cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.35078/brjw2d
title: Replication Data for: Ficha epidemiológica de localidade: Distrito: Caratinga| Município: Mariana

description: Levantamento Triatomínico com operações de campo ocorridas em Minas Gerais pela Superintendência de Campanhas de Saúde Pública (SUCAM) e FUNASA (Fundação Nacional de Saúde), no período de 1979 a 1999, objetivando a busca da presença de vetores da doença de Chagas ou de vestígios dessa presença. A partir dela são orientadas as operações com inseticida (pt) Triatomine survey with field operations carried out in Minas Gerais by the Public Health Campaigns Superintendence (SUCAM) and FUNASA (National Health Foundation), from 1979 to 1999, aiming to search for the presence of Chagas disease vectors or traces of that presence. From it, operations with insecticide are guided (en) Encuesta de triatominos con operaciones de campo realizada en Minas Gerais por la Superintendencia de Campañas de Salud Pública (SUCAM) y FUNASA (Fundación Nacional de Salud), de 1979 a 1999, con el objetivo de buscar la presencia de vectores de la enfermedad de Chagas o rastros de esa presencia. Desde ella se orientan las operaciones con insecticida (es)
DOI: 10.48425/1arc3zhb
title: Protocol_soil_moisture_and_temperature_loggers_varanger

description: Protocol for soil moisture, air temperature and soil temperature measurements using TOMST-loggers on the Varanger peninsula. Version 2 of the protocol is used from 2022 onwards. One snowbed in Komagdalen has been removed from the study design.
DOI: 10.6084/m9.figshare.22810439
title: Experimental dataset for the influence of sediment feeding timing on bedload transport and surface texture during hydrograph in graver bed rivers

description: The experiments were conducted in the Mountain Channel Hydraulic Experimental Laboratory at the University of British Columbia. The tilting flume is 18 m long, 1 m wide, and 1 m deep, with an adjustable slope. The experimental data of each run include water depth, water surface slope, shear stress, bedload transport rate and their standard deviation (5min), the median size of bedload and their standard deviation (5min), and the median size of the bed surface.
DOI: 10.5281/zenodo.7688945
title: InSAR Time Series Analysis (2018-2021) for Volcanic Monitoring in Northern Chile

description: This dataset is for the paper "First onset of unrest captured at Socompa: A Recent Geodetic Survey at Central Andean volcanoes in Northern Chile" which is published in GRL: https://doi.org/10.1029/2022GL102480. <strong>InSAR Data:</strong> The folder of InSAR_149A.rar stores the InSAR time series analysis dataset on ascending track 149. The 'Imagedate' folder stores the empty *.rslc files to indicate the date of each SLCs. Data_Asc.mat stores the main InSAR time series data, which includes the UTC time of the acquisition (for accurate time calculation), the length of perpendicular baselines (unit is meter), the number of days counting from the first epoch, the unwrapped time series data (ifg), the unwrapped time series data with GACOS correction (ifg_aps), the look angles (la, unit is rad), and lat&lon. parms.mat stores the parameters used during the data processing by StaMPS. semi_fit.mat stores the results of the semi-variogram fitting of each interferogram on time series. It provides two versions for the original dataset (semi) and the GACOS-corrected dataset (semi_aps). This file is mainly used to weight the data during the time series fitting. runTSA.m, the main function to run the InSAR time series fitting. See more details in the Code part. The folder of InSAR_156D.rar stores the same content as the InSAR_149A.rar but for descending track 156. <strong>Code:</strong> This folder contains the codes of the InSAR time series fitting for this dataset, and the GBIS software. TSA_findref.m, this function is used to search the reference point of the InSAR data. TSA_EQ_fit.m, is the main function to perform InSAR time series fitting. rb_pixel_fit.m, is the robust way to fit the linear model. TSA_EQ_pixel.m, is the function used to plot the results. To perform the InSAR time series fitting, you need to put these four functions under your Matlab path, and then run the runTSA.m function in the data folder. The GBIS folder stores the updated version of the GBIS software, which allows you to perform the pCDM, CDM, and pECM. The core functions of these models are provided by Dr. Mehdi Nikkhoo, and you could find them here: https://www.volcanodeformation.com/software <strong>GBIS_Modelling_Results:</strong> This folder stores the data of InSAR and GPS joint inversion for Socompa Uplift. The folder Socompa stores the modelling results using the models of Okada(D), pECM(E), Mogi(M), pCDM(N), and Yang(Y), respectively. GPS_data.txt stores the cumulative displacements and the uncertainties of the SOCM station in three directions. Socompa.inp is the configuration file for GBIS running. Vol_asc.mat and Vol_asc_ds.mat stores the original and the downsampled ascending data, while Vol_dsc.mat and Vol_dsc_ds.mat store those of descending. Many thanks for using our dataset and please let me know if you have any further questions!
DOI: 10.5281/zenodo.7416236
title: InSAR Time Series Analysis (2018-2021) for Volcanic Monitoring in Northern Chile

