Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
http://purl.bioontology.org/ontology/ICD9CM
Ontology of the international standard diagnostic classification for all general epidemiological, many health management purposes and clinical use.
Proper citation: International Classification of Diseases Version 9 - Clinical Modification (RRID:SCR_010104) Copy
http://purl.bioontology.org/ontology/ICECI
A system of classifications to enable systematic description of how injuries occur. It is designed especially to assist injury prevention. It was originally designed for use in settings in which information is recorded in a way that allows statistical reporting--for example, injury surveillance based on collection of information about cases attending a sample of hospital emergency departments. It has also been found useful for other purposes. For example, it has been used as a reference classification during revision of another classification, to record risk-factor exposure of children in a cohort study, as the basis for special-purpose classifications and in a growing number of other ways.
Proper citation: International Classification of External Causes of Injuries (RRID:SCR_010348) Copy
http://purl.bioontology.org/ontology/ICD10CM
Ontology of the International Classification of Diseases, 10th Edition, Clinical Modification, 2011_01
Proper citation: International Classification of Diseases Version 10 - Clinical Modification (RRID:SCR_010350) Copy
http://purl.bioontology.org/ontology/ZEA
THIS RESOURCE IS NO LONGER IN SERVICE, documented on April 23, 2014. Description not available.
Proper citation: Maize Gross Anatomy Ontology (RRID:SCR_010353) Copy
http://purl.bioontology.org/ontology/MHC
Ontology that contains terms necessary for describing and categorizing concepts related to Major Histocompatibility Complex, in general, for a number of model species, and also for humans.
Proper citation: Major Histocompatibility Complex Ontology (RRID:SCR_010354) Copy
http://purl.bioontology.org/ontology/FBbi
A structured controlled vocabulary of sample preparation, visualization and imaging methods used in biomedical research.
Proper citation: Biological Imaging Methods Ontology (RRID:SCR_010235) Copy
http://purl.bioontology.org/ontology/ICF
A classification of health and health-related domains. These domains are classified from body, individual and societal perspectives by means of two lists: a list of body functions and structure, and a list of domains of activity and participation. Since an individual''s functioning and disability occurs in a context, the ICF also includes a list of environmental factors.
Proper citation: International Classification of Functioning Disability and Health (RRID:SCR_010239) Copy
http://purl.bioontology.org/ontology/MCCV
Structured controlled vocabulary for describing meta information of microbial calture collection maintained in biological research centers
Proper citation: Microbial Culture Collection Vocabulary (RRID:SCR_010361) Copy
http://purl.bioontology.org/ontology/MIXS
Ontology providing an RDF representation of the MIxS (Minimal Information about any Sequence) family of checklists.
Proper citation: Minimal Information about any Sequence Ontology (RRID:SCR_010364) Copy
http://purl.bioontology.org/ontology/NIFDYS
Ontology that contains the former BIRNLex-Disease, version 1.3.2. -- The BIRN Project lexicon provided entities for data and database annotation for the BIRN project, covering anatomy, disease, data collection, project management and experimental design. It was built using the organizational framework provided by the foundational Basic Formal Ontology (BFO). It used an abstract biomedical layer on top of that - OBO-UBO which was constructed as a proposal to the OBO Foundry. This was meant to support creating a sharable view of core biomedical objects such as biomaterial_entity, and organismal_entity that all biomedical ontologies are likely to need and want to use with the same intended meaning. The BIRNLex biomaterial entities have already been factored to separately maintained ontology - BIRNLexBiomaterialEntity.owl which this BIRNLex-Main.owl file imports. The Ontology of Biomedical Investigation (OBI) is also imported and forms the foundation for the formal description of all experiment-related artifacts. The BIRNLex will serve as the basis for construction of a formal ontology for the multiscale investigation of neurological disease.
Proper citation: NIF Dysfunction Ontlogy (RRID:SCR_010365) Copy
http://purl.bioontology.org/ontology/CANONT
Upper-level ontology for cancer.
Proper citation: Upper-Level Cancer Ontology (RRID:SCR_010443) Copy
http://purl.bioontology.org/ontology/WSIO
Ontology that enables automated interaction with more complex Web services that are typical for example within life sciences. WSIO is however independent of the application domain and relevant for both SOAP and REST Web services, and for batch execution engines in general. If the interaction scenario with a Web service is nontrivial (and incorporates session handling), annotation with WSIO concepts will enable automatic generation of client programs, scripts, or interactive applications with a graphical user interface. WSIO also enables automation of different ways of data transfer and data un-/compression or en-/decoding. They strongly discourage providers from developing complex interaction and data-transfer/compression scenarios, however when needed, WSIO may enable smooth automated interaction with them. Future versions will support more interaction scenarios. WSIO aims to serve also as a means to standardise the complex interaction scenarios primarily within both SOAP and REST Web services, and secondarily to apply also to batch execution infrastructure in general.
