cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.space.01145
title: The Polar/UVI aurora images and segmentation annotations during isolated substorms in 1996-2000.
title: The Polar/UVI aurora images and segmentation annotations during isolated substorms in 1996-2000.

description: This is a dataset of the Polar/UVI aurora images and segmentation annotations during isolated substorms in 1996-2000. This is also the dataset used in A Superposed Epoch Analysis of Aurora Oval Coverage During Substorms Using Deep Learning-Based Segmentation Models. The dataset contains 590 substorms, totally 51040 images.
description: This is a dataset of the Polar/UVI aurora images and segmentation annotations during isolated substorms in 1996-2000. This is also the dataset used in A Superposed Epoch Analysis of Aurora Oval Coverage During Substorms Using Deep Learning-Based Segmentation Models. The dataset contains 590 substorms, totally 51040 images.
DOI: 10.57760/sciencedb.j00186.00198
title: Dataset of discrimination study of pp solar neutrinos and C14 double pile-up events in a large-scale LS detector
title: Dataset of discrimination study of pp solar neutrinos and C14 double pile-up events in a large-scale LS detector

description: Dataset of discrimination study of pp solar neutrinos and C14 double pile-up events in large-scale LS detector
description: Dataset of discrimination study of pp solar neutrinos and C14 double pile-up events in large-scale LS detector
DOI: 10.57760/sciencedb.11067
title: ATAC-seq in con-T or 3D-T cells
title: ATAC-seq in con-T or 3D-T cells

description: The conventional rigid plate-cultured CD8+ T cells (Con-T) or 3D fibrin gel-cultured CD8+ T cells (3D-T) were harvested for ATAC-seq. Then ATAC libraries were generated as the Omni-ATAC protocol which were described as , and Vazyme Tn5 transposase (TD501) was used for transposition. According to manufacturer’s protocol, ATAC-seq library construction using the TruePrep DNA Library Prep Kit V2 for Illumina (Vazyme). The library was sequenced with an Illumina NovaSeq 6000 (Illumina). The quality of NSG data was assessed by FastQC. ATAC-seq Data were aligned by Bowtie2 to the GenomeReference Consorium human genome (build 38). MACS2 was used to identify peaks of enrichment.
description: The conventional rigid plate-cultured CD8+ T cells (Con-T) or 3D fibrin gel-cultured CD8+ T cells (3D-T) were harvested for ATAC-seq. Then ATAC libraries were generated as the Omni-ATAC protocol which were described as , and Vazyme Tn5 transposase (TD501) was used for transposition. According to manufacturer’s protocol, ATAC-seq library construction using the TruePrep DNA Library Prep Kit V2 for Illumina (Vazyme). The library was sequenced with an Illumina NovaSeq 6000 (Illumina). The quality of NSG data was assessed by FastQC. ATAC-seq Data were aligned by Bowtie2 to the GenomeReference Consorium human genome (build 38). MACS2 was used to identify peaks of enrichment.
DOI: 10.57760/sciencedb.07141
title: Microscopy image datasets for image classification, object detection, and image deblurring
title: Microscopy image datasets for image classification, object detection, and image deblurring

description: This repository contains three microscopy image datasets used for cellular image analysis, specifically for image classification, object detection, and image reconstruction tasks. These datasets were previously published by our group and include DCTL (https://doi.org/10.1093/bioinformatics/btaa513), GFS-ExtremeNet (https://doi.org/10.1128/mSystems.00840-19), and COMI (https://doi.org/10.1016/j.csbj.2022.04.003).
description: This repository contains three microscopy image datasets used for cellular image analysis, specifically for image classification, object detection, and image reconstruction tasks. These datasets were previously published by our group and include DCTL (https://doi.org/10.1093/bioinformatics/btaa513), GFS-ExtremeNet (https://doi.org/10.1128/mSystems.00840-19), and COMI (https://doi.org/10.1016/j.csbj.2022.04.003).
DOI: 10.57760/sciencedb.10281
title: A dataset of soil physicochemical characteristics and plant species diversity in alfalfa field of abandoned 1–49 years in Shenmu, Shaanxi Province
title: 陕西神木弃耕1–49年的苜蓿地土壤理化特性和植物物种多样性数据集

