cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.y3yqvx
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((71.93094499999999 24.532953, 71.853757 24.527376, 71.77849000000001 24.510783, 71.707015 24.483588, 71.641105 24.446467, 71.582393 24.400341, 71.532327 24.346356, 71.492137 24.285849, 71.46280299999999 24.220318, 71.445032 24.151384, 71.439245 24.080747, 71.445564 24.010148, 71.463815 23.941324, 71.49353000000001 23.875965, 71.53396499999999 23.815675, 71.584115 23.761929, 71.642743 23.716044, 71.70840800000001 23.679139, 71.77950199999999 23.652116, 71.85428899999999 23.635634, 71.93094499999999 23.630095, 72.00760099999999 23.635634, 72.08238799999999 23.652116, 72.153482 23.679139, 72.21914700000001 23.716044, 72.27777500000001 23.761929, 72.32792499999999 23.815675, 72.36836 23.875965, 72.39807500000001 23.941324, 72.416326 24.010148, 72.422645 24.080747, 72.416858 24.151384, 72.39908699999999 24.220318, 72.369753 24.285849, 72.32956299999999 24.346356, 72.27949700000001 24.400341, 72.22078500000001 24.446467, 72.154875 24.483588, 72.0834 24.510783, 72.008133 24.527376, 71.93094499999999 24.532953))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082220-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18186411
title: "Write in English, Nobody Understands Your Language Here": A Study of Non-English Trends in Open-Source Repositories (Paper Artifact)

description: This is a research artifact associated with the paper - “Write in English, Nobody Understands Your Language Here”: A Study of Non-English Trends in Open-Source Repositories - (ICSE 2026).

The artifact includes the scripts, datasets, and documentation used in the study. It supports data collection, preprocessing, analysis, and figure generation reported in the paper. The provided materials allow readers to reproduce the results and explore the data further.

The artifact is intended for researchers and practitioners interested in open-source software, multilingual development practices, and empirical software engineering.
DOI: 10.15468/dl.pcjsm8
title: Occurrence Download

description: A dataset containing 438224 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tyto alba"
 ]
}

 The dataset includes 438224 records from 2253 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082199-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1201674.10fu
title: SH1201674.10FU

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/sh1201676.10fu
title: SH1201676.10FU

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/sh1201679.10fu
title: SH1201679.10FU

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/sh1201680.10fu
title: SH1201680.10FU

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/sh1201683.10fu
title: SH1201683.10FU

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/sh1201684.10fu
title: SH1201684.10FU

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/sh1201687.10fu
title: SH1201687.10FU

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/sh1201688.10fu
title: SH1201688.10FU

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/sh1201690.10fu
title: SH1201690.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.trz45f
title: Occurrence Download

description: A dataset containing 9641 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Delairea odorata Lem.)",
 "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 9641 records from 148 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014070-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kudu6u
title: Occurrence Download

description: A dataset listing the 14743 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Occurrence evidence",
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 14743 records were derived from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062468-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6eecgix/233xln
title: msXL_322v_46_27.tif
DOI: 10.25346/s6eecgix/b4qrdg
title: msXL_322v_46_26.tif
DOI: 10.25346/s6eecgix/dneo4h
title: msXL_322v_31_23.tif
DOI: 10.25346/s6eecgix/6ksvcx
title: msXL_322v_31_22.tif
DOI: 10.25346/s6eecgix/gb25is
title: msXL_322v_31_21.tif
DOI: 10.25346/s6eecgix/gir8dv
title: msXL_322v_31_20.tif
DOI: 10.25346/s6eecgix/trwyhg
title: msXL_322v_31_19.tif
DOI: 10.25346/s6eecgix/ukkwtt
title: msXL_322v_31_18.tif
DOI: 10.25346/s6eecgix/nwg0ve
title: msXL_322v_31_17.tif
DOI: 10.25346/s6eecgix/lmtxnn
title: msXL_322v_31_16.tif
DOI: 10.25346/s6eecgix/yajoau
title: msXL_322v_31_15.tif
DOI: 10.25346/s6eecgix/8o6cyb
title: msXL_322v_31_14.tif
DOI: 10.25346/s6eecgix/hu6v3a
title: msXL_322v_31_13.tif
DOI: 10.15468/dl.nv6k79
title: Occurrence Download

description: A dataset containing 2975462 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tinca tinca (Linnaeus, 1758), Micropterus salmoides (Lacepède, 1802), Rutilus rutilus (Linnaeus, 1758), Scardinius erythrophthalmus (Linnaeus, 1758), Cyprinus carpio Linnaeus, 1758, Ctenopharyngodon idella (Valenciennes, 1844), Sander lucioperca (Linnaeus, 1758), Esox lucius Linnaeus, 1758, Leuciscus idus (Linnaeus, 1758), Acipenser transmontanus Richardson, 1836, Silurus glanis Linnaeus, 1758)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2975462 records from 899 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0255613-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc112037161
title: Cuneiform Tablet 1913.14.1686, Spurlock 1913.14.1686

description: [Text Description:] Receipt of bread ❧ [Text or Publication Number Note:] Spurlock 1913.14.1686; CDLI P421537 ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Yellowish White (10YR 9/1.5) ❧ [Physical Object Note:] 3.2 x 2.5 x 1.3 cm (9 g)
DOI: 10.15468/dl.mh6hn9
title: Occurrence Download

