Abstract
Over 500 single cell transcriptomics studies have been published to date. Many of these have data available, but the links between data, study, and systems studied can be hard to identify through literature search. This manuscript describes a nearly exhaustive and manually curated database of single cell transcriptomics studies with descriptions of what kind of data and what biological systems have been studied. Additionally, based on the text in the listed papers information about analysis is included in the database, allowing analysis of trends in the field. As a particular example, it is demonstrated that the number of cell types identified in single cell RNA sequencing studies is directly proportional to the number of cells analyzed. Instructions to access the database are available at www.nxn.se/single-cell-studies/.