cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15383307
title: The New Pope: Data Science Analysis of the 2025 Papal Conclave

description: "The New Pope" is an independent data science initiative that employs social network analysis and statistical modeling to examine the 2025 papal conclave. Utilizing open-source tools such as R, Gephi, and GitHub Pages, the project analyzes the relationships and dynamics among cardinals, betting odds, and historical church data to provide insights into the conclave's proceedings and outcomes: the-new-pope.org

Key Components of the data set:



Conclave Network Analysis: Visualizes and analyzes the connections between cardinals participating in the 2025 conclave.

Consecration Network Construction: Explores the historical relationships and consecration events among bishops to understand influence patterns.

Global Bishop Network and Cocnlave Network: Maps the broader network of bishops to contextualize the conclave's participants within the global church hierarchy.

Reproducible Research: Provides a comprehensive scientific use file containing all code, documentation, and data to ensure transparency and facilitate further research.

Scraping date: was the 6. May 2025

Network files: As additional files (which are produced for the scrapte date you find g_conclave.graphml and g_bishops_network.graphml, compatible with gephi)


Significance:This project offers a novel, data-driven perspective on the papal conclave, moving beyond traditional analyses to uncover underlying patterns and relationships. By making the data and methodologies publicly available, it contributes to the growing field of reproducible research in religious studies and political science.
DOI: 10.5281/zenodo.15383306
title: The New Pope: Data Science Analysis of the 2025 Papal Conclave

description: "The New Pope" is an independent data science initiative that employs social network analysis and statistical modeling to examine the 2025 papal conclave. Utilizing open-source tools such as R, Gephi, and GitHub Pages, the project analyzes the relationships and dynamics among cardinals, betting odds, and historical church data to provide insights into the conclave's proceedings and outcomes: the-new-pope.org

Key Components of the data set:



Conclave Network Analysis: Visualizes and analyzes the connections between cardinals participating in the 2025 conclave.

Consecration Network Construction: Explores the historical relationships and consecration events among bishops to understand influence patterns.

Global Bishop Network and Cocnlave Network: Maps the broader network of bishops to contextualize the conclave's participants within the global church hierarchy.

Reproducible Research: Provides a comprehensive scientific use file containing all code, documentation, and data to ensure transparency and facilitate further research.

Scraping date: was the 6. May 2025

Network files: As additional files (which are produced for the scrapte date you find g_conclave.graphml and g_bishops_network.graphml, compatible with gephi)


Significance:This project offers a novel, data-driven perspective on the papal conclave, moving beyond traditional analyses to uncover underlying patterns and relationships. By making the data and methodologies publicly available, it contributes to the growing field of reproducible research in religious studies and political science.
DOI: 10.6084/m9.figshare.29042216
title: Watts supplementary data.docx

description: Linear measurements of Macropod pedal elements and second moment of area data for metatarsal-IV and V.
DOI: 10.15468/dl.jc265q
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anopheles darlingi Root, 1926",
 "Country is Peru",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026748-250426092105405/datasets/export for details.
DOI: 10.21233/z0pz-6530
title: Gouvets La Bruyère pollen dataset

description: Raw data for the Gouvets La Bruyère pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.6084/m9.figshare.28929579
title: A Bayesian belief network approach to bridge infrastructure resilience assessment against seismic hazard

description: Like other infrastructure, bridges are seriously affected by natural hazards like earthquakes, floods, and hurricanes, significantly affecting communities, transportation networks, and economic development. Hence, it is essential to assess the resilience of the bridge infrastructure. This study introduces the Bayesian Belief Network (BBN) model as a strategy for assessing the seismic resilience of bridges. The BBN model is developed based on the existing literature, multiple expert opinions, and the Bayesian network approach. This method minimizes the need for a large amount of historical data. The BBN model is credible in effectively addressing complex relationships among the parameters and uncertainties associated with seismic resilience through conditional probability tables (CPTs). Enhancing the study’s analytical integrity involves conducting sensitivity, scenario, and extreme condition tests, as well as applying the model to two bridge examples. The outcome of the model analysis provides a more accurate evaluation of the bridge and improves the evaluation of bridge seismic resilience. This resilience assessment of bridge infrastructure aids policymakers, engineers, and stakeholders in constructing enduring transportation networks.
DOI: 10.6084/m9.figshare.28929579.v1
title: A Bayesian belief network approach to bridge infrastructure resilience assessment against seismic hazard

