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https://pdb-dev.wwpdb.org

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   

•   Source: SciCrunch Registry
  

http://www.disgenet.org

Database and discovery platform containing publicly available collections of genes and variants associated to human diseases. Integrates data from curated repositories, GWAS catalogues, animal models and scientific literature.

Proper citation: DisGeNET (RRID:SCR_006178) Copy   

•   Source: SciCrunch Registry
  

https://github.com/PedroBarbosa/DeepIntronic_Benchmark

Repository of code, data, and documentation to reproduce computational evaluation performed to identify the best tools/models to predict genetic variation in deep intronic regions of human genome.

Proper citation: Benchmark of human deep intronic variation (RRID:SCR_023315) Copy   

•   Source: SciCrunch Registry
  

https://github.com/jkbonfield/htscodecs/

Software repository implements the custom CRAM codecs used for "EXTERNAL" block types.Custom compression for CRAM custom algorithm written to compress the BAM file format for DNA sequencing data.

Proper citation: Htscodecs (RRID:SCR_024034) Copy   

•   Source: SciCrunch Registry
  

http://www.brainhealthdatabank.ca

Repository of many types and sources of data including, but not limited to, assessments, imaging, wearable, and biological samples, collected from research projects at the Centre for Addiction and Mental Health. Data that individuals choose to share to advance mental health.

Proper citation: BrainHealth Databank (RRID:SCR_022996) Copy   

•   Source: SciCrunch Registry
  

http://www.jobs.ac.uk/

International job board for careers in academic, research, science and related professions in the UK, Europe, Australasia, Africa, America and Asia & Middle East. Launched by the University of Warwick, they have grown to become the top recruitment site in their sector, attracting the most qualified and talented people from the UK, Europe and across the world. Users may subscribe to Jobs by Email for vacancies in universities, colleges, research institutions, commercial and public sector, schools and charities. You may upload your CV to give yourself an advantage by making your CV visible to top employers now!

Proper citation: jobs.ac.uk (RRID:SCR_005154) Copy   

•   Source: SciCrunch Registry
  

https://research.bidmc.org/biodatabank-core

Core at BIDMC is a physical biorepository of deeply phenotyped human specimens that are linked to clinical diagnoses, a digital databank of omics and histological profiling generated from stored and annotated samples, and a virtual catalogue interface that will facilitate collaborations with the aim to catalyze innovative biomedical research and discovery. Goal of the BioDataBank Core is to build a biobank of Beth Israel Deaconess Medical Center (BIDMC)/BILH patient biospecimens & Omics data from our four Translational Research Hubs that are linked to clinical data for biomedical research directed towards advancing precision medicine. We will diversify the targeted biobank populations by engaging and collaborating with Beth Israel Lahey Health (BILH)-associated community health centers.

Proper citation: Beth Israel Deaconess Medical Center BioDataBank Core Facility (RRID:SCR_028860) Copy   

•   Source: SciCrunch Registry
  

http://www.kaluefflab.com/znpindex.html

Database of neurobehavioral and physiological data of adult zebrafish models, complementing the available repositories for zebrafish genetic information, by providing a dynamic, open-access data repository of comprehensive, curated collection of results from zebrafish neurobehavioral experiments. As of May 2012, it contains over 4,500 experimental results, from over 75 unique physiological and behavioral tests and 330 different drug treatments. ZNP incorporates validated and curated data from work published in this field, to improve the accessibility of current knowledge to researchers interested in using adult zebrafish models. Overall, this program will allow investigators to rapidly review data, to direct their research using these models. Data and protocol submissions are now being accepted.

Proper citation: Zebrafish Neurophenome Project Database (RRID:SCR_004482) Copy   

•   Source: SciCrunch Registry
  

https://github.com/ZafranShah/SwinT-fairSIM-and-knowledge-transfer

This repository contain the source code for the denoising of SR-SIM images.

Proper citation: SwinT-fairSIM (RRID:SCR_024715) Copy   

•   Source: SciCrunch Registry
  

https://github.com/openMetadataInitiative/openMINDS_controlledTerms

Software repository is part of open Metadata Initiative for Neuroscience Data Structures (openMINDS). It contains the schema-templates as well as corresponding terminologies (as JSON-LDs) for all terms that are defined and maintained centrally in this repository. Where applicable, the defined terms are connected to a matching ontological term. Schemas of openMINDS_core as well as openMINDS_SANDS reference to these controlled terms.

