Africa · Climate & Environment
Collection
Climate, weather, and environment data for Africa. Includes IBTrACS storm tracks, flood/drought indices, and CLIMADA risk data. • 248 items • Updated
objectid int64 | site_id int64 | site_pid int64 | site_type string | name_eng string | name string | desig string | desig_eng string | desig_type string | iucn_cat string | int_crit string | realm string | rep_m_area float64 | rep_area float64 | no_take string | no_tk_area float64 | status string | status_yr int64 | restrict string | gov_type string | own_type string | mang_auth string | mang_plan string | cons_obj string | supp_info string | verif string | inlnd_wtrs string | metadataid int64 | prnt_iso3 string | iso3 string | govsubtype string | ownsubtype string | oecm_asmt string | esa_source string | esa_processed string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
4,899 | 902,371 | 902,371 | PA | Moyen Niger II | Zone Humide du Moyen Niger II | Wetland of International Importance (Ramsar Site) | Wetland of International Importance (Ramsar Site) | International | Not Reported | (i);(ii);(iii);(iv);(vii);(viii) | Terrestrial | 0 | 658.5 | Not Applicable | 0 | Designated | 2,004 | Not Restricted | Federal or national ministry or agency | State | Direction de la Faune, de la Chasse et des Parcs et Réserves (DFC/PR) | Management plan is not implemented and not available | Not Applicable | Not Applicable | State Verified | Not Reported | 1,856 | NER | NER | Not Applicable | Not Applicable | Not Applicable | HDX | 2026-04-04 |
Protected and Conserved Areas (WDPCA) in Niger | Africa (original)
Size category: n<1K - Formats: parquet - Sector: climate_environment - Engineered by Electric Sheep Africa
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 Niger 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 global database of… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-unep-wdpca-ner.
Dataset Profile
| Field | Value |
|---|---|
| Hugging Face repo | electricsheepafrica/africa-unep-wdpca-ner |
| Sector | climate_environment |
| Topic tags | humanitarian, hdx, electric-sheep-africa, environment, geodata, ner |
| Modalities | tabular, text |
| Formats | parquet |
| Size category | n<1K |
| Countries | Niger |
| ISO3 coverage | NER |
| Last modified on HF | 2026-04-04 13:59:36+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-ner")
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
- Source context: original
- Publisher/source attribution: original
- License: CC BY 4.0
- Hugging Face URL: https://huggingface.co/datasets/electricsheepafrica/africa-unep-wdpca-ner
- Inventory retrieved at:
2026-07-16T16:00:34Z
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_ner_2026,
title = {Protected and Conserved Areas (WDPCA) in Niger | Africa (original)},
author = {original},
year = {2026},
url = {https://huggingface.co/datasets/electricsheepafrica/africa-unep-wdpca-ner},
publisher = {Hugging Face Datasets, engineered by Electric Sheep Africa},
howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-unep-wdpca-ner}}
}
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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