Jon Sullivan4d ago

Introducing *Austramathes coelacantha*!

I uploaded this moth to iNaturalist from my moth lighting last month in the NZ mountains. It's now the first iNat record of this NZ endemic moth, which was first described as a species in 2017.

This adds to the five records of the species on GBIF from the NZ Arthropod Collection (four specimens from 1975 and one from 2023).

It's known (so far) from shrublands and beech forests of central and eastern South Island. Its caterpillars have not been confirmed yet, although they're expected to be on *Melicytus* (mahoe and relatives).

Big thanks go to NZ moth expert Neville Hudson for identifying this. Neville has so far made 171,359(!) species identifications on iNaturalist, almost all moths, and all done for free. It's an extraordinary contribution to our knowledge of NZ moths.

https://inaturalist.nz/observations/338636198

#mothodon #moths #Lepidoptera #nz #iNaturalist #iNaturalistNZ #GBIF #entomology #CitizenScience

Show threadJon SullivanFeb 4

Here's another of the six new moth species to my garden this year, in Ōtautahi-Christchurch, NZ. This one had me puzzled until NZ moth expert Neville Hduson from Auckland identified it this morning on #iNaturalist.

It's the Australian Wattle Gall Miner, *Polysoma eumetalla*, and this is the third record of it on #GBIF from the South Island.

It's a pretty wee thing but easily overlooked because it's tiny (see the second photo of it next to a green garden looper moth).

Remarkably, its caterpillars make their living mining inside galls on some Australian wattle trees, which in NZ are formed by the Australian rust fungus *Uromycladium tepperianum*.

#mothodon #moths #Lepidoptera #nz #entomology #insects #iNaturalistNZ

Wikidata Taiwan 臺灣維基數據社群Feb 3

在 Living Data 2025 中有一場 Wikidata 專題演講：【#Wikimedia 與生物多樣性資料：在開放知識生態系中的互惠關係】，議程中探討了 Wikimedia 各專案（#Wikipedia、 #Wikidata 、 #Commons）與全球生物多樣性基礎建設（如 #GBIF、#iNaturalist、Biodiversity Heritage Library／#BHL）之間的交會點，並強調它們在資料動員、標準化、公共參與與知識傳播上的協同作用。

此外，同時討論了 Wikimedia 的社群特性如何協助串連標本資料、文獻以及多媒體資源，朝向建立一個鏈結式(Linked)的生物多樣性知識圖譜。

該議程提供一個討論空間，希望聚焦於生物多樣性資料如何與 Wikimedia 平台連結，確保生物多樣性知識能以開放、結構化、且易於研究者、政策制定者與大眾取得的方式呈現。

議程演講已經公開歡迎至 YouTube 觀看：https://youtu.be/wXaHJ85g88A

#維基數據 #維基資料 #開放資料
#OpenData

Johannes TimaeusJan 25
Hier Karten zur Verbreitung der #AsiatischenHornisse für die Jahre 2023-2026. Die Daten kommen von der #GBIF (Global Biodiversity Information Facility). Die Daten erfüllen damit GBIF-Standards, sind aber nicht von mir kuratiert oder validiert. Die Daten ziehe ich über eine API der GBIF mittels HTML Code. https://www.bio-kultur.org/vespa-velutina/
Vespa velutina – BioKultur

Johannes TimaeusJan 19
Here a first trial to access #CastorFiber data for the last and the current year via the #gbif #API. I had the help of Gemini for creating #html since I am not used to this. However, it would be valuable to get some hints were to find a verified approach by humans 😊 . I basicly want to track species occurrences from gbif with the most recent data there and make them public (with reference to gbif of course).
GBIFJan 15

📢 Registrations for #BioMonWeek2026 are opening in early February!

📍 Montpellier, France
📅 4–8 May 2026
Join the first edition of the European conference on cooperation and innovation in biodiversity monitoring, bringing together science, policy and business communities

www.biomonweek.eu

@BiodiversaPlus #GBIF, #MARCOBOLO, #BioAgora #AllianceforNature

Mark PitbladoJan 9

Created a little tool to make it easier for people to download and cite images from #GBIF, and wrote a paper about it that was published today

Paper: https://journals.ku.edu/jbi/article/view/24326

Tool: https://github.com/mark-pitblado/gbif-image-downloader

Downloading images from GBIF: Licenses, citation and link rot | Biodiversity Informatics

Johannes TimaeusJan 8
Playing around again in anticipation of my trip to central America. This is the distribution of the Jaguar (Panthera onca) in America according to #gbif data. https://doi.org/10.15468/dl.zpvh69
Show threadJohannes TimaeusJan 6
The data was obtained from #gbif https://doi.org/10.15468/dl.cbmhc3
Johannes TimaeusDec 18
Are there some #qgis and #linux Nerds here working with occurence Data from #gbif ? Under this set up my occurrence data is is way off were it should be despite correct kbs / projection. Also points are as decimal separators in the data as required in qgis. Under #windows and #qgis it’s all fine.