Results 131 to 140 of about 51,096 (214)

Assessing current curation, identification and digitisation practices in herbaria: Results from a global survey

open access: yesPLANTS, PEOPLE, PLANET, EarlyView.
The value of herbarium specimens depends largely on the accuracy and accessibility of the data captured, which is dependent on curation practices. Previous studies have shown high levels of misidentification in collections, which become more problematic with increased access.
Celia C. Aceae   +3 more
wiley   +1 more source

Digitising biological collections to advance National Species Inventories: A case study from the flora of Chile

open access: yesPLANTS, PEOPLE, PLANET, EarlyView.
In response to Chile's public policy to establish a national biodiversity inventory and monitoring system, we launched the HerbarioDigital.cl portal. We have digitised over 120,000 specimens representing more than 3,900 species from two Chilean herbaria, integrating them through a curated local taxonomic index.
Ricardo A. Segovia   +5 more
wiley   +1 more source

Animating blossom: Time‐lapse to encourage plant awareness in the YouTube era

open access: yesPLANTS, PEOPLE, PLANET, EarlyView.
Time‐lapse videos can effectively capture key traits of flower blossoms, such as color, 3D structure, and temporal changes, making them valuable complements to herbarium specimens and other botanical collections. Despite the abundance of such videos on YouTube, most provide no ecological and botanical insights.
Tae Kyung Yoon
wiley   +1 more source

Balancing tracks and trees: Assessing railroad impact on Brazilian biodiversity

open access: yesPLANTS, PEOPLE, PLANET, EarlyView.
The Brazilian West–East Integration Railway (FIOL) aims to boost the national economy by improving commodity transport; however, it crosses three of Brazil's most biodiverse and fragile regions: the Caatinga, Cerrado and Atlantic Forest. Using digitised plant records and land‐use analyses, our study reveals significant vegetation loss within the ...
Ana Luiza Silva Rocha   +3 more
wiley   +1 more source

Machine learning‐driven advances in carbon‐based quantum dots: Opportunities accompanied by challenges

open access: yesResponsive Materials, EarlyView.
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen   +8 more
wiley   +1 more source

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