2026-05-17T05:48:04Z https://www.scidb.cn/oai
10.57760/sciencedb.space.03579 2026-05-15T15:46:21Z
2026-05-15 Stable throughput of the service network channel under different frame lengths doi:10.57760/sciencedb.space.03579 en Stable throughput of the service network channel under different frame lengths; Round-trip time results of the service network channel; Continuous transmission performance of the high speed engineering data channe. service network; length; throughput Pengfei Zhang PUBLIC https://creativecommons.org/licenses/by-nc-nd/4.0/ dataset Science Data Bank
10.57760/sciencedb.37329 2026-05-15T15:18:27Z
2026-05-15 Dataset of Ku-band Geophysical Model Function Modeling at Low Incidence Angles Based on CFOSAT/SWIM doi:10.57760/sciencedb.37329 en The microwave spectrometer (Surface Waves Investigation and Monitoring, SWIM) carried on the China France Oceanography Satellite (CFOSAT) can measure the backscattering coefficient of the global sea surface under small incident angle conditions. This dataset is based on SWIM backscatter observation data from August 2022, combined with wind field observation data from the China France Marine Satellite Microwave Scatterometer (CSCAT), buoy wind field observation data, and related auxiliary analysis data. The backscattering coefficient wind field relationship in the range of 5-11 ° incidence angle and 0-20m/s wind speed is modeled, and the corresponding Geophysical Model Function (GMF) table is obtained. The dataset mainly includes a linear form of GMF result table, the boxwise average data used for modeling and fitting, and an example dataset. The GMF result table is located in the \ GMF \ RESULTS directory, and the average data of the sub boxes is located in the \ GMF \ RESULTS directory, both stored in. nc format files. The data corresponds to an effective incident angle range of 5-11 ° with an interval of 1 °, an effective wind speed range of 0-20m/s with an interval of 0.2m/s, an effective azimuth range of 0-180 ° with an interval of 2.5 °.  Geophysical model function; Backscattering coefficient; SWIM Dong Ziming PUBLIC https://creativecommons.org/licenses/by-nc/4.0/ dataset Science Data Bank
10.57760/sciencedb.j00289.00305 2026-05-15T14:59:10Z
2026-05-15 Research on the impact mechanism on the implementation of patent open licensing: A perspective based on technology diffusion doi:10.57760/sciencedb.j00289.00305 en This article takes 2696 patents that submitted open license statements and 4125 patent open license contracts that were filed during the Guangdong Province patent open license pilot period from July 2022 to January 2024 as research samples. If the filing date of a patent license contract falls within the period from the publication date of the patent open license statement to January 19, 2024, then the filed patent license contract shall be deemed as a patent open license contract. According to the patent license filing information released by the China National Intellectual Property Administration, this paper counts the licensing contract filing of 2696 patents one by one, and a total of 558 patents have signed 4125 patent opening license contracts.  Patent Open Licensing; Technology Diffusion; Open Innovation Yuan Xiaodong lei ming yu Cao Luli Yang Xuefan EMBARGO https://creativecommons.org/licenses/by-nc-nd/4.0/ dataset Science Data Bank
10.57760/sciencedb.28184 2026-05-15T14:59:01Z
2026-05-15 Influence of the public administration quality on foreign direct investments inflow doi:10.57760/sciencedb.28184 en Foreign Direct Investment (FDI): Net inflows measured in current US dollars, which indicate the amount of investment made by foreign entities in the country.CPIA Quality of Public Administration Rating: A rating from 1 (low) to 6 (high) that assesses the quality of public administration in the country.GDP (Gross Domestic Product): The total economic output of the country measured in current US dollars.Inflation Rate: The annual percentage change in consumer prices, indicating the rate at which prices for goods and services rise.Mobile Cellular Subscriptions: The number of mobile cellular subscriptions per 100 people, reflecting the level of mobile connectivity in the country.Access to Electricity: The percentage of the population with access to electricity, indicating the level of infrastructure development.Exports and Imports of Goods and Services: The total value of goods and services exported and imported, measured in current US dollars.Total Natural Resources Rents: The percentage of GDP derived from natural resources, indicating the economic reliance on natural resource extraction.Control of Corruption Estimate: A measure of corruption levels, where lower values indicate higher perceived corruption.Regulatory Quality Estimate: A measure of the quality of regulations and their enforcement, where higher values indicate better regulatory quality. Public Administration Quality; Foreign Direct Investment (FDI) Inflows; Institutional Quality; Corruption Control; Resource Curse; Africa Onwusiribe Chigozirim Ndubuisi Astratova Galina PUBLIC https://creativecommons.org/publicdomain/zero/1.0/ dataset Science Data Bank
10.57760/sciencedb.37234 2026-05-15T14:58:52Z
2026-05-15 Mitigating stimulated Raman side-scattering driven by broadband laser via high-Z coating doi:10.57760/sciencedb.37234 en Dataset for the paper entitled "Mitigating stimulated Raman side-scattering driven by broadband laser via high-Z coating". stimulated Raman side-scattering; broadband laser; high-Z coating Guoxiao Xu Ning Kang Xichen Zhou Huiya Liu Chengzhuo Xiao Lin Yi Jian Wang Honghai An Jun Xiong Zhiyong Xie Junjian Ye Yuchun Tu Zhiheng Fang Guo Jia Wei Wang Lifeng Wang Anle Lei RESTRICTED dataset Science Data Bank
10.57760/sciencedb.37239 2026-05-15T14:58:38Z
2026-05-15 Pulse number dependent damage mechanism transition in fused silica at 193 nm doi:10.57760/sciencedb.37239 en This data contains experimental data generated during the 193nm fused quartz pulse dependent damage mechanism experiment  fused silica; 193 nm; pulse Wang Jun Zhao Yuan'an PUBLIC https://creativecommons.org/licenses/by-nc-nd/4.0/ dataset Science Data Bank
10.57760/sciencedb.37198 2026-05-15T14:58:29Z
2026-05-15 A Dataset of the Paper "Elevator, Escalator, or Neither? Classifying Conveyor State Using Smartphone under Arbitrary User Behavior" doi:10.57760/sciencedb.37198 en Please see 'Readme.txt' in the folder. More collection details are in the paper: https://ieeexplore.ieee.org/document/11072382 Mobile Computing; IMU; Magnetometer; Classification; Elevator; Escalator; Phone Sensing HE, Tianlang PUBLIC https://creativecommons.org/licenses/by-nc-nd/4.0/ dataset Science Data Bank
10.57760/sciencedb.37270 2026-05-15T14:43:57Z
2026-05-15 Combining Metarhizium anisopliae with spinetoram synergistically suppresses Frankliniella occidentalis by weakening chemical resistance and promoting fungal infection doi:10.57760/sciencedb.37270 en This is the raw data for the manuscript entitled "Combining Metarhizium anisopliae with spinetoram synergistically suppresses Frankliniella occidentalis by weakening chemical resistance and promoting fungal infection" Frankliniella occidentalis; Metarhizium anisopliae; Synergism; Chemical pesticide; Chemical resistance Yu Lu PUBLIC https://creativecommons.org/licenses/by-nc-nd/4.0/ dataset Science Data Bank
