cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.fwj887
title: Occurrence Download

description: A dataset containing 398 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phyllodoce aleutica (Spreng.) A.Heller",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is Japan"
 ]
}

 The dataset includes 398 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008983-240216155721649/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jrrcy6
title: Occurrence Download

description: A dataset containing 72 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gymnosporia berberoides W.W.Sm."
 ]
}

 The dataset includes 72 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008972-240216155721649/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fp6z48
title: Occurrence Download

description: A dataset containing 749041 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Africa, North America)",
 "Country is Nigeria",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (EX, EW, CR, EN, VU, NT, LC, NE, DD)",
 "Year 1974-2024"
 ]
}

 The dataset includes 749041 records from 235 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008941-240216155721649/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xpupnr
title: Occurrence Download

description: A dataset listing the 241 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-75.4664 4.42864,-75.41446 4.41131,-75.40887 4.44845,-75.4486 4.46558,-75.4664 4.42864))",
 "HasGeospatialIssue is false",
 "TaxonKey is Chordata"
 ]
}

 The dataset's 241 records were derived from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016953-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.auufg2
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pauxi unicornis J.Bond & Meyer de Schauensee, 1939"
 ]
}

 The dataset includes 46 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008974-240216155721649/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4eajyn
title: Occurrence Download

description: A dataset containing 1436 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Terminalia triflora (Griseb.) Lillo, Terminalia reitzii Exell, Terminalia uleana Engl. ex Alwan & Stace, Chuncoa triflora Griseb.)"
 ]
}

 The dataset includes 1436 records from 127 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016964-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9speum
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gymnosporia esquirolii H.Lév."
 ]
}

 The dataset includes 24 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008973-240216155721649/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f8u7q5
title: Occurrence Download

description: A dataset containing 430 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Taricha torosa sierrae (Twitty, 1942)"
 ]
}

 The dataset includes 430 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008969-240216155721649/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hmg3g3
title: Occurrence Download

description: A dataset containing 91 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acalypha tenuifolia Müll.Arg."
 ]
}

 The dataset includes 91 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008964-240216155721649/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mskkkj
title: Occurrence Download

description: A dataset containing 241 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "TaxonKey is Nymphargus grandisonae (Cochran & Goin, 1970)"
 ]
}

 The dataset includes 241 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008942-240216155721649/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qxa9qk
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anabasis aphylla L.",
 "HasCoordinate is true",
 "Continent is Europe",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000",
 "CoordinateUncertaintyInMeters is less than 10000"
 ]
}

 The dataset includes 39 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008898-240216155721649/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c5j35m
title: Occurrence Download

description: A dataset listing the 9 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry MULTIPOLYGON(((-5.4823 36.11497,-5.49008 36.11531,-5.49555 36.11274,-5.49243 36.11217,-5.48895 36.11472,-5.48694 36.11404,-5.48173 36.11451,-5.4823 36.11497)))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 9 records were derived from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050987-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.drku5g
title: Occurrence Download

description: A dataset containing 21533 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hibiscus trionum"
 ]
}

 The dataset includes 21533 records from 532 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050995-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wb67hr
title: Occurrence Download

description: A dataset containing 9427 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Myotis annamiticus, Myotis annatessae, Myotis annectans, Myotis ater, Myotis badius, Myotis blythii, Myotis chinensis, Myotis csorbai, Myotis davidii, Myotis federatus, Myotis fimbriatus, Myotis formosus, Myotis frater, Myotis hasseltii, Myotis hermani, Myotis horsfieldii, Myotis indochinensis, Myotis laniger, Myotis longipes, Myotis montivagus, Myotis muricola, Myotis nipalensis, Myotis peytoni, Myotis pilosus, Myotis ridleyi, Myotis rosseti, Myotis rufoniger, Myotis sicarius, Myotis siligorensis, Naemorhedus baileyi)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 9427 records from 323 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050997-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17920917
title: BioDiv_Biodiversity_Deadwood_Drill Dust Analysis_2025

description: BioDiv is the continuous longterm biodiversity monitoring of the Bavarian national parks. The data is available for each year since 2021.

On each of the 15 BioDiv plots (Set 2), 10 suitable objects of standing and lying deadwood were selected and sampled. The collected drill dust is intended for metabarcoding analysis of wood decomposer organisms.
DOI: 10.5281/zenodo.17920918
title: BioDiv_Biodiversity_Deadwood_Drill Dust Analysis_2025

description: BioDiv is the continuous longterm biodiversity monitoring of the Bavarian national parks. The data is available for each year since 2021.

