cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.09233
title: PigGTEx_v0 - Significant molQTL
title: PigGTEx_v0 - Significant molQTL

description: Summary statistics of significant molQTL from the pilot phase of PigGTEx (http://piggtex.farmgtex.org).
description: Summary statistics of significant molQTL from the pilot phase of PigGTEx (http://piggtex.farmgtex.org).
DOI: 10.15468/dl.k9zpd7
title: Occurrence Download

description: A dataset containing 31451 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "IucnRedListCategory is one of (CR, EN)",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 31451 records from 153 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001314-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.17495
title: Shea tree (Vitellaria paradoxa) SNP data
title: Shea tree (Vitellaria paradoxa) SNP data

description: DArTSeq SNPs report data of shea tree to access the genetic diversity and population structure of Côte d'Ivoire shea population. Rows represent identified markers and columns represent statistical data and genotypes.
description: DArTSeq SNPs report data of shea tree to access the genetic diversity and population structure of Côte d'Ivoire shea population. Rows represent identified markers and columns represent statistical data and genotypes.
DOI: 10.57760/sciencedb.j00052.00285
title: Norm conflicts and internet altruistic intentions
title: 规范指向一致性与网络利他行为意向

description: Data were collected from 156 college students under a 2 by 2 between-subject design.
description: Data were collected from 156 college students under a 2 by 2 between-subject design.
DOI: 10.57760/sciencedb.17388
title: Fraction of Absorbed Photosynthetically Active Radiation (FPAR) products over Tibetan Plateau
title: 青藏高原区域光合有效辐射吸收系数产品

description: In total solar radiation (TSR), the component essential for photosynthesis is known as photosynthetically active radiation (PAR), which encompasses wavelengths from approximately 400 to 700 nm. The Fraction of Absorbed PAR is a key physiological variable in the study of carbon cycling and is one of the basic variables to describe vegetation ecosystems. The classification results of vegetation types in the Tibetan Plateau region were obtained based on the 30–m resolution Landsat reflectance data. Additionally, for different vegetation types during the growing season, the 98% (NDVI_max) and 2% (NDVI_min) cumulative frequencies of Normalized Difference Vegetation Index (NDVI) were calculated. To overcome the issues of underestimation and overestimation in FPAR estimation, which are based solely on the simple infrared/red ratio (SR) and NDVI, a hybrid model that combines SR and NDVI has been developed for more accurate FPAR estimation. This model was employed to generate average FPAR products for various vegetation types over the Tibetan Plateau between April and September spanning from 1987 to 2022. These FPAR data are instrumental in calculating vegetation carbon sequestration and assessing the status of vegetation ecosystems. The products have been stored in the GeoTIFF format, utilizing the GCS_WGS_1984 spatial reference system (EPSG: 4326).
description: In total solar radiation (TSR), the component essential for photosynthesis is known as photosynthetically active radiation (PAR), which encompasses wavelengths from approximately 400 to 700 nm. The Fraction of Absorbed PAR is a key physiological variable in the study of carbon cycling and is one of the basic variables to describe vegetation ecosystems. The classification results of vegetation types in the Tibetan Plateau region were obtained based on the 30–m resolution Landsat reflectance data. Additionally, for different vegetation types during the growing season, the 98% (NDVI_max) and 2% (NDVI_min) cumulative frequencies of Normalized Difference Vegetation Index (NDVI) were calculated. To overcome the issues of underestimation and overestimation in FPAR estimation, which are based solely on the simple infrared/red ratio (SR) and NDVI, a hybrid model that combines SR and NDVI has been developed for more accurate FPAR estimation. This model was employed to generate average FPAR products for various vegetation types over the Tibetan Plateau between April and September spanning from 1987 to 2022. These FPAR data are instrumental in calculating vegetation carbon sequestration and assessing the status of vegetation ecosystems. The products have been stored in the GeoTIFF format, utilizing the GCS_WGS_1984 spatial reference system (EPSG: 4326).
DOI: 10.57760/sciencedb.space.00813
title: Data for the effects of plasma density structure on the propagation of magnetosonic waves: 1-D particle-in-cell simulations
title: Data for the effects of plasma density structure on the propagation of magnetosonic waves: 1-D particle-in-cell simulations

