1 - Title of the dataset
Mangrove biodiversity in the Bangladesh Sundarbans.

2 – A brief description of the dataset.
The dataset contains biodiversity and environmental data collected from the Sundarbans mangrove forest in Bangladesh.
The rows in the first column contains the plot (permanent sample plot, PSP) numbers. 
The remaining columns represent the 
> estimated values of the alpha, beta and gamma diversity measures (for q =1,2,& 3)
> environmental and biotic variables &
> latitude & longitude of the plots
Plot level raw species data can be collected upon request from the Bangladesh Forest Department. 

Methodology

Tree (counts) and environmental data were collected from the 110 permanent sample plots (PSP, 0.2 ha each) in the Sundarbans. 
Nine soil samples were collected from each PSP. Then we measured soil sand, silt and clay percentages, 
salinity, pH, oxidation reduction potential (ORP), NH4, P, K, Mg, Fe, Zn, Cu and sulphide concentrations.
For determining the percentage of sand, slit and clay in soil, we used the hydrometer method (Klute et al., 1986). 
We measured soil salinity (as electrical conductivity) in a 1:5 distilled water:soil dilution (Hardie & Doyle, 2012) 
using a conductivity meter. Soil pH and oxidation reduction potential were measured in the field using soil pH and 
oxidation reduction potential meters. We followed the Kjeldahl method (Bremner & Breitenbeck, 1983) to determine soil NH4, 
and  the molybdovanadate method (Ueda & Wada, 1970) to determine total P concentrations. Soil K, Mg, Fe and Zn 
concentrations were measured using an atomic absorption spectrophotometer. 
 
3 - Creators/Authors of the dataset and their institutional affiliations (if not Glasgow). If the authors have an ORCID, please include this info.

Creator: Dr Swapan Kumar Sarker, ORCHID: 0000-0002-9933-0493
Authors: Swapan Kumar Sarker, Richard Reeve, Nirmal K. Paul and Jason Matthiopoulos

4 - Funder information 
    Commonwealth Scholarship Commission, United Kingdom. Code: BDCA-2013-6

5 - Your dataset (this should comprise the data files and a README file - this can be sent by email or FTP: https://transfer.gla.ac.uk/).
    Attached

6 - The date on which the dataset can be made publicly available (if known)
    Now

7 - Any restrictions on making the dataset public (eg ethical, legal or commercial considerations)
    No restrictions

8 - Preferred license type etc. If there are no restrictions, we will publish the data under a Creative Commons (CC BY 4.0) license.
    Creative Commons

9 - Link to the related publication, if you have this (for theses, we will obtain this once the thesis is deposited).
    Manuscript under revision. 

10 – Who holds the copyright for the dataset?
     Dr Swapan Kumar Sarker

11 – Was ethical approval required for this research? If so, please provide a copy of the consent form and information document.
     No
12 – Time period over which the data was collected AND/OR temporal period the data covers (please indicate whether time period relates to collection or coverage).
     Data collected between January to June 2014.
13 – Approximate size of the dataset.
     39.6 KB