cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/dzgt8z42fk.1
title: Swahili Stopwords

description: A common Swahili stop-words dataset consists of a list of words that do not add significant meaning to sentences. These words can be ignored during text processing tasks without sacrificing the overall meaning and context of the sentences. This dataset is essential for natural language processing (NLP) tasks such as text classification, sentiment analysis, and information retrieval, where removing stop-words can improve performance and efficiency.

Characteristics of Stop-Words:

- High Frequency: Stop-words appear frequently in texts but carry little lexical content.
- Grammatical Role: These words often serve grammatical purposes rather than conveying specific content.
- Non-Discriminative: Stop-words do not help in distinguishing between different classes or categories in text classification tasks.
DOI: 10.17632/dzgt8z42fk.2
title: Swahili Stopwords

description: A common Swahili stop-words dataset consists of a list of words that do not add significant meaning to sentences. These words can be ignored during text processing tasks without sacrificing the overall meaning and context of the sentences. This dataset is essential for natural language processing (NLP) tasks such as text classification, sentiment analysis, and information retrieval, where removing stop-words can improve performance and efficiency.

Characteristics of Stop-Words:

- High Frequency: Stop-words appear frequently in texts but carry little lexical content.
- Grammatical Role: These words often serve grammatical purposes rather than conveying specific content.
- Non-Discriminative: Stop-words do not help in distinguishing between different classes or categories in text classification tasks.
DOI: 10.15468/dl.m7f2rc
title: Occurrence Download

description: A dataset containing 114019 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-5.77231 36.97791,-4.96153 35.99527,-3.14633 36.61938,-3.86031 37.64203,-5.07044 37.60369,-5.77231 36.97791))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 114019 records from 140 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071246-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7483/opendata.cms.7018.171o
title: /VBFHToGG_M85_TuneCP5_13TeV-amcatnlo-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.17632/dzgt8z42fk.3
title: Swahili Stopwords

description: A Swahili stop-words dataset is a curated collection of function words that carry minimal semantic weight and are commonly omitted during text preprocessing in natural language processing (NLP) workflows. These words, while integral to syntactic structure, can be excluded without compromising the overall semantic integrity of textual data. The availability of such a dataset is critical for optimizing NLP tasks, including text classification, sentiment analysis, and information retrieval, as the removal of stop-words reduces dimensionality and computational complexity, thereby enhancing algorithmic efficiency and model performance.

Characteristics of Stop-Words:

- High Frequency: Stop-words appear frequently in texts but carry little lexical content.
- Grammatical Role: These words often serve grammatical purposes rather than conveying specific content.
- Non-Discriminative: Stop-words do not help in distinguishing between different classes or categories in text classification tasks.
DOI: 10.17632/gnwz43kpvz.1
title: Can complementary currencies foster sustainability? A systematic review of the impacts of environmental complementary currencies

description: Replication package - Contain raw data and codes to reproduce results and figures.
DOI: 10.17632/xs4cpv8bxt.1
title: Swahili Verbs (Vitenzi) Dataset

description: The Swahili Verbs Dataset is a comprehensive collection of verbs in the Swahili language, showcasing the rich and agglutinative nature of verb conjugation. Swahili, a Bantu language spoken widely in East Africa, uses a system of prefixes added to the root of a verb to convey different tenses, aspects, moods, and subject agreements.

The dataset is structured to include the root form of each verb along with examples of its conjugated forms across different tenses and with different subjects. Each entry in the dataset provides a detailed breakdown of how prefixes are applied to the verb root.
DOI: 10.7483/opendata.cms.u7vb.2rek
title: /VBFHToGG_M85_TuneCP5_13TeV-amcatnlo-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.17632/rvt89578g5.2
title: Swahili Verb Conjugation Dataset: A Comprehensive Analysis of Agglutination and Verb Structure Across Tenses and Persons

description: This Swahili Verb Conjugation Dataset offers a rich and detailed collection of over 319,156 conjugated verb forms, meticulously compiled to capture the complexity of Swahili’s agglutinative verb morphology. Swahili is known for its rich inflectional system, where verbs are modified by adding prefixes and suffixes to encode grammatical information such as tense, aspect, person, number, and mood.

