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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.
http://epilepsy.uni-freiburg.de/database
A comprehensive database for human surface and intracranial EEG data that is suitable for a broad range of applications e.g. of time series analyses of brain activity. Currently, the EU database contains annotated EEG datasets from more than 200 patients with epilepsy, 50 of them with intracranial recordings with up to 122 channels. Each dataset provides EEG data for a continuous recording time of at least 96 hours (4 days) at a sample rate of up to 2500 Hz. Clinical patient information and MR imaging data supplement the EEG data. The total duration of EEG recordings included execeeds 30000 hours. The database is composed of different modalities: Binary files with EEG recording / MR imaging data and Relational database for supplementary meta data.
Proper citation: EPILEPSIE database (RRID:SCR_003179) Copy
THIS RESOURCE IS NO LONGER IN SERVICE; REPLACED BY NEPHROSEQ; A growing database of publicly available renal gene expression profiles, a sophisticated analysis engine, and a powerful web application designed for data mining and visualization of gene expression. It provides unique access to datasets from the Personalized Molecular Nephrology Research Laboratory incorporating clinical data which is often difficult to collect from public sources and mouse data.
Proper citation: Nephromine (RRID:SCR_003813) Copy
http://www.cnprc.ucdavis.edu/research/arc.aspx
The Analytical and Resource Core provides services and resources to the scientific research community in areas including hematology, clinical chemistry, genetics, immunology, endocrinology, flow cytometry, and pathogen detection. Available resources include biological specimens, viral stocks, DNA, and species-specific reagents. Scientists and staff associated with each of the seven Core Laboratories provide consultation in experimental design, sample collection, and data analysis, and offer assays that utilize species-specific reagents wherever possible. Core Laboratory scientists can also work with users to develop new assays to meet research needs. Training is available for all assays, and Core Laboratories equipment can be made available, typically on a recharge basis. Nonhuman primate resources developed at CNPRC are available to qualified individuals via the Resource Services component of the Core. * Clinical Laboratory * Endocrine Core Laboratory * Flow Cytometry Core Laboratory * Genetics Core Laboratory * Infectious Diseases Immunology Core Laboratory * Pathogen Detection Core Laboratory * Respiratory Disease Immunology Core Laboratory * Affiliated Laboratory: Clinical Proteomics Core Laboratory * Affiliated Laboratory: Microarray Core Facility * Resource Services: The following research resources of CNPRC are available to scientists on a recharge basis. ** Allergen: Characterized protein extracts of house dust mite (Dermatophagoides pteronyssinus and Dermatophagoides farinae) are available for allergen sensitization projects. ** Biological Specimens: Tissues collected at necropsy are available from rhesus monkeys (Macaca mulatta), cynomolgus monkeys (Macaca fascicularis), and titi monkeys (Callicebus cupreus). Contact: Biospecimens (at) primate.ucdavis.edu Blood samples are available through our blood donor program. ** Data: Data for colony animals are available from our computerized database. Data include birth records, weights, reproductive history, relocation history, etc. ** DNA: DNA extracted from peripheral blood mononuclear cells is available on animals of all age-sex classes from known pedigrees. ** Reagents and Samples: Reagents, controls, and known/unknown samples are available from the Pathogen Detection Core Laboratory. Samples include pedigreed sera/plasma, fixed tissues and DNA from macaques and various other species. Validated reagents for many pathogens are available, including SIV, SRV1-5, SFV, STLV, RRV, RhCMV, Herpes B, SV40, and LCV. More information is available at: http://pdl.primate.ucdavis.edu/PDLreagents.html. ** Shipping: Shipping services are available by trained staff who can properly document, package and ship critical experimental materials, including nonhuman primate samples. Assistance is also provided for obtaining CITES permits, required for international shipment of any nonhuman primate samples. ** Transformed B-Cell Lines: Cryopreserved Herpes papio - transformed B cell lines from over 300 rhesus monkeys in the CNPRC colony are available. Transformation of macaque B cells to establish a new cell line is available on request. ** Virus Stock: Rhesus Cytomegalovirus: A unique primary isolate, developed at CNPRC, is available. ** Virus Stock: Simian Immunodeficiency Virus: Aliquots of SIVmac251 and SIVmac239 virus stocks were prepared by propagation in peripheral blood mononuclear cells from rhesus macaques and contain approximately 100,000 50% tissue culture infectious doses per ml. As measured by the commercial SIV branched chain assay, SIVmac251 contains 2 x 109 copies of SIV RNA per ml and SIVmac239 contains 109 copies of SIV RNA per ml. These virus stocks are infectious for rhesus macaques by intravenous, intravaginal and oral routes of inoculation.
