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http://www.dartmouth.edu/~nir/nirfast/

Software package for modeling Near-Infrared light transport in tissue and image reconstruction. This includes: Standard single wavelength absorption and reduced scatter, Multi-wavelength spectrally constrained models and Fluorescence models.

Proper citation: Nirfast (RRID:SCR_002503) Copy   

•   Source: SciCrunch Registry

http://www.cognitiveatlas.org/

Knowledge base (or ontology) that characterizes the state of current thought in cognitive science that captures knowledge from users with expertise in psychology, cognitive science, and neuroscience. There are two basic kinds of knowledge in the knowledge base. Terms provide definitions and properties for individual concepts and tasks. Assertions describe relations between terms in the same way that a sentence describes relations between parts of speech. The goal is to develop a knowledge base that will support annotation of data in databases, as well as supporting improved discourse in the community. It is open to all interested researchers. A fundamental feature of the knowledge base is the desire and ability to capture not just agreement but also disagreement regarding definitions and assertions. Thus, if you see a definition or assertion that you disagree with, then you can assert and describe your disagreement. The project is led by Russell Poldrack, Professor of Psychology and Neurobiology at the University of Texas at Austin in collaboration with the UCLA Center for Computational Biology (A. Toga, PI) and UCLA Consortium for Neuropsychiatric Phenomics (R. Bilder, PI). Most tasks used in cognitive psychology research are not identical across different laboratories or even within the same laboratory over time. A major advantage of anchoring cognitive ontologies to the measurement level is that the strategy for determining changes in task properties is easier than tracking changes in concept definitions and usage. The process is easier because task parameters are usually (if not always) operationalized objectively, offering a clear basis to judge divergence in methods. The process is also easier because most tasks are based on prior tasks, and thus can more readily be considered descendants in a phylogenetic sense.

Proper citation: Cognitive Atlas (RRID:SCR_002793) Copy   

•   Source: SciCrunch Registry

http://berkeleybop.org/pkb/

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. This interface is for exploring data collected as part of the NIF Neurodegenerative Disease Ontology project. Not generally intended for public consumption yet, but people are welcome to look - large caveat emptor applies. Sponsors: This resource is part of the NIF project.

Proper citation: OBD-PKB Interface (RRID:SCR_002882) Copy   

•   Source: SciCrunch Registry

http://code.google.com/p/biocaster-ontology/

A multilingual application ontology aimed at the early detection of public health events in the media. It aims to describe the terms and relations necessary to detect and risk assess public health events in the grey literature at an early stage; and bridge the gap between the (multilingual) grey literature and existing standards in biomedicine. The BCO focuses on the usage of terms and relations within informal unstructured reports which are often made at a pre-diagnostic stage of a disease outbreak by non-medically trained reporters. This is done to provide monitoring and early warning about public health hazards from online media reports.

Proper citation: BioCaster Ontology (RRID:SCR_003122) Copy   

•   Source: SciCrunch Registry

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

An ontology that describes the LIPIDMAPS nomenclature classification explicitly using description logics (OWL-DL). Lipid classes are organized hierarchically with the super-classes restricted by generic necessary conditions. More specific necessary conditions are used to define membership requirements for sub classes of lipid according to appropriate functional groups. Lipid research is increasingly integrated within systems level biology such as lipidomics where lipid classification is required before appropriate annotation of chemical functions can be applied.

Proper citation: Lipid Ontology (RRID:SCR_003349) Copy   

•   Source: SciCrunch Registry

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

A structured controlled vocabulary for the phenotypes of Ascomycete fungi.

Proper citation: Ascomycete Phenotype Ontology (RRID:SCR_003254) Copy   

•   Source: SciCrunch Registry

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

An ontology designed to represent the variety of methods used to make qualitative and quantitative clinical and phenotype measurements both in the clinic and with model organisms.

Proper citation: Measurement Method Ontology (RRID:SCR_003373) Copy   

•   Source: SciCrunch Registry

http://code.google.com/p/bcgo-ontology/

An application ontology built for the Beta Cell Genomics database aiming to support database annotation, complicated semantic queries, and automated cell type classification. The ontology is developed using Basic Formal Ontology (BFO) as upper ontology, Ontology for Biomedical Investigations (OBI) as ontology framework and integrated subsets of multiple OBO Foundry (candidate) ontologies. Current the BCGO contains 2383 classes including terms referencing to 24 various OBO Foundry ontologies including CL, CLO, UBERON, GO, PRO, UO, etc.

Proper citation: Beta Cell Genomics Ontology (RRID:SCR_003259) Copy   

•   Source: SciCrunch Registry

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

An application ontology to cover all aspects of malaria (clinical, epidemiological, biological, etc) as well as the intervention attempts to control it, extending the infectious disease ontology (IDO).

Proper citation: Malaria Ontology (RRID:SCR_003369) Copy   

•   Source: SciCrunch Registry

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

An ontology of minimal set of terms for anatomy.

