cometadata/preprint-funding huggingface dataset:
DOI: 10.1101/2023.05.05.23289547
Funding statement: Funding: KSB, JA, TD, and RT were supported by the Cancer Research United Kingdom (grant no. C8221/A29017). HBS and AVS are funded by The Swedish Cancer Society (Grants 20 0990). RMM is a National Institute for Health Research Senior Investigator (NIHR202411). RMM is supported by a Cancer Research UK 25 (C18281/A29019) programme grant (the Integrative Cancer Epidemiology Programme). RMM is also supported by the NIHR Bristol Biomedical Research Centre which is funded by the NIHR (BRC-1215-20011) and is a partnership between University Hospitals Bristol and Weston NHS Foundation Trust and the University of Bristol. RMM is affiliated with the Medical Research Council Integrative Epidemiology Unit at the University of Bristol which is supported by the Medical Research Council (MC_UU_00011/1, MC_UU_00011/3, MC_UU_00011/6, and MC_UU_00011/4) and the University of Bristol. Department of Health and Social Care disclaimer: The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health and Social Care.
Annotated funders:
funder_name: Cancer Research United Kingdom
awards: funding_scheme: The Integrative Cancer Epidemiology Programme
award_ids: C8221/A29017
C18281/A29019
award_title: Programme grant
funder_name: The Swedish Cancer Society
awards: award_ids: 20 0990
funder_name: National Institute for Health Research
awards: award_ids: NIHR202411
BRC-1215-20011
funder_name: Medical Research Council
awards: award_ids: MC_UU_00011/1
MC_UU_00011/3
MC_UU_00011/6
MC_UU_00011/4
DOI: 10.48550/arxiv.math/9911003
Funding statement: *Supported by NSF grant DMS-96-26633. | †Supported by a Sloan Foundation Fellowship, and NSF grants DMS-95-05175, DMS-96-26911.
Annotated funders:
funder_name: NSF
awards: award_ids: DMS-96-26633
DMS-95-05175
DMS-96-26911
funder_name: Sloan Foundation
awards: funding_scheme: Sloan Foundation Fellowship
DOI: 10.1101/2020.09.23.310201
Funding statement: We acknowledge help from R. Majed in performing bacterial transformations. DF thanks Kirill Korolev and Oskar Hallatschek for helpful discussions. MH acknowledges studentship funding from EPSRC under grant number EP/R513180/1. NK acknowledges funding from the Gates Cambridge Scholarship. TL acknowledges college grant from St Edmund Hall. This work was performed using resources provided by the Cambridge Service for Data Driven Discovery (CSD3) operated by the University of Cambridge Research Computing Service, provided by Dell EMC and Intel using Tier-2 funding from the Engineering and Physical Sciences Research Council (capital grant EP/P020259/1), and DiRAC funding from the Science and Technology Facilities Council.
Annotated funders:
funder_name: EPSRC
awards: award_ids: EP/R513180/1
EP/P020259/1
funder_name: Gates Cambridge
awards: award_title: Gates Cambridge Scholarship
funder_name: St Edmund
funder_name: University of Cambridge
awards: funding_scheme: Cambridge Service for Data Driven Discovery (CSD3)
funder_name: Engineering and Physical Sciences Research Council
awards: award_ids: EP/P020259/1
funder_name: Science and Technology Facilities Council
DOI: 10.21203/rs.3.rs-16448/v2
Funding statement: This work was funded by Georgia CTSA Grants TL1TR002382 and UL1TR002378, NASA grant NNX16AT06G, and the Georgia Research Alliance (CRE).
Annotated funders:
funder_name: Georgia CTSA
awards: award_ids: TL1TR002382
UL1TR002378
funder_name: NASA
awards: award_ids: NNX16AT06G
funder_name: Georgia Research Alliance (CRE)
DOI: 10.26434/chemrxiv.14049719.v1
Funding statement: The research leading to these results has received funding from Spanish Ministerio de Ciencia e Innovación (PID2019-111189GB-I00 and CTQ2017-92173-EXP). We are grateful to the UK Materials and Molecular Modelling Hub for computational resources, which is partially funded by EPSRC (EP/P020194/1 and EP/T022213/1).
