cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48597/wftt-fekd
title: Measurement of Aerosol light scattering at Pic du Midi

description: Measurement of Aerosol light scattering at Pic du Midi
DOI: 10.48597/xjzt-erv5
title: Measurement of Aerosol_absorption_coefficient at Mount Chacaltaya

description: Measurement of Aerosol_absorption_coefficient at Mount Chacaltaya
DOI: 10.48597/y4qu-fryr
title: Measurement of Pm10_mass at Eibergen

description: Measurement of Pm10_mass at Eibergen
DOI: 10.48597/y4t4-82v6
title: Measurement of HCBD at Alert

description: Measurement of HCBD at Alert
DOI: 10.48597/yc4g-2nms
title: Measurement of Ozone at Marambio

description: Measurement of Ozone at Marambio
DOI: 10.48597/yh5k-jyct
title: Measurement of Sulphur_dioxide at De Zilk

description: Measurement of Sulphur_dioxide at De Zilk
DOI: 10.48597/yk73-w2rf
title: Measurement of Carbon_monoxide at Cabauw Wielsekade

description: Measurement of Carbon_monoxide at Cabauw Wielsekade
DOI: 10.48597/yz84-ajcd
title: Measurement of Ethane at San Pablo de los Montes

description: Measurement of Ethane at San Pablo de los Montes
DOI: 10.48597/zaex-7nc7
title: Measurement of Heavy metals and inorganics in air and particle phase at Bilthoven

description: Measurement of Heavy metals and inorganics in air and particle phase at Bilthoven
DOI: 10.48597/zezm-y3xt
title: Measurement of Heavy metals and inorganics in air and particle phase at Cabauw Wielsekade

description: Measurement of Heavy metals and inorganics in air and particle phase at Cabauw Wielsekade
DOI: 10.48597/zsr7-8pdw
title: Measurement of Cis-2-butene at San Pablo de los Montes

description: Measurement of Cis-2-butene at San Pablo de los Montes
DOI: 10.48597/4a8m-2zwk
title: Measurement of Heavy metals at Kårvatn

description: Measurement of Heavy metals at Kårvatn
DOI: 10.48597/7egd-bjtg
title: Measurement of Ozone at Concordia, Dôme C

description: Measurement of Ozone at Concordia, Dôme C
DOI: 10.48597/c254-ku2m
title: Measurement of Aerosol_absorption_coefficient at Mauna Loa

description: Measurement of Aerosol_absorption_coefficient at Mauna Loa
DOI: 10.48597/cyng-hgsq
title: Measurement of Inorganics in air and particle phase at Birkenes II

description: Measurement of Inorganics in air and particle phase at Birkenes II
DOI: 10.48597/e3gd-37we
title: Measurement of Inorganics in precipitation at Høylandet

description: Measurement of Inorganics in precipitation at Høylandet
DOI: 10.48597/e6z7-s357
title: Measurement of Ozone at La Réunion - Maïdo atmospheric observatory

description: Measurement of Ozone at La Réunion - Maïdo atmospheric observatory
DOI: 10.48597/e97r-4gkc
title: Measurement of Sum_nitric_acid_and_nitrate at Hurdal

description: Measurement of Sum_nitric_acid_and_nitrate at Hurdal
DOI: 10.48597/ectw-q8qq
title: Measurement of Heavy metals and inorganics in air and particle phase at Montseny

description: Measurement of Heavy metals and inorganics in air and particle phase at Montseny
DOI: 10.48597/ewgk-nmn4
title: Measurement of Wind_direction at Giordan Lighthouse

description: Measurement of Wind_direction at Giordan Lighthouse
DOI: 10.48597/fkn4-hrn5
title: Measurement of Sum_nitric_acid_and_nitrate at Tustervatn

description: Measurement of Sum_nitric_acid_and_nitrate at Tustervatn
DOI: 10.48597/h4u9-6tpa
title: Measurement of Nitrogen_monoxide at Zugspitze-Schneefernerhaus

description: Measurement of Nitrogen_monoxide at Zugspitze-Schneefernerhaus
DOI: 10.48597/h9wc-2wcy
title: Measurement of Sum_ammonia_and_ammonium at Birkenes II