Proper citation: Minimal Anatomical Terminology (RRID:SCR_003385) Copy   

•   Source: SciCrunch Registry

http://code.google.com/p/bco/

Ontology developed as an application ontology as part of the Biocode Commons project whose goal is to support the interoperability of biodiversity data, including data on museum collections, environmental and metagenomic samples, and ecological surveys. It includes consideration of the distinctions between individuals, organisms, voucher specimens, lots, and samples the relations between these entities, and processes governing the creation and use of samples. Within scope as well are properties including collector, location, time, storage environment, containers, institution, and collection identifiers.

Proper citation: Biological Collections Ontology (RRID:SCR_003262) Copy   

•   Source: SciCrunch Registry

http://www.bioontology.org/wiki/index.php/CARO:Main_Page

An ontology developed to facilitate interoperability between existing anatomy ontologies for different species, and to provide a template for building new anatomy ontologies.

Proper citation: Common Anatomy Reference Ontology (RRID:SCR_003296) Copy   

•   Source: SciCrunch Registry

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

An ontology designed to be used to standardize morphological and physiological measurement records generated from clinical and model organism research and health programs.

Proper citation: Clinical Measurement Ontology (RRID:SCR_003291) Copy   

•   Source: SciCrunch Registry

https://github.com/rsc-ontologies/rsc-cmo

An ontology that describes methods used to collect data in chemical experiments, such as mass spectrometry and electron microscopy; preparing and separating material for further analysis, such as sample ionization, chromatography, and electrophoresis; and synthesizing materials, such as epitaxy and continuous vapor deposition. It also describes the instruments used in these experiments, such as mass spectrometers and chromatography columns. It is intended to be complementary to the Ontology for Biomedical Investigations (OBI).

Proper citation: Chemical Methods Ontology (RRID:SCR_003286) Copy   

•   Source: SciCrunch Registry

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

A formal ontology of phenotypes observed in fission yeast that is being developed to support the comprehensive and detailed representation of phenotypes in PomBase, the online fission yeast resource. Its scope is similar to that of the Ascomycete Phenotype Ontology (APO), but FYPO includes more detailed pre-composed terms as well as computable definitions.

Proper citation: Fission Yeast Phenotype Ontology (RRID:SCR_003315) Copy   

•   Source: SciCrunch Registry

https://www.labservis.com/en/cobas_8000_analyzer_series_e602

Immunochemistry analyzer as mid-volume throughput immunochemistry module that performs broad range of heterogeneous immunoassay tests using ElectroChemiLuminescence (ECL) technology. Offers Heterogeneous immunoassays, Throughput of up to 170 tests/hour, 25 reagent positions, Reagent cassette loading/unloading during standby, Carryover-free disposable tips, Clot and air bubble detection.

Proper citation: Roche: cobas e 602 analytical unit (RRID:SCR_026640) Copy   

•   Source: SciCrunch Registry

https://biobox.io/

Platform to help scientists organize all biological knowledge into singular, unified resource that is searchable, accessible and capable of answering the most difficult questions in science. Used for bioinformatics analysis.

Proper citation: BioBox (RRID:SCR_026642) Copy   

•   Source: SciCrunch Registry

https://www.corelaboratory.abbott/us/en/offerings/brands/architect/architect-i2000SR.html

Analyzer offers maximum throughput of up to 200 tests per hour. Featuring load-up capacity of 135 samples with 35 priority and 100 routine areas. Has 25 refrigerated reagent positions. Designed for efficient and accurate analysis of various biological samples, including serum, plasma, and other bodily fluids.

Proper citation: Abbott: ARCHITECT i2000SR immunoassay analyzer (RRID:SCR_026638) Copy   

•   Source: SciCrunch Registry

https://www.agilent.com/en/product/cell-analysis/real-time-cell-metabolic-analysis/xf-analyzers/seahorse-xf-pro-analyzer-1980223?Product_Interest_Source=Marketing%20Campaign&source=Marketing%20Campaign&Lead_Campaign_Source=7015Y000003dRP4QAM&Campaign_Source=7015Y000003dRP4QAM&gad_source=1&gclid=Cj0KCQjwna6_BhCbARIsALId2Z3FeXTy8xavZm2HteJhWfj_gvyV9m490sjaBA3tyImLsLRcYPCBxDoaAi95EALw_wcB&gclsrc=aw.ds

Agilent Seahorse XF Pro analyzer measures and reports the oxygen consumption rate (OCR), proton efflux rate (PER) or extracellular acidification rate (ECAR), as well as ATP production rates of live cells in a 96-well format. This analyzer features excellent OCR precision at low rates, verified performance, optimized temperature control, and is automation enabled. The XF Pro analyzer is also equipped with advanced software, standardized workflows, and advanced data analytics available in the Agilent Seahorse Analytics software. These features greatly simplify the entire XF assay experience, from assay design to data QC and interpretation.

Proper citation: Agilent: Seahorse XF Pro Analyzer (RRID:SCR_026694) Copy   

•   Source: SciCrunch Registry

https://www.leica-microsystems.com/products/light-microscopes/p/dmi8/

Leica DMi8 microscope is an inverted light microscope, intended as a general microscope for routine examinations of biological specimens.

Proper citation: Leica: DMi8 Inverted Microscope (RRID:SCR_026672) Copy   

•   Source: SciCrunch Registry