cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.13618
title: Data support
title: Data support

description: 由于特级初榨橄榄油 （EVOO） 的营养价值和高价格，将 EVOO 掺入低档橄榄油和其他类型的植物油已成为食品行业的一个大问题。但是，快速和批量检测 EVOO 掺假的技术很少。本研究比较了荧光高光谱成像 （FHSI） 和 FTIR 对 EVOO 中不同品种和浓度植物油的掺假鉴定。
description: 由于特级初榨橄榄油 （EVOO） 的营养价值和高价格，将 EVOO 掺入低档橄榄油和其他类型的植物油已成为食品行业的一个大问题。但是，快速和批量检测 EVOO 掺假的技术很少。本研究比较了荧光高光谱成像 （FHSI） 和 FTIR 对 EVOO 中不同品种和浓度植物油的掺假鉴定。
DOI: 10.15468/dl.ymnv25
title: Occurrence Download

description: A dataset containing 219 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Aneides flavipunctatus flavipunctatus)"
 ]
}

 The dataset includes 219 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001109-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.13619
title: Current-voltage characteristics of memristive devices obtained under ion irradiation
title: Current-voltage characteristics of memristive devices obtained under ion irradiation

description: This dataset contains current-voltage characteristics of ZrO2(Y)-based memristive devices irradiated with H⁺, Ne⁺, O⁺, and Kr⁺ ions, as well as control (non-irradiated) devices.
description: This dataset contains current-voltage characteristics of ZrO2(Y)-based memristive devices irradiated with H⁺, Ne⁺, O⁺, and Kr⁺ ions, as well as control (non-irradiated) devices.
DOI: 10.57760/sciencedb.13621
title: Metagenome of paddy soil in different regions of China
title: 中国不同地区水稻田土壤的宏基因组

description: Metagenome of paddy soil in different regions of China
description: Metagenome of paddy soil in different regions of China
DOI: 10.57760/sciencedb.13626
title: Gut-skin axis model aids curing atopic dermatitis
title: Gut-skin axis model aids curing atopic dermatitis

description: Data of Fig.1-6 and supplemental Fig.1-6
description: Data of Fig.1-6 and supplemental Fig.1-6
DOI: 10.57760/sciencedb.13628
title: The ionospheric foF2 and hmF2 parameters at Hainan, Mohe, and Wuhan stations from 2013 to 2018
title: The ionospheric foF2 and hmF2 parameters at Hainan, Mohe, and Wuhan stations from 2013 to 2018

description: The ionospheric data includes the foF2 and hmF2 parameters obtained with the digisonde at Hainan, Mohe, and Wuhan stations from 2013 to 2018. The data at low latitude Hainan station has been manual scaled and the data at middle latitude Mohe and Wuhan stations are auto scaled. The format of the data is ' year, month, day, doy, hour, minute, second, foF2, hmF2'. The default value is 999.0.
description: The ionospheric data includes the foF2 and hmF2 parameters obtained with the digisonde at Hainan, Mohe, and Wuhan stations from 2013 to 2018. The data at low latitude Hainan station has been manual scaled and the data at middle latitude Mohe and Wuhan stations are auto scaled. The format of the data is ' year, month, day, doy, hour, minute, second, foF2, hmF2'. The default value is 999.0.
DOI: 10.57760/sciencedb.13629
title: Subsequent enhancement of mechanical properties using heat treatment of steel/copper bimetallic components manufactured by laser powder bed fusion
title: Subsequent enhancement of mechanical properties using heat treatment of steel/copper bimetallic components manufactured by laser powder bed fusion

description: This study enhanced the interfacial mechanical properties of copper-steel bimetallic structures by heat treatment, and the data are for all tensile experiments.
description: This study enhanced the interfacial mechanical properties of copper-steel bimetallic structures by heat treatment, and the data are for all tensile experiments.
DOI: 10.57703/ce-4aq72
title: P36 - CrN Rough Sample - Universidad Nacional del Sur

description: Equipment: Carl Zeiss Smartproof 5. 
The measurements were performed using a 20x objective (C Epiplan Apochromat 20X / NA 0.7 DIC 422652-9900) in a single field of view. 
Lateral dimensions: 553.12 x 553.12 um. 
Light wavelength: 405 nm. 
Acquisition software: ZEISS Efficient Navigation (ZEN). 
Measurement software: ConfoMap ST 7.4.8076.
DOI: 10.57760/sciencedb.psych.00291
title: Depression Anxiety Stress Scales Responses
title: Depression Anxiety Stress Scales Responses

