cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5061/dryad.8qj87
title: Data from: Intra-clutch differences in egg characteristics mitigate the consequences of age-related hierarchies in a wild passerine.

description: The relative age of an individual's siblings is a major cause of
 fitness variation in many species. In Blue tits (Cyanistes caeruleus) we
 show that age hierarchies are predominantly caused by incubation
 pre-clutch completion, such that last laid eggs hatch later than early
 laid eggs. However, after statistically controlling for incubation
 behavior late laid eggs are shown to hatch more quickly than early laid
 eggs reducing the amount of asynchrony. By experimentally switching early
 and late laid eggs between nests on the day they were laid we controlled
 for the effect of differential incubation and found that the faster
 hatching times of late laid eggs remains. Chicks that hatched earlier were
 heavier and had higher probability of fledgling, and chicks that hatched
 from experimental eggs had patterns of growth and survival consistent with
 this. Egg mass explained a small part of this variation, but the remainder
 must be due to egg composition. These results are consistent with the idea
 that intrinsic differences between eggs across the laying sequence serve
 to mitigate the effects of age-related hierarchies. We also show that
 between-clutch variation in prenatal developmental rate exists and that it
 is mainly environmental in origin rather than genetic.
description: Egg
 DatatEGGS_dryad.csvMorphometric DatatMORPH_dryad.csvWeight DatatWEIGHT_dryad.csvSurvival DatatSURV_dryad.csvPedigree DatatPED_dryad.csvR ScriptsR code for performing all analyses in Hadfield at al. (2013) `Intra-clutch differences in egg characteristics mitigate the consequences of age-related hierarchies in a wild passerine'Hadfield.2013.R
DOI: 10.5061/dryad.2pj70
title: Data from: Landscape genomics in Atlantic salmon (Salmo salar): searching for gene-environment interactions driving local adaptation

description: A growing number of studies are examining the factors driving historical
 and contemporary evolution in wild populations. By combining surveys of
 genomic variation with a comprehensive assessment of environmental
 parameters, such studies can increase our understanding of the genomic and
 geographical extent of local adaptation in wild populations. We utilized a
 large-scale landscape genomics approach to examine adaptive and neutral
 differentiation across 54 North American populations of Atlantic salmon
 representing seven previously defined genetically distinct regional
 groups. Over 5500 genome-wide SNPs were genotyped in 641 individuals and
 28 bulk assays of 25 pooled individuals each. Genome scans, linkage map
 and 49 environmental variables were combined to conduct an innovative
 landscape genomic analysis. Our results provide valuable insight into the
 links between environmental variation and both neutral and potentially
 adaptive genetic divergence. In particular, we identified markers
 potentially under divergent selection, as well as associated selective
 environmental factors and biological functions with the observed adaptive
 divergence. Multivariate landscape genetic analysis revealed strong
 associations of both genetic and environmental structures. We found an
 enrichment of growth related functions among outlier markers. Climate
 (temperature-precipitation) and geological characteristics were
 significantly associated with both potentially adaptive and neutral
 genetic divergence and should be considered as candidate loci involved in
 adaptation at the regional scale in Atlantic salmon. Hence, this study
 significantly contributes to the improvement of tools used in modern
 conservation and management schemes of Atlantic salmon wild populations.
description: Bourret_genotypesGenotype table for 640 individuals and 3118 snp markers retained in final analyses.Bourret_env_and_pca_factorsEnvironmental data used in the principal component analysis and 10 pca factors values obtained and used in the redundancy analysis.Bourret_geological_data_detailsTable of geological data
DOI: 10.15468/dl.xn2ufv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((89.2654 23.642068, 89.188744 23.636491, 89.11399400000001 23.619899, 89.043009 23.592705, 88.977549 23.555583, 88.919234 23.509457, 88.86950400000001 23.455471, 88.82958000000001 23.394961, 88.800436 23.329427, 88.782775 23.260487, 88.777016 23.189842, 88.783281 23.119234, 88.801399 23.0504, 88.830906 22.98503, 88.871064 22.924729, 88.920874 22.870972, 88.979108 22.825076, 89.044335 22.788163, 89.114958 22.761133, 89.189251 22.744647, 89.2654 22.739106, 89.341549 22.744647, 89.415842 22.761133, 89.486465 22.788163, 89.551692 22.825076, 89.609926 22.870972, 89.659736 22.924729, 89.699894 22.98503, 89.729401 23.0504, 89.747519 23.119234, 89.753784 23.189842, 89.748025 23.260487, 89.73036399999999 23.329427, 89.70122000000001 23.394961, 89.66129599999999 23.455471, 89.611566 23.509457, 89.553251 23.555583, 89.487791 23.592705, 89.41680599999999 23.619899, 89.342056 23.636491, 89.2654 23.642068))"},{"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/0006157-260120142942310/datasets/export for details.
DOI: 10.5281/zenodo.18345543
title: TO'RTTA NUQTANING MURAKKAB (QO'SH ANGARMONIK) NISBATI

