cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18014423
title: 2024 antimicrobial resistance monitoring results complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food in 2023/2024 – Poland

description: This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision (EU) 2020/1729. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision (EU) 2020/172. The quantitative minimum inhibitory concentration (MIC) data from dilution methods are included.

Reporting authorities contributing to 2024 AMR data collection: National Veterinary Research Institute
description: PL; xlsx; zoonoses_support@efsa.europa.eu
DOI: 10.34894/iwr8fh
title: Creating Inclusive Societies: Fostering belonging and positive intergroup relations in culturally diverse classrooms

description: Doctoral Thesis
DOI: 10.5281/zenodo.18016744
title: 2024 Antimicrobial resistance monitoring results complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food in 2023/2024 – Croatia

description: This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision (EU) 2020/1729. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision (EU) 2020/1729. The quantitative minimum inhibitory concentration (MIC) data from dilution methods are included.

Reporting authorities contributing to 2024 AMR data collection: Croatian Veterinary Institute
description: HR; xlsx; zoonoses.support@efsa.europa.eu
DOI: 10.5281/zenodo.18016743
title: 2024 Antimicrobial resistance monitoring results complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food in 2023/2024 – Croatia

description: This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision (EU) 2020/1729. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision (EU) 2020/1729. The quantitative minimum inhibitory concentration (MIC) data from dilution methods are included.

Reporting authorities contributing to 2024 AMR data collection: Croatian Veterinary Institute
description: HR; xlsx; zoonoses.support@efsa.europa.eu
DOI: 10.5281/zenodo.18014260
title: 2024 MRSA Prevalence - complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food 2023/2024

description: Data provided by the Member States (Austria, Belgium, Germany,  the Netherlands and Italy) and by two non-member States (Republic of North Macedonia and Norway)  on the 2024 MRSA Prevalence - complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food 2023/2024.

 
description: prevalence; MRSA; xlsx; zoonoses_support@efsa.europa.eu
DOI: 10.5281/zenodo.18014261
title: 2024 MRSA Prevalence - complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food 2023/2024

description: Data provided by the Member States (Austria, Belgium, Germany,  the Netherlands and Italy) and by two non-member States (Republic of North Macedonia and Norway)  on the 2024 MRSA Prevalence - complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food 2023/2024.

 
description: prevalence; MRSA; xlsx; zoonoses_support@efsa.europa.eu
DOI: 10.5281/zenodo.18013928
title: 2024 aggregated dataset submitted on the negative results for routine monitoring, extended-spectrum b-lactamase(ESBL) and the carbapenemase-producers - complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food 2023/2024

description: Data provided by the Member States and other reporting countries on the 2024 on the negative results for AMR routine monitoring, extended-spectrum b-lactamase(ESBL) and the carbapenemase-producers - complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food 2023/2024.
description: AMR; ESBL; CARBA; MS; non-MS; xlsx; zoonoses_support@efsa.europa.eu
DOI: 10.5281/zenodo.18013927
title: 2024 aggregated dataset submitted on the negative results for routine monitoring, extended-spectrum b-lactamase(ESBL) and the carbapenemase-producers - complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food 2023/2024

description: Data provided by the Member States and other reporting countries on the 2024 on the negative results for AMR routine monitoring, extended-spectrum b-lactamase(ESBL) and the carbapenemase-producers - complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food 2023/2024.
description: AMR; ESBL; CARBA; MS; non-MS; xlsx; zoonoses_support@efsa.europa.eu
DOI: 10.34894/sbdngh
title: The diversity teaching beliefs scale: Addressing cultural diversity, communalities between cultures, and the national culture in the classroom

description: This study describes the examination of a new multidimensional measure on teacher beliefs about diversity teaching: the Diversity Teaching Beliefs Scale (DTBS). The DTBS assesses three distinct dimensions of teachers' diversity beliefs: Acknowledging cultural differences (ACD), emphasizing cultural communalities (ECC), and socialization of the national culture (SNC). The findings of three studies on the psychometric properties of the DTBS provide support for its reliability and validity. Moreover, latent profile analyses indicated that the three teacher beliefs co-occurred in different combinations. Overall, the DTBS can be considered a useful instrument to capture the multidimensional nature of teachers’ diversity teaching beliefs.
DOI: 10.15468/dl.55vvg2
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Denmark",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingOrg is 1a4e6112-b3af-402e-b29f-c2ade2167f72",
 "TaxonKey is Muscardinus avellanarius",
 "Year 2024-2026"
 ]
}

