cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4609893
title: Catalogue of patterns for board-based tools

description: Board-based software tools for managing collaborative work (e.g. Trello or Microsoft Planner) are highly configurable information systems. Their structure is based on boards that contain cards organized in lists. This structure allows users to organize a wide variety of formal or informal information and work processes in a very flexible way. However, this flexibility means that in every situation the user is required to make decisions to design a new board from scratch, which is not a straightforward task, specially if performed by non-technical users. We have carried out a study following an inductive approach consisting of analyzing 91 Trello board designs from board templates proposed by Trello users (see trello-scrapping.csv), which cover a wide variety of domains and use cases. From this analysis we characterize the following 8 patterns that are commonly used in board designs and are applicable to all board-based tools: Information or resources lifecycle Ordered Information Kanban Process Tasks Assigned Information Categorized Information Assigned Tasks Categorized Tasks About the analysis performed For the sake of the verifiability of the analysis performed, the sources used for the analysis and its details are also available at this repository: trello-scrapping.csv: In this csv file you can find the actual scrapping of www.trello.com/templates on the date that the paper was submitted (4th December 2020). This scrapping returns the whole list of templates that can be used in the cited workstream collaborative tool. The 91 templates analyzed by us in the paper were obtained with a similar scrapping about a year before (February 2019 approximately). In this file you can take a look at the actual 230 templates created in Trello (including the previous 91), with their names, link and description among other elements. We have added two new columns to the scrapping (these columns aren't obtained of the scrapping) in which we have clasified the templates in their corresponding pattern, as we did in "trello templates clasification.xlsx" only with the first 91 templates for writing the paper. In these two columns we separate between the 91 templates considered in the paper (previously clasified and isolated in "trello templates clasification.xlsx") and the new templates obtained in the second scrape after submitting the paper. trello templates clasification.xlsx: This file contains the clasification of the 91 analyzed Trello templates divided in three sheets. The first one show the raw clasification, with one row for each template and an "X" in the column of the pattern(s) in which it is classified. In the other sheets there are both summary tables in which you can clearly see the distribution of templates in our proposed patterns (how many templates are there for each pattern?) and the multiple pattern combinations (when a template contains more than one pattern).
DOI: 10.12751/g-node.tqbad8
title: Dataset of 'Distinct timescales of population coding across cortex'

description: Behavioral data and two-photon calcium imaging neural data recorded from AC and PPC of awake mice performing a sound localization task in a virtual reality environment.
description: IsDescribedBy: Runyan, C., Piasini, E., Panzeri, S. et al. Distinct timescales of population coding across cortex. Nature 548, 92–96 (2017). (https://doi.org/10.1038/nature23020)
description: IsReferencedBy: Valente, M., Pica, G., Runyan, C. A., Morcos, A. S., Harvey, C. D., Panzeri, S. (2020). Correlations enhance the behavioral readout of neural population activity in association cortex. bioRxiv: 2020.2004.2003.024133. (https://doi.org/10.1101/2020.04.03.024133)
DOI: 10.6084/m9.figshare.14212595
title: Data

description: Data related to figures for publication<br>
DOI: 10.6084/m9.figshare.14212595.v2
title: Data

description: Data related to figures for publication<br>
DOI: 10.6084/m9.figshare.14212595.v1
title: Data

description: Data related to figures for publication<br>
DOI: 10.6084/m9.figshare.14229530
title: Supplementary Material for: Immunoinflammatory Biomarkers in Serum Are Associated with Disease Severity in Atopic Dermatitis

