cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7433146
title: URInary peptidomic patterns of Long-COVID syndrome "UriCoV"

description: Post acute sequelae of SARS-CoV-2 infection (PASC), also referred to as long COVID, is the most frequent, yet poorly characterized sequelae of COVID-19. It has tremendous, unpredictable consequences on personal health and socioeconomic status of affected individuals, and on global economic issues. UriCov is a multidisciplinary, comprehensive project with the aim to investigate in depth the molecular phenotype(s) of individual patients previously infected by SARS-CoV-2 and identify patients at risk of PASC. This will be achieved through multi-disciplinary research based on omics and clinical data in a bioinformatics framework, based on the hypothesis that endothelial damage is a key event in PASC. The developed molecular tools may allow patient stratification to initiate personalized treatment for prevention of PASC prior to symptoms and to decrease the PASC incidence. UriCoV will also provide missing fundamental knowledge on the molecular pathophysiology of PASC.
DOI: 10.5281/zenodo.7436735
title: Batang dense seismic nodal array 2021

description: eventBT.zip includes all 3-components waveform used to calculate receiver function. BTRF25.zip, BTRF35.zip and BTRF50.zip are receiver functions with Gaussian factor 2.5, 3.5 and 5.0, respectively.
DOI: 10.5281/zenodo.7436734
title: Batang dense seismic nodal array 2021

description: eventBT.zip includes all 3-components waveform used to calculate receiver function. BTRF25.zip, BTRF35.zip and BTRF50.zip are receiver functions with Gaussian factor 2.5, 3.5 and 5.0, respectively.
DOI: 10.5281/zenodo.7436747
title: CBDC- Case of CBRT

description: NCapture files of CBRT and ECB
DOI: 10.5281/zenodo.7436746
title: CBDC- Case of CBRT

description: NCapture files of CBRT and ECB
DOI: 10.6084/m9.figshare.21723962.v1
title: Supplementary Material for: Myo-Inositol Enhances the Inhibitory Effect of Metformin on Gonadotropin Levels in Postmenopausal Women

description: <b><i>Objectives:</i></b> Metformin decreased circulating levels of anterior pituitary hormones and its effect on thyrotropin concentration was found to be stronger in individuals receiving myo-inositol. Phospholipids containing inositols are precursors of second messengers of several hormones, including gonadotropins and insulin. The aim of the current study was to investigate whether the concomitant use of myo-inositol changes the effect of metformin on gonadotropin levels. <b><i>Design:</i></b> A prospective observational study. <b><i>Participants/Materials, Setting, and Methods:</i></b> This study, conducted at a university-affiliated medical center, included two groups of postmenopausal women with prediabetes, matched for age, FSH and LH levels, and insulin sensitivity: women taking myo-inositol preparations for at least 6 months (group A, <i>n</i> = 23) and women not receiving inositol preparations (group B, <i>n</i> = 23). All participants were treated with metformin (850 mg twice daily) for the following 6 months. At the beginning and at the end of the study, we assessed plasma glucose, insulin, FSH, LH, thyrotropin, prolactin, adrenocorticotropic hormone, insulin-like growth factor-1, estradiol, and glycated hemoglobin. <b><i>Results:</i></b> The impact of metformin on glucose levels, the homeostatic model assessment 1 of insulin resistance ratio, and glycated hemoglobin was more pronounced in group A than in group B. Metformin administered with myo-inositol reduced both FSH and LH. No significant changes in gonadotropin levels were observed in women receiving only metformin. The impact on FSH and LH levels correlated with their baseline concentrations and with the degree of improvement in insulin sensitivity. Levels of the remaining hormones did not change throughout the study. <b><i>Limitations:</i></b> The most important limitation of the study is a relatively small number of participants. Moreover, the study protocol does not allow to conclude whether similar effects are observed in premenopausal women. <b><i>Conclusions:</i></b> Myo-inositol may enhance the inhibitory effect of metformin on gonadotropin production in postmenopausal women.
DOI: 10.25403/upresearchdata.21709973
title: Moderation analysis of grit, study demands, student engagement and well-being

