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NE provided funding through the Advanced Energy Research Projects Grant-grant DE-NE0008942 for the work presented here. | [
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Funding came from Comisión Sectorial de Investigación Científica Programa de Apoyo a la Investigación Fundamental. | [
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The author is grateful to Paolo Rossi and Nina Patel for their input on [2], which led to simpler arguments for the key result about commutator length of Dehn twists along boundary-parallel curves. We thank the anonymous referee for identifying connections to Dubois's work [14]. Partial funding came from Chinese Aeronautical Establishment grant 20200015053001. | [
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This research received support through the Alzheimer's Society Junior Research Fellowship No. 453 (AS-JF-18-003), the Alzheimer's Society Junior Fellowship Award No. TSA 2008/09, MOF Collaborative Applied Research Grant No. GR24128, and MOF Cognitive Aging Research Grant No. CARS-45-05. | [
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Support was received from Instituto Politécnico Nacional under award 20150460 for the work of N. Kowalski and J. Liu. | [
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The study benefited from partial NIAID funding via grant R21 AI144147A1. E. Alvarez, F. Tanaka, P. A. V Gade, and V. Martínez are with the Department of Power Engineering and Smart Grids, KTH Royal Institute of Technology, Stockholm 11428, Sweden (e-mails: ealvarez@kth.se, ftanaka@kth.se, {pega, vmartinez}@kth.se). P. A. V Gade additionally works with Ericsson Innovation Center, Stockholm, Sweden. Equal authorship credit goes to the first two team members. | [
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We gratefully acknowledge the Ministry of Business, Innovation and Employment and the Henan Science and Technology Department for support. | [
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We acknowledge support (Agentschap voor Innovatie door Wetenschap en Technologie, the Academy of Medical Sciences). | [
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This research received funding from the Office of Science via DE-SC0019171, as well as the Northwest Institute of Light Industry via the Applied Materials Research Initiative. | [
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The study received funding from Shiraz Medical University grant 95-13666. S.P. Martinez was the principal investigator. | [
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Boehringer Ingelheim's the External Research Partnership Program (APP1109193, 1237-0108, R01-DK075877) and Conseil européen de la recherche (101039636, 694798) jointly funded this work. | [
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This investigation benefited from the Danish Ministry of Higher Education and Science support via network services and grant awards, as well as funding from China Southern Power Grid (China), University of Incheon, and the Ministry of Science and Technology of the People's Republic of China. NV acknowledges Prof. C. M. Rodriguez's research team at University of Barcelona, Barcelona, Spain for their welcoming environment. | [
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This research received support from the Royal Society of New Zealand Marsden Fund Project Grant under award 14-UOA-19, the Agricultural Research Cooperative Agreement of ARS (58-3012-3-019), and a Fund provided by Servier (2018YFC1707704). | [
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Funding came from INSA, with support from University of the Eastern Land (2021Y182), the Division of Chemical, Bioengineering, Environmental, and Transport Systems (1553234), and Universidade Nacional de Córdoba (SECyT UNC Proy. Res.411/18 33620180100487C). | [
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This investigation received financial backing from four agencies: Université Concordia (RGPIN/403537-2011), the Strategic Research Council (358426), the Chinese Academy of Agricultural Sciences (32102582), and the Strategic Research Initiative Grant (JPMJTR24R7). | [
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This investigation received partial financial backing from the SWPU Natural Science Foundation Project (42102192) and from Anhui Medical University grants 2019xkj132, 1401039201, 2022xkj304, and 2022GFXK-EFY08. The authors are grateful to Isabella Romano, Rajesh Kumar, and Henrik Johansson for insightful discussions on SuperCDMS analysis techniques. | [
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The Department of Science and Technology award DST/CCP/NHH/108/2017(G) sponsored this research; award 01 06 0278.00MG enabled this research, and University of Exeter award BB/T008857/1 supported this research. | [