Proper citation: California National Primate Research Center Analytical and Resource Core (RRID:SCR_000696) Copy
http://mips.gsf.de/services/genomes/uwe25/
THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 15, 2013. This is the official database of the environmental chlamydia genome project. This resource provides access to finished sequence for Parachlamydia-related symbiont UWE25 and to a wide range of manual annotations, automatical analyses and derived datasets. Functional classification and description has been manually annotated according to the Annotation guidelines. Chlamydiae are the major cause of preventable blindness and sexually transmitted disease. Genome analysis of a chlamydia-related symbiont of free-living amoebae revealed that it is twice as large as any of the pathogenic chlamydiae and had few signs of recent lateral gene acquisition. We showed that about 700 million years ago the last common ancestor of pathogenic and symbiotic chlamydiae was already adapted to intracellular survival in early eukaryotes and contained many virulence factors found in modern pathogenic chlamydiae, including a type III secretion system. Ancient chlamydiae appear to be the originators of mechanisms for the exploitation of eukaryotic cells. Environmental chlamydiae have recently been recognized as obligate endosymbionts of free-living amoebae and have been implicated as potential human pathogens. Environmental chlamydiae form a deep branching evolutionary lineage within the medically important order Chlamydiales. Despite their high diversity and ubiquitous distribution in clinical and environmental samples only limited information about genetics and ecology of these microorganisms is available. The Parachlamydia-related Acanthamoeba symbiont UWE25 was therefore selected as representative environmental chlamydia strain for whole genome sequencing. Comparative genome analysis was performed using PEDANT and simap. Sponsors: The environmental chlamydia genome project was funded by the bmb+f (German Federal Ministry of Education and Research) and is part of the Competence Network PathoGenoMiK.
Proper citation: Protochlamydia amoebophila UWE25 (RRID:SCR_008222) Copy
http://dtp.nci.nih.gov/docs/3d_database/dis3d.html
The NCI DIS 3D database is a collection of 3D structures for over 400,000 drugs. The database is an extension of the NCI Drug Information System. The structural information stored in the DIS is only the connection table for each drug. The connection table is just a list of which atoms are connected and how they are connected. It is essentially a searcheable database of three-dimensional structures has been developed from the chemistry database of the NCI Drug Information System (DIS), a file of about 450,000 primarily organic compounds which have been tested by NCI for anticancer activity. The DIS database is very similar in size and content to the proprietary databases used in the pharmaceutical industry; its development began in the 1950s; and this history led to a number of problems in the generation of 3D structures. This information can be searched to find drugs that share similar patterns of connections, which can correlate with similar biological activity. But the cellular targets for drug action, as well as the drugs themselves, are 3 dimensional objects and advances in computer hardware and software have reached the point where they can be represented as such. In many cases the important points of interaction between a drug and its target can be represented by a 3D arrangement of a small number of atoms. Such a group of atoms is called a pharmacophore. The pharmacophore can be used to search 3D databases and drugs that match the pharmacophore could have similar biological activity, but have very different patterns of atomic connections. Having a diverse set of lead compounds increases the chances of finding an active compound with acceptable properties for clinical development. Sponsor: The ICBG are supported by the Cooperative Agreement mechanism, with funds from nine components of the NIH, the National Science Foundation, and the Foreign Agricultural Service of the USDA.
Proper citation: National Cancer Institute 3D Structure Database (RRID:SCR_008211) Copy
A database housing longitudinal relational research data from over 4,000 research subjects. The database includes the following types of data: physical and neurological exam findings, neurocognitive test scores, personal and family history of dementia, personal demographic genotypes (APOE, HLA), age at service evaluations, age at onset, age at death, clinical diagnosis, neuropathology diagnosis, tissue inventory information (when available), health status, medications, laboratory tests, and MRI data.
