function ListFiles = nappFileList(dataPath,varargin)
% nappFileList lists all XAS, PE, and picture data of a specific beam
% time. Analyser and sample settings such as pass energy, lens mode,
% temperature, position, and pressure are added.
%
%
% * listFiles = nappFileList('2019\April_NanoXAS') imports data from beam
% time folder on local computer, generates a new matlab table 'listFiles'
% in the current workspace, and a csv file from data in the
% 'SC_Data/2019/April_NanoXAS' .
%
% * listFiles = nappFileList('2019\April_NanoXAS',listFiles) imports data from beam
% time folder on local computer, adds data to the existing matlab table
% 'listFiles' in the current workspace, and a csv file from data in the
% 'SC_Data/2019/April_NanoXAS' .
%
% Input Arguments
%
% * dataPath, mandatory: year and name of folder that holds the beam time data.
% Text string with format year/name of folder: '2019/April_NanoXAS'
% * DataTable, optional: DataTable to which imported data is added.
% * 'mode','local'; default: imports from local server address
% * 'mode','nappDrive'; imports from napp drive. Needs to be mounted.
% * 'mode','localNew'; imports only new files that have not yet been
% imported. Needs existing data table as input.
% * 'mode','nappDrivePick'; lets user select files in file browser window. Default address is Napp beam time folder.
% * 'mode','localPick'; lets user select files in file browser window. Default address is local beam time folder.
%
% Dependencies
%
% * beam time folder must be located at server/NAPP/SC Data/dataPath.
% dataPath is user input. server needs to be defined at line ~100 of this
% function.
% * XPS data in igor *.ibw format need to be in SES subfolder
% * Photos in *.bmp format need to be in Photos folder
% * NEXAFS data in *.h5 format need to be in NEXAFS subfolder
% * Labview pressure and temperature log need to be in Pressure subfolder.
% * Uses the IgorPro importer for Matlab:
% https://ch.mathworks.com/matlabcentral/fileexchange/42679-igor-pro-file-format-ibw-to-matlab-variable
% * needs at least 1 .*ibw file in the SES subfolder
%
%
% Output
%
% * ListFiles: Matlab table listing XPS, NEXAFS, and photo files with settings
% * YYYYmmm_DataList.csv (2019Apr_DataList.csv): Semicolon separated ASCII
% file for import to Excel in beamtime folder
%
%
% Further info
%
% * Do not run while SES or NEXAFS data are being recorded. Data will be
% lost by SES software.
% * Region iterations are averaged during import
% * counts are normalised to 1s dwell time during import. That is, the
% counts are in cps after import.
%
%
% Matlab Version
%
% * Matlab 2018a or higher
%
%
% See also TABLE IBWread h5read DIR LabView_importData
%
%%
%
% TODO
%
% * FIXME: Add videos and jpg
%
%% Updated
%
% * January 2020, added new h5 file structure and naming convention.
% * March 2021, added possibility to work on local file structure
% * March 2021, added Lens Mode as column (have not tested this for older
% NEXAFS files).
% * April 2021, X-ray kinetic energy and images are now made unique
% * March 2022, input now using varargin
% * March 2022, strict data structure required for local and remote sources
% * November 2025, PShell h5 files for NEXAFS have a new structure; added
% creation date to mac for NEXAFS.

%% Input
% Define conditions and defaults of input
defaultMode                 = 'local';
expectedMode                = {'local','nappDrive','dataDrive','localNew','nappDrivePick','localPick','dataPick'};
defaultImportLabView        = 'on';
expectedImportLabView       = {'on','off'};
% Parse input
p = inputParser;
addRequired(p,'dataPath');
addOptional(p,'DataTable',@istable);
addParameter(p,'mode',defaultMode,...
    @(x) any(validatestring(x,expectedMode)));
addParameter(p,'importLabView',defaultImportLabView,...
    @(x) any(validatestring(x,expectedImportLabView)));
parse(p,dataPath,varargin{:});
%% Data Paths
%
% Mac and Windows use different notations to address network drives. For
% windows, we use the UNC naming convention. This is a more recent way to
% address mounted drives that does not rely on the use of drive letters.
% The letters might be different for the same drive on different computer.


if contains(p.Results.mode,'local')
    % Data server address
    if ismac
        server         = '/Users/bartels-rausch/Forschung_Einsam/PSI_SLS/';
    elseif ispc
        server         = userpath;
    end
elseif contains(p.Results.mode,'nappDrive')
    % Data server address
    if ismac
        server         = '/Volumes/';
    elseif ispc
        server         = '\\fs03\';
    end
elseif contains(p.Results.mode,'data')
    % Data server address
    if ismac
        server         = '/Volumes/';
    elseif ispc
        server         = '\\fs101\';
    end
end
if contains(p.Results.mode,'data')
    dataPath            = fullfile(server,'5505','Data',dataPath);
else
    dataPath            = fullfile(server,'NAPP','SC Data',dataPath);
end
% Data Paths to subdirectories for specific files:
dataPath_XPS        = fullfile(dataPath, 'SES');
dataPath_Photo      = fullfile(dataPath, 'Photos');
dataPath_NEXAFS     = fullfile(dataPath, 'NEXAFS');
dataPath_LabView    = fullfile(dataPath, 'Pressure');

%
if ~isfolder(dataPath_XPS)
    warning('There is something wrong with the path. Check for typo and that the drives are mounted')
    disp('There is something wrong with the path. Check for typo and that the drives are mounted')
    disp('I quit now')
    return
end


%% Naming Convention
%
% See: MATLAB Programming Style Guidelines, by Richard Johnson
%
% * Variable: mixed case words starting with lower case: credibleThreat, qualityOfLife
% * Variables with a large scope should have meaningful names. Variables
% with a small scope can have short names.
% * A convention on pluralisation should be followed consistently.
% * Named constants (including globals) should be all uppercase using
% underscore to separate words. MAX_ITERATIONS, COLOR_RED
% * Structure names should begin with a capital letter: SegmentData.length
% * The prefix n  should be used for variables representing the number of
% objects. A MATLAB-specific addition is the use of m for number of rows
% (based on matrix notation). nFiles, mRows
% * Iterator variables should be named or prefixed with i. for iPosition =
% 1:nPositions, ii, ij, ik....
% * Functions should have meaningful names written in lower case.
% computetotalwidth(), Avoid compwid();
%



%% Query beam time folder content
%
% We use MATLAB's 'dir' command which writes the content of a folder into a
% structure with the following fields:
%
% * name
% * folder
% * date
% * bytes
% * isdir
% * datenum
%
% XPS data: Create a structure 'TmpFileList{1}' with all Igor files in the
% directory and its subfolders (1st level). The '\N*' at the beginning is
% important. Otherwise hidden files starting with a . will also be listed.
% Obviously, Igor file names from SES software and h5 file names from Epics
% (NEXAFS) need to start with an N, otherwise change the search term below:
%
% THE ** notation needs a recent version of Matlab, 2014 does not work.

if endsWith(p.Results.mode,'Pick')
    % select files (Xps or Nexafs, ignoring photos) to be imported from data directory
    % (data can be taken from any directory; files need to be in same directory)
    [filePick,pathPick] = uigetfile({'*.ibw;*.h5';'*.xy'},...
        'Select One or More Files', dataPath,...
        'MultiSelect', 'on');
    % make lists for Nexafs and for XPS
    if ischar(filePick)
        filePick = {filePick};
    end
    filePickXps     = filePick(endsWith(filePick,'.ibw'));
    filePickNexafs  = filePick(endsWith(filePick,'.h5'));
    filePickXY      = filePick(endsWith(filePick,'.xy'));

    if isempty(filePickXps)
        TmpFileList{1} = dir([dataPath_XPS filesep '**' filesep '*.trallalla']);
    else
        for ii = 1:size(filePickXps,2)
            TmpFileList{1}(ii,1) = dir([pathPick filePickXps{ii}]);
        end
    end
    if isempty(filePickNexafs)
        TmpFileList{2} = dir([dataPath_NEXAFS filesep '**' filesep '*.trallalla']);
    else
        for ii = 1:size(filePickNexafs,2)
            TmpFileList{2}(ii,1) = dir([pathPick filePickNexafs{ii}]);
        end
    end
    if isempty(filePickXY)
        TmpFileList{1} = dir([dataPath_XPS filesep '**' filesep '*.trallalla']);
    else
        for ii = 1:size(filePickXps,2)
            TmpFileList{1}(ii,1) = dir([pathPick filePickXps{ii}]);
        end
    end
    % make a empty file list for photos, to be consitent
    TmpFileList{3} = dir([dataPath_Photo filesep '**' filesep '*.trallalla']);
else

    % SES files in IGOR format or SpecsLab in .xy format: list all files, then get rid of system files
    if contains(p.Results.mode,'data')
        TmpFileList{1} = dir([dataPath_XPS filesep '**' filesep '*.xy']);
        TmpFileList{1} = TmpFileList{1}(find(~cellfun(@isempty,regexp({TmpFileList{1}.name},'^[a-zA-Z0-9]\w*')))); %#ok<FNDSB>
    else
        TmpFileList{1} = dir([dataPath_XPS filesep '**' filesep '*.ibw']);
        TmpFileList{1} = TmpFileList{1}(find(~cellfun(@isempty,regexp({TmpFileList{1}.name},'^[a-zA-Z0-9]\w*')))); %#ok<FNDSB>
    end

