cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.13383
title: The 3D morphological structure of Aspidella preserved in siliceous rock, Qingzhen, Guizhou province, China
title: 中国贵州清镇硅质岩中保存的Aspidella化石的三维结构形态

description: The 3D morphological structure of Aspidella preserved in siliceous rock, Qingzhen, Guizhou province, China. Aspidella's relief castings are characterized by concentric rings and central bulges, QA-R-02, QA-R-10, QA-R-15. The release form of Aspidella is characterized by concentric ring folds and central depressions, QA-I-05, QA-I-19, QA-I-03. All the specimens are housed at the Guizhou Research Center for Palaeontology (GRCP).
description: The 3D morphological structure of Aspidella preserved in siliceous rock, Qingzhen, Guizhou province, China. Aspidella's relief castings are characterized by concentric rings and central bulges, QA-R-02, QA-R-10, QA-R-15. The release form of Aspidella is characterized by concentric ring folds and central depressions, QA-I-05, QA-I-19, QA-I-03. All the specimens are housed at the Guizhou Research Center for Palaeontology (GRCP).
DOI: 10.57760/sciencedb.13384
title: plug-and-play positioning error compensation model for ripple suppressing in industrial robot polishing
title: 工业机器人抛光中抑制纹波的即插即用定位误差补偿模型

description: Industrial robot-based polisher has wide applications in the field of optical manufacturing due to the advantage of low cost, high degrees of freedom and high dynamic performance. However, the large positioning error of the industrial robot can lead to surface ripple and seriously restrict the system performance; however, this error can only be inefficiently compensated by measurement before each processing at present. To address this problem, we discovered the period-phase evolution law of positioning error and established a double sine function compensation model. In the self-developed robotic polishing platform, the results show that the Z-axis error in the whole workspace after compensation can be reduced to ±0.06mm, which reaches the robot repetitive positioning error level; the Spearman correlation coefficients between the measurement and modeling errors are all above 0.88. In the practical polishing experiments, for both figuring and uniform polishing, the ripple error introduced by positioning error is significantly suppressed by proposed model under different conditions. Besides, the Power Spectral Density (PSD) analysis has shown a significant suppression in the corresponding frequency error. This model gives an efficient plug-and-play compensation mode for robotic polisher, which provides new possibilities for further improving robotic processing accuracy and efficiency.
description: Industrial robot-based polisher has wide applications in the field of optical manufacturing due to the advantage of low cost, high degrees of freedom and high dynamic performance. However, the large positioning error of the industrial robot can lead to surface ripple and seriously restrict the system performance; however, this error can only be inefficiently compensated by measurement before each processing at present. To address this problem, we discovered the period-phase evolution law of positioning error and established a double sine function compensation model. In the self-developed robotic polishing platform, the results show that the Z-axis error in the whole workspace after compensation can be reduced to ±0.06mm, which reaches the robot repetitive positioning error level; the Spearman correlation coefficients between the measurement and modeling errors are all above 0.88. In the practical polishing experiments, for both figuring and uniform polishing, the ripple error introduced by positioning error is significantly suppressed by proposed model under different conditions. Besides, the Power Spectral Density (PSD) analysis has shown a significant suppression in the corresponding frequency error. This model gives an efficient plug-and-play compensation mode for robotic polisher, which provides new possibilities for further improving robotic processing accuracy and efficiency.
DOI: 10.57760/sciencedb.13418
title: Differences in Attentional Function Between Experienced Mindfulness Meditators and the Controls
title: 有经验正念冥想者和对照组之间的注意功能差异

description: This data includes the Mindfulness Attention Awareness Questionnaire scores, Oddball task behavior data, and EEG data of 16 mindfulness meditators and 18 inexperienced individuals 
description: This data includes the Mindfulness Attention Awareness Questionnaire scores, Oddball task behavior data, and EEG data of 16 mindfulness meditators and 18 inexperienced individuals
DOI: 10.57760/sciencedb.13422
title: Compact hyperspectral imaging of extreme-depth-of-field diffractive lenses based on spatial–spectral sparse deep learning
title: Compact hyperspectral imaging of extreme-depth-of-field diffractive lenses based on spatial–spectral sparse deep learning

