cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5258/soton/d3821
title: Dataset for the research project, 'Children and young people's telephone use and telephone cultures in Britain c.1984-1999'

description: This dataset comprises data collected as part of the research project, ‘Children and young people’s telephone use and telephone cultures in Britain, c. 1984-1999’. The research was supported by the Arts and Humanities Research Council (AHRC) Fellowship [Grant number: AH/V008943/1]. The aims of the data collection were to document memories of telephone use of individuals who were between the ages of 5 and 19 during the study years of 1984 and 1999, and to capture interpretative responses to the subject matter of children’s historical telephone use. The dataset comprises two sections: 1) Archived data and 2) Open data. The Archived data includes digital files of artworks created as part of arts engaged research; data files from the Telephonic Youth Digital Map (hosted on the project website https://telephonicyouth.co.uk/); and closed interview data. The Telephonic Youth Digital Map is available to access until January 2028 via the website https://telephonicyouth.co.uk/ , at which point it will be archived. The Open data comprises open interview data and is intended to support future research. If you use material from the Open data please use the following attribution: ‘Based on data obtained during the Arts and Humanities Research Council Fellowship [Grant number: AH/V008943/1], 'Children and young people’s telephone use and telephone cultures in Britain, c. 1984-1999', conducted by Dr Eve Colpus and Dr Aaron Andrews (May 2021-January 2025).
DOI: 10.15468/dl.6zxabh
title: Occurrence Download

description: A dataset containing 503663 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Animalia",
 "TaxonomicStatus is Accepted",
 "BasisOfRecord is Living Specimen"
 ]
}

 The dataset includes 503663 records from 190 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002248-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15297865
title: Data for: Expandable Nanocomposite Shape-Memory Hemostat for the Treatment of Noncompressible Hemorrhage (1 of 2)

description: Saptarshi Biswas1,#, Sarah E. Miller1,#, Shounak Roy1, Jeevika Thazhaiselvam2, Samantha Foster3, Manivannan Sivaperuman Kalairaj1, Sasha M. George4, Yava Jones-Hall2,5, Staci J. Horn1, Fred J. Clubb2,5, Taylor H. Ware1,4, Duncan J. Maitland1,*, and Akhilesh K. Gaharwar1,3,4,,6*

1Department of Biomedical Engineering, College of Engineering, Texas A&M University, College Station, TX 77843, USA

2College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, TX 77843, USA.

3Interdisciplinary Program in Genetics, Texas A&M University, College Station, TX 77843, USA

4Department of Material Science and Engineering, College of Engineering, Texas A&M University, College Station, TX 77843, USA.

5Department of Veterinary Pathobiology, Texas A&M University, College Station, TX 77843, USA.

6Center for Remote Health Technologies and Systems, Texas A&M University, College Station, TX 77843, USA.

#Equally contributed 

*Corresponding author E-mail: gaharwar@tamu.edu (AKG); djmaitland@tamu.edu (DJM)

 

Keywords: biomaterials; shape memory; nanocomposite; hemostasis; noncompressible hemorrhage.

 

 

Data files associated with Figures 1-5 and SI 10-13 of manuscript. Data files for Figure 6 and Supplemental Figures 1-9, 14-19 can be found at 10.5281/zenodo.17782422.
DOI: 10.5281/zenodo.15297864
title: Data for: Expandable Nanocomposite Shape-Memory Hemostat for the Treatment of Noncompressible Hemorrhage (1 of 2)

description: Saptarshi Biswas1,#, Sarah E. Miller1,#, Shounak Roy1, Jeevika Thazhaiselvam2, Samantha Foster3, Manivannan Sivaperuman Kalairaj1, Sasha M. George4, Yava Jones-Hall2,5, Staci J. Horn1, Fred J. Clubb2,5, Taylor H. Ware1,4, Duncan J. Maitland1,*, and Akhilesh K. Gaharwar1,3,4,,6*

1Department of Biomedical Engineering, College of Engineering, Texas A&M University, College Station, TX 77843, USA

2College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, TX 77843, USA.

3Interdisciplinary Program in Genetics, Texas A&M University, College Station, TX 77843, USA

4Department of Material Science and Engineering, College of Engineering, Texas A&M University, College Station, TX 77843, USA.

5Department of Veterinary Pathobiology, Texas A&M University, College Station, TX 77843, USA.

