bonndata

Metrics

178,279 Downloads

bonndata is the institutional, cross-disciplinary research data repository for the publication of research data for all researchers at the University of Bonn.
bonndata is provided by the University IT and Data Center and maintained by the Research Data Service Center.

Ready to get started with bonndata?
Have a look at our User Guide to get to know the bonndata workflow, tips and tricks!

Questions? Need assistance?
Get in touch: researchdata@uni-bonn.de

Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

321 to 330 of 5,303 Results

correlations.py Jan 26, 2026 - Implementation of the paper "SCANNER+: Neighborhood-based self-enrichment approach for traffic speed prediction" Python Source Code - 4.1 KB - MD5: 3dafcd83c5833accf319e6363b0521c4
loader.py Jan 26, 2026 - Implementation of the paper "SCANNER+: Neighborhood-based self-enrichment approach for traffic speed prediction" Python Source Code - 9.6 KB - MD5: 0bc47c5210de4b0479c71c968b9aadb9
main.py Jan 26, 2026 - Implementation of the paper "SCANNER+: Neighborhood-based self-enrichment approach for traffic speed prediction" Python Source Code - 2.8 KB - MD5: 1d18549aaaf4c8b13ae9e2a6855f1099
metrics.py Jan 26, 2026 - Implementation of the paper "SCANNER+: Neighborhood-based self-enrichment approach for traffic speed prediction" Python Source Code - 3.6 KB - MD5: 821a8b8c9d075a387d5c5901b31c4b84
models.py Jan 26, 2026 - Implementation of the paper "SCANNER+: Neighborhood-based self-enrichment approach for traffic speed prediction" Python Source Code - 11.7 KB - MD5: c9ea92936a88e78c8e37215c261226da
requirements.txt Jan 26, 2026 - Implementation of the paper "SCANNER+: Neighborhood-based self-enrichment approach for traffic speed prediction" Plain Text - 324 B - MD5: b8e3464bca1e99800beec8e671e19f91
stnorm.py Jan 26, 2026 - Implementation of the paper "SCANNER+: Neighborhood-based self-enrichment approach for traffic speed prediction" Python Source Code - 2.1 KB - MD5: 504e2317ef971d65b290ab33cb6607dc
trainer.py Jan 26, 2026 - Implementation of the paper "SCANNER+: Neighborhood-based self-enrichment approach for traffic speed prediction" Python Source Code - 9.5 KB - MD5: 8527d7647042d0aa37a228828ca31c4c
util.py Jan 26, 2026 - Implementation of the paper "SCANNER+: Neighborhood-based self-enrichment approach for traffic speed prediction" Python Source Code - 366 B - MD5: 38ea4a944cc63023dbc079d1a8f428c6
Corinthian Black-Figure Pyxis in the Museum Alte Kulturen Tübingen (Inv. 724) Jan 25, 2026 - Museum Alte Kulturen Günzel, Adriana, 2026, "Corinthian Black-Figure Pyxis in the Museum Alte Kulturen Tübingen (Inv. 724)", https://doi.org/10.60507/FK2/NW1STW, bonndata, V1 Corinthian Black-Figure Pyxis in the Museum Alte Kulturen (University of Tübingen, Inv. 724) showing a frieze of panthers, lions and winged men on the body and sirens on the shoulder. Date: around 570 BC.

correlations.py

Jan 26, 2026 - Implementation of the paper "SCANNER+: Neighborhood-based self-enrichment approach for traffic speed prediction"

Python Source Code - 4.1 KB -

loader.py

Jan 26, 2026 - Implementation of the paper "SCANNER+: Neighborhood-based self-enrichment approach for traffic speed prediction"

Python Source Code - 9.6 KB -

main.py

Jan 26, 2026 - Implementation of the paper "SCANNER+: Neighborhood-based self-enrichment approach for traffic speed prediction"

Python Source Code - 2.8 KB -

metrics.py

Jan 26, 2026 - Implementation of the paper "SCANNER+: Neighborhood-based self-enrichment approach for traffic speed prediction"

Python Source Code - 3.6 KB -

models.py

Jan 26, 2026 - Implementation of the paper "SCANNER+: Neighborhood-based self-enrichment approach for traffic speed prediction"

Python Source Code - 11.7 KB -

requirements.txt

Jan 26, 2026 - Implementation of the paper "SCANNER+: Neighborhood-based self-enrichment approach for traffic speed prediction"

Plain Text - 324 B -

stnorm.py

Jan 26, 2026 - Implementation of the paper "SCANNER+: Neighborhood-based self-enrichment approach for traffic speed prediction"

Python Source Code - 2.1 KB -

trainer.py

Jan 26, 2026 - Implementation of the paper "SCANNER+: Neighborhood-based self-enrichment approach for traffic speed prediction"

Python Source Code - 9.5 KB -

util.py

Jan 26, 2026 - Implementation of the paper "SCANNER+: Neighborhood-based self-enrichment approach for traffic speed prediction"

Python Source Code - 366 B -

Corinthian Black-Figure Pyxis in the Museum Alte Kulturen Tübingen (Inv. 724)

Jan 25, 2026 - Museum Alte Kulturen

Günzel, Adriana, 2026, "Corinthian Black-Figure Pyxis in the Museum Alte Kulturen Tübingen (Inv. 724)", https://doi.org/10.60507/FK2/NW1STW, bonndata, V1

Corinthian Black-Figure Pyxis in the Museum Alte Kulturen (University of Tübingen, Inv. 724) showing a frieze of panthers, lions and winged men on the body and sirens on the shoulder. Date: around 570 BC.

Add Data

Share Dataverse

Link Dataverse

Reset Modifications