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http://www.mutationtaster.org/

Evaluates disease-causing potential of sequence alterations.

Proper citation: MutationTaster (RRID:SCR_010777) Copy   

•   Source: SciCrunch Registry
  

http://esbank.nia.nih.gov/

Not yet vetted by NIF curator

Proper citation: Mouse ES Stem Cell Bank (RRID:SCR_010660) Copy   

•   Source: SciCrunch Registry
  

http://www.med.nyu.edu/medicine/rheumatology/research/current-investigations/patient-registries-and-tissue-bank

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 22, 2016.

Proper citation: New York University Specialty Tissue Banks (RRID:SCR_010540) Copy   

•   Source: SciCrunch Registry
  

http://www.icpsr.umich.edu/icpsrweb/NACDA/Pledge/all.jsp

A data set of cross-nationally comparable microdata samples for 15 Economic Commission for Europe (ECE) countries (Bulgaria, Canada, Czech Republic, Estonia, Finland, Hungary, Italy, Latvia, Lithuania, Romania, Russia, Switzerland, Turkey, UK, USA) based on the 1990 national population and housing censuses in countries of Europe and North America to study the social and economic conditions of older persons. These samples have been designed to allow research on a wide range of issues related to aging, as well as on other social phenomena. A common set of nomenclatures and classifications, derived on the basis of a study of census data comparability in Europe and North America, was adopted as a standard for recoding. This series was formerly called Dynamics of Population Aging in ECE Countries. The recommendations regarding the design and size of the samples drawn from the 1990 round of censuses envisaged: (1) drawing individual-based samples of about one million persons; (2) progressive oversampling with age in order to ensure sufficient representation of various categories of older people; and (3) retaining information on all persons co-residing in the sampled individual''''s dwelling unit. Estonia, Latvia and Lithuania provided the entire population over age 50, while Finland sampled it with progressive over-sampling. Canada, Italy, Russia, Turkey, UK, and the US provided samples that had not been drawn specially for this project, and cover the entire population without over-sampling. Given its wide user base, the US 1990 PUMS was not recoded. Instead, PAU offers mapping modules, which recode the PUMS variables into the project''''s classifications, nomenclatures, and coding schemes. Because of the high sampling density, these data cover various small groups of older people; contain as much geographic detail as possible under each country''''s confidentiality requirements; include more extensive information on housing conditions than many other data sources; and provide information for a number of countries whose data were not accessible until recently. Data Availability: Eight of the fifteen participating countries have signed the standard data release agreement making their data available through NACDA/ICPSR (see links below). Hungary and Switzerland require a clearance to be obtained from their national statistical offices for the use of microdata, however the documents signed between the PAU and these countries include clauses stipulating that, in general, all scholars interested in social research will be granted access. Russia requested that certain provisions for archiving the microdata samples be removed from its data release arrangement. The PAU has an agreement with several British scholars to facilitate access to the 1991 UK data through collaborative arrangements. Statistics Canada and the Italian Institute of statistics (ISTAT) provide access to data from Canada and Italy, respectively. * Dates of Study: 1989-1992 * Study Features: International, Minority Oversamples * Sample Size: Approx. 1 million/country Links: * Bulgaria (1992), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/02200 * Czech Republic (1991), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06857 * Estonia (1989), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06780 * Finland (1990), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06797 * Romania (1992), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06900 * Latvia (1989), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/02572 * Lithuania (1989), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/03952 * Turkey (1990), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/03292 * U.S. (1990), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06219

Proper citation: Census Microdata Samples Project (RRID:SCR_008902) Copy   

•   Source: SciCrunch Registry
  

http://www.vaccineinjury.info/vaccine-damage-reports-2010.html

Database of case reports of adverse reactions to vaccinations. There are 806 reports (May 2013). If you would like to report a case, please go to report your own vaccine reaction. The user may search by keywords or sort by vaccine, country, age, outcome, gender and hospital admission.

Proper citation: Vaccine damage reports database (RRID:SCR_010740) Copy   

•   Source: SciCrunch Registry
  

http://metlin.scripps.edu/

A public repository of metabolite information as well as tandem mass spectrometry data is provided to facilitate metabolomics experiments. It contains structures and represents a data management system designed to assist in a broad array of metabolite research and metabolite identification. An annotated list of known metabolites and their mass, chemical formula, and structure are available. Each metabolite is linked to outside resources for further reference and inquiry. MS/MS data is also available on many of the metabolites.

