cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.14355
title: Peripheral blood and karyotype information of MDS patients
title: Peripheral blood and karyotype information of MDS patients

description: Peripheral blood and karyotype information of MDS patients
description: Peripheral blood and karyotype information of MDS patients
DOI: 10.57760/sciencedb.ai.00005
title: Dataset for Street-level Surface Reconstrucion
title: Dataset for Street-level Surface Reconstrucion

description: The dataset offers a comprehensive set of resources, including aligned RGB images and LiDAR point cloud frames, frame poses, calibration parameters, and ground truth point clouds, for street-level surface reconstruction. The dataset is collected by a handheld camera-LIDAR-IMU integrated device. The device is equipped with an IMU, a monocular camera, and a Velodyne VLP-16 LiDAR. We collect 5 sequences, namely real_1, real_2, real_3, real_4, and real_5, respectively. The first four sequences are captured along line-shaped streets with lengths of about 230 m, 235 m, 225 m, and 410 m, respectively. The last sequence is collected in a small park with an area of about 370 m * 100 m, and the data collection trajectory is a ring with a length of about 870 m. We perform strict spatiotemporal calibration to determine the camera's internal parameters as well as external parameters among the camera, LiDAR, and IMU. We use a robust LiDAR-inertial odometry, FAST-LIO2, to obtain the initial poses of each data frame. A NavVis VLX 3 scanner is used to capture the ground truth point cloud of each sequence with millimeter-level accuracy. To obtain the ground truth poses of each frame, we first compute a transformation between the accumulated point cloud generated by Fast-LIO2 and the ground truth point cloud, then apply the transformation to the initial poses, and finally refine the poses by aligning each point cloud frame with the ground truth point cloud using the iterative closest point (ICP) algorithm.
description: The dataset offers a comprehensive set of resources, including aligned RGB images and LiDAR point cloud frames, frame poses, calibration parameters, and ground truth point clouds, for street-level surface reconstruction. The dataset is collected by a handheld camera-LIDAR-IMU integrated device. The device is equipped with an IMU, a monocular camera, and a Velodyne VLP-16 LiDAR. We collect 5 sequences, namely real_1, real_2, real_3, real_4, and real_5, respectively. The first four sequences are captured along line-shaped streets with lengths of about 230 m, 235 m, 225 m, and 410 m, respectively. The last sequence is collected in a small park with an area of about 370 m * 100 m, and the data collection trajectory is a ring with a length of about 870 m. We perform strict spatiotemporal calibration to determine the camera's internal parameters as well as external parameters among the camera, LiDAR, and IMU. We use a robust LiDAR-inertial odometry, FAST-LIO2, to obtain the initial poses of each data frame. A NavVis VLX 3 scanner is used to capture the ground truth point cloud of each sequence with millimeter-level accuracy. To obtain the ground truth poses of each frame, we first compute a transformation between the accumulated point cloud generated by Fast-LIO2 and the ground truth point cloud, then apply the transformation to the initial poses, and finally refine the poses by aligning each point cloud frame with the ground truth point cloud using the iterative closest point (ICP) algorithm.
DOI: 10.57760/sciencedb.j00139.00098
title: Epigenetic Basis for the Establishment of Ruminal Tissue-Specific Functions
title: Epigenetic Basis for the Establishment of Ruminal Tissue-Specific Functions

