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https://www.thermofisher.com/document-connect/document-connect.html?url=https://assets.thermofisher.com/TFS-Assets/LSG/manuals/zoom_dual_power_man.pdf&title=Wk9PTSUyNTIwRHVhbCUyNTIwUG93ZXI=

Two-in-one programmable power supple capable of handling high voltage/low current and high current/low voltage applications concurrently and independently. The high voltage/low current section is ideal for sample fractionation, IPG strips, IEF, and DNA sequencing applications while the low voltage/high current section is for SDS-PAGE, native PAGE, second-dimension SDS-PAGE, DNA/RNA electrophoresis, and blotting applications.

Proper citation: Thermo Fisher: Invitrogen: ZP10001 ZOOM Dual Power Supply (RRID:SCR_025298) Copy   

•   Source: SciCrunch Registry

https://chemometec.com/nucleocounters/nc-250/

Automated cell analyzer, which can characterize cell properties using fluorescence imaging. Offers optimized protocols to meet needs of all mammalian cell types grown under different conditions. Cell count can be performed even on cells growing on microcarriers and in sphere cultures. Performs high-speed cell count and viability determination and offers unique 5-minute Cell Cycle Assay and 1-minute Apoptosis Assay for up to eight samples at the time. The intuitive software has unlimited licenses and produces on-screen data analysis and automated PDF reports., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: ChemoMetec: NC-250 Automated Cell Analyzer (RRID:SCR_025290) Copy   

•   Source: SciCrunch Registry

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://www.acrobat.com/formscentral/en/

Service to create PDF and web forms.

Proper citation: Adobe FormsCentral (RRID:SCR_001729) Copy   

•   Source: SciCrunch Registry

http://www.mortality.org/

A database providing detailed mortality and population data to those interested in the history of human longevity. For each country, the database includes calculated death rates and life tables by age, time, and sex, along with all of the raw data (vital statistics, census counts, population estimates) used in computing these quantities. Data are presented in a variety of formats with regard to age groups and time periods. The main goal of the database is to document the longevity revolution of the modern era and to facilitate research into its causes and consequences. New data series is continually added to this collection. However, the database is limited by design to populations where death registration and census data are virtually complete, since this type of information is required for the uniform method used to reconstruct historical data series. As a result, the countries and areas included are relatively wealthy and for the most part highly industrialized. The database replaces an earlier NIA-funded project, known as the Berkeley Mortality Database. * Dates of Study: 1751-present * Study Features: Longitudinal, International * Sample Size: 37 countries or areas

Proper citation: Human Mortality Database (RRID:SCR_002370) Copy   

•   Source: SciCrunch Registry

https://simtk.org/home/feature

A suite of automated tools that examine biological molecules and produces useful representations of the key biophysical and biochemical features of these structures that are critical for understanding function. The utility of this system extends from medical / pharmaceutical applications (model-based drug design, comparing pharmacological activities) to industrial applications (understanding structural stability, protein engineering). The FEATURE code is made available, without too much support, to any interested scientists. Audience: Researchers interested in identifying functional sites in protein structures. Long Term Goals and Related Uses: Enable improved functional site prediction.

Proper citation: FEATURE (RRID:SCR_002648) Copy   

•   Source: SciCrunch Registry