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Found 59 result(s)

SilkPathDB

Silkworm Pathogen Database

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Silkworm Pathogen Database (SilkPathDB) is a comprehensive resource for studying on pathogens of silkworm, including microsporidia, fungi, bacteria and virus. SilkPathDB provides access to not only genomic data including functional annotation of genes and gene products, but also extensive biological information for gene expression data and corresponding researches. SilkPathDB will be help with researches on pathogens of silkworm as well as other Lepidoptera insects.

Health Atlas

Leipzig Health Atlas

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The Health Atlas is an alliance of medical ontologists, medical systems biologists and clinical trials groups to design and implement a multi-functional and quality-assured atlas. It provides models, data and metadata on specific use cases from medical research projects from the partner institutions.

Port Moody's Open Data Portal

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Port Moody's Open Data Portal gives access to data, statistics, and information about your city government. By making data accessible, we aim to promote public collaboration, increase government transparency, and spark innovation. This information will be used to inform local decision-making and will help us better plan for the future. Our data portal contains a lot of information. You can search through past and current permit, licence, and business applications. Review demographic information about program registration, find information about the location of businesses within Port Moody and filter the business directory by the type of business or service.

WorldData.AI

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WorldData.AI comes with a built-in workspace – the next-generation hyper-computing platform powered by a library of 3.3 billion curated external trends. WorldData.AI allows you to save your models in its “My Models Trained” section. You can make your models public and share them on social media with interesting images, model features, summary statistics, and feature comparisons. Empower others to leverage your models. For example, if you have discovered a previously unknown impact of interest rates on new-housing demand, you may want to share it through “My Models Trained.” Upload your data and combine it with external trends to build, train, and deploy predictive models with one click! WorldData.AI inspects your raw data, applies feature processors, chooses the best set of algorithms, trains and tunes multiple models, and then ranks model performance.

Stanford Network Analysis Project

SNAP

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Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library. It is written in C++ and easily scales to massive networks with hundreds of millions of nodes, and billions of edges. It efficiently manipulates large graphs, calculates structural properties, generates regular and random graphs, and supports attributes on nodes and edges. SNAP is also available through the NodeXL which is a graphical front-end that integrates network analysis into Microsoft Office and Excel. The SNAP library is being actively developed since 2004 and is organically growing as a result of our research pursuits in analysis of large social and information networks. Largest network we analyzed so far using the library was the Microsoft Instant Messenger network from 2006 with 240 million nodes and 1.3 billion edges. The datasets available on the website were mostly collected (scraped) for the purposes of our research. The website was launched in July 2009.

CHIANTI

An Atomic Database for Spectroscopic Diagnostics of Astrophysical Plasmas

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CHIANTI consists of a critically evaluated set of up-to-date atomic data, together with user-friendly programs written in Interactive Data Language (IDL) and Python to calculate the spectra from astrophysical plasmas.

Barbara A. Mikulski Archive for Space Telescopes

MAST

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The Mikulski Archive for Space Telescopes (MAST) is a NASA funded project to support and provide to the astronomical community a variety of astronomical data archives, with the primary focus on scientifically related data sets in the optical, ultraviolet, and near-infrared parts of the spectrum. MAST is located at the Space Telescope Science Institute (STScI).

Canadian Astronomy Data Centre

Centre canadien de données astronomiques

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The Canadian Astronomy Data Centre (CADC) was established in 1986 by the National Research Council of Canada (NRC), through a grant provided by the Canadian Space Agency (CSA). Over the past 30 years the CADC has evolved from an archiving centre---hosting data from Hubble Space Telescope, Canada-France-Hawaii Telescope, the Gemini observatories, and the James Clerk Maxwell Telescope---into a Science Platform for data-intensive astronomy. The CADC, in partnership with Shared Services Canada, Compute Canada, CANARIE and the university community (funded through the Canadian Foundation for Innovation), offers cloud computing, user-managed storage, group management, and data publication services, in addition to its ongoing mission to provide permanent storage for major data collections. Located at NRC Herzberg Astronomy and Astrophysics Research Centre in Victoria, BC, the CADC staff consists of professional astronomers, software developers, and operations staff who work with the community to develop and deliver leading-edge services to advance Canadian research. The CADC plays a leading role in international efforts to improve the scientific/technical landscape that supports data intensive science. This includes leadership roles in the International Virtual Observatory Alliance and participation in organizations like the Research Data Alliance, CODATA, and the World Data Systems. CADC also contributes significantly to future Canadian projects like the Square Kilometre Array and TMT. In 2019, the Canadian Astronomy Data Centre (CADC) delivered over 2 Petabytes of data (over 200 million individual files) to thousands of astronomers in Canada and in over 80 other countries. The cloud processing system completed over 6 million jobs (over 1100 core years) in 2019.

Monash Bridges

monash.figshare (formerly)

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Bridges is Monash University's repository for research data, collections, and research activity outputs. It is also the home of the University's online archive of PhD and Masters by Research theses.