description: While DNA methylation in other tissues can be approximated through model species, the dynamic distribution and regulatory significance of DNA methylation in the rumen, a unique organ in ruminant, remain largely unknown. Here, we employed whole-genome bisulfite sequencing (WGBS), transcriptomics, and histone modification data to compare fetal and adult stages of bovine rumen with other tissues, including pluripotent stem cells (PSCs) approximating pre-implantation embryos. We found extensive methylation differences, including CG methylation (mCG) and non-CG methylation (mCH; H represents A, C and T) between the rumen at fetal and adult stages and other tissues and PSCs. These differentially methylated regions (DMRs) are closely associated with other epigenetic regulatory components, such as transcription factors (TFs) and histone modifications. These DMRs can also combine to form large hypo CG-DMRs to regulate a cluster of functionally related genes. We elucidated the reasons for morphological and functional differences between fetal and adult rumen at the epigenetic level and the interactions between epigenetic modifications and gene expression. This study highlights the differences in methylation patterns between the rumen and other tissues during development and the role of DNA methylation in controlling gene expression and establishing tissue-specific functions.
description: While DNA methylation in other tissues can be approximated through model species, the dynamic distribution and regulatory significance of DNA methylation in the rumen, a unique organ in ruminant, remain largely unknown. Here, we employed whole-genome bisulfite sequencing (WGBS), transcriptomics, and histone modification data to compare fetal and adult stages of bovine rumen with other tissues, including pluripotent stem cells (PSCs) approximating pre-implantation embryos. We found extensive methylation differences, including CG methylation (mCG) and non-CG methylation (mCH; H represents A, C and T) between the rumen at fetal and adult stages and other tissues and PSCs. These differentially methylated regions (DMRs) are closely associated with other epigenetic regulatory components, such as transcription factors (TFs) and histone modifications. These DMRs can also combine to form large hypo CG-DMRs to regulate a cluster of functionally related genes. We elucidated the reasons for morphological and functional differences between fetal and adult rumen at the epigenetic level and the interactions between epigenetic modifications and gene expression. This study highlights the differences in methylation patterns between the rumen and other tissues during development and the role of DNA methylation in controlling gene expression and establishing tissue-specific functions.
DOI: 10.57760/sciencedb.j00001.00865
title: Dataset of wetland plants and soil carbon, nitrogen, phosphorus, and trace elements under different hydrological conditions in Poyang Lake
title: 鄱阳湖不同高程梯度下湿地植物和土壤碳氮磷及微量元素数据集

description: This dataset consists of a directory of wetland plants in survey plots, individual plant numbers, aboveground and underground biomass of plants, soil carbon, nitrogen, phosphorus, potassium, sodium, calcium, magnesium, iron, manganese, and zinc content, and daily water level records of 21 plots in 5 sheets.
description: This dataset consists of a directory of wetland plants in survey plots, individual plant numbers, aboveground and underground biomass of plants, soil carbon, nitrogen, phosphorus, potassium, sodium, calcium, magnesium, iron, manganese, and zinc content, and daily water level records of 21 plots in 5 sheets.
DOI: 10.57760/sciencedb.10118
title: TPSCRE: A Joint Model for Entity and Relation Extraction in Traditional Chinese Medicine Patent Texts by Integrating Semantic Features and Multi-layer Cross-attention Mechanisms
title: TPSCRE：一种融合语义特征和多层交叉注意力机制的中药专利文本实体关系联合抽取模型

description: TPSCRE: A Joint Model for Entity and Relation Extraction in Traditional Chinese Medicine Patent Texts by Integrating Semantic Features and Multi-layer Cross-attention Mechanisms
description: TPSCRE: A Joint Model for Entity and Relation Extraction in Traditional Chinese Medicine Patent Texts by Integrating Semantic Features and Multi-layer Cross-attention Mechanisms
DOI: 10.57760/sciencedb.lcbl.00023
title: Molecular subtype identification and prognostic model construction of gastric cancer based on polyamine metabolism-related genes
title: 基于多胺代谢相关基因的胃癌分子亚型鉴定和预后模型构建

description: The clinicopathologic information and gene expression data of gastric cancer patients were downloaded from The Cancer Genome Atlas (TCGA) database and Gene Expression Omnibus (GEO) database. According to the expression pattern of PMRG, it was divided into different molecular subtypes, PMRGclusteA and PMRGclusteB. According to the differentially expressed genes between molecular subtypes, a risk prognosis model based on least absolute shrinkage and selection operator regression and multivariate COX regression analysis was established, and patient prognosis, receiver operating characteristic curve, immune cell infiltration, tumor microenvironment, and microsatellite instability were evaluated. The expression patterns of the model genes were analyzed at the single-cell level using the Cancer Immune Single Cell Center 2 database. The protein expression of the model genes was verified using the Human Protein Atlas database.This study investigated the expression pattern of PMRG and its relationship with tumor characteristics, identified 2 molecular subtypes, and provided a new model for predicting the prognosis of gastric cancer patients. The new predictive model offers a new reference for clinical prognosis prediction and treatment of gastric cancer patients.
description: The clinicopathologic information and gene expression data of gastric cancer patients were downloaded from The Cancer Genome Atlas (TCGA) database and Gene Expression Omnibus (GEO) database. According to the expression pattern of PMRG, it was divided into different molecular subtypes, PMRGclusteA and PMRGclusteB. According to the differentially expressed genes between molecular subtypes, a risk prognosis model based on least absolute shrinkage and selection operator regression and multivariate COX regression analysis was established, and patient prognosis, receiver operating characteristic curve, immune cell infiltration, tumor microenvironment, and microsatellite instability were evaluated. The expression patterns of the model genes were analyzed at the single-cell level using the Cancer Immune Single Cell Center 2 database. The protein expression of the model genes was verified using the Human Protein Atlas database.This study investigated the expression pattern of PMRG and its relationship with tumor characteristics, identified 2 molecular subtypes, and provided a new model for predicting the prognosis of gastric cancer patients. The new predictive model offers a new reference for clinical prognosis prediction and treatment of gastric cancer patients.
DOI: 10.57760/sciencedb.08459
title: Regulation of Preferential Flow by Soil Thickness on Small Hillslopes with Complex Topography through Intensive High-frequency Soil Moisture Monitoring
title: Regulation of Preferential Flow by Soil Thickness on Small Hillslopes with Complex Topography through Intensive High-frequency Soil Moisture Monitoring

