cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/6s449dpwv6.1
title: DAB-Sky Multitemporal Drone Dataset, 2025

description: The DAB-Sky dataset comprises 39,827 multitemporal aerial images that integrate both real and synthetic drone imagery for use in drone detection, segmentation, and airspace monitoring research. Real-world images were collected using DSLR and 2K industrial surveillance cameras positioned at varying distances and altitudes. To capture illumination diversity, image acquisition was conducted during four distinct time periods: morning, noon, evening, and night. Complementing the real imagery, synthetic images were produced using Blender 3D and Unreal Engine, where drone models were rendered under adjustable lighting conditions, sky environments, and atmospheric scattering. Aerodynamic variations—including pitch shifts of ±25°, roll adjustments of ±20°, and yaw movements of ±30° were incorporated to simulate realistic flight dynamics, alongside additional visual effects such as motion blur, exposure variation, and HDRI-based illumination.
Every image in the dataset is accompanied by two forms of annotations: YOLO-format bounding boxes for object detection tasks and polygon segmentation masks for fine-grained contour analysis. All images were originally recorded at a resolution of 1920×1080 pixels and subsequently standardized to 450×450 pixels to ensure uniformity across the dataset. Through its combination of diverse lighting conditions, varied backgrounds, multiple drone orientations, and dual-domain (real and synthetic) representation, DAB-Sky provides a comprehensive resource suitable for benchmarking drone detection methods, training computer vision models, and supporting research in intelligent airspace surveillance.
DOI: 10.17632/ww96x3wyh3
title: Data and Supporting Information for Transmission of compressive-tensile seismic waves with tensile components across cemented discontinuities exhibiting tension-softening behavior

description: The data of stress versus opeing curves for different direct tesion tests, and the two waveforms obtained from the SHTB tests.
The supporting information file provides details of the experimental setups for direct tension tests and modified split Hopkinson pressure and tension bar tests, along with data processing procedures. Validation of the proposed inverse hyperbolic-linear (iHL) model is presented. The analytical solution for stress wave transmission based on the combined BB-iHL model is evaluated using dynamic compression and tension tests on discontinuities.
DOI: 10.17632/ww96x3wyh3.3
title: Data and Supporting Information for Transmission of compressive-tensile seismic waves with tensile components across cemented discontinuities exhibiting tension-softening behavior

description: The data of stress versus opeing curves for different direct tesion tests, and the two waveforms obtained from the SHTB tests.
The supporting information file provides details of the experimental setups for direct tension tests and modified split Hopkinson pressure and tension bar tests, along with data processing procedures. Validation of the proposed inverse hyperbolic-linear (iHL) model is presented. The analytical solution for stress wave transmission based on the combined BB-iHL model is evaluated using dynamic compression and tension tests on discontinuities.
DOI: 10.17632/jhsxrwp84v
title: Data for: Dissolved Organic Matter Modulates Arsenic Oxidation and Immobilization during Fe(II) Oxygenation: ROS Regulation and Colloidal Formation

description: Raw data for all figures in the manuscript to be submitted to Geochimica et Cosmochimica Acta as "Dissolved Organic Matter Modulates Arsenic Oxidation and Immobilization during Fe(II) Oxygenation: ROS Regulation and Colloidal Formation."
DOI: 10.17632/jhsxrwp84v.1
title: Data for: Dissolved Organic Matter Modulates Arsenic Oxidation and Immobilization during Fe(II) Oxygenation: ROS Regulation and Colloidal Formation

description: Raw data for all figures in the manuscript to be submitted to Geochimica et Cosmochimica Acta as "Dissolved Organic Matter Modulates Arsenic Oxidation and Immobilization during Fe(II) Oxygenation: ROS Regulation and Colloidal Formation."
DOI: 10.17632/s2zzm2jh3d
title: FKF1 nuclear condensates control anti-florigen turnover and flowering onset in response to nitrogen availability in monocots

description: Wesern blots images including the main and supplemental figures
DOI: 10.17632/s2zzm2jh3d.1
title: FKF1 nuclear condensates control anti-florigen turnover and flowering onset in response to nitrogen availability in monocots

