11 datasets

figshare + Loughborough Research Repository + GRANTS Data + UP Research Data Repository2026 · Astronomical catalogue

<p dir="ltr">These data are a re-scalable dataset structured by an H3 Hexagonal Hierarchical Spatial Index (provided as a shapefile) with accompanying CSV data tables for joining. The dataset is based on open-source, global data products of population and built surface and volume information from WorldPop and the Global Human Settlement Layer, as well as various metrics derived from them. The comp

ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset

<p dir="ltr">These data are a re-scalable dataset structured by an H3 Hexagonal Hierarchical Spatial Index (provided as a shapefile) with accompanying CSV data tables for joining. The dataset is based on open-source, global data products of population and built surface and volume information from WorldPop and the Global Human Settlement Layer, as well as various metrics derived from them. The comp

HKU DataHub + Swinburne Figshare + DaYta Ya Rona + SUNScholarData2026 · dataset

<p dir="ltr">These data are a re-scalable dataset structured by an H3 Hexagonal Hierarchical Spatial Index (provided as a shapefile) with accompanying CSV data tables for joining. The dataset is based on open-source, global data products of population and built surface and volume information from WorldPop and the Global Human Settlement Layer, as well as various metrics derived from them. The comp

HKU DataHub + figshare + Loughborough Research Repository2026 · Astronomical catalogue

<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

HKU DataHub + figshare + Loughborough Research Repository2026 · Astronomical catalogue

<p dir="ltr">This dataset provides the comprehensive source data, model files, and output results developed for the HydroBound-ML framework. The primary remote sensing data was acquired using the Riegl VQ-880-GII topo-bathymetric system integrated with PhaseOne iXM-RS150F optical sensors (RGB & NIR) over a complex fluvial environment (Pilica and Vistula rivers, Poland).</p><p dir="ltr">💻 <b>Softwa

figshare2026 · Astronomical catalogue

<p dir="ltr">The example of using Python package fuzzygd to analyze the spatial data by the Fuzzy Geographical Detector (FGD)</p><p dir="ltr">Cite:Chen, J., Cheng, S., Zhang, W., Wang, J., & Lu, F. (2026). Fuzzy geographical detector: enhancing spatial attribution analysis for continuous geographical variables. International Journal of Geographical Information Science, 1–30. DOI: https://doi.org/1

figshare2026 · Astronomical catalogue

<p dir="ltr">The road surface type dataset (paved/unpaved) consists of two components: the original dataset and the newly added dataset. The original dataset was derived from the road surface type dataset developed by Liu et al. (2026), which covers 50 African countries. The newly added dataset consists of road surface types in 60 countries across Asia, the Middle East, Latin America, and the Cari

figshare2026 · Astronomical catalogue

<p dir="ltr">This dataset contains digitized geological contacts for the Aristarchus Plateau and its vicinity used in the associated study. The vector boundaries were manually digitized from the geological map published by Zisk et al. (1977) after the original map was georeferenced to the lunar coordinate system used in this study. The dataset is provided to support the reproducibility of the spat

ZivaHub + HKU DataHub + figshare + Loughborough Research Repository + UP Research Data Repository2026 · Astronomical catalogue

<p dir="ltr">This archive contains analysis scripts accompanying the manuscript “Climatic tree-cover potential shows contrasting associations with global productivity variability and autocorrelation.”</p><p dir="ltr">The scripts cover detrended relative interannual gross primary productivity (GPP) variability, lag-one autocorrelation, land-cover-stratified associations, stress-conditioned next-yea

ZivaHub + Deakin Research Online + DMU Figshare + UCL Research Data Repository2026 · dataset

<p dir="ltr">The Guide to Strategic Wetlands <b>i</b>s a two-page brief that introduces a spatial planning tool for conservation and community resilience in high opportunity areas. The brief is designed to be a resource that helps non-profits, local governments, planners, and land owners identify where strategic wetland actions can most effectively reduce flood risk, protect public infrastructure,

figshare2025 · Astronomical catalogue

<p dir="ltr">test</p>