The Alliance of Bioversity International and CIAT

Today’s global challenges of poverty, malnutrition, climate change, land degradation, and biodiversity loss call for new research, solutions, innovations, and stronger partnerships that can deliver higher impact. To respond to these challenges, and building on their complementary mandates and long collaboration, Bioversity International and the International Center for Tropical Agriculture (CIAT) have joined forces to create an Alliance.

The Alliance delivers research-based solutions that harness agricultural biodiversity and sustainably transform food systems to improve people’s lives.

To do so, the Alliance works with local, national and multinational partners across Latin America and the Caribbean, Asia and Africa, and with the public and private sectors. With partners, the Alliance generates evidence and mainstreams innovations in large-scale programmes to create food systems and landscapes that sustain the planet, drive prosperity and nourish people.

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1 to 10 of 2,682 Results
May 27, 2025
Scartozzi, Cesare Marco, 2025, "Climate Security Programming Dashboard for Climate Finance (CSPDxCF): dataset on compound risk exposure", https://doi.org/10.7910/DVN/LSX6FD, Harvard Dataverse, V1, UNF:6:v/32Ya7vmzbNOLLDr5+Opg== [fileUNF]
Developed to support the Climate Security Programming Dashboard for Climate Finance (CSPDxCF), an all-in-one solution for preliminary conflict-sensitive assessments and tailored guidance, targeting projects funded by international financial institutions and climate funds. See CSPD website for more details (https://cspd.cso.cgiar.org) Methodology: R...
MS Excel Spreadsheet - 11.4 KB - MD5: 2c5aa6c4ea2254b708a51a82f39bdbad
Documentation
metadata
Tabular Data - 17.4 KB - 15 Variables, 150 Observations - UNF:6:v/32Ya7vmzbNOLLDr5+Opg==
Data
Data
Apr 28, 2025
Ruiz-Hurtado, Andres Felipe; Camelo-Munevar, Rodrigo Andres; Arrechea-Castillo, Darwin Alexis; Jauregui, Rosa Noemi; Cardoso Arango, Juan Andres, 2025, "Dataset: Forage grasses in crop fields from ultra-high spatial resolution UAV-based imagery", https://doi.org/10.7910/DVN/DBGUFW, Harvard Dataverse, V1
This dataset contains orthomosaics and individual Regions of Interest (ROIs) of forage grasses in crop fields from experimental trials of CIAT’s tropical forages breeding program; and annotations in Common Objects in Context (COCO) format derived from that data. The ROIs were manually annotated on UAV imagery and exported in common objects in conte...
Markdown Text - 1.9 KB - MD5: 0b7b140ebdb5471711d780e859af6cfb
Documentation
Documentation
ZIP Archive - 6.6 GB - MD5: b0889054fd3e34f3d7da5d892b80b3e5
Data
contains the geospatial data, 8 compressed files each with an orthomosaic and its corresponding ROIs in vector format
ZIP Archive - 711.9 MB - MD5: fc64396a68122e7d070563d0baff3b1c
Data
COCO dataset derived from the geospatial data with annotations of forage grasses ("urochloa" and "megathrysus")
Apr 16, 2025
Camelo Munevar, Rodrigo Andres; Cardoso Arango, Juan Andres; Jauregui, Rosa Noemi; Espitia Buitrago, Paula Andrea; Mazabel Parra, Lady Johanna, 2024, "Near-Infrared Spectroscopy and Wet Chemistry Dataset for Forage Nutritional Quality Assessment in Urochloa humidicola", https://doi.org/10.7910/DVN/XPNIQY, Harvard Dataverse, V3, UNF:6:6nNxExBTq2TOHSSzwqMApA== [fileUNF]
Attributes such as the nutritional quality of pastures are characteristics that can be used to select better pastures and thus obtain a greater amount of meat and milk from livestock feed. However, the laboratory analytical method by which it is calculated is not cost effective in trials with a large number of plants, so developing methods that all...
Tabular Data - 6.6 MB - 1057 Variables, 1112 Observations - UNF:6:oyhlvVTfyxZRznJX5hQWzg==
Data
Tabular Data - 6.0 MB - 1054 Variables, 995 Observations - UNF:6:oztg655eJqG6zSAoUdelSQ==
Data
This data incluides 995 samples for neutral detergent fiber (NDF) and sample data such as Sample number, Scientific name, common name, family, genotype, external code drying type, part of the plant, country, location and notes.
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