cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7428435
title: Datasets to Evaluate Accuracy, Miscalibration and Popularity Lift in Recommendations

description: This repository contains three datasets for evaluating accuracy, miscalibration and popularity lift in recommender systems. All datasets contain genre/category information in addition to different user group splits: Last.fm (lfm.zip), based on the LFM-1b dataset of JKU Linz (http://www.cp.jku.at/datasets/LFM-1b/) MovieLens (ml.zip), based on MovieLens-1M dataset (https://grouplens.org/datasets/movielens/1m/) MyAnimeList (anime.zip), based on the MyAnimeList dataset of Kaggle (https://www.kaggle.com/CooperUnion/anime-recommendations-database) 'user_events_cats.txt' contains the users' rating/interaction data along with a list of genres/categories assigend to the rated items. The list of categories is given in 'categories.txt'. Additionally, assignments to three user groups that differ in their inclination to popular/mainstream items are provided: LowPop in 'low_main_users.txt', MedPop in 'med_main_users.txt', and HighPop in 'high_main_users.txt'. The format of the three user files are "user,mainstreaminess" The format of the user-events files are "user,item,preference,cats", where different categories are separated by '|' The format of the categories files are "category-name,index", where index refers to the category-id in the user-events files Example Python-code for analyzing the datasets as well as empirical results on calibration, popularity lift and accuracy can be found on GitHub: https://github.com/domkowald/FairRecSys
DOI: 10.6084/m9.figshare.24125043
title: CpG Probes

description: for "<b>Comparing feature selection and machine learning approaches for predicting </b><b><i>CYP2D6</i></b><b> methylation from genetic variations</b>"
DOI: 10.5517/ccdc.csd.cc25qgs5
title: CCDC 2017597: Experimental Crystal Structure Determination

description: Related Article: Ravinder Kumar, Raj Kamal, Vipin Kumar, Prabhakar Chetti|2023|J.Mol.Struct.|1294|136481|doi:10.1016/j.molstruc.2023.136481
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.cc29ctvc
title: CCDC 2126533: Experimental Crystal Structure Determination

description: Related Article: Abdulrahman I. Almansour, Manal Fahad Alkaltham, Natarajan Arumugam, Saied M. Soliman, Vedichi Madhu, Shatha Ibrahim Alaqeel, Necmi Dege, Ponmurugan Karuppiah, Karthikeyan Perumal|2023|J.Mol.Struct.|1294|136496|doi:10.1016/j.molstruc.2023.136496
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.cc2f1j9b
title: CCDC 2235791: Experimental Crystal Structure Determination

description: Related Article: Ying Zeng, Xiangxiang Zhai, Guangming Wang, Yuming Su, Minjian Wu, Biaobing Wang, Kaka Zhang|2023|Dyes Pigm.|219|111643|doi:10.1016/j.dyepig.2023.111643
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.cc2f1l25
title: CCDC 2235846: Experimental Crystal Structure Determination

description: Related Article: Chaima Zouari, Omar Kammoun, Slim Elleuch, Mohamed Boujelbene, Mohamed Abdelhedi|2023|J.Mol.Struct.|1294|136456|doi:10.1016/j.molstruc.2023.136456
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.24125031
title: List of SNPs

description: for "<b>Comparing feature selection and machine learning approaches for predicting </b><b><i>CYP2D6</i></b><b> methylation from genetic variations</b>"
DOI: 10.6084/m9.figshare.24125031.v1
title: List of SNPs

description: for "<b>Comparing feature selection and machine learning approaches for predicting </b><b><i>CYP2D6</i></b><b> methylation from genetic variations</b>"
DOI: 10.5517/ccdc.csd.cc2fmykl
title: CCDC 2253500: Experimental Crystal Structure Determination

description: Related Article: Alan K.X. Tan, Jing Kang Chia, Jia Jun Zen Teng, Yan Cheng Steve Chiow, Weiting Zhai, Simin Wu, Xuan Peng Lee, Xingtong Guo, Peter P.F. Lee, Rakesh Ganguly, Yong Leng Kelvin Tan|2023|Inorg.Chim.Acta|558|121739|doi:10.1016/j.ica.2023.121739
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.cc2fmylm
title: CCDC 2253501: Experimental Crystal Structure Determination

