The　development　of　spatial　transcriptome　sequencing　technology　has　revolutionized　our　comprehension　of　complex　tissues　and　propelled　life　and　health　sciences　into　an　era　of　spatial　omics.　However,　the　current　availability　of　databases　for　accessing　and　analyzing　spatial　transcriptomic　data　is　limited.　In　response,　we　have　established　CROST　(https://ngdc.cncb.ac.cn/crost),　a　comprehensive　repository　of　spatial　transcriptomics.　CROST　encompasses　high-quality　samples　and　houses　182　spatial　transcriptomic　datasets　from　diverse　species,　organs,　and　diseases,　comprising　1033　sub-datasets　and　48　043　tumor-related　spatially　variable　genes　(SVGs).　Additionally,　it　encompasses　a　standardized　spatial　transcriptome　data　processing　pipeline,　integrates　single-cell　RNA　sequencing　deconvolution　spatial　transcriptomics　data,　and　evaluates　correlation,　colocalization,　intercellular　communication,　and　biological　function　annotation　analyses.　Moreover,　CROST　integrates　the　transcriptome,　epigenome,　and　genome　to　explore　tumor-associated　SVGs　and　provides　a　comprehensive　understanding　of　their　roles　in　cancer　progression　and　prognosis.　Furthermore,　CROST　provides　two　online　tools,　single-sample　gene　set　enrichment　analysis　and　SpatialAP,　for　users　to　annotate　and　analyze　the　uploaded　spatial　transcriptomics　data.　The　user-friendly　interface　of　CROST　facilitates　browsing,　searching,　analyzing,　visualizing,　and　downloading　desired　information.　Collectively,　CROST　offers　fresh　and　comprehensive　insights　into　tissue　structure　and　a　foundation　for　understanding　multiple　biological　mechanisms　in　diseases,　particularly　in　tumor　tissues.　[Graphical　Abstract]