cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.09416
title: Genetic data from 4 leafless vanilla populations
title: Genetic data from 4 leafless vanilla populations

description: We collected 25 leafless vanilla samples from four sites {Ambatofaly (ABF), Ampitolova (APL), Vohitsara (VHT) and Ampotaka (APTK)}. We removed 15 cm of stems or young buds and preserved them in silica gel, obtaining a total of 100 individuals for the four populations. DNA extraction was performed using Qiagen's DNEASY® plant kit for all 100 specimens. Seven microsatellite markers developed by Gigant et al (2011) were used to amplify and genotype each individual. Polymerase chain reaction (PCR) with fluorescently-labeled primers was performed in a total volume of 25 μl using a Promega kit (Promega, 2007). The mixture contained 12.5 μl of GoTaq Colourless Master Mix 2X, 2 μl of DNA solution (5 &lt; DNA &lt; 250 ng), 0.4 μM of each primer and 8.5 μl of nuclease-free water. Capillary electrophoresis with an ABI 3130XL automated genetic analyzer (Applied Biosystems) was used to genotype PCR fragments. GENEIOUS PRIME 2019.1 was used for allele size coding.
description: We collected 25 leafless vanilla samples from four sites {Ambatofaly (ABF), Ampitolova (APL), Vohitsara (VHT) and Ampotaka (APTK)}. We removed 15 cm of stems or young buds and preserved them in silica gel, obtaining a total of 100 individuals for the four populations. DNA extraction was performed using Qiagen's DNEASY® plant kit for all 100 specimens. Seven microsatellite markers developed by Gigant et al (2011) were used to amplify and genotype each individual. Polymerase chain reaction (PCR) with fluorescently-labeled primers was performed in a total volume of 25 μl using a Promega kit (Promega, 2007). The mixture contained 12.5 μl of GoTaq Colourless Master Mix 2X, 2 μl of DNA solution (5 &lt; DNA &lt; 250 ng), 0.4 μM of each primer and 8.5 μl of nuclease-free water. Capillary electrophoresis with an ABI 3130XL automated genetic analyzer (Applied Biosystems) was used to genotype PCR fragments. GENEIOUS PRIME 2019.1 was used for allele size coding.
DOI: 10.57760/sciencedb.j00177.00003
title: Atomic mass excesses and related physical quantities & nuclear charge radii
title: 原子质量剩余及其相关物理量&原子核电荷半径

description: This table is divided into the following three parts:1、Predicted atomic mass excesses or binding energies based on the AME2020 database;2、Predicted one(two)-nucleon separation energies, alpha decay energies and double-beta decay energies based on the AME2020 database;3、Predicted nuclear charge radii based on the CR2013 database.
description: This table is divided into the following three parts:1、Predicted atomic mass excesses or binding energies based on the AME2020 database;2、Predicted one(two)-nucleon separation energies, alpha decay energies and double-beta decay energies based on the AME2020 database;3、Predicted nuclear charge radii based on the CR2013 database.
DOI: 10.57760/sciencedb.j00125.00032
title: Highly lithiophilic Ti3C2Tx-MXene anchored on flexible carbon foam scaffolds toward dendrite-free lithium metal anode
title: 高亲锂性的Ti3C2Tx-MXene锚定在柔性碳泡沫骨架上用于无枝晶锂金属负极

