kumawatpankaj/test-dataset

# Dataset for publication "Toward an Autonomous Robotic Battery Materials Research Platform Powered by Automated Workflow and Ontologized Findable, Accessible, Interoperable, and Reusable Data Management"

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## 🔬 Scope

- The dataset comprises detailed data from **199 coin cell batteries** with either **NMC//graphite** or **LFP//graphite** chemistry. :contentReference[oaicite:14]{index=14}
- All battery cells 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. :contentReference[oaicite:15]{index=15}
- Each battery was cycled for **1000 cycles** under fully automated and precisely controlled conditions. :contentReference[oaicite:16]{index=16}
- The dataset supports the peer-reviewed publication: *Toward an Autonomous Robotic Battery Materials Research Platform…* (Batteries & Supercaps, 2025). :contentReference[oaicite:17]{index=17}

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## 📁 Data Structure

- The dataset is packaged as a **RO-Crate (Research Object Crate)** to facilitate standardized, machine-readable, and FAIR-compliant data sharing. :contentReference[oaicite:18]{index=18}

For **each battery cell**, the following files are included:

### 1. Battery Cell Metadata File
- **Filename:** `empa__ccid000XXX.metadata.json` :contentReference[oaicite:19]{index=19}
- **Contents:** Semantically annotated battery assembly data and the cycling protocol applied to that battery cell.
- **Format:** JSON-LD, using the **Battery Interface Ontology (BattINFO)** to ensure semantic interoperability and rich metadata representation. :contentReference[oaicite:20]{index=20}

### 2. Battery Cell Cycling Data Files
- **Filenames:**
- `empa__ccid000XXX.bdf.csv`
- `empa__ccid000XXX.bdf.parquet` :contentReference[oaicite:21]{index=21}
- **Description:** Both files contain identical cycling data.
- `.csv` — for easy human inspection.
- `.parquet` — for faster automated parsing and processing.
- **Format:** Conform to the **Battery Data Format (BDF)** for time-series data, as recommended by the **Battery Data Alliance**. :contentReference[oaicite:22]{index=22}

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## 📦 Files Included in the Dataset

- `Dataset-rocrate.zip` — contains the full RO-Crate. :contentReference[oaicite:23]{index=23}
- The archive is approximately **2.5 GB** in size. :contentReference[oaicite:24]{index=24}

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## 📌 Additional Details

- **License:** Creative Commons Attribution 4.0 International (CC-BY 4.0) — allows redistribution and reuse with appropriate credit. :contentReference[oaicite:25]{index=25}
- **Related Publication:** 10.1002/batt.202500155 (Batteries & Supercaps, 2025) — describes the robotic platform, workflow, and data management strategy. :contentReference[oaicite:26]{index=26}
- **Purpose / Importance:** Released by the Battery Data Alliance (BDA) in cooperation with Empa and partners to set a new standard for battery-research data: FAIR-compliant, traceable, interoperable and suitable for automated data analysis pipelines. :contentReference[oaicite:29]{index=29}

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## 🧪 Usage Notes

- You can download and unpack the RO-Crate to access metadata and cycling data for all 199 batteries. :contentReference[oaicite:30]{index=30}
- The JSON-LD metadata facilitates semantic queries (e.g., via ontology-aware tools) to filter batteries by chemistry, assembly protocol, cycling conditions, etc.
- The BDF cycling data — in `.parquet` — is well suited for automated analysis workflows (e.g., in Python or Julia), enabling time-series analysis, degradation modelling, machine learning, etc.

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