cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3778133
title: Dispa-SET Output files for the JRC report "Power System Flexibility in a variable climate"

description: Here you can find the model results of the report: <pre><code>De Felice, M., Busch, S., Kanellopoulos, K., Kavvadias, K. and Hidalgo Gonzalez, I., Power system flexibility in a variable climate, EUR 30184 EN, Publications Office of the European Union, Luxembourg, 2020, ISBN 978-92-76-18183-5 (online), doi:10.2760/75312 (online), JRC120338. </code></pre> This dataset contains both the raw GDX files generated by the GAMS (&lt;www.gams.com&gt;) optimiser for the Dispa-SET model. Details on the output format and the names of the variables can be found in the Dispa-SET documentation. A markdown notebook in R (and the rendered PDF) contains an example on how to read the GDX files in R. We also include in this dataset a data frame saved in the Apache Parquet format that can be read both in R and Python. A description of the methodology and the data sources with the references can be found into the report. <strong>Linked resources</strong> Input files:<strong> </strong>https://zenodo.org/record/3775569#.XqqY3JpS-fc Source code for the figures: https://github.com/energy-modelling-toolkit/figures-JRC-report-power-system-and-climate-variability
DOI: 10.5281/zenodo.3778249
title: Linked COVID-19 Data: Johns Hopkins University (JHU) and European Centre for Disease Prevention and Control (ECDC)

description: Linked COVID-19 Data derived from <strong>Johns Hopkins University</strong> and <strong>European Centre for Disease Prevention and Control</strong> using the COVID-19 Ontology 10.5281/zenodo.3757828 developed for the Linked COVID-19 Data Dashboard: http://covid19data.link This files include data for covid19_jhu.ttl - COVID-19 data collected by the JHU covid19_ecdc.ttl - COVID-19 data collected by the ECDC This RDF files are based on https://pomber.github.io/covid19/timeseries.json https://opendata.ecdc.europa.eu/covid19/casedistribution/json/
DOI: 10.5281/zenodo.3778343
title: ISI-journal

description: ISI-journal
DOI: 10.5281/zenodo.3778342
title: ISI-journal

description: ISI-journal
DOI: 10.5281/zenodo.3778285
title: Dotazníky a frekvenčné tabuľky z dotazníkového prieskumu To dá rozum - vysoké školy

description: Dotazníky a frekvenčné tabuľky z dotazníkového prieskumu To dá rozum (2018) na úrovni vysokých škôl. Dataset obsahuje dotazníky (v PDF), základné frekvencie a frekvencie triedené podľa vybraných znakov pre nasledujúce skupiny respondentov: Študenti 1. a 2. stupňa VŠ štúdia na Slovensku Študenti 1. a 2. stupňa VŠ štúdia zo Slovenska študujúci na vysokej škole v zahraničí Študenti doktorandského štúdia študujúci na vysokých školách na Slovensku Vysokoškolskí učitelia a vedeckí a umeleckí pracovníci, pôsobiaci na Slovensku Vysokoškolskí učitelia a vedci zo Slovenska pôsobiaci na VŠ, vo výskumných inštitúciách a v praxi v zahraničí Štatistická významnosť pri interpretácii dát bola stanovená na minimálne 30 respondentov.
DOI: 10.5281/zenodo.3778286
title: Dotazníky a frekvenčné tabuľky z dotazníkového prieskumu To dá rozum - vysoké školy

description: Dotazníky a frekvenčné tabuľky z dotazníkového prieskumu To dá rozum (2018) na úrovni vysokých škôl. Dataset obsahuje dotazníky (v PDF), základné frekvencie a frekvencie triedené podľa vybraných znakov pre nasledujúce skupiny respondentov: Študenti 1. a 2. stupňa VŠ štúdia na Slovensku Študenti 1. a 2. stupňa VŠ štúdia zo Slovenska študujúci na vysokej škole v zahraničí Študenti doktorandského štúdia študujúci na vysokých školách na Slovensku Vysokoškolskí učitelia a vedeckí a umeleckí pracovníci, pôsobiaci na Slovensku Vysokoškolskí učitelia a vedci zo Slovenska pôsobiaci na VŠ, vo výskumných inštitúciách a v praxi v zahraničí Štatistická významnosť pri interpretácii dát bola stanovená na minimálne 30 respondentov.
DOI: 10.5281/zenodo.3778330
title: Dotazníky a frekvenčné tabuľky z dotazníkového prieskumu To dá rozum - základné školy

