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18,081 to 18,090 of 19,010 Results

T_simplex_64D_unrounded.csv Dec 18, 2020 - Replication Data for: HOPS: high-performance library for (non-)uniform sampling of convex-constrained models Comma Separated Values - 8.0 KB - SHA-256: 3a05d31942c6dcf688b614bc566f9efe5b20caa8a5a7c385efc3f37d69bdff1b
Source-Data-GeTe-Nanowires.xlsx Dec 16, 2020 - Data for: Flux periodic oscillations and phase-coherent transport in GeTe nanowire-based devices MS Excel Spreadsheet - 1.5 MB - SHA-256: 60dc3f3e9c729366803a0332ad5768c1ce0904afe9e606d7cca0766e6694a406 Flux periodic oscillations and phase-coherent transport in GeTe nanowire-based devices: Source data underlying Figs. 1-4 and Supplementary Figs. S3, S6, and S8.
BehavDataOldSubj.xlsx Dec 9, 2020 - Data for: Stimulus transformation into motor action: dynamic graph analysis reveals a posterior-to-anterior shift in brain network communication of older subjects MS Excel Spreadsheet - 13.2 KB - SHA-256: 5186b5e8e57fb29e25a6032385999a2e95166e2a9483ce720a6dab61796301b3
BehavDataYoungSubj.xlsx Dec 9, 2020 - Data for: Stimulus transformation into motor action: dynamic graph analysis reveals a posterior-to-anterior shift in brain network communication of older subjects MS Excel Spreadsheet - 12.2 KB - SHA-256: fce0a0cd4a8f62a2fdb1778c91994d00427060ba60cd323e65523b25f69507f2
dataset_description.json Dec 9, 2020 - Data for: Stimulus transformation into motor action: dynamic graph analysis reveals a posterior-to-anterior shift in brain network communication of older subjects JSON - 276 B - SHA-256: 82bd306403e458773991dc62f3f540d08be4daeeb75cb771517160255a12486e
participants.json Dec 9, 2020 - Data for: Stimulus transformation into motor action: dynamic graph analysis reveals a posterior-to-anterior shift in brain network communication of older subjects JSON - 504 B - SHA-256: 9d13cf31db6d0618ced9cbb28f58fd20b582a34c257060b01988c37a932a4160
participants.tsv Dec 9, 2020 - Data for: Stimulus transformation into motor action: dynamic graph analysis reveals a posterior-to-anterior shift in brain network communication of older subjects Tab-Separated Values - 782 B - SHA-256: fc49ab8c967aea546651f18b0fd19e6f81a7ce345a36425209a1e31cd39b16b6
README Dec 9, 2020 - Data for: Stimulus transformation into motor action: dynamic graph analysis reveals a posterior-to-anterior shift in brain network communication of older subjects Plain Text - 374 B - SHA-256: 0a3fcaaa24f3d98a7812dc444c01a02ad61b67432c274864e4fa3edbf3a8b942
sub-001_task-extstim_channels.tsv Dec 9, 2020 - Data for: Stimulus transformation into motor action: dynamic graph analysis reveals a posterior-to-anterior shift in brain network communication of older subjects Tab-Separated Values - 719 B - SHA-256: fee633e4d0abc405221aff7e9366087aab6df82e40cce76ede138e409133a805
sub-001_task-extstim_coordsystem.json Dec 9, 2020 - Data for: Stimulus transformation into motor action: dynamic graph analysis reveals a posterior-to-anterior shift in brain network communication of older subjects JSON - 55 B - SHA-256: 4e2275735fa8696b6d91461d9c067c252f34e947da273558dc9257ff3947992a

T_simplex_64D_unrounded.csv

Dec 18, 2020 - Replication Data for: HOPS: high-performance library for (non-)uniform sampling of convex-constrained models

Comma Separated Values - 8.0 KB - SHA-256: 3a05d31942c6dcf688b614bc566f9efe5b20caa8a5a7c385efc3f37d69bdff1b

Source-Data-GeTe-Nanowires.xlsx

Dec 16, 2020 - Data for: Flux periodic oscillations and phase-coherent transport in GeTe nanowire-based devices

MS Excel Spreadsheet - 1.5 MB - SHA-256: 60dc3f3e9c729366803a0332ad5768c1ce0904afe9e606d7cca0766e6694a406

Flux periodic oscillations and phase-coherent transport in GeTe nanowire-based devices: Source data underlying Figs. 1-4 and Supplementary Figs. S3, S6, and S8.

BehavDataOldSubj.xlsx

Dec 9, 2020 - Data for: Stimulus transformation into motor action: dynamic graph analysis reveals a posterior-to-anterior shift in brain network communication of older subjects

MS Excel Spreadsheet - 13.2 KB - SHA-256: 5186b5e8e57fb29e25a6032385999a2e95166e2a9483ce720a6dab61796301b3

BehavDataYoungSubj.xlsx

Dec 9, 2020 - Data for: Stimulus transformation into motor action: dynamic graph analysis reveals a posterior-to-anterior shift in brain network communication of older subjects

MS Excel Spreadsheet - 12.2 KB - SHA-256: fce0a0cd4a8f62a2fdb1778c91994d00427060ba60cd323e65523b25f69507f2

dataset_description.json

Dec 9, 2020 - Data for: Stimulus transformation into motor action: dynamic graph analysis reveals a posterior-to-anterior shift in brain network communication of older subjects

JSON - 276 B - SHA-256: 82bd306403e458773991dc62f3f540d08be4daeeb75cb771517160255a12486e

participants.json

Dec 9, 2020 - Data for: Stimulus transformation into motor action: dynamic graph analysis reveals a posterior-to-anterior shift in brain network communication of older subjects

JSON - 504 B - SHA-256: 9d13cf31db6d0618ced9cbb28f58fd20b582a34c257060b01988c37a932a4160

participants.tsv

Dec 9, 2020 - Data for: Stimulus transformation into motor action: dynamic graph analysis reveals a posterior-to-anterior shift in brain network communication of older subjects

Tab-Separated Values - 782 B - SHA-256: fc49ab8c967aea546651f18b0fd19e6f81a7ce345a36425209a1e31cd39b16b6

README

Dec 9, 2020 - Data for: Stimulus transformation into motor action: dynamic graph analysis reveals a posterior-to-anterior shift in brain network communication of older subjects

Plain Text - 374 B - SHA-256: 0a3fcaaa24f3d98a7812dc444c01a02ad61b67432c274864e4fa3edbf3a8b942

sub-001_task-extstim_channels.tsv

Dec 9, 2020 - Data for: Stimulus transformation into motor action: dynamic graph analysis reveals a posterior-to-anterior shift in brain network communication of older subjects

Tab-Separated Values - 719 B - SHA-256: fee633e4d0abc405221aff7e9366087aab6df82e40cce76ede138e409133a805

sub-001_task-extstim_coordsystem.json

Dec 9, 2020 - Data for: Stimulus transformation into motor action: dynamic graph analysis reveals a posterior-to-anterior shift in brain network communication of older subjects

JSON - 55 B - SHA-256: 4e2275735fa8696b6d91461d9c067c252f34e947da273558dc9257ff3947992a

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