cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc28bkt0
title: CCDC 2095532: Experimental Crystal Structure Determination

description: Related Article: Sebastian Scharf, Sebastian Notz, Janine Jeschke, Andrea Preuß, Tobias Rüffer, Alexander Wiese, Andy Künzel-Tenner, Steffen Schulze, Michael Hietschold, Heinrich Lang|2023|Polyhedron|231|116245|doi:10.1016/j.poly.2022.116245
description: Related Article: Sebastian Scharf, Sebastian Notz, Janine Jeschke, Andrea Preuß, Tobias Rüffer, Alexander Wiese, Andy Künzel-Tenner, Steffen Schulze, Michael Hietschold, Heinrich Lang|2023|Polyhedron|231|116245|doi:10.1016/j.poly.2022.116245
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc28bkv1
title: CCDC 2095533: Experimental Crystal Structure Determination

description: Related Article: Sebastian Scharf, Sebastian Notz, Janine Jeschke, Andrea Preuß, Tobias Rüffer, Alexander Wiese, Andy Künzel-Tenner, Steffen Schulze, Michael Hietschold, Heinrich Lang|2023|Polyhedron|231|116245|doi:10.1016/j.poly.2022.116245
description: Related Article: Sebastian Scharf, Sebastian Notz, Janine Jeschke, Andrea Preuß, Tobias Rüffer, Alexander Wiese, Andy Künzel-Tenner, Steffen Schulze, Michael Hietschold, Heinrich Lang|2023|Polyhedron|231|116245|doi:10.1016/j.poly.2022.116245
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc28bkw2
title: CCDC 2095534: Experimental Crystal Structure Determination

description: Related Article: Sebastian Scharf, Sebastian Notz, Janine Jeschke, Andrea Preuß, Tobias Rüffer, Alexander Wiese, Andy Künzel-Tenner, Steffen Schulze, Michael Hietschold, Heinrich Lang|2023|Polyhedron|231|116245|doi:10.1016/j.poly.2022.116245
description: Related Article: Sebastian Scharf, Sebastian Notz, Janine Jeschke, Andrea Preuß, Tobias Rüffer, Alexander Wiese, Andy Künzel-Tenner, Steffen Schulze, Michael Hietschold, Heinrich Lang|2023|Polyhedron|231|116245|doi:10.1016/j.poly.2022.116245
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc28bkx3
title: CCDC 2095535: Experimental Crystal Structure Determination

description: Related Article: Sebastian Scharf, Sebastian Notz, Janine Jeschke, Andrea Preuß, Tobias Rüffer, Alexander Wiese, Andy Künzel-Tenner, Steffen Schulze, Michael Hietschold, Heinrich Lang|2023|Polyhedron|231|116245|doi:10.1016/j.poly.2022.116245
description: Related Article: Sebastian Scharf, Sebastian Notz, Janine Jeschke, Andrea Preuß, Tobias Rüffer, Alexander Wiese, Andy Künzel-Tenner, Steffen Schulze, Michael Hietschold, Heinrich Lang|2023|Polyhedron|231|116245|doi:10.1016/j.poly.2022.116245
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc28tgk4
title: CCDC 2109846: Experimental Crystal Structure Determination

description: Related Article: Cungang Xu, Rong Luo, Chuanbin Fan, Chenze Xie, Xia Zhang, Dongmei Zhang, Yuhua Fan|2023|Opt.Mater.|136|113459|doi:10.1016/j.optmat.2023.113459
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc291nrs
title: CCDC 2116765: Experimental Crystal Structure Determination

description: Related Article: Qianqian Yang, Yin-Shan Meng, Tao Liu, Jinkui Tang|2022|Dalton Trans.|51|602|doi:10.1039/D1DT03664E
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc28rb7m
title: CCDC 2107790: Experimental Crystal Structure Determination

description: Related Article: Takuya Shiga, Honami Ito, Nozomi Mihara, Masayuki Nihei|2022|Dalton Trans.|51|562|doi:10.1039/D1DT03030B
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc291nst
title: CCDC 2116766: Experimental Crystal Structure Determination

description: Related Article: Qianqian Yang, Yin-Shan Meng, Tao Liu, Jinkui Tang|2022|Dalton Trans.|51|602|doi:10.1039/D1DT03664E
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.21988667
title: Crocus genome reveals the evolutionary origin of crocin biosynthesis

description: Crocus genome and annotation
DOI: 10.6084/m9.figshare.20443635
title: ERAS multicentre TM RZ.xlsx

