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
100/100 · AStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
RNA-Seq of Osmia bicornis on an Illumina HiSeq 2000 generates ~27.9 million reads at high base quality (98% ≥Q20), enabling comprehensive transcriptome profiling of this solitary bee pollinator for studies of reproduction, immunity, and environmental response. The substantial read depth and quality support precise quantification. Reuse benefits from comparison with social bee transcriptomes.
The A 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