whbrewer/smoke-pm

---
license: cc-by-sa-4.0
task_categories:
- tabular-classification
- tabular-regression
tags:
- setgo
- domain:geospatial
- ai-ready
size_categories:
- n>10M
---
# Daily 10km Smoke PM2.5 Predictions

SetGo-processed geospatial dataset

## Dataset Description

- **Domain:** geospatial
- **Source:** `/opt/drai/geospatial/smokePM2pt5_predictions_daily_10km_20060101-20201231.csv`
- **Processed by:** [SetGo](https://github.com/your-org/setgo) (Scientific Metadata Readiness Toolkit)

## Dataset Structure

### Data Splits

| Split | Samples |
|-------|---------|
| train | 51,434,138 |

### Features

This dataset contains 2 features:

- `date`
- `smokePM_pred`

## Usage

```python
from datasets import load_dataset

# Load the dataset
dataset = load_dataset("whbrewer/smoke-pm")

# Access splits
train_data = dataset["train"]

# Convert to pandas
df = dataset["train"].to_pandas()
```

## Processing Details

This dataset was processed using SetGo (Scientific Metadata Readiness Toolkit),
which transforms raw scientific data into AI-ready formats.

### Preprocessing Applied

- ingest
- preprocess
- transform
- structure
- output

### Normalization

Features have been normalized using z-score normalization.

## Source & Attribution

- **License:** [Creative Commons Attribution Share Alike 4.0 International](https://creativecommons.org/licenses/by-sa/4.0/)
- **Title:** Daily 10km Smoke PM2.5 Predictions
- **Authors:** Marissa Childs, Jessica Li
- **DOI:** [10.7910/DVN/DJVMTV](https://doi.org/10.7910/DVN/DJVMTV)
- **Source:** https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/DJVMTV

> This dataset requires **attribution** — you must give appropriate credit, provide a link to the license, and indicate if changes were made.
>
> This dataset uses a **share-alike** license — derivative works must be distributed under the same license.
>

## Citation

If you use this dataset, please cite:

```bibtex
@dataset{childs2024wildfirepm25,
author = {Childs, Marissa and Li, Jessica and Wen, Jeffrey and Heft-Neal, Sam and Driscoll, Anne and Wang, Sherrie and Gould, Carlos and Qiu, Minghao and Burney, Jennifer and Burke, Marshall},
title = {Daily local-level estimates of ambient wildfire smoke PM2.5 for the contiguous US},
year = {2024},
version = {V1},
publisher = {Harvard Dataverse},
doi = {10.7910/DVN/DJVMTV},
url = {https://doi.org/10.7910/DVN/DJVMTV},
note = {UNF:6:F8qjyHrmAWW3JxnlUNRSxQ==}
}
```