This dataset applies the Community Norms of Dataverse, where this dataset is originally deposited. These Community Norms, as well as good scientific practices, expect that proper credit is given via citation. No waiver has been selected for this dataset and it is subject to the relevant licensing agreements.
These data and documents are licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported license. You may copy, distribute and transmit the data as long as you acknowledge the source through proper citation as shown below. You may not resell or use the data for any commercial purposes except with written permission from both ICRAF and the author(s) concerned.
|1.||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.|
|2.||ICRAF requests a copy of any material produced based on the data. This includes position papers, scientific reports, and graduate papers in addition to publications.|
|3.||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.|
Whilst utmost care has been taken by ICRAF and data authors while collecting and compiling the data, the data is however offered “as is” with no express or implied warranty. In no event shall the authors, ICRAF, or relevant funding agencies be liable for any actual, incidental or consequential damages arising from use of the data.
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.
Any of the above conditions can be waived if you get written permission from ICRAF and the author(s) of the data.
There are 2 restricted files in this dataset. This is an ongoing project. Data is restricted to data authors only. Users may request access to files.
Laumonier, Yves; Kharisma, Selly; Khasanah, Ni’matul; Afdholullail, Akhmad Luthfi; Widayati, Atiek; Winowiecki, Leigh; Vagen, Tor-Gunnar, 2016, “Land and Soil Health Assessment in the Borneo-Sumatra Sentinel Landscape”, https://doi.org/10.7910/DVN/9O6DDC, Harvard Dataverse, V3, UNF:6:Zkeor0/AECsxLmSfd33yEQ== [fileUNF].
Please see the individual data files for file-specific citations.