cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/fknzy9twbz.5
title: Raw and analyzed data of histological alterations and biochemical markers in rat kidney exposed to Cadmium and treated with Atorvastatin 

description: The data set supports studies involving the protective effect of antioxidants against environmental and occupational cadmium contaminant, inducing oxidative kidney damage in rat model.
Details of raw data and Tukey’s multiple comparison tests related to biochemical parameters (BUN, creatinine, GSH, MDA, SOD, and GPx) in the rat groups treated with saline, Atorvastatin (AT) and cadmium.
The insights gained from these data may allow researchers to further explain the role of Atorvastatin antioxidant treatment on the cadmium chloride- induced oxidative stress in rat nephrotoxicity.
These data indicate Atorvastatin improves lipid peroxidation, BUN, and Creatinine serum levels and reduces adverse histological changes in rat kidney tissues induced by cadmium chloride.
DOI: 10.25574/03172
title: Chandra X-ray Observatory ObsId 3172

description: AO3 LETG/ACIS-I CALIBRATION OBSERVATIONS OF PKS2155-304
DOI: 10.25574/03173
title: Chandra X-ray Observatory ObsId 3173

description: AO3 LETG/ACIS-I CALIBRATION OBSERVATIONS OF PKS2155-304
DOI: 10.25574/03174
title: Chandra X-ray Observatory ObsId 3174

description: AO3 LETG/ACIS-I CALIBRATION OBSERVATIONS OF PKS2155-304
DOI: 10.25574/03175
title: Chandra X-ray Observatory ObsId 3175

description: AO3 LETG/ACIS-I CALIBRATION OBSERVATIONS OF PKS2155-304
DOI: 10.25574/03176
title: Chandra X-ray Observatory ObsId 3176

description: AO3 LETG/ACIS-I CALIBRATION OBSERVATIONS OF PKS2155-304
DOI: 10.25574/03177
title: Chandra X-ray Observatory ObsId 3177

description: AO3 LETG/ACIS-I CALIBRATION OBSERVATIONS OF PKS2155-304
DOI: 10.17632/r2fb355wks.1
title: Pressure and curvature control of the cell cycle in epithelia growing under spherical confinement Di Meglio et al.

description: Raw data related to each figure and associated codes
DOI: 10.17632/8fjp3dpdsw.1
title: Virological characteristics of the SARS-CoV-2 Omicron BA.2 subvariants, including BA.2.9.1, BA.2.11, BA.2.12.1, BA.4 and BA.5. Kimura et al.

description: After the global spread of the SARS-CoV-2 Omicron BA.2, some BA.2 subvariants including BA.2.12.1 and BA.4/5, emerged in multiple countries. Our statistical analysis showed that the effective reproduction numbers of these BA.2 subvariants are greater than that of the original BA.2. Neutralization experiments revealed that the immunity induced by BA.1 and BA.2 infections is less effective against BA.4/5. Cell culture experiments showed that BA.2.12.1 and BA.4/5 replicate more efficiently in human alveolar epithelial cells than BA.2, and particularly, BA.4/5 is more fusogenic than BA.2. We further provided the structure of BA.4/5 spike receptor-binding domain that binds to human ACE2 and considered how the substitutions in BA.4/5 spike play roles in ACE2 binding and immune evasion. Moreover, infection experiments using hamsters indicated that BA.4/5 is more pathogenic than BA.2. Our multiscale investigations suggest that the risk of BA.2 subvariants, particularly BA.4/5, to global health is greater than that of original BA.2.
DOI: 10.17632/thbg743tdz.1
title: Supporting data for strengthening and deformation behavior of as-cast CoCrCu1.5MnNi high entropy alloy with micro-/nanoscale precipitation 

