361 to 370 of 463 Results
Comma Separated Values - 5.0 KB -
MD5: ad9f6d90d95e251716b6a06a415c523f
Dutch-speaking participants' self-reported familiarity with regional accents of English. |
Comma Separated Values - 5.3 KB -
MD5: d50450157b7d9b20f2936bdc87194b03
Spanish-speaking participants' self-reported familiarity with regional accents of English. |
Comma Separated Values - 5.2 KB -
MD5: f8d4db125b8ef777effd34949dfd4e51
Dutch-speaking participants' responses to the background questionnaire. |
Comma Separated Values - 4.3 KB -
MD5: 77dda5e538c3dcb05caccb25df1dd17e
Spanish-speaking participants' responses to the background questionnaire. |
Adobe PDF - 2.1 MB -
MD5: 4e572f08eaa5506026ff7ffe85fd4028
PDF output of the R Markdown script used to analyze participants' cross-language and second-language vowel categorization responses. |
R Notebook - 91.2 KB -
MD5: 05b4d05f16d0b13c88ec994d79de162b
R Markdown for the analysis of participants' cross-language and second-language vowel categorizations. |
Adobe PDF - 912.1 KB -
MD5: 472f9e6284140f82356af2de874c6d6d
PDF output of the R Markdown script used to generate cross-language vowel categorization predictions based on acoustic similarity models. |
R Notebook - 81.9 KB -
MD5: e9d4e3c0e923cfd586c4f4b44853d1f1
R Markdown for predicting cross-language acoustic similarity. |
Jan 29, 2026 -
Replication Data for: Sensor Comparison for Multi-Modal Motion Estimation in Upper Body Stroke Rehabilitation
Plain Text - 14.5 KB -
MD5: 163f874b3a4c1f094cfe2360babfdcc9
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Jan 29, 2026 -
Replication Data for: Sensor Comparison for Multi-Modal Motion Estimation in Upper Body Stroke Rehabilitation
XML - 2.4 KB -
MD5: 14485565581049fad67dfdd0264f097c
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