cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18335923
title: Datasets Supporting the Study of Air Pollution in India

description: This repository contains the primary datasets generated and analysed for the study on air pollution perception, behavioural response, and policy effectiveness in the National Capital Region (NCR) of Delhi.

The dataset collection consists of four Excel files corresponding to distinct stakeholder perspectives and observational layers:

D1 – Resident-level survey data capturing perception of air quality, health impact awareness, risk tolerance, behavioural adaptation (mask usage, mobility reduction), and trust in policy interventions.

D2 – Business and transport-sector survey data documenting compliance behaviour, economic impact of air pollution control measures, adaptive strategies, and regulatory response patterns.

D3 – Community and institutional perception dataset assessing enforcement visibility, public confidence in regulatory agencies, and perceived effectiveness of pollution control policies.

D4 – Field observation dataset recording on-ground indicators such as pollution visibility, enforcement presence, signage, traffic density, and episodic smog intensity across selected locations.

Due to documented constraints in large-scale, continuous urban data collection—including access limitations, respondent fatigue, and temporal variability in pollution exposure—controlled interpolation techniques were applied selectively for experimental completeness and comparative analysis. Interpolations were performed conservatively, preserving empirical distribution properties and avoiding distortion of observed trends.

These datasets support the empirical analysis, hypothesis testing, and policy framework development presented in the associated manuscript on Delhi air pollution governance and adoption of mitigation behaviours.
DOI: 10.5281/zenodo.18335924
title: Datasets Supporting the Study of Air Pollution in India

description: This repository contains the primary datasets generated and analysed for the study on air pollution perception, behavioural response, and policy effectiveness in the National Capital Region (NCR) of Delhi.

The dataset collection consists of four Excel files corresponding to distinct stakeholder perspectives and observational layers:

D1 – Resident-level survey data capturing perception of air quality, health impact awareness, risk tolerance, behavioural adaptation (mask usage, mobility reduction), and trust in policy interventions.

D2 – Business and transport-sector survey data documenting compliance behaviour, economic impact of air pollution control measures, adaptive strategies, and regulatory response patterns.

D3 – Community and institutional perception dataset assessing enforcement visibility, public confidence in regulatory agencies, and perceived effectiveness of pollution control policies.

D4 – Field observation dataset recording on-ground indicators such as pollution visibility, enforcement presence, signage, traffic density, and episodic smog intensity across selected locations.

Due to documented constraints in large-scale, continuous urban data collection—including access limitations, respondent fatigue, and temporal variability in pollution exposure—controlled interpolation techniques were applied selectively for experimental completeness and comparative analysis. Interpolations were performed conservatively, preserving empirical distribution properties and avoiding distortion of observed trends.

These datasets support the empirical analysis, hypothesis testing, and policy framework development presented in the associated manuscript on Delhi air pollution governance and adoption of mitigation behaviours.
DOI: 10.6084/m9.figshare.31123492
title: Fagus hohenackeriana chorology

description: Distribution map of <i>Fagus hohenackeriana</i>.These maps were produced by combining numerous and heterogeneous data collected from atlas monographs providing complete species distribution maps, from national to regional atlases, occurrence geo-databases, scientific and grey literature. The maps were created using ESRI shapefiles (*.shp, *.shx, *.dbf, *.prj files) archived in the ZIP file. Species range is mapped with polygon features (name suffix "plg"), which define continuous areas of occupancy of the species, and with point features (name suffix "pnt"), which identify more fragmented and isolated populations. If synanthropic occurrences are reported outside the species natural range, additional point and/or polygon shapefiles are also present (suffix "syn"). Polygon borders delimiting species ranges are generalized across the mainland and sea boundaries. This offers the possibility to mask sea areas or to clip and extract the terrestrial range parts using GIS data layers of the users' choice. An additional version of polygon ranges are clipped with a coastline (name suffix "clip"), which have been derived from Natural Earth dataset "Admin 0 - Countries" 1:50M version 4.1.0 (https://www.naturalearthdata.com).Please cite as: Caudullo, G., Welk, E., San-Miguel-Ayanz, J., 2017. Chorological maps for the main European woody species. Data in Brief 12, 662-666. DOI: doi.org/10.1016/j.dib.2017.05.007Additional information and used references are on 'supplementary materials' document: https://doi.org/10.6084/m9.figshare.5091901Chorological maps are part of the "European Atlas of Forest Tree Species" project: https://w3id.org/mtv/FISE-Comm/v01
DOI: 10.6084/m9.figshare.31123492.v1
title: Fagus hohenackeriana chorology