description: Maqolada to‘rtta nuqtaning murakkab (qo‘sh angarmonik) nisbati tushunchasi, uning xossalari va geometrik ahamiyati tahlil qilinadi. Murakkab nisbati orqali nuqtalar orasidagi o‘zaro bog‘liqlik va ular bilan aniqlanadigan transformatsiyalar, xususan, Möbius (linеar-fraqtsional) transformatsiyalarining xususiyatlari ko‘rib chiqiladi. Shuningdek, murakkab nisbati yordamida chiziqlar va doiralar tasnifi, ularning bir-biriga mos kelishi, shuningdek, uchburchak va to‘rtburchaklarning o‘lchamlari hamda burchaklar saqlanishi masalalari yoritiladi. Misollar orqali murakkab nisbatning amaliy qo‘llanilishi namoyish etilib, uni geometrik masalalarni yechishda qo‘llashning samaradorligi ko‘rsatiladi. Natijada, to‘rtta nuqtaning murakkab nisbati orqali murakkab tekislikdagi ko‘plab geometrik munosabatlarni umumlashtirish va tahlil qilish imkoniyati tasdiqlanadi.
DOI: 10.5281/zenodo.18345544
title: TO'RTTA NUQTANING MURAKKAB (QO'SH ANGARMONIK) NISBATI

description: Maqolada to‘rtta nuqtaning murakkab (qo‘sh angarmonik) nisbati tushunchasi, uning xossalari va geometrik ahamiyati tahlil qilinadi. Murakkab nisbati orqali nuqtalar orasidagi o‘zaro bog‘liqlik va ular bilan aniqlanadigan transformatsiyalar, xususan, Möbius (linеar-fraqtsional) transformatsiyalarining xususiyatlari ko‘rib chiqiladi. Shuningdek, murakkab nisbati yordamida chiziqlar va doiralar tasnifi, ularning bir-biriga mos kelishi, shuningdek, uchburchak va to‘rtburchaklarning o‘lchamlari hamda burchaklar saqlanishi masalalari yoritiladi. Misollar orqali murakkab nisbatning amaliy qo‘llanilishi namoyish etilib, uni geometrik masalalarni yechishda qo‘llashning samaradorligi ko‘rsatiladi. Natijada, to‘rtta nuqtaning murakkab nisbati orqali murakkab tekislikdagi ko‘plab geometrik munosabatlarni umumlashtirish va tahlil qilish imkoniyati tasdiqlanadi.
DOI: 10.15468/dl.4vwfus
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((89.23390000000001 23.643868, 89.15724299999999 23.638291, 89.082492 23.621699, 89.011506 23.594504, 88.946045 23.557383, 88.88773 23.511257, 88.837999 23.45727, 88.798074 23.396761, 88.768929 23.331227, 88.751268 23.262286, 88.745509 23.191642, 88.75177499999999 23.121034, 88.769893 23.0522, 88.799401 22.98683, 88.839558 22.926529, 88.889369 22.872772, 88.947604 22.826876, 89.012832 22.789963, 89.083456 22.762933, 89.15774999999999 22.746447, 89.23390000000001 22.740906, 89.31005 22.746447, 89.384344 22.762933, 89.45496799999999 22.789963, 89.520196 22.826876, 89.57843099999999 22.872772, 89.628242 22.926529, 89.66839899999999 22.98683, 89.697907 23.0522, 89.716025 23.121034, 89.722291 23.191642, 89.716532 23.262286, 89.698871 23.331227, 89.669726 23.396761, 89.629801 23.45727, 89.58007000000001 23.511257, 89.521755 23.557383, 89.456294 23.594504, 89.38530799999999 23.621699, 89.310557 23.638291, 89.23390000000001 23.643868))"},{"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/0006159-260120142942310/datasets/export for details.
DOI: 10.5281/zenodo.18345565
title: DIOFANT TENGLAMALARINI YECHISHNING ELEMENTAR USULLARI

