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Found 14 result(s)
The CMU Multi-Modal Activity Database (CMU-MMAC) database contains multimodal measures of the human activity of subjects performing the tasks involved in cooking and food preparation. The CMU-MMAC database was collected in Carnegie Mellon's Motion Capture Lab. A kitchen was built and to date twenty-five subjects have been recorded cooking five different recipes: brownies, pizza, sandwich, salad, and scrambled eggs.
The Migrant Integration Policy Index (MIPEX) is a unique tool that measures policies to integrate migrants in all EU Member States, Australia, Canada, Iceland, Japan, South Korea, New Zealand, Norway, Switzerland, Turkey and the USA. 167 policy indicators have been developed to create a rich, multi-dimensional picture of migrants’ opportunities to participate in society. The index is a useful tool to evaluate and compare what governments are doing to promote the integration of migrants in all the countries analysed.
Country
The Research Data Gouv platform is the French national federated platform for open and shared research data serving the national scientific community. This platform was an integral part of the Second National Plan for Open Science (PNSO) and offers a multidisciplinary data repository, a registry which reports data hosted in other repositories and a web portal. The multidisciplinary repository is a sovereign publishing solution for sharing and opening up data for communities which are yet to set up their own recognised thematic repository.
Country
The Centre conducts real-time data collection on all ongoing and incoming General and Assembly Elections, and diffuses data-driven analysis through print and electronic media. The coverage includes the analysis, contextualization, and visualisation of results and the profiling of main parties candidates. For each election, we assemble a team of field researchers and scholars to complete and expand existing data. Besides the ECI results data, we collect information on the socio-demographic profile of main parties’ candidates and on the sociological profile of constituencies.
A national study on socioeconomics and family health over lifetimes and across generations funded by National Science Foundation (NSF). It is the longest running longitudinal household survey in the world, started in 1968 with a nationally representative sample of over 18,000 individuals living in 5,000 families in the United States. It is recognizing the importance of the socioeconomic data, available on this website without cost to researchers and analysts.
RADAR service offers the ability to search for research data descriptions of the Natural Resources Institute Finland (Luke). The service includes descriptions of research data for agriculture, forestry and food sectors, game management, fisheries and environment. The public web service aims to facilitate discovering subjects of natural resources studies. In addition to Luke's research data descriptions one can search metadata of the Finnish Environment Institute (SYKE). The interface between Luke and SYKE metadata services combines Luke's research data descriptions and SYKE's descriptions of spatial datasets and data systems into a unified search service.
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Country
Edmond is the institutional repository of the Max Planck Society for public research data. It enables Max Planck scientists to create citable scientific assets by describing, enriching, sharing, exposing, linking, publishing and archiving research data of all kinds. Further on, all objects within Edmond have a unique identifier and therefore can be clearly referenced in publications or reused in other contexts.
Country
Koszalin University of Technology is the only technical university in Central Pomerania. It is located in a town of 100 thousand inhabitants, about 10 km from the Baltic Sea. Central Pomerania is a region with well-developed tourism, agriculture, food-processing and electronics industries. Koszalin University of Technology conducts teaching and scientific-research activities in disciplines related primarily to the directions of development of the region. Koszalin University of Technology is authorized to confer doctoral degrees. The doctoral degree is conferred by the Doctoral School operating at Koszalin University of Technology. It educates students on I st and II nd degree studies, in stationary and non-stationary mode. The Repository is to be used for collecting, storing (archiving), presenting (making available) and retrieving information on the scientific and popular scientific achievement of employees, doctoral students and students, as well as on their professional achievements and activities that create the university's output and shaping its image among other scientific institutions in the country and in the world.
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.
Country
DAIS - Digital Archive of the Serbian Academy of Sciences and Arts is a joint digital repository of the Serbian Academy of Sciences and Arts (SASA) and the research institutes under the auspices of SASA. The aim of the repository is to provide open access to publications and other research outputs resulting from the projects implemented by the SASA and its institutes. The repository uses a DSpace-based software platform developed and maintained by the Belgrade University Computer Centre (RCUB).
Country
DataverseNO (https://dataverse.no) is a curated, FAIR-aligned national generic repository for open research data from all academic disciplines. DataverseNO commits to facilitate that published data remain accessible and (re)usable in a long-term perspective. The repository is owned and operated by UiT The Arctic University of Norway. DataverseNO accepts submissions from researchers primarily from Norwegian research institutions. Datasets in DataverseNO are grouped into institutional collections as well as special collections. The technical infrastructure of the repository is based on the open source application Dataverse (https://dataverse.org), which is developed by an international developer and user community led by Harvard University.