cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14559348
title: THE  METHODOLOGY OF LANGUAGE LEARNING THROUGH ARTIFICIAL INTELLIGENCE

description: This article explores the methodology of language learning through Artificial Intelligence (AI), highlighting how AI technologies such as personalized learning platforms, adaptive algorithms, and natural language processing (NLP) enhance traditional language acquisition techniques. The paper delves into the role of AI in creating customized, efficient learning experiences, improving language retention, and aligning with cognitive principles like spaced repetition and cognitive load management. It also addresses the potential future of AI in language learning, including the integration of augmented reality (AR) and virtual reality (VR) for immersive language experiences.
DOI: 10.15468/dl.fxuuq7
title: Occurrence Download

description: A dataset containing 403306 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Leptonychotes weddellii (Lesson, 1826)",
 "Year 1000-2024"
 ]
}

 The dataset includes 403306 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049315-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cn74h2
title: Occurrence Download

description: A dataset containing 122494 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Netherlands",
 "TaxonKey is Isopoda"
 ]
}

 The dataset includes 122494 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049316-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.5575217
title: CRPA incremental taxonomy

description: AI-RPA taxonomy generated following the proposal of an automatic generation method of an incremental taxonomy for Supporting the Users in the Development of an RPA Project


An AI-RPA taxonomy  AI-RPAT = (KnowlSources, TaxCategs, CategoryTerms, CategoryChars, InputFormatSupported, OutputFormat) consists of



	
KnowlSources: a set of tuples (source_{id},source_{name}) which contains a unique id in the $AI-RPAT$, and the name of the knowledge source.
	
 TaxCategs: a set of tuples (taxCategory_{id}, taxCategory_{name}, parentTaxCateg_{id}) which contains a unique id, a name and the id of its parent category for each taxonomic category. % i.e., the category term that stands as the representative of the others. The $TaxCategs$ correspond to the tree nodes, not the $CategoryTerms$.
	
    CategoryTerms: a set of tuples (categoryTerm_{id}, categoryTerm_{name}, categoryTerm_{isRepresentative}, source_{id}, taxCategory_{id}) which contains a unique id, the name of the category (that is given by the knowledge source), a boolean that shows whether it corresponds to the category term of a taxonomic category (i.e., whether it represents to the rest of the category terms defined as equivalent terms), an id of the related knowledge source in $KnowlSources$, and an id of a taxonomic category in TaxCategs. The latter aims to keep synonymous relationships.
	
    CategoryChars: a set of tuples (categoryChars_{id}, categoryChars_{description}, categoryTerm_{id}) which contains a unique id, the description of the characteristics that must be fulfilled by a component to belong to this category, and an id of the related category in CategoryTerms.
	
    Input Format Supported: a set of tuples (inputFormSup_{id}$, $inputFormSup_{name}$, $categoryTerm_{id}) which contains a unique id, the name of the input type that can support the related category and id of such category.
	
    Output Format: a set of tuples (outputFormSup_{id}, outputFormSup_{name}, categoryTerm_{id}) which contains a unique id, the name of the output type that can support the related category and the id of such category.
DOI: 10.5281/zenodo.5575218
title: CRPA incremental taxonomy

description: AI-RPA taxonomy generated following the proposal of an automatic generation method of an incremental taxonomy for Supporting the Users in the Development of an RPA Project


An AI-RPA taxonomy  AI-RPAT = (KnowlSources, TaxCategs, CategoryTerms, CategoryChars, InputFormatSupported, OutputFormat) consists of



	
KnowlSources: a set of tuples (source_{id},source_{name}) which contains a unique id in the $AI-RPAT$, and the name of the knowledge source.
	
 TaxCategs: a set of tuples (taxCategory_{id}, taxCategory_{name}, parentTaxCateg_{id}) which contains a unique id, a name and the id of its parent category for each taxonomic category. % i.e., the category term that stands as the representative of the others. The $TaxCategs$ correspond to the tree nodes, not the $CategoryTerms$.
	
    CategoryTerms: a set of tuples (categoryTerm_{id}, categoryTerm_{name}, categoryTerm_{isRepresentative}, source_{id}, taxCategory_{id}) which contains a unique id, the name of the category (that is given by the knowledge source), a boolean that shows whether it corresponds to the category term of a taxonomic category (i.e., whether it represents to the rest of the category terms defined as equivalent terms), an id of the related knowledge source in $KnowlSources$, and an id of a taxonomic category in TaxCategs. The latter aims to keep synonymous relationships.
	
