cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/dwfthtrbv7.1
title: A Bibliometric Analysis of Research on Myofascial Pain Trigger Points

description: The data for bibliometric analysis was sourced from the Web of Science Core Collection (WoSSC). The search was conducted on February 12, 2025, using the following search string: TS= (“myofascia” OR “fascia” OR “muscle fascia” OR “myofascial pain”) AND (“trigger points” OR “pain points” OR “sensitive points” OR “myofascial trigger points”). A total of 978 articles were retrieved. Article type was limited to "article," and other types were excluded. Only English-language articles were included. Data were manually screened for authenticity and reliability, with two researchers independently conducting the screening. In case of discrepancies, a third researcher was consulted for consensus. After manual screening, 699 articles were retained for analysis. Data retrieval and downloading were performed on the same day to minimize biases caused by daily database updates. The complete records were downloaded in file formats including plain text, BibTex, Tab delimited file, and Excel for further analysis.The retrieved data were imported into Citespace (version 6.2.R7 Advanced), VOSviewer (version 1.6.20), R (version 4.4.1) with the bibliometrix package, KH Coder (3b07d), Word Cloud Maker (https://wordart.com/), and Edraw Soft Online (https://mm.edrawsoft.cn/app/create) for analysis and visualization.
VOSviewer was used to visualize co-authorship, co-occurrence, and co-citation networks, which are useful for understanding the collaboration and relationships among authors, institutions, and countries. Different nodes represent authors, countries, institutions, journals, and keywords, with node size corresponding to citation or co-citation frequency. Edges between nodes indicate collaboration or co-occurrence. The color of nodes and edges reflects clusters or the associated year.
CiteSpace, a tool designed for the visualization and analysis of scientific literature networks, was employed to visualize keyword co-occurrence networks and detect emerging research trends through co-citation burst detection. We used CiteSpace to perform keyword and reference clustering analysis, as well as temporal distribution, to identify the evolution of research dynamics in this field.
Topic modeling, a technique from natural language processing (NLP), was used to discover potential themes in the literature. Latent Dirichlet Allocation (LDA) is a popular method for topic modeling that can effectively handle large amounts of unstructured text data. By analyzing word frequency co-occurrences within documents, LDA calculates the relevance of each article to a particular theme. The number of topics was determined using various criteria, such as cosine distance, Kullback-Leibler divergence, and model coherence.
DOI: 10.23729/fd-e7e416a7-9239-3eba-b1f5-4bf366461080
title: AIM-ZERO preview

description: 3D printed titanium specimen printed on EOS M290 featured in Akmal, J., Minet-Lallemand, K., Kuva, J., Syvänen, T., Ylander, P., Puttonen, T., Björkstrand, R., Partanen, J., Nyrhilä, O, Salmi, M. AI-based defect detection and self-healing in metal additive manufacturing, 2025. Virtual and Physical Prototyping 20, e2500671 https://doi.org/10.1080/17452759.2025.2500671. 

Preview of PAS-dataset: https://doi.org/10.23729/fd-df596894-813f-3fa2-98ac-89230f70bf6f
DOI: 10.17632/4pk23z3n98.2
title: Rapid and simultaneous quantification of viable Lactobacillus and Streptococcus thermophilus cells in yoghurt by flow cytometry combined with novel oligonucleotide probes

description: Supporting information
DOI: 10.15468/dl.zf4c2t
title: Occurrence Download

description: A dataset listing the 212 species recorded in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "OccurrenceStatus is Present",
 "TaxonKey is Archaea"
 ]
}

 The dataset's 212 records were derived from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007342-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/st6rgdh7w6
title: Antimony Uptake by Iron(III) (Oxyhydr)oxide Nanoparticles: Roles of Particle Size and Ni(II) Co-Sorption

description: This dataset contains data associated with the manuscript "Antimony Uptake by Iron(III) (Oxyhydr)oxide Nanoparticles: Roles of Particle Size and Ni(II) Co-Sorption".
DOI: 10.17632/st6rgdh7w6.1
title: Antimony Uptake by Iron(III) (Oxyhydr)oxide Nanoparticles: Roles of Particle Size and Ni(II) Co-Sorption

