cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5836198
title: Correlation Between Insulation Resistance and Temperature Measurement Error in Type K and Type N Mineral Insulated, Metal Sheathed Thermocouples

description: Mineral insulated, metal sheathed (MI) Type K and Type N thermocouples are<br> widely used in industry for process monitoring and control. One factor that limits<br> their accuracy is the dramatic decrease in the insulation resistance at temperatures<br> above about 600 °C which results in temperature measurement errors due to electrical<br> shunting. In this work the insulation resistance of a cohort of representative MI<br> thermocouples was characterised at temperatures up to 1160 °C, with simultaneous<br> measurements of the error in indicated temperature by in situ comparison with a reference<br> Type R thermocouple. Intriguingly, there appears to be a systematic relationship<br> between the insulation resistance and the error in the indicated temperature. At<br> a given temperature, as the insulation resistance decreases, there is a corresponding<br> increasingly negative error in the temperature measurement. Although the measurements<br> have a relatively large uncertainty (up to about 1 °C in temperature error and<br> up to about 10 % in insulation resistance measurement), the trend is apparent at all<br> temperatures above 600 °C, which suggests that it is real. Furthermore, the correlation<br> disappears at temperatures below about 600 °C, which is consistent with the<br> well-established diminution of insulation resistance breakdown effects below that<br> temperature. This raises the intriguing possibility of using the as-new MI thermocouple<br> calibration as an indicator of insulation resistance breakdown: large deviations<br> of the electromotive force (emf) in the negative direction could indicate a correspondingly<br> low insulation resistance.
DOI: 10.5281/zenodo.5836197
title: Correlation Between Insulation Resistance and Temperature Measurement Error in Type K and Type N Mineral Insulated, Metal Sheathed Thermocouples

description: Mineral insulated, metal sheathed (MI) Type K and Type N thermocouples are<br> widely used in industry for process monitoring and control. One factor that limits<br> their accuracy is the dramatic decrease in the insulation resistance at temperatures<br> above about 600 °C which results in temperature measurement errors due to electrical<br> shunting. In this work the insulation resistance of a cohort of representative MI<br> thermocouples was characterised at temperatures up to 1160 °C, with simultaneous<br> measurements of the error in indicated temperature by in situ comparison with a reference<br> Type R thermocouple. Intriguingly, there appears to be a systematic relationship<br> between the insulation resistance and the error in the indicated temperature. At<br> a given temperature, as the insulation resistance decreases, there is a corresponding<br> increasingly negative error in the temperature measurement. Although the measurements<br> have a relatively large uncertainty (up to about 1 °C in temperature error and<br> up to about 10 % in insulation resistance measurement), the trend is apparent at all<br> temperatures above 600 °C, which suggests that it is real. Furthermore, the correlation<br> disappears at temperatures below about 600 °C, which is consistent with the<br> well-established diminution of insulation resistance breakdown effects below that<br> temperature. This raises the intriguing possibility of using the as-new MI thermocouple<br> calibration as an indicator of insulation resistance breakdown: large deviations<br> of the electromotive force (emf) in the negative direction could indicate a correspondingly<br> low insulation resistance.
DOI: 10.3886/e159121
title: ProductMarketCompetitionBankruptcy

description: This study investigates the relationship between product market competition and financial default in private firms. Previous literature offers competing views on how intense competition may affect default, predicting either a positive impact related to an increased business risk or a negative impact related to a disciplinary effect. Investigating a sample of Italian private firms, we provide evidence that firms facing more intense competition are more likely to default. Our results are robust to the use of different competition measures and endogeneity tests. Furthermore, we find that the financial default prediction models containing a competition measure have a higher predictive ability than Altman’s model, even when adding industry fixed effects. The increase in predictive ability is economically significant.
DOI: 10.3886/e159121v1
title: ProductMarketCompetitionBankruptcy

