cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.16835009
title: Data on early changes in aboveground carbon stocks, plant litter decomposition and soil properties following heather moorland cutting and prescribed burning

description: Data gathered in a field study comparing the initial effects of burning moorland vegetation and two different methods of heather cutting – robotic cutting and brush cutting - on plant carbon stocks, plant litter decomposition rates, and soil properties at two heather-dominated moorland sites in northeast Scotland, UK.

The study has been published in Fielding, D, Pakeman R.J., Newey, S and Smith S.W. 2025. The impact of moorland cutting and prescribed burning on early changes in aboveground carbon stocks, plant litter decomposition and soil properties, Ecological Solutions and Evidence (in press). 

The work was funded by the Scottish Government's Rural and Environmental Science and Analytical Services as part of the 2022–2027 Strategic Research Programme (JHI-D4-4).

Data files contain explanatory meta file sheets and raw data used in the study. A brief description of each data file is below:  

biomass_carbon_nitrogen.xlsx – vegetation biomass, carbon and nitrogen concentration of plant biomass collected after vegetation treatments. 

deployment_ids.xlsx – deployment identifiers in relation to sample point within plots of deployment of lollipop sticks, litterbags, nutrient probes, biomass samples, and ibutton temperature loggers.

green_teabags.xlsx – green tea litter bag weights before and after incubation and decomposition. 

ibuttons_edited_in_excel.xlsx – temperature data from ibutton temperature loggers.

green_teabags.xlsx – green tea litter bag weights before and after incubation. 

lolly_sticks.xlsx – wooden lollipop sticks weights before and after incubation and decomposition. 

prs_probes_with_Nas.xlsx – post treatment soil nutrient concentrations from Plant Root Simulator (PRS®) probes provided by Western Ag, USA (https://www.westernag.ca/).

rooibos_teabags.xlsx - rooibos tea litter bag weights before and after incubation and decomposition.

site_treatment_details.xlsx – location, site, year, season and treatment type applied to different plots. 

visit_dates.xlsx – visit dates to plots to collect litterbags, lollipop sticks, probes and loggers.
DOI: 10.5281/zenodo.16835010
title: Data on early changes in aboveground carbon stocks, plant litter decomposition and soil properties following heather moorland cutting and prescribed burning

description: Data gathered in a field study comparing the initial effects of burning moorland vegetation and two different methods of heather cutting – robotic cutting and brush cutting - on plant carbon stocks, plant litter decomposition rates, and soil properties at two heather-dominated moorland sites in northeast Scotland, UK.

The study has been published in Fielding, D, Pakeman R.J., Newey, S and Smith S.W. 2025. The impact of moorland cutting and prescribed burning on early changes in aboveground carbon stocks, plant litter decomposition and soil properties, Ecological Solutions and Evidence (in press). 

The work was funded by the Scottish Government's Rural and Environmental Science and Analytical Services as part of the 2022–2027 Strategic Research Programme (JHI-D4-4).

Data files contain explanatory meta file sheets and raw data used in the study. A brief description of each data file is below:  

biomass_carbon_nitrogen.xlsx – vegetation biomass, carbon and nitrogen concentration of plant biomass collected after vegetation treatments. 

deployment_ids.xlsx – deployment identifiers in relation to sample point within plots of deployment of lollipop sticks, litterbags, nutrient probes, biomass samples, and ibutton temperature loggers.

green_teabags.xlsx – green tea litter bag weights before and after incubation and decomposition. 

ibuttons_edited_in_excel.xlsx – temperature data from ibutton temperature loggers.

green_teabags.xlsx – green tea litter bag weights before and after incubation. 

lolly_sticks.xlsx – wooden lollipop sticks weights before and after incubation and decomposition. 

prs_probes_with_Nas.xlsx – post treatment soil nutrient concentrations from Plant Root Simulator (PRS®) probes provided by Western Ag, USA (https://www.westernag.ca/).

rooibos_teabags.xlsx - rooibos tea litter bag weights before and after incubation and decomposition.

site_treatment_details.xlsx – location, site, year, season and treatment type applied to different plots. 

