cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18742989
title: Quantitative Micro-CT Characterization of Shell Mineralization Patterns and Structural Adaptations in Molluscan Classes

description: Marine molluscs serve as essential ecosystem engineers, with their shells functioning as vital geochemical records of historical and current environmental conditions, in addition to providing structural protection. Four key parameters of shell biomineralization, shell mineral density (SMD), porosity, microstructural layer thickness (MLT), and calcified shell volume (CSV) were quantitatively evaluated in this study using high-resolution micro-computed tomography (Micro-CT) across four major shelled classes of Mollusca (Polyplacophora, Gastropoda, Bivalvia, and Cephalopoda) covering three ontogenetic stages (juvenile, subadult, and adult) and three anatomical regions (R1, R2, R3)  to elucidate phylogenetic and developmental trends in shell architecture. Analysis reveals that Polyplacophora showed the highest SMD and the lowest porosity percentages, reflecting the evolution of extremely compact and mechanically resistant armour tailored for survival in high-energy intertidal habitats. Over their ontogeny, gastropods displayed increased mineral enrichment and thickness, indicating sustained structural reinforcement. Bivalvia exhibited ontogenetic modulation of calcified shell volume corresponding to progressive hinge specialization, while cephalopods showed heterogeneous mineral density corresponding to buoyancy control mechanisms. SMD and porosity displayed an inverse association across all molluscan classes, demonstrating a preserved biomineralization pattern. This study advances understanding of marine invertebrate shell development and adaptive design by establishing a quantitative, non-destructive, three-dimensional framework.
DOI: 10.5281/zenodo.18742988
title: Quantitative Micro-CT Characterization of Shell Mineralization Patterns and Structural Adaptations in Molluscan Classes

description: Marine molluscs serve as essential ecosystem engineers, with their shells functioning as vital geochemical records of historical and current environmental conditions, in addition to providing structural protection. Four key parameters of shell biomineralization, shell mineral density (SMD), porosity, microstructural layer thickness (MLT), and calcified shell volume (CSV) were quantitatively evaluated in this study using high-resolution micro-computed tomography (Micro-CT) across four major shelled classes of Mollusca (Polyplacophora, Gastropoda, Bivalvia, and Cephalopoda) covering three ontogenetic stages (juvenile, subadult, and adult) and three anatomical regions (R1, R2, R3)  to elucidate phylogenetic and developmental trends in shell architecture. Analysis reveals that Polyplacophora showed the highest SMD and the lowest porosity percentages, reflecting the evolution of extremely compact and mechanically resistant armour tailored for survival in high-energy intertidal habitats. Over their ontogeny, gastropods displayed increased mineral enrichment and thickness, indicating sustained structural reinforcement. Bivalvia exhibited ontogenetic modulation of calcified shell volume corresponding to progressive hinge specialization, while cephalopods showed heterogeneous mineral density corresponding to buoyancy control mechanisms. SMD and porosity displayed an inverse association across all molluscan classes, demonstrating a preserved biomineralization pattern. This study advances understanding of marine invertebrate shell development and adaptive design by establishing a quantitative, non-destructive, three-dimensional framework.
DOI: 10.34777/fxzr-nc56
title: The EMN Country Factsheets Structured Dataset

description: Each year, the European Migration Network (EMN) country factsheets deliver an overview of key migration and international protection developments within all EMN Member States and observer countries. The factsheets include both a textual component and a visual component. In this paper, we introduce a curated dataset of the textual component of these reports over 35 countries and 13 years (2012-2024.) The dataset was created to facilitate European-level research on migration, and promote the use of reliable sources about migration in data science and media research, particularly at a time when the spread of online misinformation about migration constitutes a serious issue. The dataset transforms the original document texts into a tabular format, with columns corresponding to country, year, section, subsection, content, and harmonized title section.
DOI: 10.5281/zenodo.18743618
title: Syntactically analyzed short story collection (Pentti Haanpää: Maantietä pitkin)

description: Pentti Haanpää, Maantietä pitkin (a short story collection, published originally by WSOY, 1925.)

