cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0169965.10fu
title: SH0169965.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.5285/aaada12b-0af0-44ba-8ffc-5e07f410f435
title: Topsoil physico-chemical properties from the UKCEH Countryside Survey, Great Britain, 2019

description: This dataset consists of measures of topsoil (0-15cm) physico-chemical properties from soils sampled from the first 100 1km squares across Great Britain in 2019 as part of a rolling soil and vegetation monitoring program of 500 1km squares repeated every 5 years. The properties included are: soil organic matter (loss on ignition (LOI)), derived carbon concentration, total soil organic carbon (SOC), nitrogen, Olsen-phosphorous, pH, electrical conductivity, soil bulk density of fine earth and fine earth volumetric water content. 

The UKCEH Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside. The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB. Surveys have been carried out in 1978, 1984, 1990, 1998 and 2007 by the UK Centre for Ecology & Hydrology (UKCEH) and predecessors, with repeated visits to the majority of squares. 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. In addition to soil data, vegetation species data are also gathered by the current phase of the Countryside Survey.

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: Within each of 100 x 1km sample squares, a set of soil samples were taken from 5 pre-determined randomly dispersed locations (where practically possible). The soil sample analysed for soil metrics was taken using a black plastic core ('C-core'), 15cm long, from a location co-incident with vegetation surveys.

After collection, the soil cores were refrigerated and stored until posted, usually within a couple of days, to laboratories at the UK Centre for Ecology & Hydrology (UKCEH), Bangor and Lancaster. Analysed data were transferred to secure databases at UKCEH following sample analysis.
DOI: 10.5285/ae7a60ac-b72d-41f5-a42c-c648769cd403
title: Soil hydraulic property data from the Climoor fieldsite in the Clocaenog Forest (2010-2012)

description: This dataset contains soil hydraulic measurement data from the Climoor field site in the Clocaenog forest, in North Wales. The collection contains five data sets. 1) soil bulk density (0-5 centimetre) and saturated water content. 2) Unsaturated hydraulic conductivity measured in the field at tensions of -2 and -6 centimetre using a mini disk infiltrometer. 3) Unsaturated hydraulic conductivity measured using a HYPROP (registered trademark) instrument, an instrument which determines the hydraulic properties of soil samples, on soil cores taken from the field plots. 4) Soil water release curves for wet soil corresponding to the hydraulic conductivity measurements made using a HYPROP in the laboratory on cores from the field. 5) Soil water release curve data for dry soil measured using a WP4 potentiometer. The dataset has been quality checked, and incorrect or missing values removed, data has not been infilled and not available (NA's) have been added where there is no data. Data was collected between the end of 2010 and early 2012. Data sets 1, 3 and 4 were collected in April and September, 2011, data set 2 in May, 2012 and data set 5 in November, 2010. The Climoor field experiment intends to answer questions regarding the effects of warming and drought on ecosystem processes. The reported data were collected to monitor site specific soil properties at a specific reference time.
description: Data was collected by experienced staff scientists who work with soils. Data sets 1, 3 and 4 were collected using stainless steel cores that fit to the HYPROP (registered trademark) instrumentation (UMS, Munich, Germany). Bulk density in data set 1 used the oven drying method at 105 degrees celsius. Data set 2 was collected using a minidisk infiltrometer (Decagon devices, Pullman, USA) while data set 5 was measured using a WP4-PotentiaMeter (Decagon devices, Pullman, USA). All data visually inspected using basic graphing tools as part of the quality assurance, quality control procedures. Data processing steps using the HYPROP data (3, 4) included using the HYPROP-FIT Software. In order to have water release curve data at the same suction, all raw data were interpolated using spline fitting in R (R Development Core Team, 2014). The minidisk infiltrometer measurements were converted to hydraulic conductivity using the standard approach detailed in the minidisk manual, which along with all the other manuals is included in the data set supporting materials. All data were collated into an Excel spreadsheet. Each dataset was exported from the Excel spreadsheet as a separate comma separated (.csv)  file for ingestion into the Environmental Information Data Centre.
DOI: 10.5285/f30e4fde-634b-402a-b807-b5188d21b998
title: UK ecological status map