description: Maqolada Diofant tenglamalarini yechishning elementar usullari tahlil qilinadi. Avvalo, umumiy ko‘rinishdagi chiziqli Diofant tenglamalarining yechim shartlari va yechimlar soni ko‘rib chiqiladi. Shuningdek, 2 ta noma’lumli chiziqli tenglamalar, modul bo‘yicha yechish usullari, hamda umumiy ko‘rinishda bo‘lgan kvadrat va yuqori darajali Diofant tenglamalarini yechishning asosiy printsiplari bayon etiladi. Misollar yordamida yechim jarayonlari amaliy tarzda namoyish etilib, yechimlarni tekshirish usullari ko‘rsatiladi. Natijada, Diofant tenglamalarini yechishda qo‘llaniladigan elementar metodlarning samaradorligi va amaliy ahamiyati tasdiqlanadi hamda muammo yechimiga olib boruvchi bosqichma-bosqich yondashuv umumlashtiriladi.
DOI: 10.5281/zenodo.18345567
title: DIOFANT TENGLAMALARINI YECHISHNING ELEMENTAR USULLARI

description: Maqolada Diofant tenglamalarini yechishning elementar usullari tahlil qilinadi. Avvalo, umumiy ko‘rinishdagi chiziqli Diofant tenglamalarining yechim shartlari va yechimlar soni ko‘rib chiqiladi. Shuningdek, 2 ta noma’lumli chiziqli tenglamalar, modul bo‘yicha yechish usullari, hamda umumiy ko‘rinishda bo‘lgan kvadrat va yuqori darajali Diofant tenglamalarini yechishning asosiy printsiplari bayon etiladi. Misollar yordamida yechim jarayonlari amaliy tarzda namoyish etilib, yechimlarni tekshirish usullari ko‘rsatiladi. Natijada, Diofant tenglamalarini yechishda qo‘llaniladigan elementar metodlarning samaradorligi va amaliy ahamiyati tasdiqlanadi hamda muammo yechimiga olib boruvchi bosqichma-bosqich yondashuv umumlashtiriladi.
DOI: 10.34740/kaggle/dsv/14589325
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.sn2sss
title: Occurrence Download

description: A dataset containing 1825 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Material sample, Material citation, Specimen)",
 "Continent is Asia",
 "Country is one of (China, Chinese Taipei, Hong Kong, Macao)",
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is Coordinate rounded",
 "PublishingOrg is 28eb1a3f-1c15-4a95-931a-4af90ecb574d",
 "TaxonKey is Lampyridae",
 "Year 2000-2026"
 ]
}

 The dataset includes 1825 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006160-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2bxpsa
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((89.2073 23.652667, 89.130638 23.64709, 89.055882 23.630498, 88.984891 23.603304, 88.919426 23.566183, 88.861107 23.520057, 88.811373 23.46607, 88.771445 23.405561, 88.742299 23.340026, 88.724637 23.271086, 88.71887700000001 23.200442, 88.725144 23.129834, 88.743263 23.061, 88.772772 22.99563, 88.812933 22.935329, 88.862747 22.881572, 88.920986 22.835676, 88.98621799999999 22.798763, 89.05684599999999 22.771733, 89.131145 22.755247, 89.2073 22.749707, 89.283455 22.755247, 89.357754 22.771733, 89.428382 22.798763, 89.49361399999999 22.835676, 89.55185299999999 22.881572, 89.60166700000001 22.935329, 89.641828 22.99563, 89.67133699999999 23.061, 89.68945600000001 23.129834, 89.695723 23.200442, 89.68996300000001 23.271086, 89.672301 23.340026, 89.64315499999999 23.405561, 89.603227 23.46607, 89.553493 23.520057, 89.49517400000001 23.566183, 89.429709 23.603304, 89.358718 23.630498, 89.283962 23.64709, 89.2073 23.652667))"},{"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/0006161-260120142942310/datasets/export for details.
DOI: 10.5281/zenodo.18345577
title: DIDACTIC TECHNOLOGIES FOR FOSTERING ALGORITHMIC THINKING AND DIGITAL COMPETENCE IN MEDICAL EDUCATION

