# Curate this paper into an ORD dataset

Build an Open Reaction Database (ORD) dataset of the reactions reported in:

- **Paper:** MicroPhotoGas Reactor: High-Throughput Experimentation for Photoinduced Reactions under a Gas Atmosphere
- **Authors:** Sylvain Foucquart, Taline Kerackian, Géraud Chacktas et al.
- **Published:** OPRD, 2025-05-19
- **DOI:** [10.1021/acs.oprd.5c00118](https://doi.org/10.1021/acs.oprd.5c00118)
- **ORD wishlist card:** [open on GitHub](https://github.com/orgs/open-reaction-database/projects/11?pane=issue&itemId=126839024)

The reference input `card` holds these facts, the source-data locations and the notes below in machine-readable form.

## Scope

Every reaction the paper reports with its data (the wishlist estimates about 150 reactions; high P photo HTE): inputs with amounts and roles, conditions, workups, outcomes and provenance, following the `ord-curation` Skill. Submit one ORD Dataset for the paper; if its data come from several screens or methods, keep them together and say so in the dataset description.

## Source data

Source: Org. Process Res. Dev. 2025, DOI 10.1021/acs.oprd.5c00118 (preprint DOI 10.26434/chemrxiv-2025-tln5l): high-throughput photochemistry under a gas atmosphere in the MicroPhotoGas reactor, about 150 reactions. The SI has the results only as low-resolution images. The paper states the data is available on request from the corresponding author, so curation should start from the authors' tables, not image transcription. Record gas identity and pressure, light source and plate format in ORD's dedicated fields.

Known locations:

- [https://doi.org/10.1021/acs.oprd.5c00118](https://doi.org/10.1021/acs.oprd.5c00118): OPRD article and SI PDF (data only as low-quality images; data stated to be available on request) (license: ACS publisher licence (Crossref stm-asf; closed))
- [https://doi.org/10.26434/chemrxiv-2025-tln5l](https://doi.org/10.26434/chemrxiv-2025-tln5l): ChemRxiv preprint (from the Crossref has-preprint relation) (license: unknown)

## Pitfalls

Transcribing the low-quality images would be unreliable, so we need author-supplied data. High-pressure gas and photochemistry conditions (gas, pressure, wavelength, irradiance) must be modelled in ORD. We do not yet know whether the author data includes SMILES.

## Deliver

- `dataset`: the ORD Dataset, compressed (`.binpb.gz`, `.pb.gz`, `.txtpb.gz`, `.pbtxt.gz` or `.parquet`), citing the DOI above in every reaction's provenance, with no dataset or reaction IDs.
- `sources`: a `.zip` with a `README.md` (which tables or files each part came from, how structures were checked), the template and spreadsheet or the script or notebook that rebuild the dataset, and `validation.txt`, the output of ORD's validator (ord-schema 0.8.3) on the `dataset` file.

## Before you start

Open the wishlist card. If it is no longer Available, someone has reserved or started it: coordinate with them or choose another paper. Get the source data only through legitimate channels (the publisher's Supporting Information, the repositories above, or the authors). Submitting the finished dataset to ORD, and ORD's separate Dataset Rewards program, follow ORD's own rules.