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 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

Data from literature search systematically conducted using two widely-used academic databases: Web of Scienceâ„¢ (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 dataset can be found at https://doi.org/10.5285/71fc5250-727b-42ec-85ba-a45770e464b1

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 is embargoed until January 1, 2024]. The data contain measurements of the morphological shape of threespine stickleback from wild, F1 (filial generation 1) lab-reared, and F2-lab (filial generation 2) reared individuals. These last two groups were bred and reared from eggs in the lab. The files are in tps format and so within these contain the information regarding the population, rearing temperature, and scale factor for each specimen. The populations used are coded in a short form format but we also provide a key to decipher these names in csv format. Photos are also made available with corresponding tps files for F2 hybrid fish. Full details about this dataset can be found at https://doi.org/10.5285/a566fc20-a371-42a2-8530-9a3cade09261

The data are concentrations of different fluvial carbon species (dissolved inorganic carbon, dissolved organic carbon and particulate organic carbon) which form part of the lateral transport of carbon from the terrestrial to aquatic system. This influences the terrestrial carbon balance as well as being a key part of the freshwater carbon cycle. The submission also contains hydrological (stage height, discharge and water temperature) and water chemistry data (pH, conductivity and oxygen saturation). The data were collected from Peruvian rainforest streams within the NERC funded Amazonica project (NE/F005482/1). Full details about this dataset can be found at https://doi.org/10.5285/507a5e1f-e056-454c-8ff6-d185f3da8556

Bioclimatic envelopes for over 200,000 plant species. The data comprises a single csv file, containing the average value of the climate envelope per species for each of the following variables: Minimum temperature (K), Maximum temperature (K), Average temperature (K), Temperature range (K), Soil temperature level 1 (K), Soil temperature level 2 (K), Soil temperature level 3 (K), Soil temperature level 4 (K), Soil water volume level 1 (m^3 / m^3), Soil water volume level 2 (m^3 / m^3), Soil water volume level 3 (m^3 / m^3), Soil water volume level 4 (m^3 / m^3), Solar radiation (J / m^2), Total precipitation (mm). Also included is taxonomic information for each species, including the phylum, class, order, family and genus, as well as the number of occurrence records that informed the envelope. Full details about this dataset can be found at https://doi.org/10.5285/ca339c86-3674-4030-b891-35326e71141e