Proper citation: openMINDS controlledTerms metadata model (RRID:SCR_026247) Copy   

•   Source: SciCrunch Registry
  

http://neuro.debian.net/

Collection based on a collaborative effort of popular neuroscience research software for the Debian operating system as well as Ubuntu and other derivatives. Popular packages include AFNI, FSL, PyMVPA and many others. It contains both unofficial or prospective packages which are not (yet) available from the main Debian archive, as well as backported or simply rebuilt packages also available elsewhere. A listing of current and planned projects is available if you want to get involved. The main goal of the project is to provide a versatile and convenient environment for neuroscientific research that is based on open-source software. To this end, the project offers a package repository that complements the main Debian (and Ubuntu) archive. NeuroDebian is not yet another Linux distribution, but rather an effort inside the Debian project itself. Software packages are fully integrated into the Debian system and from there will eventually migrate into Ubuntu as well. With NeuroDebian, installing and updating neuroscience software is no different from any other part of the operating system. Maintaining a research software environment becomes as easy as installing an editor. There is also virtual machine to test NeuroDebian on Windows or Mac OS. If you want to see your software packaged for Debian, please drop them a note.

Proper citation: neurodebian (RRID:SCR_004401) Copy   

•   Source: SciCrunch Registry
  

http://www.ddduk.org/

The Deciphering Developmental Disorders (DDD) study aims to find out if using new genetic technologies can help doctors understand why patients get developmental disorders. To do this we have brought together doctors in the 23 NHS Regional Genetics Services throughout the UK and scientists at the Wellcome Trust Sanger Institute, a charitably funded research institute which played a world-leading role in sequencing (reading) the human genome. The DDD study involves experts in clinical, molecular and statistical genetics, as well as ethics and social science. It has a Scientific Advisory Board consisting of scientists, doctors, a lawyer and patient representative, and has received National ethical approval in the UK. Over the next few years, we are aiming to collect DNA and clinical information from 12,000 undiagnosed children in the UK with developmental disorders and their parents. The results of the DDD study will provide a unique, online catalogue of genetic changes linked to clinical features that will enable clinicians to diagnose developmental disorders. Furthermore, the study will enable the design of more efficient and cheaper diagnostic assays for relevant genetic testing to be offered to all such patients in the UK and so transform clinical practice for children with developmental disorders. Over time, the work will also improve understanding of how genetic changes cause developmental disorders and why the severity of the disease varies in individuals. The Sanger Institute will contribute to the DDD study by performing genetic analysis of DNA samples from patients with developmental disorders, and their parents, recruited into the study through the Regional Genetics Services. Using microarray technology and the latest DNA sequencing methods, research teams will probe genetic information to identify mutations (DNA errors or rearrangements) and establish if these mutations play a role in the developmental disorders observed in patients. The DDD initiative grew out of the groundbreaking DECIPHER database, a global partnership of clinical genetics centres set up in 2004, which allows researchers and clinicians to share clinical and genomic data from patients worldwide. The DDD study aims to transform the power of DECIPHER as a diagnostic tool for use by clinicians. As well as improving patient care, the DDD team will empower researchers in the field by making the data generated securely available to other research teams around the world. By assembling a solid resource of high-quality, high-resolution and consistent genomic data, the leaders of the DDD study hope to extend the reach of DECIPHER across a broader spectrum of disorders than is currently possible.

Proper citation: Deciphering Developmental Disorders (RRID:SCR_006171) Copy   

•   Source: SciCrunch Registry
  

http://brainml.org/goto.do?page=.home

Set of standards and practices for using XML to facilitate information exchange between user application software and neuroscience data repositories. It allows for common shared library routines to handle most of the data processing, but also supports use of structures specialized to the needs of particular neuroscience communities. This site also serves as a repository for BrainML models. (A BrainML model is an XML Schema and optional vocabulary files describing a data model for electronic representation of neuroscience data, including data types, formats, and controlled vocabulary. ) It focuses on layered definitions built over a common core in order to support community-driven extension. One such extension is provided by the new NIH-supported neuroinformatics initiative of the Society for Neuroscience, which supports the development of expert-derived terminology sets for several areas of neuroscience. Under a cooperative agreement, these term lists will be made available Open Source on this site.
The repository function of this site includes the following features:
* BrainML models are published in searchable, browsable form.
* Registered users may submit new models or new versions of existing models to accommodate data of interest. * BrainML model schema and vocabulary files are made available at fixed URLs to allow software applications to reference them.
* Users can check models and/or instance documents for correct format before submitting them using an online validation service.
To complement the BrainML modeling language, a set of protocols have been developed for BrainML document exchange between repositories and clients, for indexing of repositories, and for data query.

Proper citation: BrainML (RRID:SCR_007087) Copy   

•   Source: SciCrunch Registry
  

https://emberarchive.org/

BRAIN Initiative data archive for multi-modal neurophysiological and behavioral data, supporting the Brain Behavior Quantification and Synchronization (BBQS) Program. Accessible and versatile data archive for storage, processing, and curation of multimodal neurophysiological and behavioral datasets. EMBER extends established BRAIN Initiative data infrastructure, provides new data harmonization and synchronization capabilities, and supports scalable integrations for data coordination and AI driven batch processing to enable the goals of the BBQS program.

