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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://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.myelitis.org/

The Transverse Myelitis Association was established in 1994 as an organization dedicated to advocacy for those who have these rare neuroimmunologic diseases. It was incorporated as a not-for-profit organization in 1996. It facilitates support and networking opportunities amongst families; provides educational information; functions as a clearinghouse for articles and research literature; and investigates, advocates for and supports research and innovative treatment efforts. Transverse Myelitis is a rare neurological disorder that is part of a spectrum of neuroimmunologic diseases of the central nervous system. Other disorders in this spectrum include, Acute Disseminated Encephalomyelitis (ADEM), Optic Neuritis, and Neuromyelitis Optica (Devic''s disease). The membership of The Transverse Myelitis Association includes persons with all of these disorders, their family members and caregivers and the medical professionals who treat people with these disorders. The TMA publishes a newsletter for our members twice a year, which contains articles by physicians and health care providers. There are also articles written by people with the rare neuroimmunologic disorders. A membership directory is published and distributed annually. The TMA assists in the development of local support groups and is involved in various fund-raising efforts, such as Reading for Rachel, to raise awareness and funds for research. The TMA supports and conducts various symposiums and workshops involving both professionals and patients for the exchange of information regarding research and treatment strategies for persons with the rare neuroimmunologic disorders of the central nervous system.

Proper citation: Transverse Myelitis Association (RRID:SCR_006523) Copy   

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http://www.bioconductor.org/packages/release/bioc/html/SRAdb.html

Software package to make access to the compilation of metadata from NCBI SRA and tools associated with submission, study, sample, experiment and run much more feasible. This is accomplished by parsing all the NCBI SRA metadata into a SQLite database that can be stored and queried locally. Fulltext search in the package make querying metadata very flexible and powerful. fastq and sra files can be downloaded for doing alignment locally. Beside ftp protocol, the SRAdb has funcitons supporting fastp protocol (ascp from Aspera Connect) for faster downloading large data files over long distance. The SQLite database is updated regularly as new data is added to SRA and can be downloaded at will for the most up-to-date metadata.

Proper citation: SRAdb (RRID:SCR_006524) Copy   

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http://podb.nibb.ac.jp/Organellome/

Database of images, movies, and protocols to promote a comprehensive understanding of plant organelle dynamics, including organelle function, biogenesis, differentiation, movement, and interactions with other organelles. It consists of 5 individual parts, ''Perceptive Organelles Database'', ''The Organelles Movie Database'', ''The Organellome Database'', ''The Functional Analysis Database'', and ''External Links to other databases and Web pages''. All the data and protocols in ''The Organelle Movie Database'', ''The Organellome Database'' and ''The Functional Analysis Database'' are populated by direct submission of experimentally determined data from plant researchers. Your active contributions by submission of data and protocols to our database would also be appreciated. * Perceptive Organelles Database: This database contains images and movies of organelles in various tissues during different developmental stages in response to environmental stimuli. * Organelles Movie Database: This database contains time-lapse images, Z slices and projection images of organelles in various tissues during different developmental stages, visualized using fluorescent and non-fluorescent probes. * Organellome Database: This database contains images for cellular structures that are composed of organelle images in various tissues during different developmental stages, visualized with fluorescent and non-fluorescent probes. * Functional Analysis Database: This database is a collection of protocols for plant organelle research. * External Links: Access to biological databases.

Proper citation: Plant Organelles Database (RRID:SCR_006520) Copy   

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http://unite.ut.ee/index.php

A fungal rDNA internal transcribed spacer (ITS) sequence database (although additional genes and genetic markers are also welcome) to facilitate identification of environmental samples of fungal DNA. Additional important features include user annotation of INSD sequences to add metadata on, e.g., locality, habitat, soil, climate, and interacting taxa. The user can furthermore annotate INSD sequences with additional species identifications that will appear in the results of any analyses done. UNITE focuses on high-quality ITS sequences generated from fruiting bodies collected and identified by experts and deposited in public herbaria. In addition, it also holds all fungal ITS sequences in the International Nucleotide Sequence Databases (INSD: NCBI, EMBL, DDBJ). Both sets of sequences may be used in any analyses carried out. UNITE is accompanied by a project management system called PlutoF, where users can store field data, document the sequencing lab procedures, manage sequences, and make analyses. PlutoF intends to make it possible for taxonomists, ecologists, and biogeographers to use a common platform for data storage, handling, and analyses, with the intent of facilitating an integration of these disciplines. A user can have an unlimited number of projects but still make analyses across any project data available to him.

