cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/v8wsjm3fnp.1
title: Complementary dataset for "Integrating agro-industrial waste in clay-based porous ceramics for eco-friendly cooling applications"

description: This dataset presents detailed experimental data on the development and characterization of ecofriendly porous ceramics made from natural clay, rice husk, and recycled ceramic waste, aimed at applications in passive and evaporative cooling systems. It includes measurements of apparent porosity (%), bulk density (g cm⁻³), linear shrinkage (%) (drying and firing), water absorption (%), thermal conductivity (W m⁻¹ K⁻¹), thermal diffusivity (mm² s⁻¹), compressive strength (MPa), and flexural strength (MPa) for seven different mixtures (M0–M6) fired at 900°C, 1000°C, and 1100°C. Additional data include the permeability coefficient and capillary absorption coefficient of fired products, as well as cooling performance metrics under varying air velocities to assess thermal-hygrometric behavior. The dataset also provides mineralogical data from X-ray diffraction (XRD) analyses and thermal properties derived from DTA/TGA of the raw materials. These data support research on sustainable construction materials and energy-efficient cooling technologies.
DOI: 10.57760/sciencedb.25345
title: Supplementary Figure S1 PPI network of differentially expressed genes and screening of key genes
title: 附图1 差异表达基因PPI网络和关键基因筛选

description: A: PPI network map of 54 differentially expressed genes. B: PPI network map of key genes.
description: A: PPI network map of 54 differentially expressed genes. B: PPI network map of key genes.
DOI: 10.15468/dl.424zs6
title: Occurrence Download

description: A dataset containing 3445415 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Plantae)",
 "Country is New Zealand",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 0"
 ]
}

 The dataset includes 3445415 records from 392 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000520-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15460108
title: ENSURING GENDER EQUALITY IN HIGHER EDUCATION: YOUTH INITIATIVES AND ROLES IN GENDER EQUALITY

description: This study explores the issue of ensuring gender equality in higher education and the initiatives and roles of youth in promoting gender equality. It analyzes young people's awareness, practical activities, existing problems, and solutions related to gender equality. The research findings show a generally positive attitude among youth towards gender equality, although stereotypes and gender imbalances still persist. The study provides practical recommendations to strengthen gender equality in educational institutions. It also emphasizes the presence of youth activism and initiatives in gender issues, highlighting the need for systematic support. Based on the research results, practical proposals to enhance gender equality and youth engagement in higher education institutions were developed.
DOI: 10.5281/zenodo.15460109
title: ENSURING GENDER EQUALITY IN HIGHER EDUCATION: YOUTH INITIATIVES AND ROLES IN GENDER EQUALITY

description: This study explores the issue of ensuring gender equality in higher education and the initiatives and roles of youth in promoting gender equality. It analyzes young people's awareness, practical activities, existing problems, and solutions related to gender equality. The research findings show a generally positive attitude among youth towards gender equality, although stereotypes and gender imbalances still persist. The study provides practical recommendations to strengthen gender equality in educational institutions. It also emphasizes the presence of youth activism and initiatives in gender issues, highlighting the need for systematic support. Based on the research results, practical proposals to enhance gender equality and youth engagement in higher education institutions were developed.
DOI: 10.5281/zenodo.14044940
title: Old repository 2

description: Old data from a review.
DOI: 10.5281/zenodo.14044939
title: Old repository 2

description: Old data from a review.
DOI: 10.15468/dl.a5kh3p
title: Occurrence Download

description: A dataset containing 33676216 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Colombia"
 ]
}

 The dataset includes 33676216 records from 4835 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005621-250515123054153/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.30636425
title: The genome assemblies and annotations for <i>Dunaliella</i>

description: The genome assemblies and annotations for <i>Dunaliella</i>
DOI: 10.6084/m9.figshare.30636425.v1
title: The genome assemblies and annotations for <i>Dunaliella</i>

description: The genome assemblies and annotations for <i>Dunaliella</i>
DOI: 10.15468/dl.66bxr8
title: Occurrence Download

description: A dataset containing 7631 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eriocephalus"
 ]
}

 The dataset includes 7631 records from 130 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038778-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jf8b2y
title: Occurrence Download

description: A dataset containing 612560 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "PublishingCountry is Viet Nam"
 ]
}

 The dataset includes 612560 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038760-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fjvmz9
title: Occurrence Download

description: A dataset containing 7063 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Axis axis"
 ]
}