Annotated funders:
funder_name: Spanish Ministerio de Ciencia e Innovación
awards: award_ids: PID2019-111189GB-I00
CTQ2017-92173-EXP
funder_name: EPSRC
awards: award_ids: EP/P020194/1
EP/T022213/1
DOI: 10.1101/2024.04.15.589443
Funding statement: This work was supported in part by National Institutes of Health grants R21AI104166 and R21AI118351. Additional funding was provided by Health Research Inc grant #11009701.
Annotated funders:
funder_name: National Institutes of Health
awards: award_ids: R21AI104166
R21AI118351
funder_name: Health Research Inc
awards: award_ids: 11009701
DOI: 10.21203/rs.3.rs-711022/v1
Funding statement: This work was supported by "the National Science Foundation of China" (81800995)
Annotated funders:
funder_name: the National Science Foundation of China
awards: award_ids: 81800995
DOI: 10.48550/arxiv.math/0504062
Funding statement: * Research supported by the National Science Foundation.
Annotated funders:
funder_name: National Science Foundation
DOI: 10.1101/2024.07.28.605537
Funding statement: The authors would like to acknowledge the Katharina Gaus Light Microscopy Facility (KGLMF) and their staff for the continuous support in imaging resources and assistance in image processing and analysis. Special acknowledgement to Dr. Michael Carnell for developing the NoBS algorithm for the analysis of F-actin stress fibers alignment; Dr. Elvis Pandzic for assisting and training V.P. in custom-built MATLAB scripts for the analysis of cell shape, volume; and Dr. Celine Heu for assistance with the AFM; Dr. Chantal Kopecky for assistance in deformability cytometry. V.P. would like to thank the Scientia PhD Scholarship scheme from UNSW for support throughout her doctoral research studies. This work has been supported in part by grants from the National Health and Medical Research Council (MLKT, KAK) and the National Institute of Health (KAK).
Annotated funders:
funder_name: National Health and Medical Research Council
funder_name: National Institute of Health
DOI: 10.31223/osf.io/ezr6u
Funding statement: Partial financial support was provided by the Deutsche Forschungsgemeinschaft (DFG grants BA 2207/6-1 and INST 90/678-1 FUGG), the European Commission H2020 Marie Skłodowska-Curie Action (grant 706088) and the Universitätsbund of Friedrich-Alexander-Universität Erlangen-Nürnberg.
Annotated funders:
funder_name: Deutsche Forschungsgemeinschaft
awards: award_ids: BA 2207/6-1
INST 90/678-1 FUGG
funder_name: European Commission
awards: funding_scheme: H2020 Marie Skłodowska-Curie Action
award_ids: 706088
funder_name: Universitätsbund of Friedrich-Alexander-Universität Erlangen-Nürnberg
DOI: 10.48550/arxiv.1703.07508
Funding statement: The authors thank N. Balsara and Z-G. Wang for insightful discussions regarding grain growth in block copolymers, S. Sinha for assistance with MALDI-TOF measurements, and the reviewers for helpful feedback. This work was supported by NSF under DMR-1410568 and DMR-1119826. Facilities use was supported by YINQE. P.G. acknowledges support under DMR-1507409. Additionally, this research used resources of the Center for Functional Nanomaterials, which is a U.S.DOE Office of Science Facility, at Brookhaven National Laboratory under Contract No. de-sc0012704.
Annotated funders:
funder_name: NSF
awards: award_ids: DMR-1410568
DMR-1119826
DMR-1507409
funder_name: YINQE
funder_name: Center for Functional Nanomaterials
awards: award_ids: de-sc0012704
funder_name: U.S.DOE Office of Science
DOI: 10.1101/237693
Funding statement: We acknowledge members of the NYGC Technology Innovation and Satija labs for critical discussions and support. We thank M. Coppo, S. Fennessey, B. Baysa and S. Pescatore at NYGC for sequencing support. This work was supported by the Chan Zuckerberg Initiative (HCA-A- 1704-01895, to RS and PS), NIHR21-HG-009748 (to PS), and an NIH New Innovator Award (DP2-HG-009623, to RS).
