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10.48550/arxiv.2303.07677
This work was supported in part by the Key R&D Program of Zhejiang under Grant 2022C01018, and by the National Natural Science Foundation of China under Grants U21B2001 and 61973273.
[ { "funder_name": null, "awards": [ { "funding_scheme": [ "Key R&D Program of Zhejiang" ], "award_ids": [ "2022C01018" ], "award_title": [] } ] }, { "funder_name": "National Natural Science Foundation of China", "awards": [ { "funding_scheme": [], "award_ids": [ "U21B2001", "61973273" ], "award_title": [] } ] } ]
10.48550/arxiv.1801.06216
The research of Bang-Jensen was supported by the Danish research council under grant number 7014-00037B.
[ { "funder_name": "Danish research council", "awards": [ { "funding_scheme": [], "award_ids": [ "7014-00037B" ], "award_title": [] } ] } ]
10.26434/chemrxiv-2023-707rs-v3
M.H. thanks the University of Rennes for his PhD fellowship. Dr Gregory Pieters from CEA Saclay (France) is acknowledged for fruitful discussions. M.H., F.B. and Y.T. thank the EUR LUMOMAT project and the Investments for the Future program ANR-18-EURE-0012. L.V. acknowledges financial support from Agence Nationale de la Recherche (ANR-21-CE07-0025-03 MAP). L.V., A.F. and B.L.G. thank the French GENCI/IDRIS-CINES center for high-performance computing resources.
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10.48550/arxiv.1612.08713
This work is part of the research programme of the Netherlands Organisation for Scientific Research (NWO). G.K. acknowledges support from a Starting Grant from the European Research Council under the European Union's Seventh Framework Programme (FP/2007-2013) / ERC Grant Agreement n. [335672]. J.A. acknowledges support from the U. S. Army Research Laboratory and the U. S. Army Research Office under grant number W911NF-14-1-0396, as well as the National Science Foundation under Grant No. NSF PHY11-25915. F.C.M. was supported in part by the National Science Foundation (Grant PHY-1427654). We furthermore thank Shiladitya Banerjee, Chiu Fan Lee, Gunnar Pruessner, Margaret Gardel, Martin Lenz, Michael Murrell, Thibaut Divoux, and Stephan Grill for insightful comments and discussions.
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10.48550/arxiv.1904.12191
This work was partially supported by grants NSF DMS-1613091, CCF-1714305, IIS-1741162, and ONR N00014-18-1-2729, NSF DMS-1418362, NSF DMS-1407813.
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10.48550/arxiv.1911.07067
This work is funded in part by Research Council of Norway project number 263248. The computations in this paper were performed on equipment provided by the Experimental Infrastructure for Exploration of Exascale Computing (eX3), which is financially supported by the Research Council of Norway under contract 270053.
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10.31234/osf.io/kbcw4
M.W.S.'s efforts on this paper were partially supported by the National Institute of Mental Health under award number K23MH126211. The content is solely the responsibility of the author and does not necessarily represent the official views of the National Institute of Health.
[ { "funder_name": "National Institute of Mental Health", "awards": [ { "funding_scheme": [], "award_ids": [ "K23MH126211" ], "award_title": [] } ] } ]
10.26434/chemrxiv-2024-689f3
This work was partly supported by the JST START (JPMJSF2303), JSPS KAKENHI (JP23KJ1717, JP23H00304, JP20H05676), The Murata Science Foundation, Research Foundation for Opto-Science and Technology, Takeda Science Foundation, Kyushu University Platform of Inter-/Transdisciplinary Energy Research (Q-PIT) through its "Module-Research Program", and Kyushu University Integrated Initiative for Designing Future Society.
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10.21203/rs.3.rs-1622372/v1
This work was supported by grants from the National Natural Science Foundation of China (no. 81772706, no. 81802525, and no.821172817) and the National Key Research and Development Project (no. 2019YFC1316005).
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10.1101/2023.05.11.540381
This work was supported by NSF ABI 1564659, NSF CAREER 2042516 to AS. This work was funded by the National Institute of Food and Agriculture, U.S. Department of Agriculture, Hatch Program under accession number 1008480 and funds from the University of Kentucky Bobby C. Pass Research Professorship to JJO. This research was supported in part by a Research Support Grant from the University of Kentucky Office of the Vice President for Research to DWW and JJO. This research includes calculations carried out on HPC resources supported in part by the National Science Foundation through major research instrumentation grant number 1625061 and by the US Army Research Laboratory under contract number W911NF- 16-2- 0189.
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10.48550/arxiv.1010.5141
This material is based upon work supported by the National Science Foundation under Grant No. 1116589.
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10.1101/2022.08.10.503487
Acknowledgment: This work was supported by A*STAR ID Labs grant to AS and by National Institutes of Health grants R33 AI136097 to DGR and R21 AI157759 to SB.
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10.48550/arxiv.2408.10861
This work was supported by the National Science Foundation of China under Grant 62203460 and U22A2059; Major Project of the Natural Science Foundation of Hunan Province (No. 2021JC0004).
[ { "funder_name": "National Science Foundation of China", "awards": [ { "funding_scheme": [], "award_ids": [ "62203460", "U22A2059" ], "award_title": [] } ] }, { "funder_name": "Natural Science Foundation of Hunan Province", "awards": [ { "funding_scheme": [], "award_ids": [ "2021JC0004" ], "award_title": [] } ] } ]
10.22541/au.170869776.61634034/v1
This study is part of the Victorian Water and Climate Initiative (VicWaCI), funded by the Department of the Energy, Environment, and Climate Action; the National Environmental Science Program (NESP), funded by the Department of Climate Change, Energy, the Environment and Water; and the Australian Research Council Special Research Initiative for Securing Antarctica's Environmental Future (SAEF) Program (SR200100005). S. A. acknowledges the Australian Research Council's Discovery Project (DP220101468). J. M. A. was partially supported by the Regional and Global Model Analysis component of the Earth and Environmental System Modeling Program of the U.S. Department of Energy's Office of Biological and Environmental Research via National Science Foundation IA 1947282. S.-W. S. was supported by the Korea Environment Industry &Technology Institute (KEITI) through "Climate Change R&D Project for New Climate Regime.", funded by the Korea Ministry of Environment (MOE) (2022003560004). G. L. Manney was supported by the Jet Propulsion Laboratory (JPL) Microwave Limb Sounder team under JPL subcontract #1521127 to NWRA, and by NSF Climate and Large-scale Dynamics Grant #2015906. This research was undertaken on the NCI National Facility in Canberra, Australia, which is supported by the Australian Commonwealth Government.
[ { "funder_name": "Department of the Energy", "awards": [ { "funding_scheme": [ "Environment, and Climate Action" ], "award_ids": [], "award_title": [] } ] }, { "funder_name": "Department of Climate Change, Energy, the Environment and Water", "awards": [ { "funding_scheme": [], "award_ids": [], "award_title": [] } ] }, { "funder_name": "Australian Research Council", "awards": [ { "funding_scheme": [], "award_ids": [ "SR200100005", "DP220101468" ], "award_title": [] } ] }, { "funder_name": "U.S. Department of Energy's Office of Biological and Environmental Research", "awards": [ { "funding_scheme": [], "award_ids": [], "award_title": [] } ] }, { "funder_name": "National Science Foundation", "awards": [ { "funding_scheme": [], "award_ids": [ "IA 1947282", "2015906" ], "award_title": [] } ] }, { "funder_name": "Korea Environment Industry &Technology Institute (KEITI)", "awards": [ { "funding_scheme": [], "award_ids": [], "award_title": [] } ] }, { "funder_name": "Korea Ministry of Environment (MOE)", "awards": [ { "funding_scheme": [], "award_ids": [ "2022003560004" ], "award_title": [] } ] }, { "funder_name": "Jet Propulsion Laboratory (JPL)", "awards": [ { "funding_scheme": [], "award_ids": [ "JPL subcontract #1521127" ], "award_title": [] } ] }, { "funder_name": "Australian Commonwealth Government", "awards": [ { "funding_scheme": [], "award_ids": [], "award_title": [] } ] } ]
