cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7624969
title: Data related to the article "Frequency-dependent impedance of nanocapacitors from electrode charge fluctuations as a probe of electrolyte dynamics"

description: Contains input files and data used to generate the figures of the article: Frequency-dependent impedance of nanocapacitors from electrode charge fluctuations as a probe of electrolyte dynamics<br> (Giovanni Pireddu and Benjamin Rotenberg) arXiv: https://arxiv.org/abs/2206.13322 The folder EXAMPLE_INPUT_FILES contains typical MetalWalls (repository) input files used to perform the simulations. The folder DATA_FIGURES contains the processed data used to plot all the figures of the paper (see below).<br> The 'd*' labels are used in the directory or file names to refer to the following interelectrode distances considered:<br> - 'd1' corresponds to 2.51 nm;<br> - 'd2' corresponds to 4.94 nm;<br> - 'd3' corresponds to 9.76 nm;<br> - 'd4' corresponds to 19.42 nm; <br> Figure 1:<br> - 'Fig1_Continuum.dat': <br> - Capacitance calculated considering a continuum approximation<br> - 'Fig1_DDS.dat':<br> - Capacitance calculated considering the DDS model (three capacitors in series)<br> - 'Fig1_MD.dat':<br> - Capacitance calculated from MD simulations. Includes the capacitance of the empty capacitor. Figure 2:<br> Panel A<br> - 'Fig2_QACFd*.dat':<br> - Time autocorrelation function of the electrode charge fluctuations<br> Panel B<br> - 'Fig2_Qrampd*.dat':<br> - Charge profile upon a step in voltage (0 to 1 V)<br> - 'Fig2_Vramp.dat':<br> - Voltage ramp related to the charging profiles<br> Panel C<br> - 'Fig2_QACFNormd*.dat':<br> - Normalized charge autocorrelation function<br> -'Fig2_QrampNormd*.dat'<br> - Normalized charge profile Figure 3:<br> - 'Fig3_MDd*.dat':<br> - Real and imaginary parts of impedance as estimated from MD simulations<br> - 'Fig3_ECd*.dat'<br> - Real and imaginary parts of impedance as calculated from the equivalent circuit models Figure 4:<br> - 'Fig4_MDd*.dat':<br> - Magnitude of admittance as estimated from MD simulations<br> - 'Fig4_Debyed*.dat':<br> - Magnitude of admittance as calculated from the Debye relaxation model<br> Inset<br> - 'Fig4_MDTau.dat':<br> - Relaxation time estimated from MD simulations<br> - 'Fig4_TauFit.dat':<br> - Fit of the relaxation time
description: {"references": ["https://arxiv.org/abs/2206.13322"]}
DOI: 10.5281/zenodo.7625238
title: dirona_albolineata_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.7625237
title: dirona_albolineata_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.25625/v3qjb5/bvf2pu
title: fds_2_zeitpunkt.tab

description: Dataset from second timepoint
DOI: 10.25625/v3qjb5/ckjyw7
title: fds_kombiniert.tab

description: Combined and matched data from both time points
DOI: 10.25625/v3qjb5/lgydy0
title: fds_1_zeitpunkt.tab

description: Dataset from first time point
DOI: 10.25625/v3qjb5
title: Data for Frustration Tolerance Study (submitted)

description: Data for Frustration Tolerance Study (submitted)
DOI: 10.25625/ngiidk/dcensx
title: protokoll_fr1_kodiert.odt

description: :unav
DOI: 10.25625/ngiidk/pmof52
title: protokoll_do1_kodiert.odt

description: :unav
DOI: 10.25625/ngiidk/oubc7h
title: protokoll_mo2_kodiert.odt

description: :unav
DOI: 10.25625/ngiidk/wnf9af
title: kodierung_uebersicht.ods

description: Kategorien mit Einordnung der Antworten und Typen, Protokolle siehe Einzeldateien
DOI: 10.25625/ngiidk/wv2xqc
title: protokoll_fr5_kodiert.odt

