Replication Data for the manuscript 'Using an ensemble of artificial neural networks to convert snow depth to snow water equivalent over Canada' submitted to HESS
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This dataset contains most of the snow measurement data and meteorological data available across Canada and needed to replicate the study by Ntokas et al. (2020) and submitted to HESS. Important notes: Data from the Ministère du Développement durable, de l’Environnement et des Parcs (MELCC) of the province of Québec is freely available for university research, but to have access to it you will need to fill out a short form explaining the purpose of your research. This form presents the terms of use of its data and it also allows the MELCC to gather statistics on the usage of its data. The entire dataset includes the data from all governmental partners, BUT excludes that from private companies, as we do not have permission to share it. It is already formatted to facilitate its use with our codes. The later are also available upon req' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Snow, hydrology, Machine learning, neural networks"]} <|eot_id|>
 Here is the Description of a dataset. Description:'This dataset contains most of the snow measurement data and meteorological data available across Canada and needed to replicate the study by Ntokas et al. (2020) and submitted to HESS. Important notes: Data from the Ministère du Développement durable, de l’Environnement et des Parcs (MELCC) of the province of Québec is freely available for university research, but to have access to it you will need to fill out a short form explaining the purpose of your research. This form presents the terms of use of its data and it also allows the MELCC to gather statistics on the usage of its data. The entire dataset includes the data from all governmental partners, BUT excludes that from private companies, as we do not have permission to share it. It is already formatted to facilitate its use with our codes. The later are also available upon req' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
This dataset contains most of the snow measurement data and meteorological data available across Canada and needed to replicate the study by Ntokas et al. (2020) and submitted to HESS. Important notes: Data from the Ministère du Développement durable, de l’Environnement et des Parcs (MELCC) of the province of Québec is freely available for university research, but to have access to it you will need to fill out a short form explaining the purpose of your research. This form presents the terms of use of its data and it also allows the MELCC to gather statistics on the usage of its data. The entire dataset includes the data from all governmental partners, BUT excludes that from private companies, as we do not have permission to share it. It is already formatted to facilitate its use with our codes. The later are also available upon req
Snow, hydrology, Machine learning, neural networks