description: Diffractive optics design methodology for hyperspectral imaging systems for depth-of-field expansion, modeling of recovery networks, and imaging simulation and experimental results.
description: Diffractive optics design methodology for hyperspectral imaging systems for depth-of-field expansion, modeling of recovery networks, and imaging simulation and experimental results.
DOI: 10.57760/sciencedb.13426
title: DEB & DEA Survey Data
title: DEB & DEA Survey Data

description: The software PSPP was utilized to clean the data as well as for correlational analysis. Missing data points within a variable were replaced with mean scores from that variable, n=88. Missing data points were replaced with the mean for that measure instead of using an invalid response, because there were not major outliers in the data set, which means that the mean is preserved, and the SDs will be reduced minimally (Lang & Little, 2018). Thus, with a very low number of missing data points being replaced by the mean, the SD should not be impacted significantly. All items were internally reliable.Given the multiple statistical comparisons utilized, a Bonferroni correction was used to prevent any Type 1 errors. Each test was designed to a p=.05 and a one-tailed t-test. The significant level following the correction was pnew=.016. For the power analysis conducted, a SD of 1.13 was identified. A power level of 90% with a 0.05 significance level was selected for this study. While the standard deviation was utilized from a set of community norms where n=243 from the existing literature (Fairburn & Beglin 1994). A sample size of 54 was identified where each group is n=27. The sample for this research project exceeds the identified sample size in the power analysis leading to statistically significant data.
description: The software PSPP was utilized to clean the data as well as for correlational analysis. Missing data points within a variable were replaced with mean scores from that variable, n=88. Missing data points were replaced with the mean for that measure instead of using an invalid response, because there were not major outliers in the data set, which means that the mean is preserved, and the SDs will be reduced minimally (Lang & Little, 2018). Thus, with a very low number of missing data points being replaced by the mean, the SD should not be impacted significantly. All items were internally reliable.Given the multiple statistical comparisons utilized, a Bonferroni correction was used to prevent any Type 1 errors. Each test was designed to a p=.05 and a one-tailed t-test. The significant level following the correction was pnew=.016. For the power analysis conducted, a SD of 1.13 was identified. A power level of 90% with a 0.05 significance level was selected for this study. While the standard deviation was utilized from a set of community norms where n=243 from the existing literature (Fairburn & Beglin 1994). A sample size of 54 was identified where each group is n=27. The sample for this research project exceeds the identified sample size in the power analysis leading to statistically significant data.
DOI: 10.57760/sciencedb.13434
title: TM Wide-targeted metabolome analysis
title: TM Wide-targeted metabolome analysis

description: 本项目选取8个样本，分为8组进行代谢研究。首先，采用非靶向代谢组学技术对混合样品中的代谢物进行检测和鉴定;然后，将这些代谢物与Metaware自主研发的代谢组学数据库相结合，基于广靶向代谢组学技术进行代谢分析。共检测到1369种代谢物。结合基于UPLC-MS/MS的检测平台、自建数据库和多变量统计分析，研究样品间代谢组学差异。In this project, 8 samples were selected and divided into 8 groups for metabolic study. Firstly, the metabolites in the mixed samples were detected and identified using non-targeted metabolomics technology; then, these metabolites were combined with Metaware's self-developed metabolomics database for metabolic analyses based on broad-targeted metabolomics technology. A total of 1369 metabolites were detected. The metabolomics differences between samples were investigated by combining the UPLC-MS/MS-based detection platform, the self-constructed database and multivariate statistical analysis.
description: 本项目选取8个样本，分为8组进行代谢研究。首先，采用非靶向代谢组学技术对混合样品中的代谢物进行检测和鉴定;然后，将这些代谢物与Metaware自主研发的代谢组学数据库相结合，基于广靶向代谢组学技术进行代谢分析。共检测到1369种代谢物。结合基于UPLC-MS/MS的检测平台、自建数据库和多变量统计分析，研究样品间代谢组学差异。In this project, 8 samples were selected and divided into 8 groups for metabolic study. Firstly, the metabolites in the mixed samples were detected and identified using non-targeted metabolomics technology; then, these metabolites were combined with Metaware's self-developed metabolomics database for metabolic analyses based on broad-targeted metabolomics technology. A total of 1369 metabolites were detected. The metabolomics differences between samples were investigated by combining the UPLC-MS/MS-based detection platform, the self-constructed database and multivariate statistical analysis.
DOI: 10.15468/dl.35hdeq
title: Occurrence Download

description: A dataset containing 315083 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Louisiana State University, Shirley C. Tucker Herbarium - Vascular Plants"
 ]
}

