Loughborough Research Repository + GRANTS Data + UP Research Data Repository2026 · Crystal structure
<b>Data and Code for "Divergent spatial and temporal sensitivities of forest biomass to climate challenge space-for-time assumptions and models"</b><p dir="ltr">Data and code for "Divergent spatial and temporal sensitivities of forest biomass to climate challenge space-for-time assumptions and models."</p>
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
figshare + Loughborough Research Repository + GRANTS Data + UP Research Data Repository2026 · Astronomical catalogue
H3 Hexagon-Based Data Aggregated for Land System Change Analyses for Thailand 2000-2020<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
UCL Research Data Repository2026 · dataset
<p>Average mosquito egg counts by sociodemographic, household and environmental characteristics.</p><p>Summary statistics for average mosquito egg counts in relation to sociodemographic, household, and environmental characteristics in the study areas.</p> <p>(DOCX)</p>
UCL Research Data Repository2026 · dataset
<p>Photographs of environmental risk factors in the communities.</p><p>Photographs of containers with stagnant water that could act as <i>Ae. aegypti</i> breeding sites in the peri-domestic environment of surveyed households.</p> <p>(DOCX)</p>
UCL Research Data Repository + HKU DataHub + Swinburne Figshare + DaYta Ya Rona + SUNScholarData + figshare + Loughborough Research Repository + GRANTS Data + UP Research Data Repository2026 · Astronomical catalogue
<p>Frequency of entomological indices for surveyed households in the overall study area and the individual communities, Nova Sussuarana and Marechal Rondon, Salvador, Brazil, April to August 2023.</p><p>Frequency of entomological indices for surveyed households in the overall study area and the individual communities, Nova Sussuarana and Marechal Rondon, Salvador, Brazil, April to August 2023.</p>
UCL Research Data Repository2026 · dataset
<p>Socio-demographic data utilised in this study.</p><p>The data extracted from the socio-demographic survey that were included in the analysis.</p> <p>(DOCX)</p>
ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset
Image 6_Remote estimation of plastic distribution in California agriculture using Sentinel-2 imagery: a case study.jpeg<p>Global application of agricultural plastic mulch is increasing. While these films offer benefits for crop production, they also are a large source of plastic waste and pollution in both terrestrial and aquatic systems. The current scale of global mulch application and its deleterious impacts are unclear. Current estimates of agricultural plastic use remain limited by field-specific growing patt
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
Spatial join benchmark data: GeoPandas and DuckDB Spatial<p dir="ltr">Reproducible experiment package for the manuscript "Effect of point data distribution on spatial join performance: A comparison of GeoPandas and DuckDB Spatial". Contains all source code, synthetic data generation scripts with fixed seeds (202601-202603), GeoParquet inputs, raw outputs of 240 main and 72 sensitivity timed runs, query plans, match-pair validation outputs, figure source
UCL Research Data Repository2026 · dataset
<p>Timeline of data collection activities.</p><div><p>Disadvantaged communities characterised by poor sanitation conditions, overcrowding, and limited vector control are highly susceptible to <i>Aedes aegypti</i> proliferation and arboviral disease transmission. Effective mosquito vector control requires a detailed understanding of <i>Ae. aegypti</i> oviposition preferences and spatial distribution within such urban environments. This study a
ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset
Image 1_Remote estimation of plastic distribution in California agriculture using Sentinel-2 imagery: a case study.jpeg<p>Global application of agricultural plastic mulch is increasing. While these films offer benefits for crop production, they also are a large source of plastic waste and pollution in both terrestrial and aquatic systems. The current scale of global mulch application and its deleterious impacts are unclear. Current estimates of agricultural plastic use remain limited by field-specific growing patt
UCL Research Data Repository2026 · dataset
<p>Exploratory data analysis prior to statistical modelling.</p><p>Exploratory data analysis examining the distribution of continuous predictor variables and the outcome variable.</p> <p>(DOCX)</p>
ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset
H3 Hexagon-Based Data Aggregated for Land System Change Analyses for Thailand 2000-2020<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
Image 3_Remote estimation of plastic distribution in California agriculture using Sentinel-2 imagery: a case study.jpeg<p>Global application of agricultural plastic mulch is increasing. While these films offer benefits for crop production, they also are a large source of plastic waste and pollution in both terrestrial and aquatic systems. The current scale of global mulch application and its deleterious impacts are unclear. Current estimates of agricultural plastic use remain limited by field-specific growing patt
ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset · unknown
Investigating the capabilities of handheld LiDAR in mapping and identifying underground spaces in the urban environmentCoastal flooding presents an increasing threat to many urban centres. Current flood models are often based upon low-density topographic data and do not include information regarding underground structures, which are high-risk areas and act as sinks in flood scenarios, affecting the flow of water through the streetscape.<br><br>The background study details flood modelling and topographic surveying
ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset
Image 7_Remote estimation of plastic distribution in California agriculture using Sentinel-2 imagery: a case study.jpeg<p>Global application of agricultural plastic mulch is increasing. While these films offer benefits for crop production, they also are a large source of plastic waste and pollution in both terrestrial and aquatic systems. The current scale of global mulch application and its deleterious impacts are unclear. Current estimates of agricultural plastic use remain limited by field-specific growing patt
UCL Research Data Repository2026 · dataset
<p>The R script for the univariate and multivariate models.</p><p>The R script for the univariate and multivariate models.</p>
HKU DataHub + Swinburne Figshare + DaYta Ya Rona + SUNScholarData2026 · dataset
H3 Hexagon-Based Data Aggregated for Land System Change Analyses for Thailand 2000-2020<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
UCL Research Data Repository2026 · dataset
<p>Maps delineating A) the location of Salvador in Brazil, and B) the location of Marechal Rondon and Nova Sussuarana in Salvador, Brazil.</p><p>The city boundary layer was obtained from the IBGE municipal shapefile for Bahia (<a href="https://geoftp.ibge.gov.br/organizacao_do_territorio/malhas_territoriais/malhas_municipais/" target="_blank">https://geoftp.ibge.gov.br/organizacao_do_territorio/malhas_territoriais/malhas_municipais/</a>, public domain). Land extent was defined using OpenStreetMap land polygons (© OpenStreetMap contribut
UCL Research Data Repository2026 · dataset
<p>Study areas in Marechal Rondon and Nova Sussuarana showing the 174 households where ovitraps were installed.</p><p>Study area boundaries provided by Salvador Municipality cartographic data. The high-resolution base orthoimage was obtained from the Salvador Municipality cartographic services via its Web Map Service available at <a href="https://www.sefaz.salvador.ba.gov.br/geosalvador/home/webmap/viewer.html?webmap=a455c391abc4495b9ce96693c4f288b6" target="_blank">https://www.sefaz.salvador.ba.gov.br/geosalv
UCL Research Data Repository2026 · dataset
<p>Landcover classification of the study sites (A) Marechal Rondon and (B) Nova Sussuarana derived from WorldView-3 satellite imagery (DigitalGlobe/Maxar Technologies.</p><p>Used with permission. July 2023; 0.31 m panchromatic, 1.24 m multispectral resolution). The figure presents a derived raster landcover classification distinguishing water, bare ground, impervious surface, and vegetation.</p>
UCL Research Data Repository2026 · dataset
<p>Household survey data utilised in this study.</p><p>The data extracted from the visual inspection survey that were included in the analysis.</p> <p>(DOCX)</p>
UCL Research Data Repository + HKU DataHub + Swinburne Figshare + DaYta Ya Rona + SUNScholarData + figshare + Loughborough Research Repository + GRANTS Data + UP Research Data Repository2026 · Astronomical catalogue
<p>Univariate negative binomial regression models for sociodemographic, household and environmental characteristics, and mosquito egg abundance.</p><p>Univariate negative binomial regression models for sociodemographic, household and environmental characteristics, and mosquito egg abundance.</p>
UCL Research Data Repository2026 · dataset
<p>Visual inspection survey for environmental risk factors.</p><p>The visual inspection survey used during data collection to identify potential environmental risk factors for <i>Ae. aegypti</i> mosquitoes in the peri-domestic environment (within a 10 m radius of each household).</p> <p>(DOCX)</p>
ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset
Image 2_Remote estimation of plastic distribution in California agriculture using Sentinel-2 imagery: a case study.jpeg<p>Global application of agricultural plastic mulch is increasing. While these films offer benefits for crop production, they also are a large source of plastic waste and pollution in both terrestrial and aquatic systems. The current scale of global mulch application and its deleterious impacts are unclear. Current estimates of agricultural plastic use remain limited by field-specific growing patt