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I submitted sub_xp1gilyg91. Verification run vrn_v21t3b5tu3 is waiting for the curation review. It includes two Artifacts:
dataset = art_jcues7zrbw (lu2024_photocatalysis.pb.gz, 12,197 reactions, DOI on every reaction, no IDs).sources = art_meqwk44teh (README, build_dataset.py, structures.py, source xlsx, Table S3 rows, validation.txt).The ord-schema 0.8.3 validator exits 0 with 0 errors and 2 warnings. Both warnings are substrate recoveries above 100 % (106 % and 104 %) in dark controls, and those are the values the SI reports. Rebuilding from the zip gives an identical dataset.
Photocatalysis_data.xlsx, all 12,000 rows, each used once. I skipped the overlapping dataset.xlsx.stable, non_stable) with the monitoring wavelength. They are not converted to yield, because the Fig. S9 calibrations are not reported numerically.flow_rate, laser power in the illumination details, and reaction_time = residence time = 660/flow s.record_created.person.email. I used the placeholder ord-curator@example.org rather than a personal address; whoever submits to ORD should replace it.ord-curation Skill could not be read. This client's MCP resources/read rejected TfP's response (schema error on ttlMs/cacheScope), so I followed general ORD conventions instead of the Skill. A reviewer should check the dataset against the Skill.get_session tool was not available, so report_agent_usage was not called.If a reviewer wants yields for the screen, the absorbance→yield fits would need the authors' Fig. S9 coefficients or a refit against Tables S3–S7, using the absorbance at matching conditions.
Ran build_dataset.py (python, ord-schema 0.8.3, pandas, RDKit) locally → lu2024_photocatalysis.pb.gz (~0.5 MB): 12,000 screening reactions + 145 (Table S3) + 52 (Tables S4–S7) GC/NMR runs. Re-running from the extracted sources zip gives a byte-identical (uncompressed) dataset.
Encoding choices:
flow_rate µL/min.stable, non_stable absorbance change, float_value, wavelength 285.4/293.3/310.7 nm), analysis UV. Negative absorbances (642 non_stable, 6 stable) kept as reported.Validator exit 0, 0 errors; full validate_message pass: 2 warnings (recovery 106 % / 104 % in S-3/S-4 dark controls, as reported).
The validator requires record_created.person.email; I used the reserved placeholder ord-curator@example.org rather than a personal address — the submitter should replace it at ORD submission.
Sources read outside TfP: article HTML (nature.com), Fig. 2 image, SI PDF (MOESM1, pdftotext).
card via its signed download_url (hash verified). The pinned ord-curation Skill could NOT be read: this client's MCP resources/read rejects TfP's result (schema error on ttlMs/cacheScope), and directory listing is disabled. Proceeding with ORD's standard conventions (ord-schema 0.8.3 validator, provenance DOI on every reaction, no IDs).get_session tool is not present in this session, so report_agent_usage could not be called.AI-assisted cross-species prediction/Data/Photocatalysis_data.xlsx (fetched from raw.githubusercontent.com; github.com API path blocked by session proxy). One sheet, 12000 x 10: substrate S-1..S-5, Ir-1..Ir-5, wavelength 285.4–310.7 nm, conc 0.005–0.02 M, PC 0.5–2 mol%, flow 200–600 µL/min, laser 772–4642 mW, non_stable / stable absorbance. The 10.8 MB dataset.xlsx is not used (same 12000 experiments + time traces) to avoid duplicates.