevant covariates for NABat analyses attributed to each cell of the 5 km x 5 km grid frame for the continental United States. It was created using ArcPro and the 'sf', 'tidyverse', 'dplyr' and 'exactextractr' packages in R to extract covariates from multiple data sources following the 10 km x 10 km attributed grid process as well as adding additional covariates. These covariates include the habitat characteristics such as percent of wetlands, forest, deciduous and coniferous forest, dominant and subdominant oak types, the number of tree and oak species, topographic features such as physiographic diversity, elevation, and the presence of karst terrain features or water feature, climate variables such as mean temperature and precipitation, and subterranean human structures such as the number and length of culverts. This layer provides the predictive covariates used in the integrated species distribution model for tricolored bats (Perimyotis subflavus, see External Related Resources). The attributed grid can also support future modeling efforts and data visualizations.

Tags: bats, biota, continental-united-states, master-sample, north-american-bat-monitoring-program, usgs-64c05bd3d34e70357a3238b3
Organization: Department of the Interior
2. Inputs for model archive: Identifying structural priors in a hybrid differentiable model for stream water temperature modeling

&lt;p&gt;This data release component contains shapefiles of river basin polygons and monitoring site locations coincident with the outlets of those basins. Three file formats describing basin attributes, and three file formats describing forcing and observational data, are also included. These data were used to train and test the stream temperature prediction models of Rahmani et al. (2023b).&lt;/p&gt;
&lt;p&gt;The &lt;a href="https://www.sciencebase.gov/catalog/item/64888368d34ef77fcafe3936"&gt;full model archive&lt;/a&gt; is organized into these four child items: &lt;li&gt;&lt;a href="https://www.sciencebase.gov/catalog/item/648f9bbdd34ef77fcb001ffc"&gt; 1. Model code &lt;/a&gt;- Python files and README for reproducing model training and evaluation &lt;/li&gt; &lt;li&gt;&lt;a href="https://www.sciencebase.gov/catalog/item/648f9c49d34ef77fcb001fff"&gt; [THIS ITEM] 2. Inputs &lt;/a&gt;- Basin attributes and shapefiles, forcing data, and stream temperature observations &lt;/li&gt; &lt;li&gt;&lt;a href="https://www.sciencebase.gov/catalog/item/648f9caed34ef77fcb002001"&gt; 3. Simulations &lt;/a&gt;- Simulation descriptions, configurations, and outputs &lt;/li&gt; &lt;li&gt;&lt;a href="https://www.sciencebase.gov/catalog/item/6495df90d34ef77fcb01e285"&gt; 4. Figure code &lt;/a&gt;- Jupyter notebook to recreate the figures in Rahmani et al. (2023b) &lt;/li&gt; &lt;/p&gt;
&lt;p&gt;The publication associated with this model archive is: Rahmani, F., Appling, A.P., Feng, D., Lawson, K., and Shen, C. 2023b. Identifying structural priors in a hybrid differentiable model for stream water temperature modeling. Water Resources Research. &lt;a href=https://doi.org/10.1029/2023WR034420&gt;https://doi.org/10.1029/2023WR034420&lt;/a&gt;.&lt;/p&gt;

Tags: deep-learning, environment, inlandwaters, machine-learning, modeling, streams, united-states, us, usgs-648f9c49d34ef77fcb001fff, water-resources, water-temperature
Organization: Department of the Interior
Density and magnetic susceptibility measurements on Precambrian rocks in the central Upper Peninsula, Michigan, 2021-2022

The U.S. Geological Survey (USGS) collected rock physical property measurements to help understand causative sources of gravity and magnetic survey anomalies in the central Upper Peninsula of Michigan. A total of 1,460 measurements of magnetic susceptibility and density from 61 outcrops and 37 boreholes have been conducted on Precambrian rocks. The measurements aid in interpretation of gravity and airborne magnetic data that are helping to understand Precambrian geology and potential mineral resources. For outcrop measurements, lithologic info is provided. Sample locations were determined using handheld Global Position System units. Measurements from drill core samples at the State of Michigan public core facility in KI Sawyer and the Cleveland Cliffs Inc. drill core facility in Ishpeming are also presented. For these measurements, the drill hole name, depth, and lithologic unit are provided. We thank Cleveland Cliffs Inc. for allowing access to their drill core facility and outcrops on their lands.

Tags: alger, bulk-density, delta, dickinson, earth-mapping-resources-initiative, earthmri, field-methods, geology-geophysics-and-geochemistry-science-center, geospatial-datasets, gggsc, gravitational-field-earth, iron, magnetic-field-earth, magnetism, marquette, menominee, michigan, mineral-resource-program, mrp, natural-resource-exploration, u-s-geological-survey, usgs, usgs-647e59b2d34eac007b55e98f
Organization: Department of the Interior
Remotely mapped lineaments in the Eastern Tennessee Seismic Zone, Tennessee, USA

This dataset contains linework of lineaments mapped from 1-m lidar data in the Eastern Tennessee Seismic Zone, Tennessee, USA. Attributes include lineament type, confidence of tectonic origin, and notes on the mapped lineament.

