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Part 1: Document Description
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Citation |
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Title: |
Supplementary material: "The Art of Brainwaves: A Survey on Event-Related Potential Visualization Practices" |
Identification Number: |
doi:10.18419/darus-3729 |
Distributor: |
DaRUS |
Date of Distribution: |
2023-10-20 |
Version: |
2 |
Bibliographic Citation: |
Mikheev, Vladimir; Skukies, Rene; Ehinger, Benedikt, 2023, "Supplementary material: "The Art of Brainwaves: A Survey on Event-Related Potential Visualization Practices"", https://doi.org/10.18419/darus-3729, DaRUS, V2, UNF:6:+qePfVjlqif+DUSlAZSsrw== [fileUNF] |
Citation |
|
Title: |
Supplementary material: "The Art of Brainwaves: A Survey on Event-Related Potential Visualization Practices" |
Identification Number: |
doi:10.18419/darus-3729 |
Authoring Entity: |
Mikheev, Vladimir (University of Stuttgart) |
Skukies, Rene (University of Stuttgart) |
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Ehinger, Benedikt (University of Stuttgart) |
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Grant Number: |
251654672 |
Distributor: |
DaRUS |
Access Authority: |
Mikheev, Vladimir |
Access Authority: |
Mikheev, Vladimir |
Access Authority: |
Ehinger, Benedikt |
Depositor: |
Mikheev, Vladimir |
Date of Deposit: |
2023-09-26 |
Holdings Information: |
https://doi.org/10.18419/darus-3729 |
Study Scope |
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Keywords: |
Computer and Information Science, Medicine, Health and Life Sciences, Social Sciences, Event-Related Potential, Information Visualization |
Abstract: |
<p>The purpose related to this dataset is to investigate the state of visualization in ERP (Event-Related Potential) research. The investigation was conducted through an online questionnaire administered via LimeSurvey Community Edition v5.4.7, hosted by the University of Stuttgart. The survey was designed to gather information about participants' experiences and opinions regarding ERP plotting tools, color mapping, etc.</p> <p>This dataset consists of responses collected from the online questionnaire conducted between January and July 2023. The survey attracted participants from various sources, including academic communities, social networks, and conferences. To encourage participation, the researchers offered the chance to win Muse-2 devices as an incentive. The dataset is anonymous and was ethically approved by the Ethics Committee of the University of Stuttgart. Participants were asked for informed consent, informed of their privacy rights, and allowed to withdraw from the study at any time.</p> <p>The dataset includes a total of 425 responses, with the detailed analysis focusing on the 213 responses that completed the questionnaire. It should be noted that this survey used a convenience sample and did not investigate the reasons why respondents dropped out. The survey was divided into four sections covering participant background, tool usage, color mapping awareness, and feedback. The questionnaire was designed to adapt based on respondents' previous answers, resulting in different response rates for different questions. In addition, participants were informed of the purpose of the survey, opt-out options, and opportunities to enter a drawing or receive research updates. The dataset also includes a link to a second survey for those interested in further engagement and a list of publications related to the color map perception controversy. This controversy relates to the fact that not all colormaps are suitable for scientific visualization. There are three reasons for this: 1) unnatural order - the order of colors in the colormap does not correspond to the innate sense of higher or lower; 2) perceptual change is not uniform - one color appears to change faster while another changes slower; 3) colorblind people cannot see colors in the colormap Moreland (2015).</p> |
Date of Collection: |
2023-02-09-2023-06-20 |
Unit of Analysis: |
Individuals |
Universe: |
Researcher in the field of EEG, MEG, iEEG |
Kind of Data: |
survey data |
Methodology and Processing |
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Data Collector: |
University of Stuttgart |
Sampling Procedure: |
Convention sample |
Major Deviations from the Sample Design: |
Majority of respondents are working in Europe and USA, 70% are working in fundamental research field, 70% are working with Scalp EEG, 37% are Doctoral researchers |
Mode of Data Collection: |
Online survey |
Type of Research Instrument: |
Semi-structured survey |
Sources Statement |
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Actions to Minimize Losses: |
