This dataset includes measured DOC concentration, and modelled DOC concentration derived from UV-visible absorbance spectra. We also include measured chlorophyll concentration, pH and conductivity. The natural water samples were collected from freshwater ecosystems in the UK, and site names and locations. Samples were also collected at set intervals throughout the year, from mesocosm experiments simulating natural lake ecosystems. Data on measured and modelled DOC concentration, chlorophyll concentration, pH and conductivity for the mesocosms sampled, are also included. Full details about this dataset can be found at https://doi.org/10.5285/6abbc357-1b69-49b4-be28-a77eb7bc6c7f

This dataset includes dissolved organic radiocarbon content and dissolved organic carbon concentration data for river waters around the globe. The riverine dataset contains already published (n=1163) and new (n=101) data between the years 1962 and 2015. Soil solution data (n=139) from North American and European natural and semi-natural ecosystems are also included, which cover the period 1988 to 2008. Groundwater data containing 49 data points from boreholes in Europe and North America are also provided. Extra data including sampling dates, locations, stable isotope (13C), water quality and qualitative descriptions of the catchments are included in the dataset. Full details about this dataset can be found at https://doi.org/10.5285/06b219a8-b3ff-4db7-870a-4b1038ff53e2

This dataset contains concentrations of dissolved organic carbon, inorganic carbon, CO2, CH4 and N2O in the Black Burn stream which drains Auchencorth Moss peatland in South East Scotland. Concentrations and fluxes have been measured within the Black Burn on an approximately weekly to fortnightly basis from approximately 2006 to present (see https://doi.org/10.5285/3f0820a7-a8c8-4dd7-a058-8db79ba9c7fe). Concentrations in this dataset are from a series of new sites, upstream of the long-term sampling record, adjacent to an area of drains blocked by Scottish Natural Heritage. Measurements began during the drain blocking. Data was collected initially as part of a masters project for University of Edinburgh through Scotland's Rural College and continued by the Centre for Ecology & Hydrology. Full details about this dataset can be found at https://doi.org/10.5285/88ffbf44-0ec0-41d6-9814-04bc3535cd84

Data on concentrations of dissolved PAHs and dissolved organic carbon (DOC) in 20 water samples collected from the River Wyre at five sites between Marshaw Wyre, one of the two headwaters of the River Wyre, and Garstang from August 2010 to June 2011. As typical for this region, the upland reaches of this river drain peatland areas, resulting in a relatively high dissolved organic carbon content. PAHs were measured as freely dissolved PAHs (i.e. freely dissolved in the water phase) and total dissolved PAHs (the sum of freely dissolved and those associated with DOC) and the fractions associated with DOC have been estimated from these two. Where possible, the DOC-water partition coefficient of the PAHs, calculated from the concentrations determined, is given as well. The data is presented as one table and two supporting files containing metadata. Full details about this dataset can be found at https://doi.org/10.5285/24200DBA-D0F4-4BE4-AE6F-2C6EC1147FA4

This dataset contains nutrient data from soils and microbial biomass in soils from an experiment based at Winklebury Hill, UK. The experiment used seeds and plug plants to create different plant communities on the bare chalk on Winklebury Hill and tested the resulting carbon and nutrient cycling rates and compared these to the characteristics of different plant functional groups. The experiment ran from 2013 to 2016 and this dataset contains data from 2014 only. This experiment was part of the Wessex BESS project, a six-year (2011-2017) project aimed at understanding how biodiversity underpins the ecosystem functions and services that landscapes provide. Full details about this dataset can be found at https://doi.org/10.5285/5012d5c1-da82-4773-b286-01222595a8c8

This dataset includes measured physicochemical variables in ten rivers of the glacial valleys of Parón, Huaytapallana and Llanganuco in the Cordillera Blanca, Ancash, Peru. The environmental variables measured in the rivers include pH, turbidity conductivity, total nitrogen, total phosphorus, dissolved organic carbon, dissolved inorganic carbon, metal ions and anions. Channel stability assessments using the Pfankuch index are also included. This data was used to analyse the physicochemical changes under glacial retreat, studying rivers in a gradient of glacial coverage, and relate it to the biodiversity of macroinvertebrates. The sampling work was carried out from October 14 to 30, 2019 and from October 7 to 16, 2020. The study was funded by NERC, Newton‐Paulet Fund and Fondo Nacional de Desarrollo Científico, Tecnológico y de Innovación Tecnológica-Perú. Full details about this dataset can be found at https://doi.org/10.5285/3684da74-6c6d-4f25-867b-62b7b68175f6

