cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14272/xkynuwxcddwjfk-uhfffaoysa-n/chmo0000601
title: heteronuclear multiple bond coherence (HMBC) (2-bromo-1-(4-fluoro-3-hydroxyphenyl)ethanone)
title: InChI=1S/C8H6BrFO2/c9-4-8(12)5-1-2-6(10)7(11)3-5/h1-3,11H,4H2

description: dataset for heteronuclear multiple bond coherence (HMBC)
DOI: 10.14272/xkynuwxcddwjfk-uhfffaoysa-n.1
title: 2-bromo-1-(4-fluoro-3-hydroxy-phenyl)ethanone
title: InChI=1S/C8H6BrFO2/c9-4-8(12)5-1-2-6(10)7(11)3-5/h1-3,11H,4H2

description: This is a physical chemical entity[CHEBI_24431] associated with a molecule[CHEBI_25367].
 The molecule[CHEBI_25367] can be described by the following structural desciptors[cheminf_000085]:
 InChI descriptor[cheminf_000113]: InChI=1S/C8H6BrFO2/c9-4-8(12)5-1-2-6(10)7(11)3-5/h1-3,11H,4H2, and canonical SMILES descriptor[cheminf_000007]: BrCC(=O)c1ccc(c(c1)O)F, and by the IUPAC name[cheminf_000107]: 2-bromo-1-(4-fluoro-3-hydroxyphenyl)ethanone.
 
 The physical chemical entity[CHEBI_24431] has a component solvent[CHEBI_46787] which is described by the canonical SMILES descriptor[cheminf_000007]:
 
 The physical chemical entity[CHEBI_24431] has the following Sample ID as registered in the research data repository chemotion (www.chemotion-repository.net, https://doi.org/10.25504/FAIRsharing.iagXcR): CRS-59875

 The physical chemical entity[CHEBI_24431] can be described by the physical descriptors [CHEMINF_000025]:
 Melting point descriptor[CHEMINF_000256]: 110.2 - 114.5 (°C)
 Boiling point descriptor[CHEMINF_000257]: 
 Refractive index descriptor[CHEMINF_000253]:

 The physical chemical entity[CHEBI_24431] can be further described by the following assays[OBI:0000070][CHMO:0001133]:
 
 CHMO:0000599 | correlation spectroscopy (COSY)
 
 CHMO:0000596 | distortionless enhancement with polarization transfer (DEPT)
 
 CHMO:0000604 | heteronuclear single quantum coherence (HSQC)
 
 CHMO:0000601 | heteronuclear multiple bond coherence (HMBC)
 
 CHMO:0000593 | 1H nuclear magnetic resonance spectroscopy (1H NMR)
 
 CHMO:0000596 | distortionless enhancement with polarization transfer (DEPT)
 
 CHMO:0000597 | 19F nuclear magnetic resonance spectroscopy (19F NMR)
 
 CHMO:0000595 | 13C nuclear magnetic resonance spectroscopy (13C NMR)
 
 CHMO:0000630 | infrared absorption spectroscopy (IR)
 
 CHMO:0002337 | electrospray ionisation quadrupole detection (ESI Q Trap)
 
 The physical chemical entity[CHEBI_24431] was deposited to the Molecule Archive of the Karlsruhe Insitute of Technology (KIT) with the following Sample ID: 

 Used ontologies:
 CHEBI - Chemical Entities of Biological Interest
 CHEMINF - chemical information ontology (information entities about chemical entities)
 CHMO - Chemical Methods Ontology
 OBI - Ontology for Biomedical Investigations
DOI: 10.14272/xkynuwxcddwjfk-uhfffaoysa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) (2-bromo-1-(4-fluoro-3-hydroxyphenyl)ethanone)
title: InChI=1S/C8H6BrFO2/c9-4-8(12)5-1-2-6(10)7(11)3-5/h1-3,11H,4H2

