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Found 21 result(s)
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data.public.lu is Luxembourg's central and official platform for data from the public sector, from research institutes and the private sector.
The Archaeological Map of the Czech Republic (AMCR) is a repository designed for information on archaeological investigations, sites and finds, operated by the Archaeological Institutes of the CAS in Prague and Brno. The archives of these institutions contain documentation of archaeological fieldwork on the territory of the Czech Republic from 1919 to the present day, and they continue to enrich their collections. The AMCR database and related documents form the largest collection of archaeological data concerning the Czech Republic and are therefore an important part of our cultural heritage. The AMCR digital archive contains various types of records - individual archaeological documents (texts, field photographs, aerial photographs, maps and plans, digital data), projects, fieldwork events, archaeological sites, records of individual finds and a library of 3D models. Data and descriptive information are continuously taken from the AMCR and presented in the the AMCR Digital Archive interface.
IATI is a voluntary, multi-stakeholder initiative that seeks to improve the transparency of aid, development, and humanitarian resources in order to increase their effectiveness in tackling poverty. IATI brings together donor and recipient countries, civil society organisations, and other experts in aid information who are committed to working together to increase the transparency and openness of aid. - See more at: https://iatistandard.org/en/about/#sthash.BYPZ6NPt.dpuf
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The UNAM opens the door to share millions of open data for the benefit of education and research. With this portal (www.datosabiertos.unam.mx) the university shares records of digital collections, academic research projects, repositories and publications to generate new knowledge. This way, it works as an online access point to search university collections authorized for their use, reuse and free redistribution by anyone, without copyright restrictions, patents or other control mechanisms, as long as the Terms of Free Use for UNAM Open Data are respected. The UNAM Open Data Portal contains data, digital objects and geospatial layers of biological collections, artistic work, music, veterinary medicine, university projects, among others. It allows databases to be consulted and downloaded in open and structured formats. One of the most outstanding collections is the National Herbarium of Mexico (MEXU), with almost two million records and high resolution images of plants around the world, mainly collected in Mexico. MEXU is the largest herbarium in the country and in Latin America; it’s among one of the ten most active herbariums in the world.
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Open Data reflects a commitment to open, accountable and transparent government. Open Data is a practice that makes data/information freely available to everyone to use and republish.
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This site provides access to over 210,000 digitized or born-digital images in the Koç University collections featuring prints, photographs, slides, maps, newspapers, posters, postcards, manuscripts, streaming video, and more. The collections consist of the materials of the Koç University Libraries and Archives (AKMED, ANAMED, SKL, and VEKAM), Koç University Faculty and Departments, and projects carried out in partnership with the Koç University Libraries. It includes the Koç University Institutional Repository (KU-IR).
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As part of Halifax Regional Municipality’s commitment to improving citizen engagement and enhancing transparency and accountability to its residents, the municipality is pleased to provide public access to its data. Open Data is a permanent service provided to citizens and businesses to access data free of charge in machine readable format.
The projects include airborne, ground-based and ocean measurements, social science surveys, satellite data use, modelling studies and value-added product development. Therefore, the BAOBAB data portal enables to access a great amount and a large variety of data: - 250 local observation datasets, that have been collected by operational networks since 1850, long term monitoring research networks and intensive scientific campaigns; - 1350 outputs of a socio-economics questionnaire; - 60 operational satellite products and several research products; - 10 output sets of meteorological and ocean operational models and 15 of research simulations. Data documentation complies with metadata international standards, and data are delivered into standard formats. The data request interface takes full advantage of the database relational structure and enables users to elaborate multicriteria requests (period, area, property…).
The African Development Bank Group (AfDB) is committed to supporting statistical development in Africa as a sound basis for designing and managing effective development policies for reducing poverty on the continent. Reliable and timely data is critical to setting goals and targets as well as evaluating project impact. Reliable data constitutes the single most convincing way of getting the people involved in what their leaders and institutions are doing. It also helps them to get involved in the development process, thus giving them a sense of ownership of the entire development process. The AfDB has a large team of researchers who focus on the production of statistical data on economic and social situations. The data produced by the institution’s statistics department constitutes the background information in the Bank’s flagship development publications. Besides its own publication, the AfDB also finances studies in collaboration with its partners. The Statistics Department aims to stand as the primary source of relevant, reliable and timely data on African development processes, starting with the data generated from its current management of the Africa component of the International Comparison Program (ICP-Africa). The Department discharges its responsibilities through two divisions: The Economic and Social Statistics Division (ESTA1); The Statistical Capacity Building Division (ESTA2)
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Freely explore the City of Surrey's datasets via their Open Data website. Data.surrey.ca provides one-stop access to the City of Surrey’s searchable open data and open information, together with open dialogue, as part of Surrey’s commitment to enhance transparency and accountability. We encourage the participation of all citizens to make data.surrey.ca better.
The Registry of Open Data on AWS provides a centralized repository of public data sets that can be seamlessly integrated into AWS cloud-based applications. AWS is hosting the public data sets at no charge to their users. Anyone can access these data sets from their Amazon Elastic Compute Cloud (Amazon EC2) instances and start computing on the data within minutes. Users can also leverage the entire AWS ecosystem and easily collaborate with other AWS users.
ScholarSphere is an institutional repository managed by Penn State University Libraries. Anyone with a Penn State Access ID can deposit materials relating to the University’s teaching, learning, and research mission to ScholarSphere. All types of scholarly materials, including publications, instructional materials, creative works, and research data are accepted. ScholarSphere supports Penn State’s commitment to open access and open science. Researchers at Penn State can use ScholarSphere to satisfy open access and data availability requirements from funding agencies and publishers.
The focus of PolMine is on texts published by public institutions in Germany. Corpora of parliamentary protocols are at the heart of the project: Parliamentary proceedings are available for long stretches of time, cover a broad set of public policies and are in the public domain, making them a valuable text resource for political science. The project develops repositories of textual data in a sustainable fashion to suit the research needs of political science. Concerning data, the focus is on converting text issued by public institutions into a sustainable digital format (TEI/XML).
OpenML is an open ecosystem for machine learning. By organizing all resources and results online, research becomes more efficient, useful and fun. OpenML is a platform to share detailed experimental results with the community at large and organize them for future reuse. Moreover, it will be directly integrated in today’s most popular data mining tools (for now: R, KNIME, RapidMiner and WEKA). Such an easy and free exchange of experiments has tremendous potential to speed up machine learning research, to engender larger, more detailed studies and to offer accurate advice to practitioners. Finally, it will also be a valuable resource for education in machine learning and data mining.
Data.gov increases the ability of the public to easily find, download, and use datasets that are generated and held by the Federal Government. Data.gov provides descriptions of the Federal datasets (metadata), information about how to access the datasets, and tools that leverage government datasets
BBMRI-ERIC is a European research infrastructure for biobanking. We bring together all the main players from the biobanking field – researchers, biobankers, industry, and patients – to boost biomedical research. To that end, we offer quality management services, support with ethical, legal and societal issues, and a number of online tools and software solutions. Ultimately, our goal is to make new treatments possible. The Directory is a tool to share aggregate information about the biobanks that are willing external collaboration. It is based on the MIABIS 2.0 standard, which describes the samples and data in the biobanks at an aggregated level.