cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.25569603
title: Supporting data for: "Rainfall thresholds for postfire debris-flow initiation vary with short-duration rainfall climatology"

description: <pre><pre>README for supporting data for "Rainfall thresholds for postfire debris-flow initiation vary with short-duration rainfall climatology"<br>Cavagnaro, D.B., McCoy, S.W., Lindsay, D.N., McGuire, L.A., Kean, J.W., Trugman, D.T.<br><br>------<br>DATA:<br><br>DFObsHydroclimatePubNew_attributes.xlsx<br>Excel file containing data on each event as well as associated climatological metrics.<br><br>ROC_by_fire_computed.csv<br>CSV file containing computed thresholds for each fire as well as summary statistics of relevant metrics.<br><br>raster1yr15ma_10k2.txt<br>TXT file containing Atlas14 1yr 15min rainfall intensities for the full study area.<br><br>rasterprism_10k.txt<br>TXT file containing PRISM mean annual precipitation for the full study area.<br><br>a14_f2000.asc<br>TXT file containing Atlas14 1yr 15min rainfall intensities for burned areas.<br>All cells outside of burn perimeters are set to NULL (-9999).<br><br>prism_f2000_snapped.asc<br>TXT file containing PRISM mean annual precipitation for burned areas.<br>All cells outside of burn perimeters are set to NULL (-9999).<br><br>a14_f2000_10d.asc<br>ASC file containing Atlas14 1yr 15min rainfall intensities for burned areas above 10 degrees slope.<br>All cells outside of burn perimeters and/or less than 10 degrees slope are set to NULL (-9999).<br><br>prism_f2000_10d_snapped.asc<br>ASC file containing PRISM mean annual precipitation for burned areas above 10 degrees slope.<br>All cells outside of burn perimeters and/or less than 10 degrees slope are set to NULL (-9999).<br><br>GaugesForSyntheticExperiment folder<br>Folder containing CSV files of precipitation data for selected gauges across the study area.<br><br>------<br>CODES:<br><br>ThresholdFinder_PUBLIC.py<br>Uses ROC method to compute fire-wide thresholds and creates relevant figures.<br><br>ClimateKDE_PUBLIC.py<br>Plots kernel density distributions of climate parameters, calculates spatial density of observations, and creates relevant figure.<br><br>SyntheticThresholds_PUBLIC.py<br>Uses gauge data to perform synthetic threshold experiment and creates relevant supplemental figure.<br><br>HydroclimateDecisionTree_PUBLIC.py<br>Uses decision tree method to compute variable importance and creates relevant figure.</pre></pre>
DOI: 10.6084/m9.figshare.25569603.v4
title: Supporting data for: "Rainfall thresholds for postfire debris-flow initiation vary with short-duration rainfall climatology"

description: <pre><pre>README for supporting data for "Rainfall thresholds for postfire debris-flow initiation vary with short-duration rainfall climatology"<br>Cavagnaro, D.B., McCoy, S.W., Lindsay, D.N., McGuire, L.A., Kean, J.W., Trugman, D.T.<br><br>------<br>DATA:<br><br>DFObsHydroclimatePubNew_attributes.xlsx<br>Excel file containing data on each event as well as associated climatological metrics.<br><br>ROC_by_fire_computed.csv<br>CSV file containing computed thresholds for each fire as well as summary statistics of relevant metrics.<br><br>raster1yr15ma_10k2.txt<br>TXT file containing Atlas14 1yr 15min rainfall intensities for the full study area.<br><br>rasterprism_10k.txt<br>TXT file containing PRISM mean annual precipitation for the full study area.<br><br>a14_f2000.asc<br>TXT file containing Atlas14 1yr 15min rainfall intensities for burned areas.<br>All cells outside of burn perimeters are set to NULL (-9999).<br><br>prism_f2000_snapped.asc<br>TXT file containing PRISM mean annual precipitation for burned areas.<br>All cells outside of burn perimeters are set to NULL (-9999).<br><br>a14_f2000_10d.asc<br>ASC file containing Atlas14 1yr 15min rainfall intensities for burned areas above 10 degrees slope.<br>All cells outside of burn perimeters and/or less than 10 degrees slope are set to NULL (-9999).<br><br>prism_f2000_10d_snapped.asc<br>ASC file containing PRISM mean annual precipitation for burned areas above 10 degrees slope.<br>All cells outside of burn perimeters and/or less than 10 degrees slope are set to NULL (-9999).<br><br>GaugesForSyntheticExperiment folder<br>Folder containing CSV files of precipitation data for selected gauges across the study area.<br><br>------<br>CODES:<br><br>ThresholdFinder_PUBLIC.py<br>Uses ROC method to compute fire-wide thresholds and creates relevant figures.<br><br>ClimateKDE_PUBLIC.py<br>Plots kernel density distributions of climate parameters, calculates spatial density of observations, and creates relevant figure.<br><br>SyntheticThresholds_PUBLIC.py<br>Uses gauge data to perform synthetic threshold experiment and creates relevant supplemental figure.<br><br>HydroclimateDecisionTree_PUBLIC.py<br>Uses decision tree method to compute variable importance and creates relevant figure.</pre></pre>
DOI: 10.15468/dl.f6s42a
title: Occurrence Download

