cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.kvwcnb
title: Occurrence Download

description: A dataset containing 110727 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "DatasetKey is EOD – eBird Observation Dataset",
 "Month is one of (September, August, July)",
 "StateProvince is New Brunswick",
 "Year 2023-2023"
 ]
}

 The dataset includes 110727 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031237-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5285/dd6835bf-9c7e-4ad6-95f2-d15f24162fb3
title: Soil carbon data in the Conwy catchment in North Wales 2014

description: The data consist of soil carbon in kilogrammes (kg) of  carbon per metre squared. Soil cores were taken to a depth of 1 metre and divided into 15 cm depth increments. Soil carbon (kg carbon per metre squared) was determined for all soil depth increments. The soil samples were taken in the Conwy catchment in North West Wales. Samples were collected in the spring of 2014 across a land use intensification gradient ranging from semi-natural peatlands, acid grasslands to improved grasslands and arable fields. Soil parameters were tested across a land use intensification gradient to detect parameters that can predict aboveground biomass production across different land management types. Data were used to enhance the predictions of biomass production in the Joint UK Land Environment Simulator model (JULES). Measurements informed the improvement of the nitrogen cycle component in the model.

This dataset is part of a data series where plant and soil measurements were collected together to increase our understanding of coupled aboveground and belowground processes.

Measurements were undertaken by trained members of staff from Bangor University, the Centre for Ecology & Hydrology and Exeter University.

This data was collected for the NERC project 'The Multi-Scale Response of Water quality, Biodiversity and Carbon Sequestration to Coupled Macronutrient Cycling from Source to Sea' (NE/J011991/1). The project is also referred to as Turf2Surf.
description: Intact soil cores were collected in spring 2014 using a Van Walt percussion (Cobra TT) core. Soil cores were taken to a depth of 1 metre and divided into 15 centimetre (cm) depth increments. 

Total carbon (%) was analysed using thermal oxidation measured by an Elementar Vario Cube Select. Soil water content (SWC) and bulk density (BD) were measured using standard techniques. SWC and BD were used to calculate the soil carbon in kg per metre squared. 

All results were entered into Excel spreadsheets. Results from all the analyses were combined into one Excel spreadsheet. Data were then exported from this combined Excel spreadsheet as .csv files for ingestion into the EIDC.
DOI: 10.5285/81893731-75e4-45f3-bd6a-098208cf818c
title: Water chemistry and organic matter composition in UK and Faroe Island surface waters, 2018-2020

description: The dataset shows the results of water chemistry and organic matter composition analysis, from water samples collected from surface waters in the UK and Faroe Islands. The water samples were collected from 2018-2020. 
description: This experiment was devised in 2018 and the water samples were collected during 2018 – 2020. The water samples were analysed for various water chemistry parameters within 3 months of collection.  Samples were stored in the fridge at 4 degrees. Organic matter was extracted by filtration and rotary evaporation within 3 months of collection and analysed for elemental composition within 3 months of extraction. 
Lab analysis QA steps: 10% of all samples are analysed in a replicate. All equipment is calibrated at the beginning of a run and with multiple checks throughout. 
Data analysis QA steps: all replicate data are compared, and if within 95% of each other, an average value is used. If the replicates were different, the samples were re-analysed. 
Once CHNO content had been calculated, restrictions were placed on derived metrics based on physical properties (e.g. bonding).
DOI: 10.5285/bc1a979b-7cc9-4c9d-9fe4-a8510cd62f8e
title: Sanitary risk inspections of shallow wells, boreholes and springs in Kisumu, Kenya in 2014

