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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.
Data repository for neuroimaging data in DlCOM and NIFTI formats. It allows users to search for and freely download publicly available data sets relating to normal subjects and those with diagnoses such as: schizophrenia, ADHD, autism, and Parkinson's disease.XNAT-based image registry that supports both NIfTI and DICOM images to promote re-use and integration of NIH funded data.
Proper citation: NITRC-IR (RRID:SCR_004162) Copy
http://www.nature.com/neurosci/neuropod/index.html
NeuroPod is the neuroscience podcast from Nature, produced in association with the Dana Foundation. Each month, join us as we delve into the latest research on the brain, from its molecular makings to the mysteries of the mind. We''ll also be bringing you the latest news from neuroscience conferences around the globe, along with special reports on hot areas in neuroscience.
Proper citation: NeuroPod (RRID:SCR_004329) Copy
http://www.dana.org/danaalliances/programs/graymatters/
THIS RESOURCE IS NO LONGER IN SERVICE, documented on September 06, 2013. Gray Matters is a radio series on brain topics that has been produced since 1994 by Public Radio International in association with the Dana Alliance. More than 25 programs have been created on topics ranging from stress, neuroethics, learning throughout life and sports, fitness and the Brain. Dana Alliance members serve as advisers to Gray Matters programming and are interviewed during the programs. The transcripts are also available.
Proper citation: Gray Matters (RRID:SCR_004433) Copy
Public, high-value federal datasets, tools, and applications using data about health and health care gathered from agencies across the U.S. government.
Proper citation: Health.Data.gov (RRID:SCR_004386) Copy
Database of genetic and molecular biology data for the model higher plant Arabidopsis thaliana. Data available includes the complete genome sequence along with gene structure, gene product information, metabolism, gene expression, DNA and seed stocks, genome maps, genetic and physical markers, publications, and information about the Arabidopsis research community. Gene product function data is updated every two weeks from the latest published research literature and community data submissions. Gene structures are updated 1-2 times per year using computational and manual methods as well as community submissions of new and updated genes. TAIR also provides extensive linkouts from data pages to other Arabidopsis resources. The data can be searched, viewed and analyzed. Datasets can also be downloaded. Pages on news, job postings, conference announcements, Arabidopsis lab protocols, and useful links are provided.
Proper citation: TAIR (RRID:SCR_004618) Copy
http://www.genedb.org/Homepage/Lmajor
Database of the most recent sequence updates and annotations for the L. major genome. New annotations are constantly being added to keep up with published manuscripts and feedback from the Trypanosomatid research community. You may search by Protein Length, Molecular Mass, Gene Type, Date, Location, Protein Targeting, Transmembrane Helices, Product, GO, EC, Pfam ID, Curation and Comments, and Dbxrefs. BLAST and other tools are available. Leishmania species cause a spectrum of human diseases in tropical and subtropical regions of the world. We have sequenced the 36 chromosomes of the 32.8-megabase haploid genome of Leishmania major (Friedlin strain) and predict 911 RNA genes, 39 pseudogenes, and 8272 protein-coding genes, of which 36% can be ascribed a putative function. These include genes involved in host-pathogen interactions, such as proteolytic enzymes, and extensive machinery for synthesis of complex surface glycoconjugates. The Pathogen Genomics group at the Wellcome Trust Sanger Institute played a major role in sequencing the genome of Leishmania major (see Ivens et al.) Details of the centres involved and which chromosomes they sequenced, are given. The sequence data were obtained by adopting several parallel approaches, including complete cosmid sequencing, whole chromosome shotguns and/or BAC sequencing/skimming. The Leishmania parasite is an intracellular pathogen of the immune system targeting macrophages and dendritic cells. The disease Leishmaniasis affects the populations of 88 counties worldwide with symptoms ranging from disfiguring cutaneous and muco-cutaneous lesions that can cause widespread destruction of mucous membranes to visceral disease affecting the haemopoetic organs. In collaboration with GeneDB, the EuPathDB genomic sequence data and annotations are regularly deposited on TriTrypDB where they can be integrated with other datasets and queried using customized queries.
Proper citation: GeneDB Lmajor (RRID:SCR_004613) Copy
http://www.informatics.jax.org/searches/MP_form.shtml
Community ontology to provide standard terms for annotating mammalian phenotypic data. It has a hierarchical structure that permits a range of detail from high-level, broadly descriptive terms to very low-level, highly specific terms. This range is useful for annotating phenotypic data to the level of detail known and for searching for this information using either broad or specific terms as search criteria. Your input is welcome.
Proper citation: MPO (RRID:SCR_004855) Copy
http://www.aan.com/rss/?event=feed&channel=1
Neurology Podcast is a weekly podcast of content from Neurology, the official journal of the American Academy of Neurology. The Neurology podcast is introduced by Editor-in-Chief Robert A. Gross, MD, PhD, who discusses several highlighted articles in the current issue of the journal. The podcast features an interview with the author of an article in the current issue that summarizes the paper and discusses the main findings and clinical implications for neurologists. It concludes with the Lesson of the Week, a short segment on a topic such as a laboratory technique, statistical methods, or historical neurology.
