cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30978199
title: Supplementary Material for: Drug reaction with eosinophilia and systemic symptoms (DRESS) in the electronic medical record (EMR)

description: Background: Drug reaction with eosinophilia and systemic symptoms (DRESS) is a rare severe cutaneous adverse reaction (SCAR), which can be life threatening.(1) The reporting of DRESS in Australian electronic medical records (EMRs) has not been studied.

Methods: A dual ascertainment strategy was employed in this multi-centre, retrospective study. Part 1 involved data collection from a 2.5-year cohort of consecutive inpatient admissions. Patients with an adverse reaction (AR) label of DRESS, eosinophilia or severe rash were identified, along with the causative agents. Part 2 involved evaluating the AR label documentation for patients from an independently derived list of confirmed DRESS cases from an immunology department register. Case note review was undertaken for all possible cases of DRESS that were identified, and RegiSCAR scores were calculated.

Results: Of the 135,080 inpatients from Part 1, there were 17 patients (prevalence 12.59 per 100,000) with at least possible DRESS (RegiSCAR &gt; 2). The prevalence of patients with a RegiSCAR score consistent with probable or definite DRESS was 6.66 per 100,000 individuals. Amongst the 135,080 patients, 12 individuals had a DRESS AR label on the EMR (prevalence 8.88 per 100,000). In Part 2 of the study, 16 confirmed DRESS cases were identified from an Immunology department register over a period of 8 years. The mean age of this group was 49.3 at diagnosis (SD 21.58) and 50% were female (n = 8). Of the 16 cases, 14 (87.5%) were correctly labelled as “DRESS syndrome” in the EMR. In total, there were 31 patients with at least possible DRESS identified, with two cases (6.45%) of false negative AR documentation, and one case (3.23%) of false positive AR documentation. The most common drug culprits were vancomycin (n = 11, 29.7%), penicillin-based antibiotics (n = 9, 24.3%), and carbamazepine (n = 3, 8.1%).

Conclusion: 
The prevalence of EMR-documented DRESS syndrome in South Australia is higher than seen in other studies. Most DRESS was caused by antibiotics. The majority of patients were documented correctly in the EMR as far as can be determined.
DOI: 10.6084/m9.figshare.30978199.v1
title: Supplementary Material for: Drug reaction with eosinophilia and systemic symptoms (DRESS) in the electronic medical record (EMR)

description: Background: Drug reaction with eosinophilia and systemic symptoms (DRESS) is a rare severe cutaneous adverse reaction (SCAR), which can be life threatening.(1) The reporting of DRESS in Australian electronic medical records (EMRs) has not been studied.

Methods: A dual ascertainment strategy was employed in this multi-centre, retrospective study. Part 1 involved data collection from a 2.5-year cohort of consecutive inpatient admissions. Patients with an adverse reaction (AR) label of DRESS, eosinophilia or severe rash were identified, along with the causative agents. Part 2 involved evaluating the AR label documentation for patients from an independently derived list of confirmed DRESS cases from an immunology department register. Case note review was undertaken for all possible cases of DRESS that were identified, and RegiSCAR scores were calculated.

Results: Of the 135,080 inpatients from Part 1, there were 17 patients (prevalence 12.59 per 100,000) with at least possible DRESS (RegiSCAR &gt; 2). The prevalence of patients with a RegiSCAR score consistent with probable or definite DRESS was 6.66 per 100,000 individuals. Amongst the 135,080 patients, 12 individuals had a DRESS AR label on the EMR (prevalence 8.88 per 100,000). In Part 2 of the study, 16 confirmed DRESS cases were identified from an Immunology department register over a period of 8 years. The mean age of this group was 49.3 at diagnosis (SD 21.58) and 50% were female (n = 8). Of the 16 cases, 14 (87.5%) were correctly labelled as “DRESS syndrome” in the EMR. In total, there were 31 patients with at least possible DRESS identified, with two cases (6.45%) of false negative AR documentation, and one case (3.23%) of false positive AR documentation. The most common drug culprits were vancomycin (n = 11, 29.7%), penicillin-based antibiotics (n = 9, 24.3%), and carbamazepine (n = 3, 8.1%).

