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on page 1 showing 20 out of 298 results from 1 sources


Cite this (3DVC, RRID:SCR_001377)

URL: http://www.3dvcell.org/conference-toward-3d-virtual-cell

Resource Type: Resource, portal, community building portal, data or information resource

Community of researchers attempting to build a comprehensive virtual cell model. The 3DVC will do for cell biology what the Large Hadron Collider (LHC) does for particle physics, but through a virtual rather than physical resource. It will bring together collaborators around a shared infrastructure to advance the field through efficient groundbreaking science and technology, the results of which will be broadly disseminated to an audience ranging from K12 to professionals. The 3DVC is committed to open science, yet strives for sustainability through new business models that leverages that open content.

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Cite this (Academic Seismic Portal at LDEO, RRID:SCR_002194)

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

Resource Type: Resource, data or information resource, database

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/

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Cite this (Academic Seismic Portal at UTIG, RRID:SCR_000403)

URL: http://www.ig.utexas.edu/sdc/

Resource Type: Resource, service resource, data or information resource, data repository, storage service resource, database

Database of processed seismic reflection / refraction data providing access to metadata, SEG-Y files, navigation files, seismic profile images, processing histories and more. The main features of the web site include a geographic search engine using Google Plugins, a metadata search engine, and metadata pages for the various seismic programs. Metadata are uploaded into mySQL, a public-domain SQL server, and then PHP scripts query the metadata and directories, creating web pages, displaying images, and providing ftp links. The minimum requirements for data submission are: * unrestricted access to the navigation and small raster image (about 300 x 600 pixels) * file format is SEG-Y (they can help with this) * information relating geographic location to the traces in the file (this is often a big part of what they create) They also need basic descriptive information (metadata) about acquisition, navigation geometry, processing sequence and provenance (and pass some of our consistency tests). The submitted metadata is naturally highly variable but could include cruise reports, processing reports, important citations, etc.

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Cite this (ACADIS Gateway, RRID:SCR_010473)

URL: http://www.aoncadis.org

Resource Type: Resource, service resource, data or information resource, data repository, storage service resource, database

A repository and data management services for Arctic research data. Data include long-term observational timeseries, local, regional, and system-scale research from many diverse domains.

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Cite this (Adaptive Poisson-Boltzmann Solver, RRID:SCR_008387)

URL: http://www.poissonboltzmann.org/apbs/

Resource Type: Resource, software resource

APBS is a software package for modeling biomolecular solvation through solution of the Poisson-Boltzmann equation (PBE), one of the most popular continuum models for describing electrostatic interactions between molecular solutes in salty, aqueous media. APBS was designed to efficiently evaluate electrostatic properties for such simulations for a wide range of length scales to enable the investigation of molecules with tens to millions of atoms. It also provides implicit solvent models of nonpolar solvation which accurately account for both repulsive and attractive solute-solvent interactions. APBS uses FEtk (the Finite Element ToolKit) to solve the Poisson-Boltzmann equation numerically. FEtk is a portable collection of finite element modeling class libraries written in an object-oriented version of C. It is designed to solve general coupled systems of nonlinear partial differential equations using adaptive finite element methods, inexact Newton methods, and algebraic multilevel methods.

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Cite this (Add Health (National Longitudinal Study of Adolescent Health), RRID:SCR_007434)

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

Resource Type: Resource, data or information resource, database

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.

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Cite this (AFTOL, RRID:SCR_004650)

URL: http://www.aftol.org/

Resource Type: Resource, data repository, biospecimen repository, data set, service resource, storage service resource, data or information resource, material storage repository

