cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5907070
title: Dataset related to the article "Neuropeptide Y promotes adipogenesis of human cardiac mesenchymal stromal cells in arrhythmogenic cardiomyopathy"

description: This record contains raw data related to the article “Neuropeptide Y promotes adipogenesis of human cardiac mesenchymal stromal cells in arrhythmogenic cardiomyopathy" <strong>Background: </strong>Arrhythmogenic Cardiomyopathy (AC) is a familial cardiac disease, mainly caused by mutations in desmosomal genes. AC hearts show fibro-fatty myocardial replacement, which favors stress-related life-threatening arrhythmias, predominantly in the young and athletes. AC lacks effective therapies, as its pathogenesis is poorly understood. Recently, we showed that cardiac Mesenchymal Stromal Cells (cMSCs) contribute to adipose tissue in human AC hearts, although the underlying mechanisms are still unclear. <strong>Purpose: </strong>We hypothesize that the sympathetic neurotransmitter, Neuropeptide Y (NPY), participates to cMSC adipogenesis in human AC. <strong>Methods: </strong>For translation of our findings, we combined in vitro cytochemical, molecular and pharmacologic assays on human cMSCs, from myocardial biopsies of healthy controls and AC patients, with the use of existing drugs to interfere with the predicted AC mechanisms. Sympathetic innervation was inspected in human autoptic heart samples, and NPY plasma levels measured in healthy and AC subjects. <strong>Results: </strong>AC cMSCs expressed higher levels of pro-adipogenic isotypes of NPY-receptors (i.e. Y1-R, Y5-R). Consistently, NPY enhanced adipogenesis in AC cMSCs, which was blocked by FDA-approved Y1-R and Y5-R antagonists. AC-associated PKP2 reduction directly caused NPY-dependent adipogenesis in cMSCs. In support of the involvement of sympathetic neurons (SNs) and NPY in AC myocardial remodeling, patients had elevated NPY plasma levels and, in human AC hearts, SNs accumulated in fatty areas and were close to cMSCs. <strong>Conclusions: </strong>Independently from the disease origin, AC causes in cMSCs a targetable gain of responsiveness to NPY, which leads to increased adipogenesis, thus playing a role in AC myocardial remodeling.
DOI: 10.5281/zenodo.5903357
title: Cardiac tumors: imaging findings, clinical correlations and surgical treatment in a 15 years single-center experience

description: This record contains raw data related to the article “Cardiac tumors: imaging findings, clinical correlations and surgical treatment in a 15 years single-center experience”<br> Abstract <strong>Background: </strong>We aimed to: present the clinical and pathological characteristics of cardiac tumors in a single-center series of patients, describe the association of imaging characteristics, clinical presentation and surgical treatment, analyze if second level imaging tests, computed tomography (CT) and cardiac magnentic resonance (CMR), improve the diagnostic accuracy when compared to first-line imaging technique (transthoracic echocardiography,TTE). <strong>Methods: </strong>We reviewed the medical and surgical records, TTE, CT and CMR examinations of 86 patients with an histological diagnosis of cardiac tumors between 2004 and 2019. <strong>Results: </strong>The majority were benign tumors (81%) with myxoma accounting for 66% of cases. Among malignancies, metastasis (8%) and primary tumors (10%) were equally recognized. Symptoms at presentation (45% of patients) were associated to larger diameters at TTE. Malignancies were larger (mean diameter 37±14 mm vs 27±13 mm, p&lt;0.01), more frequently exhibited irregular shape (67% vs 17%, p&lt;0.01), frayed or polylobulated surface (73% vs 38%, p=0.035), heterogeneous aspect (67% vs 32%, p=0.012). A maximum diameter &gt;28mm and a minimum diameter &gt;19.5mm emerged as possible cut-off values for the differentiation of benign and malignant tumors. The ability of TTE, CT and CMR features in identifying malingnancies was moderate (diagnostic accuracy of 84%, 81%, 76% respectively). The mean survival time after surgery was 1.6±1.4 years in malignancies and 6.8±4.7 years in benign tumors. <strong>Conclusions: </strong>Cardiac tumors are rare and mostly benign; their nature and clinics related to TTE appearance. CT and CMR may be used sinergically with TTE. Surgery is curative in benign tumors, survival remains scarce in malignancies.
DOI: 10.5281/zenodo.5903356
title: Cardiac tumors: imaging findings, clinical correlations and surgical treatment in a 15 years single-center experience

