cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14837784.v1
title: SLAW datamatrices

description: This zip file contains for the three datasets in the SLAW papers the 5 raw data matrices used to generate the figures.<br>
DOI: 10.6084/m9.figshare.14837784
title: SLAW datamatrices

description: This zip file contains for the three datasets in the SLAW papers the 5 raw data matrices used to generate the figures.<br>
DOI: 10.48420/14675763
title: Data to support "Bifurcations of drops and bubbles propagating in variable-depth Hele-Shaw channels"

description: Text files containing data needed to reconstruct figures in the paper "Bifurcations of drops and bubbles propagating in variable-depth Hele-Shaw channels".<br>
DOI: 10.48420/14675763.v1
title: Data to support "Bifurcations of drops and bubbles propagating in variable-depth Hele-Shaw channels"

description: Text files containing data needed to reconstruct figures in the paper "Bifurcations of drops and bubbles propagating in variable-depth Hele-Shaw channels".<br>
DOI: 10.6084/m9.figshare.14837742
title: Reproducing Human Motor Adaptation in Spiking Neural Simulation and known Synaptic Learning Rules - Code and data

description: This is the code and data for the paper: <br>Wu, Haar, Faisal (2021) Reproducing Human Motor Adaptation in Spiking Neural Simulation and known Synaptic Learning Rules<br><br><b>Run files:</b> 1. force_field.m - standard force field experiment with adaptation + baseline (Fig 4,5)<br> 2. relearning.m - relearning experiment with adaptation + de-adaptation + adaptation (Fig 6a)<br> 3. error-clamp.m - error clamp experiment with adaptation + de-adaptation + error clamp (Fig 6d) <br><b>Lesion run files:</b> 1. Lesion_aging.m - Aging brain (Fig 7a)<br> 2. no_memory.m - Mossy finer damage (Fig 7b)<br> 3. Lesion_cerebellar_cortex.m - Cerebellar cortex damage (Fig. 7c)<br> 4. Purkinje_noise.m - large noise in purkinje cells (Fig 7d)
DOI: 10.6084/m9.figshare.14837742.v1
title: Reproducing Human Motor Adaptation in Spiking Neural Simulation and known Synaptic Learning Rules - Code and data

description: This is the code and data for the paper: <br>Wu, Haar, Faisal (2021) Reproducing Human Motor Adaptation in Spiking Neural Simulation and known Synaptic Learning Rules<br><br><b>Run files:</b> 1. force_field.m - standard force field experiment with adaptation + baseline (Fig 4,5)<br> 2. relearning.m - relearning experiment with adaptation + de-adaptation + adaptation (Fig 6a)<br> 3. error-clamp.m - error clamp experiment with adaptation + de-adaptation + error clamp (Fig 6d) <br><b>Lesion run files:</b> 1. Lesion_aging.m - Aging brain (Fig 7a)<br> 2. no_memory.m - Mossy finer damage (Fig 7b)<br> 3. Lesion_cerebellar_cortex.m - Cerebellar cortex damage (Fig. 7c)<br> 4. Purkinje_noise.m - large noise in purkinje cells (Fig 7d)
DOI: 10.25934/00003417.0
title: Available IPD datapackage for study 'A Randomised, Double-Blind, Placebo-Controlled, Parallel-Group Efficacy and Safety Comparison of One-Year Treatment of Two Doses (5mg and 10mg) of Tiotropium Inhalation Solution Delivered by the Respimat Device in Patients With Chronic Obstructive Pulmonary Disease (COPD)'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.25934/00003417.1
title: IPD datapackage for study 'A Randomised, Double-Blind, Placebo-Controlled, Parallel-Group Efficacy and Safety Comparison of One-Year Treatment of Two Doses (5mg and 10mg) of Tiotropium Inhalation Solution Delivered by the Respimat Device in Patients With Chronic Obstructive Pulmonary Disease (COPD)' and research request: 'Heterogeneity in relative treatment efficacy by age, sex, socioeconomic status and comorbidity (McAllister)'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.17632/4p2jdcp378.1
title: Codes and Data Package: Covid-19 Fiscal Support and its Effectiveness