description: This dataset is for dissertation titled 'Engagement and well-being in tertiary students: the relashionship between study demands and grit'. A quantitative cross-sectional survey-based design was used to obtain the data. Quantitative data were collected through the administration of an online survey over three months. The data was analysed using IBM SPSS to conduct preliminary and confirmatory factor analysis, descriptive statistics and correlations, regression and moderation analysis to determine whether grit could moderate the negative impact of study demands on student engagement and well-being.
DOI: 10.25403/upresearchdata.21709973.v1
title: Moderation analysis of grit, study demands, student engagement and well-being

description: This dataset is for dissertation titled 'Engagement and well-being in tertiary students: the relashionship between study demands and grit'. A quantitative cross-sectional survey-based design was used to obtain the data. Quantitative data were collected through the administration of an online survey over three months. The data was analysed using IBM SPSS to conduct preliminary and confirmatory factor analysis, descriptive statistics and correlations, regression and moderation analysis to determine whether grit could moderate the negative impact of study demands on student engagement and well-being.
DOI: 10.5281/zenodo.7436741
title: Dataset supporting publication: "Development and Validation of Analytical Solutions for Earth Basket (Spiral) Heat Exchangers"

description: Dataset supporting publication: “Development and Validation of Analytical Solutions for Earth Basket (Spiral) Heat Exchangers” (publication available for download:GEOFIT Zenodo). This paper presents an analytical solution and its validation for earth basket (vertical spiral) ground heat<br> exchangers. The model, based on the well known Finite Line Source Equation, accounts for the heat exchanger pipe diameter and seasonally varying near surface temperature. For computational efficiency the standard approach of using G-functions has been implemented as well. The analytical model is validated based on laboratory experiments and extensive CFD analysis.
DOI: 10.5281/zenodo.7436740
title: Dataset supporting publication: "Development and Validation of Analytical Solutions for Earth Basket (Spiral) Heat Exchangers"

description: Dataset supporting publication: “Development and Validation of Analytical Solutions for Earth Basket (Spiral) Heat Exchangers” (publication available for download:GEOFIT Zenodo). This paper presents an analytical solution and its validation for earth basket (vertical spiral) ground heat<br> exchangers. The model, based on the well known Finite Line Source Equation, accounts for the heat exchanger pipe diameter and seasonally varying near surface temperature. For computational efficiency the standard approach of using G-functions has been implemented as well. The analytical model is validated based on laboratory experiments and extensive CFD analysis.
DOI: 10.5517/ccdc.csd.cc27mk4l
title: CCDC 2074369: Experimental Crystal Structure Determination

description: Related Article: Valiallah Hosseininasab, Ida M. DiMucci, Pokhraj Ghosh, Jeffery A. Bertke, Siddarth Chandrasekharan, Charles J. Titus, Dennis Nordlund, Jack H. Freed, Kyle M. Lancaster, Timothy H. Warren|2022|Nature Chemistry|14|1265|doi:10.1038/s41557-022-01025-9
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: 10.5281/zenodo.7434252
title: Dataset of the publication "Theory and Experimental Validation of Two Techniques for Compensating VT Nonlinearities"

description: This is a dataset for paper published: G. D’Avanzo <em>et al</em>., "Theory and Experimental Validation of Two Techniques for Compensating VT Nonlinearities," in <em>IEEE Transactions on Instrumentation and Measurement</em>, vol. 71, pp. 1-12, 2022, Art no. 9001312, doi: 10.1109/TIM.2022.3147883. Excel file provides data for VT_B.
description: "This project 19NRM05 IT4PQ has received funding from the EMPIR programme co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation programme". Funder name: European Metrology Programme for Innovation and Research (EMPIR) Funder ID: 10.13039/100014132.
DOI: 10.5281/zenodo.7434251
title: Dataset of the publication "Theory and Experimental Validation of Two Techniques for Compensating VT Nonlinearities"