On each of the 15 BioDiv plots (Set 2), 10 suitable objects of standing and lying deadwood were selected and sampled. The collected drill dust is intended for metabarcoding analysis of wood decomposer organisms.
DOI: 10.15468/dl.fuyu48
title: Occurrence Download

description: A dataset containing 1959 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Naemorhedus goral, Nectogale elegans, Neodon clarkei, Neodon forresti, Neodon irene, Neodon sikimensis, Neofelis nebulosa, Neohylomys, Neotetracus sinensis, Nesokia indica, Nesolagus timminsi, Nilgiritragus hylocrius, Niviventer andersoni, Niviventer brahma, Niviventer cameroni, Niviventer confucianus, Niviventer cremoriventer, Niviventer eha, Niviventer excelsior, Niviventer fulvescens, Niviventer hinpoon, Niviventer langbianis, Niviventer niviventer, Niviventer tenaster, Nomascus annamensis, Nomascus concolor, Nomascus gabriellae, Nomascus leucogenys, Nomascus nasutus, Nomascus siki)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 1959 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050999-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tdu5ks
title: Occurrence Download

description: A dataset containing 11158 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Malvastrum americanum"
 ]
}

 The dataset includes 11158 records from 293 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051000-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30579449
title: Global prevalence of hypervirulent <i>Klebsiella pneumoniae</i>: a systematic review and meta-analysis

description: The primary purpose of this study was to estimate the global prevalence of <i>K. pneumoniae</i> (hvKp). isolates. To obtain relevant data on the prevalence of hvKp strains, we searched Scopus, PubMed, Web of Science, and EMBASE. Compatible studies published in English during the last 20 years were included. We analyzed the data using a random-effects model. We assessed heterogeneity using the τ2 statistic and the DerSimonian-Laird estimator. 2427 records were gathered from 174 studies, examining 40,024 isolates to assess the hvKp prevalence. The prevalence of hvKp was 0.257 (95%CI, 0.225, 0.291). The subgroup analysis based on continents observed that the American had a minimal prevalence rate of 4.9%, whereas Africa reported a maximum rate of 27.2%. Moreover, the subgroup analysis based on countries presents the lowest rate in Mexico (1.1%) and Denmark, with the highest rate at 83.3%. No evidence of funnel plot asymmetry was detected, indicating no significant publication bias. In addition, no significant trend over time was reported. This issue represents a growing clinical concern worldwide and is considered a serious alarm in treating infections caused by hvKp. Therefore, drug administration management and hospital infection control measures are strongly felt.
DOI: 10.6084/m9.figshare.30579449.v1
title: Global prevalence of hypervirulent <i>Klebsiella pneumoniae</i>: a systematic review and meta-analysis

description: The primary purpose of this study was to estimate the global prevalence of <i>K. pneumoniae</i> (hvKp). isolates. To obtain relevant data on the prevalence of hvKp strains, we searched Scopus, PubMed, Web of Science, and EMBASE. Compatible studies published in English during the last 20 years were included. We analyzed the data using a random-effects model. We assessed heterogeneity using the τ2 statistic and the DerSimonian-Laird estimator. 2427 records were gathered from 174 studies, examining 40,024 isolates to assess the hvKp prevalence. The prevalence of hvKp was 0.257 (95%CI, 0.225, 0.291). The subgroup analysis based on continents observed that the American had a minimal prevalence rate of 4.9%, whereas Africa reported a maximum rate of 27.2%. Moreover, the subgroup analysis based on countries presents the lowest rate in Mexico (1.1%) and Denmark, with the highest rate at 83.3%. No evidence of funnel plot asymmetry was detected, indicating no significant publication bias. In addition, no significant trend over time was reported. This issue represents a growing clinical concern worldwide and is considered a serious alarm in treating infections caused by hvKp. Therefore, drug administration management and hospital infection control measures are strongly felt.
DOI: 10.5281/zenodo.17387934
title: TinyGraphEstimator dataset
DOI: 10.5281/zenodo.17387956
title: TinyGraphEstimator dataset
DOI: 10.15468/dl.phuntd
title: Occurrence Download

