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Found 13 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).
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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CUGIR is an active online repository in the National Spatial Data Clearinghouse program. CUGIR provides geospatial data and metadata for New York State, with special emphasis on those natural features relevant to agriculture, ecology, natural resources, and human-environment interactions. In order to provide the best possible access to geospatial data for New York State, CUGIR coordinates its activities with those of the New York State GIS Clearinghouse
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 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.
The International Center for Tropical Agriculture (CIAT), a member of the CGIAR Consortium, believes that open access contributes to its mission of reducing hunger and poverty, and improving human nutrition in the tropics through research aimed at increasing the eco-efficiency of agriculture. Research data produced by CIAT and its Partners is distributed freely whenever possible. Kindly note that these datasets require proper citation and citation information is included with the metadata for each dataset.
Country
SSHADE is an interoperable Solid Spectroscopy database infrastructure (www.sshade.eu) providing spectral and photometric data obtained by various spectroscopic techniques over the whole electromagnetic spectrum from gamma to radio wavelengths, through X, UV, Vis, IR, and mm ranges. The measured samples include ices, minerals, rocks, organic and carbonaceous materials... and also liquids. They are either synthesized in the laboratory, natural terrestrial analogs collected or measured in the field, or extraterrestrial samples collected on Earth or on planetary bodies: (micro-)meteorites, IDPs, lunar soils... SSHADE contains a set of specialized databases from various research groups, mostly from Europe. It is developed under the H2020 European programs* "Europlanet 2020 RI" and now "Europlanet 2024 RI" with the help of OSUG, CNRS/INSU, IPAG, and CNES. It is hosted by the OSUG data center / Université Grenoble Alpes, France. It can also be searched through the Virtual European Solar and Planetary Access (VESPA) virtual observatory.
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<<<!!!<<< The repository is no longer available 2020-02-21: no more access to "Environment Climate Data Sweden" >>>!!!<<< The transfer of records from the Environment Climate Data Sweden (ECDS) database to the Swedish National Dataservice (SND) https://www.re3data.org/repository/r3d100010146 was completed in 2019. SND is a national research infrastructure with a primary function to support the accessibility, preservation, and re-use of research data and related materials. You can search the SND research data portal specifically for Natural Science or Agricultural and Veterinary Sciences datasets. Data descriptions with associated datasets, or a direct reference/URL to data, have been migrated from the ECDS portal to the SND research data portal. Previous links to these data are now automatically directed to an SND catalogue entry. Records in the ECDS catalogue that only contained metadata (ie information that data could be accessed through another portal, e.g. Pangea), now link directly to the portal in question. If you want to make one of those data descriptions searchable in SND’s catalogue, please contact SND on snd@snd.gu.se. A small number of records were neither migrated to SND nor redirected to external providers, and they redirect. Contact SND on snd@snd.gu.se if you want more information about the closing of the ECDS portal and the migration of data descriptions to SND’s research data catalogue.
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The TERN Data Discovery Portal (TDDP) is a gateway to search and access all the datasets published by the Australian Terrestrial Ecosystem Research Network. In the TERN data discovery portal, users can conduct textual and graphical searches on the metadata catalogue using a web interface with temporal, spatial, and eco science related controlled vocabulary keywords. Requests to download data discovered through different data services associated with TERN. Downloading, using and sharing data will be subjected to the TERN data licensing framework (https://www.tern.org.au/datalicence/).
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SAFER-Data is a web-based interface to the Environmental Data Archive maintained by the Environmental Research Centre (ERC) in the Environmental Protection Agency (EPA) of Ireland, who has responsibilities for a wide range of licensing, enforcement, monitoring and assessment activities associated with environmental protection.
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RES³T is a digitized version of a thermodynamic sorption database as required for the parametrization of Surface Complexation Models (SCM). It is mineral-specific and can therefore also be used for additive models of more complex solid phases such as rocks or soils. A user interface helps to access selected mineral and sorption data, to convert parameter units, to extract internally consistent data sets for sorption modeling. Data records comprise of mineral properties, specific surface area values, characteristics of surface binding sites and their protolysis, sorption ligand information, and surface complexation reactions
The GTN-P database is an object-related database open for a diverse range of data. Because of the complexity of the PAGE21 project, data provided in the GTN-P management system are extremely diverse, ranging from active-layer thickness measurements once per year to flux measurement every second and everthing else in between. The data can be assigned to two broad categories: Quantitative data which is all data that can be measured numerically. Quantitative data comprise all in situ measurements, i.e. permafrost temperatures and active layer thickness (mechanical probing, frost/thaw tubes, soil temperature profiles). Qualitative data (knowledge products) are observations not based on measurements, such as observations on soils, vegetation, relief, etc.
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.