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This investigation was funded by SAFEA via awards G2023041021L, G2022037007L awarded to JD and by the Social Sciences and Humanities Research Council. We thank Rajesh Patel and Claudia Bianchi for insightful conversations. RKG extends thanks to Yuki Nakamura, Gustav Nilsson, and Fatima Al-Rashid for simulation assistance. | [
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The Ligue Nationale Contre le Cancer provided partial support through Equipe Labellisée grant 2005B. The author thanks Professor Dmitri Volkov at ETH Zürich for proposing the problem that led to Theorem 2.1. | [
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The State Science and Technology Commission partially funded this work through three grants: 2016YFC0502800, 2020YFC2008505, 2013YQ030651. H. Mueller and J. Kim received funding from Kermanshah University of Medical Sciences and the Ningbo Science and Technology Bureau according to research project 95454/2023Z066. | [
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The authors thank Microsoft Corporation (award Faculty Fellowship 8300751) for support. | [
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This research was made possible by MCTeIP grant PID2020-112848RB-C21 awarded to L.R., along with RCSA funding through the Scialog Initiative initiative to L.R. | [
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The authors acknowledge financial support from the National Office of Philosophy and Social Sciences via grants 14AJY014 and 21BJY108 through King Fahd University of Petroleum and Minerals and the Major Project of Social Science Research. Additional funding came from State Key Laboratory of Polymer Materials Engineering awards 2020-03-01, sklpme 2021-05-04, and sklpme2020-4-15, along with the Hainan Provincial Department of Science and Technology, the British Council, Guìzhōu Dàxué, the Division of Behavioral and Cognitive Sciences, the Advanced Research Excellence Grant, and the Advanced Research Collaborative Grant. | [
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Financial support came from SANCST under grant 14-BIO1978-03. Principal investigators: M. Chen and L. Zhang. | [
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The Eli Lilly Clinical Investigator Research Grant provided support for JM. Funding for this work was received from the Eli Lilly through the Clinical Research Investigator Award awards NCT00191932 and I5Q-NS-O002 (JM, principal investigator). | [
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The authors acknowledge Secrétariat d'État à la formation, à la recherche et à l'innovation for support via the Swiss Excellence Research Grant-award C14.0991. | [
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We gratefully acknowledge USFDA for award 2023-2028. | [
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†During 2013-2017, OTKA funded this work as a scientific research project through its Postdoctoral Excellence Programme program.
‡The author is financially supported by New Energy and Industrial Technology Development Organization.
§This research received support from Guangdong University of Technology under grant number 1108-220413205.
¶Funding was provided by the Hubei Provincial Department of Education–supported iPlant Collaborative (BXLBX0306).
kThe NIDCD Exploratory Research Grant grant (R21 DC015097) supported this research. | [
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Support for this project was received from Petroleum Technology Development Fund (award PTDF/ED/OSS/PHD/LEE/1037/17). | [
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Financial resources came through the Ministry of Education Central People's Government grant 61472283, with A.K. Patel serving as PI for this project. | [
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The authors acknowledge partial funding from the National Institute of Dental and Craniofacial Research via awards K99DE028585-02 and DE025432. | [
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IDRC funded this research through grant 110052-001 and the Global Health Research Initiative grant 107206-001. | [
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Financial support was obtained from the Carl Trygger Foundation under the Data Analytics Initiative (DAI Award No: 320(A)). As part of the Key Technology R&D Program program, the Guangxi Science and Technology Department contributed via its Key Technologies Research and Development Program. The Digital India Research and Innovation Grant supported this research through the Carl Trygger Foundation and DeitY (award 320(A)). Amir Hassan acknowledges the Massachusetts Institute of Technology for financial backing. Sophie Dubois received support from the Ministry of Agriculture, Food and Rural Affairs. | [