description: Measurement of Sum_ammonia_and_ammonium at Birkenes II
DOI: 10.48597/hcec-vu68
title: Measurement of Sum_nitric_acid_and_nitrate at Birkenes II

description: Measurement of Sum_nitric_acid_and_nitrate at Birkenes II
DOI: 10.48597/j7ya-emrk
title: Measurement of Sum_nitric_acid_and_nitrate at Ny-Ålesund - Transformatorbua

description: Measurement of Sum_nitric_acid_and_nitrate at Ny-Ålesund - Transformatorbua
DOI: 10.48597/jemd-ekmy
title: Measurement of Particle_number_concentration at Hyytiälä

description: Measurement of Particle_number_concentration at Hyytiälä
DOI: 10.48597/jjgc-3k7c
title: Measurement of Sum_ammonia_and_ammonium at Kårvatn

description: Measurement of Sum_ammonia_and_ammonium at Kårvatn
DOI: 10.48597/jtq5-a257
title: Measurement of Inorganics in air and particle phase at Ny-Ålesund - Transformatorbua

description: Measurement of Inorganics in air and particle phase at Ny-Ålesund - Transformatorbua
DOI: 10.48597/m537-jtx6
title: Measurement of Relative_humidity at Giordan Lighthouse

description: Measurement of Relative_humidity at Giordan Lighthouse
DOI: 10.48597/mtjz-5a7d
title: Measurement of Ozone at Izana

description: Measurement of Ozone at Izana
DOI: 10.48597/ncxk-rxj4
title: Measurement of Heavy metals at Saint-Nazaire-le-Désert

description: Measurement of Heavy metals at Saint-Nazaire-le-Désert
DOI: 10.48597/pcwj-nhz4
title: Measurement of Particle_number_size_distribution at Barcelona

description: Measurement of Particle_number_size_distribution at Barcelona
DOI: 10.6084/m9.figshare.25145677.v1
title: Assessing COVID-19 Prevalence in Austria with Infection Surveys and Case Count Data as Auxiliary Information

description: Countries officially record the number of COVID-19 cases based on medical tests of a subset of the population. These case count data obviously suffer from participation bias, and for prevalence estimation, these data are typically discarded in favor of infection surveys, or possibly also completed with auxiliary information. One exception is the series of infection surveys recorded by the Statistics Austria Federal Institute to study the prevalence of COVID-19 in Austria in April, May, and November 2020. In these infection surveys, participants were additionally asked if they were simultaneously recorded as COVID-19 positive in the case count data. In this article, we analyze the benefits of properly combining the outcomes from the infection survey with the case count data, to analyze the prevalence of COVID-19 in Austria in 2020, from which the case ascertainment rate can be deduced. The results show that our approach leads to a significant efficiency gain. Indeed, considerably smaller infection survey samples suffice to obtain the same level of estimation accuracy. Our estimation method can also handle measurement errors due to the sensitivity and specificity of medical testing devices and to the nonrandom sample weighting scheme of the infection survey. The proposed estimators and associated confidence intervals are implemented in the companion open source R package pempi available on the Comprehensive R Archive Network (CRAN). Supplementary materials for this article are available online including a standardized description of the materials available for reproducing the work.
DOI: 10.6084/m9.figshare.25145677
title: Assessing COVID-19 Prevalence in Austria with Infection Surveys and Case Count Data as Auxiliary Information

description: Countries officially record the number of COVID-19 cases based on medical tests of a subset of the population. These case count data obviously suffer from participation bias, and for prevalence estimation, these data are typically discarded in favor of infection surveys, or possibly also completed with auxiliary information. One exception is the series of infection surveys recorded by the Statistics Austria Federal Institute to study the prevalence of COVID-19 in Austria in April, May, and November 2020. In these infection surveys, participants were additionally asked if they were simultaneously recorded as COVID-19 positive in the case count data. In this article, we analyze the benefits of properly combining the outcomes from the infection survey with the case count data, to analyze the prevalence of COVID-19 in Austria in 2020, from which the case ascertainment rate can be deduced. The results show that our approach leads to a significant efficiency gain. Indeed, considerably smaller infection survey samples suffice to obtain the same level of estimation accuracy. Our estimation method can also handle measurement errors due to the sensitivity and specificity of medical testing devices and to the nonrandom sample weighting scheme of the infection survey. The proposed estimators and associated confidence intervals are implemented in the companion open source R package pempi available on the Comprehensive R Archive Network (CRAN). Supplementary materials for this article are available online including a standardized description of the materials available for reproducing the work.
DOI: 10.6084/m9.figshare.25130426
title: Heterogeneity Analysis on Multi-State Brain Functional Connectivity and Adolescent Neurocognition

