Ontology of Experimental Events

Names

More detailed information about this field from each metasource. ×

Ontology of Experimental Events

metasource: Fairsharing.org
version: None

---

OEEV

metasource: Fairsharing.org
version: None

Close

Other names: OEEV

The Ontology of Experimental Events (OEEv) characterizes events that occur during an experiment; for example, moving of plants, dates of sowing, application of a given treatment, harvesting, measurements or sampling for ‐omic measurements, or any category of technical problem. The OEEv ontology contains four groups of events, namely Faciility Management, Scientific Object Management, Trouble and Displacement

Webpage:

Licence:

Publications:

Publications

More detailed information about this field from each metasource. ×

Dealing with multi-source and multi-scale information in plant phenomics: the ontology-driven Phenotyping Hybrid Information System
PMID: 30152011

metasource: Fairsharing.org
version: None

Close

• Dealing with multi-source and multi-scale information in plant phenomics: the ontology-driven Phenotyping Hybrid Information System PubMed citations: 19.

  19 articles citing: Dealing with multi-source and multi-scale information in plant phenomics: the ontology-driven Phenotyping Hybrid Information System

  ×

  Applications of Multi-Omics Technologies for Crop Improvement. PMID:34539683

  ---

  Opportunities and limits of controlled-environment plant phenotyping for climate response traits. PMID:34302493

  ---

  UAS-Based Plant Phenotyping for Research and Breeding Applications. PMID:34195621

  ---

  Crop breeding for a changing climate: integrating phenomics and genomics with bioinformatics. PMID:33852055

  ---

  Editorial: Phenotyping; From Plant, to Data, to Impact and Highlights of the International Plant Phenotyping Symposium - IPPS 2018. PMID:33343612

  ---

  Applying FAIR Principles to Plant Phenotypic Data Management in GnpIS. PMID:33313522

  ---

  A systems genetics approach reveals environment-dependent associations between SNPs, protein coexpression, and drought-related traits in maize. PMID:33060172

  ---

  Phenomics-based GWAS analysis reveals the genetic architecture for drought resistance in cotton. PMID:32558152

  ---

  Low-Cost Automated Vectors and Modular Environmental Sensors for Plant Phenotyping. PMID:32545168

  ---

  Gloxinia-An Open-Source Sensing Platform to Monitor the Dynamic Responses of Plants. PMID:32481619

  ---

  Decoding Plant-Environment Interactions That Influence Crop Agronomic Traits. PMID:32392328

  ---

  Plant, space and time - linked together in an integrative and scalable data management system for phenomic approaches in agronomic field trials. PMID:32336978

  ---

  Emerging Technologies in Algal Biotechnology: Toward the Establishment of a Sustainable, Algae-Based Bioeconomy. PMID:32256509

  ---

  Enabling reusability of plant phenomic datasets with MIAPPE 1.1. PMID:32171029

  ---

  Semantic concept schema of the linear mixed model of experimental observations. PMID:32109232

  ---

  Combining computer vision and deep learning to enable ultra-scale aerial phenotyping and precision agriculture: A case study of lettuce production. PMID:31231528

  ---

  To clean or not to clean phenotypic datasets for outlier plants in genetic analyses? PMID:31020325

  ---

  Review: New sensors and data-driven approaches-A path to next generation phenomics. PMID:31003608

  ---

  CropSight: a scalable and open-source information management system for distributed plant phenotyping and IoT-based crop management. PMID:30715329

Tags:

Tags

More detailed information about this field from each metasource. ×

experimental measurement

metasource: Fairsharing.org
version: None

---

protocol

metasource: Fairsharing.org
version: None

---

study design

metasource: Fairsharing.org
version: None

Close

experimental measurement protocol study design