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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.
Open access repository for Johns Hopkins University researchers to share their research data. Data repository is administered by professional curators at JHU Data Services, who will work with depositors to enable future discovery and reuse of your data, and ensure your data is Findable, Accessible, Interoperable and Reusable (FAIR). Each dataset has citation and DOI, facilitating attribution, and connection to research publications.
Proper citation: Johns Hopkins Research Data Repository (RRID:SCR_014728) Copy
A consortium of leading national Australian universities which collects and preserves digital research data and makes these data available for secondary analysis. The consortium provides a data catalogue comprised of seven sub-archives: Social Science, HIstorical, Indigenous, Longitudinal, Qualitative, Crime and Justice, and International. All users can browse and search the catalogue, view study and variable documentation, and download related material. Registered users can also analyze and visualize most data online and users who have completed the relevant undertaking form(s) can download entire studies or subsets of variables. Deposited data are processed, reviewed, and published for research use.
Proper citation: Australian Data Archive (RRID:SCR_014706) Copy
Imaging center dedicated to fostering research in the social, behavioral, biological, engineering, and materials sciences where imaging methodologies play a central role. The SLEIC provides the Penn State research community with instrumentation, technological and substantive expertise, educational opportunities, and financial support for conducting magnetic resonance imaging (MRI) and electrophysiology (EEG, ERP) experiments.
Proper citation: Pennsylvania State University SLEIC (RRID:SCR_014922) Copy
https://www.genome-cloud.com/user/
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 29, 2019. A cloud platform for next-generation sequencing analysis and storage. Services include: * g-Analysis: Automated genome analysis pipelines at your fingertips * g-Cluster: Easy-of-use and cost-effective genome research infrastructure * g-Storage: A simple way to store, share and protect data * g-Insight: Accurate analysis and interpretation of biological meaning of genome data
Proper citation: GenomeCloud (RRID:SCR_011886) Copy
http://www.biobanks.se/medicalbiobank.htm
A biobank created from a cross-sectional population of a town in Sweden. The Medical Biobank is mainly based on three cohorts: The V��sterbotten intervention cohort, the MONICA-cohort, and the Mammary screening cohort. These sub-cohorts together are named Northern Sweden Health and Disease Study Cohort (North Health). These sub-cohorts together is named Northern Sweden Health and Disease Study Cohort (North Health). Originally, the V��sterbotten Intervention program (VIP) is a long-term project intended for health promotion of the population of V��sterbotten. All individuals 40, 50 and 60 years of age in the population of the county are invited for screening (approx. 254.000 inhabitants). They are asked to complete a questionnaire concerning various lifestyle factors including diet. They are also asked to donate a separate blood sample to the Medical Biobank for freeze storage for later research purposes. The project started in 1985 and the cohort covered in December 2002, 74,000 individuals, of whom 67,000 had donated blood samples. The material is supplemented with population based samples from a local mammary screening (44,000 sampling occasions, 25,700 unique individuals) and from the Northern Sweden MONICA Project (11,500 sampling occasions, 7,500 unique individuals). The total cohort contains at the moment 85.000 unique individuals with 130.000 sampling occasions. The VIP and MONICA cohorts are population based and the mammary screening cohort are nearly population based. Follow-up: * For the VIP-cohort a second sample (and questionnaire) is collected with a 10-year interval of the individuals within the cohort. * Repeated sampling was performed in the MONICA project in 1999 on individuals participating in 1986, 1990, and 1994. * From 1997 repeated screening has started within the mammary screening program with sampling every second year, in the age group 50-69 years within the county. Biobank content: * Life-Style Questionnaire: Every attending subject is asked to answer a questionnaire, which in the VIP and MONICA-projects includes questions about education, occupation/working conditions, daily habits including smoking, diet, etc and in the mammary screening cohort on reproductive conditions. The dietary questionnaire has been validated twice. The data from the questionnaires, as well as from results from the biobank, are kept in a database for future research purposes. The questionnaires in the VIP and the MONICA project are optically read. * Measurements: Blood Pressure, Anthropometry, Glucose Tolerance Test, Blood Lipids * Blood Samples: The attendants are asked for their willingness to donate a sample of 20-ml whole blood for future analyses. The sample is taken after 4 hours of fasting or in the morning after an over night fasting (most samples) in the VIP and MONICA cohorts. The 20-ml sample is divided into 10 subsamples consisting of 6 plasma, 2 leukocyte (buffy coat) and 2 erythrocyte samples. All material is frozen at -80 degrees C. The organization of the bank is elaborated with specially trained staff and an organization of transport-, storage- and security facilities. For DNA handling a specialized laboratory has been built up. * End-points: Mortality, Cancer events, Cardiovascular events, Other morbidity, Other registry-based follow-up * Registries: At regular intervals the cohort is scanned for incident myocardial infarctions (MI) and stroke utilizing the Northern Sweden MONICA registry and for cancer using the regional cancer registry. In the future the same procedure will be applied also on other registries e.g. diabetes, osteoporosis, dementia.
