cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.nzuw4d
title: Occurrence Download

description: A dataset containing 8290734 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Streptopelia decaocto (Frivaldszky, 1838)"
 ]
}

 The dataset includes 8290734 records from 4245 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014984-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.83h5nn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((148.789466 -34.781221, 148.791712 -34.781221, 148.791712 -34.776729, 148.789466 -34.776729, 148.789466 -34.781221)), ((148.789466 -34.781221, 148.78722 -34.781221, 148.78722 -34.783467, 148.789466 -34.783467, 148.789466 -34.781221)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061292-240626123714530/datasets/export for details.
DOI: 10.34740/kaggle/dsv/9151476
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.15468/dl.t63mdv
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rhododendron bloembergenii Sleumer"
 ]
}

 The dataset includes 19 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061293-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2wm3ru
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.850103 -34.776729, 148.850103 -34.781221, 148.85684 -34.781221, 148.85684 -34.776729, 148.850103 -34.776729))"
 ]
}

 The dataset includes 19 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061294-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q46x25
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.887662 -34.774484, 149.887662 -34.776729, 149.88317 -34.776729, 149.88317 -34.781221, 149.887662 -34.781221, 149.887662 -34.778975, 149.892154 -34.778975, 149.892154 -34.774484, 149.887662 -34.774484))"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061295-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zzf42y
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.100006 -34.781221, 148.100006 -34.783467, 148.106743 -34.783467, 148.106743 -34.781221, 148.100006 -34.781221))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061296-240626123714530/datasets/export for details.
DOI: 10.15468/dl.5g66a4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.618785 -34.781221, 148.618785 -34.783467, 148.621031 -34.783467, 148.621031 -34.781221, 148.618785 -34.781221))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061297-240626123714530/datasets/export for details.
DOI: 10.15468/dl.b5kwq6
title: Occurrence Download

description: A dataset containing 5456 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Marine methane seep Targeted Locus (Loci)"
 ]
}

 The dataset includes 5456 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061298-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wmhawv
title: Occurrence Download

description: A dataset containing 5597 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ficedula semitorquata (Homeyer, 1885)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 5597 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061299-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rmwgk3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.661456 -34.781221, 148.661456 -34.783467, 148.665947 -34.783467, 148.665947 -34.781221, 148.661456 -34.781221))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061300-240626123714530/datasets/export for details.
DOI: 10.34740/kaggle/dsv/9151521
title: e-IPO Data - Investment
DOI: 10.15468/dl.5xsuhr
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((147.98547 -34.7655, 147.98547 -34.767746, 147.994453 -34.767746, 147.994453 -34.7655, 147.98547 -34.7655)), ((147.994453 -34.767746, 147.994453 -34.769992, 147.992208 -34.769992, 147.992208 -34.774484, 147.98547 -34.774484, 147.98547 -34.769992, 147.978733 -34.769992, 147.978733 -34.774484, 147.983224 -34.774484, 147.983224 -34.776729, 147.98547 -34.776729, 147.98547 -34.79245, 147.989962 -34.79245, 147.989962 -34.787958, 147.998945 -34.787958, 147.998945 -34.776729, 148.001191 -34.776729, 148.001191 -34.781221, 148.005682 -34.781221, 148.005682 -34.774484, 148.001191 -34.774484, 148.001191 -34.769992, 147.998945 -34.769992, 147.998945 -34.767746, 147.994453 -34.767746)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061301-240626123714530/datasets/export for details.
DOI: 10.5281/zenodo.13294002
title: MathChat: Benchmarking Mathematical Reasoning and Instruction Following in Multi-Turn Interactions

description: 1. follow_up.jsonl


This file contains entries that facilitate follow-up questioning. Each line consists of three keys:



question: Sourced from the GSM8k testing set.

answer: Corresponding answer from the GSM8k testing set.

followup: Includes two rounds of follow-up questions and reference answers, formatted as a conversation between a user (A:) and an assistant (B:).




2. error_correction.jsonl


This file is designed for error correction tasks. Each line consists of three keys:



question: Sourced from the GSM8k testing set.

answer: Corresponding answer from the GSM8k testing set.

error_correction: Contains a conversation between a user (A:) and an assistant (B:), which includes the original question, an incorrect answer, and the process of correcting the error.




3. error_analysis.jsonl


This file also focuses on error correction but employs a different prompt strategy. Each line consists of three keys:



question: Sourced from the GSM8k testing set.

answer: Corresponding answer from the GSM8k testing set.

error_analysis: Includes a conversation between a user (A:) and an assistant (B:), where the model is prompted to independently determine the correctness of the answer without being explicitly told.




4. p2p_generation.jsonl


This file contains entries for problem generation tasks. Each line consists of three keys:



question: Sourced from the GSM8k testing set.

answer: Corresponding answer from the GSM8k testing set.

new_problem: A new problem generated by GPT-4 to serve as a reference answer.
DOI: 10.5281/zenodo.13294003
title: MathChat: Benchmarking Mathematical Reasoning and Instruction Following in Multi-Turn Interactions

description: 1. follow_up.jsonl


This file contains entries that facilitate follow-up questioning. Each line consists of three keys:



question: Sourced from the GSM8k testing set.

answer: Corresponding answer from the GSM8k testing set.

followup: Includes two rounds of follow-up questions and reference answers, formatted as a conversation between a user (A:) and an assistant (B:).




