Data
As of 15 October 2026, we have processed 2542 original data sets containing a total of 3,455,216 records. The map below shows all locations for which we have at least one observation, one thematic group at a time.
The figures below show the growth of Carob over time
For ease of organization we divide the data into thematic groups. These are not mutually exclusive. For example, the first place to look for crop response to fertilizer data would be in the “agronomy” group. However, the “survey”, and “varieties_” groups may also contain fertilizer application data. Likewise, the “varieties_” groups have data for comparing crop varieties, but variety names are also reported in the “agronomy” group. This means that you may want to consider using data from multiple groups. Note that the “varieties_other” groups includes data from multiple crops, perhaps including crops that have their own varieties_* group (e.g. “varieties_wheat”).
The table below shows the current groups and the number of original datasets and records in each group. We also show these numbers for the datasets that have a Creative Commons (CC) license.
| Group | Datasets | Records | CC-Datasets | CC-Records |
|---|---|---|---|---|
| agronomy | 338 | 536 586 | 263 | 374 493 |
| pest_disease | 8 | 3 225 | 6 | 2 593 |
| soil_samples | 39 | 245 822 | 14 | 228 462 |
| survey | 99 | 602 372 | 69 | 503 416 |
| varieties_cassava | 1467 | 229 179 | 1467 | 229 173 |
| varieties_cowpea | 76 | 23 193 | 76 | 23 193 |
| varieties_maize | 81 | 105 988 | 62 | 69 756 |
| varieties_other | 65 | 290 670 | 61 | 289 694 |
| varieties_potato | 89 | 55 599 | 87 | 55 535 |
| varieties_sorghum | 55 | 13 161 | 55 | 13 161 |
| varieties_wheat | 225 | 1 349 421 | 4 | 19 234 |
Below, you can download the compiled standardized data that come with a Creative Commons license.
You can download data by group, or, if you want all available data, select “everything”. If you want data for a single data set, you can find these here. You can use R package caramba to integrate the data download into an R workflow – including the data that do not havea a CC license.
You can create the full datasets yourself by following these instructions.
Please note that we have currently only partially processed much of the survey data, and the original data sources may contains many more variables. The data available here are our first attempt to standardize widely variable data with lots of data quality issues. The data still contain errors from the original data that remain, and likely also errors that we have introduced.