Metrics
1,752,137 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

130,821 to 130,830 of 131,244 Results
Plain Text - 350 B - MD5: 7365ce2292231bf72784d35b64ce483c
Figure 1: S-Curve
This file contains the data used to generate Figure 1, showing the proportion of the ReflN (innovative possessive construction) plotted against year of birth for authors of literary works. The file has eleven rows, one for each author in our database. Column A shows the name of e...
Adobe PDF - 163.2 KB - MD5: 1a76814281cb14c6a9a12ad7331f6207
Figure 1: S-Curve
This is a pdf of Figure 1.
Apr 5, 2016 - TROLLing
Nesset, Tore, 2016, "Replication data for: Spøkelsesfiske, makrellfotball og traktoregg: norske sammensetninger og konseptuell integrasjon", https://doi.org/10.18710/R4E1EW, DataverseNO, V1
This database is part of a study of Norwegian compounds from the perspective of cognitive linguistics and conceptual integration published in the Norwegian journal Maal og Minne. The database contains a large number of compounds based on the word fiske ‘fishing’. Here is some inf...
Plain Text - 2.0 KB - MD5: cfd2528325975822d6a1061b8cea2285
Annotation of database: Read me
Overview of the tagging of the database
Plain Text - 345.0 KB - MD5: 7f11926b2010170b40e7ccc405afdebc
Database in txt format
Database as tab-separated txt document
Apr 4, 2016 - TROLLing
Hartmann, Stefan, 2016, "Replication data for: Hartmann (2016): Word-Formation Change", https://doi.org/10.18710/CVQPYG, DataverseNO, V2
These data contain corpus concordances from a diachronic study of German nominalization patterns, reported on in Hartmann (forhc.), investigating three word-formation patterns on the basis of two corpora: a) nominalization with the suffix -ung, b) infinitival nominalization, c) v...
Plain Text - 1.7 MB - MD5: e5d914a60fcff18f80301a530a2c55bc
concordance
ung-nominals in the GerManC corpus (minor corrections 04/04/2016 - most special characters should now be displayed correctly)
Mar 29, 2016 - TROLLing
Endresen, Anna; Janda, Laura A.; Reynolds, Robert; Tyers, Francis M., 2016, "Replication data for: Who needs particles? A challenge to the classification of particles as a part of speech in Russian", https://doi.org/10.18710/700FNV, DataverseNO, V1
In 1985, Zwicky argued that “particle” is a pretheoretical notion that should be eliminated from linguistic analysis. We propose a reclassification of Russian particles that implements Zwicky’s directive. Russian particles lack a coherent conceptual basis as a category and many a...
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.