cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1411943.10fu
title: SH1411943.10FU

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.rsqffp
title: Occurrence Download

description: A dataset containing 1455 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Geometry POLYGON((111.357 21.461,115.422 21.461,115.422 24.392,111.357 24.392,111.357 21.461))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Trimeresurus albolabris"
 ]
}

 The dataset includes 1455 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006314-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1411947.10fu
title: SH1411947.10FU

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/sh1411957.10fu
title: SH1411957.10FU

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: 10.5281/zenodo.18232356
title: TABLE 1 in A new species of Chthonerpeton (Amphibia: Gymnophiona: Typhlonectidae) from Rio de Janeiro, Brazil

description: TABLE 1. Morphometric data (in mm) of MZUSP-161064, the holotype of Chthonerpeton markwilkinsoni sp. nov.
Holotype MZUSP-161064Total length365Midbody width13.4Head length11.9Head width9.5Projection of the snout2.5Eyes-distance6.7Eye-nostril distance4.5Eye-tentacle distance2.1Tentacle-nostril distance2.4Primary annuli99Vertebrae109Terminal shield6.6Premaxillary–maxillary teeth41Vomeropalatine teeth37Dentary teeth34Inner mandibular teeth9
description: Published as part of Santos, Rodolfo Otávio, Pineschi, Renato Balieiro & Zaher, Hussam, 2025, A new species of Chthonerpeton (Amphibia: Gymnophiona: Typhlonectidae) from Rio de Janeiro, Brazil, pp. 568 in Zootaxa 5728 (3) on page 568, DOI: 10.11646/zootaxa.5728.3.6, http://zenodo.org/record/17895003
DOI: 10.5281/zenodo.16627584
title: Global Civil Unrest on Twitter (G-CUT) [Full]

description: We collected geotagged tweets from the Twitter streaming API from 2014 to 2019 (inclusive) for 42 countries from Africa, the Middle East, and Southeast Asia. Only English tweets are included (as identified by langid). This release is the entire dataset.

Used in the following papers:



Abhinav Chinta, Jingyu Zhang, Alexandra DeLucia, Mark Dredze, and Anna L. Buczak. 2021. Study of Manifestation of Civil Unrest on Twitter. In Proceedings of the Seventh Workshop on Noisy User-generated Text (W-NUT 2021), pages 396–409, Online. Association for Computational Linguistics.

Alexandra DeLucia, Mark Dredze, and Anna L. Buczak. 2023. A Multi-instance Learning Approach to Civil Unrest Event Detection on Twitter. In Proceedings of the 6th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text, pages 18–33, Varna, Bulgaria. INCOMA Ltd., Shoumen, Bulgaria.


 

Please cite the Chinta et al 2021 paper if you use this dataset:



@inproceedings{chinta-etal-2021-study,    title = "Study of Manifestation of Civil Unrest on {T}witter",    author = "Chinta, Abhinav  and      Zhang, Jingyu  and      DeLucia, Alexandra  and      Dredze, Mark  and      Buczak, Anna L.",    editor = "Xu, Wei  and      Ritter, Alan  and      Baldwin, Tim  and      Rahimi, Afshin",    booktitle = "Proceedings of the Seventh Workshop on Noisy User-generated Text (W-NUT 2021)",    month = nov,    year = "2021",    address = "Online",    publisher = "Association for Computational Linguistics",    url = "https://aclanthology.org/2021.wnut-1.44/",    doi = "10.18653/v1/2021.wnut-1.44",    pages = "396--409"}
DOI: 10.5281/zenodo.16627585
title: Global Civil Unrest on Twitter (G-CUT) [Full]

description: We collected geotagged tweets from the Twitter streaming API from 2014 to 2019 (inclusive) for 42 countries from Africa, the Middle East, and Southeast Asia. Only English tweets are included (as identified by langid). This release is the entire dataset.