To enhance the understanding of the evolution of the Kingdom Fungi, 1500+ species were sampled for eight gene loci across all major fungal clades, plus a subset of taxa for a suite of morphological and ultrastructural characters with resulting data: AFTOL Molecular Database (generated by WASABI - Web Accessible Sequence Analysis for Biological Inference), Blast search the AFTOL Database (generated by WASABI), AFTOL primers (generated by WASABI), AFTOL primers by species (generated by WASABI), AFTOL alignments, and the AFTOL Structural and Biochemical Database. Users may submit samples to the AFTOL project. AFTOL is a collaboration centered around four universities in the United States: Duke University (Francois Lutzoni and Rytas Vilgalys), Clark University (David Hibbett), Oregon State University (Joey Spatafora), and University of Minnesota (David McLaughlin). Participants throughout the world have donated vouchers, taxon samples, and gene sequences. The aim of the project is to reconstruct the fungal tree of life using all available data for eight loci (nuclear ribosomal DNA: LSU, SSU, ITS (including 5.8s, ITS1 and ITS2); RNA polymerase II: RPB1, RPB2; elongation factor 1-alpha; mitochondrial SSU rDNA, and mitochondrial ATP synthase protein subunit 6). A further objective of this study is to summarize and integrate current knowledge regarding fungal subcellular features within this new phylogenetic framework. The name of the bioinformatic package developed for AFTOL is WASABI which provides an efficient communication platform to facilitate the collection and dissemination of molecular data to (and from) the laboratories and participants. All molecular data can be viewed, downloaded, verified, and corrected by the participants of AFTOL. A central goal of the WASABI interface is to establish an automated analysis framework that includes basecalling of newly generated chromatograms, contig assembly, quality verification of sequences (including a local BLAST), sequence alignment, and congruence test. Gene sequences that pass all tests and are finally verified by their authors will undergo automated phylogenetic analysis on a regular schedule. Although all steps are initially carried out noninteractively, the users can verify and correct the results at any step and thus initiate the reanalysis of dependent data.

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Cite this (AgBase, RRID:SCR_007547)

URL: http://www.agbase.msstate.edu/

Resource Type: Resource, data or information resource, database

A curated, open-source, web-accessible resource for functional analysis of agricultural plant and animal gene products. Our long-term goal is to serve the needs of the agricultural research communities by facilitating post-genome biology for agriculture researchers and for those researchers primarily using agricultural species as biomedical models. AgBase provides tools designed to assist with the analysis of proteomics data and tools to evaluate experimental datasets using the GO. Additional tools for sequence analysis are also provided. We use controlled vocabularies developed by the Gene Ontology (GO) Consortium to describe molecular function, biological process, and cellular component for genes and gene products in agricultural species. AgBase will also accept annotations from any interested party in the research communities. AgBase develops freely available tools for functional analysis, including tools for using GO. We appreciate any and all questions, comments, and suggestions. AgBase uses the NCBI Blast program for searches for similar sequences. And the Taxonomy Browser allows users to find the NCBI defined taxon ID for or taxon name for different organisms.

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Cite this (ALCHEMY, RRID:SCR_005761)

URL: http://alchemy.sourceforge.net/

Resource Type: Resource, software resource, source code

ALCHEMY is a genotype calling algorithm for Affymetrix and Illumina products which is not based on clustering methods. Features include explicit handling of reduced heterozygosity due to inbreeding and accurate results with small sample sizes. ALCHEMY is a method for automated calling of diploid genotypes from raw intensity data produced by various high-throughput multiplexed SNP genotyping methods. It has been developed for and tested on Affymetrix GeneChip Arrays, Illumina GoldenGate, and Illumina Infinium based assays. Primary motivations for ALCHEMY''s development was the lack of available genotype calling methods which can perform well in the absence of heterozygous samples (due to panels of inbred lines being genotyped) or provide accurate calls with small sample batches. ALCHEMY differs from other genotype calling methods in that genotype inference is based on a parametric Bayesian model of the raw intensity data rather than a generalized clustering approach and the model incorporates population genetic principles such as Hardy-Weinberg equilibrium adjusted for inbreeding levels. ALCHEMY can simultaneously estimate individual sample inbreeding coefficients from the data and use them to improve statistical inference of diploid genotypes at individual SNPs. The main documentation for ALCHEMY is maintained on the sourceforge-hosted MediaWiki system. Features * Population genetic model based SNP genotype calling * Simultaneous estimation of per-sample inbreeding coefficients, allele frequencies, and genotypes * Bayesian model provides posterior probabilities of genotype correctness as quality measures * Growing number of scripts and supporting programs for validation of genotypes against control data and output reformating needs * Multithreaded program for parallel execution on multi-CPU/core systems * Non-clustering based methods can handle small sample sets for empirical optimization of sample preparation techniques and accurate calling of SNPs missing genotype classes ALCHEMY is written in C and developed on the GNU/Linux platform. It should compile on any current GNU/Linux distribution with the development packages for the GNU Scientific Library (gsl) and other development packages for standard system libraries. It may also compile and run on Mac OS X if gsl is installed.

