cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.12754/data-2025-0017
title: Hydroacoustic Dataset for Assessing Bottom Trawling Intensity in the Fehmarn Belt (MPA): Collected during Cruise No. EMB267, on 10 Jun 2021
title: What AIS misses and Acoustics reveal: Monitoring Seafloor Disturbance and Recovery from Bottom Trawling in the southern Baltic Sea over five years

description: Scientific purpose: Monitor potential effects of closure for bottom fishing in the marine protected areas (MPAs) of the western Baltic Sea – MGF Baltic Sea Projects (funded by BMBF)
description: Keywords: bottom trawling, acoustic remote sensing, seafloor disturbance, monitoring, MBES, MGF-Ostsee, Baltic Sea, MPA
description: This study evaluates bottom trawling intensity and its ecological effects in the Fehmarn Belt (southern Baltic Sea) between 2020 and 2024. The region is dominated by small-scale fishing vessels (&lt; 12 m length) and therefore, conventional Vessel Monitoring System (VMS) data are unavailable. We compare changes in seafloor integrity caused by bottom trawling with fishing activity inferred from Automatic Identification System (AIS) tracking. Trawling intensity was quantified using a previously developed trawling index (TI) based on furrow volume derived from multibeam echosounder (MBES) data. A pronounced alteration in seafloor integrity was observed between 2021 and 2022, with furrow volumes decreasing from 5,067 m3 to 1,108 m3 over an area of 3.4 km2. This trend was not recorded by AIS-derived fishing activity, which showed only slight changes in vessel track counts. Spatial and temporal fluctuations in abundance, biomass, and community structure were revealed through repeated macrofauna sampling. The fluctuations are likely linked to shifting trawling pressure, most likely based on the ban of a fishery targeting cod in the Western Baltic. These biological responses did not follow a linear trend but suggest a dynamic equilibrium may be reached over time. Although MBES data cannot replace AIS for tracking fishing effort, it can supplement and improve the AIS information, providing insights into physical impacts and benthic responses in regions of interest. Integrating MBES-derived indicators identifies the spatial extent of the seabed affected by bottom trawling, thereby strengthening ecological monitoring frameworks and supporting sustainable seabed management, including in marine spatial planning.
description: Data collected using a R2Sonic 2024, Broadband multibeam
description: Bottom trawling monitoring time series in the Fehmarn Belt 2020-2024
description: File columns ['beam','lon','lat','depth','ping'] with coordinates in EPSG: 32632
description: Sound speed corrected footprints exported from QPS-Qimera version 2.6.2
DOI: 10.48597/qv8d-avy7
title: Inorganics in air and particle phase at Starina

description: Measurement of Inorganics in air and particle phase at Starina
DOI: 10.48597/s2t2-x888
title: Measurement of Nitrogen_dioxide at Chopok

description: Measurement of Nitrogen_dioxide at Chopok
DOI: 10.48597/yanr-s34d
title: Inorganics in air and particle phase at Chopok

description: Measurement of Inorganics in air and particle phase at Chopok
DOI: 10.48597/6zfw-wvgx
title: Measurement of Inorganics in air and particle phase at Bredkälen

description: Measurement of Inorganics in air and particle phase at Bredkälen
DOI: 10.48597/hz7y-d26v
title: Measurement of Inorganics in air and particle phase at Chopok

description: Measurement of Inorganics in air and particle phase at Chopok
DOI: 10.5281/zenodo.17912321
title: Rendements privés de l'investissement éducatif au Sénégal : impact des secteurs d'activité

description: Au Sénégal, l’éducation et la formation se placent au cœur des priorités de l’Etat et des ménages. D’après les données de DPRE (2018), seulement en moins de dix (10) ans, les investissements publics dans l’éducation ont connu une augmentation moyenne d’environ 7 points en pourcentage du PIB. En plus, selon les données disponibles (ESAM, EHCVM), les investissements éducatifs par les ménages se sont accrus de 2,83% en moyenne.  Toutefois, le système éducatif sénégalais est marqué par une inefficience interne, entrainant des pertes d’investissement de l’Etat et de la communauté. Aussi, plus de 80% de la population en emploi se trouvent dans la tranche de revenu la plus faible. Ces faits relevés ne semblent pas ainsi corroborer les théories du capital humain motivant l’investissement dans l’éducation. 

