cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5285/64467180-c8e0-467e-865a-f42495a89019
title: Cockroach aggregation records in the laboratory at 50% and 30% relative humidity

description: Records of aggregation formation of four groups of 24 female cockroaches (Blaptica dubia) using the same shelter. Each file covers a single group for a single day. Each line in the data represents the confident detection of a single individual, hence the name of the aggregation/photograph is repeated over multiple lines if there were multiple individuals in that photograph.

The cockroaches were kept in an incubator at 50%, then 40%, then 30% relative humidity for four days each. After experiencing the three humidities, groups were randomly re-formed and the run repeated. This was then done twice more, giving four replicates in total (16 unique groups).

Cockroaches in the same shelter, and therefore in the same photograph, were assumed to be in the same aggregation and so associating in that instance. These data can be used to understand how patterns of social associations change with humidity.
description: Female cockroaches were obtained from the Evolutionary Ethology Lab stock population, maintained at the University of Aberdeen since 2021. Each female was tagged with two waterproof paper tags using cyanoacrylate glue. We then placed females in groups of 24 and recorded their social associations.

Data collection took place from 12/06/23 to 22/09/23. Analysis of images to extract aggregations took place from 30/09/23 to 01/12/23.  Quality checking against original laboratory notebooks and reformatting took place from 04/01/24 to 22/02/24.
DOI: 10.15468/dl.yy7mdb
title: Occurrence Download

description: A dataset containing 23338 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Boletus edulis",
 "Year 2020-2025"
 ]
}

 The dataset includes 23338 records from 87 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031263-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5285/7833bdf5-3e85-44d3-8e7d-c9bf0632e38b
title: Soil biological activity in the Chornobyl Exclusion Zone, Ukraine in September 2016, March 2017 and September 2017 following a severe wildfire in July 2016

description: Data comprise site location, soil chemistry information (pH, soil moisture, Loss on Ignition (LOI)), an estimate of ground burn extent and soil biological activity (derived from application of bait lamina sticks) at 23 sites in the Chornobyl Exclusion Zone (CEZ), Ukraine in September 2016, March 2017 and September 2017; there were three replicate plots at each site.  The estimated ambient dose rate at each plot is also provided. The primary purpose of these data was to enable an evaluation of the potential impact of wildfire on soil organisms. The work was carried out by UKCEH, Chornobyl Centre for Nuclear Safety and the University of Salford. Funding for this work was via the NERC REDFIRE project (NE/P015212/).
description: Bait lamina sticks were inserted into the soil at each of the replicate plots and left in place for 18 days in September 2016,  41-44 days in March 2017 and  55-58 days in September 2017. Following removal the sticks were gently wiped clean and assessed for evidence of soil invertebrate feeding; the observations were recorded into MSExcel files by two members of UKCEH staff (reader 1 and reader 2).  Soil was sampled at each plot on multiple occasions and the pH was determined in September 2016 and September 2017,  soil dry matter (DM) was determined in September 2016, March 2017 and September 2017 and soil Loss on Ignition (LOI) was determined in September 2016 and September 2017; all soil chemistry data were directly input to MSExcel files. The estimated ambient dose rate (µSv per hour) at each plot was measured in September 2016 and March 2017 and the site and plot field notes were recorded in  September 2016. All field data were and transposed to MSExcel files by Chornobyl Center staff and supplied to UKCEH. All data were supplied to EIDC as csv files.
DOI: 10.5285/b1647138-49f5-4777-a39d-e7359bf7b98d
title: Economic and social science questionnaire dataset, Mambwe District, Zambia (2013)

description: This dataset contains the results of 211 household surveys conducted in Mambwe District, Zambia, as part of a wider study looking at human and animal trypanosomiasis and changing settlement patterns in the area. The interviews were conducted from June 2013 to August 2013. The objective of the survey was to set the health of people and their animals in the context of overall household wellbeing, assets and access to resources. The topics covered included household demographics, human and animal health, access to and use of medical and veterinary services, livestock and dog demographics, livestock production, human and animal contacts with wildlife, crop and especially cotton production, migration, access to water and fuel use, household assets and poverty, resilience and values. The dataset has been anonymised by removing names of respondents, Global Positioning Satellite (GPS) location of their homes and names of interviewers. Household numbers were retained.  Written consent was obtained prior to commencing all interviews.

