cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21299241.v1
title: Translation into portuguese of a set of questionnaires designed to evaluate the impact of using a telepresence robot during postoperative ward rounds

description: ABSTRACT Introduction: the use of telepresence grows with the advancement of technology integration into medical practice. Regarding surgery, effective distance communication can translate into better perioperative care. Though, the patients’ perception about this modality needs to be critically evaluated. Structured questionnaires using objective scales are the instruments of choice for measuring subjective aspects. However, there are no such questionnaires available in Portuguese. Our objective was, thus, translate and adapt into Portuguese a specific questionnaire evaluating the use of telepresence robots during post-operatory ward rounds. Methods: search on PubMed and selection of a set of validated questionnaires in English, translation into Portuguese according to the principles of good practice for the translation and cultural adaptation process for patient-reported outcomes measures. The original author approved the final version. Results: three questionnaires that assess ward rounds assisted by a telepresence robot were translated. Questionnaires are directed to the patient who receives the visit via telepresence or face-to-face visit and to the medical team accompanying the visit. The questionnaires use the Likert scale and contain thirteen questions that address 5 spheres: Communication; Dignity and Confidentiality; Contents; Time; General Impressions. Conclusions: this is the first instrument in Portuguese designed to assess the impression of patients and professionals involved in ward rounds using a telepresence robot. It has the potential to be used in clinical studies involving the use of this technology in care.
DOI: 10.6084/m9.figshare.21299244
title: INTERNATIONAL TRADE, WAGES, AND SKILL PREMIUMS IN BRAZILIAN MUNICIPALITIES FROM 2000 TO 2010

description: ABSTRACT This study aims to assess wage and skill premium responses to international trade in Brazil, determining different local specialization patterns with municipal data. We followed the theoretical model developed by Venables and Limão, who state that distance is a non-neutral variable in determining trade patterns. We used Chiquiar’s empirical model, which includes pooled regression with microdata and feasible generalized least squares in three steps. Selection bias and omitted variable biases were evaluated based on Redding and Schott and Oster. Results show that wage and skill premium responses to international trade are heterogeneous and depend on the geographic location. International trade seems to help reducing interregional inequalities in Brazil. However, it seems to intensify inter-skill wage inequalities in more distant zones, like Midwest and North Brazil. Thus, the reduction in income inequality due to a greater trade liberalization is not homogeneous in all regions of this developing country. Therefore, policies that geographically spread the benefits of international trade within Brazil would have to consider the occurrence of these regionally heterogeneous responses.
DOI: 10.6084/m9.figshare.21299244.v1
title: INTERNATIONAL TRADE, WAGES, AND SKILL PREMIUMS IN BRAZILIAN MUNICIPALITIES FROM 2000 TO 2010

description: ABSTRACT This study aims to assess wage and skill premium responses to international trade in Brazil, determining different local specialization patterns with municipal data. We followed the theoretical model developed by Venables and Limão, who state that distance is a non-neutral variable in determining trade patterns. We used Chiquiar’s empirical model, which includes pooled regression with microdata and feasible generalized least squares in three steps. Selection bias and omitted variable biases were evaluated based on Redding and Schott and Oster. Results show that wage and skill premium responses to international trade are heterogeneous and depend on the geographic location. International trade seems to help reducing interregional inequalities in Brazil. However, it seems to intensify inter-skill wage inequalities in more distant zones, like Midwest and North Brazil. Thus, the reduction in income inequality due to a greater trade liberalization is not homogeneous in all regions of this developing country. Therefore, policies that geographically spread the benefits of international trade within Brazil would have to consider the occurrence of these regionally heterogeneous responses.
DOI: 10.6084/m9.figshare.21299181
title: Study on the Influence of Population Urbanization on Agricultural Eco-Efficiency and on Agricultural Eco-Efficiency Remeasuring in China

description: Article datasets
DOI: 10.6084/m9.figshare.21299181.v1
title: Study on the Influence of Population Urbanization on Agricultural Eco-Efficiency and on Agricultural Eco-Efficiency Remeasuring in China

description: Article datasets
DOI: 10.34740/kaggle/dsv/4297353
title: Laptop Dataset
DOI: 10.6084/m9.figshare.21114781
title: Mathematica code from Epidemiological dynamics of bacteriocin competition and antibiotic resistance

