Free, open access repository of research data produced as part of the Cereal Systems Initiative for South Asia (CSISA) project.
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MS Excel Spreadsheet - 13.7 KB - MD5: a987228d182255a07340fa4ce8773782
Dataset related information
Adobe PDF - 241.4 KB - MD5: 0755cb661b3cd0729434e862a58e992f
Details of survey questions
Adobe PDF - 940.8 KB - MD5: 51909fc22f853301ed6dc4e6bfc92a58
Survey deployment guide
PNG Image - 874.3 KB - MD5: 1ca3755e7ca15e61ff17c3064641e816
Coverage of survey shown at Indian map
MS Excel Spreadsheet - 17.8 KB - MD5: 71dcf8b3973576990fb4649924385231
Definition of variables recorded in the survey
Mar 22, 2022
Sherpa Sonam; Poonia Shishpal; Kumar Sunil; Sharma Sachin; Ajay Anurag; Wu William; Singh Balwinder; McDonald Andrew, 2022, "Soil wet chemistry data and mid-infrared spectra collected from rice-wheat farmers’ fields in Bihar, India", https://hdl.handle.net/11529/10548646, CIMMYT Research Data & Software Repository Network, V1
The Soil Intelligence System (SIS-India) mid-IR (MIR) dataset contains MIR spectra and wet chemistry measurements (pH, EC, OC, N, P, K, S, B, Zn, Cu, Mn, Fe) for 3182 soil samples collected from randomly selected rice-wheat farmer fields spread uniformly within a KVK (government...
Comma Separated Values - 101.9 MB - MD5: e91f9a5f69137d974b60e0c4a63c06f1
Markdown Text - 3.7 KB - MD5: 37fd5cc3c0bd441846c4a81ac8c2762f
Comma Separated Values - 106.8 KB - MD5: 689a39e7c2738fa2df9d16de3dbed27e
Distribution of sample over the years for each district and their geo-location
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