cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/sx4d7mvgvz
title: Acceptability of restrictions on flying - climate change and COVID-19
DOI: 10.17632/zmvvff35dx
title: SeqLengthPlot outputs on toxin candidates identified by DeTox in the single-end Transcriptome of Savalia savaglia

description: This dataset contains the output folder compiled by SeqLengthPlot applied to the toxin candidates identified by DeTox in the single-end of Savalia savaglia. 

The folder seq_length_DeTox_output_Ss_SE_candidate_toxins contains:
• seq_above99aa.fasta:
Retrieved FASTA file containing the toxin candidates with lengths of 100 aa and above, after splitting the input FASTA file based on the given threshold.

• seq_below100aa.fasta:
Retrieved FASTA file containing the toxin candidates with lengths below 100 aa, after splitting the input FASTA file based on the given threshold.

• seq_length_distribution_above99aa.png:
PNG image file showing a histogram of toxin candidate lengths of 100 aa and above on a linear scale.

• seq_length_distribution_above99_log.png:
PNG image file showing a histogram of toxin candidate lengths of 100 aa and above on a logarithmic scale.

• seq_length_distribution_below100aa.png:
PNG image file showing a histogram of toxin candidate lengths below 100 aa on a linear scale.

• seq_length_distribution_below100_log.png:
PNG image file showing a histogram of toxin candidate lengths below 100 aa on a logarithmic scale.

• seq_length_stats_by_threshold_100.txt:
Text file containing detailed statistics of the toxin candidate lengths in the input FASTA file, including the total number of sequences, the number of sequences 100 aa and above, the number of sequences below 100 aa, and the corresponding minimum and maximum lengths.
DOI: 10.6084/m9.figshare.1494710.v1
title: X-ray CT soil data

description: Data represent 3D X-ray CT images of soil scanned at 15.8 microns resolution.
DOI: 10.6084/m9.figshare.20260761.v1
title: alphapeptdeep_notebooks_and_data.zip

description: The Python notebooks and data used in the AlphaPeptDeep paper.
DOI: 10.6084/m9.figshare.22807130.v1
title: <strong>Adrenaline rush in athletes: Visualizing glucose fluctuations during high-intensity races</strong>

description: Under stressful or exciting conditions, athletes can perform beyond their typical capabilities during a so-called “adrenaline rush.” In the preliminary study by one sub-elite runner, we found that even in the fasted state, hyperglycemia occurs during high loaded running by the fact that both blood glucose and interstitial fluid glucose levels rose rapidly to 11-12 mM. This suggests that glycogen in the liver is degraded by anti-stress hormones, leading to an increase in glucose concentration. In the next, we analyzed the temporal changes in interstitial glucose concentration before, during, and after races using continuous glucose monitoring (CGM) data obtained from a total of 36 elite long-distance athletes including walking race (non-fasting state). We found that even healthy subjects recorded high glucose levels (mean 8.3 ± 1.5 mM) before the start of the race and the glucose fluctuations during the race were also recorded at 11.2 ± 2.2 mM, suggesting not only blood glucose level fluctuation due to supplementation before the races, but also due to the effects of stress hormones such as epinephrine, cortisol and glucagon. Furthermore, the mean glucose level during the daytime for the three days before the race event was significantly different by 0.3 mM (p&lt;0.001) compared to the mean during the daytime for the three days after the race. These results suggested that efficient utilization of liver glycogen is important to keep high performance throughout the race, since the liver glycogen also consumed under stress.
DOI: 10.6084/m9.figshare.6444503.v1
title: Supplementary Material for: Factors Associated with Gastric Black Spot, White Flat Elevated Mucosa, and Cobblestone-Like Mucosa: A Cross-Sectional Study

