cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18814773
title: EFFECTIVENESS OF THE APPLICATION OF INNOVATIVE PEDAGOGICAL TECHNOLOGIES IN PRESCHOOL EDUCATION

description: This article provides a broad and in-depth scientific analysis of the effectiveness of innovative pedagogical technologies in preschool education. Based on Uzbekistan’s "Ilk Qadam" (First Step) state curriculum, education policy documents, local empirical research, international meta-analyses, and longitudinal observations, the article details the impact of innovative technologies on children's cognitive, intellectual, emotional, social, and creative development. The results indicate that interactive methods, project-based learning, the STEAM approach, gamification, digital tools, sensory integration, and individually tailored technologies increase children's interest, develop linguistic and mathematical skills, ensure emotional stability, and significantly improve the overall effectiveness of the educational process. However, this effectiveness depends on the qualifications of educators, resource availability, and the proper pedagogical application of technologies. The article provides evidence-based recommendations for preschool practitioners, administrators, and policymakers.
DOI: 10.5281/zenodo.18814774
title: EFFECTIVENESS OF THE APPLICATION OF INNOVATIVE PEDAGOGICAL TECHNOLOGIES IN PRESCHOOL EDUCATION

description: This article provides a broad and in-depth scientific analysis of the effectiveness of innovative pedagogical technologies in preschool education. Based on Uzbekistan’s "Ilk Qadam" (First Step) state curriculum, education policy documents, local empirical research, international meta-analyses, and longitudinal observations, the article details the impact of innovative technologies on children's cognitive, intellectual, emotional, social, and creative development. The results indicate that interactive methods, project-based learning, the STEAM approach, gamification, digital tools, sensory integration, and individually tailored technologies increase children's interest, develop linguistic and mathematical skills, ensure emotional stability, and significantly improve the overall effectiveness of the educational process. However, this effectiveness depends on the qualifications of educators, resource availability, and the proper pedagogical application of technologies. The article provides evidence-based recommendations for preschool practitioners, administrators, and policymakers.
DOI: 10.15468/dl.xsuxs5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "DistanceFromCentroidInMeters is greater than or equal to 2000",
 "Geometry POLYGON ((105.610544 14.999999, 179.999961 14.999999, 179.999961 65.08290100000001, 105.610544 65.08290100000001, 105.610544 14.999999))",
 "TaxonKey is Clupisoma montana"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004280-260226173443078/datasets/export for details.
DOI: 10.15468/dl.db5bf2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "DistanceFromCentroidInMeters is greater than or equal to 2000",
 "Geometry POLYGON ((105.610544 14.999999, 179.999961 14.999999, 179.999961 65.08290100000001, 105.610544 65.08290100000001, 105.610544 14.999999))",
 "TaxonKey is Clupisoma prateri"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004281-260226173443078/datasets/export for details.
DOI: 10.6084/m9.figshare.31436875
title: Dataset for "Anatomical Feasibility of Using Shark Screw® Tendon for Humeral Ligament

description: This dataset contains the complete anatomical and biomechanical raw data generated in an exploratory cadaveric feasibility study evaluating the use of the Shark Screw® Tendon for humeral fixation in medial ulnar collateral ligament (UCL) and lateral ulnar collateral ligament (LUCL) reconstruction of the elbow.The study was performed on 16 unfixed upper extremity specimens from adult body donors. After anatomical preparation, triceps tendon grafts (approx. 70 × 5 mm) were harvested and used for ligament reconstruction. Ulnar fixation was performed using an Endobutton technique, while humeral fixation was achieved using the Shark Screw® Tendon (5.0 mm diameter, 15 mm length). In selected specimens, fixation using a biocomposite interference screw (Swivelock 4.75 mm) was performed for comparison.The dataset includes:Demographic specimen dataDocumentation of surgical feasibility Drilling orientationTunnel dimensions and implant specificationsQuantitative measurements of graft elongationafter cyclic flexion–extension testingafter cyclic pronation–supination testingAxial load-to-failure measurements assessing humeral fixation strengthDocumentation of failure modeMeasurement protocols and surgical workflow documentationFor primary stability assessment, graft position at the humeral entry point was marked and displacement was measured after cyclic loading. Subsequently, a linearly increasing axial force was applied until fixation failure occurred, and maximum load-to-failure was recorded.All specimens were pseudonymized prior to data acquisition and analysis. No identifiable personal data are included.The dataset enables reproducibility of the reported results and allows independent verification of anatomical feasibility and primary biomechanical stability of humeral fixation using the Shark Screw® Tendon.
DOI: 10.6084/m9.figshare.31436875.v1
title: Dataset for "Anatomical Feasibility of Using Shark Screw® Tendon for Humeral Ligament