description: This package contains the data as well as the Matlab files needed to replicate the empirical findings in "Covid-19 Fiscal Support and its Effectiveness", Economics Letters 205, pp. 109939/1–5: https://doi.org/10.1016/j.econlet.2021.109939 Abstract: This paper uses a threshold-augmented Global VAR model to quantify the macroeconomic effects of countries' discretionary fiscal actions in response to the Covid-19 pandemic and its fallout. Our results are threefold: (1) fiscal policy is playing a key role in mitigating the effects of the pandemic; (2) all else equal, countries that implemented larger fiscal support are expected to experience less output contractions; (3) emerging markets are also benefiting from the synchronized fiscal actions globally through the spillover channel and reduced financial market volatility.
DOI: 10.6084/m9.figshare.14837841
title: CmaxVideoAnalysis_2018_dutycycled_MW.xlsx

description: Towed cameras were programmed to record video data at 1080p resolution at 50 frames per second until either the memory or power were exhausted. Video recording was continuous in 2018, but a duty cycle of 30 seconds of recording every 5 minutes was used in 2019 to extend the recording duration. The 2018 continuous video data were therefore sub-sampled to 30-second video sequences every 5 minutes to match the duty cycling used in 2019. We also compared habitat use and behaviours revealed using the duty-cycled video with the continuous video data (collected in 2018), to understand what may have been missed in the duty-cycled data.<br>All video data were observed in VLC Media Player (Version 3.0.8). Initial assessment of all data was undertaken by viewing each 30-second video file at twice the native speed to ascertain information on the following: (i) ambient lighting conditions (more than 50% of video data gathered in dark conditions, termed ‘blackout’, separated into day and night) and (ii) seabed presence and habitat type (whether seabed was visible in more than 50% of data and dominant habitat type). Seabed habitats were classified following the European Nature Information System (EUNIS; https://eunis.eea.europa.eu) habitat classification system, and also included surface and mid-water swimming where neither the seabed nor surface were visible. The frequency and extent of other behaviours, including feeding behaviour (when the shark’s mouths was open for more than 50% of the video duration, i.e. &gt;15 seconds), presence of conspecifics and other species were recorded, and species were identified to the finest possible taxonomic level. Where necessary, video data were watched at native or slowed to half speed to ascertain behaviour changes or other events.<br> <br>To investigate the initial responses of basking sharks to tagging, Tail Beat Frequency (TBF) was calculated as the number of lateral undulatory movements visible in the video data. Using data collected in 2018, where video recording was continuous, TBF was estimated every minute (using 30 second of data), and every five minutes for the 2019 duty cycled data for the first 30 minutes following tagging. TBF was also estimated for each 30-second video sequence of surface feeding behaviour
DOI: 10.6084/m9.figshare.14837841.v1
title: CmaxVideoAnalysis_2018_dutycycled_MW.xlsx

description: Towed cameras were programmed to record video data at 1080p resolution at 50 frames per second until either the memory or power were exhausted. Video recording was continuous in 2018, but a duty cycle of 30 seconds of recording every 5 minutes was used in 2019 to extend the recording duration. The 2018 continuous video data were therefore sub-sampled to 30-second video sequences every 5 minutes to match the duty cycling used in 2019. We also compared habitat use and behaviours revealed using the duty-cycled video with the continuous video data (collected in 2018), to understand what may have been missed in the duty-cycled data.<br>All video data were observed in VLC Media Player (Version 3.0.8). Initial assessment of all data was undertaken by viewing each 30-second video file at twice the native speed to ascertain information on the following: (i) ambient lighting conditions (more than 50% of video data gathered in dark conditions, termed ‘blackout’, separated into day and night) and (ii) seabed presence and habitat type (whether seabed was visible in more than 50% of data and dominant habitat type). Seabed habitats were classified following the European Nature Information System (EUNIS; https://eunis.eea.europa.eu) habitat classification system, and also included surface and mid-water swimming where neither the seabed nor surface were visible. The frequency and extent of other behaviours, including feeding behaviour (when the shark’s mouths was open for more than 50% of the video duration, i.e. &gt;15 seconds), presence of conspecifics and other species were recorded, and species were identified to the finest possible taxonomic level. Where necessary, video data were watched at native or slowed to half speed to ascertain behaviour changes or other events.<br> <br>To investigate the initial responses of basking sharks to tagging, Tail Beat Frequency (TBF) was calculated as the number of lateral undulatory movements visible in the video data. Using data collected in 2018, where video recording was continuous, TBF was estimated every minute (using 30 second of data), and every five minutes for the 2019 duty cycled data for the first 30 minutes following tagging. TBF was also estimated for each 30-second video sequence of surface feeding behaviour
DOI: 10.24352/ub.ovgu-2021-071
title: 2D MRI liver slices with navigator frames. A training and test data set for image based 4D MRI reconstruction. (Part II)