description: Wesern blots images including the main and supplemental figures
DOI: 10.17632/mkvsvjpgvv
title: Supplementary Dataset for: Development of a Propidium Monoazide–Droplet Digital Polymerase Chain Reaction Assay for Strain-Specific Quantification of Lactiplantibacillus plantarum YZH81 in Fermented Milk

description: This study is the first to report the identification of L. plantarum at the strain level. Through WGS-SNP analysis, three sets of primer–probe sequences were established (Table S1). The specificity and sensitivity tests demonstrated that all three sets of primers and probes successfully enabled the identification of strain YZH81 (Table S2). To evaluate the applicability of this WGS-SNP primer design methodology, we subsequently designed two additional sets of primer–probe sequences (Table S1) for other laboratory-preserved L. plantarum strains, WCFS1 and ST-III. The specificity and sensitivity experiments (Figure S1) confirmed successful detection of the respective strains. In summary, we successfully established a primer–probe design method based on WGS-SNP analysis for the strain-level identification of L. plantarum. Subsequently, the first set of primers and probes for YZH81 (Table 3) was selected for further experiments.
DOI: 10.17632/mkvsvjpgvv.1
title: Supplementary Dataset for: Development of a Propidium Monoazide–Droplet Digital Polymerase Chain Reaction Assay for Strain-Specific Quantification of Lactiplantibacillus plantarum YZH81 in Fermented Milk

description: This study is the first to report the identification of L. plantarum at the strain level. Through WGS-SNP analysis, three sets of primer–probe sequences were established (Table S1). The specificity and sensitivity tests demonstrated that all three sets of primers and probes successfully enabled the identification of strain YZH81 (Table S2). To evaluate the applicability of this WGS-SNP primer design methodology, we subsequently designed two additional sets of primer–probe sequences (Table S1) for other laboratory-preserved L. plantarum strains, WCFS1 and ST-III. The specificity and sensitivity experiments (Figure S1) confirmed successful detection of the respective strains. In summary, we successfully established a primer–probe design method based on WGS-SNP analysis for the strain-level identification of L. plantarum. Subsequently, the first set of primers and probes for YZH81 (Table 3) was selected for further experiments.
DOI: 10.17632/m5hmzyby76
title: Raw and process data on growth and pollutant removal by Dactyloccocus dissociatus MT1 in municipal wastewater

description: This dataset contains raw and processed experimental data on the growth performance and ‎pollutant removal efficiency of Dactylococcus dissociatus MT1 during tertiary treatment of ‎municipal wastewater. The data include measurements of algal biomass, optical density, ‎nutrient concentrations (NH4–N, NO3–N, and PO4–P), chemical oxygen demand (COD), ‎and pH over time. Experiments were conducted under controlled laboratory conditions using ‎real, synthetic municipal secondary wastewater. The dataset supports the findings of the associated ‎research article and can be used for comparative and reproducibility studies
DOI: 10.17632/m5hmzyby76.1
title: Raw and process data on growth and pollutant removal by Dactyloccocus dissociatus MT1 in municipal wastewater

description: This dataset contains raw and processed experimental data on the growth performance and ‎pollutant removal efficiency of Dactylococcus dissociatus MT1 during tertiary treatment of ‎municipal wastewater. The data include measurements of algal biomass, optical density, ‎nutrient concentrations (NH4–N, NO3–N, and PO4–P), chemical oxygen demand (COD), ‎and pH over time. Experiments were conducted under controlled laboratory conditions using ‎real, synthetic municipal secondary wastewater. The dataset supports the findings of the associated ‎research article and can be used for comparative and reproducibility studies
DOI: 10.15468/dl.jkcam5
title: Occurrence Download

description: A dataset containing 745 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Hongos formadores de micorrizas arbusculares de la transición Andino-Amazónica del departamento del Caquetá - Proyecto Colombia BIO"
 ]
}

 The dataset includes 745 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050032-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/czsf8899jm
title: Dataset of “Determinants and forecasting of corporate greenwashing behavior”: Corporate greenwashing accusations

description: This dataset accompanies the paper: Jens Eckberg, Gregor Dorfleitner, Manuel C. Kathan, Sebastian Utz; Determinants and forecasting of corporate greenwashing behavior, Journal of Economic Behavior & Organization, Volume 241, 2026, 107354, ISSN 0167-2681, https://doi.org/10.1016/j.jebo.2025.107354