description: <b><i>Background/Aims:</i></b> Previous studies have reported a possible relevance between proton pump inhibitor (PPI) use and 3 new gastric mucosal changes: black spots (BSs), white flat elevated mucosa (WFEM), and cobblestone-like mucosa (CLM). The aim of this study was to investigate the association between these mucosal changes and multiple factors including PPI use. <b><i>Methods:</i></b> All subjects who underwent a routine esophagogastroduodenoscopy (EGD) were successively enrolled. Endoscopists carried out the EGD after being blinded about ­information on patient PPI usage and determined the presence of these mucosal changes. The ratio of each factor was ­compared in cases with and without each gastric finding. <b><i>Results:</i></b> Out of 1,214 patients, BSs were recognized in 75 (6.2%) cases, WFEM in 59 (4.9%), and CLM in 41 (3.4%). In logistic regression analysis, PPI use was significantly correlated with all of these findings (BSs: OR 2.94; 95% CI 1.66–5.21), (WFEM: OR 3.58; 95% CI 1.94–6.61), and (CLM: OR 4.57; 95% CI 2.34–9.96), and <i>Helicobacter pylori</i> eradication was related to BSs (OR 3.01; 95% CI 1.73–5.24) and WFEM (OR 2.11; 95% CI 1.08–4.11). Decision-tree analyses showed that <i>H. pylori</i> eradication was associated with all findings. <b><i>Conclusions:</i></b> All of the considered findings were correlated with PPI and <i>H. pylori</i> eradication.
DOI: 10.17632/78nj7pz73w
title: Clarifying the carbonization temperature effects on the production and apparent density of charcoal derived from Amazonia wood wastes

description: Data of wood basic density, carbonization performance (yield and raw material consumption) at different final temperatures (400, 500, 600, and 700°C), and apparent relative density of charcoal from wood wastes of twelve tropical species from the Brazilian Amazonia.
DOI: 10.17632/bn7ytz4mfz
title: Substantial contribution of iodine to Arctic ozone destruction - data 

description: The data includes:
1) Halogen oxide data as a part of Figure 1 (brodata.csv and iodata.csv). These are the full time-series of the IO and BrO data observed by the MAX-DOAS instrument during the MOSAiC expedition. It includes the time, latitude, longitude, the mixing ratio of the species and the uncertainty of the observation.
2) The GPS data in pickle format (gpsdata.pkl python database) - includes the date/time (UTC) along with the position of the ship (latitude/longitude) for the whole campaign.
3) Bromine containing trace gas signal using the CPI-TOF (MOSSAiC_Br_Spring_Data_BrSignal.txt). This includes the Br signal observed during the spring season during MOSAiC. The file includes the date, time and the signal observed by the instrument.
4)  The THAMO box model code and results that were used to make figure 2 (THAMO-box-IOyr-MOSAIC2020.rar)
DOI: 10.17632/czf3xp6ncz
title: SERVQUAL data on teacher professional program (PPG)

description: The data collected is a form of participant's responses to the quality of service for the professional teacher education program that has been implemented in 2020 and organized by Universitas Negeri Yogyakarta, under the Ministry of Education Culture in Indonesia. Respondents are elementary school teachers spread across various regions of Indonesia.
DOI: 10.17632/m89hmh4d9k
title: Elsevier Author Aid Human Diseases Collection, part 3 (Microdeletions Rare Diseases)

description: -----&gt; Chromosome Microdeletions Rare Disease (Author Aid Human Disease Collection, Part 3) This is an addition to Author Aid Human Disease Collection (see in Mendeley datasets). Part 3 includes available at the moment automatically generated text-mining information for the list of selected rare diseases with microdeletions. Files are planned to be updated quarterly. -----&gt;Please download the files to read and open links!
DOI: 10.17632/xwp8t6fvsb
title: HINDI TRANSLATION, CROSS CULTURAL ADAPTATION, VALIDATION AND TEST RE-TEST RELIABILITY OF CHEDOKE MCMASTER STROKE ASSESSMENT(CMSA) SCALE: A CROSS-SECTIONAL STUDY

