cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18591986
title: Japanese Given Names: Data, Analysis, and Interactive Resources

description: This repository provides curated datasets, analysis code, and visualization tools for the empirical study of contemporary Japanese given names. It includes frequency data harvested from public web sources, cleaned and normalized datasets, diversity and distribution metrics, and code for interactive exploration and visualization. Developed in support of the book 'Gender in Japanese Names Today', the  resource is intended as a general platform for computational and quantitative research on Japanese given names.
description: Some of the datasets included here contain material originally compiled by other authors and remain under their respective copyrights. These are included for research and educational purposes. Please check the source attribution files in the `data/` directory for detailed credits and license terms.
DOI: 10.7910/dvn/jtitb9
title: Replication Data for: Local Communities, Distant Origins: How Cultural Distance and Local Context Shape Immigrant Ethnoreligious Infrastructures.

description: Vibrant ethnoreligious infrastructures of businesses, associations, and places of worship are key elements of immigrant community life, providing crucial social and economic support for its members. But why do some immigrant communities establish dense organizational ecologies, while others do not? Analyzing 25,117 ethnoreligious organizations catering to 54 immigrant minorities across more than 4,900 local communities in Germany, the authors show that minority communities with similar population sizes can exhibit vastly different organizational ecologies. Contrary to claims emphasizing local context, category consolidation and community homogeneity do not go along with more ethnicity-focused organizations. Instead, various dimensions of cultural distance between immigrants’ origins and the host society consistently predict organizational densities. Analyses produce mixed support for theories of reactive group formation. These findings highlight the importance of cultural distance and challenge prevailing perspectives emphasizing the primary role of local context for immigrant group formation.
DOI: 10.15468/dl.4zsms4
title: Occurrence Download

description: A dataset containing 176619 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Metridia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 176619 records from 223 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005096-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fescws
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Iguanodectes polylepis",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 7 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005140-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17552425
title: Supporting Information for "Modal Backflow Neural Quantum States for Anharmonic Vibrational Calculations"

description: This data set contains data and codes for reproducing anharmonic vibrational calculations using modal backflow neural quantum states for randomized Watson Hamiltonians and ab initio molecules (chlorine dioxide, formaldehyde, and acetonitrile).
DOI: 10.5281/zenodo.18591764
title: Supporting Information for "Modal Backflow Neural Quantum States for Anharmonic Vibrational Calculations"

description: This data set contains data and codes for reproducing anharmonic vibrational calculations using modal backflow neural quantum states for randomized Watson Hamiltonians and ab initio molecules (chlorine dioxide, formaldehyde, and acetonitrile).
DOI: 10.15468/dl.rc82wm
title: Occurrence Download

description: A dataset containing 38885 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alternanthera philoxeroides",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 }
 ]
}

 The dataset includes 38885 records from 310 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005141-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/xsch4ysfsn
title: Programming of the respiratory epithelium in utero - insights from the amniotic epithelial methylome

description: Abstract

Background: Dysregulation of the airway epithelium contributes to recurrent wheezing and asthma and may have developmental origins. Direct interrogation of fetal airway epithelium is not feasible in humans limiting investigation of prenatal epithelial programming.

Methods: We performed high-throughput target-capture DNA methylation sequencing of matched amniotic epithelial biopsies and neonatal nasal brushings from 84 mother-infant pairs within the Airway Epithelium Respiratory Illnesses and Allergy (AERIAL) cohort. We compared tissue-specific methylation landscapes for conservation and explored associations with gestational exposures known to influence childhood asthma risk (maternal asthma history and maternal prenatal smoking exposure). 

Results: Between amniotic and nasal tissues, we identified 4,897 differentially methylated regions (FDR &lt; 0.05 and log2FC &gt; |0.2|) that were generally hypermethylated in the nasal epithelium. Despite these extensive tissue-specific differences, filtering for non-significant differential methylation loci (FDR &gt; 0.1) revealed 1,493,975 CpG loci (~20%) with highly concordant methylation levels between tissues (Pearson’s R &gt; 0.8). Within this conserved methylome fraction, we identified exposure-associated CpG sites linked to maternal asthma history (55 CpGs) and prenatal smoking exposure (164 CpGs) that showed consistent directionality in both tissues. These analyses were exploratory and limited by small numbers of exposed participants. 

