cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20066135.v1
title: Supplementary Material for: Systematic Review and Meta-Analysis of Cardiovascular Medications in Neonatal Hypotension

description: <b><i>Background:</i></b> Comparative studies among the various cardiovascular medications used for the treatment of neonatal hypotension are lacking. <b><i>Methods:</i></b> This systematic review and pairwise meta-analysis of the anti-hypotensive treatments in preterm and term infants was conducted to evaluate efficacy and impact on outcome. Electronic databases were searched up to February 2021 for relevant articles. As an extension of the current approach for study selection, a machine learning technique was used. Only randomized controlled trials (RCTs) of inotropes, pressors, volume therapy, and corticosteroids were included. Response to treatment was the primary outcome while secondary outcomes included mortality and common morbidities. <b><i>Results:</i></b> Nineteen RCTs involving 758 preterm and term neonates were found, and 8 treatments were evaluated. Most studies involved subjects with early hypotension associated with prematurity. Pairwise meta-analysis among treatments showed that dopamine was more effective than dobutamine regarding the response to treatment (restoration of normotension or normalization of blood pressure) (7 trials, 286 neonates, odds ratio, 3.06 [95% CI = 1.06–8.87]; <i>I</i><sup>2</sup> = 49%, very low quality of the evidence per GRADE). Comparisons of other treatments were not significant. No differences were found among regimens regarding survival and other secondary outcomes. <b><i>Conclusion:</i></b> In this systematic review and pairwise meta-analysis, only the comparison of dopamine versus dobutamine provided evidence for efficacy of treatment and favored dopamine. No safe conclusions could be reached in regard to other treatments. Data regarding the management of arterial hypotension in conditions other than transition after birth in preterm newborns are sparse both in preterm and term infants.
DOI: 10.6084/m9.figshare.20065646
title: Ice fishing data

description: Ice fishing data collected from small boreal lakes Eastern Finland in spring 2021 using traditional ice fishing method.
DOI: 10.25442/hku.20010566
title: Supporting data for "Rational development of size-controlled polymeric nanoparticles: formulation optimization, particle characterization, and biological fates"

description: This dataset includes raw data (with suffixes of txt, pdf, xls, and tiff ) and data analysis (with suffixes of xls, pzfx, and mpj) for the captioned thesis. <br> The file "Nano release" contains data for nanoparticle characterization, method validation, and nanoparticle release profiles. <br> The file "VitD3 nano QbD" contains data for formulation design, nanoparticle characterization, and nanoparticle release profiles of VitD3 nanoparticles. <br> The file "Biodistribution" contains data for HPLC developement, cell study, pre-test of animal study, IVIS, and animal study.
DOI: 10.25442/hku.20010566.v1
title: Supporting data for "Rational development of size-controlled polymeric nanoparticles: formulation optimization, particle characterization, and biological fates"

description: This dataset includes raw data (with suffixes of txt, pdf, xls, and tiff ) and data analysis (with suffixes of xls, pzfx, and mpj) for the captioned thesis. <br> The file "Nano release" contains data for nanoparticle characterization, method validation, and nanoparticle release profiles. <br> The file "VitD3 nano QbD" contains data for formulation design, nanoparticle characterization, and nanoparticle release profiles of VitD3 nanoparticles. <br> The file "Biodistribution" contains data for HPLC developement, cell study, pre-test of animal study, IVIS, and animal study.
DOI: 10.25442/hku.19934279
title: Supporting data for "Systematic Screening of Pulmonary Hypertension in Individuals with Connective Tissue Disease"

description: Data about the thesis entitled "Systematic Screening of Pulmonary Hypertension in Individuals with Connective Tissue Disease".The Excel file includes the data about the clinical and demographic information, the laboratory data, the ECG measurements, echocardiographic parameters, the lung function results, and the results of right heart catheterization of the study population. Those data are the raw data for screening of pulmonary hypertension in Hong Kong Chinese patients with connective tissue disease.
DOI: 10.25442/hku.19934279.v1
title: Supporting data for "Systematic Screening of Pulmonary Hypertension in Individuals with Connective Tissue Disease"

