cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/rzjzb4bxz7.1
title: Using Sentiment Analysis to investigate Sandro Abruzzese's literary works

description: The dataset was created to support a comparative geo-affective analysis of Sandro Abruzzese’s literary works, with a focus on Casa per casa and Niente da vedere. Starting from digitized and normalized texts (typographic cleaning, diacritic and punctuation harmonization, and segmentation), place names (toponyms) were extracted and their occurrences were counted by work and in the aggregated corpus (ALL). Each toponym was then enriched with geographic information (latitude/longitude coordinates, when available) and with a semantic–affective profile computed through SenticNet, including polarity and the Hourglass dimensions (attitude, introspection, sensitivity, temper). In parallel, toponyms were embedded in AffectiveSpace and summarized via Principal Component Analysis (PCA) to obtain a compact 2D representation (PC1–PC2) suitable for cross-text comparison. Finally, clustering was performed on the geo-affective feature set (k = 5), generating cluster labels and interpretable descriptors for each group. The resulting dataset is delivered in a tabular format (CSV), ready for statistical exploration, visualization, and GIS integration.
DOI: 10.17632/dpfps7bp3r
title: An experimental study on bystander intervention in cyber violence on Chinese social media: The mediating role of perceived responsibility

description: This study investigated Chinese netizens’ intentions to intervene and influencing factors in CV through a 2 (CV severity: low vs. high) × 2 (social cues: low vs. high) × 2 (tone of users comments: non-aggressive vs. aggressive) between-subjects experiment (N = 405).
DOI: 10.17632/dpfps7bp3r.1
title: An experimental study on bystander intervention in cyber violence on Chinese social media: The mediating role of perceived responsibility

description: This study investigated Chinese netizens’ intentions to intervene and influencing factors in CV through a 2 (CV severity: low vs. high) × 2 (social cues: low vs. high) × 2 (tone of users comments: non-aggressive vs. aggressive) between-subjects experiment (N = 405).
DOI: 10.17632/85tsr8c2h8
title: A Study of Metabolic Profiling Reveals the Pyrimidine Synthesis Enzyme CAD as a Central Carbon Metabolism Signaling Node in Cancer Cell Proliferation. Chao Qin et al

description: Uncropped gel pictures
DOI: 10.17632/85tsr8c2h8.1
title: A Study of Metabolic Profiling Reveals the Pyrimidine Synthesis Enzyme CAD as a Central Carbon Metabolism Signaling Node in Cancer Cell Proliferation. Chao Qin et al

description: Uncropped gel pictures
DOI: 10.17632/zmnxgxnxws
title: data

description: Original Submission Files
DOI: 10.17632/zmnxgxnxws.1
title: data

description: Original Submission Files
DOI: 10.17632/nj9dg3tr6d
title: AFIS - A simulation framework for detection of aerosol fluorescence with integrating spheres

description: We present a new simulation framework for the detection of aerosol fluorescence with integration spheres. Utilizing a Monte Carlo based ray-tracing approach, aerosol fluorescence within integrating sphere setups is simulated from photon generation through laser excitation over interactions with the setup components to losses and finally detection. Through modular design, the position and number of openings, sensors, etc. can be freely configured. Therefore, potential experimental setups can be evaluated with regard to overall performance, bottlenecks can be identified and the impact of different component parameters determined.
DOI: 10.17632/nj9dg3tr6d.1
title: AFIS - A simulation framework for detection of aerosol fluorescence with integrating spheres

description: We present a new simulation framework for the detection of aerosol fluorescence with integration spheres. Utilizing a Monte Carlo based ray-tracing approach, aerosol fluorescence within integrating sphere setups is simulated from photon generation through laser excitation over interactions with the setup components to losses and finally detection. Through modular design, the position and number of openings, sensors, etc. can be freely configured. Therefore, potential experimental setups can be evaluated with regard to overall performance, bottlenecks can be identified and the impact of different component parameters determined.
DOI: 10.17632/5jb9ffpmvr
title: Algae bloom dataset

description: The dataset used in this study comprises remotely sensed satellite imagery and derived tabular features stored in CSV format, designed to support scalable prediction of Harmful Algal Bloom (HAB) severity across freshwater bodies in the continental United States. All data sources are publicly available, ensuring transparency, reproducibility, and broad applicability.

