Linking pages
- Greta Thunberg ha ragione, ma sbaglia bersaglio | Francesco Costa https://www.francescocosta.net/2019/03/14/greta-thunberg/ 29 comments
- Air Pollution: Keep Calm and Pick the Low Hanging Fruit | by Renjith Thomas | Medium https://medium.com/@renjith/air-pollution-keep-calm-and-pick-the-low-hanging-fruit-614a86ef5bf3 28 comments
- GitHub - cipher387/osint_stuff_tool_collection: A collection of several hundred online tools for OSINT https://github.com/cipher387/osint_stuff_tool_collection 27 comments
- Festive Fireworks Create Harmful Pall Of Pollution https://www.forbes.com/sites/grrlscientist/2019/12/31/festive-fireworks-create-harmful-pall-of-pollution/ 11 comments
- A Severe Drought Pushes the Amazon Rainforest to the Brink - The New York Times https://www.nytimes.com/2023/10/17/climate/amazon-rainforest-drought-climate-change.html?unlocked_article_code=U9wLVvfRMgJm98ogXyUnY6sVsbyR3v6kAwPq-zDeXsoetouX-ZNbQuc9jzd3wy2iuhPdhUW1255bYTZ2UUMsgyGKpeiAVWZwKmlqGU6kBOEuOFK50_L4JTkiS_ZkgN4wLPK1Z9n2wMr-EFXGPKW7n_1RY7FyNHXFnxLtCGDPlfSSHpJOv5QIDDt95g4bniVOoXik4mzD_YeP8Kpx4PbphsoteW5adl9kjmk0hzZd69FiSDLrfgIxXxLbqQEJ8vFnD2mxGGQAHlmQNH8QN9Ed9hF9zn4Vvi6TQ1axCWXm4QmbGi8WLbL39HPdsdp1HH5HMts5LssGoScvTRvmqwfJ8Uv2-JE_jhXfJWM2Fs-ppxPF0w 9 comments
- The COVID-19 Data Landscape. Curated and contextualized data sources… | by Craig Danton | Medium https://medium.com/@craigdanton/the-covid-19-data-landscape-59131a47b947 2 comments
- Delhi Air Quality Drops On Diwali Morning, Most Polluted City, Shows Index https://www.ndtv.com/delhi-news/delhi-air-quality-drops-on-diwali-morning-2nd-most-polluted-shows-index-3458326/amp/1 1 comment
- Recommendations for Engineers - Pawel Cislo https://pawelcislo.com/recommendations/ 0 comments
- Delhi Air Quality Drops On Diwali Morning, Most Polluted City, Shows Index https://www.ndtv.com/delhi-news/delhi-air-quality-drops-on-diwali-morning-2nd-most-polluted-shows-index-3458326 0 comments
- GitHub - thedoubler/awesome-maps-data: Browse Awesome Maps + Data, where vast amounts of information are beautifully mapped and visualized! https://github.com/thedoubler/awesome-maps-data 0 comments
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