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

description: A dataset containing 133 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Macao, Hong Kong)",
 "OccurrenceStatus is Present",
 "TaxonKey is Gavia stellata (Pontoppidan, 1763)"
 ]
}

 The dataset includes 133 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0282417-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vuaz78
title: Occurrence Download

description: A dataset containing 1390 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is China",
 "TaxonKey is Picea wilsonii Mast."
 ]
}

 The dataset includes 1390 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002279-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d62nqf
title: Occurrence Download

description: A dataset containing 127 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((8.00753 38.79033,9.96829 38.79033,9.96829 41.30659,8.00753 41.30659,8.00753 38.79033))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is Senecio leucanthemifolius Poir."
 ]
}

 The dataset includes 127 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0273864-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h8q4rs
title: Occurrence Download

description: A dataset containing 14409 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 {
 "or" : [
 "Geometry POLYGON((-120.18291 13.59328,-87.76816 13.59328,-87.76816 27.70938,-120.18291 27.70938,-120.18291 13.59328))",
 "Geometry POLYGON((-121.48995 8.10369,-88.55238 8.10369,-88.55238 33.19898,-121.48995 33.19898,-121.48995 8.10369))",
 "Geometry POLYGON((-118.95993 11.18167,-86.02237 11.18167,-86.02237 34.44709,-118.95993 34.44709,-118.95993 11.18167))"
 ]
 },
 "TaxonKey is Myiopsitta monachus (Boddaert, 1783)"
 ]
}

 The dataset includes 14409 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0282422-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ak3zf6
title: Occurrence Download

description: A dataset containing 4306 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "TaxonKey is Rangifer tarandus (Linnaeus, 1758)"
 ]
}

 The dataset includes 4306 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0270920-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9wtfk4
title: Occurrence Download

description: A dataset containing 723 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Selaginella porphyrospora A.Braun"
 ]
}

 The dataset includes 723 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0274063-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4ugxse
title: Occurrence Download

description: A dataset containing 70 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ledermanniella schlechteri (Engl.) C.Cusset"
 ]
}

 The dataset includes 70 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005479-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gwwtbt
title: Occurrence Download

description: A dataset containing 19758 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hedeoma Pers."
 ]
}

 The dataset includes 19758 records from 286 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002285-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jchfyw
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Montecincla jerdoni (Blyth, 1851)"
 ]
}

 The dataset includes 55 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0273876-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zszujt
title: Occurrence Download

description: A dataset containing 1002 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is one of (China, Macao, Hong Kong)",
 "OccurrenceStatus is Present",
 "TaxonKey is Ixobrychus cinnamomeus (Gmelin, 1789)"
 ]
}

 The dataset includes 1002 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0282427-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yevppb
title: Occurrence Download

description: A dataset containing 147 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Malaysia",
 "OccurrenceStatus is Present",
 "TaxonKey is Hylobates lar (Linnaeus, 1771)"
 ]
}

 The dataset includes 147 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031359-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11549339
title: LFM User Groups Implicit Feedback

description: This is a variant of the popular LFM User Groups dataset [1] used in the paper "The Impact of Differential Privacy on Recommendation Accuracy and Popularity Bias" [2]. Each user's listening events for an artist are scaled to values between 1 and 5 (the user's min. value being 1 and the max. value being 5). Then, scores above the mean are considered positive feedback whereas scores below the mean are considered as negative feedback. This dataset only includes the positive feedback data. The source-code for generating this dataset is available in our repository [3].

[1] https://zenodo.org/records/3475975

[2] https://link.springer.com/chapter/10.1007/978-3-031-56066-8_33

[3] https://github.com/pmuellner/ImpactOfDP
DOI: 10.5281/zenodo.11549340
title: LFM User Groups Implicit Feedback

description: This is a variant of the popular LFM User Groups dataset [1] used in the paper "The Impact of Differential Privacy on Recommendation Accuracy and Popularity Bias" [2]. Each user's listening events for an artist are scaled to values between 1 and 5 (the user's min. value being 1 and the max. value being 5). Then, scores above the mean are considered positive feedback whereas scores below the mean are considered as negative feedback. This dataset only includes the positive feedback data. The source-code for generating this dataset is available in our repository [3].

