cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5285/94aa98b2-b7f7-42c8-81ad-3085d0151eff
title: Smart sensor data from tracking the displacement of a physical analogue of a large wood dam in laboratory experiments

description: This dataset contains measurements from smart sensors monitoring the motion state of a physical analogue of a Large Wood (LW) dam in laboratory experiments. The smart sensors were equipped with an accelerometer, gyroscope and magnetometer and they recorded angular velocity, total acceleration, and the magnetic field. These data were used to calculate the linear acceleration and gravity acceleration which are also provided in this dataset. Three factors were changed during the experiment: inclination, constraint configuration, and flow conditions. The experiments were repeated 10 times.  
description: The physical analogue model of an LW dam was composed of a single hollow wooden dowel installed in a flume using a supporting frame. Two aluminium connections placed at the ends of the wooden dowel were used to mount the wooden dowel on the supporting frame and meant simple modes of movements could be singled out, namely rotation, vertical displacements, and horizontal displacements.

The motion of the LW dam under a range of different conditions was monitored using an accelerometer, gyroscope and magnetometer which were installed within the longitudinal borehole of the wooden dowel. The accelerometer and gyroscope had an acquisition frequency set at 59.5 Hz, whereas the magnetometer recorded at 5 Hz.  The sensor was equipped with an additional accelerometer measuring continuously; when the acceleration exceeded the user-defined threshold set at 390 mg, the sensor activated and started recording. Each experiment was repeated 10 times and the raw data from each of these experiments were stored in the ‘df_UC.csv’ files.

The raw data were processed to produce the measurements in the ‘df_UC_cal.csv’ files. First, the magnetometer data were upsampled to keep the same number of entries for each sensor. Second, each sensor was calibrated. Third, the orientation angles were computed combining the readings of accelerometer, gyroscope, and magnetometer by a built-in function from the Python library AHRS (Attitude and Heading Reference System). Gravity compensation was applied to derive linear acceleration and gravity acceleration. The total, linear and gravity acceleration in the earth system along the x and y direction were also calculated using simple transformations. More details are available in the ReadMe.docx.
DOI: 10.5285/ec78b74e-631d-4bef-8c28-618b4dc0fffd
title: Greenhouse gas and water chemistry data measured across the Tay estuary, Scotland, from 2009-2011

description: The dataset contains dissolved greenhouse gas and water chemistry data collected across 12 axial surveys of the Tay estuary, Scotland, starting in April 2009 and ending in July 2011. Ten fixed sampling points on the estuary were surveyed on each boat based campaign. Data were obtained either via direct, field-based measurements, or via subsequent sample processing and analysis in laboratories at UKCEH Edinburgh.
description: All data were generated by the authors. During the generation of chemical data, calibration standards of known concentrations were used for quality control of instrument outputs and sample concentrations fell within the calibration range.
DOI: 10.5285/3970a138-c035-40ac-bf1d-a2f8a464644a
title: Chemical and physical composition of soil for four elevations on Mount Etna, Sicily, 2017

description: This dataset contains chemical and physical composition of soil for four elevations on Mount Etna. Soil samples were collected in 2017 and 2019 and then analysed for chemical and physical composition by a commercial laboratory in Catania, Sicily. The measurements were conducted as part of a study in to transplanting of two Senecio species on Mount Etna.
description: 1kg of soil was taken and stored appropriately (in provided containers) for each of 3 samples at each of the four transplant elevations (500m, 1000m, 1500m, 2000m). Soil was then transported to the Nucleo Chimico Mediterraneo laboratories (Catania, Sicily) where they measured the soil for physical properties (grain sizes), pH, and nutrient, salt and ion contents.
DOI: 10.5285/4a568f41-ab14-475c-b13e-3499277fef79
title: Isothermal crystallisation of PLA recorded using Fourier transform infrared spectroscopy (FTIR) at various crystallisation temperatures

description: This dataset contains files of isothermal crystallisation of polylactic acid (PLA). The data was collected using a Fourier Transform Infrared (FTIR) spectrometer, with the temperature range spanning from 80 to 150 °C.
description: The data was collected at the University of Strathclyde using an FTIR spectrometer with a heated stage. 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, where it was equilibrated at a given temperature. The FTIR spectra were collected every 1 minute and saved in .csv files.
DOI: 10.5285/a22b495e-b2cd-43cd-95b7-8712b64dc0da
title: Physico-chemical water properties and greenhouse gas measurements along a longitudinal estuary transect, Clyde estuary, Scotland, 2020-2022

description: These data include greenhouse gas concentrations and physio-chemical water properties for the Clyde estuary in Scotland to support understanding of the GHG sources and sinks and their associated mechanisms in a highly stratified, temperate  urban estuary.  These measurements look at the changes in GHG along the Clyde estuary taking measurements from land to sea  down the estuary on the ebb tide at both the surface and bed so the impact of location, river flow, wastewater treatment outflows and  stratifications can be understood.
description: The field data were collected between September 2021 and May 2022 on the Clyde estuary by power boat by making transects along the Clyde estuary across 8 surveys where data was collected both near the surface and near the bed.   Samples were analysed within the lab at UKCEH Edinburgh as part of an IAPETUS 2 DTP NERC funded PhD.