description: RainfallSoil moisture at 5-in intervalSurface elevation and soil thickness
description: RainfallSoil moisture at 5-in intervalSurface elevation and soil thickness
DOI: 10.57760/sciencedb.12681
title: Raw data for Design and Assessment of Broad-spectrum Multi-epitope Vaccines against Diverse Bovine Viral Diarrhea Virus Subtypes Based on Reverse Vaccinology
title: Raw data for Design and Assessment of Broad-spectrum Multi-epitope Vaccines against Diverse Bovine Viral Diarrhea Virus Subtypes Based on Reverse Vaccinology

description: Raw data for Design and Assessment of Broad-spectrum Multi-epitope Vaccines against Diverse Bovine Viral Diarrhea Virus Subtypes Based on Reverse Vaccinology
description: Raw data for Design and Assessment of Broad-spectrum Multi-epitope Vaccines against Diverse Bovine Viral Diarrhea Virus Subtypes Based on Reverse Vaccinology
DOI: 10.57760/sciencedb.17994
title: FITACF DATA FOR CN-DARN RADARS
title: FITACF DATA FOR CN-DARN RADARS

description: This data set includes several fitacf data of six CN-DARN radars ofMeridian Project Phase II. It contains data from Longjing East （LJE），Longjing West （LJW），Hejing East （HJE），Hejing West （HJW）on 3 Oct 2023，5 Nov 2023 and 1 Dec 2023.
description: This data set includes several fitacf data of six CN-DARN radars ofMeridian Project Phase II. It contains data from Longjing East （LJE），Longjing West （LJW），Hejing East （HJE），Hejing West （HJW）on 3 Oct 2023，5 Nov 2023 and 1 Dec 2023.
DOI: 10.57760/sciencedb.09354
title: GDC TCGA cancer datasets for GenMorw
title: GDC TCGA cancer datasets for GenMorw

description: We downloaded and organized 33 cancer data from GDC TCGA via the UCSC Xena platform (https://xena.ucsc.edu/) for input into our GenMorw algorithm. Users can decompress the files and place them in the 'Cancer Data' folder within the GitHub repository to obtain prioritization of driver gene predictions.It comprises 33 directories (GDC_CANCER), along with a methylation annotation file (illuminaMethyl450_hg38_GDC) and a gene coding annotation file (gencode.v22.annotation.gene.probeMap).Each directory includes a download information file (informations.tsv), cancer patient phenotypes (TCGA-CANCER.GDC_phenotype.tsv.gz), copy number variation (TCGA-CANCER.gistic.tsv.gz), gene expression (TCGA-CANCER.htseq_fpkm.tsv.gz), methylation (TCGA-CANCER.methylation450.tsv.gz), miRNA (TCGA-CANCER.mirna.tsv.gz), gene mutation data (TCGA-CANCER.mutect2_snv.tsv.gz), and patient survival data (TCGA-CANCER.survival.tsv).
description: We downloaded and organized 33 cancer data from GDC TCGA via the UCSC Xena platform (https://xena.ucsc.edu/) for input into our GenMorw algorithm. Users can decompress the files and place them in the 'Cancer Data' folder within the GitHub repository to obtain prioritization of driver gene predictions.It comprises 33 directories (GDC_CANCER), along with a methylation annotation file (illuminaMethyl450_hg38_GDC) and a gene coding annotation file (gencode.v22.annotation.gene.probeMap).Each directory includes a download information file (informations.tsv), cancer patient phenotypes (TCGA-CANCER.GDC_phenotype.tsv.gz), copy number variation (TCGA-CANCER.gistic.tsv.gz), gene expression (TCGA-CANCER.htseq_fpkm.tsv.gz), methylation (TCGA-CANCER.methylation450.tsv.gz), miRNA (TCGA-CANCER.mirna.tsv.gz), gene mutation data (TCGA-CANCER.mutect2_snv.tsv.gz), and patient survival data (TCGA-CANCER.survival.tsv).
DOI: 10.57760/sciencedb.13576
title: Raw data of the study about a widespread impact- induced rare mineral kuratite with correlated disorder on both sides of the Moon
title: Raw data of the study about a widespread impact- induced rare mineral kuratite with correlated disorder on both sides of the Moon

