cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.j00113.00106
title: Relationship between components and properties of Sm-PMN-PT piezoelectric ceramics
title: Sm-PMN-PT压电陶瓷组分与性能之间的关系

description: Pb(Mg1/3Nb2/3)O3-PbTiO3 (PMN-PT) piezoelectric ceramics have excellent piezoelectric properties and are used in a wide range of applications. Adjusting the solid solution ratios of PMN/PT and different concentrations of elemental doping are the main methods to modulate their piezoelectric coefficients. The combination of these controllable conditions leads to an exponential increase of possible compositions in ceramics, which makes it not easy to extend the sample data by additional experimental or theoretical calculations. In this paper, a physics-embedded machine learning method is proposed to overcome the difficulties in obtaining piezoelectric coefficients and curie temperatures of Sm-doped PMN-PT ceramics with different components. In contrast to all-data-driven, physics-embedded machine learning is able to learn nonlinear variation rules based on small datasets through potential correlation between ferroelectric properties. Based on the model output, we have created a database through which we can quickly find the optimal composition of Sm-doped PMN-PT ceramics according to specific needs.The database includes the following for different components of Sm-PMN-PT ceramics: piezoelectric coefficient d33, curie temperature Tc, coercive electric field Ec, residual polarization strength Pr, dielectric constant e.
description: Pb(Mg1/3Nb2/3)O3-PbTiO3 (PMN-PT) piezoelectric ceramics have excellent piezoelectric properties and are used in a wide range of applications. Adjusting the solid solution ratios of PMN/PT and different concentrations of elemental doping are the main methods to modulate their piezoelectric coefficients. The combination of these controllable conditions leads to an exponential increase of possible compositions in ceramics, which makes it not easy to extend the sample data by additional experimental or theoretical calculations. In this paper, a physics-embedded machine learning method is proposed to overcome the difficulties in obtaining piezoelectric coefficients and curie temperatures of Sm-doped PMN-PT ceramics with different components. In contrast to all-data-driven, physics-embedded machine learning is able to learn nonlinear variation rules based on small datasets through potential correlation between ferroelectric properties. Based on the model output, we have created a database through which we can quickly find the optimal composition of Sm-doped PMN-PT ceramics according to specific needs.The database includes the following for different components of Sm-PMN-PT ceramics: piezoelectric coefficient d33, curie temperature Tc, coercive electric field Ec, residual polarization strength Pr, dielectric constant e.
DOI: 10.57760/sciencedb.09097
title: Temporal trend of Vigitel Brasil operation indicators (2006-2023) - Supplementary Material
title: Temporal trend of Vigitel Brasil operation indicators (2006-2023) - Supplementary Material

description: Tables presenting the eligibility rates, response rates, and refusal rates of Vigitel Brazil 2006-2023.
description: Tables presenting the eligibility rates, response rates, and refusal rates of Vigitel Brazil 2006-2023.
DOI: 10.57760/sciencedb.09099
title: NDACC-IWRG FTIR harmonized FTIR XHCFC-22 datasets
title: NDACC-IWRG FTIR harmonized FTIR XHCFC-22 datasets

description: It is the harmonized FTIR XHCFC-22 dataset at 16 FTIR sites.
description: It is the harmonized FTIR XHCFC-22 dataset at 16 FTIR sites.
DOI: 10.57760/sciencedb.09103
title: A dataset for the paper: Integrative analysis of cisplatin resistance-related transcriptome and methylome identified PCDHB4 as a novel prognostic biomarker in small cell lung cancer
title: A dataset for the paper: Integrative analysis of cisplatin resistance-related transcriptome and methylome identified PCDHB4 as a novel prognostic biomarker in small cell lung cancer

description: Here, we conducted Methylated DNA immuno-precipitation sequencing (MeDIP-seq) analysis on primary tumors and matched normal adjacent tissues obtained from patients with Small Cell Lung Cancer (SCLC). Additionally, MeDIP-seq analysis was performed on blood samples collected before treatment and at recurrence in SCLC patients.
description: Here, we conducted Methylated DNA immuno-precipitation sequencing (MeDIP-seq) analysis on primary tumors and matched normal adjacent tissues obtained from patients with Small Cell Lung Cancer (SCLC). Additionally, MeDIP-seq analysis was performed on blood samples collected before treatment and at recurrence in SCLC patients.
DOI: 10.57760/sciencedb.space.00639
title: Data of paper: Neutron Induced Single Event Functional Interruption in COTS Solid State Drives
title: Data of paper: Neutron Induced Single Event Functional Interruption in COTS Solid State Drives