description: Here is a dataset for the three dimensions of the Depression, Anxiety and Stress Scales test. It contains the following attributes: Total_Count,Neuroticism_Trait,Extraversion_Trait,Openness_Trait,Agreeableness_Trait,Conscientiousness_Trait,education,ur Ban, gender, age, religion, race, and I, familysize, Label.
description: Here is a dataset for the three dimensions of the Depression, Anxiety and Stress Scales test. It contains the following attributes: Total_Count,Neuroticism_Trait,Extraversion_Trait,Openness_Trait,Agreeableness_Trait,Conscientiousness_Trait,education,ur Ban, gender, age, religion, race, and I, familysize, Label.
DOI: 10.57760/sciencedb.13635
title: Facial micro-expression dataset
title: Facial micro-expression dataset

description: This is a dataset of microexpressions.
description: This is a dataset of microexpressions.
DOI: 10.57760/sciencedb.psych.00293
title: The related code of MFM
title: The related code of MFM

description: Here is the relevant code for MFM, which used to process multimodal data. Mainly in terms of single-modal feature extraction, this code realizes efficient feature extraction of psychological assessment data and facial micro-expression data based on RVFFM and GoogLeNet-SE-MHA, respectively.  Moverover, an ensemble multi-modal fusion algorithm based on feature-level and decision-level fusion is used to realize the recognition and classification based on multi-modal data.
description: Here is the relevant code for MFM, which used to process multimodal data. Mainly in terms of single-modal feature extraction, this code realizes efficient feature extraction of psychological assessment data and facial micro-expression data based on RVFFM and GoogLeNet-SE-MHA, respectively.  Moverover, an ensemble multi-modal fusion algorithm based on feature-level and decision-level fusion is used to realize the recognition and classification based on multi-modal data.
DOI: 10.57760/sciencedb.13633
title: Data for "Electron Beams Generated by the Electron Kelvin-Helmholtz Instability at a Quasi-perpendicular Shock"
title: Data for "Electron Beams Generated by the Electron Kelvin-Helmholtz Instability at a Quasi-perpendicular Shock"

description: This data set contains data used to plot the figures in the article "Electron Beams Generated by the Electron Kelvin-Helmholtz Instability at a Quasi-perpendicular Shock". Please check README.md contained in the zip file for more information.
description: This data set contains data used to plot the figures in the article "Electron Beams Generated by the Electron Kelvin-Helmholtz Instability at a Quasi-perpendicular Shock". Please check README.md contained in the zip file for more information.
DOI: 10.57760/sciencedb.psych.00294
title: The multi-modal dataset of MFM
title: The multi-modal dataset of MFM

description: This is a related dataset on MFM. It contains data from two modalities: psychological tests and microexpressions. In the DAS is a dataset of three dimensions tested by the Depression, Anxiety and Stress scales. It contains the following attributes: total number, neuroticism trait, extraversion trait, openness trait, agreeableness trait, conscientiousness trait, education level, urban, gender, age, religion, ethnicity, family size, label. Moreover, ME is a dataset on micro-expressions.
description: This is a related dataset on MFM. It contains data from two modalities: psychological tests and microexpressions. In the DAS is a dataset of three dimensions tested by the Depression, Anxiety and Stress scales. It contains the following attributes: total number, neuroticism trait, extraversion trait, openness trait, agreeableness trait, conscientiousness trait, education level, urban, gender, age, religion, ethnicity, family size, label. Moreover, ME is a dataset on micro-expressions.
DOI: 10.57760/sciencedb.agriculture.00143
title: A Dataset for identifying annual crop germplasm resources of Xinjiang Production and Construction Crops during 2021—2022
title: 2021—2022年新疆生产建设兵团一年生作物种质资源鉴定数据集

