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Part 1: Document Description
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Citation |
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Title: |
Related Data for: Machine Learning Estimation of users' Implicit and Explicit Aesthetic Judgments of Web-Pages |
Identification Number: |
doi:10.21979/N9/YCDXNE |
Distributor: |
DR-NTU (Data) |
Date of Distribution: |
2019-07-15 |
Version: |
2 |
Bibliographic Citation: |
Esposito, Gianluca; Gabrieli, Giulio, 2019, "Related Data for: Machine Learning Estimation of users' Implicit and Explicit Aesthetic Judgments of Web-Pages", https://doi.org/10.21979/N9/YCDXNE, DR-NTU (Data), V2, UNF:6:OXjgBp2o1P5HHQM/zPdxYA== [fileUNF] |
Citation |
|
Title: |
Related Data for: Machine Learning Estimation of users' Implicit and Explicit Aesthetic Judgments of Web-Pages |
Identification Number: |
doi:10.21979/N9/YCDXNE |
Authoring Entity: |
Esposito, Gianluca (Nanyang Technological University) |
Gabrieli, Giulio (Nanyang Technological University) |
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Software used in Production: |
Python |
Distributor: |
DR-NTU (Data) |
Access Authority: |
Esposito, Gianluca |
Depositor: |
Esposito, Gianluca |
Date of Deposit: |
2019-01-23 |
Holdings Information: |
https://doi.org/10.21979/N9/YCDXNE |
Study Scope |
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Keywords: |
Arts and Humanities, Computer and Information Science, Social Sciences, Arts and Humanities, Computer and Information Science, Social Sciences, Website Aesthetics, Human Computer Interaction, Physiological Data |
Abstract: |
The aesthetic appearance of websites can influence the perception of their usability, reliability, and trustworthiness. Several studies investigated the relationship between single aesthetic features and explicit aesthetic judgments, demonstrating the existence of attribution bias. However, only a limited amount of studies focused on the interaction between multiple visual properties and have considered not only explicit ratings but also implicit judgments. In this work, we investigate the differences between explicit and implicit judgments of web pages. Our approach, based on the analysis of physiological signals, uses machine learning and neural network models to estimate users' implicit aesthetic pleasure. Young adults (\textit{N}=59, 33 females, Mean age = 21.52 years) assessed the aesthetic appeal of websites and emotional pictures while their physiological activity was recorded. Results demonstrate a moderate association between the visual properties of web pages and both implicit and explicit ratings. |
Country: |
Italy |
Geographic Coverage: |
Rovereto, Trento, Affiliative Behaviour and Physiology Lab |
Unit of Analysis: |
Individuals |
Universe: |
Young adults residing in Italy. |
Kind of Data: |
Physiological Data |
Kind of Data: |
ECG |
Kind of Data: |
GSR |
Kind of Data: |
Behavioral Data |
Kind of Data: |
EMG |
Kind of Data: |
Pupillometry |
Methodology and Processing |
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Time Method: |
Single laboratory session |
Data Collector: |
Gabrieli Giulio |
Sampling Procedure: |
Participants were recruited on online social media and printer brochures. |
Major Deviations from the Sample Design: |
Female = 33, Male = 25, Mean age: 21.4 SD 2.2). |
Mode of Data Collection: |
Questionnaire on browsing habits, physiological measures (ECG, EMG, EDA; collected using a Bitalino Revolution BT Board), pupillometry measures (Tobii x-120) |
Type of Research Instrument: |
Structured |
Sources Statement |
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Data Access |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Identification Number: |
10.1080/0144929X.2021.2023635 |
Bibliographic Citation: |
Gabrieli, G., Bornstein, M. H., Setoh, P., & Esposito, G. (2022). Machine learning estimation of users’ implicit and explicit aesthetic judgments of web-pages. Behaviour & Information Technology, 1-11. |
Citation |
|
Identification Number: |
10356/155128 |
Bibliographic Citation: |
Gabrieli, G., Bornstein, M. H., Setoh, P., & Esposito, G. (2022). Machine learning estimation of users’ implicit and explicit aesthetic judgments of web-pages. Behaviour & Information Technology, 1-11. |
File Description--f45023 |
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File: physioDB.tab |
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Notes: |
UNF:6:OXjgBp2o1P5HHQM/zPdxYA== |
List of Variables: |
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Variables |
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f45023 Location: |
Variable Format: character Notes: UNF:6:cyaMB3Jh+Fg+MQzKI7dCFg== |
f45023 Location: |
Variable Format: character Notes: UNF:6:tkRGaJ/oAiOCBvP4iBw8Jw== |
f45023 Location: |
Variable Format: character Notes: UNF:6:JuYF5U/0C42NrWeEB5RKDg== |
f45023 Location: |
Summary Statistics: StDev 1.8120003646920169; Valid 8530.0; Max. 35.21000003814697; Mean 2.178330024018238; Min. -1.3500001430511475; Variable Format: numeric Notes: UNF:6:2MpIlEsAw/1etO+PfvXENw== |
f45023 Location: |
Summary Statistics: Valid 8530.0; StDev 1.3256945313514281; Max. 5.0; Mean 2.8602579132473656; Min. 1.0 Variable Format: numeric Notes: UNF:6:eQafgdDc/QZXgFD+3BdxfQ== |
f45023 Location: |
Summary Statistics: Valid 7256.0; Max. 305320.445875; Min. 456.390780629; StDev 61917.503450367; Mean 70460.0236562455 Variable Format: numeric Notes: UNF:6:mX01dK+Pymqgf22/q4uxLg== |
f45023 Location: |
Summary Statistics: StDev 8.389436465983618; Min. 57.0; Valid 7256.0; Mean 75.81367144432195; Max. 105.0; Variable Format: numeric Notes: UNF:6:iZ3yMpIedwh8+TWphdMvlg== |
f45023 Location: |
Summary Statistics: Mean 6.418883331723201E-5; StDev 4.2056467803053434E-4; Min. 1.92620115391E-8; Max. 0.00671331227146; Valid 7256.0; Variable Format: numeric Notes: UNF:6:ARWcAKRjHEiRmg8bIZlGxw== |
f45023 Location: |
Summary Statistics: Max. 0.0013253333673; StDev 7.543203893412137E-5; Mean 9.722000240746135E-6; Valid 7256.0; Min. 7.36494348599E-10; Variable Format: numeric Notes: UNF:6:EXttQhaagY6+7I9g+NpbDQ== |
f45023 Location: |
Summary Statistics: StDev 2.448590349875571E-35; Mean 4.9867845759492146E-36; Valid 7256.0; Max. 2.17378511043E-34; Min. 1.45648452044E-41 Variable Format: numeric Notes: UNF:6:N3FoA5+Pitwbob20DXTBog== |
f45023 Location: |
Summary Statistics: StDev 98.83639324796418; Valid 7256.0; Max. 475.347480797; Min. 18.7883960606; Mean 184.97217044725267 Variable Format: numeric Notes: UNF:6:mV4+RzWF+R1sGSQVwwK/kg== |
f45023 Location: |
Summary Statistics: Valid 7256.0; Mean 805.2387525598093; Max. 1072.55555556; Min. 563.911764706; StDev 87.64151344383424 Variable Format: numeric Notes: UNF:6:O8cyhXa+8DSI9ih1WBo8NA== |
f45023 Location: |
Summary Statistics: StDev 0.10703448030220726; Mean 0.38723597382517316; Min. 0.06060606060606061; Max. 0.5789473684210527; Valid 7256.0; Variable Format: numeric Notes: UNF:6:T7uMb05kpYMwWFh7K5/n5w== |
f45023 Location: |
Summary Statistics: Min. 0.0; Mean 0.27732639534436954; Max. 0.5263157894736842; Valid 7256.0; StDev 0.13396262723888225 Variable Format: numeric Notes: UNF:6:7fg2qzVoPAKzFL13/iXLjQ== |
f45023 Location: |
Summary Statistics: StDev 4.2056467803053434E-4; Min. 1.92620115391E-8; Mean 6.418883331723201E-5; Valid 7256.0; Max. 0.00671331227146; Variable Format: numeric Notes: UNF:6:ARWcAKRjHEiRmg8bIZlGxw== |
f45023 Location: |
Summary Statistics: Min. 7.36494348599E-10; StDev 7.543203893412137E-5; Mean 9.722000240746135E-6; Max. 0.0013253333673; Valid 7256.0 Variable Format: numeric Notes: UNF:6:EXttQhaagY6+7I9g+NpbDQ== |
f45023 Location: |
Summary Statistics: Valid 7256.0; Max. 2.17378511043E-34; Min. 1.45648452044E-41; StDev 2.448590349875571E-35; Mean 4.9867845759492146E-36; Variable Format: numeric Notes: UNF:6:N3FoA5+Pitwbob20DXTBog== |
f45023 Location: |
Summary Statistics: Mean 140.36558322265853; StDev 65.28274916144824; Min. 28.5030889374; Max. 301.561251172; Valid 7256.0 Variable Format: numeric Notes: UNF:6:q64zusxyT0/iFX7CkpMJvQ== |
f45023 Location: |
Summary Statistics: Min. 0.0; StDev 53736.49272683684; Valid 7256.0; Max. 641519.235424; Mean 39720.70777825451; Variable Format: numeric Notes: UNF:6:i4Mdbi7C65obiXy+aWacJA== |
f45023 Location: |
Summary Statistics: Valid 7256.0; StDev 9.61830657017654; Mean 76.01142399424708; Min. 37.5; Max. 120.0 Variable Format: numeric Notes: UNF:6:6csOM38WowrALEBS6qQLrQ== |
f45023 Location: |
Summary Statistics: Valid 7256.0; Mean 1.9670471415562033E-5; StDev 1.598106119591096E-4; Max. 0.00557679038596; Min. 0.0; Variable Format: numeric Notes: UNF:6:aLKJj+efbTtcEj3dVAYHpA== |
f45023 Location: |
Summary Statistics: Max. 1.01616089059E-33; Mean 3.0010964135336775E-36; Min. 0.0; StDev 2.451028446351588E-35; Valid 7256.0; Variable Format: numeric Notes: UNF:6:fJJlR176oKEJMg1X2Ld4/Q== |
f45023 Location: |
Summary Statistics: Min. 0.0; Valid 7256.0; Max. 0.0; StDev 0.0; Mean 0.0 Variable Format: numeric Notes: UNF:6:UKrdDUZT2mMT0VuV5QfbXQ== |