To encourage participation, we raffled 3 Muse-2 devices (~300€/each) among those who agreed to participate. |
Response Rate: |
Of the 425 people who started the survey, 215 completed it. |
Data Access |
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Other Study Description Materials |
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Related Materials |
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<a href="https://vladdez.github.io/Survey_analyses/src/about.html">web-site with reproducable code of the project</a> |
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Related Publications |
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Citation |
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Title: |
Vladimir Mikheev, Rene Skukies, Benedikt Ehinger. The Art of Brainwaves: A Survey on Event-Related Potential Visualization Practices. Aperture Neuro. 2024;4. |
Identification Number: |
10.52294/001c.116386 |
Bibliographic Citation: |
Vladimir Mikheev, Rene Skukies, Benedikt Ehinger. The Art of Brainwaves: A Survey on Event-Related Potential Visualization Practices. Aperture Neuro. 2024;4. |
File Description--f257040 |
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File: results_survey.tab |
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Notes: |
UNF:6:+qePfVjlqif+DUSlAZSsrw== |
List of Variables: |
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Variables |
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f257040 Location: |
Summary Statistics: Mean 217.69767441860444; Max. 426.0; StDev 123.4776333152925; Valid 215.0; Min. 2.0 Variable Format: numeric Notes: UNF:6:DTfBj/g5Vfm5wN3B03tLZw== |
f257040 Location: |
Variable Format: character Notes: UNF:6:wxTaTRE/SeD2LaMLPEFM1Q== |
f257040 Location: |
Summary Statistics: StDev 0.0; Valid 215.0; Max. 12.0; Min. 12.0; Mean 12.0 Variable Format: numeric Notes: UNF:6:UHfss6g3N3EK697L+p0dWQ== |
f257040 Location: |
Variable Format: character Notes: UNF:6:j5q9jWILMiE4Ks+hwsvlqQ== |
f257040 Location: |
Summary Statistics: StDev 6.15418420231825E8; Max. 2.136540591E9; Min. 7763064.0; Valid 215.0; Mean 1.0591378602046514E9 Variable Format: numeric Notes: UNF:6:pM8KIFask+zeQgmL1ssY6A== |
f257040 Location: |
Variable Format: character Notes: UNF:6:26Yk466Gm0IEGnjGNZXmkg== |
f257040 Location: |
Variable Format: character Notes: UNF:6:mhGZMk2+V72dF7EXsITL5w== |
f257040 Location: |
Variable Format: character Notes: UNF:6:jQbxypGeID8ncIixcQOiqw== |
f257040 Location: |
Variable Format: character Notes: UNF:6:lnUegjC0JysUDcMEj9d7kQ== |
f257040 Location: |
Variable Format: character Notes: UNF:6:B7QOlQpyKolxjDqSkc6Hfg== |
G01Q021. What is your main topic (e.g. language, vision, decision making, diagnostics, passive/active BCI, etc.)? |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:mjDIHiD4c0R/TVgu3dswDQ== |
f257040 Location: |
Variable Format: character Notes: UNF:6:MGv3LUsvQeXxFPwEEst3Ag== |
f257040 Location: |
Variable Format: character Notes: UNF:6:xPNZ0JRkpbrj3gxGAFxE3A== |
G01Q04[SQ001]. What kind of data obtained by these measurement technique(s) have you used for analysis in your current or past research? [Scalp EEG] |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:uunUc/4tdZPmYyPGqrLrbg== |
G01Q04[SQ002]. What kind of data obtained by these measurement technique(s) have you used for analysis in your current or past research? [Intracranial EEG] |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:So3n+0sYxn+w6lmgSGfPmw== |
G01Q04[SQ003]. What kind of data obtained by these measurement technique(s) have you used for analysis in your current or past research? [MEG using SQUIDs] |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:aRLAgvzNU3d/ZPyp71KKrQ== |
G01Q04[SQ004]. What kind of data obtained by these measurement technique(s) have you used for analysis in your current or past research? [MEG using OPMs] |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:9O1iUP3aKKunuHQr1G6+rQ== |
G01Q04[SQ005]. What kind of data obtained by these measurement technique(s) have you used for analysis in your current or past research? [Not analysed any of them] |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:Q6eIH69R1Uir/rdj9eqR4A== |
G01Q07. How many published papers/preprints do you have, where you used EEG, MEG or iEEG analysis? |
|
f257040 Location: |
Summary Statistics: Mean 55.93953488372108; StDev 681.6187858503328; Valid 215.0; Max. 10000.0; Min. 0.0 Variable Format: numeric Notes: UNF:6:hJ8NBLxWP3PLaGiqGlV7BQ== |
G01Q06. How many years of experience with EEG, MEG, or iEEG analysis do you have? |
|
f257040 Location: |
Summary Statistics: Max. 10000.0; StDev 681.557810492761; Valid 215.0; Min. 0.0; Mean 55.204651162790874 Variable Format: numeric Notes: UNF:6:fJ7vuj9Of0XE32M2z8jtWA== |
