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MD5: 0a230c2d38546dc74021c5d1eaa5e4c3
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Adobe PDF - 298.1 KB -
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MS Word - 51.4 KB -
MD5: eb1bc6a2d8d39e195ffb7675181206ec
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Adobe PDF - 261.6 KB -
MD5: 28e287111221a022f053ec71913dbf3d
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Feb 28, 2019
Baharmand, Hossein, 2019, "GAMS files for the multi-objective models to locate temporary distribution centers after sudden-onset disasters", https://doi.org/10.18710/5DGE7C, DataverseNO, V1
These are the GAMS file with some a sample dataset that model locating temporary distribution centers after sudden-onset disasters. Required input data should be changed in the front. |
Feb 28, 2019 -
GAMS files for the multi-objective models to locate temporary distribution centers after sudden-onset disasters
Plain Text - 214 B -
MD5: 95a914b23326b306e5f8b8fb0031c06b
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Feb 28, 2019 -
GAMS files for the multi-objective models to locate temporary distribution centers after sudden-onset disasters
Unknown - 47.0 KB -
MD5: 0815a3c20301845b2384881cb89b2bb3
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Feb 28, 2019 -
GAMS files for the multi-objective models to locate temporary distribution centers after sudden-onset disasters
Unknown - 22.3 KB -
MD5: 50b7a84b2ca4729e72eae8b432680869
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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. |