cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5519/qd.bkpsfyj7
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (2 records)
DOI: 10.6084/m9.figshare.22716220
title: CON_tag.ucsc.bedGraph

description: CON_tag.ucsc.bedGraph
DOI: 10.6084/m9.figshare.22716220.v1
title: CON_tag.ucsc.bedGraph

description: CON_tag.ucsc.bedGraph
DOI: 10.5281/zenodo.7869745
title: Three datasets of global monthly gross primary productivity (GPP) during 2003-2018 derived from SIF, NIRv and LAI and their best-matching environmental factors

description: As the largest source of uncertainty in carbon cycle studies, accurate quantification of gross primary productivity (GPP) is critical for the global carbon budget in the context of global climate change. Numerous remote sensing vegetation indices (VIs) have participated in the estimation of global GPP. However, the relative performance of various VIs in estimating GPP and what additional factors should be combined with them to reveal the photosynthetic capacity of vegetation mechanistically better are still poorly understood. We used the Random Forest (RF) algorithm to identify the factors with the most powerful explanation of GPP and to explore the importance of these predictors. We trained six RF models to select features, i.e., two types of models (Plant Functional Type [PFT]-specific and universal) for each vegetation index (SIF, NIRv, and LAI). Each model comprised 100 decision trees, was sampled without replacement, and was trained using 70% of the data. Model performance was evaluated using out-of-bag (OOB) R-squared (R<sup>2</sup>) and root mean square error (RMSE) values. The predictor with the lowest importance score in the iteration was removed and the whole procedure was then repeated until only the vegetation index, CO<sub>2</sub>, and PFTs were left. The predictors used to estimate GPP were identified based on the performance curve of OOB R<sup>2</sup> and RMSE. The determination of the model is based on the principle that further reductions in the number of predictors would considerably reduce model performance, while increasing the number of predictors would not significantly improve model performance. Here we provide a set of high-spatial resolution (1/12°) global gridded products of monthly GPP for 2003-2018 generated for each vegetation index based on a generic model with an optimal configuration, i.e., an optimal combination of VI and other relevant variables using the RF algorithm. R<sup>2</sup> of three optimal VI-based GPP estimation models ranges from 0.84 to 0.85, and RMSE ranges from 1.51g C·m<sup>−2</sup>·d<sup>−1</sup> to 1.54g C·m<sup>−2</sup>·d<sup>−1</sup>. More information about the datasets can be found in Zhao and Zhu (2022) <strong><em>Remote Sensing</em></strong>. <em>Zhao W, Zhu Z. Exploring the Best-Matching Plant Traits and Environmental Factors for Vegetation Indices in Estimates of Global Gross Primary Productivity[J]. Remote Sensing, 2022, 14(24): 6316.</em>
description: {"references": ["Zhao W, Zhu Z. Exploring the Best-Matching Plant Traits and Environmental Factors for Vegetation Indices in Estimates of Global Gross Primary Productivity[J]. Remote Sensing, 2022, 14(24): 6316."]}
DOI: 10.5281/zenodo.7869744
title: Three datasets of global monthly gross primary productivity (GPP) during 2003-2018 derived from SIF, NIRv and LAI and their best-matching environmental factors

