cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19076567
title: Musculoskeletal injury epidemiology in law enforcement and firefighter recruits during physical training: a systematic review.

description: <b>ABSTRACT</b> <b>Objectives:</b> Report the injury epidemiology of law enforcement and firefighter recruits. <b></b> <b>Design: </b>A systematic epidemiological review following the PRISMA 2020 guidelines was completed.<b></b> <b>Data Sources: </b>Five online databases were searched from database inception to 5<sup>th</sup> May 2021.<b></b> <b>Eligibility criteria for selecting studies:</b> Prospective and retrospective studies that reported data on musculoskeletal injuries sustained by law enforcement or firefighter recruits were included.<b> </b>We reported on all components of injury where data were available. All injury incidence rates were calculated as per 1000 training days (Poisson 95% CI) to allow comparisons between studies.<b> </b>Study quality was assessed using the Joanna Briggs Institute Quality Assessment Checklist for Prevalence Studies.<b></b> <b>Results: </b>No studies reporting firefighter recruits were identified. Eight published studies that reported on injuries to law enforcement recruits were identified. The studies were all low quality, and the credibility of the evidence was assessed as very low. Seven studies reported medical attention injuries, and one study reported the number of medical withdrawals from a recruit training program. The prevalence of law enforcement recruits with medical attention injuries ranged from 13.7 to 24.5%. The overall medical attention injury incidence rate for law enforcement recruits ranged from 1.67 injuries per 1000 training days (Poisson 95%CI 1.00-2.34 injuries per 1000 training days) to 4.24 injuries per 1000 training days (Poisson 95%CI 2.97-5.51 injuries per 1000 training days). <b>Conclusion:</b> This review reported the prevalence and incidence rates for musculoskeletal injuries in law enforcement officers. However, the credibility of the evidence is very low.
DOI: 10.6084/m9.figshare.19076567.v1
title: Musculoskeletal injury epidemiology in law enforcement and firefighter recruits during physical training: a systematic review.

description: <b>ABSTRACT</b> <b>Objectives:</b> Report the injury epidemiology of law enforcement and firefighter recruits. <b></b> <b>Design: </b>A systematic epidemiological review following the PRISMA 2020 guidelines was completed.<b></b> <b>Data Sources: </b>Five online databases were searched from database inception to 5<sup>th</sup> May 2021.<b></b> <b>Eligibility criteria for selecting studies:</b> Prospective and retrospective studies that reported data on musculoskeletal injuries sustained by law enforcement or firefighter recruits were included.<b> </b>We reported on all components of injury where data were available. All injury incidence rates were calculated as per 1000 training days (Poisson 95% CI) to allow comparisons between studies.<b> </b>Study quality was assessed using the Joanna Briggs Institute Quality Assessment Checklist for Prevalence Studies.<b></b> <b>Results: </b>No studies reporting firefighter recruits were identified. Eight published studies that reported on injuries to law enforcement recruits were identified. The studies were all low quality, and the credibility of the evidence was assessed as very low. Seven studies reported medical attention injuries, and one study reported the number of medical withdrawals from a recruit training program. The prevalence of law enforcement recruits with medical attention injuries ranged from 13.7 to 24.5%. The overall medical attention injury incidence rate for law enforcement recruits ranged from 1.67 injuries per 1000 training days (Poisson 95%CI 1.00-2.34 injuries per 1000 training days) to 4.24 injuries per 1000 training days (Poisson 95%CI 2.97-5.51 injuries per 1000 training days). <b>Conclusion:</b> This review reported the prevalence and incidence rates for musculoskeletal injuries in law enforcement officers. However, the credibility of the evidence is very low.
DOI: 10.5281/zenodo.5909717
title: Factors associated with emotional exhaustion in healthcare professionals involved in the COVID-19 pandemic: an application of the job demands-resources model

