cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4701442
title: A large-scale COVID-19 Twitter chatter dataset for open scientific research - an international collaboration

description: <em><strong>Version 58 of the dataset. </strong></em> <strong>Due to the relevance of the COVID-19 global pandemic, we are releasing our dataset of tweets acquired from the Twitter Stream related to COVID-19 chatter. Since our first release we have received additional data from our new collaborators, allowing this resource to grow to its current size. Dedicated data gathering started from March 11th yielding over 4 million tweets a day. We have added additional data provided by our new collaborators from January 27th to March 27th, to provide extra longitudinal coverage. Version 10 added ~1.5 million tweets in the Russian language collected between January 1st and May 8th, gracefully provided to us by: Katya Artemova (NRU HSE) and Elena Tutubalina (KFU). From version 12 we have included daily hashtags, mentions and emoijis and their frequencies the respective zip files. From version 14 <em>we</em> have included the tweet identifiers and their respective language for the clean version of the dataset. Since version 20 we have included language and place location for all tweets.</strong> <strong>The data collected from the stream captures all languages, but the higher prevalence are: English, Spanish, and French. We release all tweets and retweets on the full_dataset.tsv file (1,038,591,377 unique tweets), and a cleaned version with no retweets on the full_dataset-clean.tsv file (264,452,150 unique tweets). There are several practical reasons for us to leave the retweets, tracing important tweets and their dissemination is one of them. For NLP tasks we provide the top 1000 frequent terms in frequent_terms.csv, the top 1000 bigrams in frequent_bigrams.csv, and the top 1000 trigrams in frequent_trigrams.csv. Some general statistics per day are included for both datasets in the full_dataset-statistics.tsv and full_dataset-clean-statistics.tsv files. For more statistics and some visualizations visit: http://www.panacealab.org/covid19/ </strong> <strong>More details can be found (and will be updated faster at: https://github.com/thepanacealab/covid19_twitter) and our pre-print about the dataset (https://arxiv.org/abs/2004.03688) </strong> <strong>As always, the tweets distributed here are only tweet identifiers (with date and time added) due to the terms and conditions of Twitter to re-distribute Twitter data ONLY for research purposes. They need to be hydrated to be used.</strong>
description: This dataset will be updated bi-weekly at least with additional tweets, look at the github repo for these updates. Release: We have standardized the name of the resource to match our pre-print manuscript and to not have to update it every week.
DOI: 10.5281/zenodo.4726268
title: A large-scale COVID-19 Twitter chatter dataset for open scientific research - an international collaboration

description: <em><strong>Version 59 of the dataset. </strong></em> <strong>Due to the relevance of the COVID-19 global pandemic, we are releasing our dataset of tweets acquired from the Twitter Stream related to COVID-19 chatter. Since our first release we have received additional data from our new collaborators, allowing this resource to grow to its current size. Dedicated data gathering started from March 11th yielding over 4 million tweets a day. We have added additional data provided by our new collaborators from January 27th to March 27th, to provide extra longitudinal coverage. Version 10 added ~1.5 million tweets in the Russian language collected between January 1st and May 8th, gracefully provided to us by: Katya Artemova (NRU HSE) and Elena Tutubalina (KFU). From version 12 we have included daily hashtags, mentions and emoijis and their frequencies the respective zip files. From version 14 <em>we</em> have included the tweet identifiers and their respective language for the clean version of the dataset. Since version 20 we have included language and place location for all tweets.</strong> <strong>The data collected from the stream captures all languages, but the higher prevalence are: English, Spanish, and French. We release all tweets and retweets on the full_dataset.tsv file (1,050,598,870 unique tweets), and a cleaned version with no retweets on the full_dataset-clean.tsv file (267,084,648 unique tweets). There are several practical reasons for us to leave the retweets, tracing important tweets and their dissemination is one of them. For NLP tasks we provide the top 1000 frequent terms in frequent_terms.csv, the top 1000 bigrams in frequent_bigrams.csv, and the top 1000 trigrams in frequent_trigrams.csv. Some general statistics per day are included for both datasets in the full_dataset-statistics.tsv and full_dataset-clean-statistics.tsv files. For more statistics and some visualizations visit: http://www.panacealab.org/covid19/ </strong> <strong>More details can be found (and will be updated faster at: https://github.com/thepanacealab/covid19_twitter) and our pre-print about the dataset (https://arxiv.org/abs/2004.03688) </strong> <strong>As always, the tweets distributed here are only tweet identifiers (with date and time added) due to the terms and conditions of Twitter to re-distribute Twitter data ONLY for research purposes. They need to be hydrated to be used.</strong>
description: This dataset will be updated bi-weekly at least with additional tweets, look at the github repo for these updates. Release: We have standardized the name of the resource to match our pre-print manuscript and to not have to update it every week.
DOI: 10.15156/bio/sh1218781.09fu
title: SH1218781.09FU

