ito

Therapeutics Data Commons: 66 AI-ready datasets across 22 drug discovery tasks with 29 leaderboards, covering target identification, molecular generation, ADMET prediction, and clinical trial outcomes (Harvard MIMS, NeurIPS 2021/2024)

This ontology models classes and relationships describing deep learning networks, their component layers and activation functions, as well as potential biases.

MathModDB is a database of mathematical models developed by the Mathematical Research Data Initiative (MaRDI). MathModDB defines a data model with classes (Mathematical Model, Mathematical Formulation, Research Field, Research Problem, Quantity [Kind], Computational Task, Publication), object properties/relations, data properties and annotation properties as an ontology. This ontology is populated with individuals/data from various fields of applied mathematics, making it a knowledge graph. [from homepage]

A set of tools for interacting with the Food-Biomarker Ontology (FOBI). A collection of basic manipulation tools for biological significance analysis, graphs, and text mining strategies for annotating nutritional data.

SSTIM is an open OWL and SKOS vocabulary for sensory stimulation. It mints identifiers for stimulation techniques, stimuli and their parameters, delivery media and body placements, exposure and safety boundaries, session records, and the evidence assessments attached to a claim. It exists so that auditory, visual, tactile and cross-modal stimulation protocols can be described and exchanged in one vocabulary instead of per-study prose, and it is used by researchers, tool builders and the W3C Sensory Stimulation Vocabulary Community Group.