10.57760/sciencedb.37262 2026-05-15T14:43:51Z
2026-05-15 Ferroelectric transistor transfer characteristics doi:10.57760/sciencedb.37262 en Comparison of transfer characteristics under different ferroelectric capacitor to transistor area ratio parameters  FeTFT; area ratio; electronic characteristics Yang Peng RESTRICTED dataset Science Data Bank
10.57760/sciencedb.37254 2026-05-15T14:43:44Z
2026-05-15 Electronic properties of ferroelectric capacitors doi:10.57760/sciencedb.37254 en Using a 1500 semiconductor analyzer to test the I-V characteristics of ferroelectric capacitors, the first column shows the time series, the second column shows the voltage values in the time series, and the third column shows the corresponding current values.  ferroelectric capacitors; I-V characteristic; electronic characteristics Yang Peng RESTRICTED dataset Science Data Bank
10.57760/sciencedb.37214 2026-05-15T14:43:34Z
2026-05-15 DFT calculation data for: GSH Activation and Asynchronous O–O Cleavage in a Copper-Plumbagin Complex doi:10.57760/sciencedb.37214 en This dataset contains all computational data supporting the findings of the study "GSH Activation and Asynchronous O–O Cleavage: A DFT Study of Coordination Field Adaptive Catalysis in a Copper-Plumbagin Anticancer Complex".The data includes:Cartesian coordinates (in XYZ format) for all 11 stationary points optimized via DFT: the reactant [Cu(II)(pln)₂], the reduced species [Cu(I)(pln)₂]⁻, the reactant complex, the transition state, the product [Cu(II)(pln)₂(OH)]⁻, and the free ·OH radical.Final single-point energies and thermochemical analysis results (Gibbs free energy) for all species, extracted from ORCA 6.0.1 output files.Python scripts used for geometric parameter analysis (e.g., bond length, dihedral angle calculations) and data processing.The data is provided in standard, open formats to ensure transparency and reproducibility. Using these files alongside the computational methodology described in the manuscript allows for the full replication of the reported reaction energetics, transition state geometry, and the analysis leading to the Coordination Field Adaptive Catalysis (CFAC) hypothesis. DFT; computational data; copper-plumbagin complex Jiang Lingfeng PUBLIC https://creativecommons.org/licenses/by-nc-nd/4.0/ dataset Science Data Bank
10.57760/sciencedb.37243 2026-05-15T14:43:27Z
2026-05-15 Schematic diagram of ferroelectric thin film transistor structure and TEM/ EDS analysis doi:10.57760/sciencedb.37243 en The structure diagram of the ferroelectric thin film transistor was captured by an optical microscope (image1), and the cross-sectional diagram (image2) was captured by a transmission electron microscope and subjected to elemental analysis, which were Ti, Hf, Zr, In, Ga, Zn, and Au respectively. schematic; TEM; EDS Yang Peng RESTRICTED dataset Science Data Bank
10.57760/sciencedb.37147 2026-05-15T14:31:21Z
2026-05-15 γ-Ray Generation via Oscillating Electrons in a Laser-Driven Plasma Wave Wiggler at Near-Critical Density doi:10.57760/sciencedb.37147 en Use PIC simulation software warpx to calculate the physical model, and use Python to draw the graphs. Near-Critical Density Plasma; wiggler; radiation Yang Hetian Luan Shixia Feng Ke Li Song Wang Jingwei Zhan Qiwen Wang Wentao EMBARGO https://creativecommons.org/licenses/by-nc-nd/4.0/ dataset Science Data Bank
10.57760/sciencedb.37229 2026-05-15T14:31:14Z
2026-05-15 Extracellular vesicles WT VS EHD4 KO doi:10.57760/sciencedb.37229 en After Zika virus infected Hela cells and EHD4 KO Hela cells.extracellular vesicles were extracted. The extracellularvesicle proteome was analyzed. Extracellular vesicles; zika virus; EHD4 ZhangYue PUBLIC https://opendatacommons.org/licenses/by/1-0/ dataset Science Data Bank
10.57760/sciencedb.37292 2026-05-15T14:31:06Z
2026-05-15 Simulation Results of Mars Mass Spectrometry Detection doi:10.57760/sciencedb.37292 en The propagation of gases to be tested in different environments on the surface of Mars  mars; volatile ; mars wind Wang Xinyue EMBARGO https://creativecommons.org/licenses/by-nc-nd/4.0/ dataset Science Data Bank
10.57760/sciencedb.37250 2026-05-15T14:30:59Z
2026-05-15 eCLIP-Seq of Ago2 doi:10.57760/sciencedb.37250 en The dataset analyzed in this study was derived from Ago2 eCLIP-seq (enhanced Crosslinking and Immunoprecipitation followed by sequencing) experiments. This dataset aims to capture the RNA binding sites of the Ago2 protein across the whole transcriptome at high resolution, providing key molecular evidence for dissecting RNA interference mechanisms and gene expression regulatory networks.The dataset is supplied as raw output data in FASTQ format. Ago2; eCLIP; High-throughput sequencing (HTS) Xiaoxu Zhu Yujie Ren PUBLIC https://creativecommons.org/licenses/by-nc-nd/4.0/ dataset Science Data Bank
10.57760/sciencedb.31230 2026-05-15T14:30:51Z
2026-05-15 A dataset Of Bladder Cancer doi:10.57760/sciencedb.31230 en A dataset Of Bladder Cancer and how to detect early. cancer; bladder; cd44 Tamer Arkalı PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset Science Data Bank
10.57760/sciencedb.37287 2026-05-15T14:30:45Z
2026-05-15 The multi-level modulation characteristics under different area ratio parameter conditions doi:10.57760/sciencedb.37287 en The first column shows the number of pulses, the second column shows the changes in conductivity values when the area ratio is 0.0625, the second column shows the changes in conductivity values when the area ratio is 0.25, the second column shows the changes in conductivity values when the area ratio is 1, the second column shows the changes in conductivity values when the area ratio is 2.25, and the second column shows the changes in conductivity values when the area ratio is 4.  FeTFT; area ratio; conductance Yang Peng RESTRICTED dataset Science Data Bank
10.57760/sciencedb.37285 2026-05-15T14:30:38Z
2026-05-15 Ferroelectric thin-film transistor multivalued modulation characteristics doi:10.57760/sciencedb.37285 en The dataset contains changes in conductivity values under three testing schemes: the same pulse, increasing pulse width, and increasing pulse amplitude. The first column represents the number of pulses, and the second column represents the conductivity value.  FeTFT; pulse scheme; conductance Yang Peng RESTRICTED dataset Science Data Bank
10.57760/sciencedb.32608 2026-05-15T14:06:01Z
2026-05-15 Modulation of tumor-derived exosomes and reprogramming of cancer-associated fibroblasts for colorectal cancer therapy doi:10.57760/sciencedb.32608 en This study investigates whether and how CRC-derived hypoxic exosomes regulate NAF-to-CAF activation and promote angiogenesis . This hypothesis is supported by multiple machine learning algorithms, clinical data, molecular and genomic analyses, functional status profiling, drug response evaluation, trajectory inference, and cell–cell communication studies using bulk multi-omics and single-cell datasets (pan-cancer with ICB therapy or without therapy information, along with in-house RNA-seq (Table S1), secretome (Table S16), and scRNA-seq data, culminating in in vitro/in vivo experimental validation.  colorectal cancer; hypoxia; exosomes; HIF1Α-AS2; miR-33; cancer-associated fibroblasts; angiogenesis Susu Han Tao Huang Xiaoling Yin Ting Wang Qi Shi Yufei Tang Tingting Zhu Song Gao Hua Sui Fenggang Hou PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset http://www.doi.org/10.1186/s12943-026-02661-2 Science Data Bank
