scholarly journals Microbiota composition data for wild and captive bluestreak cleaner wrasse Labroides dimidiatus (Valenciennes, 1839)

Data in Brief ◽  
2020 ◽  
Vol 32 ◽  
pp. 106120
Author(s):  
Victor Tosin Okomoda ◽  
Ashyikin Noor Ahmad Nurul ◽  
Abdullah Muhd Danish-Daniel ◽  
Abraham Sunday Oladimeji ◽  
Ambok Bolong Abol-Munafi ◽  
...  
Data in Brief ◽  
2020 ◽  
Vol 33 ◽  
pp. 106527
Author(s):  
Nurislam Shaikhutdinov ◽  
Natalia Gogoleva ◽  
Oleg Gusev ◽  
Elena Shagimardanova

2020 ◽  
Vol 104 (17) ◽  
pp. 7391-7407
Author(s):  
Ahmad Ashyikin Noor Nurul ◽  
Abdullah Muhd Danish-Daniel ◽  
Victor Tosin Okomoda ◽  
Nur Ariffin Asma

2019 ◽  
Vol 42 ◽  
Author(s):  
Emily F. Wissel ◽  
Leigh K. Smith

Abstract The target article suggests inter-individual variability is a weakness of microbiota-gut-brain (MGB) research, but we discuss why it is actually a strength. We comment on how accounting for individual differences can help researchers systematically understand the observed variance in microbiota composition, interpret null findings, and potentially improve the efficacy of therapeutic treatments in future clinical microbiome research.


2012 ◽  
Vol 82 (3) ◽  
pp. 209-215 ◽  
Author(s):  
Simone Bell ◽  
Heikki Pakkala ◽  
Michael P. Finglas

Food composition data (FCD) comprises the description and identification of foods, as well as their nutrient content, other constituents, and food properties. FCD are required for a range of purposes including food labeling, supporting health claims, nutritional and clinical management, consumer information, and research. There have been differences within and beyond Europe in the way FCD are expressed with respect to food description, definition of nutrients and other food properties, and the methods used to generate data. One of the major goals of the EuroFIR NoE project (2005 - 10) was to provide tools to overcome existing differences among member states and parties with respect to documentation and interchange of FCD. The establishment of the CEN’s (European Committee for Standardisation) TC 387 project committee on Food Composition Data, led by the Swedish Standards Institute, and the preparation of the draft Food Data Standard, has addressed these deficiencies by enabling unambiguous identification and description of FCD and their quality, for dissemination and data interchange. Another major achievement of the EuroFIR NoE project was the development and dissemination of a single, authoritative source of FCD in Europe enabling the interchange and update of data between countries, and also giving access to users of FCD.


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