Looking for TROLLing? Click here: https://trolling.uit.no/
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

3,351 to 3,360 of 11,098 Results
Comma Separated Values - 7.3 KB - MD5: c7f2518c08c2ee31aec6412f0de40ee0
Zooplankton sample collection information
Comma Separated Values - 455 B - MD5: e8511572697512d0310f94973eb843c0
Taxonomic assignment of DNA sequences according to BLAST database accessed online
Comma Separated Values - 2.6 MB - MD5: da0aa7b50071f0f4cc2b33dd13169a5c
Taxonomic assignment of DNA sequences according to BOLD database accessed through R using package bold
Unknown - 11.3 KB - MD5: 3f668b77a72a7fdf5d2211b05bb52589
R code used to produce the results and figures related to the particle tracking analysis
Gzip Archive - 690.7 MB - MD5: dd3e4b8ac90602c171abe5e4b61b9205
Results of particles tracking analysis for fall release (August 23, 2017) at 130 m depth
Gzip Archive - 927.1 MB - MD5: a4d910e05d90abab260c1465a9e52fcb
Results of particles tracking analysis for fall release (August 23, 2017) at 20 m depth
R Data - 217.6 MB - MD5: b65294cb979f8c6d90752277a1c65b17
Results of particles tracking analysis for the Skagerrak release in January 2018 at 20 m depth
Gzip Archive - 690.7 MB - MD5: bbc0475183dbde7bce9a87376ccb2051
Results of particles tracking analysis for summer release (May 10, 2018) at 130 m depth
Gzip Archive - 924.3 MB - MD5: 92f03b37c293e70a6746e3500c8d7222
Results of particles tracking analysis for summer release (May 10, 2018) at 20 m depth
Oct 20, 2022
Nierenberg, Ellen, 2022, "Replication Data for: A Three-Year Mixed Methods Study of Undergraduates’ Information Literacy Development: Knowing, Doing, and Feeling", https://doi.org/10.18710/SK0R1N, DataverseNO, V1
This data set contains the replication data and supplements for the article "Knowing, Doing, and Feeling: A three-year, mixed-methods study of undergraduates’ information literacy development." The survey data is from two samples: - cross-sectional sample (different students at t...
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.