46,197 rated or chosen profiles from 1,711 respondents, in up to 9 tasks of 3 profiles varying on 5 attributes.
| Description | Choice experiment on the management of a new woodland in Great Britain (winter wave): 1,711 adults chose in nine tasks among Option A, Option B and No change, described by the variety of sounds, colours and smells, the amount of deadwood and a yearly council tax increase. |
|---|---|
| Reference | King, P., Davies, Z., et al. (2026). Replication materials: Stated preferences for the colours, smells, and sounds of biodiversity [Data set]. Zenodo. |
| DOI | 10.1016/j.ecolecon.2024.108410 |
| Licence | MIT License |
| Source data | https://doi.org/10.5281/zenodo.20645896 |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 1,711 |
|---|---|
| Rows (one per respondent, task and profile) | 46,197 |
| Tasks per respondent (most) | 9 |
| Profiles per task | 3 |
| Attributes | 5 |
| Tasks with no profile chosen | 0 |
| Topic | climate energy environment |
|---|---|
| A profile represents | policy |
| Country | GB |
| Language shown | en |
| Language of stored levels | en |
| Randomization restrictions | unknown |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
Outcomes:
| choice | Which ONE of the above choices would you pick for the new woodland? (Option A / Option B / No change) [choice, forced] |
|---|
attr_colour_varietyattr_council_tax_increaseattr_deadwoodattr_smell_varietyattr_sound_varietychoicecov_age_groupcov_areacov_countrycov_educationcov_household_incomeidprofiletasktrial_block
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("king_2026_biodiversity_woodland", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("king_2026_biodiversity_woodland", source="conj")
@article{King_2025, title={Stated preferences for the colours, smells, and sounds of biodiversity}, volume={227}, ISSN={0921-8009}, url={http://dx.doi.org/10.1016/j.ecolecon.2024.108410}, DOI={10.1016/j.ecolecon.2024.108410}, journal={Ecological Economics}, publisher={Elsevier BV}, author={King, Peter M. and Dallimer, Martin and Lundhede, Thomas and Austen, Gail E. and Fisher, Jessica C. and Irvine, Katherine N. and Fish, Robert D. and Davies, Zoe G.}, year={2025}, month=Jan, pages={108410} }
| IRW version | v584 |
|---|---|
| Redivis dataset | irw_conjoint_2 v1.4 |
| Redivis dataset DOI | 10.57761/hk97-wv30 |
| Manifest pin for this IRW version | v1.4 |
| Metadata source | irw_meta v44.0 |