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR)
DOI: 10.14272/xkynuwxcddwjfk-uhfffaoysa-n/chmo0000596
title: distortionless enhancement with polarization transfer (DEPT) (2-bromo-1-(4-fluoro-3-hydroxyphenyl)ethanone)
title: InChI=1S/C8H6BrFO2/c9-4-8(12)5-1-2-6(10)7(11)3-5/h1-3,11H,4H2

description: dataset for distortionless enhancement with polarization transfer (DEPT)
DOI: 10.14272/xkynuwxcddwjfk-uhfffaoysa-n/chmo0000630
title: infrared absorption spectroscopy (IR) (2-bromo-1-(4-fluoro-3-hydroxyphenyl)ethanone)
title: InChI=1S/C8H6BrFO2/c9-4-8(12)5-1-2-6(10)7(11)3-5/h1-3,11H,4H2

description: dataset for infrared absorption spectroscopy (IR)
DOI: 10.5281/zenodo.16793153
title: Heart Rate Variability in Adolescents Following Surgical Correction of Aortic Coarctation: Dataset

description: This dataset contains anonymized raw heart rate variability (HRV) data from adolescents aged 12–17 years during the long-term period after surgical correction of aortic coarctation (CoA) and from age- and sex-matched healthy peers.

The dataset includes results of a 5-minute resting ECG analysis with HRV calculated in time-domain, frequency-domain, and nonlinear measures.

Dataset structure (Excel file):





Sheet 1: CoA group — demographic and anthropometric parameters, HRV indices (time domain, spectral, nonlinear measures)




Sheet 2: Healthy control group — same parameters as above

Description of HRV variables:





Time-domain indices:





SDNN, ms Standard deviation of normal RR-intervals




RMSSD, ms Square root of the mean square of the mean square of the differences of consecutive RR-intervals




pNN50, % Percentage of consecutive RR-intervals differing by more than 50 ms






Frequency-domain indices:





VLF, % Very low-frequency component of the heart rate spectrum




LF, % Low-frequency component of the heart rate spectrum




HF, % High-frequency component of the heart rate spectrum




LF/HF low- to high-frequency components ratio




Total power, ms2 Total power of the heart rate spectrum






Nonlinear indices:





SD1, ms Poincaré plot width, dispersion of point projections on a straight line perpendicular to the line of identity




SD2, ms Poincaré plot length, dispersion of point projections on the line of identitySD2/SD1 SD2 to SD1 ratio




ApEn Approximate entropy, an index of heart rate complexity and irregularity




SampEn Sample entropy, index of heart rate complexity and irregularity




Alpha DFA fractal dimension index of cardiac intervals time series





Important note:Some cells contain empty values. These represent outliers identified and removed during statistical analysis to ensure data quality.
DOI: 10.5281/zenodo.18324999
title: Heart Rate Variability in Adolescents Following Surgical Correction of Aortic Coarctation: Dataset

description: This dataset contains anonymized raw heart rate variability (HRV) data from adolescents aged 12–17 years during the long-term period after surgical correction of aortic coarctation (CoA) and from age- and sex-matched healthy peers.

The dataset includes results of a 5-minute resting ECG analysis with HRV calculated in time-domain, frequency-domain, and nonlinear measures.

Dataset structure (Excel file):





Sheet 1: CoA group — demographic and anthropometric parameters, HRV indices (time domain, spectral, nonlinear measures)




Sheet 2: Healthy control group — same parameters as above

Description of HRV variables:





Time-domain indices:





SDNN, ms Standard deviation of normal RR-intervals




RMSSD, ms Square root of the mean square of the mean square of the differences of consecutive RR-intervals




pNN50, % Percentage of consecutive RR-intervals differing by more than 50 ms






Frequency-domain indices:





VLF, % Very low-frequency component of the heart rate spectrum




LF, % Low-frequency component of the heart rate spectrum




HF, % High-frequency component of the heart rate spectrum




LF/HF low- to high-frequency components ratio




Total power, ms2 Total power of the heart rate spectrum






Nonlinear indices:





SD1, ms Poincaré plot width, dispersion of point projections on a straight line perpendicular to the line of identity




SD2, ms Poincaré plot length, dispersion of point projections on the line of identitySD2/SD1 SD2 to SD1 ratio




ApEn Approximate entropy, an index of heart rate complexity and irregularity




SampEn Sample entropy, index of heart rate complexity and irregularity




Alpha DFA fractal dimension index of cardiac intervals time series





Important note:Some cells contain empty values. These represent outliers identified and removed during statistical analysis to ensure data quality.
DOI: 10.5281/zenodo.15798923
title: Chronic Fatigue in Adolescents with Congenital Heart Disease and Healthy Peers: Raw Data Supporting the Biopsychosocial Comparative Analysis

description: This dataset contains the raw, anonymized data used in the study:“Chronic Fatigue in Adolescents with Congenital Heart Disease and Apparently Healthy Peers: A Biopsychosocial Perspective”The study investigates the severity and psychosocial correlates of chronic fatigue (CF) among adolescents aged 11–17 years with congenital heart defects (CHD) compared to healthy peers. Fatigue was assessed using the validated “Degree of Chronic Fatigue” questionnaire (Leonova & Shishkina, 2003), which evaluates global fatigue (Chronic Fatigue Index, CFI) and domain-specific aspects: physiological, cognitive, emotional, and social fatigue.

