cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5285/4a85c0ef880e4f668cd4ec8e846855ef
title: ESA Water Vapour Climate Change Initiative (Water_Vapour_cci): Total Column Water Vapour over land (CDR1), v3.2

description: This collection of data comprises the European Space Agency (ESA) Water Vapour Climate Change Initiative (Water Vapour_cci) Total Column Water Vapour over land, Climate Data Record 1 (TCWV-land (CDR1)). It comprises four datasets providing daily and monthly averages at 0.5 and 0.05 degree resolution respectively. This is an updated version of the previous v3.1 version of the data which corrects an issue with the filtering of the data.
DOI: 10.6084/m9.figshare.16860259.v5
title: 4D Flow in the infant aorta, comparing HLHS to controls

description: Flow fields and pressure maps obtained from 4D Flow MRI acquisitions in 16 children, 10 of them with hypoplastic left heart syndrome (HLHS), at 2.5 years.Original data analysed and results generated by means of the Pressure Mapping code developed in house and available on GitHub.Data available to use on condition of citation of the paper:<b>Unlocking the non-invasive assessment of conduit and reservoir function in the aorta. The obstructive descending aorta in HLHS</b>. Adelaide de Vecchi; Alessandro Faraci; Joao Filipe Fernandes; Nidhin Laji; David Marlevi; Bram Ruijsink; Hannah Bellsham-Revell; Tarique Hussain; James Wong; Reza Razavi; David Anderson; Caner Salih; Kuberan Pushparajah; David Nordsletten; Pablo Lamata, (2021). <b><i>Journal of Cardiovascular Translational Research</i></b>.<br><br>
DOI: 10.5281/zenodo.6225534
title: Deficits of hierarchical predictive coding in left spatial neglect

description: Right brain-damaged patients with unilateral spatial neglect fail to explore the left side of space. Recent EEG and clinical evidence suggests that neglect patients might suffer deficits in predictive coding, i.e. in identifying and exploiting probabilistic associations among sensory stimuli in the environment. To gain direct insights on this issue, we focussed on the hierarchical components of predictive coding. We recorded EEG responses evoked by central, left-side or right-side tones that were presented at the end of sequences of four central tones. Left-side and right-side deviant tones produce a pre-attentive Mismatch Negativity that reflects a lower-order prediction error for the ‘Local’ deviation of the tone at the end of the sequence. Higher-order prediction errors for the frequency of these deviations in the acoustic environment, i.e. ‘Global’ deviation, are marked by the P3 response. We show that when neglect patients are immersed in an acoustic environment characterized by frequent left-side deviant tones, they display no pre-attentive Mismatch Negativity both for left-side deviant tones and infrequent omissions of the last tone, while they have Mismatch Negativity for infrequent right-side deviant tones. In the same condition, neglect patients show no P300 response to ‘Global’ prediction errors for deviant tones, including those in the non-neglected right-side, and omissions. In contrast to this, when right-side deviant tones are predominant in the acoustic environment, neglect patients have pre-attentive Mismatch Negativity both for right-side deviant tones and infrequent omissions, while they display no Mismatch Negativity for infrequent left-side deviant tones. Most importantly, in the same condition neglect patients show enhanced P300 response to infrequent left-side deviant tones, notwithstanding that these tones evoked no pre-attentive Mismatch Negativity. This latter finding indicates that ‘Global’ predictions are independent of ‘Local’ error signals provided by the Mismatch Negativity. These results qualify deficits of predictive coding in the spatial neglect syndrome and show that neglect patients base their predictive behaviour only on statistical regularities that are related to the frequent occurrence of sensory events on the right side of space.
DOI: 10.5281/zenodo.6225533
title: Deficits of hierarchical predictive coding in left spatial neglect

