cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21922452
title: Supplementary Material for: Physicians’ Perceptions of Dietitians’ Services and Roles in Riyadh, Kingdom of Saudi Arabia

description: <b><i>Introduction:</i></b> Nutrition is a fundamental part of living a healthy lifestyle and is well-recognized in the prevention and treatment of several illnesses. The physicians’ collaboration according to their perception regarding the nutrition services and dietitian roles is important for optimal healthcare management. However, gaps exist in the knowledge and understanding of how the dietitian is perceived by physicians. To the researchers’ knowledge, this is the first study to assess the physicians’ perceptions regarding the role and services of dietitians in Riyadh city. <b><i>Method:</i></b> A cross-sectional study was conducted by using an anonymous self-administered online-based survey to investigate physicians’ perceptions regarding the role and services of dietitians. In addition to demographics, the questionnaire consisted of 20 statements that covered five domains of the dietitians’ scope of practice (Medical Nutrition Therapy, Legislation and Policy, Research and Interventions, Community Programs, and Sports Nutrition). A total of 407 participants were recruited between February and March 2021. Male and female medical physicians with different professional degrees who worked in Riyadh city were eligible to be included in the study. A cross-tabulation test was used to determine the difference among physicians regarding their perceptions of dietitians’ services and roles. <b><i>Results:</i></b> For all of the 20 statements that demonstrated dietitians’ services and roles, the mean score was classified as “strongly agree” with a mean of 4.33 (SD ± 0.541). There was a statistically significant relationship between physicians’ perceptions according to their nutritional background and two statements regarding dietitians’ clinical roles. In addition, there was also a statistically significant relationship between physicians’ perceptions who are not working in academia and three statements regarding dietitians’ clinical and nonclinical roles. <b><i>Conclusions:</i></b> This study’s findings support the importance of dietitians’ services in the healthcare setting as a multidisciplinary approach and recommend expanding dietitians’ employment opportunities outside the healthcare setting. Additionally, this study emphasizes incorporating nutrition education for physicians and demonstrates physicians’ understanding of nutrition as a discipline.
DOI: 10.6084/m9.figshare.21922968
title: Supplementary Material for: Using Component-Resolved Diagnosis to Characterize the Sensitization to Specific Cat and Dog Allergens in Patients with Allergic Respiratory Diseases in Catalonia, Spain

description: <b><i>Introduction:</i></b> Sensitization to cat and dog allergens is common in patients with allergic respiratory diseases. The study objective was to determine the prevalence of immunoglobulin E (IgE) sensitization to specific cat and dog allergens using component-resolved diagnosis (CRD) in patients with allergic respiratory diseases plus cat and/or dog sensitization. <b><i>Methods:</i></b> We included 87 patients aged 8–62 years, diagnosed with allergic asthma and/or rhinitis plus cat and/or dog sensitization, and attended at the allergy section of a tertiary hospital in Badalona (Catalonia, Spain). We used CRD to determine IgE sensitization to specific cat/dog allergens and skin prick tests (SPTs) to determine differences between diagnostic test results. <b><i>Results:</i></b> Patients were monosensitized to cats (20.7%) or dogs (3.4%) or sensitized to both (75.9%). The highest positive allergen rates were for Fel d 1 (91.7%) and Fel d 4 (41%) in patients sensitized to cat allergens and for Can f 5 (80%) and Can f 1 (70%) in those sensitized to dog allergens. CRD and SPT results differed somewhat: 16.1% and 27.6% of patients CRD positive for cat or dog sensitization, respectively, were SPT negative, and 6.9% SPT positive for dog sensitization were CRD negative. Few statistically significant relationships were found between any allergen components and any respiratory disease characteristic or contact with furry animals. <b><i>Conclusions:</i></b> CRD may be used to determine the prevalence of IgE sensitization to specific cat and dog allergens in patients with allergic respiratory diseases plus cat and/or dog sensitization. As SPT may not correctly identify all patients sensitized to cats and dogs, our results support the use of CRD.
DOI: 10.18140/flx/1669682
title: FLUXNET-CH4 US-Los Lost Creek

description: This is the FLUXNET-CH4 version of the carbon flux data for the site US-Los Lost Creek.
DOI: 10.18164/83e39db2-c4fb-42fc-826a-58f3a3f328b3
title: Canadian Lake Erie Nutrient Load Estimates
title: Données sur les charges nutritives du lac Érié

