cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20290847.v1
title: Abnormal Circadian Blood Pressure Variation is Associated with SYNTAX Scores in Hospitalized Patients with Acute Coronary Syndrome

description: Abstract Background Blunted nocturnal blood pressure (BP) reduction, referred to as non-dipper hypertension, is a strong predictor of cardiovascular morbidity and mortality. Objectives This study aimed to investigate the relationship between non-dipper hypertension and the severity and complexity of coronary artery disease using SYNTAX score in hospitalized patients with acute coronary syndrome. Methods A total of 306 consecutive patients with acute coronary syndrome were screened. Patients who were clinically stable and admitted to the intermediate intensive care unit at least 24 hours after angiography and/or successful revascularization. After the exclusion criteria, 141 patients (34 female and 107 male; mean age 61 ± 11 years) were included. Non-dipper hypertension has been defined as a 0% to 10% decrease in average systolic BP at nighttime compared to daytime, measured at hourly intervals using the same automatic BP measuring device on bedside monitors (Vismo PVM-2701; Nihon Kohden Corp., Tokyo, Japan). SYNTAX score was calculated with an online calculator. The independent predictors of SYNTAX score were assessed using multivariable logistic regression analysis. P &lt; 0.05 was considered statistically significant. Results The patients with non-dipper hypertension had higher SYNTAX score than the patients with dipper hypertension (11.12 ± 6.41 versus 6.74 ± 6.45, p &lt; 0.0001). In a multivariable logistic regression model, non-dipper hypertension status (odds ratio: 5.159; 95% confidence interval: 2.246 to 11.852, p &lt; 0.001), sex (p = 0.012) and low-density lipoprotein cholesterol (p = 0.008) emerged as independent predictors of high SYNTAX score. Conclusions The results of our study provide a possible additional mechanism linking abnormal circadian BP profile with coronary artery disease severity and complexity in patients with acute coronary syndrome.
DOI: 10.6084/m9.figshare.20260761
title: alphapeptdeep_notebooks_and_data.zip

description: The Python notebooks and data used in the AlphaPeptDeep paper.
DOI: 10.15129/3847c7ff-f2f7-473b-8036-bcc4b261c7b8
title: Data for: "A grating-chip atomic fountain"

description: Supporting data for the article "A grating-chip atomic fountain". Data records a) the detected atom number during atom launches with different parameters b) the clock signals (Ramsey fringes) recorded when using different launches are employed. All files are in CSV format.
DOI: 10.5281/zenodo.6821140
title: Data from "Cooperative Management of Ecosystem Services: Coalition Formation, Landscape Structure and Policies"

description: Simulated data generated to perform the simulations of the paper "Bareille, F., Zavalloni, M., Raggi, M., & Viaggi, D. (2021). Cooperative management of ecosystem services: coalition formation, landscape structure and policies. Environmental and Resource Economics, 79(2), 323-356."
DOI: 10.5281/zenodo.6821139
title: Data from "Cooperative Management of Ecosystem Services: Coalition Formation, Landscape Structure and Policies"

description: Simulated data generated to perform the simulations of the paper "Bareille, F., Zavalloni, M., Raggi, M., & Viaggi, D. (2021). Cooperative management of ecosystem services: coalition formation, landscape structure and policies. Environmental and Resource Economics, 79(2), 323-356."
DOI: 10.5258/soton/d2090
title: Dataset For 'Pico- and Nanophotonics of Reconfigurable Metamaterials'

description: This dataset supports the thesis entitled 'Pico- and Nanophotonics of Reconfigurable Metamaterials' and it contains two files: a ReadMe file describing the details of data and a zip file including the raw data.
DOI: 10.34740/kaggle/dsv/3932876
title: WallStreetBets 2022
DOI: 10.5517/ccdc.csd.cc2934yj
title: CCDC 2118197: Experimental Crystal Structure Determination

description: Related Article: XW D|2021|CSD Communication|||
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.cc299w8s
title: CCDC 2124655: Experimental Crystal Structure Determination

description: Related Article: XW C|2021|CSD Communication|||
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.cc21wv2w
title: CCDC 1903588: Experimental Crystal Structure Determination

description: Related Article: Kaikai Xu|2022|CSD Communication|||
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: 10.15129/32604fa3-ed09-4b5a-b735-9321ddaa8ef9
title: Data for: "An Artificial Neural Network Algorithm to Retrieve Chlorophyll a for Northwest European Shelf Seas from Top of Atmosphere Ocean Colour Reflectance."