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Cite this (AMAP, RRID:SCR_015969)

URL: http://code.google.com/p/amap-align/

Resource Type: Resource, image analysis software, data processing software, source code, alignment software, software application, software resource

Source code that performs multiple alignment of peptidic sequences. It utilizes posterior decoding and a sequence-annealing alignment, instead of the traditional progressive alignment method.

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Cite this (AnimatLab, RRID:SCR_014252)

URL: http://animatlab.com/

Resource Type: Resource, software resource, software application, simulation software

A software tool that combines biomechanical simulation and biologically realistic neural networks to create realistic models of, and perform tests on, biomechanical workings. AnimatLab was primarily designed to model and test the operation of neural circuits that might produce behavior patterns observed in an intact animal. Users can create an animalistic or robotic body and place it in a virtual environment with physics that are accurate and realistic. Users can then design a nervous system that controls the behavior of the body within the physically realistic environment. Various models for different types of actions, builds, and movements are available.

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Cite this (Antarctic and Southern Ocean Data Portal, RRID:SCR_002193)

URL: http://www.marine-geo.org/portals/antarctic/

Resource Type: Resource, data access protocol, database, web service, service resource, storage service resource, software resource, data repository, data or information resource

Accepts and provides access to geoscience data, primarily marine, collected from oceanographic expeditions in the Antarctic region. The synthesis began in 2003 as the Antarctic Multibeam Bathymetry and Geophysical Data Synthesis (AMBS) with a focus on multibeam bathymetry field data and other geophysical data from the Southern Ocean collected with the R/V N. B. Palmer. In 2005, the effort was expanded to include all routine underway geophysical and oceanographic data collected with both the R/V N. B. Palmer and R/V L. Gould, the two primary research vessels serving the US Antarctic Program. Data available include seafloor bathymetry, subbottom profiling, trackline gravity and magnetics, meteorological, and water column data as well as basic cruise information for all Palmer and Gould expeditions. Seafloor bathymetry data are provided both as raw swath data as well as in gridded form through the Global Multi-Resolution Topography (GMRT) synthesis. This gridded compilation of seafloor bathymetry data can be accessed through GeoMapApp, Create Maps and Grids and through an OGC-compliant Web Map Service. GeoMapApp is an integrated mapping application that provides access to many additional regional bathymetric grids, seismic, radar, gravity and magnetics profiles as well as other map and grid compilations for the Antarctic continent including LIMA.

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Cite this (Antarctic Glaciological Data Center, RRID:SCR_002219)

URL: http://nsidc.org/agdc/

Resource Type: Resource, data set, service resource, data repository, storage service resource, data or information resource

Archives and distributes Antarctic glaciological and cryospheric system data collected by the U.S. Antarctic Program. The Data Catalog contains data sets collected by individual investigators and products assembled from many different PI data sets, published literature, and other sources. The catalog provides useful compilations of important geophysical parameters, such as accumulation rate or ice velocity. The NSF OPP Guidelines and Award Conditions for Scientific Data state that PIs should submit data collected as a result of their OPP grant to a designated data center as soon as possible, but no later than two years after the data are collected.

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Cite this (Antarctic Marine Geology Research Facility, RRID:SCR_002213)

URL: http://arf.fsu.edu/

Resource Type: Resource, database, image collection, service resource, storage service resource, material storage repository, material resource, data or information resource

National repository for geological materials collected in polar regions housing over 20,000 meters of deep-sea core sediment and over 5,000 kg of dredge, trawl, and grab samples, the largest such Southern Ocean collection in the world. These materials have been acquired from over 90 USAP research vessel cruises. The Facility also houses and curates nearly 3,000 meters of rotary cored geological material acquired by NSF supported drilling programs in the Antarctic. Replacement cost of this core inventory in terms of ship and ice-based drilling is conservatively estimated to be in the range of $150 to $200M. SESAR or the the System for Earth Sample Registration is a service provided by the IDEA. SESAR operates the registry that distributes the International Geo Sample Number IGSN. SESAR catalogs and preserves sample metadata profiles, and provides access to the sample catalog via the Global Sample Search. Facility services include:
* curation of the existing collections at the facility
* onsite ship and land based curatorial services
* receipt and processing of new cores
* core description and publication of core descriptions
* distribution of samples from the collection to authorized scientists
* hosting of scientific meetings and workshops
* tours, lectures, and student education and training in Antarctic geoscience
* maintenance of:
** a core and sample database
** an Antarctic geology and marine geology reference library and a searchable End Note computer database of the entire collection
** a satellite IODP/MRC for nannofossils and diatoms

