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Found 12 result(s)
WorldClim is a set of global climate layers (climate grids) with a spatial resolution of about 1 square kilometer. The data can be used for mapping and spatial modeling in a GIS or with other computer programs.
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Since the first discovery of RNA pseudoknots more and many more pseudoknots have been found. However, not all of those pseudoknot data are easy to trace. Sometimes the information is hidden in a publication where the title gives no hint that pseudoknot information is there. This was the first reason that we thought that a general accessible information source for pseudoknots would be handy.
SACA&D is developed as part of the Digitisasi Data Historis (Didah) project. This project is focusing on the digitization and use of high-resolution historical climate data from Indonesia and other Southeast Asian countries
***<<<!!!>>> *** Stated 2017-08-28: To accommodate a wider scope of ophthalmic data, we launched our new Rotterdam Ophthalmic Data Repository. Please visit http://www.rodrep.com/ for all data sets. *** The ORGIDS site will no longer be updated! ***<<<!!!>>>***Through this portal, we will make data sets available that result from our glaucoma research. This includes visual fields, various imaging modalities and other data from both glaucomatous and normal subjects.The data was acquired during more than a decade.
Presented is information on changes in weather and climate extremes, as well as the daily dataset needed to monitor and analyse these extremes. map of participating countries. Today, ECA&D is receiving data from 59 participants for 62 countries and the ECA dataset contains 33265 series of observations for 12 elements at 7512 meteorological stations throughout Europe and the Mediterranean (see Daily data > Data dictionary). 51% of these series is public, which means downloadable from this website for non-commercial research. Participation to ECA&D is open to anyone maintaining daily station data
MycoBank is an on-line database aimed as a service to the mycological and scientific society by documenting mycological nomenclatural novelties (new names and combinations) and associated data, for example descriptions and illustrations. The nomenclatural novelties will each be allocated a unique MycoBank number that can be cited in the publication where the nomenclatural novelty is introduced. These numbers will also be used by the nomenclatural database Index Fungorum, with which MycoBank is associated.
<<<!!!<<< stated 26-02-2020: Amsterdam Cohort Studies on HIV infection and AIDS is no longer available online >>>!!!>>> The Amsterdam cohort study (ACS) on human immunodeficiency virus (HIV) infection and AIDS among homosexual men started in 1984 and was expanded to include drug users in 1985. Thus far, about 2100 homosexual men and 1630 (injecting) drug users have been included of whom approximately 700 homosexual men and 550 drug users are still in active follow-up. Every 3-6 months participants complete a standardized questionnaire to obtain medical, epidemiological and social scientific information and undergo a medical examination. In addition, they have blood drawn for virological and immunological tests and storage.
The Rotterdam Ophthalmic Data Repository (ROD-Rep) contains data sets related to ophthalmology that the Rotterdam Ophthalmic Institute has made freely available for researchers worldwide. This portal is an initiative of the Rotterdam Ophthalmic Institute, which is the research institute of the Rotterdam Eye Hospital. It provides the datasets from ophthalmic research (includes measurements such as visual fields and various imaging modalities, grades, etc.) for sharing and re-use to accelerate multi-disciplinary research, resulting in better ophthalmic care. The portal is the successor of the ORGIDS (or Open Rotterdam Glaucoma Imaging Data Sets site); which was an initiative of Koen Vermeer, Hans Lemij and Netty Dorrestijn and initial financial support was provided by Stichting Glaucoomfonds (The Netherlands).
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.