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http://www.algalresourcescollection.com/

Supplier of algae strains that aims to be a resource to both the HAB research community and biotechnological applications. Researchers can order and deposit strains with the ARC.

Proper citation: Algal Resources Collection (RRID:SCR_014942) Copy   

•   Source: SciCrunch Registry

http://thecellmap.org

Web accessible database for visualizing and mining global yeast genetic interaction network. Allows users to easily access, visualize, explore, and functionally annotate genetic interactions, or to extract and reorganize sub networks, using data driven network layouts in intuitive and interactive manner. Used for storing and visualizing genetic interactions in S. cerevisiae.

Proper citation: TheCellMap (RRID:SCR_018728) Copy   

•   Source: SciCrunch Registry

http://www.data.scec.org/

Archive of earthquake data for research in seismology and earthquake engineering in Southern California recorded or processed by the Southern California Seismic Network (SCSN). Users can access information on: * Recent earthquakes detected by the SCSN * Significant southern California earthquakes and faults * The southern California earthquake catalog, spanning from 1933 to present * Waveform and metadata files of SCSN seismic stations from 1977 to present * Data sets created by SCEC scientists to assist in ongoing and future research

Proper citation: Southern California Earthquake Data Center (RRID:SCR_000663) Copy   

•   Source: SciCrunch Registry

http://www.bindingdb.org

Web accessible database of data extracted from scientific literature, focusing on proteins that are drug-targets or candidate drug-targets and for which structural data are present in Protein Data Bank . Website supports query types including searches by chemical structure, substructure and similarity, protein sequence, ligand and protein names, affinity ranges and molecular weight . Data sets generated by BindingDB queries can be downloaded in form of annotated SDfiles for further analysis, or used as basis for virtual screening of compound database uploaded by user. Data are linked to structural data in PDB via PDB IDs and chemical and sequence searches, and to literature in PubMed via PubMed IDs .

Proper citation: BindingDB (RRID:SCR_000390) Copy   

•   Source: SciCrunch Registry

http://criticalzone.org/

Data related to the National Critical Zone Observatory Program including in-situ environmental sensors, field instruments, remote sensing, and surface and subsurface imaging. The Program serves the international scientific community through research, infrastructure, data, and models. They focus on how components of the Critical Zone interact, shape Earth's surface, and support life. A primary goal is to develop high-resolution 4D datasets that inform our theoretical framework, constrain our conceptual and coupled systems models, and test our model-generated hypotheses. They are developing cross-CZO capabilities to easily share, integrate, analyze and preserve the wide range of multi-disciplinary data generated by CZOs.

Proper citation: Critical Zone Observatories (RRID:SCR_002199) Copy   

•   Source: SciCrunch Registry

http://www.marine-geo.org/portals/seismic/

Seismic Reflection Field Data from the academic research community. Their partner Academic Seismic Portal at UTIG offers additional seismic resources, http://www.ig.utexas.edu/sdc/

Proper citation: Academic Seismic Portal at LDEO (RRID:SCR_002194) Copy   

•   Source: SciCrunch Registry

http://www.genes2cognition.org/db/Search

Database of protein complexes, protocols, mouse lines, and other research products generated from the Genes to Cognition project, a project focused on understanding molecular complexes involved in synaptic transmission in the brain.

Proper citation: Genes to Cognition Database (RRID:SCR_002735) Copy   

•   Source: SciCrunch Registry

http://dommino.org

DOMMINO is a comprehensive structural database on macromolecular interactions. As of June, 2011, it contains more than 407,000 binary interactions. The distinctive features of DOMMINO are: # Automated updates: DOMMINO is fully automated and is designed to update itself on a weekly basis, one day after a PDB weekly update. Thus, the community will be able to study macromolecular interactions almost immediately after they are released by PDB. # Coverage of non-domain mediated interactions: In addition to domain-domain and domain-peptide interactions the database characterizes the interaction between domains and unstructured protein regions that are not parts of a domain, such as inter-domain linkers and N- and C-termini. The interactions that involve the latter unstructured parts of proteins have been included to the database for the first time providing additional ~186,000 interactions (~45% of the total number of interactions, as of June, 2011). # Coverage of new structural domains: DOMMINO employs one of the most accurate structural classifications of proteins, SCOP. In addition to the existing SCOP-annotated domains, we employ a state-of-the-art machine learning approach to classify newer protein structures into existing SCOP families. With the progress of structural genomics, we do not expect a significant growth of the number of structurally novel folds or protein families and therefore our method allows covering almost all new protein structures. In total, using this predictive approach has allowed us to add more than 261,000 new interactions, almost twice as many as existing SCOP-annotated interactions. # The web-interface is designed to give the user a possibility of a flexible search as well as the capability to study macromolecular interactions in a PDB structure at the interaction network level and at the individual interface level. The web interface of the DOMMINO database includes a comprehensive list of help topics linked to the specific actions. In addition, we have designed a step-by-step tutorial that covers all aspects of working with the data from DOMMINO using the web interface.

