cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.12554259
title: Characterisation results of nano electrode array (NEA) and control microelectrode arrays.

description: This dataset contains characterisation results of 3 control chips and 3 nano electrode array (NEA) chips. The data includes measurements of noise and gain attributed only to circuitry, as well as noise, impedance, and attenuation attributed to the microelectrodes and nano electrodes.

Measurements were taken using on-chip circuitry. Electrode-related noise, impedance, and attenuation were measured under wet conditions using a saline solution.

The dataset is organised in an Excel file with multiple tabs corresponding to the different characterisation parameters:



Noise attributed to circuitry ("Dry_noise")

Gain attributed to circuitry ("Dry_gain")

Noise attributed to the micro- and nano-electrodes ("Wet_noise")

Impedance attributed to the micro- and nano-electrodes ("Impedance")

Attenuation attributed to the micro- and nano-electrodes ("Attenuation")


Each tab features 3 columns with data from the control chips and 3 columns with data from the NEA chips.
DOI: 10.15468/dl.cyzg6p
title: Occurrence Download

description: A dataset containing 170 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Balaenoptera acutorostrata Lacépède, 1804",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 170 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011887-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6ycwnq
title: Occurrence Download

description: A dataset containing 70 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is CHN.19_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Reaumuria songarica (Pall.) Maxim."
 ]
}

 The dataset includes 70 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011889-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jw2vzs
title: Occurrence Download

description: A dataset containing 5363 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Fauna Íctica Nativa Continental de Chile"
 ]
}

 The dataset includes 5363 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011890-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q6x8fz
title: Occurrence Download

description: A dataset containing 363 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Chinese Taipei)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Coptodon zillii (Gervais, 1848)"
 ]
}

 The dataset includes 363 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011891-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6qaed5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Balaena cuvierii (Fischer, 1829)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011892-240626123714530/datasets/export for details.
DOI: 10.15468/dl.d62y5w
title: Occurrence Download

description: A dataset containing 1488 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "TaxonKey is Conopidae"
 ]
}

 The dataset includes 1488 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011893-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5258/soton/d2907
title: Dataset supporting the University of Southampton Doctoral Thesis "Social trust in property ownership: a study in the kingdom of Saudi Arabia"

description: Dataset supporting the University of Southampton Doctoral Thesis "Social trust in property ownership: a study in the kingdom of Saudi Arabia". 

The dataset is a iUML-B based formal model of the process of ownership. It includes a zipped file:
OwnershipModelling.zip

The data is accessible under CC BY license.
DOI: 10.15468/dl.p26e9s
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Balaenoptera bonaerensis Burmeister, 1867",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011894-240626123714530/datasets/export for details.
DOI: 10.15468/dl.rcgwys
title: Occurrence Download

description: A dataset containing 5363 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Fauna Íctica Nativa Continental de Chile"
 ]
}

 The dataset includes 5363 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011895-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dzwhx8
title: Occurrence Download

description: A dataset containing 342 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eopsetta grigorjewi (Herzenstein, 1890)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 342 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011896-240626123714530/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.26180341
title: Supplementary material 1; Supplementary material 2; Supplementary material 3 from Evolutionary drivers of sex-specific parasite prevalence in wild birds

description: Supplementary methods and additional information; Publication list where data was extracted; Supplementary tables S1-S4
DOI: 10.6084/m9.figshare.26180341.v1
title: Supplementary material 1; Supplementary material 2; Supplementary material 3 from Evolutionary drivers of sex-specific parasite prevalence in wild birds

description: Supplementary methods and additional information; Publication list where data was extracted; Supplementary tables S1-S4
DOI: 10.6084/m9.figshare.26180346
title: Table S3 M4 Seamount absolute quantitative data DCM layer co-occurrence network node table with ASV taxonomic annotation information from Enhanced nutrient supply promotes mutualistic interactions between cyanobacteria and bacteria in oligotrophic ocean