description: A spatial indicator of ecological status for valuation of biodiversity across the UK, based on species occurrence records was developed. UK species occurrence data were collated from the Biological Records Centre (BRC). The mean ecological status was calculated across all taxonomic groups for the 2000 to 2013 time period, relative to the species richness maximums from the 1970-1990 time period, showing differences as colours.
description: UK species occurrence data were collated from the Biological Records Centre (BRC). Data were gathered for 11 taxonomic groups (Bees, Birds, Bryophytes, Butterflies, Carabidae, Hoverflies, Isopoda, Ladybirds, Moths, Orthoptera and Vascular plants) at the 10km2 scale (hectad) over two separate time periods: 1970 to 1990 and 2000 to 2013. Bird species occurrence data for the breeding birds of the UK were acquired from the British Trust for Ornithology (BTO). We used data corresponding to the two time periods defined above, taken from the bird atlases of 1976 and 2001-2011 respectively. Estimating species richness and measuring ecological status: Separate analyses were undertaken for both time periods within each taxonomic group. For each hectad we compiled a species list and calculated species richness. We then applied a recently developed method (FRESCALO; Hill 2012) to account for the variation in recorder effort within different hectads. The ecological status of each hectad was calculated using a relative measure of estimated species richness. Each hectad was assigned to an environmental zone, determined by land cover type, climate, geology and topography. We assigned zones using the 2007 ITE land classification (Bunce et al. 2007), according to the dominant ITE land class (45 classes in total) present in individual hectads (Figure S1). A reference list of potential species was then compiled for each environmental zone, and the estimated species richness for any given hectad was compared as a proportion to the list of species that could potentially be there. The mean ecological status was calculated across all taxonomic groups for the 2000 to 2013 time period, relative to the species richness maximums from the 1970-1990 time period.
DOI: 10.15156/bio/sh0169966.10fu
title: SH0169966.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.5285/470d9bf9-8c82-487c-956e-f15f9d8aac64
title: Potential evapotranspiration derived from HadUK-Grid gridded climate observations 1969-2020 (Hydro-PE HadUK-Grid)

description: Gridded potential evapotranspiration calculated from HadUK-Grid gridded observed meteorological data at 1 km resolution over the United Kingdom for the years 1969-2020. This dataset contains two potential evapotranspiration variables: daily total potential evapotranspiration (PET; kg m-2 d-1) and daily total potential evapotranspiration with interception correction (PETI; kg m-2 d-1). The units kg m-2 d-1 are equivalent to mm d-1.

The data are provided in gridded netCDF files. There is one file for each variable, for each calendar month.

These data were generated as part of NERC grant NE/S017380/1 (Hydro-JULES: Next generation land surface and hydrological prediction.)
description: This dataset was derived from the HadUK-Grid gridded observed meteorological dataset v1.0.3.0 at 1 km resolution over the United Kingdom for the years 1969-2020 (https://catalogue.ceda.ac.uk/uuid/4dc8450d889a491ebb20e724debe2dfb). HadUK-Grid is a gridded dataset derived from observed meteorological station data. The daily total potential evapotranspiration (PET; kg m-2 d-1) was calculated using the Penman-Monteith equation parameterised for a well-watered grass surface. The daily total potential evapotranspiration with interception correction (PETI; kg m-2 d-1), was calculated as PET then a correction added for interception by a grass canopy on days with non-zero precipitation.

