binette_2022_extinction

2,146 responses from 63 respondents to 42 items.

About this table

DescriptionTrial/block-level percent-time-freezing during Pavlovian fear conditioning/extinction/retrieval (and extinction-2/renewal for Wistar rats), N=63 rats (31 Long-Evans + 32 Wistar), 42 items.
ReferenceBinette AN, Totty MS, Maren S (2022) Sex differences in the immediate extinction deficit and renewal of extinguished fear in rats. PLOS ONE 17(6): e0264797.
DOI10.1371/journal.pone.0264797
LicenceCC BY 4.0
Source datahttps://doi.org/10.1371/journal.pone.0264797.s001

Size and shape

Responses2,146
Respondents63
Items42
Response categories866
Responses per respondent34.063
Responses per item51.095
Density0.811
LongitudinalFALSE

Classification

age rangeNot applicable (non-person)
sampleAnimal
measurement toolObservational rating

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, binette_2022_extinction.py. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.

ColumnWhat it isSource column
IRW standard columns
idIRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task).made in the build script
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script
Respondent covariates
cov_ext_conditionCovariate made in the build script
cov_ext_groupCovariate made in the build script
cov_genotypeCovariate made in the build script
cov_renewal_contextCovariate made in the build script
cov_sexCovariate made in the build script
cov_strainCovariate made in the build script

What item codes and covariate values stand for is in the codebook released with the source data.

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

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("binette_2022_extinction")
# Python
pip install irw

import irw
df = irw.fetch("binette_2022_extinction")

How to cite

@article{Binette_2022, title={Sex differences in the immediate extinction deficit and renewal of extinguished fear in rats}, volume={17}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0264797}, DOI={10.1371/journal.pone.0264797}, number={6}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Binette, Annalise N. and Totty, Michael S. and Maren, Stephen}, editor={Helmstetter, Fred J.}, year={2022}, month=June, pages={e0264797} }

Version and provenance

IRW versionv549
Redivis datasetitem_response_warehouse_4 v13.0
Redivis dataset DOI10.57761/w8zx-td92
Manifest pin for this IRW versionv13.0
Metadata sourceirw_meta v39.0