ArticleScientific data2020
The global lake area, climate, and population dataset.
Article in Scientific data, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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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.
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Who cites it
11 citing papers in PubMed.
- Dataset of typical terminal lake and surrounding oasis outlines in arid/semi-arid endorheic basins based on remote sensing data.Scientific data · 2026Article
- National-scale remotely sensed lake trophic state from 1984 through 2020.Scientific data · 2024Article
- A call for consistency and integration in global surface water estimates.Environmental research letters : ERL [Web site] · 2024Article
- A shift in transitional forests of the North American boreal will persist through 2100.Communications earth & environment · 2024Article
- Global investigation of lake habitat coupling by fishes.Oecologia · 2023Article
- A comprehensive data set of physical and human-dimensional attributes for China's lake basins.Scientific data · 2022Article
- GLOBathy, the global lakes bathymetry dataset.Scientific data · 2022Article
- Shifting Patterns of Summer Lake Color Phenology in Over 26,000 US Lakes.Water resources research · 2021Article
- Declining greenness in Arctic-boreal lakes.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- A database of chlorophyll and water chemistry in freshwater lakes.Scientific data · 2020Article
- The global lake area, climate, and population dataset.Scientific data · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
An increasing population in conjunction with a changing climate necessitates a detailed understanding of water abundance at multiple spatial and temporal scales. Remote sensing has provided massive data volumes to track fluctuations in water quantity, yet contextualizing water abundance with other local, regional, and global trends remains challenging by often requiring large computational resources to combine multiple data sources into analytically-friendly formats. To bridge this gap and facilitate future freshwater research opportunities, we harmonized existing global datasets to create the Global Lake area, Climate, and Population (GLCP) dataset. The GLCP is a compilation of lake surface area for 1.42 + million lakes and reservoirs of at least 10 ha in size from 1995 to 2015 with co-located basin-level temperature, precipitation, and population data. The GLCP was created with FAIR (findable, accessible, interoperable, reusable) data principles in mind and retains unique identifiers from parent datasets to expedite interoperability. The GLCP offers critical data for basic and applied investigations of lake surface area and water quantity at local, regional, and global scales.
Identifiers
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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.