description: Distribution map of <i>Fagus hohenackeriana</i>.These maps were produced by combining numerous and heterogeneous data collected from atlas monographs providing complete species distribution maps, from national to regional atlases, occurrence geo-databases, scientific and grey literature. The maps were created using ESRI shapefiles (*.shp, *.shx, *.dbf, *.prj files) archived in the ZIP file. Species range is mapped with polygon features (name suffix "plg"), which define continuous areas of occupancy of the species, and with point features (name suffix "pnt"), which identify more fragmented and isolated populations. If synanthropic occurrences are reported outside the species natural range, additional point and/or polygon shapefiles are also present (suffix "syn"). Polygon borders delimiting species ranges are generalized across the mainland and sea boundaries. This offers the possibility to mask sea areas or to clip and extract the terrestrial range parts using GIS data layers of the users' choice. An additional version of polygon ranges are clipped with a coastline (name suffix "clip"), which have been derived from Natural Earth dataset "Admin 0 - Countries" 1:50M version 4.1.0 (https://www.naturalearthdata.com).Please cite as: Caudullo, G., Welk, E., San-Miguel-Ayanz, J., 2017. Chorological maps for the main European woody species. Data in Brief 12, 662-666. DOI: doi.org/10.1016/j.dib.2017.05.007Additional information and used references are on 'supplementary materials' document: https://doi.org/10.6084/m9.figshare.5091901Chorological maps are part of the "European Atlas of Forest Tree Species" project: https://w3id.org/mtv/FISE-Comm/v01
DOI: 10.5281/zenodo.18336165
title: QANDLI DIABET 2-TUR BEMORLARDA GLIKEMIK KOMPENSATSIYANI BAHOLASH

description: Tezisda 2-toifa qandli diabet bilan og‘rigan bemorlarda glikemik kompensatsiya darajasi tahlil qilinadi. Tadqiqotda qand miqdori va glyukoza darajasini nazorat qilish, shuningdek, glikemik indeks va HbA1c ko‘rsatkichlari asosida bemorlarning kompensatsiya holati baholanadi. Natijalar shuni ko‘rsatadiki, bemorlarning kundalik nazorati va individual davolash strategiyalari glikemik barqarorlikni ta’minlashda muhim ahamiyatga ega.
DOI: 10.5281/zenodo.18336166
title: QANDLI DIABET 2-TUR BEMORLARDA GLIKEMIK KOMPENSATSIYANI BAHOLASH

description: Tezisda 2-toifa qandli diabet bilan og‘rigan bemorlarda glikemik kompensatsiya darajasi tahlil qilinadi. Tadqiqotda qand miqdori va glyukoza darajasini nazorat qilish, shuningdek, glikemik indeks va HbA1c ko‘rsatkichlari asosida bemorlarning kompensatsiya holati baholanadi. Natijalar shuni ko‘rsatadiki, bemorlarning kundalik nazorati va individual davolash strategiyalari glikemik barqarorlikni ta’minlashda muhim ahamiyatga ega.
DOI: 10.5281/zenodo.18335829
title: The dataset for "An empirical study of neural network based graph representations for software defect prediction" experiment

description: The dataset for "An empirical study of neural network based graph representations for software defect prediction" experiment
DOI: 10.5281/zenodo.18335830
title: The dataset for "An empirical study of neural network based graph representations for software defect prediction" experiment

description: The dataset for "An empirical study of neural network based graph representations for software defect prediction" experiment
DOI: 10.15468/dl.nxws4s
title: Occurrence Download

description: A dataset containing 9762269 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Trachurus murphyi, Esox lucius, Merlangius merlangus, Sprattus sprattus, Pleuronectes platessa, Hippoglossoides platessoides, Limanda limanda, Salvelinus alpinus, Myoxocephalus octodecemspinosus, Xiphias gladius, Scyliorhinus canicula, Abramis brama, Merluccius bilinearis, Merluccius australis, Beryx splendens, Hoplostethus atlanticus, Platichthys flesus, Gymnocephalus cernua, Squalus acanthias, Merluccius merluccius, Macruronus magellanicus, Barbus barbus)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 9762269 records from 1348 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004593-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2jfg5m
title: CCDC 2336630: Experimental Crystal Structure Determination

description: Related Article: Nathan Romero, Mason Cooper, Ritchie Hernandez
|2026|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.21227/7pbq-gs45
title: "Sentiment Analysis of Commit Messages and its Relationship to Bug-Inducing Code Changes"