description: The abandonment of alfalfa fields is increasing in a semi–arid region. To determine the changes of soil water content, soil bulk density, soil porosity, soil saturated water conductivity, soil pH, soil NH4-N, NO3-N, soil available phosphorus, soil organic carbon, soil total nitrogen, Margalef index, Pielou index, Simpson index, and Shannon–Wiener index in abandoned alfalfa fields are essential for vegetation restoration. This dataset was collected by the National Field Scientific Observation and Research Station of Shenmu Grassland Agricultural Ecosystem in Shaanxi Province. Alfalfa fields with different abandonment times were investigated in 2003 (1–30 years), 2014 (12–41 years), and 2022 (20–49 years), and obtained the data of soil physicochemical characteristics and plant species diversity. In this dataset, field investigation, laboratory measurement, data calculation, data storage, and quality control were carried out in strict accordance with international observation technical standards. The data has a high quality, which could provide data basis for the study of alfalfa succession process in semi–arid areas.
description: The abandonment of alfalfa fields is increasing in a semi–arid region. To determine the changes of soil water content, soil bulk density, soil porosity, soil saturated water conductivity, soil pH, soil NH4-N, NO3-N, soil available phosphorus, soil organic carbon, soil total nitrogen, Margalef index, Pielou index, Simpson index, and Shannon–Wiener index in abandoned alfalfa fields are essential for vegetation restoration. This dataset was collected by the National Field Scientific Observation and Research Station of Shenmu Grassland Agricultural Ecosystem in Shaanxi Province. Alfalfa fields with different abandonment times were investigated in 2003 (1–30 years), 2014 (12–41 years), and 2022 (20–49 years), and obtained the data of soil physicochemical characteristics and plant species diversity. In this dataset, field investigation, laboratory measurement, data calculation, data storage, and quality control were carried out in strict accordance with international observation technical standards. The data has a high quality, which could provide data basis for the study of alfalfa succession process in semi–arid areas.
DOI: 10.57760/sciencedb.14357
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.16280
title: Quantifying the interfacial triboelectricity in inorganic-organic composite mechanoluminescent materials
title: Quantifying the interfacial triboelectricity in inorganic-organic composite mechanoluminescent materials

description: The source data support the findings of the paper entitled “Quantifying the interfacial triboelectricity in inorganic-organic composite mechanoluminescent materials”。
description: The source data support the findings of the paper entitled “Quantifying the interfacial triboelectricity in inorganic-organic composite mechanoluminescent materials”。
DOI: 10.57760/sciencedb.13707
title: River and lake vector and coverage dataset in Guangxi, Yunnan, Guizhou of China and the ASEAN countries
title: 中国广西、云南、贵州及东盟十国河流、湖库面域矢量及其覆盖率数据集

description: Using Eurasian river vector data (2010) and European Space Agency (ESA) Global Land Classification data (2020) terrestrial surface water products, river and lake reservoir surface area vector data were formed by fusion. Then, the expansion and contraction buffer method was used to solve the problem of river water discontinuity, and the river surface area vector datasets in Guangxi, Yunnan, Guizhou of China and ten ASEAN countries were produced with the aid of judgments based on the first-degree, second-degree, and third-degree river classes in the HyroBASINS data. The lake and reservoir surface area vector dataset for the same region was obtained through further processing of the European Space Agency (ESA) global land classification data. The river and lake reservoir coverage was calculated to generate 1km river and lake reservoir coverage grid dataset.
description: Using Eurasian river vector data (2010) and European Space Agency (ESA) Global Land Classification data (2020) terrestrial surface water products, river and lake reservoir surface area vector data were formed by fusion. Then, the expansion and contraction buffer method was used to solve the problem of river water discontinuity, and the river surface area vector datasets in Guangxi, Yunnan, Guizhou of China and ten ASEAN countries were produced with the aid of judgments based on the first-degree, second-degree, and third-degree river classes in the HyroBASINS data. The lake and reservoir surface area vector dataset for the same region was obtained through further processing of the European Space Agency (ESA) global land classification data. The river and lake reservoir coverage was calculated to generate 1km river and lake reservoir coverage grid dataset.
DOI: 10.57760/sciencedb.09716
title: The Stochastic Nature of Repeating FRBs
title: The Stochastic Nature of Repeating FRBs