Raw text originally from https://www.gutenberg.org/ebooks/70603

Syntactic dependency analysis produced with UDPipe: https://lindat.mff.cuni.cz/services/udpipe/
DOI: 10.5281/zenodo.18743617
title: Syntactically analyzed short story collection (Pentti Haanpää: Maantietä pitkin)

description: Pentti Haanpää, Maantietä pitkin (a short story collection, published originally by WSOY, 1925.)

Raw text originally from https://www.gutenberg.org/ebooks/70603

Syntactic dependency analysis produced with UDPipe: https://lindat.mff.cuni.cz/services/udpipe/
DOI: 10.17632/c4bnns89g2
title: Young's modulus and Poisson's ratio versus temperature data from uniaxial extension molecular dynamics simulations of model neat and filled elastomers

description: Young's modulus and Poisson's ratio versus temperature data from uniaxial extension molecular dynamics simulations of model neat and filled elastomers.
DOI: 10.17632/c4bnns89g2.1
title: Young's modulus and Poisson's ratio versus temperature data from uniaxial extension molecular dynamics simulations of model neat and filled elastomers

description: Young's modulus and Poisson's ratio versus temperature data from uniaxial extension molecular dynamics simulations of model neat and filled elastomers.
DOI: 10.5281/zenodo.18743607
title: "Monochromatization of Electron Beams with Spatially and Temporally Modulated Optical Fields"  - dataset

description: This dataset supports the publication "Monochromatization of Electron Beams with Spatially and Temporally Modulated Optical Fields" (https://doi.org/10.1103/PhysRevLett.133.213801).Neli Laštovičková Streshkova, Petr Koutensk, Tomáš Novotný, and Martin Kozák.

Provided data are sufficient to reproducte the crucial results in the study.

File angles.dat contains the data required to reproduce figure 2.Title of the data axes is directly in the file angles.dat.

File spectra.dat contains the data required to reproduce figure 5.Title of the data axes is directly in the file spectra.dat.

File Woutinum_convolved_downsamp_with_labels.bin contains the data from Figure 4 (b)as a 2d matrix with x axis time in fs, y axis energy in eV.Spatial downsampling is used to reduce the data volume.Binary format is used to reduce the data volume.

File Woutinum_downsamp_with_labels.bin contains the data from Figure 4 (a)as a 2d matrix with x axis time in fs, y axis energy in eV.Spatial downsampling is used to reduce the data volume.Binary format is used to reduce the data volume.
DOI: 10.18150/dq8wuv
title: Polymer fiber mats provide white and full-color tunable lasing

description: This data set was used as a base to prepare a paper entitled: Polymer fiber mats provide white and full-color tunable lasing. Our work presents hierarchically designed polymer fiber mats with spatially separated RGB laser dyes as a novel solution for achieving white and multicolor random lasing, offering precise spectral tunability, minimized energy transfer, and emission closely matching industry standards such as D65, sRGB, and DCI-P3.In the .zip archive you will find folders for Figure 1 to 3 of the Related Publication. Each folder contains the figure itself and underlying data presented as tab-separated values in .txt format. For more details, see the readme.txt file.
DOI: 10.15468/dl.c97pxe
title: Occurrence Download

description: A dataset containing 8010 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sepiola",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 8010 records from 166 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003767-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18743606
title: "Monochromatization of Electron Beams with Spatially and Temporally Modulated Optical Fields"  - dataset

description: This dataset supports the publication "Monochromatization of Electron Beams with Spatially and Temporally Modulated Optical Fields" (https://doi.org/10.1103/PhysRevLett.133.213801).Neli Laštovičková Streshkova, Petr Koutensk, Tomáš Novotný, and Martin Kozák.

Provided data are sufficient to reproducte the crucial results in the study.

File angles.dat contains the data required to reproduce figure 2.Title of the data axes is directly in the file angles.dat.

File spectra.dat contains the data required to reproduce figure 5.Title of the data axes is directly in the file spectra.dat.

