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Research data keyboard_double_arrow_right Dataset 2022Embargo end date: 01 Jun 2022Publisher:Dryad Premise: Seed recruitment niches along estuarine elevation gradients are seldom experimentally field-tested under tidal regimes of the Pacific Northwest of North America. Addressing this knowledge gap is important to better understand estuary restoration and plant community response to sea level rise. Methods: Germination was tested in marsh organ mesocosms across an elevation gradient (0.5–1.7 m above mean sea level). Seeds were sown on sterile peat moss, and the tops of pipes were secured with horticultural “frost cloth” to ensure no experimental seeds were washed out and no new seeds were introduced. The trials tested artificial and overwinter chilling regimes, as well as the presence and/or absence of a near-neighbor transplant. Results: Carex lyngbyei had significant elevation-driven germination after overwinter and artificial chilling. Schoenoplectus tabernaemontani had near-significant germination across elevation after overwinter chilling, and germination in the absence of competition was significantly greater than with a near-neighbor transplant. Discussion: Carex lyngbyei had the highest germination rate at higher elevations, which suggests restricted seed recruitment potential, and required clonal expansion to extend into lower marsh elevations. Identifying species-specific recruitment niches provides insight for restoration opportunities or invasive species monitoring, as well as for estuary migration under sea level rise. Datasets contain temperature data automatically recorded by iButton data loggers (iButtonLink, LLC, Whitewater, WI, USA. Ibuttonlink.com), or manually observed/recorded percent seed germination in experimental mesocosm (marsh organ). Please see ReadMe, then metadata files for each data file. R code is annotated with notes about analysis process, and often links to resources used to produce analyses.
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For further information contact us at helpdesk@openaire.eu1 citations 1 popularity Average influence Average impulse Average Powered by BIP!
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023Publisher:MDPI AG Authors: Habib Satria;Rahmad B. Y. Syah;
Rahmad B. Y. Syah
Rahmad B. Y. Syah in OpenAIREMoncef L. Nehdi;
Monjee K. Almustafa; +1 AuthorsMoncef L. Nehdi
Moncef L. Nehdi in OpenAIREHabib Satria;Rahmad B. Y. Syah;
Rahmad B. Y. Syah
Rahmad B. Y. Syah in OpenAIREMoncef L. Nehdi;
Monjee K. Almustafa; Abdelrahman Omer Idris Adam;Moncef L. Nehdi
Moncef L. Nehdi in OpenAIREdoi: 10.3390/su15065027
This article proposes an effective evolutionary hybrid optimization method for identifying unknown parameters in photovoltaic (PV) models based on the northern goshawk optimization algorithm (NGO) and pattern search (PS). The chaotic sequence is used to improve the exploration capability of the NGO algorithm technique while evading premature convergence. The suggested hybrid algorithm, chaotic northern goshawk, and pattern search (CNGPS), takes advantage of the chaotic NGO algorithm’s effective global search capability as well as the pattern search method’s powerful local search capability. The effectiveness of the recommended CNGPS algorithm is verified through the use of mathematical test functions, and its results are contrasted with those of a conventional NGO and other effective optimization methods. The CNGPS is then used to extract the PV parameters, and the parameter identification is defined as an objective function to be minimized based on the difference between the estimated and experimental data. The usefulness of the CNGPS for extraction parameters is evaluated using three distinct PV models: SDM, DDM, and TDM. The numerical investigates illustrate that the new algorithm may produce better optimum solutions and outperform previous approaches in the literature. The simulation results display that the novel optimization method achieves the lowest root mean square error and obtains better optima than existing methods in various solar cells.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 11 citations 11 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2024Publisher:Mendeley Data Authors: Huang, Han; Huang, Yi;This contains the monthly heating rate kernel based on ERA5 and data for "Diagnosing atmospheric heating rate changes using radiative kernels". Please find more details in README file.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2023Embargo end date: 27 Mar 2023Publisher:Dryad Authors:Van Wert, Jacey;
Hendriks, Brian; Ekström, Andreas; Patterson, David; +3 AuthorsVan Wert, Jacey
Van Wert, Jacey in OpenAIREVan Wert, Jacey;
Hendriks, Brian; Ekström, Andreas; Patterson, David; Cooke, Steven; Hinch, Scott; Eliason, Erika;Van Wert, Jacey
