cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17654586
title: SARS-CoV-2 Mutation Burden in Relation to Air Quality Index

description: This study investigates the association between ambient environmental conditions and SARS-CoV-2 nucleotide-level mutation burden across six countries (Bangladesh, Germany, India, Israel, Pakistan, and the USA) from 2020 to 2025. Using 153 whole-genome sequences aligned to Wuhan-Hu-1 (NC_045512.2), we quantified Spike (S) and Nucleocapsid (N) gene divergence and correlated these with satellite-derived (NASA SEDAC) and synthetically modeled (WHO-based) air quality index (AQI) estimates, along with historical temperature data (Open-Meteo).

 

We report a statistically significant inverse global correlation between environmental stress and Spike mutation burden: higher WHO daily AQI (Spearman ρ = –0.485, p < 0.001), NASA annual AQI (ρ = –0.312, p < 0.001), and mean temperature (ρ = –0.404, p < 0.001) are associated with fewer nucleotide substitutions in the Spike gene. In contrast, Nucleocapsid mutations show no consistent association, suggesting protein-specific evolutionary constraints. We acknowledge that Country-stratified analyses reveal no significant within-country signals, likely due to limited temporal resolution and national-level environmental aggregation.

These findings do not establish causality but suggest that environmental factors may modulate viral evolutionary dynamics potentially through reduced transmission duration, accelerated immune clearance, or surveillance biases tied to regional pandemic timing. The dataset, code, and visualizations are provided to support reproducibility and further hypothesis testing.

Our observation of reduced Spike mutation burden in high-AQI/high-temperature regions aligns with biophysical models of viral decay under environmental stress, but may also reflect global disparities in genomic surveillance timing. While we cannot establish causality, the robust global correlation invites mechanistic studies on how air pollution modulates within-host viral evolution.

 

References:



Biryukov et al. (2020) - Temperature/humidity effects on stability

Fauver et al. (2021, Cell) - Global genomic surveillance biases

Méndez et al. (2021) - Pollution and respiratory immunity

van Dorp et al. (2020, Virus Evol) - Mutation rate estimates in SARS-CoV-2
DOI: 10.15468/dl.rkdwnj
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "GadmGid is MEX.27_1",
 "TaxonKey is Agkistrodon russeolus"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046228-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6wp6dk
title: Occurrence Download

description: A dataset containing 3397 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Poland",
 "OccurrenceStatus is Present",
 "TaxonKey is Meles meles"
 ]
}

 The dataset includes 3397 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046229-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4t4xpe
title: Occurrence Download

description: A dataset containing 66 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-114.5688 30.14913, -114.4188 30.14913, -114.4188 30.29913, -114.5688 30.29913, -114.5688 30.14913))"
 ]
}

 The dataset includes 66 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046230-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jcy3hw
title: Occurrence Download

description: A dataset containing 2442 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Poland",
 "OccurrenceStatus is Present",
 "TaxonKey is Martes martes"
 ]
}

 The dataset includes 2442 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046232-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57967/hf/7042
title: i-speak-kanoe
DOI: 10.15468/dl.ecjqgu
title: Occurrence Download

description: A dataset containing 1555 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Poland",
 "OccurrenceStatus is Present",
 "TaxonKey is Martes foina"
 ]
}

 The dataset includes 1555 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046233-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.62prkk
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-114.4188 30.14913, -114.2688 30.14913, -114.2688 30.29913, -114.4188 30.29913, -114.4188 30.14913))"
 ]
}

 The dataset includes 15 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046236-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ypunvh
title: Occurrence Download

description: A dataset containing 2545 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Poland",
 "OccurrenceStatus is Present",
 "TaxonKey is Mustela putorius"
 ]
}

 The dataset includes 2545 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046235-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.raxsm2
title: Occurrence Download

description: A dataset containing 977 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Racopilaceae"
 ]
}

 The dataset includes 977 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046237-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.af9kd6
title: Occurrence Download

description: A dataset containing 482 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Poland",
 "OccurrenceStatus is Present",
 "TaxonKey is Mustela erminea"
 ]
}

 The dataset includes 482 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046238-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a58t7g
title: Occurrence Download

description: A dataset containing 413 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Rhododendron campylogynum Franch."
 ]
}

 The dataset includes 413 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000867-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18174655
title: Replication Data for: A general mocked interface for the coupling library preCICE

description: This is the replication data for the bachelor's thesis "A general mocked interface for the coupling library preCICE" by Julian Harrison-Wirth, written at the IPVS of the University of Stuttgart. It contains all the scripts used in development and the results used in the thesis.