File Woutinum_convolved_downsamp_with_labels.bin contains the data from Figure 4 (b)as a 2d matrix with x axis time in fs, y axis energy in eV.Spatial downsampling is used to reduce the data volume.Binary format is used to reduce the data volume.

File Woutinum_downsamp_with_labels.bin contains the data from Figure 4 (a)as a 2d matrix with x axis time in fs, y axis energy in eV.Spatial downsampling is used to reduce the data volume.Binary format is used to reduce the data volume.
DOI: 10.15468/dl.qd5djj
title: Occurrence Download

description: A dataset containing 4981 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Allogamus auricollis"
 ]
}

 The dataset includes 4981 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003768-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ss/moqsce
title: Music and Poetry from the Pamir Mountains 1992
title: Fieldwork materials from Tajik Badakhshan

description: This collection was recorded during fieldwork into the sung poetry of Tajik Badakhshan, also known as the Autonomous Region of Gorno-Badakhshan or simply Pamir (The Pamirs), in the South East of the Central Asian republic of Tajikistan. A number of regions within Tajik Badakhshan were visited in 1992 and 1993 (and in later years) in order to record music and poetry. These regions are Shughnan, Rushan including the Bartang valley up to the village of Roshorw, and Wakhan.
description: In addition to Tajik Persian, also Pamir languages, such as Shughni-Rushani and Wakhi. An extensive overview + translation of the lyrics is available in the book 'Minstrel Poetry from the Pamir Mountains' by Gabrielle van den Berg. Languages (Tajik) Persian, Shughni, Rushani, Wakhi.
DOI: 10.15468/dl.mmx792
title: Occurrence Download

description: A dataset containing 7413096 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation, Occurrence evidence, Observation)",
 "Country is Chile",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Animalia, Plantae)",
 "Year 2013-2020"
 ]
}

 The dataset includes 7413096 records from 102 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003724-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17038270
title: On the compatibility of Single-Scan Terrestrial LiDAR with Digital Photogrammetry and field inventory metrics of vegetation structure in forest and agroforestry landscapes

description: The dataset contains the R scripts and data table used in comparing structural attributes from single-scan terrestrial laser scanning (TLS), digital aerial photogrammetry (DAP), and field inventory. Details on the variable extraction are well documented in Mohan et al. (2021) for DAP data and Ehbrecht et al. (2017) for TLS metrics.
DOI: 10.5281/zenodo.18743039
title: On the compatibility of Single-Scan Terrestrial LiDAR with Digital Photogrammetry and field inventory metrics of vegetation structure in forest and agroforestry landscapes

description: The dataset contains the R scripts and data table used in comparing structural attributes from single-scan terrestrial laser scanning (TLS), digital aerial photogrammetry (DAP), and field inventory. Details on the variable extraction are well documented in Mohan et al. (2021) for DAP data and Ehbrecht et al. (2017) for TLS metrics.
DOI: 10.6084/m9.figshare.31007341
title: Figures for Miquel M et al. FasebBioadvances 2025-00325R

description: Study of mice intestinal paracellular permeability, in healthy conditions, chronic stress and lipid diet
DOI: 10.6084/m9.figshare.31007341.v2
title: Figures for Miquel M et al. FasebBioadvances 2025-00325R

description: Study of mice intestinal paracellular permeability, in healthy conditions, chronic stress and lipid diet
DOI: 10.6084/m9.figshare.31007341.v3
title: Figures for Miquel M et al. FasebBioadvances 2025-00325R

description: Study of mice intestinal paracellular permeability, in healthy conditions, chronic stress and lipid diet
DOI: 10.82261/h1vh-wn15
title: Digital Atlas of the Roman Empire
title: DARE
DOI: 10.25824/redu/asnrdy
title: Dados de replicação para: Pacientes com cicatrizes hipertróficas tardias submetidas a microagulhamento com drug delivery de nanofat

