cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.a7e5sn
title: Occurrence Download

description: A dataset containing 366 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dentex tumifrons (Temminck & Schlegel, 1843)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 366 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011169-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13145/bacdive1332.20241212.9.2
title: Halobacillus halophilus (Claus et al. 1984) Spring et al. 1996

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive1332.20251217.10
title: Halobacillus halophilus (Claus et al. 1984) Spring et al. 1996

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0069696.10fu
title: SH0069696.10FU

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: 10.13145/bacdive1333.20241212.9.2
title: Halobacillus halophilus (Claus et al. 1984) Spring et al. 1996

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0069697.10fu
title: SH0069697.10FU

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: 10.13145/bacdive1333.20251217.10
title: Halobacillus halophilus (Claus et al. 1984) Spring et al. 1996

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive1334.20241212.9.2
title: Halobacillus halophilus (Claus et al. 1984) Spring et al. 1996

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0069698.10fu
title: SH0069698.10FU

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: 10.13145/bacdive1334.20251217.10
title: Halobacillus halophilus (Claus et al. 1984) Spring et al. 1996

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive1335.20241212.9.2
title: Halobacillus halophilus (Claus et al. 1984) Spring et al. 1996

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive1335.20251217.10
title: Halobacillus halophilus (Claus et al. 1984) Spring et al. 1996

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive1336.20241212.9.2
title: Halobacillus sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0069699.10fu
title: SH0069699.10FU

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: 10.13145/bacdive1336.20251217.10
title: Halobacillus sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0069700.10fu
title: SH0069700.10FU

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: 10.13145/bacdive1337.20241212.9.2
title: Halobacillus halophilus (Claus et al. 1984) Spring et al. 1996

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive1337.20251217.10
title: Halobacillus halophilus (Claus et al. 1984) Spring et al. 1996

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0069701.10fu
title: SH0069701.10FU

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.r2wtnr
title: Occurrence Download

description: A dataset containing 7377606 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 2000-2026"
 ]
}

 The dataset includes 7377606 records from 3499 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076186-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u8rk23
title: Occurrence Download

description: A dataset containing 5614572 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is The vascular plants collection (P) at the Herbarium of the Muséum national d'Histoire Naturelle (MNHN - Paris)"
 ]
}

 The dataset includes 5614572 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058655-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wwdzfp
title: Occurrence Download

description: A dataset listing the 562 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Tree survey in the tropical forest of Pasoh Forest Reserve, Malaysia from 2016 to 2018"
 ]
}

 The dataset's 562 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008596-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kcw5ca
title: Occurrence Download

description: A dataset containing 147825 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Populus alba L.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 147825 records from 1397 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008682-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4yppvv
title: Occurrence Download

description: A dataset containing 3932 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ilex cornuta Lindl. & Paxton)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 3932 records from 94 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008688-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t4wm6q
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Gallicolumba stairi (G.R.Gray, 1856)"
 ]
}

 The dataset includes 14 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008598-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14992405
title: 4chan Politically Incorrect Corpus

description: The present published data are the groundwork for the dissertation Hate Speech in the Digital World: A Linguistic Analysis of the Politically Incorrect 4chan Corpus and consists of seven files that include raw data, processed datasets, Python scripts, and linguistic analysis outputs. The dataset aims to facilitate further research on hate speech, computational linguistics, and online discourse analysis. "Chan_data" is a Jupyter Notebook (.ipynb format) that contains Python code used to extract data from the Politically Incorrect board on 4chan. It generates two datasets: 4chan-PIC, which is the full dataset of extracted posts, and 4chan-HM, a filtered dataset containing only posts with explicit hateful language. The script was developed using Anaconda Navigator and Jupyter Notebook. "chan_comment_final" is an Excel file containing three sheets. The first sheet, 4chan-PIC, includes the complete dataset of extracted posts. The second sheet, 4chan-HM, contains the filtered dataset with only posts that include explicit hateful language. The third sheet, Explicit 4chan-HM Hate List, consists of explicit hate speech words used to filter the 4chan-PIC dataset into 4chan-HM. "Cleaningandseparating" is another Jupyter Notebook that was used to convert the scraped dataset into a textual corpus (.txt format) for the linguistic analysis. "cleaned_text" is a plain text file that contains the finalised textual corpus used to compile the 4chan Politically Incorrect Corpus on Sketch Engine. "4chan-PIC Concordancing" is an Excel file containing concordancing data from Sketch Engine, which presents words in context and was used for linguistic analysis. "4chan-PIC Wordlists" is another Excel file that includes wordlist data from Sketch Engine, providing word and lemma frequency statistics to support quantitative analysis. "4chan-PIC Keyword analysis" is an Excel file that contains keyword analysis data from Sketch Engine, identifying statistically significant keywords in the 4chan Politically Incorrect Corpus compared to a reference corpus, English Web 21. These files support research in hate speech detection and analysis, computational linguistics, corpus-based studies, and online discourse analysis on social media. They also contribute to data-driven studies of extremist language trends. The datasets and scripts are provided for academic research and reproducibility purposes.
DOI: 10.5281/zenodo.14992404
title: 4chan Politically Incorrect Corpus