description: :unav
DOI: 10.25625/ngiidk/qsrvqn
title: protokoll_di3_kodiert.odt

description: :unav
DOI: 10.25625/ngiidk/dx9x6k
title: protokoll_fr2_kodiert.odt

description: :unav
DOI: 10.25625/ngiidk/jpcuqc
title: protokoll_fr4_kodiert.odt

description: :unav
DOI: 10.25625/ngiidk/1bwp7v
title: protokoll_mo3_kodiert.odt

description: :unav
DOI: 10.25625/ngiidk/mqmp8t
title: protokoll_fr3_kodiert.odt

description: :unav
DOI: 10.25625/ngiidk/o45vvk
title: protokoll_di1_kodiert.odt

description: :unav
DOI: 10.25625/ngiidk/rspuuj
title: protokoll_mo1_kodiert.odt

description: :unav
DOI: 10.25625/ngiidk/uk59up
title: protokoll_di2_kodiert.odt

description: :unav
DOI: 10.25625/ngiidk/sgestu
title: protokoll_mo4_kodiert.odt

description: :unav
DOI: 10.25625/ngiidk/oeuyvi
title: protokoll_mo5_kodiert.odt

description: :unav
DOI: 10.25625/ngiidk
title: Data for Chapter 4 - Erwartungen an ein Einführungsmodul in der Informatik

description: Data for Chapter 4 - Erwartungen an ein Einführungsmodul in der Informatik
DOI: 10.34740/kaggle/dsv/4970503
title: COVID Vaccination in World (updated daily)
DOI: 10.2908/hlth_co_bedoc
title: Taux d'occupation des lits en soins curatifs par patients hospitalisés pour au moins une nuit, par type de soin
title: Rate der Bettenbelegung zur Heilbehandlung - stationäre Patienten, nach Art der Versorgung
title: Inpatient curative care bed occupancy rate by type of care
DOI: 10.17632/fghcs38dx5.2
title: Residential cooking energy use household survey 

description: The survey was conducted in rural households to understand the fuel use pattern in rural areas of India. It has information regarding the primary and secondary fuel and stove use. It also contains the fuel use for various cooking processes.
DOI: 10.17632/fghcs38dx5.1
title: Residential cooking energy use household survey under NCAP COALESCE project.

description: The survey was conducted in rural households to understand the fuel use pattern in rural areas of India. It has information regarding the primary and secondary fuel and stove use. It also contains the fuel use for various cooking processes.
DOI: 10.17632/fghcs38dx5.3
title: Residential cooking energy use household survey 

description: The survey was conducted in rural households to understand the fuel use pattern in rural areas of India. It has information regarding the primary and secondary fuel and stove use. It also contains the fuel use for various cooking processes.
DOI: 10.6084/m9.figshare.22060181
title: Fastq_files

description: Sequencing dataset of amplicon based sequencing of covid 19
DOI: 10.5281/zenodo.1436908
title: SMA/VLA data toward five CMZ clouds and Sgr D

description: SMA/VLA data toward five CMZ clouds (20 km/s, 50 km/s, G0.253+0.016, Sgr B1-off, Sgr C) and Sgr D. Details of these images can be found in the published paper Lu et al. 2019, Astrophysical Journal, vol. 872, article id. 171 (https://ui.adsabs.harvard.edu/abs/2019ApJ...872..171L/abstract). The files are named as follows: [Target]_[Telescope]_[Lines(or continnuum)]_[Imagecontent].fits The target is one of 20kms, 50kms, G0253, SgrB1off, SgrC, and SgrD. The telescope is either SMA (for the Submillimeter Array) or the VLA (for the Karl G. Jansky Very Large Array). The lines/continuum is continuum, H2Omaser (for VLA data), or CH3OH/SiO (for SMA data). The image content is either IM (images without primary beam correction) or PB (primary beams). To apply the primary beam correction and get the flux-corrected images, divide IM by PB pixel-by-pixel (for related CASA tasks, see https://casa.nrao.edu/docs/taskref/impbcor-task.html) For example, 20kms_SMA_CH3OH_IM.fits -- the target is the 20 km/s cloud; -- the telescope is the Submillimeter Array; -- the observed line is the CH3OH 4(2,2)-3(1,2) transition; -- the file is the image without primary beam correction.
DOI: 10.5281/zenodo.1436909
title: SMA/VLA data toward five CMZ clouds and Sgr D