G01Q08. What is your self-assessed level of experience with EEG, MEG, or iEEG analysis? |
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f257040 Location: |
Variable Format: character Notes: UNF:6:CxY0pT/z+yLOwT3BjVYksw== |
G01Q09. Have you ever publicly shared code/software for EEG, MEG or iEEG analysis methods, or contributed to code managed by others? |
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f257040 Location: |
Variable Format: character Notes: UNF:6:OHKI65CWCApdhlYCZ536iQ== |
f257040 Location: |
Summary Statistics: Min. 3.0; Mean 5300.94883720932; StDev 68502.89554765738; Valid 215.0; Max. 1000000.0 Variable Format: numeric Notes: UNF:6:CesAIIgenB4LBFCpBO0LWw== |
G01Q11. How many channels of those you measured do you typically analyse, after selection of task-relevant channels? |
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f257040 Location: |
Summary Statistics: Min. 1.0; StDev 68807.37160491128; Mean 5676.506976744205; Valid 215.0; Max. 1000000.0 Variable Format: numeric Notes: UNF:6:1mTS0Ls1nv4xSQJXT2Su3Q== |
G02Q01[SQ001]. Which EEG, MEG, or iEEG analysis platform have you used for ERP plotting? [ASA] |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:h5MSXHgjuZnzYAzCJ4IS2Q== |
G02Q01[SQ002]. Which EEG, MEG, or iEEG analysis platform have you used for ERP plotting? [BESA] |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:CMNpy9/A/40jsRBbiLeQ3g== |
G02Q01[SQ003]. Which EEG, MEG, or iEEG analysis platform have you used for ERP plotting? [Brainstorm] |
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f257040 Location: |
Variable Format: character Notes: UNF:6:wdPehQICjzMJa/EdDUJ/4g== |
G02Q01[SQ004]. Which EEG, MEG, or iEEG analysis platform have you used for ERP plotting? [Brain Vision Analyser] |
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f257040 Location: |
Variable Format: character Notes: UNF:6:AAbS4psjsQ5h631hbCySmQ== |
G02Q01[SQ005]. Which EEG, MEG, or iEEG analysis platform have you used for ERP plotting? [Cartool] |
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f257040 Location: |
Variable Format: character Notes: UNF:6:4ib7Z+wDxlww0UaCzoAWOA== |
G02Q01[SQ006]. Which EEG, MEG, or iEEG analysis platform have you used for ERP plotting? [Curry] |
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f257040 Location: |
Variable Format: character Notes: UNF:6:s7uADNmTezw2lKorHkCcZQ== |
G02Q01[SQ007]. Which EEG, MEG, or iEEG analysis platform have you used for ERP plotting? [EEGLAB] |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:f7Jsw4Khg2EhUK9uHeEH6A== |
G02Q01[SQ020]. Which EEG, MEG, or iEEG analysis platform have you used for ERP plotting? [EEGKit] |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:7v65XmQbP7Yvc8//4D0kIA== |
G02Q01[SQ010]. Which EEG, MEG, or iEEG analysis platform have you used for ERP plotting? [EEProbe] |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:r4lsZOZIAWtD+AqbHwBIOg== |
G02Q01[SQ022]. Which EEG, MEG, or iEEG analysis platform have you used for ERP plotting? [EEGUtils] |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:8lvjZNkLq4JZhxDFUE4Mfw== |
G02Q01[SQ009]. Which EEG, MEG, or iEEG analysis platform have you used for ERP plotting? [ERPLAB] |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:iuid7tcgTdRqHSGEGFjDKA== |
G02Q01[SQ011]. Which EEG, MEG, or iEEG analysis platform have you used for ERP plotting? [EGI Net Station] |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:53uxNbFAcUh2FloaoHaETg== |
G02Q01[SQ029]. Which EEG, MEG, or iEEG analysis platform have you used for ERP plotting? [ephyviewer] |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:N7k1pgIrzFVkvpY0vN51qg== |
G02Q01[SQ012]. Which EEG, MEG, or iEEG analysis platform have you used for ERP plotting? [ERPsystem] |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:qqK760VKrTSY5T6jXZ+MZQ== |
G02Q01[SQ026]. Which EEG, MEG, or iEEG analysis platform have you used for ERP plotting? [eVox] |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:f7AJL0kM3MZ3c1SkzsuwYQ== |
G02Q01[SQ014]. Which EEG, MEG, or iEEG analysis platform have you used for ERP plotting? [InstEP] |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:f7AJL0kM3MZ3c1SkzsuwYQ== |
G02Q01[SQ013]. Which EEG, MEG, or iEEG analysis platform have you used for ERP plotting? [FieldTrip] |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:A7X6iOpHOOXsRx0Ujgx9nQ== |
G02Q01[SQ023]. Which EEG, MEG, or iEEG analysis platform have you used for ERP plotting? [fitgrid] |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:5qCC0vMT05gcMvMZR17PPg== |
G02Q01[SQ008]. Which EEG, MEG, or iEEG analysis platform have you used for ERP plotting? [LIMO] |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:LVLoQVxUNWMMejc2qbHFaQ== |
