cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0026031.10fu
title: SH0026031.10FU

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: 10.3535/42d-1dx-bsj
title: Myriophyllum alterniflorum DC.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/tly-cd7-n35
title: Myriophyllum alterniflorum DC.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0026032.10fu
title: SH0026032.10FU

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: 10.3535/67c-epz-6t3
title: Hippuris vulgaris L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/vm2-zv0-4er
title: Hippuris vulgaris L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0026033.10fu
title: SH0026033.10FU

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: 10.3535/6qb-fa5-1wg
title: Myriophyllum alterniflorum DC.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/svf-8ys-410
title: Myriophyllum alterniflorum DC.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0026034.10fu
title: SH0026034.10FU

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/sh0026035.10fu
title: SH0026035.10FU

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.zcfy52
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Araucaria araucana",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is Chile",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2010"
 ]
}

 The dataset includes 56 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075097-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/09q-y8f-34z
title: Myriophyllum alterniflorum DC.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/xe5-jg9-nlz
title: Myriophyllum alterniflorum DC.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0026036.10fu
title: SH0026036.10FU

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: 10.3535/ccs-cvr-332
title: Myriophyllum alterniflorum DC.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/kew-0ba-k2v
title: Myriophyllum alterniflorum DC.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/xsb-d78-1n5
title: Myriophyllum alterniflorum DC.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0026037.10fu
title: SH0026037.10FU

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: 10.3535/2av-zzl-492
title: Myriophyllum alterniflorum DC.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/f3f-01x-txr
title: Hippuris vulgaris L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.5281/zenodo.14986448
title: CMIP6 input data usage information for IPCC WGI AR6 figure 6.21

description: The record contains information on input dataset usage and citation information from the WCRP Coupled Model Intercomparison Project Phase 6 (CMIP6) for the generation of figure 6.21 of the Sixth Assessment Report of Working Group I of the Intergovernmental Panel on Climate Change (IPCC AR6 WGI). CMIP6 data that were used as input to this figure follow the Data Reference Syntax. Persistent Identifiers (PIDs) for data identification (provenance) are available for individual datasets as Handle IDs. DOIs for data citation are available on the following dataset collections: CMIP6 DOIs contain all datasets provided by an Earth System model to a CMIP6 experiment. The data subsets of CMIP6 dataset collections used in the IPCC AR6 WGI have DOIs at this granularity of a model contribution to an experiment. The AR6 subset DOIs are included because they reside in a long-term preservation archive hosted by the IPCC Data Distribution Centre (DDC).

The uploaded human-readable csv file provides a list of datasets/Handle IDs used for the generation of this figure grouped by the corresponding dataset collections they belong to. The machine-actionable json-ld file describes the record as Complex Citation Object (see Agarwal et al., 2024, https://doi.org/10.5281/zenodo.14106602) in a preliminary standard, using the following vocabulary to specify the different functions of the contained Linked Digital Objects: Credit (input dataset collection to be cited/to which credit is to be assigned), Provenance (dataset contributing information to the generation of the DataProduct), archivedAt (dataset collection with long-term preservation), DigitalDocument (referenced papers containing further information), DataProduct (generated final dataset), ImageObject (visualization of the DataProduct), SoftwareSourceCode (software applied to generate the DataProduct), Chapter (IPCC AR6 WGI chapter in which the DataProduct is used/referenced).

Use and cite this record when referring to the generation of IPCC WGI AR6 figure 6.21.
DOI: 10.15468/dl.psfv4f
title: Occurrence Download

description: A dataset containing 77809 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Dianthus armeria L.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 77809 records from 1288 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007764-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/11386131
title: e-IPO Indonesia Data - Investment
DOI: 10.5281/zenodo.13945707
title: Test dataset for "Spatial Integration of Multi-Omics Data from Serial Sections using the novel Multi-Omics Imaging Integration Toolset"

description: The uploaded tar file contains anonymized and reduced test data for the paper "Spatial Integration of Multi-Omics Data from Serial Sections using the novel Multi-Omics Imaging Integration Toolset". (doi: https://doi.org/10.1101/2024.06.11.598306; https://github.com/mwess/miit)

Dataset description:- 9 serial histology sections with the following stains: (HES, HE, HES, HES, HES, MTS, IHC, IHC, HES)- Sections are indexed in the following way (due to some sections not being part of this project): 1,2,3,6,7,8,9,10,11- Each serial section contains:   - landmarks with matching labels across all sections.  - semi-manually generated tissue masks - Section 2 contain spatial transcriptomics data and one annotation file in geojson format.- Sections 6 and 7 contain imzml data that were generated with MALDI-MSI in positive ion mode (section 6) and negative ion mode (section 7) and additional histology annotations.- MALDI-MSI is reduced. The positive ion data contains only intensities and spectra for spermine. The negative ion mode data contains only intensities and spectra for citrate and zinc.- ST data contains only locations of spots and scalefactors. (I.e. no count data is included.). Barcode ids are randomly generated. - In addition, for each ST spot histopathological annotations and GSEA scores for the Citrate-Spermine Secretion gene signature are provided.