description: This dataset was generated when solid-state drives (SSDs) were subjected to a wide-spectrum neutron irradiation. Each SSD was exposed to neutron radiation environment until functional interruption was recorded. The log files detail each event's timestamp, error codes, DRAM error distribution and types, NAND errors and types, and other diagnostic information.Python scripts were used to batch parse the relevant log files and extract entries based on specific conditions. The scripts identify log entries that contain specific error codes and diagnostic details (error types, specific die codes, and page numbers).This dataset can be used to study the impact of neutron radiation on SSD reliability. Applications include:Investigating the causes of SSD functional interruptions.Identifying SSD components that are vulnerable to radiation, such as DRAM and NAND flash memory.Developing strategies to enhance SSD resilience against radiation.By providing detailed behavior logs of SSDs under neutron radiation, this dataset supports research in the design and reliability of future storage devices in high-radiation environments.
description: This dataset was generated when solid-state drives (SSDs) were subjected to a wide-spectrum neutron irradiation. Each SSD was exposed to neutron radiation environment until functional interruption was recorded. The log files detail each event's timestamp, error codes, DRAM error distribution and types, NAND errors and types, and other diagnostic information.Python scripts were used to batch parse the relevant log files and extract entries based on specific conditions. The scripts identify log entries that contain specific error codes and diagnostic details (error types, specific die codes, and page numbers).This dataset can be used to study the impact of neutron radiation on SSD reliability. Applications include:Investigating the causes of SSD functional interruptions.Identifying SSD components that are vulnerable to radiation, such as DRAM and NAND flash memory.Developing strategies to enhance SSD resilience against radiation.By providing detailed behavior logs of SSDs under neutron radiation, this dataset supports research in the design and reliability of future storage devices in high-radiation environments.
DOI: 10.57760/sciencedb.09121
title: JCL XCO2 Dataset V1.0
title: JCL XCO2 Dataset V1.0

description: The JCL XCO2 dataset is a global gridded dataset that provides XCO2 (column-averaged dry-air mole fraction of CO2) measurements at a spatial resolution of 0.1 degrees and a temporal resolution of 3 hours. This dataset covers the period from 2014 to 2020 and was created using data-driven approaches by combining model outputs and satellite observations.
description: The JCL XCO2 dataset is a global gridded dataset that provides XCO2 (column-averaged dry-air mole fraction of CO2) measurements at a spatial resolution of 0.1 degrees and a temporal resolution of 3 hours. This dataset covers the period from 2014 to 2020 and was created using data-driven approaches by combining model outputs and satellite observations.
DOI: 10.57760/sciencedb.j00001.00868
title: A daily average dataset of temperature and salinity based on No. 23 buoy Qinhuangdao offshore during 2021–2023
title: 2021–2023年秦皇岛近海23号浮标温盐观测日均值数据集

description: In order to effectively prevent the frequent occurrence of various ecological disasters in the offshore waters of Qinhuangdao, such as red tide, green tide and jellyfish bloom, with the help of the Yellow and Dong Sea Station of the China Offshore Ocean Observation and Research Network, the Institute of Oceanology of the Chinese Academy of Sciences, deployed an integrated observation system of six-meter anchor buoy (No. 23) in the coastal waters near Qinhuangdao (39º40.88΄N，119º35.53΄E), Bohai Sea at the end of April 2021. Up to now, real-time observation data are still being collected and stored continuously. Among them, temperature and salinity, as important marine environmental factors, are of great significance for in-depth understanding of the characteristics of the sea area and marine ecological environment. In order to make better use of these valuable observational data, based on the time series data of the sea surface temperature and salinity of buoy No. 23 from May 2021 to April 2023, this paper adopted statistical methods for data preprocessing and quality control, and made a dataset of daily mean temperature and salinity for 24 consecutive months. This dataset can be used for the application download service of researchers, as well as for the development of local marine economy, fishery and tourism.
description: In order to effectively prevent the frequent occurrence of various ecological disasters in the offshore waters of Qinhuangdao, such as red tide, green tide and jellyfish bloom, with the help of the Yellow and Dong Sea Station of the China Offshore Ocean Observation and Research Network, the Institute of Oceanology of the Chinese Academy of Sciences, deployed an integrated observation system of six-meter anchor buoy (No. 23) in the coastal waters near Qinhuangdao (39º40.88΄N，119º35.53΄E), Bohai Sea at the end of April 2021. Up to now, real-time observation data are still being collected and stored continuously. Among them, temperature and salinity, as important marine environmental factors, are of great significance for in-depth understanding of the characteristics of the sea area and marine ecological environment. In order to make better use of these valuable observational data, based on the time series data of the sea surface temperature and salinity of buoy No. 23 from May 2021 to April 2023, this paper adopted statistical methods for data preprocessing and quality control, and made a dataset of daily mean temperature and salinity for 24 consecutive months. This dataset can be used for the application download service of researchers, as well as for the development of local marine economy, fishery and tourism.
DOI: 10.57760/sciencedb.09126
title: ENA simulation data
title: ENA simulation data

