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Dataset supporting the University of Southampton Doctoral Thesis 'Relationships between associative and non-associative inhibition in feature negative and extinction preparations'

Dataset supporting the University of Southampton Doctoral Thesis 'Relationships between associative and non-associative inhibition in feature negative and extinction preparations'
Dataset supporting the University of Southampton Doctoral Thesis 'Relationships between associative and non-associative inhibition in feature negative and extinction preparations'
Dataset supporting the University of Southampton Doctoral Thesis 'Relationships between associative and non-associative inhibition in feature negative and extinction preparations'. The data was collected across five related studies: Conditioned Inhibition Study 1 - lab based data collection, the data was processed and analysed using R. ERGO number: 31873.A1 Super Extinction Study 1 - lab based data collection, the data was processed and analysed using R. ERGO number: 47899 Conditioned Inhibition and Super Extinction Pilot Study - lab based data collection, the data was processed and analysed using R. ERGO number: 31873.A2/31873.A3 Super Extinction Study 2 - online data collection, the data was processed and analysed using R. ERGO number: 47899.A1 Conditioned Inhibition Study 2 - online data collection, the data was processed and analysed using R. ERGO number: 65334 The data includes: Conditioned_Inhibition_Study_1.zip Super_Extinction_Study_1.zip Conditioned_Inhibition_Super_Extinction_Polit_Study.zip Super_Extinction_Study_2.zip Conditioned_Inhibition_Study_2.zip Data is accessible under CC BY license. Related projects/Funders: ESRC - funded, SCDTP, ES/P000673/1
University of Southampton
Brudan, Ovidiu-Ionut
181623dc-85bf-4516-8383-c39a7a929464
Glautier, Steven
964468b2-3ad7-40cc-b4be-e35c7dee518f
Eisenbarth, Hedwig
b582defd-faa3-41d3-9ccc-9f5978f5d110
Brudan, Ovidiu-Ionut
181623dc-85bf-4516-8383-c39a7a929464
Glautier, Steven
964468b2-3ad7-40cc-b4be-e35c7dee518f
Eisenbarth, Hedwig
b582defd-faa3-41d3-9ccc-9f5978f5d110

Brudan, Ovidiu-Ionut (2024) Dataset supporting the University of Southampton Doctoral Thesis 'Relationships between associative and non-associative inhibition in feature negative and extinction preparations'. University of Southampton doi:10.5258/SOTON/D3103 [Dataset]

Record type: Dataset

Abstract

Dataset supporting the University of Southampton Doctoral Thesis 'Relationships between associative and non-associative inhibition in feature negative and extinction preparations'. The data was collected across five related studies: Conditioned Inhibition Study 1 - lab based data collection, the data was processed and analysed using R. ERGO number: 31873.A1 Super Extinction Study 1 - lab based data collection, the data was processed and analysed using R. ERGO number: 47899 Conditioned Inhibition and Super Extinction Pilot Study - lab based data collection, the data was processed and analysed using R. ERGO number: 31873.A2/31873.A3 Super Extinction Study 2 - online data collection, the data was processed and analysed using R. ERGO number: 47899.A1 Conditioned Inhibition Study 2 - online data collection, the data was processed and analysed using R. ERGO number: 65334 The data includes: Conditioned_Inhibition_Study_1.zip Super_Extinction_Study_1.zip Conditioned_Inhibition_Super_Extinction_Polit_Study.zip Super_Extinction_Study_2.zip Conditioned_Inhibition_Study_2.zip Data is accessible under CC BY license. Related projects/Funders: ESRC - funded, SCDTP, ES/P000673/1

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D3103-ReadMe.txt - Text
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Conditioned_Inhibition_Study_1.zip - Collection
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Super_Extinction_Study_1.zip - Collection
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Conditioned_Inhibition_Super_Extinction_Polit_Study.zip - Collection
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Super_Extinction_Study_2.zip - Collection
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Published date: 2024

Identifiers

Local EPrints ID: 490978
URI: http://eprints.soton.ac.uk/id/eprint/490978
PURE UUID: 11503e05-b291-4f4a-bdf4-521cf037ced5
ORCID for Steven Glautier: ORCID iD orcid.org/0000-0001-8852-3268

Catalogue record

Date deposited: 10 Jun 2024 17:12
Last modified: 12 Jun 2024 01:35

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Contributors

Research team head: Steven Glautier ORCID iD
Research team head: Hedwig Eisenbarth

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