f45023 Location: |
Summary Statistics: Min. 0.0; Max. 697.465762454; Valid 7256.0; Mean 138.41625723164398; StDev 106.00613629743926 Variable Format: numeric Notes: UNF:6:sicry9hs59t7+913BM3D8A== |
f45023 Location: |
Summary Statistics: Mean 813.2293658587994; StDev 103.51067003116596; Valid 7256.0; Min. 516.571428571; Max. 1677.75 Variable Format: numeric Notes: UNF:6:B1rfQ7jp/lD2h8mfbwbhcQ== |
f45023 Location: |
Summary Statistics: Min. 0.0; StDev 0.15691520111926618; Max. 0.875; Valid 7256.0; Mean 0.3744060836260398 Variable Format: numeric Notes: UNF:6:fitt5X/CRmv3Zrsq3+XQaQ== |
f45023 Location: |
Summary Statistics: Min. 0.0; Max. 0.8571428571428571; StDev 0.17058697708574805; Valid 7256.0; Mean 0.24923078957671035; Variable Format: numeric Notes: UNF:6:A7Jhwo8nmxzsTNBHyDIENg== |
f45023 Location: |
Summary Statistics: Valid 7256.0; Min. 0.0; Max. 0.00557679038596; StDev 1.598106119591096E-4; Mean 1.9670471415562033E-5 Variable Format: numeric Notes: UNF:6:aLKJj+efbTtcEj3dVAYHpA== |
f45023 Location: |
Summary Statistics: StDev 2.451028446351588E-35; Max. 1.01616089059E-33; Valid 7256.0; Mean 3.0010964135336775E-36; Min. 0.0 Variable Format: numeric Notes: UNF:6:fJJlR176oKEJMg1X2Ld4/Q== |
f45023 Location: |
Summary Statistics: Max. 0.0; Valid 7256.0; Mean 0.0; Min. 0.0; StDev 0.0 Variable Format: numeric Notes: UNF:6:UKrdDUZT2mMT0VuV5QfbXQ== |
f45023 Location: |
Summary Statistics: Min. 3.26598632371; StDev 70.43332181135155; Valid 7256.0; Max. 578.679261336; Mean 105.46309668544724 Variable Format: numeric Notes: UNF:6:Aco9RWJsR2yP5HdNoFiFzA== |
f45023 Location: |
Summary Statistics: Mean 1.9479396488677156E-6; Max. 0.00438952846636; StDev 5.9843245044857E-5; Min. 9.33725147546E-21; Valid 7257.0; Variable Format: numeric Notes: UNF:6:PFGwP3XDIf7TeA1gDgLwYA== |
f45023 Location: |
Summary Statistics: Valid 7257.0; Min. 7.8125; Max. 74.21875; Mean 45.97123897616107; StDev 8.142087950227667 Variable Format: numeric Notes: UNF:6:2n4GpfLJeo+6WlURlsKTuw== |
f45023 Location: |
Summary Statistics: StDev 5.2166765833890825; Mean 51.65379116714898; Valid 7257.0; Min. 11.71875; Max. 70.3125 Variable Format: numeric Notes: UNF:6:DH+qvHAZ4E4iESG644KilQ== |
f45023 Location: |
Summary Statistics: Valid 7257.0; StDev 0.0017522368152660128; Mean 8.122421981855424E-5; Max. 0.0994585881429; Min. 3.6742151299E-13; Variable Format: numeric Notes: UNF:6:R0ddRguSzE7GPDVtWvepqg== |
f45023 Location: |
Summary Statistics: Mean 49.411380107139124; Min. 12.3786314003; Max. 75.1314636467; Valid 7257.0; StDev 5.122192624689017 Variable Format: numeric Notes: UNF:6:WvsQciSNjl9WTjzuXM959w== |
f45023 Location: |
Summary Statistics: StDev 2.6556210641242317E-5; Min. 3.24027846355E-9; Valid 7257.0; Mean 2.2869172450318076E-6; Max. 0.00126149621907; Variable Format: numeric Notes: UNF:6:n1PC+3i9AKSfAOxEr0nihg== |
f45023 Location: |
Summary Statistics: Min. 263.162060283; StDev 79845.10844466562; Valid 7257.0; Max. 936343.678293; Mean 33458.815639470784; Variable Format: numeric Notes: UNF:6:9q+9ZZtgxVY5Hz2HcJXWZA== |
f45023 Location: |
Summary Statistics: Mean 0.7667293919102107; Min. 0.396111200652; StDev 0.13220009075463848; Valid 7257.0; Max. 2.04720322196 Variable Format: numeric Notes: UNF:6:8BkNkARm1SeceFhMzOSxyw== |
f45023 Location: |
Summary Statistics: Max. 0.16273301226; Min. 4.17995921798E-7; StDev 0.003425751172719836; Valid 7257.0; Mean 2.950123246090874E-4; Variable Format: numeric Notes: UNF:6:Xr03YlbkbRuFlX6RFhL/3A== |
f45023 Location: |
Summary Statistics: Max. 3.04004839782; StDev 0.09102071840809968; Valid 7257.0; Min. 2.13541870931E-5; Mean 0.010945218674598994 Variable Format: numeric Notes: UNF:6:tfQtaoUTDCHomYY7BoWNMw== |
f45023 Location: |
Summary Statistics: Max. -153.138521731; Min. -5644.73667877; Valid 7257.0; StDev 510.40962060204447; Mean -2467.714067071522; Variable Format: numeric Notes: UNF:6:+d1vI0Q01qtJc4s0b1Vn2A== |
f45023 Location: |
Summary Statistics: Min. -0.00517706368843; StDev 0.004969836612511152; Max. 0.118433331232; Valid 7257.0; Mean 0.0026274646904458545 Variable Format: numeric Notes: UNF:6:Io/gb4VBcdLoyEva2qzx8w== |
f45023 Location: |
Summary Statistics: Max. 0.0272114548574; StDev 5.029461919999191E-4; Mean 2.2809286112969774E-5; Min. 2.36024682147E-13; Valid 7257.0; Variable Format: numeric Notes: UNF:6:JYm8K0TPYMVBu1ixfXO21Q== |
f45023 Location: |
Summary Statistics: Max. 0.262286610242; Mean 0.005268150160900769; Valid 7257.0; StDev 0.010174722864342622; Min. 4.23086084485E-4 Variable Format: numeric Notes: UNF:6:Y7BDmO4Hi9aOa4ali26myA== |
f45023 Location: |
Summary Statistics: Max. 0.00351164655172; StDev 7.301578218261394E-5; Mean 3.6392430359817004E-6; Min. 3.29889521289E-13; Valid 7257.0 Variable Format: numeric Notes: UNF:6:VQaUgcgorhGBOstqAvNImw== |
f45023 Location: |
Summary Statistics: Min. 0.0; Mean 75.99173212071089; StDev 122.29403601014235; Max. 413.0; Valid 7257.0; Variable Format: numeric Notes: UNF:6:h4u4UcbgaY8+IVlJ6b3RvQ== |
f45023 Location: |
Summary Statistics: Max. 366.306981285; Valid 7257.0; Min. 1.22962820959; StDev 20.327531997096767; Mean 12.945654151689467 Variable Format: numeric Notes: UNF:6:sPlmgV07rSc9KqJEavY0LQ== |
f45023 Location: |
Summary Statistics: Mean 1.0053362565394572; Valid 7257.0; Min. 1.0004231755980262; Max. 1.29989905342596; StDev 0.010889708322191247; Variable Format: numeric Notes: UNF:6:0pbghnrO111BpDViOElQ6A== |
f45023 Location: |
Summary Statistics: Valid 7257.0; Max. 0.328615533095; StDev 0.012405354318491704; Mean 0.00657924427304406; Min. 5.29343191509E-4; Variable Format: numeric Notes: UNF:6:BbD9JN6S2RsWfqdWzCa8+Q== |
f45023 Location: |
Summary Statistics: Max. 863.905348732; Min. 0.00224163371517; Valid 7257.0; StDev 18.356757083443526; Mean 1.5771743248187797; Variable Format: numeric Notes: UNF:6:Xq0uy8tY0gGj/yddrOCSJg== |
f45023 Location: |
Summary Statistics: StDev 1.44195682470347E-4; Max. 0.00581930063874; Valid 7257.0; Mean 6.291607562195705E-6; Min. 5.0712577567E-19 Variable Format: numeric Notes: UNF:6:Fs1M+WlURd7lWkC+WSj9Ig== |
f45023 Location: |
Summary Statistics: StDev 0.0022948806174956115; Min. 2.80239244302E-7; Valid 7257.0; Mean 1.9718271671065985E-4; Max. 0.1080016688 Variable Format: numeric Notes: UNF:6:eMW/WjwWXfg+IXbwJRr+KQ== |
f45023 Location: |
Summary Statistics: StDev 0.21426787298853361; Valid 7257.0; Max. 0.985; Mean 0.1140120121024288; Min. 0.0 Variable Format: numeric Notes: UNF:6:A9qLPweZYgw8CHTjEWf8ng== |
f45023 Location: |
Summary Statistics: StDev 236.4786546957427; Min. 0.0; Valid 7257.0; Mean 139.84222130356926; Max. 801.0 Variable Format: numeric Notes: UNF:6:u6KigT3sEqg3WFiPOGURHg== |
f45023 Location: |
Summary Statistics: Max. 1.0; Mean 0.26859576202810664; StDev 0.23219442790861405; Min. -0.394517520926; Valid 7257.0 Variable Format: numeric Notes: UNF:6:USNZG40fOq8AM+yVLM5viw== |
f45023 Location: |
Summary Statistics: Valid 7257.0; Max. 0.190575702034; StDev 0.007580382312570612; Min. 3.10888272946E-4; Mean 0.003947392002804037 Variable Format: numeric Notes: UNF:6:vvatmFjhG66MNfJn8+ddfA== |
f45023 Location: |
Summary Statistics: StDev 0.0025407596857498094; Valid 7257.0; Min. 1.53703526198E-4; Max. 0.0457883726607; Mean 0.0016188341102200449 Variable Format: numeric Notes: UNF:6:d1Ywd4AU24J8pJi+3wciOg== |
f45023 Location: |
Summary Statistics: Mean 1.3160252400948858E-5; Min. 3.71699471602E-8; Valid 7257.0; Max. 0.00265926002361; StDev 1.0194019684661601E-4 Variable Format: numeric Notes: UNF:6:P2DpVugh8drxA8g7eoaWtg== |
f45023 Location: |
Summary Statistics: Min. 3.38468867588; Valid 7257.0; Max. 2098.29288193; StDev 81.40179112282509; Mean 42.12992809515079 Variable Format: numeric Notes: UNF:6:kAPDLumChjl6aHRq3Bttdw== |
f45023 Location: |
Summary Statistics: Valid 7257.0; Min. 0.0; Mean 68.5557392862059; StDev 361.5522953216886; Max. 3588.0; Variable Format: numeric Notes: UNF:6:pWnbhCLE74DKrM0YAlT7Sg== |
f45023 Location: |
Summary Statistics: Valid 1727.0; Max. 6.6; StDev 0.653424118826322; Min. 0.2; Mean 1.1973943254198032; Variable Format: numeric Notes: UNF:6:WdPWl/Uuf6nZ/IdE+WQ7Sw== |
f45023 Location: |
Summary Statistics: Max. 0.7828376447551799; StDev 0.058754974840500976; Valid 1727.0; Min. 2.518923693912989E-6; Mean 0.034528448481990166 Variable Format: numeric Notes: UNF:6:1lRTNkf4+QzAjoC/mKa3HQ== |
f45023 Location: |
Summary Statistics: StDev 0.1175099496810223; Min. 5.03784738783E-6; Max. 1.56567528951; Mean 0.06905689696398132; Valid 1727.0 Variable Format: numeric Notes: UNF:6:q1rC3FfbMmXkVvuw8sPF+Q== |
f45023 Location: |
Summary Statistics: Min. 0.1; Mean 1.0821077012159814; Max. 6.8; Valid 1727.0; StDev 0.786913948265157 Variable Format: numeric Notes: UNF:6:3Dl2xJ6XhV5FXvFhPxH/vA== |
f45023 Location: |
Summary Statistics: Min. 0.0; Max. 7.5; Mean 1.4746381007527505; StDev 1.5926338891880116; Valid 1727.0 Variable Format: numeric Notes: UNF:6:YcKk1lXQO7fgto2MEc8sjQ== |
f45023 Location: |
