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Found 299 result(s)
SCEC's mission includes gathering data on earthquakes, both in Southern California and other locales; integrate the information into a comprehensive understanding of earthquake phenomena; and communicate useful knowledge for reducing earthquake risk to society at large. The SCEC community consists of more than 600 scientists from 16 core institutions and 47 additional participating institutions. SCEC is funded by the National Science Foundation and the U.S. Geological Survey.
>>>!!!<<< 2019-12-04: The repository is no longer available >>>!!!<<< Presented here are excitation cross sections measured for a select number of transitions using the Merged Electron-Ion Beams Energy Loss (MEIBEL) experiment. This is a collaboration of JILA and the Multicharged Ion Research Facility (MIRF) at Oak Ridge National Laboratory (ORNL), where the apparatus is located. Since there exist a nearly infinite number of transitions in multicharged ions we have chosen a few that serve as benchmarks for theoretical efforts. Of particular interest are forbidden transitions which are often dominated by dielectronic resonances whose positions and magnitudes are difficult to predict theoretically.
The mission of NCHS is to provide statistical information that will guide actions and policies to improve the health of the American people. As the Nation's principal health statistics agency, NCHS is responsible for collecting accurate, relevant, and timely data. NCHS' mission, and those of its counterparts in the Federal statistics system, focuses on the collection, analysis, and dissemination of information that is of use to a broad range of us.
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GBIF is an international organisation that is working to make the world's biodiversity data accessible everywhere in the world. GBIF and its many partners work to mobilize the data, and to improve search mechanisms, data and metadata standards, web services, and the other components of an Internet-based information infrastructure for biodiversity. GBIF makes available data that are shared by hundreds of data publishers from around the world. These data are shared according to the GBIF Data Use Agreement, which includes the provision that users of any data accessed through or retrieved via the GBIF Portal will always give credit to the original data publishers.
This interactive database provides complete access to statistics on seasonal cotton supply and use for each country and each region in the world, from 1920/21 to date. This project is part of ICAC’s efforts to improve the transparency of world cotton statistics.
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India Votes is India's largest public elections resource. It covers all Lok Sabha elections since 1952 and all State elections since 1977. IndiaVotes already has data on over 200 national as well as state elections and will be enriched with inputs from users. Even though election data is available online, it is not easily searchable or cannot be consumed in structured formats necessary for analysis. IndiaVotes aims to become the open-source equivalent and Wikipedia of election information in India.
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SIDER contains information on marketed medicines and their recorded adverse drug reactions. The information is extracted from public documents and package inserts. The available information include side effect frequency, drug and side effect classifications as well as links to further information, for example drug–target relations.
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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.
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The Groundwater Information Network is developed to improve knowledge of groundwater systems, and enhance groundwater management, through increased access to groundwater information. GIN connects a variety of groundwater information from authoritative sources, such as water well databases, water monitoring data, aquifer and geology maps, and related publications. Provincial and territorial collaborators include British Columbia, Alberta, Saskatchewan, Manitoba, Ontario, Québec, Nova Scotia, Yukon and Newfoundland and Labrador; international collaborators include the USGS and others.
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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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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.
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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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The Manitoba Collaborative Data Portal (MBCDP) aspires to be a single place for Manitobans to find the data they need to support their work in communities. On the MBCDP, community and government organizations and agencies can easily find a wide range of neighborhood and local-level information. The information can be used to support programs and policies, engage the public, conduct further analyses, and better understand our province and the people in it.
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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.
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.