Add documentation for datasets and maintainers guide

README.md

@@ -1,6 +1,9 @@
 # 🌞 Open Source Solar Forecasting Project – Volunteers Welcome! 🌞
+
 <!-- ALL-CONTRIBUTORS-BADGE:START - Do not remove or modify this section -->
+
 [![All Contributors](https://img.shields.io/badge/all_contributors-5-orange.svg?style=flat-square)](#contributors-)
+
 <!-- ALL-CONTRIBUTORS-BADGE:END -->
 
 [![ease of contribution: easy](https://img.shields.io/badge/ease%20of%20contribution:%20easy-32bd50)](https://github.com/openclimatefix/ocf-meta-repo?tab=readme-ov-file#how-easy-is-it-to-get-involved)
@@ -10,6 +13,7 @@
 We're building an open-source solar forecasting pipeline to integrate with the OCF's [PVNet](https://github.com/openclimatefix/pvnet) using publicly available data to predict solar generation at the national level, starting with the UK. Eventually, we aim to achieve **global coverage**! 🌍
 
 Tasks include:
+
 - Identifying gridded Numerical Weather Prediction (NWP) datasets.
 - Downloading and transforming NWP data into the preferred Zarr format.
 - Acquiring solar generation target data via APIs (e.g., PVlive's solar generation and capacity API).
@@ -18,8 +22,8 @@ Tasks include:
 
 We will begin in the UK to benchmark against OCF results and expand to other countries as the project progresses. 😄
 
-
 ### Basic Usage Examples
+
 ```bash
 # Archive Met Office UK data for a specific day in zarr format to Hugging Face
 open-data-pvnet metoffice archive --year 2023 --month 12 --day 1 --region uk
@@ -29,11 +33,12 @@ open-data-pvnet metoffice load --year 2023 --month 1 --day 16 --region uk
 
 ```
 
-For detailed usage instructions and examples, see our [Getting Started Guide](getting_started.md#command-line-interface-cli).
+For detailed usage instructions and examples, see our [Getting Started Guide](docs/getting_started.md#command-line-interface-cli).
 
 ## Volunteer Skills/Roles Needed
 
 We are looking for volunteers with the following skills:
+
 - **Data Engineers**: For data acquisition, curation,transformation, and storage.
 - **Machine Learning Enthusiasts**: To experiment, train, and evaluate models.
 - **Software Developers**: Especially those with Python expertise.
@@ -44,7 +49,7 @@ We are looking for volunteers with the following skills:
 
 ## Getting Started
 
-Ready to dive in? Check out our [Getting Started Guide](getting_started.md) for an introduction to the key concepts and how you can contribute effectively.
+Ready to dive in? Check out our [Getting Started Guide](docs/getting_started.md) for an introduction to the key concepts and how you can contribute effectively.
 
 ---
 
@@ -62,6 +67,7 @@ If you're passionate about **renewable energy, open-source collaboration, and su
 ---
 
 ## GitHub Project
+
 Explore our project board to track progress and tasks: [Open Climate Fix Solar Project Board](https://github.com/orgs/openclimatefix/projects/36)
 
 ---
@@ -92,8 +98,7 @@ Thanks goes to these wonderful people ([emoji key](https://allcontributors.org/d
 
 This project follows the [all-contributors](https://github.com/all-contributors/all-contributors) specification. Contributions of any kind welcome!
 
-
-*Part of the [Open Climate Fix](https://github.com/orgs/openclimatefix/people) community.*
+_Part of the [Open Climate Fix](https://github.com/orgs/openclimatefix/people) community._
 
 [![OCF Logo](https://cdn.prod.website-files.com/62d92550f6774db58d441cca/6324a2038936ecda71599a8b_OCF_Logo_black_trans.png)](https://openclimatefix.org)
 

docs/datasets.md

@@ -0,0 +1,21 @@
+# Datasets
+
+Here are links to datasets that might be useful:
+
+- [ARCO-ERA5 Dataset](https://github.com/google-research/arco-era5)
+- [DWD Open Data - Numerical Weather Prediction (NWP)](https://opendata.dwd.de/weather/nwp/)
+- [UFS Replay Data](https://psl.noaa.gov/data/ufs_replay/)
+- MetOffice 2-year rolling archive [Global](https://registry.opendata.aws/met-office-global-deterministic/) and [UK](https://registry.opendata.aws/met-office-uk-deterministic/)
+- [MeteoFrance Open Data](https://meteo.data.gouv.fr)
+- [NOAA Global Weather Station Data (hourly)](https://www.ncei.noaa.gov/products/global-historical-climatology-network-hourly)
+
+
+## Citations
+
+- **Met Office UK Deterministic (UKV)2km Dataset**
+  Met Office UK Deterministic (UKV)2km on a 2-year rolling archive was accessed on `DATE` from [https://registry.opendata.aws/met-office-uk-deterministic](https://registry.opendata.aws/met-office-uk-deterministic).
+
+## License
+
+- **Met Office Datasets**
+  British Crown copyright 2022-2024, the Met Office, is licensed under [CC BY-SA](https://creativecommons.org/licenses/by-sa/4.0/).