409,889 comparisons among 1,111 agents.
| Description | Protect our Planet from Solar Storms (Zooniverse): citizen scientists chose which of two coronal mass ejection images looked more complicated. 409,889 decisions on 1,111 images by 5,898 raters in two sessions (original 2018; brightness-equalised 2019-20); agent_a = image chosen. |
|---|---|
| Reference | Jones, S. R., Scott, C. J., Barnard, L. A., Highfield, R., Lintott, C. J., & Baeten, E. (2020). The visual complexity of coronal mass ejections follows the solar cycle. Space Weather, 18(10), e2020SW002556. |
| DOI | 10.1029/2020SW002556 |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.6084/m9.figshare.7808693.v1 |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Comparisons | 409,889 |
|---|---|
| Agents | 1,111 |
agent_aagent_bdatehomefieldraterrater_logged_insessionside_chosenwinner
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("jones_2020_cme_complexity", source = "comp")
# Python
pip install irw
import irw
df = irw.fetch("jones_2020_cme_complexity", source="comp")
@article{Jones_2020, title={The Visual Complexity of Coronal Mass Ejections Follows the Solar Cycle}, volume={18}, ISSN={1542-7390}, url={http://dx.doi.org/10.1029/2020SW002556}, DOI={10.1029/2020sw002556}, number={10}, journal={Space Weather}, publisher={American Geophysical Union (AGU)}, author={Jones, S. R. and Scott, C. J. and Barnard, L. A. and Highfield, R. and Lintott, C. J. and Baeten, E.}, year={2020}, month=Oct }
| IRW version | v584 |
|---|---|
| Redivis dataset | irw_competitions v6.2 |
| Redivis dataset DOI | 10.57761/1w3w-5w94 |
| Manifest pin for this IRW version | v6.2 |
| Metadata source | irw_meta v44.0 |