The dataset comprises a list of third-party accusations of greenwashing against STOXX Europe 600 companies, published in the media and on social media platforms, between 2011 and 2023. These accusations were manually collected and the severity of the accusations was assessed by humans based on a predefined framework. The authors raised no accusations; the dataset solely evaluates and codes greenwashing accusations made publicly available by external sources. Each third-party accusation was assessed for its severity. The variable “GW_SCORE” captures this assessment on a scale from 0 (no greenwashing) to 1 (greenwashing). A detailed description of the construction, coding procedure, and validation of the greenwashing severity score is provided in the paper. 

The dataset includes the company name (“COMPANY_NAME”) and is structured as a panel dataset with annual observations for the period 2011–2023. It also contains the column “USED_FOR_ANALYSIS”, which indicates True if a given company-year score was included in the empirical analyses of the paper, and False if it was not. 

Please cite the following studies when using the dataset, as they provide the rationale for its development.

Eckberg, J., Dorfleitner, G., Kathan, M. C., & Utz, S. (2026). Determinants and forecasting of corporate greenwashing behavior. Journal of Economic Behavior & Organization, 241, 107354. https://doi.org/10.1016/j.jebo.2025.107354

Kathan, M. C., Utz, S., Dorfleitner, G., Eckberg, J., & Chmel, L. (2025). What you see is not what you get: ESG scores and greenwashing risk. Finance Research Letters, 74, 106710. https://doi.org/10.1016/j.frl.2024.106710
DOI: 10.25345/c58w38g15
title: MassIVE MSV000100203 - Targeting p300 Driven PARP1 Acetylation to Reverse Acidic Microenvironment-Induced PARP Inhibitor Resistance
title: PARP inhibitors (PARPi) resistance limits therapeutic efficacy. However, the contribution of the acidic tumor microenvironment (TME) to PARPi response has not been explored. Here, we demonstrate that the acidic TME drives a p300 dependent mechanism of PARPi resistance in epithelial ovarian cancer (EOC). A pathologically acidic pH enhances DNA damage repair, reduced PARPi mediated PARP1 trapping, and attenuates PARPi mediated anti tumor efficacy. An unbiased epigenetically focused CRISPR Cas9 screen revealed p300 as a druggable target for reversing acidic pH induced PARPi resistance. Mechanistically, we identified an ERK p300 PARP1 signaling axis activated under acidic pH, which alleviates PARPi induced PARP1 trapping and associated DNA damage by directly acetylating PARP1 on lysine 505 residue (PARP1 K505ac). Elevated PARP1 K505ac correlates with poorer overall survival and PARPi resistance. In patient derived and syngeneic EOC models, multiple p300 inhibitors synergize with PARPi to inhibit tumor growth. Together, our findings establish p300 as a promising therapeutic target for reversing acidosis-driven PARPi resistance.
DOI: 10.17632/czsf8899jm.3
title: Dataset of “Determinants and forecasting of corporate greenwashing behavior”: Corporate greenwashing accusations

description: This dataset accompanies the paper: Jens Eckberg, Gregor Dorfleitner, Manuel C. Kathan, Sebastian Utz; Determinants and forecasting of corporate greenwashing behavior, Journal of Economic Behavior & Organization, Volume 241, 2026, 107354, ISSN 0167-2681, https://doi.org/10.1016/j.jebo.2025.107354

The dataset comprises a list of third-party accusations of greenwashing against STOXX Europe 600 companies, published in the media and on social media platforms, between 2011 and 2023. These accusations were manually collected and the severity of the accusations was assessed by humans based on a predefined framework. The authors raised no accusations; the dataset solely evaluates and codes greenwashing accusations made publicly available by external sources. Each third-party accusation was assessed for its severity. The variable “GW_SCORE” captures this assessment on a scale from 0 (no greenwashing) to 1 (greenwashing). A detailed description of the construction, coding procedure, and validation of the greenwashing severity score is provided in the paper. 

