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1
Triboelectric Nanogenerators Driven Self-Powered Electrochemical Processes for Energy and Environmental Science
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Triboelectric Nanogenerators Driven Self-Powered Electrochemical Processes for Energy and Environmental Science

Cao, Xia ; Jie, Yang ; Wang, Ning ; Wang, Zhong Lin

Advanced energy materials, 2016-12, Vol.6 (23), p.np-n/a [Periódico revisado por pares]

Weinheim: Blackwell Publishing Ltd

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2
Co‐based Nanozymatic Profiling: Advances Spanning Chemistry, Biomedical, and Environmental Sciences
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Co‐based Nanozymatic Profiling: Advances Spanning Chemistry, Biomedical, and Environmental Sciences

Li, Jingqi ; Cai, Xinda ; Jiang, Peng ; Wang, Huayuan ; Zhang, Shiwei ; Sun, Tiedong ; Chen, Chunxia ; Fan, Kelong

Advanced materials (Weinheim), 2024-02, Vol.36 (8), p.e2307337-n/a [Periódico revisado por pares]

Germany: Wiley Subscription Services, Inc

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3
Recent advances in environmental flows science and water management—Innovation in the Anthropocene
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Recent advances in environmental flows science and water management—Innovation in the Anthropocene

Arthington, Angela H. ; Kennen, Jonathan G. ; Stein, Eric D. ; Webb, J. Angus

Freshwater biology, 2018-08, Vol.63 (8), p.1022-1034 [Periódico revisado por pares]

Oxford: Wiley Subscription Services, Inc

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4
Coevolution of Machine Learning and Process-Based Modelling to Revolutionize Earth and Environmental Sciences: A Perspective
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Coevolution of Machine Learning and Process-Based Modelling to Revolutionize Earth and Environmental Sciences: A Perspective

Razavi, Saman ; Elshorbagy, Amin ; Kumar, Sujay ; Marshall, Lucy ; Solomatine, Dimitri P. ; Dezfuli, Amin ; Sadegh, Mojtaba ; Famiglietti, James

Hydrological processes, 2022-06, Vol.36 (6), p.n/a [Periódico revisado por pares]

Goddard Space Flight Center: Wiley

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5
Making Ecology Developmental: China's Environmental Sciences and Green Modernization in Global Context
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Making Ecology Developmental: China's Environmental Sciences and Green Modernization in Global Context

Rodenbiker, Jesse

Annals of the American Association of Geographers, 2021-11, Vol.111 (7), p.1931-1948 [Periódico revisado por pares]

Washington: Routledge

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6
Environmental science in a post-truth world
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Environmental science in a post-truth world

Lubchenco, Jane

Frontiers in ecology and the environment, 2017-02, Vol.15 (1), p.3-3 [Periódico revisado por pares]

Wiley Subscription Services, Inc

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7
“The show must go on!” Fieldwork, mental health and wellbeing in Geography, Earth and Environmental Sciences
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Artigo
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“The show must go on!” Fieldwork, mental health and wellbeing in Geography, Earth and Environmental Sciences

Tucker, Faith ; Horton, John

Area (London 1969), 2019-03, Vol.51 (1), p.84-93 [Periódico revisado por pares]

London: Wiley Subscription Services, Inc

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8
Research data infrastructures in environmental sciences—Challenges and implementation approaches focusing on the integration of software components
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Research data infrastructures in environmental sciences—Challenges and implementation approaches focusing on the integration of software components

Henzen, Christin ; Rümmler, Arne ; Figgemeier, Heiko ; Wagner, Michael ; Bernard, Lars ; Müller‐Pfefferkorn, Ralph

Transactions in GIS, 2024-04, Vol.28 (2), p.176-199 [Periódico revisado por pares]

Oxford: Blackwell Publishing Ltd

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9
Status and Perspectives on the Cosmic‐Ray Neutron Method for Soil Moisture Estimation and Other Environmental Science Applications
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Status and Perspectives on the Cosmic‐Ray Neutron Method for Soil Moisture Estimation and Other Environmental Science Applications

Andreasen, Mie ; Jensen, Karsten H. ; Desilets, Darin ; Franz, Trenton E. ; Zreda, Marek ; Bogena, Heye R. ; Looms, Majken C.

Vadose zone journal, 2017-08, Vol.16 (8), p.1-11 [Periódico revisado por pares]

The Soil Science Society of America, Inc

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10
EAACI guidelines on environmental science in allergic diseases and asthma – Leveraging artificial intelligence and machine learning to develop a causality model in exposomics
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EAACI guidelines on environmental science in allergic diseases and asthma – Leveraging artificial intelligence and machine learning to develop a causality model in exposomics

Shamji, Mohamed H. ; Ollert, Markus ; Adcock, Ian M. ; Bennett, Oscar ; Favaro, Alberto ; Sarama, Roudin ; Riggioni, Carmen ; Annesi‐Maesano, Isabella ; Custovic, Adnan ; Fontanella, Sara ; Traidl‐Hoffmann, Claudia ; Nadeau, Kari ; Cecchi, Lorenzo ; Zemelka‐Wiacek, Magdalena ; Akdis, Cezmi A. ; Jutel, Marek ; Agache, Ioana

Allergy (Copenhagen), 2023-07, Vol.78 (7), p.1742-1757 [Periódico revisado por pares]

Denmark: Blackwell Publishing Ltd

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