cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24248980
title: Supplementary Material for: Impact of Intensity of Continuous Renal Replacement Therapy on Duration of Ventilation in Critically Ill Patients - A Secondary Analysis of the RENAL Trial

description: Introduction: More intensive renal replacement therapy (RRT) has been associated with prolonged mechanical ventilation (MV). However, such finding may be dependent on RRT modality. We hypothesized that, when using continuous renal replacement therapy (CRRT), RRT intensity would not be associated with prolonged MV. Methods: In a secondary analysis of the Randomized Evaluation of Normal vs. Augmented Level (RENAL) Replacement trial comparing different CRRT intensities, we applied Fine-Gray competing risk analysis with time to successful extubation within 28 days as primary outcome. Results: We studied 531 patients in the higher intensity and 551 in the lower intensity group. Higher intensity patients had more hypophosphatemia (66.7% vs. 58.1%; p = 0.004) and more days with hypophosphatemia (2.2 ± 2.8 vs. 1.6 ± 2.2; p &lt; 0.001). There was no difference in the number of patients extubated within 28 days (60.1% vs. 62.4%; adjusted subdistribution hazard ratio [SHR], 0.95 [95% CI, 0.86 to 1.06]) or time to extubation (8 [5 - 16] vs. 8 [5 - 15] days; adjusted median difference [MD], 0.65 [95% CI, -0.41 to 1.70]). Among patients from the upper tertile of days with hypophosphatemia, higher intensity CRRT was associated with a lower chance of successful extubation within 28 days (SHR, 0.67 [95% CI, 0.55 to 0.82]; p for heterogeneity = 0.013). Conclusions: In the RENAL trial, higher intensity CRRT was not associated with delayed extubation. However, it was associated with a greater rate of hypophosphatemia and more days with hypophosphatemia was associated with a lower chance of successful extubation.
DOI: 10.6084/m9.figshare.24248980.v1
title: Supplementary Material for: Impact of Intensity of Continuous Renal Replacement Therapy on Duration of Ventilation in Critically Ill Patients - A Secondary Analysis of the RENAL Trial

description: Introduction: More intensive renal replacement therapy (RRT) has been associated with prolonged mechanical ventilation (MV). However, such finding may be dependent on RRT modality. We hypothesized that, when using continuous renal replacement therapy (CRRT), RRT intensity would not be associated with prolonged MV. Methods: In a secondary analysis of the Randomized Evaluation of Normal vs. Augmented Level (RENAL) Replacement trial comparing different CRRT intensities, we applied Fine-Gray competing risk analysis with time to successful extubation within 28 days as primary outcome. Results: We studied 531 patients in the higher intensity and 551 in the lower intensity group. Higher intensity patients had more hypophosphatemia (66.7% vs. 58.1%; p = 0.004) and more days with hypophosphatemia (2.2 ± 2.8 vs. 1.6 ± 2.2; p &lt; 0.001). There was no difference in the number of patients extubated within 28 days (60.1% vs. 62.4%; adjusted subdistribution hazard ratio [SHR], 0.95 [95% CI, 0.86 to 1.06]) or time to extubation (8 [5 - 16] vs. 8 [5 - 15] days; adjusted median difference [MD], 0.65 [95% CI, -0.41 to 1.70]). Among patients from the upper tertile of days with hypophosphatemia, higher intensity CRRT was associated with a lower chance of successful extubation within 28 days (SHR, 0.67 [95% CI, 0.55 to 0.82]; p for heterogeneity = 0.013). Conclusions: In the RENAL trial, higher intensity CRRT was not associated with delayed extubation. However, it was associated with a greater rate of hypophosphatemia and more days with hypophosphatemia was associated with a lower chance of successful extubation.
DOI: 10.25403/upresearchdata.24324880.v1
title: Analysis of faecal hormone metabolite (fAM, fPM, and fGCM) concentrations and diet