description: Brain functional connectivity or connectome, a unique measure for brain functional organization, provides a great potential to explain the neurobiological underpinning of behavioral profiles. Existing connectome-based analyses highly concentrate on brain activities under a single cognitive state, and fail to consider heterogeneity when attempting to characterize brain-to-behavior relationships. In this work, we study the complex impact of multi-state functional connectivity on behaviors by analyzing the data from a recent landmark brain development and child health study. We propose a nonparametric, Bayesian supervised heterogeneity analysis to uncover neurodevelopmental subtypes with distinct effect mechanisms. We impose stochastic block structures to identify network-based functional phenotypes and develop a variational expectation-maximization algorithm to facilitate an efficient posterior computation. Through integrating resting-state and task-related functional connectomes, we dissect heterogeneous effect mechanisms on children’s fluid intelligence from the functional network phenotypes, including Fronto-parietal Network and Default Mode Network, under different cognitive states. Based on extensive simulations, we further confirm the superior performance of our method on uncovering brain-to-behavior relationships. Supplementary materials for this article are available online including a standardized description of the materials available for reproducing the work.
DOI: 10.6084/m9.figshare.25130426.v2
title: Heterogeneity Analysis on Multi-State Brain Functional Connectivity and Adolescent Neurocognition

description: Brain functional connectivity or connectome, a unique measure for brain functional organization, provides a great potential to explain the neurobiological underpinning of behavioral profiles. Existing connectome-based analyses highly concentrate on brain activities under a single cognitive state, and fail to consider heterogeneity when attempting to characterize brain-to-behavior relationships. In this work, we study the complex impact of multi-state functional connectivity on behaviors by analyzing the data from a recent landmark brain development and child health study. We propose a nonparametric, Bayesian supervised heterogeneity analysis to uncover neurodevelopmental subtypes with distinct effect mechanisms. We impose stochastic block structures to identify network-based functional phenotypes and develop a variational expectation-maximization algorithm to facilitate an efficient posterior computation. Through integrating resting-state and task-related functional connectomes, we dissect heterogeneous effect mechanisms on children’s fluid intelligence from the functional network phenotypes, including Fronto-parietal Network and Default Mode Network, under different cognitive states. Based on extensive simulations, we further confirm the superior performance of our method on uncovering brain-to-behavior relationships. Supplementary materials for this article are available online including a standardized description of the materials available for reproducing the work.
DOI: 10.6084/m9.figshare.25130426.v1
title: Heterogeneity Analysis on Multi-state Brain Functional Connectivity and Adolescent Neurocognition

description: Brain functional connectivity or connectome, a unique measure for brain functional organization, provides a great potential to explain the neurobiological underpinning of behavioral profiles. Existing connectome-based analyses highly concentrate on brain activities under a single cognitive state, and fail to consider heterogeneity when attempting to characterize brain-to-behavior relationships. In this work, we study the complex impact of multi-state functional connectivity on behaviors by analyzing the data from a recent landmark brain development and child health study. We propose a nonparametric, Bayesian supervised heterogeneity analysis to uncover neurodevelopmental subtypes with distinct effect mechanisms. We impose stochastic block structures to identify network-based functional phenotypes and develop a variational expectation–maximization algorithm to facilitate an efficient posterior computation. Through integrating resting-state and task-related functional connectomes, we dissect heterogeneous effect mechanisms on children’s fluid intelligence from the functional network phenotypes including Fronto-parietal Network and Default Mode Network under different cognitive states. Based on extensive simulations, we further confirm the superior performance of our method on uncovering brain-to-behavior relationships.
DOI: 10.48597/uzwh-5zxy
title: Measurement of Iron and inorganics in air and particle phase at Irafoss

description: Measurement of Iron and inorganics in air and particle phase at Irafoss
DOI: 10.7927/h4pr7sx1
title: Gridded Population of the World, Version 4 (GPWv4): Population Count Adjusted to Match 2015 UN WPP Country Totals, Beta Release

