cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5285/0e2bbef4-47db-43dc-849b-c7ce49d5bcec
title: Ecosystem functions and vegetation data for Winklebury Hill, Salisbury Plain, UK in 2015

description: This dataset contains vegetation survey data, and nitrate and ammonium concentrations, nitrification and mineralisation rates, microbial biomass and carbon and nitrogen stock data from soils taken from an experiment based at Winklebury Hill, UK. The vegetation survey comprises total species percentage cover and species richness data from four 50 cm by 50 cm quadrats. Net ecosystem carbon dioxide exchange, photosynthesis and respiration data were measured with an Infra-red Gas Analyser (IRGA); methane, carbon dioxide and nitrous oxide data were measured using gas chromatography; nitrate and ammonium from soil samples extracted with potassium chloride; carbon and nitrogen from soils extracted with water; and carbon and nitrogen stocks measured through combustion analysis. The experiment used seeds and plug plants to create different plant communities on the bare chalk on Winklebury Hill and tested the resulting carbon and nutrient cycling rates and compared these to the characteristics of different plant functional groups. The experiment ran from 2013 to 2015 and this dataset contains data from 2015 only. This experiment was part of the Wessex BESS project, a six-year (2011-2017) project aimed at understanding how biodiversity underpins the ecosystem functions and services that landscapes provide.
description: For greenhouse gas exchange flux, a time series correlation was calculated and low correlations removed (<70%). Outliers were also removed at the beginning and end of sample where appropriate. Calibrations at two levels were done for methane gas flux (at 14, and 33 ppm), carbon dioxide gas flux (at 500 and 1000 ppm) and nitrous oxide gas flux (at 200 and 370 ppm). For soil extractable nitrate and ammonium using potassium chloride and water, the analysis used 5% analytical replicates, recalibration (at 5, 4, 3, 2 and 1 ppm) and blanks every 20 samples. For carbon and nitrogen extracted from ground soil extracts standards (acetanilide) and blanks were run every 20 samples. Standardised protocols were followed in all cases, details of which can be found in the supporting documentation.
DOI: 10.5285/1a278fbf-b8b2-472d-9100-5fb432095f63
title: Biomass data from Sourhope field experiment site, Scotland, 1999-2002 [NERC Soil Biodiversity Programme]

description: The data set comprises biomass values and mineral nutrient values from experimental plots located at Sourhope, Scotland.  On five occasions throughout each of the 1999, 2000, 2001 and 2002 growing seasons, grass cuttings were collected from a 50 x 50 cm cell area from each of the four main sub-plots within each of a set of experimental main-plots, and biomass values calculated. In addition, mineral nutrient analysis was carried out for the July 1999 grass cuttings.  The work was part of the NERC Soil Biodiversity Thematic Programme, which was established in 1999 and was centred upon the intensive study of a large field experiment located at the Macaulay Land Use Research Institute (now the James Hutton Institute) farm at Sourhope in the Scottish Borders (Grid reference: NT 8545 1963).  During the experiment, the site was monitored to assess changes in above-ground biomass production (productivity), species composition and relative abundance (diversity). 

The primary aims of the Programme were to achieve simultaneously an understanding of the biological diversity of the soil biota and the functional roles played by soil organisms in key ecological processes. In seeking to achieve these aims, 24 separate research projects were funded to study soil structure, soil processes (such as the carbon and nitrogen cycles) and the roles of micro-fauna and flora (Bacteria, Nematoda, Protozoa and Fungi), microarthropods (including Collembola and Acari), invertebrate root feeders (Tipulid, Bidionid and Scarabeid larvae), meso-fauna (such as Enchytraeidae) and macro-fauna (including Megadrili, Mollusca and Coleoptera).
description: Data were collected as part of the NERC Soil Biodiversity Thematic Programme, which was established in 1999 and was centred upon the intensive study of a large field experiment located at the Macaulay Land Use Research Institute (MLURI) (now the James Hutton Institute) farm at Sourhope in the Scottish Borders (Grid reference: NT 8545 1963).  Data were collected by staff employed by MLURI and were managed by the Centre for Ecology & Hydrology.
DOI: 10.5285/1ed2ab55-0688-4513-be9a-f9f0f21d2788
title: Behavioural experiments in the laboratory with stickleback fish - Fish learning data