description: This datasets contains Matlab scripts, figures and original data required to reproduce the figures and apply the algorithm developed in the paper. The readme.txt provides more details about the different files.
DOI: 10.6084/m9.figshare.20290929
title: Aspergillus oryzae attenuates quorum sensing -associated virulence factors and biofilm formation in Klebsiella pneumoniae extended-spectrum beta-lactamases raw data

description: This is the raw data of minimal inhibitory concentration (MIC) through the microdilution method, biofilms with crystal violet staining, extracellular polysaccharides using the Congo Red assay, the gene coding for capsular polysaccharide (<em>wzI </em>gene) and adhesion (<em>mrkA</em> gene) through quantitative reverse-transcription polymerase chain reaction (qRT-PCR), and confirmation the life span killing assay method of <em>Caenorhabditis elegans</em> (<em>C. elegans</em>).
DOI: 10.6084/m9.figshare.19227067
title: Additional file 1 of Healthcare resource utilization, total costs, and comorbidities among patients with myotonic dystrophy using U.S. insurance claims data from 2012 to 2019

description: Additional file 1. Additional information including post-match demographic data, most impactful comorbidities, total HCRU, and total all-cause cost data for DM and cDM groups and controls for all study periods is provided in Supplementary Tables S1-S5 (in excel format). Table S1. Baseline Demographic Characteristics (post-match). Table S2. DM Cohort Most Impactful Comorbidities. Table S3. cDM Cohort Most Impactful Comorbidities. Table S4. Total HCRU & All-cause Costs for DM Cohort over 12-, 13-23, 24-35, 36-47 & 48+ Month Follow-Up Periods. Table S5. Total HCRU & All-cause Costs for cDM Cohort over 12-, 13-23, 24-35, 36-47 & 48+ Month Follow-Up Periods.
DOI: 10.6084/m9.figshare.19227067.v2
title: Additional file 1 of Healthcare resource utilization, total costs, and comorbidities among patients with myotonic dystrophy using U.S. insurance claims data from 2012 to 2019

description: Additional file 1. Additional information including post-match demographic data, most impactful comorbidities, total HCRU, and total all-cause cost data for DM and cDM groups and controls for all study periods is provided in Supplementary Tables S1-S5 (in excel format). Table S1. Baseline Demographic Characteristics (post-match). Table S2. DM Cohort Most Impactful Comorbidities. Table S3. cDM Cohort Most Impactful Comorbidities. Table S4. Total HCRU & All-cause Costs for DM Cohort over 12-, 13-23, 24-35, 36-47 & 48+ Month Follow-Up Periods. Table S5. Total HCRU & All-cause Costs for cDM Cohort over 12-, 13-23, 24-35, 36-47 & 48+ Month Follow-Up Periods.
DOI: 10.6084/m9.figshare.19227067.v1
title: Additional file 1 of Healthcare resource utilization, total costs, and comorbidities among patients with myotonic dystrophy using U.S. insurance claims data from 2012 to 2019

description: Additional file 1. Additional information including post-match demographic data, most impactful comorbidities, total HCRU, and total all-cause cost data for DM and cDM groups and controls for all study periods is provided in Supplementary Tables S1-S5 (in excel format). Table S1. Baseline Demographic Characteristics (post-match). Table S2. DM Cohort Most Impactful Comorbidities. Table S3. cDM Cohort Most Impactful Comorbidities. Table S4. Total HCRU & All-cause Costs for DM Cohort over 12-, 13-23, 24-35, 36-47 & 48+ Month Follow-Up Periods. Table S5. Total HCRU & All-cause Costs for cDM Cohort over 12-, 13-23, 24-35, 36-47 & 48+ Month Follow-Up Periods.
DOI: 10.6084/m9.figshare.20291057
title: Additional file 10 of A hybrid metaheuristic-deep learning technique for the pan-classification of cancer based on DNA methylation

description: Additional file 10: Metadata file containing ID(s) and information about the 450k methylation platform thyroid cancer samples, created APRIL 2022.
DOI: 10.6084/m9.figshare.20291057.v1
title: Additional file 10 of A hybrid metaheuristic-deep learning technique for the pan-classification of cancer based on DNA methylation

