cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.h7cqn7
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Psathyrostachys huashanica",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000219-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.65ccee
title: Occurrence Download

description: A dataset containing 12726 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Blechnum spicant, Blechnum spicant, Blechnum spicant, Blechnum spicant, Blechnum spicant, Blechnum boreale, Struthiopteris spicant)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 12726 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000220-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.432m3z
title: Occurrence Download

description: A dataset containing 532 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Psathyrostachys juncea",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 532 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000221-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p135gtgq
title: Diet Data from Fecal DNA Metabarcoding and Video Camera Collars from the Porcupine Caribou Herd, Alaska and Yukon

description: These diet data were collected from the Porcupine caribou herd in northern Alaska and Yukon in summer 2021 during 4 periods: calving (occasion 1), post-calving (occasion 2), mosquito harassment (occasion 3), and mid-summer (occasion 4). Diet data was determined by two distinct techniques: DNA metabarcoding data from fecal pellets and video data from camera collars deployed on adult females. We provide five tables: (1) the raw number of reads/exact sequence variant (ESV) from the metabarcoding laboratory, (2,3) the relative read abundance from sequences with &gt;90% DNA match to known plant and fungi taxa, (4) the raw forage data detected in 9-second videos, and (5) summarized video forage data.
DOI: 10.5066/p1aeiumu
title: Summer Roost Site Suitability Analyses of Four North American Bat Species in the Eastern United States

description: This data release contains the spatial raster outputs from analyses of summer roost site habitat for each of 4 species considered under the United States Forest Service proposed Bat Conservation Strategy (Myotis lucifugus, MYLU; Myotis septentrionalis, MYSE; Myotis sodalis, MYSO; and Perimyotis subflavus, PESU). The included raster data represent the mean suitability for summer roosting habitat for each of the four species (expressed as a numerical value from 0 to 1), the prediction interval (difference between the 5th and 95th confidence intervals), as well as the environmental covariates used to model habitat. All raster data are produced at a spatial resolution of 250 m per pixel. Summer roost site suitability layers were produced using a presence-background modeling approach with the Maxent algorithm. Presence-background modeling compares environmental conditions at locations where a species has been observed (in this case occupied summer roosting sites) to environmental conditions across a study area (background). Background environmental conditions were represented with a suite of raster data hypothesized to influence the suitability for roosting sites. These raster data represented average conditions between the years 2000 and 2020 across the continental United States. Occupied sites were identified from two data sources: U.S. Forest Service, and the North American Bat Monitoring Program (NABat) spanning the years 2000 to 2020. While the observations from NABat are sampled from the continental United States, the U.S. Forest Service observations were obtained only for Regions 8 and 9 in the eastern United States.
DOI: 10.5066/p14gcnz4
title: Streambank vertical temperature profile data collected along tributaries to Farmington River, CT, USA in 2021