description: Right brain-damaged patients with unilateral spatial neglect fail to explore the left side of space. Recent EEG and clinical evidence suggests that neglect patients might suffer deficits in predictive coding, i.e. in identifying and exploiting probabilistic associations among sensory stimuli in the environment. To gain direct insights on this issue, we focussed on the hierarchical components of predictive coding. We recorded EEG responses evoked by central, left-side or right-side tones that were presented at the end of sequences of four central tones. Left-side and right-side deviant tones produce a pre-attentive Mismatch Negativity that reflects a lower-order prediction error for the ‘Local’ deviation of the tone at the end of the sequence. Higher-order prediction errors for the frequency of these deviations in the acoustic environment, i.e. ‘Global’ deviation, are marked by the P3 response. We show that when neglect patients are immersed in an acoustic environment characterized by frequent left-side deviant tones, they display no pre-attentive Mismatch Negativity both for left-side deviant tones and infrequent omissions of the last tone, while they have Mismatch Negativity for infrequent right-side deviant tones. In the same condition, neglect patients show no P300 response to ‘Global’ prediction errors for deviant tones, including those in the non-neglected right-side, and omissions. In contrast to this, when right-side deviant tones are predominant in the acoustic environment, neglect patients have pre-attentive Mismatch Negativity both for right-side deviant tones and infrequent omissions, while they display no Mismatch Negativity for infrequent left-side deviant tones. Most importantly, in the same condition neglect patients show enhanced P300 response to infrequent left-side deviant tones, notwithstanding that these tones evoked no pre-attentive Mismatch Negativity. This latter finding indicates that ‘Global’ predictions are independent of ‘Local’ error signals provided by the Mismatch Negativity. These results qualify deficits of predictive coding in the spatial neglect syndrome and show that neglect patients base their predictive behaviour only on statistical regularities that are related to the frequent occurrence of sensory events on the right side of space.
DOI: 10.5281/zenodo.4634663
title: COVID19 Flow-Maps GeoLayers dataset

description: <strong>Geographic layers</strong> Geographic layers on which the different data records are geo-referenced (e.g. mobility, COVID-19 cases). The different layers can be grouped into those that cover the whole territory of pain (e.g. municipalities) and those that are restricted to a specific region (Table1). Among those that cover the full territory of Spain, the record accounts for the first four levels of administrative division, that is, autonomous communities, provinces, municipalities and districts. Visit https://flowmaps.life.bsc.es/flowboard/data for more information about the data. Layers (geo-json format): cnig_ccaa : Comunidades Autónomas CNIG cnig_provincias : Provincias CNIG cnig_municipios : Municipios CNIG ine_sec : Secciones censales INE mitma_mov : Áreas de movilidad MITMA zbs_07 : Zonas Básicas de Salud de Cy abs_09 : Àrees Bàsiques de Salut GenCat zon_bas_13 : Zonas básicas sanitarias de Madrid oe_16 : Osasun Eremuak (Zonas de Salud) Euskadi zbs_15 : Zonas Básicas de Salud del Servicio Navarro de Salud
description: This work was supported by the Generalitat de Catalunya through the project PDAD14/20/00001, by the H2020 Programme under Grant Agreement 825070 (INFORE) and by the INB Grant (PT17/0009/0001 - ISCIII-SGEFI/ERDF).
DOI: 10.5281/zenodo.4634662
title: COVID19 Flow-Maps GeoLayers dataset

description: <strong>Geographic layers</strong> Geographic layers on which the different data records are geo-referenced (e.g. mobility, COVID-19 cases). The different layers can be grouped into those that cover the whole territory of pain (e.g. municipalities) and those that are restricted to a specific region (Table1). Among those that cover the full territory of Spain, the record accounts for the first four levels of administrative division, that is, autonomous communities, provinces, municipalities and districts. Visit https://flowmaps.life.bsc.es/flowboard/data for more information about the data. Layers (geo-json format): cnig_ccaa : Comunidades Autónomas CNIG cnig_provincias : Provincias CNIG cnig_municipios : Municipios CNIG ine_sec : Secciones censales INE mitma_mov : Áreas de movilidad MITMA zbs_07 : Zonas Básicas de Salud de Cy abs_09 : Àrees Bàsiques de Salut GenCat zon_bas_13 : Zonas básicas sanitarias de Madrid oe_16 : Osasun Eremuak (Zonas de Salud) Euskadi zbs_15 : Zonas Básicas de Salud del Servicio Navarro de Salud
description: This work was supported by the Generalitat de Catalunya through the project PDAD14/20/00001, by the H2020 Programme under Grant Agreement 825070 (INFORE) and by the INB Grant (PT17/0009/0001 - ISCIII-SGEFI/ERDF).
DOI: 10.25345/c5000015c
title: MassIVE Reanalysis RMSV000000354.4362 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, SYT6 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.5281/zenodo.6225662
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: 10.25573/serc.18130892.v1
title: Dataset: Contributions of Organic and Mineral Matter to Vertical Accretion in Tidal Wetlands across a Chesapeake Bay Subestuary

