Is there an easy way to filter on my user’s observations, in order that I can see where experts “disagree” with my initial ID suggestion? Not in case another user’s more specific ID fits within my own more broad taxonomical ID, but in case where it does not fit within my original suggested ID.
If it does not exist, I would like such a feature, as it would allow me to review and correct likely mistakes.
it shows more than that for me at that link. oh to the right of the search bar & filters button there is another checkbox for ‘Reviewed’ - uncheck that one
It would be nice though that, after I withdraw the original ID suggestions, they would disappear from the list we generate with your URL appendix &disagreements=true @dendroleon
I guess the only way to achieve that is to start playing with the “reviewed” checkbox of the observations?
I created a website to explore iNaturalist data. These features on my site might help you find disagreements with your observations.
search and view Observations and Identifications.
over 50 filters for observations ad over a dozen filters for identifications available in the filters form, so no need to memorize url params
view all identifications for each observation on the observations and identifications pages
There are different ways to find ‘disagreements’, so you need to pick which one fits your needs. Once you pick the query you want, you can export the query to the iNat website by clicking on “iNaturalist Links” icon.
One more question: is ther no way for me to auto-withdraw all my “maverick” original suggestions? Instead of going through them 1 by 1? @wy_bio@pisum@earthknight@fgallhuber
Not that I’m aware of, and personally I find that it’s better to check each observation individually anyway as in some cases your ‘maverick’ ID is actually the correct one, or there is enough ambiguity in the observation, that it should not be removed.
A Proud Maverick ID is important. You can @mention another taxon specialist if you remain confident of your ID. Sometimes the 2 who agree are supporting each other - more like team support than knowledge. Look at each obs with fresh eyes, and if they are older you may have learnt more in between.