    CategoryChars: a set of tuples (categoryChars_{id}, categoryChars_{description}, categoryTerm_{id}) which contains a unique id, the description of the characteristics that must be fulfilled by a component to belong to this category, and an id of the related category in CategoryTerms.
	
    Input Format Supported: a set of tuples (inputFormSup_{id}$, $inputFormSup_{name}$, $categoryTerm_{id}) which contains a unique id, the name of the input type that can support the related category and id of such category.
	
    Output Format: a set of tuples (outputFormSup_{id}, outputFormSup_{name}, categoryTerm_{id}) which contains a unique id, the name of the output type that can support the related category and the id of such category.
DOI: 10.15468/dl.u9dh77
title: Occurrence Download

description: A dataset containing 251 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dinemandra ericoides A.Juss."
 ]
}

 The dataset includes 251 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049319-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14559367
title: USING ELECTRONIC PLATFORMS TO ENHANCE SPEAKING SKILLS DEVELOPMENT

description: This article discusses various methods of using electronic platforms to enhance speaking skills in language learners. It explores the benefits of online language exchange platforms, interactive learning apps, AI-powered speech recognition tools, video conferencing tools, VR and AR technologies, social media, and podcasts. These platforms provide learners with opportunities for real-time interaction, personalized feedback, immersive learning environments, and exposure to native speech, all of which contribute to improving fluency, pronunciation, and confidence in speaking.
DOI: 10.5281/zenodo.14559368
title: USING ELECTRONIC PLATFORMS TO ENHANCE SPEAKING SKILLS DEVELOPMENT

description: This article discusses various methods of using electronic platforms to enhance speaking skills in language learners. It explores the benefits of online language exchange platforms, interactive learning apps, AI-powered speech recognition tools, video conferencing tools, VR and AR technologies, social media, and podcasts. These platforms provide learners with opportunities for real-time interaction, personalized feedback, immersive learning environments, and exposure to native speech, all of which contribute to improving fluency, pronunciation, and confidence in speaking.
DOI: 10.5281/zenodo.14282196
title: Stable Isotope (oxygen and carbon) offsets between Benthic Foraminifera and ambient bottom water at surface sediments from the Equatorial and Southeast Pacific

description: The stable isotopes (raw data) obtained for the different species of benthic foraminifera (BF) from surface sediment samples in the Southeast Pacific (SEP) are stored by PANGAEA Data Publisher for Earth & Environmental Science under the name SIBFS-ESEP: Stable Isotope in Benthic Foraminifera of Surface Marine Sediments from the Equatorial and Southeast Pacific data base (SIBFS-ESEP_v1).

In this Zenodo database channel, you will find metadata of the samples (cruise, site name event, location, gear/type used, year of collection), the raw stable isotope of benthic foraminifera (full details in PANGAEA channel), bottom water δ¹⁸O equilibrium with the calcite (estimated by BOT), bottom water δ¹³C dissolved inorganic carbon (estimated by BOT and in-situ), computation of stable isotope offsets between the BF and bottom water, BF information (e.g, size of sieve used during the picking, operator of analysis) and flags "Notes.DRM". 

To quantify the magnitude of any oxygen and carbon isotopic disequilibria or offset (i.e., the difference between measured BF stable isotope data and ambient bottom water data), we calculate the difference between δ¹⁸O of BF and δ¹⁸O equilibrium with the calcite (eqcal) [δ¹⁸OBF-δ¹⁸Oeqcal], and δ¹³C of BF and δ¹³C dissolved inorganic carbon (DIC) [δ¹³CBF-δ¹³CDIC].  

For the calculations of δ18Oeqcal, we use bottom water temperature and δ¹⁸Osw (sea water) data of Reyes-Macaya, D et al. (2022): Isotopic characterization of water masses in the Southeast Pacific region: Paleoceanography implications ranging from 1.2−12.3 °C and -0.24−0.32 ‰ respectively. We use δ¹⁸Oeqcal-temperature linear (developed for the epifaunal BF genera Lobatula/Cibicidoides/Cibicides/Planulina) and quadratic (designed for the shallow infaunal BF Uvigerina) equations by Marchitto et al., (2014) across seawater temperatures ranging between -0.6 and 19 ℃. 

Information about bottom water estimations of δ¹⁸Oeqcal and δ¹³CDIC can be found BOT, a code to calculate bottom water hydrological parameters: a case in the Southeast and East Equatorial Pacific. Where available, in-situ δ¹³CDIC measurements were prioritized overestimated values to compute the isotopic disequilibria or offset. 

