cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1169343.10fu
title: SH1169343.10FU

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/sh1169346.10fu
title: SH1169346.10FU

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/sh1169353.10fu
title: SH1169353.10FU

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/sh1169358.10fu
title: SH1169358.10FU

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/sh1169360.10fu
title: SH1169360.10FU

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/sh1169364.10fu
title: SH1169364.10FU

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/sh1169369.10fu
title: SH1169369.10FU

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/sh1169370.10fu
title: SH1169370.10FU

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/sh1169372.10fu
title: SH1169372.10FU

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/13535096
title: Vietnam SARS-CoV-2 | COVID-19 Data
DOI: 10.15468/dl.das2uw
title: Occurrence Download

description: A dataset containing 440 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ixodes pacificus Cooley & Kohls, 1943"
 ]
}

 The dataset includes 440 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0196888-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vqcxht
title: Occurrence Download

description: A dataset containing 124439 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Colombia",
 "OccurrenceStatus is Present",
 {
 "or" : [
 "TaxonKey is Actinopterygii",
 "TaxonKey is Sarcopterygii",
 "TaxonKey is Elasmobranchii"
 ]
 }
 ]
}

 The dataset includes 124439 records from 185 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0266856-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dyanrz
title: Occurrence Download

description: A dataset containing 329917 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Insect Species Occurrence Data from Multiple Projects Worldwide with Focus on Bees and Wasps in North America"
 ]
}

 The dataset includes 329917 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016013-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rkeh83
title: Occurrence Download

description: A dataset containing 1280 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pinguicula L.",
 "BasisOfRecord is one of (Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Continent is North America"
 ]
}

 The dataset includes 1280 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0171646-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ucwca7
title: Occurrence Download

description: A dataset containing 409 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-100.39248 25.86442,-102.87058 23.90499,-104.77239 23.22783,-104.5995 22.08963,-103.49011 20.3175,-98.64916 18.68944,-98.40423 24.43807,-100.39248 25.86442))",
 "TaxonKey is Pachyphytum Link, Klotzsch & Otto"
 ]
}

 The dataset includes 409 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049880-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.syf93n
title: Occurrence Download

description: A dataset containing 2769 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Synthliboramphus hypoleucus (Xantus de Vesey, 1860)"
 ]
}

 The dataset includes 2769 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059539-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x56f9g
title: Occurrence Download

description: A dataset containing 484 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Astatoreochromis alluaudi Pellegrin, 1904)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 484 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049878-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zkw3yb
title: Occurrence Download

description: A dataset containing 263 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Year is greater than or equal to 1970",
 "TaxonKey is Diaphorina citri Kuwayama, 1908",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 263 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0256732-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u1wo82
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Doliornis remseni Robbins, G.H.Rosenberg & F.S.Molina, 1994"
 ]
}

 The dataset includes 40 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016014-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sw8vcx
title: Occurrence Download

description: A dataset containing 422 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-103.61487 18.23863,-95.2769 18.23863,-95.2769 24.99288,-103.61487 24.99288,-103.61487 18.23863))",
 "HasGeospatialIssue is false",
 "TaxonKey is Limosa fedoa (Linnaeus, 1758)"
 ]
}

 The dataset includes 422 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049879-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zvnpat
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ophryoessa superciliosa Duméril & Bibron, 1837"
 ]
}

 The dataset includes 18 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011160-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vuyvn7
title: Occurrence Download

description: A dataset containing 648 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Otocolobus manul (Pallas, 1776)"
 ]
}

 The dataset includes 648 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001146-240130105604617/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s6du42
title: Occurrence Download

description: A dataset containing 621 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2024",
 "Geometry POLYGON ((-130.7383528944533 -59.46314024951374, -130.7383528944533 32.71876227804215, -26.26729810228821 32.71876227804215, -26.26729810228821 -59.46314024951374, -130.7383528944533 -59.46314024951374))",
 "OccurrenceStatus is Present",
 "TaxonKey is Asthenes perijana (Phelps & WH Jr, 1977)"
 ]
}

 The dataset includes 621 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049881-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9t02bx
title: Occurrence Download

description: A dataset containing 288 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Year 1950-2018",
 "Geometry POLYGON((33.74121 60.89941,29.52246 70.74316,-9.3955 71.37598,-25.04004 68.95019,-24.16113 53.72754,-15.09082 43.53222,-13.29785 38.92676,-7.70801 35.93848,11.90918 37.30957,20.41699 36.43066,25.30371 37.55567,35.39356 36.99316,35.00684 57.77051,33.74121 60.89941))",
 "TaxonKey is Bazzania pearsonii Steph."
 ]
}

 The dataset includes 288 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016014-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.78qpns
title: Occurrence Download

description: A dataset containing 131 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Brycon nattereri Günther, 1864"
 ]
}

 The dataset includes 131 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0264413-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kuh5as
title: Occurrence Download

description: A dataset containing 11142 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chenopodium suecicum Murr"
 ]
}

 The dataset includes 11142 records from 103 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0227416-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10819235
title: Data from: ChatGPT performance on radiation technologist and therapist entry to practice exams

description: This dataset contains the data needed to reproduce all results and figures described in "ChatGPT performance on radiation technologist and therapist entry to practice exams".

