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http://blogs.plos.org/mfenner/2011/02/01/epub-wordpress-plugin-released-today/

Martin Fenner''s blog is about a WordPress plugin that he created that automatically creates ePub files from blog posts - they are created in the background when you save a blog post. The plugin can be installed directly from your WordPress installation. For now the plugin, ePub Export, only stores the text and images, but the next version should allow embedding of all kinds of files, most importantly data. ePub is a very interesting document format for scholarly publishing and has several advantages over PDF, including: * ePub can be used for all steps in the creation of a scholarly document, including data collection, authoring, annotating and peer review. There is no need for time-consuming and expensive format conversions. Currently most manuscripts are submitted in Microsoft Word or LateX formats, and then converted first to XML and then to HTML and PDF. Metadata such as author identifiers, digital object identifiers and semantic information can be added early on and don''t get lost in a format conversion. * ePub makes it easy to include supplementary material, e.g. video and other multimedia content, the datasets used in the publication (particularly the data used for tables and figures), all cited references in BibTeX format, etc. * ePub is much better suited for reading on mobile devices, as the format allows reflowing of content. Most articles today are printed from the PDF and then read, but this behavior is rapidly changing.

Proper citation: Wordpress ePub Plugin (RRID:SCR_006342) Copy   

•   Source: SciCrunch Registry

http://www.sdbonline.org

Non-profit professional society dedicated to advancement of the field of developmental biology. Excellence in research and education in developmental biology is fostered; advice and resources on careers in developmental biology is provided; and information for the public on relevant topics in developmental biology is provided. Perhaps most importantly, a communication hub for all developmental biologists is provided. The SDB is associated with the journal Developmental Biology; the SDB organizes scientific meetings that focus on developmental biology; the SDB has established programs to interface with the international community of developmental biologists; and the SDB maintains this society web site that covers all aspects of developmental biology. Membership includes developmental biologists at all stages of their careers from around the world.

Proper citation: Society for Developmental Biology (RRID:SCR_006299) Copy   

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http://www.ivyfoundation.org/

Funds patient-focused research on gliomas to develop better diagnostics and treatments that lead to long-term survival and a high quality of life for patients with brain tumors. The goal is to decrease the suffering of patients with brain tumors. With an ultimate goal to cure brain cancer, their immediate goal is to improve diagnostics and treatment. They are dedicated to improving the lives of all patients with brain cancer by funding research that they hope will lead to the doubling of life expectancy of patients with brain cancer. Their goal is to do this within the next seven years. Since 2005 they''ve committed more than $50 million to research into brain tumors, with the expectation that this will lead to better diagnostics and therapies. They are dedicated to this search because funding leads to answers, and answers lead to hope.

Proper citation: Ben and Catherine Ivy Foundation (RRID:SCR_006333) Copy   

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http://www.biogrid.org.au

A federated data sharing platform and infrastructure that provides access to real-time clinical, imaging and biospecimen data across jurisdictions, institutions and diseases. The web-based platform provides a secure infrastructure that advances health research by linking privacy-protected and ethically approved data among a wide network of health collaborators. Access to de-identified health records data is granted to authorized researchers after an application process so patient privacy and intellectual property are protected. BioGrid Australia''s approved researchers are provided access to multiple institutional databases, via the BioGrid interface, preventing gaps in patient records and research analysis. This legal and ethical arrangement with participating collaborators allows BioGrid to connect data through a common platform where data governance and access is managed by a highly skilled team. Data governance, security and ethics are at the core of BioGrid''s federated data sharing platform that securely links patient level clinical, biospecimen, genetic and imaging data sets across multiple sites and diseases for the purpose of medical research. BioGrid''s infrastructure and data management strategies address the increasing need by authorized researchers to dynamically extract and analyze data from multiple sources whilst protecting patient privacy. BioGrid has the capability to link data with other datasets, produce tailored reports for auditing and reporting and provide statistical analysis tools to conduct more advanced research analysis. In the health sector, BioGrid is a trusted independent virtual real-time data repository. Government investment in BioGrid has facilitated a combination of technology, collaboration and ethics approval processes for data sharing that exist nowhere else in the world.