description: The data presented here is related to the research article entitled “Strengthening and deformation behavior of as-cast CoCrCu1.5MnNi high-entropy alloy (HEA) with micro-/nanoscale precipitation. Non-equimolar CoCrCu1.5MnNi was cast by the conventional induction melting under a high-purity Ar atmosphere. Scanning electron microscopy equipped with energy dispersive spectroscopy (EDS), and transmission electron microscopy (TEM) were used for micro- and nanostructure characterization. Subsize tensile specimens with two different gage length to width ratio were tested at room and cryogenic temperatures to assess the accuracy of mechanical testing in the as-cast CoCrCu1.5MnNi HEAs. The mixing enthalpy (ΔHmix) versus lattice elastic energy (ΔHel) criterion was used to predict the stable phases. The data on the microstructural and nanostructural distribution of various phases on the strength and ductility in the as-cast HEA could be used in designing high entropy alloys with excellent as-cast mechanical properties.
DOI: 10.17632/thbg743tdz.2
title: Supporting data for strengthening and deformation behavior of as-cast CoCrCu1.5MnNi high entropy alloy with micro-/nanoscale precipitation 

description: The data presented here are related to the research article entitled “Strengthening and deformation behavior of as-cast CoCrCu1.5MnNi high-entropy alloy (HEA) with micro-/nanoscale precipitation. Non-equimolar CoCrCu1.5MnNi was cast by the conventional induction melting under a high-purity Ar atmosphere. Scanning electron microscopy equipped with energy dispersive spectroscopy (EDS), and transmission electron microscopy (TEM) were used for micro- and nanostructure characterization. Subsize tensile specimens with two different gage length to width ratio were tested at room and cryogenic temperatures to assess the accuracy of mechanical testing in the as-cast CoCrCu1.5MnNi HEAs. The mixing enthalpy (ΔHmix) versus lattice elastic energy (ΔHel) criterion was used to predict the stable phases. The data on the microstructural and nanostructural distribution of various phases on the strength and ductility in the as-cast HEA could be used in designing high entropy alloys with excellent as-cast mechanical properties.
DOI: 10.17632/v536dvwszh.1
title: Intensity profile of a focusing Infra-Red Radiation

description: Generally, homogeneous mixture combustion is preferred at high loads in conventional spark-ignition engines. But homogeneous mixture combustion can lead to high hydrocarbon (HC) emissions at low loads. Thereby, stratified mixture combustion with an overall lean mixture is preferred at low loads, which can significantly reduce HC emissions, but NOx and soot emissions will increase. Nowadays, gasoline direct injection (GDI) engines are becoming popular because of better thermal efficiency and low emissions at all loads. These engines work with a stratified mixture at low-load conditions and a homogeneous mixture at high-load conditions. But the problem with these engines is high nitrogen oxides (NOx) and soot emissions at low-load conditions. Therefore, today, the concept of partial stratification is tried in these engines, which is a combination of the combustion of stratified and homogeneous mixtures, using both GDI and port fuel injection (PFI) techniques. With the partial stratified mixture combustion, HC, NOx, and soot emissions are expected to reduce. Also the use of laser ignition instead of spark ignition can reduce NOx and HC emissions. Therefore, this study deals with a computational fluid dynamics (CFD) analysis of the effect of spark and laser ignitions on the combustion, performance, and emission characteristics of a single-cylinder engine operating under GDI-PFI mode operating with a partially stratified mixture. Three overall equivalence ratios (OERs) of 0.5, 0.7, and 0.9 are considered for the analysis. The effects of spark and laser ignitions on turbulent kinetic energy (TKE) formation at the ignition spot, indicated mean effective pressure (IMEP), and emissions are analyzed. To quantify the flame speed, a parameter called relative combustion phasing (RCP) is used. The analysis is performed by maintaining a constant CA50 (crank angle degree [CAD] position where 50% of the total heat release occur in a combustion) by adjusting the start of spark (SOS). Analysis of results showed that the combustion with the laser ignition is faster than that of the spark ignition. The laser ignition with the OER of 0.7 reduced the HC and soot emissions by 5.8% and 2.2 times, respectively, if compared to those of the spark ignitions. The RCP of the laser ignition is about 34.5% lower than that of the corresponding spark ignition. The IMEP for the laser ignition is improved by about 10.4% and the NOx emissions increased by about 3.2% than that of the spark ignition.
DOI: 10.17632/9hvs8s76gy.1
title: Penicillin resistance in bovine Staphylococcus aureus: genomic evaluation of the discrepancy between phenotypic and molecular test methods 

