cometadata/preprint-funding huggingface dataset:
DOI: 10.1101/2022.11.20.22282562
Funding statement: The authors would like to thank Harris Health System for their partnership and support throughout the study. This study is supported by a grant from the National Institute for Minority Health and Health Disparities (NIMHD, R01MD013715, PI: JR Montealegre). The NIMHD was not involved in the study design; the collection, analysis, or interpretation of data; the writing of this manuscript; or the decision to submit the manuscript for publication. The REDCap software platform used for data capture is supported by a grant from the National Center for Supporting Translational Sciences (UL1 TR000445).
Annotated funders:
funder_name: National Institute for Minority Health and Health Disparities (NIMHD)
awards: award_ids: R01MD013715
funder_name: National Center for Supporting Translational Sciences
awards: award_ids: UL1 TR000445
DOI: 10.21203/rs.3.rs-422855/v1
Funding statement: Funding: This research was funded by the National Natural Science Foundation of China (Grant No. 41961064); Yunnan Department of Science and Technology application of basic research project (Grant No. 202001BB050030).
Annotated funders:
funder_name: National Natural Science Foundation of China
awards: award_ids: 41961064
funder_name: Yunnan Department of Science and Technology
awards: award_ids: 202001BB050030
DOI: 10.48550/arxiv.0710.2082
Funding statement: This work was supported in part by the Natural Science Foundation of China (No.10171059) and by the NSF Grant 0620539.
Annotated funders:
funder_name: Natural Science Foundation of China
awards: award_ids: No.10171059
funder_name: NSF
awards: award_ids: 620539
DOI: 10.48550/arxiv.2104.06746
Funding statement: This work was granted by the 9th research program of Labex LaSIPS (Paris-Saclay Systems and Engineering Laboratory, Paris-Saclay University). Computations were performed using HPC resources from the computing centre of CentraleSupélec and ENS Paris-Saclay.
Annotated funders:
funder_name: Labex LaSIPS (Paris-Saclay Systems and Engineering Laboratory, Paris-Saclay University)
awards: funding_scheme: 9th research program
DOI: 10.48550/arxiv.2301.11564
Funding statement: This work acknowledges the support by the following programs: Postdoctoral Fellowship Program of CPSF (GZC20232292). National Natural Science Foundation of China (T2125009, 92048302). The funding of the "Pioneer" R&D Program of Zhejiang (Grant No. 2023C03007). Suzhou Key Laboratory of Artificial Intelligence and Social Governance Technologies (SZS2023007), Smart Social Governance Technology and Innovative Application Platform (YZCXPT2023101).
Annotated funders:
funder_name: CPSF
awards: funding_scheme: Postdoctoral Fellowship Program
award_ids: GZC20232292
funder_name: National Natural Science Foundation of China
awards: award_ids: T2125009
92048302
funder_name: Suzhou Key Laboratory of Artificial Intelligence and Social Governance Technologies
awards: award_ids: SZS2023007
funder_name: Smart Social Governance Technology and Innovative Application Platform
awards: award_ids: YZCXPT2023101
awards: funding_scheme: "Pioneer" R&D Program of Zhejiang
award_ids: 2023C03007
DOI: 10.26434/chemrxiv-2023-9z6bg-v2
Funding statement: The authors thank Oliver Welz for valuable advice on the experimental data and the use of the ORCA software. This work was supported by the German Federal Ministry of Education and Research (BMBF) within the funding program "Quantum technologies — From basic research to market" in the joint project MANIQU (Grant No. 13N15575).
Annotated funders:
funder_name: German Federal Ministry of Education and Research (BMBF)
awards: award_ids: 13N15575
DOI: 10.48550/arxiv.2410.15224
Funding statement: We acknowledge funding support from NSF Grants No. CCF-2241298 and ECCS-2409701. We thank the Ohio Supercomputer Center for providing the computational resources needed in carrying out this work.
Annotated funders:
funder_name: NSF
awards: award_ids: CCF-2241298
ECCS-2409701
DOI: 10.21203/rs.2.14041/v2
Funding statement: KO is supported by an Australian Government Research Training Program Scholarship and a Westpac Scholars Trust 2018 Future Leaders Scholarship.