description: This study investigates the relationship between product market competition and financial default in private firms. Previous literature offers competing views on how intense competition may affect default, predicting either a positive impact related to an increased business risk or a negative impact related to a disciplinary effect. Investigating a sample of Italian private firms, we provide evidence that firms facing more intense competition are more likely to default. Our results are robust to the use of different competition measures and endogeneity tests. Furthermore, we find that the financial default prediction models containing a competition measure have a higher predictive ability than Altman’s model, even when adding industry fixed effects. The increase in predictive ability is economically significant.
DOI: 10.5281/zenodo.5410616
title: SESMG model scenarios of the study "Indicators for the optimization of sustainable urban energy systems based on energy system modeling"

description: This folder contains the model scenarios belonging to the publication "<strong>Indicators for the optimization of sustainable urban energy systems based on energy system modeling</strong>" (https://doi.org/10.1186/s13705-021-00323-3). The individual scenarios can be executed and evaluated with the <strong>Spreadsheet Energy System Model Generator (SESMG)</strong> v0.0.4, respectively v0.2.0. The file names are to be understood as follows: <em>"scenario name"_"(dispatch) optimization criterion"_"scenario concretization"_"further scenario concretization"_"associated program version"</em>.xlsx. For example, the title name "<em>Scenario3_C_4MW_Biogas_SESMGv0.0.4.xlsx</em>" contains the following information:<br> - This file belongs to scenario 3 (see main publication for details).<br> - Dispatch optimized according to energy costs C (see main publication for details).<br> - The scenario contains 4 MW biogas CHP capacity (see main publication for details)<br> - The scenario is to be executed with SESMG version v0.0.4. Another example. The title name "<em>optimization_C_80PercentDemand_70PercentEmissions_SESMGv0.1.1.xlsx</em>" contains the following information:<br> - This file belongs to the optimization scenario (see main publication for details).<br> - The primary optimization criterion is energy costs C (see main publication for details).<br> - Energy demand was capped at 80 percent and emissions at 70 percent of baseline (see main publication for details)<br> - The scenario is to be executed with SESMG version v0.1.1.<br> <strong>Acknowledgements:</strong> The authors would like to thank Prof. Dr. Peter Vennemann (Münster University of Applied Sciences) for the constructive discussion regarding this article. This research has been conducted within the R2Q project, funded by the German Federal Ministry of Education and Research (BMBF) - grant number 033W102A and the junior research group energy sufficiency funded by the German Federal Ministry of Education and Research (BMBF) as part of its Social-Ecological Research funding priority, funding number 01UU2004A.
DOI: 10.5281/zenodo.5410615
title: SESMG model scenarios of the study "Indicators for the optimization of sustainable urban energy systems based on energy system modeling"

description: This folder contains the model scenarios belonging to the publication "<strong>Indicators for the optimization of sustainable urban energy systems based on energy system modeling</strong>" (https://doi.org/10.1186/s13705-021-00323-3). The individual scenarios can be executed and evaluated with the <strong>Spreadsheet Energy System Model Generator (SESMG)</strong> v0.0.4, respectively v0.2.0. The file names are to be understood as follows: <em>"scenario name"_"(dispatch) optimization criterion"_"scenario concretization"_"further scenario concretization"_"associated program version"</em>.xlsx. For example, the title name "<em>Scenario3_C_4MW_Biogas_SESMGv0.0.4.xlsx</em>" contains the following information:<br> - This file belongs to scenario 3 (see main publication for details).<br> - Dispatch optimized according to energy costs C (see main publication for details).<br> - The scenario contains 4 MW biogas CHP capacity (see main publication for details)<br> - The scenario is to be executed with SESMG version v0.0.4. Another example. The title name "<em>optimization_C_80PercentDemand_70PercentEmissions_SESMGv0.1.1.xlsx</em>" contains the following information:<br> - This file belongs to the optimization scenario (see main publication for details).<br> - The primary optimization criterion is energy costs C (see main publication for details).<br> - Energy demand was capped at 80 percent and emissions at 70 percent of baseline (see main publication for details)<br> - The scenario is to be executed with SESMG version v0.1.1.<br> <strong>Acknowledgements:</strong> The authors would like to thank Prof. Dr. Peter Vennemann (Münster University of Applied Sciences) for the constructive discussion regarding this article. This research has been conducted within the R2Q project, funded by the German Federal Ministry of Education and Research (BMBF) - grant number 033W102A and the junior research group energy sufficiency funded by the German Federal Ministry of Education and Research (BMBF) as part of its Social-Ecological Research funding priority, funding number 01UU2004A.
DOI: 10.5517/ccdc.csd.cc20l4lc
title: CCDC 1864482: Experimental Crystal Structure Determination

