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Publication Year: 2020

151 to 160 of 1,085 Results

T_simplex_1024D_rounded.csv Dec 18, 2020 - Replication Data for: HOPS: high-performance library for (non-)uniform sampling of convex-constrained models Comma Separated Values - 6.9 MB - SHA-256: b0df89ed2811ea17a75b65ce0e47dba2bd5d275050f845823a97b50fbb04a150
T_simplex_2048D_rounded.csv Dec 18, 2020 - Replication Data for: HOPS: high-performance library for (non-)uniform sampling of convex-constrained models Comma Separated Values - 27.8 MB - SHA-256: 72da3eb445ce993094dcc4bbb49c14af6c69661c4187ddb41d330270d6953c75
T_simplex_256D_rounded.csv Dec 18, 2020 - Replication Data for: HOPS: high-performance library for (non-)uniform sampling of convex-constrained models Comma Separated Values - 445.5 KB - SHA-256: 331969ca8c38cd8c90e2f92964b6ceb2df030d6aaf0a3afb9241a91fb6ae13ef
T_simplex_512D_rounded.csv Dec 18, 2020 - Replication Data for: HOPS: high-performance library for (non-)uniform sampling of convex-constrained models Comma Separated Values - 1.7 MB - SHA-256: 885b291fd2a8bf3f3dd4d3d6dbaae427fd291c9ac6e5c77406b98fa73a7f9037
T_simplex_64D_rounded.csv Dec 18, 2020 - Replication Data for: HOPS: high-performance library for (non-)uniform sampling of convex-constrained models Comma Separated Values - 27.9 KB - SHA-256: 2a76a1b04447cd12241100be6ee6c92ec9d793fafd6056ea12afabb6cee0e159
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

T_simplex_1024D_rounded.csv

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

Comma Separated Values - 6.9 MB - SHA-256: b0df89ed2811ea17a75b65ce0e47dba2bd5d275050f845823a97b50fbb04a150

T_simplex_2048D_rounded.csv

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

Comma Separated Values - 27.8 MB - SHA-256: 72da3eb445ce993094dcc4bbb49c14af6c69661c4187ddb41d330270d6953c75

T_simplex_256D_rounded.csv

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

Comma Separated Values - 445.5 KB - SHA-256: 331969ca8c38cd8c90e2f92964b6ceb2df030d6aaf0a3afb9241a91fb6ae13ef

T_simplex_512D_rounded.csv

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

Comma Separated Values - 1.7 MB - SHA-256: 885b291fd2a8bf3f3dd4d3d6dbaae427fd291c9ac6e5c77406b98fa73a7f9037

T_simplex_64D_rounded.csv

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

Comma Separated Values - 27.9 KB - SHA-256: 2a76a1b04447cd12241100be6ee6c92ec9d793fafd6056ea12afabb6cee0e159

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

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