cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.v4pve6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Flora asociada a los ríos Timbiquí y Buebuey, municipio de Timbiquí, Cauca - 2013"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101182-200613084148143/datasets/export for details.
DOI: 10.15468/dl.gur942
title: Occurrence Download

description: A dataset containing 5924 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Papilio polytes Linnaeus, 1758"
 ]
}

 The dataset includes 5924 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012668-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qa7ptu
title: Occurrence Download

description: A dataset containing 3754 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhinella diptycha (Cope, 1862)"
 ]
}

 The dataset includes 3754 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068377-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gbucah
title: Occurrence Download

description: A dataset containing 482 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Bursatella leachii Blainville, 1817"
 ]
}

 The dataset includes 482 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101189-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.l7mwne
title: Occurrence Download

description: A dataset containing 2221 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Papilio demoleus Linnaeus, 1758"
 ]
}

 The dataset includes 2221 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012678-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aefvkv
title: Occurrence Download

description: A dataset containing 1503 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-139.38267 21.02944,-54.61733 21.02944,-54.61733 54.97056,-139.38267 54.97056,-139.38267 21.02944))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Helianthus grosseserratus M.Martens"
 ]
}

 The dataset includes 1503 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071979-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.66muev
title: Occurrence Download

description: A dataset containing 870249 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Danish Mycological Society, fungal records database"
 ]
}

 The dataset includes 870249 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0127881-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vrwtlk
title: Occurrence Download

description: A dataset containing 2769 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Papilio protenor Cramer, 1775"
 ]
}

 The dataset includes 2769 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012672-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fw739c
title: Occurrence Download

description: A dataset containing 179076 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Felis Linnaeus, 1758"
 ]
}

 The dataset includes 179076 records from 975 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042437-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9nn4b4
title: Occurrence Download

description: A dataset containing 95 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nylanderia pubens (Forel, 1893)"
 ]
}

 The dataset includes 95 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072972-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.trt3jc
title: Occurrence Download

description: A dataset containing 440232 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Quercus suber L."
 ]
}

 The dataset includes 440232 records from 280 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0134431-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xq2dem
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Papilio buddha Westwood, 1872"
 ]
}

 The dataset includes 50 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012686-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.44rv6m
title: Occurrence Download

description: A dataset containing 130249 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-1.20097 51.55338,-1.05103 51.55338,-1.05103 51.655,-1.20097 51.655,-1.20097 51.55338))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 130249 records from 161 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068381-231120084113126/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.28558226
title: Manuscript1.docx

description: Data description not more than 500 words
DOI: 10.15468/dl.bu4sc8
title: Occurrence Download

description: A dataset containing 9629 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Hydrangea macrophylla (Thunb.) Ser.)",
 "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 9629 records from 260 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008607-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t4dsxr
title: Occurrence Download

description: A dataset containing 539 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dermestes ater DeGeer, 1774",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 539 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008535-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8swvxk
title: Occurrence Download

description: A dataset containing 7838 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Najas minor All.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 7838 records from 326 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008536-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14992322
title: СУБСТАНТИВАЦИЯ И АДЪЕКТИВАЦИЯ: ПРОЦЕССЫ И КОНВЕРСИИ ЧАСТЕЙ РЕЧИ И ИХ СИНТАКСИЧЕСКИЕ ПОСЛЕДСТВИЯ
DOI: 10.5281/zenodo.14992323
title: СУБСТАНТИВАЦИЯ И АДЪЕКТИВАЦИЯ: ПРОЦЕССЫ И КОНВЕРСИИ ЧАСТЕЙ РЕЧИ И ИХ СИНТАКСИЧЕСКИЕ ПОСЛЕДСТВИЯ
DOI: 10.6084/m9.figshare.28558241
title: LibScan_An LLM-Based Tool for Smart Contract Library Misuse Identification

description: Smart contracts, as programs capable of complex operations, operate on the blockchain and are com monly coded in the Solidity language. Solid ity, an object-oriented programming language, fre quently incorporates a variety of libraries to boost the reusability of code and simplify the intricacies of smart contract development. However, this prac tice often gives rise to library misuse, where incor rect implementation or application of libraries can lead to flaws in the contract. At present, there is a lack of tools that can effectively detect and recog nize patterns of library misuse within smart con tracts. To fill this gap, we introduce LibScan, a tool powered by large language models (LLMs) to identify the vulnerabilities caused by library mis use. LibScan captures the distinctive features and qualities of each library misuse pattern and lever ages a Generative Pre-training Transformer (GPT) to align contract code with these patterns, pinpoint ing instances of library misuse. It uses an iterative feedback mechanism to refine the LLM’s accuracy, particularly for sophisticated contracts, and corrob orates its findings with static analysis techniques. The tool’s effectiveness is underscored by its per formance metrics, which are notably high in both identifying true positives and minimizing false pos itives. We also explore the current limitations of the tool and propose avenues for future research to en hance its capabilities.
DOI: 10.15468/dl.vufp9d
title: Occurrence Download