description: Cyanobacteria can form complex interactions with heterotrophic microorganisms, but this relationship is susceptible to nutrient concentrations. Disentangling the cyanobacteria-bacteria interactions in relation to nutrient supply is essential to understanding their roles in geochemical cycles under global change. We hypothesize that enhanced nutrient supply in oligotrophic oceans can promote interactions among cyanobacteria and bacteria. Therefore, we investigated the planktonic bacteria and their interactions with cyanobacteria in relation to elevated nutrients caused by enhanced upwelling around a shallow and a deep seamount in the tropical western Pacific Ocean. We found obviously higher complexity of network occurred with significantly more cyanobacteria in the deep chlorophyll maximum (DCM) layer of shallow seamount when compared to that of deep seamount. Cyanobacteria can shape bacterial interaction and community evenness in response to relatively high nutrient concentrations. The effects of the nutrients on cyanobacteria-related networks were further estimated based on the <i>Tara</i> Oceans data. Statistical analyses further showed a facilitative effect of nitrate concentrations on cyanobacteria-bacteria mutualistic interactions in the global oligotrophic ocean. By analysing the <i>Tara</i> Ocean macrogenomic data, we detected functional genes related to cyanobacteria-bacteria interactions in all samples, indicating the existence of a mutualistic relationship. Our results reveal the cyanobacteria-bacteria interaction in response to nutrient elevation in oligotrophic ocean and highlight the potentially negative effects of global change on the bacterial community from the views of the bio-interaction.
DOI: 10.6084/m9.figshare.26180346.v1
title: Table S3 M4 Seamount absolute quantitative data DCM layer co-occurrence network node table with ASV taxonomic annotation information from Enhanced nutrient supply promotes mutualistic interactions between cyanobacteria and bacteria in oligotrophic ocean

description: Cyanobacteria can form complex interactions with heterotrophic microorganisms, but this relationship is susceptible to nutrient concentrations. Disentangling the cyanobacteria-bacteria interactions in relation to nutrient supply is essential to understanding their roles in geochemical cycles under global change. We hypothesize that enhanced nutrient supply in oligotrophic oceans can promote interactions among cyanobacteria and bacteria. Therefore, we investigated the planktonic bacteria and their interactions with cyanobacteria in relation to elevated nutrients caused by enhanced upwelling around a shallow and a deep seamount in the tropical western Pacific Ocean. We found obviously higher complexity of network occurred with significantly more cyanobacteria in the deep chlorophyll maximum (DCM) layer of shallow seamount when compared to that of deep seamount. Cyanobacteria can shape bacterial interaction and community evenness in response to relatively high nutrient concentrations. The effects of the nutrients on cyanobacteria-related networks were further estimated based on the <i>Tara</i> Oceans data. Statistical analyses further showed a facilitative effect of nitrate concentrations on cyanobacteria-bacteria mutualistic interactions in the global oligotrophic ocean. By analysing the <i>Tara</i> Ocean macrogenomic data, we detected functional genes related to cyanobacteria-bacteria interactions in all samples, indicating the existence of a mutualistic relationship. Our results reveal the cyanobacteria-bacteria interaction in response to nutrient elevation in oligotrophic ocean and highlight the potentially negative effects of global change on the bacterial community from the views of the bio-interaction.
DOI: 10.35097/ehgilodgsqkmsqtn
title: Data for the publication: Skin friction reduction via suppression of large scales in turbulent Couette flows

description: Research data and software for the publication: Skin friction reduction via suppression of large scales in turbulent Couette
flows, Int. J. Heat Fluid Flow 108 (2024). For detailed instructions about this repository, please consult the README.html or README.md file.
DOI: 10.6084/m9.figshare.26180352
title: Table S2 Operational taxonomic unit (OTU) table based on the Tara Oceans shotgun metagenome sequence 16S miTAGs from Enhanced nutrient supply promotes mutualistic interactions between cyanobacteria and bacteria in oligotrophic ocean