description: The Enhanced Recovery After Surgery (ERAS) protocol was created to improve patient outcomes after such surgery including radical cystectomy. The aim of this study is to evaluate the application of ERAS on radical cystectomy in Indonesia. This is the first study conducted regarding ERAS on the field of urology in Indonesia. We are eagerly anticipating the consideration of our manuscript in <em>F1000 Research</em>.<br> <br>
DOI: 10.6084/m9.figshare.20443635.v4
title: ERAS multicentre TM RZ.xlsx

description: The Enhanced Recovery After Surgery (ERAS) protocol was created to improve patient outcomes after such surgery including radical cystectomy. The aim of this study is to evaluate the application of ERAS on radical cystectomy in Indonesia. This is the first study conducted regarding ERAS on the field of urology in Indonesia. We are eagerly anticipating the consideration of our manuscript in <em>F1000 Research</em>.<br> <br>
DOI: 10.6084/m9.figshare.20443635.v3
title: ERAS multicentre TM RZ.xlsx

description: The Enhanced Recovery After Surgery (ERAS) protocol was created to improve patient outcomes after such surgery including radical cystectomy. The aim of this study is to evaluate the application of ERAS on radical cystectomy in Indonesia. This is the first study conducted regarding ERAS on the field of urology in Indonesia. We are eagerly anticipating the consideration of our manuscript in <em>F1000 Research</em>.<br> <br>
DOI: 10.34740/kaggle/dsv/4934761
title: Big Four
DOI: 10.6084/m9.figshare.21987065
title: TCGA cancer/normal genomic data and pathway information

description: TCGA cancer (LUAD_NEW, LIHC_NEW and THCA_NEW)/normal (LUAD2_NEW, LIHC2_NEW and THCA2_NEW) genomic data and pathway information (GO-CC, KEGG) <br>
DOI: 10.6084/m9.figshare.21987065.v1
title: TCGA cancer/normal genomic data and pathway information

description: TCGA cancer (LUAD_NEW, LIHC_NEW and THCA_NEW)/normal (LUAD2_NEW, LIHC2_NEW and THCA2_NEW) genomic data and pathway information (GO-CC, KEGG) <br>
DOI: 10.6084/m9.figshare.21988487
title: Differences in protein expression, at the basal state and at 2 h of insulin infusion, in muscle biopsies from healthy Arab men with high or low insulin sensitivity measured by hyperinsulinemic euglycemic clamp.

description: Insulin resistance is defined as reduced response of insulin target tissues to the biological action of insulin. Insulin resistance is a core defect in type 2 diabetes (T2DM), and it is the earliest metabolic defect detected in subjects destined to develop T2DM. In response to insulin resistance, the beta cell augments its insulin secretion and the compensatory hyperinsulinemia maintains the normal glucose tolerance. As long as the beta cell is capable of increasing its insulin secretion to compensate for insulin resistance, the normal glucose tolerance is maintained. Thus, hyperinsulinemia is a key feature of the insulin resistant state in non-diabetic individuals.
DOI: 10.6084/m9.figshare.21988487.v1
title: Differences in protein expression, at the basal state and at 2 h of insulin infusion, in muscle biopsies from healthy Arab men with high or low insulin sensitivity measured by hyperinsulinemic euglycemic clamp.

description: Insulin resistance is defined as reduced response of insulin target tissues to the biological action of insulin. Insulin resistance is a core defect in type 2 diabetes (T2DM), and it is the earliest metabolic defect detected in subjects destined to develop T2DM. In response to insulin resistance, the beta cell augments its insulin secretion and the compensatory hyperinsulinemia maintains the normal glucose tolerance. As long as the beta cell is capable of increasing its insulin secretion to compensate for insulin resistance, the normal glucose tolerance is maintained. Thus, hyperinsulinemia is a key feature of the insulin resistant state in non-diabetic individuals.
DOI: 10.15151/esrf-es-1026152999
title: Universities of St. Andrews, Dundee, Glasgow, and Aberdeen

description: The Dundee/St Andrews/Glasgow/Aberdeen BAG research interests fall into two broad areas. Firstly, we use structural information to understand mechanisms of fundamental biological processes, protein engineering, enzymes, and biological chemistry. Secondly, we utilize structural insights to guide target selection and development of lead compounds for drug development. Fundamental insights obtained into biological processes are often closely coupled to target identification and development of tools, reagents, or inhibitors, which feed into a range of biomedical applications. Our research relies heavily on high quality, reliable and tunable synchrotron radiation, along with state-of-the-art optics, detectors, sample changers, and computation, to support determination of new structures, as well as collect high resolution diffraction data to provide the level of accuracy important in structure-guided drug design.
DOI: 10.15151/esrf-es-1026153039
title: Structural biology at Umea University

