Results 171 to 180 of about 11,242 (213)

A GIS‐Integrated Active Learning Framework for Crash Severity Classification in Imbalanced Traffic Data

Transactions in GIS, Volume 30, Issue 2, April 2026.
ABSTRACT Classifying urban traffic crash severity remains challenging because severe incidents are underrepresented in highly imbalanced datasets. This challenge is further intensified by spatiotemporal shifts in data distributions, which can degrade model performance over time.
Reza Mohammadi, Mohammad Taleai
wiley   +1 more source

Thirty-five years of floristic collections in southern Tuscany (Italy). [PDF]

Biodivers Data J
Selvi F, Martellos S, Conti M.
europepmc   +1 more source

The Legacy of Colonial‐Era Urban Planning on Present Day Air Quality Disparities in Kampala, Uganda

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 6, 28 March 2026.
Abstract British colonial urban planners in Kampala, Uganda, designed segregated neighborhoods for Europeans, Asians, and Africans, under the colonial public health guidance. No studies have investigated how these historical urban design decisions relate to modern air pollution exposure disparities in African cities.
Dorothy Lsoto, Kayan Clarke, Yu Li, Aleia McCord, Jonathan Alan Patz, Deo Okure, Alex Ndyabakira, Daniel Okello Ayen, Eric S. Coker   +8 more
wiley   +1 more source

Gamma-ray spectrometry dataset along the route of the research vessel Laura Bassi during the Antarctic campaign. [PDF]

Data Brief
Iurcev M, Trebbi A, Salmassian B, Musco ME, Coren F.   +4 more
europepmc   +1 more source

Estimating the botanical composition of bahiagrass–rhizoma peanut pastures using aerial multispectral imagery and deep learning

Crop Science, Volume 66, Issue 2, March/April 2026.
Abstract Estimating the botanical composition in mixed pastures is challenging due to resource‐intensive sampling methods overlooking grassland spatial variability. We aimed to (I) classify bahiagrass (Paspalum notatum Flügge) and rhizoma peanut (Arachis glabrata Benth.) in grass–legume pastures using aerial multispectral imagery and machine learning, (
Igor L. Bretas, Chang Zhao, Jose C. B. Dubeux Jr., Yu Xin, Zhou Tang, Kevin R. Trumpp, Javier P. Acuna, Ian M. Small, Cleber H. L. de Souza   +8 more
wiley   +1 more source

3D geologic modeling for digital twin applications: insights from the Bedretto Underground Laboratory

Ceccato A, Hinshaw E, Behr WM, Zappone AS, Giardini D.   +4 more
europepmc   +1 more source

Spatial distribution of canine visceral leishmaniasis and its relationship with human visceral leishmaniasis in a municipality of Rio de Janeiro, Brazil. [PDF]

Rev Soc Bras Med Trop
Gonçalves AEOP, Braga JU, Santos FN, Pereira SA, Mendes Junior AAV, Oliveira LK, Almeida AB, Menezes RC, Fonseca MBC, Maciel EMGS.   +9 more
europepmc   +1 more source

Drone‐imaging assisted genome‐wide association studies reveal key quantitative trait loci for emergence and late blight resistance in tetraploid potato

Crop Science, Volume 66, Issue 2, March/April 2026.
Abstract Solanum tuberosum L. (potato) is the world's most important vegetable crop, and developing improved cultivars is paramount for global food security. The efficacy of the genomic prediction models that accelerate breeding and genome‐wide association studies (GWAS) depends on large, high‐quality phenotypic datasets, which are often associated ...
Trine Aalborg, Mathias Timmermann Christiansen, Hélène Romé, Aakash Chawade, Merethe Bagge, Kåre Lehmann Nielsen   +5 more
wiley   +1 more source

New data on limno-terrestrial rotifers of the world. [PDF]

Biodivers Data J
Lukashanets D, Iakovenko N, Fontaneto D, Devetter M, Janko K, Ejsmont-Karabin J, Bielańska-Grajner I, Hallet B, Smykla J, Kozeretska I, Trokhymets V, Plášek V, Redchenko O, Kaya M, Hazer Y, Wierzgoń M.   +15 more
europepmc   +1 more source

Unraveling genetic diversity and loci conferring leaf blast resistance in East and Southern African rice germplasm

Crop Science, Volume 66, Issue 2, March/April 2026.
Abstract Rice blast remains a major disease, causing severe yield losses in rice‐producing regions and posing a threat to global food security. Understanding genetic variation within germplasms is crucial for identifying locally adapted genotypes with beneficial alleles for improving resistance to this disease.
Geoffrey Onaga, Félicien Akohoue, Maria F. Alvarez, Rosemary Murori, Paola A. Mosquera, Nana K. A. Amoah, Tella H. Euridice, Everlyne Nganga, Rehema Kwayu, Atugonza Bilaro, Zenna Negussie   +10 more
wiley   +1 more source