description: Data are of speed and accuracy of decision making in stickleback fish of different personalities. A laboratory population of three-spined sticklebacks (Gasterosteus aculeatus) were repeatedly tested in a T-maze. The work was carried out between March 2012 and February 2013 at The Structure and Motion Laboratory, Royal Veterinary College. The work was funded by a BBSRC studentship, NERC ( grant NE/H016600/2 Does diversity deliver? How variation in individual knowledge and behavioural traits impact on the performance of animal groups) and The Royal Society (RG 110401) All animal care and experimental procedures described here were approved as non-regulatory procedures by the Ethics and Welfare Committee of the Royal Veterinary College, London (URN 2011 1084).
description: A laboratory population of three-spined sticklebacks (Gasterosteus aculeatus) were repeatedly tested in a T-maze, constructed out of opaque gray plastic with 3 arms a start maze and binary choice, one of which contained a food reward. Panasonic HDC-SD60 high-definition video cameras, each mounted directly above mazes, were used to record speed and accuracy of decision making in stickleback fish of different personalities. All animal care and experimental procedures described here were approved as non-regulatory procedures by the Ethics and Welfare Committee of the Royal Veterinary College, London (URN 2011 1084).
DOI: 10.5285/9d63e68b-2499-40fb-b05b-4fa2a55399fc
title: Microsatellite genotypes of the freshwater bryozoan species Cristatella mucedo and Fredericella sultana

description: This dataset contains genotypes (in three digit-format) for unique clones of the freshwater bryozoan species Cristatella mucedo and Fredericella sultana at microsatellite loci and representing sampling sites across the UK.  Cristatella mucedo data additionally covers Northern Ireland.
description: Data has been generated using Sanger ABI-Prism 3130XL Genetic Analyzer and calling in base pairs (bp) the microsatellite fragments targeted via PCR amplification. The sequencing has been carried out at the core lab facility at the Natural History Museum of London (UK).
DOI: 10.5285/a13d5821-824f-41ba-a930-26a5f0f4d2a6
title: Climate suitability for Phytophthora ramorum and Phytophthora kernoviae infection in the UK

description: These spatial layers map the suitability of climate conditions for infection of Phytophthora ramorum and Phytophthora kernoviae across the UK. The model is based on laboratory data of environmental responses of these pathogens and hourly temperature and relative humidity regimes between 2007 and 2011, and focuses on how many times infection could have been completed within running 48 hour periods through the year. Average suitability of conditions are mapped for the whole period and for individual years from 2007 to 2011. This research was funded by the Scottish Government under research contract CR/2008/55, 'Study of the epidemiology of Phytophthora ramorum and Phytophthora kernoviae in managed gardens and heathlands in Scotland' and involved collaborators from St Andrews University, Science and Advice for Scottish Agriculture (SASA), Scottish Natural Heritage (SNH), Forestry Commission, the Food and Environment Research Agency (FERA) and the Centre for Ecology & Hydrology (CEH). This dataset forms part of a series.
description: Laboratory data of environmental responses of Phytophthora ramorum and Phytophthora kernoviae was provided by FERA and hourly temperature and relative humidity gridded data was provided by the UK Met Office. Additional maps of quarterly suitability and for the period from 2012 to 2014 are available on request to point of contact. Daniel Chapman (NERC Centre for Ecology & Hydrology) and Massimo Vieno (NERC Centre for Ecology & Hydrology) provided invaluable help with setting up the climate algorithm.
DOI: 10.5285/343885af-0f5e-4062-88e1-a9e612f77779
title: CMIP5 GCM-based monthly patterns of local meteorological change, per degree of mean land warming, for driving the IMOGEN impacts model

description: This dataset consists of monthly spatial patterns of meteorological change for 34 Global Circulation Models (GCMs). The patterns are a set of regression coefficients, each representing the change per degree of mean global warming over land, for the corresponding meteorological variable. The meteorological variables analysed for each GCM include: surface temperature change per degree global warming (K K-1); surface relative humidity change per degree global warming (percentage of K-1); wind change per degree global warming (m s-1 K-1); longwave change per degree global warming (W m-2 K 1); shortwave change per degree global warming (W m-2 K-1); precipitation change per degree global warming (mm day-1 K-1) and pressure change per degree global warming (hPa K-1).

The supporting information document associated with this metadata includes parameters for an energy balance model (IMOGEN EBM) that calculates the amount of global warming. Each GCM output has been re-mapped on to UKMO-HadCM3 grid, with resolution of 3.75° longitude and 2.5° latitude; this produces a surface spatial resolution of about 417 km E-W x 278 km N-S, reducing to 295 km E-W x 278 km N-S at 45° North and South. This corresponds to 1631 land points, each of which has a row in the provided data files.