G02Q01[SQ028]. Which EEG, MEG, or iEEG analysis platform have you used for ERP plotting? [MMVT] |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:f7AJL0kM3MZ3c1SkzsuwYQ== |
G02Q01[SQ019]. Which EEG, MEG, or iEEG analysis platform have you used for ERP plotting? [mnelab] |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:c9U4COvLwfkM1MO4olybUw== |
G02Q01[SQ015]. Which EEG, MEG, or iEEG analysis platform have you used for ERP plotting? [MNE-Python] |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:6hUjV7nViBsIq27ODTuwIw== |
G02Q01[SQ016]. Which EEG, MEG, or iEEG analysis platform have you used for ERP plotting? [Scan] |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:7dQlAfjzucwpmml83RDSIA== |
G02Q01[SQ017]. Which EEG, MEG, or iEEG analysis platform have you used for ERP plotting? [SPM ] |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:QXJHPifc1fKukQAE6aaOEA== |
G02Q01[SQ018]. Which EEG, MEG, or iEEG analysis platform have you used for ERP plotting? [Unfold] |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:/q+umjx1fsQkzTik5mgLIw== |
G02Q01[SQ027]. Which EEG, MEG, or iEEG analysis platform have you used for ERP plotting? [Custom scripts] |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:MyPVnSxOAjuzLISPB0niAg== |
G02Q01[other]. Which EEG, MEG, or iEEG analysis platform have you used for ERP plotting? [Other] |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:9ZKzJ/9YIeVpjo9s8uyIrA== |
G02Q02[SQ001]. When using an EEG, MEG, or iEEG visualization tool which features are important to you? [Combine with a custom plot created outside of the toolbox (as subplot or inset)] |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:LUAQtYX0oeUQ/MIJE5046w== |
G02Q02[SQ002]. When using an EEG, MEG, or iEEG visualization tool which features are important to you? [Flexible tweaking of plot attributes (colors, linewidths, margins etc.)] |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:qR8bKosq6MjMui28WovesQ== |
G02Q02[SQ003]. When using an EEG, MEG, or iEEG visualization tool which features are important to you? [Speed of plotting] |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:teIuV2LzqjjrQEUbVaBDNA== |
G02Q02[SQ004]. When using an EEG, MEG, or iEEG visualization tool which features are important to you? [Presentation/publication ready figures] |
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f257040 Location: |
Variable Format: character Notes: UNF:6:ILLLsJfShJGDj/KFZK4IHg== |
G02Q02[SQ005]. When using an EEG, MEG, or iEEG visualization tool which features are important to you? [Reproducibility of interactively generated or modified plots] |
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f257040 Location: |
Variable Format: character Notes: UNF:6:gWzA9MP9MgJ2KZs8sF6TEw== |
G02Q02[SQ006]. When using an EEG, MEG, or iEEG visualization tool which features are important to you? [Zooming or panning within a plot] |
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f257040 Location: |
Variable Format: character Notes: UNF:6:Iw1Z55zWYdkONYo08obAOw== |
G02Q02[SQ007]. When using an EEG, MEG, or iEEG visualization tool which features are important to you? [Interactive selection of time-ranges or electrodes e.g. via Sliders or Dropdown menus] |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:K/Fb/0gLJblsg6ZnvXXCqw== |
G02Q02[SQ008]. When using an EEG, MEG, or iEEG visualization tool which features are important to you? [Generating plots by clicking (GUI)] |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:YpjyHnU+xbcedYekqN66wQ== |
G02Q02[SQ009]. When using an EEG, MEG, or iEEG visualization tool which features are important to you? [Generating plots by coding] |
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f257040 Location: |
Variable Format: character Notes: UNF:6:91R4e78tRn8SIHdtawgWoA== |
G02Q04[SQ001]. Select the ERP visualizations that you are familiar with [] |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:6m2ZoWTCxsPzwZy0szah0Q== |
G02Q04[SQ002]. Select the ERP visualizations that you are familiar with [] |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:upCNF+PfFhjQunRyCL254A== |
G02Q04[SQ003]. Select the ERP visualizations that you are familiar with [] |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:cAwnSSEEmdMq3hx0vom3cQ== |
G02Q04[SQ004]. Select the ERP visualizations that you are familiar with [] |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:gK6N+/Vmt7QTSdOu90Xq6w== |
G02Q04[SQ005]. Select the ERP visualizations that you are familiar with [] |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:yQB6ZY1M5VcLgrurY+qTow== |
G02Q04[SQ006]. Select the ERP visualizations that you are familiar with [] |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:8izwTNUzIMqwZnrdOIETFA== |