description: This dataset contains the complete anatomical and biomechanical raw data generated in an exploratory cadaveric feasibility study evaluating the use of the Shark Screw® Tendon for humeral fixation in medial ulnar collateral ligament (UCL) and lateral ulnar collateral ligament (LUCL) reconstruction of the elbow.The study was performed on 16 unfixed upper extremity specimens from adult body donors. After anatomical preparation, triceps tendon grafts (approx. 70 × 5 mm) were harvested and used for ligament reconstruction. Ulnar fixation was performed using an Endobutton technique, while humeral fixation was achieved using the Shark Screw® Tendon (5.0 mm diameter, 15 mm length). In selected specimens, fixation using a biocomposite interference screw (Swivelock 4.75 mm) was performed for comparison.The dataset includes:Demographic specimen dataDocumentation of surgical feasibility Drilling orientationTunnel dimensions and implant specificationsQuantitative measurements of graft elongationafter cyclic flexion–extension testingafter cyclic pronation–supination testingAxial load-to-failure measurements assessing humeral fixation strengthDocumentation of failure modeMeasurement protocols and surgical workflow documentationFor primary stability assessment, graft position at the humeral entry point was marked and displacement was measured after cyclic loading. Subsequently, a linearly increasing axial force was applied until fixation failure occurred, and maximum load-to-failure was recorded.All specimens were pseudonymized prior to data acquisition and analysis. No identifiable personal data are included.The dataset enables reproducibility of the reported results and allows independent verification of anatomical feasibility and primary biomechanical stability of humeral fixation using the Shark Screw® Tendon.
DOI: 10.6084/m9.figshare.31436899
title: Data for plant phenolic trait regimes govern contrasting peatland carbon responses to drying

description: Northern peatlands store one-third of global soil carbon, yet drainage effects on decomposition remain paradoxical, sometimes accelerating and sometimes stabilizing carbon loss. Here we show that phenolics of differing molecular weight, organised into distinct plant phenolic trait regimes and shifted by woody plant encroachment, control these divergent responses. Laboratory incubations reveal high-molecular-weight phenolics suppress aerobic CO<sub>2</sub> emissions by 50%, while low- and medium-weight compounds stimulate microbial activity and carbon release; all phenolics inhibit decomposition under waterlogged conditions. Along a 36-year drainage gradient in northeast China, drainage-driven succession to woody dominance boosts high-molecular-weight phenolics in the solid peat matrix, stabilizing stocks despite oxygenation. A global meta-analysis of 41 studies confirms woody peatlands gain 35% phenolics under drainage or drought with minimal carbon loss, unlike non-woody systems that emit 47% more CO<sub>2</sub>. By linking molecular mechanisms, long‑term field change and a global synthesis, we show that vegetation‑driven shifts in phenolic molecular weight trait regimes determine whether drainage unlocks or preserves peat carbon stocks, resolving a central paradox in the ‘enzymic latch’ framework. Our findings provide a mechanistic basis for prioritising vulnerable non‑woody peatlands and designing restoration strategies that couple rewetting with vegetation and phenolic trait management.
DOI: 10.6084/m9.figshare.31436899.v1
title: Data for plant phenolic trait regimes govern contrasting peatland carbon responses to drying

description: Northern peatlands store one-third of global soil carbon, yet drainage effects on decomposition remain paradoxical, sometimes accelerating and sometimes stabilizing carbon loss. Here we show that phenolics of differing molecular weight, organised into distinct plant phenolic trait regimes and shifted by woody plant encroachment, control these divergent responses. Laboratory incubations reveal high-molecular-weight phenolics suppress aerobic CO<sub>2</sub> emissions by 50%, while low- and medium-weight compounds stimulate microbial activity and carbon release; all phenolics inhibit decomposition under waterlogged conditions. Along a 36-year drainage gradient in northeast China, drainage-driven succession to woody dominance boosts high-molecular-weight phenolics in the solid peat matrix, stabilizing stocks despite oxygenation. A global meta-analysis of 41 studies confirms woody peatlands gain 35% phenolics under drainage or drought with minimal carbon loss, unlike non-woody systems that emit 47% more CO<sub>2</sub>. By linking molecular mechanisms, long‑term field change and a global synthesis, we show that vegetation‑driven shifts in phenolic molecular weight trait regimes determine whether drainage unlocks or preserves peat carbon stocks, resolving a central paradox in the ‘enzymic latch’ framework. Our findings provide a mechanistic basis for prioritising vulnerable non‑woody peatlands and designing restoration strategies that couple rewetting with vegetation and phenolic trait management.
DOI: 10.15468/dl.dwkfkc
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "DistanceFromCentroidInMeters is greater than or equal to 2000",
 "Geometry POLYGON ((105.610544 14.999999, 179.999961 14.999999, 179.999961 65.08290100000001, 105.610544 65.08290100000001, 105.610544 14.999999))",
 "TaxonKey is Clupisoma naziri"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004282-260226173443078/datasets/export for details.
DOI: 10.5281/zenodo.18814765
title: The Psychological Impact of First-Time Childbirth on Parents
DOI: 10.5281/zenodo.18446126
title: The Psychological Impact of First-Time Childbirth on Parents
DOI: 10.15468/dl.qztp76
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "DistanceFromCentroidInMeters is greater than or equal to 2000",
 "Geometry POLYGON ((105.610544 14.999999, 179.999961 14.999999, 179.999961 65.08290100000001, 105.610544 65.08290100000001, 105.610544 14.999999))",
 "TaxonKey is Proteracanthus sarissophorus"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004283-260226173443078/datasets/export for details.
DOI: 10.5281/zenodo.18814825
title: PROSPECTS OF IMPLEMENTING ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN PRESCHOOL EDUCATION