6Center for Remote Health Technologies and Systems, Texas A&M University, College Station, TX 77843, USA.

#Equally contributed 

*Corresponding author E-mail: gaharwar@tamu.edu (AKG); djmaitland@tamu.edu (DJM)

 

Keywords: biomaterials; shape memory; nanocomposite; hemostasis; noncompressible hemorrhage.

 

 

Data files associated with Figures 1-5 and SI 10-13 of manuscript. Data files for Figure 6 and Supplemental Figures 1-9, 14-19 can be found at 10.5281/zenodo.17782422.
DOI: 10.5281/zenodo.18433625
title: IMPROVING THE METHODOLOGY FOR ASSESSING STUDENTS' KNOWLEDGE IN THE PROCESS OF MEDICAL EDUCATION BASED ON ARTIFICIAL INTELLIGENCE TECHNOLOGIES

description: This in the article medical education in the process students knowledge assessment efficiency increase issues seeing Traditional assessment methods subjectivity and limitedness analysis artificially made intellect technologies based assessment methodology improvement necessity based on given . Research within adaptive testing and information intellectual analysis to do to the mechanisms relied on assessment model working Tested . works results improved methodology students knowledge level in evaluation accuracy , objectivity and efficiency increase showed . Obtained results medical supreme education in institutions training process in improvement practical importance has
DOI: 10.5281/zenodo.18433624
title: IMPROVING THE METHODOLOGY FOR ASSESSING STUDENTS' KNOWLEDGE IN THE PROCESS OF MEDICAL EDUCATION BASED ON ARTIFICIAL INTELLIGENCE TECHNOLOGIES

description: This in the article medical education in the process students knowledge assessment efficiency increase issues seeing Traditional assessment methods subjectivity and limitedness analysis artificially made intellect technologies based assessment methodology improvement necessity based on given . Research within adaptive testing and information intellectual analysis to do to the mechanisms relied on assessment model working Tested . works results improved methodology students knowledge level in evaluation accuracy , objectivity and efficiency increase showed . Obtained results medical supreme education in institutions training process in improvement practical importance has
DOI: 10.5281/zenodo.18433296
title: Inputs, relaxed structures and scripts for EPR g-tensor benchmarks with QE-CONVERSE, QE-GIPAW and CASTEP

description: This record provides the input files, relaxed structures, and post-processing scripts used for first-principles EPR g-tensor benchmarks in periodic supercells, comparing QE-CONVERSE (single-point and covariant converse formulations), QE-GIPAW (linear response), and CASTEP (linear response).

Contents include: (i) relaxed defect geometries (CIF), (ii) complete input decks organized by defect and supercell size, (iii) plotting notebook/script used to generate the 3D bar-plot figure reported in the manuscript.

The complete numerical results are reported in the manuscript and Supplementary Information.

Note: the archive contains third-party pseudopotentials from PSLibrary (GNU GPL); they are not covered by the CC BY 4.0 license of this record.

Software used: Quantum ESPRESSO (QE-CONVERSE and QE-GIPAW) and CASTEP; post-processing in Python (ASE/NumPy/Matplotlib).
DOI: 10.5281/zenodo.18433295
title: Inputs, relaxed structures and scripts for EPR g-tensor benchmarks with QE-CONVERSE, QE-GIPAW and CASTEP

description: This record provides the input files, relaxed structures, and post-processing scripts used for first-principles EPR g-tensor benchmarks in periodic supercells, comparing QE-CONVERSE (single-point and covariant converse formulations), QE-GIPAW (linear response), and CASTEP (linear response).

Contents include: (i) relaxed defect geometries (CIF), (ii) complete input decks organized by defect and supercell size, (iii) plotting notebook/script used to generate the 3D bar-plot figure reported in the manuscript.

The complete numerical results are reported in the manuscript and Supplementary Information.

Note: the archive contains third-party pseudopotentials from PSLibrary (GNU GPL); they are not covered by the CC BY 4.0 license of this record.

