cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e244030
title: NNDSS - Table II. Lyme disease to Meningococcal

description: NNDSS - Table II. Lyme disease to Meningococcal - 2015.In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed.The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data. Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable. -: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. * Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table 2 to facilitate case count verification with reporting jurisdictions. ��� Case counts for reporting year 2015 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. �� Data for meningococcal disease, invasive caused by serogroups ACWY; serogroup B; other serogroup; and unknown serogroup are available in Table I.
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description: (Downloaded 2026-01-13)
DOI: 10.3886/e244030v1
title: NNDSS - Table II. Lyme disease to Meningococcal

description: NNDSS - Table II. Lyme disease to Meningococcal - 2015.In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed.The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data. Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable. -: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. * Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table 2 to facilitate case count verification with reporting jurisdictions. ��� Case counts for reporting year 2015 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. �� Data for meningococcal disease, invasive caused by serogroups ACWY; serogroup B; other serogroup; and unknown serogroup are available in Table I.
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description: (Downloaded 2026-01-13)
DOI: 10.5281/zenodo.18238921
title: MATRITSANING XOS SON VA XOS VEKTORINI TOPISH METODLARI VA ALGORITMLARI

description: Ushbu maqolada matritsaning xos son va xos vektor tushunchalari, ularni aniqlashning nazariy asoslari hamda amaliy hisoblash metodlari keng yoritilgan. Xos sonlarni topishning klassik determinantga asoslangan usullari bilan bir qatorda, katta o‘lchamli matritsalar uchun samarali bo‘lgan iteratsion algoritmlar, jumladan daraja usuli va QR-algoritmning mohiyati tahlil qilingan. Shuningdek, xos sonlarning karraligi, spektral radius, diagonalizatsiya shakli kabi tushunchalar orqali mavzuning chuqur matematik mazmuni ochib berilgan. Maqolada xos son va xos vektorlarning differensial tenglamalar, dinamik tizimlar, mexanik modellar, iqtisodiy tahlil hamda sun’iy intellekt sohalaridagi amaliy qo‘llanilishiga alohida e’tibor qaratilgan. Tadqiqot natijalari chiziqli algebra fanini o‘rganayotgan talabalar va amaliy masalalar bilan shug‘ullanuvchi mutaxassislar uchun foydali bo‘lishi mumkin.
DOI: 10.5281/zenodo.18238922
title: MATRITSANING XOS SON VA XOS VEKTORINI TOPISH METODLARI VA ALGORITMLARI

description: Ushbu maqolada matritsaning xos son va xos vektor tushunchalari, ularni aniqlashning nazariy asoslari hamda amaliy hisoblash metodlari keng yoritilgan. Xos sonlarni topishning klassik determinantga asoslangan usullari bilan bir qatorda, katta o‘lchamli matritsalar uchun samarali bo‘lgan iteratsion algoritmlar, jumladan daraja usuli va QR-algoritmning mohiyati tahlil qilingan. Shuningdek, xos sonlarning karraligi, spektral radius, diagonalizatsiya shakli kabi tushunchalar orqali mavzuning chuqur matematik mazmuni ochib berilgan. Maqolada xos son va xos vektorlarning differensial tenglamalar, dinamik tizimlar, mexanik modellar, iqtisodiy tahlil hamda sun’iy intellekt sohalaridagi amaliy qo‘llanilishiga alohida e’tibor qaratilgan. Tadqiqot natijalari chiziqli algebra fanini o‘rganayotgan talabalar va amaliy masalalar bilan shug‘ullanuvchi mutaxassislar uchun foydali bo‘lishi mumkin.
DOI: 10.15468/dl.tj93k6
title: Occurrence Download

description: A dataset containing 1719 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ricciocarpus natans"
 ]
}