description: Related Article: K. Goleva, D. Naumova, A. Pavlishchuk, A.W. Addison, M. Zeller|2018|Acta Crystallogr.,Sect.E:Cryst.Commun.|74|1384|doi:10.1107/S2056989018012227
DOI: 10.25505/fiz.icsd.cc20mn6j
title: CSD 1865927: Experimental Crystal Structure Determination

description: Related Article: Pengfei Jiang, Fuwei Jiang, Mufei Yue, Jing Ju, Chunling Xu, Rihong Cong, Tao Yang|2019|Angew.Chem.,Int.Ed.|58|5978|doi:10.1002/anie.201901373
DOI: 10.25505/fiz.icsd.cc20mn7k
title: CSD 1865928: Experimental Crystal Structure Determination

description: Related Article: Pengfei Jiang, Fuwei Jiang, Mufei Yue, Jing Ju, Chunling Xu, Rihong Cong, Tao Yang|2019|Angew.Chem.,Int.Ed.|58|5978|doi:10.1002/anie.201901373
DOI: 10.25505/fiz.icsd.cc20mpkx
title: CSD 1865969: Experimental Crystal Structure Determination

description: Related Article: Pengfei Jiang, Fuwei Jiang, Mufei Yue, Jing Ju, Chunling Xu, Rihong Cong, Tao Yang|2019|Angew.Chem.,Int.Ed.|58|5978|doi:10.1002/anie.201901373
DOI: 10.25505/fiz.icsd.cc20n3f7
title: CSD 1866368: Experimental Crystal Structure Determination

description: Related Article: Kai-Yao Wang, Hua-Wei Liu, Shu Zhang, Dong Ding, Lin Cheng, Cheng Wang|2019|Inorg.Chem.|58|2942|doi:10.1021/acs.inorgchem.8b02610
DOI: 10.25505/fiz.icsd.cc20n3h9
title: CSD 1866370: Experimental Crystal Structure Determination

description: Related Article: Kai-Yao Wang, Hua-Wei Liu, Shu Zhang, Dong Ding, Lin Cheng, Cheng Wang|2019|Inorg.Chem.|58|2942|doi:10.1021/acs.inorgchem.8b02610
DOI: 10.25505/fiz.icsd.cc20nqcs
title: CSD 1866955: Experimental Crystal Structure Determination

description: Related Article: Pifu Gong, Yi Yang, Fengguang You, Xinyuan Zhang, Gaomin Song, Shengzi Zhang, Qian Huang, Zheshuai Lin|2019|Cryst.Growth Des.|19|1874|doi:10.1021/acs.cgd.8b01850
DOI: 10.25505/fiz.icsd.cc20nqdt
title: CSD 1866956: Experimental Crystal Structure Determination

description: Related Article: Pifu Gong, Yi Yang, Fengguang You, Xinyuan Zhang, Gaomin Song, Shengzi Zhang, Qian Huang, Zheshuai Lin|2019|Cryst.Growth Des.|19|1874|doi:10.1021/acs.cgd.8b01850
DOI: 10.25505/fiz.icsd.cc20nl2c
title: CSD 1866822: Experimental Crystal Structure Determination

