cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21591546
title: Critical Role of Hydrogen for Superconductivity in Infinite-layer Nickelates

description: The newly discovered nickelate superconductors so far only exist in epitaxial thin films synthesized via topotactic reaction with metal hydrides<sup>1</sup>. This method changes the nickelates from the perovskite to the infinite-layer structure by deintercalation of apical oxygens<sup>1-3</sup>. Such chemical reaction may introduce hydrogen (H) influencing the physical properties of the end materials<sup>4-9</sup>. Unfortunately, H is insensitive to most of the characterization techniques and is difficult to detect due to its light weight. Here, in the optimally doped Nd<sub>0.8</sub>Sr<sub>0.2</sub>NiO<sub>2</sub>H epitaxial film, secondary-ion mass spectroscopy reveals abundant H existing in the form of Nd<sub>0.8</sub>Sr<sub>0.2</sub>NiO<sub>2</sub>H<sub><em>x</em></sub> (<em>x</em> = 0.2 ~ 0.5). Remarkably, zero resistivity is found within a very narrow H doping window of 0.22 ≤ x ≤ 0.28 showing unequivocally the critical role of H in superconductivity. Resonant inelastic X-ray scattering demonstrates the existence of itinerant interstitial <em>s</em> (IIS) orbital originating from apical oxygen deintercalation. Density function theory calculations show that electronegative H<sup>–</sup> occupies the apical oxygen sites annihilating IIS orbitals, reducing the IIS – Ni 3<em>d</em> orbital hybridization. This leads the electronic structure of H-doped Nd<sub>0.8</sub>Sr<sub>0.2</sub>NiO<sub>2</sub>H<sub><em>x</em></sub> to be more two-dimensional-like, which might be relevant for the observed superconductivity. We highlight that H is an important ingredient for the superconductivity in epitaxial infinite-layer nickelates.
DOI: 10.6084/m9.figshare.21591546.v2
title: Critical Role of Hydrogen

description: The newly discovered nickelate superconductors so far only exist in epitaxial thin films synthesized via topotactic reaction with metal hydrides<sup>1</sup>. This method changes the nickelates from the perovskite to the infinite-layer structure by deintercalation of apical oxygens<sup>1-3</sup>. Such chemical reaction may introduce hydrogen (H) influencing the physical properties of the end materials<sup>4-9</sup>. Unfortunately, H is insensitive to most of the characterization techniques and is difficult to detect due to its light weight. Here, in the optimally doped Nd<sub>0.8</sub>Sr<sub>0.2</sub>NiO<sub>2</sub>H epitaxial film, secondary-ion mass spectroscopy reveals abundant H existing in the form of Nd<sub>0.8</sub>Sr<sub>0.2</sub>NiO<sub>2</sub>H<sub><em>x</em></sub> (<em>x</em> = 0.2 ~ 0.5). Remarkably, zero resistivity is found within a very narrow H doping window of 0.22 ≤ x ≤ 0.28 showing unequivocally the critical role of H in superconductivity. Resonant inelastic X-ray scattering demonstrates the existence of itinerant interstitial <em>s</em> (IIS) orbital originating from apical oxygen deintercalation. Density function theory calculations show that electronegative H<sup>–</sup> occupies the apical oxygen sites annihilating IIS orbitals, reducing the IIS – Ni 3<em>d</em> orbital hybridization. This leads the electronic structure of H-doped Nd<sub>0.8</sub>Sr<sub>0.2</sub>NiO<sub>2</sub>H<sub><em>x</em></sub> to be more two-dimensional-like, which might be relevant for the observed superconductivity. We highlight that H is an important ingredient for the superconductivity in epitaxial infinite-layer nickelates.
DOI: 10.6084/m9.figshare.21592547
title: Additional file 1 of Prognostic markers for the clinical course in the blood of patients with SARS-CoV-2 infection

