cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25398/rd.northumbria.13143176.v2
title: OpenDoTT Current IoT Practices Dataset: ESR3 Communities and Neighbourhoods

description: This is one of the topics under <b>Open Design of Trusted Things</b> (OpenDoTT), a joint PhD programme between Northumbria University and Mozilla. The project moved from the University of Dundee where this research began. This dataset contains data collected from the research <b>Co-designing the Internet of Things with Communities</b>.<br><br><b>Aim</b><b><br></b>The overall aim of the PhD is to explore the potential use of Internet of Things (IoT) to support the creation and sustainment of community technology/infrastructure and other publicly shared objects. For the first year, the Dundee West End Community Fridge in Scotland was identified as a suitable case study for the research, while a community fridge in London and 4 other community-based organisations were interviewed to provide context. <br><b>Method</b><b><br></b>The research followed a mixed approach consisting of probes, interviews, shadowing, observing and a volunteer journey. Participants were recruited through a mix of a signup form, direct outreach, snowball sampling, recommendations and posts on Twitter and LinkedIn. <br>Semi-structured interviews (face-to-face, via Zoom and phone calls) were conducted with 26 participants, 18 of whom were based in the UK. To get a better understanding of the workings of the Community Fridge, the researcher opted to volunteer, observe and shadow volunteers and staff. Some activities were interrupted due to the COVID-19 pandemic. <br><b>Contents</b><br>- Interview transcripts and interview notes- Assorted photographs - Sample forms, documents and announcements- Participant recruitment tools- Probes (eventually not used due to restrictions during the pandemic)- Other data related to the research <br><b>Contact</b><br>The researcher (Sarah Kiden) can be contacted on sarah.kiden@northumbria.ac.uk. The project is supervised by Prof. Joyce Yee. <br><b>Funding</b><b><br></b>This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 813508. <br>
DOI: 10.25398/rd.northumbria.13143176.v1
title: OpenDoTT Current IoT Practices Dataset: ESR3 Communities and Neighbourhoods

description: This directory contains data generated during the first year of PhD research on <b>Communities and Neighbourhoods</b> within the <b>OpenDoTT</b> project (Open Design of Trusted Things).<br><br>Sarah Kiden’s research, Co-designing the Internet of Things with Communities, explores the potential use of the Internet of Things (IoT) to support the creation and sustainment of community technology/infrastructure and other publicly shared objects. For the first year, the Dundee West End Community Fridge in Scotland was identified as a suitable case study for the research, while a community fridge in London and four other community-based organisations were interviewed to provide context. <br>The research followed a mixed approach consisting of probes, interviews, shadowing, observing and a volunteer journey. Participants were recruited through a mix of a signup form, direct outreach, snowball sampling, recommendations and posts on Twitter and LinkedIn. Semi-structured interviews (face-to-face, via Zoom and phone calls) were conducted with 26 participants, 18 of whom were based in the UK. To get a better understanding of the workings of the Community Fridge, the researcher opted to volunteer, observe and shadow volunteers and staff. Some activities were interrupted due to the COVID-19 pandemic. <br>This dataset contains:<br>- Interview transcripts.<br>This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 813508.<br>
DOI: 10.25919/2tae-p361
title: North-West Shelf ROMS ocean model - his files (2015)

description: Hourly output of the NWS ROMS ocean model. Used to study circulation and marine heatwave developement in the Pilbara region.
DOI: 10.5281/zenodo.4467755
title: First detection of herpesvirus and mycoplasma in free-ranging Hermann's tortoises (Testudo hermanni), and in potential pet vectors

description: Two types of pathogens cause highly contagious upper respiratory tract diseases (URTD) in Chelonians: testudinid herpesviruses (TeHV) and a mycoplasma (<em>Mycoplasma agassizii</em>). In captivity, these infections are frequent and can provoke outbreaks. Pet trade generates international flow of tortoises, often without sanitary checking; individuals intentionally or accidentally released in the wild may spread pathogens. A better understanding of the transmission of infectious agents from captivity to wild tortoises is needed. Many exotic individuals have been introduced in populations of the endangered western Hermann’s tortoise (<em>Testudo hermanni hermanni</em>), notably spur-thighed tortoises (<em>Testudo graeca</em>). We assessed the presence of TeHV and mycoplasma in native western Hermann’s tortoises and in potential pet vectors in south-eastern France. Using a large sample (N=572 tortoises), this study revealed the worrying presence of herpesvirus in 7 free-ranging individuals (3 sub-populations). Additionally, <em>Mycoplasma agassizii</em> was detected in 15 of the 18 populations sampled with a frequency ranging from 2.5 to 25%. Exotic spur-thighed tortoises showed high frequency of <em>Mycoplasma </em>infection in captivity (18%) and in individuals (50%) found in native Hermann’s tortoise sub-populations, suggesting that this species could be a significant vector. The paucity of information of TeHV on European tortoise’ URTD in natural settings, especially in combination with mycoplasma, prompts for further studies. Indeed, sick tortoises remain concealed and may not be easily detected in the field. Our results indicate that both the prevalence and health impact of URTD are high should be scrutinized in the field.
DOI: 10.5281/zenodo.4467754
title: First detection of herpesvirus and mycoplasma in free-ranging Hermann's tortoises (Testudo hermanni), and in potential pet vectors

