cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5285/9f914e5b-958d-49a8-a5bf-86c35d865257
title: Forest structure, composition and bird counts in windblown and control sites in Kielder Forest, Northumberland, UK, May-July 2022

description: Data containing information on a study of the impact of Storm Arwen on biodiversity and forest structure of Kielder Forest (Northumberland), May-July 2022. The following are included:
 (i) fallen timber found along 100 m transects (species, tree circumference, and whether it was flat on the ground);
 (ii) trees found inside 10x10-m plots (species; diameter at breast height [DAP]; status [alive vs dead]; and whether the tree was still standing);
 (iii) plant cover and richness in 2x2 m quadrats (Braun-Blanquet cover and plant species present);
 (iv) spatial data (GIS layers and buffers around survey and sampling sites); and
 (v) bird point counts (species detected and distances to each individual recorded)

Surveys were conducted at twelve control-impact pairs (24 sites in total), whereby impact sites were those severely affected by Storm Arwen. Within each site, we carried out one 100 m transect, three 10x10 m plots, three 2x2 m quadrats, and two to four bird point counts depending on the size of the site
description: We investigated the impact of storm Arwen (November-2021) on the forest structure and biodiversity of Kielder (Northumberland, UK) via 100-m transects, 10x10 m plots, 2x2 m quadrats, and bird point counts at twelve paired windblown and control sites (24 sites in total). All our survey site locations were obtained from a handheld GPS device.

We counted and measured all fallen trees found along a 100 m transect within each site. We measured the perimeter of each fallen tree three times to allow for volume estimation. Along each transect, we deployed three 10x10-m plots where we counted and measured the diameter at breast height of trees. These plots were placed at 0-10, 50-60, and 90-100 metres along the transect. We visually estimated the cover of grasses, ferns, mosses, fungi, and lichens using the Braun-Blanquet scale inside 2x2 m quadrats at 0-2, 50-52, and 90-92 along our 100 m transects. We also inventoried plant species found within these 2x2 m quadrats. Plants, including trees, were identified using field guides and keys and supported occasionally with photographic-aided identification using the iNaturalist application (https://www.inaturalist.org/observations).

For estimating bird richness and abundance, we conducted 2-4 bird point counts within each site between 6 and 10:30 am. During each count, an observer stayed in one spot for 5 minutes and recorded all birds they saw or heard, assigning them to one of five distance categories (0-10 metres; 10-20 metres; 20-30 metres; 30-40 metres; and 40-50 metres). All birds beyond 50 metres were not counted. This was done by either estimating the distance or using a Bushnell Golf Rangefinder. Only those detections that could be identified at the species level were included. All bird point counts were repeated twice to ensure the detection of all species using the survey sites.
DOI: 10.5285/dcfc2081-f42c-4238-93dd-2ce64438b3ea
title: Automated high resolution soil respiration campaign data from Climoor fieldsite in Clocaenog Forest (2013 - 2014)

description: This dataset provides data on automated high resolution soil respiration measurements as micromoles of Carbon dioxide per square metre per second. Automated high resolution soil measurements were carried out in campaigns in 2013 and 2014. Campaigns were carried out monthly between June and October 2013 and in June and August 2014 capturing the plants growing season. Data were collected from the climate change field site, Climoor, that is located in the Clocaenog forest, North East Wales. The experimental field site consists of three untreated control plots three plots where the plant canopy air is artificially warmed during night time hours and three plots where rainfall is excluded from the plots at least during the plants growing season (March to September). Measurements were taken with automated soil respiration chambers. The Climoor field experiment intends to answer questions regarding the effects of warming and drought on ecosystem processes. Plot level soil respiration measurements are important to investigate soil carbon dynamics and changes in soil carbon cycling and storage under the imposed climatic treatments. Soil respiration measurements were carried out by trained CEH Bangor members of staff.
description: Automated soil respiration measurements were carried out as daily-weekly campaigns 2013 and 2014. Therefore, one soil collar (20.3 cenimetre (cm) diameter) was installed (6-8 cm deep) per plot on top of one out of three permanent soil respiration collars in June 2013. Areas were chosen where vegetation (mostly calluna vulgaris) could be tied back and removal of vegetation could be avoided. Following installation, the vegetation surrounding the collars was not visually affected suggesting limited or no disturbance to the plants, however, the soil became visibly drier with time. Collars remained in the soil and re-grown vegetation was removed regularly throughout the years.