 The dataset includes 7063 records from 92 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038779-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18150/fz4rpz
title: Development of Magnetic Sponges Using Steel Melting on 3D Carbonized Spongin Scaffolds Under Extreme Biomimetics Conditions.

description: The dataset includes raw data of the measurements presented in the paper. The file name corresponds to the number of graphs in the original paper. The datasets include:Images and video from the phoneDigital Microscopy - digital microscopy imagesSEM/EDX - scanning electron microscopy images with EDX analyses and elemental mapping analysesTEM - transmission electron microscopy and electron diffraction patternFT-IR - fourier transform infrared spectroscopyXRD - x-ray diffractionVSM - vibrating-sample magnetometerLSV - linear sweep voltammetry and the Tafel plots extracted from the corresponding LSV curves - catalytic properties during the hydrogen evolution reactionDataset include .jpg, .tif, .tiff, .pdf, .xlsx, .csv, .txt, .gif, .dta files, which can be opened in commonly available software.The experimental methodology is included in the linked paper.
DOI: 10.15468/dl.4acepc
title: Occurrence Download

description: A dataset containing 4162978 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "PublishingCountry is China"
 ]
}

 The dataset includes 4162978 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038761-251025141854904/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.30294885
title: Unsupervised classification of graded animal vocalisations using fuzzy clustering

description: Graded vocal repertoires represent a challenge for bioacoustics. We present an unsupervised classification procedure designed to take gradation into account, based on Mel frequency cepstral coefficients and fuzzy clustering. Cepstral coefficients are well defined for tonal, broadband and pulsed sounds. They compress information about the distribution of energy across frequencies into a limited number of variables. The Mel scale mimics the perception of pitch by mammalian ears. Fuzzy clustering is a soft classification approach. Instead of assigning samples to a single category, it describes their position relative to overlapping clusters and can therefore identify stereotyped and graded vocalisations within a repertoire. We evaluated the performance of this procedure on a set of long-finned pilot whale (<i>Globicephala melas</i>) calls. Fuzzy clustering was much less time-consuming than manual classification (days vs. months), but identified a smaller number of categories (three to six fuzzy clusters compared to 11 human-defined call types). Some fuzzy clusters were similar to sets of human-defined call types, but some call types were spread over several fuzzy clusters. Fuzzy clusters provide new quantitative insight about the gradation of vocal repertoires. We discuss the results and the need to investigate the functions of call gradation in future research.
DOI: 10.6084/m9.figshare.30294885.v1
title: Unsupervised classification of graded animal vocalisations using fuzzy clustering

description: Graded vocal repertoires represent a challenge for bioacoustics. We present an unsupervised classification procedure designed to take gradation into account, based on Mel frequency cepstral coefficients and fuzzy clustering. Cepstral coefficients are well defined for tonal, broadband and pulsed sounds. They compress information about the distribution of energy across frequencies into a limited number of variables. The Mel scale mimics the perception of pitch by mammalian ears. Fuzzy clustering is a soft classification approach. Instead of assigning samples to a single category, it describes their position relative to overlapping clusters and can therefore identify stereotyped and graded vocalisations within a repertoire. We evaluated the performance of this procedure on a set of long-finned pilot whale (<i>Globicephala melas</i>) calls. Fuzzy clustering was much less time-consuming than manual classification (days vs. months), but identified a smaller number of categories (three to six fuzzy clusters compared to 11 human-defined call types). Some fuzzy clusters were similar to sets of human-defined call types, but some call types were spread over several fuzzy clusters. Fuzzy clusters provide new quantitative insight about the gradation of vocal repertoires. We discuss the results and the need to investigate the functions of call gradation in future research.
DOI: 10.5281/zenodo.17628944
title: Dataset for the randomized controlled trial on diaphragmatic breathing and sleep bruxism (2025)

description: This dataset contains anonymized data from a randomized controlled trial evaluating the effect of a four-week diaphragmatic breathing program on sleep bruxism, sleep quality (PSQI), and oro-facial pain (VAS). Data were collected at baseline (T0) and after 4 weeks (T1)
DOI: 10.5281/zenodo.17628945
title: Dataset for the randomized controlled trial on diaphragmatic breathing and sleep bruxism (2025)

description: This dataset contains anonymized data from a randomized controlled trial evaluating the effect of a four-week diaphragmatic breathing program on sleep bruxism, sleep quality (PSQI), and oro-facial pain (VAS). Data were collected at baseline (T0) and after 4 weeks (T1)
DOI: 10.15468/dl.rxjdzb
title: Occurrence Download

description: A dataset containing 2666 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is July",
 "OccurrenceStatus is Present",
 "TaxonKey is Oryctolagus cuniculus",
 "Year 2025-2025"
 ]
}