Summary Statistics: Max. 75.0; StDev 16.718882486223265; Mean 18.21482339316735; Min. 0.0; Valid 1727.0 Variable Format: numeric Notes: UNF:6:Y7sK5KefByXolsGu6Fmd2g== |
f45023 Location: |
Summary Statistics: Min. 0.0100069514313; Max. 2.04866297857; StDev 0.15038526853197853; Valid 1727.0; Mean 0.09058285613861292 Variable Format: numeric Notes: UNF:6:RwQI/E+GwqmHBpISNZv1TA== |
f45023 Location: |
Summary Statistics: StDev 16.507149155383413; Valid 1727.0; Mean 37.54140127388535; Max. 78.0; Min. 5.0 Variable Format: numeric Notes: UNF:6:pOpYeoCCK5RIj9Gjo8vBEw== |
f45023 Location: |
Summary Statistics: Mean 2.2795020266357846; Valid 1727.0; Max. 7.5; Min. 0.3; StDev 0.9643213296064796; Variable Format: numeric Notes: UNF:6:8KGY46xVDv98zHVzkWKm3Q== |
f45023 Location: |
Summary Statistics: Max. 3.56952430725; Mean 0.9411512022840175; Valid 6442.0; StDev 0.6233683621973402; Min. -1.0; Variable Format: numeric Notes: UNF:6:q3NZoiA2JdhOqTx2wE/Xxg== |
f45023 Location: |
Summary Statistics: Valid 6442.0; Min. 0.0; Max. 3.83156884901; StDev 0.6496763070622955; Mean 2.69348019523768 Variable Format: numeric Notes: UNF:6:XDNqZXuadYLpqVmkdBaybQ== |
f45023 Location: |
Summary Statistics: Max. 3.60039531111; StDev 0.6683898620888975; Valid 6436.0; Min. -1.0; Mean 0.8311684614740056; Variable Format: numeric Notes: UNF:6:pIxKdZ32XjpovSyL1fk+0Q== |
f45023 Location: |
Summary Statistics: StDev 0.7119861810222844; Min. 0.0; Max. 3.82073849435; Mean 2.6283105338504833; Valid 6436.0 Variable Format: numeric Notes: UNF:6:q1PtF6ZGgT9F6fAR0QhVCw== |
f45023 Location: |
Summary Statistics: Min. -1.0; StDev 0.4794492143783571; Mean 0.6566659001563995; Valid 6448.0; Max. 4.75926971436; Variable Format: numeric Notes: UNF:6:ZVJlQiM+MzjeaXhkSaaq/g== |
f45023 Location: |
Summary Statistics: StDev 0.5244115060094969; Mean 2.2964998879498966; Valid 6448.0; Max. 3.68891697574; Min. 0.0; Variable Format: numeric Notes: UNF:6:aBVG1egI8HAzhzD7Sxiotg== |
f45023 Location: |
Summary Statistics: Min. -1.0; Max. 3.31808613622; Mean 0.5969411119429247; StDev 0.5237364434900836; Valid 6447.0 Variable Format: numeric Notes: UNF:6:k2mMhxcuGxu0bStFT2YVew== |
f45023 Location: |
Summary Statistics: Valid 6447.0; Max. 3.67138615656; Mean 2.2682006866359252; StDev 0.59479269742161; Min. 0.0 Variable Format: numeric Notes: UNF:6:EF8mqkGeIhaKuc84PjHCsA== |
Label: |
ElasticNetExplicit.joblib |
Text: |
Trained model |
Notes: |
application/octet-stream |
Label: |
ElasticNetImplicit.joblib |
Text: |
Trained model |
Notes: |
application/octet-stream |
Label: |
Explicit.py |
Text: |
HPC Script for training and testing of the Lasso and ElasticNet models |
Notes: |
text/x-python |
Label: |
Implicit.py |
Text: |
HPC Script for training and testing of the Lasso and ElasticNet models |
Notes: |
text/x-python |
Label: |
LassoExplicit.joblib |
Text: |
Trained model |
Notes: |
application/octet-stream |
Label: |
LassoImplicit.joblib |
Text: |
Trained model |
Notes: |
application/octet-stream |
Label: |
MLP.joblib |
Text: |
Trained model |
Notes: |
application/octet-stream |
Label: |
MLP.py |
Text: |
HPC Script for training and testing of the MLP model |
Notes: |
text/x-python |
Label: |
outputExplicit.txt |
Text: |
HPC Output for training of explicit judgments models |
Notes: |
text/plain |
Label: |
outputImplicit.txt |
Text: |
HPC Output for training of implicit judgments models |
Notes: |
text/plain |
Label: |
outputMLP.txt |
Text: |
HPC Output for training of MLPmodel |
Notes: |
text/plain |
Label: |
PrettyWebsite_0.0.4.zip |
Text: |
This file contains the Python Package PrettyWebsite. Detailed information about the package can be found on https://prettywebsite.rtfd.io or on https://github.com/Gabrock94/PrettyWebsite. The package is released under the GNU General Public License v3.0. For more information about the license, please visit https://github.com/Gabrock94/PrettyWebsite/blob/master/LICENSE |
Notes: |
application/zip |
Label: |
Pysiology-0.0.9.2.zip |
Text: |
This file contains version 0.0.9 of the Python Package Pysiology. Detailed information about the package can be found on https://pysiology.rtfd.io or on https://github.com/Gabrock94/Pysiology/. The package is released under the GNU General Public License v3.0. For more information about the license, please visit https://github.com/Gabrock94/Pysiology/blob/master/LICENSE. |
Notes: |
application/zip |
Label: |
WA_RawData_AFS14BAG.zip |
Text: |
Each zip contains 14 files, where ID is the ID of the participants and blk is the experimental block (1 or 2). 1) ID_rating_blk.csv - This file contains participants' ratings for presented pictures, for a specific block. 2) ID_gazedata_blk.csv - This file contains participants' eye tracking data for a specific block, recorded at 120Hz. 3) ID_bitalino_blk.txt - This file contains participants' physiological data (ECG, EMG, EDA) recorded at 1k Hz. 4) ConvertedEMG_blk.pkl, ConvertedEDA_blk.pkl and ConvertedECG_blk.pkl contains the physiological data in pickle format (Python), converted from Analog to Digital. For the conversion, please see https://github.com/Gabrock94/BitalinoRevolutionConverter |
Notes: |
application/zip |
Label: |
WA_RawData_ALI26MUT.zip |
Text: |
Each zip contains 14 files, where ID is the ID of the participants and blk is the experimental block (1 or 2). 1) ID_rating_blk.csv - This file contains participants' ratings for presented pictures, for a specific block. 2) ID_gazedata_blk.csv - This file contains participants' eye tracking data for a specific block, recorded at 120Hz. 3) ID_bitalino_blk.txt - This file contains participants' physiological data (ECG, EMG, EDA) recorded at 1k Hz. 4) ConvertedEMG_blk.pkl, ConvertedEDA_blk.pkl and ConvertedECG_blk.pkl contains the physiological data in pickle format (Python), converted from Analog to Digital. For the conversion, please see https://github.com/Gabrock94/BitalinoRevolutionConverter |
Notes: |
application/zip |
Label: |
WA_RawData_AND01REN.zip |
Text: |
Each zip contains 14 files, where ID is the ID of the participants and blk is the experimental block (1 or 2). 1) ID_rating_blk.csv - This file contains participants' ratings for presented pictures, for a specific block. 2) ID_gazedata_blk.csv - This file contains participants' eye tracking data for a specific block, recorded at 120Hz. 3) ID_bitalino_blk.txt - This file contains participants' physiological data (ECG, EMG, EDA) recorded at 1k Hz. 4) ConvertedEMG_blk.pkl, ConvertedEDA_blk.pkl and ConvertedECG_blk.pkl contains the physiological data in pickle format (Python), converted from Analog to Digital. For the conversion, please see https://github.com/Gabrock94/BitalinoRevolutionConverter |
Notes: |
application/zip |
Label: |
WA_RawData_AND15BUR.zip |
Text: |
Each zip contains 14 files, where ID is the ID of the participants and blk is the experimental block (1 or 2). 1) ID_rating_blk.csv - This file contains participants' ratings for presented pictures, for a specific block. 2) ID_gazedata_blk.csv - This file contains participants' eye tracking data for a specific block, recorded at 120Hz. 3) ID_bitalino_blk.txt - This file contains participants' physiological data (ECG, EMG, EDA) recorded at 1k Hz. 4) ConvertedEMG_blk.pkl, ConvertedEDA_blk.pkl and ConvertedECG_blk.pkl contains the physiological data in pickle format (Python), converted from Analog to Digital. For the conversion, please see https://github.com/Gabrock94/BitalinoRevolutionConverter |
Notes: |
application/zip |
Label: |
WA_RawData_ARI01GRA.zip |
Text: |
Each zip contains 14 files, where ID is the ID of the participants and blk is the experimental block (1 or 2). 1) ID_rating_blk.csv - This file contains participants' ratings for presented pictures, for a specific block. 2) ID_gazedata_blk.csv - This file contains participants' eye tracking data for a specific block, recorded at 120Hz. 3) ID_bitalino_blk.txt - This file contains participants' physiological data (ECG, EMG, EDA) recorded at 1k Hz. 4) ConvertedEMG_blk.pkl, ConvertedEDA_blk.pkl and ConvertedECG_blk.pkl contains the physiological data in pickle format (Python), converted from Analog to Digital. For the conversion, please see https://github.com/Gabrock94/BitalinoRevolutionConverter |
Notes: |
application/zip |
Label: |
WA_RawData_BAR15SAN.zip |
Text: |
Each zip contains 14 files, where ID is the ID of the participants and blk is the experimental block (1 or 2). 1) ID_rating_blk.csv - This file contains participants' ratings for presented pictures, for a specific block. 2) ID_gazedata_blk.csv - This file contains participants' eye tracking data for a specific block, recorded at 120Hz. 3) ID_bitalino_blk.txt - This file contains participants' physiological data (ECG, EMG, EDA) recorded at 1k Hz. 4) ConvertedEMG_blk.pkl, ConvertedEDA_blk.pkl and ConvertedECG_blk.pkl contains the physiological data in pickle format (Python), converted from Analog to Digital. For the conversion, please see https://github.com/Gabrock94/BitalinoRevolutionConverter |
Notes: |
