cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24448888.v1
title: HaPy-Bug - Bug localization learning to rank algorithm results

description: # Replication Package for L2R Models Evaluation<br>This repository contains all necessary resources to replicate the experiments described in our evaluation of Learning-to-Rank (L2R) models applied to grayscale-based code change analysis.<br>## OverviewWe evaluate three L2R models for ranking modified lines of code based on their relevance:**Model 1**: Baseline L2R model.**Model 2**: Uses expert-annotated data.**Model 3**: Fully automated grayscale-based annotation model.<br>Model 3 automatically assigns labels to modified code lines based on grayscale heuristics, and its ranking results are generated similarly to Model 2.<br>### Results Summary<br>| Model | MAP | MRR | ACC@1 || Model 1 | 0.408 | 0.659 | 0.521 || Model 2 | 0.429 | 0.705 | 0.608 || Model 3 | 0.427 | 0.704 | 0.608 |<br>These results suggest that the automatic grayscale-based Model 3 achieves comparable performance to expert-labeled Model 2, at a much lower cost.<br><br>## How to Replicate<br>All files required to replicate the experiments (datasets, configuration, and scripts) are available at:<br>👉 https://doi.org/10.6084/m9.figshare.24448888
DOI: 10.15156/bio/sh1382210.10fu
title: SH1382210.10FU

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/sh1382213.10fu
title: SH1382213.10FU

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/sh1382214.10fu
title: SH1382214.10FU

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/sh1382217.10fu
title: SH1382217.10FU

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/sh1382227.10fu
title: SH1382227.10FU

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/sh1382229.10fu
title: SH1382229.10FU

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/sh1382232.10fu
title: SH1382232.10FU

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: 10.5519/qd.5th2smzl
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (107 records)
DOI: 10.15156/bio/sh1382237.10fu
title: SH1382237.10FU

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/sh1382242.10fu
title: SH1382242.10FU

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/sh1382245.10fu
title: SH1382245.10FU

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.rb6wzw
title: Occurrence Download

description: A dataset containing 8532 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "StateProvince is Antioquia",
 "TaxonKey is Chiroptera"
 ]
}

 The dataset includes 8532 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002243-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5tfk9m
title: Occurrence Download

description: A dataset containing 84 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Benin",
 "OccurrenceStatus is Present",
 "TaxonKey is Garcinia kola Heckel"
 ]
}

 The dataset includes 84 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002251-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8jrmr4
title: Occurrence Download

description: A dataset containing 3634 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is Dominican Republic",
 "Issue is one of (Geodetic datum assumed WGS84, Coordinate rounded, Collection match fuzzy, Institution match fuzzy, Occurrence status inferred from individual count, Continent derived from coordinates, The taxon concept ID was not used in backbone matching)",
 "IucnRedListCategory is one of (LC, NE)",
 "Month is one of (December, November, October, September, August, July, June, May, April, February, March, January)",
 "TaxonKey is Riccordia swainsonii (R.Lesson, 1829)",
 "Year 1000-2025"
 ]
}

 The dataset includes 3634 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002245-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wt5q26
title: Occurrence Download

description: A dataset containing 7234 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (Algunas especies de anfibios y reptiles contenidos en el Proyecto de Norma Oficial Mexicana PROY-NOM-059-ECOL-2000, Computarización de las colecciones de vertebrados terrestres de la Escuela Nacional de Ciencias Biológicas, IPN Fase 4 (Anfibios y reptiles), iNaturalist Research-grade Observations, Anfibiofauna endémica frente al cambio climático: análisis de sensibilidad e incertidumbre, Formación de una base de datos y elaboración de un atlas de la herpetofauna de México (Anfibiosreptiles), MVZ Herp Collection (Arctos), Sistemática e historia natural de algunos anfibios y reptiles de México, Digitalización y Sistematización de las Colecciones Biológicas Nacionales del Instituto de Biología, UNAM (vertebrados), CAS Herpetology (HERP), Museum of Comparative Zoology, Harvard University)",
 "Geometry POLYGON((-99.51481 19.05576,-98.6319 19.05576,-98.6319 19.72664,-99.51481 19.72664,-99.51481 19.05576))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Amphibia"
 ]
}