Proper citation: UNITE (RRID:SCR_006518) Copy   

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http://www.bioconductor.org/packages/release/bioc/html/MethylSeekR.html

A software package for the discovery of regulatory regions from Bis-seq data.

Proper citation: MethylSeekR (RRID:SCR_006513) Copy   

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http://www.autoimmunitycenters.org/

Nine centers that conduct clinical trials and basic research on new immune-based therapies for autoimmune diseases. This program enhances interactions between scientists and clinicians in order to accelerate the translation of research findings into medical applications. By promoting better coordination and communication, and enabling limited resources to be pooled, ACEs is one of NIAID''''s primary vehicles for both expanding our knowledge and improving our ability to effectively prevent and treat autoimmune diseases. This coordinated approach incorporates key recommendations of the NIH Autoimmune Diseases Research Plan and will ensure progress in identifying new and highly effective therapies for autoimmune diseases. ACEs is advancing the search for effective treatments through: * Diverse Autoimmunity Expertise Medical researchers at ACEs include rheumatologists, neurologists, gastroenterologists, and endocrinologists who are among the elite in their respective fields. * Strong Mechanistic Foundation ACEs augment each clinical trial with extensive basic studies designed to enhance understanding of the mechanisms responsible for tolerance initiation, maintenance, or loss, including the role of cytokines, regulatory T cells, and accessory cells, to name a few. * Streamlined Patient Recruitment The cooperative nature of ACEs helps scientists recruit patients from distinct geographical areas. The rigorous clinical and basic science approach of ACEs helps maintain a high level of treatment and analysis, enabling informative comparisons between patient groups.

Proper citation: Autoimmunity Centers of Excellence (RRID:SCR_006510) Copy   

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https://www.xmu.edu.cn/

Xiamen University, colloquially known as Xia Da in Mandarin Chinese or Ha Tai in Xiamen dialect, is public research university in Xiamen, Fujian, China with strengths in economics and management, fine arts, law, chemistry, journalism, communication, and mathematics.

Proper citation: Xiamen University; Xiamen; China (RRID:SCR_006509) Copy   

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http://www.researchgate.net/

A professional, social network and publication database geared to researchers where the latest field specific publications can be read, publications with other specialists can be discussed, and collaboration with colleagues is facilitated. They provide researchers with access to around 40 million abstracts and tens of thousands of Full texts, uploaded by the authors themselves. Researchers can search through 7 of the largest databases simultaneously, such as PubMed, IEEE & CiteSeer.

Proper citation: ResearchGate (RRID:SCR_006505) Copy   

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http://www.ebi.ac.uk/pdbe/emdb/

Repository for electron microscopy density maps of macromolecular complexes and subcellular structures at Protein Data Bank in Europe. Covers techniques, including single-particle analysis, electron tomography, and electron (2D) crystallography.

Proper citation: Electron Microscopy Data Bank at PDBe (MSD-EBI) (RRID:SCR_006506) Copy   

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http://www.phytozome.net/

A comparative platform for green plant genomics. Families of orthologous and paralogous genes that represent the modern descendents of ancestral gene sets are constructed at key phylogenetic nodes. These families allow easy access to clade specific orthology / paralogy relationships as well as clade specific genes and gene expansions. As of release v9.1, Phytozome provides access to forty-one sequenced and annotated green plant genomes which have been clustered into gene families at 20 evolutionarily significant nodes. Where possible, each gene has been annotated with PFAM, KOG, KEGG, and PANTHER assignments, and publicly available annotations from RefSeq, UniProt, TAIR, JGI are hyper-linked and searchable., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Phytozome (RRID:SCR_006507) Copy   

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http://geothermaldata.org

Database of information resources on geothermal energy from a national network of data providers. Data are contributed by academic researchers, private sector participants, and state and federal agencies, primarily the Department of Energy. Access, view, and download data with this free and easy online search tool.

Proper citation: National Geothermal Data System (RRID:SCR_006545) Copy   

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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   

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http://grants.nih.gov/grants/oer.htm

OER serves as a vital interface between the NIH and the biomedical research community by guiding investigators through the process of attaining grants funding and helping them understand and navigate through federal policies and procedures. OER supports extramural research by providing policy and guidance to the 24 NIH Institutes and Centers that award grants. Extramural grants account for approximately 84 percent of NIH''s 29 billion budget. These are awarded to investigators throughout the U.S. and abroad. Approximately 10 percent of the NIH budget supports NIH intramural investigators, NIH staff who conduct research.

