cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5285/65b23264-2991-4ce2-83e7-7729a3947d75
title: Biodiversity and environmental conditions along public walking routes in three UK towns (Bedford, Luton and Milton Keynes), 2014

description: The data describe a set of field surveys to assess conditions along public walking routes. A spectrum of urban forms was identified in the towns of Bedford, Luton and Milton Keynes, in the UK. A sample of these were surveyed on foot to measure biodiversity and environmental conditions during the day. These were supplemented with landscape-scale remotely sensed data characterising the surrounding landscape. 
description: The data were collected between May and September 2014 in Bedford, Luton and Milton Keynes, UK. A subset of 500m x 500m survey tiles (n = 109) were selected from across the three towns using a stratified sampling design. Transect routes of 700m were established in each survey tile. Butterfly visual surveys (species and abundance) were undertaken along the routes using the Pollard Walk. Trees species and abundance were recorded at eight 10-m radius survey points at 100-m intervals along the transect. Bird surveys (two 10-minute counts) were conducted at four publicly accessible points in each tile. Environmental data were collected using instruments mounted on aluminium backpack frames, carried by a field surveyor. A particulate matter counter (Dylos DC1700) recorded continuously along the transect. A separate backpack carried an Optimus Red Sound Level Meter and two ibuttons. At the eight survey points along the route, plus two additional points per route, these recorded LAeq and temperature, respectively. Measures of the surrounding environment (road density, distance from urban edge, impervious surface cover, percent industrial land use, foliage height diversity, median patch size, residential garden cover, Index of Multiple Deprivation) were calculated at the tile level from a variety of spatial data sources. Field data were manually input or uploaded as appropriate and were compiled and error checked. Quality assurance was managed by the senior researcher carrying out the processing of each dataset, overseen by the principal and co-investigators of the project. Data were compiled and exported as a csv file for deposit into the EIDC, along with shapefiles of associated spatial data.
DOI: 10.5285/8df65124-68e9-4c68-8659-1c6b82c735e9
title: Gridded (1km) physical river characteristics for the UK v2

description: The dataset includes six files of UK physical river characteristics including five files of gridded data at 1 km x 1 km resolution and one comma separated table. The data includes: 
•	Drainage directions (D8 flow method), ESRI coding
•	Drainage directions (D8 flow method), unifhy (python hydrology framework) coding
•	Catchment areas (km2)
•	Widths of bankfull rivers (m)
•	Depths of bankfull rivers (m)
•	NRFA gauging station locations (easting (m), northing (m))

Two versions of drainage directions are provided, both have the same drainage directions but different numbering systems. The comma separated NRFA (National River Flow Archive) gauging station locations table provides the best locations of 1499 river flow gauging stations on the 1km grids, together with the approximate error in the 1km × 1km gridded delineation of the upstream catchment area. All datasets are provided on the British National Grid.
description: The 1 km x 1 km outflow drainage direction and catchment areas datasets are generated from a 50 m x 50 m resolution digital terrain: IHDTM (Integrated Hydrological Digital Terrain Model). Bankfull river widths on a 1 km x 1 km grid are generated using the OS MasterMap Water Network Layer width data in a regression relationship with catchment area and rainfall characteristics. The 1km × 1km gridded bankfull river depth dataset is generated using observed measurements from a range of sources in a regression relationship with catchment area and rainfall characteristics. 

