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http://neuroinformatics.kiv.zcu.cz/articles/read/eegerp-portal-eegbase-_2014-12-19

EEG base is a system for storage and management of EEG/ERP resources - data, metadata, tools and materials related to EEG/ERP experiments. EEG base advances electrophysiology research by enabling access to public data, tools and results of research groups. The system essentially offers the following set of features (the set of accessible features depends on a specific user role): * User authentication * Storage, update, and download of EEG/ERP data and metadata * Storage, update and download of EEG/ERP experimental design (experimental scenarios) * Storage, update and download of data related to testing subjects * Fulltext search * Sharing of knowledge and working in groups The system is based on tree layer architecture (MVC pattern) consisting of persistent layer (relational database), application layer (object oriented code, object relational mapping from persistence layer) and presentation layer (JSP). The persistence layer uses Hibernate framework; Oracle 11g database server is used to ensure the processing of large data files. Application and presentation layers are designed and implemented using Spring technology. This framework supports MVC architecture, Dependency injection and Aspect Oriented Programming. There were no significant difficulties with integration of both frameworks, Hibernate and Spring MVC. Spring Security framework is used to ensure management of authentication and user roles. Since the system is thought to be finally open to the whole EEG/ERP community it is necessary to protect EEG/ERP data and metadata, and especially personal data of testing subjects stored in the database from an unauthorized access. Then a restricted user policy is applied and user roles are introduced. The complete overview of the system features and user roles (use case diagram) is available in (Pergler 2009). Concerning the architectural layers there is a question which layer is more feasible for mapping of its structure into ontology. Currently we have studied two possibilities: * Mapping from the persistence layer (relational database) * Mapping from the application layer (object oriented code) The mapping from the application layer to an ontology includes the precedent object relational mapping provided by Hibernate framework.

Proper citation: EEGbase (RRID:SCR_001452) Copy   

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https://ahed.nasa.gov

Astrobiology Habitable Environments Database (AHED) is a new data system being developed as a long-term, open-access repository for astrobiology data. AHED is intended to store user-contributed results from NASA or externally-funded research in astrobiology, and to encourage sharing and synergy within the astrobiology community.

Proper citation: Astrobiology Habitable Environments Database (RRID:SCR_023133) Copy   

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https://github.com/neuroethology/MARS_Developer

Software MARS based Python pipeline used for detection, pose estimation and behavior classification in experiments of any format. Repository contains all the code you'll need to train your own version of MARS.

Proper citation: MARS Developer (RRID:SCR_022346) Copy   

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http://brainandsociety.org/the-brain-observatory

Formerly a topical portal studying the brain which collected and imaged 1000 human brains, the Brain Observatory has partnered with the Institute for Brain and Society to build virtual laboratories that will feed directly into the database of images and knowledge created in the context of the Human Brain Library. The Brain Observatory will also host exhibits, conferences, and events aimed at promoting a heightened awareness of brain research and how its results can benefit personal brain fitness and mental health.

Proper citation: Brain Observatory (RRID:SCR_010641) Copy   

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https://utex.org/

The UTEX Culture Collection of Algae includes different strains of living algae, representing most major taxa. Cultures in the Collection are used for research, teaching, biotechnology development, and various other projects throughout the world.

Proper citation: Culture Collection of Algae at the University of Texas (RRID:SCR_016782) Copy   

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http://estadisticas.cepal.org/cepalstat/WEB_CEPALSTAT/Portada.asp?idioma=i

Data repository for statistical information of Latin America and the Caribbean countries collected, systematized and published by CEPAL. CEPALSTAT provides access to statistics and indicators produced by separate ECLAC Divisions which can be used for socio-economic and environmental analysis, as well as various decision-making processes related to Central and South America. Users can export data and cross-tabulate indicators to produce tables combining data from different series, countries and/or periods.

Proper citation: CEPALSTAT (RRID:SCR_014999) Copy   

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http://publications.aston.ac.uk/

Aston Publications Explorer is Aston University's repository for their open access publications. You may also be interested in Aston Data Explorer for Aston's research data and Aston Research Explorer for broader information about Aston's research work including research staff, awards and activities projects and research groups.

