cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/s9zh-7k23
title: Measurement data for the antenna

description: This paper presents a multi-wide band monopole antenna for automotive application in the Long-Term Evolution (LTE) and 5G systems that covers the frequency range from 617MHz to 5GHz with reasonable rejection on the L1/L2/L5 GNSS bands. The antenna is suitable for placement on a car roof within a shark-fin radome due to its physical dimensions and performance. The antenna is simulated using software and then fabricated and measured on a one-meter ground plane and on a vehicle roof. The measurement results of the fabricated prototype are presented and plotted in terms of VSWR, radiation patterns, antenna efficiency, and linear average gain (LAG). The proposed antenna shows very good properties that makes it suitable for the automotive industry.
DOI: 10.21227/k7wn-m156
title: Measurement data for the antenna

description: This paper presents a multi-wide band monopole antenna for automotive application in the Long-Term Evolution (LTE) and 5G systems that covers the frequency range from 617MHz to 5GHz with reasonable rejection on the L1/L2/L5 GNSS bands. The antenna is suitable for placement on a car roof within a shark-fin radome due to its physical dimensions and performance. The antenna is simulated using software and then fabricated and measured on a one-meter ground plane and on a vehicle roof. The measurement results of the fabricated prototype are presented and plotted in terms of VSWR, radiation patterns, antenna efficiency, and linear average gain (LAG). The proposed antenna shows very good properties that makes it suitable for the automotive industry.
DOI: 10.6084/m9.figshare.12040638
title: Metadata record for: Reference exome data for Australian Aboriginal populations to support health-based research

description: This dataset contains key characteristics about the data described in the Data Descriptor Reference exome data for Australian Aboriginal populations to support health-based research. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.12040638.v1
title: Metadata record for: Reference exome data for Australian Aboriginal populations to support health-based research

description: This dataset contains key characteristics about the data described in the Data Descriptor Reference exome data for Australian Aboriginal populations to support health-based research. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.12040602
title: The properties of mid-tropospheric CO2 and temperature network data

description: They are the propertise of CO2 network and temperature network for summer and winter season, respectively. Weighted links, time delay and cross correlation are contained.<br>
DOI: 10.6084/m9.figshare.12040602.v1
title: The properties of mid-tropospheric CO2 and temperature network data

description: They are the propertise of CO2 network and temperature network for summer and winter season, respectively. Weighted links, time delay and cross correlation are contained.<br>
DOI: 10.6084/m9.figshare.12040599
title: Tutorial 5 COVID-19 Chest X-ray images

description: The goal of the tutorial is to detect COVID-19 using X-ray images (source: https://github.com/ieee8023/covid-chestxray-dataset).<br>AIDeveloper (AID) is used to train a model that is able to distinguish x-ray images of healthy and sick individuals by first using two other datasets:- https://www.kaggle.com/paultimothymooney/chest-xray-pneumonia- https://stanfordmlgroup.github.io/competitions/chexpert/<br>Next, methods like data-augmentation, transfer learning, and adjusting dropout rates are used (all implemented in AID) are leveraged to cope with the (currently) small size of the COVID-19 dataset.<br><br>
DOI: 10.6084/m9.figshare.12040599.v1
title: Tutorial 5 COVID-19 Chest X-ray images

description: The goal of the tutorial is to detect COVID-19 using X-ray images (source: https://github.com/ieee8023/covid-chestxray-dataset).<br>AIDeveloper (AID) is used to train a model that is able to distinguish x-ray images of healthy and sick individuals by first using two other datasets:- https://www.kaggle.com/paultimothymooney/chest-xray-pneumonia- https://stanfordmlgroup.github.io/competitions/chexpert/<br>Next, methods like data-augmentation, transfer learning, and adjusting dropout rates are used (all implemented in AID) are leveraged to cope with the (currently) small size of the COVID-19 dataset.<br><br>
DOI: 10.6084/m9.figshare.12040563
title: The properties of mid-tropospheric CO2 and temperature network data

description: CO2 network datasets and temperature network data sets<br>
DOI: 10.6084/m9.figshare.12040563.v1
title: The properties of mid-tropospheric CO2 and temperature network data

description: CO2 network datasets and temperature network data sets<br>
DOI: 10.6084/m9.figshare.12040563.v3
title: The properties of mid-tropospheric CO2 and temperature network data

