cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0828845.10fu
title: SH0828845.10FU

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/sh0828846.10fu
title: SH0828846.10FU

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/sh0828847.10fu
title: SH0828847.10FU

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/sh0828848.10fu
title: SH0828848.10FU

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/sh0828849.10fu
title: SH0828849.10FU

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/sh0828850.10fu
title: SH0828850.10FU

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/sh0828851.10fu
title: SH0828851.10FU

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/sh0828852.10fu
title: SH0828852.10FU

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/sh0828853.10fu
title: SH0828853.10FU

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: 10.26188/21937259
title: Sound Workflow Systems Used in PQL Evaluations

description: A collection of 1,493 real-world and synthetic sound workflow systems captured in PNML.
DOI: 10.26188/21937259.v1
title: Sound Workflow Systems Used in PQL Evaluations

description: A collection of 1,493 real-world and synthetic sound workflow systems captured in PNML.
DOI: 10.5281/zenodo.7557351
title: STROBE checklist for Association between Serum Insulin and Interleukin-6 levels with Breast Cancer in Post-Menopausal Iraqi Women

description: STROBE checklist for Association between Serum Insulin and Interleukin-6 levels with Breast Cancer in Post-Menopausal Iraqi Women
DOI: 10.5281/zenodo.7557350
title: STROBE checklist for Association between Serum Insulin and Interleukin-6 levels with Breast Cancer in Post-Menopausal Iraqi Women

description: STROBE checklist for Association between Serum Insulin and Interleukin-6 levels with Breast Cancer in Post-Menopausal Iraqi Women
DOI: 10.5281/zenodo.7557356
title: clarias_gariepinus_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.7557355
title: clarias_gariepinus_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.21227/2s8h-0h03
title: tesr123

description: asdsafasfdsadasdsadas
DOI: 10.5281/zenodo.7557366
title: clarias_buthupogon_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.7557365
title: clarias_buthupogon_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.7557347
title: Improving Automatic Melanoma Diagnosis using Deep Learn-ing-based Segmentation of Irregular Networks

description: Irregular masks dataset created on a subset of the ISIC19 training dataset. All annotations are for melanoma lesions. The filename indicates the ISIC19 image id along with suffix indicating annotator and/or verifier. This dataset was used in the publication "Improving Automatic Melanoma Diagnosis using Deep Learn-ing-based Segmentation of Irregular Networks" to be submitted to the Cancers Journal. Please cite the corresponding article (to be published) if data is used in your work. The references for the ISIC19 dataset that this is built on is given below. BCN_20000 Dataset: (c) Department of Dermatology, Hospital Clínic de Barcelona HAM10000 Dataset: (c) by ViDIR Group, Department of Dermatology, Medical University of Vienna; https://doi.org/10.1038/sdata.2018.161 MSK Dataset: (c) Anonymous; https://arxiv.org/abs/1710.05006; https://arxiv.org/abs/1902.03368
DOI: 10.5281/zenodo.7557346
title: Improving Automatic Melanoma Diagnosis using Deep Learn-ing-based Segmentation of Irregular Networks

description: Irregular masks dataset created on a subset of the ISIC19 training dataset. All annotations are for melanoma lesions. The filename indicates the ISIC19 image id along with suffix indicating annotator and/or verifier. This dataset was used in the publication "Improving Automatic Melanoma Diagnosis using Deep Learn-ing-based Segmentation of Irregular Networks" to be submitted to the Cancers Journal. Please cite the corresponding article (to be published) if data is used in your work. The references for the ISIC19 dataset that this is built on is given below. BCN_20000 Dataset: (c) Department of Dermatology, Hospital Clínic de Barcelona HAM10000 Dataset: (c) by ViDIR Group, Department of Dermatology, Medical University of Vienna; https://doi.org/10.1038/sdata.2018.161 MSK Dataset: (c) Anonymous; https://arxiv.org/abs/1710.05006; https://arxiv.org/abs/1902.03368
DOI: 10.5281/zenodo.7557371
title: clarias_pachynema_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.7557370
title: clarias_pachynema_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.34740/kaggle/dsv/4881865
title: PostPartum Depression
DOI: 10.5281/zenodo.7557377
title: parauchenoglanis_pantherinus_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.7557378
title: parauchenoglanis_pantherinus_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.3368890
title: Castillo de Alcalá de Xivert, Castellón, España, Europa │ Proyecto geomático 2D, 3D