 

Files:Developments_Scripts contains scripts used in development, mainly for compatibility and regression tests,  and example outputs of the scripts

Determinism_Test_Results contains a script used to test the repeatability of the mock's data generationProfiling_Scripts contains scripts to profile and benchmark runs of tutorials against the mock

Benchmark_Results contains the results of two runs of the above script used to measure the runtime of a tutorial using the mock

 

Thesis abstract:

Testing adapters for the preCICE coupling library requires full solver installations and complete coupling workflows, resulting in slow feedback cycles, brittle test environments, and high development overhead. This thesis presents a lightweight mock implementation of the preCICE Participant API that addresses these challenges through configuration parsing, deterministic data modes, and simulation of key lifecycle behaviors. The mock is implemented as a single C++ source file with minimal dependencies and integrated into existing preCICE build systems. The mock enables adapter testing in isolation without external solver dependencies, provides fully reproducible outputs through seeded pseudo-random data generation, and supports both explicit and implicit coupling schemes. Empirical validation demonstrates API compatibility with existing preCICE tutorials and training materials, deterministic behavior across repeated runs, and 2-5$\times$ performance improvements over full coupled simulations. By eliminating most external dependencies and enabling fast, deterministic test execution, the mock facilitates test-driven development practices and integration into continuous integration pipelines.
DOI: 10.5281/zenodo.18174656
title: Replication Data for: A general mocked interface for the coupling library preCICE

description: This is the replication data for the bachelor's thesis "A general mocked interface for the coupling library preCICE" by Julian Harrison-Wirth, written at the IPVS of the University of Stuttgart. It contains all the scripts used in development and the results used in the thesis.

 

Files:Developments_Scripts contains scripts used in development, mainly for compatibility and regression tests,  and example outputs of the scripts

Determinism_Test_Results contains a script used to test the repeatability of the mock's data generationProfiling_Scripts contains scripts to profile and benchmark runs of tutorials against the mock

Benchmark_Results contains the results of two runs of the above script used to measure the runtime of a tutorial using the mock

 

Thesis abstract:

Testing adapters for the preCICE coupling library requires full solver installations and complete coupling workflows, resulting in slow feedback cycles, brittle test environments, and high development overhead. This thesis presents a lightweight mock implementation of the preCICE Participant API that addresses these challenges through configuration parsing, deterministic data modes, and simulation of key lifecycle behaviors. The mock is implemented as a single C++ source file with minimal dependencies and integrated into existing preCICE build systems. The mock enables adapter testing in isolation without external solver dependencies, provides fully reproducible outputs through seeded pseudo-random data generation, and supports both explicit and implicit coupling schemes. Empirical validation demonstrates API compatibility with existing preCICE tutorials and training materials, deterministic behavior across repeated runs, and 2-5$\times$ performance improvements over full coupled simulations. By eliminating most external dependencies and enabling fast, deterministic test execution, the mock facilitates test-driven development practices and integration into continuous integration pipelines.
DOI: 10.5281/zenodo.18238722
title: Joint Stance–Bot Dataset
DOI: 10.5281/zenodo.18299918
title: Joint Stance–Bot Dataset
DOI: 10.5281/zenodo.18298631
title: Santali-English-Bangla Wordlist with POS

description: Dataset summary

This dataset contains 7672 entries of Santali-English-Bangla words with POS tagging.

Access to this dataset is restricted and is only available to authorized users. Permission is required for reuse, redistribution, or citation.

Data structure

Columns:- English: English word- POS: Part-of-speech corresponding to the English word- Santali: Santali word(s)- Bangla: Bangla translation(s)

Methodology / Source

The dataset was curated from linguistic fieldwork and existing lexicons.Santali words were merged and cleaned, and POS tagging was assigned based on English entries.Bangla translations were added and human-reviewed.