description: The SEM images, (HR)STEM images, EDS and EELS data and diffraction patterns of kuratite, a widespread impact- induced rare mineral with correlated disorder on the Moon.
description: The SEM images, (HR)STEM images, EDS and EELS data and diffraction patterns of kuratite, a widespread impact- induced rare mineral with correlated disorder on the Moon.
DOI: 10.57760/sciencedb.09766
title: A spatial-temporal variation dataset of water color of regulating reservoirs for water transfer project during 1990-2022
title: 1990-2022年胶东调水工程调蓄水库水色时空变化数据集

description: This is a spatial-temporal variation dataset of water color of seven regulating reservoirs (Guangnan, Longze, Shuangwangcheng, Xiashan, Jihongtan, Menlou, and Mishan) of Jiaodong water transfer project during 1990-2022 based on Landsat-5 TM, Landsat-8/9 OLI, and Sentinel-2 MSI as well as a FUI-based water color computing method was. The data are stored in GeoTiff raster format, and the FUI value and coordinate information of the pixel are saved at the same time for easy reading and analysis by relevant GIS software.
description: This is a spatial-temporal variation dataset of water color of seven regulating reservoirs (Guangnan, Longze, Shuangwangcheng, Xiashan, Jihongtan, Menlou, and Mishan) of Jiaodong water transfer project during 1990-2022 based on Landsat-5 TM, Landsat-8/9 OLI, and Sentinel-2 MSI as well as a FUI-based water color computing method was. The data are stored in GeoTiff raster format, and the FUI value and coordinate information of the pixel are saved at the same time for easy reading and analysis by relevant GIS software.
DOI: 10.57760/sciencedb.j00133.00304
title: Legal text dataset
title: 法律文本数据集

description: The dataset consists of two files, the PKUlawData dataset and the JSCLawData dataset. The PKUlawData dataset comes from the Peking University Treasure Database and is obtained manually and programmatically, containing text data on six types of topics in the legal field. JSCLawData comes from legal text data within a company in Jiangsu, containing legal field texts on 17 topics.
description: The dataset consists of two files, the PKUlawData dataset and the JSCLawData dataset. The PKUlawData dataset comes from the Peking University Treasure Database and is obtained manually and programmatically, containing text data on six types of topics in the legal field. JSCLawData comes from legal text data within a company in Jiangsu, containing legal field texts on 17 topics.
DOI: 10.57760/sciencedb.11864
title: Assessing the effect of foodborne endocrine disruptors exposure on methionine synthase activity in neuro-2a neuroblastoma cell lines.
title: Assessing the effect of foodborne endocrine disruptors exposure on methionine synthase activity in neuro-2a neuroblastoma cell lines.

description: The potential impact of EDCs on MS, the activity of this enzyme in neuroblastoma (Neuro2A) cells with no exposure to EDC’s was measured obtaining a concentration of 2.3 ± 0.06 nmol/(min*mg of protein). This value was significantly higher when compared to Neuro2A cells exposed to endocrine disruptors.The MS specific activities observed on Neuro2A line cell exposed to DEHP, MBP and OP phthalates were 1.2 ± 0.06 nmol/(min* mg of protein), 0.79 ± 0.03 nmol/(min* mg of protein) and 1.3 ± 0.11 nmol/(min* mg of protein) respectively.On the other hand, BPA is a compound with two phenolic rings (benzene with an OH group) linked centrally to a propane moiety symmetrically. The observed MS activity in presence of this EDC was 1.51 ± 0.03 nmol/(min* mg of protein) as a result of 24 h exposure, which is significantly lower to control conditions while its effects were less marked than those of MBP.
description: The potential impact of EDCs on MS, the activity of this enzyme in neuroblastoma (Neuro2A) cells with no exposure to EDC’s was measured obtaining a concentration of 2.3 ± 0.06 nmol/(min*mg of protein). This value was significantly higher when compared to Neuro2A cells exposed to endocrine disruptors.The MS specific activities observed on Neuro2A line cell exposed to DEHP, MBP and OP phthalates were 1.2 ± 0.06 nmol/(min* mg of protein), 0.79 ± 0.03 nmol/(min* mg of protein) and 1.3 ± 0.11 nmol/(min* mg of protein) respectively.On the other hand, BPA is a compound with two phenolic rings (benzene with an OH group) linked centrally to a propane moiety symmetrically. The observed MS activity in presence of this EDC was 1.51 ± 0.03 nmol/(min* mg of protein) as a result of 24 h exposure, which is significantly lower to control conditions while its effects were less marked than those of MBP.
DOI: 10.57760/sciencedb.10094
title: Raw Data for the article "Preclinical evaluation of the SARS-CoV-2 Mpro inhibitor RAY1216 shows improved pharmacokinetics compared with nirmatrelvir"
title: Raw Data for the article "Preclinical evaluation of the SARS-CoV-2 Mpro inhibitor RAY1216 shows improved pharmacokinetics compared with nirmatrelvir"