description: Additional file 1: Table S1. Tests for deviation and tests for association from Hardy Weinberg equilibration.
DOI: 10.6084/m9.figshare.21592547.v1
title: Additional file 1 of Prognostic markers for the clinical course in the blood of patients with SARS-CoV-2 infection

description: Additional file 1: Table S1. Tests for deviation and tests for association from Hardy Weinberg equilibration.
DOI: 10.25934/pr00008595
title: Global Research on Antimicrobial Resistance (GRAM) - Phase 2

description: The second phase of the GRAM project will build on the foundation of the first phase of the project, to standardise the measurement and deepen our understanding of the burden
caused by drug resistant infections (DRI) and of its longitudinal dynamics, variations across geographic distribution, and clinical impact. Having quality data and globally agreed
estimates of AMR burden is a critical first step to changing the global approach to their prevention and management. To amplify the impact of the results, increase sustainable
creation of them, and to enable valuable comparisons with other causes of disease burden, we aim to more seamlessly align and integrate this work into the over-arching GBD
enterprise. In addition, we will leverage the foundation built during GRAM-1 and strengthen our links with partners to address critically important research and policy questions.
Lastly, tailored capacity building in priority LMICs with particular emphasis on longitudinal AMR data collection and analysis will be essential.
DOI: 10.6084/m9.figshare.21592685
title: Additional file 1 of Initial empirical antibiotics of non-carbapenems for ESBL-producing E. coli and K. pneumoniae bacteremia in children: a retrospective medical record review

description: Additional file 1. Patients data adminitrated with non-carbapenem as empirical treatment.
DOI: 10.6084/m9.figshare.21592685.v1
title: Additional file 1 of Initial empirical antibiotics of non-carbapenems for ESBL-producing E. coli and K. pneumoniae bacteremia in children: a retrospective medical record review

description: Additional file 1. Patients data adminitrated with non-carbapenem as empirical treatment.
DOI: 10.6084/m9.figshare.21592705
title: Additional file 2 of The use of routine health facility data for micro-stratification of malaria risk in mainland Tanzania

description: Additional file 2: Table S3. Shows the proportion of heterogeneity per council.
DOI: 10.6084/m9.figshare.21592705.v1
title: Additional file 2 of The use of routine health facility data for micro-stratification of malaria risk in mainland Tanzania

description: Additional file 2: Table S3. Shows the proportion of heterogeneity per council.
DOI: 10.6084/m9.figshare.21592709
title: Additional file 1 of Transversus abdominis plane block with different bupivacaine concentrations in children undergoing unilateral inguinal hernia repair: a single-blind randomized clinical trial

description: Additional file 1.
DOI: 10.6084/m9.figshare.21592709.v1
title: Additional file 1 of Transversus abdominis plane block with different bupivacaine concentrations in children undergoing unilateral inguinal hernia repair: a single-blind randomized clinical trial

description: Additional file 1.
DOI: 10.6084/m9.figshare.21592724
title: Additional file 1 of Comprehensive analysis of TCGA data reveals correlation between DNA methylation and alternative splicing

description: Additional file 1. Multi-cancer CpG-exon correlations. This file contains 36,470 CpG-exon correlations across all the cancer types, for CpG-exon pairs that show significant correlations in more than one cancer type.
DOI: 10.6084/m9.figshare.21592724.v1
title: Additional file 1 of Comprehensive analysis of TCGA data reveals correlation between DNA methylation and alternative splicing

description: Additional file 1. Multi-cancer CpG-exon correlations. This file contains 36,470 CpG-exon correlations across all the cancer types, for CpG-exon pairs that show significant correlations in more than one cancer type.
DOI: 10.6084/m9.figshare.21592736
title: Additional file 2 of Investigation of reversible histone acetylation and dynamics in gene expression regulation using 3D liver spheroid model

description: Additional file 2. Protein Coding Time-course analysis
DOI: 10.6084/m9.figshare.21592736.v1
title: Additional file 2 of Investigation of reversible histone acetylation and dynamics in gene expression regulation using 3D liver spheroid model

