cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7684848
title: i-Dreams H2020 EU Project: Sample dataset

description: The overall objective of the <em>i</em>-DREAMS project is to setup a framework for the definition, development, testing and validation of a context-aware safety envelope for driving (‘Safety Tolerance Zone’), within a smart Driver, Vehicle & Environment Assessment and Monitoring System (<em>i</em>-DREAMS). Taking into account driver background factors and real-time risk indicators associated with the driving performance as well as the driver state and driving task complexity indicators, a continuous real-time assessment is made to monitor and determine if a driver is within acceptable boundaries of safe operation. Moreover, safety-oriented interventions were developed to inform or warn the driver real-time in an effective way as well as on an aggregated level after driving through an app- and web-based gamified coaching platform. The conceptual framework, which was tested in a simulator study and three stages of on-road trials in Belgium, Germany, Greece, Portugal and the United Kingdom on a total of 600 participants representing car, bus, and truck drivers, respectively. Specifically, the Safety Tolerance Zone (STZ) is subdivided into three phases, i.e. ‘Normal driving phase’, the ‘Danger phase’, and the ‘Avoidable accident phase’. For the real-time determination of this STZ, the monitoring module in the<em> i</em>-DREAMS platform continuously register and process data for all the variables related to the context and to the vehicle. Regarding the operator, however, continuous data registration and processing are limited to mental state and behavior. Finally, it is worth mentioning that data related to operator competence, personality, socio-demographic background, and health status, are collected via survey questionnaires. More information of the project can be seen from project website: https://idreamsproject.eu/wp/ This dataset contains naturalistic driving data of various trips of participants recruited in i-Dreams project. Various different types of events are recorded for different intensity levels such as headway, speed, acceleration, braking, cornering, fatigue and illegal overtaking. Running headway, speed, distance, wipers use, handheld phone use, high beam use and other data is also recorded. Driver characteristics are also available but not part of this sample data. In the i-Dreams project, raw data for a particular trip was collected via CardioID gateway, Mobileye, wristband or CardioWheel. These trip data are fused using a feature-based data fusion technique, namely geolocation through synchronization and support vector machines. The system provided by CardioID integrates several data streams, generated by the different sensors that make up the inputs of the i-Dreams system. The sample dataset is fused, processed as well as aggregated to produce consistent time series data of trips for a particular time interval such as 30 secs/ 60 secs or 2- minutes intervals. More datasets can be acquired for analysis purposes by following the data acquisition process given in the data description file.
DOI: 10.5281/zenodo.7684847
title: i-Dreams H2020 EU Project: Sample dataset

description: The overall objective of the <em>i</em>-DREAMS project is to setup a framework for the definition, development, testing and validation of a context-aware safety envelope for driving (‘Safety Tolerance Zone’), within a smart Driver, Vehicle & Environment Assessment and Monitoring System (<em>i</em>-DREAMS). Taking into account driver background factors and real-time risk indicators associated with the driving performance as well as the driver state and driving task complexity indicators, a continuous real-time assessment is made to monitor and determine if a driver is within acceptable boundaries of safe operation. Moreover, safety-oriented interventions were developed to inform or warn the driver real-time in an effective way as well as on an aggregated level after driving through an app- and web-based gamified coaching platform. The conceptual framework, which was tested in a simulator study and three stages of on-road trials in Belgium, Germany, Greece, Portugal and the United Kingdom on a total of 600 participants representing car, bus, and truck drivers, respectively. Specifically, the Safety Tolerance Zone (STZ) is subdivided into three phases, i.e. ‘Normal driving phase’, the ‘Danger phase’, and the ‘Avoidable accident phase’. For the real-time determination of this STZ, the monitoring module in the<em> i</em>-DREAMS platform continuously register and process data for all the variables related to the context and to the vehicle. Regarding the operator, however, continuous data registration and processing are limited to mental state and behavior. Finally, it is worth mentioning that data related to operator competence, personality, socio-demographic background, and health status, are collected via survey questionnaires. More information of the project can be seen from project website: https://idreamsproject.eu/wp/ This dataset contains naturalistic driving data of various trips of participants recruited in i-Dreams project. Various different types of events are recorded for different intensity levels such as headway, speed, acceleration, braking, cornering, fatigue and illegal overtaking. Running headway, speed, distance, wipers use, handheld phone use, high beam use and other data is also recorded. Driver characteristics are also available but not part of this sample data. In the i-Dreams project, raw data for a particular trip was collected via CardioID gateway, Mobileye, wristband or CardioWheel. These trip data are fused using a feature-based data fusion technique, namely geolocation through synchronization and support vector machines. The system provided by CardioID integrates several data streams, generated by the different sensors that make up the inputs of the i-Dreams system. The sample dataset is fused, processed as well as aggregated to produce consistent time series data of trips for a particular time interval such as 30 secs/ 60 secs or 2- minutes intervals. More datasets can be acquired for analysis purposes by following the data acquisition process given in the data description file.
DOI: 10.6084/m9.figshare.22189567
title: PRISMA_2020_checklist Masculinity.docx