description: Data used in the paper "The arrival time and energy of FRBs traverse the time-energy bivariate space like a Brownian Motion"
description: Data used in the paper "The arrival time and energy of FRBs traverse the time-energy bivariate space like a Brownian Motion"
DOI: 10.57760/sciencedb.13883
title: Checklist of vascular plant species in Huangshui River Basin of Qinghai Province, China
title: Checklist of vascular plant species in Huangshui River Basin of Qinghai Province, China

description: BackgroundThe Huangshui River Basin is one of the most important water sources in Qinghai Province and of great importance for ecological protection measures, agricultural irrigation, and tourism. Based on the previous studies and fieldwork related to plant species in China, this article presents comprehensive data on vascular plants distributed in the Huangshui River Basin of Qinghai Province. Novel informationThe checklist of plants includes ferns, gymnosperms, and angiosperms, covering 5 phyla, 51 orders, 139 families, 722 genera, and 2,419 species. It includes numerous Compositae, Gramineae, Rosaceae, and Leguminosae, along with statistical data on the number of species distributed in different regions. The dataset presented in this article provides important background information on vascular plants in the Huangshui River Basin and therefore plays a crucial role in the protection and management of plant resources in this region.
description: BackgroundThe Huangshui River Basin is one of the most important water sources in Qinghai Province and of great importance for ecological protection measures, agricultural irrigation, and tourism. Based on the previous studies and fieldwork related to plant species in China, this article presents comprehensive data on vascular plants distributed in the Huangshui River Basin of Qinghai Province. Novel informationThe checklist of plants includes ferns, gymnosperms, and angiosperms, covering 5 phyla, 51 orders, 139 families, 722 genera, and 2,419 species. It includes numerous Compositae, Gramineae, Rosaceae, and Leguminosae, along with statistical data on the number of species distributed in different regions. The dataset presented in this article provides important background information on vascular plants in the Huangshui River Basin and therefore plays a crucial role in the protection and management of plant resources in this region.
DOI: 10.57760/sciencedb.10138
title: Different neural underpinnings for self and prosocial decision-making under cognitive load
title: Different neural underpinnings for self and prosocial decision-making under cognitive load

description: The data acquisition was conducted using a Siemens Prisma 3.0 T MRI machine. Functional volumes were obtained through multiple slice T2-weighted echo planar imaging (EPI) sequences, utilizing the following parameters: repetition time of 1500 ms, echo time of 30 ms, flip angle of 75°, field of view measuring 192 × 192 mm2, 72 slices covering the entire brain, slice thickness of 2 mm, and voxel size of 2 × 2 × 2 mm3. Preprocessing of fMRI data was performed using SPM12 (Wellcome Department of Imaging Neurosciences, University College London, U.K.) in the MATLAB 2020b (The MathWorks Inc). The images underwent slice timing correction, motion correction, coregistration and normalization to Montreal Neurological Institute (MNI) space with a spatial resolution of 2 × 2 × 2 mm3, and smoothing with an isotropic Gaussian kernel of 6 mm. Moreover, the fMRI data was high-pass filtered at a cutoff of 128 Hz.
description: The data acquisition was conducted using a Siemens Prisma 3.0 T MRI machine. Functional volumes were obtained through multiple slice T2-weighted echo planar imaging (EPI) sequences, utilizing the following parameters: repetition time of 1500 ms, echo time of 30 ms, flip angle of 75°, field of view measuring 192 × 192 mm2, 72 slices covering the entire brain, slice thickness of 2 mm, and voxel size of 2 × 2 × 2 mm3. Preprocessing of fMRI data was performed using SPM12 (Wellcome Department of Imaging Neurosciences, University College London, U.K.) in the MATLAB 2020b (The MathWorks Inc). The images underwent slice timing correction, motion correction, coregistration and normalization to Montreal Neurological Institute (MNI) space with a spatial resolution of 2 × 2 × 2 mm3, and smoothing with an isotropic Gaussian kernel of 6 mm. Moreover, the fMRI data was high-pass filtered at a cutoff of 128 Hz.
DOI: 10.57760/sciencedb.13299
title: A high-precision optical satellite remote sensing images dataset of the Xuhui district in Shanghai for urban three-dimensional reconstruction
title: 用于城市三维重建的上海徐汇地区高精度光学卫星遥感影像数据集

