cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.17060447
title: Supplementary Material for: Does Early Cerebral Near-Infrared Spectroscopy Monitoring Predict Outcome in Neonates with Hypoxic Ischaemic Encephalopathy? A Systematic Review of Diagnostic Test Accuracy

description: <b><i>Introduction:</i></b> Hypoxic ischaemic encephalopathy (HIE) remains one of the top 10 contributors to the global burden of disease. Early objective biomarkers are required. Near-infrared spectroscopy (NIRS) may provide a valuable insight into cerebral perfusion and metabolism. We aimed to determine whether early NIRS monitoring (&lt;6 h of age) can predict outcome as defined by grade of encephalopathy, brain MRI findings, and/or neurodevelopmental outcome at 1–2 years in infants with HIE. <b><i>Methods:</i></b> We searched PubMed, Scopus, Web of Science, Embase, and The Cochrane Library databases (July 2019). Studies of infants born ≥36<sup>+0</sup> weeks gestation with HIE who had NIRS recording commenced before 6 h of life were included. We planned to provide a narrative of all the studies included, and if similar clinically and methodologically, the results would be pooled in a meta-analysis to determine test accuracy. <b><i>Results:</i></b> Seven studies were included with a combined total of 161 infants. Only 1 study included infants with mild HIE. A range of different oximeters and probes were utilized with varying outcome measures making comparison difficult. Although some studies showed a trend towards higher cSO<sub>2</sub> values before 6 h in infants with adverse neurodevelopmental outcomes, in the majority, this was not significant until beyond 24 h of life. <b><i>Conclusion:</i></b> Very little data currently exists to assess the use of early NIRS to predict outcome in infants with HIE. Further studies using a standardized approach are required before NIRS can be evaluated as a potential objective assessment tool for early identification of at-risk infants.
DOI: 10.5519/qd.tn3cffq9
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (100 records)
DOI: 10.25345/c5jc55
title: MassIVE MSV000088427 - Spatial Venomics - Cobra Venom System Reveals Spatial Distinction of Snake Toxins by Mass Spectrometry Imaging
title: Despite extensive research, there is still limited knowledge of the functional biology of most animal toxins, including their venom production and storage, as well as the morphological structures within sophisticated venom producing tissues that might underpin venom modulation. Here we applied non-targeted mass spectrometry imaging (MSI), in combination with standard proteomic and transcriptomic approaches, to enable discrete toxin mapping in high-resolution intensity maps across a snake venom gland sourced from the Egyptian cobra (Naja haje). Matrix-assisted laser desorption/ionization (MALDI) MSI toxin visualization on the elapid venom gland reveals surprising spatial heterogeneity of different toxin classes at the proteoform level, which may be the result of physiological constraints on venom production and/or storage, or reflect the potential for venom modulation under different stimuli.
DOI: 10.3886/e155024v1
title: Parent and teacher support of elementary students’ remote learning during the COVID-19 Pandemic in Germany: Data Acccess and Analyses Files

description: These files contain the data access file, analysis files and instructions used to create the tables and figures found in Parent and Teacher Support of Elementary Student’s Remote Learning during the COVID-19 Pandemic in Germany.<br>Abstract from the related paper (Gunzenhauser et al., 2021):<br><br> The aim of the present study was to investigate the associations between parental and teacher support and elementary students’ academic skills during the COVID-19 pandemic. Building on data of an ongoing longitudinal study, we studied the roles of children’s (N = 63) academic skills before the first COVID-19 lockdown in Germany (March-June 2020) as predictors of individual differences in parental schoolwork support during the lockdown, and the contributions of parental and teacher support to students’ reading and mathematics skills after the lockdown. Findings indicated that children’s reading and mathematics skills before the lockdown predicted parental help, and reading skills predicted parental need-oriented support with schoolwork during the lockdown. Children who received more need-oriented support from parents showed a more favorable development of arithmetic skills across the lockdown. Indicators of teacher support did not explain individual differences in students’ academic skills after the lockdown period.<br>Gunzenhauser, C., Enke, S., Johann, V., Karbach, J., & Saalbach, H. (2021). Parent and teacher support of elementary students’ remote learning during the COVID-19 Pandemic in Germany. AERA Open. <br>
description: elementary students<br>.
DOI: 10.5519/qd.dxc7schy
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1266 records)
DOI: 10.5519/qd.i7876art
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (21 records)
DOI: 10.5281/zenodo.5717635
title: Dataset for "Diurnal variations of cloud optical properties during day-time over China based on Himawari-8 satellite retrievals"

