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

1,791 to 1,800 of 13,427 Results
Malawi Maize Performance.xlsx
Jan 17, 2025 - Replication Data for: Understanding the interactions of genotype with environment and management (G×E×M) to maize productivity in conservation agriculture systems of Malawi
MS Excel Spreadsheet - 901.2 KB - MD5: 41b1865261daee68a0ea7908601720e6
The database contains data on maize production across various districts in Malawi, focusing on the interactions among maize varieties, management practices, and environmental conditions. The included variables enable a comprehensive analysis of crop performance and the effectiven...
National-scale wheat area dataset of Ethiopia for the 2020/21 rainfed cropping seasons
Jan 14, 2025 - CIMMYT Research Data
Blasch, Gerald; Lesne, Louise; Wolter, Jolan; Alemayehu, Yoseph; Bontemps, Sophie; Hodson, David; Defourny, Pierre, 2025, "National-scale wheat area dataset of Ethiopia for the 2020/21 rainfed cropping seasons", https://hdl.handle.net/11529/10549175, CIMMYT Research Data & Software Repository Network, V1
The national-scale wheat area dataset of Ethiopia for the 2020/21 rainfed cropping seasons shows the spatial distribution and density of rainfed wheat at 10 m spatial resolution for the 2020 Belg and 2020/21 Meher seasons at the national scale. The binary dataset depicts whether...
Ethiopia_wheat_area_rainfed_2020.tif
Jan 14, 2025 - National-scale wheat area dataset of Ethiopia for the 2020/21 rainfed cropping seasons
TIFF Image - 314.8 MB - MD5: e16ff1da32e29ab2b0ee044dc65a05ce
Data on performance of machine-led direct seeded rice (DSR) techniques compared to conventional rice transplanting in eastern India
Jan 4, 2025 - Cereal Systems Initiative for South Asia (CSISA) Research Data
Singh, Madhulika; Patra, Subhajit; Ajay, Anurag; Singh, Deepak K; Kumar, Pankaj; Kumar, Anurag; Ignatius, Moben; Ranjan, Harshit; Poonia, Shishpal; Kumar, Ajay; Joon, Rajeev; Kumar, Vipin; Sherpa, Sonam R; Malik, RK; Kumar, Virender; Laing, Alison; McDonald, Andrew; Craufurd, Peter, 2025, "Data on performance of machine-led direct seeded rice (DSR) techniques compared to conventional rice transplanting in eastern India", https://hdl.handle.net/11529/10549173, CIMMYT Research Data & Software Repository Network, V1
Direct Seeded Rice (DSR) using seed-cum-fertilizer drill is an emerging rice establishment technique in India. How the two versions of DSR (zero-till & dust mulch) are comparable with the most common conventionally transplanted rice is less known. To fill the knowledge gap, CSISA...
CSISA_IND_DSR_Trial_2017-21_Data.xlsx
Jan 4, 2025 - Data on performance of machine-led direct seeded rice (DSR) techniques compared to conventional rice transplanting in eastern India
MS Excel Spreadsheet - 329.4 KB - MD5: c36387699eeee49d09e50ea95c0d6745
Data_Info_Sheet.xlsx
Jan 4, 2025 - Data on performance of machine-led direct seeded rice (DSR) techniques compared to conventional rice transplanting in eastern India
MS Excel Spreadsheet - 13.1 KB - MD5: f1d92593e9c2d3b25787b4104c4599c8
Variable_Details.xlsx
Jan 4, 2025 - Data on performance of machine-led direct seeded rice (DSR) techniques compared to conventional rice transplanting in eastern India
MS Excel Spreadsheet - 11.6 KB - MD5: 122a53c064481302a789d53ff01f7a6b
Farmer field survey dataset underpinning 'Data-driven strategies to improve nitrogen use efficiency of rice farming in South Asia'.
Dec 20, 2024 - Cereal Systems Initiative for South Asia (CSISA) Research Data
Coggins, Sam; Hossain, Md. Khaled; Nayak, Hari Sankar; McDonald, Andrew, J.; Silva, João Vasco; Urfels, Anton; Jat, Mangi Lal; Jat, Hanuman Sahay; Krupnik, Timothy J.; Kumar, Virender; Malik, Ram K.; Sapkota, Tek B.; Nayak, Amaresh Kumar; Craufurd, Peter; Karki, Saral; Ajay, Anurag; Sharma, Sachin; Samaddar, Arindam; Peramaiyan, Panneerselvam; Paudel, Gokul P., 2024, "Farmer field survey dataset underpinning 'Data-driven strategies to improve nitrogen use efficiency of rice farming in South Asia'.", https://hdl.handle.net/11529/10549105, CIMMYT Research Data & Software Repository Network, V3
This database integrates farmer field surveys with secondary environmental data for 45,643 farmer fields that cultivated rice between 2016 and 2021. This dataset integrates original survey datasets that have, or will be, published on the CIMMYT Dataverse. Collectively, the datase...
NUE_survey_dataset_v2.csv
Dec 20, 2024 - Farmer field survey dataset underpinning 'Data-driven strategies to improve nitrogen use efficiency of rice farming in South Asia'.
Comma Separated Values - 31.0 MB - MD5: c7223de8068f16284f3768408f1730a0
2024 CIMMYT Maize Latin America Product Announcement / Anuncio de Productos de Maíz de CIMMYT en Latinoamérica 2024
Dec 19, 2024 - CIMMYT Research Data
San Vicente, Felix; Dhliwayo, Thanda; Chassaigne, Alberto; Palacios-Rojas, Natalia; Zhang, Xuecai; Cruz-Morales, Andrea S.; Leyva, Mayolo; Das, Aparna; Escandon, Debora; Davis, Nicholas; Prasanna, B.M., 2024, "2024 CIMMYT Maize Latin America Product Announcement / Anuncio de Productos de Maíz de CIMMYT en Latinoamérica 2024", https://hdl.handle.net/11529/10549165, CIMMYT Research Data & Software Repository Network, V1
New and improved maize hybrids, developed by the CIMMYT Global Maize Program, are available for uptake by public and private sector partners, especially those interested in marketing or disseminating hybrid maize seed across Latin America and similar agro-ecological zones. Follow...
Add Data

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

Sign Up Log In
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.