 The dataset includes 1719 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007909-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eyd4xv
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"USA.11.139_1","matchCase":false},{"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 37 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007908-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18238926
title: Aciachne Benth. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:41
DOI: 10.5281/zenodo.18238927
title: Aciachne Benth. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:41
DOI: 10.15468/dl.jc29et
title: Occurrence Download

description: A dataset containing 358 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.11.9.9_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2024-2024"
 ]
}

 The dataset includes 358 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007910-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18238931
title: Aciachne pulvinata Benth. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:41
DOI: 10.5281/zenodo.18238939
title: Acianthera Scheidw. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:41
DOI: 10.5281/zenodo.18238938
title: Acianthera Scheidw. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:41
DOI: 10.15468/dl.25zsjk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"USA.11.140_1","matchCase":false},{"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/0007911-260108223611665/datasets/export for details.
DOI: 10.5281/zenodo.18238930
title: Aciachne pulvinata Benth. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:41
DOI: 10.3886/e244031
title: NNDSS - Table II. Invasive Pneumococcal to Legionellosis

description: NNDSS - Table II. Invasive Pneumococcal to Legionellosis - 2015.In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data. Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable. -: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. * Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table 2 to facilitate case count verification with reporting jurisdictions. ��� Case counts for reporting year 2015 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. �� Includes drug resistant and susceptible cases of Invasive Pneumococcal Disease. This condition was previously named Streptococcus pneumoniae invasive disease and cases were reported to CDC using different event codes to specify whether the cases were drug resistant or in a defined age group, such as &lt;5 years. Since 2010, case notifications for this condition were consolidated under one event code for Invasive pneumococcal disease.
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description: (Downloaded 2026-01-13)
DOI: 10.3886/e244031v1
title: NNDSS - Table II. Invasive Pneumococcal to Legionellosis

description: NNDSS - Table II. Invasive Pneumococcal to Legionellosis - 2015.In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data. Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable. -: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. * Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table 2 to facilitate case count verification with reporting jurisdictions. ��� Case counts for reporting year 2015 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. �� Includes drug resistant and susceptible cases of Invasive Pneumococcal Disease. This condition was previously named Streptococcus pneumoniae invasive disease and cases were reported to CDC using different event codes to specify whether the cases were drug resistant or in a defined age group, such as &lt;5 years. Since 2010, case notifications for this condition were consolidated under one event code for Invasive pneumococcal disease.
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description: (Downloaded 2026-01-13)
DOI: 10.5281/zenodo.18238946
title: Acianthera hygrophila (Barb.Rodr.) Pridgeon & M.W.Chase. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:41
DOI: 10.5281/zenodo.18238945
title: Acianthera hygrophila (Barb.Rodr.) Pridgeon & M.W.Chase. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:41
DOI: 10.15468/dl.3ut27r
title: Occurrence Download

description: A dataset containing 359 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tripterospermum chinense"
 ]
}

 The dataset includes 359 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007912-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18238932
title: THE IMPACT OF INTERNATIONAL SANCTIONS IMPOSED ON THE RUSSIAN FEDERATION ON THE DEVELOPMENT OF FOREIGN TRADE OF THE REPUBLIC OF UZBEKISTAN AND THE ROLE OF COMPLIANCE

description: The language and style of the manuscript have been polished to native-level academic English throughout. The Abstract now uses a clear problem–method–results–contribution structure. This matches the standards of Scopus-indexed journals. The volume was unchanged, but revisions improved clarity, cohesion, and academic tone.

This article examines how international sanctions on the Russian Federation have altered Uzbekistan’s foreign trade between 2019 and 2025. The study uses a mixed-methods design and data from Stat.uz, UN Comtrade, and the World Bank. It tracks export composition, payment mechanisms, and trade flows under sanctions. It emphasizes sanctions compliance as a tool for managing cross-border risk. Results show that institutionalized and digital compliance procedures support both restriction adherence and export diversification, improve payment resilience, and strengthen Uzbek firms’ competitive positions. By focusing on a non-sanctioned partner, the article adds to the literature on sanctions spillovers and gives policy insights for emerging markets facing geopolitical fragmentation.
DOI: 10.5281/zenodo.18238933
title: THE IMPACT OF INTERNATIONAL SANCTIONS IMPOSED ON THE RUSSIAN FEDERATION ON THE DEVELOPMENT OF FOREIGN TRADE OF THE REPUBLIC OF UZBEKISTAN AND THE ROLE OF COMPLIANCE

