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ZENODO
Dataset . 2017
License: CC BY
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ZENODO
Dataset . 2017
License: CC BY
Data sources: ZENODO
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Standardizing Id-Labels For Seaweed Samples Used For Chemical Composition Analyses And Refinery Processes In Nordic And European Research Projects

Authors: Bak, Urd Grandorf; Borisov, Dimitar; Neerup, Randi; Jonsdottir, Rosa; Bruhn, Anette;

Standardizing Id-Labels For Seaweed Samples Used For Chemical Composition Analyses And Refinery Processes In Nordic And European Research Projects

Abstract

Introduction Seaweed samples can be divided into two groups: Small samples (½-3 kg wet weight (ww)) often used for chemical content analyses including seasonal variation and testing different cultivation conditions or preliminary lab scale experiments on storage, extraction, separation, fermentation, etc. Larger samples (>3 kg ww) for lab- or pilot scale experiments on storage, extraction, separation, fermentation, etc. Seaweed samples will always have the following information-tracks: Sample Code: A ID containing the most important information and the sample code will follow the sampled biomass from harvest to final research results. Seaweed Processing Code: The sample code will be extended with 8 digits and 1 letter if processing of biomass occurs. Batch Number: A code describing details about the harvest and origin of the seaweed. Sample Overview: An Excel file describing all details about the sample: first sample code, then species, grinding, freezing/drying specifications, seeding and harvesting information, planed aim of the sample (e.g. polysaccharides), place stored, seaweed processing details, analyse results, etc. Maintained by the sample provider.

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Keywords

Seaweed, sampling, ID-code, standard

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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