Metrics
3,002,388 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

501 to 510 of 147,579 Results
DPA.pdf
Sep 18, 2026 - Replication Data for: What matters most? Predicting Language Outcomes in Heritage German Children and Societal Norwegian: The Role of Individual Differences
Adobe PDF - 365.4 KB - MD5: 523e1179b31ddd2ca1836a17760e965e
Data Privacy Assessment
information_sheet_and_consent_form.pdf
Sep 18, 2026 - Replication Data for: What matters most? Predicting Language Outcomes in Heritage German Children and Societal Norwegian: The Role of Individual Differences
Adobe PDF - 187.6 KB - MD5: 98ffbfd3bd2aa228381b7565aa2316f3
Information sheet and consent form for caregivers on behalf of child participants.
Q-BEx_output_2026-09-04.csv
Sep 18, 2026 - Replication Data for: What matters most? Predicting Language Outcomes in Heritage German Children and Societal Norwegian: The Role of Individual Differences
Comma Separated Values - 209.4 KB - MD5: 5a55d03ae0118c83028cc512ef12f823
Q-BEx questionnaire output data
SRT_german_scoring_2026-09-12.csv
Sep 18, 2026 - Replication Data for: What matters most? Predicting Language Outcomes in Heritage German Children and Societal Norwegian: The Role of Individual Differences
Comma Separated Values - 277.9 KB - MD5: c09833efca1ff8f513c928fb759cba24
Transcript and scoring of German version of LITMUS SRT
SRT_norwegian_scoring_2026-09-12.csv
Sep 18, 2026 - Replication Data for: What matters most? Predicting Language Outcomes in Heritage German Children and Societal Norwegian: The Role of Individual Differences
Comma Separated Values - 268.7 KB - MD5: 8dc706e356f6986f31b93cddaef98b46
Transcript and scoring of Norwegian version of LITMUS SRT
FishSim: A Comprehensive Dataset of Fish Geometry, Biomechanics and Contact Friction for Fish Processing Simulation
Sep 16, 2026 - NTNU – Norwegian University of Science and Technology
Bhat Ishfaq Ahmad; Mortensen, Magnus; Karlsen, Benjamin; Norman, Andreas F.; Giske, Lars André; Bjelland, Øystein; Hansen, Irina-Emily; Zhang, Houxiang; Mork, Ola Jon, 2026, "FishSim: A Comprehensive Dataset of Fish Geometry, Biomechanics and Contact Friction for Fish Processing Simulation", https://doi.org/10.18710/OY9QWA, DataverseNO, V2
FishSim is a simulation-oriented physical characterisation dataset for deformable fish-machine interaction, collected during two field campaigns in Norway: Batsfjord in Finnmark (January 2026) and Borgundfjord near Alesund in More og Romsdal (March 2026). It covers 160 whole, ungutted wild-caught fish - mainly Atlantic cod and haddock, with smaller...
00_README.txt
Sep 16, 2026 - FishSim: A Comprehensive Dataset of Fish Geometry, Biomechanics and Contact Friction for Fish Processing Simulation
Plain Text - 5.6 KB - MD5: a86ae415f7ebbc1ef9d9620c41799735
Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data
Sep 15, 2026 - University of Inland Norway
Chidimma Echebiri; Ellefsen, Stian; Ahmad, Rafi; Hammarström, Daniel, 2026, "Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data", https://doi.org/10.18710/I7U71O, DataverseNO, V2
The datasets in this repository contain simulated data and results from analyses of them, together with the results of a DNA methylation case study, which can be used to replicate the results in the paper "seqwrap: an R package for flexible iterative fitting of high-dimensional data". The files are organised in two groups by their directory label:...
00_README.txt
Sep 15, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data
Plain Text - 8.9 KB - MD5: 182f175ab88d50db5467116bbe145da4
beta_reml-meta.RDS
Sep 15, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data
Unknown - 275 B - MD5: f1095a73b28222aca2ece69580d95845
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.