Logo image
Back
Dataset and Markdown codes for article "Long term nitrogen burial exceeds denitrification in global fjords"
Dataset   Open access

Dataset and Markdown codes for article "Long term nitrogen burial exceeds denitrification in global fjords"

Henry LS Cheung, Lubrina Levin, Craig Smeaton, Tobia Politi, Isaac Santos and Stefano Bonaglia
Zenodo
03/10/2025
DOI: https://doi.org/10.5281/zenodo.17257260
Appears in  Recent Faculty of Science and Engineering Publications
url
Dataset and Markdown codes for article "Long-term nitrogen burial exceeds denitrification in global fjords"View
CC BY V4.0,  Open

Metrics

1 Record Views

Abstract

Biogeochemistry Marine sediment Nitrogen Cycle
This repository contains the compiled dataset of new and referenced observations of fjord nitrogen loss processes, and the R Markdown files required to conduct spatial weighted bootstrap analyses. The dataset (in data_file) includes empirical observations in global fjords of geochemical characteristics and processes (NAR_data.csv), microbial nitrogen cycling rates (N2_data.csv), as well as sediment nitrogen cycling rate measurements in seasonal hypoxic fjord - Gullmar Fjord, Sweden (gullmar_data.csv). Units and remarks of each dataset are found in the corresponding *_metadata.csv files. These dataset were used to generate figures in the article and to perform all statistical analyses. Shapefiles (in shp_file) are used to generate base map and highlight major fjord regions in plots. The R code used to perform spatial weighted bootstrap analyses (in spatial_weighted_bootstrap) is available in R Markdown format and rendered as HTML and PDF files. Data and shape files that required to perform the analyses and the visualization can be found in data_file and shp_file.

Details

Logo image