Dans cet article, nous analysons les rendements privés de l’investissement dans l’éducation à travers les différents secteurs d’activité au Sénégal. En appliquant la méthode des moments généralisés (GMM) aux données de l’enquête nationale sur l’Emploi au Sénégal (ENES 2015), les résultats montrent que le rendement privé du diplôme est de 18,9% ; en plus, le revenu est fonction croissante du niveau de diplôme obtenu par l’individu. Aussi, le secteur d’activité dans lequel les diplômés sont insérés n’a pas d’impact sur l’accroissement de leur revenu, en raison, particulièrement, de la rigidité des salaires sur le marché du travail sénégalais.

En termes d’implications de politiques, les ménages doivent investir davantage dans l’éducation, surtout pour les niveaux supérieurs pour maximiser leurs revenus. Aussi, le gouvernement doit-il veiller au développement du secteur tertiaire afin de faciliter l’insertion chez les plus diplômés (BAC+5 et plus) et permettre une meilleure valorisation du diplôme.
DOI: 10.48597/zf2b-5dgr
title: Inorganics in air and particle phase at Bredkälen

description: Measurement of Inorganics in air and particle phase at Bredkälen
DOI: 10.5281/zenodo.17912320
title: Rendements privés de l'investissement éducatif au Sénégal : impact des secteurs d'activité

description: Au Sénégal, l’éducation et la formation se placent au cœur des priorités de l’Etat et des ménages. D’après les données de DPRE (2018), seulement en moins de dix (10) ans, les investissements publics dans l’éducation ont connu une augmentation moyenne d’environ 7 points en pourcentage du PIB. En plus, selon les données disponibles (ESAM, EHCVM), les investissements éducatifs par les ménages se sont accrus de 2,83% en moyenne.  Toutefois, le système éducatif sénégalais est marqué par une inefficience interne, entrainant des pertes d’investissement de l’Etat et de la communauté. Aussi, plus de 80% de la population en emploi se trouvent dans la tranche de revenu la plus faible. Ces faits relevés ne semblent pas ainsi corroborer les théories du capital humain motivant l’investissement dans l’éducation. 

Dans cet article, nous analysons les rendements privés de l’investissement dans l’éducation à travers les différents secteurs d’activité au Sénégal. En appliquant la méthode des moments généralisés (GMM) aux données de l’enquête nationale sur l’Emploi au Sénégal (ENES 2015), les résultats montrent que le rendement privé du diplôme est de 18,9% ; en plus, le revenu est fonction croissante du niveau de diplôme obtenu par l’individu. Aussi, le secteur d’activité dans lequel les diplômés sont insérés n’a pas d’impact sur l’accroissement de leur revenu, en raison, particulièrement, de la rigidité des salaires sur le marché du travail sénégalais.

En termes d’implications de politiques, les ménages doivent investir davantage dans l’éducation, surtout pour les niveaux supérieurs pour maximiser leurs revenus. Aussi, le gouvernement doit-il veiller au développement du secteur tertiaire afin de faciliter l’insertion chez les plus diplômés (BAC+5 et plus) et permettre une meilleure valorisation du diplôme.
DOI: 10.48597/mbr7-vsaz
title: Measurement of Inorganics in air and particle phase at Bredkälen

description: Measurement of Inorganics in air and particle phase at Bredkälen
DOI: 10.48597/u4v6-m5be
title: Inorganics in air and particle phase at Bredkälen

description: Measurement of Inorganics in air and particle phase at Bredkälen
DOI: 10.48597/j5kw-ahma
title: Measurement of Inorganics in air and particle phase at Hallahus

description: Measurement of Inorganics in air and particle phase at Hallahus
DOI: 10.48597/jyjx-p6qa
title: Inorganics in air and particle phase at Hallahus

description: Measurement of Inorganics in air and particle phase at Hallahus
DOI: 10.48597/4g6u-ea8c
title: Measurement of Inorganics in air and particle phase at Råö

description: Measurement of Inorganics in air and particle phase at Råö
DOI: 10.48597/a6nr-ft7b
title: Inorganics in air and particle phase at Råö

description: Measurement of Inorganics in air and particle phase at Råö
DOI: 10.48597/erdq-ye66
title: Inorganics in air and particle phase at Norunda Stenen

description: Measurement of Inorganics in air and particle phase at Norunda Stenen
DOI: 10.48597/nr2j-f625
title: Measurement of Inorganics in air and particle phase at Norunda Stenen