description: Water quality monitoring data collected in priority tributaries to provide nutrient concentration data to estimate nutrient loads to the waters of the Great Lakes. Data is collected to advance the science to understand and address the complex problem of recurrent toxic and nuisance algae in the Great Lakes. The majority of the data is focused on Lake Erie, the smallest, shallowest of the Great Lakes, and most susceptible to nearshore water quality issues. Water quality monitoring is conducted to establish current nutrient loadings from selected Canadian tributaries; to enhance the knowledge of the factors that affect tributary and nearshore water quality, ecosystem health, and algae growth; to establish binational lake ecosystem objectives, phosphorus objectives, and phosphorous load reduction targets, and to support the development of a binational nearshore assessment and management framework. This data includes the most recent Canadian nutrient loading estimates to Lake Erie. Estimates are calculated using Environment and Climate Change Canada's Erie Loading Tool - a Windows based desktop application that is based on the "Dolan approach" for estimating loads described in Maccoux et al. (2016). http://www.sciencedirect.com/science/article/pii/S0380133016301460
description: Données de surveillance de la qualité de l'eau recueillies dans les affluents prioritaires afin de fournir des données sur la concentration en éléments nutritifs afin d'estimer les charges d'éléments nutritifs dans les eaux des Grands Lacs. Des données sont recueillies pour faire avancer la science afin de comprendre et de résoudre le problème complexe des algues toxiques et nuisibles récurrentes dans les Grands Lacs. La majorité des données portent sur le lac Érié, le plus petit et le moins profond des Grands Lacs, et le plus vulnérable aux problèmes de qualité des eaux littorales. Une surveillance de la qualité de l'eau est effectuée pour établir les charges actuelles d'éléments nutritifs provenant de certains affluents canadiens. améliorer la connaissance des facteurs qui affectent la qualité des eaux tributaires et littorales, la santé des écosystèmes et la croissance des algues; établir des objectifs binationals pour les écosystèmes lacustres, des objectifs en matière de phosphore et des objectifs de réduction de la charge en phosphore, et appuyer l'élaboration d'un cadre binational d'évaluation et de gestion des zones côtières. Ces données comprennent les estimations les plus récentes des charges de nutriments canadiennes dans le lac Érié. Les estimations sont calculées à l'aide de l'outil de chargement du lac Érié d'Environnement et Changement climatique Canada - une application de bureau Windows qui est basée sur l'" approche Dolan " d'estimation des charges décrite dans Maccoux et al. (2016). http://www.sciencedirect.com/science/article/pii/S0380133016301460
DOI: 10.3886/e145141v1
title: Data and Code for: Measuring the Welfare Effects of Shame and Pride

description: This is the data packet accompanying the manuscript "Measuring the Welfare Effects of Shame and Pride", AER-2019-0433.
DOI: 10.3886/icpsr24722.v1
title: County Business Patterns, 1970-1976 [United States]: U.S. Summary, State, and County Data
title: Version 1

description: These County Business Patterns files contain data from counties across the United States in 1970-1976. Variables include state, county, total employees, and total wages. Also provided are data on the number of establishments by employment size class.
description: Datasets: DS1: County Business Patterns, 1970-1976 [United States]: U.S. Summary, State, and County Data
description: These data are distributed exactly as they arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the investigators if further information is desired.
DOI: 10.5281/zenodo.4718641
title: Data of "Micro-mechanics and data-driven based reduced order models for multi-scale analyses of woven composites"

description: <pre>Data related to the publication (we would be grateful if you could cite the paper in the case in which you are using the data) title = "Micro-mechanics and data-driven based reduced order models for multi-scale analyses of woven composites", journal = "Composite Structures", pages = " 114058", year = "2021", doi = "https://doi.org/10.1016/j.compstruct.2021.114058", author = "Wu, Ling and Adam, Laurent and Noels, Ludovic"</pre>
description: The research has been funded by the Walloon Region under the agreement no.7911-VISCOS in the context of the 21st SKYWIN call.
DOI: 10.5281/zenodo.6938137
title: Total magnetic field measurements Piton de la Fournaise 2017-2019-2020

description: Piton de la Fournaise northern profile * File number:<br> nT_yyyy_mm_dd.txt * File format (5 columns): <br> Coordinates (in m) Total magnetic field <br> X Y Z pre-filtered magnetic data (in nT) index of quality (&gt;80) <br> * Magnetic reiteration campaigns funded by:<br> ANR contract 16-CE04-0004-01 SlideVOLC<br> ANR contract 21-CE49-0015 Scan4Volc<br> Centre National d'Études Spatiales (CNES)<br> Laboratory of Excellence ClerVolc
DOI: 10.5281/zenodo.7142646
title: Validation of an Uncertainty Propagation Method for Moving-Boat ADCP Discharge Measurements

description: ADCP intercomparisons data from Génissiat (2010) and Chauvan (2016). Data used in the article <strong>Validation of an Uncertainty Propagation Method for Moving-Boat ADCP Discharge Measurements</strong>, <em>Water Resources Research</em>, Despax et al..
DOI: 10.5441/002/edbt.2016.92
title: A Two Phase Deep Learning Model for Identifying Discrimination from Tweets
DOI: 10.17632/kzk3j8xhhm.1
title: 3D flight route optimization for air-taxis in urban areas (Python + arcpy repository)