1. Image Dataset

The image component of the dataset consists of multispectral satellite imagery acquired from the Sentinel-2 mission, provided by the European Space Agency (ESA). Sentinel-2 offers high spatial resolution imagery suitable for inland water quality assessment.

Satellite platform: Sentinel-2A and Sentinel-2B

Spatial resolution: 10 m, 20 m, and 60 m (band-dependent; 10 m bands primarily used)

Spectral bands used:

Blue (B2)

Green (B3)

Red (B4)

Near-Infrared (B8)

Red-edge bands (B5, B6, B7)

Coverage: Freshwater bodies across the continental United States
Temporal characteristics: Cloud-filtered scenes corresponding to HAB observation periods
These images capture surface reflectance characteristics of water bodies, which are critical indicators of chlorophyll concentration, turbidity, and algal biomass associated with HAB events.
The CSV file serves as the integrated feature repository, combining spectral, topographical, and derived environmental attributes for machine learning modeling.

Each row in the CSV corresponds to a unique water body observation, with columns representing:

Spectral features:

Band reflectance values

Vegetation and water indices (e.g., NDVI-based and water-specific indices)

Terrain features:

Elevation, slope, and watershed characteristics

Geospatial metadata:

Latitude and longitude

Water body identifiers

Target variable:

Categorical HAB severity level (e.g., low, moderate, high)

The CSV dataset enables efficient training of ensemble gradient boosting models without the need for computationally intensive image-based deep learning pipelines.

4. Data Preprocessing and Integration

Satellite images were preprocessed to remove cloud contamination and normalized to surface reflectance values. Spatial joining techniques were employed to align spectral information with corresponding terrain features derived from the DEM. The final structured dataset was exported in CSV format to ensure model portability and scalability across different computational environments.
DOI: 10.17632/5jb9ffpmvr.1
title: Algae bloom dataset

description: The dataset used in this study comprises remotely sensed satellite imagery and derived tabular features stored in CSV format, designed to support scalable prediction of Harmful Algal Bloom (HAB) severity across freshwater bodies in the continental United States. All data sources are publicly available, ensuring transparency, reproducibility, and broad applicability.

1. Image Dataset

The image component of the dataset consists of multispectral satellite imagery acquired from the Sentinel-2 mission, provided by the European Space Agency (ESA). Sentinel-2 offers high spatial resolution imagery suitable for inland water quality assessment.

Satellite platform: Sentinel-2A and Sentinel-2B

Spatial resolution: 10 m, 20 m, and 60 m (band-dependent; 10 m bands primarily used)

Spectral bands used:

Blue (B2)

Green (B3)

Red (B4)

Near-Infrared (B8)

Red-edge bands (B5, B6, B7)

Coverage: Freshwater bodies across the continental United States
Temporal characteristics: Cloud-filtered scenes corresponding to HAB observation periods
These images capture surface reflectance characteristics of water bodies, which are critical indicators of chlorophyll concentration, turbidity, and algal biomass associated with HAB events.
The CSV file serves as the integrated feature repository, combining spectral, topographical, and derived environmental attributes for machine learning modeling.

Each row in the CSV corresponds to a unique water body observation, with columns representing:

Spectral features:

Band reflectance values

Vegetation and water indices (e.g., NDVI-based and water-specific indices)

Terrain features:

Elevation, slope, and watershed characteristics

Geospatial metadata:

Latitude and longitude

Water body identifiers

Target variable:

Categorical HAB severity level (e.g., low, moderate, high)

The CSV dataset enables efficient training of ensemble gradient boosting models without the need for computationally intensive image-based deep learning pipelines.