description: The data of all figures in the article is applied, the more detail can be required from the note in each directory.
description: The data of all figures in the article is applied, the more detail can be required from the note in each directory.
DOI: 10.57760/sciencedb.15742
title: NAT10-mediated ac4C-modified ANKZF1 promotes tumor progression and lymphangiogenesis in clear-cell renal cell carcinoma by attenuating YWHAE-driven cytoplasmic retention of YAP1
title: NAT10-mediated ac4C-modified ANKZF1 promotes tumor progression and lymphangiogenesis in clear-cell renal cell carcinoma by attenuating YWHAE-driven cytoplasmic retention of YAP1

description: This dataset contains the supplementary data used in the research related to clear-cell renal cell carcinoma (ccRCC) titled "NAT10-mediated ac4C-modified ANKZF1 promotes tumor progression and lymphangiogenesis in clear-cell renal cell carcinoma by attenuating YWHAE-driven cytoplasmic retention of YAP1". The primary focus of the study is on the role of NAT10-mediated ac4C modification of ANKZF1 in ccRCC and its mechanism in promoting tumor progression and lymphangiogenesis by attenuating YWHAE-driven cytoplasmic retention of YAP1.
description: This dataset contains the supplementary data used in the research related to clear-cell renal cell carcinoma (ccRCC) titled "NAT10-mediated ac4C-modified ANKZF1 promotes tumor progression and lymphangiogenesis in clear-cell renal cell carcinoma by attenuating YWHAE-driven cytoplasmic retention of YAP1". The primary focus of the study is on the role of NAT10-mediated ac4C modification of ANKZF1 in ccRCC and its mechanism in promoting tumor progression and lymphangiogenesis by attenuating YWHAE-driven cytoplasmic retention of YAP1.
DOI: 10.57760/sciencedb.15270
title: Cervical Spine X-ray Atlas (CSXA)
title: Cervical Spine X-ray Atlas (CSXA)

description: Cervical Spine X-ray Atlas (CSXA), which includes 5000 raw PNG images and 5000 annotated images with JSON format (JavaScript Object Notation)
description: Cervical Spine X-ray Atlas (CSXA), which includes 5000 raw PNG images and 5000 annotated images with JSON format (JavaScript Object Notation)
DOI: 10.57760/sciencedb.17458
title: Investigation of a surface quality improvement method for post-processing Ti6Al4V additively manufactured samples based on magnetorheological polishing
title: Investigation of a surface quality improvement method for post-processing Ti6Al4V additively manufactured samples based on magnetorheological polishing

description: 增材制造的Ti6Al4V的磁流变学抛光，记录实验过程数据，
description: 增材制造的Ti6Al4V的磁流变学抛光，记录实验过程数据，
DOI: 10.57760/sciencedb.13339
title: The digital self-efficacy of animal science undergraduates, their familiarity with digital animal husbandry technologies, and their perspectives on the digital transformation and curriculum development in animal husbandry.
title: 传统动物科学本科生的数字自我效能，对数字化畜牧技术的熟悉程度，和他们的看法对于畜牧数字化转型和课程发展。

description: This dataset contains 267 quantitative responses regarding the digital self-efficacy of conventional animal science students and their familiarity level with animal husbandry technologies. It also includes 267 qualitative responses about these students' perspectives on the digital transformation of animal husbandry and updates to courses and programs.
description: This dataset contains 267 quantitative responses regarding the digital self-efficacy of conventional animal science students and their familiarity level with animal husbandry technologies. It also includes 267 qualitative responses about these students' perspectives on the digital transformation of animal husbandry and updates to courses and programs.
DOI: 10.57760/sciencedb.iap.00012
title: An oceanic mesoscale Direct Numerical Simulation from an idealized Southern Ocean Model
title: 一套理想南大洋模式下的海洋中尺度直接数值模拟

