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http://nsidc.org/agdc/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 2, 2025. 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.

Proper citation: Antarctic Glaciological Data Center (RRID:SCR_002219) Copy   

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http://www.ibioseminars.org/

iBioSeminars offers: * Free, on-demand lectures: Many universities/colleges have limited access to high profile leaders in biological research. Our goal is to add 15-20 seminars per year, of similar quality to outstanding lectures that are currently in this library. Access, through web streaming or download, is completely free-of-charge. * Targeting a broad audience: iBioSeminars start with an extended introduction, making them accessible to non-specialists and students, and then progress to cover current research. Senior scientists and students can view and enjoy these lectures. * Education: iBioSeminars are being used by undergraduate and graduate teachers to augment their classroom material. We have now added an education component to this web site (including lecture notes, questions/answers and short video clips for teaching). * International communication: iBioSeminars have viewers in 115 countries and they are being internally promoted in several countries as an educational tool and scientific resource. * Goodwill: Lecturers generously donate their time to prepare these lectures. The project, largely funded by HHMI, is a grass roots efforts with time invested by several individuals at UCSF, HHMI and ASCB.

Proper citation: iBioSeminars (RRID:SCR_005848) Copy   

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http://darcsite.genzentrum.lmu.de/darc/

A database for aligned ribosomal complexes that provides a resource for directly comparing the structures. A collection of files deposited in the RCSB protein data bank and the Electron Microscopy Data Bank have been aligned so as to make direct comparison of the structures possible. An easy-to-use, searchable interface allows users to access and download >130 cryo-EM maps and >300 atomic models in the format of brix and pdb files, respectively. The aligned coordinate system substantially simplifies direct visualization of conformational changes in the ribosome, such as subunit rotation and head-swiveling, as well as direct comparison of bound ligands, such as antibiotics or translation factors.

Proper citation: DARC - Database for Aligned Ribosomal Complexes (RRID:SCR_006932) Copy   

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http://www.openannotation.org/

The Open Annotation Collaboration project aims to facilitate the emergence of a Web and Resource-centric interoperable annotation environment that allows leveraging annotations across the boundaries of annotation clients, annotation servers, and content collections. To this end, interoperability specifications will be devised. Additionally, this project will demonstrate through implementations an interoperable annotation environment enabled by the interoperability specifications in settings characterized by a variety of annotation client/server environments, content collections, and scholarly use cases and will seed widespread adoption by deploying robust, production-quality applications conformant with the interoperable annotation environment in ubiquitous and specialized services, tools, and content used by scholars -- e.g.: Zotero, AXE, LORE, Co-Annotea, Pliny; JSTOR, AustLit, MONK. Alpha3 Data Model: The Open Annotation Data Model specifies an approach for associating annotations with resources, using a methodology conformant with the Architecture of the World Wide Web and the Linked Data initiative. It draws on the Annotea model, as well as more recent extensions of that model.

Proper citation: Open Annotation Collaboration (RRID:SCR_006376) Copy   

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https://code.google.com/p/ontology-for-genetic-interval/

An ontology that formalized the genomic element by defining an upper class genetic interval using BFO as its framework. The definition of genetic interval is the spatial continuous physical entity which contains ordered genomic sets (DNA, RNA, Allele, Marker,etc.) between and including two points (Nucleic_Acid_Base_Residue) on a chromosome or RNA molecule which must have a liner primary sequence structure.

Proper citation: Ontology for Genetic Interval (RRID:SCR_003423) Copy   

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http://bioit.fleming.gr/mrb/

Dynamic and interactive view of 222 world wide available mouse resources, classified in 22 categories. The massive generation of data has led to the propagation of mouse resources and databases and the concomitant need for formalized experimental descriptions, data standardization and database interoperability and integration. In this context and with these goals, information is collected through an online questionnaire and/or manual curation. All mouse resource data in MRB are broken up in four sections and presented in four tabs: * The General section/tab contains information such as URL(s), contact information, database description and categorization and related links. * The Ontologies & Standards tab indicates controlled vocabularies and data representation standards adopted by each resource, such as ontologies and minimum information standards. A hyperlink to an index of OBO and non-OBO ontologies can be found here; an index of minimum information standards can be found here. * The Technical tab holds technical information for each resource such as the server technology used, relational database management system(s) utilized, programming language(s) of implementation, schema descriptive documents or actual database dumps and most importantly information on each resource''s programmatic access, the integration and interoperability services. Additionally and through the integration with Molgenis, MRB is capable of generating a SOAP API for hosted resources. * The final section on Database Description Framework (DDF) Criteria, describes the compliance of each resource to the CASIMIR database criteria, which aim to capture key technical data about a database in a formal framework. All data in MRB are freely available to interested users through downloadable weekly database dumps. Programmatic access to some of MRB''s data is feasible via MRB''s SOAP web service. MRB is the front end of a relational, fully normalized PostgreSQL database. The source code is available under the GNU general public license (GPL) as a binary download and via cvs.

