cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24936339.v1
title: Supplementary materials: Single-arm oncology trials and the nature of external controls arms

description: <b>This is a peer-reviewed supplementary table for the article '</b><b>Single-arm oncology trials and the nature of external controls arms</b><b>' published in the </b><b><i>Journal of Comparative Effectiveness Research</i></b><b>.</b><b>Supplementary Table 1:</b> Comparing cancer types of focus among the 15 example studies.<b>Summary: </b><b>Aim:</b> Single-arm trials with external control arms (ECAs) have gained popularity in oncology. ECAs may consist of primary data from previous trials, electronic health records (EHRs) or aggregate data from the literature. We sought to provide a description of how such studies achieve similarity of patients, comparability of data quality and outcome assessment. <b>Materials & methods:</b> In a stratified convenience sample of 15 studies, five used primary data from trials as ECAs, five used secondary data from EHRs and five used aggregate data from the literature. Data were collected from the published literature and public web resources, blinded to the eventual approval decision. <b>Results:</b> Studies using ECAs from primary data and EHR data displayed methods to achieve comparability of information, including matched baseline characteristics. Aggregate data from published studies did not attempt to match covariates. The EHR controls often showed calendar time overlap for collecting information while trial data were mostly historic. Outcome data were not consistently reported across studies. US FDA approval was only seen when primary data from trials or EHR data were used as the ECA, however no ECA in this sample directly contributed to approval. <b>Discussion:</b> In this nonsystematic review of ECAs for single-arm trials, the ECAs derived from primary data collected by other trials or EHRs show patterns of patient comparability, time overlap, and realistic methodological approaches to achieving balance between treatment arms. They are often submitted to regulators while literature-derived aggregate findings as ECA may serve as benchmarks for pipeline decisions.
DOI: 10.18712/nsd-nsd2065-v9
title: Norwegian Citizen Panel Round 1, 2013

description: The Norwegian Citizen Panel is a platform for internet surveys of public opinion in important areas of society and politics in Norway. Participants are randomly recruited from the Norwegian population register, and they are encouraged to participate over time. The panel was fielded for the first time the fall of 2013 and as of 2017 the survey is carried out three times a year. The data set for The Norwegian Citizen Panel Wave 1, 2013 also contains variables from previous waves, the wave number is indicated by the number after "r" in the variable name. The University of Bergen owns and is responsible for the Citizen panel. The company ideas2evidence recruits respondents, produces the survey, and provides documentation of the data. Data is stored and shared by Sikt - Norwegian Agency for Shared Services in Education and Research. The different datasets of the Norwegian Citizen Panel have different ID numbers to prevent the identification of individual participants across rounds. If access to data that follows participants over time (time-series/panel data) is desired, then it must be applied for by contacting DIGSSCORE (uib.no/digsscore / digsscore@uib.no). The same applies to text data and other data that is withheld in these datasets for privacy reasons. The Norwegian Citizen Panel welcomes research proposals for survey content. More information about calls and other updates are available at www.uib.no/en/citizen

The full text for the answer options can be found in the codebook, which is located further down the page.
DOI: 10.18712/nsd-nsd2112-v10
title: Norwegian Citizen Panel Round 2, 2014

description: The Norwegian Citizen Panel is a platform for internet surveys of public opinion in important areas of society and politics in Norway. Participants are randomly recruited from the Norwegian population register, and they are encouraged to participate over time. The panel was fielded for the first time the fall of 2013 and as of 2017 the survey is carried out three times a year. The data set for The Norwegian Citizen Panel Wave 2, 2014 also contains variables from previous waves, the wave number is indicated by the number after "r" in the variable name. The University of Bergen owns and is responsible for the Citizen panel. The company ideas2evidence recruits respondents, produces the survey, and provides documentation of the data. Data is stored and shared by Sikt - Norwegian Agency for Shared Services in Education and Research. The different datasets of the Norwegian Citizen Panel have different ID numbers to prevent the identification of individual participants across rounds. If access to data that follows participants over time (time-series/panel data) is desired, then it must be applied for by contacting DIGSSCORE (uib.no/digsscore / digsscore@uib.no). The same applies to text data and other data that is withheld in these datasets for privacy reasons. The Norwegian Citizen Panel welcomes research proposals for survey content. More information about calls and other updates are available at www.uib.no/en/citizen