description: We use MITgcm to build an idealized Southern Ocean model and conduct a fully oceanic-mesoscale-resolving simulation. The dataset contains the results of both basic simulation and tracer tests. The horizontal resolution of the basic simulation (in the directory ./2km) is 2km, offering the three-day averaged variables for one model year after reaching the quasi-statistical steady state and the daily instantaneous field for two model months. The basic variables include potential temperature, three-dimensional velocity, and sea surface height anomaly. The horizontal resolution of the tracer tests (in directory ./tracer) is 8km, which includes the results of four passive tracers stirred in a quasi-statistical steady-state flow for four model years. We also provide model configuration files and pick-up files.
description: We use MITgcm to build an idealized Southern Ocean model and conduct a fully oceanic-mesoscale-resolving simulation. The dataset contains the results of both basic simulation and tracer tests. The horizontal resolution of the basic simulation (in the directory ./2km) is 2km, offering the three-day averaged variables for one model year after reaching the quasi-statistical steady state and the daily instantaneous field for two model months. The basic variables include potential temperature, three-dimensional velocity, and sea surface height anomaly. The horizontal resolution of the tracer tests (in directory ./tracer) is 8km, which includes the results of four passive tracers stirred in a quasi-statistical steady-state flow for four model years. We also provide model configuration files and pick-up files.
DOI: 10.57760/sciencedb.14082
title: A dataset of permanent resident population density in Henan Province (2020)
title: 2020年河南省常住人口密度数据集

description: High precision population spatial data plays an extremely important role in urban resource allocation and planning. Aiming at the problem that it is difficult to meet the needs of regional large-scale research with the currently published population data sets. In this study, night light data, POI data, land cover data and topographic data were selected to establish a population-based factor feature database, and the LightGBM model based on Bayesian optimization was used to model township (street) population in Henan Province in 2020, and the spatial distribution of population density in Henan province with a resolution of 200 meters was retrieved. The accuracy of the seventh population census data in 2020 was verified with the model results. The coefficient of determination R² of the research results was 0.932, the average absolute error was 0.134, and the mean square error was 0.034, which showed high accuracy, proving that the data set obtained in this study could better reflect the population density distribution of Henan Province in 2020. It can be used for higher precision population spatial analysis.
description: High precision population spatial data plays an extremely important role in urban resource allocation and planning. Aiming at the problem that it is difficult to meet the needs of regional large-scale research with the currently published population data sets. In this study, night light data, POI data, land cover data and topographic data were selected to establish a population-based factor feature database, and the LightGBM model based on Bayesian optimization was used to model township (street) population in Henan Province in 2020, and the spatial distribution of population density in Henan province with a resolution of 200 meters was retrieved. The accuracy of the seventh population census data in 2020 was verified with the model results. The coefficient of determination R² of the research results was 0.932, the average absolute error was 0.134, and the mean square error was 0.034, which showed high accuracy, proving that the data set obtained in this study could better reflect the population density distribution of Henan Province in 2020. It can be used for higher precision population spatial analysis.
DOI: 10.57760/sciencedb.15192
title: Prediction of Solar Coronal Structures Using Fourier Neural Operators Based on the Solar Photospheric Magnetic Field Observation
title: Prediction of Solar Coronal Structures Using Fourier Neural Operators Based on the Solar Photospheric Magnetic Field Observation

description: Data and codes of Fourier neural operators applied to construct the 3D solar coronal structure.
description: Data and codes of Fourier neural operators applied to construct the 3D solar coronal structure.
DOI: 10.57760/sciencedb.psych.00256
title: Dataset of Inhibition and Control Differences Across Various Types of Athletes
title: 不同类型运动员抑制控制差异的数据集

description: This dataset involves the behavioral performance and electrophysiological parameters of different types of athletes in inhibitory control tasks 
description: This dataset involves the behavioral performance and electrophysiological parameters of different types of athletes in inhibitory control tasks
DOI: 10.57760/sciencedb.10365
title: NTCdb: single-cell transcriptome database of human inflammatory disease
title: NTCdb: single-cell transcriptome database of human inflammatory disease

