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http://www.molecularbrain.org/

MolecularBrain is an attempt to collect, collates, analyze and present the microarray derived gene expression data from various brain regions side by side. Transcription Profile of any gene in Mouse (online) and Human Brain (not yet) can be accessed as a histogram along with links to access various aspects of that gene. The expression levels were calculated from microarray data deposited at GEO (Gene expression omnibus). The molecular brain database could be searched using the built in search tool with the terms Entrez GeneID, gene symbol, synonym or description. Gene information along with their expression values can be also accessed from the alphabetical list of gene symbols on the footer. The protocol and GEO sample information is available.

Proper citation: Molecular Brain: Transcription Profiles of Mouse and Human Brains (RRID:SCR_008689) Copy   

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http://www.cmbi.ru.nl/GeneSeeker/

The GeneSeeker allows you to search across different databases simultaneously, given a known human genetic location and expression/phenotypic pattern. The GeneSeeker returns any found gene names which are located on the specified location and expressed in the specified tissue. To search for more expression location in one search, just enter them in the textbox for the expression location and separate them with logical operators (and, or, not). You can specify as many tissues as you want, the program starts 20 queries simultaneously, and then waits for a query to finish before starting another query, to keep server loads to a minimum. You can also search only for expression, just leave the cytogenetic location fields blank, and do the query. If you only want to look for one cytogenetic location, only fill in the first location field, and the GeneSeeker will search with only this one. Housekeeping genes , found in Swissprot can be excluded, or genes that are to be excluded can be specified. Human chromosome localizations are translated with an oxford-grid to mouse chromosome localizations, and then submitted to the Mgd. Sponsors: GeneSeeker is a service provided by the Centre for Molecular and Biomolecular Informatics (CMBI).

Proper citation: GeneSeeker (RRID:SCR_008347) Copy   

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http://www.phac-aspc.gc.ca/msds-ftss/

Material Safety Data Sheets for chemical products are available to laboratory workers for most chemicals and reagents. However because many laboratory workers, whether in research, public health, teaching, etc., are exposed to not only chemicals but infectious substances as well, there was a large gap in the readily available safety literature for employees. These MSDS are produced for personnel working in the life sciences as quick safety reference material relating to infectious micro-organisms. The MSDS are organized to contain health hazard information such as infectious dose, viability (including decontamination), medical information, laboratory hazard, recommended precautions, handling information and spill procedures. The intent of these documents is to provide a safety resource for laboratory personnel working with these infectious substances. Because these workers are usually working in a scientific setting and are potentially exposed to much higher concentrations of these human pathogens than the general public, the terminology in these MSDS is technical and detailed, containing information that is relevant specifically to the laboratory setting. It is hoped along with good laboratory practices, these MSDS will help provide a safer, healthier environment for everyone working with infectious substances. The MSDS is ran by the Public Health Agency of Canada. The Public Health Agency of Canada (PHAC) is the main Government of Canada agency responsible for public health in Canada. PHACs primary goal is to strengthen Canadas capacity to protect and improve the health of Canadians and to help reduce pressures on the health-care system. To do this, the Agency is working to build an effective public health system that enables Canadians to achieve better health and well-being in their daily lives by promoting good health, helping prevent and control chronic diseases and injury, and protecting Canadians from infectious diseases and other threats to their health. PHAC is also committed to reducing health disparities between the most advantaged and disadvantaged Canadians. Because public health is a shared responsibility, the Public Health Agency of Canada works in close collaboration with all levels of government (provincial, territorial and municipal) to build on each others skills and strengths. The Agency also works closely with non-government organizations, including civil society and business, and other countries and international organizations like the World Health Organization (WHO) to share knowledge, expertise and experiences.

Proper citation: Material Safety Data Sheets for Infectious Substances of Canada (RRID:SCR_013003) Copy   

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https://brads.nichd.nih.gov/Home/

Access to data from the Division of Intramural Population Health Research (DIPHR) of the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) from completed studies, including biospecimens and ancillary data.