Alternative Fuels Data Center

AFDC

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The Alternative Fuels Data Center (AFDC) is a comprehensive clearinghouse of information about advanced transportation technologies. The AFDC offers transportation decision makers unbiased information, data, and tools related to the deployment of alternative fuels and advanced vehicles. The AFDC launched in 1991 in response to the Alternative Motor Fuels Act of 1988 and the Clean Air Act Amendments of 1990. It originally served as a repository for alternative fuel performance data. The AFDC has since evolved to offer a broad array of information resources that support efforts to reduce petroleum use in transportation. The AFDC serves Clean Cities stakeholders, fleets regulated by the Energy Policy Act, businesses, policymakers, government agencies, and the general public.

EUDAT

European Data Infrastructure

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The EUDAT project aims to contribute to the production of a Collaborative Data Infrastructure (CDI). The project´s target is to provide a pan-European solution to the challenge of data proliferation in Europe's scientific and research communities. The EUDAT vision is to support a Collaborative Data Infrastructure which will allow researchers to share data within and between communities and enable them to carry out their research effectively. EUDAT aims to provide a solution that will be affordable, trustworthy, robust, persistent and easy to use. EUDAT comprises 26 European partners, including data centres, technology providers, research communities and funding agencies from 13 countries. B2FIND is the EUDAT metadata service allowing users to discover what kind of data is stored through the B2SAFE and B2SHARE services which collect a large number of datasets from various disciplines. EUDAT will also harvest metadata from communities that have stable metadata providers to create a comprehensive joint catalogue to help researchers find interesting data objects and collections.

MathRepo

Mathematical Research-Data Repository

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MathRepo is a repository of the Max Planck Institute for Mathematics in the Sciences in Leipzig, dedicated to mathematical research data. Research data are all digital objects that arise during the process of doing research or are a result thereof. In particular, the purpose of this repository is to collect scripts and code, to explain applications of mathematical software, to showcase additional examples to paper publications, and more generally to host supplementary material developed for research projects or discussed in workshops.

Geoscience Australia

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Geoscience Australia provides geosciences data on Australia's onshore and offshore natural resources discovery, sustainable energy opportunities, and potential impacts on population, economy and environment.

Chesapeake Bay Data Hub

Chesapeake Bay Program

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This interface provides access to several types of data related to the Chesapeake Bay. Bay Program databases can be queried based upon user-defined inputs such as geographic region and date range. Each query results in a downloadable, tab- or comma-delimited text file that can be imported to any program (e.g., SAS, Excel, Access) for further analysis. Comments regarding the interface are encouraged. Questions in reference to the data should be addressed to the contact provided on subsequent pages.

Deposita Dados

Repositório Comum de Dados de Pesquisa

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The Common Research Data Repository (Deposita Dados) is a database for archiving, publishing, disseminating, preserving and sharing digital research data and its mission is to promote, support and facilitate the adoption of open access to the datasets of Brazilian researchers linked to scientific institutions that do not yet have their own research data repositories and/or of Brazilian researchers who have executed their datasets through scientific collaboration in foreign teaching and research institutions.

CSISA Data Repository

Cereal Systems Initiative for South Asia (CSISA) Research Data

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In keeping with the open data policies of the U.S. Agency for International Development (USAID) and Bill & Melinda Gates Foundation, the Cereal Systems Initiative for South Asia (CSISA) has launched the CSISA Data Repository to ensure public accessibility to key data sets, including crop cut data- directly observed, crop yield estimates, on-station and on-farm research trial data and socioeconomic surveys. CSISA is a science-driven and impact-oriented regional initiative for increasing the productivity of cereal-based cropping systems in Bangladesh, India and Nepal, thus improving food security and farmers’ livelihoods. CSISA generates data that is of value and interest to a diverse audience of researchers, policymakers and the public. CSISA’s data repository is hosted on Dataverse, an open source web application developed at Harvard University to share, preserve, cite, explore and analyze research data. CSISA’s repository contains rich datasets, including on-station trial data from 2009–17 about crop and resource management practices for sustainable future cereal-based cropping systems. Collection of this data occurred during the long-term, on-station research trials conducted at the Indian Council of Agricultural Research – Research Complex for the Eastern Region in Bihar, India. The data include information on agronomic management for the sustainable intensification of cropping systems, mechanization, diversification, futuristic approaches to sustainable intensification, long-term effects of conservation agriculture practices on soil health and the pest spectrum. Additional trial data in the repository includes nutrient omission plot technique trials from Bihar, eastern Uttar Pradesh and Odisha, India, covering 2012–15, which help determine the indigenous nutrient supplying ability of the soil. This data helps develop precision nutrient management approaches that would be most effective in different types of soils. CSISA’s most popular dataset thus far includes crop cut data on maize in Odisha, India and rice in Nepal. Crop cut datasets provide ground-truthed yield estimates, as well as valuable information on relevant agronomic and socioeconomic practices affecting production practices and yield. A variety of research data on wheat systems are also available from Bangladesh and India. Additional crop cut data will also be coming online soon. Cropping system-related data and socioeconomic data are in the repository, some of which are cross-listed with a Dataverse run by the International Food Policy Research Institute. The socioeconomic datasets contain baseline information that is crucial for technology targeting, as well as to assess the adoption and performance of CSISA-supported technologies under smallholder farmers’ constrained conditions, representing the ultimate litmus test of their potential for change at scale. Other highly interesting datasets include farm composition and productive trajectory information, based on a 20-year panel dataset, and numerous wheat crop cut and maize nutrient omission trial data from across Bangladesh.

