cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5285/9156d263-4def-406d-bdc9-22a6821fe755
title: Plant aboveground net primary productivity estimates (2021) and litter layer depth measurements (2018-2019) at five long-term grassland-to-woodland land use contrasts across England

description: This dataset  contains aboveground net primary productivity (ANPP) estimates and litter layer depth measurements from five long-term grassland-to-woodland land use contrasts across England between 2018 and 2021. Each metric was measured once at each site. Litter layer depth was measured between November 2018 and March 2019 . Leaves were sampled for ANPP estimates in 2021. Each land use contrast was assigned a grassland and a woodland plot respectively. Each of these plots was further divided into three grids (grassland grids 1 to 3 / woodland grids 4 to 6) with grids 1 and 6 being the furthest apart. The contrast boundary is between grids 3 and 4. In each plot, nine sampling locations were randomly sampled (three in each grid). The five land use contrasts were: Gisburn (Gisburn-1, Gisburn-2), Alice Holt, Wytham Woods, and Kielder Forest. ANPP (g dry mass m-2 yr-1) was estimated from measured leaf dry matter content of the two dominant species in each grassland and woodland plot. Litter layer depth (cm) was measured with a ruler in the field.

ANPP estimates and litter layer depth measurements in this dataset are co-located with soil physical, chemical and biological properties (0-1 m), soil hydraulic measurements (soil water release curves and hydraulic conductivity), and earthworm counts and identification. A file is provided to connect all co-located measurements.

This project was part of the UK-SCAPE programme which started in 2018 and was funded by the Natural Environment Research Council as National Capability (award number NE/R016429/1).
description: To estimate ANPP, leaves of the two dominant species in grassland and woodland plots were sampled from grids 2 and 5 during peak plant growth. The leaves were dried at 80oC for 24 h and leaf dry matter content (LDMC) was calculated. The LDMC values were then used to estimate ANPP using the model by Smart et al. (2017).

The litter layer depths were measured in most grids with a ruler at the time of soil sampling. Three measurements were recorded on field sheets and transferred to Microsoft Excel. The data were manipulated using R to calculate the mean and the data were exported as a .csv file  .
DOI: 10.5285/f5394eaa-5ccb-4cf7-9ee4-c057c35b8517
title: High-resolution (2 metre) digital elevation models of difference showing surface change following the Chamoli ice-debris flow, India, February 2021

description: These data are digital elevation models (DEMs) of difference (DoD). They are a geospatial dataset created in raster (.tif) format and quantify vertical (z) topographic change between two dates.  The data were created to support analysis of landscape change following the 7th February 2021 avalanche-debris flow in Chamoli District, Uttarakhand, India. 

The data also supported numerical modelling using CAESAR-Lisflood (see related data https://catalogue.ceh.ac.uk/documents/7023cb77-c797-475e-872c-6f1e2b63dcc1). They are most commonly imported into GIS software, where they can be analysed or support other forms of geospatial analysis.
description: The DEMs from which these DoDs were created are available in the related data collection. The DoDs were created in QGIS software (versions 3.18 and 3.24) using the Raster Calculator tool. For a given DEM pair, the later DEM was subtracted from the earlier DEM to create a DoD. In this way, minus values show surface lowering (e.g. erosion), and positive values show surface gain (e.g. deposition). Where holes/data gaps existed in the input DEMs, these are reproduced in the subsequent DoD. (These holes occur where photogrammetric reconstruction failed due to poor key-point or tie-point extraction due to cloud cover, topographic occlusion, or because of a large offset between the view angle of the two satellite image acquisitions, for example).
DOI: 10.5285/77df4b96-c5e4-419a-b7cf-fc1d9a05c61c
title: Automatic weather station recordings from Moor House and Helbeck 1974-1987

