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Supplementary material for: Corticomotor control of lumbar erector spinae in postural and voluntary tasks: the influence of transcranial magnetic stimulation current direction
Borealis
Massé-Alarie, Hugo — 2023-05-15 Supplementary material for: Corticomotor control of lumbar erector spinae in postural and voluntary tasks: the influence of transcranial magnetic stimulation current direction. 3 Word files : Extended data 1: TMS specific checklist developed; Extended data 2. Hotspots coordinates corresponding to the MNI305/Tailarach coordinates; Extended data 3. Raw MEP and R1 amplitudes.
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Aging of Amateur Singers and Non-singers: From Behavior to Resting-state Connectivity
Borealis
Tremblay, Pascale; Xiyue, Zhang — 2023-10-11 This datasets includes resting-state functional connectivity (RSFC) group data from 41 healthy singers and 43 non-singers, measured in five networks: auditory, speech, language, default mode and dorsal attention, as well as its relationship to auditory cognitive aging. The dataset includes the analytical the scripts and the group-level results. The original individual data (behavioural and MRI) cannot be shared because participants did not consent to individual data sharing at the time.
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Speech and voice production in healthy older adults with or without amateur singing experience
Borealis
Tremblay, Pascale; Gagnon, Lydia; Arseneault, Alison; Roy, Johanna-Pascale — 2023-10-26 The aim of the study was to examine different components of speech production in younger and older adults with or without amateur singing experience using a battery of tests that included a voice production tasks, a standardized passage reading and a maximal performance task (diadochokinetic rates task [DDK]). Data were collected on 38 healthy amateur singers (aged 20–87 years, 23 females) and 40 healthy non-musician controls (aged 23–88 years, 19 females). This dataset contains the aggregated datasets that were used for group-level statistical analysis.
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Raw and supplemental data for Production performance and milk composition of dairy goats fed diets based on silages of four different forage species
Borealis
Doyon, Audrey; Tremblay, Gaëtan F.; Gervais, Rachel; Chouinard, Yvan — 2023-12-20 Five tables of raw data in XLSX format: (1) Forage composition.tab, (2) Performances.tab, (3) Milk components.tab, (4) Milk fat composition.tab, and (5) Essential fatty acids.tab, plus one table of supplemental data. For the article "Production performance and milk composition of dairy goats fed diets based on silages of four different forage species" published in Animal - Open Space.
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Raw data and reproducible analyses for Impact of the amount of milk replacer offers to Holstein dairy heifers on pre- and post-weaning growth
Borealis
Philion, Jennifer; Laflamme-Michaud, Léonie; Santschi, Débora; Charbonneau, Édith; Paquet, Éric — 2024-01-19 Three different groups of files are present in this repository: 1) the raw data 2) the code to reproduce the analyses, and 3) the output from the reproducible analysis and tables presented in the paper.<br> <br> <b>1) raw data :</b><br> data.all.RData and data.all.xlsx : All data for all the calves in the project in RData and Excel format.<br> data.7500.RData and data.7500.xlsx : Data for the calves in the MinIntake analysis in the project in RData and Excel format.<br> data.colname.definitions.xlsx : Definition of the columns present in files data.all and data.7500.<br> <br> <b>2) the code :</b><br> adlib_recan_analysis.Rmd : This is the R markdown file to run (e.g. in R studio) to reproduce all the analysis of the paper.<br> analysis.R : The script generating Table 1 and Table 2 of the paper.<br> <br> <b>3) the output from the code:</b><br> adlib_recan_analysis.html : The R markdown output in html format.<br> table1.xls : Table 1 presented in the paper.<br> table2.xls : Table 2 presented in the paper.<br>
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Community patterns of scholarly communication open source software generated by YOSHI
Borealis
Lasou, Pierre; Neugebauer, Tomasz — 2024-02-28 This dataset contains community patterns of scholarly communication open source software generated by the open source research prototype YOSHI. A community pattern is a set of community types. YOSHI is able to detect 8 different open-source software community types (Social networks (SN), Community of practice (CoP), Informal Community (IC), etc.).

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