10.57760/sciencedb.37305 2026-05-15T14:05:53Z
2026-05-15 Metal Lidar Observation Dataset Over Beijing During the 2022 Tonga Volcanic Eruption doi:10.57760/sciencedb.37305 en This dataset contains metal ion observations obtained by the metal ion lidar at the Beijing station of the National Space Science Center, Chinese Academy of Sciences, focusing on the period around the 2022 Tonga volcanic eruption. The observations were conducted over the Beijing region (40°N, 116°E) and record the vertical distribution of ionized calcium (Ca⁺) in the ionosphere. Tonga Volcanic Eruption; Metal Ion; Lidar Data; Ionospheric Disturbance; Atmosphere-Ionosphere Coupling; Ca⁺ Ion Layer Jixin GUO EMBARGO https://creativecommons.org/licenses/by-nc-nd/4.0/ dataset Science Data Bank
10.57760/sciencedb.35116 2026-05-15T14:05:44Z
2026-05-15 A Continuous Multimodal Wearable Dataset of Synchronized Cardiac, Kinematic and Heat-Production Signals from Growing Pigs in Open-Circuit Respirometry Chambers (Porcine-CaMo Autumn-2025 Cohort, 3 Chambers / 6 Pigs / 10 Periods / 106 Pig-Days) doi:10.57760/sciencedb.35116 en This dataset (Porcine-CaMo Autumn-2025 Cohort, paper-aligned release) provides continuous multimodal wearable recordings collected from 6 growing pigs (Sus scrofa domesticus) during September–October 2025 in open-circuit respirometry chambers. The experimental design comprised 10 sequential experimental periods over 40 calendar days, spanning chambers A1, B1 and B2, yielding 106 cumulative chamber pig-days (A1: 35 + B1: 41 + B2: 30) that mirror the scope of the companion research paper. All animals wore the same third-generation back-mounted device, simultaneously logging 512 Hz single-lead ECG (BMD101 chipset), 10 Hz three-axis gyroscope and 10 Hz three-axis accelerometer; the latter is also reduced to Vectorial Dynamic Body Acceleration (VeDBA). In parallel, the open-circuit respirometry chambers in B1 and B2 (A1's respirometry hardware was unavailable for this campaign) ran on a 5-min indoor/outdoor alternating sampling schedule, from which 5-min-resolution heat-production (HP) time series were derived via the Brouwer equation, computed by OpenCalori-Swine (https://github.com/zengzhengcheng/OpenCalori-Swine<br>Zenodo DOI: 10.5281/zenodo.20051163). ECG streams were processed with ECG TransUNet (a hybrid CNN-Transformer U-Net; https://github.com/zengzhengcheng/ECG-TransUNet<br>Zenodo DOI: 10.5281/zenodo.20051167) for automatic R-peak detection followed by adaptive statistical correction, producing one per-chamber R-peak label file (e.g. B1heartlabel, covering the full beat sequence for that chamber). Data are released in two parallel quality tiers: Corrected (the full set, one heartlabel per chamber) — R-peak series with electrode-detachment intervals and large-scale noise segments removed and small-scale (< 10 s) noise mean-imputed; and Perfect (a subset) — recordings whose entire file is uniformly clean and close to 100% accurate, copied separately into a perfect/ folder together with the matching .hdf, .huancun and heartlabel files for visualization replay. File lineage follows raw .txt → annotated .hdf → visualized .huancun → per-chamber heartlabel.csv (R-peak labels), accompanied by a merged 5-min per-pig analytical table aligning {animal metadata + HP + motion features + HRV features}, a standalone pig-metadata file, plus an ML-ready feature table derived from this cohort and a matching reference training-script set. The HP prediction model is trained per-cohort separately: this DOI ships the autumn-cohort training features and reference scripts but does not ship pre-trained model weights — downstream users retrain locally following the README and example Notebook (the companion January cohort, DOI 10.57760/sciencedb.35878, follows the same convention). The HRV-processing and IMU-processing pipelines are publicly open-sourced at https://github.com/zengzhengcheng/SwineSync-OpenSource<br>Zenodo DOI: 10.5281/zenodo.20051135; the heart-rate annotation GUI (SwineSync Studio annotator) is retained as an internal product tool distributed only as a Windows executable, while its upstream data-processing code is already open-sourced in the same repository. The release supports precision livestock farming, metabolism–behaviour coupling modelling, welfare phenotyping, and benchmarking of wearable animal-physiology algorithms. precision livestock farming; wearable physiological monitoring; continuous ECG; R-peak detection; heart rate variability; kinematics; VeDBA; open-circuit respirometry chamber; indirect calorimetry; heat production; multimodal data fusion; deep-learning ECG analysis; human-in-the-loop annotation; Brouwer equation; growing pigs Zeng Zhengcheng Tian Siqi Luo Xiangshi Zhang Shuai EMBARGO https://creativecommons.org/licenses/by/4.0/ dataset Science Data Bank
10.57760/sciencedb.35878 2026-05-15T14:05:35Z
2026-05-15 A Continuous Multimodal Wearable Dataset of Synchronized Cardiac, Kinematic and Heat-Production Signals from Growing Pigs in Open-Circuit Respirometry Chambers (Porcine-CaMo January-2025 Cohort, 3 Chambers / 9 Pigs / 22-Day Trial Window / 45 Pig-Days, Accelerometer-Free Configuration with Professionally-Audited ECG Annotation Training Subset) doi:10.57760/sciencedb.35878 en This dataset (Porcine-CaMo January-2025 Cohort, paper-aligned release) provides continuous multimodal wearable recordings collected from 9 small-frame growing pigs (Sus scrofa domesticus, 25–33 kg, ear-tags 1–9) in January 2025 across three open-circuit respirometry chambers, with a 22-day designed trial window (2025-01-10 → 2025-01-26) and 15 effective recording days per chamber × 3 chambers = 45 chamber pig-days actually uploaded. Two key differences from the project's September–October cohort (DOI 10.57760/sciencedb.35116) are: (i) all three chambers (A1, B1, B2) provided functional respirometry during this campaign, so 5-min HP is available for every chamber; and (ii) the back-mounted wearable device for this cohort logged 512 Hz single-lead ECG (BMD101) and 10 Hz three-axis gyroscope plus on-board temperature only, with no accelerometer channel — making this cohort the project's "accelerometer-free" (trailnoacc) anchor for evaluating IMU + HRV → HP modelling under reduced sensor configurations. Raw signals are organized by chamber and date; each recording session produces paired Raw_*.txt (ECG) and AngleTemp_*.txt (gyroscope + temperature) files. Heat production was computed by OpenCalori-Swine (https://github.com/zengzhengcheng/OpenCalori-Swine<br>Zenodo DOI: 10.5281/zenodo.20051163) via the Brouwer equation. ECG streams were processed with ECG TransUNet (https://github.com/zengzhengcheng/ECG-TransUNet<br>Zenodo DOI: 10.5281/zenodo.20051167) for automatic R-peak detection followed by adaptive statistical correction, producing one per-chamber R-peak label