description: SMA/VLA data toward five CMZ clouds (20 km/s, 50 km/s, G0.253+0.016, Sgr B1-off, Sgr C) and Sgr D. Details of these images can be found in the published paper Lu et al. 2019, Astrophysical Journal, vol. 872, article id. 171 (https://ui.adsabs.harvard.edu/abs/2019ApJ...872..171L/abstract). The files are named as follows: [Target]_[Telescope]_[Lines(or continnuum)]_[Imagecontent].fits The target is one of 20kms, 50kms, G0253, SgrB1off, SgrC, and SgrD. The telescope is either SMA (for the Submillimeter Array) or the VLA (for the Karl G. Jansky Very Large Array). The lines/continuum is continuum, H2Omaser (for VLA data), or CH3OH/SiO (for SMA data). The image content is either IM (images without primary beam correction) or PB (primary beams). To apply the primary beam correction and get the flux-corrected images, divide IM by PB pixel-by-pixel (for related CASA tasks, see https://casa.nrao.edu/docs/taskref/impbcor-task.html) For example, 20kms_SMA_CH3OH_IM.fits -- the target is the 20 km/s cloud; -- the telescope is the Submillimeter Array; -- the observed line is the CH3OH 4(2,2)-3(1,2) transition; -- the file is the image without primary beam correction.
DOI: 10.17632/d4kb7zy533.1
title: 16S rRNA gene sequencing data of BAL in recurrent wheezing infants and foreign body aspiration control infants

description: Objectives: Exploring the bronchial bacterial microbiota of infants with recurrent wheezing that differ from foreign body aspiration controls, and the recurrent wheezing infants with atopy that differ from that without atopy to reveal the interactions between recurrent wheezing disease and bronchial bacterial microbiota.

Methods: Bacterial communities in bronchoalveolar lavage (BAL) samples from15 atopic wheezing infants, 15 non-atopic wheezing infants, and 18 foreign body aspiration control infants were characterized using 16S rRNA gene sequencing. Atopy was defined based on skin prick test evidence of sensitivity to ≥1 of 12 aeroallergens. BAL was performed using a fiberoptic bronchoscope through the airway via a laryngeal mask. The bacterial composition and community-level functions inferred from between-group differences from sequence profiles were analyzed.

Results: Both α-and β-diversity differed significantly between the groups. Compared to non-atopic wheezing infants, atopic wheezing infants showed a significantly higher abundance in two phyla (Deinococcota and unidentified bacteria) and one genus (Haemophilus) and a significantly lower abundance in one phylum (Actinobacteria).The random forest predictive model of 10 genera based on OTU-based features suggested that airway microbiota has diagnostic value for distinguishing atopic wheezing infants from non-atopic wheezing infants. PICRUSt2 based on KEGG hierarchy (level 3) revealed that atopic wheezing-associated differences in predicted bacterial functions included cytoskeleton proteins, glutamatergic synapses, and porphyrin and chlorophyll metabolism pathways.
DOI: 10.17632/39bb2vh37n.3
title: Metadata in fecundity gene polymorphism for Ethiopian sheep

description: The current study was done to identify whether there is fecundity gene polymorphism or not in indigenous sheep and its association with litter size. The dataset has three parts. Metadata _file 1: It comprises genotype data generated from five locus linked to fecundity gene mutation in Ethiopian indigenous sheep for polymorphism analysis. Metadata File2: It Comprise genotype data, litter size data in parity 1 and parity2 for association analysis. High genetic diversity and strong association with litter size were observed in the current study which will used as a baseline information to design cost effective and sustainable genetic improvement program for commercialization. The information will be used for those who are working in animal genetics and breeding and animal science to repeat the study in other species in the same country/location or same species in different location.  Besides, the data could also be integrated with other related genotype data for comparative analysis among different breeds and species of livestock.
DOI: 10.17632/j8d8pfkvj2.4
title: Vibration and Motor Current Dataset of Rolling Element Bearing Under Varying Speed Conditions for Fault Diagnosis: Part 3

description: This article discloses vibration and motor current data for bearing faults under varying speed conditions from 680 RPM to 2460 RPM. The bearing conditions include healthy bearing, bearings with inner race faults, and bearings with outer race faults. For each faulty bearing condition, the three-phase induction motor is operated under randomly varying speed conditions. 