description: Proyecto geomático realizado por <strong>AD&D 4D </strong>para la Diputación de Castellón. <br> Sistema de referencia geodésico:<strong> ETRS-89.</strong> Proyección <strong>UTM-31</strong>. Altitudes<br> Ortométricas referidas al nivel medio del mar de Alicante. Modelo de Geoide<br> <strong>EGM08</strong> con sobrecorreción de nivelación. Panorámica 360º 26.667 x 3066 pix (2019-07-10CastAlcalaXivertPano04) Nube de puntos densa (Cloud Point) GeoRef 153Millones de puntos (2019-07-02CastilloAlcaláDeXivertNPD153MCv) Nube de puntos densa (Cloud Point) GeoRef 47 Millones de puntos (2019-07-02CastilloAlcaláDeXivertNPD47MCv) OrtofotoMapa GeoTiff 1 cm / Pix (2019-07-02CastilloAlcaláDeXivertOrto1cmCv) DEM (Modelo Digital Elevación) 1 cm. / Pix (2019-07-02CastilloAlcaláDeXivertDEM1cmCv) El presente proyecto se encuentra en fase de investigación, los archivos están encriptados. Si desea obtener la clave, por favor póngase en contacto con nosotros a través de correo electrónico: <strong>robertm@add4d.org</strong> <strong>Clave: Divulgación2019</strong>
DOI: 10.5281/zenodo.6755350
title: Castillo de Alcalá de Xivert, Castellón, España, Europa │ Proyecto geomático 2D, 3D

description: Proyecto geomático realizado por <strong>AD&D 4D </strong>para la Diputación de Castellón. <br> Sistema de referencia geodésico:<strong> ETRS-89.</strong> Proyección <strong>UTM-31</strong>. Altitudes<br> Ortométricas referidas al nivel medio del mar de Alicante. Modelo de Geoide<br> <strong>EGM08</strong> con sobrecorreción de nivelación. Panorámica 360º 26.667 x 3066 pix (2019-07-10CastAlcalaXivertPano04) Nube de puntos densa (Cloud Point) GeoRef 153Millones de puntos (2019-07-02CastilloAlcaláDeXivertNPD153MCv) Nube de puntos densa (Cloud Point) GeoRef 47 Millones de puntos (2019-07-02CastilloAlcaláDeXivertNPD47MCv) OrtofotoMapa GeoTiff 1 cm / Pix (2019-07-02CastilloAlcaláDeXivertOrto1cmCv) DEM (Modelo Digital Elevación) 1 cm. / Pix (2019-07-02CastilloAlcaláDeXivertDEM1cmCv) El presente proyecto se encuentra en fase de investigación, los archivos están encriptados. Si desea obtener la clave, por favor póngase en contacto con nosotros a través de correo electrónico: <strong>robertm@add4d.org</strong> <strong>Clave: Divulgación2019</strong>
DOI: 10.5281/zenodo.7557382
title: Data set: 6perfis+3prisioneiros3

description: Classes profiles and evaluation entries used in the article Multicriteria Classification of Reward Collaboration Proposals.
DOI: 10.5281/zenodo.7557381
title: Data set: 6perfis+3prisioneiros3

description: Classes profiles and evaluation entries used in the article Multicriteria Classification of Reward Collaboration Proposals.
DOI: 10.5281/zenodo.7557398
title: clarias_buthupogon_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.7557397
title: clarias_buthupogon_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.7557400
title: clarias_buthupogon_decontaminated_gx.fasta.gz

description: .
DOI: 10.5281/zenodo.7557399
title: clarias_buthupogon_decontaminated_gx.fasta.gz

description: .
DOI: 10.13011/m3-ffgq-d561
title: Understanding the Effect of Electrochemical Properties and Microstructure on the Microgalvanic Corrosion of Mg Alloys via Phase-Field Simulations
DOI: 10.5281/zenodo.7548970
title: Supporting dataset for article "Coastal survey data for Perranporth Beach and Start Bay, Southwest England (2006–2021)"