description: The uploaded simulation data is managed in subfolders.
description: The uploaded simulation data is managed in subfolders.
DOI: 10.15468/dl.hsssnw
title: Occurrence Download

description: A dataset containing 2091 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is one of (United States of America, Mexico)",
 "OccurrenceStatus is Present",
 "TaxonKey is Lonicera subspicata Hook. & Arn."
 ]
}

 The dataset includes 2091 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001005-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.09127
title: Relevant data of listed companies in China's automobile manufacturing industry from 2018 to 2022
title: 中国汽车制造业上市公司2018-2022年相关数据

description: ESG and relevant date
description: ESG and relevant date
DOI: 10.15468/dl.e56cud
title: Occurrence Download

description: A dataset containing 13952 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anodorhynchus hyacinthinus (Latham, 1790)"
 ]
}

 The dataset includes 13952 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001000-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.j00213.00023
title: The data of the article “Left-handed polarized spin waves induced by spin polarized electric currents in ferromagnetic domain walls”
title: 《铁磁畴壁中自旋极化电流诱导的左旋极化自旋波》文章关联数据

description: This dataset contains the relevant data of Figures 2 and 3 of the article "Three-dimensional numerical simulation of particle separation using a dusty plasma ratchet". Fig [Figure number] _m-relax represents the data of the equilibrium state of the normalized magnetization vector corresponding to the figure number, Fig [Figure number] _my is the spin wave excited state data of the normalized magnetization vector y component at the center of the domain wall corresponding to the figure number for a certain time period. Each row corresponds to the time, and each column corresponds to the spatial position x. The first column represents the time sequence numbers 1, 2, 3, ···. The time period corresponding to the data in Figure 2 is 50 ns, with a time interval of 50 ps. The time period corresponding to the data in Figure 2 is 50 ns, with a time interval of 10 ps. The data is applicable to Matlab software. 
description: This dataset contains the relevant data of Figures 2 and 3 of the article "Three-dimensional numerical simulation of particle separation using a dusty plasma ratchet". Fig [Figure number] _m-relax represents the data of the equilibrium state of the normalized magnetization vector corresponding to the figure number, Fig [Figure number] _my is the spin wave excited state data of the normalized magnetization vector y component at the center of the domain wall corresponding to the figure number for a certain time period. Each row corresponds to the time, and each column corresponds to the spatial position x. The first column represents the time sequence numbers 1, 2, 3, ···. The time period corresponding to the data in Figure 2 is 50 ns, with a time interval of 50 ps. The time period corresponding to the data in Figure 2 is 50 ns, with a time interval of 10 ps. The data is applicable to Matlab software.
DOI: 10.57760/sciencedb.09118
title: 惠州市薯田2023年宏基因组数据集
title: 惠州市薯田2023年宏基因组数据集

description: 惠州市薯田2023年宏基因组数据集
description: 惠州市薯田2023年宏基因组数据集
DOI: 10.57760/sciencedb.09162
title: Figures of paper
title: Figures of paper

description: Six figures of "Deep learning for light scattering computation: Reconstructing light scattering fields from 1-D randomly rough surfaces as an example"
description: Six figures of "Deep learning for light scattering computation: Reconstructing light scattering fields from 1-D randomly rough surfaces as an example"
DOI: 10.57760/sciencedb.09165
title: time-power curve
title: 时间-功率曲线

