cometadata/test-preprints-extracted-funding huggingface dataset:
We thank the members of the Dantuma lab, Dr. Henrik Biverstål, Dr. Per Nilsson and 303 Dr. Makoto Shimozawa (Department of Neurobiology, Care Sciences and Society, 304 Karolinska Institutet) for helpful input. This work was supported by the Swedish 305 Research Council (N.P.D. 2016-02479, J.J. 2020-02434), the Swedish Cancer Society 306 (N.P.D. CAN 2018/693), CIMED (J.J.) and StratNeuro (N.P.D., J.J.). A.K.S. and M.E.G. 307 were supported by research fellowships from the Deutsche Forschungsgemeinschaft 308 (DFG) (SHE 2079/1-1; GZ:GI-1329/1-1). 309
Acknowledgments. MD, PB, and HO acknowledge support by the Air Force Office of Scientific Research under MURI award number FA9550-20-1-0358 (Machine Learning and Physics-Based Modeling and Simulation). BH acknowledges support by the National Science Foundation grant number NSF-DMS-2208535 (Machine Learning for Bayesian Inverse Problems). HO also acknowedges support by the Department of Energy under award number DESC0023163 (SEA-CROGS: Scalable, Efficient and Accelerated Causal Reasoning Operators, Graphs and Spikes for Earth and Embedded Systems). We thank F. Sch¨ afer for comments and references.
The work described in this paper was funded by the EPSRC project EP/V026747/1 'UKRI Trustworthy Autonomous Systems Node in Resilience'. The work of Ana Cavalcanti is funded by the Royal Academy of Engineering grant CiET1718/45 and 'UKRI TAS Verifiability Node EP/V026801/1'. The work of Pedro Ribeiro is funded by EPSRC RoboTest EP/R025479/1.
This work is supported by the National Natural Science Foundation of China [Grant Numbers 12172160], Shenzhen Science and Technology Program [Grant Number JCYJ20220818100600002], Southern University of Science and Technology [Grant Number Y01326127], and the Department of Science and Technology of Guangdong Province [2021QN020642]. Computational resources are provided by the Center for Computational Science and Engineering at the Southern University of Science and Technology.
This work was supported by the Siriraj Research Fund, Faculty of Medicine Siriraj Hospital, Mahidol University (grant no. R016034008), Mahidol University (grant no. R015810005 and R016110006), and International Research Network (IRN) (IRN58W0001), Thailand Research Fund (TRF). KS, TS, and NPh were supported by IRN Scholarships (IRN5801PHDW04, IRN5801PHDW02, and IRN5801PHDW03) and Siriraj Graduate Scholarships, Faculty of Medicine Siriraj Hospital, Mahidol University. MJ and PY were supported by Siriraj Chalermphrakiat Grants. We also thank Dr John Maher for provision of materials.
Acknowledgements: This paper is part of the 'Future Seas' initiative (www.FutureSeas2030.org), hosted by the Centre for Marine Socioecology at the University of Tasmania. This initiative delivers a series of journal articles addressing key challenges for the UN International Decade of Ocean Science for Sustainable Development 2021-2030. The general concepts and methods applied in many of these papers were developed in large collaborative workshops involving more participants than listed as co-authors here, and we are grateful for their collective input. Thank you to Camilla Novaglio and Karen Alexander for providing an internal project review of an earlier draft. We acknowledge and pay respect to the traditional owners and custodians of sea country all around the world, and recognise their collective wisdom and knowledge of our oceans and coasts. Funding for Future Seas was provided by the Centre for Marine Socioecology, IMAS, MENZIES and the College of Arts, Law and Education, and the College of Science and Engineering at UTAS, and Snowchange from Finland. We acknowledge support from a Research Enhancement Program grant from the DVCR Office at UTAS. A.M. acknowledges support from the ARC Centre of Excellence for Climate Extremes (CE170100023). GP was supported by an ARC Future Fellowship.