Academic Torrents

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Academic Torrents is a distributed data repository. The academic torrents network is built for researchers, by researchers. Its distributed peer-to-peer library system automatically replicates your datasets on many servers, so you don't have to worry about managing your own servers or file availability. Everyone who has data becomes a mirror for those data so the system is fault-tolerant.

DataHub Figshare

University of Hong Kong Data Repository

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Provided by the University Libraries, DataHub is the comprehensive institutional repository for research data and scholarly outputs produced by the researchers and students in the University of Hong Kong and their collaborators.

GAVO Data Centre

German Astrophysical Virtual Observatory Data Centre

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The GAVO data centre at Zentrum für Astronomie Heidelberg publishes astronomical data of all kinds – e.g., catalogues, images, spectra, time series, simulation results – in accordance with Virtual Observatory standards, making them findable and immediately usable through popular clients like TOPCAT, Aladin, or programatically through the astropy-affiliated package pyVO or the Java library STIL. We pay particular attention to providing thorough metadata to the VO Registry in order to facilitate discovery and reuse. While we have a clear focus on data produced with German contributions, we will usually publish data of other provenance, too. See https://docs.g-vo.org/DaCHS/data_checklist.html for an overview of what resource-level metadata we ask for; contact us for further information on how to publish through the German Astronomical Virtual Observatory.

Tropical Cyclone Information System

JPL Tropical Cyclone Information System

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The JPL Tropical Cyclone Information System (TCIS) was developed to support hurricane research. There are three components to TCIS; a global archive of multi-satellite hurricane observations 1999-2010 (Tropical Cyclone Data Archive), North Atlantic Hurricane Watch and ASA Convective Processes Experiment (CPEX) aircraft campaign. Together, data and visualizations from the real time system and data archive can be used to study hurricane process, validate and improve models, and assist in developing new algorithms and data assimilation techniques.

MODES

Modal view of atmospheric circulation

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MODES focuses on the representation of the inertio-gravity circulation in numerical weather prediction models, reanalyses, ensemble prediction systems and climate simulations. The project methodology relies on the decomposition of global circulation in terms of 3D orthogonal normal-mode functions. It allows quantification of the role of inertio-gravity waves in atmospheric varibility across the whole spectrum of resolved spatial and temporal scales. MODES is compiled by using gfortran although other options have been succesfully tested. The application requires the use of the netcdf and (optionally) grib-api libraries.

Birdbase

A database of avian genes & genomes

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<<<!!!<<< This repository is no longer available. >>>!!!>>> The sequencing of several bird genomes and the anticipated sequencing of many more provided the impetus to develop a model organism database devoted to the taxonomic class: Aves. Birds provide model organisms important to the study of neurobiology, immunology, genetics, development, oncology, virology, cardiovascular biology, evolution and a variety of other life sciences. Many bird species are also important to agriculture, providing an enormous worldwide food source worldwide. Genomic approaches are proving invaluable to studying traits that affect meat yield, disease resistance, behavior, and bone development along with many other factors affecting productivity. In this context, BirdBase will serve both biomedical and agricultural researchers.

Canadian Open Neuroscience Platform Portal

CONP

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The CONP portal is a web interface for the Canadian Open Neuroscience Platform (CONP) to facilitate open science in the neuroscience community. CONP simplifies global researcher access and sharing of datasets and tools. The portal internalizes the cycle of a typical research project: starting with data acquisition, followed by processing using already existing/published tools, and ultimately publication of the obtained results including a link to the original dataset. From more information on CONP, please visit https://conp.ca

Research Data Leeds Repository

RDL Repository

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Research Data Leeds is the institutional research data repository for the University of Leeds. The service aims to facilitate data discovery and data sharing. The repository houses data generated by researchers at the University of Leeds.

European Union Open Data Portal

EU Open Data Portal

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The European Union Open Data Portal is the single point of access to a growing range of data from the institutions and other bodies of the European Union (EU). Data are free for you to use and reuse for commercial or non-commercial purposes. By providing easy and free access to data, the portal aims to promote their innovative use and unleash their economic potential. It also aims to help foster the transparency and the accountability of the institutions and other bodies of the EU. The EU Open Data Portal is managed by the Publications Office of the European Union. Implementation of the EU's open data policy is the responsibility of the Directorate-General for Communications Networks, Content and Technology of the European Commission.