description: Data about the thesis entitled "Systematic Screening of Pulmonary Hypertension in Individuals with Connective Tissue Disease".The Excel file includes the data about the clinical and demographic information, the laboratory data, the ECG measurements, echocardiographic parameters, the lung function results, and the results of right heart catheterization of the study population. Those data are the raw data for screening of pulmonary hypertension in Hong Kong Chinese patients with connective tissue disease.
DOI: 10.25442/hku.19682613
title: Supporting data for "Utilizing Consumer-directed Care for Community-dwelling Older Adults: A Supply-side and Demand-side Examination"

description: Study 1 contains two data files: "Expert Survey" and "Policy Information." Using cross-national document analysis, I analyzed eleven CDC programs from seven selected countries (United States, United Kingdom, Germany, the Netherlands, China, Australia, and Spain). A total of 14 indicators capturing the three dimensions of CDC programs was developed, and I conducted an expert survey (n=20) to gauge the importance of each indicator. I coded each program’s performance based on 14 indicators then examined similarities and differences of policy features across programs using descriptive statistics and graphical approaches. <br> Study 2 used qualitative methods, and data were documented by the file "Transcript". Using semi-structured face-to-face interviews, I recruited older persons receiving public home-based services (n = 6) and family members (n = 18) between April and August 2021. Inductive thematic analysis was employed to investigate the views of older clients and family members about policy designs that promote consumer direction in a collectivist cultural setting—Guangzhou, China. <br> Study 3 adopted quantitative survey methods, and the data were presented in the file "Survey." It is a telephone administered survey, which was collected in Guangzhou, China in 2021. Older persons using public in-home services under long-term care insurance were included, and proxies (family members) of older clients were allowed. The survey asked respondents about their service utilization and psychosocial factors.
DOI: 10.25442/hku.19682613.v1
title: Supporting data for "Utilizing Consumer-directed Care for Community-dwelling Older Adults: A Supply-side and Demand-side Examination"

description: Study 1 contains two data files: "Expert Survey" and "Policy Information." Using cross-national document analysis, I analyzed eleven CDC programs from seven selected countries (United States, United Kingdom, Germany, the Netherlands, China, Australia, and Spain). A total of 14 indicators capturing the three dimensions of CDC programs was developed, and I conducted an expert survey (n=20) to gauge the importance of each indicator. I coded each program’s performance based on 14 indicators then examined similarities and differences of policy features across programs using descriptive statistics and graphical approaches. <br> Study 2 used qualitative methods, and data were documented by the file "Transcript". Using semi-structured face-to-face interviews, I recruited older persons receiving public home-based services (n = 6) and family members (n = 18) between April and August 2021. Inductive thematic analysis was employed to investigate the views of older clients and family members about policy designs that promote consumer direction in a collectivist cultural setting—Guangzhou, China. <br> Study 3 adopted quantitative survey methods, and the data were presented in the file "Survey." It is a telephone administered survey, which was collected in Guangzhou, China in 2021. Older persons using public in-home services under long-term care insurance were included, and proxies (family members) of older clients were allowed. The survey asked respondents about their service utilization and psychosocial factors.
DOI: 10.25442/hku.19920152
title: Supporting data for Studying The Emergence Potential of Betacoronaviruses Using Serological and Reverse Genetics Approaches

description: In order to determine the potential animal host of MERS-CoV, indirect Enzyme-linked immunosorbent assay (ELISA) based on receptor binding domain (RBD) and nucleocapsid (N) were established to detect MERS-CoV specific antibodies in Bactrian and hybrid camels from Dubai, UAE and Bactrian camels from Xinjiang, China. Neutralization antibody test was used to confirm the seropositivity. The results showed that 41.4% (12/29) of the samples from Bactrian camels and 54.5% (6/11) of the samples from hybrid camels in Dubai were seropositive to MERS-CoV. Competitive ELISA based on N protein was developed for serodiagnosis of Coronavirus Disease 2019 among different animal species. Ninety-four serum samples of different animals from an amusement park including dolphins, giant pandas, harbour seals, koala, spotted seals, lions, and walruses were tested and none of these animals were seropositive to SARS-CoV-2.
DOI: 10.25442/hku.19920152.v1
title: Supporting data for Studying The Emergence Potential of Betacoronaviruses Using Serological and Reverse Genetics Approaches