description: Dotazníky a frekvenčné tabuľky z dotazníkového prieskumu To dá rozum (2018) na úrovni základných škôl. Dataset obsahuje dotazníky (v PDF), základné frekvencie a frekvencie triedené podľa vybraných znakov pre nasledujúce skupiny respondentov: Riaditelia a riadteľky základných škôl Riaditelia a riadteľky špeciálnych základných škôl Učitelia a učiteľky základných škôl Učitelia a učiteľky špeciálnych základných škôl Odborní zamestnanci a zamestnankyne základných a špeciálnych základných škôl Pedagogickí asistenti a asistentky základných a špeciálnych základných škôl Výchovní poradcovia a poradkyne základných a špeciálnych základných škôl Štatistická významnosť pri interpretácii dát bola stanovená na minimálne 30 respondentov.
DOI: 10.5281/zenodo.3778331
title: Dotazníky a frekvenčné tabuľky z dotazníkového prieskumu To dá rozum - základné školy

description: Dotazníky a frekvenčné tabuľky z dotazníkového prieskumu To dá rozum (2018) na úrovni základných škôl. Dataset obsahuje dotazníky (v PDF), základné frekvencie a frekvencie triedené podľa vybraných znakov pre nasledujúce skupiny respondentov: Riaditelia a riadteľky základných škôl Riaditelia a riadteľky špeciálnych základných škôl Učitelia a učiteľky základných škôl Učitelia a učiteľky špeciálnych základných škôl Odborní zamestnanci a zamestnankyne základných a špeciálnych základných škôl Pedagogickí asistenti a asistentky základných a špeciálnych základných škôl Výchovní poradcovia a poradkyne základných a špeciálnych základných škôl Štatistická významnosť pri interpretácii dát bola stanovená na minimálne 30 respondentov.
DOI: 10.21227/k8ew-s387
title: EEG Data for Patients Receiving Intravenous Antibiotic Medication

description: In this dataset, we conduct a biological data collectionand analysis study for patients undergoing routine plannedtreatment. The acquired data (i.e., Electroencephalogram (EEG)and routine observational data such as temperature and bloodpressure) are processed using different machine learning anddeep learning models to learn the dynamic properties of brainelectrical activity from different patients. Thus, the primaryobjective of our study is the safe collection of EEG data frompatients receiving antibiotic therapy, in addition to analyzingthe acquired data for detecting the medication side effects, i.e.,that might indicate risk of seizure. Indeed, we propose twomachine learning models to analyze the acquired data fromdiverse patients: before, during, and after taking the medications.
DOI: 10.5281/zenodo.3778334
title: Dotazníky a frekvenčné tabuľky z dotazníkového prieskumu To dá rozum - stredné školy

description: Dotazníky a frekvenčné tabuľky z dotazníkového prieskumu To dá rozum (2018) na úrovni stredných škôl. Dataset obsahuje dotazníky (v PDF), základné frekvencie a frekvencie triedené podľa vybraných znakov pre nasledujúce skupiny respondentov: Riaditelia a riadteľky stredných škôl Riaditelia a riadteľky špeciálnych stredných škôl Učitelia a učiteľky stredných škôl Učitelia a učiteľky špeciálnych stredných škôl Žiaci a žiačky stredných škôl Odborní zamestnanci a zamestnankyne stredných a špeciálnych stredných škôl Pedagogickí asistenti a asistentky stredných a špeciálnych stredných škôl Výchovní poradcovia a poradkyne stredných a špeciálnych stredných škôl Majstri a majsterky odbornej výchovy stredných a špeciálnych stredných škôl Štatistická významnosť pri interpretácii dát bola stanovená na minimálne 30 respondentov.
DOI: 10.5281/zenodo.3778333
title: Dotazníky a frekvenčné tabuľky z dotazníkového prieskumu To dá rozum - stredné školy

