Beijing Institute of Big Data Research

Spatially Uneven and Seasonally Intensified Water Competition Between Agriculture and Energy Production in China

data_Gridded_water_withdrawal.zip: gridded monthly water withdrawal data for China at a spatial resolution of 0.1° × 0.1°, covering the agriculture, coal mining and washing, coking, and thermal power generation sectors, for the years 2000, 2010, 2015, 2019, and 2024 data_WCI.zip:...

Fine-Grained Tree Species Classification in Urban Forests via Phenology–Structure Synergistic Fusion of Multi-Source Remote Sensing Data

Urban forest tree species composition and spatial distribution are essential for refined greenspace management, ecosystem-service assessment, and forest-health monitoring. High-resolution imagery captures crown texture and spatial boundaries, multi-temporal NDVI reflects phenolog...

Learning stochastic dynamics and cell-fate landscapes from single-cell snapshots via optimal transport

The temporal dynamics and stochasticity of gene expression are critical to cell fate decisions, yet integrating snapshot omics data across multiple time points remains a major challenge. Here, we introduce DiffusionOT, a dynamic machine learning framework that infers cellular tra...

Assessing Land Cover Change and Forest Sustainability in a World Heritage Context: Evidence from the Okapi Wildlife Reserve

Long-term monitoring of land cover dynamics is essential for evaluating conservation outcomes in World Heritage sites, yet remains challenging in conflict-affected regions with limited field observations. This study aims to reconstruct annual land cover dynamics and assess forest...

NICE: A Two‐Step Non‐Invasive Framework for Embryo cfDNA Read Enrichment and Quality Assessment

Non-invasive preimplantation genetic testing (niPGT) using cell-free DNA (cfDNA) extracted from spent embryo culture medium (SECM) has shown great potential, providing economic and practical advantages for embryo ploidy testing and quality assessment, while minimizing the risk of...

Precision Dosing for Pediatric Growth Hormone Deficiency With Daily and Weekly Growth Hormone

ABSTRACT Pediatric growth hormone deficiency (GHD) typically requires daily injections of recombinant human growth hormone (rhGH). Long‐acting PEGylated recombinant human growth hormone (PEG‐rhGH) formulations have been developed to reduce injection frequency and improve adherenc...

Need-responsive accessibility supports equitable sustainable development and reshapes migration as evolving human needs

Realizing the Sustainable Development Goals’ commitment to “leave no one behind” requires accessibility that responds to evolving human needs, yet prevailing accessibility assessments remain static and sector-specific, overlooking hierarchical need evolution and behavioral feedba...

Automated Extraction of Long-Term Cyanobacteria Blooming Series from Landsat Imagery Using Deep Learning

Cyanobacterial harmful algal blooms (CyanoHABs) pose serious threats to inland water ecology and environmental security. Despite advances, accurately capturing their long-term dynamics for effective governance remains challenging due to limited datasets and segmentation model acc...

High-Precision Visual Absolute-Localization Method for Deep-Space Probes Based on Salient Landmarks

To address the scarcity of high-precision control points on planetary surfaces and the accumulated drift of conventional relative-localization methods in deep-space exploration missions, this paper proposes a visual absolute-localization method based on salient-landmark contour m...

Evolution of water clarity across the Beijing-Tianjin-Hebei region over the past four decades (1984–2024): Driven by hydrological expansion and anthropogenic intervention

Given escalating water scarcity and rapid urbanization, characterizing the long-term evolution of surface water environments across the Beijing-Tianjin-Hebei (BTH) region is vital for coordinated regional development. Using Landsat imagery spanning 1984–2024, this study quantifie...

Exploring the role of place visitation big data on small area health measure estimation

Population-level health measures at small geographic scales (e.g., census tracts), including health conditions, preventive behaviors, risk factors, and overall health status, are crucial for guiding effective health planning and policymaking. It has been well established that dem...