Proper citation: Neurology Podcast (RRID:SCR_004887) Copy
System that classifies genes by their functions, using published scientific experimental evidence and evolutionary relationships to predict function even in absence of direct experimental evidence. Orthologs view is curated orthology relationships between genes for human, mouse, rat, fish, worm, and fly., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: PANTHER (RRID:SCR_004869) Copy
http://www.nature.com/npp/podcast/index.html
BrainPod is the podcast from the journal Neuropsychopharmacology. Join us as we delve into the latest basic and clinical research that advance our understanding of the brain and behavior, featuring highlighted content from a top journal in fields of neuroscience, psychiatry, and pharmacology.
Proper citation: BrainPod (RRID:SCR_004779) Copy
http://neuroscienceblueprint.nih.gov/factSheet/MicronCon.htm
THIS RESOURCE IS NO LONGER IN SERVICE, documented on April 24, 2012. (no longer being funded) The NIH Microarray Consortium provides for-fee services to a community of NIH grantees, together with a more limited set of services to the public. The primary goal of this consortium is to move basic and translational research forward through acquisition and dissemination of high quality genomic data. This site includes a repository of microarray data sets and offers one-click links to public projects. These datasets were generated by various researchers on these platforms: Affymetrix, Agilent, Ambion, cDNA, Illumina, and Operon. The species currently covered are: Arabidopsis, Bovine, chicken, C. Elegans, Drosophila, Human, Macaca mulatta (Rhesus macaque), Mouse, Rat, Songbird, Xenopus, Yeast, and zebra finch. Basic search functions allows users to choose multiple options for finding the projects that interest them, and raw data files can also be downloaded after user registration. Web-based data analysis tools are also available. Scientists can analyze microarray data from the consortium repository or investigators can upload outside data for analysis.
Proper citation: NIH Neuroscience Microarray Consortium (RRID:SCR_004930) Copy
http://brain-development.org/ixi-dataset/
Data set of nearly 600 MR images from normal, healthy subjects, along with demographic characteristics, collected as part of the Information eXtraction from Images (IXI) project available for download. Tar files containing T1, T2, PD, MRA and DTI (15 directions) scans from these subjects are available. The data has been collected at three different hospitals in London: * Hammersmith Hospital using a Philips 3T system * Guy''s Hospital using a Philips 1.5T system * Institute of Psychiatry using a GE 1.5T system
Proper citation: IXI dataset (RRID:SCR_005839) Copy
http://www.human-phenotype-ontology.org/
Provides standardized vocabulary of phenotypic abnormalities encountered in human disease. Structured and controlled vocabulary for phenotypic features encountered in human hereditary and other disease. HPO is being developed in collaboration with members of OBO Foundry (Open Biological and Biomedical Ontologies), and logical definitions for HPO terms are being developed using PATO and a number of other ontologies including FMA, GO, ChEBI, and MPATH.
Proper citation: Human Phenotype Ontology (RRID:SCR_006016) Copy
Public registry of antibodies with unique identifiers for commercial and non-commercial antibody reagents to give researchers a way to universally identify antibodies used in publications. The registry contains antibody product information organized according to genes, species, reagent types (antibodies, recombinant proteins, ELISA, siRNA, cDNA clones). Data is provided in many formats so that authors of biological papers, text mining tools and funding agencies can quickly and accurately identify the antibody reagents they and their colleagues used. The Antibody Registry allows any user to submit a new antibody or set of antibodies to the registry via a web form, or via a spreadsheet upload.
Proper citation: Antibody Registry (RRID:SCR_006397) Copy
http://elementsofmorphology.nih.gov/
Data set of standardized terms used to describe human morphology including definitions of terms for the craniofacies in general, the major components of the face, and the hands and feet. This provides a uniform and internationally accepted terms to describe the human phenotype.
Proper citation: elements of morphology (RRID:SCR_003707) Copy
http://synapses.clm.utexas.edu
A portal into the 3D ultrastructure of the brain providing: Anatomy of astrocytes, axons, dendrites, hippocampus, organelles, synapses; procedures of 3D reconstruction and tissue preparation; as well as an atlas of ultrastructural neurocytology (by Josef Spacek), online aligned images, and reconstructed dendrites. Synapse Web hosts an ultrastructural atlas containing more than 500 electron micrographs (added to regularly) that identify unique ultrastructural and cellular components throughout the brain. Additionally, Synapse Web has raw images, reconstructions, and quantitative data along with tutorial instructions and numerous tools for investigating the functional structure of objects that have been serial thin sectioned for electron microscopy.
Proper citation: Synapse Web (RRID:SCR_003577) Copy
Data repository where researchers can publicly store and share unthresholded statistical brain activation maps produced by MRI and PET studies.
Proper citation: NeuroVault (RRID:SCR_003806) Copy
http://mnimedia.mcgill.ca/podcasts/
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 16,2023. Collection of podcasts which features experts of the Montreal Neurological Institute and Hospital talking about their research, along with important issues and current events regarding it.
Proper citation: MNI Podcasts (RRID:SCR_000021) Copy
A podcast hosted by Kristin Sanford and Justin Jackson to explain recent scientific research and developments in a wide range of scientific phenomenon.
Proper citation: This Week In Science (RRID:SCR_000537) Copy
http://www.guardian.co.uk/science/series/science
Alok Jha and the Guardian's science team bring you the best analysis and interviews from the worlds of science and technology.
Proper citation: The Guardian: Science Weekly (RRID:SCR_000674) Copy
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