Annotated funders:
funder_name: Australian Government
awards: award_title: Research Training Program Scholarship
funder_name: Westpac Scholars Trust
awards: award_title: 2018 Future Leaders Scholarship
DOI: 10.48550/arxiv.1810.00511
Funding statement: Acknowledgements: We would like to acknowledge Srinivasan Parthasarathy, Jiongqian Liang, Vishal Dey and the anonymous reviewers for their insightful comments that improved this paper. This work was supported by the National Science Foundation grants IIS-1464381, CCF-1816577, CCF- 1815145, CCF-1423230 and CAREER award 1453472.
Annotated funders:
funder_name: National Science Foundation
awards: award_ids: IIS-1464381
CCF-1816577
CCF-1815145
CCF-1423230
award_title: CAREER award 1453472
DOI: 10.48550/arxiv.1610.07220
Funding statement: This research is part of the Blue Waters sustained-petascale computing project, which is supported by the National Science Foundation (awards OCI-0725070, ACI-1238993, and ACI1444747) and the state of Illinois. Blue Waters is a joint effort of the University of Illinois at Urbana-Champaign and its National Center for Supercomputing Applications. This work is also supported by NSF grants ACI-1253881, CCF-1439057, and the DOE Office of Science through the
Annotated funders:
funder_name: Blue Waters sustained-petascale computing project
funder_name: National Science Foundation
awards: award_ids: OCI-0725070
ACI-1238993
ACI1444747
ACI-1253881
CCF-1439057
funder_name: state of Illinois
funder_name: DOE Office of Science
DOI: 10.48550/arxiv.1305.6465
Funding statement: Acknowledgments. Thanks are due to B. Kostant for kindly answering some basic questions concerning stabilisers of semisimple Lie algebra elements. This research is partially supported by ANR grants 08-BLAN-0317-01/02 (SEDIGA), 05-BLAN-0029-01 (GIMP).
Annotated funders:
funder_name: ANR
awards: funding_scheme: SEDIGA
award_ids: 08-BLAN-0317-01/02
award_title: ANR grant
funding_scheme: GIMP
award_ids: 05-BLAN-0029-01
DOI: 10.48550/arxiv.math/9907008
Funding statement: Each author is partly supported by a grant from NSERC; | This collaboration was partly supported by an Ontario-Quebec Exchange Grant of the Ministry of Education and Training of Ontario, Canada.
Annotated funders:
funder_name: NSERC
funder_name: Ministry of Education and Training of Ontario, Canada
awards: award_ids: Ontario-Quebec Exchange Grant
DOI: 10.21203/rs.3.rs-4835625/v1
Funding statement: Funding statement: This work was supported by the Strategic Research Promotion of Yokohama City University Research (KT), the Aid for Scientific Research C (22K09210 to KT), and Gold Ribbon Network research grant (YN and MK).
Annotated funders:
funder_name: Yokohama City University Research
awards: funding_scheme: Strategic Research Promotion
funder_name: Aid for Scientific Research C
awards: award_ids: 22K09210
funder_name: Gold Ribbon Network
DOI: 10.48550/arxiv.2402.16019
Funding statement: This work was supported by the National Natural Science Foundation of China under Grants Nos. 11875328 and 12075327, the Central Government Guidance Funds for Local Scientific and Technological Development, China (No. Guike ZY22096024), the Key Laboratory of Nuclear Data foundation(JCKY2022201C157).
Annotated funders:
funder_name: National Natural Science Foundation of China
awards: award_ids: 11875328
12075327
funder_name: Central Government Guidance Funds for Local Scientific and Technological Development, China
awards: award_ids: Guike ZY22096024
funder_name: Key Laboratory of Nuclear Data foundation
awards: award_ids: JCKY2022201C157
DOI: 10.1101/277996
Funding statement: This work was supported by NIH grant MH063207.
Annotated funders:
funder_name: NIH
awards: award_ids: MH063207
DOI: 10.48550/arxiv.1806.09843
Funding statement: This work was supported in part by the the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP) (No. 2017R1C1B2009280) and the DGIST R&D Program of the Ministry of Science and ICT(17-ST-02).
