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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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Raw data for "The role of conidia in the dispersal of *Ascochyta rabiei*"

Authors: Khaliq, Ihsanul; Fanning, Joshua; Melloy, Paul; Galloway, Jean; Moore, Kevin; Burrell, Daniel; Sparks, Adam H.;

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

Abstract

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)

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.

Keywords

Ascochyta rabiei, Spore Dispersal, Chickpea, Ascochyta blight, Weather

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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