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README.md

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+---
+license: apache-2.0
+task_categories:
+  - time-series-classification
+  - feature-extraction
+language:
+  - fr
+tags:
+  - groundwater
+  - piezometry
+  - time-series
+  - embedding
+  - hydrology
+  - ERA5
+  - BRGM
+size_categories:
+  - 1M<n<10M
+---
+
+# Piezometric Embedding Benchmark Dataset
+
+Daily groundwater level time series from ~4200 French monitoring stations,
+with ERA5 climate covariates and hydrogeological labels.
+
+## Dataset Description
+
+This dataset supports the comparative evaluation of time series embedding
+methods for piezometric groundwater stations. It contains:
+
+- **Station metadata** (4210 stations): coordinates, hydrogeological labels (milieu_eh),
+  department, altitude, and derived statistics
+- **Univariate daily series** (2000 stations, ~10.6M rows): groundwater level (niveau_nappe_eau)
+- **Multivariate daily series** (2000 stations, ~10.6M rows): groundwater level +
+  3 ERA5 covariates (temperature_2m, total_precipitation, potential_evaporation)
+
+## Source
+
+- Groundwater data: [BRGM HubEau API](https://hubeau.eaufrance.fr/page/api-piezometrie)
+- Climate data: [ERA5 reanalysis](https://doi.org/10.1002/qj.3803) (Hersbach et al., 2020)
+- Labels: [BDLISA](https://bdlisa.eaufrance.fr/) hydrogeological environments
+
+## Usage
+
+
+
+## Associated Repository
+
+Full benchmark code, trained models, and analysis notebooks:
+https://scm.univ-tours.fr/ringuet/aida_embedding_benchmark
+
+## Citation
+
+