description: Dataset from Barello S, Caruso R, Palamenghi L, Nania T, Dellafiore F, Bonetti L, Silenzi A, Marotta C, Graffigna G. Factors associated with emotional exhaustion in healthcare professionals involved in the COVID-19 pandemic: an application of the job demands-resources model. Int Arch Occup Environ Health. 2021 Nov;94(8):1751-1761. doi: 10.1007/s00420-021-01669-z. Epub 2021 Mar 3. PMID: 33660030; PMCID: PMC7928172. Abstract <strong>Purpose: </strong>The purpose of the present cross-sectional study is to investigate the role of perceived COVID-19-related organizational demands and threats in predicting emotional exhaustion, and the role of organizational support in reducing the negative influence of perceived COVID-19 work-related stressors on burnout. Moreover, the present study aims to add to the understanding of the role of personal resources in the Job Demands-Resources model (JD-R) by examining whether personal resources-such as the professionals' orientation towards patient engagement-may also strengthen the impact of job resources and mitigate the impact of job demands. <strong>Methods: </strong>This cross-sectional study involved 532 healthcare professionals working during the COVID-19 pandemic in Italy. It adopted the Job-Demands-Resource Model to study the determinants of professional's burnout. An integrative model describing how increasing job demands experienced by this specific population are related to burnout and in particular to emotional exhaustion symptoms was developed. <strong>Results: </strong>The results of the logistic regression models provided strong support for the proposed model, as both Job Demands and Resources are significant predictors (OR = 2.359 and 0.563 respectively, with p &lt; 0.001). Moreover, healthcare professionals' orientation towards patient engagement appears as a significant moderator of this relationship, as it reduces Demands' effect (OR = 1.188) and increases Resources' effect (OR = 0.501). <strong>Conclusions: </strong>These findings integrate previous findings on the JD-R Model and suggest the relevance of personal resources and of relational factors in affecting professionals' experience of burnout.
DOI: 10.5281/zenodo.5909716
title: Factors associated with emotional exhaustion in healthcare professionals involved in the COVID-19 pandemic: an application of the job demands-resources model

description: Dataset from Barello S, Caruso R, Palamenghi L, Nania T, Dellafiore F, Bonetti L, Silenzi A, Marotta C, Graffigna G. Factors associated with emotional exhaustion in healthcare professionals involved in the COVID-19 pandemic: an application of the job demands-resources model. Int Arch Occup Environ Health. 2021 Nov;94(8):1751-1761. doi: 10.1007/s00420-021-01669-z. Epub 2021 Mar 3. PMID: 33660030; PMCID: PMC7928172. Abstract <strong>Purpose: </strong>The purpose of the present cross-sectional study is to investigate the role of perceived COVID-19-related organizational demands and threats in predicting emotional exhaustion, and the role of organizational support in reducing the negative influence of perceived COVID-19 work-related stressors on burnout. Moreover, the present study aims to add to the understanding of the role of personal resources in the Job Demands-Resources model (JD-R) by examining whether personal resources-such as the professionals' orientation towards patient engagement-may also strengthen the impact of job resources and mitigate the impact of job demands. <strong>Methods: </strong>This cross-sectional study involved 532 healthcare professionals working during the COVID-19 pandemic in Italy. It adopted the Job-Demands-Resource Model to study the determinants of professional's burnout. An integrative model describing how increasing job demands experienced by this specific population are related to burnout and in particular to emotional exhaustion symptoms was developed. <strong>Results: </strong>The results of the logistic regression models provided strong support for the proposed model, as both Job Demands and Resources are significant predictors (OR = 2.359 and 0.563 respectively, with p &lt; 0.001). Moreover, healthcare professionals' orientation towards patient engagement appears as a significant moderator of this relationship, as it reduces Demands' effect (OR = 1.188) and increases Resources' effect (OR = 0.501). <strong>Conclusions: </strong>These findings integrate previous findings on the JD-R Model and suggest the relevance of personal resources and of relational factors in affecting professionals' experience of burnout.
DOI: 10.5281/zenodo.5909680
title: Hyytiälä SMEAR II site characteristics

