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ZENODO
Software . 2026
License: CC BY
Data sources: Datacite
ZENODO
Software . 2026
License: CC BY
Data sources: Datacite
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KIC Spheroid Calcium Pipeline (Script 02b/03) – Multi-Batch Dataset Integration

Authors: Buono, Michele Filippo; Spanjersberg, Talitha; Scheen, Nikki; van der Wilt, Celia Nina;

KIC Spheroid Calcium Pipeline (Script 02b/03) – Multi-Batch Dataset Integration

Abstract

KIC Spheroid Calcium Pipeline — Script 02b/03 GUI-based R pipeline for merging multiple batch-level merged.csv datasets generated in Script 02a into a unified multi-batch dataset. What's included GUI selection of input/output paths Recursive scanning for merged.csv files Merging of multiple batch-level datasets into a unified multi-batch table Automatic column alignment across batches (NA fill for missing columns) Preservation of logical flags generated in Script 02a (keep_1hz, valid_well) Retention of assigned metadata (Group, optional RowGroup, Batch) Integrity checks for missing metadata and duplicate well identifiers Export of a standardized merged_raw.csv file Inputs merged.csv files generated in Script 02a Nested folder structures supported (recursive search enabled) Required columns: Well Batch Group Num.Peaks Optional but recommended: RowGroup keep_1hz valid_well Outputs merged_raw.csv containing: All standardized MEANS summary statistics Preserved filtering flags Assigned Group Optional RowGroup Batch identifiers Source tracking metadata Dataset is standardized and ready for statistical modeling, cross-group comparisons, multi-batch integration, and downstream visualization (Script 03). Citation Developed by Michele Buono, Talitha Spanjersberg, Nikki Scheen, and Nina van der Wilt.Free for research use and adaptation with citation via Zenodo.

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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!
0
Average
Average
Average