Cassava brown streak disease annual field survey data from 2004 to 2017 in Uganda

Three datasets comprising information on annual field surveys for cassava brown streak disease (CBSD) in Uganda between 2004 and 2017. Data were collated from historic paper and electronic records using a protocol described in Sseruwagi et al. 2014. We distinguish between two datasets according to the level of detail and validation that was possible for each dataset. Dataset A comprises a digitized per-plant field survey information that has been fully validated against the original paper-format raw data records. Dataset B comprises historically digitised per-field summaries with variable and undocumented levels of scrutiny against the original data records. Dataset B is more extensive in some years with larger numbers of fields surveyed than Dataset A, but for which some of the original paper records are no longer available. Dataset C was derived by summarising plant-level information from Dataset A into per-field summaries, and then adding to Dataset A those points from Dataset B not already represented in Dataset A. The survey comprises variables related to sampled field properties, CBSD incidence and foliar disease symptoms severity, and abundance of the whitefly vector (Bemisia tabaci). DATASET_A.csv is organized in 126779 rows, each corresponding to a plant, where 30 plants are recorded in each field (except field id: ‘2015102’ which contains 29 plants records). DATASET_B.csv is organized into 4956 entries and represents per-field summary information recorded between 2008-2014. DATASET_C.csv contains a total of 7627 per-field summary records. The origin of each data record (A or B) is stated in the ‘data_origin’ column and identified as ‘dbA’ or ‘dbB’ respectively. Records in this file can be linked to records in Dataset A or B based on two columns: ‘dbA_id’ and ‘dbB_id’ respectively. The csv files can be read with a wide variety of programs including Excel and R. The LEGEND_CBSD_DATA.xlsx explains the column headers in all three datasets files.