description: The data contain solar radiation, air temperature, temperature depression, wind velocity, wind direction and rainfall from Automatic Weather Stations (AWS) located at Moor House and Helbeck, Cumbria, UK. This data contain a mixture of hourly and daily readings. The data were collected between July 1974 and February 1987 at Moor House and between May 1974 and October 1983 at Helbeck.
description: These data were collected by Ken Taylor and stored in a database at the Centre for Ecology & Hydrology [as described in: Cuthbertson, M. (1993) - see supplemental information for reference]. This is a historic dataset so quality assurance procedures for the data are unknown.
DOI: 10.5285/f484ff54-9139-462e-b37a-347a69f78500
title: Potential afforestation scenarios based on catchment structure and land cover for twelve catchments in Great Britain for use with the Joint UK Land Environment Simulator (JULES)

description: Data comprise a set of broadleaf afforestation scenarios (provided as netCDF files) that may be run with the Joint UK Land Environment Simulator (JULES), a community land surface model. The scenarios are based on the CEH Land Cover 2000 classification. Afforestation takes place according to catchment structure and existing land cover.

Scenarios cover twelve river catchments in Great Britain: Dee, Tay, Ouse, Ure, Derwent, Thames, Avon, Tamar, Severn at Bewdley , Severn at Haw Bridge, Ribble and Clyde.

Afforestation scenarios relate to two catchment properties: - (1) River network structure and (2) Land use.  By using these two catchment properties, in conjunction with different extents of afforestation, up to 288 afforestation scenarios per catchment are generated.

This dataset was created as part of the NERC doctoral training partnerships (grant number NE/L002612/1).
description: The data is based on the UKCEH Land Cover 2000 raster at 25 m2. Drainage basin areas were discretised using the IHDTM (50 m2) and streams created using ArcGIS 10.6. Land cover scenarios were converted to fractions of the eight different land cover types according to JULES base configuration at a 1 km2 grid scale. Each of the eight land fractions rasters were then combined in a netCDF file using the Python packages rasterio and netCDF4 to create the land cover scenarios in a format for JULES to process. Land maps generated were compared to the CHESS-land dataset to ensure that they were generated accurately.
DOI: 10.57745/jy2wua
title: 2009-EGG-BY-0101–Demidovitch.ogg

description: Enregistrement audio en version originale russe
DOI: 10.57745/mcbx2q
title: Entretien avec Nadejda Demidovitch. Histoire de vie et expériences de déportation en URSS

description: Cet entretien a eu lieu le 14 décembre 2009 à Kalodzichtchy (région de Minsk), Biélorussie. Il a été mené par Alain Blum et Nathalie Moine. L'entretien a été réalisé en russe. Il a duré 2 heures et 22 minutes.
DOI: 10.15468/dl.9nntaw
title: Occurrence Download

description: A dataset containing 702 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "Geometry MULTIPOLYGON (((-0.5114257 41.61087, -0.5039221 41.61461, -0.488952 41.62095, -0.4665735 41.6322, -0.4545959 41.63442, -0.4438331 41.6416, -0.4567004 41.64967, -0.4774612 41.66099, -0.4917934 41.66677, -0.4984065 41.67008, -0.5106989 41.65788, -0.5275867 41.64063, -0.5321925 41.63425, -0.5354781 41.62269, -0.5114257 41.61087)))"
 ]
}

 The dataset includes 702 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031269-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.adu76y
title: Occurrence Download

description: A dataset containing 772 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Dominican Republic",
 "OccurrenceStatus is Present",
 "TaxonKey is Rutaceae"
 ]
}

 The dataset includes 772 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031270-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5285/0254620f-9cf1-4d5b-af3f-bd8a6af95e96
title: Subset of turbulent energy fluxes, meteorology and soil physics observations collected at eddy covariance sites in southeast England, June 2019

description: This dataset contains time series observations of surface-atmosphere exchanges of sensible heat (H) and latent heat (LE) and momentum (τ) measured at UKCEH eddy covariance flux observation sites during summer 2019. The dataset includes ancillary weather and soil physics observations made at each site.
Eddy covariance (EC) and micrometeorological observations were collected using open-path eddy covariance systems. Flux, meteorological and soil physics observations were collected and processed using harmonised protocols across all sites. 

