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841 to 850 of 4,779 Results
IGYT_HB_2024.csv
Apr 18, 2025 - Grass pea stage 2 - IGYT_HB_2024 - ICARDA - India
Comma Separated Values - 4.2 KB - MD5: f2f8fd3e58aa8c5a21b8f8c0cf128ba9
DataDictionary_ElementDescription.csv
Apr 18, 2025 - Grass pea stage 2 - IGYT_E_2024 - ICARDA - India
Comma Separated Values - 1.2 KB - MD5: f12ce0092b0ffbb6f9df7e8f0e52438e
DataDictionary_Introduction.csv
Apr 18, 2025 - Grass pea stage 2 - IGYT_E_2024 - ICARDA - India
Comma Separated Values - 821 B - MD5: 73738d0924ba8c4cb671751d73135f98
DataDictionary_UniqueIdentifier.csv
Apr 18, 2025 - Grass pea stage 2 - IGYT_E_2024 - ICARDA - India
Comma Separated Values - 1002 B - MD5: 5f8f087231a58444f0212c9f09746055
IGYT_E_2024.csv
Apr 18, 2025 - Grass pea stage 2 - IGYT_E_2024 - ICARDA - India
Comma Separated Values - 4.4 KB - MD5: 14c5de3c1f479163f672444558eca472
DataDictionary_ElementDescription.csv
Apr 18, 2025 - Grass pea - GISPN_2024 - ICARDA - India
Comma Separated Values - 1.2 KB - MD5: dfd52ac0825fb68e0af7daa6b1e70402
DataDictionary_Introduction.csv
Apr 18, 2025 - Grass pea - GISPN_2024 - ICARDA - India
Comma Separated Values - 761 B - MD5: f898a29002064b549946b5d17e8d71f7
DataDictionary_UniqueIdentifier.csv
Apr 18, 2025 - Grass pea - GISPN_2024 - ICARDA - India
Comma Separated Values - 920 B - MD5: 1007be0fea8cb5620ced5f0ea2ebfbcf
GISPN_2024.csv
Apr 18, 2025 - Grass pea - GISPN_2024 - ICARDA - India
Comma Separated Values - 1.0 KB - MD5: 142220cccfd8520334565d2a9f5b49af
A Comprehensive Database of CGIAR Climate-Related Journal Articles (2012–2023)
Apr 17, 2025 - International Livestock Research Institute
Orth, Alan; Bosire, Caroline K.; Rabago, Laura; Vaidya, Shrijana; Rajbhandari, Sitashma; Pradhan, Prajal; Mukherji, Aditi, 2024, "A Comprehensive Database of CGIAR Climate-Related Journal Articles (2012–2023)", https://hdl.handle.net/20.500.11766.1/FK2/Z98CZO, MELDATA, V8
This dataset contains bibliographic metadata for 3,450 peer-reviewed journal articles used in the 2024 synthesis of CGIAR work on climate change. The metadata was retrieved from eight CGIAR institutional repositories, processed using a Python-based extract, transform, and load (E...
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