cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5285/986d3df3-d9bf-42eb-8e18-850b8d54f37b
title: Hydrological modelling and simulation data for the River Trent at Colwick under climate change

description: This data contains the time series flow discharge results of hydrological simulation of the River Trent at Colwick using UKCP09 Weather Generator inputs for a variety of time slices and emissions scenarios. The Weather Generator (WG) inputs were run on a hydrological model (Leathard et al., unpublished), calibrated using the observed record 1961-2002. Each simulation is derived from one-hundred, 30-year time series of weather at the WG location 4400355 for Control, Low, Medium and High emissions scenarios for the 2020s, 2030s, 2040s, 2050s and 2080s time slices. The datasets include the relevant accompanying input WG data. 
description: The 8-parameter model is based on the Ph.D work of Alex Leathard (unpublished) at Newcastle University. The model was set up and calibrated with data at Colwick on Trent (station 28009) from the period 1961-2002 using daily observed gauge data from CEH. Structural uncertainty and model calibration was performed by simulating 10,000 parameterisations selected by Latin hypercube sampling. Performance was evaluated using a 4-metric ranking comprising: the log transform flows of Nash-Sutcliffe Efficiency, and absolute difference between observed and simulated from the Q90, Q95, and Q99 percentile flows. This was done primarily to ensure good performance at low flows. Goodness-of-fit was also assessed at various periods of the historical record, including the drought of 1975-1976. The Model was run with outputs from the UKCP09 Weather Generator, by inputting 30-year time series for: 3 emsissions scenarios; time slices of Control, 2020s, 2030s, 2040s, 2050s, 2080s; 100 samples of each combination.
DOI: 10.5285/02c8a6b0-e59e-4278-b9a2-9958cd5a2c3c
title: Bacteroides phages recovered from human and animal faecal matrices in rural Kenya

description: This data describes the recovering and isolation processes of Bacteroides spp. strains from human and cattle faecal sources from rural areas in Siaya County (Kenya), and occurred between 7th and 28th of June 2018. The data also includes the detection of bacteriophages (infecting these Bacteroides spp. host strains) in conjunction with traditional faecal indicator organisms in water sources from Kisumu and Siaya County (Kenya) occurring between June 18th 2018 and June 13th 2019. Exact location (coordinates) of the sample points are also described in the data set. A microbiological technique using Bile Esculin Bacteroides (BBE) agar was used for the recovering and isolation processes of Bacteroides spp. strains. Standard ISO (7899-2, 9308-1, 10705-2 and 10705-4) techniques, such as membrane filtration and the double-agar-layer methods, were used for the detection of bacteriophages and traditional faecal indicator organisms. The purpose of data collection was to develop new markers that could identify cattle and/or human sources of faecal contamination, which could be used as part of a Microbial Source Tracking (MST) tool box. Technicians and researchers from the University of Brighton (UK), University of Southampton (UK), from the Victoria Institute for Research on Environment and Development (VIRED) (KE) and from the Kenya Medical Research Institute (KEMRI) (KE) were responsible for the collection and interpretation of data.
description: The data came into existence after three steps: firstly a field collection of cattle and human faecal material for the isolation and recovering of Bacteroides spp. host strains ; secondly laboratory work were performed for the isolation of those strains; and thirdly field and laboratory work were done for  assessing levels of bacteriophages and faecal indicator organism in environmental waters. Besides basic PPE (e.g.: gloves, glasses,..), fieldwork instrumentation included sterile wooden spatulas and an adapted sampling pole for the collection of cattle and human faeces from water pan shorelines and school pit latrines, respectively. Faecal and water samples were contained in sterile plastic containers in cooler bags containing ice packs  and transported to KEMRI Kisian laboratory within 4 hours of collection. In KEMRI Kisian laboratory a total of 10 (5 from cattle and 5 from human faeces) Bacteroides spp. strains were recovered, isolated and preserved (frozen) for posterior use. These recently isolated Bacteroides spp.  were then used as hosts, in the double-agar-layer method, for the detection of bacteriophages in Kenyan water sources. The units used for the detection of bacteriophages and traditional faecal indicator organism were  plaque and /or colony  forming units per 1 mL or 100 mL  of water sample (PFU / 1 mL; PFU / 100 mL and CFU / 100 mL). Calibration of laboratory instrumentation as well as the use of blank samples (distilled water) were employed as data quality controls.
DOI: 10.5285/4311fa93-fdcc-43bd-bb2e-185118c06ed7
title: Tree sapling sampling in a secondary subtropical forest invaded by Ligustrum lucidum subject to experimental management, Tucumán, Argentina, 2021-2023