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.4733226
title: A large-scale COVID-19 Twitter chatter dataset for open scientific research - an international collaboration

description: <em><strong>Version 60 of the dataset. </strong></em> <strong>Due to the relevance of the COVID-19 global pandemic, we are releasing our dataset of tweets acquired from the Twitter Stream related to COVID-19 chatter. Since our first release we have received additional data from our new collaborators, allowing this resource to grow to its current size. Dedicated data gathering started from March 11th yielding over 4 million tweets a day. We have added additional data provided by our new collaborators from January 27th to March 27th, to provide extra longitudinal coverage. Version 10 added ~1.5 million tweets in the Russian language collected between January 1st and May 8th, gracefully provided to us by: Katya Artemova (NRU HSE) and Elena Tutubalina (KFU). From version 12 we have included daily hashtags, mentions and emoijis and their frequencies the respective zip files. From version 14 <em>we</em> have included the tweet identifiers and their respective language for the clean version of the dataset. Since version 20 we have included language and place location for all tweets.</strong> <strong>The data collected from the stream captures all languages, but the higher prevalence are: English, Spanish, and French. We release all tweets and retweets on the full_dataset.tsv file (1,062,340,669 unique tweets), and a cleaned version with no retweets on the full_dataset-clean.tsv file (269,761,494 unique tweets). There are several practical reasons for us to leave the retweets, tracing important tweets and their dissemination is one of them. For NLP tasks we provide the top 1000 frequent terms in frequent_terms.csv, the top 1000 bigrams in frequent_bigrams.csv, and the top 1000 trigrams in frequent_trigrams.csv. Some general statistics per day are included for both datasets in the full_dataset-statistics.tsv and full_dataset-clean-statistics.tsv files. For more statistics and some visualizations visit: http://www.panacealab.org/covid19/ </strong> <strong>More details can be found (and will be updated faster at: https://github.com/thepanacealab/covid19_twitter) and our pre-print about the dataset (https://arxiv.org/abs/2004.03688) </strong> <strong>As always, the tweets distributed here are only tweet identifiers (with date and time added) due to the terms and conditions of Twitter to re-distribute Twitter data ONLY for research purposes. They need to be hydrated to be used.</strong>
description: This dataset will be updated bi-weekly at least with additional tweets, look at the github repo for these updates. Release: We have standardized the name of the resource to match our pre-print manuscript and to not have to update it every week.
DOI: 10.15468/dl.c2jnyw
title: Occurrence Download

description: A dataset containing 3273 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 {
 "or" : [
 "TaxonKey is Elaphoglossum peltatum (Sw.) Urb.",
 "TaxonKey is Osmunda peltata Sw.",
 "TaxonKey is Acrostichum peltatum (Sw.) Sw."
 ]
 }
 ]
}

 The dataset includes 3273 records from 100 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0240299-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8z22t5
title: Occurrence Download

description: A dataset containing 348 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Sea cucumbers (Echinodemata, Holothuroidea) from the JR275 expedition to the Eastern Weddell Sea, Antarctica - Data"
 ]
}

 The dataset includes 348 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0312146-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dr5bh9
title: Occurrence Download

description: A dataset containing 803 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 7) Relative abundances of stratigraphically useful planktonic foraminifers from ODP Hole 167-1020B sediments"
 ]
}

 The dataset includes 803 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000368-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7yhr9o
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Egypt",
 "Geometry POLYGON((14.85277 22.22868,51.14723 22.22868,51.14723 36.77132,14.85277 36.77132,14.85277 22.22868))",
 "HasCoordinate is true",
 "TaxonKey is Chiliadenus montanus (Vahl) Brullo",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008099-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.prqd4k
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Quaternella glabratoides (Suess.) Pedersen",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 12 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003244-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bfqysv
title: Occurrence Download

description: A dataset containing 180 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Echiophis intertinctus (Richardson, 1848)"
 ]
}

 The dataset includes 180 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032759-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tzioqe
title: Occurrence Download

description: A dataset containing 67 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scapteriscus borellii Giglio-Tos, 1894",
 "Geometry POLYGON((-119 10,-119 43,-63 43,-63 10,-119 10))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 67 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000369-150615163101818/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.shues8
title: Occurrence Download

description: A dataset containing 1905 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Peperomia galioides Kunth"
 ]
}

