cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.3ce6tc
title: Occurrence Download

description: A dataset containing 84468 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Eschscholzia californica Cham.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 84468 records from 543 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007817-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hkgcue
title: Occurrence Download

description: A dataset listing the 64 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((6.38855 46.18965,6.38229 46.18679,6.3783 46.18285,6.37396 46.17925,6.37396 46.17428,6.3724 46.16822,6.3724 46.16354,6.37382 46.1597,6.37873 46.15501,6.38599 46.15482,6.38905 46.15935,6.38969 46.16452,6.38983 46.16965,6.3958 46.17014,6.39872 46.17369,6.39815 46.17724,6.40007 46.18221,6.40128 46.18492,6.39965 46.18827,6.39602 46.19122,6.38855 46.18965))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 2021-2025"
 ]
}

 The dataset's 64 records were derived from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007762-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14930705
title: Visual Magnetism: Analytical Data

description: Analytical Data for Visual Magnetism annotation data. See www.raramagnetica.de for context.
DOI: 10.5281/zenodo.14930706
title: Visual Magnetism: Analytical Data

description: Analytical Data for Visual Magnetism annotation data. See www.raramagnetica.de for context.
DOI: 10.15468/dl.d6j9b8
title: Occurrence Download

description: A dataset containing 9568 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Eucalyptus delegatensis F.Muell. ex R.T.Baker)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 9568 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007832-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14851167
title: Magnetic Margins: Analytical Data

description: This dataset contains CSV files for data analysis of the Magnetic Margins Cenus, and PDFs with supplements.

1. mm_data_annotations.csv



Use: This dataset contains annotations that link specific copies (exemplars) to sections in a text.

Encoding:



copy.Id: Identifier for the copy.

concat(substructures.Id): A comma-separated list of section IDs referenced in the annotation.

weighted: A numeric value representing the significance of the annotation.




2. mm_data_sections.csv



Use: Contains information on sections within the text, including their assigned topics.

Encoding:



Id: Unique section identifier.

topic_row: A comma-separated list of topics assigned to the section.




3. mm_data_copies.csv



Use: Lists copies (exemplars) of the text that have been annotated.

Encoding:



Id: Unique identifier for the copy.

Additional metadata on each copy.




4. mm_data_gilbert_variants-iiiiv.pdf



Use: Document describing textual variants in the Gilbert corpus.

Encoding: Standard PDF with textual and possibly tabular content.


5. mm_data_gilbert-editorial-corrections.pdf



Use: Document containing editorial corrections made to Gilbert’s 1600 edition.

Encoding: PDF format.


6. mm_data_ttl.zip



Use: Archive containing TTL (Terse Triple Language) files, for RDF-based semantic encoding.

Encoding: Compressed archive, containing RDF triples for linked data representation.


7. mm_data-model.zip



Use: Highly simplified ontology diagram to understand the underlying model of the knowledge graph.

Encoding: Static image file.
DOI: 10.5281/zenodo.14851170
title: Magnetic Margins: Analytical Data

description: This dataset contains CSV files for data analysis of the Magnetic Margins Cenus, and PDFs with supplements.

1. mm_data_annotations.csv



Use: This dataset contains annotations that link specific copies (exemplars) to sections in a text.

Encoding:



copy.Id: Identifier for the copy.

concat(substructures.Id): A comma-separated list of section IDs referenced in the annotation.

weighted: A numeric value representing the significance of the annotation.




2. mm_data_sections.csv



Use: Contains information on sections within the text, including their assigned topics.

Encoding:



Id: Unique section identifier.

topic_row: A comma-separated list of topics assigned to the section.




3. mm_data_copies.csv



Use: Lists copies (exemplars) of the text that have been annotated.

Encoding:



Id: Unique identifier for the copy.

Additional metadata on each copy.




4. mm_data_gilbert_variants-iiiiv.pdf



Use: Document describing textual variants in the Gilbert corpus.

Encoding: Standard PDF with textual and possibly tabular content.


5. mm_data_gilbert-editorial-corrections.pdf



Use: Document containing editorial corrections made to Gilbert’s 1600 edition.

Encoding: PDF format.


6. mm_data_ttl.zip



Use: Archive containing TTL (Terse Triple Language) files, for RDF-based semantic encoding.

Encoding: Compressed archive, containing RDF triples for linked data representation.


7. mm_data-model.zip



Use: Highly simplified ontology diagram to understand the underlying model of the knowledge graph.