Conclusions: Amniotic epithelium shares a subset of conserved methylation features with the nasal epithelium, supporting its utility as a valuable surrogate for studying aspects of developmental programming of airway vulnerability. While exposure-associated signals were detectable within the conserved methylome fraction, these findings should be considered preliminary, but provide an encouraging framework for early risk stratification in asthma.
DOI: 10.17632/xsch4ysfsn.2
title: Programming of the respiratory epithelium in utero - insights from the amniotic epithelial methylome

description: Abstract

Background: Dysregulation of the airway epithelium contributes to recurrent wheezing and asthma and may have developmental origins. Direct interrogation of fetal airway epithelium is not feasible in humans limiting investigation of prenatal epithelial programming.

Methods: We performed high-throughput target-capture DNA methylation sequencing of matched amniotic epithelial biopsies and neonatal nasal brushings from 84 mother-infant pairs within the Airway Epithelium Respiratory Illnesses and Allergy (AERIAL) cohort. We compared tissue-specific methylation landscapes for conservation and explored associations with gestational exposures known to influence childhood asthma risk (maternal asthma history and maternal prenatal smoking exposure). 

Results: Between amniotic and nasal tissues, we identified 4,897 differentially methylated regions (FDR &lt; 0.05 and log2FC &gt; |0.2|) that were generally hypermethylated in the nasal epithelium. Despite these extensive tissue-specific differences, filtering for non-significant differential methylation loci (FDR &gt; 0.1) revealed 1,493,975 CpG loci (~20%) with highly concordant methylation levels between tissues (Pearson’s R &gt; 0.8). Within this conserved methylome fraction, we identified exposure-associated CpG sites linked to maternal asthma history (55 CpGs) and prenatal smoking exposure (164 CpGs) that showed consistent directionality in both tissues. These analyses were exploratory and limited by small numbers of exposed participants. 

Conclusions: Amniotic epithelium shares a subset of conserved methylation features with the nasal epithelium, supporting its utility as a valuable surrogate for studying aspects of developmental programming of airway vulnerability. While exposure-associated signals were detectable within the conserved methylome fraction, these findings should be considered preliminary, but provide an encouraging framework for early risk stratification in asthma.
DOI: 10.17632/m5966kdzcn
title: Mild Hypothermia Protects the Blood-Brain Barrier through Upregulating Slc16a11 and Reprogramming Endothelial Lipid Metabolism in Ischemic Stroke
DOI: 10.17632/m5966kdzcn.2
title: Mild Hypothermia Protects the Blood-Brain Barrier through Upregulating Slc16a11 and Reprogramming Endothelial Lipid Metabolism in Ischemic Stroke
DOI: 10.15468/dl.kytn3b
title: Occurrence Download

description: A dataset containing 3198 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Asparagus cochinchinensis",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 3198 records from 86 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005143-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/svy6py3ddb
title: Dataset: Historical liquefaction occurrences in the Philippines

description: This database contains historical liquefaction accounts of the Philippines. It includes undated liquefaction records from paleoliquefaction studies, historical liquefaction from 1619 to 2023 and liquefaction related to volcanic eruptions. These were collated and analyzed from various primary and secondary sources. To know more about the development of this database, please refer to the paper by Buhay et al. (2024) about the "Development of a database of historical liquefaction occurrences in the Philippines" https://doi.org/10.1016/j.earscirev.2024.104733

For earthquake-induced liquefaction, the historical liquefaction accounts were attributed to the earthquake event that caused them, as well as the identified earthquake generator. For liquefaction caused by volcanic eruptions, the accounts were also attributed to the active volcanoes that erupted and caused liquefaction.

The liquefaction accounts are also parameterized based on the area where they occurred, the geomorphic unit that liquefied, liquefaction features described, and their probability of occurrence. 