Proper citation: Biospecimen Repository Access and Data Sharing (RRID:SCR_017383) Copy   

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http://10kimmunomes.org

Collection of reference datasets for human immunology, derived from control subjects in the NIAID ImmPort database . Available data include flow cytometry, CyTOF, multiplex ELISA, gene expression, HAI titers, clinical lab tests, HLA type, and others.

Proper citation: The 10000 Immunomes (RRID:SCR_016624) Copy   

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https://www.grnpedia.org/trrust/

TRUSST is reference database of human transcriptional regulatory interactions.TRRUST v2 is manually curated expanded reference database of human and mouse transcriptional regulatory interactions.

Proper citation: Transcriptional Regulatory Relationships Unrevealed by Sentence based Text mining database (RRID:SCR_022554) Copy   

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http://www.catstests.com/Product09.htm

THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 17, 2013. Memory impairment is one of the most common complaints after head injury, and accordingly, individuals may attempt to feign memory impairment or exaggerate symptoms of memory impairment. This free neuropsychological evaluation software contains some of the most common tests used to detect malingering of memory impairment. This software package contains a number of tests of declarative memory that assess recall of information that has a personal and temporal context. The typical example of declarative tests used for detecting malingering are the auditory verbal learning test and forced choice test. These tests are included in Symptom Validity along with other tests of declarative memory (e.g., prose recall, questionnaire tests). Unfortunately, classification of individuals is not completely accurate even with the use of multiple declarative memory tests. Thus, other tests that can complement previously used declarative memory measures by enhancing classification accuracy may be of great value to the neuropsychologist assessing the possibility of malingering. Your software contains two tests of nondeclarative memory that have been previously shown to be useful in the detection of malingered memory deficits (Davis et al., 1997a, 1997b). These tests take advantage of the general laypersons misunderstanding of the test performance of a truly memory impaired individual. That is, amnesic patients have been shown to perform normally on these nondeclarative memory tests and this is counterintuitive to the memory performance expectations of the general layperson. The nondeclarative tests included in Symptom Validity are two repetition priming tests of word stem completion and two tests of pattern categorization learning. Note: At this time this program will run only on Windows 98. We are currently working on a version that will run under the newer operating systems.

Proper citation: Colorado Assessment Tests - Symptom Validity (RRID:SCR_003520) Copy   

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http://www.catstests.com/Product07.htm

THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 17, 2013. The modifiable n-Back test is free software presumed to measure executive control of the updating of information in working memory. The task requires the participant to monitor some dimension (e.g. content, position, numerosity) of a temporally present sequence of items, responding when the currently presented item matches on the relevant dimension an item that was just recently presented. The match can be with an item present either 1 back, 2 back, 3 back or n back. Considerable flexibility is provided to the experimenter in specifying various parameters of the experiment (e.g. presentation rate, n back, content, position, color). The n-Back test is presumed to measure executive control of the updating of information in working memory. (Shimamura, 2000) Watter, Geffen and Geffen (2001) based on their work with the P300 event-related-potential have suggested that the n-Back is a dual task in that latencies of the P300 did not change with increasing task difficulty, that is memory load while amplitude did reflecting in their view a reallocation of attention and processing capacity away from the matching subtask. The n-Back task is one in which the participant is presented a series of stimuli at a constant rate. The task of the participant is to determine if the currently presented stimulus is similar (along some dimension) to one they have recently (usually one, two or three positions back) seen in the stream. Match criteria can be dimensions like material, position on the screen, color or some combination. CATs n-Back allows for substantial control over the position in which the material is presented (nine different positions), the nature of the material (any character or dingbat string, and any color. The experimenter can set the speed at which the sequence is presented including both the stimulus on time and the inter-stimulus interval. Participant responses can be made either using the keyboard or the mouse. At this time no normative data is available for this test.

