The Space Physics Environment Data Analysis System (SPEDAS)

Autor: Angelopoulos, V, Cruce, P, Drozdov, A, Grimes, EW, Hatzigeorgiu, N, King, DA, Larson, D, Lewis, JW, McTiernan, JM, Roberts, DA, Russell, CL, Hori, T, Kasahara, Y, Kumamoto, A, Matsuoka, A, Miyashita, Y, Miyoshi, Y, Shinohara, I, Teramoto, M, Faden, JB, Halford, AJ, McCarthy, M, Millan, RM, Sample, JG, Smith, DM, Woodger, LA, Masson, A, Narock, AA, Asamura, K, Chang, TF, Chiang, C-Y, Kazama, Y, Keika, K, Matsuda, S, Segawa, T, Seki, K, Shoji, M, Tam, SWY, Umemura, N, Wang, B-J, Wang, S-Y, Redmon, R, Rodriguez, JV, Singer, HJ, Vandegriff, J, Abe, S, Nose, M, Shinbori, A, Tanaka, Y-M, UeNo, S, Andersson, L, Dunn, P, Fowler, C, Halekas, JS, Hara, T, Harada, Y, Lee, CO, Lillis, R, Mitchell, DL, Argall, MR, Bromund, K, Burch, JL, Cohen, IJ, Galloy, M, Giles, B, Jaynes, AN, Le Contel, O, Oka, M, Phan, TD, Walsh, BM, Westlake, J, Wilder, FD, Bale, SD, Livi, R, Pulupa, M, Whittlesey, P, DeWolfe, A, Harter, B, Lucas, E, Auster, U, Bonnell, JW, Cully, CM, Donovan, E, Ergun, RE, Frey, HU, Jackel, B, Keiling, A, Korth, H, McFadden, JP, Nishimura, Y, Plaschke, F, Robert, P, Turner, DL, Weygand, JM, Candey, RM, Johnson, RC, Kovalick, T, Liu, MH, McGuire, RE, Breneman, A

Publikováno v: Space science reviews, vol 215, iss 1

With the advent of the Heliophysics/Geospace System Observatory (H/GSO), acomplement of multi-spacecraft missions and ground-based observatories to study the space environment, data retrieval, analysis, and visualization of space physics data can be

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::a5b3bf425639e0c6a7cea2791fb02ddd
https://escholarship.org/uc/item/0rd2j5m0

The emergence of 'family integrity' in later life.

Autor: King DA (AUTHOR), Wynne LC (AUTHOR)

Publikováno v: Family Process. Mar2004, Vol. 43 Issue 1, p7-21. 15p.

Clinically feasible brain morphometric similarity network construction approaches with restricted magnetic resonance imaging acquisitions

Autor: King, Daniel J., Wood, Amanda G.

Publikováno v: Network Neuroscience, Vol 4, Iss 1, Pp 274-291 (2020)

Morphometric similarity networks (MSNs) estimate organization of the cortex as a biologically meaningful set of similarities between anatomical features at the macro- and microstructural level, derived from multiple structural MRI (sMRI) sequences. T

Externí odkaz: https://doaj.org/article/054ec273c7ec46918aa80fa91ad2e034

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