[1] https://zenodo.org/records/3475975

[2] https://link.springer.com/chapter/10.1007/978-3-031-56066-8_33

[3] https://github.com/pmuellner/ImpactOfDP
DOI: 10.15468/dl.4n3xsr
title: Occurrence Download

description: A dataset containing 92 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((8.02636 38.76208,9.98145 38.76208,9.98145 41.31098,8.02636 41.31098,8.02636 38.76208))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Carpobrotus N.E.Br."
 ]
}

 The dataset includes 92 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0273891-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11102121
title: Literature Search from OPUS Deliverable 1.2: Initial State of the Art on Open Science Literature

description: OPUS Deliverable 1.2: Initial State of the Art on Open Science Literature (https://zenodo.org/doi/10.5281/zenodo.8410049) conducted an analysis of initiatives and literature to reform research(er) assessment and incentivise and reward Open Science.Within WP1, a State-of-the-Art on Open Science Literature was conducted. This state-of-the-art on existing literature and recommendations to reform research(er) assessment and incentivise and reward Open Science was designed to support the development of interventions in WP2, of indicators and metrics in WP3 and of pilot action plans in WP4.Within this overall review, specific focus was placed on a review of:



Research(er) assessment and Open Science and incentives and rewards and Open Science

Precarity of research careers and Open Science

Gender equality and Open Science

Industry practices and Open Science

Trust and Open Science


This literature review data is available as:



an online library on Zotero - https://www.zotero.org/groups/4932671/opus_project_library/collections/H4KBRTUF

a single Microsoft Excel file (xlsx) with multiple tabs and

CSV (comma-separated values) files.
DOI: 10.5281/zenodo.11102122
title: Literature Search from OPUS Deliverable 1.2: Initial State of the Art on Open Science Literature

description: OPUS Deliverable 1.2: Initial State of the Art on Open Science Literature (https://zenodo.org/doi/10.5281/zenodo.8410049) conducted an analysis of initiatives and literature to reform research(er) assessment and incentivise and reward Open Science.Within WP1, a State-of-the-Art on Open Science Literature was conducted. This state-of-the-art on existing literature and recommendations to reform research(er) assessment and incentivise and reward Open Science was designed to support the development of interventions in WP2, of indicators and metrics in WP3 and of pilot action plans in WP4.Within this overall review, specific focus was placed on a review of:



Research(er) assessment and Open Science and incentives and rewards and Open Science

Precarity of research careers and Open Science

Gender equality and Open Science

Industry practices and Open Science

Trust and Open Science


This literature review data is available as:



an online library on Zotero - https://www.zotero.org/groups/4932671/opus_project_library/collections/H4KBRTUF

a single Microsoft Excel file (xlsx) with multiple tabs and

CSV (comma-separated values) files.
DOI: 10.15468/dl.sm2ykd
title: Occurrence Download

description: A dataset containing 19411 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lysimachia borealis (Raf.) U.Manns & Anderb.",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 19411 records from 166 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005482-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.96psqc
title: Occurrence Download

description: A dataset containing 70 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lagophylla dichotoma Benth."
 ]
}

 The dataset includes 70 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003125-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.78cr3k
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((8.01762 38.75588,10.04601 38.75588,10.04601 41.24182,8.01762 41.24182,8.01762 38.75588))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Juniperus macrocarpa Sibth. & Sm."
 ]
}

 The dataset includes 35 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0273877-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.axew9b
title: Occurrence Download

description: A dataset containing 116 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Caupolicana lugubris Smith, 1879"
 ]
}

 The dataset includes 116 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0282423-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ehr7wv
title: Occurrence Download

description: A dataset containing 5454 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hevea brasiliensis (Willd. ex A.Juss.) Müll.Arg.",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 5454 records from 292 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003128-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1375559.10fu
title: SH1375559.10FU

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/sh1375561.10fu
title: SH1375561.10FU

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/sh1375563.10fu
title: SH1375563.10FU

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/sh1375567.10fu
title: SH1375567.10FU

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/sh1375568.10fu
title: SH1375568.10FU

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/sh1375572.10fu
title: SH1375572.10FU

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/sh1375573.10fu
title: SH1375573.10FU

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/sh1375576.10fu
title: SH1375576.10FU

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/sh1375577.10fu
title: SH1375577.10FU

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.