Proper citation: MRB - Mouse Resource Browser (RRID:SCR_005961) Copy   

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https://neuroscienceblueprint.nih.gov/Resources-Tools/Blueprint-Resources-Tools-Library

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 22, 2023. National initiative to advance biomedical research through data sharing and online collaboration that provides data sharing infrastructure, software tools, strategies and advisory services. Groups may choose whether to share data internally or with external audiences. Hardware and data remain under control of individual user groups.

Proper citation: Biomedical Informatics Research Network (RRID:SCR_005163) Copy   

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http://www.brain-map.org

Seattle based independent, nonprofit medical research organization dedicated to accelerating the understanding of how human brain works. Provides free data and tools to researchers and educators and variety of unique online public resources for exploring the nervous system. Integrates gene expression data and neuroanatomy, along with data search and viewing tools, these resources are openly accessible via the Allen Brain Atlas data portal. Provides Allen Mouse Brain, Allen Spinal Cord Atlas, Allen Developing Mouse Brain Atlas, Allen Human Brain Atlas,Allen Mouse Brain Connectivity Atlas, Allen Cell Type Database, The Ivy Glioblastoma Atlas Project (Ivy GAP), The BrainSpan Atlas of the Developing Human Brain.

Proper citation: Allen Institute for Brain Science (RRID:SCR_006491) Copy   

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http://www.pristionchus.org

This data resource is a genetic, molecular, and genomic toolkit that establishes one particular species, Pristionchus pacificus, as a major satellite system for evolutionary developmental biology. Users may download Pristionchus Sequences and use the Pristionchus pacificus genome browser where they may find gene or gene prediction data. Users can also use the BLAST feature, which allows users to search the assembly for position information of bacs, reads and contigs using the mapping tool. The center of the site's research is the evolutionary analysis of vulva formation. The general aim of the Department is to develop the nematode vulva as a suitable case study into the evolutionary alterations of developmental processes. By studying and comparing two distantly related species of the same phylum, such as P. pacificus and C. elegans, macroevolutionary alterations of developmental processes and mechanisms can be identified. The final goal of the Department is to achieve a comprehensive description of macro- and microevolutionary changes of developmental mechanisms at the molecular level in a phylogenetic and ecological context.

Proper citation: Pristionchus.org (RRID:SCR_003414) Copy   

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http://htseq.readthedocs.io/en/release_0.9.1/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 28,2023. Software Python package that provides infrastructure to process data from high-throughput sequencing assays. While the main purpose of HTSeq is to allow you to write your own analysis scripts, customized to your needs, there are also a couple of stand-alone scripts for common tasks that can be used without any Python knowledge.

Proper citation: HTSeq (RRID:SCR_005514) Copy   

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http://www.brainline.org/

BrainLine is a national multimedia project offering information and resources about preventing, treating, and living with TBI. BrainLine includes a series of webcasts, an electronic newsletter, and an extensive outreach campaign in partnership with national organizations concerned about traumatic brain injury. BrainLine serves anyone whose life has been affected by TBI. That includes people with brain injury, their families, professionals in the field, and anyone else in a position to help prevent or ameliorate the toll of TBI. Through BrainLine, we seek to provide a sense of community, a place where people who care about TBI can go 24 hours a day for information, support, and ideas. BrainLine is funded by the Defense and Veterans Brain Injury Center, the Primary Operational TBI Component of the Defense Centers of Excellence for Psychological Health and Traumatic Brain Injury, through a subcontract award with the Henry M. Jackson Foundation for the Advancement of Military Medicine.

Proper citation: BrainLine (RRID:SCR_006603) Copy   

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http://www.tc.umn.edu/~konox006/Code/SNPMeta/

A Python and BioPython-based tool to generate metadata for single nucleotide polymorphisms (SNPs) for easy filtering, or submission to SNP databases. Information reported includes gene name, whether the SNP is coding or noncoding, and whether the SNP is synonymous or nonsynonymous. SNPMeta outputs in either a dbSNP submission report format, or a tab-delimited format. There is a also Web-based version available that only annotates with default settings, and only annotates a maximum of 20 SNPs at one time. The script may be downloaded for full functionality.

