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Input data for simulated differential compartments in the HiC-DOC benchmark
The HiC-DOC package was benchmarked using simulated datasets. These datasets were generated using dc-hic and HiC-DOC outputs. This archive stores these outputs. -
Benchmarkbestand Nationale Studenten Enquête 2022-2025
De Nationale Studenten Enquête (NSE) is een grootschalig landelijk onderzoek waarin jaarlijks bijna alle studenten in het hoger onderwijs worden uitgenodigd om hun mening te... -
How to extract adsorption energies, adsorbate-adsorbate interaction parameter...
We present a scheme to extract the adsorption energy, adsorbate interaction parameter and the saturation coverage from temperature programmed desorption (TPD) experiments. We... -
Double-hybrid DFT functionals for the condensed phase: Gaussian and plane wav...
Intermolecular interactions play an important role for the understanding of catalysis, biochemistry and pharmacy. Double-hybrid density functionals (DHDFs) combine the proper... -
RobustSpring: Benchmarking Robustness to Image Corruptions for Optical Flow, ...
The RobustSpring dataset contains the image corruption data files for scene flow, optical flow and stereo estimation with the Spring dataset. Note that this repository contains... -
The 11th SPE Comparative Solution Project: Submitted Data
Data submitted to the 11th Society of Petroleum Engineers Comparative Solution Project. Contains the sparse and dense data files of 77 results submitted by 18 participating... -
Code and Data for: Better by default: Strong pre-tuned MLPs and boosted trees...
This dataset contains code and data for our paper "Better by default: Strong pre-tuned MLPs and boosted trees on tabular data", specifically, the NeurIPS version which is also... -
Code and Data for: Better by default: Strong pre-tuned MLPs and boosted trees...
This dataset contains code and data for our paper "Better by default: Strong pre-tuned MLPs and boosted trees on tabular data". The main code is provided in pytabkit_code.zip... -
Performance Data for the Visualisation of Time-Dependent Particles using Dire...
Results of a series of performance measurements (frame times) to determine the impact of using the DirectStorage API for rendering time-dependent particle data sets in contrast... -
Supplemental Material for "Efficient Sphere Rendering Revisited"
This dataset contains the measured rendering times (in milliseconds) for all tested GPUs in the paper "Efficient Sphere Rendering Revisited". The timings have been measured in... -
Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, O...
The Spring dataset contains files for scene flow, optical flow and stereo estimation. For easier handling, we organized them into sub-directories: train split:... -
Verification benchmarks for single-phase flow in three-dimensional fractured ...
This dataset contains the source code for simulating the benchmark cases of Berre et al. (2021) with the open-source simulator DuMuX. The benchmarks focus on flow and transport... -
PDEBench Pretrained Models
This dataset contains the pretrained baseline models, namely FNO, U-Net, and PINN. These models are trained on different PDEs, such as 1D advection, 1D Burgers', 1D and 2D... -
PDEBench Datasets
This dataset contains benchmark data, generated with numerical simulation based on different PDEs, namely 1D advection, 1D Burgers', 1D and 2D diffusion-reaction, 1D... -
Case 3 - Small Features
This dataset contains results related to the benchmark case 3 as described in detail in the call for participation. The sub-folder "reference" contains solutions for pressure... -
CherryChèvre: A Fine-Grained Dataset for Goat Detection in Natural Environments
We introduce a new dataset for goat detection that contains 6160 annotated images captured under varying environmental conditions. The dataset is intended for developing machine... -
CherryChèvre: A Fine-Grained Dataset for Goat Detection in Natural Environmen...
We introduce a new dataset for goat detection that contains 6160 annotated images captured under varying environmental conditions. The dataset is intended for developing machine... -
Connected Max-k-Cut Problem instances
This instances correspond to the instances used in the article "A branch-and-cut algorithm for the Connected Max-k-Cut Problem" winstance: randomly generated instances... -
Interfacial relaxation - Crucial for phase-field methods to capture low to hi...
This dataset has no description
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Fine-tuned model weights for Stance Detection Benchmark System
This collection includes model weights (BERT-based), fine-tuned in a multi-task setting on 10 heterogeneous stance detection datasets. For more information, please refer to the...
