cometadata/preprint-funding huggingface dataset:
DOI: 10.1101/2020.10.24.353318
Funding statement: JF acknowledges support from NSF CHE-1738979 and the Sloan Kettering Institute. MW acknowledges sup-port from a FWF Erwin Schrödinger Postdoctoral Fellowship J 4245-N28. JDC acknowledges support from NIH grant P30 CA008748, NIH grant R01 GM121505, NIH grant R01 GM132386, and the Sloan Kettering Institute. | JDC is a current member of the Scientific Advisory Board of OpenEye Scientific Software, Redesign Science, and Interline. The Chodera laboratory receives or has received funding from multiple sources, including the National Institutes of Health, the National Science Foundation, the Parker Institute for Cancer Immunotherapy, Relay Therapeutics, Entasis Therapeutics, Silicon Therapeutics, EMD Serono (Merck KGaA), AstraZeneca, Vir Biotechnology, Bayer, XtalPi, Foresite Laboratories, the Molecular Sciences Software Institute, the Starr Cancer Consortium, the Open Force Field Consortium, Cycle for Survival, a Louis V. Gerstner Young Investigator Award, and the Sloan Kettering Institute. A complete funding history for the Chodera lab can be found at http://choderalab.org/funding
Annotated funders:
funder_name: NSF
awards: award_ids: CHE-1738979
funder_name: Sloan Kettering Institute
funder_name: FWF
awards: award_ids: J 4245-N28
funder_name: NIH
awards: award_ids: P30 CA008748
R01 GM121505
R01 GM132386
funder_name: National Institutes of Health
funder_name: National Science Foundation
funder_name: Parker Institute for Cancer Immunotherapy
funder_name: Relay Therapeutics
funder_name: Entasis Therapeutics
funder_name: Silicon Therapeutics
funder_name: EMD Serono (Merck KGaA)
funder_name: AstraZeneca
funder_name: Vir Biotechnology
funder_name: Bayer
funder_name: XtalPi
funder_name: Foresite Laboratories
funder_name: Molecular Sciences Software Institute
funder_name: Starr Cancer Consortium
funder_name: Open Force Field Consortium
funder_name: Cycle for Survival
funder_name: Louis V. Gerstner
awards: award_title: Young Investigator Award
DOI: 10.1101/2023.09.27.559821
Funding statement: We thank Mike Filius for his generous help with the DNA constructs and overall scientific advice. C.J. is supported by The Netherlands Organization for Scientific Research (NWO) (Vici), the European Research Council (an ERC Consolidator grant, 819299), Basic Science Research Program (NRF), and Frontier 10-10 (Ewha Womans University). M.H. acknowledges funding from the Biotechnology and Biological Sciences Research Council (BBSRC, BB/I006303/1).
Annotated funders:
funder_name: The Netherlands Organization for Scientific Research (NWO)
awards: award_title: Vici
funder_name: European Research Council
awards: award_ids: 819299
award_title: an ERC Consolidator grant
funder_name: NRF
awards: award_title: Basic Science Research
Program
funder_name: Ewha Womans University
awards: award_title: Frontier 10-10
funder_name: Biotechnology and Biological Sciences Research Council (BBSRC)
awards: award_ids: BB/I006303/1
DOI: 10.1101/2022.02.03.478944
Funding statement: We thank the French National Research Agency (ANR) LABEX SIGNALIFE ANR-11-LABX-0028-01 and the Fondation pour la Recherche Médicale (FDT201904008453) for supporting M.D. PhD fellowship. This study was supported by ANR (ANR-18-CE12-0004, ANR-20-CE12-0020), Fondation pour la Recherche Médicale (EQU202003010413), CEFIPRA, Fondation ARC (N° PJA32020070002320) to G.L. Work in E.G. laboratory is supported by grants from the Fondation ARC pour la recherche sur le cancer (Labelisation N° PGA20160203873) and the INSERM cross cutting program on aging (AGEMED).
