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Found 22 result(s)
With the Program EnviDat we develop a unified and managed access portal for WSL's rich reservoir of environmental monitoring and research data. EnviDat is designed as a portal to publish, connect and search across existing data but is not intended to become a large data centre hosting original data. While sharing of data is centrally facilitated, data management remains decentralised and the know-how and responsibility to curate research data remains with the original data providers.
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The UNAM opens the door to share millions of open data for the benefit of education and research. With this portal (www.datosabiertos.unam.mx) the university shares records of digital collections, academic research projects, repositories and publications to generate new knowledge. This way, it works as an online access point to search university collections authorized for their use, reuse and free redistribution by anyone, without copyright restrictions, patents or other control mechanisms, as long as the Terms of Free Use for UNAM Open Data are respected. The UNAM Open Data Portal contains data, digital objects and geospatial layers of biological collections, artistic work, music, veterinary medicine, university projects, among others. It allows databases to be consulted and downloaded in open and structured formats. One of the most outstanding collections is the National Herbarium of Mexico (MEXU), with almost two million records and high resolution images of plants around the world, mainly collected in Mexico. MEXU is the largest herbarium in the country and in Latin America; it’s among one of the ten most active herbariums in the world.
!!! <<< the repository is offline >>> !!! The CBIF provides primary data on biological species of interest to Canadians. CBIF supports a wide range of social and economic decisions including efforts to conserve our biodiversity in healthy ecosystems, use our biological resources in sustainable ways, and monitor and control pests and diseases. Tools provided by the CBIF include the Integrated Taxonomic Information System (ITIS), Species Access Network, Online Mapping, and the SpeciesBank, including Butterflies of Canada. The CBIF is a member of the Global Biodiversity Information Facility (GBIF).
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The "Flora of Bavaria" initiative with its data portal (14 million occurrence data) and Wiki representation is primarily a citizen science project. Efforts to describe and monitor the flora of Bavaria have been ongoing for 100 years. The goal of these efforts is to record all vascular plants, including newcomers, and to document threatened or former local occurrences. Being geographically largest state of Germany with a broad range of habitats, Bavaria has a special responsibility for documenting and maintaining its plant diversity . About 85% of all German vascular plant species occur in Bavaria, and in addition it has about 50 endemic taxa, only known from Bavaria (most of them occur in the Alps). The Wiki is collaboration of volunteers and local and regional Bavarian botanical societies. Everybody is welcome to contribute, especially with photos or reports of local changes in the flora. The Flora of Bavaria project is providing access to a research data repository for occurrence data powered by the Diversity Workbench database framework.
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"IndExs" is a database comprising information on exsiccatae (=exsiccatal series) with titles, abbreviations, bibliography and provides a unique and persistent Exsiccata ID for each series. Exsiccatae are defined as "published, uniform, numbered sets of preserved specimens distributed with printed labels" (Pfister 1985). Please note that there are two similar latin terms: "exsiccata, ae" is feminine and used for a set of dried specimens as defined above, whereas the term "exsiccatum, i" is neutral and used for dried specimens in general. If available, images of one or more examplary labels are added to give layout information.
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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.
The Maize Genetics and Genomics Database focuses on collecting data related to the crop plant and model organism Zea mays. The project's goals are to synthesize, display, and provide access to maize genomics and genetics data, prioritizing mutant and phenotype data and tools, structural and genetic map sets, and gene models. MaizeGDB also aims to make the Maize Newsletter available, and provide support services to the community of maize researchers. MaizeGDB is working with the Schnable lab, the Panzea project, The Genome Reference Consortium, and iPlant Collaborative to create a plan for archiving, dessiminating, visualizing, and analyzing diversity data. MMaizeGDB is short for Maize Genetics/Genomics Database. It is a USDA/ARS funded project to integrate the data found in MaizeDB and ZmDB into a single schema, develop an effective interface to access this data, and develop additional tools to make data analysis easier. Our goal in the long term is a true next-generation online maize database.aize genetics and genomics database.
ICRISAT performs crop improvement research, using conventional as well as methods derived from biotechnology, on the following crops: Chickpea, Pigeonpea, Groundnut, Pearl millet,Sorghum and Small millets. ICRISAT's data repository collects, preserves and facilitates access to the datasets produced by ICRISAT researchers to all users who are interested in. Data includes Phenotypic, Genotypic, Social Science, and Spatial data, Soil and Weather.