 The dataset's 1 records were derived from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026977-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18679575
title: Combined Supramolecular Salicylic Acid and Intense Pulsed Light Versus IPL Monotherapy in Erythematotelangiectatic Rosacea: A Real-World Comparative Study
DOI: 10.5281/zenodo.18679576
title: Combined Supramolecular Salicylic Acid and Intense Pulsed Light Versus IPL Monotherapy in Erythematotelangiectatic Rosacea: A Real-World Comparative Study
DOI: 10.15468/dl.5jfmte
title: Occurrence Download

description: A dataset containing 53806 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Placopecten",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 53806 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026970-260208012135463/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.30042079
title: IVR Bivariate Raw/Aggregated data (CaGIS submission)

description: Raw data generated by IVR applications used as testing platforms for evaluating the impact of map literacy and visualisation method on user performance in immersive virtual reality settings. Plus aggregated data used for statistical analysis.
DOI: 10.6084/m9.figshare.30042079.v1
title: IVR Bivariate Raw/Aggregated data (CaGIS submission)

description: Raw data generated by IVR applications used as testing platforms for evaluating the impact of map literacy and visualisation method on user performance in immersive virtual reality settings. Plus aggregated data used for statistical analysis.
DOI: 10.15468/dl.tvq8sn
title: Occurrence Download

description: A dataset containing 3145677101 species occurrences available in GBIF matching the query:
{ }

 The dataset includes 3145677101 records from 72074 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009730-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18439391
title: Supplementary data: Excited Electronic States of Sr2: Ab Initio Predictions and Experimental Observation of the 2^1Σ_u^+ State

description: Theoretical and experimental potential energy curves of the 21Σ+u state in the Sr2 molecule.Experimental energies of the observed rovibrational levels in the 21Σ+u state.

Supplementary data toExcited electronic states of Sr2: ab initio predictions and experimental observation of the 21Σ+u stateJ. Szczepkowski, M. Gronowski, A. Grochola, W. Jastrzebski, M. Tomza, P. Kowalczyk

 doi:10.1021/acs.jpca.3c02056 

This folder contains in ASCII format: 

Sr2_EnergyLevels.dat   List of experimentally observed energy levels obtained via Polarization Labeling SpectroscopySr2_RKR_2sSigma_p_u.dat    The RKR PEC of the 21Σ+u state

CIPT2Q5Z.zip    The ab initio PEC calculated with the CIPTQ5Z method, The archive contains files:Sr2_CIPT2Q5Z_1De_u.txtSr2_CIPT2Q5Z_1Pi_u.txtSr2_CIPT2Q5Z_1Sg_u.txtSr2_CIPT2Q5Z_2Pi_u.txtSr2_CIPT2Q5Z_2Sg_u.txtecpCCSDT3CBS.zip    The ab initio PEC calculated with the ecpCCSDT3CBS methodThe archive contains files:Sr2_ecpCCSDT3CBS_2Sg_u.txtSr2_ecpCCSDT3CBS_2Pi_u.txtSr2_ecpCCSDT3CBS_1Sg_u.txtSr2_ecpCCSDT3CBS_1Pi_u.txtSr2_ecpCCSDT3CBS_1De_u.txtsMRCIQ5Z.zip    The ab initio PEC calculated with the sMRCIQ5Z method