description: <b><i>Background:</i></b> A growing body of evidence links various biomarkers to atopic dermatitis (AD). Still, little is known about the association of specific biomarkers to disease characteristics and severity in AD. <b><i>Objective:</i></b> To explore the relationship between various immunological markers in the serum and disease severity in a hospital cohort of AD patients. <b><i>Methods:</i></b> Outpatients with AD referred to the Department of Dermatology, Bispebjerg Hospital, Copenhagen, Denmark, were divided into groups based on disease severity (SCORAD). Serum levels of a preselected panel of immunoinflammatory biomarkers were tested for association with disease characteristics. Two machine learning models were developed to predict SCORAD from the measured biomarkers. <b><i>Results:</i></b> A total of 160 patients with AD were included; 53 (33.1%) with mild, 73 (45.6%) with moderate, and 34 (21.3%) with severe disease. Mean age was 29.2 years (range 6–70 years) and 84 (52.5%) were females. Numerous biomarkers showed a statistically significant correlation with SCORAD, with the strongest correlations seen for CCL17/thymus and activation-regulated chemokine (chemokine ligand-17/TARC) and CCL27/cutaneous T cell-attracting-chemokine (CTACK; Spearman <i>R</i> of 0.50 and 0.43, respectively, <i>p</i> &lt; 0.001). Extrinsic AD patients were more likely to have higher mean SCORAD (<i>p</i> &lt; 0.001), CCL17 (<i>p</i> &lt; 0.001), CCL26/eotaxin-3 (<i>p</i> &lt; 0.001), and eosinophil count (<i>p</i> &lt; 0.001) than intrinsic AD patients. Predictive models for SCORAD identified CCL17, CCL27, serum total IgE, IL-33, and IL-5 as the most important predictors for SCORAD, but with weaker associations than single cytokines. <b><i>Conclusions:</i></b> Specific immunoinflammatory biomarkers in the serum, mainly of the Th2 pathway, are correlated with disease severity in patients with AD. Predictive models identified biomarkers associated with disease severity but this finding warrants further investigation.
DOI: 10.6084/m9.figshare.14229530.v1
title: Supplementary Material for: Immunoinflammatory Biomarkers in Serum Are Associated with Disease Severity in Atopic Dermatitis

description: <b><i>Background:</i></b> A growing body of evidence links various biomarkers to atopic dermatitis (AD). Still, little is known about the association of specific biomarkers to disease characteristics and severity in AD. <b><i>Objective:</i></b> To explore the relationship between various immunological markers in the serum and disease severity in a hospital cohort of AD patients. <b><i>Methods:</i></b> Outpatients with AD referred to the Department of Dermatology, Bispebjerg Hospital, Copenhagen, Denmark, were divided into groups based on disease severity (SCORAD). Serum levels of a preselected panel of immunoinflammatory biomarkers were tested for association with disease characteristics. Two machine learning models were developed to predict SCORAD from the measured biomarkers. <b><i>Results:</i></b> A total of 160 patients with AD were included; 53 (33.1%) with mild, 73 (45.6%) with moderate, and 34 (21.3%) with severe disease. Mean age was 29.2 years (range 6–70 years) and 84 (52.5%) were females. Numerous biomarkers showed a statistically significant correlation with SCORAD, with the strongest correlations seen for CCL17/thymus and activation-regulated chemokine (chemokine ligand-17/TARC) and CCL27/cutaneous T cell-attracting-chemokine (CTACK; Spearman <i>R</i> of 0.50 and 0.43, respectively, <i>p</i> &lt; 0.001). Extrinsic AD patients were more likely to have higher mean SCORAD (<i>p</i> &lt; 0.001), CCL17 (<i>p</i> &lt; 0.001), CCL26/eotaxin-3 (<i>p</i> &lt; 0.001), and eosinophil count (<i>p</i> &lt; 0.001) than intrinsic AD patients. Predictive models for SCORAD identified CCL17, CCL27, serum total IgE, IL-33, and IL-5 as the most important predictors for SCORAD, but with weaker associations than single cytokines. <b><i>Conclusions:</i></b> Specific immunoinflammatory biomarkers in the serum, mainly of the Th2 pathway, are correlated with disease severity in patients with AD. Predictive models identified biomarkers associated with disease severity but this finding warrants further investigation.
DOI: 10.12751/g-node.g1xyem
title: Dataset of 'History-dependent variability in population dynamics during evidence accumulation in cortex'

description: Preprocessed behavioral data and two-photon calcium imaging neural data recorded from PPC of awake mice performing an evidence accumulation task in a virtual reality environment.
description: IsDescribedBy: Morcos, A., Harvey, C. History-dependent variability in population dynamics during evidence accumulation in cortex. Nat Neurosci 19, 1672–1681 (2016). (https://doi.org/10.1038/nn.4403)
description: IsReferencedBy: Valente, M., Pica, G., Runyan, C. A., Morcos, A. S., Harvey, C. D., Panzeri, S. (2020). Correlations enhance the behavioral readout of neural population activity in association cortex. bioRxiv: 2020.2004.2003.024133. (https://doi.org/10.1101/2020.04.03.024133)
DOI: 10.6084/m9.figshare.14229494
title: Supplementary Material for: Time-Varying mHAP-III Is the Most Accurate Predictor of Survival in Patients with Hepatocellular Carcinoma Undergoing Transarterial Chemoembolization