description: Additional file 10: Metadata file containing ID(s) and information about the 450k methylation platform thyroid cancer samples, created APRIL 2022.
DOI: 10.6084/m9.figshare.20291060
title: Additional file 1 of A hybrid metaheuristic-deep learning technique for the pan-classification of cancer based on DNA methylation

description: Additional file 1: Metadata file containing ID(s) and information about the 27k methylation platform breast cancer samples, created JAN 2019.
DOI: 10.6084/m9.figshare.20291063
title: Additional file 2 of A hybrid metaheuristic-deep learning technique for the pan-classification of cancer based on DNA methylation

description: Additional file 2: Metadata file containing ID(s) and information about the 27k methylation platform ovary cancer samples, created JAN 2019.
DOI: 10.6084/m9.figshare.20291060.v1
title: Additional file 1 of A hybrid metaheuristic-deep learning technique for the pan-classification of cancer based on DNA methylation

description: Additional file 1: Metadata file containing ID(s) and information about the 27k methylation platform breast cancer samples, created JAN 2019.
DOI: 10.6084/m9.figshare.20291063.v1
title: Additional file 2 of A hybrid metaheuristic-deep learning technique for the pan-classification of cancer based on DNA methylation

description: Additional file 2: Metadata file containing ID(s) and information about the 27k methylation platform ovary cancer samples, created JAN 2019.
DOI: 10.6084/m9.figshare.20291069
title: Additional file 4 of A hybrid metaheuristic-deep learning technique for the pan-classification of cancer based on DNA methylation

description: Additional file 4: Metadata file containing ID(s) and information about the 450k methylation platform breast cancer samples, created APRIL 2022.
DOI: 10.6084/m9.figshare.20291066
title: Additional file 3 of A hybrid metaheuristic-deep learning technique for the pan-classification of cancer based on DNA methylation

description: Additional file 3: Metadata file containing ID(s) and information about the 27k methylation platform stomach cancer samples, created JAN 2019.
DOI: 10.6084/m9.figshare.20291072
title: Additional file 5 of A hybrid metaheuristic-deep learning technique for the pan-classification of cancer based on DNA methylation

description: Additional file 5: Metadata file containing ID(s) and information about the 450k methylation platform colon cancer samples, created APRIL 2022.
DOI: 10.6084/m9.figshare.20291066.v1
title: Additional file 3 of A hybrid metaheuristic-deep learning technique for the pan-classification of cancer based on DNA methylation

description: Additional file 3: Metadata file containing ID(s) and information about the 27k methylation platform stomach cancer samples, created JAN 2019.
DOI: 10.6084/m9.figshare.20291069.v1
title: Additional file 4 of A hybrid metaheuristic-deep learning technique for the pan-classification of cancer based on DNA methylation

description: Additional file 4: Metadata file containing ID(s) and information about the 450k methylation platform breast cancer samples, created APRIL 2022.
DOI: 10.6084/m9.figshare.20291072.v1
title: Additional file 5 of A hybrid metaheuristic-deep learning technique for the pan-classification of cancer based on DNA methylation

description: Additional file 5: Metadata file containing ID(s) and information about the 450k methylation platform colon cancer samples, created APRIL 2022.
DOI: 10.6084/m9.figshare.20291075
title: Additional file 6 of A hybrid metaheuristic-deep learning technique for the pan-classification of cancer based on DNA methylation

description: Additional file 6: Metadata file containing ID(s) and information about the 450k methylation platform kidney cancer samples, created APRIL 2022.
DOI: 10.6084/m9.figshare.20291075.v1
title: Additional file 6 of A hybrid metaheuristic-deep learning technique for the pan-classification of cancer based on DNA methylation

description: Additional file 6: Metadata file containing ID(s) and information about the 450k methylation platform kidney cancer samples, created APRIL 2022.
DOI: 10.6084/m9.figshare.20291078
title: Additional file 7 of A hybrid metaheuristic-deep learning technique for the pan-classification of cancer based on DNA methylation

description: Additional file 7: Metadata file containing ID(s) and information about the 450k methylation platform liver cancer samples, created APRIL 2022.
DOI: 10.6084/m9.figshare.20291078.v1
title: Additional file 7 of A hybrid metaheuristic-deep learning technique for the pan-classification of cancer based on DNA methylation