description: Additional file 2. Protein Coding Time-course analysis
DOI: 10.6084/m9.figshare.21592739
title: Additional file 3 of Investigation of reversible histone acetylation and dynamics in gene expression regulation using 3D liver spheroid model

description: Additional file 3: Table S1. Full metabolite profiling of the cell culture supernatant
DOI: 10.6084/m9.figshare.21592739.v1
title: Additional file 3 of Investigation of reversible histone acetylation and dynamics in gene expression regulation using 3D liver spheroid model

description: Additional file 3: Table S1. Full metabolite profiling of the cell culture supernatant
DOI: 10.6084/m9.figshare.21592742
title: Additional file 4 of Investigation of reversible histone acetylation and dynamics in gene expression regulation using 3D liver spheroid model

description: Additional file 4: Table S2. Gene expression clustering
DOI: 10.6084/m9.figshare.21592742.v1
title: Additional file 4 of Investigation of reversible histone acetylation and dynamics in gene expression regulation using 3D liver spheroid model

description: Additional file 4: Table S2. Gene expression clustering
DOI: 10.6084/m9.figshare.21592745
title: Additional file 5 of Investigation of reversible histone acetylation and dynamics in gene expression regulation using 3D liver spheroid model

description: Additional file 5: Table 3. Proteome of HepG2/C3A spheroids and flat cells
DOI: 10.6084/m9.figshare.21592745.v1
title: Additional file 5 of Investigation of reversible histone acetylation and dynamics in gene expression regulation using 3D liver spheroid model

description: Additional file 5: Table 3. Proteome of HepG2/C3A spheroids and flat cells
DOI: 10.6084/m9.figshare.21592784
title: Additional file 1 of Implementation of ensemble machine learning algorithms on exome datasets for predicting early diagnosis of cancers

description: Additional file 1. The proposed ensemble learning model carried out on the synthetic dataset generated by the CTGAN method.
DOI: 10.6084/m9.figshare.21592784.v1
title: Additional file 1 of Implementation of ensemble machine learning algorithms on exome datasets for predicting early diagnosis of cancers

description: Additional file 1. The proposed ensemble learning model carried out on the synthetic dataset generated by the CTGAN method.
DOI: 10.6084/m9.figshare.21592787
title: Additional file 2 of Implementation of ensemble machine learning algorithms on exome datasets for predicting early diagnosis of cancers

description: Additional file 2. The synthetic dataset generated through TVAE method.
DOI: 10.6084/m9.figshare.21592787.v1
title: Additional file 2 of Implementation of ensemble machine learning algorithms on exome datasets for predicting early diagnosis of cancers

description: Additional file 2. The synthetic dataset generated through TVAE method.
DOI: 10.5281/zenodo.7301728
title: Supplementary Material to the PhD Thesis of Luz, Zoneibe (University of Lausanne): Characterizing conodont bioapatite from the Early-Triassic: an analytical and palaeoclimatological approach

description: The present dataset contains the Supplements cited in the PhD Thesis of Zoneibe Augusto Silva Luz (University of Lausanne), entitled '<em>Characterizing conodont bioapatite from the Early-Triassic: an analytical and palaeoclimatological approach</em>', defended the 29th of June in Lausanne. Three table of contents (TOC) are provided for each of the three thesis chapters. The main thesis is deposited at the Bibliothèque cantonale et universitaire de Lausanne, Section des thèses imprimées et des échanges,and digitally at the SERveur Académique Lausannois (Serval) (). Le présent set de données contient les Suppléments cités dans la thèse de doctorat de Zoneibe Augusto Silva Luz (Université de Lausanne), intitulée 'Characterizing conodont bioapatite from the Early-Triassic : an analytical and palaeoclimatological approach', soutenue le 29 juin à Lausanne. Trois tables des matières (TOC) sont fournies pour chacun des trois chapitres de la thèse. La thèse principale est déposée dans la Bibliothèque cantonale et universitaire de Lausanne, Section des thèses imprimées et des échanges, et électroniquement dans le SERveur Académique Lausannois (Serval) ().
DOI: 10.5281/zenodo.7301727
title: Supplementary Material to the PhD Thesis of Luz, Zoneibe (University of Lausanne): Characterizing conodont bioapatite from the Early-Triassic: an analytical and palaeoclimatological approach

