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://www.physionet.org/physiobank/database/gaitpdb/
Database that contains measures of gait from 93 patients with idiopathic PD (mean age: 66.3 years; 63% men), and 73 healthy controls (mean age: 66.3 years; 55% men). The database includes the vertical ground reaction force records of subjects as they walked at their usual, self-selected pace for approximately 2 minutes on level ground. Underneath each foot were 8 sensors (Ultraflex Computer Dyno Graphy, Infotronic Inc.) that measure force (in Newtons) as a function of time. The output of each of these 16 sensors has been digitized and recorded at 100 samples per second, and the records also include two signals that reflect the sum of the 8 sensor outputs for each foot. This database also includes demographic information, measures of disease severity (i.e., using the Hoehn & Yahr staging and/or the Unified Parkinson's Disease Rating Scale) and other related measures (available in HTML or xls spreadsheet format). A subset of the database includes measures recorded as subjects performed a second task (serial 7 subtractions) while walking, which shows excerpts of swing time series from a patient with PD and a control subject, under usual walking conditions and when performing serial 7 subtractions. Under usual walking conditions, variability is larger in the patient with PD (Coefficient of Variation = 2.7%), compared to the control subject (CV = 1.3%). Variability increases during dual tasking in the subject with PD (CV = 6.5%), but not in the control subject (CV = 1.2%).
Proper citation: Gait in Parkinson's Disease (RRID:SCR_006891) Copy
The Musculoskeletal Transplant Foundation is a non-profit service organization dedicated to providing quality allograft tissue through a commitment to excellence in education, research, recovery and care for recipients, donors and their families. We are a national consortium comprised of academic medical institutions, organ procurement organizations and tissue recovery organizations. MTF was created as a charitable organization with a mission that is dedicated to the needs of donors, donor families, patients and surgeons. We focus on respectful stewardship of the donated gift while advancing the science and practice of bone, ligament, cartilage and skin transplantation. Since our inception in 1987, MTF has recovered more than 60,000 donors and distributed more than 3 million grafts for transplantation. We also support research to expand the science of transplantation, and we encourage the efforts of our members and non-member clients to improve the understanding of donation and transplantation among the medical community and the public at large. Our policies are developed and implemented by MTF''''s Medical Board of Trustees, Donation Board of Trustees and Board of Directors, composed of physicians and recovery agency representatives who are dedicated to the mission of the Foundation. This fundamental commitment enables us to set and maintain the highest levels of safety assurance and quality control in all phases of our operations.
Proper citation: Musculoskeletal Transplant Foundation - MTF (RRID:SCR_006684) Copy
http://molonc.bccrc.ca/platforms/btb/
The Molecular Oncology department hosts the breast cancer tumour tissue repository (BREAST-TTR), a project within the agency-wide tumour tissue repository. The BREAST-TTR comprises several important banks of breast tissues, contemporaneous as well as archival. The main banks are: * 3000 frozen breast cancers, linked to 15 year outcomes data from the BCCA Breast Cancer Outcomes Unit. This archival bank consists of frozen tissue, DNA and RNA, and a tissue microarray of the cases. * Live-cryopreserved cancers. At present around 50 individual cases of metastatic breast cancer, with tumour material cryopreserved for subsequent cell culture/xenograft work. * Comptemporary bank. Between the TTR in Victoria and the accrual site in Vancouver, approximately 1300 contemporaneous (within last 4 years) breast cancers with matched normal DNA and outcomes linkages.
Proper citation: British Columbia Breast Cancer Tumour Bank (RRID:SCR_006671) Copy
http://digestive.niddk.nih.gov/statistics/statistics.aspx
A collection of statistics about specific digestive diseases, including prevalence, mortality, care delivery and cost.
Proper citation: Digestive Diseases Statistics for the United States (RRID:SCR_006703) Copy
Cell repository for Alzheimer's disease that collects and maintains biological specimens and associated data. Its data is derived from large numbers of genetically informative, phenotypically well-characterized families with multiple individuals affected with Alzheimer's disease, as well as individuals for case-control studies.
