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
83/100 · BStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
This microRNA-Seq dataset from rice (Oryza sativa Indica) was generated on an Illumina HiSeq 2500, capturing ~20.6 million short reads across ~1 billion bases with exceptional base-quality metrics (98.9% Q20, 96.8% Q30). The high-confidence small-RNA profile makes it well-suited for discovering miRNA regulatory networks in this agronomically important crop. Researchers investigating rice post-transcriptional gene silencing and miRNA-mediated stress responses will find robust evidence in this densely sequenced library.
The B grade is a transparent weighted average. Each metric below scored from 0–100% against the published bulk-RNA-seq 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