cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.j6jpgv
title: Occurrence Download

description: A dataset containing 6361 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Frankenia laevis L."
 ]
}

 The dataset includes 6361 records from 197 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0219197-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9e8yx3
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Polystachya purpureobracteata P.J.Cribb & la Croix"
 ]
}

 The dataset includes 10 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0092879-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qvexuy
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020156-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nky45l
title: Occurrence Download

description: A dataset containing 767858861 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Issue is Coordinate rounded",
 "Issue is Geodetic datum assumed WGS84",
 "Issue is Coordinate reprojected"
 ]
 },
 "Year 1971-2019",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 767858861 records from 10875 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019961-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.351305
title: Chemistry measured on water bottle samples at station POS295/13_F, device 5
DOI: 10.1594/pangaea.351306
title: Chemistry measured on water bottle samples at station POS295/23_H, device 1
DOI: 10.1594/pangaea.351307
title: Chemistry measured on water bottle samples at station POS295/23_H, device 2
DOI: 10.1594/pangaea.351308
title: Chemistry measured on water bottle samples at station POS295/25_H, device 2
DOI: 10.1594/pangaea.351309
title: Chemistry measured on water bottle samples at station POS295/28_H, device 1
DOI: 10.1594/pangaea.351310
title: Chemistry measured on water bottle samples at station POS295/30_D, device 1
DOI: 10.1594/pangaea.351311
title: Chemistry measured on water bottle samples at station POS295/30_D, device 2
DOI: 10.5281/zenodo.12559758
title: Dataset: Mill City Ventures III, Ltd. (MCVT) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12559759
title: Dataset: Mill City Ventures III, Ltd. (MCVT) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.1594/pangaea.351312
title: Chemistry measured on water bottle samples at station POS295/32_D, device 1
DOI: 10.1594/pangaea.351313
title: Chemistry measured on water bottle samples at station POS295/32_D, device 2
DOI: 10.1594/pangaea.351333
title: Chlorophyll a measured on water bottle samples at station M60/1_693
DOI: 10.1594/pangaea.351600
title: Rockmagnetic parameters of sediment core PS1521-15
DOI: 10.1594/pangaea.351601
title: Rockmagnetic parameters of sediment core PS1524-2
DOI: 10.1594/pangaea.351602
title: Rockmagnetic parameters of sediment core PS1527-20
DOI: 10.1594/pangaea.351334
title: Chlorophyll a measured on water bottle samples at station M60/1_698
DOI: 10.1594/pangaea.351335
title: Chlorophyll a, gross and net oxygen production rates on water bottle samples at station M60/1_701
DOI: 10.1594/pangaea.351336
title: Chlorophyll a, gross and net oxygen production rates on water bottle samples at station M60/1_715
DOI: 10.1594/pangaea.351337
title: Chlorophyll a, gross and net oxygen production rates on water bottle samples at station M60/1_723
DOI: 10.1594/pangaea.351338
title: Chlorophyll a, gross and net oxygen production rates on water bottle samples at station M60/1_729
DOI: 10.1594/pangaea.351339
title: Chlorophyll a, gross and net oxygen production rates on water bottle samples at station M60/1_736
DOI: 10.1594/pangaea.351340
title: Chlorophyll a, gross and net oxygen production rates on water bottle samples at station POS309_13-1
DOI: 10.1594/pangaea.351341
title: Chlorophyll a, gross and net oxygen production rates on water bottle samples at station POS309_13-3
DOI: 10.1594/pangaea.351342
title: Chlorophyll a, gross and net oxygen production rates on water bottle samples at station POS309_18-1
DOI: 10.5281/zenodo.12559762
title: Dataset: Spectral AI, Inc. (MDAI) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12559763
title: Dataset: Spectral AI, Inc. (MDAI) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.1594/pangaea.351343
title: Chlorophyll a, gross and net oxygen production rates on water bottle samples at station POS309_22-1
DOI: 10.1594/pangaea.351344
title: Chlorophyll a, gross and net oxygen production rates on water bottle samples at station POS309_22-2
DOI: 10.1594/pangaea.351345
title: Chlorophyll a, gross and net oxygen production rates on water bottle samples at station POS309_31-1
DOI: 10.1594/pangaea.351346
title: Chlorophyll a measured on water bottle samples at station POS309_40-1
DOI: 10.1594/pangaea.351349
title: Chlorophyll a, gross and net oxygen production rates on water bottle samples at station POS295/3_A, device 2
DOI: 10.1594/pangaea.351350
title: Chlorophyll a measured on water bottle samples at station POS295/13_F, device 5
DOI: 10.1594/pangaea.351351
title: Chlorophyll a, measured on water bottle samples at station POS295/23_H, device 1
DOI: 10.1594/pangaea.351352
title: Chlorophyll a measured on water bottle samples at station POS295/30_D, device 1
DOI: 10.15156/bio/sh1382331.10fu
title: SH1382331.10FU

