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81 to 90 of 113 Results
Mainsurvey.dta
May 12, 2025 - Replication Data for: Consumer acceptance of foods derived from blended wheat flour in Nairobi, Kenya
Stata Binary - 15.0 MB - MD5: 69bf2c3cd22125657372380c3b69fe70
2018 CIMMYT-SARO Regional Trials Results and Products Announcement (with appendices).pdf
2018 CIMMYT-SARO Regional Trials Results and Products Announcement (with appendices).pdf
May 5, 2025 - 2018 CIMMYT Product Announcement and Results of the Maize Regional On-Station Trials for Southern Africa for 2018
Adobe PDF - 729.0 KB - MD5: dbad1f32d2b579179d342fb559b2bcd6
CIMMYT Eastern Africa 2025 Maize Product Announcement.pdf
Apr 30, 2025 - 2025 CIMMYT Maize Eastern Africa Product Announcement
Adobe PDF - 3.5 MB - MD5: 1280c2e6e4b83b6e07cb8df40c9d1bbf
Results of the CIMMYT Eastern Africa Maize Regional On-Station (2023 Stage 4) and On-Farm (2024 Stage 5) Trials
C56IBWSN Y 20-21 (Antaris)(QData+NIR).csv
Apr 16, 2025 - T10SLRE: A novel ensemble learning approach for rapid and non-destructive prediction of bread loaf volume in wheat using NIR spectroscopy
Comma Separated Values - 13.4 MB - MD5: ed165eb61d21b2298e7d1c751c50690a
DataQuality data
C57IBWSN Y 21-22 (Antaris)(QData+NIR).csv
Apr 16, 2025 - T10SLRE: A novel ensemble learning approach for rapid and non-destructive prediction of bread loaf volume in wheat using NIR spectroscopy
Comma Separated Values - 9.9 MB - MD5: 92d7b9c707baadcce38048d9de9dbf80
DataQuality data
C58IBWSN Y 22-23 (Antaris)(Hoja1).csv
Apr 16, 2025 - T10SLRE: A novel ensemble learning approach for rapid and non-destructive prediction of bread loaf volume in wheat using NIR spectroscopy
Comma Separated Values - 11.6 MB - MD5: aa1ec2dce516be5a84de9ca315cce7c3
DataQuality data
CBBW5IR (C57IBWSN) Y 21-22 Antaris(QData+NIR).csv
Apr 16, 2025 - T10SLRE: A novel ensemble learning approach for rapid and non-destructive prediction of bread loaf volume in wheat using NIR spectroscopy
Comma Separated Values - 951.7 KB - MD5: 35fcda3f2f6ab86b5e1286b5b1230303
CBBW(C56IBWSN) Y.csv
Apr 16, 2025 - T10SLRE: A novel ensemble learning approach for rapid and non-destructive prediction of bread loaf volume in wheat using NIR spectroscopy
Comma Separated Values - 2.3 MB - MD5: 77a98142e8b7f88c5ad9bc9a9c934c6c
DataQuality data
CBBW(EYTBWB2IR) Y 21-22 Antaris(QData+NIR).csv
Apr 16, 2025 - T10SLRE: A novel ensemble learning approach for rapid and non-destructive prediction of bread loaf volume in wheat using NIR spectroscopy
Comma Separated Values - 2.8 MB - MD5: 60d49f11dc734d9d08f2f60d043a8abe
DataQuality data
CBBW(EYTBWB5IR) Y 20-21 Antaris(QData+NIR).csv
Apr 16, 2025 - T10SLRE: A novel ensemble learning approach for rapid and non-destructive prediction of bread loaf volume in wheat using NIR spectroscopy
Comma Separated Values - 2.3 MB - MD5: 4c671d63749aa081240fc08c2eb3912e
DataQuality data
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