Proper citation: National Cell Repository for Alzheimer's Disease (RRID:SCR_007313) Copy
Project aimed at making neuroimaging data sets of brain freely available to scientific community. By compiling and freely distributing neuroimaging data sets, future discoveries in basic and clinical neuroscience are facilitated.
Proper citation: Open Access Series of Imaging Studies (RRID:SCR_007385) Copy
http://bioinformatics.istge.it/cldb/indexes.html
Hypertext on cell culture availability extracted from the Cell Line Data Base of the Interlab Project. HyperCLDB includes links to records of OMIM, the Online Mendelian Inheritance in Man Catalogue, and now also links to the PubMed, database of bibliographic biomedical references, which are drawn primarily from MEDLINE and PREMEDLINE.
Proper citation: Hyper Cell Line Database (RRID:SCR_007730) Copy
Database of compiled, public, deep sequencing miRNA data and several novel tools to facilitate exploration of massive data. The miR-seq browser supports users to examine short read alignment with the secondary structure and read count information available in concurrent windows. Features such as sequence editing, sorting, ordering, import and export of user data are of great utility for studying iso-miRs, miRNA editing and modifications. miRNA����??target relation is essential for understanding miRNA function. Coexpression analysis of miRNA and target mRNAs, based on miRNA-seq and RNA-seq data from the same sample, is visualized in the heat-map and network views where users can investigate the inverse correlation of gene expression and target relations, compiled from various databases of predicted and validated targets.
Proper citation: miRGator (RRID:SCR_007793) Copy
A centralised repository for the data which define the human platelet antigens (HPA). Alloantibodies against human platelet antigens are involved in neonatal alloimmune thrombocytopenia, post-transfusion purpura and refractoriness to random donor platelets. The Human Platelet Antigen (HPA) nomenclature system was adopted in 1990 to overcome problems with the previous nomenclature. Since then more antigens have been described and meanwhile the molecular basis of many has been resolved, and the nomenclature was revised in 2003.
Proper citation: IPD-HPA - Human Platelet Antigens (RRID:SCR_007747) Copy
http://bioinformatics.istge.it/cldb/mpdb.html
A database containing information on ca. 4300 synthetic oligonucleotides with a sequence of up to 100 nucleotides. Data are mainly taken from the literature and are encoded on the basis of controlled vocabularies. The probes target 821 different genes, of which 691 human and 112 viral. The probes can be used for genetic polymorphisms study (1944), human inherited disease diagnosis (834), cancer diagnosis (517), infectious disease diagnosis (517), neurologic disease diagnosis (72), autoimmune disease diagnosis (40). Oligonucleotides are described on the basis of: name, oligo type (primer, probe, antisense), nucleotide sequence, amino acid sequence (if part of a coding region), target gene and related infos (localization within the gene and recognized variants or specificities), applications, methods, technical notes, complementary primer (if used for PCR), primers for amplification (if probe), bibliographic references. At the moment MPDB is searchable through some SRS servers. MPDB can easily be retrieved from our FTP server, together with SRS syntax files. Typology * ca. 4300 oligonucleotides * 821 different genes, of which 691 human and 112 viral * ca. 3536 oligonucleotides are human gene specific * ca. 620 oligonucleotides are viral gene specific
Proper citation: MPDB - Molecular Probe Database (RRID:SCR_007808) Copy
Collection of data of protein sequence and functional information. Resource for protein sequence and annotation data. Consortium for preservation of the UniProt databases: UniProt Knowledgebase (UniProtKB), UniProt Reference Clusters (UniRef), and UniProt Archive (UniParc), UniProt Proteomes. Collaboration between European Bioinformatics Institute (EMBL-EBI), SIB Swiss Institute of Bioinformatics and Protein Information Resource. Swiss-Prot is a curated subset of UniProtKB.