 The dataset includes 2666 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038781-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ssb8hz
title: Occurrence Download

description: A dataset containing 3620 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Callosciurus finlaysonii"
 ]
}

 The dataset includes 3620 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038782-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17628845
title: Supplementary Material for Analysis of Transcript Expression and Core Promoter DNA  Sequences of Brain, Adipose Tissues and Testis in Human and Fruit Fly

description: Supplementary Material for: Analysis of Transcript Expression and Core Promoter DNA  Sequences of Brain, Adipose Tissues and Testis in Human and Fruit Fly

Zip file contains:

Supplementary Figures 1-8

Supplementary file 1 cytoscape network file - Cytoscape file contains all networks and related data

Supplementary tables:   Supplementary Table S1 - Table contains the calculated specificity indices   Supplementary Table S2 - Table summarizes the found GO terms   Supplementary Table S3 - Table contains the ortholog data of transcripts   Supplementary Table S4 -Table summarizes the highly enriched orthologues and associated disease data
DOI: 10.5281/zenodo.17628846
title: Supplementary Material for Analysis of Transcript Expression and Core Promoter DNA  Sequences of Brain, Adipose Tissues and Testis in Human and Fruit Fly

description: Supplementary Material for: Analysis of Transcript Expression and Core Promoter DNA  Sequences of Brain, Adipose Tissues and Testis in Human and Fruit Fly

Zip file contains:

Supplementary Figures 1-8

Supplementary file 1 cytoscape network file - Cytoscape file contains all networks and related data

Supplementary tables:   Supplementary Table S1 - Table contains the calculated specificity indices   Supplementary Table S2 - Table summarizes the found GO terms   Supplementary Table S3 - Table contains the ortholog data of transcripts   Supplementary Table S4 -Table summarizes the highly enriched orthologues and associated disease data
DOI: 10.15468/dl.97vbgv
title: Occurrence Download

description: A dataset containing 63396 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is The birds collection (ZO) of the Muséum national d'Histoire Naturelle (MNHN - Paris)"
 ]
}

 The dataset includes 63396 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038769-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15640817
title: Machine Learning Detection of Microtubule and Swarms Gliding on 2D Kinesin Substrate, Dataset and Models

description: This dataset accompanies the study "Machine Learning Detection of Microtubule and Swarms Gliding on 2D Kinesin Substrate" It contains the experimental fluorescent detected labelled data and trained machine-learning models used for segmentation.

Microtubule motility assays on kinesin-coated substrates are widely used to investigate emergent behaviours in active matter. Traditional analysis methods rely on manual extraction of microtubule trajectories, limiting reproducibility and scalability. To address this challenge, we developed an automated image-analysis framework based on deep-learning–driven segmentation and tracking. The computational code for this pipeline is openly available on GitHub (link in the “Related Resources” section), while this Zenodo repository provides all datasets and trained models necessary to reproduce the key results.
DOI: 10.5281/zenodo.17629105
title: Data for "Topological Evidence of the Impact of Modern Development on Neighborhoods' Street Network Structures in Oman"

description: The data and its description will be available here soon.
DOI: 10.5281/zenodo.15640816
title: Machine Learning Detection of Microtubule and Swarms Gliding on 2D Kinesin Substrate, Dataset and Models

description: This dataset accompanies the study "Machine Learning Detection of Microtubule and Swarms Gliding on 2D Kinesin Substrate" It contains the experimental fluorescent detected labelled data and trained machine-learning models used for segmentation.