description: Groundwater is often supersaturated in greenhouse gases (GHGs; i.e. CO2, CH4, N2O) and delivers these gasses to stream channels where they are either emitted, consumed, or transported downstream. However, areas of relatively spatially-focused (‘preferential’) groundwater discharge may also be located above the waterline and be immediate sources of GHGs to the atmosphere before moving down the streambank and mixing with surface waters. The rate at which groundwater discharges from exposed streambanks may alter the amount of instantaneous emissions that occur at preferential groundwater discharge zones. To quantify vertical groundwater flux rates from exposed preferential groundwater discharge points along exposed streambanks, we deployed temperature loggers (iButton #DS1922L, Maxim Integrated, Inc., San Jose, CA, USA) in vertical profilers into thermally-identified groundwater discharge points along streambanks at two sites within the Farmington River watershed (northwestern CT and southwestern MA, USA) with varying streambank organic matter content. Stratton Brook is a 2nd order tributary to the Farmington River. The surficial sediments at this tributary include sand and gravel, with some areas being comprised of fines and thin and thick till deposits (Stone et al. 1992). Stratton Brook streambanks are composed of unconsolidated sediment with high organic matter deposits. Surrounding landcover include forest, forested wetlands, housing developments, and a public forested park . West Branch Salmon Brook is a 3rd order tributary to the Farmington River. Its local landcover includes forest, agriculture, a public park, and housing developments. Surficial sediments include a blend of alluvium atop of gravel and sand from postglacial deposits, thick and thin till, and coarse gravel deposits (Stone et al. 1992). Streambank sediment is poorly sorted, ranging from large cobbles to fine sand. Vertical temperature profiler (VTP) data were collected at 20 distinct preferential groundwater discharge points from September 9 to October 31, 2021. For West Branch Salmon Brook, the temperature data was collected at 20 distinct preferential groundwater discharge points from September 14 to October 31, 2021, for a total of 40 monitored locations. Stone, J. R., Schafer, J. P., London, E. H., & Thompson, W. B. (1992). Surficial materials map of Connecticut. Reston, VA: US Geological Survey. https://doi.org/10.3133/70046712
DOI: 10.5066/p14lsd7u
title: Data from mesocosm experiments to assess metal and nutrient stimulation of Lake Erie and Lake Michigan phytoplankton communities, August 2017

description: To address how phytoplankton in the Great Lakes respond to macro- and micronutrients, we conducted a bottle incubation enrichment experiment using water collected from blooming (Maumee Bay and Fox River) and non-blooming sites (Detroit River and Ford River) in Lakes Erie and Michigan, respectively, during late summer. Surface water from these locations was collected and taken to Kent State University either via overnight shipping (Lake Michigan sites) or driven directly after collection (Lake Erie sites). Chlorophyll a (an index of overall biomass), community composition and toxicity were all measured as responses to treatments of labile inorganic nitrogen (N), phosphorus (P) and a mixture of micronutrients (chemical symbols: Fe, Mn, Mo, Ni, Zn).
DOI: 10.5066/p13qjt2e
title: Data for the evaluation of the acute toxicity of 4-nitro-3-(trifluoromethyl)phenol (TFM) to Burbot (Lota lota)

description: The dataset provides access to all data used in the interpretation of results for the study including dose response curves from toxicity tests, predicted minimum lethal concentration data, water quality data, and mortality data.
DOI: 10.15468/dl.ppgkvk
title: Occurrence Download

description: A dataset containing 5125 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cardaria draba, Lepidium draba)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 5125 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000222-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p14mnsfh
title: Data Associated with Beak Deformities in Red-tailed Hawks (Buteo jamaicensis), 1992-2024

description: This dataset consists of three tables with data associated with Red-tailed Hawks exhibiting beak deformities characteristic of avian keratin disorder (AKD). The first is comprised of Red-tailed Hawks collected or captured in the Northwest region of the United States. The second is a compilation of reports from citizen science observers or scientific literature. The third is a poecivirus viral sequence isolated from a Red-tailed Hawk using PCR amplification.
DOI: 10.15468/dl.kt89v8
title: Occurrence Download

description: A dataset containing 32871 records in GBIF matching the query:

 SELECT gbifid, datasetkey, specieskey, kingdom, phylum, class, "order", family, genus, species, scientificname, decimallatitude, decimallongitude, eventdate, institutioncode, "year" AS obs_year, basisofrecord, coordinateuncertaintyinmeters, issue
 FROM occurrence
 WHERE
 decimallatitude IS NOT NULL
 AND decimallongitude IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND coordinateuncertaintyinmeters IS NOT NULL
 AND coordinateuncertaintyinmeters &gt; 0
 AND coordinateuncertaintyinmeters &lt;= 200.0
 AND decimallatitude &gt;= 12.166598047573723
 AND decimallatitude &lt;= 16.25916876999866
 AND decimallongitude &gt;= 70.83067653341342
 AND decimallongitude &lt;= 76.74356973936868
 AND GBIF_Within('POLYGON ((76.743570 12.166598, 76.743570 16.259169, 70.830677 16.259169, 70.830677 12.166598, 76.743570 12.166598))', decimallatitude, decimallongitude) = TRUE
 