description: The BAG consists out of 7 groups that are heavily involved in macromolecular crystallography, as well as other structural biology techniques, at Umeå University, Sweden. We work on a diverse set of biological questions, ranging from understanding the structure and function of Gram-positive Type 4 Secretion Systems, mobile genetic elements in Staphylococcus aureus, DNA and RNA polymerases, effector protein in Type 6 Secretion Systems and transcriptional regulators.
DOI: 10.15151/esrf-es-1026153836
title: Danish Biochemistry and Structural biology BAG

description: This BAG application gathers many danish esrf users with the area of structural biochemistry (including both crystallography, cryoEM and SAXS). Some of the work focuses on carbohydrate active enzymes of all classes, with particular focus on biotechnological applications. Several PIs work in the important membrane proteins area, with both receptors and transporters as main focus, almost all potential or current drug targets. Other groups work on non membrane proteins which are also potential drug targets or in some way known to potentially be involved in disease - enzymes, bacterial antibiotic resistance and survival, DNA binding proteins and other regulators, immune system components. One crystallographic method development project is also included as are two principally bioSAXS projects. BioSAXS in addition contributes to several of the other projects, and infact we ask in this round for less Xtal beamtime and more bioSAXS beamtime.
DOI: 10.15151/esrf-es-1042490767
title: Bragg-ptychography on calcite prisms of Pacific Oyster shells

description: Bragg-ptychography on calcite prisms of Pacific Oyster shells
DOI: 10.15151/esrf-es-1022401141
title: In situ XAS on bioinspired Cu-MOFs as methane partial oxidation catalysts

description: This proposal aims to characterize by Cu k-edge XAS, to disclose the finest details on the redox chemistry of Cu sites hosted within a selection of Cu-MOFs. In particular, structural and redox behavior will be investigated during the stepwise methane to methanol reaction. These MOFs, belonging to the UiO-6X family, have been post-synthetically treated to introduce various biomimetic anchoring site, as inspired by the histidine brace coordinating Cu in some enzymes capable of performing C-H bond oxidation. We will focus on the main reaction stages (desolvation, oxidation and reactivity with CH4). Special care will be put in characterizing the oxidized state, aiming at the identification of potentially active Cu-O species. These outcomes will provide unprecedented structural details on the local environment in such Cu-MOFs at the various reaction stages.
DOI: 10.5281/zenodo.5861281
title: Cumulative effects doubled the drought impacts for one-fifth of ecosystems exposed to recurrent droughts during Australia's Millennium Drought

description: <strong>Drought-induced vegetation declines have been reported across the globe and may have widespread implications for ecosystem composition, structure, and functions. Thus, it is critical to maximizing our understanding of how vegetation has responded to recent drought extremes. To date, most drought assessments have focused on the impact of a single drought event, emphasizing the importance of drought intensity for vegetation responses. However, drought timing, duration, and repeat exposure may all be important aspects of ecosystem response with the potential for non-linear effects. Cumulative effects are one such phenomenon, representing the additional decline due to repeated or prolonged exposure to drought, and indicating gradual loss of ecosystem resistance. This study quantifies the frequency and magnitude of cumulative effects among Australian ecosystems as they responded to the Millennium Drought. Three distinct biophysical variables derived from satellite remote sensing were analyzed, including fraction of photosynthetically absorbed radiation, photosynthetic vegetation cover, and canopy density derived from passive microwave data. While cumulative effects were detected in only 20% or less of the landscape exposed to repeat or long-duration drought, they approximately doubled drought impacts in the areas where they occurred. Cultivated lands and grasslands were the most susceptible to cumulative effects from recurrent droughts. Despite being relatively infrequent in forests and savannas, cumulative effects from repeated or long-duration drought caused larger additional declines in these ecosystems. Overall, our study demonstrates that the temporal sequence of drought events can strongly influence the magnitude of drought impacts, which provides important insights into modeling vegetation response to recurrent drought events</strong>
DOI: 10.5281/zenodo.5861280
title: Cumulative effects doubled the drought impacts for one-fifth of ecosystems exposed to recurrent droughts during Australia's Millennium Drought

description: <strong>Drought-induced vegetation declines have been reported across the globe and may have widespread implications for ecosystem composition, structure, and functions. Thus, it is critical to maximizing our understanding of how vegetation has responded to recent drought extremes. To date, most drought assessments have focused on the impact of a single drought event, emphasizing the importance of drought intensity for vegetation responses. However, drought timing, duration, and repeat exposure may all be important aspects of ecosystem response with the potential for non-linear effects. Cumulative effects are one such phenomenon, representing the additional decline due to repeated or prolonged exposure to drought, and indicating gradual loss of ecosystem resistance. This study quantifies the frequency and magnitude of cumulative effects among Australian ecosystems as they responded to the Millennium Drought. Three distinct biophysical variables derived from satellite remote sensing were analyzed, including fraction of photosynthetically absorbed radiation, photosynthetic vegetation cover, and canopy density derived from passive microwave data. While cumulative effects were detected in only 20% or less of the landscape exposed to repeat or long-duration drought, they approximately doubled drought impacts in the areas where they occurred. Cultivated lands and grasslands were the most susceptible to cumulative effects from recurrent droughts. Despite being relatively infrequent in forests and savannas, cumulative effects from repeated or long-duration drought caused larger additional declines in these ecosystems. Overall, our study demonstrates that the temporal sequence of drought events can strongly influence the magnitude of drought impacts, which provides important insights into modeling vegetation response to recurrent drought events</strong>
DOI: 10.5281/zenodo.7180026
title: Soil Moisture Forecasting integrating Physical-based model and Deep Learning