description: Cyanobacteria can form complex interactions with heterotrophic microorganisms, but this relationship is susceptible to nutrient concentrations. Disentangling the cyanobacteria-bacteria interactions in relation to nutrient supply is essential to understanding their roles in geochemical cycles under global change. We hypothesize that enhanced nutrient supply in oligotrophic oceans can promote interactions among cyanobacteria and bacteria. Therefore, we investigated the planktonic bacteria and their interactions with cyanobacteria in relation to elevated nutrients caused by enhanced upwelling around a shallow and a deep seamount in the tropical western Pacific Ocean. We found obviously higher complexity of network occurred with significantly more cyanobacteria in the deep chlorophyll maximum (DCM) layer of shallow seamount when compared to that of deep seamount. Cyanobacteria can shape bacterial interaction and community evenness in response to relatively high nutrient concentrations. The effects of the nutrients on cyanobacteria-related networks were further estimated based on the <i>Tara</i> Oceans data. Statistical analyses further showed a facilitative effect of nitrate concentrations on cyanobacteria-bacteria mutualistic interactions in the global oligotrophic ocean. By analysing the <i>Tara</i> Ocean macrogenomic data, we detected functional genes related to cyanobacteria-bacteria interactions in all samples, indicating the existence of a mutualistic relationship. Our results reveal the cyanobacteria-bacteria interaction in response to nutrient elevation in oligotrophic ocean and highlight the potentially negative effects of global change on the bacterial community from the views of the bio-interaction.
DOI: 10.6084/m9.figshare.26180358
title: Table S5 Taxonomic annotation of cyanobacteria-associated heterotrophic bacterial ASVs in co-occurring networks across global marine areas based on Tara Oceans data from Enhanced nutrient supply promotes mutualistic interactions between cyanobacteria and bacteria in oligotrophic ocean

description: Cyanobacteria can form complex interactions with heterotrophic microorganisms, but this relationship is susceptible to nutrient concentrations. Disentangling the cyanobacteria-bacteria interactions in relation to nutrient supply is essential to understanding their roles in geochemical cycles under global change. We hypothesize that enhanced nutrient supply in oligotrophic oceans can promote interactions among cyanobacteria and bacteria. Therefore, we investigated the planktonic bacteria and their interactions with cyanobacteria in relation to elevated nutrients caused by enhanced upwelling around a shallow and a deep seamount in the tropical western Pacific Ocean. We found obviously higher complexity of network occurred with significantly more cyanobacteria in the deep chlorophyll maximum (DCM) layer of shallow seamount when compared to that of deep seamount. Cyanobacteria can shape bacterial interaction and community evenness in response to relatively high nutrient concentrations. The effects of the nutrients on cyanobacteria-related networks were further estimated based on the <i>Tara</i> Oceans data. Statistical analyses further showed a facilitative effect of nitrate concentrations on cyanobacteria-bacteria mutualistic interactions in the global oligotrophic ocean. By analysing the <i>Tara</i> Ocean macrogenomic data, we detected functional genes related to cyanobacteria-bacteria interactions in all samples, indicating the existence of a mutualistic relationship. Our results reveal the cyanobacteria-bacteria interaction in response to nutrient elevation in oligotrophic ocean and highlight the potentially negative effects of global change on the bacterial community from the views of the bio-interaction.
DOI: 10.6084/m9.figshare.26180358.v1
title: Table S5 Taxonomic annotation of cyanobacteria-associated heterotrophic bacterial ASVs in co-occurring networks across global marine areas based on Tara Oceans data from Enhanced nutrient supply promotes mutualistic interactions between cyanobacteria and bacteria in oligotrophic ocean

description: Cyanobacteria can form complex interactions with heterotrophic microorganisms, but this relationship is susceptible to nutrient concentrations. Disentangling the cyanobacteria-bacteria interactions in relation to nutrient supply is essential to understanding their roles in geochemical cycles under global change. We hypothesize that enhanced nutrient supply in oligotrophic oceans can promote interactions among cyanobacteria and bacteria. Therefore, we investigated the planktonic bacteria and their interactions with cyanobacteria in relation to elevated nutrients caused by enhanced upwelling around a shallow and a deep seamount in the tropical western Pacific Ocean. We found obviously higher complexity of network occurred with significantly more cyanobacteria in the deep chlorophyll maximum (DCM) layer of shallow seamount when compared to that of deep seamount. Cyanobacteria can shape bacterial interaction and community evenness in response to relatively high nutrient concentrations. The effects of the nutrients on cyanobacteria-related networks were further estimated based on the <i>Tara</i> Oceans data. Statistical analyses further showed a facilitative effect of nitrate concentrations on cyanobacteria-bacteria mutualistic interactions in the global oligotrophic ocean. By analysing the <i>Tara</i> Ocean macrogenomic data, we detected functional genes related to cyanobacteria-bacteria interactions in all samples, indicating the existence of a mutualistic relationship. Our results reveal the cyanobacteria-bacteria interaction in response to nutrient elevation in oligotrophic ocean and highlight the potentially negative effects of global change on the bacterial community from the views of the bio-interaction.
DOI: 10.15468/dl.5ggdb5
title: Occurrence Download