description: Related Article: Joseph N. Tang, M.A. Subramanian|2019|J.Solid State Chem.|271|154|doi:10.1016/j.jssc.2018.12.045
DOI: 10.25505/fiz.icsd.cc20nl4f
title: CSD 1866824: Experimental Crystal Structure Determination

description: Related Article: Joseph N. Tang, M.A. Subramanian|2019|J.Solid State Chem.|271|154|doi:10.1016/j.jssc.2018.12.045
DOI: 10.25505/fiz.icsd.cc20nl3d
title: CSD 1866823: Experimental Crystal Structure Determination

description: Related Article: Joseph N. Tang, M.A. Subramanian|2019|J.Solid State Chem.|271|154|doi:10.1016/j.jssc.2018.12.045
DOI: 10.5517/ccdc.csd.cc1zpq6l
title: CCDC 1838120: Experimental Crystal Structure Determination

description: Related Article: R.Y. Morjan, S.M. El-Kurdi, J.N. Azarah, N.A. Eleiwa, O.S. Abu-Teim, A.M. Awadallah, J. Raftery, J.M. Gardiner|2018|Acta Crystallogr.,Sect.E:Cryst.Commun.|74|1362|doi:10.1107/S2056989018011222
description: Related Article: X.-J. Sang, S.-L. Feng, Y. Lu, Y.-X. Zhang, F. Su, L.-C. Zhang, Z.-M. Zhu|2018|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|74|1362|doi:10.1107/S2053229618013037
DOI: 10.25505/fiz.icsd.cc20ptg0
title: CSD 1868012: Experimental Crystal Structure Determination

description: Related Article: Conggang Li, Zeliang Gao, Peng Zhao, Xiangxin Tian, Haoyuan Wang, Qian Wu, Weiqun Lu, Youxuan Sun, Deliang Cui, Xutang Tao|2019|Cryst.Growth Des.|19|1767|doi:10.1021/acs.cgd.8b01750
DOI: 10.25505/fiz.icsd.cc20b9f3
title: CSD 1856944: Experimental Crystal Structure Determination

description: Related Article: Fabrice Dal Bo, Sergey M. Aksenov, Peter C. Burns|2019|J.Solid State Chem.|271|126|doi:10.1016/j.jssc.2018.12.044
DOI: 10.25505/fiz.icsd.cc20czt6
title: CSD 1858568: Experimental Crystal Structure Determination

description: Related Article: Fabrice Dal Bo, Sergey M. Aksenov, Peter C. Burns|2019|J.Solid State Chem.|271|126|doi:10.1016/j.jssc.2018.12.044
DOI: 10.25505/fiz.icsd.cc20czx9
title: CSD 1858571: Experimental Crystal Structure Determination

description: Related Article: Fabrice Dal Bo, Sergey M. Aksenov, Peter C. Burns|2019|J.Solid State Chem.|271|126|doi:10.1016/j.jssc.2018.12.044
DOI: 10.25505/fiz.icsd.cc20czw8
title: CSD 1858570: Experimental Crystal Structure Determination

description: Related Article: Fabrice Dal Bo, Sergey M. Aksenov, Peter C. Burns|2019|J.Solid State Chem.|271|126|doi:10.1016/j.jssc.2018.12.044
DOI: 10.5517/ccdc.csd.cc20pznc
title: CSD 1868173: Experimental Crystal Structure Determination

description: Related Article: Zhaohong Miao, Yun Yang, Zhonglei Wei, Zhihua Yang, Sujuan Yu, Shilie Pan|2019|Inorg.Chem.|58|3937|doi:10.1021/acs.inorgchem.9b00002
DOI: 10.25505/fiz.icsd.cc20q1d6
title: CSD 1868227: Experimental Crystal Structure Determination

description: Related Article: Maxim S. Likhanov, Valeriy Yu. Verchenko, Alexey N. Kuznetsov, Andrei V. Shevelkov|2019|Inorg.Chem.|58|2822|doi:10.1021/acs.inorgchem.8b03468
DOI: 10.25505/fiz.icsd.cc219vjr
title: CSD 1886304: Experimental Crystal Structure Determination