Proper citation: Medical Biobank (RRID:SCR_010748) Copy
Project whose goal is to improve health care and lessen the global burden of TBI through the discovery of causal relationships between treatments and clinically meaningful outcomes. InTBIR seeks to encourage well-designed, hypothesis-driven studies that include the collection of high quality data followed by rigorous statistical analysis.
Proper citation: International Initiative for Traumatic Brain Injury Research (RRID:SCR_016237) Copy
https://github.com/hpardoe/napr/
Cloud-based framework that allows users to estimate the age of individual subjects using cortical thickness maps derived from their own locally processed T1-weighted whole brain MRI scans. The provided age prediction models were trained using (i) relevance vector machines and (ii) Gaussian processes machine learning methods applied to cortical thickness surfaces obtained using Freesurfer v5.3.
Proper citation: NAPR: Neuroanatomical Age Prediction using R (RRID:SCR_015759) Copy
https://www.quantumbiologyinstitute.org/
Institute that provides resources and researches the concepts and mechanisms which underlie the complexities of biology. In particular, it incorporates concepts in physics and mathematics to resolve, unravel, and explain complex biological mechanisms and conditions.
Proper citation: Quantum Biology Institute (RRID:SCR_015855) Copy
University-affiliated center that promotes research in diabetes and related metabolic and endocrine disorders at Stanford University.
Proper citation: Stanford Diabetes Research Center (RRID:SCR_015856) Copy
Brain-CODE is a large-scale informatics platform that manages the acquisition and storage of multidimensional data collected from participants with a variety of brain disorders.
Proper citation: Brain-CODE (RRID:SCR_015877) Copy
Data repository for integrative/hybrid structural models of macromolecules and their assemblies. This includes atomistic models as well as multi-scale models consisting of different coarse-grained representations.
Proper citation: PDB-Dev (RRID:SCR_016185) Copy
An international consortium whose goals are to enable faster comparative studies and develop tools that make analysis accessible to the wider scientific community. InterMOD is an open source data warehouse where users can query and input their own data, access analysis tools, and create their own InterMine. Five core mines make make up InterMOD: RGD, SGD ZFIN, MGI, and WormBase.
Proper citation: InterMOD (RRID:SCR_013808) Copy
An online rental equipment marketplace which connects renters to instrument suppliers from various industries. Renters can rent directly from suppliers or request quotes from different suppliers.
Proper citation: KWIPPED (RRID:SCR_014061) Copy
Network of clinical centers and a data coordinating center established to conduct studies of islet transplantation in patients with type 1 diabetes.
Proper citation: Clinical Islet Transplantation Consortium (CITC) (RRID:SCR_014385) Copy
Satellite facility that downlinks, processes, archives, and distributes remote-sensing data to scientific users around the world. Three major components: * Satellite Tracking Ground Station: Part of NASA?s Near Earth Network system of ground stations around the world. * Synthetic Aperture Radar Distributed Active Archive Center (SAR DAAC): ASF maintains the NASA archive of SAR data from a variety of satellites and aircraft, and provides these data and associated specialty support services to U.S. Government-approved researchers in support of NASA?s Earth Science Data and Information System project. * ASF Enterprise Center (ASFE): In support of UAF?s mission to be a student-centered research university, the ASF-E focuses on applications of remote-sensing data, specifically for UAF research. The ASF-E includes the GeoData Center (GDC), which provides data management and archive services for UAF principal investigators and maintains a variety of geophysical data collections in support of scientific research.
Proper citation: Alaska Satellite Facility (RRID:SCR_003610) Copy
An MRI data repository that holds a set of 7 Tesla images and behavioral metadata. Multi-faceted brain image archive with behavioral measurements. For each participant a number of different scans and auxiliary recordings have been obtained. In addition, several types of minimally preprocessed data are also provided. The full description of the data release is available in a dedicated publication. This project invites anyone to participate in a decentralized effort to explore the opportunities of open science in neuroimaging by documenting how much (scientific) value can be generated out of a single data release by publication of scientific findings derived from a dataset, algorithms and methods evaluated on this dataset, and/or extensions of this dataset by acquisition and integration of new data.
Proper citation: studyforrest.org (RRID:SCR_003112) Copy
Platform to support research and enable collaboration. Used to discover projects, data, materials, and collaborators helpful to your own research.
Proper citation: Open Science Framework (RRID:SCR_003238) 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
Bioinformatics platform for storing, organizing, processing, and sharing genomic and other biomedical big data. Designed to make it easier for bioinformaticians to develop analyses, developers to create genomic web applications and IT administers to manage large-scale compute and storage genomic resources. Designed to run on top of cloud operating systems such as Amazon Web Services and OpenStack. Currently, there are implementations that work on AWS and Xen+Debian/Ubuntu. Functionally, Arvados has two major sets of capabilities: (a) data management and (b) compute management.
Proper citation: Arvados (RRID:SCR_002223) Copy
http://www.incf.org/resources/data-space/
THIS RESOURCE IS NO LONGER IN SERVICE. Documented August 21, 2017.
Repository for sharing of neuroscience data, text, images, sounds, movies, models and simulations.
Proper citation: INCF Dataspace (RRID:SCR_000158) Copy
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