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MS Word - 34.5 KB - MD5: 198f2c1f3a797a27f4b73d18a8c53949
MS Word - 14.5 KB - MD5: 710078e41044c63f53e0503b802d485f
Oct 31, 2024 - Institute of Literary Studies (ITI)
Labov, Jessie; Maróthy, Szilvia; Péter, Róbert, 2024, "Külföldi szerzők A Hétben és Nyugatban", https://hdl.handle.net/21.15109/ARP/ZLMTRV, ARP, V1
The collected data consists of the names of foreign language authors publishing in "A Hét" and "Nyugat" and the associated metadata (publication, volume, title, page number). Additional information about the authors is obtained using Linked Open Data (LOD). The goal of the data c...
Comma Separated Values - 117.5 KB - MD5: 74de0801cc259296b3558b51f911f236
Comma Separated Values - 42.8 KB - MD5: 25ffce8b59838d4cd40c18c730026045
PNG Image - 105.4 KB - MD5: 659dfcfba4f9cf6516c653a09fc860c5
This image illustrates the core data model developed in the nodegoat environment.
Plain Text - 3.4 KB - MD5: abaf0befdaca848225e8830049dff931
MS Excel Spreadsheet - 88.2 KB - MD5: acdf6eef3af0b24e29c03040120efd1f
MS Excel Spreadsheet - 470.6 KB - MD5: 5264e2564e6ecf10495c0acd11557a21
Az állomány a fotonegatívra készült tárgyfotók fájlszintű metaadatait tartalmazza.
MS Excel Spreadsheet - 388.8 KB - MD5: 235044af962aca71c05ac99c3eacd789
Az állomány a fotonegatívra készült terepi fotók fájlszintű metaadatait tartalmazza.
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