Finally, the NRFA (National River Flow Archive) gauging station location dataset on a 1 km x 1 km grid is generated by identifying the location (easting, northing) on the catchment areas dataset that best represents the true gauging station location. An indication of the quality of these data is provided by the percentage error between the 1km-derived and the IHDTM catchment areas. See supporting information for more details.
DOI: 10.5285/d7b25308-3ec7-4cff-8eed-fe20b815f964
title: Pollinator visitation data on oilseed rape varieties

description: This dataset contains counts of pollinators visiting different varieties of oilseed rape (OSR). Data were collected from four trial sites in the UK in May 2012. The trial sites comprised of 20 varieties (plots) replicated in three blocks on each farm but only 2 of the blocks at each site were used for pollinator observations. Pollinator observations were also only made where there were greater than 30 percent of OSR plants in flower in the plot and only when weather conditions were within standardised limits. For each plot per site a six minute observation period was made during which the number of pollinators within the following taxon groups were counted: bumblebees to the species level, solitary bees identified to general body forms (Lasiglossum to genus level; Osmia separated to bicolour and rufa; Andrena separated to body forms typical of dorsata, carantonica, nigroaenea, haemorrhoa, fulva, flavipies, nitida, cineraria, bicolour and minuta), large hoverflies (> 12 mm), small hoverflies (< 11 mm), and Bibionidae. Each variety was observed for two separate six minute periods to reduce the impacts of minor fluctuations in weather that may reduce pollinator observations within single six minute periods. The dataset was collected as part of a project which aimed to identify key pollinators for OSR and identify if there are feeding preferences for individual varieties.
description: All field based data collection was undertaken by either experts in bee identification or were experienced field ecologists. Consistency of identification between individuals undertaking recording was checked. To ensure quality of data entry standardised data entry sheets and a common set of unique abbreviations for species names were used. A common nomenclature was used to ensure that consistent species names were used and to avoid situations where taxonomic revision cause false duplications of species within the data set. Data entry was based on transcribing paper copies of field data sheets and was undertaken by a single individual. Following data entry, values entered were double checked to ensure accidental typing errors were removed. Graphing of raw values was used to identify potential out-of-range values. As data on the OSR varieties under testing is considered commercially sensitive codes rather than names are used for OSR varieties.
DOI: 10.5285/27e7df36-d689-4803-93b4-c15935693b83
title: Common juniper single nucleotide polymorphism (SNP) and microsatellite (SSR) genotype data from individuals sampled from 18 natural UK populations in 2019

description: This dataset contains genotype data of Single Nucleotide Polymorphisms (SNPs) and Simple Sequence Repeats (SSRs) from 18 populations of UK juniper, including the two subspecies hemisphaerica and nana. Plant material was collected in 2019. 

These data were gathered as part of a project on juniper conservation genetics that also includes an analysis of the quantitative genetics of UK junipers. The main goal of the project is to evaluate the standing genetic variation of populations using both quantitative and population genetic analyses.
description: For the SNP genotyping plant material was collected in 2019. Needles were freeze-dried and finely chopped using a razor blade, and then using a Retsch MM 300 mixer mill at a frequency of 30/s for a total of 2 minutes with metal beads in each Eppendorff tube to grind samples. Razor blades, scissors and lab surfaces were cleaned with 2% ethanol between processing samples. DNA was extracted for each sample using a Qiagen DNeasy Plant Pro kit following the manufacturer’s instructions. SNPs were identified and sequenced for this study by the Plant Genomic Resources Centre (CNRGV, INRAE, France; https://cnrgv.toulouse.inrae.fr/). A sub-sample of these were used to develop two Sequenom SNP chips which provided data on 74 SNP loci in the samples analysed in this study 

For the SSR genotyping a new set of microsatellite markers was developed for this study. Juniper DNA samples were sent to Microsynth Ecogenics (https://www.ecogenics.ch/home.html) to identify nuclear microsatellite (SSR) polymorphisms. Of the 285 identified microsatellites 48 were tested using multiplex PCR and gel electrophoresis which returned 6 polymorphic markers which were consistently amplified by PCR. PCR products were run on a Licor 4300 DNA sequencer and the allele sizes scored by eye using a size marker as reference.
DOI: 10.5285/5d080fef-613a-4f24-a613-b249ccdd12bf
title: Hydrological and meteorological data for three plots with different vegetation near Andasibe, Madagascar, 2014-2015

