cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.6f2xxz
title: Occurrence Download

description: A dataset containing 1146 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Dioxyna sororcula (Wiedemann, 1830))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1146 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083374-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6rbvcj
title: Occurrence Download

description: A dataset containing 9000 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ranunculus paludosus Poir.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 9000 records from 134 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0291895-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8fewar
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Onopordum bracteatum Boiss. & Heldr.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 46 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0236928-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7yv95c
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hypericum annulatum Moris",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 39 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0300667-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7ep5bn
title: Occurrence Download

description: A dataset containing 18756 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lathyrus japonicus Willd.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 18756 records from 231 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0263270-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.83fnr3
title: Occurrence Download

description: A dataset containing 72 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pilosella brachycoma (Nägeli & Peter) H.P.Fuchs",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 72 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0295167-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7zyzf3
title: Occurrence Download

description: A dataset containing 1271 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Marrubium peregrinum L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1271 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0299686-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.243ep8
title: Occurrence Download

description: A dataset containing 84929 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Genista tinctoria L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 84929 records from 491 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0261660-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2024-04.3084516/2551561
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3084517/2551562
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3084518/2551563
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3084519/2551564
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3084520/2551565
title: Data for EMSL Project 51287 from April 2024
DOI: 10.5281/zenodo.17485210
title: Institutional Quality, Macroeconomic Policy, and Sustainable Growth in Thailand

description: This dataset is used for the analysis in the article attached. https://www.mdpi.com/2071-1050/17/16/7524
DOI: 10.5281/zenodo.17485209
title: Institutional Quality, Macroeconomic Policy, and Sustainable Growth in Thailand

description: This dataset is used for the analysis in the article attached. https://www.mdpi.com/2071-1050/17/16/7524
DOI: 10.25549/inscriptifact-ouc112041449
title: Cuneiform Tablet 1913.14.1721, Spurlock 1913.14.1721

description: [Text Description:] Document concerning silver ❧ [Text or Publication Number Note:] Spurlock 1913.14.1721; CDLI P421572 ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Dark Gray (N 3.75/ 10.4% R) Moderate Yellowish Pink (5YR 7.5/4) Pale Orange Yellow (10YR 8.5/2.5) ❧ [Physical Object Note:] 3.4 x 2.5 x 1.5 cm (14 g)
DOI: 10.15468/dl.5khzvk
title: Occurrence Download

description: A dataset containing 2581 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gossypium barbadense L.",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 2581 records from 160 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0377598-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tpvh8z
title: Occurrence Download

description: A dataset containing 3147 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lepista personata (Fr.) Cooke, Lepista rickenii Singer, Lepiota sordida Rick)",
 "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 3147 records from 100 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0359042-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vthspa
title: Occurrence Download

description: A dataset containing 33101 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Myiopagis gaimardii (Orbigny, 1840)"
 ]
}

 The dataset includes 33101 records from 103 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0377590-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc112041619
title: Cuneiform Tablet 1913.14.1721, Spurlock 1913.14.1721

description: [Text Description:] Document concerning silver ❧ [Text or Publication Number Note:] Spurlock 1913.14.1721; CDLI P421572 ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Dark Gray (N 3.75/ 10.4% R) Moderate Yellowish Pink (5YR 7.5/4) Pale Orange Yellow (10YR 8.5/2.5) ❧ [Physical Object Note:] 3.4 x 2.5 x 1.5 cm (14 g)
DOI: 10.15468/dl.by6wrg
title: Occurrence Download

description: A dataset containing 327 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chiroptera",
 "Country is Slovakia"
 ]
}

 The dataset includes 327 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024352-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s9yk89
title: Occurrence Download

description: A dataset containing 2543 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Phlogophilus hemileucurus Gould, 1860)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2543 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0301735-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc112041667
title: Cuneiform Tablet 1913.14.1721, Spurlock 1913.14.1721

description: [Text Description:] Document concerning silver ❧ [Text or Publication Number Note:] Spurlock 1913.14.1721; CDLI P421572 ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Dark Gray (N 3.75/ 10.4% R) Moderate Yellowish Pink (5YR 7.5/4) Pale Orange Yellow (10YR 8.5/2.5) ❧ [Physical Object Note:] 3.4 x 2.5 x 1.5 cm (14 g)
DOI: 10.15468/dl.xdjnbc
title: Occurrence Download

description: A dataset containing 4944551 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4944551 records from 2276 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0359058-210914110416597/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.31044040
title: A dataset from ten disasters for studying location descriptions and training AI models

