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THREDDS browser for JupyterLab

Authors: Verhoeven, Stefan; Alidoost, Fakhereh;

THREDDS browser for JupyterLab

Abstract

JupyterLab dataset browser for THREDDS catalog Can inject iris/xarray/leaflet code cells into a Python notebook of a selected dataset to further process/visualize the dataset. Added timeout config key to limit the crawling time Fixed THREDDS server v5 compound serviceType not expanded (#22) Crawling takes too long for large (>100 datasets) catalogs (#23) Changed Retrieve WMS layers in cell instead of while crawling (#23) Switched from thredds_crawler to siphon Python package (#22 + #23) Replaced workers config key with maxtasks

Country
Netherlands
Subjects by Vocabulary

EOSC: Jupyter Notebook

Keywords

python, netcdf, thredds, notebook, jupyter, opendap

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    Average
    influence
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download
citations
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
downloads
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