Upload dataset folder
Browse files- README.md +149 -0
- data/train-00000-of-00001.parquet +3 -0
- metadata/source_snapshot.json +55 -0
README.md
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| 1 |
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---
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license: cc-by-4.0
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language:
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- en
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task_categories:
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- tabular-regression
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- time-series-forecasting
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multilinguality: monolingual
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size_categories:
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- 100K<n<1M
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tags:
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- tabular
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- csv
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- africa
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- namibia
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- official-statistics
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- open-data
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-00000-of-00001.parquet
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pretty_name: "Namibia: NDVI at Subnational Level | Africa (Namibia official open data)"
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---
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# Namibia: NDVI at Subnational Level | Africa (Namibia official open data)
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130,260 rows - 1 Africa country - 2022-2026 - Repackaged by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)
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## TL;DR
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This dataset packages one official `CSV` resource from **Namibia** as
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ML-ready Parquet. The source file is the provenance boundary; all usable
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indicators or tabular columns from the resource stay together in this repo.
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## About the source
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- **Source:** [Namibia: NDVI at Subnational Level](https://data.humdata.org/dataset/nam-ndvi-subnational)
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- **Publisher:** WFP - World Food Programme
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- **Resource:** [nam-ndvi-subnat-5ytd.csv](https://data.humdata.org/dataset/fc6f371f-eb4b-4ba7-945c-4a2084816bfa/resource/f32930c8-b4b2-4acf-a75e-4a061f9cd399/download/nam-ndvi-subnat-5ytd.csv)
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- **Format:** `CSV`
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- **License:** [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)
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- **Packaging mode:** `indicator_long`
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## Geographic coverage
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1 Africa country:
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| Country | Rows | First year | Last year | Name |
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|---------|-----:|-----------:|----------:|------|
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| `NAM` | 130,260 | 2022 | 2026 | `Namibia` |
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## Indicators or Resource Contents
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- `namibia-ndvi-at-subnational-level-adm-level-c4655838` - Namibia: NDVI at Subnational Level - adm level
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- `namibia-ndvi-at-subnational-level-adm-id-0db048f0` - Namibia: NDVI at Subnational Level - adm id
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- `namibia-ndvi-at-subnational-level-n-pixels-11b777ba` - Namibia: NDVI at Subnational Level - n pixels
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- `namibia-ndvi-at-subnational-level-vim-43d0b722` - Namibia: NDVI at Subnational Level - vim
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- `namibia-ndvi-at-subnational-level-vim-avg-f6393763` - Namibia: NDVI at Subnational Level - vim avg
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- `namibia-ndvi-at-subnational-level-viq-1920ba7d` - Namibia: NDVI at Subnational Level - viq
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## Schema
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| Column | Type | Description | Example |
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|--------|------|-------------|---------|
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| `indicator_id` | `string` | Stable indicator identifier. | `namibia-ndvi-at-subnational-level-adm-level-c4655838` |
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| `indicator_name` | `string` | Human-readable indicator name. | `Namibia: NDVI at Subnational Level - adm level` |
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| `country_iso3` | `string` | ISO3 country code. | `NAM` |
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| `country_name` | `string` | Country name. | `Namibia` |
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| `year` | `Int64` | Observation year. | `2022` |
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| `value` | `float64` | Numeric observation value. | `1.0` |
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| `unit` | `string` | Measurement unit, when available. | `source_units_unspecified` |
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| `dimension_pcode` | `string` | Source dimension. | `NA02` |
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| `source_period_start_year` | `Int64` | First year inferred from source resource metadata. | `2026` |
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| `source_period_end_year` | `Int64` | Last year inferred from source resource metadata. | `2026` |
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| `source_period_label` | `category` | Human-readable period inferred from source resource metadata. | `2026` |
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| `source_provider` | `category` | Publishing organization. | `WFP - World Food Programme` |
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| `source_dataset` | `category` | Source package title. | `Namibia: NDVI at Subnational Level` |
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| `source_resource` | `category` | Source resource title. | `nam-ndvi-subnat-5ytd.csv` |
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| `source_package_id` | `category` | CKAN package UUID. | `fc6f371f-eb4b-4ba7-945c-4a2084816bfa` |
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| `source_resource_id` | `category` | CKAN resource UUID. | `f32930c8-b4b2-4acf-a75e-4a061f9cd399` |
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| `source_url` | `category` | Original source resource URL. | `https://data.humdata.org/dataset/fc6f371f-eb4b-4ba7-945c-4a2084816bfa/re` |
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| `license_id` | `category` | Source license identifier. | `cc-by` |
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| `retrieved_at` | `category` | UTC retrieval timestamp. | `2026-08-30T05:38:32Z` |
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## Usage
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```python
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from datasets import load_dataset
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ds = load_dataset("electricsheepafrica/africa-namibia-namibia-ndvi-at-subnational-level-afee91fd")
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df = ds["train"].to_pandas()
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print(df.head())
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```
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### Filter to one country
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```python
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sample_country = df[df["country_iso3"] == "NAM"]
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```
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### Work with indicators
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```python
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if "indicator_id" in df.columns:
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print(df["indicator_id"].value_counts().head())
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sample = df.sort_values([c for c in ["indicator_id", "year"] if c in df.columns])
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```
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## Citation
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```bibtex
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@misc{electric_sheep_africa_africa_namibia_namibia_ndvi_at_subnational_level_afee91fd_2026,
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title = {Namibia: NDVI at Subnational Level | Africa (Namibia official open data)},
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author = {WFP - World Food Programme},
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year = {2026},
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url = {https://data.humdata.org/dataset/nam-ndvi-subnational},
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publisher = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
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howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-namibia-namibia-ndvi-at-subnational-level-afee91fd}}
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}
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```
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## License
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Released under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/).