description: Dataset for "Diurnal variations of cloud optical properties during day-time over China based on Himawari-8 satellite retrievals".
DOI: 10.5519/qd.yoydho3d
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (4 records)
DOI: 10.5519/qd.iomqajfw
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (46 records)
DOI: 10.5281/zenodo.5718237
title: Dataset for "Diurnal variations of cloud optical properties during day-time over China based on Himawari-8 satellite retrievals"

description: Dataset for "Diurnal variations of cloud optical properties during day-time over China based on Himawari-8 satellite retrievals".
DOI: 10.5281/zenodo.5717634
title: Dataset for "Diurnal variations of cloud optical properties during day-time over China based on Himawari-8 satellite retrievals"

description: Dataset for "Diurnal variations of cloud optical properties during day-time over China based on Himawari-8 satellite retrievals".
DOI: 10.5519/qd.z95eaxid
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.6084/m9.figshare.15144870.v1
title: Pre-trained feature aggregated deep learning-based monitoring of overshooting tops using multi-spectral channels of GeoKompsat-2A advanced meteorological imagery

description: Overshooting tops (OTs) play a crucial role in carrying tropospheric water vapor to the lower stratosphere. They are closely related to climate change as well as local severe weather conditions, such as lightning, hail, and air turbulence, which implies the importance of their detection and monitoring. While many studies have proposed threshold-based detection models using the spatial characteristics of OTs, they have shown varied performance depending on the seasonality and study areas. In this study, we propose a pre-trained feature-aggregated convolutional neural network approach for OT detection and monitoring. The proposed approach was evaluated using multi-channel data from Geo-Kompsat-2A Advanced Meteorological Imager (GK2A AMI) over East Asia. The fusion of a visible channel and multi-infrared channels enabled the proposed model to consider both physical and spatial characteristics of OTs. Six schemes were evaluated according to two types of data pre-processing methods and three types of deep learning model architectures. The best-performed scheme yielded a probability of detection (POD) of 92.1%, a false alarm ratio (FAR) of 21.5%, and a critical success index (CSI) of 0.7. The results were significantly improved when compared to those of the existing CNN-based OT detection model (POD increase by 4.8% and FAR decrease by 29.4%).
DOI: 10.6084/m9.figshare.15144870
title: Pre-trained feature aggregated deep learning-based monitoring of overshooting tops using multi-spectral channels of GeoKompsat-2A advanced meteorological imagery

description: Overshooting tops (OTs) play a crucial role in carrying tropospheric water vapor to the lower stratosphere. They are closely related to climate change as well as local severe weather conditions, such as lightning, hail, and air turbulence, which implies the importance of their detection and monitoring. While many studies have proposed threshold-based detection models using the spatial characteristics of OTs, they have shown varied performance depending on the seasonality and study areas. In this study, we propose a pre-trained feature-aggregated convolutional neural network approach for OT detection and monitoring. The proposed approach was evaluated using multi-channel data from Geo-Kompsat-2A Advanced Meteorological Imager (GK2A AMI) over East Asia. The fusion of a visible channel and multi-infrared channels enabled the proposed model to consider both physical and spatial characteristics of OTs. Six schemes were evaluated according to two types of data pre-processing methods and three types of deep learning model architectures. The best-performed scheme yielded a probability of detection (POD) of 92.1%, a false alarm ratio (FAR) of 21.5%, and a critical success index (CSI) of 0.7. The results were significantly improved when compared to those of the existing CNN-based OT detection model (POD increase by 4.8% and FAR decrease by 29.4%).
DOI: 10.5281/zenodo.5718219
title: Chamaetylas choloensis SPAdes preassembly

description: .
DOI: 10.5281/zenodo.5718218
title: Chamaetylas choloensis SPAdes preassembly