description: "This dataset is a collection of 90482 commits for 12 Apache open source projects where the buggy and fix labels belong to the ApacheJIT dataset. It contains 13 columns whose description is summarized as follows:commit_id : this column contains the hash code of the commit.project : this columns contains the project name to which the commit belong.buggy : this binary column contains the labels for the bug status (presence\/absence) in commits where False represents absence of the bugs and True represents the presence of the bugs.fix : this column is binary and holds two values (False, True). The True value is given to commits that fix some other buggy commits and False, otherwise.author_name : this column contains the name of the author of the commit extracted from Github.author_email : this column contains the email address of the author of the commit extracted from Github.committer_name : this column contains the name of the committer of the commit extracted from Github. In Github, we differentiate between the author who originally wrote the commit, and the committer who last applied the commit to the repository.committer_email : this column contains the email address of the committer of the commit extracted from Github.msg : this column contains the messages of the commits.pos : this column contains the score given to the positive component of the sentiment by SentiStrength-SE tool.neg : this column contains the score given to the negative component of the sentiment by SentiStrength-SE tool.polarity : this column contains the overall sentiment score calculated as the algebraic sum of the scores pos and neg.developer : this column contains the developer ID assigned to each commit author based on the results of Connected Component Analysis of the author emails and names. "
DOI: 10.5281/zenodo.17787288
title: Open Science Artifact - FedOverlap: A Federated Weight Overlap Approach to Model Repair in Federated Learning

description: This package contains the codebase for FedOverlap and the results of the experiments reported in the paper "FedOverlap: A Federated Weight Overlap Approach to Model Repair in Federated Learning", which is currently under revision.

The package contains the following file: 



README.md: Instructions to reproduce the entire study pipeline. Please refer to this file to run the experiments with FedOverlap and FedRepair;

main.py: The script to run both FedOverlap and FedRepair approaches;

sensitive-analysis-rq5.py: The script to run the sensitive analysis (RQ5) on FedOverlap;

Preliminary_Analysis.ipynb: A Jupyter notebook for Section 5.1 (Preliminary Analysis), used to (i) analyze per-class performance after baseline federated training and (ii) select the target classes and experimental parameters for the repair study.

Paper_Figures.ipynb: A Jupyter notebook file for pre-processing the results of the experiments and generating the plots of the paper;

img/: Folder for saving the output plots and tables present in the paper;

Paper Results/: Folder containing the .csv files with the results of the experiments.
DOI: 10.5281/zenodo.17787289
title: Open Science Artifact - FedOverlap: A Federated Weight Overlap Approach to Model Repair in Federated Learning

description: This package contains the codebase for FedOverlap and the results of the experiments reported in the paper "FedOverlap: A Federated Weight Overlap Approach to Model Repair in Federated Learning", which is currently under revision.

The package contains the following file: 



README.md: Instructions to reproduce the entire study pipeline. Please refer to this file to run the experiments with FedOverlap and FedRepair;

main.py: The script to run both FedOverlap and FedRepair approaches;

sensitive-analysis-rq5.py: The script to run the sensitive analysis (RQ5) on FedOverlap;

Preliminary_Analysis.ipynb: A Jupyter notebook for Section 5.1 (Preliminary Analysis), used to (i) analyze per-class performance after baseline federated training and (ii) select the target classes and experimental parameters for the repair study.

Paper_Figures.ipynb: A Jupyter notebook file for pre-processing the results of the experiments and generating the plots of the paper;

img/: Folder for saving the output plots and tables present in the paper;

Paper Results/: Folder containing the .csv files with the results of the experiments.
DOI: 10.15468/dl.7g37wk
title: Occurrence Download

description: A dataset containing 332 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ambystoma mexicanum",
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 }
 ]
}

 The dataset includes 332 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004693-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17688973
title: Tabel Kuisioner Olah Data Aplikasi Mobile Banking BNI
DOI: 10.5281/zenodo.17688974
title: Tabel Kuisioner Olah Data Aplikasi Mobile Banking BNI
DOI: 10.3886/e237283v3
title: ECIN Replication Package for "Dynamics and Sources of Wage Inequality in Taiwan: Evidence from Employer-Employee Matched Data"

description: This paper studies the decline in wage inequality in Taiwan from 2004 to 2019 using administrative employer-employee matched data and the Abowd-Kramarz-Margolis (AKM) framework. Unlike the U.S. and Europe, Taiwan experienced an 8.4% drop in wage inequality, driven largely by reductions in within-firm disparities. Minimum wage hikes likely contributed to this compression, as lower-tail inequality declined due to faster earnings growth among low-wage workers, while upper-tail inequality remained relatively stable. AKM estimates, robust to bias correction, indicate that firm-specific wage premiums account for a small share of inequality, while worker-firm sorting has become increasingly important in explaining wage dispersion.
DOI: 10.15468/dl.xmdyve
title: Occurrence Download

description: A dataset containing 8653 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "TaxonKey is Trichonephila clavata",
 "Year 2021-2025"
 ]
}