Proper citation: Web-Service Interaction Ontology (RRID:SCR_010448) Copy
http://purl.bioontology.org/ontology/CO-WHEAT
Ontology that defines traits of the International Wheat Information System (IWIS) database and wheat descriptor.
Proper citation: Wheat Trait Ontology (RRID:SCR_010449) Copy
http://purl.bioontology.org/ontology/XEO
Ontology to help plant scientists in documenting and sharing metadata describing the abiotic environment.
Proper citation: XEML Environment Ontology (RRID:SCR_010450) Copy
http://purl.bioontology.org/ontology/SITBAC
Ontology of context-based healthcare access-control policies.
Proper citation: Situation-Based Access Control Ontology (RRID:SCR_010429) Copy
http://purl.bioontology.org/ontology/ONSTR
Application ontology covering the domain of newborn screening, follow-up and translational research pertaining to patients diagnosed with inheritable and congenital diseases mainly identified through newborn dried blood spot screening. ONSTR is a central component of the project Newborn Screening Follow-up Data Integration Collaborative (NBSDC), https://nbsdc.org. ONSTR uses the Basic Formal Ontology v2 (BFO2, v2012-07-20) as top-level ontology and extends the classes imported from OBO Foundry ontologies and candidate ontologies.
Proper citation: Ontology for Newborn Screening Follow-up and Translational Research (RRID:SCR_010389) Copy
http://purl.bioontology.org/ontology/OBOE-SBC
Extensible Observation Ontology for the Santa Barbara Coastal Long Term Ecological Research project (SBC-LTER). It extends core concepts defined in the OBOE suite that are particular to the Santa Barbara Coastal Long Term Ecological Research project''s data collection activities. These include specific measurement protocols, sites, etc. This is meant as a case study ontology for the Semtools project.
Proper citation: Santa Barbara Coastal Observation Ontology (RRID:SCR_010424) Copy
http://purl.bioontology.org/ontology/STY
Ontology of semantic types.
Proper citation: Semantic Types Ontology (RRID:SCR_010425) Copy
http://purl.bioontology.org/ontology/SIO
Ontology that provides a simple, integrated upper level ontology (types, relations) for consistent knowledge representation across physical, processual and informational entities. It provides vocabulary for the Bio2RDF (http://bio2rdf.org) and SADI (http://sadiframework.org) projects.
Proper citation: Semanticscience Integrated Ontology (RRID:SCR_010427) Copy
http://purl.bioontology.org/ontology/ONTODM-CORE
Generic ontology for the domain of data mining that includes the information processing processes that occur in the domain of data mining, participants in the processes and their specifications. OntoDM is highly transferable and extendable due to its adherence to accepted standards, and compliance with existing ontology resources. The generality in scope allows wide number of applications of the ontology, such as semantic annotation of data mining scenarios, ontology based support for QSARs, etc.
Proper citation: Ontology of Core Data Mining Entities (RRID:SCR_010393) Copy
Can't find your Tool?
We recommend that you click next to the search bar to check some helpful tips on searches and refine your search firstly. Alternatively, please register your tool with the SciCrunch Registry by adding a little information to a web form, logging in will enable users to create a provisional RRID, but it not required to submit.
Welcome to the RRID Resources search. From here you can search through a compilation of resources used by RRID and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that RRID has compiled. You can navigate through those categories from here or change to a different tab to execute your search through. Each tab gives a different perspective on data.
If you have an account on RRID then you can log in from here to get additional features in RRID such as Collections, Saved Searches, and managing Resources.
Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:
You can save any searches you perform for quick access to later from here.
We recognized your search term and included synonyms and inferred terms along side your term to help get the data you are looking for.
If you are logged into RRID you can add data records to your collections to create custom spreadsheets across multiple sources of data.
Here are the sources that were queried against in your search that you can investigate further.
Here are the categories present within RRID that you can filter your data on
Here are the subcategories present within this category that you can filter your data on
If you have any further questions please check out our FAQs Page to ask questions and see our tutorials. Click this button to view this tutorial again.