description: Hydrological and meteorological data were collected for three plots (each 50 x 50 m in size) near Andasibe village in the Corridor Ankeniheny-Zahamena (CAZ) in eastern Madagascar. The plots differ in terms of land cover: semi-mature forest, reforested tree fallow (i.e., young secondary forest), and degraded grassland. The plots are located within 2.5 km from each other. See the supporting documentation for detailed information on the plots. Data collection continued for one year (October 2014-September 2015) at each plot and included micrometeorological data (rainfall, temperature, relative humidity, wind speed), soil moisture and overland flow, and for the two forested plots also throughfall, stemflow and sapflow.
description: The meteorological data were collected on a meteorological tower at each plot, except for the forested plot where the tower was located in a nearby clearing. Rainfall was collected automatically using a typing bucket raingauge. For the two forested plots, throughfall was measured daily using 66 funnel gauges and automatically using three troughs, and stemflow was collected daily. Soil moisture was measured automatically at different depths below the surface. Runoff was collected in drums below bounded runoff plots and measured daily. The methods used to collect the hydrological and meteorological data at each plot and the data processing steps are described in more detail in the "Methods.rtf" file
DOI: 10.5285/9e2181fa-3eef-42c8-b2e1-98d82314bbc9
title: Soil temperature profiles from permafrost in subarctic Canada

description: This dataset consists of soil temperature profiles from permafrost in subarctic Canada. Soil temperature profiles were monitored during summer in 2013 and 2014 in Yukon and Northwest Territories. Monitored sites included peatland plateaus, thawing features of peatland plateaus, unburnt and burnt black spruce forests, and additional sites.
description: Soil temperatures were recorded using a conventional electronic thermometer and using thermistors inserted at depth and connected to a multimeter. In some sites, soil temperatures were monitored using a Rototherm probe (British Rototherm Co. Ltd. Port Talbot, UK) connected to a hand-held digital thermometer.
DOI: 10.5285/11bc98b8-5f2b-4a25-804c-16010052cdb7
title: Standardised counts of bacteria, fungi and micro eukaryotes abundances across geo-linked sampling locations on grassland, UK (2016)

description: The data consist of standardised counts of taxon abundances (bacteria, fungi and micro eukaryotes) from soil samples collected from paired intensive and extensive grassland systems, including low and high pH parent soils, from 32 sites across the United Kingdom. The samples were collected during winter and spring 2015-2016 from sites across the UK. DNA were extracted and taxonomic marker genes assessed using high-throughput DNA sequencing techniques to yield information about the genetic diversity and abundance of the microorganisms therein.

The data were collected to help understand soil functional change in a variety of management and climatic scenarios as part of NERC U-GRASS (Understanding and enhancing soil ecosystem services and resilience in UK grass and croplands) award (NERC Reference NE/M017125/1) part of the NERC Soil Security Programme.
description: Soil samples were collected from 32 grassland sites across the United Kingdom. Total soil DNA was extracted from field moist soil. Extracted DNA was subject to taxonomic amplicon sequencing and bioinformatics processing at the facilities of the Molecular Ecology Group, Centre for Ecology & Hydrology, Wallingford. The compiled data set was exported as a comma separated value file for deposition into the EIDC.
DOI: 10.5285/c72ab043-1b02-42c9-94e8-c1cae42b3dc8
title: Long-term monitoring of vegetation in exclosure and grazing plots at Moor House National Nature Reserve, 1953-2016

description: The dataset consists of plant species data from a range of upland vegetation types.  The study sites are situated within the Moor House National Nature Reserve in the North Pennines, UK.  The area is grazed by free-ranging sheep and paired plots of grazed and ungrazed vegetation were set up at nine locations between 1953 and 1972.  These plots have been monitored using the same (pin frame) methods at irregular intervals between their establishment and 2016.  Within each plot fixed transect and frame positions are used.  The data includes structural and frequency data for vascular plants and presence/absence data for bryophytes and lichens.

