cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/5gpzr9np6t
title: Potential phosphorylation of Liprin-α1 at threonine 701 regulates integrin-mediated cell motility (PONE-D-25-29015_R2)

description: A dynamic protein network at the leading edge of motile cells is needed to coordinate events required for efficient cell motility. Previous work has shown that the Ser/Thr kinase DYRK3 affects the assembly of this network, and phosphorylates its component Liprin-α1, a scaffold protein regulating adhesion turnover and cell motility. We have looked for phospho-sites of Liprin-α1 relevant for the regulation of cell motility, by examining the role played by serine/threonine residues phosphorylated within the intrinsically disordered regions of Liprin-α1. Phospho-null mutations within either the amino-terminal or the carboxy-terminal disordered regions affect Liprin-α1 phosphorylation induced by DYRK3. Functional analysis shows that mutations within the amino-terminal region do not affect cell motility, while a set of carboxy-terminal mutations reduces the positive effects of Liprin-α1 on cell spreading on the extracellular matrix. Among several candidate phospho-sites in this protein region, we identify Thr701 as one of the potential main targets of DYRK3 activity in Liprin-1. The phospho-null mutation of Thr701 specifically inhibits Liprin-1–induced potentiation of cell spreading on fibronectin. Our findings contribute to highlight the complexity of the regulation of Liprin-αprotein functions by phosphorylation/dephosphorylation events. Given the involvement of Liprin-α proteins in tumor cell motility and invasion, in-depth understanding of this regulatory complexity may highlight new possibilities for therapeutic intervention.
DOI: 10.17632/5gpzr9np6t.1
title: Potential phosphorylation of Liprin-α1 at threonine 701 regulates integrin-mediated cell motility (PONE-D-25-29015_R2)

description: A dynamic protein network at the leading edge of motile cells is needed to coordinate events required for efficient cell motility. Previous work has shown that the Ser/Thr kinase DYRK3 affects the assembly of this network, and phosphorylates its component Liprin-α1, a scaffold protein regulating adhesion turnover and cell motility. We have looked for phospho-sites of Liprin-α1 relevant for the regulation of cell motility, by examining the role played by serine/threonine residues phosphorylated within the intrinsically disordered regions of Liprin-α1. Phospho-null mutations within either the amino-terminal or the carboxy-terminal disordered regions affect Liprin-α1 phosphorylation induced by DYRK3. Functional analysis shows that mutations within the amino-terminal region do not affect cell motility, while a set of carboxy-terminal mutations reduces the positive effects of Liprin-α1 on cell spreading on the extracellular matrix. Among several candidate phospho-sites in this protein region, we identify Thr701 as one of the potential main targets of DYRK3 activity in Liprin-1. The phospho-null mutation of Thr701 specifically inhibits Liprin-1–induced potentiation of cell spreading on fibronectin. Our findings contribute to highlight the complexity of the regulation of Liprin-αprotein functions by phosphorylation/dephosphorylation events. Given the involvement of Liprin-α proteins in tumor cell motility and invasion, in-depth understanding of this regulatory complexity may highlight new possibilities for therapeutic intervention.
DOI: 10.15468/dl.nk8qgu
title: Occurrence Download

description: A dataset containing 1513 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Russian Federation",
 "TaxonKey is Digitalis grandiflora"
 ]
}

 The dataset includes 1513 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038720-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.anx66u
title: Occurrence Download

description: A dataset containing 34791 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Asia",
 "Country is China",
 "DatasetKey is EOD – eBird Observation Dataset",
 "GbifRegion is Asia",
 "Geometry POLYGON((122.5391 49.74632,119.93615 48.89804,120.28321 44.92964,125.14204 40.0719,132.34352 43.05727,132.16999 47.62739,122.5391 49.74632))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 1995-2025"
 ]
}

 The dataset includes 34791 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038719-251025141854904/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.30373044
title: Assessing ESG and economic challenges for cobalt supply from new mining projects in Europe

description: Ranking sheets for conducting the multicriteria analysis
DOI: 10.6084/m9.figshare.30373044.v2
title: Assessing ESG and economic challenges for cobalt supply from new mining projects in Europe

description: Ranking sheets for conducting the multicriteria analysis
DOI: 10.6084/m9.figshare.30373044.v1
title: Assessing ESG and economic challenges for cobalt supply from new mining projects in Europe

description: Ranking sheets for conducting the multicriteria analysis
DOI: 10.5281/zenodo.17602559
title: Experimental data of "Regulating Solvent Co-Intercalation in Bi-Layered Vanadium Oxides for Zinc Batteries by Nanoconfinement Chemistry"
DOI: 10.5281/zenodo.17602558
title: Experimental data of "Regulating Solvent Co-Intercalation in Bi-Layered Vanadium Oxides for Zinc Batteries by Nanoconfinement Chemistry"
DOI: 10.17028/rd.lboro.28523978
title: Sleepful Drive: The development of a comprehensive sleep management programme in commercial drivers