    % EPICS files in h5 format list all files, then get rid of system files
    TmpFileList{2} = dir([dataPath_NEXAFS filesep '**' filesep '*.h5']);
    TmpFileList{2} = TmpFileList{2}(find(~cellfun(@isempty,regexp({TmpFileList{2}.name},'^[a-zA-Z0-9]\w*')))); %#ok<FNDSB>
    % Photos list all files, then get rid of system files
    TmpFileList{3} = dir([dataPath_Photo filesep '**' filesep '*.bmp']);
    TmpFileList{3} = TmpFileList{3}(find(~cellfun(@isempty,regexp({TmpFileList{3}.name},'^[a-zA-Z0-9]\w*')))); %#ok<FNDSB>

    % The second line of code filters all files that start with Numbers or
    % letters. All system files starting with a . or ~ are discarded.
 % =========================================================================
% SPLIT HDF5 FILES WITH MULTIPLE DATASETS INTO INDIVIDUAL FILES
% =========================================================================
%
% BACKGROUND:
%   HDF5 files from the beamline can contain multiple experimental scans
%   (e.g., scan_1, scan_2, scan_3) stored as separate groups within a
%   single file. However, the NEXAFS and XPS data processing pipelines
%   are designed to work with one scan per file.
%
% PURPOSE:
%   This script identifies HDF5 files that contain multiple scans and
%   splits each scan into a separate file with a descriptive name.
%   Each output file contains only one scan (renamed to scan_1) plus
%   the logs and metadata groups.
%
% PROCESS:
%   1. Loop through all NEXAFS HDF5 files in the file list
%   2. Check if each file contains more than 3 groups (indicating multiple scans)
%   3. If it does, split it using the splitH5Scans function
%   4. The original file is deleted after splitting
%
% OUTPUT:
%   For each multi-scan file, creates separate output files:
%     Example: 0002_..._O_Kedge.h5    0002_..._O_Kedge_scan_1.h5
%                                       0002_..._O_Kedge_scan_2.h5
% =========================================================================

% Loop through each file in the NEXAFS file list
% TmpFileList{2} contains the full paths to all NEXAFS HDF5 files
% ii is the loop counter (1, 2, 3, ... up to the total number of files)
for ii = 1:size(TmpFileList{2}, 1)
    
    % Get the filename of the current file being processed
    current_file = [TmpFileList{2}(ii).folder filesep TmpFileList{2}(ii).name];
    
    % Read information about the structure of the HDF5 file
    % This tells us what groups (datasets) are stored in the file
    fileinfo = h5info(current_file);
    
    % Extract the names of all groups at the root level
    % Example: {'/scan_1', '/scan_2', '/logs', '/__DATA_TYPES__'}
    groupnames = {fileinfo.Groups.Name};
    
    % Check if this file has more than 3 groups
    % Files with more than 3 groups likely contain multiple scans
    % (the extra groups beyond scans are typically '/logs' and '/__DATA_TYPES__')
    if numel(groupnames) > 3
        
        % This file contains multiple scans, so split it
        % The splitH5Scans function will:
        %   - Create separate files for each scan
        %   - Rename each scan to '/scan_1' within its new file
        %   - Delete the original multi-scan file when done
        splitH5Scans(current_file);
        
    end
    
end

% =========================================================================
% NOTE: After this loop completes, all NEXAFS files in data folder
%       will contain exactly one scan per file, ready for processing
% =========================================================================

% EPICS files in h5 format list all files, then get rid of system files
        TmpFileList{2} = dir([dataPath_NEXAFS filesep '**' filesep '*.h5']);
        TmpFileList{2} = TmpFileList{2}(find(~cellfun(@isempty,regexp({TmpFileList{2}.name},'^[a-zA-Z0-9]\w*')))); %#ok<FNDSB>

disp('*************************************************')
disp('*       Voila: Splitting NEXAFS files done      *')
disp('*************************************************')  

    % only process new files
    if (istable(p.Results.DataTable) & matches(p.Results.mode,'localNew')) % do this only if previous list was input to function call
        tmpXpsFiles     = endsWith(p.Results.DataTable.name,'.ibw'); % get Scienta XPS files in current data table
        tmpMissingFiles = ~ismember({TmpFileList{1}(:).name},p.Results.DataTable.name(tmpXpsFiles,:)); % find those files that are yet imported
        TmpFileList{1}  = TmpFileList{1}(tmpMissingFiles);

        tmpXpsFiles     = endsWith(p.Results.DataTable.name,'.xy'); % get Specs XPS files in current data table
        tmpMissingFiles = ~ismember({TmpFileList{1}(:).name},p.Results.DataTable.name(tmpXpsFiles,:)); % find those files that are yet imported
        TmpFileList{1}  = TmpFileList{1}(tmpMissingFiles);

        tmpNexafsFiles  = endsWith(p.Results.DataTable.name,'.h5'); % get XPS files in current data table
        tmpMissingFiles = ~ismember({TmpFileList{2}(:).name},p.Results.DataTable.name(tmpNexafsFiles,:)); % find those files that are yet imported
        TmpFileList{2}  = TmpFileList{2}(tmpMissingFiles);

        tmpPhotoFiles  = endsWith(p.Results.DataTable.name,'.bmp'); % get XPS files in current data table
        tmpMissingFiles = ~ismember({TmpFileList{3}(:).name},p.Results.DataTable.name(tmpPhotoFiles,:)); % find those files that are yet imported
        TmpFileList{3}  = TmpFileList{3}(tmpMissingFiles);

    end
end



% get date of first .ibw  or .xy file in folder .
if contains(p.Results.mode,'data')
    tmp.fileinfo = dir([dataPath_XPS '/*.xy']);
else
    tmp.fileinfo = dir([dataPath_XPS '/*.ibw']);
end
if isempty(tmp.fileinfo)
    warning('There appears to be no file in the SES folder. Add at least one file first.')
    disp('There appears to be no file in the SES folder. Add at least one file first.')
    disp('I quit now')
    return
end

try
    if contains(p.Results.mode,'data')
        tmp.fileinfo = dir([dataPath_XPS '/*.xy']);
        filedate_first = tmp.fileinfo(1).datenum;
        clearvars name tmp
    else
        tmp.fileinfo = dir([dataPath_XPS '/*.ibw']);
        filedate_first = tmp.fileinfo(1).datenum;
        clearvars name tmp
    end
catch
    warning('There appears to be something wrong with the SES or Specs file.')
    disp('There appears to be something wrong with the SES or Specs file.')

end


%% Import XPS data to get SES settings
%
% Uses the IgorPro importer for Matlab:
% https://ch.mathworks.com/matlabcentral/fileexchange/42679-igor-pro-file-format-ibw-to-matlab-variable
%
% Normally, Matlab stops when an error occurs. I use 'try' to force Matlab
% to continue even if an error occurs. Matlab will instead print a warning,
% as defined after the 'catch'. Error might occur when single data files
% can't be read. If a warning comes up, check the corresponding data file
% and try to resolve it. I suggest to rename these original data files that
% are damaged, or not complete (because measurement was aborted) to
% "ignore_filename".

if contains(p.Results.mode,'data') % for Specs xy data %TODO this is based on file location, needs work!!!!
    for ii = 1:size(TmpFileList{1},1) %  cycle through each XPS file


        try
            %data
            [fid,~] = fopen([TmpFileList{1}(ii).folder filesep TmpFileList{1}(ii).name],'rt');
            tmpSpecsData = textscan(fid,'%f%f','Delimiter', '\b', 'CommentStyle','#'); % this reads the data; comment lines are ignored
            fclose(fid);
            % comments
            opts = delimitedTextImportOptions("NumVariables", 1);
            % Specify range and delimiter
            opts.DataLines = [1, 45];
            opts.Delimiter = "\t";
            % Specify column names and types
            opts.VariableNames = "metaData";
            opts.VariableTypes = "char";
            % Specify file level properties
            opts.ExtraColumnsRule = "ignore";
            opts.EmptyLineRule = "skip";
            opts.ConsecutiveDelimitersRule = "join";
            % Specify variable properties
            opts = setvaropts(opts, "metaData", "WhitespaceRule", "preserve");
            opts = setvaropts(opts, "metaData", "EmptyFieldRule", "auto");
            tmpSpecsComments = readtable([TmpFileList{1}(ii).folder filesep TmpFileList{1}(ii).name],opts);


        catch
            warning('Problem reading the Specs file')
            disp('Problem reading the Specs file')
            fprintf('Number %.0f: %s \n',ii,[TmpFileList{1}(ii).folder filesep TmpFileList{1}(ii).name])
        end



        try
            %% Convert Specs meta data into variables

            % data
            tmpEndFirstSpectrum = find(diff(tmpSpecsData{1})<0,1); % FIXME: imports only first spectrum
            % counts
            PE.y = tmpSpecsData{2}(1:tmpEndFirstSpectrum);
            % kinetic energy
            PE.x = tmpSpecsData{1}(1:tmpEndFirstSpectrum);
            % RayEnergy
            PE.xRayEkin_eV{:} = str2double(extractAfter(tmpSpecsComments(29,:).metaData{:},"# Excitation Energy:"));
            PE.xRayEkinRange_eV =[ PE.xRayEkin_eV{1}  PE.xRayEkin_eV{end}];
            % Start date/time of measurement
            PE.creationDate = extractBetween(char(tmpSpecsComments(20,:).metaData{:}),"# Acquisition Date:","UTC");
            PE.creationDate = datetime(PE.creationDate,'InputFormat','MM/dd/yy HH:mm:ss','PivotYear',2000,'TimeZone','UTC');
            % Pass energy
            PE.passEnergy   =  str2double(extractAfter(tmpSpecsComments(31,:).metaData{:},"# Pass Energy:"));
            % Dwell time (or step time)
            PE.dwellTime   = str2double(extractAfter(tmpSpecsComments(28,:).metaData{:},"# Dwell Time:  "));
            % Energy step
            tmpEnergyStep = diff(PE.x);
            PE.scientaEkinStep   = tmpEnergyStep(1);
            if range(tmpEnergyStep) ~= 0
                disp("Ups something wrong with the energy steps")
            end
            % Region name
            PE.regionName  = strtrim(extractAfter(tmpSpecsComments(18,:).metaData{:},"# Region:"));
            % Acquisition Mode
            PE.acquisitionMode  = strtrim(extractAfter(tmpSpecsComments(25,:).metaData{:},"# Scan Mode:"));
            PE.regionIterations     = str2double(extractAfter(tmpSpecsComments(39,:).metaData{:},"# Number of Scans:"));
            % counts/s
            PE.y = PE.y./PE.regionIterations;
            % Pass energy
            PE.passEnergy   = str2double(extractAfter(tmpSpecsComments(31,:).metaData{:},"# Pass Energy:"));
        catch
            warning('Problem reading the PE variable')
            disp('Problem reading the PE variable')
            fprintf('Number %.0f: %s \n',ii,[TmpFileList{1}(ii).folder filesep TmpFileList{1}(ii).name])
        end

