Data comprise results of social surveys carried out in China during 2016 – 2018 to environmental scientists and the local stakeholders (farmers and village to county level officials) to understand their knowledge learning dynamics and preference. Surveys were conducted in the rural villages in Puding County, Guizhou Province, Changwu County, Shaanxi Province, and Yujiang County, Jiangxi Province. Full details about this dataset can be found at https://doi.org/10.5285/e674e08c-fbf5-411b-940c-7e31014f0e76

This data set covers high resolution (30-min frequency) water quality and dissolved carbon data from a peatland river in Southwest Scotland (5.8 km2), part of the Whitelee Wind Farm complex. The data set covers approx. 2.5 years including two full hydrological years and 261 individual flood events between 23/05/2012 and 16/12/2014. Carbon data was measured using a Scan Spectrolyser – a field deployable UV-Vis light spectrometer. Full details about this dataset can be found at https://doi.org/10.5285/4c591c29-01c9-493b-806e-7253e2682376

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

This dataset contains information on reproductive events of blue and great tits recorded by manually inspecting approximately 300 to 500 nestboxes annually along a 35 km urban gradient in and around Glasgow, Scotland from 2014 to 2022. The datasets contain annually aggregated values per nestbox on clutch initiation, clutch size, number of hatchlings and fledglings. Data were collected to investigate the effects of urbanisation on daily activity patterns, reproductive traits and population dynamics of passerine birds. Full details about this dataset can be found at https://doi.org/10.5285/bb13cc09-5d6c-4f6a-bda8-de1915fa3cc0

Data from literature search systematically conducted using two widely-used academic databases: Web of Science (WoS) and Scopus . Data include the annual amount of KM publication in China and across the world, in WoS, the total amount of knowledge management (KM) publication during the searched years for each country (top 20), in Scopus, the total amount of KM publication during the searched years for each country (top 20), information about the retained KM publication for environmental management in China. The data were generated during the NERC grant 'The transmissive critical zone: understanding the karst hydrology-biogeochemical interface for sustainable management' reference NE/N007425/1 undertaken as part of the NERC Using Critical Zone Science to Understand Sustaining the Ecosystem Service of Soil & Water (CZO) programme. Full details about this dataset can be found at https://doi.org/10.5285/9bbcbd03-0b6d-409d-9ad1-650c25f5ac73

Survey data on knowledge exchange experience of both Chinese and British scientists working on critical zone and more broadly on geoscience. Data are drawn from questionnaire surveys to explore the knowledge management methods used in their environmental research. Data are anonymised social survey data from questionnaires. The data were generated during the NERC grant 'The transmissive critical zone: understanding the karst hydrology-biogeochemical interface for sustainable management' reference NE/N007425/1 undertaken as part of the NERC Using Critical Zone Science to Understand Sustaining the Ecosystem Service of Soil & Water (CZO) programme. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/71fc5250-727b-42ec-85ba-a45770e464b1

This dataset contains information about the luminescence signals measured from the Lake Suigetsu sediment cores across four time periods: the last 500 years (537 to -47 cal BP), the Laschamp geomagnetic excursion (44,828 to 35,550 cal BP), the limit of varves (73,130 to 69,413 yr BP) and glacial termination I (139,499 to 118,001 yr BP). Sampling intervals varied between time periods (see supporting documentation for more information). The luminescence signals were quantified using Portable Optically Stimulated Luminescence (POSL) analysis of bulk sediment using blue light and infrared exposures, and laboratory profiling analysis of prepared quartz fine fractions (using blue light exposures) and polymineral fine fractions (using blue light and infrared exposures). This data was collected to determine if these methods could be used to detect past catchment environmental change. Alongside this dataset, we estimated dose rate at six points across the four time periods studied using elemental concentrations. This data was collected to see if the luminescence signals measured from the Lake Suigetsu cores could be used to determine burial age. The work was supported by the NERC IAPETUS2 Doctoral Training Partnership. Full details about this dataset can be found at https://doi.org/10.5285/73ee6512-a7c6-464c-bae0-38862ab8b87a

The dataset contains CO2 efflux, hydraulic and water chemistry data from six field sites which vary in location, size and catchment characteristics. Measurements were made at: i) two sites in the UK - the River Kelvin (335 km2, semi-urban catchment) and Drumtee water (9.6 km2, peat dominated catchment); ii) four sites in the Peruvian Amazon - Main Trail (5 km2, seasonally active stream in a rainforest catchment), New Colpita stream (7 km2, perennial stream in a rainforest catchment), La Torre river (2000 km2, rainforest catchment) and Tambopata river (14 000 km2, rainforest catchment with some small scale agriculture and gold mining). CO2 efflux was measured at all sites on each sampling occasion alongside a range of other parameters to enable investigation into the controls on CO2 efflux. Parameters measured include flow velocity and water depth (from which other hydraulic parameters can be calculated), DIC concentration and pH (from which pCO2 can be calculated) and water temperature. Sampling was carried out over several years, thus capturing a range of seasons and flow conditions, and at all sites, measurement locations were chosen to ensure that a range of flow intensities were included. Full details about this dataset can be found at https://doi.org/10.5285/02d5cea7-10aa-4591-938a-a41e1c5bc207

This dataset contains information on individual birds caught at nestboxes or via mistnetting at 20 sites along a 35 km urban gradient in Glasgow, Scotland, 2014-2022. For each capture, we recorded the ring number of the individual, morphological parameters, whether samples were obtained and the sample number (blood, feather, faeces). The morphological measurements obtained were: Wing length (total length of the stretched wing, as per BTO guidelines), Weight (to the nearest 0.01 g), Tarsus length (using a caliper with 0.1 cm precision). Data were collected to investigate the effects of urbanisation on daily activity patterns, reproductive traits and population dynamics of passerine birds. Full details about this dataset can be found at https://doi.org/10.5285/9982cf52-7144-4877-9e17-1335f14140d8

This dataset contains information on activity parameters obtained from automated radiotelemetry data collected on individual birds of six passerine species (European robin, Eurasian blackbird, great tit, blue tit, dunnock, common chaffinch). Birds were caught via mistnetting at 4 sites along a 35 km urban gradient in Glasgow, Scotland, in autumn and winter of two years: 2020 and 2021. Once tagged, each bird was monitored for approximately 3-4 weeks. Raw telemetry data was processed and analysed in order to extract activity traits. The activity traits were: onset of morning activity, end of evening activity, total amount of daily activity. Data were collected to investigate the effects of urbanisation on daily activity patterns, reproductive traits and population dynamics of passerine birds. Full details about this dataset can be found at https://doi.org/10.5285/1b55a4eb-30be-4bd1-9144-cb7f8ba83b4e