Yang, Qingliu
6 files · 8.0 MB · bzip2
hybrid · semantic + lexical · 4 datasets ranked · 1.91s
Yang, Qingliu
6 files · 8.0 MB · bzip2
Dataset Description This dataset contains 3D lightning location results, DALMA and FALMA waveform for two Energetic Compact Stroke (ECS) events. location results are included: HF3D_1732785151.dat - 3D lightning locations for the ECS leader A flash. HF3D_1734785454.dat - 3D lightning locations for the ECS leader B flash. The timestamp 1734785454 and 1732785151 corresponds to the occurrence time of the lightning flash in Japan Standard Time. File format and parameters The first row contains the lightning occurrence time. Column descriptions: Time (ms) - time relative to the lightning source. X, Y, Z (m) - 3D spatial coordinates relative to ground level. The origin (0, 0, 0) corresponds to latitude 36.76°N and longitude 136.76°E. FALMA and DALMA waveform ECSLeaderA_DALMA_waveform.bz2 is DALMA waveform of Leader A. ECSLeaderA_FALMA_waveform.bz2 is FALMA waveform of Leader A. ECSLeaderB_DALMA_waveform.bz2 is DALMA waveform of Leader B. ECSLeaderB_FALMA_waveform.bz2 is FALMA waveform of Leader B. This dataset allows analysis of the spatial and temporal development of these two ECS flashes.
Kim, Kyurhi
10 files · 9.6 GB · bzip2, zipdeclared
This repository contains cis-xQTL mapping results, colocalization analysis results, and transcriptome-wide association study (xTWAS) weights and association test statistics for six transcriptomic modalities generated from bulk RNA-seq data of dorsolateral prefrontal cortex (DLPFC) tissue from the ROS/MAP cohorts (n = 1,035). The RNA trait tables (BED format) used for cis-xQTL mapping and xTWAS model training were generated using the Pantry pipeline but are not included in this repository. Colocalization and xTWAS analyses were performed using the publicly available Alzheimer's disease (AD) dementia GWAS summary statistics from Bellenguez et al. ( Nature Genetics , 2022).
Allendorf, Daniel · Bläsius, Thomas · Leonhardt, Alexander · et al.
2 files · 12 GB · bzip2, zipdeclared
About this Repository This repository contains the software, datasets, and experimental data to reproduce the experiments in the above mentioned article. Please refer to the README file for more details and instructions. Article Abstract We consider a maximum entropy edge weight model that allows for negative weights. Given a graph Gand possible weights W typically consisting of positive and negative values, the model selects edge weights w ∈ W^m uniformly at random from all weights that do not introduce a negative cycle. We propose an MCMC process and show that it converges to the required distribution. We then engineer an implementation of the process using a dynamic version of Johnson's algorithm in connection with a bidirectional Dijkstra search as well as an innovative resampling method. We empirically study the performance characteristics of these novel sampling algorithms as well as the output produced by the model. Dataset Most of the input data (graph data) is generated dynamically via random graph models. In addition to the result data from the experiments, unew.data.tar.bz2 also contains trimmed US road networks used for the ROAD dataset in the paper. Code The code is developed at https://codeberg.org/lukasgeis/unew --- you may want to check there for updates.
OpenFF, YDS
18 files · 334 MB · bzip2, csv, pngdeclared
Generated by yammbs-dataset-submission: https://github.com/openforcefield/yammbs-dataset-submission