description: Like other infrastructure, bridges are seriously affected by natural hazards like earthquakes, floods, and hurricanes, significantly affecting communities, transportation networks, and economic development. Hence, it is essential to assess the resilience of the bridge infrastructure. This study introduces the Bayesian Belief Network (BBN) model as a strategy for assessing the seismic resilience of bridges. The BBN model is developed based on the existing literature, multiple expert opinions, and the Bayesian network approach. This method minimizes the need for a large amount of historical data. The BBN model is credible in effectively addressing complex relationships among the parameters and uncertainties associated with seismic resilience through conditional probability tables (CPTs). Enhancing the study’s analytical integrity involves conducting sensitivity, scenario, and extreme condition tests, as well as applying the model to two bridge examples. The outcome of the model analysis provides a more accurate evaluation of the bridge and improves the evaluation of bridge seismic resilience. This resilience assessment of bridge infrastructure aids policymakers, engineers, and stakeholders in constructing enduring transportation networks.
DOI: 10.21233/g0bh-px06
title: Allen site [25FT50] vertebrate fauna dataset

description: Raw data for the Allen site [25FT50] vertebrate fauna dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.6084/m9.figshare.27094006
title: Network-level optimisation approach for bridge interventions scheduling

description: This paper introduces a novel extension of the multi-system optimisation method, known as the 3C concept, tailored for optimising budget allocation for bridge interventions at the network level. This extended methodology accounts for the interdependencies among bridges due to their spatial proximity within the network. It incorporates direct and user costs, bridge performance indicators, and a bridge deterioration model. A real-world case study involving a portfolio of 555 bridges demonstrates the practicality of the methodology, efficiently determining the optimal intervention sequence. Over an 18-year analysis period, the proposed methodology achieved a 23% reduction in total costs by combining repairs for bridges with high to severe damage and maintenance for the others. This represents a significant improvement compared to the traditional approach, used by bridge management agencies, which relies exclusively on maintenance. The optimised procedure outperforms human intuition in managing complex bridge networks, particularly over extended periods. This methodology can assist transportation agencies in implementing and exploring various scenarios by adjusting the time between consecutive interventions and budget constraints, supporting comprehensive analysis and informed decision-making.
DOI: 10.6084/m9.figshare.27094006.v1
title: Network-level optimisation approach for bridge interventions scheduling

description: This paper introduces a novel extension of the multi-system optimisation method, known as the 3C concept, tailored for optimising budget allocation for bridge interventions at the network level. This extended methodology accounts for the interdependencies among bridges due to their spatial proximity within the network. It incorporates direct and user costs, bridge performance indicators, and a bridge deterioration model. A real-world case study involving a portfolio of 555 bridges demonstrates the practicality of the methodology, efficiently determining the optimal intervention sequence. Over an 18-year analysis period, the proposed methodology achieved a 23% reduction in total costs by combining repairs for bridges with high to severe damage and maintenance for the others. This represents a significant improvement compared to the traditional approach, used by bridge management agencies, which relies exclusively on maintenance. The optimised procedure outperforms human intuition in managing complex bridge networks, particularly over extended periods. This methodology can assist transportation agencies in implementing and exploring various scenarios by adjusting the time between consecutive interventions and budget constraints, supporting comprehensive analysis and informed decision-making.
DOI: 10.6084/m9.figshare.27693416
title: Service-life multi-hazard risk assessment of structures: framework and application

