cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18267690
title: НАЦИОНАЛЬНО-КУЛЬТУРНЫЕ ОСОБЕННОСТИ ЭМОЦИОНАЛЬНОЙ РЕПРЕЗЕНТАЦИИ В АНГЛИЙСКОЙ И УЗБЕКСКОЙ ХУДОЖЕСТВЕННОЙ ЛИТЕРАТУРЕ

description: В статье исследуются национально-культурные особенности эмоциональной репрезентации в английской и узбекской художественной литературе. Проанализированы языковые, стилистические и образные средства, с помощью которых передаются внутренние состояния персонажей и эмоциональная оценка действительности. Рассмотрены различия между индивидуалистическим и коллективистским подходами к эмоциям, особенности метафоризации, выражение негативных эмоций, а также гендерные и исторические аспекты. Исследование способствует углубленному пониманию взаимодействия языка, культуры и эмоций, а также развитию межкультурной коммуникации и сравнительного литературоведения.
DOI: 10.15468/dl.dhjnvv
title: Occurrence Download

description: A dataset containing 7353 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Kochia scoparia"
 ]
}

 The dataset includes 7353 records from 370 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013934-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.an8fsr
title: Occurrence Download

description: A dataset containing 509 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Salsola ruthenica"
 ]
}

 The dataset includes 509 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013935-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.atdtve
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Suaeda stellatiflora"
 ]
}

 The dataset includes 39 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013936-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18267713
title: 1960-1970-YILLARDA O'ZBEKISTONDA TEATR SAN'ATINING RIVOJLANISHI

description: Kirish: 1960-1970 yillarda O’zbekiston madaniy hayotida teatr san’atining rivojlanishida muhim bosqich hisoblanadi. Ushbu davr teatr jamiyatning ma’naviy-tarbiyaviy hayotida alohida o’rin egallab, ommani mafkuraviy va estetik jihatdan shakllantirish vositasi sifatida faol qo’llaniladi. Sovet davlati madaniy siyosatining tarkibiy qismi sifatida teatr san’ati doimiy nazorat va yo’naltirish sharoitida rivojlandi. Shu bilan birga, milliy teatr an’analari saqlanib, sahna asarlarida xalqning tarixiy xortirasi va ma’naviy qadriyatlari aks ettirildi. Mazkur holat 1960-1970 yillarda O’zbekistonda teatr san’atining rivojlanish jarayonlarini ilmiy jihatdan tahlil qilishni taqozo etadi.

Maqsad.  1960-1970 yillarda O’zbekistonda teatr san’atining rivojlanish tendensiyalari va muammolarini tarixiy manbalar asosida o’rganish, sovet mafkurasi sharoitida teatrning ijtimoiy va madaniy hayotda tutgan o’rnini tahlil qilishdan iborat.

Materiallar va metodlar. Tadqiqot jarayonida 1960-1970 yillarda O’zbekistonda teatr san’atiga oid davr matbuoti materiallari, mustaqil davri ilmiy adabiyotlari, teatrshunoslik va tarixiy adabiyotlardan foydalanildi. Tadqiqotni yoritishda Tursunov T. “XX asr O’zbek teatr tarixi” darslik-monografiasi, “O’zbek Milliy akademk drama teatri” kitob-albomi tahlil qilindi.

Xulosa. 1960-1970 yillarda O’zbekistonda teatr san’ati mafkuraviy cheklovlar sharoitida rivojlangan bo’lsa-da, jamiyatning madaniy hayotida muhim o’rin tutdi. Teatr repertuarida zamondosh va tarixiy mavzular uyg’unlashib, milliy madaniyatni saqlashga xizmat qildi. Biroq, ijodiy erkinlikning cheklanganligi teatr san’ati rivojiga muayyan darajada to’sqinlik qildi. Mazkur davr teatr san’ati keyingi ijodiy jarayonlar uchun muhim tajriba va zamin bo’lin xizmat qildi.
DOI: 10.5281/zenodo.18267714
title: 1960-1970-YILLARDA O'ZBEKISTONDA TEATR SAN'ATINING RIVOJLANISHI