description: There is still a lack of multi-view, high-resolution satellite image datasets with high pose estimation accuracy domestically and abroad. This severely hinders research on 3D reconstruction using satellite imagery. In response to this situation, this study utilizes seven remote sensing scenes from the Beijing-3 satellite over the area surrounding the Shanghai Gymnasium in Xuhui District, Shanghai, from 2021-2023. Through image registration, adaptive HIS Pan-sharpening, rough RPC adjustment, and bundle adjustment optimization etc., two AOIs of 0.73 km2 and 0.25 km2 were obtained. This satellite image dataset will provide powerful data support for subsequent research on city-scale 3D reconstruction from satellite imagery, especially those based on NeRF frameworks.
description: There is still a lack of multi-view, high-resolution satellite image datasets with high pose estimation accuracy domestically and abroad. This severely hinders research on 3D reconstruction using satellite imagery. In response to this situation, this study utilizes seven remote sensing scenes from the Beijing-3 satellite over the area surrounding the Shanghai Gymnasium in Xuhui District, Shanghai, from 2021-2023. Through image registration, adaptive HIS Pan-sharpening, rough RPC adjustment, and bundle adjustment optimization etc., two AOIs of 0.73 km2 and 0.25 km2 were obtained. This satellite image dataset will provide powerful data support for subsequent research on city-scale 3D reconstruction from satellite imagery, especially those based on NeRF frameworks.
DOI: 10.57760/sciencedb.15520
title: Global Reservoir Inventory of the post-2000 impoundment (GREI-p2k)
title: Global Reservoir Inventory of the post-2000 impoundment (GREI-p2k)

description: The global reservoir inventory of the post-2000 impoundment (GREI-p2k) contains 6,760 post-2000 reservoirs, with a total water area of 53,183.90 km2 and a total reservoir storage capacity of 1,287.69 km3, of which 139 reservoirs have a storage capacity greater than 1 km3, accounting for 69.45% of the total capacity. The attributes of all reservoirs include location information (longitude, latitude, and country), inundation area, and estimated storage capacity. Additionally, we compiled other significant attributes for reservoirs with a storage capacity greater than 1 km³ based on existing global reservoir datasets like GRanD and an extensive review of the literature. These attributes include the name, year of construction, primary uses, and recorded storage capacity of the reservoir.
description: The global reservoir inventory of the post-2000 impoundment (GREI-p2k) contains 6,760 post-2000 reservoirs, with a total water area of 53,183.90 km2 and a total reservoir storage capacity of 1,287.69 km3, of which 139 reservoirs have a storage capacity greater than 1 km3, accounting for 69.45% of the total capacity. The attributes of all reservoirs include location information (longitude, latitude, and country), inundation area, and estimated storage capacity. Additionally, we compiled other significant attributes for reservoirs with a storage capacity greater than 1 km³ based on existing global reservoir datasets like GRanD and an extensive review of the literature. These attributes include the name, year of construction, primary uses, and recorded storage capacity of the reservoir.
DOI: 10.57760/sciencedb.17093
title: Panel data for 30 provinces in China
title: 中国30个省份面板数据(2000-2021年)

description: Panel data of indicators in 30 provinces of China from 2000 to 2021, including: resident population, gross domestic product, transportation industry output value, transportation energy consumption, passenger/goods turnover, etc., a total of 18 indicators.
description: Panel data of indicators in 30 provinces of China from 2000 to 2021, including: resident population, gross domestic product, transportation industry output value, transportation energy consumption, passenger/goods turnover, etc., a total of 18 indicators.
DOI: 10.57760/sciencedb.01817
title: Code for down-sampling analysis and human-chimpanzee model
title: Code for down-sampling analysis and human-chimpanzee model

description: Down-sampling analysis: Down-sampling analysis of network edge density between networks formed by different gene sets. P values were calculated by empirically estimating the probability of observing a denser network by randomly sampling 10,000 subnetworks of the same counts of genes from background interactome.CH-model: For a gene, we derive the expected number of de novo events in a given population based on the mutability of the gene and the number of probands sequenced, compare the observed number of de novo variants against expectation using a binormal model.
description: Down-sampling analysis: Down-sampling analysis of network edge density between networks formed by different gene sets. P values were calculated by empirically estimating the probability of observing a denser network by randomly sampling 10,000 subnetworks of the same counts of genes from background interactome.CH-model: For a gene, we derive the expected number of de novo events in a given population based on the mutability of the gene and the number of probands sequenced, compare the observed number of de novo variants against expectation using a binormal model.
DOI: 10.57760/sciencedb.07022
title: Dataset of glacier mass balance sequences in the Kanchenjunga Basin during 1990-2018
title: 1990-2018年干城章嘉流域冰川物质平衡序列数据集

