CIMMYT institutional network of scientific datasets and software repositories.
Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

4,771 to 4,780 of 13,434 Results
MS Excel Spreadsheet - 70.9 KB - MD5: e9f7a26101b1eae3aff38e704e0be0ca
Mar 25, 2022 - CIMMYT Research Data
Singh, Ravi Gopal, 2022, "Grasspea yield data: winter cycle 2016", https://hdl.handle.net/11529/10548650, CIMMYT Research Data & Software Repository Network, V1
A trial, International Grasspea Yield Trial-Low B-ODAP was conducted to screen grasspea lines in B-3 plot of El Batan Station. The trial included twenty four selections from promising materials and was compared with Vetch as check. The objective of this trial was selection of a l...
MS Excel Spreadsheet - 38.4 KB - MD5: de35f00cf77be81a6b554fded98e8531
Mar 22, 2022 - Cereal Systems Initiative for South Asia (CSISA) Research Data
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
Adobe PDF - 431.3 KB - MD5: e63745afdd3f81eac5aff8889b0983db
Describes the methods of doing sample analysis
Adobe PDF - 54.5 KB - MD5: f8d325705d64c2e38e40c548b6e7aeb2
Describes the methods of collecting soil samples
Comma Separated Values - 329.5 KB - MD5: de1a548ce323030e245c1c8d7932d564
Values of soil wet chemistry measurements
Add Data

Sign up or log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.