series. Because of long retention before publication, the Perfect quality tier of this cohort's ECG was lost and is not part of this DOI; only the Corrected tier is released. As a high-accuracy equivalent subset, this dataset additionally publishes a dedicated top-level ECGModelTrainData/ directory containing ≈ 20 ECG training segments from B1 + B2 — this subset was reviewed by professionally hired human annotators and serves as the base-training corpus of ECG TransUNet (the correction fine-tuning corpus is excellent_data.hdf in the ECG-TransUNet repository root, Git LFS-tracked, independent of and not derived from this directory). Per-chamber 1 Hz integrated signals (*heart.csv + *move_v2.csv), the 5-min ML-ready feature table (A1B1B2_features.csv, 6,812 rows × 158 columns, plus per-chamber slices), five runnable v4 reference training scripts and four work-summary documents are bundled under TrainDataAndCode/. HP prediction models are trained per cohort separately; this DOI ships training features and reference scripts but does not ship pre-trained model weights. The HRV-processing pipeline, the gyroscope-only IMU pipeline and the ECG TransUNet ONNX inference weights are publicly open-sourced at https://github.com/zengzhengcheng/SwineSync-OpenSource<br>Zenodo DOI: 10.5281/zenodo.20051135; the heart-rate annotation GUI (SwineSync Studio annotator) is retained as an internal product tool distributed only as a Windows executable. The release supports precision livestock farming, accelerometer-free metabolism–behaviour modelling, welfare phenotyping, ECG R-peak detection model training, and benchmarking of wearable animal-physiology algorithms. precision livestock farming; wearable physiological monitoring; continuous ECG; R-peak detection; heart rate variability; gyroscope; open-circuit respirometry chamber; indirect calorimetry; heat production; multimodal data fusion; deep-learning ECG analysis; ECG training corpus; expert-audited annotation; Brouwer equation; growing pigs Zeng Zhengcheng Cao Shukai Wang Shupeng Zhang Shuai PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset Science Data Bank
10.57760/sciencedb.j00289.00310 2026-05-15T14:05:27Z
2026-05-15 Research on the Effect of Human-Data Synergy on Corporate Breakthrough Innovation: Evidence from Patent Text Analysis-Appendix doi:10.57760/sciencedb.j00289.00310 en This dataset is a supplementary appendix to the paper "Research on the Effect of Human-Data Synergy on Corporate Breakthrough Innovation: Evidence from Patent Text Analysis". Due to limitations in the length of the main text, all charts not shown in the text are presented in this document, including the effectiveness test results of the corporate breakthrough innovation text indicators, descriptive statistical results, correlation analysis results, robustness test results, and kernel density plots. Through this appendix document, readers can have a more comprehensive and detailed understanding of the empirical process and research conclusions of the paper.  Human-data synergy; Breakthrough innovation; Patent text analysis; Strategic fit view Qin Jiaojiao Guo Aifang PUBLIC https://creativecommons.org/licenses/by-nc-nd/4.0/ dataset Science Data Bank
10.57760/sciencedb.37251 2026-05-15T11:24:40Z
2026-05-15 Hefei 100 m Hourly nitrogen dioxide (NO2) grid dataset doi:10.57760/sciencedb.37251 en This dataset provides hourly, 100 m grid NO₂ concentrations in Hefei City, Anhui Province, China, from January 26, 2021 to April 25, 2022 （daytime 01：00 - 08：00， UTC time）. It is generated by a deep learning model based on multi-source observational data. This model integrates high-resolution traffic flow data and point-of-interest (POI) data at the 100-meter scale to characterize typical emission sources at fine spatial scales and adopts the Gaussian dispersion simulation method to explore the impacts of meteorological conditions and atmospheric transport processes on surface NO₂ concentrations.The reconstructed hourly 100-meter NO₂ datasets were validated using ground monitoring station networks, ground-based remote sensing observations and mobile field measurements, with corresponding correlation coefficients (R) of 0.81, 0.75 and 0.86 respectively. This dataset can support the identification of subtle emission sources and the evaluation of inter-community NO₂ exposure disparities, providing a novel approach for urban air quality evaluation and pollution source apportionment research. Due to limitations of model input datasets, data gaps exist in certain periods, including May-June, October-November 2021, and February 2022.Unit: μg/m³; Spatial coverage: Hefei; Temporal resolution: Hourly; Spatial resolution: 100 m × 100 m. NO2; Hefei; dataset; air pollutant Zhijian Tang PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset Science Data Bank
10.57760/sciencedb.37334 2026-05-15T11:24:34Z
2026-05-15 Data for: Lateral Dynamic Response of a Rectangular Barrette in Layered Transversely Isotropic Soil doi:10.57760/sciencedb.37334 en  This dataset provides the computational results for the lateral dynamic response of a rectangular barrette embedded in layered transversely isotropic soil. In this study, the barrette is modeled as a rectangular elastic Timoshenko beam, and the governing differential equations of the soil-barrette system are derived using Hamilton's Variation Principle. The provided data files contain the calculated real and imaginary parts of the dynamic impedances (horizontal impedance Khh, rocking impedance Kmm, coupled impedance Kmh, and displacement/rotation response factors) across various dimensionless frequencies under different parametric cases. Rectangular barrettes; Timoshenko beam; Hamilton's Variation Principle; Transversely isotropic media; Dynamic analysis Liming Qu PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset Science Data Bank
10.57760/sciencedb.nprd.00150 2026-05-15T11:24:29Z
2026-05-15 Mechanism of Polygonatum sibiricum polysaccharides in the treatment of prostate cancer based on network pharmacology and experimental verification doi:10.57760/sciencedb.nprd.00150 en To investigate the effects of Polygonatum sibiricum polysaccharides (PSP) on the proliferation, migration, invasion, apoptosis, and cell cycle of PC-3 prostate cancer (PCa) cells, and to reveal its association with the phosphatidylinositol 3-kinase (PI3K)/protein kinase B (AKT)/nuclear factor kappa B(NF-κB)/Caspase-3 signaling pathway. CCK-8 assay, wound healing assay, Transwell assay, and flow cytometry were used to detect cell proliferation, migration, invasion, apoptosis, and cell cycle distribution.  Polygonatum sibiricum polysaccharide; prostate cancer; network pharmacology; molecular docking; PI3K/AKT/NF-κB/Caspase-3 Zhao Guobin Tang Yuhong Yan Zhou PUBLIC https://creativecommons.org/licenses/by-nc-nd/4.0/ dataset Science Data Bank
10.57760/sciencedb.37328 2026-05-15T11:24:22Z
