The map shows spatial distribution of prudent carbon storage potential in sedimentary basins. Three sensitivity data points are available for Low, Central, and High sensitivity cases for both onshore and offshore attributions. The units are in Gt CO2 (Giga Tonnes Carbon Dioxide) units.

The initial legends and colour scheme of the visualisation is defaulted to onshore central estimate. Users can change this visualisation dynamically by right clicking on the layer in the left panel and selecting “edit symbology” item. Use the popup menu to change the color scheme, bin sizes etc. To save the new visualization, click “classify” tab. The symbology legend can be viewed by clicking the “arrow” pointer next to the layer. The layers can be disabled by clicking the “eye” icon next to the layer.

Sedimentary basin level data can be viewed by selecting the layer and clicking “i” icon on the top bar. Next, by clicking individual sedimentary basins, users can view the datapoints by three sensitivity criterions and for both onshore/offshore attribution in the right panel under “identify features” tab.

The map was created by applying the deductive exclusion mask principle onto a global geospatial sedimentary deposit dataset. The methods are described in

Visualisation of the data is done using JupyterGIS with support from Quantstack.

Country-level data and codes for generating the figures in the paper can be downloaded here: Zenodo.

Questions or comments about the map? Contact: [email protected], [email protected]

Features mapped here are not intended for legal uses and no warranty, expressed or implied, is made by the data contributors as to the accuracy of the data. The authors shall not be held liable for improper or incorrect use of the data described and/or contained herein. Any sale, distribution, loan, or offering for use of these data, in whole or in part, is prohibited. The use of these data to produce other products and services with the intent to use or sell for a profit is prohibited. All parties receiving these data must be informed of these restrictions. This is an aggregate dataset with multiple data sources, presented here under CC-BY license.