description: This data contains fully anonymized MRI data of the abdomens of 20 healthy subjects as basis to reconstruct 4D MRIs of the breathing motion of the subjects’ abdomen. This data publication uses the same protocol and is a continuation (part 2) of the data publication “2D MRI liver slices with navigator frames. A test data set for image based 4D MRI reconstruction”  (https://doi.org/10.24352/UB.OVGU-2019-093)
DOI: 10.5281/zenodo.3724459
title: Feather morphology data to reveal constraints of feather growth

description: <strong>Abstract</strong> It has long been known that the growth-rate of feathers of birds is limited and that long feathers take disproportionally longer to grow than small feathers, which has severe consequences on moult duration and the completeness of moult in large birds. To reveal constraints of feather growth, we present two datasets: (a) Measurements taken from 45 plucked flight-feathers (14 primaries and 31 secondaries) from 6 dead Golden Eagles (4 – 13 primaries and/or secondaries per individual); (b) Measurements taken from all primaries of six passerine species. Explanations of the variables can be found in the Excel-files. More details about the two datasets presented here and a third dataset can be found in L. Jenni, K. Ganz, P. Milanesi, R. Winkler (2020): Determinants and constraints of feather growth. Plos ONE 10.1371/journal.pone.0231925.
DOI: 10.5281/zenodo.3724458
title: Feather morphology data to reveal constraints of feather growth

description: <strong>Abstract</strong> It has long been known that the growth-rate of feathers of birds is limited and that long feathers take disproportionally longer to grow than small feathers, which has severe consequences on moult duration and the completeness of moult in large birds. To reveal constraints of feather growth, we present two datasets: (a) Measurements taken from 45 plucked flight-feathers (14 primaries and 31 secondaries) from 6 dead Golden Eagles (4 – 13 primaries and/or secondaries per individual); (b) Measurements taken from all primaries of six passerine species. Explanations of the variables can be found in the Excel-files. More details about the two datasets presented here and a third dataset can be found in L. Jenni, K. Ganz, P. Milanesi, R. Winkler (2020): Determinants and constraints of feather growth. Plos ONE 10.1371/journal.pone.0231925.
DOI: 10.5281/zenodo.5018264
title: Dataset of "Resonant Band-Edge Emissive States in Strongly Confined CsPbBr3 Perovskite Nanoplatelets"

description: Dataset underpinning the published article: Resonant Band-Edge Emissive States in Strongly Confined CsPbBr<sub>3</sub> Perovskite Nanoplatelets. <em>J. Phys. Chem. C, </em><strong>2021,</strong> . DOI: 10.1021/acs.jpcc.1c01353
DOI: 10.5281/zenodo.5018263
title: Dataset of "Resonant Band-Edge Emissive States in Strongly Confined CsPbBr3 Perovskite Nanoplatelets"

