Data supporting the article "Assessing the effectiveness of microplastic extraction methods on fishmeal with different properties ".
Data supporting the article "Assessing the effectiveness of microplastic extraction methods on fishmeal with different properties ".
This dataset supports the publication:
"Assessing the effectiveness of microplastic extraction methods on fishmeal with different properties"
by C Way, M D. Hudson, I Williams, G. Langleyc, R Mars, Anal. Methods, 2022,14, 606-619 https://doi.org/10.1039/D1AY02154K
This data contains Excel data which are used for generating Tables for the article.
The data analyses Raw recovery rates of spiked microplastics from fishmeal. Data includes Total MPs spikes in specimen, Number of each polymer in a specimen,
and Recovery rate of individual polymers
Geographic location of data collection: University of Southampton, U.K.
Dataset available under a CC BY 4.0 licence
University of Southampton
Way, Chloe, Jane
249b08f3-cd8a-4169-b5c0-7e860637c3f5
Way, Chloe, Jane
249b08f3-cd8a-4169-b5c0-7e860637c3f5
Way, Chloe, Jane
(2022)
Data supporting the article "Assessing the effectiveness of microplastic extraction methods on fishmeal with different properties ".
University of Southampton
doi:10.5258/SOTON/D2102
[Dataset]
Abstract
This dataset supports the publication:
"Assessing the effectiveness of microplastic extraction methods on fishmeal with different properties"
by C Way, M D. Hudson, I Williams, G. Langleyc, R Mars, Anal. Methods, 2022,14, 606-619 https://doi.org/10.1039/D1AY02154K
This data contains Excel data which are used for generating Tables for the article.
The data analyses Raw recovery rates of spiked microplastics from fishmeal. Data includes Total MPs spikes in specimen, Number of each polymer in a specimen,
and Recovery rate of individual polymers
Geographic location of data collection: University of Southampton, U.K.
Dataset available under a CC BY 4.0 licence
Text
D2102_Readme.txt
- Dataset
Spreadsheet
MethodDevelopmentData.xlsx
- Dataset
More information
Published date: 19 January 2022
Identifiers
Local EPrints ID: 473890
URI: http://eprints.soton.ac.uk/id/eprint/473890
PURE UUID: 3df29b04-7fec-4228-9da1-41773694f815
Catalogue record
Date deposited: 02 Feb 2023 17:39
Last modified: 06 May 2023 02:00
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