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https://simtk.org/home/aspf

Scalable particle fluid simulation code for Lagrangian particle-based fluid simulation. This adaptive sampling strategy allows using smaller (and thus more) particles in geometrically complex regions, while less particles are used for thick flat fluid volumes. Additionally, a novel distance-based particle surface definition is implemented which hides the particle granularity and allows dynamic resampling near the fluid-air interface. The code is implemented in C++ and should compile on Linux.

Proper citation: Adaptively Sampled Particle Fluids (RRID:SCR_000083) Copy   

•   Source: SciCrunch Registry

http://orphelia.gobics.de/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 23,2022. A metagenomic open reading frame (ORF) finding tool for the prediction of protein coding genes in short, environmental DNA sequences with unknown phylogenetic origin. The resource is based on a two-stage machine learning approach that uses linear discriminants to extract features from the ORFs. An artificial neural network then combines the features and computes a gene probability for each ORF fragment.

Proper citation: Orphelia (RRID:SCR_000119) Copy   

•   Source: SciCrunch Registry

https://github.com/obophenotype/porifera-ontology

An ontology covering the anatomy of Porifera (sponges).

Proper citation: Porifera Ontology (RRID:SCR_000134) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/TEO

Ontology for representing events, time, and their relationships.

Proper citation: Time Event Ontology (RRID:SCR_000310) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/VARIO

An ontology for standardized, systematic description of effects, consequences and mechanisms of variations.

Proper citation: Variation Ontology (RRID:SCR_000311) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/SEDI

An ontology for DICOM as used in the SeDI project.

Proper citation: Semantic DICOM Ontology (RRID:SCR_000309) Copy   

•   Source: SciCrunch Registry

https://www.schrodinger.com/glide

Software package which approximates a complete search of the conformational, orientational, and positional space of the ligand in a given receptor. Used in drug development for predicting protein ligand binding modes and ranking ligands via high throughput virtual screening.

Proper citation: Glide (RRID:SCR_000187) Copy   

•   Source: SciCrunch Registry

https://bitbucket.org/dkessner/forqs

Software for forward-in-time population genetics simulation that tracks individual haplotype chunks as they recombine each generation. It also also models quantitative traits and selection on those traits.

Proper citation: forqs (RRID:SCR_000643) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/PHYLONT

Ontology for Phylogenetic Analysis

Proper citation: Phylogenetic Ontology (RRID:SCR_000912) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/BHO

An application ontology devoted to the standardized recording of phenotypic data related to hemorrhagic disorders.

Proper citation: Bleeding History Phenotype Ontology (RRID:SCR_001165) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/ATO

A taxonomy of Amphibia

Proper citation: Amphibian Taxonomy Ontology (RRID:SCR_000906) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/PATHLEX

A comprehensive lexicon - a unified language of anatomic pathology terms - for standardized indexing and retrieval of anatomic pathology information resources.

Proper citation: Anatomic Pathology Lexicon (RRID:SCR_000907) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/HIV

Ontology that encompasses all knowledge about HIV

Proper citation: HIV ontology (RRID:SCR_000908) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/ICD11-BODYSYSTEM

Ontology of a set of body-system terms used in the ICD (International Classification of Diseases) 11 revision

Proper citation: Body System Terms from ICD11 (RRID:SCR_001252) Copy   

•   Source: SciCrunch Registry

http://bmsr.usc.edu/software/pneuma/

A set of modules that are used to simulate the autoregulation of the cardiovascular and respiratory systems under conditions of changing sleep-wake state and a variety of physiological and pharmacological interventions. It models the dynamic interactions that take place among the various component mechanisms, including those involved in the chemical control of breathing, heart rate, and blood pressure, as well as the effects of changes in the sleep-wake state and arousal from sleep. PNEUMA includes the autonomic control of the cardiovascular system, chemoreflex and state-related control of breath-to-breath ventilation, state-related and chemoreflex control of upper airway potency, as well as respiratory and circulatory mechanics. The model is capable of simulating the cardiorespiratory responses to sleep onset, arousal, continuous positive airway pressure, the administration of inhaled carbon dioxide and oxygen, Valsalva and Mueller maneuvers, and Cheyne-Stokes respiration during sleep. In PNEUMA 3.0, we have extended the existing integrative model of respiratory, cardiovascular, and sleepwake state control, to incorporate a sub-model of glucoseinsulinfatty acid regulation. The extended model is capable of simulating the metabolic control of glucoseinsulin dynamics and its interactions with the autonomic nervous system. The interactions between autonomic and metabolic control include the circadian regulation of epinephrine secretion, epinephrine regulation on dynamic fluctuations in glucose and free fatty acids in plasma, metabolic coupling among tissues and organs mediated by insulin and epinephrine, as well as the effect of insulin on peripheral vascular sympathetic activity. This extended model represents a starting point from which further in silico investigations into the interaction between the autonomic nervous system and the metabolic control system can proceed. Features in PNEUMA 3.0 * Incorporates metabolic component based on prior models of glucose-insulin regulation and free fatty acid (FFA) regulation. * Changes in sympathetic activity from the autonomic portion of PNEUMA produce changes in epinephrine output, which in turn affects the metabolic sub-model. * Inputs from the dietary intake of glucose and external interventions, such as insulin injections, have also been incorporated. * Also incorporated is autonomic feedback from the metabolic component to the rest of PNEUMA: changes in insulin level lead to changes in sympathetic tone. System Requirements: PNEUMA requires Matlab R2007b or higher with the accompanying version of Simulink to be installed on your computer.

