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Found 1425 result(s)
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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 Alcohol and Gaming Commission of Ontario’s Data Inventory lists all of the agency’s data sets and identifies whether a data set is currently open, in the process of being opened or exempt from being released as open data due to legal, security, privacy, confidentiality or commercially-sensitive reasons.
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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.
COViMS (COVID-19 Infections in MS & Related Diseases) is a joint effort of the National MS Society, Consortium of MS Centers and Multiple Sclerosis Society of Canada to capture information on outcomes of people with MS and other CNS demyelinating diseases (Neuromyelitis Optica, or MOG antibody disease) who have developed COVID-19.
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The center's main task is to introduce, collect and preserve dog laboratory animal varieties, strains, develop and maintain new technologies, cultivate new varieties and strains, and provide standard experimental seeds. In 2019, the Ministry of Science and Technology and the Ministry of Finance, for the purpose of improving the scientific and technological resources sharing service system, promoted the opening and sharing of scientific and technological resources to society, and carried out the optimization and adjustment of the national platform. The National Canine Laboratory Animal Seed Center was successfully approved as the only "National Canine Laboratory Animal Resource Center".
Museum explorers travel to ocean depths, the peaks of the Andes, Africa's Rift Valley, the rainforests of South America, and the deserts of Central Asia. Perhaps even to a field site or research institution in your own state, territory or country. In each area, researchers collect specimens: fossils, minerals, and rocks, plants and animals, tools and artworks. Collections care professionals have meticulously preserved, labeled, cataloged, and organized items of this kind for more than 150 years. Taken together, the NMNH collections form the largest, most comprehensive natural history collection in the world. By comparing items gathered in different eras and regions, scientists learn how our world has varied across time and space.
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KU Leuven RDR (pronounced "RaDaR") is KU Leuven's Research Data Repository, built on Dataverse.org - open source repository software built by Harvard University. RDR gives KU Leuven researchers a one-stop platform to upload, describe, and share their research data, conveniently and with support from university staff.
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The repository stores resources generated by this University. It is organized into five collections: theses and dissertations; teaching material to support online training courses; OA publications from the university press; and historical documentation (includes academic journals and monographs in Spanish (1875-1940) and original material on local educational institutions (16th-20th centuries).
The Perovskite Database Project aims at making all perovskite device data, both past and future, available in a form adherent to the FAIR data principles, i.e. findable, accessible, interoperable, and reusable.
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The MAPPA Open Data archaeological archive (MOD) is an archaeological digital archive that publishes the archaeological documentation (Dataset) and gray literature (Reports) produced in the course of archaeological investigations.
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National Materials Corrosion and Protection Scientific Data Center, the competent department is the Ministry of Education, the supporting unit is the University of Science and Technology Beijing, is a long-standing base for material environmental corrosion data accumulation and experimental research, an authoritative institution for material corrosion testing, testing and analysis, as well as a platform for basic scientific research and personnel training in material corrosion. At present, the integration of the completion of the national materials corrosion and protection experimental research base composed of 32 national test stations and materials corrosion platform center, the construction of the national materials corrosion and environmental data science center, the center fully use of modern information technology, effective integration of scientific and technological resources, for scientific research, technology research and development, enterprise innovation and major engineering construction to provide information technology, network technology support services.
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The Digital Collections include digitized manuscripts, prints, music, maps, photographs, newspapers and magazines from the rich holdings of the Bayerische Staatsbibliothek. Almost the entire content (>98%) is available for download for research purposes or via IIIF APIs, including all available OCR data.
IsoArcH is an open access isotope web-database for bioarchaeological samples from prehistoric and historical periods all over the world. With 40,000+ isotope related data obtained on 13,000+ specimens (i.e., humans, animals, plants and organic residues) coming from 500+ archaeological sites, IsoArcH is now one of the world's largest repositories for isotopic data and metadata deriving from archaeological contexts. IsoArcH allows to initiate big data initiatives but also highlights research lacks in certain regions or time periods. Among others, it supports the creation of sound baselines, the undertaking of multi-scale analysis, and the realization of extensive studies and syntheses on various research issues such as paleodiet, food production, resource management, migrations, paleoclimate and paleoenvironmental changes.
The EBiSC Catalogue is a collection of human iPS cells being made available to academic and commercial researchers for use in disease modelling and other forms of preclinical research. The initial collection has been generated from a wide range of donors representing specific disease backgrounds and healthy controls. As the collection grows, more isogenic control lines will become available which will add further to the collection’s appeal.