The dataset consists of a single CSV file, where each row represents a unique verb root (mzizi_wa_neno) and its conjugated forms across multiple dimensions:

Tenses: The dataset captures five core tenses: past, perfect, present, future, and simple present. These tenses play a critical role in Swahili verb conjugation and vary significantly from English tense structures, making this dataset an essential resource for handling these tense markers in NLP tasks.
Persons and Numbers: Conjugations are provided for the 1st, 2nd, and 3rd persons, both singular (umoja) and plural (wingi). Each of these persons is conjugated across the five tenses, providing a comprehensive overview of the morphological changes that occur depending on the subject.
Moods: The dataset includes the habitual mood (hali_ya_mazoea), as well as other modal forms and auxiliary verbs that are part of Swahili’s verb system, such as kum (ability), kuwa (to be), and various hypothetical forms (e.g., ninge, unge, ange for conditional tense).
The columns in the dataset include:

Verb Root (mzizi_wa_neno): The base form of the verb from which all conjugated forms are derived.
Conjugated Forms: These columns represent the verb conjugations for the 1st, 2nd, and 3rd persons, both singular and plural, across all tenses. For example, nafsi_ya_kwanza_umoja_wakati_uliopita refers to the 1st person singular in the past tense.
This dataset not only provides standard conjugations for Swahili verbs but also covers various auxiliary and hypothetical forms. The extensive collection of forms makes this dataset an invaluable resource for researchers interested in Swahili Natural Language Processing (NLP), as it offers the morphological richness needed for tasks like tokenization, lemmatization, and syntactic parsing.

Additionally, this dataset is adaptable for linguistic research beyond computational applications. It can be used to study Swahili verb morphology, tense-aspect systems, and cross-linguistic comparisons with other agglutinative languages.
DOI: 10.17632/xs4cpv8bxt.2
title: Swahili Verbs (Vitenzi) Dataset

description: The Swahili Verbs Dataset is an extensive and systematically curated resource that captures the intricacies of verb morphology in Swahili, a prominent Bantu language spoken across East Africa. Renowned for its agglutinative structure, Swahili employs a complex system of prefixes affixed to verb roots to encode grammatical categories such as tense, aspect, mood, and subject agreement.

This dataset is meticulously organized to include the root form of each verb alongside its fully conjugated variants across multiple tenses and subject agreements. Each dataset entry offers a detailed linguistic analysis, illustrating the application of affixation rules to verb roots, thereby providing valuable insights into the morphological processes underlying Swahili verb conjugation.
DOI: 10.17632/rvt89578g5.3
title: Swahili Verb Conjugation Dataset: A Comprehensive Analysis of Agglutination and Verb Structure Across Tenses and Persons

description: The Swahili Verb Conjugation Dataset is an extensive resource containing over 319,156 meticulously compiled verb forms, designed to capture the intricate agglutinative morphology of Swahili. This Bantu language, widely spoken across East Africa, features a highly developed inflectional system in which verbs are modified through prefixes and suffixes to encode grammatical categories such as tense, aspect, mood, person, and number.

Dataset Overview
The dataset is provided as a single CSV file, with each row representing a unique verb root (mzizi_wa_neno) and its corresponding conjugated forms across various linguistic dimensions:

Tenses
The dataset covers five fundamental tenses—past, perfect, present, future, and simple present—each essential for understanding the temporal structure of Swahili. These tenses exhibit significant differences from their English counterparts, making the dataset particularly valuable for natural language processing (NLP) tasks requiring precise tense handling.

Persons and Numbers
Conjugations are provided for the 1st, 2nd, and 3rd persons in both singular (umoja) and plural (wingi) forms. Each person is conjugated across all five tenses, offering a comprehensive representation of subject-verb agreement in Swahili.