        %% Write SES meta data variables into XPS FileList structure

        try
            TmpFileList{1}(ii).creationDate = datevec(PE.creationDate);
            TmpFileList{1}(ii).image = {NaN};
            TmpFileList{1}(ii).spectrum_counts = NaN;
            TmpFileList{1}(ii).spectrum_countsPerSecond = PE.y;
            TmpFileList{1}(ii).xRayEkin_eV = PE.xRayEkin_eV;
            TmpFileList{1}(ii).xRayEkinRange_eV = PE.xRayEkinRange_eV;
            % SES pass energy
            TmpFileList{1}(ii).scientaPassEnergy_eV = PE.passEnergy; % in eV
            % SES dwell time
            TmpFileList{1}(ii).scientaDwellTime_ms = PE.dwellTime; % in ms
            % SES region Name
            TmpFileList{1}(ii).regionName = PE.regionName;
            TmpFileList{1}(ii).scientaAcquisitionMode = PE.acquisitionMode;
            % SES kinetic energy window
            TmpFileList{1}(ii).scientaEkinRange_eV = [PE.x(1) PE.x(end)];
            TmpFileList{1}(ii).scientaEkinStep_eV = PE.scientaEkinStep;
            TmpFileList{1}(ii).scientaEkin_eV = PE.x;
            % Beamline Intensity (I0 during NEXAFS)
            TmpFileList{1}(ii).beamlineInt = cell(1);
            % SES lens mode
            TmpFileList{1}(ii).scientaLensMode = {' '};
            TmpFileList{1}(ii).scientaRegionIterations = PE.regionIterations;
            TmpFileList{1}(ii).scientaSequenceIterations = NaN;
            TmpFileList{1}(ii).imageRoh = {NaN};
            TmpFileList{1}(ii).spectrum_countsPerSecondRoh = PE.y;
            TmpFileList{1}(ii).importDate        = datestr(now);
            try
                TmpFileList{1}(ii).analysisDir   = file.mFile;
            catch
                TmpFileList{1}(ii).analysisDir   = pwd;
            end
        catch
            warning('Problem with a XPS data file for XPS list')
            disp('Problem with a XPS data file for XPS list')
            fprintf('Number %.0f: %s \n',ii,[TmpFileList{1}(ii).folder filesep TmpFileList{1}(ii).name])
            fprintf('Number %.0f: %s \n',ii,datestr(TmpFileList{1}(ii).datenum))
        end
    end

else % for Scienta igor data
    for ii = 1:size(TmpFileList{1},1) %  cycle through each XPS file


        try
            PE = IBWread([TmpFileList{1}(ii).folder filesep TmpFileList{1}(ii).name]); % read XPS file
        catch
            warning('Problem reading the Igor file')
            disp('Problem reading the Igor file')
            fprintf('Number %.0f: %s \n',ii,[TmpFileList{1}(ii).folder filesep TmpFileList{1}(ii).name])
        end
        fclose('all');

        try
            %% Convert SES meta data into variables
            %
            % Upon import, all meta data are written into _WaveNotes_ variable.
            % Here, I select the meta data for each setting and write those
            % into individual variables that are then added to the list.

            % Split the WaveNotes text string into individual strings at each line break.
            % (This is a work-around. Did not manage to select values with regexp
            % function only.)
            tmp = regexp(PE.WaveNotes, '\r', 'split');
            % Then, read out the values into variables using a combination of string operations:

            % Start date/time of measurement
            PE.creationDate = datevec([char(regexp(tmp{29},'((?<=Date=).*)','match')) ...
                ' ' char(regexp(tmp{30},'((?<=Time=).*)','match'))]);
            % Pass energy
            PE.passEnergy   = str2double(char(regexp(tmp{5},'((?<=Pass Energy=).*)','match')));
            % Dwell time (or step time)
            PE.dwellTime   = str2double(char(regexp(tmp{15},'((?<=Step Time=).*)','match')));
            % Energy step
            PE.scientaEkinStep   = str2double(char(regexp(tmp{14},'((?<=Energy Step=).*)','match')));
            % Region name
            PE.regionName  = char(regexp(tmp{3},'((?<=Region Name=).*)','match'));
            % Acquisition Mode
            PE.acquisitionMode  = char(regexp(tmp{9},'((?<=Acquisition Mode=).*)','match'));

            % kinetic energy
            for n = 1:size(PE.y,1)
                PE.x(n)= PE.x0(1) + (n-1)*PE.dx(1);
            end
            % lens mode
            PE.lensMode  = char(regexp(tmp{4},'((?<=Lens Mode=).*)','match'));
            % define iterations
            %
            % There is a BUG in this code. The SES file apparently has the same
            % structure for 1 seq. iteration and several reg. iterations and
            % several seq. iterations and 1 region iteration.
            if PE.Ndim == 3
                PE.regionIterations     = size(PE.y,2);
                PE.sequenceIterations   = size(PE.y,3);
            elseif PE.Ndim == 2
                PE.regionIterations     = 1;
                PE.sequenceIterations   = size(PE.y,2);
            else
                PE.regionIterations     = 1;
                PE.sequenceIterations   = size(PE.y,2);
            end

            % average region iterations
            if PE.Ndim == 3
                PE.y = squeeze(mean(PE.y,2));
            elseif PE.Ndim == 2
                % PE.y = squeeze(mean(PE.y,2));

            end
            % normalise data to 1ms
            PE.y = PE.y .* 1000 ./ PE.dwellTime;
            % Pass energy
            PE.passEnergy   = str2double(char(regexp(tmp{5},'((?<=Pass Energy=).*)','match')));
        catch
            warning('Problem reading the PE variable')
            disp('Problem reading the PE variable')
            fprintf('Number %.0f: %s \n',ii,[TmpFileList{1}(ii).folder filesep TmpFileList{1}(ii).name])
        end

        %% Write SES meta data variables into XPS FileList structure

        try
            TmpFileList{1}(ii).creationDate = PE.creationDate;
            TmpFileList{1}(ii).image = PE.y;
            TmpFileList{1}(ii).spectrum_counts = NaN;
            TmpFileList{1}(ii).spectrum_countsPerSecond = NaN;
            TmpFileList{1}(ii).xRayEkin_eV = NaN;
            TmpFileList{1}(ii).xRayEkinRange_eV = [NaN NaN];
            % SES pass energy
            TmpFileList{1}(ii).scientaPassEnergy_eV = PE.passEnergy; % in eV
            % SES dwell time
            TmpFileList{1}(ii).scientaDwellTime_ms = PE.dwellTime; % in ms
            % SES region Name
            TmpFileList{1}(ii).regionName = PE.regionName;
            TmpFileList{1}(ii).scientaAcquisitionMode = PE.acquisitionMode;
            % SES kinetic energy window
            TmpFileList{1}(ii).scientaEkinRange_eV = [PE.x(1) PE.x(end)];
            TmpFileList{1}(ii).scientaEkinStep_eV = PE.scientaEkinStep;
            TmpFileList{1}(ii).scientaEkin_eV = PE.x;
            % Beamline Intensity (I0 during NEXAFS)
            TmpFileList{1}(ii).beamlineInt = cell(1);
            % SES lens mode
            TmpFileList{1}(ii).scientaLensMode = PE.lensMode;
            TmpFileList{1}(ii).scientaRegionIterations = PE.regionIterations;
            TmpFileList{1}(ii).scientaSequenceIterations = PE.sequenceIterations;
            TmpFileList{1}(ii).imageRoh = PE.y;
            TmpFileList{1}(ii).spectrum_countsPerSecondRoh = NaN;
            TmpFileList{1}(ii).importDate        = datestr(now);
            try
                TmpFileList{1}(ii).analysisDir   = file.mFile;
            catch
                TmpFileList{1}(ii).analysisDir   = pwd;
            end
        catch
            warning('Problem with a XPS data file for XPS list')
            disp('Problem with a XPS data file for XPS list')
            fprintf('Number %.0f: %s \n',ii,[TmpFileList{1}(ii).folder filesep TmpFileList{1}(ii).name])
            fprintf('Number %.0f: %s \n',ii,datestr(TmpFileList{1}(ii).datenum))
        end
    end
end
disp('*************************************************')
disp('* Voila: Done reading & writing XPS data!       *')
disp('*************************************************')


%% Read and write NEXAFS meta data
%
% The h5 file is much nicer organised, so we do not need string operations
% to select individual meta data. The data can be directly addressed and
% written into the list structure:

