Journal article
Spectral dataset of natural objects’ reflectance from the Southern cone of South America
- Abstract:
- The reflection in natural objects mediates an important fraction of the light reaching animal photoreceptors. Knowledge of the spectral properties of natural objects is increasingly valuable for different research fields. Measured datasets of natural objects’ reflectance can offer insights into fundamental and applied research questions, contributing to investigations from coloration and color vision to color analysis and representation. Thus, datasets of natural objects’ reflectance across different locations are crucial to assessing the universality and variability of physical visual inputs in diverse environments. However, the Southern Hemisphere is notably underrepresented in publicly available datasets of natural objects. To address this gap, we present a spectral dataset of natural objects’ reflectance from the Southern cone of South America, specifically Northwestern Argentina. Our dataset encompasses 532 samples representing diverse natural objects such as barks, flowers, fruits, leaves, plant fruits, stones, and animal specimens, including birds, beetles, and butterflies. By openly sharing this dataset, as a publicly available online resource, we aim to facilitate research across various disciplines, from evolutionary biology to industrial applications.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
-
(Preview, Version of record, pdf, 3.1MB, Terms of use)
-
- Publisher copy:
- 10.1038/s41597-025-04675-9
Authors
- Publisher:
- Springer Nature
- Journal:
- Scientific Data More from this journal
- Volume:
- 12
- Issue:
- 1
- Article number:
- 594
- Publication date:
- 2025-04-09
- Acceptance date:
- 2025-02-19
- DOI:
- EISSN:
-
2052-4463
- Language:
-
English
- Pubs id:
-
2119290
- Local pid:
-
pubs:2119290
- Deposit date:
-
2025-04-22
- ARK identifier:
Terms of use
- Copyright holder:
- Gutiérrez et al
- Copyright date:
- 2025
- Rights statement:
- © The Author(s), 2025. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
- Licence:
- CC Attribution (CC BY)
If you are the owner of this record, you can report an update to it here: Report update to this record