The plots were set up and are currently maintained by Natural England (NE) and its predecessor bodies and since 1982 they have been monitored by the Environmental Change Network (ECN) through the UK Centre for Ecology and Hydrology (UKCEH).
description: The fixed plots are permanently marked with wooden posts or metal markers so that the transect and pin frame positions can be relocated using tape measures and a metal detector.  All surveys were done by botanical experts with previous upland vegetation recording experience and specimens not identified in the field were collected and examined in the laboratory.  The data was collected on paper recording sheets and double checked post entry into the datafile.
DOI: 10.15468/dl.p8uyqu
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (, , Phoebe brachythyrsa, , , , , )",
 "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 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031257-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5285/5a20234c-08b8-48c3-80da-3def9ba44626
title: Soil moisture data from tropical forests, Sirsi, Western Ghats, India, 2021-2022

description: The data comprise soil moisture profile measurements taken at depths of 10cm, 25cm, 50cm and 110cm close to trees in a valley in a tropical forest, Sirsi Karnataka, Western Ghats, India, between January 2020 and January 2022.

The data provide a measure of tree soil water stress when analysed with related data e.g. hydraulics, photosystem II temperature resilience, photosynthesis characteristics and leaf traits.

The overall purpose of the measurements was to determine the 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 forest fragment site (Sirsi).
description: Soil moisture was measured using Campbell CS616 Water Content Reflectometers. The sensors were installed on a gentle slope approximately 500 m distance from local valley bottom.
Data are quality controlled. The dataset has time gaps caused by malfunction of instrumentation.
DOI: 10.5285/acf464dc-be75-41b8-9688-f2ba4037ef53
title: Hydrocarbon and microbial community data from contaminated beaches in Salamina and the Athens Riviera following the Agia Zoni II Oil Spill (2017-2018)

description: These data were collected from surface sediments (0-5 cm) at sites located along the Athens Riviera and Salamina coastline, Greece. The sediments came from both oil-contaminated (via Agia Zoni II oil-spill) and uncontaminated sites and were first collected between September 2017 and April 2018. For sediments taken at each site, data includes hydrocarbon concentrations (alkanes and Polycyclic Aromatic Hydrocarbons (PAHs)), absolute microbial abundance (by Quantitative Polymerase Chain Reaction (qPCR)) of Bacteria, Archaea, and Fungi, and 16S rRNA amplicon libraries of Bacteria and Archaea. Additionally, nutrient concentrations (ammonia, nitrate, nitrite, silicate, and phosphate) were measured from seawater samples taken at the same sites.

This study was conducted by the University of Essex, in partnerships with Archipelagos Institute of Marine Conservation and Cranfield University, and funded by the National Environmental Research Council and EnvEast DTP.
description: Samples were collected, in triplicate, in sterile 100 ml containers from the coastal surface (0 - 5 cm) sediments. To attain a comprehensive sample of the oil spill, samples were taken from control (non-oil contaminated) and contaminated (oil contaminated) sites along the Athens Riviera and Salamina Island coast, Greece. Samples were initially collected from the Athens Riviera immediately (September 2017) after the oil spill occurred.
Subsequently, samples were collected from both Athens and Salamina in the following months, although there are some missing data points. 
The sampling schedule concluded in April 2018.
DOI: 10.5285/d2c301d4-8a77-4571-9667-01168356a2d3
title: Southern Ocean procellariform blood and feather stable isotope data