description: CO2 network datasets and temperature network data sets<br>
DOI: 10.6084/m9.figshare.12040563.v2
title: The properties of mid-tropospheric CO2 and temperature network data

description: CO2 network datasets and temperature network data sets<br>
DOI: 10.6084/m9.figshare.12040401
title: microalgae nanomaterials interaction - data.xlsx

description: Flow cytometry analysis of granularity of freshwater microalgae. This document shows the percentage of modified granularity (compared to a control population) of exposed algae to metallic oxide nanomaterials.
DOI: 10.6084/m9.figshare.12040257
title: Villin trajectory

description: for analysing a protein folding process, in this case, of the protein Villin.
DOI: 10.6084/m9.figshare.12040134
title: RNAseq data

description: Mice with cardiomyocyte-specific knockout of Fth gene were generated. Whole-genome gene expression analysis was performed using heart tissues obtained from normal diet-fed and high-iron diet-fed control and KO mice (n=3 per group). Total RNA was extracted using Trizol, and cDNA samples were sequenced using a HiSeq3000 sequencing system. The reference Mus musculus genome and gene information were downloaded from the National Center for Biotechnology Information (NCBI) database. Raw reads were filtered to produce high-quality clean data from which all subsequent analyses were performed.
DOI: 10.6084/m9.figshare.12040104
title: CODATA-RDA Schools for Research Data Science Alumni Survey results 2020

description: Survey of 2016 - 2019 alumni from CODATA-RDA Schools for Research Data Science
DOI: 10.6084/m9.figshare.12040104.v1
title: CODATA-RDA Schools for Research Data Science Alumni Survey results 2020

description: Survey of 2016 - 2019 alumni from CODATA-RDA Schools for Research Data Science
DOI: 10.6084/m9.figshare.12040134.v1
title: RNAseq data

description: Mice with cardiomyocyte-specific knockout of Fth gene were generated. Whole-genome gene expression analysis was performed using heart tissues obtained from normal diet-fed and high-iron diet-fed control and KO mice (n=3 per group). Total RNA was extracted using Trizol, and cDNA samples were sequenced using a HiSeq3000 sequencing system. The reference Mus musculus genome and gene information were downloaded from the National Center for Biotechnology Information (NCBI) database. Raw reads were filtered to produce high-quality clean data from which all subsequent analyses were performed.
DOI: 10.6084/m9.figshare.12040074
title: Supplementary Table 2 - 4

description: Supplementary Table 2 - 4
DOI: 10.6084/m9.figshare.12040074.v1
title: Supplementary Table 3 and 4

description: See manuscript for details
DOI: 10.6084/m9.figshare.12040026
title: A multivariate prognostic model for pain and activity limitation in people undergoing lumbar discectomy

description: <b>Purpose:</b> The purpose of this study was to identify a multivariate predictive model for 6-month outcomes on overall pain, leg pain and activity limitation in patients undergoing lumbar discectomy. Identification of predictors of outcome for lumbar discectomy has the potential to assist identifying treatment targets, clinical decision making and disease understanding. <b>Materials and methods:</b> Prospective cohort design. Ninety-seven patients deemed by study surgeons to be suitable for lumbar discectomy completed a comprehensive clinical and radiological baseline assessment. At 6-months post surgery outcome measures of overall and leg pain (visual analogue scale) as well as activity limitation (Oswestry Disability Index) were completed. Univariate and multivariate analyses were conducted to determine the best multivariate predictive model of outcome. <b>Results:</b> In the multivariate model, presence of a compensation claim, longer duration of injury and presence of below knee pain and/or parasthesia were negative prognostic indicators for at least two of the outcomes. Peripheralization in response to mechanical loading strategies was a positive prognostic indicator for overall pain and leg pain. A range of other prognostic indicators for one outcome were also identified. The prognostic model explained up to 32% of the variance in outcome. <b>Conclusions:</b> An 11-factor prognostic model was identified from a range of clinically and radiologically assessed variables in accordance with a biopsychosocial model. The multivariate model has potential implications for researchers and practitioners in the field. Further high quality research is required to externally validate the prognostic model, evaluate effect of the identified prognostic factors on treatment effectiveness and explore potential mechanisms of effect.
DOI: 10.6084/m9.figshare.12040026.v1
title: A multivariate prognostic model for pain and activity limitation in people undergoing lumbar discectomy