description: This dataset contains the results of a sanitary risk inspection for different groundwater sources in Kisumu, Kenya. A total of 70 groundwater sources were surveyed between February and March 2014. The survey took the form of an observation checklist that identified contamination hazards at well heads and in their immediate surroundings. Data on well depth, electro-conductivity, pH and temperature were also collected. The data were collected as part of the Groundwater2030 project, which aims to reduce the health problems that result from consumption of contaminated groundwater in urban areas of Africa. The project was co-ordinated by the University of Southampton, with partners at the University of Surrey, the Victoria Institute of Research on Environment and Development (VIRED) International, and the Jaramogi Oginga Odinga University of Science and Technology. The project was funded by the Natural Environment Research Council and the Department for International Development as part of the Unlocking the Potential of Groundwater for the Poor (UPGro) programme.
description: Well depth, electroconductivity, pH and temperature were measured using standardised methods and calibrated instrumentation (where applicable). The sanitary risk assessment was conducted at each groundwater source using the same observation checklist.
DOI: 10.5285/0de897cd-3aa3-45a3-8bff-3bff62c01f30
title: Water chemistry data from Lake Akrotiri, Cyprus, and its main inputs, July 2019 - November 2020

description: Data comprise water chemistry (analysis included phosphorus and nitrogen species, dissolved reactive silicon, suspended solids, chlorophyll, fluoride, chloride, and sulphate) in water samples taken at Lake Akrotiri, Cyprus, and its main inputs between July 2019 and November 2020. The eight monitoring sites included marginal samples from around the lake and also samples of the input canals that drained the surrounding marshes and a drainage pipe.
description: In July 2019 the field measurements were taken by UKCEH using a MYRON L Ultrameter II and a YSI DSS pro. Subsequent samples were taken by staff of the Joint Services Health Unit (JSHU) using a YSI DSS pro.

Field samples were filtered immediately through a 0.45 μm Whatman WCN membrane filter. These were analysed in laboratories at UKCEH Wallingford for phosphorus and nitrogen species, dissolved reactive silicon, suspended solids, chlorophyll, fluoride, chloride, and sulphate. Some values are missing due to equipment failure, the different types of probe used to take field samples or because a sample could not be taken due to access.

The samples were taken by experienced field surveyors and the data was checked for anomalous values. All analysis (with the exception of suspended solids) was carried out alongside reference Aquacheck QC standards (LGC Standards, Teddington, UK).

The samples were taken as part of the Darwin Initiative Plus project, which seeks to monitor and understand drivers of change in the Akrotiri wetlands.
DOI: 10.5285/85657c4c-54c9-4d02-a262-455ea1c38d95
title: Drosophila-parasitoid interactions along an elevation gradient in an Australian rainforest, 2016

description: The dataset contains records of Drosophila flies and associated parasitic wasps collected along two elevational (temperature) gradients from Australian rainforest site. The data is presented at the individual Drosophila pupae level. It describes patterns of parasitism levels from fourteen sites and the structure of quantitative food webs at six sites. Also included are temperature records from each site.
description: All samples were collected and identified by the authors. Host pupae were collected using replicated baited bottle traps at each site. Species were identified using a combination of multiplex PCR, DNA metabarcoding and Sanger sequencing described in the associated paper (https://doi.org/10.1101/2020.07.21.213678), with reference to morphologically identified voucher specimens collected from the same site.
DOI: 10.5285/755e0369-f8db-4550-aabe-3f9c9fbcb93d
title: Gridded simulations of available precipitation (rainfall + snowmelt) for Great Britain, developed from observed data (1961-2018) and climate projections (1980-2080)

description: This dataset presents nationally consistent simulations of available precipitation (rainfall + snowmelt) for Great Britain. These include simulations driven by observational data covering January 1961 – December 2018 and simulations driven by Regional Climate Model (RCM) projections covering December 1980 - November 2080. Both are provided as gridded data at 1km resolution.

The observed input data was HadUK-Grid 1km daily precipitation and temperature. The RCM input data was a 12-member perturbed parameter ensemble from the UK Climate Projections 2018 (UKCP18), provided at a ‘Regional’ 12km resolution aligned with the GB national grid. A simple snowmelt module was used to transform these time-series of precipitation and temperature into available precipitation.

This data was developed for, and used within, the Enhanced Future Flows and Groundwater (eFLaG) project (Hannaford et al., 2022). The eFLaG project was established through a partnership project funded by the Met Office led component of the Strategic Priorities Fund Climate Resilience Programme under contract P107493 (CR19_4 UK Climate Resilience).
description: For the observation-based simulations of available precipitation, the HadUK-Grid 1km observed daily precipitation and minimum/maximum daily temperatures were input directly into a snowmelt module. 