10.21203/rs.3.rs-136815/v1
The staff at the MAX IV Laboratory and DESY are gratefully acknowledged for support during measurements. We acknowledge Edvin Lundgren, Lund University, for enlightening discussions on the oxidation and reduction chemistry of Pd(100). Financial support from the Swedish Research Council, grant numbers 2017-04840, 2017-03871, and 2013-8823, Knut and Alice Wallenberg Foundation under Grant No 2016.0042, the Swedish Foundation for Strategic Research under project number ITM 17-0034, and the Research Council of Norway, project number 280903, Per Westlings foundation is gratefully acknowledged.
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10.48550/arxiv.2308.14626
This study was funded by an FRQNT Team Grant (2022-PR-296459).
[ { "funder_name": "FRQNT", "awards": [ { "funding_scheme": [], "award_ids": [ "2022-PR-296459" ], "award_title": [] } ] } ]
10.48550/arxiv.2209.15597
This work was supported by the Cross-ministerial Strategic Innovation Promotion Program (SIP) Second Phase, "Big-data and AI-enabled Cyberspace Technologies" by the New Energy and Industrial Technology Development Organization (NEDO).
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10.1101/2020.03.17.995753
This study was supported by NIH Grants R01EY024140, R01EY028810, and R21EY028066 (to MCC). Our research is also supported in part by NIH Grant P30EY027125 (NIH CORE grant to MCC), a Presbyterian Health Foundation Research Support Grant (to MCC), a Presbyterian Health Foundation Equipment Grant (to Robert E. Anderson, OUHSC), and an unrestricted grant to the Dean A. McGee Eye Institute from Research to Prevent Blindness Inc. (http://www.rpbusa.org). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
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10.48550/arxiv.2305.12347
This work was supported by the National Natural Science Foundation of China (62272023, 51991391, 51991395).
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10.48550/arxiv.1706.00922
The work is supported by RFBR grant No 17-01-00633 A.
[ { "funder_name": "RFBR", "awards": [ { "funding_scheme": [], "award_ids": [ "17-01-00633 A" ], "award_title": [] } ] } ]
10.1101/385344
Research in the Kubicek lab is supported by the Austrian Federal Ministry of Science, Research and Economy, the National Foundation for Research, Technology, and Development. M.O., P.B. and J.F.daS. were supported by FWF grant awarded to J.L. (29555 and 29763).
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10.1101/438242
We are grateful to all the children, schools, and adult participants who took part in this study. This work was partially funded by the Economic and Social Research Council (ESRC), grant reference: 13115739 awarded to Natasha Kirkham and Denis Mareschal, supporting the PhD of Jessica Massonnié. Alexander Anwyl-Irvine's PhD is funded by the Templeton World Charity Foundation and the Medical Research Council awarded to Duncan Astle (TWCF no: 0159). Adam Flitton's PhD is funded by the ESRC.
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10.48550/arxiv.2304.06751
Acknowledgments We would like to thank Iosif Bena and Wati Taylor for useful discussions. This work was supported in part by the ERC Grant 772408 "Stringlandscape". The work of SL was in part supported by the NSF grant PHY-1915071. The work of BF was in part supported by the ERC starting Grant QGuide.
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10.1101/729160
excellent technical assistance with the TEM, supported by the Microscopy Core of the Center for Systems Biology/Program in Membrane Biology, which is partially an Inflammatory Bowel Disease Grant DK043351 and a Boston Area Diabetes and Endocrinology Research Center (BADERC) Award DK057521. This work was supported by NIH Grant EY020902. The patient derived cells were generated with the support of RP Fighting Blindness (GR595), Fight for Sight (1456/1457), and ERC (CoG_614620). The authors declare no competing interest.
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10.48550/arxiv.1711.03091
The authors would like to thank Yishay Mansour for valuable feedback and discussion. This work was supported in part by NSF grants CCF-1422910, CCF-1535967, IIS-1618714, an Amazon Research Award, a Microsoft Research Faculty Fellowship, a Google Research Award, a NSF Graduate Research Fellowship, and a Microsoft Research Women's Fellowship.
[ { "funder_name": "NSF", "awards": [ { "funding_scheme": [], "award_ids": [ "CCF-1422910", "CCF-1535967", "IIS-1618714" ], "award_title": [ "NSF Graduate Research Fellowship" ] } ] }, { "funder_name": "Amazon", "awards": [ { "funding_scheme": [], "award_ids": [], "award_title": [ "Amazon Research Award" ] } ] }, { "funder_name": "Microsoft Research", "awards": [ { "funding_scheme": [], "award_ids": [], "award_title": [ "Microsoft Research Faculty Fellowship" ] }, { "funding_scheme": [], "award_ids": [], "award_title": [ "Microsoft Research Women's Fellowship" ] } ] }, { "funder_name": "Google", "awards": [ { "funding_scheme": [], "award_ids": [], "award_title": [ "Google Research Award" ] } ] } ]
10.48550/arxiv.2110.06710
The second-named and third-named authors received support from the EIPHI Graduate School (contract ANR-17-EURE-0002).
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10.21203/rs.3.rs-156767/v1
This work was supported by Guangxi Key Laboratory of Trusted Software (KX202049), Guangxi science and technology base and talent project (2020AC19134), National Natural Science Foundation of China (41504037), as well as the National key R & D plan of China (2018YFC1503806). In the process of the project, we got the professional help and guidance from Professor Li Jingchao, Professor Wang Chengxi, Dr. Zheng Xiao and other teachers from the development center of China Geological Survey. We also expressed our thanks for the valuable opinions on the algorithm used in the project.
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10.48550/arxiv.1807.00664
Acknowledgement This work was partially supported by the Wallenberg AI, Autonomous Systems and Software Program (WASP) funded by the Knut and Alice Wallenberg Foundation
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10.1101/342816
This work was supported by the European Research Council (EVOBREED) [322621] and a Gatsby Fellowship [AT3273/GLE].
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10.21203/rs.3.rs-1685436/v1
The authors are also grateful for the support to this study given by NASA BPS, NASA MSFC, NASA JSC, NSF-CASIS, and Teledyne-Brown Engineering. | This work was supported by NASA Grant 80NSSC20K1726 and NSF Grant 1929134.
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10.48550/arxiv.0705.3524
The author is supported by Grand-in-Aid for JSPS fellowships.
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10.48550/arxiv.2304.05476
The authors thank Universitätsrechenzentrum Greifswald for supporting this work by providing computational resources. R.K. acknowledges funding through a 'María Zambrano' postdoctoral grant at University of Barcelona financed by the Spanish Ministerio de Universidades and the European Union (Next Generation EU/PRTR).
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10.1101/2021.12.16.472014