description: This data release contains sediment cores collected from five tidal marsh sites along the Nanticoke River in August 2008. This dataset contains information on organic matter, dry bulk density, and total Pb210 activity for 15 sediment cores. These data were used in an analysis of vertical accretion in the tidal wetlands of this Chesapeake Bay subestuary, which is available in the Journal of Marine Science and Engineering (Allen et al, 2021; DOI: 10.3390/jmse9070751).
DOI: 10.25573/serc.18130892
title: Dataset: Contributions of Organic and Mineral Matter to Vertical Accretion in Tidal Wetlands across a Chesapeake Bay Subestuary

description: This data release contains sediment cores collected from five tidal marsh sites along the Nanticoke River in August 2008. This dataset contains information on organic matter, dry bulk density, and total Pb210 activity for 15 sediment cores. These data were used in an analysis of vertical accretion in the tidal wetlands of this Chesapeake Bay subestuary, which is available in the Journal of Marine Science and Engineering (Allen et al, 2021; DOI: 10.3390/jmse9070751).
DOI: 10.25345/c5v97zs4v
title: MassIVE Reanalysis RMSV000000354.4364 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, FSCN3 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.6084/m9.figshare.19213812.v1
title: newdata.rar

description: we enhance the same previous images using some of the image processing enhancement techniques. The image enhancement techniques that we use are represented by Morphological structuring, clustering channels RGB, LAB-image, RGB image, and Histogram Equalization image
DOI: 10.6084/m9.figshare.19213812
title: newdata.rar

description: we enhance the same previous images using some of the image processing enhancement techniques. The image enhancement techniques that we use are represented by Morphological structuring, clustering channels RGB, LAB-image, RGB image, and Histogram Equalization image
DOI: 10.25345/c5qj7800h
title: MassIVE Reanalysis RMSV000000354.4363 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, XKRX [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.5281/zenodo.6225829
title: msd-errors - Data for AgCrSe2 figures

description: Data for the figures Results of the analysis of AgCrSe2 systems by kinisi at a series of temperatures.<br><br>Created using showyourwork from this GitHub repo.<br>
DOI: 10.6084/m9.figshare.8976818.v2
title: Transition in Care from EMS Providers to Emergency Department Nurses: A Systematic Review

description: <b>Background:</b> Transitions in care between emergency medical services (EMS) providers and emergency department (ED) nurses are critical to patient care and safety. However, interactions between EMS providers and ED nurses can be problematic with communication gaps and have not been extensively studied. The aim of this review was to examine (1) factors that influence transitions in care from EMS providers to ED nurses and (2) the effectiveness of interventional strategies to improve these transitions. <b>Methods:</b> We conducted a mixed-methods systematic review that included searches of electronic databases (DARE, MEDLINE, EMBASE, Cochrane Central Register of Controlled Trials, CINAHL, Joanna Briggs Institute EBP), gray literature databases, organization websites, querying experts in emergency medicine, and the reference lists cited in included studies. All English-language studies of any design were eligible for inclusion. Two reviewers independently screened titles/abstracts and full-texts for inclusion and methodological quality, as well as extracted data from included studies. We used narrative and thematic synthesis to integrate and explore relationships within the data. <b>Results:</b> In total, 8,348 studies were screened and 130 selected for full text review. The final synthesis included 20 studies. Across 15 studies of moderate-to-high methodological quality, 6 factors influenced transitions: different professional lenses, operational constraints, professional relationships, information shared between the professions, components of the transition process, and patient presentation and involvement. Three interventions were identified in 6 methodologically weak studies: (1) transition guideline (DeMIST, Identification, Mechanism/Medical complaint, Injuries/Information related to the complaint, Signs, Treatment and Trends – Allergies, Medication, Background history, Other information [IMIST-AMBO]) with training, (2) mobile web-based technology (EMS smartphone and geographic information system location data), and (3) a new clinical role (ED ambulance off-load nurse dedicated to triaging and assessing EMS patients). There were mixed findings for the effectiveness of transition guidelines and the new clinical role. Mobile technology was seen positively by both EMS providers and ED nurses as helpful for better describing the pre-hospital context and for planning flow in the ED. <b>Conclusion:</b> While multimedia applications may potentially improve the handoff process, future intervention studies need to be rigorously designed. We recommend interdisciplinary training of EMS and ED staff in the use of flexible structured protocols, especially given review findings that interdisciplinary communication and relationships can be challenging.
DOI: 10.6084/m9.figshare.8976818
title: Transition in Care from EMS Providers to Emergency Department Nurses: A Systematic Review