description: A dataset containing 453486 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is Poland",
 "Month is July",
 "TaxonKey is Animalia",
 "Year 2000-2025"
 ]
}

 The dataset includes 453486 records from 137 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005618-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/qer3-rd03
title: Uvmulti

description: This is a subset of the underwater video-level multi-task learning dataset UVMulti that we created for the paper submission. The complete dataset will be released when the paper is accepted. The file sequence represents the original video sequence, sequence_enh represents the corresponding underwater image enhancement annotation, mask represents the corresponding semantic segmentation annotation, depth represents the sparse depth annotation, and dense_depth represents the dense depth annotation.
DOI: 10.15468/dl.8j5qvj
title: Occurrence Download

description: A dataset containing 847909 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "GadmGid is USA.5.7_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2005-2017"
 ]
}

 The dataset includes 847909 records from 122 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005636-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z656k4
title: Occurrence Download

description: A dataset containing 89425 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "GadmGid is USA.5.7_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 1997-2004"
 ]
}

 The dataset includes 89425 records from 112 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005635-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a35pc9
title: Occurrence Download

description: A dataset containing 326 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Litsea elongata var. subverticillata (Yen C.Yang) Yen C.Yang & P.H.Huang"
 ]
}

 The dataset includes 326 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005646-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z4h3ca
title: Occurrence Download

description: A dataset containing 19161 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "DatasetKey is CSIC-Real Jardín Botánico-Anthos. Sistema de Información de las Plantas de España",
 "Geometry MULTIPOLYGON(((-2.66346 39.32265,-2.51112 39.34217,-2.37427 39.23282,-2.34989 39.27854,-2.32119 39.28374,-2.28854 39.22648,-2.16847 39.2811,-2.05096 39.26668,-2.09562 39.35942,-2.02033 39.35182,-1.9898 39.29368,-1.88708 39.30479,-1.76985 39.28051,-1.73928 39.32116,-1.49666 39.42703,-1.52878 39.4544,-1.49891 39.50166,-1.52105 39.54996,-1.46208 39.57662,-1.36853 39.68961,-1.31283 39.67048,-1.2721 39.68604,-1.27541 39.73864,-1.20004 39.85871,-1.20832 39.94391,-1.15295 39.96414,-1.14735 39.9886,-1.1682 40.01059,-1.24806 39.99506,-1.37686 40.0165,-1.4076 40.1014,-1.45621 40.13095,-1.43921 40.19701,-1.54048 40.1908,-1.69035 40.30966,-1.71818 40.27773,-1.7294 40.30097,-1.69736 40.32056,-1.77722 40.39141,-1.85396 40.42184,-1.92645 40.59407,-1.96446 40.61152,-1.98553 40.58543,-2.15694 40.65869,-2.16925 40.63023,-2.21382 40.61918,-2.2746 40.64475,-2.29766 40.57284,-2.34344 40.56938,-2.39951 40.61351,-2.41728 40.58345,-2.38345 40.54087,-2.49597 40.50881,-2.53871 40.53402,-2.54445 40.47463,-2.50453 40.44865,-2.51546 40.42428,-2.67316 40.44861,-2.70345 40.42538,-2.68513 40.398,-2.71743 40.41982,-2.7229 40.39712,-2.78032 40.44476,-2.81697 40.36402,-2.80263 40.26403,-2.82153 40.20518,-2.91148 40.15708,-3.00568 40.20887,-3.01597 40.15271,-3.09737 40.15435,-3.06071 40.09056,-3.17023 40.04814,-3.14257 39.98496,-3.09624 39.98702,-3.12723 39.87468,-3.07629 39.85571,-2.99775 39.71887,-2.90823 39.64233,-2.9358 39.49382,-2.93241 39.4525,-2.87032 39.39084,-2.89397 39.35855,-2.84717 39.34807,-2.78665 39.39729,-2.74293 39.3183,-2.66346 39.32265)))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 19161 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005647-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t9jpdj
title: Occurrence Download