This research was supported by National Institutes of Health award numbers R01-CA228358 (M.R.M.vdB), R01-CA228308 (M.R.M.vdB), R01-HL123340 (M.R.M.vdB), R01-HL147584 (M.R.M.vdB), P01-CA023766 (M.R.M.vdB), R00-CA176376 (J.A.D.), R01-HL145276 (J.A.D.), P01-AG052359 (J.A.D and M.R.M.vdB), and the NCI Cancer Center Support Grants P30-CA015704 (J.A.D.) and P30 CA008748 (M.R.M.vdB). M.R.M.vdB also received support from the Starr Cancer Consortium, the Tri-Institutional Stem Cell Initiative, The Lymphoma Foundation, The Susan and Peter Solomon Divisional Genomics Program, Cycle for Survival, and the Parker Institute for Cancer Immunotherapy. J.A.D received additional support from a Scholar Award from the American Society of Hematology (J.A.D.); the Mechtild Harf (John Hansen) Award from the DKMS Foundation for Giving Life (J.A.D.); the Cuyamaca Foundation (J.A.D.); and the Bezos Family Foundation (J.A.D.). LJ received support from the European Molecular Biology Organization (ALTF-431-2017) and the MSK Sawiris Foundation.
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10.48550/arxiv.2403.18676
JMD acknowledges support from the Olle Engkvist Foundation: 194-0734 and the Knut and Alice Wallenberg Foundation: 2019.0154. CV acknowledges support from the Swedish Research Council (grant number 2022-04486) FZ acknowledges support from the Ministerio de Universidades, el Plan de Recuperación, Transformación y Resilencia y la Universidad Autónoma de Madrid: CA1/RSUE/2021-00352 and the MSCA H2020 programme: 101034324.
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10.1101/472092
This work was supported by Bundesministerium für Bildung und Forschung (BMBF, 0315892B), DFG (EXC306), University of Lübeck (P01-2012), as well as by the Swiss National Science Foundation (Schweizerischer Nationalfonds, SNF 31003A_156031) the Horizon 2020 program of the European Union (M.R.).
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10.31234/osf.io/eanku
This research was supported by NSF grant BCS-1255538, the John Templeton Foundation "Varieties of Understanding" project, a John S. McDonnell Foundation Scholar Award to TMG, and the Moore-Sloan Data Science Environment at NYU.
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10.1101/2022.02.13.480233
This work is supported by National Key Research and Development Program of China (2020YFA0907803) and Xbiome Biotech Co. Ltd.
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10.48550/arxiv.2410.04984
We thank Yanyi Liu and Angelos Pelecanos for collaborating on an earlier stage of this project. We thank the Simons Institute for the Theory of Computing for hosting the Meta-Complexity program where this collaboration began. B. Cavalar acknowledges support of Royal Society University Research Fellowship URF\R1\211106. Eli Goldin is supported by a NSF Graduate Student Research Fellowship.
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10.21203/rs.3.rs-20962/v2
This research was funded by the National Natural Science Foundation of China (31972964), the Fundamental Research Funds for the Central Universities (2452019168) and Programme of Introducing Talents of Innovative Discipline to Universities (Project 111) from the State Administration of Foreign Experts Affairs (#B18042) "Crop breeding for disease resistance and genetic improvement". The funding bodies have no role in the design of the study and collection, analysis and interpretation of data, and in writing the manuscript, but just provide the financial supports.
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10.48550/arxiv.2110.11457
The authors thank I. El Mahi, and A. Ratnani for fruitful discussions and helpful comments. This work was partially supported by the HPC Project Alkhwarizmi department, MSDA-UM6P.
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10.21203/rs.3.rs-1954301/v1
Fundings/Support: This study was supported by grants (numbers 19H01114, 18KK0253, and 20K09784) from the Ministry of Education, Culture, Sports, Science and Technology of Japan; the Translational Research program; the Strategic Promotion for Practical Application of Innovative Medical Technology (TR-SPRINT) from the Japan Agency for Medical Research and Development (AMED) and Japan Glaucoma Society Research Project Support Program. We would like to thank Editage (www.editage.com) for English language editing.
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10.48550/arxiv.2407.05278
Acknowledgments: This work was supported by the Analytical Center for the Government of the Russian Federation (agreement identifier 000000D730324P540002, grant No 70-2023-001317 dated 28.12.2023.
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10.48550/arxiv.2102.12626
This work was supported by the Natural Science Foundation of Jiangsu Province (BK20181167, BK20180042), National Natural Science Foundation of China (61675142, 61875143), Opening Project of State Key Laboratory of High Performance Ceramics and Superfine Microstructure (SKL201912SIC), and the Priority Academic Program Development (PAPD) of Jiangsu Higher Education Institutions.
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10.21203/rs.3.rs-1693987/v1
This work was supported by the USDA National Institute of Food and Agriculture under award number 2018-38640-28418 through the Western Region SARE program under project number SW19-906. The USDA National Institute of Food and Agriculture, McIntire Stennis grant number 9047M, managed by the College of Tropical Agriculture and Human Resources. USDA APHIS Farm Bill AP19PPQS&T00C159 (APP-10412). The strains were maintained by grant support from National Science Foundation (Award No. 1561663).
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10.1101/2023.07.07.23292355
This study was funded by Fond de Recherche et Enseignement en Orthopédie de Sherbrooke (FREOS). GL received salary support by the Fonds de recherche du Québec – Santé (FRQS).
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10.1101/2022.11.14.515727
This work was equally supported by a National Research Foundation of Korea (NRF) grant (2016R1A5A2945889 to I.H. and J.Y.A.) funded by the Ministry of Science and ICT (MSIT) of Korea and the Technology Innovation Program (20008413 to J.Z., Z.C., J.H., and S.P.) funded by the Ministry of Trade, Industry, & Energy (MOTIE) of Korea, and the Fostering Global Talents for Innovative Growth Program (P0008746 to W.L.) supervised by the Korea Institute for Advancement of Technology (KIAT).
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10.48550/arxiv.2110.11684
This work was supported by Natural Science Foundation of China, Grant/Award Number: 61836013; Beijing Natural Science Foundation, Grant/Award Number: 4212030; Beijing Technology, Grant/Award Num-ber:Z191100001119090; Key Research Pr gram of Frontier Sciences, CAS, Grant/Award Number:ZDBS-LY-DQC016.
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10.21203/rs.2.19185/v2
This work was funded by the National Natural Sciences Foundation of China (31571986) and the National Basic Research Program of China (2013CB127502).
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10.1101/2024.03.23.585817
The authors thank C. Duvall for use of IVIS Imaging System. We thank the core facilities of the VUMC Flow Cytometry Shared Resource, supported by the Vanderbilt Digestive Disease Research Center (DK058404) and the Vanderbilt Ingram Cancer Center (P30 CA68485), the Vanderbilt Institute of Nanoscale Sciences and Engineering (VINSE), the Vanderbilt University Small Molecular NMR Facility, and Translational Pathology Shared Resource supported by NCI/NIH Cancer Center Support Grant P30CA068485. This research was supported by grants from the Susan G. Komen (CCR19609205 to JTW), The National Institutes of Health (R01 CA245134 to JTW), the National Science Foundation (CBET-1554623 to JTW), a Vanderbilt Ingram Cancer Center (VICC) Ambassador Discovery Grant (JTW), VICC Support Grant (P30 CA068485), and funds provided by the Vanderbilt University School of Engineering (JTW). BRK acknowledges postdoctoral funding support from the PhRMA Foundation Postdoctoral Fellowship in Drug Delivery. AJK was supported by the NIH Microenvironmental Influences in Cancer Training Grant (T32CA009592). TLS acknowledge funding support through the National Science Foundation Graduate Research Fellowship Program under grant number 193793. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. Schematics were made using Biorender.com.