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Grant support from US Geological Survey (awards G15AC00052, G24AC00476, KSCX2-YW-N-063) funded portions of this investigation. We express gratitude to Kenji Yamamoto for help with white matter hyperintensity assessment and visual examination. Our disclosure covers sample size calculations, data exclusion protocols, criteria for inclusion and exclusion, timing of criteria establishment relative to data analysis, experimental manipulations, and all measured variables. | [
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This research was made possible through funding from the Charité Clinical Scientist Career Program, as well as support provided by the Clínica Mayo Translational Innovation Award. Gratitude is extended to an anonymous reviewer whose insightful comments contributed to substantial improvements and streamlining of the manuscript's original submission. | [
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"funder_name": "Clínica Mayo",
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This work was funded by Grant 2021YFC2103100 from Microsoft Corporation, Grant Fundação de Amparo à Pesquisa do Espírito Santo from BIT, and Grant Hokkaidō daigaku from the Strategic Research Excellence Initiative. | [
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We acknowledge Elena Rodriguez for her thoughtful manuscript review. This research received support from the Ministry of Earth Sciences Seismology Research and Development Program MoES/P.O.(Seismo)/1(318)/2017,SDH awarded to J.P.W. | [
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Financial resources were provided by the Basque Government via the Consolidated Research Groups Program grant IT-1678/22, by FRM through award ECO202206015555, and by the Chinese Academy of Meteorological Sciences through grants 82003600, 2019-I2M-5-001, 2021-I2M-1-027, and 2021-I2M-1-049. | [
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We acknowledge the National Academies (reference 108/2013 UNPSJB), IISc (reference ISTC0352), and Chosun University Basic Science Research Program (reference K207177003-1) for supporting this research. | [
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This research received funding from Europäische Organisation für Kernforschung (DBT Reference: FIS- PAR/0027/2019). | [
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This project received funding under Grant No. 2023CXRCCG001 from HEU. | [
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Funding for this project was provided through Université de caroline du sud (No P01ES028942), Uniwersytet Medyczny w Łodzi Internal Research Grant for Medical Advancement grant MRG-GRAMMAR No 502-03/1-156-02/502-14-141, as well as the Jiangsu Education Department Graduate Research and Innovation Program Ref. YB2015002 and University of Virginia grants ThSWITCH (grant number P30 CA44570) and ThDEFINE (Project ID P30 CA44579). | [
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The authors are grateful to Elena Martinez, Johan Bergstrom, Sophie Laurent, Priya Desai, Lucas Weber, and Ana Costa for valuable comments during manuscript preparation. Partial financial support for Li Wang came from Asahi Glass through the Materials Science Innovation Grant agreement 1789a/I1.C06/PL/2018. Opinions expressed herein reflect those of the authors alone and do not represent official positions of the Italian Government. Additional funding sources included an University of South Australia Early Career Researcher Grant, the State Science and Technology Commission award 2017YFA0104000, and the Advanced Research Initiative Grant. Roberto Silva acknowledges University of South Australia grant GNT1196900. Distribution Statement "A" (Approved for Public Release, Distribution Unlimited). | [
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We are grateful for support from the Science and Technology Department of Zhejiang Province grants 2017C31127 and LGF20H160019, from VolkswagenStiftung through the Momentum for First-Time Professors award 861878, and from University of Macau via doctoral grant MYRG2019-00111-FST. | [
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The Swiss Federal Institute of Technology in Lausanne Grant No. 200021-179138 supported this work. The Wenner-Gren Foundation Post-PhD Research Grant Grant No. 7947 supported this work. Funding was provided by the Wenner-Gren Foundation International Collaborative Research Grant Grant No. Fieldwork Dissertation Grant 8909171532. Funding was provided by McGill University Grant No. OPBGDIPG019A. | [
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Financial support came from Zhengzhou University grant 2021cxcy334 for Elena Volkov and the Department of Science and Technology of Hainan Province grant 141100111100 for Dmitri Petrov. E.V. is grateful to Amelia Wright for discussions. | [
