add picture

Author: brunj7

hands-on.qmd

@@ -24,6 +24,8 @@ Data set hosted by the NSF Arctic Data Center (<https://arcticdata.io>)
 
 Field data on shorebird ecology and environmental conditions were collected from 1993-2014 at 16 field sites in Alaska, Canada, and Russia.
 
+![shorebird, copyright NYT](https://static01.nyt.com/images/2017/09/10/nyregion/10NATURE1/10NATURE1-superJumbo.jpg?quality=75&auto=webp)
+
 Data were not collected in every year at all sites. Studies of the population ecology of these birds included nest-monitoring to determine timing of reproduction and reproductive success; live capture of birds to collect blood samples, feathers, and fecal samples for investigations of population structure and pathogens; banding of birds to determine annual survival rates; resighting of color-banded birds to determine space use and site fidelity; and use of light-sensitive geolocators to investigate migratory movements. Data on climatic conditions, prey abundance, and predators were also collected. Environmental data included weather stations that recorded daily climatic conditions, surveys of seasonal snowmelt, weekly sampling of terrestrial and aquatic invertebrates that are prey of shorebirds, live trapping of small mammals (alternate prey for shorebird predators), and daily counts of potential predators (jaegers, falcons, foxes). Detailed field methods for each year are available in the ASDN_protocol_201X.pdf files. All research was conducted under permits from relevant federal, state and university authorities.
 
 See `01_ASDN_Readme.txt` provided in the `data` folder for full metadata information about this data set.
@@ -284,7 +286,3 @@ DBI::dbDisconnect(conn, shutdown = TRUE)
 You might be wondering, how we created this database from our csv files. Most databases have some function to help you import csv files into databases. Note that since there is not data modeling (does not have to be normalized or tidy) constraints nor data type constraints a lot things can go wrong. This is a great opportunity to implement a QA/QC on your data and help you to keep clean and tidy moving forward as new data are collected.
 
 
-```{sql}
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