description: The following dataset contains information on saplings of woody plant species in invaded subtropical mountain forests (Yungas) over three years. The forests were located in the Horco Molle Experimental Reserve and Parque Sierra de San Javier, Tucumán, Argentina. The data was collected as part of an experiment to investigate the impact of management control on the invasion of non-native species such as Ligustrum lucidum, and other less abundant non-native species, on the dynamics of the woody community. The experiment was conducted between June 2020 and November 2023.
This work was carried out as part of NERC grant NE/S011641/1 “Optimising the long-term management of invasive species affecting biodiversity and the rural economy using adaptive management”.

description: Data on saplings was collected during a field experiment that evaluated the management of secondary forests impacted by the invasion of Ligustrum lucidum. 

The experiment was conducted by establishing six permanent plots, each measuring 240m x 140m (3.36 hectares). The plots were into three pairs, with one plot being assigned as a control scenario (no actions taken), and the other as a treatment scenario (L. lucidum control and native tree plantation). Before implementing each treatment, there were 288 quadrats, each measuring 2m x 2m, marked with fixed stakes at each corner. Each plot contained 48 quadrats, allocating 12 to each of the four transects within each plot. 

Every six months, saplings in fixed quadrats were identified, measured, and tagged along transects within permanent forest plots. Saplings in quadrats that were >25 cm in height and  >5 cm in diameter at the base were identified. Field guides and local taxonomists helped identify the saplings mainly at the species level. Additionally, the number of vines, ferns, and shrubs were characterized at each quadrat and sampling date and their height was measured.
DOI: 10.5285/d4a7ca90-0c62-4a31-986e-f433e1644bf3
title: Carbon dioxide and methane fluxes and associated environmental observations between 2019 and 2021 from paired burned/unburned blanket bog undergoing restoration from afforestation at Forsinard, Sutherland, UK

description: This dataset contains time series observations of land surface-atmosphere exchanges of net ecosystem carbon dioxide exchange (NEE), sensible heat (H) and latent heat (LE), methane (CH4) and meteorological observations measured at two locations in the Flow Country blanket bog complex, Caithness and Sutherland, UK. The tower over the area affected by wildfire after initial felling (UK-DKF) is located at 58.431, -3.96 and monitors across a footprint affected by a wildfire in early May 2019. The tower over the area felled for restoration after previous afforestation (UK-DKE-RESTORED, which was not affected by the wildfire) is located at 58.428, -3.967 and measures fluxes from a footprint identical in ground flora, topography, soil type and previous management to that of the FIRE tower, with the only exception that the fire did not reach as far as the footprint monitored. The dataset comprises eddy covariance CO2, water and energy fluxes, originally collected at 20Hz and processed to 30-minute data, as well as accompanying meteorological observations, originally collected at 15 min and processed to 30-minute data. The time period covered in this dataset is 25/09/2019 – 20/05/2021.
description: Latent heat fluxes (LE) and NEE were monitored using an enclosed path eddy covariance (EC) system. CH4 fluxes were monitored using an open path EC system. Sensible heat flux was derived from sonic anemometer measurements. A range of micrometeorological measurements were carried out on the same mast as the EC data collection. Soil physics were measured close to the EC mast (within a radius of 5 m).
Thirty‐minute flux densities of sensible and latent heat (LE and H) and net ecosystem CO2 exchange (NEE) were computed from the raw EC data using EddyPRO® Flux Calculation Software (v 7.0.6; LI‐COR Biosciences, Lincoln, Nebraska). Quality control (QC) procedures were applied to ensure only high-quality turbulent flux data were retained for analysis.
DOI: 10.57745/ffwblf
title: 2010 EGG F 0101 - Welch.ogg