Annotated funders:
funder_name: Chan Zuckerberg Initiative
awards: award_ids: HCA-A- 1704-01895
funder_name: NIH
awards: award_ids: R21-HG-009748
DP2-HG-009623
award_title: New Innovator Award
DOI: 10.48550/arxiv.2202.09789
Funding statement: The authors would like to thank the anonymous reviewers for their insightful comments and suggestions, which can substantially improve the quality of this work. Ke Liu and Guang Yang have contributed equally to this work and they are co-first authors. This work is supported in part by the National Natural Science Foundation of China (Grant no. 61872263), The Open Project of State Key Laboratory of Information Security (Institute of Information Engineering, Chinese Academy of Sciences) (Grant No. 2020-MS-07).
Annotated funders:
funder_name: National Natural Science Foundation of China
awards: award_ids: 61872263
funder_name: State Key Laboratory of Information Security (Institute of Information Engineering, Chinese Academy of Sciences)
awards: funding_scheme: The Open Project
award_ids: 2020-MS-07
DOI: 10.48550/arxiv.2206.00239
Funding statement: The author is partially supported by the National Key R&D Program of China (Grant No. 2020YFA0713000) and China Postdoctoral Science Foundation (Grant No. 315251).
Annotated funders:
awards: funding_scheme: National Key R&D Program of China
award_ids: 2020YFA0713000
funder_name: China Postdoctoral Science Foundation
awards: award_ids: 315251
DOI: 10.26434/chemrxiv-2024-jtt33
Funding statement: This work was supported by the DFG, project GO 3250/2-1 A.G. and C.G.L..
Annotated funders:
funder_name: DFG
awards: award_ids: GO 3250/2-1
DOI: 10.48550/arxiv.1912.10462
Funding statement: Thanks to Riccardo Maffucci for being my supervisor in this project, who has been indispensable in every sense. Thanks also to the LMS and Oxford University Math Institute for providing funding for this project. I would also like to thank Zeév Rudnick and R. Heath-Brown for generously answering my questions about their work.
Annotated funders:
funder_name: LMS
funder_name: Oxford University Math Institute
DOI: 10.1101/684985
Funding statement: PR, LM, WV acknowledge funding from the Research Foundation Flanders under grant agreement number G.0328.16N. LM acknowledges funding from the European Union’s Horizon 2020 Programme under Grant Agreement 823839 (H2020-INFRAIA-2018-1). NH and LM acknowledge funding from a Concerted Research Action grant from Ghent University under grant agreement number BOF12/GOA/014. EV is a postdoctoral research fellow of the Research Foundation Flanders under grant agreement number 12F0816N. The authors are grateful to all submitters to the PRIDE database for making their proteomics data publicly available.
Annotated funders:
funder_name: Research Foundation Flanders
awards: award_ids: G.0328.16N
12F0816N
funder_name: European Union
awards: funding_scheme: Horizon 2020 Programme
award_ids: 823839 (H2020-INFRAIA-2018-1)
funder_name: Ghent University
awards: award_ids: BOF12/GOA/014
award_title: Concerted Research Action grant
DOI: 10.1101/2022.04.14.488295
Funding statement: This work was supported by the Swedish Research Council (2017-04018 and 2021-03992 to M.H.), the European Research Council (HIGH-GEAR 724394 to M.H.), the Knut and Alice Wallenberg Foundation (20217.0275 and 2019.0436 to M.H.), and National Institutes of Health grants GM133081 (to K.D.S.), GM117126 (to N.K.S.), GM55302 (to V.K.Y.), GM110501 (to J.Y.) and GM126289 (to J.K.). A.M.O., P.A., and A.Bu. were supported by Diamond Light Source, the UK Science and Technology Facilities Council (STFC), a jointly funded strategic award from the Wellcome Trust and the Biotechnology and Biological Sciences Research Council (102593 to James Naismith), a Wellcome Investigator Award (210734/Z/18/Z to A.M.O.), and a Royal Society Wolfson Fellowship (RSWF\R2\182017 to A.M.O.). The DOT instrument used in this research was funded by Department of Energy (DOE), Office of Science, Office of Basic Energy Sciences (BES), Division of Chemical Sciences, Geosciences, and Biosciences (to J.K., J.Y., and V.K.Y.). XFEL data was collected under proposal LU50 at LCLS, SLAC, Stanford, USA, and under proposal 2017B8085 at BL2 of SACLA, Japan. The Rayonix detector used at LCLS was supported by the NIH grant S10 OD023453. Use of the LCLS, SLAC National Accelerator Laboratory, is supported by the U.S. DOE, Office of Science, BES, under contract no. DE-AC02-76SF00515.