The data presented here is calibration of IMOGEN EBM parameters and patterns against 34 GCMs in the Coupled Model Intercomparison Project phase 5 (CMIP5) GCM ensemble.

Further information about the dataset and its derivation can be found in Comyn-Platt, E. et al. (2018). 'Carbon budgets for 1.5 and 2 °C targets lowered by natural wetland and permafrost feedbacks'. Nature Geoscience. http://doi.org/10.1038/s41561-018-0174-9
description: The pattern-scaling set is derived from 34 global circulation models (GCM) of the World Climate Research Programme's (WCRP's) Coupled Model Intercomparison Project phase 5 (CMIP5) multi-model dataset. For each GCM emulated, regression is performed for each meteorological variable, each month and each grid box against global mean warming over land. 

The calibration against CMIP5 models has full numerical code documentation, traceability on demand and with scripts utilising open-access software. This meets the ISO standards for numerical model building and is available on request to Chris Huntingford.
DOI: 10.5285/87281ce8-6fb3-40c8-89de-0c476d84b110
title: Indicators of stress in three-spined stickleback fish from downstream of wastewater treatment works in the north west of England 

description: These data were collected from three-spined sticklebacks (Gasterosteus aculeatus L.) sampled at sites downstream of wastewater treatment works (WWTWs), and at sites with no identifiable WWTW input, in the north west of England.   For fish captured at each site, data include fish characteristics (weight, length, condition factor and sex).   Additionally, indicators of stress (whole-body concentrations of cortisol, cortisol released to water, and whole-body glucose concentrations) were quantified in order to assess the status of the stress axis in individuals immediately following capture (unstressed - baseline cortisol and glucose) and after a short period of confinement (stressed - elevated cortisol and glucose). 

The data were collected as part of a study conducted to evaluate whether the complex chemical milieu present in rivers downstream of WWTWs, one of the most abundant point-sources of aquatic pollutants in UK waters, can affect the functioning of the stress axis in fish.  Sampling was conducted during 2011, 2013 and 2014 by the Centre for Ecology & Hydrology.
description: The fish were captured with a a metal-framed 45 cm D-profile hand net, then processed and analysed at the Centre for Ecology & Hydrology, Lancaster. See supporting documentation for further information.
DOI: 10.5285/1d16b303-ca1d-43b4-93b1-c8172adc9792
title: Simulated peat heights and water-table depths for UK blanket bog

description: These data are the simulated peat heights and water-table depths (both in cm) from a DigiBog  run. The virtual peatland was configured as a 2-D transect of 100 x 2m x 2m columns. The data were generated for each year of a 5,100-year run. After 4,900 years, six ditches were added and the model allowed to run for a further 100 years. After this time, the ditches were ‘restored’ and the simulation continued until a total runtime of 5,100 years had elapsed.
description: The virtual peatland was set up with driving data and an underlying topography to represent a typical UK blanket peatland. The aim of the simulation was not to replicate peatland development at a specific location, but to create an analogue for blanket peat.
DOI: 10.5285/94aef007-634e-42db-bc52-9aae86adbd33
title: UK Environmental Change Network (ECN) woodland vegetation data: 1993-2014

description: Woodland vegetation data from the UK Environmental Change Network (ECN) terrestrial sites. These data are collected at all of ECN's terrestrial sites using a standard protocol (see Supporting documentation). This survey is conducted when plots surveyed during the coarse-grain survey fall in woodland. Seedlings, diameter at breast height (dbh), height and species dominance are recorded within a surrounding 10m x 10m plot. 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 at all of ECN's terrestrial sites using a standard protocol (see supporting documentation). This survey is conducted when plots surveyed during the coarse-grain survey fall in woodland. Seedlings, diameter at breast height (dbh), height and species dominance are recorded within a surrounding 10m x 10m plot. 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/be3793b6-90fb-4e4c-9515-220cc33223b9
title: Soil aggregate stability data from arable and grassland in Countryside Survey, Great Britain 2007 