description: This dataset mainly displays the time-power curve after redistributing the original waveform of the Double-Cone Ignition Facility. 
description: This dataset mainly displays the time-power curve after redistributing the original waveform of the Double-Cone Ignition Facility.
DOI: 10.57760/sciencedb.j00186.00168
title: Dataset of performance with simulation and reconstruction studies of CEPC drift chamber
title: Dataset of performance with simulation and reconstruction studies of CEPC drift chamber

description: The data is generated with CEPC offline software and Whizard generator.The data is showing performance versus pt or costheta of the particle/tracks. Each row shows results for a particular pt or costheta.The meaning of the data is shown in the first row of each file starting with unit.
description: The data is generated with CEPC offline software and Whizard generator.The data is showing performance versus pt or costheta of the particle/tracks. Each row shows results for a particular pt or costheta.The meaning of the data is shown in the first row of each file starting with unit.
DOI: 10.57760/sciencedb.09171
title: database of paper
title: database of paper

description: Roadmap on chaos‑inspired imaging technologies (CI2‑Tech) database
description: Roadmap on chaos‑inspired imaging technologies (CI2‑Tech) database
DOI: 10.57760/sciencedb.09149
title: Prompt Fission Neutron Uranium Logging(I): Theory of uranium quantification methods
title: Prompt Fission Neutron Uranium Logging(I): Theory of uranium quantification methods

description: 1、The dataset includes actual test data chart from neutron loggers in standard uranium model wells.2、Including quantitative data of the uranium measurement method proposed in this paper.3、Including the relevant data of MCNP simulation.4、Related data of each chart.
description: 1、The dataset includes actual test data chart from neutron loggers in standard uranium model wells.2、Including quantitative data of the uranium measurement method proposed in this paper.3、Including the relevant data of MCNP simulation.4、Related data of each chart.
DOI: 10.57760/sciencedb.09175
title: Light-sheet light-field fluorescence microscopy
title: Light-sheet light-field fluorescence microscopy

description: Light-sheet light-field fluorescence microscopy database
description: Light-sheet light-field fluorescence microscopy database
DOI: 10.57760/sciencedb.09177
title: Dataset of Paper
title: Dataset of Paper

description: Primary figures of "Hybrid-Convolution-Based Reconstruction for Limited-View EmissionSpectrum Tomography"
description: Primary figures of "Hybrid-Convolution-Based Reconstruction for Limited-View EmissionSpectrum Tomography"
DOI: 10.57760/sciencedb.09179
title: Single-shot noninvasive imaging through scattering medium under white-light illumination
title: Single-shot noninvasive imaging through scattering medium under white-light illumination

description: Single-shot noninvasive imaging through scattering medium under white-light illumination database
description: Single-shot noninvasive imaging through scattering medium under white-light illumination database
DOI: 10.57760/sciencedb.09183
title: Research data for "Superconducting quantum computing optimisation based on multi-objective deep reinforcement learning".
title: Research data for "Superconducting quantum computing optimisation based on multi-objective deep reinforcement learning".

description: Intermediate data for the optimisation algorithm is generated, which consists of two parts: a set of gate optimisation parameters and a dataset of test results optimised using these parameters.
description: Intermediate data for the optimisation algorithm is generated, which consists of two parts: a set of gate optimisation parameters and a dataset of test results optimised using these parameters.
DOI: 10.57760/sciencedb.j00139.00059
title: RNA-seq of zebrafish foxl2l mutant
title: RNA-seq of zebrafish foxl2l mutant

description: Bulk-seq of zebrafish foxl2l mutant at 15 dpf and 20 dpf. Each time point contain 3 heterozygote and 3 homozygote.
description: Bulk-seq of zebrafish foxl2l mutant at 15 dpf and 20 dpf. Each time point contain 3 heterozygote and 3 homozygote.
DOI: 10.57760/sciencedb.09184
title: Food safety online public opinion event dataset
title: 食品安全网络舆情事件数据集