Data were carefully quality controlled to check analytical methods data were correct including cross checking of data from different and methodologies and between surveys.   Any suspect data have been removed.
DOI: 10.5285/8ad12782-e939-4834-830a-c89e503a298b
title: Saiga antelope die-off and calving sites in Kazakhstan

description: This dataset records the Saiga antelope die-off and calving sites in Kazakhstan. It represents the locations (and where available dates) of (i) die-offs and (ii) normal calving events in the Betpak-dala population of the saiga antelope, in which three major mass mortality events have been recorded since 1988.  In total, the data contains 214 saiga die-off and calving sites obtained from field visits, aerial surveys, telemetry and literature. 

Locations derived from field data, aerial surveys or telemetry are polygons representing the actual size and shape of the die-off or calving sites; locations sourced from the literature are point data around which buffers of 6km were created, representing the average size of calving aggregations.

Of the 214 locations listed, 135 sites for which environmental data were available were used to model the probability of a die-off event. The collection and use of these data are written up in more detail in papers which are currently under review (when published links will be added to this record).

Saiga antelope are susceptible to mass mortality events, the most severe of which tend to be caused by haemorrhagic septicaemia following infection by the bacteria Pasteurella multocida. These die-off events tend to occur in May during calving, when saigas gather in dense aggregations which can be represented spatially as relatively small sites. The Betpak-dala population is one of three in Kazakhstan, located in  the central provinces of the country (see map).
description: The 24 die-off sites include only those at which mortality was certain or likely to have been caused by haemorrhagic septicaemia. These locations were recorded from fieldwork in 2015 and from the Soviet literature in 1981 and 1988. All the other sites represent normal calving aggregations at which there was no mass mortality event. Here data come from the Soviet literature (up to and including 2008) and field and telemetry data from the Association for the Conservation of Biodiversity of Kazakhstan from 2008 to 2016.

See more detailed information in the attached documentation
DOI: 10.5285/a65f6241-bfc3-430a-ae93-ccb7c63c1a53
title: Net ecosystem carbon dioxide (CO2) exchange and meteorological observations from an eroding high altitude blanket bog, Scotland, 2018-2020

description: This record contains time series observations of land surface-atmosphere exchanges of net ecosystem carbon dioxide exchange (NEE), sensible heat (H) and latent heat (LE), and meteorological observations measured at an eroded upland blanket bog peatland (UK-BAL) in the Eastern Cairngorms in Scotland, UK (56.93° N, -3.16° E, 642 m asl). 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. Time period covered in this dataset is 04/07/2018 until 04/11/2020.
description: Sensible and latent heat fluxes (LE and H, respectively) and NEE were monitored using an enclosed path EC system. 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: 10.5285/3d3b1d09-9e7a-4144-b8a1-b09a3c573466
title:  Plot-level forest structure, carbon density and tree species richness data from restoration sites in South and Southeast Asia

description: This dataset consists of structure, biomass (carbon density) and biodiversity (plant species richness) from forest inventory plots at forest restoration sites in South and Southeast Asia and the code for the analyses of these data as conducted in Banin, Raine et al (2023). The recorded data consists of plot level censuses carried out up to May 2021 collated from published studies, grey literature and data provided by co-authors. This represents the collation of data from 11 sites in areas where disturbance had led to the clearance or degradation of natural forest. Plots where tree seedlings were planted (active restoration) and plots where no seedling planting took place (natural regeneration) were censused for structure, biomass and/or biodiversity. Some of the sites in the dataset also recorded data at old growth forest plots for reference, and/or provided repeat measures of forest metrics over time. The dataset also includes the code used for analysis of this plot level data, used to compare the outcome of different restoration approaches.
description: Data were compiled from i) publications which contained the necessary information or ii) primary data supplied by dataset and paper co-authors. The search and screening process is described in full in the documentation. The data have been standardised so they could be presented in common units across the dataset and in some cases, categorised based either on numbers or on text descriptions within the publications. For comparisons, plot-level data were matched according to certain criteria (e.g. disturbance history, time, location). Calculations we made to draw comparisons (log response ratios, as described in full in the documentation).
All data were checked at least once by co-lead author and spot-checked by another co-lead author.
DOI: 10.5285/4aed4496-f9e2-494d-a0f9-adc297f033a4
title: Köppen-Geiger climate classification prediction maps for the UK at 1 km resolution, 1901–2080

