cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.9b6qj3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((110.921 -1.71382, 110.850706 -1.719386, 110.782141 -1.735946, 110.716992 -1.763092, 110.656864 -1.800157, 110.603235 -1.846229, 110.557427 -1.900174, 110.520566 -1.960664, 110.493561 -2.02621, 110.477078 -2.095199, 110.471523 -2.165933, 110.477036 -2.23667, 110.493482 -2.305669, 110.520458 -2.371229, 110.5573 -2.431738, 110.603102 -2.485702, 110.656737 -2.531794, 110.716885 -2.568878, 110.782062 -2.596039, 110.850664 -2.612608, 110.921 -2.618177, 110.991336 -2.612608, 111.059938 -2.596039, 111.125115 -2.568878, 111.185263 -2.531794, 111.238898 -2.485702, 111.2847 -2.431738, 111.321542 -2.371229, 111.348518 -2.305669, 111.364964 -2.23667, 111.370477 -2.165933, 111.364922 -2.095199, 111.348439 -2.02621, 111.321434 -1.960664, 111.284573 -1.900174, 111.238765 -1.846229, 111.185136 -1.800157, 111.125008 -1.763092, 111.059859 -1.735946, 110.991294 -1.719386, 110.921 -1.71382))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002271-260119153935675/datasets/export for details.
DOI: 10.15468/dl.chb42b
title: Occurrence Download

description: A dataset containing 22661 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Synanthedon myopaeformis"
 ]
}

 The dataset includes 22661 records from 141 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002272-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18310496
title: "Scala Mixed-Paradigm Maintainability Metrics" replication package

description: A replication package for “Scala Mixed-Paradigm Maintainability Metrics” (SANER 2026)
DOI: 10.5281/zenodo.18310497
title: "Scala Mixed-Paradigm Maintainability Metrics" replication package

description: A replication package for “Scala Mixed-Paradigm Maintainability Metrics” (SANER 2026)
DOI: 10.15468/dl.wmxthx
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Spiranthes spiralis, Spiranthes spiralis, Spiranthes spiralis, Spiranthes autumnalis)",
 "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 44 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002275-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25403/upresearchdata.31077619
title: Afrikaans-English code-switched sentences with language identification and part-of-speech tags

description: As highlighted in recent surveys, one of the biggest barriers to progress in code-switching (CS) research is the limited availability—both in quantity and quality—of annotated code-switched text (Doğruöz et al., 2023; Mondal et al., 2022). Winata et al. (2022) further show that this issue is particularly acute in the South African context. The survey reports that only a small body of CS research exists for South African languages and that data resources remain limited or absent. Notably, for Afrikaans–English specifically, there are no publicly available code-switched datasets.Traditionally, researchers have relied on naturally occurring CS data from social media, speech recordings and manual or automated transcriptions. While these sources offer authenticity and sociolinguistic richness, they each introduce challenges such as ethical and privacy concerns, noise and inconsistency, costly annotation processes, and domain imbalance. Parallel corpora and substitutive generation methods also offer avenues for artificial CS creation, but for Afrikaans–English these corpora are either highly domain-specific or overly general and do not necessarily reflect naturally occurring switching patterns.Motivated by these limitations, the thesis explores an alternative and increasingly relevant solution: generating synthetic CS data using multilingual large language models (LLMs). A controlled prompting framework is developed using <i>GPT-4o</i> and <i>Gemini 2.0 Flash</i> to produce aligned Afrikaans, English, correct CS and incorrect CS sentences (constituting a sentence set) across diverse topics. In addition to addressing the data scarcity gap, evaluating the quality of synthetically generated sentences remains a challenge. the thesis further aims to develop quality evaluation strategies for synthetic data to be used in language learning applications. For this purpose, word-level language identification (LID) and part-of-speech (POS) tagging are required. Tagging was done using a combination of existing taggers, LLMs and human annotation. The final data set used for training and testing consists of 5750 sets unvalidated sets of sentences and 624 validated sets of sentences, both with LID and POS tags. The validated set is made up of 464 grammar-based sentence sets (sentences that were specifically generated to add diversity to the types of incorrect CS sentences), 60 human-validated sentence sets and 100 gold-standard sets of sentences used for model testing.
DOI: 10.25403/upresearchdata.31077619.v1
title: Afrikaans-English code-switched sentences with language identification and part-of-speech tags

