\begin{table}%tA.1
\caption{Measured periods, variability amplitudes, and errors of all objects in Run~I. In this table all measurements in the filters~{\it VRI} are given. The first~column gives the total time span covered by the observations followed by the total airmass range of the observations. The next columns describe the noise in each band. For each filter~$X$, the amplitude of variation~$\Delta m_{\rm X}$, the   standard deviation of the object~$\sigma_{\rm X}$, the standard deviation of the averaged comparison star~$\sigma_{\rm  X}^{{\rm av.}}$,  as well as the number of data points are listed. Hence, the variation of the object can be compared to the noise level of the reference stars. The last column gives the determined period together with the 1$\sigma$-error. The numbers in parentheses refer to some comments in the footnotes.}
\label{tab:run1}
%\centerline
{
{{
  \begin{tabular}{l|cccccccccccccccc}
    \hline\hline
        \multirow{2}{\Ld}{Object~name} & 
        Time cov.& Airmass & 
        \multicolumn{2}{c}{Object} & 
        CS & \# &
        \multicolumn{2}{c}{Object} & 
        CS & \# & 
        \multicolumn{2}{c}{Object} & 
        CS & \# & 
        \multicolumn{1}{c}{Period} & 
        \\ 
        &[days]&range & $\Delta m_{I}$ & $\sigma_{I}$ & $\sigma_{I}^{{\rm av.}}$& Pts. & 
$\Delta m_{R}$ & $\sigma_{R}$ & $\sigma_{R}^{{\rm av.}}$& Pts. & 
$\Delta m_{V}$ & $\sigma_{V}$ & $\sigma_{V}^{{\rm av.}}$& Pts. & 
\multicolumn{1}{c}{[days]} &Rem.
        \\ \hline
RX~J0255.4+2005        &8&1.1--2.4   &0.088&0.0493&0.0396 &22&0.1043&0.0394&0.0202&23&0.1001&0.0874&0.0245&20&3.36 $\pm$ 0.17 &(1)\\
Lk\Ha{}263            &8&1.1--2.5   &0.22&0.1581&0.0212&21&0.3083&0.1077&0.0148&16&0.3683&0.3186&0.0284&18&6.6 $\pm$ 0.48 &\\
Lk\Ha{}262            &8&1.1--2.5   &0.457&0.1604&0.0215&19&0.5761&0.15688&0.0148&16&0.7073&0.3488&0.0248&15&1.27 $\pm$ 0.02 &(2)\\
Lk\Ha{}264            &8&1.1--2.0   &0.4548&0.1442&0.0774&22&0.5017&0.1695&0.0238&16&0.6726&0.2104&0.0533&18&7.4 $\pm$ 0.2 &\\
E0255.3+2018          &8&1.1--2.6   &0.3398&0.0959&0.0382&16&0.3138&0.0934&0.0392&12&0.307 &0.1164&0.0548&12&\multicolumn{1}{c}{ n.P.}  &\\
RX J0312.8-0414NW     &8&1.2--1.5   &0.12 &0.048&0.0346&11&0.146&0.0430&0.0183&8&0.163&0.0501&0.0166&11&\multicolumn{1}{c}{ n.P.} &(3)\\
RX J0312.8-0414SE     &8&1.2--1.5   &0.08 &0.043&0.035&11&0.09   &0.0294&0.0183&8&0.1&0.0344&0.0166&11&\multicolumn{1}{c}{ n.P.} &(3)\\
RX J0324.4+0231       &8&1.2--3.3   &0.223&0.0948 &0.0234&15&0.2154&0.0960 &0.0112&13&0.2304&0.0874&0.0110&14&4.7 $\pm$ 0.1&\\
RX J0333.1+1036       &8&1.1--2.6   &0.116&0.0318&0.0432&11&0.122&0.0458&0.0178&11 &0.185 & 0.0772&0.0247&11&\multicolumn{1}{c}{ n.P.}        & (4) \\
RX J0344.8+0359       &8&1.2--3.0   &0.0599&0.0342&0.0259&11&0.0456&0.0137&0.0085&11&0.0571 &0.0211 &0.0157 &10& 1.34 $\pm$ 0.09 & (5)\\