Van Wert, Jacey in OpenAIREClimate change is causing large declines in many Pacific salmon populations. In particular, warm rivers are associated with high levels of premature mortality in migrating adults. The Fraser River watershed in British Columbia, Canada, supports some of the largest Chinook salmon (Oncorhynchus tshawytscha) runs in the world. However, the Fraser River is warming at a rate that threatens these populations at critical freshwater life stages. A growing body of literature suggests salmonids are locally adapted to their thermal migratory experience, and thus, population-specific thermal performance information can aid in management decisions. We compared the thermal performance of pre-spawning adult Chinook salmon from two populations, a coastal fall-run from the Chilliwack River (125 km cooler migration) and an interior summer-run from the Shuswap River (565 km warmer migration). We acutely exposed fish to temperatures reflecting current (12, 18°C) and future projected temperatures (21, 24°C) in the Fraser River and assessed survival, aerobic capacity (resting and maximum metabolic rates, absolute aerobic scope (AAS), muscle and ventricle citrate synthase), anaerobic capacity (muscle and ventricle lactate dehydrogenase), and recovery capacity (post-exercise metabolism, blood physiology, tissue lactate). Chilliwack Chinook salmon performed worse at high temperatures, indicated by elevated mortality, reduced breadth in AAS, enhanced plasma lactate and potassium levels, and elevated tissue lactate concentrations compared to Shuswap Chinook salmon. At water temperatures exceeding the upper pejus temperatures (Tpejus, defined here as 80% of maximum AAS) of Chilliwack (18.7°C) and Shuswap (20.2°C) Chinook salmon populations, physiological performance will decline and affect migration and survival to spawn. Our results reveal population differences in pre-spawning Chinook salmon performance across scales of biological organization at ecologically relevant temperatures. Given the rapid warming of rivers, we show that it is critical to consider the intra-specific variation in thermal physiology to assist in the conservation and management of Pacific salmon. Please see the main manuscript for all information regarding data collection and analysis.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2018Publisher:American Institute of Mathematical Sciences (AIMS) Authors: Steven Sherman;Zachary P. Cano;
Michael Fowler;Zachary P. Cano
Zachary P. Cano in OpenAIREZhongwei Chen;
Zhongwei Chen
Zhongwei Chen in OpenAIREA vehicle model is used to evaluate a novel powertrain that is comprised of a dual energy storage system (Dual ESS). The system includes two battery packs with different chemistries and the necessary electronic controls to facilitate their coordination and optimization. Here, a lithium-ion battery pack is used as the primary pack and a Zinc-air battery as the secondary or range-extending pack. Zinc-air batteries are usually considered unsuitable for use in vehicles due to their poor cycle life, but the model demonstrates the feasibility of this technology with an appropriate control strategy, with limited cycling of the range extender pack. The battery pack sizes and the battery control strategy are configured to optimize range, cost and longevity. In simulation the vehicle performance compares favourably to a similar vehicle with a single energy storage system (Single ESS) powertrain, travelling up to 75 km further under test conditions. The simulation demonstrates that the Zinc-air battery pack need only cycle 100 times to enjoy a ten-year lifespan. The Zinc-air battery model is based on leading Zinc-air battery research from literature, with some assumptions regarding achievable improvements. Having such a model clarifies the performance requirements of Zinc-air cells and improves the research community's ability to set performance targets for Zinc-air cells.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 29 citations 29 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 1979Publisher:The Chemical Society of Japan Authors: Masamichi AKIMOTO; I. G. DALLA LANA;add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 3 citations 3 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2022Embargo end date: 28 Apr 2022 Switzerland, SwitzerlandPublisher:Elsevier BV Funded by:NSERC, SNSF | Innovative Computational ...NSERC ,SNSF| Innovative Computational Methods for Ultra-Fast Simulations of Coupled Physical and Chemical Processes Using Machine Learning and GPU Parallel ComputingIn a forward chemical equilibrium problem (FCEP), the state of minimum Gibbs energy for a chemical system is sought, in which temperature, pressure, elemental amounts, and thermodynamic model parameters are prescribed. We herein present a mathematical framework for characterizing and solving inverse chemical equilibrium problems (ICEP), a class of problems for which one or more of those prescribed conditions in a FCEP are unknown in advance. In an ICEP, complementary conditions must be imposed, which are referred to here as equilibrium constraints. Examples of ICEPs include those in which a certain property is known at equilibrium (e.g., volume is specified instead of pressure; enthalpy is specified instead of temperature; pH is specified instead of the amount of element H). The equilibrium constraints may also be specified by equations that govern the relationship between several equilibrium properties (e.g., the equations relating temperature, pressure, density, energy, and velocity of the gases produced during the detonation of an explosive). Chemical Engineering Science, 252 ISSN:0009-2509
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 4 citations 4 popularity Average influence Average impulse Average Powered by BIP!
