79 citations as recorded by crossref.

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15. An improved global river vector dataset based on multi-source river data fusion Y. Liu et al. https://doi.org/10.1038/s41597-025-06399-2
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25. MBHNet: a deep learning framework for UAV-satellite image matching in wheat field phenotyping F. Yan et al. https://doi.org/10.1007/s44412-026-00019-5
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47. Bofedal wetland and glacial melt contributions to dry season streamflow in a high‐Andean headwater watershed T. Gribbin et al. https://doi.org/10.1002/hyp.15237
48. Metabarcoding reveals ecologically distinct fungal assemblages in river and groundwater along an Austrian alpine to lowland gradient A. Retter et al. https://doi.org/10.1093/femsec/fiae139
49. HU-EnviroGrids: A Gridded Environmental Dataset for Spatial Analysis and Modelling at country scale in Hungary K. Takács et al. https://doi.org/10.1038/s41597-026-07604-6
50. Climate Variation Shapes Freshwater Fish Spatiotemporal β‐Diversity Patterns Across Latitudes in Europe S. He et al. https://doi.org/10.1111/fwb.70287
51. A global dataset of the shape of drainage systems C. He et al. https://doi.org/10.5194/essd-16-1151-2024
52. Ensemble-based mapping and trophic characterization of lentic water bodies in the Middle Ganga Basin under climate and land use change P. Singh & B. Yadav https://doi.org/10.1016/j.jenvman.2026.128754
53. A unified analysis of global riverine eDNA reveals common associations of fish biodiversity with drainage characteristics Y. Zhang et al. https://doi.org/10.1038/s41559-026-03106-1
54. The recovery of European freshwater biodiversity has come to a halt P. Haase et al. https://doi.org/10.1038/s41586-023-06400-1
55. Enhancing the Spatial Applicability of SMAP Soil Moisture Using Multi-Stage Machine Learning Downscaling J. Park & J. Chang https://doi.org/10.3390/rs18172913
56. Downscaling future land cover scenarios for freshwater fish distribution models under climate change A. Brunner et al. https://doi.org/10.1016/j.limno.2023.126139
57. Environment90m – globally standardized environmental variables for freshwater science at high spatial resolution J. García-Márquez et al. https://doi.org/10.5194/essd-18-1541-2026
58. Beyond Niche Overlap: Axis‐Specific Reorganisation of Environmental Space in Freshwater Crayfish Invasions K. Miok et al. https://doi.org/10.1111/jbi.70332
59. Identifying Headwater Streams across the Conterminous United States C. Lane et al. https://doi.org/10.1007/s10021-025-01041-z
60. Unified Global Landslide Catalogue (UGLC): a single, standardised global-scale landslide dataset S. Mancino et al. https://doi.org/10.5194/essd-18-4697-2026
61. Flushing away the future: The effects of wastewater treatment plants on aquatic invertebrates D. Enns et al. https://doi.org/10.1016/j.watres.2023.120388
62. Environmental heterogeneity as a determinant of bee diversity patterns in the Atlantic Forest A. Antonio et al. https://doi.org/10.21425/fob.18.142410
63. Ecological niche models as tools for freshwater fish conservation in a changing world A. Jan et al. https://doi.org/10.1093/fshmag/vuag005
64. Towards decision-oriented sub-basin prioritization of flood vulnerability: a case of Chitral River Basin, Hindu Kush Himalaya using an integrated framework A. Rehman et al. https://doi.org/10.1080/19475705.2026.2710940
65. An integrated geospatial analysis for identifying current and future critical groundwater recharge zones in Lebanon: integrating GIS and remote sensing techniques W. Al-Shaar et al. https://doi.org/10.1007/s12517-026-12485-5
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70. The Spatial Discrepancy Between Colombian Freshwater Fish Suitable Habitats and Existing Protected Areas T. Tomiczek et al. https://doi.org/10.1111/ddi.70168
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72. Discrete global grid system-based flow routing datasets in the Amazon and Yukon basins C. Liao et al. https://doi.org/10.5194/essd-17-2035-2025
73. A novel approach for the separation of frozen water bodies from snow to enhance snow mapping accuracy in high-altitude wetlands P. Smitha et al. https://doi.org/10.1016/j.coldregions.2025.104649
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75. Habitat suitability and niche overlap of endemic and data-deficient catfishes: A prediction modelling approach for river basin scale conservation in peninsular India G. Kantharajan et al. https://doi.org/10.1016/j.jnc.2026.127367
76. Integrating SWOT data and machine learning for high-resolution river surface velocity retrieval in data-scarce headwater regions P. Zhan et al. https://doi.org/10.1016/j.jhydrol.2026.136405
77. Influencing mechanisms of natural factors for riverine dissolved oxygen differ under various geographic features of rivers across China W. Li et al. https://doi.org/10.1007/s11442-026-2485-x
78. A two-stage hierarchical runoff bias correction framework for observation-constrained river flow reconstruction Z. Xiong et al. https://doi.org/10.1038/s41598-026-66464-7
79. Spatial and temporal effects of heat waves on the diversity of European stream invertebrate communities D. Cortés-Guzmán et al. https://doi.org/10.1016/j.scitotenv.2024.176229