![Swiss Medical Weekly - Assessing the impact of non-pharmaceutical interventions on SARS-CoV-2 transmission in Switzerland Swiss Medical Weekly - Assessing the impact of non-pharmaceutical interventions on SARS-CoV-2 transmission in Switzerland](https://smw.ch/rsrc/ji?tx_swajournal_image%5Baction%5D=index&tx_swajournal_image%5Bcontroller%5D=Image&tx_swajournal_image%5Bheight%5D=0&tx_swajournal_image%5Bidentifier%5D=smw.2020.20295&tx_swajournal_image%5Bjournal%5D=ezm_smw&tx_swajournal_image%5Blanguage%5D=en&tx_swajournal_image%5Bmode%5D=view&tx_swajournal_image%5Bresource%5D=http%3A%2F%2Fprodclient.emh02.snowflakehosting.ch%2Fapi%2Ffile%2Fproduction%2Fee%2Fee16f729c1dfb6c73dbf3e1a97fa54988e08ace8%2F20295_head.jpg&tx_swajournal_image%5Bscale%5D=ratio&tx_swajournal_image%5Btype%5D=article&tx_swajournal_image%5Bwidth%5D=1170)
Swiss Medical Weekly - Assessing the impact of non-pharmaceutical interventions on SARS-CoV-2 transmission in Switzerland
![Atmosphere | Free Full-Text | Accuracy of Simulated Diurnal Valley Winds in the Swiss Alps: Influence of Grid Resolution, Topography Filtering, and Land Surface Datasets | HTML Atmosphere | Free Full-Text | Accuracy of Simulated Diurnal Valley Winds in the Swiss Alps: Influence of Grid Resolution, Topography Filtering, and Land Surface Datasets | HTML](https://www.mdpi.com/atmosphere/atmosphere-09-00196/article_deploy/html/images/atmosphere-09-00196-g003.png)
Atmosphere | Free Full-Text | Accuracy of Simulated Diurnal Valley Winds in the Swiss Alps: Influence of Grid Resolution, Topography Filtering, and Land Surface Datasets | HTML
![The Swiss data cube, analysis ready data archive using earth observations of Switzerland | Scientific Data The Swiss data cube, analysis ready data archive using earth observations of Switzerland | Scientific Data](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs41597-021-01076-6/MediaObjects/41597_2021_1076_Fig1_HTML.png)
The Swiss data cube, analysis ready data archive using earth observations of Switzerland | Scientific Data
![Machine Learning for Biomedical Time Series Classification: From Shapelets to Deep Learning | SpringerLink Machine Learning for Biomedical Time Series Classification: From Shapelets to Deep Learning | SpringerLink](https://media.springernature.com/original/springer-static/image/chp%3A10.1007%2F978-1-0716-0826-5_2/MediaObjects/479517_3_En_2_Fig2_HTML.png)
Machine Learning for Biomedical Time Series Classification: From Shapelets to Deep Learning | SpringerLink
![Python Time Series: Darts' Swiss Knife for Multi-Method Forecasting | by Heiko Onnen | Towards Data Science Python Time Series: Darts' Swiss Knife for Multi-Method Forecasting | by Heiko Onnen | Towards Data Science](https://miro.medium.com/max/1138/1*Be6UlGhLOemTa2eD6DNedA.jpeg)
Python Time Series: Darts' Swiss Knife for Multi-Method Forecasting | by Heiko Onnen | Towards Data Science
Switzerland Consumer credit, billion currency units, November, 2021 - data, chart | TheGlobalEconomy.com
![HESS - Stream temperature and discharge evolution in Switzerland over the last 50 years: annual and seasonal behaviour HESS - Stream temperature and discharge evolution in Switzerland over the last 50 years: annual and seasonal behaviour](https://hess.copernicus.org/articles/24/115/2020/hess-24-115-2020-f02-web.png)
HESS - Stream temperature and discharge evolution in Switzerland over the last 50 years: annual and seasonal behaviour
![Getting started with giotto-time. A tutorial to start making forecasts… | by Francesco Palma | Towards Data Science Getting started with giotto-time. A tutorial to start making forecasts… | by Francesco Palma | Towards Data Science](https://miro.medium.com/max/1400/1*p22MZOrFs4NdesIA3pDjOA.png)