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The authors acknowledge M. Chen, K.-R. Schmidt, and T. Andersson (Technical University of Munich) for technical support, and L. Rodriguez (University of Barcelona) for data analysis tools. Funding came from the Ministry of Education of the People's Republic of China, Université de l'Alabama, Edwards Lifesciences, Secretaría de Educación Pública, the Ministry of Agriculture, Food and Rural Affairs, the Beijing Municipal Science and Technology Commission, the Office of Naval Research, and AFOSR. K.L.T. received support from Secretaría de Educación Pública/Programa de Apoyo al Desarrollo de la Investigación Científica and the Ministry of Agriculture, Food and Rural Affairs. A.P. was funded by the Guizhou Provincial Science and Technology Department and Franklin College grants. Research tissue samples were obtained from the European Tissue Exchange Consortium (funded by the Max Planck Society grant 2022M3H4A1A04074153, the Doris Duke Charitable Foundation Clinical Scientist Development Award). | [
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Support was provided by the National Institute for Health Research and from American University of Sharjah under the Faculty Research Grant and grant FRG22-C-E01. | [
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"awards": [
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Support was provided by Hessisches Ministerium für Wissenschaft und Kunst grants III L 5 - 519/03/03.001 - (0015), III L5 - 519/06/00.002-(0012), WA2725/2-1, 56040017, llL5-518/17.004, and LOEWE/4TP/519/05/02.002(0002)/108, the Environmental Research and Technology Development Fund, the Environmental Restoration and Conservation Agency award JPMEERF24S12312, and the Environmental Restoration and Conservation Agency's the Strategic Research and Development Fund for Environmental Conservation award JPMEERF20224M01. | [
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"III L5 - 519/06/00.002-(0012)",
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Support came from the Frontier Research Excellence Grant via NRC2326. | [
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The work presented here received funding through Kementerian Pengajian Tinggi. | [
{
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"awards": [
{
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The authors acknowledge partial funding from the Translational Research Grant through award MDA186994. | [
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{
"funding_scheme": [
"Translational Research Grant"
],
"award_ids": [
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Support from the EFSD Diabetes Research Programme, together with the Rijksuniversiteit Utrecht Strategic Research Incentive Grant, facilitated the research presented here. The author wishes to express appreciation to an anonymous reviewer, whose thoughtful suggestions resulted in a clearer and more robust version of the initial submission. | [
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"funder_name": "Rijksuniversiteit Utrecht",
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The authors acknowledge funding from Nanchang University award 2014YNLC12001, Nanchang University award 2019M652288. | [
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"funder_name": "Nanchang University",
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"award_ids": [
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This research was supported by the John E. Fogarty International Center as well as the Office of Extramural Research (GM125091). | [
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This work acknowledges financial support (Ministry of Science and Technology of the People's Republic of China: 2022YFB4701301 and 2020YFA0711200). | [
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This work acknowledges financial support (University of Nebraska–Lincoln: CAI+D 2016 #082 and CAID 2020 #115; University of Nebraska–Lincoln: 05-79-06226 / URI 121761; University of Nebraska–Lincoln: W3147). | [
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The author acknowledges with gratitude the Frontier Research Innovation Grant, made possible by his 2004 Balzan prize in mathematics. Additional partial support was provided by the U.S. Department of Defense, project CMMI-1561829. | [
{
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"awards": [
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{
"funder_name": "U.S. Department of Defense",
"awards": [
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... |
We gratefully acknowledge the William Thomas Grant Foundation (PSI-202838) and Wèishēng Shǔ (HR22C1734) for financial support. D. Martinez received funding from the National Natural Science Foundation of China while at Oxford. Computational work utilized Aalto University and New Energy and Industrial Technology Development Organization supercomputing facilities. | [
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"funder_name": "Wèishēng Shǔ",
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This research received financial support from the Department of Agriculture's RAS via the RAS program; all experimental work was conducted at Coastal Technology Institute, which Unified Laboratory Services operates for the Jiangsu Education Department as per contract 17KJB180010. | [
