cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e242724v1
title: DQS NHANES Select Infectious Diseases Prevalence Estimates

description: These data represent prevalence estimates of select infectious diseases from the National Health and Nutrition Examination Survey (NHANES). This version of the NHANES dataset is specific to visualization within the NCHS DQS.
Search, visualize, and download these and other estimates from a wide range of health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.
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description: (Downloaded 1/7/2026)
DOI: 10.71819/eg9cek
title: Monitoramento de fauna da Rede Nacional de Vigilância de vírus em animais silvestres (PREVIR-MCTI). Observatório de Aves no Pantanal (MT-2)

description: A Rede Nacional de Vigilância Epidemiológica de Coronavírus SARS-COV-2 e outros Patógenos Emergentes em Morcegos, Aves e outros Reservatórios Silvestres (PREVIR-MCTI) tem como objetivo detectar e analisar vírus com potencial de emergência para humanos em animais silvestres, em diferentes regiões brasileiras (Amazônia, Pantanal, Cerrado, Mata Atlântica, Litoral, Lagoa do Peixe e Extremo Sul do País). Estes dados são referentes a pesquisa de aves no Pantanal no estado do Mato Grosso pelo grupo da UFMT. As aves foram capturadas com redes de neblina, sendo utilizadas 15 redes (malha 36 mm e 3,5 m de altura e 10 m de comprimento) que ficaram abertas das 06: 00 hs as 10: 00 hs da manhã, de três a cinco dias consecutivos. Em alguns casos, foi necessário fechar as redes antes do horário previsto, devido a grande quantidade de bichos capturados nas primeiras revisões do dia, então para evitar o stress desses animais já capturados foi necessário fechar as redes. As espécies capturadas foram marcadas com anilhas coloridas e em seguida foram mensurados os dados biométricos, sendo as medidas de peso (massa corpórea) e comprimento total consideradas medidas obrigatórias. Para a realização da biometria foram utilizados paquímetros de alumínio (milímetros), régua metálica e dinamômetro de mão de 100, 300 e 500 gramas.
DOI: 10.15468/dl.8yxg8g
title: Occurrence Download

description: A dataset containing 668 species occurrences available in GBIF matching the query:
{
 "and" : [
 "InstitutionCode is PSM",
 "OccurrenceStatus is Present",
 "TaxonKey is Arborimus"
 ]
}

 The dataset includes 668 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082210-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4qt5cd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((71.79381600000001 24.437368, 71.71668699999999 24.431791, 71.641476 24.415199, 71.570054 24.388004, 71.504194 24.350883, 71.445526 24.304757, 71.39549700000001 24.250771, 71.35533599999999 24.190264, 71.32602199999999 24.124733, 71.30826399999999 24.055798, 71.30247900000001 23.98516, 71.30879299999999 23.91456, 71.327029 23.845735, 71.35672099999999 23.780375, 71.397126 23.720084, 71.447239 23.666337, 71.50582300000001 23.62045, 71.57144 23.583544, 71.642483 23.556521, 71.71721599999999 23.540038, 71.79381600000001 23.534499, 71.87041600000001 23.540038, 71.945149 23.556521, 72.016192 23.583544, 72.08180900000001 23.62045, 72.140393 23.666337, 72.190506 23.720084, 72.23091100000001 23.780375, 72.260603 23.845735, 72.278839 23.91456, 72.28515299999999 23.98516, 72.27936800000001 24.055798, 72.26161 24.124733, 72.23229600000001 24.190264, 72.19213499999999 24.250771, 72.142106 24.304757, 72.083438 24.350883, 72.017578 24.388004, 71.946156 24.415199, 71.87094500000001 24.431791, 71.79381600000001 24.437368))"},{"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/0082211-251120083545085/datasets/export for details.
DOI: 10.5281/zenodo.18189549
title: DIGITAL AND INTELLIGENT TECHNOLOGIES IN THE BANKING COMPLIANCE SYSTEM OF THE REPUBLIC OF UZBEKISTAN

description: This article examines how banking compliance in the Republic of Uzbekistan is changing under the influence of digital and intelligent technologies. While prior studies often focus on individual tools or regulatory aspects, this paper addresses the broader transformation of compliance from a narrowly control-oriented function into a strategic component of bank management. The study aims to demonstrate that RegTech solutions and artificial intelligence (AI) significantly enhance the efficiency, adaptability, and risk-oriented nature of compliance systems in commercial banks.