description: The rapid digitalization of healthcare necessitates the development of algorithmic thinking and digital competence among future physicians. This study investigates the effectiveness of didactic technologies in fostering these competencies in undergraduate medical students. A controlled educational study was conducted at the Fergana Medical Institute of Public Health involving 158 mentally and physically healthy medical students divided into experimental and control groups. Objective Structured Clinical Examination (OSCE) performance and multi-dimensional IQ assessments were used as outcome measures. The findings demonstrate statistically significant improvements in algorithmic thinking, clinical decision-making, and digital competence among students exposed to structured didactic technologies. The results support the integration of algorithmic and digitally oriented pedagogical strategies into medical curricula.
DOI: 10.5281/zenodo.18345578
title: DIDACTIC TECHNOLOGIES FOR FOSTERING ALGORITHMIC THINKING AND DIGITAL COMPETENCE IN MEDICAL EDUCATION

description: The rapid digitalization of healthcare necessitates the development of algorithmic thinking and digital competence among future physicians. This study investigates the effectiveness of didactic technologies in fostering these competencies in undergraduate medical students. A controlled educational study was conducted at the Fergana Medical Institute of Public Health involving 158 mentally and physically healthy medical students divided into experimental and control groups. Objective Structured Clinical Examination (OSCE) performance and multi-dimensional IQ assessments were used as outcome measures. The findings demonstrate statistically significant improvements in algorithmic thinking, clinical decision-making, and digital competence among students exposed to structured didactic technologies. The results support the integration of algorithmic and digitally oriented pedagogical strategies into medical curricula.
DOI: 10.15468/dl.8fnzxu
title: Occurrence Download

description: A dataset containing 115 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Stygiomedusa gigantea",
 "Year 1990-2026"
 ]
}

 The dataset includes 115 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006162-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kfqg5e
title: Occurrence Download

description: A dataset containing 26 records in GBIF matching the query:
SELECT
 '136' AS fish_cell,
 GBIF_MGRSCode(1000, decimalLatitude, decimalLongitude, 0) AS cell, -- NO randomization
 COUNT(DISTINCT speciesKey) AS species_richness
 FROM occurrence
 WHERE hasCoordinate = TRUE
 AND speciesKey IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND decimalLatitude &gt;= -8.098015256935714
 AND decimalLatitude &lt;= -4.045127286108716
 AND decimalLongitude &gt;= 19.986277939798665
 AND decimalLongitude &lt;= 25.099157322767145
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 26 records were derived from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006154-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18345591
title: SUN'IY INTELLEKTNING ZAMONAVIY GAZETACHILIKDAGI O'RNI: IMKONIYATLAR VA MAS'ULIYAT

description: Mazkur maqolada sun’iy intellekt texnologiyalarining zamonaviy gazetachilik sohasida qo‘llanilishi, uning imkoniyatlari va yuzaga kelayotgan mas’uliyat masalalari tahlil qilinadi. Tadqiqotda AI yordamida yangiliklar tayyorlash, ma’lumotlarni tahlil qilish va axborotni tezkor yetkazish jarayonlari ko‘rib chiqiladi. Shuningdek, sun’iy intellekt asosida yaratilgan materiallarda aniqlik, ishonchlilik va etik me’yorlarga rioya etish muammolari yoritiladi.
DOI: 10.5281/zenodo.18345592
title: SUN'IY INTELLEKTNING ZAMONAVIY GAZETACHILIKDAGI O'RNI: IMKONIYATLAR VA MAS'ULIYAT