Proper citation: Ecosystem for Multi-modal Brain-behavior Experimentation and Research (RRID:SCR_026700) Copy   

•   Source: SciCrunch Registry
  

https://ncats.nih.gov/n3c/about

Portal for centralized national data to study COVID-19 and identify potential treatments.Centralized, secure analytics platform where patient privacy is protected. Enables collection and analysis of clinical, laboratory and diagnostic data from hospitals and health care plans. Data are provided after executing data transfer agreement with National Center for Advancing Translational Sciences. N3C is partnership among NCATS supported Clinical and Translational Science Awards Program hubs and National Center for Data to Health with overall stewardship by NCATS.

Proper citation: National COVID Cohort Collaborative (RRID:SCR_018757) Copy   

•   Source: SciCrunch Registry
  

https://t1d.hugeamp.org

Portal for providing data and tools to promote understanding and treatment of type 1 diabetes and its complications.Enables browsing, searching, and analysis of human genetic information linked to type 1 diabetes and related traits, while protecting integrity and confidentiality of underlying data.Represents effort to coordinate collection and deposition of genomic and epigenomic data related to type 1 diabetes and its complications.

Proper citation: Type 1 Diabetes Knowledge Portal (RRID:SCR_020936) Copy   

•   Source: SciCrunch Registry
  

http://bbid.irp.nia.nih.gov/

Database of images of putative biological pathways, macromolecular structures, gene families, and cellular relationships. It is of use to those who are working with large sets of genes or proteins using cDNA arrays, functional genomics, or proteomics. The rationale for this collection is that: # Except in a few cases, information on most biological pathways in higher eukaryotes is non-existent, incomplete, or conflicting. # Similar biological pathways differ by tissue context, developmental stages, stimulatory events, or for other complex reasons. This database allows comparisons of different variations of pathways that can be tested empirically. # The goal of this database is to use images created directly by biomedical scientists who are specialists in a particular biological system. It is specifically designed to NOT use average, idealized or redrawn pathways. It does NOT use pathways defined by computer algorithm or information search approaches. # Information on biological pathways in higher eukaryotes generally resides in the images and text of review papers. Much of this information is not easily accessible by current medical reference search engines. # All images are attributable to the original authors. All pathways or other biological systems described are graphic representations of natural systems. Each pathway is to be considered a work in progress. Each carries some degree of error or incompleteness. The end user has the ultimate responsibility to determine the scientific correctness and validity in their particular biological system. Image/pathway submissions are welcome.

Proper citation: Biological Biochemical Image Database (RRID:SCR_003474) Copy   

•   Source: SciCrunch Registry
  

https://zenodo.org/

Repository for all research outputs from across all fields of science in any file format as well as both positive and negative results. They assign all publicly available uploads a Digital Object Identifier (DOI) to make the upload easily and uniquely citeable. They further support harvesting of all content via the OAI-PMH protocol. They promote peer-reviewed openly accessible research, and curate uploads. ZENODO allows users to create their own collection and accept or reject all uploads to it. They allow for uploading under a multitude of different licenses and access levels.

Proper citation: ZENODO (RRID:SCR_004129) Copy   

•   Source: SciCrunch Registry
  

http://images.wellcome.ac.uk/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 9, 2023.Digital collection of images, with themes ranging from medical and social history to contemporary healthcare and biomedical science. The collection contains historical images from the Wellcome Library collections, Tibetan Buddhist paintings, ancient Sanskrit manuscripts written on palm leaves, beautifully illuminated Persian books and much more. The Biomedical Collection holds over 40 000 high-quality images from the clinical and biomedical sciences. Selected from the UK''s leading teaching hospitals and research institutions, it covers disease, surgery, general healthcare, sciences from genetics to neuroscience including the full range of imaging techniques. They are always looking for new high quality biomedical images from scientific researchers, clinical photographers and artists in any field of science or medicine. As a contributor you retain your original material and copyright, and receive commission and full credit each time your images are used. The annual Wellcome Images awards (previously known as Biomedical Images Awards) reward contributors for their outstanding work and winners are chosen by a panel of experts. The resulting public exhibitions are always extremely popular and receive widespread acclaim. All images on the Wellcome Images site are available free for use in: * private study and non-commercial research * examination papers * criticism and review, this applies only where there are no multiple copies made * theses submitted by a student at a higher or further education institution for the purposes of securing a degree * personal use by private individuals

Proper citation: Wellcome Images (RRID:SCR_004181) Copy   

•   Source: SciCrunch Registry
  

http://www.fishbase.org/home.htm

A global species database and encyclopedia of over 32,800 species and subspecies of fishes that is searchable by common name, genus, species, geography, family, ecosystem, references literature, tools, etc. It links to other, related databases such as the Catalog of Fishes, GenBack, and LarvalBase. It is associated with a partner journal, Acta Ichthyologica et Piscatoria. It is available in English, Greek, Spanish, Portuguese, French, Dutch, Italian, and German. Photo and video submissions are welcome. FishBase 2004 is also available on DVD or CD-ROMs with full information on 28,500 species. It comes together with the FishBase 2000 book and can be ordered for 95 US$ including air-mail.

Proper citation: FishBase (RRID:SCR_004376) Copy   

•   Source: SciCrunch Registry