description: This dataset contains data associated with the manuscript "Antimony Uptake by Iron(III) (Oxyhydr)oxide Nanoparticles: Roles of Particle Size and Ni(II) Co-Sorption".
DOI: 10.17632/ydn9gzxtr6
title: The dataset for "Multifaceted effects of galU deletion on phenotype and virulence of Pseudomonas aeruginosa in vitro and in vivo"

description: This dataset includes raw data and raw figures from the manuscript "Multifaceted effects of galU deletion on phenotype and virulence of Pseudomonas aeruginosa in vitro and in vivo."
DOI: 10.17632/ydn9gzxtr6.5
title: The dataset for "Multifaceted effects of galU deletion on phenotype and virulence of Pseudomonas aeruginosa in vitro and in vivo"

description: This dataset includes raw data and raw figures from the manuscript "Multifaceted effects of galU deletion on phenotype and virulence of Pseudomonas aeruginosa in vitro and in vivo."
DOI: 10.17632/yjrgr2xkbf
title: Relugolix and sexual function

description: Databade on analysis on sexual function in patients treated with relugolix+abt for fibroids
DOI: 10.15468/dl.cug7vk
title: Occurrence Download

description: A dataset containing 15709 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Sweden",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Saccharina latissima, Laminaria digitata, Laminaria hyperborea)"
 ]
}

 The dataset includes 15709 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007360-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/yjrgr2xkbf.2
title: Relugolix and sexual function

description: Databade on analysis on sexual function in patients treated with relugolix+abt for fibroids
DOI: 10.17632/mrkxp8mprd
title: U.S. Equity Risk Premium Forecasting Dataset (1990–2024): Implied ERP, Realized Returns, and Macro-Financial Predictors

description: This dataset contains a comprehensive quarterly panel of U.S. equity risk premium measures and macro-financial predictors covering the period 1990Q1–2024Q4. It was constructed to support the analysis in “Structural Shifts in the Forecasting Dynamics of the U.S. Equity Risk Premium: A Regime-Switching and Structural Break Approach, 1990–2024.”

The dataset includes two principal dependent variables:
(1) Implied Equity Risk Premium (ERP_implied) based on Damodaran’s monthly U.S. ERP estimates, sampled at quarter end;
(2) Realized 1-Year Equity Risk Premium (ERP_realized_1y) computed as the difference between S&P 500 total returns and 3-month Treasury bill returns over a four-quarter horizon.

It also provides the key macro-financial predictors widely used in the forecasting literature, including:
– Valuation ratios: Earnings-Price (EP_ratio), Dividend-Price (DP_ratio)
– Interest-rate variables: 3-month Treasury bill rate, 10-year Treasury yield, term spread, and Moody’s Baa–Treasury credit spread
– Macroeconomic indicators: Real GDP growth, CPI inflation, unemployment rate, and the federal funds rate
– Risk and uncertainty indicators: VIX volatility index and the U.S. Economic Policy Uncertainty (EPU) index
– Realized volatility: Annualized standard deviation of monthly S&P 500 total returns over the prior 12 months.

All variables are aligned to quarterly frequency (end-of-quarter levels for stock-market and ERP series; quarterly averages for flow-type indicators such as VIX, EPU, and macroeconomic rates). The dataset is cleaned, merged, and structured to allow direct replication of forecasting regressions, Bai–Perron structural break tests, and two-state Markov-switching models.

This dataset supports empirical research on the time variation, structural instability, and regime dependence of the U.S. equity risk premium. It may be used for forecasting studies, return predictability analysis, macro-financial modeling, and teaching applications in asset pricing and financial economics.
DOI: 10.17632/mrkxp8mprd.1
title: U.S. Equity Risk Premium Forecasting Dataset (1990–2024): Implied ERP, Realized Returns, and Macro-Financial Predictors

description: This dataset contains a comprehensive quarterly panel of U.S. equity risk premium measures and macro-financial predictors covering the period 1990Q1–2024Q4. It was constructed to support the analysis in “Structural Shifts in the Forecasting Dynamics of the U.S. Equity Risk Premium: A Regime-Switching and Structural Break Approach, 1990–2024.”