2026-05-15 Research on the Effect of Human-Data Synergy on Corporate Breakthrough Innovation: Evidence from Patent Text Analysis-Research Data doi:10.57760/sciencedb.37328 en This data is mainly used to explore the impact of human-data synergy on corporate breakthrough innovation, with A-share manufacturing listed companies from 2007 to 2022 as the research sample. The data content covers human-data synergy, breakthrough innovation, basic characteristics of enterprises, control variables, and related moderating variables. The data mainly comes from the China National Intellectual Property Administration, Innojoy database, CSMAR database, WIND database, etc.  Human-data synergy; Breakthrough innovation; Patent text analysis; Strategic fit view Qin Jiaojiao Guo Aifang RESTRICTED dataset Science Data Bank
10.57760/sciencedb.37333 2026-05-15T11:24:17Z
2026-05-15 Unveiling the spectral morphological division of fast radio bursts with CHIME/FRB Catalog 2 doi:10.57760/sciencedb.37333 en This dataset provides the machine learning classification results and the two-dimensional UMAP projection coordinates for the fast radio burst (FRB) sample analyzed in our study. The sample is based on the CHIME/FRB Catalog 2. This file allows users to identify the assigned cluster of each FRB event and locate its exact position in the UMAP embedding space. CHIME/FRB; FRB; classification; machine learning Wan-Peng Sun Yin-Long Cao Yong-Kun Zhang Ji-Guo Zhang Xiaohui Liu Yichao Li Fu-Wen Zhang Wan-Ting Hou Jing-Fei Zhang Xin Zhang PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset Science Data Bank
10.57760/sciencedb.j00001.01781 2026-05-15T10:59:08Z
2026-05-15 Dataset of 0–10 cm Soil Nitrous Oxide Emissions and Soil Oxygen Concentration Under Long-Term Nitrogen Management Experiments in the Loess Plateau Region (2013—2021) doi:10.57760/sciencedb.j00001.01781 en Long-term and stable monitoring of N₂O emissions and O₂ Concentration changes resulting from agricultural nitrogen fertilizer application in the Loess Plateau region is Conducive to revealing the in-depth impacts of nitrogen fertilizers on ecosystem material cycles, and provides basic data support for subsequent studies on the effects of nitrogen management modes on farmlands. This dataset is based on a long-term nitrogen management experiment initiated in 2010, which includes five treatments: no nitrogen fertilizer application (CK), Conventional nitrogen application (CON), optimized nitrogen application (OPT), optimized nitrogen application combined with nitrification inhibitor (OPT + DCD), and optimized nitrogen application combined with slow-release nitrogen fertilizer (OPT + SR). The dataset mainly comprises monitoring data of farmland N₂O emission fluxes and O₂ Concentrations in 0-10 cm soil under the five treatments, covering the period from 2013 to 2021. The data were surveyed, recorded, input, verified, stored, and audited by different personnel at different times in accordance with a unified management method. Two data tables were formed, namely "N₂O Emission Flux" and "O₂ Concentration in 0-10 cm Soil", Containing a total of 80 data entries. However, relevant data for 2016-2018 are missing from this dataset. This dataset can provide information on the evolution and differences of soil N₂O emissions under Continuous application of different nitrogen management modes in farmlands of the Loess Plateau region, and also offer accurate data support for agricultural nitrogen fertilizer application and high-yield management in this region. The Loess Plateau; nitrogen management mode; N₂O emission flux; O₂ Concentration; 2013—2021 Zhang Wei Li Hanting Guo Miaomiao Guo Shengli Wang Rui PUBLIC https://creativecommons.org/licenses/by-nc-nd/4.0/ dataset Science Data Bank
10.57760/sciencedb.37165 2026-05-15T10:19:34Z
2026-05-15 Ganzhou Municipal Hospital Gland dataset (GZMH_GLAND) doi:10.57760/sciencedb.37165 en Quantitative assessment of glandular formation is a critical parameter in breast cancer diagnosis. While deep learning methods can assist pathologists, datasets specifically targeting breast cancer pathological images remain scarce. Existing datasets often originate from academic challenges, exhibiting limitations such as restricted scale and the over-cleaning of images, which differ from real-world clinical scenarios. We present the Ganzhou Municipal Hospital Gland dataset (GZMH_GLAND), a collection of breast cancer pathological images sourced from a clinical environment, designed for gland segmentation and classification of benign and malignant tumors. The dataset comprises 1,420 high-power field images (1024×1024 pixels) extracted from 31 breast cancer patients. It is accompanied by pixel-level segmentation masks and image-level classification labels. To evaluate clinical generalization and prevent data leakage, a patient-level data splitting strategy was employed. Benchmark testing using classical segmentation and classification networks demonstrates that this dataset preserves the morphological diversity and clinical tissue artifacts of breast glands. This dataset provides a resource for developing and validating automated breast cancer diagnostic models.  breast cancer; pathological images; gland segmentation; benign and malignant classification Libingbing Liuyongan Zhengyihong Wanghuadeng Panxipeng Lanrushi Liangli PUBLIC https://creativecommons.org/licenses/by-nc-nd/4.0/ dataset Science Data Bank
10.57760/sciencedb.j00173.00060 2026-05-15T10:13:42Z
2026-05-15 251059 EP丨Design of a Timing-Controlled Non-Volatile Flip-Flop with Low- Switching-Ratio FeFET doi:10.57760/sciencedb.j00173.00060 en Authors: Du Shimin*, Yang Chang, Wang Lunyao, Zhang ZheAuthor: College of Science & Technology, Ningbo UniversityCorresponding author: Du Shimin, dushimin@nbu.edu.cnOpen source date: May 14th, 2026 Fund projects: National Natural Science Foundation of China (U23A20351, 62304115); Natural Science Foundation of Zhejiang Province (LDT23F04021F04, LDT23F04021), Open Project of Ningbo Key Laboratory of Intelligent Home Appliances(20250621) Open source content Design of a Timing-Controlled Non-Volatile Flip-Flop with Low- Switching-Ratio FeFET Abstract:   Nonvolatile flip-flops (NVFFs) based on ferroelectric field-effect transistors (FeFETs) offer efficient, high-speed data backup and restoration, making them a promising approach for enhancing the performance of nonvolatile processors (NVPs). However, studies have shown that when the FeFET on/off ratio degrades, conventional single-ended flip-flops become susceptible to contention among the MOSFETs inside the latch during power-off recovery. This contention can alter the stored state of the FeFET, leading to data restoration failures. To address this issue, this paper proposes a single-ended recovery circuit tailored for the static single-phase contention-free flip-flop (SSCFF). The proposed structure keeps the FeFET write node at a high level when CLK = 0, thereby eliminating at the source the contention-induced alteration of the FeFET state. Meanwhile, a dual-phase recovery mechanism based on “precharge and state-controlled discharge” is introduced to achieve precise restoration of the pre-power-off data. Experimental results show that the proposed scheme maintains a 100% restoration rate over 2000 Monte Carlo simulations even when the FeFET on/off ratio drops to 10², which reduces the required on/off ratio by two orders of magnitude compared with existing single-ended designs. Furthermore, while sustaining femtojoule (fJ)-level restoration energy, the design reduces the worst-case hold time by 64.6% and the clock-to-output delay by 33.9%. Ferroelectric Field Effect Transistor; Nonvolatile Flip-Flop; Single-Ended Structure; Static Contention-Free Single-Phase-Clocked Flip Flop Du Shimin Yang Chang Wang Lunyao Zhang Zhe RESTRICTED dataset Science Data Bank
