cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12845285.v1
title: Dispositivos móveis no contexto educacional.pdf

description: O objetivo deste trabalho é investigar como os dispositivos móveis podem ser utilizados por professores de ensino superior em sala de aula. Trata também da adaptação da biblioteca a um modelo que incorpore as novas Tecnologias Digitais de Informação e Comunicação (TDIC) no seu cotidiano, para melhor atender alunos da Universidade. Sinaliza a necessidade de uma reflexão sobre essa nova escola, os papéis dos estudantes, docentes, bibliotecários e gestores das bibliotecas para que haja inclusão digital e informacional, frente a essa nova realidade.The objective of this work is to investigate how mobile devices can be used by higher education teachers in the classroom. It also deals with the adaptation of the library to a model that incorporates the new Digital Information and Communication Technologies (TDIC) in their daily lives, in order to better serve students of the University. It signals the need for a reflection on this new school, the roles of students, teachers, librarians and library managers so that there is digital and informational inclusion, in the face of this new reality.<br>
DOI: 10.6084/m9.figshare.12845135
title: Temperature data of hydropower station study areas in the dry-hot-valley and the non-dry-hot valley

description: The dataset includes the temperature data of each hydropower station in different flood seasons and the 0 cm surface temperature data. The temperature data of hydropower stations is the surface temperature data of the study area in the wet season and the dry season before and after the construction of each hydropower station. The hydropower stations include Liyuan hydropower station and Ahai hydropower station in the dry-hot valley, Jinghong hydropower station and Laxiwa hydropower station in non-dry-hot valley. Based on the Landsat thermal infrared data, the surface temperature data were retrieved by atmospheric correction method. The data is used to calculate the temperature difference (relative temperature) between the reservoir and the downstream river of the dam and the temperature difference between the reservoir and the surrounding area. The 0 cm surface temperature data belongs to the meteorological station data. It comes from the China Meteorological data network and belongs to daily data. It is mainly used to calculate the annual average temperature of each research area in 2003, 2004, 2005, 2017, 2018 and 2019, indicating that the time nodes selected in the study are not special.<br>
DOI: 10.6084/m9.figshare.12845135.v1
title: Temperature data of hydropower station study areas in the dry-hot-valley and the non-dry-hot valley

description: The dataset includes the temperature data of each hydropower station in different flood seasons and the 0 cm surface temperature data. The temperature data of hydropower stations is the surface temperature data of the study area in the wet season and the dry season before and after the construction of each hydropower station. The hydropower stations include Liyuan hydropower station and Ahai hydropower station in the dry-hot valley, Jinghong hydropower station and Laxiwa hydropower station in non-dry-hot valley. Based on the Landsat thermal infrared data, the surface temperature data were retrieved by atmospheric correction method. The data is used to calculate the temperature difference (relative temperature) between the reservoir and the downstream river of the dam and the temperature difference between the reservoir and the surrounding area. The 0 cm surface temperature data belongs to the meteorological station data. It comes from the China Meteorological data network and belongs to daily data. It is mainly used to calculate the annual average temperature of each research area in 2003, 2004, 2005, 2017, 2018 and 2019, indicating that the time nodes selected in the study are not special.<br>
DOI: 10.6084/m9.figshare.12845442.v1
title: Incidence, Characteristics, and Outcomes of Acute Myocardial Infarction among Patients Admitted with Acute Exacerbation of Chronic Obstructive Lung Disease

