cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30621364.v1
title: Synthesis, anticancer activity and computational studies of new benzimidazole-triazole-pyridine glycoside conjugates

description: The discovery of novel compounds as potential cancer drug candidates has garnered significant interest and widespread attention. A novel series of benzimidazole-1,2,3-triazole-pyridine-glycosyl hybrids was rationally designed and synthesized to explore their potential anticancer activity. The targeted compounds were achieved via click chemistry. The acetylated N<sup>1</sup>-glycosyl-1,2,3-triazoles were deprotected, producing the free hydroxy glycosides. Their cytotoxicity was evaluated against human colorectal (HCT-116), hepatic (HepG-2), and breast (MCF-7) cancers. Molecular docking and dynamics, in addition to Density functional theory (DFT) calculations, were studied. Glycosyl-1,2,3-triazoles <b>15</b> and <b>17</b> exhibited the highest cytotoxic activity among the tested compounds, while others demonstrated selective efficacy against specific cancer cell lines. Notably, compound <b>17</b> showed a 1.808-fold increase in cytotoxicity compared to doxorubicin when tested on MCF-7 breast cancer cells (IC<sub>50</sub> = 33.32 µM). Molecular docking studies with the epidermal growth factor receptor (EGFR) indicated favorable-binding interactions and potential inhibitory effects. Molecular dynamics further confirmed the stable integration of <b>17</b> within the EGFR active site, preserving the structural integrity of its catalytic domain. DFT calculations provided insights into the electronic structure, molecular orbitals, and electrostatic potential of compound <b>17</b>.
DOI: 10.6084/m9.figshare.30646578
title: α-Glucosidase-targeting 1,2,4-triazole antidiabetic candidates: comparative analysis and future perspectives

description: Diabetes mellitus develops because of the disturbance in carbohydrate metabolism. The therapeutic goal for antidiabetic medications is to manage blood glucose level and to prevent hyperglycemia-associated complications. α-Glucosidase inhibitors represent one of the widely used oral hypoglycemics. This review highlights the potential of 1,2,4-triazole-containing synthetic molecules as antidiabetic agents, particularly focusing on their α-glucosidase inhibitory activity. It argues the significance of targeting α-glucosidase in managing type 2 diabetes and presents recent synthetic approaches for synthesizing 1,2,4-triazole derivatives. The mechanisms of action, SAR analysis, and docking insights are summarized for various reported 1,2,4-triazoles between 2020 and 2025. A comparative analysis was conducted to identify the most effective methodology and the best starting material for the synthesis of this class. Relative potencies and drug likeness characteristics of the reviewed candidates were also evaluated to identify whether one deserves forwarding to pre-clinical and clinical assessments. Many of these derivatives exhibited potent α-glucosidase enzyme inhibition, often outperforming standard marketed drugs like Acarbose. The review paves the way for medicinal chemists to develop new 1,2,4-triazole-incorporating molecular entities to build safe and effective agents for diabetes treatment.
DOI: 10.6084/m9.figshare.30646578.v1
title: α-Glucosidase-targeting 1,2,4-triazole antidiabetic candidates: comparative analysis and future perspectives

description: Diabetes mellitus develops because of the disturbance in carbohydrate metabolism. The therapeutic goal for antidiabetic medications is to manage blood glucose level and to prevent hyperglycemia-associated complications. α-Glucosidase inhibitors represent one of the widely used oral hypoglycemics. This review highlights the potential of 1,2,4-triazole-containing synthetic molecules as antidiabetic agents, particularly focusing on their α-glucosidase inhibitory activity. It argues the significance of targeting α-glucosidase in managing type 2 diabetes and presents recent synthetic approaches for synthesizing 1,2,4-triazole derivatives. The mechanisms of action, SAR analysis, and docking insights are summarized for various reported 1,2,4-triazoles between 2020 and 2025. A comparative analysis was conducted to identify the most effective methodology and the best starting material for the synthesis of this class. Relative potencies and drug likeness characteristics of the reviewed candidates were also evaluated to identify whether one deserves forwarding to pre-clinical and clinical assessments. Many of these derivatives exhibited potent α-glucosidase enzyme inhibition, often outperforming standard marketed drugs like Acarbose. The review paves the way for medicinal chemists to develop new 1,2,4-triazole-incorporating molecular entities to build safe and effective agents for diabetes treatment.
DOI: 10.6084/m9.figshare.30850570
title: Ball Impurity: Measuring Heterogeneity in General Metric Spaces

