We present Version 10 (V10) of the China Soil Organic Carbon Stock (SOCS) Database, a national-scale dataset derived from 23,103 rigorously validated soil samples (7,995 profiles) using ensemble pedotransfer function (PTF) modeling.After re-validation and correction of profile statistics in the original files, the total number of profiles decreased to 7,995.The final V10 dataset provides standardized soil profile information, environmental covariates, and metadata, ensuring consistency and application-readiness.This dataset supports the manuscript:Chen et al. (2025). A national soil organic carbon density dataset (2010–2024) in China using ensemble modelling based pedotransfer functions.Users must cite both the repository (https://doi.org/10.1038/s41597-025-05863-3) and the above publication.Technical inquiries should be directed to Dr. Songchao Chen ([email protected]).2. Relationship Between Versions- V8: Developmental dataset including field observations and model predictions, used for training ensemble algorithms. Code is available on GitHub.- V9: The first finalized dataset, harmonized and validated for end-users.- V10: Updated, quality-checked dataset with unified metadata structure, improved variable naming consistency, and expanded coverage of sampling years (2010–2024). V10 supersedes V9 for applications.Each version is independent:- V8 supports reproducibility of modeling.- V9 was the initial application-ready dataset.- V10 is the latest standardized dataset for end-users. More details in SOCS_V10_Readme.text

Source data to re-create figures in the manuscript: "Real-time decoding of full spectrum Chinese using brain-computer interface"(1) The preprocessed, high-gamma neural features and corresponding labels for the 394-syllable dataset used to train and evaluate our decoders; (2) The underlying data required to reproduce all main and supplementary figures; (3) The analysis code used to generate these figures.

The dataset is organized into four folders as follows:‘Behavior’ includes behavioral data for statistics.‘EEG_Rhythmic’ comprises data for statistics from the rhythmic experiment.‘EEG_Unrhythmic’ contains data for statistics from the unrhythmic experiment.‘EEGs_Rhythmic&Unrhythimc’ includes combined data for statistics from both the rhythmic and unrhythmic experiment.

Associating unfamiliar stimuli with appropriate behavior through experience is crucial for survival. While task-relevant information has been found to be distributed across multiple brain regions, how regional nodes in this distributed network reorganize their functional interactions throughout learning remains to be elucidated. Here, we performed chronic, large-scale single-unit recording across 10 cortical and subcortical regions using ultra-flexible microelectrode arrays in mice performing a visual decision-making task and tracked mesoscale functional network dynamics throughout learning. Task learning reshaped interregional functional connectivity, leading to the emergence of a subnetwork involving visual and frontal regions during the acquisition of correct No-Go responses. This reorganization was accompanied by a more widespread representation of visual stimulus across regions, and a region’s network rank strongly predicted its peak timing of visual information encoding.

Tri-methylation on lysine 40 of α-tubulin is involved in cell division and neuronal development. We report that KDM4A, a member of the histone demethylase family, demethylates α-tubulin. Degradation of KDM4A for 12 h leads to an increase in methylation of α-tubulin and histone, as well as mitotic defects in KDM4A-FKBP12F36V-2×HA-T2A-Puro knock-in HEK293T cells (termed as KDM4A-dTAG cells). We performed RNA-seq and label-free quantitative proteomics to evaluate the consequence of genetic alteration resulting from an increase in histone methylation in KDM4A-dTAG cells upon 12 h of dTAG-13 treatment. Notably, we identified 23 genes that showed more than 1.5-fold expression change after 12 h of dTAG-13 treatment, with 13 up-regulated and 10 down-regulated genes, and 16 proteins showed more than 1.5-fold expression alteration except KDM4A, including 10 up-regulated and 6 down-regulated proteins. This dataset contains all raw data of RNA-seq and label-free quantitative proteomics described in this study.

In graphite-moderated molten salt reactors, a characteristic is observed where the reactivity exhibits a linear relationship with the reciprocal of uranium concentration. This relationship was derived through theoretical analysis and subsequently validated with an example, confirming its accuracy. The data presented here serve as verification of this relationship

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This study investigates the spatiotemporal changes in water features and quality of three key drinking water source lakes-Rawal, Simly, and Khanpur (RSK), using Level 2 Landsat 5, 7 and 8 satellite data from 1991 to 2020, changes in lake surface area were assessed through the Google Earth Engine (GEE) platform with the codes. Data used from satellite LT <= 1998 → LT05, 1999–2012 → LE07, and 2013+ → LC08. Thresholding and geospatial analysis in ArcGIS 10.8 were used to extract and visualize water bodies and surface feature changes. For water seasonal water quality, bacterial counts were analyzed by using membrane filtration technique during the dry and wet season and through standard methods of Microbiology (APHA, 2005). Among the heavy metals were analyzed (Fe, F, As, Cu, Zn, Mn, Cr, Pb, Ni, B, Cd, P, Hg), Standard Method,3114 B (AAS Hydride Generation Mode) was used for As and Standard Method, 3111 for other metals through Atomic Absorption of Spectroscopy (AAS) as mentioned in APHA (2023).

This study investigates the spatiotemporal changes in water features and quality of three key drinking water source lakes-Rawal, Simly, and Khanpur (RSK), using Level 2 Landsat 5, 7 and 8 satellite data from 1991 to 2020, changes in lake surface area were assessed through the Google Earth Engine (GEE) platform with the codes. Data used from satellite LT <= 1998 → LT05, 1999–2012 → LE07, and 2013+ → LC08. Thresholding and geospatial analysis in ArcGIS 10.8 were used to extract and visualize water bodies and surface feature changes. For water seasonal water quality, bacterial counts were analyzed by using membrane filtration technique during the dry and wet season and through standard methods of Microbiology (APHA, 2005). Among the heavy metals were analyzed (Fe, F, As, Cu, Zn, Mn, Cr, Pb, Ni, B, Cd, P, Hg), Standard Method,3114 B (AAS Hydride Generation Mode) was used for As and Standard Method, 3111 for other metals through Atomic Absorption of Spectroscopy (AAS) as mentioned in APHA (2023).

Large-gradient phase components, such as continuous phase plates (CPPs), are widely used in high-power laser systems. Their mid-frequency surface errors must be strictly controlled to maintain beam quality. Power spectral density (PSD) is a key metric for evaluating these errors. However, existing PSD measurement methods rely on wavefront reconstruction, which becomes challenging when testing large-gradient components. For example, conventional interferometry often fails to produce effective interference fringes under such conditions. A knife-edge scanning filtering method was proposed for PSD measurement. Two scans in opposite directions are performed at the wavefront frequency plane. The gradient of the wavefront phase is extracted by summing the shadowgraphs from each scanning direction and computing their difference. This method directly calculates the wavefront PSD from the phase gradients, thereby avoiding wavefront reconstruction and eliminating cumulative errors from integration. It inherently ensures a large dynamic range. An integrated knife-edge module was developed for rapid alignment of the optical axis. It removes the need for manual calibration between scans and simplifies the procedure. Experimental results show that the relative errors of the measured PSD characteristic peaks are within 7%. This method is of significance for the efficient fabrication and testing of large-gradient phase components, thereby supporting the stable operation of high-power laser systems.