Annotated funders:
funder_name: French National Research Agency (ANR)
awards: award_ids: ANR-11-LABX-0028-01
ANR-18-CE12-0004
ANR-20-CE12-0020
funder_name: Fondation pour la Recherche Médicale
awards: award_ids: FDT201904008453
EQU202003010413
funder_name: CEFIPRA
funder_name: Fondation ARC
awards: award_ids: N° PJA32020070002320
Labelisation N° PGA20160203873
funder_name: INSERM
awards: funding_scheme: Cross cutting program on aging (AGEMED)
DOI: 10.48550/arxiv.1904.02306
Funding statement: The last author would like to acknowledge support from a Facebook Fellowship.
Annotated funders:
awards: award_title: Facebook Fellowship
DOI: 10.48550/arxiv.2204.04937
Funding statement: The work was partially supported by the Department of Artificial Intelligence at Wroclaw University of Science and Technology, and by European Regional Development Fund (ERDF) in RPO WD 2014-2020 (project no. RPDS.01.02.02-02-0065/20). We want to thank Mikołaj Morzy for an initial review and feedback. We want to thank our annotators team - Barbara Orłowska, Daria Szałamacha, Konrad Gajewski and Paweł Odrowąż-Sypniewski.
Annotated funders:
funder_name: Department of Artificial Intelligence at Wroclaw University of Science and Technology
funder_name: European Regional Development Fund (ERDF)
awards: award_ids: RPDS.01.02.02-02-0065/20
DOI: 10.48550/arxiv.2209.08964
Funding statement: S. Rangan, W. Xia, S. Kang, and M. Mezzavilla were supported by NSF grants 1302336, 1564142, 1547332, and 1824434, SRC, and the industrial affiliates of NYU WIRELESS. A. Lozano and G. Geraci were supported by ERC grant 694974, by MINECO's Projects RTI2018-101040 and PID2021123999OB-I00, by the "Ramón y Cajal" program, and by ICREA. The work of V. Semkin was supported in part by the Academy of Finland.
Annotated funders:
funder_name: NSF
awards: award_ids: 1302336
1564142
1547332
1824434
funder_name: SRC
funder_name: NYU WIRELESS
funder_name: ERC
awards: award_ids: 694974
funder_name: MINECO
awards: funding_scheme: "Ramón y Cajal" program
award_ids: RTI2018-101040
PID2021123999OB-I00
funder_name: ICREA
funder_name: Academy of Finland
DOI: 10.1101/2024.02.18.578245
Funding statement: This work was supported by the U.S. Department of Energy, Office of Science, Basic Energy Sciences under Award No. DE-SC0022035 for M. Meigooni, H.Y., J.L., E.T., X.L, and C.M.S. and the National Science Foundation under Award 2227399 for R.S. and C.M.S.
Annotated funders:
funder_name: U.S. Department of Energy, Office of Science, Basic Energy Sciences
awards: award_ids: DE-SC0022035
funder_name: National Science Foundation
awards: award_ids: 2227399
DOI: 10.1101/2022.09.26.509156
Funding statement: Acknowledgments: This work was supported by grants from NKFIH KH129567, NKFIH K135027 and TKP2021-EGA-25 to C.C., grants NKFIH K137563 and TKP2021-EGA-24 to K.K. and from the project NextGen-O2k (Oroboros Instruments) which has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement N° 859770. We would like to acknowledge the support and resources of the Birmingham Metabolic Tracer Analysis Core. T.N.S. has received funding from Childhood Cancer UK, Foundation for Metabolic Cancer Therapies, the Corkin Family Foundation, and Dr. Edward Miller. D. R. was supported by a scholarship from School of PhD Studies of Semmelweis University, project no EFOP-3.6.3-VEKOP-16-2017-00009.
