cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0190947.10fu
title: SH0190947.10FU

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/sh0190948.10fu
title: SH0190948.10FU

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/sh0190949.10fu
title: SH0190949.10FU

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/sh0190950.10fu
title: SH0190950.10FU

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/sh0190951.10fu
title: SH0190951.10FU

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/sh0190952.10fu
title: SH0190952.10FU

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/sh0190953.10fu
title: SH0190953.10FU

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/sh0190954.10fu
title: SH0190954.10FU

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/sh0190955.10fu
title: SH0190955.10FU

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.bvk3qy
title: Occurrence Download

description: A dataset containing 2177 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Proscopiidae"
 ]
}

 The dataset includes 2177 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017794-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9kzdyd
title: Occurrence Download

description: A dataset containing 730752 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-96.98089 38.90192,-96.23909 38.90192,-96.23909 39.43575,-96.98089 39.43575,-96.98089 38.90192))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 730752 records from 340 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017788-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hwdpdc
title: Occurrence Download

description: A dataset listing the 64 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-120.33834 48.92354,-118.57970 48.92354,-118.57970 49.62666,-120.33834 49.62666,-120.33834 48.92354))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Osmia Panzer, 1806"
 ]
}

 The dataset's 64 records were derived from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017793-241107131044228/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.27798378
title: Final Thesis IONM Masterchart (1).xlsx

description: <b>Abstract</b><br><b>Introduction: </b>Neurophysiological monitoring practiced as a diagnostic modality to determine intra-operative neural damage. There remains great lacuna of significant research underlining its therapeutic role in terms of determining and modifying patient’s motor or sensory improvement.<br><b>Aim: </b>To study the role of Intraoperative neurophysiological changes by means of SSEP (somatosensory evoked potential) and MEP (Motor evoked potential) in spinal surgery cases and its use as a determinant of post-operative outcome.<br><b>Methodology: </b>A prospective observational study. Patients undergoing spine surgeries, irrespective of their aetiology and procedure, were monitored using MEP and SSEP. Groups were made based on changes in intraoperative neuromonitoring graph. Outcome was observed by clinical assessment, in immediate post-operative phase (after 48 hr) and after 6 months.<br><b>Results: </b>Patients who had transient MEP decline had no post-operative deficits. On the contrary, these patients along with the cases with no MEP change or improved MEP trace from baseline, had improvement from baseline motor examination. Of the 9 patients, showing permanent MEP decrease, 8 had post-operative motor deficits. Similarly, 3 patients had intraoperative SSEP decline, of whom 1 had post-operative sensory deficit. In 38 patients, there was improvement in MEP/SSEP from baseline reading intra-operatively, showing clinical improvement too.<br><b>Conclusion: </b>Along with supporting the hypothesis of therapeutic benefits of IONM by predicting post-operative outcome and thereby preventing clinical deficit, this study also suggests about the higher sensitivity and specificity of MEP as compared to SSEP in spine surgery cases.
DOI: 10.6084/m9.figshare.27798378.v1
title: Final Thesis IONM Masterchart (1).xlsx

description: <b>Abstract</b><br><b>Introduction: </b>Neurophysiological monitoring practiced as a diagnostic modality to determine intra-operative neural damage. There remains great lacuna of significant research underlining its therapeutic role in terms of determining and modifying patient’s motor or sensory improvement.<br><b>Aim: </b>To study the role of Intraoperative neurophysiological changes by means of SSEP (somatosensory evoked potential) and MEP (Motor evoked potential) in spinal surgery cases and its use as a determinant of post-operative outcome.<br><b>Methodology: </b>A prospective observational study. Patients undergoing spine surgeries, irrespective of their aetiology and procedure, were monitored using MEP and SSEP. Groups were made based on changes in intraoperative neuromonitoring graph. Outcome was observed by clinical assessment, in immediate post-operative phase (after 48 hr) and after 6 months.<br><b>Results: </b>Patients who had transient MEP decline had no post-operative deficits. On the contrary, these patients along with the cases with no MEP change or improved MEP trace from baseline, had improvement from baseline motor examination. Of the 9 patients, showing permanent MEP decrease, 8 had post-operative motor deficits. Similarly, 3 patients had intraoperative SSEP decline, of whom 1 had post-operative sensory deficit. In 38 patients, there was improvement in MEP/SSEP from baseline reading intra-operatively, showing clinical improvement too.<br><b>Conclusion: </b>Along with supporting the hypothesis of therapeutic benefits of IONM by predicting post-operative outcome and thereby preventing clinical deficit, this study also suggests about the higher sensitivity and specificity of MEP as compared to SSEP in spine surgery cases.
DOI: 10.15468/dl.pq7dbj
title: Occurrence Download

description: A dataset listing the 38113 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Natural History Museum Rotterdam - Specimens"
 ]
}