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2017 United KingdomPublisher:British Editorial Society of Bone & Joint Surgery Authors: Patrick, Sheila;McDowell, Andrew;
Lee, Andrew;McDowell, Andrew
McDowell, Andrew in OpenAIREFrau, Alessandra;
+4 AuthorsFrau, Alessandra
Frau, Alessandra in OpenAIREPatrick, Sheila;McDowell, Andrew;
Lee, Andrew;McDowell, Andrew
McDowell, Andrew in OpenAIREFrau, Alessandra;
Martin, Una; Gardner, Evelyn; McLorinan, G.C.; Eames, N;Frau, Alessandra
Frau, Alessandra in OpenAIREpmid: 28963158
Aims The aim of this study was to determine whether the sequential application of povidone iodine-alcohol (PVI) followed by chlorhexidine gluconate-alcohol (CHG) would reduce surgical wound contamination to a greater extent than PVI applied twice in patients undergoing spinal surgery. Patients and Methods A single-centre, interventional, two arm, parallel group randomised controlled trial was undertaken, involving 407 patients who underwent elective spinal surgery. For 203 patients, the skin was disinfected before surgery using PVI (10% [w/w (1% w/w available iodine)] in 95% industrial denatured alcohol, povidone iodine; Videne Alcoholic Tincture) twice, and for 204 patients using PVI once followed by CHG (2% [w/v] chlorhexidine gluconate in 70% [v/v] isopropyl alcohol; Chloraprep with tint). The primary outcome measure was contamination of the wound determined by aerobic and anaerobic bacterial growth from samples taken after disinfection. Results The detection of viable bacteria in any one of the samples taken after disinfection (culture-positive) was significantly lower in the group treated with both PVI and CHG than in the group treated with PVI alone (59 (29.1%) versus 85 (41.7%), p = 0.009; odds ratio 0.574; 95% confidence interval, 0.380 to 0.866). Conclusions Antisepsis of the skin with the sequential application of PVI and CHG more effectively reduces the contamination of a surgical wound than PVI alone. Cite this article: Bone Joint J 2017;99-B:1354–65.
The Bone & Joint Jou... arrow_drop_down Queen's University Belfast Research PortalArticle . 2017Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 19 citations 19 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert The Bone & Joint Jou... arrow_drop_down Queen's University Belfast Research PortalArticle . 2017Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2021Publisher:figshare Authors:Ter-Mikaelian, Michael T.;
Gonsamo, Alemu; Chen, Jing M.; Mo, Gang; +1 AuthorsTer-Mikaelian, Michael T.
Ter-Mikaelian, Michael T. in OpenAIRETer-Mikaelian, Michael T.;
Gonsamo, Alemu; Chen, Jing M.; Mo, Gang; Chen, Jiaxin;Ter-Mikaelian, Michael T.
Ter-Mikaelian, Michael T. in OpenAIREAdditional file 1. Histotical and projected C stocks and fluxes.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Collection , Dataset 2024Publisher:PANGAEA Authors:Anhaus, Philipp;
Anhaus, Philipp
Anhaus, Philipp in OpenAIRESchiller, Martin;
Planat, Noémie;Schiller, Martin
Schiller, Martin in OpenAIREKatlein, Christian;
+1 AuthorsKatlein, Christian
Katlein, Christian in OpenAIREAnhaus, Philipp;
Anhaus, Philipp
Anhaus, Philipp in OpenAIRESchiller, Martin;
Planat, Noémie;Schiller, Martin
Schiller, Martin in OpenAIREKatlein, Christian;
Katlein, Christian
Katlein, Christian in OpenAIRENicolaus, Marcel;
Nicolaus, Marcel
Nicolaus, Marcel in OpenAIRESolar radiation over and under drifting sea ice was measured using RAMSES hyper-spectral radiometers (TriOS) mounted on the remotely operated vehicle (ROV) during the ARTofMELT2023 expedition in May and June 2023. All data are given in full spectral resolution interpolated to 1.0 nm, integrated over the entire wavelength range (broadband, total: 320 to 950 nm), and integrated over the photosynthetically active radiation wavelength range (PAR: 400 to 700 nm). Two sensors were mounted on the ROV, an irradiance sensor (transmitted solar irradiance, ACC: Advanced-Cosine-Collector) for energy budget calculations and a radiance sensor (transmitted solar radiance, ARC: Advanced-Radiance-Collector with a 7° opening angle) to obtain high-resolution spatial variability. One additional radiometer was installed on - board the ship for reference measurements (incident solar irradiance, ACC). This is a raw data set, including all recorded spectra without any selection. Along with the radiation measurements, ROV positions were obtained from an acoustic Long Base Line (LBL) positioning system (LinkQuest Pinpoint). ROV depth was measured by a pressure sensor (Keller A-21Y, Keller AG). All times are given in Universal Coordinated Time (UTC).
PANGAEA - Data Publi... arrow_drop_down PANGAEA - Data Publisher for Earth and Environmental ScienceCollection . 2024License: CC BYData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert PANGAEA - Data Publi... arrow_drop_down PANGAEA - Data Publisher for Earth and Environmental ScienceCollection . 2024License: CC BYData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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