cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4643297
title: Warming and elevated CO2 intensify drought and recovery responses of grassland carbon allocation to soil respiration

description: We provide data and the code for ecosystem CO<sub>2</sub> flux, soil respired CO<sub>2,</sub> and <sup>13</sup>CO<sub>2</sub>. The measurements were made under drought, elevated CO2, and warming treatment in grassland during summer 2017. The file 'Ecosystemfluxes.csv' contains data of ecosystem fluxes (Gross primary productivity; Ecosystem respiration; Net ecosystem productivity). The file 'C13remaining.csv' contains data of excess <sup>13</sup>C in the plant, soil, and soil respiration 8 days after <sup>13</sup>CO<sub>2</sub> pulse labeling. The file 'dynamics.csv' contains data of soil respired CO2, 13CO2, soil water content, soil temperature and PAR. The R file 'Ecosystem_Fluxes.R' explains and plots the data from 'Ecosystemfluxes.csv' The R file 'C13_remaining.R' explains and plots the data from 'C13remaining.csv'. The R file 'Time_dynamics.R' explains and plots the data from 'dynamics.csv'. In addition, this R file also provides the script for time series regression analysis between response variables (soil respired CO<sub>2</sub> and soil respired <sup>13</sup>CO<sub>2</sub>) and environmental drivers (soil water content, soil temperature, and PAR).
DOI: 10.5281/zenodo.4643296
title: Warming and elevated CO2 intensify drought and recovery responses of grassland carbon allocation to soil respiration

description: We provide data and the code for ecosystem CO<sub>2</sub> flux, soil respired CO<sub>2,</sub> and <sup>13</sup>CO<sub>2</sub>. The measurements were made under drought, elevated CO2, and warming treatment in grassland during summer 2017. The file 'Ecosystemfluxes.csv' contains data of ecosystem fluxes (Gross primary productivity; Ecosystem respiration; Net ecosystem productivity). The file 'C13remaining.csv' contains data of excess <sup>13</sup>C in the plant, soil, and soil respiration 8 days after <sup>13</sup>CO<sub>2</sub> pulse labeling. The file 'dynamics.csv' contains data of soil respired CO2, 13CO2, soil water content, soil temperature and PAR. The R file 'Ecosystem_Fluxes.R' explains and plots the data from 'Ecosystemfluxes.csv' The R file 'C13_remaining.R' explains and plots the data from 'C13remaining.csv'. The R file 'Time_dynamics.R' explains and plots the data from 'dynamics.csv'. In addition, this R file also provides the script for time series regression analysis between response variables (soil respired CO<sub>2</sub> and soil respired <sup>13</sup>CO<sub>2</sub>) and environmental drivers (soil water content, soil temperature, and PAR).
DOI: 10.5281/zenodo.4643731
title: deLearyous

description: The deLearyous dataset is a Dutch (Flemish) dataset for emotion classification following the framework of Leary's Rose, also known as the Interpersonal Circumplex. The dataset contains 11 conversations that were annotated on the sentence level with their position on Leary's Rose, in function of the two defining dimensions: "dominance", and "affinity". In addition to having been annotated with discrete class labels (8 octants and a "neutral" class), the dataset also contains fine-grained annotations, with continuous values across the defining axes.
DOI: 10.5281/zenodo.4643730
title: deLearyous

description: The deLearyous dataset is a Dutch (Flemish) dataset for emotion classification following the framework of Leary's Rose, also known as the Interpersonal Circumplex. The dataset contains 11 conversations that were annotated on the sentence level with their position on Leary's Rose, in function of the two defining dimensions: "dominance", and "affinity". In addition to having been annotated with discrete class labels (8 octants and a "neutral" class), the dataset also contains fine-grained annotations, with continuous values across the defining axes.
DOI: 10.6084/m9.figshare.14134994
title: Metadata record for: The photosynthetic pathways of plant species surveyed in Australia’s national terrestrial monitoring network

description: This dataset contains key characteristics about the data described in the Data Descriptor The photosynthetic pathways of plant species surveyed in Australia’s national terrestrial monitoring network. <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.14134994.v1
title: Metadata record for: The photosynthetic pathways of plant species surveyed in Australia’s national terrestrial monitoring network

description: This dataset contains key characteristics about the data described in the Data Descriptor The photosynthetic pathways of plant species surveyed in Australia’s national terrestrial monitoring network. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.5281/zenodo.4643756
title: Personae corpus