description: Dataset underpinning the published article: Resonant Band-Edge Emissive States in Strongly Confined CsPbBr<sub>3</sub> Perovskite Nanoplatelets. <em>J. Phys. Chem. C, </em><strong>2021,</strong> . DOI: 10.1021/acs.jpcc.1c01353
DOI: 10.25934/00003439.0
title: Available IPD datapackage for study 'Effect of a 9-month Treatment of SPIRIVA® on Health Related Quality of Life in Patients With Chronic Obstructive Pulmonary Disease. Validation of a New HRQoL Questionnaire Appropriate to Common Daily Practice. (TIPHON Study)'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.25934/00003439.1
title: IPD datapackage for study 'Effect of a 9-month Treatment of SPIRIVA® on Health Related Quality of Life in Patients With Chronic Obstructive Pulmonary Disease. Validation of a New HRQoL Questionnaire Appropriate to Common Daily Practice. (TIPHON Study)' and research request: 'Heterogeneity in relative treatment efficacy by age, sex, socioeconomic status and comorbidity (McAllister)'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.6084/m9.figshare.14837904
title: Supplementary Material for: Racial-Ethnic Differences in Health-Related Quality of Life among Adults and Children with Glomerular Disease

description: <b><i>Introduction:</i></b> Disparities in health-related quality of life (HRQOL) have been inadequately studied in patients with glomerular disease. The aim of this study was to identify relationships among race/ethnicity, socioeconomic status, disease severity, and HRQOL in an ethnically and racially diverse cohort of patients with glomerular disease. <b><i>Methods:</i></b> Cure Glomerulonephropathy (CureGN) is a multinational cohort study of patients with biopsy-proven glomerular disease. Associations between race/ethnicity and HRQOL were determined by the following: (1) missed school or work due to kidney disease and (2) responses to Patient-Reported Outcomes Measurement Information System (PROMIS) questionnaires. We adjusted for demographics, socioeconomic status, and disease characteristics using multivariable logistic and linear regression. <b><i>Results:</i></b> Black and Hispanic participants had worse socioeconomic status and more severe glomerular disease than white or Asian participants. Black adults missed work or school most frequently due to kidney disease (30 vs. 16–23% in the other 3 groups, <i>p</i> = 0.04), and had the worst self-reported global physical health (median score 44.1 vs. 48.0–48.2, <i>p</i> &lt; 0.001) and fatigue (53.8 vs. 48.5–51.1, <i>p</i> = 0.002), compared to other racial/ethnic groups. However, these findings were not statistically significant with adjustment for socioeconomic status and disease severity, both of which were strongly associated with HRQOL in adults. Among children, disease severity but not race/ethnicity or socioeconomic status was associated with HRQOL. <b><i>Conclusions:</i></b> Among patients with glomerular disease enrolled in CureGN, the worse HRQOL reported by black adults was attributable to lower socioeconomic status and more severe glomerular disease. No racial/ethnic differences in HRQOL were observed in children.
DOI: 10.6084/m9.figshare.14837904.v1
title: Supplementary Material for: Racial-Ethnic Differences in Health-Related Quality of Life among Adults and Children with Glomerular Disease

description: <b><i>Introduction:</i></b> Disparities in health-related quality of life (HRQOL) have been inadequately studied in patients with glomerular disease. The aim of this study was to identify relationships among race/ethnicity, socioeconomic status, disease severity, and HRQOL in an ethnically and racially diverse cohort of patients with glomerular disease. <b><i>Methods:</i></b> Cure Glomerulonephropathy (CureGN) is a multinational cohort study of patients with biopsy-proven glomerular disease. Associations between race/ethnicity and HRQOL were determined by the following: (1) missed school or work due to kidney disease and (2) responses to Patient-Reported Outcomes Measurement Information System (PROMIS) questionnaires. We adjusted for demographics, socioeconomic status, and disease characteristics using multivariable logistic and linear regression. <b><i>Results:</i></b> Black and Hispanic participants had worse socioeconomic status and more severe glomerular disease than white or Asian participants. Black adults missed work or school most frequently due to kidney disease (30 vs. 16–23% in the other 3 groups, <i>p</i> = 0.04), and had the worst self-reported global physical health (median score 44.1 vs. 48.0–48.2, <i>p</i> &lt; 0.001) and fatigue (53.8 vs. 48.5–51.1, <i>p</i> = 0.002), compared to other racial/ethnic groups. However, these findings were not statistically significant with adjustment for socioeconomic status and disease severity, both of which were strongly associated with HRQOL in adults. Among children, disease severity but not race/ethnicity or socioeconomic status was associated with HRQOL. <b><i>Conclusions:</i></b> Among patients with glomerular disease enrolled in CureGN, the worse HRQOL reported by black adults was attributable to lower socioeconomic status and more severe glomerular disease. No racial/ethnic differences in HRQOL were observed in children.
DOI: 10.5281/zenodo.5017372
title: Tour planning validation dataset