Software used: Quantum ESPRESSO (QE-CONVERSE and QE-GIPAW) and CASTEP; post-processing in Python (ASE/NumPy/Matplotlib).
DOI: 10.17026/dans-2a2-77kp
title: Survey Integratie Minderheden - SIM 2011 versie 3
title: SIM 2011 v3

description: &lt;p&gt;De Survey Integratie Minderheden is opgezet om inzicht te krijgen in de integratie van de vier belangrijkste minderheidsgroeperingen (Turkse, Marokkaanse, Antilliaanse en Surinaamse Nederlanders). Aan deze groepen en aan een vergelijkingsgroep van autochtone Nederlanders zijn vragen gesteld over onder meer onderwijs, arbeid, sociale contacten, culturele integratie, godsdienst, beeldvorming en gezondheid en sport. SIM kan in sommige opzichten worden beschouwd als de opvolger van het onderzoek ‘Sociale positie en voorzieningengebruik allochtonen’ (SPVA), een onderzoek naar de sociale positie en het voorzieningengebruik van allochtonen, dat in de periode 1988 - 2002 vijfmaal is gehouden onder deze groepen.&lt;/p&gt;&lt;p&gt;De SIM is in 2006 voor het eerst gehouden en werd in 2010/2011 herhaald (hoofdonderzoek); er werd toen daarnaast een experiment uitgevoerd om de bruikbaarheid na te gaan van een mixed mode dataverzamelingsmethodiek (benadering via een mix van web, telefoon en face-to-face) bij onderzoek onder genoemde groepen. Het SCP was verantwoordelijk voor de uitvoering van deze survey. Er is samengewerkt met het Centraal Bureau voor de Statistiek (CBS) en GfK Panel Services Benelux (GfK).&lt;/p&gt;&lt;p&gt;Deze dataset betreffen de data van het onderzoek uit 2010/2011. Het betreft het hoofdonderzoek, de data van het mixed mode onderzoek zijn niet opgenomen.&lt;/p&gt;&lt;p&gt;Dit betreft een beveiligd microbestand van het Centraal Bureau voor de Statistiek-CBS. Beveiligde micro-bestanden zijn bestanden die zodanig bewerkt zijn dat herkenning van individuen en huishoudens uitgesloten is.&lt;/p&gt;&lt;p&gt;SIM2011 v3 bevat, in tegenstelling tot v2, geen variabelen met open antwoorden. SIM2011 v2 en v1 zijn niet meer beschikbaar.&lt;/p&gt;
description: Totstandkoming bestanden:
- De bestanden 'SIM 2011V3.sav' en 'Documentatierapport_Dans-easy SIM 2011V3.pdf' zijn aangeleverd door het CBS.
- De Bijlagen zijn toegevoegd vanuit de eerder gedeponeerde dataset SIM2011, evenals de Onderzoeksverantwoording.
- De bestanden 'SIM2011v3.DTA' en 'SIM2011v3.POR' zijn door DANS gemaakt vanuit het .sav-bestand.
DOI: 10.15468/dl.4w7z4n
title: Occurrence Download

description: A dataset containing 54143 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "TaxonKey is one of (Chordata [GBIF Backbone Taxonomy], Plantae [GBIF Backbone Taxonomy])",
 "GadmGid is one of (COL.15.42_2)"
 ]
 }
 ]
}

 The dataset includes 54143 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002233-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bmhqbu
title: Occurrence Download

description: A dataset containing 167226 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "GadmGid is USA.26_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Sialia sialis",
 "Year 2015-2025"
 ]
}

 The dataset includes 167226 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002243-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34847/nkl.50afa37j
title: Annexes électroniques de l’article « Se projeter au lycée aux confins de la République. Une analyse des inégalités socio-scolaires à partir des souhaits d’orientation en seconde des élèves de troisième en Polynésie française »

description: Mickaël Durand, Fanny Jedlicki, Annexes électroniques de l’article « Se projeter au lycée aux confins de la République. Une analyse des inégalités socio-scolaires à partir des souhaits d’orientation en seconde des élèves de troisième en Polynésie française » , Sociologie, 2026-1 (vol. 17), https://shs.cairn.info/revue-sociologie
DOI: 10.5281/zenodo.17553444
title: Dataset for Integration of human microbiota (SIHUMIx) and zebrafish models reveals microbiome-mediated host responses to azoxystrobin

description: This repository contains datasets and accompanying code underlying figures in Wray & Castañeda-Monsalve et al. It includes zebrafish behavior data, targeted metabolomics datasets, and processed outputs from the simplified human intestinal microbiota (SIHUMIx) model, covering community composition, functional pathway profiles, and untargeted metabolomics.
DOI: 10.5281/zenodo.18433571
title: Dataset for Integration of human microbiota (SIHUMIx) and zebrafish models reveals microbiome-mediated host responses to azoxystrobin