The dataset includes two principal dependent variables:
(1) Implied Equity Risk Premium (ERP_implied) based on Damodaran’s monthly U.S. ERP estimates, sampled at quarter end;
(2) Realized 1-Year Equity Risk Premium (ERP_realized_1y) computed as the difference between S&P 500 total returns and 3-month Treasury bill returns over a four-quarter horizon.

It also provides the key macro-financial predictors widely used in the forecasting literature, including:
– Valuation ratios: Earnings-Price (EP_ratio), Dividend-Price (DP_ratio)
– Interest-rate variables: 3-month Treasury bill rate, 10-year Treasury yield, term spread, and Moody’s Baa–Treasury credit spread
– Macroeconomic indicators: Real GDP growth, CPI inflation, unemployment rate, and the federal funds rate
– Risk and uncertainty indicators: VIX volatility index and the U.S. Economic Policy Uncertainty (EPU) index
– Realized volatility: Annualized standard deviation of monthly S&P 500 total returns over the prior 12 months.

All variables are aligned to quarterly frequency (end-of-quarter levels for stock-market and ERP series; quarterly averages for flow-type indicators such as VIX, EPU, and macroeconomic rates). The dataset is cleaned, merged, and structured to allow direct replication of forecasting regressions, Bai–Perron structural break tests, and two-state Markov-switching models.

This dataset supports empirical research on the time variation, structural instability, and regime dependence of the U.S. equity risk premium. It may be used for forecasting studies, return predictability analysis, macro-financial modeling, and teaching applications in asset pricing and financial economics.
DOI: 10.17632/r3cgmsr8kp
title: Original Data

description: This study presents a hydrological process simulation model constructed specifically for the Loess Plateau of China, with a focus on accurately simulating surface evapotranspiration under complex topography and changing underlying surface conditions.
DOI: 10.17632/r3cgmsr8kp.1
title: Original Data

description: This study presents a hydrological process simulation model constructed specifically for the Loess Plateau of China, with a focus on accurately simulating surface evapotranspiration under complex topography and changing underlying surface conditions.
DOI: 10.15468/dl.z2nucx
title: Occurrence Download

description: A dataset containing 175 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Naemorhedus goral"
 ]
}

 The dataset includes 175 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007361-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/h3732b29pp.1
title: Antimony partitioning during microbial reduction of nanoscale iron(III) (oxyhydr)oxides

description: This dataset contains data associated with the manuscript "Antimony partitioning during microbial reduction of nanoscale iron(III) (oxyhydr)oxides".
DOI: 10.17632/h5t39dkxf2.1
title: Dataset for Situated visualization towards manufacturing maintenance training: Scoping review, design and user study

description: Dataset collected and analyzed in the Elsevier Computers & Graphics paper "Situated visualization towards manufacturing maintenance training: Scoping review, design and user study".
https://doi.org/10.1016/j.cag.2025.104500
DOI: 10.17632/d8fn3yrgrb
title: Over half of N₂O emitted via ebullitions in shallow eutrophic lake

description: This dataset includes N₂O concentration data, total flux, diffusive flux, ebullitive flux, and corresponding water quality data from Ulansuhai Lake a shallow eutrophic lake. The Sampling campaigns were conducted in May, June, July, August, September and October 2021 form seven sites.
DOI: 10.17632/d8fn3yrgrb.1
title: Over half of N₂O emitted via ebullitions in shallow eutrophic lake

description: This dataset includes N₂O concentration data, total flux, diffusive flux, ebullitive flux, and corresponding water quality data from Ulansuhai Lake a shallow eutrophic lake. The Sampling campaigns were conducted in May, June, July, August, September and October 2021 form seven sites.
DOI: 10.17632/877msj688h
title: Georeferenced database of Medieval military and religious sites in Southern Italy - ver 1.0

description: This database, created by Marco Casazza and Fabrizio Barone, contains the georeferenced positions of fortifications and religious sites in Southern Italy. This version 1.0 includes the current administrative areas belonging to the provinces of Salerno and Avellino (Campania region) and Potenza (Basilicata region). The interest is focused to sites ranging from the Late antique settlements up to the Longobard and Norman epoch. 
The original sites list is derived from the website Mondi Medioevali (https://www.mondimedievali.net/CASTELLI/index.htm), edited by Raffaele Licinio. However, no text, figure or material, is taken from the website. Instead, the site was used as a data source for an initial list of sites and verified by the authors in the field. 
The initial list of churches and religious sites of Avellino province was derived from the website Sistema Irpinia (https://sistemairpinia.provincia.avellino.it/it/luoghi-della-cultura/complessi-religiosi). The list was integrated with the official database of the Italian Catholic Episcopal Conference (CEI) (https://beweb.chiesacattolica.it/edificidiculto/).

