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Found 13 result(s)
The project aims to examine and index the genomic diversity through the generation of complete mitochondrial and nuclear genome sequences of sharks and rays of the Pacific Rim. There is a huge diversity of elasmobranch fishes in this region, but many species are under threat because of poor management and conservation measures in many countries. It is absolutely critical that species’ identities are correct for conservation and fisheries management purposes. This project will provide this clarity of identity for both charismatic and commercially important species through the inclusion of ‘genetypes’ (ie., BioVouchers) and the application of genetic tools that utilize whole mitochondrial and nuclear genome sequences.
This site provides a central location for integrated near real-time or recent data relating to coral reefs, and also provides ecological forecasts (through artificial intelligence technology) as to the occurrence of specified environmental conditions, as prescribed by modelers, oceanographers and marine biologists.
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!!! <<< The repository is offline >>> !!! The portal provides an understanding of energy resources and related data to establish an understanding of the sector in terms of developmental activities and best practices are being carried out in India in the energy sector. Thus it is sharing information on various aspects of energy in a comprehensive manner to a variety of stakeholders to enable effective consolidation and assimilation of knowledge. IEP provides access to energy statistics, case studies, national policies, sectoral overviews.
Web Soil Survey (WSS) provides soil data and information produced by the National Cooperative Soil Survey. It is operated by the USDA Natural Resources Conservation Service (NRCS) and provides access to the largest natural resource information system in the world. NRCS has soil maps and data available online for more than 95 percent of the nation’s counties and anticipates having 100 percent in the near future. The site is updated and maintained online as the single authoritative source of soil survey information.
The BBS is a cooperative effort between the U.S. Geological Survey's Patuxent Wildlife Research Center and Environment Canada's Canadian Wildlife Service to monitor the status and trends of North American bird populations. Following a rigorous protocol, BBS data are collected by thousands of dedicated participants along thousands of randomly established roadside routes throughout the continent. Professional BBS coordinators and data managers work closely with researchers and statisticians to compile and deliver these population data and population trend analyses on more than 400 bird species, for use by conservation managers, scientists, and the general public.
CorrDB has data of cattle, relating to meat production, milk production, growth, health, and others. This database is designed to collect all published livestock genetic/phenotypic trait correlation data, aimed at facilitating genetic network analysis or systems biology studies.
The National Library of Scotland was formally constituted by an Act of Parliament in 1925 and is one of six libraries covered by the UK legal deposit system. The Library is Scotland's national archive for published and other literary heritage materials. One of our primary responsibilities is to safeguard the collections for future generations. Our collections care facility is recognised nationally and internationally as a centre of excellence for the preservation and conservation of library materials. NLS includes "Data Foundry", data collections from the National Library of Scotland.
BIOS is a system designed to enable the management, visualization, and analysis of biogeographic data collected by the California Department of Fish and Wildlife and its partner organizations. BIOS integrates GIS, relational database management, and ESRI's ArcGIS Server technology to create a statewide, integrated information management tool that can be used on any computer with access to the Internet.
Queen's University Dataverse is the institutional open access research data repository for Queen's University, featuring Queen's University Biological Station (QUBS) which includes research related to ecology, evolution, resource management and conservation, GIS, climate data, and environmental science.
Here you will find authoritative taxonomic information on plants, animals, fungi, and microbes of North America and the world.
In keeping with the open data policies of the U.S. Agency for International Development (USAID) and Bill & Melinda Gates Foundation, the Cereal Systems Initiative for South Asia (CSISA) has launched the CSISA Data Repository to ensure public accessibility to key data sets, including crop cut data- directly observed, crop yield estimates, on-station and on-farm research trial data and socioeconomic surveys. CSISA is a science-driven and impact-oriented regional initiative for increasing the productivity of cereal-based cropping systems in Bangladesh, India and Nepal, thus improving food security and farmers’ livelihoods. CSISA generates data that is of value and interest to a diverse audience of researchers, policymakers and the public. CSISA’s data repository is hosted on Dataverse, an open source web application developed at Harvard University to share, preserve, cite, explore and analyze research data. CSISA’s repository contains rich datasets, including on-station trial data from 2009–17 about crop and resource management practices for sustainable future cereal-based cropping systems. Collection of this data occurred during the long-term, on-station research trials conducted at the Indian Council of Agricultural Research – Research Complex for the Eastern Region in Bihar, India. The data include information on agronomic management for the sustainable intensification of cropping systems, mechanization, diversification, futuristic approaches to sustainable intensification, long-term effects of conservation agriculture practices on soil health and the pest spectrum. Additional trial data in the repository includes nutrient omission plot technique trials from Bihar, eastern Uttar Pradesh and Odisha, India, covering 2012–15, which help determine the indigenous nutrient supplying ability of the soil. This data helps develop precision nutrient management approaches that would be most effective in different types of soils. CSISA’s most popular dataset thus far includes crop cut data on maize in Odisha, India and rice in Nepal. Crop cut datasets provide ground-truthed yield estimates, as well as valuable information on relevant agronomic and socioeconomic practices affecting production practices and yield. A variety of research data on wheat systems are also available from Bangladesh and India. Additional crop cut data will also be coming online soon. Cropping system-related data and socioeconomic data are in the repository, some of which are cross-listed with a Dataverse run by the International Food Policy Research Institute. The socioeconomic datasets contain baseline information that is crucial for technology targeting, as well as to assess the adoption and performance of CSISA-supported technologies under smallholder farmers’ constrained conditions, representing the ultimate litmus test of their potential for change at scale. Other highly interesting datasets include farm composition and productive trajectory information, based on a 20-year panel dataset, and numerous wheat crop cut and maize nutrient omission trial data from across Bangladesh.