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: 10.15156/bio/sh1382332.10fu
title: SH1382332.10FU

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: 10.15156/bio/sh1382333.10fu
title: SH1382333.10FU

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: 10.15468/dl.csdvzm
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Month is one of (March, April)",
 "TaxonKey is Gonepteryx maderensis",
 "Year 2005-2026"
 ]
}

 The dataset includes 50 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005802-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1382335.10fu
title: SH1382335.10FU

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: 10.15156/bio/sh1382336.10fu
title: SH1382336.10FU

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: 10.15156/bio/sh1382337.10fu
title: SH1382337.10FU

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: 10.15156/bio/sh1382338.10fu
title: SH1382338.10FU

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: 10.15156/bio/sh1382342.10fu
title: SH1382342.10FU

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: 10.15156/bio/sh1382343.10fu
title: SH1382343.10FU

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: 10.15468/dl.apda23
title: Occurrence Download

description: A dataset containing 5621955 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 5621955 records from 5454 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005763-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57907/mirri/egqrva/4wrutv
title: MIRRI0085459.json

description: Strain json file
DOI: 10.57907/mirri/ekgjd3
title: MIRRI0084464

description: Organism type: Filamentous Fungi ; Taxon name: Neocosmospora falciformis ; Collection: CBS 135521 ; Country: Mexico
DOI: 10.57907/mirri/fwycv9/bctbpx
title: MIRRI0085526.json

description: Strain json file
DOI: 10.57907/mirri/gsowxp/i9fo6v
title: MIRRI0085425.json

description: Strain json file
DOI: 10.57907/mirri/hfwhrf
title: MIRRI0085520

description: Organism type: Filamentous Fungi ; Taxon name: Pythium brassicae ; Collection: CBS 137317 ; Country: United States of America
DOI: 10.57907/mirri/khkf4g/xic5jv
title: MIRRI0085633.json

description: Strain json file
DOI: 10.57907/mirri/qzbln5
title: MIRRI0085450

description: Organism type: Yeast ; Taxon name: Pichia norvegensis ; Collection: CBS 13154 ; Country: Antarctica
DOI: 10.57907/mirri/qzbln5/grbhap
title: MIRRI0085450.json

description: Strain json file
DOI: 10.57907/mirri/u2dyga
title: MIRRI0085618

description: Organism type: Filamentous Fungi ; Taxon name: Talaromyces infraolivaceus ; Collection: CBS 137389 ; Country: South Africa
DOI: 10.57907/mirri/v3a2qv
title: MIRRI0085452

description: Organism type: Yeast ; Taxon name: Pichia norvegensis ; Collection: CBS 13156 ; Country: Antarctica
DOI: 10.57907/mirri/zoem7m
title: MIRRI0085476

description: Organism type: Filamentous Fungi ; Taxon name: Calonectria mossambicensis ; Collection: CBS 137246 ; Country: Mozambique
DOI: 10.3535/j68-hz3-vn4
title: Galium viscosum subsp. viscosum

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.57907/mirri/4hvgs3/yldtrl
title: MIRRI0085648.json

description: Strain json file
DOI: 10.57907/mirri/6ir7e5/uo7pvv
title: MIRRI0085429.json

description: Strain json file
DOI: 10.57907/mirri/7ch1d2/ybs6do
title: MIRRI0085448.json

description: Strain json file
DOI: 10.57907/mirri/dgoiew/y8cnls
title: MIRRI0085662.json

description: Strain json file
DOI: 10.57907/mirri/enp7pa/sqnouo
title: MIRRI0085651.json