Annotated funders:
funder_name: NKFIH
awards: award_ids: KH129567
K135027
TKP2021-EGA-25
K137563
TKP2021-EGA-24
funder_name: European Union
awards: funding_scheme: Horizon 2020 research and innovation programme
award_ids: N° 859770
funder_name: Childhood Cancer UK
funder_name: Foundation for Metabolic Cancer Therapies
funder_name: Corkin Family Foundation
funder_name: Dr. Edward Miller
funder_name: Semmelweis University
awards: award_ids: EFOP-3.6.3-VEKOP-16-2017-00009
DOI: 10.1101/401513
Funding statement: This work was supported by the National Natural Science Foundation of China (Grant 31570844), the National Basic Research Program of China (973 project, Grant 2013CB127103), Project 2662016PY094 supported by the Fundamental Research Funds for the Central Universities. The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
Annotated funders:
funder_name: National Natural Science Foundation of China
awards: award_ids: 31570844
awards: funding_scheme: National Basic Research Program of China
award_ids: 2013CB127103
award_title: 973 project
funder_name: Fundamental Research Funds for the Central Universities
awards: award_ids: 2662016PY094
DOI: 10.1101/2023.04.14.23288550
Funding statement: Funding National Health and Medical Research Council of Australia (GTN2009264; GTN1158384), National Institute on Aging (AG062531), Alzheimer's Association (2018-AARG-591358), and the Banting Fellowship Program (#454104). | Dr. Pase is supported by a National Health and Medical Research Council of Australia Investigator Grant (GTN2009264) with sleep research funding from the National Health and Medical Research Council of Australia (GTN1158384), National Institute on Aging (R01 AG062531) and Alzheimer's Association (2018-AARG-591358). Dr. Baril is funded by the Banting Fellowship Program (#454104). The funders of the study had no role in study design, data collection, data analysis, data interpretation, or writing of the report.
Annotated funders:
funder_name: National Health and Medical Research Council of Australia
awards: award_ids: GTN2009264
GTN1158384
funder_name: National Institute on Aging
awards: award_ids: AG062531
R01 AG062531
funder_name: Alzheimer's Association
awards: award_ids: 2018-AARG-591358
funder_name: Banting
awards: funding_scheme: Fellowship Program
award_ids: #454104
DOI: 10.48550/arxiv.1912.02000
Funding statement: * Giacomo Como is also with the Department of Automatic Control, Lund University, Sweden. This work was partially supported by MIUR grant Dipartimenti di Eccellenza 2018-2022 [CUP: E11G18000350001], the Swedish Research Council, and by the Compagnia di San Paolo.
Annotated funders:
funder_name: MIUR
awards: award_ids: E11G18000350001
award_title: Dipartimenti di Eccellenza 2018-2022
funder_name: Swedish Research Council
funder_name: Compagnia di San Paolo
DOI: 10.48550/arxiv.2205.05720
Funding statement: The authors SB and PT acknowledge support by the DFG via the priority programme SPP 2256 Variational Methods for Predicting Complex Phenomena in Engineering Structures and Materials (BA 2268/7-1). The author AB is partially supported by NSF grant DMS-2110811.
Annotated funders:
funder_name: DFG
awards: award_ids: SPP 2256
BA 2268/7-1
funder_name: NSF
awards: award_ids: DMS-2110811
DOI: 10.22541/au.167069039.95224014/v1
Funding statement: This research was funded by The National Natural Science Foundation of China, grant number 32160164
This research was funded by The Natural Science Foundation of Gansu Province, grant number 18JR2JA004
This research was funded by The Fundamental Research Funds for the Central Universities, grant number(31920210033, 31920210002)
Annotated funders:
funder_name: The National Natural Science Foundation of China
awards: award_ids: 32160164
funder_name: The Natural Science Foundation of Gansu Province
awards: award_ids: 18JR2JA004
awards: funding_scheme: The Fundamental Research Funds for the Central Universities
award_ids: 31920210033
31920210002
DOI: 10.48550/arxiv.1801.03635
Funding statement: *The authors thank the Johns Hopkins Causal Inference Working Group, Luke Keele, Betsy Ogburn, Jamie Robins, Fredrik Sävje, and Larry Wasserman for helpful comments and discussions. This work was partially supported by the NSF grant DMS-17130003.
Annotated funders:
funder_name: NSF
awards: award_ids: DMS-17130003
DOI: 10.1101/2023.11.13.566844
Funding statement: This work was supported by grants from the Research Foundation Flanders [G005219N, G003322N] and a Strategic Research Program Financing from the VUB [SRP50].
Annotated funders:
funder_name: Research Foundation Flanders
awards: award_ids: G005219N
G003322N
funder_name: VUB
awards: funding_scheme: Strategic Research Program Financing
award_ids: SRP50
DOI: 10.48550/arxiv.1404.6078
Funding statement: An acknowledgment section references the writing of the paper in Aarhus University, Denmark, and mentions financial support for the research. the RFFI grant No 11-01-00458 and by project SPbGU No 11.38.215.2014.