Annotated funders:
funder_name: Swedish Research Council
awards: award_ids: 2017-04018
2021-03992
funder_name: European Research Council
awards: award_ids: HIGH-GEAR 724394
funder_name: Knut and Alice Wallenberg Foundation
awards: award_ids: 20217.0275
2019.0436
funder_name: National Institutes of Health
awards: award_ids: GM133081
GM117126
GM55302
GM110501
GM126289
S10 OD023453
funder_name: Diamond Light Source
funder_name: UK Science and Technology Facilities Council (STFC)
funder_name: Wellcome Trust
awards: award_ids: 102593
210734/Z/18/Z
award_title: jointly funded strategic award
funder_name: Biotechnology and Biological Sciences Research Council
awards: award_ids: 102593
award_title: Wellcome Investigator Award
funder_name: Royal Society
awards: award_ids: RSWF\R2\182017
funder_name: Department of Energy (DOE), Office of Science, Office of Basic Energy Sciences (BES), Division of Chemical Sciences, Geosciences, and Biosciences
funder_name: U.S. DOE, Office of Science, BES
awards: award_ids: DE-AC02-76SF00515
DOI: 10.1101/2020.02.25.964403
Funding statement: This study was supported by grants R01EY022161 (VVM), P30EY030413 (VVM), and R35GM118103 (DRC) from the National Institutes of Health, Bethesda, MD, an unrestricted grant from Research to Prevent Blindness, New York (VVM), Harrington Scholar-Innovator Award from Harrington Discovery Institute (VVM), the Alfred and Kathy Gilman Special Opportunities in Pharmacology Fund (DRC), and the Robert A. Welch Foundation I-1244 (DRC).
Annotated funders:
funder_name: National Institutes of Health, Bethesda
awards: award_ids: R01EY022161
P30EY030413
R35GM118103
funder_name: Research to Prevent Blindness, New York
funder_name: Harrington Discovery Institute
awards: award_ids: Harrington
Scholar-Innovator Award
funder_name: Alfred and Kathy Gilman Special Opportunities in Pharmacology Fund
funder_name: Robert A. Welch Foundation
awards: award_ids: I-1244
DOI: 10.21203/rs.3.rs-2662244/v1
Funding statement: The UK Medical Research Council and Wellcome (Grant ref: 102215/2/13/2) and the University of Bristol
provide core support for ALSPAC. A comprehensive list of grants funding is available on the ALSPAC
website (http://www.bristol.ac.uk/alspac/external/documents/grant-acknowledgements.pdf). JMA is
supported by the Wolfson Centre for Young People’s Mental Health at Cardiff University. REW is supported
by a postdoctoral fellowship from the South-Eastern Norway Regional Health Authority (2020024). CMAH
is supported by a Philip Leverhulme Prize. This publication is the work of the authors, and JMA will serve
as guarantor for the contents of this paper.
Annotated funders:
funder_name: UK Medical Research Council
funder_name: Wellcome
awards: award_ids: 102215/2/13/2
funder_name: University of Bristol
funder_name: Wolfson Centre for Young People’s Mental Health at Cardiff University
funder_name: South-Eastern Norway Regional Health Authority
awards: award_ids: 2020024
DOI: 10.48550/arxiv.2401.00652
Funding statement: * indicates the corresponding author. This work was supported by the National Natural Science Foundation of China under Grants U20B2051 and U1936214.