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10.1101/2021.01.06.425147
We thank Dr. Nick Dyson for critical reading of the manuscript. We thank Michael Koulopoulos, Dr. Narges Rashidi, MGH Pathology Core Facility, MGH Flow and Mass Cytometry Core Facility for experimental assistance. This work was supported by funding from the ESSCO Breast Cancer Research Fund (S.M), BCRF Drug Research Collaborative (S.M.) NIH/NCI (U01CA214297; S.M., D. A. H., M.T.) NIH P41 BioMEMS Resource Center (EB002503; M.T.), NIH/NIBIB (EB012493; M.T.), the Howard Hughes Medical Institute (D.A.H.), NIH/NCI (2R01CA129933; D.A.H.), National Foundation for Cancer Research (D.A.H.), Shriners Hospital for Children Mass Spectrometry Special Shared Facility (N.M.K.), Harvard Medical School Eleanor and Miles Shore Fellowship (N.M.K) and Tosteson & Fund for Medical Discovery Fellowship (N.M.K.).
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10.48550/arxiv.2407.15725
This work has been supported by the Swiss National Science Foundation through the NCCR SPIN (grant no. 51NF40-180604).
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10.48550/arxiv.2002.10754
Acknowledgements. P.-T. Nguyen is supported by Czech Science Foundation, project GJ19 - 14413Y. Part of this research was carried out by P.-T. Nguyen during a visit at the Hausdorff Research Institute for Mathematics (HIM), through the Trimester Program "Evolution of Interfaces". P.-T. Nguyen gratefully acknowledges the support of the HIM. The authors wish to thank Professor L. Véron for many useful comments which help to improve the manuscript.
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10.48550/arxiv.2311.02307
S.S. is supported in part by the National Key Research and Development Program of China under Grant No. 2022YFA1604900, 2020YFE0202002, and the National Natural Science Foundation of China under Grant No. 12175084, 11890710 (11890711). Z.-W.L is supported by the National Science Foundation under Grant No. 2012947 and 2310021.
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10.1101/2022.11.28.518276
This work was supported by DARPA (W922NF-20-2-0137) to TCB. In addition, this work was made possible in part through support from an Institutional Development Award (IDeA) from the National Institute of General Medical Sciences of the National Institutes of Health (Grant # 2P20GM103432). MHP was supported in part by the Wyoming NASA Space Grant Consortium, NASA Grant #80NSSC20M0113, INBRE undergraduate research grant through the Institutional Development Award (IDeA) from the National Institute of General Medical Sciences of the National Institutes of Health under Grant #2P20GM103432, and the Wyoming Research Scholars Program. The authors are thankful to members of the Boothby Lab for discussions and reading of this manuscript. We thank members of the Water and Life Interface Institute (WALII), supported by NSF DBI grant #2213983, for helpful discussions.
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10.48550/arxiv.2308.04605
This work is supported in part by the US Department of Energy SciDAC program DE-SC0021360 and DE-SC0023193, National Science Foundation Division of Information and Intelligent Systems IIS-1955764, and Los Alamos National Laboratory Contract C3435.
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10.21203/rs.3.rs-2777537/v1
This study was supported in part by funds from the MECP2 Duplication Foundation and part with federal funds from the US Department of Agriculture, Agricultural Research Service (Cooperative Agreement Number 58-3092-5-001). The content of this publication does not necessarily reflect the views or policies of the US Department of Agriculture, nor does mention of trade names commercial products, or organizations imply endorsement by this agency. | DP is supported by the International Rett Syndrome Foundation (IRSF grant #3701-1), Rett Syndrome Research Trust, and NINDS (1K23 NS125126-01A1), and BS and DGG are supported by the Blue Bird Circle Foundation. The MECP2 Duplication Foundation funded the establishment and maintenance of the online MDS server. MA receives salary support from MECP2 Duplication Foundation.
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10.48550/arxiv.2112.06523
We thank Y. Xu for helpful discussions. This research was funded by the National Natural Science Foundations of China (Grant No. 12034004, No. 11774061, and No. 11774306), the Shanghai Municipal Science and Technology (Major Project Grant No. 2019SHZDZX01 and No. 20ZR1405300), the National Research and Development Program of China, No. 2016YFA0300503, and the Strategic Priority Research Program of Chinese Academy of Sciences (No. XDB28000000).
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10.1101/2021.09.10.459444
This work was funded by the Kenneth Rainin Foundation (Innovator Award 2016-1280). | The flow cytometry work was performed in the Flow Cytometry Core Facility of the Life Science Complex and supported by funding from the Canadian Foundation for Innovation. | AS is supported by a Canadian Institute of Health Research (CIHR) fellowship (170921). | YL was supported by a Richard and Edith Strauss Postdoctoral Fellowship in Medicine.
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10.48550/arxiv.2208.11322
The second author is supported by the University Grants Commission, Govt. of India.
[ { "funder_name": "University Grants Commission, Govt. of India", "awards": [ { "funding_scheme": [], "award_ids": [], "award_title": [] } ] } ]
10.48550/arxiv.1909.00897
The authors would like to thank DGAPA-UNAM for financial support by grants AG100317, IA102019 and DIGED-USAC.
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10.1101/2021.08.06.455364
Funding: This work was supported by an SNF grant (S-41260-01-01) to T.K and a Deutsche Forschungsgemeinschaft grant Lu375/15-1 to H.J.L.
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10.21203/rs.3.rs-3246214/v1
This work was supported by the Key Research and Development Program of Sichuan Province (2023YFS0368).In addition, during the writing process of this article, we received assistance and support from Dr. Xiaoyu Gan from the School of Architecture and Environment at Sichuan University, and Dr. Diwei Tang from the College of Forestry and Horticulture at Hubei Minzu University. We would like to express our gratitude for their help.
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10.48550/arxiv.2102.07288
This work is funded in part by National Science Foundation Smart and Connected Communities grant NSF-1831698.
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10.48550/arxiv.0807.2286
Acknowledgements. This paper is part of my PhD thesis. I would like to thank my advisor Michel Emsalem for his guidance and his constant encouragement. This work has been partially supported by the Università degli Studi di Milano. I also would like to thank Matthieu Romagny, Carlo Gasbarri and Dajano Tossici for useful comments and discussions. Finally I would like to thank an anonymous referee for his suggestions, corrections and some improvements.
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10.1101/2022.02.26.482011
The research was supported in part by the DAAD funded by the Bundesministeriums für Bildung und Forschung (BMBF) (PPP USA 2018, 57387214) as well as the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement no. 812954.