description: In order to determine the potential animal host of MERS-CoV, indirect Enzyme-linked immunosorbent assay (ELISA) based on receptor binding domain (RBD) and nucleocapsid (N) were established to detect MERS-CoV specific antibodies in Bactrian and hybrid camels from Dubai, UAE and Bactrian camels from Xinjiang, China. Neutralization antibody test was used to confirm the seropositivity. The results showed that 41.4% (12/29) of the samples from Bactrian camels and 54.5% (6/11) of the samples from hybrid camels in Dubai were seropositive to MERS-CoV. Competitive ELISA based on N protein was developed for serodiagnosis of Coronavirus Disease 2019 among different animal species. Ninety-four serum samples of different animals from an amusement park including dolphins, giant pandas, harbour seals, koala, spotted seals, lions, and walruses were tested and none of these animals were seropositive to SARS-CoV-2.
DOI: 10.5281/zenodo.6641623
title: CRIRES high-resolution near-infrared spectroscopy of diffuse interstellar band profiles

description: This archive contains data used for the paper: CRIRES high-resolution near-infrared spectroscopy of diffuse interstellar band profiles. Detection of 12 new DIBs in the YJ band and the introduction of a combined ISM sight line and stellar analysis approach Paper-DOI: 10.1051/0004-6361/202142990 It contains reduced oCRIRES spectra. For more details on the reduction see the paper.
DOI: 10.5281/zenodo.6461584
title: CRIRES high-resolution near-infrared spectroscopy of diffuse interstellar band profiles

description: This archive contains data used for the paper: CRIRES high-resolution near-infrared spectroscopy of diffuse interstellar band profiles. Detection of 12 new DIBs in the YJ band and the introduction of a combined ISM sight line and stellar analysis approach Paper-DOI: 10.1051/0004-6361/202142990 It contains reduced oCRIRES spectra. For more details on the reduction see the paper.
DOI: 10.6084/m9.figshare.20066144
title: demo data

description: Three files are used in the R package ggmotif.
DOI: 10.6084/m9.figshare.20066144.v1
title: demo data

description: Three files are used in the R package ggmotif.
DOI: 10.6084/m9.figshare.19375712
title: Sanger Sequencing results

description: Sanger sequencing results of 5 Merinolandschaf lambs. Note that all long tailed indiviudals are showing the insertion. In MLS182_Forward1.ab1, MLS182_Forward2.ab1 MLS428_Forward1.ab1 and MLS428_Forward2.ab1 sequencing errors occured
DOI: 10.7910/dvn/d91s3w
title: Future of sales: enablement of sales force from traditional selling to virtual hybrid selling in B2B

description: Traditional buy-sell cycle is transforming in many ways due to technology, demographical changes, and Covid-19 pandemic. Recent surveys also highlight the buyer preference shift from traditional to digital channels and many sales organizations do not yet have the sense of urgency to change. This creates a preference gap between the way customers want to buy and sellers prefer to sell. To remain relevant to the customers and differentiate from the competition, sellers need to learn new ways of engaging with the customers such as virtual and hybrid selling. Given the fact that virtual and hybrid selling methods are relatively new, sales enablement for these selling methods is an under-researched topic in business-to-business (B2B) models. This study addresses the question of “How should the transition from traditional selling to virtual/hybrid selling be handled by B2B businesses?” and aims to identify organizational challenges and provide solutions for successful sales enablement. To garner sufficient data, detailed secondary research is done and subsequently, qualitative research approach with eleven semi-structured interviews is implemented. Five organizational challenges are identified from the findings of this research. These include defining sales roles, tasks, needed skills, tools and managing the change. Correspondingly, solutions for each challenge are provided. Furthermore, this paper contributes to the scientific community and practitioners by providing comprehensive information about virtual/hybrid selling and its correlation with other selling methods such as social selling, data based guided selling, consultative selling and sense making sales. In the discussion chapter, I summarized the theoretical and practical implications and concluded my thesis with recommendations for future research.
DOI: 10.25835/wg7xhqmh
title: Replication Package: "Where to Recruit for Security Development Studies: Comparing Six Software Developer Samples"

description: This is the replication package for the USENIX'22 paper “Where to Recruit for Security Development Studies: Comparing Six Software Developer Samples”. To support the reproducibility of our work, we provide the following materials in this replication package: (a) the screening and final survey questions we used, (b) the formatted collection of questions we found in our literature evaluation, (c) text used in the recruitment emails, (d) text used in the the job posts, (e) additional figures, (f) additional tables, and (g) the consent forms.
DOI: 10.5281/zenodo.6461585
title: CRIRES high-resolution near-infrared spectroscopy of diffuse interstellar band profiles

