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LLNL/kosh: 2.0 Release

Abstract

Description This release aligns Kosh with Sina and makes it the only backend. Kosh and Sina (1.11) API's have been mostly aligned. Sina curve and file section can now be recognized and taken advantage by Kosh. New in this release Sina alignment: Sina is only supported backend, no more code to potentially support other backends curves appear as associated files with mimetype appear as virtual associated files Kosh exported json files are sina-compatible and Kosh can ingest Sina's json files Stores are now opened via: kosh.connect(...) search(...) is now find(...) any non Kosh-reserved record type is considered a dataset find functions return generators (used to be lists) Support for ensembles Kosh stores can be associated with other Kosh stores. kosh command line: can create stores can add datasets can use htar to tar up data datasets can be cloned While importing a dataset into a store, there are now options to handle conflicts. Loader for file saved by numpy (.npy) Store can fix changed/updated fast_sha Improvements Do not try to import external Python packages until needed -> some loader might appear as valid even though python packages are missing. versioning is now pip compatible import_dataset(...) can import list of datasets Added verbose argument to transformers and operators -> this will let the user know when retrieving data from cache set user name to "default" if can't get it from USER env var Bug fixes matplotlib import would crash if no DISPLAY environment variable hdf5 leading / fix No more error if a known mime type points to missing file (list_features will not show it) dissociate files from store after moving them

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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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