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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
Apr 8, 2024 - Lippe brick-makers project
Lucassen, Jan; Lourens, Piet, 2024, "Lippe brick-makers database: sample with geodata", https://hdl.handle.net/10622/MPOWES, IISH Data Collection, V3, UNF:6:plvs3fvOMdz9WWMB6ly8EQ== [fileUNF]
This dataset is part of the Lippe brickmakers project. This is a small sample taken from the Lippe brickmakers database (https://hdl.handle.net/10622/ZKS9BA). This sample was selected with the purpose to experiment with enriching place names with geo-data and transform them to li...
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.
Mar 15, 2024 - GLOBALISE
GLOBALISE project, 2024, "VOC transcriptions v2 - GLOBALISE", https://hdl.handle.net/10622/LVXSBW, IISH Data Collection, V1
This is a collection of machine-generated transcriptions of the ‘Overgekomen brieven en papieren’ of the Dutch East India Company (VOC). They were made by GLOBALISE (https://globalise.huygens.knaw.nl/), a project based at the Huygens Institute (KNAW Humanities Cluster) in the Net...
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