description: Related Article: Alan K.X. Tan, Jing Kang Chia, Jia Jun Zen Teng, Yan Cheng Steve Chiow, Weiting Zhai, Simin Wu, Xuan Peng Lee, Xingtong Guo, Peter P.F. Lee, Rakesh Ganguly, Yong Leng Kelvin Tan|2023|Inorg.Chim.Acta|558|121739|doi:10.1016/j.ica.2023.121739
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.cc2frf7w
title: CCDC 2256838: Experimental Crystal Structure Determination

description: Related Article: Xiang-Wen Wang, Lianshe Fu, Guang-Hua Cui|2023|Polyhedron|244|116624|doi:10.1016/j.poly.2023.116624
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.cc2frfbz
title: CCDC 2256841: Experimental Crystal Structure Determination

description: Related Article: Xiang-Wen Wang, Lianshe Fu, Guang-Hua Cui|2023|Polyhedron|244|116624|doi:10.1016/j.poly.2023.116624
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.cc2frfh4
title: CCDC 2256846: Experimental Crystal Structure Determination

description: Related Article: Xiang-Wen Wang, Lianshe Fu, Guang-Hua Cui|2023|Polyhedron|244|116624|doi:10.1016/j.poly.2023.116624
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.cc2fy2gy
title: CCDC 2262270: Experimental Crystal Structure Determination

description: Related Article: Liang-Jun Li, Yu-Ting Luo, Yi-Qi Tian, Pu Wang, Xiao-Yi Yi, Jun Yan, Yong Pei, Chao Liu|2023|Inorg.Chem.|62|14377|doi:10.1021/acs.inorgchem.3c02083
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: 10.5281/zenodo.8337031
title: CSF PCT levels in patients with intracranial hemorrhage.

description: CSF PCT levels in patients with intracranial hemorrhage.
DOI: 10.5281/zenodo.8337030
title: CSF PCT levels in patients with intracranial hemorrhage.

description: CSF PCT levels in patients with intracranial hemorrhage.
DOI: 10.6084/m9.figshare.24124092
title: GUSTO_nongenetic_demo_withNA.csv

description: for "<b>Comparing feature selection and machine learning approaches for predicting </b><b><i>CYP2D6</i></b><b> methylation from genetic variations</b>"
DOI: 10.57745/ul8bdz
title: 2023-upcite-opus-editorial-activities-data.tab

description: :unav
DOI: 10.57745/2afmbk
title: readme.md

description: :unav
DOI: 10.4121/fbbe775b-48d8-469f-a39b-b64488bfd6fd
title: Low Carbon London smart meter data (refactored)

description: This dataset contains half hourly smart meter measurements of 4443 households, obtained during the Low Carbon London project, during 2013.<br>It is a refactored version of the data released by UK Power Networks under CC-BY license. The following filters have been applied:Only readings for households on the 'Std' tariff (i.e., non-time-of-use) have been retained'Null' readings have been droppedOnly data pertaining to energy consumption in 2013 has been retained. The first measurement has time stamp '2013-01-01 00:30:00.0000000' and the final measurement has time stamp '2014-01-01 00:00:00.0000000'.<br>Description of the data format:Zipped CSV file (utf-8 encoding, comma deliminator)First column is DateTime (GMT; no adjustment for British Summer Time)First row contains household labelsMeasurements are in <strong>kWh (energy consumption) for the <em>preceding</em> half hour</strong>. Note that to generate power profiles (with interpretation as average power in kW per half hour) requires multiplication by two.<br><strong>Note</strong>: a cleaner version of the same data set, accompanied by survey data, is available under a more restrictive license at DOI: http://doi.org/10.5255/UKDA-SN-7857-2.
DOI: 10.4121/fbbe775b-48d8-469f-a39b-b64488bfd6fd.v1
title: Low Carbon London smart meter data (refactored)