description: The Gridded Population of the World, Version 4 (GPWv4) Population Count Adjusted to Match 2015 Revision of UN WPP Country Totals, Beta Release consists of estimates of human population consistent with national censuses and population registers with respect to relative spatial distribution, but adjusted to match the 2015 Revision of UN World Population Prospects country totals for the years 2000, 2005, 2010, 2015, and 2020. A proportional allocation gridding algorithm, utilizing approximately 12.5 million national and sub-national administrative units, is used to assign population values to 30 arc-second (~1 km) grid cells. The grids contain estimates of the number of persons per grid cell.
DOI: 10.48597/vc5t-gppa
title: Measurement of Heavy metals at Saint-Nazaire-le-Désert

description: Measurement of Heavy metals at Saint-Nazaire-le-Désert
DOI: 10.48597/vpdp-7q8g
title: Measurement of Sum_nitric_acid_and_nitrate at Kårvatn

description: Measurement of Sum_nitric_acid_and_nitrate at Kårvatn
DOI: 10.48597/vs4d-hxbq
title: Measurement of Sulphur_dioxide at Iskrba

description: Measurement of Sulphur_dioxide at Iskrba
DOI: 10.48597/vybm-bwh4
title: Measurement of Inorganics in precipitation at Irafoss

description: Measurement of Inorganics in precipitation at Irafoss
DOI: 10.48597/wdmv-9hmb
title: Measurement of Inorganics in air and particle phase at Tustervatn

description: Measurement of Inorganics in air and particle phase at Tustervatn
DOI: 10.48597/xfv8-6m3h
title: Measurement of Inorganics in air and particle phase at Hurdal

description: Measurement of Inorganics in air and particle phase at Hurdal
DOI: 10.48597/ym5n-rfp9
title: Measurement of Inorganics in precipitation at Treungen

description: Measurement of Inorganics in precipitation at Treungen
DOI: 10.48597/yn5t-p8kz
title: Measurement of Wind_speed at Giordan Lighthouse

description: Measurement of Wind_speed at Giordan Lighthouse
DOI: 10.48597/yuvp-6sq7
title: Measurement of Sum_ammonia_and_ammonium at Ny-Ålesund - Transformatorbua

description: Measurement of Sum_ammonia_and_ammonium at Ny-Ålesund - Transformatorbua
DOI: 10.48597/yzm4-z6ts
title: Measurement of Heavy metals and inorganics in air and particle phase at Montseny

description: Measurement of Heavy metals and inorganics in air and particle phase at Montseny
DOI: 10.48597/z38e-ar5x
title: Measurement of Sum_ammonia_and_ammonium at Hurdal

description: Measurement of Sum_ammonia_and_ammonium at Hurdal
DOI: 10.48597/zvax-vgh6
title: Measurement of Temperature at Giordan Lighthouse

description: Measurement of Temperature at Giordan Lighthouse
DOI: 10.48597/zzdu-vnam
title: Measurement of Inorganics in precipitation at Nausta

description: Measurement of Inorganics in precipitation at Nausta
DOI: 10.48597/22py-3mu3
title: Measurement of HBB at Alert

description: Measurement of HBB at Alert
DOI: 10.48597/283g-akfb
title: Measurement of Syn_DP at Alert

description: Measurement of Syn_DP at Alert
DOI: 10.48597/2zhj-b32c
title: Measurement of PBBA at Alert

description: Measurement of PBBA at Alert
DOI: 10.48597/389m-kvcz
title: Measurement of BEHTBP at Alert

description: Measurement of BEHTBP at Alert
DOI: 10.48597/3g4b-zn8c
title: Measurement of Carbon_monoxide at Zeppelin mountain (Ny-Ålesund)

description: Measurement of Carbon_monoxide at Zeppelin mountain (Ny-Ålesund)
DOI: 10.48597/3pyj-qyjg
title: Measurement of Anti_DP at Alert

description: Measurement of Anti_DP at Alert
DOI: 10.48597/3u4m-abky
title: Measurement of OBIND at Alert

description: Measurement of OBIND at Alert
DOI: 10.48597/489k-snps
title: Measurement of PBBZ at Alert