description: Dataset containing hormone concentrations of faecal samples collected from African clawless otters (reproductive and stress hormones) across South Africa. Included in the dataset also, is the environmental and anthropogenic factors used to determine the potential natural and anthropogenic drivers of adrenocortical activity in African clawless otters (Aonyx capensis) by evaluating faecal glucocorticoid metabolite concentrations.
DOI: 10.25403/upresearchdata.24324880
title: Analysis of faecal hormone metabolite (fAM, fPM, and fGCM) concentrations and diet

description: Dataset containing hormone concentrations of faecal samples collected from African clawless otters (reproductive and stress hormones) across South Africa. Included in the dataset also, is the environmental and anthropogenic factors used to determine the potential natural and anthropogenic drivers of adrenocortical activity in African clawless otters (Aonyx capensis) by evaluating faecal glucocorticoid metabolite concentrations.
DOI: 10.6084/m9.figshare.24346768
title: Duroc_ACC_50K.vcf.gz

description: 50K SNP sequencing data from Sus scrofa 11.1 genome were used to explore potential loci and candidate genes associated with ACC and analyze their genetic mechanisms
DOI: 10.5281/zenodo.10017844
title: Keccak variant data

description: This dataset contains all data referring to the Keccak implementation used in the optimized variant of Elephant.
Specifically, it contains:

The source code after being processed by CIL
The CIL code after being manually processed further
The while+ code after being transformed from CIL
The while+ code, after being manually processed further
The annotated program resulting from the first pass derivation rules being applied on the while+ code
The annotated programs resulting from the second pass derivation rules being applied on the results of the first pass
Note that the second pass derivation trees also contain a small amount of natural language, to explain what is being done, apart from simply applying the derivation rules.
 
This new version contains files that were previously missing.
DOI: 10.6084/m9.figshare.24346783
title: <b>Comparative study on health and prognosis of periodontal soft tissue in traditional and minimally invasive restorations using microscopy</b>

description: The clinical data of 84 patients who underwent restorative treatment for dental caries were retrospectively analyzed. Patients were categorized into two groups based on the type of restoration they received. The control group (n=40) (CG) received conventional restorative treatment and the observation group (n=44) (OG) received microscopic minimally invasive restorations. Restorative outcomes, marginal closeness, periodontal soft tissue health (OHIP-14 score), prognostic results, satisfaction rate, and physician's postural health were compared between the two groups.
DOI: 10.6084/m9.figshare.24346783.v1
title: <b>Comparative study on health and prognosis of periodontal soft tissue in traditional and minimally invasive restorations using microscopy</b>

description: The clinical data of 84 patients who underwent restorative treatment for dental caries were retrospectively analyzed. Patients were categorized into two groups based on the type of restoration they received. The control group (n=40) (CG) received conventional restorative treatment and the observation group (n=44) (OG) received microscopic minimally invasive restorations. Restorative outcomes, marginal closeness, periodontal soft tissue health (OHIP-14 score), prognostic results, satisfaction rate, and physician's postural health were compared between the two groups.
DOI: 10.21954/ou.rd.24317068
title: UK ESOL Teachers' Wellbeing and Emotion Labour (Phase 2)

description: Phase 2 (Interviews)This PhD project relates to the wellbeing, workplace wellbeing, and emotion labour of ESOL teachers and volunteers (i.e. those teaching English to migrant and refugee-background learners) in the UK. The dataset for this phase of the project contains transcripts from semi-structured interviews collected online between May and July 2023. The interview questions related to the ESOL teachers' professional duties, wellbeing, workplace wellbeing, and emotion labour in ESOL teaching. Transcripts 1,2,3, and 4 are the pilot interview files and Transcripts 5, 6, 7, 8, 9, and 10 are the main study interview files. An approach to transcription and redaction file has also been provided for this dataset.
DOI: 10.21954/ou.rd.24317068.v1
title: UK ESOL Teachers' Wellbeing and Emotion Labour (Phase 2)