description: The present dataset contains the Supplements cited in the PhD Thesis of Zoneibe Augusto Silva Luz (University of Lausanne), entitled '<em>Characterizing conodont bioapatite from the Early-Triassic: an analytical and palaeoclimatological approach</em>', defended the 29th of June in Lausanne. Three table of contents (TOC) are provided for each of the three thesis chapters. The main thesis is deposited at the Bibliothèque cantonale et universitaire de Lausanne, Section des thèses imprimées et des échanges,and digitally at the SERveur Académique Lausannois (Serval) (). Le présent set de données contient les Suppléments cités dans la thèse de doctorat de Zoneibe Augusto Silva Luz (Université de Lausanne), intitulée 'Characterizing conodont bioapatite from the Early-Triassic : an analytical and palaeoclimatological approach', soutenue le 29 juin à Lausanne. Trois tables des matières (TOC) sont fournies pour chacun des trois chapitres de la thèse. La thèse principale est déposée dans la Bibliothèque cantonale et universitaire de Lausanne, Section des thèses imprimées et des échanges, et électroniquement dans le SERveur Académique Lausannois (Serval) ().
DOI: 10.15139/s3/bwfnps
title: Safe Streets and Roads for All Safety Action Plan (2022). Indianapolis MPO, Indiana

description: Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.
DOI: 10.15139/s3/yjakkw
title: Burlington-Graham Metropolitan Planning Organization: Transportation Safety Plan (2022). Burlington-Graham MPO, North Carolina

description: Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.
DOI: 10.5281/zenodo.7270294
title: Laboratory toxicity incubation experiments on phytoplankton using trace metals (Cu, Cd, Zn)

description: This data compilation contains previously published toxicity threshold concentrations of copper, cadmium and zinc for different phytoplankton, as determined by incubation experiments. The data was recalculated to nmol/L for consistency, assuming the following molar masses of copper, cadmium and zinc as 63.546, 112.411 and 65.380 g/mol, respectively, and salinity as 1.025 kg/L. The growth medium is included in the dataset, as well as the environment where the phytoplankton in question may commonly occur (open or coastal ocean).
description: {"references": ["Chiellini, C., Guglielminetti, L., Pistelli, L. & Ciurli, A. 2020. Screening of trace metal elements for pollution tolerance of freshwater and marine microalgal strains: Overview and perspectives. Algal Research. 45:101751.", "El-din, S.M.M. & Abdel-Kareem, M.S. 2020. Effects of Copper and Cadmium on the Protein Profile and DNA Pattern of Marine Microalgae Chlorella salina and Nannochloropsis salina. Environmental Processes. 7:189\u2013205.", "Hindarti, D., Wardani, W.K. & Hadisusanto, S. 2018. Cadmium (Cd) & copper (Cu) toxicity on growth of Nannochloris sp. AIP Conference Proceedings. 2024:020069", "Jensen, A. & Rystad, B. 1974. Heavy Metal Tolerance of Marine Phytoplankton. I. The Tolerance of Three Algal Species to Zinc in Coastal Sea Water. Growth (Lakeland). 15:145\u2013157.", "Liu, G., Chai, X., Shao, Y., Hu, L., Xie, Q. & Wu, H. 2011. Toxicity of copper, lead, and cadmium on the motility of two marine microalgae Isochrysis galbana and Tetraselmis chui. Journal of Environmental Sciences. 23(2):330\u2013335.", "Stauber, J.L. & Florence, T.M. 1990. Mechanism of toxicity of zinc to the marine diatom Nitzschia closterium. Marine Biology. 105(3):519\u2013524.", "Suratno, Puspitasari, R., Purbonegoro, T. & Mansur, D. 2015. Copper and cadmium toxicity to marine phytoplankton, Chaetoceros gracilis and Isochrysis sp. Indonesian Journal of Chemistry. 15(2):172\u2013178."]}
DOI: 10.5281/zenodo.7270295
title: Laboratory toxicity incubation experiments on phytoplankton using trace metals (Cu, Cd, Zn)

