cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7273771
title: Dataset related to article "Invasive IPMN relapse later and more often in lungs in comparison to pancreatic ductal adenocarcinoma"

description: This record contains data related to article “Invasive IPMN relapse later and more often in lungs in comparison to pancreatic ductal adenocarcinoma” <strong>Background: </strong> The different oncological outcomes of invasive intraductal papillary mucinous neoplasm (I-IPMN) and pancreatic ductal adenocarcinoma (PDAC) are debated. This study aimed to compare disease recurrence patterns and histopathological characteristics in patients with resected I-IPMN and PDAC. <strong>Methods: </strong> Consecutive patients undergoing surgical resection for stage I-III I-IPMN or PDAC between 2010 and 2016 were retrospectively analyzed. Patients treated with neoadjuvant therapy or resected for Tis neoplasia were excluded. All surgical specimens were re-staged according to AJCC-8th-edition. <strong>Results: </strong> A total of 330 patients were included, of whom 43 had I-IPMN and 287 had PDAC. Median follow-up time was 26.7 (1.3-92.3) months and estimated median disease-free survival (DFS) was 60.3 months (47.2-73.4) for I-IPMN and 23.8 (19.3-28.2) months for PDAC (p &lt; 0.001). During follow-up, 32.6% of I-IPMN and 67.9% of PDAC patients experienced recurrence (p &lt; 0.001). The sites of first recurrence were the lungs (38.5% vs 13.1%, p = 0.027), liver (28.6% vs 45.0%, p = 0.180) and local (15.4% vs 36.6%, p = 0.101) for I-IPMN and PDAC, respectively. At multivariate analysis, I-IPMN histology remained an independent predictive factor for longer DFS (OR 0.528, CI 95% 0.278-1.000, p = 0.050), regardless of stage or adjuvant chemotherapy. I-IPMN and PDAC differed in rates of neuroinvasion (51.2% vs 97.2%) and positive lymph node status (N+) (46.5% vs 82.7%), especially in patients with lower T status. <strong>Conclusion: </strong> I-IPMN showed a different recurrence pattern compared to PDAC, with a higher lung tropism, and longer DFS. This different biological behavior is associated with lower rates of neuroinvasion and nodal involvement, especially in early-stage disease.
DOI: 10.6084/m9.figshare.21965165
title: Sources of funding for research articles in medical education journals from 1999-2019 - data.xlsx

description: Dataset of 1822 research articles published in Medical Education, Medical Teacher, Advances in Health Sciences Education and Academic Medicine in 1999, 2004, 2009, 2014 and 2019, analysed for declarations of funding sources and categorised by type of source.
DOI: 10.5519/qd.b4nebu1f
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (4896 records)
DOI: 10.5281/zenodo.7157900
title: Dataset related to the publication "New Technique for Probing the Protecting Character of the Solid Electrolyte Interphase as a Critical but Elusive Property for Pursuing Long Cycle Life Lithium-Ion Batteries"

description: The formation of a protecting nano-layer, so-called Solid Electrolyte Interphase (SEI), on the negative electrode of Li-ion batteries (LIBs) from product precipitation of the cathodic decomposition of the electrolyte is a blessing since the electrically-insulating nature of this nano-layer protect the electrode surface preventing continuous electrolyte decomposition and enabling the large nominal cell voltage of LIBs, e.g. 3.3 – 3.8 V. Thus, the protecting performance of the nano-layer SEI is essential for LIBs to achieve long cycle life. Unfortunately, evaluation of this critical property of the SEI is not trivial. Herein, a new, cheap and easily-implementable methodology is presented to estimate the protecting quality of the SEI; the redox-mediated enhanced coulometry. The key element of the methodology is the addition of a redox-mediator in the electrolyte during degassing step (after the SEI formation cycle). The redox-mediator leads to an internal self-discharge process that is inversely proportional to the protecting character of the SEI. And the self-discharge process results in an easily-measurable decrease in coulombic efficiency. The influence of vinylene carbonate as electrolyte additive in the resulting SEI is used as case study to showcase the potential of the proposed methodology
DOI: 10.5281/zenodo.7157899
title: Dataset related to the publication "New Technique for Probing the Protecting Character of the Solid Electrolyte Interphase as a Critical but Elusive Property for Pursuing Long Cycle Life Lithium-Ion Batteries"

