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Found 99 result(s)
>>>!!!<<< caArray Retirement Announcement >>>!!!<<< The National Cancer Institute (NCI) Center for Biomedical Informatics and Information Technology (CBIIT) instance of the caArray database was retired on March 31st, 2015. All publicly-accessible caArray data and annotations will be archived and will remain available via FTP download https://wiki.nci.nih.gov/x/UYHeDQ and is also available at GEO http://www.ncbi.nlm.nih.gov/geo/ . >>>!!!<<< While NCI will not be able to provide technical support for the caArray software after the retirement, the source code is available on GitHub https://github.com/NCIP/caarray , and we encourage continued community development. Molecular Analysis of Brain Neoplasia (Rembrandt fine-00037) gene expression data has been loaded into ArrayExpress: http://www.ebi.ac.uk/arrayexpress/experiments/E-MTAB-3073 >>>!!!<<< caArray is an open-source, web and programmatically accessible microarray data management system that supports the annotation of microarray data using MAGE-TAB and web-based forms. Data and annotations may be kept private to the owner, shared with user-defined collaboration groups, or made public. The NCI instance of caArray hosts many cancer-related public datasets available for download.
The project is set up in order to improve the infrastructure for text-based linguistic research and development by building a huge, automatically annotated German text corpus and the corresponding tools for corpus annotation and exploitation. DeReKo constitutes the largest linguistically motivated collection of contemporary German texts, contains fictional, scientific and newspaper texts, as well as several other text types, contains only licenced texts, is encoded with rich meta-textual information, is fully annotated morphosyntactically (three concurrent annotations), is continually expanded, with a focus on size and stratification of data, may be analyzed free of charge via the query system COSMAS II, serves as a 'primordial sample' from which users may draw specialized sub-samples (socalled 'virtual corpora') to represent the language domain they wish to investigate. !!! Access to data of Das Deutsche Referenzkorpus is also provided by: IDS Repository https://www.re3data.org/repository/r3d100010382 !!!
Weed Images is a project of the University of Georgia’s Center for Invasive Species and Ecosystem Health and one of the four major parts of BugwoodImages. The Focus is on damages of weed. It provides an easily accessible archive of high quality images for use in educational applications. In most cases, the images found in this system were taken by and loaned to us by photographers other than ourselves. Most are in the realm of public sector images. The photographs are in this system to be used.
Knoema is a knowledge platform. The basic idea is to connect data with analytical and presentation tools. As a result, we end with one uniformed platform for users to access, present and share data-driven content. Within Knoema, we capture most aspects of a typical data use cycle: accessing data from multiple sources, bringing relevant indicators into a common space, visualizing figures, applying analytical functions, creating a set of dashboards, and presenting the outcome.
CLARIN.SI is the Slovenian node of the European CLARIN (Common Language Resources and Technology Infrastructure) Centers. The CLARIN.SI repository is hosted at the Jožef Stefan Institute and offers long-term preservation of deposited linguistic resources, along with their descriptive metadata. The integration of the repository with the CLARIN infrastructure gives the deposited resources wide exposure, so that they can be known, used and further developed beyond the lifetime of the projects in which they were produced. Among the resources currently available in the CLARIN.SI repository are the multilingual MULTEXT-East resources, the CC version of Slovenian reference corpus Gigafida, the morphological lexicon Sloleks, the IMP corpora and lexicons of historical Slovenian, as well as many other resources for a variety of languages. Furthermore, several REST-based web services are provided for different corpus-linguistic and NLP tasks.
The LINZ Data Service provides free online access to New Zealand’s most up-to-date land and seabed data. The data can be searched, browsed and downloaded. The LINZ web services can be also integrated into other applications.
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The Climate Change Centre Austria - Data Centre provides the central national archive for climate data and information. The data made accessible includes observation and measurement data, scenario data, quantitative and qualitative data, as well as the measurement data and findings of research projects.