The full text for the answer options can be found in the codebook, which is located further down the page.
DOI: 10.5523/bris.22buhfhub62xs2c7xv5w0pa10d
title: Dataset for publication "High-temperature superconductivity in La4H23 below 100 GPa"

description: Dataset for publication accepted in Physical Review B Letter
DOI: 10.18712/nsd-nsd2165-v11
title: Norwegian Citizen Panel Round 3, 2014

description: The Norwegian Citizen Panel is a platform for internet surveys of public opinion in important areas of society and politics in Norway. Participants are randomly recruited from the Norwegian population register, and they are encouraged to participate over time. The panel was fielded for the first time the fall of 2013 and as of 2017 the survey is carried out three times a year. The data set for The Norwegian Citizen Panel Wave 3, 2014 also contains variables from previous waves, the wave number is indicated by the number after "r" in the variable name. The University of Bergen owns and is responsible for the Citizen panel. The company ideas2evidence recruits respondents, produces the survey, and provides documentation of the data. Data is stored and shared by Sikt - Norwegian Agency for Shared Services in Education and Research. The different datasets of the Norwegian Citizen Panel have different ID numbers to prevent the identification of individual participants across rounds. If access to data that follows participants over time (time-series/panel data) is desired, then it must be applied for by contacting DIGSSCORE (uib.no/digsscore / digsscore@uib.no). The same applies to text data and other data that is withheld in these datasets for privacy reasons. The Norwegian Citizen Panel welcomes research proposals for survey content. More information about calls and other updates are available at www.uib.no/en/citizen

The full text for the answer options can be found in the codebook, which is located further down the page.
DOI: 10.18712/nsd-nsd2342-v12
title: Norwegian Citizen Panel Round 4, 2015

description: The Norwegian Citizen Panel is a platform for internet surveys of public opinion in important areas of society and politics in Norway. Participants are randomly recruited from the Norwegian population register, and they are encouraged to participate over time. The panel was fielded for the first time the fall of 2013 and as of 2017 the survey is carried out three times a year. The data set for The Norwegian Citizen Panel Wave 4, 2015 also contains variables from previous waves, the wave number is indicated by the number after "r" in the variable name. The University of Bergen owns and is responsible for the Citizen panel. The company ideas2evidence recruits respondents, produces the survey, and provides documentation of the data. Data is stored and shared by Sikt - Norwegian Agency for Shared Services in Education and Research. The different datasets of the Norwegian Citizen Panel have different ID numbers to prevent the identification of individual participants across rounds. If access to data that follows participants over time (time-series/panel data) is desired, then it must be applied for by contacting DIGSSCORE (uib.no/digsscore / digsscore@uib.no). The same applies to text data and other data that is withheld in these datasets for privacy reasons. The Norwegian Citizen Panel welcomes research proposals for survey content. More information about calls and other updates are available at www.uib.no/en/citizen

The full text for the answer options can be found in the codebook, which is located further down the page.
DOI: 10.18712/nsd-nsd2343-v11
title: Norwegian Citizen Panel Round 5, 2015

description: The Norwegian Citizen Panel is a platform for internet surveys of public opinion in important areas of society and politics in Norway. Participants are randomly recruited from the Norwegian population register, and they are encouraged to participate over time. The panel was fielded for the first time the fall of 2013 and as of 2017 the survey is carried out three times a year. The data set for The Norwegian Citizen Panel Wave 5, 2015 also contains variables from previous waves, the wave number is indicated by the number after "r" in the variable name. The University of Bergen owns and is responsible for the Citizen panel. The company ideas2evidence recruits respondents, produces the survey, and provides documentation of the data. Data is stored and shared by Sikt - Norwegian Agency for Shared Services in Education and Research. The different datasets of the Norwegian Citizen Panel have different ID numbers to prevent the identification of individual participants across rounds. If access to data that follows participants over time (time-series/panel data) is desired, then it must be applied for by contacting DIGSSCORE (uib.no/digsscore / digsscore@uib.no). The same applies to text data and other data that is withheld in these datasets for privacy reasons. The Norwegian Citizen Panel welcomes research proposals for survey content. More information about calls and other updates are available at www.uib.no/en/citizen