description: This is a dataset for paper published: G. D’Avanzo <em>et al</em>., "Theory and Experimental Validation of Two Techniques for Compensating VT Nonlinearities," in <em>IEEE Transactions on Instrumentation and Measurement</em>, vol. 71, pp. 1-12, 2022, Art no. 9001312, doi: 10.1109/TIM.2022.3147883. Excel file provides data for VT_B.
description: "This project 19NRM05 IT4PQ has received funding from the EMPIR programme co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation programme". Funder name: European Metrology Programme for Innovation and Research (EMPIR) Funder ID: 10.13039/100014132.
DOI: 10.5281/zenodo.7436797
title: Dataset supporting publications: "Discrete Element Modelling of Rock Drilling" and "Towards Discrete Element Modelling of Rock Drilling"

description: Dataset supporting publications: Paper - “Discrete Element Modelling of Rock Drilling” and Thesis - “Towards Discrete Element Modelling of Rock Drilling” (both publications available in Zenodo: paper, thesis) Dataset used: Wear test datasets as described in T2.3.1 for the improvement of drilling efficiency via the selection of optimal drill bits (D5), Mechanical properties rock/soil (D29), Datasets resultant from numerical simulations of the drilling operation in T7.2-5 (D33) Percussive rotary drilling is recognized as the most efficient method for hard rock drilling. Despite clear advantages over conventional rotary methods, there are still some uncertainties associated with percussive drilling. For geothermal applications, drilling accounts for a large portion of the total cost. Specifically, the wear of drill bits when drilling in hard rock is a predominant cost factor and drilling parameters are often based on the experience of the field operator. Within the framework of the H2020 project GEOFIT, numerical simulations of percussive drilling are performed in order to evaluate the rock drilling process and gain insight about the trade-off between wear and Rate of Penetration (ROP). In the simulations, the rock material was represented by the Bonded Discrete Element Method (BDEM), the drill bit by the Finite Element Method (FEM), the drilling fluid by the Particle Finite Element Method (PFEM) and the abrasive wear on the surface of the drill bit was represented by Archard’s wear law. The drilling simulations were conducted for two rock materials; a sedimentary rock material corresponding to what was found when drilling at the GEOFIT pilot site in Aran Islands, Ireland, and a harder reference rock similar to granite. The results show that, at a drill bit impact force of 10 kN, the ROP in the sedimentary rock was 6.3 times faster than for granite. When increasing the impact force to 40 and 50 kN, however, the ROP for the sedimentary rock is only 1.9 and 1.6 times faster, respectively. Furthermore, the wear rate decreased with increased impact force when drilling in the granite rock. For the sedimentary rock, however, the loading resulting in the best trade-off between abrasive wear and ROP was the second highest loading of 40 kN, which suggests that an increase in impact energy may increase the rate of penetration but may not be economically motivated.
DOI: 10.5281/zenodo.7436796
title: Dataset supporting publications: "Discrete Element Modelling of Rock Drilling" and "Towards Discrete Element Modelling of Rock Drilling"

description: Dataset supporting publications: Paper - “Discrete Element Modelling of Rock Drilling” and Thesis - “Towards Discrete Element Modelling of Rock Drilling” (both publications available in Zenodo: paper, thesis) Dataset used: Wear test datasets as described in T2.3.1 for the improvement of drilling efficiency via the selection of optimal drill bits (D5), Mechanical properties rock/soil (D29), Datasets resultant from numerical simulations of the drilling operation in T7.2-5 (D33) Percussive rotary drilling is recognized as the most efficient method for hard rock drilling. Despite clear advantages over conventional rotary methods, there are still some uncertainties associated with percussive drilling. For geothermal applications, drilling accounts for a large portion of the total cost. Specifically, the wear of drill bits when drilling in hard rock is a predominant cost factor and drilling parameters are often based on the experience of the field operator. Within the framework of the H2020 project GEOFIT, numerical simulations of percussive drilling are performed in order to evaluate the rock drilling process and gain insight about the trade-off between wear and Rate of Penetration (ROP). In the simulations, the rock material was represented by the Bonded Discrete Element Method (BDEM), the drill bit by the Finite Element Method (FEM), the drilling fluid by the Particle Finite Element Method (PFEM) and the abrasive wear on the surface of the drill bit was represented by Archard’s wear law. The drilling simulations were conducted for two rock materials; a sedimentary rock material corresponding to what was found when drilling at the GEOFIT pilot site in Aran Islands, Ireland, and a harder reference rock similar to granite. The results show that, at a drill bit impact force of 10 kN, the ROP in the sedimentary rock was 6.3 times faster than for granite. When increasing the impact force to 40 and 50 kN, however, the ROP for the sedimentary rock is only 1.9 and 1.6 times faster, respectively. Furthermore, the wear rate decreased with increased impact force when drilling in the granite rock. For the sedimentary rock, however, the loading resulting in the best trade-off between abrasive wear and ROP was the second highest loading of 40 kN, which suggests that an increase in impact energy may increase the rate of penetration but may not be economically motivated.
DOI: 10.5281/zenodo.7417870
title: Bergmiller et al Raw mRNA Diffusion Data