description: <b>Purpose:</b> The purpose of this study was to identify a multivariate predictive model for 6-month outcomes on overall pain, leg pain and activity limitation in patients undergoing lumbar discectomy. Identification of predictors of outcome for lumbar discectomy has the potential to assist identifying treatment targets, clinical decision making and disease understanding. <b>Materials and methods:</b> Prospective cohort design. Ninety-seven patients deemed by study surgeons to be suitable for lumbar discectomy completed a comprehensive clinical and radiological baseline assessment. At 6-months post surgery outcome measures of overall and leg pain (visual analogue scale) as well as activity limitation (Oswestry Disability Index) were completed. Univariate and multivariate analyses were conducted to determine the best multivariate predictive model of outcome. <b>Results:</b> In the multivariate model, presence of a compensation claim, longer duration of injury and presence of below knee pain and/or parasthesia were negative prognostic indicators for at least two of the outcomes. Peripheralization in response to mechanical loading strategies was a positive prognostic indicator for overall pain and leg pain. A range of other prognostic indicators for one outcome were also identified. The prognostic model explained up to 32% of the variance in outcome. <b>Conclusions:</b> An 11-factor prognostic model was identified from a range of clinically and radiologically assessed variables in accordance with a biopsychosocial model. The multivariate model has potential implications for researchers and practitioners in the field. Further high quality research is required to externally validate the prognostic model, evaluate effect of the identified prognostic factors on treatment effectiveness and explore potential mechanisms of effect.
DOI: 10.6084/m9.figshare.12039945
title: 100 randomly chosen SATD comments predictions

description: 100 randomly chosen code comments, which ML model has deemed to have a SATD keyword with at least with 70% confidence.<br>
DOI: 10.6084/m9.figshare.12039945.v1
title: 100 randomly chosen SATD comments predictions

description: 100 randomly chosen code comments, which ML model has deemed to have a SATD keyword with at least with 70% confidence.<br>
DOI: 10.6084/m9.figshare.12039933
title: Models for Extracting Medical Entities from Text

description: Included are 3 pre-trained models on the 3 respective social media datasets: CADEC, Micromed, and MedRed, for extracting medical entities from text. <br>These models can be used in the GitHub repo:https://github.com/sanja7s/MedRed<br><br>More details in the publication: Extracting Medical Entities from Social Media.<br><br>Note: The files are large, around 1.7GB each.
DOI: 10.6084/m9.figshare.12039864
title: Supplementary Material for: Mnemoscape: Supporting Older Adults’ Event Memory Using Wearable Camera Photographs on an Immersive Interface

description: <b><i>Background:</i></b> Wearable camera photographs have been shown to be an effective memory aid in people with and without memory impairment. Most studies using wearable cameras as a memory aid have presented photographs on a computer monitor and used a written diary or no review as a comparison. In this pioneering study, we took a new and innovative approach to wearable camera photograph review that embeds the photographs within a virtual landscape. This approach may enhance these benefits by reinstating the original environmental context to increase participants’ sense of re-experiencing the event. <b><i>Objective:</i></b> We compare the traditional computer monitor presentation of wearable camera photographs and actively taken digital photographs with the presentation of wearable camera photographs in a new immersive interface that reinstates the spatiotemporal context. <b><i>Methods:</i></b> Healthy older adults wore wearable or took digital photographs during a staged event. The next day and 2 weeks later, they viewed wearable camera photographs on a computer monitor or in context on an immersive interface, or digital photographs. <b><i>Results:</i></b> Participants who viewed wearable camera photographs in either format recalled more details during photo viewing and subsequent free recall than participants who viewed digital photographs they had taken themselves. <b><i>Conclusion:</i></b> Wearable camera photographs are an effective support for event memory, regardless of whether they are presented in context in an experience-near format.
DOI: 10.6084/m9.figshare.12039864.v1
title: Supplementary Material for: Mnemoscape: Supporting Older Adults’ Event Memory Using Wearable Camera Photographs on an Immersive Interface

