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Found 13 result(s)
The Site Survey Data Bank (SSDB) is a repository for site survey data submitted in support of International Ocean Discovery Program (IODP) proposals and expeditions. SSDB serves different roles for different sets of users.
The UBIRA eData repository is a multidisciplinary online service for the registration, preservation and publication of research datasets produced or collected at the University of Birmingham. It is part of the University of Birmingham Research Archive (UBIRA).
The Brown Digital Repository (BDR) is a place to gather, index, store, preserve, and make available digital assets produced via the scholarly, instructional, research, and administrative activities at Brown.
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Built on the Islandora digital repository framework, the UPEI hosted Published and Archived Data (data.upei.ca) service provides researchers with a place to securely publish or archive their research datasets.
The POES satellite system offers the advantage of daily global coverage, by making nearly polar orbits 14 times per day approximately 520 miles above the surface of the Earth. The Earth's rotation allows the satellite to see a different view with each orbit, and each satellite provides two complete views of weather around the world each day. NOAA partners with the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT) to constantly operate two polar-orbiting satellites – one POES and one European polar-orbiting satellite called Metop. NOAA's Polar Orbiting Environmental Satellites (POES) carry a suite of instruments that measure the flux of energetic ions and electrons at the altitude of the satellite. This environment varies as a result of solar and geomagnetic activity. Beginning with the NOAA-15 satellite, an upgraded version of the Space Environment Monitor (SEM-2) has been flown.
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CCCma has developed a number of climate models. These are used to study climate change and variability, and to understand the various processes which govern the climate system. They are also used to make quantitative projections of future long-term climate change (given various greenhouse gas and aerosol forcing scenarios), and increasingly to make initialized climate predictions on time scales ranging from seasons to decades. A brief description of these models and their corresponding references can be found: https://www.canada.ca/en/environment-climate-change/services/climate-change/science-research-data/modeling-projections-analysis/centre-modelling-analysis/models.html
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sciencedata.dk is a research data store provided by DTU, the Danish Technical University, specifically aimed at researchers and scientists at Danish academic institutions. The service is intended for working with and sharing active research data as well as for safekeeping of large datasets. The data can be accessed and manipulated via a web interface, synchronization clients, file transfer clients or the command line. The service is built on and with open-source software from the ground up: FreeBSD, ZFS, Apache, PHP, ownCloud/Nextcloud. DTU is actively engaged in community efforts on developing research-specific functionality for data stores. Our servers are attached directly to the 10-Gigabit backbone of "Forskningsnettet" (the National Research and Education Network of Denmark) - implying that up and download speed from Danish academic institutions is in principle comparable to those of an external USB hard drive. Data store for research data allowing private sharing and sharing via links / persistent URLs.
RUresearch Data Portal is a subset of RUcore (Rutgers University Community Repository), provides a platform for Rutgers researchers to share their research data and supplementary resources with the global scholarly community. This data portal leverages all the capabilities of RUcore with additional tools and services specific to research data. It provides data in different clusters (research-genre) with excellent search facility; such as experimental data, multivariate data, discrete data, continuous data, time series data, etc. However it facilitates individual research portals that include the Video Mosaic Collaborative (VMC), an NSF-funded collection of mathematics education videos for Teaching and Research. Its' mission is to maintain the significant intellectual property of Rutgers University; thereby intended to provide open access and the greatest possible impact for digital data collections in a responsible manner to promote research and learning.
Chapman University Digital Commons is an open access digital repository and publication platform designed to collect, store, index, and provide access to the scholarly and creative output of Chapman University faculty, students, staff, and affiliates. In it are faculty research papers and books, data sets, outstanding student work, audiovisual materials, images, special collections, and more, all created by members of or owned by Chapman University. The datasets are listed in a separate collection.
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Institutional research data repository of Riga Technical University (RTU). The aim is to collect and store scientific research data and other relevant information in all fields of knowledge of RTU, enabling free, easy and convenient access to it.
The goal of NGEE–Arctic is to reduce uncertainty in projections of future climate by developing and validating a model representation of permafrost ecosystems and incorporating that representation into Earth system models. The new modeling capabilities will improve our confidence in model projections and will enable scientist to better respond to questions about processes and interactions now and in the future. It also will allow them to better communicate important results concerning climate change to decision makers and the general public. And let's not forget about summer in the Antarctic, which happens during our winter months.