description: This record contains raw data related to the article “Cardiac tumors: imaging findings, clinical correlations and surgical treatment in a 15 years single-center experience”<br> Abstract <strong>Background: </strong>We aimed to: present the clinical and pathological characteristics of cardiac tumors in a single-center series of patients, describe the association of imaging characteristics, clinical presentation and surgical treatment, analyze if second level imaging tests, computed tomography (CT) and cardiac magnentic resonance (CMR), improve the diagnostic accuracy when compared to first-line imaging technique (transthoracic echocardiography,TTE). <strong>Methods: </strong>We reviewed the medical and surgical records, TTE, CT and CMR examinations of 86 patients with an histological diagnosis of cardiac tumors between 2004 and 2019. <strong>Results: </strong>The majority were benign tumors (81%) with myxoma accounting for 66% of cases. Among malignancies, metastasis (8%) and primary tumors (10%) were equally recognized. Symptoms at presentation (45% of patients) were associated to larger diameters at TTE. Malignancies were larger (mean diameter 37±14 mm vs 27±13 mm, p&lt;0.01), more frequently exhibited irregular shape (67% vs 17%, p&lt;0.01), frayed or polylobulated surface (73% vs 38%, p=0.035), heterogeneous aspect (67% vs 32%, p=0.012). A maximum diameter &gt;28mm and a minimum diameter &gt;19.5mm emerged as possible cut-off values for the differentiation of benign and malignant tumors. The ability of TTE, CT and CMR features in identifying malingnancies was moderate (diagnostic accuracy of 84%, 81%, 76% respectively). The mean survival time after surgery was 1.6±1.4 years in malignancies and 6.8±4.7 years in benign tumors. <strong>Conclusions: </strong>Cardiac tumors are rare and mostly benign; their nature and clinics related to TTE appearance. CT and CMR may be used sinergically with TTE. Surgery is curative in benign tumors, survival remains scarce in malignancies.
DOI: 10.5281/zenodo.5877931
title: Machine Learning Prediction Models for Mitral Valve Repairability and Mitral Regurgitation Recurrence in Patients Undergoing Surgical Mitral Valve Repair

description: This record contains raw data related to the article "Machine Learning Prediction Models for Mitral Valve Repairability and Mitral Regurgitation Recurrence in Patients Undergoing Surgical Mitral Valve Repair" Abstract: Background: Mitral valve regurgitation (MR) is the most common valvular heart disease and current variables associated with MR recurrence are still controversial. We aim to develop a machine learning-based prognostic model to predict causes of mitral valve (MV) repair failure and MR recurrence. Methods: 1000 patients who underwent MV repair at our institution between 2008 and 2018 were enrolled. Patients were followed longitudinally for up to three years. Clinical and echocardiographic data were included in the analysis. Endpoints were MV repair surgical failure with consequent MV replacement or moderate/severe MR (&gt;2+) recurrence at one-month and moderate/severe MR recurrence after three years. Results: 817 patients (DS1) had an echocardiographic examination at one-month while 295 (DS2) also had one at three years. Data were randomly divided into training (DS1: n = 654; DS2: n = 206) and validation (DS1: n = 164; DS2 n = 89) cohorts. For intra-operative or early MV repair failure assessment, the best area under the curve (AUC) was 0.75 and the complexity of mitral valve prolapse was the main predictor. In predicting moderate/severe recurrent MR at three years, the best AUC was 0.92 and residual MR at six months was the most<br> important predictor. Conclusions: Machine learning algorithms may improve prognosis after MV repair procedure, thus improving indications for correct candidate selection for MV surgical repair.
DOI: 10.5281/zenodo.5877930
title: Machine Learning Prediction Models for Mitral Valve Repairability and Mitral Regurgitation Recurrence in Patients Undergoing Surgical Mitral Valve Repair