Proper citation: UniProt (RRID:SCR_002380) Copy
http://mindboggle.info/data.html
Complete set of free, publicly accessible, downloadable atlases, templates, and individual manually labeled brain image data, the largest collection of publicly available, manually labeled human brains in the world! http://journal.frontiersin.org/article/10.3389/fnins.2012.00171/full
Proper citation: Mindboggle-101 atlases (RRID:SCR_002439) Copy
http://weatherby.genetics.utah.edu/cgi-bin/Phevor/PhevorWeb.html
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on October 28,2025. Tool that integrates phenotype, gene function, and disease information with personal genomic data for improved power to identify disease-causing alleles. It works by combining knowledge resident in multiple biomedical ontologies with the outputs of variant prioritization tools. It does so using an algorithm that propagates information across and between ontologies. This process enables Phevor to accurately reprioritize potentially damaging alleles identified by variant prioritization tools in light of gene function, disease, and phenotype knowledge. Phevor is especially useful for single exome and family trio-based diagnostic analyses, the most commonly occurring clinical scenarios, and ones for which existing personal-genomes diagnostic tools are most inaccurate and underpowered. Phevor not only improves diagnostic accuracy for individuals presenting with established disease phenotypes, but also for those with previously undescribed and atypical disease presentations. Importantly, Phevor is not limited to known diseases, or known disease-causing alleles.
Proper citation: Phevor (RRID:SCR_002273) Copy
http://www.ncbi.nlm.nih.gov/ieb/research/acembly/
THIS RESOURCE IS NO LONGER IN SERVICE, documented May 10, 2017. A pilot effort that has developed a centralized, web-based biospecimen locator that presents biospecimens collected and stored at participating Arizona hospitals and biospecimen banks, which are available for acquisition and use by researchers. Researchers may use this site to browse, search and request biospecimens to use in qualified studies. The development of the ABL was guided by the Arizona Biospecimen Consortium (ABC), a consortium of hospitals and medical centers in the Phoenix area, and is now being piloted by this Consortium under the direction of ABRC. You may browse by type (cells, fluid, molecular, tissue) or disease. Common data elements decided by the ABC Standards Committee, based on data elements on the National Cancer Institute''s (NCI''s) Common Biorepository Model (CBM), are displayed. These describe the minimum set of data elements that the NCI determined were most important for a researcher to see about a biospecimen. The ABL currently does not display information on whether or not clinical data is available to accompany the biospecimens. However, a requester has the ability to solicit clinical data in the request. Once a request is approved, the biospecimen provider will contact the requester to discuss the request (and the requester''s questions) before finalizing the invoice and shipment. The ABL is available to the public to browse. In order to request biospecimens from the ABL, the researcher will be required to submit the requested required information. Upon submission of the information, shipment of the requested biospecimen(s) will be dependent on the scientific and institutional review approval. Account required. Registration is open to everyone., documented August 29, 2016. AceView offers an integrated view of the human, nematode and Arabidopsis genes reconstructed by co-alignment of all publicly available mRNAs and ESTs on the genome sequence. Our goals are to offer a reliable up-to-date resource on the genes and their functions and to stimulate further validating experiments at the bench. AceView provides a curated, comprehensive and non-redundant sequence representation of all public mRNA sequences (mRNAs from GenBank or RefSeq, and single pass cDNA sequences from dbEST and Trace). These experimental cDNA sequences are first co-aligned on the genome then clustered into a minimal number of alternative transcript variants and grouped into genes. Using exhaustively and with high quality standards the available cDNA sequences evidences the beauty and complexity of mammals' transcriptome, and the relative simplicity of the nematode and plant transcriptomes. Genes are classified according to their inferred coding potential; many presumably non-coding genes are discovered. Genes are named by Entrez Gene names when available, else by AceView gene names, stable from release to release. Alternative features (promoters, introns and exons, polyadenylation signals) and coding potential, including motifs, domains, and homologies are annotated in depth; tissues where expression has been observed are listed in order of representation; diseases, phenotypes, pathways, functions, localization or interactions are annotated by mining selected sources, in particular PubMed, GAD and Entrez Gene, and also by performing manual annotation, especially in the worm. In this way, both the anatomy and physiology of the experimentally cDNA supported human, mouse and nematode genes are thoroughly annotated. Our goals are to offer an up-to-date resource on the genes, in the hope to stimulate further experiments at the bench, or to help medical research. AceView can be queried by meaningful words or groups of words as well as by most standard identifiers, such as gene names, Entrez Gene ID, UniGene ID, GenBank accessions.