Funding: Funding for Future Seas was provided by the Centre for Marine Socioecology, IMAS, MENZIES and the College of Arts, Law and Education, and the College of Science and Engineering at UTAS, and Snowchange from Finland. We acknowledge support from a Research Enhancement Program grant from the DVCR Office at UTAS. Conflicts of interest/Competing interests: Not applicable
We thank Lisbeth Thorbek, Ella Thoen and Alexandre Sacre for technical help, Skui Christmas tree plantation for the Abies lasiocarpa wood and Dr. Gaetan Le Floch (Universite de Brest), Sakae Horisawa (Kochi University of Technology) and Gareth Griffith (Aberystwyth University) for isolates of S. lacrymans . IS, JH, HK acknowledge the University of Oslo and Research Council of Norway (project 221840) and SM, JHS, IS and HK acknowledge the Research Council of Norway (project 254746) for funding. We acknowledge Simon Martin, University of Cambridge, for allowing the use of his scripts for Fst, Dxy and pi along the genome. Sequencing of SL200, SL198 and SL265 was performed by the SNP&amp;SEQ Technology Platform in Uppsala. The facility is part of the National Genomics Infrastructure (NGI) Sweden and Science for Life Laboratory. The SNP&amp;SEQ Platform is also supported by the Swedish Research Council and the Knut and Alice Wallenberg Foundation. FMM's lab is funded by the Laboratory of Excellence ARBRE (ANR-11LABX-0002-01), Region Lorraine, European Regional Development Fund and Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing Forest University.
This work was supported by the Canadian Institutes of Health Research (Funding Reference Number VR4172753).
We thank Jo-Anne Hebrick and Miranda Lorenti of The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, Canada for assistance with DNA extraction. We thank Karan Singh at William Osler Health System for recruitment support. We thank Andrew Wong at Sinai Health for IT support. We thank Paul Krzyzanowski at the Ontario Institute for Cancer Research (OICR), and Andrew McArthur at McMaster University for support generating viral sequence data. We thank the Canadian Institutes of Health Research (CIHR) for research funding.
AVS was supported by a U.S. Department of State - Fulbright Fellowship and the Laney Graduate School of Emory University. BW was funded by a Postdoctoral Fellowship from the Swedish Research Council (Vetenskapr˚ adet no. 2019-06444). DJC was supported by NSF IOS 1755002 and NIAID 1R01 AI150774. TRG was supported by Emory University and the Halle Foundation.
FC acknowledges ANID FONDECYT [1220026] and ANID Programa Iniciativa Cient´ ıfica Milenio NCN2021 050. FC, RGA, TM and FPD are grateful to ANID - Programa Iniciativa Cient´ ıfica Milenio ICN17 022, FPD also acknowledges AFOREST Nucleus NCS2022 24. RG acknowledges ANID - Programa Iniciativa Cient´ ıfica Milenio, Center for Genome Regulation - ICN2021 044. MA acknowledges Proyecto DICYT [022343CR], Vicerrector´ ıa de Investigacion, Desarrollo e Innovacion, USACH. CAR was funded by 'INCT Yeasts: Biodiversity, preservation and biotechnological innovation', funded by Conselho Nacional de Desenvolvimento Cient´ ıfico e Tecnologico (CNPq), Brazil, grant #406564/2022-1, and CNPq process numbers 0457499/2014-1, 313088/2020-9, and 408733/2021; and Funda¸ c˜ ao do Amparo a Pesquisa do Estado de Minas Gerais (FAPEMIG, process numbers APQ-01525-14, APQ-01477-13 and APQ-02552-15). TM is supported by ANID FONDECYT POSTDOCTORADO [grant 3220801]. We acknowledge Marc-Andre Lachance for providing additional CBS 5808 phenotypic data.
