The CAC Program Dataverse has been developed as part of the Regional Program for Sustainable Agricultural Development in Central Asia and the Caucasus, hosted and coordinated by ICARDA. The Program aims at reducing poverty and hunger, improving human health and nutrition, and enhance ecosystem resilience through high-quality international research, partnership and leadership in Central Asia (Kazakhstan, Kyrgyz Republic, Tajikistan, Turkmenistan and Uzbekistan) and the Caucasus (Armenia, Azerbaijan and Georgia).

You may copy, distribute and transmit the data as long as you acknowledge the source through proper citation as shown below. You may not resale or use the data for any commercial purposes except with written permission from the respective Center member of the Program and the author(s) concerned.

By using the CAC Program Dataverse, the user expressly acknowledges that the data may contain some nonconformities, defects, or errors. No warranty is given that the data will meet the user's needs or expectations or that all nonconformities, defects, or errors can or will be corrected. The user should always verify actual data.

Citation Requirements

In accordance with scientific standards, all users of these data should make appropriate acknowledgement to the producer of the data as well as the distributor using bibliographic citation. Such citations will appear in footnotes or in the reference section of any such manuscript. The citation should use the citation standard documented in http://thedata.org/citation and as shown on the "Data Citation" section of the cataloguing information page for each dataverse study.

The Program Facilitation Unit (PFU), tasked by the Program Steering Committee to maintain the CAC Program Dataverse, requests a copy of any material produced based on the data. This includes position papers, scientific reports, and graduate papers in addition to publications. All users of the data should use the related publications as a baseline for their analysis whenever possible. Doing so will be an added safeguard against misinterpretation of the data. Related publications are listed in the cataloguing information.

Disclaimer

While utmost care has been taken by the PFU and data authors when collecting and compiling the data, the data is however offered "as is" with no express or implied warranty. In no event shall the data authors, the Centers members of the Program or the PFU be liable for any actual, incidental or consequential damages arising from use of the data.