This research was part of a wider research project, the Dynamic Drivers of Disease in Africa Consortium (DDDAC), and these data contributed to the research carried out by the consortium. The research was funded by NERC with support from the Ecosystem Services for Poverty Alleviation Programme (ESPA). 
description: Semi-structured interviews were conducted in 211 households of Mambwe District of Eastern Zambia alongside blood sampling for disease in people and animals. The work was preceded by a census, which provided the sample frame from which the study households were randomly selected, so as to provide the minimum sample size of animal-owning households necessary for estimating trypanosomiasis prevalence, plus 5 percent extra households with no animals except for poultry. Written consent was obtained prior to commencing all interviews and blood sampling. The full questionnaire was uploaded/collected onto tablets, using droidSURVEY software, allowing multiple choice, grid and open questions or question options. Data collection was performed offline, but daily updates were uploaded using the internet. The data were then stored securely on the server before being downloaded into Microsoft Excel® format and anonymised. Data were collated in a Microsoft Excel spreadsheet and exported as a comma separated file for ingestion into the Environmental Information Data Centre (EIDC).
DOI: 10.5285/e68063b9-2e52-44df-8b6f-a3deb37b76cb
title: Data from automatic water monitoring buoy from Windermere south basin, 2012 to 2015

description: This dataset consists of hourly lake temperature, air temperature, solar irradiance and wind speed data from an automatic water monitoring buoy on Windermere South Basin, a lake in the North West of England. The lake temperatures are measured in various depths of the lake (see supporting documentation). Measurements were taken every 4 minutes and calculated as hourly averages.  The data were collected by the Centre for Ecology & Hydrology between 2012 and 2015 inclusive.  This dataset has been used in various publications, please see supporting documentation for more detail. 
description: Data from the automatic water quality buoy on Windermere South Basin are collated and processed by the Centre for Ecology & Hydrology at Lancaster.  Data are available for download from 2012 onwards.  See supporting documentation for further information.  Data has been checked visually and any obvious errors introduced by hardware malfunctioning have been removed.
DOI: 10.5285/0be0aed3-f205-4f1f-a65d-84f8cfd8d50f
title: UK Environmental Change Network (ECN) rabbit and deer data: 1993-2015

description: Rabbit and deer data from the UK Environmental Change Network (ECN) terrestrial sites. These data are collected by transect at ECN's terrestrial sites using a standard protocol. The protocol uses an index method based on dropping counts (of deer, rabbits - and where appropriate sheep and Grouse) to estimate relative abundance. They represent twice-yearly continuous records from 1993 to 2015. ECN is the UK's long-term environmental monitoring programme. It is a multi-agency programme sponsored by a consortium of fourteen government departments and agencies. These organisations contribute to the programme through funding either site monitoring and/or network co-ordination activities. These organisations are: Agri-Food and Biosciences Institute, Biotechnology and Biological Sciences Research Council, Cyfoeth Naturiol Cymru - Natural Resources Wales, Defence Science & Technology Laboratory, Department for Environment, Food and Rural Affairs, Environment Agency, Forestry Commission, Llywodraeth Cymru - Welsh Government, Natural England, Natural Environment Research Council, Northern Ireland Environment Agency, Scottish Environment Protection Agency, Scottish Government and Scottish Natural Heritage.
description: Data are collected by transect at all of ECN's terrestrial sites using a standard protocol. The protocol uses an index method based on dropping counts to estimate relative abundance. Prior to deposit of the data in the EIDC, data are managed by the ECN Data Centre at CEH Lancaster according to defined protocols. 

Verification steps include numeric range checks (i.e. checking if a value falls within a specified range), categorical checks (e.g. checking that a species code appears on the standard code list), formatting (i.e. that the dataset conforms to the specified data format) and logical integrity checks (i.e. checking the data make sense, e.g. that the dates in one dataset match those in a related dataset).