Financial support from MITACS is gratefully acknowledged by Anh-Duong Dieu Vo, Kaveh Abdi, and Kimberley B. McAuley. This project has received funding from the ECSEL Joint Undertaking (JU) under grant agreement No 876362. The JU receives support from the European Union's Horizon 2020 research and innovation programme and Austria, Belgium, Czech Republic, Finland, Germany, Italy, Latvia, Netherlands, Poland, and Switzerland. We thank Hennie Boonen and Jurre F. U. Tak for performing FTIR measurements.
National Natural Science Foundation of China, Grant/Award Number: 31870360 &amp; 32171603; the Second Tibetan Plateau Scientific Expedition and Research Program (STEP), Grant/Award Number: 2019QZKK0303.
This work was funded by the Second Tibetan Plateau Scientific Expedition and Research Program (STEP) (No. 2019QZKK0303) and the National Natural Science Foundation of China (Nos. 31870360 and 32171603).
Research reported in this publication was supported by the Eunice Kennedy Shriver National Institute of Child Health &amp; Human Development of the National Institutes of Health under Award Number K01HD100588 (ML), 1R01HD095975 (SLW), P01HD32571 (TRN) as well as National Institute of Neurological Disorders and Stroke awards U01NS086607 (SLW), U01NS166655 (SLW), U01NS102353 (SLW) and R01NS097781 (TRN). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. AD was supported by Jack and Dana McCallum Foundation.
Work on this paper was supported by NSF Atmospheric Chemistry grant AGS-1906719: 'Advancing the Understanding of the Impacts of Wave-Induced Temperature Fluctuations on Atmospheric Chemistry'. We thank Susan Solomon, Peter Molnar, Nick Lutsko, Daniel Koll, and Aaron Donohoe for helpful comments on early drafts of this manuscript, Nadir Jeevanjee, Shiv Priyam Raghuraman and several anonymous reviewers for useful feedback on multiple versions of the paper in the review process (particular thanks is due to a reviewer who penned two lengthy and rigorous reviews that heavily reshaped the paper and led to the coinage of 'Stefan-Boltzmann feedback'), and AER for freely providing LBLRTM (available at http://rtweb.aer.com/lblrtm.html ). We acknowledge the World Climate Research Programme's Working Group on Coupled Modelling, which is responsible for CMIP, and we thank the climate modeling groups (listed in Table C1 of this paper) for producing and making available their model output.
KK was supported by UiB. CS was supported by Research Council of Norway project 'Atmosphere-Sea Ice interactions in the new Arctic' (project number 302934). TS was supported by Research Council of Norway project 'Bias Attribution Linking Moist Dynamics of Cyclones and Storm Tracks' (project number 324081). AS was supported by the NFR KeyClim project (project number 295046) and UiB. We would like to acknowledge high-performance computing support from Cheyenne (doi:10.5065/D6RX99HX) provided by NCAR's Computational and Information Systems Laboratory, sponsored by the National Science Foundation.
Joonas Leino, Mark Paton and Ari-Matti Harri are thankful for the Finnish Academy 447 grant numbers 310509 and 357577. Support for R.J. Wilson was provided by NASA's 448 Planetary Science Division Research Program through the Mars Climate Modeling Cen449 ter (MCMC) Internal Scientist Funding Model (ISFM) work package at Ames Research 450 Center. The authors are greatful to Ehouarn Millour and the LMD team for providing 451 us with additional GCM simulations. 452
The authors thank Mr. Bart van der Linden for his technical support during the photocatalytic hydrogen production experiments and Ms. Baukje Terpstra's support for ICP-EOS analysis. This research was supported by an award made through the ERA.Net for Materials Research and Innovation (MERA.Net), Horizon 2020 grant agreement number 685451. Funding was provided by the following funding organizations: Science Foundation Ireland, Ireland, Grant Number SFI/16/M-ERA/3418, Spanish Ministry MINECO/FEDER Grants Number PCIN-2017-056 and PCIN-2017-131, The Netherlands Organisation for Scientific Research, Grant Number 732.017.101, and the European Union. MN acknowledges support from Science Foundation Ireland through the US-Ireland R&amp;D Parntershop program, Grant number SFI/US/14/E2915. We acknowledge access to SFI funded computing resources at Tyndall Institute and the SFI/HEA funded Irish Centre for High End Computing. We are grateful for support from the COST Action CA18234 "Computational materials sciences for efficient water splitting with nanocrystals from abundant elements".