description: As highlighted in recent surveys, one of the biggest barriers to progress in code-switching (CS) research is the limited availability—both in quantity and quality—of annotated code-switched text (Doğruöz et al., 2023; Mondal et al., 2022). Winata et al. (2022) further show that this issue is particularly acute in the South African context. The survey reports that only a small body of CS research exists for South African languages and that data resources remain limited or absent. Notably, for Afrikaans–English specifically, there are no publicly available code-switched datasets.Traditionally, researchers have relied on naturally occurring CS data from social media, speech recordings and manual or automated transcriptions. While these sources offer authenticity and sociolinguistic richness, they each introduce challenges such as ethical and privacy concerns, noise and inconsistency, costly annotation processes, and domain imbalance. Parallel corpora and substitutive generation methods also offer avenues for artificial CS creation, but for Afrikaans–English these corpora are either highly domain-specific or overly general and do not necessarily reflect naturally occurring switching patterns.Motivated by these limitations, the thesis explores an alternative and increasingly relevant solution: generating synthetic CS data using multilingual large language models (LLMs). A controlled prompting framework is developed using <i>GPT-4o</i> and <i>Gemini 2.0 Flash</i> to produce aligned Afrikaans, English, correct CS and incorrect CS sentences (constituting a sentence set) across diverse topics. In addition to addressing the data scarcity gap, evaluating the quality of synthetically generated sentences remains a challenge. the thesis further aims to develop quality evaluation strategies for synthetic data to be used in language learning applications. For this purpose, word-level language identification (LID) and part-of-speech (POS) tagging are required. Tagging was done using a combination of existing taggers, LLMs and human annotation. The final data set used for training and testing consists of 5750 sets unvalidated sets of sentences and 624 validated sets of sentences, both with LID and POS tags. The validated set is made up of 464 grammar-based sentence sets (sentences that were specifically generated to add diversity to the types of incorrect CS sentences), 60 human-validated sentence sets and 100 gold-standard sets of sentences used for model testing.
DOI: 10.15468/dl.59wnnp
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((112.569 -1.71282, 112.498706 -1.718386, 112.430141 -1.734946, 112.364993 -1.762092, 112.304864 -1.799157, 112.251236 -1.845229, 112.205427 -1.899174, 112.168566 -1.959664, 112.141561 -2.02521, 112.125078 -2.094199, 112.119524 -2.164933, 112.125037 -2.23567, 112.141483 -2.304669, 112.168458 -2.370229, 112.2053 -2.430738, 112.251102 -2.484702, 112.304738 -2.530795, 112.364885 -2.567878, 112.430062 -2.595039, 112.498664 -2.611608, 112.569 -2.617177, 112.639336 -2.611608, 112.707938 -2.595039, 112.773115 -2.567878, 112.833262 -2.530795, 112.886898 -2.484702, 112.9327 -2.430738, 112.969542 -2.370229, 112.996517 -2.304669, 113.012963 -2.23567, 113.018476 -2.164933, 113.012922 -2.094199, 112.996439 -2.02521, 112.969434 -1.959664, 112.932573 -1.899174, 112.886764 -1.845229, 112.833136 -1.799157, 112.773007 -1.762092, 112.707859 -1.734946, 112.639294 -1.718386, 112.569 -1.71282))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002276-260119153935675/datasets/export for details.
DOI: 10.5281/zenodo.18310233
title: Deterministic Prediction Scorecard for LHC Vertical Emittance: January 20, 2026

description:  