description: A dataset containing 289 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Albatrossia pectoralis (Gilbert, 1892)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 289 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011897-240626123714530/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.26180370
title: Table S4 Taxonomic annotation of cyanobacteria-associated heterotrophic bacterial ASVs in the DCM layer co-occurrence network of absolute quantitative data from M4 seamount from Enhanced nutrient supply promotes mutualistic interactions between cyanobacteria and bacteria in oligotrophic ocean

description: Cyanobacteria can form complex interactions with heterotrophic microorganisms, but this relationship is susceptible to nutrient concentrations. Disentangling the cyanobacteria-bacteria interactions in relation to nutrient supply is essential to understanding their roles in geochemical cycles under global change. We hypothesize that enhanced nutrient supply in oligotrophic oceans can promote interactions among cyanobacteria and bacteria. Therefore, we investigated the planktonic bacteria and their interactions with cyanobacteria in relation to elevated nutrients caused by enhanced upwelling around a shallow and a deep seamount in the tropical western Pacific Ocean. We found obviously higher complexity of network occurred with significantly more cyanobacteria in the deep chlorophyll maximum (DCM) layer of shallow seamount when compared to that of deep seamount. Cyanobacteria can shape bacterial interaction and community evenness in response to relatively high nutrient concentrations. The effects of the nutrients on cyanobacteria-related networks were further estimated based on the <i>Tara</i> Oceans data. Statistical analyses further showed a facilitative effect of nitrate concentrations on cyanobacteria-bacteria mutualistic interactions in the global oligotrophic ocean. By analysing the <i>Tara</i> Ocean macrogenomic data, we detected functional genes related to cyanobacteria-bacteria interactions in all samples, indicating the existence of a mutualistic relationship. Our results reveal the cyanobacteria-bacteria interaction in response to nutrient elevation in oligotrophic ocean and highlight the potentially negative effects of global change on the bacterial community from the views of the bio-interaction.
DOI: 10.6084/m9.figshare.26180370.v1
title: Table S4 Taxonomic annotation of cyanobacteria-associated heterotrophic bacterial ASVs in the DCM layer co-occurrence network of absolute quantitative data from M4 seamount from Enhanced nutrient supply promotes mutualistic interactions between cyanobacteria and bacteria in oligotrophic ocean

description: Cyanobacteria can form complex interactions with heterotrophic microorganisms, but this relationship is susceptible to nutrient concentrations. Disentangling the cyanobacteria-bacteria interactions in relation to nutrient supply is essential to understanding their roles in geochemical cycles under global change. We hypothesize that enhanced nutrient supply in oligotrophic oceans can promote interactions among cyanobacteria and bacteria. Therefore, we investigated the planktonic bacteria and their interactions with cyanobacteria in relation to elevated nutrients caused by enhanced upwelling around a shallow and a deep seamount in the tropical western Pacific Ocean. We found obviously higher complexity of network occurred with significantly more cyanobacteria in the deep chlorophyll maximum (DCM) layer of shallow seamount when compared to that of deep seamount. Cyanobacteria can shape bacterial interaction and community evenness in response to relatively high nutrient concentrations. The effects of the nutrients on cyanobacteria-related networks were further estimated based on the <i>Tara</i> Oceans data. Statistical analyses further showed a facilitative effect of nitrate concentrations on cyanobacteria-bacteria mutualistic interactions in the global oligotrophic ocean. By analysing the <i>Tara</i> Ocean macrogenomic data, we detected functional genes related to cyanobacteria-bacteria interactions in all samples, indicating the existence of a mutualistic relationship. Our results reveal the cyanobacteria-bacteria interaction in response to nutrient elevation in oligotrophic ocean and highlight the potentially negative effects of global change on the bacterial community from the views of the bio-interaction.