  We present catalogs of calibrated photometry and spectroscopic redshifts in
the Extended Groth Strip, intended for studies of photometric redshifts
(photo-z's). The data includes ugriz photometry from CFHTLS and Y-band
photometry from the Subaru Suprime camera, as well as spectroscopic redshifts
from the DEEP2, DEEP3 and 3D-HST surveys. These catalogs incorporate
corrections to produce effectively matched-aperture photometry across all
bands, based upon object size information available in the catalog and Moffat
profile point spread function fits. We test this catalog with a simple machine
learning-based photometric redshift algorithm based upon Random Forest
regression, and find that the corrected aperture photometry leads to
significant improvement in photo-z accuracy compared to the original SExtractor
catalogs from CFHTLS and Subaru. The deep ugrizY photometry and spectroscopic
redshifts are well-suited for empirical tests of photometric redshift
algorithms for LSST. The resulting catalogs are publicly available. We include
a basic summary of the strategy of the DEEP3 Galaxy Redshift Survey to
accompany the recent public release of DEEP3 data.
