cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21534670
title: Depression, stress, anxiety and burnout among undergraduate and postgraduate medical trainees in Saudi Arabia over two decades: A systematic review

description: Evidence suggests physicians have higher rates of mental distress than other professionals. Although multiple studies have been conducted among Saudi medical trainees to address this issue, no reviews assessed multiple psychological problems simultaneously. We aimed to examine the prevalence and trends of depression, anxiety, burnout and stress among Saudi medical trainees. A systematic review was conducted searching PubMed/Medline, OVID, Scopus, PsychInfo, EBSCOhost and the Directory of Open Access Journals (DOAJ) for studies addressing depression, burnout, stress and anxiety among Saudi medical trainees, in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA). Joanna Briggs Critical Appraisal Checklist was used to evaluate quality. The main findings were summarised in tables. We identified 57 records from 2001 to 2020. Overall (mild, moderate or severe) depression ranged from 28% to 70.6%, while stress ranged from 30.5% to 90.7%. Burnout was primarily assessed among residents with an overall prevalence reaching 85.5%. Overall anxiety ranged from 52.7% to 67%, and was only assessed among undergraduates. Higher levels of all four mental conditions were reported among females. This review suggests high prevalence of depression, stress, burnout and anxiety among medical trainees, with higher estimates for females compared to males.
DOI: 10.6084/m9.figshare.21534670.v1
title: Depression, stress, anxiety and burnout among undergraduate and postgraduate medical trainees in Saudi Arabia over two decades: A systematic review

description: Evidence suggests physicians have higher rates of mental distress than other professionals. Although multiple studies have been conducted among Saudi medical trainees to address this issue, no reviews assessed multiple psychological problems simultaneously. We aimed to examine the prevalence and trends of depression, anxiety, burnout and stress among Saudi medical trainees. A systematic review was conducted searching PubMed/Medline, OVID, Scopus, PsychInfo, EBSCOhost and the Directory of Open Access Journals (DOAJ) for studies addressing depression, burnout, stress and anxiety among Saudi medical trainees, in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA). Joanna Briggs Critical Appraisal Checklist was used to evaluate quality. The main findings were summarised in tables. We identified 57 records from 2001 to 2020. Overall (mild, moderate or severe) depression ranged from 28% to 70.6%, while stress ranged from 30.5% to 90.7%. Burnout was primarily assessed among residents with an overall prevalence reaching 85.5%. Overall anxiety ranged from 52.7% to 67%, and was only assessed among undergraduates. Higher levels of all four mental conditions were reported among females. This review suggests high prevalence of depression, stress, burnout and anxiety among medical trainees, with higher estimates for females compared to males.
DOI: 10.34943/30087e08-44fb-49ac-a18a-65be84a1fc01
title: Conception Bay Datalogger Deployed 2022-08-21

description: The AML-1 RT 62039 was deployed on 2022-08-21 at Conception Bay. Conception Bay is located west of the city St. John's, Newfoundland. This device is a Datalogger. Data loggers, or recorder devices, are electronic devices that record data over time, or in relation to location, either with a built-in instrument or sensor or via external instruments and sensors, and are programmed with appropriate recording parameters. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.6084/m9.figshare.22858898
title: Untitled Item

description: The Product Line Architecture (PLA) is one of the most important artifacts of a Software Product Line (SPL). PLA design can be formulated as an interactive optimization problem with many conflicting factors. Incorporating Decision Makers' (DM) preferences during the search process may help the algorithms to find more adequate solutions for their profiles. Interactive approaches allow the DM to evaluate solutions, guiding the optimization according to their preferences. However, this brings up human fatigue problems caused by the excessive amount of interactions and solutions to evaluate. A common strategy to prevent this problem is limiting the number of interactions and solutions evaluated by the DM. Machine Learning (ML) models were also used to learn how to evaluate solutions according to the DM profile and replace them after some interactions. Feature selection performs an essential task as non-relevant and/or redundant features used to train the ML model can reduce the accuracy and comprehensibility of the hypotheses induced by ML algorithms. This work aims to select features of a ML model used to prevent human fatigue in an interactive search-based PLA design approach. We applied four selectors and through results we were able to reduce 30% of features, obtaining an accuracy of 99%.
DOI: 10.6084/m9.figshare.22858898.v1
title: Untitled Item