The research is based on systemic and institutional approaches and applies comparative analysis, generalization of statistical data, and expert assessments. The paper identifies key weaknesses of traditional compliance models and analyzes practical directions for implementing RegTech and AI in AML/CFT, KYC, and transaction monitoring. As a result, a three-level model of digital banking compliance is proposed, combining operational automation, analytical intelligence, and strategic decision support. The practical value of the study lies in concrete recommendations for commercial banks and the Central Bank of the Republic of Uzbekistan aimed at building a technologically sustainable and risk-oriented compliance system.
DOI: 10.5281/zenodo.18189548
title: DIGITAL AND INTELLIGENT TECHNOLOGIES IN THE BANKING COMPLIANCE SYSTEM OF THE REPUBLIC OF UZBEKISTAN

description: This article examines how banking compliance in the Republic of Uzbekistan is changing under the influence of digital and intelligent technologies. While prior studies often focus on individual tools or regulatory aspects, this paper addresses the broader transformation of compliance from a narrowly control-oriented function into a strategic component of bank management. The study aims to demonstrate that RegTech solutions and artificial intelligence (AI) significantly enhance the efficiency, adaptability, and risk-oriented nature of compliance systems in commercial banks.

The research is based on systemic and institutional approaches and applies comparative analysis, generalization of statistical data, and expert assessments. The paper identifies key weaknesses of traditional compliance models and analyzes practical directions for implementing RegTech and AI in AML/CFT, KYC, and transaction monitoring. As a result, a three-level model of digital banking compliance is proposed, combining operational automation, analytical intelligence, and strategic decision support. The practical value of the study lies in concrete recommendations for commercial banks and the Central Bank of the Republic of Uzbekistan aimed at building a technologically sustainable and risk-oriented compliance system.
DOI: 10.5281/zenodo.17950555
title: Vertical air velocity profiles in Paris, France from 2023-08-20 to 2023-08-23 [L1]

description: Curated data files from Doppler Wind Lidar (DWL) measurements.
description: TECHNICAL INFO

Data curation was carried out. Only zenith angle observations are included, and quality control filters have been applied.

ACKNOWLEDGEMENTS

Authors thank SIRTA/LMD staff for providing support and facilities; ATMO-TNA-3—0000000125 funding; LISA (Laboratoire Interuniversitaire des Systèmes Atmosphériques), UMR CNRS 7583 for providing the measurement station space and access for the routine maintenance; management and concierge staff at Office public de l'habitat à Bagnolet, Bobigny for providing the measurement station space and access for the routine maintenance; staff at Domaine départemental de la Vallée aux Loups for providing the measurement station space and access for the routine maintenance.

COPYRIGHT NOTICE

Copyright Jeremy Price, Jörn Birkmann, Andreas Christen, Nektarios Chrysoulakis, and Sue Grimmond. Some rights reserved.

CREATOR NOTICE

This work is owned by the Principal Investigators (PIs) of the Urbisphere project.

DISCLAIMER NOTICE

The use of the work is at the user's own risk. The authors, the involved institutions, and/or the European Research Council accept no liability for material or non-material damage arising from the use or non-use or from the use of incorrect or incomplete information in this work. The authors, the involved institutions, and/or the European Research Council are not responsible for any use that may be made of the information in this work. The legal provisions remain unaffected.

MATERIAL NOTICE

The notices cover data in databases, text and images contained in the work.

