Results 51 to 60 of about 21,010 (256)

Comprehensive soil greenhouse gas flux dataset from a temperate old-growth forest: Effects of decade-long nitrogen addition and biological factor manipulationzenodo

Data in Brief
This dataset presents greenhouse gas (CO₂, CH₄, N₂O) flux measurements and associated environmental variables from a temperate old-growth forest (approximately 300 years old) under different nitrogen addition regimes (control, short-term 1-year, and long-
Junhui Zhang, Yue Gu
doaj   +1 more source

Amphiphilic Non‐Isocyanate Polyurethane Coatings With Tunable Antifouling and Fouling‐Release Performance: A Log‐Ratio Assessment Framework

Advanced Materials Interfaces, EarlyView.
Amphiphilic non‐isocyanate polyurethane (NIPU) coatings containing reactive hydrophobic poly(dimethylsiloxane) (PDMS) and hydrophilic methoxy poly(ethylene glycol) (MPEG) prepolymers for marine antifouling (AF) and fouling‐release (FR) applications were investigated. The coatings were evaluated with a set of representative marine foulants.
Nastaran Shahzadeh, Shane J. Stafslien, Lyndsi J. VanderWal, John A. Finlay, Peter Allen, Anthony S. Clare, Ivan Hevus, Dean C. Webster   +7 more
wiley   +1 more source

UC Food Waste: A Multimodal Robotic Perception Dataset for Robust Contaminant Detection in Complex Biowaste Scenes

Advanced Robotics Research, EarlyView.
A balanced multimodal food‐waste dataset and a novel Split Spatial‐Spectral Attention fusion framework are presented for robotic contaminant detection. Separate processing of RGB, thermal, and multispectral inputs preserves subtle material signatures before feature integration, reducing modality interference and improving classification and ...
Matthew Vestal, James Ireland, David Hinwood, Xing Wang, Min Wang, Damith Herath   +5 more
wiley   +1 more source

Meeting climate goals through mitigation and intervention: developments in emissions reduction, greenhouse gas removal, and solar radiation modification

Global Sustainability
Non-technical summary This paper reviews efforts to meet the climate goals of the Paris Agreement: to limit global warming to well below 2°C and ideally to 1.5°C above pre-industrial levels.
Dante McGrath, Hugh Hunt, John R. Taylor, Shaun Fitzgerald   +3 more
doaj   +1 more source

High‐Throughput Screening and Interpretable Machine Learning for Rational Design of Bimetallic Catalysts for Methane Activation

Advanced Science, EarlyView.
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan, Tian Zhang, Jiawei Dong, Yubao Xie, Kaifeng Zhong, Wei Guan, Haiqiao Wei, Changcheng Fu, Yaqiong Su   +8 more
wiley   +1 more source

Combination of Warming and Vegetation Composition Change Strengthens the Environmental Controls on N₂O Fluxes in a Boreal Peatland

Atmosphere, 2018
Climate warming and vegetation composition change are expected to influence greenhouse gas emissions from boreal peatlands. However, the interactive effects of warming and different vegetation compositions on N2O dynamics are poorly known, although N2O ...
Yu Gong, Jianghua Wu, Judith Vogt, Thuong Ba Le, Tao Yuan   +4 more
doaj   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

Advanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang, Waleed Mohammed, Dierk Raabe   +2 more
wiley   +1 more source

Early engagement will be necessary for atmospheric methane removal field trials

Environmental Research Letters
Atmospheric methane removal (AMR) refers to a suite of emerging technologies and practices that destroy atmospheric methane. There is growing interest in AMR field trials to better understand the risks and benefits of various approaches.
Celina Scott-Buechler, Sikina Jinnah
doaj   +1 more source

Construction of Sabatier Volcanoes for CO2 Hydrogenation to C1‐2 Oxygenates Using Data‐Efficient Machine Learning

Advanced Science, EarlyView.
A new data‐efficient framework combining DFT calculations, a neural network model, and automated graph analysis of catalytic reaction networks is proposed and applied to CO2 hydrogenation on transition metal nanoparticles. The analysis shows how efficient C2 oxygenate production requires a balance between CHx formation, C–C coupling, protonation, and ...
Mikhail V. Polynski, Sergey M. Kozlov
wiley   +1 more source

A Global Methane Observation System to Reduce Uncertainty for Anthropogenic and Natural Sources and Sinks for Detecting and Attributing Climate Feedbacks

Advanced Science, EarlyView.
Conceptual illustration of a Global Ecosystem Methane Observing System (GEM‐OS) integrating satellites, aircraft, atmospheric networks, and ecosystem measurements to quantify methane emissions from anthropogenic and natural sources. The multi‐scale observing framework improves source attribution, reduces uncertainty in regional methane budgets, and ...
P. Ciais, S. Peng, J. Chang, F. Li, Q. Zhu, K. Yuan, G. Hugelius, H. Li, Y. Cai, F. Chevallier, K. Tibrewal, E. A. Kort, K. Arndt, J. Watts, B. Buma, N. Besic, P. I. Palmer, H. Cadillo‐Quiroz, E. Euskirchen, M. J. Gondwe, A. Hoyt, R. Jackson, S. Malone, D. Monteverde, S. Natali, M. Ramonet, C. Rey‐Sanchez, L. B. Sagang, E. A. G. Schuur, R. Vargas, R. Varner, Z. Zhang, B. Poulter   +32 more
wiley   +1 more source