description: Dataset used in "Soil Moisture Forecasting integrating Physical-based model and Deep Learning". (1) <strong>1-24.tar</strong> is training/test data (after preprocessing) over 24 sub-regions in China. (2) <strong>GFS*</strong> is 3-day forecast of Global Forecast System (GFS) over 2015-2017 and 2018 years. (3) <strong>DEM*</strong> and <strong>LC*</strong> is DEM and land cover in EASE 9km grids. (4) <strong>auxiliary.json</strong> is utility data (e.g., land mask for sub-task). (5) <strong>valid_data.tar</strong> contains 2018 year of SoMo.ml, ERA5-Land, SMOS L3, LPRM-AMSR2, which were used to triple collocation analysis in our study. The CMA in-situ datasets only could be available from us after certain permission in CMA.
description: Codes of "Soil Moisture Forecasting integrating Physical-based model and Deep Learning", Journal of Hydrometeorology are open source in https://github.com/leelew/HybridHydro.
DOI: 10.6084/m9.figshare.21993257
title: fig. 1j RNaseR tretment

description: RNase R was treated to cDNA and gDNA from mice intestinal crypts and PCR was performed
DOI: 10.6084/m9.figshare.21993257.v1
title: fig. 1j RNaseR tretment

description: RNase R was treated to cDNA and gDNA from mice intestinal crypts and PCR was performed
DOI: 10.26182/dwyc-s149
title: Solander_ADCP_data_2020
DOI: 10.57967/hf/0319
title: monkey
DOI: 10.6084/m9.figshare.21965003
title: Pterostilbene vs sitagliptin

description: Data share for the pterostilbene vs sitagliptin study
DOI: 10.6084/m9.figshare.21965003.v2
title: Pterostilbene vs sitagliptin

description: Data share for the pterostilbene vs sitagliptin study
DOI: 10.6084/m9.figshare.21965003.v1
title: Pterostilbene vs sitagliptin

description: Data share for the pterostilbene vs sitagliptin study
DOI: 10.17909/bdx3-y846
title: GLASS-JWST UV Slopes

description: Low level data products for GLASS-JWST UV slopes paper, special series ApJL
DOI: 10.5517/ccdc.csd.cc294d84
title: CCDC 2119385: Experimental Crystal Structure Determination

description: Related Article: Ze-Liang He, Peng Chen, Zhi-Chao Chen, Wei Du, Ying-Chun Chen|2022|Org.Lett.|24|100|doi:10.1021/acs.orglett.1c03689
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc294d95
title: CCDC 2119386: Experimental Crystal Structure Determination

description: Related Article: Ze-Liang He, Peng Chen, Zhi-Chao Chen, Wei Du, Ying-Chun Chen|2022|Org.Lett.|24|100|doi:10.1021/acs.orglett.1c03689
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc294db6
title: CCDC 2119387: Experimental Crystal Structure Determination

description: Related Article: Ze-Liang He, Peng Chen, Zhi-Chao Chen, Wei Du, Ying-Chun Chen|2022|Org.Lett.|24|100|doi:10.1021/acs.orglett.1c03689
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc294dc7
title: CCDC 2119388: Experimental Crystal Structure Determination

description: Related Article: Ze-Liang He, Peng Chen, Zhi-Chao Chen, Wei Du, Ying-Chun Chen|2022|Org.Lett.|24|100|doi:10.1021/acs.orglett.1c03689
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc294dd8
title: CCDC 2119389: Experimental Crystal Structure Determination

description: Related Article: Ze-Liang He, Peng Chen, Zhi-Chao Chen, Wei Du, Ying-Chun Chen|2022|Org.Lett.|24|100|doi:10.1021/acs.orglett.1c03689
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc294dlg
title: CCDC 2119395: Experimental Crystal Structure Determination

description: Related Article: Ze-Liang He, Peng Chen, Zhi-Chao Chen, Wei Du, Ying-Chun Chen|2022|Org.Lett.|24|100|doi:10.1021/acs.orglett.1c03689
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.