MATERIAL URI

Urbisphere project

COPYRIGHT NOTICE

Copyright Jörn Birkmann, Andreas Christen, Nektarios Chrysoulakis, and Sue Grimmond. Some rights reserved.

CREATOR NOTICE

This work is owned by the Principal Investigators (PIs) of the Urbisphere project.

ATTRIBUTION NOTICE

The [creation and] curation of this work has been funded by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 855005). The processing of the data has received support from the UrbanAIR project funded by the European Union (grant agreement No 101188131).

DISCLAIMER NOTICE

The use of the work is at the user's own risk. The authors, the involved institutions, and/or the European Research Council accept no liability for material or non-material damage arising from the use or non-use or from the use of incorrect or incomplete information in this work. The authors, the involved institutions, and/or the European Research Council are not responsible for any use that may be made of the information in this work. The legal provisions remain unaffected.

MATERIAL NOTICE

The notices cover data in databases, text and images contained in the work.

MATERIAL URI

Urbisphere project

LICENSE URI

Creative Commons Attribution 4.0 International License
DOI: 10.5281/zenodo.17950554
title: Vertical air velocity profiles in Paris, France from 2023-08-20 to 2023-08-23 [L1]

description: Curated data files from Doppler Wind Lidar (DWL) measurements.
description: TECHNICAL INFO

Data curation was carried out. Only zenith angle observations are included, and quality control filters have been applied.

ACKNOWLEDGEMENTS

Authors thank SIRTA/LMD staff for providing support and facilities; ATMO-TNA-3—0000000125 funding; LISA (Laboratoire Interuniversitaire des Systèmes Atmosphériques), UMR CNRS 7583 for providing the measurement station space and access for the routine maintenance; management and concierge staff at Office public de l'habitat à Bagnolet, Bobigny for providing the measurement station space and access for the routine maintenance; staff at Domaine départemental de la Vallée aux Loups for providing the measurement station space and access for the routine maintenance.

COPYRIGHT NOTICE

Copyright Jeremy Price, Jörn Birkmann, Andreas Christen, Nektarios Chrysoulakis, and Sue Grimmond. Some rights reserved.

CREATOR NOTICE

This work is owned by the Principal Investigators (PIs) of the Urbisphere project.

DISCLAIMER NOTICE

The use of the work is at the user's own risk. The authors, the involved institutions, and/or the European Research Council accept no liability for material or non-material damage arising from the use or non-use or from the use of incorrect or incomplete information in this work. The authors, the involved institutions, and/or the European Research Council are not responsible for any use that may be made of the information in this work. The legal provisions remain unaffected.

MATERIAL NOTICE

The notices cover data in databases, text and images contained in the work.

MATERIAL URI

Urbisphere project

COPYRIGHT NOTICE

Copyright Jörn Birkmann, Andreas Christen, Nektarios Chrysoulakis, and Sue Grimmond. Some rights reserved.

CREATOR NOTICE

This work is owned by the Principal Investigators (PIs) of the Urbisphere project.

ATTRIBUTION NOTICE

The [creation and] curation of this work has been funded by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 855005). The processing of the data has received support from the UrbanAIR project funded by the European Union (grant agreement No 101188131).

DISCLAIMER NOTICE

The use of the work is at the user's own risk. The authors, the involved institutions, and/or the European Research Council accept no liability for material or non-material damage arising from the use or non-use or from the use of incorrect or incomplete information in this work. The authors, the involved institutions, and/or the European Research Council are not responsible for any use that may be made of the information in this work. The legal provisions remain unaffected.

MATERIAL NOTICE

The notices cover data in databases, text and images contained in the work.