description: The Personae corpus was collected for experiments in Authorship Attribution and Personality Prediction. It consists of 145 Dutch-language essays, written by 145 different students (BA in Linguistics and Literature at the University of Antwerp, Belgium). Each student also took an online MBTI personality test, allowing personality prediction experiments. The corpus was controlled for topic, register, genre, age, and education level. We make available the original texts, a syntactically annotated version of the texts, and the metadata.
DOI: 10.5281/zenodo.4643755
title: Personae corpus

description: The Personae corpus was collected for experiments in Authorship Attribution and Personality Prediction. It consists of 145 Dutch-language essays, written by 145 different students (BA in Linguistics and Literature at the University of Antwerp, Belgium). Each student also took an online MBTI personality test, allowing personality prediction experiments. The corpus was controlled for topic, register, genre, age, and education level. We make available the original texts, a syntactically annotated version of the texts, and the metadata.
DOI: 10.5281/zenodo.4638948
title: TwiSty: a multilingual Twitter Stylometry corpus for gender and personality profiling

description: TwiSty is a corpus developed for research in author profiling. It contains personality (MBTI) and gender annotations for a total of 18,168 authors spanning six languages. We distribute the Twitter ids of these authors as well as the ids of their available tweets at the time of corpus development. The tweets have undergone language identification and can be found in a Confirmed (as belonging to the language in which the author is situated) and Other category.
DOI: 10.5281/zenodo.4638947
title: TwiSty: a multilingual Twitter Stylometry corpus for gender and personality profiling

description: TwiSty is a corpus developed for research in author profiling. It contains personality (MBTI) and gender annotations for a total of 18,168 authors spanning six languages. We distribute the Twitter ids of these authors as well as the ids of their available tweets at the time of corpus development. The tweets have undergone language identification and can be found in a Confirmed (as belonging to the language in which the author is situated) and Other category.
DOI: 10.6084/m9.figshare.14332952.v1
title: Thirty years of genetic progress combined with seed ethylene priming improved drought resistance of wheat through long-term drought stress memory

description: data for unpublished manuscript review only "Thirty years of genetic progress combined with seed ethylene priming improved drought resistance of wheat through long-term drought stress memory"provided in a opju format
DOI: 10.6084/m9.figshare.14332952
title: Thirty years of genetic progress combined with seed ethylene priming improved drought resistance of wheat through long-term drought stress memory

description: data for unpublished manuscript review only "Thirty years of genetic progress combined with seed ethylene priming improved drought resistance of wheat through long-term drought stress memory"provided in a opju format
DOI: 10.5281/zenodo.4643478
title: Green's function stores for Coso Geothermal area and Mojave area

description: Green's function stores calculated using the Pyrocko fomosto tool and the QSEIS reflectivity method. Stores are valid for the Mojave area, Coso geothermal area and the crust2 tile representative of the Californian area. Calculated at 14 Hz sampling rate.
DOI: 10.5281/zenodo.4643477
title: Green's function stores for Coso Geothermal area and Mojave area

description: Green's function stores calculated using the Pyrocko fomosto tool and the QSEIS reflectivity method. Stores are valid for the Mojave area, Coso geothermal area and the crust2 tile representative of the Californian area. Calculated at 14 Hz sampling rate.
DOI: 10.5281/zenodo.4620864
title: Early Visual Saliency Based On Isolated Optimal Features

description: The<strong> "Psychophysics" folder </strong>contains <strong>four .XLSX files,</strong> each corresponding to one of the psychophysical measurements of our study (data of five subjects), and <strong>twenty .MAT files </strong>for the condition of Experiment 1 with one single feature (20 subjects). Each. MAT file contains: Column 1: number of trials Column 2: condition (1 = Salient Pattern DX , 2 = Salient Pattern SX) Column 3: subject answer (1 = SX, 2 = DX) Column 4: subject preference (1 = Salient pattern, 0 = Non-salient pattern) Column 5: name of pattern1 showed Column 6: name of pattern2 showed Column 7: Reaction times (sec) The <strong>"Eye Movements" folder</strong> contains <strong>twenty-eight .EDF files</strong> (four files for seven participants). The EyeLink EDF* files contain many types of data, including eye movement events (BLINKS, FIXATIONS, SACCADES), messages (including the “default” ones by Eyelink, and the custom made ones, defining the single trial’s specific properties: this type of messages starts with “Trialinfo”), button presses, and eye-data samples. Here we have used the (calibrated) x and y position data of the right eye. Custom-made matlab scripts (available upon request to the authors) have been used to parse the data into trials, filter eye position and estimate eye velocity, select exploitable trials, detect and analyze saccades, etc. The array containing the relevant parameters for all the saccades analyzed in the manuscript (for each subject) is available in the <strong>mat file </strong>(of the type “SXX_TOT.mat”). The EDF file format is a highly compressed binary format, intended for use with SR Research EyeLink viewers and applications. EDF files are not readable, they need to be transformed into a readable format (typically ASCII). A tool to transform edf files into ascii is freely available on the SR Research Support online forum site: https://download.sr-support.com/dispdoc/page25.html. The <strong>subfolder "Psychophysics_control" </strong>contains <strong>seven .MAT files.</strong> The .MAT files of the type “SXX_psychophysics.mat” contain, for each participant XX, 400-raws (one per trial): Column 1: duration of presentation of the target and distractor compounds (26ms) Column 2: Label for response correct (1=saccade to the target; 0=saccade to the distractor) Column 3: size, in pixels, of each model-derived <em>feature</em> Column 4: position of the salient compound or target (1=Right; 0=Left) Column 5: SNR, or fraction of optimal features within the 10-features compound
DOI: 10.5281/zenodo.4620863
title: Early Visual Saliency Based On Isolated Optimal Features

