cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15728460
title: Dataset for paper: "Assessing ecosystem services in protected areas: trade-offs and hotspots in Friuli Venezia Giulia region (northeastern Italy)"

description: Protected areas (PAs) are expected to provide multiple ecosystem services (ESs), but quantitative assessments on their effectiveness in maintaining ESs are often lacking. This work aims to assess the effectiveness of PAs in delivering multiple ESs compared to non-protected areas (NPAs), while exploring trade-offs and synergies between ESs and their hotspots. To this end we quantified, mapped and analysed four forest-related ESs in a mountainous region of northeastern Italy, which includes several PAs of the Natura 2000 network. We found higher values of habitat provision and recreation supply ESs in PAs than in NPAs, but lower C storage and erosion control. No extremetrade-offs between ESs were observed, and hotspots were identified both inside and outside PAs. Our results suggest that landscape composition in terms of land use and cover as well as geoclimatic characteristics greatly influenced PAs’ and NPAs’ ability to provide ESs.
DOI: 10.15468/dl.uem6ne
title: Occurrence Download

description: A dataset containing 67848 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Romania",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 67848 records from 414 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067061-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/12267914
title: Daily Public Opinion on Israel-Palestine War
DOI: 10.15468/dl.enahcg
title: Occurrence Download

description: A dataset containing 128 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "DatasetKey is Mosquito Alert Dataset"
 ]
}

 The dataset includes 128 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067067-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15699298
title: Transcriptomic analysis of lettuce seedlings in response to cytokinins and oxidative stress

description: This dataset includes transcriptomic profiles of Lactuca sativa (cv. Salinas) seedlings generated via high-depth RNA sequencing in two independent experiments:








GSE281401, refered ad CK— Seedlings treated with exogenous cytokinins (6-benzylaminopurine at 5 µM or 50 µM) for 6 and 24 hours. The aim of this experiment is to investigate cytokinin-responsive transcriptional networks, with a particular focus on Cytokinin Response Factors (CRFs), which play a crucial role in modulating plant growth and abiotic stress responses.



GSE281402, refered as OS— Seedlings exposed to hydrogen peroxide (H₂O₂) for 1 and 3 hours to explore the transcriptional response to oxidative stress.







Expression data are presented in the format of counts, TMM-normalized counts, TPM, FPKM

DEGS and Network Analysis results carried out using the CK dataset are also presented



Network analysis include k-mean clustering, WGCNA and topologycal analysis



A file containing manually curated annottations for CK, OS and photosynthesis pathways and the lettuce Transcription factors used for the interpretation of the results is included

Raw sequence files (SRA) are currently under embargo and will be publicly released on July 31, 2025 within the GSE281401 and GSE281402 GEO datasets


Both experiments include time course sampling and three biological replicates per condition. This dataset provides an integrated framework for investigating hormonal and environmental signal integration in Asteraceae crops. More experimental details in seq_template - CK (version 1).xlsb.xlsx and seq_template - OS (version 1).xlsb.xlsx
DOI: 10.34740/kaggle/dsv/12267953
title: Public Opinion on Climate Change (Updated Daily)
DOI: 10.5281/zenodo.15489796
title: Dataset for: Vacancy formation energy as a descriptor of the exfoliability of MAX phases to MXenes

description: This repository contains the data that accompany  the paper "Vacancy formation energy as a descriptor of the exfoliability of MAX Phases to MXenes" ( https://doi.org/10.1038/s41699-025-00581-1  )

Contents




Archive / file
Description


ideal.zip 
DFT data for ideal structures. • ideal_mxene.db – MXene structures • ideal_MAX.db – MAX-phase structures


vacancy.zip
DFT data for vacancy (defective) structures. • M_vacancy_mxene.db (MXenes)• X_vacancy_mxene.db (MXenes)• A_vacancy_MAX.db (MAX phases)


NIST_ATLAS_data.zip
CSV files with combined chemical-potential data from the NIST and ATLAS databases, pre-parsed for direct use in Python.


muF.csv
pH-dependent chemical potential of F, generated from F⁻ and HF₂⁻ (see the paper’s Supplementary Information).


elements.db
DFT reference data for elemental phases (required to compute formation enthalpies).


script.zip
Two self-contained Jupyter notebooks—vacancy_mxene.ipynb and vacancy_max.ipynb—plus the custom Python libraries they depend on.