description: The formation of a protecting nano-layer, so-called Solid Electrolyte Interphase (SEI), on the negative electrode of Li-ion batteries (LIBs) from product precipitation of the cathodic decomposition of the electrolyte is a blessing since the electrically-insulating nature of this nano-layer protect the electrode surface preventing continuous electrolyte decomposition and enabling the large nominal cell voltage of LIBs, e.g. 3.3 – 3.8 V. Thus, the protecting performance of the nano-layer SEI is essential for LIBs to achieve long cycle life. Unfortunately, evaluation of this critical property of the SEI is not trivial. Herein, a new, cheap and easily-implementable methodology is presented to estimate the protecting quality of the SEI; the redox-mediated enhanced coulometry. The key element of the methodology is the addition of a redox-mediator in the electrolyte during degassing step (after the SEI formation cycle). The redox-mediator leads to an internal self-discharge process that is inversely proportional to the protecting character of the SEI. And the self-discharge process results in an easily-measurable decrease in coulombic efficiency. The influence of vinylene carbonate as electrolyte additive in the resulting SEI is used as case study to showcase the potential of the proposed methodology
DOI: 10.5517/ccdc.csd.cc2btbp6
title: CCDC 2169308: Experimental Crystal Structure Determination

description: Related Article: Adela Abidi, Emmanuelle Fortin, Kariane Larocque, Mohamed Essalhi, Nour Dissem, Daniel Chartrand, Thierry Maris, Adam Duong|2023|CrystEngComm|25|1018|doi:10.1039/D2CE01505F
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.cc2btbq7
title: CCDC 2169309: Experimental Crystal Structure Determination

description: Related Article: Adela Abidi, Emmanuelle Fortin, Kariane Larocque, Mohamed Essalhi, Nour Dissem, Daniel Chartrand, Thierry Maris, Adam Duong|2023|CrystEngComm|25|1018|doi:10.1039/D2CE01505F
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.cc2btbr8
title: CCDC 2169310: Experimental Crystal Structure Determination

description: Related Article: Adela Abidi, Emmanuelle Fortin, Kariane Larocque, Mohamed Essalhi, Nour Dissem, Daniel Chartrand, Thierry Maris, Adam Duong|2023|CrystEngComm|25|1018|doi:10.1039/D2CE01505F
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.cc2btbs9
title: CCDC 2169311: Experimental Crystal Structure Determination

description: Related Article: Adela Abidi, Emmanuelle Fortin, Kariane Larocque, Mohamed Essalhi, Nour Dissem, Daniel Chartrand, Thierry Maris, Adam Duong|2023|CrystEngComm|25|1018|doi:10.1039/D2CE01505F
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.cc2btbtb
title: CCDC 2169312: Experimental Crystal Structure Determination

description: Related Article: Adela Abidi, Emmanuelle Fortin, Kariane Larocque, Mohamed Essalhi, Nour Dissem, Daniel Chartrand, Thierry Maris, Adam Duong|2023|CrystEngComm|25|1018|doi:10.1039/D2CE01505F
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.cc2btbvc
title: CCDC 2169313: Experimental Crystal Structure Determination

description: Related Article: Adela Abidi, Emmanuelle Fortin, Kariane Larocque, Mohamed Essalhi, Nour Dissem, Daniel Chartrand, Thierry Maris, Adam Duong|2023|CrystEngComm|25|1018|doi:10.1039/D2CE01505F
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.cc2bx6bt
title: CCDC 2172056: Experimental Crystal Structure Determination

description: Related Article: Konrad Dyk, Vasyl Kinzhybalo, Grzegorz Czernel, Wojciech Grudziński, Yuriy Horak, Serhii Butenko, Daniel M. Kamiński|2023|CrystEngComm|25|971|doi:10.1039/D2CE01681H
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.cc2bx67q
title: CCDC 2172053: Experimental Crystal Structure Determination