description: Two types of pathogens cause highly contagious upper respiratory tract diseases (URTD) in Chelonians: testudinid herpesviruses (TeHV) and a mycoplasma (<em>Mycoplasma agassizii</em>). In captivity, these infections are frequent and can provoke outbreaks. Pet trade generates international flow of tortoises, often without sanitary checking; individuals intentionally or accidentally released in the wild may spread pathogens. A better understanding of the transmission of infectious agents from captivity to wild tortoises is needed. Many exotic individuals have been introduced in populations of the endangered western Hermann’s tortoise (<em>Testudo hermanni hermanni</em>), notably spur-thighed tortoises (<em>Testudo graeca</em>). We assessed the presence of TeHV and mycoplasma in native western Hermann’s tortoises and in potential pet vectors in south-eastern France. Using a large sample (N=572 tortoises), this study revealed the worrying presence of herpesvirus in 7 free-ranging individuals (3 sub-populations). Additionally, <em>Mycoplasma agassizii</em> was detected in 15 of the 18 populations sampled with a frequency ranging from 2.5 to 25%. Exotic spur-thighed tortoises showed high frequency of <em>Mycoplasma </em>infection in captivity (18%) and in individuals (50%) found in native Hermann’s tortoise sub-populations, suggesting that this species could be a significant vector. The paucity of information of TeHV on European tortoise’ URTD in natural settings, especially in combination with mycoplasma, prompts for further studies. Indeed, sick tortoises remain concealed and may not be easily detected in the field. Our results indicate that both the prevalence and health impact of URTD are high should be scrutinized in the field.
DOI: 10.5281/zenodo.4467764
title: AXRX4F3-UPVEHUdecimated_Data_V1.csv

description: 5 sec recording of mains voltage. Original MAT file decimated to reduce sampling rate to 1MHz and converted to CSV file with writematrix() function. Use readmatrix() in Matlab to recover the original file.
description: This project 18NRM05 SupraEMI 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.
DOI: 10.5281/zenodo.4455429
title: AXRX4F3-UPVEHUdecimated_Data_V1.csv

description: 5 sec recording of mains voltage. Original MAT file decimated to reduce sampling rate to 1MHz and converted to CSV file with writematrix() function. Use readmatrix() in Matlab to recover the original file.
description: This project 18NRM05 SupraEMI 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.
DOI: 10.6084/m9.figshare.13643042
title: Supplementary Material for: Clinical Characteristics, Molecular Features, and Long-Term Follow-Up of 15 Patients with Neonatal Diabetes: A Single-Centre Experience

description: <b><i>Background:</i></b> Diabetes diagnosed within the first 6 months of life is defined as neonatal diabetes mellitus (NDM). Mutations in the <i>KCNJ11</i>, <i>ABCC8,</i> and <i>INS</i> genes are the most common cause of permanent NDM. In populations with a high rate of consanguinity, Wolcott-Rallison syndrome caused by biallelic <i>EIF2AK3</i> mutations is common. <b><i>Methods:</i></b> We studied the clinical characteristics and underlying genetic cause of disease in 15 individuals with diabetes onset before 6 months of age as defined by sustained hyperglycaemia requiring insulin treatment. Patients who had a remission of the diabetes, defined by a normal blood glucose and HbA1c value without insulin or sulphonylurea (SU) treatment, within the first 18 months of life were classified as having transient NDM (TNDM). <b><i>Results:</i></b> We report 15 patients with NDM from 14 unrelated families, including 10 with reported parental consanguinity. 1/15 patients had a remission of diabetes, leading to a diagnosis of TNDM. Mutations were detected in 80% (<i>n</i> = 12/15) of the cohort (<i>ABCC8</i> [<i>n</i> = 4], <i>PTF1A</i>-distal enhancer [<i>n</i> = 3], <i>KCNJ11</i> [<i>n</i> = 2], <i>EIF2AK3</i> [<i>n</i> = 1], <i>INS</i> [<i>n</i> = 1], and <i>SLC19A2</i> [<i>n</i> = 1]). All cases were initially treated with multiple dose insulin injections. One patient with an <i>ABCC8</i> mutation transitioned from insulin to SU resulting in improved metabolic control at the age of 20 years. <b><i>Conclusion:</i></b> Although the number of individuals born to consanguineous parents was considerably high in this cohort, KATP channel mutations (<i>ABCC8</i>/<i>KCNJ11</i>) were more common than <i>EIF2AK3</i> mutations (<i>n</i> = 6 vs. <i>n</i> = 1). Genetic analyses should be performed in all NDM cases due to the potential impact on treatment and prognosis.
DOI: 10.6084/m9.figshare.13643042.v1
title: Supplementary Material for: Clinical Characteristics, Molecular Features, and Long-Term Follow-Up of 15 Patients with Neonatal Diabetes: A Single-Centre Experience