% if datenum(filedate_first) >= datenum('31-Dec-2017 23:59:00') %('31-Dec-2019 23:59:00')
for ii = 1:size(TmpFileList{2},1) % do this for each list element

    %if ~isempty(h5read([TmpFileList{2}(ii).folder filesep TmpFileList{2}(ii).name],'/scan 1/energy'))
    % creation date of file
    if ismac
        tmpCommand = sprintf('stat -f "%%SB" "%s"', [TmpFileList{2}(ii).folder filesep TmpFileList{2}(ii).name]);
        [~,creation] = system(tmpCommand);
        TmpFileList{2}(ii).creationDate = datevec(creation);
    else
        TmpFileList{2}(ii).creationDate = datevec(NaN);
    end
    try
        % read data
        %if datenum(filedate_first) <= datenum('21-Nov-2020 00:01:00') % Date not exaclty certain.
        try
            TmpImage= h5read([TmpFileList{2}(ii).folder filesep TmpFileList{2}(ii).name],'/scan_1/spectrum');
        catch
            try
                TmpImage= h5read([TmpFileList{2}(ii).folder filesep TmpFileList{2}(ii).name],'/scan 1/spectrum');
                %else
            catch
                try
                    TmpImage = h5read([TmpFileList{2}(ii).folder filesep TmpFileList{2}(ii).name],'/scan 1/scienta spectrum');
                catch
                    TmpImage = h5read([TmpFileList{2}(ii).folder filesep TmpFileList{2}(ii).name],'/entry/instrument/detector/data'); % pre-2020 (?) h5 structure
                end
            end
        end
        % 21.8.20 changed from spectrum to scienta spectrum, later
        % switched back to spectrum.


        % Spectrum
        TmpFileList{2}(ii).spectrum_counts          = NaN;
        TmpFileList{2}(ii).spectrum_countsPerSecond = NaN;

        % import Photon Energy (cols)
        try
            TmpXrayEkin = h5read([TmpFileList{2}(ii).folder filesep TmpFileList{2}(ii).name],'/scan_1/energy'); % X-ray excitation energy; Photon energy in eV
            TmpXrayEkin(TmpXrayEkin==0)=[];
        catch
            try
                TmpXrayEkin = h5read([TmpFileList{2}(ii).folder filesep TmpFileList{2}(ii).name],'/scan 1/energy'); % X-ray excitation energy; Photon energy in eV
                TmpXrayEkin(TmpXrayEkin==0)=[];
            catch
                TmpXrayEkin = h5read([TmpFileList{2}(ii).folder filesep TmpFileList{2}(ii).name],'/entry/instrument/NDAttributes/PhotonEnergy'); % X-ray excitation energy; Photon energy in eV
                TmpXrayEkin(TmpXrayEkin==0)=[];
            end
        end


        if isempty(TmpXrayEkin)
            TmpFileList{2}(ii).xRayEkinRange_eV = [NaN NaN];
        else
            TmpFileList{2}(ii).xRayEkinRange_eV = [TmpXrayEkin(1) TmpXrayEkin(end)];
        end

        % Make unique
        [TmpFileList{2}(ii).xRayEkin_eV, ind] = unique(TmpXrayEkin);
        TmpFileList{2}(ii).image = TmpImage(:,ind);
        TmpFileList{2}(ii).image = TmpImage(:,ind);
        % NEXAFS pass energy
        try
            tmp = h5read([TmpFileList{2}(ii).folder filesep TmpFileList{2}(ii).name],'/scan_1/snaps/PassEnergy'); % in eV
            TmpFileList{2}(ii).scientaPassEnergy_eV = str2double(tmp(1,:));
        catch
            try
                tmp = h5read([TmpFileList{2}(ii).folder filesep TmpFileList{2}(ii).name],'/scan 1/attrs/PassEnergy'); % in eV
                TmpFileList{2}(ii).scientaPassEnergy_eV = str2double(tmp(1));
            catch
                tmp = h5read([TmpFileList{2}(ii).folder filesep TmpFileList{2}(ii).name],'/entry/instrument/NDAttributes/PassEnergy'); % in eV

                if tmp(1) == 1
                    TmpFileList{2}(ii).scientaPassEnergy_eV = 20;
                elseif tmp(1) == 2
                    TmpFileList{2}(ii).scientaPassEnergy_eV = 50;
                elseif tmp(1) == 3
                    TmpFileList{2}(ii).scientaPassEnergy_eV = 100;
                elseif tmp(1) == 4
                    TmpFileList{2}(ii).scientaPassEnergy_eV = 200;
                end
            end
        end


        % NEXAFS dwell time
        % if datenum(filedate_first) >= datenum('1-Feb-2020 23:59:00')
        try
            tmp = h5read([TmpFileList{2}(ii).folder filesep TmpFileList{2}(ii).name],'/scan_1/snaps/ScientaStepTime')*1000; % in ms

        catch
            try
                tmp = h5read([TmpFileList{2}(ii).folder filesep TmpFileList{2}(ii).name],'/scan 1/attrs/ScientaStepTime')*1000; % in ms
            catch
                try
                    tmp = h5read([TmpFileList{2}(ii).folder filesep TmpFileList{2}(ii).name],'/scan 1/attrs/StepTime')*1000; % in ms
                catch
                    try
                        tmp = h5read([TmpFileList{2}(ii).folder filesep TmpFileList{2}(ii).name],'/entry/instrument/NDAttributes/StepTime')*1000; % in ms
                    catch
                        tmp = h5read([TmpFileList{2}(ii).folder filesep TmpFileList{2}(ii).name],'/entry/instrument/NDAttributes/ScientaStepTime')*1000;
                    end
                end
            end
        end
        TmpFileList{2}(ii).scientaDwellTime_ms = tmp(1);
        % NEXAFS region Name
        if TmpFileList{2}(ii).xRayEkinRange_eV(:,1) <= 530 && TmpFileList{2}(ii).xRayEkinRange_eV(:,2) >= 530
            TmpFileList{2}(ii).regionName = 'O K-edge NEXAFS';
        else
            TmpFileList{2}(ii).regionName = 'NEXAFS';
        end

        % Acquisition mode
        try
            TmpFileList{2}(ii).scientaAcquisitionMode =  h5read([TmpFileList{2}(ii).folder filesep TmpFileList{2}(ii).name],'/scan_1/snaps/AcquisitionMode');
        catch
            try
                TmpFileList{2}(ii).scientaAcquisitionMode =  h5read([TmpFileList{2}(ii).folder filesep TmpFileList{2}(ii).name],'/scan 1/attrs/AcquisitionMode');
            catch
                tmp =  h5read([TmpFileList{2}(ii).folder filesep TmpFileList{2}(ii).name],'/entry/instrument/NDAttributes/AcquireMode');
                if tmp(1) == 0
                    TmpFileList{2}(ii).scientaAcquisitionMode =  "Swept";
                elseif tmp(1) == 1
                    TmpFileList{2}(ii).scientaAcquisitionMode = "Fixed";
                end
                clear tmp
            end
        end

        if strcmp(TmpFileList{2}(ii).scientaAcquisitionMode,'Fixed')
            % NEXAFS kinetic energy window - fixed mode
            try
                tmp = h5read([TmpFileList{2}(ii).folder filesep TmpFileList{2}(ii).name],'/scan_1/snaps/ScientaCenterEnergy'); % in eV
            catch
                try
                    tmp = h5read([TmpFileList{2}(ii).folder filesep TmpFileList{2}(ii).name],'/scan 1/attrs/ScientaCenterEnergy'); % in eV
                catch
                    tmp = h5read([TmpFileList{2}(ii).folder filesep TmpFileList{2}(ii).name],'/entry/instrument/NDAttributes/CenterEnergy'); % in eV
                end
            end

            TmpFileList{2}(ii).scientaEkinRange_eV = [double(tmp(1))-TmpFileList{2}(ii).scientaPassEnergy_eV/20 double(tmp(1))+TmpFileList{2}(ii).scientaPassEnergy_eV/20];


            TmpFileList{2}(ii).scientaEkinStep_eV  = NaN;
            TmpFileList{2}(ii).scientaEkin_eV = linspace(TmpFileList{2}(ii).scientaEkinRange_eV(:,1)...
                ,TmpFileList{2}(ii).scientaEkinRange_eV(:,2),size(TmpFileList{2}(ii).image,1))';
        else
            % NEXAFS kinetic energy window - scan mode
            try
                tmp = h5read([TmpFileList{2}(ii).folder filesep TmpFileList{2}(ii).name],'/scan_1/snaps/ScientaLowEnergy'); % in eV
                tmp2 = h5read([TmpFileList{2}(ii).folder filesep TmpFileList{2}(ii).name],'/scan_1/snaps/ScientaHighEnergy');
            catch
                try
                    tmp = h5read([TmpFileList{2}(ii).folder filesep TmpFileList{2}(ii).name],'/scan 1/attrs/ScientaLowEnergy'); % in eV
                    tmp2 = h5read([TmpFileList{2}(ii).folder filesep TmpFileList{2}(ii).name],'/scan 1/attrs/ScientaHighEnergy');
                catch
                    tmp = h5read([TmpFileList{2}(ii).folder filesep TmpFileList{2}(ii).name],'/entry/instrument/NDAttributes/LowEnergy'); % in eV
                    tmp2 = h5read([TmpFileList{2}(ii).folder filesep TmpFileList{2}(ii).name],'/entry/instrument/NDAttributes/HighEnergy');
                end
            end
            TmpFileList{2}(ii).scientaEkinRange_eV = [tmp(1) tmp2(1)];
            clearvars tmp
            try
                TmpFileList{2}(ii).scientaEkinStep_eV = h5read([TmpFileList{2}(ii).folder filesep TmpFileList{2}(ii).name],'/scan_1/snaps/StepSize');
            catch
                try
                    TmpFileList{2}(ii).scientaEkinStep_eV = h5read([TmpFileList{2}(ii).folder filesep TmpFileList{2}(ii).name],'/scan 1/attrs/StepSize');
                catch
                    tmp = h5read([TmpFileList{2}(ii).folder filesep TmpFileList{2}(ii).name],'/entry/instrument/NDAttributes/StepSize');
                    TmpFileList{2}(ii).scientaEkinStep_eV = abs(tmp(1));
                end
            end
            TmpFileList{2}(ii).scientaEkin_eV = [TmpFileList{2}(ii).scientaEkinRange_eV(:,1):TmpFileList{2}(ii).scientaEkinStep_eV(1):TmpFileList{2}(ii).scientaEkinRange_eV(:,2)]';
        end