description: Related Article: Konrad Dyk, Vasyl Kinzhybalo, Grzegorz Czernel, Wojciech Grudziński, Yuriy Horak, Serhii Butenko, Daniel M. Kamiński|2023|CrystEngComm|25|971|doi:10.1039/D2CE01681H
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.cc26btr4
title: CCDC 2036196: Experimental Crystal Structure Determination

description: Related Article: Kai Chen, Zhao-Qiang Zhu, Ming-Hui Zhang, Xiang Yang, Jie Li, Chen Chen, Carl Redshaw|2023|CrystEngComm|25|961|doi:10.1039/D2CE01470J
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.cc26bts5
title: CCDC 2036197: Experimental Crystal Structure Determination

description: Related Article: Kai Chen, Zhao-Qiang Zhu, Ming-Hui Zhang, Xiang Yang, Jie Li, Chen Chen, Carl Redshaw|2023|CrystEngComm|25|961|doi:10.1039/D2CE01470J
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.cc26btt6
title: CCDC 2036198: Experimental Crystal Structure Determination

description: Related Article: Kai Chen, Zhao-Qiang Zhu, Ming-Hui Zhang, Xiang Yang, Jie Li, Chen Chen, Carl Redshaw|2023|CrystEngComm|25|961|doi:10.1039/D2CE01470J
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.22014926
title: Multivariate and univariate GWAS summay statistics for amygdala volumes

description: Multivariate GWAS of amygdala volumes Univariate GWAS of accessory basal nucleus Univariate GWAS of anterior amygdaloid area-AAA Univariate GWAS of basal nucleus Univariate GWAS of central nucleus Univariate GWAS of cortical nucleus Univariate GWAS of corticoamygdaloid transitio Univariate GWAS of lateral nucleus Univariate GWAS of medial nucleus Univariate GWAS of paralaminar nucleus Univariate GWAS of whole amygdala volume
DOI: 10.18112/openneuro.ds004463.v1.0.0
title: functional MRI of sleeping pigeons at 7T scanner
DOI: 10.5281/zenodo.7610941
title: BCR simulated data

description: Simulated bulk BCR sequencing data for benchmarking BCRseq pipelines
DOI: 10.5281/zenodo.7610940
title: BCR simulated data

description: Simulated bulk BCR sequencing data for benchmarking BCRseq pipelines
DOI: 10.5281/zenodo.7610985
title: Data set from Fischertechnik Smart Factory Model at University of St.Gallen (Standard Fischertechnik Configuration)

description: This is about 90 mins worth of data collected via the MQTT interface of the Fischertechnik Industry 9.0V smart factory model available at the University of St.Gallen. Each entry in the file corresponds to one message (as JSON object) received on a specific topic via MQTT. The description of the MQTT interface can be found here: https://github.com/fischertechnik/txt_training_factory/blob/master/TxtSmartFactoryLib/doc/MqttInterface.md Check the following publications to learn more about our research using the model factory: Malburg, L., Seiger, R., Bergmann, R., & Weber, B. (2020). Using physical factory simulation models for business process management research. In <em>Business Process Management Workshops: BPM 2020 International Workshops, Seville, Spain, September 13–18, 2020, Revised Selected Papers 18</em> (pp. 95-107). Springer International Publishing. Seiger, R., Zerbato, F., Burattin, A., García-Bañuelos, L., & Weber, B. (2020, October). Towards iot-driven process event log generation for conformance checking in smart factories. In <em>2020 IEEE 24th International Enterprise Distributed Object Computing Workshop (EDOCW)</em> (pp. 20-26). IEEE. Seiger, R., Malburg, L., Weber, B., & Bergmann, R. (2022). Integrating process management and event processing in smart factories: A systems architecture and use cases. <em>Journal of Manufacturing Systems</em>, <em>63</em>, 575-592.
DOI: 10.5281/zenodo.7610984
title: Data set from Fischertechnik Smart Factory Model at University of St.Gallen (Standard Fischertechnik Configuration)

