Datasets

HCP Data(https://www.humanconnectome.org/)

Research into the Human Connectome has exploded since the original Human Connectome Project grants were awarded by the NIH in 2011. Over the next decade, we expect to see dozens of new projects at institutions around the world researching aspects of how age, growth, disease, and other factors can affect the ever-changing connections in the human brain.

The Connectome Coordination Facility (CCF) has been chartered to help coordinate these myriad research projects, harmonize their data, and facilitate the distribution and dissemination of results.

The CCF has three primary aims:

1.Run a “data acquisition help desk,” to facilitate in the collection of HCP-style data for optimal comparability. 2.Maintain and expand the HCP informatics infrastructure, to host and distribute connectome data from multiple studies on ConnectomeDB and Amazon Web Services. 3.Serve as a “harmonization center,” to make data from multiple studies and institutions as comparable as possible.

ADNI (http://adni.loni.usc.edu/)

The Alzheimer’s Disease Neuroimaging Initiative (ADNI) is a longitudinal multicenter study designed to develop clinical, imaging, genetic, and biochemical biomarkers for the early detection and tracking of Alzheimer’s disease (AD). Since its launch more than a decade ago, the landmark public-private partnership has made major contributions to AD research, enabling the sharing of data between researchers around the world.

Three overarching goals of the ADNI study are: To detect AD at the earliest possible stage (pre-dementia) and identify ways to track the disease’s progression with biomarkers. To support advances in AD intervention, prevention, and treatment through the application of new diagnostic methods at the earliest possible stages (when intervention may be most effective). To continually administer ADNI’s innovative data-access policy, which provides all data without embargo to all scientists in the world.

OpenfMRI(http://openfmri.org/)

The OpenfMRI project is managed by the Poldrack Lab and Center for Reproducible Neuroscience at Stanford University, with computing resources provided by the Texas Advanced Computing Center and Amazon.com . It is funded by grants from the National Science Foundation, National Institute for Drug Abuse, and Laura and John Arnold Foundation.

NDAR data(https://nda.nih.gov/)

The National Institute of Mental Health Data Archive (NDA) makes available human subjects data collected from hundreds of research projects across many scientific domains. 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 are available to all.

The NDA mission is to accelerate scientific research and discovery through data sharing, data harmonization, and the reporting of research results.

INDI data(http://fcon_1000.projects.nitrc.org/)

The International Neuroimaging Data-sharing Initiative (INDI) and 1000 Functional Connectomes Project (FCP).This bucket contains multiple neuroimaging datasets that are part of the International Neuroimaging Data-Sharing Initiative. Raw human and non-human primate neuroimaging data include 1) Structural MRI; 2) Functional MRI; 3) Diffusion Tensor Imaging; 4) Electroencephalogram (EEG) In addition to the raw data, preprocessed data is also included for some datasets. A complete list of the available datasets can be seen in the documentation lonk provided below.Each dataset within INDI has its own release schedule. See release date and frequency for each dataset