        clearvars tmp
        % read I_0
        try
            tmp   = h5read([TmpFileList{2}(ii).folder filesep TmpFileList{2}(ii).name],'/scan_1/i0');
        catch
            try
                tmp   = h5read([TmpFileList{2}(ii).folder filesep TmpFileList{2}(ii).name],'/scan 1/i0');
            catch
            end
        end
        try
            tmp   = h5read([TmpFileList{2}(ii).folder filesep TmpFileList{2}(ii).name],'/entry/instrument/NDAttributes/RM2I0');
        catch
        end

        try
            TmpFileList{2}(ii).beamlineInt = abs(tmp(ind));
        catch
            TmpFileList{2}(ii).beamlineInt = NaN(size(ind,1),1);
        end



        % Lens Mode
        try
            tmp =  h5read([TmpFileList{2}(ii).folder filesep TmpFileList{2}(ii).name],'/scan_1/snaps/LensMode');
            TmpFileList{2}(ii).scientaLensMode = tmp;
        catch
            try
                tmp =  h5read([TmpFileList{2}(ii).folder filesep TmpFileList{2}(ii).name],'/scan 1/attrs/LensMode');
                TmpFileList{2}(ii).scientaLensMode = tmp{1};
            catch
                tmp =  h5read([TmpFileList{2}(ii).folder filesep TmpFileList{2}(ii).name],'/entry/instrument/NDAttributes/LensMode');
                TmpFileList{2}(ii).scientaLensMode = num2str(tmp(1));
            end
        end

        clearvars tmp
        try
            TmpFileList{2}(ii).scientaRegionIterations = h5read([TmpFileList{2}(ii).folder filesep TmpFileList{2}(ii).name],'/scan_1/snaps/NumIterations');
        catch
            try
                TmpFileList{2}(ii).scientaRegionIterations = h5read([TmpFileList{2}(ii).folder filesep TmpFileList{2}(ii).name],'/scan 1/attrs/NumIterations');
            catch
                try
                    tmp = h5read([TmpFileList{2}(ii).folder filesep TmpFileList{2}(ii).name],'/entry/instrument/NDAttributes/NumIterations');
                    TmpFileList{2}(ii).scientaRegionIterations = double(tmp(1));
                catch
                    TmpFileList{2}(ii).scientaRegionIterations = 1;
                end
            end
        end
        TmpFileList{2}(ii).scientaSequenceIterations = 1;

    catch
        warning('Problem with a NEXAFS data file in NEXAFS list')
        disp('Problem with a NEXAFS data file in NEXAFS list')
        fprintf('Number %.0f: %s \n',ii,[TmpFileList{2}(ii).folder filesep TmpFileList{2}(ii).name])
        fprintf('Number %.0f: %s \n',ii,datestr(TmpFileList{2}(ii).datenum))
    end

    TmpFileList{2}(ii).imageRoh       = TmpFileList{2}(ii).image;
    TmpFileList{2}(ii).spectrum_countsPerSecondRoh       = TmpFileList{2}(ii).spectrum_countsPerSecond;
    % log
    TmpFileList{2}(ii).importDate        = datestr(now);
    try
        TmpFileList{2}(ii).analysisDir   = file.mFile;
    catch
        TmpFileList{2}(ii).analysisDir   = pwd;
    end
end

% else
%     for ii = 1:size(TmpFileList{2},1) % do this for each list element
%         try
%             % NEXAFS pass energy
%             tmp = h5read([TmpFileList{2}(ii).folder filesep TmpFileList{2}(ii).name],'/entry/instrument/NDAttributes/PassEnergy'); % in eV
%             %  TODO: Confirm that this assignment is correct. (The number refer to the list number in epics software)
%             if tmp(1) == 1
%                 TmpFileList{2}(ii).passEnergy_eV = {[20]};
%             elseif tmp(1) == 2
%                 TmpFileList{2}(ii).passEnergy_eV = {[50]};
%             elseif tmp(1) == 3
%                 TmpFileList{2}(ii).passEnergy_eV = {[100]};
%             elseif tmp(1) == 4
%                 TmpFileList{2}(ii).passEnergy_eV = {[200]};
%             end
%
%             % NEXAFS dwell time
%             if datenum(filedate_first) >= datenum('1-Feb-2020 23:59:00')
%                 tmp = h5read([TmpFileList{2}(ii).folder filesep TmpFileList{2}(ii).name],'/entry/instrument/NDAttributes/ScientaStepTime')*1000; % in ms
%
%             else
%                 tmp = h5read([TmpFileList{2}(ii).folder filesep TmpFileList{2}(ii).name],'/entry/instrument/NDAttributes/StepTime')*1000; % in ms
%             end
%             TmpFileList{2}(ii).dwellTime_ms = tmp(1);
%             % NEXAFS region Name
%             TmpFileList{2}(ii).regionName = 'NEXAFS';
%             % FIXME: Can we differentiate O K-edge, N K-edge, C K-edge based on the h5-file meta data?
%
%             % NEXAFS kinetic energy window
%             tmp = h5read([TmpFileList{2}(ii).folder filesep TmpFileList{2}(ii).name],'/entry/instrument/NDAttributes/LowEnergy'); % in eV
%             tmp2 = h5read([TmpFileList{2}(ii).folder filesep TmpFileList{2}(ii).name],'/entry/instrument/NDAttributes/HighEnergy');
%             TmpFileList{2}(ii).kinRange_eV = [tmp(1) tmp2(1)];
%
%             % Lens mode
%             tmp =  h5read([TmpFileList{2}(ii).folder filesep TmpFileList{2}(ii).name],'/entry/instrument/NDAttributes/LensMode');
%             TmpFileList{2}(ii).scientaLensMode = tmp{1};
%             clearvars tmp
%         catch
%             warning('Problem with a NEXAFS data file in NEXAFS list')
%             disp('Problem with a NEXAFS data file in NEXAFS list')
%             fprintf('Number %.0f: %s \n',ii,[TmpFileList{2}(ii).folder filesep TmpFileList{2}(ii).name])
%             fprintf('Number %.0f: %s \n',ii,datestr(TmpFileList{2}(ii).datenum))
%         end
%
%     end
% end



disp('*************************************************')
disp('* Voila: Done reading and writing NEXAFS data!  *')
disp('*************************************************')
%% Create Picture List
%
%  The file structure needs same number of fields as SES and NEXAFS data.
%  Set them to NaN (Not-a-Number).


for ii = 1:size(TmpFileList{3},1) % do this for each picture in the list


    TmpFileList{3}(ii).creationDate = datevec(NaN);
    TmpFileList{3}(ii).image = NaN;
    TmpFileList{3}(ii).spectrum_counts = NaN;
    TmpFileList{3}(ii).spectrum_countsPerSecond = NaN;
    TmpFileList{3}(ii).xRayEkin_eV = NaN;
    TmpFileList{3}(ii).xRayEkinRange_eV = [NaN NaN];
    TmpFileList{3}(ii).scientaPassEnergy_eV = NaN;
    TmpFileList{3}(ii).scientaDwellTime_ms = NaN;
    TmpFileList{3}(ii).regionName = ' ';
    TmpFileList{3}(ii).scientaAcquisitionMode = ' ';
    TmpFileList{3}(ii).scientaEkinRange_eV = [NaN NaN];
    TmpFileList{3}(ii).scientaEkinStep_eV = NaN;
    TmpFileList{3}(ii).scientaEkin_eV = NaN;
    TmpFileList{3}(ii).beamlineInt = cell(1);
    TmpFileList{3}(ii).scientaLensMode = ' ';
    TmpFileList{3}(ii).scientaRegionIterations = NaN;
    TmpFileList{3}(ii).scientaSequenceIterations = NaN;
    TmpFileList{3}(ii).imageRoh = {NaN};
    TmpFileList{3}(ii).spectrum_countsPerSecondRoh = NaN;
    TmpFileList{3}(ii).importDate = ' ';
    TmpFileList{3}(ii).analysisDir = ' ';


end


%% Merge lists into one
%

% get index of non-empty structures
tf  =~cellfun(@isempty,TmpFileList);

% merge the non-empty list structures into one structure
ListFiles = cat(1,TmpFileList{tf});