All primary and secondary sources where the liquefaction information were derived are also listed on a separate document for reference of other users.
DOI: 10.15468/dl.j2ad5h
title: Occurrence Download

description: A dataset containing 1031 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Triplaris gardneriana",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 1031 records from 98 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005142-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/svy6py3ddb.2
title: Dataset: Historical liquefaction occurrences in the Philippines

description: This database contains historical liquefaction accounts of the Philippines. It includes undated liquefaction records from paleoliquefaction studies, historical liquefaction from 1619 to 2023 and liquefaction related to volcanic eruptions. These were collated and analyzed from various primary and secondary sources. To know more about the development of this database, please refer to the paper by Buhay et al. (2024) about the "Development of a database of historical liquefaction occurrences in the Philippines" https://doi.org/10.1016/j.earscirev.2024.104733

For earthquake-induced liquefaction, the historical liquefaction accounts were attributed to the earthquake event that caused them, as well as the identified earthquake generator. For liquefaction caused by volcanic eruptions, the accounts were also attributed to the active volcanoes that erupted and caused liquefaction.

The liquefaction accounts are also parameterized based on the area where they occurred, the geomorphic unit that liquefied, liquefaction features described, and their probability of occurrence. 

All primary and secondary sources where the liquefaction information were derived are also listed on a separate document for reference of other users.
DOI: 10.17632/6zb3wydv44
title: KER–LDN Dataset (Part 1)
DOI: 10.17632/6zb3wydv44.1
title: KER–LDN Dataset (Part 1)
DOI: 10.17632/mdyvs8pzfc
title: Raw data for the original research related to "NPC2 Suppresses Osteolytic Metastasis in Lung Adenocarcinoma via the AKT/mTOR Pathway and the Tumor-Osteoclast Crosstalk"

description: This dataset supports the manuscript “NPC2 Suppresses Osteolytic Metastasis in Lung Adenocarcinoma via the AKT/mTOR Pathway and the Tumor-Osteoclast Crosstalk” (iSCIENCE-D-25-11522R2) submitted to Journal of iScience.
DOI: 10.17632/mdyvs8pzfc.1
title: Raw data for the original research related to "NPC2 Suppresses Osteolytic Metastasis in Lung Adenocarcinoma via the AKT/mTOR Pathway and the Tumor-Osteoclast Crosstalk"

description: This dataset supports the manuscript “NPC2 Suppresses Osteolytic Metastasis in Lung Adenocarcinoma via the AKT/mTOR Pathway and the Tumor-Osteoclast Crosstalk” (iSCIENCE-D-25-11522R2) submitted to Journal of iScience.
DOI: 10.17632/fsxkj66xcg.3
title: U–Pb and Rb–Sr geochronology on rare-metal pegmatites

description: Necessary data for this study
DOI: 10.17632/79gj4rvd6b
title: Panel Data on Digitalization, ESG, and Green Supply Chain Upgrading for Decarbonization in Resource-Rich Africa

description: This dataset contains longitudinal panel data for 13 resource-rich African economies over the period 2005–2023. The data was compiled to investigate the "Twin Transition Paradox"—the interaction between digital infrastructure, institutional quality, and environmental sustainability.

The dataset supports empirical analysis using System Generalized Method of Moments (System GMM) to test the mediating role of Green Supply Chain Upgrading (GSCU) in decarbonization. It includes raw macroeconomic indicators sourced from the World Bank and constructed composite indices.

Sampled Countries:
Algeria, Angola, Democratic Republic of the Congo, Egypt, Gabon, Ghana, Kenya, Libya, Morocco, Nigeria, South Africa, Tunisia, and Zimbabwe.