description: The frequency, characteristics and outcomes of acute myocardial infarction (AMI) during exacerbation of chronic obstructive pulmonary disease (COPD) are unknown. Adult patients hospitalized with a principle diagnosis of acute COPD exacerbation were identified using retrospective analysis of the Nationwide Inpatient Sample (NIS) from 2003 to 2016. Patients were stratified into 2-groups with and without a secondary diagnosis of AMI. The study’s endpoints were in-hospital morbidity, mortality, and resource utilization. We also assessed the impact of invasive management strategy on the same end-points. We included 6 894 712 hospitalizations, of which 56 515 (0.82%) were complicated with AMIs. Patients with AMI were older, and had higher prevalence of known coronary disease (48.9% vs. 27.4%), atrial fibrillation (23.3% vs. 15.2%), heart failure (47.8% vs. 26.2%), and anemia (20.7% vs. 14.8%) (<i>p</i> p = 0.24). In 56 486 propensity-matched pairs of patients with and without AMI, mortality was higher in the AMI group (12.1% vs. 2.1%, <i>p</i> p
DOI: 10.6084/m9.figshare.12845442
title: Incidence, Characteristics, and Outcomes of Acute Myocardial Infarction among Patients Admitted with Acute Exacerbation of Chronic Obstructive Lung Disease

description: The frequency, characteristics and outcomes of acute myocardial infarction (AMI) during exacerbation of chronic obstructive pulmonary disease (COPD) are unknown. Adult patients hospitalized with a principle diagnosis of acute COPD exacerbation were identified using retrospective analysis of the Nationwide Inpatient Sample (NIS) from 2003 to 2016. Patients were stratified into 2-groups with and without a secondary diagnosis of AMI. The study’s endpoints were in-hospital morbidity, mortality, and resource utilization. We also assessed the impact of invasive management strategy on the same end-points. We included 6 894 712 hospitalizations, of which 56 515 (0.82%) were complicated with AMIs. Patients with AMI were older, and had higher prevalence of known coronary disease (48.9% vs. 27.4%), atrial fibrillation (23.3% vs. 15.2%), heart failure (47.8% vs. 26.2%), and anemia (20.7% vs. 14.8%) (<i>p</i> p = 0.24). In 56 486 propensity-matched pairs of patients with and without AMI, mortality was higher in the AMI group (12.1% vs. 2.1%, <i>p</i> p
DOI: 10.5281/zenodo.3940746
title: Elevation Models for Reproducible Evaluation of Terrain Representation – Archetypal Landforms

description: This is a set of five elevation models of archetypal landforms: a volcanic caldera (Crater Lake, Oregon, USA), active sand dunes (Great Sand Dunes, Colorado, USA), a braided riverbed (Jackson Hole, Wyoming, USA), folded ridges (Massanutten Mountain, Virginia, USA), and stabilized sand dunes (Sandhills, Nebraska, USA). All elevation models were derived from NED LiDAR sources with cell sizes ranging from 2 to 10 meters. The size of the models varies between 3900×3900 and 5300×5300 height samples. The elevation models are available in georeferenced GeoTIFF and Esri ASCII file formats. Version 1.0.1 removes empty space characters from the Esri ASCII file headers, which prevented the files from being opened by some software.
DOI: 10.5281/zenodo.3940476
title: Elevation Models for Reproducible Evaluation of Terrain Representation – Multiscale Models – Churfirsten GeoTIFF - Erronous

description: Multiscale elevation models centered on Churfirsten, Switzerland Resolutions: 30, 60, 120, 250, 500, 1,000, and 2,000 meters, 2,500 x 1,500 height samples each File format: GeoTIFF
DOI: 10.5281/zenodo.3940475
title: Elevation Models for Reproducible Evaluation of Terrain Representation – Multiscale Models – Churfirsten GeoTIFF - Erronous

description: Multiscale elevation models centered on Churfirsten, Switzerland Resolutions: 30, 60, 120, 250, 500, 1,000, and 2,000 meters, 2,500 x 1,500 height samples each File format: GeoTIFF
DOI: 10.5517/ccdc.csd.cc23bmjm
title: CCDC 1946630: Experimental Crystal Structure Determination

description: Related Article: Sipun Sethi, Rachita Panigrahi, Avijit Kumar Paul, Bhabani S. Mallik, Purnendu Parhi, Pradeep Kumar Das, Nabakrushna Behera|2020|Dalton Trans.|49|10603|doi:10.1039/D0DT02014A
DOI: 10.5517/ccdc.csd.cc246h0w
title: CCDC 1972437: Experimental Crystal Structure Determination