Proper citation: PNEUMA (RRID:SCR_001391) Copy   

•   Source: SciCrunch Registry

https://sourceforge.net/p/obo/mailman/message/59165700/

A structured controlled vocabulary of the anatomy of Drosophila melanogaster. These ontologies are query-able reference sources for information on Drosophila anatomy and developmental stages. They also provide controlled vocabularies for use in annotation and classification of data related to Drosophila anatomy, such as gene expression, phenotype and images. They were originally developed by FlyBase, who continue to maintain them and have used them for over 200,000 annotations of phenotypes and expression. Extensive use of synonyms means that, given a suitably sophisticated autocomplete, users can find relevant content by searching with almost any anatomical term they find in the literature. These ontologies are developed in the web ontology language OWL2. Their extensive formalization in OWL can be used to drive sophisticated query systems.

Proper citation: Drosophila anatomy and development ontologies (RRID:SCR_001607) Copy   

•   Source: SciCrunch Registry

http://www.informatics.jax.org/cookbook/

A book adapted for the Web on the anatomy of the laboratory mouse by Margaret J. Cook, 143 pages, M.R.C. Laboratory Animals Centre, Carshalton, Surrey, England. Academic Press 1965. Mouse Externals, Skeleton, Viscera and Circulatory System are covered.

Proper citation: Anatomy of the Laboratory Mouse (RRID:SCR_001509) Copy   

•   Source: SciCrunch Registry

https://wiki.phenoscape.org/wiki/Teleost_Anatomy_Ontology

A multi-species anatomy ontology for teleost fishes. It was originally seeded from ZFA, but covers terms relevant to other taxa. The TAO uses terms from the Common Anatomy Reference Ontology (CARO) as a template for its upper level nodes, and the Vertebrate Skeletal Anatomy Ontology (VSAO) for general skeletal anatomy classes. Growth of the TAO is enabled by contributions from data curators and the ichthyological community. The TAO can be browsed by using the NCBO BioPortal and data annotated using TAO terms can be queried using the Phenoscape Knowedgebase.

Proper citation: Teleost Anatomy Ontology (RRID:SCR_001610) Copy   

•   Source: SciCrunch Registry

http://neuro.imm.dtu.dk/wiki/Main_Page

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 10, 2025. Semantic wiki with structured information, primarily from functional and molecular neuroimaging papers, but there are also other types of papers, e.g., from personality genetics. It lists results from neuroimaging studies, such as Talairach coordinates and brain volume measurements, as well as software packages and brain regions. SQL dumps of the structured information in the wiki is available so complex queries can be formed. The Brede Wiki templates store the structured information from neuroscience papers and editors may add free format text. Template definitions format the data so it is presented as tables on the formatted wiki-page. From a given PMID a web-service can format information from PubMed for inclusion in the Brede Wiki. A Matlab script can extract coordinates from SPM5 and format them in the Talairach coordinate template format.

Proper citation: Brede Wiki (RRID:SCR_001411) Copy   

•   Source: SciCrunch Registry

https://github.com/vital-ai/vital-documentation/wiki/Vital-AI-Ontology

Ontology for the four consensus human vital signs: blood pressure, body temperature, respiration rate, pulse rate. It provides a controlled structured vocabulary for describing vital signs measurement data, the various processes of measuring vital signs, and the various devices and anatomical entities participating in such measurements.

Proper citation: Vital Signs Ontology (RRID:SCR_001422) Copy   

•   Source: SciCrunch Registry