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[SAMPLE] Biodiversity Footprint Data | Nature ESG Data | 14000+ Global Companies | 7 Years ...

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https://marketplace.databricks.com/details/95bafc8f-f7ec-4472-8c50-2a6b8d50fa55/GIST_SAMPLE-Biodiversity-Footprint-Data-Nature-ESG-Data-14000+-Global-Companies-7-Years-
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GIST offers ESG Data on companies’ biodiversity footprint using metrics such as Potentially Disappeared Fraction (PDF) of Species and offers a suite of science-based biodiversity and nature data products that provide an accurate and comprehensive picture of companies’ impacts and dependencies on nature. GIST Impact uses a drivers-outcomes-impacts pathway to calculate the biodiversity footprint of a company as a result of 8 direct and indirect drivers: GHG emissions, Air Pollution (NOx and SOx), Water consumption, Water & land pollution (Total Nitrogen and Total Phosphorous), Land use change and Waste generation. Salient features of GIST Impact’s biodiversity ESG data: 1. Based on actual data: The impacts are calculated from actual company-disclosed data and can be traced back to the source. In the absence of disclosed data, estimated data from GIST Impact’s Machine Learning models are used. 2. Geographic apportionment: The impacts are geographically apported based on the company’s operational locations. 3. Output metric: The metric for the biodiversity dataset is the global Potentially Disappeared Fraction (PDF) of species, also referred to as “extinction risk”. To help visualize the scope of impacts, GIST Impact also provides the outputs in tCO2e equivalent numbers of PDF. 4. Impacts from waste generation The biodiversity footprint data can be used to: 1. Deep dive into a company’s impacts on species – a critical pillar of biodiversity 2. Understand how specific business activities increase the risk of driving species to extinction both directly (e.g. via land use change) and indirectly (e.g. via GHG emissions) 3. Evaluate regional impacts using geographically specific data 4. Translate that regional impact into a global perspective, revealing the globally disappeared fraction of species, providing an accurate and nuanced perspective on extinction risk
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