We identified samples that did not meet our quality control criteria based on factors such as Rose Bengal staining, radiocarbon age, and δ¹⁸O values. Samples with extreme δ¹⁸O values (outliers compared to δ¹⁸Oeqcal) were flagged with the word "DNPQC," which means the sample did not pass quality control.
DOI: 10.5281/zenodo.14282197
title: Stable Isotope (oxygen and carbon) offsets between Benthic Foraminifera and ambient bottom water at surface sediments from the Equatorial and Southeast Pacific

description: The stable isotopes (raw data) obtained for the different species of benthic foraminifera (BF) from surface sediment samples in the Southeast Pacific (SEP) are stored by PANGAEA Data Publisher for Earth & Environmental Science under the name SIBFS-ESEP: Stable Isotope in Benthic Foraminifera of Surface Marine Sediments from the Equatorial and Southeast Pacific data base (SIBFS-ESEP_v1).

In this Zenodo database channel, you will find metadata of the samples (cruise, site name event, location, gear/type used, year of collection), the raw stable isotope of benthic foraminifera (full details in PANGAEA channel), bottom water δ¹⁸O equilibrium with the calcite (estimated by BOT), bottom water δ¹³C dissolved inorganic carbon (estimated by BOT and in-situ), computation of stable isotope offsets between the BF and bottom water, BF information (e.g, size of sieve used during the picking, operator of analysis) and flags "Notes.DRM". 

To quantify the magnitude of any oxygen and carbon isotopic disequilibria or offset (i.e., the difference between measured BF stable isotope data and ambient bottom water data), we calculate the difference between δ¹⁸O of BF and δ¹⁸O equilibrium with the calcite (eqcal) [δ¹⁸OBF-δ¹⁸Oeqcal], and δ¹³C of BF and δ¹³C dissolved inorganic carbon (DIC) [δ¹³CBF-δ¹³CDIC].  

For the calculations of δ18Oeqcal, we use bottom water temperature and δ¹⁸Osw (sea water) data of Reyes-Macaya, D et al. (2022): Isotopic characterization of water masses in the Southeast Pacific region: Paleoceanography implications ranging from 1.2−12.3 °C and -0.24−0.32 ‰ respectively. We use δ¹⁸Oeqcal-temperature linear (developed for the epifaunal BF genera Lobatula/Cibicidoides/Cibicides/Planulina) and quadratic (designed for the shallow infaunal BF Uvigerina) equations by Marchitto et al., (2014) across seawater temperatures ranging between -0.6 and 19 ℃. 

Information about bottom water estimations of δ¹⁸Oeqcal and δ¹³CDIC can be found BOT, a code to calculate bottom water hydrological parameters: a case in the Southeast and East Equatorial Pacific. Where available, in-situ δ¹³CDIC measurements were prioritized overestimated values to compute the isotopic disequilibria or offset. 

We identified samples that did not meet our quality control criteria based on factors such as Rose Bengal staining, radiocarbon age, and δ¹⁸O values. Samples with extreme δ¹⁸O values (outliers compared to δ¹⁸Oeqcal) were flagged with the word "DNPQC," which means the sample did not pass quality control.
DOI: 10.15468/dl.dtuddm
title: Occurrence Download

description: A dataset containing 829 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "TaxonKey is Craspedocephalus malabaricus (Jerdon, 1854)"
 ]
}

 The dataset includes 829 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049321-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14559391
title: ARAB TILIDA B2 DARAJASIDAGI LEKSIK KOMPETENSIYANI OSHIRISH

description: Maqolada chet tilini o‘rganishdagi leksik kompetensiya haqida ma’lumotlar berilgan. Arab tilida B2 darajasidagi til o‘rganuvchilar uchun muhim bo‘lgan  leksik ko‘nikmani rivojlantiriysh bo‘yicha sinalgan va samarali metodlar keltirilgan. Va albatta, bu meto‘dlar asosida arab  tilida misollar ham ko‘rsatilgan. Bu maqola til o‘rganishdagi samaradorlikni oshiradi va uni osonlashtiradi.
DOI: 10.5281/zenodo.14559392
title: ARAB TILIDA B2 DARAJASIDAGI LEKSIK KOMPETENSIYANI OSHIRISH

