cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4121/21261402
title: Process Discovery Contest 2022

description: This data set contains the data set as was used for the Process Discovery Contest of 2022 (PDC 2022). The data set contains 480 training logs, 96 corresponding test logs, 96 corresponding ground truth logs, and 96 models. The logs are all stored using the IEEE XES file format (see either https://www.xes-standard.org/ or https://ieeexplore.ieee.org/document/7740858), while the models are workflow nets (a subclass of Petri nets) stored in the PNML fileformat (see https://www.iso.org/obp/ui/#iso:std:iso-iec:15909:-2:ed-1:v1:en).
DOI: 10.4121/21261402.v2
title: Process Discovery Contest 2022

description: This data set contains the data set as was used for the Process Discovery Contest of 2022 (PDC 2022). The data set contains 480 training logs, 96 corresponding test logs, 96 corresponding ground truth logs, and 96 models. The logs are all stored using the IEEE XES file format (see either https://www.xes-standard.org/ or https://ieeexplore.ieee.org/document/7740858), while the models are workflow nets (a subclass of Petri nets) stored in the PNML fileformat (see https://www.iso.org/obp/ui/#iso:std:iso-iec:15909:-2:ed-1:v1:en).
DOI: 10.15468/dl.cqg3vu
title: Occurrence Download

description: A dataset containing 2089 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Terebralia palustris (Linnaeus, 1767)"
 ]
}

 The dataset includes 2089 records from 108 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022156-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/10709574
title: ⏳ endoflife.date database (duckdb)
DOI: 10.15468/dl.auc5p6
title: Occurrence Download

description: A dataset listing the 263 species recorded in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "DatasetKey is EOD – eBird Observation Dataset",
 "GadmGid is CHN.10_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (May, June, January, February, March, April, July, August, September, October, November, December)",
 "Year 2015-2015"
 ]
}

 The dataset's 263 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022149-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zrgkvj
title: Occurrence Download

description: A dataset containing 3775 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Myricaria squamosa Desv., Myricaria pulcherrima Batalin, Myricaria wardii C.Marquand, Myricaria rosea W.W.Sm., Myricaria prostrata Hook.fil. & Thomson, Myricaria platyphylla Maxim., Myricaria paniculata P.Y.Zhang & Y.J.Zhang, Myricaria laxa W.W.Sm., Myricaria bracteata Royle, Myricaria germanica Qaiser, Myricaria albiflora Grierson & D.G.Long, Myricaria longifolia (Willd.) Ehrenb., Myricaria davurica (Willd.) Ehrenb.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3775 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022157-250127130748423/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.25922182
title: Data associated with Fusarium asiaticum vivivirus 1

description: The discovery of diverse segmented RNA viruses through metatranscriptomics has enabled researchers to trace the evolutionary trajectories of these viruses. However, this effort has been hindered by the limited availability of complete genome sequences and the low similarity of novel viral segments. In this study, we characterized Fusarium asiaticum vivivirus 1 (FaVvV1), a +ssRNA mycovirus with 10 RNA segments (S1 to S10, encoding VP1 to VP10), in phytopathogenic fungus Fusarium asiaticum. VP1 and VP2 exhibit homology to replication proteins of martellivirals, while VP3 and VP5 share similarities with nuclear inclusion protein a and cylindrical inclusion helicase of potyvirids, respectively. FaVvV1 forms rod-shaped virions, with VP8 functions as a structural protein resembling the helical capsid of potyvirids and closterovirids. To explore the conservation and evolution of viviviruses, we mined 23 published SRA datasets, identifying 29 vivivirus-related viruses (vivivirids) comprising a total of 186 viral segments. VP1–VP3, VP5, and VP8 were identified as conserved hallmark proteins of viviviruses. Phylogenetic and structural analyses suggest multiple genome segmentations and gene/domain duplications involved in the evolution of vivivirids. VP3, VP5 and VP8 probably share a common ancestor with potyvirids. These findings highlight the intricate evolutionary mechanisms underlying segmented virus diversity and adaptation.
DOI: 10.6084/m9.figshare.25922182.v2
title: supplementary data for the paper "A Group of Segmented Viruses Evolved from Genome Segmentation and Cross-phylum Level Gene Transfer"