Proper citation: AceView (RRID:SCR_002277) Copy
https://ndriresource.org/for-researchers/services-capabilities-sample/htorr
NDRI’s Human Tissue and Organs for Research Resource (HTORR) Program has been funded by the National Institutes of Health (NIH) for over 30 consecutive years to support research programs across multiple disciplines. It is through the HTORR program that NDRI provides academic biomedical investigators with donated normal and diseased human tissues and organs recovered from a diverse donor pool using customized procurement, processing, and preservation and distribution protocols. Our HTORR Program supports academic biomedical research investigators needs by providing: Access to a wide array of human biospecimens from any body system * Customized procurement in a variety of preservation formats including fresh, frozen, and fixed suitable for various analytical techniques * Reduced costs for tissue procurement * Technical support to design your studies utilizing human biospecimens * Letters of support and budgetary information for grant applications
Proper citation: Human Tissue and Organ for Research Resource (HTORR) (RRID:SCR_002859) Copy
http://edas2.bioinf.fbb.msu.ru/
Databases of alternatively spliced genes with data on the alignment of proteins, mRNAs, and EST. It contains information on all exons and introns observed, as well as elementary alternatives formed from them. The database makes it possible to filter the output data by changing the cut-off threshold by the significance level. It contains splicing information on human, mouse, dog (not yet functional) and rat (not yet functional). For each database, users can search by keyword or by overall gene expression. They can also view genes based on chromosomal arrangement or other position in genome (exon, intron, acceptor site, donor site), functionality, position, conservation, and EST coverage. Also offered is an online Fisher test.
Proper citation: EDAS - EST-Derived Alternative Splicing Database (RRID:SCR_002449) Copy
http://www.med.unc.edu/bric/ideagroup/free-softwares/unc-infant-0-1-2-atlases
3 atlases dedicated for neonates, 1-year-olds, and 2-year-olds. Each atlas comprises a set of 3D images made up of the intensity model, tissue probability maps, and anatomical parcellation map. These atlases are constructed with the help of state-of-the-art infant MR segmentation and groupwise registration methods, on a set of longitudinal images acquired from 95 normal infants (56 males and 39 females) at neonate, 1-year-old, and 2-year-old.
Proper citation: UNC Infant 0-1-2 Atlases (RRID:SCR_002569) Copy
An interactive web server that enables researchers to prioritize any list of genes by their biological proximity to defined core genes (i.e. genes that are known to be associated with the phenotype), and to predict novel gene pathways.
Proper citation: Human Gene Connectome Server (RRID:SCR_002627) Copy
http://people.biochem.umass.edu/fournierlab/3dmodmap/
Database of maps showing the sites of modified rRNA nucleotides. Access to the rRNA sequences, secondary structures both with modification sites indicated, 3D modification maps and the supporting tables of equivalent nucleotides for rRNA from model organisms including yeast, arabidopsis, e. coli and human is provided. This database complements the Yeast snoRNA Database at UMass-Amherst and relies on linking to some content from that database, as well as to others by colleagues in related fields. Therefore, please be very cognizant as to the source when citing information obtained herein. Locations of modified rRNA nucleotides within the 3D structure of the ribosome.
Proper citation: 3D Ribosomal Modification Maps Database (RRID:SCR_003097) Copy
Database with annotations for human variation data with protein structural information and other functionally relevant information, if available. The mutations are organized by gene.
Proper citation: MutDB (RRID:SCR_003251) 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.