description: This dataset contains half hourly smart meter measurements of 4443 households, obtained during the Low Carbon London project, during 2013.<br>It is a refactored version of the data released by UK Power Networks under CC-BY license. The following filters have been applied:Only readings for households on the 'Std' tariff (i.e., non-time-of-use) have been retained'Null' readings have been droppedOnly data pertaining to energy consumption in 2013 has been retained. The first measurement has time stamp '2013-01-01 00:30:00.0000000' and the final measurement has time stamp '2014-01-01 00:00:00.0000000'.<br>Description of the data format:Zipped CSV file (utf-8 encoding, comma deliminator)First column is DateTime (GMT; no adjustment for British Summer Time)First row contains household labelsMeasurements are in <strong>kWh (energy consumption) for the <em>preceding</em> half hour</strong>. Note that to generate power profiles (with interpretation as average power in kW per half hour) requires multiplication by two.<br><strong>Note</strong>: a cleaner version of the same data set, accompanied by survey data, is available under a more restrictive license at DOI: http://doi.org/10.5255/UKDA-SN-7857-2.
DOI: 10.5281/zenodo.8335271
title: Cipher Machine Hagelin CX-52_surface meshes (Inv. 2017-390)

description: Surface Meshes created from reconstructed CT-image stacks.<br> The inital CT dataset is linked as a related identifier.
DOI: 10.5281/zenodo.8135751
title: Cipher Machine Hagelin CX-52 (Inv. 2017-390)

description: This dataset represents the computed tomography image acquisition of a historical cipher machine from the collection of the Deutsches Museum. It is composed of CT reconstructed image stacks in the DICOM (.dcm) format.<br> It can be imported in any free or propietary CT-Viewer that supports the DICOM standard to generated 2D and 3D imaging.<br> If segmentations/ROIs are availabe, they are uploaded in a seperate image stacks and are a subset of the scanned cipher machine. object details:<br> name: Hagelin CX-52<br> Inv.-No. of the Deutsches Museum: 2017-390 file object details:<br> file format: image/dcm<br> pixel spacing unit: mm<br> X pixel spacing: 0.181<br> Y pixel spacing: 0.181<br> Z pixel spacing: 0.181<br> grid size x: 1710<br> grid size y: 1365<br> grid size z: 1087<br> color depth: 16Bit ownership & image acquisition:<br> project: 3D-Cipher<br> collection: Deutsches Museum<br> IP holder: Deutsches Museum<br> license: Creative Commons BY-SA 4.0<br> scanning facility: Fraunhofer Development Center X-ray Technology EZRT/Fraunhofer IIS<br> scanning device: High Energy CT XXL-CT<br> Funding attribution: German Federal Ministry of Education and Research<br> acknowledgement: CryptoMuseum (as main source for informations about the cipher machines)
description: Funding: German Federal Ministry of Education and Research (BMBF), grant programme: eHeritage.
DOI: 10.5281/zenodo.8335272
title: Cipher Machine Hagelin CX-52_surface meshes (Inv. 2017-390)

description: Surface Meshes created from reconstructed CT-image stacks.<br> The inital CT dataset is linked as a related identifier.
DOI: 10.5281/zenodo.8135750
title: Cipher Machine Hagelin CX-52 (Inv. 2017-390)