Proper citation: BioGrid Australia (RRID:SCR_006334) Copy   

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http://vis.stanford.edu/wrangler/

Wrangler is an interactive tool for data cleaning and transformation. Spend less time formatting and more time analyzing your data. Why wrangle? * Too much time is spent manipulating data just to get analysis and visualization tools to read it. Wrangler is designed to accelerate this process: spend less time fighting with your data and more time learning from it. * Wrangler allows interactive transformation of messy, real-world data into the data tables analysis tools expect. Export data for use in Excel, R, Tableau, Protovis, ... * Want to learn more about Wrangler''s design? Take a look at our research paper. * Wrangler is still a work-in-progress. Please share your feedback and feature requests!

Proper citation: DataWrangler (RRID:SCR_006335) Copy   

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http://embryo.soad.umich.edu/

Complete three-dimensional data set of reference magnetic resonance microscopy (MRM) images of the human embryo representing 10 stages of development for each of 18 human embryos representing Carnegie stages 10 through 23, a critical embryonic time period for organogenesis. The users of the collection are able to manipulate the data on their own personal computers to view any slice from any plane of sectioning. Dynamic rotational views of whole embryos and time-lapse views of the growing embryo are accessible. Each embryo was imaged with three magnetic resonance pulse sequences to obtain fully-registered T1-weighted, T2-weighted, and diffusion-weighted image datasets. A complete set of coronal, sagittal, and axial images were produced from each image data set. Several major organs were isolated from each T1-weighted embryo data set using image segmentation methods and separate image data sets were created to represent each of these organs. Additionally, each embryo was optically photographed under a low-power microscope. The formalin-fixed specimens came from the highly respected Carnegie Collection of Human Embryos. This is the first distributable work to document in three dimensions the anatomy of the human embryonic time period. Pseudo- time-lapse movies were created using morphing software to represent the fourth dimension (time). Carnegie stages are a system used by embryologists to describe the apparent maturity of embryos. An embryo is assigned a Carnegie stage (numbered from 1 to 23) based on its external features. This staging system is not dependent on the chronological age nor the size of the embryo. The stages, are in a sense, arbitrary levels of maturity based on multiple physical features. Embryos that might have different ages or sizes can be assigned the same Carnegie stage based on their external appearance because of the natural variation which occurs between individuals. Postovulatory age is frequently used by clinicians to describe the maturity of an embryo. It refers to the length of time since the last ovulation before pregnancy. Postovulatory age is a good indication of embryonic age because the time of ovulation can be determined and fertilization must occur close to the time of ovulation. The terms gestation, pregnancy, and conception are usually avoided in describing embryonic age because fertilization is not universally accepted as the commencement of development (some consider implantation as the beginning of development). MRM was performed at the Center for In-vivo Microscopy at Duke University. Image processing and data managment was performed at the School of Art and Design, University of Michigan.

Proper citation: Multi-Dimensional Human Embryo (RRID:SCR_006296) Copy   

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https://syllabus.med.unc.edu/courseware/embryo_images/

Tutorial that uses scanning electron micrographs (SEMs) as the primary resource to teach mammalian embryology. The 3-D like quality of the micrographs coupled with selected line drawings and minimal text allow relatively easy understanding of the complex morphological changes that occur in utero. Because early human embryos are not readily available and because embryogenesis is very similar across mammalian species, the majority of micrographs that are utilized in this tutorial are of mouse embryos. The remainder are human. This tutorial is divided into units that may be studied in any order. All of the images have a legend that indicates the age of the embryo. If it is a mouse embryo, the approximate equivalent human age is indicated. To minimize labeling, color-coding is widely used. To view the micrographs without color, the cursor may be placed on the image. The SEMs used in this tutorial are from the Kathleen K. Sulik collection. The line drawings have been used with permission from Lippincott Williams & Wilkins and are from the 6th and 7th editions of Langman''s Medical Embryology by T.W. Sadler.

