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

doi:10.1038/s41597-021-01039-x

Scientific Data (Oct 2021)

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

Affiliations

José Rodríguez: Institute for Animal Health and Food Safety, University of Las Palmas de Gran Canaria
David R. Killick: Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Leahurst Campus
Lorenzo Ressel: Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Leahurst Campus
Antonio Espinosa de los Monteros: Institute for Animal Health and Food Safety, University of Las Palmas de Gran Canaria
Angelo Santana: Mathematics Department, University of Las Palmas de Gran Canaria
Samuel Beck: VPG Histology (formerly Bridge), Horner Court
Francesco Cian: Batt Laboratories, Venture Centre
Jenny S. McKay: IDEXX Laboratories Ltd., Grange House, Sandbeck Way
P. J. Noble: Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Leahurst Campus
Gina L. Pinchbeck: Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Leahurst Campus
David A. Singleton: Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Leahurst Campus
Alan D. Radford: Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Leahurst Campus

DOI: https://doi.org/10.1038/s41597-021-01039-x
Journal volume & issue: Vol. 8, no. 1
pp. 1 – 11

Abstract

Read online

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

Published in Scientific Data

ISSN: 2052-4463 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/sdata/

About the journal