cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4472896
title: An exploration of the codes of ethics of various organisations that hire software engineers.

description: A spreadsheet identifying ethical imperatives discovered in the published codes of practice from U.S. technology firms and U.K. universities.
DOI: 10.6084/m9.figshare.13650971
title: Oroboros trace flie.DLD

description: <b>Aim:</b> It is well-established that adult vertebrates acclimatising to hypoxic environments undergo mitochondrial remodelling to enhance oxygen delivery, maintain ATP balance, and limit oxidative stress. However, many vertebrates also encounter oxygen deprivation during embryonic development. The effects of hypoxia on mitochondrial function are likely to be more profound during embryonic development because environmental stress during early life can lead to permanent physiological and morphological changes that can sometimes be inherited by subsequent generations. To this end, we investigated the long-term effects of developmental hypoxia on mitochondrial function in a species that regularly encounters oxygen deprivation during development; the common snapping turtle (<i>Chelydra serpentina</i>). <b>Methods:</b> Common snapping turtle eggs were incubated in 21% or 10% oxygen from 20% of embryonic development until hatching. Once hatched, turtles were reared in 21% oxygen for up to one year, and ventricular mitochondria were isolated by differential centrifugation. Mitochondrial respiration and reactive oxygen species (ROS) production were measured with an Oroboros microrespirometer. <b>Results:</b> Compared to their normoxic counterparts, juvenile turtles from hypoxic incubations had lower levels of Leak respiration, higher P:O ratios, improved oxygen affinity, and reduced rates of ROS production. Interestingly, these same attributes occur in adult vertebrates that acclimatise to high-altitude hypoxia. <b>Conclusions:</b> Developmental hypoxia remodelled turtle mitochondria, leading to improvements in mitochondrial efficiceny, oxygen delivery, and ROS management. We speculate that these adjustments permanently improve snapping turtle mitochondrial hypoxia tolernace, which would be beneficial for this species during breath-hold diving and overwintering in anoxic environments.
DOI: 10.6084/m9.figshare.13650971.v1
title: Oroboros trace flie.DLD

description: <b>Aim:</b> It is well-established that adult vertebrates acclimatising to hypoxic environments undergo mitochondrial remodelling to enhance oxygen delivery, maintain ATP balance, and limit oxidative stress. However, many vertebrates also encounter oxygen deprivation during embryonic development. The effects of hypoxia on mitochondrial function are likely to be more profound during embryonic development because environmental stress during early life can lead to permanent physiological and morphological changes that can sometimes be inherited by subsequent generations. To this end, we investigated the long-term effects of developmental hypoxia on mitochondrial function in a species that regularly encounters oxygen deprivation during development; the common snapping turtle (<i>Chelydra serpentina</i>). <b>Methods:</b> Common snapping turtle eggs were incubated in 21% or 10% oxygen from 20% of embryonic development until hatching. Once hatched, turtles were reared in 21% oxygen for up to one year, and ventricular mitochondria were isolated by differential centrifugation. Mitochondrial respiration and reactive oxygen species (ROS) production were measured with an Oroboros microrespirometer. <b>Results:</b> Compared to their normoxic counterparts, juvenile turtles from hypoxic incubations had lower levels of Leak respiration, higher P:O ratios, improved oxygen affinity, and reduced rates of ROS production. Interestingly, these same attributes occur in adult vertebrates that acclimatise to high-altitude hypoxia. <b>Conclusions:</b> Developmental hypoxia remodelled turtle mitochondria, leading to improvements in mitochondrial efficiceny, oxygen delivery, and ROS management. We speculate that these adjustments permanently improve snapping turtle mitochondrial hypoxia tolernace, which would be beneficial for this species during breath-hold diving and overwintering in anoxic environments.
DOI: 10.5517/ccdc.csd.cc226xz6
title: CCDC 1913288: Experimental Crystal Structure Determination

description: Related Article: Soumen Saha, Sha Tamanna Sahil, Md. Motiur R. Mazumder, Alexander M. Stephens, Bryan Cronin, Evert C. Duin, Jonah W. Jurss, Byron H. Farnum|2021|Dalton Trans.|50|926|doi:10.1039/D0DT03030A
DOI: 10.5517/ccdc.csd.cc239mdg
title: CCDC 1945665: Experimental Crystal Structure Determination