description: This record contains raw data related to the article "Machine Learning Prediction Models for Mitral Valve Repairability and Mitral Regurgitation Recurrence in Patients Undergoing Surgical Mitral Valve Repair" Abstract: Background: Mitral valve regurgitation (MR) is the most common valvular heart disease and current variables associated with MR recurrence are still controversial. We aim to develop a machine learning-based prognostic model to predict causes of mitral valve (MV) repair failure and MR recurrence. Methods: 1000 patients who underwent MV repair at our institution between 2008 and 2018 were enrolled. Patients were followed longitudinally for up to three years. Clinical and echocardiographic data were included in the analysis. Endpoints were MV repair surgical failure with consequent MV replacement or moderate/severe MR (&gt;2+) recurrence at one-month and moderate/severe MR recurrence after three years. Results: 817 patients (DS1) had an echocardiographic examination at one-month while 295 (DS2) also had one at three years. Data were randomly divided into training (DS1: n = 654; DS2: n = 206) and validation (DS1: n = 164; DS2 n = 89) cohorts. For intra-operative or early MV repair failure assessment, the best area under the curve (AUC) was 0.75 and the complexity of mitral valve prolapse was the main predictor. In predicting moderate/severe recurrent MR at three years, the best AUC was 0.92 and residual MR at six months was the most<br> important predictor. Conclusions: Machine learning algorithms may improve prognosis after MV repair procedure, thus improving indications for correct candidate selection for MV surgical repair.
DOI: 10.5281/zenodo.5877156
title: Dataset related to the article "Rest and exercise oxygen uptake and cardiac output changes 6 months after successful transcatheter mitral valve repair"

description: <strong>Aims: </strong>Changes in peak exercise oxygen uptake (VO<sub>2</sub> ) and cardiac output (CO) 6 months after successful percutaneous edge-to-edge mitral valve repair (pMVR) in severe primary (PMR) and functional mitral regurgitation (FMR) patients are unknown. The aim of the study was to assess the efficacy of pMVR at rest by echocardiography, VO<sub>2</sub> and CO (inert gas rebreathing) measurement and during cardiopulmonary exercise test with CO measurement. <strong>Methods and results: </strong>We evaluated 145 and 115 patients at rest and 98 and 66 during exercise before and after pMVR, respectively. After successful pMVR, significant reductions in MR and NYHA class were observed in FMR and PMR patients. Cardiac ultrasound showed reverse remodelling (left ventricular end-diastolic volume from 158 ± 63 mL to 147 ± 64, P &lt; 0.001; ejection fraction from 51 ± 15 to 48 ± 14, P &lt; 0.001; pulmonary artery systolic pressure (PASP) from 43 ± 13 to 38 ± 8 mmHg, P &lt; 0.001) in the entire population. These changes were significant in PMR (n = 62) and a trend in FMR (n = 53), except for PASP, which decreased in both groups. At rest, CO and stroke volume (SV) increased in FMR with a concomitant reduction in arteriovenous O<sub>2</sub> content difference [ΔC(a-v)O<sub>2</sub> ]. Peak exercise, CO and SV increased significantly in both groups (CO from 5.5 ± 1.4 L/min to 6.3 ± 1.5 and from 6.2 ± 2.4 to 6.7 ± 2.0, SV from 57 ± 19 mL to 66 ± 20 and from 62 ± 20 to 69 ± 20, in FMR and PMR, respectively), whereas peak VO<sub>2</sub> was unchanged and ΔC(a-v)O<sub>2</sub> decreased. <strong>Conclusions: </strong>These data confirm pMVR-induced clinical improvement and reverse ventricular remodelling at a 6-month analysis and show, in spite of an increase in CO, an unchanged exercise performance, which is achieved through a 'more physiological' blood flow distribution and O<sub>2</sub> extraction behaviour. Direct rest and exercise CO should be measured to assess pMVR efficacy. <strong>Keywords: </strong>Cardiac output; Exercise; Oxygen uptake; Percutaneous edge-to-edge mitral valve repair; Transcatheter mitral valve repair.
DOI: 10.5281/zenodo.5877155
title: Dataset related to the article "Rest and exercise oxygen uptake and cardiac output changes 6 months after successful transcatheter mitral valve repair"