description: This data compilation contains previously published toxicity threshold concentrations of copper, cadmium and zinc on different phytoplankton, as determined by incubation experiments. The data was recalculated to nmol/L for consistency, assuming the following molar masses of copper, cadmium and zinc as 63.546, 112.411 and 65.380 g/mol, respectively, and salinity as 1.025 kg/L. The growth medium is included in the dataset, as well as the environment where the phytoplankton in question may commonly occur (open or coastal ocean).
description: {"references": ["Chiellini, C., Guglielminetti, L., Pistelli, L. & Ciurli, A. 2020. Screening of trace metal elements for pollution tolerance of freshwater and marine microalgal strains: Overview and perspectives. Algal Research. 45:101751.", "El-din, S.M.M. & Abdel-Kareem, M.S. 2020. Effects of Copper and Cadmium on the Protein Profile and DNA Pattern of Marine Microalgae Chlorella salina and Nannochloropsis salina. Environmental Processes. 7:189\u2013205.", "Hindarti, D., Wardani, W.K. & Hadisusanto, S. 2018. Cadmium (Cd) & copper (Cu) toxicity on growth of Nannochloris sp. AIP Conference Proceedings. 2024:020069", "Jensen, A. & Rystad, B. 1974. Heavy Metal Tolerance of Marine Phytoplankton. I. The Tolerance of Three Algal Species to Zinc in Coastal Sea Water. Growth (Lakeland). 15:145\u2013157.", "Kumar, D.S., Santhanam, P., Selvaraju, A., Devi, A.S., Nandakumar, R., Prasath, B.B., Jeyanthi, S., Jayalakshmi, T., et al. 2014. Effect of different dosages of zinc on the growth and biomass in five marine microalgae. International Journal of Fisheries and Aquaculture. 6(1):1\u20138.", "Liu, G., Chai, X., Shao, Y., Hu, L., Xie, Q. & Wu, H. 2011. Toxicity of copper, lead, and cadmium on the motility of two marine microalgae Isochrysis galbana and Tetraselmis chui. Journal of Environmental Sciences. 23(2):330\u2013335.", "Stauber, J.L. & Florence, T.M. 1990. Mechanism of toxicity of zinc to the marine diatom Nitzschia closterium. Marine Biology. 105(3):519\u2013524.", "Suratno, Puspitasari, R., Purbonegoro, T. & Mansur, D. 2015. Copper and cadmium toxicity to marine phytoplankton, Chaetoceros gracilis and Isochrysis sp. Indonesian Journal of Chemistry. 15(2):172\u2013178."]}
DOI: 10.5281/zenodo.7342283
title: Laboratory toxicity incubation experiments on phytoplankton using trace metals (Cu, Cd, Zn)