description: Related Article: Ainizatul Husna Anizaim, Dian Alwani Zainuri, Muhamad Fikri Zaini, Ibrahim Abdul Razak, Hazri Bakhtiar, Suhana Arshad|2020|Plos One|15|e0241113|doi:10.1371/journal.pone.0241113
DOI: 10.5517/ccdc.csd.cc24v1tw
title: CCDC 1991248: Experimental Crystal Structure Determination

description: Related Article: Ashaparna Mondal, Utsav Sen, Nilmadhab Roy, Venkatesan Muthukumar, Suban Kumar Sahoo, Bipasha Bose, Priyankar Paira|2021|Dalton Trans.|50|979|doi:10.1039/D0DT03107K
DOI: 10.5517/ccdc.csd.cc258lcf
title: CCDC 2004254: Experimental Crystal Structure Determination

description: Related Article: Alyssa Yeo, Corey A. Sanz, Michael D. Fryzuk|2021|Dalton Trans.|50|899|doi:10.1039/D0DT03688A
DOI: 10.5517/ccdc.csd.cc258ldg
title: CCDC 2004255: Experimental Crystal Structure Determination

description: Related Article: Alyssa Yeo, Corey A. Sanz, Michael D. Fryzuk|2021|Dalton Trans.|50|899|doi:10.1039/D0DT03688A
DOI: 10.5517/ccdc.csd.cc259tfr
title: CCDC 2005434: Experimental Crystal Structure Determination

description: Related Article: Alyssa Yeo, Corey A. Sanz, Michael D. Fryzuk|2021|Dalton Trans.|50|899|doi:10.1039/D0DT03688A
DOI: 10.5517/ccdc.csd.cc259tgs
title: CCDC 2005435: Experimental Crystal Structure Determination

description: Related Article: Alyssa Yeo, Corey A. Sanz, Michael D. Fryzuk|2021|Dalton Trans.|50|899|doi:10.1039/D0DT03688A
DOI: 10.5517/ccdc.csd.cc25bn39
title: CCDC 2006230: Experimental Crystal Structure Determination

description: Related Article: Soumen Saha, Sha Tamanna Sahil, Md. Motiur R. Mazumder, Alexander M. Stephens, Bryan Cronin, Evert C. Duin, Jonah W. Jurss, Byron H. Farnum|2021|Dalton Trans.|50|926|doi:10.1039/D0DT03030A
DOI: 10.5517/ccdc.csd.cc25dwwc
title: CCDC 2008393: Experimental Crystal Structure Determination

description: Related Article: Nasrin Farahani, Mehdi khalaj|2020|J.Mol.Struct.|1228|129747|doi:10.1016/j.molstruc.2020.129747
DOI: 10.5517/ccdc.csd.cc25k5b8
title: CCDC 2012499: Experimental Crystal Structure Determination

description: Related Article: Soumen Saha, Sha Tamanna Sahil, Md. Motiur R. Mazumder, Alexander M. Stephens, Bryan Cronin, Evert C. Duin, Jonah W. Jurss, Byron H. Farnum|2021|Dalton Trans.|50|926|doi:10.1039/D0DT03030A
DOI: 10.5517/ccdc.csd.cc25mxg6
title: CCDC 2015138: Experimental Crystal Structure Determination

description: Related Article: Minghui Cui, Ai-Ling Wang, Cong-Li Gao, Liming Zhou, Tao Wu, Shaoming Fang, Hong-Ping Xiao, Feng-Cai Li, Xi-Li Li|2021|Dalton Trans.|50|1007|doi:10.1039/D0DT03576A
DOI: 10.5517/ccdc.csd.cc25mxh7
title: CCDC 2015139: Experimental Crystal Structure Determination

description: Related Article: Minghui Cui, Ai-Ling Wang, Cong-Li Gao, Liming Zhou, Tao Wu, Shaoming Fang, Hong-Ping Xiao, Feng-Cai Li, Xi-Li Li|2021|Dalton Trans.|50|1007|doi:10.1039/D0DT03576A
DOI: 10.5517/ccdc.csd.cc25mxj8
title: CCDC 2015140: Experimental Crystal Structure Determination

description: Related Article: Minghui Cui, Ai-Ling Wang, Cong-Li Gao, Liming Zhou, Tao Wu, Shaoming Fang, Hong-Ping Xiao, Feng-Cai Li, Xi-Li Li|2021|Dalton Trans.|50|1007|doi:10.1039/D0DT03576A
DOI: 10.5517/ccdc.csd.cc25mxmc
title: CCDC 2015143: Experimental Crystal Structure Determination