The full text for the answer options can be found in the codebook, which is located further down the page.
DOI: 10.17909/3vph-k508
title: GQ Lup MRS

description: MRS data of GQ Lup and its forming companion GQ Lup B. Only channel 1 and channel 2 were used to extract the companion spectrum, as at longer wavelengths the companion is too close.
DOI: 10.6084/m9.figshare.24936369
title: <b>glua4 dataset</b>

description: <b>PKA Phosphorylation of GluA4 Dictates Dendritic Growth of Pyramidal Neurons Early in Development and Determines the Structure and Function of Mature Neuronal Circuits</b>.
DOI: 10.6084/m9.figshare.24936369.v1
title: <b>glua4 dataset</b>

description: <b>PKA Phosphorylation of GluA4 Dictates Dendritic Growth of Pyramidal Neurons Early in Development and Determines the Structure and Function of Mature Neuronal Circuits</b>.
DOI: 10.34740/kaggle/dsv/7330762
title: Billboard
DOI: 10.34740/kaggle/dsv/7330763
title: Billboard
DOI: 10.34740/kaggle/dsv/7330764
title: Billboard
DOI: 10.34740/kaggle/dsv/7330765
title: Billboard
DOI: 10.34740/kaggle/dsv/7330768
title: Billboard
DOI: 10.34740/kaggle/dsv/7330769
title: Billboard
DOI: 10.34740/kaggle/dsv/7330770
title: Billboard
DOI: 10.34740/kaggle/dsv/7330771
title: Billboard
DOI: 10.34740/kaggle/dsv/7330772
title: Billboard
DOI: 10.34740/kaggle/dsv/7330773
title: Billboard
DOI: 10.5281/zenodo.10454372
title: Mortality Datasets for Brazil from 2016 to 2022
DOI: 10.6084/m9.figshare.24885087
title: Supplementary Material for: Association of Vitamin D with severity and outcome of COVID-19: Clinical and Experimental Evidence

description: Introduction: The role of vitamin in COVID-19 remains controversial. We investigated the association between endogenous vitamin D and the severity of COVID-19 as well as the mechanisms of action of vitamin D supplementation.
Methods: 25(OH)D3 in serum was associated with disease severity and outcome in 190 COVID-19 patients. In a COVID-19 animal model using intravenous injection of plasma from patients with COVID-19 ARDS into C57/BL6 mice, mice were treated with 0.25μg human 1,25(OH)D3 or vehicle. Mice were sacrificed on day 4. Cytokines and myeloperoxidase (MPO) in tissues were measured. Changes in gene expression after vitamin D supplementation were measured.
Results: Vitamin D deficiency and insufficiency were associated with increased severity and unfavourable outcome after 28 days. Vitamin D levels were negatively associated with biomarkers of COVID-19 severity. Vitamin D supplementation after challenge of mice with COVID-19 plasma led to reduced levels of TNFα, IL-6, IFNγand MPO in the lung, as well as down-regulation of pro-inflammatory pathways.
Conclusion: Normal levels of endogenous Vitamin D are associated with reduced severity and risk of unfavourable outcome in COVID-19, possibly through attenuation of tissue-specific hyperinflammation.
DOI: 10.6084/m9.figshare.24885087.v1
title: Supplementary Material for: Association of Vitamin D with severity and outcome of COVID-19: Clinical and Experimental Evidence