description: <strong>Aims: </strong>Changes in peak exercise oxygen uptake (VO<sub>2</sub> ) and cardiac output (CO) 6 months after successful percutaneous edge-to-edge mitral valve repair (pMVR) in severe primary (PMR) and functional mitral regurgitation (FMR) patients are unknown. The aim of the study was to assess the efficacy of pMVR at rest by echocardiography, VO<sub>2</sub> and CO (inert gas rebreathing) measurement and during cardiopulmonary exercise test with CO measurement. <strong>Methods and results: </strong>We evaluated 145 and 115 patients at rest and 98 and 66 during exercise before and after pMVR, respectively. After successful pMVR, significant reductions in MR and NYHA class were observed in FMR and PMR patients. Cardiac ultrasound showed reverse remodelling (left ventricular end-diastolic volume from 158 ± 63 mL to 147 ± 64, P &lt; 0.001; ejection fraction from 51 ± 15 to 48 ± 14, P &lt; 0.001; pulmonary artery systolic pressure (PASP) from 43 ± 13 to 38 ± 8 mmHg, P &lt; 0.001) in the entire population. These changes were significant in PMR (n = 62) and a trend in FMR (n = 53), except for PASP, which decreased in both groups. At rest, CO and stroke volume (SV) increased in FMR with a concomitant reduction in arteriovenous O<sub>2</sub> content difference [ΔC(a-v)O<sub>2</sub> ]. Peak exercise, CO and SV increased significantly in both groups (CO from 5.5 ± 1.4 L/min to 6.3 ± 1.5 and from 6.2 ± 2.4 to 6.7 ± 2.0, SV from 57 ± 19 mL to 66 ± 20 and from 62 ± 20 to 69 ± 20, in FMR and PMR, respectively), whereas peak VO<sub>2</sub> was unchanged and ΔC(a-v)O<sub>2</sub> decreased. <strong>Conclusions: </strong>These data confirm pMVR-induced clinical improvement and reverse ventricular remodelling at a 6-month analysis and show, in spite of an increase in CO, an unchanged exercise performance, which is achieved through a 'more physiological' blood flow distribution and O<sub>2</sub> extraction behaviour. Direct rest and exercise CO should be measured to assess pMVR efficacy. <strong>Keywords: </strong>Cardiac output; Exercise; Oxygen uptake; Percutaneous edge-to-edge mitral valve repair; Transcatheter mitral valve repair.
DOI: 10.6084/m9.figshare.16974889
title: S21. Results indicative species analysis for group J

description: Supplementary table S21. Results indicative species analysis for the individuals of group J.
DOI: 10.6084/m9.figshare.16974889.v2
title: S21. Results indicative species analysis for group J

description: Supplementary table S21. Results indicative species analysis for the individuals of group J.
DOI: 10.6084/m9.figshare.16974889.v1
title: S21. Results indicative species analysis for group J

description: Supplementary table S21. Results indicative species analysis for the individuals of group J.
DOI: 10.5281/zenodo.5927245
title: msd-errors - Random walk data

description: The data related to the random walk components of the msd-error work, including truly random and temporarily anti-correlated random walks at a series of system and step size. These have either be analysed numerically or analytically (using kinisi, WLS, or OLS).<br><br>Created using showyourwork from this GitHub repo.<br>
DOI: 10.6084/m9.figshare.17197574
title: Supplementary Material for: The 370 Da inhibitor of the sodium pump in the plasma of haemodialysis patients