Details about the data collection can be found in the paper referenced below. Briefly, ChatGPT (GPT-4) was prompted with multiple choice questions from 4 practice exams provided by the Canadian Association of Medical Radiation Technologists (CAMRT). ChatGPT was promted with the questions from each exam 5 times between July 17 and August 13, 2023. Table 1, below, provides details about the dates for data collection.

Variable descriptions



question: Question number, provided by CAMRT. Skipped question numbers indicate image-based questions that were excluded from the study.

discipline: Indicates the CAMRT exam discipline, abbreviated as follows 



RAD: radiological technology

MRI: magnetic resonance

NUC: nuclear medicine

RTT: radiation therapy



question_type: Indicates the type of competency being assessed by the question (Knowledge, Application, or Critical thinking). Competency categories were assigned by CAMRT.

corrrect_response: The correct multiple choice response ("A", "B", "C", or "D"), assigned by CAMRT.

attempt1-5: ChatGPT's response to the multiple choice questions for attempts 1 through 5, indicated using the letters "A", "B", "C", or "D". In a few cases, ChatGPT did not provide a reference to a multiple choice response and "NA" is recorded in the dataset. 


Note: The long-form questions from CAMRT and answers provided by ChatGPT are not available as a part of this dataset.

Table 1: Dates for data collection




 
Attempt 1
Attempt 2
Attempt 3
Attempt 4
Attempt 5


Radiological technology
2 Aug 2023
2 Aug 2023
8 Aug 2023
9 Aug 2023
11 Aug 2023


Magnetic resonance 
17 Jul 2023
18 Jul 2023
18 Jul 2023
9 Aug 2023
12 Aug 2023


Nuclear medicine
8 Aug 2023
9 Aug 2023
12 Aug 2023
12 Aug 2023
12 Aug 2023


Radiation therapy
9 Aug 2023
12 Aug 2023
12 Aug 2023
13 Aug 2023
13 Aug 2023
DOI: 10.5281/zenodo.10819236
title: Data from: ChatGPT performance on radiation technologist and therapist entry to practice exams

description: This dataset contains the data needed to reproduce all results and figures described in "ChatGPT performance on radiation technologist and therapist entry to practice exams".

Details about the data collection can be found in the paper referenced below. Briefly, ChatGPT (GPT-4) was prompted with multiple choice questions from 4 practice exams provided by the Canadian Association of Medical Radiation Technologists (CAMRT). ChatGPT was promted with the questions from each exam 5 times between July 17 and August 13, 2023. Table 1, below, provides details about the dates for data collection.

Variable descriptions



question: Question number, provided by CAMRT. Skipped question numbers indicate image-based questions that were excluded from the study.

discipline: Indicates the CAMRT exam discipline, abbreviated as follows 



RAD: radiological technology

MRI: magnetic resonance

NUC: nuclear medicine

RTT: radiation therapy



question_type: Indicates the type of competency being assessed by the question (Knowledge, Application, or Critical thinking). Competency categories were assigned by CAMRT.

corrrect_response: The correct multiple choice response ("A", "B", "C", or "D"), assigned by CAMRT.

attempt1-5: ChatGPT's response to the multiple choice questions for attempts 1 through 5, indicated using the letters "A", "B", "C", or "D". In a few cases, ChatGPT did not provide a reference to a multiple choice response and "NA" is recorded in the dataset. 


Note: The long-form questions from CAMRT and answers provided by ChatGPT are not available as a part of this dataset.

Table 1: Dates for data collection




 
Attempt 1
Attempt 2
Attempt 3
Attempt 4
Attempt 5


Radiological technology
2 Aug 2023
2 Aug 2023
8 Aug 2023
9 Aug 2023
11 Aug 2023


Magnetic resonance 
17 Jul 2023
18 Jul 2023
18 Jul 2023
9 Aug 2023
12 Aug 2023


Nuclear medicine
8 Aug 2023
9 Aug 2023
12 Aug 2023
12 Aug 2023
12 Aug 2023


Radiation therapy
9 Aug 2023
12 Aug 2023
12 Aug 2023
13 Aug 2023
13 Aug 2023
DOI: 10.6084/m9.figshare.24514459
title: Site-specfic optimal air temperature for vegetation photosynthesis across the globe

description: Please download the README file to refer to the details of the dataset