For HG_JUVENILE, we now indicate a number of animal mortality fields, based on a new mortality_type column in the metadata spreadsheet.
`animal-mortality-type` = mortality_type,
`animal-mortality-date` = dplyr::if_else(
!is.na(mortality_type),
format(
as.POSIXct(track_session_end_date, tz = "UTC", format = "%Y-%m-%d %H:%M:%S"),
"%Y-%m-%dT%H:%M:%SZ"
),
NA_character_
),
`animal-death-comments` =
dplyr::if_else(!is.na(mortality_type), track_session_remarks, NA_character_),
E.g.
animal-mortality-type: predated <- Separate column in spreadsheet
animal-mortality-date: 2022-08-27T06:00:00Z
animal-death-comments: Predated by fox.
This is sought-after information (see e.g. https://ryoliver-lab.github.io/global-animal-mortality-project/ ). I think we should try to include for all datasets:
For HG_JUVENILE, we now indicate a number of animal mortality fields, based on a new
mortality_typecolumn in the metadata spreadsheet.bird-tracking/src/interrex_to_movebank.Rmd
Lines 65 to 75 in 73ef84e
E.g.
predated<- Separate column in spreadsheet2022-08-27T06:00:00ZPredated by fox.This is sought-after information (see e.g. https://ryoliver-lab.github.io/global-animal-mortality-project/). I think we should try to include for all datasets: