---
# For reference on dataset card metadata, see the spec:
# https://github.com/huggingface/hub-docs/blob/main/datasetcard.md?plain=1
# Doc / guide:
# https://huggingface.co/docs/hub/datasets-cards

pretty_name: "AuraClima"
tags:
  - agriculture
  - climate
  - co2-emissions
  - time-series
  - forecasting
  - machine-learning
  - deep-learning
  - lstm
  - environmental-data
task_categories:
  - tabular-regression
  - time-series-forecasting
license: other
---

# Dataset Card for AuraClima

AuraClima is a collection of agricultural and climate-related datasets,
processed data, trained machine learning models, and preprocessing artifacts
developed to support the AuraClima application.

The repository brings together agriculture and food-related CO₂ emissions data,
historical CO₂ emissions data, processed datasets, trained Keras models, and
supporting preprocessing artifacts used by the application.

The dataset repository is intended to provide the data and machine learning
artifacts required by the AuraClima application while also making these
resources available for experimentation, research, and further development.

## Dataset Details

### Dataset Description

AuraClima combines agricultural and climate-related data with machine learning
and deep learning artifacts.

The repository currently contains:

- 4 CSV datasets
- 3 trained Keras models
- 1 feature-definition file
- 4 serialized preprocessing/scaling artifacts

The datasets include agricultural and food-related CO₂ emissions data,
historical CO₂ emissions data covering 1960–2018, cleaned agricultural data,
and a MinMax-scaled CO₂ emissions dataset.

The repository also includes trained models for agriculture-related prediction,
agricultural time-series modeling, and CO₂ emissions forecasting.

- **Curated by:** Abdullah Imran
- **Funded by:** Not specified
- **Shared by:** Abdullah Imran
- **Language(s) (NLP):** Not applicable
- **License:** Not specified

### Dataset Sources

- **Dataset Repository:** https://huggingface.co/datasets/AbdullahImran/AuraClima
- **Application / Demo:** https://huggingface.co/spaces/AbdullahImran/AuraClima
- **Paper:** Not specified

## Uses

### Direct Use

AuraClima can be used for experimentation and research involving:

- Agricultural data analysis
- CO₂ emissions analysis
- Climate-related data analysis
- Time-series forecasting
- Machine learning
- Deep learning
- LSTM-based forecasting
- Agricultural prediction
- Environmental data analysis
- Development and evaluation of predictive models

The repository also contains trained Keras models that can be used for
experimentation and further model development.

### Out-of-Scope Use

The dataset and included models should not be used as the sole basis for:

- Climate or environmental policy decisions
- High-stakes environmental decisions
- Safety-critical applications
- Unvalidated production systems
- Scientific claims about future climate conditions without independent
  validation
- Predictions outside the distribution of the data without appropriate
  evaluation

Model predictions should not be interpreted as authoritative climate
forecasts without appropriate scientific validation.

## Dataset Structure

The repository contains 12 files with an approximate local size of 19 MB.

```text
AuraClima/
├── Agri_Slider_Model.keras
├── Agri_TimeSeries.keras
├── Agrofood_co2_emission.csv
├── cleaned_agriculture_data.csv
├── CO2_Emissions_1960-2018.csv
├── CO2_Emissions_MinMaxScaled.csv
├── co2_lstm_forecast_model.keras
├── feature_cols2.list
├── scaler1.save
├── scaler3.save
├── scalerX2.save
└── scalerY2.save