Microtubule motility assays on kinesin-coated substrates are widely used to investigate emergent behaviours in active matter. Traditional analysis methods rely on manual extraction of microtubule trajectories, limiting reproducibility and scalability. To address this challenge, we developed an automated image-analysis framework based on deep-learning–driven segmentation and tracking. The computational code for this pipeline is openly available on GitHub (link in the “Related Resources” section), while this Zenodo repository provides all datasets and trained models necessary to reproduce the key results.
DOI: 10.5281/zenodo.17629104
title: Data for "Topological Evidence of the Impact of Modern Development on Neighborhoods' Street Network Structures in Oman"

description: The data and its description will be available here soon.
DOI: 10.5281/zenodo.17308423
title: AI'nspired: Data for evaluating AI-generated vs. web images as sources of design inspiration

description: The resource contains data from an experimental study involving a design task supplemented by three questionnaires. The experiment generated a dataset comprising 26 tram designs. These projects were developed as part of a ”Trams of the Future” competition organized by the Faculty of Architecture at Poznan University of Technology, Poznan Technological Institute Łukasiewicz, and Modertrans. The design task was undertaken by 52 participants, working individually or in pairs. As part of the design process, participants were required to gather inspiration from two sources, selecting up to 10 images from open online sources and up to 10 generated using the Midjourney V6 tool. In total, 1050 images were gathered for analyses (474 web inspirations, 417 AI inspirations, and 159 final project images). These are available in the AI'nspired images.zip file. Prompts used by students to create Midjourney images selected as inspirational are in the AI'nspired_participant_image_prompts.csv file. Precomputed color, contrast, Resnet embedding, and DINO embedding similarities between inspiration images and final design images are available in the AI'inspired image similarities.csv file.

Participants also completed two questionnaires detailing their experiences with AI tools and their preferences for the images used as inspiration. The first questionnaire was completed before the projects started, whereas the second one was completed after submitting the final designs. Finally, a separate survey was conducted among 33 experts in architecture, interior design, industrial design, and visual arts. The experts filled out an online questionnaire to rate the tram designs in terms of creativity and innovation. Data from all three surveys (along with group identifiers for matching images to surveys) are available in the AI'nspired surveys.zip file. The surveys are in two languages: Polish [PL] - the original language in which they were gathered, and English [EN] - translations of the original survey questions and answers.
DOI: 10.5281/zenodo.14891204
title: AI'nspired: Data for evaluating AI-generated vs. web images as sources of design inspiration

description: The resource contains data from an experimental study involving a design task supplemented by three questionnaires. The experiment generated a dataset comprising 26 tram designs. These projects were developed as part of a ”Trams of the Future” competition organized by the Faculty of Architecture at Poznan University of Technology, Poznan Technological Institute Łukasiewicz, and Modertrans. The design task was undertaken by 52 participants, working individually or in pairs. As part of the design process, participants were required to gather inspiration from two sources, selecting up to 10 images from open online sources and up to 10 generated using the Midjourney V6 tool. In total, 1050 images were gathered for analyses (474 web inspirations, 417 AI inspirations, and 159 final project images). These are available in the AI'nspired images.zip file. Prompts used by students to create Midjourney images selected as inspirational are in the AI'nspired_participant_image_prompts.csv file. Precomputed color, contrast, Resnet embedding, and DINO embedding similarities between inspiration images and final design images are available in the AI'inspired image similarities.csv file.

Participants also completed two questionnaires detailing their experiences with AI tools and their preferences for the images used as inspiration. The first questionnaire was completed before the projects started, whereas the second one was completed after submitting the final designs. Finally, a separate survey was conducted among 33 experts in architecture, interior design, industrial design, and visual arts. The experts filled out an online questionnaire to rate the tram designs in terms of creativity and innovation. Data from all three surveys (along with group identifiers for matching images to surveys) are available in the AI'nspired surveys.zip file. The surveys are in two languages: Polish [PL] - the original language in which they were gathered, and English [EN] - translations of the original survey questions and answers.
DOI: 10.15468/dl.aw89wq
title: Occurrence Download

description: A dataset containing 14939 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hormathophylla"
 ]
}

 The dataset includes 14939 records from 321 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038783-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17432963
title: A systematic benchmark of bioinformatics methods for single-cell and spatial RNA-seq Nanopore long reads data
DOI: 10.15468/dl.xvffs9
title: Occurrence Download

description: A dataset containing 131 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Human Observation)",
 "Geometry POLYGON((87.2466 29.73024,87.2466 25.3429,87.02162 20.79055,91.52136 18.45964,98.94595 26.75776,96.6134 30.76391,87.2466 29.73024))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Rubus ellipticus"
 ]
}

 The dataset includes 131 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038785-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r5g7yp
title: Occurrence Download

description: A dataset containing 762 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Fagus engleriana"
 ]
}

 The dataset includes 762 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038786-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.