{"data":{"id":"10.6084/m9.figshare.4742935.v2","type":"dois","attributes":{"doi":"10.6084/m9.figshare.4742935.v2","prefix":"10.6084","suffix":"m9.figshare.4742935.v2","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Mathôt, Sebastiaan","nameType":"Personal","givenName":"Sebastiaan","familyName":"Mathôt","affiliation":[],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0003-3379-8584","nameIdentifierScheme":"ORCID"}]},{"name":"Grainger, Jonathan","nameType":"Personal","givenName":"Jonathan","familyName":"Grainger","affiliation":[],"nameIdentifiers":[]},{"name":"Strijkers, Kristof","nameType":"Personal","givenName":"Kristof","familyName":"Strijkers","affiliation":[],"nameIdentifiers":[]}],"titles":[{"title":"Materials for Pupillary Responses to Words That Convey a Sense of Brightness or Darkness"}],"publisher":"figshare","container":{},"publicationYear":2017,"subjects":[{"subject":"170101 Biological Psychology (Neuropsychology, Psychopharmacology, Physiological Psychology)","subjectScheme":"FOR"},{"subject":"FOS: Psychology","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Psychology","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Language"}],"contributors":[],"dates":[{"date":"2017-05-19","dateType":"Created"},{"date":"2017-05-19","dateType":"Updated"},{"date":"2017","dateType":"Issued"}],"language":null,"types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsIdenticalTo","relatedIdentifier":"10.6084/m9.figshare.4742935","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":["786829675 Bytes"],"formats":[],"version":null,"rightsList":[{"rights":"Creative Commons Attribution 4.0 International","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-4.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"Experimental resources for the study \"Semantic Pupil\"\u003cbr\u003e=====================================================\u003cbr\u003eCopyright 2015-2017 Sebastiaan Mathôt, Kristof Strijkers, JonathanGrainger\u003cbr\u003e- s.mathot@cogsci.nl- http://www.cogsci.nl/smathot\u003cbr\u003eTable of contents=================\u003cbr\u003e- About this repository- Running the experiments- Participant data- Running the analysis- License\u003cbr\u003eAbout this repository=====================\u003cbr\u003eThis repository contains materials to accompany the followingmanuscript:\u003cbr\u003eMathôt, S., Strijkers, K., \u0026amp; Grainger, J. (in press). Pupillaryresponses to words that convey a sense of brightness or darkness.*Psychological Science*.\u003cbr\u003eRunning the experiments=======================\u003cbr\u003eThe experiments are placed in the `experiments` subfoler.\u003cbr\u003eAll experiments were conducted with[OpenSesame](http://osdoc.cogsci.nl/), but not all with the sameversion.\u003cbr\u003e- visual experiment: 2.9.6 (with EyeLink plugins, which need to be installed separately)- ratings experiment: 3.0.0- auditory experiment: 3.1.0- valence-control experiment: 3.1.3\u003cbr\u003eParticipant data================\u003cbr\u003eEye-tracking data-----------------\u003cbr\u003eThe eye-tracking data for each experiment is located in`analysis/edf/[experiment name]`. This in `.edf` format, which is theformat used by the EyeLink eye tracker.\u003cbr\u003eTo run the analysis as described below, the `.edf` files need to beconverted to `.asc` files using the `edf2asc` utility that can bedownloaded for free from the SR Research forum (registration required)\u003cbr\u003eThe `.asc` files then need to be placed in a folder called`analysis/data-pupil-asc/[experiment name]`. This folder needs to becreated.\u003cbr\u003eRatings data------------\u003cbr\u003eThe ratings data is located in `analysis/data-ratings`. This in standardcomma-separated values (`.csv`) format.\u003cbr\u003eRunning the analysis====================\u003cbr\u003eBefore analyzing the data, the eye-tracking data needs to be convertedas described above.\u003cbr\u003eAnalysis scripts and participant data are placed in the `analysis`subfolder.\u003cbr\u003eIPython notebook----------------\u003cbr\u003eFor a quick example of how the analysis works, see this IPythonnotebook:\u003cbr\u003e- [analysis/basic-analysis.ipynb](analysis/basic-analysis.ipynb)\u003cbr\u003eFull analysis pathway---------------------\u003cbr\u003eThe analysis requires the standard numpy/ scipy stack, and[DataMatrix](https://github.com/smathot/python-datamatrix) and[EyelinkParser](https://github.com/smathot/python-eyelinkparser).\u003cbr\u003eFirst, parse the ratings data by running:\u003cbr\u003e python3 analyze-ratings.py\u003cbr\u003eThis will create a file called `ratings.csv`, which is used for the mainanalyses.