I’m looking for a dataset similar to the Amphibians dataset from UCI for an undergraduate data science project. It should be a classification problem, i.e. presence/absence of a species dependent on habitat characteristics such as temperature, type of vegetation, size of water reservoir, amount of rainfall, distance to roads/civilisation, etc.
It should include
>15 numerical and categorical features >300 observations temporal and/or spatial data if possible, so I can play around with some heat maps or time series analysis.
Any hints are highly appreciated as I’m a beginner and I’ve been scrolling my eyes out on kaggle etc. all weekend.
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