hybrid · semantic + lexical · 6 datasets ranked · 0.46s
Zhang, Song · Wang, Xiaoyu · Zhang, Jiayi · et al.
17 files · 1.4 MB · csv, xlsx, zip
This dataset contains raw and processed data underlying the study on Vibrio-phage interactions, including genome sequences, CRISPR arrays, spacer-protospacer mappings, defense system annotations, phylogenetic analyses, and structural modeling outputs. It also includes scripts used for analysis and figure generation. All raw sequencing reads are deposited in NCBI SRA and genome accession numbers are provided in Supplementary files.
Li, Zhiyao · Wang, Ningbo · Zhong, Jiahao
6 files · 48 MB · docx, zip
GIFT-BDS is a regional ionospheric total electron content (TEC) and TEC-gradient dataset over China derived from BeiDou geostationary Earth orbit (GEO) observations and a dense ground-based GNSS receiver network. The dataset is designed to provide high-resolution observations of ionospheric TEC variability and horizontal TEC-gradient structures over China and adjacent regions. The versioned release covers the period from 19 July 2024 to 31 December 2025, corresponding to DOY 201 of 2024 to DOY 365 of 2025. The geographical coverage is 15°N-50°N and 95°E-135°E. The dataset is provided in daily NetCDF files and contains two product levels. Level-1 products provide observation-level GEO-derived slant TEC (STEC) and rate of TEC index (ROTI) records for individual receiver-GEO satellite lines of sight, with a temporal resolution of 30 s. Level-2 products provide gridded regional TEC and TEC-gradient variables, including VTEC, VTEC t , ROTI, GIX, GIX std , GIX x , GIX y , GIX t,x , and GIX t,y , with a temporal resolution of 15 min. IPP-based variables are provided on a 1° × 1° grid, while inter-IPP-gradient variables are provided on a 0.25° × 0.25° grid. The main processing steps include observation screening, cycle-slip and data-gap detection, continuous-arc segmentation, carrier-to-code leveling, satellite and receiver DCB correction, IPP calculation, inter-IPP pair selection, gradient estimation, and gridding. Quality control is applied before release. Missing values may occur because of station outages, data gaps, quality-control exclusions, or insufficient valid samples within a grid cell. Users should check the NetCDF variable attributes, including units and fill values, before analysis. The dataset is suitable for regional ionospheric studies, TEC-gradient monitoring, space-weather-related analyses, and investigations of ionospheric effects on GNSS positioning applications.
Du, Yutong · Song, Junnian · Yao, Tianfu · et al.
11 files · 100 MB · xlsx, zip
HMLE-China is a spatially explicit, high-resolution, stage-resolved, multi-pollutant livestock emission inventory for mainland China in 2022. The dataset provides a comprehensive suite of GeoTIFF raster layers at a spatial resolution of 1 km, covering five major livestock species (beef cattle, dairy cows, swine, sheep/goats, and poultry), two production systems (extensive and intensive), four emission-related production stages (enteric fermentation, housing management, manure management, and energy use), and nine enivrionmental indicators of greenhouse gas, air pollutant, and water pollutant. In total, the dataset contains 985 GeoTIFF files, forming a nationally consistent, gridded emission inventory that enables full-chain environmental accounting of livestock production systems. Emissions are explicitly resolved by species, production system, and process stage, allowing detailed attribution of environmental burdens across heterogeneous livestock management practices. The inventory integrates multiple emission pathways, including direct biological emissions (e.g., enteric CH4 and manure-related CH4 and N2O), indirect nitrogen transformations (e.g., NH3 volatilization and downstream nitrogen emissions), energy-related emissions (coal, diesel, and electricity use), and nutrient-related pathways (nitrogen and phosphorus flows in both process-based and water-related compartments). This dataset is designed to support spatially explicit environmental assessment, policy analysis, and mitigation strategy development for livestock systems. It enables consistent evaluation of greenhouse gas emissions, air pollutants, and water pollutants within a unified multi-pollutant framework, facilitating integrated assessment of environmental trade-offs across production systems and regions. The dataset can be used for national-scale environmental footprint analysis, hotspot identification, life-cycle assessment, and climate-air-water co-benefit studies of livestock production systems.
Xu, Tao
3 files · 100 MB · rar, xlsx
The deepmd_data dataset comprises energy data for 375,781 structures and force data for more than 45 million atoms, generated from six hierarchical active learning iterations. The init directory stores the non-periodic molecular configurations established at the initialization stage. The iter directories contain structures labeled by both AIMD and DPMD-FP methods for each iteration. Each folder is named according to the scheme of solvent molecule index followed by lithium salt designation. The finetuned_data folder contains SEI reaction simulation data used for fine-tuning the MLFFs. Comprehensive details regarding the solvent molecules are available in the solvent_with_smiles.xlsx file.
Bertola, Anouk · Wenner, Nicolas · LEMOS ROCHA, Leonardo Filipe · et al.
16 files · 8.0 MB · fastq, gzip, xlsx
Sequencing data and raw data for Bertola et al .
Tian, Lu · Yuxiu, Liu · Peng, zhao · et al.
2 files · 8.0 MB · gzip, xlsx
This dataset contains the imputed SNP genotypes of 406 bread wheat accessions in VCF format, used for haplotype-based GWAS analysis of root architecture.