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10.31235/osf.io/fe4rj
This research was funded by the Volkswagen Foundation, project "Transformations of privacy." The funding source had no involvement in the study design, data collection, analysis and interpretation of data, writing of the report, and decision to submit the article for publication.
[ { "funder_name": "Volkswagen Foundation", "awards": [ { "funding_scheme": [ "Transformations of privacy" ], "award_ids": [], "award_title": [] } ] } ]
10.1101/2021.12.21.473683
The work was supported by EMBL and the European Research Council (ERC) Advanced Grant COREFEAR to C.T.G.
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10.1101/2022.02.28.482127
S.W. is supported in part by an NIDCR K99 Pathway to Independence Award (K99 DE27982). This work is supported by the NIH Intramural Research Program (NIDCR, ZIA DE000525).
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10.48550/arxiv.1210.2594
ACKNOWLEDGMENT. Both authors funded have been partially funded by Project MTM2011-24696 (Spain). We are grateful to A. de Pablo, F. Quirós and A. Rodriguez for discussions of the topic, and to the referee for enlightening suggestions.
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10.21203/rs.3.rs-47935/v1
Research funding was provided for by AstraZeneca pharmaceuticals. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
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10.21203/rs.3.rs-418346/v1
This work was supported by the National Nature Science Foundation of China (Grant No. 81773247).
[ { "funder_name": "National Nature Science Foundation of China", "awards": [ { "funding_scheme": [], "award_ids": [ "81773247" ], "award_title": [] } ] } ]
10.48550/arxiv.physics/0011039
One of the authors (AK) is grateful to the Humboldt Foundation for support of this work and to his co-author for his hospitality.
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10.1101/2023.12.03.569795
This work was supported by Kakenhi Grant-in-Aid for Scientific Research (23H02492, 22K06189) from the Japan Society for the Promotion of Science. X. Z is supported by JST SPRING (JPMJSP2108).
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10.48550/arxiv.1910.06043
This work was supported in part by the National Natural Science Foundation of China (Grant No. 61971382)
[ { "funder_name": "National Natural Science Foundation of China", "awards": [ { "funding_scheme": [], "award_ids": [ "61971382" ], "award_title": [] } ] } ]
10.1101/2022.02.17.480956
by NIH grants R01 AI130471 and CA228019, and award I01 BX-002919 from the Department of Veterans Affairs to ECB. TTD was the recipient of a fellowship under NIH training grant T32 AI07290 from the NIAID and T32 HL098049 from the National Heart, Lung, and Blood Institute, and was supported by an AHA Postdoctoral Fellowship and the Stanford Cardiovascular Institute. KB was supported by NIH F32 CA200103. YW was supported by Knut and Alice Wallenberg Foundation KAW 2018.0423. MX was supported by the Tobacco-Related Disease Research Program of University of California, grant T31FT1867. SR and KRH was funded by The New York Stem Cell Foundation (NYSCF-Robertson Investigator to KRH). PB is supported by GINOP 2.3.2-15-2016-00050 and EFOP 3.6.1-16-2016-00004 grants.
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10.48550/arxiv.1911.05299
This work was partially supported by TIM through the research contract "Multi-access Edge Computing", and by the European Commission through the Horizon 2020 project 5G-CARMEN (grant agreement no. 825012).
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10.1101/2023.04.21.537664
All Authors acknowledge the funding support from EMBL. We would like to acknowledge the Flow Cytometry Unit of the Center for Genomic Regulation for consultation in data acquisition and analysis, Joana Rafaela Mendonca da Silva for the help with data analysis.
[ { "funder_name": "EMBL", "awards": [ { "funding_scheme": [], "award_ids": [], "award_title": [] } ] } ]
10.31234/osf.io/f59w4
This work was supported by a fellowship of the Research Foundation Flanders (FWO), awarded to KH (12J9722N).
[ { "funder_name": "Research Foundation Flanders (FWO)", "awards": [ { "funding_scheme": [], "award_ids": [ "12J9722N" ], "award_title": [] } ] } ]
10.48550/arxiv.1110.1397
The second author gratefully acknowledges support from the Sloan Foundation and the National Science Foundation.
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10.21203/rs.3.rs-4332983/v1
This study was supported by the National Natural Science Foundation of China (NO. 82360441), projects funded by the Science and Technology Department of Jilin Province (No.20200201492JC and YDZJ202201ZYTS161).
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10.26434/chemrxiv-2022-9pl01
assistance. Generous financial support from SNSF (20020_182633) and ERC (CoG 653) are greatly acknowledged.
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10.21203/rs.3.rs-274063/v1
This study was funded by the Swedish Research Council for Health, Working life and Welfare (FORTE, grant number 2016-07194 and 2016-00426), and the Swedish Ministry of employment. The funders had no role in the study design, data analysis, or preparation of the manuscript.
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10.1101/2020.10.20.20215806
This work was supported by the National Natural Science Foundation of China (Grant number: 81872704).
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10.48550/arxiv.0706.3546
This research is sponsored by grants from the Laboratory Directed Research and Development Program of Oak Ridge National Laboratory (ORNL), managed by UT-Battelle, LLC for the U. S. Department of Energy under Contract No. DE-AC05-00OR22725 and the Natural Sciences and Engineering Research Council of Canada and Canadian Foundation for Innovation.
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10.48550/arxiv.1605.07321
The research by Pavle V. M. Blagojević leading to these results has received funding from DFG via Collaborative Research Center TRR 109 "Discretization in Geometry and Dynamics." Also supported by the grant ON 174008 of the Serbian Ministry of Education and Science. | The research by Günter M. Ziegler received funding from DFG via the Research Training Group "Methods for Discrete Structures" and the Collaborative Research Center TRR 109 "Discretization in Geometry and Dynamics."
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10.21203/rs.3.rs-1486390/v1
The authors thank Dr. José A. Correa, Department of Mathematics and Statistics, McGill University for his advice in the statistical analysis of the behaviour data and representation of the results. The work was supported by a Natural Sciences and Engineering Research Council of Canada (NSERC) grant to M.E.S. and the behaviour equipment and Ethovision XT software was purchased with The Canadian Foundation for Innovation Fund. S.C.N. thanks Fonds Québécois de la Recherche sur la Nature et les Technologies (FRQNT) for a Doctoral Research Scholarship. Funding agencies had no role in the study design, collection, analysis or interpretation of data, or writing of the manuscript.
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10.48550/arxiv.2403.15545
N.B., T.M., and A.V. acknowledge support by the DFG cluster of excellence ORIGINS funded by the Deutsche Forschungsgemeinschaft (DFG) under Germany's Excellence Strategy - EXC-2094390783311. The work of N.B. is supported by the DFG Grant No. BR 4058/5-1 "Open Quantum Sytems and Effective Field Theories for hard probes of hot and/or dense medium". N.B., T.M., and A.V. acknowledge support from STRONG-2020, European Union's Horizon 2020 research and innovation program under grant agreement No. 824093. M.S. was supported by the U.S. Department of Energy, Office of Science, Office of Nuclear Physics (Nuclear Theory) under contract number DE-SC0013470. P.V.G. was supported by the U.S. Department of Energy Award No. DE-SC0019095. P.V.G. is grateful for the support and hospitality of the Fermilab theory group. Fermilab is operated by Fermi Research Alliance, LLC under Contract No. DE-AC02-07CH11359 with the United States Department of Energy.