Data Sources:

 World Bank World Development Indicators (WDI): For energy, education, manufacturing, digital, and economic variables.
DOI: 10.5281/zenodo.18545250
title: MTL-MAR: Raw Features and Labels for Marine Sedimentation Rate Prediction

description: Datasets(Features and labels) for training machine learning models for the prediction of global mass accumulation rates of sediments in the seafloor.

features.zip: contains all the features that are collected for the study. A subset of the features are used for training. The code make_training_features* selects the subset of features

labels_mar.zip: contains all the mass accumulation rates and sedimentation rates measurements that are collected for the study.

labels_toc.zip: contains all the total organic carbon concentration measurements that are collected for running the multi task learning model. This data has already been published in Parameswaran, et al. 2025.

outputs.zip: contains all prediction maps(MAR and TOC( from multi task learning model)) from all the machine learning models. Available in .npy, .mat, .xyz and .nc formats.
DOI: 10.5281/zenodo.18591773
title: MTL-MAR: Raw Features and Labels for Marine Sedimentation Rate Prediction

description: Datasets(Features and labels) for training machine learning models for the prediction of global mass accumulation rates of sediments in the seafloor.

features.zip: contains all the features that are collected for the study. A subset of the features are used for training. The code make_training_features* selects the subset of features

labels_mar.zip: contains all the mass accumulation rates and sedimentation rates measurements that are collected for the study.

labels_toc.zip: contains all the total organic carbon concentration measurements that are collected for running the multi task learning model. This data has already been published in Parameswaran, et al. 2025.

outputs.zip: contains all prediction maps(MAR and TOC( from multi task learning model)) from all the machine learning models. Available in .npy, .mat, .xyz and .nc formats.
DOI: 10.17632/79gj4rvd6b.1
title: Panel Data on Digitalization, ESG, and Green Supply Chain Upgrading for Decarbonization in Resource-Rich Africa

description: This dataset contains longitudinal panel data for 13 resource-rich African economies over the period 2005–2023. The data was compiled to investigate the "Twin Transition Paradox"—the interaction between digital infrastructure, institutional quality, and environmental sustainability.

The dataset supports empirical analysis using System Generalized Method of Moments (System GMM) to test the mediating role of Green Supply Chain Upgrading (GSCU) in decarbonization. It includes raw macroeconomic indicators sourced from the World Bank and constructed composite indices.

Sampled Countries:
Algeria, Angola, Democratic Republic of the Congo, Egypt, Gabon, Ghana, Kenya, Libya, Morocco, Nigeria, South Africa, Tunisia, and Zimbabwe.

Data Sources:

 World Bank World Development Indicators (WDI): For energy, education, manufacturing, digital, and economic variables.
DOI: 10.17632/x7ycw775zz
title: 2014 and 2019 aerosol field observation dataset in Guangzhou, china

description: This dataset contains comprehensive, high-time-resolution atmospheric measurement data obtained from two field campaigns conducted in 2014 and 2019. It includes detailed aerosol physical properties, chemical composition, and meteorological parameters.

2014 Campaign:
Aerosol Size Distribution: Particle Number Size Distributions (PNSD) in the range of 9.8–414.2 nm were measured at a 5-minute resolution using a Scanning Mobility Particle Sizer (SMPS, TSI 3938) comprising a Differential Mobility Analyzer (DMA, TSI 3081L) and a Condensation Particle Counter (CPC, TSI 3772).
Non-Refractory PM1 Chemical Composition: Mass concentrations of organic matter (Org), nitrate (NO₃⁻), sulfate (SO₄²⁻), and ammonium (NH₄⁺) were quantified using a High-Resolution Time-of-Flight Aerosol Mass Spectrometer (HR-ToF-AMS, Aerodyne).

2019 Campaign:
Aerosol Size Distribution: Particle size distributions in the range of 11.3–532.8 nm were obtained using an SMPS system identical to the 2014 setup. The data have been corrected for multiple charging and diffusion losses.
Aerosol Hygroscopicity: Hygroscopic growth factors at 90% relative humidity were measured for particles with selected dry diameters (40, 80, 110, 150, and 200 nm) using a Hygroscopicity Tandem Differential Mobility Analyzer (H-TDMA).
Non-Refractory PM2.5 Chemical Composition: Mass concentrations of Org, NO₃⁻, SO₄²⁻, NH₄⁺, and chloride (Chl) were measured with a Quadrupole Aerosol Chemical Speciation Monitor (Q-ACSM).
Black Carbon Mass Concentration: Continuous monitoring was performed using an aethalometer (AE33, Magee Scientific).
Meteorological Data (Both Campaigns):
Wind Speed and Wind Direction data were recorded synchronously, typically at matching high-time-resolution intervals, providing essential context for atmospheric process analysis.
These two comprehensive field investigations at two adjacent sites during two different time periods. One was from 6th to 24th of November in 2019, at the Guangzhou Meteorological Bureau in Panyu, Guangzhou, China (23.01 ° N, 113.32 ° E), and the other was from November 22nd, 2014 to December 31st in 2014, at the Chinese Meteorological Administration (CMA) Atmospheric Watch Network (CAWNET) station in Panyu, Guangzhou, China (23.00 ° N, 133.21 ° E).
DOI: 10.17632/x7ycw775zz.1
title: 2014 and 2019 aerosol field observation dataset in Guangzhou, china