References
Conferenza Episcopale Italiana (CEI). 2024. ‘Architectural Heritage’. BeWeb. 2024. https://beweb.chiesacattolica.it/edificidiculto/
Licinio, R., and F. Giaffreda. 2017. ‘Italian Castles’. Mondi Medioevali. 2017. https://www.mondimedievali.net/Castelli/index.htm.
DOI: 10.17632/877msj688h.1
title: Georeferenced database of Medieval military and religious sites in Southern Italy - ver 1.0

description: This database, created by Marco Casazza and Fabrizio Barone, contains the georeferenced positions of fortifications and religious sites in Southern Italy. This version 1.0 includes the current administrative areas belonging to the provinces of Salerno and Avellino (Campania region) and Potenza (Basilicata region). The interest is focused to sites ranging from the Late antique settlements up to the Longobard and Norman epoch. 
The original sites list is derived from the website Mondi Medioevali (https://www.mondimedievali.net/CASTELLI/index.htm), edited by Raffaele Licinio. However, no text, figure or material, is taken from the website. Instead, the site was used as a data source for an initial list of sites and verified by the authors in the field. 
The initial list of churches and religious sites of Avellino province was derived from the website Sistema Irpinia (https://sistemairpinia.provincia.avellino.it/it/luoghi-della-cultura/complessi-religiosi). The list was integrated with the official database of the Italian Catholic Episcopal Conference (CEI) (https://beweb.chiesacattolica.it/edificidiculto/).

References
Conferenza Episcopale Italiana (CEI). 2024. ‘Architectural Heritage’. BeWeb. 2024. https://beweb.chiesacattolica.it/edificidiculto/
Licinio, R., and F. Giaffreda. 2017. ‘Italian Castles’. Mondi Medioevali. 2017. https://www.mondimedievali.net/Castelli/index.htm.
DOI: 10.17632/h675frfmsb
title: "How different are 2D and 3D in vitro model for investigating the mechanism of action of bioactive compounds? The case of phytocannabinoid CBDA"_3D pulsedSILAC

description: The title of the paper is the following: "How different are 2D and 3D in vitro model for investigating the mechanism of action of
bioactive compounds? The case of phytocannabinoid CBDA". 
The scope of the present work concerned the investigation of the CBDA-EIF2A interaction in 3D-U87MG cell model. 
For pulsedSILAC, U87MG cells were cultured in 3D-cell model in presence or not of CBDA. Subsequently, protein mixture was obtained and click chemistry reaction was carried out. Then, enzymatic digestion with trypsin and peptide clean-up were performed and the samples underwent to LC-MS/MS analysis. 
Raw files obtained from Orbitrap fusion mass spectrometer were processed with Proteome Discoverer software. Fasta file UP000005640_9606 was set as protein database. The maximum number of missed cleavages was set to 2. Unique peptides were set for quantification. Quantitative analysis was set as ratio Heavy/Medium.
DOI: 10.17632/h675frfmsb.1
title: "How different are 2D and 3D in vitro model for investigating the mechanism of action of bioactive compounds? The case of phytocannabinoid CBDA"_3D pulsedSILAC

description: The title of the paper is the following: "How different are 2D and 3D in vitro model for investigating the mechanism of action of
bioactive compounds? The case of phytocannabinoid CBDA". 
The scope of the present work concerned the investigation of the CBDA-EIF2A interaction in 3D-U87MG cell model. 
For pulsedSILAC, U87MG cells were cultured in 3D-cell model in presence or not of CBDA. Subsequently, protein mixture was obtained and click chemistry reaction was carried out. Then, enzymatic digestion with trypsin and peptide clean-up were performed and the samples underwent to LC-MS/MS analysis. 
Raw files obtained from Orbitrap fusion mass spectrometer were processed with Proteome Discoverer software. Fasta file UP000005640_9606 was set as protein database. The maximum number of missed cleavages was set to 2. Unique peptides were set for quantification. Quantitative analysis was set as ratio Heavy/Medium.
DOI: 10.17632/szjgngmr8g
title: survey_data