description: Mathematica notebook containing the code to reproduce the results.
DOI: 10.6084/m9.figshare.21114781.v1
title: Mathematica code from Epidemiological dynamics of bacteriocin competition and antibiotic resistance

description: Mathematica notebook containing the code to reproduce the results.
DOI: 10.5517/ccdc.csd.cc2b73l9
title: CCDC 2151790: Experimental Crystal Structure Determination

description: Related Article: Qin Huang, Rui Zhang, Li-Hua He, Jing-Lin Chen, Feng Zhao, Sui-Jun Liu, He-Rui Wen|2022|Inorg.Chem.|61|15629|doi:10.1021/acs.inorgchem.2c02506
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.cc2b73mb
title: CCDC 2151791: Experimental Crystal Structure Determination

description: Related Article: Qin Huang, Rui Zhang, Li-Hua He, Jing-Lin Chen, Feng Zhao, Sui-Jun Liu, He-Rui Wen|2022|Inorg.Chem.|61|15629|doi:10.1021/acs.inorgchem.2c02506
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.cc2brkrf
title: CCDC 2167605: Experimental Crystal Structure Determination

description: Related Article: Samanta Yadav, Rajeev Gupta|2022|Inorg.Chem.|61|15463|doi:10.1021/acs.inorgchem.2c02058
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.cc2brksg
title: CCDC 2167606: Experimental Crystal Structure Determination

description: Related Article: Samanta Yadav, Rajeev Gupta|2022|Inorg.Chem.|61|15463|doi:10.1021/acs.inorgchem.2c02058
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.cc2brkth
title: CCDC 2167607: Experimental Crystal Structure Determination

description: Related Article: Samanta Yadav, Rajeev Gupta|2022|Inorg.Chem.|61|15463|doi:10.1021/acs.inorgchem.2c02058
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.cc2bt7br
title: CCDC 2169204: Experimental Crystal Structure Determination

description: Related Article: Dong-Dong Yang, Han-Wen Zheng, Bo Jin, Yong-Sheng Shi, Tong Xiao, Yu-Hui Fang, Qiong-Fang Liang, Xiang-Jun Zheng|2022|Cryst.Growth Des.|22|6224|doi:10.1021/acs.cgd.2c00778
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.cc2bt7cs
title: CCDC 2169205: Experimental Crystal Structure Determination

description: Related Article: Dong-Dong Yang, Han-Wen Zheng, Bo Jin, Yong-Sheng Shi, Tong Xiao, Yu-Hui Fang, Qiong-Fang Liang, Xiang-Jun Zheng|2022|Cryst.Growth Des.|22|6224|doi:10.1021/acs.cgd.2c00778
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.cc2bwhqg
title: CCDC 2171386: Experimental Crystal Structure Determination

description: Related Article: Guoqing Tian, Jin-Fa Chen, Kai Zhang, Yafei Shi, Chenglong Li, Xiaodong Yin, Kanglei Liu, Pangkuan Chen|2022|Inorg.Chem.|61|15315|doi:10.1021/acs.inorgchem.2c02875
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.cc2bwhpf
title: CCDC 2171385: Experimental Crystal Structure Determination

description: Related Article: Guoqing Tian, Jin-Fa Chen, Kai Zhang, Yafei Shi, Chenglong Li, Xiaodong Yin, Kanglei Liu, Pangkuan Chen|2022|Inorg.Chem.|61|15315|doi:10.1021/acs.inorgchem.2c02875
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.cc2bzb7x
title: CCDC 2174099: Experimental Crystal Structure Determination

description: Related Article: Barbara Leśniewska, Anthony W. Coleman, Kinga Suwińska|2022|Cryst.Growth Des.|22|5947|doi:10.1021/acs.cgd.2c00578
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.cc2bzb8y
title: CCDC 2174100: Experimental Crystal Structure Determination

description: Related Article: Barbara Leśniewska, Anthony W. Coleman, Kinga Suwińska|2022|Cryst.Growth Des.|22|5947|doi:10.1021/acs.cgd.2c00578
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.cc2bzb9z
title: CCDC 2174101: Experimental Crystal Structure Determination

description: Related Article: Barbara Leśniewska, Anthony W. Coleman, Kinga Suwińska|2022|Cryst.Growth Des.|22|5947|doi:10.1021/acs.cgd.2c00578
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.cc2bzbb0
title: CCDC 2174102: Experimental Crystal Structure Determination