2. error_correction.jsonl


This file is designed for error correction tasks. Each line consists of three keys:



question: Sourced from the GSM8k testing set.

answer: Corresponding answer from the GSM8k testing set.

error_correction: Contains a conversation between a user (A:) and an assistant (B:), which includes the original question, an incorrect answer, and the process of correcting the error.




3. error_analysis.jsonl


This file also focuses on error correction but employs a different prompt strategy. Each line consists of three keys:



question: Sourced from the GSM8k testing set.

answer: Corresponding answer from the GSM8k testing set.

error_analysis: Includes a conversation between a user (A:) and an assistant (B:), where the model is prompted to independently determine the correctness of the answer without being explicitly told.




4. p2p_generation.jsonl


This file contains entries for problem generation tasks. Each line consists of three keys:



question: Sourced from the GSM8k testing set.

answer: Corresponding answer from the GSM8k testing set.

new_problem: A new problem generated by GPT-4 to serve as a reference answer.
DOI: 10.15468/dl.cn46pw
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((148.665947 -34.774484, 148.665947 -34.776729, 148.668193 -34.776729, 148.668193 -34.790204, 148.67493 -34.790204, 148.67493 -34.79245, 148.681668 -34.79245, 148.681668 -34.787958, 148.683914 -34.787958, 148.683914 -34.783467, 148.681668 -34.783467, 148.681668 -34.781221, 148.679422 -34.781221, 148.679422 -34.785713, 148.67493 -34.785713, 148.67493 -34.787958, 148.672685 -34.787958, 148.672685 -34.774484, 148.665947 -34.774484)), ((148.67493 -34.79245, 148.672685 -34.79245, 148.672685 -34.794696, 148.67493 -34.794696, 148.67493 -34.79245)), ((148.681668 -34.79245, 148.681668 -34.799187, 148.683914 -34.799187, 148.683914 -34.79245, 148.681668 -34.79245)), ((148.683914 -34.79245, 148.688405 -34.79245, 148.688405 -34.790204, 148.683914 -34.790204, 148.683914 -34.79245)))"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061302-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vayycb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.573869 -34.776729, 148.573869 -34.787958, 148.576115 -34.787958, 148.576115 -34.781221, 148.580607 -34.781221, 148.580607 -34.776729, 148.573869 -34.776729))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061304-240626123714530/datasets/export for details.
DOI: 10.15468/dl.55qjaj
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((148.904002 -34.796942, 148.906248 -34.796942, 148.906248 -34.787958, 148.904002 -34.787958, 148.904002 -34.796942)), ((148.904002 -34.796942, 148.901756 -34.796942, 148.901756 -34.799187, 148.904002 -34.799187, 148.904002 -34.796942)), ((148.906248 -34.787958, 148.912985 -34.787958, 148.912985 -34.783467, 148.910739 -34.783467, 148.910739 -34.776729, 148.906248 -34.776729, 148.906248 -34.787958)))"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061305-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4urywe
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rhododendron boninense Nakai"
 ]
}

 The dataset includes 22 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061307-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wrfexe
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Equatorial Guinea",
 "DatasetKey is Herbarium Hamburgense",
 "OccurrenceStatus is Present",
 "TaxonKey is Anisophyllea R.Br. ex Sabine"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061306-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h4gxx9
title: Occurrence Download

description: A dataset containing 214 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((150.013427 -34.776729, 150.013427 -34.783467, 150.015672 -34.783467, 150.015672 -34.776729, 150.013427 -34.776729)), ((150.015672 -34.783467, 150.015672 -34.787958, 150.02241 -34.787958, 150.02241 -34.783467, 150.015672 -34.783467)), ((150.02241 -34.783467, 150.024656 -34.783467, 150.024656 -34.781221, 150.02241 -34.781221, 150.02241 -34.783467)), ((150.02241 -34.781221, 150.02241 -34.776729, 150.017918 -34.776729, 150.017918 -34.781221, 150.02241 -34.781221)))"
 ]
}

 The dataset includes 214 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061308-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.smyjc8
title: Occurrence Download

description: A dataset containing 9882732 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ardea alba Linnaeus, 1758",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 9882732 records from 2349 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061303-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0180067.10fu
title: SH0180067.10FU

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/sh0180068.10fu
title: SH0180068.10FU

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/sh0180069.10fu
title: SH0180069.10FU

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/sh0180070.10fu
title: SH0180070.10FU

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/sh0180071.10fu
title: SH0180071.10FU

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/sh0180072.10fu
title: SH0180072.10FU

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/sh0180073.10fu
title: SH0180073.10FU

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/sh0180074.10fu
title: SH0180074.10FU

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.