description: Additional file 7: Metadata file containing ID(s) and information about the 450k methylation platform liver cancer samples, created APRIL 2022.
DOI: 10.6084/m9.figshare.20291081
title: Additional file 8 of A hybrid metaheuristic-deep learning technique for the pan-classification of cancer based on DNA methylation

description: Additional file 8: Metadata file containing ID(s) and information about the 450k methylation platform lung cancer samples, created APRIL 2022.
DOI: 10.6084/m9.figshare.20291081.v1
title: Additional file 8 of A hybrid metaheuristic-deep learning technique for the pan-classification of cancer based on DNA methylation

description: Additional file 8: Metadata file containing ID(s) and information about the 450k methylation platform lung cancer samples, created APRIL 2022.
DOI: 10.6084/m9.figshare.20291084
title: Additional file 9 of A hybrid metaheuristic-deep learning technique for the pan-classification of cancer based on DNA methylation

description: Additional file 9: Metadata file containing ID(s) and information about the 450k methylation platform prostate cancer samples, created APRIL 2022.
DOI: 10.6084/m9.figshare.20291084.v1
title: Additional file 9 of A hybrid metaheuristic-deep learning technique for the pan-classification of cancer based on DNA methylation

description: Additional file 9: Metadata file containing ID(s) and information about the 450k methylation platform prostate cancer samples, created APRIL 2022.
DOI: 10.6084/m9.figshare.20291091
title: Additional file 3 of Pyrokinin receptor silencing in females of the southern cattle tick Rhipicephalus (Boophilus) microplus is associated with a reproductive fitness cost

description: Additional file 3: Figure S3. Pictures of ticks showing the feeding progression from day 3 to 15 for all treatments.
DOI: 10.6084/m9.figshare.20291091.v1
title: Additional file 3 of Pyrokinin receptor silencing in females of the southern cattle tick Rhipicephalus (Boophilus) microplus is associated with a reproductive fitness cost

description: Additional file 3: Figure S3. Pictures of ticks showing the feeding progression from day 3 to 15 for all treatments.
DOI: 10.6084/m9.figshare.20291100.v1
title: Additional file 6 of Pyrokinin receptor silencing in females of the southern cattle tick Rhipicephalus (Boophilus) microplus is associated with a reproductive fitness cost

description: Additional file 6: Table S1. Analyses of the stability of reference genes using BestKeeper, Normfinder, Genorm and the comparative Delta-Ct method software tools, performed on randomly selected samples from the present work. Sheet 1 shows the comprehensive analysis of gene stability (which simultaneously assesses the results of each method) that determined that Rhimi-RPS4 and Rhimi-EF1A were the most stable genes. This sheet also includes the average of three technical (pseudo)replicates for each gene and sample evaluated. Sheets 2 to 5 include the independent analysis of each method (BestKeeper, Normfinder, Genorm and Delta-Ct).
DOI: 10.6084/m9.figshare.20291100
title: Additional file 6 of Pyrokinin receptor silencing in females of the southern cattle tick Rhipicephalus (Boophilus) microplus is associated with a reproductive fitness cost

description: Additional file 6: Table S1. Analyses of the stability of reference genes using BestKeeper, Normfinder, Genorm and the comparative Delta-Ct method software tools, performed on randomly selected samples from the present work. Sheet 1 shows the comprehensive analysis of gene stability (which simultaneously assesses the results of each method) that determined that Rhimi-RPS4 and Rhimi-EF1A were the most stable genes. This sheet also includes the average of three technical (pseudo)replicates for each gene and sample evaluated. Sheets 2 to 5 include the independent analysis of each method (BestKeeper, Normfinder, Genorm and Delta-Ct).
DOI: 10.6084/m9.figshare.20291103
title: Additional file 7 of Pyrokinin receptor silencing in females of the southern cattle tick Rhipicephalus (Boophilus) microplus is associated with a reproductive fitness cost

description: Additional file 7: Table S2. dsRNA treatments and respective concentrations used in each replicate of the RNAi experiment.
DOI: 10.6084/m9.figshare.20291103.v1
title: Additional file 7 of Pyrokinin receptor silencing in females of the southern cattle tick Rhipicephalus (Boophilus) microplus is associated with a reproductive fitness cost

