Predictive factors of hemodynamic improvement<sup>*</sup>.
收藏NIAID Data Ecosystem2026-03-10 收录
数据链接：
官方服务：
资源简介：
Predictive factors of hemodynamic improvement*.
应用场景：
创建时间：
2018-06-21
相关数据集
HeartCycle: A comprehensive dataset of synchronized impedance cardiography and echocardiography for accurate hemodynamic predictions
Impedance cardiography dataset (ICG) which combines the ICG signals and other methodologies with the golden standard echocardiographys (ECG). Researchers can use this dataset to compare the ICG points
PhysioNet170
Development of a Group Contribution Method To Predict Aqueous Phase Hydroxyl Radical (HO•) Reaction Rate Constants
The hydroxyl radical (HO•) is a strong oxidant that reacts with electron-rich sites of organic compounds and initiates complex chain mechanisms. In order to help understand the reaction mechanisms, a
NIAID Data Ecosystem60
Temporal blood flow changes measured by diffuse correlation tomography predict murine femoral graft healing
Blood flow changes during bone graft healing have the potential to provide important information about graft success, as the nutrients, oxygen, circulating cells and growth factors essential for integ
Figshare2018-05-29 更新50
Predicting the self-diffusion coefficient of atmospheric organic aerosol components via molecular dynamics simulations
The input files for all the organic compounds simulated in "Predicting the self-diffusion coefficient of atmospheric organic aerosol components via molecular dynamics simulations". The input files ar
Zenodo2026-06-13 更新60
An ensemble conditional nonlinear optimal perturbation approach: Formulation...
The conditional nonlinear optimal perturbation (CNOP) method proposed by Mu et al. (2003) has been a useful tool for studying predictability dynamics. Its further applications...
University Corporation for Atmospheric Research50