Moods
The dataset incorporates a range of moods, including the habitual mood (hali_ya_mazoea) and various auxiliary and hypothetical forms. These include modal constructs like kum (ability), kuwa (to be), and conditional forms such as ninge, unge, ange.

Dataset Structure
The dataset includes the following columns:

Verb Root (mzizi_wa_neno): The base form from which all conjugated forms are derived.
Conjugated Forms: Columns detailing conjugations for the 1st, 2nd, and 3rd persons in singular and plural forms across all tenses. For example, nafsi_ya_kwanza_umoja_wakati_uliopita specifies the 1st person singular in the past tense.
Applications
This dataset is an invaluable resource for both computational and theoretical linguistic research:

Natural Language Processing: The morphological richness of Swahili verbs makes the dataset particularly suited for NLP tasks, including tokenization, lemmatization, syntactic parsing, and machine translation.
Linguistic Analysis: Researchers can use the dataset to study Swahili’s verb morphology, tense-aspect systems, and comparative analyses with other agglutinative languages.
The dataset’s comprehensive coverage of conjugations, including auxiliary and hypothetical forms, ensures its utility for a wide range of applications, from building robust language models to exploring cross-linguistic phenomena in morphology and syntax.
DOI: 10.7483/opendata.cms.wmc9.obox
title: /VBFHToGG_M90_TuneCP5_13TeV-amcatnlo-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.q9pg.laqh
title: /VBFHToGG_M90_TuneCP5_13TeV-amcatnlo-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.17632/c239nmw6dp.1
title: Data in Brief: Experimental Data Supporting Solubility Model

description: MATLAB data set and code to estimate the diffusion coefficient and hydrogen uptake for cylindrical geometry for electrochemical solubility tests.
DOI: 10.7483/opendata.cms.ztzl.31pv
title: /VBFHToGG_M95_TuneCP5_13TeV-amcatnlo-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.36vq.pa23
title: /VBFHToGG_M95_TuneCP5_13TeV-amcatnlo-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.17632/5bjzxcztpj.1
title: Innovative activities of Activision Blizzard: A patent network analysis (data and graphs)

description: Microsoft's acquisition of Activision Blizzard valued at $68.7 billion ($95 per share) has drastically altered the landscape of the video game industry. At the time of the takeover, the intellectual properties of Activision Blizzard included World of Warcraft, Diablo, Hearthstone, StarCraft, Overwatch, Battle.net, Candy Crush Saga, and Call of Duty. This article aims to explore the patenting activity of Activision Blizzard between 2008 (the original merger) and 2023 (the Microsoft acquisition). Four IPC code co-occurrence networks (co-classification maps) are constructed and analyzed based on the patent data downloaded from the WIPO Patentscope database. International Patent Classification (IPC) codes are a language agnostic system for the classification of patents. When multiple IPC codes co-occur in a patent, it shows that the technologies are connected. These relationships can be used for patent mapping. The analysis identifies the prolific and bridging technologies of Activision Blizzard and explores its synergistic role as a subsidiary of Microsoft Corporation.
DOI: 10.7483/opendata.cms.k206.zf5u
title: /VBFHToMuMuG_M120_Dalitz_TuneCP5_13TeV-amcatnlo-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.17632/tnssmj8gnj.1
title: socio-economic, educational, agricultural, and infrastructure indicators for regional analysis

description: The dataset is organized into four broad categories: socio-economic, education, agriculture and infrastructure, allowing a comprehensive and cross-sectional analysis of regional dynamics in Morocco. Each category includes key indicators, measured at the regional level, with clearly defined units of measurement.
DOI: 10.7483/opendata.cms.qh8e.o5er
title: /VBFHToMuMuG_M120_Dalitz_TuneCP5_13TeV-amcatnlo-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.17632/dtbph5ws5m.1
title: Survey Data from Young Healthcare Professionals in Myanmar on Biopsychosocial Model Adoption

