Searching the RRID Resource Information Network
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.
Consortium to improve health outcomes and reduce HIV transmission among diverse range of populations affected by alcohol and HIV infection in Florida. Fosters interdisciplinary translational research, training and community engagement. One of five national Consortia for HIV/AIDS and Alcohol Research Translation (CHAART). Supports Researcher Hub for researchers interested in SHARC research, publication, presentations, and opportunity to access, and analyze datasets via SHARC Concepts System.
Proper citation: Southern HIV and Alcohol Research Consortium (RRID:SCR_023435) Copy
Web-based resource for preserving and sharing pharmacokinetic data generated through preclinical and clinical HIV research.
Proper citation: HIV Pharmacology (RRID:SCR_028109) Copy
https://github.com/ABCD-STUDY/Minimally-Processed-Image-Sharing
Software to share ABCD minimally processed data. It uploads minimally-processed MRI data to the NDA ( Non-Disclosure Agreement) ABCD (Adolescent Brain Cognitive Development) repository.
Proper citation: Minimally-Processed-Image-Sharing (RRID:SCR_016016) Copy
Publicly available repository of high throughput sequencing data. KRA stores qualified raw sequencing data and alignment information and facilitates reproducibility through cloud-based data analysis service. Korean Nucleotide Archive as A New Data Repository for Nucleotide Sequence Data has been migrated to KRA.
Proper citation: Korea Sequence Read Archive (RRID:SCR_028271) Copy
Supports oceanographic research by providing access to high quality, global, vessel-based CTD and hydrographic data from GO-SHIP, WOCE, CLIVAR and other repeat hydrography programs. These data are openly accessible and served in standardized community formats (WHP-Exchange, WOCE, and netCDF). CCHDO also manages public and non-public CTD data for use by the global Argo and OceanSITES programs.
Proper citation: CCHDO (RRID:SCR_007093) Copy
DNA barcode data with an online workbench that supports data validation, annotation, and publication for specimen, distributional, and molecular data. The data platform consists of three main modules, a data portal, a database of barcode clusters, and data collection workbench. The Public Data Portal provides access to all public barcode data which consists of data generated using the Workbench module as well as data mined from other sources. The Barcode Index Number (BIN) system assigns a unique identifier to each sequence cluster of COI, providing an interim taxonomic system for species in the animal kingdom. The workbench module integrates secure databases with analytical tools to provide a private collaborative environment for researchers to collect, analyze, and publish barcode data and ancillary DNA sequences. This platform also provides an annotation framework that supports tagging and commenting on records and their components (i.e. taxonomy, images, and sequences), allowing for community-based validation of barcode data. By providing specialized services, it aids in the assembly of records that meet the standards needed to gain BARCODE designation in the global sequence databases. Because of its web-based delivery and flexible data security model, it is also well positioned to support projects that involve broad research alliances. Public data records include record identifiers, taxonomy, specimen details, collection information and sequence data. Data that has been publicly released through BOLD can be retrieved manually through the BOLD public interface or automatically through BOLD web services. BOLD analytical tools are available for any data set that exists in BOLD (including publicly available data). Analytical tools can be accessed through the BOLD Project Console under the headings Sequences Analysis or Specimen Aggregates. Some examples include Taxon ID Tree, Alignment Viewer, Distribution Maps, and Image Library.
Proper citation: BOLD (RRID:SCR_004278) Copy
http://www.lcb.uu.se/lcbdw.php
A microarray-experiment oriented warehouse for collections of expression data, integrated with gene annotation profiling and used to support genomic data mining processes. It provides means to access and extract valuable information from a Laboratory Information Management System (LIMS) and makes use of several plug-ins to process and analyze the data. The system consists of two parts: MIAME compliant data storage is handled by the LIMS while data analysis is performed in the DWH. The core of the system is BASE. Accessing LIMS and DWH is accomplished through secure connections.
