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This study contains data about mapping prevalence, incidence, and severity of MLN in northern Tanzania.

\r\n\r\n

About the project

\r\n

Project title: Integrated Approaches to Manage Maize Lethal Necrosis (MLN) Disease in Tanzania

\r\n

Project abstract

\r\n

Mapping prevalence, incidence and severity of MLN in northern Tanzania .

\r\n

Project website: http://africa-rising.net

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IFPRI DATAVERSE TERMS OF USE

\r\nBy using this website and any of the materials made available through it, you agree to abide by the Terms of Use of IFPRI Dataverse. The datasets and documents in this study are licensed under Creative Commons Attribution 4.0 International License.
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IMPORTANT: If you are interested in accessing restricted datasets, kindly fill out this data user agreement form.
\r\nDo not request access through individual datasets as those requests are not being monitored.
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\r\n
\r\nAfrica Research in Sustainable Intensification for the Next Generation (Africa RISING): As part of the US government’s Feed the Future initiative to address global hunger and food security issues in Africa south of the Sahara, the US Agency for International Development (USAID) is supporting three multi-stakeholder agricultural research projects to sustainably intensify key African farming systems. The overall aim is to transform agricultural systems through sustainable intensification projects in West Africa and East and Southern Africa, led by the International Institute of Tropical Agriculture (IITA) and in Ethiopian Highlands, led by the International Livestock Research Institute (ILRI). The International Food Policy Research Institute leads the program’s monitoring, evaluation and impact assessment.","schema:isPartOf":{"schema:name":"IFPRI Dataverse","@id":"https://dataverse.harvard.edu/dataverse/IFPRI","schema:description":"

The International Food Policy Research Institute (IFPRI) views the products of its research, including\nresearch datasets, as global public goods, and is committed to enabling their widespread distribution\nand use.

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This is in keeping with the IFPRI Research Data\nManagement and Open Access (RDMOA) Policy and the CGIAR Open Access and Data Management\nPolicy.

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The IFPRI Dataverse comprises datasets collected during the course of IFPRI research. These datasets include tables in various standard formats, survey instruments, codebooks, metadata, and other associated documentation. The Terms of Use require proper attribution of these datasets to IFPRI and any named authors.

\n\n

Please direct questions about IFPRI datasets to IFPRI-Data or IFPRI-Library. For information on the latest resources and news on research data management, please visit IFPRI’s Research Data website.

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Share, archive, and get credit for your data. Find and cite data across all research fields.

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