Hallow is the #1 Catholic prayer and meditation app, offering a vast library of prayers, meditations, and music. It provides guided prayer experiences and a community to support users in building a regular prayer habit. The app is designed to help users find peace and connect with God.
Hallow aims to make prayer accessible and engaging for Catholics and those interested in spiritual growth. It offers a personalized experience with a variety of prayer options, including guided meditations, reflections, and music. The app also includes features to help users set reminders and track their prayer goals, fostering a deeper connection with their faith.
The iBVP dataset is a collection of synchronized RGB and thermal infrared videos with PPG ground-truth signals acquired from an ear. It includes manual signal quality labels and dense signal-quality assessment using the SQA-PhysMD model. The dataset is designed to induce real-world variations in psycho-physiological states and head movement.
Psych-101 is a dataset of natural language transcripts from human psychological experiments, comprising trial-by-trial data from 160 experiments and 60,092 participants, making 10,681,650 choices. It provides valuable insights into human decision-making processes and is available under the Apache License 2.0.
This dataset contains survey responses from individuals in the tech industry about their mental health, including questions about treatment, workplace resources, and attitudes towards discussing mental health in the workplace. By analyzing this dataset, we can better understand how prevalent mental health issues are among those who work in the tech sector—and what kinds of resources they rely upon to find help—so that more can be done to create a healthier working environment for all.