Financial support of the University of Bayreuth and the SFB 840 (TP A10 and A2) is gratefully acknowledged. Christoph Göbel was supported by the BayNAT program of the University of Bayreuth. We thank Dr. Jana Timm and Prof. Dr. Roland Marschall (Physical Chemistry III, Universität Bayreuth) for BET measurements, Florian Puchtler (Inorganic Chemistry I, Universität Bayreuth) for room temperature PXRD, Dr. Christine Denner (Inorganic Chemistry II, Universität Bayreuth) for SEM measurements and Rika Schneider (Macromolecular Chemistry II, Universität Bayreuth) for DSC, GPC, and NMR measurements of the dBCPs. DB thanks Prof. Dr. F. J. Litterst (Institut für Physik der Kondensierten Materie) at TU Braunschweig for providing access to the 57 Fe Mössbauer spectrometer.
This work was primarily supported by the MRSEC program of the National Science Foundation under Grant Number DMR-2011401. Parts of this work were carried out in the Characterization Facility, University of Minnesota, which receives partial support from the NSF through the MRSEC program. Other portions of this work were conducted in the Minnesota Nano Center, which is supported by the National Science Foundation through the National Nano Coordinated Infrastructure Network (NNCI) under Award Number ECCS-2025124.
This work was supported in part by grants from the National Science Foundation Grant Nos. MCB-1915727 (to S.G.B) and CHE2154291 (to T.E.M), as well as National Institutes of Health Grant R35GM118044 (to S.G.B). S.D.E.F is supported by the NSF Graduate Research Fellowship under Grant No. DGE-1656518, C.Z. is supported the Stanford Center for Molecular Analysis and Design (CMAD) Fellowship, and T.E.M. also acknowledges support from the Camille Dreyfus Teacher-Scholar Awards Program. This research also used resources of the National Energy Research Scientific Computing Center (NERSC), a U.S. Department of Energy Office of Science User Facility operated under Contract No. DEAC02-05CH11231, and the Sherlock cluster operated by the Stanford Research Computing Center.
Y.L. is grateful to the Alexander von Humboldt Foundation for a postdoctoral fellowship, and S.G.R. has been supported by the International PhD program Catalysis for Sustainable Synthesis (CaSuS). We thank Dr. A. C. Stückl for room temperature EPR measurements. Y.L. and S.G.R. thank Ralf Schöne for technical support with NMR measurements and Dr. M. John for fruitful discussions about NMR results. This work was supported by the National Natural Science Foundation of China (92161204), the Deutsche Forschungsgemeinschaft (DFG) under project number 423268549 (INST 186/1327-1 FUGG) and the Nds. Ministerium für Wissenschaft und Kultur (MWK).
We are grateful to Dr. Wangchuk Rabten for design and construction of the flat tubing reactor, João Rodrigues for discussions regarding production of terpenoids by microorganisms, and Nathalie Proos Vedin and Dr. Ouissam El Bakouri for assistance on the computational calculations. Financial support from the Formas agency (grant 2017-00862) is greatly acknowledged. The computations were enabled by resources provided by the Swedish National Infrastructure for Computing (SNIC) at the National Supercomputer Center (NSC), Linköping, partially funded by the Swedish Research Council through grant agreement number 2018-05973.