For the RCM-based simulations of available precipitation, climate model output from the UKCP18 Regional projections was used. This consisted of a 12-member perturbed parameter RCM ensemble, providing daily precipitation and minimum/maximum daily temperatures at 12km resolution. Precipitation data was bias corrected using a simple monthly-mean approach, and then downscaled to 1km based on patterns of average annual rainfall. 

Temperature data was downscaled to 1km resolution using a lapse rate and elevation data. The downscaled RCM data were then input into the snowmelt module to provide available precipitation. 

A detailed description of the data processing is given in the accompanying documentation.
DOI: 10.5285/cd35ca67-8121-4a0d-81c9-c4a7fae25117
title: Farming household survey for the evaluation of nitrogen options for economic and social benefit in the eastern region of Bhutan, 2022

description: This dataset holds survey data of individual farming households in the Eastern region in Bhutan relating to their nitrogen use.  The survey was conducted in 2022 and the questions covered two seasons (2022 and 2021 farming seasons) asked at a single visit in the 2022 season. The questions on the winter season were based on recall.

The data cover the following topics: household characteristics, general farm characteristics, plot characteristics, crop production and harvest, synthetic and organic fertiliser use and compost production, labour, irrigation, pesticides, livestock, information sources, drivers of and barriers to adoption of sustainable practices, attitude, behaviour, perception and opinion, household expenditure and income, household asset and wealth, subsidies.

The data were collected primarily to assess differences in nitrogen use efficiency (NUE) and sustainable nitrogen practices between households. The data also aim to enhance understanding of farmers’ attitudes, opinion and decision making affecting NUE in crop production and farm related factors which enable adoption of sustainable practices. 

The data are part of a wider SANH (South Asian Nitrogen Hub) harmonised household survey covering Bangladesh, India, Maldives, Nepal, Pakistan and Sri Lanka.
description: The target population for the proposed survey was households engaged in agriculture in Trashigang Dzongkhag, hence it was purposively selected. Out of 20 Dzongkhags, Trashigang has one of the highest number of people directly engaged in agriculture and also has one of the largest land areas used for agriculture. The sampling for the study involved randomly selecting two villages from each of the following four locations: Kanglung, Khaling, Thrimshing, and Yangneer. In each village, 30 households were also randomly sampled, resulting in a total of 120 households per location and a comprehensive sample size across all locations.

The survey was administered in person in farmers’ homes, field or pre-agreed location in the community where the farmer lives. Enumerators entered farmers’ responses to each question in a pre-prepared template which was then transferred to the CSV data file.

The data were prepared for the requirements of the study and made ready for analysis by removing duplicate records, spelling errors, differences in capitalisation and spacing, inconsistent formats, mixed numerical scales and mixed ranges.
DOI: 10.5285/27da4400-9835-4241-9df9-a3b598f8d274
title: Genotype data for three freshwater macroinvertebrate species in upland Wales, UK (2012-2013)

description: The resource consists of genotype data (genetic constitution of an individual organism) for three freshwater macroinvertebrate species, Amphinemura sulcicollis, Isoperla grammatica and Baetis rhodani collected at sites in upland Wales during May 2012 and May 2013. New nucleotide tandem repeats in DNA sequences i.e. Novel microsatellites were developed for this project so that genetic analysis could be carried out within the three species. Extra data on how microsatellite scores were grouped i.e. binned into unique alleles is provided, to aid replication. The data was generated for Hannah Macdonald's PhD thesis: to study genetic structure and diversity, demographic species history and resilience in freshwater ecosystems. 