description: The aim of the project was to co-develop (with target users and stakeholders) an app-based intervention to improve sleep quality and quantity in commercial drivers within the road freight sector in the UK.<b>Research Objectives:</b>One of the main objectives of the project was to inform the legal, regulatory, managerial and occupational context within which the sleep improvement app will be deployed. The research questions for this part of the project therefore were:1. Is there support for the hypothesis of widespread sleep problems in the commercial driver population?2. Is there a significant impact of work schedules and environments on sleep health?3. What components of the proposed sleep app fit the job profile/lifestyle/industry policies?<b>Research Design and Method:</b>The research employed a qualitative research design with semi-structured interviews as the method for data collection. Participants were commercial drivers of any vehicle size (HGV, LCV) who distribute goods in the UK, and employees at the management or policy level within the UK industry (non-driver industry employees). Recruitment of commercial drivers and non-driver industry employees occurred through social media, or via email to existing industry contacts, either to recruit that person or for a request for recruitment posters/leaflets to be distributed across their networks. Twenty commercial drivers and eleven non-driver industry employees took part in one-to-one interviews conducted between January – March 2022. Most drivers (75%) operated HGV vehicles with a quarter operating LCVs, and all drivers worked full-time. Non-drivers were employed by logistics companies, an industry union, a road safety government agency, an accident prevention charity, and a national logistics trade association.<b>Data Analysis:</b>Interviews were audio recorded and transcribed verbatim before undergoing thematic analysis within NVivo (version 12.0) software. Published data analysis procedures were followed throughout the process to preserve the empirical adequacy and descriptive validity.
DOI: 10.17028/rd.lboro.28523978.v2
title: Sleepful Drive: The development of a comprehensive sleep management programme in commercial drivers

description: The aim of the project was to co-develop (with target users and stakeholders) an app-based intervention to improve sleep quality and quantity in commercial drivers within the road freight sector in the UK.<b>Research Objectives:</b>One of the main objectives of the project was to inform the legal, regulatory, managerial and occupational context within which the sleep improvement app will be deployed. The research questions for this part of the project therefore were:1. Is there support for the hypothesis of widespread sleep problems in the commercial driver population?2. Is there a significant impact of work schedules and environments on sleep health?3. What components of the proposed sleep app fit the job profile/lifestyle/industry policies?<b>Research Design and Method:</b>The research employed a qualitative research design with semi-structured interviews as the method for data collection. Participants were commercial drivers of any vehicle size (HGV, LCV) who distribute goods in the UK, and employees at the management or policy level within the UK industry (non-driver industry employees). Recruitment of commercial drivers and non-driver industry employees occurred through social media, or via email to existing industry contacts, either to recruit that person or for a request for recruitment posters/leaflets to be distributed across their networks. Twenty commercial drivers and eleven non-driver industry employees took part in one-to-one interviews conducted between January – March 2022. Most drivers (75%) operated HGV vehicles with a quarter operating LCVs, and all drivers worked full-time. Non-drivers were employed by logistics companies, an industry union, a road safety government agency, an accident prevention charity, and a national logistics trade association.<b>Data Analysis:</b>Interviews were audio recorded and transcribed verbatim before undergoing thematic analysis within NVivo (version 12.0) software. Published data analysis procedures were followed throughout the process to preserve the empirical adequacy and descriptive validity.
DOI: 10.17028/rd.lboro.28523978.v1
title: <b>Sleepful Drive: The development of a comprehensive sleep management programme in commercial drivers</b>

description: The aim of the project was to co-develop (with target users and stakeholders) an app-based intervention to improve sleep quality and quantity in commercial drivers within the road freight sector in the UK.<b>Research Objectives:</b>One of the main objectives of the project was to inform the legal, regulatory, managerial and occupational context within which the sleep improvement app will be deployed. The research questions for this part of the project therefore were:1. Is there support for the hypothesis of widespread sleep problems in the commercial driver population?2. Is there a significant impact of work schedules and environments on sleep health?3. What components of the proposed sleep app fit the job profile/lifestyle/industry policies?<b>Research Design and Method:</b>The research employed a qualitative research design with semi-structured interviews as the method for data collection. Participants were commercial drivers of any vehicle size (HGV, LCV) who distribute goods in the UK, and employees at the management or policy level within the UK industry (non-driver industry employees). Recruitment of commercial drivers and non-driver industry employees occurred through social media, or via email to existing industry contacts, either to recruit that person or for a request for recruitment posters/leaflets to be distributed across their networks. Twenty commercial drivers and eleven non-driver industry employees took part in one-to-one interviews conducted between January – March 2022. Most drivers (75%) operated HGV vehicles with a quarter operating LCVs, and all drivers worked full-time. Non-drivers were employed by logistics companies, an industry union, a road safety government agency, an accident prevention charity, and a national logistics trade association.<b>Data Analysis:</b>Interviews were audio recorded and transcribed verbatim before undergoing thematic analysis within NVivo (version 12.0) software. Published data analysis procedures were followed throughout the process to preserve the empirical adequacy and descriptive validity.
DOI: 10.15468/dl.awhfpj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (, , , , , , Phoebe scortechinii, , , , , Phoebe scortechinii, , , , , , , Persea scortechinii, , Machilus scortechinii, , , )",
 "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"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038722-251025141854904/datasets/export for details.
DOI: 10.15468/dl.avgcys
title: Occurrence Download

description: A dataset containing 170688 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ambrosia artemisiifolia"
 ]
}