description: Enregistrement audio en version originale anglaise
DOI: 10.5285/4b53b1d7-f290-4b47-97e9-9f9ec79f3003
title: Nitrogen and Carbon isotope data from 210Pb dated lake sediment cores in the United Kingdom

description: A dataset of historical sediment Carbon and Nitrogen isotope measurements from lake cores (n=95) spanning the range of lake types and catchments found across the UK. These data have been obtained from the Environmental Change Research Centre (ECRC) lake sediment core archive with well-resolved time intervals (1850, 1900, 1980 and present) determined by radiometric dating (210Pb; 137Cs). This data has been collated to investigate historical sources and accumulation of C and N in lakes. This dataset provides historical data for hydrological / nutrient modelling from the Long Term Large Scale (LTLS) Project in the NERC Macronutrients programme.
description: The Environmental Change Research Centre (ECRC), University College London core archive has been used to compile a UK wide, time slice dataset of lake sediment Nitrogen and Carbon and stable isotope measurements. The sediment archive has grown from lake coring projects undertaken by the department and employees of ENSIS Ltd, the environmental consultancy based within the ECRC. Details of core materials in the archive are maintained by the ECRC-UCL "AMPHORA" database from which core location, collection date, lake name and LOI 550% (organic content) values are were derived for this dataset. Measurements of sediment Carbon and Nitrogen and their stable isotope ratios from the selected time/depth intervals have been added to this data.
DOI: 10.5285/fec704d2-ee6a-427b-9345-850dd96ff1b4
title: Global river cellulose decomposition assay data 2016-17

description: This dataset contains information regarding mountain river sites sampled in 2016-17. It includes: 
1) physicochemical parameters of the river sites sampled,
2) tensile-strength loss data of a standardised cotton strip assay as a proxy for the decomposition of cellulose in mountain rivers, 
3) molecular next generation sequencing data of the fungal Internal Transcribed Spacer region (ITS) and Cellobiohydrolase I gene (cbhI) sampled from the cotton strip decomposition assay.

Field observations were made in Alaska, Austria, Ecuador, France, New Zealand and Norway to investigate how decreasing catchment glacier cover influences the fungal decomposition of organic matter in mountain rivers.  

description: In the field, physicochemical parameters were obtained using a combination of in-situ probe measurements and geomorphological assessment, alongside collection of river water for ex-situ determination of some variables. A standardised cellulose (cotton strip) decomposition assay was deployed at each river site. In the laboratory, a tensiometer (University of Leeds) was used to determine the tensile-strength loss for incubated and control cotton strips, as a proxy for the decomposition of cellulose. Tensile-strength loss values were standardised by days of incubation and water temperature. DNA was extracted from subsamples of the cotton strips and next generation sequencing (qPCR, PCR) (University of Essex) performed to estimate the abundance of fungi (ITS), subgroups of fungi (saprotrophs, Ascomycota, Tetracladium) and a fungal gene (cbhI). Molecular data was subjected to quality control prior to taxonomic classification and assignment of trophic mode.
DOI: 10.57745/fcnwlj
title: Entretien avec Henry Welch. Histoire de vie et expériences de déportation en URSS

description: Cet entretien a eu lieu le 24 novembre 2010 à Paris, France, au bureau rue de l'Amiral Mouchez. Il a été mené par Marta Craveri et Alain Blum. L'entretien a été réalisé en anglais. Il a duré 1 heure et 2 minutes.
DOI: 10.5285/6b29f79b-c534-40f2-bbb1-8b4dbb397af2
title: The Fourier Transform Infrared Spectroscopy (FTIR) spectra of poly(hydroxybutyrate)-based systems with clay additives changing crystallisation kinetics recorded at ambient temperature

description: The dataset contains spectra of Poly(hydroxybutyrate) – PHB – systems performed at ambient temperature. The data was collected using Fourier Transform Infrared Spectroscopy (FTIR), using two types of clay (10A and 25A) that act as a nucleating agent in polymer matrix. 
description: The data was collected using an FTIR spectrometer at University of Strathclyde. The sample was prepared by melting it between two Kapton sheets, using an aluminium oval mould. Then, the sample was placed in liquid nitrogen and placed at the FTIR stage equilibrated at ambient temperature. The FTIR spectra were collected at various positions in the sample and saved in .csv files.
DOI: 10.5285/d62347ba-0173-4857-b3fc-b7238988f0d8
title: Drone footage of the water surface of four rivers and one tidal site in a range of flow conditions in the UK, Australia, Switzerland and Japan, 2022

description: The dataset is a collection of drone videos collected to calculate surface water flow speeds (velocity) in order to provide field validation of flow speeds calculated from satellite-derived video for the FluViSat project (Hydrological Flow Measurement from Satellite Video). 