Conclusion: 
The prevalence of EMR-documented DRESS syndrome in South Australia is higher than seen in other studies. Most DRESS was caused by antibiotics. The majority of patients were documented correctly in the EMR as far as can be determined.
DOI: 10.15468/dl.n89xxv
title: Occurrence Download

description: A dataset containing 320512 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aechmophorus clarkii",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-180 -90, 180 -90, 180 90, -180 90, -180 -90))"
 ]
}

 The dataset includes 320512 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069704-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ceezk3
title: Occurrence Download

description: A dataset containing 264871 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Czechia",
 "TaxonKey is Insecta"
 ]
}

 The dataset includes 264871 records from 423 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069701-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18105851
title: WC dataset
DOI: 10.5281/zenodo.18105852
title: WC dataset
DOI: 10.18112/openneuro.ds007156.v1.0.0
title: Neural correlates of implicit memory for reoccurring sound patterns
DOI: 10.5281/zenodo.18067240
title: Understanding Dominant Themes in Reviewing Agentic AI-authored Code
DOI: 10.5281/zenodo.18067241
title: Understanding Dominant Themes in Reviewing Agentic AI-authored Code
DOI: 10.57903/uj/2nxjee
title: Structure-Activity Relationship and Solubility Studies of N1-Substituted Quinoxaline-2,3 -diones as Kainate Receptor Antagonists - replication data

description: Chemical and spectroscopy data for compounds described in the paper "Structure-Activity Relationship and Solubility Studies of N1-Substituted Quinoxaline-2,3-diones as Kainate Receptor Antagonists"
DOI: 10.82503/aqora.2512.6kkjp
title: Logical gates on Floquet codes via folds and twists
DOI: 10.5281/zenodo.18105438
title: Datasets supporting D1.2 – Perceptions, acceptance levels and needs on biogas (ALFA project)

description: This Zenodo record contains the two anonymised survey datasets used in Deliverable D1.2“Perceptions, acceptance levels and needs on biogas” of the Horizon Europe project ALFA(GA No. 101075659).

Dataset 1: Citizens’ survey (n = 2,997), collected across EU Member States via Prolific,investigating awareness, perceptions, social acceptance and attitudes towards biogasproduced from livestock manure.

Dataset 2: Regional experts and stakeholders survey (n = 269), collected via SurveyMonkey,targeting actors from the biogas value chain (farmers, industry, academia, authorities,civil society).

Both datasets are fully anonymised and comply with GDPR. They were used for descriptivestatistics and regression analyses presented in D1.2 (WP1, Task 1.2).
DOI: 10.5281/zenodo.18105439
title: Datasets supporting D1.2 – Perceptions, acceptance levels and needs on biogas (ALFA project)

description: This Zenodo record contains the two anonymised survey datasets used in Deliverable D1.2“Perceptions, acceptance levels and needs on biogas” of the Horizon Europe project ALFA(GA No. 101075659).

Dataset 1: Citizens’ survey (n = 2,997), collected across EU Member States via Prolific,investigating awareness, perceptions, social acceptance and attitudes towards biogasproduced from livestock manure.

Dataset 2: Regional experts and stakeholders survey (n = 269), collected via SurveyMonkey,targeting actors from the biogas value chain (farmers, industry, academia, authorities,civil society).

Both datasets are fully anonymised and comply with GDPR. They were used for descriptivestatistics and regression analyses presented in D1.2 (WP1, Task 1.2).
DOI: 10.15468/dl.7scqn6
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tamarix tarimensis"
 ]
}

 The dataset includes 14 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069710-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57903/uj/cjg7m1
title: Discovery of the First Highly Selective Antagonist of the GluK3 Kainate Receptor Subtype - replication data

description: Spectroscopy data for chemical compounds described in the paper "Discovery of the First Highly Selective Antagonist of the GluK3 Kainate Receptor Subtype"
DOI: 10.34740/kaggle/dsv/14352634
title: Trending Youtube Video Statistics (113 Countries)
DOI: 10.57903/uj/mziwex
title: Low-temperature NO conversion with NH3 over cerium-doped MWW derivatives activated with copper species - research data
title: Niskotemperaturowa konwersja NO za pomocą NH3 w obecności pochodnych MWW dotowanych cerem i modyfikowanych miedzią

description: Data related to the research based on "Low-temperature NO conversion with NH3 over 
cerium-doped MWW derivatives activated with copper species".
The results of physicochemical characterization (P-XRD, low-temperature N2-sorption, UV-vis-DR, NH3-TPD, H2-TPR) and catalytic studies in the process of selective catalytic reduction of NO with ammonia.
DOI: 10.5517/ccdc.csd.cc2jvdsl
title: CCDC 2349080: Experimental Crystal Structure Determination

description: Related Article: Yu-Cong Chen, Wenbin Yia, Qiong Yu|2024|ChemRxiv|||doi:10.26434/chemrxiv-2024-9d5r4
description: Related Article: Yu-Cong Chen, Qiong Yu, Yifan Gao, Tao Li, Kejia Peng, Wenbin Yi|2025|J.Org.Chem.|||doi:10.1021/acs.joc.5c02514
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.30978232
title: Greek Shark Logbook 2025

description: The Greek Shark Logbook 2025 is a citizen science initiative aimed at monitoring shark occurrences across Greek waters. This dataset compiles verified observations submitted by divers, fishers, researchers, and other marine enthusiasts during 2025. It includes species identification, abundance, gender, age, length, weight, precise geographic coordinates, date and time of observation, and environmental context such as depth when available.The project aims to improve understanding of shark distribution patterns, support conservation efforts, and provide baseline data for policy-making and scientific research in the Mediterranean region.
DOI: 10.6084/m9.figshare.30978232.v1
title: Greek Shark Logbook 2025

