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http://retractionwatch.wordpress.com/

Retraction Watch is a blog of retractions in the scientific literature. It is maintained by Adam Marcus and Ivan Oransky and has been operating since August 2010.

Proper citation: RetractionWatch.com (RRID:SCR_000654) Copy   

•   Source: SciCrunch Registry

https://bams1.org/connectomes/standard_rat.php, https://bams1.org/connectomes/custom_rat.php

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 9,2022. Database of information about brain region circuitry, it collates data from the literature on tract tracing studies and provides tools for analysis and visualization of connectivity between brain regions., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: BAMS Connectivity (RRID:SCR_000561) Copy   

•   Source: SciCrunch Registry

http://www.labspaces.net/view_blog.php?ID=15

Blog about technology, molecular biology, and editorial comments on the current state of science on the internet. Brian Krueger PhD, is the owner, creator and coder of LabSpaces by night and a Molecular biologist by day. His posts are presented as opinion and commentary and do not represent the views of LabSpaces Productions, LLC, his employer, or his educational institution.

Proper citation: H2SO4Hurts (RRID:SCR_000686) Copy   

•   Source: SciCrunch Registry

http://lifespandb.sageweb.org/

Database that collects published lifespan data across multiple species. The entire database is available for download in various formats including XML, YAML and CSV.

Proper citation: Lifespan Observations Database (RRID:SCR_001609) Copy   

•   Source: SciCrunch Registry

http://blogs.plos.org/

PLoS Blogs has been set up to bring a select group of independent science and medicine bloggers together with the editors and staff who run our blogs. Our independent network is made up of writers who love science and medicine, and scientists and physicians that love to write. Here, you'll find an equal mix of blogs from journalists and researchers tackling diverse issues in science and medicine. There are three very distinct types of blogs on the PLoS Blogs network: the official PLoS blog, the PLoS journal blogs (collectively known as The PLoS Blogs), and blogs from the independent network (a.k.a. The PLoS Blogosphere) # The official PLoS blog: This content is produced, edited, and/or maintained by PLoS staff. # The journal blogs: This content is produced, edited, and/or maintained by PLoS journal staff: The current journal blogs are Speaking of Medicine (PLoS Medicine's blog) and everyONE (PLoS ONE's blog). # Our independent network of bloggers (The PLoS Blogosphere): This content is produced, edited, and/or maintained by the authors. * All of the content in The PLoS Blogosphere came from the minds of the authors. PLoS does not screen, edit, or otherwise meddle with content on the these blogs in any way. Our bloggers and our users are held to exactly the same standards, and the community guidelines apply to everyone that uses our site. If a blogger has posted content that you believe violates our site abuse policy, please contact PLoS. * Bloggers monitor their own comment threads: All comments will be reviewed by the author of the blog where you leave your thoughts. Just follow our simple community guidelines and we'll all get along just fine.

Proper citation: PLoS Blogs (RRID:SCR_001371) Copy   

•   Source: SciCrunch Registry

https://scicrunch.org/scicrunch/data/source/nlx_154697-12/search?q=*

A virtual database of several model resources including: CellML Model Repository, ModelDB, Open Source Brain, SimTK, and ModelRun.

Proper citation: Integrated Models (RRID:SCR_001481) Copy   

•   Source: SciCrunch Registry

http://www.diacomp.org

Consortium serving the diabetic complications community that sponsors annual meetings in complications-relevant scientific areas, solicits and funds pilot projects in high impact areas of complications research, and provides resources and data including animal models, protocols and methods, validation criteria, reagents and resources, histology, publications and bioinformatics for researchers conducting diabetic complications research.

Proper citation: Diabetic Complications Consortium (RRID:SCR_001415) Copy   

•   Source: SciCrunch Registry

http://wikipathways.org/

Open and collaborative platform dedicated to curation of biological pathways. Each pathway has dedicated wiki page, displaying current diagram, description, references, download options, version history, and component gene and protein lists. Database of biological pathways maintained by and for scientific community.

Proper citation: WikiPathways (RRID:SCR_002134) Copy   

•   Source: SciCrunch Registry

https://scicrunch.org/scicrunch/Resources/record/nlx_144509-1/f2172664-1499-555d-9e84-3b7768695e4d/search?q=integrated&l=integrated

Virtual database of individual data sources, maintained by SciCrunch participating groups. Database topics are varied, including animals, grants, software, brain gene expression, and clinical trials.