description: As the largest source of uncertainty in carbon cycle studies, accurate quantification of gross primary productivity (GPP) is critical for the global carbon budget in the context of global climate change. Numerous remote sensing vegetation indices (VIs) have participated in the estimation of global GPP. However, the relative performance of various VIs in estimating GPP and what additional factors should be combined with them to reveal the photosynthetic capacity of vegetation mechanistically better are still poorly understood. We used the Random Forest (RF) algorithm to identify the factors with the most powerful explanation of GPP and to explore the importance of these predictors. We trained six RF models to select features, i.e., two types of models (Plant Functional Type [PFT]-specific and universal) for each vegetation index (SIF, NIRv, and LAI). Each model comprised 100 decision trees, was sampled without replacement, and was trained using 70% of the data. Model performance was evaluated using out-of-bag (OOB) R-squared (R<sup>2</sup>) and root mean square error (RMSE) values. The predictor with the lowest importance score in the iteration was removed and the whole procedure was then repeated until only the vegetation index, CO<sub>2</sub>, and PFTs were left. The predictors used to estimate GPP were identified based on the performance curve of OOB R<sup>2</sup> and RMSE. The determination of the model is based on the principle that further reductions in the number of predictors would considerably reduce model performance, while increasing the number of predictors would not significantly improve model performance. Here we provide a set of high-spatial resolution (1/12°) global gridded products of monthly GPP for 2003-2018 generated for each vegetation index based on a generic model with an optimal configuration, i.e., an optimal combination of VI and other relevant variables using the RF algorithm. R<sup>2</sup> of three optimal VI-based GPP estimation models ranges from 0.84 to 0.85, and RMSE ranges from 1.51g C·m<sup>−2</sup>·d<sup>−1</sup> to 1.54g C·m<sup>−2</sup>·d<sup>−1</sup>. More information about the datasets can be found in Zhao and Zhu (2022) <strong><em>Remote Sensing</em></strong>. <em>Zhao W, Zhu Z. Exploring the Best-Matching Plant Traits and Environmental Factors for Vegetation Indices in Estimates of Global Gross Primary Productivity[J]. Remote Sensing, 2022, 14(24): 6316.</em>
description: {"references": ["Zhao W, Zhu Z. Exploring the Best-Matching Plant Traits and Environmental Factors for Vegetation Indices in Estimates of Global Gross Primary Productivity[J]. Remote Sensing, 2022, 14(24): 6316."]}
DOI: 10.6084/m9.figshare.21655823.v1
title: Regio- and enantioselective remote dioxygenation of internal alkenes

description: all of DFT calculation on the regioselective and enantioselective remote dioxygenation of internal alkenes
DOI: 10.6084/m9.figshare.21655823
title: Regio- and enantioselective remote dioxygenation of internal alkenes

description: all of DFT calculation on the regioselective and enantioselective remote dioxygenation of internal alkenes
DOI: 10.6084/m9.figshare.22566667.v1
title: Neural mechanism of acute stress regulation by trace aminergic signalling in the lateral habenula in male mice

description: Stress management is necessary for vertebrate survival. Chronic stress drives depression by excitation of the lateral habenula (LHb), which silences dopaminergic neurons in the ventral tegmental area (VTA) via GABAergic neuronal projection from the rostromedial tegmental nucleus (RMTg). However, the effect of acute stress on this LHb-RMTg-VTA pathway is not clearly understood. Here, we used fluorescent in situ hybridisation and in vivo electrophysiology in mice to show that LHb aromatic L-amino acid decarboxylase-expressing neurons (D-neurons) are activated by acute stressors and suppress RMTg GABAergic neurons via trace aminergic signalling, thus activating VTA dopaminergic neurons. We show that the LHb regulates RMTg GABAergic neurons biphasically under acute stress. This study, carried out on male mice, has elucidated a molecular mechanism in the efferent LHb-RMTg-VTA pathway whereby trace aminergic signalling enables the brain to manage acute stress by preventing the hypoactivity of VTA dopaminergic neurons.
DOI: 10.6084/m9.figshare.22566667
title: Neural mechanism of acute stress regulation by trace aminergic signalling in the lateral habenula in male mice

description: Stress management is necessary for vertebrate survival. Chronic stress drives depression by excitation of the lateral habenula (LHb), which silences dopaminergic neurons in the ventral tegmental area (VTA) via GABAergic neuronal projection from the rostromedial tegmental nucleus (RMTg). However, the effect of acute stress on this LHb-RMTg-VTA pathway is not clearly understood. Here, we used fluorescent in situ hybridisation and in vivo electrophysiology in mice to show that LHb aromatic L-amino acid decarboxylase-expressing neurons (D-neurons) are activated by acute stressors and suppress RMTg GABAergic neurons via trace aminergic signalling, thus activating VTA dopaminergic neurons. We show that the LHb regulates RMTg GABAergic neurons biphasically under acute stress. This study, carried out on male mice, has elucidated a molecular mechanism in the efferent LHb-RMTg-VTA pathway whereby trace aminergic signalling enables the brain to manage acute stress by preventing the hypoactivity of VTA dopaminergic neurons.
DOI: 10.6084/m9.figshare.22566988.v1
title: Exploiting Synergistic Effect of CO/NO Gases for Soft Tissue Transplantation using a Hydrogel Patch