Encoding: Static image file.
DOI: 10.15468/dl.7yrexw
title: Occurrence Download

description: A dataset containing 389 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Nilaparvata lugens (Stål, 1854)"
 ]
}

 The dataset includes 389 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007833-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8a9fvv
title: Occurrence Download

description: A dataset containing 670904 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Taiwan Moth Occurrence Data Collected From Social Network"
 ]
}

 The dataset includes 670904 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007828-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u8tbwj
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((15.196270634070848 44.92526369769317,15.468817145020695 44.92526369769317,15.468817145020695 45.19781020864302,15.196270634070848 45.19781020864302,15.196270634070848 44.92526369769317))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Carex davalliana Sm."
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007834-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f7fs7c
title: Occurrence Download

description: A dataset containing 245 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Pakistan",
 "TaxonKey is Limosa limosa (Linnaeus, 1758)"
 ]
}

 The dataset includes 245 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007770-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s774tb
title: Occurrence Download

description: A dataset containing 112 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "Country is one of (South Africa, Tunisia, Bangladesh, Japan, Viet Nam, Malaysia, Brunei Darussalam, Papua New Guinea, French Polynesia, Spain, Italy, Portugal)",
 "TaxonKey is Vitex trifolia L."
 ]
}

 The dataset includes 112 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007835-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zba8rz
title: Occurrence Download

description: A dataset containing 406 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Eucalyptus diversicolor F.Muell.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 406 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007836-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bmxq7q
title: Occurrence Download

description: A dataset containing 93 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is ZAF.1_1",
 "TaxonKey is Platyhelminthes"
 ]
}

 The dataset includes 93 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007773-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14987320
title: Supplementary Data for Manuscript "Quantifying Impact of Different Surface Covers on Sediment Transport Capacity: Insights from Flume Experiments"
DOI: 10.5281/zenodo.14987321
title: Supplementary Data for Manuscript "Quantifying Impact of Different Surface Covers on Sediment Transport Capacity: Insights from Flume Experiments"
DOI: 10.15468/dl.xum85q
title: Occurrence Download

description: A dataset containing 23673 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Laguncularia racemosa (L.) C.F.Gaertn.",
 "Year 1970-2025"
 ]
}

 The dataset includes 23673 records from 279 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007837-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14881767
title: scInferData
DOI: 10.5281/zenodo.14881768
title: scInferData
DOI: 10.5281/zenodo.14986872
title: scInferData
DOI: 10.5281/zenodo.14605449
title: WO3 photoanodes for photoelectrochemical applications

description: WO3 layers were prepared by spray pyrolysis of a peroxotungstic acid solution on FTO/glass substrates. Investigated parameters were layer thickness and influence of post-annealing in air. Films deposited at 250 °C were amorphous. Post-annealing at 550 °C for 2 h resulted in the formation of monoclinic crystalline structure. A comprehensive account of electrochemical efficiency in terms of IPCE for WO3 films as a function of the three parameters (wavelength, thickness and direction of light incidence) fully characterizing the photoelectrodes is presented here for the first time. The highest improvement in crystallinity and also the highest photocurrent response was found for WO3 layers deposited at 250 °C and post-annealed at 550 °C, namely 1.9 mA/cm2 (in 0.1 M HClO4 at 1.6 V vs. Ag/AgCl) under irradiation with a solar simulator (AM 1.5, 100 mW/cm2) and IPCE = 0.5 at 369 nm (front side irradiation), which is comparable with values obtained by other deposition techniques (e.g., hydrothermal or sol gel). Spray pyrolysis as a method of fabricating WO3 electrodes has the advantage of being able to produce large electrodes for use in practical applications.
DOI: 10.5281/zenodo.14605450
title: WO3 photoanodes for photoelectrochemical applications

description: WO3 layers were prepared by spray pyrolysis of a peroxotungstic acid solution on FTO/glass substrates. Investigated parameters were layer thickness and influence of post-annealing in air. Films deposited at 250 °C were amorphous. Post-annealing at 550 °C for 2 h resulted in the formation of monoclinic crystalline structure. A comprehensive account of electrochemical efficiency in terms of IPCE for WO3 films as a function of the three parameters (wavelength, thickness and direction of light incidence) fully characterizing the photoelectrodes is presented here for the first time. The highest improvement in crystallinity and also the highest photocurrent response was found for WO3 layers deposited at 250 °C and post-annealed at 550 °C, namely 1.9 mA/cm2 (in 0.1 M HClO4 at 1.6 V vs. Ag/AgCl) under irradiation with a solar simulator (AM 1.5, 100 mW/cm2) and IPCE = 0.5 at 369 nm (front side irradiation), which is comparable with values obtained by other deposition techniques (e.g., hydrothermal or sol gel). Spray pyrolysis as a method of fabricating WO3 electrodes has the advantage of being able to produce large electrodes for use in practical applications.
DOI: 10.15468/dl.stst5w
title: Occurrence Download

description: A dataset containing 57220 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Euphorbia esula L.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 57220 records from 607 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007763-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0036166.10fu
title: SH0036166.10FU

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/sh0036167.10fu
title: SH0036167.10FU

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/sh0036168.10fu
title: SH0036168.10FU

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/sh0036169.10fu
title: SH0036169.10FU

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/sh0036170.10fu
title: SH0036170.10FU

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/sh0036171.10fu
title: SH0036171.10FU

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/sh0036172.10fu
title: SH0036172.10FU

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/sh0036173.10fu
title: SH0036173.10FU

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.