description: We have conducted a reanalysis of published datasets. The principle for naming file paths is as follows: the top level is the name of the inflammatory disease, the next level is the PMID of the data source literature, and further down is our analysis results, including folders for "cell," "gene," and "fig_dim.pdf." These three components respectively represent the results from cell analysis, gene analysis, and our data preprocessing outcomes.
description: We have conducted a reanalysis of published datasets. The principle for naming file paths is as follows: the top level is the name of the inflammatory disease, the next level is the PMID of the data source literature, and further down is our analysis results, including folders for "cell," "gene," and "fig_dim.pdf." These three components respectively represent the results from cell analysis, gene analysis, and our data preprocessing outcomes.
DOI: 10.57760/sciencedb.11412
title: Construction of a Dataset for Knowledge Atlas of Cotton Diseases and Pests
title: 棉花病虫害知识图谱构建数据集

description: Cotton is one of the important economic crops in China and one of the most important textile raw materials in the world. During the cotton planting process, various cotton diseases and pests have a significant impact on cotton yield. Constructing a knowledge map of cotton pests and diseases, and intelligentizing the names, symptoms, and prevention methods of cotton pests and diseases, and storing them in the form of a map, is of great significance for precise and rapid prevention and control of cotton pests and diseases. A dataset was constructed based on a knowledge graph of cotton diseases and pests. Based on books and websites related to cotton disease and pest control, unstructured data was collected through OCR technology and Python crawling. After cleaning and merging the data, 30 common cotton diseases and 49 cotton pest data were finally obtained. This dataset can be used to construct a knowledge map of cotton diseases and pests, providing data support for the development of informationization and intelligence in China's cotton planting industry. 
description: Cotton is one of the important economic crops in China and one of the most important textile raw materials in the world. During the cotton planting process, various cotton diseases and pests have a significant impact on cotton yield. Constructing a knowledge map of cotton pests and diseases, and intelligentizing the names, symptoms, and prevention methods of cotton pests and diseases, and storing them in the form of a map, is of great significance for precise and rapid prevention and control of cotton pests and diseases. A dataset was constructed based on a knowledge graph of cotton diseases and pests. Based on books and websites related to cotton disease and pest control, unstructured data was collected through OCR technology and Python crawling. After cleaning and merging the data, 30 common cotton diseases and 49 cotton pest data were finally obtained. This dataset can be used to construct a knowledge map of cotton diseases and pests, providing data support for the development of informationization and intelligence in China's cotton planting industry.
DOI: 10.57760/sciencedb.17905
title: code about TM-GCN/GRU/GCN/T-GCN
title: code about TM-GCN/GRU/GCN/T-GCN

description: code about TM-GCN_GRU_GCN_T-GCN
description: code about TM-GCN_GRU_GCN_T-GCN
DOI: 10.57760/sciencedb.12517
title: The dataset of sodium potassium aluminum phosphate
title: 钠钾铝磷酸盐玻璃数据集

description: SSNMR, Raman, XRD, and SEM data before and after glass corrosion 
description: SSNMR, Raman, XRD, and SEM data before and after glass corrosion
DOI: 10.57760/sciencedb.12453
title: Formation Mechanism of Crystalline Phase During Corrosion of Aluminum Phosphate Glasses
title: 磷酸铝玻璃腐蚀过程中结晶相的形成机理