description: This is the dataset produced during the validation of the Viarota scenario for developing personalised city break tours. The mocked data collected were generated during the RADON validation activities, using the Viarota application in a controlled testing environment.
DOI: 10.5281/zenodo.5017371
title: Tour planning validation dataset

description: This is the dataset produced during the validation of the Viarota scenario for developing personalised city break tours. The mocked data collected were generated during the RADON validation activities, using the Viarota application in a controlled testing environment.
DOI: 10.5281/zenodo.4899941
title: The complete corpus of #COVID-19 Twitter dataset

description: <br> COVID-19 pandemic initiated over a year ago continues to spread around the globe and the ongoing research regarding COVID-19 is on a continues growth as well. The online discourse on social media regarding COVID-19 has been growing along with the timeline of the pandemic. Open data on Twitter have been released and offer the research community the opportunity for new findings and resolving this new threat. In this dataset, we open a corpus of Twitter's data from March 2020 till today, that is being updated every day based on the two most important hashtags regarding COVID-19. This dataset will offer the research community the opportunity to explore the social extensions of this pandemic including topic analysis, hate speech sentiment analysis, regarding either the opinion of the users on the pandemic, the comments on the public discourse, or the vaccination releases. The dataset has been collected by retrieving all the tweets that contain the hashtags: #coronavirus and #COVID19 including approximately 208M tweets for hashtags #coronavirus and 392M tweets for hashtag #COVID-19, resulting in a total of 600M tweets.
DOI: 10.5281/zenodo.4899940
title: The complete corpus of #COVID-19 Twitter dataset

description: <br> COVID-19 pandemic initiated over a year ago continues to spread around the globe and the ongoing research regarding COVID-19 is on a continues growth as well. The online discourse on social media regarding COVID-19 has been growing along with the timeline of the pandemic. Open data on Twitter have been released and offer the research community the opportunity for new findings and resolving this new threat. In this dataset, we open a corpus of Twitter's data from March 2020 till today, that is being updated every day based on the two most important hashtags regarding COVID-19. This dataset will offer the research community the opportunity to explore the social extensions of this pandemic including topic analysis, hate speech sentiment analysis, regarding either the opinion of the users on the pandemic, the comments on the public discourse, or the vaccination releases. The dataset has been collected by retrieving all the tweets that contain the hashtags: #coronavirus and #COVID19 including approximately 208M tweets for hashtags #coronavirus and 392M tweets for hashtag #COVID-19, resulting in a total of 600M tweets.
DOI: 10.5517/ccdc.csd.cc26v0bf
title: CCDC 2050784: Experimental Crystal Structure Determination

description: Related Article: Abdullah Fahad A. Alshamrani, Orlando Santoro, Timothy J. Prior, Mohammed A. Alamri, Graeme J. Stasiuk, Mark R. J. Elsegood, Carl Redshaw|2021|Dalton Trans.|50|8302|doi:10.1039/D1DT01330K
DOI: 10.5517/ccdc.csd.cc26v0hl
title: CCDC 2050789: Experimental Crystal Structure Determination

description: Related Article: Abdullah Fahad A. Alshamrani, Orlando Santoro, Timothy J. Prior, Mohammed A. Alamri, Graeme J. Stasiuk, Mark R. J. Elsegood, Carl Redshaw|2021|Dalton Trans.|50|8302|doi:10.1039/D1DT01330K
DOI: 10.6084/m9.figshare.14838081
title: SjobergWilnerDSouza&Cole2021

description: Means etc for each participant for both experiments.
DOI: 10.6084/m9.figshare.14838081.v1
title: SjobergWilnerDSouza&Cole2021

description: Means etc for each participant for both experiments.