The archive contains files:Sr2_sMRCIQ5Z_t_PIu.txtSr2_sMRCIQ5Z_t_PIg.txtSr2_sMRCIQ5Z_q_PIu.txtSr2_sMRCIQ5Z_q_PIg.txtSr2_sMRCIQ5Z_t_SIGup.txtSr2_sMRCIQ5Z_s_PIu.txtSr2_sMRCIQ5Z_t_SIGgp.txtSr2_sMRCIQ5Z_s_SIGgp.txtSr2_sMRCIQ5Z_q_SIGgp.txtSr2_sMRCIQ5Z_t_SIGum.txtSr2_sMRCIQ5Z_s_PIg.txtSr2_sMRCIQ5Z_t_SIGgm.txtSr2_sMRCIQ5Z_s_SIGup.txtSr2_sMRCIQ5Z_s_SIGgm.txtSr2_sMRCIQ5Z_q_SIGum.txtSr2_sMRCIQ5Z_q_DELg.txtSr2_sMRCIQ5Z_t_DELg.txtSr2_sMRCIQ5Z_s_DELg.txtSr2_sMRCIQ5Z_q_SIGup.txtSr2_sMRCIQ5Z_t_DELu.txtSr2_sMRCIQ5Z_s_SIGum.txtSr2_sMRCIQ5Z_q_SIGgm.txtSr2_sMRCIQ5Z_q_DELu.txtSr2_sMRCIQ5Z_s_DELu.txt
DOI: 10.5281/zenodo.18439390
title: Supplementary data: Excited Electronic States of Sr2: Ab Initio Predictions and Experimental Observation of the 2^1Σ_u^+ State

description: Theoretical and experimental potential energy curves of the 21Σ+u state in the Sr2 molecule.Experimental energies of the observed rovibrational levels in the 21Σ+u state.

Supplementary data toExcited electronic states of Sr2: ab initio predictions and experimental observation of the 21Σ+u stateJ. Szczepkowski, M. Gronowski, A. Grochola, W. Jastrzebski, M. Tomza, P. Kowalczyk

 doi:10.1021/acs.jpca.3c02056 

This folder contains in ASCII format: 

Sr2_EnergyLevels.dat   List of experimentally observed energy levels obtained via Polarization Labeling SpectroscopySr2_RKR_2sSigma_p_u.dat    The RKR PEC of the 21Σ+u state

CIPT2Q5Z.zip    The ab initio PEC calculated with the CIPTQ5Z method, The archive contains files:Sr2_CIPT2Q5Z_1De_u.txtSr2_CIPT2Q5Z_1Pi_u.txtSr2_CIPT2Q5Z_1Sg_u.txtSr2_CIPT2Q5Z_2Pi_u.txtSr2_CIPT2Q5Z_2Sg_u.txtecpCCSDT3CBS.zip    The ab initio PEC calculated with the ecpCCSDT3CBS methodThe archive contains files:Sr2_ecpCCSDT3CBS_2Sg_u.txtSr2_ecpCCSDT3CBS_2Pi_u.txtSr2_ecpCCSDT3CBS_1Sg_u.txtSr2_ecpCCSDT3CBS_1Pi_u.txtSr2_ecpCCSDT3CBS_1De_u.txtsMRCIQ5Z.zip    The ab initio PEC calculated with the sMRCIQ5Z method

The archive contains files:Sr2_sMRCIQ5Z_t_PIu.txtSr2_sMRCIQ5Z_t_PIg.txtSr2_sMRCIQ5Z_q_PIu.txtSr2_sMRCIQ5Z_q_PIg.txtSr2_sMRCIQ5Z_t_SIGup.txtSr2_sMRCIQ5Z_s_PIu.txtSr2_sMRCIQ5Z_t_SIGgp.txtSr2_sMRCIQ5Z_s_SIGgp.txtSr2_sMRCIQ5Z_q_SIGgp.txtSr2_sMRCIQ5Z_t_SIGum.txtSr2_sMRCIQ5Z_s_PIg.txtSr2_sMRCIQ5Z_t_SIGgm.txtSr2_sMRCIQ5Z_s_SIGup.txtSr2_sMRCIQ5Z_s_SIGgm.txtSr2_sMRCIQ5Z_q_SIGum.txtSr2_sMRCIQ5Z_q_DELg.txtSr2_sMRCIQ5Z_t_DELg.txtSr2_sMRCIQ5Z_s_DELg.txtSr2_sMRCIQ5Z_q_SIGup.txtSr2_sMRCIQ5Z_t_DELu.txtSr2_sMRCIQ5Z_s_SIGum.txtSr2_sMRCIQ5Z_q_SIGgm.txtSr2_sMRCIQ5Z_q_DELu.txtSr2_sMRCIQ5Z_s_DELu.txt
DOI: 10.34894/asrkvm
title: Citizenship in the Elementary Classroom Through the Lens of Peer Relations