The videos were taken using standard, unmodified DJI-Air2S camera drones on four rivers across England, Australia, Switzerland, and Japan and one tidal site in Scotland. Each video is at least 20-seconds in length, with minimum resolution of 1920 x 1080 pixels. The videos are taken at nadir angle with the drone stationary above a fixed point in the centre of the river. As such a viewer can clearly observe the surface of the water in these videos. These videos were used to provide a very effective validation dataset for the satellite derived videos. 

Videos were collected on the following dates and when the site was in the following conditions:

-	Burdekin River, Australia – 7th and 8th January and 18th May. River in high flow conditions.
-	River Tweed, Norham, England – 15th March. River at medium flows. 
-	Falls of Lora, Connel, Scotland – 16th and 18th March and 14th, 15th, and 16th July. Tidal race captured at various flow conditions.
-	Uono River, Negoya, Japan – 10th May. River at medium-high flows.
-	River Rhine at Rhine Falls, Switzerland – 18th August. River at low to medium flows.

This work was carried out under the Future-EO-1 EO Science for Society, and funded by, the European Space Agency.
description: DJI Air2S drones, which are off-the-shelf consumer drones in the sub 2kg category, were used to collect all these videos.

Prior to the flight the operator ensured that the camera’s resolution was set to at least 1920 x 1080 pixels and that the ISO, white balance was set to optimise for lighting conditions to maximise the visibility of surface tracers. 

The operator stood (safely) by the river’s edge and manoeuvred the drone over the point of interest. The drone’s camera was then positioned in a nadir view and the video captured. This was repeated along a few points within the area of interest that the satellite video would cover to obtain multiple videos in which surface tracers/features were visible on the surface of the water.  These tracers were used to calculate velocity of the surface from both the drone and satellite videos at a later stage.

The drone’s GPS and optical positioning sensors and 3-axis gimbal ensure that the imaged area remains stable, and an mp4 file is stored on a MicroSD card onboard the drone. An accompanying SRT file (a Subtitle file) captures flight information, the most useful being latitude, longitude, and altitude. This was enabled for all videos captured in the UK and has been provided with the mp4 videos.
DOI: 10.5285/e78e1cef-e30b-4313-8733-c03e1a7b7b2f
title: Anthropogenic litter data collected from the Portoviejo River, Ecuador, 2021-2022

description: This data resource contains information on anthropogenic litter from the Portoviejo River, in Ecuador, collected between years 2021 and 2022. This work is part of the Natural Environment Research Council project “Reducing the impacts of plastic waste in the Eastern Pacific Ocean” (NE/V005448/1). The purpose of collecting this dataset was to obtain consistent observational data of solid waste contamination in a South American river system using a newly developed clean-up technology called the Azure System. The dataset contains information of weight (in kilograms) of different categories of anthropogenic litter collected using the Azure System, a floating barrier designed as a litter extraction tool for rivers. The system was developed by Ichthion Limited (https://ichthion.com/), who were also responsible for data collection on site. The barrier was installed at the city of Portoviejo, where litter was collected from February 2021 until December 2022 and quantities were reported weekly for each month.
description: Data for anthropogenic litter was originally tabulated by operators and Ichthion as weight (kilograms) by week for general litter categories describing its previous use (e.g.: plastic bottles, plastic food wrappers, plastic grocery bags, plastic straws/cutlery, metal, organic waste, glass bottle and jar, fil plastics, plastic cup, footwear, foam container, tetrapak drinks, hard plastic pieces, and others). Initial spreadsheets consisted of separated excel files for each sampling year (2021 and 2022), and within each file there were separated tabs for each month. From those initial spreadsheets, litter data was checked by Ichthion for quality control and then reorganised at the University of Exeter onto a new spreadsheet, reclassifying the types of anthropogenic litter according to OSPAR Guidelines Guideline for Monitoring Marine Litter on the Beaches in the OSPAR Maritime Area, Edition 1.0, 2010 (https://www.ospar.org/ospar-data/10-02e_beachlitter%20guideline_english%20only.pdf). Upon reclassification, data was then organised in weight of anthropogenic items per litter category per week, as seen on the provided dataset.
DOI: 10.5285/0e0a89e1-21f9-413e-8d7e-764b0b714dd6
title: Ecosystem function and vegetation data from a land use gradient on Salisbury Plain in June 2014