The dataset includes the company name (“COMPANY_NAME”) and is structured as a panel dataset with annual observations for the period 2011–2023. It also contains the column “USED_FOR_ANALYSIS”, which indicates True if a given company-year score was included in the empirical analyses of the paper, and False if it was not. 

Please cite the following studies when using the dataset, as they provide the rationale for its development.

Eckberg, J., Dorfleitner, G., Kathan, M. C., & Utz, S. (2026). Determinants and forecasting of corporate greenwashing behavior. Journal of Economic Behavior & Organization, 241, 107354. https://doi.org/10.1016/j.jebo.2025.107354

Kathan, M. C., Utz, S., Dorfleitner, G., Eckberg, J., & Chmel, L. (2025). What you see is not what you get: ESG scores and greenwashing risk. Finance Research Letters, 74, 106710. https://doi.org/10.1016/j.frl.2024.106710
DOI: 10.6084/m9.figshare.30571475
title: Supplementary files

description: Supplementary Files.
DOI: 10.6084/m9.figshare.30571475.v1
title: Supplementary files

description: Supplementary Files.
DOI: 10.6084/m9.figshare.30571475.v2
title: Supplementary files

description: Supplementary Files.
DOI: 10.17632/8gdtsm33w2
title: circuit simulation results of （36）

description: circuit simulation results of （36）
DOI: 10.17632/8gdtsm33w2.1
title: circuit simulation results of （36）

description: circuit simulation results of （36）
DOI: 10.17632/sf7fs2gjgh
title: Data for: Critical remarks on the report "THE SCATTERING INTEGRALS: INTEGRATION AND ACCURACY" by H.G. Schlager and W. Eckstein

description: The scattering integrals and related quantities for the Molière, the ZBL, and the Kr-C interatomic interaction potentials, calculated using a 10,000-point Gauss-Mehler procedure. 
Naming convention for the scattering integral files is as follows:
"potential_the reduced energy_Nthe number of points in the Gauss-Mehler procedure_table.dat".
E.g., "krc_0.3000E-5_N10000_table.dat" provides a data table for the Kr-C potential of the reduced energy of 3 times 10 to the minus 6th power, calculated with 10000 points.
"mol" denotes the Molière potential, and "zbl" denotes the universal Ziegler-Biersack-Littmark (ZBL) potential. 
Files "mistaken_krc_*.dat" provide the calculation results for the Kr-C potential with the mistaken constant c3=0.355, which was used in the report by Schlager and Eckstein (1989).
Mostly, column names in the files are self-explanatory. The 6th column gives the values of the time integral in the formulation by Leibfried (see G. Leibfried, Brstrahlungseelzte in Festkörpern (Teubner, Stuttgart, 1965), pp. 43-44), which is not discussed in the paper. The 9th column shows the values of the absolute error in the value of the differential scattering cross-section.
DOI: 10.17632/sf7fs2gjgh.2
title: Data for: Critical remarks on the report "THE SCATTERING INTEGRALS: INTEGRATION AND ACCURACY" by H.G. Schlager and W. Eckstein

description: The scattering integrals and related quantities for the Molière, the ZBL, and the Kr-C interatomic interaction potentials, calculated using a 10,000-point Gauss-Mehler procedure. 
Naming convention for the scattering integral files is as follows:
"potential_the reduced energy_Nthe number of points in the Gauss-Mehler procedure_table.dat".
E.g., "krc_0.3000E-5_N10000_table.dat" provides a data table for the Kr-C potential of the reduced energy of 3 times 10 to the minus 6th power, calculated with 10000 points.
"mol" denotes the Molière potential, and "zbl" denotes the universal Ziegler-Biersack-Littmark (ZBL) potential. 
Files "mistaken_krc_*.dat" provide the calculation results for the Kr-C potential with the mistaken constant c3=0.355, which was used in the report by Schlager and Eckstein (1989).
Mostly, column names in the files are self-explanatory. The 6th column gives the values of the time integral in the formulation by Leibfried (see G. Leibfried, Brstrahlungseelzte in Festkörpern (Teubner, Stuttgart, 1965), pp. 43-44), which is not discussed in the paper. The 9th column shows the values of the absolute error in the value of the differential scattering cross-section.
DOI: 10.15468/dl.zmk3fy
title: Occurrence Download

