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Unknown - 434.3 MB - MD5: 9073a4c3a5e79d733aca72689a262168
Apr 11, 2024 - GLOBALISE
Nijman, Brecht, 2024, "GLOBALISE Geographical Indices of the RGP General Missives", https://hdl.handle.net/10622/75DURG, IISH Data Collection, V1, UNF:6:cFqs57joFthWFOBHbue99A== [fileUNF]
This dataset presents the geographical indices of the 14 volumes of the RGP editions of the Generale Missiven der V.O.C. (GM) (1960-2007) in a structured format. The RGP General Missiven are a published selection of the General Letters from the period 1610 to 1767. These were sum...
Adobe PDF - 107.5 KB - MD5: 52b314b0cc33195add1e34b4d7761ec3
Documentation
Plain Text - 271.9 KB - MD5: a2313d4906d12c2c3884b9ccdebee588
Tabular Data - 1.2 MB - 6 Variables, 8948 Observations - UNF:6:2LAsGcilHi6bb7Ixg+LVRg==
Data
Python Source Code - 9.0 KB - MD5: 59baf529751235b9e71af17fad399d7e
Code
Tabular Data - 1.2 MB - 6 Variables, 8978 Observations - UNF:6:1iExMYvub9VC/JGYJsZMHg==
Markdown Text - 6.8 KB - MD5: 7429a7c03b5c9fa3c58dff852e2112fa
Documentation
Apr 11, 2024 - GLOBALISE
Klut, Stefan; Koert, Rutger van; Maas, Martijn, 2024, "GLOBALISE Laypa Region Model - August 2023", https://hdl.handle.net/10622/DMAS2T, IISH Data Collection, V1
This is a Laypa region detection model that was created to detect and identify regions (such as page number, heading, paragraph, and marginalia) on the scans of the GLOBALISE VOC corpus. It was trained on Ground Truth that is also available in this Dataverse (GLOBALISE Ground Tru...
Unknown - 8.9 KB - MD5: f125e928160cd408b40b59522486abf6
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