description: This dataset represents the computed tomography image acquisition of a historical cipher machine from the collection of the Deutsches Museum. It is composed of CT reconstructed image stacks in the DICOM (.dcm) format.<br> It can be imported in any free or propietary CT-Viewer that supports the DICOM standard to generated 2D and 3D imaging.<br> If segmentations/ROIs are availabe, they are uploaded in a seperate image stacks and are a subset of the scanned cipher machine. object details:<br> name: Hagelin CX-52<br> Inv.-No. of the Deutsches Museum: 2017-390 file object details:<br> file format: image/dcm<br> pixel spacing unit: mm<br> X pixel spacing: 0.181<br> Y pixel spacing: 0.181<br> Z pixel spacing: 0.181<br> grid size x: 1710<br> grid size y: 1365<br> grid size z: 1087<br> color depth: 16Bit ownership & image acquisition:<br> project: 3D-Cipher<br> collection: Deutsches Museum<br> IP holder: Deutsches Museum<br> license: Creative Commons BY-SA 4.0<br> scanning facility: Fraunhofer Development Center X-ray Technology EZRT/Fraunhofer IIS<br> scanning device: High Energy CT XXL-CT<br> Funding attribution: German Federal Ministry of Education and Research<br> acknowledgement: CryptoMuseum (as main source for informations about the cipher machines)
description: Funding: German Federal Ministry of Education and Research (BMBF), grant programme: eHeritage.
DOI: 10.6084/m9.figshare.24125067
title: Supplementary Material for: Three-dimensional arterial spin labeling for the evaluation of the cerebral hemodynamics in ischemic and hemorrhagic Moyamoya disease

description: Introduction: Moyamoya disease (MMD) is a vascular disease with significant risk of mortality due to ischemia or hemorrhage in the brain. The goal of the study was to explore three-dimensional arterial spin labeling (3D-ASL) to improve evaluation of cerebral hemodynamics in patients with MMD. Methods: Our study included 54 cases of ischemic MMD and 42 cases of hemorrhagic MMD. Dynamic susceptibility contrast-enhanced perfusion weighted imaging (DSC-PWI) and 3D-ASL were performed at 3.0 T. Based on these scans, cerebral blood flow (CBF), mean transit time (MTT) and time to peak (TTP) were calculated and compared between patients with different disease subtypes. Receiver operating characteristics (ROC) analysis was used to assess the diagnostic sensitivity and specificity of different imaging procedures and parameters. Results: Our data suggested that CBF in the lesion area was more severely reduced in patients with hemorrhagic MMD than in those with ischemic MMD. The CBF parameter in 3D-ASL diagnosed hemorrhagic and ischemic MMD with a significant sensitivity and specificity of 80.59% and 57.41% respectively, with an area under the curve (AUC) of 0.75. We also found that the relative CBF (rCBF) of 3D-ASL was more pronounced decreased and the relative MTT and TTP of DSC-PWI were significantly increased in patients with hemorrhagic MMD than those with ischemic MMD. Specificity and sensitivity, and AUC of 3D-ASL were better than the comparison of absolute values from DSC-PWI scans. Discussion/Conclusion: Our study indicated that 3D-ASL is powerful in differentiating patients with cerebral ischemic or hemorrhagic MMD, providing another diagnostic tool that could potentially improve precision medicine to monitoring MMD patients.
DOI: 10.6084/m9.figshare.24125067.v1
title: Supplementary Material for: Three-dimensional arterial spin labeling for the evaluation of the cerebral hemodynamics in ischemic and hemorrhagic Moyamoya disease

description: Introduction: Moyamoya disease (MMD) is a vascular disease with significant risk of mortality due to ischemia or hemorrhage in the brain. The goal of the study was to explore three-dimensional arterial spin labeling (3D-ASL) to improve evaluation of cerebral hemodynamics in patients with MMD. Methods: Our study included 54 cases of ischemic MMD and 42 cases of hemorrhagic MMD. Dynamic susceptibility contrast-enhanced perfusion weighted imaging (DSC-PWI) and 3D-ASL were performed at 3.0 T. Based on these scans, cerebral blood flow (CBF), mean transit time (MTT) and time to peak (TTP) were calculated and compared between patients with different disease subtypes. Receiver operating characteristics (ROC) analysis was used to assess the diagnostic sensitivity and specificity of different imaging procedures and parameters. Results: Our data suggested that CBF in the lesion area was more severely reduced in patients with hemorrhagic MMD than in those with ischemic MMD. The CBF parameter in 3D-ASL diagnosed hemorrhagic and ischemic MMD with a significant sensitivity and specificity of 80.59% and 57.41% respectively, with an area under the curve (AUC) of 0.75. We also found that the relative CBF (rCBF) of 3D-ASL was more pronounced decreased and the relative MTT and TTP of DSC-PWI were significantly increased in patients with hemorrhagic MMD than those with ischemic MMD. Specificity and sensitivity, and AUC of 3D-ASL were better than the comparison of absolute values from DSC-PWI scans. Discussion/Conclusion: Our study indicated that 3D-ASL is powerful in differentiating patients with cerebral ischemic or hemorrhagic MMD, providing another diagnostic tool that could potentially improve precision medicine to monitoring MMD patients.
DOI: 10.3886/e190485v1-141441
title: Data and Code for "Terms of the deal were not announced: Accounting for mergers with unpublicized values"