 The dataset includes 315083 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000857-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8yy2bz
title: Occurrence Download

description: A dataset containing 6200 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Capito hypoleucus Salvin, 1897"
 ]
}

 The dataset includes 6200 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000855-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.j00140.00027
title: Raw data of the emission characteristics of NH3/DME flames in a fuel staging combustor
title: 氨/二甲醚燃料分级燃烧排放特性原始数据

description: This dataset contains the raw data for the article " A study on emission characteristics of NH3/DME flames in a fuel staging combustor "
description: This dataset contains the raw data for the article " A study on emission characteristics of NH3/DME flames in a fuel staging combustor "
DOI: 10.57760/sciencedb.j00186.00322
title: BL02U1: The Relocated Macromolecular Crystallography Beamline at the Shanghai Synchrotron Radiation Facility
title: BL02U1: The Relocated Macromolecular Crystallography Beamline at the Shanghai Synchrotron Radiation Facility

description: Macromolecular crystallography beamline BL17U1 at the Shanghai Synchrotron Radiation Facility has been relocated, upgraded, and given a new ID (BL02U1). It now delivers X-rays in the energy range of 6–16 keV, with a focused beam of 11.6 µm × 4.8 µm and photon flux greater than 1012 phs/s. The high credibility and stability of the beam and good timing synchronization of the equipment significantly improve the experimental efficiency. Since June 2021, when it officially opened to users, over 4200 h of beamtime have been provided to over 200 research groups to collect data at the beamline. Its good performance and stable operation have led to the resolution of several structures based on data collected at the beamline.
description: Macromolecular crystallography beamline BL17U1 at the Shanghai Synchrotron Radiation Facility has been relocated, upgraded, and given a new ID (BL02U1). It now delivers X-rays in the energy range of 6–16 keV, with a focused beam of 11.6 µm × 4.8 µm and photon flux greater than 1012 phs/s. The high credibility and stability of the beam and good timing synchronization of the equipment significantly improve the experimental efficiency. Since June 2021, when it officially opened to users, over 4200 h of beamtime have been provided to over 200 research groups to collect data at the beamline. Its good performance and stable operation have led to the resolution of several structures based on data collected at the beamline.
DOI: 10.57760/sciencedb.13438
title: RNA-sequencing reads for Bacillus sp. LX1
title: RNA-sequencing reads for Bacillus sp. LX1

description: RNA-sequencing reads for Bacillus sp. LX1 under 0 (Cd0), 5 (Cd5), and 25 (Cd25) mg/L Cd treatment.
description: RNA-sequencing reads for Bacillus sp. LX1 under 0 (Cd0), 5 (Cd5), and 25 (Cd25) mg/L Cd treatment.
DOI: 10.57760/sciencedb.13441
title: Structural stability design of optical mirror mount adjustment mechanism
title: Structural stability design of optical mirror mount adjustment mechanism

description: The stability of beam pointing in a laser system depends on the consistency of the optical mirror mount. Typically, a locking mechanism is used to secure the adjustment mechanism after beam alignment, ensuring the mount's stability. However, this process can introduce errors, causing a drift in the optical path. To mitigate this issue, in this study, an interference fit adjustment screw was designed. This development enables the mechanism to self-lock after beam alignment, thereby preventing optical path drift and enhancing overall stability. Specifically, 14 long-term thermal shock stability tests, each lasting 2500 min, were conducted to validate the proposed design. The experimental results showed that the thermal drift of the interference fit adjustment screw was reduced by 47.16%, thermal shift was reduced by 79.59%, and the long-term stability improved by at least 48.67%.
description: The stability of beam pointing in a laser system depends on the consistency of the optical mirror mount. Typically, a locking mechanism is used to secure the adjustment mechanism after beam alignment, ensuring the mount's stability. However, this process can introduce errors, causing a drift in the optical path. To mitigate this issue, in this study, an interference fit adjustment screw was designed. This development enables the mechanism to self-lock after beam alignment, thereby preventing optical path drift and enhancing overall stability. Specifically, 14 long-term thermal shock stability tests, each lasting 2500 min, were conducted to validate the proposed design. The experimental results showed that the thermal drift of the interference fit adjustment screw was reduced by 47.16%, thermal shift was reduced by 79.59%, and the long-term stability improved by at least 48.67%.
DOI: 10.57760/sciencedb.13446
title: A Synthetic CAD Models Dataset for Deep Learning
title: 基于特征造型的合成CAD模型数据集