Note All DFT data are stored in ASE SQLite databases (*.db). They can be opened in Python (import ase.db) or via the command-line tool ase db <filename>.db on Linux/macOS. For details, consult the ASE database documentation.

Quick-start guide





Create a working directory and place every item from this repository into it.




Unzip all .zip archives in the same folder (keep the unzipped and standalone files together).




Open one of the notebooks inside script/ in Jupyter or VS Code.





The first cell lists the Python packages you may need to install (typically via pip).






Run the notebook from top to bottom.





The second last cell displays a plot of vacancy-formation energies.




The final cell writes the results to disk as a dataframe.
DOI: 10.5281/zenodo.15489795
title: Dataset for: Vacancy formation energy as a descriptor of the exfoliability of MAX phases to MXenes

description: This repository contains the data that accompany  the paper "Vacancy formation energy as a descriptor of the exfoliability of MAX Phases to MXenes" ( https://doi.org/10.1038/s41699-025-00581-1  )

Contents




Archive / file
Description


ideal.zip 
DFT data for ideal structures. • ideal_mxene.db – MXene structures • ideal_MAX.db – MAX-phase structures


vacancy.zip
DFT data for vacancy (defective) structures. • M_vacancy_mxene.db (MXenes)• X_vacancy_mxene.db (MXenes)• A_vacancy_MAX.db (MAX phases)


NIST_ATLAS_data.zip
CSV files with combined chemical-potential data from the NIST and ATLAS databases, pre-parsed for direct use in Python.


muF.csv
pH-dependent chemical potential of F, generated from F⁻ and HF₂⁻ (see the paper’s Supplementary Information).


elements.db
DFT reference data for elemental phases (required to compute formation enthalpies).


script.zip
Two self-contained Jupyter notebooks—vacancy_mxene.ipynb and vacancy_max.ipynb—plus the custom Python libraries they depend on.




Note All DFT data are stored in ASE SQLite databases (*.db). They can be opened in Python (import ase.db) or via the command-line tool ase db <filename>.db on Linux/macOS. For details, consult the ASE database documentation.

Quick-start guide





Create a working directory and place every item from this repository into it.




Unzip all .zip archives in the same folder (keep the unzipped and standalone files together).




Open one of the notebooks inside script/ in Jupyter or VS Code.





The first cell lists the Python packages you may need to install (typically via pip).






Run the notebook from top to bottom.





The second last cell displays a plot of vacancy-formation energies.




The final cell writes the results to disk as a dataframe.
DOI: 10.5281/zenodo.15728567
title: Dataset and Tables of Results for the research article "ESG Initiatives and Financial Stability in the Korean Financial Industry: The Moderating Role of Ownership Concentration"

description: Dataset and Tables of Results for the research article "ESG Initiatives and Financial Stability in the Korean Financial Industry: The Moderating Role of Ownership Concentration"

Abstract:

Financial firms are emerging as key drivers of responsible and sustainable business practices, shaping sustainable development through the entities they choose to finance. The ownership structures and governance mechanisms of these entities can influence sustainability initiatives, with potential implications for financial stability due to the costs and risks of implementation. This study aims to examine the impact of ESG initiatives on the financial stability of Korean financial firms and understand how ownership concentration moderates this relationship. Utilizing fixed effects regression model, this study investigates 537 firm-year observations across 53 firms in the financial sector in Korea, encompassing banks, insurance companies, securities firms, and diversified financial services firms covering the years 2012 to 2023. The analysis reveals that for banks, environmental sustainability initiatives are positively associated with financial stability (coefficient = 0.0017; t = 1.84), while social responsibility initiatives have a negative association (coefficient = -0.0018; t = -2.00). In the case of insurance firms, overall sustainability efforts show a negative relationship with financial stability (coefficient = -0.0061; t = -1.72), driven mainly by the governance dimension (coefficient = -0.0074; t = -2.06). Additionally, in the case of banks, higher ownership concentration diminishes the positive impact of environmental sustainability on financial stability (coefficient = -0.0056; t = -1.90). Moreover, ownership concentration functions as a double-edged sword where its moderating impact varies depending on whether the financial firm is a high or low ESG performer. These findings highlight the importance of firm-specific dynamics in aligning with the institutional and societal expectations of ESG while navigating the complexities of ownership concentration as a pathway for financial firms to maintain financial stability.
DOI: 10.5281/zenodo.15728568
title: Dataset and Tables of Results for the research article "ESG Initiatives and Financial Stability in the Korean Financial Industry: The Moderating Role of Ownership Concentration"