description: Additional file 7: Table S2. dsRNA treatments and respective concentrations used in each replicate of the RNAi experiment.
DOI: 10.6084/m9.figshare.20291165
title: Tracing Pb from Nolans Bore thorianite through Alice Springs thorite to radiogenic galena: EPMA and LA-ICP-MS study of time and space

description: LA-ICP-MS measurement conditions.
DOI: 10.6084/m9.figshare.20291165.v1
title: Tracing Pb from Nolans Bore thorianite through Alice Springs thorite to radiogenic galena: EPMA and LA-ICP-MS study of time and space

description: LA-ICP-MS measurement conditions.
DOI: 10.6084/m9.figshare.20291171
title: Tracing Pb from Nolans Bore thorianite through Alice Springs thorite to radiogenic galena: EPMA and LA-ICP-MS study of time and space

description: Sample locations.
DOI: 10.6084/m9.figshare.20291171.v1
title: Tracing Pb from Nolans Bore thorianite through Alice Springs thorite to radiogenic galena: EPMA and LA-ICP-MS study of time and space

description: Sample locations.
DOI: 10.6084/m9.figshare.20291174
title: Tracing Pb from Nolans Bore thorianite through Alice Springs thorite to radiogenic galena: EPMA and LA-ICP-MS study of time and space

description: LA-ICP-MS data.
DOI: 10.6084/m9.figshare.20291174.v1
title: Tracing Pb from Nolans Bore thorianite through Alice Springs thorite to radiogenic galena: EPMA and LA-ICP-MS study of time and space

description: LA-ICP-MS data.
DOI: 10.5281/zenodo.6483027
title: Reproduction package for the paper 'TUVO-21acq: A new cataclysmic variable discovered through a UV outburst'

description: This is a basic reproduction package for the paper 'TUVO-21acq: A new cataclysmic variable discovered through a UV outburst' by Modiano et al. (2022). It aims to provide the most important data products to check and reproduce the main results of the paper, listing all software used and data archives containing the public data used. The paper is available on arxiv: https://arxiv.org/abs/2206.10395 The paper has been accepted for publication in Astronomy & Astrophysics (acceptance date: 19/06/2022). DOI: 10.1051/0004-6361/202243870
DOI: 10.5281/zenodo.6483026
title: Reproduction package for the paper 'TUVO-21acq: A new cataclysmic variable discovered through a UV outburst'

description: This is a basic reproduction package for the paper 'TUVO-21acq: A new cataclysmic variable discovered through a UV outburst' by Modiano et al. (2022). It aims to provide the most important data products to check and reproduce the main results of the paper, listing all software used and data archives containing the public data used. The paper is available on arxiv: https://arxiv.org/abs/2206.10395 The paper has been accepted for publication in Astronomy & Astrophysics (acceptance date: 19/06/2022). DOI: 10.1051/0004-6361/202243870
DOI: 10.5517/ccdc.csd.cc28lm9t
title: CCDC 2103266: Experimental Crystal Structure Determination

description: Related Article: Alakbar Huseynzada, Matteo Mori, Fiorella Meneghetti, Aygun Israyilova, Gamze Tuzun, Koray Sayin, Laurent R. Chiarelli, Ceylan Mutlu, Mustafa Demiralp, Ulviyya Hasanova, Vagif Abbasov|2022|J.Mol.Struct.|1267|133571|doi:10.1016/j.molstruc.2022.133571
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.cc2bzjvq
title: CCDC 2174304: Experimental Crystal Structure Determination

description: Related Article: Birdal Arslan, Gun Binzet|2022|J.Mol.Struct.|1267|133579|doi:10.1016/j.molstruc.2022.133579
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.cc2c7plx
title: CCDC 2182139: Experimental Crystal Structure Determination

description: Related Article: I.A.Litvinov, F.S.Levinson, B.I.Buzykin, A.T.Gubaidullin, E.A.Ermolaeva|2005|Butlerovskie soobshcheniya|6|23|
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.cc2c7pmy
title: CCDC 2182140: Experimental Crystal Structure Determination

description: Related Article: I.A.Litvinov, F.S.Levinson, B.I.Buzykin, A.T.Gubaidullin, E.A.Ermolaeva|2005|Butlerovskie soobshcheniya|6|23|
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.