Simulated Herbarium data for testing the accuracy with which specimen data can predict the timing and duration of population-level flowering displays

This dataset provides code and example data for simulating specimen collections of flowering plants across North America, and for developing phenological predictions of population-level flowering onset and termination for these data.  It further presents code for assessing the accuracy of these predictions relaticve to known (simulated) population-level flowering dates at the location of each collection., Creating a reference dataset: generating sample locations representing known population-level phenological distributions and individual phenological parameters
We simulated phenological data for 1200 hypothetical “species” in the coterminous USA that varied in the attributes of their individual- and population-level flowering phenology. For each of these simulated species, we selected 1000 locations within the continental United States, each representing a local population observed during a single year from which a simulated specimen was later obtained. The coordinates for each location, year, and associated mean annual temperature in the year of collection were randomly selected without replacement from 4-km2 PRISM pixels (PRISM Climate Group 2011) between the years 1901 to 2020, and were restricted to locations with 1991–2020 temperature normals of 1–20 °C and mean annual precipitation normals for the same period of 60–3800 mm.
Each species generated this way was assigned a series of ..., , # Simulated Herbarium data for testing the accuracy with which specimen data

This README.txt file was generated on 2023-10-20 by Isaac Park

## GENERAL INFORMATION

1. Title of Dataset: Phenological models inferring population-level flowering onset and termination from simulated herbarium data
2. Author Information witheld for review*
3. Date of data collection 10/10/2023:
4. Geographic location of data collection: NA, simulations based on climate data from continental USA
5. Development of these datasets and associated python code were supported by the National Science Foundation

## SHARING/ACCESS INFORMATION

1. Licenses/restrictions placed on the data: Public Domain
2. Links to publications that cite or use the data:
3. Links to other publicly accessible locations of the data:
4. Links/relationships to ancillary data sets: Raw observation locations used to underpin simulations in this data can be acquired from USANPN.org. Climate data is available through [https://www.pris...