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Pre and post-survey data evaluating the impact of the COLLECT project on participants
Citable as data publication
Severin, M.I.; Akpetou, K.L.; Annasawmy, P.; Asuquo, F.E.; Beckman, F.; Benomar, M.; Jaya-Ram, A.; Malouli, M.; Mees, J.; Monteiro, I.; Ndwiga, J.; Silva, P.N.; Nubi, O.A.; Sim, Y.K.; Sohou, Z.; Hwai, T.S.; Woo, S.P.; Zizah, S.; Buysse, A.; Raes, F.; Krug, L.A.; Seeyave, S.; Everaert, G.; Mahu, E.; Catarino, A.I.; (2023): Pre and post-survey data evaluating the impact of the COLLECT project on participants. Marine Data Archive. https://doi.org/10.14284/587 https://doi.org/10.17605/OSF.IO/VB8TX

Availability: Creative Commons License This dataset is licensed under a Creative Commons Attribution 4.0 International License.

Description
The dataset consists of the answers to the pre- and post-surveys evaluating the impact of the citizen science intervention of the COLLECT project on participants' ocean literacy, pro-environmental intentions and attitudes, and well-being.

Scope
Themes:
Coastal studies (e.g. shores, estuaries)
Keywords:
Marine/Coastal, Citizen science, Ocean literacy, Plastic pollution, Pro-environmental intentions, Questionnaires, Well-being

Temporal coverage
1 November 2021 - 31 May 2022
Not relevant

Parameters
Attitudes towards Litter Removal
Behavioral Intentions
Litter-reducing Behaviors
Nature Connectedness
Perceived Causes of Marine Litter
Perceived Impacts of Marine Litter
Perceived Salience of Plastic
Problem Awareness of Marine Litter
Pro-environmental attitudes
Satisfaction with the COLLECT Project
Visit Frequency to the Beach
Well-Being

Contributors
Vlaams Instituut voor de Zee (VLIZ), moredata creatordata creator
Universiteit Gent; Faculteit Psychologie en Pedagogische Wetenschappen; Vakgroep Experimenteel - Klinische en Gezondheidspsychologie, moredata creator
KU Leuven; Centrum voor Leerpsychologie en Experimentele Psychopathologie, moredata creator
Centre Universitaire de Recherche et d’application en Télédétection (CURAT), moredata creator
Université de Bretagne Occidentale (UBO), moredata creator
University of Calabar; Marine Atmosphere & Coastal Ocean Research Network (MACORN), moredata creator
Secretariat Partnership for Observation of the Global Oceans (POGO), moredata creator
National Institute for Fisheries Research (INRH), moredata creator
Universiti Sains Malaysia; Centre for Marine and Coastal Studies (CEMACS), moredata creator
Institute of Marine Research; Ocean Science Centre Mindelo (OSCM), moredata creator
Vrije Universiteit Brussel; Faculteit Wetenschappen & Bio-ingenieurswetenschappen (WE), moredata creator
Nigerian Institute for Oceanography and Marine Research (NIOMR), moredata creator
Benin Oceanographic and Fisheries Research Centre, moredata creator
University of Algarve; Centre for Marine and Environmental Research (CIMA), moredata creator
University of Ghana; Department of Marine and Fisheries Sciences, moredata creator

Project
POGO: Partnership for Observation of the Global Ocean, more

Publication
Based on this dataset
Catarino, A.I. et al. (2023). Addressing data gaps in marine litter distribution: Citizen science observations of plastic pollution in coastal ecosystems by high-school students. Front. Mar. Sci. 10: 1126895. https://dx.doi.org/10.3389/fmars.2023.1126895, more
Severin, M.I. et al. (2023). Impact of the citizen science project COLLECT on ocean literacy and well-being within a north/west African and south-east Asian context. Frontiers in Psychology 14: 1130596. https://dx.doi.org/10.3389/fpsyg.2023.1130596, more
Describing this dataset
Catarino, A.I. et al. (2021). Citizen observation of local litter in coastal ecosystems: Data management plan. Version 1. Partnership for the Observation of the Global Ocean (POGO)/Flanders Marine Institute (VLIZ)/University of Ghana: Ostend. 7 parts pp. https://dx.doi.org/10.48470/40, more

Dataset status: Completed
Data type: Data
Data origin: Citizen science
Metadatarecord created: 2022-12-26
Information last updated: 2023-02-22
All data in the Integrated Marine Information System (IMIS) is subject to the VLIZ privacy policy