description: Dataset and Tables of Results for the research article "ESG Initiatives and Financial Stability in the Korean Financial Industry: The Moderating Role of Ownership Concentration"

Abstract:

Financial firms are emerging as key drivers of responsible and sustainable business practices, shaping sustainable development through the entities they choose to finance. The ownership structures and governance mechanisms of these entities can influence sustainability initiatives, with potential implications for financial stability due to the costs and risks of implementation. This study aims to examine the impact of ESG initiatives on the financial stability of Korean financial firms and understand how ownership concentration moderates this relationship. Utilizing fixed effects regression model, this study investigates 537 firm-year observations across 53 firms in the financial sector in Korea, encompassing banks, insurance companies, securities firms, and diversified financial services firms covering the years 2012 to 2023. The analysis reveals that for banks, environmental sustainability initiatives are positively associated with financial stability (coefficient = 0.0017; t = 1.84), while social responsibility initiatives have a negative association (coefficient = -0.0018; t = -2.00). In the case of insurance firms, overall sustainability efforts show a negative relationship with financial stability (coefficient = -0.0061; t = -1.72), driven mainly by the governance dimension (coefficient = -0.0074; t = -2.06). Additionally, in the case of banks, higher ownership concentration diminishes the positive impact of environmental sustainability on financial stability (coefficient = -0.0056; t = -1.90). Moreover, ownership concentration functions as a double-edged sword where its moderating impact varies depending on whether the financial firm is a high or low ESG performer. These findings highlight the importance of firm-specific dynamics in aligning with the institutional and societal expectations of ESG while navigating the complexities of ownership concentration as a pathway for financial firms to maintain financial stability.
DOI: 10.5281/zenodo.15706700
title: Spectroscopic Analysis of Pictor II: a very low metallicity ultra-faint dwarf galaxy bound to the Large Magellanic Cloud

description: Pace, Li, Ji, Simon et al. 2025

Catalog level files from Magellan/IMACS spectroscopy (fits files) and additional extra plots (pdf files). This includes an expanded version of Table 3 and individual velocity and metallicity epoch data. 

files:

readme.txt

pictor_2_imacs_individual_epochs.fits

pictor_2_imacs_combined_catalog.fits

extra_plots/folder
DOI: 10.5281/zenodo.15706701
title: Spectroscopic Analysis of Pictor II: a very low metallicity ultra-faint dwarf galaxy bound to the Large Magellanic Cloud

description: Pace, Li, Ji, Simon et al. 2025

Catalog level files from Magellan/IMACS spectroscopy (fits files) and additional extra plots (pdf files). This includes an expanded version of Table 3 and individual velocity and metallicity epoch data. 

files:

readme.txt

pictor_2_imacs_individual_epochs.fits

pictor_2_imacs_combined_catalog.fits

extra_plots/folder
DOI: 10.5281/zenodo.15728001
title: Bilingual Concordance Entries of 'dijak' in the Official Gazette (SL–IT)

description: This document presents a bilingual concordance of the Slovenian term dijak ʻsecondary shool studentʼ and its Italian equivalents, as found in legally binding bilingual texts (Slovenian–Italian) published in the Official Gazette of the Republic of Slovenia. The concordance includes context-rich examples that illustrate how dijak and its translations are used in official discourse, highlighting semantic nuances, translation choices, and potential terminological inconsistencies.