Annotated funders:
funder_name: RFFI
awards: award_ids: 11-01-00458
funder_name: SPbGU
awards: award_ids: 11.38.215.2014.
DOI: 10.21203/rs.3.rs-150894/v1
Funding statement: This project was funded through the ERC as part of iHEAR project
Annotated funders:
funder_name: ERC
awards: funding_scheme: iHEAR project
DOI: 10.48550/arxiv.2407.11490
Funding statement: This work was supported by Grants-in-Aid for Scientific Research (Grant Nos. JP19H05603, JP22H00112, and JP24H00827) and JSPS Bilateral Program Number JPJSBP120249911.
Annotated funders:
funder_name: Grants-in-Aid for Scientific Research
awards: award_ids: JP19H05603
JP22H00112
JP24H00827
funder_name: JSPS
awards: funding_scheme: Bilateral Program
award_ids: JPJSBP120249911
DOI: 10.21203/rs.3.rs-2220141/v1
Funding statement: This study was supported by Program of Excellent Doctoral (Postdoctoral) of Zhongnan Hospital of Wuhan University (Grant No. ZNYB2019006) and Natural Science Foundation of Hubei Province (Grant No. 2019CFB505).
Annotated funders:
funder_name: Zhongnan Hospital of Wuhan University
awards: funding_scheme: Program of Excellent Doctoral (Postdoctoral)
award_ids: ZNYB2019006
funder_name: Natural Science Foundation of Hubei Province
awards: award_ids: 2019CFB505
DOI: 10.48550/arxiv.2312.10587
Funding statement: This research is supported by the Engineering and Physical Sciences Research Council (EPSRC) under Grant EP/Y025946/1. Wangkun Xu is also supported by the PhD scholarship of the Department of EEE, Imperial College London. Jianhong Wang is fully supported by the UKRI Turing AI World-Leading Researcher Fellowship, EP/W002973/1.
Annotated funders:
funder_name: Engineering and Physical Sciences Research Council (EPSRC)
awards: award_ids: EP/Y025946/1
funder_name: Imperial College London
awards: funding_scheme: Department of EEE
funder_name: UKRI
awards: award_ids: EP/W002973/1
award_title: Turing AI World-Leading Researcher Fellowship
DOI: 10.48550/arxiv.1507.01483
Funding statement: The first author is partially supported by DGICYT Grant MTM2012-33073 and CAPES-PVE Grant 88881.062217/2014-01. The second author is partially supported by FAPESP Grant 2013/14014-3. The third author is partially supported by CNPq Grant 309626/2014-5 and FAPESP Grant 2013/10856-0.
Annotated funders:
funder_name: DGICYT
awards: award_ids: MTM2012-33073
funder_name: CAPES-PVE
awards: award_ids: 88881.062217/2014-01
funder_name: FAPESP
awards: award_ids: 2013/14014-3
2013/10856-0
funder_name: CNPq
awards: award_ids: 309626/2014-5
DOI: 10.31224/osf.io/c974v
Funding statement: This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 764547. The sole responsibility of this publication lies with the author(s). The European Union is not responsible for any use that may be made of the information contained herein.
Annotated funders:
funder_name: European Union
awards: funding_scheme: Horizon 2020 research and innovation program
award_ids: 764547
award_title: Marie Skłodowska-Curie grant
DOI: 10.48550/arxiv.1912.08487
Funding statement: Acknowledgement This project was supported by the Austrian Research Promotion Agency (FFG) project DGT (860820). This work was partially funded by the Christian Doppler Laboratory for Embedded Machine Learning.
Annotated funders:
funder_name: Austrian Research Promotion Agency (FFG)
awards: award_ids: DGT (860820)
funder_name: Christian Doppler Laboratory for Embedded Machine Learning
DOI: 10.48550/arxiv.1008.2935
Funding statement: Acknowledgment. The second-named author acknowledges partial financial sup-
port from the Project MTM2007-61446, DGI-FEDER, of the MCYT, Spain, and
from the grant PNII - Programme "Idei" (code 1194).