Proper citation: Colorado Assessment Tests: n-Back (RRID:SCR_003517) Copy   

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http://www.fugu-sg.org/

THIS RESOURCE IS NO LONGER IN SERVICE,documented on August 16, 2019. Fugu genome is among the smallest vertebrate genomes and has proved to be a valuable reference genome for identifying genes and other functional elements such as regulatory elements in the human and other vertebrate genomes, and for understanding the structure and evolution of vertebrate genomes. This site presents version 4 of the Fugu genome, released in October 2004 by the International Fugu Genome Consortium. Fugu rubripes has a very compact genome, with less than 15 consisting of dispersed repetitive sequence, which makes it ideal for gene discovery. A draft sequence of the fugu genome was determined by the International Fugu Genome Consortium in 2002 using the ''whole-genome shotgun'' sequencing strategy. Fugu is the second vertebrate genome to be sequenced, the first being the human genome. This webpage presents the annotation made on the fourth assembly by the IMCB team using the Ensembl annotation pipeline. We are continuing with the gap filling work and linking of the scaffolds to obtain super-contigs.

Proper citation: Fugu Genome Project (RRID:SCR_013014) Copy   

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http://tubic.tju.edu.cn/deg

THIS RESOURCE IS NO LONGER IN SEVICE. Documented on August 19,2019.It hosts records of currently available essential genes among a wide range of organisms. For prokaryotes, DEG contains essential genes in more than 10 bacteria, such as E. coli, B. subtilis, H. pylori, S. pneumoniae, M. genitalium and H. influenzae, whereas for eukaryotes, DEG contains those in yeast, humans, mice, worms, fruit flies, zebra fish and the plant A. thaliana. Users can Blast query sequences against DEG, and can also search for essential genes by their functions and names. Essential gene products comprise excellent targets for antibacterial drugs. Essential genes in a bacterium constitute a minimal genome, forming a set of functional modules, which play key roles in the emerging field, synthetic biology.

Proper citation: DEG - Database of Essential Genes (RRID:SCR_012929) Copy   

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http://www.phenomicdb.de/

PhenomicDB is a multi-organism phenotype-genotype database including human, mouse, fruit fly, C.elegans, and other model organisms. The inclusion of gene indices (NCBI Gene) and orthologs (same gene in different organisms) from HomoloGene allows to compare phenotypes of a given gene over many organisms simultaneously. PhenomicDB contains data from publicly available primary databases: FlyBase, Flyrnai.org, WormBase, Phenobank, CYGD, MatDB, OMIM, MGI, ZFIN, SGD, DictyBase, NCBI Gene, and HomoloGene. We brought this wealth of data into a single integrated resource by coarse-grained semantic mapping of the phenotypic data fields, by including common gene indexes (NCBI Gene), and by the use of associated orthology relationships (HomoloGene). PhenomicDB is thought as a first step towards comparative phenomics and will improve the understanding of the gene functions by combining the knowledge about phenotypes from several organisms. It is not intended to compete with the much more dedicated primary source databases but tries to compensate its partial loss of depth by linking back to the primary sources. The basic functional concept of PhenomicDB is an integrated meta-search-engine for phenotypes. Users should be aware that comparison of genotypes or even phenotypes between organisms as different as yeast and man can have serious scientific hurdles. Nevertheless finding that the phenotype of a given mouse gene is described as ��similar to psoriasis�� and at the same time that the human ortholog has been described as a gene causing skin defects can lead to novelty and interesting hypotheses. Similarly, a gene involved in cancer in mammalian organisms could show a proliferation phenotype in a lower organism such as yeast and thus, give further insights to a researcher.

