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122,561 to 122,570 of 122,600 Results
FCbP.csv
Aug 3, 2017 - Data-driven criteria to assess fear remission and phenotypic variability of extinction in rats
Comma Separated Values - 89.0 KB - MD5: 026c4db7ea70b6835530c59cdf07c954
Data
Data for Study 1 as provided by Carolyn Jones
Fear_Classification.Rmd
Aug 3, 2017 - Data-driven criteria to assess fear remission and phenotypic variability of extinction in rats
Unknown - 21.3 KB - MD5: ad22527387d7438f6865fe4165e8655c
CodeDocumentation
R Markdown containing documentation and R code for preprocessing the original data files in the repository and generating all analyses reported in paper
ITI_PROJECT_DATA.xlsx
Aug 3, 2017 - Data-driven criteria to assess fear remission and phenotypic variability of extinction in rats
MS Excel Spreadsheet - 54.0 KB - MD5: 5f9920f976fc5b094ea214c21a25d51a
Data
Data for Study 2 as provided by Allison Auchter
MBEXT_addedsubjects.xlsx
Aug 3, 2017 - Data-driven criteria to assess fear remission and phenotypic variability of extinction in rats
MS Excel Spreadsheet - 45.7 KB - MD5: 05338cf46ed64edb4d2f0e9dfa895012
Data
Data for Studies 2-3 as provided by Allison Auchter
Monfils Fear Memory Lab Dataverse(University of Texas at Austin)
Aug 3, 2017
Replication data and code for: Determining optimal parameters of the Self Referent Encoding Task: A large-scale examination of self-referent cognition and depression
May 25, 2017 - Determining optimal parameters of the Self Referent Encoding Task: A large-scale examination of self-referent cognition and depression Dataverse
Dainer-Best, Justin; Lee, Hae Yeon; Shumake, Jason; Yeager, David; Beevers, Christopher, 2017, "Replication data and code for: Determining optimal parameters of the Self Referent Encoding Task: A large-scale examination of self-referent cognition and depression", https://doi.org/10.18738/T8/XK5PXX, Texas Data Repository, V1, UNF:6:q3PMaMwiCbjLrPJXWpd1cg== [fileUNF]
Abstract: Although the Self-Referent Encoding Task (SRET) is commonly used to measure self-referent cognition in depression, many different SRET metrics can be obtained. The current study used best subsets regression with cross-validation and independent test samples to identify...
adolescents.tab
May 25, 2017 - Replication data and code for: Determining optimal parameters of the Self Referent Encoding Task: A large-scale examination of self-referent cognition and depression
Tabular Data - 7.2 KB - 21 Variables, 53 Observations - UNF:6:VU/NihyetA2M0fMiwx/dAw==
.Rdata file used for creating models.
adomodel-all.tab
May 25, 2017 - Replication data and code for: Determining optimal parameters of the Self Referent Encoding Task: A large-scale examination of self-referent cognition and depression
Tabular Data - 6.0 KB - 19 Variables, 53 Observations - UNF:6:PCYcoD4wK+6CiCJl26J+2A==
.Rdata file with adolescent best subsets model.
all_fullSRET.tab
May 25, 2017 - Replication data and code for: Determining optimal parameters of the Self Referent Encoding Task: A large-scale examination of self-referent cognition and depression
Tabular Data - 824.1 KB - 7 Variables, 19230 Observations - UNF:6:kmawaPt21YPL57Xy66cfTg==
.Rdata file used for internal reliability analyses.
allthreesamples.tab
May 25, 2017 - Replication data and code for: Determining optimal parameters of the Self Referent Encoding Task: A large-scale examination of self-referent cognition and depression
Tabular Data - 240.6 KB - 31 Variables, 1309 Observations - UNF:6:BLjx7F+SRVAYe+zIF/dMMw==
.Rdata file used for models and summary stats.
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