description: This is about 90 mins worth of data collected via the MQTT interface of the Fischertechnik Industry 9.0V smart factory model available at the University of St.Gallen. Each entry in the file corresponds to one message (as JSON object) received on a specific topic via MQTT. The description of the MQTT interface can be found here: https://github.com/fischertechnik/txt_training_factory/blob/master/TxtSmartFactoryLib/doc/MqttInterface.md Check the following publications to learn more about our research using the model factory: Malburg, L., Seiger, R., Bergmann, R., & Weber, B. (2020). Using physical factory simulation models for business process management research. In <em>Business Process Management Workshops: BPM 2020 International Workshops, Seville, Spain, September 13–18, 2020, Revised Selected Papers 18</em> (pp. 95-107). Springer International Publishing. Seiger, R., Zerbato, F., Burattin, A., García-Bañuelos, L., & Weber, B. (2020, October). Towards iot-driven process event log generation for conformance checking in smart factories. In <em>2020 IEEE 24th International Enterprise Distributed Object Computing Workshop (EDOCW)</em> (pp. 20-26). IEEE. Seiger, R., Malburg, L., Weber, B., & Bergmann, R. (2022). Integrating process management and event processing in smart factories: A systems architecture and use cases. <em>Journal of Manufacturing Systems</em>, <em>63</em>, 575-592.
DOI: 10.5522/04/21953081
title: CINS Trial Dataset

description: Comprises three Stata files generated during the CINS cluster randomised controlled trial. The data was collected from IDP households living in camps near to Mogadishu, Somalia. The data was collected on digital devices running ODK and cleaned, analysed and curated using Stata.
DOI: 10.5522/04/21953081.v1
title: CINS Trial Dataset

description: Comprises three Stata files generated during the CINS cluster randomised controlled trial. The data was collected from IDP households living in camps near to Mogadishu, Somalia. The data was collected on digital devices running ODK and cleaned, analysed and curated using Stata.
DOI: 10.5281/zenodo.7611037
title: Dataset related to article "EASIX predicts non-relapse mortality after haploidentical transplantation with post-transplant cyclophosphamide

description: This record contains raw data related to article “EASIX predicts non-relapse mortality after haploidentical transplantation with post-transplant cyclophosphamide" Endothelial Activation and Stress Index (EASIX) is a prognostic score reflecting endothelial damage. It can identify cohorts of patients at higher risk of non-relapse mortality (NRM) after allogeneic stem cell transplantation (SCT) from a matched-related or -unrelated donor. No data are available in the setting of haploidentical-SCT with post-transplant cyclophosphamide (PT-Cy). We retrospectively analyzed the role of EASIX score in a cohort of 266 patients receiving Haplo-SCT with PT-Cy at our center. By a decision-tree model, 1-year NRM was 16% vs. 29% and overall survival was 59% vs. 32%, respectively, for patients with a pre-transplant EASIX (EASIX-PRE) &lt;0.8 vs. ≥0.8 (p &lt; 0.001). By multivariable analysis, EASIX-PRE was an independent predictor of NRM (hazard ratio [HR] 2.43, p &lt; 0.001) and overall survival (HR: 1.64, p = 0.011). EASIX-PRE did not predict patients at higher risk of developing acute graft-versus-host disease (GVHD) but was an independent predictor of 1-year NRM (3.2 cutoff, HR 6.61, p = 0.002; &lt;3.2 vs. ≥3.2: 10% vs. 56%, p &lt; 0.001) in patients developing acute GVHD. EASIX score can also represent an important tool to predict mortality in the setting of Haplo-SCT with PT-Cy. It may help to make therapeutic decisions both before the transplant and at the onset of acute GVHD.
DOI: 10.5281/zenodo.7611036
title: Dataset related to article "EASIX predicts non-relapse mortality after haploidentical transplantation with post-transplant cyclophosphamide

