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ZENODO
Dataset . 2018
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2018
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2018
License: CC BY
Data sources: ZENODO
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[Data_Science] Interviews Oceanography, March 2015 - May 2017

Authors: Halfmann, Gregor;

[Data_Science] Interviews Oceanography, March 2015 - May 2017

Abstract

This is a collection of transcripts from interviews conducted by Gregor Halfmann as part of the ERC project "The Epistemology of Data-intensive Science". The interviews served as the empirical basis for Halfmann's PhD thesis "Seafarers, Silk, and Science: Oceanographic Data in the Making", submitted at the University of Exeter in July 2018. The interviews relate to the research practices, in particular the production and processing of research samples and scientific data, by marine ecologists and biological oceanographers working at the Marine Biological Association of the UK and for the Continuous Plankton Recorder Survey. Researchers have consented to have these transcripts made available as Open Data.

Related Organizations
Keywords

sampling, philosophy, science and technology studies, data production, marine ecology, plankton, scientific data, oceanography

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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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69