description: This Data Contain Hindi translation, cross cultural adaptation , validation and test retest reliability of Chedoke McMaster stroke Assessment scale Stroke is one of the leading causes of death and long-term disability worldwide, emphasizing the need for effective rehabilitation strategies. CMSA is a reliable and valid measure developed in Canada. The widespread use of Hindi, there is no Hindi translation of the CMSA. Developing a culturally and linguistically appropriate version of the CMSA for Hindi speakers could enable rehabilitation personnel to evaluate change in the patient’s motor control and functional ability. This study translated and adapted the CMSA into Hindi for effective stroke assessment in Hindi-speaking patients. We obtained permission from the original author of the CMSA to translate the tool into Hindi. The translation process adhered to recognized guidelines for cross-cultural adaptation. Two bilingual experts, one with a medical background and the other a linguistic specialist, independently translated the CMSA into Hindi. The translations were combined and back-translated into English by independent translators to ensure consistency with the original tool. To ensure content validity, we used the Delphi method to assess the relevance of each item in the scale. The experts evaluated each item on a 4-point scale, and the Item-Level Content Validity Index (I-CVI) and Scale-Level Content Validity Index Average (S-CVI/Ave) were calculated. 51 stroke patients were chosen using a suitable sample technique based on the selection criteria in order to estimate concurrent validity and test re-test reliability. The content validation process demonstrated a high degree of linguistic and cultural equivalence. The Hindi CMSA achieved an I-CVI of 0.98985, an S-CVI/Ave of 0.98985, and an S-CVI/UA of 0.881944, indicating strong evidence of its validity. Reliability results demonstrated Cronbach's alpha 0.999 and ICC 0.998 values were calculated for test-retest reliability The results were analysed, evaluated, and compared using the statistical software package for social sciences (SPSS) version 20.0, with a total of 51 participants assessed for the study. The normality of the data was assessed using the Shapiro-Wilk Test. During the comprehensive assessment of test-retest reliability, Spearman's ρ yielded a remarkable value of 0.998, indicating a high degree of This study evaluated that there was strong relationship showed by the spearmen rho value that was 0.998 along with 0.000 P value. The Hindi CMSA has been culturally adapted and validated for evaluating stroke-related impairments and functional activity in Hindi-speaking healthcare environments. This study gave a strong evidence which proves Hindi version of CMSA is Highly reliable and valid. This version will enhance the ability of rehabilitation personnel in conducting clinical assessments and customizing rehabilitation strategies for this population
DOI: 10.6084/m9.figshare.21744253.v1
title: Colorimetric variation and correlation of biometric parameters between umbu matrices

description: Abstract The umbu tree is an endemic species and is found in the Brazilian semi-arid. Umbu is highly appreciated for its socioeconomic importance and significant diversity of quality attributes. This study aims to explore the color-related variations between umbu matrices, and to evaluate the correlation between the main biometric attributes of quality. With this, 14 matrices were explored at the commercial ripening stage and submitted to colorimetric analysis (a*, b*, C* and L*) and determination of biometric parameters (fruit mass, length, width, shape, firmness, percentages of peel, seed, pulp, and yield). The colorimetric parameters were evaluated by the Scott-Knott mean test and dendrogram, and biometrics were submitted to linear correlation analysis. It was observed that in the peel green predominates, compared to the pulp, and the lowest luminosity indexes (L*) consist of the fruits with hairy peel. The saturation (C*) has a direct relationship with parameter b*; in addition, the dendrogram indicates the formation of four groups between the matrices. The correlation analysis of biometric parameters showed significant tendencies. Therefore, the results reinforce that the parameters evaluated can provide an important tool in selecting and quality control these fruits, since the required characteristics change according to their commercial purpose.
DOI: 10.6084/m9.figshare.22083137.v1
title: Dataset of Mouse Facial Expressions

description: Mouse facial images during three emotional states (neutral, painful, and tickling).
DOI: 10.17632/49jxfch6hd
title: Supplemental MateriaL: A multivariable disease specific model enhances prognostication beyond current Merkel cell carcinoma staging: an international cohort study of 10,958 patients. Journal of the American Academy of Dermatology

description: Supplementary Figures for publication A multivariable disease specific model enhances prognostication beyond current Merkel cell carcinoma staging: an international cohort study of 10,958 patients. Journal of the American Academy of Dermatology
DOI: 10.17632/j4875x8jxw
title: Model-Based Control of Modular Multilevel Converters

description: This dataset contains the implementation of the Modular Multilevel Converter (MMC) dynamic model proposed in [1], and of the model-based control structure using the ideal average capacitors voltage reference proposed in [1]. 
The files contained in this dataset have been created using MATLAB/Simulink R2023a. 
This dataset contains the following files:

- FULL_MMC_m.m: main script, performing the following operations: definition of the parameters of the MMC dynamic model and control, launching of the simulation, plotting and display of the simulation results. This is the file to be run in order to launch the simulation of the MMC dynamic model and control implemented in FULL_MMC_slx.slx;
- FULL_MMC_slx.slx: Simulink model containing the implementation of the MMC dynamic model and control;
- Noise_Values.mat: file containing the numerical values for the definition of the noise affecting the different signals;
- Desired_Ia_Profile.mat: file containing the desired load current profile;
- calculate_levels.m: auxiliary MATLAB function calculating the available voltage levels;
- POG_Congruent_Transformation.m: auxiliary MATLAB function calculating the reduced model of the inductive part of the MMC dynamic model;
- filtromedia.m: auxiliary function performing the moving average.

