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Found 41 result(s)
VegBank is the vegetation plot database of the Ecological Society of America's Panel on Vegetation Classification. VegBank consists of three linked databases that contain the actual plot records, vegetation types recognized in the U.S. National Vegetation Classification and other vegetation types submitted by users, and all plant taxa recognized by ITIS/USDA as well as all other plant taxa recorded in plot records. Vegetation records, community types and plant taxa may be submitted to VegBank and may be subsequently searched, viewed, annotated, revised, interpreted, downloaded, and cited. VegBank receives its data from the VegBank community of users.
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 “SUN - Sustainable Use of Natural Vegetation in West Africa” and “Biodiversity Transect Analysis in Africa” (BIOTA, https://www.biota-africa.org/).
The National Vegetation Survey (NVS) Databank is a physical archive and electronic databank containing records of over 121,000 vegetation survey plots - including data from over 25,000 permanent plots in New Zealand. The data can be explored online and requested for download. The NVS Databank provides data spanning more than 60 years of indigenous and exotic plant plot records from throughout New Zealand's terrestrial ecosystems. The physical archive includes plot sheets, maps, and photographs from many years of vegetation surveys. Purpose-built software for entering, validating and summarising data is available. NVS is accorded the status of a Nationally Significant database and upkeep and maintenance is supported by Core funding for Crown Research Institutes from the NZ Ministry of Business, Innovation and Employment.
Global environmental (climate, vegetation, soils, land degradation, hydrology, land cover) layers representing the land mask. Hosted by the OpenGeoHub foundation OpenLandMap.org is a data portal to the world's environmental data representing land mask (land cover, vegetation, soil, climate, terrain data and similar). OpenLandMap.org is the web-mapping component of the LandGIS (Geographic Information System for land data).
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The open data movement has become an important trend in the space of a few years. Governments, companies and communities integrate open data into their innovation efforts. This project aims to enable others to further utilize Hydro-Quebec data in order to actively contribute to the energy transition.
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Welcome to Conservation Halton's platform for exploring and downloading open data, discovering web maps, and engaging communities to solve important local issues
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PhenoCam is a cooperative network that archives and distributes imagery and derived data products from digital cameras deployed at research sites across North America and around the world.
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Town of Canmore Open Data Catalogue is a publicly available data sharing in ArcGIS Online portal where anyone can access and utilize data relating to the Town of Canmore, Alberta, Canada. You can browse, search, preview, and download a variety of municipal geospatial datasets.
EOS-EarthData provides free, customized Earth Science data. All data are freely available. EOS-WEBSTER has been replaced by EOS-Earthdata. EOS-Earthdata offers much simpler access to data, and does not require you to register or login.
This database is a global archive and describes plant traits from throughout the globe. TRY is a network of vegetation scientists headed by DIVERSITAS, IGBP, iDiv, the Max Planck Institute for Biogeochemistry and an international Advisory Board. About half of the data are geo-referenced, providing a global coverage of more than 8000 measurement sites.
The DCS allows you to search a catalogue of metadata (information describing data) to discover and gain access to NERC's data holdings and information products. The metadata are prepared to a common NERC Metadata Standard and are provided to the catalogue by the NERC Data Centres.
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The research project “Textile Revolution” integrates studies on the introduction and spread of the woolly sheep and wool usage from different scientific fields. Wool production is closely connected to the domesticated sheep and specifically to those animals that carry a woolly coat. With the keeping of woolly sheep, not only did the economy of prehistoric communities change, but also the textile technology, meaning both, the tools and the techniques for thread and textile making.
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.
The Arctic Permafrost Geospatial Centre (APGC) is an Open Access Circum-Arctic Geospatial Data Portal that promotes, describes and visualizes geospatial permafrost data. A data catalogue and a WebGIS application allow to easily discover and view data and metadata. Data can be downloaded directly via link to the publishing data repository.
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The future of tropical forests matter to future climate. NGEE-Tropics is advancing model predictions of tropical forest carbon cycle responses to a changing climate over the 21st Century.
TERN provides open data, research and management tools, data infrastructure and site-based research equipment. The open access ecosystem data is provided by TERN Data Discovery Portal , see https://www.re3data.org/repository/r3d100012013
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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.
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Canadian Urban Environmental Health Research Consortium (CANUE) collates and generates standard measures of environmental factors and provides these data to a wide range of health data organizations who pre-link and distribute them to the Canadian research community. Exposure metrics currently distributed by CANUE include air quality (nitrogen dioxide, sulfur dioxide, ozone, and fine particulate matter concentrations), green and blue spaces (Landsat, MODIS, and AVHRR normalized difference vegetation indices), neighborhood factors (access to employment, material and social deprivation indices, marginalization indices, nighttime light, and active living environments), and weather and climate (weather indicators, local climate zones, and water balance).
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The company RapidEye AG of Brandenburg brought on 29 August 2008 five satellites into orbit that can be aligned within a day to any point on Earth. The data are interesting for a number of large and small companies for applications from harvest planning to assessment of insurance claims case of natural disasters. Via the Rapid Eye Science Archive (RESA) science users can receive, free of charge, optical image data of the RapidEye satellite fleet. Imagery is allocated based on a proposal to be submitted via the RESA Portal which will be evaluated by independent experts.
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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/ddm/publicsearch/index).
The Tropospheric Ozone Assessment Report (TOAR) database of global surface observations is the world's most extensive collection of surface ozone measurements and includes also data on other air pollutants and on weather for some regions. Measurements from 1970 to 2019 (Version 1) have been collected in a relational database, and are made available via a graphical web interface, a REST service (https://toar-data.fz-juelich.de/api/v1) and as aggregated products on PANGAEA (https://doi.pangaea.de/10.1594/PANGAEA.876108). Measurements from 1970 to present (Version 2) are being collected in a relational database, and are made available via a REST service (https://toar-data.fz-juelich.de/api/v2).
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The National Biodiversity Information System (SNIB) of Mexico by the National Commission for the Knowledge and Use of Biodiversity (CONABIO). The SNIB is of strategic importance in a megadiversity country like Mexico, making it clear to CONABIO from the beginning that the SNIB should rely on the work of the multiplicity of institutions and national and foreign experts that for years have been dedicated to the study of biodiversity of Mexico. The creation of this system was expressed as a mandate for CONABIO in the General Law of Ecological Balance and Environmental Protection (LGEEPA Art. 80 fraction V). The participation of specialists in the generation of data and information for the SNIB is one of the various ways in which they collaborate with this system, since having an information system that allows the country to make informed decisions regarding its biodiversity requires that it be made up of data and information supported by a broad network of experts.
The Environmental Change Network is the UK’s long-term environmental monitoring and research (LTER) programme. We make regular measurements of plant and animal communities and their physical and chemical environment. Our long-term datasets are used to increase understanding of the effects of climate change, air pollution and other environmental pressures on UK ecosystems.