description: This dataset represents the findings of a qualitative study exploring how young healthcare professionals (aged 25-35) in Myanmar implement the biopsychosocial model in their clinical practices. Data were collected through semi-structured interviews, structured surveys, and field observations in rural and underserved healthcare settings. The dataset includes qualitative responses regarding healthcare professionals' perceptions, challenges, and experiences with the model, as well as quantitative data on the frequency of its use across different healthcare roles. The study highlights barriers such as resource constraints, cultural resistance, and lack of training, and provides insights into the impact of the biopsychosocial model on patient care in these settings. This data is intended to support further research on the application of the biopsychosocial approach in low-resource healthcare environments.
DOI: 10.7483/opendata.cms.otre.uijj
title: /VBFHToMuMuG_M120_Dalitz_TuneCP5Down_13TeV-amcatnlo-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.01fb.m0nh
title: /VBFHToMuMuG_M120_Dalitz_TuneCP5Down_13TeV-amcatnlo-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.jsz7.j1yn
title: /VBFHToMuMuG_M120_Dalitz_TuneCP5Up_13TeV-amcatnlo-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.1qa7.2rjs
title: /VBFHToMuMuG_M120_Dalitz_TuneCP5Up_13TeV-amcatnlo-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.9c8d.vdrh
title: /VBFHToMuMuG_M125_Dalitz_TuneCP5_13TeV-amcatnlo-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.r17s.uu49
title: /VBFHToMuMuG_M125_Dalitz_TuneCP5_13TeV-amcatnlo-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.4jg6.0ffo
title: /VBFHToMuMuG_M125_Dalitz_TuneCP5Down_13TeV-amcatnlo-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.zrkt.pj4j
title: /VBFHToMuMuG_M125_Dalitz_TuneCP5Down_13TeV-amcatnlo-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.kzs5.kho7
title: /VBFHToMuMuG_M125_Dalitz_TuneCP5Up_13TeV-amcatnlo-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.e8it.7ibp
title: /VBFHToMuMuG_M125_Dalitz_TuneCP5Up_13TeV-amcatnlo-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.qd3c.ikro
title: /VBFHToMuMuG_M130_Dalitz_TuneCP5Down_13TeV-amcatnlo-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v3/MINIAODSIM
DOI: 10.7483/opendata.cms.knvi.ryhj
title: /VBFHToMuMuG_M130_Dalitz_TuneCP5Down_13TeV-amcatnlo-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.sx1q.vasn
title: /VBFHToMuMuG_M130_Dalitz_TuneCP5Up_13TeV-amcatnlo-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.15468/dl.3v27g4
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lampyris pallida Geisthardt, 1987",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 28 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071257-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/vzbsf357ds.1
title: cAMP in budding yeast: a messenger for sucrose metabolism?

description: Data + analysis scripts for the manuscript "cAMP in budding yeast: a messenger for sucrose metabolism?"
DOI: 10.17632/vzbsf357ds.2
title: cAMP in budding yeast: a messenger for sucrose metabolism?

description: Data + analysis scripts for the manuscript "cAMP in budding yeast: a messenger for sucrose metabolism?"
DOI: 10.6084/m9.figshare.28193975
title: GC-MS

description: The rise of multidrug-resistant pathogens and the emergence of new microbes due to climate change highlight the urgent need for alternative antimicrobials. Plants, as they adapt to environmental shifts, produce diverse metabolites with potent antibacterial properties, offering a sustainable source to combat antibiotic resistance and emerging microbial threats. In this context, Citrullus colocynthis fruits, known for their antimicrobial activity and adaptation to the hot Gulf region, were screened to identify accessions with strong antibacterial activity and distinct metabolic profiles. Rinds and pulps of three accessions were tested for their effectiveness against Staphylococcus aureus and Escherichia coli, with findings showing that most activity came from the fruit rind, not the pulp. Minimum inhibitory concentration (MIC50) tests confirmed the superior antibacterial activity of rind extracts against S. aureus, particularly accession S2, which had an MIC50 of 15.74 µg/ml, outperforming other accessions. Metabolic profiling via GC-MS/MS revealed distinct clusters for rind versus pulp, with unique metabolites such as butyric acid, α-linolenic acid, and β-sitosterol, known for their antimicrobial properties. Enrichment analysis indicated that unsaturated fatty acid biosynthesis and other fatty acid metabolism pathways were enriched in the accession S2 rind, supporting its antibacterial potency. Network analysis pinpointed bacterial fatty acid synthase enzymes (FabZ, FabI, and FabH) as potential S. aureus targets of C. colocynthis rind fatty acids. This selection of accessions with unique adaptability and antimicrobial profiles offers a promising strategy for developing plant-based nutraceuticals to combat multidrug-resistant pathogen.
DOI: 10.17632/v77k4sg7k5.1
title: Supplementary_files