description: This data is a PRISMA checklist for meta synthesis of masculinity in male infertility
DOI: 10.6084/m9.figshare.22189567.v1
title: PRISMA_2020_checklist Masculinity.docx

description: This data is a PRISMA checklist for meta synthesis of masculinity in male infertility
DOI: 10.15151/esrf-es-1028462117
title: X-Ray Fluorescence under Grazing Incidence

description: Total external reflection fluorescence and grazing incidence x-ray fluorescence are techniques that rely on standing waves created by the reflector to excite the fluorescent emission from small amounts of analytes. Formally, the sample under investigation only perturbs the wavefields slightly resulting in no matrix (absorption) effects and well-defined wavefields. The transition to more bulk-like systems in which this approximation is violated is poorly understood. In this proposal we aim to explore the interface between TXRF and XRF performed under grazing incidence. Our study will explore the experimental conditions and ranges of validity. The data will be an essential part of a recently launched VAMAS study to explore the feasibility of using XRF under grazing incidence to quantify airborne particulate matter as well as a new work proposal (on 23971.2.2) for an ISO standard “Analysis of air PM filters by XRF under grazing incidence” launched within the ISO TC201 committee.
DOI: 10.5281/zenodo.7665634
title: One scaffold, two conformations: The ring-flip of the messenger InsP8 occurs under cytosolic conditions

description: Inositol poly- and pyrophosphates (InsPs and PP-InsPs) are central eukaryotic messengers. These very highly phosphorylated molecules can exist in two distinct conformations, a canonical one with five phosphoryl groups in equatorial positions, and a “flipped” axial conformation. Using <sup>13</sup>C-labeled InsPs / PP-InsPs, the behavior of these molecules was investigated by 2D-NMR under solution conditions reminiscent of a cytosolic environment. Remarkably, the most highly phosphorylated messenger InsP<sub>8</sub> readily adopts both conformations at physiological conditions. Environmental factors - such as pH, metal cation composition, and temperature - strongly influence the conformational equilibrium. Thermodynamic data revealed that the transition of InsP<sub>8</sub> from the equatorial to the axial conformation is, in fact, an exothermic process. The speciation of InsPs and PP-InsPs also affects their interaction with protein binding partners; addition of Mg<sup>2+</sup> decreased the binding constant K<sub>d</sub> of InsP<sub>8</sub> to an SPX protein domain. The results illustrate that PP-InsP speciation reacts very sensitively to solution conditions, suggesting it might act as an environment-dependent molecular switch.
DOI: 10.5281/zenodo.7665633
title: One scaffold, two conformations: The ring-flip of the messenger InsP8 occurs under cytosolic conditions

