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The Dataverse portal of the International Center for Agricultural Research in Dry Ares (ICARDA) has been set up with the aim of making Findable, Accessible, Interoperable and Reusable (F.A.I.R.) the knowledge produced in research for development frameworks, joined by the Center and its partners. The portal is supported by the CGIAR Research Program on LIVESTOCK, the CGIAR Platform for BIGDATA in Agriculture, and is powered by CODEOBIA and hosted by Amazon Web Services (AWS). 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 authoring institution(s) and the author(s) concerned. By using the ICARDA 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.

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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. ICARDA 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.

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3,681 to 3,690 of 3,891 Results
Sep 30, 2019 - Takhwsh Sub Watershed
Unknown - 145 B - MD5: c742bee3d4edfc2948a2ad08de1790a5
Sep 30, 2019 - Takhwsh Sub Watershed
Unknown - 132 B - MD5: 9b6736e682ee0487da69c822bf351054
Sep 30, 2019 - Takhwsh Sub Watershed
Unknown - 52.4 KB - MD5: ddf46842f2066a931054d9515d686841
Sep 30, 2019 - Takhwsh Sub Watershed
Unknown - 252 B - MD5: b5aff8d32342991ba64218bc7f921a0c
Sep 30, 2019 - Balkh Watershed Aspect
TIFF Image - 40.8 MB - MD5: fdd656b024ec0624b25f06606342387f
Sep 30, 2019 - Balkh Watershed Aspect
JPEG Image - 8.0 MB - MD5: 54180000d159065ac120692d47a711ec
Sep 30, 2019 - Balkh Watershed Slope
TIFF Image - 40.3 MB - MD5: 4b8874906e9d5063e771b5fb5322f21a
Sep 30, 2019 - Balkh Watershed Slope
JPEG Image - 4.7 MB - MD5: 01358a2bc5d6bd72f419b20adf128d45
Sep 30, 2019 - Takhwsh Watershed Aspect
JPEG Image - 5.8 MB - MD5: f21fd01e21ccac52d9aae94620e61762
Sep 30, 2019 - Takhwsh Watershed Aspect
TIFF Image - 197.5 KB - MD5: 24c2b4e5a743c25dabdedd82ad0f8ff5
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