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62,921 to 62,930 of 67,773 Results
We442_noise_step1_velv2.tar.gz
May 25, 2021 - Data for: Numerical study of head-on droplet collisions at high Weber numbers
Gzip Archive - 72.2 GB - MD5: 9a93f244cbf09f9eb8c3adcfe55137d8
Dieses Archiv beinhaltet einen Teil (velv Dateien (2/3) von funs, pres, velv Dateien) vom 2. Teil der Simulation mit der Weber-Zahl We = 442 mit initialer Störung im Geschwindigkeitsfeld.
We442_noise_step1_velv3.tar.gz
May 25, 2021 - Data for: Numerical study of head-on droplet collisions at high Weber numbers
Gzip Archive - 10.1 GB - MD5: 028d9b496213f88dc42bbcfdb14d4cd9
Dieses Archiv beinhaltet einen Teil (velv Dateien (3/3) von funs, pres, velv Dateien) vom 2. Teil der Simulation mit der Weber-Zahl We = 442 mit initialer Störung im Geschwindigkeitsfeld.
We442_set.tar.gz
May 25, 2021 - Data for: Numerical study of head-on droplet collisions at high Weber numbers
Gzip Archive - 2.8 GB - MD5: 067ffa84ef06486c6c70e608c104ab21
Dieses Archiv enthält die Ergebnisse von 10 Simulationen mit der Weber-Zahl We = 442 mit unterschiedlichen initialen Störungen im Geschwindigkeitsfeld.
We442_step0.tar.gz
May 25, 2021 - Data for: Numerical study of head-on droplet collisions at high Weber numbers
Gzip Archive - 9.6 GB - MD5: 20fc30e876641b8ec35938920432d0db
Teil 1 der Simulation mit der Weber-Zahl We = 442.
We442_step1.tar.gz
May 25, 2021 - Data for: Numerical study of head-on droplet collisions at high Weber numbers
Gzip Archive - 37.9 GB - MD5: 5edb9d8512370ba55f21ab661d7e2f25
Teil 2 der Simulation mit der Weber-Zahl We = 442. Bei diesem Datensatz sind leider nicht mehr für alle Zeitschritte die im xmf-file eingetragenen funs, pres und velv-Felder vorhanden!
We805_noise.tar.gz
May 25, 2021 - Data for: Numerical study of head-on droplet collisions at high Weber numbers
Gzip Archive - 202.2 MB - MD5: c0261ed69b9d122e950dfd48c3ac4307
We805.tar.gz
May 25, 2021 - Data for: Numerical study of head-on droplet collisions at high Weber numbers
Gzip Archive - 192.3 MB - MD5: 41e0b36071cf3ad3906ee23af46bd6d4
documentation.pdf
documentation.pdf
May 21, 2021 - A Data Set for Research on Data-based Methods for an Omnidirectional Mobile Robot
Adobe PDF - 2.2 MB - MD5: faaf50d668131d5792fc18dc263947ba
a short introduction into the training data and its purpose
messung1.mat
May 21, 2021 - A Data Set for Research on Data-based Methods for an Omnidirectional Mobile Robot
MATLAB Data - 754.8 KB - MD5: 77f69e59ded4a67acc231c28e451b569
training data set 1
messung2.mat
May 21, 2021 - A Data Set for Research on Data-based Methods for an Omnidirectional Mobile Robot
MATLAB Data - 745.8 KB - MD5: 104873a233e7f2a7126c88073fa3aa22
training data set 2
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