description: Related Article: Jiaqi Chi, Mingyue Fan, Zhongmin Su, Xiao Li, Jing Sun, Chen Zhou, Xiaoli Hu|2020|New J.Chem.|44|13524|doi:10.1039/D0NJ00169D
DOI: 10.5517/ccdc.csd.cc24gfqs
title: CCDC 1980085: Experimental Crystal Structure Determination

description: Related Article: Pragya Shukla, Kamal Uddin Ansari, Chen Gao, Shefali Vaidya, Shalini Tripathi, Pardeep Kumar, Ray J. Butcher, Jacob Overgaard, Maheswaran Shanmugam|2020|Dalton Trans.|49|10580|doi:10.1039/D0DT00949K
DOI: 10.5517/ccdc.csd.cc24gfrt
title: CCDC 1980086: Experimental Crystal Structure Determination

description: Related Article: Pragya Shukla, Kamal Uddin Ansari, Chen Gao, Shefali Vaidya, Shalini Tripathi, Pardeep Kumar, Ray J. Butcher, Jacob Overgaard, Maheswaran Shanmugam|2020|Dalton Trans.|49|10580|doi:10.1039/D0DT00949K
DOI: 10.5517/ccdc.csd.cc24gfsv
title: CCDC 1980087: Experimental Crystal Structure Determination

description: Related Article: Pragya Shukla, Kamal Uddin Ansari, Chen Gao, Shefali Vaidya, Shalini Tripathi, Pardeep Kumar, Ray J. Butcher, Jacob Overgaard, Maheswaran Shanmugam|2020|Dalton Trans.|49|10580|doi:10.1039/D0DT00949K
DOI: 10.5517/ccdc.csd.cc24gftw
title: CCDC 1980088: Experimental Crystal Structure Determination

description: Related Article: Pragya Shukla, Kamal Uddin Ansari, Chen Gao, Shefali Vaidya, Shalini Tripathi, Pardeep Kumar, Ray J. Butcher, Jacob Overgaard, Maheswaran Shanmugam|2020|Dalton Trans.|49|10580|doi:10.1039/D0DT00949K
DOI: 10.5061/dryad.69p8cz8z6
title: Identification of GGC repeat expansion in the NOTCH2NLC gene in amyotrophic lateral sclerosis

description: Objective: To determine whether the GGC repeats in the NOTCH2NLC gene contribute to amyotrophic lateral sclerosis (ALS). Methods In this study, 545 ALS patients and 1305 healthy controls from mainland China were recruited. Several pathogenic mutations in known ALS-causative genes, including polynucleotide repeat expansions in the C9ORF72, ATXN2, NOP56, and AR genes, had already been excluded. Repeat-primed PCR (RP-PCR) and GC-rich PCR were performed to determine the GGC repeat size in NOTCH2NLC. Systematic and targeted clinical evaluations and investigations including skin biopsy and dynamic electrophysiological studies were conducted in the genetically affected patients. Results GGC repeat expansion was observed in four patients (numbers of repeats: 44, 54, 96, and 143), accounting for approximately 0.73% (4/545) of all ALS patients. A comparison with 1305 healthy controls revealed that GGC repeat expansion in NOTCH2NLC was associated with ALS (Fisher’s exact test, p=0.007). Compared to patients with the NIID muscle-weakness-dominant subtype, patients with ALS phenotype carrying the abnormal repeat expansion tended to have a severe and rapid deterioration. Conclusion Our results suggest that ALS is a specific phenotype of NIID or that GGC expansion in NOTCH2NLC is a factor that modifies ALS. These findings may help clarify the pathogenic mechanism of ALS and may expand the known clinical spectrum of NIID.
description: We summarized the results of nerve conduction studies in NIID-A patients, ALS patient, and NIID-M patient. we defined ALS patients with pathogenic GGC repeats in NOTCH2NLC gene as NIID-A patients.
DOI: 10.5281/zenodo.3995590
title: Supplementary files for Silva et al. 2020: R Code, data and figures