application/zip |
Label: |
WA_RawData_BEA05MAR.zip |
Text: |
Each zip contains 14 files, where ID is the ID of the participants and blk is the experimental block (1 or 2). 1) ID_rating_blk.csv - This file contains participants' ratings for presented pictures, for a specific block. 2) ID_gazedata_blk.csv - This file contains participants' eye tracking data for a specific block, recorded at 120Hz. 3) ID_bitalino_blk.txt - This file contains participants' physiological data (ECG, EMG, EDA) recorded at 1k Hz. 4) ConvertedEMG_blk.pkl, ConvertedEDA_blk.pkl and ConvertedECG_blk.pkl contains the physiological data in pickle format (Python), converted from Analog to Digital. For the conversion, please see https://github.com/Gabrock94/BitalinoRevolutionConverter |
Notes: |
application/zip |
Label: |
WA_RawData_BIA09PIV.zip |
Text: |
Each zip contains 14 files, where ID is the ID of the participants and blk is the experimental block (1 or 2). 1) ID_rating_blk.csv - This file contains participants' ratings for presented pictures, for a specific block. 2) ID_gazedata_blk.csv - This file contains participants' eye tracking data for a specific block, recorded at 120Hz. 3) ID_bitalino_blk.txt - This file contains participants' physiological data (ECG, EMG, EDA) recorded at 1k Hz. 4) ConvertedEMG_blk.pkl, ConvertedEDA_blk.pkl and ConvertedECG_blk.pkl contains the physiological data in pickle format (Python), converted from Analog to Digital. For the conversion, please see https://github.com/Gabrock94/BitalinoRevolutionConverter |
Notes: |
application/zip |
Label: |
WA_RawData_CAR27DEM.zip |
Text: |
Each zip contains 14 files, where ID is the ID of the participants and blk is the experimental block (1 or 2). 1) ID_rating_blk.csv - This file contains participants' ratings for presented pictures, for a specific block. 2) ID_gazedata_blk.csv - This file contains participants' eye tracking data for a specific block, recorded at 120Hz. 3) ID_bitalino_blk.txt - This file contains participants' physiological data (ECG, EMG, EDA) recorded at 1k Hz. 4) ConvertedEMG_blk.pkl, ConvertedEDA_blk.pkl and ConvertedECG_blk.pkl contains the physiological data in pickle format (Python), converted from Analog to Digital. For the conversion, please see https://github.com/Gabrock94/BitalinoRevolutionConverter |
Notes: |
application/zip |
Label: |
WA_RawData_CAT20WEG.zip |
Text: |
Each zip contains 14 files, where ID is the ID of the participants and blk is the experimental block (1 or 2). 1) ID_rating_blk.csv - This file contains participants' ratings for presented pictures, for a specific block. 2) ID_gazedata_blk.csv - This file contains participants' eye tracking data for a specific block, recorded at 120Hz. 3) ID_bitalino_blk.txt - This file contains participants' physiological data (ECG, EMG, EDA) recorded at 1k Hz. 4) ConvertedEMG_blk.pkl, ConvertedEDA_blk.pkl and ConvertedECG_blk.pkl contains the physiological data in pickle format (Python), converted from Analog to Digital. For the conversion, please see https://github.com/Gabrock94/BitalinoRevolutionConverter |
Notes: |
application/zip |
Label: |
WA_RawData_CHI13FEL.zip |
Text: |
Each zip contains 14 files, where ID is the ID of the participants and blk is the experimental block (1 or 2). 1) ID_rating_blk.csv - This file contains participants' ratings for presented pictures, for a specific block. 2) ID_gazedata_blk.csv - This file contains participants' eye tracking data for a specific block, recorded at 120Hz. 3) ID_bitalino_blk.txt - This file contains participants' physiological data (ECG, EMG, EDA) recorded at 1k Hz. 4) ConvertedEMG_blk.pkl, ConvertedEDA_blk.pkl and ConvertedECG_blk.pkl contains the physiological data in pickle format (Python), converted from Analog to Digital. For the conversion, please see https://github.com/Gabrock94/BitalinoRevolutionConverter |
Notes: |
application/zip |
Label: |
WA_RawData_DAN23ZAM.zip |
Text: |
Each zip contains 14 files, where ID is the ID of the participants and blk is the experimental block (1 or 2). 1) ID_rating_blk.csv - This file contains participants' ratings for presented pictures, for a specific block. 2) ID_gazedata_blk.csv - This file contains participants' eye tracking data for a specific block, recorded at 120Hz. 3) ID_bitalino_blk.txt - This file contains participants' physiological data (ECG, EMG, EDA) recorded at 1k Hz. 4) ConvertedEMG_blk.pkl, ConvertedEDA_blk.pkl and ConvertedECG_blk.pkl contains the physiological data in pickle format (Python), converted from Analog to Digital. For the conversion, please see https://github.com/Gabrock94/BitalinoRevolutionConverter |
Notes: |
application/zip |
Label: |
WA_RawData_DAV07ZER.zip |
Text: |
Each zip contains 14 files, where ID is the ID of the participants and blk is the experimental block (1 or 2). 1) ID_rating_blk.csv - This file contains participants' ratings for presented pictures, for a specific block. 2) ID_gazedata_blk.csv - This file contains participants' eye tracking data for a specific block, recorded at 120Hz. 3) ID_bitalino_blk.txt - This file contains participants' physiological data (ECG, EMG, EDA) recorded at 1k Hz. 4) ConvertedEMG_blk.pkl, ConvertedEDA_blk.pkl and ConvertedECG_blk.pkl contains the physiological data in pickle format (Python), converted from Analog to Digital. For the conversion, please see https://github.com/Gabrock94/BitalinoRevolutionConverter |
Notes: |
application/zip |
Label: |
WA_RawData_DAV20GIO.zip |
Text: |
Each zip contains 14 files, where ID is the ID of the participants and blk is the experimental block (1 or 2). 1) ID_rating_blk.csv - This file contains participants' ratings for presented pictures, for a specific block. 2) ID_gazedata_blk.csv - This file contains participants' eye tracking data for a specific block, recorded at 120Hz. 3) ID_bitalino_blk.txt - This file contains participants' physiological data (ECG, EMG, EDA) recorded at 1k Hz. 4) ConvertedEMG_blk.pkl, ConvertedEDA_blk.pkl and ConvertedECG_blk.pkl contains the physiological data in pickle format (Python), converted from Analog to Digital. For the conversion, please see https://github.com/Gabrock94/BitalinoRevolutionConverter |
Notes: |
application/zip |
Label: |
WA_RawData_DEN15ZOR.zip |
Text: |
Each zip contains 14 files, where ID is the ID of the participants and blk is the experimental block (1 or 2). 1) ID_rating_blk.csv - This file contains participants' ratings for presented pictures, for a specific block. 2) ID_gazedata_blk.csv - This file contains participants' eye tracking data for a specific block, recorded at 120Hz. 3) ID_bitalino_blk.txt - This file contains participants' physiological data (ECG, EMG, EDA) recorded at 1k Hz. 4) ConvertedEMG_blk.pkl, ConvertedEDA_blk.pkl and ConvertedECG_blk.pkl contains the physiological data in pickle format (Python), converted from Analog to Digital. For the conversion, please see https://github.com/Gabrock94/BitalinoRevolutionConverter |
Notes: |
application/zip |
Label: |
WA_RawData_ELE06FOC.zip |
Text: |
Each zip contains 14 files, where ID is the ID of the participants and blk is the experimental block (1 or 2). 1) ID_rating_blk.csv - This file contains participants' ratings for presented pictures, for a specific block. 2) ID_gazedata_blk.csv - This file contains participants' eye tracking data for a specific block, recorded at 120Hz. 3) ID_bitalino_blk.txt - This file contains participants' physiological data (ECG, EMG, EDA) recorded at 1k Hz. 4) ConvertedEMG_blk.pkl, ConvertedEDA_blk.pkl and ConvertedECG_blk.pkl contains the physiological data in pickle format (Python), converted from Analog to Digital. For the conversion, please see https://github.com/Gabrock94/BitalinoRevolutionConverter |
Notes: |
application/zip |
Label: |
WA_RawData_ELE08BIA.zip |
Text: |
Each zip contains 14 files, where ID is the ID of the participants and blk is the experimental block (1 or 2). 1) ID_rating_blk.csv - This file contains participants' ratings for presented pictures, for a specific block. 2) ID_gazedata_blk.csv - This file contains participants' eye tracking data for a specific block, recorded at 120Hz. 3) ID_bitalino_blk.txt - This file contains participants' physiological data (ECG, EMG, EDA) recorded at 1k Hz. 4) ConvertedEMG_blk.pkl, ConvertedEDA_blk.pkl and ConvertedECG_blk.pkl contains the physiological data in pickle format (Python), converted from Analog to Digital. For the conversion, please see https://github.com/Gabrock94/BitalinoRevolutionConverter |
Notes: |
application/zip |
Label: |
WA_RawData_ELE09OLE.zip |
Text: |
Each zip contains 14 files, where ID is the ID of the participants and blk is the experimental block (1 or 2). 1) ID_rating_blk.csv - This file contains participants' ratings for presented pictures, for a specific block. 2) ID_gazedata_blk.csv - This file contains participants' eye tracking data for a specific block, recorded at 120Hz. 3) ID_bitalino_blk.txt - This file contains participants' physiological data (ECG, EMG, EDA) recorded at 1k Hz. 4) ConvertedEMG_blk.pkl, ConvertedEDA_blk.pkl and ConvertedECG_blk.pkl contains the physiological data in pickle format (Python), converted from Analog to Digital. For the conversion, please see https://github.com/Gabrock94/BitalinoRevolutionConverter |
