  Reconstructing the chemical evolution of the Milky Way is crucial for
understanding the formation of stars, planets, and galaxies throughout cosmic
time. Different studies associated with element production in the early
universe and how elements are incorporated into gas and stars are necessary to
piece together how the elements evolved. These include establishing chemical
abundance trends, as set by metal-poor stars, comparing nucleosynthesis yield
predictions with stellar abundance data, and theoretical modeling of chemical
evolution. To aid these studies, we have collected chemical abundance
measurements and other information such as stellar parameters, coordinates,
magnitudes, and radial velocities, for extremely metal-poor stars from the
literature. The database, JINAbase, contains 1658 unique stars, 60% of which
have [Fe/H]<2.5. This information is stored in an SQL database, together with a
user-friendly queryable web application (http://jinabase.pythonanywhere.com).
Objects with unique chemical element signatures (e.g., r-process stars,
s-process and CEMP stars) are labeled or can be classified as such. The web
application enables fast selection of customized comparison samples from the
literature for the aforementioned studies and many more. Using the multiple
entries for three of the most well studied metal-poor stars, we evaluate
systematic uncertainties of chemical abundances measurements. We provide a
brief guide on the selection of chemical elements for model comparisons for
non- spectroscopists who wish to learn about metal-poor stars and the details
of chemical abundances measurements.
