We employ Gaia, 2MASS, and ALLWISE photometry, as well as astrometric data
from Gaia, to search for relatively bright very metal-poor ([Fe/H] ;
VMP) giant star candidates using three different criteria: 1) our derived Gaia
photometric metallicities, 2) the lack of stellar molecular absorption near 4.6
microns, and 3) their high tangential velocities. With different combinations
of these criteria, we have identified six samples of candidates with 15:
the Gold sample (24,304 candidates), the Silver GW sample (40,157 candidates),
the Silver GK sample (120,452 candidates), the Bronze G sample (291,690
candidates), the Bronze WK sample (68,526 candidates), and the Low sample
(4,645 candidates). The Low sample applies to sources with low Galactic
lattitude, , while the others are for sources with . By cross-matching with results derived from medium-resolution ( 1800) from LAMOST DR8, we establish that the success rate for identifying
VMP stars is 60.1 for the Gold sample, 39.2 for the Silver GW sample,
41.3 for the Silver GK sample, 15.4 for the Bronze G sample, 31.7
for the Bronze WK sample, and 16.6 for the Low sample, respectively. An
additional strict cut on the quality parameter can further
increase the success rate of the Silver GW, Silver GK, and Bronze G samples to
46.9 , 51.6 , and 29.3 , respectively. Our samples provide valuable
targets for high-resolution follow-up spectroscopic observations, and are made
publicly available.