description: A dataset containing 375527 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((119.35404 29.51223,120.97362 29.51223,120.97362 30.74589,119.35404 30.74589,119.35404 29.51223))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 375527 records from 281 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050925-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17464026
title: Svalbox-DOM_2025-0001

description: Model description: Digital outcrop model of the south-western peak of Løyndfjellet, Andrée Land, Svalbard archipelago.Data availability:All uploaded archives are to be extracted to the same directory for a functional working environment, i.e., at the very least consisting of a project folder with the data and metashape subdirectories. The included processing report specifies the processing parameters that were used as input for the processing software (Agisoft Metashape, v2.2.1.20641).Exported model data use CRS epsg:32633.Show and visualise on Svalbox.no:Through Svalbox we aim to take geoscientific research and education to the next level – with the simple motto of placing all key information and data sets in their correct spatial position. We bring modern technology, in particular cost-effective digital outcrops, to complement more than 200 years of geoscientific research on Svalbard. Finally, Svalbox provides a sustainable platform for sharing results, workflows and teaching material with the wider geoscientific community.For more information, contact the Svalbox team at svalbox[at]gmail.com.This data set forms part of the Svalbox Digital Model Database.Please cite the database alongside this resource:Betlem, Peter and Rodes, Nil and Birchall, Thomas and Dahlin, Anders and Smyrak-Sikora, Aleksandra and Senger, Kim. The Svalbox Digital Model Database: A Geoscientific Window into the High Arctic. Geosphere (2023) 19 (6): 1640-1666. https://doi.org/10.1130/GES02606.1
DOI: 10.5281/zenodo.17464027
title: Svalbox-DOM_2025-0001

description: Model description: Digital outcrop model of the south-western peak of Løyndfjellet, Andrée Land, Svalbard archipelago.Data availability:All uploaded archives are to be extracted to the same directory for a functional working environment, i.e., at the very least consisting of a project folder with the data and metashape subdirectories. The included processing report specifies the processing parameters that were used as input for the processing software (Agisoft Metashape, v2.2.1.20641).Exported model data use CRS epsg:32633.Show and visualise on Svalbox.no:Through Svalbox we aim to take geoscientific research and education to the next level – with the simple motto of placing all key information and data sets in their correct spatial position. We bring modern technology, in particular cost-effective digital outcrops, to complement more than 200 years of geoscientific research on Svalbard. Finally, Svalbox provides a sustainable platform for sharing results, workflows and teaching material with the wider geoscientific community.For more information, contact the Svalbox team at svalbox[at]gmail.com.This data set forms part of the Svalbox Digital Model Database.Please cite the database alongside this resource:Betlem, Peter and Rodes, Nil and Birchall, Thomas and Dahlin, Anders and Smyrak-Sikora, Aleksandra and Senger, Kim. The Svalbox Digital Model Database: A Geoscientific Window into the High Arctic. Geosphere (2023) 19 (6): 1640-1666. https://doi.org/10.1130/GES02606.1
DOI: 10.5281/zenodo.17681232
title: Svalbox-DOM_2025-0003

description: Model description: Digital outcrop model of Halvdanpiggen, Haakon VII Land, Svalbard archipelago. Wood Bay Formation, volcanic, vegetation.Data availability:All uploaded archives are to be extracted to the same directory for a functional working environment, i.e., at the very least consisting of a project folder with the data and metashape subdirectories. The included processing report specifies the processing parameters that were used as input for the processing software (Agisoft Metashape, v2.2.1.20641).Exported model data use CRS epsg:32633.Show and visualise on Svalbox.no:Through Svalbox we aim to take geoscientific research and education to the next level – with the simple motto of placing all key information and data sets in their correct spatial position. We bring modern technology, in particular cost-effective digital outcrops, to complement more than 200 years of geoscientific research on Svalbard. Finally, Svalbox provides a sustainable platform for sharing results, workflows and teaching material with the wider geoscientific community.For more information, contact the Svalbox team at svalbox[at]gmail.com.This data set forms part of the Svalbox Digital Model Database.Please cite the database alongside this resource:Betlem, Peter and Rodes, Nil and Birchall, Thomas and Dahlin, Anders and Smyrak-Sikora, Aleksandra and Senger, Kim. The Svalbox Digital Model Database: A Geoscientific Window into the High Arctic. Geosphere (2023) 19 (6): 1640-1666. https://doi.org/10.1130/GES02606.1
DOI: 10.5281/zenodo.17681231
title: Svalbox-DOM_2025-0003