Appropriate range settings for ECN variables have been selected following discussion with specialists in each field. Where data fall outside these ranges, a cautious approach has been adopted towards discarding data on the principle that apparent errors may be valid outliers. Such values are discarded only if there is a clear explanation (e.g. an instrumentation error) and corrections are made where possible. If the reason is unclear, the values are stored, but are qualified using pre-defined quality codes or free-text descriptions. Data providers also use these codes or free text to describe factors affecting sampling outside their control, instrument damage or site management effects.
DOI: 10.5285/cd0e9bc1-bd57-44ae-9fec-2f6239e8726d
title: Kākāpō (Strigops habroptilus) egg fertility on Anchor and Whenua Hou islands, New Zealand, 2019 breeding season

description: This dataset contains information on the fertility and physical characteristics of kākāpō (Strigops habroptilus) eggs laid on Anchor and Whenua Hou islands, New Zealand during the 2018/19 breeding season. Of the 252 total eggs laid, 129 failed to develop; undeveloped eggs were dissected, fixed in formalin, and then inspected using fluorescence microscopy at the University of Sheffield UK. For all eggs, data are provided on mother and clutch of origin, developmental stage reached, and maternal mating behaviour. For dissected undeveloped eggs, additional data include fertilisation status, numbers of sperm visible on the perivitelline layer, egg size and weight, dry eggshell weight, and yolk and albumen weights.
description: All data were collected by the authors or by other staff within the New Zealand Department of Conservation Kākāpō Recovery Team. All data collection was carried out by trained and experienced staff following established conservation management or laboratory protocols. 

All data were collected in field or lab notebooks in the first instance, then transcribed to digital spreadsheets. Measurements reported in data files were checked against original notebooks before data deposition. Original notebooks are held at the University of Sheffield, UK, and with the Kākāpō Recovery Team, NZ; the latter also maintains a comprehensive kākāpō database. 

See documentation file for further methodological details and data collection roles.
DOI: 10.5285/a514a386-18d7-4925-a3d4-fb5a2922e135
title: Survival rates and transfer potential measurements of Salmonella Typhimurium and Vibrio cholerae colonising plastic mulch onto basil and spinach salad leaves

description: This dataset contains experimental survival rate and transfer potential measurements of two known human pathogens, bacteria Salmonella Typhimurium and Vibrio cholerae, on plastic mulch and ready-to-eat crop plants. Colony forming units (CFUs) were used to measure persistence time of each pathogen on the mulch, and quantify the transfer of each pathogen from the plastic mulch to the surface of spinach and basil leaves. Samples were measured on days 1, 2, 3, 4, 7, 10 and 14, over a total period of 14 days. Destructive sampling methods were used to collect samples from the plastic and leaf surface, with negative control leaves also sampled at each time point. 

This dataset was created as part of a study investigating the risk of pathogen growth in agricultural environments using plastic mulch, and is supported by the National Environmental Research Council (NE/V005847/1).
description: Persistence experiments, examining the survival of S. Typhimurium and V. cholerae were set up by placing spinach and basil leaves in petri dishes and adding plastic mulch with a biofilm containing each pathogen to the leaf surface. Over time samples were destructively sampled by removing the plastic, washing the leaf surface and cutting a circle from the leaf. These three sections (plastic, wash and cut leaf) were then resuspended and plated on to selevctive media. Any surviving bacteria were quantified using CFUs. Negative control leaves with no plastics or bacteria were analysed at each time point.
DOI: 10.5285/b5455ff8-81c3-4c9f-b2d2-6ff1a0db9951
title: Tree-gallwasp-parasitoid trophic interaction data for Emeishan and Mianning, Sichuan, China, 2017-2022