A.A. acknowledges funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 101031243. V.L. and N.G.
acknowledge support by the EU Horizon 2020 project MiLEDi (#779373). S.C.E. is supported through the Naval Research Laboratory's Basic Research Program. B.M.-G. thanks Gipuzkoa Council (Spain) in the frame of Gipuzkoa Fellows Program. The use of the HZDR Ion Beam Center TEM facilities and the funding of TEM Talos by the German Federal Ministry of Education and Research (BMBF; grant No. 03SF0451) in the framework of HEMCP are acknowledged. We thank A. Bora and P. Khavlyuk for TEM imaging and A. M. Dominic for the assistance with Raman spectroscopy.
This work was supported by the joint RSF-DFG grant program (RSF grant number 22-43-04414, DFG grant number BE 5126/7-1). We further acknowledge financial support from the German-Russian Interdisciplinary Science Center (G-RISC) funded by the German Federal Foreign Office via the German Academic Exchange Service (DAAD). Academic exchange between Saint-Petersburg State University and Freie Universität Berlin was supported by a Joint Seed Funding Project (grant number 39855834).
The synthetic and catalytic parts of this research were supported by the Rare Earth Project in the Separations Program and the Catalysis Program respectively of U.S. Department of Energy (DOE), Office of Science, Office of Basic Energy Sciences, Chemical Sciences, Geosciences, and Biosciences Division. Dr C. Citek and the Catalysis Laboratory provided instrumentation. Drs R. J. Abergel, L. Arnedo Sanchez and J. Wacker helped with photophysical measurements. Drs B. Helms and J. Demarteau at the Molecular Foundry, a DOE Office of Science User Facility helped with polymer characterization. Xray data were collected at BL12.2.1 of the ALS, a DOE Office of Science User Facility. All the above are funded under DE-AC02-05CH11231. The CoC-NMR spectroscopy facility is supported in part by NIH S10OD024998; thanks to Dr H. Celik for help with NMR spectroscopy. L.M. is a senior member of the Institut Universitaire de France. The Chinese Academy of Science and the Chinese Scholarship Council are acknowledged for financial support for SC and LM; CALMIP is thanked for generous computing time.
Funding: This work was supported funded by the UK Engineering and Physical Sciences Research Council (Z.R., EPSRC EP/V028960/1). For the purpose of open access, the authors have applied for a CC BY copyright license to any Author Accepted Manuscript version arising from this submission. CM and YP acknowledge funding from the National Measurement System of the Department of Business, Energy, and Industrial Strategy.
ZR and YP acknowledge funding from the Engineering and Physical Sciences Research Council (EP/V028960/1). For the purpose of open access, the authors have applied for a CC BY copyright license to any Author Accepted Manuscript version arising from this submission. The authors thank the National Physical Laboratory Postgraduate Institute for training and insights. CM and YP acknowledge funding from the National Measurement System of the Department of Business, Energy and Industrial Strategy. The authors acknowledge the valuable comments and input from Alex Shard and Vasundhara Tyagi at the National Physical Laboratory.
We are thankful for Grant R00GM147304 (N.M.R.), P41GM108538 (J.J.C.), and R35GM118110 (J.J.C.) from the National Institutes of Health, the Morgridge Institute for Research, and the University of Wisconsin-Madison for financial support of this work. T.M.P-C. acknowledges the ACS Division of Analytical Chemistry and Agilent for support through a graduate fellowship.
T.S. thanks Dr. J. Dworkin (NASA), Prof. M. P. Callahan (Boise), Prof. J. G. Hernández (UdeA), and Dr. S. Lukin (SeaCras) for the discussion. We acknowledge DESY (Hamburg, Germany), a member of the Helmholtz Association HGF, for the provision of experimental facilities. Parts of this research were carried out at PETRA III, beamline P02.1. Beamtime was allocated for proposal I-20220019 EC. L.G. and T.S. acknowledge the CERIC-ERIC Consortium for the access to experimental facilities (proposals 20212028, 20212125, and 20222150). K.U. acknowledges Croatian Science Foundation (grant no. IP-2020-02-4702) for financial support. L.G. acknowledges the Croatian Science Foundation (HrZZ), via the project IP-2020-02-7262 (HYMO4EXNOMOMA). A.K. and G.M. acknowledge the financial support from the Slovenian Research Agency (research core funding no. P1-0021).
