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http://rdp.cme.msu.edu

A database which provides ribosome related data services to the scientific community, including online data analysis, rRNA derived phylogenetic trees, and aligned and annotated rRNA sequences. It specifically contains information on quality-controlled, aligned and annotated bacterial and archaean 16S rRNA sequences, fungal 28S rRNA sequences, and a suite of analysis tools for the scientific community. Most of the RDP tools are now available as open source packages for users to incorporate in their local workflow.

Proper citation: Ribosomal Database Project (RRID:SCR_006633) Copy   

•   Source: SciCrunch Registry

http://ligand-expo.rutgers.edu/

An integrated data resource for finding chemical and structural information about small molecules bound to proteins and nucleic acids within the structure entries of the Protein Data Bank. Tools are provided to search the PDB dictionary for chemical components, to identify structure entries containing particular small molecules, and to download the 3D structures of the small molecule components in the PDB entry. A sketch tool is also provided for building new chemical definitions from reported PDB chemical components.

Proper citation: Ligand Expo (RRID:SCR_006636) Copy   

•   Source: SciCrunch Registry

http://rice.plantbiology.msu.edu/

Database and resource that provides sequence and annotation data for the rice genome. This website provides genome sequence from the Nipponbare subspecies of rice and annotation of the 12 rice chromosomes. All structural and functional annotation is viewable through our Rice Genome Browser which currently supports 75 tracks of annotation. Enhanced data access is available through web interfaces, FTP downloads and a Data Extractor tool developed in order to support discrete dataset downloads. Rice is a model species for the monocotyledonous plants and the cereals which are the greatest source of food for the world''s population. While rice genome sequence is available through multiple sequencing projects, high quality, uniform annotation is required in order for genome sequence data to be fully utilized by researchers. The existence of a common gene set and uniform annotation allows researchers within the rice community to work from a common resource so that their results can be more easily interpreted by other scientists. The objective of this project has always been to provide high quality annotation for the rice genome. They generated, refined and updated gene models for the estimated 40,000-60,000 total rice genes, provided standardized annotation for each model, linked each model to functional annotation including expression data, gene ontologies, and tagged lines. They have provided a resource to extend the annotation of the rice genome to other plant species by providing comparative alignments to other plant species. Analysis/Tools are available including: BLAST, Locus Name Search, Functional Term Search, Protein Domain Search, Anatomy Expression Viewer, Highly Expressed Genes

Proper citation: Rice Genome Annotation (RRID:SCR_006663) Copy   

•   Source: SciCrunch Registry

http://www.plantontology.org

Ontology and database that links plant anatomy, morphology and growth and development to plant genomics data.Plant Ontology Consortium develops, curates and shares controlled vocabularies (ontologies) that describe plant structures and growth and developmental stages, providing semantic framework for meaningful cross species queries across databases. PO is under active development to expand to encompass terms and annotations from all plants.

Proper citation: Plant Ontology (RRID:SCR_006494) Copy   

•   Source: SciCrunch Registry

http://www.iedadata.org/

A community-based data facility to support, sustain, and advance the geosciences by providing data services for observational solid earth data from the Ocean, Earth, and Polar Sciences. IEDA systems enable these data to be discovered and reused by a diverse community now and in the future. Data services include data access, data analysis, data compliance, data publication, DOI search, and web services. Desktop apps GeoMapApp and Virtual Ocean are available to explore, visualize and analyze your own data within the context of hundreds of other earth science data from around the world. IEDA is a partnership between EarthChem and the Marine Geoscience Data System (MGDS). EarthChem and MGDS systems include the geochemical databases PetDB and SedDB, the geochemistry data network EarthChem, the Ridge2000 and MARGINS Data Portals, the Academic Seismic Portal field data collection, the Antarctic and Southern Ocean Data System, the Global Multi Resolution Topography synthesis, and the System for Earth Sample Registration SESAR.

Proper citation: Integrated Earth Data Applications (RRID:SCR_006739) Copy   

•   Source: SciCrunch Registry

http://redfly.ccr.buffalo.edu

Curated collection of known Drosophila transcriptional cis-regulatory modules (CRMs) and transcription factor binding sites (TFBSs). Includes experimentally verified fly regulatory elements along with their DNA sequence, associated genes, and expression patterns they direct. Submission of experimentally verified cis-regulatory elements that are not included in REDfly database are welcome.