visit_dates.xlsx – visit dates to plots to collect litterbags, lollipop sticks, probes and loggers.
DOI: 10.3535/6xm-v49-7lz
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/pjl-ll6-p1g
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.7efxaw
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cuthona perca",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 51 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019693-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/08h-am2-4px
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/nm1-6rv-fx4
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.17630/32a82d0d-e1f0-4f02-9758-799e8b1ec826
title: From Plastic Waste to Pharmaceutical Precursors: PET Upcycling Through Ruthenium Catalyzed Semi-Hydrogenation (dataset)

description: The folder named 'DFT raw data' contains log and xyz files for the prediction of CEST NMR chemical shifts of ruthenium complexes.
The folder named 'DSC' contains pdfs showing differential scanning calorimetry traces for the synthesized polyesters. Differential Scanning Calorimetry (DSC) analyses were performed using a Netzsch DSC204 between -40–300 or 600 °C at a heating rate of 10 °C/min under a flow of nitrogen gas (20 mL/min) after an
initial heat/cool cycle (25–300 °C at 10 °C/min) to remove the thermal history of the sample.

The folder named TGA contains text, excel and png files describing thermogravimetric data for the polyesters produced as well as commercially available PET. Thermogravimetric Analysis (TGA) was performed using Stanton Redcroft STA-780 Series Thermal Analyser between 30–900 °C at a heating rate of 10 °C/min under a flow of nitrogen gas (25 mL/min).

The folder named 'ESI-MS' contains pdfs describing the mass spectrometry data for the ruthenium complexes formed during the catalyst speciation study. ESI-MS data were collected as solutions in acetonitrile using a Micromass LCT spectrometer.

The folder named IR contains excel, text and png files describing the IR spectra of polyester formed as well as the products from the hydrogenative depolymerisation studies. Infrared spectra (ATR-FTIR) were collected using a Shimadzu IRAffinity-1.

The folder named NMR contains png and fid files from the catalytic optimisation reactions described in the paper and ESI. NMR spectra were recorded on a Bruker AVIII 500 MHz or AV 400 MHz NMR spectrometer at 298 K unless otherwise specified. Residual protons of solvent were used as a reference for 1H NMR spectra in deuterated solvent samples.

The folder named 'mechanical properties' contains word and origin files showing stress-strain data for the formed polyesters.

The folder named 'X-ray' contains word and cif for the single-crystal structure of the ruthenium complex reported in the paper.
The folder named 'LCA' contains pdf, and ppt files for the life cycle assessment study reported in the paper.
DOI: 10.15468/dl.rb9erv
title: Occurrence Download

description: A dataset containing 101 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cullenia ceylanica (Gardner) Wight ex K.Schum."
 ]
}

 The dataset includes 101 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014163-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gxex8k
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054277-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.neurb4
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Calidota laqueata Edwards, 1887"
 ]
}

 The dataset includes 25 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0190513-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zf3u9m
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Croton bastardii Leandri"
 ]
}

 The dataset includes 29 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014210-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fmtrr9
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Didasys belae Grote, 1875"
 ]
}

 The dataset includes 18 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0190531-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mugpnm
title: Occurrence Download

description: A dataset containing 1007036180 species occurrences available in GBIF matching the query:
{ }

 The dataset includes 1007036180 records from 20139 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039624-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ze26dv
title: Occurrence Download

description: A dataset containing 44177 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Nocardioides Prauser, 1976"
 ]
}

 The dataset includes 44177 records from 480 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003654-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xfp7ed
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Boana cinerascens)",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077590-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nxgfhc
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhododendron celebicum"
 ]
}

 The dataset includes 53 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077591-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jhsp8n
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cestrum nocturnum",
 "Country is Samoa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077592-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1404125.10fu
title: SH1404125.10FU

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: 10.15156/bio/sh1404126.10fu
title: SH1404126.10FU

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: 10.15156/bio/sh1404127.10fu
title: SH1404127.10FU

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: 10.15156/bio/sh1404128.10fu
title: SH1404128.10FU

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: 10.15156/bio/sh1404129.10fu
title: SH1404129.10FU

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: 10.15156/bio/sh1404130.10fu
title: SH1404130.10FU

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: 10.15156/bio/sh1404131.10fu
title: SH1404131.10FU

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: 10.15156/bio/sh1404132.10fu
title: SH1404132.10FU

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: 10.15156/bio/sh1404133.10fu
title: SH1404133.10FU

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.