Proper citation: METLIN (RRID:SCR_010500) Copy   

•   Source: SciCrunch Registry
  

http://www.nitrc.org/projects/atag/

This atlas takes advantage of ultra-high resolution 7T MRI to provide unprecedented levels of detail on structures of the basal ganglia in-vivo. The atlas includes probability maps of the Subthalamic Nucleus (STh) using T2*-imaging. For now it has been created on 13 young healthy participants with a mean age of 24.38 (range: 22-28, SD: 2.36). We recently also created atlas STh probability maps from 8 middle-aged participants with a mean age of 50.67 (range: 40-59, SD: 6.63), and 9 elderly participants with a mean age of 72.33 (range: 67-77, SD: 2.87). You can find more details about the creation of these maps in the following papers: Young: http://www.ncbi.nlm.nih.gov/pubmed/22227131 Middle-aged & Elderly: http://www.ncbi.nlm.nih.gov/pubmed/23486960 Participating institutions are the Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, and the Cognitive Science Center Amsterdam, University of Amsterdam, the Netherlands.

Proper citation: Atlasing of the basal ganglia (RRID:SCR_009431) Copy   

•   Source: SciCrunch Registry
  

https://www.ncbi.nlm.nih.gov/Structure/MMDB/docs/mmdb_help.html

The Molecular Modeling DataBase (MMDB), also known as Entrez Structure, is a database of experimentally determined structures obtained from the RCSB Protein Data Bank (PDB). MMDB is developed by the Structure Group of the NCBI Computational Biology Branch. The data processing procedure at NCBI results in the addition of a number of useful features that facilitate computation on the data and link them to many other data types in the Entrez system. The structure database is considerably smaller than Entrez''s Protein or Nucleotide databases, but a large fraction of all known protein sequences have homologs in this set, and one may often learn more about a protein by examining 3-D structures of its homologs. These are accessible as Related Structures in the Links menu of Entrez Protein sequence records (illustrated example). It is then possible to align the query protein to the structure-based sequence, as shown in the illustration on this page. Additional resources can be used along with MMDB to interactively view the structures, find similar 3D structures, learn about the types of interactions and bound chemicals that have been found to exist among the similar 3D structures, and more.

Proper citation: Molecular Modeling DataBase (RRID:SCR_010623) Copy   

•   Source: SciCrunch Registry
  

http://dhruvpolyclinic.com/

Not yet vetted by NIF curator

Proper citation: Dhruv Dental Stem Cell Bank (RRID:SCR_010744) Copy   

•   Source: SciCrunch Registry
  

http://mayovalidation.com/quality-biospecimens/

A core laboratory facility provides high-volume, high-quality tissue and biospecimen preparation and processing in support of Mayo research. Mayo Validation Support Services utilizes these resources to deliver extensive validation capabilities specific to individualized Sponsor requirements. Medical scientific expertise at Mayo Clinic allows for unique collaborations combining quality biospecimens linked to comprehensive clinical outcomes. Biospecimens can be accessed via archives or prospectively collected via individualized standard operating procedures. Patient information for all biospecimens is protected through oversight by an Institutional Review Board (IRB). Specimens may be collected and/or processed in a variety of customized formats for individual collaborations. Typical formats include: * Specimen Processing: Tissue RNA/DNA extraction capabilities, Paraffin and frozen sectioning, Immunostaining, Digital imaging, Laser capture microdissection, Tissue microarray construction, Preparation of protocol-collected tissue (FFPE, OCT, Snap-frozen, PBS) * Blood: Circulating tumor cells, Serum, Plasma, PBMC, Whole blood for FACS analysis, Blood smears * Other: Induced sputum, Saliva, Buccal swabs, Lip biopsies, Colonoscopy biopsies, Synovium, Stool, Urine Biospecimens located within archives are well-characterized and associated with phenotypic information. Multiple types and formats of biospecimens are available for customized validation purposes.

Proper citation: Mayo Validation Support Services Biobank (RRID:SCR_010745) Copy   

•   Source: SciCrunch Registry
  

http://www.biobank.org/

Genetic Alliance Registry and BioBank is a centralized, clinical data registry and sample repository (including DNA, serum, cells and tissues) that enables translational research. It is a nonprofit organization established by seven patient advocacy organizations. These organizations share resources for their BioBanks, such as the contract to the independent lab that processes the samples, but each organization will maintain ownership, control and costs associated with their sample collection. Founded in 2003, this cooperative venture provides shared infrastructure and customized solutions for disease advocacy organizations to lead sophisticated research initiatives. Genetic Alliance Registry and BioBank is an advocacy owned repository for biological samples and clinical data. It provides: * Centralized, standardized collection and archiving * Highest biorepository and participant protection standards * Open access for all organization approved researchers * Advocacy organization control

Proper citation: Genetic Alliance Biobank (RRID:SCR_010625) Copy   

•   Source: SciCrunch Registry
  

http://www.msbrainbank.org.au/

Biomaterial supply resource which provides high quality and well-chracaterized brain tissue samples for MS research. Registered MS brain donors and their families are kept up to date on the latest progress in MS research.