description: .
DOI: 10.14278/rodare.1266
title: Data publication: Uptake of niobium by cement systems relevant for nuclear waste disposal: impact of ISA and chloride

description: Daten zur Bestrahlung und Gammaspektroskopiemessung des Targets
DOI: 10.14278/rodare.1265
title: Data publication: Uptake of niobium by cement systems relevant for nuclear waste disposal: impact of ISA and chloride

description: Daten zur Bestrahlung und Gammaspektroskopiemessung des Targets
DOI: 10.17028/rd.lboro.17060618
title: Supplementary information files for Graphene’s non-equilibrium fermions reveal Doppler-shifted magnetophonon resonances accompanied by Mach supersonic and Landau velocity effects

description: Supplementary files for article Graphene’s non-equilibrium fermions reveal Doppler-shifted magnetophonon resonances accompanied by Mach supersonic and Landau velocity effects.<br>Oscillatory magnetoresistance measurements on graphene have revealed a wealth of novel physics. These phenomena are typically studied at low currents. At high currents, electrons are driven far from equilibrium with the atomic lattice vibrations so that their kinetic energy can exceed the thermal energy of the phonons. Here, we report three non-equilibrium phenomena in monolayer graphene at high currents: (i) a “Doppler-like” shift and splitting of the frequencies of the transverse acoustic (TA) phonons emitted when the electrons undergo inter-Landau level (LL) transitions; (ii) an intra-LL Mach effect with the emission of TA phonons when the electrons approach supersonic speed, and (iii) the onset of elastic inter-LL transitions at a critical carrier drift velocity, analogous to the superfluid Landau velocity. All three quantum phenomena can be unified in a single resonance equation. They offer avenues for research on out-of-equilibrium phenomena in other two-dimensional fermion systems.<br>
DOI: 10.17028/rd.lboro.17060618.v1
title: Supplementary information files for Graphene’s non-equilibrium fermions reveal Doppler-shifted magnetophonon resonances accompanied by Mach supersonic and Landau velocity effects

description: Supplementary files for article Graphene’s non-equilibrium fermions reveal Doppler-shifted magnetophonon resonances accompanied by Mach supersonic and Landau velocity effects.<br>Oscillatory magnetoresistance measurements on graphene have revealed a wealth of novel physics. These phenomena are typically studied at low currents. At high currents, electrons are driven far from equilibrium with the atomic lattice vibrations so that their kinetic energy can exceed the thermal energy of the phonons. Here, we report three non-equilibrium phenomena in monolayer graphene at high currents: (i) a “Doppler-like” shift and splitting of the frequencies of the transverse acoustic (TA) phonons emitted when the electrons undergo inter-Landau level (LL) transitions; (ii) an intra-LL Mach effect with the emission of TA phonons when the electrons approach supersonic speed, and (iii) the onset of elastic inter-LL transitions at a critical carrier drift velocity, analogous to the superfluid Landau velocity. All three quantum phenomena can be unified in a single resonance equation. They offer avenues for research on out-of-equilibrium phenomena in other two-dimensional fermion systems.<br>
DOI: 10.5281/zenodo.5718253
title: Marcusenius schilthuisiae SPAdes preassembly

description: .
DOI: 10.5281/zenodo.5718252
title: Marcusenius schilthuisiae SPAdes preassembly

description: .
DOI: 10.14278/rodare.1264
title: Zr-PAPER

description: Rohdaten Zr-PAPER
DOI: 10.14278/rodare.1263
title: Zr-PAPER

description: Rohdaten Zr-PAPER
DOI: 10.14278/rodare.1268
title: Data publication: Development of fluorinated and methoxylated benzothiazole derivatives as highly potent and selective cannabinoid CB2 receptor ligands