TreeGenes is a genomic, phenotypic, and environmental data resource for forest tree species. The TreeGenes database and Dendrome project provide custom informatics tools to manage the flood of information.The database contains several curated modules that support the storage of data and provide the foundation for web-based searches and visualization tools. GMOD GUI tools such as CMAP for genetic maps and GBrowse for genome and transcriptome assemblies are implemented here. A sample tracking system, known as the Forest Tree Genetic Stock Center, sits at the forefront of most large-scale projects. Barcode identifiers assigned to the trees during sample collection are maintained in the database to identify an individual through DNA extraction, resequencing, genotyping and phenotyping. DiversiTree, a user-friendly desktop-style interface, queries the TreeGenes database and is designed for bulk retrieval of resequencing data. CartograTree combines geo-referenced individuals with relevant ecological and trait databases in a user-friendly map-based interface. ---- The Conifer Genome Network (CGN) is a virtual nexus for researchers working in conifer genomics. The CGN web site is maintained by the Dendrome Project at the University of California, Davis.
SoyBase is a professionally curated repository for genetics, genomics and related data resources for soybean. It contains current genetic, physical and genomic sequence maps integrated with qualitative and quantitative traits. SoyBase includes annotated "Williams 82" genomic sequence and associated data mining tools. The repository maintains controlled vocabularies for soybean growth, development, and traits that are linked to more general plant ontologies.
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The IPK stores a large volume of research results and information in various databases. The Institute of Plant Genetics and Crop Plant Research IPK Gatersleben, is a nonprofit research institution for crop genetics and molecular biology, and is part of the Leibniz Association. The mission of the IPK Gatersleben is to conduct basic and applied research in the area of plant genetics and crop plant research. The results of this work are not only of significant benefit to plant breeders and the agricultural industry, but also to the food, feed, and chemical industry. An additional research area, the use of renewable raw materials, is increasingly gaining in importance.
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China’s digital forestry information platform was constructed according to the criteria and index system of forest sustainable management. the relative social, economic, and politic data was considered and collected, the database represents not only the current forestry development, but also the social, politic, and economic situations.
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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.
PeanutBase is a peanut community resource providing genetic, genomic, gene function, and germplasm data to support peanut breeding and molecular research. This includes molecular markers, genetic maps, QTL data, genome assemblies, germplasm records, and traits. Data is curated from literature and submitted directly by researchers. Funding for PeanutBase is provided by the Peanut Foundation with in-kind contributions from the USDA-ARS.
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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).
The aim of the Freshwater Biodiversity Data Portal is to integrate and provide open and free access to freshwater biodiversity data from all possible sources. To this end, we offer tools and support for scientists interested in documenting/advertising their dataset in the metadatabase, in submitting or publishing their primary biodiversity data (i.e. species occurrence records) or having their dataset linked to the Freshwater Biodiversity Data Portal. This information portal serves as a data discovery tool, and allows scientists and managers to complement, integrate, and analyse distribution data to elucidate patterns in freshwater biodiversity. The Freshwater Biodiversity Data Portal was initiated under the EU FP7 BioFresh project and continued through the Freshwater Information Platform (http://www.freshwaterplatform.eu). To ensure the broad availability of biodiversity data and integration in the global GBIF index, we strongly encourages scientists to submit any primary biodiversity data published in a scientific paper to national nodes of GBIF or to thematic initiatives such as the Freshwater Biodiversity Data Portal.
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!!! <<< this record is no longer maintained, please use https://www.re3data.org/repository/r3d100011876 or https://www.re3data.org/repository/r3d100011647 >>> !!!: e!DAL stands for electronic Data Archive Library. It is a lightweight open source software software framework for publishing and sharing research data. e!DAL was developed based on experiences coming from decades of research data management and has grown towards being a general data archiving and publication infrastructure [https://doi.org/10.1186/1471-2105-15-214]. First research data repository is "Plant Genomics and Phenomics Research Data Repository" [https://doi.org/10.1093/database/baw033].
Ag Data Commons provides access to a wide variety of open data relevant to agricultural research. We are a centralized repository for data already on the web, as well as for new data being published for the first time. While compliance with the U.S. Federal public access and open data directives is important, we aim to surpass them. Our goal is to foster innovative data re-use, integration, and visualization to support bigger, better science and policy.
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The Colombian Biodiversity Information Facility (SiB Colombia) is a national initiative established in early 2000 and coordinated by Instituto Humboldt to facilitate free and open access to biodiversity data. It comprises a network of more than 100 organizations (including universities, biological collections, research institutes, environmental authorities and NGOs among others) that work together to ensure that biodiversity data is available to support further research, education, policy making and incentive measures for the conservation and sustainable use of biodiversity. SiB Colombia’s mission is to facilitate the management of biodiversity data by bringing together users, publishers and data producers to support research, education and decision making related to knowledge, conservation and sustainable use of biodiversity and ecosystem services. SiB Colombia aims to consolidate the collaborative platform that facilitates the generation, use and democratization of knowledge on the biodiversity of Colombia. Thus, SiB Colombia contributes to a vision of a society that knows and values the biodiversity in which it is immersed, and uses such knowledge for its development.