description: Metatranscriptomics have revolutionized our understanding of RNA virus evolution by revealing increased virus diversities and bridging gaps among known virus clades. However, studying the diversity and evolution of segmented viruses has been challenging due to limited whole genome information and low similarity of novel viral segments. We characterized Fusarium asiaticum vivivirus 1 (FaVvV1), a +ssRNA mycovirus with 10 RNA segments (S1 to S10, encoding VP1 to VP10), in phytopathogenic fungus Fusarium asiaticum. VP1 and VP2 are homologous to replication proteins of martellivirals, while VP3 and VP5 share homology with nuclear inclusion protein a and cylindrical inclusion helicase of potyvirids, respectively. FaVvV1 has a rod-shaped virion and VP8 functions as a structural protein resembling the helical capsid of potyvirids and closterovirids. Conservation and evolution of viviviruses were investigated by mining 23 published datasets, identifying 29 vivivirus-related viruses (vivivirids) with a total of 186 virus segments. VP1–VP3, VP5, and VP8 are conserved hallmark proteins of viviviruses. Phylogenetic and structural analyses suggest vivivirids evolved from multiple genome segmentations, gene/domain duplications, and horizontal gene transfer events from pisuviricots to martellivirals, highlighting the complexity of segmented virus evolution.
DOI: 10.15468/dl.7p6rt5
title: Occurrence Download

description: A dataset containing 5313 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "DatasetKey is EOD – eBird Observation Dataset",
 "GadmGid is CHN.10_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (May, June, January, February, March, April, July, August, September, October, November, December)",
 "Year 2016-2016"
 ]
}

 The dataset includes 5313 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022159-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sn49pv
title: Occurrence Download

description: A dataset containing 36836 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Australia",
 "OccurrenceStatus is Present",
 "TaxonKey is Rhinella marina (Linnaeus, 1758)"
 ]
}

 The dataset includes 36836 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022158-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.26d8gq
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Slovenia",
 "TaxonKey is Lyrurus tetrix (Linnaeus, 1758)"
 ]
}

 The dataset includes 25 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022160-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j8tbwe
title: Occurrence Download

description: A dataset containing 836689 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is one of (Cuba, El Salvador, Bahamas, Haiti, Jamaica, Barbados, Trinidad and Tobago, Grenada, Saint Vincent and the Grenadines, Antigua and Barbuda, Saint Lucia, Dominica, Saint Kitts and Nevis, Belize, Canada, Mexico, Costa Rica, Guatemala, Panama, Honduras, Nicaragua, Dominican Republic, Cayman Islands, Guadeloupe, Saint Pierre and Miquelon, Bermuda, Puerto Rico, United States of America)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is May",
 "OccurrenceStatus is Present",
 "TaxonKey is Picidae",
 "Year 2015-2016"
 ]
}

 The dataset includes 836689 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022154-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.re86d9
title: Occurrence Download

description: A dataset containing 5313 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "DatasetKey is EOD – eBird Observation Dataset",
 "GadmGid is CHN.10_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (May, June, January, February, March, April, July, August, September, October, November, December)",
 "Year 2016-2016"
 ]
}

 The dataset includes 5313 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022161-250127130748423/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.28379096.v1
title: 5.1-2.6 马期间 U1490 站点的粘土数据

description: 地点 U1490（北纬 05°48.9507ʹ，东经 142°39.2698ʹ）位于 WPWP 核心区域内的 Eauripik 隆起的北端，水深 2341 米（图 S1）。使用从 U1490 遗址取回的三个孔（U1490A、U1490B 和 U1490C），在 37.7 m 和 96.6 m CCSF 之间的间隔重建了连续的上新世沉积（Rosenthal等人，2018 年）。通过比较Cibicidoides wuellerstorfi δ18O剖面（VPDB，维也纳Peedee Belemnite）和标准LR04堆栈（Lisiecki & Raymo，2005;马Shi 等人，2022 年）。该数据集中 Site U1490 沉积物的粘土矿物成分、伊利石化学指数和结晶度。
DOI: 10.15468/dl.ydhne5
title: Occurrence Download

description: A dataset containing 1297 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((386.08613 44.43453,386.09626 44.43453,386.09626 44.44005,386.08613 44.44005,386.08613 44.43453))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1297 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022162-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mwy5kb
title: Occurrence Download

description: A dataset containing 172 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Felis nigripes Burchell, 1824"
 ]
}

 The dataset includes 172 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022163-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pxhbgx
title: Occurrence Download

description: A dataset containing 160295 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phytolacca americana L."
 ]
}

 The dataset includes 160295 records from 1416 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022113-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0190286.10fu
title: SH0190286.10FU

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/sh0190287.10fu
title: SH0190287.10FU

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/sh0190288.10fu
title: SH0190288.10FU

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/sh0190289.10fu
title: SH0190289.10FU

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/sh0190290.10fu
title: SH0190290.10FU

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/sh0190291.10fu
title: SH0190291.10FU

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/sh0190292.10fu
title: SH0190292.10FU

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/sh0190293.10fu
title: SH0190293.10FU

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/sh0190294.10fu
title: SH0190294.10FU

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/sh0190295.10fu
title: SH0190295.10FU

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.