description: <b><i>Background:</i></b> Diabetes diagnosed within the first 6 months of life is defined as neonatal diabetes mellitus (NDM). Mutations in the <i>KCNJ11</i>, <i>ABCC8,</i> and <i>INS</i> genes are the most common cause of permanent NDM. In populations with a high rate of consanguinity, Wolcott-Rallison syndrome caused by biallelic <i>EIF2AK3</i> mutations is common. <b><i>Methods:</i></b> We studied the clinical characteristics and underlying genetic cause of disease in 15 individuals with diabetes onset before 6 months of age as defined by sustained hyperglycaemia requiring insulin treatment. Patients who had a remission of the diabetes, defined by a normal blood glucose and HbA1c value without insulin or sulphonylurea (SU) treatment, within the first 18 months of life were classified as having transient NDM (TNDM). <b><i>Results:</i></b> We report 15 patients with NDM from 14 unrelated families, including 10 with reported parental consanguinity. 1/15 patients had a remission of diabetes, leading to a diagnosis of TNDM. Mutations were detected in 80% (<i>n</i> = 12/15) of the cohort (<i>ABCC8</i> [<i>n</i> = 4], <i>PTF1A</i>-distal enhancer [<i>n</i> = 3], <i>KCNJ11</i> [<i>n</i> = 2], <i>EIF2AK3</i> [<i>n</i> = 1], <i>INS</i> [<i>n</i> = 1], and <i>SLC19A2</i> [<i>n</i> = 1]). All cases were initially treated with multiple dose insulin injections. One patient with an <i>ABCC8</i> mutation transitioned from insulin to SU resulting in improved metabolic control at the age of 20 years. <b><i>Conclusion:</i></b> Although the number of individuals born to consanguineous parents was considerably high in this cohort, KATP channel mutations (<i>ABCC8</i>/<i>KCNJ11</i>) were more common than <i>EIF2AK3</i> mutations (<i>n</i> = 6 vs. <i>n</i> = 1). Genetic analyses should be performed in all NDM cases due to the potential impact on treatment and prognosis.
DOI: 10.6084/m9.figshare.13643039
title: Supplementary Material for: Probability of Prostate Cancer Diagnosis following Negative Systematic and Targeted MRI: Transrectal Ultrasound Fusion Biopsy: A Real-Life Observational Study

description: <b><i>Introduction:</i></b> The risk of occult prostate carcinoma (PCa) after negative multiparametric MRI (mpMRI)-transrectal fusion biopsy (F-Bx) is unknown. To determine the false-negative predictive value, we examined PCa detection after prior negative F-Bx. <b><i>Methods:</i></b> Between December 2012 and November 2016, 491 patients with suspected PCa and suspicious mpMRI findings underwent transrectal F-Bx. Patients with benign pathology (<i>n</i> = 191) were eligible for our follow-up (FU) survey. Patient characteristics and clinical parameters were correlated to subsequent findings of newly detected PCa. <b><i>Results:</i></b> Complete FU with a median of 31 (interquartile range: 17–39) months was available for 176/191 (92.2%) patients. Of those, 54 men had either surgical interventions on the prostate or re-Bxs. Newly detected PCa was evident in 14/176 (7.95%) patients stratified to ISUP ≤2 in 10 and ≥3 in 4 cases. The comparison of patients with newly detected PCa to those without cancerous findings in FU showed significant differences in prostate-specific antigen (PSA) density (0.16 vs. 0.13 ng/mL<sup>2</sup>) and prostate volume (45 vs. 67 mL, both <i>p</i> &lt; 0.05). Both factors are significant predictors for newly detected cancer after initial negative F-Bx. <b><i>Conclusion:</i></b> Only PSA density (&gt;0.13 ng/mL<sup>2</sup>) and small prostate volume are significant predictors for newly detected PCa after initial negative F-Bx. Despite negative mpMRI/TRUS F-Bx results, patients should be further monitored due to a risk of developing PCa over time. Notwithstanding the limitation of our study that not all patients underwent another Bx, we assume that the false-negative rate is low but existing. Our data represent a real-world scenario.
DOI: 10.5281/zenodo.4467771
title: AXRX4F3_UPVEHU_Data_V1.csv

