cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57907/mirri/vmx9jd
title: MIRRI0060055

description: Organism type: Filamentous Fungi ; Taxon name: Umbelopsis swartii ; Collection: CBS 868.85 ; Country: Australia
DOI: 10.57907/mirri/xa7mut/oibm11
title: MIRRI0060064.json

description: Strain json file
DOI: 10.57907/mirri/yo6rrd/yac3u4
title: MIRRI0061764.json

description: Strain json file
DOI: 10.57907/mirri/yu7dcq
title: MIRRI0060089

description: Organism type: Filamentous Fungi ; Taxon name: Seiridium cardinale ; Collection: CBS 910.85 ; Country: South Africa
DOI: 10.57907/mirri/zwc7hy/sarqlu
title: MIRRI0061062.json

description: Strain json file
DOI: 10.3535/fe3-zgc-axd
title: Monteverdia laevis (Reissek) Biral

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/myc-tms-qwl
title: Connarus ruber (Poepp.) Planch.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.57907/mirri/1bfft2/9tvct1
title: MIRRI0062456.json

description: Strain json file
DOI: 10.57907/mirri/4nqb44/s79rcg
title: MIRRI0061120.json

description: Strain json file
DOI: 10.57907/mirri/8ymkor/j4dpbe
title: MIRRI0061074.json

description: Strain json file
DOI: 10.57907/mirri/9bsyyc/tqotd9
title: MIRRI0061071.json

description: Strain json file
DOI: 10.57907/mirri/amb75t/tf0eu3
title: MIRRI0063377.json

description: Strain json file
DOI: 10.57907/mirri/bqescj/plnbzz
title: MIRRI0061698.json

description: Strain json file
DOI: 10.57907/mirri/czaape
title: MIRRI0061099

description: Organism type: Filamentous Fungi ; Taxon name: Hypocrea gelatinosa ; Collection: CBS 724.87 ; Country: Germany
DOI: 10.57907/mirri/dts8of/ydk4sd
title: MIRRI0062507.json

description: Strain json file
DOI: 10.57907/mirri/dvctoy/2yfdip
title: MIRRI0062454.json

description: Strain json file
DOI: 10.57907/mirri/fbp1jf
title: MIRRI0061703

description: Organism type: Filamentous Fungi ; Taxon name: Setophoma terrestris ; Collection: CBS 217.89 ; Country: Belgium
DOI: 10.57907/mirri/frudmq
title: MIRRI0063327

description: Organism type: Filamentous Fungi ; Taxon name: Idriella lunata ; Collection: CBS 681.92 ; Country: Germany
DOI: 10.57907/mirri/fuhlct/ipzo2q
title: MIRRI0061180.json

description: Strain json file
DOI: 10.57907/mirri/ilwktc/k8f0u2
title: MIRRI0063357.json

description: Strain json file
DOI: 10.57907/mirri/iqwha2/yturyy
title: MIRRI0062442.json

description: Strain json file
DOI: 10.57907/mirri/jc6xw5/tna4ca
title: MIRRI0061145.json

description: Strain json file
DOI: 10.57907/mirri/kfegaa/8djzoy
title: MIRRI0061082.json

description: Strain json file
DOI: 10.57907/mirri/kfxrlu/xrq56x
title: MIRRI0062462.json

description: Strain json file
DOI: 10.5517/cc5yzsv
title: CCDC 177778: Experimental Crystal Structure Determination

description: Related Article: P.V.Bernhardt, R.Koch, D.W.J.Moloney, M.Shtaiwi, C.Wentrup|2002|J.Chem.Soc.,Perkin Trans.2||515|doi:10.1039/b109624a
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.4dvhx4
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Zoraptera)",
 "BasisOfRecord is one of (Human Observation, Observation, Occurrence evidence, Material citation, Living Specimen)",
 "CoordinateUncertaintyInMeters is less than or equal to 10000",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 26 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012285-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/cc5yztw
title: CCDC 177779: Experimental Crystal Structure Determination

description: Related Article: P.V.Bernhardt, R.Koch, D.W.J.Moloney, M.Shtaiwi, C.Wentrup|2002|J.Chem.Soc.,Perkin Trans.2||515|doi:10.1039/b109624a
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc5yzvx
title: CCDC 177780: Experimental Crystal Structure Determination