Annotated funders:
funder_name: MCYT, Spain
awards: award_ids: MTM2007-61446
funder_name: PNII - Programme "Idei"
awards: award_ids: 1194
DOI: 10.1101/2022.11.18.516922
Funding statement: - Acknowledgments: This work was funded by the UK Dementia Research Institute which receives its funding from the Medical Research Council, Alzheimer's Society, and Alzheimer's Research UK. We gratefully acknowledge the contributions of our brain tissue donors and their families. BWM receives funding from the Medical Research Council (Grant Number MR/R001316/1) and from Leducq Foundation Transatlantic Network of Excellence, Stroke-IMPaCT (Grant Number 19CVD01). For the purpose of open access, the author has applied a CC-BY public copyright license to any Author Accepted Manuscript version arising from this submission. We would like to thank the QMRI Flow Cytometry & Cell Sorting Facility at The University of Edinburgh for assistance with FACS studies, the Shared University Research Facilities (SuRF) Histology facility at The University of Edinburgh for assistance with processing, sectioning and slide-scanning brains, Dr Daniel Soong at The MRC Centre for Reproductive Health, University of Edinburgh for his assistance with image analysis, and Prof. Siddharthan Chandran at The University of Edinburgh for providing the SHSY-5Y cell line.
Annotated funders:
funder_name: UK Dementia Research Institute
funder_name: Medical Research Council
awards: award_ids: MR/R001316/1
funder_name: Alzheimer's Society
funder_name: Alzheimer's Research UK
funder_name: Leducq Foundation Transatlantic Network of Excellence, Stroke-IMPaCT
awards: award_ids: 19CVD01
DOI: 10.48550/arxiv.2004.09190
Funding statement: Acknowledgement This work was supported by the National Natural Science Foundation of China (No. 61672481) and Youth Innovation Promotion Association CAS (No. 2018495).
Annotated funders:
funder_name: National Natural Science Foundation of China
awards: award_ids: 61672481
funder_name: CAS
awards: funding_scheme: Youth Innovation Promotion Association
award_ids: 2018495
DOI: 10.21203/rs.3.rs-38388/v1
Funding statement: The experimental design of this work was conducted thanks to funding from INIA project RTA2011-00064-00-00. This study was part of the Feed-a-Gene project and received funding from the European Union’s H2020 program under grant agreement no. 633531. MVG is a recipient of a “Formación de Personal Investigador (FPI)” pre-doctoral fellowship from INIA, associated with the research project RTA2014-00015-C2-01. YRC was funded by Marie Skłodowska-Curie grant (P-Sphere) agreement no. 6655919 (EU).
Annotated funders:
funder_name: INIA
awards: award_ids: RTA2011-00064-00-00
RTA2014-00015-C2-01
funder_name: European Union
awards: funding_scheme: H2020 program
award_ids: 633531
funder_name: Marie Skłodowska-Curie grant
awards: funding_scheme: P-Sphere
award_ids: 6655919
DOI: 10.21203/rs.3.rs-544226/v1
Funding statement: Acknowledgments: We thank I. Guzei for small molecule x-ray structure determination and S.H. Gellman and members of the Buller group for critical reading of the manuscript. The crystal mounting and data collection were mediated by the Collaborative Crystallography Core, Department of Biochemistry, UWMadison and data were collected at the Life Sciences Collaborative Access Team beamline 21ID-D at the Advanced Photon Source, Argonne National Laboratory and we thank Z. Wawrzak for technical assistance during data collection. Use of the LS-CAT Sector 21 was supported by the Michigan Economic Development Corporation and the Michigan Technology Tri-Corridor (Grant 085P1000817). This work was supported by the Office of the Vice Chancellor for Research and Graduate Education at the University of Wisconsin-Madison, Wisconsin Alumni Research Foundation, National Institute of Health (grant DP2-GM137417), Morgridge Institute for Research – Metabolism Theme Fellowship, and the NIH Biotechnology Training Grant (T32-GM008349). The Bruker AVANCE III-500 NMR spectrometers were supported by the Bender Fund. The Advanced Photon Source was supported by the U. S. Department of Energy, Office of Science, Office of Basic Energy Sciences, under Contract No. W-31-109-Eng-38. The Bruker D8 VENTURE Photon III X-ray diffractometer was partially funded by NSF Award (#CHE-1919350) to the UW–Madison Department of Chemistry