Abbreviations:

- HES = Hematoxylin-Erythrosine-Saffron- HE = Hematoxylin-Eosin- MTS = Masson's Trichrome Staining- IHC = Immunohistochemistry- ST = Spatial Transcriptomics, here refers to Visium10X arrays.- MALDI-MSI = Matrix-Assisted Laser Desorption Ionization - Mass Spectrometry Imaging.
DOI: 10.5281/zenodo.14931377
title: Test dataset for "Spatial Integration of Multi-Omics Data from Serial Sections using the novel Multi-Omics Imaging Integration Toolset"

description: The uploaded tar file contains anonymized and reduced test data for the paper "Spatial Integration of Multi-Omics Data from Serial Sections using the novel Multi-Omics Imaging Integration Toolset". (doi: https://doi.org/10.1101/2024.06.11.598306; https://github.com/mwess/miit)

Dataset description:- 9 serial histology sections with the following stains: (HES, HE, HES, HES, HES, MTS, IHC, IHC, HES)- Sections are indexed in the following way (due to some sections not being part of this project): 1,2,3,6,7,8,9,10,11- Each serial section contains:   - landmarks with matching labels across all sections.  - semi-manually generated tissue masks - Section 2 contain spatial transcriptomics data and one annotation file in geojson format.- Sections 6 and 7 contain imzml data that were generated with MALDI-MSI in positive ion mode (section 6) and negative ion mode (section 7) and additional histology annotations.- MALDI-MSI is reduced. The positive ion data contains only intensities and spectra for spermine. The negative ion mode data contains only intensities and spectra for citrate and zinc.- ST data contains only locations of spots and scalefactors. (I.e. no count data is included.). Barcode ids are randomly generated. - In addition, for each ST spot histopathological annotations and GSEA scores for the Citrate-Spermine Secretion gene signature are provided.

Abbreviations:

- HES = Hematoxylin-Erythrosine-Saffron- HE = Hematoxylin-Eosin- MTS = Masson's Trichrome Staining- IHC = Immunohistochemistry- ST = Spatial Transcriptomics, here refers to Visium10X arrays.- MALDI-MSI = Matrix-Assisted Laser Desorption Ionization - Mass Spectrometry Imaging.
DOI: 10.15468/dl.xj6ujr
title: Occurrence Download

description: A dataset listing the 637 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-57.73942 -25.7307,-57.76819 -25.75337,-57.77487 -25.75816,-57.78867 -25.76238,-57.79768 -25.75918,-57.80262 -25.75628,-57.81832 -25.75133,-57.82689 -25.75918,-57.82268 -25.77008,-57.82122 -25.77444,-57.81628 -25.78417,-57.80117 -25.80408,-57.79405 -25.82094,-57.72271 -25.81178,-57.73128 -25.77139,-57.7137 -25.7246,-57.63704 -25.67034,-57.61533 -25.65354,-57.60356 -25.61925,-57.61503 -25.61402,-57.61983 -25.61751,-57.62811 -25.61736,-57.64555 -25.60792,-57.65296 -25.59818,-57.664 -25.59571,-57.67577 -25.59993,-57.67635 -25.61606,-57.67316 -25.63524,-57.66996 -25.65122,-57.67432 -25.65994,-57.68333 -25.66197,-57.6919 -25.66066,-57.70294 -25.65354,-57.71728 -25.65,-57.72856 -25.6466,-57.73859 -25.64943,-57.74862 -25.66243,-57.75364 -25.67316,-57.75874 -25.68391,-57.76586 -25.69336,-57.76252 -25.70556,-57.75613 -25.70978,-57.74857 -25.70934,-57.73811 -25.70789,-57.72939 -25.70905,-57.72707 -25.71399,-57.72895 -25.7198,-57.73942 -25.7307))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 637 records were derived from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000201-250226125047203/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14931620
title: trachyglanis_intermedius_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.14931621
title: trachyglanis_intermedius_decontaminated_FSCR.fasta.gz
DOI: 10.26007/1fxm-cr40
title: Reference Files Used in Calibrating Data from the New Horizons (NH) Solar Wind Around Pluto (SWAP) Electrostatic Instrument, Version 1.0

