Table \ref{133180} shows broad WOL Level 1 subject groups and the corresponding WOL Level 2 subject with the largest number of identified domains. For example, domains referenced in DASs from  Ecology journals made up the largest proportion of domains identified within the Life Sciences.
Figure \ref{692056} shows the top domains found within DASs analyzed. For each domain, "WOL Level 1" broad subject areas of the journals to which the corresponding DASs were submitted is shown. The largest number of domains identified came from Life Sciences journals, and references to unresolved doi.org URLs are the majority. Regardless of domain referenced, the broad subject area with the lowest number of referenced domains was the WOL Level 1 category Physical Sciences & Engineering.
Among the most highly referenced resolvable domains in Figure \ref{692056},  Dryad (datadryad.org), the collection of repositories at the NIH (nih.gov), Github (github.com), and the general use data repository Figshare (figshare.com) represent the top four highly-used data sharing and storage locations, respectively. The top-referenced data sharing and storage resources noted were referenced largely by researchers from the life sciences. The next most-referenced repository, the Open Science Framework (osf.io), shows a majority of associated DASs from the Social and Behavioral Sciences. 
In Figure \ref{692056}, the Mathematics & Statistics WOL category is the only category where doi.org (unresolved) is not the highest - most responses are in github.com
As well as the most DASs, Life sciences also has the largest range of repositories used (22). Physical Sciences & Engineering uses the least, at only 2 repositories.
In general, results of this DAS analysis mirrors the results of the Wiley Open Research Survey 2019 \cite{yudm4h} with Life Sciences being top for Open Data, with Medicine closely behind.