description: The Product Line Architecture (PLA) is one of the most important artifacts of a Software Product Line (SPL). PLA design can be formulated as an interactive optimization problem with many conflicting factors. Incorporating Decision Makers' (DM) preferences during the search process may help the algorithms to find more adequate solutions for their profiles. Interactive approaches allow the DM to evaluate solutions, guiding the optimization according to their preferences. However, this brings up human fatigue problems caused by the excessive amount of interactions and solutions to evaluate. A common strategy to prevent this problem is limiting the number of interactions and solutions evaluated by the DM. Machine Learning (ML) models were also used to learn how to evaluate solutions according to the DM profile and replace them after some interactions. Feature selection performs an essential task as non-relevant and/or redundant features used to train the ML model can reduce the accuracy and comprehensibility of the hypotheses induced by ML algorithms. This work aims to select features of a ML model used to prevent human fatigue in an interactive search-based PLA design approach. We applied four selectors and through results we were able to reduce 30% of features, obtaining an accuracy of 99%.
DOI: 10.17909/d922-3v11
title: Data for Abell 56 paper

description: ACS observation used to create weak lensing map of Abell 56
DOI: 10.5281/zenodo.7884481
title: Acetylene Semi-Hydrogenation on Intermetallic NiIn Catalysts: Ni Ensemble and Acetylene Coverage Effects from a Theoretical Analysis

description: The dataset contains: Structures of C2H2 hydrogenation and oligomerization reaction intermediates and products of low coverage model of Ni (111), Ni3In (111), NiIn (001), and Ni2In3 (110): C2H2, C2H3, C2H4, C2H5, C2H6, C4H5, C4H6, H. Structures of high coverage model of Ni (111), Ni3In (111), NiIn (001), and Ni2In3 (110). Including C2H2 and hydrogen co-adsorption structures of NiIn. Microkintic model input values of reaction constants for low coverage simulations of hydrogenation and oligomerization reactions. Microkintic model input values of reaction constants for high coverage simulations of hydrogenation and oligomerization reactions.
DOI: 10.5281/zenodo.7884480
title: Acetylene Semi-Hydrogenation on Intermetallic NiIn Catalysts: Ni Ensemble and Acetylene Coverage Effects from a Theoretical Analysis

description: The dataset contains: Structures of C2H2 hydrogenation and oligomerization reaction intermediates and products of low coverage model of Ni (111), Ni3In (111), NiIn (001), and Ni2In3 (110): C2H2, C2H3, C2H4, C2H5, C2H6, C4H5, C4H6, H. Structures of high coverage model of Ni (111), Ni3In (111), NiIn (001), and Ni2In3 (110). Including C2H2 and hydrogen co-adsorption structures of NiIn. Microkintic model input values of reaction constants for low coverage simulations of hydrogenation and oligomerization reactions. Microkintic model input values of reaction constants for high coverage simulations of hydrogenation and oligomerization reactions.
DOI: 10.5281/zenodo.7942014
title: Dataset for surface waves height prediction through the video and image processing

description: Image-based study of surface waves is a long lasting topic in ocean science and remote sensing. We believe that modern computers and new programming techniques can make a break-through in this area. This dataset provides some video files of surface wind waves of two kinds. First is a video snapshot of a quite large area. Second one is a zoom-in video of a spar-buoy (a stick) located in this field. According to the zoom-in video we may see the actual height of the wave in this particular point. This should be treated as a reliable data and so it can be used to calibrate the brightness field. I.e. the users of this dataset are welcome to train their model to obtain the height of the wave out of its brightness on the zoom-out large-area videos. All video files are readable by a conventional software. Records were taken at mild wind conditions in a gulf (fjord or skerry) of the Ladoga Lake. See "readme.pdf" for the details
description: {"references": ["M. Salin. Wind-wave optic lab // Github, webpage: https://github.com/mikesalin/wwol accessed: 04-05-2023", "B. M. Salin, M. B. Salin. Combined Method for Measuring 3D Wave Spectra. II. Examples of Using the Basic Measurement Procedures and Analysis of the Obtained Results // Radiophysics and Quantum Electronics, 2015. V. 58, No. 3. P. 185-196 https://doi.org/10.1007/s11141-015-9592-3", "M.B. Salin, A.V. Vitalsky. Usage of single-camera video recording to measure sea surface roughness with machine learning methods // arXiv 2303.09967, 2023 https://doi.org/10.48550/arXiv.2303.09967", "M. B. Salin, O. A. Potapov, B. M. Salin, A. S. Chashchin. Measuring the characteristics of backscattering of sound on a rough surface in the near-field zone of a phased array // Acoustical Physics, 2016. Vol. 62, No. 1, P. 74-88. https://doi.org/10.1134/S106377101506010X"]}
DOI: 10.5281/zenodo.7942013
title: Dataset for surface waves height prediction through the video and image processing

