cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.16577891.v1
title: CORNET Saliva Cortisol GWAS Summary Statistics

description: Summary statistics for CORNET GWAS on <br>morning saliva cortisol levels. <br><br>Alexander Neumann, Nese Direk, Andrew A. Crawford, Saira Mirza, Hieab Adams, Jennifer Bolton, Caroline Hayward, David P. Strachan, Erin K. Payne, Jennifer A. Smith, Yuri Milaneschi, Brenda Penninx, Jouke J. Hottenga, Eco de Geus, Albertine J. Oldehinkel, Peter J. van der Most, Yolanda de Rijke, Brian R. Walker, Henning Tiemeier, <br>The low single nucleotide polymorphism heritability of plasma and saliva cortisol levels, <br>Psychoneuroendocrinology, <br>Volume 85, <br>2017, <br>Pages 88-95, <br>ISSN 0306-4530, <br>https://doi.org/10.1016/j.psyneuen.2017.08.011. <br>(https://www.sciencedirect.com/science/article/pii/S0306453017305826) <br>Abstract: Cortisol is an important stress hormone affected by a variety of biological and environmental factors, such as the circadian rhythm, exercise and psychological stress. Cortisol is mostly measured using blood or saliva samples. A number of genetic variants have been found to contribute to cortisol levels with these methods. While the effects of several specific single genetic variants is known, the joint genome-wide contribution to cortisol levels is unclear. Our aim was to estimate the amount of cortisol variance explained by common single nucleotide polymorphisms, i.e. the SNP heritability, using a variety of cortisol measures, cohorts and analysis approaches. We analyzed morning plasma (n=5705) and saliva levels (n=1717), as well as diurnal saliva levels (n=1541), in the Rotterdam Study using genomic restricted maximum likelihood estimation. Additionally, linkage disequilibrium score regression was fitted on the results of genome-wide association studies (GWAS) performed by the CORNET consortium on morning plasma cortisol (n=12,597) and saliva cortisol (n=7703). No significant SNP heritability was detected for any cortisol measure, sample or analysis approach. Point estimates ranged from 0% to 9%. Morning plasma cortisol in the CORNET cohorts, the sample with the most power, had a 6% [95%CI: 0–13%] SNP heritability. The results consistently suggest a low SNP heritability of these acute and short-term measures of cortisol. The low SNP heritability may reflect the substantial environmental and, in particular, situational component of these cortisol measures. Future GWAS will require very large sample sizes. Alternatively, more long-term cortisol measures such as hair cortisol samples are needed to discover further genetic pathways regulating cortisol concentrations.<br>
DOI: 10.14278/rodare.1085
title: Numerical dimensioning of a pre-cooler for sCO2 power cycles to utilize industrial waste heat

description: These are the the processed data of the paper "Numerical dimensioning of a pre-cooler for sCO2 power cycles to utilize industrial waste heat". The data contain the heat transfer and fluid dynamic values of the simulation performed for the corresponding article.
DOI: 10.14278/rodare.1084
title: Numerical dimensioning of a pre-cooler for sCO2 power cycles to utilize industrial waste heat

description: These are the the processed data of the paper "Numerical dimensioning of a pre-cooler for sCO2 power cycles to utilize industrial waste heat". The data contain the heat transfer and fluid dynamic values of the simulation performed for the corresponding article.
DOI: 10.14278/rodare.1100
title: Data publication: Microscopic and spectroscopic bioassociation study of uranium(VI) with an archaeal Halobacterium isolate

description: Bei diesem Datensatz handelt es sich um die Primärdaten der Untersuchung der Wechselwirkungen eines halophilen Archaeons mit Uran(VI). Dazu wurden Konzentrationsbestimmungen mittels ICP-MS durchgeführt, Lumineszenzspektren mittels zeitaufgelöster laserinduzierter Lumineszenzspektroskopie und IR Spektren aufgenommen. Darüber hinaus wurden Bilder der Zellen mit Hilfe der Fluoreszenzmikroskopie aufgenommen.
DOI: 10.14278/rodare.1099
title: Data publication: Microscopic and spectroscopic bioassociation study of uranium(VI) with an archaeal Halobacterium isolate