Tags: geoscientificinformation, usgs-647e61b3d34eac007b55ed8c
Organization: Department of the Interior
Mean annual groundwater recharge rates for Oʻahu for historical and future drought conditions, and three land-cover conditions

This shapefile represents the spatial distribution of mean annual groundwater recharge, in inches, for Oʻahu, Hawaiʻi for a set of drought and land-cover conditions represented in six water-budget scenarios. The six scenarios include: (1) historical drought rainfall and 2020 land cover, (2) future drought rainfall and 2020 land cover, (3) historical drought rainfall and Conversion 1 land cover, (4) future drought rainfall and Conversion 1 land cover, (5) historical drought rainfall and Conversion 2 land cover, and (6) future drought rainfall and Conversion 2 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 from Frazier and others (2016) adjusted for a Representative Concentration Pathway 8.5 2071–99 (RCP8.5 2071–99) projection from Elison Timm and others (2015). Monthly rainfall for historical and future drought conditions 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. Conversion 1 land cover is a hypothetical land-cover condition in which roughly 50 percent of forest and shrubland areas within the cloud zone are converted to grassland. Conversion 2 land cover is a hypothetical land-cover condition in which 100 percent of forest and shrubland areas within the cloud zone are converted to grassland. 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, land-use-and-land-cover, oahu, pacific-islands, precipitation-atmospheric, state-of-hawaii, usgs-647e7185d34eac007b55ed9f, water-budget, water-budget-model, water-cycle
Organization: Department of the Interior
Hawai‘i Island ʻōpeʻapeʻa captures, 2018–2021

‘Ōpe‘ape‘a (Hawaiian hoary bats; Lasiurus semotus) were surveyed at 23 sites on Hawaiʻi Island from 33 to 2,341 m elevation from May 2018 to August 2021. Bats were captured using mist nets; once detangled from mist nets, bats were secured in cloth holding bags for up to 10 min before collecting age, sex, reproductive condition, mass, forearm length, and biological samples and marking individuals with split ring bands and attaching very high frequency (VHF) radio transmitters. We captured 138 uniquely identified individuals (37 female, 101 male), of which 10 were recaptured (4 female, 6 male) and an additional 10 were ensnared in nets and escaped, for a total of 158. This data file includes data related to individual bats captured including sex, age and morphometrics of captured individuals, samples collected, markings applied, transmitter frequency, dates and generalized locations of capture.

Tags: bats, biota, endangered-species, hawaiian-hoary-bat, mist-netting, usgs-647e723ad34eac007b55eda3, wildlife-biology
Organization: Department of the Interior
Hawaii Island, carbon dioxide as a tool to manage invasive fish in anchialine pools, aquarium treatment observations, 2020

This data release includes metadata and tabular data that documents the behavioral response of three species of fish invasive to Hawaii ( tilapia [Oreochromis mosambicus], western mosquitofish [Gambusia affinis] and guppies [Poecilia reticulata]) during aquarium trials testing the efficacy of carbon dioxide (CO2) diffused in water to manage invasive fish in anchialine pools. The work was conducted during 2020.

Tags: anchialine-pool, biota, carbon-dioxide, hawaii, hawaii-island, invasive-fish, invasive-species-management, koloko-honokohau-national-historical-park, puuhonua-o-honaunau-national-historical-park, usgs-647eaeecd34eac007b55ee27
Organization: Department of the Interior
Geochemical Analysis of Bulk Dust and Human Respiratory Cells and Fluids in Research on Deployment-related Lung Injury

Multiple techniques including, x-ray diffraction, scanning electron microscopy, laser diffraction particle analysis, and inductively coupled plasma spectrometry, were used to characterize the morphology and composition of dust used for biological studies as well as lung tissue from rats, personnel deployed to Southwest Asia, and control samples. The data presented in this release are organized in the following structure: Child item 1: Geochemical and Morphological Characterization of Bulk Dust Used in MMP3 and GLIDE Experiments 
BulkDustCharacterization Table 1 XRD_final.csv  
BulkDustCharacterization Table 2 PSA_final.csv 
BulkDustCharacterization Table 3 ICP-OES-MS_final.csv 
BulkDustCharacterization Tables 1-2-3 Data Dictionary_final.csv 
BulkDustCharacterization SEM-EDS.zip: contains reports (.docx) of energy dispersive spectra from point analyses of dust from the seven samples and scanning electron images (TIFS) of the dust. 
Child item 2: Inductively Coupled Plasma Mass Spectrometry of Nasal Cells and Supernatants from Nasal Brushing and Bronchoalveolar Lavage 
NasalBronchoalevelar Table 1 ICP-MS QA-QC Samples.csv 
NasalBronchoalevelar Table 2 ICP-MS Samples.csv 
NasalBronchoalevelar Tables1-2 ICP-MS Data Dictionary.csv 
Child item 3: Scanning Electron Microscopy analysis of particles recovered from rat lung digestates 
RatLungDigestates Table 1 Particle Analysis of Rat Lung Digestates.csv 
RatLungDigestates Table 2 Rat Lung Digestates.csv 
RatLungDigestates Tables 1-2 Particle Analysis of Rat Lung Digestates Data Dictionary.csv 
Child Item 4: Scanning Electron Microscopy-E (SEM-EDS) and Inductively Coupled plasma mass spectrometry of particles recovered from deployer and control lung digestates 
LungDigestateParticles Table 1 ParticleData.csv 
LungDigestateParticles Table 2 SampleSummaries.csv 
LungDigestateParticles Table 3 ICPMS H2O2.csv 
LungDigestateParticles Table 4 ICPMS Particles.csv 
LungDigestateParticles Tables 1-2-3-4 Data Dictionary.csv

