To date, lipidomic studies have several limitations due to differing instrumentation capabilities, extraction methods and the many isomeric and isobaric lipids that complicate annotation efforts. Accurate lipid annotation is therefore crucial for biological interpretation, however, lipids can only be annotated as far as the capabilities of each analysis platform. For example, the minimum annotations are class level (headgroup) or species level (class and fatty acyl sum composition, e.g., PC(36:4)), but analyses such as chromatography and ion mobility spectrometry coupled to mass spectrometry precursor and fragment measurements allow for fatty acyl chain compositions (e.g., PC(16:0_20:4)) and positions (sn-1 or sn-2, e,g., PC(16:0/20:4)) to be reported as well. Here, we utilize a platform combining liquid chromatography, ion mobility spectrometry, collision-induced dissociation, and mass spectrometry (LC-IMS-CID-MS) to collect untargeted lipidomic data from various sample types and populate a lipid database for use in Skyline. This database contains LC retention times, IMS collision cross section (CCS) values, and m/z precursor and fragment information for 877 lipids resulting in over 1500 features, and even contains spectral data for ~500 lipids. Skyline was used to manually process this data, calculate the CCS values, and store spectra for future library matching. A plasma subsection of the library created from Avanti standards, collected human plasma, and sea lion plasma was then utilized to evaluate potential lipid biomarkers in California sea lion suffering from domoic acid toxicosis (DAT). Fifteen triglycerides were found to distinguish the DAT sea lions from other conditions and healthy animals. A rapid triglyceride diagnostic test is now under evaluation by veterinarians.