description: Mazkur maqolada sun’iy intellekt texnologiyalarining zamonaviy gazetachilik sohasida qo‘llanilishi, uning imkoniyatlari va yuzaga kelayotgan mas’uliyat masalalari tahlil qilinadi. Tadqiqotda AI yordamida yangiliklar tayyorlash, ma’lumotlarni tahlil qilish va axborotni tezkor yetkazish jarayonlari ko‘rib chiqiladi. Shuningdek, sun’iy intellekt asosida yaratilgan materiallarda aniqlik, ishonchlilik va etik me’yorlarga rioya etish muammolari yoritiladi.
DOI: 10.15468/dl.nb5zjf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((88.769549 23.703949, 88.69285600000001 23.698372, 88.618072 23.68178, 88.54705300000001 23.654586, 88.481562 23.617465, 88.423221 23.571339, 88.373468 23.517352, 88.33352600000001 23.456843, 88.30436899999999 23.391309, 88.2867 23.322369, 88.280939 23.251725, 88.287209 23.181118, 88.305335 23.112284, 88.334857 23.046915, 88.375033 22.986614, 88.42486599999999 22.932859, 88.483127 22.886963, 88.548384 22.85005, 88.619039 22.823021, 88.693365 22.806535, 88.769549 22.800995, 88.845732 22.806535, 88.92005899999999 22.823021, 88.990713 22.85005, 89.05597 22.886963, 89.114231 22.932859, 89.164064 22.986614, 89.20424 23.046915, 89.233762 23.112284, 89.25188900000001 23.181118, 89.25815799999999 23.251725, 89.252397 23.322369, 89.234729 23.391309, 89.20557100000001 23.456843, 89.165629 23.517352, 89.115876 23.571339, 89.057535 23.617465, 88.99204400000001 23.654586, 88.921026 23.68178, 88.84624100000001 23.698372, 88.769549 23.703949))"},{"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/0006163-260120142942310/datasets/export for details.
DOI: 10.7303/syn72382128
title: Release 19.0-public
DOI: 10.15468/dl.4ee65t
title: Occurrence Download

description: A dataset containing 692 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chamaesium"
 ]
}

 The dataset includes 692 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006165-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.78snuj
title: Occurrence Download

description: A dataset containing 24033 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Caulophyllum"
 ]
}

 The dataset includes 24033 records from 353 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006164-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18345602
title: СРАВНИТЕЛЬНЫЙ ЭКСПЕРИМЕНТАЛЬНЫЙ АНАЛИЗ ФОРМ

description: В данной статье представлен сравнительный экспериментальный анализ формантной структуры гласных русского и узбекского языков. Цель исследования заключается в выявлении сходств и различий акустических параметров гласных фонем двух разносистемных языков, принадлежащих к различным языковым семьям: русский — к славянской ветви индоевропейской семьи, узбекский — к тюркской ветви алтайской семьи. Для исследования использованы методы спектрографического анализа, измерения формантных частот (F1, F2, F3), длительности и интенсивности гласных в речевых материалах носителей языков. Экспериментальные данные показали, что узбекский язык характеризуется более высокой гармонизацией гласных, с меньшей вариативностью формант, тогда как русский язык демонстрирует большую вариативность артикуляции и акустических параметров, что связано с историческими и фонологическими особенностями языка. Результаты имеют значение для теоретической фонетики, межъязыкового сопоставления и практического обучения билингвов.
DOI: 10.5281/zenodo.18345603
title: СРАВНИТЕЛЬНЫЙ ЭКСПЕРИМЕНТАЛЬНЫЙ АНАЛИЗ ФОРМ

description: В данной статье представлен сравнительный экспериментальный анализ формантной структуры гласных русского и узбекского языков. Цель исследования заключается в выявлении сходств и различий акустических параметров гласных фонем двух разносистемных языков, принадлежащих к различным языковым семьям: русский — к славянской ветви индоевропейской семьи, узбекский — к тюркской ветви алтайской семьи. Для исследования использованы методы спектрографического анализа, измерения формантных частот (F1, F2, F3), длительности и интенсивности гласных в речевых материалах носителей языков. Экспериментальные данные показали, что узбекский язык характеризуется более высокой гармонизацией гласных, с меньшей вариативностью формант, тогда как русский язык демонстрирует большую вариативность артикуляции и акустических параметров, что связано с историческими и фонологическими особенностями языка. Результаты имеют значение для теоретической фонетики, межъязыкового сопоставления и практического обучения билингвов.