---- Description of vibration file format ----
Vibration data file contains five columns namely ‘Time Stamp’, ‘x_direction_housing_A’, ‘y_direction_housing_A’, ‘x_direction_housing_B’, and ‘y_direction_housing_B’. The unit of the vibration is ‘gravitational constant (g)’. 

vibration_aaaa_bbbb.csv : This file is "bbbb"-th vibration data includes rotating speed data of the condition of "aaaa".



---- Description of motor current file format ----
Motor current data file contains five columns namely ‘Time Stamp’, ‘R_phase’, ‘S_phase’, and ‘T_phase’. The unit of the motor current is ‘Ampare (A)’.

current_aaaa_bbbb.csv : This file is "bbbb"-th motor current data includes rotating speed data of the condition of "aaaa".



---- Description of rotating speed file format ----
Rotating speed data file contains two columns namely ‘Time Stamp’, and ‘speed’. The unit of the acoustic is revolutions per minute (RPM)’.

rpm_aaaa_bbbb.csv : This file is "bbbb"-th speed data includes rotating speed data of the condition of "aaaa".


Datasets are divided into three parts because of storage limitations (part1, part2, and part3). For more details, please refer to the "Data in Brief" journal.


Contact: Wonho Jung; wonho1456@kaist.ac.kr
DOI: 10.17632/j8d8pfkvj2.5
title: Vibration and Motor Current Dataset of Rolling Element Bearing Under Varying Speed Conditions for Fault Diagnosis: Part 3

description: ---- Description of vibration file format ----
Vibration data file contains five columns namely ‘Time Stamp’, ‘x_direction_housing_A’, ‘y_direction_housing_A’, ‘x_direction_housing_B’, and ‘y_direction_housing_B’. The unit of the vibration is ‘gravitational constant (g)’. 
vibration_aaaa_bbbb.csv : This file is "bbbb"-th vibration data includes rotating speed data of the condition of "aaaa".

---- Description of motor current file format ----
Motor current data file contains five columns namely ‘Time Stamp’, ‘R_phase’, ‘S_phase’, and ‘T_phase’. The unit of the motor current is ‘Ampare (A)’.

current_aaaa_bbbb.csv : This file is "bbbb"-th motor current data includes rotating speed data of the condition of "aaaa".

---- Description of rotating speed file format ----
Rotating speed data file contains two columns namely ‘Time Stamp’, and ‘speed’. The unit of the acoustic is revolutions per minute (RPM)’.
rpm_aaaa_bbbb.csv : This file is "bbbb"-th speed data includes rotating speed data of the condition of "aaaa".

Datasets are divided into three parts because of storage limitations (part1, part2, and part3). 
For more detailed information, check our published paper.
Title: Vibration, Acoustic, Temperature, and Motor Current Dataset of Rotating Machine Under Varying Operating Conditions for Fault Diagnosis
Link: https://www.sciencedirect.com/journal/data-in-brief
DOI: 10.17632/j8d8pfkvj2.6
title: Vibration and Motor Current Dataset of Rolling Element Bearing Under Varying Speed Conditions for Fault Diagnosis: Subset3

description: This dataset discloses vibration and motor current data for bearing faults under varying speed conditions from 680 RPM to 2460 RPM. The bearing conditions include healthy bearing, bearings with inner race faults, and bearings with outer race faults. For each faulty bearing condition, the three-phase induction motor is operated under randomly varying speed conditions. 
Important: Datasets are divided into three parts because of storage limitations (Subset1, Subset2, and Subset3). 