description: This repository contains datasets and accompanying code underlying figures in Wray & Castañeda-Monsalve et al. It includes zebrafish behavior data, targeted metabolomics datasets, and processed outputs from the simplified human intestinal microbiota (SIHUMIx) model, covering community composition, functional pathway profiles, and untargeted metabolomics.
DOI: 10.5281/zenodo.18433677
title: CHALLENGES AND SOLUTIONS IN TEACHING ENGLISH TO YOUNG LEARNERS

description: Teaching English to young learners is a complex and dynamic process that requires special pedagogical approaches. Children learn languages differently from adults, as they rely more on emotions, imagination, and interaction rather than abstract rules. This article explores the main challenges teachers face when teaching English to young learners and presents effective solutions based on modern educational practices. The focus is on motivation, attention span, language exposure, and classroom management, highlighting learner-centered and communicative strategies.
DOI: 10.5281/zenodo.18433678
title: CHALLENGES AND SOLUTIONS IN TEACHING ENGLISH TO YOUNG LEARNERS

description: Teaching English to young learners is a complex and dynamic process that requires special pedagogical approaches. Children learn languages differently from adults, as they rely more on emotions, imagination, and interaction rather than abstract rules. This article explores the main challenges teachers face when teaching English to young learners and presents effective solutions based on modern educational practices. The focus is on motivation, attention span, language exposure, and classroom management, highlighting learner-centered and communicative strategies.
DOI: 10.15468/dl.b35km3
title: Occurrence Download

description: A dataset containing 102883 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-125.85334 20.47974,-58.3185 20.47974,-58.3185 51.68939,-125.85334 51.68939,-125.85334 20.47974))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Alliaria petiolata"
 ]
}

 The dataset includes 102883 records from 148 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002236-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18433064
title: Analysis results of wastewater samples of MITERA Hospital

description: This dataset presents quantitative concentration data from the analysis of wastewater samples collected at MITERA Hospital. The analyses were conducted by the Laboratory of Analytical Chemistry, Department of Chemistry, National and Kapodistrian University of Athens (NKUA/TraMS), on behalf of the EC-funded ENVIROMED project. The data document the occurrence of four pharmaceutical compounds (CBZ, MTP, DCF, HCT) and one industrial compound (1H-BTR) in hospital wastewater. The dataset includes information on the sample matrix (wastewater) and the analytical methods used.
description: This dataset comprises quantitative concentration data for four pharmaceutical compounds (CBZ, MTP, DCF, HCT) and one industrial compound (1H-BTR) measured in wastewater samples collected at MITERA Hospital.

The analyses were conducted by the Laboratory of Analytical Chemistry, Department of Chemistry, National and Kapodistrian University of Athens (NKUA/TraMS), on behalf of the EC-funded ENVIROMED project.

The dataset includes information on the sample matrix (wastewater), compound-specific concentration values, and associated analytical method. These data provide insight into the occurrence of selected pharmaceutical and industrial compounds in hospital wastewater.

This dataset is part of a series of ENVIROMED datasets on pharmaceutical compounds in Greek wastewater and coastal waters, including Athens (Psyttaleia) WWTP wastewater and Saronic Gulf seawater samples. The data are presented in ENVIROMED project deliverables and may support ongoing and future scientific publications.

 

Geographical coverage

Athens, Greece (MITERA Hospital)

Intended use

The dataset is suitable for research on hospital wastewater monitoring, pharmaceutical and industrial compound occurrence in urban wastewater, and environmental risk assessment related to hospital discharges.
DOI: 10.5281/zenodo.18433065
title: Analysis results of wastewater samples of MITERA Hospital

description: This dataset presents quantitative concentration data from the analysis of wastewater samples collected at MITERA Hospital. The analyses were conducted by the Laboratory of Analytical Chemistry, Department of Chemistry, National and Kapodistrian University of Athens (NKUA/TraMS), on behalf of the EC-funded ENVIROMED project. The data document the occurrence of four pharmaceutical compounds (CBZ, MTP, DCF, HCT) and one industrial compound (1H-BTR) in hospital wastewater. The dataset includes information on the sample matrix (wastewater) and the analytical methods used.
description: This dataset comprises quantitative concentration data for four pharmaceutical compounds (CBZ, MTP, DCF, HCT) and one industrial compound (1H-BTR) measured in wastewater samples collected at MITERA Hospital.