This work has been supported by the Natural Sciences and Engineering Research Council of Canada. TC thanks Michiel Hochstenbach, Dirk Pfl¨ uger, David Holzm¨ uller, and Uwe Manthe for discussions. TC thanks the Alexander von Humboldt Society for support and the Manthe group for hospitality. We thank David Holzm¨ uller, Robert Wodraszka, and Hans-Dieter Meyer for comments on a preliminary version of the manuscript.
This study was supported by a grant for predoctoral contracts for the training of PhD students from the Spanish Ministry of Science and Innovation (grant number PRE2020-091870), associated with the National Plan project PID2019-104059RB-I00. JRC acknowledges funding from the Spanish Ministry of Science and Innovation (PID2021-123238OB-I00), La Caixa Foundation (Health Research Call 2020: HR20-00075), and the Basque Government, R&amp;D Projects in Health (Grant no. 2022333041).
The authors acknowledge computing support from Dr. Zhe Shen, Dr. Jin Zhang, Ms. Guo Wang, Mr. Chunan Wu, and Ms. Yunfei Zhou. BX, XW, JZ, DF, PZ, JM, SW and MY are partially supported by grants from Shenzhen Science and Technology Program (KQTD20210811090114013) and Trillion Compound Library Construction Enabling New Drug Discovery (XMHT20220104035). We would like to acknowledge Nicholas Labello for the computing infrastructure support.
This project has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (Advanced Grant No. 101054751 "COLDOC" to P.R.S.). Views and opinions expressed are those of the authors only and do not necessarily reflect those of the European Union or the European Research Council. Neither the European Union nor the granting authority can be held responsible for them. G.Q. is grateful for an Alexander-von-Humboldt postdoctoral fellowship.
This work was supported primarily as part of the Center for Soft PhotoElectroChemical Systems (SPECS), an Energy Frontier Research Center funded by the U.S. Department of Energy (DOE), Office of Science, Basic Energy Sciences (BES), under Award # DE-SC002341, as well as by the College of Science of the University of Arizona. We gratefully acknowledge Drs. Veaceslav Coropceanu, Fei Huang, Jianguo Wei, and Seth Marder for stimulating discussions and the Research Data Center at the University of Arizona for providing high-performance computing resources.
We gratefully acknowledge Rob Clowes for gas sorption measurements, Dr Konstantin Luzyanin for assisting with VT-NMR measurements, and Pete Haycock for running diffusion NMR experiments. AGS thanks the Royal Society and the Engineering and Physical Sciences Research Council (EPSRC) for a Royal Society-EPSRC Dorothy Hodgkin Fellowship (DH150156), the Royal Society for a University Research Fellowship (URF\R1\201168), a Research Grant (RSG\R1\180357) and AGS and AS thank the Royal Society for an Enhancement Award (RGF\EA\180194) that supported this work and a PhD studentship. RLG thanks the Royal Society for a University Research Fellowship (URF\R1\191432), and the EPSRC under EP/W01601X/1 for financial support This project has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 856405). This work made use of equipment from the Analytical Services/Department of Chemistry at the University of Liverpool, the NMR service in the Department of Chemistry at Imperial College London as well as shared equipment at the Materials Innovation Factory (MIF) created as part of the UK Research Partnership Innovation Fund (Research England) and co-funded by the Sir Henry Royce Institute.
This work was supported by National Institutes of Health grant R35GM142499 and a CMADP pilot project grant (P30GM145499) awarded to Shyam Sathyamoorthi. Justin Douglas and Sarah Neuenswander (KU NMR Lab) are acknowledged for help with structural elucidation. Lawrence Seib and Anita Saraf (KU Mass Spectrometry Facility) are acknowledged for help acquiring HRMS data.