Used in the following papers:



Abhinav Chinta, Jingyu Zhang, Alexandra DeLucia, Mark Dredze, and Anna L. Buczak. 2021. Study of Manifestation of Civil Unrest on Twitter. In Proceedings of the Seventh Workshop on Noisy User-generated Text (W-NUT 2021), pages 396–409, Online. Association for Computational Linguistics.

Alexandra DeLucia, Mark Dredze, and Anna L. Buczak. 2023. A Multi-instance Learning Approach to Civil Unrest Event Detection on Twitter. In Proceedings of the 6th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text, pages 18–33, Varna, Bulgaria. INCOMA Ltd., Shoumen, Bulgaria.


 

Please cite the Chinta et al 2021 paper if you use this dataset:



@inproceedings{chinta-etal-2021-study,    title = "Study of Manifestation of Civil Unrest on {T}witter",    author = "Chinta, Abhinav  and      Zhang, Jingyu  and      DeLucia, Alexandra  and      Dredze, Mark  and      Buczak, Anna L.",    editor = "Xu, Wei  and      Ritter, Alan  and      Baldwin, Tim  and      Rahimi, Afshin",    booktitle = "Proceedings of the Seventh Workshop on Noisy User-generated Text (W-NUT 2021)",    month = nov,    year = "2021",    address = "Online",    publisher = "Association for Computational Linguistics",    url = "https://aclanthology.org/2021.wnut-1.44/",    doi = "10.18653/v1/2021.wnut-1.44",    pages = "396--409"}
DOI: 10.15468/dl.ky2fq4
title: Occurrence Download

description: A dataset containing 347 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Alectoria nigricans)",
 "Country is one of (Norway)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 "Year is greater than or equal to 1986",
 "Year is less than or equal to 2025",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is Machine Observation"
 ]
 }
 }
 ]
}

 The dataset includes 347 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025471-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.76e89b
title: Occurrence Download

description: A dataset containing 166 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Henonia scoparia"
 ]
}

 The dataset includes 166 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0086160-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17866/rd.salford.3172921
title: Data for 'Evaluating a distortion-weighted glimpsing metric for predicting binaural speech intelligibility in rooms'

description: This repository contains the experiment interfaces and the stimuli that were used to elicit listener responses of speech intelligibility in noisy and reverberant listening conditions, presented in the following work:<br><br>Tang, Y., Hughes, R. J., Fazenda, B. M., and Cox, T. J. (2016). "Evaluating a distortion-weighted glimpsing metric for predicting binaural speech intelligibility in rooms", Speech Communication, 82, 26-37. doi:10.1016/j.specom.2016.04.003
DOI: 10.17866/rd.salford.3172921.v1
title: Data for 'Evaluating a distortion-weighted glimpsing metric for predicting binaural speech intelligibility in rooms'

description: This repository contains the experiment interfaces and the stimuli that were used to elicit listener responses of speech intelligibility in noisy and reverberant listening conditions, presented in the following work:<br><br>Tang, Y., Hughes, R. J., Fazenda, B. M., and Cox, T. J. (2016). "Evaluating a distortion-weighted glimpsing metric for predicting binaural speech intelligibility in rooms", Speech Communication, 82, 26-37. doi:10.1016/j.specom.2016.04.003
DOI: 10.15468/dl.7k9xzq
title: Occurrence Download

description: A dataset containing 86 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Ceraria carrissoana Exell & Mendonça",
 "TaxonKey is Ceraria namaquensis (Sond.) Pearson & Stephens",
 "TaxonKey is Ceraria longipedunculata Merxm. & Podlech",
 "TaxonKey is Ceraria H.Pearson & Stephens",
 "TaxonKey is Calyptrotheca Gilg"
 ]
 },
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "Geometry POLYGON((-18.984375 43.068887,-31.640625 7.710991,7.734374 -43.068887,78.75 -33.137551,85.078125 18.646245,86.484375 42.032974,-18.984375 43.068887))"
 ]
}

