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1,321 to 1,330 of 2,675 Results
Jan 3, 2020
Hernes, Vilde, 2020, "Dataset on Immigrant Integration Governance (DIIG)", https://doi.org/10.18710/ZMJLZT, DataverseNO, V1
The dataset documents the ministerial structure of the immigration and integration field in 16 Western European countries (EU15 + Norway) from 1997 to 2017, including variables for country, year, descriptive account of structural change, title of ministry and miniter responsible for integration, title of ministry responsible for immigration, type o...
Adobe PDF - 652.1 KB - MD5: 2b012e2a6ed9d4e86287319effc86aa0
Comma Separated Values - 112.8 KB - MD5: 0d7c8cf0b5cf6ec22091b5c5f836a4b7
Adobe PDF - 290.5 KB - MD5: 7b6dba3adf65bac1901fdf1476c7be1b
Nov 20, 2023
Rockenberger, Annika; Sjølie, Loke; Bøe, Hilde, 2023, "Correspondence Metadata from the Digital Scholarly Edition of Edvard Munch's Writings", https://doi.org/10.18710/TAFUSV, DataverseNO, V1
The eMunch dataset contains correspondence metadata of 8.527 letters to and from the Norwegian painter Edvard Munch (1863-1944). The dataset is derived from the digital scholarly edition of Edvard Munch's Writings, eMunch.no, edited by Hilde Bøe, The Munch Museum, Oslo. The eMunch dataset is part of the NorKorr - Norwegian Correspondences project t...
Plain Text - 15.1 KB - MD5: 6f5e9cafee0deb3c7a020e83d842f98f
README file for the eMunch dataset
XML - 3.9 MB - MD5: bb02cd1f2b6a30696feb2e23e11757ec
XML file containing metadata of 8.527 letters from the Edvard Munch digital edition eMunch.no in the CMI format.
Mar 29, 2023
Baumbusch, Lars Oliver, 2023, "Expression data to the study: Long non-coding RNAs in hypoxia and oxidative stress - novel insights investigating a piglet model of perinatal asphyxia.", https://doi.org/10.18710/JIQKEU, DataverseNO, V1
A total of 42 newborn piglets were randomized into four study arms: 1. hypoxia-normoxic reoxygenation, 2. hypoxia-3 minutes of hyperoxic reoxygenation, 3. hypoxia-30 minutes of hyperoxic reoxygenation, and 4. sham-operated controls. Expression of the lncRNAs BDNF-AS, H19, MALAT1, ANRIL, TUG1, PANDA and related target genes VEGFA, BDNF, TP53, HIF1al...
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