Metrics
1,769,449 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

127,461 to 127,470 of 131,864 Results
Jun 7, 2019 - UiT The Arctic University of Norway
Aanesen, Margrethe, 2019, "Replication data for: Do we choose differently after a discussion?", https://doi.org/10.18710/XG6CYW, DataverseNO, V2, UNF:6:as+Ai3+NsC9FHXaUL0sJ/Q== [fileUNF]
The data is collected through 7 valuation workshops implemented in 7 Irish municipalities during autumn 2014. The workshops encompassed several steps; first the participants were informed about cold-water coral (CWC), next they individually filled in a survey including a quiz on CWC and 12 choice cards, then they were divided into small groups and...
Plain Text - 6.1 KB - MD5: f86e5f539800450950eac4efe93adcff
Plain Text - 292.8 KB - MD5: 31ec0d3e80624db060d69650ad230a71
Jun 6, 2019 - TROLLing
Lorenz, David; Tizón-Couto, David, 2019, "Replication data for: Chunking or predicting – frequency information and reduction in the perception of multi-word sequences", https://doi.org/10.18710/7TSABU, DataverseNO, V1, UNF:6:/bvw/86x+A+n0yewX4UV7A== [fileUNF]
This is the data and code from a word-monitoring task, in which participants responded to the word 'to' in verb + to-infinitive structures (V-to-Vinf) in English, where 'to' could occur in a full or reduced pronunciation. Accuracy and response times were analysed with mixed-effects generalized additive models (GAMM); the code also includes visualis...
Plain Text - 8.3 KB - MD5: ab842df2a5d9114643a2ce86c3130552
Documentation
Description of the data sets
Plain Text - 25.0 KB - MD5: 59f0e6205722082c189644cf640b854b
Code
mixed-effects generalized additive model (GAMM) for accuracy, and visualizations of the results
R Data - 309.0 KB - MD5: 5305268bb0abaf0d3a129ce48a983aa3
Data
R data frames sall_results, sall_clean, sall_items, sall_target
Plain Text - 30.6 KB - MD5: a15ee576d24ea22b34c1ea5eabd5b971
Code
mixed-effects generalized additive model (GAMM) for response times, and visualizations of the results
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.