description: This dataset contains comprehensive, high-time-resolution atmospheric measurement data obtained from two field campaigns conducted in 2014 and 2019. It includes detailed aerosol physical properties, chemical composition, and meteorological parameters.

2014 Campaign:
Aerosol Size Distribution: Particle Number Size Distributions (PNSD) in the range of 9.8–414.2 nm were measured at a 5-minute resolution using a Scanning Mobility Particle Sizer (SMPS, TSI 3938) comprising a Differential Mobility Analyzer (DMA, TSI 3081L) and a Condensation Particle Counter (CPC, TSI 3772).
Non-Refractory PM1 Chemical Composition: Mass concentrations of organic matter (Org), nitrate (NO₃⁻), sulfate (SO₄²⁻), and ammonium (NH₄⁺) were quantified using a High-Resolution Time-of-Flight Aerosol Mass Spectrometer (HR-ToF-AMS, Aerodyne).

2019 Campaign:
Aerosol Size Distribution: Particle size distributions in the range of 11.3–532.8 nm were obtained using an SMPS system identical to the 2014 setup. The data have been corrected for multiple charging and diffusion losses.
Aerosol Hygroscopicity: Hygroscopic growth factors at 90% relative humidity were measured for particles with selected dry diameters (40, 80, 110, 150, and 200 nm) using a Hygroscopicity Tandem Differential Mobility Analyzer (H-TDMA).
Non-Refractory PM2.5 Chemical Composition: Mass concentrations of Org, NO₃⁻, SO₄²⁻, NH₄⁺, and chloride (Chl) were measured with a Quadrupole Aerosol Chemical Speciation Monitor (Q-ACSM).
Black Carbon Mass Concentration: Continuous monitoring was performed using an aethalometer (AE33, Magee Scientific).
Meteorological Data (Both Campaigns):
Wind Speed and Wind Direction data were recorded synchronously, typically at matching high-time-resolution intervals, providing essential context for atmospheric process analysis.
These two comprehensive field investigations at two adjacent sites during two different time periods. One was from 6th to 24th of November in 2019, at the Guangzhou Meteorological Bureau in Panyu, Guangzhou, China (23.01 ° N, 113.32 ° E), and the other was from November 22nd, 2014 to December 31st in 2014, at the Chinese Meteorological Administration (CMA) Atmospheric Watch Network (CAWNET) station in Panyu, Guangzhou, China (23.00 ° N, 133.21 ° E).
DOI: 10.23729/fd-ef2ad45b-2e5b-3886-ab90-d8dab7fb13fb
title: Original data for "Zero echo time MB-SWIFT fMRI in rat spinal cord during hind paw stimulation - correlation with electrical activity"

description: This repository contains the data for the manuscript: "Zero echo time MB-SWIFT fMRI in rat spinal cord during hind paw stimulation - correlation with electrical activity"

The folder “data” contains the preprocessed files for the rats included for the final analyses. The folder "target" contains the anatomical and functional images of the target spinal cord and their masks. The folder “stimulus” contains text files with information about the stimulation timings (onset, duration) presented in seconds.

For further inquiries please contact:
petteri.stenroos@uef.fi
DOI: 10.15468/dl.m8wvxy
title: Occurrence Download

description: A dataset containing 507 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eudontomyzon mariae"
 ]
}

 The dataset includes 507 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005144-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.