description: Introduction: The role of vitamin in COVID-19 remains controversial. We investigated the association between endogenous vitamin D and the severity of COVID-19 as well as the mechanisms of action of vitamin D supplementation.
Methods: 25(OH)D3 in serum was associated with disease severity and outcome in 190 COVID-19 patients. In a COVID-19 animal model using intravenous injection of plasma from patients with COVID-19 ARDS into C57/BL6 mice, mice were treated with 0.25μg human 1,25(OH)D3 or vehicle. Mice were sacrificed on day 4. Cytokines and myeloperoxidase (MPO) in tissues were measured. Changes in gene expression after vitamin D supplementation were measured.
Results: Vitamin D deficiency and insufficiency were associated with increased severity and unfavourable outcome after 28 days. Vitamin D levels were negatively associated with biomarkers of COVID-19 severity. Vitamin D supplementation after challenge of mice with COVID-19 plasma led to reduced levels of TNFα, IL-6, IFNγand MPO in the lung, as well as down-regulation of pro-inflammatory pathways.
Conclusion: Normal levels of endogenous Vitamin D are associated with reduced severity and risk of unfavourable outcome in COVID-19, possibly through attenuation of tissue-specific hyperinflammation.
DOI: 10.5281/zenodo.10435795
title: Mortality Datasets for Brazil from 2016 to 2022
DOI: 10.5281/zenodo.10435796
title: Mortality Datasets for Brazil from 2016 to 2022
DOI: 10.6084/m9.figshare.24936399
title: Replies to a questionnaire Nationwide status of progestogen treatment to prevent spontaneous preterm birth: A questionnaire survey for childbirth healthcare facilities in Japan.xlsx

description: <b>Nationwide status of progestogen treatment to prevent spontaneous preterm birth: A questionnaire survey for childbirth healthcare facilities in Japan</b><b>Aim:</b><b> </b>This study aimed to investigate the current status of progestogen treatment for pregnant women at a high risk for preterm birth in childbirth healthcare facilities in Japan.<b>Methods:</b><b> </b>A web-based nationwide questionnaire survey regarding progestogen use for prevention of preterm birth was conducted among childbirth healthcare facilities from 2019 to 2021.<b>Results:</b><b> </b>Valid responses were obtained from 528 facilities (25.2% of those surveyed), including 155 tertiary perinatal facilities (making up 92.3% of all perinatal care facilities). In the survey period, progestogen treatment was implemented in 207 facilities (39.2%) for preterm birth prevention. Regarding types of progestogens, 17α-hydroxyprogesterone caproate was used in 181 facilities (87.4%), with a low dose (125 mg/week) administered in 56.9% of the facilities to comply with the regulations of the national health insurance system, although 250 mg/week is considered the best dose. Vaginal progesterone was used in 32 facilities (15.4%), although the cost of vaginal progesterone was not covered by health insurance. Of the facilities not administering progestogen treatment, approximately 40% expressed that vaginal progesterone would be their first choice for preterm birth prevention in daily practice if it would be covered by health insurance in the future.<b>Conclusions</b>: Due to the current regulations of the Japanese health insurance system, 17α-hydroxyprogesterone caproate, rather than vaginal progesterone, was mainly used for preterm birth prevention. Despite global evidence supporting vaginal progesterone as the approach with the highest efficacy, only a limited number of facilities have utilized it due to the current drug use regulations in Japan.
DOI: 10.5281/zenodo.10453700
title: Minimal Texture Dataset for RGB-D SLAM

description: Supplement to Fontal A. et al, "SID-SLAM: Semi-Direct Information-Driven RGB-D SLAM", IEEE Robotics and Automation Letters, 2023 (https://doi.org/10.1109/LRA.2023.3251722)
DOI: 10.5281/zenodo.10453699
title: Minimal Texture Dataset for RGB-D SLAM

description: Supplement to Fontal A. et al, "SID-SLAM: Semi-Direct Information-Driven RGB-D SLAM", IEEE Robotics and Automation Letters, 2023 (https://doi.org/10.1109/LRA.2023.3251722)
DOI: 10.5281/zenodo.10452928
title: data collection for global eddy energy dissipation time-scale optimisation

description: Edit in ver 2, 03 Jan 2024:



(important) there is a bug NEMO GEOMETRIC code (advection of parameterised eddy energy; see ldfeke.F90), fixed in the present version

new data files updated (everything is included for completeness, although only the ones using GEOMETRIC have been updated)

data files and software files have been split out into separate zip files to enable easier downloads



"r1_ekedis_ORCA1.nc" is the dissipation time-scale on the ORCA1 grid

driver source code is in "python", and driver data is in "ORCA0083-N01"

modified NEMO source files are in "nemo3.7-8666", and prognostic data is in "eORCA1_LIM3"




