ArticleScientific data2018
FLO1K, global maps of mean, maximum and minimum annual streamflow at 1 km resolution from 1960 through 2015.
Article in Scientific data, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 18 papers.
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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.
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Who cites it
18 citing papers in PubMed.
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- Spatio-temporal analysis and geostatistical modelling of onchocerciasis prevalence in Nigeria to support elimination efforts.PLoS neglected tropical diseases · 2026Article
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- CA-discharge: Geo-Located Discharge Time Series for Mountainous Rivers in Central Asia.Scientific data · 2023Article
- Fate identification and management strategies of non-recyclable plastic waste through the integration of material flow analysis and leakage hotspot modeling.Scientific reports · 2022Article
- Description of Myxobolus hoabinhensis n. sp. (Myxosporea: Myxobolidae), infecting the trunk muscles of goldfish Carassius auratus (Linnaeus, 1758) (Cypriniformes: Cyprinidae) in northern Vietnam.Parasitology research · 2022Article
- FutureStreams, a global dataset of future streamflow and water temperature.Scientific data · 2022Article
- AquaDesign: A tool to assist aquaculture production design based on abiotic requirements of animal species.PloS one · 2022Article
- Exploring deep learning capabilities for surge predictions in coastal areas.Scientific reports · 2021Article
- Threats of global warming to the world's freshwater fishes.Nature communications · 2021Article
- On the importance of predictor choice, modelling technique, and number of pseudo-absences for bioclimatic envelope model performance.Ecology and evolution · 2020Article
- From topography to hydrology-The modifiable area unit problem impacts freshwater species distribution models.Ecology and evolution · 2020Article
- Impacts of current and future large dams on the geographic range connectivity of freshwater fish worldwide.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- A High-Resolution Spatial Model to Predict Exposure to Pharmaceuticals in European Surface Waters: ePiE.Environmental science & technology · 2018Article
- A high-resolution streamflow and hydrological metrics dataset for ecological modeling using a regression model.Scientific data · 2018Article
Corrections and comments
- Erratum issued
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Streamflow data is highly relevant for a variety of socio-economic as well as ecological analyses or applications, but a high-resolution global streamflow dataset is yet lacking. We created FLO1K, a consistent streamflow dataset at a resolution of 30 arc seconds (~1 km) and global coverage. FLO1K comprises mean, maximum and minimum annual flow for each year in the period 1960-2015, provided as spatially continuous gridded layers. We mapped streamflow by means of artificial neural networks (ANNs) regression. An ensemble of ANNs were fitted on monthly streamflow observations from 6600 monitoring stations worldwide, i.e., minimum and maximum annual flows represent the lowest and highest mean monthly flows for a given year. As covariates we used the upstream-catchment physiography (area, surface slope, elevation) and year-specific climatic variables (precipitation, temperature, potential evapotranspiration, aridity index and seasonality indices). Confronting the maps with independent data indicated good agreement (R
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