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Found 352 result(s)
In early 2010 we updated the site to facilitate more rapid transfer of our data to the public database and focus our efforts on the core mission of providing expression pattern images to the research community. The original database https://www.fruitfly.org/index.html reproduced functions available on FlyBase, complicating our updates by the requirement to re-synchronize with FlyBase updates. Our expression reports on the new site still link to FlyBase gene reports, but we no longer reproduce FlyBase functions and therefore can update expression data on an ongoing basis instead of more infrequent major releases. All the functions relating to the expression patterns remain and we soon will add an option to search expression patterns by image similarity, in addition to annotation term searches. In a transitional phase we will leave both the old and the new sites up, but the newer data (post Release 2) will appear only on the new website. We welcome any feedback or requests for additional features. - The goals of the Drosophila Genome Center are to finish the sequence of the euchromatic genome of Drosophila melanogaster to high quality and to generate and maintain biological annotations of this sequence. In addition to genomic sequencing, the BDGP is 1) producing gene disruptions using P element-mediated mutagenesis on a scale unprecedented in metazoans; 2) characterizing the sequence and expression of cDNAs; and 3) developing informatics tools that support the experimental process, identify features of DNA sequence, and allow us to present up-to-date information about the annotated sequence to the research community.
ScienceBase provides access to aggregated information derived from many data and information domains, including feeds from existing data systems, metadata catalogs, and scientists contributing new and original content. ScienceBase architecture is designed to help science teams and data practitioners centralize their data and information resources to create a foundation needed for their work. ScienceBase, both original software and engineered components, is released as an open source project to promote involvement from the larger scientific programming community both inside and outside the USGS.
Content type(s)
>>>!!!<<< The NCI Cancer Models Database, caMOD, was retired on December 24, 2015. Information about many of the mouse models hosted in caMOD was obtained from the Jackson Laboratory Mouse Tumor Biology (MTB) Database and can be accessed through that resource http://tumor.informatics.jax.org/mtbwi/index.do . See caMOD Retirement Announcement https://wiki.nci.nih.gov/display/caMOD/caMOD+Retirement+Announcement >>>>!!<<< Query the Cancer Models database for models submitted by fellow researchers. Retrieve information about the making of models, their genetic description, histopathology, derived cell lines, associated images, carcinogenic agents, and therapeutic trials. Links to associated publications and other resources are provided.
DATA.NASA.GOV is NASA's clearinghouse site for open-data provided to the public. Tens of thousands of datasets are available for you. This site is a continually growing catalog of publicly available NASA Datasets, APIs, Visualizations, and more.
The Avian Knowledge Network (AKN) is an international network of governmental and non-governmental institutions and individuals linking avian conservation, monitoring and science through efficient data management and coordinated development of useful solutions using best-science practices based on the data.
IDEALS is an institutional repository that collects, disseminates, and provides persistent and reliable access to the research and scholarship of faculty, staff, and students at the University of Illinois at Urbana-Champaign. Faculty, staff, graduate students, and in some cases undergraduate students, can deposit their research and scholarship directly into IDEALS. Departments can use IDEALS to distribute their working papers, technical reports, or other research material. Contact us at https://www.ideals.illinois.edu/feedback for more information.
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A machine learning data repository with interactive visual analytic techniques. This project is the first to combine the notion of a data repository with real-time visual analytics for interactive data mining and exploratory analysis on the web. State-of-the-art statistical techniques are combined with real-time data visualization giving the ability for researchers to seamlessly find, explore, understand, and discover key insights in a large number of public donated data sets. This large comprehensive collection of data is useful for making significant research findings as well as benchmark data sets for a wide variety of applications and domains and includes relational, attributed, heterogeneous, streaming, spatial, and time series data as well as non-relational machine learning data. All data sets are easily downloaded into a standard consistent format. We also have built a multi-level interactive visual analytics engine that allows users to visualize and interactively explore the data in a free-flowing manner.
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Phaidra Universität Wien, is the innovative whole-university digital asset management system with long-term archiving functions, offers the possibility to archive valuable data university-wide with permanent security and systematic input, offering multilingual access using metadata (data about data), thus providing worldwide availability around the clock. As a constant data pool for administration, research and teaching, resources can be used flexibly, where continual citability allows the exact location and retrieval of prepared digital objects.
A database for plant breeders and researchers to combine, visualize, and interrogate the wealth of phenotype and genotype data generated by the Triticeae Coordinated Agricultural Project (TCAP).
STRENDA DB is a storage and search platform supported by the Beilstein-Institut that incorporates the STRENDA Guidelines in a user-friendly, web-based system. If you are an author who is preparing a manuscript containing functional enzymology data, STRENDA DB provides you the means to ensure that your data sets are complete and valid before you submit them as part of a publication to a journal. Data entered in the STRENDA DB submission form are automatically checked for compliance with the STRENDA Guidelines; users receive warnings informing them when necessary information is missing.
