{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Data Science Tech Brief By HackerNoon","title":"How We Built a Per-Plant CO2 Dataset for 4,551 Power Stations Worldwide","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/5a97a0ba\"></iframe>","width":"100%","height":180,"duration":298,"description":"\n        This story was originally published on HackerNoon at: https://hackernoon.com/how-we-built-a-per-plant-co2-dataset-for-4551-power-stations-worldwide.\n             An open dataset of 4,551 power stations: measured + modelled CO2, fuel, owner, capacity and climate zone. How we built it in Python, and the honest limits. \n            Check more stories related to data-science at: https://hackernoon.com/c/data-science.\n            You can also check exclusive content about #data-engineering, #python, #global-energy-monitor, #greenhouse-gas-data, #carbon-accounting, #climate-analytics, #energy-infrastructure, #python-etl,  and more.\n            \n            \n            This story was written by: @dmytroah. Learn more about this writer by checking @dmytroah's about page,\n            and for more stories, please visit hackernoon.com.\n            \n                \n                \n                The authors built and openly published a dataset covering 4,551 power stations worldwide, combining emissions, ownership, capacity, fuel type, and climate-zone data into a single schema. The project's central finding is that only about 15% of plant-level emissions data comes from direct measurements, while the remaining 85% relies on modelled estimates, making provenance and transparency critical for anyone working with emissions datasets.\n        \n        ","thumbnail_url":"https://img.transistorcdn.com/8VxAgS1Ll3FJEERcAdhFdqqXJMnE7OfD2RUvrjauLt0/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9zaG93/LzQxMjY4LzE2ODM1/ODI1ODUtYXJ0d29y/ay5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}