Automated soil respiration chambers (8100-104, LI-COR, Bad Homburg, Germany) were coupled via a multiplexer (LI-8150, LI-COR) to an infrared Carbon Dioxide (CO2) analyser (LI-8100A, LI-COR) in each plot (n = 9). Automated measurements (120 sec) were taken every hour for at least 24 hours. 

The HMR-package for R was used to calculated soil respiration rates from CO2 concentrations measured by the infrared gas analyser. For each point, the CO2 concentration was plotted against time, taking the chamber area and volume into account. An acclimation phase of 25 seconds was applied where respiration rates are likely to be disturbed by the closure of the chambers. Soil respiration was estimated by linear regression because it provided a better fit over suggested non-linear regressions. Fits of linear regressions were checked visually. The slope of the regression equals the soil CO2 efflux per square metre and unit time. Values are reported in micromoles of Carbon dioxide per square metre per second . Data were exported to Excel as .csv files for ingestion into the EIDC.
DOI: 10.5517/ccdc.csd.cc2pzq5l
title: CCDC 2502170: Experimental Crystal Structure Determination

description: Related Article: Bernard T. Golding, Paul G. Waddell, Bian Zhang|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5285/062d1571-f1cd-4739-89ed-e716f8b0eb79
title: Movement metrics of singing and silent Hawaiian field crickets (Teleogryllus oceanicus) in a semi-natural arena

description: This dataset contains movement metrics of field crickets tracked within an arena modelled on a natural environment. Eight crickets were tracked per trial (13 trials in total), and each trial lasted 3 hours. Of the eight crickets, four were male and four were female. After the tracking ended, each female was allowed to lay eggs. The hatchlings were later counted, and this information is also included in the dataset. 
description: An array of cameras affixed to the ceiling took photographs on a two-second timer. Images were transferred, and each image was automatically processed to detect the presence of a cricket tag. Tags were assigned an ID and location. At each timestamp, detections were pooled and the coordinates were determined globally – for the position of each camera in the array. Movement metrics were then calculated (such as distance travelled, and time spent stationary), for each cricket track. These data were then saved and are available in this resource.
DOI: 10.5285/3b22fba5-8429-4fdc-849c-b4c248ea744d
title: Soil dates using 210Pb in profiles from permafrost in subarctic Canada

description: This dataset consists of soils dated using lead-210 (210Pb) in profiles from permafrost in subarctic Canada. Soil cores were sampled during early summer in 2013 and 2014 from peatland plateaus, thawing peatland plateaus, burnt and unburnt black spruce forests in Yukon and Northwest Territories. The upper part of the soil profile was dated using 210Pb to quantify recent carbon accumulation rates.
description: Lead-210 (210Pb) dating was used to date the upper part of the soil profile which was cut at intervals of 1 cm resolution. Samples were freeze dried and ground and the 210Pb activity was determined by alpha spectrometry following chemical extraction. Constant rate of supply models were used to assign ages in years to the soil. This data can be used to quantify recent carbon accumulation rates (refer to dataset of bulk density, carbon and nitrogen content).
DOI: 10.5285/dd90c2fa-e6c6-4fc7-a578-b7e4a622dddf
title: Bat morphological data from England, Spain and Portugal, 2015-2020

description: Morphological and life history data collected from three bat species, Barbastella barbastellus, Plecotus auritus and Myotis escalerai, captured in England, Spain and Portugal to study adaptive responses to climate change. The data includes species identity, location of capture at 10 km resolution, date of capture, sex, age category, reproductive condition, forearm length (in millimetres) and body mass (in grams). 
description: Data were collected when capturing bats to collect tissue samples (wing biopsies), blood samples or faecal samples to study adaptive responses to climate change.
DOI: 10.5517/ccdc.csd.cc2pzwl5
title: CCDC 2502338: Experimental Crystal Structure Determination

description: Related Article: David Jago, Alexandre N. Sobolev, George A. Koutsantonis|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5285/125a899b-8f10-4803-a6cf-a2fb1739746f
title: Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) soil moisture content from three soil depths on salt marsh sites at Morecambe Bay and Essex

description: The dataset comprises the field soil moisture content expressed as a percentage at three depth zones, (0 - 10 centimetre (cm), 10 - 20 cm and 20 - 30 cm), measured from bulk density soil samples taken within each 1 metre x 1 metre quadrat. Sampling was conducted at six salt marsh sites at four spatial scales: 1 metre (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. The Morecambe Bay samples were taken during the winter and summer of 2013. The Essex samples were taken during the winter, early spring and summer of 2013. Samples were taken using a bulk density ring. Soil moisture content was determined by weighing the samples as fresh field mass and then again after being dried out at 105 degrees Celsius for 72 hours. 