description: We explored the potential of using a peer relations approach for researching children’s citizenship in elementary classrooms. Children express or enact citizenship through their behavior toward classmates and the relationships they engage in (i.e., lived citizenship). These behaviors and relationships can be more or less in line with goals for citizenship education. We propose that, through peer relations methodology, these behaviors and relationships can be assessed systematically. In addition, some of the widely researched behaviors and relationships in peer relations research already closely align with goals for citizenship education. With this theoretical and methodological argument, we consider recent publications on classroom behaviors (i.e., prosocial behavior and aggression) and relationships (i.e., positive and negative affect) and their meaning for exemplary goals for citizenship education (i.e., solidarity, peace, and social cohesion). We show how individual children and classroom peer groups differ in these regards and thus in their citizenship and how these differences can be stratified by gender, ethnic background, and socioeconomic status. Specific attention is paid to the role of teachers, as organizers of the social structures in their classrooms and as educators who can promote citizenship. Finally, we propose new ways for using peer reports to study citizenship in elementary classrooms more directly and to discover potential avenues for teachers to foster citizenship through peer relations.
DOI: 10.15468/dl.6x2dpe
title: Occurrence Download

description: A dataset containing 934254 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "GadmGid is one of (ISR, PSE)",
 "Year 2023-2023"
 ]
}

 The dataset includes 934254 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026967-260208012135463/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.30676161
title: Integrating dynamic features into machine learning models for predicting sewer network failures: a Random Forest approach

description: Sewer blockages and flooding remain persistent challenges. Water utilities often deploy labour-intensive, iteratrive approaches, such as repeated CCTV inspections and jetting, to detect and address these problems. Recently, machine learning (ML) based asset failure prediction has emerged as a cost-effective alternative, enabling proactive identification of vulnerable pipe sections that can then be the focus for inspection and intervention. Early ML-based predictive models primarily focused on non-dynamic factors, such as physical pipe attributes, while newer approaches have incorporated dynamic variables like rainfall and pipe flow, resulting in significant accuracy improvements. This study examines the integration of sediment transport mechanics, using network hydraulic model derived parameters, into a predictive Random Forest (RF) model. Results demonstrate that incorporating dynamic features representing sediment transport capacity and its spatial variation considerably enhances the RF model’s predictive power, offering a more reliable tool for identifying and managing blockages, and flooding in combined sewer networks.
DOI: 10.6084/m9.figshare.30676161.v1
title: Integrating dynamic features into machine learning models for predicting sewer network failures: a Random Forest approach

description: Sewer blockages and flooding remain persistent challenges. Water utilities often deploy labour-intensive, iteratrive approaches, such as repeated CCTV inspections and jetting, to detect and address these problems. Recently, machine learning (ML) based asset failure prediction has emerged as a cost-effective alternative, enabling proactive identification of vulnerable pipe sections that can then be the focus for inspection and intervention. Early ML-based predictive models primarily focused on non-dynamic factors, such as physical pipe attributes, while newer approaches have incorporated dynamic variables like rainfall and pipe flow, resulting in significant accuracy improvements. This study examines the integration of sediment transport mechanics, using network hydraulic model derived parameters, into a predictive Random Forest (RF) model. Results demonstrate that incorporating dynamic features representing sediment transport capacity and its spatial variation considerably enhances the RF model’s predictive power, offering a more reliable tool for identifying and managing blockages, and flooding in combined sewer networks.
DOI: 10.6084/m9.figshare.30335299
title: Predicting the structural condition of sewer pipes: a comparative analysis of Random Forest and logistic regression models

