Your access keys will be randomly generated. Your AWS login will be the same as your ConnectomeDB username. There will be a brief delay while ConnectomeDB communicates with our AWS bucket to establish permissions.ĪWS returns a set of credentials. Simply click on the "Data Available on Amazon S3" button to open a modal window to generate them. Creating AWS CredentialsĮach set of AWS credentials consists of three parts: a login, a public access key, and a secret access key. When new datasets are added to AWS, the only action you will need to take (if you already have AWS credentials) is to review and accept the data use terms for each new dataset. You will only need one set of credentials to access all datasets on AWS, but that access will be controlled by your acceptance of each dataset's data use terms. Each dataset that is available on AWS will have an icon in its dataset listing, as shown: HCP Datasets on AWSĪfter logging in to ConnectomeDB ( ), you will see a list of datasets that we are hosting. Information on setting up an AWS EC2 instance and processing is available here: EC2 Beginner Startup Advice. Amazon S3 can be used for cloud-based HCP data processing (Amazon charges users for compute cycles) or as an alternative to Aspera for download of HCP data at no cost to the user (Note: in most cases, downloading HCP data through Amazon S3 WILL NOT be faster than Aspera-driven data download through ConnectomeDB).
#Open amazon s3 browser how to
This tutorial will show you how to get a set of AWS credentials and connect to HCP data via Amazon S3. The Human Connectome Project is now making image data available to use directly with Amazon Web Services, without you having to download from ConnectomeDB or order Connectome in a Box drives.