description: Staphylococcus aureus is a major pathogen in humans and animals. In cattle, it is one of the most important agents of mastitis causing serious costs in the dairy industry. Early diagnosis and adequate therapy are, therefore, two key factors to deal with the problems caused by this bacterium, whereby benzylpenicillin (penicillin) is usually the first choice to treat these infections. Unfortunately, penicillin resistance testing in bovine S. aureus strains show discrepancy results between the tests used, and consequently, the best method for assessing penicillin resistance is still unknown. The aim of this study was, therefore, to find a method that assesses penicillin resistance in S. aureus and to elucidate the mechanisms leading to the observed discrepancies.
A total of 146 methicillin-sensitive S. aureus strains isolated from bovine mastitis were tested for penicillin resistance using a broth microdilution (MIC) and two different disc diffusion (DD) protocols. Furthermore, the strains were analyzed for the presence of the bla operon genes (blaI, blaR1, blaZ) by PCR, while a subset of 45 strains was also subjected to whole genome sequencing. Penicillin resistance in S. aureus is highly dependent on the completeness of the bla operon promotor. When the bla operon was complete based on WGS analysis, all strains showed MIC ≥1 µg/mL, whereas, when the bla operon was mutated (31-nucleotide deletion), they were penicillin sensitive except in those strains where an additional, bla operon-independent resistance mechanism was observed.
The WGS of S. aureus analysis fully explained the discrepant results of different resistance testing methods, such as DD and PCR, compared with MIC used as reference method. However, caution is required when interpretating such results.
DOI: 10.17632/x57x2b3ftn.1
title: Effects of grazing management and concentrate supplementation on intake and milk production of dairy cows grazing orchardgrass 

description: Supplemental Figures
DOI: 10.17632/txfx62y5wp.1
title: Anthropometric data and sexual maturation of adolescentes

description: Data from Brazilian adolescents recruited from public schools in a city in the Midwest of São Paulo State.
DOI: 10.17632/2ng44vbb33.1
title: Effect of photobiomodulation on quadriceps strength and endurance in healthy adults: a double-blind randomized controlled trial

description: Purpose: To explore the effect of photobiomodulation on quadriceps strength and endurance torques in healthy adults. 
Methods: Twenty-eight physically inactive healthy adults were randomized to one of two interventions: photobiomodulation (n = 14) or sham (n = 14). Quadriceps strength was evaluated by maximum voluntary isometric contraction tests across three knee extension angles (60°, 70° and 80°) and endurance by an elastic resistance in multiple-set knee extension/flexion repetitions using a load cell. The outcomes were measured at three timepoints, (i) pre-baseline, (ii) baseline, and (iii) final assessment. The photobiomodulation was applied to the quadriceps and triceps surae muscles of the dominant lower limb, using a cluster with 1 infrared laser diode and 3 led amber of 170 mW for 240 seconds over four consecutive days. The sham group went through the same procedures, but the equipment was off, both patients and assessor were blinded to the intervention. Reliability and minimal detectable change of the measures were obtained from the pre-baseline and baseline timepoints. Comparisons between the intervention effects were completed using analysis of covariance with baseline data as covariates with an intention-to-treat approach.
Results. There were no differences between photobiomodulation and sham for maximum isometric at 60°, 70°, 80° and endurance torques (mean difference [95% confidence interval] = 0.008[-0.29;0.31], 0.32[-0.32;0.69], 0,007[-0.35;0.36] and 0.04[-0.03;0.12], respectively). The mean difference between intervention groups were lower than the minimal detectable change for the maximum isometric torque and endurance torque.
Conclusion: Photobiomodulation does not change quadriceps strength and endurance compared to sham in healthy adults.
DOI: 10.17632/pkfvr43s83.1
title: CRC_scRNAseq