Proper citation: REDfly Regulatory Element Database for Drosophilia (RRID:SCR_006790) Copy   

•   Source: SciCrunch Registry

http://www.openarchives.org/ore/

Initiative which defines standards for the description and exchange of aggregations of Web resources. The intent of the effort is to develop standards that generalize across all web-based information including the increasing popular social networks of web 2.0. The goal of these standards is to expose the rich content in these aggregations (sometimes called compound digital objects, they may combine distributed resources with multiple media types including text, images, data, and video) to applications that support authoring, deposit, exchange, visualization, reuse, and preservation. The specific aim of the ORE effort is to promote (through creation or endorsement) effective and consistent mechanisms which: facilitate discovery of compound digital objects; reference (or link to) these objects (as well as parts thereof); obtain a variety of disseminations of these objects; aggregate and disaggregate objects; and enable processing of objects by automated agents.

Proper citation: Open Archives Initiative - Object Reuse and Exchange Initiative (RRID:SCR_006982) Copy   

•   Source: SciCrunch Registry

http://hendrix.imm.dtu.dk/software/lyngby/

Matlab toolbox for the analysis of functional neuroimages (PET, fMRI). The toolbox contains a number of models: FIR-filter, Lange-Zeger, K-means clustering among others, visualizations and reading of neuroimaging files.

Proper citation: Lyngby (RRID:SCR_007143) Copy   

•   Source: SciCrunch Registry

http://earthref.org/MAGIC/

Databases that accept and provide access to paleomagnetic and rock magnetic data. The paleomagnetic data range from individual measurements to specimen, sample or site level results, including a wide variety of derived parameters or associated rock magnetic measurements. The rock magnetic database includes data collected during rock magnetic experiments on remanence, anisotropy, hysteresis and susceptibility. The MagIC Console Software provides an effective environment in Microsoft Excel where users can collate and prepare their paleomagentic and rock magnetic data for uploading in the Online MagIC Database.

Proper citation: Magnetics Information Consortium (RRID:SCR_007098) Copy   

•   Source: SciCrunch Registry

http://smallrna.udel.edu/index.php

This project has developed a sequence dataset of plant small RNAs based on the hypothesis that most if not all plants utilize important small RNA signaling networks. Different plant families are likely to have both common and lineage-specific miRNAs or other small RNAs with important biological roles. Comparative genomics approaches can be applied to distinguish potential miRNAs from siRNAs and to match the miRNAs to the target sequences. This project develops an unparalleled resource of millions of plant small RNAs for comparative analyses. The project includes sequencing of small RNAs from a diverse and agronomically-relevant set of plant species, focused analyses of important members of the Solanaceae and Poaceae, and development of a small RNA database and web interface for public access and analysis of data. These data will allow the experimental characterization of the majority of biologically important small RNAs for a range of plant species, and will be tremendously useful to a broad set of plant biologists interested in development, stress responses, epigenetics, evolution, RNA biology and other traits impacted by small RNAs. We offer a variety of tools to query the small RNA data set, with options to identify sequences based on homology, expression levels, conservation, or potential function: 1. Small RNA mapping tool: searches for small RNAs perfectly matching a genomic sequence provided by the user. 2. Small RNA mismatch tool: searches the database for small RNAs or other short sequences provided by the user, allowing mismatches. 3. Library-comparison tool to identify conserved small RNAs. 4. Library-comparison tool to identify differentially regulated small RNAs. 5. Reverse Target Prediction.

Proper citation: Comparative Sequencing of Plant Small RNAs (RRID:SCR_007003) Copy   

•   Source: SciCrunch Registry

http://www.farsight-toolkit.org/wiki/FARSIGHT_Toolkit

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23, 2022. A collection of software modules for image data handling, pre-processing, segmentation, inspection, editing, post-processing, and secondary analysis. These modules can be scripted to accomplish a variety of automated image analysis tasks. All of the modules are written in accordance with software practices of the Insight Toolkit Community. Importantly, all modules are accessible through the Python scripting language which allows users to create scripts to accomplish sophisticated associative image analysis tasks over multi-dimensional microscopy image data. This language works on most computing platforms, providing a high degree of platform independence. Another important design principle is the use of standardized XML file formats for data interchange between modules.