description: This is a repository for an 3D route optimization for air taxis with the multiple criteria "Shortest Flight Time", "Least Energy Consumption" and "Least Added Noise". This dataset includes the code and information of how to run the optimization. The optimization can be run for multiple eVTOL types in any urban area, if the flight characteristics of the aircrafts are known and if the spatial input data is available. In the predefined set-up, the study area is New York City, and the supported aircraft types the Lilium jet 5-seater and the Ehang 184. If you wish to keep up with ongoing changes, please visit the referenced Github repository. Requirements: Install and get license for ArcGIS Pro (https://pro.arcgis.com/en/pro-app/get-started/install-and-sign-in-to-arcgis-pro.htm) Set up your Python environment: You need Python 3.68 (Comes with ArcGIS Pro). The libriaries that come with it are additionally listed in requirements.txt. Use the environment of ArcGIS Pro to run the main.py. For example, the environment for my installation is: "C:\Program Files\ArcGIS\Pro\bin\Python\envs\arcgispro-py3\python.exe" Download the Geodatabase "OptimizationInputs" and unzip. In init.py, set arcpy.env.workspace = r'...\OptimizationInputs.gdb' to the path where you stored the downloaded Geodatabase Running the optimization: Define, which aircraft you want to use. Currently you can use the flight characteristics of the Lilium Jet 5-seater (aircraft = "Lilium") or to the Ehang 184 (aircraft = "EHANG") in main.py Define the parameters that you want to use in main.py. Keep in mind, that bigger population sizes increase the computation time. The default population sie is therefore small. Define how often you want to run the loop in the main.py at location "for seed in range(1):" Run the main and do not open ArcGIS Pro until optimization has finished. Otherwise you can lock the Geodatabase in use. Getting the results: The logged data that contain the fitness values are stored in the directory "LogFiles". The runs from you contain "new" in their names. The Point Feature Classes are stored in the Geodatabase.
DOI: 10.5281/zenodo.5106455
title: Energy consumption and PV generation data of 15 prosumers (15 minute resolution)

description: <strong>Energy consumption and PV generation data of 15 prosumers (15 minute resolution)</strong> Sérgio Ramos, João Soares, Zahra Foroozandeh, Inês Tavares, Zita Vale <strong>Paper title: (All papers)</strong> Type: Energy consumption and PV generation data Duration: Year 2019 (15 minute – 35 040 periods) Resolution: 15 minutes Application: Paper submitted on Sheets description: Total PV production: Contains the generation of the PV panels; Common services: Contains information of the energy consumption of the common services of the building; Consumer 1-15: Contains the information of the energy consumption of each consumer.
description: This work has received funding from FEDER Funds through COMPETE program and from National Funds through FCT under the project BENEFICE–PTDC/EEI-EEE/29070/2017 and UIDB/00760/2020 under CEECIND/02814/2017 grant
DOI: 10.7939/dvn/10582
title: Edmonton Area Survey, 1983

description: For the seventh annual Edmonton Area Study "The Quality of Working Life in Edmonton" was chosen as the special topic. Questions under this topic related to the respondent's job history, work characteristics, workplace and work safety. As in the past, faculty members and outside agencies submitted a variety of questions which may or may not have been related to the special topic. In addition, the questionnaire contained a number of replicated questions from previous EAS studies.
DOI: 10.25548/16-e08w
title: Translational profiles of proximal tubule during UUO

description: Injury to the proximal tubule can initiate chronic kidney disease and rates of progression are approximately 50% faster in males compared to females. The precise transcriptional changes in this nephron segment during fibrosis, and potential differences between sexes, remain undefined. We generated mice with proximal tubule-specific expression of an L10a ribosomal subunit protein fused with eGFP. We performed unilateral ureteral obstruction (UUO) surgery on male (n = 4) and female (n = 3) mice, collected proximal tubule-specific and bulk cortex mRNA at day 5 or 10 and sequenced to a depth of 30 million reads. Computational methods were applied to identify both sex-biased and shared molecular responses to fibrotic injury, including up- and down-regulated long non-coding RNAs and transcriptional regulators. Critical genes and pathways were validated by in situ hybridization.
DOI: 10.5066/p9fatni9
title: Greater sage-grouse genetic warning system, western United States (ver 1.1, January 2023)