description: The data deposited here underlie an assessment of the exposure of UK habitats to climate change, and a linked assessment of how well current UK plant monitoring schemes cover these exposure gradients (see Wilson & Pescott, 2023 in press). The current dataset consists of spatially explicit (1 km gridded) classifications of predicted Köppen-Geiger climate types (Peel et al., 2007), based on both past (observed) and future (modelled) climate data.
description: For each historic period (i.e. up to 2019), HadUK-Grid data on monthly precipitation and maximum, minimum and mean temperatures were downloaded at 1 x 1 km resolution; averages for the 1961–1990 period were available, since this is a widely used climate “normal” period; for the other periods annual data were averaged together to create long-term mean datasets. (HadUK-Grid is a gridded data product interpolated from observational weather station records.) UKCP18 Local data for the coming decades (2021–2040) and later 21st century (2061–2080) were downloaded at 5 x 5 km resolution and resampled to 1  km resolution using bilinear interpolation to match the HadUK-Grid data. The UKCP18 local data refers to the local-scale climate projections offered by the UK Climate Projections 2018 (UKCP18) project. The UKCP18 Local (2.2 km) dataset used here consists of 12 simulations of a convection-permitting model; the 12-member ensemble mean was used in this study, since it was found to come consistently closer to observed climate patterns over that of any individual model run.
These data were used to classify UK and the Isle of Man 1 km grid squares in different time periods according to standard Köppen-Geiger climate type definitions.
DOI: 10.5285/76a2bd9a-fb02-4f37-91b9-4835eb31ab7b
title: Environmental and chemical determinands associated with phosphorus in Loch Leven bed sediments (2004-2005)

description: This is a dataset obtained from analysis of lake sediment and overlying water from six sites along a depth gradient, in Loch Leven, Scotland, over a period of one year. Parameters measured from the water and included in the dataset are dissolved oxygen concentration, conductivity, pH, temperature, concentrations of three forms of phosphorus, and ammonium and silica concentrations. Chlorophyll a concentration measured from the sediment surface is included, and within the sediment concentrations of seven different forms of phosphorus are provided. 
description: Sampling and analyses were performed using documented methods, as described in the contextual metadata accompanying this dataset. Please contact the author if further details are required.
DOI: 10.5285/fa3f4087-528e-4c5d-90d8-6bb4675d6317
title: Physical and geochemical properties of saltmarsh soils from wide diameter gouge cores in Essex, UK, collected in 2019

description: Physical and geochemical measurements of saltmarsh soils produced from 19 wide diameter gouge cores (60 mm in diameter) collected from eight sites encompassing saltmarshes with different origins (natural, historic breach, managed realignment) in 2019.

The work was carried out under the NERC programme - Carbon Storage in Intertidal Environment (C-SIDE), NERC grant reference NE/R010846/1
description: Across Essex saltmarshes 19 wide diameter (60mm) soil cores were collected. The location of each coring site was recorded using Differential Global Positioning System (DGPS). Prior to analysis the samples were stored at 4 degrees Celsius at the University of St Andrews. Upon return to the laboratory the cores were described following the Troels-Smith scheme. The cores were sub-sampled at 1cm intervals  and bulk density and organic carbon analysis was undertaken using standard analytical procedures (detailed in the supporting documentation). All laboratory equipment were calibrated in accordance with the laboratory practises at the University of St Andrews. 

Results were recorded on to lab sheets and transferred into an Excel file. Results were exported as comma separated value (.csv) files for ingestion into the EIDC.
DOI: 10.5285/40d28d0b-f93d-4c6c-90ef-97a26a510f81
title: Occupancy of breeding sites in the non-breeding season, site quality and breeding success data for a population of common guillemots (Uria aalge) on the Isle of May, Scotland, 2017-2020

description: This dataset contains information on the occupancy of breeding sites in the non-breeding season, breeding timing and success, and breeding site quality for a sample of common guillemots breeding on the Isle of May, Scotland. Data is available for all attributes for the non-breeding season of 2017/18, 2018/19 and 2019/20. These data are part of the Isle of May long-term study to assess population trends of seabirds under environmental change (IMLOTS).
description: All data derives from time-lapse photography and in-person field observations of common guillemots on the Isle of May by experienced observers from the UK Centre for Ecology & Hydrology. Time-lapse photography data was used to derive non-breeding site occupancy metrics in two study sub-colonies. Breeding success and site quality data were derived from in-person observations at these same sub-colonies. All data were proofed before entering the full dataset and processed as per the accompanying metadata and supporting information.
DOI: 10.5285/97528815-bd0b-484d-8e68-a1184828631d
title: Monitoring data from small mammal trapping in forest habitats in Europe (Czechia, Germany, Italy, Poland), 2019-2023