description: 5 sec recording of mains voltage. Original MAT file converted to CSV file with writematrix() function. Use readmatrix() in Matlab to recover the original file.
description: This project 18NRM05 SupraEMI 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.
DOI: 10.5281/zenodo.4456322
title: AXRX4F3_UPVEHU_Data_V1.csv

description: 5 sec recording of mains voltage. Original MAT file converted to CSV file with writematrix() function. Use readmatrix() in Matlab to recover the original file.
description: This project 18NRM05 SupraEMI 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.
DOI: 10.6084/m9.figshare.13643045
title: supplementary materials

description: Raw data and statistical analysis of neonatal intestinal and pharynx microbiota
DOI: 10.6084/m9.figshare.13643045.v1
title: supplementary materials

description: Raw data and statistical analysis of neonatal intestinal and pharynx microbiota
DOI: 10.5281/zenodo.4454960
title: PVinverter_UPVEHU_Data_V1.csv

description: 5 sec recording of mains voltage with a PV inverter (switching frequency at around 20 kHz). Original MAT file converted to CSV file with writematrix() function. Use readmatrix() in Matlab to recover the original file.
description: This project 18NRM05 SupraEMI 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.
DOI: 10.5281/zenodo.4467777
title: AXRX7F3_UPVEHU_Data_V1.csv

description: 5 sec recording of mains voltage. Original MAT file converted to CSV file with writematrix() function. Use readmatrix() in Matlab to recover the original file.
description: This project 18NRM05 SupraEMI 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.
DOI: 10.5281/zenodo.4456327
title: AXRX7F3_UPVEHU_Data_V1.csv

description: 5 sec recording of mains voltage. Original MAT file converted to CSV file with writematrix() function. Use readmatrix() in Matlab to recover the original file.
description: This project 18NRM05 SupraEMI 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.
DOI: 10.5281/zenodo.4467784
title: AXRX8F2_UPVEHU_Data_V1.csv

description: 5 sec recording of mains voltage. Original MAT file converted to CSV file with writematrix() function. Use readmatrix() in Matlab to recover the original file.
description: This project 18NRM05 SupraEMI 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.
DOI: 10.5281/zenodo.4456329
title: AXRX8F2_UPVEHU_Data_V1.csv

description: 5 sec recording of mains voltage. Original MAT file converted to CSV file with writematrix() function. Use readmatrix() in Matlab to recover the original file.
description: This project 18NRM05 SupraEMI 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.
DOI: 10.5281/zenodo.4462149
title: Characterizing Highly Cited Papers in Mass Cytometry through H-Classics: WoS dataset and citation report

description: Dataset and citation report extracted from Web of Science (WoS) used to characterize highly cited papers in mass cytometry research field from 2010 to 2019.
DOI: 10.5281/zenodo.4462148
title: Characterizing Highly Cited Papers in Mass Cytometry through H-Classics: WoS dataset and citation report

description: Dataset and citation report extracted from Web of Science (WoS) used to characterize highly cited papers in mass cytometry research field from 2010 to 2019.
DOI: 10.1285/i11211156a34n2pi
title: Copertina
DOI: 10.15161/oar.it/73429
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.13145/bacdive146067.20191129.4.1
title: Neisseria mucosa

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive146068.20191129.4.1
title: Arcanobacterium haemolyticum

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive146069.20191129.4.1
title: Hafnia alvei

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive146070.20191129.4.1
title: Aggregatibacter aphrophilus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive146071.20191129.4.1
title: Moraxella atlantae

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive146072.20191129.4.1
title: Pseudomonas stutzeri

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive146073.20191129.4.1
title: Rothia mucilaginosa

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive146074.20191129.4.1
title: Aeromonas eucrenophila

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive146075.20191129.4.1
title: Aeromonas eucrenophila

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive146076.20191129.4.1
title: Aeromonas eucrenophila

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive146077.20191129.4.1
title: Aeromonas eucrenophila

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive146078.20191129.4.1
title: Aeromonas encheleia

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive146079.20191129.4.1
title: Aeromonas encheleia

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive146080.20191129.4.1
title: Aeromonas eucrenophila

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive146081.20191129.4.1
title: Aeromonas jandaei

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive146082.20191129.4.1
title: Aeromonas jandaei

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive146083.20191129.4.1
title: Aeromonas jandaei

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive146084.20191129.4.1
title: Aeromonas jandaei

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive146085.20191129.4.1
title: Aeromonas jandaei

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.