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  • The dataset comprises 50 hydrographic data profiles, collected by a conductivity-temperature-depth (CTD) sensor package, from across the North Sea and the North East Atlantic Ocean (limit 40W) areas specifically to the east of Scotland, during January and February of 2000. A complete list of all data parameters are described by the SeaDataNet Parameter Discovery Vocabulary (PDV) keywords assigned in this metadata record. The data were collected by the Fisheries Research Services Aberdeen Marine Laboratory.

  • The dataset comprises 122 hydrographic data profiles, collected by a conductivity-temperature-depth (CTD) sensor package, made in the NE Atlantic specifically NE of Penmarc' h Canyon, during July 1998. A complete list of all data parameters are described by the SeaDataNet Parameter Discovery Vocabulary (PDV) keywords assigned in this metadata record. The data were collected by the Defence Evaluation and Research Agency Winfrith.

  • The dataset comprises 13 hydrographic data profiles, collected by a conductivity-temperature-depth (CTD) sensor package, from the North Sea area specifically around the Shetland Islands and the Viking Bank, during October 2003. A complete list of all data parameters are described by the SeaDataNet Parameter Discovery Vocabulary (PDV) keywords assigned in this metadata record. The data were collected by the Fisheries Research Services Aberdeen Marine Laboratory.

  • The dataset comprises 95 hydrographic data profiles, collected by a conductivity-temperature-depth (CTD) sensor package, during August - September 1991. The cruise occupied the World Ocean Circulation Experiment (WOCE) Atlantic Area 12 (AR12) with stations in the North East Atlantic between the southern tip of Greenland and the western Irish coast. A complete list of all data parameters are described by the SeaDataNet Parameter Discovery Vocabulary (PDV) keywords assigned in this metadata record. The data were collected by the Institute of Oceanographic Sciences Deacon Laboratory as part of the World Ocean Circulation Experiment (WOCE).

  • The dataset is the lake polygons from the UK Lakes Portal (https://eip.ceh.ac.uk/apps/lakes/), originally based on OS PANORAMA but this dataset includes data from a number of sources. It has a basic set of attributes including the water body ID (WBID) as well as the computed area and perimeter of each lake. The WBID is commonly used across research institutions and is the same ID as used on the UK Lakes Portal, where more information can be found on each lake in this dataset. This is v3.6, which follows the same versioning as the underlying database. Although the database has seen the majority of the changes since version 1, the polygons have also been changed and improved over that time, mostly fixing issues with lake outlines, but also some new sites being added. Full details about this dataset can be found at https://doi.org/10.5285/b6b92ce3-dcd7-4f0b-8e43-e937ddf1d4eb

  • The dataset consists of tree diameter at breast height (DBH) of all trees > 1 cm DBH in 16 parcels of 15 m x 15 m in the tropical heath forest of the Kabili-Sepilok Forest Reserve (Sabah, Malaysia). Also included are the tropical heath forest trees’ leaf element concentration. Tree DBH has been measured three times, one before (2016) and two after (2017 and 2018) the experimental application of Nitrogen fertiliser and CaCO3 to the forest floor. The leaves were collected before (2016) and after (January 2017; July 2017; June 2018) the application of experimental nitrogen and CaCO3 fertilisation. The experimental setting consists of four replicate parcels for the control plots, four replicates for the Nitrogen treatment, four replicates for the CaCO3 treatment and four replicates the Nitrogen and CaCO3 treatments combined. Full details about this dataset can be found at https://doi.org/10.5285/d5ea9e2c-f053-4631-aead-a8a5557488c6

  • CT scans of adult little skates (Leucoraja erinacea). These scans consist of series of tiff images that can be imported into CT segmenting software to reconstruct their shape in three dimensions. Supplemental files include CT scanning parameters, landmark coordinates for each vertebra in each skate, up to vertebra 70, as well as an R script with code for analysing vertebral shape using morphometrics and segmented linear regression tests. Computed tomography scans of three adult little skates were obtained in order to quantitatively study vertebral column morphology and regionalization. The skate fins were removed to facilitate shipping to our scanning facility, and so the scans include only the head, gill basket, and axial column. The specimens are now housed in the University of Cambridge Museum of Zoology (specimen identification numbers 2021.50.1, 20201.50.2, and 2021.50.3). Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/9d7810c7-92af-47b2-81ec-365aafc39691

  • This is a web map service (WMS) for the 10-metre Land Cover Map 2020. The map presents the and surface classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. It is the first 10m resolution land cover map produced by UKCEH..

  • This dataset comprises 39 hydrographic data profiles, collected by a conductivity-temperature-depth (CTD) sensor package, in July 2008 from stations in Liverpool Bay and Eastern Irish Sea. A complete list of all data parameters are described by the SeaDataNet Parameter Discovery Vocabulary (PDV) keywords assigned in this metadata record. The data were collected by the Proudman Oceanographic Laboratory as part of the National Oceanography Centre (formerly the Proudman Oceanographic Laboratory), Liverpool Bay/Irish Sea Coastal Observatory initiative.

  • This data set contains UK-wide maps of ten different among-model ensemble approaches for two services: above ground Carbon stock and water supply. The data for Carbon comes as fourteen TIF maps for above ground carbon storage at a 1-km2 resolution with associated world files: ten approaches, with a double option for two of those, together with maps of variation among models and among ensembles. For water, the data comes as one shapefile with polygons per watershed, each polygon containing these fourteen estimates. For all maps, 600dpi jpg depictions are added to the supporting information. Directory location independent layer files are included to aid scaling and providing the colour palettes. Ensemble output maps were calculated with different approaches following the supporting documentation and associated publication. Uncertainty estimates for these services are included as variation among contributing model outputs and among the employed ensemble approaches. The work was completed under the ‘EnsemblES - Using ensemble techniques to capture the accuracy and sensitivity of ecosystem service models’ project (NE/T00391X/1) funded by the UKRI Landscape Decisions programme. Full details about this dataset can be found at https://doi.org/10.5285/a9ae773d-b742-4d42-ae42-2b594bae5d38