description: Datasets and R code pertaining to the preprint: Silva, I., Crane, M., Marshall, B.M., & Strine, C.T. (2020).<em> Revisiting reptile home ranges: moving beyond traditional estimators with dynamic Brownian Bridge Movement Models</em>. Preprint available at https://www.biorxiv.org/content/10.1101/2020.02.10.941278v1
DOI: 10.6084/m9.figshare.10310477.v1
title: A Four-Month Lead Predictor of Open-Water Onset in Bering Strait

description: Sea-ice concentration based on satellite remote sensing CDR data set.Model results are obtained from a hindcast simulation for 1994-2015, including ice concentration, ice melt rates, freshwater flux from ice to ocean, temperature, salinity, and ocean currents.
DOI: 10.6084/m9.figshare.10310477
title: A Four-Month Lead Predictor of Open-Water Onset in Bering Strait

description: Sea-ice concentration based on satellite remote sensing CDR data set.Model results are obtained from a hindcast simulation for 1994-2015, including ice concentration, ice melt rates, freshwater flux from ice to ocean, temperature, salinity, and ocean currents.
DOI: 10.5517/ccdc.csd.cc1z4snk
title: CCDC 1821859: Experimental Crystal Structure Determination

description: Related Article: Younes Hanifehpour, Babak Mirtamizdoust, Hossein Ahmadi, Ruiyao Wang, Sang Woo Joo|2021|J.Mol.Struct.|1224|129031|doi:10.1016/j.molstruc.2020.129031
DOI: 10.5517/ccdc.csd.cc23hj05
title: CCDC 1951326: Experimental Crystal Structure Determination

description: Related Article: Suven Das, Purak Das, Suvendu Maity, Prasanta Ghosh, Arpita Dutta|2021|J.Mol.Struct.|1224|129033|doi:10.1016/j.molstruc.2020.129033
DOI: 10.5517/ccdc.csd.cc25blkp
title: CCDC 2006182: Experimental Crystal Structure Determination

description: Related Article: Jérôme Long, Alexander N. Selikhov, Konstantin A. Lyssenko, Yannick Guari, Joulia Larionova, Alexander A. Trifonov|2020|Organometallics|39|2785|doi:10.1021/acs.organomet.0c00426
DOI: 10.5517/ccdc.csd.cc25fsbr
title: CCDC 2009244: Experimental Crystal Structure Determination

description: Related Article: Hui Chen, Weiwei Jin, Shouyun Yu|2020|Org.Lett.|22|5910|doi:10.1021/acs.orglett.0c02008
DOI: 10.25345/c5t758
title: MassIVE MSV000085996 - Cross-linking mass spectrometry analysis of human ADAR1 deaminase domain WT using an MS-cleavable cross-linker, DSBU
title: Cross-linking mass spectrometry analysis of human ADAR1 deaminase domain WT protein (hADAR1d WT) was carried out using an MS-cleavable cross-linker, DSBU, to support the homology model structure of hADAR1d WT.
DOI: 10.5281/zenodo.3992106
title: Dataset of real-world WebXR bugs

description: This is the released dataset of paper <em>An Exploratory Study of Bugs in Extended Reality Applications on the Web </em> to appear in ISSRE 2020. The "WebXR-Bugs-Dataset.zip" includes: (1) A WebXR bug dataset. The dataset contains 368 real bugs from 33 WebXR projects hosted on GitHub, with the final taxonomy with respect to their symptoms and root causes. (2) Materials of the manual analysis process of each round before the final taxonomy was built. The whole process contains 7 rounds. Our dataset is also released at this website: https://sites.google.com/view/webxr-bug-study/.
DOI: 10.5517/ccdc.csd.cc25qz41
title: CCDC 2018073: Experimental Crystal Structure Determination

description: Related Article: Shenglai Yao, Arseni Kostenko, Yun Xiong, Ales Ruzicka, Matthias Driess|2020|J.Am.Chem.Soc.|142|12608|doi:10.1021/jacs.0c06238
DOI: 10.5517/ccdc.csd.cc25qz52
title: CCDC 2018074: Experimental Crystal Structure Determination