The Australian National University undertake work to collect and publish metadata about research data held by ANU, and in the case of four discipline areas, Earth Sciences, Astronomy, Phenomics and Digital Humanities to develop pipelines and tools to enable the publication of research data using a common and repeatable approach. Aims and outcomes: To identify and describe research data held at ANU, to develop a consistent approach to the publication of metadata on the University's data holdings: Identification and curation of significant orphan data sets that might otherwise be lost or inadvertently destroyed, to develop a culture of data data sharing and data re-use.
<<<!!!<<< The NCI CBIIT instance of the NBIA application was retired in March 2022. All data in the application has been transferred to The Cancer Image Archive https://www.re3data.org/repository/r3d100011559 and is available via the Access the Data > Search Radiology Portal menu item. The NBIA software is now maintained on GitHub, and can be built and deployed with the latest improvements and fixes that have been completed for TCIA. >>>!!!>>>
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The BAMF-FDZ is part of the BAMF Research Centre. The establishment of the Research Data Centre is, among others, the result of an amendment to the German Act on the Central Register of Foreigners (Ausländerzentralregistergesetz, AZRG). The data service is free of charge.
Reference anatomies of the brain and corresponding atlases play a central role in experimental neuroimaging workflows and are the foundation for reporting standardized results. The choice of such references —i.e., templates— and atlases is one relevant source of methodological variability across studies, which has recently been brought to attention as an important challenge to reproducibility in neuroscience. TemplateFlow is a publicly available framework for human and nonhuman brain models. The framework combines an open database with software for access, management, and vetting, allowing scientists to distribute their resources under FAIR —findable, accessible, interoperable, reusable— principles. TemplateFlow supports a multifaceted insight into brains across species, and enables multiverse analyses testing whether results generalize across standard references, scales, and in the long term, species, thereby contributing to increasing the reliability of neuroimaging results.
The Netherlands Polar Data Center (NPDC) is part of the Netherlands Polar Program (NPP). NPDC archives and provides access to the data of Polar Research by researchers funded by Dutch Research Council (NWO) or otherwise carried out by researchers from Dutch universities and research institutions. The repository provides: 1) An overview of current and completed projects from the Netherlands Polar Programme (NPP) and other Dutch projects in the Polar Regions; 2) Access to the data of research carried out by Dutch researchers in the Polar Regions; and, 3) Links to external sources of Polar research data. For more information about the NPDC and the services it may offer to the Dutch Polar research community see https://npdc.nl/npdc.
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The National Genomics Data Center (NGDC), part of the China National Center for Bioinformation (CNCB), advances life & health sciences by providing open access to a suite of resources, with the aim to translate big data into big discoveries and support worldwide activities in both academia and industry.
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WildTrax is an online platform for storing, managing, and sharing environmental sensor Data. WildTrax was created through a partnership between the University of Alberta, Dr. Erin Bayne and the Bioacoustic Unit, the Alberta Biodiversity Monitoring Institute (ABMI), and Environment and Climate Change Canada (ECCC)
The Geo Big Data Open Platform of the Korea Institute of Geological Resources is a data-based repository that allows anyone to easily access the latest geological resource information scattered in Korea. It was established for the purpose of quickly organizing and providing domestic and foreign geological resource research information pouring out of a super-gap society to utilize the solution of national social problems and create an open science research ecosystem in the geological resource field.
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Multidisciplinary research data repository, hosted by DTU, the Danish Technical University.
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The BCCM/DCG public collection is the only culture collection worldwide specialized in diatoms, the most species-rich and ecologically important group of algae. However, other microalgae interesting from a scientific or applied perspective are also included in this collection. Strains can be kept as safe deposits or public deposits. These latter are available worldwide as research or reference material for both, scientific institutions and companies.
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NIMRF offers state-owned specimens with scientific values, including minerals, rocks and fossils. As a data provider, it is our mission to advance the understanding of geo-resources and to provide services for academia, education and scientific popularization in the field of geoscience through collecting, organizing, and sharing specimen resources as well as attaching links to rock-mineral-fossil websites worldwide.
Digital Rocks is a data portal for fast storage and retrieval of images of varied porous micro-structures. It has the purpose of enhancing research resources for modeling/prediction of porous material properties in the fields of Petroleum, Civil and Environmental Engineering as well as Geology. This platform allows managing and preserving available images of porous materials and experiments performed on them, and any accompanying measurements (porosity, capillary pressure, permeability, electrical, NMR and elastic properties, etc.) required for both validation on modeling approaches and the upscaling and building of larger (hydro)geological models. Starting September 2021 we charge fees for publishing larger projects; projects < 2GB remain free: see user agreement https://www.digitalrocksportal.org/user-agreement/
Gene Expression Omnibus: a public functional genomics data repository supporting MIAME-compliant data submissions. Array- and sequence-based data are accepted. Tools are provided to help users query and download experiments and curated gene expression profiles.