description: Kirish: 1960-1970 yillarda O’zbekiston madaniy hayotida teatr san’atining rivojlanishida muhim bosqich hisoblanadi. Ushbu davr teatr jamiyatning ma’naviy-tarbiyaviy hayotida alohida o’rin egallab, ommani mafkuraviy va estetik jihatdan shakllantirish vositasi sifatida faol qo’llaniladi. Sovet davlati madaniy siyosatining tarkibiy qismi sifatida teatr san’ati doimiy nazorat va yo’naltirish sharoitida rivojlandi. Shu bilan birga, milliy teatr an’analari saqlanib, sahna asarlarida xalqning tarixiy xortirasi va ma’naviy qadriyatlari aks ettirildi. Mazkur holat 1960-1970 yillarda O’zbekistonda teatr san’atining rivojlanish jarayonlarini ilmiy jihatdan tahlil qilishni taqozo etadi.

Maqsad.  1960-1970 yillarda O’zbekistonda teatr san’atining rivojlanish tendensiyalari va muammolarini tarixiy manbalar asosida o’rganish, sovet mafkurasi sharoitida teatrning ijtimoiy va madaniy hayotda tutgan o’rnini tahlil qilishdan iborat.

Materiallar va metodlar. Tadqiqot jarayonida 1960-1970 yillarda O’zbekistonda teatr san’atiga oid davr matbuoti materiallari, mustaqil davri ilmiy adabiyotlari, teatrshunoslik va tarixiy adabiyotlardan foydalanildi. Tadqiqotni yoritishda Tursunov T. “XX asr O’zbek teatr tarixi” darslik-monografiasi, “O’zbek Milliy akademk drama teatri” kitob-albomi tahlil qilindi.

Xulosa. 1960-1970 yillarda O’zbekistonda teatr san’ati mafkuraviy cheklovlar sharoitida rivojlangan bo’lsa-da, jamiyatning madaniy hayotida muhim o’rin tutdi. Teatr repertuarida zamondosh va tarixiy mavzular uyg’unlashib, milliy madaniyatni saqlashga xizmat qildi. Biroq, ijodiy erkinlikning cheklanganligi teatr san’ati rivojiga muayyan darajada to’sqinlik qildi. Mazkur davr teatr san’ati keyingi ijodiy jarayonlar uchun muhim tajriba va zamin bo’lin xizmat qildi.
DOI: 10.15468/dl.fgamcs
title: Occurrence Download

description: A dataset containing 210 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Hippophae rhamnoides yunnanensis"
 ]
}

 The dataset includes 210 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013938-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2ll9r8
title: CCDC 2400880: Experimental Crystal Structure Determination

description: Related Article: Long Li|2025|CSD Communication|||
description: Related Article: Wen-Feng Luo, Li-Gao Liu, Yan-Xin Zheng, Miao Sun, Xin Lu, Bo Zhou, Long-Wu Ye, Long Li|2025|ACS Cent.Sci.|11|805|doi:10.1021/acscentsci.5c00248
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2ll9tb
title: CCDC 2400882: Experimental Crystal Structure Determination

description: Related Article: Long Li|2025|CSD Communication|||
description: Related Article: Wen-Feng Luo, Li-Gao Liu, Yan-Xin Zheng, Miao Sun, Xin Lu, Bo Zhou, Long-Wu Ye, Long Li|2025|ACS Cent.Sci.|11|805|doi:10.1021/acscentsci.5c00248
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2nh6ds
title: CCDC 2457475: Experimental Crystal Structure Determination

description: Related Article: Pengcheng Jia|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2p55vx
title: CCDC 2477639: Experimental Crystal Structure Determination

description: Related Article: Kgaugelo C. Tapala, Mpho P. Ngoepe, Garland K. More, Hadley S. Clayton|2026|J.Mol.Struct.|1356||doi:10.1016/j.molstruc.2025.145161
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2p55wy
title: CCDC 2477640: Experimental Crystal Structure Determination

description: Related Article: Kgaugelo C. Tapala, Mpho P. Ngoepe, Garland K. More, Hadley S. Clayton|2026|J.Mol.Struct.|1356||doi:10.1016/j.molstruc.2025.145161
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2p5h7m
title: CCDC 2477930: Experimental Crystal Structure Determination

description: Related Article: Fawwaz Azam, Brigida V. Fernandes, Clive A. Boateng, Jesse LeBlanc, Alan J. Lough, Marc J. Adler|2025|Org.Lett.|||doi:10.1021/acs.orglett.5c04034
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2p5h8n
title: CCDC 2477931: Experimental Crystal Structure Determination