description: Fragility and risk assessment of civil engineering structures against various design loads and their combinations need to be conducted to evaluate structural vulnerability. This is typically done at the design stage. However, during the service (design) life, it is important to investigate the change (increase) in the risk posed to the structure on account of multiple hazards. This article discusses a holistic novel framework that considers aging effects in addition to major or minor structural damage resulting from independent hazards. The framework is illustrated for independent action of earthquake and fire hazards on reinforced concrete (RC) buildings with varied occupancies while considering continuous structural deterioration on account of chloride- and carbonation-induced corrosion over a building’s service life. The change in the structure’s performance in the fire over its service life, in terms of incident risk and the resistance period, is evaluated for a combination of environmental effects and multi-hazard effects of earthquake and fire. The results from this study indicate that there is a significant increase in the risk of post-earthquake fire if continuous structural degradation due to environmental factors and minor damage due to earthquakes is not addressed.
DOI: 10.6084/m9.figshare.27693416.v1
title: Service-life multi-hazard risk assessment of structures: framework and application

description: Fragility and risk assessment of civil engineering structures against various design loads and their combinations need to be conducted to evaluate structural vulnerability. This is typically done at the design stage. However, during the service (design) life, it is important to investigate the change (increase) in the risk posed to the structure on account of multiple hazards. This article discusses a holistic novel framework that considers aging effects in addition to major or minor structural damage resulting from independent hazards. The framework is illustrated for independent action of earthquake and fire hazards on reinforced concrete (RC) buildings with varied occupancies while considering continuous structural deterioration on account of chloride- and carbonation-induced corrosion over a building’s service life. The change in the structure’s performance in the fire over its service life, in terms of incident risk and the resistance period, is evaluated for a combination of environmental effects and multi-hazard effects of earthquake and fire. The results from this study indicate that there is a significant increase in the risk of post-earthquake fire if continuous structural degradation due to environmental factors and minor damage due to earthquakes is not addressed.
DOI: 10.5281/zenodo.15383899
title: HSV1 A549 SMLM

description: This dataset accompanies the publication "Herpes simplex virus type 1 reshapes host chromatin architecture via transcription machinery hijacking" by Gonzalez-Almela et al. To investigate how Herpes simplex virus type 1 (HSV-1) dramatically alters host nuclear structure during infection, we employed Super Resolution Microscopy. Human cells (A549) were infected with HSV-1, and the distribution of host/viral DNA and proteins was analyzed at 1, 3, and 8 hours post-infection.

The following datasets contain representative Single Molecule Localization Microscopy (SMLM) images from Gonzalez-Almela et al. work. Each folder is labeled according to the molecular label used in the experiment, and includes results corresponding to the different conditions and time points described in the study.
DOI: 10.5281/zenodo.15383900
title: HSV1 A549 SMLM

description: This dataset accompanies the publication "Herpes simplex virus type 1 reshapes host chromatin architecture via transcription machinery hijacking" by Gonzalez-Almela et al. To investigate how Herpes simplex virus type 1 (HSV-1) dramatically alters host nuclear structure during infection, we employed Super Resolution Microscopy. Human cells (A549) were infected with HSV-1, and the distribution of host/viral DNA and proteins was analyzed at 1, 3, and 8 hours post-infection.

The following datasets contain representative Single Molecule Localization Microscopy (SMLM) images from Gonzalez-Almela et al. work. Each folder is labeled according to the molecular label used in the experiment, and includes results corresponding to the different conditions and time points described in the study.
DOI: 10.21233/8ym4-xd28
title: Deep Lake water chemistry dataset

description: Raw data for the Deep Lake water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.6084/m9.figshare.28080599
title: Road maintenance optimization using a probabilistic approach calibrated with 15-year monitoring data

