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license: cc-by-4.0
language:
- en
task_categories:
- tabular-regression
- time-series-forecasting
multilinguality: monolingual
size_categories:
- 1K<n<10K
tags:
- tabular
- csv
- africa
- madagascar
- official-statistics
- open-data
configs:
- config_name: default
data_files:
- split: train
path: data/train-00000-of-00001.parquet
pretty_name: "GDACS RSS Information | Africa (Madagascar official open data)"
---
# GDACS RSS Information | Africa (Madagascar official open data)
1,584 rows - 1 Africa country - 2026 - Repackaged by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)
## TL;DR
This dataset packages one official `CSV` resource from **Madagascar** as
ML-ready Parquet. The source file is the provenance boundary; all usable
indicators or tabular columns from the resource stay together in this repo.
## About the source
- **Source:** [GDACS RSS Information](https://data.humdata.org/dataset/gdacs-rss-information)
- **Publisher:** Global Disaster Alert and Coordination System
- **Resource:** [gdacs_rss_information.csv](https://data.humdata.org/dataset/a87f96f8-16e6-4d51-872c-cfa54a8251ec/resource/4ef001d1-7888-4f5d-98ce-0ca8006787f7/download/gdacs_rss_information.csv)
- **Format:** `CSV`
- **License:** [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)
- **Packaging mode:** `indicator_long`
## Geographic coverage
1 Africa country:
| Country | Rows | First year | Last year | Name |
|---------|-----:|-----------:|----------:|------|
| `MDG` | 1,584 | 2026 | 2026 | `Madagascar` |
## Indicators or Resource Contents
- `gdacs-rss-information-severity-value-1ad1460f` - GDACS RSS Information - severity value
- `gdacs-rss-information-geo-lat-cb0e3100` - GDACS RSS Information - geo lat
- `gdacs-rss-information-geo-long-b19a19b7` - GDACS RSS Information - geo long
## Schema
| Column | Type | Description | Example |
|--------|------|-------------|---------|
| `indicator_id` | `string` | Stable indicator identifier. | `gdacs-rss-information-severity-value-1ad1460f` |
| `indicator_name` | `string` | Human-readable indicator name. | `GDACS RSS Information - severity value` |
| `country_iso3` | `string` | ISO3 country code. | `MDG` |
| `country_name` | `string` | Country name. | `Madagascar` |
| `date` | `string` | Observation date. | `2026-08-28` |
| `year` | `Int64` | Observation year. | `2026` |
| `value` | `float64` | Numeric observation value. | `5.0` |
| `unit` | `string` | Measurement unit, when available. | `source_units_unspecified` |
| `dimension_id` | `string` | Source dimension. | `EQ1562260` |
| `dimension_iso3` | `string` | Source dimension. | `CHN` |
| `dimension_country` | `string` | Source dimension. | `China` |
| `dimension_title` | `string` | Source dimension. | `Orange earthquake (Magnitude 5M, Depth:10km) in China 28/08/2026 05:13 U` |
| `dimension_summary` | `string` | Source dimension. | `On 8/28/2026 5:13:35 AM, an earthquake occurred in China potentially aff` |
| `dimension_event_type` | `string` | Source dimension. | `Earthquake` |
| `dimension_severity_unit` | `string` | Source dimension. | `M` |
| `dimension_source` | `string` | Source dimension. | `Joint Research Center of the European Commission` |
| `dimension_from_date` | `string` | Source dimension. | `Fri, 28 Aug 2026 05:13:35 GMT` |
| `dimension_link` | `string` | Source dimension. | `https://www.gdacs.org/report.aspx?eventtype=EQ&eventid=1562260` |
| `dimension_gdacs_bbox` | `string` | Source dimension. | `101.229 109.229 25.2752 33.2752` |
| `source_period_start_year` | `Int64` | First year inferred from source resource metadata. | `` |
| `source_period_end_year` | `Int64` | Last year inferred from source resource metadata. | `` |
| `source_period_label` | `string` | Human-readable period inferred from source resource metadata. | `` |
| `source_provider` | `category` | Publishing organization. | `Global Disaster Alert and Coordination System` |
| `source_dataset` | `category` | Source package title. | `GDACS RSS Information` |
| `source_resource` | `category` | Source resource title. | `gdacs_rss_information.csv` |
| `source_package_id` | `category` | CKAN package UUID. | `a87f96f8-16e6-4d51-872c-cfa54a8251ec` |
| `source_resource_id` | `category` | CKAN resource UUID. | `4ef001d1-7888-4f5d-98ce-0ca8006787f7` |
| `source_url` | `category` | Original source resource URL. | `https://data.humdata.org/dataset/a87f96f8-16e6-4d51-872c-cfa54a8251ec/re` |
| `license_id` | `category` | Source license identifier. | `cc-by` |
| `retrieved_at` | `category` | UTC retrieval timestamp. | `2026-08-30T05:38:32Z` |
## Usage
```python
from datasets import load_dataset
ds = load_dataset("electricsheepafrica/africa-madagascar-gdacs-rss-information-26c68d4b")
df = ds["train"].to_pandas()
print(df.head())
```
### Filter to one country
```python
sample_country = df[df["country_iso3"] == "MDG"]
```
### Work with indicators
```python
if "indicator_id" in df.columns:
print(df["indicator_id"].value_counts().head())
sample = df.sort_values([c for c in ["indicator_id", "year"] if c in df.columns])
```
## Citation
```bibtex
@misc{electric_sheep_africa_africa_madagascar_gdacs_rss_information_26c68d4b_2026,
title = {GDACS RSS Information | Africa (Madagascar official open data)},
author = {Global Disaster Alert and Coordination System},
year = {2026},
url = {https://data.humdata.org/dataset/gdacs-rss-information},
publisher = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-madagascar-gdacs-rss-information-26c68d4b}}
}
```
## License
Released under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/).
Original data (c) Global Disaster Alert and Coordination System. When using this dataset, please cite both the
original source above and the Electric Sheep Africa repackaging.
## About Electric Sheep
Electric Sheep Africa is part of the Electric Sheep mission: a unified,
ML-ready data layer for Africa on Hugging Face. We pull data from authoritative
open sources, normalize the schemas, package as Parquet, and publish with
consistent dataset cards so researchers and developers can use `load_dataset()`
to start working in seconds.
Browse the full collection: [huggingface.co/electricsheepafrica](https://huggingface.co/electricsheepafrica)
---
Provenance: ingested 2026-08-30 via the Electric Sheep pipeline. Source URL:
https://data.humdata.org/dataset/a87f96f8-16e6-4d51-872c-cfa54a8251ec/resource/4ef001d1-7888-4f5d-98ce-0ca8006787f7/download/gdacs_rss_information.csv
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