description: This dataset is for the paper "First onset of unrest captured at Socompa: A Recent Geodetic Survey at Central Andean volcanoes in Northern Chile" which is published in GRL: https://doi.org/10.1029/2022GL102480. <strong>InSAR Data:</strong> The folder of InSAR_149A.rar stores the InSAR time series analysis dataset on ascending track 149. The 'Imagedate' folder stores the empty *.rslc files to indicate the date of each SLCs. Data_Asc.mat stores the main InSAR time series data, which includes the UTC time of the acquisition (for accurate time calculation), the length of perpendicular baselines (unit is meter), the number of days counting from the first epoch, the unwrapped time series data (ifg), the unwrapped time series data with GACOS correction (ifg_aps), the look angles (la, unit is rad), and lat&lon. parms.mat stores the parameters used during the data processing by StaMPS. semi_fit.mat stores the results of the semi-variogram fitting of each interferogram on time series. It provides two versions for the original dataset (semi) and the GACOS-corrected dataset (semi_aps). This file is mainly used to weight the data during the time series fitting. runTSA.m, the main function to run the InSAR time series fitting. See more details in the Code part. The folder of InSAR_156D.rar stores the same content as the InSAR_149A.rar but for descending track 156. <strong>Code:</strong> This folder contains the codes of the InSAR time series fitting for this dataset, and the GBIS software. TSA_findref.m, this function is used to search the reference point of the InSAR data. TSA_EQ_fit.m, is the main function to perform InSAR time series fitting. rb_pixel_fit.m, is the robust way to fit the linear model. TSA_EQ_pixel.m, is the function used to plot the results. To perform the InSAR time series fitting, you need to put these four functions under your Matlab path, and then run the runTSA.m function in the data folder. The GBIS folder stores the updated version of the GBIS software, which allows you to perform the pCDM, CDM, and pECM. The core functions of these models are provided by Dr. Mehdi Nikkhoo, and you could find them here: https://www.volcanodeformation.com/software <strong>GBIS_Modelling_Results:</strong> This folder stores the data of InSAR and GPS joint inversion for Socompa Uplift. The folder Socompa stores the modelling results using the models of Okada(D), pECM(E), Mogi(M), pCDM(N), and Yang(Y), respectively. GPS_data.txt stores the cumulative displacements and the uncertainties of the SOCM station in three directions. Socompa.inp is the configuration file for GBIS running. Vol_asc.mat and Vol_asc_ds.mat stores the original and the downsampled ascending data, while Vol_dsc.mat and Vol_dsc_ds.mat store those of descending. Many thanks for using our dataset and please let me know if you have any further questions!
DOI: 10.6084/m9.figshare.22309894.v1
title: Supplementary Material for: The global incidence rate of pemphigus vulgaris: a systematic review and meta-analysis