4. Data Preprocessing and Integration

Satellite images were preprocessed to remove cloud contamination and normalized to surface reflectance values. Spatial joining techniques were employed to align spectral information with corresponding terrain features derived from the DEM. The final structured dataset was exported in CSV format to ensure model portability and scalability across different computational environments.
DOI: 10.17632/tzr659nhmd
title: LA-ICP-MS tephra analysis at Kiel University

description: The dataset provides a description of the laser ablation - inductively coupled plasma - mass spectrometry (LA-ICP-MS) method used for quantitative analysis of 40 major and trace elements in glass fragments from tephra. Analyses were performed using a 193 nm excimer laser ablation system (GeoLas Pro) coupled with Agilent 7900s and Agilent 8900 ICP-MS instruments at the Institute of Earth Sciences, Kiel University (Germany). The method has been applied since April 24, 2017. The description follows a template from the EarthChem portal (https://earthchem.org/communities/tephra#more-on-tephra-0a21).
DOI: 10.17632/tzr659nhmd.1
title: LA-ICP-MS tephra analysis at Kiel University

description: The dataset provides a description of the laser ablation - inductively coupled plasma - mass spectrometry (LA-ICP-MS) method used for quantitative analysis of 40 major and trace elements in glass fragments from tephra. Analyses were performed using a 193 nm excimer laser ablation system (GeoLas Pro) coupled with Agilent 7900s and Agilent 8900 ICP-MS instruments at the Institute of Earth Sciences, Kiel University (Germany). The method has been applied since April 24, 2017. The description follows a template from the EarthChem portal (https://earthchem.org/communities/tephra#more-on-tephra-0a21).
DOI: 10.17632/5hdvknkps5
title: Tracking data for Goldschmidt et al (2025): "Recent experience and internal state shape local search strategies in flies"

description: This dataset contains data for the paper "Recent experience and internal state shape local search strategies in flies". We share trajectory data as feather files and corresponding metadata as yaml files. The data is organized by dataset (same condition, same genotype). Please refer to the publication for further information on preprocessing and analysis, as well as for links to the github repositories with our code.
DOI: 10.17632/5hdvknkps5.1
title: Tracking data for Goldschmidt et al (2025): "Recent experience and internal state shape local search strategies in flies"

description: This dataset contains data for the paper "Recent experience and internal state shape local search strategies in flies". We share trajectory data as feather files and corresponding metadata as yaml files. The data is organized by dataset (same condition, same genotype). Please refer to the publication for further information on preprocessing and analysis, as well as for links to the github repositories with our code.
DOI: 10.6084/m9.figshare.30889208
title: Climate Variability and Winter Tourism in Michigan’s Western Upper Peninsula

description: Data for time-series regression analysis and winter analog results. Portions of the data have been omitted for privacy purposes.
DOI: 10.6084/m9.figshare.30889208.v1
title: Climate Variability and Winter Tourism in Michigan’s Western Upper Peninsula

description: Data for time-series regression analysis and winter analog results. Portions of the data have been omitted for privacy purposes.
DOI: 10.5281/zenodo.18487982
title: Mark Paulino (LiDAR) October 9 2025

description: This orthomosaic of Inalåhan, Guam was created from 730 images taken on October 9 2025, at 300ft AGL, with a DJI Matrice 350 . The mission was planned using the DJI Pilot application and post-processed using DJI Terra.

This project was made possible through funding by the following grant(s): NACD (Award No. HQ00342020012).
description: Disclaimer: The following aerial imagery is intended solely for research purposes related to the assessment of the captured area. It is strictly prohibited to distribute this imagery to any unauthorized individuals or third-party entities without prior authorization. All drone imagery was obtained in accordance with FAA guidelines and applicable local laws, with all necessary authorizations secured to ensure safe and legal operation.

The University of Guam Drone Corps funded by NASA Guam Space Grant and NASA Guam EPSCoR retain all rights to the aerial imagery, including but not limited to copyrights and intellectual property rights. Any unauthorized modification, reproduction, or distribution of the imagery is strictly prohibited.