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The CosmoSim database provides results from cosmological simulations performed within different projects: the MultiDark and Bolshoi project, and the CLUES project. The CosmoSim webpage provides access to several cosmological simulations, with a separate database for each simulation. Simulations overview: https://www.cosmosim.org/cms/simulations/simulations-overview/ . CosmoSim is a contribution to the German Astrophysical Virtual Observatory.
Constellation is a digital object identifier (DOI) based science network for supercomputing data. Constellation makes it possible for OLCF researchers to obtain DOIs for large data collections by tying them together with the associated resources and processes that went into the production of the data (e.g., jobs, collaborators, projects), using a scalable database. It also allows the annotation of the scientific conduct with rich metadata, and enables the cataloging and publishing of the artifacts for open access, aiding in scalable data discovery. OLCF users can use the DOI service to publish datasets even before the publication of the paper, and retain key data even after project expiration. From a center standpoint, DOIs enable the stewardship of data, and better management of the scratch and archival storage.
The CAS Data Catalog contains a variety of atmospheric and oceanic energy budget calculations derived from satellites and Reanalysis products. The CAS Data Catalog has been archived in favor of the Climate Data Guide https://www.re3data.org/repository/r3d100012500. Please visit that website for your climate data needs and to view datasets from the CAS Data Catalog refer to the Climate Analysis Section (CAS) Data Catalog tag (https://climatedataguide.ucar.edu/collections/climate-analysis-section-cas-data-catalog) on the Climate Data Guide website.
When published in 2005, the Millennium Run was the largest ever simulation of the formation of structure within the ΛCDM cosmology. It uses 10(10) particles to follow the dark matter distribution in a cubic region 500h(−1)Mpc on a side, and has a spatial resolution of 5h−1kpc. Application of simplified modelling techniques to the stored output of this calculation allows the formation and evolution of the ~10(7) galaxies more luminous than the Small Magellanic Cloud to be simulated for a variety of assumptions about the detailed physics involved. As part of the activities of the German Astrophysical Virtual Observatory we have created relational databases to store the detailed assembly histories both of all the haloes and subhaloes resolved by the simulation, and of all the galaxies that form within these structures for two independent models of the galaxy formation physics. We have implemented a Structured Query Language (SQL) server on these databases. This allows easy access to many properties of the galaxies and halos, as well as to the spatial and temporal relations between them. Information is output in table format compatible with standard Virtual Observatory tools. With this announcement (from 1/8/2006) we are making these structures fully accessible to all users. Interested scientists can learn SQL and test queries on a small, openly accessible version of the Millennium Run (with volume 1/512 that of the full simulation). They can then request accounts to run similar queries on the databases for the full simulations. In 2008 and 2012 the simulations were repeated.
The United States Census Bureau (officially the Bureau of the Census, as defined in Title 13 U.S.C. § 11) is the government agency that is responsible for the United States Census. It also gathers other national demographic and economic data. As a part of the United States Department of Commerce, the Census Bureau serves as a leading source of data about America's people and economy. The most visible role of the Census Bureau is to perform the official decennial (every 10 years) count of people living in the U.S. The most important result is the reallocation of the number of seats each state is allowed in the House of Representatives, but the results also affect a range of government programs received by each state. The agency director is a political appointee selected by the President of the United States.
The Satellite Application Facility on Climate Monitoring (CM SAF) develops, produces, archives and disseminates satellite-data-based products in support to climate monitoring. The product suite mainly covers parameters related to the energy & water cycle and addresses many of the Essential Climate Variables as defined by GCOS (GCOS 138). The CM SAF produces both Enviromental Data Records and Climate Data Records.