Proper citation: Integrated (RRID:SCR_002187) Copy   

•   Source: SciCrunch Registry

http://ibvd.virtualbrain.org/

A database of brain neuroanatomic volumetric observations spanning various species, diagnoses, and structures for both individual and group results. A major thrust effort is to enable electronic access to the results that exist in the published literature. Currently, there is quite limited electronic or searchable methods for the data observations that are contained in publications. This effort will facilitate the dissemination of volumetric observations by making a more complete corpus of volumetric observations findable to the neuroscience researcher. This also enhances the ability to perform comparative and integrative studies, as well as metaanalysis. Extensions that permit pre-published, non-published and other representation are planned, again to facilitate comparative analyses. Design strategy: The principle organizing data structure is the "publication". Publications report on "groups" of subjects. These groups have "demographic" information as well as "volume" information for the group as a whole. Groups are comprised of "individuals", which also have demographic and volume information for each of the individuals. The finest-grained data structure is the "individual volume record" which contains a volume observation, the units for the observation, and a pointer to the demographic record for individual upon which the observation is derived. A collection of individual volumes can be grouped into a "group volume" observation; the group can be demographically characterized by the distribution of individual demographic observations for the members of the group.

Proper citation: Internet Brain Volume Database (RRID:SCR_002060) Copy   

•   Source: SciCrunch Registry

http://drugdesigndata.org

Project portal's database of protein-ligand data sets provided by pharmaceutical partners that provide atomic details of drug mechanisms that will be used to improve computer-aided drug-design methods and thus accelerate drug discovery. The project aims to help companies release the high-quality data they have generated, which has incredible value to researchers working to improve methods of computer-aided drug discovery. Everyone stands to benefit from the ability to develop new medications more quickly and inexpensively. What computational chemists globally are trying to do is to make faster, more accurate, more predictive programs to speed up the process. Part of their mission is to engage the community in these challenges to test newly developed predictive algorithms.

Proper citation: Drug Design Data Resource (RRID:SCR_000497) Copy   

•   Source: SciCrunch Registry

http://neuromab.ucdavis.edu/

A national mouse monoclonal antibody generating resource for biochemical and immunohistochemical applications in mammalian brain. NeuroMabs are generated from mice immunized with synthetic and recombinant immunogens corresponding to components of the neuronal proteome as predicted from genomic and other large-scale cloning efforts. Comprehensive biochemical and immunohistochemical analyses of human, primate and non-primate mammalian brain are incorporated into the initial NeuroMab screening procedure. This yields a subset of mouse mAbs that are optimized for use in brain (i.e. NeuroMabs): for immunocytochemical-based imaging studies of protein localization in adult, developing and pathological brain samples, for biochemical analyses of subunit composition and post-translational modifications of native brain proteins, and for proteomic analyses of native brain protein networks. The NeuroMab facility was initially funded with a five-year U24 cooperative grant from NINDS and NIMH. The initial goal of the facility for this funding period is to generate a library of novel NeuroMabs against neuronal proteins, initially focusing on membrane proteins (receptors/channels/transporters), synaptic proteins, other neuronal signaling molecules, and proteins with established links to disease states. The scope of the facility was expanded with supplements from the NIH Blueprint for Neuroscience Research to include neurodevelopmental targets, the NIH Roadmap for Medical Research to include epigenetics targets, and NIH Office of Rare Diseases Research to include rare disease targets. These NeuroMabs will then be produced on a large scale and made available to the neuroscience research community on an inexpensive basis as tissue culture supernatants or purified immunoglobulin by Antibodies Inc. The UC Davis/NIH NeuroMab Facility makes NeuroMabs available directly to end users and is unable to accommodate sales to distributors for third party distribution. Note, NeuroMab antibodies are now offered through antibodiesinc.

