cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.2666gk
title: Occurrence Download

description: A dataset containing 16681 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Argya subrufa (Jerdon, 1839))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 16681 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0298236-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5e82z3
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oxalis porphyriosiphon T.M.Salter"
 ]
}

 The dataset includes 10 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056413-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8fw5eu
title: Occurrence Download

description: A dataset containing 1521 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Centroscymnus coelolepis Barbosa du Bocage & de Brito Capello, 1864",
 "Year 1950-2000"
 ]
}

 The dataset includes 1521 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002924-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ymhhnb
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gaoligongshania D.Z.Li, Hsueh & N.H.Xia"
 ]
}

 The dataset includes 28 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0303189-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yfcqm2
title: Occurrence Download

description: A dataset containing 27229347 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Mexico"
 ]
}

 The dataset includes 27229347 records from 3955 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070041-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/xygtn6
title: Fern spore feeding records of Cuprininae moth (Stathmopodidae) in Tengping, Taiwan

description: Spore feeding is considered one of the earliest forms of herbivory in insects, and it has been proposed that pollination may have indirectly evolved from this ancestral trait. In extant insects, spore feeding primarily involves consuming the spores of ferns, a behavior known as fern-spore feeding (FSF). The most representative clade exhibiting FSF is the subfamily Cuprininae (Stathmopodidae), whose larvae feed exclusively on fern spores. However, detailed knowledge of the feeding habits and host associations within Cuprininae remains limited.
In this study, we applied a metabarcoding approach to identify the larvae of FSF insects collected from our study site in subtropical forest and to reconstruct the associations between Cuprininae species and their respective fern hosts. By establishing more robust species-host links, our findings provide critical insights into the ecological specialization and evolutionary history of spore-feeding insects. This work also contributes to understanding how early herbivorous traits may have shaped subsequent insect-plant interactions.
DOI: 10.25919/fx47-6597
title: Canola establishment data 2024. Condoblin and Canowindra core research sites CSP2212-005RTX

description: Data is the result of field experiment(s) conducted in 2024 to examine factors affecting canola establishment.
Data is for Condoblin (-33.0427,147.2308 ) and Canowindra (-33.4982, 148.6780) sites.
DOI: 10.25919/r78p-bv18
title: Canola establishment data 2024. Merredin core research site CSP2212-005RTX

description: Data is the result of field experiment(s) conducted in 2024 to examine factors affecting canola establishment
DOI: 10.25919/q2re-x130
title: Canola establishment data 2024. Ungarra core research site CSP2212-005RTX

description: Data is the result of field experiment(s) conducted in 2024 to examine factors affecting canola establishment.
DOI: 10.15468/dl.sf9njm
title: Occurrence Download

description: A dataset containing 190 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tetramelas pulverulentus (Anzi) A.Nordin & Tibell"
 ]
}

 The dataset includes 190 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002923-250525065834625/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/11966908
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.hvmjwx
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is UF FLMNH Ichthyology",
 "Country is Croatia"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002924-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.66c6ef
title: Occurrence Download

description: A dataset containing 1004535 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Cameroon"
 ]
}

 The dataset includes 1004535 records from 987 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002917-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dxdbxz
title: Occurrence Download

description: A dataset containing 81814 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Nocardioidaceae"
 ]
}

 The dataset includes 81814 records from 506 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002922-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/ga5b-5156
title: "Design of a 3D-printed Lens for Electromagnetic Focusing in Multilayer Dielectrics with W band_data"

description: "The paper \u201cDesign of a 3D-printed Lens for Electromagnetic Focusing in Multilayer Dielectrics with W band\u201d  Data file, test file.The file corresponding to the picture in the paper."
DOI: 10.15468/dl.yjc5ne
title: Occurrence Download

description: A dataset containing 143 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Everniicola flexispora D.Hawksw."
 ]
}

 The dataset includes 143 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002925-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.frvkmb
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is The Orthoptera collection (EO) of the Muséum national d'Histoire naturelle (MNHN - Paris)",
 "Country is Croatia"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002927-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wmbvep
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is DMNS Marine Invertebrate Collection (Arctos)",
 "Country is Croatia"
 ]
}