These predictions are derived from the logic held in the restricted record: 10.5281/zenodo.18294190
DOI: 10.5281/zenodo.18310651
title: Setaria berroi Hack. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:54
DOI: 10.5281/zenodo.18310650
title: Setaria berroi Hack. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:54
DOI: 10.34894/ri0kgv
title: GLOBALISE - Ethnicities, Religious Groups and Castes in the Archives of the Dutch East India Company (1602-1799)

description: This dataset provides information on ethnicities, religious groups and castes which feature in the Dutch East India Company (VOC) archives, as well as in secondary literature which references the geographical and chronological contexts in which the VOC was active. Most of the ethnic, religious and caste categories featuring in this dataset were ascribed to individuals and groups by the VOC, hence in most cases, they do not correspond to the self-identification of the people described. Concepts in this dataset can be intricately linked to histories of (colonial) violence, enslavement and racism, and some terms have been recognised as derogatory, offensive or harmful. Still, the commonplace use of ethnic, religious and caste categories in the VOC archives and the importance of social classification in the Company’s practices make it crucial that users are well informed about the meanings and issues of these categories. This dataset is therefore created to define and contextualise them.&lt;br&gt; We highly recommend users to start with the Documentation and Data-Envelope of the dataset to have an understanding of its background and sensitivity before going into the dataset itself. This dataset should be used for the contextualisation of the VOC archives; we dissuade users from (re)using the data for any other purpose.
description: GLOBALISE Project Datasets
description: Please refer to the dataset's documentation for this information:<br>
- Documentation - Ethnicities, Religious Groups and Castes in the Archives of the Dutch East India Company (1602-1799)
description: Please refer to the dataset's documentation for this information:<br>
- Documentation - Ethnicities, Religious Groups and Castes in the Archives of the Dutch East India Company (1602-1799)
description: Please refer to the dataset's documentation and data-envelope for this information:<br>
- Documentation - Ethnicities, Religious Groups and Castes in the Archives of the Dutch East India Company (1602-1799)<br>
- Data-Envelope - Ethnicities, Religious Groups and Castes in the Archives of the Dutch East India Company (1602-1799)
DOI: 10.6084/m9.figshare.31095493
title: <b>Table S1</b>: List of accession and voucher numbers.

description: The study integrates molecular phylogenetics and species distribution modelling (SDM) to clarify the evolutionary relationships, native versus non-native status, and climate-driven range dynamics of duckweed species in South Africa.
DOI: 10.6084/m9.figshare.31095493.v1
title: <b>Table S1</b>: List of accession and voucher numbers.

description: The study integrates molecular phylogenetics and species distribution modelling (SDM) to clarify the evolutionary relationships, native versus non-native status, and climate-driven range dynamics of duckweed species in South Africa.
DOI: 10.5281/zenodo.18310653
title: Setaria commutata Hack. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:54
DOI: 10.5281/zenodo.18310652
title: Setaria commutata Hack. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:54
DOI: 10.5281/zenodo.18306167
title: Electrochemical and photoelectrochemical oxidation processes for polystyrene microplastic treatment: BDD anode vs Sb-doped SnO2 ceramic anode coated with a CdFe2O4 photocatalytic layer

description: This dataset contains experimental data obtained during the electrochemical and photoelectrochemical degradation of polystyrene (PS) microplastics in aqueous media. Experiments were performed at room temperature using two anode materials: a commercial boron‑doped diamond (BDD) anode and a Sb‑doped SnO₂ ceramic anode coated with a photoactive cadmium ferrite (CdFe₂O₄) layer. The dataset includes the temporal evolution of PS removal efficiency, total organic carbon (TOC) mineralization, kinetic model fitting parameters, raman spectroscopic analysis and specific energy consumption under different applied current intensities (50, 100, and 200 mA) and illumination conditions (dark and visible light).
DOI: 10.5281/zenodo.18306166
title: Electrochemical and photoelectrochemical oxidation processes for polystyrene microplastic treatment: BDD anode vs Sb-doped SnO2 ceramic anode coated with a CdFe2O4 photocatalytic layer