Proper citation: Embryo Images Normal and Abnormal Mammalian Development (RRID:SCR_006297) Copy   

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http://buridan.sourceforge.net/

Open source software written in R that tracks a single animal walking in a homogenous environment (Buritrack) and analyzes its trajectory. It extracts eleven metrics and includes correlation analyses and a Principal Components Analysis (PCA). It was designed to be easily customized to personal requirements. In combination with inexpensive hardware, these tools can readily be used for teaching and research purposes. Buritrack is a program to track individual Drosophila fruit flies online with any camera as they walk in Buridan's paradigm. The program extracts the coordinate locations of the fly and stores them in a text file.

Proper citation: Centroid Trajectory Analysis (RRID:SCR_006331) Copy   

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http://megasun.bch.umontreal.ca/People/lartillot/www/

A Bayesian Monte Carlo Markov Chain (MCMC) sampler software for phylogenetic reconstruction. Its main distinguishing feature is the underlying probabilistic model, CAT (Lartillot and Philippe, 2004). CAT is an infinite mixture model accounting for site-specific amino-acid or nucleotide preferences. It is well suited to phylogenomic studies using large multigene alignments., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: PhyloBayes (RRID:SCR_006402) Copy   

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http://www.animalgenome.org/pig/genome/db/

Database facilitating information integration and mining within the pig and across species of all genomics / genetics research results accumulated over the years including pig gene expression, quantitative trait loci (QTL), candidate gene, and whole genome association study (WGAS) results. The key functions developed so far include pig gene pages (a centralized gene search tool), a local copy of Biomart (for customizable genome information queries), genome feature alignment tools (Pig QTLdb and Gbrowse), integrated gene expression information (ANEXDB and ESTdb), a dedicated pig genome and gene set BLAST server, and virtual comparative map database and tools (VCmap). By developing the PGD, it is our aim to collaboratively utilize existing databases and tools via networked functions, such as web services, database API, etc., to maximize the potential of all related databases through the PGD implementation.

Proper citation: Pig Genome Database (RRID:SCR_006367) Copy   

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http://www.fmriconsulting.com/brodmann/

An atlas that facilitates fMRI analysis understanding by providing access to all of the functions that have been associated with each of the 52 Brodmann's areas or corresponding gyri. Links to main publications supporting the findings are provided in PubMed ID format. Brodmann's areas with similar functions and locations have been collapsed into a single page. The word left or right has been added indicating a lateralized function. All the abstracts published on PubMed on fMRI and brain PET studies in which the Brodmann's area or its anatomical correlate were mentioned have been reviewed up to August 2008. Abstracts with poorly described experimental methods or findings clearly conflicting with established knowledge provided by the clinical model were excluded. Studies on patients were also excluded.

Proper citation: Brodmann's Interactive Atlas (RRID:SCR_006368) Copy   

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http://www.ox.ac.uk/

Collegiate research university in Oxford, England. Teaching as early as 1096, making it the oldest university in English speaking world and world second oldest university in continuous operation.

Proper citation: University of Oxford; Oxford; United Kingdom (RRID:SCR_006361) Copy   

•   Source: SciCrunch Registry

http://www.chemspider.com/

Collection of chemical structures. Provides access to structures, properties and associated information from hundreds of data sources to find compounds of interest and provides services to improve this data by curation and annotation and to integrate it with users applications.

Proper citation: ChemSpider (RRID:SCR_006360) Copy   

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http://www.uniovi.es/

Public university in Asturias. It is the only university in the region. It has three campus and research centres, located in Oviedo, Gijón and Mieres.

Proper citation: University of Oviedo; Oviedo; Spain (RRID:SCR_006359) Copy   

•   Source: SciCrunch Registry

http://app.easyopendata.com/

Software application to create Open Data from your Google Drive spreadsheets. # Create a spreadsheet in Google Drive. Share, collaborate and refine your data as usual. # Design the template in EasyOpenData. Format your data the way you want it - any markup, any schema. # Publish your Open Data feed. Feeds update automatically when your spreadsheet is changed.

