cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0202971.10fu
title: SH0202971.10FU

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/sh0202972.10fu
title: SH0202972.10FU

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/sh0202973.10fu
title: SH0202973.10FU

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/sh0202974.10fu
title: SH0202974.10FU

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/sh0202975.10fu
title: SH0202975.10FU

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/sh0202976.10fu
title: SH0202976.10FU

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/sh0202977.10fu
title: SH0202977.10FU

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/sh0202978.10fu
title: SH0202978.10FU

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/sh0202979.10fu
title: SH0202979.10FU

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: 10.3886/e242959
title: Skyline University, Kano 2026/27 JUPEB/IJMB Form is out ☎️(08039478772) DR MERCY☎️ (+23408039478772) Direct-Entry Form, Transfer Form, Change of institution form, Change of Course form, Post graduate Diploma form, Masters form

description: Skyline University, Kano 2026/27 JUPEB/IJMB Form is out ☎️(08039478772) DR MERCY☎️ (+23408039478772) Direct-Entry Form, Transfer Form, Change of institution form, Change of Course form, Post graduate Diploma form, Masters form, Phd form call ☎️(+23408039478772) for more inquiry and admission assistance.
DOI: 10.15468/dl.43wrch
title: Occurrence Download

description: A dataset containing 939 species occurrences available in GBIF matching the query:
{
 "and" : [
 "InstitutionKey is ae1380be-d358-4a85-a5ff-8a527908a96e",
 "OccurrenceStatus is Present",
 "TaxonKey is Ceratina Latreille, 1802"
 ]
}

 The dataset includes 939 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005130-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7by3qt
title: Occurrence Download

description: A dataset containing 1652 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eucalyptus deglupta Blume"
 ]
}

 The dataset includes 1652 records from 101 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009788-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a9qqwf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is 519076",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009792-250402121839773/datasets/export for details.
DOI: 10.15468/dl.6cqjre
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is 434751",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009791-250402121839773/datasets/export for details.
DOI: 10.15468/dl.dh759y
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is 438150",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009790-250402121839773/datasets/export for details.
DOI: 10.5281/zenodo.15172175
title: POPC membrane simulated with Slipids/CHARMM36 hybrid topology

description: Simulations with a hybrid POPC topology. Tails are from Slipids and glycerol and headgroup from CHARMM36. 

BSc thesis project.
DOI: 10.5281/zenodo.15172176
title: POPC membrane simulated with Slipids/CHARMM36 hybrid topology

description: Simulations with a hybrid POPC topology. Tails are from Slipids and glycerol and headgroup from CHARMM36. 

BSc thesis project.
DOI: 10.6084/m9.figshare.28748399
title: All original image data.rar

description: All original image data for manuscript <b>RERE-AS1 in Breast Cancer: A Key Regulator of Tumor Progression and Immune Evasion</b>
DOI: 10.15468/dl.f6f7at
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "Geometry POLYGON((-102 -26,106 -26,106 28,-102 28,-102 -26))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Abutilon theophrasti Medik."
 ]
}

 The dataset includes 18 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009795-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e7sc3p
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is 148252",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009794-250402121839773/datasets/export for details.
DOI: 10.15468/dl.dejpts
title: Occurrence Download

description: A dataset containing 1172 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Eucalyptus deglupta Blume"
 ]
}

 The dataset includes 1172 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009796-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bjenvm
title: Occurrence Download

description: A dataset containing 77 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is South Africa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Calotropis procera (Aiton) W.T.Aiton"
 ]
}

 The dataset includes 77 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009797-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13846276
title: Fast label-free live imaging reveals key roles of flow dynamics and CD44-HA interaction in cancer cell arrest on endothelial monolayers

description: This repository contains raw data files, statistical summaries, original and edited images and videos used for the manuscript: 

Fast label-free live imaging reveals key roles of flow dynamics and CD44-HA interaction in cancer cell arrest on endothelial monolayers.

doi: https://doi.org/10.1101/2024.09.30.615654

Gautier Follain1,2, Sujan Ghimire2*, Joanna W Pylvänäinen2,3*, Monika Vaitkevičiūtė1,2,3, Diana Wurzinger2, Camilo Guzmán4, James RW Conway5, Michal Dibus1, Sanna Oikari6, Kirsi Rilla6, Marko Salmi3,7,8, Johanna Ivaska1,3,9-11#, Guillaume Jacquemet1,2,3,12#.





Turku Bioscience Centre, University of Turku and Åbo Akademi University, FI-20520 Turku, FI




Faculty of Science and Engineering, Cell Biology, Åbo Akademi University, FI-20520 Turku, FI




InFLAMES Research Flagship Center, University of Turku and Åbo Akademi University, 20520 Turku, FI.




Euro-BioImaging ERIC, Turku, FI




Department of Biochemistry and Developmental Biology, Faculty of Medicine, University of Helsinki, Helsinki, FI.




