AI = artificial intelligence, =CV in the iNat context.
Birding = looking for birds
Botanizing = looking for plants
CID = Community Identification (the >2/3rd majority taxa in common with all IDs made)
CV = Computer Vision 1, the image recognition system used for automated ID suggestions on iNat
DQA = Data Quality Assessment (found at bottom of an Obs page)
Herping = looking for amphibians and reptiles. ie ‘herpetology’
ID = Identify (verb), Identification (noun)
Ident-o-tron = checklist-based ID aid accessed through the Compare button on an ID (example 4)
iNat = iNaturalist in all it’s glorious forms!
iNatter = a participant in iNaturalist
ML = machine learning, =CV in the iNat context.
Obs = Observation
OP = Original Poster, the person that started the topic/thread
RG = Research Grade
Sally Searching = looking for salamanders
TL;DR = Too long, didn’t read (as a response) or Too long, don’t read (highlighting a summary)
Unknownithologist = Someone who actively identifies “Unknown” observations (those with 0 IDs)
YMMV = Your Mileage May Vary (meaning ‘it could be different for you’)
“BP, MT, please split” meaning “blurry photo, multiple taxa, please split these photos into multiple observations,”
CID: Community ID
TTID: Time To ID
TTCID Time To Community ID
https://www.gezondnatuurwandelen.nl/
| Firstname |
Lastname |
Age |
| Jill |
Smith |
50 |
| Eve |
Jackson |
94 |
https://www.gezondnatuurwandelen.nl/
| Abbrev |
Description |
|
| AI |
artificial intelligence, |
|
| Birding |
looking for birds |
|
| Botanizing |
looking for plants |
|
| CID |
Community Identification (the >2/3rd majority taxa in common with all IDs made) |
|
| CV |
Computer Vision 1, the image recognition system used for automated ID suggestions on iNat |
|
| DQA |
Data Quality Assessment (found at bottom of an Obs page) |
|
| Herping |
looking for amphibians and reptiles. ie ‘herpetology’ |
|
| ID |
Identify (verb), Identification (noun) |
|
| Ident-o-tron |
checklist-based ID aid accessed through the Compare button on an ID (example 4) |
|
| iNat |
iNaturalist in all it’s glorious forms! |
|
| iNatter |
a participant in iNaturalist |
|
| ML |
machine learning, |
|
| Obs |
Observation, |
|
| OP |
Original Poster, the person that started the topic/thread |
|
| RG |
Research Grade |
|
| Sally Searching |
looking for salamanders |
|
| TL;DR |
Too long, didn’t read (as a response) or Too long, don’t read (highlighting a summary) |
|
| Unknownithologist |
Someone who actively identifies “Unknown” observations (those with 0 IDs) |
|
| YMMV |
Your Mileage May Vary (meaning ‘it could be different for you’) |
|
| “BP, MT, please split” |
“blurry photo, multiple taxa, please split these photos into multiple observations,” |
|
| CID |
Community ID |
|
| TTID |
Time To ID |
|
| TTCID |
Time To Community ID |
|
https://kildor.name/react/inat-converter/Met Google translate kun je ook statistisch journaal posts maken. er is een tool voor die de noodzakelijke alineas (page breaks) toevoegt, origineel is het gebruikt om statische to Flora of Russia projectte schrijven en zet ook wat statistieken om in HTML .
There are several tabs (Species, experts, observers) in the project. You can copy the text, for example
Ранг Пользователь Наблюдения Вид
1 apseregin 28 578 1 793
2 dni_catipo 16 286 949
3 panasenkonn 15 417 1 084
4 velibortravoved 12 613 691
5 melodi_96 11 083 950
and paste it to the script. It converts the plain text with tabs to the table for better reading,
iNat strips the table tags from comments, so I can't show you the result. The markup will be like this:
| Место |
Наблюдатель |
Наблюдений |
Видов |
| 1 |
apseregin |
28 578 |
1 793 |
| 2 |
dni_catipo |
16 286 |
949 |
| 3 |
panasenkonn |
15 417 |
1 084 |
| 4 |
velibortravoved |
12 613 |
691 |
| 5 |
melodi_96 |
11 083 |
950 |
https://kildor.name/react/inat-converter/Met Google translate kun je ook statistisch journaal posts maken. er is een tool voor die de noodzakelijke alineas (page breaks) toevoegt, origineel is het gebruikt om statische to Flora of Russia projectte schrijven en zet ook wat statistieken om in HTML .
There are several tabs (Species, experts, observers) in the project. You can copy the text, for example
Ранг Пользователь Наблюдения Вид
1 apseregin 28 578 1 793
2 dni_catipo 16 286 949
3 panasenkonn 15 417 1 084
4 velibortravoved 12 613 691
5 melodi_96 11 083 950
and paste it to the script. It converts the plain text with tabs to the table for better reading,
iNat strips the table tags from comments, so I can't show you the result. The markup will be like this:
| Место |
Наблюдатель |
Наблюдений |
Видов |
| 1 |
apseregin |
28 578 |
1 793 |
| 2 |
dni_catipo |
16 286 |
949 |
| 3 |
panasenkonn |
15 417 |
1 084 |
| 4 |
velibortravoved |
12 613 |
691 |
| 5 |
melodi_96 |
11 083 |
950 |
Posted on
November 5, 2020 12:07 PM
by
ahospers
Comments
AbbrevDescriptionAI artificial intelligence, Birding looking for birdsBotanizing looking for plantsCID Community Identification (the >2/3rd majority taxa in common with all IDs made)CV Computer Vision 1, the image recognition system used for automated ID suggestions on iNatDQA Data Quality Assessment (found at bottom of an Obs page)<td styl
@ahospers, it seems you forget to switch "Formating" to "No formatting" in entry preferences, so there are unnesessary <br/> tags have appeared.
This is partly true
And now you have to manually add
<br/>or<p></p>tags.Heh,you are familiar with this ? Normaly i have plain tekst
Yes, I am.
You can try https://kildor.name/react/inat-converter/ to write journal posts. Unfortunately it has Russian interface only, but I hope it should mostly be clear to use. I've made it to write statistic posts to Flora of Russia project. The script adds necessery line breaks to the text, and converts some copied statistics to html.
You really made work of it Google Translate does work with it
I saw it adding < p > and < / p> but what does it do more ? Do you have an exmeple of statistics ?
Look to the journal of https://www.inaturalist.org/projects/flora-of-russia. For example this post. The tables are created with the script.
There are several tabs (Species, experts, observers) in the project. You can copy the text, for example
Ранг Пользователь Наблюдения Вид1 apseregin 28 578 1 793
2 dni_catipo 16 286 949
3 panasenkonn 15 417 1 084
4 velibortravoved 12 613 691
5 melodi_96 11 083 950
and paste it to the script. It converts the plain text with tabs to the table for better reading,
iNat strips the table tags from comments, so I can't show you the result. The markup will be like this:
<table class='table table-striped table-hover table-condensed'><thead><tr><th>Место</th><th>Наблюдатель</th><th>Наблюдений</th><th>Видов</th></tr></thead>
<tr><td>1</td><td>apseregin</td><td>28 578</td><td>1 793</td></tr>
<tr><td>2</td><td>dni_catipo</td><td>16 286</td><td>949</td></tr>
<tr><td>3</td><td>panasenkonn</td><td>15 417</td><td>1 084</td></tr>
<tr><td>4</td><td>velibortravoved</td><td>12 613</td><td>691</td></tr>
<tr><td>5</td><td>melodi_96</td><td>11 083</td><td>950</td></tr>
</table>
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