ParlEE Plenary Speeches V4 contains the full-text speeches from eight legislative chambers for Bulgaria, Denmark, Estonia, Greece, Latvia, Lithuania, Malta and Poland covering 2009-2019, extending... Show moreParlEE Plenary Speeches V4 contains the full-text speeches from eight legislative chambers for Bulgaria, Denmark, Estonia, Greece, Latvia, Lithuania, Malta and Poland covering 2009-2019, extending the breadth of countries included in the ParlEE Plenary Speech dataset to a total of 28 parliaments. Like ParlEE Plenary Speeches V1, V2, and V3 this data set provides the plenary speeches split to the sentence-level annotated with date, speaker, party, EU vs. Domestic politics classification, and relevant policy area (using the Comparative Agendas Project coding scheme). (2024-02-12) Show less
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
This repository contains the visual stimuli used for the elicitation of ethnozoological data and the documentation of East African pastoralists' TEK. The stimuli have been developed within the... Show moreThis repository contains the visual stimuli used for the elicitation of ethnozoological data and the documentation of East African pastoralists' TEK. The stimuli have been developed within the framework of a NWO funded project on 'Cattle-Talk: the language of colour among East African pastoralists' (project number VI.Veni.191T.026). The stimuli can be adapted to other animal classification systems and they can be used in experimental settings or in semi-structured interviews. For more information see Petrollino 2022. Show less
The Global Index on Legal Recognition of Homosexual Orientation (GILRHO), is being developed by Kees Waaldijk at Leiden University, with the help of many others. It is work in progress, covering... Show moreThe Global Index on Legal Recognition of Homosexual Orientation (GILRHO), is being developed by Kees Waaldijk at Leiden University, with the help of many others. It is work in progress, covering all 200 currently-independent countries of the world for every year since 1961.In GILRHO, for each year, countries can be given index points for eight categories of laws: decriminalization (one point for legalization of sex between same-sex adults, and one for equalization of the age of consent), anti-discrimination legislation (one point for an explicit prohibition in the field of employment, and one for this in the field of goods and services), and couple recognition (one point for recognition of same-sex cohabitation, one for introduction of registered partnership, one for allowing adoption by same-sex partner(s), and one for opening up marriage to them). So a maximum of eight points, with a half point given if the relevant law is or was only applicable in part(s) of a country.A full description of the methodology of GILRHO, and an analysis of its interaction with GDP per capita, can be found in the open access article: MVL Badgett, K Waaldijk & Y van der Meulen Rodgers, ‘The relationship between LGBT inclusion and economic development: Macro-level evidence’ (120 World Development, August 2019, p. 1-14, https://www.sciencedirect.com/science/article/pii/S0305750X19300695). More information about the sources and construction of GILRHO is provided in the report: MVL Badgett, S Nezhad, K Waaldijk & Y van der Meulen Rodgers, The relationship between LGBT inclusion and economic development: An analysis of emerging economies (2014, Washington DC and Los Angeles, CA: USAID and The Williams Institute; https://williamsinstitute.law.ucla.edu/publications/lgbt-inclusion-economic-dev). A short explanation of GILRHO in Dutch, in relation to public opinion, can be found in the paper: K Waaldijk, ‘Van strafbaar tot huwbaar – homorecht wereldwijd’ (2015, https://hdl.handle.net/1887/37242).GILRHO has been developed on the basis of constantly improving versions of a footnoted legal dataset originally presented in the paper: K Waaldijk, ‘Legal recognition of homosexual orientation in the countries of the world’ (2009 conference The Global Arc of Justice at UCLA; Los Angeles, CA: The Williams Institute, http://hdl.handle.net/1887/14543). Since then the legal dataset has been expanded and corrected on the basis of many sources (including the annual reports on State-Sponsored Homophobia published since 2006 by ILGA (the International Lesbian Gay Bisexual Trans and Intersex Association, https://ilga.org/state-sponsored-homophobia-report). The legal dataset has not yet been published.Parts of the numerical index data of GILRHO (as they were by 2014) have now been published. First the provisional index data for 39 countries over the years 1980-2014 were published in the 2014 report by Badgett et al. (mentioned above, p. 60-61). And later the provisional index data for 132 countries for the years 1966-2011 have been published in the data file accompanying the 2019 article by Badgett et al. (mentioned above, spreadsheet in Appendix A, which also contains other data from other sources); this data file is also attached here. The published numerical index data of GILRHO and its underlying legal dataset are subject to further corrections and updates. Over the coming years, more comprehensive versions of GILRHO and of its legal dataset will be published. Show less