description: This dataset comprises the delta-13C and delta-15N stable isotopic information from two tissue samples (whole blood and mantle feathers) from 16 adults of 8 species of Southern Ocean procellariform collected at Bird Island, South Georgia during the austral summer 2001-2002. There have been numerous long-term research projects carried out at Bird Island under the auspices of the British Antarctic Survey, and this data represents one very small component that has been used to examine inter-specific competition in both the breeding and non-breeding periods.
description: Blood samples were centrifuged within 1-3 h to separate cells and plasma, then kept frozen at -20degreesC until freeze-dried and homogenised for analysis. Lipids were not extracted from blood cells as this is considered unnecessary. Feather samples were dried, stored in sealed plastic bags, then later ground to a fine powder in a freezer mill operating at liquid N temperature prior to analysis. C and N isotope ratios were measured by continuous-flow isotope ratio mass spectrometry, using a Carlo Erba (model NA 1500) elemental analyzer (EA) linked to a Finnigan Tracer Mat and a Costech (model ECS 4010) EA combined with a Thermo Finnigan Delta Plus XP. Three internal laboratory standards were analysed for every ten unknown samples, and measurement precision of both Delta15N and Delta13C was estimated to be less than or equal to 0.2 parts per thousand. Internal standards are routinely (once a month) calibrated against International Atomic Energy Agency and National Institute of Standards and Technology stable isotope reference materials.
DOI: 10.5285/35a9dcfa-cf47-44cf-ad1e-8b4b59238768
title:  Climate data for Mount Etna, Sicily, 2017-2018

description: This dataset contains climate data for Mount Etna in 2017. The measurements were conducted as part of a study in to transplanting of two Senecio species on Mount Etna.

Dataloggers were deployed at each of the four transplant elevations (500 m, 1000 m, 1500 m, 2000 m) to record temperature. Daily maximum and minimum were extracted to understand how temperature varied across elevation and seasons.
description: For each datalogger (three dataloggers at each of the four elevations), the software R was used to calculate the maximum and minimum temperatures for each day.
DOI: 10.5285/3890dcf8-da31-430c-942e-4baa5219a7b7
title: Surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a data from Blelham Tarn, UK, 2021-2022

description: This is part of an ongoing long-term monitoring dataset of surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a from fortnightly sampling at Blelham Tarn in Cumbria, England that began in 1945 for some variables. The data have been collected by the UK Centre for Ecology & Hydrology (UKCEH). The data available to download comprise surface temperature (TEMP) in degree Celsius, surface oxygen saturation (OXYG) in % air-saturation, Secchi depth (SECC) in metres, alkalinity (ALKA) in µg per litre as CaCO3 and pH. Ammonium (NH4N), nitrate (NO3N), soluble reactive phosphate (PO4P), total phosphorus (TOTP), dissolved reactive silicon expressed as SiO2 (SIO2) and phytoplankton chlorophyll a (TOCA) are all given in µg per litre. Water samples are based on a sample integrated from 0 to 5 m. All data are from January 2021 until the end of 2022.
description: Please note that the data presented here are raw data that have not yet been quality-controlled and calibrated. However, the data has been double-entered and checked visually. Missing data are due to weather conditions, COVID-19 restrictions, or staff shortages.
Measurements are made from a boat at a marked location (buoy) at the deepest part of the lake. When it was not possible to visit the buoy, samples were taken from the shore, thus water samples were not integrated on these occasions, marked as Flag 2.
DOI: 10.5285/1011037f-4f41-41db-ac7a-0d8e9b8bc933
title: Projections of water scarcity in croplands, 2050

description: Projections of global changes in water scarcity with the current extent of croplands were combined to identify the potential country level vulnerabilities of cropland land to water scarcity in 2050. The data relate to an analysis of the impact changes in water availability will have on cropland availability in 2050. 
description: Global maps, of the change in annual runoff (%) and water scarcity (index value between 1 to 4, where 1 represents not water scarce and 4 is severely water scarce) were as estimated based on projections from 5 different general circulation models/ global climate models (GCMs) were obtained directly from Prof. N. Arnell (University of Reading). 

Global maps of the current cropland area were directly downloaded from www.earthstat.org, which is an open access platform that hosts the most up to date versions of data. Maps of croplands were created based on a mixture of satellite derived data mixed with national, state and country census statistics, and were expressed on a global 5 arc-minute grid.