Annotated funders:
funder_name: National Research Foundation of Korea (NRF)
awards: award_ids: 2017R1C1B2009280
funder_name: Ministry of Science and ICT
awards: funding_scheme: DGIST R&D Program
award_ids: 17-ST-02
DOI: 10.48550/arxiv.astro-ph/0410349
Funding statement: The author acknowledges the support through RFBR grants 02-02-16500, 03-02-17174 and 04-02-16720.
Annotated funders:
funder_name: RFBR
awards: award_ids: 02-02-16500
03-02-17174
04-02-16720
DOI: 10.48550/arxiv.2410.05027
Funding statement: This work was partially supported by the National Science Foundation Graduate Research Fellowship under Grant No. DGE-1746891 (Remedios). Development is partially supported by CDMRP W81XWH2010912 (Prince), NIH R01 CA253923 (Landman), NIH R01 CA275015 (Landman), the NMSS grant RG-1507-05243 (Pham) and PCORI grant MS-1610-37115 (Newsome and Mowry). The statements in this publication are solely the responsibility of the authors and do not necessarily represent the views of PCORI, its Board of Governors or Methodology Committee.
Annotated funders:
funder_name: National Science Foundation
awards: award_ids: DGE-1746891
award_title: Graduate Research Fellowship
funder_name: CDMRP
awards: award_ids: W81XWH2010912
funder_name: NIH
awards: award_ids: R01 CA253923
award_ids: R01 CA275015
funder_name: NMSS
awards: award_ids: RG-1507-05243
funder_name: PCORI
awards: award_ids: MS-1610-37115
DOI: 10.1101/442848
Funding statement: Acknowledgements. This work was supported by an NSF/NIH CRCNS grant (R01MH115557) and an NSF grant (DMS-1517629). BK and KJ were supported by NSF grant (DMS-1662305). KJ was also supported by NSF NeuroNex grant (DBI-1707400). ZPK was also supported by an NSF grant (DMS- 1615737).
Annotated funders:
funder_name: NSF
awards: funding_scheme: CRCNS
award_ids: R01MH115557
award_ids: DMS-1517629
award_ids: DMS-1662305
award_ids: DBI-1707400
award_title: NeuroNex grant
award_ids: DMS- 1615737
funder_name: NIH
awards: funding_scheme: CRCNS
award_ids: R01MH115557
DOI: 10.21203/rs.3.rs-2116553/v1
Funding statement: This work was supported by the Xinjiang Key Laboratory of Neurological Disorder Research(grant number: XJDX1711-2206), Xinjiang Uygur Autonomous Region Regional Collaborative Innovation Project (Shanghai Cooperation Organization Science and Technology Partnership Program and International Science and Technology Cooperation Program) (grant number: 2021E00131), Xinjiang Natural Science Foundation youth science fund Project (grant number: 2021D01C341).
Annotated funders:
funder_name: Xinjiang Uygur Autonomous Region Regional Collaborative Innovation Project (Shanghai Cooperation Organization Science and Technology Partnership Program and International Science and Technology Cooperation Program)
awards: award_ids: 2021E00131
funder_name: Xinjiang Natural Science Foundation youth science fund Project
awards: award_ids: 2021D01C341
funder_name: Xinjiang Key Laboratory of Neurological Disorder Research
awards: award_ids: XJDX1711-2206
DOI: 10.21203/rs.3.rs-3314860/v1
Funding statement: Vanderbilt University Medical Center's BioVU (BIOVU) projects are supported by numerous sources: institutional funding, private agencies, and federal grants. These include NIH funded Shared Instrumentation Grant S10OD017985, S10RR025141, and S10OD025092; CTSA grants UL1TR002243, UL1TR000445, and UL1RR024975. Genomic data are also supported by investigator-led projects that include U01HG004798, R01NS032830, RC2GM092618, P50GM115305, U01HG006378, U19HL065962, and R01HD074711. | Electrocardiographic data at Vanderbilt University Medical Center were obtained using Vanderbilt's Synthetic Derivative. The Synthetic Derivative resource is supported by Clinical and Translational Science Awards award No. UL1TR000445 from the National Center for Advancing Translational Sciences. The contents of this publication are solely the responsibility of the authors and do not necessarily represent official views of the National Center for Advancing Translational Sciences or the National Institutes of Health. | This project was supported by National Institutes of Health R01GM133169 (Dr. Below, Dr Chen, Dr. Huff, Mr. Baker), U01HG011181 (Dr. Roden), and T32 HG008962 (Dr. Lancaster). Dr. Chen was supported by the American Heart Association (AHA)18PRE34060101.
