figshare + Loughborough Research Repository + GRANTS Data + UP Research Data Repository2026 · Astronomical catalogue
Data and code supporting “Beyond binary canopy recovery: Continuous margins retain information about signed late GPP state”<p dir="ltr">This dataset and code archive supports the manuscript “Beyond binary canopy recovery: Continuous margins retain information about signed late GPP state”. It contains the verified 2001–2024 archived tropical and subtropical panel, event input, numbered Python analysis scripts, fixed spatial outer-fold predictions, inverse-probability weighting diagnostics, absolute-state construct comp
Loughborough Research Repository + GRANTS Data + UP Research Data Repository2026 · Crystal structure
Supporting Dataset for Spatiotemporal Analysis of Shoreline Change in Mobile Bay<p dir="ltr">This dataset supports a spatiotemporal analysis of shoreline change in Mobile Bay, Alabama, from January 2000 to December 2024, using satellite-derived shoreline positions along shore-normal transects extracted from Landsat imagery with the CoastSat toolkit by Vos et al., 2019. The study quantifies long-term shoreline change rates, short-term shoreline displacement, and shoreline pers
ZivaHub + Deakin Research Online + DMU Figshare + HKU DataHub + Swinburne Figshare + DaYta Ya Rona + SUNScholarData + figshare + Loughborough Research Repository + GRANTS Data + UP Research Data Repository2026 · Astronomical catalogue
Ecosystem service and composite ecological function index (CEFI) for the Loess Plateau, China, supporting a dose–effect framework for protected area expansion<p><br></p><p dir="ltr">This dataset supports the study "A dose–effect framework for evaluating the effectiveness of protected area expansion: Integrating Cohen's d into systematic conservation planning" and provides the spatial layers and derived indices used in the analysis. The dataset covers the Loess Plateau region of China and includes the following components:</p><p dir="ltr">(1) Five norma
ZivaHub + Deakin Research Online + DMU Figshare + HKU DataHub + Swinburne Figshare + DaYta Ya Rona + SUNScholarData2026 · dataset
Data and code supporting “Beyond binary canopy recovery: Continuous margins retain information about signed late GPP state”<p dir="ltr">This dataset and code archive supports the manuscript “Beyond binary canopy recovery: Continuous margins retain information about signed late GPP state”. It contains the verified 2001–2024 archived tropical and subtropical panel, event input, numbered Python analysis scripts, fixed spatial outer-fold predictions, inverse-probability weighting diagnostics, absolute-state construct comp
ZivaHub + Deakin Research Online + HKU DataHub + DaYta Ya Rona + figshare2026 · Astronomical catalogue
Supporting Dataset for Spatiotemporal Analysis of Shoreline Change in Mobile Bay<p dir="ltr">This dataset supports a spatiotemporal analysis of shoreline change in Mobile Bay, Alabama, from January 2000 to December 2024, using satellite-derived shoreline positions along shore-normal transects extracted from Landsat imagery with the CoastSat toolkit by Vos et al., 2019. The study quantifies long-term shoreline change rates, short-term shoreline displacement, and shoreline pers
HKU DataHub + figshare + Loughborough Research Repository2026 · Astronomical catalogue
Multi-Temporal UAV LiDAR Dataset of Mountainous Terrain Acquired with DJI Zenmuse L1<p dir="ltr"><b>Dataset Overview</b> This dataset contains bi-temporal UAV LiDAR point clouds covering a 90-hectare mountainous area located in Tylicz, Poland. The data was collected to evaluate the capabilities, geometric limitations, and processing bottlenecks of low-cost UAV LiDAR systems for sub-decimeter micro-relief change detection and geomorphological analysis.</p><p dir="ltr"><b>Data Acqu
figshare + Loughborough Research Repository2026 · Astronomical catalogue
Large-scale forest height mapping from dual-frequency bistatic InSAR system: LuTan-1 and TanDEM-X synergy<pre>This dataset supports the results presented in this submitted manuscript “Large-scale forest height mapping from dual-frequency bistatic InSAR system: LuTan-1 and TanDEM-X synergy”. <br>The data are provided as raster files with the coordinate system in WGS-84. They can be opened using any GIS software. <br>Any researchers interested in using the data or having questions regarding its use are
figshare + Loughborough Research Repository2026 · Astronomical catalogue
Global utility-scale photovoltaic power plant polygons for 2025 and 2026<p dir="ltr">This dataset contains global 10-m utility-scale photovoltaic (PV) power plant polygon products for 2025 and 2026. The products were generated from Sentinel-2 imagery using a prompt-guided, supervised fine-tuned SAM2 framework. Coarse candidate polygons from the TZ-SAM solar asset inventory were translated into bounding-box and distance-transform-based soft-mask prompts to refine PV po
figshare2026 · Astronomical catalogue
MHGNN-M-v1.0<p dir="ltr"><b>A </b><a href="" target="_blank"><b>multi-source heterogeneous graph neural network for traffic congestion prediction with missing data</b></a></p>
figshare2026 · Astronomical catalogue
GOWTD-2000–2025: Global Offshore Wind Turbine Dataset<p dir="ltr">This dataset provides the geocoded spatial distribution of individual offshore wind turbines (OWTs) worldwide, derived from satellite remote sensing imagery using a two-stage identification framework implemented on the Google Earth Engine platform. The dataset contains 16,469 individually geolocated turbine records spanning 17 countries and regions, primarily covering the period 2000–
figshare2026 · Astronomical catalogue
<b>Construction and Spatial Uncertainty Assessment of Urban Morphology-Constrained Atomic-Level Population Analysis Units</b><p dir="ltr">This repository contains the data and code supporting the study “Construction and Spatial Uncertainty Assessment of Urban Morphology-Constrained Atomic-Level Population Analysis Units” The study proposes an urban spatial morphology-constrained atomic population analysis unit (APAU) framework for delineating fine-scale population analysis units that are both morphologically meaningful
figshare2026 · Astronomical catalogue
The data and codes that support the findings of the study entitled "<b>Pseudo-label-driven urban road grid pattern recognition with hierarchical feature fusion</b>"<p dir="ltr">This paper presents a method for recognizing urban road grid patterns based on pseudo-labels and hierarchical features fusion.</p>
figshare2026 · Astronomical catalogue
CCWEM_CCWIF<p dir="ltr"><b>CCWEM and CCWIF are two complementary 10 m spatial datasets describing the extent and internal inundation-frequency gradients of China’s coastal wetlands in 2025. </b></p><p dir="ltr">The China Coastal Wetland Extent Map (CCWEM) delineates the maximum extent of natural coastal wetlands, including tidal flats, salt marshes, and mangroves. The vector dataset contains 12 province-leve
figshare2025 · Astronomical catalogue
Agricultural trade and agricultural development data for countries along the Belt and Road, 2007-2023<p dir="ltr">The data were obtained from the World Development Indicators, the United Nations Commodity Trade Database and the Food and Agriculture Organization of the United Nations Statistical Database. They are used to study the agricultural trade networks of the countries along the Belt and Road between 2007 and 2023.</p>
figshare2025 · Astronomical catalogue
CUGMine: A Fine-Grained Remote Sensing Dataset for Unravelling Open-Pit Mine Ecological Pattern Evolution<p dir="ltr">CUGMine is a fine-grained land cover dataset for open-pit mining areas, containing high-resolution satellite images and pixel-level annotated land cover maps from 226 mines in Yunnan Province, China. It is designed to train and evaluate semantic segmentation models for land cover classification, particularly in regions affected by mining activities.<br><b>Geographic coverage:</b> Yunn