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You could generate such a dataset using Python. A simple approach would be to generate a set of (x, y) coordinates, partition the set, then assign a distinct value for the z coordinate for each partition. An example with 100 points divided into 5 linearly separable partitions: from mpl_toolkits.mplot3d import Axes3D import matplotlib.pyplot as plt import ...


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There is the Category:Bald men on Wikimedia Commons, right now with 525 images.


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This is not an answer. If you visit https://sdmdataaccess.sc.egov.usda.gov/QueryHelp.aspx and download the "Table Column Descriptions Report (741K)" PDF, you will get a list of all tables (and column names) for your data. You can then go to https://sdmdataaccess.sc.egov.usda.gov/Query.aspx and make queries like SELECT * FROM chaashto. You will have to ...


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For anyone else needing this information, it looks like Gaurav Sood compiled the relevant data and provided code to create the tables that link: DMA to county DMA to zip


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