9,801 to 9,810 of 10,013 Results
Jun 21, 2022 -
Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Tabular Data - 75.2 KB - 8 Variables, 18 Observations - UNF:6:A2OGVrJLftquxxpYcbsnRg==
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Jun 21, 2022 -
Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Tabular Data - 163.1 KB - 8 Variables, 39 Observations - UNF:6:VVrs6jWUFW7J3C7Wu5Uflg==
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Jun 21, 2022 -
Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Tabular Data - 116.7 KB - 8 Variables, 28 Observations - UNF:6:yuJS2AQd0ZaBsrEGEnjB7g==
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Jun 21, 2022 -
Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Plain Text - 43.7 KB -
MD5: 642353df65727ff77b01f3a80f2e9612
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Apr 4, 2022
Tremel, Tina; Kögel, Jochen; Jauernig, Florian; Meier, Sebastian; Thom, Dennis; Becker, Franziska; Müller, Christoph; Koch, Steffen, 2022, "Supplemental Material for "VITALflow: Visual Interactive Traffic Analysis with NetFlow"", https://doi.org/10.18419/DARUS-2779, DaRUS, V1
This data set provides supplemental material for the publication "VITALflow: Visual Interactive Traffic Analysis with NetFlow", namely a video illustrating how the system is used and additional information on the expert evaluation that has been performed. The VITALflow system is a Visual Analytics tool for investigating NetFlow/IPFIX data for the p... |
Apr 4, 2022 -
Supplemental Material for "VITALflow: Visual Interactive Traffic Analysis with NetFlow"
Adobe PDF - 463.3 KB -
MD5: b602a3926336831ea056b48b441c432f
A description of the evaluation of VITALflow that has been performed with network experts along with the results of this evaluation. |
Apr 4, 2022 -
Supplemental Material for "VITALflow: Visual Interactive Traffic Analysis with NetFlow"
MPEG-4 Video - 63.7 MB -
MD5: 9d608863d356f6f55c69ad06a4070cf4
A video illustrating how to use VITALflow by means of a case study. |
Mar 16, 2022
Weltecke, Dorothea; Koch, Steffen; Barczok, Ralph; Franke, Max; Vest, Bernd Andreas, 2022, "Data Collected During the Digital Humanities Project 'Dhimmis & Muslims - Analysing Multireligious Spaces in the Medieval Muslim World'", https://doi.org/10.18419/DARUS-2318, DaRUS, V1
This repository contains historical data collected in the digital humanities project Dhimmis & Muslims – Analysing Multireligious Spaces in the Medieval Muslim World. The project was funded by the VolkswagenFoundation within the scope of the Mixed Methods initiative. The project was a collaboration between the Institute for Medieval History II of t... |
Mar 16, 2022 -
Data Collected During the Digital Humanities Project 'Dhimmis & Muslims - Analysing Multireligious Spaces in the Medieval Muslim World'
JSON - 10.2 MB -
MD5: e9aecea505dae6d732e8cdd03ccf56b1
Database contents in JSON format. Each table is stored as a key-value pair, where the key is the database name, and the value is an array of table records. Each table record is itself an object of key-value pairs, where the keys are the table columns, and the values are the corresponding values in the record. |
Mar 16, 2022 -
Data Collected During the Digital Humanities Project 'Dhimmis & Muslims - Analysing Multireligious Spaces in the Medieval Muslim World'
application/sql - 2.8 MB -
MD5: 80c80a5d656856bf0c1b016bd988f2df
A database dump of the PostgreSQL database, both structure and data. |