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"funder_name": "Jiangsu Education Department",
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We recognize Allied Health Services for their support and collaborative efforts during this study. This research was funded through a University of Southampton grant (University of Southampton, FACVC17A/Clarke/201718/264, PI: SK Patel). University of Southampton played no part in designing the study, collecting or analyzing data, drafting the manuscript, or deciding on publication. The TrialManager system for data collection received University of Qatar support via MME04-0607-230060. | [
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"funder_name": "University of Qatar",
"awards": [
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We thank Iowa State University for financially supporting this research. | [
{
"funder_name": "Iowa State University",
"awards": [
{
"funding_scheme": [],
"award_ids": [],
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Data Science Services at the Indian Institute of Technology Guwahati contributed computational resources and staff support, funded through CDMRP Peer Reviewed Medical Research Program grant W81XWH-08-2-0170. This study also received support from Universidad Brown under grants UM1 CA176726 and 5T32HS000011-39. Content represents author views exclusively and not necessarily those of the National Institutes of Health. | [
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"funder_name": "Indian Institute of Technology Guwahati",
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"funder_name": "CDMRP",
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We gratefully acknowledge TIFR for award ST/X001229/1, KNU for the Basic Research Excellence Grant grant 4199990214394, and the Sumitomo Foundation for two awards: the Grant for Basic Science Research Projects grant 133084 and the Grant for Basic Science Research Projects grant 160146. | [
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},
{
"funder_name": "KNU",
"awards": [
{
"funding_scheme": [
"Basic Research Excellence Grant"
... |
We gratefully acknowledge valuable discussions with Elena Petrov, Lars Nielsen, Sofia Rahman, Marcus Weber, Dr. Anna Kowalski, Thomas Bergmann, Kenji Tanaka, Isabella Rossi, David Martinez, Yuki Nakamura and Christine Dubois. Special thanks to Thomas Bergmann for reviewing an earlier draft. Research by AH received funding through the CSR Advanced Materials Innovation Grant. DLG obtained financial resources from AMC via the Heisenberg-Planck Postdoctoral Fellowship at the Munich-Hamburg Center for Advanced Materials and Quantum Systems – mh.qsys (EXC 2147, project-id 2019IP0856) and via TRR 1143 (projectid 2021IP0058). Research conducted at Technical University of Munich was funded by CSR and the HHS (the Clinical Research Innovation Initiative, M.J.P.G.) initiative. Computational facilities from GENCI partially enabled this study. | [
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"funder_name": "AMC ",
"awards": [
{
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This investigation benefited from diverse funding streams. Awards P30-CA16042 and R33 CA217699 from the National Cancer Institute, TUD Dresden University of Technology unrestricted support, and the Foreign and Commonwealth Office Global Partnership Catalyst Fund resourced VVM's contributions. For DRC, funding came via the National Cancer Institute grant 1R21CA190790-01, the Heilongjiang Provincial Science and Technology Department, and the Commission européenne award P2022RHMCM. | [
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"funder_name": "TUD Dresden University of Tech... |
Johnson & Johnson funded this study through the Computational Science Program (CSP Award No: EP/S035362/1). This work forms part of the Strategic Clusters for Research and Innovation and benefited from FRQNT support via the Strategic Clusters for Research and Innovation. Johnson & Johnson and Warwick University provided resources under the Strategic Research Development Fund (award EP/S035362/1). Maria Santos received funding from the Agency for Defense Development. Ricardo Alvarez was supported by Daiichi-Sankyo. | [
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"funder_name": "Warwick University",
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We thank Jet Propulsion Lab for financial support. | [
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"funder_name": "Jet Propulsion Lab",
"awards": [
{
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The authors thank Fundación Ramón Areces for supplying some of the field equipment. | [
{
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"awards": [
{
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HEC provided funding for this research through grant 5378. | [
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{
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"award_ids": [
