{"@context":"https://schema.org","@type":"TechArticle","id":"OUT-DAT-001","slug":"datasets-recipes","canonical_url":"https://flavorotor.com/research/datasets-recipes","machine_readable_url":"https://flavorotor.com/research/data/chapters/datasets-recipes.json","markdown_url":"https://flavorotor.com/research/markdown/datasets-recipes","title":"Datasets and growing recipes","description":"Required files, metadata and evidence levels for raw datasets, processed data and reusable cultivation recipes.","chapter":"Research outputs","version":"1.1","updated":"2026-07-26","table_of_contents":[{"id":"dataset","label":"Dataset release"},{"id":"recipe","label":"Recipe release"},{"id":"release-package","label":"Release package"}],"html":"<section aria-label=\"Article summary\" class=\"fr-article-summary\"><div><span>In brief</span><p>Required files, metadata and evidence levels for raw datasets, processed data and reusable cultivation recipes.</p></div></section>\n<h2 id=\"dataset\">Dataset release</h2>\n<p>Each dataset contains raw sensor records, actuator events, calibration identifiers, plant-material metadata, treatment allocation, deviations, harvest records and analysis code or processing instructions.</p>\n<h2 id=\"recipe\">Recipe release</h2>\n<p>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.</p>\n<h2 id=\"release-package\">Release package</h2><div class=\"table-wrap\"><table><thead><tr><th>Object</th><th>Minimum contents</th></tr></thead><tbody><tr><td>Raw data</td><td>unaltered sensor, event, image and laboratory records</td></tr><tr><td>Metadata</td><td>system, biological material, environment, units, calibration and provenance</td></tr><tr><td>Processing</td><td>versioned scripts, parameters and generated outputs</td></tr><tr><td>Recipe</td><td>time-indexed physical targets, tolerances, safety limits and supported system</td></tr><tr><td>Result summary</td><td>tested crop, cultivar, cycles, effect size, uncertainty and replication status</td></tr></tbody></table></div><p>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. <button aria-label=\"Open source record R23\" class=\"research-source-trigger\" data-research-source=\"R23\" type=\"button\">[R23]</button> <button aria-label=\"Open source record R24\" class=\"research-source-trigger\" data-research-source=\"R24\" type=\"button\">[R24]</button></p>","text":"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 Object Minimum contents Raw data unaltered sensor, event, image and laboratory records Metadata system, biological material, environment, units, calibration and provenance Processing versioned scripts, parameters and generated outputs Recipe time-indexed physical targets, tolerances, safety limits and supported system Result summary tested 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. [R23] [R24]","source_ids":["R23","R24"],"visuals":[],"sources":[{"id":"R23","authors":"Papoutsoglou, E. A. et al.","year":2020,"title":"Enabling reusability of plant phenomic datasets with MIAPPE 1.1","publication":"New Phytologist","doi":"10.1111/nph.16544","source_type":"community standard paper","relevance":"Provides a practical metadata structure for investigation, study, biological material and observed variables.","verification":"Publisher, PubMed, ISO or official proceedings metadata checked 2026-07-26","url":"https://doi.org/10.1111/nph.16544","verified_on":"2026-07-26","verification_status":"OFFICIAL RECORD CHECKED","verified_against":"Official ISO catalogue record"},{"id":"R24","authors":"Wilkinson, Mark D. et al.","year":2016,"title":"The FAIR Guiding Principles for scientific data management and stewardship","publication":"Scientific Data","doi":"10.1038/sdata.2016.18","source_type":"data principles","relevance":"Defines findable, accessible, interoperable and reusable research-data principles.","verification":"Publisher, PubMed, ISO or official proceedings metadata checked 2026-07-26","url":"https://doi.org/10.1038/sdata.2016.18","verified_on":"2026-07-26","verification_status":"DOI METADATA CHECKED","verified_against":"Publisher, DOI landing page, PubMed or official repository where available"}]}