Notes: |
application/zip |
Label: |
WA_RawData_ELE14FEL.zip |
Text: |
Each zip contains 14 files, where ID is the ID of the participants and blk is the experimental block (1 or 2). 1) ID_rating_blk.csv - This file contains participants' ratings for presented pictures, for a specific block. 2) ID_gazedata_blk.csv - This file contains participants' eye tracking data for a specific block, recorded at 120Hz. 3) ID_bitalino_blk.txt - This file contains participants' physiological data (ECG, EMG, EDA) recorded at 1k Hz. 4) ConvertedEMG_blk.pkl, ConvertedEDA_blk.pkl and ConvertedECG_blk.pkl contains the physiological data in pickle format (Python), converted from Analog to Digital. For the conversion, please see https://github.com/Gabrock94/BitalinoRevolutionConverter |
Notes: |
application/zip |
Label: |
WA_RawData_FED27ZAN.zip |
Text: |
Each zip contains 14 files, where ID is the ID of the participants and blk is the experimental block (1 or 2). 1) ID_rating_blk.csv - This file contains participants' ratings for presented pictures, for a specific block. 2) ID_gazedata_blk.csv - This file contains participants' eye tracking data for a specific block, recorded at 120Hz. 3) ID_bitalino_blk.txt - This file contains participants' physiological data (ECG, EMG, EDA) recorded at 1k Hz. 4) ConvertedEMG_blk.pkl, ConvertedEDA_blk.pkl and ConvertedECG_blk.pkl contains the physiological data in pickle format (Python), converted from Analog to Digital. For the conversion, please see https://github.com/Gabrock94/BitalinoRevolutionConverter |
Notes: |
application/zip |
Label: |
WA_RawData_FLA11LAN.zip |
Text: |
Each zip contains 14 files, where ID is the ID of the participants and blk is the experimental block (1 or 2). 1) ID_rating_blk.csv - This file contains participants' ratings for presented pictures, for a specific block. 2) ID_gazedata_blk.csv - This file contains participants' eye tracking data for a specific block, recorded at 120Hz. 3) ID_bitalino_blk.txt - This file contains participants' physiological data (ECG, EMG, EDA) recorded at 1k Hz. 4) ConvertedEMG_blk.pkl, ConvertedEDA_blk.pkl and ConvertedECG_blk.pkl contains the physiological data in pickle format (Python), converted from Analog to Digital. For the conversion, please see https://github.com/Gabrock94/BitalinoRevolutionConverter |
Notes: |
application/zip |
Label: |
WA_RawData_FRA13AND.zip |
Text: |
Each zip contains 14 files, where ID is the ID of the participants and blk is the experimental block (1 or 2). 1) ID_rating_blk.csv - This file contains participants' ratings for presented pictures, for a specific block. 2) ID_gazedata_blk.csv - This file contains participants' eye tracking data for a specific block, recorded at 120Hz. 3) ID_bitalino_blk.txt - This file contains participants' physiological data (ECG, EMG, EDA) recorded at 1k Hz. 4) ConvertedEMG_blk.pkl, ConvertedEDA_blk.pkl and ConvertedECG_blk.pkl contains the physiological data in pickle format (Python), converted from Analog to Digital. For the conversion, please see https://github.com/Gabrock94/BitalinoRevolutionConverter |
Notes: |
application/zip |
Label: |
WA_RawData_FRA13DAL.zip |
Text: |
Each zip contains 14 files, where ID is the ID of the participants and blk is the experimental block (1 or 2). 1) ID_rating_blk.csv - This file contains participants' ratings for presented pictures, for a specific block. 2) ID_gazedata_blk.csv - This file contains participants' eye tracking data for a specific block, recorded at 120Hz. 3) ID_bitalino_blk.txt - This file contains participants' physiological data (ECG, EMG, EDA) recorded at 1k Hz. 4) ConvertedEMG_blk.pkl, ConvertedEDA_blk.pkl and ConvertedECG_blk.pkl contains the physiological data in pickle format (Python), converted from Analog to Digital. For the conversion, please see https://github.com/Gabrock94/BitalinoRevolutionConverter |
Notes: |
application/zip |
Label: |
WA_RawData_FRA19VAR.zip |
Text: |
Each zip contains 14 files, where ID is the ID of the participants and blk is the experimental block (1 or 2). 1) ID_rating_blk.csv - This file contains participants' ratings for presented pictures, for a specific block. 2) ID_gazedata_blk.csv - This file contains participants' eye tracking data for a specific block, recorded at 120Hz. 3) ID_bitalino_blk.txt - This file contains participants' physiological data (ECG, EMG, EDA) recorded at 1k Hz. 4) ConvertedEMG_blk.pkl, ConvertedEDA_blk.pkl and ConvertedECG_blk.pkl contains the physiological data in pickle format (Python), converted from Analog to Digital. For the conversion, please see https://github.com/Gabrock94/BitalinoRevolutionConverter |
Notes: |
application/zip |
Label: |
WA_RawData_FRA28BAR.zip |
Text: |
Each zip contains 14 files, where ID is the ID of the participants and blk is the experimental block (1 or 2). 1) ID_rating_blk.csv - This file contains participants' ratings for presented pictures, for a specific block. 2) ID_gazedata_blk.csv - This file contains participants' eye tracking data for a specific block, recorded at 120Hz. 3) ID_bitalino_blk.txt - This file contains participants' physiological data (ECG, EMG, EDA) recorded at 1k Hz. 4) ConvertedEMG_blk.pkl, ConvertedEDA_blk.pkl and ConvertedECG_blk.pkl contains the physiological data in pickle format (Python), converted from Analog to Digital. For the conversion, please see https://github.com/Gabrock94/BitalinoRevolutionConverter |
Notes: |
application/zip |
Label: |
WA_RawData_GIA08FIL.zip |
Text: |
Each zip contains 14 files, where ID is the ID of the participants and blk is the experimental block (1 or 2). 1) ID_rating_blk.csv - This file contains participants' ratings for presented pictures, for a specific block. 2) ID_gazedata_blk.csv - This file contains participants' eye tracking data for a specific block, recorded at 120Hz. 3) ID_bitalino_blk.txt - This file contains participants' physiological data (ECG, EMG, EDA) recorded at 1k Hz. 4) ConvertedEMG_blk.pkl, ConvertedEDA_blk.pkl and ConvertedECG_blk.pkl contains the physiological data in pickle format (Python), converted from Analog to Digital. For the conversion, please see https://github.com/Gabrock94/BitalinoRevolutionConverter |
Notes: |
application/zip |
Label: |
WA_RawData_GIO17MAL.zip |
Text: |
Each zip contains 14 files, where ID is the ID of the participants and blk is the experimental block (1 or 2). 1) ID_rating_blk.csv - This file contains participants' ratings for presented pictures, for a specific block. 2) ID_gazedata_blk.csv - This file contains participants' eye tracking data for a specific block, recorded at 120Hz. 3) ID_bitalino_blk.txt - This file contains participants' physiological data (ECG, EMG, EDA) recorded at 1k Hz. 4) ConvertedEMG_blk.pkl, ConvertedEDA_blk.pkl and ConvertedECG_blk.pkl contains the physiological data in pickle format (Python), converted from Analog to Digital. For the conversion, please see https://github.com/Gabrock94/BitalinoRevolutionConverter |
Notes: |
application/zip |
Label: |
WA_RawData_GIU02BER.zip |
Text: |
Each zip contains 14 files, where ID is the ID of the participants and blk is the experimental block (1 or 2). 1) ID_rating_blk.csv - This file contains participants' ratings for presented pictures, for a specific block. 2) ID_gazedata_blk.csv - This file contains participants' eye tracking data for a specific block, recorded at 120Hz. 3) ID_bitalino_blk.txt - This file contains participants' physiological data (ECG, EMG, EDA) recorded at 1k Hz. 4) ConvertedEMG_blk.pkl, ConvertedEDA_blk.pkl and ConvertedECG_blk.pkl contains the physiological data in pickle format (Python), converted from Analog to Digital. For the conversion, please see https://github.com/Gabrock94/BitalinoRevolutionConverter |
Notes: |
application/zip |
Label: |
WA_RawData_GIU06CAN.zip |
Text: |
Each zip contains 14 files, where ID is the ID of the participants and blk is the experimental block (1 or 2). 1) ID_rating_blk.csv - This file contains participants' ratings for presented pictures, for a specific block. 2) ID_gazedata_blk.csv - This file contains participants' eye tracking data for a specific block, recorded at 120Hz. 3) ID_bitalino_blk.txt - This file contains participants' physiological data (ECG, EMG, EDA) recorded at 1k Hz. 4) ConvertedEMG_blk.pkl, ConvertedEDA_blk.pkl and ConvertedECG_blk.pkl contains the physiological data in pickle format (Python), converted from Analog to Digital. For the conversion, please see https://github.com/Gabrock94/BitalinoRevolutionConverter |
Notes: |
application/zip |
Label: |
WA_RawData_GIU25GRO.zip |
Text: |