Proper citation: NeuroMab (RRID:SCR_003086) Copy   

•   Source: SciCrunch Registry

http://ccr.coriell.org/Sections/Collections/NIGMS/?SsId=8

Highly characterized cell lines and high quality DNA for cell and genetic research representing a variety of disease states, chromosomal abnormalities, apparently healthy individuals and many distinct human populations. The NIGMS Repository contains more than 10,600 cell lines, primarily fibroblasts and transformed lymphoblasts, and over 5,500 DNA samples. The NIGMS Repository has a major emphasis on heritable diseases and chromosomally aberrant cell lines. In addition, it contains a large collection dedicated to understanding human variation that includes samples from populations around the world, the CEPH collection, the Polymorphism Discovery Resource, and many apparently healthy controls. Human induced pluripotent stem cell lines, many of which were derived from NIGMS Repository fibroblasts, have recently become available through the NIGMS Repository. Sample donation facilitates all areas of research by making available well-characterized materials to any qualified researcher who might have otherwise been unable to invest the time and resources to collect needed samples independently. Donations to the Repository have created a resource of unparalleled scope. Samples from the collection have been used in more than 5,500 publications and are distributed to scientists in more than 50 countries. This resource is continuously expanding to support new directions in human genetics.

Proper citation: NIGMS Human Genetic Cell Repository (RRID:SCR_004517) Copy   

•   Source: SciCrunch Registry

http://www.gensat.org/retina.jsp

Collection of images from cell type-specific protein expression in retina using BAC transgenic mice. Images from cell type-specific protein expression in retina using BAC transgenic mice from GENSAT project.

Proper citation: Retina Project (RRID:SCR_002884) Copy   

•   Source: SciCrunch Registry

https://scicrunch.org/scicrunch/data/source/nlx_154697-16/search?q=*&l=

Integrated Grants is a virtual database currently indexing funded research resources including NIH Research Portfolio Online Reporting Tool (RePORT) (current grants, updated monthly) and ResearchCrossroads (1970-2008, defunct as of 2009).

Proper citation: Integrated Grants (RRID:SCR_003111) Copy   

•   Source: SciCrunch Registry

http://www.ncbi.nlm.nih.gov/taxonomy/

Database for a curated classification and nomenclature that contains the names of all organisms that are represented in the public sequence databases with at least one nucleotide or protein sequence. Data provided encompasses archaea, bacteria, eukaryota, viroids and viruses. The NCBI taxonomy database is not a primary source for taxonomic or phylogenetic information. Furthermore, the database does not follow a single taxonomic treatise but rather attempts to incorporate phylogenetic and taxonomic knowledge from a variety of sources, including the published literature, web-based databases, and the advice of sequence submitters and outside taxonomy experts. Consequently, the NCBI taxonomy database is not a phylogenetic or taxonomic authority and should not be cited as such.

Proper citation: NCBI Taxonomy (RRID:SCR_003256) Copy   

•   Source: SciCrunch Registry

https://scicrunch.org/scicrunch/data/source/nlx_154697-4/search?q=*

Virtual database indexing brain region gene expression data from mice from: Gene Expression Nervous System Atlas (GENSAT), Allen Mouse Brain Atlas, and Mouse Genome Institute (MGI).

Proper citation: Integrated Brain Gene Expression (RRID:SCR_004197) Copy   

•   Source: SciCrunch Registry

http://www.yeastgenome.org/

A curated database that provides comprehensive integrated biological information for Saccharomyces cerevisiae along with search and analysis tools to explore these data. SGD allows researchers to discover functional relationships between sequence and gene products in fungi and higher organisms. The SGD also maintains the S. cerevisiae Gene Name Registry, a complete list of all gene names used in S. cerevisiae which includes a set of general guidelines to gene naming. Protein Page provides basic protein information calculated from the predicted sequence and contains links to a variety of secondary structure and tertiary structure resources. Yeast Biochemical Pathways allows users to view and search for biochemical reactions and pathways that occur in S. cerevisiae as well as map expression data onto the biochemical pathways. Literature citations are provided where available.

Proper citation: SGD (RRID:SCR_004694) Copy   

•   Source: SciCrunch Registry

http://www.genomeweb.com/newsletter/daily-scan

A roundup of the most interesting mainstream media articles, blog posts, and peer-reviewed literature relevant to genomic and proteomic scientists. Published daily online and by e-mail bulletin.

Proper citation: Daily Scan (RRID:SCR_004656) Copy   

•   Source: SciCrunch Registry

http://scienceblogs.com/channel/brain-and-behavior/

ScienceBlogs posts about Brain & Behavior.

Proper citation: ScienceBlogs: Brain and Behavior (RRID:SCR_005159) Copy   

•   Source: SciCrunch Registry