description: Inositol poly- and pyrophosphates (InsPs and PP-InsPs) are central eukaryotic messengers. These very highly phosphorylated molecules can exist in two distinct conformations, a canonical one with five phosphoryl groups in equatorial positions, and a “flipped” axial conformation. Using <sup>13</sup>C-labeled InsPs / PP-InsPs, the behavior of these molecules was investigated by 2D-NMR under solution conditions reminiscent of a cytosolic environment. Remarkably, the most highly phosphorylated messenger InsP<sub>8</sub> readily adopts both conformations at physiological conditions. Environmental factors - such as pH, metal cation composition, and temperature - strongly influence the conformational equilibrium. Thermodynamic data revealed that the transition of InsP<sub>8</sub> from the equatorial to the axial conformation is, in fact, an exothermic process. The speciation of InsPs and PP-InsPs also affects their interaction with protein binding partners; addition of Mg<sup>2+</sup> decreased the binding constant K<sub>d</sub> of InsP<sub>8</sub> to an SPX protein domain. The results illustrate that PP-InsP speciation reacts very sensitively to solution conditions, suggesting it might act as an environment-dependent molecular switch.
DOI: 10.17028/rd.lboro.22189564
title: Supplementary information files for Dissecting transmembrane bicarbonate transport by 1,8-di(thio)amidocarbazoles

description: Supplementary files for article Dissecting transmembrane bicarbonate transport by 1,8-di(thio)amidocarbazoles <br> Synthetic ionophores able to transport bicarbonate and chloride anions across lipid bilayers are appealing for their wide range of potential biological applications. We have studied the bicarbonate and chloride transport by carbazoles with two amido/thioamido groups using a bicarbonate-sensitive europium(III) probe in liposomes and found a highly remarkable transporter concentration dependence. This can be explained by a combination of two distinct transport mechanisms: HCO3−/Cl− exchange and a combination of unassisted CO2 diffusion and HCl transport, of which the respective contributions were quantified. The compounds studied were found to be highly potent HCl transporters. Based on the mechanistic insights on anion transport, we have tested the antimicrobial activity of these compounds and found a good correlation with their ion transport properties and a high activity against Gram-positive bacteria.
DOI: 10.17028/rd.lboro.22189564.v1
title: Supplementary information files for Dissecting transmembrane bicarbonate transport by 1,8-di(thio)amidocarbazoles

description: Supplementary files for article Dissecting transmembrane bicarbonate transport by 1,8-di(thio)amidocarbazoles <br> Synthetic ionophores able to transport bicarbonate and chloride anions across lipid bilayers are appealing for their wide range of potential biological applications. We have studied the bicarbonate and chloride transport by carbazoles with two amido/thioamido groups using a bicarbonate-sensitive europium(III) probe in liposomes and found a highly remarkable transporter concentration dependence. This can be explained by a combination of two distinct transport mechanisms: HCO3−/Cl− exchange and a combination of unassisted CO2 diffusion and HCl transport, of which the respective contributions were quantified. The compounds studied were found to be highly potent HCl transporters. Based on the mechanistic insights on anion transport, we have tested the antimicrobial activity of these compounds and found a good correlation with their ion transport properties and a high activity against Gram-positive bacteria.
DOI: 10.5519/qd.udosbwj1
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (0 records)
DOI: 10.5519/qd.n68u8lqg
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5519/qd.4630c0ga
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5519/qd.n0x7i5j2
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.34740/kaggle/dsv/5082456
title: 🇵🇭 Philippine Spam SMS
DOI: 10.6084/m9.figshare.19729711
title: Source identification and ambient trace element concentrations of PM<sub>10</sub> using receptor modeling in an urban area of Chhattisgarh, India

description: This study investigated seasonal variation in PM<sub>10</sub> aerosols and associated trace metal concentrations in an urban city Raipur, India. PM<sub>10</sub> aerosols were monitored at Raipur for the year 2015 to 2019. Eighteen trace elements (Al, Ba, Ca, Cr, As, Mn, Sb, Se, Sr, Cu, Fe, Ga, Mg, Ni, Ti, V, Pb, Zn) and (EC and OC) were analyzed using atomic absorption spectroscopy and thermal optical transmittance technique. A receptor-based positive matrix factorization (PMF) model was used to identify the possible sources with qualitative analysis of crustal enrichment factor, back-trajectory analysis using concentration weighted trajectory (CWT) to predict potential locations of distant sources, and correlation between different species. The average PM<sub>10</sub> aerosol mass concentration during the study period was found to be 184.91 ± 114 µg/m³. Seasonally, the average winter–time PM<sub>10</sub> concentration (193.49 ± 129.18 µg/m³) was found higher as compared to summer time (176.32 ± 65.80 µg/m³) during the study period. Five sources were identified including the iron and steel industry (30%), biomass and waste combustion (28.7%), vehicular emissions (21%), heavy oil combustion (17.4%), and crustal dust (2.9%). The study provides information on major sources affecting air quality.
DOI: 10.6084/m9.figshare.19729711.v1
title: Source identification and ambient trace element concentrations of PM<sub>10</sub> using receptor modeling in an urban area of Chhattisgarh, India