---- Description of vibration file format ----
Vibration data file contains five columns namely ‘Time Stamp’, ‘x_direction_housing_A’, ‘y_direction_housing_A’, ‘x_direction_housing_B’, and ‘y_direction_housing_B’. The unit of the vibration is ‘gravitational constant (g)’. 
vibration_aaaa_bbbb.csv : This file is "bbbb"-th vibration data includes rotating speed data of the condition of "aaaa".

---- Description of motor current file format ----
Motor current data file contains five columns namely ‘Time Stamp’, ‘R_phase’, ‘S_phase’, and ‘T_phase’. The unit of the motor current is ‘Ampare (A)’.

current_aaaa_bbbb.csv : This file is "bbbb"-th motor current data includes rotating speed data of the condition of "aaaa".

---- Description of rotating speed file format ----
Rotating speed data file contains two columns namely ‘Time Stamp’, and ‘speed’. The unit of the acoustic is revolutions per minute (RPM)’.
rpm_aaaa_bbbb.csv : This file is "bbbb"-th speed data includes rotating speed data of the condition of "aaaa".


For more detailed information, check our published paper.
Title: Vibration, Acoustic, Temperature, and Motor Current Dataset of Rotating Machine Under Varying Operating Conditions for Fault Diagnosis
Link: https://www.sciencedirect.com/journal/data-in-brief
DOI: 10.17632/8fcntj63x6.1
title: COX7A2L genetic variants determine cardiorespiratory fitness in mice and human

description: Mitochondrial respiratory complexes form superassembled structures called supercomplexes. We investigated the function of mitochondrial supercomplexes in human. COX7A2L is a supercomplex-specific assembly factor. By using human cis-eQTL data, we highlight a number of genetic variants in the COX7A2L gene that affect its expression in the muscle in a tissue specific manner. The most significant cis-eQTL is a 10 bp insertion in COX7A2L 3’UTR that increases mRNA expression by increasing mRNA stability. Human myotubes harbouring this insertion have higher supercomplexes and increased respiration. Importantly, increased COX7A2L expression in the muscle is associated with lower body fat and improved cardiorespiratory fitness in human. We confirm these findings in mice: specific reconstitution of Cox7a2l expression in C57BL/6J mice leads to higher VO2max, increased lean mass and increased energy expenditure. We further show that, in mice, Cox7a2l expression is induced specifically in the muscle upon exercise. These findings elucidate the genetic basis of mitochondrial supercomplex formation and function in human, and show that COX7A2L plays an important role in cardiorespiratory fitness. Enhancing cardiorespiratory fitness has broad therapeutic implications to reduce all-cause and cardiovascular mortality.

This repository contains the scripts used to generate the figures in Benegiamo et al, "COX7A2L genetic variants determine cardiorespiratory fitness in mice and human"
DOI: 10.17632/x3vhp8t6hg.5
title: Vibration and Motor Current Dataset of Rolling Element Bearing Under Varying Speed Conditions for Fault Diagnosis: Part 2

description: ---- Description of vibration file format ----
Vibration data file contains five columns namely ‘Time Stamp’, ‘x_direction_housing_A’, ‘y_direction_housing_A’, ‘x_direction_housing_B’, and ‘y_direction_housing_B’. The unit of the vibration is ‘gravitational constant (g)’. 
vibration_aaaa_bbbb.csv : This file is "bbbb"-th vibration data includes rotating speed data of the condition of "aaaa".

---- Description of motor current file format ----
Motor current data file contains five columns namely ‘Time Stamp’, ‘R_phase’, ‘S_phase’, and ‘T_phase’. The unit of the motor current is ‘Ampare (A)’.

current_aaaa_bbbb.csv : This file is "bbbb"-th motor current data includes rotating speed data of the condition of "aaaa".

---- Description of rotating speed file format ----
Rotating speed data file contains two columns namely ‘Time Stamp’, and ‘speed’. The unit of the acoustic is revolutions per minute (RPM)’.
rpm_aaaa_bbbb.csv : This file is "bbbb"-th speed data includes rotating speed data of the condition of "aaaa".