Each zip contains 14 files, where ID is the ID of the participants and blk is the experimental block (1 or 2). 1) ID_rating_blk.csv - This file contains participants' ratings for presented pictures, for a specific block. 2) ID_gazedata_blk.csv - This file contains participants' eye tracking data for a specific block, recorded at 120Hz. 3) ID_bitalino_blk.txt - This file contains participants' physiological data (ECG, EMG, EDA) recorded at 1k Hz. 4) ConvertedEMG_blk.pkl, ConvertedEDA_blk.pkl and ConvertedECG_blk.pkl contains the physiological data in pickle format (Python), converted from Analog to Digital. For the conversion, please see https://github.com/Gabrock94/BitalinoRevolutionConverter |
Notes: |
application/zip |
Label: |
WA_RawData_GIU28CAS.zip |
Text: |
Each zip contains 14 files, where ID is the ID of the participants and blk is the experimental block (1 or 2). 1) ID_rating_blk.csv - This file contains participants' ratings for presented pictures, for a specific block. 2) ID_gazedata_blk.csv - This file contains participants' eye tracking data for a specific block, recorded at 120Hz. 3) ID_bitalino_blk.txt - This file contains participants' physiological data (ECG, EMG, EDA) recorded at 1k Hz. 4) ConvertedEMG_blk.pkl, ConvertedEDA_blk.pkl and ConvertedECG_blk.pkl contains the physiological data in pickle format (Python), converted from Analog to Digital. For the conversion, please see https://github.com/Gabrock94/BitalinoRevolutionConverter |
Notes: |
application/zip |
Label: |
WA_RawData_GIU30ALE.zip |
Text: |
Each zip contains 14 files, where ID is the ID of the participants and blk is the experimental block (1 or 2). 1) ID_rating_blk.csv - This file contains participants' ratings for presented pictures, for a specific block. 2) ID_gazedata_blk.csv - This file contains participants' eye tracking data for a specific block, recorded at 120Hz. 3) ID_bitalino_blk.txt - This file contains participants' physiological data (ECG, EMG, EDA) recorded at 1k Hz. 4) ConvertedEMG_blk.pkl, ConvertedEDA_blk.pkl and ConvertedECG_blk.pkl contains the physiological data in pickle format (Python), converted from Analog to Digital. For the conversion, please see https://github.com/Gabrock94/BitalinoRevolutionConverter |
Notes: |
application/zip |
Label: |
WA_RawData_JAC01BIA.zip |
Text: |
Each zip contains 14 files, where ID is the ID of the participants and blk is the experimental block (1 or 2). 1) ID_rating_blk.csv - This file contains participants' ratings for presented pictures, for a specific block. 2) ID_gazedata_blk.csv - This file contains participants' eye tracking data for a specific block, recorded at 120Hz. 3) ID_bitalino_blk.txt - This file contains participants' physiological data (ECG, EMG, EDA) recorded at 1k Hz. 4) ConvertedEMG_blk.pkl, ConvertedEDA_blk.pkl and ConvertedECG_blk.pkl contains the physiological data in pickle format (Python), converted from Analog to Digital. For the conversion, please see https://github.com/Gabrock94/BitalinoRevolutionConverter |
Notes: |
application/zip |
Label: |
WA_RawData_JES18BUS.zip |
Text: |
Each zip contains 14 files, where ID is the ID of the participants and blk is the experimental block (1 or 2). 1) ID_rating_blk.csv - This file contains participants' ratings for presented pictures, for a specific block. 2) ID_gazedata_blk.csv - This file contains participants' eye tracking data for a specific block, recorded at 120Hz. 3) ID_bitalino_blk.txt - This file contains participants' physiological data (ECG, EMG, EDA) recorded at 1k Hz. 4) ConvertedEMG_blk.pkl, ConvertedEDA_blk.pkl and ConvertedECG_blk.pkl contains the physiological data in pickle format (Python), converted from Analog to Digital. For the conversion, please see https://github.com/Gabrock94/BitalinoRevolutionConverter |
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application/zip |
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WA_RawData_JOS03FAI.zip |
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Each zip contains 14 files, where ID is the ID of the participants and blk is the experimental block (1 or 2). 1) ID_rating_blk.csv - This file contains participants' ratings for presented pictures, for a specific block. 2) ID_gazedata_blk.csv - This file contains participants' eye tracking data for a specific block, recorded at 120Hz. 3) ID_bitalino_blk.txt - This file contains participants' physiological data (ECG, EMG, EDA) recorded at 1k Hz. 4) ConvertedEMG_blk.pkl, ConvertedEDA_blk.pkl and ConvertedECG_blk.pkl contains the physiological data in pickle format (Python), converted from Analog to Digital. For the conversion, please see https://github.com/Gabrock94/BitalinoRevolutionConverter |
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application/zip |
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WA_RawData_KEL29MAR.zip |
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Each zip contains 14 files, where ID is the ID of the participants and blk is the experimental block (1 or 2). 1) ID_rating_blk.csv - This file contains participants' ratings for presented pictures, for a specific block. 2) ID_gazedata_blk.csv - This file contains participants' eye tracking data for a specific block, recorded at 120Hz. 3) ID_bitalino_blk.txt - This file contains participants' physiological data (ECG, EMG, EDA) recorded at 1k Hz. 4) ConvertedEMG_blk.pkl, ConvertedEDA_blk.pkl and ConvertedECG_blk.pkl contains the physiological data in pickle format (Python), converted from Analog to Digital. For the conversion, please see https://github.com/Gabrock94/BitalinoRevolutionConverter |
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application/zip |
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WA_RawData_LEO20ROV.zip |
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Each zip contains 14 files, where ID is the ID of the participants and blk is the experimental block (1 or 2). 1) ID_rating_blk.csv - This file contains participants' ratings for presented pictures, for a specific block. 2) ID_gazedata_blk.csv - This file contains participants' eye tracking data for a specific block, recorded at 120Hz. 3) ID_bitalino_blk.txt - This file contains participants' physiological data (ECG, EMG, EDA) recorded at 1k Hz. 4) ConvertedEMG_blk.pkl, ConvertedEDA_blk.pkl and ConvertedECG_blk.pkl contains the physiological data in pickle format (Python), converted from Analog to Digital. For the conversion, please see https://github.com/Gabrock94/BitalinoRevolutionConverter |
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application/zip |
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WA_RawData_MAR07CIC.zip |
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Each zip contains 14 files, where ID is the ID of the participants and blk is the experimental block (1 or 2). 1) ID_rating_blk.csv - This file contains participants' ratings for presented pictures, for a specific block. 2) ID_gazedata_blk.csv - This file contains participants' eye tracking data for a specific block, recorded at 120Hz. 3) ID_bitalino_blk.txt - This file contains participants' physiological data (ECG, EMG, EDA) recorded at 1k Hz. 4) ConvertedEMG_blk.pkl, ConvertedEDA_blk.pkl and ConvertedECG_blk.pkl contains the physiological data in pickle format (Python), converted from Analog to Digital. For the conversion, please see https://github.com/Gabrock94/BitalinoRevolutionConverter |
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application/zip |
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WA_RawData_MAR10SET.zip |
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Each zip contains 14 files, where ID is the ID of the participants and blk is the experimental block (1 or 2). 1) ID_rating_blk.csv - This file contains participants' ratings for presented pictures, for a specific block. 2) ID_gazedata_blk.csv - This file contains participants' eye tracking data for a specific block, recorded at 120Hz. 3) ID_bitalino_blk.txt - This file contains participants' physiological data (ECG, EMG, EDA) recorded at 1k Hz. 4) ConvertedEMG_blk.pkl, ConvertedEDA_blk.pkl and ConvertedECG_blk.pkl contains the physiological data in pickle format (Python), converted from Analog to Digital. For the conversion, please see https://github.com/Gabrock94/BitalinoRevolutionConverter |
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application/zip |
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WA_RawData_MAR29CAL.zip |
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Each zip contains 14 files, where ID is the ID of the participants and blk is the experimental block (1 or 2). 1) ID_rating_blk.csv - This file contains participants' ratings for presented pictures, for a specific block. 2) ID_gazedata_blk.csv - This file contains participants' eye tracking data for a specific block, recorded at 120Hz. 3) ID_bitalino_blk.txt - This file contains participants' physiological data (ECG, EMG, EDA) recorded at 1k Hz. 4) ConvertedEMG_blk.pkl, ConvertedEDA_blk.pkl and ConvertedECG_blk.pkl contains the physiological data in pickle format (Python), converted from Analog to Digital. For the conversion, please see https://github.com/Gabrock94/BitalinoRevolutionConverter |