description: Numerous studies have indicated the upregulation of the cannabinoid type 2 receptors (CB2 receptors) in neuroinflammation and cancer, and that their visualization with PET (Positron emission tomography) could provide a valuable diagnostic and/or therapy-monitoring tool in such disorders. However, the availability of reliable CB2-selective imaging probes is still lacking in clinical practice. Encouraged by promising CB2 affinity results obtained for a benzothiazole lead compound, 6a, further structural optimizations led to the development of a series of fluorinated and methoxylated benzothiazole derivatives, endowed with extremely high CB2 binding affinity and an exclusive selectivity to the CB2 receptor, along with structural sites suitable for radiolabeling. Compounds 20, 21, 24, 25, 29, 32 and 33 displayed subnanomolar CB2 Ki values (ranging from 0.16 nM to 0.68 nM) while lacked affinity to the CB1 receptor subtype. The fluorinated analogs, 21 and 29, were evaluated for their in vitro metabolic stability in mouse and human liver microsomes (MLM and HLM). Both 21 and 29 displayed an exceptionally high stability (98% and 91% intact compounds, respectively) after 60 min incubation with MLM. Contrastingly, compound 29 revealed an almost 2-fold greater metabolic stability after incubation with HLM for 60 min. Taken together, our data represent remarkably potent and selective CB2 ligands as credible leads that can be further exploited for 18F- or 11C-radiolabeling and utilization as PET tracers.
DOI: 10.14278/rodare.1267
title: Data publication: Development of fluorinated and methoxylated benzothiazole derivatives as highly potent and selective cannabinoid CB2 receptor ligands

description: Numerous studies have indicated the upregulation of the cannabinoid type 2 receptors (CB2 receptors) in neuroinflammation and cancer, and that their visualization with PET (Positron emission tomography) could provide a valuable diagnostic and/or therapy-monitoring tool in such disorders. However, the availability of reliable CB2-selective imaging probes is still lacking in clinical practice. Encouraged by promising CB2 affinity results obtained for a benzothiazole lead compound, 6a, further structural optimizations led to the development of a series of fluorinated and methoxylated benzothiazole derivatives, endowed with extremely high CB2 binding affinity and an exclusive selectivity to the CB2 receptor, along with structural sites suitable for radiolabeling. Compounds 20, 21, 24, 25, 29, 32 and 33 displayed subnanomolar CB2 Ki values (ranging from 0.16 nM to 0.68 nM) while lacked affinity to the CB1 receptor subtype. The fluorinated analogs, 21 and 29, were evaluated for their in vitro metabolic stability in mouse and human liver microsomes (MLM and HLM). Both 21 and 29 displayed an exceptionally high stability (98% and 91% intact compounds, respectively) after 60 min incubation with MLM. Contrastingly, compound 29 revealed an almost 2-fold greater metabolic stability after incubation with HLM for 60 min. Taken together, our data represent remarkably potent and selective CB2 ligands as credible leads that can be further exploited for 18F- or 11C-radiolabeling and utilization as PET tracers.
DOI: 10.14278/rodare.886
title: DFT/DFT-MD IPD Publication Data

description: Average atom (AA) models allow one to efficiently compute electronic and optical properties of materials over a wide range of conditions and are often employed to interpret experimental data. However, at high pressure, predictions from AA models have been shown to disagree with results from ab initio computer simulations. We represent a new innovative AA model, AvIon, that computes the electronic eigenstates with novel boundary conditions within the ion sphere. Bound and free states are derived consistently. We drop the common AA assumption that the free-particle spectrum starts at the potential threshold, which we found to be incompatible with ab initio calculations. We perform ab initio simulations of crystalline and liquid carbon and aluminum over a wide range of densities and show that the computed band structure is in very good agreement with predictions from AvIon.
description: This data-set contains all the data that has been contributed from my part to the referenced publication.
DOI: 10.14278/rodare.885
title: DFT/DFT-MD IPD Publication Data

description: Average atom (AA) models allow one to efficiently compute electronic and optical properties of materials over a wide range of conditions and are often employed to interpret experimental data. However, at high pressure, predictions from AA models have been shown to disagree with results from ab initio computer simulations. We represent a new innovative AA model, AvIon, that computes the electronic eigenstates with novel boundary conditions within the ion sphere. Bound and free states are derived consistently. We drop the common AA assumption that the free-particle spectrum starts at the potential threshold, which we found to be incompatible with ab initio calculations. We perform ab initio simulations of crystalline and liquid carbon and aluminum over a wide range of densities and show that the computed band structure is in very good agreement with predictions from AvIon.
description: This data-set contains all the data that has been contributed from my part to the referenced publication.
DOI: 10.25646/9297
title: Tagesdaten-CSV aus dem DIVI-Intensivregister