The Marine Geoscience Data System (MGDS) is a trusted data repository that provides free public access to a curated collection of marine geophysical data products and complementary data related to understanding the formation and evolution of the seafloor and sub-seafloor. Developed and operated by domain scientists and technical specialists with deep knowledge about the creation, analysis and scientific interpretation of marine geoscience data, the system makes available a digital library of data files described by a rich curated metadata catalog. MGDS provides tools and services for the discovery and download of data collected throughout the global oceans. Primary data types are geophysical field data including active source seismic data, potential field, bathymetry, sidescan sonar, near-bottom imagery, other seafloor senor data as well as a diverse array of processed data and interpreted data products (e.g. seismic interpretations, microseismicity catalogs, geologic maps and interpretations, photomosaics and visualizations). Our data resources support scientists working broadly on solid earth science problems ranging from mid-ocean ridge, subduction zone and hotspot processes, to geohazards, continental margin evolution, sediment transport at glaciated and unglaciated margins.
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The server ESTHER (ESTerases and alpha/beta-Hydrolase Enzymes and Relatives) is dedicated to the analysis of proteins or protein domains belonging to the superfamily of alpha/beta-hydrolases, exemplified by the cholinesterases.
GNPS is a web-based mass spectrometry ecosystem that aims to be an open-access knowledge base for community-wide organization and sharing of raw, processed or identified tandem mass (MS/MS) spectrometry data. GNPS aids in identification and discovery throughout the entire life cycle of data; from initial data acquisition/analysis to post publication.
LOVD portal provides LOVD software and access to a list of worldwide LOVD applications through Locus Specific Database list and List of Public LOVD installations. The LOVD installations that have indicated to be included in the global LOVD listing are included in the overall LOVD querying service, which is based on an API.
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The geophysical database, GERDA, is a strong tool for data storage, handling and QC. Data are uploaded to and downloaded from the GERDA database through this website. GERDA is the Danish national database on shallow geophysical data. Since its establishment in 1998-2000, the database has been continuously developed. The database is hosted by the Geological Survey of Denmark and Greenland (GEUS).
The ISRCTN registry is a primary clinical trial registry recognised by WHO and ICMJE that accepts all clinical research studies (whether proposed, ongoing or completed), providing content validation and curation and the unique identification number necessary for publication. All study records in the database are freely accessible and searchable. ISRCTN supports transparency in clinical research, helps reduce selective reporting of results and ensures an unbiased and complete evidence base. ISRCTN accepts all studies involving human subjects or populations with outcome measures assessing effects on human health and well-being, including studies in healthcare, social care, education, workplace safety and economic development.
Launched in December 2013, Gaia is destined to create the most accurate map yet of the Milky Way. By making accurate measurements of the positions and motions of stars in the Milky Way, it will answer questions about the origin and evolution of our home galaxy. The first data release (2016) contains three-dimensional positions and two-dimensional motions of a subset of two million stars. The second data release (2018) increases that number to over 1.6 Billion. Gaia’s measurements are as precise as planned, paving the way to a better understanding of our galaxy and its neighborhood. The AIP hosts the Gaia data as one of the external data centers along with the main Gaia archive maintained by ESAC and provides access to the Gaia data releases as part of Gaia Data Processing and Analysis Consortium (DPAC).
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With the KIT Whole-Body Human Motion Database, we aim to provide a simple way of sharing high-quality motion capture recordings of human whole-body motion. In addition, with the Motion Annotation Tool (https://motion-annotation.humanoids.kit.edu/ ), we aim to collect a comprehensive set of whole-body motions along with natural language descriptions of these motions (https://motion-annotation.humanoids.kit.edu/dataset/).
EIDA, an initiative within ORFEUS, is a distributed data centre established to (a) securely archive seismic waveform data and related metadata, gathered by European research infrastructures, and (b) provide transparent access to the archives by the geosciences research communities. EIDA nodes are data centres which collect and archive data from seismic networks deploying broad-band sensors, short period sensors, accelerometers, infrasound sensors and other geophysical instruments. Networks contributing data to EIDA are listed in the ORFEUS EIDA networklist (http://www.orfeus-eu.org/data/eida/networks/). Data from the ORFEUS Data Center (ODC), hosted by KNMI, are available through EIDA. Technically, EIDA is based on an underlying architecture developed by GFZ to provide transparent access to all nodes' data. Data within the distributed archives are accessible via the ArcLink protocol (http://www.seiscomp3.org/wiki/doc/applications/arclink).