cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.24uqjy
title: Occurrence Download

description: A dataset containing 338 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Lophoceros nasutus)",
 "Country is one of (Afghanistan, Armenia, Azerbaijan, Bahrain, Bangladesh, Bhutan, Brunei Darussalam, Cambodia, China, Cyprus, Georgia, Hong Kong, India, Indonesia, Iran (Islamic Republic of), Iraq, Israel, Japan, Jordan, Kazakhstan, Korea (Democratic People’s Republic of), Korea, Republic of, Kuwait, Kyrgyzstan, Lao People’s Democratic Republic, Lebanon, Macao, Malaysia, Maldives, Mongolia, Myanmar, Nepal, Oman, Pakistan, Palestine, State of, Philippines, Qatar, Saudi Arabia, Singapore, Sri Lanka, Syrian Arab Republic, Tajikistan, Thailand, Timor-Leste, Türkiye, Turkmenistan, United Arab Emirates, Uzbekistan, Viet Nam, Yemen)"
 ]
}

 The dataset includes 338 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084613-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vmzp2k
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Lophoceros nasutus)",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084615-250717081556266/datasets/export for details.
DOI: 10.15468/dl.kc4euc
title: Occurrence Download

description: A dataset containing 74042 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Calandrella cinerea)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 74042 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084580-250717081556266/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.28876109
title: Dataset.xlsx

description: This research presents a comprehensive, multi-layered cybersecurity framework specifically designed for 5G environments.
DOI: 10.5281/zenodo.7871052
title: Measurements of Natural Radioactivity and Radiological Hazards Assessment in Some Commercial Ceramic Tiles used in Ethiopia.

description: Ceramic tile is a widely used decorative building material. The natural radionuclideconcentration ( 226 Ra, 232 Th, and 40 K) of ceramic wall and floor tiles typically used in Ethiopia was determined using an HPG detector. The study&#39;s goals are to determine the activity concentration of ceramic tiles as well as evaluate their health-related effects. The average activity concentrations of 226 Ra, 232 Th, and 40 K were 68.06 ± 2.07 Bq kg -1 , 131.19 ± 3.82 Bq kg -1 , and 802.04 ± 23.41 Bq kg -1 , respectively, which was found to be greater than the global mean. The calculated average value of Raeq was &lt; 370 Bq kg -1 , which is the limiting dose recommended for bulk medium. In addition, the related radiological hazard metrics, such as absorbed dose, annual effective dose equivalent, excess lifetime cancer risk (ELCR), internal (H in ) and external (H ex ) hazard indexes, gamma index (I γ ), and alpha index (I α ), were determined. The findings were contrasted with regional, global,and national legal frameworks as well as other similar studies&#39; findings. According to the results, using the examined ceramic tiles in buildings does not significantly increase radiation exposure.
description: It also provides benchmark information for radiation assessments of construction materials, notably ceramic tiles. The results will be a significant contribution to understanding how naturally occurring radioactive materials (NORM) used as the basis for building materials like ceramic have high radiation levels.
DOI: 10.5281/zenodo.7871053
title: Measurements of Natural Radioactivity and Radiological Hazards Assessment in Some Commercial  Ceramic Tiles used in Ethiopia.

description: Ceramic tile is a widely used decorative building material. The natural radionuclideconcentration ( 226 Ra, 232 Th, and 40 K) of ceramic wall and floor tiles typically used in Ethiopia was determined using an HPG detector. The study&#39;s goals are to determine the activity concentration of ceramic tiles as well as evaluate their health-related effects. The average activity concentrations of 226 Ra, 232 Th, and 40 K were 68.06 ± 2.07 Bq kg -1 , 131.19 ± 3.82 Bq kg -1 , and 802.04 ± 23.41 Bq kg -1 , respectively, which was found to be greater than the global mean. The calculated average value of Raeq was &lt; 370 Bq kg -1 , which is the limiting dose recommended for bulk medium. In addition, the related radiological hazard metrics, such as absorbed dose, annual effective dose equivalent, excess lifetime cancer risk (ELCR), internal (H in ) and external (H ex ) hazard indexes, gamma index (I γ ), and alpha index (I α ), were determined. The findings were contrasted with regional, global,and national legal frameworks as well as other similar studies&#39; findings. According to the results, using the examined ceramic tiles in buildings does not significantly increase radiation exposure.
description: It also provides benchmark information for radiation assessments of construction materials, notably ceramic tiles. The results will be a significant contribution to understanding how naturally occurring radioactive materials (NORM) used as the basis for building materials like ceramic have high radiation levels.
DOI: 10.15468/dl.mvkqnf
title: Occurrence Download