description: This data compilation contains previously published toxicity threshold concentrations of copper, cadmium and zinc for different phytoplankton, as determined by incubation experiments. The data was recalculated to nmol/L for consistency, assuming the following molar masses of copper, cadmium and zinc as 63.546, 112.411 and 65.380 g/mol, respectively, and salinity as 1.025 kg/L. The growth medium is included in the dataset, as well as the environment where the phytoplankton in question may commonly occur (open or coastal ocean).
description: {"references": ["Chiellini, C., Guglielminetti, L., Pistelli, L. & Ciurli, A. 2020. Screening of trace metal elements for pollution tolerance of freshwater and marine microalgal strains: Overview and perspectives. Algal Research. 45:101751.", "El-din, S.M.M. & Abdel-Kareem, M.S. 2020. Effects of Copper and Cadmium on the Protein Profile and DNA Pattern of Marine Microalgae Chlorella salina and Nannochloropsis salina. Environmental Processes. 7:189\u2013205.", "Hindarti, D., Wardani, W.K. & Hadisusanto, S. 2018. Cadmium (Cd) & copper (Cu) toxicity on growth of Nannochloris sp. AIP Conference Proceedings. 2024:020069", "Jensen, A. & Rystad, B. 1974. Heavy Metal Tolerance of Marine Phytoplankton. I. The Tolerance of Three Algal Species to Zinc in Coastal Sea Water. Growth (Lakeland). 15:145\u2013157.", "Liu, G., Chai, X., Shao, Y., Hu, L., Xie, Q. & Wu, H. 2011. Toxicity of copper, lead, and cadmium on the motility of two marine microalgae Isochrysis galbana and Tetraselmis chui. Journal of Environmental Sciences. 23(2):330\u2013335.", "Stauber, J.L. & Florence, T.M. 1990. Mechanism of toxicity of zinc to the marine diatom Nitzschia closterium. Marine Biology. 105(3):519\u2013524.", "Suratno, Puspitasari, R., Purbonegoro, T. & Mansur, D. 2015. Copper and cadmium toxicity to marine phytoplankton, Chaetoceros gracilis and Isochrysis sp. Indonesian Journal of Chemistry. 15(2):172\u2013178."]}
DOI: 10.5281/zenodo.6802546
title: Compilation of Trace Metal (Cu, Cd) Threshold Values in Open and Coastal Oceans

description: This data compilation contains previously published (references included) threshold concentrations of copper and cadmium op phytoplankton, in open and coastal oceans. The data was recalculated to nmol/L for consistency, assuming the following molar masses of copper and cadmium as 63.546 and 112.411, respectively, and salinity as 1.025 kg/L. The temperature and salinity provided by the authors were also included, in case there is a desire for future users to utilise different conversion methods to recalculate original data. Only data with information on whether the authors measured the trace metal concentrations in open or coastal marine environments were included, along with the name of the phytoplankton. The oceans were divided into the Atlantic Ocean, Pacific Ocean and the Indian Ocean, and subsequently further subdivided according to the information authors have given in their publications.
description: {"references": ["Anu, P.R., Bijoy Nandan, S., Jayachandran, P.R. & Don Xavier, N.D. 2016. Toxicity effects of copper on the marine diatom, Chaetoceros calcitrans. Regional Studies in Marine Science. 8:498\u2013504.", "Chance, R., Jickells, T.D. & Baker, A.R. 2015. Atmospheric trace metal concentrations, solubility and deposition fluxes in remote marine air over the south-east Atlantic. Marine Chemistry. 177:45\u201356.", "Debelius, B., Forja, J.M., del Valls, \u00c1. & Lubi\u00e1n, L.M. 2010. Toxic effect of copper on marine picophytoplankton populations isolated from different geographic locations. Scientia Marina. 74(SUPPL. 1):133\u2013141.", "Echeveste, P., Agust\u00ed, S. & Tovar-S\u00e1nchez, A. 2012. Toxic thresholds of cadmium and lead to oceanic phytoplankton: Cell size and ocean basin-dependent effects. Environmental Toxicology and Chemistry. 31(8):1887\u20131894.", "Muller, F.L.L., Jacquet, S. & Wilson, W.H. 2003. Biological factors regulating the chemical speciation of Cu, Zn, and Mn under different nutrient regimes in a marine mesocosm experiment. Limnology and Oceanography. 48(6):2289\u20132302.", "Pistocchi, R., Guerrini, F., Boni, L. & Balboni, V. 1997. Copper toxicity and carbohydrate production in the microalgae cylindrotheca fusiformis and gymnodinium sp. European Journal of Phycology. 32(2):125\u2013132.", "Quan, Q., Chen, Y., Ma, Q., Wang, F., Meng, X. & Wang, B. 2016. The impact of atmospheric deposition of cadmium on dominant algal species in the East China Sea. Journal of Ocean University of China. 15(2):271\u2013282."]}