 The dataset's 38113 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017796-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6rh8en
title: Occurrence Download

description: A dataset containing 60078 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Colombia",
 "GadmGid is one of (COL.2.92_2, COL.2.44_2, COL.2.103_2)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 60078 records from 141 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017799-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57967/hf/3525
title: 31K_Kashmiri_text_and_image_dataset_for_text_Recognition
DOI: 10.15468/dl.q6rdgw
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Platymantis isarog Brown, Brown, Alcala & Frost, 1997",
 "Year 1950-2024"
 ]
}

 The dataset includes 16 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017801-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.82vd8y
title: Occurrence Download

description: A dataset containing 946256 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-75.22219 1.21514,-72.38491 1.21514,-72.38491 3.93038,-75.22219 3.93038,-75.22219 1.21514))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 946256 records from 541 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017798-241107131044228/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/9926782
title: Balochi Language to English Translation Dataset
DOI: 10.15468/dl.5bvru9
title: Occurrence Download

description: A dataset containing 60 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Platymantis mimulus Brown, Alcala & Diesmos, 1997",
 "Year 1950-2024"
 ]
}

 The dataset includes 60 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017802-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14131423
title: Supplementary material of the manuscript "Beyond authorship: Analyzing disciplinary patterns of contribution statements using the CRediT taxonomy"

description: Supplementary material of the manuscript "Beyond authorship: Analyzing disciplinary patterns of contribution statements using the CRediT taxonomy". In this research article we present the first cross-disciplinary descriptive analysis on the use of contribution statements. Our main objective is to obtain further insight on contributions by a variety of fields (Multidisciplinary, Health, Life, Physical and Social Sciences) from the largest dataset used up to now. We examine more than 700,000 articles published between 2017 and 2024 in Elsevier and PLOS journals, in combination with bibliometric data extracted from the Scopus database. The descriptive analysis of the dataset focuses on the overall coverage of the merged data, the distribution of authorship and disciplines at paper level, and the interactions between contribution statements, author order and disciplines. Our two main findings indicate that, on the one hand, looking at contributions and authorship order can enrich the way we understand science as a social endeavor. On the other hand, delving deeper into contributorship differences by field is key. We underscore the value of the CRediT taxonomy in unveiling nuanced research dynamics and offering a more equitable framework for evaluation.
description: This paper is part of the COMPARE project (Ref: PID2020-117007RA-I00) funded by the Spanish Ministry of Science (Ref: MCIN/AEI/10.13039/501100011033 FSE invierte en tu futuro). Elvira González-Salmón is currently supported by an FPU grant from the Spanish Ministry of Science (Ref: FPU2021/02320). Victoria Di Césare is supported by a FPI grant from the Spanish Ministry of Science (Ref: PRE2021-097022). Aoxia Xiao is supported by a scholarship by from the China State Scholarship Fund. Nicolas Robinson-Garcia is supported by a Ramón y Cajal grant from the Spanish Ministry of Science (Ref: RYC2019-027886-I).
DOI: 10.15468/dl.gxa4ts
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Platymantis montanus (Taylor, 1922)"
 ]
}

 The dataset includes 38 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017803-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5a6ure
title: Occurrence Download

description: A dataset containing 30853 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhagium mordax (Degeer, 1775)"
 ]
}

 The dataset includes 30853 records from 390 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017804-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.55abrp
title: Occurrence Download

description: A dataset containing 23400 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gossypium hirsutum L."
 ]
}

 The dataset includes 23400 records from 397 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017805-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8ahkcj
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "StateProvince is Iowa",
 "VerbatimScientificName is Cottus cognatus"
 ]
}

 The dataset includes 34 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0216595-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ahqqdb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Porifera",
 "DatasetKey is Programmes d'Atlas de la biodiversité communale (ABC) - Données ANA - CEN Ariège sur les ABC",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-25.03991 31.75, 41.65954 31.75, 41.65954 71.53037, -25.03991 71.53037, -25.03991 31.75))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0221852-230224095556074/datasets/export for details.
DOI: 10.15468/dl.5m8b9e
title: Occurrence Download

description: A dataset containing 1585 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Austria",
 "GadmGid is AUT.7_1",
 "TaxonKey is Zygaenidae"
 ]
}

 The dataset includes 1585 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0257683-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.