description: The Greek Shark Logbook 2025 is a citizen science initiative aimed at monitoring shark occurrences across Greek waters. This dataset compiles verified observations submitted by divers, fishers, researchers, and other marine enthusiasts during 2025. It includes species identification, abundance, gender, age, length, weight, precise geographic coordinates, date and time of observation, and environmental context such as depth when available.The project aims to improve understanding of shark distribution patterns, support conservation efforts, and provide baseline data for policy-making and scientific research in the Mediterranean region.
DOI: 10.57903/uj/l0xboh
title: Barriers to digital inclusion - qualitative data

description: The data collected through structured interviews with 30 respondents in Poland. The research specifically focuses on the barriers to digital inclusion for older people, as identified by younger and middle-aged adults. The respondents themselves did not belong to the older demographic, which presents both a limitation and a unique perspective in the study.
The qualitative approach used interviews to gather perceptions and insights regarding the challenges older people face in developing digital competences. The responses were analyzed using grounded theory to identify and categorize various barriers, resulting in eight main categories: fear of new technologies, lack of need for ICT, self-marginalization, new media characteristics, attitude towards life-long learning, physical limitations, economic constraints, and infrastructural limitations​.
DOI: 10.34740/kaggle/dsv/14352699
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.15738791
title: Multiphase-Field_Modeling_of_Discontinious_Dynamic_Recrystallization
DOI: 10.5281/zenodo.15738792
title: Multiphase-Field_Modeling_of_Discontinious_Dynamic_Recrystallization
DOI: 10.15468/dl.35aeuu
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Zanthoxylum armatum"
 ]
}

 The dataset includes 52 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069712-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18099187
title: Supplementary materials for the paper "In Search of Evidence on Government Software Engineering Practices: Results from Three Rapid Reviews"

description: This document provides the supplementary materials for our study, “In Search of Evidence on Government Software Engineering Practices: Results from Three Rapid Reviews.” The study examines the scarcity of peer-reviewed evidence about software engineering (SE) practices within government bodies, a potential barrier for agencies interested in adopting Evidence-Based Software Engineering (EBSE) to strengthen research and policy-making. To assess the state of the evidence base, we conducted three rapid reviews of 2024 publications: one targeting top-tier SE venues, one focusing on regional South American SE venues, and one screening a newsletter that curates research on government digitalization. The material provides the list of the screened studies, grouped by source. The selected studies are presented in the paper.
DOI: 10.5281/zenodo.18099188
title: Supplementary materials for the paper "In Search of Evidence on Government Software Engineering Practices: Results from Three Rapid Reviews"

description: This document provides the supplementary materials for our study, “In Search of Evidence on Government Software Engineering Practices: Results from Three Rapid Reviews.” The study examines the scarcity of peer-reviewed evidence about software engineering (SE) practices within government bodies, a potential barrier for agencies interested in adopting Evidence-Based Software Engineering (EBSE) to strengthen research and policy-making. To assess the state of the evidence base, we conducted three rapid reviews of 2024 publications: one targeting top-tier SE venues, one focusing on regional South American SE venues, and one screening a newsletter that curates research on government digitalization. The material provides the list of the screened studies, grouped by source. The selected studies are presented in the paper.
DOI: 10.57903/uj/6gd4rc
title: Creation and use of Open Educational Resources (YouTube) by teachers - quantitative data

description: The data is quantitative in nature. The study collected data from 2,157 teachers in Spain. The sample included active teachers from various educational levels including infant, primary, secondary, adult, and professional training stages. Gender distribution: 1,527 female teachers (70.80%), 630 male teachers (29.20%). The study used an ad hoc questionnaire to assess teachers' digital competence in using YouTube as a learning resource. Data structure: The instrument consisted of 13 items divided into three dimensions: Digital-Communication Competence (CD-C), Digital-Information Competence (CD-I), Digital Competence-Content Creation (CD-CC). Measurement scale: A 7-point Likert scale was used, with each value corresponding to a specific digital skill level. This quantitative study used a non-experimental, cross-sectional, descriptive, inferential, and correlational design with intentional (non-probabilistic) sampling among Spanish teachers.
DOI: 10.15468/dl.38f6am
title: Occurrence Download

description: A dataset containing 596384 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phalaropus lobatus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-180 -90, 180 -90, 180 90, -180 90, -180 -90))"
 ]
}