description: Please go to the newer version of this upload to get the publicly available data. This archive contains data used for the paper: CRIRES high-resolution near-infrared spectroscopy of diffuse interstellar band profiles: Detection of 12 new DIBs in the YJ band and the introduction of a combined ISM sight line and stellar analysis approach Paper-DOI: 10.1051/0004-6361/202142990 It contains reduced oCRIRES spectra. For more details on the reduction see the paper.
DOI: 10.34740/kaggle/dsv/3799816
title: WallStreetBets 2022
DOI: 10.15129/1ab360f7-0779-4cf3-8a9a-dae621892a51
title: Code for: "Predicting the Onset of Delirium on Hourly Basis in an Intensive Care Unit Following Cardiac Surgery"

description: This is R code for hourly models predicting the onset of delirium in the ICU, following cardiac surgery. The code shows how (1) the laboratory and delirium data was prepared for prediction, (2) how the training and testing tests were achieved based on experiments, (3) how the prediction models were developed, and (4) how the performance measures were calculated. The code was produced for Linda Lapp's PhD Thesis and publication for Computer Based Medical Systems (CBMS) 2022 conference proceedings (https://2022.cbms-conference.org/).
DOI: 10.5517/ccdc.csd.cc296x5m
title: CCDC 2121800: Experimental Crystal Structure Determination

description: Related Article: Bhupendra Kumar Dwivedi, Prasanta Bhowmik, Daya Shankar Pandey|2022|Dyes Pigm.|204|110444|doi:10.1016/j.dyepig.2022.110444
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: 10.6084/m9.figshare.20066159
title: jam

description: jam_count.csv lists the number of traffic jams for each road in Sao Paulo in that time span.<br> jam_table.csv lists the dates, roads, and durations of all these traffic jams. <br> Processed from https://www.kaggle.com/datasets/danlessa/sao-paulo-traffic-jams-since-2001. <br> Companhia de Engenharia e Trafégo, & Danilo Lessa Bernardineli. (2019). <i>Sao Paulo Traffic Jams since 2001</i> [Data set]. Kaggle. https://doi.org/10.34740/KAGGLE/DSV/612178
DOI: 10.6084/m9.figshare.20066159.v1
title: jam

description: jam_count.csv lists the number of traffic jams for each road in Sao Paulo in that time span.<br> jam_table.csv lists the dates, roads, and durations of all these traffic jams. <br> Processed from https://www.kaggle.com/datasets/danlessa/sao-paulo-traffic-jams-since-2001. <br> Companhia de Engenharia e Trafégo, & Danilo Lessa Bernardineli. (2019). <i>Sao Paulo Traffic Jams since 2001</i> [Data set]. Kaggle. https://doi.org/10.34740/KAGGLE/DSV/612178
DOI: 10.5445/ir/1000144276
title: Ice-free tropical waterbelt during Snowball Earth events questioned by uncertain clouds – Dataset and analysis scripts
DOI: 10.5281/zenodo.6634851
title: Deep Learning approach towards Precipitation Nowcasting: RADOLAN

description: In this repository you can find the converted images of the RADOLAN Product provided by the German Weather Service (DWD). This data was used as input data to train the models in the paper "Deep Learning Approach Towards Precipitation Nowcasting: Evaluating Regional Extrapolation Capabilities". Due to file size, the data set is split up into years. All years need to be placed in the same directory, so for example a correct directory structure would be /radarPNG/2017/, /radarPNG/2018/ etc. The raw RADOLAN data is available at https://opendata.dwd.de/weather/radar/radolan/ More details at https://github.com/Nakroma/Precipitation-Nowcasting
DOI: 10.5281/zenodo.6634850
title: Deep Learning approach towards Precipitation Nowcasting: RADOLAN