description: This data set is composed of two folders and nine data tables, with a time span from 2021 to 2022. The crop identification data set for 2021 is stored separately according to the identification areas (Tabei reclamation area, Wensu reclamation area, Yanqi reclamation area, and Chepaizi reclamation area); similarly, the crop identification data set for 2022 is stored separately according to the identification areas (Chepaizi reclamation area, Shihezi reclamation area, Markit reclamation area, Kunyu City, the Fourth Division in the western area, the western area of the Fifth Division, and Yumin reclamation area).Specifically, this data set provides 40 important characteristics such as the total number of years of cultivation, cultivation area, soil type, disease resistance, cold resistance, drought resistance, tolerance to poor soil, growth period, plant height, preceding and succeeding crops, and cultivation management methods for more than 100 varieties of annual crops planted in the Xinjiang Production and Construction Corps in China. The data has a daily time resolution and covers the years 2021 and 2022.
description: This data set is composed of two folders and nine data tables, with a time span from 2021 to 2022. The crop identification data set for 2021 is stored separately according to the identification areas (Tabei reclamation area, Wensu reclamation area, Yanqi reclamation area, and Chepaizi reclamation area); similarly, the crop identification data set for 2022 is stored separately according to the identification areas (Chepaizi reclamation area, Shihezi reclamation area, Markit reclamation area, Kunyu City, the Fourth Division in the western area, the western area of the Fifth Division, and Yumin reclamation area).Specifically, this data set provides 40 important characteristics such as the total number of years of cultivation, cultivation area, soil type, disease resistance, cold resistance, drought resistance, tolerance to poor soil, growth period, plant height, preceding and succeeding crops, and cultivation management methods for more than 100 varieties of annual crops planted in the Xinjiang Production and Construction Corps in China. The data has a daily time resolution and covers the years 2021 and 2022.
DOI: 10.15468/dl.c88h2f
title: Occurrence Download

description: A dataset containing 698 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-159.70289 22.20366,-159.81577 22.03187,-159.80368 21.96085,-159.50536 21.82619,-159.30783 21.89728,-159.26348 22.20739,-159.43683 22.27083,-159.70289 22.20366))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Schinus L., Lantana camara L., Casuarina L.)"
 ]
}

 The dataset includes 698 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001107-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.13652
title: IR-TSS (IR Traffic Scene simulation dataset)
title: IR-TSS (IR Traffic Scene simulation dataset)

description: IR Traffic Scene simulation dataset (IR-TSS) by collecting a large amount of simulated images.The dataset contains 7 different categories of objects such as people, cars, vans, motorcycles, bicycles, buses, trucks and more than 11,000 instances of objects. In order to ensure the diversity of imaging scales and angles for different traffic targets, the UAV captured simulated image data at 40 m, 70 m, 90 m, and 120 m heights in the Unreal Engine traffic scene at 90° and 60° viewing angles.
description: IR Traffic Scene simulation dataset (IR-TSS) by collecting a large amount of simulated images.The dataset contains 7 different categories of objects such as people, cars, vans, motorcycles, bicycles, buses, trucks and more than 11,000 instances of objects. In order to ensure the diversity of imaging scales and angles for different traffic targets, the UAV captured simulated image data at 40 m, 70 m, 90 m, and 120 m heights in the Unreal Engine traffic scene at 90° and 60° viewing angles.
DOI: 10.57760/sciencedb.13669
title: Nobiletin and CaSR
title: Nobiletin and CaSR

description: Microscopy images,Immunoblot,statistical data and Figures
description: Microscopy images,Immunoblot,statistical data and Figures
DOI: 10.57760/sciencedb.13671
title: Serum metabolome of 5XFAD model mice and parental wild-type mice
title: Serum metabolome of 5XFAD model mice and parental wild-type mice

description: 5XFAD model mice:A26.A83.A86Parental wild-type mice：A1.A2.A3Age: 3 months oldSample type: serumTest items: non-targeted metabolomics
description: 5XFAD model mice:A26.A83.A86Parental wild-type mice：A1.A2.A3Age: 3 months oldSample type: serumTest items: non-targeted metabolomics
DOI: 10.57760/sciencedb.13675
title: Lipidomic profiles of human milk and yak milk
title: Lipidomic profiles of human milk and yak milk

description: The raw mass spectrometry data were processed utilizing the ProteoWizard software, transforming them into the mzXML format. Subsequently, XCMS software was applied to refine the data through retention time correction, peak identification, extraction, integration, and alignment processes, applying a minimum threshold of 0.5 and a cutoff criterion of 0.6. For lipid identification, our laboratory's proprietary R package, built upon XCMS and integrated with the lipid blast database, was utilized. Milk lipids and fatty acids (FAs) were quantified in units of μg/mL and g/100 total FAs, respectively. Statistical analysis of variations across different mammalian milk samples was conducted using Student's t-test, with statistical significance determined at an alpha level of 0.05, implying that a p-value less than 0.05 signifies a significant difference in the data.
description: The raw mass spectrometry data were processed utilizing the ProteoWizard software, transforming them into the mzXML format. Subsequently, XCMS software was applied to refine the data through retention time correction, peak identification, extraction, integration, and alignment processes, applying a minimum threshold of 0.5 and a cutoff criterion of 0.6. For lipid identification, our laboratory's proprietary R package, built upon XCMS and integrated with the lipid blast database, was utilized. Milk lipids and fatty acids (FAs) were quantified in units of μg/mL and g/100 total FAs, respectively. Statistical analysis of variations across different mammalian milk samples was conducted using Student's t-test, with statistical significance determined at an alpha level of 0.05, implying that a p-value less than 0.05 signifies a significant difference in the data.
DOI: 10.57760/sciencedb.13678
title: Proteomic results of brain tissues of 5XFAD model mice and parental wild-type mice
title: Proteomic results of brain tissues of 5XFAD model mice and parental wild-type mice

