cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.kq9gck
title: Occurrence Download

description: A dataset containing 21108 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "TaxonKey is one of (Diceros bicornis (Linnaeus, 1758), Ceratotherium simum (Burchell, 1817), Lycaon pictus (Temminck, 1820), Canis simensis Rüppell, 1840, Pan troglodytes (Blumenbach, 1775), Equus grevyi Oustalet, 1882, Gorilla beringei Matschie, 1903, Acinonyx jubatus (Schreber, 1775), Loxodonta africana (Blumenbach, 1797), Giraffa camelopardalis (Linnaeus, 1758), Hippopotamus amphibius Linnaeus, 1758, Choeropsis liberiensis (Morton, 1849), Panthera pardus (Linnaeus, 1758), Panthera leo (Linnaeus, 1758), Camelopardalis giraffa Schreber, 1784)",
 "Year 2020-2025"
 ]
}

 The dataset includes 21108 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025760-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48510/fk2/gzbt9c
title: Urine miRNA and Blood Full Transcriptome Expression and Clinical Data in Febrile Children with Bacterial or Viral Infections

description: The main goal of the study was to investigate the diagnostic potential of urine miRNA signatures to distinguish bacterial and viral infections in paediatric patients. Urine and blood samples were collected from paediatric patients from the Children’s Clinical University Hospital (Riga, Latvia) aged one month to 18 years with fever and confirmed bacterial or viral infections, as well as aged-matched controls with no signs of infection. Using small RNA sequencing data, we identified a miRNA profile capable of differentiating these infections with feature selection methods, including penalised logistic regression and ANOVA. Additionally, we integrated these findings with differential expression (DE) mRNA analysis to connect blood and urine transcriptomes, offering novel insights into disease mechanisms.
description: miRDeep2, 0.1.2 (for miRNA data)
description: STAR, 2.7.8a (for mRNA data)
description: R, 4.3.2
DOI: 10.7488/ds/7870
title: Synaptic expression of SV2A in mouse and human brain
title: SV2A is expressed in synapse subpopulations in mouse and human brain: implications for PET radiotracer studies

description: Synapse pathology is a feature of most brain diseases and there is a pressing need to monitor the onset and progression of this pathology using brain imaging in living patients. A major step toward this goal has been the development of small-molecule radiotracers that bind to synaptic vesicle glycoprotein 2A (SV2A) for use in positron emission tomography (PET). Changes in SV2A radiotracer binding in PET are widely interpreted to report differences in the density of all synapses throughout brain regions. Here, we analyse the expression of SV2A at single-synapse resolution across regions of adult mouse and human brain. We find that SV2A is expressed in fewer than 50% of excitatory and inhibitory synapses and that the density of SV2A-positive synapses differs between brain regions. Furthermore, individual synapses differ in their amounts of SV2A. These findings have important implications for the interpretation of PET imaging studies in a clinical setting and point to the need for a detailed understanding of SV2A synaptome architecture in both healthy brain and disease cases where PET imaging is being applied.
DOI: 10.5519/qd.qq9tp4i7
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (151 records)
DOI: 10.5519/qd.ri4lltew
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (151 records)
DOI: 10.15468/dl.v6s5vb
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mauritania",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Vulpes zerda (Zimmermann, 1780)"
 ]
}

 The dataset includes 64 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025764-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14865033
title: The Effect of Greenwashing on Boycott Intention and Negative Word-of-Mouth: The Moderating Role of Environmental Concern
DOI: 10.5281/zenodo.14865034
title: The Effect of Greenwashing on Boycott Intention and Negative Word-of-Mouth: The Moderating Role of Environmental Concern
DOI: 10.5281/zenodo.14863403
title: Data from Phenocam (PHE) measurements at Paris – Romainville (PAROMA) from 2024-01-01 to 2024-12-31 [RAW]

description: Original phenocam images separated into near-infrared (NIR) and visible (VIS).
description: TECHNICAL INFO

Files were submitted and recorded as part of the global Phenocam Network with the site name "romainville". Access to the "romainville" phenocam on the global phenocam network through: https://phenocam.nau.edu/webcam/sites/romainville/

Files are organised in sub-directories per year and month of the year.

LICENSE

Creative Commons Attribution 4.0 International. 

Please read the Phenocam Fair Use Policy.

ATTRIBUTION NOTICE

The [creation and] curation of this work has been funded by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 855005).

Data were managed and attributed by the PhenoCam Network, which has been supported by the National Science Foundation, the Long-Term Agroecosystem Research (LTAR) network which is supported by the United States Department of Agriculture (USDA), the U.S. Department of Energy, the U.S. Geological Survey, the Northeastern States Research Cooperative, and the USA National Phenology Network. 

DISCLAIMER NOTICE

The use of the work is at the user's own risk. The authors, the involved institutions, and/or the European Research Council accept no liability for material or non-material damage arising from the use or non-use or from the use of incorrect or incomplete information in this work. The authors, the involved institutions, and/or the European Research Council are not responsible for any use that may be made of the information in this work. The legal provisions remain unaffected.

MATERIAL NOTICE

The notices cover data in databases, text and images contained in the work.

