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Found 37 result(s)

AfDB Statistical Data Portal

formerly: Open data for Africa

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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)

DataBC

British Columbia Data Catalogue

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The B.C. Data Catalogue provides the easiest access to government's data holdings, as well as applications and web services. Thousands of the datasets discoverable in the Catalogue are available under the Open Government License - British Columbia.

South African Data Archive

SADA

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<<<!!!<<< 2020-08-28; the repository is no longer available >>>!!!>>> The South African Data Archive promotes and facilitates the sharing of research data and related documentation of computerised raw quantitative data of large scale regional, national and international research projects mainly in the humanities and social sciences. It makes these datasets available to the research community for further analysis, comparative studies, longitudinal studies, teaching and decision-making purposes.

Portal de Datos Abiertos UNAM, Colecciones Universitarias

UNAM Open Data Portal

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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.

CSIRO Data Access Portal

CSIRO DAP

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The CSIRO Data Access Portal provides access to data published by CSIRO across a range of disciplines to facilitate sharing and reuse of data held by CSIRO.

Swedish National Data Service

SND

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Swedish National Data Service (SND) is a research data infrastructure designed to assist researchers in preserving, maintaining, and disseminating research data in a secure and sustainable manner. The SND Search function makes it easy to find, use, and cite research data from a variety of scientific disciplines. Together with an extensive network of almost 40 Swedish higher education institutions and other research organisations, SND works for increased access to research data, nationally as well as internationally.

ICRISAT Dataverse

International Crops Research Institute for the Semi-Arid Tropics Dataverse Network

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ICRISAT performs crop improvement research, using conventional as well as methods derived from biotechnology, on the following crops: Chickpea, Pigeonpea, Groundnut, Pearl millet,Sorghum and Small millets. ICRISAT's data repository collects, preserves and facilitates access to the datasets produced by ICRISAT researchers to all users who are interested in. Data includes Phenotypic, Genotypic, Social Science, and Spatial data, Soil and Weather.

brainlife

brainlife.io

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Brainlife promotes engagement and education in reproducible neuroscience. We do this by providing an online platform where users can publish code (Apps), Data, and make it "alive" by integragrate various HPC and cloud computing resources to run those Apps. Brainlife also provide mechanisms to publish all research assets associated with a scientific project (data and analyses) embedded in a cloud computing environment and referenced by a single digital-object-identifier (DOI). The platform is unique because of its focus on supporting scientific reproducibility beyond open code and open data, by providing fundamental smart mechanisms for what we refer to as “Open Services.”

Open Science Framework

OSF

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The Open Science Framework (OSF) is part network of research materials, part version control system, and part collaboration software. The purpose of the software is to support the scientist's workflow and help increase the alignment between scientific values and scientific practices. Document and archive studies. Move the organization and management of study materials from the desktop into the cloud. Labs can organize, share, and archive study materials among team members. Web-based project management reduces the likelihood of losing study materials due to computer malfunction, changing personnel, or just forgetting where you put the damn thing. Share and find materials. With a click, make study materials public so that other researchers can find, use and cite them. Find materials by other researchers to avoid reinventing something that already exists. Detail individual contribution. Assign citable, contributor credit to any research material - tools, analysis scripts, methods, measures, data. Increase transparency. Make as much of the scientific workflow public as desired - as it is developed or after publication of reports. Find public projects here. Registration. Registering materials can certify what was done in advance of data analysis, or confirm the exact state of the project at important points of the lifecycle such as manuscript submission or at the onset of data collection. Discover public registrations here. Manage scientific workflow. A structured, flexible system can provide efficiency gain to workflow and clarity to project objectives, as pictured.

DRYAD

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Dryad is an open data publishing platform and a community committed to the open availability and routine re-use of all research data. We publish data in any format and any discipline. All Dryad data undergoes a curation process and is published under a CC0 waiver to promote reuse.