description: A dataset containing 162 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bulbophyllum involutum Borba, Semir & F.Barros"
 ]
}

 The dataset includes 162 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005648-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5285/309c1515-fa82-9946-e063-7086abc00405
title: Temperature data (mean, min, max temperatures etc.) and topographic complexity data (rugosity, fractal dimension) obtained from thermal imaging and 3D model analysis of six panel designs of the 'Living Seawalls in Plymouth' installation, Devon, UK (August - September 2023).

description: This dataset contains temperature data (mean, min, max temperatures etc.) and topographic complexity data (rugosity, fractal dimension) obtained from thermal imaging and 3D model analysis of six panel designs of the 'Living Seawalls in Plymouth' installation in Plymouth, Devon (UK). Data were obtained by Franz Bauer (University of Plymouth) in August/September 2023 through in-situ thermal imaging in the intertidal zone (2-4 m above chart datum). The data were collected to understand the topographic properties that drive scale-dependent thermal patterns on different panel designs of an intertidal eco-engineering installation. These data were generated as part of the PhD project titled "Retrospective optimisation of multifunctionality on coastal urban infrastructure", funded by the Natural Environment Research Council ARIES Doctoral Training Partnership (grant number NE/S007334/1), University of Plymouth and Arup. For further information, please see the associated research paper: https://doi.org/10.1016/j.ecoleng.2025.107596.
DOI: 10.15468/dl.rnd8ec
title: Occurrence Download

description: A dataset containing 91 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pristimantis paulodutrai (Bokermann, 1975)"
 ]
}

 The dataset includes 91 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005649-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bumx9r
title: Occurrence Download

description: A dataset containing 182 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pristimantis ramagii (Boulenger, 1888)"
 ]
}

 The dataset includes 182 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005650-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5773c5
title: Occurrence Download

description: A dataset containing 3007261543 species occurrences available in GBIF matching the query:
{
 "Year" : [
 "1746-2025"
 ]
}

 The dataset includes 3007261543 records from 64751 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005580-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13145/bacdive151362.20251217.10
title: Peptoniphilus sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive151363.20241212.9.2
title: Shigella flexneri

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0139074.10fu
title: SH0139074.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.13145/bacdive151363.20251217.10
title: Shigella flexneri

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive151364.20241212.9.2
title: Bifidobacterium dentium

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0139075.10fu
title: SH0139075.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.13145/bacdive151364.20251217.10
title: Bifidobacterium dentium

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive151365.20241212.9.2
title: Aerococcus urinae

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0139076.10fu
title: SH0139076.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.13145/bacdive151365.20251217.10
title: Aerococcus urinae

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0139077.10fu
title: SH0139077.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.13145/bacdive151366.20241212.9.2
title: Capnocytophaga canimorsus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive151366.20251217.10
title: Capnocytophaga canimorsus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0139078.10fu
title: SH0139078.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.13145/bacdive151367.20241212.9.2
title: Leptotrichia buccalis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive151367.20251217.10
title: Leptotrichia buccalis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0139079.10fu
title: SH0139079.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.13145/bacdive151368.20241212.9.2
title: Streptococcus equi subsp. zooepidemicus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive151368.20251217.10
title: Streptococcus equi subsp. zooepidemicus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0139080.10fu
title: SH0139080.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.