Sold by: Whiffle
Open data
|
Deployed on AWS
Large Eddy Simulation (LES) data of the Winds of the North Sea in 2050 (WINS50) project.
Overview
Large Eddy Simulation (LES) data of the Winds of the North Sea in 2050 (WINS50) project.
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.
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
- Whiffle WINS50 LES Data
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:::whiffle-wins50-data
- AWS region
- eu-central-1
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://whiffle-wins50-data/
Resources
Vendor resources
Support
Contact
Managed By
How to cite
Whiffle WINS50 Open Data on AWS was accessed on DATE from https://registry.opendata.aws/whiffle-wins50 .
License
CC BY-SA 4.0
Similar products
14k QA pairs over 1.7K paragraphs, split between train (10k QAs), development (1.6k QAs) and a hidden test partition (1.7k QAs).
The BraiDyn-BC (Brain Dynamics underlying emergence of Behavioral Change) Database offers an extensive, multimodal dataset that links
wide-field calcium imaging of the mouse neocortex to comprehensive behavioral measurements during a behavioral task.
As one of the contents in this database, we newly provide a dataset that includes 15 sessions spanning two weeks of motor skill learning,
in which 25 mice were trained to pull a lever to obtain water rewards.
Simultaneous high-speed videography captures body, facial, and eye movements, and environmental parameters are monitored.
The dataset also features resting-state cortical activity and sensory-evoked responses, enhancing its utility for both learning-related and
sensory-driven neural dynamics studies.
Data are formatted in accordance with the Neurodata Without Borders (NWB) standard, ensuring compatibility with existing analysis tools and
adherence to the FAIR principles.
This resource enables in-depth investigations into the neu[...]
VitalDB, a high-fidelity multi-parameter vital signs database in surgical patients.
Tabula Muris is a compendium of single cell transcriptomic data from the model organism Mus musculus comprising more than 100,000 cells from 20 organs and tissues. These data represent a new resource for cell biology, reveal gene expression in poorly characterized cell populations, and allow for direct and controlled comparison of gene expression in cell types shared between tissues, such as T-lymphocytes and endothelial cells from different anatomical locations. Two distinct technical approaches were used for most organs: one approach, microfluidic droplet-based 3’-end counting, enabled the survey of thousands of cells at relatively low coverage, while the other, FACS-based full length transcript analysis, enabled characterization of cell types with high sensitivity and coverage. The cumulative data provide the foundation for an atlas of transcriptomic cell biology. See: https://www.nature.com/articles/s41586-018-0590-4