Content of the dataset (Excel file):





Sheet 1 (Healthy_controls_data):Data from 75 healthy schoolchildren (control group), including:





Gender and age




Scores on CFI and subscales






Sheet 2 (CHD_patients_data):Data from 154 adolescents with CHD, including:





Gender and age




CHD classification (based on AHA/ACC 2018 guidelines)




Scores on CFI and four subscales





File format: .xlsxLanguage: EnglishPersonal data: Fully anonymized; no personally identifiable information is included.

Methodology:Data were collected under voluntary informed consent and with ethics committee approval (#18/1, 15.02.2023). Questionnaires were completed independently by adolescents in comfortable settings. Group comparisons were conducted using non-parametric tests (Mann-Whitney U), and correlational analyses were performed with Spearman’s rho.
DOI: 10.5281/zenodo.18325028
title: Chronic Fatigue in Adolescents with Congenital Heart Disease and Healthy Peers: Raw Data Supporting the Biopsychosocial Comparative Analysis

description: This dataset contains the raw, anonymized data used in the study:“Chronic Fatigue in Adolescents with Congenital Heart Disease and Apparently Healthy Peers: A Biopsychosocial Perspective”The study investigates the severity and psychosocial correlates of chronic fatigue (CF) among adolescents aged 11–17 years with congenital heart defects (CHD) compared to healthy peers. Fatigue was assessed using the validated “Degree of Chronic Fatigue” questionnaire (Leonova & Shishkina, 2003), which evaluates global fatigue (Chronic Fatigue Index, CFI) and domain-specific aspects: physiological, cognitive, emotional, and social fatigue.

Content of the dataset (Excel file):





Sheet 1 (Healthy_controls_data):Data from 75 healthy schoolchildren (control group), including:





Gender and age




Scores on CFI and subscales






Sheet 2 (CHD_patients_data):Data from 154 adolescents with CHD, including:





Gender and age




CHD classification (based on AHA/ACC 2018 guidelines)




Scores on CFI and four subscales





File format: .xlsxLanguage: EnglishPersonal data: Fully anonymized; no personally identifiable information is included.

Methodology:Data were collected under voluntary informed consent and with ethics committee approval (#18/1, 15.02.2023). Questionnaires were completed independently by adolescents in comfortable settings. Group comparisons were conducted using non-parametric tests (Mann-Whitney U), and correlational analyses were performed with Spearman’s rho.
DOI: 10.5281/zenodo.17628292
title: Phase Diagram and Ashkin–Teller Universality in the Classical Square-Lattice Heisenberg–Compass Model
DOI: 10.5281/zenodo.17628391
title: Phase Diagram and Ashkin–Teller Universality in the Classical Square-Lattice Heisenberg–Compass Model
DOI: 10.6084/m9.figshare.31111225
title: <b>Supplementary Data</b> - Master's Thesis Vincent Rankl

description: The Gobioidei are a highly diverse suborder of the teleost fishes, with worldwide ecological success in marine, freshwater and brackish environments. The majority of their diversity is concentrated within the sister families Gobiidae and Oxudercidae (“gobies” hereafter), which despite their diversity exhibit an unexpectedly narrow range of phenotypic variation. This may be explained by repeated convergent evolution driven by similar ecological pressures, leading to similar phenotypes. Convergent evolution has been demonstrated in gobioid fishes, but most work has focused on external body and head morphology rather than osteology. This thesis tests whether ecological adaptations are also reflected in the vertebral column of European gobies. To this end, vertebrae of selected species from the <i>Gobius</i>, <i>Aphia</i> and <i>Pomatoschistus</i> lineages were imaged using micro-CT techniques and analyzed through comparative anatomy, cluster analysis and geometric morphometrics. Our results indicate that freshwater species tend to exhibit a notch in the apex of the neural arch of the atlas and shorter centra than marine species, which we attributed to possible adaptations to flow-variable environments or paedomorphosis resulting from the generally highly variable conditions of freshwater habitats. Moreover, we found that the nektonic and hyperbenthic species in our sample exhibited longer centra than the epibenthic species, which we interpreted as an adaptation to increase swimming performance. Finally, we detected possible phylogenetic signals. Specifically, most Gobiidae exhibit two ventral ridges on the centra in the vertebrae of the abdominal-caudal transition while Oxudercidae show only one. Neural arch width may further allow differentiation between the European lineages of the Gobiidae and Oxudercidae. These results indicate that vertebral morphology is shaped by both ecological adaptations and evolutionary history. Ultimately, our findings highlight the investigation of postcranial osteology in gobies as a promising field of research.
DOI: 10.6084/m9.figshare.31111225.v1
title: <b>Supplementary Data</b> - Master's Thesis Vincent Rankl