Proper citation: LCB-DWH (RRID:SCR_010942) Copy
https://www.ebi.ac.uk/covid-19
EMBL-EBI portal to enable researchers to upload, access and analyse COVID-19 related reference data and specialist datasets submitted to EMBL-EBI and other major centers for biomedical data. Used to facilitate data sharing and analysis to accelerate coronavirus research. The aim of the COVID-19 Data Portal is to facilitate data sharing and analysis, and to accelerate coronavirus research. EMBL-EBI and partners have set up the COVID-19 Data Portal, which will bring together relevant datasets submitted to EMBL-EBI and other major centres for biomedical data. The aim is to facilitate data sharing and analysis, and to accelerate coronavirus research. The COVID-19 Data Portal will enable researchers to upload, access and analyse COVID-19 related reference data and specialist datasets. The COVID-19 Data Portal will be the primary entry point into the functions of a wider project, the European COVID-19 Data Platform.
Proper citation: EMBL-EBI COVID-19 Portal (RRID:SCR_018337) Copy
Centralized, standards compliant, public data repository for proteomics data, including protein and peptide identifications, post-translational modifications and supporting spectral evidence. Originally it was developed to provide a common data exchange format and repository to support proteomics literature publications. This remit has grown with PRIDE, with the hope that PRIDE will provide a reference set of tissue-based identifications for use by the community. The future development of PRIDE has become closely linked to HUPO PSI. PRIDE encourages and welcomes direct user submissions of protein and peptide identification data to be published in peer-reviewed publications. Users may Browse public datasets, use PRIDE BioMart for custom queries, or download the data directly from the FTP site. PRIDE has been developed through a collaboration of the EMBL-EBI, Ghent University in Belgium, and the University of Manchester.
Proper citation: Proteomics Identifications (PRIDE) (RRID:SCR_003411) Copy
https://portal.dbmi.hms.harvard.edu/projects/GRDR/
Data repository of de-identified patient data, aggregated in a standardized manner, to enable analyses across many rare diseases and to facilitate various research projects, clinical studies, and clinical trials. The aim is to facilitate drug and therapeutics development, and to improve the quality of life for the many millions of people who are suffering from rare diseases. The goal of GRDR is to enable analyses of data across many rare diseases and to facilitate clinical trials and other studies. During the two-year pilot program, a web-based template will be developed to allow any patient organization to establish a rare disease patient registry. At the conclusion of the program, guidance will be available to patient groups to establish a registry and to contribute de-identified patient data to the GRDR repository. A Request for Information (RFI) was released on February 10, 2012 requesting information from patient groups about their interest in participating in a GRDR pilot project. ORDR selected 30 patient organizations to participate in this pilot program to test the different functionalities of the GRDR. Fifteen (15) organizations with established registries and 15 organizations that do not have patient registry. The 15 patient groups, each without a registry, were selected to assist in testing the implementation of the ORDR Common Data Elements (CDEs) in the newly developed registry infrastructure. These organizations will participate in the development and promotion of a new patient registry for their rare disease. The GRDR program will fund the development and hosting of the registry during the pilot program. Thereafter, the patient registry is expected to be self-sustaining.The 15 established patient registries were selected to integrate their de-identified data into the GRDR to evaluate the data mapping and data import/export processes. The GRDR team will assist these organizations in mapping their existing registry data to the CDEs. Participating registries must have a means to export their de-identified registry data into a specified data format that will facilitate loading the data into the GRDR repository on a regular basis. The GRDR will also develop the capability to link patients'''' data and medical information to donated biospecimens by using a Voluntary Global Unique Patient Identifier (GUID). The identifier will enable the creation of an interface between the patient registries that are linked to biorepositories and the Rare Disease Human Biospecimens/Biorepositories (RD-HUB) http://biospecimens.ordr.info.nih.gov/.
Proper citation: GRDR (RRID:SCR_008978) Copy
NIH funded collaboration between researchers and librarians to build behavioral project oriented data repository containing decades of knowledge from educational and developmental sciences on individuals across the full range of abilities.
Proper citation: LDbase (RRID:SCR_025052) Copy
http://eddylab.org/software.html
Software library containing tools for statistical manipulations of data. Tools include profile hidden Markov models for biological sequence analysis, RNA structure analysis, and a prototype noncoding RNA genefinder.
Proper citation: Eddy Lab Software (RRID:SCR_001458) Copy
http://www.nitrc.org/projects/nitrc_es/
Support and community integration for the enhanced NITRC services of the Image Repository (IR) and the Computational Environment (CE). The NITRC Computational Environment, an on-demand, cloud based computational virtual machine pre-installed with popular NITRC neuroimaging tools built using NeuroDebian. NITRC Image Repository is built upon XNAT and supports both NIfTI and DICOM images. The NITRC-IR offers 3,733 Subjects, and 3,743 Imaging Sessions searchable across seven projects to promote re-use and integration of valuable NIH-funded data.