description: Dotazníky a frekvenčné tabuľky z dotazníkového prieskumu To dá rozum (2018) na úrovni stredných škôl. Dataset obsahuje dotazníky (v PDF), základné frekvencie a frekvencie triedené podľa vybraných znakov pre nasledujúce skupiny respondentov: Riaditelia a riadteľky stredných škôl Riaditelia a riadteľky špeciálnych stredných škôl Učitelia a učiteľky stredných škôl Učitelia a učiteľky špeciálnych stredných škôl Žiaci a žiačky stredných škôl Odborní zamestnanci a zamestnankyne stredných a špeciálnych stredných škôl Pedagogickí asistenti a asistentky stredných a špeciálnych stredných škôl Výchovní poradcovia a poradkyne stredných a špeciálnych stredných škôl Majstri a majsterky odbornej výchovy stredných a špeciálnych stredných škôl Štatistická významnosť pri interpretácii dát bola stanovená na minimálne 30 respondentov.
DOI: 10.5281/zenodo.3778322
title: Dotazníky a frekvenčné tabuľky z dotazníkového prieskumu To dá rozum - materské školy

description: Dotazníky a frekvenčné tabuľky z dotazníkového prieskumu To dá rozum (2018) na úrovni materských škôl. Dataset obsahuje dotazníky (v PDF), základné frekvencie a frekvencie triedené podľa vybraných znakov pre nasledujúce skupiny respondentov: Riaditelia a riadteľky materských škôl Riaditelia a riadteľky špeciálnych materských škôl Učitelia a učiteľky materských škôl Učitelia a učiteľky špeciálnych materských škôl Odborní zamestnanci a zamestnankyne materských a špeciálnych materských škôl Pedagogickí asistenti a asistentky materských a špeciálnych materských škôl Štatistická významnosť pri interpretácii dát bola stanovená na minimálne 30 respondentov.
DOI: 10.5281/zenodo.3778321
title: Dotazníky a frekvenčné tabuľky z dotazníkového prieskumu To dá rozum - materské školy

description: Dotazníky a frekvenčné tabuľky z dotazníkového prieskumu To dá rozum (2018) na úrovni materských škôl. Dataset obsahuje dotazníky (v PDF), základné frekvencie a frekvencie triedené podľa vybraných znakov pre nasledujúce skupiny respondentov: Riaditelia a riadteľky materských škôl Riaditelia a riadteľky špeciálnych materských škôl Učitelia a učiteľky materských škôl Učitelia a učiteľky špeciálnych materských škôl Odborní zamestnanci a zamestnankyne materských a špeciálnych materských škôl Pedagogickí asistenti a asistentky materských a špeciálnych materských škôl Štatistická významnosť pri interpretácii dát bola stanovená na minimálne 30 respondentov.
DOI: 10.21227/4krf-dm54
title: Monitoring and assessmennt for vital signs of human beings

description: Internet of Things (IoT) make the world easy, with healthcare applications being the most important. In general, IoT is used to interconnect advanced medical resources and provide smart and effective healthcare services to people. Advanced sensors can either be worn or embedded in patients' bodies, so that their health can be monitored remotely. Information collected in this way can be analyzed, collected, and mined to make an early prediction of diseases. Processing algorithms help physicians to personalize treatment and it helps to make healthcare affordable, with better results. Furthermore, in this paper, we highlight the challenges faced in the implementation of IoT health monitoring systems in the real world.
DOI: 10.21227/xhcq-6v14
title: Monitoring and assessmennt for vital signs of human beings

