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
63/100 · DStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
SARS-CoV-2 short-read amplicon. Grade D QC; evidence provisional. Adapter contamination at 20.19% blocks reuse. Q30 at 88.8% is this dataset's weakest point—bases near variant sites will be less certain than samples with 96%+ Q30. Combined adapter and base-quality issues make marginal SNPs unreliable without pre-filtering.
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