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10.48550/arxiv.1811.09473
¹This work was supported by the National Natural Science Foundation of China under Grants 41431175, 61471274, 61771349, and 61711530239.
[ { "funder_name": "National Natural Science Foundation of China", "awards": [ { "funding_scheme": [], "award_ids": [ "41431175", "61471274", "61771349", "61711530239" ], "award_title": [] } ] } ]
10.21203/rs.3.rs-16949/v1
JME - supported by the National Institutes of Health (NIH) through Grant Numbers R01HD079076 and R03HD094577: Eunice Kennedy Shriver National Institute of Child Health & Human Development; National Center for Medical Rehabilitation Research. DMW – data for the SYMBIOME project were supported by a Canadian Pain Society Early Career Investigator Award, an Ontario Ministry of Research and Innovation Early Researcher Award, and funding from the Strategy for Patient-Oriented Research (SPOR) program for chronic pain jointly funded by the Canadian Institutes of Health Research and matching industry partners. All funders were arm’s length and had no influence on the interpretation or reporting of results. | Joy MacDermid was supported by a Canadian Institutes of Health Research Chair in Gender, Work and Health and the Dr. James Roth Chair in Musculoskeletal Measurement and Knowledge Translation.
[ { "funder_name": "National Institutes of Health (NIH)", "awards": [ { "funding_scheme": [], "award_ids": [ "R01HD079076", "R03HD094577" ], "award_title": [] } ] }, { "funder_name": "Canadian Pain Society", "awards": [ { "funding_scheme": [], "award_ids": [ "Early Career Investigator Award" ], "award_title": [] } ] }, { "funder_name": "Ontario Ministry of Research and Innovation", "awards": [ { "funding_scheme": [], "award_ids": [ "Early Researcher Award" ], "award_title": [] } ] }, { "funder_name": "Canadian Institutes of Health Research", "awards": [ { "funding_scheme": [], "award_ids": [ "Chair in Gender, Work and Health" ], "award_title": [] } ] }, { "funder_name": "Dr. James Roth", "awards": [ { "funding_scheme": [], "award_ids": [], "award_title": [] } ] }, { "funder_name": null, "awards": [ { "funding_scheme": [ "Strategy for Patient-Oriented Research (SPOR) program" ], "award_ids": [], "award_title": [] } ] } ]
10.26434/chemrxiv-2022-n9d4z
We gratefully acknowledge The Royal Society [University Research Fellowship, UF140161 and URF\R\201019 (to J.A.B.), URF Appointed Grant RG150444 and URF Enhancement Grant RGF\EA\180031], Pfizer and Imperial College London for studentship funding (M.D. and J.J.R.) and EPSRC Centre for Doctoral training in Next Generation Synthesis and Reaction Technology (EP/S023232/1) for a studentship to H.A.B]. We thank Richard P. Loach and Thomas Knauber (Pfizer) for valuable discussion and training. A. J. S. thanks the EPSRC Centre for Doctoral Training in Synthesis for Biology and Medicine for a studentship (EP/L015838/1), the Oxford-Radcliffe Scholarship for a studentship, and the EPSRC Doctoral Prize (EP/T517811/1) for support. This work used the Cirrus UK National Tier-2 HPC Service at EPCC (http://www.cirrus.ac.uk) funded by the University of Edinburgh and EPSRC (EP/P020267/1).
[ { "funder_name": "The Royal Society", "awards": [ { "funding_scheme": [], "award_ids": [ "UF140161", "URF\\R\\201019", "RG150444", "RGF\\EA\\180031" ], "award_title": [ "University Research Fellowship" ] }, { "funding_scheme": [], "award_ids": [ "RG150444" ], "award_title": [ "URF Appointed Grant" ] }, { "funding_scheme": [], "award_ids": [ "RGF\\EA\\180031" ], "award_title": [ "URF Enhancement Grant" ] } ] }, { "funder_name": "Pfizer", "awards": [ { "funding_scheme": [], "award_ids": [], "award_title": [] } ] }, { "funder_name": "Imperial College London", "awards": [ { "funding_scheme": [], "award_ids": [], "award_title": [] } ] }, { "funder_name": "EPSRC Centre for Doctoral training in Next Generation Synthesis and Reaction Technology", "awards": [ { "funding_scheme": [], "award_ids": [ "EP/S023232/1" ], "award_title": [] } ] }, { "funder_name": "EPSRC Centre for Doctoral Training in Synthesis for Biology and Medicine", "awards": [ { "funding_scheme": [], "award_ids": [ "EP/L015838/1" ], "award_title": [] } ] }, { "funder_name": "EPSRC", "awards": [ { "funding_scheme": [], "award_ids": [ "EP/T517811/1" ], "award_title": [ "Doctoral Prize" ] }, { "funding_scheme": [], "award_ids": [ "EP/P020267/1" ], "award_title": [] } ] }, { "funder_name": "University of Edinburgh", "awards": [ { "funding_scheme": [], "award_ids": [], "award_title": [] } ] } ]
10.48550/arxiv.1206.6748
* Work partially supported by DGI grant MTM2010-21206-C02-02. | Work partially supported by the Caixa Castelló Foundation, and DGI grant MTM2010-21206-C02-02.
[ { "funder_name": "DGI", "awards": [ { "funding_scheme": [], "award_ids": [ "MTM2010-21206-C02-02" ], "award_title": [] } ] }, { "funder_name": "Caixa Castelló Foundation", "awards": [ { "funding_scheme": [], "award_ids": [], "award_title": [] } ] } ]
10.1101/572370
KMT received funding from the NSF Graduate Research Fellowship Program DGE1144152, DEG1745303. JMG's lab is supported by NIHMH116223, the Harvard-Armenise Foundation, and the Kaneb family. We thank Ricardo Henriques for the LaTeX bioRxiv paper template.
[ { "funder_name": "NIHMH", "awards": [ { "funding_scheme": [], "award_ids": [ "MH116223" ], "award_title": [] } ] }, { "funder_name": "Harvard-Armenise Foundation", "awards": [ { "funding_scheme": [], "award_ids": [], "award_title": [] } ] }, { "funder_name": "Kaneb family", "awards": [ { "funding_scheme": [], "award_ids": [], "award_title": [] } ] } ]
10.48550/arxiv.2312.15497
The author would like to thank the Engineering and Physical Sciences Research Council (EPSRC) grants no. EP/T021969/1 (Multi-energy Control of Cyber-Physical Urban Energy System), EP/S00078X/2 (Supergen Energy Networks hub 2018) and EP/Y016114/1 (Supergen Energy Networks Impact Hub 2023) for supporting this work.
[ { "funder_name": "Engineering and Physical Sciences Research Council (EPSRC)", "awards": [ { "funding_scheme": [], "award_ids": [ "EP/T021969/1" ], "award_title": [ "Multi-energy Control of Cyber-Physical Urban Energy System" ] }, { "funding_scheme": [], "award_ids": [ "EP/S00078X/2" ], "award_title": [ "Supergen Energy Networks hub 2018" ] }, { "funding_scheme": [], "award_ids": [ "EP/Y016114/1" ], "award_title": [ "Supergen Energy Networks Impact Hub 2023" ] } ] } ]
10.48550/arxiv.2010.14846
Aknowledgements. The authors would like to thank Camillo De Lellis for his interest in the problem and some preliminary discussions. This work was developed while R. T. was finishing his PhD at the University of Zürich, and is now supported by the SNF Grant 200021_182565. J. H. was partially supported by the German Science Foundation DFG in the context of the Priority Program SPP 2026 Geometry at Infinity.
[ { "funder_name": "SNF", "awards": [ { "funding_scheme": [], "award_ids": [ "200021_182565" ], "award_title": [] } ] }, { "funder_name": "German Science Foundation DFG", "awards": [ { "funding_scheme": [ "Priority Program SPP 2026 Geometry at Infinity" ], "award_ids": [], "award_title": [] } ] } ]
10.26434/chemrxiv.13077374.v1
This work was supported by the U.S. National Science Foundation (No. CHE-1856342). YM was supported by China Scholarship Council during her stay at USC. IVP and BLG thank the Russian Science Foundation (17-13-01051) for the financial support of this study. IVP, BLG, and AVN acknowledge the use of computing facilities of supercomputer resources of the Joint Supercomputer Center of the Russian Academy of Sciences and the equipment of the shared research facilities of HPC computing resources at the Lomonosov Moscow State University.