description: Data matrix and metafiles for CRC scRNAseq.rds.gz: A total of 54,103 cell transcriptomes from 5 colorectal cancer patients of which 29,481 cells originated from tumors and 24,622 cells from adjacent non-malignant tissues. The file is the Seurat object list which includes the expression matrix and annotation of 58 cell types.
CellRanger_Output: Sequenced reads were then mapped to GRCh38 whole genome using 10X Genomics' Cell Ranger 3 software's cell ranger count function. This compressed file includes Cell Ranger output of filtered_feature_bc_matrix for each sample.
DOI: 10.17632/fp39hzn64m.1
title: DATASET OF MY PAPER

description: ‘XMD.mat’ is the degradation levels monitored before the failure of 10 components.
‘XMDS.mat’ is the degradation level monitored before the failure of 10 components subjected to random shocks.
DOI: 10.17632/kfmsds6bdr.1
title: Dynamics and Impact of Insitu Bitumen Seeps on Soil and Groundwater Resources

description: Retrieved sediment samples from the 15 m deep boreholes (A, B and C) were subjected to grain-size analysis. Gas Chromatography-Mass Spectroscopy (GCMS) analysis of selected sediment and water samples from the boreholes and adjoining swamp delineated the presence, types and concentration of polycyclic aromatic hydrocarbons (PAHs). The sediments were retrieved as ditch-cuttings at 1 m intervals during the borehole construction.
Pumping test data retrieved from pumping at each of the 3 boreholes for a maximum of 6 hours each, were analysed using the Neuman solution  (Nueman, 1975)  for an unconfined aquifer system to determine the hydraulic parameter of the aquifer.
DOI: 10.17632/zypn85x7y7.1
title: Cell-type identity of the avian utricle: single-cell RNA-seq data

description: Dataset 1.  Log2 transformed normalized single-cell RNA-seq counts matrix. 
Dataset 2.  SingleCellExperiment container with raw counts, normalized counts, log2 transformed normalized counts, cluster information, and metadata. 
Both datasets apply to the paper: "Cell-type identity of the avian utricle."
DOI: 10.6084/m9.figshare.20383416.v2
title: scltnn_data

description: the raw data to reproduce the result of scltnn
DOI: 10.17632/fbsdj87gjg.1
title: ETCCDI Metric with an acceleration of ice sheets melting during the 21st century

description: The data consist of 15 annual extreme indices on the entire world and given in a geo-tiff raster datasets. These jndices depend on daily precipitation or daily temperature simulated by the Global Circulation Model (GCM) IPSL-CM5A-LR used in the Coupled Model Intercomparison Project Phase 5 (CMIP5). A historical run and seven different climatic scenarios are simulated between 1951 and 2006 (historical) and between 2006 and 2099 (climatic scenarios). The first climatic scenario is the RCP8.5 baseline scenario from The Intergovernmental Panel on Climate Change (IPCC) corresponds to a global temperature increase of ~5°C with respect to the pre-industrial level. The six other scenarios are superimposed on the RCP8.5 scenarios with an input of freshwater from Greenland and/or West-Antarctica added in the ocean. The amount of added freshwater corresponds to 1.5 or 3m of sea level rise. The results are seven annual time series of the 15 indeces across the world with a 0.5°X0.5° resolution (~50x50 km at the equator) and an historical run from 1951 to 2005. For each grid cell, we have seven different annual evolutions of each index by the end of 21st century. RCP8.5 scenario corresponds to the entire period from 1951 to 2099. For the other scenarios, it is only from 2006 to 2099. The period from 1951 to 2099 corresponds to the historical run (rcp8.5).
DOI: 10.17632/pkg3jk26y6.1
title: Deep Mutational Learning Predicts ACE2 Binding and Antibody Escape to Combinatorial Mutations in the SARS-CoV-2 Receptor Binding Domain. Taft, Weber et al.