description: <b>Background:</b> Transitions in care between emergency medical services (EMS) providers and emergency department (ED) nurses are critical to patient care and safety. However, interactions between EMS providers and ED nurses can be problematic with communication gaps and have not been extensively studied. The aim of this review was to examine (1) factors that influence transitions in care from EMS providers to ED nurses and (2) the effectiveness of interventional strategies to improve these transitions. <b>Methods:</b> We conducted a mixed-methods systematic review that included searches of electronic databases (DARE, MEDLINE, EMBASE, Cochrane Central Register of Controlled Trials, CINAHL, Joanna Briggs Institute EBP), gray literature databases, organization websites, querying experts in emergency medicine, and the reference lists cited in included studies. All English-language studies of any design were eligible for inclusion. Two reviewers independently screened titles/abstracts and full-texts for inclusion and methodological quality, as well as extracted data from included studies. We used narrative and thematic synthesis to integrate and explore relationships within the data. <b>Results:</b> In total, 8,348 studies were screened and 130 selected for full text review. The final synthesis included 20 studies. Across 15 studies of moderate-to-high methodological quality, 6 factors influenced transitions: different professional lenses, operational constraints, professional relationships, information shared between the professions, components of the transition process, and patient presentation and involvement. Three interventions were identified in 6 methodologically weak studies: (1) transition guideline (DeMIST, Identification, Mechanism/Medical complaint, Injuries/Information related to the complaint, Signs, Treatment and Trends – Allergies, Medication, Background history, Other information [IMIST-AMBO]) with training, (2) mobile web-based technology (EMS smartphone and geographic information system location data), and (3) a new clinical role (ED ambulance off-load nurse dedicated to triaging and assessing EMS patients). There were mixed findings for the effectiveness of transition guidelines and the new clinical role. Mobile technology was seen positively by both EMS providers and ED nurses as helpful for better describing the pre-hospital context and for planning flow in the ED. <b>Conclusion:</b> While multimedia applications may potentially improve the handoff process, future intervention studies need to be rigorously designed. We recommend interdisciplinary training of EMS and ED staff in the use of flexible structured protocols, especially given review findings that interdisciplinary communication and relationships can be challenging.
DOI: 10.6084/m9.figshare.8976818.v1
title: Transition in Care from EMS Providers to Emergency Department Nurses: A Systematic Review

description: <b>Background:</b> Transitions in care between emergency medical services (EMS) providers and emergency department (ED) nurses are critical to patient care and safety. However, interactions between EMS providers and ED nurses can be problematic with communication gaps and have not been extensively studied. The aim of this review was to examine (1) factors that influence transitions in care from EMS providers to ED nurses and (2) the effectiveness of interventional strategies to improve these transitions. <b>Methods:</b> We conducted a mixed-methods systematic review that included searches of electronic databases (DARE, MEDLINE, EMBASE, Cochrane Central Register of Controlled Trials, CINAHL, Joanna Briggs Institute EBP), gray literature databases, organization websites, querying experts in emergency medicine, and the reference lists cited in included studies. All English-language studies of any design were eligible for inclusion. Two reviewers independently screened titles/abstracts and full-texts for inclusion and methodological quality, as well as extracted data from included studies. We used narrative and thematic synthesis to integrate and explore relationships within the data. <b>Results:</b> In total, 8,348 studies were screened and 130 selected for full text review. The final synthesis included 20 studies. Across 15 studies of moderate-to-high methodological quality, 6 factors influenced transitions: different professional lenses, operational constraints, professional relationships, information shared between the professions, components of the transition process, and patient presentation and involvement. Three interventions were identified in 6 methodologically weak studies: (1) transition guideline (DeMIST, Identification, Mechanism/Medical complaint, Injuries/Information related to the complaint, Signs, Treatment and Trends – Allergies, Medication, Background history, Other information [IMIST-AMBO]) with training, (2) mobile web-based technology (EMS smartphone and geographic information system location data), and (3) a new clinical role (ED ambulance off-load nurse dedicated to triaging and assessing EMS patients). There were mixed findings for the effectiveness of transition guidelines and the new clinical role. Mobile technology was seen positively by both EMS providers and ED nurses as helpful for better describing the pre-hospital context and for planning flow in the ED. <b>Conclusion:</b> While multimedia applications may potentially improve the handoff process, future intervention studies need to be rigorously designed. We recommend interdisciplinary training of EMS and ED staff in the use of flexible structured protocols, especially given review findings that interdisciplinary communication and relationships can be challenging.