description: Autologous skin flap transplantation is a common method for repairing complex soft tissue defects caused by cancer, trauma, and congenital malformations; however, limited blood supply range and post-transplantation ischemia-reperfusion injury can lead to distal necrosis of the flap and long-term functional loss, which severely restricts the decision-making regarding the optimal surgical plan. To address this issue, we develop a hydrogel patch for carbon monoxide and nitric oxide gases release on demand, to afford a timely blood supply for skin flap transplantation during surgery. This hydrogel patch maintains the immediate opening of blood flow channels in transplanted tissue and effective blood perfusion throughout the perioperative period, activating perfusion of the hemodynamic donor site. Our results demonstrate that the hydrogel patch promotes distal vascularization and long-term functional reconstruction of transplanted tissues by inhibiting inflammatory damage and accelerating blood vessel formation.
DOI: 10.6084/m9.figshare.22566988
title: Exploiting Synergistic Effect of CO/NO Gases for Soft Tissue Transplantation using a Hydrogel Patch

description: Autologous skin flap transplantation is a common method for repairing complex soft tissue defects caused by cancer, trauma, and congenital malformations; however, limited blood supply range and post-transplantation ischemia-reperfusion injury can lead to distal necrosis of the flap and long-term functional loss, which severely restricts the decision-making regarding the optimal surgical plan. To address this issue, we develop a hydrogel patch for carbon monoxide and nitric oxide gases release on demand, to afford a timely blood supply for skin flap transplantation during surgery. This hydrogel patch maintains the immediate opening of blood flow channels in transplanted tissue and effective blood perfusion throughout the perioperative period, activating perfusion of the hemodynamic donor site. Our results demonstrate that the hydrogel patch promotes distal vascularization and long-term functional reconstruction of transplanted tissues by inhibiting inflammatory damage and accelerating blood vessel formation.
DOI: 10.34740/kaggle/dsv/5546732
title: Russian biggest government procurement contracts
DOI: 10.7488/ds/3451
title: Consequences of RSV Infection in Young Infant

description: Each year, an estimated 33.1 million episodes of Respiratory Syncytial Virus associated to acute lower respiratory tract infections (RSV-LRTI) occur globally in children under five.In addition to acute morbidity and mortality, RSV-LRTI has long-term effects on children’s health. RSV-LRTI is associated with recurrent wheeze in the year following infection and with the development of childhood asthma, which in turn is a major risk factor of asthma in adulthood and chronic obstructive pulmonary disease. The burden of RSV-LRTI in infants age 0-5m is up to 10x higher in low- and middle-income countries, suggesting that post-RSV associated recurrent wheeze and asthma frequency may be higher too.We know little about the long-term effects of RSV infection in infants in developing healthcare systems – collecting clinical samples from young infants and a lack of an appropriate diagnostic to detect RSV virus are major obstacles to studying the infection in such countries.
DOI: 10.5519/qd.umcg17ud
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5281/zenodo.7848220
title: Data from Meta-IBD Project, metabarcoding for the diatom trophic indices evaluation, South West France

description: These data were generated within the framework of the Meta-IBD project, led by the Laboratoires des Pyrénées et des Landes and financially supported by the Adour Garonne Water Agency, including two scientific partners, Scimabio Interface and Artemis. The objective of the project was to compare the evaluation of diatom trophic indices obtained by the reference method (microscopy) versus the metabarcoding method, at the local scale. This comparison is based on biofilm sampling in southwest France, in the Adour, Nives and Gaves regions, in 2021 and 2022. The project ran from May 2021 to September 2023. The directory contains the following files: 756 (378 x 2 replicates) samples fastq files (file intituled MetaIBD_Biofilm2021et22_LPL.rar) - contains the 756 fastq files from the Laboratoires des Pyrénées et des Landes sequencing. Metadonnees_MetaIBD_20212022.csv - contains all the data available for each sample corresponding to the names of the sequencing fastq files.
DOI: 10.5281/zenodo.7848219
title: Data from Meta-IBD Project, metabarcoding for the diatom trophic indices evaluation, South West France

