Jülich DATA

Metrics

163,076 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: (dataverses OR files)

18,001 to 18,010 of 19,010 Results

b_simplex_512D_unrounded.csv Dec 18, 2020 - Replication Data for: HOPS: high-performance library for (non-)uniform sampling of convex-constrained models Comma Separated Values - 1.0 KB - SHA-256: 1e33f050753873557f2ffab50defa29d2702ed5d04ff80828e37eb56809b3b74
b_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 - 586 B - SHA-256: 6f045f935113421bd23f863641cbbaf1b97ee153783155471b3decbd9421cd9a
b_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 - 129 B - SHA-256: f7e6b1a6fd8f5872f7e216b69b9152ef608baf0765726bc93774ffd7a76ff3e3
e_coli_core.xml Dec 18, 2020 - Replication Data for: HOPS: high-performance library for (non-)uniform sampling of convex-constrained models XML - 482.6 KB - SHA-256: 671c33157ebf07874ea3c5b1928cfd011d127272f62bc6c830da8d58c9975ea9
E.coli_Zamboni2009.fml Dec 18, 2020 - Replication Data for: HOPS: high-performance library for (non-)uniform sampling of convex-constrained models Unknown - 32.2 KB - SHA-256: 3a7f1a8657d10d0ae3ebde39cabe2e316590557d7881095cd2b526a18682e649
iAT_PLT_636.mat Dec 18, 2020 - Replication Data for: HOPS: high-performance library for (non-)uniform sampling of convex-constrained models MATLAB Data - 6.2 MB - SHA-256: b0bedb3b318ee06d3fc6dfdeae896329175f475ea8dac8c67f37c298380def5d
iJO1366.xml Dec 18, 2020 - Replication Data for: HOPS: high-performance library for (non-)uniform sampling of convex-constrained models XML - 10.4 MB - SHA-256: d6d9ec61ef6f155db5bb2f49549119dc13b96f6098b403ef82ea4240b27232eb
N_e_coli_core_rounded.csv Dec 18, 2020 - Replication Data for: HOPS: high-performance library for (non-)uniform sampling of convex-constrained models Comma Separated Values - 29.9 KB - SHA-256: 0b996c62c1ee528842b6620aae4e965602178974c9f247c01fc9843a80cc4f40
N_e_coli_core_unrounded.csv Dec 18, 2020 - Replication Data for: HOPS: high-performance library for (non-)uniform sampling of convex-constrained models Comma Separated Values - 11.1 KB - SHA-256: 472d4b786919299d755c200fe35295de15fb509d0514c738add7e634b1366dbb
N_iAT_PLT_636_rounded.csv Dec 18, 2020 - Replication Data for: HOPS: high-performance library for (non-)uniform sampling of convex-constrained models Comma Separated Values - 3.7 MB - SHA-256: f6fc06ad54ce4a10034a2096820e44dce5e320587ba914d16dac94964694f8b0

b_simplex_512D_unrounded.csv

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

Comma Separated Values - 1.0 KB - SHA-256: 1e33f050753873557f2ffab50defa29d2702ed5d04ff80828e37eb56809b3b74

b_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 - 586 B - SHA-256: 6f045f935113421bd23f863641cbbaf1b97ee153783155471b3decbd9421cd9a

b_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 - 129 B - SHA-256: f7e6b1a6fd8f5872f7e216b69b9152ef608baf0765726bc93774ffd7a76ff3e3

e_coli_core.xml

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

XML - 482.6 KB - SHA-256: 671c33157ebf07874ea3c5b1928cfd011d127272f62bc6c830da8d58c9975ea9

E.coli_Zamboni2009.fml

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

Unknown - 32.2 KB - SHA-256: 3a7f1a8657d10d0ae3ebde39cabe2e316590557d7881095cd2b526a18682e649

iAT_PLT_636.mat

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

MATLAB Data - 6.2 MB - SHA-256: b0bedb3b318ee06d3fc6dfdeae896329175f475ea8dac8c67f37c298380def5d

iJO1366.xml

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

XML - 10.4 MB - SHA-256: d6d9ec61ef6f155db5bb2f49549119dc13b96f6098b403ef82ea4240b27232eb

N_e_coli_core_rounded.csv

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

Comma Separated Values - 29.9 KB - SHA-256: 0b996c62c1ee528842b6620aae4e965602178974c9f247c01fc9843a80cc4f40

N_e_coli_core_unrounded.csv

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

Comma Separated Values - 11.1 KB - SHA-256: 472d4b786919299d755c200fe35295de15fb509d0514c738add7e634b1366dbb

N_iAT_PLT_636_rounded.csv

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

Comma Separated Values - 3.7 MB - SHA-256: f6fc06ad54ce4a10034a2096820e44dce5e320587ba914d16dac94964694f8b0

Add Data

Share Dataverse

Link Dataverse

Reset Modifications