description: A dataset containing 136040019 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 136040019 records from 8925 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065012-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14601977
title: DEVELOPING LEXICAL COMPETENCE OF YOUNG LEARNERS IN TEACHING FOREIGN LANGUAGES
DOI: 10.5281/zenodo.14601978
title: DEVELOPING LEXICAL COMPETENCE OF YOUNG LEARNERS IN TEACHING FOREIGN LANGUAGES
DOI: 10.5281/zenodo.14601983
title: DEVELOPING LISTENING SKILLS OF YOUNG LEARNERS IN           TEACHING FOREIGN LANGUAGES.
DOI: 10.5281/zenodo.14601984
title: DEVELOPING LISTENING SKILLS OF YOUNG LEARNERS IN           TEACHING FOREIGN LANGUAGES.
DOI: 10.15468/dl.udnaa7
title: Occurrence Download

description: A dataset containing 894345 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Malaysia",
 "TaxonKey is Chordata",
 "Year 2021-2024"
 ]
}

 The dataset includes 894345 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057069-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14601991
title: ПРОБЛЕМЫ ВЗАИМООТНОШЕНИЙ РАЗНЫХ ПОКОЛЕНИЙ, НИГИЛИЗМА, СЧАСТЬЯ В РОМАНЕ "ОТЦЫ И ДЕТИ" ИВАНА ТУРГЕНЕВА
DOI: 10.5281/zenodo.14601992
title: ПРОБЛЕМЫ ВЗАИМООТНОШЕНИЙ РАЗНЫХ ПОКОЛЕНИЙ, НИГИЛИЗМА, СЧАСТЬЯ В РОМАНЕ "ОТЦЫ И ДЕТИ" ИВАНА ТУРГЕНЕВА
DOI: 10.5281/zenodo.13789019
title: Supplementary Dataset to the manuscript: High intra-laboratory reproducibility of nanopore sequencing in bacterial species

description: This repo contains the assembly files generated with long read only approach versus combined short and long read approach



Genome assemblies (Chromosome only) using long read only approach



Genome assemblies (Chromosome only) using combined short and long read approach
DOI: 10.5281/zenodo.13789020
title: Supplementary Dataset to the manuscript: Do Both! High intra-laboratory reproducibility of nanopore sequencing in bacterial species underscores advances in sequencing accuracy and superior performance of combined short and long reads

description: This repo contains the assembly files generated withlong read only approach versus combined short and long read approach



Genome assemblies (Chromosome only) using long read only approach



Genome assemblies (Chromosome only) using combined short and long read approach
DOI: 10.5281/zenodo.14601976
title: Supplementary Dataset to the manuscript: High intra-laboratory reproducibility of nanopore sequencing in bacterial species

description: This repo contains the assembly files generated with long read only approach versus combined short and long read approach



Genome assemblies (Chromosome only) using long read only approach



Genome assemblies (Chromosome only) using combined short and long read approach
DOI: 10.15468/dl.nxyr26
title: Occurrence Download

description: A dataset containing 926886 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Malaysia",
 "TaxonKey is Chordata",
 "Year 2016-2020"
 ]
}

 The dataset includes 926886 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057072-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14601999
title: ПОЭТИКА ДВОЙНИЧЕСТВА В РОМАНАХ В. НАБОКОВА
DOI: 10.5281/zenodo.14602000
title: ПОЭТИКА ДВОЙНИЧЕСТВА В РОМАНАХ В. НАБОКОВА
DOI: 10.15468/dl.fs6btv
title: Occurrence Download

description: A dataset containing 6165 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Theobroma cacao L.",
 "Year 1985-2025"
 ]
}

 The dataset includes 6165 records from 244 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057082-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dte2xh
title: Occurrence Download

description: A dataset containing 620291 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Malaysia",
 "TaxonKey is Chordata",
 "Year 2000-2015"
 ]
}

 The dataset includes 620291 records from 112 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057077-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5519/qd.awn3wsec
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.15468/dl.pdxdwp
title: Occurrence Download

description: A dataset containing 292604 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation, Living Specimen, Occurrence evidence)",
 "Continent is Asia",
 "Country is India",
 "Issue is one of (Geodetic datum assumed WGS84, Coordinate rounded, Country derived from coordinates, Continent derived from coordinates, Continent derived from country, Recorded date mismatch, Recorded date invalid)",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae",
 "Year 1972-2025"
 ]
}

 The dataset includes 292604 records from 209 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057080-241126133413365/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.25838568
title: Improved desalination performance of flow-electrode capacitive deionisation by a novel drop-shape channel

description: As an emerging desalination technology, flow-electrode capacitive deionisation (FCDI) has the advantages of theoretically infinite adsorption capacity and applicability to high-concentration brine. However, during the operation of FCDI, the flow electrode in the S-shape channel is prone to sedimentation and clogging the channel. This undesirable phenomenon brings low efficiency and security issues. Therefore, a drop-shape channel was designed for FCDI to improve the flow regime of the flow electrode. The flow simulation of the drop-shape channel was performed to select the appropriate geometry to avoid the formation of the vortex and low-velocity region. The simulation results showed that the streamlined design of the drop-shape channel has insignificant velocity gradients. It significantly reduces the low-velocity region and improves the phenomenon of particle sedimentation. The desalination performance with varieties of electrode flow rate, AC content, and voltage was used to investigate the advantage between S-shape and drop-shape channels. It was found that under the conditions of low flow rate, high AC content, and high voltage, the drop-shape channel FCDI system could still obtain better ASRR and CE.