description: Background: Previous studies have shown that a molecule of mass 370 Da that inhibits the sodium pump can be extracted from human placentas and from the concentrated plasma or ultrafiltrate of volume-expanded patients. Aim: To study the abundance of the 370 Da molecule and its changes across dialysis in a population of patients with renal failure treated by haemodialysis. Methods: 4 mL pre- and post-dialysis blood samples (2 mL plasma) were taken from patients receiving intermittent haemodialysis and analysed by high performance liquid chromatography (HPLC) coupled to high sensitivity mass spectrometry. Results: In over half the study population, the 370 Da molecule was present in an abundance that exceeded the limit of quantitation. Most patients experienced a marked fall in the abundance of the molecule over a haemodiafiltration (HDF) session, though exceptions were seen in two individuals both of whom showed clear evidence for the presence of two structural isomers of the 370 Da molecule. Conclusions: Advanced renal failure is frequently accompanied by an increased abundance of a 370 Da inhibitor of the sodium pump and that abundance is strongly impacted by haemodialysis. The technique described here could readily be applied to other clinical situations where sodium pump inhibition might be anticipated, such as hypertension, pregnancy and fetal medicine and thereby lead to a better understanding of the physiology and patho-physiology of these conditions.
DOI: 10.5281/zenodo.5572600
title: Co-benefits of forest carbon projects in Southeast Asia

description: This dataset contains the output rasters produced to determine the climate mitigation potential, crop pollination service for pollinator-dependent agriculture, quantity of nitrogen retained and Key Biodiversity Areas conserved at the various carbon price points, namely USD 1, 2, 3, 4, 5, 10, 15, 20, 25, 50 and 100 t<sup>-1</sup> CO<sub>2</sub>e across Southeast Asia. All data are masked to forest areas determined across the region at 1 km resolution, based on a cylindrical equal area projection. We also determined locations across the region where forest protections would deliver multiple benefits through a spatial overlay. Areas identified to contribute any level of co-benefit were coded 1 to 3, indicating the number of co-benefits that could be attained in addition to climate mitigation from avoided forest loss, assessed for each price point. Further details of the datasets can be found in Sarira et. al. For further questions or issues with the datasets, please contact Tasya Vadya Sarira at tasya.sarira@adelaide.edu.au.
DOI: 10.5281/zenodo.5572599
title: Co-benefits of forest carbon projects in Southeast Asia

description: This dataset contains the output rasters produced to determine the climate mitigation potential, crop pollination service for pollinator-dependent agriculture, quantity of nitrogen retained and Key Biodiversity Areas conserved at the various carbon price points, namely USD 1, 2, 3, 4, 5, 10, 15, 20, 25, 50 and 100 t<sup>-1</sup> CO<sub>2</sub>e across Southeast Asia. All data are masked to forest areas determined across the region at 1 km resolution, based on a cylindrical equal area projection. We also determined locations across the region where forest protections would deliver multiple benefits through a spatial overlay. Areas identified to contribute any level of co-benefit were coded 1 to 3, indicating the number of co-benefits that could be attained in addition to climate mitigation from avoided forest loss, assessed for each price point. Further details of the datasets can be found in Sarira et. al. For further questions or issues with the datasets, please contact Tasya Vadya Sarira at tasya.sarira@adelaide.edu.au.
DOI: 10.6084/m9.figshare.16974886
title: S19. Results indicative species analysis group F.

description: Supplementary Table S19. Results indicative species analysis for the individuals of group F.<br>
DOI: 10.6084/m9.figshare.16974886.v2
title: S19. Results indicative species analysis group F.

description: Supplementary Table S19. Results indicative species analysis for the individuals of group F.<br>
DOI: 10.6084/m9.figshare.16974886.v1
title: S19. Results indicative species analysis group F.