description: Este conjunto de dados é oriundo de uma coorte prospectiva observacional realizada no Hospital de Clínicas da Unicamp, com o objetivo de avaliar a eficácia do microagulhamento associado ao drug delivery de nanofat no tratamento de cicatrizes hipertróficas tardias (com mais de um ano de evolução). A amostra incluiu 21 cicatrizes de diferentes etiologias e localizações, tratadas ao longo de um período de seis meses. Os dados clínicos foram coletados em três momentos: antes do início do tratamento, após três meses e após seis meses. As variáveis avaliadas incluem os escores da Escala de Avaliação Cicatricial Paciente/Observador (POSAS) — versão paciente e versão observador — com análise dos seguintes domínios: dor, coceira, cor, rigidez, altura, irregularidade, espessura, vascularização, pigmentação, maleabilidade e opinião geral. Também foram registrados o número de sessões realizadas, a técnica utilizada, perdas de seguimento e a adesão dos pacientes ao tratamento. Os dados gerados permitem a análise longitudinal da resposta clínica ao tratamento proposto, sendo úteis para a validação de intervenções minimamente invasivas em cicatrizes refratárias, especialmente em contextos de saúde pública. O conjunto de dados também contribui para a construção de protocolos institucionais e pode servir de base para estudos comparativos futuros.
DOI: 10.15468/dl.ekb4s8
title: Occurrence Download

description: A dataset containing 492 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Allogamus hilaris"
 ]
}

 The dataset includes 492 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003772-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nmgbz6
title: Occurrence Download

description: A dataset containing 936 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "GadmGid is FRA.11.10_1",
 "TaxonKey is Lanius meridionalis"
 ]
}

 The dataset includes 936 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003771-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48320/491c50f4-1f64-4180-9647-1438dbf53b8e
title: Panel Study of Russian Public Opinion and Attitudes (PROPA)
DOI: 10.5281/zenodo.18743822
title: Panel Study of Russian Public Opinion and Attitudes (PROPA) – Wave 4

description: The fourth wave of the Panel Study of Russian Public Opinion and Attitudes (PROPA) was conducted online (June 9 – June 28, 2025; N=3,666). The respondents were recruited through the online marketplace panels. The survey gathers insights from a wide demographic cross-section of the Russian society, providing a snapshot of the attitudes, economic perceptions, and political allegiances of Russian citizens. The panel component includes 1621 respondents.

Participants are Russian citizens aged 18 and over residing in Russia at the time of collection. On average, participants completed the survey in 14 minutes.

The dataset includes detailed measures of respondents' socio-demographic characteristics (gender, age, region of residence, settlement type, city name, education, occupation, and household material situation), economic evaluations (satisfaction with personal and national economic conditions), political engagement (interest in politics, frequency of discussion, and perceived support for Vladimir Putin in respondents' social circles and in Russia overall), and institutional trust (approval of the President, Government, and State Duma, as well as trust in Russians who left after 24 February 2022). It also contains war-related items capturing personal or family participation, support for the war in Ukraine, expectations about the likelihood of selected developments in the near future, including new wave of mobilization, economic growth in Russia, nuclear war, completion of the special operation, rise in crime in Russia, and perceived safety of participating in war-related surveys. Finally, the dataset provides a battery on media consumption, including multiple sources of political information, and trust in major information channels (online news and federal television).

Dataset is in .csv and .sav format. Codebook is in .pdf format.
description: Published on Discuss Data, https://discuss-data.net/dataset/491c50f4-1f64-4180-9647-1438dbf53b8e/
description: Method(s) of data collection: Public Opinion Poll
DOI: 10.5281/zenodo.18743821
title: Panel Study of Russian Public Opinion and Attitudes (PROPA) – Wave 4

description: The fourth wave of the Panel Study of Russian Public Opinion and Attitudes (PROPA) was conducted online (June 9 – June 28, 2025; N=3,666). The respondents were recruited through the online marketplace panels. The survey gathers insights from a wide demographic cross-section of the Russian society, providing a snapshot of the attitudes, economic perceptions, and political allegiances of Russian citizens. The panel component includes 1621 respondents.

Participants are Russian citizens aged 18 and over residing in Russia at the time of collection. On average, participants completed the survey in 14 minutes.

