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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.
SPARC data repository as of 2023 is an open data repository developed as part of the NIH SPARC initiative and has been used by SPARC funded investigator groups to curate and publish high quality datasets related to the autonomic nervous system. We are thrilled that as of August 2022, SPARC is accepting datasets from investigators that are not funded through the NIH SPARC program. The NIH's Common Fund Stimulating Peripheral Activity to Relieve Conditions (SPARC) program aims to transform our understanding of these nerve-organ interactions and ultimately advance neuromodulation field toward precise treatment of diseases and conditions for which conventional therapies fall short.
Proper citation: SPARC Portal (RRID:SCR_017041) Copy
https://github.com/genouest/biomaj
Software workflow engine dedicated to data synchronization and processing. Software automates the update cycle and the supervision of the locally mirrored databank repository.
Proper citation: BioMAJ (RRID:SCR_023983) Copy
https://github.com/di-0579/spatial_tri-omics
Software repository to share the raw data processing and visualization codes used in the spatial tri-omics project.
Proper citation: spatial_tri-omics (RRID:SCR_026194) Copy
https://www.openicpsr.org/openicpsr/
Web service of Inter-university Consortium for Political and Social Research. Self-publishing repository for social, behavioral, and health sciences research data. Used for deposit of replication data sets for researchers who need to publish their raw data associated with journal article so that other researchers can replicate their findings.
Proper citation: OpenICPSR (RRID:SCR_019106) Copy
Services for the long-term preservation and curation of America's digital data - data of any type or size, with minimal requirements on the data provider. It has the capacity to preserve hundreds of terabytes of digital data and comprises several partner organizations that provide a wide range of services. The project leverages high-speed networks, mass-scale storage capabilities, and the expertise of the partners in order to provide a geographically distributed, heterogeneous, and highly redundant archive system. Features of the project include: * Three geographically distributed copies of the data * Curatorial audit reporting * Development of best practices for data packaging and sharing Chronopolis is available to anyone who wants to have their data preserved. Storage is based on a yearly, per-terabyte charge. The smallest unit available is one terabyte; collections smaller than this will be charged the one terabyte rate.
Proper citation: chronopolis (RRID:SCR_003116) Copy
http://jcb-dataviewer.rupress.org/
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 14,2026. A web-based, multi-dimensional image data-viewing application for original microscopy image datasets associated with articles published in The Journal of Cell Biology, a peer-reviewed journal published by The Rockefeller University Press. The JCB DataViewer can host multidimensional fluorescence microscopy images, 3D tomogram data, very large (gigapixel) images, and high content imaging screens. Images are presented in an interactive viewer, and the scores from high content screens are presented in interactive graphs with data points linked to the relevant images. The JCB DataViewer uses the Bio-Formats library to read over 120 different imaging file formats and convert them to the OME-TIFF image data standard. Image data are archived by the Journal and may be freely accessed by readers using the JCB DataViewer. Download of author-provided image data and associated metadata in OME-TIFF format is also possible with author permission, allowing for independent analysis of image data irrespective of acquisition or viewing software. Although the JCB DataViewer is designed to host and facilitate sharing and analysis of original microscopy image data, authors may also upload other types of original image data as supplements to their manuscripts, including histology and electron micrographs and digital scans of gels or blots.
Proper citation: JCB DataViewer (RRID:SCR_002633) Copy
https://www.qut.edu.au/research/research-projects/landmark-biobanks
A repository of human tissue samples collected during the LANDMark study (Longitudinal Assessment of Neuropathy in Diabetes using novel ophthalmic markers). The LANDMark Biobank longitudinal dataset contains blood and tissue (skin) samples and matching detailed phenotypic data of three microvascluar complications of type 1 diabetes: neuropathy, nephropathy and retinopathy.
Proper citation: LANDMark BioBanks (RRID:SCR_014534) Copy
http://s-quest.bihealth.org/fiddle/
Software interactive tool to help researchers to identify most appropriate publication format for their dataset that may be hard to publish in traditional journals. Formats include data repositories, micropublications, preprints, data journals, publishing platforms and journals that are open to null results. Users can search for publication format that meets their needs, compare and contrast formats, and find links to publishers. Open source tool to combat publication bias by getting research out of file drawer and into scientific community.
