TAMASA agronomy and household data are available on the CIMMYT Research Data & Software Repository Network, which is a Dataverse repository

Available HERE

TAMASA datasets are labeled by country (ET=Ethiopia, NG=Nigeria and TZ=Tanzania) and area of research, which correspond to TAMASA Workstreams. The areas of research and the data are briefly described below.

Agronomy Panel Survey (APS)

The APS is a panel survey that integrates household and community data with agronomy, yield and soil data from a maize focal plot. The survey was conducted in the 2016 and 2017 seasons and covers approximately 750 households in each country.

Nutrient Omission Trials (NOT)

NOTs, which are a standard method to assess and predict nutrient requirements by omitting one nutrient or element (NPK typically), have been conducted in all three countries in multiple years. Datasets comprise pre-planting soil analysis and yield data.

Performance Trials (PT)

PTs are trials with four treatments that compare the regional fertilizer recommendation with fertilizer recommendations generated by Nutrient Expert (https://software.ipni.net/article/nutrient-expert) based either on field management history or based on a soil test. There was also a zero fertilizer control. Datasets include the nutrient recommendations and yield data

Variety Tool (VT)

Multi-locational trials to represent different temperature regimes were conducted in each country to generate crop phenology data on commonly grown maize varieties. The dataset comprises dates of key phenological events and in some cases yield

Crop-cut, agronomy and soil data

Crop-cuts, soil samples (0-20, 20-50cm) and a minimum agronomy dataset were collected from farmers’ fields in TAMASA’s area of interest from 2015. Crop-cuts were replicated while soil samples were bulked. Most crop-cuts and soil samples in 2016 and 2017 are linked via a common identifier to the APS data.

UAV and proximal sensor data

In Nigeria UAVs and proximal sensors (i.e. Greenseeker) have been used to measure indices such as plant height, green area and NDVI on NOT experiments and surrounding farmers’ fields.

All the datasets are Excel files with multiple tabs and in some cases PDFs to describe the data collection process or instrument. Each dataset has a:

  1. Metadata tab that broadly describes the dataset using many of the CGIAR descriptors
  2. Variables tab that defines the observed or measured data, including the units and summary statistics
  3. Data tab(s) with the data in rows (entries) and columns (variables)
  4. History tab describing actions taken on the file.

Personal data and geo-points have been removed from the files but are available upon request. Data can be freely downloaded subject to a standard Terms of Use. We request that proper credit is given via the citation generated by Dataverse

All TAMASA data can found HERE. Please put ‘TAMASA’ in the search box.