Hi! I am using the and_vertebrates data (and loving it!) but I realized there is a small typo in the documentation for that dataset. The column clip lists the different abbreviations for which cutthroat trout fin was clipped.

The abbreviations that include a "V" say that this refers to the "ventrical fin" but I believe that fish have a "ventral fin". I could definitely be wrong but I wasn't able to find results on Google for 'trout + "ventrical fin"' so I think it may be a typo.

See ?lterdatasampler::and_vertebrates and scroll down to clip (third from last column) to see the bit I'm talking about.

Thanks to y'all for putting together a great package though and I'm excited for it to be submitted to CRAN!

Make it so that text formatted like this that is ALSO a link has a line or some other feature letting people know it's a hyperlink.

Add before Citation, listing persons who provided feedback / materials used in the vignette

Yep, lterdatasapler is on cran 🎉

• Add cran badge
• Update instructions on how to install the package
• Add a git tag for the release
• Clean up branches
• Add a developer branch as a buffer

the README.md can not render the code generated by the gt table package.

We decided to thus create a dedicated page for the matrix on the website and switch to a more simple table for the README

From Hillary --

A few minor things:

• In the scatterplot filter line, ice_duration is not a variable, it's avg_ice_duration. Also maybe the x-axis should read 'average air temperature' so it's not confused with water temp (I realize you have a title)
• When you look at the objects, can they be in their own code box. I ask this because when you copy the code it's annoying to get the output copied as well.
• Be consistent on avg vs ave
• Not sure it's a great idea to include Wingra in the average given it has a longer duration and a bunch of missing data

Suggestion on the comparison between air temp and ice duration. Taking an annual air temp is not the best because ice freezes over the winter, so it's more useful to look at water year. Furthermore, it's mostly impacted by fall and spring temperatures, so taking mean Dec:April temps gives a lot better sense of the relationship. Plot/code below.

library(lubridate)

ntl_airtemp_avg <- ntl_airtemp %>%
  mutate(hydroyear = if_else(month(sampledate) < 10, year-1, year)) %>%
  filter(month(sampledate) %in% c(12,1:4)) %>%
  group_by(hydroyear) %>%
  summarise(ave_air_temp_adjusted = mean(ave_air_temp_adjusted))

ntl_joined_avg <- ntl_icecover_avg  %>%
  left_join(by = c("year" = "hydroyear"), ntl_airtemp_avg)

ggplot(data = ntl_joined_avg ,
       aes(y = avg_ice_duration, x = ave_air_temp_adjusted)) + geom_point(alpha = 0.8) +
theme_minimal() +
labs(
  title = "Air Temperature and Ice Duration of Lakes in Madison, WI",
  y = "Ice Duration (Days)",
  x = "Mean Air Temperature Dec-April (Celsius)",
  subtitle = "North Temperate Lakes LTER"
) +
geom_smooth(
  method = "lm",
  color = "black",
  se = FALSE,
  size = 0.3
)

Currently, the images used for illustration purposes are of very variable size. We need to lower the size of the largest ones

The Format section of the and_vertebrates_doc page states that the data has 6 variables while it actually has 16 variables.
https://lter.github.io/lterdatasampler/reference/and_vertebrates.html

Look more into stream data that they could use

License is stated in the DESCRIPTION file, but would be great to add it to the README / website landing page

Hi Julien -
Are you collecting dataset suggestions? you might be interested in this dataset that was explicitly created for education: https://portal.edirepository.org/nis/metadataviewer?packageid=knb-lter-sbc.88.1

Its organization as an excel spreadsheet probably won't work for any automated ingestion you plan, but the original SBC data would be part of this dataset:
https://portal.edirepository.org/nis/metadataviewer?packageid=knb-lter-sbc.6003.5
There are similar datasets from MCR; they would be able recommend which one.

still as lterdatasets

We should try to add the matrix of skills to the readme. It can be static for now.