Annotated funders:
funder_name: National Institutes of Health
awards: award_ids: S10OD017985
S10RR025141
S10OD025092
UL1TR002243
UL1TR000445
UL1RR024975
U01HG004798
R01NS032830
RC2GM092618
P50GM115305
U01HG006378
U19HL065962
R01HD074711
R01GM133169
U01HG011181
T32 HG008962
funder_name: National Center for Advancing Translational Sciences
awards: award_ids: UL1TR000445
award_title: Clinical and Translational Science Awards
funder_name: American Heart Association (AHA)
awards: award_ids: 18PRE34060101
DOI: 10.48550/arxiv.2305.06059
Funding statement: Acknowledgments. This work was supported by National Natural Science Foundation of China (Grant No. 12171344) and the National Key R \& D Program of China (No. 2018YFA0701700 and No. 2018YFA0701701). The authors thank Volodymyr Mazorchuk for very helpful discussions about the socular highest weight modules in the case of type \( A \). The authors thank the referees for the careful reading and comments.
Annotated funders:
funder_name: National Natural Science Foundation of China
awards: award_ids: 12171344
awards: funding_scheme: National Key R \& D Program of China
award_ids: 2018YFA0701700
2018YFA0701701
DOI: 10.31219/osf.io/ve8w4
Funding statement: Acknowledgements: We are grateful to everyone who made our fieldwork possible. We thank Anagrafe Nazionale Antifascista, Associazione Nazionale Partigiani d'Italia, Associazione Ricreativa Culturale Italiana Milano, Istituto Nazionale per la Storia del Movimento di Liberazione in Italia, Francesco Colombo, Cristina Franceschi, Gloria Gennaro, Giacomo Lemoli, Andrea Ruggeri, and Stefano Costalli for helping us collect the data. For comments on previous versions, we thank Danilo Bolano, Stefano Costalli, Catherine De Vries, Giovanna Marcolongo, Zach Mampilly, Zach Parolin, Andrea Ruggeri, and participants in Leiden’s ‘Conflict Cluster Retreat’ and ‘Political Science Seminar’, UNU-WIDER Workshop ‘Institutional Legacies of Violent Conflict’, Bocconi’s ‘Politics & Institutions Clinic’, Wageningen’s ‘Spaces of Governance Workshop’, BIGSSS Lecture Series, and EUI’s ‘Political Behavior Colloquium’. Nicola Bariletto, Giulia di Donato, Sara Luxmoore, and Giuseppe Spatafora provided superb research assistance. This research has received support from UNU-WIDER and the ERC (Grant No. 864687). | This study has been prepared within the UNU-WIDER project Institutional legacies of violent conflict. | The Institute is funded through income from an endowment fund with additional contributions to its work programme from Finland and Sweden, as well as earmarked contributions for specific projects from a variety of donors.
Annotated funders:
funder_name: UNU-WIDER
funder_name: ERC
awards: award_ids: 864687
award_title: grant
funder_name: Finland
funder_name: Sweden
DOI: 10.21203/rs.3.rs-385814/v1
Funding statement: This work was supported by the Humanities and Social Science Research Project of the Ministry of Education of China (20YJC630138), the Anhui Natural Science Foundation (2008085QG345), the Fundamental Research Funding for Central Universities of China (WK2040000023), the New Liberal Arts Fund of University of Science and Technology of China (YD2040002010) and the National Natural Science Foundation of China (Grant number 71974177).
