Metrics
2,166,486 Downloads
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 135,356 Results
Plain Text - 13.1 KB - MD5: cf23ed68df00cedb52abfcc98fc66db3
This file contains the necessary information about the data and the file containing the dataset.
Comma Separated Values - 250.8 KB - MD5: f43860254a5fd99e9d9ff989826c87d0
Absolute Horizontal Storminess and Range Intensity derived from magnetic observations made at Tromsø Auroral Observatory for years 1930-1965
Jun 8, 2026 - University of South-Eastern Norway
Stensby, marte, 2026, "R scripts and data for "Surf's up; summer peak flows reduce offspring survival in a semi-aquatic species, the Eurasian beaver" 2026", https://doi.org/10.18710/F5WGQQ, DataverseNO, V1
Climate change affects the hydrological cycle and alters flow patterns including the timing, frequency and magnitude of floods. Similar changes can occur when rivers are regulated for hydropower use which can be detrimental to many species during the reproductive period. Little is known about how flooding affects offspring survival in semiaquatic m...
R Syntax - 68.5 KB - MD5: 14fd0a7bd8471b1e8e1f3ffa22addb6b
script containing all analyses
Jun 3, 2026 - TROLLing
De Timmerman, Romeo; Verbeke, Gil, 2026, "Replication Data for: Modeling monophthongal versus diphthongal /aɪ/ in sung vocal performance with interpretable machine learning", https://doi.org/10.18710/RDU8M2, DataverseNO, V1
Dataset description This dataset contains replication data for the study "Modeling monophthongal versus diphthongal /aɪ/ in sung vocal performance with interpretable machine learning" (De Timmerman & Verbeke, 2026). The study investigates how binary perceptual annotations of monophthongal versus diphthongal /aɪ/ relate to measurable acoustic variat...
Plain Text - 15.1 KB - MD5: 2d15149d3af5d14653033961ed323449
File documenting the dataset and the contents of each data file.
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.

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.