description: This dataset contains experimental data obtained during the electrochemical and photoelectrochemical degradation of polystyrene (PS) microplastics in aqueous media. Experiments were performed at room temperature using two anode materials: a commercial boron‑doped diamond (BDD) anode and a Sb‑doped SnO₂ ceramic anode coated with a photoactive cadmium ferrite (CdFe₂O₄) layer. The dataset includes the temporal evolution of PS removal efficiency, total organic carbon (TOC) mineralization, kinetic model fitting parameters, raman spectroscopic analysis and specific energy consumption under different applied current intensities (50, 100, and 200 mA) and illumination conditions (dark and visible light).
DOI: 10.5281/zenodo.18310655
title: Setaria discolor Hack. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:54
DOI: 10.5281/zenodo.18310656
title: Setaria discolor Hack. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:54
DOI: 10.5281/zenodo.18265267
title: INSTITUTIONAL QUALITY AND DIGITALIZATION AS DETERMINANTS OF ECONOMIC GROWTH IN THE EUROPEAN UNION

description: The dataset contains data pertaining to EU27 member countries used in the research to ascertain the role of digitalization and its impact on economic growth in the EU. The data was collected from various sources like the ITU (for digitalization variables), the UNCTAD stat (for other economic data) and the World Bank's Worldwide Governance Indicators (for data on institutional quality). The data used in the study is from 2004 to 2022 (for consistency).
DOI: 10.5281/zenodo.18310663
title: Setaria dura R.A.W.Herrm. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:54
DOI: 10.5281/zenodo.18310664
title: Setaria dura R.A.W.Herrm. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:54
DOI: 10.5281/zenodo.18265268
title: INSTITUTIONAL QUALITY AND DIGITALIZATION AS DETERMINANTS OF ECONOMIC GROWTH IN THE EUROPEAN UNION

description: The dataset contains data pertaining to EU27 member countries used in the research to ascertain the role of digitalization and its impact on economic growth in the EU. The data was collected from various sources like the ITU (for digitalization variables), the UNCTAD stat (for other economic data) and the World Bank's Worldwide Governance Indicators (for data on institutional quality). The data used in the study is from 2004 to 2022 (for consistency).
DOI: 10.5281/zenodo.18310665
title: Setaria fiebrigii R.A.W.Herrm. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:54
DOI: 10.5281/zenodo.18310666
title: Setaria fiebrigii R.A.W.Herrm. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:54
DOI: 10.15468/dl.pwv5kr
title: Occurrence Download

description: A dataset containing 1079 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Stachys palustris, Stachys palustris)",
 "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 1079 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002277-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cwhgcj
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((150.286 -9.863955000000001, 150.214689 -9.869512, 150.145126 -9.886049, 150.079018 -9.91316, 150.017989 -9.950179, 149.963536 -9.996198, 149.917 -10.050087, 149.879528 -10.110523, 149.852044 -10.176021, 149.835232 -10.244972, 149.829512 -10.315678, 149.835031 -10.386399, 149.851662 -10.455394, 149.879001 -10.520962, 149.916381 -10.581487, 149.962885 -10.635474, 150.017369 -10.68159, 150.078491 -10.718697, 150.144743 -10.745878, 150.214487 -10.76246, 150.286 -10.768033, 150.357513 -10.76246, 150.427257 -10.745878, 150.493509 -10.718697, 150.554631 -10.68159, 150.609115 -10.635474, 150.655619 -10.581487, 150.692999 -10.520962, 150.720338 -10.455394, 150.736969 -10.386399, 150.742488 -10.315678, 150.736768 -10.244972, 150.719956 -10.176021, 150.692472 -10.110523, 150.655 -10.050087, 150.608464 -9.996198, 150.554011 -9.950179, 150.492982 -9.91316, 150.426874 -9.886049, 150.357311 -9.869512, 150.286 -9.863955000000001))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 11 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002278-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4eu6bp
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Terminalia myriocarpa",
 "Year 1960-2010"
 ]
}

 The dataset includes 37 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002279-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7eh6ps
title: Occurrence Download

description: A dataset containing 25007 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Netherlands",
 "OccurrenceStatus is Present",
 "TaxonKey is Fallopia japonica"
 ]
}

 The dataset includes 25007 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002280-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18310386
title: CSO and gold slides