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: Field soil moisture was measured from bulk density samples taken at roughly 0-10 centimetre (cm), 10-20 cm and 20-30 cm depth zones with a 3.1 cm height, 7 cm diameter bulk density ring for each quadrat. Samples were weighed (in grams to two decimal places) at fresh field mass then again after 72 hours at 105 degrees Celsius to determine water content. Data were recorded onto field sheets. These data were transferred into an Excel spreadsheet 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 metre (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/d1df0a31-d329-4b21-8aa0-ba135d6a8042
title: Exponential parameters fitted to Delayed Flow Indices curves calculated for GB catchments, 1970-2015

description: This dataset contains exponential parameters from fitting an exponential curve to Delayed Flow Index (DFI or Characteristic Delay) curves using river discharge data from CAMELS-GB (Catchment attributes and hydro-meteorological timeseries for 671 catchments across Great Britain). The DFI curve at each catchment describes the response to rainfall over different time windows. The exponential parameters summarise the shape of the DFI curve at each site. 
description: This dataset is generated using the CAMELS-GB dataset (https://doi.org/10.5285/8344e4f3-d2ea-44f5-8afa-86d2987543a9) with two main steps: calculating the Delayed Flow Index for each catchment, then fitting an exponential curve with three parameters (a, b, c) to these values.

One catchment (39036) did not achieve convergence so has NA values for the a, b, c parameters. 
The a, b, c parameters are saved rounded to three decimal places.
DOI: 10.5517/ccdc.csd.cc2pzwm6
title: CCDC 2502339: Experimental Crystal Structure Determination

description: Related Article: Jeremy Stone, Alexandre N. Sobolev, George A. Koutsantonis|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5285/d029bb43-5722-4932-9c14-be316a2e7144
title: Cumbrian Lakes Monitoring thermal stratification timing 1951-2017

description: The dataset contains the day of year for the onset and end of thermal stratification and its total length in Blelham Tarn, Esthwaite Water, Windermere, north basin and Windermere, south basin between 1951 and 2017.

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: The data were calculated from temperature profiles taken in each lake at the deepest point, using a calibrated temperature-oxygen sensor. Water temperatures were converted to density and the lake was considered stratified when the density gradient between the surface and bottom of the lake was >0.1 kg m-3. The start day of the main summer stratified period was considered to be the latest day before day of year 200 where a stratified period had a duration >14 days, the end day was defined as the final day of stratification for that stratified period and the duration calculated as the difference between these two days. More detail on the method used can be found in the supporting documentation.
DOI: 10.5285/dbd72bb5-4ad5-4d2f-b546-1cea672f76e8
title: Spatial attendance data for immature common guillemots (Uria aalge) at four sites in a large breeding colony

description: This dataset contains data on the spatial attendance patterns of immature common guillemots (Uria aalge) at four sites in a large breeding colony. Data were collected from 25th April-12th May and 21st May-15th June 2013 at four sites on the Isle of May, Scotland. A grid was superimposed onto a photograph of each site. Grid cells were then classified as breeding or pre-breeding areas according to the presence or absence of breeding activity at any point during data collection (i.e. an egg or chick). A total of 69 randomly selected and individually-marked birds were followed using a telescope for 10 minute periods and their location in these grids was recorded every 15 seconds. This work was part of a NERC-funded PhD project looking at interactions between avian colonial social structure and tick-borne pathogen dynamics. 
description: This dataset only presents the number of intervals that individuals spent in pre-breeding and breeding areas. Grid cells with ledges and no apparent evidence of breeding activity but consistent breeding activity completely surrounding them were also assumed to be breeding areas. Individual birds were identified using unique colour rings which were visible at a distance through a telescope with a x20-60 zoom lens. All data was collected by the same observer to ensure consistency.
DOI: 10.5517/ccdc.csd.cc2pzwn7
title: CCDC 2502340: Experimental Crystal Structure Determination

description: Related Article: Jeremy Stone, Alexandre N. Sobolev, George A. Koutsantonis|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5285/32dda22c-24cc-4fa8-adcb-5481b1b77ef1
title: Countryside Survey 1990 estimates of Broad Habitat areas in Great Britain