description: This is the cumulative set of ancillary files (background, response functions, 
 field of view mask, energy bins) used in calibrating the data sets delivered by 
 the Solar Wind Around Pluto (SWAP) instrument over the course of the New Horizons 
 (NH) primary and extended missions.
DOI: 10.26007/g424-6m13
title: New Horizons Kuiper Belt Extended Mission KEM1 Encounter Mission Phase Solar Wind Around Pluto Data Summary Plots, Version 1.0

description: Data summary plots of the solar wind encountered by the New Horizons (NH) Solar Wind 
 Around Pluto (SWAP) instrument during the the time period of the first Kuiper Belt 
 Extended Mission KEM1 Encounter Mission Phase. The data includes SWAP observations 
 and plasma rolls in the approach and departure of Arrokoth. A gain test was also 
 performed. The data are summarized as plots covering both 1-day, 10-day, 
 25-day, 100-day, and annual increments in time. The plots compose images, and 
 the images are provided in Portable Network Graphic (PNG) format.
DOI: 10.6084/m9.figshare.28498132
title: Petrogenesis and tectonic setting of the high-Al chromitites and associated peridotites in the Kudi ophiolite, NW Tibetan Plateau

description: Tables S1–S9, major and trace element compositions
DOI: 10.6084/m9.figshare.28498132.v1
title: Petrogenesis and tectonic setting of the high-Al chromitites and associated peridotites in the Kudi ophiolite, NW Tibetan Plateau

description: Tables S1–S9, major and trace element compositions
DOI: 10.5281/zenodo.14929934
title: Harp: Platform Independent Deconvolution Tool

description:  

Harp is a tool that estimates reference profiles and cell compositions for deconvolution of bulk transcriptomic data.

 

For evaluation the performance of Harp against other deconvolution tools we employed real bulk expression data (RNA-seq and microarray), along with their corresponding cell compositions from flow cytometry experiment as well as cell expression profiles measured through sorted RNA-seq and microarray technology.

 

These datasets contain combined processed  RNA-seq, flow cytometry and microarray expression data that were utilized in the Harplication package, which applies the Harp algorithm along other deconvolution tools.

 



The original datasets are derived from the following studies:






Bulk RNA-seq expression with paired flow cytometry from Zimmermann et al., 2016. The datasets were received via SDY67.



Sorted RNA-seq expression data from Monaco et al., 2019 , available on NCBI under GEO accession number GSE107011.


Microarray gene expression data from Newman et al., 2015, available on NCBI under GEO accession number GSE65133.

Flow cytometry data from Newman et al., 2015, was received from the analysis of Vallania et al., 2018, also available on GSE65133.

Microarray based reference from Newman et al., 2015, available on CIBERSORTx.



 

 This project has received funding from





The European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement No 860003.

 Bundesministerium für Bildung und Forschung (BMBF, German Federal Ministry of Education and Research) [031L0173].
DOI: 10.17032/shu-0000000226
title: The blurred line in elite sport: Exploring UK media reporting of bullying and banter

description: In recent years there has been an increasing interest in the concepts of bullying and banter within both sport research and media reporting. However, at present, research has not explored reports of bullying and banter within the UK sport media This is a potential omission, as the media may provide important conceptual information about bullying and banter to those outside of the academic domain. Therefore, the present study sought to understand how banter and bullying are framed by the UK sport media and how these concepts have been distinguished from one another. Guided by a pragmatist approach, 85 print and broadcast media articles were analysed from The Times, The Telegraph, Daily Mail, The Sun, The Guardian, British Broadcasting Company (BBC) and Sky Sports News (SNN). Through an abductive thematic analysis, the findings highlighted several themes around the media’s view of bullying. The media differentiated bullying and banter through the tipping point between these concepts and a misinterpretation of jokes and banter. The present study contributed to the current research on bullying and banter by analysing the media’s perspectives of the concepts. Overall, the findings outline the contemporary understanding of bullying in sport, whilst highlighting the significant influence the media has in shaping the discussion around banter in this context.
DOI: 10.5281/zenodo.14931634
title: xyleborus_bispinatus_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.14931635
title: xyleborus_bispinatus_decontaminated_FSCR.fasta.gz