Proper citation: Farsight Toolkit (RRID:SCR_001728) Copy   

•   Source: SciCrunch Registry

http://ribosome.fandm.edu

This is a database of 16S and 23S ribosomal RNA mutations reported in literature, expanded to include mutations in ribosomal proteins and ribosomal factors. Access to the expanded versions of the 16S and 23S Ribosomal RNA Mutation Databases has been improved to permit searches of the lists of alterations for all the data from (1) one specific organism, (2) one specific nucleotide position, (3) one specific phenotype, or (4) a particular author. Please send bibliographic citations for published work to be included in The Ribosomal Mutation Database to the curator via email. The database currently consists of 1024 records, including 485 16S rRNA records from Escherichia coli, 37 16S-like rRNA records from other organisms, 421 23S rRNA records from E. coli, and 81 23S-like records from other organisms. The numbering of positions in all records corresponds to the numbering in E. coli. We welcome any suggested revisions to the database, as well as information about newly characterized 16S or 23S rRNA mutations. The expanded database will be renamed to The Ribosomal Mutation Database and will include mutations in ribosomal proteins and ribosomal factors.

Proper citation: Ribosomal Mutation Database (RRID:SCR_001677) Copy   

•   Source: SciCrunch Registry

https://ecl.earthchem.org/view.php?id=329

Database contating hydrothermal spring geochemistry that hosts and serves the full range of compositional data acquired on seafloor hydrothermal vents from all tectonic settings. It can accommodate published historical data as well as legacy and new data that investigators contribute.

Proper citation: VentDB (RRID:SCR_001632) Copy   

•   Source: SciCrunch Registry

https://dataverse.org/

Project portal for publishing, citing, sharing and discovering research data. Software, protocols, and community connections for creating research data repositories that automate professional archival practices, guarantee long term preservation, and enable researchers to share, retain control of, and receive web visibility and formal academic citations for their data contributions. Researchers, data authors, publishers, data distributors, and affiliated institutions all receive appropriate credit. Hosts multiple dataverses. Each dataverse contains studies or collections of studies, and each study contains cataloging information that describes the data plus the actual data files and complementary files. Data related to social sciences, health, medicine, humanities or other sciences with an emphasis in human behavior are uploaded to the IQSS Dataverse Network (Harvard). You can create your own dataverse for free and start adding studies for your data files and complementary material (documents, software, etc). You may install your own Dataverse Network for your University or organization.

Proper citation: Dataverse Network Project (RRID:SCR_001997) Copy   

•   Source: SciCrunch Registry

http://www.iris.edu/hq/

Passive and active source waveform data, event (earthquake) catalog, channel response data is available. This comprehensive data store of raw geophysical time-series data is collected from a large variety of sensors, courtesy of a vast array of US and International scientific networks, including seismometers (permanent and temporary), tilt and strain meters, infrasound, temperature, atmospheric pressure and gravimeters, to support basic research aimed at imaging the Earth's interior. IRIS also provides data and software for educational purposes. This consortium of over 100 US universities is dedicated to the operation of science facilities for the acquisition, management, and distribution of seismological data. IRIS programs contribute to scholarly research, education, earthquake hazard mitigation, and verification of the Comprehensive Nuclear-Test-Ban Treaty. Data is stored at the IRIS Data Management Center in Seattle, Washington. They currently manage a large archive from over tens of thousands of seismic stations and ship hundreds of terabytes of data yearly.

Proper citation: Incorporated Research Institutions for Seismology (RRID:SCR_002201) Copy   

•   Source: SciCrunch Registry

https://www.usap-dc.org/

Assists scientists in finding Antarctic scientific data of interest and submitting data for long-term preservation in accordance with their obligations under the National Science Foundation (NSF) Office of Polar Programs (OPP) Data Policy.