Proper citation: PhenomicDB (RRID:SCR_013051) Copy   

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http://www.treefam.org

A database of phylogenetic trees of animal genes. It aims at developing a curated resource that gives reliable information about ortholog and paralog assignments, and evolutionary history of various gene families. TreeFam defines a gene family as a group of genes that evolved after the speciation of single-metazoan animals. It also tries to include outgroup genes like yeast (S. cerevisiae and S. pombe) and plant (A. thaliana) to reveal these distant members.TreeFam is also an ortholog database. Unlike other pairwise alignment based ones, TreeFam infers orthologs by means of gene trees. It fits a gene tree into the universal species tree and finds historical duplications, speciations and losses events. TreeFam uses this information to evaluate tree building, guide manual curation, and infer complex ortholog and paralog relations.The basic elements of TreeFam are gene families that can be divided into two parts: TreeFam-A and TreeFam-B families. TreeFam-B families are automatically created. They might contain errors given complex phylogenies. TreeFam-A families are manually curated from TreeFam-B ones. Family names and node names are assigned at the same time. The ultimate goal of TreeFam is to present a curated resource for all the families. phylogenetic tree, animal, vertebrate, invertebrate, gene, ortholog, paralog, evolutionary history, gene families, single-metazoan animals, outgroup genes like yeast (S. cerevisiae and S. pombe), plant (A. thaliana), historical duplications, speciations, losses, Human, Genome, comparative genomics

Proper citation: Tree families database (RRID:SCR_013401) Copy   

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http://americaninstituteofstress.org/interviews/

From time to time the Editor of Health and Stress interviews leaders in the field of stress management on a variety of topics for inclusion in our publications. Some interviews are listed below. For a complete list of interviews and content, you must be a member of AIS and access the Archives.

Proper citation: American Institute of Stress Interviews (RRID:SCR_005420) Copy   

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http://publications.nigms.nih.gov/computinglife/

An NIGMS magazine that showcases the exciting ways that scientists are using the power of computers to expand our knowledge of biology and medicine. From text messaging friends to navigating city streets with GPS technology, we''re all living the computing life. But as we''ve upgraded from snail mail and compasses, so too have scientists. Computer advances now let researchers quickly search through DNA sequences to find gene variations that could lead to disease, simulate how flu might spread through your school and design three-dimensional animations of molecules that rival any video game. By teaming computers and biology, scientists can answer new and old questions that could offer insights into the fundamental processes that keep us alive and make us sick. This booklet introduces you to just some of the ways that physicists, biologists and even artists are computing life. Each section focuses on a different research problem, offers examples of current scientific projects and acquaints you with the people conducting the work. You can follow the links for online extras and other opportunities to learn aboutand get involved inthis exciting new interdisciplinary field.

Proper citation: NIGMS Computing Life (RRID:SCR_005850) Copy   

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http://phm.utoronto.ca/~jeffh/neuromouse.htm