description: The Gobioidei are a highly diverse suborder of the teleost fishes, with worldwide ecological success in marine, freshwater and brackish environments. The majority of their diversity is concentrated within the sister families Gobiidae and Oxudercidae (“gobies” hereafter), which despite their diversity exhibit an unexpectedly narrow range of phenotypic variation. This may be explained by repeated convergent evolution driven by similar ecological pressures, leading to similar phenotypes. Convergent evolution has been demonstrated in gobioid fishes, but most work has focused on external body and head morphology rather than osteology. This thesis tests whether ecological adaptations are also reflected in the vertebral column of European gobies. To this end, vertebrae of selected species from the <i>Gobius</i>, <i>Aphia</i> and <i>Pomatoschistus</i> lineages were imaged using micro-CT techniques and analyzed through comparative anatomy, cluster analysis and geometric morphometrics. Our results indicate that freshwater species tend to exhibit a notch in the apex of the neural arch of the atlas and shorter centra than marine species, which we attributed to possible adaptations to flow-variable environments or paedomorphosis resulting from the generally highly variable conditions of freshwater habitats. Moreover, we found that the nektonic and hyperbenthic species in our sample exhibited longer centra than the epibenthic species, which we interpreted as an adaptation to increase swimming performance. Finally, we detected possible phylogenetic signals. Specifically, most Gobiidae exhibit two ventral ridges on the centra in the vertebrae of the abdominal-caudal transition while Oxudercidae show only one. Neural arch width may further allow differentiation between the European lineages of the Gobiidae and Oxudercidae. These results indicate that vertebral morphology is shaped by both ecological adaptations and evolutionary history. Ultimately, our findings highlight the investigation of postcranial osteology in gobies as a promising field of research.
DOI: 10.18710/jim3ks/xrac4r
title: Exercise_Facing-Unexpected-Challenges.mp3
DOI: 10.18710/jim3ks/dvcqyn
title: Exercise_Taking-Next-Steps.mp3
DOI: 10.18710/jim3ks/rj0y8f
title: Exercise_Gaining-Fresh-Perspectives.mp3
DOI: 10.18710/jim3ks/ypojkr
title: Exercise_Developing-New-Ideas.mp3
DOI: 10.18710/jim3ks/r3nxke
title: 00_Readme.txt
DOI: 10.18710/jim3ks/smfm8p
title: Exercise_Finding-Vital-Resources.mp3
DOI: 10.5281/zenodo.5607551
title: An Empirical Study to Evaluate the Impact of Mindfulness at a Software Company (Laboratory Package)

description: For the empirical study carried out in an Andalusian software company to evaluate the effects of the practise of mindfulness, this laboratory package contains the experimental material used during its execution, the data sets (both "csv" and "sav" files) derived from the experimental tasks, and the results of the statistical analysis (both scripts and plots).
DOI: 10.5281/zenodo.7704875
title: An Empirical Study to Evaluate the Impact of Mindfulness at a Software Company (Laboratory Package)

description: For the empirical study carried out in an Andalusian software company to evaluate the effects of the practise of mindfulness, this laboratory package contains the experimental material used during its execution, the data sets (both "csv" and "sav" files) derived from the experimental tasks, and the results of the statistical analysis (both scripts and plots).
DOI: 10.6084/m9.figshare.31108639.v1
title: Soil respiration dataset

description: Soil respiration (Rs) is a highly sensitive and consequential process in terrestrial ecosystem carbon (C) cycling under global change scenarios, particularly warming and altered precipitation patterns. However, how warming and delayed rainfall interact to influence Rs and its components remains poorly understood. Here, we combined a field factorial manipulation experiment with δ13C natural abundance partitioning and a complementary meta-analysis to quantify responses of Rs and its components in grassland ecosystems.
DOI: 10.15468/dl.vgzjua
title: Occurrence Download

description: A dataset containing 222 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Norwegian breeding bird monitoring scheme",
 "Geometry POLYGON((7.760957879396006 59.563343228890425,7.768999992613505 59.563343228890425,7.768999992613505 59.571385342107924,7.760957879396006 59.571385342107924,7.760957879396006 59.563343228890425))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 222 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002223-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fg4p84
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Hong Kong",
 "TaxonKey is Parancistrocerus"
 ]
}

