Published February 24, 2021 | Version 2.0.0

The Surface Water Chemistry (SWatCh) database

  • 1. Sterling Hydrology Research Group, Dalhousie University
  • 2. Department of Mechanical Engineering, Dalhousie University

Contributors

  • 1. Sterling Hydrology Research Group, Dalhousie University

Description

This is the dataset presented in the following manuscript: The Surface Water Chemistry (SWatCh) database: A standardized global database of water chemistry to facilitate large-sample hydrological research, which is currently under review at Earth System Science Data.

Openly accessible global scale surface water chemistry datasets are urgently needed to detect widespread trends and problems, to help identify their possible solutions, and determine critical spatial data gaps where more monitoring is required. Existing datasets are limited in availability, sample size/sampling frequency, and geographic scope. These limitations inhibit the answering of emerging transboundary water chemistry questions, for example, the detection and understanding of delayed recovery from freshwater acidification. Here, we begin to address these limitations by compiling the global surface water chemistry (SWatCh) database. We collect, clean, standardize, and aggregate open access data provided by six national and international agencies to compile a database containing information on sites, methods, and samples, and a GIS shapefile of site locations. We remove poor quality data (for example, values flagged as “suspect” or “rejected”), standardize variable naming conventions and units, and perform other data cleaning steps required for statistical analysis. The database contains water chemistry data for streams, rivers, canals, ponds, lakes, and reservoirs across seven continents, 24 variables, 33,722 sites, and over 5 million samples collected between 1960 and 2022. Similar to prior research, we identify critical spatial data gaps on the African and Asian continents, highlighting the need for more data collection and sharing initiatives in these areas, especially considering freshwater ecosystems in these environs are predicted to be among the most heavily impacted by climate change. We identify the main challenges associated with compiling global databases – limited data availability, dissimilar sample collection and analysis methodology, and reporting ambiguity – and provide recommended solutions. By addressing these challenges and consolidating data from various sources into one standardized, openly available, high quality, and trans-boundary database, SWatCh allows users to conduct powerful and robust statistical analyses of global surface water chemistry.

Notes

The code used to generate the SWatCh database is published on Github: https://github.com/LobkeRotteveel/SWatCh

Files

SWatCh_Sites_v2.shp.xml

Files (1.5 GB)

Name Size
md5:5fe3e2f515250e64b10c113634b4a4ef
284.5 kB Download
md5:b0063166ab9e9e8ec8dd54f1f8ee5596
16.1 kB Download
md5:ae3b3df9970b49b6523e608759bc957d
5 Bytes Download
md5:cef2dac40661982bbf83d037e610210e
34.6 MB Download
md5:c742bee3d4edfc2948a2ad08de1790a5
145 Bytes Download
md5:72cb1758fc3482691b1d09c7dcd0418b
242.8 kB Download
md5:d7e0c4289685e19e835acd1a2afa9066
3.7 kB Download
md5:66d68efef59464f125a723921882f765
733.9 kB Download
md5:22e46ee9ad6f813d159828467f376895
9.3 kB Preview Download
md5:6f8f93eec565ae7d67d87d2b695cf079
209.8 kB Download
md5:d1bcd193c774e713032ce7ff8853debe
1.5 GB Preview Download

Additional details

Related works

Is compiled by
Other: https://github.com/LobkeRotteveel/SWatCh (URL)
Is new version of
Dataset: 10.5281/zenodo.4559696 (DOI)
Is referenced by
Journal article: 10.5194/essd-2021-43 (DOI)