Proper citation: Aston Publications Explorer (RRID:SCR_023129) Copy   

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http://soybase.org

Professionally curated repository for genetics, genomics and related data resources for soybean that contains the most current genetic, physical and genomic sequence maps integrated with qualitative and quantitative traits. SoyBase includes annotated Williams 82 genomic sequence and associated data mining tools. The genetic and sequence views of the soybean chromosomes and the extensive data on traits and phenotypes are extensively interlinked. This allows entry to the database using almost any kind of available information, such as genetic map symbols, soybean gene names or phenotypic traits. The repository maintains controlled vocabularies for soybean growth, development, and traits that are linked to more general plant ontologies. Contributions to SoyBase or the Breeder''s Toolbox are welcome.

Proper citation: SoyBase (RRID:SCR_005096) Copy   

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http://demo.onelaboratory.org/

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 24, 2017.

Platform to enable dissemination of scientific findings, foster open peer commentary and promote collaboration among the research community. Widespread participation in OneLab will increase the quality, transparency and reproducibility of data thus accelerating the pace of scientific discoveries. The result will be a streamlined process from the bench to the clinic with tremendous benefits for the well-being of the general public. OneLab is a private professional network that mirrors the hierarchy of real world research laboratories. Users are designated as either principal investigators (PI) or lab members. PIs can invite lab members to join and data posted by lab members cannot be shared without PI approval. In this way the PI retains FULL CONTROL over the dissemination of scientific content thus safeguarding the primacy of authorship. This professional network will serve as a backdrop for sharing scientific findings, promote collaborations, and provide a basis for open peer commentary. Semantic Search of Structured Content OneLab implements a powerful search functionality that is based on structured content. Users describe their Single Figure Posts (SFPs) using defined fields such as model organism, genes, proteins and assay. This additional layer of structure provides the basis for a smarter and more accurate search engine that understands searcher intent and therefore generates more relevant results. Structured content allows OneLab to go one step further by offering recommendations based on similarities that might not be intuitive, thus increasing potential collaborations among scientists., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: OneLab (RRID:SCR_005545) Copy   

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http://library.ucsd.edu/dc

A discovery interface of digital objects, including documents, photographs, audio, video, and data sets, which reflect a range of materials collected, managed, and preserved by the UCSD Library to support teaching, learning and research. Content has been drawn from across the Library collections with strengths in the areas of Baja California, Melanesia, Oceanography, and UC San Diego history. Access to more content will increase over time. Items have been digitized from the original primary sources in our collections, and recently the Library began to partner with UC San Diego researchers on campus to make research data more readily available. The Digital Collections website gathers data into two broad categories of content: Library Digital Collections contains digitized versions of selected collections covering topics such as art, film, music, history and anthropology.

Proper citation: UCSD Digital Collections (RRID:SCR_010221) Copy   

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http://www.ncbi.nlm.nih.gov/sites/entrez?db=pcassay&cmd=search

Data and information collection and repository for biological activities of small molecules and small interfering RNAs (siRNAs) hosted by the US National Institutes of Health (NIH). Used to select and summarize the bioactivities of tested substances.

Proper citation: PubChem BioAssay (RRID:SCR_010734) Copy   

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https://b2share.eudat.eu/

Used to store, publish and share research data in FAIR way. Facilitates research data storage, guarantees long-term persistence of data and allows data, results or ideas to be shared worldwide.Supports community domains with metadata extensions, access rules and publishing workflows.

Proper citation: B2SHARE Eudat (RRID:SCR_023135) Copy   

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https://www.synapse.org/

A cloud-based collaborative platform which co-locates data, code, and computing resources for analyzing genome-scale data and seamlessly integrates these services allowing scientists to share and analyze data together. Synapse consists of a web portal integrated with the R/Bioconductor statistical package and will be integrated with additional tools. The web portal is organized around the concept of a Project which is an environment where you can interact, share data, and analysis methods with a specific group of users or broadly across open collaborations. Projects provide an organizational structure to interact with data, code and analyses, and to track data provenance. A project can be created by anyone with a Synapse account and can be shared among all Synapse users or restricted to a specific team. Public data projects include the Synapse Commons Repository (SCR) (syn150935) and the metaGenomics project (syn275039). The SCR provides access to raw data and phenotypic information for publicly available genomic data sets, such as GEO and TCGA. The metaGenomics project provides standardized preprocessed data and precomputed analysis of the public SCR data.

Proper citation: Synapse (RRID:SCR_006307) Copy   

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https://hugeamp.org

Portal enables browsing, searching, and analysis of human genetic information linked to common metabolic diseases and traits, while protecting integrity and confidentiality of underlying data. Aggregates and analyzes genetic association results, epigenomic annotations, and results of computational prediction methods to provide data, visualizations, and tools in open access portal.

