cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/p98q4cdh
title: Compilation of runoff-generated debris-flow inventories for 17 fires across Arizona, California, Colorado, New Mexico, and Washington, USA

description: Summary
This data release is an inventory of runoff-generated postfire debris flows compiled from 17 burn areas across five western U.S. states. Debris-flow data from the following fires are included:
Arizona: 2017 Pinal and 2019 Woodbury Fires
California: 2020 Apple, 2020 Bond, 2015 Butte, 2020 El Dorado, 2014 El Portal, 2018 Ferguson, 2016 Fish (San Gabriel Complex), 2011 Motor, and 2017 Thomas Fires
Colorado: 2020 Cameron Peak and 2018 Spring Creek Fires
New Mexico: 2018 Buzzard Fire
Washington: 2021 Cedar Creek, 2021 Cub Creek 2, and 2021 Muckamuck Fires

The included table, &ldquo;Combined_Inventory.csv&rdquo;, contains debris-flow records represented as &ldquo;1&rdquo; or &ldquo;0&rdquo;, indicating whether a debris flow did occur or did not occur, respectively, in response to a given storm. In addition, for each observation, the corresponding fire name, observation location, storm date, and rainfall intensities are included. The &ldquo;README.txt&rdquo; file describes the fields (including units) for &ldquo;Combined_Inventory.csv&rdquo; in more detail. &quot;0&quot; values in the &quot;Response&quot; column indicate that no debris flow was observed, but a hydrologic response with lower sediment content may or may not have occurred.

Assembling these data in a unified format involved a combination of compiling data from published sources and synthesizing new debris-flow records from observations made by US Geological Survey staff and partners. All records in the included file, &quot;Combined_Inventory.csv&quot;, are credited, according to the individuals or publications that provided the observation information, in the column labeled &ldquo;ObservationSource&rdquo;. To the best of our knowledge, all records included here correspond to debris flows generated by runoff, not by other mechanisms. These records have only limited spatial and temporal extent: they should not be taken as a comprehensive record of the hydrologic response in every catchment in response to every postfire storm. Fields with value &ldquo;-9999&rdquo; indicate that data are not available or do not exist.

Data Credits
Special thanks go to many colleagues who provided or helped to assemble debris-flow observation and/or rainfall data, including: Ann Youberg (Arizona Geological Survey); Paul Burgess, Jeremy Lancaster, Don Lindsay, John Oswald, and Brian Swanson (California Geological Survey); Chad Neptune (California State Water Resources Control Board); Stephanie Kampf, Lee MacDonald, Megan Sears, and Ellen Wohl (Colorado State University); Luke McGuire (University of Arizona); Maya Daurio (University of British Columbia); Laura Hempel, Jason Kean, Francis Rengers, Brittany Selander, and Matthew Thomas (U.S. Geological Survey); and Mitchell Allen and Kate Mickelson (Washington Geological Survey).
DOI: 10.15468/dl.3rycd2
title: Occurrence Download

description: A dataset containing 31146 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((-113.62876 41.92793,-110.99793 41.92793,-110.99793 44.40548,-113.62876 44.40548,-113.62876 41.92793))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 31146 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036065-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m3eqb9
title: Occurrence Download

description: A dataset containing 136 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-95.40213 28.64716,-88.40802 28.64716,-88.40802 33.42177,-95.40213 33.42177,-95.40213 28.64716))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Fraxinus americana L."
 ]
}

 The dataset includes 136 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036066-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eane2a
title: Occurrence Download

description: A dataset listing the 10 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhinichthys obtusus Agassiz, 1854"
 ]
}

 The dataset's 10 records were derived from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036059-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21949/rnzq-9p83
title: Weigh-in-Motion Stations WFS
DOI: 10.6084/m9.figshare.27138981
title: Statistical analysis