G02Q04[SQ007]. Select the ERP visualizations that you are familiar with [] |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:a07jR3tpvXU+MdgoIs7dUw== |
G02Q04[SQ008]. Select the ERP visualizations that you are familiar with [] |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:930/QkdEU51ZdmMCFAKjwQ== |
f257040 Location: |
Variable Format: character Notes: UNF:6:Iab0DUt/fv3xIuIvMZN5Yw== |
f257040 Location: |
Variable Format: character Notes: UNF:6:SpDUtgae70aUeiHeY/OD4w== |
G03Q13[SQ003]. [Which plotting tool (EEGLab, FieldTrip, etc) or custom script (matplotlib, ggplot, Makie, etc) did you use?] |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:DUWeI6qgDq/zQnTNPGtRYQ== |
G03Q13[SQ001]. [Which parts of the plot were difficult to do?] |
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f257040 Location: |
Variable Format: character Notes: UNF:6:DPRrdjFXFF13nOPDfEQwRw== |
G03Q13[SQ002]. [What new features would you like to add to this analysis tool?] |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:wdpidEmE2/evPFhnwSZfVg== |
G03Q14. Think about your last published ERP paper/preprint/poster with this type of plot. Did this plot have error bars? |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:nbvuYUQ0LMLsOvAZRUSR2A== |
f257040 Location: |
Variable Format: character Notes: UNF:6:h79BKYl3rfJfyQZHhVCthw== |
G03Q15[other]. What did the error bars depict in your figure? [Other] |
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f257040 Location: |
Variable Format: character Notes: UNF:6:KCAet+Whxj348FLmBuPJXA== |
G03Q16. Think about the baseline period (the time before the stimulus onset). How many milliseconds would you recommend to plot? |
|
f257040 Location: |
Summary Statistics: Max. 5000.0; StDev 425.66620202045846; Mean 269.1935483870968; Min. -350.0; Valid 155.0; Variable Format: numeric Notes: UNF:6:p9vd2wqaeh17tbDAP8ZUzw== |
G03Q18. If you don't want to provide a number on previous question, please, provide a justification. |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:dp1Bu1tJ6JutpCOn6O0hcQ== |
G03Q17. In this plot, should positive voltages be plotted upwards, or downwards? |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:OdWE0qmSI6rMR/97y0hcFw== |
f257040 Location: |
Variable Format: character Notes: UNF:6:JFLcULjyQLCGyyPqMcPEOA== |
f257040 Location: |
Variable Format: character Notes: UNF:6:sxEHh9M7ZeYHCKww7KMJtw== |
G03Q23[SQ001]. [Which plotting tool (EEGLab, FieldTrip, etc) or custom script (matplotlib, ggplot, Makie, etc) did you use?] |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:wJWtfPguJzkMF7+RxnCFyA== |
G03Q23[SQ002]. [Which parts of the plot were difficult to do?] |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:j5oloizo6C9sCPDgsr5mVQ== |
G03Q23[SQ003]. [What new features would you like to add to this analysis tool?] |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:fQTB/whFyqzQI3OCDgkjYA== |
f257040 Location: |
Variable Format: character Notes: UNF:6:P8X2moiyldVfSkvsbXzcdQ== |
f257040 Location: |
Variable Format: character Notes: UNF:6:j1Xy74zHfxM9jd2rpWDR8g== |
G03Q33[SQ001]. [Which plotting tool (EEGLab, FieldTrip, etc) or custom script (matplotlib, ggplot, Makie, etc) did you use?] |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:DrvP4RO1y4Jf6v4aecdxDQ== |
G03Q33[SQ002]. [Which parts of the plot were difficult to do?] |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:65mwPKCSypaqN8hj4/AKcg== |
G03Q33[SQ003]. [What new features would you like to add to this analysis tool?] |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:9g6osCmhrbOBGdWeaxmzGg== |
f257040 Location: |
Variable Format: character Notes: UNF:6:jckwKUGVgx2Q2igDQvPkDw== |
f257040 Location: |
Variable Format: character Notes: UNF:6:cPYGshPpksuSvAbKwQ7NJg== |
G03Q43[SQ001]. [Which plotting tool (EEGLab, FieldTrip, etc) or custom script (matplotlib, ggplot, Makie, etc) did you use?] |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:3UTLnLt7nOfeq8N0Nz0hBg== |
G03Q43[SQ002]. [Which parts of the plot were difficult to do?] |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:emm2fYXxZUzArjx8z8eZfA== |
G03Q43[SQ003]. [What new features would you like to add to this analysis tool?] |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:Q/rU6FAFCvAH3McQ6fgwCA== |
G03Q44. If you see such a plot, do you think the values depicted show: |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:oeTpnnusCwYlCk0/TNVhEw== |
G03Q44[other]. If you see such a plot, do you think the values depicted show: [Other] |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:whT+1Rvv9RMJbv9AKt0SFQ== |
f257040 Location: |
Variable Format: character Notes: UNF:6:mflYZLHUWEudk4KaWPN8aw== |
f257040 Location: |
Variable Format: character Notes: UNF:6:jo4E+AxLdpqZbfkG4c280A== |