description: This article provides a comprehensive and in-depth scientific analysis of the prospects for integrating Artificial Intelligence (AI) technologies into preschool education. Based on Uzbekistan’s "Ilk Qadam" (First Step) state curriculum, educational policy documents, local empirical research, international meta-analyses, and longitudinal observations, the article details the impact of AI on children's cognitive, intellectual, emotional, social, and creative development. The results indicate that AI technologies—through interactive programs, adaptive learning applications, child activity monitoring systems, and emotional recognition systems—enhance the effectiveness of the educational process, ensure an approach tailored to children's individual needs, and reduce the workload of educators. However, integration requires prioritizing pedagogical goals, ensuring child safety, and addressing ethical considerations. The article provides evidence-based recommendations for preschool practitioners, administrators, and policymakers.
DOI: 10.5281/zenodo.18814826
title: PROSPECTS OF IMPLEMENTING ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN PRESCHOOL EDUCATION

description: This article provides a comprehensive and in-depth scientific analysis of the prospects for integrating Artificial Intelligence (AI) technologies into preschool education. Based on Uzbekistan’s "Ilk Qadam" (First Step) state curriculum, educational policy documents, local empirical research, international meta-analyses, and longitudinal observations, the article details the impact of AI on children's cognitive, intellectual, emotional, social, and creative development. The results indicate that AI technologies—through interactive programs, adaptive learning applications, child activity monitoring systems, and emotional recognition systems—enhance the effectiveness of the educational process, ensure an approach tailored to children's individual needs, and reduce the workload of educators. However, integration requires prioritizing pedagogical goals, ensuring child safety, and addressing ethical considerations. The article provides evidence-based recommendations for preschool practitioners, administrators, and policymakers.
DOI: 10.15468/dl.6wzuay
title: Occurrence Download

description: A dataset containing 86 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "DistanceFromCentroidInMeters is greater than or equal to 2000",
 "Geometry POLYGON ((105.610544 14.999999, 179.999961 14.999999, 179.999961 65.08290100000001, 105.610544 65.08290100000001, 105.610544 14.999999))",
 "TaxonKey is Rhabdamia spilota"
 ]
}

 The dataset includes 86 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004284-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.20383/101.0280
title: 2016 Fraser Canyon Survey Data Archive

description: Data collected during a 2016 field campaign to understand the morphology and flow dynamics in the Fraser Canyon. Contains all raw velocity and topography data, as well as spatially resolved processed water surface elevations and bed topography.
DOI: 10.15468/dl.p58hhn
title: Occurrence Download