description: Maqolada chet tilini o‘rganishdagi leksik kompetensiya haqida ma’lumotlar berilgan. Arab tilida B2 darajasidagi til o‘rganuvchilar uchun muhim bo‘lgan  leksik ko‘nikmani rivojlantiriysh bo‘yicha sinalgan va samarali metodlar keltirilgan. Va albatta, bu meto‘dlar asosida arab  tilida misollar ham ko‘rsatilgan. Bu maqola til o‘rganishdagi samaradorlikni oshiradi va uni osonlashtiradi.
DOI: 10.15468/dl.4hbkvn
title: Occurrence Download

description: A dataset containing 55018 records in GBIF matching the query:
SELECT COUNT(specieskey), countrycode
 FROM occurrence
 WHERE
 specieskey IS NOT NULL
 AND countrycode = 'CA'
 AND occurrencestatus = 'PRESENT'
 AND (
 basisofrecord = 'HUMAN_OBSERVATION'
 OR basisofrecord = 'MACHINE_OBSERVATION'
 OR basisofrecord = 'OCCURRENCE'
 OR basisofrecord = 'LIVING_SPECIMEN'
 OR basisofrecord = 'MATERIAL_SAMPLE'
 )
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 GROUP BY specieskey, countrycode

 The dataset's 55018 records were derived from 697 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049320-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wrn77v
title: Occurrence Download

description: A dataset containing 12142287 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Pl@ntNet automatically identified occurrences"
 ]
}

 The dataset includes 12142287 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049318-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14559401
title: opinions-94-23
DOI: 10.5281/zenodo.14559402
title: opinions-94-23
DOI: 10.5281/zenodo.14559407
title: SECTIONS OF ONOMASTICS AND THE ORIGINS OF PROPER NAMES

description: This comprehensive volume provides a detailed exploration of the field of onomastics, with contributions from various experts on topics such as the origins of personal names, surnames, place names, and the social and cultural roles names play in society. The article covers a broad range of geographical and cultural contexts, offering insights into the linguistic, historical, and social dimensions of naming practices worldwide.
DOI: 10.5281/zenodo.14559408
title: SECTIONS OF ONOMASTICS AND THE ORIGINS OF PROPER NAMES

description: This comprehensive volume provides a detailed exploration of the field of onomastics, with contributions from various experts on topics such as the origins of personal names, surnames, place names, and the social and cultural roles names play in society. The article covers a broad range of geographical and cultural contexts, offering insights into the linguistic, historical, and social dimensions of naming practices worldwide.
DOI: 10.15468/dl.hcxx3s
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Brycon dulcis Lima & Vieira, 2017"
 ]
}

 The dataset includes 18 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049324-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xae9j2
title: Occurrence Download

description: A dataset containing 352100 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Halichoerus grypus (Fabricius, 1791)"
 ]
}

 The dataset includes 352100 records from 352 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049322-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ac6xbr
title: Occurrence Download

description: A dataset containing 27141 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scyliorhinus canicula (Linnaeus, 1758)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen, Material sample)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 27141 records from 148 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004808-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.35jv94
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "TaxonKey is Panthera leo persica (Meyer, 1826)"
 ]
}

 The dataset includes 15 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006452-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rqb6fz
title: Occurrence Download

description: A dataset containing 9820 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hyacinthus orientalis L.",
 "Year 2000-2021"
 ]
}

 The dataset includes 9820 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0215289-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jeisac
title: Occurrence Download

description: A dataset containing 2809 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Plica Gray, 1831"
 ]
}

 The dataset includes 2809 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002874-180925134338326/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kxg9ee
title: Occurrence Download

description: A dataset containing 717 species occurrences available in GBIF matching the query:
{
 "and" : [
 "PublishingOrg is 396d5f30-dea9-11db-8ab4-b8a03c50a862",
 "HasCoordinate is true",
 "TaxonKey is Veneridae",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 717 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014225-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2r6jtv
title: Occurrence Download

description: A dataset containing 2887 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Latrodectus hasselti Thorell, 1870"
 ]
}

 The dataset includes 2887 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0271853-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uaff5s
title: Occurrence Download

description: A dataset containing 110 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Saussurea obvallata (DC.) Edgew., 1846"
 ]
}

 The dataset includes 110 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0238027-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5p7wat
title: Occurrence Download

description: A dataset containing 159 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Albuca seineri (Engl. & K.Krause) J.C.Manning & Goldblatt"
 ]
}

 The dataset includes 159 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0219506-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.0ayc6i
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Echeveria marianae I.García & Costea"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014225-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xhnn7e
title: Occurrence Download

description: A dataset containing 2378134 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Month is January",
 "Month is February",
 "Month is March"
 ]
 },
 "Year 2021-2021"
 ]
}

 The dataset includes 2378134 records from 208 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0237991-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.