description: Yeast displayed RBD-library NGS sequencing data from FACS sorted binding/escape populations to ACE2 and 13 different SARS-CoV-2 binding antibodies, used to train and evaluate predictive models in "Deep Mutational Learning Predicts ACE2 Binding and Antibody Escape to Combinatorial Mutations in the SARS-CoV-2 Receptor Binding Domain" (Taft J, Weber C, et al, 2022)

Datasets are annotated by RBD sequence ('sequence_aa'), Binding Label (0 - escape, 1 - binding), distance from wild type RBD sequence ('Distance'), mAb tested ('Antibody'), and the RBM region and library each sequence is derived from ('Library')
DOI: 10.17632/pkg3jk26y6.2
title: Deep Mutational Learning Predicts ACE2 Binding and Antibody Escape to Combinatorial Mutations in the SARS-CoV-2 Receptor Binding Domain. Taft, Weber et al.

description: Yeast displayed RBD-library NGS sequencing data from FACS sorted binding/escape populations to ACE2 and 13 different SARS-CoV-2 binding antibodies, used to train and evaluate predictive models in "Deep Mutational Learning Predicts ACE2 Binding and Antibody Escape to Combinatorial Mutations in the SARS-CoV-2 Receptor Binding Domain" (Taft J, Weber C, et al, 2022)

Datasets are annotated by RBD sequence ('sequence_aa'), Binding Label (0 - escape, 1 - binding), distance from wild type RBD sequence ('Distance'), mAb tested ('Antibody'), and the RBM region and library each sequence is derived from ('Library')

All sequences/data combined is available as "Taft_Weber_Cell2022_FullData.csv". Alternatively, datasets for individual mAbs, and individual libraries are available in the "Full_sets" folder, separated first by library and then by mAb.
DOI: 10.17632/m5pw82p9p5.1
title: Mutation spectrum data for Saccharomyces cerevisiae psf1-1 pol2-M644G mutants

description: Raw data from the analysis of mutation rates and spectra in psf1-1 pol2-M644G mutants. It includes positions as well as the sequence context of mutated nucleotides.
DOI: 10.17632/pkg3jk26y6.3
title: Deep Mutational Learning Predicts ACE2 Binding and Antibody Escape to Combinatorial Mutations in the SARS-CoV-2 Receptor Binding Domain. Taft, Weber et al.

description: Yeast displayed RBD-library NGS sequencing data from FACS sorted binding/escape populations to ACE2 and 13 different SARS-CoV-2 binding antibodies, used to train and evaluate predictive models in "Deep Mutational Learning Predicts ACE2 Binding and Antibody Escape to Combinatorial Mutations in the SARS-CoV-2 Receptor Binding Domain" (Taft J, Weber C, et al, 2022)

Datasets are annotated by RBD sequence ('sequence_aa'), Binding Label (0 - escape, 1 - binding), distance from wild type RBD sequence ('Distance'), mAb tested ('Antibody'), and the RBM region and library each sequence is derived from ('Library')

All sequences/data combined is available as "Taft_Weber_Cell2022_FullData.csv". Alternatively, datasets for individual mAbs, and individual libraries are available in the "Full_sets" folder, separated first by library and then by mAb.
DOI: 10.17632/m57pyrz8zb.2
title: blockchain-for-uav-networks

description: This is a proof-of-concept implementation of a blockchain use case for UAV networks
DOI: 10.17632/z3nd435hzj.1
title: Zeeuwind-dataset 

description: This dataset provides two sheets, one is a collection of newspaper articles on Zeeuwind, the second is the categorisation of the incidents in the newspaper articles into events.
DOI: 10.34740/kaggle/dsv/4111904
title: Insect Village Synthetic Dataset
DOI: 10.17632/jrsgf3kczd.1
title: Data and Code for Petach and Wilson (2022) - Guard Labor

description: Data and Code to replicate Petach and Wilson (2022) - "The Rise of Guard Labor in the United States: Evidence from Local Labor Markets"
DOI: 10.48366/r212405
title: Industry 4.0 relevant work associated with the semantic web (knowledge graphs).

