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http://mobidb.bio.unipd.it

A database of protein disorder and mobility annotations. The database features three levels of annotation: manually curated data (which are extracted from the DisProt database), indirect data, and predicted data. Additional annotations are included from external sources, including UniProt, Pfam, PDB, and STRING.

Proper citation: MobiDB (RRID:SCR_014542) Copy   

•   Source: SciCrunch Registry

http://animaldiversity.ummz.umich.edu/site/index.html

Animal Diversity Web (ADW) is an online database of animal natural history, distribution, classification, and conservation biology at the University of Michigan :Animal Diversity Web Has: Thousands of species accounts about individual animal species. These may include text, pictures of living animals, photographs and movies of specimens, and/or recordings of sounds. Students write the text of these accounts and we cannot guarantee their accuracy. Descriptions of levels of organization above the species level, especially phyla, classes, and in some cases, orders and families. Hundreds of hyperlinked pages and images illustrate the traits and general biology of these groups. Professional biologists prepare this part. :Animal Diversity Web Is An Online Encyclopedia: ADW is a large searchable encyclopedia of the natural history of animals. Every day, thousands of classroom students and informal visitors use it to answer animal questions. Other sites specialize in local, endangered, or particular kinds of animals. We aim to be as comprehensive as possible. :A Science Learning Tool: ADW facilitates inquiry-driven learning, that is, teaching about science by leading students to use the methods of science. Our large database is structured, providing consistent information for all species to foster comparisons. An advanced search tool allows a user to call up species accounts fitting any combination of descriptors. Students can explore for patterns and relationships, learn how to frame and answer scientific questions and, with the help of a good teacher, experience the excitement and satisfaction of doing science. Our long-term goal is to create a database rich enough that students can discover for themselves basic concepts in ecology and conservation biology. :A Virtual Museum: ADW provides a way to make the contents of research museums available globally for teaching and research. So far, our efforts have been directed mainly at mammals. Photographs of scientific specimens are available for representative species from most mammal families. We''ve also included several hundred Quick Time Virtual Reality Movies of skulls. These allow the user to rotate the specimen, providing an excellent impression of its 3-dimensional structure. We''ve written in depth about and illustrated many of the characteristics of interest to students of mammals. An important goal for the future is to expand to cover other groups of animals and include other media such as animal behavior video. :Wiki features, database, teaching tool :

Proper citation: Animal Diversity Web (RRID:SCR_013658) Copy   

•   Source: SciCrunch Registry

http://www.sherpa.ac.uk/romeo/index.php?la=en&fIDnum=/&mode=simple

A database which houses publisher policies regarding the self- archiving of journal articles on the web and in Open Access repositories. RoMEO contains publishers' general policies on self-archiving of journal articles and certain conference series. Each entry provides a summary of the publisher's policy, including what version of an article can be deposited, where it can be deposited, and any conditions that are attached to that deposit.

Proper citation: SHERPA RoMEO (RRID:SCR_013815) Copy   

•   Source: SciCrunch Registry

http://severus.dbmi.pitt.edu/schizo-pi/

An interactome of protein-protein interactions related to schizophrenia, it contains novel PPIs predicted with the HiPPIP model. Schizophrenia associated genes are gathered from GWAS genes, historical candidates, and OMIM. Members of the scientific community can also suggest genes to add to the interactome.

Proper citation: Schizo-Pi (RRID:SCR_014599) Copy   

•   Source: SciCrunch Registry

http://www.metabolomicsworkbench.org/data/metabolitedatabase.php

A database which contains structures and annotations of biologically relevant metabolites from public repositories such as LIPID MAPS, ChEBI, HMDB, PubChem, and KEGG. Users can search for molecular structure based on substructure, text, or mass.

Proper citation: Metabolomics Workbench Metabolite Database (RRID:SCR_014633) Copy   

•   Source: SciCrunch Registry

http://msub.csbio.unc.edu/

A custom genome browser which provides detailed answers to questions on the haplotype diversity and phylogenetic origin of the genetic variation underlying any genomic region of most laboratory strains of mice (both classical and wild-derived). Users can select a region of the genome and a set of laboratory strains and/or wild caught mice. The region is selected by specifying the start (e.g. 31200000 or 31200K or 31.2M), and end of the interval and the chromosome (i.e, autosome number and X chromosome). Samples can be selected by name or by entire set. Data sets include information on subspecific origin, heterozygosity regions, and haplotype coloring, among others.