The dataset includes detailed measures of respondents' socio-demographic characteristics (gender, age, region of residence, settlement type, city name, education, occupation, and household material situation), economic evaluations (satisfaction with personal and national economic conditions), political engagement (interest in politics, frequency of discussion, and perceived support for Vladimir Putin in respondents' social circles and in Russia overall), and institutional trust (approval of the President, Government, and State Duma, as well as trust in Russians who left after 24 February 2022). It also contains war-related items capturing personal or family participation, support for the war in Ukraine, expectations about the likelihood of selected developments in the near future, including new wave of mobilization, economic growth in Russia, nuclear war, completion of the special operation, rise in crime in Russia, and perceived safety of participating in war-related surveys. Finally, the dataset provides a battery on media consumption, including multiple sources of political information, and trust in major information channels (online news and federal television).

Dataset is in .csv and .sav format. Codebook is in .pdf format.
description: Published on Discuss Data, https://discuss-data.net/dataset/491c50f4-1f64-4180-9647-1438dbf53b8e/
description: Method(s) of data collection: Public Opinion Poll
DOI: 10.5281/zenodo.15674944
title: Chasing bubbles: towards a standardized approach for quantifying methane ebullition in streams and rivers
DOI: 10.5281/zenodo.18743758
title: Chasing bubbles: towards a standardized approach for quantifying methane ebullition in streams and rivers
DOI: 10.15468/dl.nnrtdm
title: Occurrence Download

description: A dataset containing 373 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Allogamus mendax"
 ]
}

 The dataset includes 373 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003774-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5285/54511607-6cbf-424e-b352-c982de937d0a
title: European Monitoring and Evaluation Program Model (EMEP) daily atmospheric composition and flux output data over South Asia

description: This dataset is a model output from the European Monitoring and Evaluation Programme (EMEP) model applied to the South Asia driven by Weather and Research Forecast model meteorology (WRF). It provides daily mean atmospheric compositions and fluxes of the South Asia on a 0.1° x 0.1° resolution grid for years 2015 and 2030.
The EMEP model version used here is rv4.45, and the WRF model version is the 4.4.2. 
This work was carried out within the South Asian Nitrogen Hub funded by the UK Global Challenges Research Fund (GCRF) of UKRI administered by the Natural Environment Research Council (NERC) (NE/S009019/1).
description: Daily average concentrations for a model domain covering the South Asia with a resolution of about 0.1°x 0.1° were calculated using the EMEP atmospheric chemistry transport model. 
The data were processed from the full EMEP model output to a subset containing essential variables only. The Climate Data Operators version 1.9.10 was used to subset the model output.
DOI: 10.15468/xxymuf
title: The Fungarium of Elena Zvyagina

description: Elena Zvyagina's personal collection of fungi collected as a result of field research in various regions of Russia. At the moment, the dataset is loaded mainly with specimens collected in North Karelia, Western Siberia, and the Russian Far East. The collection dataset also includes parts of specimens loaned by various herbaria and personal collections in the course of work on Boletaceae, even if these specimens were returned to the herbarium. The classical method of collection and preservation of dry specimens of macrofungi is used to store the material. A large part of collection has been sequenced and has attached sequence material. The collection is stored at the White Sea Biological Station of Moscow State University (186672, Russia, Republic of Karelia, poselok Primorsky).
DOI: 10.6084/m9.figshare.29505023
title: Data and code supporting the study "Statistically significant chuckles—Who's using humor at scientific conferences?"

description: Data and R code to reproduce the analysis in:Mammola S, Fontaneto D, Santangeli A, Oswald KN, Correia R, Meierhofer MB, De Santis V, Stout V. 2026 Statistically significant chuckles: who is using humour at scientific conferences? Proc. R. Soc. B 293: 20253000.https://doi.org/10.1098/rspb.2025.3000This repository contain a README file (containing all the information about the datasets and analysis), two datasets (db_talks.csv and db_jokes.csv), and a R code (Mammola_et_al_code.r).