[1] Davide Tebaldi and Roberto Zanasi, Model-Based Cascade Control of Single-Phase Modular Multilevel Converters Using Ideal Capacitor Voltages Reference, Control Engineering Practice.
DOI: 10.6084/m9.figshare.12981941.v1
title: A new traversodontid cynodont with a peculiar postcanine dentition from the Middle/Late Triassic of Namibia and dental evolution in basal gomphodonts

description: We here present a new gomphodont cynodont from the Ladinian/Carnian Upper Omingonde Formation of central Namibia. <i>Etjoia dentitransitus</i> gen. et sp. nov. is a medium-sized (skull length of 88.5 mm) omnivorous gomphodont represented by an almost complete skull and a few cervical vertebrae. This new taxon is diagnosed by divergent first left and right lower incisors that bear large apically inclined denticles, a third lower gomphodont postcanine with a well-separated mesial cingulum, four distal upper and lower sectorial teeth, and a lingually offset last upper sectorial postcanine. <i>Etjoia</i> is particular in having a transitional dentition between basal gomphodonts and traversodontids. It shares with some non-traversodontid gomphodonts a high number of sectorial postcanines and ovoid mesial-most upper gomphodont postcanines with a centrally positioned transverse crest. <i>Etjoia</i> was, however, recovered as a basally branching Traversodontidae in phylogenetic analyses performed on different data matrices. It shares with traversodontids upper gomphodont postcanines with a high transverse crest, sub-rectangular and mesiodistally elongated lower gomphodont postcanines, and a mesially displaced transverse crest in the lower gomphodont postcanines. We explored dental evolution in basal cynognathians based on a dentition-oriented data matrix. The acquisition of gomphodont postcanines, which allowed tooth-to-tooth occlusion, in basal-most gomphodonts was followed by a loss of shearing planes between the upper and lower gomphodont postcanines in non-diademodontid gomphodonts, and the development of deep basins and tall transverse crests in gomphodont teeth and shearing planes between the upper and lower gomphodont postcanines in basal traversodontids. These dental transformations likely resulted from three shifts in feeding ecologies, from a carnivorous to an omnivorous diet in basal-most gomphodonts, followed by an adaptation to a specialized feeding ecology possibly made of insects and hard plant material in basal-most neogomphodonts (traditional ‘trirachodontids’), then an increase in the consumption of plant-material in basal traversodontids. http://zoobank.org:pub:28DE1B1F-2D4A-4712-9D2C-80B8DBB7527D
DOI: 10.6084/m9.figshare.24208641.v1
title: S006.zip

description: Data for S006
DOI: 10.17632/r8vtx3w4h9
title: TorchQC - A framework for efficiently integrating machine and deep learning methods in quantum dynamics and control

description: Machine learning has been revolutionizing our world over the last few years and is also increasingly exploited in several areas of physics, including quantum dynamics and control. The need for a framework that brings together machine learning models and quantum simulation methods has been quite high within the quantum control field, with the ultimate goal of exploiting these powerful computational methods for the efficient implementation of modern quantum technologies. The existing frameworks for quantum system simulations, such as QuTip and QuantumOptics.jl, even though they are very successful in simulating quantum dynamics, cannot be easily incorporated into the platforms used for the development of machine learning models, like for example PyTorch. The TorchQC framework introduced in the present work comes exactly to fill this gap. It is a new library written entirely in Python and based on the PyTorch deep learning library. PyTorch and other deep learning frameworks are based on tensors, a structure that is also used in quantum mechanics. This is the common ground that TorchQC utilizes to combine quantum physics simulations and deep learning models. TorchQC exploits PyTorch and its tensor mechanism to represent quantum states and operators as tensors, while it also incorporates all the tools needed to simulate quantum system dynamics. All necessary operations are internal in the PyTorch library, thus TorchQC programs can be executed in GPUs, substantially reducing the simulation time. We believe that the proposed TorchQC library has the potential to accelerate the development of deep learning models directly incorporating quantum simulations, enabling the easier integration of these powerful techniques in modern quantum technologies.
DOI: 10.6084/m9.figshare.24631020.v1
title: <b>Genomic</b><b> diversity of antimicrobial resistance in clinical</b><b><i> Klebsiella pneumoniae </i></b><b>isolates from tertiary hospitals in Southern Ghana</b>

description: Plasmid assemblies analysed in the <b>Genomic</b><b> diversity of antimicrobial resistance in clinical</b><b><i> Klebsiella pneumoniae </i></b><b>isolates from tertiary hospitals in Southern Ghana</b> paper.
DOI: 10.6084/m9.figshare.25048385.v1
title: Supplementary Table 1.docx