Proper citation: Layton Center Clinical Data Resources (RRID:SCR_008822) Copy
http://fcon_1000.projects.nitrc.org/indi/pro/nyu.html
Datasets including a collection of scans from 49 psychiatrically evaluated neurotypical adults, ranging in age from 6 to 55 years old, with age, gender and intelligence quotient (IQ) information provided. Future releases will include more comprehensive phenotypic information, and child and adolescent datasets, as well as individuals from clinical populations. The following data are released for every participant: * At least one 6-minute resting state fMRI scan (R-fMRI) * * One high-resolution T1-weighted mprage, defaced to protect patient confidentiality * Two 64-direction diffusion tensor imaging scans * Demographic information (age, gender) and IQ-measures (Verbal, Performance, and Composite; Weschler Abbreviated Scale of Intelligence - WASI) * Most participants have 2 R-fMRI scans, collected less than 1 hour apart in the same scanning session. Rest_1 is always collected first.
Proper citation: NYU Institute for Pediatric Neuroscience Sample (RRID:SCR_010458) Copy
http://fcon_1000.projects.nitrc.org/indi/retro/cobre.html
Data set of raw anatomical and functional MR data from 72 patients with Schizophrenia and 75 healthy controls (ages ranging from 18 to 65 in each group). All subjects were screened and excluded if they had: history of neurological disorder, history of mental retardation, history of severe head trauma with more than 5 minutes loss of consciousness, history of substance abuse or dependence within the last 12 months. Diagnostic information was collected using the Structured Clinical Interview used for DSM Disorders (SCID). A multi-echo MPRAGE (MEMPR) sequence was used with the following parameters: TR/TE/TI = 2530/(1.64, 3.5, 5.36, 7.22, 9.08)/900 ms, flip angle = 7��, FOV = 256x256 mm, Slab thickness = 176 mm, Matrix = 256x256x176, Voxel size =1x1x1 mm, Number of echos = 5, Pixel bandwidth =650 Hz, Total scan time = 6 min. With 5 echoes, the TR, TI and time to encode partitions for the MEMPR are similar to that of a conventional MPRAGE, resulting in similar GM/WM/CSF contrast. Rest data was collected with single-shot full k-space echo-planar imaging (EPI) with ramp sampling correction using the intercomissural line (AC-PC) as a reference (TR: 2 s, TE: 29 ms, matrix size: 64x64, 32 slices, voxel size: 3x3x4 mm3). Slice Acquisition Order: Rest scan - collected in the Axial plane - series ascending - multi slice mode - interleaved MPRAGE - collected in the Sag plane - series interleaved - multi slice mode - single shot The following data are released for every participant: * Resting fMRI * Anatomical MRI * Phenotypic data for every participant including: gender, age, handedness and diagnostic information.
Proper citation: COBRE (RRID:SCR_010482) Copy
http://www.ninds.nih.gov/disorders/disorder_index.htm
Reference disease data set of neurological diseases along with their definitions, etiology, treatment, prognosis, ongoing research, clinical trials information and publications. The Disorder Index includes synonyms and research topics. Navigation is by letter of the alphabet., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: NINDS Disorder Index (RRID:SCR_000433) Copy
Biomedical Technology Resource Center that serves as a national resource for all aspects of research into medical procedures that are enhanced by imaging. Its common goal is to provide more effective patient care. The center is focused on the multidisciplinary development of innovative image-guided intervention technologies to enable effective, less invasive clinical treatments that are not only more economical, but also produce better results for patients. The NCIGT is helping to implement this vision by serving as a proving ground for some of the next generation of medical therapies.
Proper citation: National Center for Image-Guided Therapy (RRID:SCR_001419) Copy
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
https://genome-cancer.ucsc.edu/
A suite of web-based tools to visualize, integrate and analyze cancer genomics and its associated clinical data. It is possible to display your own clinical data within one of their datasets.
Proper citation: UCSC Cancer Genomics Browser (RRID:SCR_011796) Copy
http://tcm.lifescience.ntu.edu.tw/index.html
TCMGeneDIT is a database system providing association information about traditional Chinese medicines (TCMs), genes, diseases, TCM effects and TCM ingredients automatically mined from vast amount of biomedical literature. Integrated protein-protein interaction and biological pathways information collected from public databases are also available. In addition, the transitive relationships among genes, TCMs and diseases could be inferred through the shared intermediates. Furthermore, TCMGeneDIT is useful in deducing possible synergistic or antagonistic contributions of the prescription components to the overall therapeutic effects. TCMGeneDIT is a unique database of various association information about TCMs. The database integrating TCMs with life sciences and biomedical studies would facilitate the modern clinical research and the understanding of therapeutic mechanisms of TCMs and gene regulations.