description: This workspace contains data and code for the article "Terms of the deal were not announced: Accounting for mergers with unpublicized values." The article is summarized as follows. <br><br>Most economy-wide studies of merger activity ignore deals whose terms are not announced. Using US data, I find that restricting attention to mergers with publicized values eliminates 60% or more of transactions. Exploiting a change in antitrust law, I find that mergers with unpublicized values are competitively significant. The data even suggest that these transactions reflect, at least in part, strategic attempts to avoid enforcement actions by escaping detection. Last, relying on an idiosyncratic feature of accounting standards to infer their size distribution, I find that ignoring mergers with unpublicized values under-measures the extent of stealth consolidation by 40%.<br><br>
DOI: 10.6084/m9.figshare.24125103
title: Supplementary Material for: Hepatic Artery Anomalies in Pancreaticoduodenectomy: Outcomes from a High-Volume Center

description: Introduction Hepatic artery anomalies (HAA) and may have an impact on surgical and oncological outcomes of patients undergoing pancreaticoduodenectomy (PD). Methods Patients undergone PD at our Institution between July 2015 and January 2020 were retrospectively reviewed and classified into two groups: Group 1, presence of HAA and Group 2, no HAA. A weighted logistic regression model employed to assess the association between HAA and postoperative complications, and to assess the association between HAA and R status in patients with pancreatic cancer. Results 502 patients were considered for analysis, with 75 (15%) of them in Group 1. They had either an accessory (aRHA, n=28, 40.8%) or replaced (rRHA, n=26, 36.6%) right hepatic artery. Most patients underwent surgery for a malignancy (n= 451; 90%); among them, vascular resection was performed in 69 cases (15%). The presence of a HAA was reported at pre-operative imaging only in 4 cases (5%)and the aberrant vessel was preserved in 72% of patients. At weighted multivariable logistic regression analysis, HAA were not associated to higher odds of morbidity (OR 0.753, 95%CI 0.543-1.043) nor to R1 status in case of pancreatic cancer (OR 1.583, 95%CI 0.979-2.561). Conclusion In our institution the presence of HAA doesn’t have an impact on post-operative outcomes nor affects oncological clearance in PD. Hospitals’, surgeon’s volume and systematic review of preoperative imaging are all factors that help to reduce possible adverse events.
DOI: 10.34658/rdb.q7xtah/i3ahuc
title: AEE_art09_int_wydrukowany.pdf

description: Article
DOI: 10.34658/rdb.q7xtah
title: Investigation of local properties of the Fe-Si alloy subjected to mechanical and laser cutting

description: The effective design of energy-saving electric motors with efficiency class IE4 and higher requires the use of material characteristics that take into account the core shaping process. Therefore, it becomes necessary to use analytical or numerical models that take into account the change of local properties of Fe-Si material. The aim of the work is to indicate a useful analytical model for estimating the local magnetic permeability of the material, as well as to understand the reasons for these changes. For this purpose, low-loss ferromagnetic materials cut with a guillotine and a laser were tested. Rectangular samples, cut at an angle of 0 degrees in relation to the rolling direction, were subjected to macroscopic and microscopic examinations. Finally, the main reasons for changes in material characteristics for both cutting technologies were indicated. Therefore, the proposed model takes into account not only the cutting technology used, but also the current width of the tested strip, for which the material characteristics are to be determined. The parameters of the analytical model are determined on the basis of a limited number of measurements carried out on samples of a simple geometric shape