description: <b><i>Introduction:</i></b> The prognosis of patients undergoing transarterial chemoembolization (TACE) is extremely variable, and a confounding factor is that TACE is often repeated several times. We retrospectively evaluated the accuracy of different prognostic scores and staging systems in estimating overall survival (OS) in patients with hepatocellular carcinoma (HCC). <b><i>Methods:</i></b> An analysis considering prognostic models as time-varying variables was performed, calculating OS from the time of TACE to the time of the subsequent treatment. Total follow-up time for each patient was therefore split into several observation times accounting for each TACE procedure. Values of the likelihood ratio test (LRT) and Akaike information criterion (AIC) were used to compare different systems. Univariable and multivariable analyses were conducted to identify additional factors predictive of OS. We analyzed 1,610 TACE performed in 1,058 patients recorded in the Italian Liver Cancer database from 2008 through 2016. <b><i>Results:</i></b> The median OS of the enrolled patients was 41 months. According to LRT χ<sup>2</sup> and AIC values based on the time-varying analysis, mHAP-III achieved the best values (41.72 and 4,625.49, respectively, <i>p</i> &lt; 0.0001), indicating the highest predictive performance compared with all other scores (HAP, mHAP-II, ALBI, and pALBI) and staging systems (MELD, ITALICA, CLIP, MESH, MESIAH, JIS, HKLC, and BCLC). In the multivariable Cox proportional hazards model, mHAP-III maintained an independent effect on OS (hazard ratio 1.31, 95% CI: 1.10–1.55, <i>p</i> &lt; 0.0001). Time-varying age, alcoholic etiology, radiologic response to TACE, and performing ablation or surgery after TACE were additional significant variables resulting from the multivariable model. <b><i>Conclusion:</i></b> An innovative time-varying analysis revealed that mHAP-III was the most accurate model in predicting OS in patients with HCC undergoing TACE. Other clinical pre- and post-TACE variables were also found to be relevant for this prediction.
DOI: 10.6084/m9.figshare.14229494.v1
title: Supplementary Material for: Time-Varying mHAP-III Is the Most Accurate Predictor of Survival in Patients with Hepatocellular Carcinoma Undergoing Transarterial Chemoembolization

description: <b><i>Introduction:</i></b> The prognosis of patients undergoing transarterial chemoembolization (TACE) is extremely variable, and a confounding factor is that TACE is often repeated several times. We retrospectively evaluated the accuracy of different prognostic scores and staging systems in estimating overall survival (OS) in patients with hepatocellular carcinoma (HCC). <b><i>Methods:</i></b> An analysis considering prognostic models as time-varying variables was performed, calculating OS from the time of TACE to the time of the subsequent treatment. Total follow-up time for each patient was therefore split into several observation times accounting for each TACE procedure. Values of the likelihood ratio test (LRT) and Akaike information criterion (AIC) were used to compare different systems. Univariable and multivariable analyses were conducted to identify additional factors predictive of OS. We analyzed 1,610 TACE performed in 1,058 patients recorded in the Italian Liver Cancer database from 2008 through 2016. <b><i>Results:</i></b> The median OS of the enrolled patients was 41 months. According to LRT χ<sup>2</sup> and AIC values based on the time-varying analysis, mHAP-III achieved the best values (41.72 and 4,625.49, respectively, <i>p</i> &lt; 0.0001), indicating the highest predictive performance compared with all other scores (HAP, mHAP-II, ALBI, and pALBI) and staging systems (MELD, ITALICA, CLIP, MESH, MESIAH, JIS, HKLC, and BCLC). In the multivariable Cox proportional hazards model, mHAP-III maintained an independent effect on OS (hazard ratio 1.31, 95% CI: 1.10–1.55, <i>p</i> &lt; 0.0001). Time-varying age, alcoholic etiology, radiologic response to TACE, and performing ablation or surgery after TACE were additional significant variables resulting from the multivariable model. <b><i>Conclusion:</i></b> An innovative time-varying analysis revealed that mHAP-III was the most accurate model in predicting OS in patients with HCC undergoing TACE. Other clinical pre- and post-TACE variables were also found to be relevant for this prediction.
DOI: 10.17630/a3b1f172-dd54-4df1-a498-9951cfce9cee
title: Data underpinning: Halogen bonding with the halogenabenzene bird structure, halobenzene and halocyclopentadiene
DOI: 10.6084/m9.figshare.14229377.v1
title: Somatostatin interneurons activated by 5-HT2A receptor suppress slow oscillations in medial entorhinal cortex (De Filippo et al, 2021)