description: Related Article: Yaming Qiu, Cong Lin, Jian Li, Lei Zhang, Le Xu, Yifang Zhao, X. Xin Du, Ligang Wang, Fengjuan Pan, Fuhui Liao, Junliang Sun|2018|Chem.-Eur.J.|24|15491|doi:10.1002/chem.201803093
DOI: 10.48370/ofd/uoy5ed
title: Pleospora phaeocomoides (Berk. Broome) G. Winter, 2954

description: Fungarium Micromycetes
DOI: 10.6084/m9.figshare.18133982
title: Digital Folklore of Rural Tourism in Poland

description: Dataset
DOI: 10.5281/zenodo.5836482
title: The SEIA dataset of global eddies from 2015-2019

description: The SEIA dataset of global eddies from 2015-2019.
DOI: 10.5281/zenodo.5836481
title: The SEIA dataset of global eddies from 2015-2019

description: The SEIA dataset of global eddies from 2015-2019.
DOI: 10.48370/ofd/rmdd5h
title: Pleospora phaeocomoides (Berk. Broome) G. Winter, 2937

description: Fungarium Micromycetes
DOI: 10.5281/zenodo.3365768
title: data_old

description: Temperature and salinity data of Expendable Conductivity–Temperature–Depth recorder (XCTD) profile, merged XCTD profile and Sea-Wing underwater glider data in the northern South China Sea. Yang, Y., Wang, D., Wang, Q., Zeng, L., et al..(2019). Eddy-induced transport of saline Kuroshio water into the northern South China Sea. Journal of Geophysical Research: Oceans
DOI: 10.5281/zenodo.3365767
title: data_old

description: Temperature and salinity data of Expendable Conductivity–Temperature–Depth recorder (XCTD) profile, merged XCTD profile and Sea-Wing underwater glider data in the northern South China Sea. Yang, Y., Wang, D., Wang, Q., Zeng, L., et al..(2019). Eddy-induced transport of saline Kuroshio water into the northern South China Sea. Journal of Geophysical Research: Oceans
DOI: 10.48370/ofd/zky0kp
title: Pleospora phaeocomoides (Berk. Broome) G. Winter, 3882

description: Fungarium Micromycetes
DOI: 10.6084/m9.figshare.18134048
title: Supplementary Material for: Challenges in the Intraoperative Consultation of Low-Grade Epilepsy-Associated Neuroepithelial Tumors by Cytomorphology in Squash Preparations

description: <b><i>Introduction:</i></b> Low-grade epilepsy-associated neuroepithelial tumors (LEATs) create a diagnostic challenge in daily practice and intraoperative pathological consultation (IC) in particular. Squash smears are extremely useful in IC for accurate diagnosis; however, the knowledge on cytopathologic features of LEATs is based on individual case reports. Here, we discuss the 3 most common and well-established entities of LEATs: ganglioglioma (GG), dysembryoplastic neuroepithelial tumor (DNT), and papillary glioneuronal tumor (PGNT). <b><i>Methods:</i></b> Thirty patients who underwent surgery for GG, DNT, and PGNT between 2001 and 2021 were collected. Squash smears prepared during intraoperative consultation were reviewed by 1 cytopathologist and an experienced neuropathologist. <b><i>Results:</i></b> Among the 30 tumors, 16 (53.3%) were GG, 11 (36.6%) DNT, and 3 (10%) PGNT. Cytomorphologically, all of the 3 tumor types share 2 common features such as dual cell population and vasculocentric pattern. GG smears were characteristically composed of dysplastic ganglion cells and piloid-like astrocytes on a complex architectural background of thin- to thick-walled vessels. DNT, on the other hand, showed oligodendroglial-like cells in a myxoid thin fibrillary background associated with a delicate capillary network. Common cytological features of PGNT were hyperchromatic cells with narrow cytoplasm surrounding hyalinized vessels forming a pseudopapillary pattern and bland cells with neuroendocrine nuclei dispersed in a neuropil background. <b><i>Conclusion:</i></b> A higher diagnostic accuracy can be obtained when squash smears are applied with frozen sections. However, it is important to integrate clinical and radiologic features of the patient as well as to know the cytopathologic features of the LEAT spectrum in the context of differential diagnosis to prevent misinterpretation in the IC.
DOI: 10.48370/ofd/4gtuou
title: Pleospora phaeocomoides (Berk. Broome) G. Winter, 60