description: Data in various domains, such as neuroimaging and network data analysis, often come in complex forms without possessing a Hilbert structure. The complexity necessitates innovative approaches for effective analysis. We propose a novel measure of heterogeneity, ball impurity, which is designed to work with complex non-Euclidean objects. Our approach extends the notion of impurity to general metric spaces, providing a versatile tool for feature selection and tree models. The ball impurity measure exhibits desirable properties, such as the triangular inequality, and is computationally tractable, enhancing its practicality and usefulness. Extensive experiments on synthetic data and real data from the UK Biobank validate the efficacy of our approach in capturing data heterogeneity. Remarkably, our results compare favorably with state-of-the-art methods in metric spaces, highlighting the potential of ball impurity as a valuable tool for addressing complex data analysis tasks.
DOI: 10.6084/m9.figshare.30850570.v1
title: Ball Impurity: Measuring Heterogeneity in General Metric Spaces

description: Data in various domains, such as neuroimaging and network data analysis, often come in complex forms without possessing a Hilbert structure. The complexity necessitates innovative approaches for effective analysis. We propose a novel measure of heterogeneity, ball impurity, which is designed to work with complex non-Euclidean objects. Our approach extends the notion of impurity to general metric spaces, providing a versatile tool for feature selection and tree models. The ball impurity measure exhibits desirable properties, such as the triangular inequality, and is computationally tractable, enhancing its practicality and usefulness. Extensive experiments on synthetic data and real data from the UK Biobank validate the efficacy of our approach in capturing data heterogeneity. Remarkably, our results compare favorably with state-of-the-art methods in metric spaces, highlighting the potential of ball impurity as a valuable tool for addressing complex data analysis tasks.
DOI: 10.6084/m9.figshare.30850574
title: PALAR: Estimation of Absolute Abundance Effects in Regression with Relative Abundance Predictors

description: High-dimensional compositional data are ubiquitous in omics research. Microbiome sequencing experiments measure the relative abundances (proportions) of microbial features, while the absolute abundances within the ecosystem remain unobserved. Most regression methods with microbial relative abundance predictors rely on log-ratio transformations and typically impose sparsity on the regression coefficients to manage high dimensionality. However, we show that the sparsity assumption often does not hold for these coefficients. To address this issue, we systematically investigate the relationship between the log‐ratio regression and the absolute abundance regression. Motivated by the connection, we propose PALAR, a simple and efficient approach for estimating sparse absolute abundance effects using penalized regression with predictors derived from a new compositional transformation. We applied PALAR to four microbiome studies on colorectal cancer, demonstrating its advantages over existing methods in consistently identifying disease-relevant microbial species and improving prediction accuracy and generalizability.
DOI: 10.6084/m9.figshare.30850574.v1
title: PALAR: Estimation of Absolute Abundance Effects in Regression with Relative Abundance Predictors

description: High-dimensional compositional data are ubiquitous in omics research. Microbiome sequencing experiments measure the relative abundances (proportions) of microbial features, while the absolute abundances within the ecosystem remain unobserved. Most regression methods with microbial relative abundance predictors rely on log-ratio transformations and typically impose sparsity on the regression coefficients to manage high dimensionality. However, we show that the sparsity assumption often does not hold for these coefficients. To address this issue, we systematically investigate the relationship between the log‐ratio regression and the absolute abundance regression. Motivated by the connection, we propose PALAR, a simple and efficient approach for estimating sparse absolute abundance effects using penalized regression with predictors derived from a new compositional transformation. We applied PALAR to four microbiome studies on colorectal cancer, demonstrating its advantages over existing methods in consistently identifying disease-relevant microbial species and improving prediction accuracy and generalizability.
DOI: 10.5281/zenodo.7511060
title: Data for Dynamic Compression and Pressure Cycling of MgO and Neon in Dynamic Diamond-Anvil Cells

description: This excel contains the peak fitting results of the experiments.
DOI: 10.5281/zenodo.7511059
title: Data for Dynamic Compression and Pressure Cycling of MgO and Neon in Dynamic Diamond-Anvil Cells

description: This excel contains the peak fitting results of the experiments.
DOI: 10.5281/zenodo.17713597
title: Maya Angelou "Caged Bird" Prosodic–Musical-Rhetorical Analysis Dataset (v1.0)

description: This dataset contains a multi-layered prosodic, phonetic, musicological, and rhetorical analysis of Maya Angelou’s performance of her poem “Caged Bird.” The data were generated using the Rhetoric Analysis Toolkit, which integrates forced phonetic alignment (Montreal Forced Aligner), acoustic feature extraction (Praat/Parselmouth), musicological modeling (MIDI and MusicXML), and AI-assisted rhetorical-scheme detection.

