This DATSETNAMEreadme.txt file was generated on YYYY-MM-DD by NAME
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GENERAL INFORMATION

1. Title of Dataset: Weekly Helicoverpa zea moth captures from 1980-2021.

2. Author Information
	A. Principal Investigator Contact Information
		Name: Douglas Lawton
		Institution: North Carolina State university
		Email: ddlawton1@gmail.com

	B. Associate or Co-investigator Contact Information
		Name: Anders Huseth
		Institution: North Carolina State University
		Address: Department of Entomology and Plant Pathology, North Carolina State University, Campus Box 7630,Raleigh, NC 27695-7630 
		Email: ahuseth@ncsu.edu


3. Date of data collection (single date, range, approximate date)

This data was collected from the early 1980s to 2021.

4. Geographic location of data collection <latitude, longitude, or city/region, State, Country, as appropriate>: 

This data was collected throughout North America, however locations are biased towards the eastern seaboard.
 


SHARING/ACCESS INFORMATION

1. Licenses/restrictions placed on the data: 

Creative Commons Zero (CC0)

2. Links to other publicly accessible locations of the data: 

A portion of this dataset can be found here: http://www.pestwatch.psu.edu/ and likely a few other places.

5. Was data derived from another source? yes/no
	A. If yes, list source(s): 

This data was compiled from many sources from yearly survey efforts conducted by state agriculture extension agencies to academic research groups.

6. Recommended citation for this dataset: 

Lawton, Douglas (2022), Helicoverpa zea weekly catches, Dryad, Dataset, https://doi.org/10.5061/dryad.m0cfxpp5x

DATA & FILE OVERVIEW

1. File List: 

Lawton_etal_data.csv


METHODOLOGICAL INFORMATION

1. Description of methods used for collection/generation of data: 
<Include links or references to publications or other documentation containing experimental design or protocols used in data collection>

Data was collected in either pheromone or black light traps. These traps have biases (e.g. pheromone traps only attract males) and we have included a column in the dataset to denote whether the trap was blacklight, pheromone, or if we are unsure. 

2. Methods for processing the data: 

This data was sent to the first author in various formats from csvs to excel sheets. All data was munged together and summed up the weekly counts. This is further described in the methods section of the maintext. 

3. Instrument- or software-specific information needed to interpret the data: 
<include full name and version of software, and any necessary packages or libraries needed to run scripts>

These models were constructed in R (4.1.2) with the following packages: tidyverse, mgcv, and data.table.


DATA-SPECIFIC INFORMATION FOR: Lawton_etal_data.csv

1. Number of variables: 

8

2. Number of cases/rows: 

98023

3. Variable List: 

location = location of trap (factor)
year = year (integer)
woy = week of year (ISO 8601 system, Integer)
CEW_sum = weekly sum of corn earworm (Helicoverpa zea) count data (integer)
longitude = longitude (numeric)
latitude = latitude (numeric)
date = date (YYYY-MM-DD format)
unix_date = date in unix time (numeric)
trap_type = type of trap used. BL = black light, PH = Pheromone, BL_PH = blacklight or pheromone
zone_30y = the overwintering