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D-PLACE contains cultural, linguistic, environmental and geographic information for over 1400 human ‘societies’. A ‘society’ in D-PLACE represents a group of people in a particular locality, who often share a language and cultural identity. All cultural descriptions are tagged with the date to which they refer and with the ethnographic sources that provided the descriptions. The majority of the cultural descriptions in D-PLACE are based on ethnographic work carried out in the 19th and early-20th centuries (pre-1950).
DBpedia is a crowd-sourced community effort to extract structured information from Wikipedia and make this information available on the Web. DBpedia allows you to ask sophisticated queries against Wikipedia, and to link the different data sets on the Web to Wikipedia data. We hope that this work will make it easier for the huge amount of information in Wikipedia to be used in some new interesting ways. Furthermore, it might inspire new mechanisms for navigating, linking, and improving the encyclopedia itself.
ANPERSANA is the digital library of IKER (UMR 5478), a research centre specialized in Basque language and texts. The online library platform receives and disseminates primary sources of data issued from research in Basque language and culture. As of today, two corpora of documents have been published. The first one, is a collection of private letters written in an 18th century variety of Basque, documented in and transcribed to modern standard Basque. The discovery of the collection, named Le Dauphin, has enabled the emerging of new questions about the history and sociology of writing in the domain of minority languages, not only in France, but also among the whole Atlantic Arc. The second of the two corpora is a selection of sound recordings about monodic chant in the Basque Country. The documents were collected as part of a PhD thesis research work that took place between 2003 and 2012. It's a total of 50 hours of interviews with francophone and bascophone cultural representatives carried out at either their workplace of the informers or in public areas. ANPERSANA is bundled with an advanced search engine. The documents have been indexed and geo-localized on an interactive map. The platform is engaged with open access and all the resources can be uploaded freely under the different Creative Commons (CC) licenses.
The Humanitarian Data Exchange (HDX) is an open platform for sharing data across crises and organisations. Launched in July 2014, the goal of HDX is to make humanitarian data easy to find and use for analysis. HDX is managed by OCHA's Centre for Humanitarian Data, which is located in The Hague. OCHA is part of the United Nations Secretariat and is responsible for bringing together humanitarian actors to ensure a coherent response to emergencies. The HDX team includes OCHA staff and a number of consultants who are based in North America, Europe and Africa.
The Artstor Digital Library is a nonprofit resource that provides more than one million digital images in the arts, architecture, humanities, and sciences with an accessible suite of software tools for teaching and research. Its community-built collections comprise contributions from outstanding international museums, photographers, libraries, scholars, photo archives, and artists and artists' estates.
Data.gov increases the ability of the public to easily find, download, and use datasets that are generated and held by the Federal Government. Data.gov provides descriptions of the Federal datasets (metadata), information about how to access the datasets, and tools that leverage government datasets
This is the KONECT project, a project in the area of network science with the goal to collect network datasets, analyse them, and make available all analyses online. KONECT stands for Koblenz Network Collection, as the project has roots at the University of Koblenz–Landau in Germany. All source code is made available as Free Software, and includes a network analysis toolbox for GNU Octave, a network extraction library, as well as code to generate these web pages, including all statistics and plots. KONECT contains over a hundred network datasets of various types, including directed, undirected, bipartite, weighted, unweighted, signed and rating networks. The networks of KONECT are collected from many diverse areas such as social networks, hyperlink networks, authorship networks, physical networks, interaction networks and communication networks. The KONECT project has developed network analysis tools which are used to compute network statistics, to draw plots and to implement various link prediction algorithms. The result of these analyses are presented on these pages. Whenever we are allowed to do so, we provide a download of the networks.