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Dataset to support An in vitro model of intramural periarterial drainage. Significance for Alzheimer's disease

Dataset to support An in vitro model of intramural periarterial drainage. Significance for Alzheimer's disease
Dataset to support An in vitro model of intramural periarterial drainage. Significance for Alzheimer's disease
This dataset supports the thesis entitled: An in vitro model of intramural periarterial drainage. Significance for Alzheimer's diesase. AWARDED BY: University of Southampton DATE OF AWARD: 2020
University of Southampton
Keable, Abby
175d97e8-3baf-4130-94a8-f981810e2c96
O'Neill, Ronan
639dce71-1b32-473f-ba04-17d8c4d42067
Baseley, Daniel
c64b6898-e451-4b5f-9ca9-4068fce46091
Carare, Roxana-Octavia
0478c197-b0c1-4206-acae-54e88c8f21fa
Keable, Abby
175d97e8-3baf-4130-94a8-f981810e2c96
O'Neill, Ronan
639dce71-1b32-473f-ba04-17d8c4d42067
Baseley, Daniel
c64b6898-e451-4b5f-9ca9-4068fce46091
Carare, Roxana-Octavia
0478c197-b0c1-4206-acae-54e88c8f21fa

Keable, Abby, O'Neill, Ronan and Baseley, Daniel (2020) Dataset to support An in vitro model of intramural periarterial drainage. Significance for Alzheimer's disease. University of Southampton doi:10.5258/SOTON/D1469 [Dataset]

Record type: Dataset

Abstract

This dataset supports the thesis entitled: An in vitro model of intramural periarterial drainage. Significance for Alzheimer's diesase. AWARDED BY: University of Southampton DATE OF AWARD: 2020

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Keable_thesis_dataset_basement_membrane_analysis_of_cerebrovascular_cells.xlsx - Dataset
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Keable_readme_file_for_PhD_thesis_dataset.txt - Text
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More information

Published date: 10 July 2020

Identifiers

Local EPrints ID: 442251
URI: http://eprints.soton.ac.uk/id/eprint/442251
PURE UUID: d5569136-2f62-46e0-b457-1b75d57e1e5a
ORCID for Roxana-Octavia Carare: ORCID iD orcid.org/0000-0001-6458-3776

Catalogue record

Date deposited: 10 Jul 2020 16:30
Last modified: 28 Sep 2023 01:35

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Contributors

Creator: Abby Keable
Creator: Ronan O'Neill
Creator: Daniel Baseley
Research team head: Roxana-Octavia Carare ORCID iD

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