Free, open access repository of research data produced as part of the Cereal Systems Initiative for South Asia (CSISA) project.
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

11 to 20 of 368 Results
Apr 9, 2024
Karki, Saral; Paudel, Gokul; Urfels, Anton; Sapkota, Tek; Krupnik, Timothy J., 2024, "Landscape diagnostic survey data of wheat production practices and yield of 2018, 2019, 2020, 2021 from Nepal's Terai", https://hdl.handle.net/11529/10549036, CIMMYT Research Data & Software Repository Network, V2
The objective of the Landscape Diagnostic Survey (LDS) for wheat is to bridge the existing data-gap around current production practices of wheat, and also to help in evidence-based planning. The LDS is designed in a way that data is collected from randomly selected farmers spread...
Comma Separated Values - 4.1 MB - MD5: 2dd609e0f928d302166a71705e64914c
Nepal wheat LDS dataset for 2018,2019,2020 and 2021 contains samples for Nepal's terai (Sunsari, Saptari, Dhanusha, Bara, Parasi, Rupandehi, Kapilvastu, Dang, Banke, Bardiya, Kailali, Kanchanpur, Nawalparasi, Kapilbastu)
PNG Image - 1.3 MB - MD5: e3a90579d700b2035b02cd00c6389f18
sample distribution of wheat data
Apr 9, 2024
Karki, Saral; Paudel, Gokul; Urfels, Anton; Sapkota, Tek; Krupnik, Timothy J., 2024, "Landscape diagnostic survey data of rice production practices and yield of 2019 and 2020 from Nepal's Terai", https://hdl.handle.net/11529/10549035, CIMMYT Research Data & Software Repository Network, V3
The objective of the Landscape Diagnostic Survey (LDS) for rice is to bridge the existing data-gap around current production practices of rice, and also to help in evidence-based planning. The LDS is designed in a way that data is collected from randomly selected farmers spread u...
HTML - 15.1 MB - MD5: 73ff85e3053f3f8872299e84cf8eee42
HTML output from the R-markdown file
Unknown - 6.1 KB - MD5: 002556d34660263e060e781ae8316ac4
R markdown file run for generating the summary statistics of the dataset
Comma Separated Values - 6.4 MB - MD5: f56021a6375b03f4030e7e0821f5a5b0
Survey data for LDS survey
PNG Image - 1.3 MB - MD5: e3a90579d700b2035b02cd00c6389f18
Survey samples distribution across Nepal Terai
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.