Proper citation: DOMMINO - Database Of MacroMolecular INteractiOns (RRID:SCR_005958) Copy   

•   Source: SciCrunch Registry

http://www.broadinstitute.org/mammals/haploreg/haploreg.php

HaploReg is a tool for exploring annotations of the noncoding genome at variants on haplotype blocks, such as candidate regulatory SNPs at disease-associated loci. Using linkage disequilibrium (LD) information from the 1000 Genomes Project, linked SNPs and small indels can be visualized along with their predicted chromatin state in nine cell types, conservation across mammals, and their effect on regulatory motifs. HaploReg is designed for researchers developing mechanistic hypotheses of the impact of non-coding variants on clinical phenotypes and normal variation.

Proper citation: HaploReg (RRID:SCR_006796) Copy   

•   Source: SciCrunch Registry

http://www.mbl.org/mbl_main/atlas.html

High-resolution electronic atlases for mouse strains c57bl/6j, a/j, and dba/2j in either coronal or horizontal section. About this Atlas: The anterior-posterior coordinates are taken from an excellent print atlas of a C57BL/6J brain by K. Franklin and G. Paxinos (The Mouse Brain in Stereotaxic Coordinates, Academic Press, San Diego, 1997, ISBN Number 0-12-26607-6; Library of Congress: QL937.F72). The abbreviations we have used to label the sections conform to those in the Franklin-Paxinos atlas. A C57BL/6J mouse brain may contain as many as 75 million neurons, 23 million glial cells, 7 million endothelial cells associated with blood vessels, and 3 to 4 million miscellaneous pial, ependymal, and choroid plexus cells (see data analysis in Williams, 2000). We have not yet counted total cell number in DBA/2J mice, but the counts are probably appreciably lower.The brain and sections were all processed as described in our methods section. The enlarged images have a pixel count of 1865 x 1400 and the resolution is 4.5 microns/pixel for the processed sections.Plans: In the next several years we hope to add several additional atlases of the same sort for other strains of mice. A horizontal C57BL/6J atlas and a DBA/2J coronal atlas were completed by Tony Capra, summer 2000, and additional atlases may be made over the next several years. As describe in the MBL Procedures Section is not hard to make your own strain-specific atlas from the high resolution images in the MBL.

Proper citation: Mouse Brain Atlases (RRID:SCR_007127) Copy   

•   Source: SciCrunch Registry

http://www.cpc.unc.edu/projects/addhealth

Longitudinal study of a nationally representative sample of adolescents in grades 7-12 in the United States during the 1994-95 school year. Public data on about 21,000 people first surveyed in 1994 are available on the first phases of the study, as well as study design specifications. It also includes some parent and biomarker data. The Add Health cohort has been followed into young adulthood with four in-home interviews, the most recent in 2008, when the sample was aged 24-32. Add Health combines longitudinal survey data on respondents social, economic, psychological and physical well-being with contextual data on the family, neighborhood, community, school, friendships, peer groups, and romantic relationships, providing unique opportunities to study how social environments and behaviors in adolescence are linked to health and achievement outcomes in young adulthood. The fourth wave of interviews expanded the collection of biological data in Add Health to understand the social, behavioral, and biological linkages in health trajectories as the Add Health cohort ages through adulthood. The restricted-use contract includes four hours of free consultation with appropriate staff; after that, there''s a fee for help. Researchers can also share information through a listserv devoted to the database.

Proper citation: Add Health (National Longitudinal Study of Adolescent Health) (RRID:SCR_007434) Copy   

•   Source: SciCrunch Registry

http://posa.sanfordburnham.org/fatcat-cgi/cgi/FSN/fsn.pl

Flexible Structural Neighborhood is a database of structural neighbors of proteins as seen by FATCAT - a flexible protein structure alignment program. The server accepts either a protein (PDB ID) or a domain (SCOP ID) as a query. For the former case, the server first displays the information of chains and domains of a given protein. Afterwards, users can retrieve similar structures for a domain (if domain information is available, i.e., the protein is collected by SCOP), or for a chain otherwise. The protein structure database we collected for similar structure search includes a representative set at 90% sequence identity of SCOP domains, and of up-to-date PDB entries that are not included in the latest release of SCOP.

