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+---
+# For reference on dataset card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/datasetcard.md?plain=1
+# Doc / guide: https://huggingface.co/docs/hub/datasets-cards
+{}
+---
+
+# Dataset Card for ERA5 climate dataset
+
+
+<!-- Provide a quick summary of the dataset. -->
+
+This dataset is for reproducing [ClimODE](https://github.com/Aalto-QuML/ClimODE) results, which aims to model the climate efficiently with physics-inspired neural networks. It contains a 2004-2018 subset of the [weatherbench](https://dataserv.ub.tum.de/index.php/s/m1524895) data at 5.625deg granularity. 
+
+Made with :heart: from by students at [USI](https://www.usi.ch/it).
+
+## Dataset Details
+
+### Dataset Sources [optional]
+
+<!-- Provide the basic links for the dataset. -->
+
+- **Repository:** https://dataserv.ub.tum.de/index.php/s/m1524895
+- **Paper** https://cds.climate.copernicus.eu/datasets/reanalysis-era5-single-levels
+
+## Uses
+
+Climate modeling and prediction
+
+### Direct Use
+
+<!-- This section describes suitable use cases for the dataset. -->
+
+This dataset is used as a supporting resource in [Climode-reproducibility](https://github.com/tornikeo/climode-reproducibility) repository, which aims to reproduce and validate the original paper authors' claims. 
+
+## Dataset Structure
+
+<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
+
+The dataset is a set of `.nc` files. These can be read as follows:
+
+```py
+import xarray as xr
+
+# Download the dataset from TornikeO/era5-5.625deg
+
+data = xr.open_mfdataset(
+    'era5-5.625deg/geopotential_500/*.nc', 
+    combine='by_coords')
+data = data.resample(time="6H").nearest(tolerance="1H") # Setting data to be 6-hour cycles
+data_global = data.sel(time=slice('2006','2018')).load() # select subset only
+```
+
+## Dataset Creation
+
+
+### Source Data
+
+<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
+
+This dataset was generated by downloading [WeatherBench](https://dataserv.ub.tum.de/index.php/s/m1524895) data
+#### Data Collection and Processing
+
+<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
+
+Dataset was downloaded and processed using python, with a simple , using [automated python download script](https://github.com/tornikeo/climode-reproducibility/blob/main/scripts/download.py).
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Dataset Card Authors [optional]
+
+The Sole author is [Tornike Onoprishvili](https://github.com/tornikeo/).
+
+## Dataset Card Contact
+
+[More Information Needed]