description: Related Article: Shenglai Yao, Arseni Kostenko, Yun Xiong, Ales Ruzicka, Matthias Driess|2020|J.Am.Chem.Soc.|142|12608|doi:10.1021/jacs.0c06238
DOI: 10.6084/m9.figshare.12845801
title: modified 33bus IEEE system parameter.docx

description: modified 33bus system data
DOI: 10.5281/zenodo.3995853
title: CLDF dataset derived from Gauchat et al.'s "Tableaux phonétiques des patois suisses romands" from 1925

description: Cite the source of the dataset as: Gauchat, L.; Jeanjaquet, J. & Tappolet, E. (1925): Tableaux phonétiques des patois suisses romands Attinger: Neuchâtel.
DOI: 10.6084/m9.figshare.12845825
title: Quantitative risk assessment of storm surge using open data in Daya Bay Zone, China

description: 1. The Datasets were used in the study downloaded from open sources. <br>2. The Result Data include that the simulated inundation extent and depth of storm surge from the Advanced Circulation (ADCIRC) model and the Simulating Waves Nearshore (SWAN) model for five individual typhoon scenarios with 1000-years/880 hPa, 100-years/910 hPa, 50-years/920 hPa, 20-years/930 hPa, and 10-years/940 hPa) And the exposed elements for each typhoon scenario, which are operated on ArcGIS 10.5 platform.<br>3. The post-disaster field survey reports containing the damage data and images captured by a drone after typhoon Mangkhut stroke the study area are provided. The reports are used to evaluate the performance of risk zonation maps and quantitative risk assessment in the study, which are titled "Survey report with data (Supplemental file_1).docx". and "Survey report with images (Supplemental file_2).doxc".<br>
DOI: 10.6084/m9.figshare.12845825.v1
title: Quantitative risk assessment of storm surge using open data in Daya Bay Zone, China

description: 1. The Datasets were used in the study downloaded from open sources. <br>2. The Result Data include that the simulated inundation extent and depth of storm surge from the Advanced Circulation (ADCIRC) model and the Simulating Waves Nearshore (SWAN) model for five individual typhoon scenarios with 1000-years/880 hPa, 100-years/910 hPa, 50-years/920 hPa, 20-years/930 hPa, and 10-years/940 hPa) And the exposed elements for each typhoon scenario, which are operated on ArcGIS 10.5 platform.<br>3. The post-disaster field survey reports containing the damage data and images captured by a drone after typhoon Mangkhut stroke the study area are provided. The reports are used to evaluate the performance of risk zonation maps and quantitative risk assessment in the study, which are titled "Survey report with data (Supplemental file_1).docx". and "Survey report with images (Supplemental file_2).doxc".<br>
DOI: 10.5281/zenodo.3995107
title: A unique case of complex interaction between MSTIDs and mid-latitude field-aligned plasma depletions over geomagnetic low-mid latitude transition region

description: 630.0 nm airglow emission data from Hanle all-sky imager New Delhi Ionograms GIRI Radar Data
DOI: 10.5281/zenodo.3995106
title: A unique case of complex interaction between MSTIDs and mid-latitude field-aligned plasma depletions over geomagnetic low-mid latitude transition region

description: 630.0 nm airglow emission data from Hanle all-sky imager New Delhi Ionograms GIRI Radar Data
DOI: 10.5517/ccdc.csd.cc25t449
title: CCDC 2020150: Experimental Crystal Structure Determination

description: Related Article: Serap Uzun, Zeynep Demircioğlu, Mahmut Taşdoğan, Erbil Ağar|2020|J.Mol.Struct.|1206|127749|doi:10.1016/j.molstruc.2020.127749
DOI: 10.5281/zenodo.3995922
title: Regional economic growth in Kazakhstan: the impact of ICT access

description: Regional economic growth in Kazakhstan: the impact of ICT access<strong>R</strong><strong>egional economic growth in Kazakhstan: the impact of ICT accessR</strong><strong>egional economic growth in Kazakhstan: the impact of ICT accessR</strong><strong>egional economic growth in Kazakhsta</strong><strong>n: the impact of ICT access</strong>
DOI: 10.5281/zenodo.3995921
title: Regional economic growth in Kazakhstan: the impact of ICT access