 The dataset includes 28 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002220-260120142942310/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.28730251
title: Leveraging machine learning and bioinformatics to identify diagnostic biomarkers connected to hypoxia-related genes in preeclampsia

description: PE is a serious form of pregnancy-related hypertension. Hypoxia can induce cellular dysfunction, adversely affecting both the infant and the mother. This study aims to investigate the relationship between HRGs and the diagnosis of PE, seeking to enhance our understanding of potential molecular mechanisms and offer new perspectives for the detection and treatment of the condition. A WGCNA network was established to identify key genes significantly associated with traits of PE. LASSO, SVM-RFE, and RF were utilized to identify feature genes. Calibration curves and DCA were employed to assess the diagnostic performance of the comprehensive nomogram. Consensus clustering was applied to identify subtypes of PE. GSEA and the construction of a ceRNA network were used to explore the potential biological functions and regulatory mechanisms of the identified feature genes. Furthermore, ssGSEA was conducted to investigate the immune landscape associated with PE. We successfully identified three potential diagnostic biomarkers for PE: P4HA1, NDRG1, and BHLHE40. Furthermore, the nomogram exhibited strong diagnostic performance. In patients with PE, the abundance of pro-inflammatory immune cells was significantly elevated, reflecting characteristics of high infiltration. The levels of immune cells infiltration were significantly correlated with the expression of the identified feature genes. Notably, these feature genes may be closely linked to mitochondrial-related biological functions. In conclusion, our findings enhance the understanding of the pathological mechanisms underlying PE and open innovative avenues for the diagnosis and treatment of PE.
DOI: 10.6084/m9.figshare.28730251.v1
title: Leveraging machine learning and bioinformatics to identify diagnostic biomarkers connected to hypoxia-related genes in preeclampsia

description: PE is a serious form of pregnancy-related hypertension. Hypoxia can induce cellular dysfunction, adversely affecting both the infant and the mother. This study aims to investigate the relationship between HRGs and the diagnosis of PE, seeking to enhance our understanding of potential molecular mechanisms and offer new perspectives for the detection and treatment of the condition. A WGCNA network was established to identify key genes significantly associated with traits of PE. LASSO, SVM-RFE, and RF were utilized to identify feature genes. Calibration curves and DCA were employed to assess the diagnostic performance of the comprehensive nomogram. Consensus clustering was applied to identify subtypes of PE. GSEA and the construction of a ceRNA network were used to explore the potential biological functions and regulatory mechanisms of the identified feature genes. Furthermore, ssGSEA was conducted to investigate the immune landscape associated with PE. We successfully identified three potential diagnostic biomarkers for PE: P4HA1, NDRG1, and BHLHE40. Furthermore, the nomogram exhibited strong diagnostic performance. In patients with PE, the abundance of pro-inflammatory immune cells was significantly elevated, reflecting characteristics of high infiltration. The levels of immune cells infiltration were significantly correlated with the expression of the identified feature genes. Notably, these feature genes may be closely linked to mitochondrial-related biological functions. In conclusion, our findings enhance the understanding of the pathological mechanisms underlying PE and open innovative avenues for the diagnosis and treatment of PE.
DOI: 10.6084/m9.figshare.31111244
title: Delineation of hub genes related to ferroptosis and radiosensitivity in breast cancer with three identified subtypes

description: This study aimed to explore the roles of radiotherapy-sensitive and ferroptosis genes in breast cancer (BRCA). Genes differentially expressed pre- and post-radiotherapy from the GSE59733 dataset were intersected with ferroptosis-related genes. Through a protein-protein interaction network, 10 hub genes were identified. BRCA patients were categorized into three clusters, with cluster 1 and cluster 2 showing the most significant survival difference. Cluster 1 demonstrated higher immune infiltration levels but poorer response to immune therapy compared to cluster 2. Moreover, cluster 1 and cluster 2 exhibited sensitivity to different drugs. These 10 hub genes can effectively classify patients and suggest potential drugs.