RX J0351.4+0953W      &8&1.1--2.6   &0.0469&0.0128&0.0112&20&0.0379&0.0130&0.0063&16&0.040 &0.0144 &0.0054 &14& 3.65 $\pm$  0.2  &   \\
RX J0407.3+0113N      &8&1.2--3.0   &0.1043&0.0275&0.0184&26&0.1391&0.0348&0.0107&23&0.0941 &0.0280 & 0.0143 &21& \multicolumn{1}{c}{n.P.}  & (6)    \\
RX J0407.3+0113S      &8&1.2--3.0   &0.0861&0.0188&0.0122&28&0.1&0.0383&0.0106&24&0.13 &0.0379 & 0.0135 &23& \multicolumn{1}{c}{n.P.}  &  (6)  \\
RX J0408.2+1956       &8&1.1--2.6   &0.145&0.0506&0.0075&23&0.1566&0.0558&0.0052&27&0.1403&0.0509&0.0054&28&3.03 $\pm$ 0.04 &   \\
RX J0422.9+0141       &8&1.2--3.1   &0.0512&0.0161&0.0088&10&0.0463&0.0184&0.0034&7&0.045 &0.0160 &0.0044 &7& \multicolumn{1}{c}{n.P.}  &  (7, 8)  \\
RX J0434.3+0226       &8&1.2--3.0   &0.105&0.0245&0.0253&29&0.047&0.0122&0.0182&26&0.101&0.0279&0.0218&25& \multicolumn{1}{c}{n.P.}  &(3)\\
RX J0444.7+0813       &8&1.1--2.2   &0.0722&0.0209&0.0137&21&0.0841&0.0258&0.0059&17&0.1038 &0.0344 &0.0089 &16& 2.93 $\pm$ 0.11 &   \\
1RXS J044534.0+120917 &8&1.1--2.2   &0.0666&0.0277&0.0078&14&0.0447&0.0161&0.0052&13&0.0557 &0.0201 &0.0065 &14& 3.35 $\pm$  0.15  &     \\
RX J0445.5+1207       &8&1.1--2.0   &0.0745&0.0193&0.0083&15&0.0558&0.0189&0.0043&13&0.0948 &0.0315 &0.0045 &14& 6.34 $\pm$  0.05 & (9)     \\
RX J0450.0+0151       &8&1.2--2.6   &0.0585&0.0174&0.0127&16&0.0498&0.0159&0.0099&16&0.0673 &0.0212 &0.0073 &17& 2.23 $\pm$ 0.03 & (10) \\
RX J0457.1+3142       &8&1.1--2.6   &&&&4                  &0.035 &0.0106&0.0120&13&0.0992&0.0276&0.0083&24& \multicolumn{1}{c}{$P\gg9~\rm{d}$}& (11)    \\
RX J0528.9+1046       &7&1.1--2.0   &0.0495&0.0192&0.0063&11&0.0596&0.0194&0.0049&12&0.0674 &0.0239 &0.0038 &11& 7.04 $\pm$ 0.36  &  (8)\\
RX J0529.3+1210       &7&1.1--1.8   &0.0515&0.0194&0.0123&13&0.057&0.0242&0.0090&13&0.0804 &0.0308  & 0.0085&12& 2.14 $\pm$ 0.2&   (8, 12)\\
RX J0530.7-0434       &8&1.3--3.3   &0.091&0.0236  &0.0137 &25&0.1153&0.0331&0.0124&23&0.1234&0.0385&0.0118&21&9.4 $\pm$ 0.9& \\
    \hline
  \end{tabular}}}}
\medskip
Remarks: (1)~some data points had to be averaged to get consistent
results; (2)~too few data points to reject twice this period; (3)~noise comparable to signal, no variation; (4)~data
not consistent in all filters; (5)~alias periods can not be ruled out
completely, but all filters give consistent result; (6)~noisy data:
despite the large number of data points, no convincing period could be
found. $P=1.5$~days or even smaller seems to be likely, a~period longer
than 2.3~days is highly unlikely; (7)~very few data points;
(8)~spectroscopic binary \citep[see][]{magazzu97}; (9)~half the
period (3.3~days) possible as well, but not likely; (10)~there is a~flare in the observations; (11)~there are also consistent results in
the $B$-filter; (12)~corrected after data reduction of Run~II. Original value: 2.24~days.
\end{table}