8,220 rated or chosen profiles from 172 respondents, in up to 16 tasks of 3 profiles varying on 5 attributes.
| Description | Participants in 15 Deliberative Monetary Valuation workshops in Poland, Italy, the Basque Country (Spain), Germany and France (2023-24, n = 172) chose among two marine-policy scenarios and business as usual on 16 fixed cards varying climate regulation, algal/jellyfish blooms, plankton stability, marine protected area status and an annual tax. |
|---|---|
| Reference | Jean-Louis, G. (2025). Europe-wide public preferences for plankton-based ecosystem services and marine biodiversity from a series of Deliberative Monetary Valuation workshops [Data set]. Zenodo. |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.5281/zenodo.17710200 |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 172 |
|---|---|
| Rows (one per respondent, task and profile) | 8,220 |
| Tasks per respondent (most) | 16 |
| Profiles per task | 3 |
| Attributes | 5 |
| Tasks with no profile chosen | 0 |
| Topic | climate energy environment |
|---|---|
| A profile represents | policy |
| Country | PL, IT, ES, DE, FR |
| Language shown | pl, it, es, de, fr |
| Language of stored levels | en |
| Randomization restrictions | yes (stated by the source): fixed Bayesian D-efficient design of 16 choice situations, one block, same for everyone; business-as-usual levels fixed (+ 0 %, Yes, Less stable, Minimally protected, 0 €); plankton and blooms rows come from one 3-level design attribute, so 'More stable' always pairs with blooms 'No' |
| Task order | inferred from row order |
| Profile position | recorded in the deposit |
Because the attribute levels were not randomized independently, an estimator has to account for the restriction; a plain difference in means across levels can mislead. Task order or profile position was rebuilt from row order; analyses of position or task order should leave it out.
Outcomes:
| choice | Please select your preferred scenario by placing a cross in the bottom line. [choice, forced] |
|---|
attr_bloomsattr_climate_regulationattr_costattr_mpa_protectionattr_planktonattrpos_bloomsattrpos_climate_regulationattrpos_costattrpos_mpa_protectionattrpos_planktonchoicecov_birth_yearcov_choice_certaintycov_coastalcov_countrycov_educationcov_gendercov_locationcov_workshopidprofiletask
The layout (one row per respondent, task and profile; choice/rating outcomes; attr_ columns holding each attribute level as displayed) is defined in the IRW conjoint standard. What the outcomes asked is under Design above.
Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("jeanlouis_2025_plankton_dmv", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("jeanlouis_2025_plankton_dmv", source="conj")
@misc{https://doi.org/10.5281/zenodo.17710200,
doi = {10.5281/ZENODO.17710200},
url = {https://zenodo.org/doi/10.5281/zenodo.17710200},
author = {Jean-Louis, Gilles},
language = {en},
title = {Europe-wide public preferences for plankton-based ecosystem services and marine biodiversity from a series of Deliberative Monetary Valuation workshops},
publisher = {Zenodo},
year = {2025},
copyright = {Creative Commons Attribution 4.0 International}
}
| IRW version | v584 |
|---|---|
| Redivis dataset | irw_conjoint v4.2 |
| Redivis dataset DOI | 10.57761/qkye-q530 |
| Manifest pin for this IRW version | v4.2 |
| Metadata source | irw_meta v44.0 |