description: Internet of Things (IoT) make the world easy, with healthcare applications being the most important. In general, IoT is used to interconnect advanced medical resources and provide smart and effective healthcare services to people. Advanced sensors can either be worn or embedded in patients' bodies, so that their health can be monitored remotely. Information collected in this way can be analyzed, collected, and mined to make an early prediction of diseases. Processing algorithms help physicians to personalize treatment and it helps to make healthcare affordable, with better results. Furthermore, in this paper, we highlight the challenges faced in the implementation of IoT health monitoring systems in the real world.
DOI: 10.3886/e119188v1
title: CIVCOR_BJSP

description: Dataset civcor_bjsp
DOI: 10.3886/e119188
title: CIVCOR_BJSP

description: Dataset civcor_bjsp
DOI: 10.21227/aw2e-em67
title: Monitoring and assessmennt for vital signs of human beings

description: Internet of Things (IoT) make the world easy, with healthcare applications being the most important. In general, IoT is used to interconnect advanced medical resources and provide smart and effective healthcare services to people. Advanced sensors can either be worn or embedded in patients' bodies, so that their health can be monitored remotely. Information collected in this way can be analyzed, collected, and mined to make an early prediction of diseases. Processing algorithms help physicians to personalize treatment and it helps to make healthcare affordable, with better results. Furthermore, in this paper, we highlight the challenges faced in the implementation of IoT health monitoring systems in the real world.
DOI: 10.5281/zenodo.3778354
title: Data and codes for Steer et al. (2020) Scientific Reports

description: Datasets and codes used in Steer et al. (2020) at Scientific Reports
DOI: 10.5281/zenodo.3778355
title: Data and codes for Steer et al. (2020) Scientific Reports

description: Datasets and codes used in Steer et al. (2020) at Scientific Reports
DOI: 10.7910/dvn/8f4ptw/tlmzrh
title: Kemahlioglu SEPS replication dataset.tab

description: :unav
DOI: 10.25345/c50d92
title: MassIVE MSV000085353 - A pain-causing and paralytic ant venom glycopeptide
title: We discovered a 63-residue O-linked glycopeptide (Mg7a) in venom of the giant red bull ant, Myrmecia gulosa. Electron transfer dissociation and higher-energy collisional dissociation tandem mass spectrometry of full-length and enzymatically digested peptide confirmed the presence of 3 alpha-GalNAc post-translational modifications. Full-length glycosylated Mg7a was synthesized via solid-phase peptide synthesis combined with diselenide-selenoester ligation-deselenization chemistry. Consistent with roles in both predation and defence, Mg7a was found to be lethal to insects, and triggered pain behaviour and inflammation in mammals. Deglycosylation of Mg7a rendered it insoluble in aqueous solution, suggesting a key solubilizing role of the O-glycans that decorate this peptide.
DOI: 10.5258/soton/d1344
title: Kepler FFI Transient and Variable Search

description: Positions, magnitudes and changes in magnitude between objects found within difference image subtracted Kepler Full Frame Images. This dataset supports the thesis entitled "Improving the Quality of Astronomical Survey Data", University of Southampton.
DOI: 10.5281/zenodo.3778377
title: COEMS EU2020 Open Data

description: Open Data generated in the context of the COEMS H2020 project for the monitoring of execution traces. The Open Data includes the software source code, the instrumented binary files that we monitor, the execution traces and the output analysis that the TeSSLa specifications generated. The experiments are executed both in x86/ARM architectures. The x86 experiments corresponds to the offline monitoring of the execution traces; while the ARM experiments corresponds to the online monitoring via the COEMS hardware specific infrastructure. The Open Data includes 4 case of study from COEMS industrial partner.
DOI: 10.15468/78zn6y
title: The Lanternfly genus Polydictya (Hemiptera: Fulgoromorpha: Fulgoridae) from Sulawesi and neighbouring islands, with the description of three new species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Constant, Jérôme (2015): The Lanternfly genus Polydictya (Hemiptera: Fulgoromorpha: Fulgoridae) from Sulawesi and neighbouring islands, with the description of three new species. European Journal of Taxonomy 110: 1-19, DOI: http://dx.doi.org/10.5852/ejt.2015.110
DOI: 10.15468/awkpct
title: Two new coastal species of Elaphropeza Macquart (Diptera: Hybotidae) from Bali, Indonesia

