Published May 25, 2020 | Version 1.0
Dataset Open

Raw data for "The role of conidia in the dispersal of *Ascochyta rabiei*"

  • 1. University of Southern Queensland, Centre for Crop Health, Toowoomba, Qld, 4350, Australia
  • 2. Agriculture Victoria, Horsham, Victoria, 3401, Australia
  • 3. Department of Primary Industries and Regional Development (DPIRD), Northam, WA, 6401, Australia
  • 4. New South Wales Department of Primary Industries, 4 Marsden Park Rd, Tamworth, NSW, 2340, Australia

Description

Raw data associated with the pre-print, “The role of conidia in the dispersal of Ascochyta rabiei”, https://doi.org/10.1101/2020.05.12.091827

There are six data files associated with this manuscript. Five are raw data, one was generated as a course of the analysis, “weather_summary.csv”. All files are in .csv format. Details for each including the number of columns and column contents and units follow.

Files and Content Descriptions

  • BCG_weather_data.csv – 15-minute interval weather data from the Birchip Ag Group automated weather station near Curyo, Victoria, Australia for the time period of 01/10/2019 to 31/10/2019
  • Curyo_SPA_2019_weather.csv – 10-minute interval weather data from AgVictoria’s automated weather station at Curyo, Victoria, Australia from 22/01/2019 to 06/12/2019 recorded with Measurement Engineering Australia, Adelaide, Australia equipment
  • Dispersal_experiment_dates.csv – Data detailing each spread event at each location including the time trap plants were put out and brought in and date assessed
  • Horsham_SPA_2019_weather.csv – 10-minute interval weather data from AgVictoria’s automated weather station at Horsham, Victoria, Australia from 01/01/2019 to 06/12/2019 recorded with Measurement Engineering Australia, Adelaide, Australia equipment
  • lesion_counts.csv – Data detailing lesion counts on trap plants for each location and spread event
  • weather_summary.csv– Summary weather data detailing for each location and spread event

BCG_weather_data.csv The file “BCG_weather_data.csv” contains six columns:

  • Reading Time – the time at which the data was recorded
  • Rainfall – the amount of rainfall (mm)
  • Humidity – relative humidity (%)
  • Temperature – air temperature (˚C)
  • Wind Speed – wind speed (km/p)
  • Wind Direction – direction in which the wind was blowing from (cardinal directions)

Curyo_SPA_2019_weather.csv and Horsham_SPA_2019_weather.csv The files “Curyo_SPA_2019_weather.csv” and “Horsham_SPA_2019_weather.csv” both contain 22 columns:

  • Time
  • Air Temperature - average (ºC)
  • Soil Temperature - average (ºC)
  • Relative Humidity - average (%)
  • Wind Speed - minimum (km/h)
  • Wind Speed - average (km/h)
  • Wind Speed - maximum (km/h)
  • Wind Direction - average (º)
  • Solar Radiation - average (W/m^2)
  • Sigma - average (deg)
  • Rainfall - (mm)
  • Voltage - minimum (V)
  • Voltage - average (V)
  • Voltage - maximum (V)
  • Apparent Temperature - average (ºC)
  • Dew Point - average (ºC)
  • Delta T - average (ºC)

Dispersal_experiment_dates.csv The file “Dispersal_experiment_dates.csv” contains five columns:

  • site – The experiment location
  • rep – Spread event number for each location
  • time out – date and time on which the trap plants were deployed in the paddock for the spread event (rainfall)
  • time removed – date and time on which the trap plants were retrieved from the paddock after the spread event (rainfall)
  • assessment date– date on which trap plants were assessed for number of lesions

lesion_counts.csv The file "lesion_counts.csv” contains thirteen columns:

  • site – The experiment location
  • rep – Spread event number for each location
  • distance – Distance from infection source (m)
  • station – Trap plant units (number of trap plants at each point along transect)
  • transect – One of ten repeating lines along which the trap plant stations were deployed in a 90˚ arc downwind of the infection source
  • dist_stat – A concatenation of the ‘dist’ and ‘station’ columns
  • plant_no – Total number of plants at a given station
  • pot_no – Individually assigned pot number for each individual transect (1 – 56)
  • counts_p1 – Lesion counts for Pot 1
  • counts_p2 – Lesion counts for Pot 2
  • counts_p3 – Lesion counts for Pot 3
  • counts_p4 – Lesion counts for Pot 4
  • counts_p5 – Lesion counts for Pot 5

weather_summary.csv The file “weather_summary.csv” contains six columns that summarise the weather conditions during each of the six spread events at three experiment plot locations.

  • site – The experiment location
  • rep – Spread event number for each location
  • mws – Mean wind speed for the spread event (m/s)
  • ws_sd – Wind speed standard deviation for the spread event
  • mwd – Mean wind direction for the spread event (˚)
  • sum_rain – Total precipitation during spread event including both natural rainfall and overhead sprinkler irrigation (mm)

Notes

Grains Research and Development Corporation (GRDC), Australia, provided financial assistance in this work through the project USQ-1903-003RTX. Agriculture Victoria and GRDC provided financial assistance in this work through their co-investment project DAV00150, and DJP1097-001RTX.

Files

BCG_weather_data.csv

Files (9.8 MB)

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Additional details

Related works

Compiles
Preprint: 10.1101/2020.05.12.091827 (DOI)
Is part of
Software: 10.5281/zenodo.3810827 (DOI)