description: The language and style of the manuscript have been polished to native-level academic English throughout. The Abstract now uses a clear problem–method–results–contribution structure. This matches the standards of Scopus-indexed journals. The volume was unchanged, but revisions improved clarity, cohesion, and academic tone.

This article examines how international sanctions on the Russian Federation have altered Uzbekistan’s foreign trade between 2019 and 2025. The study uses a mixed-methods design and data from Stat.uz, UN Comtrade, and the World Bank. It tracks export composition, payment mechanisms, and trade flows under sanctions. It emphasizes sanctions compliance as a tool for managing cross-border risk. Results show that institutionalized and digital compliance procedures support both restriction adherence and export diversification, improve payment resilience, and strengthen Uzbek firms’ competitive positions. By focusing on a non-sanctioned partner, the article adds to the literature on sanctions spillovers and gives policy insights for emerging markets facing geopolitical fragmentation.
DOI: 10.15468/dl.hee3ke
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.11.9.9_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2025-2025"
 ]
}

 The dataset includes 15 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007913-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.31062520.v1
title: <i>Vibrio </i>sp. nov. C8 CAZome

description: We report the draft genome sequence, and associated CAZyme annotations, for a novel species of the genus <i>Vibrio</i>, isolated from the marine macroalga <i>Codium fragile</i>. This work was part of a project looking for glycoside hydrolases with potential for biological control applications, but the broader CAZome of <i>Vibrio </i>sp. nov. C8 represents a resource for studying marine polysaccharide degradation and biosynthesis, and exploring other biotechnological applications.
DOI: 10.6084/m9.figshare.31062520
title: <i>Vibrio </i>sp. nov. C8 CAZome

description: We report the draft genome sequence, and associated CAZyme annotations, for a novel species of the genus <i>Vibrio</i>, isolated from the marine macroalga <i>Codium fragile</i>. This work was part of a project looking for glycoside hydrolases with potential for biological control applications, but the broader CAZome of <i>Vibrio </i>sp. nov. C8 represents a resource for studying marine polysaccharide degradation and biosynthesis, and exploring other biotechnological applications.
DOI: 10.15468/dl.8p632q
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"USA.11.141_1","matchCase":false},{"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 35 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007914-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18238954
title: BANKLARDA KORPORATIV BOSHQARUVNING TASHKILIY-IQTISODIY MEXANIZMINI TAKOMILLASHTIRISH

description: This scientific article explores the issues of improving the organizational and economic mechanism of corporate governance in the banking system through a comprehensive approach. The study analyzes the institutional foundations of corporate governance in banks, the economic relations between management bodies, mechanisms ensuring the balance of interests, and their impact on financial stability. According to the research findings, modernizing the organizational and economic mechanism in banks can enhance management efficiency, reduce risks, and strengthen investor confidence. The article provides scientific and practical recommendations for improving corporate governance in banking activities.
DOI: 10.5281/zenodo.18238953
title: BANKLARDA KORPORATIV BOSHQARUVNING TASHKILIY-IQTISODIY MEXANIZMINI TAKOMILLASHTIRISH

description: This scientific article explores the issues of improving the organizational and economic mechanism of corporate governance in the banking system through a comprehensive approach. The study analyzes the institutional foundations of corporate governance in banks, the economic relations between management bodies, mechanisms ensuring the balance of interests, and their impact on financial stability. According to the research findings, modernizing the organizational and economic mechanism in banks can enhance management efficiency, reduce risks, and strengthen investor confidence. The article provides scientific and practical recommendations for improving corporate governance in banking activities.