description: <b><i>Background:</i></b> Wearable camera photographs have been shown to be an effective memory aid in people with and without memory impairment. Most studies using wearable cameras as a memory aid have presented photographs on a computer monitor and used a written diary or no review as a comparison. In this pioneering study, we took a new and innovative approach to wearable camera photograph review that embeds the photographs within a virtual landscape. This approach may enhance these benefits by reinstating the original environmental context to increase participants’ sense of re-experiencing the event. <b><i>Objective:</i></b> We compare the traditional computer monitor presentation of wearable camera photographs and actively taken digital photographs with the presentation of wearable camera photographs in a new immersive interface that reinstates the spatiotemporal context. <b><i>Methods:</i></b> Healthy older adults wore wearable or took digital photographs during a staged event. The next day and 2 weeks later, they viewed wearable camera photographs on a computer monitor or in context on an immersive interface, or digital photographs. <b><i>Results:</i></b> Participants who viewed wearable camera photographs in either format recalled more details during photo viewing and subsequent free recall than participants who viewed digital photographs they had taken themselves. <b><i>Conclusion:</i></b> Wearable camera photographs are an effective support for event memory, regardless of whether they are presented in context in an experience-near format.
DOI: 10.21227/xdym-mr15
title: Measurement data for the 5G automotive antenna

description: This paper presents a multi-wide band monopole antenna for automotive application in the Long-Term Evolution (LTE) and 5G systems that covers the frequency range from 617MHz to 5GHz with reasonable rejection on the L1/L2/L5 GNSS bands. The antenna is suitable for placement on a car roof within a shark-fin radome due to its physical dimensions and performance. The antenna is simulated using software and then fabricated and measured on a one-meter ground plane and on a vehicle roof. The measurement results of the fabricated prototype are presented and plotted in terms of VSWR, radiation patterns, antenna efficiency, and linear average gain (LAG). The proposed antenna shows very good properties that makes it suitable for the automotive industry.
DOI: 10.6084/m9.figshare.12039711
title: Data

description: Transects of time-mean velocity and turbulence kinetic energy and patch distributions are summarized in the excel file. All data presented in the figures in the paper are provided in the word file. All data presented herein are from "Turbulence and bed-load transport in channels with randomly distributed emergent patches of model vegetation" by Shan et al. (2020) in <b>Geophysical Research Letters.</b>
DOI: 10.6084/m9.figshare.12039711.v2
title: Data

description: Transects of time-mean velocity and turbulence kinetic energy and patch distributions are summarized in the excel file. All data presented in the figures are provided in the word file. All data presented herein are from "Turbulence and bed-load transport in channels with randomly distributed emergent patches of model vegetation" by Shan et al. (2020) in <b>Geophysical Research Letters.</b>
DOI: 10.6084/m9.figshare.12039609
title: MedRed

description: A social media dataset of Reddit posts from health communities with medical entities of two types tagged: symptom and drug names.
DOI: 10.6084/m9.figshare.12039711.v1
title: Turbulence and bed-load transport in channels with randomly distributed emergent patches of model vegetation

description: Transects of time-mean velocity and turbulence kinetic energy and patch distributions are summarized in the excel file. All data presented in the figures are provided in the word file. All data presented herein are from "Turbulence and bed-load transport in channels with randomly distributed emergent patches of model vegetation" by Shan et al. (2020) in <b>Geophysical Research Letters.</b>
DOI: 10.6084/m9.figshare.12038943
title: Supplementary Material for: European Thyroid Association Survey on Use of Minimally Invasive Techniques for Thyroid Nodules