 The dataset's 32871 records were derived from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000213-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p1cpxxgm
title: MODFLOW 6 Groundwater Flow Model for the Iowa River Alluvial Aquifer near Tama, Iowa, 1980 through 2022

description: The U.S. Geological Survey constructed a groundwater flow model of the Iowa River alluvial aquifer and underlying hydrogeologic units near the Meskwaki Settlement in Tama County, Iowa, for the period of January 1980 to August 2022 to estimate the fraction of water pumped from the Iowa River alluvial aquifer by Meskwaki Settlement wells that is derived from streamflow depletion in the Iowa River and its tributaries.

Associated Scientific Investigations Report:
--------------------------------------
Goldstein, K.M.F., and Davis, K.W., 2025, Conceptual and numerical groundwater flow model of the Iowa River alluvial aquifer near Tama County, Iowa, 1980 through 2022: U.S. Geological Survey Scientific Investigations Report 2025-5086, 55 p., https://doi.org/10.3133/sir20255086.
DOI: 10.5066/p13thknr
title: Global gridded dataset of terrestrial biological nitrogen fixation across natural and agricultural biomes

description: This dataset includes global rasters of terrestrial biological nitrogen fixation (BNF) rates (in kg N/ha/y) for each major N-fixing niche in natural biomes (trees, shrubs, herbs, soil, litter, dead wood, ground mosses, biocrusts, and epiphytic lichens) and agricultural biomes (legume crops, forage legumes, and rice). It also includes total natural terrestrial, total agricultural, and total terrestrial BNF rasters. The dataset contains rasters with central and confidence interval values at 0.004 and 1-degree resolution.
DOI: 10.5066/p1qx6uxd
title: Wildfire building destruction and exposure in the conterminous United States, 2002-2022

description: Wildfires pose a major threat to human life and property, but there is limited information for assessing numbers or precise locations of building losses at a national scale. This geospatial dataset was developed to identify point locations of all buildings destroyed by or exposed to major wildfire disasters from 2002-2022. The data include all wildfire events in the conterminous United States where at least 10 buildings were destroyed (n=362). Using available building footprint data, we overlaid building points with pre- and post-fire aerial imagery in order to identify buildings that were burned or unburned. We included all buildings within wildfire perimeters, as well as within a 2.4-km buffer (representing the definition of the wildland-urban interface). We mapped building loss for 228 fires from 2014-2022 and also incorporated existing datasets for 2002-2013 (Alexandre et al., 2016; Kramer et al., 2018) and for a few fires from 2014-2018 (Caggiano et al., 2020), which we homogenized with our data. The data release includes a zipped folder containing a point shapefile for all digitized fires and a CSV table summarizing numbers of exposed and destroyed buildings for each fire. The combined dataset provides the first spatially precise assessment of wildfire building losses and exposure across the entire conterminous United States that allows for analysis of destruction trends over two decades.

Alexandre, P. M., Stewart, S. I., Keuler, N. S., Clayton, M. K., Mockrin, M. H., Bar-Massada, A., Syphard, A. D., & Radeloff, V. C. (2016). Factors related to building loss due to wildfires in the conterminous United States. Ecological Applications, 26(7), 2323–2338. https://doi.org/10.1002/eap.1376
Caggiano, M. D., Hawbaker, T. J., Gannon, B. M., & Hoffman, C. M. (2020). Building loss in WUI disasters: evaluating the core components of the wildland–urban interface definition. Fire, 3(4), 73. https://doi.org/10.3390/fire3040073
Kramer, H. A., Mockrin, M. H., Alexandre, P. M., Stewart, S. I., & Radeloff, V. C. (2018). Where wildfires destroy buildings in the US relative to the wildland–urban interface and national fire outreach programs. International Journal of Wildland Fire, 27(5), 329-341. https://doi.org/10.1071/WF17135
DOI: 10.5066/p13buxs5
title: Pathological findings by fixative time and formulation for Porites evermanni and Montipora capitata