description: 用于内部和外部验证中光谱标准化的牛奶样品的描述性统计。
DOI: 10.6084/m9.figshare.28720142.v1
title: <b>Identificación religiosa y percepciones sobre guerra, justicia y paz en jóvenes universitarios</b>

description: This exploratory qualitative study, conducted with 175 students from Mexican universities, examined the relationship between religious identification and attitudes toward five scales: militarism, pacification, undervaluation of peace, hatred of war, and the concept of a just world. The results indicate that students with belief in a theistic God showed a greater inclination toward militarism, while no significant differences were found regarding pacification. Catholic students were those who least despised war, and those identifying as atheists or non-theistic religions were the least likely to believe in the existence of a just world. These findings provide a framework for understanding the perspectives of this age group.
DOI: 10.6084/m9.figshare.24803166.v1
title: Integrated Kidney Data

description: This item contains the code and data to perform the integrated kidney data analysis from the manuscript "<b>Niche-DE: niche differential gene expression analysis in spatial transcriptomics data identifies context-dependent cell-cell interactions</b>"
DOI: 10.6084/m9.figshare.16669234.v1
title: GESS Dataset

description: ACFGs extracted from compiled functions from openssl and binutils
DOI: 10.17632/d3fd79c9ww
title: Replication Code/Pseudo Data for: "Index Providers: Whales Behind the Scenes of ETFs"

description: The files contain replication codes and pseudo data that generate the tables and figures in the paper An, Yu, Benetton, Matteo, and Song, Yang, "Index Providers: Whales Behind the Scenes of ETFs", Journal of Financial Economics, Forthcoming.
DOI: 10.17632/wsss2nbsdv
title: Data set of Acute Oral Toxicity and Subacute Neurotoxicity Pre-clinical Risk Assessments on Sprague Dawley Rats Treated with Single Dose or Repeated Doses of Flavanoid-Enriched Fraction Extracted from Oroxylum Indicum

description: Here, we present the data set of liquid chromatography-mass spectroscopy (LC-MS), relative organ weight (ROW), hematology, biochemical and histopathological parameters of flavanoid-enriched fraction (FEF)-treated Sprague Dawley (SD) rats. The data set was generated from three study groups: Sighting Study, Acute Toxicity Study and Subacute Neurotoxicity Study with study duration of 14-days (Sighting Study and Acute Toxicity Study) and 28 days (Subacute Neurotoxicity Study) by strictly following the procedures set in Organisation for Economic Co-operation and Development (OECD) Guidelines 420 and Guidelines 424 in vivo. Rats in sighting study were treated with dosage of 5, 50, 300 and 2000 mg/kg FEF (n=1/dosage/gender), respectively, and was observed for mortality, toxicity signs and behavioral changes. For acute toxicity study, the highest dosage from sighting study where the animal survived were selected as the dosage, with higher number of animals (n=5/dosage/gender). Meanwhile, for subacute neurotoxicity study, male and female SD rats (n=5/dosage/gender) were treated with dosage of 50 mg/kg for 28 days. Rat’s behavior were observed daily, body weight were measured weekly, while organs weight were harvested at the end of the study (Day 15). Whole blood were collected at the end of the study via cardiac puncture into EDTA tubes for hematological evaluation that includes red blood cells (RBC), hemoglobin (Hb), packed cell volumes (PCV), mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), mean corpuscular haemoglobin concentration (MCHC), platelet, white blood cells (WBC) count and WBC differentials. Meanwhile, blood serum were collected in slow sand filter (SST) tubes for biochemical evaluation such as total protein (TP), albumin, bilirubin, alkaline phosphatase (ALP), aspartate aminotransferase (AST) and alanine aminotransferase  (ALT). All vital organs (brain, liver, kidneys, heart, lungs and reproductive organs) also were collected at the end of the study for histopathological assessments.
DOI: 10.6084/m9.figshare.1007650.v3
title: Kayak image fusion sequence

description: Here we present part I of the multimodal Kayak image dataset consisting of two image sequences showing three approaching kayaks in a cluttered maritime background. The scenario was registered in the 3-5 mm (mid-wave infrared), and 8-12 mm (long wave infrared or thermal) frequency bands and in the visual range. Because of the variation in distance the targets (kayaks) vary from dim point targets to easily distinguishable objects. This dataset can be used to develop and test mulisensor image fusion schemes and dim target detection algorithms.