How do I extract the Datetime array from the CSV ?

I am trying to extract the Average Ice concentration and date time from the CSV file. I managed to extract the Average ice concentration, but for the date time it is extracting as individual cell arrays with datetime in eah cell as follows

I would want it to extract the datetime like this (from another project but cell2mat doesnot work here)

The cell2mat function doesnot work. I would want some recommendations on how to proceed.

The code is as follows

%% Importing data file

% Note: The text file has headers and two columns:

% Column 1 - example of entry: {[2010-12-16 0:00]}

% Column 2 - Ice concentration Min

% Column 3 - Ice concentration Average

% Column 4 - Ice concentration Max

%% Because these are two different data types, they need to be imported as a CELL ARRAY

B=readcell('Ice concentration data.csv'); % Note: The csv format is automatically recognized.

B(1:1,:) = []; % Removing top rows (headers)

%% From this array, we extract the Average Ice Concentration levels

% Average Ice Concentration levels - production of a one-column numeric matrix

average_ice_concentration_level = cell2mat(B(:,3));% Converting average ice concentration from numeric cell

% to numeric vector (matrix)

%% From the same array, we extract date, month, day

% Step 1: Production of a character vector matrix

date_ice_concentration = (B(:,1));

Answer 1

[Star Strider]

The readtable funciton imports it as a datetime array —

T1 = readtable('https://www.mathworks.com/matlabcentral/answers/uploaded_files/1184228/Ice%20concentration%20data.csv')

T1 = 412×4 table
        DateTime        Conc_Ice_Min    Conc_Ice_Avg    Conc_Ice_Max
    ________________    ____________    ____________    ____________

    2010-12-16 00:00         3             8.2262            10     
    2010-12-18 00:00         4             8.6094            10     
    2010-12-21 00:00         0             5.5628            10     
    2010-12-23 00:00         0             6.2192            10     
    2010-12-27 00:00         0             8.2719            10     
    2010-12-28 00:00         0             9.4814            10     
    2010-12-29 00:00         3             9.4074            10     
    2010-12-30 00:00         0             8.5246            10     
    2010-12-31 00:00         0              7.944            10     
    2011-01-02 00:00         0             5.9938            10     
    2011-01-03 00:00         0             5.0078            10     
    2011-01-04 00:00         0             8.0016            10     
    2011-01-05 00:00         0             8.8131            10     
    2011-01-06 00:00         0             8.3935            10     
    2011-01-07 00:00         0             8.8402            10     
    2011-01-08 00:00         3             9.1284            10     

T1.DateTime

ans = 412×1 datetime array
   2010-12-16 00:00
   2010-12-18 00:00
   2010-12-21 00:00
   2010-12-23 00:00
   2010-12-27 00:00
   2010-12-28 00:00
   2010-12-29 00:00
   2010-12-30 00:00
   2010-12-31 00:00
   2011-01-02 00:00
   2011-01-03 00:00
   2011-01-04 00:00
   2011-01-05 00:00
   2011-01-06 00:00
   2011-01-07 00:00
   2011-01-08 00:00
   2011-01-09 00:00
   2011-01-10 00:00
   2011-01-11 00:00
   2011-01-12 00:00
   2011-01-13 00:00
   2011-01-14 00:00
   2011-01-15 00:00
   2011-01-16 00:00
   2011-01-17 00:00
   2011-01-18 00:00
   2011-01-20 00:00
   2011-01-20 00:00
   2011-01-22 00:00
   2011-02-10 00:00

VN = T1.Properties.VariableNames;
lgdstr = cellfun(@(x)strrep(x,'_','\_'), VN(2:end), 'Unif',0)

lgdstr = 1×3 cell array
    {'Conc\_Ice\_Min'}    {'Conc\_Ice\_Avg'}    {'Conc\_Ice\_Max'}

figure
plot(T1.DateTime, T1{:,2:end})
grid
legend(lgdstr, 'Location','best')

.