% remove lines with empty images
for ii = 1:size(ListFiles,1)
    tmpLogic(ii) = isempty(ListFiles(ii).image);
    noncells    = tmpLogic;
end
ListFiles(noncells) = [];

clearvars -except ListFiles server dataPath* p


%%



%% Sort by date

% First, we need to convert into a table, because structures can not be sorted:
ListFiles = struct2table(ListFiles,'AsArray',true);
% Then, we sort the table based on the time (6th column, datenum)
ListFiles = sortrows(ListFiles,6);
% Then, remove un-needed columns
ListFiles = removevars(ListFiles,{'bytes','isdir'});

disp('*************************************************')
disp('*       Voila: Done creating data list!         *')
disp('*************************************************')
%% Import LabView data
%
if matches(p.Results.importLabView,'on')
    if isfolder(dataPath_LabView) % verify that this folder exists.
        try
            % Get list of all files in that folder
            TmpFileList = dir([dataPath_LabView filesep '**' filesep '20*.dat']);

            % import LabView data
            LabView = LabView_importData(fullfile(TmpFileList(1).folder,TmpFileList(1).name));  % Overwrite LabView data in workspace, if this is the first import
            if size(TmpFileList,1) > 1  % for additional data files, add these to the LabView data structure.
                for ii = 2:size(TmpFileList,1)
                    LabView = LabView_importData(fullfile(TmpFileList(ii).folder,TmpFileList(ii).name),LabView);
                end
            end
        catch
            warning('Problem with LabView file')
            disp('Problem reading LabView file')
        end

        try
            % Get list of all files in that folder
            TmpFileList = dir([dataPath_LabView filesep '**' filesep 'logfile*.txt']);

            % import LabView data
            LabView = LabView_importData(fullfile(TmpFileList(1).folder,TmpFileList(1).name));  % Overwrite LabView data in workspace, if this is the first import
            if size(TmpFileList,1) > 1  % for additional data files, add these to the LabView data structure.
                for ii = 2:size(TmpFileList,1)
                    LabView = LabView_importData(fullfile(TmpFileList(ii).folder,TmpFileList(ii).name),LabView);
                end
            end
        catch
            warning('Problem with LabView file')
            disp('Problem reading LabView file')
        end
    end
    disp('*************************************************')
    disp('*       Voila: Done reading LabView data!       *')
    disp('*************************************************')

    clearvars TmpFileList

    try
        % combine data and/or rename
        LabView = LabView_combine(LabView);
    catch
        warning('Problem with LabView file')
        disp('Problem merging LabView files')
        disp('Check number of columns for each file')
    end

    %% Extent list with LabView data

    %Query time of each data file and get LabView log for that time.

    for ii = 1:size(ListFiles,1)

        try

            % The time of the data and the logging of LabView are not
            % necessarily occurring at precisely the same time. So, here define
            % a time range (50 seconds) and get all
            % data between these times.
            tse1 = tsdata.event('Start',datenum(ListFiles.datenum(ii)),'Datenum');
            tse2 = tsdata.event('End',datenum(ListFiles.datenum(ii)+seconds(50)),'Datenum');
            tmp = gettsbetweenevents(LabView.merge,tse1,tse2);

            if ~isempty(tmp.Data) % only do this if LabView data are not missing (because data logging was off).

                % Cryo-holder set T (Sample holder temperature is in field  ts.Data:1)
                ListFiles.sampleTemp_dC(ii)      =  tmp.Data(1,1); % in °C (only get data in first row of tmp)
                % Cell pressure
                % (TODO: Pick correct Baratron read out: either field: ts.Data 4,8,and 9)
                ListFiles.cellPressure_mbar(ii) =  tmp.Data(1,4); % in mbar
                % vapour pressure over ice:
                if ListFiles.cellPressure_mbar(ii) >= 0
                    % Marti, J., and K. Mauersberger, Geophys. Res.Lett., 20, 363?366, 1993.
                    % gives parameterisation from 169 - 273K in Pa. (log10(p)= A1/T+B)
                    A_1              = -2663.5;
                    B_1              = 12.537;
                    ListFiles.iceTemp_dC(ii)   = A_1/(log10(ListFiles.cellPressure_mbar(ii)*100)-B_1)-273.15;
                else
                    ListFiles.iceTemp_dC(ii) = NaN;
                end

                if datenum(ListFiles.datenum(ii)) >= datenum('04-Mar-2019 13:30:00') % import additional data, logged after 03/2019
                    ListFiles.smplX_mm(ii)  =  tmp.Data(1,10);
                    ListFiles.smplY_mm(ii)  =  tmp.Data(1,11);
                    ListFiles.smplZ_mm(ii) =  tmp.Data(1,12);
                    ListFiles.sealingTemp(ii) = tmp.Data(1,13);
                else % if these sub-set of data is not logged, set to NaN
                    ListFiles.smplX_mm(ii) =  NaN;
                    ListFiles.smplY_mm(ii)  =  NaN;
                    ListFiles.smplZ_mm(ii)  =  NaN;
                    ListFiles.sealingTemp(ii) = NaN;
                end
            else % if there are no LabView data stored, set all entries to NaN
                ListFiles.sampleTemp_dC(ii) = NaN;
                ListFiles.iceTemp_dC(ii) = NaN;
                ListFiles.cellPressure_mbar(ii) = NaN;
                ListFiles.smplX_mm(ii)  =  NaN;
                ListFiles.smplY_mm(ii)  =  NaN;
                ListFiles.smplZ_mm(ii)  =  NaN;
                ListFiles.sealingTemp(ii) = NaN;
            end
            clearvars tmp
        catch
            warning('Problem merging LabView data into data table')
            disp('Problem merging LabView data into data table')
            %fprintf('Number %.0f: %s \n',ii,[ListFiles.folder(ii) filesep ListFiles.name(ii)])
            %fprintf('Number %.0f: %s \n',ii,datestr(ListFiles.datenum(ii)))
        end
    end

    disp('*************************************************')
    disp('*       Voila: Done writing LabView data!       *')
    disp('*************************************************')
end
%% Make table nicer
%

if ~iscell(ListFiles.spectrum_countsPerSecond)
    ListFiles.spectrum_countsPerSecond = cell(size(ListFiles,1),1);
end
if ~iscell(ListFiles.spectrum_counts)
    ListFiles.spectrum_counts = cell(size(ListFiles,1),1);
end
if ~iscell(ListFiles.xRayEkin_eV)
    ListFiles.xRayEkin_eV  = cell(size(ListFiles,1),1);
end
if ~iscell(ListFiles.scientaEkin_eV)
    for ii = 1:size(ListFiles,1)
        tmp{ii,:}  = ListFiles.scientaEkin_eV(ii,:);
    end
    ListFiles.scientaEkin_eV = tmp;
end



% rename date fields and delete those fields not needed
[ListFiles.lastModifiedDatestr] = ListFiles.date;
[ListFiles.lastModifiedDatenum] = ListFiles.datenum;
ListFiles = removevars(ListFiles, {'date','datenum'});

% Copy Ekin Data
existColumn = strcmp('scientaEkinRoh_eV',ListFiles.Properties.VariableNames);
if any(existColumn)
    ListFiles = removevars(ListFiles,'scientaEkinRoh_eV');
end
existColumn = strcmp('scientaEkinRoh_eV',ListFiles.Properties.VariableNames);
if ~any(existColumn)
    % save current ekin data before they are modified
    ListFiles.scientaEkinRoh_eV= ListFiles.scientaEkin_eV;
end
if ~iscell(ListFiles.scientaEkinRoh_eV)
    for ii = 1:size(ListFiles,1)
        tmp{ii,:}  = ListFiles.scientaEkinRoh_eV(ii,:);
    end
    ListFiles.scientaEkinRoh_eV = tmp;
end
% work around for table variables with fitting results having the wrong
% size:
% first delete the old entries

existColumn = strcmp('peakPosition',ListFiles.Properties.VariableNames);
if any(existColumn)
    ListFiles = removevars(ListFiles,'peakPosition');
end
existColumn = strcmp('peakArea',ListFiles.Properties.VariableNames);
if any(existColumn)
    ListFiles = removevars(ListFiles,'peakArea');
end
existColumn = strcmp('peakFWHM',ListFiles.Properties.VariableNames);
if any(existColumn)
    ListFiles = removevars(ListFiles,'peakFWHM');
end
% then re-create them with right size
% 11/22 change to 5 entries from 4.
existColumn = strcmp('peakPosition',ListFiles.Properties.VariableNames);
if ~any(existColumn)
    % save current ekin data before they are modified
    ListFiles.peakPosition= NaN(size(ListFiles,1),5);
end
existColumn = strcmp('peakArea',ListFiles.Properties.VariableNames);
if ~any(existColumn)
    % save current ekin data before they are modified
    ListFiles.peakArea= NaN(size(ListFiles,1),5);
end
existColumn = strcmp('peakFWHM',ListFiles.Properties.VariableNames);
if ~any(existColumn)
    % save current ekin data before they are modified
    ListFiles.peakFWHM= NaN(size(ListFiles,1),5);
end
existColumn = strcmp('sample',ListFiles.Properties.VariableNames);
if ~any(existColumn)
    ListFiles.sample = cellstr(repmat(' ',size(ListFiles,1),1));
end
% add the imported data to previous list (if passed to function upon call)
if istable(p.Results.DataTable) % do this only if previous list was input to function call