description: A dataset containing 6340 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Hydrangea paniculata Siebold)",
 "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 6340 records from 162 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008608-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4fzqfs
title: Occurrence Download

description: A dataset containing 28992 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Nandina domestica Thunb.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 28992 records from 192 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008537-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14992330
title: TALENT ACQUISITION AND SKILL GAPS IN THE US AND CHINA
DOI: 10.5281/zenodo.14992331
title: TALENT ACQUISITION AND SKILL GAPS IN THE US AND CHINA
DOI: 10.15468/dl.dx8fm5
title: Occurrence Download

description: A dataset containing 4734 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Hydrilla verticillata (L.f.) Royle)",
 "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 4734 records from 202 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008538-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9xbzfp
title: Occurrence Download

description: A dataset containing 940 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Psix tunetanus",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 940 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008610-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wsuhx2
title: Occurrence Download

description: A dataset containing 18606 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((97 26,108 26,108 34,97 34,97 26))",
 "Month is one of (June, July, August, September, October, November, December)",
 "OccurrenceStatus is Present",
 "Year 2023-2023"
 ]
}

 The dataset includes 18606 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008539-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14992265
title: The Spread Of Deepfake Among Adolescents
DOI: 10.5281/zenodo.14992266
title: The Spread Of Deepfake Among Adolescents
DOI: 10.34740/kaggle/dsv/10958875
title: Pancreatic Cancer Diagnostic Dataset (LMR Center)
DOI: 10.15468/dl.g6dq8z
title: Occurrence Download

description: A dataset containing 2788 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Hydrocharis laevigata (Humb. & Bonpl. ex Willd.) Byng & Christenh.)",
 "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 2788 records from 127 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008611-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tgmgaq
title: Occurrence Download

description: A dataset containing 1233264 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Corvus splendens Vieillot, 1817"
 ]
}

 The dataset includes 1233264 records from 109 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008604-250227182430271/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.28558283
title: Detecting simulated symptoms in chronic pain and fibromyalgia: A two-study evaluation of the Italian version of the Self-Report Symptom Inventory

description: The subjective nature of pain complicates objective verification, often leading to noncredible symptom reports in compensable settings. Across two studies, we evaluated the Italian Self-Report Symptom Inventory (SRSI-It) in distinguishing healthy individuals, simulators, and fibromyalgia patients. In Study 1, we assigned 958 participants to the honest (<i>n</i> = 482) or simulator group (<i>n</i> = 476). Simulators reported higher scores on genuine and pseudosymptoms. A cut score &gt; 6 showed 92% specificity and 64% sensitivity; &gt; 9 raised specificity to 95%. The SRSI-It identified 62% and 58% of simulators at &gt; 6 and &gt; 9, respectively, compared to 76% identified by the SIMS. In Study 2, we recruited 100 patients and paired each with a healthy control and a fibromyalgia simulator (<i>N</i> = 300). Simulators scored highest on pseudosymptoms, while patients scored higher than controls. The SRSI-It identified 73% and 61% of simulators at cut scores of &gt; 6 and &gt; 9, compared to 51% and 34% of patients and 15% and 13% of controls. The SRSI-It demonstrated sensitivity to simulated pain, suggesting its utility in distinguishing simulators from honest respondents in clinical and forensic settings. However, caution is warranted to avoid misclassifying genuine patients, highlighting the need for complementary tools.
DOI: 10.15468/dl.346abm
title: Occurrence Download

description: A dataset containing 1044861 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Coturnix chinensis (Linnaeus, 1766), Coturnix coturnix (Linnaeus, 1758), Coturnix japonica Temminck & Schlegel, 1848, Coturnix ypsilophora Bosc, 1792, Crotophaga ani Linnaeus, 1758)"
 ]
}

 The dataset includes 1044861 records from 2472 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008606-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1059948.10fu
title: SH1059948.10FU

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/sh1059953.10fu
title: SH1059953.10FU

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/sh1059960.10fu
title: SH1059960.10FU

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/sh1059962.10fu
title: SH1059962.10FU

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/sh1059964.10fu
title: SH1059964.10FU

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.