The work was carried out under Diversity in Upland Rivers for Ecosystem Service Sustainability (DURESS) project (Grant reference NERC NE/J014818/1). DURESS was funded by the Natural Environment Research Council (NERC) under the Biodiversity and Ecosystem Service Sustainability (BESS) programme.
description: Samples of each invertebrate were collected by kicksampling in May in 2012 and 2013, samples were sorted and identified to genus level on site and stored in absolute ethanol. In the laboratory each larva was identified to species level using Elliott et al. (1988) and Hynes (1977). DNA was then extracted from tissue samples (see supporting information for extraction methods). Baetis rhodani samples contained cryptic species which had to be removed before genotyping, no cryptic species were identified for Amphinemura sulcicollis or Isoperla grammatica. Samples were sent for fragment analysis (Dundee Biosciences, UK) using ROX500 as the internal size standard. Fragment analysis products were visualised and scored using Genemarker v 1.91 (Holland and Parson 2011). These results were downloaded from Genemarker and allele sizes were binned by hand using the 'Binning' information (provided in the metadata) in an Excel spreadsheet. The data were then complied into master Excel spreadsheets for each invertebrate. The data were then exported as comma separated value files for ingestion into the EIDC.
DOI: 10.5285/73a7ae36-2882-434f-a206-76b848e22d82
title: Total alkalinity data from rivers [LOIS]

description: Discrete total alkalinity data for thirteen sites in the Humber catchment sampled within the period 1993 to 1997 and 1996 to 1997 and for three sites from the Tweed catchment over the period 1994 to 1997, as part of the Land Ocean Interaction Study project (LOIS). Sites were sampled at regular weekly intervals and more intermittently during high flows (on average an extra sampling once a month per site). Samples were analysed on day of collection or on arrival at the laboratory using a Metrohm 702 Titrino autosampler.
description: Samples were obtained using a narrow necked HDPE bottle in a plastic covered bottle carrier and filtered through Whatman 0.45um GFC filters immediately on return to laboratory. Samples were analysed on day of collection or arrival at the laboratory using a Metrohm 702 Titrino autosampler with sample changer. Duplicate samples were analysed at the Institute for Freshwater Ecology (IFE) Windermere for a 12 months period and also at IFE East Stoke to compare results obtained by the laboratories. Alkalinity was also measured as part of the chemical harmonisation programme set up by the IFE at East Stoke. A zip file containing box-and-whisker plots for each determinand, showing the range of values (median, inter-quartile range, 1.5 * inter-quartile range, outliers) recorded at each site is available to enable prospective users of the data to understand data quality. The analysis was carried out by members of the analytical chemistry section at York University (from April 1994 until February 1997).
DOI: 10.5285/d057f4e4-c2c7-4cea-a5de-1562f970a533
title: Functional traits of tropical forest tree species, Sirsi, Western Ghats, India, 2021

description: This dataset includes tree eco-physiological traits characterising ranges of functioning of various components of trees. Specifically the dataset includes measurements of thermal limits of functioning of photosystem II, hydraulic safety margin, turgor loss point, CO2 assimilation versus temperature curves, leaf morphological traits for nine representative species measured during two seasons: post-monsoon and summer.

The overall purpose of the measurements from this project is to determine eco-physiological limits of functioning of tropical trees in Western Ghats India and to relate them to continuously measured temperature and water status of tropical forest trees at a representative site (Sirsi).
description: The trait data were measured during targeted campaigns in 2020 and 2021 at a forest fragment close to Sirsi. Measurement methodologies:
1) Thermal traits: a) CO2 assimilation temperature relationship, derived from leaf A-T (CO2 				assimilation versus temperature) curves measured using LICOR 6400 and b) Temperature limits of Photosystem II functioning derived from fluorescence measurement of leaf disks heated in water bath.
2) Hydraulic traits - a) Stress (negative pressure) at which 50% of conductivity is lost based on 			vulnerability curves and b) Turgor loss point measured using PV curves.
DOI: 10.5285/1be4eef2-0591-4073-bae2-e00b6ff4462f
title: Environmental monitoring data from upland and lowland blanket peatland in the Flow Country, Scotland, 2017-2019

description: The datasets contains monthly environmental data from HOBO dataloggers which were used to measure precipitation, air temperature, Photosynthetically Active Radiation (PAR), soil moisture, soil temperature and water level relative to surface from 6 points in 1km2 of upland (RSPB Forsinard Knockfin Heights) and 6 points in a 1km2 of lowland (Plantlife Munsary) blanket peatland within the Flow Country, Caithness and Sutherland. 

