Data · dataset · 2026
Contribution to BeeFunc: wing area data
Listed in data.InDoRES
Trait: wing area Date: the bees were captured during net surveys between March and May 2024.
Description
Measurements were taken in May 2025. Each bee was photographed from different angles using a Nikon AF-S Micro Nikkor 60 mm camera mounted on a rail to capture all the necessary parts.
A ruler was included in each photo to define the scale (here pixel/mm). Depending on the size of the bees, automatic extension rings of 12 mm, 20 mm or 36 mm were added to increase the sensor-lens distance and thus reduce the minimum focusing distance. First, the wings in the photograph were cut out using digital drawing and image editing software (Krita versions 5.2.6 and 5.2.9, Stichting Krita Foundation, krita.org).
Read the rest (3 more)
Then, they were coloured white using the method described by Lozier et al. (2021). [Lozier, J.D., Parsons, Z.M., Rachoki, L., Jackson, J.M., Pimsler, M.L., Oyen, K.J., et al. (2021). Divergence in Body Mass, Wing Loading, and Population Structure Reveals Species-Specific and Potentially Adaptive Trait Variation Across Elevations in Montane Bumble Bees.
Insect Systematics and Diversity, 5, 3.].A black background was applied to the rest of the image to provide contrast with the wings. Finally, the image was converted to 8-bit greyscale in ImageJ, following the method of Sorojsrisom et al. (2022). This limited the image information to 256 shades and a threshold was applied to precisely define what was considered a ‘wing’ (white) and ‘background’ (black).
[ Sorojsrisom, E.S., Krumm, J.L. & Trillo, P.A. (2022). Measuring Size and Area of Digitized Specimens using ImageJ.]. The surface area was then measured in ImageJ.
Links
Where it is published
- Dataverse dataset page data.indores.fr/dataset.xhtml?persistentId=doi%3A10.48579%2FPRO%2FJ5ZHR2 ↗
landing page · from data indores fr
- DOI doi.org/10.48579/pro/j5zhr2 ↗
DOI / persistent id · from data indores fr
Catalogue records · 1
- Dataverse API data.indores.fr/api/datasets/:persistentId/?persistentId=doi%3A10.48579%2FPRO%… ↗
metadata API · from data indores fr
Topics
- Stated by source
- Earth and Environmental Sciences
- From keywords
- Earth & Environmental Science · Life Sciences · Medicine & Health
- Inferred from text
- Crop and pasture production 69% · Image 75%
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| data.InDoRES | doi:10.48579/PRO/J5ZHR2 | 9 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:3004 | enrichment · data indores fr | taxonomy-embedding@1.0.0 | title+keywords+description (69%) |
| concepts[field].dataverse_subject:earth-and-environmental-sciences | source · data indores fr | connector:data_indores_fr@1.0.0 | /subjects |
| concepts[field].local:field:earth-environmental | mapping · data indores fr | connector:data_indores_fr@1.0.0 | /subjects |
| concepts[field].local:field:life-sciences | mapping · data indores fr | connector:data_indores_fr@1.0.0 | /subjects |
| concepts[field].local:field:medicine-health | mapping · data indores fr | connector:data_indores_fr@1.0.0 | /subjects |
| concepts[modality].local:modality:image | enrichment · data indores fr | keyword-concept-rules@1.0.0 | title+description (75%) |
| created_date | source · data indores fr | connector:data_indores_fr@1.0.0 | |
| description | source · data indores fr | connector:data_indores_fr@1.0.0 | /description |
| publication_date | source · data indores fr | connector:data_indores_fr@1.0.0 | |
| title | source · data indores fr | connector:data_indores_fr@1.0.0 | /name |
| updated_date | source · data indores fr | connector:data_indores_fr@1.0.0 | |
| version_label | source · data indores fr | connector:data_indores_fr@1.0.0 |