description: Bei diesem Datensatz handelt es sich um die Primärdaten der Untersuchung der Wechselwirkungen eines halophilen Archaeons mit Uran(VI). Dazu wurden Konzentrationsbestimmungen mittels ICP-MS durchgeführt, Lumineszenzspektren mittels zeitaufgelöster laserinduzierter Lumineszenzspektroskopie und IR Spektren aufgenommen. Darüber hinaus wurden Bilder der Zellen mit Hilfe der Fluoreszenzmikroskopie aufgenommen.
DOI: 10.6084/m9.figshare.12942377
title: Inactivation of the GATA cofactor ZFPM1 results in abnormal development of dorsal raphe serotonergic neuron subtypes and increased anxiety-like behaviour

description: Journal of Neuroscience JN-RM-2252-19
DOI: 10.5281/zenodo.5482727
title: (re)Use Indications of High Energy Physics related Research Data and Software in Zenodo

description: This dataset contains High Energy Physics related research data and software (re)use indications (formal citations, informal mentions) in scholarly works. All research data and software resources were identified and extracted from Zenodo. The (re)use indications were identified by a mix of approaches: use of citation discovery services and multiple search approaches in Google Scholar. All identified research data and software (re)use indications were classified according to their purpose, location, and elements. The data was collected in 2018 for a PhD thesis on research data and software (re)use indications in scholarly works.
DOI: 10.5281/zenodo.5482726
title: (re)Use Indications of High Energy Physics related Research Data and Software in Zenodo

description: This dataset contains High Energy Physics related research data and software (re)use indications (formal citations, informal mentions) in scholarly works. All research data and software resources were identified and extracted from Zenodo. The (re)use indications were identified by a mix of approaches: use of citation discovery services and multiple search approaches in Google Scholar. All identified research data and software (re)use indications were classified according to their purpose, location, and elements. The data was collected in 2018 for a PhD thesis on research data and software (re)use indications in scholarly works.
DOI: 10.48544/6ef132c1-4eb7-4c1d-bb1e-5899deb6443d
title: UTwente Information Literacy microlectures
DOI: 10.5281/zenodo.5482741
title: School engagement, SRL and academic achievement

description: This data set corresponds to the analyses carried out in the following article: Estévez, I., Rodríguez-Llorente, C., Piñeiro, I., González-Suárez, R., & Valle, A. School Engagement, Academic Achievement, and Self-Regulated Learning. <em>Sustainability, 13</em>, 3011. https://doi.org/10.3390/su13063011 Measures of school engagement, self-regulation and academic performance of a group of primary school students are included.
description: Funding: This study was performed thanks to financing from research project EDU2013-44062-P (MINECO) and EDU2017-82984-P (MEIC) and financing received by two of the authors from the FPU program (FPU18/02191) and the FPI program (PRE2018-084938) from the Ministry of Science, Innovation, and Universities.
DOI: 10.5281/zenodo.4018677
title: School engagement, SRL and academic achievement

description: This data set corresponds to the analyses carried out in the following article: Estévez, I., Rodríguez-Llorente, C., Piñeiro, I., González-Suárez, R., & Valle, A. School Engagement, Academic Achievement, and Self-Regulated Learning. <em>Sustainability, 13</em>, 3011. https://doi.org/10.3390/su13063011 Measures of school engagement, self-regulation and academic performance of a group of primary school students are included.
description: Funding: This study was performed thanks to financing from research project EDU2013-44062-P (MINECO) and EDU2017-82984-P (MEIC) and financing received by two of the authors from the FPU program (FPU18/02191) and the FPI program (PRE2018-084938) from the Ministry of Science, Innovation, and Universities.
DOI: 10.5281/zenodo.5482739
title: (re)Use Indications of High Energy Physics related Research Data and Software in CERN Open Data Portal