description: Raw tracking data of mRNA particle diffusion in E. coli
DOI: 10.5281/zenodo.7417869
title: Bergmiller et al Raw mRNA Diffusion Data

description: Raw tracking data of mRNA particle diffusion in E. coli
DOI: 10.6084/m9.figshare.21723959
title: MD972-142 data.XLSX

description: Sedimentary bulk nitrogen and organic nitrogen isotope compositions were measured with an elemental analyzer coupled with isotope ratio mass spectrometer (EA (vario PYRO cube)-IRMS (Isoprime 100). Samples belong to the core MD97-2142 which was taken during the MARION DUFRESNE cruise MD106 IMAGES III-IPHIS in 1997.
DOI: 10.6084/m9.figshare.21723959.v1
title: MD972-142 data.XLSX

description: Sedimentary bulk nitrogen and organic nitrogen isotope compositions were measured with an elemental analyzer coupled with isotope ratio mass spectrometer (EA (vario PYRO cube)-IRMS (Isoprime 100). Samples belong to the core MD97-2142 which was taken during the MARION DUFRESNE cruise MD106 IMAGES III-IPHIS in 1997.
DOI: 10.5281/zenodo.6646488
title: Perceived sound quality of hearing aids with varying placements of microphone and receiver

description: This is the raw data for the paper published by the above authors in the American Journal of Audiology in 2022.
DOI: 10.5281/zenodo.6646487
title: Perceived sound quality of hearing aids with varying placements of microphone and receiver

description: This is the raw data for the paper published by the above authors in the American Journal of Audiology in 2022.
DOI: 10.11583/dtu.11920416
title: ASIP Sea Ice Dataset - version 1

description: The ASIP Sea Ice Dataset - version 1, contains 912 Sentinel-1 (S1) Synthetic Aperture Radar (SAR) scenes matched with sea ice charts produced by the Danish Meteorological Institute from 2014-2017. <br>Ice charts containing sea ice concentrations provided in manual drawn polygon over the scene has been projected into the the S1 geometry for easy use as labels in deep learning or other machine learning algorithm training processes. <br>The dataset also includes AMSR2 microwave radiometer sensor measurements to compliment the learning of the of sea ice concentrations although in a much lower resolution than the S1 data.<br>Details are described in the manual that is published together with the dataset.<br>
DOI: 10.17028/rd.lboro.21473463.v2
title: Supplementary information files for: Body mapping of skin friction coefficient and tactile perception during the dynamic skin-textile interaction

description: <strong>Supplementary information files for: Body mapping of skin friction coefficient and tactile perception during the dynamic skin-textile interaction</strong> The clothing fabric and skin interact continuously across the many regions on users` bodies during wear, which can lead to both physical skin damage and discomfort. Therefore, this investigation aimed to explore the regional differences in skin friction, tactile perception and sensitivity in both females and males during the skin-textile interaction. The static and dynamic friction coefficient and textile perceptions (texture, stickiness, pleasantness, and discomfort) were measured across the 36 selected testing body areas by using a friction measurement device. The results revealed there was a significant difference in skin friction, tactile perceptions, and sensitivity across the various body regions. The anterior neck had the highest skin friction in both females and males, and participants generally rated higher texture perception in their anterior aspects compared to posterior and lateral regions. There was no significant difference in skin friction, tactile perception ratings, and sensitivity between females and males.
DOI: 10.17028/rd.lboro.21473463
title: Supplementary information files for: Body mapping of skin friction coefficient and tactile perception during the dynamic skin-textile interaction

