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As a member of SWE-CLARIN, the Humanities Lab will provide tools and expertise related to language archiving, corpus and (meta)data management, with a continued emphasis on multimodal corpora, many of which contain Swedish resources, but also other (often endangered) languages, multilingual or learner corpora. As a CLARIN K-centre we provide advice on multimodal and sensor-based methods, including EEG, eye-tracking, articulography, virtual reality, motion capture, av-recording. Current work targets automatic data retrieval from multimodal data sets, as well as the linking of measurement data (e.g. EEG, fMRI) or geo-demographic data (GIS, GPS) to language data (audio, video, text, annotations). We also provide assistance with speech and language technology related matters to various projects. A primary resource in the Lab is The Humanities Lab corpus server, containing a varied set of multimodal language corpora with standardised metadata and linked layers of annotations and other resources.
<<<!!!<<< In November 2023 the Donders Repository was merged with the Radboud Data Repository: https://www.re3data.org/repository/r3d100013607. Researchers should now use the RDR at https://data.ru.nl instead of the Donders Repository (https://data.donders.ru.nl). All datasets of the Donders Repository are findable on the web portal of the RDR, and the Donders Repository URLs redirect to the RDR web portal. >>>!!!>>> The repository of the Donders Institute for Brain, Cognition and Behaviour at the Radboud University was used to manage, share and publish neuroscience and neuroimaging data, including MRI, EEG, MEG and other types of research data.
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The version 1.0 of the open database contains 1,151,268 brain signals of 2 seconds each, captured with the stimulus of seeing a digit (from 0 to 9) and thinking about it, over the course of almost 2 years between 2014 & 2015, from a single Test Subject David Vivancos. All the signals have been captured using commercial EEGs (not medical grade), NeuroSky MindWave, Emotiv EPOC, Interaxon Muse & Emotiv Insight, covering a total of 19 Brain (10/20) locations. In 2014 started capturing brain signals and released the first versions of the "MNIST" of brain digits, and in 2018 released another open dataset with a subset of the "IMAGENET" of The Brain. Version 0.05 (last update 09/28/2021) of the open database contains 24,000 brain signals of 2 seconds each, captured with the stimulus of seeing a real MNIST digit (from 0 to 9) 6,000 so far and thinking about it, + the same amout of signals with another 2 seconds of seeing a black screen, shown in between the digits, from a single Test Subject David Vivancos in a controlled still experiment to reduce noise from EMG & avoiding blinks.
The National Institute of Mental Health Data Archive (NDA) makes available human subjects data collected from hundreds of research projects across many scientific domains. The NDA provides infrastructure for sharing research data, tools, methods, and analyses enabling collaborative science and discovery. De-identified human subjects data, harmonized to a common standard, are available to qualified researchers. Summary data is available to all. The primary point of entry to the NDA is currently through the National Database for Autism Research (NDAR) website, which serves the autism research community. All NDA repositories can be accessed through this website for data contribution and querying with other scientific communities, allowing for aggregation and secondary analysis of data.
!!! >>> integrated in https://www.re3data.org/repository/r3d100012653 <<< !!! The National Database for Clinical Trials Related to Mental Illness (NDCT) is an informatics platform for the sharing of human subjects data from all clinical trials funded by the National Institute of Mental Health (NIMH).
!!! >>> merged with https://www.re3data.org/repository/r3d100012653 <<< !!! RDoCdb is an informatics platform for the sharing of human subjects data generated by investigators as part of the NIMH's Research Domain Criteria initiative, and to support this initiative's aims. It also accepts and shares appropriate data related to mental health from other sources.