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Research

Research outputs · OUT-DAT-001

Datasets and growing recipes

Required files, metadata and evidence levels for raw datasets, processed data and reusable cultivation recipes.

MarkdownJSONRevised 2026-07-26
In brief

Required files, metadata and evidence levels for raw datasets, processed data and reusable cultivation recipes.

Dataset release

Each dataset contains raw sensor records, actuator events, calibration identifiers, plant-material metadata, treatment allocation, deviations, harvest records and analysis code or processing instructions.

Recipe release

A growing recipe includes crop, cultivar, seed lot, developmental timeline, physical light targets, elemental nutrient formulation, pH and EC policy, root-zone conditions, rotation schedule, harvest protocol and validation scope.

Release package

ObjectMinimum contents
Raw dataunaltered sensor, event, image and laboratory records
Metadatasystem, biological material, environment, units, calibration and provenance
Processingversioned scripts, parameters and generated outputs
Recipetime-indexed physical targets, tolerances, safety limits and supported system
Result summarytested crop, cultivar, cycles, effect size, uncertainty and replication status

Datasets are designed around MIAPPE-compatible plant metadata and FAIR principles. A recipe is released only with a bounded statement of where it was tested.

Article bibliography

Sources used on this page