Net rotation is the solid body rotation of the lithosphere with respect to the mantle. We used mantle convection simulations to model the statistical variation of LNR with respect to convection model parameters, rheology and surface mobility. We find that LNR is an emergent property of the chaotic nature of mantle convection and is therefore unpredictable. However, the magnitude is dependent on the viscosity parameters used in the model, particularly the activation energy of viscosity. The variation of LNR follows a Gaussian distribution, which is adequately sampled within 50 Myr and has a correlation time around 5 Myr. The data set contains the summary of 110 models. Each group is one model and has the non-dimensional convection parameters used. The convection parameters are stored in dataset labelled: {modelnumber}_modelparams Parameters are: Activation energy of viscosity; activation volume of viscosity; transition zone viscosity gradient; continent margin yield stress; thickness of initial primordial layer; internal mantle heating; oceanic yield stress; size of the largest plate (total plate size is 30% of surface); thickness of continents; viscosity contrast of primordial material. Model results are saved as: {modelnumber}_time Non-dimensional time at which each observation is recorded {modelnumber}_netrotation Net rotation of the lithosphere in a no-mean-mantle net rotation reference frame, in degrees per unit of non-dimensional time {modelnumber}_minvisc120 Minimum viscosity at a depth 115 km at each time step, in non-dimensional units. {modelnumber}_surfVrms Vrms surface velocity, in degrees per unit of non-dimensional time .

Net rotation is the solid body rotation of the lithosphere with respect to the mantle. We used mantle convection simulations to model the statistical variation of LNR with respect to convection model parameters, rheology and surface mobility. We find that LNR is an emergent property of the chaotic nature of mantle convection and is therefore unpredictable. However, the magnitude is dependent on the viscosity parameters used in the model, particularly the activation energy of viscosity. The variation of LNR follows a Gaussian distribution, which is adequately sampled within 50 Myr and has a correlation time around 5 Myr. The data set contains the summary of 110 models. Each group is one model and has the non-dimensional convection parameters used. The convection parameters are stored in dataset labelled: {modelnumber}_modelparams Parameters are: Activation energy of viscosity; activation volume of viscosity; transition zone viscosity gradient; continent margin yield stress; thickness of initial primordial layer; internal mantle heating; oceanic yield stress; size of the largest plate (total plate size is 30% of surface); thickness of continents; viscosity contrast of primordial material. Model results are saved as: {modelnumber}_time Non-dimensional time at which each observation is recorded {modelnumber}_netrotation Net rotation of the lithosphere in a no-mean-mantle net rotation reference frame, in degrees per unit of non-dimensional time {modelnumber}_minvisc120 Minimum viscosity at a depth 115 km at each time step, in non-dimensional units. {modelnumber}_surfVrms Vrms surface velocity, in degrees per unit of non-dimensional time .

This spreadsheet contains details of article processing charges (APCs) paid by the University of Birmingham during the first half of 2015. The data is being collected as part of Jisc's APC data collection project to address the Total Cost of Ownership of scholarly communication (https://www.jisc-collections.ac.uk/Jisc-Monitor/APC-data-collection/).

This spreadsheet contains details of article processing charges (APCs) paid by the University of Birmingham during the first half of 2015. The data is being collected as part of Jisc's APC data collection project to address the Total Cost of Ownership of scholarly communication (https://www.jisc-collections.ac.uk/Jisc-Monitor/APC-data-collection/).