description: Undesired Li dendrite growth, unstable solid electrolyte interfaces (SEI), and infinite volume change of metallic Li during cycling greatly limit the practical application of lithium metal batteries (LMBs). Herein, a lithiophilic Ti3C2Tx MXene modified the carbon foam (CF@Ti3C2Tx-MX) is elaborately designed to regulate Li nucleation behaviors and mitigate volume change of lithium metal anode (LMAs) for harvesting highly-stable LMBs. Thereinto, the 3D CF skeleton with a high specific surface area not only reduces the local current density for avoiding concentration polarization, but also provides enough space for relieving volume expansion during the cycling. More importantly, the excellent lithiophilicity of Ti3C2Tx-MX endowed by the abundant functional groups can effectively reduce the Li nucleation overpotential, guide uniform Li deposition without Li dendrites formation, and maintain a stable interface on the anode surface. Consequently, the assembled Li-CF@Ti3C2Tx-MX symmetrical cell exhibits an excellent cycle stability for more than 2400 h with a low overpotential of 9 mV at current density of 4 mA cm-2 with capacity of 1 mA h cm-2. Furthermore, the Li-CF@Ti3C2Tx-MX||NCM111 full cell still delivers capacity of 129.6 mA h g-1 after 330 cycles at 1 C, demonstrating its significance in constructing stable LMAs.
description: Undesired Li dendrite growth, unstable solid electrolyte interfaces (SEI), and infinite volume change of metallic Li during cycling greatly limit the practical application of lithium metal batteries (LMBs). Herein, a lithiophilic Ti3C2Tx MXene modified the carbon foam (CF@Ti3C2Tx-MX) is elaborately designed to regulate Li nucleation behaviors and mitigate volume change of lithium metal anode (LMAs) for harvesting highly-stable LMBs. Thereinto, the 3D CF skeleton with a high specific surface area not only reduces the local current density for avoiding concentration polarization, but also provides enough space for relieving volume expansion during the cycling. More importantly, the excellent lithiophilicity of Ti3C2Tx-MX endowed by the abundant functional groups can effectively reduce the Li nucleation overpotential, guide uniform Li deposition without Li dendrites formation, and maintain a stable interface on the anode surface. Consequently, the assembled Li-CF@Ti3C2Tx-MX symmetrical cell exhibits an excellent cycle stability for more than 2400 h with a low overpotential of 9 mV at current density of 4 mA cm-2 with capacity of 1 mA h cm-2. Furthermore, the Li-CF@Ti3C2Tx-MX||NCM111 full cell still delivers capacity of 129.6 mA h g-1 after 330 cycles at 1 C, demonstrating its significance in constructing stable LMAs.
DOI: 10.57760/sciencedb.08796
title: Why Does Helping the Weak Stop at Small Benefits?
title: Why Does Helping the Weak Stop at Small Benefits?

description: data for two studies.
description: data for two studies.
DOI: 10.57760/sciencedb.09370
title: Raw 16S rDNA sequencing data of gut microbiome from mice exposed by ozone
title: Raw 16S rDNA sequencing data of gut microbiome from mice exposed by ozone

description: Raw 16S rDNA sequencing data sets of cecal and colonic microbiome from BALB/c mice exposed by air (as control), 0.5 ppm O3, 2.5 ppm O3 for 4 and 12 weeks, respectively. The detailed groups are as follows:air4.x.Cm: cecal microbiome from mice exposed by air for 4 weeks;air4.x.Cn: colonic microbiome from mice exposed by air for 4 weeks;L4.x.Cm: cecal microbiome from mice exposed by 0.5 ppm O3 for 4 weeks;L4.x.Cn: colonic microbiome from mice exposed by 0.5 ppm O3 for 4 weeks;H4.x.Cm: cecal microbiome from mice exposed by 2.5 ppm O3 for 4 weeks;H4.x.Cn: colonic microbiome from mice exposed by 2.5 ppm O3 for 4 weeks;air12.x.Cm: cecal microbiome from mice exposed by air for 12 weeks;air12.x.Cn: colonic microbiome from mice exposed by air for 12 weeks;L12.x.Cm: cecal microbiome from mice exposed by 0.5 ppm O3 for 12 weeks;L12.x.Cn: colonic microbiome from mice exposed by 0.5 ppm O3 for 12 weeks;H12.x.Cm: cecal microbiome from mice exposed by 2.5 ppm O3 for 12 weeks;H12.x.Cn: colonic microbiome from mice exposed by 2.5 ppm O3 for 12 weeks.
description: Raw 16S rDNA sequencing data sets of cecal and colonic microbiome from BALB/c mice exposed by air (as control), 0.5 ppm O3, 2.5 ppm O3 for 4 and 12 weeks, respectively. The detailed groups are as follows:air4.x.Cm: cecal microbiome from mice exposed by air for 4 weeks;air4.x.Cn: colonic microbiome from mice exposed by air for 4 weeks;L4.x.Cm: cecal microbiome from mice exposed by 0.5 ppm O3 for 4 weeks;L4.x.Cn: colonic microbiome from mice exposed by 0.5 ppm O3 for 4 weeks;H4.x.Cm: cecal microbiome from mice exposed by 2.5 ppm O3 for 4 weeks;H4.x.Cn: colonic microbiome from mice exposed by 2.5 ppm O3 for 4 weeks;air12.x.Cm: cecal microbiome from mice exposed by air for 12 weeks;air12.x.Cn: colonic microbiome from mice exposed by air for 12 weeks;L12.x.Cm: cecal microbiome from mice exposed by 0.5 ppm O3 for 12 weeks;L12.x.Cn: colonic microbiome from mice exposed by 0.5 ppm O3 for 12 weeks;H12.x.Cm: cecal microbiome from mice exposed by 2.5 ppm O3 for 12 weeks;H12.x.Cn: colonic microbiome from mice exposed by 2.5 ppm O3 for 12 weeks.
DOI: 10.57760/sciencedb.09578
title: The 4C In planta Quantitative Biotinylproteomics Studies Reveal a WInd-Related Kinase 1 (WIRK1) Functioning as An Early Signaling Component in Wind-induced Thigmomorphogenesis and Gravitropism
title: The 4C In planta Quantitative Biotinylproteomics Studies Reveal a WInd-Related Kinase 1 (WIRK1) Functioning as An Early Signaling Component in Wind-induced Thigmomorphogenesis and Gravitropism