description: Related Article: Minghui Cui, Ai-Ling Wang, Cong-Li Gao, Liming Zhou, Tao Wu, Shaoming Fang, Hong-Ping Xiao, Feng-Cai Li, Xi-Li Li|2021|Dalton Trans.|50|1007|doi:10.1039/D0DT03576A
DOI: 10.5517/ccdc.csd.cc25t0hj
title: CCDC 2020037: Experimental Crystal Structure Determination

description: Related Article: Yinwu Li, Leon Maser, Lukas Alig, Zhuofeng Ke, Robert Langer|2021|Dalton Trans.|50|954|doi:10.1039/D0DT03942J
DOI: 10.5517/ccdc.csd.cc25ywfg
title: CCDC 2024716: Experimental Crystal Structure Determination

description: Related Article: Alyssa Yeo, Corey A. Sanz, Michael D. Fryzuk|2021|Dalton Trans.|50|899|doi:10.1039/D0DT03688A
DOI: 10.5517/ccdc.csd.cc2679f6
title: CCDC 2032807: Experimental Crystal Structure Determination

description: Related Article: Junki Ochi, Kazuo Tanaka, Yoshiki Chujo|2021|Dalton Trans.|50|1025|doi:10.1039/D0DT03618H
DOI: 10.5517/ccdc.csd.cc2679g7
title: CCDC 2032808: Experimental Crystal Structure Determination

description: Related Article: Junki Ochi, Kazuo Tanaka, Yoshiki Chujo|2021|Dalton Trans.|50|1025|doi:10.1039/D0DT03618H
DOI: 10.5517/ccdc.csd.cc2687k9
title: CCDC 2033710: Experimental Crystal Structure Determination

description: Related Article: Michaela Rendošová, Róbert Gyepes, Ivana Cingeľová Maruščáková, Dagmar Mudroňová, Danica Sabolová, Martin Kello, Mária Vilková, Miroslav Almáši, Veronika Huntošová, Ondřej Zemek, Zuzana Vargová|2021|Dalton Trans.|50|936|doi:10.1039/D0DT03332D
DOI: 10.5517/ccdc.csd.cc2687lb
title: CCDC 2033711: Experimental Crystal Structure Determination

description: Related Article: Michaela Rendošová, Róbert Gyepes, Ivana Cingeľová Maruščáková, Dagmar Mudroňová, Danica Sabolová, Martin Kello, Mária Vilková, Miroslav Almáši, Veronika Huntošová, Ondřej Zemek, Zuzana Vargová|2021|Dalton Trans.|50|936|doi:10.1039/D0DT03332D
DOI: 10.5517/ccdc.csd.cc26gy6v
title: CCDC 2040147: Experimental Crystal Structure Determination

description: Related Article: Briana R. Schrage, Baylee R. Frisinger, Sarah J. Schmidtke Sobeck, Christopher J. Ziegler|2021|Dalton Trans.|50|1069|doi:10.1039/D0DT03743E
DOI: 10.5517/ccdc.csd.cc26gy7w
title: CCDC 2040148: Experimental Crystal Structure Determination

description: Related Article: Briana R. Schrage, Baylee R. Frisinger, Sarah J. Schmidtke Sobeck, Christopher J. Ziegler|2021|Dalton Trans.|50|1069|doi:10.1039/D0DT03743E
DOI: 10.5517/ccdc.csd.cc26gy8x
title: CCDC 2040149: Experimental Crystal Structure Determination

description: Related Article: Briana R. Schrage, Baylee R. Frisinger, Sarah J. Schmidtke Sobeck, Christopher J. Ziegler|2021|Dalton Trans.|50|1069|doi:10.1039/D0DT03743E
DOI: 10.5517/ccdc.csd.cc26gy9y
title: CCDC 2040150: Experimental Crystal Structure Determination

description: Related Article: Briana R. Schrage, Baylee R. Frisinger, Sarah J. Schmidtke Sobeck, Christopher J. Ziegler|2021|Dalton Trans.|50|1069|doi:10.1039/D0DT03743E
DOI: 10.5517/ccdc.csd.cc26gybz
title: CCDC 2040151: Experimental Crystal Structure Determination

description: Related Article: Briana R. Schrage, Baylee R. Frisinger, Sarah J. Schmidtke Sobeck, Christopher J. Ziegler|2021|Dalton Trans.|50|1069|doi:10.1039/D0DT03743E
DOI: 10.5517/ccdc.csd.cc26gyc0
title: CCDC 2040152: Experimental Crystal Structure Determination