 The dataset includes 170688 records from 1353 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038671-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jwn94g
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CAN.2_1",
 "TaxonKey is Aplexa elongata (Say, 1821)"
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000530-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sfha6g
title: Occurrence Download

description: A dataset containing 60260 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Kickxia elatine (L.) Dumort."
 ]
}

 The dataset includes 60260 records from 1043 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008304-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18738/t8/tejldm
title: HOBO_Data_Loggers_Field_Data_TP1

description: Data logged in the field for nine Stream Temperature, Intermittence, and Conductivity loggers (STICLs) deployed in portions of the Mission River landscape that experience inundation intermittently. The data pertain to time-period 1 (TP1) that captures the dates of 26-May-2016 to 14-Aug-2016. Each file has eight columns (ID, DateTime, Temp_C, EC_DN, EC_EST, EC_EST_MINUS_RMSE, EC_EST_PLUS_RMSE, DateTime_ForPlots). ID is the unique identifier within the table for each measurement. DateTime is the date and time associated with each measurement in Microsoft Excel format. Temp_C is the measured temperature in degrees Celsius by the STICL. EC_DN is the measured digital number of the electrical conductivity experienced by the STICL. EC_EST is the estimated electrical conductivity in uS/cm using the fitted linear splines with temperature adjustments for the field measurements. EC_EST_MINUS_RMSE is the estimate minus the root mean squared (RMSE) from the calibration. EC_EST_MINUS_RMSE is the estimate plus the root mean squared (RMSE) from the calibration. DateTime_ForPlots is the date and time associated with each measurement in POSIXct format within the R programming environment.
DOI: 10.18738/t8/t9rqmp
title: Caltech LES 3D cloud fields and associated forcing data

description: Cloud fields at the end of the 6-day time integration from the large-eddy simulation (LES) experiment forced by the CNRM-CM5 large-scale averages in July during 2004–2008 at the seven sites over the northeastern Pacific in Shen et al. (2022). Shen, Z., Sridhar, A., Tan, Z., Jaruga, A., & Schneider, T. (2022). A library of large-eddy simulations forced by global climate models. Journal of Advances in Modeling Earth Systems, 14(3), e2021MS002631. https://doi.org/10.1029/2021MS002631
DOI: 10.15468/dl.ybc88n
title: Occurrence Download

description: A dataset containing 1463 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sidalcea glaucescens"
 ]
}

 The dataset includes 1463 records from 84 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036967-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9rgphb
title: Occurrence Download

description: A dataset containing 507 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Astelia petriei"
 ]
}

 The dataset includes 507 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036968-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7jut8a
title: Occurrence Download

description: A dataset containing 105335 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Tanacetum parthenium"
 ]
}

 The dataset includes 105335 records from 760 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036845-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xv8c4u
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036970-250811113504898/datasets/export for details.
DOI: 10.15468/dl.8c4d37
title: Occurrence Download

description: A dataset containing 318 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hedychium coronarium",
 "Country is Argentina",
 "HasCoordinate is true"
 ]
}

 The dataset includes 318 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036972-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qqcxwn
title: Occurrence Download

description: A dataset containing 916 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Euphrasia foulaensis"
 ]
}

 The dataset includes 916 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036971-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bucrkb
title: Occurrence Download

description: A dataset containing 365 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hedychium coronarium",
 "Country is Costa Rica",
 "HasCoordinate is true"
 ]
}

 The dataset includes 365 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036973-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2qkhng
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hedychium coronarium",
 "Country is Malaysia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 13 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036974-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jkcdux
title: Occurrence Download

description: A dataset containing 1936 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Astilbe microphylla"
 ]
}

 The dataset includes 1936 records from 84 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036975-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dyf9jz
title: Occurrence Download

description: A dataset containing 1398 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Moraea miniata"
 ]
}

 The dataset includes 1398 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036979-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sh8mz2
title: Occurrence Download

description: A dataset containing 539 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Euphrasia vigursii"
 ]
}

 The dataset includes 539 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036977-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hyu865
title: Occurrence Download

description: A dataset containing 1360 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Montanoa hibiscifolia"
 ]
}

 The dataset includes 1360 records from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036978-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n939mc
title: Occurrence Download

description: A dataset containing 6102 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sidalcea oregana"
 ]
}

 The dataset includes 6102 records from 155 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036980-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8tr7mr
title: Occurrence Download

description: A dataset containing 158965 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Setaria viridis"
 ]
}

 The dataset includes 158965 records from 1501 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036868-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.