description: This dataset contains information about the pairwise food web relationships between three trophic groups in montane deciduous forest in Western Sichuan, China: (i) Chinese tree species in the family Fagaceae; (ii) herbivorous Cynipid gallwasps (Hymenoptera: Cynipidae: Cynipini) collected from the tree species; & (iii) parasitoid wasps reared from the Cynipid galls. The records are for samples collected between November 2017 and June 2022 from two sites (Emeishan and Mianning) in Sichuan Province. The dataset contains 9 tables: Three are tables of relationships between galls and trees, at each of Emeishan and Mianning, and for both sites combined. Three are tables of relationships between parasitoids and trees, at Emeishan, Mianning, and for both sites combined. And three are tables of relationships between galls and parasitoids, at Emeishan, Mianning, and for both sites combined. The data were collected during individual tree-level surveys funded by a NERC Discovery grant (NE/T000120/1): ‘TRICOMM: Structure, assembly and evolution of natural tritrophic communities’. 
description: The data comprise raw counts of cynipid (gall wasp) galls on Fagaceae tree species, and raw counts of chalcid parasitoid wasps emerging from these galls. In trees_by_galltype datasets, gall counts are divided between distinct gall morphotypes associated with each Fagaceae tree species present each of two sites (Emei, Mianning) or both sites combined (All Areas). In trees_by_parasitoid_morphotype datasets, distinct parasitoid specimen counts are divided between parasitoid morphospecies associated with each Fagaceae tree species present each of two sites (Emei, Mianning) or both sites combined (All Areas). In galltypes_by_parasitoid_morphotype datasets, distinct parasitoid specimen counts are divided between distinct gall morphotypes.
Galls were collected during repeated field surveys between November 2017 and June 2022 from two sites 132 km apart in Western Sichuan: Emeishan (29.35681 N, 103.2268 E) and Mianning (28.6094 N, 102.181111). Gall and parasitoid morphotypes were identified using image-based keys published as part of Fang, Z., et al. (2024).
DOI: 10.5285/ccfded8f-c8dc-4a24-8338-5af94dbfcc16
title: Historic reconstructions of monthly groundwater levels for 54 UK boreholes (1891-2015) 

description: This dataset is a model output created using the BGS AquiMod model. It provides monthly groundwater level relative to the Ordnance Datum (maOD) from 1891 to 2015, reconstructed for 54 observation boreholes across the UK. Based on the Generalised Likelihood Uncertainty Estimation (GLUE) methodology, 90th percentile and 10th percentile confidence bounds have been estimated and are given for each of reconstructed groundwater level time series. 
description: Groundwater levels have been reconstructed using BGS AquiMod model. Monte Carlo (MC) simulations were undertaken to calibrate the models. These MC parameters were randomly sampled within a finite parameter range to produce one million parameter sets. The upper and lower bounds of the range for each of parameter were defined based on published data on aquifer properties or expert judgment. The quantification of uncertainty is based on the Generalised Likelihood Uncertainty Estimation (GLUE). Parameter sets are considered to be behavioural if their Nash Sutcliffe Efficiency score exceeds 0.5. The 10th and 90th percentiles of the reconstructed GWL values on each date are the values which are exceeded by 90 and 10 % of the reconstructions using the behavioural parameter vectors, respectively. 

Source data for the AquiMod models consisted of the following: groundwater level (GWL) data, precipitation, and temperature data.  The monthly groundwater level data are been taken from the National Groundwater Level Archive, NGLA (http://www.bgs.ac.uk/research/groundwater/datainfo/levels/ngla.html). Groundwater level records in the NGLA are irregular and typically at a frequency of a month or less. Consequently, raw groundwater level data was linearly interpolated to a monthly time step prior to use in AquiMod. Precipitation and temperature data were taken from an updated / extended version of UKCP09 produced by the Historic Droughts project.  Potential evapotranspiration is estimated from the temperature data (Tanguy et al., 2017 https://doi.org/10.5285/17b9c4f7-1c30-4b6f-b2fe-f7780159939c).
DOI: 10.5285/e0114a4f-32c2-41d9-9c2a-c46f365d4c30
title: Gridded emissions of ammonia (NH3) from agricultural sources in South Asia at 0.1 degrees resolution, 2015