 The dataset includes 45 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002928-250525065834625/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.27201498
title: Code and data repository for <b>Unravelling</b><b> the drivers of marine biodiversity across the Phanerozoic</b> (Balembois et al., 2025)

description: This item contains code, sub-programs and original data used to generate results and findings exposed in <i>Unravelling</i><i> the drivers of marine biodiversity across the Phanerozoic</i> (Balembois et al., 2025).
DOI: 10.6084/m9.figshare.27201498.v1
title: Code and data repository for <b>Niche-environment interaction controlled marine biodiversity and its spatial arrangement during the Phanerozoic</b> (Balembois et al., 2024)

description: This item contains code, sub-programs and original data used to generate results and findings exposed in <b>Niche-environment interaction controlled marine biodiversity and its spatial arrangement during the Phanerozoic</b> (Balembois et al., 2024).
DOI: 10.6084/m9.figshare.28140392
title: Comments on Fujian Tulou by Tourists on Ctrip.com.xlsx

description: The research data forthis paper were obtainedfrom tourist comments regardingFujian Tulou onCtrip.com.As China's leading online travel service platform, Ctrip boasts an extensive user base and a substantial repository of tourism product reviews, positioning it as a pivotal resource for tourism information in China. With over 400 million registered members, Ctrip accumulates vast amounts of review data that encompass feedback from travelers across diverse regions. Given the breadth and depth of Ctrip's data collection and user coverage, this study selects Ctrip as the primary source for gathering tourist reviews to ensure the accuracy and scientific rigor of the research outcomes. Usingthe Octopus collector to accessthe Ctrip website and by searching for "Fujian Tulou," this study identified"Fujian Tulou (Nanjing) scenic spot," "Yongding Tulou," "Yunshuiyao Scenic Spot," "TianluokengTulou Cluster," and other attractions. The two attractions "Fujian Tulou (Nanjing) Scenic Spot" and "Yongding Tulou" wereselected as the research objectsbecause they are more comprehensive and representative.The Octopus Collector software was utilized to crawl visitor comments, including comment posting time and IP addressinformation, covering the periodfrom October 2015 to May 2024. The captured web text waspreprocessed to remove emoticons and duplicate irrelevant comments, ultimately yielding 2,923web comments totaling 155,790 characters, along with the corresponding comment posting time and IP addressinformation. This article focuses solely on the analysis of textual comments and does not encompass any photographs or selfies that may have been uploaded alongside the comments. The textual data collected in this study is entirely in Chinese. Specifically, 652 entries contain 15 or fewer characters, constituting 22.3% of the total; 1,941 entries have between 16 and 100 characters, representing 66.4%; and 326 entries exceed 100 characters, accounting for 11.2%.
DOI: 10.15468/dl.rkezkr
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((46.04036 25.93279,46.32249 25.93279,46.32249 26.18263,46.04036 26.18263,46.04036 25.93279))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 23 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002926-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57780/cr2-116eff4
title: HIGHWAY_Cryo_L2_SIR_SIN_2_

description: CryoSat-2 L2 Product from SAR Interferometric Processing in cloud-native data format
DOI: 10.71486/0rmj-sa56
title: DATASET of the paper “Influence of the backfill parameters in distinct element modelling of a backfill masonry arch bridge through the PFC2D software”

description: Dataset of an investigation on how to model a backfill masonry arch bridge using the discrete element method (DEM). The PFC2D software is used for this purpose. A certain backfill masonry arch bridge is modelled, with different types of fill, mortar and voussoir materials. A biaxial test has been programmed using ‘FISH’ code to obtain the micro-parameters used in the model so that they match the macro-parameters obtained from a real biaxial test. The arch is loaded until its collapse in three different load cases. Further discussion on the influence of the backfill parameters is presented as well as a sensitivity analysis for the arch bridge.
DOI: 10.15468/dl.nmr966
title: Occurrence Download

description: A dataset containing 12674 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Bulinus O.F.Müller, 1781"
 ]
}

 The dataset includes 12674 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002930-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17337996
title: Validated HL7 FHIR R5 Bundle for Hematology Report (Mapped from Scanned Laboratory Record)

description: This file contains a validated HL7 FHIR R5 bundle representing a hematology laboratory report extracted from a scanned medical record. The bundle includes standardized FHIR resources—Composition, Patient, Organization, DiagnosticReport, and Observations—with LOINC and UCUM-coded laboratory results such as hemoglobin, hematocrit, red and white blood cell counts, and platelet count. The file was validated through the official HL7 FHIR validator to ensure syntactic and semantic compliance.
DOI: 10.82159/mphe-8r57
title: IT_GULFOFVENICE_PHYTOPLCLASSABB_2025_V20250806.xlsx
DOI: 10.15156/bio/sh1384313.10fu
title: SH1384313.10FU

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/sh1384315.10fu
title: SH1384315.10FU

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/sh1384318.10fu
title: SH1384318.10FU

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.cssdnj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"MEX.6.5_2","matchCase":false},{"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 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005846-260108223611665/datasets/export for details.
DOI: 10.15156/bio/sh1384319.10fu
title: SH1384319.10FU

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/sh1384320.10fu
title: SH1384320.10FU

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/sh1384324.10fu
title: SH1384324.10FU

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/sh1384328.10fu
title: SH1384328.10FU

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.