description: Regional economic growth in Kazakhstan: the impact of ICT access<strong>R</strong><strong>egional economic growth in Kazakhstan: the impact of ICT accessR</strong><strong>egional economic growth in Kazakhstan: the impact of ICT accessR</strong><strong>egional economic growth in Kazakhsta</strong><strong>n: the impact of ICT access</strong>
DOI: 10.5281/zenodo.3995952
title: Characterization of novel spectrum and activity of R-pyocin of clinical Pseudomonas aeruginosa PU15

description: Original Research representing the antimicrobial activity of the tailocin R-pyocin against AMR Gram-Positive pathogens and anti-biofilm activity as well.
DOI: 10.5281/zenodo.3995951
title: Characterization of novel spectrum and activity of R-pyocin of clinical Pseudomonas aeruginosa PU15

description: Original Research representing the antimicrobial activity of the tailocin R-pyocin against AMR Gram-Positive pathogens and anti-biofilm activity as well.
DOI: 10.15161/oar.it/30637
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.34740/kaggle/dsv/1435424
title: Dubai Real Estate Transactions
DOI: 10.21227/rtqz-wt18
title: FallAllD: A Comprehensive Dataset of Human Falls and Activities of Daily Living

description: DescriptionFallAllD is a large open dataset of human falls and activities of daily living simulated by 15 participants. FallAllD consists of 26420 files collected using three data-loggers worn on the waist, wrist and neck of the subjects. Motion signals are captured using an accelerometer, gyroscope, magnetometer and barometer with efficient configurations that suit the potential applications e.g. fall detection, fall prevention and human activity recognition.Data AcquisitionThree identical data-loggers have been used. They are waist, wrist and neck-worn devices equipped with:· LSM9DS1: 3-axial accelerometer, 3-axial gyroscope and 3-axial magnetometer.· MS5607-02BA03: barometer.Sensors configurations· Accelerometer: Sampling frequency = 238 Hz. Measurement range = ±8 g.· Gyroscope: Sampling frequency = 238 Hz. Angular rate = ± 2000 dps.· Magnetometer: Sampling frequency = 80 Hz. Full scale magnetic field = ±4 Gauss.· Barometer: Sampling frequency = 10 Hz.
DOI: 10.21227/fpxy-h395
title: FallAllD: A Comprehensive Dataset of Human Falls and Activities of Daily Living

description: DescriptionFallAllD is a large open dataset of human falls and activities of daily living simulated by 15 participants. FallAllD consists of 26420 files collected using three data-loggers worn on the waist, wrist and neck of the subjects. Motion signals are captured using an accelerometer, gyroscope, magnetometer and barometer with efficient configurations that suit the potential applications e.g. fall detection, fall prevention and human activity recognition.Data AcquisitionThree identical data-loggers have been used. They are waist, wrist and neck-worn devices equipped with:· LSM9DS1: 3-axial accelerometer, 3-axial gyroscope and 3-axial magnetometer.· MS5607-02BA03: barometer.Sensors configurations· Accelerometer: Sampling frequency = 238 Hz. Measurement range = ±8 g.· Gyroscope: Sampling frequency = 238 Hz. Angular rate = ± 2000 dps.· Magnetometer: Sampling frequency = 80 Hz. Full scale magnetic field = ±4 Gauss.· Barometer: Sampling frequency = 10 Hz.
DOI: 10.5281/zenodo.3992665
title: Solar Power Dataset (4 Seconds Observations)

description: This dataset contains a single very long daily time series representing the solar power production in MW recorded per every 4 seconds starting from 01/08/2019. It was downloaded from the Australian Energy Market Operator (AEMO) online platform. The length of this time series is 7397222.
description: {"references": ["Australian Energy Market Operator, 2020. https://aemo.com.au/", "Australian Energy Market Operator, 2020. Market Data NemWeb, http://www.nemweb.com.au/"]}