description: Background: Pemphigus vulgaris is a life-threatening autoimmune bullous disease characterized by flaccid blister formation. As there has been no macroscopic assessment of epidemiological characteristics, its disease burden in the general population remains unknown. Objectives: To assess the global incidence rate of pemphigus vulgaris in the general population. Methods: The search was conducted in databases including Medline, Embase, Web of Science, and The Cochrane Library from inception to May 1st, 2022. We included original studies that either reported incidence of pemphigus vulgaris or provided raw data for calculating. Studies based on a specific population instead of the general population were excluded. Individual studies were summarized using random-effects mode. The pooled incidence rate of pemphigus vulgaris among the general population and subgroups were obtained. Heterogeneity (I2 statistic) was assessed with the χ2 test on Cochrane’s Q statistic. Results: 29 studies were eligible for final analysis and the pooled incidence rate of pemphigus vulgaris was 2.83 per million person-years (95%CI, 2.14-3.61). The incidence rate was similar between men and women and remained stable in the past half-century. Southern Asia showed the highest rate among subcontinents that had more than one study conducted as 4.94 per million person-years (95%CI, 2.55-8.10). Economic levels do not seem to have any bearing on incidence. Conclusions: Despite the substantial heterogeneity among studies, this meta-analysis revealed the worldwide incidence rate of pemphigus vulgaris for the first time and may assist in assessing global disease burden and promoting health policy.
DOI: 10.35078/jyqazn
title: Replication Data for: Ficha epidemiológica de localidade: Distrito: Uberaba | Município: Douradoquara

description: Levantamento Triatomínico com operações de campo ocorridas em Minas Gerais pela Superintendência de Campanhas de Saúde Pública (SUCAM) e FUNASA (Fundação Nacional de Saúde), no período de 1979 a 1999, objetivando a busca da presença de vetores da doença de Chagas ou de vestígios dessa presença. A partir dela são orientadas as operações com inseticida (pt) Triatomine survey with field operations carried out in Minas Gerais by the Public Health Campaigns Superintendence (SUCAM) and FUNASA (National Health Foundation), from 1979 to 1999, aiming to search for the presence of Chagas disease vectors or traces of that presence. From it, operations with insecticide are guided (en) Encuesta de triatominos con operaciones de campo realizada en Minas Gerais por la Superintendencia de Campañas de Salud Pública (SUCAM) y FUNASA (Fundación Nacional de Salud), de 1979 a 1999, con el objetivo de buscar la presencia de vectores de la enfermedad de Chagas o rastros de esa presencia. Desde ella se orientan las operaciones con insecticida (es)
DOI: 10.34740/kaggle/dsv/5670238
title: COVID Vaccination in World (updated daily)
DOI: 10.5281/zenodo.7930058
title: Rebar-Free 3D Printing of Transportation Infrastructure

description: This study investigates the fresh and hardened-state properties of printing mixtures including different dosages of steel fibers, especially at higher dosages which have not been investigated before. This study also considers the effects of other parameters such as sand-to-powder ratio and the limestone content on the properties of steel fiber reinforced printing materials, to reduce the Portland cement content which has a high carbon footprint. The obtained experimental results revealed that high-performance materials incorporating up to 2.5% steel fibers (by volume) can be successfully 3D printed. The mechanical properties of the reinforced mixtures improved significantly at high fiber dosages (2% and 2.5% vol.). By incorporating 2% and 2.5% vol. of steel fibers, the compressive strength results showed up to 109% and 50% increase in strength compared to the control mixture, at 7 days and 28 days, respectively. In addition, significant improvement in the flexural strength, tensile strength and toughness of printing materials were achieved at high dosages of steel fiber inclusion. The obtained results also reveal that the orientation and alignment degree of steel fibers in the composite is affected by different parameters such as the binder content and nozzle design. In addition, an electromechanical module was successfully designed, developed, and implemented with an existing printing system to enable a semi-automated screw insertion process in parallel with the layer deposition process. This highlights the feasibility of a fully automated layer deposition and reinforcement process for future real-life construction projects.
description: Tran-SET Project: 21CLSU01
DOI: 10.5281/zenodo.7930057
title: Rebar-Free 3D Printing of Transportation Infrastructure