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Cite this (AntWeb, RRID:SCR_004851)

URL: http://www.antweb.org/

Resource Type: Resource, database, service resource, storage service resource, image repository, data repository, data or information resource

Database of images, specimen records, and natural history information on ants including Search Tools, Regional Lists, In Depth Information, Ant Image Comparison Tool, PDF Field Guides, Maps on AntWeb and Google Earth, and Ant Genera of the World Slideshow. It is community driven and open to contribution from anyone with specimen records, natural history comments, or images. As of February of 2013, AntWeb has 97,814 ant images, of 23,272 specimens representing over 10,549 species. AntWeb provides tools for submitting images, specimen records, annotating species pages, and managing regional species lists. AntWeb contains information on the ant faunas of several areas in the Nearctic and Malagasy biogeographic regions, and global coverage of all ant genera. AntWeb provides tools for exploring the diversity and identification of ants (Hymenoptera: Formicidae). These tools have been developed to encourage the study of ants, to facilitate the use of ants in inventory and monitoring programs, and to provide ant taxonomists with access to images of type specimens. AntWeb illustrates the diversity of ants by providing information and high quality color images of many of the approximately 10,000 known species of ants. AntWeb currently focuses on the species of the Nearctic and Malagasy biogeographic regions, and the ant genera of the world. Over time, the site will grow to describe every species of ant known.

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Cite this (Arabidopsis Gene Regulatory Information Server, RRID:SCR_006928)

URL: http://arabidopsis.med.ohio-state.edu

Resource Type: Resource, data or information resource, database

An information resource of Arabidopsis promoter sequences, transcription factors and their target genes that contains three databases. *AtcisDB consists of approximately 33,000 upstream regions of annotated Arabidopsis genes (TAIR9 release) with a description of experimentally validated and predicted cis-regulatory elements. *AtTFDB contains information on approximately 1,770 transcription factors (TFs). These TFs are grouped into 50 families, based on the presence of conserved domains. *AtRegNet contains 11,355 direct interactions between TFs and target genes. They provide free download of Arabidopsis thaliana cis-regulatory database (AtcisDB) and transcription factor database (AtTFDB).

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Cite this (Arabidopsis thaliana Genome Database, RRID:SCR_001901)

URL: http://www.plantgdb.org/AtGDB/

Resource Type: Resource, data analysis service, production service resource, analysis service resource, database, service resource, data or information resource

Database providing a sequence-centered genome view for Arabidopsis thaliana, with a narrow focus on gene structure annotation. The current genome assembly displayed at AtGDB is version TAIR9. Annotated gene models are TAIR10. They have mapped the complete set of 176,915 publicly available Arabidopsis EST sequences onto the Arabidopsis genome using GeneSeqer, a spliced alignment program incorporating sequence similarity and splice site scoring. About 96% of the available ESTs could be properly aligned with a genomic locus, with the remaining ESTs deriving from organelle genomes and non-Arabidopsis sources or displaying insufficient sequence quality for alignment. The mapping provides verified sets of EST clusters for evaluation of EST clustering programs. Analysis of the spliced alignments suggests corrections to current gene structure annotation and provides examples of alternative and non-canonical pre-mRNA splicing.