description: Related Article: Briana R. Schrage, Baylee R. Frisinger, Sarah J. Schmidtke Sobeck, Christopher J. Ziegler|2021|Dalton Trans.|50|1069|doi:10.1039/D0DT03743E
DOI: 10.5517/ccdc.csd.cc26gyd1
title: CCDC 2040153: Experimental Crystal Structure Determination

description: Related Article: Briana R. Schrage, Baylee R. Frisinger, Sarah J. Schmidtke Sobeck, Christopher J. Ziegler|2021|Dalton Trans.|50|1069|doi:10.1039/D0DT03743E
DOI: 10.5517/ccdc.csd.cc26k6qq
title: CCDC 2042333: Experimental Crystal Structure Determination

description: Related Article: Run-Ze Yuan, Peng-Fei Cui, Shu-Ting Guo, Guo-Xin Jin|2021|Dalton Trans.|50|1060|doi:10.1039/D0DT03832F
DOI: 10.5517/ccdc.csd.cc26k6rr
title: CCDC 2042334: Experimental Crystal Structure Determination

description: Related Article: Run-Ze Yuan, Peng-Fei Cui, Shu-Ting Guo, Guo-Xin Jin|2021|Dalton Trans.|50|1060|doi:10.1039/D0DT03832F
DOI: 10.5517/ccdc.csd.cc26k6vv
title: CCDC 2042337: Experimental Crystal Structure Determination

description: Related Article: Run-Ze Yuan, Peng-Fei Cui, Shu-Ting Guo, Guo-Xin Jin|2021|Dalton Trans.|50|1060|doi:10.1039/D0DT03832F
DOI: 10.5517/ccdc.csd.cc26k6yy
title: CCDC 2042340: Experimental Crystal Structure Determination

description: Related Article: Run-Ze Yuan, Peng-Fei Cui, Shu-Ting Guo, Guo-Xin Jin|2021|Dalton Trans.|50|1060|doi:10.1039/D0DT03832F
DOI: 10.5517/ccdc.csd.cc26k6zz
title: CCDC 2042341: Experimental Crystal Structure Determination

description: Related Article: Run-Ze Yuan, Peng-Fei Cui, Shu-Ting Guo, Guo-Xin Jin|2021|Dalton Trans.|50|1060|doi:10.1039/D0DT03832F
DOI: 10.5517/ccdc.csd.cc26k712
title: CCDC 2042343: Experimental Crystal Structure Determination

description: Related Article: Run-Ze Yuan, Peng-Fei Cui, Shu-Ting Guo, Guo-Xin Jin|2021|Dalton Trans.|50|1060|doi:10.1039/D0DT03832F
DOI: 10.5517/ccdc.csd.cc2612bp
title: CCDC 2026821: Experimental Crystal Structure Determination

description: Related Article: Farheen Fatima Khan, Saikat Mondal, Shubhadeep Chandra, Nicolas I. Neuman, Biprajit Sarkar, Goutam Kumar Lahiri|2021|Dalton Trans.|50|1106|doi:10.1039/D0DT03400B
DOI: 10.5517/ccdc.csd.cc2612cq
title: CCDC 2026822: Experimental Crystal Structure Determination

description: Related Article: Farheen Fatima Khan, Saikat Mondal, Shubhadeep Chandra, Nicolas I. Neuman, Biprajit Sarkar, Goutam Kumar Lahiri|2021|Dalton Trans.|50|1106|doi:10.1039/D0DT03400B
DOI: 10.5517/ccdc.csd.cc25y2dm
title: CCDC 2023940: Experimental Crystal Structure Determination

description: Related Article: Keith Izod, James M. Watson, Ross W. Harrington, William Clegg|2021|Dalton Trans.|50|1019|doi:10.1039/D0DT03895D
DOI: 10.5517/ccdc.csd.cc25y2fn
title: CCDC 2023941: Experimental Crystal Structure Determination

description: Related Article: Keith Izod, James M. Watson, Ross W. Harrington, William Clegg|2021|Dalton Trans.|50|1019|doi:10.1039/D0DT03895D
DOI: 10.5517/ccdc.csd.cc25y2gp
title: CCDC 2023942: Experimental Crystal Structure Determination

