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51 to 60 of 20,735 Results
agent-repulsion-nagents-driver-repulsion.tar.xz
Mar 11, 2026 - Replication Data for: Optimal information injection and transfer mechanisms for active matter reservoir computing (Gaimann and Klopotek, 2025)
XZ Archive - 11.1 GB - MD5: f1ebb8b51e99673157336b0c4d129984
Data
driver-attraction-ensemble-100-seeds.tar.xz
Mar 11, 2026 - Replication Data for: Optimal information injection and transfer mechanisms for active matter reservoir computing (Gaimann and Klopotek, 2025)
XZ Archive - 627.9 KB - MD5: 8bec6c559816321576beffe9429f8806
Data
driver-attraction.tar.xz
Mar 11, 2026 - Replication Data for: Optimal information injection and transfer mechanisms for active matter reservoir computing (Gaimann and Klopotek, 2025)
XZ Archive - 15.6 GB - MD5: fa89027cafa35e67c67e0846dd7df151
Data
driver-repulsion-nearcritdamped-ensemble-100-seeds.tar.xz
Mar 11, 2026 - Replication Data for: Optimal information injection and transfer mechanisms for active matter reservoir computing (Gaimann and Klopotek, 2025)
XZ Archive - 625.6 KB - MD5: b0a892a318de2b7fe6238d4614c53296
Data
driver-repulsion-nearcritdamped.tar.xz
Mar 11, 2026 - Replication Data for: Optimal information injection and transfer mechanisms for active matter reservoir computing (Gaimann and Klopotek, 2025)
XZ Archive - 14.8 GB - MD5: 342b0b99506143d3e05495f563e8da74
Data
driver_trajectory_Lorenz_ptsperperiod_1.00e+05_steps_1.02e+05_box_size_16.0_fraction_0.5_mean_speed_1.4992e+01_traintest_version_v0.20.0-97-g19ec91cc.tab
Mar 11, 2026 - Replication Data for: Optimal information injection and transfer mechanisms for active matter reservoir computing (Gaimann and Klopotek, 2025)
Tabular Data - 2.8 MB - 2 Variables, 102000 Observations - UNF:6:GDIiasaI0Y7oWG36xzMFuA==
DataTime Series
raw Lorenz-63 driver trajectory with mean speed v_d = 15
driver_trajectory_Lorenz_ptsperperiod_1.00e+05_steps_1.02e+05_box_size_16.0_fraction_0.5_mean_speed_1.9932e+00_traintest_version_v0.20.0-97-g19ec91cc.tab
Mar 11, 2026 - Replication Data for: Optimal information injection and transfer mechanisms for active matter reservoir computing (Gaimann and Klopotek, 2025)
Tabular Data - 2.8 MB - 2 Variables, 102000 Observations - UNF:6:kz58WUuXcZUW2qNVMazk+w==
DataTime Series
raw Lorenz-63 driver trajectory with mean speed v_d = 2
driver_trajectory_Lorenz_ptsperperiod_1.00e+05_steps_1.02e+05_box_size_16.0_fraction_0.5_mean_speed_5.0099e+00_traintest_version_v0.20.0-97-g19ec91cc.tab
Mar 11, 2026 - Replication Data for: Optimal information injection and transfer mechanisms for active matter reservoir computing (Gaimann and Klopotek, 2025)
Tabular Data - 2.8 MB - 2 Variables, 102000 Observations - UNF:6:YkePEwUJ6fZHtA3K+AriwQ==
DataTime Series
raw Lorenz-63 driver trajectory with mean speed v_d = 5
driver_trajectory_Lorenz_ptsperperiod_1.00e+05_steps_1.02e+05_box_size_16.0_fraction_0.5_mean_speed_9.9257e-01_traintest_version_v0.20.0-98-gdc2c50bd.tab
Mar 11, 2026 - Replication Data for: Optimal information injection and transfer mechanisms for active matter reservoir computing (Gaimann and Klopotek, 2025)
Tabular Data - 2.8 MB - 2 Variables, 102000 Observations - UNF:6:XrxGqPN+HmZY9xRbsnTIdw==
DataTime Series
raw Lorenz-63 driver trajectory with mean speed v_d = 1
driver_trajectory_Lorenz_ptsperperiod_1.00e+05_steps_1.02e+05_box_size_16.0_fraction_0.5_mean_speed_9.9983e+00_traintest_version_v0.20.0-98-gdc2c50bd.tab
Mar 11, 2026 - Replication Data for: Optimal information injection and transfer mechanisms for active matter reservoir computing (Gaimann and Klopotek, 2025)
Tabular Data - 2.8 MB - 2 Variables, 102000 Observations - UNF:6:192TIeQKc1VTUmFa11kr7g==
DataTime Series
raw Lorenz-63 driver trajectory with mean speed v_d = 10
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