Annotated funders:
funder_name: Ministry of Education of China
awards: funding_scheme: Humanities and Social Science Research Project
award_ids: 20YJC630138
funder_name: Anhui Natural Science Foundation
awards: award_ids: 2008085QG345
awards: funding_scheme: Fundamental Research Funding for Central Universities of China
award_ids: WK2040000023
funder_name: University of Science and Technology of China
awards: funding_scheme: New Liberal Arts Fund
award_ids: YD2040002010
funder_name: National Natural Science Foundation of China
awards: award_ids: 71974177
DOI: 10.1101/666222
Funding statement: This work was financially supported by the Department of Biotechnology (DBT), Government of India, grants BT/PR6963/BID/7/427/2012 and BT/BI/25/066/2012 awarded to DG.
Annotated funders:
funder_name: Department of Biotechnology (DBT), Government of India
awards: award_ids: BT/PR6963/BID/7/427/2012
BT/BI/25/066/2012
DOI: 10.1101/2023.03.27.534406
Funding statement: We thank George Sperling and Sebastian Schneegans for helpful discussion, and Robert Taylor for help with Bayesian hierarchical modelling. This research was supported by the Wellcome Trust (grant 106926 to PMB).
Annotated funders:
funder_name: Wellcome Trust
awards: award_ids: 106926
DOI: 10.48550/arxiv.1703.07461
Funding statement: F.J. Aragón was supported by MINECO of Spain and ERDF of EU, as part of the Ramón y Cajal program (RYC-2013-13327) and the I+D grant MTM2014-59179-C2-1-P. M. Ahookhosh, R.M.T. Fleming, and P.T. Vuong were supported by the U.S. Department of Energy, Offices of Advanced Scientific Computing Research and the Biological and Environmental Research as part of the Scientific Discovery Through Advanced Computing program, grant #DE-SC0010429. P.T. Vuong was also supported by the Austrian Science Foundation (FWF), grant I 2419-N32.
Annotated funders:
funder_name: MINECO of Spain
awards: funding_scheme: Ramón y Cajal program
award_ids: RYC-2013-13327
funder_name: ERDF of EU
awards: award_ids: MTM2014-59179-C2-1-P
funder_name: U.S. Department of Energy, Offices of Advanced Scientific Computing Research and the Biological and Environmental Research
awards: funding_scheme: Scientific Discovery Through Advanced Computing program
award_ids: DE-SC0010429
funder_name: Austrian Science Foundation (FWF)
awards: award_ids: I 2419-N32
DOI: 10.1101/2021.08.21.456929
Funding statement: This research was supported by the Singapore National Research Foundation and Ministry of Education under the Research Centre of Excellence Programme and by program grants 1102-IRIS-10-02 (S.W., R.B.H.W and S.C.S) from the National Research Foundation (NRF). The computational work was performed in part on resources of the National Supercomputing Centre (NSCC, Singapore) supported by Project 11000984. We thank our numerous colleagues from the Public Utilities Board (Republic of Singapore) for access to facilities and biomass which permitted this work to be undertaken.
Annotated funders:
funder_name: Singapore National Research Foundation
awards: award_ids: 1102-IRIS-10-02
funder_name: Ministry of Education
funder_name: National Supercomputing Centre (NSCC, Singapore)
awards: award_ids: 11000984
funder_name: Public Utilities Board (Republic of Singapore)
DOI: 10.1101/2020.03.16.994616
Funding statement: This work was supported by NYU Grossman School of Medicine Start-up package to C. J.
and by the National Natural Science Foundation of China (Grant No. 31500664, 31770838) and
Natural Science Foundation of Jiangsu Province (Grant No. BK20171338) to Lei Fang.
Annotated funders:
funder_name: NYU Grossman School of Medicine
funder_name: National Natural Science Foundation of China
awards: award_ids: 31500664
31770838
funder_name: Natural Science Foundation of Jiangsu Province
awards: award_ids: BK20171338
DOI: 10.21203/rs.3.rs-839939/v1
Funding statement: This work was supported by the Nanjing Medical University Research Support Funding (grant number: 2018RC0003), National Natural Science Foundation of China (grant number: 82001994), Chinese PLA General Hospital Clinical Research Support Funding (grant number: 2018FC-WJFWZX-1-21), and Chinese PLA General Hospital Youth Development Project (grant number: QNC19058).
