Cold-Chain-Transportation-Strawberry

# Article-Release Dataset Downloads

The finalized article-release dataset is hosted directly in this Hugging Face repository.

## Primary Download — Hugging Face

| File | Format | View on Hugging Face | Direct download |
|---|---|---|---|
| `ALL_benchmark_W60.parquet` | Apache Parquet | [View file](https://huggingface.co/datasets/NifferLi/Cold-Chain-Transportation-Strawberry/blob/main/article_release/ALL_benchmark_W60.parquet) | [Download](https://huggingface.co/datasets/NifferLi/Cold-Chain-Transportation-Strawberry/resolve/main/article_release/ALL_benchmark_W60.parquet?download=true) |
| `ALL_benchmark_W60.xlsx` | Microsoft Excel | [View file](https://huggingface.co/datasets/NifferLi/Cold-Chain-Transportation-Strawberry/blob/main/article_release/ALL_benchmark_W60.xlsx) | [Download](https://huggingface.co/datasets/NifferLi/Cold-Chain-Transportation-Strawberry/resolve/main/article_release/ALL_benchmark_W60.xlsx?download=true) |

The Parquet file is recommended for programmatic analysis. The Excel file is provided for convenient inspection and use in spreadsheet software.

## Backup Download — Google Drive

If the Hugging Face preview or download is temporarily unavailable, the same article-release files can be downloaded from the following public Google Drive backup folder:

[Open the Google Drive backup folder](https://drive.google.com/drive/folders/1nGwz-wM6gM68djXA60qpG-73-kPFidKW?usp=sharing)

The backup folder contains:

```text
ALL_benchmark_W60.parquet
ALL_benchmark_W60.xlsx
```

The Google Drive folder is configured as:

> **Anyone with the link → Viewer**

No access request should normally be required.

## Dataset Description

Both files contain the same finalized article-release benchmark dataset in different formats.

The dataset contains:

- **14,398 rows**
- **107 columns**
- data from six strawberry cold-chain shipments;
- resampled multi-sensor temperature measurements;
- engineered W60 features;
- current risk-stage labels;
- future severe-risk prediction targets;
- explanation-consistency cause flags;
- data-quality, confidence, and audit-related fields.

## Recommended Format

### Parquet

Use `ALL_benchmark_W60.parquet` for:

- Python or R analysis;
- machine-learning experiments;
- preservation of data types;
- efficient loading and storage.

### Excel

Use `ALL_benchmark_W60.xlsx` for:

- manual inspection;
- spreadsheet-based review;
- convenient viewing of columns and values.

## Loading with Python

### Parquet

```python
from huggingface_hub import hf_hub_download
import pandas as pd

repo_id = "NifferLi/Cold-Chain-Transportation-Strawberry"

path = hf_hub_download(
    repo_id=repo_id,
    filename="article_release/ALL_benchmark_W60.parquet",
    repo_type="dataset"
)

df = pd.read_parquet(path)

print(df.shape)
print(df.head())
```

### Excel

```python
from huggingface_hub import hf_hub_download
import pandas as pd

repo_id = "NifferLi/Cold-Chain-Transportation-Strawberry"

path = hf_hub_download(
    repo_id=repo_id,
    filename="article_release/ALL_benchmark_W60.xlsx",
    repo_type="dataset"
)

df = pd.read_excel(path)

print(df.shape)
print(df.head())
```

## Loading Files Downloaded from Google Drive

If the files were downloaded from the Google Drive backup folder, load them directly from the local directory:

```python
import pandas as pd

df_parquet = pd.read_parquet("ALL_benchmark_W60.parquet")
df_excel = pd.read_excel("ALL_benchmark_W60.xlsx")

print(df_parquet.shape)
print(df_excel.shape)
```

## Availability Note

Hugging Face is the primary hosting and documentation platform for this dataset.

The public Google Drive folder is maintained as a backup mirror to ensure continuous access if the Hugging Face file preview, content-delivery service, or direct download is temporarily unavailable.

Both locations provide the same finalized article-release files.

## Citation

When using this dataset, please cite the associated article:

```text
Li, H., Uygun, Ö., Yu, X., Zhou, Y., Chang, X., & Chen, C.-H.
A Human-Centric Edge-Oriented Decision Support System for Cold Chain Transportation:
Early Warning, Trigger-Time Explanation, and Prescriptive Action Ranking.
Advanced Engineering Informatics, forthcoming.
```

The DOI and final bibliographic details will be added once available.

The dataset repository may also be cited as:

```bibtex
@dataset{li_coldchain_transportation_strawberry_advei,
  author    = {Li, Hu},
  title     = {Cold-Chain Transportation Strawberry Dataset for ADVEI Article Release},
  publisher = {Hugging Face},
  year      = {2026},
  note      = {Processed dataset for the accepted Advanced Engineering Informatics article}
}
```

## Contact

For questions about the dataset, file contents, or download access, please open a discussion in the Hugging Face dataset repository.