description: Image-based study of surface waves is a long lasting topic in ocean science and remote sensing. We believe that modern computers and new programming techniques can make a break-through in this area. This dataset provides some video files of surface wind waves of two kinds. First is a video snapshot of a quite large area. Second one is a zoom-in video of a spar-buoy (a stick) located in this field. According to the zoom-in video we may see the actual height of the wave in this particular point. This should be treated as a reliable data and so it can be used to calibrate the brightness field. I.e. the users of this dataset are welcome to train their model to obtain the height of the wave out of its brightness on the zoom-out large-area videos. All video files are readable by a conventional software. Records were taken at mild wind conditions in a gulf (fjord or skerry) of the Ladoga Lake. See "readme.pdf" for the details
description: {"references": ["M. Salin. Wind-wave optic lab // Github, webpage: https://github.com/mikesalin/wwol accessed: 04-05-2023", "B. M. Salin, M. B. Salin. Combined Method for Measuring 3D Wave Spectra. II. Examples of Using the Basic Measurement Procedures and Analysis of the Obtained Results // Radiophysics and Quantum Electronics, 2015. V. 58, No. 3. P. 185-196 https://doi.org/10.1007/s11141-015-9592-3", "M.B. Salin, A.V. Vitalsky. Usage of single-camera video recording to measure sea surface roughness with machine learning methods // arXiv 2303.09967, 2023 https://doi.org/10.48550/arXiv.2303.09967", "M. B. Salin, O. A. Potapov, B. M. Salin, A. S. Chashchin. Measuring the characteristics of backscattering of sound on a rough surface in the near-field zone of a phased array // Acoustical Physics, 2016. Vol. 62, No. 1, P. 74-88. https://doi.org/10.1134/S106377101506010X"]}
DOI: 10.7281/t1/nl3htw/rx1xxt
title: all_bins2.zip

description: This is a zip file of a folder containing 666 fasta file of the sequences assigned to 666 metagenome reconstructed genomes (MAGs), not filtered by completion or contamination. Files within this folder follow the naming convention CB33.bin.[0-9]{1-3}.fa.gz and CBrest.bin.[0-9]{1-3}.fa.gz. These files are gzip files of fasta files which contain all of the contigs assigned to that MAG.
DOI: 10.7281/t1/nl3htw/syi3wv
title: merged_paired_water_quality_data.txt

description: Tab delimited text file of the sample metadata associated with the water sampled at the time of collection. This includes both information about the sites themselves (e.g. station, TotalDepth), discharge and preciptation on the day of collection, library processing information (e.g. qPCR ct, sequencing_ID) and chemical information associated with the water that was collected.
DOI: 10.7281/t1/nl3htw/5bh2zb
title: bin_quality_stats.txt

description: This is a tab delimited text file containing the completeness, contamination, N50 a nd classification of 666 MAGs found in all_bin.zip.
DOI: 10.7281/t1/nl3htw/bx10gc
title: README.txt

description: File describing the contents of files in this archive and a description of the methods used to create them.
DOI: 10.7281/t1/nl3htw/ewukus
title: otu_silva_taxonomic_annotations.txt

description: Taxonomic classification of all ASVs in the dataset using the SILVA database, divided by various levels of classification (e.g. phylum, order, family etc).
DOI: 10.7281/t1/nl3htw/mocnsx
title: Particle_Tracking_Data_2017.tab