description: This dataset contains the digitized treatments in Plazi based on the original journal article Grootaert, Patrick, Velde, Isabella Van De, Shamshev, Igor V. (2015): Two new coastal species of Elaphropeza Macquart (Diptera: Hybotidae) from Bali, Indonesia. European Journal of Taxonomy 112: 1-10, DOI: http://dx.doi.org/10.5852/ejt.2015.112
DOI: 10.17632/5szmt6k9m5.1
title: Smoke Test (HomeWiFI) 30Apr2020 natscilivecustomer (Dataset-1)

description: Smoke Test (HomeWiFI) 30Apr2020 natscilivecustomer (Dataset-1)
DOI: 10.5258/soton/d0999
title: Dynamic Topology Optimization Model DataSet

description: This dataset supports the MPhil thesis: Li Zhu (2019) 'Dynamic topology optimization of plate for vibration suppression', University of Southampton This dataset contains all the simulation code and data used to generate the figures included in the main text.
DOI: 10.7910/dvn/28075/lkxtsz
title: events.2020.20200427085547.tab

description: Event data for 2020 through the end of March. Purely US domestic events are omitted.
DOI: 10.15468/rcnxx8
title: Eugenia sapoensis Jongkind from Liberia and Eugenia breteleri Jongkind from Gabon, two new forest species (Myrtales: Myrtaceae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Jongkind, Carel C. H. (2015): Eugenia sapoensis Jongkind from Liberia and Eugenia breteleri Jongkind from Gabon, two new forest species (Myrtales: Myrtaceae). European Journal of Taxonomy 113: 1-9, DOI: http://dx.doi.org/10.5852/ejt.2015.113
DOI: 10.21227/ewh0-gv46
title: EEG Data for Patients Receiving Intravenous Antibiotic Medication

description: In this dataset, we conduct a biological data collectionand analysis study for patients undergoing routine plannedtreatment. The acquired data (i.e., Electroencephalogram (EEG)and routine observational data such as temperature and bloodpressure) are processed using different machine learning anddeep learning models to learn the dynamic properties of brainelectrical activity from different patients. Thus, the primaryobjective of our study is the safe collection of EEG data frompatients receiving antibiotic therapy, in addition to analyzingthe acquired data for detecting the medication side effects, i.e.,that might indicate risk of seizure. Indeed, we propose twomachine learning models to analyze the acquired data fromdiverse patients: before, during, and after taking the medications.
DOI: 10.5281/zenodo.3778403
title: COEMS EU2020 Open Data

description: Open Data generated in the context of the COEMS H2020 project for the monitoring of execution traces. The Open Data includes the software source code, the instrumented binary files that we monitor, the execution traces and the output analysis that the TeSSLa specifications generated. The experiments are executed both in x86/ARM architectures. The x86 experiments corresponds to the offline monitoring of the execution traces; while the ARM experiments corresponds to the online monitoring via the COEMS hardware specific infrastructure. The Open Data includes 2 case of study from a COEMS industrial partner.
DOI: 10.5281/zenodo.3778404
title: COEMS EU2020 Open Data

description: Open Data generated in the context of the COEMS H2020 project for the monitoring of execution traces. The Open Data includes the software source code, the instrumented binary files that we monitor, the execution traces and the output analysis that the TeSSLa specifications generated. The experiments are executed both in x86/ARM architectures. The x86 experiments corresponds to the offline monitoring of the execution traces; while the ARM experiments corresponds to the online monitoring via the COEMS hardware specific infrastructure. The Open Data includes 4 case of study from a COEMS industrial partner.
DOI: 10.5281/zenodo.3778541
title: COEMS EU2020 Open Data