The HadUK-Grid meteorological variables used were: daily maximum and minimum air temperature at 1.5 m (°C), daily precipitation (mm d-1), monthly mean water vapour pressure (hPa), monthly mean sea level pressure (hPa), monthly total sunshine hours (hours) and monthly mean wind speed at 10 m (m s-1). Other variables used were the surface elevation (m) and Ångström coefficients a, b and c. A description of the methodology is available in the supporting documentation.
DOI: 10.5285/e27124dd-aef2-4fa8-b90d-32b782e21ff7
title: Carbon concentrations in natural and restoration pools in blanket peatlands in Scotland, 2013-2015

description: Dataset contains water chemistry data (pH, conductivity, dissolved carbon, dissolved gases, absorbance) from natural and artificial/restoration peat pools in Scottish peatlands. Water samples were collected seasonally from three sites, and more frequently (up to weekly) from one site, within the Flow Country.  

This work was supported by the Natural Environment Research Council award number NE/J007609/1
description: Data were collected quarterly and fortnightly between 2013 and 2015 from peatland pools in Scotland. Data were quality checked (detection limits of equipment) and analysed between 2018 and 2021.
DOI: 10.15156/bio/sh0169967.10fu
title: SH0169967.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.cdv5rw
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((74.99296699999999 20.539692, 74.917968 20.534115, 74.844831 20.517525, 74.775372 20.490333, 74.71131200000001 20.453213, 74.654236 20.407087, 74.60555100000001 20.353097, 74.56645399999999 20.29258, 74.53789999999999 20.227033, 74.520579 20.158075, 74.514906 20.087407, 74.52100299999999 20.01677, 74.53870499999999 19.947902, 74.56756300000001 19.882496, 74.606854 19.822156, 74.65560600000001 19.768363, 74.712615 19.722433, 74.77648000000001 19.68549, 74.845636 19.658438, 74.918391 19.641938, 74.99296699999999 19.636393, 75.067543 19.641938, 75.140298 19.658438, 75.20945399999999 19.68549, 75.273319 19.722433, 75.33032799999999 19.768363, 75.37908 19.822156, 75.41837099999999 19.882496, 75.44722899999999 19.947902, 75.46493100000001 20.01677, 75.471028 20.087407, 75.465355 20.158075, 75.44803400000001 20.227033, 75.41947999999999 20.29258, 75.38038299999999 20.353097, 75.331698 20.407087, 75.27462199999999 20.453213, 75.210562 20.490333, 75.141103 20.517525, 75.067966 20.534115, 74.99296699999999 20.539692))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001374-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5285/3bf9b65d-727c-4b46-9db6-c0814dc5895f
title: The Isle of May long-term study (IMLOTS) seabird annual breeding success 1982-2021

description: This dataset contains calculated breeding success rates for six seabird species from representative colonies on the Isle of May, off the East coast of Scotland. Annual breeding success has been measured as the number of chicks fledged per active nest for the Atlantic puffin (Fratercula arctica, since 1982), common guillemot (Uria aalge, since 1982), razorbill (Alca torda, since 1982), European shag (Gulosus aristotelis, since 1987), black-legged kittiwake (Rissa tridactyla, since 1987) and northern fulmar (Fulmarus glacialis, since 1987).
description: All fieldwork, sampling and data handling was carried out by experienced and trained staff to defined protocols agreed to meet the objectives of the work. All data was collected in the field in notebooks and field data sheets.  These were transcribed to spreadsheets after each check was made and files backed up to UKCEH directories. As hatching and fledging dates were known the data recorded on spreadsheets were checked for inconsistencies.  Any potential errors were then checked in the field.  All notebooks and fieldsheets are archived at UKCEH Edinburgh.
DOI: 10.5285/8d3d252c-8fa2-493e-ba8e-ebae9fee4f99
title: Plant biodiversity and associated environmental data along an invasion gradient of Urochloa decumbens following prescribed burnings in a tropical savanna, Cerrado region, Brazil, 2019-2021

description: The data comprise measurements of the impact of two prescribed annual burnings on the ecological properties of an invasion gradient by Urochloa decumbens in a tropical savanna (Cerrado). The ecological properties measured before (2019) and after the experiment (2021) were the abundance of invasive species, illuminance, air temperature, air humidity, specific leaf area, species richness, species diversity, vegetation cover, biomass, decomposition rate and carbon efflux.

