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Name: DataLad datasets

Type: Organization

Bio: Collection of interesting open data resources in the form of DataLad datasets. If you want to help curating this collection, please get in touch.

Blog: http://datalad.org

DataLad datasets's Projects

bmmr-t1w-250um icon bmmr-t1w-250um

One of the world's highest resolution MR brain scans (250 microns)

disneyanimation-cloud icon disneyanimation-cloud

A large and highly detailed volumetric cloud data set, intended to be used for various purposes, including movie and game production as well as research.

disneyanimation-moana-island-scence icon disneyanimation-moana-island-scence

This data set contains everything necessary to render a version of the Motunui island featured in the 2016 film “Moana”. The scene represents some of the challenges we currently encounter in a typical production environment. Most notably it includes large amounts of geometry created through instancing as well as volumetric light transport.

hcp_mni_t1w icon hcp_mni_t1w

Structural T1 images in MNI space from the WU-Minn HCP1200 dataset. More info in README.

hcp_movies icon hcp_movies

This subset comprises subjects with movie data from the WU-Minn HCP1200 dataset, including the relevant 7T movie, 7T rest, and 3T T1w data. More info in README.

hcp_social_preprocessed icon hcp_social_preprocessed

Preprocessed working social congition task data from the WU-Minn HCP1200 dataset. More info in README.

hcp_wm_preprocessed icon hcp_wm_preprocessed

Preprocessed working memory task data from the WU-Minn HCP1200 dataset. More info in README.

human-connectome-project-openaccess icon human-connectome-project-openaccess

WU-Minn HCP1200 Data: 3T/7T MR scans from young healthy adults twins and non-twin siblings (ages 22-35) [T1w, T2w, resting-state and task fMRI, high angular resolution dMRI]

longnow-podcasts icon longnow-podcasts

Audio recordings of all lectures and conversations on long-term thinking produced by the LongNow foundation. Subscribe to the podcasts at http://longnow.org/seminars/podcast. Support the foundation by becoming a member: https://longnow.org/membership.

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