G03Q53[SQ001]. [Which plotting tool (EEGLab, FieldTrip, etc) or custom script (matplotlib, ggplot, Makie, etc) did you use?] |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:V5irzXCd+Chv5+ttdQZCmg== |
G03Q53[SQ002]. [Which parts of the plot were difficult to do?] |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:h8bumtgSE0fX/nwFQ9McJA== |
G03Q53[SQ003]. [What new features would you like to add to this analysis tool?] |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:G2BzMpw/6dH0CVYO4LI3tg== |
f257040 Location: |
Variable Format: character Notes: UNF:6:t+XbzwPIB0fU0fcR4xdP1Q== |
f257040 Location: |
Variable Format: character Notes: UNF:6:oZD0zk65M3vxR0p+3ALuww== |
G01Q63[SQ001]. [Which plotting tool (EEGLab, Fieldtrip, etc) or custom script (matplotlib, ggplot, Makie, etc) did you use?] |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:iI5+OPduLzkkw7mi7m61aw== |
G01Q63[SQ002]. [Which parts of the plot were difficult to do?] |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:btlIYilUQEkt43WgtcFeAw== |
G01Q63[SQ003]. [What new features would you like to add to this analysis tool?] |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:TM/Mzf8qrkXlEl5RURnyMA== |
f257040 Location: |
Variable Format: character Notes: UNF:6:Lu6sKV9mfef9AhALg/WNLg== |
f257040 Location: |
Variable Format: character Notes: UNF:6:uaAeDvKf9TPcs8/iIkTZPg== |
G03Q73[SQ001]. [Which plotting tool (EEGLab, FieldTrip, etc) or custom script (matplotlib, ggplot, Makie, etc) did you use?] |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:KDOzRQp+ffiuOieUHFp0CQ== |
G03Q73[SQ002]. [Which parts of the plot were difficult to do?] |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:pc4e/H32fbyzITPOHWrelQ== |
G03Q73[SQ003]. [What new features would you like to add to this analysis tool?] |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:1YHTuX1BSbCEupvjJ8MgBg== |
f257040 Location: |
Variable Format: character Notes: UNF:6:eXjgJhIjDvq8OBqyFEe/pQ== |
f257040 Location: |
Variable Format: character Notes: UNF:6:jP8h+OODOCyWUDViuvBGtg== |
G03Q83[SQ001]. [Which plotting tool (EEGLab, FieldTrip, etc) or custom script (matplotlib, ggplot, Makie, etc) did you use?] |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:gfj8nPNCTBdzUdOd/rR/tw== |
G03Q83[SQ002]. [Which parts of the plot were difficult to do?] |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:XY5Dg3dcIp6qkx0o26CwTQ== |
G03Q83[SQ003]. [What new features would you like to add to this analysis tool?] |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:lfZrPRm6Q90kJhlI36nKjg== |
G03Q91. Are you aware of the perceptual controversies of the jet (rainbow) colorbar? Example: |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:GVDXIEmDQt6UZIXUwr580A== |
G03Q92. Do you know about two-dimensional colorbars? Example: |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:R70+sE3SDgxVFQW3WDgBQQ== |
G03Q93. Would you like to use a two-dimensional colorbar in your publications, if it was easily available? |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:kEuI1scWcI+jxu6TNLPZCg== |
G12Q46. If you have any comments or suggestions on how to improve ERP plotting tools, in general or on this survey, you are highly encouraged to fill in this section. |
|
f257040 Location: |
Variable Format: character Notes: UNF:6:EmBCTV6uLoHhGb/HNSRbug== |
f257040 Location: |
Summary Statistics: Mean 1279.213488372093; Min. 81.15; StDev 1741.7507253621163; Valid 215.0; Max. 15205.2 Variable Format: numeric Notes: UNF:6:LKrIJh4+fenF+O4eZjrebw== |
f257040 Location: |
Summary Statistics: Min. 36.9; StDev 587.9308433748836; Max. 6413.63; Valid 215.0; Mean 225.05139534883725 Variable Format: numeric Notes: UNF:6:hcFLBxuely/+5DfHVXytSQ== |
f257040 Location: |
Summary Statistics: Valid 0.0; Mean NaN; StDev NaN; Max. NaN; Min. NaN; Variable Format: numeric Notes: UNF:6:p/b2HZDDtjMAwRNn0nxy5g== |
f257040 Location: |
Summary Statistics: Min. NaN; Valid 0.0; Mean NaN; Max. NaN; StDev NaN Variable Format: numeric Notes: UNF:6:p/b2HZDDtjMAwRNn0nxy5g== |
f257040 Location: |
Summary Statistics: Valid 0.0; StDev NaN; Max. NaN; Mean NaN; Min. NaN Variable Format: numeric Notes: UNF:6:p/b2HZDDtjMAwRNn0nxy5g== |
f257040 Location: |
Summary Statistics: Max. NaN; StDev NaN; Valid 0.0; Mean NaN; Min. NaN Variable Format: numeric Notes: UNF:6:p/b2HZDDtjMAwRNn0nxy5g== |
f257040 Location: |
Summary Statistics: StDev NaN; Max. NaN; Mean NaN; Min. NaN; Valid 0.0 Variable Format: numeric Notes: UNF:6:p/b2HZDDtjMAwRNn0nxy5g== |
f257040 Location: |
Summary Statistics: StDev NaN; Mean NaN; Max. NaN; Min. NaN; Valid 0.0 Variable Format: numeric Notes: UNF:6:p/b2HZDDtjMAwRNn0nxy5g== |
f257040 Location: |