description: Data relative to "Somatostatin interneurons activated by 5-HT2A receptor suppress slow oscillations in medial entorhinal cortex" (De Filippo et al, 2021)
DOI: 10.5281/zenodo.4609892
title: Dataset related to the article "Circulating microRNA-15a associates with retinal damage in patients with early stage type 2 diabetes"

description: Dataset related to the article "Circulating microRNA-15a associates with retinal damage in patients with early stage type 2 diabetes" By Elena Sangalli 1†, Elena Tagliabue1†, Lucia La Sala1, Francesco Prattichizzo1,<br> AnnaChiara Uccellatore2, Daniela Spada1, Fabrizio Lorino1, Paola de Candia1,<br> Silvia Lupini 2, Laura Cantone3, Chiara Favero3, Paolo Madeddu4, Valentina Bollati 3,<br> Stefano Genovese5 and Gaia Spinetti 1*<br> 1 IRCCS MultiMedica, Milan, Italy, 2 Department of Biomedical and Clinical Science L. Sacco, University of Milan, Milan, Italy,<br> 3 EPIGET Lab, Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy, 4 Department of<br> Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom, 5 Centro Cardiologico<br> Monzino IRCCS, Milan, Italy <br> Front. Endocrinol., 23 April 2020 | https://doi.org/10.3389/fendo.2020.00254 Abstract Circulating microRNAs are potential biomarkers of type 2 diabetes mellitus (T2DM) and related complications. Here, we investigated the association of microRNA-15a with early retinal damage in T2DM. A cohort of untreated subjects screened for intermediate/high risk of T2DM, according to a score assessment questionnaire, and then recognized to have a normal (NGT) or impaired (IGT) glucose tolerance or T2DM was studied. The thickness of the ganglion cell complex (GCC), an early marker of retinal degeneration anteceding overt retinopathy was assessed by Optical Coherence Tomography. Total and extracellular vesicles (EV)-associated microRNA-15a quantity was measured in plasma by real time PCR. MicroRNA-15a level was significantly higher in subjects with IGT and T2DM compared with NGT. MicroRNA-15a abundance was correlated to body mass index and classical diabetes biomarkers, including fasting glucose, HbA1c, insulinemia, and HOMA-IR. Moreover, GCC thickness was significantly reduced in IGT and T2DM subjects compared with NGT controls. Importantly, total microRNA-15a correlated with GCC in IGT subjects, while in T2DM subjects, EV-microRNA-15a negatively correlated with GCC, suggesting that microRNA-15a may monitor initial retinal damage. The assessment of plasma microRNA-15a may help refining risk assessment and secondary prevention in patients with preclinical T2DM.
DOI: 10.5281/zenodo.4609891
title: Dataset related to the article "Circulating microRNA-15a associates with retinal damage in patients with early stage type 2 diabetes"

description: Dataset related to the article "Circulating microRNA-15a associates with retinal damage in patients with early stage type 2 diabetes" By Elena Sangalli 1†, Elena Tagliabue1†, Lucia La Sala1, Francesco Prattichizzo1,<br> AnnaChiara Uccellatore2, Daniela Spada1, Fabrizio Lorino1, Paola de Candia1,<br> Silvia Lupini 2, Laura Cantone3, Chiara Favero3, Paolo Madeddu4, Valentina Bollati 3,<br> Stefano Genovese5 and Gaia Spinetti 1*<br> 1 IRCCS MultiMedica, Milan, Italy, 2 Department of Biomedical and Clinical Science L. Sacco, University of Milan, Milan, Italy,<br> 3 EPIGET Lab, Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy, 4 Department of<br> Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom, 5 Centro Cardiologico<br> Monzino IRCCS, Milan, Italy <br> Front. Endocrinol., 23 April 2020 | https://doi.org/10.3389/fendo.2020.00254 Abstract Circulating microRNAs are potential biomarkers of type 2 diabetes mellitus (T2DM) and related complications. Here, we investigated the association of microRNA-15a with early retinal damage in T2DM. A cohort of untreated subjects screened for intermediate/high risk of T2DM, according to a score assessment questionnaire, and then recognized to have a normal (NGT) or impaired (IGT) glucose tolerance or T2DM was studied. The thickness of the ganglion cell complex (GCC), an early marker of retinal degeneration anteceding overt retinopathy was assessed by Optical Coherence Tomography. Total and extracellular vesicles (EV)-associated microRNA-15a quantity was measured in plasma by real time PCR. MicroRNA-15a level was significantly higher in subjects with IGT and T2DM compared with NGT. MicroRNA-15a abundance was correlated to body mass index and classical diabetes biomarkers, including fasting glucose, HbA1c, insulinemia, and HOMA-IR. Moreover, GCC thickness was significantly reduced in IGT and T2DM subjects compared with NGT controls. Importantly, total microRNA-15a correlated with GCC in IGT subjects, while in T2DM subjects, EV-microRNA-15a negatively correlated with GCC, suggesting that microRNA-15a may monitor initial retinal damage. The assessment of plasma microRNA-15a may help refining risk assessment and secondary prevention in patients with preclinical T2DM.
DOI: 10.6084/m9.figshare.14229377
title: test