description: 5XFAD model mice: A26, A68, A8Parental wild-type mice: A1, A2, A3Detection method: TMT-labeled protein groupPlease send data sharing requests to xnxyfysn@163.com
description: 5XFAD model mice: A26, A68, A8Parental wild-type mice: A1, A2, A3Detection method: TMT-labeled protein groupPlease send data sharing requests to xnxyfysn@163.com
DOI: 10.57760/sciencedb.13684
title: Fuel cell durability data under dynamic operating conditions
title: 动态工况下的燃料电池耐久性数据

description: For dynamically variable loads, a hierarchical extraction is performed to generate dataset 2 (quasi-dynamic loads), and dataset 3 is obtained using the CEEMDAN component decomposition in CPE. For the convenience of researchers, the original hierarchical data of dataset 2 has been uploaded. Researchers can perform various data preprocessing tasks based on this data.
description: For dynamically variable loads, a hierarchical extraction is performed to generate dataset 2 (quasi-dynamic loads), and dataset 3 is obtained using the CEEMDAN component decomposition in CPE. For the convenience of researchers, the original hierarchical data of dataset 2 has been uploaded. Researchers can perform various data preprocessing tasks based on this data.
DOI: 10.57760/sciencedb.13697
title: Improving time upscaling of instantaneous evapotranspiration based on machine learning models
title: Improving time upscaling of instantaneous evapotranspiration based on machine learning models

description: This dataset is derived from the paper "Improved Time Adjustment of Instantaneous Evapotranspiration Based on Machine Learning Models." It contains results of instantaneous evapotranspiration (ET) for training and evaluating models. The dataset includes two parts:Result data: ConDF.csv and ConEF+CorEF+ML.csvModel code: code.docx.These data can be used for further research and applications, aiming to enhance the estimation accuracy of instantaneous evapotranspiration and its potential applications in environmental science.
description: This dataset is derived from the paper "Improved Time Adjustment of Instantaneous Evapotranspiration Based on Machine Learning Models." It contains results of instantaneous evapotranspiration (ET) for training and evaluating models. The dataset includes two parts:Result data: ConDF.csv and ConEF+CorEF+ML.csvModel code: code.docx.These data can be used for further research and applications, aiming to enhance the estimation accuracy of instantaneous evapotranspiration and its potential applications in environmental science.
DOI: 10.57760/sciencedb.13705
title: High-value Patent Identification Dataset
title: 高价值专利识别数据集

description: The data is derived from Incopat, and is obtained by using the search formula "(AP-OR=(Chinese Academy of Sciences)) AND (AD=[20030101 TO 20221231])", with 10917 positive samples and 22652 negative samples. According to the IPC, there are three datasets, each divided into train, val, and test. Train is used for model training, val is used for model tuning, and test is used to evaluate model performance. The image data folder contains the abstract drawings of the patent. 
description: The data is derived from Incopat, and is obtained by using the search formula "(AP-OR=(Chinese Academy of Sciences)) AND (AD=[20030101 TO 20221231])", with 10917 positive samples and 22652 negative samples. According to the IPC, there are three datasets, each divided into train, val, and test. Train is used for model training, val is used for model tuning, and test is used to evaluate model performance. The image data folder contains the abstract drawings of the patent.
DOI: 10.57967/hf/5260
title: Deepfake-Unfiltered-30K
DOI: 10.57760/sciencedb.13711
title: N-Acetylcysteine Inhibits Coxsackievirus B3 Replication by Downregulating Eukaryotic Translation Elongation Factor 1 Alpha 1
title: N-Acetylcysteine Inhibits Coxsackievirus B3 Replication by Downregulating Eukaryotic Translation Elongation Factor 1 Alpha 1