description: <b><i>Objective:</i></b> Image-guided interventional ultrasound (US) techniques represent diagnostic and therapeutic tools for non-surgical management of thyroid nodular disease. We sought to investigate the attitude of European Thyroid Association (ETA) members towards the use of minimally invasive techniques (MIT) in diagnosis/therapy of symptomatic nodular goitre. <b><i>Methods:</i></b> ETA members were invited to participate in an online survey investigating the use of MIT in benign and malignant thyroid nodular disease. Of 865 invited members, 221 (25.5%) completed the survey. The respondents were from 40 countries; 139 (74.7%) were from European countries. <b><i>Results:</i></b> Respondents personally performed thyroid US (91.6%), Fine needle aspiration (FNA; 75.3%), ethanol ablation (EA; 22.1%), core needle biopsy (CNB; 11%) and thermal treatments (4.8%). When skills and/or technology were unavailable, only 13.4% referred patients “often” or “always” to other centres with specific expertise in this field. Surgery was the preferred first option in patients with recurrent cysts, 4.0 cm benign nodules, local (radioiodine-avid or non-avid) lymph node metastases, or papillary cancers &lt;1.0 cm. For autonomously functioning nodules radioactive iodine treatment was the preferred choice, followed by surgery. Thermal ablation (TA) was the preferred option only for a 4 cm benign nodule in old patients with comorbidities. <b><i>Conclusions:</i></b> US, US-guided FNA and surgery were available to nearly all respondents, while MIT was not. CNB and EA were employed only by about 1/3 of the respondents and TA procedures were available and personally performed only by a minority. For most thyroid lesions, surgery was the preferred option versus thermal therapies. The ETA needs to develop guidelines and establish teaching to overcome geographic inequality and promote the use of MIT as a valid therapy option in appropriate cases.
DOI: 10.6084/m9.figshare.12038943.v1
title: Supplementary Material for: European Thyroid Association Survey on Use of Minimally Invasive Techniques for Thyroid Nodules

description: <b><i>Objective:</i></b> Image-guided interventional ultrasound (US) techniques represent diagnostic and therapeutic tools for non-surgical management of thyroid nodular disease. We sought to investigate the attitude of European Thyroid Association (ETA) members towards the use of minimally invasive techniques (MIT) in diagnosis/therapy of symptomatic nodular goitre. <b><i>Methods:</i></b> ETA members were invited to participate in an online survey investigating the use of MIT in benign and malignant thyroid nodular disease. Of 865 invited members, 221 (25.5%) completed the survey. The respondents were from 40 countries; 139 (74.7%) were from European countries. <b><i>Results:</i></b> Respondents personally performed thyroid US (91.6%), Fine needle aspiration (FNA; 75.3%), ethanol ablation (EA; 22.1%), core needle biopsy (CNB; 11%) and thermal treatments (4.8%). When skills and/or technology were unavailable, only 13.4% referred patients “often” or “always” to other centres with specific expertise in this field. Surgery was the preferred first option in patients with recurrent cysts, 4.0 cm benign nodules, local (radioiodine-avid or non-avid) lymph node metastases, or papillary cancers &lt;1.0 cm. For autonomously functioning nodules radioactive iodine treatment was the preferred choice, followed by surgery. Thermal ablation (TA) was the preferred option only for a 4 cm benign nodule in old patients with comorbidities. <b><i>Conclusions:</i></b> US, US-guided FNA and surgery were available to nearly all respondents, while MIT was not. CNB and EA were employed only by about 1/3 of the respondents and TA procedures were available and personally performed only by a minority. For most thyroid lesions, surgery was the preferred option versus thermal therapies. The ETA needs to develop guidelines and establish teaching to overcome geographic inequality and promote the use of MIT as a valid therapy option in appropriate cases.
DOI: 10.6084/m9.figshare.12038829
title: Figure data used in "Smart renewable electricity portfolios in West Africa"

description: This is the Source Data for the Figures 1-6 plotted in the main text of the publication "Smart renewable electricity portfolios in West Africa" by Sterl et al. (2020).
DOI: 10.6084/m9.figshare.12038748
title: Sharing data

description: This is data set for PONE-D-20-00626R2, DOI: 10.1371/journal.pone.0235503
DOI: 10.6084/m9.figshare.12038829.v1
title: Sterl_etal_2020_Figure_Data.xlsx

description: This is the Source Data for the Figures 1-6 plotted in the main text of the publication "Smart renewable electricity portfolios in West Africa" by Sterl et al. (2020).
DOI: 10.6084/m9.figshare.12038688
title: Untitled Item

description: see Thesis chapter 7
DOI: 10.6084/m9.figshare.12038688.v1
title: Untitled Item

description: see Thesis chapter 7
DOI: 10.6084/m9.figshare.12038829.v2
title: Figure data used in "Smart renewable electricity portfolios in West Africa"

description: This is the Source Data for the Figures 1-6 plotted in the main text of the publication "Smart renewable electricity portfolios in West Africa" by Sterl et al. (2020).