Dataset: Mangrove sediment organic matter and environmental variability

These datasets are made available to support mangrove research and to understand their service delivery, as well as the need to safeguard them for climate regulation. 

The datasets (collected between February and April 2017 from the Kakum Mangrove system of Ghana) are made up of two files (Fulldata and GrainOM). The Fulldata consists of 13 variables and 105 observations. The first three variables are factor variables (week, station, and substation). The remaining variables are continuous. 

The GrainOM dataset also consists of 12 variables and 9 observations (corresponding to the total number of substations): the first two are categorical (stations and substations), followed by 7 grain size characteristics (mean weight of each grain size in respective substations and stations), and three sediment characteristics (mean weight of each variable in respective substations and stations). 

We used these datasets for the manuscript "Unravelling the Impact of Environmental Variability on Mangrove Sediment Carbon Dynamics, " using descriptive statistics, multivariate analysis of variance of spatial-temporal analysis, inferential statistics (using general linear models and linear mixed effect models), and correlation and principal component analysis. The R codes used are presented in the following R files:

Sediment_manuscript_Descriptive_codes,

Sediment_manuscript_MANOVA_Codes,

Sediment_manuscript_GLM_LMM_codes, and

Sediment_manuscript_Grain_size_codes. 

You may contact Asante F. should have need further clarity on the access, and use of the datasets.