Provenance — who produced it, who reused it
Linked to 1 papers in the literature. Roles are inferred factual signals (who deposited the data vs who reused it), with counts — never a judgement about any author.
1 further paper cites this accession but reuse could not be confirmed.
Deep data QC
67/100 · DStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
This NovaSeq 6000 amplicon dataset for SARS-CoV-2 contains 2.2 million short reads (646.6 million bases) with excellent quality (99% Q20, 96.6% Q30) and zero N-content. The 38.9% GC content reflects standard SARS-CoV-2 amplicon chemistry. High quality and solid read count support confident variant discovery and multiplexed sample analysis; suitable for studies requiring both depth and accuracy.
The D grade is a transparent weighted average. Each metric below scored from 0–100% against the published amplicon thresholds, weighted by its importance; nothing is hidden or subjective.
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0