Proper citation: Mouse Phylogeny Viewer (RRID:SCR_014071) Copy   

•   Source: SciCrunch Registry

https://www.nanomaterialregistry.org/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on June 9,2023. Registry that archives curated nanomaterial research data and their biological and environmental implications. The Registry provides data management plans for researchers, and accepts users' public-ready data, archive them, integrate them into the registry, allowing for the data to be shared publicly. Users can request more information on specific nanomaterial records, compare multiple nanomaterials, and export data to their desktop.

Proper citation: Nanomaterial Registry (RRID:SCR_013700) Copy   

•   Source: SciCrunch Registry

https://scitran.github.io/

Scientific Transparency (SciTran) is a software project that has grown out of the Project on Scientific Transparency at Stanford University. At the heart of SciTran is a scientific data management system – SDM – designed to enable and foster reproducible research. SciTran SDM delivers efficient and robust archiving, organization, and sharing of scientific data. We have developed the system around neuroimaging data, but our goal is to build a system that is flexible enough to accomodate all types of scientific data – from paper-and-pencil tests to genomics data. SDM will also allow for the sharing of data and computations between remote sites. SciTran is open-source software, released under the MIT license. Our code is hosted on GitHub. Feel free to try it out or to contribute. Commercial support for SciTran SDM is available through our partners at Flywheel. Check out their demo, if you''d like to give SDM a quick try.

Proper citation: SciTran (RRID:SCR_013666) Copy   

•   Source: SciCrunch Registry

http://www.msdiscovery.org/research-resources/drug-pipeline

A database providing information about compounds under investigation for therapeutic use. There are currently 44 compounds on record with 100 compounds in the process of being uploaded to the database.

Proper citation: MSDF Drug Development Pipeline (RRID:SCR_013825) Copy   

•   Source: SciCrunch Registry

http://teachingcommons.us/#annotations:TY4psokJEeaXOivKaAz4RA

A library of open source teaching and educational resources for professors and students. It includes resources such as textbooks, lesson plans, multimedia, and lectures from participating universities and institutions. Subject areas include the life sciences, the arts and humanities, law, social and behavioral sciences, medicine and health, engineering, education, the physical sciences, and mathematics. Users can share their own work and adopt others' on the platform.

Proper citation: Teaching Commons (RRID:SCR_014638) Copy   

•   Source: SciCrunch Registry

http://editor.citationstyles.org/about/

A database that contains different CSL citation styles. Styles can be searched by name, journal title, or by example and then viewed or installed. Users can also edit current styles and save them.

Proper citation: CitationStyles (RRID:SCR_014000) Copy   

•   Source: SciCrunch Registry

http://okcam.cbi.pku.edu.cn/

OKCAM (Ontology-based Knowledgebase for Cell Adhesion Molecules) is an online resource for human genes known or predicted to be related to the processes of cell adhesion. These genes include members of the cadherin, immunoglobulin/FibronectinIII (IgFn), integrin, neurexin, neuroligin, and catenin families. :We have mapped these genes onto a novel cell adhesion molecule ontology (CAMO) that provides a hierarchical description of cell adhesion molecules and their functions. It is intended to provide a means to facilitate better and better understanding of the global and specific properties of CAMs through their genomic features, regulatory modes, expression patterns and disease associations become clearer. :Cadherins, IgCAMs, Integrins, Neurexins, Neuroligins, Catenins :

Proper citation: Ontology-based Knowledgebase for Human Cell Adhesion Molecules (RRID:SCR_013555) Copy   

•   Source: SciCrunch Registry

https://www.immunobase.org/about/

Web based resource focused on the genetics and genomics of immunologically related human diseases. Their mission is to provide a curated and integrated set of datasets and tools to support and promote research in this area. The current focus of the site is to integrate and curate summary case/control association statistics from the consortium of 12 diseases originally targeted by the ImmunoChip consortium.