description: The<strong> "Psychophysics" folder </strong>contains <strong>four .XLSX files,</strong> each corresponding to one of the psychophysical measurements of our study (data of five subjects), and <strong>twenty .MAT files </strong>for the condition of Experiment 1 with one single feature (20 subjects). Each. MAT file contains: Column 1: number of trials Column 2: condition (1 = Salient Pattern DX , 2 = Salient Pattern SX) Column 3: subject answer (1 = SX, 2 = DX) Column 4: subject preference (1 = Salient pattern, 0 = Non-salient pattern) Column 5: name of pattern1 showed Column 6: name of pattern2 showed Column 7: Reaction times (sec) The <strong>"Eye Movements" folder</strong> contains <strong>twenty-eight .EDF files</strong> (four files for seven participants). The EyeLink EDF* files contain many types of data, including eye movement events (BLINKS, FIXATIONS, SACCADES), messages (including the “default” ones by Eyelink, and the custom made ones, defining the single trial’s specific properties: this type of messages starts with “Trialinfo”), button presses, and eye-data samples. Here we have used the (calibrated) x and y position data of the right eye. Custom-made matlab scripts (available upon request to the authors) have been used to parse the data into trials, filter eye position and estimate eye velocity, select exploitable trials, detect and analyze saccades, etc. The array containing the relevant parameters for all the saccades analyzed in the manuscript (for each subject) is available in the <strong>mat file </strong>(of the type “SXX_TOT.mat”). The EDF file format is a highly compressed binary format, intended for use with SR Research EyeLink viewers and applications. EDF files are not readable, they need to be transformed into a readable format (typically ASCII). A tool to transform edf files into ascii is freely available on the SR Research Support online forum site: https://download.sr-support.com/dispdoc/page25.html. The <strong>subfolder "Psychophysics_control" </strong>contains <strong>seven .MAT files.</strong> The .MAT files of the type “SXX_psychophysics.mat” contain, for each participant XX, 400-raws (one per trial): Column 1: duration of presentation of the target and distractor compounds (26ms) Column 2: Label for response correct (1=saccade to the target; 0=saccade to the distractor) Column 3: size, in pixels, of each model-derived <em>feature</em> Column 4: position of the salient compound or target (1=Right; 0=Left) Column 5: SNR, or fraction of optimal features within the 10-features compound
DOI: 10.6084/m9.figshare.12845505.v1
title: Sound discrimination and explicit mapping of sounds to meanings in preschoolers with and without developmental language disorder

description: <i>Purpose:</i> To investigate links between sound discrimination and explicit sound-meaning mapping by preschoolers with and without developmental language disorder (DLD). <i>Method:</i> We tested 26 children with DLD and 26 age- and gender-matched peers with typical language development (TLD). Inclusion was determined via results of standardised assessments of language and cognitive skills and a hearing screening. Children completed two computerised tasks designed to assess pitch and duration discrimination and explicit mapping of pitch- and duration-contrasting sounds to objects. <i>Result:</i> Children with TLD more successfully mapped pitch categories to meanings than children with DLD. Children with TLD also showed significantly better overall sound discrimination than children with DLD. Sound-discrimination scores were marginally associated with overall sound-meaning mapping in multivariate analyses of covariance (MANCOVAs). Correlation tests indicated significant associations between discrimination and mapping, with moderate to large effect sizes. Thus, significant sound-discrimination differences between the groups may contribute to differences in sound-meaning-mapping accuracy. <i>Conclusion:</i> Children with DLD had more difficulty mapping sound categories to meanings than TLD peers. We discuss possible explanations for this finding and implications for theoretical accounts of the aetiology of DLD.
DOI: 10.6084/m9.figshare.14332961
title: Supplementary Material for: Risk Factors for Development of Acute Kidney Injury in COVID-19 Patients: A Retrospective Observational Cohort Study