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application/zip |
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WA_RawData_MAS24LAS.zip |
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Each zip contains 14 files, where ID is the ID of the participants and blk is the experimental block (1 or 2). 1) ID_rating_blk.csv - This file contains participants' ratings for presented pictures, for a specific block. 2) ID_gazedata_blk.csv - This file contains participants' eye tracking data for a specific block, recorded at 120Hz. 3) ID_bitalino_blk.txt - This file contains participants' physiological data (ECG, EMG, EDA) recorded at 1k Hz. 4) ConvertedEMG_blk.pkl, ConvertedEDA_blk.pkl and ConvertedECG_blk.pkl contains the physiological data in pickle format (Python), converted from Analog to Digital. For the conversion, please see https://github.com/Gabrock94/BitalinoRevolutionConverter |
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application/zip |
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WA_Scripts_DataCollection.py |
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This script runs the experimental procedure and record data from both a Tobii and a Bitalino. |
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text/x-python |
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websiteFeatures.csv |
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Website features database |
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text/csv |
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WE_RawData_MAT06DEV.zip |
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Each zip contains 14 files, where ID is the ID of the participants and blk is the experimental block (1 or 2). 1) ID_rating_blk.csv - This file contains participants' ratings for presented pictures, for a specific block. 2) ID_gazedata_blk.csv - This file contains participants' eye tracking data for a specific block, recorded at 120Hz. 3) ID_bitalino_blk.txt - This file contains participants' physiological data (ECG, EMG, EDA) recorded at 1k Hz. 4) ConvertedEMG_blk.pkl, ConvertedEDA_blk.pkl and ConvertedECG_blk.pkl contains the physiological data in pickle format (Python), converted from Analog to Digital. For the conversion, please see https://github.com/Gabrock94/BitalinoRevolutionConverter |
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application/zip |
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WE_RawData_MAT27ANG.zip |
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Each zip contains 14 files, where ID is the ID of the participants and blk is the experimental block (1 or 2). 1) ID_rating_blk.csv - This file contains participants' ratings for presented pictures, for a specific block. 2) ID_gazedata_blk.csv - This file contains participants' eye tracking data for a specific block, recorded at 120Hz. 3) ID_bitalino_blk.txt - This file contains participants' physiological data (ECG, EMG, EDA) recorded at 1k Hz. 4) ConvertedEMG_blk.pkl, ConvertedEDA_blk.pkl and ConvertedECG_blk.pkl contains the physiological data in pickle format (Python), converted from Analog to Digital. For the conversion, please see https://github.com/Gabrock94/BitalinoRevolutionConverter |
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application/zip |
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WE_RawData_MIR15KAH.zip |
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Each zip contains 14 files, where ID is the ID of the participants and blk is the experimental block (1 or 2). 1) ID_rating_blk.csv - This file contains participants' ratings for presented pictures, for a specific block. 2) ID_gazedata_blk.csv - This file contains participants' eye tracking data for a specific block, recorded at 120Hz. 3) ID_bitalino_blk.txt - This file contains participants' physiological data (ECG, EMG, EDA) recorded at 1k Hz. 4) ConvertedEMG_blk.pkl, ConvertedEDA_blk.pkl and ConvertedECG_blk.pkl contains the physiological data in pickle format (Python), converted from Analog to Digital. For the conversion, please see https://github.com/Gabrock94/BitalinoRevolutionConverter |
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application/zip |
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WE_RawData_NAG06OSH.zip |
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Each zip contains 14 files, where ID is the ID of the participants and blk is the experimental block (1 or 2). 1) ID_rating_blk.csv - This file contains participants' ratings for presented pictures, for a specific block. 2) ID_gazedata_blk.csv - This file contains participants' eye tracking data for a specific block, recorded at 120Hz. 3) ID_bitalino_blk.txt - This file contains participants' physiological data (ECG, EMG, EDA) recorded at 1k Hz. 4) ConvertedEMG_blk.pkl, ConvertedEDA_blk.pkl and ConvertedECG_blk.pkl contains the physiological data in pickle format (Python), converted from Analog to Digital. For the conversion, please see https://github.com/Gabrock94/BitalinoRevolutionConverter |
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application/zip |
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WE_RawData_NAH14SUM.zip |
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Each zip contains 14 files, where ID is the ID of the participants and blk is the experimental block (1 or 2). 1) ID_rating_blk.csv - This file contains participants' ratings for presented pictures, for a specific block. 2) ID_gazedata_blk.csv - This file contains participants' eye tracking data for a specific block, recorded at 120Hz. 3) ID_bitalino_blk.txt - This file contains participants' physiological data (ECG, EMG, EDA) recorded at 1k Hz. 4) ConvertedEMG_blk.pkl, ConvertedEDA_blk.pkl and ConvertedECG_blk.pkl contains the physiological data in pickle format (Python), converted from Analog to Digital. For the conversion, please see https://github.com/Gabrock94/BitalinoRevolutionConverter |
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application/zip |
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WE_RawData_NIC19ROB.zip |
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Each zip contains 14 files, where ID is the ID of the participants and blk is the experimental block (1 or 2). 1) ID_rating_blk.csv - This file contains participants' ratings for presented pictures, for a specific block. 2) ID_gazedata_blk.csv - This file contains participants' eye tracking data for a specific block, recorded at 120Hz. 3) ID_bitalino_blk.txt - This file contains participants' physiological data (ECG, EMG, EDA) recorded at 1k Hz. 4) ConvertedEMG_blk.pkl, ConvertedEDA_blk.pkl and ConvertedECG_blk.pkl contains the physiological data in pickle format (Python), converted from Analog to Digital. For the conversion, please see https://github.com/Gabrock94/BitalinoRevolutionConverter |
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application/zip |
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WE_RawData_PIE06BON.zip |
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Each zip contains 14 files, where ID is the ID of the participants and blk is the experimental block (1 or 2). 1) ID_rating_blk.csv - This file contains participants' ratings for presented pictures, for a specific block. 2) ID_gazedata_blk.csv - This file contains participants' eye tracking data for a specific block, recorded at 120Hz. 3) ID_bitalino_blk.txt - This file contains participants' physiological data (ECG, EMG, EDA) recorded at 1k Hz. 4) ConvertedEMG_blk.pkl, ConvertedEDA_blk.pkl and ConvertedECG_blk.pkl contains the physiological data in pickle format (Python), converted from Analog to Digital. For the conversion, please see https://github.com/Gabrock94/BitalinoRevolutionConverter |
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application/zip |
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WE_RawData_PIE16MEN.zip |
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Each zip contains 14 files, where ID is the ID of the participants and blk is the experimental block (1 or 2). 1) ID_rating_blk.csv - This file contains participants' ratings for presented pictures, for a specific block. 2) ID_gazedata_blk.csv - This file contains participants' eye tracking data for a specific block, recorded at 120Hz. 3) ID_bitalino_blk.txt - This file contains participants' physiological data (ECG, EMG, EDA) recorded at 1k Hz. 4) ConvertedEMG_blk.pkl, ConvertedEDA_blk.pkl and ConvertedECG_blk.pkl contains the physiological data in pickle format (Python), converted from Analog to Digital. For the conversion, please see https://github.com/Gabrock94/BitalinoRevolutionConverter |
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application/zip |
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WE_RawData_RIC02LAZ.zip |