MATERIAL URI

Urbisphere project

LICENSE URI

Creative Commons Attribution 4.0 International License
DOI: 10.5281/zenodo.18189071
title: Understanding the role of gut microbiome in the relationship between environment, S. mansoni infection and Cardiovascular risk.

description: This dataset containing sequences generated from a project that was investigating the mediatory effect of the gut microbiome in the link between the environment, Infection and cardiovacular risk. the links to preprints are : https://www.researchsquare.com/article/rs-7053382/v1 and https://www.researchsquare.com/article/rs-7108139/v1.
DOI: 10.3886/e242725
title: DQS NHIS Child Summary Statistics Footnotes

description: List of footnotes, notes, and source information for NHIS Child Summary Statistics. Each row of this dataset contains the accompanying text for a footnote found in the NHIS Child Summary Statistics Dataset.
description: (Downloaded 1/7/2026)
DOI: 10.3886/e242725v1
title: DQS NHIS Child Summary Statistics Footnotes

description: List of footnotes, notes, and source information for NHIS Child Summary Statistics. Each row of this dataset contains the accompanying text for a footnote found in the NHIS Child Summary Statistics Dataset.
description: (Downloaded 1/7/2026)
DOI: 10.15139/s3/yxp6rz
title: Data Management and Sharing Plan for: 3D tractography Focused ultrasound ablation for essential tremor

description: The Data Management and Sharing Plan describes the scientific data to be generated and/or used in the research and outlines a strategy for managing and sharing project data.
description: Data Management and Sharing Plan
DOI: 10.15468/dl.qd4p7r
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((71.974711 24.497538, 71.89754499999999 24.491961, 71.822299 24.475368, 71.750843 24.448173, 71.684952 24.411052, 71.626256 24.364926, 71.576204 24.310941, 71.536025 24.250434, 71.506698 24.184903, 71.48893200000001 24.115968, 71.483146 24.045331, 71.489463 23.974732, 71.50770799999999 23.905907, 71.537415 23.840548, 71.577838 23.780257, 71.62797500000001 23.726511, 71.68658600000001 23.680625, 71.752234 23.64372, 71.82330899999999 23.616697, 71.898076 23.600215, 71.974711 23.594676, 72.051346 23.600215, 72.126113 23.616697, 72.197188 23.64372, 72.26283599999999 23.680625, 72.32144700000001 23.726511, 72.371584 23.780257, 72.412007 23.840548, 72.441714 23.905907, 72.459959 23.974732, 72.46627599999999 24.045331, 72.46048999999999 24.115968, 72.442724 24.184903, 72.413397 24.250434, 72.37321799999999 24.310941, 72.323166 24.364926, 72.26447 24.411052, 72.198579 24.448173, 72.127123 24.475368, 72.051877 24.491961, 71.974711 24.497538))"},{"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 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082212-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18189570
title: MAKTABDAN TASHQARI TA'LIM MUASSASASIDA INFORMATIKA FANINI O'QITISHNING MAZMUNI VA USULLARI

description: Ushbu maqolada maktabdan tashqari ta’lim muassasalarida informatika fanini o‘qitishning mazmuni va usullari ilmiy-pedagogik nuqtai nazardan tahlil qilinadi. Informatika fanini o‘qitishda o‘quvchilarning yosh va individual xususiyatlarini hisobga olish, ta’lim jarayonini amaliy va kompetensiyaviy yondashuv asosida tashkil etish masalalariga alohida e’tibor qaratilgan. Shuningdek, zamonaviy axborot texnologiyalari, raqamli ta’lim resurslari, modul asosidagi ta’lim hamda fanlararo integratsiyaning ta’lim samaradorligini oshirishdagi o‘rni yoritib berilgan.
DOI: 10.5281/zenodo.18189571
title: MAKTABDAN TASHQARI TA'LIM MUASSASASIDA INFORMATIKA FANINI O'QITISHNING MAZMUNI VA USULLARI

