
Sold by: Siddharth Samsi
Open data
|
Deployed on AWS
Collection of parsed datacenter logs and time series data of hardware utilization from the MIT Supercloud system.
Overview
Collection of parsed datacenter logs and time series data of hardware utilization from the MIT Supercloud system.
Features and programs
Open Data Sponsorship Program
This dataset is part of the Open Data Sponsorship Program, an AWS program that covers the cost of storage for publicly available high-value cloud-optimized datasets.
Pricing
This is a publicly available data set. No subscription is required.
How can we make this page better?
Tell us how we can improve this page, or report an issue with this product.
Legal
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Open data resources
Available with or without an AWS account.
- How to use
- To access these resources, reference the Amazon Resource Name (ARN) using the AWS Command Line Interface (CLI). Learn more
- Description
- The MIT Supercloud Dataset
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:::mit-supercloud-dataset
- AWS region
- us-west-2
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://mit-supercloud-dataset/
Resources
Vendor resources
Support
Contact
Managed By
Siddharth Samsi
How to cite
The MIT Supercloud Dataset was accessed on DATE from https://registry.opendata.aws/dcc .
Similar products

MIMIC-III (‘Medical Information Mart for Intensive Care’) is a large,
single-center database comprising information relating to patients
admitted to critical care units at a large tertiary care hospital.
Data includes vital signs, medications, laboratory measurements,
observations and notes charted by care providers, fluid balance,
procedure codes, diagnostic codes, imaging reports, hospital length
of stay, survival data, and more. The database supports applications
including academic and industrial research, quality improvement initiatives,
and higher education coursework. The MIMIC-III dataset is freely-available.
Researchers seeking to use the database must formally request access. For details, see
the getting started page. Once you
have a PhysioNet account, you must enable access to the MIMIC-III dataset from your
AWS account. To do this, please input your AWS account number

This is the data used to train the Boltz-1 model. It contains the following datasets:
Our pre-processed version of the Protein Data Bank
Our pre-processed version of the multiple sequence alignment data for each protein chain
The raw multiple sequence alginment data.
A pre-computed symmetry file for symmetry correction during training

Professional Services and Managed IT Services to ensure a seamless implementation of the M Cloud ERP Solution.

Premium Level Technical Support & Maintenance of the MiT Systems M Cloud ERP solution and AWS hosting environment.