Proper citation: SNPMeta (RRID:SCR_002005) Copy   

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http://www.bioinformatics.nl/QualitySNPng/

Software for the detection and visualization of single nucleotide polymorphisms (SNPs) from next generation sequencing data that uses a haplotype-based strategy.

Proper citation: QualitySNPng (RRID:SCR_002479) Copy   

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http://www.fda.gov/ScienceResearch/BioinformaticsTools/MicroarrayQualityControlProject/default.htm

Project to improve the microarray and next-generation sequencing technologies and foster their proper applications in discovery, development and review of FDA regulated products by developing standards and quality measures. Microarrays and next-generation sequencing represent core technologies in pharmacogenomics and toxicogenomics; however, before these technologies can successfully and reliably be used in clinical practice and regulatory decision-making, standards and quality measures need to be developed. Everyone is invited to participate in the MAQC project.

Proper citation: MAQC (RRID:SCR_002351) Copy   

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http://wiki.na-mic.org/Wiki/index.php/2010_Winter_Project_Week_Spine_Segmentation_Module_in_Slicer3

3D Slicer module for automated segmentation of the spine. This is an implementation of a novel model-based segmentation algorithm. This work was presented at the NA-MIC Week in Salt Lake City, Jan 2010.

Proper citation: SpineSegmentation module for 3DSlicer (RRID:SCR_002593) Copy   

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https://bitbucket.org/btorb/btmorph

Small Python library containing a data structure and tools to represent and analyze neuronal morphologies stored in the de facto standard SWC format.

Proper citation: BTMORPH (RRID:SCR_003566) Copy   

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http://zebrafish.org

Center that supplies access to wild-type, mutant, and transgenic zebrafish lines, EST's/cDNAs, antibodies and fish health services. ZIRC Health Services include diagnostic pathology testing for zebrafish and other small laboratory fish species.

Proper citation: Zebrafish International Resource Center (RRID:SCR_005065) Copy   

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http://burgundy.cmmt.ubc.ca/cgi-bin/RAVEN/a?rm=home

Tool to search for putative regulatory genetic variation in your favorite gene. Single nucleotide polymorphisms (SNPs) (from dbSNP and user defined) are analyzed for overlap with potential transcription factor binding sites (TFBS) and phylogenetic footprinting using UCSC phastCons scores from multiple alignments of 8 vertebrate genomes., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: RAVEN (RRID:SCR_001937) Copy   

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http://www.armystarrs.org/

Study of mental health risk and resilience factors ever conducted among military personnel. The purpose of Army STARRS is to identify as quickly as possible factors that protect or pose risks to Soldiers'' emotional well-being and overall mental health so that the Army may apply the knowledge to its ongoing health promotion, risk reduction, and suicide prevention efforts. Army STARRS investigators will use four separate study components the Historical Data Study, New Soldier Study, All Army Study, and Soldier Health Outcomes Study to identify factors that help protect a Soldier''s mental health and factors that put a Soldier''s mental health at risk. Army STARRS is a five-year study that will run through 2014. Findings will be reported as they become available, so that the Army may apply them to its ongoing health promotion, risk reduction, and suicide prevention efforts. Given its length and scope, Army STARRS will generate a vast amount of information and will allow investigators to focus on periods in a military career that are known to be high risk for psychological problems. The information gathered from volunteer participants throughout the study will help researchers identify not only potentially relevant risk factors, but potential protective factors as well. Because promoting mental health and reducing suicide risk are important for all Americans, the findings from Army STARRS will benefit not only servicemembers but the nation as a whole. NIMH has assembled a group of renowned experts to carry out this research including teams from the Uniformed Services University of the Health Sciences (USUHS), the University of California, San Diego, University of Michigan, Harvard Medical School, and NIMH. Additional Army and NIMH program staff will contribute to the oversight and implementation of the study. This research team brings together international leaders in military health, health and behavior surveys, epidemiology, suicide, and genetic and neurobiological factors involved in psychological health.

Proper citation: Army STARRS (RRID:SCR_006708) Copy   

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https://github.com/spm

Software package for analysis of brain imaging data sequences. Sequences can be a series of images from different cohorts, or time-series from same subject. Current release is designed for analysis of fMRI, PET, SPECT, EEG and MEG.

Proper citation: SPM (RRID:SCR_007037) Copy   

•   Source: SciCrunch Registry