description: This study investigated seasonal variation in PM<sub>10</sub> aerosols and associated trace metal concentrations in an urban city Raipur, India. PM<sub>10</sub> aerosols were monitored at Raipur for the year 2015 to 2019. Eighteen trace elements (Al, Ba, Ca, Cr, As, Mn, Sb, Se, Sr, Cu, Fe, Ga, Mg, Ni, Ti, V, Pb, Zn) and (EC and OC) were analyzed using atomic absorption spectroscopy and thermal optical transmittance technique. A receptor-based positive matrix factorization (PMF) model was used to identify the possible sources with qualitative analysis of crustal enrichment factor, back-trajectory analysis using concentration weighted trajectory (CWT) to predict potential locations of distant sources, and correlation between different species. The average PM<sub>10</sub> aerosol mass concentration during the study period was found to be 184.91 ± 114 µg/m³. Seasonally, the average winter–time PM<sub>10</sub> concentration (193.49 ± 129.18 µg/m³) was found higher as compared to summer time (176.32 ± 65.80 µg/m³) during the study period. Five sources were identified including the iron and steel industry (30%), biomass and waste combustion (28.7%), vehicular emissions (21%), heavy oil combustion (17.4%), and crustal dust (2.9%). The study provides information on major sources affecting air quality.
DOI: 10.6084/m9.figshare.20085645
title: Analytical mapping on trends of information technology in hydrometeorological disasters research

description: Hydrological and meteorological disasters have a massive global influence. These disasters result in colossal property loss, deaths, and societal disruption. Information and communication technologies can help to improve the disaster management process. This study presents an analytical mapping of hydrometeorological disasters and various ITs in hazard management. It assesses the global research state of IT-based hydrometeorological disaster management in terms of citations analysis, prolific journals, organizations, and countries’ contributions. Keyword co-occurrence analysis has been performed through visualization graphs to highlight research areas. VOSViewer and Bibliometrix R-package has been used for in-depth analysis and visualization requirements to identify the ICT patterns, core regions, academics, and research topics. The study highlights the emerging research areas in disaster management such as forecasting, disaster risk assessment, prediction, energy efficiency, alert generation, warning system and artificial intelligence, IoT, and cloud computing technologies have greater scope manage the disasters. This research illustrates the significance of information technology in hydrometeorological disasters and provides recommendations for future IT-assisted disaster management efforts.
DOI: 10.6084/m9.figshare.20085645.v1
title: Analytical mapping on trends of information technology in hydrometeorological disasters research

description: Hydrological and meteorological disasters have a massive global influence. These disasters result in colossal property loss, deaths, and societal disruption. Information and communication technologies can help to improve the disaster management process. This study presents an analytical mapping of hydrometeorological disasters and various ITs in hazard management. It assesses the global research state of IT-based hydrometeorological disaster management in terms of citations analysis, prolific journals, organizations, and countries’ contributions. Keyword co-occurrence analysis has been performed through visualization graphs to highlight research areas. VOSViewer and Bibliometrix R-package has been used for in-depth analysis and visualization requirements to identify the ICT patterns, core regions, academics, and research topics. The study highlights the emerging research areas in disaster management such as forecasting, disaster risk assessment, prediction, energy efficiency, alert generation, warning system and artificial intelligence, IoT, and cloud computing technologies have greater scope manage the disasters. This research illustrates the significance of information technology in hydrometeorological disasters and provides recommendations for future IT-assisted disaster management efforts.
DOI: 10.6084/m9.figshare.19358714
title: Manifestation of topography and climate variations on long-term glacier changes in the Alaknanda Basin of Central Himalaya, India