The corpus used for this study consists of eighty-four bilingual publications from Slovenian Istria, issued online between 2004 and 2024. The texts primarily concern preschool and primary education, with two documents addressing scholarships. The Slovenian originals contain 84,176 words, while the Italian translations amount to 109,523 words.

To compile and analyse the data, we used Sketch Engine, a corpus analysis tool designed for querying, processing, and aligning multilingual texts.
DOI: 10.5281/zenodo.15728002
title: Bilingual Concordance Entries of 'dijak' in the Official Gazette (SL–IT)

description: This document presents a bilingual concordance of the Slovenian term dijak ʻsecondary shool studentʼ and its Italian equivalents, as found in legally binding bilingual texts (Slovenian–Italian) published in the Official Gazette of the Republic of Slovenia. The concordance includes context-rich examples that illustrate how dijak and its translations are used in official discourse, highlighting semantic nuances, translation choices, and potential terminological inconsistencies.

The corpus used for this study consists of eighty-four bilingual publications from Slovenian Istria, issued online between 2004 and 2024. The texts primarily concern preschool and primary education, with two documents addressing scholarships. The Slovenian originals contain 84,176 words, while the Italian translations amount to 109,523 words.

To compile and analyse the data, we used Sketch Engine, a corpus analysis tool designed for querying, processing, and aligning multilingual texts.
DOI: 10.5281/zenodo.14980470
title: Dataset Synteza substancji farmaceutycznie aktywnych z wykorzystaniem innowacyjnych biokatalizatorów opartych o polimerowe ciecze jonowe

description: This work was supported by the National Science Center, Poland, under research grant no. 2023/49/N/ST8/03038.
DOI: 10.5281/zenodo.14980471
title: Dataset Synteza substancji farmaceutycznie aktywnych z wykorzystaniem innowacyjnych biokatalizatorów opartych o polimerowe ciecze jonowe

description: This work was supported by the National Science Center, Poland, under research grant no. 2023/49/N/ST8/03038.
DOI: 10.24385/lincoln.24591090
title: Teacher Well-being Survey (Responses).xlsx

description: After the challenges of the Covid-19 pandemic, the NEU (2021) report that one in three teachers plan to leave the profession in the next five years. As previous studies published by the DfE (2016, 2016a, 2016b and 2016c) focusing on workload have not affected the wastage rate of the profession, there is something deeper at work which needs to be explored.A critical theory, mixed method approach is used to gain a breadth and depth of understanding of the attitudes of 55 respondents to a survey and 17 participants in semi-structured interviews. All data collection was carried out in secondary schools in Lincolnshire, where teacher pay is good in comparison to the county average of workforce pay. These methods aim to test the assumption that concerns about workload and pay are causing teachersâ€™ discontent. This data set is for the quantitative surevy second of thw work.
DOI: 10.24385/lincoln.24591090.v1
title: Teacher Well-being Survey (Responses).xlsx

description: After the challenges of the Covid-19 pandemic, the NEU (2021) report that one in three teachers plan to leave the profession in the next five years. As previous studies published by the DfE (2016, 2016a, 2016b and 2016c) focusing on workload have not affected the wastage rate of the profession, there is something deeper at work which needs to be explored.A critical theory, mixed method approach is used to gain a breadth and depth of understanding of the attitudes of 55 respondents to a survey and 17 participants in semi-structured interviews. All data collection was carried out in secondary schools in Lincolnshire, where teacher pay is good in comparison to the county average of workforce pay. These methods aim to test the assumption that concerns about workload and pay are causing teachersâ€™ discontent. This data set is for the quantitative surevy second of thw work.
DOI: 10.5281/zenodo.14973971
title: Dataset Ionic liquid supported hydrogel-lipase biocatalytic systems in asymmetric synthesis of enantiomerically pure S-ibuprofen

description: This work was supported by the National Science Center, Poland, under research grant no. 2023/49/N/ST8/03038.
DOI: 10.5281/zenodo.14973972
title: Dataset Ionic liquid supported hydrogel-lipase biocatalytic systems in asymmetric synthesis of enantiomerically pure S-ibuprofen