description: Supplementary materials 
description: Supplementary materials
DOI: 10.57760/sciencedb.13712
title: A User-Friendly Fluorescent Biosensor for Precise Lactate Detection and Quantification In Vitro
title: A User-Friendly Fluorescent Biosensor for Precise Lactate Detection and Quantification In Vitro

description: The dataset provides all the charts and detailed data corresponding to the fluorescence imaging results in the maintext. It includes：Δ dihedral, ΔF/F of chimeras with different cpGFP insertion sites, emission spectra, dose-response curve, ΔF/F of various metabolites, time courses, dose-response curves at the indicated pH values, ΔF/F of different storage conditions and time, dose-response curve in cell-free medium, lactate concentration and cell viability at the indicated time, cell density and viability at the indicated time.
description: The dataset provides all the charts and detailed data corresponding to the fluorescence imaging results in the maintext. It includes：Δ dihedral, ΔF/F of chimeras with different cpGFP insertion sites, emission spectra, dose-response curve, ΔF/F of various metabolites, time courses, dose-response curves at the indicated pH values, ΔF/F of different storage conditions and time, dose-response curve in cell-free medium, lactate concentration and cell viability at the indicated time, cell density and viability at the indicated time.
DOI: 10.57760/sciencedb.13719
title: Construction of hierarchical NiMoO4/Ni-Co LDH nanocomposite for high-performance hybrid supercapacitors and alkaline zinc batteries
title: Construction of hierarchical NiMoO4/Ni-Co LDH nanocomposite for high-performance hybrid supercapacitors and alkaline zinc batteries

description: The construction of hierarchical micro/nanostructures as multicomponent electrodes presents a promising approach to address the issue of poor energy density in hybrid supercapacitors (HSC) and alkaline zinc-metal batteries (AZB). In this research, a novel hierarchical structure comprising NiMoO4 nanosheets adorned with Ni-Co layered double hydroxide (LDH) nanobundles was fabricated on carbon cloth utilizing a straightforward two-step hydrothermal method. Owing to the unique structure and the synergistic effects, the composite-coated electrode demonstrated superior performance when utilized as an anode in various energy storage devices. When paired with activated carbon in the HSC, it could achieve an energy output of 38 W h/kg and a maximum power of 7043 W/kg, and it sustained 80% of its capacitance after 5000 cycles. More importantly, when assembled with Zn flakes as the cathode in an AZB, it attained an extraordinary energy density of 519.7 W h/kg and an impressive power density of 16316 W/Kg. These results signify that the hierarchical NiMoO4/Ni-Co LDH nanocomposite holds considerable promise for applications in energy storage.
description: The construction of hierarchical micro/nanostructures as multicomponent electrodes presents a promising approach to address the issue of poor energy density in hybrid supercapacitors (HSC) and alkaline zinc-metal batteries (AZB). In this research, a novel hierarchical structure comprising NiMoO4 nanosheets adorned with Ni-Co layered double hydroxide (LDH) nanobundles was fabricated on carbon cloth utilizing a straightforward two-step hydrothermal method. Owing to the unique structure and the synergistic effects, the composite-coated electrode demonstrated superior performance when utilized as an anode in various energy storage devices. When paired with activated carbon in the HSC, it could achieve an energy output of 38 W h/kg and a maximum power of 7043 W/kg, and it sustained 80% of its capacitance after 5000 cycles. More importantly, when assembled with Zn flakes as the cathode in an AZB, it attained an extraordinary energy density of 519.7 W h/kg and an impressive power density of 16316 W/Kg. These results signify that the hierarchical NiMoO4/Ni-Co LDH nanocomposite holds considerable promise for applications in energy storage.
DOI: 10.57760/sciencedb.13722
title: Graphene/Amorphous MIL-101(Cr)-NH2 Double Layer Composite for Nonenzymatic Sweat Glucose Sensing by Voltammetry and Chronoamperometry
title: Graphene/Amorphous MIL-101(Cr)-NH2 Double Layer Composite for Nonenzymatic Sweat Glucose Sensing by Voltammetry and Chronoamperometry

description: The raw data for our manuscript
description: The raw data for our manuscript
DOI: 10.57760/sciencedb.13721
title: The regulation of cassava nanostarch structure treated with malt endogenous enzymes and loading behavior for anthocyanins
title: The regulation of cassava nanostarch structure treated with malt endogenous enzymes and loading behavior for anthocyanins

description: This study may provide new ideas for the green and efficient preparation of nanostarches and a promising activity delivery system.
description: This study may provide new ideas for the green and efficient preparation of nanostarches and a promising activity delivery system.