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3,581 to 3,590 of 4,047 Results
Oct 14, 2021 - Visual database
JPEG Image - 5.0 MB - MD5: 780dbf8f706051d674ba0016d2e588b1
Oct 14, 2021 - Visual database
JPEG Image - 1.0 MB - MD5: 886b527283f72a18c308c8beb1a98514
Oct 14, 2021 - Visual database
Tabular Data - 488.6 KB - 20 Variables, 691 Observations - UNF:6:exGu/0HRHT3Ck5Kgss8m/g==
MATLAB Data - 588.5 KB - MD5: 7c794f1ac7eab733990b8847b48da26d
Processed data used in all aspects of NARX Bf model creation (training, validation, tests). The Bf values are in flux_cell as a MATLAB cell. The input data is in X_cell (Kp) as a MATLAB cell. Time is in time as a MATLAB array. The network is a MATLAB object, netc_best. log10 of B...
MATLAB Data - 973 B - MD5: d7459f413abf48b2b379ddceac3f1419
Input delay (input_delay), feedback delay (feedback_delay) and corresponded cc (cc) and standard deviation (cc_std) of NARX Bf model tests. The test results of hidden neurons is in hidden_neurons MALTAB structure.
MATLAB Data - 576.6 KB - MD5: 8a7195aafd2c4d261d1da2340800b16e
Comparison of the CRESS observations and VERB code simulations. bf and kp are MATLAB structures. time, L* and log10(flux) of CRESS observations (CRESS), VERB code simulations with constant upper boundary conditions (VERB_const) and VERB code simulations with NARX Bf driven bounda...
Oct 5, 2021 - Jamie Jamison
JAMISON, JINA, 2021, "VSim: Pantheon test model", https://doi.org/10.25346/S6/CKD1DS, UCLA Dataverse, V1
VSim test model
Unknown - 62.5 MB - MD5: b05c570147f8b857fdd697117e792b0d
VSim test model
Sep 28, 2021 - DIG Dataverse
Patrick V. Kirch; Scarlett Chiu, 2021, "Reconstructed Vessels Catalog", https://doi.org/10.25346/S6/AZMA0V, UCLA Dataverse, V1, UNF:6:jFqfwAxucH29MMuZP7rjJg== [fileUNF]
Reconstructed Vessels Catalog
JPEG Image - 2.6 MB - MD5: 26cea524cff5ec972deaf97b842d260a
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