Summary Statistics: Valid 0.0; Min. NaN; StDev NaN; Max. NaN; Mean NaN; Variable Format: numeric Notes: UNF:6:p/b2HZDDtjMAwRNn0nxy5g== |
f257040 Location: |
Summary Statistics: Valid 0.0; StDev NaN; Mean NaN; Max. NaN; Min. NaN; Variable Format: numeric Notes: UNF:6:p/b2HZDDtjMAwRNn0nxy5g== |
f257040 Location: |
Summary Statistics: Min. NaN; Max. NaN; StDev NaN; Mean NaN; Valid 0.0; Variable Format: numeric Notes: UNF:6:p/b2HZDDtjMAwRNn0nxy5g== |
f257040 Location: |
Summary Statistics: Valid 0.0; Min. NaN; StDev NaN; Max. NaN; Mean NaN; Variable Format: numeric Notes: UNF:6:p/b2HZDDtjMAwRNn0nxy5g== |
f257040 Location: |
Summary Statistics: Max. NaN; StDev NaN; Mean NaN; Valid 0.0; Min. NaN Variable Format: numeric Notes: UNF:6:p/b2HZDDtjMAwRNn0nxy5g== |
f257040 Location: |
Summary Statistics: Valid 215.0; Max. 3701.64; StDev 275.6874635820044; Min. 13.43; Mean 157.99548837209304 Variable Format: numeric Notes: UNF:6:r21FW9oYwtNTKEfCfnfMAg== |
f257040 Location: |
Summary Statistics: Min. NaN; Mean NaN; Max. NaN; Valid 0.0; StDev NaN Variable Format: numeric Notes: UNF:6:p/b2HZDDtjMAwRNn0nxy5g== |
f257040 Location: |
Summary Statistics: StDev NaN; Valid 0.0; Max. NaN; Min. NaN; Mean NaN Variable Format: numeric Notes: UNF:6:p/b2HZDDtjMAwRNn0nxy5g== |
f257040 Location: |
Summary Statistics: Max. NaN; Valid 0.0; Mean NaN; StDev NaN; Min. NaN; Variable Format: numeric Notes: UNF:6:p/b2HZDDtjMAwRNn0nxy5g== |
f257040 Location: |
Summary Statistics: Valid 200.0; Min. 26.03; StDev 954.0666499060508; Mean 342.94059999999996; Max. 10225.4; Variable Format: numeric Notes: UNF:6:/4wO9yzq3hf1rCPaS11f7w== |
f257040 Location: |
Summary Statistics: Max. NaN; StDev NaN; Valid 0.0; Min. NaN; Mean NaN Variable Format: numeric Notes: UNF:6:p/b2HZDDtjMAwRNn0nxy5g== |
f257040 Location: |
Summary Statistics: Valid 0.0; Max. NaN; Min. NaN; StDev NaN; Mean NaN Variable Format: numeric Notes: UNF:6:p/b2HZDDtjMAwRNn0nxy5g== |
f257040 Location: |
Summary Statistics: Mean NaN; StDev NaN; Max. NaN; Valid 0.0; Min. NaN; Variable Format: numeric Notes: UNF:6:p/b2HZDDtjMAwRNn0nxy5g== |
f257040 Location: |
Summary Statistics: Max. NaN; Mean NaN; StDev NaN; Min. NaN; Valid 0.0; Variable Format: numeric Notes: UNF:6:p/b2HZDDtjMAwRNn0nxy5g== |
f257040 Location: |
Summary Statistics: Min. NaN; Max. NaN; StDev NaN; Valid 0.0; Mean NaN Variable Format: numeric Notes: UNF:6:p/b2HZDDtjMAwRNn0nxy5g== |
f257040 Location: |
Summary Statistics: Max. NaN; Mean NaN; Valid 0.0; StDev NaN; Min. NaN Variable Format: numeric Notes: UNF:6:p/b2HZDDtjMAwRNn0nxy5g== |
f257040 Location: |
Summary Statistics: StDev NaN; Max. NaN; Min. NaN; Valid 0.0; Mean NaN Variable Format: numeric Notes: UNF:6:p/b2HZDDtjMAwRNn0nxy5g== |
f257040 Location: |
Summary Statistics: StDev NaN; Valid 0.0; Max. NaN; Min. NaN; Mean NaN Variable Format: numeric Notes: UNF:6:p/b2HZDDtjMAwRNn0nxy5g== |
f257040 Location: |
Summary Statistics: Mean 104.53364705882353; StDev 314.42417866416076; Valid 170.0; Min. 10.11; Max. 3822.4 Variable Format: numeric Notes: UNF:6:/sjIH/v4nK5xA9UyeYvkGA== |
f257040 Location: |
Summary Statistics: Min. NaN; Valid 0.0; Max. NaN; StDev NaN; Mean NaN Variable Format: numeric Notes: UNF:6:p/b2HZDDtjMAwRNn0nxy5g== |
f257040 Location: |
Summary Statistics: Max. NaN; Mean NaN; Valid 0.0; Min. NaN; StDev NaN Variable Format: numeric Notes: UNF:6:p/b2HZDDtjMAwRNn0nxy5g== |
f257040 Location: |
Summary Statistics: Valid 0.0; Max. NaN; Min. NaN; StDev NaN; Mean NaN; Variable Format: numeric Notes: UNF:6:p/b2HZDDtjMAwRNn0nxy5g== |
f257040 Location: |
Summary Statistics: Max. 987.04; Mean 89.68223958333333; StDev 107.00880518981474; Min. 8.71; Valid 192.0 Variable Format: numeric Notes: UNF:6:bH2s3k/i5mdia/Y8XHCi1A== |
f257040 Location: |
Summary Statistics: Mean NaN; Valid 0.0; StDev NaN; Max. NaN; Min. NaN Variable Format: numeric Notes: UNF:6:p/b2HZDDtjMAwRNn0nxy5g== |
f257040 Location: |
Summary Statistics: Valid 0.0; Max. NaN; Mean NaN; StDev NaN; Min. NaN Variable Format: numeric Notes: UNF:6:p/b2HZDDtjMAwRNn0nxy5g== |
f257040 Location: |
Summary Statistics: StDev NaN; Min. NaN; Valid 0.0; Mean NaN; Max. NaN Variable Format: numeric Notes: UNF:6:p/b2HZDDtjMAwRNn0nxy5g== |
f257040 Location: |
Summary Statistics: Min. 9.04; Max. 1296.07; Valid 196.0; StDev 118.79723691208521; Mean 100.32494897959184; Variable Format: numeric Notes: UNF:6:f/S4FJGuEcqMhCZbb4vy/w== |
f257040 Location: |
Summary Statistics: Max. NaN; StDev NaN; Min. NaN; Valid 0.0; Mean NaN Variable Format: numeric Notes: UNF:6:p/b2HZDDtjMAwRNn0nxy5g== |
f257040 Location: |
Summary Statistics: StDev NaN; Max. NaN; Min. NaN; Mean NaN; Valid 0.0 Variable Format: numeric Notes: UNF:6:p/b2HZDDtjMAwRNn0nxy5g== |
f257040 Location: |
Summary Statistics: Max. NaN; StDev NaN; Mean NaN; Valid 0.0; Min. NaN; Variable Format: numeric Notes: UNF:6:p/b2HZDDtjMAwRNn0nxy5g== |