description: Ushbu maqolada maktabdan tashqari ta’lim muassasalarida informatika fanini o‘qitishning mazmuni va usullari ilmiy-pedagogik nuqtai nazardan tahlil qilinadi. Informatika fanini o‘qitishda o‘quvchilarning yosh va individual xususiyatlarini hisobga olish, ta’lim jarayonini amaliy va kompetensiyaviy yondashuv asosida tashkil etish masalalariga alohida e’tibor qaratilgan. Shuningdek, zamonaviy axborot texnologiyalari, raqamli ta’lim resurslari, modul asosidagi ta’lim hamda fanlararo integratsiyaning ta’lim samaradorligini oshirishdagi o‘rni yoritib berilgan.
DOI: 10.13140/rg.2.2.31439.55204
title: Schedule Planner Demo
DOI: 10.15468/dl.f23jtw
title: Occurrence Download

description: A dataset containing 191350 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (Canada, Mexico, United States of America)",
 "EventDate is greater than or equal to 2025-12-14",
 "EventDate is less than or equal to 2026-01-13",
 {
 "not" : {
 "Issue" : [
 "is one of (Basis of record invalid, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate precision invalid, Coordinate uncertainty meters invalid, Country mismatch, Country invalid, Geodetic datum invalid, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Country coordinate mismatch)"
 ]
 }
 },
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 191350 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082203-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18189311
title: Media Cloud Geographic Collections

description: This dataset includes a snapshot of Media Cloud's geographic collections, associated sources, and mappings between collections to sources.
DOI: 10.5281/zenodo.18189310
title: Media Cloud Geographic Collections

description: This dataset includes a snapshot of Media Cloud's geographic collections, associated sources, and mappings between collections to sources.
DOI: 10.15468/dl.7mtepp
title: Occurrence Download

description: A dataset containing 61 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bothrops osbornei"
 ]
}

 The dataset includes 61 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082214-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e242726
title: National Health Interview Survey (NHIS) - Mental Health Indicators

description: Data source description - Adults: NHIS monitors the health of the U.S. population by collecting and analyzing data on a broad range of health topics. Interviews are conducted continuously throughout the year, and are initiated in-person, with telephone follow-up. NHIS focuses on the health of children and adults in the United States. One adult household member is randomly selected to be the subject of a detailed health interview. If children are present, one child is also randomly selected. Adults answer on their own behalf, while a knowledgeable adult answers on behalf of the selected child. NHIS topics featured include adult life satisfaction, anxiety, depression, mental health conditions, mental health care, and social and emotional support.


Data source description - Teenagers: NHIS-Teen was a web-based health survey of teenagers between the ages of 12 to 17. Answers from teenagers helped paint a picture of the health of teenagers living in the United States.â€¯NHIS-Teen covered questions on a variety of health topics, including doctor visits, mental health, and social and emotional support. Data were collected between July 2021 and December 2023.â€¯


For additional information, please see: Mental Health Data Sources.
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description: (Downloaded 1/7/2026)
DOI: 10.3886/e242726v1
title: National Health Interview Survey (NHIS) - Mental Health Indicators

description: Data source description - Adults: NHIS monitors the health of the U.S. population by collecting and analyzing data on a broad range of health topics. Interviews are conducted continuously throughout the year, and are initiated in-person, with telephone follow-up. NHIS focuses on the health of children and adults in the United States. One adult household member is randomly selected to be the subject of a detailed health interview. If children are present, one child is also randomly selected. Adults answer on their own behalf, while a knowledgeable adult answers on behalf of the selected child. NHIS topics featured include adult life satisfaction, anxiety, depression, mental health conditions, mental health care, and social and emotional support.


Data source description - Teenagers: NHIS-Teen was a web-based health survey of teenagers between the ages of 12 to 17. Answers from teenagers helped paint a picture of the health of teenagers living in the United States.â€¯NHIS-Teen covered questions on a variety of health topics, including doctor visits, mental health, and social and emotional support. Data were collected between July 2021 and December 2023.â€¯


For additional information, please see: Mental Health Data Sources.
Read less
description: (Downloaded 1/7/2026)