By using this data, you acknowledge and agree to abide by the terms and conditions set forth in this disclaimer.

 

 

Privacy Disclaimer: The aerial imagery captured for assessment may inadvertently include images of private property and individuals. While every effort has been made to respect privacy, it is possible that identifiable information or sensitive locations may be visible in the imagery. University of Guam Drone Corps and related parties disclaim any responsibility for the unintentional collection or dissemination of such information. The recipient(s) of this imagery are urged to handle it with due care and take necessary precautions to protect the privacy rights of individuals and comply with applicable privacy laws and regulations.
DOI: 10.17632/vhs94hsyxk
title: U.S. monetary policy uncertainty and active risk-taking by China's commercial banks

description: This replication package provides the data and code file to reproduce the empirical results of the above-mentioned manuscript. The package is designed to facilitate transparency and independent verification of all empirical findings reported in this study.
DOI: 10.17632/vhs94hsyxk.3
title: U.S. monetary policy uncertainty and active risk-taking by China's commercial banks

description: This replication package provides the data and code file to reproduce the empirical results of the above-mentioned manuscript. The package is designed to facilitate transparency and independent verification of all empirical findings reported in this study.
DOI: 10.15468/dl.r5882w
title: Occurrence Download

description: A dataset containing 50566 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Carex brizoides, Carex brizoides, Carex brizoides, Carex brizoides, Carex brizoides, Carex brizoides, Carex brizoides)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 50566 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012495-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/d675smwk28
title: The Impact of Cyberloafing and Negligent Behavior on Perfromance and Organizational Citizenship Behavior with Triple Moderator Analysis

description: The research specifically focuses on civil servants in three regencies: Aceh Barat, Nagan Raya, and Aceh Jaya. A multistage random sampling method was employed to select the sample, with the involvement of 124 student enumerators who were distributed across the three regencies. The sample size was determined with a confidence level of 99%, a margin of error of 5%, and a population proportion of 60%, resulting in a total sample size of 611 individuals. However, the study was able to collect complete data from 553 respondents, with the remaining responses incomplete. The research uses a cross-sectional survey approach to examine both direct and indirect relationships between variables such as negligent behavior, cyberloafing, job engagement, accountability, task completion quality, performance, and organizational citizenship behavior (OCB).
DOI: 10.17632/d675smwk28.1
title: The Impact of Cyberloafing and Negligent Behavior on Perfromance and Organizational Citizenship Behavior with Triple Moderator Analysis

description: The research specifically focuses on civil servants in three regencies: Aceh Barat, Nagan Raya, and Aceh Jaya. A multistage random sampling method was employed to select the sample, with the involvement of 124 student enumerators who were distributed across the three regencies. The sample size was determined with a confidence level of 99%, a margin of error of 5%, and a population proportion of 60%, resulting in a total sample size of 611 individuals. However, the study was able to collect complete data from 553 respondents, with the remaining responses incomplete. The research uses a cross-sectional survey approach to examine both direct and indirect relationships between variables such as negligent behavior, cyberloafing, job engagement, accountability, task completion quality, performance, and organizational citizenship behavior (OCB).
DOI: 10.17632/7rj8ynd6rb
title: The characteristics of the rhizosphere and non-rhizosphere soils, as well as the abundance of carbon cycling functional genes, of ND, LD, MD, and HD

description: The characteristics of the rhizosphere and non-rhizosphere soils, as well as the abundance of carbon cycling functional genes, of ND, LD, MD, and HD
DOI: 10.17632/7rj8ynd6rb.1
title: The characteristics of the rhizosphere and non-rhizosphere soils, as well as the abundance of carbon cycling functional genes, of ND, LD, MD, and HD

