Interface to 'Amazon Web Services' cost management services,
    including cost and usage reports, budgets, pricing, and more
    <https://aws.amazon.com/>.

Interface to 'Amazon Web Services' customer engagement
    services, including 'Simple Email Service', 'Connect' contact center
    service, and more <https://aws.amazon.com/>.

Interface to 'Amazon Web Services' database services,
    including 'Relational Database Service' ('RDS'), 'DynamoDB' 'NoSQL'
    database, and more <https://aws.amazon.com/>.

Interface to 'Amazon Web Services' developer tools services,
    including version control, continuous integration and deployment, and
    more <https://aws.amazon.com/products/developer-tools/>.

Interface to 'Amazon Web Services' end user computing
    services, including collaborative document editing, mobile intranet,
    and more <https://aws.amazon.com/>.

Interface to 'Amazon Web Services' machine learning services,
    including 'SageMaker' managed machine learning service, natural
    language processing, speech recognition, translation, and more
    <https://aws.amazon.com/machine-learning/>.

Interface to 'Amazon Web Services' management and governance
    services, including 'CloudWatch' application and infrastructure
    monitoring, 'Auto Scaling' for automatically scaling resources, and
    more <https://aws.amazon.com/>.

Interface to 'Amazon Web Services' networking and content
    delivery services, including 'Route 53' Domain Name System service,
    'CloudFront' content delivery, load balancing, and more
    <https://aws.amazon.com/>.

Interface to 'Amazon Web Services' security, identity, and
    compliance services, including the 'Identity & Access Management'
    ('IAM') service for managing access to services and resources, and
    more <https://aws.amazon.com/>.

Interface to 'Amazon Web Services' storage services,
    including 'Simple Storage Service' ('S3') and more
    <https://aws.amazon.com/>.

Automated pain scoring from paw withdrawal tracking data. Based on
             Jones et al. (2020) "A machine-vision approach for automated pain
             measurement at millisecond timescales" <doi:10.7554/eLife.57258>.