The ISSAID website gathers resources related to the systemic autoinflammatory diseases in order to facilitate contacts between interested physicians and researchers. The website provides support to share and rapidly disseminate information, thoughts, feelings and experiences to improve the quality of life of patients and families affected by systemic autoinflammatory diseases, and promote advances in the search for causes and cures.
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The National Earthquake Database (NEDB) comprises a number of separate databases that together act as the national repository for all raw seismograph data, measurements, and derived parameters arising from the Canadian National Seismograph Network (CNSN), the Yellowknife Seismological Array (YKA), previous regional telemetered networks in eastern and western Canada (ECTN, WCTN), local telemetered networks (CLTN, SLTN), the Regional Analogue Network, and the former Standard Seismograph Network (CSN). It supports the efforts of Earthquakes Canada in Canadian seismicity monitoring, global seismic monitoring, verification of the Comprehensive nuclear Test Ban Treaty, and international data exchange. It also supports the Nuclear Explosion Monitoring project.
Jason is a remote-controlled deep-diving vessel that gives shipboard scientists immediate, real-time access to the sea floor. Instead of making short, expensive dives in a submarine, scientists can stay on deck and guide Jason as deep as 6,500 meters (4 miles) to explore for days on end. Jason is a type of remotely operated vehicle (ROV), a free-swimming vessel connected by a long fiberoptic tether to its research ship. The 10-km (6 mile) tether delivers power and instructions to Jason and fetches data from it.
EBRAINS offers one of the most comprehensive platforms for sharing brain research data ranging in type as well as spatial and temporal scale. We provide the guidance and tools needed to overcome the hurdles associated with sharing data. The EBRAINS data curation service ensures that your dataset will be shared with maximum impact, visibility, reusability, and longevity, https://ebrains.eu/services/data-knowledge/share-data. Find data - the user interface of the EBRAINS Knowledge Graph - allows you to easily find data of interest. EBRAINS hosts a wide range of data types and models from different species. All data are well described and can be accessed immediately for further analysis.
The European Database of Seismogenic Faults (EDSF) was compiled in the framework of the EU Project SHARE, Work Package 3, Task 3.2. EDSF includes only faults that are deemed to be capable of generating earthquakes of magnitude equal to or larger than 5.5 and aims at ensuring a homogeneous input for use in ground-shaking hazard assessment in the Euro-Mediterranean area. Several research institutions participated in this effort with the contribution of many scientists (see the Database section for a full list). The EDSF database and website are hosted and maintained by INGV.
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Risklayer Explorer is a collaboration between Risklayer GmbH and the Karlsruhe Institute of Technology's Center for Disaster Risk Management and Risk Reduction Technology (CEDIM). This website is still under development, but we are going live with it already, because we want to present data on the Novel Coronavirus (COVID-19) to help inform the public of the current situation. You will be able to track disaster events and read about our analysis here. Our work is a continuation of a new style of disaster research started by CEDIM in 2011 to analyze disasters immediately after their occurrence, assess the impacts, and retrace the temporal development of disaster events. We are already analyzing damaging earthquakes globally, providing you with event characteristics, earthquake's intensity footprints, as well as the population affected by earthquakes. In addition to earthquake events, we expect to be tracking and analyzing tropical cyclone, volcano and extreme weather events in 2020.
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.
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The National Microbial Data Center (NMDC) is jointly constructed by the Institute of Microbiology of the Chinese Academy of Sciences (IMS), the Institute of Oceanography of the Chinese Academy of Sciences, the Institute of Infectious Diseases of the Chinese Center for Disease Control and Prevention, the Institute of Plant Physiology and Ecology of the Chinese Academy of Sciences, and the Computer Network Information Centre of the Chinese Academy of Sciences. The General Office of the Chinese Academy of Sciences is the parent department. The data resources covering the whole life cycle of microbiological research, including microbiological resources, microbiological and cross-technological methods, research processes and engineering, microbiomics, microbiological technologies, as well as microbiological literature, patents, experts and results. The Centre focuses on promoting the convergence and integration of scientific and technological resources in the field of microbiology to the national platform, strengthening the development, application and analysis of microbiological resources, enhancing the effective use of microbiological resources and the ability to support scientific and technological innovation, and providing high-quality scientific and technological resource sharing services for scientific research, technological progress and social development.
The ACE Science Center (ASC) serves to facilitate collaborative work on data from the Advanced Composition Explorer (ACE) spacecraft and to ensure that those data are properly archived and publicly available. The collaborators served are not limited to ACE project-funded investigators.