description: This study investigates the fresh and hardened-state properties of printing mixtures including different dosages of steel fibers, especially at higher dosages which have not been investigated before. This study also considers the effects of other parameters such as sand-to-powder ratio and the limestone content on the properties of steel fiber reinforced printing materials, to reduce the Portland cement content which has a high carbon footprint. The obtained experimental results revealed that high-performance materials incorporating up to 2.5% steel fibers (by volume) can be successfully 3D printed. The mechanical properties of the reinforced mixtures improved significantly at high fiber dosages (2% and 2.5% vol.). By incorporating 2% and 2.5% vol. of steel fibers, the compressive strength results showed up to 109% and 50% increase in strength compared to the control mixture, at 7 days and 28 days, respectively. In addition, significant improvement in the flexural strength, tensile strength and toughness of printing materials were achieved at high dosages of steel fiber inclusion. The obtained results also reveal that the orientation and alignment degree of steel fibers in the composite is affected by different parameters such as the binder content and nozzle design. In addition, an electromechanical module was successfully designed, developed, and implemented with an existing printing system to enable a semi-automated screw insertion process in parallel with the layer deposition process. This highlights the feasibility of a fully automated layer deposition and reinforcement process for future real-life construction projects.
description: Tran-SET Project: 21CLSU01
DOI: 10.6084/m9.figshare.22340392.v1
title: Supplementary Material for: Depression Risk in Post-stroke Aphasia Patients: A Nationwide Population-Based Cohort Study

description: Introduction: Depression and aphasia impair the quality of life after a stroke. Studies linking depression risk to post-stroke aphasia (PSA) lacked confirmation using a large database. Methods: Using Taiwan's National Health Insurance claims data, we identified ≥18 years old patients hospitalized for stroke from 2005 to 2009, and those diagnosed with aphasia during hospitalization or within three months after discharge were selected to form the aphasic group. We estimated depression incidence by December 31, 2018, and used the Cox proportional hazards model to estimate aphasia group to non-aphasia group hazard ratios (HRs). Results: With a median follow-up period of 7.91 and 8.62 years for aphasia (n=26,754) and non-aphasia groups (n=139,102), respectively, the incidence of depression was higher in the aphasia group than in the non-aphasia group (9.02 vs.8.13 per 1000 person-years), with an adjusted HR (95% confidence intervals, CI) of 1.21 (1.15-1.29) for depression. The adjusted HRs [95% CI] of depression were homogenous for females, 1.26 [1.15-1.37] and for males, 1.18 [1.09-1.27] and for hemorrhagic stroke, 1.22 [1.09-1.37] and ischemic stroke, 1.21 [1.13-1.30]. Results in analyzing 25939 propensity score matched pairs demonstrated an equivalent effect. Conclusion: Patients with PSA are at an increased risk of developing depression regardless of sex or stroke type.
DOI: 10.5517/ccdc.csd.cc21m3h9
title: CCDC 1895200: Experimental Crystal Structure Determination

description: Related Article: Emrah Ozcan, Mehmet F. Saglam, Hasan Huseyin Kazan, Ismail Erol, Ibrahim F. Sengul, Bünyemin Cosut|2023|Tetrahedron|137|133367|doi:10.1016/j.tet.2023.133367
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.cc21m3jb
title: CCDC 1895201: Experimental Crystal Structure Determination

description: Related Article: Emrah Ozcan, Mehmet F. Saglam, Hasan Huseyin Kazan, Ismail Erol, Ibrahim F. Sengul, Bünyemin Cosut|2023|Tetrahedron|137|133367|doi:10.1016/j.tet.2023.133367
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.cc2dfqxh
title: CCDC 2217737: Experimental Crystal Structure Determination