It includes word- and phoneme-level acoustic measurements (pitch, intensity, spectral features), time-aligned TextGrid files, full JSON-based representations of prosody and phonetics, AI-generated annotations of rhetorical patterns (alliteration, assonance, anaphora, isocolon variants, rhyme patterns, and ploce), and musicological encodings of melodic contours derived from speech. These components allow researchers to examine how vocal performance—through pitch movement, timing, intensity, articulation, and rhythmic patterning—interacts with rhetorical structure to produce aesthetic, affective, and political meaning.

The dataset is designed for work in digital humanities, rhetorical studies, African American literary studies, linguistics, music-speech analysis, and computational poetics. It supports fine-grained analysis of activation contours, stylistic patterning, and the materiality of voice in African American performance traditions.
DOI: 10.5281/zenodo.17883000
title: Maya Angelou "Caged Bird" Prosodic–Musical-Rhetorical Analysis Dataset (v1.0)

description: This dataset contains a multi-layered prosodic, phonetic, musicological, and rhetorical analysis of Maya Angelou’s performance of her poem “Caged Bird.” The data were generated using the Rhetoric Analysis Toolkit, which integrates forced phonetic alignment (Montreal Forced Aligner), acoustic feature extraction (Praat/Parselmouth), musicological modeling (MIDI and MusicXML), and AI-assisted rhetorical-scheme detection.

It includes word- and phoneme-level acoustic measurements (pitch, intensity, spectral features), time-aligned TextGrid files, full JSON-based representations of prosody and phonetics, AI-generated annotations of rhetorical patterns (alliteration, assonance, anaphora, isocolon variants, rhyme patterns, and ploce), and musicological encodings of melodic contours derived from speech. These components allow researchers to examine how vocal performance—through pitch movement, timing, intensity, articulation, and rhythmic patterning—interacts with rhetorical structure to produce aesthetic, affective, and political meaning.

The dataset is designed for work in digital humanities, rhetorical studies, African American literary studies, linguistics, music-speech analysis, and computational poetics. It supports fine-grained analysis of activation contours, stylistic patterning, and the materiality of voice in African American performance traditions.
DOI: 10.6084/m9.figshare.30850499
title: <b>Intermittent Sequential Herbivory Affects Herbivore Growth Traits but not Plant Fitness in Soybean</b>

description: The phenomenon of sequential herbivory something commonly happening in nature can alter plant phenotype, herbivore performance, and overall crop productivity, but such concept remains understudied in soybean systems. This study is the first kind of study to study the impact of sequential herbivory by two lepidopteran pests, fall armyworm (FAW) and soybean looper (SL), on soybean. The uploaded dataset contains soybean and herbivore trait data collected during sequential herbivory experiments assessing how FAW and SL, affect each other when attacking in different sequences. Plant growth traits (plant height, leaf number), physiological responses (photosynthesis rate, stomatal conductance, transpiration rate), herbivore mass gain and frass traits , and yield parameters are included in this dataset. The idea is to dissect the effects of sequential herbivory of FAW and SL on soybean tolerance.
DOI: 10.6084/m9.figshare.30850499.v1
title: <b>Intermittent Sequential Herbivory Affects Herbivore Growth Traits but not Plant Fitness in Soybean</b>

