Social Sciences and Digital Humanities Archive

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Publication Year: 2020

331 to 340 of 392 Results

20190710_Copyright_en_disclaimer_in_DDI_C.docx Feb 24, 2020 - Test dataset dedans sous-sous-Dataverse MS Word - 18.7 KB - MD5: fb0dea71c845d43af053f03d078c9d16
agr logo.jpg Feb 24, 2020 - Test dataset dedans sous-sous-Dataverse JPEG Image - 229.2 KB - MD5: 2b4cc43c5717e9589845b413bac344bb
Replication Data for: Uncertainty propagation through a point model for steady-state two-phase pipe flow Feb 20, 2020 Strand, Andreas, 2020, "Replication Data for: Uncertainty propagation through a point model for steady-state two-phase pipe flow", https://doi.org/10.18710/OWKABR, Social Sciences and Digital Humanities Archive – SODHA [test instance], V1 Code and data for performing uncertainty quantification and sensitivity analysis of a multiphase flow model. The software computes the uncertainty in model predictions in the presence of uncertain input variables. The analysis also determines which variables the predictions are s...
00_ReadMe.txt Feb 20, 2020 - Replication Data for: Uncertainty propagation through a point model for steady-state two-phase pipe flow Plain Text - 658 B - MD5: 79e7caf7442849b2265360d7eb39c83d
mc_functions.py Feb 20, 2020 - Replication Data for: Uncertainty propagation through a point model for steady-state two-phase pipe flow Plain Text - 7.3 KB - MD5: 6751ae5a7540b238c0e2024ac12485a2
mc_input.py Feb 20, 2020 - Replication Data for: Uncertainty propagation through a point model for steady-state two-phase pipe flow Plain Text - 355 B - MD5: 0fb6848b735ad7ab9209c192abd0fef9
mc.py Feb 20, 2020 - Replication Data for: Uncertainty propagation through a point model for steady-state two-phase pipe flow Plain Text - 353 B - MD5: e995d5f332792b25518c6ef4de7bf525
pc_functions.py Feb 20, 2020 - Replication Data for: Uncertainty propagation through a point model for steady-state two-phase pipe flow Plain Text - 7.8 KB - MD5: 03cf469af4103c39cdfc0942edb5246e
pc_input.py Feb 20, 2020 - Replication Data for: Uncertainty propagation through a point model for steady-state two-phase pipe flow Plain Text - 370 B - MD5: 61e61daa130e8a1cc148554ad6ce64cf
pc.py Feb 20, 2020 - Replication Data for: Uncertainty propagation through a point model for steady-state two-phase pipe flow Plain Text - 330 B - MD5: 890f3e6dfc2368c1253cb89f561e9ad5

20190710_Copyright_en_disclaimer_in_DDI_C.docx

Feb 24, 2020 - Test dataset dedans sous-sous-Dataverse

MS Word - 18.7 KB -

agr logo.jpg

Feb 24, 2020 - Test dataset dedans sous-sous-Dataverse

JPEG Image - 229.2 KB -

Replication Data for: Uncertainty propagation through a point model for steady-state two-phase pipe flow

Feb 20, 2020

Strand, Andreas, 2020, "Replication Data for: Uncertainty propagation through a point model for steady-state two-phase pipe flow", https://doi.org/10.18710/OWKABR, Social Sciences and Digital Humanities Archive – SODHA [test instance], V1

Code and data for performing uncertainty quantification and sensitivity analysis of a multiphase flow model. The software computes the uncertainty in model predictions in the presence of uncertain input variables. The analysis also determines which variables the predictions are s...

00_ReadMe.txt

Feb 20, 2020 - Replication Data for: Uncertainty propagation through a point model for steady-state two-phase pipe flow

Plain Text - 658 B -

mc_functions.py

Feb 20, 2020 - Replication Data for: Uncertainty propagation through a point model for steady-state two-phase pipe flow

Plain Text - 7.3 KB -

mc_input.py

Feb 20, 2020 - Replication Data for: Uncertainty propagation through a point model for steady-state two-phase pipe flow

Plain Text - 355 B -

mc.py

Feb 20, 2020 - Replication Data for: Uncertainty propagation through a point model for steady-state two-phase pipe flow

Plain Text - 353 B -