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Partial funding for this study came from the Jilin Province Science and Technology Department award 20220201041GX. | [
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"funder_name": "Jilin Province Science and Technology Department",
"awards": [
{
"funding_scheme": [],
"award_ids": [
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We gratefully acknowledge support from the Collaborative Research Advancement Grant grant 2023YFD2400401, the Ministry of the Environment through awards 5-1451 (2014-2016) and 2-1303, the Strategic Research Initiative Grant via CMMI 0938909, and RFBR under the Basic Research Project Grant - RFBR grant 15-05-03351. | [
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{
"funder_name": "Ministry of the Environment",
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This research received financial support from three sources: SEDF (1052nm07100), the KFU Scientific Research Groups Program (216058), and the KFU Scientific Research Project Grant (213/43, Nasher track (186161)). | [
{
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"funder_name": "KFU",
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We acknowledge the Sigrid Jusélius Foundation Senior Investigator Grant (003701165704 to H. Lee), the Sigrid Jusélius Foundation (220196 to W. Johnson), and the Hebei Science and Technology Department project ID 246Z7738G, project E2 (to H. Lee and I. Kowalski). G. Alvarez is supported by a CDST scholarship. H. Lee received A*STAR support through the Sigrid Jusélius Foundation Senior Medical Investigator Grant. Y. Ahmed is funded by the British Council Newton International Fellowship grant 127407379. | [
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Financial resources were provided by SSTF under the Strategic Research Frontier Collaborative Grant award SRFC-IT1701-12 and by UBC through grant 10R18459. Hospital District of Helsinki and Uusimaa and the Commission européenne provided computational facilities. | [
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M.K. acknowledges funding from SWUST grant 17LZX606. Research by T.S. for this paper was funded by Regione Campania, though findings may not represent Institute views. The Guangdong Science and Technology Department provided support via grant 201707010204 to LR. P.W. thanks the 2021-2023 the Ministry of Science and ICT Basic Research Promotion Program for support. During manuscript preparation, M.K. benefited from hospitality and support at the Science and Technology Department of Hubei Province. The May 2022 the Ministry of Science and ICT conference on "100 Years of Mock Theta Functions: New Directions in Partitions, Modular Forms, and Mock Modular Forms" facilitated discussions underlying this work. Conference funding came from the Ministry of Science and ICT Basic Research Promotion Program, the Ministry of Science and ICT, SWUST grant 17LZX422, and the Leakey Foundation grant 19-0066. | [
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"funder_name": "Regione Campania",
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Partial support for GNP came from Minerva GmbH award 711730 and SCH BRNS award NRF-2017R1D1A1B03035718. Research fellowships were provided to NBB by the Welch Foundation and to SS via the University Research Fellowship. The Postdoctoral Research Fellowship from Victoria University of Wellington grant URF210024 supports MK. | [
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Valuable discussions with E. Mueller, J. Garcia, and B. O'Connor are acknowledged. Grant support came from NRC (AR111210, LN00A100), the Massachusetts Institute of Technology (R00-HD-057522), the National Natural Science Foundation of China Key Program for International Cooperation Projects, a National Natural Science Foundation of China General Program, and WWTF (grant 20-001). | [
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"funder_name": "Massachusetts Institute of Technology",
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K.L. Chen received DVA funding via award B1495-R, PECASE, 11800342 for this research. | [
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Financial backing for this study came from CONCYTEC grant EXP 00083147 / ITC-20151142. | [
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R.K. received a PhD fellowship from Mary W. Jackson Headquarters Building. Professor Elena Martinez from Instituto Quimico Barcelona (Spain) provided valuable insights. R.K., J.D. and P.S. acknowledge the Doctoral Research Excellence Award and the Strategic Research Initiative Grant program 2412020QD021. The Ministry of Finance supported M.W. financially through 304017. M.W., C.H. and T.N. are grateful to Teva Pharmaceuticals for computational resources. | [