description: The integration of AI in the evaluation of Chest X-rays could assist clinicians and enhance accuracy and workflows. We evaluated sensitivity (Se) and specificity (Sp) of an AI software and a radiology resident in interpreting Chest X-ray examinations referred from the Emergency Department (ED) against a senior radiologist (Gold Standard, GS). We also assessed the concordance rate between AI and the resident, described the frequency of doubtful cases in each category and determine how many were considered positive by the GS and evaluated other variables AI is not trained to detect. We conducted an observational, retrospective study, analyzing thoracic radiographs from a sample of 784 patients referred from the ED at our hospital. AI is trained to detect five categorical variables (pulmonary nodule, pulmonary opacity, pleural effusion, pneumothorax, and fracture) and associate them with a confidence label ("positive," "doubtful," or "negative"). Se for fracture and pneumothorax was high (100%), moderate for pulmonary opacity (AI= 76%, resident= 71%), and reasonable for pleural effusion (AI= 60%, resident=67%), with NPV&gt;95% and AUC&gt;0.8. For pulmonary nodule, the resident's Se was moderate (75%), while AI's was low (33%). When AI doubted, only a few of these doubtful diagnoses were considered positive by the GS. The resident doubted less. The Kappa Coefficient between resident and AI was fair (0.3) for all variables, except for pleural effusion, which was moderate (0.5). The prevalence of other variables was: 16% mediastinal abnormalities, 20% surgical material, and 20% other pulmonary findings. AI would be useful to detect most of the aforementioned items, except for pulmonary nodules. Its high NPV stands out, making it useful for screening. When AI doubts, most of the findings are negative. It would be useful to train AI to detect additional findings.
DOI: 10.6084/m9.figshare.27138987
title: Educational Motivation Barranquilla

description: This data shows the answers from 1260 students in Public High Schools
DOI: 10.6084/m9.figshare.27138987.v1
title: Educational Motivation Barranquilla

description: This data shows the answers from 1260 students in Public High Schools
DOI: 10.15468/dl.gb8fan
title: Occurrence Download

description: A dataset containing 167 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-94.8988 28.81321,-88.84891 28.81321,-88.84891 32.95483,-94.8988 32.95483,-94.8988 28.81321))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Fraxinus pennsylvanica Marshall"
 ]
}

 The dataset includes 167 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036068-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6073/pasta/0946eb3640db62220fadb54fe3fe1bcb
title: Surface Elevation (SET) Data for Brownsville Forest at the Virginia Coastal Reserve, 2019

description: This dataset contains data from Surface Elevation Tables (SETs) located in the Brownsville Forest at the Virginia Coastal Reserve. These research plots were set up in 2019 as a part of a larger forest disturbance project. Marker Horizons and Shallow SETs were installed in 2020 but have not yet been measured. Tyler Messerschmidt has made all measurements of these SETs
DOI: 10.15468/dl.3gpesu
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "OccurrenceStatus is Present",
 "TaxonKey is Amanita tullossii Guzmán & Ram.-Guill.",
 "Year 2000-2024"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036069-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p13vdapa
title: Digitized Legacy Maps of Surficial Geology and Morphology of the Central Arctic Coastal Plain, Alaska

description: This dataset represents a digitized version of the Rawlinson 1993 surficial geologic map of the Flaxman Island and Beechy Point quadrangles, and portions of the Mount Michelson and Harrison Bay quadrangles at 1:63,360 scale. In this newly digitized version of the map, the original maps were scanned, georeferenced, and projected into GIS. Approximately 100-200 typographic and labelling errors from the paper version were corrected with inputs from the original author (corrections completed in 2024). However, this digitized product still adheres to the 1993 interpretation of the surficial geology. Original descriptions of the map units can be found with the 1993 publication (https://doi.org/10.14509/2484). The original 1993 map was generated via photointerpretation done manually on acetate sheets overlain on color infrared aerial photographs, aided by a stereoscope, and then manually transferred to a map base using a zoom-transfer scope. Only low-resolution 1:250,000-scale black-and-white Landsat imagery was available for reference in the 1980s when the mapping was completed. After photointerpretation, the surficial geology units and morphology information was field spot-checked, with extensive fieldwork occurring between 1981 and 1985. As part of the fieldwork, locations with exposure along coasts, rivers, and gravel pits were prioritized, with 464 stratigraphic sections measured and described, and 678 samples collected for analyses that included grain size, radiocarbon and thermoluminescence dating, amino acid analysis in mollusk shells and wood, identification of wood types, and microfossil and pollen contents. An important note of caution to users is that this digitized product represents the 1993 interpretation of surficial geology. Modifications to the 1993 product address typographic errors and do not consider re-interpretations of the surficial geological units since then, and more recent information about the regional surficial geology is available.
DOI: 10.15468/dl.u6sk7b
title: Occurrence Download

description: A dataset containing 0 records in GBIF matching the query:
SELECT datasetKey, license, COUNT(*) AS n FROM occurrence WHERE iucnRedListCategory IN ('NT','VU','EN','CR','EW','EX','LC') AND occurrenceStatus = 'PRESENT' AND countryCode = 'ES' AND "year" &gt;= 1980 AND classKey IN (7705930) AND hasCoordinate = TRUE AND (coordinateUncertaintyInMeters &lt;= 1000 OR coordinateUncertaintyInMeters IS NULL) AND speciesKey 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 "month" IS NOT NULL GROUP BY datasetKey, license