description: Measurement of Inorganics in air and particle phase at Norunda Stenen
DOI: 10.48597/eze4-s2qb
title: Measurement of Aerosol light scattering at Montseny

description: Measurement of Aerosol light scattering at Montseny
DOI: 10.48597/3n8d-4a43
title: Measurement of Precipitation_amount at Kotinen

description: Measurement of Precipitation_amount at Kotinen
DOI: 10.48597/dyxz-zh2e
title: Measurement of Mercury at Pallas (Matorova)

description: Measurement of Mercury at Pallas (Matorova)
DOI: 10.48597/bp89-p3ng
title: Measurement of Inorganics in precipitation at Abisko

description: Measurement of Inorganics in precipitation at Abisko
DOI: 10.48597/k9jn-bws9
title: Mercury at Pallas (Matorova)

description: Measurement of Mercury at Pallas (Matorova)
DOI: 10.48597/zfjc-fhwg
title: OC/EC at Pallas (Matorova)

description: Measurement of OC/EC at Pallas (Matorova)
DOI: 10.48597/n5xs-xwzj
title: Measurement of Nitrogen_dioxide at Starina

description: Measurement of Nitrogen_dioxide at Starina
DOI: 10.15468/dl.6cyvec
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
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 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049440-251120083545085/datasets/export for details.
DOI: 10.48597/23bx-n9ky
title: Measurement of HCH (hexachlorocyclohexanes) at Råö

description: Measurement of HCH (hexachlorocyclohexanes) at Råö
DOI: 10.48597/bstf-dyqe
title: Measurement of Inorganics in air and particle phase at Starina

description: Measurement of Inorganics in air and particle phase at Starina
DOI: 10.48597/9tuz-dnbs
title: Measurement of HCH (hexachlorocyclohexanes) at Norunda Stenen

description: Measurement of HCH (hexachlorocyclohexanes) at Norunda Stenen
DOI: 10.48597/cnw2-g927
title: Measurement of HCH (hexachlorocyclohexanes) at Råö

description: Measurement of HCH (hexachlorocyclohexanes) at Råö
DOI: 10.48597/d67s-8d9n
title: Measurement of HCH (hexachlorocyclohexanes) at Norunda Stenen

description: Measurement of HCH (hexachlorocyclohexanes) at Norunda Stenen
DOI: 10.48597/pnkn-qahu
title: Measurement of PBDEs (polybrominated diphenyl ethers) at Råö

description: Measurement of PBDEs (polybrominated diphenyl ethers) at Råö
DOI: 10.48597/6mdc-wuwd
title: HCH (hexachlorocyclohexanes) at Råö

description: Measurement of HCH (hexachlorocyclohexanes) at Råö
DOI: 10.48597/bk4j-tmmp
title: HCH (hexachlorocyclohexanes) at Norunda Stenen

description: Measurement of HCH (hexachlorocyclohexanes) at Norunda Stenen
DOI: 10.48597/ecg9-m87u
title: PBDEs (polybrominated diphenyl ethers) at Råö

description: Measurement of PBDEs (polybrominated diphenyl ethers) at Råö
DOI: 10.48597/myej-p9d2
title: HCH (hexachlorocyclohexanes) at Norunda Stenen

description: Measurement of HCH (hexachlorocyclohexanes) at Norunda Stenen
DOI: 10.48597/u5mn-gdxy
title: HCH (hexachlorocyclohexanes) at Råö

description: Measurement of HCH (hexachlorocyclohexanes) at Råö
DOI: 10.48597/4bj9-nks6
title: Measurement of Nitrogen oxides at O Saviñao

description: Measurement of Nitrogen oxides at O Saviñao
DOI: 10.48597/63rm-8a8v
title: Measurement of Nitrogen oxides at Barcarrota

description: Measurement of Nitrogen oxides at Barcarrota
DOI: 10.48597/6n3s-b777
title: Measurement of MCCPs and SCCPs at Norunda Stenen

description: Measurement of MCCPs and SCCPs at Norunda Stenen
DOI: 10.48597/9d4k-5kyq
title: Measurement of Nitrogen oxides at Niembro

description: Measurement of Nitrogen oxides at Niembro
DOI: 10.48597/9ue4-4zv3
title: Measurement of Nitrogen oxides at Cabo de Creus

description: Measurement of Nitrogen oxides at Cabo de Creus
DOI: 10.48597/bh5c-fgqa
title: Measurement of Nitrogen oxides at Campisabalos