\u003cbr\u003eNext, run the full analysis for the visual experiment:\u003cbr\u003e python3 analyze-pupil.py --auditory @full\u003cbr\u003eAnd for the auditory experiment:\u003cbr\u003e python3 analyze-pupil.py --visual @full\u003cbr\u003eAnd for the control experiment:\u003cbr\u003e python3 analyze-pupil.py --control @annotated_valence_plot\u003cbr\u003eVarious other analyses can be performed as well. The logic is that youcan execute a function in one of the analysis modules by passing`@[function name]` as argument.\u003cbr\u003eDuring the analysis, cache files are created. To start from scratch,pass the `--clear-cache` argument.\u003cbr\u003eNotes:\u003cbr\u003e- *térébrant* was misspelled and therefore removed from the analysis.- *pénombre* occurred twice in the stimulus list of the pupillometry experiment.\u003cbr\u003eLicense=======\u003cbr\u003e- Analysis and experimental code are released under a [GNU General Public License 3](https://www.gnu.org/copyleft/gpl.html).- Data and text are released under a [Creative Commons Attribution-ShareAlike 4.0 International License](http://creativecommons.org/licenses/by-sa/4.0/).\u003cbr\u003eNote: This is a frozen snapshot of the following GitHub repository:\u003cbr\u003e\u003cbr\u003e- https://github.com/smathot/semantic_pupil\u003cbr\u003e","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"xml":"<?xml version="1.0" encoding="UTF-8"?>
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  <identifier identifierType="DOI">10.6084/M9.FIGSHARE.4742935.V2</identifier>
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    <creator>
      <creatorName>Sebastiaan Mathôt</creatorName>
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      <creatorName>Kristof Strijkers</creatorName>
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  <titles>
    <title>Materials for Pupillary Responses to Words That Convey a Sense of Brightness or Darkness</title>
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  <descriptions>
    <description descriptionType="Abstract">&lt;div&gt;Experimental resources for the study "Semantic Pupil"&lt;br&gt;&lt;/div&gt;&lt;div&gt;&lt;div&gt;=====================================================&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;Copyright 2015-2017 Sebastiaan Mathôt, Kristof Strijkers, Jonathan&lt;/div&gt;&lt;div&gt;Grainger&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;-   s.mathot@cogsci.nl&lt;/div&gt;&lt;div&gt;-   http://www.cogsci.nl/smathot&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;Table of contents&lt;/div&gt;&lt;div&gt;=================&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;-   About this repository&lt;/div&gt;&lt;div&gt;-   Running the experiments&lt;/div&gt;&lt;div&gt;-   Participant data&lt;/div&gt;&lt;div&gt;-   Running the analysis&lt;/div&gt;&lt;div&gt;-   License&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;About this repository&lt;/div&gt;&lt;div&gt;=====================&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;This repository contains materials to accompany the following&lt;/div&gt;&lt;div&gt;manuscript:&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;Mathôt, S., Strijkers, K., &amp; Grainger, J. (in press). Pupillary&lt;/div&gt;&lt;div&gt;responses to words that convey a sense of brightness or darkness.&lt;/div&gt;&lt;div&gt;*Psychological Science*.&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;Running the experiments&lt;/div&gt;&lt;div&gt;=======================&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;The experiments are placed in the `experiments` subfoler.&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;All experiments were conducted with&lt;/div&gt;&lt;div&gt;[OpenSesame](http://osdoc.cogsci.nl/), but not all with the same&lt;/div&gt;&lt;div&gt;version.&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;-   visual experiment: 2.9.6 (with EyeLink plugins, which need to be&lt;/div&gt;&lt;div&gt;    installed separately)&lt;/div&gt;&lt;div&gt;-   ratings experiment: 3.0.0&lt;/div&gt;&lt;div&gt;-   auditory experiment: 3.1.0&lt;/div&gt;&lt;div&gt;-   valence-control experiment: 3.1.3&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;Participant data&lt;/div&gt;&lt;div&gt;================&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;Eye-tracking data&lt;/div&gt;&lt;div&gt;-----------------&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;The eye-tracking data for each experiment is located in&lt;/div&gt;&lt;div&gt;`analysis/edf/[experiment name]`. This in `.edf` format, which is the&lt;/div&gt;&lt;div&gt;format used by the EyeLink eye tracker.