Jülich DATA

Metrics

163,408 Downloads

Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Type: (files OR dataverses OR datasets)

18,761 to 18,770 of 19,712 Results

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
Metabolic Networks Dec 18, 2020Institute of Bio- and Geosciences – Biotechnology (IBG-1) This dataverse contains models and data related to metabolic networks and fluxomics.
Institute of Bio- and Geosciences – Biotechnology (IBG-1)(Forschungszentrum Jülich) Dec 18, 2020 The dataverse of the Institute of Bio- and Geosciences – Biotechnology (IBG-1)
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.
Peter Grünberg Institute – Semiconductor Nanoelectronics (PGI-9)(Forschungszentrum Jülich ) Dec 16, 2020 The dataverse of the Peter Grünberg Institute – Semiconductor Nanoelectronics (PGI-9)
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

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

Metabolic Networks

Dec 18, 2020Institute of Bio- and Geosciences – Biotechnology (IBG-1)

This dataverse contains models and data related to metabolic networks and fluxomics.

Institute of Bio- and Geosciences – Biotechnology (IBG-1)(Forschungszentrum Jülich)

Dec 18, 2020

The dataverse of the Institute of Bio- and Geosciences – Biotechnology (IBG-1)

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.

Peter Grünberg Institute – Semiconductor Nanoelectronics (PGI-9)(Forschungszentrum Jülich )

Dec 16, 2020

The dataverse of the Peter Grünberg Institute – Semiconductor Nanoelectronics (PGI-9)

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

Add Data

Share Dataverse

Link Dataverse

Reset Modifications