Can be dropped if we run out of time

• KNZ - Konza Prairie Bison (Allison)
• AND - Andrews Vertebrates (Allison)
• HUB - Hubbard Brooks Sugar Maples (Allison)
• PIE - Plum Island Ecosystem (Julien)
• NWT - Niwot Pikas (Julien)
• NTL - North Temperate Lakes Icecover (Julien)

We had talked about a box with animals packed in it and some starting to get out (like a crab for example)

Prepare data sample for Bonanza LTER using: https://portal.edirepository.org/nis/mapbrowse?packageid=knb-lter-bnz.601.4

The bird dataset could be a good example of how to use KML and csv files to create geospatial information and showcasing extrapolation (points to grid)

Here is an example we could build on: https://static.sustainability.asu.edu/docs/explorers/lesson-plans-new/15-min-Bird-Distribution.pdf

We could select one species that lives in the city and one outside the city with the impact of urban environment on birds as a background story.

Dataset: https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-cap&identifier=46

• Reach out to HBR Sugar Maples folks
• Reach out & finalize bison data
• Add acknowledgements sections to AND, HBR, KNZ
• Draft hex sticker
• Start with methods matrix (maybe sketch this?)
• Add Toolik Weather data

README.Rmd: Links to reference pages and vignette pages are formatted the same (pie_crab) and do not link to each other. I spent a long time trying to find the metadata from the vignette page for a dataset without realizing that each dataset had both pages (foolish in retrospect!)

Need to select and add our dataset #3

Capstone repo: https://github.com/ucsb-ds-capstone-2021/lterdatasets

metadata for length2 is a bit confusing (cutthroat also appear there, but metadata implies that this would only be snout-tail lengths for Coastal giant salamanders only). Need clarification from IM.

https://lter.github.io/lterdatasampler/reference/hbr_maples.html
hbr_maples.Rd

7 Format
12 \item{elevation}{a factor describing the sample staion where the fecal sample was collected}

Copy/paste description error for elevation? I didn't see the collection of fecal samples in this data set :)

We should add a section to the README to gather links about the package as we start to have more information about it

We need to select the second dataset to showcase

Capstone repo: https://github.com/ucsb-ds-capstone-2021/lterdatasets

Add a footer with LTER, Bren, and NCEAS logos at least to the readme and potentially to the pkgdown site

Fix so that there's clear distinction between the Level 1 & Level 2 headers.

• Make variable names more intuitive
• Update wrangling formatting
• Edit text
• Finalize visualizations

Getting inspired by this: https://brunj7.github.io/EDS-214-analytical-workflows/day1-hands-on_drawings_p2.html

@allisonhorst Should we try some more advanced time-series analysis such as abrupt change detection: https://medium.com/bigdatarepublic/dealing-with-abrupt-market-changes-in-your-analysis-a-brief-tutorial-on-time-series-change-point-3b624295afda

• Suppress messages in and_vertebrates
• Work on logo
• Add acf() and maybe decomposition to arc_weather
• Seriously make the homepage table!
• Reach out to Plum Island LTER IM re: vignette feedback
• Incorporate feedback from ARC LTER when received
• Reach out to Andrews LTER IM re: vignette feedback
• Move topics table to separate tab on pkgdown site
• Review blog post for launch

Expecting that we'll add the vignettes to buildignore (so that we can include images, dependencies, etc. in vignettes), have a message appear when vignettes are called pointing users to the pkgdown site?

The vignette names are too long to look good on the website.

2 options:

• shorten the title to the vignette to theme + site, e.g. Lake Ice Cover -- NTL, and add a subtitle
• modify the pkgdown yaml file to overwrite the vignette's name

Let me know if you have a preference @allisonhorst !

Add information on model that could be used, using broom to get estimates more easily and put them into a final regression table.

for 4/4/2022 announcement

https://lternet.edu/stories/pika-enthusiasts-unite-under-a-common-theme/

Has great pictures

Suggested by Emil Hvitfeldt (see: https://modeldata.tidymodels.org/dev/reference/Sacramento.html), glimpse atop each vignette should work fine.

Hullo Allison and Julien,

BLE is wondering if you've already gotten data from us or if not, you'd like to work together on finding a dataset. If you've gotten data then disregard this, we probably forgot! Thanks!

The documentation for the ntl_icecover dataset states that the data have 431 rows. However, the data have 334 rows.