    % find table variables that are missing in ListFiles
    existColumn = strcmp('sample',p.Results.DataTable.Properties.VariableNames);
    if ~any(existColumn)
        p.Results.DataTable.sample = cellstr(repmat(' ',size(p.Results.DataTable,1),1));
    end
    tmpMissing  = ~ismember(p.Results.DataTable.Properties.VariableNames,ListFiles.Properties.VariableNames);
    % find all table variables that are cells
    tmpCell     = cellfun(@(x) iscell(p.Results.DataTable.(x)), p.Results.DataTable.Properties.VariableNames);
    % find all table variables that are numbers
    tmpNumber   = cellfun(@(x) isnumeric(p.Results.DataTable.(x)), p.Results.DataTable.Properties.VariableNames);
    % table variabes that hold cells and are missing
    tmpCellVariables = p.Results.DataTable.Properties.VariableNames(tmpMissing & tmpCell);
    % table variables that hold numbers and are missing
    tmpNumberVariables = p.Results.DataTable.Properties.VariableNames(tmpMissing & tmpNumber);
    % add empty table variables for missing cell and for number variables
    if ~isempty(tmpCellVariables)
        for i = 1: size(p.Results.DataTable(:,tmpMissing & tmpCell),2)
            ListFiles = addvars(ListFiles,cell(size(ListFiles,1),1),'NewVariableNames',tmpCellVariables{i});
        end
    end
    if ~isempty(tmpNumberVariables)
        for i = 1: size(p.Results.DataTable(:,tmpMissing & tmpNumber),2)
            ListFiles = addvars(ListFiles,nan(size(ListFiles,1),1),'NewVariableNames',tmpNumberVariables{i});
        end
    end

    % % % sort the tables, if they have not the same order
    % tmpCompareTables = cellfun(@isequal, ListFiles.Properties.VariableNames', p.Results.DataTable.Properties.VariableNames');
    %
    % if ~all(tmpCompareTables)
    %     indexDifferenzes = find(ismember(p.Results.DataTable.Properties.VariableNames',ListFiles.Properties.VariableNames(~tmpCompareTables)','rows'));
    %     nameListFiles =ListFiles.Properties.VariableNames(~tmpCompareTables);
    %
    %     for ii = 1:size(indexDifferenzes,1)
    %         tmpIndx             = find(ismember(p.Results.DataTable.Properties.VariableNames',nameListFiles{ii},'rows'));
    %         tmpPreviousVarName  = p.Results.DataTable.Properties.VariableNames{tmpIndx-1};
    %         ListFiles = movevars(ListFiles,nameListFiles{ii},'After',tmpPreviousVarName);
    %         fprintf("%s   comes after  %s \n", nameListFiles{ii},tmpPreviousVarName)
    %     end
    %
    % end



    % merge tables (append imported data to previous table)
    ListFiles = [p.Results.DataTable; ListFiles];
    % Then, we sort the table based on the time (datenum)
    ListFiles = sortrows(ListFiles,'lastModifiedDatenum');
end

%% Export

ExportList = removevars(ListFiles, {'image', 'spectrum_counts', 'spectrum_countsPerSecond', 'scientaEkin_eV', 'beamlineInt', 'imageRoh', 'scientaEkinRoh_eV', 'xRayEkin_eV'});
% TODO  check windows formatting
try
    % write a ;-separated list for export to excel.
    writetable(ExportList,fullfile(dataPath,[datestr(ExportList.lastModifiedDatenum(1),'mmmYYYY') '_DataList.csv']),'Delimiter',',');

    if ispc
        %  and open in Excel; works only on Windows Machines
        winopen(fullfile(dataPath,[datestr(ExportList.lastModifiedDatenum(1),'mmmYYYY') '_DataList.csv']));
    end
catch
    warning('Problem writing Excel File (*.csv). Make sure it is not open in Excel')
end




disp('*************************************************')
disp('*       Voila: nappFileList.m finished    !    *')
disp('*************************************************')


end

function LabView = LabView_importData(fullFileName,varargin)
%
% LabView_importData reads data log ASCII files stored by LabView into
% a Matlab time series.
%
% LabView = LabView_importData(A) imports file A
% and stores its content as time series in a structure called "LabView".
%
% LabView = LabView_importData(A,LabView) imports file A
% and appends its content as time series to the LabView structure.
%
%
% Example
% LabView = LabView_importData('exmpl.dat',LabView)
%
% Input
% * Napp_chamber_file: Complete and absolute path to the Napp chamber log file.
% * LabView: name of output structure. Always call this'LabView'
%
% Output
% * LabView: time series, the name starting with "ts"
% followed by date and time the recording started.
%
% See also LABVIEW_COMBINE, LABVIEW_PLOT, LABVIEW_CUTDATA
%
%% Data Structure
%
% Data structure before 4.3.2019
% col 1:    Date
% col 2:    Time
% col 3:    Reservoir "Pressure 1" - Unit "1 water" - mbar  -> ts.Data:2
% col 4:    Reservoir "Pressure 2" - Unit "2 other" - mbar  -> ts.Data:3
% col 5:    Baratron 1	- cell - 1mbar max - mbar      -> ts.Data:4
% col 6:    Baratron 2	- cell - 10mbar max - mbar      -> ts.Data:8
% col 7:    Baratron 3	- cell - 0.05mbar max  - mbar      -> ts.Data:9
% col 8:    Baratron 4  -                       - mbar
% col 9:    Temp.Ice Sample                     - °C        -> ts.Data:1
% col 10:   Temp.Heated Sample
% col 11:   none
% col 12:   Temp. Reservoir "Cooler 1"          - °C        -> ts.Data:5
% col 13:   Temp. Reservoir "Cooler 2"          - °C        -> ts.Data:6
% col 14:   Flow He(cryoholder)                 - l/min     -> ts.Data:7
% col 15:   none
% col 16:   none
%
% Data structure after 4.3.2019
% col 1:    Date
% col 2:    Time
% col 3:    Reservoir "Pressure 1" - Unit "1 water" - mbar  -> ts.Data:2
% col 4:    Reservoir "Pressure 2" - Unit "2 other" - mbar  -> ts.Data:3
% col 5:    Baratron 1	- cell - 1mbar max - mbar      -> ts.Data:4
% col 6:    Baratron 2	- cell - 10mbar max - mbar      -> ts.Data:8
% col 7:    Baratron 3	- cell - 0.05mbar max  - mbar      -> ts.Data:9
% col 8:    Baratron 4  -                       - mbar
% col 9:    Temp.Ice Sample                     - °C        -> ts.Data:1
% col 10:   Temp.Heated Sample
% col 11:   Temp. Reservoir "Cooler 1"          - °C        -> ts.Data:5
% col 12:   Temp. Reservoir "Cooler 2"          - °C        -> ts.Data:6
% col 13:   Flow He(cryoholder)                 - l/min     -> ts.Data:7
% col 14:   Flow gas 1
% col 15:   Pressure chamber                    -  mbar
% col 16:   x-position of cryoholder            - mm        -> ts.Data:10
% col 17:   y-position of cryoholder            - mm        -> ts.Data:11
% col 18:   z-position of cryoholder            - mm        -> ts.Data:12
% col 19:   nothing
% col 20:   Temp.Sealing                        - °C        -> ts.Data:13


%%

% Create an InputParser object
p = inputParser;
% Add inputs to the scheme.
defaultAppendToStructure = 0;
addRequired(p,'fullFileName',@isfile);
addOptional(p,'appendToStructure',defaultAppendToStructure,@isstruct);
% Parse the inputs.
parse(p,fullFileName,varargin{:})

%%
% get filedate
[~,name,~] = fileparts(p.Results.fullFileName);
tmp = strsplit(name,'_PC');
filedate = datenum(tmp{1},'yyyy-mm-dd_HH.MM.SS');

clearvars name tmp

%%
% parse structure to append to

if isstruct(p.Results.appendToStructure)
    LabView = p.Results.appendToStructure;
end
%%
if datenum(filedate) <= datenum('04-Mar-2019 13:30:00')

    fid             = fopen(p.Results.fullFileName);
    data            = textscan(fid, ...
        '%s %s %f %f %f %f %f %f %f %f %f %f %f %f %f %f',...
        'HeaderLines',1); % data file has 2 text columns, followed by 14 numeric columns
    fclose(fid);
    % define time series
    LabView.(['ts_' datestr(datenum([char(data{1}{1}), char(data{2}{1})],'dd.mm.yyyyHH:MM:SS'),'YYYYmmdd_HHMM')])      ...
        = timeseries([data{9} data{3} data{4} data{5} data{12} ...
        data{13} data{14} data{6} data{7}] , ...
        datestr(datenum([char(data{1}), char(data{2})],...
        'dd.mm.yyyyHH:MM:SS'),0));
    LabView.(['ts_' datestr(datenum([char(data{1}{1}), char(data{2}{1})],'dd.mm.yyyyHH:MM:SS'),'YYYYmmdd_HHMM')]).Name ...
        = 'Readout Napp Chamber raw signal';
    clear fid ans formatOut  nans t x

elseif datenum(filedate) >= datenum('15-Sep-2021 01:00:00') && datenum(filedate) <= datenum('01-Apr-2023 01:00:00')
    % during this time, date and time were in american format.
    fid             = fopen(p.Results.fullFileName);
    data            = textscan(fid, ...
        '%s %s %s %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f',...
        'HeaderLines',1); %

    fclose(fid);
    % the date formating in the dat file is really messed up. Try to make
    % it consitent with MATLAB. The problem is that MATLAB does not
    % understand 1 digit month and hours.
    %
    %
    % Split the date in column 1 into year,month,day
    newDateSplit = cellfun(@(x) split(char(x),'/'),data{1},'UniformOutput', false);
    % Split the time in column 2 into hours, minutes, seconds
    newTimeSplit = cellfun(@(x) split(char(x),':'),data{2},'UniformOutput', false);
    % combine both with the am/pm string in column 3 to a new datestring
    customDateStr = cellfun(@(x,y,z) [datestr(datenum([str2double(x{3}),str2double(x{1}),str2double(x{2}),str2double(y{1}),str2double(y{2}),str2double(y{3})])), ' ', char(z)], newDateSplit,newTimeSplit,data{3}, 'uniformOutput',false) ;