Proper citation: U.S. Antarctic Program Data Coordination Center (RRID:SCR_002221) Copy   

•   Source: SciCrunch Registry

http://www.earthchem.org/

Accepts and makes available geochemical, geochronlogical, and petrological data (analytical and synthesis) through this community-driven effort to facilitate the preservation, discovery, access and visualization of data generated. * PetDB holds geochemical data from sub-oceanic igneous and metamorphic rocks generated at mid-ocean ridges including back-arc basins, young seamounts, and old oceanic crust. Data are compiled primarily from the published literature. * SedDB integrates marine and terrestrial sediment geochemical data compiled primarily from the published literature. * Deep Lithosphere Data Set contains geochemical and petrological data from lower crust and upper mantle xenoliths. (more info) * VentDB contains hydrothermal spring geochemistry that hosts and serves the full range of compositional data acquired on seafloor hydrothermal vents from all tectonic settings. * NAVDAT - The Western North American Volcanic and Intrusive Rock Database * Geochron is an application that helps with the onerous task of data management for geochronological and thermochronological studies. * EarthChemPortal is the one-stop-shop for geochemical data that gives users the ability to search federated databases PetDB, NAVDAT, and GEOROC simultaneously, integrated into a common output format. (more info) * The EarthChem Library is a repository for geochemical datasets (analytical data, experimental data, synthesis databases) and other digital resources relevant to the field of geochemistry, contributed by the geochemistry community. * SESAR - System for Earth SAmple Registration

Proper citation: EarthChem (RRID:SCR_002207) Copy   

•   Source: SciCrunch Registry

http://metpetdb.rpi.edu/metpetweb/

Database / data repository for metamorphic petrology that is being designed and built by a global community of metamorphic petrologists in collaboration with computer scientists at Rensselaer Polytechnic Institute as part of the National Cyberinfrastructure Initiative.

Proper citation: MetPetDB (RRID:SCR_002208) Copy   

•   Source: SciCrunch Registry

https://ncma.bigelow.org/

National marine phytoplankton collection, maintaining over 2700 strains from around the world, most are marine phytoplankton but they also have benthic, macrophytic, freshwater and heterotrophic organisms - now incorporating bacteria and viruses. Strain records have (when available): * collection and isolation information * culturing medium recipes and growth conditions * photographs * GenBank accession link * collection site map * link to the taxonomic database Micro*scope The deposition of new strains are welcome if the strains are a valuable addition to the collection. Examples include strains that are referred to in publications, contain interesting molecular, biochemical or physiological properties, are the basis for taxonomic descriptions, are important for aquaculture, or are from an unusual geographical location or ecological habitat. The NCMA offers a course in phytoplankton culturing techniques and facilities for visiting scientists are available at the new laboratories in East Boothbay, Maine. Services include: Mass Culturing DNA and RNA, Purification, Private Holdings, Culture Techniques Course, Visiting Scientists, Single Cell Genomics, Flow Cytometry, Corporate Alliances and Technology Transfer.

Proper citation: National Center for Marine Algae and Microbiota (RRID:SCR_002120) Copy   

•   Source: SciCrunch Registry

http://csdms.colorado.edu/wiki/Main_Page

Model repository and data related to earth-surface dynamics modeling. The CSDMS Modeling Tool (CMT) allows you to run and couple CSDMS model components on the CSDMS supercomputer in a user-friendly software environment. Components in the CMT are based on models, originally submitted to the CSDMS model repository, and now adapted to communicate with other models. The CMT tool is the environment in which you can link these components together to run new simulations. The CMT software runs on your own computer; but it communicates with the CSDMS HPCC, to perform the simulations. Thus, the CMT also offers you a relatively easy way of using the CSDMS supercomputer for model experiments. CSDMS deals with the Earth's surface - the ever-changing, dynamic interface between lithosphere, hydrosphere, cryosphere, and atmosphere. They are a diverse community of experts promoting the modeling of earth surface processes by developing, supporting, and disseminating integrated software modules that predict the movement of fluids, and the flux (production, erosion, transport, and deposition) of sediment and solutes in landscapes and their sedimentary basins. CSDMS: * Produces protocols for community-generated, continuously evolving, open software * Distributes software tools and models * Provides cyber-infrastructure to promote the quantitative modeling of earth surface processes * Addresses the challenging problems of surface-dynamic systems: self-organization, localization, thresholds, strong linkages, scale invariance, and interwoven biology & geochemistry * Enables the rapid development and application of linked dynamic models tailored to specific landscape basin evolution (LBE) problems at specific temporal and spatial scales * Partners with related computational and scientific programs to eliminate duplication of effort and to provide an intellectually stimulating environment * Supports a strong linkage between what is predicted by CSDMS codes and what is observed, both in nature and in physical experiments * Supports the imperatives in Earth Science research

Proper citation: Community Surface Dynamics Modeling System (RRID:SCR_002196) Copy   

•   Source: SciCrunch Registry