Climatic data from four sites (Newton Rigg, Widdybank Fell, Moor House and Great Dun Fell) along an altitudinal gradient in Cumbria 1952-1990. Standard Meteorological Office procedures were used. Full details about this dataset can be found at https://doi.org/10.5285/ab42fb7d-809f-4492-9ba5-c8aeebdee838

This dataset comprises hydrographic data profiles, collected by a conductivity-temperature-depth (CTD) sensor package, during July - August 1992. It incorporates CTD anchor stations and grid surveys in the Humber Estuary, Humber Plume and the Wash plus some additional casts further east in the Southern North Sea. The data were collected by the Ministry of Agriculture, Fisheries and Food Lowestoft Fisheries Laboratory as part of the Joint Nutrient Study I (JoNuS).

This is the land parcels (polygon) dataset for the UKCEH Land Cover Map of 2018(LCM2018) representing Northern Ireland. It describes Northern Ireland's land cover in 2018 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats. This dataset was derived from the corresponding LCM2018 20m classified pixels dataset. All further LCM2018 datasets for Northern Ireland are derived from this land parcel product. A range of land parcel attributes are provided. These include the dominant UKCEH Land Cover Class given as an integer value, and a range of per-parcel pixel statistics to help to assess classification confidence and accuracy; for a full explanation please refer to the dataset documentation. LCM2018 represents a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2018. These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2018. LCM2018 was simultaneously released with LCM2017 and LCM2019. These are the latest in a series of UKCEH land cover maps, which began with the 1990 Land Cover Map of Great Britain (now usually referred to as LCM1990) followed by UK-wide land cover maps LCM2000, LCM2007 and LCM2015. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. Full details about this dataset can be found at https://doi.org/10.5285/35f15502-d340-4ab5-a586-abd42f238b6e

The UK Argo programme data set comprises measurements of ocean temperature and salinity and provides information of surface and subsurface Lagrangian (measuring movement by tracing the path of a passively drifting object) displacement enabling the derivation of currents. The data set includes a mixture of near-real-time (quality controlled to operational ocean forecasting standards) and delayed mode (quality controlled to climate research standards) data collected by profiling floats. The UK floats from part of a global array throughout the world oceans. Real-time data are available within 24 hours of the float surfacing while delayed mode data become available within 12 months of the profile date. Floats drift at their parking depth (between 1000m and 2025m) for 5 or 10 days depending on float programming. Traditionally floats measured temperature and conductivity at regular intervals during their rise to the surface. In October 2007, the Argo programme achieved its goal to have (and maintain) more than 3000 active floats. As of 2012, some newly deployed floats are being programmed to collect data whilst drifting at their parking depth and during their ascent and additional oceanographic parameters, for example fluorescence, optical backscatter, and dissolved oxygen are being trialled for inclusion in the data set. The data has a variety of uses including assimilation into operational weather forecasts in near-real-time to climate research with the delayed mode data. The data set also includes Argo floats deployed by Mauritius, Saudi Arabia (one float in the Red Sea) Ireland and Portugal, as the British Oceanographic Data Centre manages the data from these floats in addition to those of the UK Argo programme.

[This dataset is embargoed until December 31, 2021]. This dataset is the first phenological trait data for Moringa oleifera and M. stenopetala trees from provenances collected in Kenya and planted at Ramogi. Trees were measured and scored for survival, height, diameter at breast height, fruiting and damage by three field surveyors. Full details about this dataset can be found at https://doi.org/10.5285/668f9f95-f367-4600-b93a-ffc24b67ce7f

This dataset comprises 11 hydrographic data profiles, collected by a conductivity-temperature-depth (CTD) sensor package, in October 1993 from stations in the NE Atlantic between 45 - 50 N, 5 - 15 W. 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 Royal Netherlands Institute for Sea Research as part of the Ocean Margin Exchange (OMEX) I project.

The dataset contains a diverse range of environmental data ranging from estuary properties including geomorphology, water depth and habitat characterisation to detailed time series of parameters such as salinity and chemical and nutrient concentrations. The data are stored in a database containing a directory of existing data sources for estuaries; data for the broad properties of 79 UK estuaries; and detailed hydrodynamic, bathymetric, and sedimentary information for six estuaries: Blackwater, Humber, Mersey, Ribble, Southampton Water and Tamar. The data range from 1965 to 2002 and include both historic datasets and those collected during a recent effort (1997-2002) to enhance our knowledge of estuaries. Data collection employed a variety of instrumentation and techniques, including water, biota and sediment sample collection and analysis and the deployment of hydrographic instruments such as sea level, temperature, salinity and optical backscatter recorders. The Estuaries Research Programme (ERP) began in 1997 with the EMPHASYS project, which aimed to improve our understanding of processes operating in estuaries and use this knowledge to enhance broad scale modelling techniques that can be applied to estuarine processes. This work was funded by the Environment Agency/Department for Environment, Food and Rural Affairs (DEFRA) Flood and Coastal Defence Research and Development Programme. The data are managed by the British Oceanographic Data Centre (BODC) and are available on CD-ROM.

Cloud properties derived from the AATSR instrument on ENVISAT by the ESA Cloud CCI project. The L3U datasets consists of cloud properties from L2 data granules remapped to a global space grid of 0.1 degree in latitiude and longitude, without combining any observations from overlapping orbits; only sampling is done. Common notations for this processing level are also L2b and L2G. Data is provided with a temporal resolution of 1 day. This dataset is version 1.0 data from Phase 1 of the CCI project.

This dataset comprises 2 hydrographic data profiles, collected by a conductivity-temperature-depth (CTD) sensor package, in September 1994 from stations in the Ria de Vigo between 42 - 43 N, 8.5 - 9.5 W. 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 Marine Research, Vigo as part of the Ocean Margin Exchange (OMEX) I project.

This dataset comprises 70 hydrographic data profiles, collected by a conductivity-temperature-depth (CTD) sensor package, in August 1994 from stations in the North East Norwegian Sea between 69 - 71 N, 15 - 19 E. 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 University of Tromsø Norwegian College of Fishery Science as part of the Ocean Margin Exchange (OMEX) I project.