description: These data were generated within the framework of the Meta-IBD project, led by the Laboratoires des Pyrénées et des Landes and financially supported by the Adour Garonne Water Agency, including two scientific partners, Scimabio Interface and Artemis. The objective of the project was to compare the evaluation of diatom trophic indices obtained by the reference method (microscopy) versus the metabarcoding method, at the local scale. This comparison is based on biofilm sampling in southwest France, in the Adour, Nives and Gaves regions, in 2021 and 2022. The project ran from May 2021 to September 2023. The directory contains the following files: 756 (378 x 2 replicates) samples fastq files (file intituled MetaIBD_Biofilm2021et22_LPL.rar) - contains the 756 fastq files from the Laboratoires des Pyrénées et des Landes sequencing. Metadonnees_MetaIBD_20212022.csv - contains all the data available for each sample corresponding to the names of the sequencing fastq files.
DOI: 10.25592/uhhfdm.11839
title: Research Data: Empirical Studies on the Impact of Booking Status on Customers' Choice Behavior in Online Appointment Systems

description: The data set contains research data for the experiments presented in " Empirical Studies on the Impact of Booking Status on Customers’ Choice Behavior in Online Appointment Systems". It complements the more comprehensive research data (including instructions, experimental software codes, etc.) that are stored here: <pre>https://doi.org/10.25592/uhhfdm.10796. </pre>
DOI: 10.25592/uhhfdm.11838
title: Research Data: Empirical Studies on the Impact of Booking Status on Customers' Choice Behavior in Online Appointment Systems

description: The data set contains research data for the experiments presented in " Empirical Studies on the Impact of Booking Status on Customers’ Choice Behavior in Online Appointment Systems". It complements the more comprehensive research data (including instructions, experimental software codes, etc.) that are stored here: <pre>https://doi.org/10.25592/uhhfdm.10796. </pre>
DOI: 10.34740/kaggle/dsv/5546866
title: Russian biggest government procurement contracts
DOI: 10.6084/m9.figshare.19746262
title: The who, what, and how of teamwork research in medical operating rooms: A scoping review

description: Despite the importance of teamwork in the operating room (OR), teamwork can often be conflated with teamwork components (e.g., communication, cooperation). We reviewed the existing literature pertaining to OR teamwork to understand which teamwork components have been assessed. Following PRISMA guidelines for scoping reviews, 4,233 peer-reviewed studies were identified using MEDLINE and Embase. Eighty-seven studies were included for synthesis and analysis. Using the episodic model of teamwork as an organizing framework, studies were grouped into the following teamwork categories: (a) transition processes (e.g., goal specification), (b) action processes (e.g., coordination), (c) interpersonal processes (e.g., conflict management), (d) emergent states (e.g., psychological safety), or (e) omnibus topics (a combination of higher-order teamwork processes). Results demonstrated that action processes were most frequently explored, followed by transition processes, omnibus topics, emergent states, and interpersonal processes. Although all studies were framed as investigations of teamwork, it is important to highlight that most explored only one or a few constructs under the overarching umbrella of teamwork. We advocate for enhanced specificity with descriptions of OR teamwork, reporting practices pertaining to interprofessional demographics and outcomes, and increased diversity in study design and surgery type to advance understanding of teamwork and its implications.
DOI: 10.6084/m9.figshare.20376278.v1
title: Primary care practice characteristics associated with team functioning in primary care settings in Canada: A practice-based cross-sectional survey

description: Team-based care is recognized as a foundational building block of high-performing primary care. The purpose of this study was to identify primary care practice characteristics associated with team functioning and examine whether there is relationship between team composition or size and team functioning. We sought to answer the following research questions: (1) are primary care practice characteristics associated with team functioning; and (2) does team composition or size influence team functioning. This cross-sectional correlational study was conducted in Fraser East, British Columbia, Eastern Ontario Health Unit, Ontario and Central Zone, Nova Scotia in Canada. Data were collected from primary care practices using an organization survey and the Team Climate Inventory (TCI) as a measure team functioning. The independent variables of interest were: physicians’ payment model, internal clinic meetings to discuss clinical issues, care coordination through informal and ad hoc exchange, care coordination through electronic medical records and sharing clinic mission, values and objectives among health professionals. Potentially confounding variables were as follows: team size, composition, and practice panel size. A total of 63 practices were included in these analyses. The overall mean score of team climate was 73 (SD: 10.75) out of 100. Regression analyses showed that care coordination through human interaction and sharing the practice’s mission, values, and objectives among health professionals were positively associated with higher functioning teams. Care coordination through electronic medical records and larger team size were negatively associated with team climate. This study provides baseline data on what practice characteristics are associated with highly functioning teams in Canada.
DOI: 10.6084/m9.figshare.20702924.v1
title: The evidence base for interprofessional education within health professions education: A protocol for an update review