Datasets are divided into three parts because of storage limitations (part1, part2, and part3). 
For more detailed information, check our published paper.
Title: Vibration, Acoustic, Temperature, and Motor Current Dataset of Rotating Machine Under Varying Operating Conditions for Fault Diagnosis
Link: https://www.sciencedirect.com/journal/data-in-brief
DOI: 10.17632/x3vhp8t6hg.6
title: Vibration and Motor Current Dataset of Rolling Element Bearing Under Varying Speed Conditions for Fault Diagnosis: Subset2

description: This dataset discloses vibration and motor current data for bearing faults under varying speed conditions from 680 RPM to 2460 RPM. The bearing conditions include healthy bearing, bearings with inner race faults, and bearings with outer race faults. For each faulty bearing condition, the three-phase induction motor is operated under randomly varying speed conditions. 
Important: Datasets are divided into three parts because of storage limitations (Subset1, Subset2, and Subset3). 


---- Description of vibration file format ----
Vibration data file contains five columns namely ‘Time Stamp’, ‘x_direction_housing_A’, ‘y_direction_housing_A’, ‘x_direction_housing_B’, and ‘y_direction_housing_B’. The unit of the vibration is ‘gravitational constant (g)’. 
vibration_aaaa_bbbb.csv : This file is "bbbb"-th vibration data includes rotating speed data of the condition of "aaaa".

---- Description of motor current file format ----
Motor current data file contains five columns namely ‘Time Stamp’, ‘R_phase’, ‘S_phase’, and ‘T_phase’. The unit of the motor current is ‘Ampare (A)’.

current_aaaa_bbbb.csv : This file is "bbbb"-th motor current data includes rotating speed data of the condition of "aaaa".

---- Description of rotating speed file format ----
Rotating speed data file contains two columns namely ‘Time Stamp’, and ‘speed’. The unit of the acoustic is revolutions per minute (RPM)’.
rpm_aaaa_bbbb.csv : This file is "bbbb"-th speed data includes rotating speed data of the condition of "aaaa".


For more detailed information, check our published paper.
Title: Vibration, Acoustic, Temperature, and Motor Current Dataset of Rotating Machine Under Varying Operating Conditions for Fault Diagnosis
Link: https://www.sciencedirect.com/journal/data-in-brief
DOI: 10.17632/276b8wmrzk.1
title: How Familiar is Familiar?

description: Data for manuscript How Familiar is Familiar (Preston et al.)
DOI: 10.17632/mjwzbgddwg.1
title: HOTNCOOL - One Stop Solution for all Replacement Needs of Heating & Cooling

description: Looking for top-quality EVAPORATIVE AIRCONS SPARE PARTS at competitive prices? Look no further! HOTNCOOL is an online store (www.hotncool.com.au) for supplies of branded Evaps & Heating products in Australia and worldwide. We offer the wide range of products to meet all your Heating/Cooling replacement needs.
DOI: 10.17632/dntgsyznzs.1
title: The genetic background shapes disease susceptibility and reveals a specific role for mitochondrial dysfunction in the progression from NAFLD to NASH

description: Non-alcoholic steatohepatitis (NASH) is a global health concern without treatment. The challenge in finding effective therapies is due to the lack of good mouse models and the complexity of the disease, characterized by gene-environment interactions. We tested the susceptibility of 7 mouse strains to develop NASH. The severity of the clinical phenotypes observed varied widely across strains. PWK/PhJ mice were the most prone to develop NASH, while CAST/EiJ mice were completely resistant. Levels of transcripts and proteins present in the mitochondria as well as mitochondrial function were robustly reduced in the liver of PWK/PhJ mice, suggesting a central role of mitochondrial dysfunction in NASH progression. Importantly, the alterations in gene expression observed in PWK/PhJ mice were the closest to the human NASH. Our study exposes the limitations of using a single mouse genetic background in metabolic studies and describes a novel NASH mouse model that closely resembles the human disease.