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 17, 2023.Toolbook(tm) based, interactive graphical database which provides structural, molecular, and genetic information on the adult murine nervous system; and its relevance to human neurobiology. This resource is primarily designed as a platform for users to interact, each sharing knowledge on their own area of expertise, which is compiled to a master database. This hypertext atlas presently comprises more than 1000 pages and is designed to provide a flexible integrated resource for the description and discussion of all forms mammalian neurologic data. Version 4.0 of the NeuroMouse program extends the program's basic framework to include a number of areas in modern molecular neurobiology. This system provides an integrated resource for the characterization and description of mammalian neurological data. Major divisions include: Neural Atlas, Molecular Atlas, Genetics/Surgical Lesion Atlas. Neuromouse has been integrated into our strain-specific three dimensional MRI and surgical atlases of the murine CNS. Database contents: Neural Atlas: - Rotational representation of the murine brain. - Neural structures: visual and alphabetic point and click index of neural structures, pathways and systems. - Brain atlas:photographic serial sections in the coronal, sagittal, and horizontal planes (average plate distance - 300 um). Physical brain distances are also provided as are meta-index grids to allow rapid movement between different planes and regions. # Catalog of primary and immortalized neural cells indexed to relevant neural structures. Molecular Atlas: - Index of neurotransmitters: Acetylcholine, GABA, Glutamate, Aspartate, Glycine, Dopamine, Norepinephrine, Epinephrine, Serotonin (synthesis, distribution, degradation, molecular modules, receptors, subunits, agonists, antagonists, gene structure, localization, physical properties and transgenics are indicated for each item). - Index of neurotrophins / neurokines: NGF, BDNF, NT-3, NT-4/5, CNTF, LIF, Onostain M, IL-6, GDNF, FGF's, S100b (ligand, receptors, expression pattern, physical properties, homologous factors, transgenics/knockouts, chromosomal location, effects of agent, and effects of factors on agent are indicated for each item). - Index of additional neural agents: Bcl-2, TNF/Fas, TGF-beta, P53/Rb, PDGF, EGF family (ligand, receptor, expression patterns, physical properties, homologous factors, transgenics/ knockouts, chromosomal location, effects of agent, effects of factors on agent are indicated for each item). - Molecular biology: Molecular biology of important neural genes with integrated l links, plus selected neural topics (ex. programmed cell death, inducible gene systems, protein motifs, neural gene elements, and selected signal transduction pathways). Genetics Atlas: - Lesion paradigms: Index of common neuronal structural and chemical lesion paradigms. - Selected procedures: description of common neurosurgical, cell tracing, culturing and laboratory procedures. - Neurologic syndromes: Index of important human neurologic syndromes and appropriate animals models. - Neural mutant database: Index and description of naturally occurring and genetically modified murine neurologic mutations; including pages on double knockout animals. Interactive maps of each murine chromosome and human syntenic maps.

Proper citation: NeuroMouse Database (RRID:SCR_001143) Copy   

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http://surfer.nmr.mgh.harvard.edu/

Open source software suite for processing and analyzing human brain MRI images. Used for reconstruction of brain cortical surface from structural MRI data, and overlay of functional MRI data onto reconstructed surface. Contains automatic structural imaging stream for processing cross sectional and longitudinal data. Provides anatomical analysis tools, including: representation of cortical surface between white and gray matter, representation of the pial surface, segmentation of white matter from rest of brain, skull stripping, B1 bias field correction, nonlinear registration of cortical surface of individual with stereotaxic atlas, labeling of regions of cortical surface, statistical analysis of group morphometry differences, and labeling of subcortical brain structures.Operating System: Linux, macOS.

Proper citation: FreeSurfer (RRID:SCR_001847) Copy   

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http://www.brain-dynamics.net/

The Brain Dynamics Centre (BDC) is a network of centers and units. It achieves a unique exploration of the healthy brain and disorders of brain function. It translates these insights into new ways to tailor treatments to the individual. There approach is: "integrative neuroscience" - bringing together clinical observations, theory, and modern imaging technologies. And it's theoretical framework derives from linking physiology, psychology and evolution. Additionally, BDC also actively researches ADHD and conduct disorder, stress and trauma-related problems, depression and anxiety, anorexia nervosa, psychosis (including early onset) and conversion disorders. The research facilities DBC include assessment, rooms, two cognition-brain function laboratories, genotyping and an MRI Suite with 1.5 and 3T GE systems. BDC is the coordinating site for an international network - BRAINnet. It has over 180 members, and coordinates access to the first standardized database on the human brain for scientific purposes: Brain Resource International Database.