    % define time series
    LabView.(['ts_' datestr(customDateStr{1},'YYYYmmdd_HHMM')])      ...
        = timeseries([data{10} data{4} data{5} data{6} data{12} ...
        data{13} data{14} data{7} data{8} data{17} data{18} data{19} data{21}], ...
        customDateStr);
    LabView.(['ts_' datestr(customDateStr{1},'YYYYmmdd_HHMM')]).Name ...
        = 'Readout Napp Chamber raw signal';
    clearvars fid ans formatOut  nans t x new* custom*


elseif datenum(filedate) >= datenum('01-Apr-2023 02:00:00')

    fid             = fopen(p.Results.fullFileName);
    data            = textscan(fid, ...
        '%s %s %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f',...
        'HeaderLines',1);
    % data file has 2 text columns, followed by 18 numeric columns (THE AM
    % PM IS MISSING and some changes to the LabView file. Confirm with Luca....)
    fclose(fid);
    % define time series

    LabView.(['ts_' datestr(datenum([char(data{1}{1}), char(data{2}{1})],'dd.mm.yyyyHH:MM:SS'),'YYYYmmdd_HHMM')])      ...
        = timeseries([data{9} data{3} data{4} data{5} data{11} ...
        data{12} data{20} data{6} data{7} data{15} data{16} data{17} data{19}] , ...
        datestr(datenum([char(data{1}), char(data{2})],...
        'dd.mm.yyyyHH:MM:SS'),0));

    LabView.(['ts_' datestr(datenum([char(data{1}{1}), char(data{2}{1})],'dd.mm.yyyyHH:MM:SS'),'YYYYmmdd_HHMM')]).Name ...
        = 'Readout Napp Chamber raw signal';
    clear fid ans formatOut  nans t x

else
    fid             = fopen(p.Results.fullFileName);
    data            = textscan(fid, ...
        '%s %s %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f',...
        'HeaderLines',1); % data file has 2 text columns, followed by 14 numeric columns
    fclose(fid);
    % define time series

    LabView.(['ts_' datestr(datenum([char(data{1}{1}), char(data{2}{1})],'dd.mm.yyyyHH:MM:SS'),'YYYYmmdd_HHMM')])      ...
        = timeseries([data{9} data{3} data{4} data{5} data{11} ...
        data{12} data{13} data{6} data{7} data{16} data{17} data{18} data{20}] , ...
        datestr(datenum([char(data{1}), char(data{2})],...
        'dd.mm.yyyyHH:MM:SS'),0));

    LabView.(['ts_' datestr(datenum([char(data{1}{1}), char(data{2}{1})],'dd.mm.yyyyHH:MM:SS'),'YYYYmmdd_HHMM')]).Name ...
        = 'Readout Napp Chamber raw signal';
    clear fid ans formatOut  nans t x
end
end

function data_structure = LabView_combine(data_structure)
% LabView_combine can be used to merge time series into one.
%
% LabView = LabView_combine(LabView) merges all timeseries in the structure
% LabView into the new timeseries "merge"
% and adds this timeseries to the LabView structure
%
%
% Input
% * data_structure: name of the structure holding the time series
%
% Output
% * data_structure.merge: New time series combining all ts in this structure
%
% See also LABVIEW_IMPORTDATA, LABVIEW_PLOT

% delete previous merged data
if isfield(data_structure,'merge')
    data_structure = rmfield(data_structure, 'merge');
end

% sort them chronologically
data_structure = orderfields(data_structure);

% query list of time series
list_ts = fieldnames(data_structure);

% and merge all of them into one time series
for ii = 1:length(list_ts)
    if ii == 1
        data_structure.merge = data_structure.(list_ts{1});
    else
        data_structure.merge = append(data_structure.merge,data_structure.(list_ts{ii}));
    end
end




end

function splitH5Scans(infile)
% splitH5Scans - Split an HDF5 file containing multiple scans into separate files
%
% This function takes an HDF5 file with multiple scan groups (scan_1, scan_2, etc.)
% and creates separate files for each scan. Each output file contains only one
% scan (renamed to scan_1) plus the logs group. The original file is deleted after
% successful splitting.
%
% SYNTAX:
%   splitH5Scans(infile)
%
% INPUT:
%   infile - String containing the full path to the input HDF5 file
%            Example: '0002_20251119_145823_O_Kedge_Nov25.h5'
%
% OUTPUT:
%   Creates new HDF5 files in the same directory as the input file.
%   Each file is named: [original_name]_scan_N.h5
%   Example outputs:
%     0002_20251119_145823_O_Kedge_Nov25_scan_1.h5
%     0002_20251119_145823_O_Kedge_Nov25_scan_2.h5
%
% REQUIREMENTS:
%   - MATLAB with HDF5 support (R2011a or later)
%   - Input file must have more than 3 root-level groups to be processed
%
% EXAMPLE:
%   splitH5Scans('0002_20251119_145823_O_Kedge_Nov25.h5');
%
% Author: Perplexity and Thorsten
% Date: November 2025

% Read the structure of the HDF5 file to see what groups it contains
% h5info returns information about groups, datasets, and attributes
fileinfo = h5info(infile);

% Get the original file's modification date before we start
    % This will be copied to all new files to preserve the original timestamp
    orig_file_info = dir(infile);
    orig_mod_datetime = orig_file_info.date;  % Get as datetime object
    

% Extract the names of all groups at the root level of the file
% Example: {'/scan_1', '/scan_2', '/logs', '/__DATA_TYPES__'}
groupnames = {fileinfo.Groups.Name};

% Only process files that have more than 3 groups at the root level
% This ensures we only split files with multiple scans
if numel(groupnames) > 3

    % Find which groups are scan groups (contain 'scan_' in their name)
    % This returns a logical array: true for scan groups, false otherwise
    is_scan = contains(groupnames, 'scan_');

    % Extract only the scan group names
    % Example: {'/scan_1', '/scan_2'}
    scan_names = groupnames(is_scan);

    % Split the input filename into its components
    % filepath: directory where file is located (e.g., 'C:\Data\')
    % base: filename without extension (e.g., '0002_20251119_145823_O_Kedge_Nov25')
    % ext: file extension (e.g., '.h5')
    [filepath, base, ext] = fileparts(infile);

    % If no directory path, use current directory
    if isempty(filepath)
        filepath = '.';
    end

    % Extract the file number prefix and rest of the name using pattern matching
    % regexp splits '0002_20251119_145823_O_Kedge_Nov25' into:
    %   prefix = '0002_'
    %   rest = '20251119_145823_O_Kedge_Nov25'
    pieces = regexp(base, '(\d+_)(.*)', 'tokens', 'once');
    prefix = pieces{1};  % The number at the start (e.g., '0002_')
    rest = pieces{2};    % Everything after the number

    % Loop through each scan group and create a separate file for it
    for k = 1:numel(scan_names)

        % Get the full path of the current scan group
        % Example: '/scan_1' or '/scan_2'
        scan_group_full = scan_names{k};

        % Remove the leading '/' from the scan name for use in filename
        % Example: '/scan_2' becomes 'scan_2'
        scan_name_clean = regexprep(scan_group_full, '^/', '');

        % Build the output filename in the same directory as input file
        % Example: 'C:\Data\0002_20251119_145823_O_Kedge_Nov25_scan_2.h5'
        outname = fullfile(filepath, sprintf('%s%s_%s%s', prefix, rest, scan_name_clean, ext));

        % Copy the entire original file to create the new output file
        % We'll modify this copy to keep only one scan
        copyfile(infile, outname);

        % Open the new file for reading and writing using low-level HDF5 functions
        % fid is a file identifier used to reference this file
        % 'H5F_ACC_RDWR' means read and write access
        fid = H5F.open(outname, 'H5F_ACC_RDWR', 'H5P_DEFAULT');

        % Delete all scan groups except the one we want to keep
        % Loop through all scan groups in the original file
        for j = 1:numel(scan_names)
            other_scan = scan_names{j};  % Get the name of another scan group

            % If this is not the scan we want to keep, delete it
            if j ~= k
                try
                    % H5L.delete removes the link (reference) to the group
                    % This makes the group inaccessible but doesn't free space
                    H5L.delete(fid, other_scan, 'H5P_DEFAULT');
                catch
                    % If deletion fails (e.g., group doesn't exist), continue
                    % The catch block prevents the script from stopping on errors
                end
            end
        end

        % Rename the kept scan group to '/scan_1' for consistency
        % This way every output file has a group called '/scan_1'
        if ~strcmp(scan_group_full, '/scan_1')
            % H5L.move renames/moves a group within the file
            % Parameters: source_file, old_path, dest_file, new_path, options
            H5L.move(fid, scan_group_full, fid, '/scan_1', 'H5P_DEFAULT', 'H5P_DEFAULT');
        end

        % Close the HDF5 file to save all changes
        H5F.close(fid);

 % Copy the modification date from the original file to the new file
            % Convert MATLAB datenum to timestamp format: YYYYMMDDhhmm.ss
            timestamp_str = string(datetime(orig_mod_datetime), 'yyyyMMddHHmm.ss');
            if ismac
                touch_cmd = sprintf('touch -t %s "%s"', timestamp_str, outname);
                system(touch_cmd);
            end

        % Print confirmation message showing which file was created
     %   fprintf('Created: %s\n', outname);
    end

    % After all split files are successfully created, delete the original file
    delete(infile);
   % fprintf('Deleted original file: %s\n', infile);

else
    % If the file has 3 or fewer groups, it doesn't need splitting
  %  disp('File has three or fewer groups. No processing required.');
end

end