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.

description: Turbulent flux densities were calculated from the raw EC data using the EddyPRO Flux Calculation Software Version 6.1. Quality Control of EC data involved removal of statistical outliers and statistical tests to remove data of poor technical quality. Data gaps in EC data (NEE, LE, H) were filled using the Marginal Distribution Sampling approach. 

Further details are available in the supporting documentation.
DOI: 10.5285/f4c79bd3-3ce9-4f4e-ae19-bb4fd2dce7a5
title: Concentrations of antibiotics in wastewater and receiving waters following water treatment in SW England, June-October, 2015

description: This dataset comprises of weekly concentrations of fluoroquinolones in wastewater and receiving waters collected in the Avon river catchment South West UK. The following fluoroquinolones were analysed: (±)-ofloxacin, (±)-ofloxacin-N-oxide, (±)-desmethyl-ofloxacin, (±)-lomefloxacin, (±)-moxifloxacin, S,S-moxifloxacin-N-sulfate, R-(+)-besifloxacin, (±)-prulifloxacin, (±)-ulifloxacin, (±)-flumequine and (±)-nadifloxacin; ciprofloxacin, desethylene-ciprofloxacin, norfloxacin and nalidixic acid.

The concentrations of (fluoro)quinolones were measured in receiving treated wastewater from 5 wastewater treatment plants (WWTPs), which serves 1.5 million people accounting for 75% of inhabitants living in the catchment area in the South West of England.

NERC Grant NE/N019261/1
description: Wastewater influent and effluent were collected for 7 consecutive days running from Wednesday to Tuesday between June and October 2015 from five major WWTPs contributing to one river catchment in the South-West UK.

Measurements of antibiotic were conducted using  chiral liquid chromatography coupled with tandem mass spectrometry. See supporting documentation for further details.
DOI: 10.5285/f9513ece-a913-4774-8808-273dcf7ed0be
title: Bed level change within the Tollesbury managed realignment site, Blackwater estuary, Essex, UK between 1995 and 2007

description: Bed level data are presented from transects at the Tollesbury Managed Realignment site, after the managed breaching of the sea wall in August 1995. Twenty measurements were taken at fixed positions along transects relative to an aluminium bar placed across a pair of permanent wooden posts at either end of each transect. Measurements were made to the nearest millimetre using a ruler. All measurements were made by the data author. Data from the original transects were collected monthly from September 1995 to 1998, bimonthly up to 2000 and then in April and September to 2007. Extra transects were added in April 1999 and data collected at the same frequency.

The data were collected investigate if the exposure of the agricultural land to seawater would result in the accumulation of silt. The work was funded by the Department for Environment Food & Rural Affairs (Defra) under the Centre for Ecology & Hydrology (CEH) contract C00356
description: At the Tollesbury Managed Realignment site (TL 960 110), prior to breaching the sea wall in August 1995, twenty 2 metre wide transects were randomly located within the site to measure sedimentation rates. Twenty measurements were taken at fixed positions along each transect relative to an aluminium bar placed across a pair of permanent wooden posts at either end of each transect. The height from the aluminium bar to the salt marsh surface was measured using a ruler to the nearest millimetre. Measurements were recorded in a field note book.

Data from these transects were collected monthly from September 1995 to 1998, bimonthly up to 2000 and then in April and September to 2007. In April 1999, five additional sediment transects were set up inside the site in areas thought to be eroding, and were not covered by the 20 transects already in place. Data from these transects were collected in April and September to 2007.

