# Experiment registry

Canonical HTML: https://flavorotor.com/research/experiment-registry
Machine-readable index: https://flavorotor.com/research/data/chapters/index.json



The stable identifiers, prerequisites and public states for engineering calibration and crop experiments.

In brief

The stable identifiers, prerequisites and public states for engineering calibration and crop experiments.

## Allowed states

Proposed, protocol published, preregistered, in progress, data collection complete, under analysis, completed, replication in progress, replicated, inconclusive or discontinued with reason.

## Current register

 |
 ID | Title | State | Prerequisite

 | CR-PMP-001 | Four-channel gravimetric calibration | protocol published | assembled pump channels and traceable balance
 | CR-MAG-001 | Magnetic-drive slip-torque calibration | protocol defined | assembled v2 drive
 | CR-LGT-001 | Spatial light map | protocol published | final light and geometry
 | CR-SEN-001 | pH/EC/temperature calibration | protocol published | installed sensors
 | ER-BAS-BASE-001 | Italian Large Leaf baseline repeatability | not started | engineering calibrations complete
 | ER-BAS-LGT-001 | Basil spectral treatment | not started | three baseline cycles
 | ER-BAS-MEC-001 | Basil rotation/mechanical treatment | not started | matched light/root-zone controls
 | ER-ARU-EC-001 | Arugula EC response | not started | baseline cycle and calibrated dosing
 | ER-LET-PH-001 | Lettuce pH response | not started | stable pH control
 | ER-STR-SYS-001 | Strawberry root-zone feasibility | not started | oxygen and sanitation validation
 | ER-MNT-SCR-001 | Mint feasibility screen | not started | species/clone selected

## Registry rule

A state changes only when the required artifact exists. “Completed” requires protocol, deviations, raw data, analysis and signed result summary.

## Registry metadata

Each experiment record retains study, biological-material and observed-variable metadata and remains linked to released data. [R23] [R24]

## References

- [R23] Papoutsoglou, E. A. et al. (2020). Enabling reusability of plant phenomic datasets with MIAPPE 1.1. *New Phytologist*. https://doi.org/10.1111/nph.16544
- [R24] Wilkinson, Mark D. et al. (2016). The FAIR Guiding Principles for scientific data management and stewardship. *Scientific Data*. https://doi.org/10.1038/sdata.2016.18