10.57760/sciencedb.j00001.01782 2026-05-15T10:08:08Z
2026-05-15 Dataset of Topsoil Moisture and Temperature from 2013 to 2021 in the Long-Term Nitrogen Fertilizer Management Experiment in the Loess Plateau Region doi:10.57760/sciencedb.j00001.01782 en The Loess Plateau is located in the key dryland agricultural zone of China, where frequent drought events and pronounced climate change trends severely restrict the normal growth of crops. Clarifying the characteristics of climatic productivity in dryland farmland can provide an important basis for improving quality and efficiency of regional agriculture and maintaining stable grain production. Meanwhile, unreasonable nitrogen fertilizer management is also a major limiting factor restricting the improvement of grain yield in this region. Based on a long-term located nitrogen fertilizer experiment initiated in 2010, five fertilization treatments were set up in this study, including no-nitrogen control (CK), conventional nitrogen application (CON), reduced and optimized nitrogen application (OPT), optimized nitrogen application combined with dicyandiamide nitrification inhibitor (OPT + DCD), and optimized nitrogen application combined with slow-release fertilizer (OPT + SR). This dataset systematically collects long-term continuous monitoring data of topsoil moisture and temperature under different treatments from 2013 to 2021. All procedures including field investigation, data recording, entry and sorting, verification and inspection, archiving, and quality audit were completed by professional personnel following unified standard protocols. Two data tables of 0–20 cm soil water content as well as surface and soil layer temperature were finally compiled and established, with a total of 573 valid samples. The dataset can provide fundamental data support for efficient utilization of farmland water resources and sustainable development of ecological agriculture on the Loess Plateau, and also offer a reliable data reference for scientific nitrogen fertilization and the establishment of stable and high-yield cultivation and management patterns in regional farmland. The Loess Plateau; nitrogen management mode; Soil Moisture; Soil Surface Temperature and 0-10 cm soil temperature; 2013-2021 Zhang Wei Guo Miaomiao Li Hanting Guo Shengli Wang Rui PUBLIC https://creativecommons.org/licenses/by-nc-nd/4.0/ dataset Science Data Bank
10.57760/sciencedb.37221 2026-05-15T10:06:45Z
2026-05-15 Polydopamine–Polyethylene glycol–Liproxstatin-1 Nanoparticles Inhibit Ferroptosis for Enhanced Treatment of Neutrophilic Asthma doi:10.57760/sciencedb.37221 en Nanomaterial experimental data PDA-PEG-LIP1; ASTHMA; FERROPTOSIS; cell; mice Chen Bao RESTRICTED dataset Science Data Bank
10.57760/sciencedb.j00289.00300 2026-05-15T10:06:40Z
2026-05-15 The impact of Team Diversity on Academics' Creativity doi:10.57760/sciencedb.j00289.00300 en This data is mainly used to analyze the impact of academic structure and career resume diversity of scientific research teams on their members' creativity. 99 teams of the Chinese Academy of Sciences are taken as research samples. The data content includes: members' academic background structure, professional resume, novelty of published papers, team's cognitive friction, knowledge sharing and empowerment leadership level, as well as related control variables. The dataset was constructed using various methods such as resume encoding, questionnaire surveys, and bibliometrics.  team diversity; knowledge sharing; cognitive friction; creativity You Dingyi Tao Zhiyu Wen Ke RESTRICTED dataset Science Data Bank
10.57760/sciencedb.37068 2026-05-15T09:24:12Z
2026-05-15 Phage-adapted E. coli assays with ampicillin and gallium nitrate doi:10.57760/sciencedb.37068 en Populations of EC-WT and EC-Phage-Resistant E. coli were experimentally evolved for ten days under different selection conditions: ampicillin, gallium nitrate, and a combination of ampicillin and gallium nitrate. Following the evolution period, phage resistance was assessed using spot assays. Growth fitness in the presences of ampicillin and gallium nitrate was measured using assays conducted in 96-well plates.  fitness; bacteriophage; resistance Lindsey McGee PUBLIC https://creativecommons.org/licenses/by-nc/4.0/ dataset Science Data Bank
10.57760/sciencedb.37074 2026-05-15T09:24:09Z
2026-05-15 Dataset paper: Tree proximity exerts stronger effects than fertilization on spider community structure in managed temperate grasslands doi:10.57760/sciencedb.37074 en This dataset contains spider community data and associated environmental variables collected from managed temperate grasslands in Uruguay.The study evaluated the effects of grassland fertilization treatments and proximity to trees on spider assemblage structure, including abundance, morphospecies richness, community composition, and functional guild structure.Sampling was conducted using pitfall traps arranged along transects distributed across four management treatments:G = natural grassland,GL = grassland overseeded with legumes,GN060 = grassland with nitrogen fertilization (60 kg N ha−1),GN120 = grassland with nitrogen fertilization (120 kg N ha−1).The dataset includes:1) Community matrices with abundances of spider morphospecies,2) Functional guild classifications,3) Environmental variables associated with each sampling unit,4) R scripts used for statistical analyses and figure generation.Analyses included generalized linear mixed models (GLMM), PERMANOVA, multivariate dispersion analyses, and sample coverage estimation using iNEXT.All adult spider individuals were identified to morphospecies whenever possible and assigned to functional guilds following published classifications. Araneae; functional guilds; grassland intensification; habitat heterogeneity; natural enemies Horacio Silva Luis Quijano Agustina Armand Winona Saracho Carlos Nabinger Luis Fernando Garcia PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset Science Data Bank
10.57760/sciencedb.radars.00063 2026-05-15T09:24:05Z
2026-05-15 LSS-HSR-L：Low-Altitude target recognition dataset based on Holographic Staring Radar doi:10.57760/sciencedb.radars.00063 en LSS-HSR-L: Low-Altitude target recognition dataset based on Holographic Staring Radar. This dataset is collected by L-band holographic gaze radar for low-altitude target data, including Doppler waterfall plot and trajectory data, specifically designed for low altitude slow small target detection and recognition tasks. The data collection locations cover various scenarios such as urban, airport, and suburb in Shenzhen, Changsha, Chongqing, at al. The targets collected in the dataset cover multiple types, totaling 9 categories, which can be classified into four rough categories: the first category is rotary wing unmanned aerial vehicles, including DJI Air3, DJI Mini3 Pro, DJI Mavic 3e, and DJI Phantom 4 RTK; The second type is biological targets, including small sparrows, flocks of birds, and large migratory birds; The third type is ground fixed targets, including ground fixed rotating targets; The fourth category is moving vehicle targets, namely cars.  LSS-HSR-L; holographic staring radar; low-altitude target recognition tian biao Chen Junyan Wan Yanyu Huang Shilin Zhang Yue PUBLIC https://creativecommons.org/licenses/by-nc/4.0/ dataset Science Data Bank
