281 to 290 of 326 Results
May 19, 2020
Haugen, Thomas; Seiler, Stephen; Felix, Breitschadel, 2020, "40m sprint mechanics dataset male and female athletes UiA/Olympiatoppen", https://doi.org/10.18710/PJONBM, DataverseNO, V1, UNF:6:oQ6Ow9Vn5v38C7gQgFhNuw== [fileUNF]
This data is collected on over 600 Norwegian athletes from different sports performing 40m sprint tests under highly controlled conditions. The data was collected as part of training monitoring. The data forms the background for several published studies. |
Plain Text - 6.2 KB -
MD5: e2783d3c4f2c148f3691778d0d92ee83
This is a description of the dataset. |
Tabular Data - 150.9 KB - 15 Variables, 667 Observations - UNF:6:oQ6Ow9Vn5v38C7gQgFhNuw==
Full data for 666 40m sprint tests on male and female athletes from multiple sports. Data includes 10, 20, and 30m intermediate times as well as derived variables |
Plain Text - 52.6 KB -
MD5: 1222e432ccd7f8d1a07f8ac41189b920
This is a text file version of the excel file. |
May 9, 2020
Johannessen, Hilde Terese Drivenes, 2017, "Alma implementation in Norwegian Academic libraries", https://doi.org/10.18710/EBH77W, DataverseNO, V2
This survey was issued anonymously to all members of staff in Norwegian academic libraries. The main target of the survey was to investigate how the implementation of the new library system Alma was experienced. The survey was issued in Norwegian. Staff in Norwegian academic libr... |
May 9, 2020 -
Alma implementation in Norwegian Academic libraries
Plain Text - 2.2 KB -
MD5: 48635ef880d26f672fec8c6c2804180f
Description of the dataset. |
May 9, 2020
Bjørnarå, Helga Birgit Torgeirsdotter, 2020, "Replication Data for: Cartobike transcripts focus group interviews", https://doi.org/10.18710/D4TLO3, DataverseNO, V1
This dataset contains replication data for our journal article "Cumbersome but desirable – breaking the code of everyday cycling". The dataset includes the transcripts (one file for each transcript) from the nine focus group interviews conducted as the qualitative part of the pro... |
Plain Text - 5.1 KB -
MD5: 57bb1ab6270c151cd32e25cb4a4a7611
ReadMe-file contains data description. |
MS Word - 67.5 KB -
MD5: 5212bc3baaadf0aa5a4e1f17829236ed
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Adobe PDF - 291.0 KB -
MD5: 52e1340333c6188c35beb426645c0dd6
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