description: This dataset contains description of site history and the essential characteristics of the forest stand surrounding SMEAR II research station located in Hyytiälä, Finland. The original tree inventory and increment core data are also provided. The dataset consists of following files: 1. Description of site history and essential stand and soil characteristics (Hyytiala site description.pdf) 2. Stand characteristics, tree biomasses and leaf area index calculated for all biomass inventory plots and for ICOS target stand (Hyytiala stand characteristics.xlsx) 3. Table (line_plots.csv) that indicates which biomass sample plots are<br> a) located in the area that was burned in 1962<br> b) thinned in 2002<br> c) inside ICOS target stand 4. Cleaned-up tree-wise inventory data collected at the line sampling plots in 2001, 2008, 2012 and 2015 (Biomass inventories.xlsx) 5. Cleaned-up core drilling data collected at the line sampling plots in 2012, 2014 and 2016 for pine growth calculations (Core Drilling YYYY.txt, Core Drilling readme.txt)
DOI: 10.6084/m9.figshare.16727317
title: Metadata record for: Dataset of human intracranial recordings during famous landmark identification

description: This dataset contains key characteristics about the data described in the Data Descriptor Dataset of human intracranial recordings during famous landmark identification. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.17134307
title: Supplementary Material for: A systematic review on the effectiveness of clinician directed interventions to improve compliance to post polypectomy surveillance guidelines

description: Introduction Clinical practice guidelines recommend periodic colonoscopy surveillance following colorectal adenoma excision. Inappropriate use of post polypectomy surveillance is common and lead to improper resource utilisation.The aim of this review is to identify structured interventions which can affect post polypectomy surveillance practices and to evaluate the effectiveness of these various interventions in improving clinician adherence to post polypectomy surveillance guidelines. Methods A computerised search was performed to identify relevant studies between 1997 to November 2020. Two investigators identified eligible studies and extracted data independently. The quality of the included studies was assessed by the Newcastle-Ottawa risk of assessment scoring system. Results The search identified 5602 citations. Forty-one articles were retrieved for full text analysis and seven studies met the inclusion criteria. Compliance to PPS guidelines were higher following interventions which included medical education, specialist nurse coordinators facilitation, continuous quality improvement and clinical decision support systems. Conclusion This study demonstrates that medical education, specialist nurse coordinators, continuous quality improvement and clinical decision support systems are effective in improving clinicians’ compliance to post polypectomy surveillance guidelines and is associated with reduction in over- and underutilisation of colonoscopy surveillance resources.
DOI: 10.6084/m9.figshare.17134307.v1
title: Supplementary Material for: A systematic review on the effectiveness of clinician directed interventions to improve compliance to post polypectomy surveillance guidelines

description: Introduction Clinical practice guidelines recommend periodic colonoscopy surveillance following colorectal adenoma excision. Inappropriate use of post polypectomy surveillance is common and lead to improper resource utilisation.The aim of this review is to identify structured interventions which can affect post polypectomy surveillance practices and to evaluate the effectiveness of these various interventions in improving clinician adherence to post polypectomy surveillance guidelines. Methods A computerised search was performed to identify relevant studies between 1997 to November 2020. Two investigators identified eligible studies and extracted data independently. The quality of the included studies was assessed by the Newcastle-Ottawa risk of assessment scoring system. Results The search identified 5602 citations. Forty-one articles were retrieved for full text analysis and seven studies met the inclusion criteria. Compliance to PPS guidelines were higher following interventions which included medical education, specialist nurse coordinators facilitation, continuous quality improvement and clinical decision support systems. Conclusion This study demonstrates that medical education, specialist nurse coordinators, continuous quality improvement and clinical decision support systems are effective in improving clinicians’ compliance to post polypectomy surveillance guidelines and is associated with reduction in over- and underutilisation of colonoscopy surveillance resources.
DOI: 10.6084/m9.figshare.17173127
title: Metadata record for: gga-miRNOME, a microRNA-sequencing dataset from chick embryonic tissues

description: This dataset contains key characteristics about the data described in the Data Descriptor gga-miRNOME, a microRNA-sequencing dataset from chick embryonic tissues. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.17151347
title: Metadata record for: SpermTree, a species-level database of sperm morphology spanning the animal tree of life

description: This dataset contains key characteristics about the data described in the Data Descriptor SpermTree, a species-level database of sperm morphology spanning the animal tree of life. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.17151347.v1
title: Metadata record for: SpermTree, a species-level database of sperm morphology spanning the animal tree of life

description: This dataset contains key characteristics about the data described in the Data Descriptor SpermTree, a species-level database of sperm morphology spanning the animal tree of life. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.15129/ce44d0b7-4c27-40b3-8c5a-5386c6e1ac64
title: Data for: "Alkali-activated cement sensors for sodium chloride monitoring"

description: This data set contains calculations of NaCl and water contents of material specimens described in journal paper "Alkali-activated cement sensors for sodium chloride monitoring" (https://pure.strath.ac.uk/ws/portalfiles/portal/131105711). The data is in spreadsheet format.
DOI: 10.5281/zenodo.5909772
title: How the first years of motherhood impact the cardiac autonomic profile of female healthcare professionals: a study by heart rate variability analysis.