Proper citation: Multiple Sclerosis Research Australia Brain Bank (RRID:SCR_010747) Copy   

•   Source: SciCrunch Registry
  

http://old.genedb.org/genedb/pombe/index.jsp

THIS RESOURCE IS NO LONGER IN SERVICE documented June 6, 2013 Database of all S. pombe (fission yeast) known and predicted protein coding genes, pseudogenes, transposons, tRNAs, rRNAs, snRNAs, snoRNAs and other known and predicted non-coding RNAs. Curation of new and existing literature is ongoing and changes are incorporated weekly. User feedback is welcome. The genome of fission yeast (Schizosaccharomyces pombe), which contains the smallest number of protein-coding genes yet recorded for a eukaryote: 4,824, has been sequenced and annotated. The centromeres are between 35 and 110 kilobases (kb) and contain related repeats including a highly conserved 1.8-kb element. Regions upstream of genes are longer than in budding yeast (Saccharomyces cerevisiae), possibly reflecting more-extended control regions. Some 43% of the genes contain introns, of which there are 4,730. Fifty genes have significant similarity with human disease genes; half of these are cancer related. We identify highly conserved genes important for eukaryotic cell organization including those required for the cytoskeleton, compartmentation, cell-cycle control, proteolysis, protein phosphorylation and RNA splicing. These genes may have originated with the appearance of eukaryotic life. Few similarly conserved genes that are important for multicellular organization were identified, suggesting that the transition from prokaryotes to eukaryotes required more new genes than did the transition from unicellular to multicellular organization.

Proper citation: GeneDB Spombe (RRID:SCR_010639) Copy   

•   Source: SciCrunch Registry
  

http://bnaber.org

bNAber is the Broadly Neutralizing Antibody E-Resource Database, analysis, visualization, and data discovery tool for broadly neutralizing HIV-1 antibodies (bNAbs). bNAber seeks to be a vital tool in the search for an AIDS vaccine.

Proper citation: bNAber (RRID:SCR_010510) Copy   

•   Source: SciCrunch Registry
  

http://cameronneylon.net/category/blog/

Science in the Open: This blog contains the thoughts of Cameron Neylon on the technical and social issues involved with ''Open Research''. Most people would agree Open Research includes freely accessible literature or perhaps making raw data available. Others might think it also involves people working on collaborative documents such as Wikis or the freedom to re-use the published literature or data. At its logical extreme Open Research includes making all the details of what we do freely available as it happens. Many people find this scarey. Some, perhaps a growing number, find it tremendously exciting.

Proper citation: Science in the Open (RRID:SCR_010511) Copy   

•   Source: SciCrunch Registry
  

http://www.meduniwien.ac.at/akh-biobank/Biobank.html

Not yet vetted by NIF curator

Proper citation: MUW Biobank (RRID:SCR_010632) Copy   

•   Source: SciCrunch Registry
  

https://tmc.gov.in/actrec/index.php/tissue-bank

Not yet vetted by NIF curator

Proper citation: Tata Memorial Hospital Tissue Bank (RRID:SCR_010633) Copy   

•   Source: SciCrunch Registry
  

https://www.omicron-laser.de/english/lasers/diode-lasers/phoxx-lasers/phoxx-diode-laser.html

Software application for PhoxX® Diode Laser to support Omicron products. It is related to uManager open source microscopy software for control of microscopes.

Proper citation: PhoxX Controller (RRID:SCR_016309) Copy   

•   Source: SciCrunch Registry
  

https://www.axionbiosystems.com/products/axis-software

Software for multi electrode array recording for Axion Biosystems. Used in enhancing cardiac and neural analysis through data processing and signal monitoring.

Proper citation: AxIS (RRID:SCR_016308) Copy   

•   Source: SciCrunch Registry
  

https://www.qimacros.com/spc-software-for-excel/

A statistical process control (SPC) add-in for Microsoft Excel. The user can select their data and the program will draw the desired chart or run the desired statistical test.

Proper citation: QI Macros (RRID:SCR_014496) Copy   

•   Source: SciCrunch Registry