Proper citation: NITRC Enhanced Services (RRID:SCR_002494) Copy
https://github.com/XSLiuLab/tumor-immunogenicity-score
Repository to share analysis procedure, data and help readers or reviewers to know more detail of this work, reproduce or make use of results they are interested in.
Proper citation: TIGS (RRID:SCR_017565) Copy
Maintains and provides archival, retrieval and analytical resources for biological information. Central DDBJ resource consists of public, open-access nucleotide sequence databases including raw sequence reads, assembly information and functional annotation. Database content is exchanged with EBI and NCBI within the framework of the International Nucleotide Sequence Database Collaboration (INSDC). In 2011, DDBJ launched two new resources: DDBJ Omics Archive and BioProject. DOR is archival database of functional genomics data generated by microarray and highly parallel new generation sequencers. Data are exchanged between the ArrayExpress at EBI and DOR in the common MAGE-TAB format. BioProject provides organizational framework to access metadata about research projects and data from projects that are deposited into different databases.
Proper citation: DNA DataBank of Japan (DDBJ) (RRID:SCR_002359) Copy
https://array.nci.nih.gov/caarray/
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on Sep 18, 2018. Open-source, web and programmatically accessible microarray data management system. caArray guides the annotation and exchange of array data using a federated model of local installations whose results are shareable across the cancer Biomedical Informatics Grid (caBIG). caArray furthers translational cancer research through acquisition, dissemination and aggregation of semantically interoperable array data to support subsequent analysis by tools and services on and off the Grid. As array technology advances and matures, caArray will extend its logical library of assay management.
Proper citation: caArray (RRID:SCR_006053) Copy
https://github.com/openworm/tracker-commons
Software tool as repository of documentation, software, and discussions to share worm tracking data and analysis routines.Open access repository for storing, accessing, and filtering data; interchange format for notating single or multi worm behavior; and file formats written in Python for feature extraction, review, and analysis.
Proper citation: Worm Behavior Platform (RRID:SCR_021501) Copy
Repository for biodiversity data products managed by Department of Planning, Industry and Environment, New South Wales, Australia. It stores species sightings, systematic surveys, threatened biodiversity records and species names.
Proper citation: NSW BioNet (RRID:SCR_019162) Copy
http://www.einstein.yu.edu/centers/ictr/
Patient-derived specimens are essential to research in genomics, proteomics, and biomarkers. We provide banking for biological fluid and tissue specimens as well as human DNA and RNA. We provide secure archival sample storage as well as clinically-annotated specimen biobanks for defined research projects. The core serves the human research blood and tissue banking needs of clinical and translational researchers. Samples can be banked by an individual PI or by a consortium of investigators. All samples are tracked and archived using a secure tracking database, the Einstein-Montefiore Bio-Repository Databank (EM-BRED), http://informatics30.aecom.yu.edu/em-bred/default.aspx. EM-BRED provides qualified investigators with a solution to securely link patient specimens to clinical and pathological data. It consists of a user-friendly query engine that allows for comprehensive specimen search, and ultimately to build clinical annotations of relevance. The facility works under the best practices set out by NCI and ISBER (2006) for collection, storage, and retrieval of human biological materials for research.
Proper citation: Einstein-Montefiore Institute for Clinical and Translational Research Biorepository (RRID:SCR_005297) Copy
DSpace open source software is a turnkey institutional repository application. DSpace is the software of choice for academic, non-profit, and commercial organizations building open digital repositories. It is free and easy to install out of the box and completely customizable to fit the needs of any organization. DSpace preserves and enables easy and open access to all types of digital content including text, images, moving images, mpegs and data sets. And with an ever-growing community of developers, committed to continuously expanding and improving the software, each DSpace installation benefits from the next. Top Reasons to Use DSpace * Largest community of users and developers worldwide * Free open source software * Completely customizable to fit your needs * Used by educational, government, private and commercial institutions * Can be installed out of the box * Can manage and preserve all types of digital content
Proper citation: DSpace (RRID:SCR_005865) 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.