description: Measurement of PBBZ at Alert
DOI: 10.48597/4gve-cbdz
title: Measurement of PBBZ at Alert

description: Measurement of PBBZ at Alert
DOI: 10.48597/4rv9-dz32
title: Measurement of Syn_DP at Alert

description: Measurement of Syn_DP at Alert
DOI: 10.48597/4vq3-rnc9
title: Measurement of OBIND at Alert

description: Measurement of OBIND at Alert
DOI: 10.48597/4yzd-hxtw
title: Measurement of Sulphur_dioxide at Capo Granitola

description: Measurement of Sulphur_dioxide at Capo Granitola
DOI: 10.48597/52rn-5dc6
title: Measurement of TBCT at Alert

description: Measurement of TBCT at Alert
DOI: 10.48597/5958-ktbn
title: Measurement of Organic_carbon at Birkenes II

description: Measurement of Organic_carbon at Birkenes II
DOI: 10.48597/5n6m-nzzb
title: Measurement of HBB at Alert

description: Measurement of HBB at Alert
DOI: 10.48597/5ta4-ehuj
title: Measurement of HBB at Alert

description: Measurement of HBB at Alert
DOI: 10.48597/5zuv-9u98
title: Measurement of BEHTBP at Alert

description: Measurement of BEHTBP at Alert
DOI: 10.48597/79g6-y34t
title: Measurement of DPTE at Alert

description: Measurement of DPTE at Alert
DOI: 10.48597/7azz-rspe
title: Measurement of ATE at Alert

description: Measurement of ATE at Alert
DOI: 10.48597/7dcg-k8bc
title: Measurement of OC/EC at Birkenes II

description: Measurement of OC/EC at Birkenes II
DOI: 10.48597/7j5s-4qx3
title: Measurement of TBCT at Alert

description: Measurement of TBCT at Alert
DOI: 10.48597/7n3t-9m6g
title: Measurement of Organic_carbon at Birkenes II

description: Measurement of Organic_carbon at Birkenes II
DOI: 10.48597/89qt-bzfh
title: Measurement of PBBA at Alert

description: Measurement of PBBA at Alert
DOI: 10.48597/8v2d-v7tw
title: Measurement of TBCT at Alert

description: Measurement of TBCT at Alert
DOI: 10.48597/9f8s-xnna
title: Measurement of Syn_DP at Alert

description: Measurement of Syn_DP at Alert
DOI: 10.48597/9yg6-2da8
title: Measurement of Syn_DP at Alert

description: Measurement of Syn_DP at Alert
DOI: 10.48597/afj6-jf28
title: Measurement of DPTE at Alert

description: Measurement of DPTE at Alert
DOI: 10.48597/atfa-62nj
title: Measurement of PBBA at Alert

description: Measurement of PBBA at Alert
DOI: 10.48597/avsc-8tpp
title: Measurement of BTBPE at Alert

description: Measurement of BTBPE at Alert
DOI: 10.15468/dl.da85j9
title: Occurrence Download

description: A dataset containing 18054318 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is Colombia",
 "Geometry POLYGON((-78.17304 -5.08487,-64.95948 -5.08487,-64.95948 11.93865,-78.17304 11.93865,-78.17304 -5.08487))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 18054318 records from 2200 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070280-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ypwjgn
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Barleria cristata",
 "Country is Niue",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037160-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xb989g
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Olyra horae)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037158-250827131500795/datasets/export for details.
DOI: 10.15468/dl.sxb4gg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Barleria cristata",
 "Country is Palau",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037161-250827131500795/datasets/export for details.
DOI: 10.15468/dl.vfve3z
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Barleria cristata",
 "Country is Panama",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037162-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b8cfe2
title: Occurrence Download

description: A dataset containing 132888 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lemna trisulca"
 ]
}

 The dataset includes 132888 records from 872 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037048-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9826xy
title: Occurrence Download

description: A dataset containing 29066 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhus glabra"
 ]
}

 The dataset includes 29066 records from 336 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037159-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8m8pk3
title: Occurrence Download

description: A dataset containing 350613 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lemna minor"
 ]
}

 The dataset includes 350613 records from 1796 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037044-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7a3jy6
title: Occurrence Download

description: A dataset containing 300 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eragrostis planiculmis Nees"
 ]
}

 The dataset includes 300 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046458-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.