cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0059118.10fu
title: SH0059118.10FU

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/sh0059119.10fu
title: SH0059119.10FU

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/sh0059120.10fu
title: SH0059120.10FU

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/sh0059121.10fu
title: SH0059121.10FU

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/sh0059122.10fu
title: SH0059122.10FU

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.jc78p5
title: Occurrence Download

description: A dataset containing 61039 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Erynnis tages",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 5000",
 "Year is greater than or equal to 1970",
 "Country is one of (Italy, Switzerland, Germany, Austria, Slovenia, France)"
 ]
}

 The dataset includes 61039 records from 915 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075947-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15746941
title: Dataset of microbial genes related to Nitrogen cycle of pasture soil with 15N isotope

description: Dataset of microbial genes abundances related to Nitrogen cycle of pasture soil. This dataset contain the pedological condition of sample, considering also 15N isotope, and microbial gene abundances of 16S (general abundances of bacteiral communities), nifH (free Nitrogen fixation), nirK (intermediate step of denitrification), nosZ (total denitrification), amoA archea/bacteria (first step of nitrification) This dataset was used in the article: https://doi.org/10.1071/CP24156.

This study was funded by the European Union - NextGenerationEU, in the framework of the iNEST - Interconnected Nord-Est Innovation Ecosystem (iNEST ECS00000043 – C43C22000340006). The views and opinions expressed are solely those of the authors and do not necessarily reflect those of the European Union, nor can the European Union be held responsible for them. The dataset was developed as part of the activities carried out by Spoke 1, Research Topic 2 (Resilience of Mountain Production Systems and Supply Chains), Task S1_RT2.1 (Agroecology indicators (tool) to favour agro-ecological transition of mountain farms).
DOI: 10.5281/zenodo.15746942
title: Dataset of microbial genes related to Nitrogen cycle of pasture soil with 15N isotope

description: Dataset of microbial genes abundances related to Nitrogen cycle of pasture soil. This dataset contain the pedological condition of sample, considering also 15N isotope, and microbial gene abundances of 16S (general abundances of bacteiral communities), nifH (free Nitrogen fixation), nirK (intermediate step of denitrification), nosZ (total denitrification), amoA archea/bacteria (first step of nitrification) This dataset was used in the article: https://doi.org/10.1071/CP24156.

This study was funded by the European Union - NextGenerationEU, in the framework of the iNEST - Interconnected Nord-Est Innovation Ecosystem (iNEST ECS00000043 – C43C22000340006). The views and opinions expressed are solely those of the authors and do not necessarily reflect those of the European Union, nor can the European Union be held responsible for them. The dataset was developed as part of the activities carried out by Spoke 1, Research Topic 2 (Resilience of Mountain Production Systems and Supply Chains), Task S1_RT2.1 (Agroecology indicators (tool) to favour agro-ecological transition of mountain farms).
DOI: 10.6084/m9.figshare.29413442
title: Emerging Evidence on Workplace Interventions and Strategies to Support and Facilitate the Wellbeing of Frontline Healthcare Workers During Health Crisis Events: A Rapid Scoping Review Protocol

description: <b>Abstract:</b><b>Objective: </b>The objective of this rapid review is to identify and map the state of emerging evidence and lessons learnt on interventions and strategies to support and facilitate the well-being of frontline healthcare workers during health emergencies, with a specific focus on evidence which has emerged since 2020, including evidence related to interventions during the covid-19 pandemic and mpox outbreaks.<b>Introduction:</b> Frontline healthcare professionals may be at an elevated risk of experiencing negative impacts upon their wellbeing and resilience associated with their workplace environments when responding to health crisis events. There is potential scope for organisational interventions within the workplace to contribute to increasing or maintaining staff wellbeing and/or reducing harms to frontline staff responding to health crisis events. However, the strength of evidence-base to support evidence-informed interventions in this area has historically been poor; as concluded by a 2020 Cochrane Review (Pollock et al. 2020) on this subject. However, since that review was conducted, significant attention to the mental health of healthcare workers and the emergence of multiple public health emergencies of international concern are likely to have led to the emergence of new insights into interventions with impacts upon frontline healthcare workers’ psychosocial experiences and system resilience. Consequently, this review will seek to understand the state of emerging evidence in this area; focusing on evidence emerging from interventions related to public health emergencies of international concern and outbreak responses to WHO R&D Blueprint pathogens with pandemic or epidemic potential, with a focus on reports of interventions published in 2020 or later.<b>Inclusion criteria: </b>This rapid review focuses on interventions and strategies with impacts upon the wellbeing and psychosocial resilience of frontline healthcare workers responding to public health emergencies of international concern and outbreaks of priority pathogens with pandemic or epidemic potential. Frontline healthcare workers working in primary, secondary, tertiary or community health settings are included where these workers perform ‘body work’ in the course of their duties.<b>Methods:</b> The methods utilised in this rapid review have been adapted Joanna Briggs Institute guidance for scoping reviews. We will search CENTRAL, MEDLINE (PubMed); EMBASE; PsychINFO; and CINAHL (EBSCO). Results will be screened in Covidence and data will be analysed in Microsoft Excel. Articles for inclusion will be limited to those published in English or French.<b>Keywords: </b>Frontline healthcare worker; workplace interventions; workforce resilience; infectious disease outbreaks; health emergencies
DOI: 10.6084/m9.figshare.29413442.v1
title: Emerging Evidence on Workplace Interventions and Strategies to Support and Facilitate the Wellbeing of Frontline Healthcare Workers During Health Crisis Events: A Rapid Scoping Review Protocol