Annotated funders:
funder_name: Collaborative Crystallography Core, Department of Biochemistry, UWMadison
funder_name: Life Sciences Collaborative Access Team beamline 21ID-D at the Advanced Photon Source, Argonne National Laboratory
funder_name: Michigan Economic Development Corporation
funder_name: Michigan Technology Tri-Corridor
awards: award_ids: Grant 085P1000817
funder_name: Office of the Vice Chancellor for Research and Graduate Education at the University of Wisconsin-Madison
funder_name: Wisconsin Alumni Research Foundation
funder_name: National Institute of Health
awards: award_ids: DP2-GM137417
funder_name: NIH
awards: award_ids: T32-GM008349
award_title: Biotechnology Training Grant
funder_name: Morgridge Institute for Research
awards: award_title: Metabolism Theme Fellowship
funder_name: Bender Fund
funder_name: U. S. Department of Energy, Office of Science, Office of Basic Energy Sciences
awards: award_ids: W-31-109-Eng-38
funder_name: NSF
awards: award_ids: CHE-1919350
funder_name: UW–Madison Department of Chemistry
DOI: 10.48550/arxiv.2403.06773
Funding statement: Most progress on this article and its follow-up has been made during mutual visits for various occasions in different places, and we would like to thank the respective organizers and hosts: the 2022 workshop "math in the mill" in Sondheim vor der Rhön; IMPAN Warsaw; and Leibniz University Hannover. This research is also part of the EU Staff Exchange project 101086394 "Operator Algebras That One Can See". It was partially supported by the University of Warsaw Thematic Research Programme "Quantum Symmetries". The second author would like to thank Profs. K. Schmüdgen and J. Cimprič for insightful discussions and their encouragement to work on this topic.
Annotated funders:
funder_name: EU
awards: funding_scheme: Staff Exchange project
award_ids: 101086394
award_title: Operator Algebras That One Can See
funder_name: University of Warsaw
awards: funding_scheme: Thematic Research Programme
award_title: Quantum Symmetries
DOI: 10.21203/rs.3.rs-4792645/v1
Funding statement: JST Mirai, Grant Number JPMJSP2136, and JSPS KAKENHI, Grant Number 23K21830, supported this work.
Annotated funders:
funder_name: JST
awards: funding_scheme: Mirai
award_ids: JPMJSP2136
funder_name: JSPS
awards: funding_scheme: KAKENHI
award_ids: 23K21830
DOI: 10.1101/2021.12.08.471450
Funding statement: This study was financed by the Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP, São Paulo, Brazil) through a scholarship to FM (grant number 2015/06677-8), CM (grant number 2018/03403–2) and GS (BIOEN grant number 2016/02506-7).
Annotated funders:
funder_name: Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP, São Paulo, Brazil)
awards: award_ids: 2015/06677-8
2018/03403–2
2016/02506-7
DOI: 10.48550/arxiv.2009.01455
Funding statement: *This research was supported by the National Key Research and Development Program of Ministry of Science and Technology of China under Grant No. 2018AAA0101002, the National Natural Science Foundation of China under grants No. 61803024, 11688101,61906016, the General Project of Scientific Research Project of the Beijing Education Committee under Grant No. KM201811417002, the Foundation of Beijing Union University under Grant No. BPHR2019DZ08, the Young Elite Scientists Sponsorship Program by CAST under Grant 2018QNRC001, and Beijing Institute of Technology Research Fund Program for Young Scholars.
Annotated funders:
funder_name: Ministry of Science and Technology of China
awards: funding_scheme: National Key Research and Development Program
award_ids: 2018AAA0101002
funder_name: National Natural Science Foundation of China
awards: award_ids: 61803024
11688101
61906016
funder_name: Beijing Education Committee
awards: funding_scheme: General Project of Scientific Research Project
award_ids: KM201811417002
funder_name: Foundation of Beijing Union University
awards: award_ids: BPHR2019DZ08
funder_name: CAST
awards: funding_scheme: Young Elite Scientists Sponsorship Program
award_ids: 2018QNRC001
funder_name: Beijing Institute of Technology
awards: funding_scheme: Research Fund Program for Young Scholars