description: Collections for histopathology in corals require holding of samples in seawater for a time before they are fixed for histopathology processing. This could adversely affect interpretation of morphologic changes during histopathology examinations. We evaluated microscopic morphology of Porites evermanni and Montipora capitata, held (0-120 min) in seawater prior to fixation in Z-Fix formulated with raw or artificial seawater. We saw no evident effects of treatments on microscopic morphology. However, among 88 statistical comparisons, and after accounting for false discovery rate, holding time prior to fixation was associated with a significant increase in degree of mucosity of basal body wall.
DOI: 10.5066/p13efcmw
title: Biological, Hydrological, Water Quality, and Land Use Data Inputs for Alabama Ecohydrology Study (10-01-1999 to 09-30-2014)

description: The effects of high- and low-flow conditions on biological communities in Alabama streams were investigated by utilizing data on benthic macroinvertebrates, fish communities, hydrology, land use, and water quality. Biological data from streams and rivers in the Mobile River basin and other Gulf Coast drainages was collected from 278 sites between 1999 and 2014. These sites' upstream drainage areas ranged from 1.1-2842.7 square-km in size. Hydrologic metrics were generated using predicted daily streamflow data from the Southeastern Precipitation Runoff Modeling System (PRMS) (La Fontaine et al., 2019). Standardized water-quality gradients were calculated based on sediment and nutrient outputs from the Southeastern Spatially Referenced Regression on Watershed Attributes (SPARROW) model (Roland and Hoos, 2020).

The biological datasets were compiled from samples collected by two state agencies: the Alabama Department of Environmental Management (ADEM) provided the benthic macroinvertebrate data, while the Geological Survey of Alabama (GSA) supplied the fish data. The benthic macroinvertebrate data included raw taxa counts, biological condition gradient (BCG) scores, and richness scores for Ephemeroptera, Plecoptera, and Trichoptera (EPT). The fish data included raw taxa counts and fish index of biological integrity scores. All biological, hydrological, and water-quality data were used to assess how land use-driven flow conditions impact the native aquatic communities of benthic macroinvertebrates and stream fishes in the Mobile Basin and other Gulf Coast drainages, both above and below the fall line in Alabama (Hubbell, 2025).
DOI: 10.5066/p1qpvdde
title: Whole Rock Major and Trace Element Chemistry for Igneous, Sedimentary, and Metamorphic Rocks from Eastern to Southwest Interior Alaska

description: This dataset consists of one table containing whole-rock geochemistry data for 926 rocks from eastern, central, and southwestern interior Alaska, plus analytical results for concurrently analyzed geochemical standard materials. All materials in the present study were analyzed by ALS Global between 2014 and 2025 using a range of different techniques, so multiple unique entries for a given element relate to different analytical methods or preparations, as detailed in accompanying metadata, and summarized in a supporting Data Dictionary tabular data file. Most samples analyzed in the present study were collected by U.S. Geological Survey researchers between 2014 and 2024, but the dataset also includes new analyses of legacy samples collected by the Alaska Department of Geological & Geophysical Surveys, the U.S. Bureau of Mines, and U.S. Geological Survey. Most legacy samples were analyzed during previous studies, but the original data are of varying quality due to a range of different analytical methods that often have higher detection limits and/or employ partial digestion methods. The original geochemical data and analytical method information for those analyses are compiled in Granitto et al. (2024). The data are formatted such that a null or empty cell indicates no analysis was conducted or the element concentration was not reportable by that method. A negative value indicates that the concentration was less than the lower detection limit of the method, with the numerical value indicating the detection limit. A positive value ending in .1111 indicates a concentration above the upper detection limit of the method.
DOI: 10.5066/p14kfdfc
title: Milwaukee Metropolitan Sewerage District nutrient connections project—In-stream nutrient cycling, 2022 data