description: A dataset containing 298818 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "DatasetKey is iNaturalist Research-grade Observations",
 "GadmGid is CAN.9_1",
 "Geometry POLYGON((-80.00316 43.53762,-79.36905 43.53762,-79.36905 43.99903,-80.00316 43.99903,-80.00316 43.53762))"
 ]
}

 The dataset includes 298818 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000475-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.23npna
title: Occurrence Download

description: A dataset containing 771542 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is FrogID"
 ]
}

 The dataset includes 771542 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000474-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e227561v1
title: 2025-China-Eye Tracking Data For Hazard Takeover Study

description: This dataset includes 45 trails of Hazard Takeover Events, which mainly include information flow (TE) of both unidirectional and bidirectional direction.<br> 17subjects (10 males, 7 females, age range:23-64, Mean =37.3, SD=10.6),recruitedfromuniversity, participated
 in this VR experiment.<br><br>In the folder of result:<br> - result index.xlsx: inclued the hazard trigger index, takeover index, and file path.<br>In the folder of TE data:<br> - the calculated transfer entropy result included.<br><br>And two sample codes to calculate information flow and effective TE are provided.<br> - information_flow_takeoer.R (R language)<br> - source_code.ipynb (Python language)<br><br>
description: Response Rates: This dataset includes 45 trails of Hazard Takeover Events, which mainly include information flow (TE) of both unidirectional and bidirectional direction.<br> 17subjects (10 males, 7 females, age range:23-64, Mean =37.3, SD=10.6),recruitedfromuniversity, participated in this VR experiment.
DOI: 10.3886/e227561
title: Investigating Driver Takeover Performance by Using Transfer Entropy: A Study of Information Flow With Gaze Data

description: This dataset includes 45 trails of Hazard Takeover Events, which mainly include information flow (TE) of both unidirectional and bidirectional direction.<br> 17subjects (10 males, 7 females, age range:23-64, Mean =37.3, SD=10.6),recruitedfromuniversity, participated
 in this VR experiment.<br><br>In the folder of result:<br> - result index.xlsx: inclued the hazard trigger index, takeover index, and file path.<br>In the folder of TE data:<br> - the calculated transfer entropy result included.<br><br>And two sample codes to calculate information flow and effective TE are provided.<br> - information_flow_takeoer.R (R language)<br> - source_code.ipynb (Python language)<br><br>
description: Response Rates: This dataset includes 45 trails of Hazard Takeover Events, which mainly include information flow (TE) of both unidirectional and bidirectional direction.<br> 17subjects (10 males, 7 females, age range:23-64, Mean =37.3, SD=10.6),recruitedfromuniversity, participated in this VR experiment.
DOI: 10.3886/e227561v2
title: Investigating Driver Takeover Performance by Using Transfer Entropy: A Study of Information Flow With Gaze Data

description: This dataset includes 45 trails of Hazard Takeover Events, which mainly include information flow (TE) of both unidirectional and bidirectional direction.<br> 17subjects (10 males, 7 females, age range:23-64, Mean =37.3, SD=10.6),recruitedfromuniversity, participated
 in this VR experiment.<br><br>In the folder of result:<br> - result index.xlsx: inclued the hazard trigger index, takeover index, and file path.<br>In the folder of TE data:<br> - the calculated transfer entropy result included.<br><br>And two sample codes to calculate information flow and effective TE are provided.<br> - information_flow_takeoer.R (R language)<br> - source_code.ipynb (Python language)<br><br>
description: Response Rates: This dataset includes 45 trails of Hazard Takeover Events, which mainly include information flow (TE) of both unidirectional and bidirectional direction.<br> 17subjects (10 males, 7 females, age range:23-64, Mean =37.3, SD=10.6),recruitedfromuniversity, participated in this VR experiment.
DOI: 10.5281/zenodo.15284191
title: Dataset for the models trained and tested in the paper "LSTM and Transformer-based framework for bias 2 correction of ERA5 hourly wind speeds"

