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Found 97 result(s)
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.
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OpenAgrar is an open access repository which publishes, stores, archives and distributes publications, publication references and research data. Its resources can be searched and used by everyone. It contains amongst others theses, reports, conference proceedings, journal articles, books, institutional documents, research datasets, videos and interviews.
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This is Haldimand County's public platform for exploring and downloading open data, discovering and building apps, and engaging to solve important local issues. You can analyze and combine Open Datasets using maps, as well as develop new web and mobile applications.
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The open government portal is a collection of datasets and publications by government departments and agencies. The public can use and access this data freely to learn more about how government works, carry out research or build web apps. The portal functions as both a library for current publications and as an archive for old publications which have historic value.
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ZB MED's Repository for Life Sciences offers authors the chance to publish their scientific texts and research data from the fields of medicine, health, nutritional, environmental and agricultural sciences. In accordance with the principles of Open Access, these publications can be accessed over the Internet without restrictions. There is no charge to publish, archive or use the documents.
In 1984 the establishment of the Vitis International Variety Catalogue (VIVC) took place at the Institute for Grapevine Breeding Geilweilerhof. The concept of a database on grapevine genetic resources was supported by IBPGR (today called Bioversity) and the International Organisation of Vine and Wine (OIV). Today VIVC is an encyclopedic database with around 23000 cultivars, breeding lines and Vitis species, existing in grapevine repositories and/or described in bibliography. It is an information source for breeders, researchers, curators of germplasm repositories and interested wine enthusiasts. Besides cultivar specific passport data, SSR-marker data, comprehensive bibliography and photos are to be found.
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The Canine Inherited Disorders Database (CIDD) is a joint initiative of the Sir James Dunn Animal Welfare Centre at the Atlantic Veterinary College, University of Prince Edward Island, and the Canadian Veterinary Medical Association. The goals of the database are to reduce the incidence of inherited disorders in dogs by providing information to owners and breeders, and to facilitate the best management possible of these conditions by providing current information to veterinarians.
The NSF-supported Program serves the international scientific community through research, infrastructure, data, and models. We focus on how components of the Critical Zone interact, shape Earth's surface, and support life. ARCHIVED CONTENT: In December 2020, the CZO program was succeeded by the Critical Zone Collaborative Network (CZ Net) https://criticalzone.org/
The Agricultural and Environmental Data Archive (AEDA) is the direct result of a project managed by the Freshwater Biological Association in partnership with the Centre for e-Research at King's College London, and funded by the Department for the Environment, Food & Rural Affairs (Defra). This project ran from January 2011 until December 2014 and was called the DTC Archive Project, because it was initially related to the Demonstration Test Catchments Platform developed by Defra. The archive was also designed to hold data from the GHG R&D Platform (www.ghgplatform.org.uk). After the DTC Archive Project was completed the finished archive was renamed as AEDA to reflect it's broader remit to archive data from any and all agricultural and environmental research activities.
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National Genomic Resources Repository is established as an institutional framework for methodical and centralized efforts to collect, generate, conserve and distribute genomic resources for agricultural research.
The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK).
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Genome resource samples of wild animals, particularly those of endangered mammalian and avian species, are very difficult to collect. In Korea, many of these animals such as tigers, leopards, bears, wolves, foxes, gorals, and river otters, are either already extinct, long before the Korean biologists had the opportunity to study them, or are near extinction. Therefore, proposal for a systematic collection and preservation of genetic samples of these precious animals was adopted by Korea Science & Engineering Foundation (KOSEF). As an outcome, Conservation Genome Resource Bank for Korean Wildlife (CGRB; www.cgrb.org) was established in 2002 at the College of Veterinary Medicine, Seoul National University as one of the Special Research Materials Bank supported by the Scientific and Research Infrastructure Building Program of KOSEF. CGRB operates in collaboration with Seoul Grand Park Zoo managed by Seoul Metropolitan Government, and has offices and laboratories at both Seoul National University and Seoul Grand Park, where duplicate samples are maintained, thereby assuring a long-term, safe preservation of the samples. Thus, CGRB is the first example of the collaborative scientific infrastructure program between university and zoo in Korea.
