371 to 380 of 3,056 Results
Oct 26, 2024 - Akademisches Kunstmuseum
Günzel, Adriana, 2024, "Mycenaean Kernos in the Academic Art Museum Bonn (Inv. 2726)", https://doi.org/10.60507/FK2/UEIBDL, bonndata, V2
The kernos, who allegedly was found in the surroundigs of Troy, is dated between 1190 and 1050 BC. The vessel is composed of vessels with narrow spouts, which are connected by an uplifted strap handle. The surface is painted with circumferential lines, short strokes, angles, croo... |
Oct 26, 2024 -
Mycenaean Kernos in the Academic Art Museum Bonn (Inv. 2726)
Plain Text - 2.8 KB -
MD5: 8929164e53c14a27436e2a15ad613646
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Oct 26, 2024 -
Mycenaean Kernos in the Academic Art Museum Bonn (Inv. 2726)
ZIP Archive - 1.4 GB -
MD5: 5bce493b198219fecd5d29fc230d1640
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ZIP Archive - 3.2 GB -
MD5: cc3ee7fab149635a268eaf25ad9793f2
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Oct 22, 2024 -
Mycenaean Kernos in the Academic Art Museum Bonn (Inv. 2726)
ZIP Archive - 215.0 MB -
MD5: 925eb59911217a516ef2ca4195806e0f
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Oct 22, 2024
Vogel, Daniel; Viola, Felix; Kreimeyer, Nicholas Malte, 2024, "Uni Bonn Probe Request Data Set", https://doi.org/10.60507/FK2/TXOWTX, bonndata, V1
A data set of probe requests captured from various smartphones with and without MAC address randomization enabled |
Oct 22, 2024 -
Uni Bonn Probe Request Data Set
Markdown Text - 3.9 KB -
MD5: a227d11ea304355a358010f512a53494
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Oct 22, 2024 -
Uni Bonn Probe Request Data Set
ZIP Archive - 152.3 KB -
MD5: 043c16343d760b280c2c1e2d95040609
Dump of PCAP files and their metadata from 21.10.24.
UUIDs of devices might change in the future but in each snapshot of the dataset they are consistent. |
ZIP Archive - 1.1 GB -
MD5: 14c6b0f6cee3293c27be4add5b105092
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Oct 21, 2024
Shams Eddin, Mohamad Hakam; Gall, Juergen, 2024, "Identifying spatio-temporal drivers of extreme events [data set]", https://doi.org/10.60507/FK2/RD9E33, bonndata, V1
This data set allows to systematically evaluate approaches for the task of identifying extreme events in water cycle components by developing deep neural networks that detect anomalies and drivers of extremes in simulated data. |