description: This dataset includes NMR, Raman, and XRD spectra of initial phosphate glass, corroded glasses, leachates, and sediments obtained from leachates. The data results confirm at the atomic scale that the crystalline products formed on the phosphate glass surface are a result of dissolved Q1 macromolecular units reaching dissolution saturation equilibrium in the leaching solution and subsequently deposition. There are two distinct dissolution modes for the glass during the immersion process: overall macromolecular unit leaching and the continuous dissolution of Q0 units that persists throughout the entire corrosion process. As the immersion time prolongs, the crystal layer composed of the Q1 macromolecular units impedes the further dissolution of Q1 units. On the other hand, the Q0 unit continues to dissolve into the solution. 
description: This dataset includes NMR, Raman, and XRD spectra of initial phosphate glass, corroded glasses, leachates, and sediments obtained from leachates. The data results confirm at the atomic scale that the crystalline products formed on the phosphate glass surface are a result of dissolved Q1 macromolecular units reaching dissolution saturation equilibrium in the leaching solution and subsequently deposition. There are two distinct dissolution modes for the glass during the immersion process: overall macromolecular unit leaching and the continuous dissolution of Q0 units that persists throughout the entire corrosion process. As the immersion time prolongs, the crystal layer composed of the Q1 macromolecular units impedes the further dissolution of Q1 units. On the other hand, the Q0 unit continues to dissolve into the solution.
DOI: 10.57760/sciencedb.17936
title: Patent warning analysis
title: 专利预警分析

description: Patent warning analysis 
description: Patent warning analysis
DOI: 10.57760/sciencedb.space.01914
title: Temperature retrieval results
title: Temperature retrieval results

description: Temperature retrieval results for MWTS-III and five selected bandwidths (10 MHz, 20 MHz, 30 MHz, 50 MHz, and 100 MHz).
description: Temperature retrieval results for MWTS-III and five selected bandwidths (10 MHz, 20 MHz, 30 MHz, 50 MHz, and 100 MHz).
DOI: 10.57760/sciencedb.16896
title: CPIA Dataset_Part09: A Comprehensive Pathological Image Analysis Dataset for Self-supervised Learning Pre-training
title: CPIA Dataset_Part09: A Comprehensive Pathological Image Analysis Dataset for Self-supervised Learning Pre-training

description: Pathological image analysis is a crucial field in computer-aided diagnosis. Transfer learning using models initialized on natural images has improved the downstream pathological performance. However, the lack of sophisticated domain-specific pathological initialization hinders their potential. Self-supervised learning (SSL) enables pre-training without sample-level labels, overcoming the challenge of expensive annotations. Thus, this field calls for a comprehensive dataset, similar to the ImageNet in computer vision. This paper presents a large-scale comprehensive pathological image analysis (CPIA) dataset for SSL pre-training. The CPIA dataset contains 148,962,579 images, covering over 48 organs/tissues and approximately 100 kinds of diseases, which includes two main data types: whole slide images (WSIs) and characteristic regions of interest (ROIs). And we establish a multi-scale pathological data processing workflow, combined with the diagnosis habits of senior pathologists. The CPIA dataset facilitates a comprehensive pathological understanding and enables pattern discovery explorations. Additionally, to launch the CPIA dataset, several state-of-the-art (SOTA) baselines of SSL pre-training and downstream evaluation are specially conducted. This is the Part09 of CPIA dataset, including the CPIA-Mini and partial CPIA dataset. The related code and information are available at https://github.com/zhanglab2021/CPIA_Dataset.
description: Pathological image analysis is a crucial field in computer-aided diagnosis. Transfer learning using models initialized on natural images has improved the downstream pathological performance. However, the lack of sophisticated domain-specific pathological initialization hinders their potential. Self-supervised learning (SSL) enables pre-training without sample-level labels, overcoming the challenge of expensive annotations. Thus, this field calls for a comprehensive dataset, similar to the ImageNet in computer vision. This paper presents a large-scale comprehensive pathological image analysis (CPIA) dataset for SSL pre-training. The CPIA dataset contains 148,962,579 images, covering over 48 organs/tissues and approximately 100 kinds of diseases, which includes two main data types: whole slide images (WSIs) and characteristic regions of interest (ROIs). And we establish a multi-scale pathological data processing workflow, combined with the diagnosis habits of senior pathologists. The CPIA dataset facilitates a comprehensive pathological understanding and enables pattern discovery explorations. Additionally, to launch the CPIA dataset, several state-of-the-art (SOTA) baselines of SSL pre-training and downstream evaluation are specially conducted. This is the Part09 of CPIA dataset, including the CPIA-Mini and partial CPIA dataset. The related code and information are available at https://github.com/zhanglab2021/CPIA_Dataset.