description: A dataset for food cybersecurity public opinion events 
description: A dataset for food cybersecurity public opinion events
DOI: 10.57760/sciencedb.09192
title: Mitigating intubation stress, mucosa injury, and inflammatory response in nasogastric tube intubation via suppression of NF-κB signaling pathway by engineering hydration lubrication coating
title: Mitigating intubation stress, mucosa injury, and inflammatory response in nasogastric tube intubation via suppression of NF-κB signaling pathway by engineering hydration lubrication coating

description: The data was generated by Origin and GraphPad Prism.The data are expressed as the means ± standard deviations (SD). Each experiment was repeated at least 3 times. Statistical analysis was performed by using Student’s t-test for one-tailed distributions withan unequal variance where applicable. For comparisons between two or more groups, analysis of variance was used. Repeated measures analysis of variance was used to measure indicators at different time points. Significance was assigned to p &lt; 0.05.
description: The data was generated by Origin and GraphPad Prism.The data are expressed as the means ± standard deviations (SD). Each experiment was repeated at least 3 times. Statistical analysis was performed by using Student’s t-test for one-tailed distributions withan unequal variance where applicable. For comparisons between two or more groups, analysis of variance was used. Repeated measures analysis of variance was used to measure indicators at different time points. Significance was assigned to p &lt; 0.05.
DOI: 10.57760/sciencedb.09197
title: Effect of body Condition Score Loss during the transition period on metabolism, milk yield, and health in Holstein cows
title: Effect of body Condition Score Loss during the transition period on metabolism, milk yield, and health in Holstein cows

description: 本研究旨在调查围产期 BCS 缺失对奶牛产后性能和健康结果的影响。随机选择156头奶牛，在产犊后-21天、0天、7天、14天、21天、28天和50天采集血样。这些奶牛基于过渡期间的身体状况评分 （BCS） 损失：维持 BCS 损失组（M，0 &lt; BCS 损失 ≤ 0.25）、低 BCS 损失组（L，0.25 &lt; BCS 损失 ≤ 0.5）和高 BCS 损失组（H，BCS 损失 &gt; 0.5）。H、M和L组的BCS下降（P &lt; 0.01）。此外，与M组和L组相比，H组奶牛的非酯化脂肪酸、β-羟基丁酸、总胆固醇、天冬氨酸氨基转移酶、白蛋白、丙二醛和瘦素（P &lt; 0.05）水平更高。相反，与M组和L组相比，H组的总抗氧化能力以及胰岛素和葡萄糖水平显着降低（P &lt;0.05）。血浆中矿物质、尿素氮和总胆红素浓度不受BCS丢失的显著影响（P &gt; 0.05）。此外，与H组相比，M组的奶牛患病的可能性较小。然而，H组奶牛的产奶量低于M组和L组的奶牛（P &lt; 0.05）。这些观察结果共同表明，BCS损失与过渡期能量平衡、肝功能、氧化应激、产奶量和疾病发病率的可测量变化有关。
description: 本研究旨在调查围产期 BCS 缺失对奶牛产后性能和健康结果的影响。随机选择156头奶牛，在产犊后-21天、0天、7天、14天、21天、28天和50天采集血样。这些奶牛基于过渡期间的身体状况评分 （BCS） 损失：维持 BCS 损失组（M，0 &lt; BCS 损失 ≤ 0.25）、低 BCS 损失组（L，0.25 &lt; BCS 损失 ≤ 0.5）和高 BCS 损失组（H，BCS 损失 &gt; 0.5）。H、M和L组的BCS下降（P &lt; 0.01）。此外，与M组和L组相比，H组奶牛的非酯化脂肪酸、β-羟基丁酸、总胆固醇、天冬氨酸氨基转移酶、白蛋白、丙二醛和瘦素（P &lt; 0.05）水平更高。相反，与M组和L组相比，H组的总抗氧化能力以及胰岛素和葡萄糖水平显着降低（P &lt;0.05）。血浆中矿物质、尿素氮和总胆红素浓度不受BCS丢失的显著影响（P &gt; 0.05）。此外，与H组相比，M组的奶牛患病的可能性较小。然而，H组奶牛的产奶量低于M组和L组的奶牛（P &lt; 0.05）。这些观察结果共同表明，BCS损失与过渡期能量平衡、肝功能、氧化应激、产奶量和疾病发病率的可测量变化有关。
DOI: 10.5281/zenodo.15291865
title: austrolebias_minuano_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.15291866
title: austrolebias_minuano_decontaminated_FSCR.fasta.gz