description: test
DOI: 10.6084/m9.figshare.14229377.v3
title: test

description: test
DOI: 10.6084/m9.figshare.14229377.v2
title: Somatostatin interneurons activated by 5-HT2A receptor suppress slow oscillations in medial entorhinal cortex (De Filippo et al, 2021)

description: Data relative to "Somatostatin interneurons activated by 5-HT2A receptor suppress slow oscillations in medial entorhinal cortex" (De Filippo et al, 2021)
DOI: 10.5281/zenodo.4605957
title: LedLamp_Pearson101_rawCurrentPhase_Info_V1

description: This file provides the description of the LedLamp_Pearson101_rawCurrentPhase_Data_V1.csv data file.
description: This project 18NRM05 SupraEMI has received funding from the EMPIR programme co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation programme.
DOI: 10.5281/zenodo.4605956
title: LedLamp_Pearson101_rawCurrentPhase_Info_V1

description: This file provides the description of the LedLamp_Pearson101_rawCurrentPhase_Data_V1.csv data file.
description: This project 18NRM05 SupraEMI has received funding from the EMPIR programme co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation programme.
DOI: 10.5281/zenodo.4605906
title: LedLamp_Pearson101_rawCurrentPhase_Data_V1.csv

description: The raw data of the current emission associated to a LED lamp are in this data file. The LED lamp is screwed in a socket with power cable. The current is recorded at the output of a Pearson 101 current monitor that were placed on the phase cable. The LISN is kept in the setup. Data are recorded for 10 seconds with 500 kSa/s sampling frequency. In the csv file, one column is the time, the other is the voltage value (proportional to the current flowing into the current monitor).
description: This project 18NRM05 SupraEMI has received funding from the EMPIR programme co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation programme.
DOI: 10.5281/zenodo.4605905
title: LedLamp_Pearson101_rawCurrentPhase_Data_V1.csv

description: The raw data of the current emission associated to a LED lamp are in this data file. The LED lamp is screwed in a socket with power cable. The current is recorded at the output of a Pearson 101 current monitor that were placed on the phase cable. The LISN is kept in the setup. Data are recorded for 10 seconds with 500 kSa/s sampling frequency. In the csv file, one column is the time, the other is the voltage value (proportional to the current flowing into the current monitor).
description: This project 18NRM05 SupraEMI has received funding from the EMPIR programme co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation programme.
DOI: 10.5281/zenodo.4605862
title: LedLamp_VoltagePhaseHarmonicsQPk_Info_V1

description: This file is the description of the content of the LedLamp_VoltagePhaseHarmonicsQPk_Data_V1.csv data.
description: This project 18NRM05 SupraEMI has received funding from the EMPIR programme co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation programme.
DOI: 10.5281/zenodo.4605861
title: LedLamp_VoltagePhaseHarmonicsQPk_Info_V1

description: This file is the description of the content of the LedLamp_VoltagePhaseHarmonicsQPk_Data_V1.csv data.
description: This project 18NRM05 SupraEMI has received funding from the EMPIR programme co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation programme.
DOI: 10.6084/m9.figshare.12902396.v1
title: Hydraulics and rheology of natural hyperconcentrated flows from Draix-Bleone observatory, French Alps

description: We present an experimental study of natural hyperconcentrated flows of fine sediment from Draix-Bleone observatory. Suspensions of volumic concentration ranging from 29 to 44% were tested in a rheometer and exhibit a Herschel–Bulkley behaviour. Suspensions of volumic concentration ranging from 0 to 31% were tested in flume experiments with varying slope and discharge. Velocity profile measurements indicate a transition from turbulent Newtonian flows to laminar non-Newtonian flows as the concentration increases. Rheological data and flume velocity profiles consistently suggest that a yield stress appears for volumic concentrations higher than 26–29%. Finally, the relation between the Reynolds number and the friction coefficient computed for all flume experiments is found to follow a unique trend, independently of the concentration. This allows the laminar, transitional and turbulent regimes to be identified, and suggests that transitional to laminar conditions can be observed in the field during hyperconcentrated events.