cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/cvbywssnk5.1
title: Genomic and phenotypic data of the manuscript "Divergence-with-gene-flow leads to decoupled phenotypic evolution in a passerine (Cranioleuca pyrrhophia, Furnariidae) along a dry forest gradient"

description: Aim: Most speciation in birds and mammals is assumed to require an allopatric phase. Yet, many studies challenge this idea and provide evidence that natural selection is the primary driver of diversification, regardless of the geographic setup (i.e., divergence-with-gene-flow). In South America, the Chaco-Andes dry forests belt spans a broad environmental gradient and provides opportunity for parapatric diversification. Our objective was to assess divergence-with-gene-flow in population evolution within a typical dry forest bird. 
We studied genomic and phenotypic divergence between subspecies of Cranioleuca pyrrhophia (Aves, Furnariidae), which are distributed along the Chaco-Andes dry forest belt (Central Andes Mountains and Chaco and Pampas regions of Bolivia, Uruguay, and Argentina), and that are mostly differentiated by plumage color. 
Methods: We 1) sequenced ddRAD loci of 24 samples and collected plumage and body size data of 180 specimens; 2) tested the association between genomic and phenotypic traits and elevation, geographic isolation, and climatic variation; and 3) to distinguish divergence in allopatry from divergence-with-gene-flow, compared phenotypic divergence with neutral genomic variation (S-test, PST–FST comparisons), estimated gene flow, and calculated relative (FST) and absolute (DXY) genomic divergence. 
Results: In average, strongly differentiated loci also had the highest DXY values. Geographic isolation and elevation predicted phenotypic and genomic variation, with a minor unique impact of climate. Yet, these metrics better predicted plumage than body size traits. Certain phenotypic traits exceeded neutral variation (e.g., tail color), with variable divergence patterns among phenotypic traits—plumage traits being the most variable between subspecies. 
Main conclusions: Phenotypic variation in C. pyrrhophia likely reflects local adaptation, shaped more by environmental factors than solely by drift. Phenotypic traits varied differently, with plumage diverging more rapidly or under stronger selection. Habitat gradients like the Chaco-Andes dry forests drive parapatric diversification, where divergence combined with local extinction of geographically intermediate populations, may lead to isolation and discontinuous variation typical of full species.

Check dataset usage in file Readme.txt
DOI: 10.5281/zenodo.16744966
title: Numerical Results
title: results(k=0.0, 0.01)
title: results(k=5.0, 0.01)
title: results(k=10.0, 0.01)

description: Numerial Results for the following Paper to be published in IISE Transactions:

An Approximate Periodic Review Stochastic Inventory Control System with Both Fixed Cost and Random Yield
DOI: 10.5281/zenodo.16744967
title: Numerical Results
title: results(k=0.0, 0.01)
title: results(k=5.0, 0.01)
title: results(k=10.0, 0.01)

description: Numerial Results for the following Paper to be published in IISE Transactions:

An Approximate Periodic Review Stochastic Inventory Control System with Both Fixed Cost and Random Yield
DOI: 10.17632/8ywknnmf8p
title: SOC Mineralization
DOI: 10.17632/8ywknnmf8p.1
title: SOC Mineralization
DOI: 10.17632/ssv69h54g4
title: Mapping the Landscape of AI and Machine Learning in Drug Formulation Design: A Bibliometric Analysis

description: This bibliometric analysis explores AI and Machine Learning (ML) in drug formulation, particularly oral drug delivery. AI/ML addresses significant challenges in oral drug development, like solubility and bioavailability, enhancing efficiency in drug discovery. The study aimed to comprehensively overview the field by analyzing publication trends, identifying leading countries, institutions, and authors, and exploring co-citation networks to guide future research. Data was systematically collected from the Scopus database, focusing on English-language journal articles from 2023 to July 2025 concerning AI/ML in drug formulation. VOSviewer and other tools were used for data refinement and analysis, including publication trends, geographic contributions, and keyword co-occurrence. Results show robust publication growth, especially in 2024, indicating accelerating interest. The United States leads in research output, followed by China, India, and the UK, highlighting global collaboration. Influential publications underscore AI's practical applications in optimizing drug formulations. In conclusion, AI and ML are significantly advancing drug formulation, marked by increasing global engagement. Future research will likely focus on refining predictive models, optimizing manufacturing, and developing innovative AI-driven strategies for improved drug characteristics. The field continues to evolve through the synergy of technology and pharmaceutical sciences.
DOI: 10.17632/ssv69h54g4.1
title: Mapping the Landscape of AI and Machine Learning in Drug Formulation Design: A Bibliometric Analysis