Institute of Biomedicine, University of Eastern Finland, 70211 Kuopio, FI




Institute of Biomedicine, University of Turku, Turku, FI




MediCity Research Laboratory, University of Turku, Turku, FI




Department of Life Technologies, University of Turku, 20520 Turku, FI.




Western Finnish Cancer Center (FICAN West), University of Turku, 20520 Turku, FI. 




Foundation for the Finnish Cancer Institute, Tukholmankatu 8, 00014 Helsinki, FI




Turku Bioimaging, University of Turku and Åbo Akademi University, FI- 20520 Turku, FI
DOI: 10.5281/zenodo.15118251
title: FlowVision reveals key roles of flow dynamics and CD44-HA interaction in cancer cell arrest on endothelial monolayers

description: This repository contains raw data files, statistical summaries, original and edited images and videos used for the manuscript: 

FlowVision reveals key roles of flow dynamics and CD44-HA interaction in cancer cell arrest on endothelial monolayers

doi: https://doi.org/10.1101/2024.09.30.615654

Gautier Follain1,2, Sujan Ghimire2*, Joanna W Pylvänäinen2,3*, Monika Vaitkevičiūtė1,2,3, Diana Wurzinger2, Camilo Guzmán4, James RW Conway5, Michal Dibus1, Sanna Oikari6, Kirsi Rilla6, Marko Salmi3,7,8, Johanna Ivaska1,3,9-11#, Guillaume Jacquemet1,2,3,12#.





Turku Bioscience Centre, University of Turku and Åbo Akademi University, FI-20520 Turku, FI




Faculty of Science and Engineering, Cell Biology, Åbo Akademi University, FI-20520 Turku, FI




InFLAMES Research Flagship Center, University of Turku and Åbo Akademi University, 20520 Turku, FI.




Euro-BioImaging ERIC, Turku, FI




Department of Biochemistry and Developmental Biology, Faculty of Medicine, University of Helsinki, Helsinki, FI.




Institute of Biomedicine, University of Eastern Finland, 70211 Kuopio, FI




Institute of Biomedicine, University of Turku, Turku, FI




MediCity Research Laboratory, University of Turku, Turku, FI




Department of Life Technologies, University of Turku, 20520 Turku, FI.




Western Finnish Cancer Center (FICAN West), University of Turku, 20520 Turku, FI. 




Foundation for the Finnish Cancer Institute, Tukholmankatu 8, 00014 Helsinki, FI




Turku Bioimaging, University of Turku and Åbo Akademi University, FI- 20520 Turku, FI
DOI: 10.5281/zenodo.15119238
title: Fast label-free live imaging reveals key roles of flow dynamics and CD44-HA interaction in cancer cell arrest on endothelial monolayers

description: This repository contains raw data files, statistical summaries, original and edited images and videos used for the manuscript: 

Fast label-free live imaging reveals key roles of flow dynamics and CD44-HA interaction in cancer cell arrest on endothelial monolayers

doi: https://doi.org/10.1101/2024.09.30.615654

Gautier Follain1,2, Sujan Ghimire2*, Joanna W Pylvänäinen2,3*, Monika Vaitkevičiūtė1,2,3, Diana Wurzinger2, Camilo Guzmán4, James RW Conway5, Michal Dibus1, Sanna Oikari6, Kirsi Rilla6, Marko Salmi3,7,8, Johanna Ivaska1,3,9-11#, Guillaume Jacquemet1,2,3,12#.





Turku Bioscience Centre, University of Turku and Åbo Akademi University, FI-20520 Turku, FI




Faculty of Science and Engineering, Cell Biology, Åbo Akademi University, FI-20520 Turku, FI




InFLAMES Research Flagship Center, University of Turku and Åbo Akademi University, 20520 Turku, FI.




Euro-BioImaging ERIC, Turku, FI




Department of Biochemistry and Developmental Biology, Faculty of Medicine, University of Helsinki, Helsinki, FI.




Institute of Biomedicine, University of Eastern Finland, 70211 Kuopio, FI




Institute of Biomedicine, University of Turku, Turku, FI




MediCity Research Laboratory, University of Turku, Turku, FI




Department of Life Technologies, University of Turku, 20520 Turku, FI.




Western Finnish Cancer Center (FICAN West), University of Turku, 20520 Turku, FI. 




Foundation for the Finnish Cancer Institute, Tukholmankatu 8, 00014 Helsinki, FI




Turku Bioimaging, University of Turku and Åbo Akademi University, FI- 20520 Turku, FI
DOI: 10.15468/dl.8yyww6
title: Occurrence Download

description: A dataset containing 769 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Eucalyptus deglupta Blume"
 ]
}

 The dataset includes 769 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009798-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j6jkfg
title: Occurrence Download

description: A dataset containing 872 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cynodon nlemfuensis Vanderyst)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 872 records from 111 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009800-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nxutk5
title: Occurrence Download

description: A dataset containing 769 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Eucalyptus deglupta Blume"
 ]
}

 The dataset includes 769 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009799-250402121839773/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/11321504
title: ⏳ endoflife.date database (duckdb)