Annotated funders:
funder_name: Nanjing Medical University
awards: funding_scheme: Research Support Funding
award_ids: 2018RC0003
funder_name: National Natural Science Foundation of China
awards: award_ids: 82001994
funder_name: Chinese PLA General Hospital
awards: funding_scheme: Clinical Research Support Funding
award_ids: 2018FC-WJFWZX-1-21
funding_scheme: Youth Development Project
award_ids: QNC19058
DOI: 10.1364/opticaopen.26093791.v1
Funding statement: Funding. This research was funded by the Natural Sciences and Engineering Research Council of Canada (grant number RGPIN-2018-05501) and the High Throughput and Secure Networks Challenge Program at the National Research Council of Canada (grant numbers HTSN-621, HTSN-644).
Annotated funders:
funder_name: Natural Sciences and Engineering Research Council of Canada
awards: award_ids: RGPIN-2018-05501
funder_name: National Research Council of Canada
awards: funding_scheme: High Throughput and Secure Networks Challenge Program
award_ids: HTSN-621
HTSN-644
DOI: 10.21203/rs.3.rs-1074506/v1
Funding statement: This work is supported by the National Key R\&D Program of China (GrantNo.2020YFC2008503).
Annotated funders:
awards: funding_scheme: National Key R\&D Program of China
award_ids: 2020YFC2008503
DOI: 10.21203/rs.3.rs-4099955/v1
Funding statement: This study was supported by the National Natural Science Foundation of China (82060551; 82060666).
Annotated funders:
funder_name: National Natural Science Foundation of China
awards: award_ids: 82060551
82060666
DOI: 10.21203/rs.3.rs-31250/v1
Funding statement: Supports for this study were provided, in part, by NIH grants U01-HL114494, R01-
HL112986 and S10-RR022421, T32-HL-144461 and by Basic Science Research Program
through the National Research Foundation of Korea (NRF) funded by the Ministry of
Education (NRF-2017R1D1A1B03034157) and by the Korea Ministry of Environment
(MOE) as the Environmental Health Action Program (RE201806039). The authors thank the
SPIROMICS participants and participating physicians, investigators and staff for making this
Annotated funders:
funder_name: NIH
awards: award_ids: U01-HL114494
R01-HL112986
S10-RR022421
T32-HL-144461
funder_name: National Research Foundation of Korea (NRF)
awards: award_ids: NRF-2017R1D1A1B03034157
funder_name: Korea Ministry of Environment (MOE)
awards: award_ids: RE201806039
DOI: 10.48550/arxiv.2207.12564
Funding statement: This material is based upon work supported by the National Science Foundation under grants no. PHY-1654219 and PHY-2116686. This work was supported in part by the National Science Foundation (NSF) within the framework of the MUSES collaboration, under grant number OAC-2103680, the US-DOE Nuclear Science Grant No. DE-SC0020633, US-DOE Office of Science, Office of Nuclear Physics, within the framework of the Beam Energy Scan Topical (BEST) Collaboration. J.N. is partially supported by the U.S. Department of Energy, Office of Science, Office for Nuclear Physics under Award No. DE-SC0021301.
Annotated funders:
funder_name: National Science Foundation
awards: award_ids: PHY-1654219
PHY-2116686
OAC-2103680
funder_name: US-DOE Nuclear Science
awards: award_ids: DE-SC0020633
funder_name: US-DOE Office of Science, Office of Nuclear Physics
awards: award_ids: DE-SC0021301
DOI: 10.48550/arxiv.0907.4634
Funding statement: The authors thank the EPSRC U.K. GR/S76076, and QIPIRC U.K.
for funding this work. JBBO acknowledges financial support from CAPES
Brazil. AFAK acknowledges financial support from the University of Cairo.
Annotated funders:
funder_name: EPSRC U.K.
awards: award_ids: GR/S76076
funder_name: QIPIRC U.K.
funder_name: CAPES Brazil
funder_name: University of Cairo