The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor.

The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor.

The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor.

These data are macroinvertebrate composition and size in eight Welsh upland rivers with contrasting land-use, moorland and exotic conifer, in response to riparian deciduous leaf addition. Eight sampling reaches were chosen at two sites, Llyn Brianne (4 reaches) and Plynlimon (4 reaches). The experiment consisted of adding deciduous leaves to half of the reaches whilst the other half were maintained as a control (no addition of deciduous leaves). To characterise the benthic macroinvertebrate communities of the studied streams, Surber net sampling was used to collect monthly samples during 2013 in January (before deciduous leaf addition) and from February to April (after deciduous leaf addition) in each sampling reach. Some of the collected individuals were used to characterise the invertebrate biomass of each reach. The main goal of this survey was to examine how aquatic biodiversity responds to leaf addition in moorland and conifer forested rivers. Dr Isabelle Durance was responsible for organising the surveys, Dr Hugh Feeley and Marian Pye, were in charge of collecting, processing and sorting the invertebrate samples. The work was carried out under 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/d07fe8a7-d4da-43e5-834d-e1b0f4cff0ac

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

This dataset comprises of derived annual statistics for measures of rainfall, streamflow, temperature and stream acidity (pH) for a stream, draining a small, approximately 0.6 square kilometres, upland grassland catchment. The stream, Nant Esgair Garn, drains into the Llyn Brianne reservoir, Powys, United Kingdom. The data are for a 31 year period covering 1st April 1982 to 1st April 2012. The streamflow and acidity data are derived from 15 minute resolution observations throughout the calendar year 2013 from associated stream gauging and water quality stations on the Nant Esgair Garn. The monthly rainfall measures presented, were derived from local rain gauges. The monthly temperature measures presented were derived from observations at a weather station near Talgarth, Powys. Routines within the Lancaster University Computer-Aided Program for Time-series Analysis and Identification of Noisy Systems (CAPTAIN) Toolbox for Matlab were used to develop a dynamic model of these data. These models were then used to simulate the 31-year record for which monthly statistics were derived. The statistics were derived to develop greater understanding of the controls on the long-term dynamics of aquatic biodiversity observed by other researchers in this stream. The work was part of the Diversity in Upland River Ecosystem Service Sustainability (DURESS) project, NERC grant NE/J014826/1. Members of staff from the Lancaster Environment Centre, Lancaster University installed, maintained and downloaded the stream gauging and water quality stations and also carried out statistical analysis of the data. Full details about this dataset can be found at https://doi.org/10.5285/00185590-537e-40e4-969c-039f44b4dad9

This dataset comprises of derived annual statistics for measures of rainfall, streamflow, temperature and stream acidity (pH) for a stream, draining a small, approximately 1.2 square kilometres, upland conifer catchment. The stream, Nant Trawsnant, drains into the Llyn Brianne reservoir, Powys, United Kingdom. The data are for a 31 year period covering 1st April 1982 to 1st April 2012. The streamflow and acidity data are derived from 15 minute resolution observations throughout the calendar year 2013 from associated stream gauging and water quality stations on the Nant Trawsnant. The monthly rainfall measures presented, were derived from local rain gauges. The monthly temperature measures presented were derived from observations at a weather station near Talgarth, Powys. Routines within the Lancaster University Computer-Aided Program for Time-series Analysis and Identification of Noisy Systems (CAPTAIN) Toolbox for Matlab were used to develop a dynamic model of these data. These models were then used to simulate the 31-year record for which monthly statistics were derived. The statistics were derived to develop greater understanding of the controls on the long-term dynamics of aquatic biodiversity observed by other researchers in this stream. The work was part of the Diversity in Upland River Ecosystem Service Sustainability (DURESS) project, NERC grant NE/J014826/1. Members of staff from the Lancaster Environment Centre, Lancaster University installed, maintained and downloaded the stream gauging and water quality stations and also carried out statistical analysis of the data. Full details about this dataset can be found at https://doi.org/10.5285/b085a784-0e16-4174-b208-465a8f43c8c8

These data are suspended organic matter stocks of coarse and fine particulate organic matter in eight Welsh upland rivers with contrasting land-use, moorland and exotic conifer, in response to riparian deciduous leaf addition. Eight sampling reaches were chosen at two sites, Llyn Brianne (4 reaches) and Plynlimon (4 reaches). The experiment consisted of adding deciduous leaves to half of the reaches whilst the other half were maintained as a control (no addition of deciduous leaves). To characterise the suspended organic matter of the studied streams, water was filtered to collect monthly samples from December 2012 to January 2013 (before deciduous leaf addition) and from February to April 2013 (after deciduous leaf addition) in each sampling reach. The main goal of this survey was to examine how aquatic biodiversity and organic matter stocks respond to leaf addition in moorland and conifer forested rivers. Dr Isabelle Durance was responsible for organising the surveys, Marian Pye was in charge of collecting, processing and sorting the samples. The work was carried out under 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/10.5285/37e7a1b3-0564-4c6f-84df-a9635edb57b4

These data are macroinvertebrate composition and abundance in eight Welsh upland rivers with contrasting land-use, moorland and exotic conifer, in response to riparian deciduous leaf addition. Eight sampling reaches were chosen at two sites, Llyn Brianne (4 reaches) and Plynlimon (4 reaches). The experiment consisted of adding deciduous leaves to half of the reaches whilst the other half were maintained as control (no addition). Nylon mesh bags containing deciduous leaves were fixed in both experimental and control reaches to estimate leaf decomposition rates. The macroinvertebrate composition of the nylon mesh bags was surveyed in January 2013 and again in March 2013 in each sampling reach. The main goal of this survey was to examine how aquatic biodiversity responds to leaf addition in moorland and conifer forested rivers. Dr Isabelle Durance was responsible for organising the surveys, Dr Hugh Feeley, Dr Dan Perkins and Marian Pye were in charge of collecting, processing and sorting the invertebrate samples. The work was carried out under 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/10.5285/3e6a9ffd-59f2-48ea-840b-1582dc6c1e3d

These data are benthic organic matter stocks of coarse and fine particulate organic matter in eight Welsh upland rivers with contrasting land-use, moorland and exotic conifer, in response to riparian deciduous leaf addition. Eight sampling reaches were chosen at two sites, Llyn Brianne (4 reaches) and Plynlimon (4 reaches). The experiment consisted of adding deciduous leaves to half of the reaches whilst the other half were maintained as a control (no addition of deciduous leaves). To characterise the benthic organic matter of the studied streams, a Surber net was used to collect monthly samples during 2013 on January (before deciduous leaf addition) and from February to April (after deciduous leaf addition) in each sampling reach. The main goal of this survey was to examine how aquatic biodiversity and organic matter stocks respond to leaf addition in moorland and conifer forested rivers. Dr Isabelle Durance was responsible of organising the surveys, Marian Pye was in charge of collecting, processing and sorting the samples. The work was carried out under 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/10.5285/32eaf811-be10-40cb-9794-7c5a1b97a915