File formats:- CSV (UTF-8 encoded)- XLSX (Unicode)

Sample entries:English, POS, Santali, BanglaA, n., Mit̕, Mit̕ṭec̕, Mit̕ṭen, Mit̕ṭaṅ, এক, একটি, একজনAback, to be takan, n., haka, caka, পশ্চাতে, ফিরে, পিছনদিকেAbandon, to, v., bạgi, pạc, teag, পরিত্যাগ করা, বর্জিত করাAbandoned, to be, n., bho̠do̠r, লম্পট, হতচ্ছাড়াAbated, adj., hin, কমান, মন্দীভূতAbility, adj., bhas, butlạk, daṛo, dhe̠j, কর্মদক্ষতাAble, n., lo̠hạni(to be), daṛe, le̠te̠c̕, se̠te̠c̕(to do), সমর্থ

Keywords:Santali, Indigenous Language, Lexicon, Multilingual, Bangla, English, POS tagging, Language Preservation, Wordlist, Linguistic Research

Notes:- This dataset is intended for linguistic research, multilingual NLP applications, and language preservation initiatives.- Some entries may have multiple possible Bangla translations; users should select the contextually relevant one.- The dataset is restricted and accessible only to authorized users. Permission is required for reuse, redistribution, or citation.

 

Citation









Samar M Soren. (2026). Santali-English-Bangla Wordlist with POS (v1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.18298632





Contact

For questions, collaboration, or licensing inquiries:Samar M SorenFounder & Head, Language Resource Hub (LRH)📧 samarsoren@gmail.com

Copyright © 2026 Samar Soren / Language Resource Hub. All rights reserved.
DOI: 10.5281/zenodo.18298632
title: Santali-English-Bangla Wordlist with POS

description: Dataset summary

This dataset contains 7672 entries of Santali-English-Bangla words with POS tagging.

Access to this dataset is restricted and is only available to authorized users. Permission is required for reuse, redistribution, or citation.

Data structure

Columns:- English: English word- POS: Part-of-speech corresponding to the English word- Santali: Santali word(s)- Bangla: Bangla translation(s)

Methodology / Source

The dataset was curated from linguistic fieldwork and existing lexicons.Santali words were merged and cleaned, and POS tagging was assigned based on English entries.Bangla translations were added and human-reviewed.

File formats:- CSV (UTF-8 encoded)- XLSX (Unicode)

Sample entries:English, POS, Santali, BanglaA, n., Mit̕, Mit̕ṭec̕, Mit̕ṭen, Mit̕ṭaṅ, এক, একটি, একজনAback, to be takan, n., haka, caka, পশ্চাতে, ফিরে, পিছনদিকেAbandon, to, v., bạgi, pạc, teag, পরিত্যাগ করা, বর্জিত করাAbandoned, to be, n., bho̠do̠r, লম্পট, হতচ্ছাড়াAbated, adj., hin, কমান, মন্দীভূতAbility, adj., bhas, butlạk, daṛo, dhe̠j, কর্মদক্ষতাAble, n., lo̠hạni(to be), daṛe, le̠te̠c̕, se̠te̠c̕(to do), সমর্থ

Keywords:Santali, Indigenous Language, Lexicon, Multilingual, Bangla, English, POS tagging, Language Preservation, Wordlist, Linguistic Research

Notes:- This dataset is intended for linguistic research, multilingual NLP applications, and language preservation initiatives.- Some entries may have multiple possible Bangla translations; users should select the contextually relevant one.- The dataset is restricted and accessible only to authorized users. Permission is required for reuse, redistribution, or citation.

 

Citation









Samar M Soren. (2026). Santali-English-Bangla Wordlist with POS (v1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.18298632





Contact

For questions, collaboration, or licensing inquiries:Samar M SorenFounder & Head, Language Resource Hub (LRH)📧 samarsoren@gmail.com

Copyright © 2026 Samar Soren / Language Resource Hub. All rights reserved.
DOI: 10.82503/aqora.261.x38pc
title: titanic
DOI: 10.48773/mzv1-hk43
title: Multi stakeholder Collaboration for Net Zero Survey - 2025
DOI: 10.5281/zenodo.18288531
title: Dataset for the study of Brand Placement in Music Videos: Artists, Featurings, Brands and Products Appearances the Billboard Hot 100 from 2003 to 2016

description: This dataset served as the basis for the article by Sánchez-Olmos, C., & Castelló-Martínez, A. (2020). Brand Placement in Music Videos: Artists, Brands and Products Appearances in the Billboard Hot 100 from 2003 to 2016. Journal of Promotion Management, 26(6), 874–892. https://doi.org/10.1080/10496491.2020.1745986.