 The dataset's 0 records were derived from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036067-240906103802322/datasets/export for details.
DOI: 10.6084/m9.figshare.27138993
title: Sandfoss et al. 2024_Theriogenology Wild

description: Raw data files that were not included in the published article.
DOI: 10.6084/m9.figshare.27138993.v1
title: Sandfoss et al. 2024_Theriogenology Wild

description: Raw data files that were not included in the published article.
DOI: 10.15468/dl.wzwxrg
title: Occurrence Download

description: A dataset containing 251744 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Herbarium - Instituto Nacional de Pesquisas da Amazônia (INPA)"
 ]
}

 The dataset includes 251744 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036062-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p134muuu
title: Enhanced Terrain Imagery of the Binghamton 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution

description: This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Binghamton 30 x 60 minute quadrangle in New York. The source data used to construct this imagery consists of 1-meter lidar-derived digital elevation models (DEMs). The lidar source data were compiled from different acquisitions published between 2017 and 2022. The data were processed using geographic information systems (GIS) software. The data is projected in WGS 1984. This representation illustrates the terrain as a hillshade with contrast adjusted to highlight local relief according to a topographic position index (TPI) calculation.
DOI: 10.15468/dl.yun6sd
title: Occurrence Download

description: A dataset containing 640 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC0 1.0, CC-BY 4.0)",
 "TaxonKey is Tremarctos ornatus (F.G.Cuvier, 1825)"
 ]
}

 The dataset includes 640 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036070-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13864058
title: WP3/3.4/KUL/COOLFLuiD_BO_31_05_2024

description: The folder contains the tecplot layouts, simulation data and test cases used by KU Leuven to generate data for WP 3.4 report.
DOI: 10.5281/zenodo.13864059
title: WP3/3.4/KUL/COOLFLuiD_BO_31_05_2024

description: The folder contains the tecplot layouts, simulation data and test cases used by KU Leuven to generate data for WP 3.4 report.
DOI: 10.5281/zenodo.13862442
title: Aerial RGB and Thermal Infrared (TIR) Images of Vineyards and Pseudo-coloring RGB Images of the Plant's Stressed Areas.

description: This dataset consists of 375 high-resolution visible-spectrum (RGB) and 375 thermal infrared (TIR) images of a vineyard (Vitis vinifera L.) captured by a Unmanned Aerial Vehicle (UAV) carrying TIR and RGB sensors. Also, the dataset contains 375 RGB images with pseudo-coloring where plants' stressed areas exist, aligned, and cropped based on the TIR images' Field of View (FOV).
DOI: 10.5281/zenodo.13862443
title: Aerial RGB and Thermal Infrared (TIR) Images of Vineyards and Pseudo-coloring RGB Images of the Plant's Stressed Areas.

description: This dataset consists of 375 high-resolution visible-spectrum (RGB) and 375 thermal infrared (TIR) images of a vineyard (Vitis vinifera L.) captured by a Unmanned Aerial Vehicle (UAV) carrying TIR and RGB sensors. Also, the dataset contains 375 RGB images with pseudo-coloring where plants' stressed areas exist, aligned, and cropped based on the TIR images' Field of View (FOV).
DOI: 10.15472/qglfgq
title: Biodiversidad registrada en el área de influencia del programa Río Saldaña una Cuenca de Vida en el departamento del Tolima

description: Río Saldaña una Cuenca de Vida es una alianza público-privada entre Parques Naturales Nacionales de Colombia (PNN), La Corporación Autónoma Regional del Tolima (CORTOLIMA), Fundación Grupo Argos (FGA), Concreto Argos (CA) y Wildlife Conservation Society (WCS) cuyo objetivo es conservar la biodiversidad y los servicios ecosistémicos asociados a los recursos de agua dulce, los cuales contribuyen al bienestar de las poblaciones locales en las subcuencas Amoyá, Alto Saldaña-Siquila y Cucuana pertenecientes a la cuenca del río Saldaña. Este recurso contiene información de la flora y fauna (aves, mamíferos, reptiles y anfibios) tomadas desde el 2019 en el marco del programa Río Saldaña una Cuenca de Vida en la zona rural de los municipios de Chaparral (Corregimiento San José de Las Hermosas), Roncesvalles y Planadas del departamento del Tolima. Contiene 1685 registros biológicos, distribuidos en 293 plantas, 1064 aves, 280 mamíferos, 6 reptiles y 42 anfibios.
DOI: 10.15468/dl.6mj4bk
title: Occurrence Download

description: A dataset containing 1078 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-94.68928 28.76973,-88.62856 28.76973,-88.62856 32.9393,-94.68928 32.9393,-94.68928 28.76973))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Diospyros virginiana L."
 ]
}