description: Ensuring the long-term sustainability of wastewater infrastructure requires proactive management. This involves identifying deteriorated pipes in the sewer network that may pose risks, enabling effective planning of rehabilitation interventions. However, conducting Closed-Circuit Television (CCTV) inspections is costly and resource-intensive, limiting their use to a small portion of the network. The present study aims to model and predict the structural condition of the pipes in the sewer network of the city of Bejaia. To achieve this, we applied binary logistic regression and Random Forest models. For the logistic regression model, we incorporated interaction terms to capture the complex relationships between the predictors and the outcome. For the Random Forest model, we tested different cutoff thresholds to optimize classification performance and determine the optimal decision boundary for predicting pipe deterioration. The results have shown that the Random Forest model demonstrates superior overall performance (70%) compared to the logistic regression model (59%).
DOI: 10.6084/m9.figshare.30335299.v1
title: Predicting the structural condition of sewer pipes: a comparative analysis of Random Forest and logistic regression models

description: Ensuring the long-term sustainability of wastewater infrastructure requires proactive management. This involves identifying deteriorated pipes in the sewer network that may pose risks, enabling effective planning of rehabilitation interventions. However, conducting Closed-Circuit Television (CCTV) inspections is costly and resource-intensive, limiting their use to a small portion of the network. The present study aims to model and predict the structural condition of the pipes in the sewer network of the city of Bejaia. To achieve this, we applied binary logistic regression and Random Forest models. For the logistic regression model, we incorporated interaction terms to capture the complex relationships between the predictors and the outcome. For the Random Forest model, we tested different cutoff thresholds to optimize classification performance and determine the optimal decision boundary for predicting pipe deterioration. The results have shown that the Random Forest model demonstrates superior overall performance (70%) compared to the logistic regression model (59%).
DOI: 10.6084/m9.figshare.29979711
title: Pollen morphological analogue of some Himalayan angiosperm species from Arunachal Pradesh, Northeast India

description: The morphological diversity of pollen grains can provide important information about several aspects of plant science. The pollen morphological database remains scarce in this eastern Himalayan province of the Indian biogeographic zone, despite the rich diversity of angiosperms. The detailed pollen morphometry of various plant taxa from the Arunachal Pradesh region will enhance the palynological database of the eastern Himalaya. Light compound microscopy (LM) and scanning electron microscopy (SEM) were employed to identify and characterize pollen grains. Based on the qualitative and quantitative morphological data of 60 angiosperm species from 35 families, statistical analyses (principal component analysis, cluster analysis, and correlation analysis) were performed, explaining the phylogenetic relationships among these families. In addition to their interrelationships, these morphological data also provide insights into the primary pollination modes (entomophily or anemophily) and the evolutionary trends of pollen grains in these families. Besides, the pollen morphological data of endemic angiosperm species, along with data from other families, could provide preliminary insights into the vegetation and palynology-related research of the eastern Himalayan landscape of Arunachal Pradesh.
DOI: 10.6084/m9.figshare.29979711.v2
title: Pollen morphological analogue of some Himalayan angiosperm species from Arunachal Pradesh, Northeast India

description: The morphological diversity of pollen grains can provide important information about several aspects of plant science. The pollen morphological database remains scarce in this eastern Himalayan province of the Indian biogeographic zone, despite the rich diversity of angiosperms. The detailed pollen morphometry of various plant taxa from the Arunachal Pradesh region will enhance the palynological database of the eastern Himalaya. Light compound microscopy (LM) and scanning electron microscopy (SEM) were employed to identify and characterize pollen grains. Based on the qualitative and quantitative morphological data of 60 angiosperm species from 35 families, statistical analyses (principal component analysis, cluster analysis, and correlation analysis) were performed, explaining the phylogenetic relationships among these families. In addition to their interrelationships, these morphological data also provide insights into the primary pollination modes (entomophily or anemophily) and the evolutionary trends of pollen grains in these families. Besides, the pollen morphological data of endemic angiosperm species, along with data from other families, could provide preliminary insights into the vegetation and palynology-related research of the eastern Himalayan landscape of Arunachal Pradesh.