Add ML-ready official indicator dataset
Browse files- README.md +146 -0
- data/train-00000-of-00001.parquet +3 -0
- metadata/source_snapshot.json +77 -0
README.md
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---
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license: odbl
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language:
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- en
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task_categories:
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- tabular-classification
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- tabular-regression
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multilinguality: monolingual
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size_categories:
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- n<1K
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tags:
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- tabular
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- xlsx
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- africa
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- morocco
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- official-statistics
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- open-data
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pretty_name: "Pluie journalière du barrage Y.B. TACHFINE (1967-2024) | Africa (Morocco official open data)"
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---
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# Pluie journalière du barrage Y.B. TACHFINE (1967-2024) | Africa (Morocco official open data)
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40 rows - 1 Africa country - not-applicable - Repackaged by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)
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## TL;DR
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This dataset packages one official `XLSX` resource from **Morocco** 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:** [Pluie journalière du barrage Y.B. TACHFINE (1967-2024)](https://data.gov.ma/data/dataset/pluie-journaliere-du-barrage-y-b-tachfine-1967-2024)
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- **Publisher:** Agence du Bassin Hydraulique de Souss Massa
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- **Resource:** [Pj.Barrage Y.B.TACHFINE.78900 _ B.Y.T.TACHFINE-1975.xlsx](https://data.gov.ma/data/fr/dataset/16a867e2-1b7f-4cd8-9322-24a11cbf7ddb/resource/75c1a422-b397-4cfb-ae08-21e16c3a7465/download/pj.barrage-y.b.tachfine.78900-_-b.y.t.tachfine-1975.xlsx)
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- **Format:** `XLSX`
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- **License:** [Open Data Commons Open Database License](https://opendatacommons.org/licenses/odbl/)
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- **Packaging mode:** `tabular_resource`
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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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| `MAR` | 40 | n/a | n/a | `Morocco` |
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## Indicators or Resource Contents
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- This source file is packaged as a normalized tabular resource.
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## Schema
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| Column | Type | Description | Example |
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|--------|------|-------------|---------|
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| `source_record_id` | `string` | Stable row identifier for tabular resources. | `75c1a422-b397-4cfb-ae08-21e16c3a7465:sheet1:0` |
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| `country_iso3` | `string` | ISO3 country code. | `MAR` |
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| `country_name` | `string` | Country name. | `Morocco` |
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| `source_sheet` | `string` | Workbook sheet name, when the source is a spreadsheet. | `Sheet1` |
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| `column_1` | `float64` | Source column. | `` |
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| `jour` | `string` | Source column. | `1` |
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| `septembre` | `float64` | Source column. | `0.0` |
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| `octobre` | `float64` | Source column. | `0.0` |
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| `novembre` | `string` | Source column. | `0` |
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| `decembre` | `float64` | Source column. | `0.0` |
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| `janvier` | `float64` | Source column. | `0.0` |
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| `fevrier` | `float64` | Source column. | `10.8` |
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| `mars` | `float64` | Source column. | `0.0` |
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| `avril` | `float64` | Source column. | `0.0` |
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| `mai` | `float64` | Source column. | `0.0` |
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| `juin` | `float64` | Source column. | `0.0` |
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| `juillet` | `float64` | Source column. | `0.0` |
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| `aout` | `float64` | Source column. | `0.0` |
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| `source_provider` | `string` | Publishing organization. | `Agence du Bassin Hydraulique de Souss Massa` |
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| `source_dataset` | `string` | Source package title. | `Pluie journalière du barrage Y.B. TACHFINE (1967-2024)` |
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| `source_resource` | `string` | Source resource title. | `Pj.Barrage Y.B.TACHFINE.78900 _ B.Y.T.TACHFINE-1975.xlsx` |
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| `source_package_id` | `string` | CKAN package UUID. | `16a867e2-1b7f-4cd8-9322-24a11cbf7ddb` |
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| `source_resource_id` | `string` | CKAN resource UUID. | `75c1a422-b397-4cfb-ae08-21e16c3a7465` |
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| `source_url` | `string` | Original source resource URL. | `https://data.gov.ma/data/fr/dataset/16a867e2-1b7f-4cd8-9322-24a11cbf7ddb` |
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| `license_id` | `string` | Source license identifier. | `odc-odbl` |
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| `retrieved_at` | `string` | UTC retrieval timestamp. | `2026-07-16T21:31:48Z` |
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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-morocco-pluie-journaliere-du-barrage-y-b-tachfine-1967-2024-82068f67")
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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"] == "MAR"]
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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_morocco_pluie_journaliere_du_barrage_y_b_tachfine_1967_2024_82068f67_2026,
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title = {Pluie journalière du barrage Y.B. TACHFINE (1967-2024) | Africa (Morocco official open data)},
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author = {Agence du Bassin Hydraulique de Souss Massa},
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year = {2026},
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url = {https://data.gov.ma/data/dataset/pluie-journaliere-du-barrage-y-b-tachfine-1967-2024},
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publisher = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
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howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-morocco-pluie-journaliere-du-barrage-y-b-tachfine-1967-2024-82068f67}}
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}
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```
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## License
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Released under [Open Data Commons Open Database License](https://opendatacommons.org/licenses/odbl/).