MATERIAL URI

Urbisphere project

Global Phenocam Network
DOI: 10.5281/zenodo.14863404
title: Data from Phenocam (PHE) measurements at Paris – Romainville (PAROMA) from 2024-01-01 to 2024-12-31 [RAW]

description: Original phenocam images separated into near-infrared (NIR) and visible (VIS).
description: TECHNICAL INFO

Files were submitted and recorded as part of the global Phenocam Network with the site name "romainville". Access to the "romainville" phenocam on the global phenocam network through: https://phenocam.nau.edu/webcam/sites/romainville/

Files are organised in sub-directories per year and month of the year.

LICENSE

Creative Commons Attribution 4.0 International. 

Please read the Phenocam Fair Use Policy.

ATTRIBUTION NOTICE

The [creation and] curation of this work has been funded by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 855005).

Data were managed and attributed by the PhenoCam Network, which has been supported by the National Science Foundation, the Long-Term Agroecosystem Research (LTAR) network which is supported by the United States Department of Agriculture (USDA), the U.S. Department of Energy, the U.S. Geological Survey, the Northeastern States Research Cooperative, and the USA National Phenology Network. 

DISCLAIMER NOTICE

The use of the work is at the user's own risk. The authors, the involved institutions, and/or the European Research Council accept no liability for material or non-material damage arising from the use or non-use or from the use of incorrect or incomplete information in this work. The authors, the involved institutions, and/or the European Research Council are not responsible for any use that may be made of the information in this work. The legal provisions remain unaffected.

MATERIAL NOTICE

The notices cover data in databases, text and images contained in the work.

MATERIAL URI

Urbisphere project

Global Phenocam Network
DOI: 10.15468/dl.zthbz7
title: Occurrence Download

description: A dataset containing 380 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is United States of America",
 "Geometry POLYGON((-76.17594 37.01128,-78.63214 36.77575,-97.37331 31.89699,-96.12838 27.69117,-77.38722 28.90244,-76.17594 37.01128))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pinus palustris Mill.",
 "Year 1960-2025"
 ]
}

 The dataset includes 380 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025767-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.34j9n8
title: Occurrence Download

description: A dataset containing 453 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((48 22,62 22,62 30,48 30,48 22))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Animalia",
 "WaterBody is one of (Oman Gulf, Persian Gulf, Persian Gulf (Arabian Gulf), Persian Gulf, Arabian Sea, Indian Ocean, Oman gulf, Persian Gulf, Indian Ocean)"
 ]
}

 The dataset includes 453 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025768-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yesxhd
title: Occurrence Download

description: A dataset containing 312 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Mauritania, Egypt, Western Sahara, Morocco, Tunisia, Algeria, Chad, Sudan)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Vulpes zerda (Zimmermann, 1780)"
 ]
}

 The dataset includes 312 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025769-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f6dfef
title: Occurrence Download

description: A dataset containing 11882 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cerdocyon thous (Linnaeus, 1766)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 11882 records from 328 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025771-250127130748423/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/10740989
title: Trending Youtube Video Statistics (113 Countries)
DOI: 10.15468/dl.gsxjre
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Hong Kong",
 "Geometry POLYGON((111.72168 21.22713,116.92404 21.22713,116.92404 23.30623,111.72168 23.30623,111.72168 21.22713))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Rhinotermitidae"
 ]
}

 The dataset includes 7 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025772-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28408646
title: Morphology and fractal dimension of real-world soot particles from vehicular emissions in three contrasting urban tunnels

description: Data from Figures 2, 3, 4 and 5 in the article "Morphology and fractal dimension of real-world soot particles from vehicular emissions in three contrasting urban tunnels"
DOI: 10.15468/dl.5zj2b7
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chinese Taipei",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Stylotermitidae"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025773-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ud8ek5
title: Occurrence Download

description: A dataset containing 231 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Fossil, Living Specimen)",
 "OccurrenceStatus is Present",
 "TaxonKey is Zygomycota"
 ]
}

 The dataset includes 231 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025775-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8swtdg
title: Occurrence Download

description: A dataset containing 131 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Egypt",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Vulpes zerda (Zimmermann, 1780)"
 ]
}

 The dataset includes 131 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025778-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.85a499
title: Occurrence Download

description: A dataset containing 11882 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cerdocyon thous (Linnaeus, 1766)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 11882 records from 328 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025779-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.68vqgp
title: Occurrence Download

description: A dataset containing 199182 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Living Specimen, Occurrence evidence)",
 "TaxonKey is Globularia L."
 ]
}

 The dataset includes 199182 records from 761 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025758-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2twkvw
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "Geometry POLYGON((-83.33428 36.11267,-63.50754 36.11267,-63.50754 51.99447,-83.33428 51.99447,-83.33428 36.11267))",
 "HasGeospatialIssue is false",
 "TaxonKey is Plebejus saepiolus (Boisduval, 1852)",
 "Year 1973-1974"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025780-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rysrew
title: Occurrence Download

description: A dataset containing 558168 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Solanum dulcamara L."
 ]
}

 The dataset includes 558168 records from 2585 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025756-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0196514.10fu
title: SH0196514.10FU

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/sh0196515.10fu
title: SH0196515.10FU

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/sh0196516.10fu
title: SH0196516.10FU

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/e242874
title: Al-Hikmah University, Ilorin 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

description: Al-Hikmah University, Ilorin 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: 10.15156/bio/sh0196517.10fu
title: SH0196517.10FU

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/sh0196518.10fu
title: SH0196518.10FU

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/sh0196519.10fu
title: SH0196519.10FU

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.