description: This repository contains the complete dataset used in the preprint. The current files included in the repository are:



A metadata file on the meteorological stations from Environment and Climate Change Canada (ECCC) (ECCC_Stations.csv)

The selected stations from the ECCC database (StationsSelected.csv)

Canada shapefile for plotting (Canada_shpfile)

Wind speed data from ECCC (ECCC_PARQUET)

ERA5 meteorological data interpolated at the ECCC stations (ERA5_PARQUET)

HDF5 dataset ready for model training and testing (H5dataset)

The ID of the training and test stations used in the study (TRAIN_TEST)

The tested parameters of the gradient boosting model (GBParams.json)

The results of the permutation feature importance using gradient boosting (GBFeaturesImportance.json)

The selected static covariates and the best parameters found for the gradient boosting model using random search (GBSelectFeatures.json)

The training stations are divided into six folds for training and validation (kfolds.json)

The scaling factor between ERA5 mean wind speeds and ECCC mean wind speeds (OBS_ScalingFactor.csv)

The value of the static covariates (topography, surface roughness length, etc.) at the station location (staticFeatures.csv)


After downloading, unzip the file and place it in the data folder of the corresponding repository.
DOI: 10.5281/zenodo.15284192
title: Dataset for the models trained and tested in the paper "LSTM and Transformer-based framework for bias 2 correction of ERA5 hourly wind speeds"

description: This repository contains the complete dataset used in the preprint. The current files included in the repository are:



A metadata file on the meteorological stations from Environment and Climate Change Canada (ECCC) (ECCC_Stations.csv)

The selected stations from the ECCC database (StationsSelected.csv)

Canada shapefile for plotting (Canada_shpfile)

Wind speed data from ECCC (ECCC_PARQUET)

ERA5 meteorological data interpolated at the ECCC stations (ERA5_PARQUET)

HDF5 dataset ready for model training and testing (H5dataset)

The ID of the training and test stations used in the study (TRAIN_TEST)

The tested parameters of the gradient boosting model (GBParams.json)

The results of the permutation feature importance using gradient boosting (GBFeaturesImportance.json)

The selected static covariates and the best parameters found for the gradient boosting model using random search (GBSelectFeatures.json)

The training stations are divided into six folds for training and validation (kfolds.json)

The scaling factor between ERA5 mean wind speeds and ECCC mean wind speeds (OBS_ScalingFactor.csv)

The value of the static covariates (topography, surface roughness length, etc.) at the station location (staticFeatures.csv)


After downloading, unzip the file and place it in the data folder of the corresponding repository.
DOI: 10.6084/m9.figshare.28876139
title: Hongoboletus americanus ITS alignment

description: ITS alignment for Hongoboletus americanus
DOI: 10.6084/m9.figshare.28876148
title: SCR_ARTICLE_DATA.xlsx

description: it's a data about SCR and operational performance
DOI: 10.6084/m9.figshare.28876148.v1
title: SCR_ARTICLE_DATA.xlsx

description: it's a data about SCR and operational performance
DOI: 10.15468/dl.su2dkr
title: Occurrence Download

