Research Data Leeds Repository

Citation

Philp, Kate and Acharya, Anjali and Wang, Tao and Velis, Costas and Cottom, Joshua and Cook, Ed and Newby, David and de Silva, Janaka and Nightingale, Maeve and Bui Thi Thu, Hien and Sorrentino, Lynn and Sousa, Joao and Veiga, Joana and Gwee, Robyn and Van Veen, Bastien, The World Bank (2023) Toolkit: Plastic pollution assessment methodologies suitability toolkit (PLAST). University of Leeds. [Dataset]

Dataset description

PLAST is a Microsoft Excel VBA tool designed to characterize and compare plastic pollution assessment methodologies to suggest the most suitable options based on a user's requirements.

Keywords:	Plastic Pollution, Assessment methodologies, Marine Litter
Subjects:	F000 - Physical sciences > F700 - Science of aquatic & terrestrial environments > F750 - Environmental sciences > F753 - Pollution control F000 - Physical sciences > F700 - Science of aquatic & terrestrial environments F000 - Physical sciences > F700 - Science of aquatic & terrestrial environments > F710 - Marine sciences F000 - Physical sciences > F700 - Science of aquatic & terrestrial environments > F750 - Environmental sciences J000 - Technologies > J400 - Polymers & textiles > J410 - Polymers technology > J411 - Plastics
Divisions:	Faculty of Engineering and Physical Sciences > School of Civil Engineering
Related resources:	Location Type https://plasticpollution.leeds.ac.uk/home/toolkits/plast/ Website
Citation:	World Bank. 2023. Plastic Pollution Assessment Methodologies Suitability Toolkit (PLAST). Washington DC. [Toolkit]
License:	Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
Date deposited:	13 Nov 2023 08:12
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/1187
Additional details Additional details Creators or authors: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Philp, Kate The World Bank https://ror.org/00ae7jd04 ror Acharya, Anjali The World Bank https://ror.org/00ae7jd04 ror Wang, Tao The World Bank https://ror.org/00ae7jd04 ror Velis, Costas https://orcid.org/0000-0002-1906-726X University of Leeds https://ror.org/024mrxd33 ror Cottom, Joshua https://orcid.org/0000-0002-3480-3982 University of Leeds https://ror.org/024mrxd33 ror Cook, Ed https://orcid.org/0000-0003-3902-7705 University of Leeds https://ror.org/024mrxd33 ror Newby, David David Newby Associates de Silva, Janaka International Union for Conservation of Nature https://ror.org/00yq23r19 ror Nightingale, Maeve International Union for Conservation of Nature https://ror.org/00yq23r19 ror Bui Thi Thu, Hien International Union for Conservation of Nature https://ror.org/00yq23r19 ror Sorrentino, Lynn https://orcid.org/0000-0001-5416-6805 International Union for Conservation of Nature https://ror.org/00yq23r19 ror Sousa, Joao International Union for Conservation of Nature https://ror.org/00yq23r19 ror Veiga, Joana Deltares https://ror.org/01deh9c76 ror Gwee, Robyn Deltares https://ror.org/01deh9c76 ror Van Veen, Bastien Deltares https://ror.org/01deh9c76 ror Corporate creators: The World Bank Type of data: Dataset Research funders: PROBLUE Publication date: 2023 Resource language: English Metadata language: English Publisher: University of Leeds Contact email: C.Velis@leeds.ac.uk Last Modified: 17 May 2024 14:23

Files

Documentation

README-PLAST-2023.txt [3kB] README-PLAST-2023.txt [3kB] README-PLAST-2023.txt [3kB] Security: Anyone File name: README-PLAST-2023.txt Content type: Documentation Mime-Type: text/plain License: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) File size: 3kB

Data

Toolkit: Plastic pollution assessment methodologies suitability toolkit (PLAST) [4MB] Toolkit: Plastic pollution assessment methodologies suitability toolkit (PLAST) [4MB] Toolkit: Plastic pollution assessment methodologies suitability toolkit (PLAST) [4MB] Security: Anyone File name: PLAST_V1.0.xlsm Content type: Data Description: PLAST is a Microsoft Excel VBA tool designed to characterize and compare plastic pollution assessment methodologies to suggest the most suitable options based on a user's requirements. Mime-Type: application/vnd.ms-excel.sheet.macroEnabled.12 License: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) File size: 4MB