Ok, I understand; do you need columns to be separate? If not, you could go for the following solution: assume the whole dataset is stored in an array called data, whose 1st column contains temperatures, 2nd column pressures, etc.
id = data(:,1) >= 0 & data(:,1) < 10 ;
data_0_10 = data(id,:) ;
Note that if you had already split data into temperature, pressure, etc, vectors, you could work the same way:
temperature = data(:,1) ;
pressure = data(:,2) ;
id = temperature >= 0 & temperature < 10 ;
temp_0_10 = temperature(id) ;
pres_0_10 = pressure(id) ;
Finally, note that there would be ways to split your dataset in a more concise manner than iterating through ranges. They are a little more complicated, but let me know if you'd like to go for this.
EDIT: I took 2 more minutes to illustrate a more complex way to split your dataset into a cell array.
>> blockSize = accumarray(1 + floor(data(:,1)/10), ones(size(data(:,1)))) ;
>> block = mat2cell(data, blockSize, size(data,2)) ;
Here, block{1} contains an array with all rows of data that have a temperature in the range [0,10[, block{2} contains an array with all rows of data that have a temperature in the range [10,20[, etc. As you can see, in two lines (that could be compressed in a single line), we split the whole dataset. Let me know if you want more information about this solution.