10.57760/sciencedb.36926 2026-05-15T09:24:02Z
2026-05-15 Chromosome-level genome assembly and annotation data for the dung beetle Synapsis davidis doi:10.57760/sciencedb.36926 en This dataset contains the genomic resources generated for the dung beetle Synapsis davidis (Coleoptera: Scarabaeidae), a large-bodied Scarabaeinae species endemic to China. The dataset includes clean sequencing data generated from PacBio HiFi long-read sequencing, Illumina short-read sequencing, Hi-C sequencing, and RNA-seq, as well as the final chromosome-level genome assembly, repeat annotation, gene structural annotation, predicted coding sequences, protein sequences, non-coding RNA annotation, and functional annotation results. The final assembly spans 1.10 Gb and consists of 10 assembled chromosomes, with a scaffold N50 of 107.51 Mb and a BUSCO completeness of 99.40% based on the endopterygota_odb10 database. A total of 10,955 protein-coding genes were predicted, of which 10,858 genes were functionally annotated in at least one database. These data provide a genomic foundation for studies on dung beetle ecology, evolution, taxonomy, comparative genomics, and the ecological functions of large-bodied dung beetles. Synapsis davidis; dung beetle; chromosome-level genome assembly; genome annotation; PacBio HiFi; Hi-C Xu Xiaobo EMBARGO https://creativecommons.org/licenses/by/4.0/ dataset Science Data Bank
10.57760/sciencedb.36576 2026-05-15T09:24:00Z
2026-05-15 The dataset of the article titled "Dogs spontaneously extract human social cues from biological motion" doi:10.57760/sciencedb.36576 en To explore how dogs process human BM relative to that of their conspecifics, We compared dogs’ attentional responses to human and dog BM. The uploaded folder contains two subfolders. In "Behavior Data & Analysis" subfolder, the"Data.xlsx" file mainly contains raw encoded data, filtered data, and organized data for analysis. The 'DogAnalysis. m' file provides the analysis code, and the 'DogData. mat' file contains the processed dataset used for analysis. In "Stimuli" subfolder, there are stimuli for biological motion stimuli and video stimuli. The video stimuli have two versions for males and females, but due to authorization issues, only the male version with facial masking is uploaded here. biological motion; walking direction; head orientation; social communicative signals Xiaohan Ma Xiqian Lu Ruidi Wang Zhihan Gao Yiwen Liu Zhentao Zuo Yi Jiang PUBLIC https://creativecommons.org/licenses/by-nc-sa/4.0/ dataset Science Data Bank
10.57760/sciencedb.37103 2026-05-15T09:23:57Z
2026-05-15 raw data for manuscript "Mapping the Evolution of Work-Family Conflict: A Bibliometric Analysis" doi:10.57760/sciencedb.37103 en This is the raw data for manuscript "Mapping the Evolution of Work-Family Conflict: A Bibliometric Analysis" work family; conflict; balance 闫燕 PUBLIC https://creativecommons.org/licenses/by-nc-sa/4.0/ dataset Science Data Bank
10.57760/sciencedb.33334 2026-05-15T09:23:53Z
2026-05-15 Delta-Opioid Receptor Activation Confers both Microglia-Dependent and -Independent Neuroprotection against Alzheimer's Disease pathology doi:10.57760/sciencedb.33334 en Alzheimer's disease (AD) is characterized by amyloid-β (Aβ) plaques, tau pathology, and neuroinflammation, with microglia playing a pivotal yet complex role. Although delta-opioid receptor (DOR) activation has demonstrated therapeutic potential in AD, its mechanisms remain incompletely understood. In this study, using 9-month-old 3xTg-AD mice, we found that DOR activation with UFP-512 reduced soluble Aβ, plaque load, phosphorylated tau, astrocyte activation, neuroinflammatory responses, and neuronal apoptosis, while also improving synaptic integrity and cognitive function. Depletion of microglia with PLX5622, a potent and selective agent of microglial depletion, abolished the beneficial effects of DOR activation on plaques, tau pathology, and synaptic protection, and attenuated its anti-inflammatory effects. Conversely, UFP-512 still lowered soluble Aβ, suppressed inflammatory astrocyte activation, and downregulated complement proteins C1q and C3 in the absence of microglia. Notably, microglial depletion prevented UFP-512 from providing further cognitive improvement. These results indicate that the therapeutic efficacy of DOR activation relies critically on microglial regulation, but also involves microglia-independent modulation of soluble Aβ, astrocyte reactivity, and complement expression, highlighting DOR agonism as a multimodal strategy that coordinates intercellular communication to ameliorate AD pathology. Alzheimer's disease; delta-opioid receptor; microglia; PLX5622 Yuan Xu EMBARGO https://creativecommons.org/licenses/by-nc/4.0/ dataset Science Data Bank
10.57760/sciencedb.37097 2026-05-15T09:23:51Z
2026-05-15 A Slice Model for Two-Photon Absorption Fitting Formula in Z-Scan with Large F-number Focusing doi:10.57760/sciencedb.37097 en We propose a slice model to optimize the two-photon absorption (2PA) fitting formula for Z-scan technique, addressing the theoretical defect of conventional formulas, which neglect the influence of nonlinear absorption component on light intensity variation when calculating linear absorption component. This defect is negligible in conventional Z-scan setups with small F-number focusing but must be considered in large F-number focusing configurations where sample thickness is increased for engineering applications. We derive generalized equations describing energy variation and transmittance for any number of equal slices, and verify the model via Z-scan data of deuterated potassium dihydrogen phosphate (DKDP) samples irradiated by a 515 nm femtosecond laser, confirming its reliability Z-scan; DKDP crystal; Nonlinear absorption Xianghui Li Yafei Lian Yuanan Zhao Xun Sun Mingxia Xu Jianda Shao EMBARGO https://creativecommons.org/licenses/by-nc-sa/4.0/ dataset Science Data Bank
10.57760/sciencedb.37118 2026-05-15T09:23:49Z