[ { "funder_name": "U.S. National Science Foundation", "awards": [ { "funding_scheme": [], "award_ids": [ "CHE-1856342" ], "award_title": [] } ] }, { "funder_name": "China Scholarship Council", "awards": [ { "funding_scheme": [], "award_ids": [], "award_title": [] } ] }, { "funder_name": "Russian Science Foundation", "awards": [ { "funding_scheme": [], "award_ids": [ "17-13-01051" ], "award_title": [] } ] } ]
10.1101/2023.08.17.553724
This work was supported by the NIH-DP2GM126898 grant (awarded to H.Y.) and American Heart Association Predoctoral fellowship (#20PRE35120162, awarded to T.L.).
[ { "funder_name": "NIH", "awards": [ { "funding_scheme": [], "award_ids": [ "DP2GM126898" ], "award_title": [] } ] }, { "funder_name": "American Heart Association", "awards": [ { "funding_scheme": [ "Predoctoral fellowship" ], "award_ids": [ "20PRE35120162" ], "award_title": [] } ] } ]
10.48550/arxiv.2405.10361
We thank the referee for the detailed comments. The au- thors would like to thank Luke Keyte and Dylan T. Natoewal for the use- ful discussions on the DALI modelling. In addition, Michiel Hogerheijde is thanked for the discussion on water in the HD 100546 disk. This work is sup- ported by grant 618.000.001 from the Dutch Research Council (NWO). As- trochemistry in Leiden is supported by funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and inno- vation programme (grant agreement No. 101019751 MOLDISK), by the Nether- lands Research School for Astronomy (NOVA). This paper makes use of the following ALMA projects: 2011.0.00863.S, 2015.1.00806.S, 2016.1.00344.S, 2018.1.00141.S, 2021.1.00738.S. ALMA is a partnership of ESO (representing its member states), NSF (USA) and NINS (Japan), together with NRC (Canada), MOST and ASIAA (Taiwan), and KASI (Republic of Korea), in cooperation with the Republic of Chile. The Joint ALMA Observatory is operated by ESO, AUI/NRAO and NAOJ. The National Radio Astronomy Observatory is a facil- ity of the National Science Foundation operated under cooperative agreement by Associated Universities, Inc.
[ { "funder_name": "Dutch Research Council (NWO)", "awards": [ { "funding_scheme": [], "award_ids": [ "618.000.001" ], "award_title": [] } ] }, { "funder_name": "European Research Council (ERC)", "awards": [ { "funding_scheme": [ "European Union’s Horizon 2020 research and inno-\nvation programme" ], "award_ids": [ "101019751" ], "award_title": [] } ] }, { "funder_name": "Nether-\nlands Research School for Astronomy (NOVA)", "awards": [ { "funding_scheme": [], "award_ids": [], "award_title": [] } ] } ]
10.48550/arxiv.1601.05742
The author would like to thank Tiziano Peraro for useful discussions. This work is supported by Fondazione Cassa di Risparmio di Padova e Rovigo (CARIPARO) and by Padua University Project CPDA144437. The Feynman diagrams depicted in this paper were generated using FEYNARTS [22].
[ { "funder_name": "Fondazione Cassa di Risparmio di Padova e Rovigo (CARIPARO)", "awards": [ { "funding_scheme": [], "award_ids": [], "award_title": [] } ] }, { "funder_name": "Padua University", "awards": [ { "funding_scheme": [], "award_ids": [ "CPDA144437" ], "award_title": [] } ] } ]
10.1101/2021.08.30.458274
This work was supported by Skoltech NGP Program (Skoltech-MIT joint project) and by the Russian Science Foundation (Grant 19-74-00011 to M. L. Sokolova). The work was also supported by the UTMB Department of Biochemistry and Molecular Biology and by the UTMB Sealy Center for Structural Biology and Molecular Biophysics. The MD work was performed using the computing facilities of the Texas Advanced Computing Center (TACC, http://www.tacc.utexas.edu) at The University of Texas for which we are very grateful. We thank the Stanford-SLAC Cryo-EM Facilities, supported by Stanford University, SLAC and the National Institutes of Health S10 Instrumentation Programs that were used to collect the AR9 nvRNAP holoenzyme cryo-EM data. We acknowledge the use of the Advanced Photon Source, a U.S. Department of Energy (DOE) Office of Science User Facility operated for the DOE Office of Science by Argonne National Laboratory under Contract No. DE-AC02-06CH11357. We thank the staff of the LS-CAT Sector 21 beamlines that is supported by the Michigan Economic Development Corporation and the Michigan Technology Tri-Corridor (Grant 085P1000817). We acknowledge the use of the Berkeley Center for Structural Biology (supported in part by the Howard Hughes Medical Institute) at the Advanced Light Source (a Department of Energy Office of Science User Facility under Contract No. DE-AC02-05CH11231) and we thank the staff of the beamline 5.0.2.
[ { "funder_name": "Skoltech", "awards": [ { "funding_scheme": [ "NGP Program (Skoltech-MIT joint project)" ], "award_ids": [], "award_title": [] } ] }, { "funder_name": "Russian Science Foundation", "awards": [ { "funding_scheme": [], "award_ids": [ "19-74-00011" ], "award_title": [] } ] }, { "funder_name": "UTMB", "awards": [ { "funding_scheme": [ "Department of Biochemistry and Molecular Biology" ], "award_ids": [], "award_title": [] }, { "funding_scheme": [ "Sealy Center for Structural Biology and Molecular Biophysics" ], "award_ids": [], "award_title": [] } ] }, { "funder_name": "Texas Advanced Computing Center (TACC)", "awards": [ { "funding_scheme": [], "award_ids": [], "award_title": [] } ] }, { "funder_name": "Stanford University", "awards": [ { "funding_scheme": [ "Stanford-SLAC Cryo-EM Facilities" ], "award_ids": [], "award_title": [] } ] }, { "funder_name": "SLAC", "awards": [ { "funding_scheme": [], "award_ids": [], "award_title": [] } ] }, { "funder_name": "National Institutes of Health", "awards": [ { "funding_scheme": [ "S10 Instrumentation Programs" ], "award_ids": [], "award_title": [] } ] }, { "funder_name": "U.S. Department of Energy (DOE) Office of Science", "awards": [ { "funding_scheme": [], "award_ids": [ "DE-AC02-06CH11357" ], "award_title": [] } ] }, { "funder_name": "Argonne National Laboratory", "awards": [ { "funding_scheme": [], "award_ids": [ "DE-AC02-06CH11357" ], "award_title": [] } ] }, { "funder_name": "Michigan Economic Development Corporation", "awards": [ { "funding_scheme": [ "LS-CAT Sector 21" ], "award_ids": [], "award_title": [] } ] }, { "funder_name": "Michigan Technology Tri-Corridor", "awards": [ { "funding_scheme": [ "LS-CAT Sector 21" ], "award_ids": [ "085P1000817" ], "award_title": [] } ] }, { "funder_name": "Howard Hughes Medical Institute", "awards": [ { "funding_scheme": [ "Berkeley Center for Structural Biology" ], "award_ids": [], "award_title": [] } ] }, { "funder_name": "Advanced Light Source (a Department of Energy Office of Science User Facility)", "awards": [ { "funding_scheme": [], "award_ids": [ "DE-AC02-05CH11231" ], "award_title": [] } ] } ]
10.26434/chemrxiv-2022-5gkr7
This material is based upon work supported by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences, Computational Chemical Sciences program under Award Number DE-SC0019463. Summer research for N.N. was supported by the South Dakota Governor's Office of Economic Development through the Center for Fluorinated Functional Materials. Computations supporting this project were performed on High Performance Computing systems at the University of South Dakota, funded by NSF Award OAC-1626516.
[ { "funder_name": "U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences", "awards": [ { "funding_scheme": [ "Computational Chemical Sciences program" ], "award_ids": [ "DE-SC0019463" ], "award_title": [] } ] }, { "funder_name": "South Dakota Governor's Office of Economic Development", "awards": [ { "funding_scheme": [], "award_ids": [], "award_title": [] } ] }, { "funder_name": "University of South Dakota", "awards": [ { "funding_scheme": [ "NSF Award" ], "award_ids": [ "OAC-1626516" ], "award_title": [] } ] } ]
End of preview. Expand in Data Studio