description: Latitude, longitude, and depth of 300 particles tracked back 9 days before sample collection. Two spreadsheets are provided. “Sampling Stations” provide starting locations (lat/lon), date and time of sample collection, Station name and collection agency. “300 Particle End Locations” provides the latitude, longitude, and depth of 300 particles with end points at the sampled site, 9 days prior to collection.
DOI: 10.7281/t1/nl3htw/mxei6e
title: final_rarefied_table.best.txt

description: Tab delimited text file of the amplicon sequence variant (ASV) table across 237 samples that passed our quality control. ASVs are arrayed in columns, libraries representing water samples passing our quality control are arrayed in rows. Counts for each ASV within each library as matrix values are rarefied to 3017 counts per sample.
DOI: 10.7281/t1/nl3htw/tyjpn1
title: OTU_sequence_reps.fasta

description: Fasta text file of all of the ASV sequences in the rarefied ASV table. Headers represent ASV names that match column header names in final_rarefied_table.best.txt.
DOI: 10.7281/t1/nl3htw/bubijt
title: Functional_Gene_Expression_and_annotations_all.txt

description: Information and expression of a set of carbon, sulfur, nitrogen and energy metabolism genes found in MAGs. Information about each locus, including contig start and end, which MAG it is found in, classification, along with expression (reads per million) in the 18 samples from 2010 and 2011 Hewston et al. paper.
DOI: 10.5281/zenodo.7854916
title: Supplemental data for "Uncertainty in Land Use Obscures Global Soil Organic Carbon Stock Estimates"

description: These are supporting data for the manuscript: "Uncertainty in Land Use Obscures Global Soil Organic Carbon Stock Estimates." They include data for the figures showing the spatial dynamics of cropland and LULCC-induced SOC loss etc, including Fig.3, Fig.6, Fig.9, and Fig.10.
DOI: 10.5281/zenodo.7854915
title: Supplemental data for "Uncertainty in Land Use Obscures Global Soil Organic Carbon Stock Estimates"

description: These are supporting data for the manuscript: "Uncertainty in Land Use Obscures Global Soil Organic Carbon Stock Estimates." They include data for the figures showing the spatial dynamics of cropland and LULCC-induced SOC loss etc, including Fig.3, Fig.6, Fig.9, and Fig.10.
DOI: 10.6084/m9.figshare.22858028
title: Data - rats - JAMOVI.omv

description: ELO = LBE linear bone extension ANO = NBA newly formed bone area APR= RPA residual particle area The study has been conducted on 40 critical defects in the calvaria of male rats, divided into four experimental groups (<em>n</em> = 10): (1) DBBM (deproteinized bovine bone mineral - Bio - Oss - BO); (2) GBR (DBBM+collagen membrane - BioGide - BO+M); (3) DBBM+P (DBBM+photobiomodulation - BO+L6); (4) GBR+P (GBR+photobiomodulation - BO+M+L6). Photobiomodulation: gallium-aluminum-arsenide laser (GaAlAs) (TheraLase DMC®, São Carlos, São Paulo, Brazil), in continuous emission mode, with a beam area of 0.028 cm2, a 730 nm wave length, 100 mW power, 210 J/cm2 energy density, 6 J per point, and an irradiation time of 60 s [15], at four points at the edges of the surgical defect created (12 h, 3 h, 6 h, and 9 h), in addition to a central point on the bone graft.
DOI: 10.6084/m9.figshare.22858028.v1
title: Data - rats - JAMOVI.omv

description: ELO = LBE linear bone extension ANO = NBA newly formed bone area APR= RPA residual particle area The study has been conducted on 40 critical defects in the calvaria of male rats, divided into four experimental groups (<em>n</em> = 10): (1) DBBM (deproteinized bovine bone mineral - Bio - Oss - BO); (2) GBR (DBBM+collagen membrane - BioGide - BO+M); (3) DBBM+P (DBBM+photobiomodulation - BO+L6); (4) GBR+P (GBR+photobiomodulation - BO+M+L6). Photobiomodulation: gallium-aluminum-arsenide laser (GaAlAs) (TheraLase DMC®, São Carlos, São Paulo, Brazil), in continuous emission mode, with a beam area of 0.028 cm2, a 730 nm wave length, 100 mW power, 210 J/cm2 energy density, 6 J per point, and an irradiation time of 60 s [15], at four points at the edges of the surgical defect created (12 h, 3 h, 6 h, and 9 h), in addition to a central point on the bone graft.
DOI: 10.5517/ccdc.csd.cc2dyl54
title: CCDC 2232966: Experimental Crystal Structure Determination