Proper citation: fiddle (RRID:SCR_017327) Copy
Data sharing repository of clinical trials, associated mechanistic studies, and other basic and applied immunology research programs. Platform to store, analyze, and exchange datasets for immune mediated diseases. Data supplied by NIAID/DAIT funded investigators and genomic, proteomic, and other data relevant to research of these programs extracted from public databases. Provides data analysis tools and immunology focused ontology to advance research in basic and clinical immunology.
Proper citation: The Immunology Database and Analysis Portal (ImmPort) (RRID:SCR_012804) Copy
http://www.emdataresource.org/
Portal for deposition and retrieval of cryo electron microscopy (3DEM) density maps, atomic models, and associated metadata. Global resource for 3 Dimensional Electron Microscopy structure data archiving and retrieval, news, events, software tools, data standards, validation methods.
Proper citation: EMDataResource.org (RRID:SCR_003207) Copy
http://bioinfo2.ugr.es/NGSmethDB/
A dedicated database for the storage, browsing and data mining of whole-genome, single-base-pair resolution methylomes.
Proper citation: NGSmethDB (RRID:SCR_012847) Copy
Database of traceable, standardized, annotated gene signatures which have been manually curated from publications that are indexed in PubMed. The Advanced Gene Search will perform a One-tailed Fisher Exact Test (which is equivalent to Hypergeometric Distribution) to test if your gene list is over-represented in any gene signature in GeneSigDB. Gene expression studies typically result in a list of genes (gene signature) which reflect the many biological pathways that are concurrently active. We have created a Gene Signature Data Base (GeneSigDB) of published gene expression signatures or gene sets which we have manually extracted from published literature. GeneSigDB was creating following a thorough search of PubMed using defined set of cancer gene signature search terms. We would be delighted to accept or update your gene signature. Please fill out the form as best you can. We will contact you when we get it and will be happy to work with you to ensure we accurately report your signature. GeneSigDB is capable of providing its functionality through a Java RESTful web service.
Proper citation: GeneSigDB (RRID:SCR_013275) Copy
https://omictools.com/l2l-tool
THIS RESOURCE IS NO LONGER IN SERVICE, documented May 10, 2017. A pilot effort that has developed a centralized, web-based biospecimen locator that presents biospecimens collected and stored at participating Arizona hospitals and biospecimen banks, which are available for acquisition and use by researchers. Researchers may use this site to browse, search and request biospecimens to use in qualified studies. The development of the ABL was guided by the Arizona Biospecimen Consortium (ABC), a consortium of hospitals and medical centers in the Phoenix area, and is now being piloted by this Consortium under the direction of ABRC. You may browse by type (cells, fluid, molecular, tissue) or disease. Common data elements decided by the ABC Standards Committee, based on data elements on the National Cancer Institute''s (NCI''s) Common Biorepository Model (CBM), are displayed. These describe the minimum set of data elements that the NCI determined were most important for a researcher to see about a biospecimen. The ABL currently does not display information on whether or not clinical data is available to accompany the biospecimens. However, a requester has the ability to solicit clinical data in the request. Once a request is approved, the biospecimen provider will contact the requester to discuss the request (and the requester''s questions) before finalizing the invoice and shipment. The ABL is available to the public to browse. In order to request biospecimens from the ABL, the researcher will be required to submit the requested required information. Upon submission of the information, shipment of the requested biospecimen(s) will be dependent on the scientific and institutional review approval. Account required. Registration is open to everyone.. Documented on August 26, 2019.
