Put data in a 'scicos' signal structure. If A is a vector, then it will be understand as a scalar that evolves along time. If A is a matrix, then it will be understand as a vector that evolves along time. If A is an hypermatrix, then it will be understand as a matrix that evolves along time.
B=data2sig(A[,step])
-->a(:,:,4)=([7 8 9;10 11 12]); -->b=data2sig(a,0.1) b = values: [2x3x4 hypermat] time: [4x1 constant] -->b.time ans = 0. 0.1. 0.2. 0.3.