description: Related Article: Barbara Leśniewska, Anthony W. Coleman, Kinga Suwińska|2022|Cryst.Growth Des.|22|5947|doi:10.1021/acs.cgd.2c00578
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.cc2c0yhv
title: CCDC 2175657: Experimental Crystal Structure Determination

description: Related Article: Irina S. Aliyarova, Elena Yu. Tupikina, Natalia S. Soldatova, Daniil M. Ivanov, Pavel S. Postnikov, Mekhman Yusubov, Vadim Yu. Kukushkin|2022|Inorg.Chem.|61|15398|doi:10.1021/acs.inorgchem.2c01858
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.cc2c0yjw
title: CCDC 2175658: Experimental Crystal Structure Determination

description: Related Article: Irina S. Aliyarova, Elena Yu. Tupikina, Natalia S. Soldatova, Daniil M. Ivanov, Pavel S. Postnikov, Mekhman Yusubov, Vadim Yu. Kukushkin|2022|Inorg.Chem.|61|15398|doi:10.1021/acs.inorgchem.2c01858
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.21162814
title: Additional file 1 of Elucidating the diversity of malignant mesenchymal states in glioblastoma by integrative analysis

description: Additional file 1: Table S1. MES signatures from published studies. Table S2. Cohorts details. Table S3. Functional MES signatures. Table S4. Top-scoring genes from PCA analysis.
DOI: 10.6084/m9.figshare.21162814.v1
title: Additional file 1 of Elucidating the diversity of malignant mesenchymal states in glioblastoma by integrative analysis

description: Additional file 1: Table S1. MES signatures from published studies. Table S2. Cohorts details. Table S3. Functional MES signatures. Table S4. Top-scoring genes from PCA analysis.
DOI: 10.6084/m9.figshare.21299340
title: Additional file 2 of Adaptation and validation of a coding algorithm for the Charlson Comorbidity Index in administrative claims data using the SNOMED CT standardized vocabulary

description: Additional file 2. Review history.
DOI: 10.6084/m9.figshare.21299340.v1
title: Additional file 2 of Adaptation and validation of a coding algorithm for the Charlson Comorbidity Index in administrative claims data using the SNOMED CT standardized vocabulary

description: Additional file 2. Review history.
DOI: 10.6084/m9.figshare.21299377
title: Additional file 1 of Whole-genome analysis of human papillomavirus 67 isolated from Japanese women with cervical lesions

description: Additional file 1. Multiple sequence alignment of available HPV67 whole genomes.
DOI: 10.6084/m9.figshare.21299377.v1
title: Additional file 1 of Whole-genome analysis of human papillomavirus 67 isolated from Japanese women with cervical lesions

description: Additional file 1. Multiple sequence alignment of available HPV67 whole genomes.
DOI: 10.6084/m9.figshare.21299373
title: Additional file 1 of Comparative transcriptomics analysis pipeline for the meta-analysis of phylogenetically divergent datasets (CoRMAP)

description: Additional file 1. Supplementary Table 1. A configuration table listing key parameters used in CoRMAP.
DOI: 10.6084/m9.figshare.21299373.v1
title: Additional file 1 of Comparative transcriptomics analysis pipeline for the meta-analysis of phylogenetically divergent datasets (CoRMAP)

description: Additional file 1. Supplementary Table 1. A configuration table listing key parameters used in CoRMAP.
DOI: 10.6084/m9.figshare.21299379
title: Additional file 3 of Comparative transcriptomics analysis pipeline for the meta-analysis of phylogenetically divergent datasets (CoRMAP)

description: Additional file 3. Trimmed Mean of M-values.
DOI: 10.6084/m9.figshare.21299379.v1
title: Additional file 3 of Comparative transcriptomics analysis pipeline for the meta-analysis of phylogenetically divergent datasets (CoRMAP)

description: Additional file 3. Trimmed Mean of M-values.
DOI: 10.6084/m9.figshare.21299382
title: Additional file 4 of Comparative transcriptomics analysis pipeline for the meta-analysis of phylogenetically divergent datasets (CoRMAP)

description: Additional file 4. Mapping approach, 179 common DEGs were found in MT and MC when data were normalized by TMM and filtered by no-adjusted p-value &lt; 0.05 cut-off.
DOI: 10.6084/m9.figshare.21299382.v1
title: Additional file 4 of Comparative transcriptomics analysis pipeline for the meta-analysis of phylogenetically divergent datasets (CoRMAP)

