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Found 23 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.
Country
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.
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BExIS is the online data repository and information system of the Biodiversity Exploratories Project (BE). The BE is a German network of biodiversity related working groups from areas such as vegetation and soil science, zoology and forestry. Up to three years after data acquisition, the data use is restricted to members of the BE. Thereafter, the data is usually public available (https://www.bexis.uni-jena.de/PublicData/PublicDataDefault.aspx).
ForestPlots.net is a web-accessible secure repository for forest plot inventories in South America, Africa and Asia. The database includes plot geographical information; location, taxonomic information and diameter measurements of trees inside each plot; and participants in plot establishment and re-measurement, including principal investigators, field assistants, students.
This is a database for vegetation data from West Africa, i.e. phytosociological and dendrometric relevés as well as floristic inventories. The West African Vegetation Database has been developed in the framework of the projects “Sustainable Use of Natural Vegetation in West Africa” (SUN, http://www.sunproject.dk/) and “Biodiversity Transect Analysis in Africa” (BIOTA, http://www.biota-africa.org/).
This interface provides access to several types of data related to the Chesapeake Bay. Bay Program databases can be queried based upon user-defined inputs such as geographic region and date range. Each query results in a downloadable, tab- or comma-delimited text file that can be imported to any program (e.g., SAS, Excel, Access) for further analysis. Comments regarding the interface are encouraged. Questions in reference to the data should be addressed to the contact provided on subsequent pages.
Content type(s)
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.
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
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The Ontario Natural Heritage Information Centre (NHIC) compiles, maintains and provides information on rare, threatened and endangered species and spaces in Ontario. This information is stored in a central repository composed of computerized databases, map files and an information library, which are accessible for conservation applications, land use development planning, park management, etc. Ministry of Natural Resources, Ontario.
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RESPECT aims to unveil for the mountain rain forest in South Ecuador how major ecosystem functions, (i) ecosystem biomass production, and (ii) water fluxes, are affected by ongoing and future environmental changes through alterations in response and effect traits of relevant biota. The research question is addressed with two approaches: (i) A newest generation Land Surface Model (LSM) and (ii) a statistical response–effect framework (REF). By including (i) specific Plant Functional Types (PFTs) for the megadiverse biodiversity hotspot, (ii) introducing trait diversity, (iii) new modules for tree hydraulics and (iv) new modules of focal biological processes (seed dispersal and PFT establishment, herbivory) we will conduct a biodiversification of LSMs.
The Landcare Research DataStore ('the DataStore') is the general data catalogue and repository for Environmental Research Data from Landcare Research. Much of Landcare Research’s research data is available through specific web pages, but many datasets sit outside these areas. This new data repository provides a mechanism for our staff to deposit and document this wider range of datasets so that they may be discovered and potentially re-used.
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The Pig Expression Data Explorer (PEDE) database system stores full-length cDNA libraries of swine data accesible via keyword and ID searches. Data is publically available, and may specifically interest genetic researchers interested in disease sucsceptibly, and major and minor porcine specific antigens.
Country
The Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) and the German Plant Phenotyping Network (DPPN) has jointly initiated the Plant Genomics and Phenomics Research Data Repository (PGP) as infrastructure to comprehensively publish plant research data [https://dx.doi.org/10.1093/database/baw033]. This covers in particular these cross-domain data sets that are not being published in central repositories because of its huge volume, unsupported data domain or scope, like image collections from plant phenotyping and microscopy, unassembled sequences, genotyping data, visualizations of complex morphological plant models, movies plant 3-D models, raw data from mass spectrometry, software, and documents. Accepted data is published as citable DOIs and core set of technical metadata is registered at DataCite. The used e!DAL-embedded Web frontend generates for each data set a landing page and supports an interactive exploration of available datasets. This long-term stable access to plant genomic and phenomic primary data records across domains and laboratories in one repository can empower researchers to reproduce already published analysis results as well as performing subsequent, advanced studies.
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.
The British Columbia Conservation Data Centre (CDC) collects and disseminates information on plants, animals and ecosystems at risk in British Columbia. The " BC Species and Ecosystems Explorer" is a source for authoritative conservation information on approximately 7400 plants and animals, and over 600 ecological communities (ecosystems)in British Columbia. Information includes conservation status, legal designation, and ecosection values for ecological communities.
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The vision of the JaLTER is to provide scientific knowledge which contributes to conservation, advancement and sustainability of environment, ecosystem services, productivity and biodiversity for a society by conducting long-term and interdisciplinary research in ecological science including human dimensions. The JaLTER is closely linked with the International Long-Term Ecological Research Network (ILTER Network).
The CGIAR Research Program No. 6 (CRP6): Forests, Trees and Agroforestry: Livelihoods, Landscapes and Governance aims to enhance the management and use of forests, agroforestry and tree genetic resources across the landscape, from farms to forests.
The IFRI research network examines how governance arrangements affect forests and the people who depend on them. It is comprised of 14 Collaborating Research Centers located around the globe. Researchers use a common data collection method to ensure that sites can be compared across space and time. The IFRI database contains information about biodiversity, livelihoods, institutions, and forest carbon for over 250 sites in 15 countries between 1992 and the present.