description: Related Article: Fawwaz Azam, Brigida V. Fernandes, Clive A. Boateng, Jesse LeBlanc, Alan J. Lough, Marc J. Adler|2025|Org.Lett.|||doi:10.1021/acs.orglett.5c04034
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2p7hhy
title: CCDC 2479860: Experimental Crystal Structure Determination

description: Related Article: L. A. Zhukov,  A. A. Lysova,  D. G. Samsonenko,  D. N. Dybtsev,  V. P. Fedin|2025|J.Struct.Chem.|66|2321|doi:10.1134/S002247662511006X
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2p7hk0
title: CCDC 2479862: Experimental Crystal Structure Determination

description: Related Article: L. A. Zhukov,  A. A. Lysova,  D. G. Samsonenko,  D. N. Dybtsev,  V. P. Fedin|2025|J.Struct.Chem.|66|2321|doi:10.1134/S002247662511006X
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2nfskg
title: CCDC 2456116: Experimental Crystal Structure Determination

description: Related Article: M. A. Shmelev,  A. E. Bolot′ko,  A. S. Chistyakov,  L. M. Efromeev,  G. A. Razgonyaeva,  A. A. Levina,  A. A. Sidorov,  I. L. Eremenko|2025|J.Struct.Chem.|66|2115|doi:10.1134/S0022476625100117
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2nfslh
title: CCDC 2456117: Experimental Crystal Structure Determination

description: Related Article: M. A. Shmelev,  A. E. Bolot′ko,  A. S. Chistyakov,  L. M. Efromeev,  G. A. Razgonyaeva,  A. A. Levina,  A. A. Sidorov,  I. L. Eremenko|2025|J.Struct.Chem.|66|2115|doi:10.1134/S0022476625100117
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2nfsmj
title: CCDC 2456118: Experimental Crystal Structure Determination

description: Related Article: M. A. Shmelev,  A. E. Bolot′ko,  A. S. Chistyakov,  L. M. Efromeev,  G. A. Razgonyaeva,  A. A. Levina,  A. A. Sidorov,  I. L. Eremenko|2025|J.Struct.Chem.|66|2115|doi:10.1134/S0022476625100117
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2nfsnk
title: CCDC 2456119: Experimental Crystal Structure Determination

description: Related Article: M. A. Shmelev,  A. E. Bolot′ko,  A. S. Chistyakov,  L. M. Efromeev,  G. A. Razgonyaeva,  A. A. Levina,  A. A. Sidorov,  I. L. Eremenko|2025|J.Struct.Chem.|66|2115|doi:10.1134/S0022476625100117
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2nfspl
title: CCDC 2456120: Experimental Crystal Structure Determination

description: Related Article: M. A. Shmelev,  A. E. Bolot′ko,  A. S. Chistyakov,  L. M. Efromeev,  G. A. Razgonyaeva,  A. A. Levina,  A. A. Sidorov,  I. L. Eremenko|2025|J.Struct.Chem.|66|2115|doi:10.1134/S0022476625100117
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2p8426
title: CCDC 2480467: Experimental Crystal Structure Determination

description: Related Article: D. Shobana, S. Sudha, Đorđe Kapuran, Dušan Dimić, D. Ramarajan|2026|J.Mol.Struct.|1356||doi:10.1016/j.molstruc.2025.145157
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.31078516
title: Supplementary Material for: Prediction of Retinopathy of Prematurity and Treatment in Very Low Birth Weight Infants Using Machine Learning on Nationwide Non-Imaging Clinical Data

description: Introduction: Retinopathy of prematurity (ROP) remains a leading cause of preventable blindness in preterm infants. This study aimed to develop machine learning (ML) models using non-imaging clinical data to predict ROP, severe ROP (sROP), and treated ROP (tROP) in very low birth weight (VLBW) infants.
Methods: We utilized nationwide clinical data from the Korean Neonatal Network, including 44 perinatal and neonatal variables. Two deep learning models, Multilayer Perceptron (MLP) and Neural Oblivious Decision Ensembles (NODE), optimized for tabular data, were applied. Additionally, we developed simplified models using eight key variables selected through clinical and algorithmic relevance.
Results: MLP and NODE models demonstrated high predictive performance. For the full 44-variable models, the area under the receiver operating characteristic curve (AUROC) was as follows: ROP (0.853/0.855), sROP (0.888/0.890), and tROP (0.905/0.909). The reduced 8-variable models yielded comparable AUROCs: ROP (0.851/0.855), sROP (0.895/0.895), and tROP (0.910/0.909).
Conclusion: The proposed ML models based on nationwide non-imaging clinical data enable early risk identification and timely intervention for ROP in VLBW infants. This cost-effective and scalable approach may help improve outcomes, especially in resource-limited settings.
DOI: 10.6084/m9.figshare.31078516.v1
title: Supplementary Material for: Prediction of Retinopathy of Prematurity and Treatment in Very Low Birth Weight Infants Using Machine Learning on Nationwide Non-Imaging Clinical Data