description: A dataset containing 61333 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Erigeron bonariensis, , , , , , , , , , , , , Erigeron bonariensis, , , , , , , , , , , , , , , , , , , , , , , Erigeron bonariensis, , , , Pseudococcus pabulum, , Rhizoecus colombiensis, , Tetraponera mocquerysi, Allocotaphis multisetosa, , Conyza elata, Leptilon bonariensis, , , , , Conyza sordescens, , , , , , , , , , , , , , , , , , , , , , , Pulicaria rufescens, , , , , , , , , , , , , , , , , , , , , , , Erigeron ambiguus, Dimorphanthes crispa, , Conyza bonariensis, , , , , Conyza chenopodioides, , Dimorphanthes hispida, , , , , , , , , , , , , , , , , , , , , , Erigeron linearifolius, Erigeron crispus, , Dimorphanthes angustifolia, , Erigeron gusalakensis, Conyza plebeia, , , Erigeron oreophilus, , Conyza leucodasys, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Erigeron bonariense, , , , , , , , , , , , , , , , , , , , , Conyza sinuata, , , , Erigeron contortus, , Erigeron transsilvanicus, , , , , , , , , , , , , , , , , , , , , , , , , , , Erigeron undulatus, Leptilon bonariense, , , , , , , , , , , , , , , , , , , , , , , , , , , , Erigeron sordidus, , Erigeron coranopifolius, , Erigeron coranopifolius, , , Erigeron looseri, , , , , , , , , , , , , , , , , , , , , , , , , , , Conyza hispida, , Erigeron sordidus, , Marsea bonariensis, , Conyza linearis, Conyza bonariensis, , Conyza myriocephala, , Conyza crispa, , Conyza crispa, , Erigeron canadensis, , , , , , , , , , , , , , , , , , , , , , , , , , , )",
 "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 61333 records from 841 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004262-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17363401
title: Hybrid generalist-specialist AI for scaling spatial pathomics

description: Code and dataset for the review process of the manuscript "Hybrid generalist-specialist AI for scaling spatial pathomics".

Data provided in this repository is solely for journal peer review and must not be used for any other purpose.

Files:



metadata_tumorclass.csv: file with tumor type per case.

raw_dspproteomics.csv: file with raw counts DSP proteomics per ROI segment per case.

code_with_data.zip: zip file with a minimal dataset to test the Python code. It includes two subfolders for ROI prediction in spatial proteomics (DSP) and spatial transcriptomics (ST). In each case, comprehensive README files facilitate navigation.
DOI: 10.5281/zenodo.17363402
title: Hybrid generalist-specialist AI for scaling spatial pathomics

description: Code and dataset for the review process of the manuscript "Hybrid generalist-specialist AI for scaling spatial pathomics".

Data provided in this repository is solely for journal peer review and must not be used for any other purpose.

Files:



metadata_tumorclass.csv: file with tumor type per case.

raw_dspproteomics.csv: file with raw counts DSP proteomics per ROI segment per case.

code_with_data.zip: zip file with a minimal dataset to test the Python code. It includes two subfolders for ROI prediction in spatial proteomics (DSP) and spatial transcriptomics (ST). In each case, comprehensive README files facilitate navigation.
DOI: 10.5517/cc9v4cm
title: CCDC 293240: Experimental Crystal Structure Determination

description: Related Article: Yishan Yao, Wenting, Shen, B.Nohra, C.Lescop, R.Reau|2010|Chem.-Eur.J.|16|7143|doi:10.1002/chem.201000621
description: Related Article: B.Nohra, S.Graule, C.Lescop, R.Reau|2006|J.Am.Chem.Soc.|128|3520|doi:10.1021/ja058617+
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: 10.5517/cc9v4dn
title: CCDC 293241: Experimental Crystal Structure Determination

description: Related Article: Yishan Yao, Wenting, Shen, B.Nohra, C.Lescop, R.Reau|2010|Chem.-Eur.J.|16|7143|doi:10.1002/chem.201000621
description: Related Article: B.Nohra, S.Graule, C.Lescop, R.Reau|2006|J.Am.Chem.Soc.|128|3520|doi:10.1021/ja058617+
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: 10.5517/cc9v4fp
title: CCDC 293242: Experimental Crystal Structure Determination

description: Related Article: Yishan Yao, Wenting, Shen, B.Nohra, C.Lescop, R.Reau|2010|Chem.-Eur.J.|16|7143|doi:10.1002/chem.201000621
description: Related Article: B.Nohra, S.Graule, C.Lescop, R.Reau|2006|J.Am.Chem.Soc.|128|3520|doi:10.1021/ja058617+
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: 10.5517/cc9pz53
title: CCDC 289235: Experimental Crystal Structure Determination

description: Related Article: Zi-Ye Hua, J.T.Mague, M.J.Fink|2006|J.Organomet.Chem.|691|1419|doi:10.1016/j.jorganchem.2005.12.029
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: 10.5517/cc9pz64
title: CCDC 289236: Experimental Crystal Structure Determination

description: Related Article: Zi-Ye Hua, J.T.Mague, M.J.Fink|2006|J.Organomet.Chem.|691|1419|doi:10.1016/j.jorganchem.2005.12.029
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: 10.5517/cc9msl8
title: CCDC 287140: Experimental Crystal Structure Determination

description: Related Article: A.Singhal, R.Mishra, S.K.Kulshreshtha, P.V.Bernhardt, E.R.T.Tiekink|2006|J.Organomet.Chem.|691|1402|doi:10.1016/j.jorganchem.2005.12.037
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.