bonndata

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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.
bonndata is provided by the University IT and Data Center and maintained by the Research Data Service Center.

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71 to 80 of 3,027 Results

DYToMuMu_M-20_CT10_TuneZ2star_v2_8TeV_7.feather Jan 21, 2025 - pandas DataFrames of the DYToMuMu_M-20_CT10_TuneZ2star_v2_8TeV process Unknown - 595.8 MB - MD5: dee23132e2613c62f85549d83f19575c
DYToMuMu_M-20_CT10_TuneZ2star_v2_8TeV_8.feather Jan 21, 2025 - pandas DataFrames of the DYToMuMu_M-20_CT10_TuneZ2star_v2_8TeV process Unknown - 501.1 MB - MD5: ac13936253dae213a2ce2400a1e987d4
DYToMuMu_M-20_CT10_TuneZ2star_v2_8TeV_9.feather Jan 21, 2025 - pandas DataFrames of the DYToMuMu_M-20_CT10_TuneZ2star_v2_8TeV process Unknown - 612.3 MB - MD5: 7098d8448d7a56f405f4044d3ddc923e
Example.py Jan 21, 2025 - pandas DataFrames of the DYToMuMu_M-20_CT10_TuneZ2star_v2_8TeV process Python Source Code - 2.5 KB - MD5: a8eea82d056ac0b2ca2107d88793531a
README.txt Jan 21, 2025 - pandas DataFrames of the DYToMuMu_M-20_CT10_TuneZ2star_v2_8TeV process Plain Text - 7.0 KB - MD5: e255242cab30415c4110759f71c152c0
LHC Open DataFrames(University of Bonn) Jan 21, 2025
Replication data for "Analyzing the Potency of Pretrained Transformer Models for Automated Program Repair" Jan 14, 2025 Leiwig, Maximilian; Swierzy, Ben; Bungartz, Christian; Meier, Michael, 2024, "Replication data for "Analyzing the Potency of Pretrained Transformer Models for Automated Program Repair"", https://doi.org/10.60507/FK2/O54LWP, bonndata, V2 This repository contains replication data for the paper "Analyzing the Potency of Pretrained Transformer Models for Automated Program Repair". The dataset contains commits that indicate a bug fix from 200 repositories on Github. Scripts for fetching data associated with the commi...
README.md Jan 14, 2025 - Replication data for "Analyzing the Potency of Pretrained Transformer Models for Automated Program Repair" Markdown Text - 1.9 KB - MD5: bd4306963175ff314ccc46d7601a2b35
Supplementary Data to the study on Candidate gene prediction for drought adaptation in Brassicaceae species Jan 6, 2025 Uebermuth-Feldhaus, Carolin, 2025, "Supplementary Data to the study on Candidate gene prediction for drought adaptation in Brassicaceae species", https://doi.org/10.60507/FK2/JBUJFW, bonndata, V1 Contains the raw results of the gene family prediction and their differential expression under drought in the Brassicaceae species Eutrema salsugineum, Arabidopsis lyrata, Arabidopsis thaliana and Brassica napus, including phylogenetic trees for expanded gene families. It contain...
A2TEA_finished.RData Jan 6, 2025 - Supplementary Data to the study on Candidate gene prediction for drought adaptation in Brassicaceae species R Data - 33.9 MB - MD5: 3a29b566ffce91f612dced974bdaa404 the raw results from the A2TEA.Workflow

DYToMuMu_M-20_CT10_TuneZ2star_v2_8TeV_7.feather

Jan 21, 2025 - pandas DataFrames of the DYToMuMu_M-20_CT10_TuneZ2star_v2_8TeV process

Unknown - 595.8 MB -

DYToMuMu_M-20_CT10_TuneZ2star_v2_8TeV_8.feather

Jan 21, 2025 - pandas DataFrames of the DYToMuMu_M-20_CT10_TuneZ2star_v2_8TeV process

Unknown - 501.1 MB -

DYToMuMu_M-20_CT10_TuneZ2star_v2_8TeV_9.feather

Jan 21, 2025 - pandas DataFrames of the DYToMuMu_M-20_CT10_TuneZ2star_v2_8TeV process

Unknown - 612.3 MB -

Example.py

Jan 21, 2025 - pandas DataFrames of the DYToMuMu_M-20_CT10_TuneZ2star_v2_8TeV process

Python Source Code - 2.5 KB -

README.txt

Jan 21, 2025 - pandas DataFrames of the DYToMuMu_M-20_CT10_TuneZ2star_v2_8TeV process

Plain Text - 7.0 KB -

LHC Open DataFrames(University of Bonn)

Jan 21, 2025

Replication data for "Analyzing the Potency of Pretrained Transformer Models for Automated Program Repair"

Jan 14, 2025

Leiwig, Maximilian; Swierzy, Ben; Bungartz, Christian; Meier, Michael, 2024, "Replication data for "Analyzing the Potency of Pretrained Transformer Models for Automated Program Repair"", https://doi.org/10.60507/FK2/O54LWP, bonndata, V2

This repository contains replication data for the paper "Analyzing the Potency of Pretrained Transformer Models for Automated Program Repair". The dataset contains commits that indicate a bug fix from 200 repositories on Github. Scripts for fetching data associated with the commi...

README.md

Jan 14, 2025 - Replication data for "Analyzing the Potency of Pretrained Transformer Models for Automated Program Repair"

Markdown Text - 1.9 KB -

Supplementary Data to the study on Candidate gene prediction for drought adaptation in Brassicaceae species

Jan 6, 2025

Uebermuth-Feldhaus, Carolin, 2025, "Supplementary Data to the study on Candidate gene prediction for drought adaptation in Brassicaceae species", https://doi.org/10.60507/FK2/JBUJFW, bonndata, V1

Contains the raw results of the gene family prediction and their differential expression under drought in the Brassicaceae species Eutrema salsugineum, Arabidopsis lyrata, Arabidopsis thaliana and Brassica napus, including phylogenetic trees for expanded gene families. It contain...

A2TEA_finished.RData

Jan 6, 2025 - Supplementary Data to the study on Candidate gene prediction for drought adaptation in Brassicaceae species

R Data - 33.9 MB -

the raw results from the A2TEA.Workflow

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