description: This work was supported by the National Science Center, Poland, under research grant no. 2023/49/N/ST8/03038.
DOI: 10.5281/zenodo.12758836
title: datasets for the paper "Aggresomes protect mRNA under stress in Escherichia coli"

description: Datasets for our paper entitled "Aggresomes protect mRNA under stress in Escherichia coli"
DOI: 10.5281/zenodo.15728316
title: datasets for the paper "Aggresomes protect mRNA under stress in Escherichia coli"

description: Datasets for our paper entitled "Aggresomes protect mRNA under stress in Escherichia coli"
DOI: 10.15468/dl.aagu2w
title: Occurrence Download

description: A dataset containing 600 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 "Continent is one of (Oceania, Asia)",
 "OccurrenceStatus is Present",
 "TaxonKey is Chrysobalanaceae",
 "Year 1950-2025"
 ]
}

 The dataset includes 600 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067068-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15694667
title: Supplementary training and testing dataset for LargePNet

description: This is the supplementary dataset for LargePNet, containing large-view images captured by widefield, confocal, STED, and SMLM microscopes. 

Besides the self-established datasets, here we also uploaded LargePNet source training data of BioSR and BioTISR datasets to ensure the reproducibility. 

The original BioSR dataset: https://doi.org/10.6084/m9.figshare.13264793

The original BIoTISR dataset: https://doi.org/10.5281/zenodo.13924483
DOI: 10.5281/zenodo.15694668
title: Supplementary training and testing dataset for LargePNet

description: This is the supplementary dataset for LargePNet, containing large-view images captured by widefield, confocal, STED, and SMLM microscopes. 

Besides the self-established datasets, here we also uploaded LargePNet source training data of BioSR and BioTISR datasets to ensure the reproducibility. 

The original BioSR dataset: https://doi.org/10.6084/m9.figshare.13264793

The original BIoTISR dataset: https://doi.org/10.5281/zenodo.13924483
DOI: 10.25405/data.ncl.28359179
title: Single-cell analysed data

description: This folder contains the following files and datasets:Flow Cytometry Data<b>Individual FCS files</b> - Raw data files obtained following segmentation<b>Analysis file (pre-transformation)</b> - Data analysis file before transformation, compatible with FCS Express<b>Analysis file (post-transformation)</b> - Data analysis file after transformation, compatible with FCS Express<b>DNS format files</b> - Processed files analyzed following data transformationStatistical Analysis and Figures<b>Manuscript figures</b> - All figures from the manuscript in GraphPad Prism format, accessible with Numbers, including statistical test resultsData Extraction and Spatial Analysis<b>Cluster percentages</b> - Excel file containing individual cluster percentages extracted from the analysis file<b>Spatial neighborhood data</b> - Excel file with all data used as starting point for spatial neighborhood map generation<b>Spatial interaction maps</b> - ZIP archive containing heatmaps showing spatial interactions between individual clustersPlease see the collection for related records https://doi.org/10.25405/data.ncl.c.7890872
DOI: 10.25405/data.ncl.28359179.v1
title: Single-cell analysed data

description: This folder contains the following files and datasets:Flow Cytometry Data<b>Individual FCS files</b> - Raw data files obtained following segmentation<b>Analysis file (pre-transformation)</b> - Data analysis file before transformation, compatible with FCS Express<b>Analysis file (post-transformation)</b> - Data analysis file after transformation, compatible with FCS Express<b>DNS format files</b> - Processed files analyzed following data transformationStatistical Analysis and Figures<b>Manuscript figures</b> - All figures from the manuscript in GraphPad Prism format, accessible with Numbers, including statistical test resultsData Extraction and Spatial Analysis<b>Cluster percentages</b> - Excel file containing individual cluster percentages extracted from the analysis file<b>Spatial neighborhood data</b> - Excel file with all data used as starting point for spatial neighborhood map generation<b>Spatial interaction maps</b> - ZIP archive containing heatmaps showing spatial interactions between individual clustersPlease see the collection for related records https://doi.org/10.25405/data.ncl.c.7890872