Annotated funders:
funder_name: National Natural Science Foundation of China
awards: award_ids: U20B2051
U1936214
DOI: 10.21203/rs.3.rs-193098/v1
Funding statement: This work was supported by the Ministry of Science and Technology of China through the Program "Driving process and mechanism of three dimensional spatial distribution of high risk organic pollutants in multi field coupled sites" (Project Code: 2019YFC1804303) and "Research on Mechanism of Groundwater Exploitation and Seawater Intrusion in Coastal Areas" (Project Code: 20165037412), and the program "Postgraduate Research & Practice Innovation Program of Jiangsu Province" (Project Code: SJKY19_0519, 2019B60214). We acknowledge support by the German Research Foundation and the Open Access Publication Funds of the Göttingen University. | Open Access funding enabled and organized by Projekt DEAL.
Annotated funders:
funder_name: Ministry of Science and Technology of China
awards: funding_scheme: Driving process and mechanism of three dimensional spatial distribution of high risk organic pollutants in multi field coupled sites
award_ids: 2019YFC1804303
funding_scheme: Research on Mechanism of Groundwater Exploitation and Seawater Intrusion in Coastal Areas
award_ids: 20165037412
funder_name: German Research Foundation
funder_name: Göttingen University
awards: funding_scheme: Open Access Publication Funds
funder_name: Postgraduate Research & Practice Innovation Program of Jiangsu Province
awards: award_ids: SJKY19_0519
2019B60214
DOI: 10.1101/857268
Funding statement: The study was funded by grants from the Carnegie Trust for the Universities of Scotland (70743) and Moray Endowment Fund. PH was also supported by the University of Edinburgh Centre for Cognitive Ageing and Cognitive Epidemiology, part of the cross council Lifelong Health and Wellbeing Initiative (MR/K026992/1). Funding from the Biotechnology and Biological Sciences Research Council (BBSRC) and Medical Research Council (MRC) is gratefully acknowledged.
Annotated funders:
funder_name: Carnegie Trust for the Universities of Scotland
awards: award_ids: 70743
funder_name: Moray
awards: award_title: Moray Endowment Fund
funder_name: University of Edinburgh Centre for Cognitive Ageing and Cognitive Epidemiology
funder_name: Lifelong Health and Wellbeing Initiative
awards: award_ids: MR/K026992/1
funder_name: Biotechnology and Biological Sciences Research Council (BBSRC)
funder_name: Medical Research Council (MRC)
DOI: 10.48550/arxiv.cond-mat/9806244
Funding statement: This work was supported by Grants RFBR 96-02-17497, RFBR 97-02-16829, and INTAS-RFBR 95-302 and by the Programme "Statistical Physics" from the Russian Ministry of Sciences.
Annotated funders:
funder_name: RFBR
awards: award_ids: 96-02-17497
97-02-16829
funder_name: INTAS-RFBR
awards: award_ids: 95-302
funder_name: Russian Ministry of Sciences
DOI: 10.1101/202473
Funding statement: This project was supported by the National Institutes of Health AI093533A, HL129795, CA016672, EY007551, EY018239, and the Cancer Prevention Research Institute of Texas RP110166.
Annotated funders:
funder_name: National Institutes of Health
awards: award_ids: AI093533A
HL129795
CA016672
EY007551
EY018239
funder_name: Cancer Prevention Research Institute of Texas
awards: award_ids: RP110166
DOI: 10.48550/arxiv.2004.12371
Funding statement: Acknowledgments We thank Christoph Haase, Leonid Libkin, and Pascal Bergsträßer for their help during the preparation of this work. Matthew Hague is supported by EPSRC [EP/T00021X/1]. Anthony Lin is supported by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement no 759969), and by Max-Planck Fellowship. Philipp Rümmer is supported by the Swedish Research Council (VR) under grant 2018-04727, and by the Swedish Foundation for Strategic Research (SSF) under the project WebSec (Ref. RIT17-0011). Zhilin Wu is partially supported by the NSFC grant No. 61872340, Guangdong Science and Technology Department grant (No. 2018B010107004), and the INRIA-CAS joint research project VIP.