description: This bibliometric analysis explores AI and Machine Learning (ML) in drug formulation, particularly oral drug delivery. AI/ML addresses significant challenges in oral drug development, like solubility and bioavailability, enhancing efficiency in drug discovery. The study aimed to comprehensively overview the field by analyzing publication trends, identifying leading countries, institutions, and authors, and exploring co-citation networks to guide future research. Data was systematically collected from the Scopus database, focusing on English-language journal articles from 2023 to July 2025 concerning AI/ML in drug formulation. VOSviewer and other tools were used for data refinement and analysis, including publication trends, geographic contributions, and keyword co-occurrence. Results show robust publication growth, especially in 2024, indicating accelerating interest. The United States leads in research output, followed by China, India, and the UK, highlighting global collaboration. Influential publications underscore AI's practical applications in optimizing drug formulations. In conclusion, AI and ML are significantly advancing drug formulation, marked by increasing global engagement. Future research will likely focus on refining predictive models, optimizing manufacturing, and developing innovative AI-driven strategies for improved drug characteristics. The field continues to evolve through the synergy of technology and pharmaceutical sciences.
DOI: 10.17632/2t4rdpr285
title: Supplementary information: Study database

description: This database contains the supplementary material for the study.
DOI: 10.17632/2t4rdpr285.2
title: Supplementary information: Study database

description: This database contains the supplementary material for the study.
DOI: 10.15468/dl.bcdd3n
title: Occurrence Download

description: A dataset containing 6850 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dama dama",
 "Country is Belgium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6850 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015139-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.esgp34
title: Occurrence Download

description: A dataset containing 83 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dama dama",
 "Country is Bulgaria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 83 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015140-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15064701
title: New mechanism for delayed ENSO impact on the East Asian Summer Monsoon

description: Data and code to reproduce the figures in "New mechanism for delayed ENSO impact on the East Asian Summer Monsoon".  Please cite the published article if you use this dataset.
DOI: 10.5281/zenodo.16745497
title: New mechanism for delayed ENSO impact on the East Asian Summer Monsoon

description: Data and code to reproduce the figures in "New mechanism for delayed ENSO impact on the East Asian Summer Monsoon".  Please cite the published article if you use this dataset.
DOI: 10.17632/y55sncg5s4
title: Defining Brain Lipofuscin in Aging and Disease: Molecular Identity, Organellar Origins, and Anatomical Distribution. Tieze et al.

description: Raw western blot images underlying cropped blots in figures and corresponding quantifications.
DOI: 10.15468/dl.usvcdq
title: Occurrence Download

description: A dataset containing 70115 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Amazona aestiva"
 ]
}

 The dataset includes 70115 records from 127 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015098-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/y55sncg5s4.1
title: Defining Brain Lipofuscin in Aging and Disease: Molecular Identity, Organellar Origins, and Anatomical Distribution. Tieze et al.

description: Raw western blot images underlying cropped blots in figures and corresponding quantifications.
DOI: 10.17632/x25pvrxjmm
title: Perception of the built environment, habitual behaviors, cardiometabolic risk factors and cardiorespiratory fitness in adolescents: a study using latent class analysis.

description: The built environment of a neighborhood may be associated with the practice of physical activity, reduced sedentary behavior (SB), and several health benefits. It was aimed to evaluate the association between perception of the built environment (BE) and measures of habitual behavior, cardiometabolic risk factors, and cardiorespiratory fitness in adolescents. Study was conducted with 309 students aged 14 to 16 years. BE characteristics were evaluated by Neighborhood Walkability Scale for Youth. Habitual behaviors were assessed by accelerometry. Cell phone use and sedentary time (TST) were assessed using questionnaires. Cardiometabolic risk factors were measured by anthropometry and blood collection, and cardiorespiratory fitness was assessed. Latent class analysis was used to identify BE classes. Association tests were performed between the generated classes and the other outcomes. The latent classes identified were: Class 1, “Best BE”; Class 2, “Moderate BE”; Class 3, “Worst BE”. Adolescents with ‘high SB’ and ‘high TST’ were respectively 1.33 and 1.40 more likely to belong to the class 3 than the class 1. Adolescents with “high triglycerides” had 3.99 times more chance to belong to the class 3 than the class 1. The results highlight the influence of neighborhood BE classes on SB, TST, and triglycerides in adolescents
DOI: 10.17632/x25pvrxjmm.1
title: Perception of the built environment, habitual behaviors, cardiometabolic risk factors and cardiorespiratory fitness in adolescents: a study using latent class analysis.

