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Unknown - 55 B - MD5: ecc0a18087f14975209ff4a7b0836927
Unknown - 400.6 KB - MD5: 849af0e1fbd4fdaaadfd614e066cc013
JSON - 53.3 KB - MD5: 695c901c4aa940ca81e447d3ac3f8adf
Unknown - 15.4 MB - MD5: cd8a808f43d27043e1b939b2ded44d29
Unknown - 383.1 MB - MD5: 21b3ab1502aea11dad469c2dd78acc03
Unknown - 42.3 KB - MD5: 1d04acd99ce35c693316f5b6906da857
Unknown - 6.9 KB - MD5: b9bbd6a4f088d53aaa3d91079b4b27c5
This file contains the same data as the file "lippe_brickmakers_database_with_geodata_sample.tab" but converted to triples in nt (N-triples) format.
Tabular Data - 41.7 KB - 41 Variables, 102 Observations - UNF:6:plvs3fvOMdz9WWMB6ly8EQ==
Sample taken from the file "lippe-brickmakers-database" (https://datasets.iisg.amsterdam/file.xhtml?fileId=14419&version=5.2) enriched with geodata. 107 rows, 40 columns.
Python Source Code - 5.9 KB - MD5: 36925f457783cede8a1fc3505672c885
Code
Python script that transforms the csv file to .nt triples.
Plain Text - 354.3 KB - MD5: 89b51691cc387acd7f8f1728626694b8
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