Metrics
2,166,486 Downloads
Contact Share
Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

31 to 40 of 137,984 Results
02_Data_privacy_assessment.pdf
Jun 3, 2026 - Background data for: Exploring time-telling expressions: A cross-linguistic study of German, Czech, and Russian
Adobe PDF - 369.7 KB - MD5: bcdca0c3d86e2b2ddb6905e112b63327
03_Instructions.pdf
Jun 3, 2026 - Background data for: Exploring time-telling expressions: A cross-linguistic study of German, Czech, and Russian
Adobe PDF - 134.1 KB - MD5: b2a8b05c0f7293eaa908592c2313ba90
04_Questionnaire.pdf
Jun 3, 2026 - Background data for: Exploring time-telling expressions: A cross-linguistic study of German, Czech, and Russian
Adobe PDF - 272.4 KB - MD5: 04c30a8447fa39ebb0b08cd7ff09ca75
05_Stimuli.zip
Jun 3, 2026 - Background data for: Exploring time-telling expressions: A cross-linguistic study of German, Czech, and Russian
ZIP Archive - 3.1 MB - MD5: 129b08122a77cb5db0266ed0b88da799
06_Data_Czech.csv
Jun 3, 2026 - Background data for: Exploring time-telling expressions: A cross-linguistic study of German, Czech, and Russian
Comma Separated Values - 7.1 KB - MD5: a8de2afebcbeb10923e88c852d4b073d
07_Data_German.csv
Jun 3, 2026 - Background data for: Exploring time-telling expressions: A cross-linguistic study of German, Czech, and Russian
Comma Separated Values - 5.5 KB - MD5: ab704f1b4f8c66d268405d6b3b1d06c7
08_Data_Russian.csv
Jun 3, 2026 - Background data for: Exploring time-telling expressions: A cross-linguistic study of German, Czech, and Russian
Comma Separated Values - 8.3 KB - MD5: 4493980d2875b797b1579e64e0790d69
00_README.txt
Jun 3, 2026 - Supplementary material for "Heterogeneity in postprandial glucose-insulin and triacylglycerol dynamics and associations with plasma metabolome and body composition in obesity"
Plain Text - 12.8 KB - MD5: 200cbb90622729f675c21c0943408e28
00_README.txt
Jun 3, 2026 - Replication Data for: Modeling monophthongal versus diphthongal /aɪ/ in sung vocal performance with interpretable machine learning
Plain Text - 15.1 KB - MD5: 2d15149d3af5d14653033961ed323449
File documenting the dataset and the contents of each data file.
formant_features.csv
Jun 3, 2026 - Replication Data for: Modeling monophthongal versus diphthongal /aɪ/ in sung vocal performance with interpretable machine learning
Comma Separated Values - 557.1 KB - MD5: ebd7f2e6d1c474b35a25ee7f6dad7cf4
File containing engineered acoustic features for the same 1,004 /aɪ/ tokens (1,004 rows, 39 columns). Each row is a single vowel token, identified by vowel_id, with its perceptual label, vowel duration, a set of trajectory-based acoustic features derived from the F1 and F2 formants, and two phonological context variables. This file was used to trai...
Add Data

Log in to create a dataverse or add a dataset.

Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.