description: This submission is a dataset associated with the publication: "Coastal survey data for Perranporth Beach and Start Bay, Southwest England (2006–2021)", R. J. McCarroll et al., submitted to Scientific Data, Jan 2023. Included data are multi-method coastal data for the period 2006 to 2021, for two contrasting macrotidal environments in southwest England: (i) cross-shore dominated, dissipative, sandy Perranporth Beach, Cornwall; and (ii) longshore-dominated, reflective gravel beaches within Start Bay, Devon. Data comprise monthly to annual beach profile surveys, annual merged topo-bathymetries, in addition to observed and numerically modelled wave and water levels. These data provide a valuable resource for modelling the behaviour of coastal types not covered by other currently available datasets. See "README.txt" and "_Metadata_DS01-DS13.xlsx" for further details.
DOI: 10.5281/zenodo.7548971
title: Supporting dataset for article "Coastal survey data for Perranporth Beach and Start Bay, Southwest England (2006–2021)"

description: This submission is a dataset associated with the publication: "Coastal survey data for Perranporth Beach and Start Bay, Southwest England (2006–2021)", R. J. McCarroll et al., submitted to Scientific Data, Jan 2023. Included data are multi-method coastal data for the period 2006 to 2021, for two contrasting macrotidal environments in southwest England: (i) cross-shore dominated, dissipative, sandy Perranporth Beach, Cornwall; and (ii) longshore-dominated, reflective gravel beaches within Start Bay, Devon. Data comprise monthly to annual beach profile surveys, annual merged topo-bathymetries, in addition to observed and numerically modelled wave and water levels. These data provide a valuable resource for modelling the behaviour of coastal types not covered by other currently available datasets. See "README.txt" and "_Metadata_DS01-DS13.xlsx" for further details.
DOI: 10.5281/zenodo.7557390
title: Supporting dataset for article "Coastal survey data for Perranporth Beach and Start Bay, Southwest England (2006–2021)"

description: This submission is a dataset associated with the publication: "Coastal survey data for Perranporth Beach and Start Bay, Southwest England (2006–2021)", R. J. McCarroll et al., submitted to Scientific Data, Jan 2023. Included data are multi-method coastal data for the period 2006 to 2021, for two contrasting macrotidal environments in southwest England: (i) cross-shore dominated, dissipative, sandy Perranporth Beach, Cornwall; and (ii) longshore-dominated, reflective gravel beaches within Start Bay, Devon. Data comprise monthly to annual beach profile surveys, annual merged topo-bathymetries, in addition to observed and numerically modelled wave and water levels. These data provide a valuable resource for modelling the behaviour of coastal types not covered by other currently available datasets. See "README.txt" and "_Metadata_DS01-DS13.xlsx" for further details.
DOI: 10.5281/zenodo.7557447
title: clarias_buthupogon_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7557446
title: clarias_buthupogon_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7557471
title: euristhmus_nudiceps_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.7557470
title: euristhmus_nudiceps_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.7925/drs1.duchas_4932114
title: Reilig Chill Mhéin

description: Story collected by a student at S.N. Chnoc Chrochaire school (Knockcroghery, Co. Roscommon) (no informant identified).
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Brian Ó h Uidhir.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_4932115
title: Fairy Forts

description: Story collected by Chriss Kenny, a student at Faltia school (Faltia, Co. Roscommon) from informant John Turley.
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Thomas Quinn.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_5193290
title: Weather Signs

description: Story collected by a student at Effernan, Cill an Dísirt school (Effernan, Co. Clare) (no informant identified).
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Seán de Nógla.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_4493445
title: Rí agus a Thriúr Mac

description: Story collected by a student at Rann na Feirsde school (Rinnafarset, Co. Donegal) from informant Domhnall Ó Grianna.
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Pádraig Ó Baoighill.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_4715090
title: Luibheanna agus Crainn

description: Story collected by Eibhlín Ní Cronín, a student at Clochar na Trócaire school (Killarney, Co. Kerry) (no informant identified).
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher An tSr. Aodán.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_5193291
title: Famous Men

description: Story collected by a student at Effernan, Cill an Dísirt school (Effernan, Co. Clare) (no informant identified).
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Seán de Nógla.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.