description: The built environment of a neighborhood may be associated with the practice of physical activity, reduced sedentary behavior (SB), and several health benefits. It was aimed to evaluate the association between perception of the built environment (BE) and measures of habitual behavior, cardiometabolic risk factors, and cardiorespiratory fitness in adolescents. Study was conducted with 309 students aged 14 to 16 years. BE characteristics were evaluated by Neighborhood Walkability Scale for Youth. Habitual behaviors were assessed by accelerometry. Cell phone use and sedentary time (TST) were assessed using questionnaires. Cardiometabolic risk factors were measured by anthropometry and blood collection, and cardiorespiratory fitness was assessed. Latent class analysis was used to identify BE classes. Association tests were performed between the generated classes and the other outcomes. The latent classes identified were: Class 1, “Best BE”; Class 2, “Moderate BE”; Class 3, “Worst BE”. Adolescents with ‘high SB’ and ‘high TST’ were respectively 1.33 and 1.40 more likely to belong to the class 3 than the class 1. Adolescents with “high triglycerides” had 3.99 times more chance to belong to the class 3 than the class 1. The results highlight the influence of neighborhood BE classes on SB, TST, and triglycerides in adolescents
DOI: 10.5066/p9hzhxxv
title: High-resolution geophysical and sampling data collected off Town Neck Beach in Sandwich, Massachusetts, 2016

description: Geophysical and geological survey data were collected off Town Neck Beach in Sandwich, Massachusetts, in May and July 2016. Approximately 130 linear kilometers of subbottom (seismic-reflection) and 234-kilohertz interferometric sonar (bathymetric and backscatter) data were collected along with sediment samples, sea floor photographs, and (or) video at 26 sites within the geophysical survey area. Sediment grab samples were collected at 19 of the 26 sampling sites and video and (or) photographic imagery of the sea floor were taken at all 26 sites. These survey data are used to characterize the sea floor by identifying sediment-texture, seabed morphology, and underlying geologic structure and stratigraphy.  Data collected during these 2016 surveys are included in this data release: https://doi.org/10.5066/P9HZHXXV.  More information can be found on the websites for the Woods Hole Coastal and Marine Science Center field activities at https://cmgds.marine.usgs.gov/fan_info.php?fan=2016-017-FA and https://cmgds.marine.usgs.gov/fan_info.php?fan=2016-037-FA.
DOI: 10.15468/dl.jmvcxp
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Melanotaenia ammeri)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 14 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015141-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/4hs53wxyxc
title: Vanchai Sata

description: Vanchai Sata
DOI: 10.17632/4hs53wxyxc.1
title: Vanchai Sata

description: Vanchai Sata
DOI: 10.17632/b47nrc8pzw
title: EMG activity, resting motor threshold, and cerebellar brain inhibition in a study of cerebellar transcranial static magnetic field stimulation

description: This dataset includes metadata from a human study investigating the effects of cerebellar transcranial static magnetic field stimulation (tSMS) on voluntary force production, resting motor threshold (rMT), and cerebellar brain inhibition (CBI). A total of 44 healthy adults participated in this randomized, sham-controlled trial. Electromyographic (EMG) activity of the first dorsal interosseous muscle, rMT, and paired-pulse transcranial magnetic stimulation (TMS) data for assessing CBI were recorded before and after the application of real or sham triple-magnet tSMS over the right cerebellar hemisphere. These data were used to evaluate the neuromodulatory effects of cerebellar tSMS on motor output and corticocerebellar interaction.
DOI: 10.17632/b47nrc8pzw.1
title: EMG activity, resting motor threshold, and cerebellar brain inhibition in a study of cerebellar transcranial static magnetic field stimulation

description: This dataset includes metadata from a human study investigating the effects of cerebellar transcranial static magnetic field stimulation (tSMS) on voluntary force production, resting motor threshold (rMT), and cerebellar brain inhibition (CBI). A total of 44 healthy adults participated in this randomized, sham-controlled trial. Electromyographic (EMG) activity of the first dorsal interosseous muscle, rMT, and paired-pulse transcranial magnetic stimulation (TMS) data for assessing CBI were recorded before and after the application of real or sham triple-magnet tSMS over the right cerebellar hemisphere. These data were used to evaluate the neuromodulatory effects of cerebellar tSMS on motor output and corticocerebellar interaction.
DOI: 10.17632/8mfgd8w9rg
title: Experimental data set on the interior temperature of a vehicle (sedan): Measurements in hot-humid climate conditions in winter and spring.

description: Based on experimental measurements, it has been observed that the internal temperature of a sedan varies significantly depending on its position (windshield, windows, and air conditioning console) in hot and humid climate conditions. These temperatures are also influenced by the external environment and seasonal changes. Additionally, they are affected by the type of interior ventilation.

