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资源简介：
One of the top-performing methods in the AnDi-2020 challenge
AnDi-2020竞赛中表现优异的顶级方法之一
应用场景：
创建时间：
2025-04-09
相关数据集
Anomalous diffusion parameters α and D α for all glycan and protein conformational dihedral angles categorized by conformational dihedral angle.
Anomalous diffusion parameters α and Dα for all glycan and protein conformational dihedral angles categorized by conformational dihedral angle.
NIAID Data Ecosystem100
R code - home ranges and NBDA from Multi-network-based diffusion analysis reveals vertical cultural transmission of sponge tool use within dolphin matrilines.
R code for calculating home range overlaps and application of network-based diffusion analysis to sponging data
DataCite Commons2020-10-15 更新40
Appendix B. Detailed description for generating dispersal predictors using a distance based eigenvector procedure.
Detailed description for generating dispersal predictors using a distance based eigenvector procedure.
NIAID Data Ecosystem30
Data and code for Fletcher et al. (2023): A framework for linking dispersal biology to connectivity across landscapes
Data and code for the empirical example on Florida black bears provided in Fletcher et al. 2023 (DOI: 10.1007/s10980-023-01741-8). bear_fig4.R: code to re-create Figure 4. This code illustrates tuning
Figshare2023-07-30 更新40
Parameter estimates for time-dependent speed v ( t ) = v 0 (1 + δ cos( ωt + ϕ )).
For v0, D, δ, ω, ϕ the reported standard errors represent the variability over replicates. The Peclet number Pe = Lv0/4D and meeting point uncertainty , see Eq (14), are computed from the average esti
NIAID Data Ecosystem40