description: Supplementary Table S19. Results indicative species analysis for the individuals of group F.<br>
DOI: 10.6084/m9.figshare.16974856
title: S17. Results indicative species analysis group B.

description: Supplementary Table S17.Results indicative species analysis for the individuals of group B.<br>
DOI: 10.6084/m9.figshare.16974856.v2
title: S17. Results indicative species analysis group B.

description: Supplementary Table S17.Results indicative species analysis for the individuals of group B.<br>
DOI: 10.6084/m9.figshare.16974856.v1
title: S17. Results indicative species analysis group B.

description: Supplementary Table S17.Results indicative species analysis for the individuals of group B.<br>
DOI: 10.6084/m9.figshare.16974844
title: S15. Results indicative species analysis for group A

description: Supplementary Table S15. Results indicative species analysis for the individuals of group A.<br>
DOI: 10.6084/m9.figshare.16974844.v2
title: S15. Results indicative species analysis for group A

description: Supplementary Table S15. Results indicative species analysis for the individuals of group A.<br>
DOI: 10.6084/m9.figshare.16974844.v1
title: S15. Results indicative species analysis for group A

description: Supplementary Table S15. Results indicative species analysis for the individuals of group A.<br>
DOI: 10.6084/m9.figshare.16974832
title: S14. MaAsLin2 results for second dataset

description: Supplementary table S14. Results from MaAsLin2 analysis detecting associations between bacteria genera and group membership, social interactions, parasite richness, sex, age, fGCM levels, diet and precipitation.<br>
DOI: 10.6084/m9.figshare.16974832.v1
title: S14. MaAsLin2 results for second dataset

description: Supplementary table S14. Results from MaAsLin2 analysis detecting associations between bacteria genera and group membership, social interactions, parasite richness, sex, age, fGCM levels, diet and precipitation.<br>
DOI: 10.6084/m9.figshare.19095968.v1
title: 16S_ASV_table

description: This table contains all the 16S amplicons obtained after bioinformatic processing from two different projects on the gut microbiome of redfronted lemurs. For this project the datasets were subsetted. The R scripts for subsetting the data can found in https://github.com/tmurillocorrales/Redfrontedlemurs_gutmicrobiome/tree/main/16S_amplicons.
DOI: 10.6084/m9.figshare.19095968
title: 16S_ASV_table

description: This table contains all the 16S amplicons obtained after bioinformatic processing from two different projects on the gut microbiome of redfronted lemurs. For this project the datasets were subsetted. The R scripts for subsetting the data can found in https://github.com/tmurillocorrales/Redfrontedlemurs_gutmicrobiome/tree/main/16S_amplicons.
DOI: 10.5517/ccdc.csd.cc20zby9
title: CCDC 1876211: Experimental Crystal Structure Determination

description: Related Article: Tobias A. Engesser,  Wesley J. Transue,  Philippe Weis,  Christopher C. Cummins, Ingo Krossing|2019|Eur.J.Inorg.Chem.|2019|2607|doi:10.1002/ejic.201900267
DOI: 10.5517/ccdc.csd.cc20zbzb
title: CCDC 1876212: Experimental Crystal Structure Determination

description: Related Article: Tobias A. Engesser,  Wesley J. Transue,  Philippe Weis,  Christopher C. Cummins, Ingo Krossing|2019|Eur.J.Inorg.Chem.|2019|2607|doi:10.1002/ejic.201900267
DOI: 10.5517/ccdc.csd.cc2170bn
title: CCDC 1883570: Experimental Crystal Structure Determination

description: Related Article: Glenda Yahely Ruelas-Álvarez,  Alicia Jaquelin CárdenasValenzuela,  Adriana Cruz,  Herbert Höpfl,  José de Jesús Campos Gaxiola,  Mario A. Rodríguez Rivera, Braulio Rodríguez-Molina|2019|Eur.J.Inorg.Chem.|2019|2707|doi:10.1002/ejic.201900244