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Found 200 result(s)
The World Bank recognizes that transparency and accountability are essential to the development process and central to achieving the Bank’s mission to alleviate poverty. The Bank’s commitment to openness is also driven by a desire to foster public ownership, partnership and participation in development from a wide range of stakeholders. As a knowledge institution, the World Bank’s first step is to share its knowledge freely and openly.
The Ontology Lookup Service (OLS) is a repository for biomedical ontologies that aims to provide a single point of access to the latest ontology versions. The user can browse the ontologies through the website as well as programmatically via the OLS API. The OLS provides a web service interface to query multiple ontologies from a single location with a unified output format.The OLS can integrate any ontology available in the Open Biomedical Ontology (OBO) format. The OLS is an open source project hosted on Google Code.
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Open Government Data Portal of Tamil Nadu is a platform (designed by the National Informatics Centre), for Open Data initiative of the Government of Tamil Nadu. The portal is intended to publish datasets collected by the Tamil Nadu Government for public uses in different perspective. It has been created under Software as A Service (SaaS) model of Open Government Data (OGD) and publishes dataset in open formats like CSV, XLS, ODS/OTS, XML, RDF, KML, GML, etc. This data portal has following modules, namely (a) Data Management System (DMS) for contributing data catalogs by various state government agencies for making those available on the front end website after a due approval process through a defined workflow; (b) Content Management System (CMS) for managing and updating various functionalities and content types; (c) Visitor Relationship Management (VRM) for collating and disseminating viewer feedback on various data catalogs; and (d) Communities module for community users to interact and share their views and common interests with others. It includes different types of datasets generated both in geospatial and non-spatial data classified as shareable data and non-shareable data. Geospatial data consists primarily of satellite data, maps, etc.; and non-spatial data derived from national accounts statistics, price index, census and surveys produced by a statistical mechanism. It follows the principle of data sharing and accessibility via Openness, Flexibility, Transparency, Quality, Security and Machine-readable.
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The Libraries offer members of the Université de Montréal community the opportunity to publish their research data in a Dataverse repository space
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Loyalist Migrations is a partnership between the United Empire Loyalist Association of Canada (UELAC), Huron University College’s Community History Centre, and Western Libraries’ Map and Data Centre. Our researchers use the genealogical records of the UELAC as well as other archival sources to reconstruct the migrations of thousands of exiles, refugees, economic migrants, settlers, and soldiers from all walks of life who fled the American Revolution. Not all migrants called themselves Loyalists and it is not the intention of this project to ascribe political motivations for their journeys. The migrations included a diverse array of settlers, Indigenous people, and African Americans who embarked on their journeys, willingly or forced, in search of safety and security in lands claimed by the British Empire.
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Hakai Data stores and shares research information associated with Hakai Institute. The Hakai Institute is a scientific research institution that advances long-term research at remote locations on the coastal margin of British Columbia, Canada. Hakai Data Systems: Data Catalogue, Sensor Network, Geospatial Data, Weather Stations and Webcams, ERDDAP Data Server
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The Concordia University Dataverse is a research data repository for Concordia faculty, students, and staff. Files are held in a secure environment on Canadian servers.
The Arizona State University (ASU) Research Data Repository provides a platform for ASU-affiliated researchers to share, preserve, cite, and make research data accessible and discoverable. The ASU Research Data Repository provides a permanent digital identifier for research data, which complies with data sharing policies. The repository is powered by the Dataverse open-source application, developed and used by Harvard University. Both the ASU Research Data Repository and the KEEP Institutional Repository are managed by the ASU Library to ensure research produced at Arizona State University is discoverable and accessible to the global community.
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The MacEwan University Data Repository provides a place to store, share, and explore data and supports the teaching and scholarly activity of MacEwan University.
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The University of Northern British Columbia Dataverse is a research data repository for research data from UNBC researchers. Files are held in a secure environment on Canadian servers. The platform makes it possible for researchers to deposit data, create appropriate metadata, and version documents as they work. Researchers can choose to make content available publicly, to specific individuals, or to keep it locked.
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The data download section intent is to increase the availability of Digital Data Sets produced by the Regional District of North Okanagan to outside users. The Digital Data download options will be provided as CSV, KML, Shapefile, GeoJSON.
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Coquitlam’s Open Data Portal is available to everyone without restrictions with the goal of empowering citizens, helping small businesses, supporting the development community and enhancing service delivery. Search for data or explore popular data categories to preview, analyze and download datasets. Using the available APIs, you can interact with data directly through your own maps, tables and charts. You can also download city-wide data packages, LiDAR, aerial photographs, terrain and 3D digital elevation models.
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This is the community's public platform for exploring and downloading open data and information documents, discovering and building apps, and engaging to solve important local issues. You can analyze and combine open datasets using maps, as well as develop new web and mobile applications.
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Northwest Territories Geological Survey (NTGS) Open Data presents a collection of geoscience information for the Northwest Territories. The information is grouped thematically and is ready for use in Excel, ArcMap or Google Earth
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The NWT Discovery Portal is the most comprehensive online source for environmental monitoring knowledge in the Northwest Territories. It is administered by the NWT Cumulative Impact Monitoring Program. The Portal is a search tool that allows users to access data, metadata and reports. It is also a share tool that allows users to contribute by uploading research and monitoring information.
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Essex County Open Data is afree and open data sharing portal where anyone can access and use data relating to the County of Essex and its local municipalities of Amherstburg, Essex, Kingsville, Lakeshore, LaSalle, Leamington, Tecumseh.
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Search from over 100 variety of datasets such as census results, city public WiFi locations, licensed eateries and more
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The open data movement has become an important trend in the space of a few years. Governments, companies and communities integrate open data into their innovation efforts. This project aims to enable others to further utilize Hydro-Quebec data in order to actively contribute to the energy transition.
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GRO.data is a research data repository for the Göttingen Campus. Belonging researchers can use it for free. It serves different purposes such as: to simply preserve datasets, to keep track of changes across several versions, to share data with colleagues, to make data itself publicly available, to receive a persistent identifier upon publications.
The National Deep Submergence Facility (NDSF) operates the Human Occupied Vehicle (HOV) Alvin, the Remote Operated Vehicle (ROV) Jason 2, and the Autonomous Underwater Vehicle (AUV) Sentry. Data acquired with these platforms is provided both to the science party on each expedition, and to the Woods Hole Oceanographic Institution (WHOI) Data Library.
OrthoMCL is a genome-scale algorithm for grouping orthologous protein sequences. It provides not only groups shared by two or more species/genomes, but also groups representing species-specific gene expansion families. So it serves as an important utility for automated eukaryotic genome annotation. OrthoMCL starts with reciprocal best hits within each genome as potential in-paralog/recent paralog pairs and reciprocal best hits across any two genomes as potential ortholog pairs. Related proteins are interlinked in a similarity graph. Then MCL (Markov Clustering algorithm,Van Dongen 2000; www.micans.org/mcl) is invoked to split mega-clusters. This process is analogous to the manual review in COG construction. MCL clustering is based on weights between each pair of proteins, so to correct for differences in evolutionary distance the weights are normalized before running MCL.