description: Model description: Digital outcrop model of Halvdanpiggen, Haakon VII Land, Svalbard archipelago. Wood Bay Formation, volcanic, vegetation.Data availability:All uploaded archives are to be extracted to the same directory for a functional working environment, i.e., at the very least consisting of a project folder with the data and metashape subdirectories. The included processing report specifies the processing parameters that were used as input for the processing software (Agisoft Metashape, v2.2.1.20641).Exported model data use CRS epsg:32633.Show and visualise on Svalbox.no:Through Svalbox we aim to take geoscientific research and education to the next level – with the simple motto of placing all key information and data sets in their correct spatial position. We bring modern technology, in particular cost-effective digital outcrops, to complement more than 200 years of geoscientific research on Svalbard. Finally, Svalbox provides a sustainable platform for sharing results, workflows and teaching material with the wider geoscientific community.For more information, contact the Svalbox team at svalbox[at]gmail.com.This data set forms part of the Svalbox Digital Model Database.Please cite the database alongside this resource:Betlem, Peter and Rodes, Nil and Birchall, Thomas and Dahlin, Anders and Smyrak-Sikora, Aleksandra and Senger, Kim. The Svalbox Digital Model Database: A Geoscientific Window into the High Arctic. Geosphere (2023) 19 (6): 1640-1666. https://doi.org/10.1130/GES02606.1
DOI: 10.5281/zenodo.17857993
title: Svalbox-DOM_2025-0004

description: Model description: Digital outcrop model of Diabasodden, Nordenskiöld Land, Svalbard archipelago. HALIP, volcanic dikes, Diabasodden suite.Data availability:All uploaded archives are to be extracted to the same directory for a functional working environment, i.e., at the very least consisting of a project folder with the data and metashape subdirectories. The included processing report specifies the processing parameters that were used as input for the processing software (Agisoft Metashape, v2.2.1.20641).Exported model data use CRS epsg:32633.Show and visualise on Svalbox.no:Through Svalbox we aim to take geoscientific research and education to the next level – with the simple motto of placing all key information and data sets in their correct spatial position. We bring modern technology, in particular cost-effective digital outcrops, to complement more than 200 years of geoscientific research on Svalbard. Finally, Svalbox provides a sustainable platform for sharing results, workflows and teaching material with the wider geoscientific community.For more information, contact the Svalbox team at svalbox[at]gmail.com.This data set forms part of the Svalbox Digital Model Database.Please cite the database alongside this resource:Betlem, Peter and Rodes, Nil and Birchall, Thomas and Dahlin, Anders and Smyrak-Sikora, Aleksandra and Senger, Kim. The Svalbox Digital Model Database: A Geoscientific Window into the High Arctic. Geosphere (2023) 19 (6): 1640-1666. https://doi.org/10.1130/GES02606.1
DOI: 10.5281/zenodo.17857992
title: Svalbox-DOM_2025-0004

description: Model description: Digital outcrop model of Diabasodden, Nordenskiöld Land, Svalbard archipelago. HALIP, volcanic dikes, Diabasodden suite.Data availability:All uploaded archives are to be extracted to the same directory for a functional working environment, i.e., at the very least consisting of a project folder with the data and metashape subdirectories. The included processing report specifies the processing parameters that were used as input for the processing software (Agisoft Metashape, v2.2.1.20641).Exported model data use CRS epsg:32633.Show and visualise on Svalbox.no:Through Svalbox we aim to take geoscientific research and education to the next level – with the simple motto of placing all key information and data sets in their correct spatial position. We bring modern technology, in particular cost-effective digital outcrops, to complement more than 200 years of geoscientific research on Svalbard. Finally, Svalbox provides a sustainable platform for sharing results, workflows and teaching material with the wider geoscientific community.For more information, contact the Svalbox team at svalbox[at]gmail.com.This data set forms part of the Svalbox Digital Model Database.Please cite the database alongside this resource:Betlem, Peter and Rodes, Nil and Birchall, Thomas and Dahlin, Anders and Smyrak-Sikora, Aleksandra and Senger, Kim. The Svalbox Digital Model Database: A Geoscientific Window into the High Arctic. Geosphere (2023) 19 (6): 1640-1666. https://doi.org/10.1130/GES02606.1