description: This dataset consists of Particle Size Distribution (PSD) measurements made on 419 archived topsoil samples and derived aggregate stability metrics from arable and grassland habitats across Great Britain in 2007. Laser granulometry was used to measure PSD of 1–2 mm aggregates before and after sonication and the difference in their Mean Weight Diameter (MWD) used to indicate aggregate stability. The samples were collected as part of the Countryside Survey monitoring programme, a unique study or ‘audit’ of the natural resources of the UK’s countryside. The analyses were conducted as part of study aiming to quantify how soil quality indicators change across a gradient of agricultural land management and to identify conditions that determine the ability of different soils to resist and recover from perturbations.
description: Soil samples were collected in 2007 by Countryside Survey field surveyors, who were provided with a field sampling manual and underwent training for sample collection and processing. Protocols were also provided to cover all aspects of processing of the soil cores from logging in of cores as they arrived at the laboratory to basic measurements, chemical analysis and archiving the final samples. Soils were sieved to 2 mm and air-dried before storage. 
Pre-measurements were made on samples to determine the best aggregate masses to use for fine, medium and coarse texture soils; this obscuration values. During PSD analyses, a reference soil was analysed in each batch of measurements. Two standard particle size materials were also used throughout the series of analyses to check for accuracy and precision of the PSD measurements by the Laser granulometer instrument.
DOI: 10.15468/dl.8zsp5k
title: Occurrence Download

description: A dataset containing 522399 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "TaxonKey is one of (Lynx lynx, Sus scrofa)"
 ]
}

 The dataset includes 522399 records from 3012 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031249-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f4zcvu
title: Occurrence Download

description: A dataset containing 1287 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Elymandra Stapf"
 ]
}

 The dataset includes 1287 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001229-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.snz8jn
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Orectolobus floridus Last & Chidlow, 2008"
 ]
}

 The dataset includes 22 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001231-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cc9ym6
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Rhododendron chunienii Chun & W.P.Fang"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001230-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hc5qg6
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Rhododendron fuchsiifolium H.Lév."
 ]
}

 The dataset includes 17 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001233-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5064/f6g2petf/fswmfl
title: Moore-et-al_OK_1220_OK_1220_2020 Global Messages.pdf
DOI: 10.5064/f6g2petf/n2n3af
title: Moore-et-al_PA_1220_2020-PAHAN-541- HCP Post Vaccine IPC.pdf
DOI: 10.15468/dl.f5kwnk
title: Occurrence Download

description: A dataset containing 881 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Megathyrsus maximus",
 "GadmGid is one of (USA.6_1, USA.17_1, USA.27_1, USA.28_1, USA.32_1, USA.35_1, USA.37_1, USA.42_1, USA.44_1, USA.51_1)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Human Observation, Machine Observation)"
 ]
}

 The dataset includes 881 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008931-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5064/f6g2petf/o3vnqy
title: Moore-et-al_SD_0821_Pregnancy & Early Childhood News _ South Dakota Department of Health.pdf
DOI: 10.5064/f6g2petf/v9hboc
title: Moore-et-al_OH_0521_Ohio's Mass Vaccination Clinic in Cleveland to Offer Johnson & Johnson Vaccine Next Week _ Governor Mike DeWine.pdf
DOI: 10.5064/f6g2petf/h4axih
title: Moore-et-al_OR_0821_SEIU_vaccine_mandate_LOA.pdf
DOI: 10.5064/f6g2petf/kywfn7
title: Moore-et-al_OH_0521_COVID-19 Update - May 13, 2021 _ COVID-19.pdf
DOI: 10.5064/f6g2petf/8vxydh
title: Moore-et-al_TX_0121_Electronic Data Exchange and Promoting Interoperability for Public Health _ Texas DSHS.pdf
DOI: 10.15468/dl.zf96r7
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "Geometry POLYGON ((-73.173752 45.53377, -73.124313 45.53377, -73.124313 45.569832, -73.173752 45.569832, -73.173752 45.53377))",
 "TaxonKey is Tracheophyta",
 "Year is greater than 2010",
 "GadmGid is CAN.11_1",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "DatasetKey is one of (Herbier Louis-Marie (QFA) - Collection de plantes vasculaires, Herbier du Québec (QUE) - Collection de plantes vasculaires, Jardin botanique de Montréal (JBM), Marie-Victorin Herbarium (MT) - Plantes vasculaires, National Collection of Vascular Plants (DAO), UQTR-herbarium (Herbier Estelle-Lacoursière))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 41 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008929-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5064/f6g2petf/dd4bbh
title: Moore-et-al_PA_0321_PA Interim Vaccine Plan V.8.pdf
DOI: 10.5064/f6g2petf/kjz4du
title: Moore-et-al_TX_0821_Paxton Successfully Sues Vaccine-Mandating School District _ Office of the Attorney General.pdf