description: Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq
DOI: 10.5519/qd.ufle72r0
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (12 records)
DOI: 10.34740/kaggle/dsv/2839606
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.5281/zenodo.5517363
title: Carbon Budget Scenarios for Ireland's Energy System, 2021-50

description: Carbon Budget Scenarios for Ireland's Energy System, 2021-50, calculated with the TIMES-Ireland model.
description: This work was supported by the following research projects: CAPACITY funded by the Department of Environment, Climate and Communications, CHIMERA funded by Science Foundation Ireland (SFI) and the National Natural Science Foundation of China (NSFC) under the SFI-NSFC Partnership Programme Grant Number 17/NSFC/5181, and the SFI Research Centre for Energy, Climate, and Marine [Grant No: 12/RC/2302_P2].
DOI: 10.5281/zenodo.5517362
title: Carbon Budget Scenarios for Ireland's Energy System, 2021-50

description: Carbon Budget Scenarios for Ireland's Energy System, 2021-50, calculated with the TIMES-Ireland model.
description: This work was supported by the following research projects: CAPACITY funded by the Department of Environment, Climate and Communications, CHIMERA funded by Science Foundation Ireland (SFI) and the National Natural Science Foundation of China (NSFC) under the SFI-NSFC Partnership Programme Grant Number 17/NSFC/5181, and the SFI Research Centre for Energy, Climate, and Marine [Grant No: 12/RC/2302_P2].
DOI: 10.5281/zenodo.5718261
title: Poesi.as dataset

description: Collection of poems, mostly Spanish, from the 21th century and before Some stats: Number of poems: 25.187 Number of words: 7.918.679 Two jsons are provided: <strong><code>poesias_corpora.json</code></strong>: This is the json used to generate the txt files. <strong><code>poesias_corpora_old_spanish.json</code></strong>: This json is still a work in progress. It has old Spanish poems made mostly by Alfonso X and they are not included in the corpora folder. An additional CSV file, <code>authors.csv</code>, provides reconciled information for authors of the 20th Century and below. Identifiers (VIAF, BnF, BNE, LoC, ISNI), dates of birth and death, and gender, are also added as they appear in Wikidata. This repo is a dump of the website www.poesi.as, we do not own the rights of any of the works pulished here. For any violations or infringement of copyright, take proper action within the scope of the original website. Public Domain The script <code>extract.py</code> generates a public domain corpus in JSON extracted from the corpus in poesi.as. The number of years since the death of an author needed for a work to be considered in the public domain can be specified using <code>-y YEARS</code> (<code>--years YEARS</code>). Defaults to 80 as per Spanish copyright laws. <code>` $ python extract.py &gt; public_domain.json</code>
DOI: 10.5281/zenodo.5718260
title: Poesi.as dataset

description: Collection of poems, mostly Spanish, from the 21th century and before Some stats: Number of poems: 25.187 Number of words: 7.918.679 Two jsons are provided: <strong><code>poesias_corpora.json</code></strong>: This is the json used to generate the txt files. <strong><code>poesias_corpora_old_spanish.json</code></strong>: This json is still a work in progress. It has old Spanish poems made mostly by Alfonso X and they are not included in the corpora folder. An additional CSV file, <code>authors.csv</code>, provides reconciled information for authors of the 20th Century and below. Identifiers (VIAF, BnF, BNE, LoC, ISNI), dates of birth and death, and gender, are also added as they appear in Wikidata. This repo is a dump of the website www.poesi.as, we do not own the rights of any of the works pulished here. For any violations or infringement of copyright, take proper action within the scope of the original website. Public Domain The script <code>extract.py</code> generates a public domain corpus in JSON extracted from the corpus in poesi.as. The number of years since the death of an author needed for a work to be considered in the public domain can be specified using <code>-y YEARS</code> (<code>--years YEARS</code>). Defaults to 80 as per Spanish copyright laws. <code>` $ python extract.py &gt; public_domain.json</code>