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2026-04-04 00:00:00
2026-04-04 00:00:00
808
100,877
100,877
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Mbissa
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2026-04-04
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2026-04-04
5,008
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Riviere Sangha située en République Centrafricaine
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Not Reported
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Not Applicable
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1,856
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Not Applicable
Not Applicable
HDX
2026-04-04
486
28,753
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3.3
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1,961
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HDX
2026-04-04
807
100,876
100,876
PA
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2,683
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1,961
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HDX
2026-04-04
485
28,752
28,752
PA
Loumi
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Classified Forest
Classified Forest
National
Not Reported
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Terrestrial
0
60
Not Applicable
0
Designated
1,950
Not Restricted
Not Reported
Not Reported
Not Reported
Not Reported
Not Applicable
Not Applicable
Not Reported
Not Reported
1,961
CAF
CAF
Not Applicable
Not Applicable
Not Applicable
HDX
2026-04-04
488
28,778
28,778
PA
Birini
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Classified Forest
Classified Forest
National
Not Reported
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Terrestrial
0
1,200
Not Applicable
0
Designated
1,951
Not Restricted
Not Reported
Not Reported
Not Reported
Not Reported
Not Applicable
Not Applicable
Not Reported
Not Reported
1,961
CAF
CAF
Not Applicable
Not Applicable
Not Applicable
HDX
2026-04-04

Protected and Conserved Areas (WDPCA) in Central African Republic | Africa (original)

Size category: n<1K - Formats: parquet - Sector: climate_environment - Engineered by Electric Sheep Africa

size sector downloads license

TL;DR

This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.

What This Dataset Covers

Public datasets help analysts inspect structured evidence, build reproducible workflows, and compare patterns across domains.

Dataset context from the existing Hugging Face card: Protected and Conserved Areas (WDPCA) in Central African Republic Publisher: The UN Environment Programme World Conservation Monitoring Centre (UNEP-WCMC) · Source: HDX · License: cc-by-igo · Updated: 2026-03-03 Abstract The World Database on Protected and Conserved Areas (WDPCA) combines the formerly separate World Database on Protected Areas (WDPA) and World Database on Other Effective Area-based Conservation Measures (WD-OECM). The WDPCA is the most comprehensive… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-unep-wdpca-caf.

Dataset Profile

Field Value
Hugging Face repo electricsheepafrica/africa-unep-wdpca-caf
Sector climate_environment
Topic tags humanitarian, hdx, electric-sheep-africa, environment, geodata, caf
Modalities tabular, text
Formats parquet
Size category n<1K
Countries Central African Republic
ISO3 coverage CAF
Last modified on HF 2026-04-04 10:10:00+00:00
Inventory snapshot 2026-07-16T16:00:34Z

How To Read This Dataset

  • Start from the repository files and the dataset viewer when available.
  • Treat the README context as a fast orientation layer; confirm variable definitions and units in the data files before modeling.
  • Use explicit country columns when present. When geography is only implied by the title or source metadata, document that assumption in downstream analysis.
  • Preserve missing values until you have a defensible imputation rule.

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-unep-wdpca-caf")
print(ds)

split_name = next(iter(ds))
table = ds[split_name]
print(table.features)
print(table[:3])

Convert To Pandas When Tabular

from datasets import Dataset

first_split = ds[next(iter(ds))]
if isinstance(first_split, Dataset):
    df = first_split.to_pandas()
    print(df.head())

Data Quality Notes

  • This card was standardized from the Electric Sheep Africa Hugging Face metadata inventory.
  • Exact schema, row counts, and source files should be inspected in the repository data files.
  • Metadata gaps from the inventory: upstream_publisher.
  • Do not infer policy meaning from labels alone; confirm definitions, units, and methods in the source material.

Source And Provenance

Suggested Analyses

  • Inspect schema and missingness before modeling.
  • Profile variables by geography, time, and subgroup columns where present.
  • Join with other Electric Sheep Africa datasets using explicit country, year, and indicator fields when available.
  • Build reproducible notebooks that cite both the original source context and the Electric Sheep Africa Hugging Face repo.

Citation

@misc{electric_sheep_africa_africa_unep_wdpca_caf_2026,
  title        = {Protected and Conserved Areas (WDPCA) in Central African Republic | Africa (original)},
  author       = {original},
  year         = {2026},
  url          = {https://huggingface.co/datasets/electricsheepafrica/africa-unep-wdpca-caf},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-unep-wdpca-caf}}
}

License

Released under CC BY 4.0.

Original source rights remain with the original publisher or data provider. Electric Sheep Africa engineering standardizes discovery metadata, documentation, and usage guidance for analysis on Hugging Face.

About Electric Sheep Africa

Electric Sheep Africa publishes ML-ready African public datasets on Hugging Face.


Provenance: metadata-backed README standardized 2026-08-12 by the Electric Sheep Africa README system. Inventory source: catalog/esa_metadata_inventory/master_metadata.jsonl.

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