description: 3D reconstruction is a significant research topic in the field of Computer-Aided Design (CAD), which is used to recover editable CAD models from original shapes, including point clouds, voxels, meshes, or boundary representations (B-rep). In recent years, deep learning methods (DL) have exhibited significant potential in the field of CAD, but there is currently a lack of large-scale CAD model datasets that support deep learning for parametrized feature-based modeling. Therefore, we synthesized a large-scale dataset containing one million CAD designs to provide labeled CAD model data for supervised training in relevant deep learning tasks.We employed a random synthesis algorithm to generate CAD models and documented the corresponding feature-based modeling processes, including principal primitives (cuboids, prisms, cylinders, cones, and spheres) and detail features (slots, semi-circular slots, through-holes, steps, fillets, chamfers, etc.). For each CAD model in the dataset, we provided four types of data files: a STEP file recording the 3D shape of the CAD model (compliant with ISO 10303-21 and GB/T 16656 standards), a JSON file recording the parametric feature modeling process (compliant with ECMA-404 and ISO/IEC 21778:2017 standards), a B-Rep graph representation file for CAD models (with a .bin suffix, in the format of the open-source graph neural network framework Deep Graph Library), and three-dimensional isometric side views of the CAD model.
description: 3D reconstruction is a significant research topic in the field of Computer-Aided Design (CAD), which is used to recover editable CAD models from original shapes, including point clouds, voxels, meshes, or boundary representations (B-rep). In recent years, deep learning methods (DL) have exhibited significant potential in the field of CAD, but there is currently a lack of large-scale CAD model datasets that support deep learning for parametrized feature-based modeling. Therefore, we synthesized a large-scale dataset containing one million CAD designs to provide labeled CAD model data for supervised training in relevant deep learning tasks.We employed a random synthesis algorithm to generate CAD models and documented the corresponding feature-based modeling processes, including principal primitives (cuboids, prisms, cylinders, cones, and spheres) and detail features (slots, semi-circular slots, through-holes, steps, fillets, chamfers, etc.). For each CAD model in the dataset, we provided four types of data files: a STEP file recording the 3D shape of the CAD model (compliant with ISO 10303-21 and GB/T 16656 standards), a JSON file recording the parametric feature modeling process (compliant with ECMA-404 and ISO/IEC 21778:2017 standards), a B-Rep graph representation file for CAD models (with a .bin suffix, in the format of the open-source graph neural network framework Deep Graph Library), and three-dimensional isometric side views of the CAD model.
DOI: 10.57760/sciencedb.13449
title: Whole genome sequence datasets of Salmonella enterica serovar Saintpaul ST50 and serovar Worthington ST592 strains isolated from the raw milk in Brazil
title: Whole genome sequence datasets of Salmonella enterica serovar Saintpaul ST50 and serovar Worthington ST592 strains isolated from the raw milk in Brazil