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It is a platform (designed and developed by the National Informatics Centre (NIC), Government of India) for supporting Open Data initiative of Surat Municipal Corporation, intended to publish government datasets for public use. The portal has been created under Software as A Service (SaaS) model of Open Government Data (OGD) Platform, thus gives avenues for resuing datasets of the City in different perspective. This Portal has numerious modules; (a) Data Management System (DMS) for contributing data catalogs by various departments for making those available on the front end website after a due approval process through a defined workflow; (b) Content Management System (CMS) for managing and updating various functionalities and content types of Open Government Data Portal of Surat City; (c) Visitor Relationship Management (VRM) for collating and disseminating viewer feedback on various data catalogs; and (d) Communities module for community users to interact and share their zeal and views with others, who share common interests as that of theirs.
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Harmonia universalis is a prosopographical database gathering data on the actors of the mesmerist movement at the end of the 18th century. The Harmonia Universalis database is designed as a space for exchange and sharing between researchers and enthusiasts. Any interested person can participate in its realization by contacting the administrators of the database. They will then be able to enter directly on line the information they wish to introduce. These will be integrated into the database after confirmation by the administrators.
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The National Microbial Resource Center (NMRC) is an important part of the national science and technology resources sharing service platform, responsible for the research, conservation, management and sharing of national microbial strain resources, ensuring the strategic security and sustainable use of microbial strain resources, and providing support for scientific and technological innovation, industrial development and social progress. The main tasks of the NMRC are: to collect, organize and preserve microbial strain resources around national needs and scientific research; to undertake the task of remitting, organizing and preserving strain resources resulting from the implementation of science and technology projects; to be responsible for the development and improvement of microbial strain resource standards, and to standardize and guide the development of microbial strain resources in various fields. The company is responsible for the development and improvement of microbial strain resource standards, standardizing and guiding the protection and utilization of microbial strain resources in various fields; building and maintaining the national strain resource online service system, and carrying out social sharing of physical and information resources of strains; developing key common technologies, creating new resources, and carrying out customized services according to innovative needs; carrying out scientific popularization for the society; carrying out international exchange and cooperation on strain resources, participating in relevant international academic organizations, and safeguarding national interests and Security
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The Forest Climate Change Data Catalogue is a collection of data sets that are relevant to the Canadian forest sector under a changing climate. Created by Canadian Forest Service scientists, these data sets include static maps, raw data, and interactive maps that cover all of Canada. Data themes include drought, fire, climate and tree distribution; multiple climate scenarios are projected to the year 2100. The data sets will be periodically updated as new information becomes available.
A planetary-scale platform for Earth science data & analysis. Google Earth Engine combines a multi-petabyte catalog of satellite imagery and geospatial datasets with planetary-scale analysis capabilities. Scientists, researchers, and developers use Earth Engine to detect changes, map trends, and quantify differences on the Earth's surface.
eCommons is a service of the Cornell University Library that provides long-term access to a broad range of Cornell-related digital content of enduring value. eCommons accepts both educational and research-oriented content, including pre- and post-publication papers, datasets, technical reports, theses and dissertations, books, lectures, presentations and more.
<<<!!!<<< All user content from this site has been deleted. Visit SeedMeLab (https://seedmelab.org/) project as a new option for data hosting. >>>!!!>>> SeedMe is a result of a decade of onerous experience in preparing and sharing visualization results from supercomputing simulations with many researchers at different geographic locations using different operating systems. It’s been a labor–intensive process, unsupported by useful tools and procedures for sharing information. SeedMe provides a secure and easy-to-use functionality for efficiently and conveniently sharing results that aims to create transformative impact across many scientific domains.
AgBase is a curated, open-source, Web-accessible resource for functional analysis of agricultural plant and animal gene products. Our long-term goal is to serve the needs of the agricultural research communities by facilitating post-genome biology for agriculture researchers and for those researchers primarily using agricultural species as biomedical models.
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The project brings together national key players providing environmentally related biological data and services to develop the ‘German Federation for Biological Data' (GFBio). The overall goal is to provide a sustainable, service oriented, national data infrastructure facilitating data sharing and stimulating data intensive science in the fields of biological and environmental research.