description: Wind is one of the most prevalent environmental forces entraining plants to develop various mechano-responses, collectively called thigmomorphogenesis. Largely unknown is how plants transduce these versatile wind force signals downstream to nuclear events and to the development of thigmomorphogenic phenotype or anemotropic response. To identify molecular components at the early steps of the wind drag force signaling, two mechanical signals-regulated phosphoproteins, identified from our previous phosphoproteomic study of Arabidopsis touch response, mitogen-activated protein kinase kinase 1 (MKK1) and 2 (MKK2), were selected for performing in planta TurboID (ID)-based proximity-labeling (PL) proteomics. This quantitative biotinylproteomics was separately performed on MKK1-ID and MKK2-ID transgenic plants, respectively, using the TurboID overexpression transgenics as a universal control. This quantitative biotinylproteomic work successfully identified 11 and 71 MKK1- and MKK2- associated proteins, respectively. The raw data and mascot search results were summarized and uploaded here.
description: Wind is one of the most prevalent environmental forces entraining plants to develop various mechano-responses, collectively called thigmomorphogenesis. Largely unknown is how plants transduce these versatile wind force signals downstream to nuclear events and to the development of thigmomorphogenic phenotype or anemotropic response. To identify molecular components at the early steps of the wind drag force signaling, two mechanical signals-regulated phosphoproteins, identified from our previous phosphoproteomic study of Arabidopsis touch response, mitogen-activated protein kinase kinase 1 (MKK1) and 2 (MKK2), were selected for performing in planta TurboID (ID)-based proximity-labeling (PL) proteomics. This quantitative biotinylproteomics was separately performed on MKK1-ID and MKK2-ID transgenic plants, respectively, using the TurboID overexpression transgenics as a universal control. This quantitative biotinylproteomic work successfully identified 11 and 71 MKK1- and MKK2- associated proteins, respectively. The raw data and mascot search results were summarized and uploaded here.
DOI: 10.25345/c5z60cf0n
title: MassIVE MSV000097741 - Discovery of lydiamycin A biosynthetic gene cluster in the plant pathogen Rhodococcus fascians guides structural revision and identification of molecular target
title: Data used for molecular networking in study of lydiamycin from Rhodococcus fascians (bioRxiv DOI: 10.1101/2024.11.13.623425)
DOI: 10.57760/sciencedb.09448
title: Exploring Application of Large Language Model in Scientific Data Analysis
title: 大模型技术在科学数据分析中的探索应用

