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Found 215 result(s)
ISRIC - World Soil Information is an independent foundation. As regular member of the ICS World Data System it is also known as World Data Centre for Soils (WDC-Soils). ISRIC was founded in 1966 through the International Soil Science Society (ISSS) and United Nations Educational, Scientific and Cultural Organization (UNESCO), with a mission to "help to increase the availability and use of soil data, information and knowledge to enable better decision making for sustainable land management around the world". Our work is organised according to four work streams: 1) Global soil information & standards, 2) Community of practice for soil information providers, 3) Products and services to support SLM (sustainable land management) decision making, and 4) Awareness, education and dialogues. data.isric.org is our central location for searching and downloading soil data bases/maps from around the world. We support Open Data whenever possible, respecting inherited rights (licenses).
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.
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National ecosystem data bank (EcoDB) is a public professional scientific data repository supported by the National Ecosystem Science Data Center (NESDC) for researchers in ecology and related fields, which provides long-term preservation, publication, sharing and access services of scientific data. EcoDB provides services for both individual researchers and scientific journals. Individuals can use this repository to store, manage and publish scientific data, get feedback from others on the data, and discover scientific data shared by others through this repository. Journals can use the repository to gather, manage and review the supporting data of submitted paper. At the same time, journals can timely publish these supporting data according to their own data policies.
Content type(s)
LIAS is a global information system for Lichenized and Non-Lichenized Ascomycetes. It includes several interoperable data repositories. In recent years, the two core components ‘LIAS names’ and ‘LIAS light’ have been much enlarged. LIAS light is storing phenotypic trait data. They includes > 10,700 descriptions (about 2/3 of all known lichen species), each with up to 75 descriptors comprising 2,000 traits (descriptor states and values), including 800 secondary metabolites. 500 traits may have biological functions and more than 1,000 may have phylogenetic relevance. LIAS is thus one of the most comprehensive trait databases in organismal biology. The online interactive identification key for more than 10,700 lichens is powered by the Java applet NaviKey and has been translated into 19 languages (besides English) in cooperation with lichenologists worldwide. The component ‘LIAS names’ is a platform for managing taxonomic names and classifications with currently >50,000 names, including the c. 12,000 accepted species and recognized synonyms. The LIAS portal contents, interfaces, and databases run on servers of the IT Center of the Bavarian Natural History Collections and are maintained there. 'LIAS names' and ‘LIAS light’ also deliver content data to the Catalogue of Life, acting as the Global Species Database (GSD) for lichens. LIAS gtm is a database for visualising the geographic distribution of lichen traits. LIAS is powered by the Diversity Workbench database framework with several interfaces for data management and publication. The LIAS long-term project was initiated in the early 1990s and has since been continued with funding from the DFG, the BMBF, and the EU.
The NCEAS Data Repository contains information about the research data sets collected and collated as part of NCEAS' funded activities. Information in the NCEAS Data Repository is concurrently available through the Knowledge Network for Biocomplexity (KNB), an international data repository. A number of the data sets were synthesized from multiple data sources that originated from the efforts of many contributors, while others originated from a single. Datasets can be found at KNB repository https://knb.ecoinformatics.org/data , creator=NCEAS
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 Open Science and Data Platform provides access to science, data, publications and information about development activities across the country that can be used to understand the cumulative effects of human activities to support better decisions in the future.
ETH Data Archive is ETH Zurich's long-term preservation solution for digital information such as research data, digitised content, archival records, or images. It serves as the backbone of data curation and for most of its content, it is a “dark archive” without public access. In this capacity, the ETH Data Archive also archives the content of ETH Zurich’s Research Collection which is the primary repository for members of the university and the first point of contact for publication of data at ETH Zurich. All data that was produced in the context of research at the ETH Zurich, can be published and archived in the Research Collection. An automated connection to the ETH Data Archive in the background ensures the medium to long-term preservation of all publications and research data. Direct access to the ETH Data Archive is intended only for customers who need to deposit software source code within the framework of ETH transfer Software Registration. Open Source code packages and other content from legacy workflows can be accessed via ETH Library @ swisscovery (https://library.ethz.ch/en/).
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<<<!!!<<< As stated 2017-11-23 the database is not available anymore >>>!!!>>> ACEpepDB is a database ran by the Central Food Technological Research Institute. It contains records of about 865 peptides. Each record provides information on the food source, preparation, purification and any other additional information. Each record includes the reference(s). The database provides a search and browsing option for a more personalized research experience.
EUMETSAT's primary objective is to establish, maintain and exploit European systems of operational meteorological satellites. EUMETSAT is responsible for the launch and operation of the satellites and for delivering satellite data to end-users as well as contributing to the operational monitoring of climate and the detection of global climate changes. The EUMETSAT Product Navigator is the catalogue for all EUMETSAT data and products.
The KNB Data Repository is an international repository intended to facilitate ecological, environmental and earth science research in the broadest senses. For scientists, the KNB Data Repository is an efficient way to share, discover, access and interpret complex ecological, environmental, earth science, and sociological data and the software used to create and manage those data. Due to rich contextual information provided with data in the KNB, scientists are able to integrate and analyze data with less effort. The data originate from a highly-distributed set of field stations, laboratories, research sites, and individual researchers. The KNB supports rich, detailed metadata to promote data discovery as well as automated and manual integration of data into new projects. The KNB supports a rich set of modern repository services, including the ability to assign Digital Object Identifiers (DOIs) so data sets can be confidently referenced in any publication, the ability to track the versions of datasets as they evolve through time, and metadata to establish the provenance relationships between source and derived data.