description: <b>Abstract:</b><b>Objective: </b>The objective of this rapid review is to identify and map the state of emerging evidence and lessons learnt on interventions and strategies to support and facilitate the well-being of frontline healthcare workers during health emergencies, with a specific focus on evidence which has emerged since 2020, including evidence related to interventions during the covid-19 pandemic and mpox outbreaks.<b>Introduction:</b> Frontline healthcare professionals may be at an elevated risk of experiencing negative impacts upon their wellbeing and resilience associated with their workplace environments when responding to health crisis events. There is potential scope for organisational interventions within the workplace to contribute to increasing or maintaining staff wellbeing and/or reducing harms to frontline staff responding to health crisis events. However, the strength of evidence-base to support evidence-informed interventions in this area has historically been poor; as concluded by a 2020 Cochrane Review (Pollock et al. 2020) on this subject. However, since that review was conducted, significant attention to the mental health of healthcare workers and the emergence of multiple public health emergencies of international concern are likely to have led to the emergence of new insights into interventions with impacts upon frontline healthcare workers’ psychosocial experiences and system resilience. Consequently, this review will seek to understand the state of emerging evidence in this area; focusing on evidence emerging from interventions related to public health emergencies of international concern and outbreak responses to WHO R&D Blueprint pathogens with pandemic or epidemic potential, with a focus on reports of interventions published in 2020 or later.<b>Inclusion criteria: </b>This rapid review focuses on interventions and strategies with impacts upon the wellbeing and psychosocial resilience of frontline healthcare workers responding to public health emergencies of international concern and outbreaks of priority pathogens with pandemic or epidemic potential. Frontline healthcare workers working in primary, secondary, tertiary or community health settings are included where these workers perform ‘body work’ in the course of their duties.<b>Methods:</b> The methods utilised in this rapid review have been adapted Joanna Briggs Institute guidance for scoping reviews. We will search CENTRAL, MEDLINE (PubMed); EMBASE; PsychINFO; and CINAHL (EBSCO). Results will be screened in Covidence and data will be analysed in Microsoft Excel. Articles for inclusion will be limited to those published in English or French.<b>Keywords: </b>Frontline healthcare worker; workplace interventions; workforce resilience; infectious disease outbreaks; health emergencies
DOI: 10.5281/zenodo.15746891
title: Dataset of microbial genes related to Nitrogen cycle of pasture soil

description: Dataset of microbial genes abundances related to Nitrogen cycle of pasture soil. This dataset contain the pedological condition of sample and microbial gene abundances of 16S (general abundances of bacteiral communities), nifH (free Nitrogen fixation), nirK (intermediate step of denitrification), nosZ (total denitrification), amoA archea/bacteria (first step of nitrification) This dataset was used in the article: https://doi.org/10.1071/CP24156.

This study was funded by the European Union - NextGenerationEU, in the framework of the iNEST - Interconnected Nord-Est Innovation Ecosystem (iNEST ECS00000043 – C43C22000340006). The views and opinions expressed are solely those of the authors and do not necessarily reflect those of the European Union, nor can the European Union be held responsible for them. The dataset was developed as part of the activities carried out by Spoke 1, Research Topic 2 (Resilience of Mountain Production Systems and Supply Chains), Task S1_RT2.1 (Agroecology indicators (tool) to favour agro-ecological transition of mountain farms).
DOI: 10.5281/zenodo.15746892
title: Dataset of microbial genes related to Nitrogen cycle of pasture soil

description: Dataset of microbial genes abundances related to Nitrogen cycle of pasture soil. This dataset contain the pedological condition of sample and microbial gene abundances of 16S (general abundances of bacteiral communities), nifH (free Nitrogen fixation), nirK (intermediate step of denitrification), nosZ (total denitrification), amoA archea/bacteria (first step of nitrification) This dataset was used in the article: https://doi.org/10.1071/CP24156.

