A text-mining based analysis of 100,000 tumours affecting dogs and cats in the United Kingdom

Measurement(s) tumour Technology Type(s) digital curation • text mining Factor Type(s) animal species • breed • sex • neuter status Sample Characteristic - Organism Canis lupus familiaris • Felis catus Sample Characteristic - Location United Kingdom Machine-accessible metadata file describing the re...

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Published in:Scientific Data
Main Authors: José Rodríguez, David R. Killick, Lorenzo Ressel, Antonio Espinosa de los Monteros, Angelo Santana, Samuel Beck, Francesco Cian, Jenny S. McKay, P. J. Noble, Gina L. Pinchbeck, David A. Singleton, Alan D. Radford
Format: Article in Journal/Newspaper
Language:English
Published: Nature Portfolio 2021
Subjects:
Science
Q
Canis lupus
Online Access:https://doi.org/10.1038/s41597-021-01039-x
https://doaj.org/article/7636a439fa3a487a9d2a8b001dce264c
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spelling ftdoajarticles:oai:doaj.org/article:7636a439fa3a487a9d2a8b001dce264c 2023-05-15T15:49:34+02:00 A text-mining based analysis of 100,000 tumours affecting dogs and cats in the United Kingdom José Rodríguez David R. Killick Lorenzo Ressel Antonio Espinosa de los Monteros Angelo Santana Samuel Beck Francesco Cian Jenny S. McKay P. J. Noble Gina L. Pinchbeck David A. Singleton Alan D. Radford 2021-10-01T00:00:00Z https://doi.org/10.1038/s41597-021-01039-x https://doaj.org/article/7636a439fa3a487a9d2a8b001dce264c EN eng Nature Portfolio https://doi.org/10.1038/s41597-021-01039-x https://doaj.org/toc/2052-4463 doi:10.1038/s41597-021-01039-x 2052-4463 https://doaj.org/article/7636a439fa3a487a9d2a8b001dce264c Scientific Data, Vol 8, Iss 1, Pp 1-11 (2021) Science Q article 2021 ftdoajarticles https://doi.org/10.1038/s41597-021-01039-x 2022-12-31T11:31:08Z Measurement(s) tumour Technology Type(s) digital curation • text mining Factor Type(s) animal species • breed • sex • neuter status Sample Characteristic - Organism Canis lupus familiaris • Felis catus Sample Characteristic - Location United Kingdom Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.15074079 Article in Journal/Newspaper Canis lupus Directory of Open Access Journals: DOAJ Articles Scientific Data 8 1
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Science
Q
spellingShingle Science
Q
José Rodríguez
David R. Killick
Lorenzo Ressel
Antonio Espinosa de los Monteros
Angelo Santana
Samuel Beck
Francesco Cian
Jenny S. McKay
P. J. Noble
Gina L. Pinchbeck
David A. Singleton
Alan D. Radford
A text-mining based analysis of 100,000 tumours affecting dogs and cats in the United Kingdom
topic_facet Science
Q
description Measurement(s) tumour Technology Type(s) digital curation • text mining Factor Type(s) animal species • breed • sex • neuter status Sample Characteristic - Organism Canis lupus familiaris • Felis catus Sample Characteristic - Location United Kingdom Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.15074079
format Article in Journal/Newspaper
author José Rodríguez
David R. Killick
Lorenzo Ressel
Antonio Espinosa de los Monteros
Angelo Santana
Samuel Beck
Francesco Cian
Jenny S. McKay
P. J. Noble
Gina L. Pinchbeck
David A. Singleton
Alan D. Radford
author_facet José Rodríguez
David R. Killick
Lorenzo Ressel
Antonio Espinosa de los Monteros
Angelo Santana
Samuel Beck
Francesco Cian
Jenny S. McKay
P. J. Noble
Gina L. Pinchbeck
David A. Singleton
Alan D. Radford
author_sort José Rodríguez
title A text-mining based analysis of 100,000 tumours affecting dogs and cats in the United Kingdom
title_short A text-mining based analysis of 100,000 tumours affecting dogs and cats in the United Kingdom
title_full A text-mining based analysis of 100,000 tumours affecting dogs and cats in the United Kingdom
title_fullStr A text-mining based analysis of 100,000 tumours affecting dogs and cats in the United Kingdom
title_full_unstemmed A text-mining based analysis of 100,000 tumours affecting dogs and cats in the United Kingdom
title_sort text-mining based analysis of 100,000 tumours affecting dogs and cats in the united kingdom
publisher Nature Portfolio
publishDate 2021
url https://doi.org/10.1038/s41597-021-01039-x
https://doaj.org/article/7636a439fa3a487a9d2a8b001dce264c
genre Canis lupus
genre_facet Canis lupus
op_source Scientific Data, Vol 8, Iss 1, Pp 1-11 (2021)
op_relation https://doi.org/10.1038/s41597-021-01039-x
https://doaj.org/toc/2052-4463
doi:10.1038/s41597-021-01039-x
2052-4463
https://doaj.org/article/7636a439fa3a487a9d2a8b001dce264c
op_doi https://doi.org/10.1038/s41597-021-01039-x
container_title Scientific Data
container_volume 8
container_issue 1
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