READ ME File For 'Dataset regarding "Multi-scale investigations of cold-water coral habitat using novel technology and advanced image analysis."'

Dataset DOI: 10.5258/SOTON/D2000 

ReadMe Author: David Price, University of Southampton

This dataset supports the thesis entitled 'Multi-scale investigations of cold-water coral habitat using novel technology and advanced image analysis'.
AWARDED BY: Univeristy of Southampton
DATE OF AWARD: 2021

DESCRIPTION OF THE DATA
Included are the annotated excel sheets used for statistical analysis. Annotations were made from ROV video and terrain metrics from 3D models or Bathymetry. 

This dataset contains:

It comprises three parts: 
SDM CWC Explorer Canyon Data (related to findings presented in chapter two) 
Linear SfM transect CWC rugosity (related to findings presented in chapter three) 
Annotations of Piddington Mound taxa (related to findings presented in chapter four) 

Collum abreviations:

pa_loph: Presence/absence Lophelia
pa_mad: Presence/absence Madrepora	
pa_cwc: Presence/absence Cold-water coral	
loph: Lophelia	
mad: Madrepora	
cwc: Cold-water coral	
SR: Species Richness	
TA: Total Abundance	
SW: Shannon index	
SW_NC:Shannon index (coral removed)	
cu: Curvature		
vrm: vector ruggedness measure (any associated numbers refer to neighborhoud size (as pixel), singular collumn headers which are only numbers and yellow cells refer to VRM)
BPI: Bathymetry positioning index. (fbpi refers to fine, bbpi refers to broad)	
Z: Depth

Date of data collection: 2015

Information about geographic location of data collection: 

Norht East Atlantic

Licence:
CC-BY

Related projects/Funders:
CODEMAP

Related publication:
Using 3D photogrammetry from ROV video to quantify cold-water coral reef structural complexity and investigate its influence on biodiversity and community assemblage
Fine-scale heterogeneity of a cold-water coral reef and its influence on the distribution of associated taxa


Date that the file was created: 14/10/2021

--------------
Notes:
1. Rename file, giving it an appropriate name and removing the word 'template'. 
2. Remove [] adding in information where required.
3. Remove any sections not relevant to your dataset 
4. Remove these notes before saving