This study was funded by the European Union - NextGenerationEU, in the framework of the iNEST - Interconnected Nord-Est Innovation Ecosystem (iNEST ECS00000043 – C43C22000340006). The views and opinions expressed are solely those of the authors and do not necessarily reflect those of the European Union, nor can the European Union be held responsible for them. The dataset was developed as part of the activities carried out by Spoke 1, Research Topic 2 (Resilience of Mountain Production Systems and Supply Chains), Task S1_RT2.1 (Agroecology indicators (tool) to favour agro-ecological transition of mountain farms).
DOI: 10.25549/pcra-c14-152460
title: Suchasnaia religiinasts = Modern religion, 1930

description: [description english/roman)] S.IA. Volfson. Suchasnaia religiinasts: pavodle matar'ialau dasledvannia u BSSR. (Belaruskaia Akademiia Navuk: Katedra Marksyzmu-Leninizmu, pratsu. vup. 1). Vudanne BAN, 1930. = C.J. Wolfson. Modern religion: according to research in the BeloUSSRn SSR. (Belarusian Academy of Sciences: Department of Marxism-Leninism, 1). Minsk, Belarus: Edition BAN, 1930.
DOI: 10.15468/dl.9s2q77
title: Occurrence Download

description: A dataset containing 8169589 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is UK Butterfly Monitoring Scheme (UKBMS)",
 "TaxonKey is Lepidoptera"
 ]
}

 The dataset includes 8169589 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000909-230918134249559/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-1158
title: Maiak = [Lighthouse], vol. 13, no. 8 (1935)

description: [description english/roman)] Monthly
DOI: 10.15468/dl.5pk96b
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "Geometry POLYGON((108.68774 20.1709,118.46558 20.1709,118.46558 27.92725,108.68774 27.92725,109.70398 23.99414,108.68774 20.1709))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Euryodendron excelsum Hung T.Chang"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0148087-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-1249
title: Maiak = [Lighthouse], vol. 14, no. 2 (1936)

description: [description english/roman)] Monthly
DOI: 10.15468/dl.skek4p
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "Geometry POLYGON((108.68774 20.1709,118.46558 20.1709,118.46558 27.92725,108.68774 27.92725,109.70398 23.99414,108.68774 20.1709))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Begonia coptidifolia H.G.Ye, F.G.Wang, Y.S.Ye & C.I Peng"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0148088-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.upvwtb
title: Occurrence Download

description: A dataset listing the 366 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((120 -22,138 -22,138 -6,120 -6,120 -22))",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Philydraceae, Peraceae, Punicaceae, Proteaceae, Primulaceae, Potamogetonaceae, Portulacaceae, Pontederiaceae, Polygalaceae, Polemoniaceae, Podostemaceae, Plumbaginaceae, Pittosporaceae, Picrodendraceae, Phytolaccaceae, Pentaphylacaceae, Pentaphragmataceae, Pedaliaceae, Passifloraceae, Papaveraceae, Pandaceae)"
 ]
}

 The dataset's 366 records were derived from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000926-230918134249559/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-1093
title: Maiak = [Lighthouse], vol. 13, no. 3 (1935)

description: [description english/roman)] Monthly
DOI: 10.15468/dl.n4bwf6
title: Occurrence Download

description: A dataset containing 19491 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Vicia onobrychioides L., Coronilla valentina L., Delairea odorata Lem.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 19491 records from 217 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0148103-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ja7ub2
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ficus virens Dryand., 1789",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002553-230918134249559/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-1252
title: Maiak = [Lighthouse], vol. 14, no. 2 (1936)

description: [description english/roman)] Monthly
DOI: 10.15468/dl.emyftp
title: Occurrence Download

description: A dataset containing 9491 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Canna indica L.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 9491 records from 412 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036113-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8k6spm
title: Occurrence Download

description: A dataset containing 19216 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Delairea odorata Lem., Paronychia kapela (Hacq.) A.Kern., Tamarindus indica L.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 19216 records from 436 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0148104-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-15077
title: Druzheskoe slovo = Palavra do amigo = [A friendly word], vol. 8, no. 5 (May 1935)

description: [description english/roman)] Monthly
DOI: 10.15468/dl.5vnkuh
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is one of (France, Switzerland, Austria, Sweden)",
 "TaxonKey is Cheilosia alpestris (Becker, 1894)"
 ]
}

 The dataset includes 27 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000912-230918134249559/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.