description: Strain json file
DOI: 10.57907/mirri/hphxzt
title: MIRRI0085491

description: Organism type: Filamentous Fungi ; Taxon name: Plagiostoma aceris-palmati ; Collection: CBS 137265 ; Country: Japan
DOI: 10.57907/mirri/i0idd6
title: MIRRI0085640

description: Organism type: Yeast ; Taxon name: Debaryomyces hansenii ; Collection: CBS 13282
DOI: 10.57907/mirri/kpx03r
title: MIRRI0085617

description: Organism type: Filamentous Fungi ; Taxon name: Talaromyces acaricola ; Collection: CBS 137388 ; Country: South Africa
DOI: 10.57907/mirri/my5cyk
title: MIRRI0085647

description: Organism type: Yeast ; Taxon name: Debaryomyces fabryi ; Collection: CBS 13289 ; Country: Antarctica
DOI: 10.57907/mirri/oj7mf0
title: MIRRI0085679

description: Organism type: Yeast ; Taxon name: Leucosporidium scottii ; Collection: CBS 13337
DOI: 10.57907/mirri/qnmvyv
title: MIRRI0084461

description: Organism type: Filamentous Fungi ; Taxon name: Neocosmospora falciformis ; Collection: CBS 135512 ; Country: Mexico
DOI: 10.57907/mirri/rtasbm/7m8usi
title: MIRRI0085713.json

description: Strain json file
DOI: 10.57907/mirri/tgb4hv/fbbf40
title: MIRRI0085437.json

description: Strain json file
DOI: 10.57907/mirri/tqp4ol/izjjud
title: MIRRI0085482.json

description: Strain json file
DOI: 10.57907/mirri/vjq8wl/d80ogi
title: MIRRI0085458.json

description: Strain json file
DOI: 10.57907/mirri/wupgq4
title: MIRRI0085667

description: Organism type: Yeast ; Taxon name: Cystofilobasidium macerans ; Collection: CBS 13322
DOI: 10.57907/mirri/yliozc/7tve6g
title: MIRRI0085440.json

description: Strain json file
DOI: 10.57907/mirri/zfjlgv
title: MIRRI0085636

description: Organism type: Yeast ; Taxon name: Debaryomyces hansenii ; Collection: CBS 13278
DOI: 10.3535/15v-106-dc9
title: Lippia renifolia Turcz.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/f9t-l7z-qw1
title: Lippia oxycnemis Schauer

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.57907/mirri/1e9rb5
title: MIRRI0085485

description: Organism type: Filamentous Fungi ; Taxon name: Cosmospora ; Collection: CBS 137259 ; Country: France
DOI: 10.57907/mirri/4koxvp
title: MIRRI0085466

description: Organism type: Filamentous Fungi ; Taxon name: Fusarium fracticaudum ; Collection: CBS 137233 ; Country: Colombia
DOI: 10.57907/mirri/9pmute
title: MIRRI0085796

description: Organism type: Yeast ; Taxon name: Rhodotorula mucilaginosa ; Collection: CBS 13461
DOI: 10.57907/mirri/acqn3n/kdckrz
title: MIRRI0085678.json

description: Strain json file
DOI: 10.57907/mirri/ds9wot/qlrxls
title: MIRRI0085702.json

description: Strain json file
DOI: 10.57907/mirri/eh3h6m
title: MIRRI0085695

description: Organism type: Yeast ; Taxon name: Leucosporidiella yakutica ; Collection: CBS 13366 ; Country: Antarctica
DOI: 10.57907/mirri/fwycv9
title: MIRRI0085526

description: Organism type: Filamentous Fungi ; Taxon name: Aspergillus sesamicola ; Collection: CBS 137324 ; Country: Denmark
DOI: 10.57907/mirri/imrbia
title: MIRRI0085671

description: Organism type: Yeast ; Taxon name: Debaryomyces hansenii ; Collection: CBS 13327
DOI: 10.57907/mirri/ltydrk/q0fowi
title: MIRRI0085481.json

description: Strain json file
DOI: 10.57907/mirri/n4kkyu/x2hsah
title: MIRRI0085579.json

description: Strain json file
DOI: 10.57907/mirri/oj7mf0/wnhvzu
title: MIRRI0085679.json

description: Strain json file
DOI: 10.57907/mirri/r9qgkt/kwxvwx
title: MIRRI0085503.json

description: Strain json file