description: Related Article: Alexander E. Varakutin, Ilia Yu Shinkarev, Egor A. Muravsky, Darina I. Nasyrova, Aida I. Samigullina, Marina N. Semenova, Victor V. Semenov|2023|Tetrahedron|137|133365|doi:10.1016/j.tet.2023.133365
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.cc2dfqyj
title: CCDC 2217738: Experimental Crystal Structure Determination

description: Related Article: Alexander E. Varakutin, Ilia Yu Shinkarev, Egor A. Muravsky, Darina I. Nasyrova, Aida I. Samigullina, Marina N. Semenova, Victor V. Semenov|2023|Tetrahedron|137|133365|doi:10.1016/j.tet.2023.133365
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.cc2dfqzk
title: CCDC 2217739: Experimental Crystal Structure Determination

description: Related Article: Alexander E. Varakutin, Ilia Yu Shinkarev, Egor A. Muravsky, Darina I. Nasyrova, Aida I. Samigullina, Marina N. Semenova, Victor V. Semenov|2023|Tetrahedron|137|133365|doi:10.1016/j.tet.2023.133365
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.cc2dxj73
title: CCDC 2231945: Experimental Crystal Structure Determination

description: Related Article: Wei Fan|2023|Tetrahedron|137|133378|doi:10.1016/j.tet.2023.133378
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.cc2dxj84
title: CCDC 2231946: Experimental Crystal Structure Determination

description: Related Article: Wei Fan|2023|Tetrahedron|137|133378|doi:10.1016/j.tet.2023.133378
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.cc2dxj95
title: CCDC 2231947: Experimental Crystal Structure Determination

description: Related Article: Wei Fan|2023|Tetrahedron|137|133378|doi:10.1016/j.tet.2023.133378
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.cc2f9kht
title: CCDC 2243516: Experimental Crystal Structure Determination

description: Related Article: Di Lu, Xiang-Chao Luo, Jie Liu, Gao-Ling Wu, Yong Yu, Yong-Nan Xu, Hou-Wen Lin, Fan Yang|2023|Tetrahedron|137|133382|doi:10.1016/j.tet.2023.133382
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: 10.17031/645e3c4c04838
title: CPR Phytoplankton Colour Samples

description: Excel file containing CPR data for all areas, 1979 to 2020, sample level data (each sample being 1 row, equating to approx. 10 nautical miles of tow, 3m3 of filtered seawater), for Phytoplankton Colour Index (according to standard CPR methodology, see Richardson et al. 2006, Prog in Oceanog 68. 27-74). The excel file consists of samples in rows, with the following information in columns - A: sample id B:midpoint of sample latitude in decimal degrees C:midpoint of sample longitude in decimal degrees D:midpoint of sample local date and time E:sample year F: sample month G: Phytoplankton Colour Index
DOI: 10.6084/m9.figshare.21984986
title: DeID PONE burn timing dataset

description: De-identified dataset for PlosOne burn timing manuscript
DOI: 10.6084/m9.figshare.21984986.v1
title: DeID PONE burn timing dataset

description: De-identified dataset for PlosOne burn timing manuscript
DOI: 10.6084/m9.figshare.22811912
title: original data (2).xlsx

description: original data
DOI: 10.6084/m9.figshare.22811912.v1
title: original data (2).xlsx

description: original data
DOI: 10.6084/m9.figshare.22811924
title: Search terms for PubMed, EMBASE, Cochrane CENTRAL, CINAHL and SPORTSDiscus

description: Search terms for hormone, immune and oxidative stress responses in PubMed, Cochrane CENTRAL, CINAHL and SPORTSDiscus
DOI: 10.6084/m9.figshare.22811924.v1
title: Search terms for PubMed, EMBASE, Cochrane CENTRAL, CINAHL and SPORTSDiscus

description: Search terms for hormone, immune and oxidative stress responses in PubMed, Cochrane CENTRAL, CINAHL and SPORTSDiscus