description: The phenomenon of sequential herbivory something commonly happening in nature can alter plant phenotype, herbivore performance, and overall crop productivity, but such concept remains understudied in soybean systems. This study is the first kind of study to study the impact of sequential herbivory by two lepidopteran pests, fall armyworm (FAW) and soybean looper (SL), on soybean. The uploaded dataset contains soybean and herbivore trait data collected during sequential herbivory experiments assessing how FAW and SL, affect each other when attacking in different sequences. Plant growth traits (plant height, leaf number), physiological responses (photosynthesis rate, stomatal conductance, transpiration rate), herbivore mass gain and frass traits , and yield parameters are included in this dataset. The idea is to dissect the effects of sequential herbivory of FAW and SL on soybean tolerance.
DOI: 10.15468/dl.ek7ykp
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hyboscolex longiseta",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 33 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045219-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rbg9wq
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((115.645 -3.292832, 115.574621 -3.298397, 115.505973 -3.314952, 115.440743 -3.342093, 115.380537 -3.37915, 115.326835 -3.425213, 115.280959 -3.479149, 115.244039 -3.53963, 115.216985 -3.605169, 115.200465 -3.674153, 115.194888 -3.744884, 115.200393 -3.81562, 115.216849 -3.88462, 115.243852 -3.950184, 115.280739 -4.010698, 115.326604 -4.064668, 115.380317 -4.110766, 115.440556 -4.147856, 115.505837 -4.175021, 115.57455 -4.191593, 115.645 -4.197163, 115.71545 -4.191593, 115.784163 -4.175021, 115.849444 -4.147856, 115.909683 -4.110766, 115.963396 -4.064668, 116.009261 -4.010698, 116.046148 -3.950184, 116.073151 -3.88462, 116.089607 -3.81562, 116.095112 -3.744884, 116.089535 -3.674153, 116.073015 -3.605169, 116.045961 -3.53963, 116.009041 -3.479149, 115.963165 -3.425213, 115.909463 -3.37915, 115.849257 -3.342093, 115.784027 -3.314952, 115.715379 -3.298397, 115.645 -3.292832))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045220-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kpeeut
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((115.455 -3.285832, 115.384622 -3.291397, 115.315974 -3.307952, 115.250745 -3.335093, 115.190539 -3.37215, 115.136837 -3.418213, 115.090961 -3.472149, 115.054042 -3.53263, 115.026988 -3.59817, 115.010468 -3.667153, 115.004891 -3.737884, 115.010397 -3.808621, 115.026853 -3.877621, 115.053855 -3.943185, 115.090742 -4.003698, 115.136606 -4.057668, 115.190319 -4.103767, 115.250558 -4.140856, 115.315838 -4.168021, 115.38455 -4.184593, 115.455 -4.190163, 115.52545 -4.184593, 115.594162 -4.168021, 115.659442 -4.140856, 115.719681 -4.103767, 115.773394 -4.057668, 115.819258 -4.003698, 115.856145 -3.943185, 115.883147 -3.877621, 115.899603 -3.808621, 115.905109 -3.737884, 115.899532 -3.667153, 115.883012 -3.59817, 115.855958 -3.53263, 115.819039 -3.472149, 115.773163 -3.418213, 115.719461 -3.37215, 115.659255 -3.335093, 115.594026 -3.307952, 115.525378 -3.291397, 115.455 -3.285832))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045222-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.whknx3
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scyphoproctus djiboutiensis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 29 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045221-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gam9hb
title: Occurrence Download

description: A dataset containing 16828 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ixodes scapularis",
 "Year 1990-2025"
 ]
}

 The dataset includes 16828 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045223-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14473/csda/jhpivf
title: Antipopulistická komunikace v České republice

description: Cílem výzkumu byl obsah komunikace politických stran před volbami v roce 2021 v ČR.
DOI: 10.5281/zenodo.17883042
title: Thermal stability testing of mechanical recycled PVC samples

description: Thermal stability testing of different samples of mechanical recycled PVC stemming from vinyl flooring. Of samples 1, 2 and 3, two different sizes were analysed (< 300 µm and > 300 µm)
DOI: 10.7910/dvn/ntamvv
title: Replication Data for: The Diffusion of State Firearm Regulations

description: This dataset includes the replication for the article titled "The Diffusion of State Firearm Regulations".
DOI: 10.34816/ifao.archives.113972
title: MONASTÈRES COPTES_nb_1975_00413

description: Référence : nb_1975_00413<br />Site : Ouadi Araba<br />Secteur : Deir Mar Antonius; Église Saint Antoine (Deir Mar Antonius)<br />Type : photographie<br />
DOI: 10.15468/dl.yu4kdx
title: Occurrence Download

description: A dataset containing 4686 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "OccurrenceStatus is Present",
 "TaxonKey is Erigeron canadensis L."
 ]
}

 The dataset includes 4686 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0286628-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34816/ifao.archives.113971
title: MONASTÈRES COPTES_nb_1975_00412

description: Référence : nb_1975_00412<br />Site : Ouadi Araba<br />Secteur : Deir Mar Antonius; Église Saint Antoine (Deir Mar Antonius)<br />Type : photographie<br />
DOI: 10.15468/dl.d6d8yw
title: Occurrence Download

description: A dataset containing 2363 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "Continent is Europe",
 "Year is greater than 1978",
 "Year is less than 2014",
 "HasGeospatialIssue is false",
 "TaxonKey is Arenaria biflora L."
 ]
}

 The dataset includes 2363 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0108598-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34816/ifao.archives.113970
title: MONASTÈRES COPTES_nb_1975_00411b

description: Référence : nb_1975_00411b<br />Site : Ouadi Araba<br />Secteur : Deir Mar Antonius; Église Saint Antoine (Deir Mar Antonius)<br />Type : photographie<br />
DOI: 10.34816/ifao.archives.113969
title: MONASTÈRES COPTES_nb_1975_00411

description: Référence : nb_1975_00411<br />Site : Ouadi Araba<br />Secteur : Deir Mar Antonius; Église Saint Antoine (Deir Mar Antonius)<br />Type : photographie<br />
DOI: 10.15468/dl.prhvmd
title: Occurrence Download

description: A dataset containing 744 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Suivi des oiseaux de passage : programme ACT - Programme ACT : Répartition Alouette des champs 2002 - 2006 Coordonnées GPS Lambert 93"
 ]
}

 The dataset includes 744 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025693-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.