description: A dataset containing 239105 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Belgium",
 "TaxonKey is one of (Aponogeton distachyos L.f., Arthurdendyus triangulatus (Dendy, 1895), Cabomba caroliniana A.Gray, Callosciurus finlaysonii (Horsfield, 1823), Cherax destructor Clark, 1936, Corvus splendens Vieillot, 1817, Crassula helmsii (Kirk) Cockayne, Elodea densa (Planch.) Casp., Eriocheir sinensis H.Milne Edwards, 1853, Erythranthe guttata (DC.) G.L.Nesom, Faxonius immunis (Hagen, 1870), Faxonius juvenilis (Hagen, 1870), Faxonius rusticus (Girard, 1852), Faxonius virilis (Hagen, 1870), Gambusia affinis (Baird & Girard, 1853), Heracleum mantegazzianum Sommier & Levier, Heracleum persicum Desf. ex Fisch., C.A.Mey. & Avé-Lall., Heracleum pubescens (Hoffm.) M.Bieb., Houttuynia cordata Thunb., Hydrocotyle ranunculoides L.f., Impatiens glandulifera Royle, Koenigia polystachya (Wall. ex Meisn.) T.M.Schust. & Reveal, Lagarosiphon major (Ridl.) Moss, Lepomis gibbosus (Linnaeus, 1758), Limnoperna fortunei (Dunker, 1857), Ludwigia grandiflora (Michx.) Greuter & Burdet, Ludwigia peploides (Kunth) P.H.Raven, Lysichiton americanus Hultén & H.St.John, Morone americana (Gmelin, 1789), Muntiacus reevesi (Ogilby, 1839), Myriophyllum aquaticum (Vell.) Verdc., Myriophyllum heterophyllum Michx., Pacifastacus leniusculus (Dana, 1852), Petasites japonicus (Siebold & Zucc.) Maxim., Pontederia cordata L., Procambarus acutus (Girard, 1852), Procambarus clarkii (Girard, 1852), Procambarus virginalis Lyko, 2017, Pseudorasbora parva (Temminck & Schlegel, 1846), Pycnonotus cafer (Linnaeus, 1766), Saururus cernuus L., Sciurus carolinensis Gmelin, 1788, Sciurus niger Linnaeus, 1758, Solenopsis invicta Buren, 1972, Solenopsis richteri Forel, 1909, Threskiornis aethiopicus (Latham, 1790), Vespa velutina Lepeletier, 1836, Zizania latifolia (Griseb.) Hance ex F.Muell.)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 239105 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000470-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15165485
title: QCA-2025-SCC-YK58194 R&D data

description: Project Code: QCA-2025-SCC-YK58194.This project is classified as CONFIDENTIAL. All information, data, and results associated with this project are strictly restricted to authorized personnel only. Any dissemination, distribution, or copying of the project details is strictly prohibited without prior approval from the project lead and the university's Office of Research Compliance.
DOI: 10.5281/zenodo.15165484
title: QCA-2025-SCC-YK58194 R&D data

description: Project Code: QCA-2025-SCC-YK58194.This project is classified as CONFIDENTIAL. All information, data, and results associated with this project are strictly restricted to authorized personnel only. Any dissemination, distribution, or copying of the project details is strictly prohibited without prior approval from the project lead and the university's Office of Research Compliance.
DOI: 10.5281/zenodo.15189752
title: QCA-2025-SCC-YK58194 R&D data

description: Project Code: QCA-2025-SCC-YK58194.This project is classified as CONFIDENTIAL. All information, data, and results associated with this project are strictly restricted to authorized personnel only. Any dissemination, distribution, or copying of the project details is strictly prohibited without prior approval from the project lead and the university's Office of Research Compliance.
DOI: 10.5281/zenodo.15288757
title: QCA-2025-SCC-YK58194 R&D data

description: Project Code: QCA-2025-SCC-YK58194.This project is classified as CONFIDENTIAL. All information, data, and results associated with this project are strictly restricted to authorized personnel only. Any dissemination, distribution, or copying of the project details is strictly prohibited without prior approval from the project lead and the university's Office of Research Compliance.
DOI: 10.5281/zenodo.15288676
title: A substellar flyby that shaped the orbits of the giant planets: dataset

description: Description

This data was used to for the analysis and figures in the accompanying scientific article https://arxiv.org/abs/2412.04583. The code used to analyze this data can be found at https://github.com/zyrxvo/Secular-Origin.
DOI: 10.5281/zenodo.15288677
title: A substellar flyby that shaped the orbits of the giant planets: dataset

description: Description

This data was used to for the analysis and figures in the accompanying scientific article https://arxiv.org/abs/2412.04583. The code used to analyze this data can be found at https://github.com/zyrxvo/Secular-Origin.
DOI: 10.5281/zenodo.14346266
title: A mixed-method in-depth study of test-specific refactorings: dataset

description: This submission is the replication package and dataset of the paper "A mixed-method in-depth study of test-specific refactorings."