description: A dataset containing 497 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-1.120878 40.263278, -1.121298 40.303743, -1.174620 40.303743, -1.174180 40.263278, -1.120878 40.263278))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2015",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 497 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050033-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/rdjdmb36rv
title: Supplementary material for Reviewer

description: The data in this package is specifically in response to the comments from Reviewer 2, focusing primarily on Questions 2 and 4. Please note that our manuscript is titled "Prediction of Rice Aboveground Biomass Using UAV Multi-Source Features Enhanced by an Ensemble Learning Framework," currently under submission to Frontiers in Plant Science （Manuscript ID: 1663883）.
DOI: 10.17632/rdjdmb36rv.1
title: Supplementary material for Reviewer

description: The data in this package is specifically in response to the comments from Reviewer 2, focusing primarily on Questions 2 and 4. Please note that our manuscript is titled "Prediction of Rice Aboveground Biomass Using UAV Multi-Source Features Enhanced by an Ensemble Learning Framework," currently under submission to Frontiers in Plant Science （Manuscript ID: 1663883）.
DOI: 10.17632/4chz76p5yx
title: SMIT Engineering Career Aspirations Dataset Demographics, BFI-10 Personality Traits, and RIASEC Career Interests

description: The SMIT Engineering Career Aspirations Dataset is a comprehensive, structured dataset containing information from 1,863 undergraduate engineering students at Sikkim Manipal Institute of Technology (SMIT), India. It integrates multiple dimensions of student data, including demographic attributes, BFI-10 personality trait responses, and RIASEC-based career interest selections.

This dataset provides a unique hybrid view of how engineering students’ psychological profiles—measured through the Big Five personality traits (Extraversion, Agreeableness, Conscientiousness, Neuroticism, and Openness)—relate to their declared career aspirations across domains such as technical engineering, research, design, cybersecurity, and management. It also includes regional, gender, and semester-level distribution, offering rich opportunities for descriptive analysis, cross-cultural comparisons, statistical modelling, clustering, and machine-learning–based prediction of career preferences.
DOI: 10.17632/4chz76p5yx.1
title: SMIT Engineering Career Aspirations Dataset Demographics, BFI-10 Personality Traits, and RIASEC Career Interests

description: The SMIT Engineering Career Aspirations Dataset is a comprehensive, structured dataset containing information from 1,863 undergraduate engineering students at Sikkim Manipal Institute of Technology (SMIT), India. It integrates multiple dimensions of student data, including demographic attributes, BFI-10 personality trait responses, and RIASEC-based career interest selections.

This dataset provides a unique hybrid view of how engineering students’ psychological profiles—measured through the Big Five personality traits (Extraversion, Agreeableness, Conscientiousness, Neuroticism, and Openness)—relate to their declared career aspirations across domains such as technical engineering, research, design, cybersecurity, and management. It also includes regional, gender, and semester-level distribution, offering rich opportunities for descriptive analysis, cross-cultural comparisons, statistical modelling, clustering, and machine-learning–based prediction of career preferences.
DOI: 10.17632/yyh7c86yx6
title: Understanding Children’s Bonds with Voice Assistants: A Comparative Approach to Parasocial Relationships

description: As voice assistants (VAs) become more prevalent in children’s social environments, questions arise about whether children form social relationships with them, and if so, what characterizes these bonds. This study examined children’s relationships with VAs through the lens of parasocial relationships (PSRs). Differences and similarities between children’s PSR with VAs, cartoon characters, toys, and close friends were evaluated with a comparative design. 68 children aged 7 to 10 (Mage = 8.67, 33 girls) were asked to interact with a VA, and a PSR scale was used to measure the strength of PSR for VA, as well as for the other agents. Supporting our hypothesis, after a single interaction, children’s PSR with the VA was comparable to those with cartoon characters and toys, indicating that the relationship with VAs can be considered parasocial. Children’s perceptions of the VA’s agency, biological properties, and life attributions to the VA positively predicted stronger PSR, beyond their general tendency to anthropomorphize. These findings highlight the importance of how children interpret agent properties in forming social bonds and contribute to PSR literature by emphasizing VAs’ unique affordances, such as reciprocity and interactive features, in forming PSR.