Proper citation: Common Metabolic Diseases Knowledge Portal (RRID:SCR_020937) Copy   

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http://www.nitrc.org/projects/atp

Autism research program that makes available post-mortem brain tissue to qualified scientists all over the world. Working directly with tissue banks, organ procurement agencies, medical examiners and the general public, this is the largest program dedicated to increasing and enhancing the availability of post-mortem brain tissue for basic research in autism. To date, the ATP has collected and stored more than 170 brains in their repositories at Harvard (US) and Oxford (UK). These brains are processed by formalin fixation and/or snap frozen to properly provide high quality tissue of all brain regions, in support of biological research in autism. The ATP is unique in that they diligently pursue all available clinical data (pre and post mortem) on tissue donors in order to create the most biologically relevant brain repository for autism research. These data, together with tissue resources from both banks and associated repositories, are presented to all interested researchers through their extensive web-based data portal (login required). The ATP is not a brain bank, but works directly with the Harvard Brain Tissue Resource Center in Boston (HBTRC), Massachusetts to serve as its tissue repository. This program augments brain bank functions by: * Creating the most biologically relevant brain tissue repository possible * Fully covering all costs associated with brain extraction and transfer to the repositories at Harvard (US and Canada) and Oxford (UK). * Providing scientific oversight of tissue distributions * Overseeing and managing all tissue grants * Clinically phenotyping and acquiring extensive medical data on all of their donors * Providing continuing family support and communication to all of their donors * Directly supporting researchers to facilitate autism research * Maintaining a robust web based data management and secure on-line global interface system * Developing and supporting ATP established scientific initiatives * Actively providing public outreach and education The ATP is not a clinical organ procurement agency, but rather they facilitate the wishes of donors and families to donate their tissue to autism research. Through the ATP's established international infrastructure, they work with any accredited tissue bank, organ procurement agency, or medical examiner that receives a family's request to donate their loved one's tissue to the program. Once contacted, the ATP will insure that the family's request to donate their loved one's tissue is faithfully met, covering all costs to the family and partnering agency as well as ensuring the tissues' proper and rapid transport to the ATP's repository at the Harvard Brain Tissue Resource Center (HBTRC) in Boston, Massachusetts.

Proper citation: Autism Tissue Program (RRID:SCR_000651) Copy   

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https://madb.nci.nih.gov/

Microarray data management and analysis system for NCI / Center for Cancer Research scientists / collaborators. Data is secured and backed up on a regular basis, and investigators can authorize levels of access privileges to their projects, allowing data privacy while still enabling data sharing with collaborators.

Proper citation: mAdb (RRID:SCR_006677) Copy   

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http://www.maizegdb.org

Collection of data related to crop plant and model organism Zea mays. Used to synthesize, display, and provide access to maize genomics and genetics data, prioritizing mutant and phenotype data and tools, structural and genetic map sets, and gene models and to provide support services to the community of maize researchers. Data stored at MaizeGDB was inherited from the MaizeDB and ZmDB projects. Sequence data are from GenBank. Data are searchable by phenotype, traits, Pests, Gel Pattern, and Mutant Images.

Proper citation: MaizeGDB (RRID:SCR_006600) Copy   

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http://oncowiki.info/index.php?title=Main_Page

A free repository for oncology information, chemotherapy protocols, and cancer treatment regimens. It is meant for Healthcare providers working in the field of Oncology.

Proper citation: Onco Wiki (RRID:SCR_005002) Copy   

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http://www.openlinksw.com/

An technology innovator in database and application server software that has been a long time developer of database and semantic repository technologies on both single servers and clusters. This, combined with OpenLink's experience with SQL, gives an all round view of performance across many environments and workload profiles, from transactions to decision support or search. OpenLink also has extensive experience in developing scale-out parallel database technology. The cross-platform product portfolio addresses challenges such as: Universal Data Access, Data Virtualization & Management, Personal & Enterprise Data Spaces, and Implementation & Support.

Proper citation: OpenLink Software (RRID:SCR_003662) Copy   

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https://www.ipni.org/

Global repository for all plant names with citation of its place of origin. Provides nomenclatural data, including spelling, author, types and first place/date of publication, for scientific names of vascular plants from family to infraspecific ranks.

Proper citation: International Plant Name Index (RRID:SCR_025019) Copy   

•   Source: SciCrunch Registry