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Each zip contains 14 files, where ID is the ID of the participants and blk is the experimental block (1 or 2). 1) ID_rating_blk.csv - This file contains participants' ratings for presented pictures, for a specific block. 2) ID_gazedata_blk.csv - This file contains participants' eye tracking data for a specific block, recorded at 120Hz. 3) ID_bitalino_blk.txt - This file contains participants' physiological data (ECG, EMG, EDA) recorded at 1k Hz. 4) ConvertedEMG_blk.pkl, ConvertedEDA_blk.pkl and ConvertedECG_blk.pkl contains the physiological data in pickle format (Python), converted from Analog to Digital. For the conversion, please see https://github.com/Gabrock94/BitalinoRevolutionConverter |
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application/zip |
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WE_RawData_SAR03BUC.zip |
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Each zip contains 14 files, where ID is the ID of the participants and blk is the experimental block (1 or 2). 1) ID_rating_blk.csv - This file contains participants' ratings for presented pictures, for a specific block. 2) ID_gazedata_blk.csv - This file contains participants' eye tracking data for a specific block, recorded at 120Hz. 3) ID_bitalino_blk.txt - This file contains participants' physiological data (ECG, EMG, EDA) recorded at 1k Hz. 4) ConvertedEMG_blk.pkl, ConvertedEDA_blk.pkl and ConvertedECG_blk.pkl contains the physiological data in pickle format (Python), converted from Analog to Digital. For the conversion, please see https://github.com/Gabrock94/BitalinoRevolutionConverter |
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application/zip |
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WE_RawData_SAR08ALB.zip |
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Each zip contains 14 files, where ID is the ID of the participants and blk is the experimental block (1 or 2). 1) ID_rating_blk.csv - This file contains participants' ratings for presented pictures, for a specific block. 2) ID_gazedata_blk.csv - This file contains participants' eye tracking data for a specific block, recorded at 120Hz. 3) ID_bitalino_blk.txt - This file contains participants' physiological data (ECG, EMG, EDA) recorded at 1k Hz. 4) ConvertedEMG_blk.pkl, ConvertedEDA_blk.pkl and ConvertedECG_blk.pkl contains the physiological data in pickle format (Python), converted from Analog to Digital. For the conversion, please see https://github.com/Gabrock94/BitalinoRevolutionConverter |
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application/zip |
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WE_RawData_SIL20MAI.zip |
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Each zip contains 14 files, where ID is the ID of the participants and blk is the experimental block (1 or 2). 1) ID_rating_blk.csv - This file contains participants' ratings for presented pictures, for a specific block. 2) ID_gazedata_blk.csv - This file contains participants' eye tracking data for a specific block, recorded at 120Hz. 3) ID_bitalino_blk.txt - This file contains participants' physiological data (ECG, EMG, EDA) recorded at 1k Hz. 4) ConvertedEMG_blk.pkl, ConvertedEDA_blk.pkl and ConvertedECG_blk.pkl contains the physiological data in pickle format (Python), converted from Analog to Digital. For the conversion, please see https://github.com/Gabrock94/BitalinoRevolutionConverter |
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application/zip |
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WE_RawData_SIM10GIA.zip |
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Each zip contains 14 files, where ID is the ID of the participants and blk is the experimental block (1 or 2). 1) ID_rating_blk.csv - This file contains participants' ratings for presented pictures, for a specific block. 2) ID_gazedata_blk.csv - This file contains participants' eye tracking data for a specific block, recorded at 120Hz. 3) ID_bitalino_blk.txt - This file contains participants' physiological data (ECG, EMG, EDA) recorded at 1k Hz. 4) ConvertedEMG_blk.pkl, ConvertedEDA_blk.pkl and ConvertedECG_blk.pkl contains the physiological data in pickle format (Python), converted from Analog to Digital. For the conversion, please see https://github.com/Gabrock94/BitalinoRevolutionConverter |
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application/zip |
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WE_RawData_STE15LUC.zip |
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Each zip contains 14 files, where ID is the ID of the participants and blk is the experimental block (1 or 2). 1) ID_rating_blk.csv - This file contains participants' ratings for presented pictures, for a specific block. 2) ID_gazedata_blk.csv - This file contains participants' eye tracking data for a specific block, recorded at 120Hz. 3) ID_bitalino_blk.txt - This file contains participants' physiological data (ECG, EMG, EDA) recorded at 1k Hz. 4) ConvertedEMG_blk.pkl, ConvertedEDA_blk.pkl and ConvertedECG_blk.pkl contains the physiological data in pickle format (Python), converted from Analog to Digital. For the conversion, please see https://github.com/Gabrock94/BitalinoRevolutionConverter |
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application/zip |
Label: |
WE_RawData_VER08CAI.zip |
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Each zip contains 14 files, where ID is the ID of the participants and blk is the experimental block (1 or 2). 1) ID_rating_blk.csv - This file contains participants' ratings for presented pictures, for a specific block. 2) ID_gazedata_blk.csv - This file contains participants' eye tracking data for a specific block, recorded at 120Hz. 3) ID_bitalino_blk.txt - This file contains participants' physiological data (ECG, EMG, EDA) recorded at 1k Hz. 4) ConvertedEMG_blk.pkl, ConvertedEDA_blk.pkl and ConvertedECG_blk.pkl contains the physiological data in pickle format (Python), converted from Analog to Digital. For the conversion, please see https://github.com/Gabrock94/BitalinoRevolutionConverter |
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application/zip |
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WE_RawData_VER20TON.zip |
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Each zip contains 14 files, where ID is the ID of the participants and blk is the experimental block (1 or 2). 1) ID_rating_blk.csv - This file contains participants' ratings for presented pictures, for a specific block. 2) ID_gazedata_blk.csv - This file contains participants' eye tracking data for a specific block, recorded at 120Hz. 3) ID_bitalino_blk.txt - This file contains participants' physiological data (ECG, EMG, EDA) recorded at 1k Hz. 4) ConvertedEMG_blk.pkl, ConvertedEDA_blk.pkl and ConvertedECG_blk.pkl contains the physiological data in pickle format (Python), converted from Analog to Digital. For the conversion, please see https://github.com/Gabrock94/BitalinoRevolutionConverter |
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application/zip |
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WE_RawData_VIR11MEO.zip |
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Each zip contains 14 files, where ID is the ID of the participants and blk is the experimental block (1 or 2). 1) ID_rating_blk.csv - This file contains participants' ratings for presented pictures, for a specific block. 2) ID_gazedata_blk.csv - This file contains participants' eye tracking data for a specific block, recorded at 120Hz. 3) ID_bitalino_blk.txt - This file contains participants' physiological data (ECG, EMG, EDA) recorded at 1k Hz. 4) ConvertedEMG_blk.pkl, ConvertedEDA_blk.pkl and ConvertedECG_blk.pkl contains the physiological data in pickle format (Python), converted from Analog to Digital. For the conversion, please see https://github.com/Gabrock94/BitalinoRevolutionConverter |
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application/zip |
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WE_RawData_VLA31KOH.zip |
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Each zip contains 14 files, where ID is the ID of the participants and blk is the experimental block (1 or 2). 1) ID_rating_blk.csv - This file contains participants' ratings for presented pictures, for a specific block. 2) ID_gazedata_blk.csv - This file contains participants' eye tracking data for a specific block, recorded at 120Hz. 3) ID_bitalino_blk.txt - This file contains participants' physiological data (ECG, EMG, EDA) recorded at 1k Hz. 4) ConvertedEMG_blk.pkl, ConvertedEDA_blk.pkl and ConvertedECG_blk.pkl contains the physiological data in pickle format (Python), converted from Analog to Digital. For the conversion, please see https://github.com/Gabrock94/BitalinoRevolutionConverter |
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application/zip |