description: <b><i>Introduction:</i></b> Acute kidney injury (AKI) in coronavirus infection disease (COVID-19) is associated with disease severity. We aimed to evaluate risk factors associated with AKI beyond COVID-19 severity. <b><i>Methods:</i></b> A retrospective observational study of COVID-19 patients admitted to a tertiary hospital in Singapore. Logistic regression was used to evaluate associations between risk factors and AKI (based on Kidney Disease Improving Global Outcomes criteria). Dominance analysis was performed to evaluate the relative importance of individual factors. <b><i>Results:</i></b> Seven hundred seven patients were included. Median age was 46 years (interquartile range [IQR]: 29–57) and 57% were male with few comorbidities (93%, Charlson Comorbidity Index [CCI] &lt;1). AKI occurred in 57 patients (8.1%); 39 were in AKI stage 1 (68%), 9 in stage 2 (16%), and 9 in stage 3 (16%). Older age (adjusted odds ratio [aOR] 1.04; 95% confidence interval [CI]: 1.01–1.07), baseline use of angiotensin-converting enzyme inhibitor (ACE-I) or angiotensin receptor blocker (ARB) (aOR 2.86; 95% CI: 1.20–6.83), exposure to vancomycin (aOR 5.84; 95% CI: 2.10–16.19), use of nonsteroidal anti-inflammatory drugs (NSAIDs) (aOR 3.04; 95% CI: 1.15–8.05), and severe COVID-19 with hypoxia (aOR 13.94; 95% CI: 6.07–31.98) were associated with AKI in the multivariable logistic regression model. The 3 highest ranked predictors were severe COVID-19 with hypoxia, vancomycin exposure, and age, accounting for 79.6% of the predicted variance (41.6, 23.1, and 14.9%, respectively) on dominance analysis. <b><i>Conclusion:</i></b> Severe COVID-19 is independently associated with increased risk of AKI beyond premorbid conditions and age. Appropriate avoidance of vancomycin and NSAIDs are potentially modifiable means to prevent AKI in patients with COVID-19.
DOI: 10.6084/m9.figshare.14332961.v1
title: Supplementary Material for: Risk Factors for Development of Acute Kidney Injury in COVID-19 Patients: A Retrospective Observational Cohort Study

description: <b><i>Introduction:</i></b> Acute kidney injury (AKI) in coronavirus infection disease (COVID-19) is associated with disease severity. We aimed to evaluate risk factors associated with AKI beyond COVID-19 severity. <b><i>Methods:</i></b> A retrospective observational study of COVID-19 patients admitted to a tertiary hospital in Singapore. Logistic regression was used to evaluate associations between risk factors and AKI (based on Kidney Disease Improving Global Outcomes criteria). Dominance analysis was performed to evaluate the relative importance of individual factors. <b><i>Results:</i></b> Seven hundred seven patients were included. Median age was 46 years (interquartile range [IQR]: 29–57) and 57% were male with few comorbidities (93%, Charlson Comorbidity Index [CCI] &lt;1). AKI occurred in 57 patients (8.1%); 39 were in AKI stage 1 (68%), 9 in stage 2 (16%), and 9 in stage 3 (16%). Older age (adjusted odds ratio [aOR] 1.04; 95% confidence interval [CI]: 1.01–1.07), baseline use of angiotensin-converting enzyme inhibitor (ACE-I) or angiotensin receptor blocker (ARB) (aOR 2.86; 95% CI: 1.20–6.83), exposure to vancomycin (aOR 5.84; 95% CI: 2.10–16.19), use of nonsteroidal anti-inflammatory drugs (NSAIDs) (aOR 3.04; 95% CI: 1.15–8.05), and severe COVID-19 with hypoxia (aOR 13.94; 95% CI: 6.07–31.98) were associated with AKI in the multivariable logistic regression model. The 3 highest ranked predictors were severe COVID-19 with hypoxia, vancomycin exposure, and age, accounting for 79.6% of the predicted variance (41.6, 23.1, and 14.9%, respectively) on dominance analysis. <b><i>Conclusion:</i></b> Severe COVID-19 is independently associated with increased risk of AKI beyond premorbid conditions and age. Appropriate avoidance of vancomycin and NSAIDs are potentially modifiable means to prevent AKI in patients with COVID-19.
DOI: 10.6084/m9.figshare.14332970
title: Validation of WEMWBS for Sri Lanka.xlsx