The dataset consisted of the top 30 positions in the annual Billboard Hot 100 rankings from 2003 to 2016, totalling 420 music videos. From this dataset, brand and product placements by artists during this period were examined. In accordance with the study's objectives, the variables analysed included artist name, ft., song title, product or service type, and brand name.

The unit of analysis was the entire music video. Each appearance of a brand, product, or service—whether seen, mentioned, or used—was registered. An experienced coder recorded all videos using a shared set of variables developed by the research team, including artist name, song title, product or service, and brand name. The sample was coded and revised over three months in 2017, from September to November. Brands were identified by visible logos, recognisable features such as Adidas's triple-stripe pattern or Christian Louboutin's red soles, and thorough online research. The criteria included any identifiable branded consumer product, excluding firearms. Non-branded generic items and non-consumer products were excluded from the analysis. In some cases, the brand could not be identified; therefore, this variable was coded using the symbol “?”. However, the product variable was always recorded based on the item represented in the video.
DOI: 10.5281/zenodo.18288532
title: Dataset for the study of Brand Placement in Music Videos: Artists, Featurings, Brands and Products Appearances the Billboard Hot 100 from 2003 to 2016

description: This dataset served as the basis for the article by Sánchez-Olmos, C., & Castelló-Martínez, A. (2020). Brand Placement in Music Videos: Artists, Brands and Products Appearances in the Billboard Hot 100 from 2003 to 2016. Journal of Promotion Management, 26(6), 874–892. https://doi.org/10.1080/10496491.2020.1745986.

The dataset consisted of the top 30 positions in the annual Billboard Hot 100 rankings from 2003 to 2016, totalling 420 music videos. From this dataset, brand and product placements by artists during this period were examined. In accordance with the study's objectives, the variables analysed included artist name, ft., song title, product or service type, and brand name.

The unit of analysis was the entire music video. Each appearance of a brand, product, or service—whether seen, mentioned, or used—was registered. An experienced coder recorded all videos using a shared set of variables developed by the research team, including artist name, song title, product or service, and brand name. The sample was coded and revised over three months in 2017, from September to November. Brands were identified by visible logos, recognisable features such as Adidas's triple-stripe pattern or Christian Louboutin's red soles, and thorough online research. The criteria included any identifiable branded consumer product, excluding firearms. Non-branded generic items and non-consumer products were excluded from the analysis. In some cases, the brand could not be identified; therefore, this variable was coded using the symbol “?”. However, the product variable was always recorded based on the item represented in the video.
DOI: 10.15468/dl.29qupq
title: Occurrence Download

description: A dataset containing 4022 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Folsomia candida, Hypogastrura socialis, Entomobrya nicoleti, Sminthurus viridis)",
 "OccurrenceStatus is one of (Present)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 },
 "Year is greater than or equal to 1970"
 ]
}

 The dataset includes 4022 records from 169 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020399-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ggbfns
title: Occurrence Download

description: A dataset containing 58 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cerinthe alpina, Cerinthe alpina, Cerinthe alpina, Cerinthe glabra, Cerinthe glabra, Cerinthe glabra)",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "Year is greater than or equal to 2010",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 50",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 58 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020401-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/8833800b-6440-444a-bbef-4c19f1a31323
title: Dataset of Nutrient Navigator - Interactive Tool for Agriculture-Induced Nutrient Loading to Water Systems

description: <strong>The Nutrient Navigator is an online tool that </strong>combines scientific data with an interactive global map to visualise how much nitrogen and phosphorus applied on agricultural fields typically end up in freshwater systems. Developed by the Water Footprint Network, University of Twente, and The Science Based Targets Network, the intended audience are organisations seeking to understand where nutrient pollution occurs, set science-based water quality targets, and reduce their water footprint. <br>The estimates displayed in the Nutrient Navigator are based on global modelling studies by Mekonnen and Hoekstra (2015 [https://doi.org/10.1021/acs.est.5b03191], 2018 [https://doi.org/10.1002/2017WR020448]), who quantified diffuse agricultural N and P loads for 126 crops at high spatial resolution (5 x 5 arc minutes) using soil balance and surplus approaches. While these datasets represent state-of-the-art scientific modelling, they contain uncertainties stemming from assumptions, variable input data, and spatial variability. To reduce these uncertainties, the Nutrient Navigator aggregates the original data to sub-catchments and crop groups. Users are encouraged to consult the source studies to better understand specific limitations. The tool also provides crop group definitions corresponding to FAOSTAT crop codes via the accompanying dataset.