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Original data (c) Agence du Bassin Hydraulique de Souss Massa. 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 2026-07-16 via the Electric Sheep pipeline. Source URL:
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https://data.gov.ma/data/fr/dataset/16a867e2-1b7f-4cd8-9322-24a11cbf7ddb/resource/75c1a422-b397-4cfb-ae08-21e16c3a7465/download/pj.barrage-y.b.tachfine.78900-_-b.y.t.tachfine-1975.xlsx
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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:d438c03f1be9585242fa8daaf1341b2c7997927e8813416ac27a641448a4e37e
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size 18036
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metadata/source_snapshot.json
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{
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"columns": [
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"source_record_id",
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| 4 |
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"country_iso3",
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| 5 |
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"country_name",
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| 6 |
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"source_sheet",
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| 7 |
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"column_1",
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"jour",
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"septembre",
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"octobre",
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"novembre",
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"decembre",
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"janvier",
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"fevrier",
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"mars",
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"avril",
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"mai",
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"juin",
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"juillet",
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"aout",
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"source_provider",
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| 22 |
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"source_dataset",
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"source_resource",
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"source_package_id",
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| 25 |
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"source_resource_id",
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| 26 |
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"source_url",
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| 27 |
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"license_id",
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| 28 |
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"retrieved_at"
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],
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"generated_at": "2026-07-16T21:39:02Z",
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"indicator_count": 0,
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"mode": "tabular_resource",
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| 33 |
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"repo_id": "electricsheepafrica/africa-morocco-pluie-journaliere-du-barrage-y-b-tachfine-1967-2024-82068f67",
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| 34 |
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"rows": 40,
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| 35 |
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"source": {
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| 36 |
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"api_base_url": "https://data.gov.ma/data",
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| 37 |
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"country_iso3": "MAR",
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| 38 |
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"country_name": "Morocco",
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| 39 |
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"group_names": "agriculture",
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| 40 |
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"license_id": "odc-odbl",
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| 41 |
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"license_title": "Open Data Commons Open Database License (ODbL)",
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| 42 |
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"license_url": "https://opendefinition.org/licenses/odc-odbl",
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| 43 |
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"organization_id": "a9444d6e-007c-4004-b9c5-7982e3a4f60f",
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| 44 |
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"organization_name": "agence-du-bassin-hydraulique-de-souss-massa",
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| 45 |
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"organization_title": "Agence du Bassin Hydraulique de Souss Massa",
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| 46 |
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"package_author": "",
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| 47 |
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"package_id": "16a867e2-1b7f-4cd8-9322-24a11cbf7ddb",
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| 48 |
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"package_maintainer": "",
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| 49 |
+
"package_metadata_created": "2025-04-17T10:35:10.714802",
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| 50 |
+
"package_metadata_modified": "2025-04-17T14:26:01.594827",
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| 51 |
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"package_name": "pluie-journaliere-du-barrage-y-b-tachfine-1967-2024",
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| 52 |
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"package_notes": "Ce fichier présente la pluie journalière de la station B.Y.T. TACHFINE pour la période de 1967 à 2024",
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"package_page_url": "https://data.gov.ma/data/dataset/pluie-journaliere-du-barrage-y-b-tachfine-1967-2024",
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| 54 |
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"package_private": "False",
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| 55 |
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"package_state": "active",
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| 56 |
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"package_title": "Pluie journalière du barrage Y.B. TACHFINE (1967-2024)",
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| 57 |
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"package_version": "",
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| 58 |
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"portal_url": "https://data.gov.ma/data",
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| 59 |
+
"resource_created": "2025-04-17T10:36:16.038779",
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| 60 |
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"resource_datastore_active": "False",
|
| 61 |
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"resource_description": "",
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| 62 |
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"resource_format": "XLSX",
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| 63 |
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"resource_hash": "",
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| 64 |
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"resource_id": "75c1a422-b397-4cfb-ae08-21e16c3a7465",
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| 65 |
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"resource_last_modified": "2025-04-17T10:36:16.000405",
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| 66 |
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"resource_mimetype": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
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| 67 |
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"resource_name": "Pj.Barrage Y.B.TACHFINE.78900 _ B.Y.T.TACHFINE-1975.xlsx",
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| 68 |
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"resource_position": "9",
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| 69 |
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"resource_size": "7391",
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| 70 |
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"resource_state": "active",
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| 71 |
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"resource_url": "https://data.gov.ma/data/fr/dataset/16a867e2-1b7f-4cd8-9322-24a11cbf7ddb/resource/75c1a422-b397-4cfb-ae08-21e16c3a7465/download/pj.barrage-y.b.tachfine.78900-_-b.y.t.tachfine-1975.xlsx",
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| 72 |
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"retrieved_at": "2026-07-16T17:56:59Z",
|
| 73 |
+
"tag_names": "journalière; pluie; station; tachfine"
|
| 74 |
+
},
|
| 75 |
+
"year_max": null,
|
| 76 |
+
"year_min": null
|
| 77 |
+
}
|