description: The basic data analysis in the manuscript is to realize the chi-square analysis and principal component analysis through the data.
DOI: 10.17632/szjgngmr8g.1
title: survey_data

description: The basic data analysis in the manuscript is to realize the chi-square analysis and principal component analysis through the data.
DOI: 10.15468/dl.r2wcjc
title: Occurrence Download

description: A dataset containing 12740 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Belgium",
 "TaxonKey is Procyon lotor"
 ]
}

 The dataset includes 12740 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007362-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c44g4a
title: Occurrence Download

description: A dataset listing the 51638 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Poaceae"
 ]
}

 The dataset's 51638 records were derived from 8988 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007341-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ebtpn4
title: Occurrence Download

description: A dataset containing 1710 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Benin",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Loxodonta africana (Blumenbach, 1797)"
 ]
}

 The dataset includes 1710 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013776-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17660562
title: Policy and legislation for vacancy in Ireland, 1990-2025

description: A comprehensive inventory of Irish government policies and financial instruments addressing property vacancy and dereliction from 1990 to 2025, including classification of the vacancy types each initiative targets.

This dataset was compiled as part of an academic research project based in University College Dublin. You can find more information on the project here. The policy analysis drew on policy documents, legislation, reports, academic literature and interviews with experts.

The entries are organised chronologically.
DOI: 10.5281/zenodo.17660563
title: Policy and legislation for vacancy in Ireland, 1990-2025

description: A comprehensive inventory of Irish government policies and financial instruments addressing property vacancy and dereliction from 1990 to 2025, including classification of the vacancy types each initiative targets.

This dataset was compiled as part of an academic research project based in University College Dublin. You can find more information on the project here. The policy analysis drew on policy documents, legislation, reports, academic literature and interviews with experts.

The entries are organised chronologically.
DOI: 10.5281/zenodo.17656023
title: CA_DEL_database

description: CA_DEL_database
DOI: 10.5281/zenodo.17656024
title: CA_DEL_database

description: CA_DEL_database
DOI: 10.5281/zenodo.8071741
title: Users' privacy awareness survey (2019-2020), total results

description: In this survey, we inspected how aware people were of their online privacy and calculated their privacy awareness scores.

 

privacy_awareness_questionnaire.pdf

    It is the Privacy Awareness survey questionnaire.

 

calculating_privacy_awareness_scores_method.pdf

    It describes the method of calculating privacy awareness scores.

 

raw_data.csv

    It contains the raw data set collected from the respondents. The first row contains the labels of questions from 1 to 15.

 

filtered_out_data.csv

    It contains filtered-out data set and the calculated awareness scores. The first row contains the labels of questions from 1 to 15 and the awareness score. We applied the following erasure conditions on the raw data set:

        Q2 = A2 AND Q3 = A1

        Q2 = A2 AND Q3 = A2

        Q6 = A1 AND Q7 = A2

        Q6 = A1 AND Q9 = A2
DOI: 10.5281/zenodo.8071742
title: Users' privacy awareness survey (2019-2020), total results

description: In this survey, we inspected how aware people were of their online privacy and calculated their privacy awareness scores.

 

privacy_awareness_questionnaire.pdf

    It is the Privacy Awareness survey questionnaire.

 

calculating_privacy_awareness_scores_method.pdf

    It describes the method of calculating privacy awareness scores.

 

raw_data.csv

    It contains the raw data set collected from the respondents. The first row contains the labels of questions from 1 to 15.

 

filtered_out_data.csv

    It contains filtered-out data set and the calculated awareness scores. The first row contains the labels of questions from 1 to 15 and the awareness score. We applied the following erasure conditions on the raw data set:

        Q2 = A2 AND Q3 = A1

        Q2 = A2 AND Q3 = A2

        Q6 = A1 AND Q7 = A2

        Q6 = A1 AND Q9 = A2