description: The dataset includes total scores obtained for WEMWBS, WHO-5, PHQ-9 and K10 scales by a Sinhala speaking community sample in Sri Lanka
DOI: 10.6084/m9.figshare.14332970.v1
title: Validation of WEMWBS for Sri Lanka.xlsx

description: The dataset includes total scores obtained for WEMWBS, WHO-5, PHQ-9 and K10 scales by a Sinhala speaking community sample in Sri Lanka
DOI: 10.5517/cc11z85g
title: CCDC 982395: Experimental Crystal Structure Determination

description: Related Article: Daniel Richard Roberts, Richard Raymond Schartman, Chenkou Wei|2013|U.S.Patents|||
DOI: 10.5517/ccdc.csd.cc22dpy4
title: CCDC 1918836: Experimental Crystal Structure Determination

description: Related Article: Sen Zhou, Ze-Ying Sun, Kongying Zhu, Wentao Zhao, Xiangyang Tang, Minjie Guo, Guangwei Wang|2021|Org.Lett.|23|2205|doi:10.1021/acs.orglett.1c00352
DOI: 10.15161/oar.it/73614
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.5517/ccdc.csd.cc22hnfp
title: CCDC 1921672: Experimental Crystal Structure Determination

description: Related Article: Justin D. Northrup, Jesse A. Wiener, Matthew F. D. Hurley, Chun-Feng David Hou, Taylor M. Keller, Richard H. G. Baxter, Michael J. Zdilla, Vincent A. Voelz, Christian E. Schafmeister|2021|J.Org.Chem.|86|4867|doi:10.1021/acs.joc.1c00116
DOI: 10.5517/ccdc.csd.cc23x48g
title: CCDC 1963455: Experimental Crystal Structure Determination

description: Related Article: Sen Zhou, Ze-Ying Sun, Kongying Zhu, Wentao Zhao, Xiangyang Tang, Minjie Guo, Guangwei Wang|2021|Org.Lett.|23|2205|doi:10.1021/acs.orglett.1c00352
DOI: 10.6084/m9.figshare.14332958
title: Supplementary Material for: Kidney Biopsy in Type 2 Diabetes: A Multicenter Cross-Sectional Study

description: <b><i>Introduction:</i></b> Kidney biopsies (KBs) are performed in patients with type 2 diabetes (T2D) to diagnose non-diabetic or hypertensive kidney disease (NDHKD) potentially requiring specific management compared to diabetic and or hypertensive nephropathy (absence of NDHKD). Indications for KB are based on the presence of atypical features compared to the typical course of diabetic nephropathy. In this study, we assessed the association of different patterns of atypical features, or KB indications, with NDHKD. <b><i>Methods:</i></b> Native KBs performed in patients with T2D were analyzed. Data were collected from the patients’ records. KB indications were determined according to the presence of different atypical features considered sequentially: (1) presence of any feature suggesting NDHKD which is not among the following ones, (2) recent onset of nephrotic syndrome, (3) low or rapidly declining estimated glomerular filtration rate (eGFR), (4) rapid increase in proteinuria, (5) short duration of diabetes, (6) presence of hematuria, or (7) normal retinal examination. <b><i>Results:</i></b> Among the 463 KBs analyzed, NDHKD was diagnosed in 40% of the total population and 54, 40, 24, and 7% of the KBs performed for indications 1–4 respectively. Conversely, no patient who underwent KB for indications 5–7 displayed NDHKD. Logistic regression analyses identified eGFR<sub>CKD-EPI</sub> &gt;15 mL/min/1.73 m<sup>2</sup>, urinary protein-to-Cr ratio &lt;0.3 g/mmol, hematuria, HbA1c &lt;7%, and diabetes duration &lt;5 years as predictors of NDHKD, independently from the indication group. <b><i>Conclusion:</i></b> NDHKD is frequent in T2D. Despite the association of hematuria with NDHKD, our results suggest that presence of hematuria and absence of DR are insufficient to indicate KB in the absence of concurrent atypical features. Conversely, rapid progression of proteinuria and rapid deterioration of eGFR are major signals of NDHKD.