description: This zip package includes all the raw data of RAY1216 molecule crystal structure and main protease,Mpro and Mpro:RAY1216 crystal structures.
description: This zip package includes all the raw data of RAY1216 molecule crystal structure and main protease,Mpro and Mpro:RAY1216 crystal structures.
DOI: 10.57760/sciencedb.11879
title: Raw data for the article“An unconventional VH1-2 antibody tolerates escape mutations and shows an antigenic hotspot on SARS-CoV-2 spike”
title: Raw data for the article“An unconventional VH1-2 antibody tolerates escape mutations and shows an antigenic hotspot on SARS-CoV-2 spike”

description: This zip package includes the PDB and map of the antibody-spike complexes 
description: This zip package includes the PDB and map of the antibody-spike complexes
DOI: 10.57760/sciencedb.15074
title: Y06014 is a selective BET inhibitor for the treatment of prostate cancer
title: Y06014 is a selective BET inhibitor for the treatment of prostate cancer

description: This zip package includes all the raw data involving in the article "Y06014 is a selective BET inhibitor for the treatment of prostate cancer"submitted to the acta pharmacologica sinica
description: This zip package includes all the raw data involving in the article "Y06014 is a selective BET inhibitor for the treatment of prostate cancer"submitted to the acta pharmacologica sinica
DOI: 10.57760/sciencedb.13411
title: PRISMA and Text Library
title: PRISMA and Text Library

description: The detailed PRISMA procedure and Text Library
description: The detailed PRISMA procedure and Text Library
DOI: 10.57760/sciencedb.13880
title: annotation of vessels for 271 TOF-MRA volumes
title: annotation of vessels for 271 TOF-MRA volumes

description: We manually annotated 271 (healthy : pathological = 150 : 121) TOF-MRA volumes, including 28,128 slices. This annotated dataset, named CereVessMRA, supports the development of deep learning methods for cerebrovascular segmentation (please also refer to our work: https://github.com/YingChen7/HQA_Cerebrovasculature/blob/data/2_CereVessSeg_CereVessPro/README.md). The 150 annotated healthy TOF-MRA volumes from UK subjects were sourced from three different institutions, as part of the UK-Hset. The 121 annotated pathological TOF-MRA volumes from Chinese subjects were provided by Datian General Hospital in Fujian Province, China. This large-scale and multi-center cerebral arterial annotation dataset facilitated the development of generalizable deep learning models for automatic and precise cerebral arterial segmentation.If you use this dataset, please cite following paper:Guo, B., Chen, Y., Lin, J. et al. Self-supervised learning for accurately modelling hierarchical evolutionary patterns of cerebrovasculature. Nat Commun 15, 9235 (2024). https://doi.org/10.1038/s41467-024-53550-5
description: We manually annotated 271 (healthy : pathological = 150 : 121) TOF-MRA volumes, including 28,128 slices. This annotated dataset, named CereVessMRA, supports the development of deep learning methods for cerebrovascular segmentation (please also refer to our work: https://github.com/YingChen7/HQA_Cerebrovasculature/blob/data/2_CereVessSeg_CereVessPro/README.md). The 150 annotated healthy TOF-MRA volumes from UK subjects were sourced from three different institutions, as part of the UK-Hset. The 121 annotated pathological TOF-MRA volumes from Chinese subjects were provided by Datian General Hospital in Fujian Province, China. This large-scale and multi-center cerebral arterial annotation dataset facilitated the development of generalizable deep learning models for automatic and precise cerebral arterial segmentation.If you use this dataset, please cite following paper:Guo, B., Chen, Y., Lin, J. et al. Self-supervised learning for accurately modelling hierarchical evolutionary patterns of cerebrovasculature. Nat Commun 15, 9235 (2024). https://doi.org/10.1038/s41467-024-53550-5