description: Related Article: P.V.Bernhardt, R.Koch, D.W.J.Moloney, M.Shtaiwi, C.Wentrup|2002|J.Chem.Soc.,Perkin Trans.2||515|doi:10.1039/b109624a
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc5yzwy
title: CCDC 177781: Experimental Crystal Structure Determination

description: Related Article: P.V.Bernhardt, R.Koch, D.W.J.Moloney, M.Shtaiwi, C.Wentrup|2002|J.Chem.Soc.,Perkin Trans.2||515|doi:10.1039/b109624a
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc5yzxz
title: CCDC 177782: Experimental Crystal Structure Determination

description: Related Article: P.V.Bernhardt, R.Koch, D.W.J.Moloney, M.Shtaiwi, C.Wentrup|2002|J.Chem.Soc.,Perkin Trans.2||515|doi:10.1039/b109624a
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc5yzy0
title: CCDC 177783: Experimental Crystal Structure Determination

description: Related Article: P.V.Bernhardt, R.Koch, D.W.J.Moloney, M.Shtaiwi, C.Wentrup|2002|J.Chem.Soc.,Perkin Trans.2||515|doi:10.1039/b109624a
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.21227/zs09-5r55
title: "Dataset for Multilingual and Accent-Aware Transformation of Read Speech to Conversational Speech"

description: "This dataset supports the research article \u201cMultilingual and Accent-Aware Transformation of Read Speech to Conversational Speech.\u201dIt contains 300 English speech recordings including read, conversational, and emotionally expressive (happy) speech samples. Each audio file is paired with its text transcript and the output of a part-of-speech (POS) tagger generated using the NLTK toolkit. The dataset provides a foundation for studying prosody, filler word placement, and emotional tone variation in conversational speech. It is intended for research on expressive text-to-speech synthesis, prosody modeling, and emotion-aware human-computer interaction."
DOI: 10.15468/dl.vxjsfg
title: Occurrence Download

description: A dataset containing 903 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Burseraceae"
 ]
}

 The dataset includes 903 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007198-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bxdmea
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Human Observation)",
 "OccurrenceStatus is Present",
 "TaxonKey is Saussurea pulchella Fisch. ex DC."
 ]
}

 The dataset includes 69 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0266769-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xb9y3p
title: Occurrence Download

description: A dataset containing 239 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Geometry POLYGON((34.10741 11.20824,61.11017 11.20824,61.11017 33.77624,34.10741 33.77624,34.10741 11.20824))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Anthropoides virgo (Linnaeus, 1758)"
 ]
}

 The dataset includes 239 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0268386-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zvm3ww
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Digitaria humbertii A.Camus)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 69 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067001-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v7v527
title: Occurrence Download

description: A dataset containing 117 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nautilida",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 117 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0261458-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mpzdpz
title: Occurrence Download

description: A dataset containing 149 species occurrences available in GBIF matching the query:
{
 "and" : [
 "PublishingCountry is South Africa",
 "TaxonKey is one of (Gossypium herbaceum L., Gossypium herbaceum subsp. africanum (G.Watt) Vollesen)"
 ]
}

 The dataset includes 149 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0268376-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pgbgu4
title: Occurrence Download

description: A dataset containing 67 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Tanzania, United Republic of",
 "Geometry POLYGON((26.0078 -14.59455,47.1456 -14.59455,47.1456 1.49411,26.0078 1.49411,26.0078 -14.59455))",
 "HasGeospatialIssue is false",
 "TaxonKey is Zea mays L."
 ]
}

 The dataset includes 67 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0266791-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2r63tk
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((113.24348 23.0792,113.23309 23.07453,113.21689 23.05473,113.2268 23.05496,113.23236 23.05785,113.24904 23.05718,113.24976 23.06541,113.24348 23.0792))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 29 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0261435-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rac9rp
title: Occurrence Download

description: A dataset containing 491 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aselliscus stoliczkanus (Dobson, 1871)"
 ]
}

 The dataset includes 491 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0266770-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1271357.10fu
title: SH1271357.10FU

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/sh1271358.10fu
title: SH1271358.10FU

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/sh1271362.10fu
title: SH1271362.10FU

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/sh1271364.10fu
title: SH1271364.10FU

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/sh1271369.10fu
title: SH1271369.10FU

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/sh1271370.10fu
title: SH1271370.10FU

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/sh1271373.10fu
title: SH1271373.10FU

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/sh1271374.10fu
title: SH1271374.10FU

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/sh1271377.10fu
title: SH1271377.10FU

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.