The files are organized in folders according to the corresponding method.

Method 1 (Mining datasets) has seven files, two compressed excel sheets and five archive files.

Excel sheets:



Victor Guerra Veloso - Review Matrix.xlsx.zstd: this spreadsheet comprises the data from the related work as it is exported by the scripts from Gerrit2CommitMapper and MethodOneRelatedFiles.tar.zstd. This is also the input file for the association rules experiment

Validation Sample ItemsetsSupport AllLevels FullyMerged.xlsx.zstd: as the name suggests it's a sample of the fully merged output of the association rules experiment. 


Archives:



Gerrit2CommitMapper.tar.zstd contains the Gerrit2CommitMapper script that we applied to Gerrit issues to extract associated commits in the projects' git repositories.

MethodOneRelatedFiles.tar.zstd contains some scripts (as python notebooks) that were used to conduct the method one.

related-work-datasets.tar.zstd contains all the raw datasets from related works

MiningDatasetRMinerOutput.tar.zstd includes the output of RefactoringMiner for each commit in our dataset

TestRefactoringExistingDataMining.tar.zstd comprises the python project we develop to assist the replication of the method 1's association rules experiment. It expects "Victor Guerra Veloso - Review Matrix.xlsx" as input and generate all the association rules for different settings, such as using different algorithms (FPGrowth, FPMax, and Apriori), hyper-parameters (minsupport ranging from 0.01 to 0.15), and transaction granularities (commit-level, file-level, and method-level)


Method 2 (Monitoring) has two compressed text files, one excel sheet, and an archived version of the RefactoringMonitor tool source code. Notice that, RefactoringMonitor includes all components (WebApp, API, and worker), configuration files (docker-compose.yml), and a README.md with instruction for execution.

Text files:



InitialSet: list of repositories initially monitored (based on method 1)

ExtendedSet: list of repositories monitored after collecting popular repositories (based on github search)


Excel sheet: The excel sheet concentrates the result of the Monitoring and Survey as well as the multiple runs of the validation by the second author.

Method 3 (StackOverflow) has one excel sheet and one archive file.

The excel sheet contains the results of the experiment and associates tags to the collected and studied StackOverflow questions.

The archive file comprise all the scripts to collect and assist the analysis of the stackoverflow questions. It also includes both input and output data files. These scripts leverage webbrowser, the Python's standard library feature to open browsers in a specific URL, to iterate over all stackoverflow questions allowing the researcher to assign tags or create new tags.
DOI: 10.15468/dl.pccfxz
title: Occurrence Download

description: A dataset listing the 231 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (EOD – eBird Observation Dataset, iNaturalist Research-grade Observations, Observation.org, Nature data from around the World)",
 "Geometry POLYGON((-73.03215 -28.72238,-73.005 -29.8389,-72.21417 -29.8432,-71.99477 -29.82431,-71.29073 -29.84253,-71.28368 -29.60409,-71.32104 -29.4808,-71.30236 -29.37245,-71.38455 -29.26784,-71.4929 -29.16697,-71.49663 -29.02126,-71.52652 -28.7971,-71.61619 -28.76348,-72.29241 -28.69623,-73.03215 -28.72238))",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves"
 ]
}

 The dataset's 231 records were derived from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000481-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y47f95
title: Occurrence Download

description: A dataset containing 118629 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Macrotis lagotis (Reid, 1837)"
 ]
}

 The dataset includes 118629 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000484-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.