Tags: afghanistan, asia-minor-and-middle-east, chemical-analysis, china-lake, common-geographic-areas, geochemistry, geology-geophysics-and-geochemistry-science-center, geoscientificinformation, gggsc, grain-size-analysis, inductively-coupled-plasma-optical-spectroscopy, intelligencemilitary, iraq, particulate-matter, scanning-electron-microscopy, usgs-647e727fd34eac007b55eda6
Organization: Department of the Interior
Hawaiʻi Island ʻōpeʻapeʻa mist netting effort, 2018–2021

Hawaiian hoary bats ('ōpe'ape'a; Lasiurus semotus) were surveyed at 23 sites on Hawaiʻi Island from 33 to 2,341 m elevation from May 2018 to August 2021. Of the 23 sites, 8 were established as fixed survey sites for sampling at repeated intervals from January 2019 through January 2021. We surveyed each fixed site at least once per four month period (January–April, May–August, September–December), with a survey comprising one to three netting events. Additional opportunistic surveys were conducted at alternate locations or on alternate dates. We captured 138 unique bats (37 female, 101 male) and recaptured 10 bats over 224 mist-netting events. This data file includes data pertaining to mist netting effort locations, dates, times, use of acoustic playbacks, total survey time, and net sizes.

Tags: bats, biota, endangered-species, hawaiian-hoary-bat, mist-netting, usgs-647e7330d34eac007b55edb1, wildlife-biology
Organization: Department of the Interior
Mean annual groundwater recharge rates for Maui for historical and future drought conditions, and three land-cover conditions

This shapefile represents the spatial distribution of mean annual groundwater recharge, in inches, for Maui, Hawaiʻi for a set of drought and land-cover conditions represented in six water-budget scenarios. The six scenarios include: (1) historical drought rainfall and 2020 land cover, (2) future drought rainfall and 2020 land cover, (3) historical drought rainfall and Conversion 1 land cover, (4) future drought rainfall and Conversion 1 land cover, (5) historical drought rainfall and Conversion 2 land cover, and (6) future drought rainfall and Conversion 2 land cover. Historical drought rainfall is monthly rainfall during 2007–12 from Frazier and others (2016), whereas future drought rainfall is monthly rainfall during 2007–12 from Frazier and others (2016) adjusted for a Representative Concentration Pathway 8.5 2071–99 (RCP8.5 2071–99) projection from Elison Timm and others (2015). Monthly rainfall for historical and future drought conditions was disaggregated into daily values using daily rainfall during 2007–12 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. Conversion 1 land cover is a hypothetical land-cover condition in which roughly 50 percent of forest and shrubland areas within the cloud zone are converted to grassland. Conversion 2 land cover is a hypothetical land-cover condition in which 100 percent of forest and shrubland areas within the cloud zone are converted to grassland. 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, land-use-and-land-cover, maui, pacific-islands, precipitation-atmospheric, state-of-hawaii, usgs-647e7452d34eac007b55edb9, water-budget, water-budget-model, water-cycle
Organization: Department of the Interior
Geospatial representations of salinity monitoring site and bay and estuary group boundaries in the Gulf of Mexico

The polygon datasets were created to assist in visualizing the results of salinity modeling in Gulf of Mexico estuaries and bays. Statistical algorithms (Asquith and others, 2023) were developed to predict daily salinities for 91 salinity monitoring sites (Rodgers and Swarzenski, 2019) operated by 7 agencies in near coastal United States waters of the Gulf of Mexico. These monitoring sites are assigned to 15 salinity groups roughly corresponding to distinct bays and estuaries. The statistical algorithms facilitate the study of trends and drivers of salinity in near coastal waters. The groups polygon dataset consists of 15 polygons representing the outer boundary or hull of each of the 15 salinity groups. The site polygons dataset consists of 91 polygons—one polygon each per salinity monitoring site. The polygons were created using the Watershed Boundary Dataset, the National Hydrography Dataset, and aerial imagery. A detailed description of the polygon creation method is in the metadata processing steps. Creation of the polygons was motivated by a need to construct visual cues (maps and map animations) for testing the veracity of the statistical algorithms.

Tags: alabama, biota, florida, georgia, hydrology, louisiana, mathematical-modeling, mississippi, salinity, streamflow, texas, usgs-645bc66cd34ec179a838207e
Organization: Department of the Interior