description: Dataset from Dalla Vecchia LA, De Maria B, Cassetti G, Clementi L, De Grazia V, Perego F, Porta A. How the first years of motherhood impact the cardiac autonomic profile of female healthcare professionals: a study by heart rate variability analysis. Sci Rep. 2021 Apr 14;11(1):8161. doi: 10.1038/s41598-021-87596-y. PMID: 33854133; PMCID: PMC8047021. Abstract The conciliation between career and family is a relevant issue for working women, in particular during the first years of motherhood. Data about the state of the cardiac autonomic regulation in working women with preschoolers are lacking. Aim of this study was to compare the cardiac autonomic profile of female healthcare professionals with and without preschoolers via the analysis of the variability of the time distance between two consecutive R-wave peaks (RR) from standard 24-h Holter electrocardiogram (ECG). Fifty healthy active female healthcare professionals were enrolled: 25 with at least one preschooler (W_KID) and 25 without (W_NOKID). A standard Holter ECG was obtained during a regular working day. Segments of 5000 consecutive RRs were selected during daytime (DAY) and nighttime (NIGHT). Heart rate variability analysis was performed and the following parameters were considered for comparison between the two groups: mean (μ<sub>RR</sub>), variance (σ<sup>2</sup><sub>RR</sub>), and the absolute power in high frequency component (HF) of RR (HF<sub>RR</sub>) series. HF<sub>RR</sub> was considered as a marker of vagal cardiac modulation. Only µ<sub>RR</sub> significantly increased from DAY to NIGHT in both groups (699 ± 88 vs 887 ± 140 ms in W_KID and 728 ± 90 vs 942 ± 166 ms in W_NOKID). Instead, σ<sup>2</sup><sub>RR</sub> and HF<sub>RR</sub> increased from DAY to NIGHT only in W_NOKID (from 3334 ± 2153 to 4816 ± 4063 ms<sup>2</sup> and from 356 ± 334 to 1397 ± 1629 ms<sup>2</sup>, respectively). W_KID showed lower σ<sup>2</sup><sub>RR</sub> and HF<sub>RR</sub> during NIGHT, compared to W_NOKID (2336 ± 3170 vs 4816 ± 4063 ms<sup>2</sup> and 556 ± 950 vs 1397 ± 1629 ms<sup>2</sup>, respectively). The perceived stress according to the visual analogue scale was similar in the two groups (4.7 ± 2.1 in W_KID, 5.7 ± 2.1 in W_NOKID). The presence of preschoolers lowered nocturnal cardiac vagal modulation in female healthcare professionals. This might represent an adaptation with a finalistic purpose, scilicet the facilitation of a prompt reaction in case of a child's need.
DOI: 10.5281/zenodo.5909771
title: How the first years of motherhood impact the cardiac autonomic profile of female healthcare professionals: a study by heart rate variability analysis.