The two experimental areas were located within two reserves in Southeast and Central Brazil: Estação Ecológica de Itirapina in the municipalities of Brotas and Itirapina in São Paulo State, and Parque Nacional de Brasília in the Distrito Federal.

Data were collected during multiple field excursions between March 2019 and September 2021.
description: Data was collected in the field and digitized. Material sampled in the field that required any type of further manipulation or processing was brought to the Laboratório de Ecologia Vegetal da Universidade Estadual Paulista (Unesp). If further processing was required (dependant on material type), this was recorded and can be found in the data (.Rdata file).
DOI: 10.15156/bio/sh0169968.10fu
title: SH0169968.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.5285/cdcf6ec3-1949-4fe7-a6f2-33c7403eafa1
title: Daily and sub-daily hydrometeorological and soil data (2013-2015) [COSMOS-UK]

description: This dataset contains daily and sub-daily hydrometeorological and soil observations from COSMOS-UK (cosmic-ray soil moisture monitoring network) from the start of the network, in October 2013, to the end of 2015. These data are from 32 sites active across Great Britain during this time, recording a range of hydrometeorological and soil variables. Each site in the network hosts a cosmic-ray sensing probe; a novel sensor technology which can be used, in combination with hydrometeorological data, to calculate the volumetric water content of soil over a field scale. The hydrometeorological and soil data are recorded at a 30 minute resolution and they include neutron counts from the Cosmic-ray sensing probe, humidity and atmospheric pressure data that are used to derive volumetric water content at two temporal resolutions (hourly and daily). Also included are soil heat flux, air temperature, wind speed and net radiation data which are used to derive potential evapotranspiration at a daily resolution. 



description: Hydrometeorological and soil variables are recorded on site and telemetered to a central data system at CEH Wallingford every hour. These data are then loaded to an Oracle database and subject to quality control tests. Soil volumetric water content data are derived from 30 minute hydrometeorological data and data from the cosmic-ray sensing probe by python scripts run every hour and at the end of the day a daily value is calculated.  The data are calculated using the method outlined in Evans et al. (2016). Potential evapotranspiration data are derived by python scripts at the end of the day from the hydrometeorological data according to the Penman-Monteith method (FAO 56).
See supporting documentation for further information.
DOI: 10.5285/f5e7e03c-ecf3-4455-8567-e1ad8daa66ee
title: Photosynthesis data for the plant species Calluna vulgaris, Vaccinium myrtillus and Empetrum nigrum at the Climoor field site in Clocaenog Forest

description: This dataset includes measurements of photosynthesis for the dominant higher plant species in the experimental plots at the Climoor field site in Clocaenog Forest. Plant species included are Calluna vulgaris, Vaccinium myrtillus and Empetrum nigrum. Ambient light measurements are included as well as light response curve measurements. Data was collected infrequently between 2001-2003 for Calluna and Vaccinium, and just in 2001 for Empetrum. 
description: Photosynthesis was measured infrequently between 2001 and 2003 for Calluna vulgaris and Vaccinium myrtillus, and in 2001 for Empetrum nigrum. A standard leaf cuvette with light source was used in addition to a CIRAS-2 infra-red gas analyser from PP Systems (UK). Measurements were taken with the light source (to standardise between variability across treatments, as well as to determine light response curves). Measurements were also recorded in ambient light. Two of the 3 plant species have three dimensional leaves, and so data on leaf mass is included to standardise between different sized leaves (determining leaf area is not possible currently for three dimensional leaves). Data is recorded in the CIRAS in the field, and downloaded into excel files which were stored in CEH Bangor's shared file area.
DOI: 10.15156/bio/sh0169969.10fu
title: SH0169969.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.