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2321
Detachment‐Fault Structure Beneath the TAG Hydrothermal Field, Mid‐Atlantic Ridge, Revealed From Dense Wide‐Angle Seismic Data
Published 2025-02-01“…We used dense wide‐angle seismic data to define TAG's detachment structure at a finer scale than has previously been possible. …”
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2322
A comparative study of regression methods to predict forest structure and canopy fuel variables from LiDAR full-waveform data
Published 2016-02-01“…Regression methods are widely employed in forestry to predict and map structure and canopy fuel variables. We present a study where several regression models (linear, non-linear, regression trees and ensemble) were assessed. …”
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2323
Structure of snow-ice dams of the outburst lakes in the Broknes Peninsula (Larsemann Hills, East Antarctica) based on groundpenetrating radar data
Published 2021-05-01“…During the summer field season of the 65th Russian Antarctic Expedition a research aimed at studying the structure of the snow-ice dams of the Lakes Progress and Discussion (Larsemann Hills, East Antarctica), which are characterized with annual outburst floods, was carried out. …”
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2324
A nonparametric approach for detecting urban polycentric spatial structure in China using remote sensing nighttime light and point of interest data
Published 2024-12-01“…Effectively identifying urban polycentric spatial structure (UPSS) is essential for data-driven evaluation of urban performance, and it serves as a scientific basis for urban spatial planning. …”
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2325
The Structural and Kinematical Properties of NGC 5634, a Globular Cluster Associated with the Sagittarius Dwarf Galaxy?
Published 2025-01-01“…We investigate the origin of NGC 5634 through a comprehensive analysis of its morphology, kinematics, and dynamics. Utilizing data from the DESI Legacy Survey, we refined its fundamental parameters (age τ = 12.8 ± 0.3 Gyr, metallicity [Fe/H] = −1.8 ± 0.1 dex, distance modulus dm = 17.0 ± 0.1 mag) and constructed a matched-filter template based on the combination of these parameters to search for extra-tidal structures. …”
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2326
SP-LCC — a dataset on the structure and properties of lignin-carbohydrate complexes from hardwood
Published 2025-06-01“…The resulting database, termed SP-LCC, includes structural information extracted from nuclear magnetic resonance measurements (NMR) and data on the molar mass distribution, antioxidant activity, glass transition temperature, thermal degradation, and surface tension. …”
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2327
Dataset exploring the atomic scale structure and ionic dynamics of polyanion sodium cathode materials
Published 2025-08-01Get full text
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2328
Band structure database of layered intercalation compounds with various intercalant atoms and layered hosts
Published 2024-11-01Get full text
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2329
NEBULA101: an open dataset for the study of language aptitude in behaviour, brain structure and function
Published 2025-01-01“…The NEBULA101 dataset offers brain structural, diffusion-weighted, task-based and resting-state MRI data, alongside extensive linguistic and non-linguistic behavioural measures to explore the complex interaction of language and cognition in a highly multilingual sample. …”
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2330
Comparing physical analogue and traditional videos for learning and emotional engagement
Published 2025-03-01Subjects: Get full text
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2331
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2332
scHiCSRS: a self-representation smoothing method with Gaussian mixture model for imputing single cell Hi-C data
Published 2025-05-01“…Results We propose scHiCSRS, a self-representation smoothing method that improves data quality, and a Gaussian mixture model that identifies structural zeros among observed zeros. scHiCSRS not only takes spatial dependencies of a scHi-C data matrix into account but also borrows information from similar single cells. …”
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2333
Mock Observations: Morphological Analysis of Galaxies in TNG100 Simulations
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2334
T2F: a domain-agnostic multi-agent framework for unstructured text to factuality evaluation items generation
Published 2025-05-01“…The generated data effectively assess LLMs’ factuality accuracy, highlighting T2F’s capability as a scalable and domain-agnostic factuality evaluation framework.…”
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2335
A hybrid deep learning model for predicting atmospheric corrosion in steel energy structures under maritime conditions based on time-series data
Published 2025-03-01“…Atmospheric corrosion of maritime structures remains one of the most challenging issues facing offshore industry. …”
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2336
Mapping the internal structures of fault zones of the sedimentary cover: a tectonophysical approach applied to interpret TDEM data (Kovykta gas condensate field)
Published 2019-12-01“…The article presents the results of studying the internal structures of platform fault zones with the use of a new tectonophysical approach to processing and interpretation of electrical exploration data obtained by the transient elec‐ tromagnetic method in the near field zone (TEM). …”
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2337
Investigating Tropical Cyclone Warm Core and Boundary Layer Structures with Constellation Observing System for Meteorology, Ionosphere, and Climate 2 Radio Occultation Data
Published 2024-11-01“…An LSW less than 20% is set as a data QC threshold, and the warm core and PBL composite structures of TCs at three intensities in the Northwest Pacific Ocean are investigated. …”
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2338
VisualCodeMOOC: A course platform for algorithms and data structures integrating a conversational agent for enhanced learning through dynamic visualizations
Published 2025-05-01“…The abstract nature of algorithms and data structures poses challenges for students, and the integration of visualization into comprehensive learning systems remains underexplored. …”
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2339
Mapping of Agate-like Soil Cover Structures Based on a Multitemporal Soil Line Using Neural Network Filtering of Remote Sensing Data
Published 2025-01-01Subjects: Get full text
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2340
Aggregated Housing Price Predictions with No Information About Structural Attributes—Hedonic Models: Linear Regression and a Machine Learning Approach
Published 2024-11-01“…A number of studies have shown that, in hedonic models, the structural attributes of real property have a greater influence on price than external attributes related to location and the immediate neighbourhood. …”
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