description: This record contains raw data related to article “EASIX predicts non-relapse mortality after haploidentical transplantation with post-transplant cyclophosphamide" Endothelial Activation and Stress Index (EASIX) is a prognostic score reflecting endothelial damage. It can identify cohorts of patients at higher risk of non-relapse mortality (NRM) after allogeneic stem cell transplantation (SCT) from a matched-related or -unrelated donor. No data are available in the setting of haploidentical-SCT with post-transplant cyclophosphamide (PT-Cy). We retrospectively analyzed the role of EASIX score in a cohort of 266 patients receiving Haplo-SCT with PT-Cy at our center. By a decision-tree model, 1-year NRM was 16% vs. 29% and overall survival was 59% vs. 32%, respectively, for patients with a pre-transplant EASIX (EASIX-PRE) &lt;0.8 vs. ≥0.8 (p &lt; 0.001). By multivariable analysis, EASIX-PRE was an independent predictor of NRM (hazard ratio [HR] 2.43, p &lt; 0.001) and overall survival (HR: 1.64, p = 0.011). EASIX-PRE did not predict patients at higher risk of developing acute graft-versus-host disease (GVHD) but was an independent predictor of 1-year NRM (3.2 cutoff, HR 6.61, p = 0.002; &lt;3.2 vs. ≥3.2: 10% vs. 56%, p &lt; 0.001) in patients developing acute GVHD. EASIX score can also represent an important tool to predict mortality in the setting of Haplo-SCT with PT-Cy. It may help to make therapeutic decisions both before the transplant and at the onset of acute GVHD.
DOI: 10.6084/m9.figshare.21820746
title: Supplementary Material for: Improvements in disease activity partially mediate the effect of tofacitinib treatment on generic and disease-specific health-related quality of life in patients with ulcerative colitis: data from the OCTAVE program

description: Background: Patients with ulcerative colitis (UC) often report impaired health-related quality of life (HRQoL). Tofacitinib is an oral small molecule Janus kinase inhibitor for the treatment of UC. In addition to previous demonstrations of improved clinical measures (e.g., Mayo score), tofacitinib has been shown to improve HRQoL in patients with UC. This analysis explored the interrelationships among tofacitinib treatment, HRQoL, and disease activity (measured using Mayo subscores) using mediation modeling. Methods: Data were collected from two 8-week induction studies (OCTAVE Induction 1 and 2) in patients with moderate to severe UC treated with tofacitinib or placebo. Two mediation models were specified. First, Mayo subscores were mediators between the binary treatment variable (tofacitinib vs placebo) and the eight Short Form-36 Health Survey (SF 36) domain scores as outcomes. Second, the four Inflammatory Bowel Disease Questionnaire (IBDQ) domain scores served as outcomes. Both models used data collected at Week 8. Results: Overall, 1073 and 1079 patients were included in the SF-36- and IBDQ-based models, respectively. For all SF-36 domains, improvements in Mayo subscores were estimated to explain 65.6% (bodily pain) to 92.9% (mental health) of the total treatment effect on SF-36 domain scores (all p&lt;0.05). For all IBDQ domains, improvements in Mayo subscores explained 71.6% (systemic symptoms) to 84.7% (emotional function) of the total treatment effect (all p&lt;0.05). Conclusion: Mayo scores and Mayo subscores are significant but incomplete contributors to tofacitinib’s effect on HRQoL in patients with moderate to severe UC. ClinicalTrials.gov: NCT01465763; NCT01458951.
DOI: 10.5522/04/21988838.v1
title: The effects of moral context on the colours of guilt and pride

description: The data is used for publishing the following paper. The dataset is accompanied by an experimental protocol and features the links between emotions, colours, and contexts. <br> Zaikauskaite, L., French, P., Stojanovic, M., & Tsivrikos, D. (2020). The effects of moral context on the colours of guilt and pride. <em>The Social Science Journal</em>, 1-16.
DOI: 10.5522/04/21988838
title: The effects of moral context on the colours of guilt and pride

description: The data is used for publishing the following paper. The dataset is accompanied by an experimental protocol and features the links between emotions, colours, and contexts. <br> Zaikauskaite, L., French, P., Stojanovic, M., & Tsivrikos, D. (2020). The effects of moral context on the colours of guilt and pride. <em>The Social Science Journal</em>, 1-16.