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Intelligent Methods In Engineering Sciences (IMIENS) is an international and interdisciplinary journal for both invited and contributed peer reviewed articles that intelligent systems and applications in engineering at all levels. The journal publishes a broad range of papers covering theory and practice in order to facilitate future efforts of individuals and groups involved in the field. IMIENS, a peer-reviewed double-blind refereed journal, publishes original papers featuring innovative and practical technologies related to the design and development of intelligent systems in engineering. Its coverage also includes papers on intelligent systems applications in areas such as nanotechnology, renewable energy, medicine engineering, Aeronautics and Astronautics, mechatronics, industrial manufacturing, bioengineering, agriculture, services, intelligence based automation and appliances, medical robots and robotic rehabilitations, space exploration and etc. As an Open Access Journal, IMIENS devotes itself to promoting scholarship in intelligent systems and applications in all fields of engineering and to speeding up the publication cycle thereof. Researchers worldwide will have full access to all the articles published online and be able to download them with zero subscription fees. Moreover, the influence of your research will rapidly expand once you become an Open Access (OA) author, because an OA article has more chances to be used and cited than does one that plods through the subscription barriers of traditional publishing model.

CAS (Chemical Abstracts Service) Common Chemistry is an open community resource for accessing chemical information. Nearly 500,000 chemical substances from the CAS REGISTRY cover areas of community interest, including common and frequently regulated chemicals, and those relevant to high school and undergraduate chemistry classes. This chemical information is manually curated and provided in alignment with their role as a division of the American Chemical Society.

The Genomic Observatories Meta-Database (GEOME) is a web-based database that captures the who, what, where, and when of biological samples and associated genetic sequences. GEOME helps users with the following goals: ensure the metadata from your biological samples is findable, accessible, interoperable, and reusable; improve the quality of your data and comply with global data standards; and integrate with R, ease publication to NCBI's sequence read archive, and work with an associated LIMS. The initial use case for GEOME came from the Diversity of the Indo-Pacific Network (DIPnet) resource.

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The NIMH Repository and Genomics Resource (NRGR) is the largest biorepository supporting genomics in psychiatry, providing access to biomaterials (DNA, plasma, RNA, lymphoblastoid cell lines, induced pluripotent stem cells, etc.) and phenotypic data collected from nearly 200,000 well-characterized, high-quality control and patient samples from a wide-range of mental illnesses across ancestrally diverse populations. The NRGR also provides access to some genomic data sets, including some which do not have biosamples available in the repository, such as data sets generated by the Psychiatric Genomics Consortium, the CommonMind Consortium, and the PsychENCODE consoritum.

The Pancreatic Expression Database (PED) is a repository for pancreatic-derived -omics data. With a generic web-based system, the database provides the research community with an open access tool to mine currently available pancreatic cancer experimental data sets generated by using large-scale transcriptomic, genomic, proteomic, miRNA and methylomic platforms. The website also provides users with the opportunity to include their own published dataset in the database.