=========================

data for "On constraining the mesoscale eddy energy dissipation time-scale"
description: Financial support from HK RGC Early Career Scheme 2630020 as well as the Center for Ocean Research in Hong Kong and Macau.
DOI: 10.34740/kaggle/dsv/7330866
title: COVID Vaccination in World (updated daily)
DOI: 10.5281/zenodo.6559892
title: data collection for global eddy energy dissipation time-scale optimisation

description: UPDATE [17 Oct 2023]: there is a bug in ldfeke.F90, please do not use that. See files in 10.5281/zenodo.10452928 for the fixed code ("ldfeke.F90") and related prognostic calculation data.

=========================

data for "On constraining the mesoscale eddy energy dissipation time-scale"
description: Financial support from HK RGC Early Career Scheme 2630020 as well as the Center for Ocean Research in Hong Kong and Macau.
DOI: 10.5281/zenodo.6559891
title: data collection for global eddy energy dissipation time-scale optimisation

description: Edit in ver 2, 03 Jan 2024:



(important) there is a bug NEMO GEOMETRIC code (advection of parameterised eddy energy; see ldfeke.F90), fixed in the present version

new data files updated (everything is included for completeness, although only the ones using GEOMETRIC have been updated)

data files and software files have been split out into separate zip files to enable easier downloads



"r1_ekedis_ORCA1.nc" is the dissipation time-scale on the ORCA1 grid

driver source code is in "python", and driver data is in "ORCA0083-N01"

modified NEMO source files are in "nemo3.7-8666", and prognostic data is in "eORCA1_LIM3"




=========================

data for "On constraining the mesoscale eddy energy dissipation time-scale"
description: Financial support from HK RGC Early Career Scheme 2630020 as well as the Center for Ocean Research in Hong Kong and Macau.
DOI: 10.6084/m9.figshare.24120096
title: Abeysekera, I. (2024). Sentiment analysis of a nomadic tax social enterprise. https://doi.org/10.6084/m9.figshare.24120096

description: The dataset relates to the following peer-reviewed journal article. Abeysekera, I. 2024. Sentiment Analysis of a Nomadic Tax Social Enterprise, Journal of Open Innovation: Technology, Market, and Complexity, Vol. 10, No. 1, 00179, https://doi.org/10.1016/j.joitmc.2023.100179
DOI: 10.6084/m9.figshare.24120096.v1
title: Abeysekera, I. (2024). Sentiment analysis of a nomadic tax social enterprise. https://doi.org/10.6084/m9.figshare.24120096

description: The dataset relates to the following peer-reviewed journal article. Abeysekera, I. 2024. Sentiment Analysis of a Nomadic Tax Social Enterprise, Journal of Open Innovation: Technology, Market, and Complexity, Vol. 10, No. 1, 00179, https://doi.org/10.1016/j.joitmc.2023.100179
DOI: 10.18712/nsd-nsd2344-v11
title: Norwegian Citizen Panel Round 6, 2016

description: The Norwegian Citizen Panel is a platform for internet surveys of public opinion in important areas of society and politics in Norway. Participants are randomly recruited from the Norwegian population register, and they are encouraged to participate over time. The panel was fielded for the first time the fall of 2013 and as of 2017 the survey is carried out three times a year. The data set for The Norwegian Citizen Panel Wave 6, 2016 also contains variables from previous waves, the wave number is indicated by the number after "r" in the variable name. The University of Bergen owns and is responsible for the Citizen panel. The company ideas2evidence recruits respondents, produces the survey, and provides documentation of the data. Data is stored and shared by Sikt - Norwegian Agency for Shared Services in Education and Research. The different datasets of the Norwegian Citizen Panel have different ID numbers to prevent the identification of individual participants across rounds. If access to data that follows participants over time (time-series/panel data) is desired, then it must be applied for by contacting DIGSSCORE (uib.no/digsscore / digsscore@uib.no). The same applies to text data and other data that is withheld in these datasets for privacy reasons. The Norwegian Citizen Panel welcomes research proposals for survey content. More information about calls and other updates are available at www.uib.no/en/citizen

The full text for the answer options can be found in the codebook, which is located further down the page.