description: <strong>Supplementary information files for: Body mapping of skin friction coefficient and tactile perception during the dynamic skin-textile interaction</strong> The clothing fabric and skin interact continuously across the many regions on users` bodies during wear, which can lead to both physical skin damage and discomfort. Therefore, this investigation aimed to explore the regional differences in skin friction, tactile perception and sensitivity in both females and males during the skin-textile interaction. The static and dynamic friction coefficient and textile perceptions (texture, stickiness, pleasantness, and discomfort) were measured across the 36 selected testing body areas by using a friction measurement device. The results revealed there was a significant difference in skin friction, tactile perceptions, and sensitivity across the various body regions. The anterior neck had the highest skin friction in both females and males, and participants generally rated higher texture perception in their anterior aspects compared to posterior and lateral regions. There was no significant difference in skin friction, tactile perception ratings, and sensitivity between females and males.
DOI: 10.17028/rd.lboro.21473463.v1
title: Supplementary information files for: Body mapping of skin friction coefficient and tactile perceptions during the dynamic skin-textile interaction

description: <strong>Supplementary information files for: Body mapping of skin friction coefficient and tactile perceptions during the dynamic skin-textile interaction</strong> The clothing fabric and skin interact continuously across the many regions on users` bodies during wear, which can lead to both physical skin damage and discomfort. Therefore, this investigation aimed to explore the regional differences in skin friction, tactile perception and sensitivity in both females and males during the skin-textile interaction. The static and dynamic friction coefficient and textile perceptions (texture, stickiness, pleasantness, and discomfort) were measured across the 36 selected testing body areas by using a friction measurement device. The results revealed there was a significant difference in skin friction, tactile perceptions, and sensitivity across the various body regions. The anterior neck had the highest skin friction in both females and males, and participants generally rated higher texture perception in their anterior aspects compared to posterior and lateral regions. There was no significant difference in skin friction, tactile perception ratings, and sensitivity between females and males.
DOI: 10.23729/52f3dd01-9c65-4c63-ba28-c276caf1b503
title: Kysely ammattikorkeakoulun esihenkilöille johtamisosaamisesta ja työn kuormitustekijöistä

description: Tutkimuksen kohteena olevassa ammattikorkeakoulussa sovellettiin ja mallinnettiin esihenkilöiden ammatillisen kasvun tukemiseksi vertaisryhmämentorointia. Prosessin suunnittelemiseksi ja lähtökohtatilanteen selvittämiseksi toteutettiin ammattikorkeakoulun kaikille esihenkilöille syksyllä 2020 kysely (n=83), jossa vastaajilta (n=52) selvitettiin johtamisosaamistarpeita ja työn kuormitustekijöitä. Kysely toteuttiin Webropol-kyselynä viisiportaisen Likert-asteikon mukaan, ja tulosten esittämisessä käytettiin kuvailevia tilastollisia menetelmiä. Aineisto on anonymisoitu. Kysely oli osa Esihenkilöiden ammatillisen kasvun tukeminen vertaisryhmämentoroinnin avulla -hanketta, jonka rahoittaja oli Työsuojelurahasto.
DOI: 10.11583/dtu.13011134.v1
title: AI4Arctic / ASIP Sea Ice Dataset - version 2

description: The AI4Arctic / ASIP Sea Ice Dataset - version 2 (ASID-v2) contain 461 Sentinel-1 Synthetic Aperture Radar (SAR) scenes matched with sea ice charts produced by the Danish Meteorological Institute in 2018-2019. Ice charts contain sea ice concentration, stage of development and form of ice, provided in manual drawn polygons. The ice charts have been projected into the the S1 geometry for easy use as labels in deep learning or other machine learning algorithm training processes. The dataset also includes AMSR2 microwave radiometer sensor measurements to compliment the learning of the of sea ice concentrations although in a much lower resolution than the Sentinel-1 data. Details are described in the manual that is published together with the dataset.