The University of Southampton
University of Southampton Institutional Repository

The dataset is supporting the Doctoral Thesis "Adaptation and diversification in the Canary island endemic Descurainia (Brassicaceae)"

The dataset is supporting the Doctoral Thesis "Adaptation and diversification in the Canary island endemic Descurainia (Brassicaceae)"
The dataset is supporting the Doctoral Thesis "Adaptation and diversification in the Canary island endemic Descurainia (Brassicaceae)"
This dataset is supporting the Doctoral Thesis "Adaptation and diversification in the Canary island endemic Descurainia (Brassicaceae)" by Amy Jackson The dataset includes Desc_genome_files.zip
University of Southampton
Jackson, Amy Clare
732a7afe-b36d-421f-a6ba-624e4bc801b7
Jackson, Amy Clare
732a7afe-b36d-421f-a6ba-624e4bc801b7

Jackson, Amy Clare (2024) The dataset is supporting the Doctoral Thesis "Adaptation and diversification in the Canary island endemic Descurainia (Brassicaceae)". University of Southampton doi:10.5258/SOTON/D2889 [Dataset]

Record type: Dataset

Abstract

This dataset is supporting the Doctoral Thesis "Adaptation and diversification in the Canary island endemic Descurainia (Brassicaceae)" by Amy Jackson The dataset includes Desc_genome_files.zip

Text
thesis_readme_Jackson.txt - Dataset
Download (646B)
Archive
Desc_genome_files.zip - Dataset
Available under License Creative Commons Attribution.
Download (223MB)

More information

Published date: 2024

Identifiers

Local EPrints ID: 487562
URI: http://eprints.soton.ac.uk/id/eprint/487562
PURE UUID: 4ab3291f-df01-4306-baab-ec79741a4dd0
ORCID for Amy Clare Jackson: ORCID iD orcid.org/0000-0003-0660-0181

Catalogue record

Date deposited: 23 Feb 2024 17:51
Last modified: 01 Nov 2024 05:01

Export record

Altmetrics

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×