description: Open Data generated in the context of the COEMS H2020 project for the monitoring of execution traces. The Open Data includes the software source code, the instrumented binary files that we monitor, the execution traces and the output analysis that the TeSSLa specifications generated. The experiments are executed both in x86/ARM architectures. The x86 experiments corresponds to the offline monitoring of the execution traces; while the ARM experiments corresponds to the online monitoring via the COEMS hardware specific infrastructure. The Open Data includes 4 case of study from a COEMS industrial partner.
DOI: 10.15468/679qrx
title: On the Bennelongia nimala and B. triangulata lineages (Crustacea, Ostracoda) in Western Australia, with the description of six new species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Martens, Koen, Halse, Stuart, Schön, Isa (2015): On the Bennelongia nimala and B. triangulata lineages (Crustacea, Ostracoda) in Western Australia, with the description of six new species. European Journal of Taxonomy 111: 1-36, DOI: http://dx.doi.org/10.5852/ejt.2015.111
DOI: 10.5281/zenodo.3778407
title: KCNQ1 Antibodies for Immunotherapy of Long QT Syndrome Type 2

description: <strong>BACKGROUND</strong> Patients with long QT syndrome (LQTS) are predisposed to life-threatening arrhythmias. A delay in cardiac repolarization is characteristic of the disease. Pharmacotherapy, implantable cardioverter-defibrillators, and left cardiac sympathetic denervation are part of the current treatment options, but no targeted therapy for LQTS exists to date. Previous studies indicate that induced autoimmunity against the voltage-gated KCNQ1 K. channels accelerates cardiac repolarization. <strong>OBJECTIVES </strong>However, a causative relationship between KCNQ1 antibodies and the observed electrophysiological effects has never been demonstrated, and thus presents the aim of this study. <strong>METHODS</strong> The authors purified KCNQ1 antibodies and performed whole-cell patch clamp experiments as well as singlechannel recordings on Chinese hamster ovary cells overexpressing IKs channels. The effect of purified KCNQ1 antibodies on human cardiomyocytes derived from induced pluripotent stem cells was then studied. <strong>RESULTS</strong> The study demonstrated that KCNQ1 antibodies underlie the previously observed increase in repolarizing IKs current. The antibodies shift the voltage dependence of activation and slow the deactivation of IKs. At the single-channel level, KCNQ1 antibodies increase the open time and probability of the channel. In models of LQTS type 2 (LQTS2) using human induced pluripotent stem cell-derived cardiomyocytes, KCNQ1 antibodies reverse the prolonged cardiac repolarization and abolish arrhythmic activities. <strong>CONCLUSIONS</strong> Here, the authors provide the first direct evidence that KCNQ1 antibodies act as agonists on IKs channels. Moreover, KCNQ1 antibodies were able to restore alterations in cardiac repolarization and most importantly to suppress arrhythmias in LQTS2. KCNQ1 antibody therapy may thus present a novel promising therapeutic approach for LQTS2.
description: Additional funding acknowledgment: Fondation Gustave et Simone Prévot
DOI: 10.17632/c4gphnbtts.3
title: Data for: Synthesis of earthworm trace metal uptake and bioaccumulation data: role of soil concentration, earthworm ecophysiology, and experimental design

description: Earthworm trace metal concentration, soil concentration, and bioaccumulation factors for 56 studies. Experimental conditions, treatments, and soil data provided as possible.
DOI: 10.21227/5h6b-vs62
title: EEG Data for Patients Receiving Intravenous Antibiotic Medication

description: In this dataset, we conduct a biological data collectionand analysis study for patients undergoing routine plannedtreatment. The acquired data (i.e., Electroencephalogram (EEG)and routine observational data such as temperature and bloodpressure) are processed using different machine learning anddeep learning models to learn the dynamic properties of brainelectrical activity from different patients. Thus, the primaryobjective of our study is the safe collection of EEG data frompatients receiving antibiotic therapy, in addition to analyzingthe acquired data for detecting the medication side effects, i.e.,that might indicate risk of seizure. Indeed, we propose twomachine learning models to analyze the acquired data fromdiverse patients: before, during, and after taking the medications.