Stuttgart Center for Simulation Science (SC SimTech)

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20,481 to 20,490 of 20,637 Results

high_q_sampling_designs.tab Jun 24, 2021 - Sampling Strategies of the Regime-and-memory model (RMM) Tabular Data - 1.8 KB - 5 Variables, 75 Observations - UNF:6:XkKTlOfntjxfQhiH0L7XFA== This file includes the high Q sampling strategies used in the manuscript Gonzalez-Nicolas et al. (2021), "Characterization of export regimes in concentration–discharge plots via an advanced time-series model and event-Based sampling strategies", Water.
low_and_high_q_sampling_designs.tab Jun 24, 2021 - Sampling Strategies of the Regime-and-memory model (RMM) Tabular Data - 1.8 KB - 5 Variables, 75 Observations - UNF:6:5Q7YX9enLUIl09INbcWNMA== This file includes the low and high Q sampling strategies used in the manuscript Gonzalez-Nicolas et al. (2021), "Characterization of export regimes in concentration–discharge plots via an advanced time-series model and event-Based sampling strategies", Water.
flow_discharge_frequency_sampling_designs.tab Jun 24, 2021 - Sampling Strategies of the Regime-and-memory model (RMM) Tabular Data - 2.6 KB - 6 Variables, 75 Observations - UNF:6:hD62pRgyjaW0dI4vof74IA== This file includes the river discharge frequency sampling strategies used in the manuscript Gonzalez-Nicolas et al. (2021), "Characterization of export regimes in concentration–discharge plots via an advanced time-series model and event-Based sampling strategies", Water.
RMM_code.tar Jun 24, 2021 - Regime-and-memory model (RMM) Code TAR Archive - 618.5 KB - MD5: f774bb6bef0ff777247ad0b45474674f This includes the Matlab files and input files to run the Regime-and-Memory model (RMM) described in Gonzalez-Nicolas, A.; Schwientek, M.; Sinsbeck, M.; Nowak, W.. Characterization of Export Regimes in Concentration–Discharge Plots via an Advanced Time-Series Model and Event-Based Sampling Strategies. Water 2021, 13 (accepted)
License.txt Jun 24, 2021 - Regime-and-memory model (RMM) Code Plain Text - 1.5 KB - MD5: 8ee31a20b6dfb6cf41b5ac673b720631
thmc_SMP_0_70.tab Jun 22, 2021 - Humidity and thermal triggered Shape Memory Effect - Rheology-based numerical modelling - Thermal Humid Mechanical Cycle Tabular Data - 1.6 MB - 13 Variables, 24697 Observations - UNF:6:kJCrJ2myXSEklpfIfr7AfQ==
alpha_T_30.tab Jun 22, 2021 - Humidity and thermal triggered Shape Memory Effect - Rheology-based numerical modelling - Dynamic Mechanical Thermal Humidity Analysis Tabular Data - 607 B - 3 Variables, 26 Observations - UNF:6:SUp9rrASiGNdUAppeo0opw==
alpha_T_50.tab Jun 22, 2021 - Humidity and thermal triggered Shape Memory Effect - Rheology-based numerical modelling - Dynamic Mechanical Thermal Humidity Analysis Tabular Data - 506 B - 3 Variables, 22 Observations - UNF:6:7xPMVmu9vMaS0yK8CIVezw==
alpha_T_70.tab Jun 22, 2021 - Humidity and thermal triggered Shape Memory Effect - Rheology-based numerical modelling - Dynamic Mechanical Thermal Humidity Analysis Tabular Data - 431 B - 3 Variables, 18 Observations - UNF:6:rNV9zEmjCmVw4wCOnmFkYA==
alpha_T_dry.tab Jun 22, 2021 - Humidity and thermal triggered Shape Memory Effect - Rheology-based numerical modelling - Dynamic Mechanical Thermal Humidity Analysis Tabular Data - 483 B - 3 Variables, 21 Observations - UNF:6:npCF52R0fVQvnBWjR0O9Sg==

high_q_sampling_designs.tab

Jun 24, 2021 - Sampling Strategies of the Regime-and-memory model (RMM)

Tabular Data - 1.8 KB - 5 Variables, 75 Observations -

This file includes the high Q sampling strategies used in the manuscript Gonzalez-Nicolas et al. (2021), "Characterization of export regimes in concentration–discharge plots via an advanced time-series model and event-Based sampling strategies", Water.

low_and_high_q_sampling_designs.tab

Jun 24, 2021 - Sampling Strategies of the Regime-and-memory model (RMM)

Tabular Data - 1.8 KB - 5 Variables, 75 Observations -

This file includes the low and high Q sampling strategies used in the manuscript Gonzalez-Nicolas et al. (2021), "Characterization of export regimes in concentration–discharge plots via an advanced time-series model and event-Based sampling strategies", Water.

flow_discharge_frequency_sampling_designs.tab

Jun 24, 2021 - Sampling Strategies of the Regime-and-memory model (RMM)

Tabular Data - 2.6 KB - 6 Variables, 75 Observations -

This file includes the river discharge frequency sampling strategies used in the manuscript Gonzalez-Nicolas et al. (2021), "Characterization of export regimes in concentration–discharge plots via an advanced time-series model and event-Based sampling strategies", Water.

RMM_code.tar

Jun 24, 2021 - Regime-and-memory model (RMM) Code

TAR Archive - 618.5 KB -

This includes the Matlab files and input files to run the Regime-and-Memory model (RMM) described in Gonzalez-Nicolas, A.; Schwientek, M.; Sinsbeck, M.; Nowak, W.. Characterization of Export Regimes in Concentration–Discharge Plots via an Advanced Time-Series Model and Event-Based Sampling Strategies. Water 2021, 13 (accepted)

License.txt

Jun 24, 2021 - Regime-and-memory model (RMM) Code

Plain Text - 1.5 KB -

thmc_SMP_0_70.tab

Jun 22, 2021 - Humidity and thermal triggered Shape Memory Effect - Rheology-based numerical modelling - Thermal Humid Mechanical Cycle

Tabular Data - 1.6 MB - 13 Variables, 24697 Observations -

alpha_T_30.tab

Jun 22, 2021 - Humidity and thermal triggered Shape Memory Effect - Rheology-based numerical modelling - Dynamic Mechanical Thermal Humidity Analysis

Tabular Data - 607 B - 3 Variables, 26 Observations -

alpha_T_50.tab

Jun 22, 2021 - Humidity and thermal triggered Shape Memory Effect - Rheology-based numerical modelling - Dynamic Mechanical Thermal Humidity Analysis

Tabular Data - 506 B - 3 Variables, 22 Observations -