Brain Analysis Library of Spatial maps and Atlases

BALSA

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Brain Analysis Library of Spatial maps and Atlases (BALSA) is a database for hosting and sharing neuroimaging and neuroanatomical datasets for human and primate species. BALSA houses curated, user-created Study datasets, extensively analyzed neuroimaging data associated with published figures and Reference datasets mapped to brain atlas surfaces and volumes in human and nonhuman primates as a general resource (e.g., published cortical parcellations).

ETH Data Archive

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ETH Data Archive is ETH Zurich's long-term preservation solution for digital information such as research data, digitised content, archival records, or images. It serves as the backbone of data curation and for most of its content, it is a “dark archive” without public access. In this capacity, the ETH Data Archive also archives the content of ETH Zurich’s Research Collection which is the primary repository for members of the university and the first point of contact for publication of data at ETH Zurich. All data that was produced in the context of research at the ETH Zurich, can be published and archived in the Research Collection. An automated connection to the ETH Data Archive in the background ensures the medium to long-term preservation of all publications and research data. Direct access to the ETH Data Archive is intended only for customers who need to deposit software source code within the framework of ETH transfer Software Registration. Open Source code packages and other content from legacy workflows can be accessed via ETH Library @ swisscovery (https://library.ethz.ch/en/).

International Aid Transparency Initiative

IATI

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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

openLandscapes

The Knowledge Collection for Landscape Science

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<<<!!!<<< This repository is no longer available. 2018-10-15: no more access to OpenLandscapes >>>!!!>>>

Open Data Ottawa

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This website is a source of data released by the City of Ottawa for free use by the public.

Edmonton Open Data

City of Edmonton Open Data

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This data, from across the city's departments and branches is freely available here in a single place - the Open Data Portal.

City of Regina Open Data

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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.

City of Winnipeg Open Data Portal

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Free access to open data and information from the City of Winnipeg.

CU Scholar

University of Colorado Boulder's institutional repository

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CU Scholar is an open access institutional repository supporting the research and teaching mission of the University of Colorado Boulder. It is intended to serve as a platform for preserving the research activities of members of the CU Boulder community and for providing public access to that research. CU Scholar is maintained by the University Libraries.

DataDOI

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DataDOI is an institutional research data repository managed by University of Tartu Library. DataDOI gathers all fields of research data and stands for encouraging open science and FAIR (Findable, Accessible, Interoperable, Reusable) principles. DataDOI is made for long-term preservation of research data. Each dataset is given a DOI (Digital Object Identifier) through DataCite Estonia Concortium.

Data.gov

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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

Common Cold Project Data Sets

Carnegie Mellon University Digital Collections

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The Common Cold Project began in 2011 with the aim of creating, documenting, and archiving a database that combines final research data from 5 prospective viral-challenge studies that were conducted over the preceding 25 years: the British Cold Study (BCS); the three Pittsburgh Cold Studies (PCS1, PCS2, and PCS3); and the Pittsburgh Mind-Body Center Cold Study (PMBC). These unique studies assessed predictor (and hypothesized mediating) variables in healthy adults aged 18 to 55 years, experimentally exposed them to a virus that causes the common cold, and then monitored them for development of infection and signs and symptoms of illness.

Gulf of Mexico Research Initiative Information and Data Cooperative

GRIIDC

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The Gulf of Mexico Research Initiative Information and Data Cooperative (GRIIDC) is a team of researchers, data specialists and computer system developers who are supporting the development of a data management system to store scientific data generated by Gulf of Mexico researchers. The Master Research Agreement between BP and the Gulf of Mexico Alliance that established the Gulf of Mexico Research Initiative (GoMRI) included provisions that all data collected or generated through the agreement must be made available to the public. The Gulf of Mexico Research Initiative Information and Data Cooperative (GRIIDC) is the vehicle through which GoMRI is fulfilling this requirement. The mission of GRIIDC is to ensure a data and information legacy that promotes continual scientific discovery and public awareness of the Gulf of Mexico Ecosystem.

BAOBAB

Base Afrique de l'Ouest Beyond AMMA Base

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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…).

OpenML

Open Machine Learning

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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.