description: This dataset contains High Energy Physics related research data and software (re)use indications (formal citations, informal mentions) in scholarly works. All research data and software resources were identified and extracted from CERN Open Data Portal. The (re)use indications were identified by a mix of approaches: use of citation discovery services and multiple search approaches in Google Scholar. All identified research data and software (re)use indications were classified according to their purpose, location, and elements. The data was collected in 2018 for a PhD thesis on research data and software (re)use indications in scholarly works.
DOI: 10.5281/zenodo.5482738
title: (re)Use Indications of High Energy Physics related Research Data and Software in CERN Open Data Portal

description: This dataset contains High Energy Physics related research data and software (re)use indications (formal citations, informal mentions) in scholarly works. All research data and software resources were identified and extracted from CERN Open Data Portal. The (re)use indications were identified by a mix of approaches: use of citation discovery services and multiple search approaches in Google Scholar. All identified research data and software (re)use indications were classified according to their purpose, location, and elements. The data was collected in 2018 for a PhD thesis on research data and software (re)use indications in scholarly works.
DOI: 10.5281/zenodo.5482747
title: (re)Use Indications of High Energy Physics related Research Data and Software in INSPIRE-HEP

description: This dataset contains High Energy Physics related research data and software (re)use indications (formal citations, informal mentions) in scholarly works. All research data and software resources were identified and extracted from INSPIRE-HEP. The (re)use indications were identified by a mix of approaches: use of citation discovery services and multiple search approaches in Google Scholar. All identified research data and software (re)use indications were classified according to their purpose, location, and elements. The data was collected in 2018 for a PhD thesis on research data and software (re)use indications in scholarly works.
DOI: 10.5281/zenodo.5482746
title: (re)Use Indications of High Energy Physics related Research Data and Software in INSPIRE-HEP

description: This dataset contains High Energy Physics related research data and software (re)use indications (formal citations, informal mentions) in scholarly works. All research data and software resources were identified and extracted from INSPIRE-HEP. The (re)use indications were identified by a mix of approaches: use of citation discovery services and multiple search approaches in Google Scholar. All identified research data and software (re)use indications were classified according to their purpose, location, and elements. The data was collected in 2018 for a PhD thesis on research data and software (re)use indications in scholarly works.
DOI: 10.5285/bb7366a9-1f8c-25a9-e053-6c86abc0cea1
title: Environmental and macrophyte data from low rocky intertidal shores in County Donegal, Ireland, and manipulative experimental data collected during Queen's University Belfast led MERP field and laboratory campaigns between May 2016 and April 2018.

description: This dataset was generated as part of a PhD thesis aligned with the MERP project, entitled: The role of intertidal kelp in coastal ecosystem functioning. The dataset consists of temperature/light sensor data from Hobo Loggers attached on four low rocky intertidal shores in County Donegal, Ireland, and a large amount of data pertaining to abundance, distribution, production/detrital production, dissolved organic matter production, epiphyte load, grazing, wrack biomass, chemical and nutritional content, polyphenol content, degradation rates, detrital communities, secondary production, consumption rates and respiration rates of current and future intertidal kelp assemblages and their associated communities. All data were collected from the Atlantic coast of Ireland in County Donegal. Data were collected monthly for 2.5 years.
DOI: 10.5281/zenodo.5482761
title: (re)Use Indications of High Energy Physics related Research Data and Software in HEPData

description: This dataset contains High Energy Physics related research data and software (re)use indications (formal citations, informal mentions) in scholarly works. All research data and software resources were identified and extracted from HEPData. The (re)use indications were identified by a mix of approaches: use of citation discovery services and multiple search approaches in Google Scholar. All identified research data and software (re)use indications were classified according to their purpose, location, and elements. The data was collected in 2018 for a PhD thesis on research data and software (re)use indications in scholarly works.
DOI: 10.5281/zenodo.5482760
title: (re)Use Indications of High Energy Physics related Research Data and Software in HEPData