description: Genetic variation is a well-known indicator of population fitness yet is not typically included in monitoring programs for sensitive species. Additionally, most programs monitor populations at one scale, which can lead to potential mismatches with ecological processes critical to species&amp;rsquo; conservation. Recently developed methods generating hierarchically nested population units (i.e., clusters of varying scales) for greater sage-grouse (Centrocercus urophasianus) have identified population trend declines across spatiotemporal scales to help managers target areas for conservation. The same clusters used as a proxy for spatial scale can alert managers to local units (i.e., fine-scale) with low genetic diversity relative to regional units (i.e., coarse-scale), further facilitating identification of management targets. We developed a genetic warning system utilizing previously developed hierarchical population units to identify management-relevant areas with low genetic diversity within the greater sage-grouse range. Within this warning system we characterized conservation concern thresholds based on values of genetic diversity for hierarchically nested populations. We developed a spatial data set to display genetic diversity values and conservation concern information from a Genetic Warning System (GWS) for population monitoring of greater sage-grouse, as described in Zimmerman et al. (2022). Here we added the genetic diversity estimates (allelic richness and expected heterozygosity) and GWS information as attributes to the relevant fine-scale (level 2) and coarse-scale (level 13) previously developed hierarchically nested population clusters (O&amp;rsquo;Donnell et al. 2019, O&amp;rsquo;Donnell et al. 2022). The GWS incorporates population trend decline watches and warnings from the Targeted Annual Warning System (TAWS) for greater sage-grouse as reported in Coates et al. (2021) to further refine degree of conservation concern.
DOI: 10.5066/p9qz0rcn
title: Water table depth, soil moisture, and meteorological data from Panola Mountain Research Watershed, 2017 - 2020

description: These data represent time-series of water table depth from nine monitoring wells, soil moisture from three depths at a single monitoring location, and meteorological data from a weather station at the Panola Mountain Research Watershed (PMRW) in Rockdale County Georgia. Water-level data were logged at a 5 minute interval. In total, the data span from April 2017 to April 2020 but some wells did not get instrumented with pressure transducers until May 2018 so there are some minor differences in record length. Soil moisture spans from April 2017 to October 2019 and data is presented as hourly average volumetric water content at each depth. Meteorological data spans from April 2017 to October 2019 and is presented as hourly averages, or hourly total, in the case of precipitation. The study associated with these data focused on the growing season only and specifically rain-free days. Data from April 15 to October 30 each year were highly scrutinized, and any data spikes were removed from the record. Data during the dormant season (NOV - MAR) and beyond October 2019 did not receive the same level of scrutiny because it was not the focus of the study. Dormant season water level date was still adjusted (if necessary) based on manual water level tape down measurements but no further adjustments or QAQC was performed. Further, these data were plotted, and no gross errors were noticed. We are providing the full time-series as these data will likely be more useful to others than just the rain-free periods we focused on. Users of the data are highly encouraged to thoroughly explore the data, especially during the dormant season, before use. This data release contains three tabular data files each with an associated metadata file. The data files are: 1.) Water level and water temperature data from nine monitoring wells; 2.) Meteorological data and soil moisture, and; 3.) latitude and longitude of the data collection sites included in this data release.
DOI: 10.6075/j00p0xk4
title: Data from: Cyclic(Alkyl)(Amino)Carbene Ligands Enable Cu-Catalyzed Markovnikov Protoboration and Protosilylation of Terminal Alkynes: A Versatile Portal to Functionalized Alkenes

description: Abstract: Regioselective hydrofunctionalization of alkynes represents a straightforward route to access alkenyl boronate and silane building blocks. In previously reported catalytic systems, high selectivity is achieved with a limited scope of substrates and/or reagents, with general solutions lacking. Herein, we describe a selective copper-catalyzed Markovnikov hydrofunctionalization of terminal alkynes that is facilitated by strongly donating cyclic(alkyl)(amino)carbene (CAAC) ligands. Using this method, both alkyl and aryl-substituted alkynes are coupled with a variety of boryl and silyl reagents with high α-selectivity. The reaction is scalable, and the products are versatile intermediates that can participate in various downstream transformations. Preliminary mechanistic experiments shed light on the role of CAAC ligands in this process.
DOI: 10.6084/m9.figshare.11961063.v40
title: Dimensions COVID-19 publications, datasets and clinical trials

description: This file contains all relevant publications, datasets and clinical trials from Dimensions that are related to COVID-19. The content has been exported from Dimensions using a query in the openly accessible Dimensions application, which you can access at https://covid-19.dimensions.ai/. Dimensions is updated once every 24 hours, so the latest research can be viewed alongside existing information. With its range of research outputs including datasets and clinical trials, both of which are just as important as journal articles in the face of a potential pandemic, Dimensions is a one-stop shop for all COVID-19 related information. <br>Please share this information with anyone you think would benefit from it. If you have any suggestions as to how we can improve our search terms to maximise the volume of research related to COVID-19, please contact us at support@dimensions.ai.
DOI: 10.24381/cds.66d88ff8
title: Soil erosion indicators for Italy from 1981 to 2080