In the framework of the VICI funded project “Exploiting the Empire of Others: Dutch Investment in Foreign Colonial Resources, 1570-1800” at Leiden University, this dataset has assembled data on... Show moreIn the framework of the VICI funded project “Exploiting the Empire of Others: Dutch Investment in Foreign Colonial Resources, 1570-1800” at Leiden University, this dataset has assembled data on shipping between The Netherlands and Africa between roughly 1830 and 1918. It is based on open-access data from Marhisdata, a website collecting data on historical shipping in The Netherlands. (2023-10-02) Show less
This page contains an Excel file with search queries to identify documents related to the Sustainable Development Goals (SDGs) 1-16. It also contains a document that explains the methodology used... Show moreThis page contains an Excel file with search queries to identify documents related to the Sustainable Development Goals (SDGs) 1-16. It also contains a document that explains the methodology used to create the queries.This procedure was created for the STRINGS project. It is important to note that in our work to identify SGD-related publications, we do not rely exclusively on search queries. We apply each SDG query to research areas that are obtained from a publication-level clustering algorithm, based on direct backwards and forward citations. We then select research areas related to SDGs, and include all the publications that contribute to that area. The advantage of this procedure is that it allows: i) to include publications that do not use SDG-related language in their abstract or title but which contribute to the research in a cluster/area that has several publications that use SDG-related language; ii) to exclude publications that use terms that are related to SDGs, but do not contribute research that is related to the SDGs.In the STRINGS report, you can find an application to map and characterise publications and patents related to the SDGs, and a country-level analysis of the alignment between research priorities and SDG challenges. Show less
The GramAdapt Social Contact Dataset is a curated dataset of 34 language pairs from across the globe, with quantitative and qualitative data on social interaction between pairs of language... Show moreThe GramAdapt Social Contact Dataset is a curated dataset of 34 language pairs from across the globe, with quantitative and qualitative data on social interaction between pairs of language communities in contact. The language pairs were sampled globally, with the intention of avoiding areal and cultural biases. The data were collected by distributing a questionnaire to experts who have experience with either one or both of the language communities. The responses are subjective expert assessments. Authors 1-3 manually checked each response for judgement of responses. This results in a dataset containing 12554 data points. Show less