description: Dataset from Dalla Vecchia LA, De Maria B, Cassetti G, Clementi L, De Grazia V, Perego F, Porta A. How the first years of motherhood impact the cardiac autonomic profile of female healthcare professionals: a study by heart rate variability analysis. Sci Rep. 2021 Apr 14;11(1):8161. doi: 10.1038/s41598-021-87596-y. PMID: 33854133; PMCID: PMC8047021. Abstract The conciliation between career and family is a relevant issue for working women, in particular during the first years of motherhood. Data about the state of the cardiac autonomic regulation in working women with preschoolers are lacking. Aim of this study was to compare the cardiac autonomic profile of female healthcare professionals with and without preschoolers via the analysis of the variability of the time distance between two consecutive R-wave peaks (RR) from standard 24-h Holter electrocardiogram (ECG). Fifty healthy active female healthcare professionals were enrolled: 25 with at least one preschooler (W_KID) and 25 without (W_NOKID). A standard Holter ECG was obtained during a regular working day. Segments of 5000 consecutive RRs were selected during daytime (DAY) and nighttime (NIGHT). Heart rate variability analysis was performed and the following parameters were considered for comparison between the two groups: mean (μ<sub>RR</sub>), variance (σ<sup>2</sup><sub>RR</sub>), and the absolute power in high frequency component (HF) of RR (HF<sub>RR</sub>) series. HF<sub>RR</sub> was considered as a marker of vagal cardiac modulation. Only µ<sub>RR</sub> significantly increased from DAY to NIGHT in both groups (699 ± 88 vs 887 ± 140 ms in W_KID and 728 ± 90 vs 942 ± 166 ms in W_NOKID). Instead, σ<sup>2</sup><sub>RR</sub> and HF<sub>RR</sub> increased from DAY to NIGHT only in W_NOKID (from 3334 ± 2153 to 4816 ± 4063 ms<sup>2</sup> and from 356 ± 334 to 1397 ± 1629 ms<sup>2</sup>, respectively). W_KID showed lower σ<sup>2</sup><sub>RR</sub> and HF<sub>RR</sub> during NIGHT, compared to W_NOKID (2336 ± 3170 vs 4816 ± 4063 ms<sup>2</sup> and 556 ± 950 vs 1397 ± 1629 ms<sup>2</sup>, respectively). The perceived stress according to the visual analogue scale was similar in the two groups (4.7 ± 2.1 in W_KID, 5.7 ± 2.1 in W_NOKID). The presence of preschoolers lowered nocturnal cardiac vagal modulation in female healthcare professionals. This might represent an adaptation with a finalistic purpose, scilicet the facilitation of a prompt reaction in case of a child's need.
DOI: 10.48370/ofd/m8zqgh
title: Peniophora cinerea (Pers.) Cooke, 2535

description: Fungarium Makromycetes
DOI: 10.48370/ofd/cjwda8
title: Athelia alnicola (Bourdot Galzin) Jülich, 2392

description: Fungarium Macromycetes
DOI: 10.17632/gvp7vshvnh.4
title: Cassava root cross-section images

description: This dataset contains images of cassava root cross-sections captured by the Makerere University Artificial Intelligence Lab in conjunction with the National Crop Resources Research Institute in Uganda and the Tanzania Agricultural Research Institute in Tanzania. The images were captured during harvests conducted by cassava breeders to assess and score root necrosis for different varieties of cassava. The dataset contains 10052 images from five field trials. The images can be used to develop deep learning algorithms that can help to automate the scoring of root necrosis and to study other aspects of necrosis expression on cassava roots. We have also added a ground truth dataset of 1036 images and corresponding masks that can be used for image analysis experiments.
DOI: 10.6084/m9.figshare.19070273.v1
title: Result_Repetead_3annova_ActionT_ObjectT.spv

description: Experimental stimuli. fMRI data. analysis results.
DOI: 10.5281/zenodo.5763838
title: Datasets for Trautmann et al. 2021

description: Data used to reproduce the analysis and figures of<strong><em> Trautmann, T., Koirala, S., Carvalhais, N., Güntner, A., & Jung, M. (2021). The importance of vegetation to understand terrestrial water storage variations. Hydrology and Earth System Sciences Discussions, 1-31</em></strong> <pre><strong>The .zip files include: </strong></pre> input.7zip forcing data and observational constraints ancillary data such as the regional classification all data is provided in <em>*.mat</em> files and adjusted to the study area and considered time period all original data is publical available, please se the references and processing as described in <em>Trautmann et al. 2021</em> model output from different experiments output from different model experiments, including simulated fluxes & states and information on model settings when unpacked, that data should be stored in a folder like follows: <em><strong>data/</strong></em> <em><strong>input/</strong></em> -&gt; the unpacked input.7zip <strong><em>model_output/ </em></strong>-&gt; the unpacked other .zip files, in 1 folder each
description: {"references": ["Trautmann, T., Koirala, S., Carvalhais, N., G\u00fcntner, A., & Jung, M. (2021). The importance of vegetation to understand terrestrial water storage variations. Hydrology and Earth System Sciences Discussions, 1-31"]}