The obtained data evidence the greenhouse effect inside the vehicle, showing that temperatures in areas such as the windshield and rear window considerably exceed the ambient temperature. The main findings indicate that temperatures on surfaces exposed to the sun are highest, and the seasonal influence is evident, with higher interior temperatures in spring. The data distinguish between high surface temperatures and indoor air temperatures, highlighting the importance of heat transfer.

This dataset is valuable for validating predictive thermal models, optimizing air conditioning and heating systems, improving vehicle comfort, and conducting safety studies that warn of the dangers of high internal temperatures. The data provide a detailed basis for understanding the complex interaction between climate and a vehicle's thermal environment and are a useful tool for automotive engineering, thermodynamics, and heat transfer research.
DOI: 10.15468/dl.dq75vk
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Entomacrodus incisolabiatus"
 ]
}

 The dataset includes 25 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015143-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/8mfgd8w9rg.1
title: Experimental data set on the interior temperature of a vehicle (sedan): Measurements in hot-humid climate conditions in winter and spring.

description: Based on experimental measurements, it has been observed that the internal temperature of a sedan varies significantly depending on its position (windshield, windows, and air conditioning console) in hot and humid climate conditions. These temperatures are also influenced by the external environment and seasonal changes. Additionally, they are affected by the type of interior ventilation.

The obtained data evidence the greenhouse effect inside the vehicle, showing that temperatures in areas such as the windshield and rear window considerably exceed the ambient temperature. The main findings indicate that temperatures on surfaces exposed to the sun are highest, and the seasonal influence is evident, with higher interior temperatures in spring. The data distinguish between high surface temperatures and indoor air temperatures, highlighting the importance of heat transfer.

This dataset is valuable for validating predictive thermal models, optimizing air conditioning and heating systems, improving vehicle comfort, and conducting safety studies that warn of the dangers of high internal temperatures. The data provide a detailed basis for understanding the complex interaction between climate and a vehicle's thermal environment and are a useful tool for automotive engineering, thermodynamics, and heat transfer research.
DOI: 10.15468/dl.wfn9ax
title: Occurrence Download

description: A dataset containing 11088 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Myrmoderus squamosus)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 11088 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015142-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/57p26ycbj9.1
title: Modulating synaptic glutamate receptors by targeting network nodes of the postsynaptic density condensate. Bowen Jia et al.

description: Raw materials and images of Modulating synaptic glutamate receptors by targeting network nodes of the postsynaptic density condensate submitted for Molecular Cell.
DOI: 10.17632/h273n9twh6
title: Raw mass spectrometry data files of oxo-lipidomics and PGs (Aracdonic Acids)

description: Raw mass spectrometry data files of oxo-lipidomics and PGs (Aracdonic Acids) for "ALDH2/eIF3E Interaction Modulates Protein Translation Critical for Cardiomyocyte Ferroptosis in Acute Myocardial Ischemia Injury".
DOI: 10.17632/h273n9twh6.1
title: Raw mass spectrometry data files of oxo-lipidomics and PGs (Aracdonic Acids)

description: Raw mass spectrometry data files of oxo-lipidomics and PGs (Aracdonic Acids) for "ALDH2/eIF3E Interaction Modulates Protein Translation Critical for Cardiomyocyte Ferroptosis in Acute Myocardial Ischemia Injury".
DOI: 10.17632/cdjfm2gn97
title: Multidimensional influence mechanism of college students' sports activities and happiness

description: Academic anxiety and the mediating role of social support among college students
DOI: 10.15468/dl.xjfeaq
title: Occurrence Download

description: A dataset listing the 741 species recorded in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "MediaType is Audio",
 "OccurrenceStatus is Present",
 "TaxonKey is Orthoptera"
 ]
}

 The dataset's 741 records were derived from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015122-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/cdjfm2gn97.1
title: Multidimensional influence mechanism of college students' sports activities and happiness

description: Academic anxiety and the mediating role of social support among college students
DOI: 10.15468/dl.362uyb
title: Occurrence Download

description: A dataset containing 1134 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Myrmoderus ruficauda)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 1134 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015145-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9ecr7k
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-30000.0",
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Bitis schneideri"
 ]
}

 The dataset includes 40 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015144-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/xhhgzjjt3h
title: Trichoderma Swollenin protein interacts with AtABCB5 transporter to regulate plant development by activating rapid auxin signaling

description: The datasets registers the trichoderma swollenin protein interacts with AtABCB5 transporter to regulate plant development by activating rapid auxin signaling..30