首页/数据集/Research data supporting “Characterization and evaluation of methane oxidation catalysts for dual fuel diesel and natural gas engines”

Research data supporting “Characterization and evaluation of methane oxidation catalysts for dual fuel diesel and natural gas engines”

Name: Research data supporting “Characterization and evaluation of methane oxidation catalysts for dual fuel diesel and natural gas engines”
Creator: Apollo - University of Cambridge Repository
Published: 2016-10-11T10:46:04+08:00

DataCite Commons2024-12-17 更新2024-08-25 收录

甲烷氧化催化剂

双燃料发动机

数据链接：

https://www.repository.cam.ac.uk/handle/1810/260697 数据链接链接失效反馈

官方服务：

资源简介：

Data to support publication figures

应用场景：

提供机构：

Apollo - University of Cambridge Repository

创建时间：

2016-10-11

中世纪手稿

图书馆

Following the unsuccessful conclusion in 1930 of M.R. James’s work on the University Library’s medieval manuscripts, the next concerted attempt to produce updated descriptions of the collection was un

DataCite Commons2021-08-02 更新130

Research Data supporting "Different electrophysiological profiles of genetically labelled dopaminergic neurons in the mouse midbrain and olfactory bulb"

神经科学

电生理学

Immunohistochemistry/confocal microscope images and electrophysiological single cell recordings. Data to support the publication "Different electrophysiological profiles in genetically labelled dopami

DataCite Commons2024-12-17 更新110

Data supporting "3D-printed hierarchical pillar array electrodes for high performance semi-artificial photosynthesis"

3D打印

人工光合作用

Essential data from our publication in Nature Materials (2022) entitled 3D printed hierarchical pillar array electrodes for high performance semi-artificial photosynthesis. by Xiaolong Chen, Joshua M.

DataCite Commons2025-04-20 更新70

Supporting data for: A multi-parameter criterion for layer formation in a stratified shear flow using sorted buoyancy coordinates

流体力学

数值模拟

This contains supporting data needed to reproduce the DNS simulations reported in the accompanying paper. The files include source code (in Fortran 90/MPI) and input files.

DataCite Commons2024-12-17 更新130

Dataset for: Unsupervised segmentation of 3D microvascular photoacoustic images using deep generative learning

影像分割

深度学习

VAN-GAN (Vessel Segmentation Generative Adversarial Network) Sweeney, P.W. et al. (2024) ''' Synthetic Paired Dataset ''' The raw data for physic-driven photoacoustic (PA) simulations and the syntheti

DataCite Commons2025-04-01 更新80

Research data supporting “Characterization and evaluation of methane oxidation catalysts for dual fuel diesel and natural gas engines”

资源简介：

相关数据集