description: Introduction: Retinopathy of prematurity (ROP) remains a leading cause of preventable blindness in preterm infants. This study aimed to develop machine learning (ML) models using non-imaging clinical data to predict ROP, severe ROP (sROP), and treated ROP (tROP) in very low birth weight (VLBW) infants.
Methods: We utilized nationwide clinical data from the Korean Neonatal Network, including 44 perinatal and neonatal variables. Two deep learning models, Multilayer Perceptron (MLP) and Neural Oblivious Decision Ensembles (NODE), optimized for tabular data, were applied. Additionally, we developed simplified models using eight key variables selected through clinical and algorithmic relevance.
Results: MLP and NODE models demonstrated high predictive performance. For the full 44-variable models, the area under the receiver operating characteristic curve (AUROC) was as follows: ROP (0.853/0.855), sROP (0.888/0.890), and tROP (0.905/0.909). The reduced 8-variable models yielded comparable AUROCs: ROP (0.851/0.855), sROP (0.895/0.895), and tROP (0.910/0.909).
Conclusion: The proposed ML models based on nationwide non-imaging clinical data enable early risk identification and timely intervention for ROP in VLBW infants. This cost-effective and scalable approach may help improve outcomes, especially in resource-limited settings.
DOI: 10.6084/m9.figshare.31078519
title: Supplementary Material for: Changes in Health Care Utilization Patterns and Outcomes for an Acute Cerebrovascular Events Medicare Cohort, 2018—2022

description: Introduction: The Coronavirus 2019 (COVID-19) pandemic disrupted medical care delivery for cerebrovascular disease. Little is known about the long-term changes in health care utilization and mortality among people who suffered cerebrovascular events. 

Methods: We used 2018—2022 data to identify all Medicare fee-for-service (FFS) and Medicare Advantage (MA) beneficiaries with a diagnosis code for an acute cerebrovascular event (stroke, transient ischemic attack, hemorrhage). We used Poisson-lognormal regression models with an offset term (beneficiary years) to model incident rate ratios (IRR) for late-COVID (2021—2022) versus pre-COVID (2018—2019) for outpatient visits, emergency department (ED) visits, hospitalizations, and mortality in the year following the index event, adjusting for age, sex, and race. We examined patterns overall and by rurality (urban, micropolitan, rural) and quartile (q) of social vulnerability index (SVI).

Results: We identified 7,071,072 and 7,065,171 unique beneficiaries in the pre-COVID and late-COVID periods, respectively, with an acute cerebrovascular event. Our cohort was predominantly non-Hispanic White (73%), female (54%), and urban (83%). Compared to pre-COVID, outpatient care utilization in the year following the acute event was higher in 2021—2022 (IRR=1.14, 95% confidence interval [CI]: 1.13—1.14), while ED visits (IRR=0.92, 95% CI: 0.91—0.92) and inpatient hospitalizations (IRR=0.94, 95% CI: 0.94—0.95) were lower. Mortality was higher during the late-COVID versus pre-COVID period (IRR=1.24, 95% CI: 1.23—1.25). The mortality differences were similar across rural strata, but higher in more socially disadvantaged areas (IRR 1.20, 1.22, 1.24, 1.27 for q1 [reference], p-interaction= q2=0.12, q3=0.01, and q4&lt;0.001).

Conclusions: Medicare beneficiaries who sustained acute cerebrovascular events had marked differences over the subsequent year in healthcare utilization patterns and increased mortality in the late-COVID period compared with their utilization and outcomes pre-COVID. The differences in mortality were the most pronounced for beneficiaries in socially disadvantaged areas.