 The dataset includes 1078 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036073-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13864072
title: UAV LiDAR and trajectory data from Antiochia ad Cragum

description: This data set includes LiDAR and trajectory data from four flights of an area located roughly north-east of the Small Bath Area at Antiochia ad Cragum in south-central Turkey in 2022 using a custom LIDAR sensor built with a Livox Mid-40 LiDAR camera and open source hardware and software from the OpenMMS project. Each zip file includes two adjacent flights oriented either principally east-west or north-south. The four flights together offer overlapping coverage of the area. In addition to the LiDAR files trajectory information collected with an AceInna OpenIMU and two Ublox ZED-F9P GNSS modules is included.
DOI: 10.5281/zenodo.13864073
title: UAV LiDAR and trajectory data from Antiochia ad Cragum

description: This data set includes LiDAR and trajectory data from four flights of an area located roughly north-east of the Small Bath Area at Antiochia ad Cragum in south-central Turkey in 2022 using a custom LIDAR sensor built with a Livox Mid-40 LiDAR camera and open source hardware and software from the OpenMMS project. Each zip file includes two adjacent flights oriented either principally east-west or north-south. The four flights together offer overlapping coverage of the area. In addition to the LiDAR files trajectory information collected with an AceInna OpenIMU and two Ublox ZED-F9P GNSS modules is included.
DOI: 10.5281/zenodo.8072519
title: Dataset for "Responses of Soil Greenhouse Gas Fluxes to Land Management in Forests and Grasslands : A Global Meta-analysis"

description: This dataset archives the original data for the study "Responses of Soil Greenhouse Gases Fluxes to Land Management in Forests and Grasslands: A Global Meta-analysis".
DOI: 10.5281/zenodo.8072520
title: Dataset for "Responses of Soil Greenhouse Gas Fluxes to Land Management in Forests and Grasslands : A Global Meta-analysis"

description: This dataset archives the original data for the study "Responses of Soil Greenhouse Gases Fluxes to Land Management in Forests and Grasslands: A Global Meta-analysis".
DOI: 10.15468/dl.tq4qcc
title: Occurrence Download

description: A dataset containing 588 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Caenolestidae"
 ]
}

 The dataset includes 588 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036075-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.3401724
title: NEBNext Ultra II Directional RNA Qualification Data

description: This is some of the data supporting the release of the NEBNext Ultra II Directional RNA kit (E7760, E7765).

Libraries were produced using NEBNext ribosomal RNA depletion from UHRR (Agilent: 740000) inputs as labeled.
DOI: 10.5281/zenodo.3401725
title: NEBNext Ultra II Directional RNA Qualification Data

description: This is some of the data supporting the release of the NEBNext Ultra II Directional RNA kit (E7760, E7765).

Libraries were produced using NEBNext ribosomal RNA depletion from UHRR (Agilent: 740000) inputs as labeled.
DOI: 10.15468/dl.nthtwe
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-2110.0",
 "TaxonKey is Apodora papuana (Peters & Doria, 1878)"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036076-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7v7gh2
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-1090.0",
 "TaxonKey is Apodora papuana (Peters & Doria, 1878)"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036077-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c51r6nc1z
title: MassIVE MSV000095995 - Establishing a Top-Down Proteomics Platform on a Time-of-Flight Instrument with Electron-Activated Dissociation
title: . Top-down proteomics is the study of intact proteins and their post-translational modifications with mass spectrometry. Historically, this field is more challenging than its bottom-up counterpart because the species are much bigger and have a larger number of possible combinations of sequences and modifications, thus there is a great need for technological development. With improvements in instrumentation and a multiplicity of fragmentation modes available, top-down proteomics is quickly gaining in popularity with renewed attention on increasing confidence in identification and quantification. Here, we systematically evaluated the Sciex ZenoTOF 7600 system for top-down proteomics, applying standards in the field to validate the platform and further experimenting with its capabilities in electron-activated dissociation and post-translational modification site localization. The instrument demonstrated robustness in standard proteins for platform QC, as aided by zeno-trapping. We were also able to apply this to histone post-translational modifications, achieving high sequence coverage that allowed PTMs site-localization across protein sequences with optimized EAD fragmentation. We demonstrated the ability to analyze proteins spanning the mass range and included analysis of glycosylated proteins. This is a reference point for future top-down proteomics experiments to be conducted on the ZenoTOF 7600 system.
DOI: 10.15468/dl.sdchhn
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Brazil, Argentina, Paraguay)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Handroanthus arianeae (A.H.Gentry) S.O.Grose"
 ]
}

 The dataset includes 11 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036078-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/9519514
title: US counties COVID 19 dataset