Proper citation: EasyOpenData (RRID:SCR_006354) Copy   

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http://images.aperio.com/

Expansive collection of high-quality wholeslide images

Proper citation: WebScope (RRID:SCR_006355) Copy   

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http://www.zebrafinch.org/

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 29, 2016. Project to advance understanding of the neural mechanisms of vocal learning by providing a quantitative description of the relationship between physiological variables and vocal performance over the course of development in a songbird, the zebra finch. They propose to study vocal learning dynamically across neuronal and peripheral subsystems, using a novel collaborative approach that will harness the combined expertise of several investigators. Their proposed research model will 1) provide simultaneous measurements of acoustic, articulatory and electrophysiological data that will document the detailed dynamics of the vocal imitation process in a standardized learning paradigm; and 2) incorporate these measurements into a theoretical/computational framework that simultaneously provides a phenomenological description and attempts to elucidate the mechanistic basis of the learning process.

Proper citation: Zebra Finch Song Learning Consortium (RRID:SCR_006356) Copy   

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

Web server to identify statistically enriched pathways, diseases, and GO terms for a set of genes or proteins, using pathway, disease, and GO knowledge from multiple famous databases. It allows for both ID mapping and cross-species sequence similarity mapping. It then performs statistical tests to identify statistically significantly enriched pathways and diseases. KOBAS 2.0 incorporates knowledge across 1327 species from 5 pathway databases (KEGG PATHWAY, PID, BioCyc, Reactome and Panther) and 5 human disease databases (OMIM, KEGG DISEASE, FunDO, GAD and NHGRI GWAS Catalog). A standalone command line version is also available, THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: KOBAS (RRID:SCR_006350) Copy   

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http://annotum.org

An open-source, open-process, open-access scholarly authoring and publishing platform based on WordPress. Its objectives are to develop a simple, robust, easy-to-use authoring system to create and edit scholarly articles, and to deliver an editorial review and publishing system that can be used to submit, review, and publish scholarly articles. Software and source code are also available. Annotum will build upon the WordPress platform as a foundation, filling in the gaps by providing the following additional features: * Rich, web-based authoring and editing: ** What you see is what you get (WYSIWYG) authoring with rich toolset (equations, figures, tables, citations and references) ** coauthoring, comments, version tracking, and revision comparisons * Strict conformance to a subset of the NLM journal article publishing tag set * Multiple import and export formats ** Export to PDF and XML formats ** Import XML and WXR formats for round-tripping of content ** Articles can be cited, exported, imported across systems/sites * Simple editorial workflow for authoring and reviewer/editor approval * Features specific to scholarly publishing: ** Equations, figures, tables ** References including citation search features ** Auto-generation and registration of CrossRef DOIs

Proper citation: Annotum (RRID:SCR_006353) Copy   

•   Source: SciCrunch Registry

http://www.centropiaggio.unipi.it/software

Software to handle and process large numbers of optical microscopy image files of neurons in culture or slices in order to automatically run batch routines, store data and apply multivariate classification and feature extraction using 3-way principal component analysis (PCA). This freeware for semi automated quantitative and dynamic analysis of neuron morphometry incorporates the most important microstructural quantification methods, such as fractal and sholl analysis with statistical and classification tools to provide an integrated image processing environment which enables fast and easy feature identification. It includes: * Friendly interactive graphical user interface * Image pre-processing * Morphological analysis * Topological analysis * Cell counting * 3-way PCA analysis (also available as an ImageJ plugin) * Plot of variables Sequential images of labeled or unlabelled neurons or tissue slices can be uploaded batch-wise in order to create a 3 axis (time, image coordinate) data base and a datamatrix of variables for 3-way Principal Component Analysis*.

Proper citation: NEuronMOrphological analysis tool (RRID:SCR_006304) Copy   

•   Source: SciCrunch Registry