description: Fungarium Micromycetes
DOI: 10.6084/m9.figshare.18133976
title: Chromatographic Analysis Data of Iodoacetate

description: Data of a chromatographic study of the suitability of the method for the determination of iodoacetate encapsulated in liposomes
DOI: 10.6084/m9.figshare.18133976.v1
title: Chromatographic Analysis Data of Iodoacetate

description: Data of a chromatographic study of the suitability of the method for the determination of iodoacetate encapsulated in liposomes
DOI: 10.6084/m9.figshare.16776250
title: Additional analysis on the potential for mobile demersal fishing to reduce carbon storage and sequestration in seabed sediments

description: In 35 of the 40 studies examined, direct inference on the significance and direction of effects of mobile demersal fishing on OC/OM was made within the publication. This was identified through the display of formal statistical tests or clear statements made within the text. In the five remaining studies, no direct inference was made within the text or supplementary information, however applicable data were presented. In these cases additional analysis was required to infer the impact of demersal mobile fishing on OC/OM. Data used, the references from which they originate and analyses which were undertaken are available within this dataset.<br>
DOI: 10.6084/m9.figshare.16776250.v2
title: Additional analysis on the potential for mobile demersal fishing to reduce carbon storage and sequestration in seabed sediments

description: In 35 of the 40 studies examined, direct inference on the significance and direction of effects of mobile demersal fishing on OC/OM was made within the publication. This was identified through the display of formal statistical tests or clear statements made within the text. In the five remaining studies, no direct inference was made within the text or supplementary information, however applicable data were presented. In these cases additional analysis was required to infer the impact of demersal mobile fishing on OC/OM. Data used, the references from which they originate and analyses which were undertaken are available within this dataset.<br>
DOI: 10.6084/m9.figshare.16776250.v1
title: Additional analysis on the potential for mobile demersal fishing to reduce carbon storage and sequestration in seabed sediments

description: In 35 of the 40 studies examined, direct inference on the significance and direction of effects of mobile demersal fishing on OC/OM was made within the publication. This was identified through the display of formal statistical tests or clear statements made within the text. In the five remaining studies, no direct inference was made within the text or supplementary information, however applicable data were presented. In these cases additional analysis was required to infer the impact of demersal mobile fishing on OC/OM. Data used, the references from which they originate and analyses which were undertaken are available within this dataset.<br>
DOI: 10.5522/04/17145551
title: Agroforestry use by smallholder farmers - Raw questionnaire data (anonymised)

description: Raw questionnaire data corresponding to data collected anonymously and used for results published in People and Nature, 2021. Data has been modified to protect anonymity.
DOI: 10.5522/04/17145551.v1
title: Agroforestry use by smallholder farmers - Raw questionnaire data (anonymised)

description: Raw questionnaire data corresponding to data collected anonymously and used for results published in People and Nature, 2021. Data has been modified to protect anonymity.
DOI: 10.15161/oar.it/74400
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.5519/qd.cceqdpdk
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (139 records)
DOI: 10.6084/m9.figshare.18133986
title: EEG raw dataset7

description: EEG raw dataset in brainvision format. Can be imported to EEGLAB. splitted into 7 subsets due to the limitation on upload size in figshare
DOI: 10.6084/m9.figshare.17914058
title: EEG raw dataset1

description: EEG raw dataset in brainvision format. Can be imported to EEGLAB. splitted into 7 subsets due to the limitation on upload size in figshare