ArticleScientific data2022
GLOBathy, the global lakes bathymetry dataset.
Article in Scientific data, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed.
- Canada1Water digital terrain model with bathymetry dataset.Data in brief · 2026Article
- China's freshwater lake storage hotspots revealed by bathymetry and typology mapping.National science review · 2026Article
- Lake sediment heatwaves under global warming.Nature geoscience · 2026Article
- Modeling a geologically complex volcanic watershed for integrated water resources management in Mt. Fuji, Japan.Scientific data · 2025Article
- A three-decade lake dataset on the Mongolian plateau tracking water area and quality dynamics (1990-2020).Scientific data · 2025Article
- 3D-LAKES: Three-Dimensional Global Lake and Reservoir Bathymetry from ICESat-2 Altimetry and Landsat Imagery.Scientific data · 2025Article
- Waterbird Diversity Patterns Under Varied Hydrological Regimes in Dongting Lake and Surrounding Lakes.Ecology and evolution · 2025Article
- Article
- Climate warming and heatwaves accelerate global lake deoxygenation.Science advances · 2025Article
- Planning with emission models reduces the carbon footprint of new reservoirs.Communications earth & environment · 2025Article
- Climate buffering effects of western Canadian boreal lakes: the effect of lake size and depth on shoreline and nearshore forests.Landscape ecology · 2025Article
- GDEMM2024: Global Digital Elevation Merged Model 2024 for surface, bedrock, ice thickness, and land-type masks.Scientific data · 2024Article
- A geospatial analysis of local intermediate snail host distributions provides insight into schistosomiasis risk within under-sampled areas of southern Lake Malawi.Parasites & vectors · 2024Article
- A database of in situ water temperatures for large inland lakes across the coterminous United States.Scientific data · 2024Article
- National-scale remotely sensed lake trophic state from 1984 through 2020.Scientific data · 2024Article
- Spatial-temporal variability of methane fluxes in lakes varying in latitude, area, and depth.Heliyon · 2023Article
- GLOBathy, the global lakes bathymetry dataset.Scientific data · 2022Article
Corrections and comments
- Commented on by
Authors and funding
5 authors.
Funding
Abstract
Waterbodies (natural lakes and reservoirs) are a critical part of a watershed's ecological and hydrological balance, and in many cases dictate the downstream river flows either through natural attenuation or through managed controls. Investigating waterbody dynamics relies primarily on understanding their morphology and geophysical characteristics that are primarily defined by bathymetry. Bathymetric conditions define stage-storage relationships and circulation/transport processes in waterbodies. Yet many studies oversimplify these mechanisms due to unavailability of the bathymetric data. We developed a novel GLObal Bathymetric (GLOBathy) dataset of 1.4+ million waterbodies to align with the well-established global dataset, HydroLAKES. GLOBathy uses a GIS-based framework to generate bathymetric maps based on the waterbody maximum depth estimates and HydroLAKES geometric/geophysical attributes of the waterbodies. The maximum depth estimates are validated at 1,503 waterbodies, making use of several observed data sources. We also provide estimations for head-Area-Volume (h-A-V) relationships of the HydroLAKES waterbodies, driven from the bathymetric maps of the GLOBathy dataset. The h-A-V relationships provide essential information for water balance and hydrological studies of global waterbody systems.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.