description: The text comprehension ability of large model technology can be used for scientific data analysis. By entering the description text of scientific data resources and analysis tools in the prompt words, the large model can perceive the existence of data resources and analysis tools and be able to selectively determine the analysis subjects (i.e. data resources) and analysis tools (i.e. analysis tools) in later analysis tasks. By representing the analysis task as a &lt;background, data, tools, steps&gt; quad and using it as prompt words against the large model, the large model can reuse analysis tools and generate a reliable data analysis workflow by paying attention to the 'steps'.
description: The text comprehension ability of large model technology can be used for scientific data analysis. By entering the description text of scientific data resources and analysis tools in the prompt words, the large model can perceive the existence of data resources and analysis tools and be able to selectively determine the analysis subjects (i.e. data resources) and analysis tools (i.e. analysis tools) in later analysis tasks. By representing the analysis task as a &lt;background, data, tools, steps&gt; quad and using it as prompt words against the large model, the large model can reuse analysis tools and generate a reliable data analysis workflow by paying attention to the 'steps'.
DOI: 10.57760/sciencedb.07051
title: Actions to achieve rapid coral self-attachment: insights from outplanting nails, coral orientation, and substrate biological condition
title: Actions to achieve rapid coral self-attachment: insights from outplanting nails, coral orientation, and substrate biological condition

description: These data sets are from experiments on the effects of different nails type and coral orientations on coral self-attachment conducted in Sanya, Hainan, from January to August 2022.
description: These data sets are from experiments on the effects of different nails type and coral orientations on coral self-attachment conducted in Sanya, Hainan, from January to August 2022.
DOI: 10.57760/sciencedb.j00001.00866
title: CottonInsect: An image dataset for cotton field insect identification study
title: 新疆棉田主要昆虫图像数据集CottonInsect

description: To solve the problem of insect classification and detection in cotton fields under complex backgrounds, the cotton field insect recognition research image dataset is constructed. This dataset contains 13 common cotton field insects, with a total of 3225 images and a total of 24GB of original images. These image data were collected from different times, locations, and environments, including images of cotton field insects in different postures and growth stages in the real environment. Datasets are manually filtered and annotated into two formats: image classification and object detection. Ultimately, it can provide basic data for tasks such as insect image classification and object detection in cotton fields. 
description: To solve the problem of insect classification and detection in cotton fields under complex backgrounds, the cotton field insect recognition research image dataset is constructed. This dataset contains 13 common cotton field insects, with a total of 3225 images and a total of 24GB of original images. These image data were collected from different times, locations, and environments, including images of cotton field insects in different postures and growth stages in the real environment. Datasets are manually filtered and annotated into two formats: image classification and object detection. Ultimately, it can provide basic data for tasks such as insect image classification and object detection in cotton fields.
DOI: 10.57760/sciencedb.07946
title: Environmental characteristics and leaf functional traits of Caryopteris mongholica
title: Environmental characteristics and leaf functional traits of Caryopteris mongholica

description: We selected 40 representative populations of C. mongholica, and the 40 sample sites were mainly located in northwestern China (36°06′N - 45°39′N and 96°21′E - 116°45′E), which experiences a typical temperate continental arid climate. We determined 11 leaf functional traits of Caryopteris mongholica from 40 populations， including leaf width, length, area , perimeter, aspect ratio, shape factor, specific leaf area, dry matter content, carbon , nitrogen and phosphorus content per unit mass. The data also included longitude, latitude, elevation and 17 climatic features of 40 sites.
description: We selected 40 representative populations of C. mongholica, and the 40 sample sites were mainly located in northwestern China (36°06′N - 45°39′N and 96°21′E - 116°45′E), which experiences a typical temperate continental arid climate. We determined 11 leaf functional traits of Caryopteris mongholica from 40 populations， including leaf width, length, area , perimeter, aspect ratio, shape factor, specific leaf area, dry matter content, carbon , nitrogen and phosphorus content per unit mass. The data also included longitude, latitude, elevation and 17 climatic features of 40 sites.
DOI: 10.57760/sciencedb.09709
title: sRNA sequence dataset
title: sRNA sequence dataset

description: Total RNAs were extracted from the culture supernatants of WT Trichoderma harzianum (Th) and the engineered Th-GFPi and Th-Pmt2i strains with TRIzol reagent (Invitrogen). sRNA libraries were prepared and sequenced with a unique molecular identifier (UMI)-based technology on the DNBSEQ platform by BGI. Three biological repeats were sequenced for each strain, and two Th-Pmt2i strains were sequenced. There are 12 datasets in this study, including Th (Th_1, Th_2, and Th_3), Th-GFPi (G2_1, G2_2, and G2_3), Th-Pmt2i-1 (P1_1, P1_2, and P1_3) and Th-Pmt2i-2 (P2_1, P2_2, and P2_3).
description: Total RNAs were extracted from the culture supernatants of WT Trichoderma harzianum (Th) and the engineered Th-GFPi and Th-Pmt2i strains with TRIzol reagent (Invitrogen). sRNA libraries were prepared and sequenced with a unique molecular identifier (UMI)-based technology on the DNBSEQ platform by BGI. Three biological repeats were sequenced for each strain, and two Th-Pmt2i strains were sequenced. There are 12 datasets in this study, including Th (Th_1, Th_2, and Th_3), Th-GFPi (G2_1, G2_2, and G2_3), Th-Pmt2i-1 (P1_1, P1_2, and P1_3) and Th-Pmt2i-2 (P2_1, P2_2, and P2_3).
DOI: 10.57760/sciencedb.space.00865
title: Ionospheric vertical detection by using chaotic coding
title: Ionospheric vertical detection by using chaotic coding