description: This dataset contains information on the trap-setting operations and the number and species of animals captured during systematic sampling surveys in natural habitats of Czechia, Germany, Italy and Poland in 2019-2023.  The trapping data include dates of setting, checking and removal at multiple locations. Trapping at each location typically involved 3-5 nights per trap line, but this could vary. The trap lines typically comprised 12 pairs of traps each set 10 metres apart along a transect line, with geographical coordinates for the centre of a pair of traps along the trap line. Animals were primarily captured for tissue collection for genetic analysis (not included in this dataset) to investigate the effectiveness of habitat corridors for promoting movement.
description: Animals were captured during standardized trapping surveys with Sherman traps, Ugglan traps and Tomahawk traps in systematic arrays. Trapping targeted small-medium sized rodents and carnivores. Traps were generally set to catch for 3-5 consecutive trap nights, but this varied. Captured animals were identified to species, marked individually, biometrics were recorded, and tissue samples were collected (generally from the ear, swabbing and also faecal sampling). The animals were then released. Trap and capture data are linked via a primary key field.
At each trap check, data from captured animals were recorded in the field on data sheets, and then later computerized by entering into spreadsheets. Data were checked against original field records for quality assurance and validation.
DOI: 10.5285/33fe87f9-d45a-41ba-acca-ee8585ea6b7d
title: National Plant Monitoring Scheme, 2015 dataset

description: This dataset contains data from the National Plant Monitoring Scheme in 2015. These consist of plant species occurrences, with abundance values, in plots. Plots are nested with 1 km squares, and are georeferenced according to the British/Irish/Channel Islands grid systems, or in latitude/longitude format; the 1 km squares surveyed were selected according to a weighted-random design, designed to enrich the sample for semi-natural habitats. Plots also have associated habitat and spatial information, as well as a small number of other environmental data. The species recorded in any particular plot are dependent on the habitat chosen for the plot by the surveyor, and the level of the scheme at which they were participating. Please see the references in the supporting documentation (survey guidance) for more information.

Please be aware that this dataset is updated annually and that more recent versions exist.
description: The data were initially entered through a custom-built Drupal-website, using the open-source Indicia (www.indicia.org.uk) database standard. Data were extracted from this database into the flat tables presented here.
DOI: 10.5285/3fa5921b-244a-4944-ab90-e690dbc05a7e
title: Globally available land for soil-based greenhouse gas removal practices for 2000-2014

description: Global spatial data on yields of wheat, sugarcane and maize at 0.25 and 0.5 degrees resolution for 2000-2014. Annual data on wheat, sugarcane and maize yield have been extracted from agricultural statistics, which are recorded annually at regional and national scale depending on the country. The yield data were spatially disaggregated to produce gridded maps (0.25 and 0.5 degrees spatial resolution) of yields per crop type. The earthstat dataset, which provides gridded data on crop distribution (i.e. a crop mask for 2000q), was used to obtain information on the spatial distribution of wheat, sugarcane and maize across the world. The spatial disaggregation process was repeated for every year between 2000 and 2014. The data were produced to constrain agro-ecosystem carbon cycling estimates used in large-scale atmospheric CO2 inversion studies and to be used as inputs in agro-ecosystem biogeochemistry models. The data are provided in netcdf4 (.nc) format.
description: The data were produced by spatially disaggregating annual agricultural statistics-based estimates of harvest yields for wheat, maize and sugarcane. Annual yield data for wheat, maize and sugarcane were collected from national and international institutions (e.g. Eurostat, USDA, and FAO). This information was (1) combined with gridded data on wheat, sugarcane and maize distribution obtained from the earthstat dataset in order to (2) to produce gridded yield information across the world. Where subnational scale yield data were available (i.e. country, state, region-specific value provided by e.g. Eurostat and USDA) they were used. Where subnational yield data were not available the national average was used. Where no data were available no crop yield estimates have been added to the final gridded dataset.
DOI: 10.5285/463b2bcc-731a-42af-ba69-1662aa21f1bf
title: Flood impact matrices to assess flood resilience in Katakwi communities, Uganda, 2020

description: This data were created as part of the NIMFRU project and consists of 21 flood matrices. These have been completed by community members from the project target communities of Anyangabella, Agule and Kaikamosing which are all found in the Katakwi district. Five of the matrices were completed by local district officers. The data were collected in December 2020. These data were collected to understand how communities resilience had changed as a result of the NIMFRU project.
description: This data was collected as part of an evaluation data set. The Flood Matrices were completed by 21 community members of the Katakwi District. The following selection criteria was used:  
- 8 farmers who have participated with in the listening groups, FAMVACs or IHM/HEA baseline assessment (4 males, 4 females)
- 8 farmer who have not participated in the above activities (4 males, 4 females).
- 5 Local District officers who have participated in the NIMFRU project activities and will be an equal number of male and female respondents.

The data is in survey format (CSV) which has been designed especially for this data collection.