 The dataset includes 86 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078256-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b4ru2d
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040723-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.df49sv
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Stichoneuron membranaceum Hook.f."
 ]
}

 The dataset includes 24 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0257840-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.me6022
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040710-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qroeb0
title: Occurrence Download

description: A dataset containing 625933566 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 625933566 records from 13484 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058596-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.33765.81120
title: ENDEMIC LITSEA LAM. (LAURACEAE) OF INDIA – I
DOI: 10.13140/rg.2.2.22152.83201
title: Chaotic Moth-Flame Optimization
DOI: 10.15468/dl.qm9x5t
title: Occurrence Download

description: A dataset containing 19911 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Celtis laevigata"
 ]
}

 The dataset includes 19911 records from 212 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025385-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60712/si-id41378.1
title: StrainInfo SI-ID 41378.1

description: StrainInfo dataset 41378 about a strain of Hydrogenovibrio crunogenus. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id41442.1
title: StrainInfo SI-ID 41442.1

description: StrainInfo dataset 41442 about a strain of Bacillus subtilis. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.15468/dl.6rtsgx
title: Occurrence Download

description: A dataset containing 189 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Fratercula arctica arctica",
 "TaxonKey is Fratercula arctica naumanni Norton, 1901",
 "TaxonKey is Fratercula arctica (Linnaeus, 1758)"
 ]
 },
 {
 "or" : [
 "Country is Greenland",
 "Country is Iceland",
 "Country is United Kingdom of Great Britain and Northern Ireland"
 ]
 },
 "Year is 1995"
 ]
}

 The dataset includes 189 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008020-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60712/si-id41443.1
title: StrainInfo SI-ID 41443.1

description: StrainInfo dataset 41443 about a strain of Escherichia coli. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id41444.1
title: StrainInfo SI-ID 41444.1

description: StrainInfo dataset 41444 about a strain of Unidentified. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id41300.1
title: StrainInfo SI-ID 41300.1

description: StrainInfo dataset 41300 about a strain of Mycobacterium tuberculosis. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.15468/dl.9676gv
title: Occurrence Download

description: A dataset containing 90690 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Didelphimorphia"
 ]
}

 The dataset includes 90690 records from 496 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0316626-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60712/si-id41301.1
title: StrainInfo SI-ID 41301.1

description: StrainInfo dataset 41301 about a strain of Mycobacterium tuberculosis. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.15468/dl.8t7iax
title: Occurrence Download

description: A dataset containing 2692 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Trachelidae"
 ]
}

 The dataset includes 2692 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034868-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60712/si-id41302.1
title: StrainInfo SI-ID 41302.1

description: StrainInfo dataset 41302 about a strain of Mycobacterium tuberculosis. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id41303.1
title: StrainInfo SI-ID 41303.1

description: StrainInfo dataset 41303 about a strain of Mycobacterium tuberculosis. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.15468/dl.7xerk4
title: Occurrence Download

description: A dataset containing 21110 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Leptura quadrifasciata Linnaeus, 1758, Leptusa europaea Pace, 1996, Leratiomyces ceres (Cooke & Massee) Spooner & Bridge)",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 21110 records from 218 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0320742-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60712/si-id41379.1
title: StrainInfo SI-ID 41379.1

description: StrainInfo dataset 41379 about a strain of Escherichia coli. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id41380.1
title: StrainInfo SI-ID 41380.1

description: StrainInfo dataset 41380 about a strain of Metamycoplasma arthritidis. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.15468/dl.mz2ue2
title: Occurrence Download

description: A dataset containing 5232 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oporornis philadelphia (A.Wilson, 1810)"
 ]
}

 The dataset includes 5232 records from 95 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024407-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60712/si-id41381.1
title: StrainInfo SI-ID 41381.1

description: StrainInfo dataset 41381 about a strain of Unidentified. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.