The dataset includes information to make Figures 2 through 6 of the manuscript.

The dataset includes information to make Figure 4 within the manuscript. This dataset is associated with the following publication: Golden, H., A. Rajib, C. Lane, J. Christensen, Q. Wu, and S. Mengistu. Non-floodplain Wetlands Affect Watershed Nutrient Dynamics: A Critical Review. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 53(13): 7203-7214, (2019).

The dataset includes information to make Figure 4 within the manuscript. This dataset is associated with the following publication: Golden, H., A. Rajib, C. Lane, J. Christensen, Q. Wu, and S. Mengistu. Non-floodplain Wetlands Affect Watershed Nutrient Dynamics: A Critical Review. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 53(13): 7203-7214, (2019).

Table of data used for statistical analyses. This dataset is associated with the following publication: Golden , H., H. Sander, C. Lane , C. Zhao, K. Price, E. D'Amico, and J. Christensen. Relative effects of geographically isolated wetlands on streamflow: a watershed-scale analysis. ECOHYDROLOGY. Wiley Interscience, Malden, MA, USA, 9(1): 21-38, (2016).

Table of data used for statistical analyses. This dataset is associated with the following publication: Golden , H., H. Sander, C. Lane , C. Zhao, K. Price, E. D'Amico, and J. Christensen. Relative effects of geographically isolated wetlands on streamflow: a watershed-scale analysis. ECOHYDROLOGY. Wiley Interscience, Malden, MA, USA, 9(1): 21-38, (2016).

Rivers and Streams data for the National Aquatic Resource Surveys. This dataset is associated with the following publication: Herlihy, A., J. Sifneos, R. Hughes, D. Peck, and R. Mitchell. The Relation of Lotic Fish and Benthic Macroinvertebrate Condition Indices to Environmental Factors Across the Conterminous USA. ECOLOGICAL INDICATORS. Elsevier Science Ltd, New York, NY, USA, 112: 105958, (2020).

Rivers and Streams data for the National Aquatic Resource Surveys. This dataset is associated with the following publication: Herlihy, A., J. Sifneos, R. Hughes, D. Peck, and R. Mitchell. The Relation of Lotic Fish and Benthic Macroinvertebrate Condition Indices to Environmental Factors Across the Conterminous USA. ECOLOGICAL INDICATORS. Elsevier Science Ltd, New York, NY, USA, 112: 105958, (2020).

This database, compiled by Matthews and Fung (1987), provides information on the distribution and environmental characteristics of natural wetlands. The database was developed to evaluate the role of wetlands in the annual emission of methane from terrestrial sources. The original data consists of five global 1-degree latitude by 1-degree longitude arrays. This subset, for the study area of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) in South America, retains all five arrays at the 1-degree resolution but only for the area of interest (i.e., longitude 85 deg to 30 deg W, latitude 25 deg S to 10 deg N). The arrays are (1) wetland data source, (2) wetland type, (3) fractional inundation, (4) vegetation type, and (5) soil type. The data subsets are in both ASCII GRID and binary image file formats.The data base is the result of the integration of three independent digital sources: (1) vegetation classified according to the United Nations Educational Scientific and Cultural Organization (UNESCO) system (Matthews, 1983), (2) soil properties from the Food and Agriculture Organization (FAO) soil maps (Zobler, 1986), and (3) fractional inundation in each 1-degree cell compiled from a global map survey of Operational Navigation Charts (ONC). With vegetation, soil, and inundation characteristics of each wetland site identified, the data base has been used for a coherent and systematic estimate of methane emissions from wetlands and for an analysis of the causes for uncertainties in the emission estimate.The complete global data base is available from NASA/GISS [http://www.giss.nasa.gov] and NCAR data set ds765.5 [http://www.ncar.ucar.edu]; the global vegetation types data are available from ORNL DAAC [http://www.daac.ornl.gov].

This dataset consists of three Excel files containing multiple worksheets of data from a monitoring period starting in July 2023 and ending in April 2024, along with a set of three technical reports containing the monitoring methodology and findings generated from these datasets. The datasets capture water quality and hydrological data from a constructed wetland in Tully, within the Wet Tropics region of Queensland, Australia. The data were collected as part of a project assessing the wetland’s water treatment potential, specifically, its ability to remove dissolved inorganic nitrogen (DIN) and total suspended solids (TSS) from agricultural runoff. The Excel files include groundwater and surface water data from continuous, routine and event-based monitoring, including physicochemical parameters, nitrogen levels, total suspended solids (TSS), volatile suspended solids (VSS), particle size distribution, water velocity, local rainfall, and water heights at various sampling points. Informative one-off measurements include bore slug tests and cross-sectional area assessments of surface water sampling points. This dataset provides valuable insights into the hydrological and chemical characteristics of this wetland, enabling a comprehensive evaluation of its function and performance as treatment systems in a wet tropical environment, over a single wet season. The dataset supplied herein is derived from the Tully-Johnstone Wetland Monitoring Project conducted from July 2023 to March 2024. The primary purpose of the dataset is to assess the efficacy of constructed wetlands in the Wet Tropics region at removing dissolved inorganic nitrogen (DIN) and sediment from agricultural runoff. The data were collected to inform the development and validation of wetland models, to better understand the effectiveness of treatment wetlands at a landscape scale. The dataset is available on eAtlas for use by scientists and water quality managers, providing insights into water balance, contaminant removal, and hydrological processes occurring within a constructed wetland. The Tully wetland was constructed in 2019 as part of the Wet Tropics Major Integrated Project (WTMIP) and is known as Landscape Wetland #1 (LW01). This wetland was designed and constructed to optimise natural processes for improving water quality in the Great Barrier Reef (GBR) catchments. Further information on the treatment systems installed and monitored during the WTMIP can be found at https://mip.terrain.org.au/resources/. The 2023-24 monitoring activities, funded by the partnership between the Australian Government’s Reef Trust and the Great Barrier Reef Foundation, built on previous datasets from the WTMIP (2019-2021) and post-WTMIP monitoring (2021-2023), both funded by the Queensland Government, Office of the Great Barrier Reef. Methods: The methods used to gather and process this dataset follow a comprehensive monitoring plan designed according to the available funding. The monitoring plan incorporated recommendations from a multidisciplinary team of scientific partners and was aligned with established guidelines for wetland nitrogen removal monitoring. Data were collected from a constructed wetland in Tully, within the Wet Tropics region of Queensland, Australia. Data were collected from July 2023 to March 2024, including both routine and event-based sampling, focusing on groundwater and surface water quality, precipitation, and groundwater-surface water interactions. A combination of manual grab sampling and automatic ISCO Avalanche autosamplers was employed for surface water monitoring. The autosamplers were triggered by rising water levels, with the capacity to adjust sampling intervals to optimise coverage over the hydrograph during stream flow events. High-frequency surface water level recordings were gathered using Seametrics PT12 pressure and temperature sensors, telemetered continuously to the online platform eagle.io, while manual water velocity measurements were