description: Genome annotation information of Salmonella enterica subsp. enterica serovars Saintpaul ST50 and Worthington ST592 isolated from raw milk samples in Northeastern Brazil. The genome sequences are hosted in a specialized public repository. Salmonella enterica subsp. enterica serovar Saintpaul ST50: Bioproject Accession Number: PRJNA593524.NCBI GenBank Accession Number: JAHPIQ000000000.2.NCBI BioSample Accession Number: SAMN19730533. Salmonella enterica subsp. enterica serovar Worthington ST592:Bioproject Accession Number: PRJNA593524.NCBI GenBank Accession Number: JAHPIR000000000.2.NCBI BioSample Accession Number: SAMN19730733. Direct URL to data: https://www.ncbi.nlm.nih.gov/nuccore/JAHPIQ000000000 and https://www.ncbi.nlm.nih.gov/nuccore/JAHPIR000000000.
description: Genome annotation information of Salmonella enterica subsp. enterica serovars Saintpaul ST50 and Worthington ST592 isolated from raw milk samples in Northeastern Brazil. The genome sequences are hosted in a specialized public repository. Salmonella enterica subsp. enterica serovar Saintpaul ST50: Bioproject Accession Number: PRJNA593524.NCBI GenBank Accession Number: JAHPIQ000000000.2.NCBI BioSample Accession Number: SAMN19730533. Salmonella enterica subsp. enterica serovar Worthington ST592:Bioproject Accession Number: PRJNA593524.NCBI GenBank Accession Number: JAHPIR000000000.2.NCBI BioSample Accession Number: SAMN19730733. Direct URL to data: https://www.ncbi.nlm.nih.gov/nuccore/JAHPIQ000000000 and https://www.ncbi.nlm.nih.gov/nuccore/JAHPIR000000000.
DOI: 10.15468/dl.ngr2sm
title: Occurrence Download

description: A dataset containing 313000 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Oskarshamn herbarium (OHN)"
 ]
}

 The dataset includes 313000 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000856-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.13458
title: Spatial distribution of Shannon Index in Sanjiangyuan National Park (2015, 2020)
title: 三江源国家公园香农多样性指数空间分布（2015、2020）

description: The Shannon Diversity Index is a measurement index based on information theory. When analyzing and comparing the diversity and heterogeneity changes of different landscapes or different periods of the same landscape, the Shannon Diversity Index is an important indicator that reflects landscape heterogeneity and is sensitive to the uneven distribution of various patch types in the landscape, emphasizing the contribution of rare patch types to information. Analyzing the Shannon diversity index within the Sanjiangyuan National Park can reflect the ecological integrity situation. This dataset is based on land use data (LUCC) and was calculated using the landscape pattern software Fragstats. The Shannon Diversity Index resolution of Sanjiangyuan National Park in 2015 and 2020 was 100m. 
description: The Shannon Diversity Index is a measurement index based on information theory. When analyzing and comparing the diversity and heterogeneity changes of different landscapes or different periods of the same landscape, the Shannon Diversity Index is an important indicator that reflects landscape heterogeneity and is sensitive to the uneven distribution of various patch types in the landscape, emphasizing the contribution of rare patch types to information. Analyzing the Shannon diversity index within the Sanjiangyuan National Park can reflect the ecological integrity situation. This dataset is based on land use data (LUCC) and was calculated using the landscape pattern software Fragstats. The Shannon Diversity Index resolution of Sanjiangyuan National Park in 2015 and 2020 was 100m.
DOI: 10.57760/sciencedb.13459
title: CRP and PCT as predictive indicators for postoperative wound infection in elderly patients with open limb fractures
title: CRP and PCT as predictive indicators for postoperative wound infection in elderly patients with open limb fractures

description: A retrospective analysis was conducted on the medical records of 110 patients with open limb fractures admitted to our hospital from February 2019 to March 2021. The patients were divided into an infection group (n=28) and a non-infection group (n=82) based on whether they developed postoperative wound infection. The levels of CRP and PCT were compared between the two groups. The predictive value of CRP and PCT for postoperative wound infection was analyzed in patients with open limb fractures.
description: A retrospective analysis was conducted on the medical records of 110 patients with open limb fractures admitted to our hospital from February 2019 to March 2021. The patients were divided into an infection group (n=28) and a non-infection group (n=82) based on whether they developed postoperative wound infection. The levels of CRP and PCT were compared between the two groups. The predictive value of CRP and PCT for postoperative wound infection was analyzed in patients with open limb fractures.
DOI: 10.15468/dl.t2zyfp
title: Occurrence Download

description: A dataset containing 313949 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is United States National Plant Germplasm System Collection"
 ]
}

 The dataset includes 313949 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000858-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.