description: Interprofessional education (IPE) interventions aiming to promote collaborative competence and improve the delivery of health and social care processes and outcomes continue to evolve. This paper reports on a protocol for an update review that we will conduct to identify and describe how the IPE evidence base has evolved in the last 7 years. We will identify literature through a systematic search of the following electronic databases: Medline, Embase, CINAHL, Education Source, ERIC, and BEI. We will consider all IPE interventions delivered to health professions students and accredited professionals. Peer-reviewed empirical research studies published in any language from June 2014 onwards will be eligible for inclusion. The outcomes of interest are changes in the reaction, attitudes/perceptions, knowledge/skills acquisition, behaviors, organizational practice, and/or benefits to patients. We will perform each task of screening, critical appraisal, data abstraction, and synthesis using at least two members of the review team. The review will enable an update and comprehensive understanding of the IPE evidence base to inform future IPE developments, delivery and evaluation across education and clinical settings.
DOI: 10.6084/m9.figshare.19746262.v1
title: The who, what, and how of teamwork research in medical operating rooms: A scoping review

description: Despite the importance of teamwork in the operating room (OR), teamwork can often be conflated with teamwork components (e.g., communication, cooperation). We reviewed the existing literature pertaining to OR teamwork to understand which teamwork components have been assessed. Following PRISMA guidelines for scoping reviews, 4,233 peer-reviewed studies were identified using MEDLINE and Embase. Eighty-seven studies were included for synthesis and analysis. Using the episodic model of teamwork as an organizing framework, studies were grouped into the following teamwork categories: (a) transition processes (e.g., goal specification), (b) action processes (e.g., coordination), (c) interpersonal processes (e.g., conflict management), (d) emergent states (e.g., psychological safety), or (e) omnibus topics (a combination of higher-order teamwork processes). Results demonstrated that action processes were most frequently explored, followed by transition processes, omnibus topics, emergent states, and interpersonal processes. Although all studies were framed as investigations of teamwork, it is important to highlight that most explored only one or a few constructs under the overarching umbrella of teamwork. We advocate for enhanced specificity with descriptions of OR teamwork, reporting practices pertaining to interprofessional demographics and outcomes, and increased diversity in study design and surgery type to advance understanding of teamwork and its implications.
DOI: 10.6084/m9.figshare.20376267
title: Factors associated with interprofessional competencies among healthcare professionals in Japan

description: We aimed to explore factors associated with interprofessional competencies among healthcare professionals in Japan. From June to October 2020, we conducted a cross-sectional survey via a validated self-administered web-based questionnaire using the Japanese version of the Self-assessment Scale of Interprofessional Competency (JASSIC). We recruited participants from an e-mail list. The questionnaire asked about JASSIC, basic demographic information, whether they had undertaken pre- and post-licensure interprofessional education (IPE), and administrative experience; as well as an organizational climate scale, including “Plan, Do, See” factor for management (PDS factor), and the “Do” factor in a leader-centered direction for people who work unwillingly. Factors associated with the total JASSIC score as interprofessional competencies were determined using multiple regression analysis. We analyzed data from 560 participants with an average age of 41.0 years, comprising 132 nurses, 127 doctors, and 120 social workers. The median of the total JASSIC score was 72/90 (range: 66–78). On multiple regression analysis, total JASSIC score was significantly associated with age, PDS factor, administrative experience, pre-licensure IPE, and pos-licensure IPE. These findings emphasize the importance of pre- and post-licensure IPE, and administrative experience for improving interprofessional competencies in Japan.