f257040 Location: |
Summary Statistics: StDev NaN; Valid 0.0; Min. NaN; Max. NaN; Mean NaN Variable Format: numeric Notes: UNF:6:p/b2HZDDtjMAwRNn0nxy5g== |
f257040 Location: |
Summary Statistics: Max. 6865.0; Valid 187.0; Mean 119.64080213903743; Min. 8.64; StDev 505.7770340782251; Variable Format: numeric Notes: UNF:6:sX5EfUR7aey8G04aKmhjYw== |
f257040 Location: |
Summary Statistics: Max. NaN; Min. NaN; StDev NaN; Valid 0.0; Mean NaN Variable Format: numeric Notes: UNF:6:p/b2HZDDtjMAwRNn0nxy5g== |
f257040 Location: |
Summary Statistics: Valid 0.0; Mean NaN; StDev NaN; Min. NaN; Max. NaN Variable Format: numeric Notes: UNF:6:p/b2HZDDtjMAwRNn0nxy5g== |
f257040 Location: |
Summary Statistics: Max. NaN; Valid 0.0; StDev NaN; Min. NaN; Mean NaN Variable Format: numeric Notes: UNF:6:p/b2HZDDtjMAwRNn0nxy5g== |
f257040 Location: |
Summary Statistics: Max. 8576.63; Min. 5.88; Mean 146.9465671641791; Valid 134.0; StDev 744.6241966749677 Variable Format: numeric Notes: UNF:6:mCf2E1AUkilFJDCC00jpkg== |
f257040 Location: |
Summary Statistics: Valid 0.0; Max. NaN; Mean NaN; StDev NaN; Min. NaN Variable Format: numeric Notes: UNF:6:p/b2HZDDtjMAwRNn0nxy5g== |
f257040 Location: |
Summary Statistics: StDev NaN; Max. NaN; Min. NaN; Mean NaN; Valid 0.0; Variable Format: numeric Notes: UNF:6:p/b2HZDDtjMAwRNn0nxy5g== |
f257040 Location: |
Summary Statistics: Max. NaN; StDev NaN; Valid 0.0; Mean NaN; Min. NaN Variable Format: numeric Notes: UNF:6:p/b2HZDDtjMAwRNn0nxy5g== |
f257040 Location: |
Summary Statistics: Max. 263.29; Min. 9.91; StDev 71.8222102264904; Mean 55.93727272727273; Valid 11.0; Variable Format: numeric Notes: UNF:6:ZjTqNUyAaeNx/u9dju2d8A== |
f257040 Location: |
Summary Statistics: Mean NaN; StDev NaN; Max. NaN; Min. NaN; Valid 0.0 Variable Format: numeric Notes: UNF:6:p/b2HZDDtjMAwRNn0nxy5g== |
f257040 Location: |
Summary Statistics: StDev NaN; Min. NaN; Valid 0.0; Mean NaN; Max. NaN; Variable Format: numeric Notes: UNF:6:p/b2HZDDtjMAwRNn0nxy5g== |
f257040 Location: |
Summary Statistics: Max. NaN; Mean NaN; Valid 0.0; Min. NaN; StDev NaN; Variable Format: numeric Notes: UNF:6:p/b2HZDDtjMAwRNn0nxy5g== |
f257040 Location: |
Summary Statistics: StDev 274.4664181004253; Mean 84.05696; Max. 2622.71; Valid 125.0; Min. 7.66; Variable Format: numeric Notes: UNF:6:dBEQ5+60uHEyy4Cx70JYhw== |
f257040 Location: |
Summary Statistics: Max. NaN; Mean NaN; Min. NaN; Valid 0.0; StDev NaN Variable Format: numeric Notes: UNF:6:p/b2HZDDtjMAwRNn0nxy5g== |
f257040 Location: |
Summary Statistics: Min. NaN; Max. NaN; Mean NaN; StDev NaN; Valid 0.0; Variable Format: numeric Notes: UNF:6:p/b2HZDDtjMAwRNn0nxy5g== |
f257040 Location: |
Summary Statistics: Valid 0.0; StDev NaN; Max. NaN; Mean NaN; Min. NaN Variable Format: numeric Notes: UNF:6:p/b2HZDDtjMAwRNn0nxy5g== |
f257040 Location: |
Summary Statistics: Max. 131.15; Min. 6.08; Mean 27.773116279069768; StDev 16.38464023317351; Valid 215.0 Variable Format: numeric Notes: UNF:6:H5M1JfsLT2N9sIJzX2HoHw== |
f257040 Location: |
Summary Statistics: StDev NaN; Max. NaN; Mean NaN; Valid 0.0; Min. NaN; Variable Format: numeric Notes: UNF:6:p/b2HZDDtjMAwRNn0nxy5g== |
f257040 Location: |
Summary Statistics: Valid 0.0; Min. NaN; Max. NaN; Mean NaN; StDev NaN Variable Format: numeric Notes: UNF:6:p/b2HZDDtjMAwRNn0nxy5g== |
f257040 Location: |
Summary Statistics: StDev NaN; Valid 0.0; Min. NaN; Max. NaN; Mean NaN Variable Format: numeric Notes: UNF:6:p/b2HZDDtjMAwRNn0nxy5g== |
f257040 Location: |
Summary Statistics: Max. 1797.48; StDev 147.9171873499893; Valid 215.0; Mean 47.80013953488372; Min. 2.1 Variable Format: numeric Notes: UNF:6:q87UgJ2L25bmXxxsLdx8+A== |
f257040 Location: |
Summary Statistics: Valid 0.0; Min. NaN; Max. NaN; Mean NaN; StDev NaN Variable Format: numeric Notes: UNF:6:p/b2HZDDtjMAwRNn0nxy5g== |
Label: |
aggregated_plotnames.xlsx |
Text: |
The list of aggregated names for plot types |
Notes: |
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
Label: |
HCICS-Survey - Your Experience with Visualizing ERPs.html |
Text: |
Printable HTML version of the survey (but without CSS styles) |
Notes: |
text/html |
Label: |
results_survey.xlsx |
Notes: |
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
Label: |
2d_colorbar.jpg |
Notes: |
image/png |
Label: |
parula_part_2_01.png |
Notes: |
image/png |
Label: |
plot1.jpg |
Notes: |
image/jpeg |
Label: |
plot2.jpg |
Notes: |
image/jpeg |
Label: |
plot3.jpg |
Notes: |
image/jpeg |
Label: |
plot4.jpg |
Notes: |
image/jpeg |
Label: |
plot5.jpg |
Notes: |
image/jpeg |
Label: |
plot6.jpg |
Notes: |
image/jpeg |
Label: |
plot7.jpg |
Notes: |
image/jpeg |
Label: |
plot8.jpg |
Notes: |
image/jpeg |
Label: |
s-ccs-1.jpg |
Notes: |
image/jpeg |
Label: |
s-ccs-8.jpg |
Notes: |
image/jpeg |