description: Efficiently maintained transportation infrastructure system dictates the hallmark of a well- functioning economy. However, road degradation is often unpredictable and demands frequent and costly maintenance activities. Despite substantial annual investments, practitioners struggle to adopt the optimum maintenance strategy due to a lack of knowledge on cost over socio-economic benefit. Therefore, this study proposes an optimum pavement intervention strategy by analyzing the wealth of monitoring data collected over 15 years (2006–2021) using a probabilistic pavement degradation framework based on roughness [International roughness index (IRI)]. The distribution of the IRI values is evaluated based on road clusters categorized by location, road use type, and pavement maintenance categories (PMC). One-way ANOVA is used to identify patterns of IRI influenced by external factors like rainfall, terrain type, and drainage condition and the results emphasize the significance of external factors in road pavement IRI variation. The calibrated discrete state Markov models are used to predict road conditions including associated costs and offer a detailed comparison of available intervention options aiding intervention prioritization. The study suggests that prioritizing the worst sections may not yield the best cost-benefit ratio; instead, maintaining all sections fairly is more cost-effective. These findings can be used in pavement management systems to rank intervention options based on cost and benefit.
DOI: 10.6084/m9.figshare.28080599.v1
title: Road maintenance optimization using a probabilistic approach calibrated with 15-year monitoring data

description: Efficiently maintained transportation infrastructure system dictates the hallmark of a well- functioning economy. However, road degradation is often unpredictable and demands frequent and costly maintenance activities. Despite substantial annual investments, practitioners struggle to adopt the optimum maintenance strategy due to a lack of knowledge on cost over socio-economic benefit. Therefore, this study proposes an optimum pavement intervention strategy by analyzing the wealth of monitoring data collected over 15 years (2006–2021) using a probabilistic pavement degradation framework based on roughness [International roughness index (IRI)]. The distribution of the IRI values is evaluated based on road clusters categorized by location, road use type, and pavement maintenance categories (PMC). One-way ANOVA is used to identify patterns of IRI influenced by external factors like rainfall, terrain type, and drainage condition and the results emphasize the significance of external factors in road pavement IRI variation. The calibrated discrete state Markov models are used to predict road conditions including associated costs and offer a detailed comparison of available intervention options aiding intervention prioritization. The study suggests that prioritizing the worst sections may not yield the best cost-benefit ratio; instead, maintaining all sections fairly is more cost-effective. These findings can be used in pavement management systems to rank intervention options based on cost and benefit.
DOI: 10.21233/wyaf-0g19
title: Nanwenghe testate amoebae surface sample dataset

description: Raw data for the Nanwenghe testate amoebae surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.qr7nbb
title: Occurrence Download

description: A dataset containing 461 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Eriosyce castanea (F.Ritter) P.C.Guerrero & Helmut Walter, Eriosyce clavata (Söhrens ex K.Schum.) Helmut Walter, Eriosyce eriosyzoides (F.Ritter) Ferryman, Eriosyce sociabilis (F.Ritter) Katt., Eriosyce villosa (Monv.) Katt.)"
 ]
}

 The dataset includes 461 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026749-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/5knz-3n09
title: Bay of Quinte/Muscote Bay water chemistry dataset

description: Raw data for the Bay of Quinte/Muscote Bay water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/21p7-bz64
title: Alfred Bog testate amoebae surface sample dataset

description: Raw data for the Alfred Bog testate amoebae surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/fxym-3b53
title: ONTSU 88 pollen surface sample dataset

description: Raw data for the ONTSU 88 pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/vwpz-hd71
title: Mamontovy Khayata pollen dataset

description: Raw data for the Mamontovy Khayata pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/0dcv-pc04
title: Kogyae Plot 1 (Forest plot) pollen surface sample dataset

description: Raw data for the Kogyae Plot 1 (Forest plot) pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/9gxd-bp45
title: C015 (Wilson et al. 1994) diatom surface sample dataset

description: Raw data for the C015 (Wilson et al. 1994) diatom surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/tq8x-5z45
title: Na bahně pollen dataset

description: Raw data for the Na bahně pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/pppv-hs82
title: LDDsite2545 ostracode surface sample dataset

description: Raw data for the LDDsite2545 ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/m6tt-c806
title: Cherry Spring ostracode surface sample dataset

description: Raw data for the Cherry Spring ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.