Proper citation: TCMGeneDIT (RRID:SCR_013396) Copy
https://www.clinicalgenome.org
Genomics knowledgebase for clinical relevance of genes and variants for use in research. ClinGen's primary function is to store and share information for the benefit of the scientific community. Laboratory scientists, clinicians, and patients can share and access data.
Proper citation: ClinGen (RRID:SCR_014968) Copy
http://www.ncbi.nlm.nih.gov/medgen/
A database of organized information related to human medical genetics, such as attributes of conditions with a genetic contribution.
Proper citation: MedGen (RRID:SCR_000111) Copy
The official compendium for the Anatomical Therapeutic Chemical Classification System (ATC)-code descriptions. The Centre's main tasks are development and maintenance of the ATC/DDD system, including: * To classify drugs according to the ATC system. * Priority will be given to the classification of single substances, while combination products available internationally (i.e. important fixed combinations) will be dealt with as far as possible. * To establish DDDs for drugs which have been assigned an ATC code. * To review and revise as necessary the ATC classification system and DDDs. * To stimulate and influence the practical use of the ATC system by co-operating with researchers in the drug utilization field. Support: The WHO Collaborating Centre for Drug Statistics Methodology was established in 1982. The Centre is situated in Oslo at the Norwegian Institute of Public Health. The Centre is funded by the Norwegian government.
Proper citation: WHO Collaborating Centre for Drug Statistics Methodology (RRID:SCR_000677) Copy
http://www.ipha.ie/alist/ifpma-clinical-trials-portal.aspx
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. IFPMA Clinical Trials Portal is brought to you by IFPMA on behalf of its Member Companies and Associations. IFPMA Clinical Trials Portal ensures: a free and easy-to-use interface for patients and health professionals alike to ongoing clinical trials, clinical trial results and complementary information on related issues; non-promotional and reliable information; industry's commitment to the transparency of clinical trials. * Search by Medical Condition and Drug Name * Language Interfaces (En, Es, Fr, De, Jp) * Glossary and Easy Explanation of Medical Expressions * Geographical Search
Proper citation: IFPMA Clinical Trials Portal (RRID:SCR_000791) Copy
http://www.ncbi.nlm.nih.gov/gap
Database developed to archive and distribute clinical data and results from studies that have investigated interaction of genotype and phenotype in humans. Database to archive and distribute results of studies including genome-wide association studies, medical sequencing, molecular diagnostic assays, and association between genotype and non-clinical traits.
Proper citation: NCBI database of Genotypes and Phenotypes (dbGap) (RRID:SCR_002709) Copy
Database and central repository for genetic, genomic, molecular and cellular phenotype data and clinical information about people who have participated in pharmacogenomics research studies. The data includes, but is not limited to, clinical and basic pharmacokinetic and pharmacogenomic research in the cardiovascular, pulmonary, cancer, pathways, metabolic and transporter domains. PharmGKB welcomes submissions of primary data from all research into genes and genetic variation and their effects on drug and disease phenotypes. PharmGKB collects, encodes, and disseminates knowledge about the impact of human genetic variations on drug response. They curate primary genotype and phenotype data, annotate gene variants and gene-drug-disease relationships via literature review, and summarize important PGx genes and drug pathways. PharmGKB is part of the NIH Pharmacogenomics Research Network (PGRN), a nationwide collaborative research consortium. Its aim is to aid researchers in understanding how genetic variation among individuals contributes to differences in reactions to drugs. A selected subset of data from PharmGKB is accessible via a SOAP interface. Downloaded data is available for individual research purposes only. Drugs with pharmacogenomic information in the context of FDA-approved drug labels are cataloged and drugs with mounting pharmacogenomic evidence are listed.
Proper citation: PharmGKB (RRID:SCR_002689) Copy
Common data management resource and web portal to promote discovery of Parkinson's Disease diagnostic and progression biomarker candidates for early detection and measurement of disease progression. PDBP will serve as multi-faceted platform for integrating existing biomarker efforts, standardizing data collection and management across these efforts, accelerating discovery of new biomarkers, and fostering and expanding collaborative opportunities for all stakeholders.
Proper citation: Parkinson’s Disease Biomarkers Program Data Management Resource (PDBP DMR) (RRID:SCR_002517) Copy
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