 The dataset includes 596384 records from 422 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069707-251120083545085/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.30978241
title: Particulate and mineral-associated organic carbon stocks across long-term vegetation restoration

description: Particulate and mineral-associated organic carbon stocks across long-term vegetation restoration
DOI: 10.6084/m9.figshare.30978241.v1
title: Particulate and mineral-associated organic carbon stocks across long-term vegetation restoration

description: Particulate and mineral-associated organic carbon stocks across long-term vegetation restoration
DOI: 10.15468/dl.k8b3as
title: Occurrence Download

description: A dataset containing 735 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-1.61507 47.25593,-1.58758 47.25593,-1.58758 47.26691,-1.61507 47.26691,-1.61507 47.25593))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia",
 "Year 2015-2025"
 ]
}

 The dataset includes 735 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069714-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x8tgdd
title: Occurrence Download

description: A dataset containing 217551 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "TaxonKey is Alcedo atthis"
 ]
}

 The dataset includes 217551 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069709-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57903/uj/gqeix7
title: Digital inclusion in an intergenerational perspective - qualitative data

description: The data represents perspectives of young adults on intergenerational approaches to promoting digital inclusion and developing digital/media literacy among seniors, collected through an online platform as part of a broader international project on media literacy. Responses to two open-ended questions about: a) Forms of promoting digital inclusion among senior citizens b) Ways young people can help develop digital and media literacy among seniors Qualitative data analysis using open coding and continuous comparison methods, following approaches by Uwe Flick and Graham Gibbs. Grounded theory approach was used to look for new elements in defining digital and media literacy necessary for senior citizens.
DOI: 10.5281/zenodo.17970219
title: Data for: Exploring the Relationship Between Decreased Sound Tolerance and Neural Attention Processing: An ERP Study

description: For each dataset, the date field should be regarded as the participant number.

"group" indicates the group to which each participant was assigned at the time of analysis.

"questionnaire_en" contains the raw response data for questionnaires related to decreased sound tolerance as well as a face sheet. The questionnaire was administered in Japanese, and this file is a machine-translated version. The face sheet includes information on diagnoses of developmental disorders and psychiatric conditions, self-reported sensory hypersensitivity, sex, and age.

"Behavior" includes accuracy and reaction time (RT) data from the pure-tone n-back task. Each participant completed two runs for both the 1-back and 2-back conditions; therefore, performance is reported separately for each run.

"ERP_1back" and "ERP_2back" present individual averaged ERP waveforms elicited by task-irrelevant white noise during the pure-tone n-back task, sampled at 2-ms intervals.
DOI: 10.5281/zenodo.17970218
title: Data for: Exploring the Relationship Between Decreased Sound Tolerance and Neural Attention Processing: An ERP Study

description: For each dataset, the date field should be regarded as the participant number.

"group" indicates the group to which each participant was assigned at the time of analysis.

"questionnaire_en" contains the raw response data for questionnaires related to decreased sound tolerance as well as a face sheet. The questionnaire was administered in Japanese, and this file is a machine-translated version. The face sheet includes information on diagnoses of developmental disorders and psychiatric conditions, self-reported sensory hypersensitivity, sex, and age.

"Behavior" includes accuracy and reaction time (RT) data from the pure-tone n-back task. Each participant completed two runs for both the 1-back and 2-back conditions; therefore, performance is reported separately for each run.

"ERP_1back" and "ERP_2back" present individual averaged ERP waveforms elicited by task-irrelevant white noise during the pure-tone n-back task, sampled at 2-ms intervals.
DOI: 10.15468/dl.tf3eek
title: Occurrence Download

description: A dataset containing 2925292 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((-170.38473 60,-170.39541 59.39104,-170.39878 58.78032,-170.39479 58.1696,-170.38346 57.55898,-170.36478 56.94854,-170.33876 56.33836,-170.30423 55.7095,-170.25917 55.44256,-170.16788 55,-170.03324 54.4793,-169.86957 53.96326,-169.6941 53.49604,-169.53425 53.12277,-169.35555 52.74877,-169.23052 52.50866,-169.05235 52.19152,-168.76605 51.73205,-168.42489 51.2481,-168.22255 50.98752,-167.87781 50.58112,-167.55949 50.24182,-167.31342 50,-123.38036 50,-125.63036 55,-126.88015 57.77731,-127.12865 58.18059,-127.51248 58.79191,-127.90251 59.39928,-128.29695 60,-128.53685 60.35898,-128.94279 60.95585,-129.35478 61.54855,-129.77279 62.13702,-130.19677 62.72121,-130.62667 63.30105,-131.06245 63.87648,-131.50407 64.44745,-131.9404 65,-170.0194 65,-170.08965 64.39912,-170.1533 63.79172,-170.20964 63.1836,-170.25865 62.57484,-170.30034 61.96553,-170.33469 61.35577,-170.3617 60.74564,-170.38473 60))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Passeriformes, Passeriformes)",
 "Year 2015-2024"
 ]
}

 The dataset includes 2925292 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069711-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.