description: This dataset uses the glacier surface energy-mass balance model to reconstruct the glacial mass balance sequence from 1990 to 2018 in the Kanchenjunga Basin (27°50'-28°10'N, 87°50'-88°09'E), and the meteorological driving data are derived from the China Meteorological Forcing Dataset;Based on the ITS_LIVE dataset, the average annual flow velocity of glaciers in different elevation zones with 100 m intervals in the basin from 1989 to 2018 was extracted.The glaciers in the file are named after the glaciers of The Second Glacier Inventory Dataset of China (Version 1.0), in which the mass balance dataset is a daily scale, including the elevation zone area, material accumulation, material ablation and material balance amount, and the file format is txt;The glacier flow velocity dataset is an annual scale, including the average annual flow rate of each glacier elevation zone and glacier, and the file format is csv.
description: This dataset uses the glacier surface energy-mass balance model to reconstruct the glacial mass balance sequence from 1990 to 2018 in the Kanchenjunga Basin (27°50'-28°10'N, 87°50'-88°09'E), and the meteorological driving data are derived from the China Meteorological Forcing Dataset;Based on the ITS_LIVE dataset, the average annual flow velocity of glaciers in different elevation zones with 100 m intervals in the basin from 1989 to 2018 was extracted.The glaciers in the file are named after the glaciers of The Second Glacier Inventory Dataset of China (Version 1.0), in which the mass balance dataset is a daily scale, including the elevation zone area, material accumulation, material ablation and material balance amount, and the file format is txt;The glacier flow velocity dataset is an annual scale, including the average annual flow rate of each glacier elevation zone and glacier, and the file format is csv.
DOI: 10.57760/sciencedb.09664
title: 16S data on Hengduan Mountains region
title: 16S data on Hengduan Mountains region

description: 93 soil samples collected from three mountains along elevational gradients
description: 93 soil samples collected from three mountains along elevational gradients
DOI: 10.57760/sciencedb.14382
title: GooseDetect^lion
title: GooseDetect^lion

description: The GooseDetect^lion is the first large lion-head goose detection dataset, which consists of 2,660 images and 98,111 bounding box annotations. The dataset was collected with 6 cameras deployed in a goose farm in Chenghai district of Shantou city, Guangdong province. Images sampled from videos collected during July 9 -10 in 2022 were fully annotated by a team of fifty volunteers. The data were collected by 6 cameras deployed in a lion-head goose farm. The dataset contains 2 categories of geese defined chronologically: big geese and small geese. The big geese are older than 9 weeks, and the small ones are between 5 and 8 weeks. It is fully and manually annotated at the frame level, with following labels:• Bounding boxes: The position of each goose in an image is given in the form of a bounding box.• Goose category tags: Each goose is labelled by a goose category tag, i.e., “big goose” or “small goose”.Our dataset was uploaded in VOC2007 format, which contains 2660 images(.jpg) and corresponding annotation files(.xml).
description: The GooseDetect^lion is the first large lion-head goose detection dataset, which consists of 2,660 images and 98,111 bounding box annotations. The dataset was collected with 6 cameras deployed in a goose farm in Chenghai district of Shantou city, Guangdong province. Images sampled from videos collected during July 9 -10 in 2022 were fully annotated by a team of fifty volunteers. The data were collected by 6 cameras deployed in a lion-head goose farm. The dataset contains 2 categories of geese defined chronologically: big geese and small geese. The big geese are older than 9 weeks, and the small ones are between 5 and 8 weeks. It is fully and manually annotated at the frame level, with following labels:• Bounding boxes: The position of each goose in an image is given in the form of a bounding box.• Goose category tags: Each goose is labelled by a goose category tag, i.e., “big goose” or “small goose”.Our dataset was uploaded in VOC2007 format, which contains 2660 images(.jpg) and corresponding annotation files(.xml).