description: File S1 Aerial imagery map indicating the location of the three plant nursery plots used for the survey.
File S2 The raw chromatogram data files of the whole-body wash extracts of Solenopsis invicta workers and the venom of Tetramorium smithi workers.
Video S1 Representative recording of an interspecific aggression test confronting workers of the invasive fire ant Solenopsis invicta against workers of three ant species native to China, Tetramorium smithi, Pheidole noda, and Camponotus pseudoirritans.
Video S2 Representative recording of interspecific aggression of the resident ant Tetramorium smithi against other three ant species: the invasive fire ant Solenopsis invicta, the native Pheidole noda, and the native Camponotus pseudoirritans.
Video S3 Representative recording of intraspecific aggressiveness tests confronting sub-colonies of the same size but different site locations from four ant species obtained from a plant nursery field in China: the invasive fire ant Solenopsis invicta, and the resident native species Tetramorium smithi, Pheidole noda, and Camponotus pseudoirritans.
Video S4 Representative recording of an agression test by confronting a single worker of the native ant Tetramorium smithi against ten workers of the invasive fire ant Solenopsis invicta. Other confrontation proportions were also tested, as well as against different castes of the fire ant.
Video S5 Representative recording of an aggression behavioral test of a single worker of the native ant Tetramorium smithi worker against a single worker of the invasive fire ant Solenopsis invicta worker. Other fire ant worker sizes and castes were likewise tested.
Video S6 Representative recording of an aggression behavioral test of workers of the native ant Tetramorium smithi facing a single queen, sexual alate female (gyne), or a male of the invasive fire ant Solenopsis invicta. Fire ants of different worker sizes were likewise tested.
DOI: 10.17632/zsw6s3v9y4.1
title: Multidimensional Analysis of the Ocean Economy: A Case Study for the Autonomous Region of Madeira, Portugal

description: This dataset contains the interregional Input-Output matrix for the seven regions of Portugal and their 65 sectors in the year of 2017 (Haddad et al., 2023). It also presents the procedure to hypothetically extract the ocean economy of the Autonomous Region of Madeira. If you have any questions or suggestions, please feel free to contact the authors via email.
DOI: 10.17632/gpfdstkzyd.1
title: The impact of emergencies on corruption risks: Italian natural disasters and public procurement

description: This dataset is the replication dataset for the publication: Fazekas, Mihály; Nishchal, Shrey & Soreide, Tina (2025) The impact of emergencies on corruption risks: Italian natural disasters and public procurement. Regulation & Governance.
DOI: 10.17632/92r35ncf3c.1
title: Replication Package for Bryzgalova, Pavlova, and Sikorskaya (2025)

description: This package contains pseudo data and replication code for Bryzgalova, Pavlova, and Sikorskaya (2025), accepted at the Journal of Financial Economics
DOI: 10.17632/6fj7jwzjs9.1
title: Predictive performance of AMH AFC PPOS

description: Predictive performance of AMH AFC in PPOS
DOI: 10.17632/97b544vg2g.1
title: Dataset- Antenatal, Institutional Delivery and Postnatal Care services utilisation in India, National Family Health Survey (NFHS-5,2019-2021) at district level

description: Dataset and Variable Codebook used for the calculation in the paper "Mapping the Association of Self-Help Groups with Utilisation of Maternal Healthcare Services in India"