description: This dataset contains High Energy Physics related research data and software (re)use indications (formal citations, informal mentions) in scholarly works. All research data and software resources were identified and extracted from HEPData. The (re)use indications were identified by a mix of approaches: use of citation discovery services and multiple search approaches in Google Scholar. All identified research data and software (re)use indications were classified according to their purpose, location, and elements. The data was collected in 2018 for a PhD thesis on research data and software (re)use indications in scholarly works.
DOI: 10.5281/zenodo.5482700
title: Research Data and Software (re)Use Indications in High Energy Physics related Scholarly Works (Full dataset)

description: This dataset contains research data and software (re)use indications (formal citations, informal mentions) in scholarly works related to High Energy Physics. 1,411 research and software indications were identified by a mix of approaches: use of citation discovery services and multiple search approaches in Google Scholar. The dataset contains indications by what approach the (re)use indications were found. All identified research data and software (re)use indications were classified according to their purpose, location, and elements. The data was collected in 2018 for a PhD thesis on research data and software (re)use indications in scholarly works.
DOI: 10.5281/zenodo.5482699
title: Research Data and Software (re)Use Indications in High Energy Physics related Scholarly Works (Full dataset)

description: This dataset contains research data and software (re)use indications (formal citations, informal mentions) in scholarly works related to High Energy Physics. 1,411 research and software indications were identified by a mix of approaches: use of citation discovery services and multiple search approaches in Google Scholar. The dataset contains indications by what approach the (re)use indications were found. All identified research data and software (re)use indications were classified according to their purpose, location, and elements. The data was collected in 2018 for a PhD thesis on research data and software (re)use indications in scholarly works.
DOI: 10.25646/9004
title: Tagesdaten-CSV aus dem DIVI-Intensivregister

description: Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq
DOI: 10.14278/rodare.1093
title: Data publication: Stretchable Thin Film Mechanical Strain Gated Switches and Logic Gate Functions Based on a Soft Tunneling Barrier

description: Time-domain THz spectroscopy (raw data) and the analysis of the delay time (Origin file)
DOI: 10.14278/rodare.1092
title: Data publication: Stretchable Thin Film Mechanical Strain Gated Switches and Logic Gate Functions Based on a Soft Tunneling Barrier

description: Time-domain THz spectroscopy (raw data) and the analysis of the delay time (Origin file)
DOI: 10.5281/zenodo.5482583
title: Nitrofurans Method Validation Dataset

description: Nitrofurans Method Validation Dataset
DOI: 10.5281/zenodo.5482582
title: Nitrofurans Method Validation Dataset

description: Nitrofurans Method Validation Dataset
DOI: 10.5281/zenodo.5482777
title: BL mixing in the Equator Pacific

description: BL mixing data at the Equator Pacific for GRL
DOI: 10.5281/zenodo.5482771
title: Identification of Research Data and Software (re)Use Indications in High Energy Physics related Scholarly Works (1951 - 2018)

description: This dataset contains research data and software (re)use indications in High Energy Physics related scholarly works. A minimal random sample of scholarly works that contain highly processed research data was taken from HEPData and manually read for research data and software (re)use indications. The sample contains 368 works, which were published between 1951 and 2018. The data was collected in 2019 for a PhD thesis on research data and software (re)use indications in scholarly works.
DOI: 10.5281/zenodo.5482770
title: Identification of Research Data and Software (re)Use Indications in High Energy Physics related Scholarly Works (1951 - 2018)

description: This dataset contains research data and software (re)use indications in High Energy Physics related scholarly works. A minimal random sample of scholarly works that contain highly processed research data was taken from HEPData and manually read for research data and software (re)use indications. The sample contains 368 works, which were published between 1951 and 2018. The data was collected in 2019 for a PhD thesis on research data and software (re)use indications in scholarly works.
DOI: 10.5281/zenodo.3991977
title: The University of Pittsburgh English Language Institute Corpus (PELIC)