Proper citation: Brain Dynamics Centre (RRID:SCR_001685) Copy   

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http://www.sanbi.ac.za/resources/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23, 2022. The South African National Bioinformatics Institute delivers biomedical discovery appropriate to both international and African context. Researchers at SANBI perform the highest level of research and provide excellence in education. Research at SANBI has set well recognized milestones in the field of computational biology. The tools and techniques used have not only been developed but also implemented across heterogeneous domains of advanced research. Local and international efforts have driven our discoveries. Until recently, the core of SANBIs research has focused upon gene expression biology. Methods developed and applied at SANBI revolve around a greater understanding of the underlying causes of diseases. SANBI approaches the problem by comparison of genes, genomes and transcriptomes. It uses computational gene expression biology to create novel biological insights and to provide biomarkers for experimental validation. It also performs analysis of human genome variation, transcriptional diversity on both the expression and splicing level and the unravelling of transcriptional regulatory networks. Resources - Hinv, STACKdb, Malaria resources and Trypanosome databases are available for on-line seaching. - SANBI offers WCD, STACKdb, stackPACK and eVOC and the eVOKE viewer as tools that can be downloaded. Sponsors: SANBI receives funding and support from a range of organisations in South Africa and Internationally. Organisations currently supporting SANBI include: South Africa * South African Medical Research Council * South African AIDS Vaccine Initiative * National Bioinformatics Network * National Research Foundation * Claude Leon Foundation * International Business Machines Inc. Europe * European Unions 6th Framework Programme * World Health Organization USA * US National Institutes of Health * Fogarty International Centre * Ludwig Institute for Cancer Research

Proper citation: South African National Bioinformatics Institute: Resources (RRID:SCR_001867) Copy   

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http://www.gmu.edu/departments/krasnow/

The Krasnow Institute seeks to expand understanding of mind, brain, and intelligence by conducting research at the intersection of the separate fields of cognitive psychology, neurobiology, and the computer-driven study of artificial intelligence and complex adaptive systems. These separate disciplines increasingly overlap and promise progressively deeper insight into human thought processes. The Institute also examines how new insights from cognitive science research can be applied for human benefit in the areas of mental health, neurological disease, education, and computer design. It is this informed access to mind and brain that is the core of the mission of The Krasnow Institute. While their goals and tools are scientific, they also are fully cognizant of the applications of the results for the benefit of mankind, in areas like mental health, neurological diseases, and computer design. In asking the major questions they realized the necessity of being flexible, innovative, and trans-disciplinary. Therefore, they became dedicated to bringing together scholars from a wide variety of specialties and providing a milieu where they can be both productive and interactive. This institute will provide these researchers with the tools required to move ahead and create an environment of optimal scientific integrity coupling innovation with risk taking. The Krasnow institute is especially attuned to the deep insights from evolutionary biology, which is at the root of understanding all organismic functions including cognition; computer studies of complex systems, which present a revolution in our ability to deal with the world of interactive agents; and a long history of cognitive psychology, which provides a huge data base of human abilities and responses. It also continues to develop its long-term research program based on the contributions of George Mason University faculty holding joint appointments at Krasnow and other GMU academic departments. Additionally, the Krasnow Institute Department of Molecular Neuroscience, together with the College of Science (COS) and the College of Humanities and Social Sciences (CHSS), oversees the campus-wide Neuroscience Council in developing the Neuroscience PhD curriculum. Research groups in the Krasnow institute include: - Adaptive Systems Laboratory - Center for Neural Dynamics - Center for Social Complexity - Center for the Study of Neuroeconomics o Neuroeconomics Laboratory - Comparative Vertebrate Neurobiology Research Group - Center for Neuroinformatics, Neural Structures, and Neuroplasticity (CN3) o Computational and Experimental Neuroplasticity (CENlab) o Computational Neuroanatomy Group o Physiological and Behavioral Neuroscience in Juveniles (PBNJ) Lab - Receptor Complexes and Signaling Lab - Krasnow Investigations of Developmental Learning and Behavior (KIDLAB) - Neuro Imaging Core of the Krasnow Institute

Proper citation: George Mason University: Krasnow Institute for Advanced Study (RRID:SCR_001741) Copy   

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http://opencourse.org/Collaboratories/harveyproject/

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. It is an international collaboration of educators, researchers, physicians, students, programmers, instructional designers and graphic artists working together to build interactive, dynamic human physiology course materials on the Web. Sponsors: This work has received funding from the US National Science Foundation.

Proper citation: Harvey Project: Open Course Collaboratories (RRID:SCR_001887) Copy   

•   Source: SciCrunch Registry