&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;To run the analysis as described below, the `.edf` files need to be&lt;/div&gt;&lt;div&gt;converted to `.asc` files using the `edf2asc` utility that can be&lt;/div&gt;&lt;div&gt;downloaded for free from the SR Research forum (registration required)&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;The `.asc` files then need to be placed in a folder called&lt;/div&gt;&lt;div&gt;`analysis/data-pupil-asc/[experiment name]`. This folder needs to be&lt;/div&gt;&lt;div&gt;created.&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;Ratings data&lt;/div&gt;&lt;div&gt;------------&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;The ratings data is located in `analysis/data-ratings`. This in standard&lt;/div&gt;&lt;div&gt;comma-separated values (`.csv`) format.&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;Running the analysis&lt;/div&gt;&lt;div&gt;====================&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;Before analyzing the data, the eye-tracking data needs to be converted&lt;/div&gt;&lt;div&gt;as described above.&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;Analysis scripts and participant data are placed in the `analysis`&lt;/div&gt;&lt;div&gt;subfolder.&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;IPython notebook&lt;/div&gt;&lt;div&gt;----------------&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;For a quick example of how the analysis works, see this IPython&lt;/div&gt;&lt;div&gt;notebook:&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;-   [analysis/basic-analysis.ipynb](analysis/basic-analysis.ipynb)&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;Full analysis pathway&lt;/div&gt;&lt;div&gt;---------------------&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;The analysis requires the standard numpy/ scipy stack, and&lt;/div&gt;&lt;div&gt;[DataMatrix](https://github.com/smathot/python-datamatrix) and&lt;/div&gt;&lt;div&gt;[EyelinkParser](https://github.com/smathot/python-eyelinkparser).&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;First, parse the ratings data by running:&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;    python3 analyze-ratings.py&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;This will create a file called `ratings.csv`, which is used for the main&lt;/div&gt;&lt;div&gt;analyses.&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;Next, run the full analysis for the visual experiment:&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;    python3 analyze-pupil.py --auditory @full&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;And for the auditory experiment:&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;    python3 analyze-pupil.py --visual @full&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;And for the control experiment:&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;    python3 analyze-pupil.py --control @annotated_valence_plot&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;Various other analyses can be performed as well. The logic is that you&lt;/div&gt;&lt;div&gt;can execute a function in one of the analysis modules by passing&lt;/div&gt;&lt;div&gt;`@[function name]` as argument.&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;During the analysis, cache files are created. To start from scratch,&lt;/div&gt;&lt;div&gt;pass the `--clear-cache` argument.&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;Notes:&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;-   *térébrant* was misspelled and therefore removed from the analysis.&lt;/div&gt;&lt;div&gt;-   *pénombre* occurred twice in the stimulus list of the&lt;/div&gt;&lt;div&gt;    pupillometry experiment.&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;License&lt;/div&gt;&lt;div&gt;=======&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;-   Analysis and experimental code are released under a [GNU General&lt;/div&gt;&lt;div&gt;    Public License 3](https://www.gnu.org/copyleft/gpl.html).&lt;/div&gt;&lt;div&gt;-   Data and text are released under a [Creative Commons&lt;/div&gt;&lt;div&gt;    Attribution-ShareAlike 4.0 International&lt;/div&gt;&lt;div&gt;    License](http://creativecommons.org/licenses/by-sa/4.0/).&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;div&gt;Note: This is a frozen snapshot of the following GitHub repository:&lt;br&gt;&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;- https://github.com/smathot/semantic_pupil&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;</description>
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    <subject>Language</subject>
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  <publisher>figshare</publisher>
  <publicationYear>2017</publicationYear>
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    <date dateType="Created">2017-05-19</date>
    <date dateType="Updated">2017-05-19</date>
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