description: Related Article: Sourav Dutta, Arka Porey, Joyram Guin|2023|Chem.Commun.|59|5771|doi:10.1039/D3CC00489A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2f1sx6
title: CCDC 2236058: Experimental Crystal Structure Determination

description: Related Article: Shuai Liu, Nivesh Kumar, Frédéric Robert, Yannick Landais|2023|Org.Lett.|25|3072|doi:10.1021/acs.orglett.3c00900
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2d5wxd
title: CCDC 2210204: Experimental Crystal Structure Determination

description: Related Article: Sourav Biswas, Anish Kumar Das, Avirup Sardar, Surya Sekhar Manna, Pradip Kumar Mondal, Maurizio Polentarutti, Biswarup Pathak, Sukhendu Mandal|2023|Nanoscale|15|8377|doi:10.1039/D3NR01107K
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5066/p9f7kl9t
title: Wyoming Landscape Conservation Initiation Literature Database

description: The Wyoming Landscape Conservation Initiative Literature Database is a collection of publication records that reference the Wyoming Landscape Conservation Initiative (WLCI). The database was developed in an effort to provide the WLCI community with a more functional publication citation index and storage system. By maintaining the literature database, the WLCI community has the opportunity to streamline their workflow and gain further insight into the work that has been published on in regards to the WLCI effort. The xDD API, ScienceBase Catalog, USGS Publications Warehouse, ORCiD website, USGS Staff Profiles website, WLCI website, and the homepages of WLCI scientists were used to search and compile records. The records were entered into a shared library using Zotero, a reference management software. Zotero, along with other software options like Mendeley, RefWorks, EndNote, etc., facilitate the creation of literature databases. In order to confirm each record in the literature database represented a WLCI publication, each publication was searched for mention of the WLCI. To ensure each record included adequate information, records were automatically cross-referenced using the Zotero software and common digital identifiers (DOI or ISSN) or information was added manually. To improve the database, the Zotero duplication tool was used to detect and merge duplicate records and specific tags were incorporated into each record to indicate where the WLCI was referenced in a publication, how the WLCI was referenced in a publication, and/or through which search method the publication was found. The WLCI library can be accessed through three ways; by downloading the Zotero desktop application and syncing it to the online WLCI library, by accessing the WLCI library in the online Zotero application, and through the Zotero API. The library is open to the public. However, the records can only be added or edited by WLCI community members. Because the database is hosted by a third party provider, this data release offers access to the database records in the form of a CSV and RDF file.
DOI: 10.25345/c5833n813
title: MassIVE MSV000091967 - GNPS Ganoderma lucidum vs diary supplementary
title: Ganoderma lucidum Karst, a medicinal fungus called Lingzhi in China, is a commonly used Chinese herb and an important ingredient in traditional Chinese medicine herbal formulations for the prevention and treatment of various types of diseases, such as cancer, hepatopathy, arthritis, hypertension, neurasthenia, debility, etc. Lingzhi has long been used as a folk remedy for promotion of health and longevity in China and other oriental countries. The most attractive character of this kind of medicinal fungus is its immunomodulatory and antitumor activities.Using ESI-MS, it has been possible to obtain structurally significant fragmentation ions of triterpenoids. The present approach could be applied to studies of triterpenoids in crude extracts of G. lucidum.
DOI: 10.6084/m9.figshare.21075865.v1
title: Diffusion - LC Micro e Pequena Empresa (MPE)

description: Suplementos referentes à Análise de Sobrevivência realizada para explicar a difusão da LC 123/2006 (Micro e Pequena Empresa - MPE) nos municípios brasileiros no estado de São Paulo. Base utilizada, com co-variáveis dependentes do tempo Análise Kaplan Meier Modelo de Cox Análise de Resíduos de Schoenfeld
DOI: 10.5517/ccdc.csd.cc2flgdx
title: CCDC 2252069: Experimental Crystal Structure Determination

description: Related Article: Wenzhan Yang, Steve Cook, Dedong Wu|2023|Pharm. Res.|40|977|doi:10.1007/s11095-023-03503-2
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.