description: Location information is highly important during a natural disaster for reaching victims and coordinating response and relief efforts. In recent years, people increasingly use social media to post messages during a disaster, and describe the locations of victims, damages, difficult situations, and relief resources. Many of these location descriptions are in the forms of detailed and multi-entity descriptions, such as door number addresses, road intersections, and highway exits. Currently, there is limited availability of datasets containing these detailed location descriptions, which hinders their understanding and automatic extraction. This paper fills this gap by providing a dataset that contains labeled location descriptions from ten disasters in the United States and in five disaster types: hurricanes, floods, wildfires, tornados, and winter storms. The messages containing location descriptions are collected from the social media platform Twitter/X, and we describe the collection, labeling, and validation of this dataset. This dataset can be used for studying the ways people describe locations under disaster contexts and for training AI models to extract these important locations.
DOI: 10.6084/m9.figshare.31044040.v1
title: A dataset from ten disasters for studying location descriptions and training AI models

description: Location information is highly important during a natural disaster for reaching victims and coordinating response and relief efforts. In recent years, people increasingly use social media to post messages during a disaster, and describe the locations of victims, damages, difficult situations, and relief resources. Many of these location descriptions are in the forms of detailed and multi-entity descriptions, such as door number addresses, road intersections, and highway exits. Currently, there is limited availability of datasets containing these detailed location descriptions, which hinders their understanding and automatic extraction. This paper fills this gap by providing a dataset that contains labeled location descriptions from ten disasters in the United States and in five disaster types: hurricanes, floods, wildfires, tornados, and winter storms. The messages containing location descriptions are collected from the social media platform Twitter/X, and we describe the collection, labeling, and validation of this dataset. This dataset can be used for studying the ways people describe locations under disaster contexts and for training AI models to extract these important locations.
DOI: 10.15468/dl.w8twkh
title: Occurrence Download

description: A dataset containing 249238 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Chelmonops curiosus, Chelon bispinosus, Chilomycterus antennatus, Chilomycterus antillarum, Chilomycterus reticulatus, Chilomycterus schoepfii, Chilorhinus platyrhynchus, Chilorhinus suensonii, Chirocentrus dorab, Chirodactylus jessicalenorum, Chlidichthys abruptus, Chlidichthys auratus, Chlidichthys bibulus, Chlidichthys cacatuoides, Chlidichthys chagosensis, Chlidichthys clibanarius, Chlidichthys foudioides, Chlidichthys inornatus, Chlidichthys johnvoelckeri, Chlidichthys pembae, Chlidichthys randalli, Chlidichthys rubiceps, Chlidichthys smithae, Chloroscombrus chrysurus, Chlorurus atrilunula, Chlorurus bleekeri, Chlorurus bowersi, Chlorurus capistratoides, Chlorurus cyanescens, Chlorurus enneacanthus, Chlorurus frontalis, Chlorurus genazonatus, Chlorurus gibbus, Chlorurus japanensis, Chlorurus microrhinos, Chlorurus oedema, Chlorurus perspicillatus, Chlorurus rhakoura, Chlorurus sordidus, Chlorurus strongylocephalus, Chlorurus troschelii, Choerodon anchorago, Choerodon cephalotes, Choerodon fasciatus, Choerodon frenatus, Choerodon gomoni, Choerodon graphicus, Choerodon gymnogenys, Choerodon jordani, Choerodon margaritiferus, Choerodon melanostigma, Choerodon monostigma, Choerodon oligacanthus, Choerodon paynei, Choerodon robustus, Choerodon rubescens, Choerodon sugillatum, Choerodon venustus, Choerodon vitta, Choerodon zamboangae, Choerodon zosterophorus, Choeroichthys cinctus, Choeroichthys sculptus, Choeroichthys smithi, Choeroichthys suillus, Chorisochismus dentex, Chriolepis cuneata, Chriolepis dialepta, Chriolepis fisheri, Chriolepis lepidota, Chriolepis minutillus, Chriolepis tagus, Chriolepis zebra, Chromis albomaculata, Chromis alpha, Chromis alta, Chromis analis, Chromis atripectoralis, Chromis axillaris, Chromis cadenati, Chromis chromis, Chromis chrysura, Chromis cinerascens, Chromis crusma, Chromis dasygenys, Chromis flavapicis, Chromis flavicauda, Chromis fumea, Chromis hypsilepis, Chromis insolata, Chromis klunzingeri, Chromis limbata, Chromis limbaughi, Chromis lubbocki, Chromis mirationis, Chromis nigroanalis, Chromis nitida, Chromis notata, Chromis opercularis, Chromis ovalis)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 249238 records from 487 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008186-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0160760.10fu
title: SH0160760.10FU

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/sh0160761.10fu
title: SH0160761.10FU

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/sh0160762.10fu
title: SH0160762.10FU

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/sh0160763.10fu
title: SH0160763.10FU

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/sh0160764.10fu
title: SH0160764.10FU

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: 10.34740/kaggle/dsv/14443202
title: Trending Youtube Video Statistics (113 Countries)
DOI: 10.15156/bio/sh0160765.10fu
title: SH0160765.10FU

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.