Data was transposed from the field notebook into an Excel spreadsheet. Data were exported as a comma separated value file for ingestion into the EIDC.
DOI: 10.5285/7f2a4935-a9e8-47dc-b126-93d9e19496bd
title: Daily automated weather station (AWS) data from Climoor fieldsite in Clocaenog Forest 1999-2015

description: This dataset contains daily automated weather station (AWS) data from the Climoor field site in Clocaenog forest, North East Wales. The data are air temperature (mean, minimum and maximum), rainfall, net radiation, solar radiation, photosynthetically active radiation (PAR), wind speed and direction. The dataset has been quality checked, and incorrect or missing values removed, data has not been infilled. Data runs from 12/6/1999 until 30/06/2015, no data was collected March 2006 and June 2008. Air temperature, rainfall and wind speed and direction were recorded since June 1999. Measurements of relative humidity, air pressure, net and solar radiation and PAR started in June 2008. Since June 2008, data are recorded in minute intervals, averaged to hourly, then to daily means that are reported here. The Climoor field experiment intends to answer questions regarding the effects of warming and drought on ecosystem processes. The reported data are collected to monitor site specific environmental conditions and their development with time. These data are important to interpret results that are collected from the climate change manipulations imposed in the field.
description: Prior to 2008, daily data was recorded on loggers at the field site, and manually downloaded into the project files on the CEH Bangor server by project staff. After 2008, hourly data was transferred from loggers at the field site onto CEH Bangor's server via a remote telemetry system. Each morning, the previous days data was transferred via telemetry. An automated script transferred the data into the project shared area of the shared network drive. Data quality checking was done on a regular basis by an experienced member of the team who has worked at the field site and on data from the Clocaenog site for 14 years. Data was visually inspected using basic graphing tools, and erroneous values were removed, taking into account the weather at the site during the period in question. Data processing steps included using a macro to combine data from individual 24 hour periods into larger timed periods (post-2008), then data was cut/pasted into raw data files. Data here is collated raw data, and has only had erroneous values removed followed by basic average or summing (in the case of rainfall) calculations being carried out. The following measures were taken with sensors from Campbell Scientific: relative humidity and air temperature are recorded with an HMP45C sensor. Rainfall sums are measured with an ARG100 Tipping bucket, air pressure is measured with a CS100 Barometer and net radiation is measured with an NR-Lites sensor. Further, Solar radiation and PAR are measured using a Skye SP1110 pyranometer and a SKP215 quantum sensor from Skye Instruments. Wind direction and speed are recorded using a windsonic 2D Ultrasonic Anemometer from Windsonic.
DOI: 10.5285/d8d37579-83f1-4e36-a681-984a086d6b68
title: Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) plant height on salt marsh sites at Morecambe Bay and Essex

description: The dataset comprises 10 direct measurements in centimetres of plant height taken within a 1metre (m) x 1m quadrat. Also presented are the mean, standard deviation, standard error and coefficient variation values. Sampling was conducted at six salt marsh sites at four spatial scales: 1 m (the minimal sampling unit) nested within a hierarchy of increasing scales of 1-10 m, 10-100 m and 100-1000 m. Three of the sites were in Morecambe Bay, North West England and three of the sites were in Essex, South East England. All samples were taken during the winter and summer of 2013. 
This data was collected as part of Coastal Biodiversity and Ecosystem Service Sustainability (CBESS): NE/J015644/1. The project was funded with support from the Biodiversity and Ecosystem Service Sustainability (BESS) programme. BESS is a six-year programme (2011-2017) funded by the UK Natural Environment Research Council (NERC) and the Biotechnology and Biological Sciences Research Council (BBSRC) as part of the UK's Living with Environmental Change (LWEC) programme. 

description: Ten direct measurements of plant height in centimetres were taken randomly within each 1metre (m) x 1m quadrat using the hand and meter rule method. Results were recorded onto field sheets. These data were transferred into an Excel file and calculations carried out. Results were exported as comma separated value files for ingestion into the EIDC. The location of the sample sites was determined by randomly allocated quadrats. Each site consisted of a rectangular area of saltmarsh between 400 x 500 m to 1000 x 1000 m in size, dependent upon saltmarsh length (parallel to shore) and width (perpendicular to shore), including part of the low, mid and high marsh zones. Twenty two 1 x 1 m quadrats were randomly allocated to each site rectangle using R (R Development Core Team, 2014) to specify four different spatial scales (A = 1 quadrat only, B = 3 quadrats at 1 m to 10 m apart, C = 6 quadrats at 10 m to 100 m apart, D = 12 quadrats at 100 m to 1000 m or site maximum).
DOI: 10.5285/3fcb8359-9ca3-4319-b680-e0286f59571a
title: Environmental and biological measurements from Tatton Mere and Rostherne Mere, UK, 2022