description: The present published data are the groundwork for the dissertation Hate Speech in the Digital World: A Linguistic Analysis of the Politically Incorrect 4chan Corpus and consists of seven files that include raw data, processed datasets, Python scripts, and linguistic analysis outputs. The dataset aims to facilitate further research on hate speech, computational linguistics, and online discourse analysis. "Chan_data" is a Jupyter Notebook (.ipynb format) that contains Python code used to extract data from the Politically Incorrect board on 4chan. It generates two datasets: 4chan-PIC, which is the full dataset of extracted posts, and 4chan-HM, a filtered dataset containing only posts with explicit hateful language. The script was developed using Anaconda Navigator and Jupyter Notebook. "chan_comment_final" is an Excel file containing three sheets. The first sheet, 4chan-PIC, includes the complete dataset of extracted posts. The second sheet, 4chan-HM, contains the filtered dataset with only posts that include explicit hateful language. The third sheet, Explicit 4chan-HM Hate List, consists of explicit hate speech words used to filter the 4chan-PIC dataset into 4chan-HM. "Cleaningandseparating" is another Jupyter Notebook that was used to convert the scraped dataset into a textual corpus (.txt format) for the linguistic analysis. "cleaned_text" is a plain text file that contains the finalised textual corpus used to compile the 4chan Politically Incorrect Corpus on Sketch Engine. "4chan-PIC Concordancing" is an Excel file containing concordancing data from Sketch Engine, which presents words in context and was used for linguistic analysis. "4chan-PIC Wordlists" is another Excel file that includes wordlist data from Sketch Engine, providing word and lemma frequency statistics to support quantitative analysis. "4chan-PIC Keyword analysis" is an Excel file that contains keyword analysis data from Sketch Engine, identifying statistically significant keywords in the 4chan Politically Incorrect Corpus compared to a reference corpus, English Web 21. These files support research in hate speech detection and analysis, computational linguistics, corpus-based studies, and online discourse analysis on social media. They also contribute to data-driven studies of extremist language trends. The datasets and scripts are provided for academic research and reproducibility purposes.
DOI: 10.15468/dl.rpnwfs
title: Occurrence Download

description: A dataset containing 6068 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ilex crenata Thunb.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 6068 records from 158 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008602-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ze5z2n
title: Occurrence Download

description: A dataset containing 18394 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "Geometry POLYGON((-113.66678 19.02295,-90.38032 19.02295,-90.38032 28.33355,-113.66678 28.33355,-113.66678 19.02295))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Recurvirostra americana J.F.Gmelin, 1789"
 ]
}

 The dataset includes 18394 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011440-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111153626
title: Record (land given to an individual), KTU 4.136

description: [Text or Publication Number Note:] KTU 4.136, KTU2 4.136, KTU3 4.136, CTU 4.136, CAT 4.136 ❧ [Excavation Description:] Found during excavations at Ras Shamra. ❧ [Medium:] Clay ❧ [Script Note:] Alphabetic Cuneiform ❧
DOI: 10.15468/dl.mdjf87
title: Occurrence Download

description: A dataset containing 304 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "TaxonKey is Theobroma cacao L."
 ]
}

 The dataset includes 304 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103855-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111154569
title: Record (quantities of copper), KTU 4.181

description: [Text or Publication Number Note:] KTU 4.181, KTU2 4.181, KTU3 4.181, CTU 4.181, CAT 4.181 ❧ [Excavation Description:] Found during excavations at Ras Shamra. ❧ [Medium:] Clay ❧ [Script Note:] Alphabetic Cuneiform ❧
DOI: 10.25549/inscriptifact-ouc111154531
title: Record (quantities of copper), KTU 4.181

description: [Text or Publication Number Note:] KTU 4.181, KTU2 4.181, KTU3 4.181, CTU 4.181, CAT 4.181 ❧ [Excavation Description:] Found during excavations at Ras Shamra. ❧ [Medium:] Clay ❧ [Script Note:] Alphabetic Cuneiform ❧
DOI: 10.15468/dl.ucmk2h
title: Occurrence Download

description: A dataset containing 252727 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alisma plantago-aquatica L.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 252727 records from 890 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026359-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111154477
title: Record (garments, textiles, dyes for statues of gods), KTU 4.182

description: [Text or Publication Number Note:] KTU 4.182, KTU2 4.182, KTU3 4.182, CTU 4.182, CAT 4.182 ❧ [Excavation Description:] Found during excavations at Ras Shamra. ❧ [Medium:] Clay ❧ [Script Note:] Alphabetic Cuneiform ❧
DOI: 10.15468/dl.evsx7m
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cerberus rynchops (Schneider, 1799)"
 ]
}

 The dataset includes 33 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0138922-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111154973
title: Record (monthly deliveries of wine), KTU 4.220

description: [Text or Publication Number Note:] KTU 4.220, KTU2 4.220, KTU3 4.220, CTU 4.220, CAT 4.220 ❧ [Excavation Description:] Found during excavations at Ras Shamra. ❧ [Medium:] Clay ❧ [Script Note:] Alphabetic Cuneiform ❧