2026-05-15 Cross-national comparison and temporal dynamics of greenhouse gas emissions in Atlantic salmon and rainbow trout aquaculture (2003-2023) doi:10.57760/sciencedb.37118 en In this study, we developed a harmonized emission factor-based assessment framework, coupled with established emission models, to quantify and compare GHG emissions from Atlantic salmon and rainbow trout aquaculture in Norway, Chile, the United Kingdom, Canada, and China over the period 2003-2023, expressed in carbon dioxide equivalents. We analyzed temporal dynamics, cross-country contrasts, and spatial aggregation characteristics of emissions. Across the five countries, total salmonid production increased from 1.27 to 2.71 million tons (114%), whereas aggregate GHG emissions grew at a markedly slower pace (85%). Notably, nitrous oxide (N2O) emissions declined by 36.8%, underscoring the significant role of improved feed efficiency and advances in farming technology in achieving emission reductions. At the species level, rainbow trout consistently exhibited lower emission intensities than Atlantic salmon. National dynamics diverged substantially: Norway showed a sustained reduction in emission intensity driven by efficiency gains; Chile displayed interannual variability associated with marine environmental conditions; the United Kingdom and Canada maintained relatively stable emission profiles; and China achieved progressive intensity reductions through optimization of production systems and technological upgrading. Spatially analysis further revealed significant clustering of salmonid-related GHG emissions, with hotspots concentrated along Norway’s western coast, southern Chile (Los Lagos Region and Aysén Region), north-west Scotland, British Columbia, and the north-western plateau regions of China, underscoring the close coupling between farming intensity and regional ecological carrying capacity. Collectively, these findings elucidated the evolving spatiotemporal structure of greenhouse gas emissions in global salmonid aquaculture and demonstrated a partial decoupling of emission growth from production expansion. This work will provide a robust quantitative basis for advancing low-carbon development pathways and designing regionspecific mitigation strategies for cold-water salmonid aquaculture. Greenhouse gas; Salmonid aquaculture; Spatiotemporal patterns Yana Chen RESTRICTED dataset Science Data Bank
10.57760/sciencedb.37122 2026-05-15T09:23:46Z
2026-05-15 Chemical Composition Dataset for Sichuan Flue-Cured Tobacco, 2021–2023 doi:10.57760/sciencedb.37122 en 水溶性糖、总生物碱、总氮、钾、氯、淀粉、蛋白质、多酚、生物碱、聚羧酸和高脂肪酸的测定，均依据中华人民共和国烟草工业标准（YC/T标准）进行。多羧酸和高高脂肪酸的含量依据YC/T 288-2009确定;样品中游离氨基酸的含量通过现有方法测定;糖醇化合物则采用现有方法测定。 Sichuan; Flue-Cured Tobacco; Chemical Composition Jianmin Cao EMBARGO https://creativecommons.org/licenses/by-nc-nd/4.0/ dataset Science Data Bank
10.57760/sciencedb.27186 2026-05-15T09:23:45Z
2026-05-15 Multimodal datasets of in vitro dopaminergic neuron differentiation doi:10.57760/sciencedb.27186 en Widespread application of human pluripotent stem cell (PSC)-derived dopaminergic (DA) neurons for cell therapy or in vitro studies of Parkinson’s disease (PD) requires standardization of cell products. This is currently challenging as there is no gold standard for defining the cell types produced using common differentiation protocols. Here we have generated a large single-cell RNA-sequencing time course (274,483 cells) dataset using two of the most widely used DA differentiation protocols. We supplemented this data with single-cell assay for transposase-accessible chromatin sequencing (244,697 cells). Side-by-side comparison of both multimodal datasets and metanalysis of previously reported single-cell RNA-sequencing datasets from other protocols, altogether amounting to 1,835,801 cells in total, revealed remarkable inter-protocol differences in cell specification trajectories, progenitor and DA neuron cell identities, surface markers for purification, contaminating cell types, and gene regulatory networks. In addition, the single-cell epigenetic profiling pinpointed putative target genes of noncoding genome-wide association studies (GWAS) loci relevant to PD. Our findings have implications for optimizing and standardizing cell products for in vitro studies for PD using human PSCs as well as clinical trials dopaminergic (DA) neurons; scRNA-seq; scATAC-seq Yanru An Jing Zuo Fengyu Pan Juan an Xiangpeng Guo Jingjing Wang Jingxia Zheng Yiwei Lai Yuanyuan Lu Shuhan Chen Narendra Kumar Sharma Lalitta Suriya-Arunroj Jan Mulder Xiangyu Guo Baoming Qin Ying-Ting Sit Xiaobing Qing Chuanyu Liu Ying Gu Longqi Liu Andrew Paul Hutchins Patrick H. Maxwell Roger A Barker Zhouchun Shang Yutao Du Dongye Wang Miguel A. Esteban EMBARGO https://creativecommons.org/licenses/by/4.0/ dataset Science Data Bank
10.57760/sciencedb.37137 2026-05-15T09:23:42Z
2026-05-15 Dynamic Processes of Modern Desert Contraction: A Case Study of Buguli and Toklak Deserts on the Southwestern Margin of the Tarim Basin, China doi:10.57760/sciencedb.37137 en Buguli and Toklak Desert boundary data from 2000 to 2025 (including the years 2000, 2005, 2010, 2015, 2020, and 2025), extracted through visual interpretation and classification using machine learning algorithms based on the Google Earth Engine (GEE) platform. Buguli desert; Toklak desert; Desert boundary Wei Shen Xin Gao EMBARGO https://creativecommons.org/licenses/by-sa/4.0/ dataset Science Data Bank
10.57760/sciencedb.37138 2026-05-15T09:23:40Z
2026-05-15 An Exact Continuous-Domain Dynamic Programming Solver for Global Optimal Reference Fields in Thermal Radiative Transfer doi:10.57760/sciencedb.37138 en This dataset contains the numerical data used to support the results reported in the manuscript entitled "An Exact Continuous-Domain Dynamic Programming Solver for Global Optimal Reference Fields in Thermal Radiative Transfer". The dataset includes solver comparison results for the one-dimensional GORF optimization problem, active-stack statistics of the proposed CD-DP solver, material temperature profiles, source-energy histories, figure-of-merit data, global relative L2 error data, and two-dimensional hohlraum test results. The data are provided to facilitate verification and reuse of the numerical results presented in the manuscript. Thermal radiative transfer; Implicit Monte Carlo; Global optimal reference field; Difference formulation; Dynamic programming; L1-TV optimization; Variance reduction 闫凯 RESTRICTED dataset Science Data Bank
10.57760/sciencedb.37139 2026-05-15T09:23:38Z
2026-05-15 Reduced graphene oxide-modified cubic CaTiO3 heterojunction with spatially separated redox sites for efficient overall water splitting doi:10.57760/sciencedb.37139 en All the data designed in the manuscript are included Photocatalyst; OWS; sp2 carbon framework; CaTiO3; RGO. Ran Tao PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset Science Data Bank
10.57760/sciencedb.j00265.00072 2026-05-15T09:23:35Z
2026-05-15 Experimental Study on Temperature Effects of Mechanical Behaviors and Microstructural Evolution of Salt Rock Under Different Confining Pressures doi:10.57760/sciencedb.j00265.00072 en To reveal the influence mechanism of different temperatures and confining pressures on the macroscopic mechanical behavior and microstructure evolution of salt rock, GCTS high-temperature and high-pressure dynamic rock triaxial apparatus was used to load salt rock samples under preset confining pressures (10 MPa, 20 MPa) and temperatures (25 ℃, 40 ℃, 50 ℃), and monitor the stress-strain behavior and volumetric strain change rules. After the test, the microstructure of the damaged samples was observed by scanning electron microscopy (SEM), and the complexity of the crack network was quantitatively characterized by the box-counting dimension method salt rock; temperature; microstructure wang liang liang PUBLIC https://creativecommons.org/licenses/by-nc-nd/4.0/ dataset Science Data Bank eyJjdXJzb3IiOjUwLCJtZXRhZGF0YVByZWZpeCI6Im9haV9kYyIsImNvbXBsZXRlTGlzdFNpemUiOjIyMzk4fQ==