description: This dataset contains information about water conditions at Tatton Mere and Rostherne Mere, Cheshire over Summer 2022. Data was collected weekly as part of a study into the presence of algal blooms and the toxins they may produce. In situ testing recorded temperature, pH, oxygen and conductivity measures. Water samples were also collected and analysed in the laboratory for anion, cation and metal concentrations, chlorophyll-a concentrations and cyanobacteria identification and counts. 

The work was supported by the Natural Environment Research Council (Grant NE/X011607/1).

description: Samples were taken on a weekly basis from three sampling locations at each site. Field measurements were conducted for pH, conductivity, oxygen and temperature, using field meters calibrated according to the manufacturer’s instructions. 

For analysis of water chemistry, water samples were filtered and ran using ion chromatography (IC) to quantify chloride, nitrite, sulphate, nitrate, phosphate, sodium, ammonium, magnesium, potassium and calcium.  

Chlorophyll-a samples were prepared by filtering water onto a Whatman filter paper (0.2µm) and extracted in 96% ethanol, before absorbance was measured at wavelengths of 665 and 750 nm. 

Cyanobacterial were identified and enumerated using a Sedgewick-Rafter slide and analysed using a light microscope.
DOI: 10.5285/8c87a397-a010-48a4-8ca5-0f3742c2d857
title: Soil physico-chemical properties from eight UK agricultural sites, 2022

description: This data resource contains soil physico-chemical data from eight agricultural sites across the UK sampled during September 2022 and October 2022. For all sites, the data resource presents results for a range of soil characteristics including, pH, soil moisture, stone content, bulk density, organic matter content, soil texture, and total carbon and nitrogen content. Thermo-Gravimetric Analyses (TGA) was performed at one site due to atypically high values for total carbon content.

The soil samples were collected using a Split tube sampler. The soil samples were processed at UKCEH laboratories from September 2022 through to August 2023. Sample collection and analysis was performed by project staff.

The samples were taken to provide soil baseline data at the eight sites before the planting of perennial biomass crops.   

The project was funded by the Department for Energy Security & Net Zero (formally the Department for Business, Energy & Industrial Strategy (BEIS)) (Client reference - CEH-303).

description: Soil sampling was undertaken at pre-determined locations across the sites covering the areas where different plots of perennial biomass crops were to be planted. At each sampling location, a soil sample was taken to 30 cm depth using a Split tube sampler and then split into 0 to 15 cm and 15 to 30 cm depth increments. Due to the nature of soil, these depths had to be adjusted for some sites; in particular, due to the stoniness of soils. 

After sampling the samples were placed in an insulated cool box and transported to UKCEH (UK Centre for Ecology & Hydrology) Lancaster as soon as possible. Samples were then stored at 4°C in a dark fridge at UKCEH Lancaster until processing started within two weeks of the collection date. 

Standardised procedures were followed to analyse the soils from all sites for a range of soil characteristics including, pH, soil moisture, stone content, bulk density, organic matter content, soil texture, total carbon and nitrogen content, moisture and Loss-on-Ignition (LOI), Soil texture at the laboratory at UKCEH Lancaster. Due to atypically high values for total carbon content at one site (Auchincruive) archived samples from the site were also analysed by Thermo-Gravimetric Analyses (TGA) by the laboratory at UKCEH Bangor.  

Results from analyses were collated into Excel spreadsheets. Data were exported as comma separated value files for deposit into the Environmental Information Data Centre (EIDC)