description: The characteristics of the rhizosphere and non-rhizosphere soils, as well as the abundance of carbon cycling functional genes, of ND, LD, MD, and HD
DOI: 10.17632/snhchrhxvm
title: Profiling Large-Scale Advance Care Planning Engagement Patterns Among Chinese Older Adults: A Multi-Regional Cluster Ensemble Approach for Precision Interventions

description: This mixed-methods study examined advance care planning engagement patterns among 3,342 Chinese older adults through cluster ensemble analysis, identifying three distinct archetypes: measured-belief moderate motivators (n=1,068), weak-conviction disinterested types (n=1,120), and high-conviction strongly-motivated believers (n=1,461). Validated questionnaires assessed knowledge, attitudes, beliefs, and motivations toward advance care planning. Phenomenological interviews with 30 purposively selected participants explored cluster-specific barriers and facilitators. Data encompasses quantitative survey responses (demographic characteristics, psychometric assessments), clustering algorithm outputs (K-means, agglomerative, spectral, Gaussian mixture model, voting, consensus matrix), and qualitative interview transcripts with thematic coding. Findings revealed culturally distinct engagement profiles shaped by filial piety, mortality perspectives, and family decision-making dynamics, informing precision intervention strategies tailored to each archetype's motivational readiness and structural support needs within Chinese healthcare contexts.
DOI: 10.17632/snhchrhxvm.1
title: Profiling Large-Scale Advance Care Planning Engagement Patterns Among Chinese Older Adults: A Multi-Regional Cluster Ensemble Approach for Precision Interventions

description: This mixed-methods study examined advance care planning engagement patterns among 3,342 Chinese older adults through cluster ensemble analysis, identifying three distinct archetypes: measured-belief moderate motivators (n=1,068), weak-conviction disinterested types (n=1,120), and high-conviction strongly-motivated believers (n=1,461). Validated questionnaires assessed knowledge, attitudes, beliefs, and motivations toward advance care planning. Phenomenological interviews with 30 purposively selected participants explored cluster-specific barriers and facilitators. Data encompasses quantitative survey responses (demographic characteristics, psychometric assessments), clustering algorithm outputs (K-means, agglomerative, spectral, Gaussian mixture model, voting, consensus matrix), and qualitative interview transcripts with thematic coding. Findings revealed culturally distinct engagement profiles shaped by filial piety, mortality perspectives, and family decision-making dynamics, informing precision intervention strategies tailored to each archetype's motivational readiness and structural support needs within Chinese healthcare contexts.
DOI: 10.17632/gff8bmr4ff.1
title: PolyglotFakeFacts: A multilingual dataset of fake and real news across politics, security, and social domains

description: PolyglotFakeFacts is a multilingual dataset designed to support research on the detection of fake and real news across diverse domains such as politics, geopolitics, security, social issues, and military affairs.

The research hypothesis underpinning this dataset is that linguistic and contextual markers of misinformation can be systematically identified across multiple languages, enabling the development of more robust and generalizable fake news detection models.

The dataset shows a balanced collection of human-labeled fake news articles alongside verified real news extracted from trusted media outlets. Notably, the data covers multiple languages and different thematic areas, which allows researchers to explore how misinformation manifests in diverse cultural and geopolitical contexts.

Among the key findings is that fake news articles often display recurring linguistic and structural patterns regardless of the language, while real news tends to follow more standardized journalistic conventions. This suggests that multilingual approaches to fake news detection could leverage both cross-linguistic similarities and domain-specific features.

The data was gathered through a combination of manual annotation by human experts for fake news samples and curation of real news from reliable sources. All samples were pre-processed to ensure consistent formatting, removal of duplicates, and inclusion of metadata such as language, domain, and label (fake/real).

This dataset can be interpreted and used by researchers aiming to:

- train and evaluate machine learning and deep learning models for fake news classification,

- perform cross-lingual and multilingual comparative studies,

- investigate the linguistic, semantic, and thematic characteristics of misinformation.

By providing a curated, multilingual, and domain-diverse resource, PolyglotFakeFacts enables the community to develop more transparent, explainable, and resilient AI models for combating online misinformation.