description: In this repository you can find the converted images of the RADOLAN Product provided by the German Weather Service (DWD). This data was used as input data to train the models in the paper "Deep Learning Approach Towards Precipitation Nowcasting: Evaluating Regional Extrapolation Capabilities". Due to file size, the data set is split up into years. All years need to be placed in the same directory, so for example a correct directory structure would be /radarPNG/2017/, /radarPNG/2018/ etc. The raw RADOLAN data is available at https://opendata.dwd.de/weather/radar/radolan/ More details at https://github.com/Nakroma/Precipitation-Nowcasting
DOI: 10.34740/kaggle/dsv/3800003
title: YouTube Daily
DOI: 10.5281/zenodo.6641702
title: SocialDisNER corpus: gold standard annotations for detection of disease mentions in Spanish tweets

description: Gold Standard annotations for <strong>SocialDisNER </strong>(SMM4H 2022 – Task 10) shared task. <strong>Introduction:</strong><br> The <strong>SocialDisNER corpus</strong> of the SMM4H 2022 – Task 10 task will focus on the recognition of disease mentions in tweets written in Spanish after selecting primarily<strong><em> first-hand experience of diseases</em></strong> and other health-relevant content (from patient associations, professional healthcare institutions, and through followers of patient association accounts of a <em>diversity of pathologies</em> including rare diseases, mental health, cancer, etc..). The corpus was manually annotated by medical experts following the SMM4H-SocialDisNER guidelines. These guidelines were adapted from previous efforts used to annotate patient clinical records and medical literature. It covers rules for annotating <strong>mentions of diseases</strong> in health-related tweets in Spanish, The training set consists of 5000 tweets written in Spanish and the validation set consists of 2500 tweets written in Spanish. Both sets have been manually annotated by healthcare professionals. The unannotated test set will be published shortly. The structure of the dataset is: socialdisner.zip: <strong><em>train-valid-txt-files</em></strong>: folder with training and validation text files. One text file per tweet, the file name corresponds to the tweet id. One sub-directory per corpus split (train and valid). The files named <em>ids_dev_set.txt</em> and<em> ids_train_set.txt </em>contain the list of file identifiers for each of the data splits (validation and train). <strong><em>mentions.tsv</em></strong>: This file contains the manually annotated disease mentions. The file has the following fields: <em>tweets_id</em>: This is the id of the tweet, using Twitter API you can query the content of the tweet. <em>Begin</em>: This is the position in the tweet where the annotation was found. <em>End</em>: This is the position of the last character of the annotation in the tweet. <em>Type: </em>This is the type of entity found, in our case "ENFERMEDAD". <em>Extraction</em>: This is the literal extraction, in other words, the fragment of text which refers to the annotation. <em>Note: In previous versions of the dataset the order of the columns in the mentions.tsv file was not in the correct order. From this version onwards the order is correct and adequate to send the predictions of the task.</em> For further information, please visit https://temu.bsc.es/socialdisner/ Do not share the data with other individuals/teams without permission from the task organizer. Tweets IDs are the primary source of information. Tweet texts are provided as support material. By downloading this resource, you agree to the Twitter Terms of Service, Privacy Policy, Developer Agreement, and Developer Policy.
DOI: 10.5281/zenodo.6517397
title: The PI-CAI Challenge: Public Training and Development Dataset

description: This dataset represents the <strong>PI-CAI: Public Training and Development Dataset</strong>. It contains 1500 anonymized prostate biparametric MRI scans from 1476 patients, acquired between 2012-2021, at three centers (Radboud University Medical Center, University Medical Center Groningen, Ziekenhuis Groep Twente) based in The Netherlands. The PI-CAI challenge is an all-new grand challenge that aims to validate the diagnostic performance of artificial intelligence and radiologists at clinically significant prostate cancer (csPCa) detection/diagnosis in MRI, with histopathology and follow-up (≥ 3 years) as the reference standard, in a retrospective setting. The study hypothesizes that state-of-the-art AI algorithms, trained using thousands of patient exams, are non-inferior to radiologists reading bpMRI. Key aspects of the PI-CAI study design have been established in conjunction with an international scientific advisory board of 16 experts in prostate AI, radiology and urology —to unify and standardize present-day guidelines, and to ensure meaningful validation of prostate AI towards clinical translation (<strong>Reinke et al., 2021</strong>).
DOI: 10.5258/soton/d2257
title: Dataset supporting an article "Selectively biased tri-terminal vertically-integrated memristor configuration"

description: Dataset for peer-reviewed article titled "Selectively biased tri-terminal vertically-integrated memristor configuration" accepted in Scientific Reports. Includes data used to produce the figures seen in this article.