description: Today, artificial intelligence techniques are proving to be applicable to all domains where there is data to be manipulated, especially the use of the semantic web. In this comparison, some works in the field of Industry 4.0 using knowledge graphs are presented.
DOI: 10.6084/m9.figshare.20537982
title: Figure 1 clock gene expressions in 661W cells

description: qPCR CT values for circadian gene expressions in 661W cells
DOI: 10.6084/m9.figshare.20559030.v1
title: parekh.rds

description: Transcription factor overexpression effects in hPSCs assessed by scRNA-seq
DOI: 10.6084/m9.figshare.20559030
title: parekh.rds

description: Transcription factor overexpression effects in hPSCs assessed by scRNA-seq
DOI: 10.6073/pasta/caa7e3411c17fc9a31f72588aee0a403
title: Marcell Experimental Forest 30-minute air temperature, relative humidity, and barometric pressure, 2015 - ongoing

description: This data publication contains air temperature, relative humidity, and atmospheric pressure data collected at 30-minute resolution from 2015-ongoing at three long term meteorological monitoring stations at the Marcell Experimental Forest (MEF). The MEF is located in Itasca County, Minnesota and is operated and maintained by the USDA Forest Service, Northern Research Station.
DOI: 10.6084/m9.figshare.19140008
title: Behavioural and EEG evidence for inter-individual variability in late encoding stages of word production

description: Individuals differ in the time needed to name a picture. This contribution asks whether this inter-individual variability emerges in earlier stages of word production (e.g. lexical selection) or later stages (e.g. articulation) and examines the consequences of this variability for EEG group results. We measured participants’ (<i>N </i>= 45) naming latencies and continuous EEG in a picture-word interference task and naming latencies in a delayed naming task. Inter-individual variability in naming latencies in immediate naming (in contrast with inter-item variability) was not larger than the variability in the delayed task, suggesting that some variability in immediate naming originates in later stages of word production. EEG data complemented this interpretation: Differences between relatively fast vs. slow speakers emerged in response-aligned analyses in a time window close to the vocal response. We additionally present a method to assess the generalisability of the timing of effects across participants based on random sampling.
DOI: 10.6084/m9.figshare.19140008.v1
title: Behavioural and EEG evidence for inter-individual variability in late encoding stages of word production

description: Individuals differ in the time needed to name a picture. This contribution asks whether this inter-individual variability emerges in earlier stages of word production (e.g. lexical selection) or later stages (e.g. articulation) and examines the consequences of this variability for EEG group results. We measured participants’ (<i>N </i>= 45) naming latencies and continuous EEG in a picture-word interference task and naming latencies in a delayed naming task. Inter-individual variability in naming latencies in immediate naming (in contrast with inter-item variability) was not larger than the variability in the delayed task, suggesting that some variability in immediate naming originates in later stages of word production. EEG data complemented this interpretation: Differences between relatively fast vs. slow speakers emerged in response-aligned analyses in a time window close to the vocal response. We additionally present a method to assess the generalisability of the timing of effects across participants based on random sampling.
DOI: 10.21227/qc4f-6p74
title: Data

description: Ocean Data.
DOI: 10.5281/zenodo.7017141
title: Road condition dataset from LTPP database

description: The dataset is collected from the LTPP database.
DOI: 10.5281/zenodo.7017140
title: Road condition dataset from LTPP database

description: The dataset is collected from the LTPP database.