Data was obtained every 15 mins between September 2017 and November 2018 covering the 2018 European Drought Event.
description: All data were generated by the authors. As data was generated, checks were made to ensure accuracy and calibration.
DOI: 10.5285/06ea87f3-476d-40fd-acce-e6923e786d48
title: Changes in gene expression and encapsulation in Drosophila melanogaster caused by exposure to parasitoid wasps v2

description: Data consists of gene expression estimates and encapsulation rates in wild caught Drosophila melanogaster larvae following exposure to different treatments. Treatments include injection with wasp homogenate, injection with oil and no injection. Also provided are functional enrichment categories for differentially expressed genes and library generation and read mapping metrics. The data were produced under the grant: NE/P00184X/1 Why does Drosophila vary in susceptibility to parasitoid wasps.
description: Drosophila melanogaster larvae obtained from a wild caught population were exposed injected with wasp homogenate, oil or no manipulation was made. Encapsulation rates were measured in each case in the fly larvae. For RNA-sequencing, hemocyte and fat body tissues were isolated from third instar larvae 24 hours post experimental manipulation. RNA was isolated for sequencing. Sequenced reads were trimmed, mapped to the dm6 genome, number of reads mapping to each gene was counted, differential expression tests were applied, and functional enrichment was done.
DOI: 10.5285/3bd6397d-f0db-40c4-885a-95ca280a6683
title: Acid manipulation field experiment in North Wales and the Peak District (2015-2016): Litter decomposition, Tea Bag Index and pore water chemistry data

description: Data from an acidity manipulation field experiment for three treatment types: control, acid and alkaline.

Each treatment type had four replications at two experimental site locations and two soil types (making 48 sampling points per sampling time).

The data includes chemistry data (pH, EC, DOC, SUVA254) for a variety of sample types (pore water from peat and organic soil (monthly), decomposing surface litter extracts (quarterly), and soil extracts (quarterly). 
Litter bag data includes mass loss of litter following a period of incubation in soil (3, 6 9 or 12 months), and chemistry of litter extracts (pH, EC, DOC, total nitrogen, SUVA254). There are up to four sub-replications per treatment replication. 

Data is also presented for the Tea Bag Index, including kTBI (decomposition rate) and S (stabilisation factor). There are up to three sub-replications per treatment replication.
description: Data was collected from an acidity manipulation field experiment which took place between 2015-2016 at two locations in the UK; Migneint in North Wales (3°48.8′ W, 52°59.6′ N), and Peaknaze in Northern England (1°54.5′ W, 53°28.3′ N). Water samples were filtered and stored at fridge temperature in amber glass bottles until analysis. Sample analysis took place within 1 week of collection at the Centre for Ecology and Hydrology (Bangor).

Litter and tea bag samples were stored at fridge temperature and processed within one month of collection. Analysis took place at  the Centre for Ecology and Hydrology (Bangor). Water extracts were filtered, stored in amber glass bottles at fridge temperature and analysed within one week of the extraction.

All instruments measuring water chemistry were calibrated prior to the analysis, and runs included calibration standards and check solutions of known concentrations. Checks were include at the start, middle and end of the runs to check for drifts in measurements. Aquacheck solutions were also included for QA purposes.
DOI: 10.5285/7c2778bf-b498-4ba2-b8cb-60a2081e5ba7
title: Interferometric Synthetic Aperture Radar ground motion and timeseries data over the Flow Country, Caithness and Sutherland, March 2015-July 2019

description: The datasets contain Interferometric Synthetic Aperture Radar (InSAR) measurements carried out over Caithness and Sutherland in order to measure peatland surface motion over the Flow Country using the Advanced Pixel System Intermittent Small Baseline Subset InSAR technique (APSIS InSAR). The data covers surface motion across all landcover types within the survey area. It includes timeseries of peat surface height and long term mean motion over the survey period. Data was collected on a 6-12 day basis from 12/3/2015-7/7/2019. Missing pixels are associated with low coherence and are excluded. Missing survey dates are associated with processing issues or poor coherence. Data processing was carried out by Terra Motion Ltd.
description: All data were generated by the authors. InSAR measurements were made using a Maximum horizontal baseline was restricted to 250m with maximum temporal separation of 1 year using a coherence threshold of 0.25 and point threshold of 360. Motion was measured relative to a stable reference point at Wick Airport (58.4533° N, 3.0879° W). Data was checked in house by Terra Motion Ltd during and after processing.