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Original data (c) WFP - World Food Programme. When using this dataset, please cite both the
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original source above and the Electric Sheep Africa repackaging.
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## About Electric Sheep
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Electric Sheep Africa is part of the Electric Sheep mission: a unified,
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ML-ready data layer for Africa on Hugging Face. We pull data from authoritative
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open sources, normalize the schemas, package as Parquet, and publish with
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consistent dataset cards so researchers and developers can use `load_dataset()`
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to start working in seconds.
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Browse the full collection: [huggingface.co/electricsheepafrica](https://huggingface.co/electricsheepafrica)
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---
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Provenance: ingested 2026-08-30 via the Electric Sheep pipeline. Source URL:
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https://data.humdata.org/dataset/fc6f371f-eb4b-4ba7-945c-4a2084816bfa/resource/f32930c8-b4b2-4acf-a75e-4a061f9cd399/download/nam-ndvi-subnat-5ytd.csv
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data/train-00000-of-00001.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:9ea2d7736bc84355c447e80acaa21cdd58d4ede2a85f822360e4d00f0347bb80
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size 500954
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metadata/source_snapshot.json
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{
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"columns": [
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"indicator_id",
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"indicator_name",
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"country_iso3",
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"country_name",
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"year",
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"value",
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"unit",
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"dimension_pcode",
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"source_period_start_year",
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"source_period_end_year",
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"source_period_label",
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"source_provider",
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"source_dataset",
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"source_resource",
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"source_package_id",
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"source_resource_id",
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"source_url",
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"license_id",
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"retrieved_at"
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],
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"generated_at": "2026-08-30T05:39:04Z",
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"indicator_count": 6,
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"mode": "indicator_long",
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"repo_id": "electricsheepafrica/africa-namibia-namibia-ndvi-at-subnational-level-afee91fd",
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"rows": 130260,
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"source": {
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"api_base_url": "https://data.humdata.org/api/3/action",
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"country_iso3": "NAM",
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"country_name": "Namibia",
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| 32 |
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"group_names": "nam",
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"license_id": "cc-by",
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| 34 |
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"license_title": "Creative Commons Attribution International (CC BY)",
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| 35 |
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"license_url": "http://www.opendefinition.org/licenses/cc-by",
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| 36 |
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"organization_name": "wfp",
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| 37 |
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"organization_title": "WFP - World Food Programme",
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| 38 |
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"package_id": "fc6f371f-eb4b-4ba7-945c-4a2084816bfa",
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| 39 |
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"package_name": "nam-ndvi-subnational",
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"package_notes": "**PLEASE NOTE**: This dataset may experience infrequent updates due to irregularities in the supply of the underlying NASA MODIS source data. MODIS is expected to be decommissioned by the end of 2026, and this dataset may be discontinued. A possible replacement using NOAA VIIRS data is currently being explored. This dataset contains dekadal NDVI indicators computed from NASA's Moderate Resolution Imaging Spectroradiometer (MODIS) collection 6.1 from the Aqua and Terra satellite aggregated by sub-national administrative units. Included indicators are (for each dekad): - 10 day NDVI (`vim`) - NDVI long term average (`vim_lta`) - 10 day NDVI anomaly [%] (`viq`) The administrative units used for aggregation are based on WFP data and contain a Pcode reference attributed to each unit. The number of input pixels used to create the aggregates, is provided in the `n_pixels`column.",
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"package_page_url": "https://data.humdata.org/dataset/nam-ndvi-subnational",
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| 42 |
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"package_title": "Namibia: NDVI at Subnational Level",
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| 43 |
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"portal_url": "https://data.humdata.org",
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| 44 |
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"resource_description": "This resource contains a subset of the full timeseries covering the past five years to date. File id: 20260824T092346637238_675a9c25",
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| 45 |
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"resource_format": "CSV",
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| 46 |
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"resource_id": "f32930c8-b4b2-4acf-a75e-4a061f9cd399",
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| 47 |
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"resource_last_modified": "2026-08-24T09:24:46.397295",
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| 48 |
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"resource_name": "nam-ndvi-subnat-5ytd.csv",
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| 49 |
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"resource_position": "1",
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| 50 |
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"resource_url": "https://data.humdata.org/dataset/fc6f371f-eb4b-4ba7-945c-4a2084816bfa/resource/f32930c8-b4b2-4acf-a75e-4a061f9cd399/download/nam-ndvi-subnat-5ytd.csv",
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| 51 |
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"tag_names": "climate-weather,environment"
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| 52 |
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},
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| 53 |
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"year_max": 2026,
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| 54 |
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"year_min": 2022
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| 55 |
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}
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