 The dataset includes 1905 records from 113 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009433-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ivsz3d
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tetragona kaieteurensis (Schwarz, 1938)"
 ]
}

 The dataset includes 17 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008099-180824113759888/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.1fae2s
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2015",
 "Month is greater than or equal to January",
 "Country is Australia",
 "TaxonKey is 106369205"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000369-150827100048397/datasets/export for details.
DOI: 10.15468/dl.tk5kzh
title: Occurrence Download

description: A dataset listing the 2036 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "Geometry POLYGON((-101.96138 21.71635,-101.15938 21.71635,-101.15938 22.03701,-101.96138 22.03701,-101.96138 21.71635))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 1970-2021"
 ]
}

 The dataset's 2036 records were derived from 101 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0296659-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eb7tct
title: Occurrence Download

description: A dataset containing 295 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 {
 "or" : [
 "DatasetKey is Tropicos MO Specimen Data",
 "DatasetKey is Geneva Herbarium – General Collection (G)",
 "DatasetKey is SPF - Herbário da Universidade de São Paulo",
 "DatasetKey is Field Museum of Natural History (Botany) Seed Plant Collection",
 "DatasetKey is Instituto de Botánica Darwinion",
 "DatasetKey is The New York Botanical Garden Herbarium (NY)",
 "DatasetKey is Natural History Museum (London) Collection Specimens",
 "DatasetKey is CGMS - Herbário da Fundação Universidade Federal de Mato Grosso do Sul",
 "DatasetKey is RB - Rio de Janeiro Botanical Garden Herbarium Collection",
 "DatasetKey is HUEFS - Herbario da Universidade Estadual de Feira de Santana"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "Issue is Geodetic datum assumed WGS84",
 "Issue is Coordinate reprojected"
 ]
 },
 "TaxonKey is Handroanthus heptaphyllus (Vell.) Mattos"
 ]
}

 The dataset includes 295 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0263177-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x6qxen
title: Occurrence Download

description: A dataset containing 2734 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Living Specimen"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Antechinus swainsonii (Waterhouse, 1840)"
 ]
}

 The dataset includes 2734 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081049-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8hmr6w
title: Occurrence Download

description: A dataset containing 12147 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Danish Ants (Formicidae)"
 ]
}

 The dataset includes 12147 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0322921-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d33fvz
title: Occurrence Download

description: A dataset containing 81 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-107.33707 -34.14214,-36.66293 -34.14214,-36.66293 -5.85786,-107.33707 -5.85786,-107.33707 -34.14214))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Neotomys ebriosus Thomas, 1894"
 ]
}

 The dataset includes 81 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0285097-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q27nm9
title: Occurrence Download

description: A dataset containing 123066 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Romania",
 "DatasetKey is Observation.org, Nature data from around the World"
 ]
}

 The dataset includes 123066 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0240288-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x97dm5
title: Occurrence Download

description: A dataset listing the 9 species recorded in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Zelkova serrata (Thunb.) Makino"
 ]
}

 The dataset's 9 records were derived from 171 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061590-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f39kuu
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ruellia exilis Mc Dade & E.A.Tripp"
 ]
}

 The dataset includes 22 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000369-160803222355964/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5862h8
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((4.275 51.225,4.325 51.225,4.325 51.275,4.275 51.275,4.275 51.225))",
 "DatasetKey is Observation.org, Nature data from around the World",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0304490-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.af4uqu
title: Occurrence Download

description: A dataset listing the 308 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Données STOC-EPS"
 ]
}

 The dataset's 308 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0231251-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xnzc58
title: Occurrence Download

description: A dataset containing 4560 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Beckmannia syzigachne (Steud.) Fernald"
 ]
}

 The dataset includes 4560 records from 198 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053273-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yrqvee
title: Occurrence Download

description: A dataset containing 62 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "TaxonKey is Delphinium montanum DC. ex Lam. & DC."
 ]
}

 The dataset includes 62 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000369-170821155850132/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zbhqsp
title: Occurrence Download

description: A dataset containing 403 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Inia geoffrensis (Blainville, 1817)"
 ]
}

 The dataset includes 403 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035944-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.54vut8
title: Occurrence Download

description: A dataset containing 79106 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Greece",
 "DatasetKey is iNaturalist Research-grade Observations"
 ]
}

 The dataset includes 79106 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0240296-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.iuszcc
title: Occurrence Download

description: A dataset containing 2212 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is RIVM (NL) - Earthworm Observations in Soil Samples"
 ]
}

 The dataset includes 2212 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006154-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.