Annotated funders:
funder_name: EPSRC
awards: award_ids: EP/T00021X/1
funder_name: European Research Council (ERC)
awards: funding_scheme: European Union's Horizon 2020 research and innovation programme
award_ids: 759969
funder_name: Swedish Research Council (VR)
awards: award_ids: 2018-04727
funder_name: Swedish Foundation for Strategic Research (SSF)
awards: award_ids: RIT17-0011
funder_name: NSFC
awards: award_ids: 61872340
funder_name: Guangdong Science and Technology Department
awards: award_ids: 2018B010107004
awards: award_title: Max-Planck Fellowship
awards: funding_scheme: INRIA-CAS joint research project
DOI: 10.48550/arxiv.2307.02264
Funding statement: The second author was partially supported by the Graduiertenkolleg 2339 IntComSin of the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – Project-ID 321821685. The support is gratefully acknowledged.
Annotated funders:
funder_name: Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)
awards: funding_scheme: Graduiertenkolleg 2339 IntComSin
award_ids: Project-ID 321821685
DOI: 10.48550/arxiv.1905.05179
Funding statement: This work was done while AM was at Microsoft Research.
AM acknowledges the concurrent support in part by a
grant from the Open Philanthropy Project to the Center
for Human-Compatible AI, and in part by NSF grant
CAREER IIS-1452099.
Annotated funders:
funder_name: Open Philanthropy Project
funder_name: NSF
awards: funding_scheme: CAREER
award_ids: IIS-1452099
DOI: 10.21203/rs.3.rs-3414062/v1
Funding statement: This project is funded by the Australian Government Medical Research Future Fund Preventative Public Health Research Initiative (2019; GNT1200764). HC is supported by a National Heart Foundation Future Leader Fellowship (#102549) and partially by the Australian Government through the Australian Research Council's Centre of Excellence for Children and Families over the Life Course (Project ID CE200100025). BJJ is supported by an Early- Mid Career Researcher Fellowship from The Hospital Research Foundation Group (2022-CF-EMCR-008-QA25323). RB is supported by an Australian Research
Annotated funders:
funder_name: Australian Government Medical Research Future Fund Preventative Public Health Research Initiative
awards: award_ids: GNT1200764
funder_name: National Heart Foundation
awards: award_ids: 102549
funder_name: Australian Government
awards: award_ids: CE200100025
funder_name: The Hospital Research Foundation Group
awards: award_ids: 2022-CF-EMCR-008-QA25323
DOI: 10.48550/arxiv.2404.09490
Funding statement: Experiments are based on the NAVER Smart Machine Learning NSML [19] platform. This research was partly supported by the Bio \& Medical Technology Development Program of the National Research Foundation (NRF) (No. 2021M3A9E4080782) and the IITP grants [No. RS-2021-II212068; No. RS-2021II211343] funded by the Korean government (MSIT).
Annotated funders:
funder_name: National Research Foundation (NRF)
awards: funding_scheme: Bio & Medical Technology Development Program
award_ids: 2021M3A9E4080782
funder_name: IITP
awards: award_ids: RS-2021-II212068
RS-2021II211343
DOI: 10.48550/arxiv.1811.08305
Funding statement: This work is supported by the National Science and Engineering Research Council of Canada (NSERC), discovery grant program, and by the ETS Research Chair on Artificial Intelligence in Medical Imaging.
Annotated funders:
funder_name: National Science and Engineering Research Council of Canada (NSERC)
funder_name: ETS
awards: funding_scheme: Research Chair on Artificial Intelligence in Medical Imaging
DOI: 10.1101/509174
Funding statement: We thank D. Black for providing the PTBP1 antibody (Bb7) and for helpful discussions. We also thank W. Li, F. R. Ward, and A. S.-Y. Lee for helpful discussions. This work was funded by a predoctoral fellowship to L.M.A.T. through CAPES Science Without Borders (fellowship P-3-03822) and by grant P50-GM102706 from NIGMS to J.H.D.C.
Annotated funders:
funder_name: CAPES
awards: funding_scheme: Science Without Borders
award_ids: P-3-03822
award_title: fellowship
funder_name: NIGMS
awards: award_ids: P50-GM102706
DOI: 10.26434/chemrxiv-2023-6ngm1
Funding statement: This work was supported by United States Department of Energy, Office of Science, Basic Energy Sciences, under Award No. DE-SC0018645 for network synthesis and characterization of tensile, adhesive, and swelling properties.
Annotated funders:
funder_name: United States Department of Energy, Office of Science, Basic Energy Sciences
awards: award_ids: DE-SC0018645