description: The vertical ionosonde is set up in Yinchuan, the Ningxia Hui Autonomous Region. The ionosonde detected ionized stratum by using chaotic coding.
description: The vertical ionosonde is set up in Yinchuan, the Ningxia Hui Autonomous Region. The ionosonde detected ionized stratum by using chaotic coding.
DOI: 10.57760/sciencedb.07198
title: Dataset for Design of novel stretchable and self-powered sensing device for portable and remote trace biomarkers detection
title: Dataset for Design of novel stretchable and self-powered sensing device for portable and remote trace biomarkers detection

description: This is a dataset for Design of novel stretchable and self-powered sensing device for portable and remote trace biomarkers detection
description: This is a dataset for Design of novel stretchable and self-powered sensing device for portable and remote trace biomarkers detection
DOI: 10.57760/sciencedb.09804
title: Magnetic induction heating and drug release properties of magnetic carbon nanotubes （supporting information）
title: Magnetic induction heating and drug release properties of magnetic carbon nanotubes （supporting information）

description: This data is the supporting information of a research paper entitled "Magnetic induction heating and drug release properties of magnetic carbon nanotubes", which has been submitted to the Journal of International Hyperthermia
description: This data is the supporting information of a research paper entitled "Magnetic induction heating and drug release properties of magnetic carbon nanotubes", which has been submitted to the Journal of International Hyperthermia
DOI: 10.57760/sciencedb.09749
title: Data for "Finite-Time Sliding-Mode Observer based Distributed Robust Fault Tolerant Control for Multi-agent Systems against Actuator and Sensor Faults"
title: Data for "Finite-Time Sliding-Mode Observer based Distributed Robust Fault Tolerant Control for Multi-agent Systems against Actuator and Sensor Faults"

description: This is the simulation data output for "Finite-Time Sliding-Mode Observer based Distributed Robust Fault Tolerant Control for Multi-agent Systems against Actuator and Sensor Faults".
description: This is the simulation data output for "Finite-Time Sliding-Mode Observer based Distributed Robust Fault Tolerant Control for Multi-agent Systems against Actuator and Sensor Faults".
DOI: 10.57760/sciencedb.07674
title: A dataset of water physical and chemical properties in Xingkai Lake from 2011 to 2018
title: 2011–2018年兴凯湖水体物理和化学指标监测数据集

description: In this paper, the physical and chemical properties of water quality at 10 monitoring points of Heilongjiang Xingkai Lake wetland ecosystem national observation and research station from 2011 to 2018 were reported. The dataset contained 4 physical parameters and 15 chemical parameters. The data obtained from the collection, storage and transportation of samples and laboratory analysis were strictly based on national standards and quality control systems, it can response exactly the development trend of water quality change in Xingkai Lake, and contributes basic data support for the study of the relationship between wetland hydrological processes and structure and function in the Xingkai Lake, integrated watershed management, and ecological security of the China and Russia boundary lake.
description: In this paper, the physical and chemical properties of water quality at 10 monitoring points of Heilongjiang Xingkai Lake wetland ecosystem national observation and research station from 2011 to 2018 were reported. The dataset contained 4 physical parameters and 15 chemical parameters. The data obtained from the collection, storage and transportation of samples and laboratory analysis were strictly based on national standards and quality control systems, it can response exactly the development trend of water quality change in Xingkai Lake, and contributes basic data support for the study of the relationship between wetland hydrological processes and structure and function in the Xingkai Lake, integrated watershed management, and ecological security of the China and Russia boundary lake.