description: Understanding sediment nutrient dynamics in the Milwaukee River Basin is important for assessing water quality and stream habitat. The Milwaukee River is a major tributary to Lake Michigan that provides clean drinking water for over one million people. Urban and agricultural runoff are linked to elevated loads of phosphorus, nitrogen, and sediment in the river. Excessive nutrients can impair water quality and cause excessive phytoplankton and cyanobacteria growth which in-turn can reduce oxygen levels affecting invertebrates and fish, as well as produce toxins harmful to humans and aquatic organisms. In-stream nutrient cycling can lower water column nutrient concentrations and improve water quality; stream sediments can store phosphorus long term and remove nitrogen permanently through microbially-mediated denitrification. However, stream sediments may also release phosphorus to the water column if they are saturated with phosphorus. This study quantified rates of biogeochemical processes in 24 sites within the Milwaukee River Basin and 8 sites outside the Milwaukee River Basin but within the Milwaukee River metropolitan area. Data from this study will provide baseline information about sediment nutrient dynamics in the Milwaukee River Basin and help assess the effectiveness of stream rehabilitation to retain phosphorus and remove nitrogen prior to the water reaching Lake Michigan.
DOI: 10.5066/p1cxiqni
title: Giving-up density experiments for two species of mammals in Florida, 2022

description: Invasive predators pose a substantial threat to global biodiversity. Native prey species frequently exhibit naïveté to the cues of invasive predators, and this phenomenon may contribute to the disproportionate impact of invasive predators on prey populations. However, not all species exhibit naïveté, which has led to the generation of many hypotheses to explain patterns in prey responses. These hypotheses primarily fall into two categories: system-centric hypotheses that relate to biogeographic isolation (BIH) and species-centric hypotheses, like the Archetype Similarity Hypothesis (ASH). We tested the predictions of these hypotheses by assessing the response of the common raccoon (Procyon lotor) and hispid cotton rat (Sigmodon hispidus), two native mammal species with divergent snake predation histories, to the cues of the invasive Burmese python (Python bivittatus) in Florida. Using giving-up densities (GUDs), we assessed the responses of both cotton rats and raccoons to life-size replicas of Burmese pythons and two North American predators (coyotes, Canis latrans, and eastern diamondback rattlesnake, Crotalus adamanteus). This Relative.GUD.Racoon dataset presents the results of giving-up density experiments conducted to assess raccoon responses to the visual cues of invasive Burmese pythons. Experiments were conducted in Paynes Prairie State Preserve Park (Alachua County, Florida, USA) in 2022. To quantify raccoon giving-up densities, we mixed 100 pieces of cat food with 1 liter of pine pellets. To minimize the influence of environmental variables on the treatments, we employed a blocked design, ensuring that each of the four predator treatments was represented in each cluster. This Relative.GUD.Rat dataset presents the results of giving-up density experiments conducted to assess hispid cotton rat responses to the visual cues of invasive Burmese pythons. Experiments were conducted in Paynes Prairie State Preserve Park (Alachua County, Florida, USA) in 2022. To quantify cotton rat giving-up densities, we mixed 25 ml of hulled millet with 1.5 liters of sifted sand. To minimize the influence of environmental variables on the treatments, we employed a blocked design, ensuring that each of the four predator treatments was represented in each cluster. We repeated treatments for three nights.
DOI: 10.5066/p144o8dx
title: Data describing the lack of Avian influenza infection and antibodies in Eastern Wild Turkeys (Meleagris gallopavo silvestris) sampled in Delmarva, USA

description: These data describe avian influenza sampling efforts for eastern wild turkeys (Meleagris gallopavo silvestris) across the Maryland portion of the Delmarva Peninsula, USA in the winter of 2023-2024