 The dataset includes 8653 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004072-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30689014
title: An empirical power comparison of directional goodness-of-fit tests for 2-PL IRT model under different intercept patterns

description: This study investigates the impact of intercept patterns, including symmetric, asymmetric, zeros on the performance of Lagrange Multiplier (LM) tests in two-parameter item-response theory (2-PL IRT) models, comparing it with three other directional goodness-of-fit tests on empirical Type I error rates and power. A series of simulation results show that intercept patterns significantly affect test performance, with zero intercepts yielding the highest power; LM has the best performance that excels in controlling Type I error rates and has higher empirical power. The application to fraction subtraction data confirms LM's efficacy in detecting local dependence under sparsity. The findings offer methodological insights for goodness-of-fit testing under model misspecification.
DOI: 10.6084/m9.figshare.30689014.v1
title: An empirical power comparison of directional goodness-of-fit tests for 2-PL IRT model under different intercept patterns

description: This study investigates the impact of intercept patterns, including symmetric, asymmetric, zeros on the performance of Lagrange Multiplier (LM) tests in two-parameter item-response theory (2-PL IRT) models, comparing it with three other directional goodness-of-fit tests on empirical Type I error rates and power. A series of simulation results show that intercept patterns significantly affect test performance, with zero intercepts yielding the highest power; LM has the best performance that excels in controlling Type I error rates and has higher empirical power. The application to fraction subtraction data confirms LM's efficacy in detecting local dependence under sparsity. The findings offer methodological insights for goodness-of-fit testing under model misspecification.
DOI: 10.13140/rg.2.2.24578.75206
title: mitigation of weathering
DOI: 10.34740/kaggle/dsv/13839330
title: Soyabean 4 Class Leaf Disease Dataset
DOI: 10.15468/dl.6p8xwu
title: Occurrence Download

description: A dataset containing 4512014 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "GadmGid is one of (ISR, PSE)",
 "Year 2019-2025"
 ]
}

 The dataset includes 4512014 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004057-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.geeqgx
title: Occurrence Download

description: A dataset containing 33789 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is TOPP Albatrosses 2002-06"
 ]
}

 The dataset includes 33789 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004074-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/30313
title: Chandra X-ray Observatory ObsId 30313

description: The sounds of feedback: deep and wide imaging of the cool core of the Perseus cluster
DOI: 10.34740/kaggle/dsv/13839378
title: cctv-weapon-dataset
DOI: 10.25574/31451
title: Chandra X-ray Observatory ObsId 31451

description: ACIS GTO: Chandra's Legacy Sample of Relaxed and Cool-Core Clusters
DOI: 10.15468/dl.38duwb
title: Occurrence Download

description: A dataset containing 25405822 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 2010-2025"
 ]
}

 The dataset includes 25405822 records from 1228 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004069-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/32007
title: Chandra X-ray Observatory ObsId 32007

description: The sounds of feedback: deep and wide imaging of the cool core of the Perseus cluster
DOI: 10.15468/dl.ncm2kg
title: Occurrence Download

description: A dataset containing 73262 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thalassarche chrysostoma"
 ]
}

 The dataset includes 73262 records from 125 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004050-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30689009
title: Transcriptome of Myogenic Stem Cells from a Porcine Duchenne Muscular Dystrophy Model.

description: We collected <i>intercostalis</i> (<i>INT</i>) and <i>pectoralis</i> (<i>PECT</i>) muscle biopsies from WT, DMD, and HET pigs at two developmental stages (fetal and 3 days postnatal) and subsequently isolated SC. We cultivated SC <i>in vitro</i> free from the influence of their dystrophic environment, thus allowing us to detect cell-intrinsic changes. RNA was extracted from SC at pre-contractile stages of myogenesis before the development of a contraction-related machinery. RNA sequencing was performed using the Illumina NextSeq550Dx platform, and the resulting dataset was deposited at the NCBI’s Gene Expression Omnibus (GEO) repository with the GEO Series accession numbers GSE287756 and at ArrayExpress, maintained by the European Bioinformatics Institute (EMBL-EBI), with the accession number E-MTAB-16179.
DOI: 10.6084/m9.figshare.30689009.v1
title: Transcriptome of Myogenic Stem Cells from a Porcine Duchenne Muscular Dystrophy Model.

description: We collected <i>intercostalis</i> (<i>INT</i>) and <i>pectoralis</i> (<i>PECT</i>) muscle biopsies from WT, DMD, and HET pigs at two developmental stages (fetal and 3 days postnatal) and subsequently isolated SC. We cultivated SC <i>in vitro</i> free from the influence of their dystrophic environment, thus allowing us to detect cell-intrinsic changes. RNA was extracted from SC at pre-contractile stages of myogenesis before the development of a contraction-related machinery. RNA sequencing was performed using the Illumina NextSeq550Dx platform, and the resulting dataset was deposited at the NCBI’s Gene Expression Omnibus (GEO) repository with the GEO Series accession numbers GSE287756 and at ArrayExpress, maintained by the European Bioinformatics Institute (EMBL-EBI), with the accession number E-MTAB-16179.
DOI: 10.34740/kaggle/dsv/13839403
title: cctv-weapon-dataset