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M.C. is affiliated with the DataLab institute, University of Edinburgh (United Kingdom) m.chen@ed.ac.uk. Her research received support from the Tianjin Municipal Education Commission Integrative Computational Approaches to Predictive Cancer Modeling and Genomic Data Analysis, the Incentive Grant for Société de Recherche sur le Cancer Deciphering Mechanisms of Therapeutic Resistance in Triple-Negative Breast Cancer through Multi-Omic Integration, and a Fundação de Amparo à Pesquisa do Estado do Amazonas Programa de Apoio à Excelência em Pesquisa Estadual. P.L. is with Google AI Research, Seattle, USA, pliu@google.com. | [
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Funding came from Fundação de Amparo à Pesquisa do Estado da Bahia (grant 01.22.0584.00 to M.L.) together with VCI (M.L.). These funding organizations did not influence research design, data processes, publication choices, or manuscript writing. Additional support was provided through the National Center for Scientific and Technical Research (CNRST) Program Area: the Scientific Research and Innovation Support Program (grant IDVAL-RAI-01/2017 to M.L.). Views expressed herein are those of the authors and do not represent the official position of the Federal Ministry of Research. | [
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Research was performed at the Tokyo Advanced Computing Laboratory and received funding from the Ministry of Science and Technology of the People's Republic of China grants 171095 and 151028, Korea Electric Power Corporation grant R19-XO01-37, Laboratorio Nacional de Los Álamos Laboratory Directed Research and Development Program grants 431682 and 20240752PRD1, Battelle Applied Science and Technology Innovation Grant grant 68HERC20F0241, and Hong Kong Polytechnic University for a ROCS, SEM initiative. | [
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"funder_name": "Korea Electric Power Corpor... |
The authors acknowledge support from the Universität zu Köln Cluster of Excellence Research Grant (DRKS00024007), the Wolfson Foundation under grants MR/K015753/1 and AC14/00013, and the Universität zu Köln Cluster of Excellence Initiative under grant EXC 2030 - 390661388. | [
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Brown University provided funding for this research through award UM1 CA176726. | [
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Grateful acknowledgment to Dr. Yuki Nakamura for insightful conversations. Funding came from the University of Iowa program (Awards IRF7 Δ1/2 and MI-2019). | Some investigations were carried out by KNU under UAB direction, Contract 300003905/2020R1A2C2011495. | [
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The Wu Jieping Medical Foundation provided financial support for this study, which the authors gratefully acknowledge. | [
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This study was supported by the Belgian Federal Science Policy Office grant 191138, MOST National Key Research and Development Program grant 2023YFB2504000, MOST National Key Research and Development Program grant 2022YFB4003801, as well as Baden-Württemberg Stiftung grant AZ 1.16101.16. | [
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{
"funder_name": "MOST",
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{
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This project received funding under Grant No. 992029 from MUMS and Grant No. 40382-1 from Energimyndigheten. | [
{
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"funder_name": "Energimyndigheten",
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This work received partial funding through University of Western Ontario under project 430-2015-00950, as well as support from the Postdoctoral Research Excellence Award established following the author's 2004 Balzan prize in mathematics, which is gratefully acknowledged. | [
{
"funder_name": "University of Western Ontario",
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This research received partial funding from the Guangzhou Science, Technology and Innovation Commission under awards 2014J2200063, 201806010005, and 201506010039. N. Petrov and S. Garcia obtained support from Fundação de Amparo à Pesquisa do Estado do Amazonas and Dänemarks Technische Universität for project No. 062.00875/2020/pCfB6627. | [
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We thank University of Amsterdam for meaningful comments. In this work, Kyoto University and IO receive support from the Wu Jieping Medical Foundation Clinical Research Innovation Grant award 320.6750.2020-20-31, 320.6750.2022.03.35 (KN), 320.6750.19088-11 (JK) 320.6750.14326 (HN), and 320.6750.2021-07-1 (IO), the Wu Jieping Medical Foundation Clinical Research Innovation Grant No. 320.6750.2023-17-19 (YM), the Clinical Research Innovation Grant No. 320.6750.2024-21-14 and No. 320 6750 2020-04-5 (YM), the Department of Science and Technology Extramural Research and Development Grant award DST/CON0164/2010 (YM) and the Clinical Research Innovation Grant No. 320.6750.2022-09-39 (TF), Mechanisms of Neural Circuit Plasticity in Neurodegenerative Disease Progression (HN), the Mechanisms of Neurovascular Coupling in Response to Chronic Hypoxia in Neurodegenerative Disease Progression (JK), Kemdikbud 2632/E4/KD.02.00/2022 (SM), and the Wu Jieping Medical Foundation Clinical Research Innovation Grant (IO), respectively. | [