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In the framework of the Collaborative Research Centre/Transregio 32 ‘Patterns in Soil-Vegetation-Atmosphere Systems: Monitoring, Modelling, and Data Assimilation’ (CRC/TR32, www.tr32.de), funded by the German Research Foundation from 2007 to 2018, a RDM system was self-designed and implemented. The so-called CRC/TR32 project database (TR32DB, www.tr32db.de) is operating online since early 2008. The TR32DB handles all data including metadata, which are created by the involved project participants from several institutions (e.g. Universities of Cologne, Bonn, Aachen, and the Research Centre Jülich) and research fields (e.g. soil and plant sciences, hydrology, geography, geophysics, meteorology, remote sensing). The data is resulting from several field measurement campaigns, meteorological monitoring, remote sensing, laboratory studies and modelling approaches. Furthermore, outcomes of the scientists such as publications, conference contributions, PhD reports and corresponding images are collected in the TR32DB.
The Andrews Forest is a place of inquiry. Our mission is to support research on forests, streams, and watersheds, and to foster strong collaboration among ecosystem science, education, natural resource management, and the humanities. Our place and our work are administered cooperatively by the USDA Forest Service's Pacific Northwest Research Station, Oregon State University, and the Willamette National Forest. First established in 1948 as an US Forest Service Experimental Forest, the H.J. Andrews is a 16,000-acre ecological research site in Oregon's beautiful western Cascades Mountains. The landscape is home to iconic Pacific Northwest old-growth forests of Cedar and Hemlock, and moss-draped ancient Douglas Firs; steep terrain; and fast, cold-running streams. In 1980 the Andrews became a charter member of the National Science Foundation's Long-Term Ecological Research (LTER) Program.
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Biodiversity Maps provides access to high quality information on Ireland's biological diversity. Use the system to find out what is known about the different species that occur in Ireland, where our protected and threatened species occur, and who is recoding biodiversity. Also find out what is known about the biodiversity of your locality. The National Biodiversity Data Centre endeavours to provide high quality information through this data portal.
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!!! <<< the repository is offline >>> !!! The Canadian Poisonous Plants Information System presents data on plants that cause poisoning in livestock, pets, and humans. The plants include native, introduced, and cultivated outdoor plants as well as indoor plants that are found in Canada. Some food and herbal plants that may cause potential poisoning problems are also included.
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EMS is the BC Ministry of Environment's primary monitoring data repository. The system was designed to capture data covering physical/chemical and biological analyses performed on water, air, solid waste discharges and ambient monitoring sites throughout the province. It also contains related quality assurance data. Samples are collected by either ministry staff or permittees under the Environmental Management Act and then analyzed in public or private sector laboratories. The majority of such monitoring data is entered into EMS electronically via Electronic Data Transfer (EDT). EMS data is typically available in formatted hard copy reports or electronically in comma delimited (e.g., .csv) files as: Monitoring location-related data, Sample and results-related data. Direct access to EMS is restricted to ministry staff, however public access is available upon request through EMS Web Reporting.
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The Large Fire Database (LFDB) is a compilation of forest fire data from all Canadian agencies, including provinces, territories, and Parks Canada. The data set includes only fires greater than 200 hectares in final size; these represent only a few percent of all fires but account for most of the area burned (usually more than 97%). Therefore, the LFDB can be used for spatial and temporal analyses of landscape-scale fire impacts. For information on smaller fires (up to 200 ha in final size), please contact individual fire agencies. Links to other agencies can be found through the Canadian Interagency Forest Fire Centre (CIFFC).
Ag-Analytics is an online open source database of various economic and environmental data. It automates the collection, formatting, and processing of several different commonly used datasets, such as the National Agricultural Statistics Service (NASS), the Agricultural Marketing Service (AMS), Risk Management agency (RMA), the PRISM weather database, and the U.S. Commodity Futures Trading Commission (CFTC). All the data have been cleaned and well-documented to save users the inconvenience of scraping and cleaning the data themselves.
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Open Government Data Portal of Sikkim–sikkim.data.gov.in - is a platform for supporting Open Data initiative of Government of Sikkim. The portal is intended to be used by Departments/Organizations of Government of Sikkim to publish datasets, documents, services, tools and applications collected by them for public use. It intends to increase transparency in the functioning of the state Government and also open avenues for many more innovative uses of Government Data to give different perspective. Open Government Data Portal of Sikkim is designed and developed by the Open Government Data Division of National Informatics Centre (NIC), Department of Electronics and Information Technology (DeitY), Government of India. The portal has been created under Software as A Service (SaaS) model of Open Government Data (OGD) Platform India of NIC. The data available in the portal are owned by various Departments/Organization of Government of Sikkim. Open Government Data Portal of Sikkim has following modules: Data Management System (DMS) – Module for contributing data catalogs by various state government agencies for making those available on the front end website after a due approval process through a defined workflow. Content Management System (CMS) – Module for managing and updating various functionalities and content types of Open Government Data Portal of Sikkim. Visitor Relationship Management (VRM) – Module for collating and disseminating viewer feedback on various data catalogs. Communities – Module for community users to interact and share their zeal and views with others, who share common interests as that of theirs.