 The dataset includes 7234 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002252-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ep4r8q
title: Occurrence Download

description: A dataset containing 2408 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sceloporus nelsoni Cochran, 1923"
 ]
}

 The dataset includes 2408 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002253-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mbknpf
title: Occurrence Download

description: A dataset containing 1968 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sceloporus mucronatus Cope, 1885"
 ]
}

 The dataset includes 1968 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002254-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/11962475
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.7n5hqj
title: Occurrence Download

description: A dataset containing 1370 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sceloporus minor Cope, 1885"
 ]
}

 The dataset includes 1370 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002255-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c6k7y5
title: Occurrence Download

description: A dataset containing 26497 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lepidochelys olivacea (Eschscholtz, 1829)"
 ]
}

 The dataset includes 26497 records from 230 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002256-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5rj7wm
title: Occurrence Download

description: A dataset containing 3634 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is Dominican Republic",
 "Issue is one of (Geodetic datum assumed WGS84, Coordinate rounded, Collection match fuzzy, Institution match fuzzy, Occurrence status inferred from individual count, Continent derived from coordinates, The taxon concept ID was not used in backbone matching)",
 "IucnRedListCategory is one of (LC, NE)",
 "Month is one of (December, November, October, September, August, July, June, May, April, February, March, January)",
 "TaxonKey is Riccordia swainsonii (R.Lesson, 1829)",
 "Year 1000-2025"
 ]
}

 The dataset includes 3634 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002246-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ymfbvt
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-78.60938 1.59286,-78.81943 2.07448,-78.89356 1.60521,-78.00396 0.99994,-77.48502 0.81463,-77.25026 0.54282,-76.70662 0.45634,-76.89195 1.64226,-77.7692 1.56815,-77.83098 1.80281,-78.46112 2.29672,-78.49818 1.86456,-78.60938 1.59286))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Guzmania testudinis L.B.Sm. & Read"
 ]
}

 The dataset includes 16 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002258-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2dngdy
title: CCDC 2224200: Experimental Crystal Structure Determination

description: Related Article: Alexey S. Berezin, Aleksandr S. Sukhikh, Alexander N. Lavrov, Andrey Yu. Komarovskikh|2025|Inorg.Chem.Commun.|179|114668|doi:10.1016/j.inoche.2025.114668
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.dn3esm
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "PublishingOrg is 9fff025a-f223-4b26-8ee1-2266b219934f",
 "TaxonKey is Bothrocophias campbelli (Freire-Lascano, 1991)"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002259-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2j7pp5
title: CCDC 2331097: Experimental Crystal Structure Determination

description: Related Article: Thanh Van Tran, Jérôme Marrot, Suzuka Yamamoto, Kosuke Yoshimura, Isabelle Gillaizeau, Cyril Nicolas, Jérôme Désiré, Atsushi Kato, Nicolas Auberger, Yves Blériot|2025|Org.Lett.|27|5068|doi:10.1021/acs.orglett.5c01061
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2j7pq6
title: CCDC 2331098: Experimental Crystal Structure Determination

description: Related Article: Thanh Van Tran, Jérôme Marrot, Suzuka Yamamoto, Kosuke Yoshimura, Isabelle Gillaizeau, Cyril Nicolas, Jérôme Désiré, Atsushi Kato, Nicolas Auberger, Yves Blériot|2025|Org.Lett.|27|5068|doi:10.1021/acs.orglett.5c01061
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2k7rxh
title: CCDC 2360957: Experimental Crystal Structure Determination

description: Related Article: Jun Wang, Wenjing Shi, Ying Xiong, Jinsheng Zhang|2025|Spectrochim.Acta,Part A|340|126383|doi:10.1016/j.saa.2025.126383
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.