Database of published microarray gene expression data, and a software tool for comparing that published data to a user''''s own microarray results. It is very simple to use - all you need is a web browser and a list of the probes that went up or down in your experiment. If you find L2L useful please consider contributing your published data to the L2L Microarray Database in the form of list files. L2L finds true biological patterns in gene expression data by systematically comparing your own list of genes to lists of genes that have been experimentally determined to be co-expressed in response to a particular stimulus - in other words, published lists of microarray results. The patterns it finds can point to the underlying disease process or affected molecular function that actually generated the observed changed in gene expression. Its insights are far more systematic than critical gene analyses, and more biologically relevant than pure Gene Ontology-based analyses. The publications included in the L2L MDB initially reflected topics thought to be related to Cockayne syndrome: aging, cancer, and DNA damage. Since then, the scope of the publications included has expanded considerably, to include chromatin structure, immune and inflammatory mediators, the hypoxic response, adipogenesis, growth factors, hormones, cell cycle regulators, and others. Despite the parochial origins of the database, the wide range of topics covered will make L2L of general interest to any investigator using microarrays to study human biology. In addition to the L2L Microarray Database, L2L contains three sets of lists derived from Gene Ontology categories: Biological Process, Cellular Component, and Molecular Function. As with the L2L MDB, each GO sub-category is represented by a text file that contains annotation information and a list of the HUGO symbols of the genes assigned to that sub-category or any of its descendants. You don''''t need to download L2L to use it to analyze your microarray data. There is an easy-to-use web-based analysis tool, and you have the option of downloading your results so you can view them at any time on your own computer, using any web browser. However, if you prefer, the entire L2L project, and all of its components, can be downloaded from the download page. Platform: Online tool, Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible
Proper citation: L2L Microarray Analysis Tool (RRID:SCR_013440) Copy
Software experimental data table management system to make research data accessible and available for reuse with minimal effort on part of data provider. Allows any scientist or data researcher to be able to explore dataset and then extract some or all of data according to their needs. Designed to manage experimental data tables in quick and easy way for users.
Proper citation: ODAM (RRID:SCR_018774) Copy
THIS RESOURCE IS NO LONGER IN SERVICE, documented May 26, 2016; however, the URL provides links to associated projects and data. A suite of data query, download, upload, analysis and sharing tools serving the needs of the microbial ecology research community, and other scientists using metagenomics data.
Proper citation: Community Cyberinfrastructure for Advanced Marine Microbial Ecology Research and Analysis (RRID:SCR_002676) Copy
http://pubchem.ncbi.nlm.nih.gov/
Collection of information about chemical structures and biological properties of small molecules and siRNA reagents hosted by the National Center for Biotechnology Information (NCBI).
Proper citation: PubChem (RRID:SCR_004284) Copy
EuPathDB integrates numerous database resources and multiple data types. The phylum Apicomplexa comprises veterinary and medically important parasitic protozoa including human pathogenic species of genera Cryptosporidium, Plasmodium and Toxoplasma. ApiDB serves not only as database but unifies access to three major existing individual organism databases, PlasmoDB.org, ToxoDB.org and CryptoDB.org, and integrates these databases with data available from additional sources. Through ApiDB site, users may pose queries and search all available apicomplexan data and tools, or they may visit individual component organism databases. EuPathDB Bioinformatics Resource Center for Biodefense and Emerging/Re-emerging Infectious Diseases is a portal for accessing genomic-scale datasets associated with eukaryotic pathogens.
Proper citation: Eukaryotic Pathogen Database Resources (RRID:SCR_004512) Copy
http://physionet.org/physiobank/
Archive of well-characterized digital recordings of physiologic signals and related data for use by the biomedical research community. PhysioBank currently includes databases of multi-parameter cardiopulmonary, neural, and other biomedical signals from healthy subjects and patients with a variety of conditions with major public health implications, including sudden cardiac death, congestive heart failure, epilepsy, gait disorders, sleep apnea, and aging. The PhysioBank Archives now contain over 700 gigabytes of data that may be freely downloaded. PhysioNet is seeking contributions of data sets that can be made freely available in PhysioBank. Contributions of digitized and anonymized (deidentified) physiologic signals and time series of all types are welcome. If you have a data set that may be suitable, please review PhysioNet''s guidelines for contributors and contact them.
Proper citation: Physiobank (RRID:SCR_006949) Copy
https://github.com/HussainiLab/hfoGUI
Graphical user interface to visualize EEG data. The applications can vary from scoring High Frequency Oscillations, to observing Theta and Gamma Synchrony.
Proper citation: hfoGUI (RRID:SCR_016726) Copy
http://emg.nysbc.org/redmine/projects/leginon/wiki/Leginon_Homepage
System designed for automated collection of images from a transmission electron microscope.
Proper citation: Leginon (RRID:SCR_016731) Copy
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