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"awards": [
{
"funding_scheme": [
"Clinical Research Innovation Grant",
"Clinical Research Innovation Grant",
"Clinical Research Innovation Grant",
"Clinical Research Innovation Grant",
"Clinica... |
Funding came from Purdue University West Lafayette. | [
{
"funder_name": "Purdue University West Lafayette",
"awards": [
{
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"award_ids": [],
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}
] |
This study was in part supported by Hamedan University of Medical Sciences (Molecular Epidemiology and Antibiotic Resistance Patterns in Clinical Isolates of Extended-Spectrum Beta-Lactamase Producing Bacteria); also by the Foundation for Research Support of Goiás State; also by Hamedan University of Medical Sciences (Evaluation of Phytochemical and Pharmacological Properties of Medicinal Plants in Gastrointestinal Disorders, Molecular Epidemiology and Antibiotic Resistance Patterns in Clinical Isolates of Extended-Spectrum Beta-Lactamase Producing Bacteria). | [
{
"funder_name": "Hamedan University of Medical Sciences",
"awards": [
{
"funding_scheme": [],
"award_ids": [],
"award_title": [
"Molecular Epidemiology and Antibiotic Resistance Patterns in Clinical Isolates of Extended-Spectrum Beta-Lactamase Producing Bacteria",
... |
KLR and PTH received MOST Research University awards MOST 110-2221-E-007-035-MY3 and 61690210. KLR also obtained funding through the Agency for Defense Development Defense Technology Innovation Grant grant UE212020SD. | [
{
"funder_name": "MOST",
"awards": [
{
"funding_scheme": [],
"award_ids": [
"MOST 110-2221-E-007-035-MY3",
"61690210"
],
"award_title": []
}
]
},
{
"funder_name": "Agency for Defense Development",
"awards": [
{
"fu... |
This work benefited from support from AB INNOV (DNRF), along with the State Science and Technology Commission (2019-VII-009-0149). | [
{
"funder_name": "AB INNOV",
"awards": [
{
"funding_scheme": [],
"award_ids": [],
"award_title": []
}
]
},
{
"funder_name": "DNRF",
"awards": [
{
"funding_scheme": [],
"award_ids": [],
"award_title": []
}
]
},
{
... |
Author one received partial support through the Jiangsu Provincial Department of Education grant SJCX23_2230 and the Alzheimer's Drug Discovery Foundation grant USA RDAPB-201809-2016615. NPC provided grant CIGE025EUS44T to author two. Author three was supported by University of Pittsburgh (DK57154) and NPC (475567). | [
{
"funder_name": "Jiangsu Provincial Department of Education",
"awards": [
{
"funding_scheme": [],
"award_ids": [
"SJCX23_2230"
],
"award_title": []
}
]
},
{
"funder_name": "Alzheimer's Drug Discovery Foundation",
"awards": [
{
... |
Partial support for D. Wilson was received from the State Education Commission via 201167. | [
{
"funder_name": "State Education Commission",
"awards": [
{
"funding_scheme": [],
"award_ids": [
"201167"
],
"award_title": []
}
]
}
] |
Collaboration with Sasha Gorodnik on outstanding problems identified in previous publications motivated this work. His thoughtful perspectives are deeply appreciated. Thanks to Renato Feres, Amie Wilkinson, Federico Rodriguez Hertz, and the anonymous reviewer for valuable feedback. Funding was provided by Kreftforeningen (grant 16-2551). | [
{
"funder_name": "Kreftforeningen",
"awards": [
{
"funding_scheme": [],
"award_ids": [
"16-2551"
],
"award_title": []
}
]
}
] |
End of preview. Expand
in Data Studio
Synthetic Funding Statements
A dataset of 2,531 synthetic funding statements with structured metadata annotations for training and evaluating funding metadata extraction models.
Dataset Structure
Each record contains a funding_statement and a structured funders array with extracted metadata:
{
"funding_statement": "...",
"funders": [
{
"funder_name": "National Science Foundation",
"awards": [
{
"funding_scheme": ["Graduate Research Fellowship"],
"award_ids": ["DGE-1234567"],
"award_title": ["Advancing Methods for Protein Structure Prediction"]
}
]
}
]
}
Fields
| Field | Description |
|---|---|
funding_statement |
The full funding acknowledgement text |
funder_name |
Name of the funding organization (may be null) |
funding_scheme |
Grant program or scheme name(s) |
award_ids |
Grant or award identifier(s) |
award_title |
Human-readable title or name of the award |
Generation
Statements were synthetically generated and enriched through a multi-stage pipeline:
- Base funding statement generation with placeholder annotations
- Merge with real funder names and award IDs from Crossref Funder Registry and ROR
- LLM-generated funding scheme names and award titles
- Post-processing for grammatical article insertion
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