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ZENODO
Dataset . 2019
License: CC BY NC SA
Data sources: Datacite
ZENODO
Dataset . 2019
License: CC BY NC SA
Data sources: Datacite
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Melodic Features for Meertens Tune Collections and ESSEN Folksong Collection

Authors: Van Kranenburg, Peter;

Melodic Features for Meertens Tune Collections and ESSEN Folksong Collection

Abstract

The Meertens Tune Collections (MTC) and the Essen Folk Song Collections include various data sets with melodic data. The melodies are provided in Humdrum **kern encoding and as MIDI sequences. In many cases, a representation of the melodies as sequences of feature values is needed rather than encoded scores. The present dataset provides such feature sequences. It is accompanied by a Python module that offers functionality to load and filter the sequences: MTCFeatures. The documentation of MTCFeatures contains a detailed description of the features. The following melody collections are included: MTC-ANN-2.0.1 - A small set of 360 richly annotated melodies from Dutch sources. MTC-FS-INST-2.0 - A large set of c. 18 thousand melodies from Dutch sources. ESSEN Folksong Collection - A set of more than 8 thousand folk song melodies mainly from Germany. For more information on the contents of the Meertens Tune Collections, please visit http://www.liederenbank.nl/mtc/. For the Essen Folk Song Collection, the features were extracted from the **kern files in the zip-archive as provided by the Center for Computer Assisted Research in the Humanities at Stanford University (https://kern.humdrum.org/cgi-bin/browse?l=/essen).

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Keywords

melody, tune family, folk songs, music, melody collection

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selected citations
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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.
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.
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