Proper citation: Office of Extramural Research NIH (RRID:SCR_006547) Copy   

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http://www.lbda.org

The LBDA is a Lewy Body Disease (LBD) information resource for lewy body patients, caregivers, and medical professionals. It provides general information on LBD, including diagnosis, symptoms, treatments, etc., as well as providing links to support resources and an LBD online community. For professionals, the site also provides information on patient care, current LBD research and publications, and diagnostics information. LBDA offers many support resources for those affected by LBD and for their loved ones. These resources include local support group meeting information, online support groups, and user forums where users can find information or ask any questions they may have about the disease. A portion of the site is also dedicated to those who wish to help, either through participation in clinical trials, donations, or volunteering. LBDA also offers information on upcoming LBD-related events. LBDA is located Atlanta, GA. :NIF thanks the : :Parkinson''s Disease Foundation : : :for their referral of this resource to us.

Proper citation: Lewy Body Dementia Association (RRID:SCR_006421) Copy   

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https://repository.niddk.nih.gov/home/

NIDDK Central Repositories are two separate contract funded components that work together to store data and samples from significant, NIDDK funded studies. First component is Biorepository that gathers, stores, and distributes biological samples from studies. Biorepository works with investigators in new and ongoing studies as realtime storage facility for archival samples.Second component is Data Repository that gathers, stores and distributes incremental or finished datasets from NIDDK funded studies Data Repository helps active data coordinating centers prepare databases and incremental datasets for archiving and for carrying out restricted queries of stored databases. Data Repository serves as Data Coordinating Center and website manager for NIDDK Central Repositories website.

Proper citation: NIDDK Central Repository (RRID:SCR_006542) Copy   

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http://www.oulu.fi/english/

One of the largest universities in Finland, located in the city of Oulu. It was founded on July 8, 1958.

Proper citation: University of Oulu; Oulu; Finland (RRID:SCR_006301) Copy   

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http://projectreporter.nih.gov/project_info_description.cfm?aid=8661937&icde=19363283&ddparam=&ddvalue=&ddsub=&cr=1&csb=default&cs=ASC

Initiative to assemble a multicenter team of expert neuroscientists to evaluate the late effects of Traumatic brain injury (TBI), including single and repetitive TBI of varying severity, and Chronic Traumatic Encephalopathy (CTE), using histological examination of postmortem bio specimens and neuroimaging tools as a foundation to develop in vivo diagnostics. As a first aim, this proposal will bring together a team of 5 accomplished neuropathologists in neurodegenerative disease to establish consensus criteria for the post-mortem diagnosis of CTE. This team will also define the stages of CTE pathology, the features that differentiate CTE from other neurodegenerations and the effects of substance abuse, and the characteristics of posttraumatic neurodegeneration after single TBI. As a second aim, this proposal will establish a national bio specimen and data bank for TBI (Understanding Neurological Injury and Traumatic Encephalopathy (UNITE) bio bank) by developing a nationwide brain donor registry and hotline to acquire high quality bio specimens and data. The UNITE bank will use strictly standardized protocols and a web-based interface to ensure that tissue and data are readily available to qualified investigators. Comprehensive retrospective clinical data including clinical symptoms, brain trauma and substance abuse history, and medical records (including common data elements) will be entered into a secure database. Behavioral/ mood dysfunction, cognitive changes, substance abuse and traumatic exposure will be correlated with quantitative assessment of the multifocal tauopathy, Ass deposition and axonal injury. As a third aim, neuroimaging signatures of the neuropathology will be determined in post-mortem tissue using high spatial resolution diffusion tensor imaging (DTI) and autoradiography using a highly selective PET ligand for tau. Quantitative assessment of axonal injury, tau, and Ass will be correlated with ex vivo DTI abnormalities and tau ligand autoradiography. Pilot neuroimaging studies of individuals at high risk for the development of CTE will also be conducted in the final 2 years of the proposal. This proposal will determine the clinical and neuroimaging correlates of CTE and posttraumatic neurodegeneration and create the groundwork for establishing their incidence and prevalence. This study will have a tremendous impact on public health of millions of Americans and greatly increase our understanding of the latent effects of brain trauma.

Proper citation: CTE and Post-traumatic Neurodegeneration: Neuropathology and Ex Vivo Imaging (RRID:SCR_006543) Copy   

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