description: Phase 2 (Interviews)This PhD project relates to the wellbeing, workplace wellbeing, and emotion labour of ESOL teachers and volunteers (i.e. those teaching English to migrant and refugee-background learners) in the UK. The dataset for this phase of the project contains transcripts from semi-structured interviews collected online between May and July 2023. The interview questions related to the ESOL teachers' professional duties, wellbeing, workplace wellbeing, and emotion labour in ESOL teaching. Transcripts 1,2,3, and 4 are the pilot interview files and Transcripts 5, 6, 7, 8, 9, and 10 are the main study interview files. An approach to transcription and redaction file has also been provided for this dataset.
DOI: 10.5523/bris.1maxt1atfbrht23rm3qyy1nujr
title: Data from Groghanz et al. Testing hypotheses of pteraspid heterostracan feeding using computational fluid dynamics. Journal of Vertebrate Paleontology

description: This dataset contains synchrotron scan datasets, 3D models of pteraspid heterostracan oral plates, 2D denticle models and CFD analysis files for ANSYS-Fluent. The data accompanies the following paper: Madleen Grohganz, Humberto G. Ferron, Zerina Johanson and Philip C. J. Donoghue. 2023. Testing hypotheses of pteraspid heterostracan feeding using computational fluid dynamics. Journal of Vertebrate Paleontology
DOI: 10.15128/r2f4752g77z
title: The critical current of high temperature superconducting inclined-substrate coated conductors under biaxial strain [dataset]

description: A new biaxial strain probe which allows in situ x-strain variation and independent fixed y-strains has been commissioned and biaxial strain measurements of critical current density (Jc) of an inclined-substrate high temperature superconducting coated conductor (CC) completed. The first measurements of the effect of strain on interplanar currents with a c-directed component are presented, showing no strong difference in behaviour from ab-oriented currents. This indicates the effect of inter-plane coupling on Jc does not change dramatically with strain at 77 K. Measurements of Jc were made using mechanical scribing to reduce the cross section of the CCs. It was shown the decrease in critical current is proportional to the sample width from 12 mm down to 1 mm, enabling higher critical current densities to be measured. Short samples (12mm long) were investigated at high currents to enable rotation of samples on the strain board, although current shunting prevented reliable measurements at larger strains. Calculations of self-field in thin superconducting tapes were made using a Josephson junction model for local Jc(B), and self-consistent current and field spatial distributions derived, that explain the low-field behaviour of CCs. A theoretical model for the strain behaviour of CCs is presented which uses single-crystal strain measurements and elastic constants from the literature to calculate 1/Jc(0) dJc/dε for both current and strain along and perpendicular to the tape length on a copper-beryllium sample holder. Qualitative agreement is found between the model values of between +1.0 and -9.2 and between +1.9 and -4.0 for the two geometries considered, compared to experimental measurements of -7.0(3) and -7.6(13) respectively. The model results suggest crystallographic normal strains determine the strain behaviour of Jc in CCs in contrast to deviatoric strain that is known to control Nb3Sn. These results suggest different mechanisms operate in these two materials.
DOI: 10.5281/zenodo.10013693
title: Robotic Monitoring of Forests: a Dataset from the EU habitat 9210* in the Tuscan Apennines (Central Italy)