Proper citation: ImmunoBase (RRID:SCR_014642) Copy   

•   Source: SciCrunch Registry

http://www.xs4all.nl/~ingenium/dicom.html

Fast error free and transparent compression (>2x) of image data on disk with NKI private or JPEG compression. A database browser and slice viewer integrated in the PACS system with options for: viewing DICOM header, creating BMP files (ideal for slides), sending selected images, printing, database fix tools such as changing patient IDs, deleting and anonymizing studies and series, and splitting and merging series. Uses drag and drop to load DICOM and HL7 files. A simple query/move user interface for diagnostic purposes, to improve your knowledge of DICOM, and to grab missing data from another server. Elementary DICOM print server and client - prints to the default printer. Correct display of JPEG and RLE compressed images in browser. Flexible configuration of JPEG and NKI private compression with optional (de)compression of incoming, dropped, transmitted and archived files. The JPEG compression is done using executables from the OFFIS DICOM toolkit (DCMTK version 3.5.4), developed by Kuratorium OFFIS e.V. A simple DICOM Modality Worklist implementation with HL7 import with configurable translation. A CGI WEB interface with several possible viewers (especially important for the Linux version without a GUI). The server can act as an advanced scriptable DICOM image forwarder and/or DICOM image cache. The server integrates an advanced DICOM viewer based on K-PAC DICOM training and testing Demonstration and research image archives Image format conversion from a scanner with DICOM network access DICOM image viewing and slide making DICOM image selection, (limited) editing, and splitting and merging of series Advanced scriptable image modification, filtering, forwarding and conversion DICOM caching and archive merging DICOM web access for viewing and data management (scriptable)

Proper citation: Conquest DICOM software 1.4.15 (RRID:SCR_013513) Copy   

•   Source: SciCrunch Registry

http://margalit.huji.ac.il/promec/

A compilation of E. coli mRNA promoter sequences. It includes documentation on the location of experimentally identified mRNA transcriptional start sites on the E. coli chromosome, as well as the actual sequences in the promoter region. The database is currently updated as of July 2000 and includes 471 entries.

Proper citation: PromEC (RRID:SCR_013514) Copy   

•   Source: SciCrunch Registry

http://rarediseases.org/for-patients-and-families/information-resources/rare-disease-information/

A database which provides brief introductions of rare diseases. New topics and diseases are added with the help of rare disease medical experts. This is mainly targeted at patients and their families but has useful information for professionals.

Proper citation: NORD Rare Disease Database (RRID:SCR_014573) Copy   

•   Source: SciCrunch Registry

http://krebs.iab.keio.ac.jp/HERMIT1/app/NichoAnu/

Metabolic pathway map that collects metabolic data gathered from multiple public databases and organizes them in one central location.

Proper citation: Ultimate Rough Aggregation of Metabolic Map (RRID:SCR_014694) Copy   

•   Source: SciCrunch Registry

https://senselab.med.yale.edu/MicroCircuitDB/

A database for storing and efficiently retrieving realistic computational models of brain microcircuits and networks. The focus is on microcircuits that are based on experimentally demonstrated properties of neurons and their connectivity.

Proper citation: MicrocircuitDB (RRID:SCR_014577) Copy   

•   Source: SciCrunch Registry

http://www.simbiome.org

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 18, 2015. Simbiome is a curated, online electronic resource that organizes and presents relevant resources for physics-based simulation of biomedical structures and related entities in biology and life sciences.

Proper citation: Simbiome (RRID:SCR_013640) Copy   

•   Source: SciCrunch Registry

https://repod.pon.edu.pl/#annotations:cE6FdKHvEeaGt1e4NLwMyg

An online platform for open source data/datasets created, collected or annotated for scientific research of all fields and disciplines. Registered users can share data relating to their research project and view data from other projects. Groups can combine datasets into collections associated with the group, in contrast to individual members of the group hosting their own data.

Proper citation: RepOD (RRID:SCR_014697) Copy   

•   Source: SciCrunch Registry