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Apr 16, 2024 - University of Agder
Alhassan, Alhassan Yakubu, 2024, "Social networks among decision making actors in an urban development in a Norwegian Municipality", https://doi.org/10.18710/DKZAFO, DataverseNO, V1
The dataset was collected for a PhD project aimed at analysing the networks and relationships among actors in an urban road expansion project in a Norwegian Municipality. The data was gathered through a combination of document reviews and semi-structured interviews. It consist of...
Plain Text - 5.5 KB - MD5: d4ca351ec921a2e557108b602c855028
This file contains the documentation of the dataset including the data collection strategies, ethical considerations and organisation of the files.
Comma Separated Values - 2.2 KB - MD5: 6430768f9895fcf99e6ea32a2171f6ee
The file contain data on the information sharing network. It describes the network links of actors who share information with each other in the decision making process.
Comma Separated Values - 842 B - MD5: d92e1877679a3f899d7f312238f6f5f1
The file contains the meeting network data that shows others that attended a meeting together and the number of times they appear in the same meeting together.
Comma Separated Values - 1.5 KB - MD5: 08769f52423667c1386a27025ffbac93
The file contains basic information for describing the participants in that took part in the decision making process the project. Information concerning the sector, gender, age, lelvel of education, work_length and attitudes towards the project.
Apr 16, 2024 - University of Bergen
Miettinen, Markus S.; Lipowsky, Reinhardt, 2024, "Supporting Data for: Bilayer Membranes with Frequent Flip-Flops Have Tensionless Leaflets", https://doi.org/10.18710/QMVICT, DataverseNO, V1
Dataset contains long MARTINI (v 2.2) simulations of GM1-containing lipid membranes of POPC (POPC = 1-palmitoyl-2-oleoyl-glycero-3-phosphocholine, GM1 = ganglioside GM1 or monosialotetrahexosylganglioside). Only one monolayer contains GM1s and the opposite monolayer contains the...
Plain Text - 9.3 KB - MD5: 8528c2d25cbafeaac6ac77fdd494e5d5
Standard description of the dataset
Unknown - 1.3 GB - MD5: fa612d6cca1683bc5a1e3b820b41c334
Unknown - 64.2 GB - MD5: 9de7abdf9db71620aee71c347d6a5c43
Unknown - 64.2 GB - MD5: 6493ab5e1e47d7c667a746bae7f4167b
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