description: This is the first public release of the dataset from the University of Pittsburgh English Language Institute Corpus (PELIC). PELIC is a publicly available 4.2-million-word learner corpus of written texts. These texts were collected in an English for Academic Purposes (EAP) context over seven years in the University of Pittsburgh’s Intensive English Program and were produced by over 1100 students with a wide range of linguistic backgrounds and proficiency levels. PELIC is longitudinal, offering greater opportunities for tracking development in a natural classroom setting. In addition to the data, the PELIC repository contains corpus statistics and tutorials on how to access and analyze the data.
description: Corpus homepage: https://eli-data-mining-group.github.io/Pitt-ELI-Corpus/
DOI: 10.6084/m9.figshare.16577951
title: Supplementary Material for: Acute Kidney Injury in Extracorporeal Membrane Oxygenation Patients: National Analysis of Impact of Age

description: <b><i>Background:</i></b> The aim of this study was to determine epidemiology and outcomes of acute kidney injury (AKI) in patients on extracorporeal membrane oxygenation (ECMO) and to assess if age modifies the effect of AKI on mortality. <b><i>Methods:</i></b> Using National (Nationwide) Inpatient Sample Database for hospitalizations in the USA from 2003 to 2014, we identified adult patients on ECMO support. Using International Classification of Diseases 9th Revision, we assessed the rates of AKI and AKI requiring dialysis (AKI-D) among them and associated survival. We used a multivariable logistic regression to identify risk factors of and differential effect of age on mortality from AKI. <b><i>Results:</i></b> AKI was seen in 63.9% of 17,942 ECMO hospitalizations: 21.9% of those with AKI required dialysis. The percentage of those with AKI increased steadily. Mortality was higher in those with AKI, with highest in those with AKI-D (70.8% vs. 61.7%; <i>p</i> &lt; 0.001). While both age and AKI were independent predictors of mortality, age was neither a risk factor for AKI nor did it modify the effect of AKI on mortality. <b><i>Conclusions:</i></b> AKI is common and is increasing among patients on ECMO support. Patients on ECMO have high mortality and AKI is an independent predictor of mortality. Though age is also an independent predictor of mortality in patients on ECMO, it is neither a predictor of AKI nor does not modify the relationship between AKI and mortality.
DOI: 10.6084/m9.figshare.16578152
title: Supplementary Material for: Neonatal Hemoglobin Levels in Preterm Infants Are Associated with Early Neurological Functioning

description: <b><i>Background:</i></b> Neonatal anemia may compromise oxygen transport to the brain. The effects of anemia and cerebral oxygenation on neurological functioning in the early neonatal period are largely unknown. <b><i>Objective:</i></b> This study aimed to determine the association between initial hemoglobin levels (Hb) and early neurological functioning in preterm infants by assessing their general movements (GMs). <b><i>Methods:</i></b> A retrospective analysis of prospectively collected data on preterm infants born before 32 weeks of gestation was conducted. We excluded infants with intraventricular hemorrhage &gt; grade II. On day 8, we assessed infants’ GMs, both generally as normal/abnormal and in detail using the general movement optimality score (GMOS). We measured cerebral tissue oxygen saturation (r<sub>c</sub>SO<sub>2</sub>) on day 1 using near-infrared spectroscopy. <b><i>Results:</i></b> We included 65 infants (median gestational age 29.9 weeks [IQR 28.2–31.0]; median birth weight 1,180 g [IQR 930–1,400]). Median Hb on day 1 was 10.3 mmol/L (range 4.2–13.7). Lower Hb on day 1 was associated with a higher risk of abnormal GMs (OR = 2.3, 95% CI: 1.3–4.1) and poorer GMOSs (<i>B</i> = 0.9, 95% CI: 0.2–1.7). Hemoglobin strongly correlated with r<sub>c</sub>SO<sub>2</sub> (rho = 0.62, <i>p</i> &lt; 0.01). Infants with lower r<sub>c</sub>SO<sub>2</sub> values tended to have a higher risk of abnormal GMs (<i>p</i> = 0.06). After adjusting for confounders, Hb on day 1 explained 44% of the variance of normal/abnormal GMs and r<sub>c</sub>SO<sub>2</sub> explained 17%. Regarding the explained variance of the GMOS, this was 25% and 16%, respectively. <b><i>Conclusions:</i></b> In preterm infants, low Hb on day 1 is associated with impaired neurological functioning on day 8, which is partly explained by low cerebral oxygenation.