description: Data collected between the 27th and the 28th of April 2022, in Chiusi Della Verna, Arezzo 52010 (AR), Italy, inside the Natura 2000 SAC IT5180101. The data has been acquired mainly by the legged robot ANYmal C guided by a team of both roboticists and plant scientists.  
The dataset contains four different sets of data:  
1) species data - photos of four indicator species of the habitat 9210 (3 typical species and 1 early warning species).
2) mapping data - three dimensional point clouds of the habitat environment.
3) autonomous monitoring mission data - photos and videos taken by the robot during the surveys, robot status, and external videos of the autonomous mission.
4) teleoperated monitoring mission data - photos and videos taken by the robot during the surveys, robot status, and external videos of the teleoperated mission.
Researchers from a variety of disciplines can benefit from using this dataset because of its multidisciplinary scope. On the one hand, robotic engineers could, for instance, benchmark the performance of the robots and test or validate their own methods using the point clouds and the information about the robot state. On the other hand, botanists could evaluate the accuracy of this data as well as the habitat's conditions using the plant videos and images that the robot captured, or computer scientists could test their AI algorithms for identifying and classifying different species using these data.
description: This research is partially supported by the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement No. 101016970 (Natural Intelligence), in part by the Ministry of University and Research (MUR) as part of the PON 2014-2021 "Research and Innovation" resources – Green/Innovation Action - DM MUR 1062/2021, and in part by the Italian Ministry of Education and Research (MIUR) in the framework of the FoReLab project (Departments of Excellence). The authors acknowledge the support of NBFC to the University of Siena, funded by the Italian Ministry of  University and Research, PNRR, Missione 4 Componente 2, "Dalla ricerca all'impresa", Investimento 1.4, Project CN00000033.
DOI: 10.5281/zenodo.7696230
title: Robotic Monitoring of Forests: a Dataset from the EU habitat 9210* in the Tuscan Apennines (Central Italy)

description: Data collected between the 27th and the 28th of April 2022, in Chiusi Della Verna, Arezzo 52010 (AR), Italy, inside the Natura 2000 SAC IT5180101. The data has been acquired mainly by the legged robot ANYmal C guided by a team of both roboticists and plant scientists.  
The dataset contains four different sets of data:  
1) species data - photos of four indicator species of the habitat 9210 (3 typical species and 1 early warning species).
2) mapping data - three dimensional point clouds of the habitat environment.
3) autonomous monitoring mission data - photos and videos taken by the robot during the surveys, robot status, and external videos of the autonomous mission.
4) teleoperated monitoring mission data - photos and videos taken by the robot during the surveys, robot status, and external videos of the teleoperated mission.
Researchers from a variety of disciplines can benefit from using this dataset because of its multidisciplinary scope. On the one hand, robotic engineers could, for instance, benchmark the performance of the robots and test or validate their own methods using the point clouds and the information about the robot state. On the other hand, botanists could evaluate the accuracy of this data as well as the habitat's conditions using the plant videos and images that the robot captured, or computer scientists could test their AI algorithms for identifying and classifying different species using these data.
description: This research is partially supported by the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement No. 101016970 (Natural Intelligence), in part by the Ministry of University and Research (MUR) as part of the PON 2014-2021 "Research and Innovation" resources – Green/Innovation Action - DM MUR 1062/2021, and in part by the Italian Ministry of Education and Research (MIUR) in the framework of the FoReLab project (Departments of Excellence). The authors acknowledge the support of NBFC to the University of Siena, funded by the Italian Ministry of  University and Research, PNRR, Missione 4 Componente 2, "Dalla ricerca all'impresa", Investimento 1.4, Project CN00000033.
DOI: 10.5281/zenodo.7696231
title: Robotic Monitoring of Forests: a Dataset from the EU habitat 9210* in the Tuscan Apennines (Central Italy)

description: Data collected between the 27th and the 28th of April 2022, in Chiusi Della Verna, Arezzo 52010 (AR), Italy, inside the Natura 2000 SAC IT5180101. The data has been acquired mainly by the legged robot ANYmal C guided by a team of both roboticists and plant scientists. The dataset contains three different sets of data: <br> 1) species data - photos and videos of three typical species of the habitat 9210.<br> 2) mapping data - three dimensional point clouds of the habitat environment.<br> 3) monitoring mission data - photos and videos taken by the robot during the surveys, robot status, and external videos of the mission. Researchers from a variety of disciplines can benefit from using this dataset because of its multidisciplinary scope. On the one hand, robotic engineers could, for instance, benchmark the performance of the robots and test or validate their own methods using the point clouds and the information about the robot state. On the other hand, botanists could evaluate the accuracy of this data as well as the habitat's conditions using the plant videos and images that the robot captured, or computer scientists could test their AI algorithms for identifying and classifying different species using these data.<br>
description: This research is partially supported by the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement No. 101016970 (Natural Intelligence), in part by the Ministry of University and Research (MUR) as part of the PON 2014-2021 "Research and Innovation" resources – Green/Innovation Action - DM MUR 1062/2021, and in part by the Italian Ministry of Education and Research (MIUR) in the framework of the FoReLab project (Departments of Excellence). The authors acknowledge the support of NBFC to the University of Siena, funded by the Italian Ministry of University and Research, PNRR, Missione 4 Componente 2, "Dalla ricerca all'impresa", Investimento 1.4, Project CN00000033.
DOI: 10.5282/ubm/data.415
title: Variation and palatalisation in the production of the plural prefix in Meru: a study of three dialects

