Dataset for publication "Toward an Autonomous Robotic Battery Materials Research Platform Powered by Automated Workflow and Ontologized Findable, Accessible, Interoperable, and Reusable Data Management"
Creators
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Svaluto-Ferro, Enea
(Data collector)1
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Kimbell, Graham
(Data curator)1
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Kim, YeonJu
(Data collector)1
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Plainpan, Nukorn
(Data manager)1
- Kunz, Benjamin (Data collector)1
- Scholz, Lina (Data collector)1, 2
- Laeubli, Raphael (Data collector)1, 2
- Becker, Maximilian (Data collector)1
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Reber, David
(Data collector)1
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Kraus, Peter
(Data curator)1
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Kühnel, Ruben-Simon
(Data collector)1
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Battaglia, Corsin
(Contact person)1, 2, 3
Description
Scope
This dataset comprises detailed data from 199 coin cell batteries featuring either NMC//graphite or LFP//graphite chemistries cycled for 1000 cycles. All batteries were assembled and cycled using the automated robotic battery materials research platform, Aurora, at Empa, the Swiss Federal Laboratories for Materials Science and Technology, within the Laboratory for Materials for Energy Conversion.
This dataset accompanies the publication:
Toward an Autonomous Robotic Battery Materials Research Platform Powered by Automated Workflow and Ontologized Findable, Accessible, Interoperable, and Reusable Data Management.
Batteries & Supercaps, 2025, https://doi.org/10.1002/batt.202500155
Data Structure
The dataset is packaged as a RO-Crate (Research Object Crate), facilitating standardized and machine-readable data sharing.
For each battery cell, the following files are included:
Battery cell metadata file:
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Filename:
empa__ccid000XXX.metadata.json
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Description: Contains semantically annotated battery assembly data along with the cycling protocol applied to the specific battery cell. The file is structured in JSON-LD format and leverages the Battery Interface Ontology (BattINFO) domain to ensure semantic interoperability and rich data description.
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Reference: Battery Interface Ontology — BattInfo documentation
Battery cell cycling data files:
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Filenames:
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empa__ccid000XXX.bdf.csv
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empa__ccid000XXX.bdf.parquet
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Description: Cycling data is provided in two formats: CSV and Parquet. Both contain identical data. The CSV format enables straightforward human inspection, while the Parquet format supports faster parsing and is optimized for automated processing. These files follow the Battery Data Format (BDF) for Time-Series Data, as recommended by the Battery Data Alliance.
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Reference: Battery Data Alliance - Battery Data Format Definition
Files
Dataset-rocrate.zip
Files
(2.5 GB)
Name | Size | Download all |
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md5:eaec9549b74b59d998e5138dab965b5d
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2.5 GB | Preview Download |
Additional details
Related works
- Is supplement to
- Publication: 10.1002/batt.202500155 (DOI)
Funding
- European Union
- BIG-MAP, Battery Interface Genome - Materials Acceleration Platform 957189
- European Union
- Battery2030+, large-scale research initiative, CSA2 957213
- European Union
- Battery2030+, large-scale research initiative, CSA3 101104022
- European Union
- InteLiGent, Innovative and Sustainable High Voltage Li-ion Cells for Next Generation EV Batteries 101069765
- Board of the Swiss Federal Institutes of Technology
- ORD PREMISE, Open and Reproducible Materials Science Research
- State Secretariat for Education, Research and Innovation
- Battery2030+, large-scale research initiative, CSA3 2300313
- State Secretariat for Education, Research and Innovation
- InteLigent, Innovative and Sustainable High Voltage Li-ion Cells for Next Generation (EV) Batteries 2200142