description: Measurement of Nitrogen oxides at Campisabalos
DOI: 10.48597/e7bz-3c35
title: Measurement of Nitrogen oxides at Doñana

description: Measurement of Nitrogen oxides at Doñana
DOI: 10.48597/j9bx-4tav
title: Measurement of Nitrogen oxides at Penausende

description: Measurement of Nitrogen oxides at Penausende
DOI: 10.48597/m2u6-72us
title: Measurement of Nitrogen oxides at Els Torms

description: Measurement of Nitrogen oxides at Els Torms
DOI: 10.48597/qgpf-m6qm
title: Measurement of Nitrogen oxides at Víznar

description: Measurement of Nitrogen oxides at Víznar
DOI: 10.48597/x6xg-jbtr
title: Measurement of Nitrogen oxides at Noia

description: Measurement of Nitrogen oxides at Noia
DOI: 10.48597/xg36-wkhq
title: Measurement of Nitrogen oxides at Zarra

description: Measurement of Nitrogen oxides at Zarra
DOI: 10.48597/k8k2-jmus
title: Particle_number_size_distribution at Birkenes II

description: Measurement of Particle_number_size_distribution at Birkenes II
DOI: 10.48597/xxgs-uscp
title: Measurement of Nitrogen oxides at Mahón

description: Measurement of Nitrogen oxides at Mahón
DOI: 10.48597/44d8-fsqj
title: Measurement of Particle_number_size_distribution at Zeppelin mountain (Ny-Ålesund)

description: Measurement of Particle_number_size_distribution at Zeppelin mountain (Ny-Ålesund)
DOI: 10.48597/kte7-33pj
title: Measurement of Particle_number_size_distribution at Birkenes II

description: Measurement of Particle_number_size_distribution at Birkenes II
DOI: 10.48597/zpdm-rm7n
title: Measurement of Particle_number_size_distribution at Trollhaugen

description: Measurement of Particle_number_size_distribution at Trollhaugen
DOI: 10.48597/8by4-zv6u
title: Measurement of Ozone at Arrival Heights

description: Measurement of Ozone at Arrival Heights
DOI: 10.48597/b9q7-b7wt
title: Measurement of Nitrogen oxides at High Muffles

description: Measurement of Nitrogen oxides at High Muffles
DOI: 10.48597/y3dx-da4b
title: Aerosol_absorption_coefficient at Montseny

description: Measurement of Aerosol_absorption_coefficient at Montseny
DOI: 10.48597/ywd9-dzup
title: Measurement of Aerosol_absorption_coefficient at Montseny

description: Measurement of Aerosol_absorption_coefficient at Montseny
DOI: 10.48597/cpzb-3yge
title: Measurement of OC/EC at Bor Gradski park

description: Measurement of OC/EC at Bor Gradski park
DOI: 10.48597/wnf7-75vx
title: Measurement of OC/EC at Beograd Ada Marina

description: Measurement of OC/EC at Beograd Ada Marina
DOI: 10.6084/m9.figshare.30861554
title: Outsourcing of energetically costly amino acids at the origin of animals supplementary data

description: Outsourcing of energetically costly amino acids at the origin of animals, published in Nature CommunicationsNiko Kasalo, Mirjana Domazet-Lošo, Tomislav Domazet-LošoSupplementary Data
DOI: 10.6084/m9.figshare.30861554.v3
title: Outsourcing of energetically costly amino acids at the origin of animals supplementary data

description: Outsourcing of energetically costly amino acids at the origin of animals, published in Nature CommunicationsNiko Kasalo, Mirjana Domazet-Lošo, Tomislav Domazet-LošoSupplementary Data
DOI: 10.6084/m9.figshare.30861554.v2
title: Outsourcing of energetically costly amino acids at the origin of animals

description: Outsourcing of energetically costly amino acids at the origin of animals, published in Nature CommunicationsNiko Kasalo, Mirjana Domazet-Lošo, Tomislav Domazet-LošoSupplementary Data
DOI: 10.17026/ar/o8foc6
title: PAN-00108615 - coin/coin-related, Constantinus I (306-337), nummus