The analyses were conducted by the Laboratory of Analytical Chemistry, Department of Chemistry, National and Kapodistrian University of Athens (NKUA/TraMS), on behalf of the EC-funded ENVIROMED project.

The dataset includes information on the sample matrix (wastewater), compound-specific concentration values, and associated analytical method. These data provide insight into the occurrence of selected pharmaceutical and industrial compounds in hospital wastewater.

This dataset is part of a series of ENVIROMED datasets on pharmaceutical compounds in Greek wastewater and coastal waters, including Athens (Psyttaleia) WWTP wastewater and Saronic Gulf seawater samples. The data are presented in ENVIROMED project deliverables and may support ongoing and future scientific publications.

 

Geographical coverage

Athens, Greece (MITERA Hospital)

Intended use

The dataset is suitable for research on hospital wastewater monitoring, pharmaceutical and industrial compound occurrence in urban wastewater, and environmental risk assessment related to hospital discharges.
DOI: 10.34810/data2941
title: Replication data for: Beyond density: Environmental and dietary drivers of endoparasite burden in overabundant red deer populations

description: This dataset includes fecal egg count data (EPG) and the R script used to analyze gastrointestinal nematode burdens in red deer at two contrasting experimental densities: high density (HD) and hyper density (HyperD). It compiles the data and code associated with the research article “Beyond density: Environmental and dietary drivers of endoparasite burden in overabundant red deer populations”, published in Parasitology Research (DOI: 10.1007/s00436-026-08627-z).
description: RStudio, 2025.09.2 + 418
DOI: 10.6084/m9.figshare.27487445
title: Representation of the ICF in research of speech intelligibility: A systematic review of literature describing deaf and hard-of-hearing children

description: The purpose of this review was to map speech intelligibility measures used for assessing d/Deaf and hard-of-hearing children onto the International Classification of Functioning, Disability and Health. This review considered perceptual speech intelligibility measures (Articulation functions b320) used to assess deaf and hard-of-hearing children aged 12 years and younger. The following electronic databases were searched: CINAHL; ERIC (ProQuest); Linguistic, Language, and Behaviour Abstracts; Scopus; Medline via PubMed; CENTRAL via Ovid; Cochrane via Ovid; and Joanna Briggs via Ovid. Data were extracted describing the article, participant, listener, study, speech intelligibility, and psychometric characteristics from the 245 included studies. Speech intelligibility was measured as articulation functions (b320) through speaking (d330) in all studies. Other Body Functions frequently measured were speech discrimination (b2304; 28%) and mental functions of language (b167; 27%). Activities and Participation factors other than speaking d330 were generally not considered. Speech intelligibility was most often measured in the context of health services (e5800; 66%). Previous research on the speech intelligibility of deaf and hard-of-hearing children has largely lacked a broader perspective of functioning. Clinicians and educators of deaf and hard-of-hearing children should consider Activities and Participation, Environmental, and Personal Factors when assessing speech intelligibility.
DOI: 10.6084/m9.figshare.27487445.v2
title: Representation of the ICF in research of speech intelligibility: A systematic review of literature describing deaf and hard-of-hearing children

description: The purpose of this review was to map speech intelligibility measures used for assessing d/Deaf and hard-of-hearing children onto the International Classification of Functioning, Disability and Health. This review considered perceptual speech intelligibility measures (Articulation functions b320) used to assess deaf and hard-of-hearing children aged 12 years and younger. The following electronic databases were searched: CINAHL; ERIC (ProQuest); Linguistic, Language, and Behaviour Abstracts; Scopus; Medline via PubMed; CENTRAL via Ovid; Cochrane via Ovid; and Joanna Briggs via Ovid. Data were extracted describing the article, participant, listener, study, speech intelligibility, and psychometric characteristics from the 245 included studies. Speech intelligibility was measured as articulation functions (b320) through speaking (d330) in all studies. Other Body Functions frequently measured were speech discrimination (b2304; 28%) and mental functions of language (b167; 27%). Activities and Participation factors other than speaking d330 were generally not considered. Speech intelligibility was most often measured in the context of health services (e5800; 66%). Previous research on the speech intelligibility of deaf and hard-of-hearing children has largely lacked a broader perspective of functioning. Clinicians and educators of deaf and hard-of-hearing children should consider Activities and Participation, Environmental, and Personal Factors when assessing speech intelligibility.