Towards recommendations for metadata and data handling in plant phenotyping. - Wikidata - wikimedia - TriplyDB

Towards recommendations for metadata and data handling in plant phenotyping.

Towards recommendations for metadata and data handling in plant phenotyping.

http://www.wikidata.org/entity/Q35653199

about

Data integration in biological research: an overview Quantitative monitoring of Arabidopsis thaliana growth and development using high-throughput plant phenotyping Towards an open grapevine information system PGP repository: a plant phenomics and genomics data publication infrastructure Use of Natural Diversity and Biotechnology to Increase the Quality and Nutritional Content of Tomato and Grape.When more is better: how data sharing would accelerate genomic selection of crop plants.Introducing the Brassica Information Portal: Towards integrating genotypic and phenotypic Brassica crop data.Measures for interoperability of phenotypic data: minimum information requirements and formatting Mining Plant Genomic and Genetic Data Using the GnpIS Information System.Plant specimen contextual data consensus.LEAFDATA: a literature-curated database for Arabidopsis leaf development.Redefining 'stress resistance genes', and why it matters EURISCO: The European search catalogue for plant genetic resources.Reshaping Plant Biology: Qualitative and Quantitative Descriptors for Plant Morphology.Similarities between plant traits based on their connection to underlying gene functions.AraPheno: a public database for Arabidopsis thaliana phenotypes.Floral pathway integrator gene expression mediates gradual transmission of environmental and endogenous cues to flowering time.An Automated Method for High-Throughput Screening of Arabidopsis Rosette Growth in Multi-Well Plates and Its Validation in Stress Conditions.Phenotyping in Plants. Preface.Ensembl Genomes 2018: an integrated omics infrastructure for non-vertebrate species.The European Bioinformatics Institute in 2017: data coordination and integration.The Quest for Understanding Phenotypic Variation via Integrated Approaches in the Field Environment.Integration of multi-omics techniques and physiological phenotyping within a holistic phenomics approach to study senescence in model and crop plants.Harnessing diversity from ecosystems to crops to genes

P2860

Q26785948-D48F3727-566C-45F4-9310-2BD9EB1C8F8E Q27309250-31DC52F7-7065-4114-BD0B-EB5C653FB9E1 Q28078084-DD470CE4-DAED-4626-B563-52D2044C4017 Q28604151-033F23D4-C9B3-4E98-8868-B243636882D3 Q30376870-0C1F07E1-FC5C-46CE-B522-DEC5993DFDFD Q30490151-1B1320CC-38AC-45E3-B526-291F627BF0FE Q30491732-68EF5F88-0825-4A00-9275-0E1E32DD2C01 Q31142305-53673311-F04A-4AC0-A51E-B8B84F955EE6 Q31149674-C50C2B2D-E80C-443E-A975-9F4185A00FA7 Q36332182-E97C78BB-372E-481F-B11F-F3DC66B70F9E Q36583827-132756E0-4C4F-45AE-859A-986A81949FEF Q37343549-A95DBBBB-8B7A-4127-B8F6-F9C7F659B903 Q37556944-56EBA874-1FF7-4C10-8405-CBE14012BA0A Q37622066-0790314E-DA1A-4721-A16F-E2D33B6E6110 Q38430048-4227B495-3571-4FD2-9659-8D6555D4379E Q39125717-2250F443-6F2E-4464-A4E8-AE94FCB148AB Q42290857-9BE113A5-F25B-4BBA-850E-E201D49F8613 Q42372895-ADA4F7E4-1461-4F93-8347-1C91E841A65A Q42587022-4D5CD710-DBFF-446F-BE98-882BB2E4C9AA Q46270713-A2871FBD-21DC-4C26-B8A4-C1C1936BBB06 Q47172675-01D40FB6-E65A-4A93-A1CD-BC1F1112C63E Q48132261-FFC6BBF4-05FE-4B27-AF2B-4C41354549B9 Q49998093-77B74496-9945-4B64-B458-04E07420A1C0 Q58056284-7DF764A3-962C-41FE-93F7-8B451A6EF794

P2860

Towards recommendations for metadata and data handling in plant phenotyping.

http://www.wikidata.org/entity/Q35653199

description

2015 nî lūn-bûn

@nan

2015年の論文

@ja

2015年論文

@yue

2015年論文

@zh-hant

2015年論文

@zh-hk

2015年論文

@zh-mo

2015年論文

@zh-tw

2015年论文

@wuu

2015年论文

@zh

2015年论文

@zh-cn

name

Towards recommendations for metadata and data handling in plant phenotyping.

@ast

Towards recommendations for metadata and data handling in plant phenotyping.

@en

type

label

Towards recommendations for metadata and data handling in plant phenotyping.

@ast

Towards recommendations for metadata and data handling in plant phenotyping.

@en

prefLabel

Towards recommendations for metadata and data handling in plant phenotyping.

@ast

Towards recommendations for metadata and data handling in plant phenotyping.