Preprint Funding Metadata

A dataset of funding statements extracted from arXiv preprints with structured funder and award annotations.

Dataset Description

This dataset contains funding statements from scientific preprints along with manually annotated structured metadata identifying funders and their associated awards.

Data Fields

  • doi: The DOI of the preprint (e.g., "10.48550/arxiv.2303.07677")
  • funding_statement: The raw funding acknowledgment text extracted from the paper
  • funders: Array of funder objects containing:
    • funder_name: Name of the funding organization (may be null if only a program is mentioned)
    • awards: Array of award objects containing:
      • funding_scheme: Array of funding program/scheme names
      • award_ids: Array of grant/award identifiers
      • award_title: Array of award titles (if available)

Dataset Statistics

Split Examples
Train 1,388
Test 347

Usage

from datasets import load_dataset

dataset = load_dataset("cometadata/preprint-funding")

# Access train split
train_data = dataset["train"]

# Access test split
test_data = dataset["test"]

Example

{
  "doi": "10.48550/arxiv.2303.07677",
  "funding_statement": "This work was supported in part by the Key R&D Program of Zhejiang under Grant 2022C01018, and by the National Natural Science Foundation of China under Grants U21B2001 and 61973273.",
  "funders": [
    {
      "funder_name": null,
      "awards": [
        {
          "funding_scheme": ["Key R&D Program of Zhejiang"],
          "award_ids": ["2022C01018"],
          "award_title": []
        }
      ]
    },
    {
      "funder_name": "National Natural Science Foundation of China",
      "awards": [
        {
          "funding_scheme": [],
          "award_ids": ["U21B2001", "61973273"],
          "award_title": []
        }
      ]
    }
  ]
}

License

This dataset is released under CC0 (Public Domain).

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