description: Related Article: Keith Izod, James M. Watson, Ross W. Harrington, William Clegg|2021|Dalton Trans.|50|1019|doi:10.1039/D0DT03895D
DOI: 10.5517/ccdc.csd.cc25y2jr
title: CCDC 2023944: Experimental Crystal Structure Determination

description: Related Article: Keith Izod, James M. Watson, Ross W. Harrington, William Clegg|2021|Dalton Trans.|50|1019|doi:10.1039/D0DT03895D
DOI: 10.5517/ccdc.csd.cc25y2hq
title: CCDC 2023943: Experimental Crystal Structure Determination

description: Related Article: Keith Izod, James M. Watson, Ross W. Harrington, William Clegg|2021|Dalton Trans.|50|1019|doi:10.1039/D0DT03895D
DOI: 10.5517/ccdc.csd.cc2736q9
title: CCDC 2058670: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, R.W. Harrington|2021|CSD Communication|||
DOI: 10.26208/z0m8-ez86
title: Comparing Glacial-Geological Evidence and Model Simulations of Ice Sheet Change since the Last Glacial Period in the Amundsen Sea Sector of Antarctica

description: Since the Last Glacial Maximum ~20,000 years ago, the Antarctic Ice Sheet has undergone extensive changes, resulting in a much smaller present-day configuration. Improving our understanding of basic physical processes that played important roles during that retreat is critical to providing more robust model projections of future retreat and sea-level rise. Here, a limited-area nested ice sheet model was applied to the last deglacial retreat of the West Antarctic Ice Sheet in the Amundsen Sea Embayment (ASE), at 5 km resolution. The ice sheet response to climate and sea-level forcing was examined at two sites along the flowlines of Pine Island Glacier and Pope Glacier, close to the Hudson Mountains and Mount Murphy respectively, and the simulated responses compared with ice sheet thinning histories derived from glacial-geological data. The sensitivity of results to selected model parameters was also assessed. The model simulations predict a broadly similar response to ocean forcing in both the central and eastern ASE, with an initial rapid phase of thinning followed by a slower phase to the modern configuration. Although there is a mismatch of up to 5,000 years between the timing of simulated and observed thinning, the modeling suggests that the upstream geological records of ice surface elevation change reflect a response to retreat near the grounding line. The model-data mismatch could be improved by undertaking more-sophisticated regional bedrock/glacial isostatic adjustment modeling including regional variations in mantle viscosity, and spatially varying basal sliding properties on the continental shelf.
DOI: 10.5281/zenodo.4459400
title: HUMAN4D - Subject #1 (multi-RGBD + 2d/3d pose)

description: <strong>HUMAN4D: A Human-Centric Multimodal Dataset for Motions & Immersive Media</strong> HUMAN4D is a large and multimodal 4D dataset that contains a variety of human activities simultaneously captured by a professional marker-based MoCap, a volumetric capture and an audio recording system. By capturing 2 female and 2 male professional actors performing various full-body movements and expressions, HUMAN4D provides a diverse set of motions and poses encountered as part of single- and multi-person daily, physical and social activities (jumping, dancing, etc.), along with multi-RGBD (mRGBD), volumetric and audio data. Despite the existence of multi-view color datasets captured with the use of hardware (HW) synchronization, to the best of our knowledge, HUMAN4D is the first and only public resource that provides volumetric depth maps with high synchronization precision due to the use of intra- and inter-sensor HW-SYNC.
DOI: 10.5281/zenodo.4470102
title: Bone pose estimation Challenge dataset

description: This is a comprehensive dataset from the 2016 code challenge. Estimation of the poses of the individual bones from videoradiography is a necessary step towards the evaluation of 3D kinematics. The following comprehensive dataset contains video radiography of knee of ten different subjects captured by a 9” c-arm machine. The poses of the individual bones can be estimated either by generating DRRs from MRI scans or by creating 3D model through segmentation. For more details see www.codemaraphon.ru
DOI: 10.5281/zenodo.4470086
title: Bone pose estimation Challenge dataset

description: This is a comprehensive dataset from the 2016 code challenge. Estimation of the poses of the individual bones from videoradiography is a necessary step towards the evaluation of 3D kinematics. The following comprehensive dataset contains video radiography of knee of ten different subjects captured by a 9” c-arm machine. The poses of the individual bones can be estimated either by generating DRRs from MRI scans or by creating 3D model through segmentation. For more details see www.codemaraphon.ru
DOI: 10.5281/zenodo.4473009
title: HUMAN4D - Subject #1 (multi-RGBD + 2d/3d pose)