This dataset contains concentrations of dissolved organic carbon, dissolved inorganic carbon, nutrients and concentrations of greenhouse gases CO2, CH4 and N2O from nine sites across the River Tay catchment. Water was sampled on a monthly basis between February 2009 and December 2010. The locations of sampling sites were based on existing flow gauging and water sampling sites of the Scottish Environment Protection Agency (SEPA). Full details about this dataset can be found at https://doi.org/10.5285/a61da7da-b7ef-40b7-a324-c3711ef81207

Data from two small streams, two rivers and rainfall fractions in the Western Amazonian basin at Tambopata National Reserve in Madre de Dios region, Peru. Data presented are nutrients (calcium, magnesium, potassium, sodium, total soluble phosphorus and silica) and fluvial carbon - dissolved inorganic carbon (DIC) and its isotopic composition δ13C-DIC, dissolved organic carbon (DOC) and particulate organic carbon (POC). Samples were collected during the period from February 2011 to May 2012 targeting both wet and dry seasons. Samples for DIC samples were collected using pre-acidified evacuated Exetainers. Established standard methods were used to take samples for DOC and nutrients. Established standard methods were used to analyse samples for DIC, DOC and nutrients These methods are outlined in the lineage. The samples were taken to understand the hydrological controls on the carbon concentrations and fluxes during different flow conditions. The data collection was carried out as part of the Natural Environment Research Council funded Amazonica project. Full details about this dataset can be found at https://doi.org/10.5285/ee1b9eb7-6fbd-4dd5-8f8f-e07d32c057e4

These data consist of raw 16S rRNA gene sequences for the bacterial communities in three upland Welsh river sites under different treatments. A mapping file with metadata for each sample is provided and a operational taxonomic unit (OTU) table. These sites were situated in three streams from the Llyn Brianne Stream Observatory, Powys, Wales, UK (52°08' N, 3°45' W). The catchments cover approximately 300 square kilometres of upland Wales in the upper Afon Tywi. These first to third order experimental streams rise in either rough, sheep-grazed moorland (named as L6 and L7) or plantations of Sitka spruce Picea sitchensis with lodgepole pine Pinus contorta (named as L3). Some reductions of forest cover have occurred in L3 with normal logging operations. A 24-hour experiment was conducted at the Diversity in Upland Rivers for Ecosystem Service Sustainability (DURESS) cascading flumes at these streams during September 2014. Each flume consisted of 3 channels, each assigned a different treatment: control, sugar addition and peat addition. Sugar (sucrose) and peat were added to channels to represent a simple and complex form of dissolved organic carbon (DOC) respectively. Five biofilm samples were collected from random locations in each experimental channel. Samples were taken at 0.5, 3, 15 and 24 hours after the start of the experiment. Epilithon were taken from unglazed ceramic tiles that had been colonised by epilithon in the river. After amplification, the 16S rRNA fragments were sequenced on the Illumina MiSeq next generation sequencing platform. The main goal of this survey was to characterise bacterial diversity, the chemical and biological consequences of elevated DOC inputs, and to investigate the role of bacterial organisms in controlling organic carbon flux. Prof Andy Weightman and Dr Isabelle Durance were responsible for organising the experiments. Sampling was carried out by Dr. Isa-Rita Russo and a team of Post Doctoral Research Assistants (PDRA's)/students. The work was carried out under the Diversity in Upland Rivers for Ecosystem Service Sustainability (DURESS) project (Grant reference NERC NE/J014818/1). DURESS was a project funded by the Natural Environment Research Council (NERC) Biodiversity and Ecosystem Service Sustainability (BESS) programme. Full details about this dataset can be found at https://doi.org/10.5285/df829b9f-c4c5-4e53-9217-c9c1e5bd078d

Aquatic carbon (dissolved inorganic carbon (DIC), dissolved organic carbon (DOC) and particulate organic carbon and the carbon isotopic composition of DIC) and nutrients (calcium, magnesium, potassium, sodium, total soluble phosphorus and silica) in rainfall fractions (rainwater, throughfall, stemflow and overland flow) were sampled in the Western Amazonian basin. The samples were collected towards the end of a wet season April - May 2012. Rainfall and throughfall samples were collected in plastic buckets. Stemflow samples were collected using stemflow collection systems. Overland samples were collected using a a plastic pipe cut lengthways directing flow into a plastic bucket. Established standard methods were used to analyse the DIC, DOC and nutrients. These methods are outlined in the lineage. The samples were taken to understand the nutrient and carbon delivery in rainwater as well as leaching from tree canopies, stems and from the soil surface. The data collection was carried out as part of the Natural Environment Research Council (NERC) funded Amazonica project (NE/F005482/1). Full details about this dataset can be found at https://doi.org/10.5285/59bdb8f6-fb1f-418f-a53c-394f6c68a334