首页/数据集/Base-case values for model input parameters and range for sensitivity analysis.

Base-case values for model input parameters and range for sensitivity analysis.

NIAID Data Ecosystem2026-03-11 收录

数据链接：

https://figshare.com/articles/dataset/Base-case_values_for_model_input_parameters_and_range_for_sensitivity_analysis_/8410727 数据链接链接失效反馈

官方服务：

资源简介：

Base-case values for model input parameters and range for sensitivity analysis.

应用场景：

创建时间：

2019-07-01

相关数据集

MUAD

自动驾驶

不确定性评估

MUAD数据集是由巴黎综合理工学院创建的，专注于自动驾驶中多种不确定性的评估。该数据集包含10,413张合成图像，涵盖了夜间、雾、雨、雪等多样化的不利天气条件，以及分布外对象，用于语义分割、深度估计、对象和实例检测的标注。MUAD旨在更好地评估模型在不同不确定性源下的性能，特别是在自动驾驶场景中，通过提供详细的基准和评估工具，推动深度神经网络在敏感应用中的可靠性研究。

arXiv2022-10-08 更新830

A sample embedding set - Astral40R & IDP

蛋白质嵌入

不确定性评估

This dataset contains a sample of embeddings generated for two seq. sets: a random sequence set ( Astral40R ) and intrinsically disordered proteins ( IDP , derived from DisProt v2024_12). Th

Figshare2025-09-22 更新60

Parameter baselines, increments, and ranges used for the sensitivity analysis of two muscle fatigue models (MFM).

肌肉疲劳建模

模型参数敏感性分析

Parameter baselines, increments, and ranges used for the sensitivity analysis of two muscle fatigue models (MFM).

NIAID Data Ecosystem30

Simulated sensitivity time series and model performance in three German catchments

模型参数敏感性分析

性能优化

The data sets contains the major results of the article “Improving information extraction from model data using sensitivity-weighted performance criteria“ written by Guse et al. (2020). In this articl

DataCite Commons2025-12-10 更新80

Discrete wavelet transform coupled with the active subspace method

模型参数敏感性分析

数据分析方法

The provided Python code represents the coupled framework between the discrete wavelet transform and the active subspace method. It has the goal to perform temporal scale dependent model parameter sen

DataONE2022-04-15 更新40