@en

P1433

Q35653199-DF31E0B3-D89B-4613-A9C3-55DC63ED1B90

P1476

Q35653199-FAFFE1A0-9A43-4ED8-AC46-FAEA64CA8081

P2093

Q35653199-2CC1F68C-5812-4A51-A732-FFE0C4F743C1

Q35653199-3A3B143C-7403-4C48-B6EC-BC402CFC65ED

Q35653199-3C176B2B-65EB-4769-B262-480F5CD5C04D

Q35653199-4225FBA7-1E52-4ABF-B644-A85C0D3C81B7

Q35653199-C19B2FAA-D7A1-4233-91A3-B2152B67AF70

Q35653199-EA080D50-B52D-465F-B3A1-06F21CA84C9F

Q35653199-F0E4150D-8AE8-4B4B-AB7C-FE85D67FFF69

Q35653199-F94FF9C2-7521-4121-99D1-FDD8C741CFFF

P2860

Q35653199-00FE3F92-BE8A-41F0-A401-4248CD5511C9

Q35653199-0EB2A742-DEFD-4214-A129-2F8A6BC9405D

Q35653199-17B1149D-CCBB-4161-9B05-5794938FC995

Q35653199-2356A49C-E0D2-4B81-B936-19060ED99EA6

Q35653199-27FF1DFB-C240-4F97-9654-2DD22AEC6F4F

Q35653199-298088A3-CB46-4B4C-B062-15CC6649CC70

Q35653199-359174B6-6245-4ABD-B43B-785C883F1261

Q35653199-4817F5DF-5786-44AB-B393-BB18918A8AEA

Q35653199-55140A2A-FE58-445C-80B2-ABE38B72851B

Q35653199-59B7EF4A-6FB5-4956-8F08-7A0C328D5A2B

P304

Q35653199-65C0CF6D-0FE2-4375-A6B7-D30031BFF01A

P31

Q35653199-A86C28C4-C462-4CFA-852C-EB74B94C25DD

P356

Q35653199-F109946F-AD9D-46D3-A6BA-0B7DDB44ADCC

P433

Q35653199-DC4D47E4-AEE9-429C-8537-CE51C17A9B9E

P478

Q35653199-2BF63942-8D7E-4007-B455-3D2A39E4E421

P50

Q35653199-2DC2F9EC-D24C-46FF-B97E-0C471B6BE5F7

Q35653199-3267D6D2-DDAF-4754-8047-1FDC418AC110

Q35653199-446DAB03-C61F-4052-8212-CB1BD89F7D20

Q35653199-5AC3F38C-685B-4438-809B-8C7E8AB14303

Q35653199-A18CBB97-D4FE-4173-81C7-E93C2B6F6C9C

Q35653199-BF6EF57C-F988-471C-9781-7116EF86C617

Q35653199-E31F79E8-2A2A-481D-A125-CB378864386A

Q35653199-F8FDFD21-50E1-4F7B-BDB0-433F6C353B07

P577

Q35653199-0071039A-2FC0-4092-8135-A0498513E53C

P5875

Q35653199-E9289DE6-DD4E-4117-B906-58EFFE2C01FB

P698

Q35653199-D9AF29D0-4E5A-462E-95F0-39ACCF3350F3

P921

Q35653199-2A76D69A-76C5-43E9-AD0D-398ECEC66763

P356

P1433

Journal of Experimental Botany

P1476

Towards recommendations for metadata and data handling in plant phenotyping

@en

P2093

Augustyn Markiewicz

http://www.w3.org/2001/XMLSchema#string

Christian Klukas

http://www.w3.org/2001/XMLSchema#string

Dijun Chen

http://www.w3.org/2001/XMLSchema#string

Hanna Ćwiek

http://www.w3.org/2001/XMLSchema#string

Jan Peter Nap

http://www.w3.org/2001/XMLSchema#string

Jan van Oeveren

http://www.w3.org/2001/XMLSchema#string

Marco van Schriek

http://www.w3.org/2001/XMLSchema#string

Paweł Krajewski

http://www.w3.org/2001/XMLSchema#string

P2860

Semantic similarity in biomedical ontologies

Integrating phenotype ontologies across multiple species

Plant genetic resources: what can they contribute toward increased crop productivity?

A simple spreadsheet-based, MIAME-supportive format for microarray data: MAGE-TAB

MIAME/Plant - adding value to plant microarrray experiments

Mathematical models light up plant signaling

Minimum information about a microarray experiment (MIAME)-toward standards for microarray data

Toward interoperable bioscience data

The systems biology markup language (SBML): a medium for representation and exchange of biochemical network models

Probing the reproducibility of leaf growth and molecular phenotypes: a comparison of three Arabidopsis accessions cultivated in ten laboratories

P304

5417-5427

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1093/JXB/ERV271

http://www.w3.org/2001/XMLSchema#string

P433

18

http://www.w3.org/2001/XMLSchema#string

P478

66

http://www.w3.org/2001/XMLSchema#string

P50

Aalt D J van Dijk

P577

2015-06-04T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P5875

277674927

http://www.w3.org/2001/XMLSchema#string

P698

26044092

http://www.w3.org/2001/XMLSchema#string

P921