description: This dataset contains ecosystem function and vegetation survey data from soils collected from Salisbury Plain, UK. The sites were selected to reflect the four main grassland management types on Salisbury Plain ranging from arable cropland to species rich grassland, with six representative grassland plots for each type (24 sites in total). Each site had four replicates for each variable measured. The data collected was intended to illustrate a gradient of ecosystem functioning and vegetation change as the grassland becomes more extensively managed. The field sampling was conducted by the University of Manchester and the Centre for Ecology & Hydrology at Wallingford. Soils were extracted for nutrients and analysed by the University of Manchester. The data includes vegetation surveys, where the cover of each plant species present was assessed, and diversity indices were calculated. Furthermore, greenhouse gas fluxes were measured in situ, and soil nutrients and microbial biomass were also determined.
description: The data presented in the set have been derived from equations presented in the methods document, in order to account for variations in abiotic variables such as soil moisture or bulk density, or in order to present data in widely used units. The final data have been collated and after outlier removal, but have not been subjected to any transformations to alter variance or normality.
DOI: 10.5285/450fd469-5cd7-4c8f-b113-ba469c358caf
title: Expert-based stakeholder mapping and engagement strategies for six invasive non-native species case studies in Argentina, Brazil, and Chile, 2021

description: Data package containing information and the results of our expert-based stakeholder mapping exercise for six invasive non-native species case studies in Argentina, Brazil, and Chile, 2021. These six case studies included invasive grasses (Urochloa spp.) in Brazil, glossy privet (Ligustrum lucidum) in Argentina, lodgepole (Pinus contorta) and Montery pines (Pinus radiata) in Argentina, American mink (Neogale vison) in Argentina and Chile, lodgepole (Pinus contorta) and Montery pines (Pinus radiata) in Chile, and German yellow-jacket (Vespula germanica) in Chile.

The datasets included are: (i) a list of all the stakeholders identified, their characteristics, interest in invasive non-native species (INNS) and their management, and the positive and negative ecological, economic, and social impacts of INNS experienced by the stakeholders; (ii) an example of a stakeholder spreadsheet used to collect information during our activities; (iii) a list of consensus strategies for engaging stakeholders identified by the participants; and (iv) two examples of stakeholder engagement strategies. 
description: Nineteen experts working on six case studies received individual stakeholder spreadsheets based on the file "INNS-ExampleStakeholderSpreadsheet.csv", and were instructed to complete them independently following the guidance provided in the file "INNSStakeholderMapping-Instructions&Guidelines.docx".

After two facilitated virtual workshops to discuss and revise the results (2021), coupled with two rounds of updating the individual stakeholder spreadsheets following the discussions and workshops, we produced consensus stakeholder spreadsheets for each of our six case studies, and classified each stakeholder into four categories based on their level of influence and level of interest: "context settlers", "crowd", "key players", and "subjects". The final, agreed consensus stakeholder spreadsheet can be found in the file "INNS-StakeholderDatasetComplete.csv". 

Based on these consensus stakeholder spreadsheets, the experts developed stakeholder engagement strategies tailored to each of those four types of stakeholder following the example provided in the file "Example-EngagementStrategies.pdf". 
The final, agreed lists of stakeholder engagement strategies can be found in the file "Consensus-EngagementStrategies.csv". 

All data have been anonymised to preserve stakeholder privacy and for the purposes of data sharing. All data were curated and double-checked again April-May 2023.
DOI: 10.15468/dl.kdp242
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Spain",
 "TaxonKey is Pinus nigra salzmannii",
 "Year 2022-2022"
 ]
}

 The dataset includes 5 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031274-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.