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bonndata is the institutional, cross-disciplinary research data repository for the publication of research data for all researchers at the University of Bonn.
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411 to 420 of 3,091 Results
Uni Bonn Probe Request Data Set
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
Readme.md
Oct 22, 2024 - Uni Bonn Probe Request Data Set
Markdown Text - 3.9 KB - MD5: a227d11ea304355a358010f512a53494
probe_request_dataset_bonn_2024.zip
Oct 22, 2024 - Uni Bonn Probe Request Data Set
ZIP Archive - 152.3 KB - MD5: 043c16343d760b280c2c1e2d95040609
Datapcap
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.
Amphora_37_model.zip
Oct 22, 2024 - Attic Black-Figure Amphora in the Academic Art Museum (Inv. 37)
ZIP Archive - 1.1 GB - MD5: 14c6b0f6cee3293c27be4add5b105092
Identifying spatio-temporal drivers of extreme events [data set]
Identifying spatio-temporal drivers of extreme events [data set]
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.
AFR-11.7z
Oct 21, 2024 - Identifying spatio-temporal drivers of extreme events [data set]
7Z Archive - 31.5 GB - MD5: 23895c5e11a26feb1b6fbdda4a7c0928
Data
CAS-11.7z
Oct 21, 2024 - Identifying spatio-temporal drivers of extreme events [data set]
7Z Archive - 30.4 GB - MD5: 22342067b8c7d1830ebeee710e069e92
Data
CERRA.7z.001
Oct 21, 2024 - Identifying spatio-temporal drivers of extreme events [data set]
Unknown - 100.0 GB - MD5: 38eaa7688d119a470089a197990a5d24
Data
CERRA.7z.002
Oct 21, 2024 - Identifying spatio-temporal drivers of extreme events [data set]
Unknown - 95.8 GB - MD5: 15720a1f0be84ab32c7e058b9c9ac7b9
Data
EAS-11.7z
Oct 21, 2024 - Identifying spatio-temporal drivers of extreme events [data set]
7Z Archive - 29.8 GB - MD5: 4f385d00203e698de00d46750c3b2f56
Data
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