description: The primary data contains the original recordings (wav files), derived files, and annotations. The primary data is subjected to an embargo and not in the public domain. The secondary data contains the analysis of the primary data to derive the graphics and statistical analyses in the publication. Please check the READ_ME.txt file for further information about file content. The datasets were created as part of the project SoundAct which has received funding from the European Research Council (ERC) under the European Union’s Horizon Europe research and innovation programme (grant agreement No. 101053194).
DOI: 10.14278/rodare.2467
title: Dataset for: A novel, scenario-based approach to comparing non-pharmaceutical intervention strategies across nations

description: This dataset includes all data discussed in the publication "A novel, scenario-based approach to comparing non-pharmaceutical intervention strategies across nations".
DOI: 10.14278/rodare.2466
title: Dataset for: A novel, scenario-based approach to comparing non-pharmaceutical intervention strategies across nations

description: This dataset includes all data discussed in the publication "A novel, scenario-based approach to comparing non-pharmaceutical intervention strategies across nations".
DOI: 10.34740/kaggle/dsv/6730050
title: 2021 World Population (updated daily)
DOI: 10.34740/kaggle/dsv/6730073
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.4121/65585fc3-4ed3-4c08-83ef-adbbc7300582
title: Data underlying the paper "The global techno-economic potential of floating, closed-cycle ocean thermal energy conversion"

description: Key data used and generated per analysed country and region, consisting off raw and processed temperature profiles as well as analysed sites and their average net power production (based on IUPAC convention, so net power output has a negative sign).
DOI: 10.4121/65585fc3-4ed3-4c08-83ef-adbbc7300582.v1
title: Data underlying the paper "The global techno-economic potential of floating, closed-cycle ocean thermal energy conversion"

description: Key data used and generated per analysed country and region, consisting off raw and processed temperature profiles as well as analysed sites and their average net power production (based on IUPAC convention, so net power output has a negative sign).
DOI: 10.5517/ccdc.csd.cc1lb2bb
title: CCDC 1469441: Experimental Crystal Structure Determination

description: Related Article: A. Penney, E. Gracheva, V. Gurzhiy, S. Tunik|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1llkb2
title: CCDC 1477594: Experimental Crystal Structure Determination

description: Related Article: Thomas P. Robinson, Gabrielle Kociok-Kohn, Andrew L. Johnson, Paul R. Raithby|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1zzyb7
title: CCDC 1846990: Experimental Crystal Structure Determination

description: Related Article: Yu. M. Litvinova, Ya. M. Gayfulin, D. G. Samsonenko, Yu. M. Mironov|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2b6wjz
title: CCDC 2151571: Experimental Crystal Structure Determination

description: Related Article: S. T. Löffler, J. Hümmer, F. W. Heinemann, K. Meyer|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dmd7p
title: CCDC 2223172: Experimental Crystal Structure Determination

description: Related Article: XiangXin Zhang|2023|CSD Communication|||
description: Related Article: Xiang-Xin Zhang, Hao Zheng, Yong-Kang Mei, Yan Liu, Ying-Ying Liu, Ding-Wei Ji, Boshun Wan, Qing-An Chen|2023|Chemical Science|14|11170|doi:10.1039/D3SC03667G
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.