description: Additional file 4. Mapping approach, 179 common DEGs were found in MT and MC when data were normalized by TMM and filtered by no-adjusted p-value &lt; 0.05 cut-off.
DOI: 10.5281/zenodo.7161979
title: Dissolved methane in the Chukchi Sea during 2017-2020

description: Methane (CH<sub>4</sub>) is one of the important greenhouse gases. CH<sub>4</sub> dry mole fractions in the atmosphere have increased continuously since the onset of the industrial revolution, contributing to more than 20% of the anthropogenic radiative forcing in the lower atmosphere since 1750. In addition, the ice-covered parts of the Arctic are now known to be a reservoir of organic carbon, suggesting that the coastal areas in the Arctic may be a neglected but essential component of the global CH<sub>4</sub> budget. Seawater samples for CH<sub>4</sub> analysis were collected onboard R/V “Xuelong 1”, “Xuelong 2”, and “Xiangyanghong 3” during the 8-11th Chinese Arctic Research Expedition (CHINARE) to the Chukchi Sea during 2017-2020. 1. Equipment: Name gas chromatography Model: Agilent 7890A Method: purge-and-trap Calibration: CH<sub>4</sub>:N<sub>2</sub> mixtures, China Institute of Metrology 2 Sampling and analysis The samples were collected with a rosette water sampler equipped with Niskin bottles. Briefly, seawater was transferred to biochemical-oxygen-demand bottles (one for each depth), which were stored in the dark at 4 °C after adding 180 μL of saturated HgCl<sub>2</sub>. 3 Location The Chukchi Sea.
DOI: 10.5281/zenodo.7063260
title: Methane data collected in the 36th CHINARE cruise during 2019-2020

description: Methane (CH<sub>4</sub>) is one of the important greenhouse gases. CH<sub>4</sub> dry mole fractions in the atmosphere have increased continuously since the onset of the industrial revolution, contributing to more than 20% of the anthropogenic radiative forcing in the lower atmosphere since 1750. In addition, the ice-covered parts of the Antarctic are now a reservoir of organic carbon, suggesting that the Antarctic ice sheet may be a neglected but essential component of the global CH<sub>4</sub> budget. Seawater samples for CH<sub>4</sub> analysis were collected onboard R/V “Xuelong 2” during the 36th Chinese Antarctic Research Expedition (CHINARE) to the Ross Sea from 3–6 January 2020. 1. Equipment: Name gas chromatography Model: Agilent 7890A Method: purge-and-trap Calibration: CH<sub>4</sub>:N<sub>2</sub> mixtures, China Institute of Metrology 2 Sampling and analysis The samples were collected with a rosette water sampler equipped with Niskin bottles. Briefly, seawater was transferred to biochemical-oxygen-demand bottles (one for each depth), which were stored in the dark at 4 °C with after adding 180 μL of saturated HgCl<sub>2</sub>. 3 Location Ross Sea.
DOI: 10.5067/9etb4tt5j6us
title: MERRA-2 tavg3_2d_glc_Nx: 2d,3-Hourly,Time-Averaged,Single-Level,Assimilation,Land Ice Surface Diagnostics V5.12.4
DOI: 10.5281/zenodo.3548752
title: The Archaeological Ceramics from Mahurjhari: the Fabric Groups

description: A descriptive and illustrated list of the fabric groups identified and defined during the analysis of archaeological ceramics in the excavated assmeblage from the site at Mahurjhari, excavated by the Deccan College, Pune 2000-2003.
DOI: 10.5281/zenodo.3548883
title: Archaeological Ceramics from Mahurjhari: the Vessel Forms

description: A descriptive and illustrated list of the vessel forms identified and defined during the analysis of archaeological ceramics in the excavated assemblage from the site at Mahurjhari, excavated by the Deccan College, Pune 2000-2003.
DOI: 10.5281/zenodo.3548898
title: The Archaeological Ceramics from Mahurjhari: Pottery Classes by Stratigraphic Layers

description: This spreadsheet contains the quantities of each pottery class in each stratigraphic layer of each excavated trench at Mahurjhari, India. The data is arranged according to the excavated trenches. For each trench, the number of sherds and the MNI count are presented.