description: <strong>HUMAN4D: A Human-Centric Multimodal Dataset for Motions & Immersive Media</strong> HUMAN4D is a large and multimodal 4D dataset that contains a variety of human activities simultaneously captured by a professional marker-based MoCap, a volumetric capture and an audio recording system. By capturing 2 female and 2 male professional actors performing various full-body movements and expressions, HUMAN4D provides a diverse set of motions and poses encountered as part of single- and multi-person daily, physical and social activities (jumping, dancing, etc.), along with multi-RGBD (mRGBD), volumetric and audio data. Despite the existence of multi-view color datasets captured with the use of hardware (HW) synchronization, to the best of our knowledge, HUMAN4D is the first and only public resource that provides volumetric depth maps with high synchronization precision due to the use of intra- and inter-sensor HW-SYNC.
DOI: 10.5281/zenodo.4472554
title: Behaviour-based large-scale planning Fleet Management System Evaluation

description: This dataset was generated within the SafeLog project while evaluating the performance of a decentralized Fleet Management System (MARS). MARS attempts to find a solution to the multi-agent path finding problem in a decentralized manner, by representing each component as an autonomous agent. We compared the results of a large set of routing assignments within a benchmarking environment to a centralized planner, with respect to the goodness of the resulting routes as well as the computation time. The results can be found in the "MARS" directory within the dataset. We further investigated ROS 2 as a potential framework for an upcoming iteration of the software. To that end, an abstraction of the architecture was built in ROS and ROS 2, in order to compare the communication overhead in the context of a very large number of nodes. The results of this can be found in the "ROS" directory. Please refer to the README.md for further explanation.
DOI: 10.5281/zenodo.4472553
title: Behaviour-based large-scale planning Fleet Management System Evaluation

description: This dataset was generated within the SafeLog project while evaluating the performance of a decentralized Fleet Management System (MARS). MARS attempts to find a solution to the multi-agent path finding problem in a decentralized manner, by representing each component as an autonomous agent. We compared the results of a large set of routing assignments within a benchmarking environment to a centralized planner, with respect to the goodness of the resulting routes as well as the computation time. The results can be found in the "MARS" directory within the dataset. We further investigated ROS 2 as a potential framework for an upcoming iteration of the software. To that end, an abstraction of the architecture was built in ROS and ROS 2, in order to compare the communication overhead in the context of a very large number of nodes. The results of this can be found in the "ROS" directory. Please refer to the README.md for further explanation.
DOI: 10.6084/m9.figshare.13571306
title: metabolic data of sweet cherry

description: In total, 122 differentially abundant metabolites were identified in the BT group, HT and CT sweet cherry samples, and 21 metabolites showed significant differences in each pair of comparisons. There were 49 upregulated metabolites, 54 downregulated metabolites and 408 unchanged metabolites in the high temperature treatment group. The CT group showed 53 upregulated, 24 downregulated and 434 unchanged metabolites.The differentially abundant metabolites mainly included flavonoids, phenolic acids, amino acids and derivatives thereof, lipids, alkaloids, nucleotides and derivatives thereof, organic acids, lignans and coumarin, etc. In the comparison of the BT and HT groups, 10 kinds of anthocyanin monomers were obtained, and the HT group showed significant upregulation of the contents of most anthocyanins. In the comparison of the HT and CT groups, 8 kinds of anthocyanin monomers were obtained, and the content of anthocyanins in the HT group was significantly downregulated.
DOI: 10.6084/m9.figshare.13571306.v1
title: metabolic data of sweet cherry

description: In total, 122 differentially abundant metabolites were identified in the BT group, HT and CT sweet cherry samples, and 21 metabolites showed significant differences in each pair of comparisons. There were 49 upregulated metabolites, 54 downregulated metabolites and 408 unchanged metabolites in the high temperature treatment group. The CT group showed 53 upregulated, 24 downregulated and 434 unchanged metabolites.The differentially abundant metabolites mainly included flavonoids, phenolic acids, amino acids and derivatives thereof, lipids, alkaloids, nucleotides and derivatives thereof, organic acids, lignans and coumarin, etc. In the comparison of the BT and HT groups, 10 kinds of anthocyanin monomers were obtained, and the HT group showed significant upregulation of the contents of most anthocyanins. In the comparison of the HT and CT groups, 8 kinds of anthocyanin monomers were obtained, and the content of anthocyanins in the HT group was significantly downregulated.