Proper citation: FATCAT Flexible Structural Neighborhood (RRID:SCR_007665) Copy   

•   Source: SciCrunch Registry

https://prr.osu.edu/

National facility for permanent curatorial preservation of rock collections from Antarctica and Southern Ocean. Repository preserves existing rock/dredge/unconsolidated/terrestrial core/photo archive collections for research use. Database allows online requests for sample loans. Mapping tool combines existing PRR database with high resolution satellite images of Antarctica, REMA or USGS topographic layers. PRR created Polar Rock Boxes for educators who are teaching about Earth science and Antarctica. Each Polar Rock Box contains samples with binder full of teaching information about Earth science and Antarctica. These boxes are freely available as short loans to US schools.

Proper citation: Polar Rock Repository (RRID:SCR_002212) Copy   

•   Source: SciCrunch Registry

https://rmats.sourceforge.io

Software tool to detect differential alternative splicing events from RNA-Seq data. Calculates P-value and false discovery rate that difference in isoform ratio of gene between two conditions exceeds given user-defined threshold. From RNA-Seq data can automatically detect and analyze alternative splicing events corresponding to all major types of alternative splicing patterns. Handles replicate RNA-Seq data from both paired and unpaired study design.

Proper citation: rMATS (RRID:SCR_023485) Copy   

•   Source: SciCrunch Registry

https://nanohub.org

A portal which provides simulation programs for nanoscale phenomena, online presentations, courses, learning modules, podcasts, animations, and teaching materials. Researchers can also collaborate with others and publish content.

Proper citation: nanoHUB (RRID:SCR_013963) Copy   

•   Source: SciCrunch Registry

https://github.com/PetaVision/OpenPV

Open source software neural simulation toolbox. C++ library for designing and deploying large scale neurally inspired computational models. Object oriented neural simulation toolbox optimized for high performance multi core, multi node computer architectures.

Proper citation: PetaVision (RRID:SCR_017451) Copy   

•   Source: SciCrunch Registry

https://wholetale.org/

Platform for reproducible research. Code base for publishing data. For merging science and cyberinfrastructure pathways. Data Infrastructure Building Block (DIBBS) initiative to build scalable, open source, web-based, multi-user platform for reproducible research enabling creation, publication, and execution of tales – executable research objects that capture data, code, and complete software environment used to produce research findings. To enable researchers to define and create computational environment to manage complete conduct of computational experiments and expose them for analysis and reproducibility.

Proper citation: Whole Tale (RRID:SCR_017537) Copy   

•   Source: SciCrunch Registry

http://www.icn.ucl.ac.uk/motorcontrol/imaging/propatlas.htm

A probabilistic atlas of the cerebellar lobules in the space defined by the MNI152 template. The anatomical definitions are based on the fMRI atlas of an individual cerebellum by Schmahmann et al. (2000). To obtain a representative anatomical atlas, we separately masked the lobules on T1-weighted MRI scans (1mm isotropic resolution) of 20 healthy young participants (10 male, 10 female, average age 23.7 yrs). Using a different set of 23 participants, we also masked the deep cerebellar nucelei. These cerebella were then aligned using different commonly used normalization algorithms. The resultant probabilistic maps allow for the valid assignment of functional activations to specific cerebellar lobules and the nuclei, while providing a quantitative measure of the certainty of such assignments. Furthermore, maximum probability maps derived from these atlases can be used to define regions of interest (ROIs) in functional neuroimaging and neuroanatomical research. The atlas is included in the newer releases of FSL and the Anatomy toolbox. More version of the atlases for use with MRICroN are also available.

Proper citation: Probabilistic atlas of the human cerebellum (RRID:SCR_008797) Copy   

•   Source: SciCrunch Registry

http://www.scienceexchange.com/facilities/vcu-nanomaterials-characterization-center-vcu

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on April 15,2024. Nanomaterials Characterization Center at Virginia Commonwealth University is a state of the art 4000 sq. ft. facility located within the new Health and Life Science Engineering Facility. The Center provides an academic structure for students in natural sciences, mathematics, engineering, and medicine to participate in nanoscience and nanotechnology research to acquire the skills necessary to pursue such careers. In the past year, VCU received two National Science Foundation major research instrumentation grants totaling more than $1.6 million to expand its capabilities for research in materials science. Combining these federal awards with state instrumentation grants and private donations, the facility has been able to build a state of the art facility with over $5 million in new equipment. This new equipment will allow faculty and student researchers from both VCU campuses, as well as other universities.

Proper citation: VCU Nanomaterials Characterization Center (RRID:SCR_012162) Copy   

•   Source: SciCrunch Registry

https://github.com/slowkoni/rfmix

Software tool for local ancestry and admixture inference. Discriminative Modeling Approach for Rapid and Robust Local-Ancestry Inference.

Proper citation: RFMix (RRID:SCR_027030) Copy   

•   Source: SciCrunch Registry