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Cite this (AraCyc, RRID:SCR_008109)

URL: http://www.plantcyc.org

Resource Type: Resource, service resource, data or information resource, data repository, storage service resource, database

Tool for visualizing biochemical pathways of Arabidopsis thaliana, the database contains a mix of information: extracted from peer-reviewed literature and computationally predicted. Users are strongly encouraged to share their pathway knowledge to help in the constant task of improving data content (see the Data Submission page). The manual curation of the database, which includes correcting pathways and adding missing pathways, is on-going. AraCyc is released on a semi-annual basis with a summary of the DataBase Content and PathoLogic Software Report with each release. The OMICS Viewer allows the overlay of data from gene expression, proteomic, or metabolomic experiments on a metabolic map. Other tools for mining the data in AraCyc are provided including the Comparative Analysis tool and an Advanced Query Page. Users can download the AraCyc database files from the Plant Metabolic Network website, by FTP, or programmatically.

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Cite this (ASAP: the Alternative Splicing Annotation Project, RRID:SCR_003415)

URL: http://bioinfo.mbi.ucla.edu/ASAP/

Resource Type: Resource, data or information resource, database

THIS RESOURCE IS NO LONGER IN SERVICE, documented on 8/12/13. Database to access and mine alternative splicing information coming from genomics and proteomics based on genome-wide analyses of alternative splicing in human (30 793 alternative splice relationships found) from detailed alignment of expressed sequences onto the genomic sequence. ASAP provides precise gene exon-intron structure, alternative splicing, tissue specificity of alternative splice forms, and protein isoform sequences resulting from alternative splicing. They developed an automated method for discovering human tissue-specific regulation of alternative splicing through a genome-wide analysis of expressed sequence tags (ESTs), which involves classifying human EST libraries according to tissue categories and Bayesian statistical analysis. They use the UniGene clusters of human Expressed Sequence Tags (ESTs) to identify splices. The UniGene EST's are clustered so that a single cluster roughly corresponds to a gene (or at least a part of a gene). A single EST represents a portion of a processed (already spliced) mRNA. A given cluster contains many ESTs, each representing an outcome of a series of splicing events. The ESTs in UniGene contain the different mRNA isoforms transcribed from an alternatively spliced gene. They are not predicting alternative splicing, but locating it based on EST analysis. The discovered splices are further analyzed to determine alternative splicing events. They have identified 6201 alternative splice relationships in human genes, through a genome-wide analysis of expressed sequence tags (ESTs). Starting with 2.1 million human mRNA and EST sequences, they mapped expressed sequences onto the draft human genome sequence and only accepted splices that obeyed the standard splice site consensus. After constructing a tissue list of 46 human tissues with 2 million human ESTs, they generated a database of novel human alternative splices that is four times larger than our previous report, and used Bayesian statistics to compare the relative abundance of every pair of alternative splices in these tissues. Using several statistical criteria for tissue specificity, they have identified 667 tissue-specific alternative splicing relationships and analyzed their distribution in human tissues. They have validated our results by comparison with independent studies. This genome-wide analysis of tissue specificity of alternative splicing will provide a useful resource to study the tissue-specific functions of transcripts and the association of tissue-specific variants with human diseases.

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Cite this (Autopack, RRID:SCR_006830)

URL: http://www.autopack.org/

Resource Type: Resource, software resource, software application, data processing software

An open-source general packing algorithm that packs 3D objects onto surfaces, into volumes, and around volumes. It provides a general architecture to allow various packing algorithms to interoperate efficiently in the same model. autoPack can incorporate any packing solution into its modular python program architecture, but is currently optimized to provide a novel solution to the loose packing problem which places objects of discrete size into place (compared to advancing front, popcorn, or other fast tight-packing solutions that allow objects to scale to arbitrary masses.) Most popular 3D software programs now contain robust physics engines based on Bullet that can separate small collections of overlapping objects or allow volumes to be filled by pouring shapes from generators, but these approaches fails for large complex systems and result in either overlapping geometry, crashed software, or non-random gradients. Most packing algorithms are designed to position objects as efficiently as possible, but autoPack allows the user to select from random loose packing to highly organized packing methods??????even to choose both methods at the same time. autoPack positions 3D geometries into, onto, and around volumes with minimal to zero overlap. autoPack mixes several packing approaches and procedural growth algorithms. autoPack can thus place objects with forces and constraints to allow a high degree of control ranging from completely random distributions to highly ordered structures. * zero to minimal overlaps depending on the method used * accuracy vs speed parameters selected by the user * zero edge effects * complete control, from fully random to fully ordered distributions * agent-based interaction, weighting, and collision control

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