description: This dataset consists of stock (area) data for 16 Broad Habitats across Great Britain in 1990. The data are national estimates generated by analysing the sample data from 508 1km squares and scaling up to a national level. The data are summarized as habitat area per Land Class (areas of similar environmental characteristics). The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB and using the 'ITE Land Classification' as a method of stratification. The data were collected as part of Countryside Survey, a unique study or 'audit' of the natural resources of the UK's countryside. The Survey has been carried out at regular intervals since 1978. The countryside is sampled and surveyed using rigorous scientific methods, allowing us to compare new results with those from previous surveys. In this way we can detect the gradual and subtle changes that occur in the UK's countryside over time. Surveys have been carried out in 1978, 1984, 1990, 1998 and 2007 with repeated visits to the majority of squares. In addition to habitat areas, vegetation species, soil data, linear feature data and freshwater habitats are also gathered by Countryside Survey.
description: The data were recorded onto paper field sheets in the summer of 1990 by surveyors. Data were recorded from 508 1km squares sited across Britain, selected by random stratified sample. The areas of UK Biodiversity Action Plan (UK BAP) Broad Habitats were digitized in 2000. The digitized data were used to generate national estimates of the stock of Broad Habitats for Great Britain using the standard Countryside Survey methodology (refer to the online documentation). Estimates are presented by ITE Land Class (2007 version).
DOI: 10.5285/e358f49d-511c-4136-824b-9edb245d5ac4
title: Tree canopy cover and height data at 10m resolution for the Elenydd landscape, Wales, 2023

description: This dataset provides information on tree canopy cover percentage and mean canopy height, both at a 10m resolution, for the Elenydd landscape in mid-Wales. The data was derived from LiDAR analysis, which was used to create a vegetation height model for the region. From this model, tree crowns were identified and subsequently processed into two raster datasets: one representing the percentage of tree canopy cover and the other depicting mean canopy height, both specific to the Elenydd landscape. While significant efforts were made to exclude non-vegetative structures, some non-vegetative objects may still be present in the dataset.
description: Data was created using LiDAR data from the Welsh Government, and processed into cover and height files using “forestools” package in R. Firstly, tree crowns and tree top points were created, then any buildings were erased with the OS open buildings data, and then processed into canopy cover percentage and mean height raster files. For quality control, we compared raster outputs to satellite imagery in ArcPro to compare areas of vegetation. While efforts were made to remove buildings, some other non-vegetation structures likely remain (e.g. pylons, caravans, walls etc).
DOI: 10.5285/f200ea72-574d-44da-955c-de0fb024eafe
title: Litterfall data from Climoor fieldsite in Clocaenog Forest 1999 - 2011

description: This dataset includes litterfall data from the experimental plots at the Climoor field site in the Clocaenog forest, NE Wales. Litterfall (natural senesced plant material) was collected in litterfall traps (12 x 7.5cm pots standing slightly proud of the soil/litter surface, emptied monthly). Litterfall was calculated by drying the contents of the traps and weighing the samples; values were calculated for each quadrat (total weight (g) only) and for each plot (total weight (g) and weight per metre squared (g/m2)). Data spans the periods Oct 1999 to Jan 2004 and July 2008 to June 2011. Data was collected by CEH staff and PhD students trained in the use of the methods. Climoor is a climate change manipulation experiment that utilises automated roof technology to produce drought and warming experimental treatments that reflect climate change predictions for the next 20-30 years.
description:  Litterfall was estimated using litterfall traps. Traps measured 7.5 cm diameter and 12 were placed in each plot in 3 different quadrats (D3, E4 and E7). Traps were emptied on a monthly basis from 1999 to 2002. After 2002, litter was not emptied on a monthly basis, and occasionally was left out in the trap for a few months (this was for the same duration for all plots, ie there was always consistency across the treatments). Once collected in, the litterfall was first air dried before removal from the trap. Litter was pooled for each of quadrats (for example, the litter collected from the four pots in each quadrat was pooled, so you would end up with samples from plot 1 quadrat D3, plot 1 quadrat E4 and plot 1 quadrat E7, and so on) prior to oven drying at 75 oC overnight and weighing. Data processing Data was manually typed into and stored in an MASTER Excel file. Mean litterfall per quadrat was calculated for each plot (ie the mean of the weight of litter collected in D3, E4 and E7). Data was then multiplied by 56.6 to convert data into the units g litter m-2.
DOI: 10.15468/dl.er23yu
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (, , , , , , , , Phoebe calcarea, , , , , Spiradiclis liboensis, , )",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 21 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031264-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.