Hi Vincent, I don't think Reflection File Editor can do that but I just wrote a cctbx based script to do that. Save lines below (between ****) into a file convert.py: **** from iotbx import mtz from iotbx import reflection_file_reader def run(file_name = "1yjp_refine_001.mtz"):   miller_arrays = reflection_file_reader.any_reflection_file(file_name =     file_name).as_miller_arrays()   mtz_dataset = None   for ma in miller_arrays[1:]:     label = ma.info().label_string()     if "," in label: label = label[:label.index(",")]     if mtz_dataset is None:       mtz_dataset = ma.as_mtz_dataset(column_root_label = label)     else:       mtz_dataset.add_miller_array(ma, column_root_label = label)   mtz_dataset.mtz_object().write("output.mtz") if __name__ == '__main__':   run() **** then put the correct file name instead of 1yjp_refine_001.mtz and run phenix.python convert.py The output output.mtz file will have all the arrays in one data block. Good luck! Pavel On 9/28/23 07:36, vincent Chaptal wrote:

Hi,

I have a reflection file generated by phenix.refine, which contains  HKL, I, Rfree, SIGI, Fs..., Fmodel... and map coeffs. All these arrays are placed in several dataset#. I would like to place them all in a single Dataset#. Is it possible to do that using the reflection file editor? I've tried to modify the output with "edit arrays" but I can't figure out how to do that?

Thank you. Best Vincent

--

Vincent Chaptal, PhD

Director of GdR APPICOM

Drug Resistance and Membrane Proteins Lab

MMSB -UMR5086

7 passage du Vercors

69007 LYON

FRANCE

+33 4 37 65 29 01

http://www.appicom.cnrs.fr

http://mmsb.cnrs.fr/en/

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