description: This data contains the emissions of ammonia (NH3) from agricultural sources in the South Asia region, for the year 2015. Agriculture is represented by five sub-sectors: crop residue burning (CRB), crop residues left in fields (CRR), livestock management (MNM), livestock grazing and manure applications (GRM), application of synthetic fertilisers (SFA). Data are bottom-up calculations using activity data and emission factors, using methods outlined in the EDGARv6.1 methodology, the IPCC 2006 Guidelines, the IPCC 2019 Guidelines Refinement and in the EMEP/EEA air pollutant emission inventory guidebooks 2019 and 2023.
description: The data are bottom-up estimates of agricultural NH3 emissions generated via the South Asian Nitrogen Hub project (SANH). 
Data are annual totals of grams per m2, gridded on a resolution of 0.1 x 0.1 degrees. Countries represented are Afghanistan, Bangladesh, Bhutan, India, Maldives, Nepal, Pakistan and Sri Lanka.
QAQC includes extreme value checking, NA checking, comparison to existing data and spatial distribution checking. 
See supporting documentation for fuller description of methods.
DOI: 10.5285/06b219a8-b3ff-4db7-870a-4b1038ff53e2
title: Global data for soil water, groundwater and riverine freshwater dissolved organic radiocarbon

description: This dataset includes dissolved organic radiocarbon content and dissolved organic carbon concentration data for river waters around the globe. The riverine dataset contains already published (n=1163) and new (n=101) data between the years 1962 and 2015. Soil solution data (n=139) from North American and European natural and semi-natural ecosystems are also included, which cover the period 1988 to 2008. Groundwater data containing 49 data points from boreholes in Europe and North America are also provided. Extra data including sampling dates, locations, stable isotope (13C), water quality and qualitative descriptions of the catchments are included in the dataset.  
description: We compiled literature data for DOC concentration, [DOC], and DO14C in soil solutions, which covered the period 1989-2015 and in groundwaters, covering the period 1988-2008. We based our compilation of data for rivers on that of Marwick et al. (2015), which covered the period 1991-2012; we added additional literature data, referring to sampling dates both before and after the Marwick et al. (2015) collection, to obtain results covering the period 1962-2015. Where necessary, we used digitisation software (ENGAUGE http://markummitchell.github.io/engauge-digitizer/) to extract data from graphed results. We also compiled river discharge data where available, for single sites with multiple observations.
DOI: 10.5285/c8c0b0d1-75d7-4127-92b2-5e87bb5a958d
title: Water Chemistry Data from the Wolf and Tamar catchment in South West England

description: This dataset contains chemical determinants of river water samples collected from the Wolf and Tamar catchments in South West England in December 2013. It is a part of the Centre for Ecology & Hydrology South West (SW) Project.
description: The suite of chemical determinants in river water samples were collected from the Wolf/Tamar catchment in December 2013. The sampling sites were determined from maps and in field to provide good spatial coverage of the Wold River through to the Tamar River. A 5 litre bucket was filled with stream water. An Ultrameter multiprobe was used to measure water temperature, conductivity, Ph and organic reactive phosphorous (ORP) in the field. A 300 ml sample of water from the bucket was taken in a plastic bottle, constituting the 'unfiltered' sample. A second 300ml bottle was filled with water filtered through a syringe and filter (GFC 0.45­μm),constituting the 'filtered' sample. Samples were kept in the cold and removed to the laboratory for analyses. The standard chemistry methods were used for analyzing NH4, TDP and other chemical determinants.
DOI: 10.5285/5d0f211e-d391-4861-8f12-e04a65108ae7
title: Hydraulic properties of peat extracted from Rensjön palsa mire, Sweden, July 2022

description: This dataset contains laboratory measurements of peat depth, horizontal saturated hydraulic conductivity, dry bulk density, and the degree of peat humification (von Post scale) for degrading palsas at Rensjön palsa mire, Norrbotten, Sweden. 
description: Peat cores were extracted from 20 locations on desiccating and collapsed palsas at Rensjön palsa mire, Sweden, in July 2022. Horizontal saturated hydraulic conductivity was measured in 82 subsamples in the laboratory at the University of Leeds using a permeameter method. Measurements of dry bulk density and the degree of peat humification (von Post score) were made in immediately adjacent peat core offcuts, using standard techniques.