description: Here, we present a detailed analysis of glaciers in the Alaknanda Basin, Central Himalaya, starting with a novel glacier inventory for 1968 and 2020 using high-resolution datasets of Corona and Sentinel-2A. Primarily, we examine the factors influencing changes in glacier characteristics. Results show that glacier area reduced to 683 ± 47.81 km<sup>2</sup> from 742 ± 44.4 km<sup>2</sup>, and the number of glaciers increased to 116 from 98 between 1968 and 2020. The annual average recession of glaciers in the basin is 11.75 ± 1.6 m/year for the corresponding period. Also noted is a significant increase (∼38%) in supraglacial debris cover extent of the glaciers during 2000–2020. Interestingly, smaller glaciers (&lt; 5 km<sup>2</sup>) with lower altitude snout and higher slope have registered more significant area loss and higher retreat rate. Alongside topographic parameters, the significant deglaciation and fragmentation observed in the basin are augmented by the increase in winter-time temperature (0.03 °C/year) between 1968 and 2020.
DOI: 10.6084/m9.figshare.19358714.v1
title: Manifestation of topography and climate variations on long-term glacier changes in the Alaknanda Basin of Central Himalaya, India

description: Here, we present a detailed analysis of glaciers in the Alaknanda Basin, Central Himalaya, starting with a novel glacier inventory for 1968 and 2020 using high-resolution datasets of Corona and Sentinel-2A. Primarily, we examine the factors influencing changes in glacier characteristics. Results show that glacier area reduced to 683 ± 47.81 km<sup>2</sup> from 742 ± 44.4 km<sup>2</sup>, and the number of glaciers increased to 116 from 98 between 1968 and 2020. The annual average recession of glaciers in the basin is 11.75 ± 1.6 m/year for the corresponding period. Also noted is a significant increase (∼38%) in supraglacial debris cover extent of the glaciers during 2000–2020. Interestingly, smaller glaciers (&lt; 5 km<sup>2</sup>) with lower altitude snout and higher slope have registered more significant area loss and higher retreat rate. Alongside topographic parameters, the significant deglaciation and fragmentation observed in the basin are augmented by the increase in winter-time temperature (0.03 °C/year) between 1968 and 2020.
DOI: 10.5281/zenodo.7680135
title: The Impact of Gulf Stream Frontal Eddies on Ecology and Biogeochemistry near Cape Hatteras

description: This data goes along with the manuscript "The Impact of Gulf Stream Frontal Eddies on Ecology and Biogeochemistry near Cape Hatteras" available as a preprint at https://doi.org/10.1101/2023.02.22.529409 and under review in the Journal of Geophysical Research: Oceans. The code to analyze this data and generate the figures from the paper is available at: https://github.com/patrickcgray/gs_front_analysis (https://doi.org/10.5281/zenodo.7685135).
description: Funding support was provided by National Aeronautics and Space Administration (NASA) Future Investigators in NASA Earth and Space Science and Technology (FINESST) #80NSSC19K1366 (Ocean Biology and Biogeochemistry program), the Zuckerman STEM Leadership Program, the American Society for Photogrammetry and Remote Sensing's Robert N. Colwell Memorial Fellowship to PCG. R/V Shearwater ship time was supported by Nicholas School of the Environment and Duke University Marine Lab donors through a student research grant to PCG. We appreciate Emmanuel Boss for sharing instruments for the optical flow-through data. Finally the authors thank the crew of the R/V Shearwater, Matt Dawson, Tina Thomas, Zach Swaim, and John Wilson for making much of this data feasible and enjoyable to collect.
description: {"references": ["Gray, Patrick et al (2023) The Impact of Gulf Stream Frontal Eddies on Ecology and Biogeochemistry near Cape Hatteras 10.1101/2023.02.22.529409", "Gray, Patrick (2023) Software for \"The Impact of Gulf Stream Frontal Eddies on Ecology and Biogeochemistry near Cape Hatteras\" 10.5281/zenodo.7685135"]}