We present an optically-selected catalog of 1073 galaxy cluster and group candidates at 0.3 \lesssim z \lesssim 1 .
These candidates are drawn from the Las Campanas Distant Clusters Survey ( LCDCS ) , a drift-scan imaging survey of a 130 square degree strip of the southern sky .
To construct this catalog we utilize a novel detection process in which clusters are detected as positive surface brightness fluctuations in the background sky .
This approach permits us to find clusters with significantly shallower data than other matched-filter methods that are based upon number counts of resolved galaxies .
Selection criteria for the survey are fully automated so that this sample constitutes a well-defined , homogeneous sample that can be used to address issues of cluster evolution and cosmology .
Estimated redshifts are derived for the entire sample , and an observed correlation between surface brightness and velocity dispersion , \sigma , is used to estimate the limiting velocity dispersion of the survey as a function of redshift .
We find a net surface density of 15.5 candidates per square degree at z _ { est } \geq 0.3 , with a false-detection rate of \sim 30 % .
At z \sim 0.3 we probe down to the level of poor groups while by z \sim 0.8 we detect only the most massive systems ( \sigma \gtrsim 1000 km s ^ { -1 } ) .
We also present a supplemental catalog of 112 candidates that fail one or more of the automated selection criteria , but appear from visual inspection to be bona fide clusters .