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00108615&lt;/p&gt;
description: Modified: 2025-06-17T08:32:05+02:00
DOI: 10.6084/m9.figshare.30837093
title: Bayesian modeling of heartbeat evoked potentials (HEP) and heart rate variability (HRV) as biomarkers of spiritual and mental wellbeing; an exploratory study

description: Spiritual and mental wellbeing are vital to health. Identification of their psychophysiological correlates enables their evidence-based integration into clinical therapeutics. We applied Bayesian modeling to assess HEPs and HRV as potential biomarkers of spiritual and mental wellbeing as it provides a flexible probabilistic approach. In this cross-sectional study, n = 30 adults completed spiritual (SIWB) and mental (WEMWBS) wellbeing questionnaires, then underwent electrophysiological recordings (EO, EC) with HRV and power spectral density analysis. Influence of difference of HEP and HRV on spiritual and mental wellbeing was analyzed. Bayesian regression identified the combined ΔHEP1 + ΔHEP3 model as the best predictor of spiritual well-being (BF10 = 8.75; R2 = 0.36), where strongest inclusion probability was observed for ΔHEP at Fz (Pincl =0.723), followed by ΔHEP at F7 (Pincl =0.617), with uncertain CrIs (95% CrI [−2.01, 0.05] and CrI [−0.62, 0.01] respectively) providing moderate-to-strong evidence for their inclusion. ΔHEP at F8 showed the strongest inclusion probability (P(incl|data) = 0.64; BF(inclusion) = 1.80), with posterior mean of 0.52 and a 95% CrI spanning [0.00, 1.61]. Demographic factors did not influence SIWB or WEMWBS scores. Bayesian model indicates that HEP can serve as a valuable tool to study psychophysiological modulation in spiritual and psychological interventions.
DOI: 10.6084/m9.figshare.30837093.v1
title: Bayesian modeling of heartbeat evoked potentials (HEP) and heart rate variability (HRV) as biomarkers of spiritual and mental wellbeing; an exploratory study

description: Spiritual and mental wellbeing are vital to health. Identification of their psychophysiological correlates enables their evidence-based integration into clinical therapeutics. We applied Bayesian modeling to assess HEPs and HRV as potential biomarkers of spiritual and mental wellbeing as it provides a flexible probabilistic approach. In this cross-sectional study, n = 30 adults completed spiritual (SIWB) and mental (WEMWBS) wellbeing questionnaires, then underwent electrophysiological recordings (EO, EC) with HRV and power spectral density analysis. Influence of difference of HEP and HRV on spiritual and mental wellbeing was analyzed. Bayesian regression identified the combined ΔHEP1 + ΔHEP3 model as the best predictor of spiritual well-being (BF10 = 8.75; R2 = 0.36), where strongest inclusion probability was observed for ΔHEP at Fz (Pincl =0.723), followed by ΔHEP at F7 (Pincl =0.617), with uncertain CrIs (95% CrI [−2.01, 0.05] and CrI [−0.62, 0.01] respectively) providing moderate-to-strong evidence for their inclusion. ΔHEP at F8 showed the strongest inclusion probability (P(incl|data) = 0.64; BF(inclusion) = 1.80), with posterior mean of 0.52 and a 95% CrI spanning [0.00, 1.61]. Demographic factors did not influence SIWB or WEMWBS scores. Bayesian model indicates that HEP can serve as a valuable tool to study psychophysiological modulation in spiritual and psychological interventions.
DOI: 10.4121/a2d08a65-4f92-4a66-bd5d-fd790ddf7d56
title: Data underlying the PhD dissertation: Beyond Rotterdam’s Gentrifying Neighbourhoods: Who Moves Where and Why It Matters

description: This repository contains the code and data processing scripts underlying the analysis conducted in the dissertation Beyond Rotterdam’s Gentrifying Neighbourhoods: Who Moves Where and Why It Matters. The purpose of this dataset was to gain quantitative as well as qualitative insights on the origin and locations of individuals and households moving in and within Rotterdam.Note: Some of the chapters contain microdata output. The authors do not have permission to share data. However, under certain conditions, these data are accessible for statistical and scientific research. For further information: [microdata@cbs.nl]
DOI: 10.5281/zenodo.17911641
title: Thermal conductivity limits of MoS2 and MoSe2: Revisiting high-order anharmonic lattice dynamics with machine learning potentials
DOI: 10.4121/a2d08a65-4f92-4a66-bd5d-fd790ddf7d56.v1
title: Data underlying the PhD dissertation: Beyond Rotterdam’s Gentrifying Neighbourhoods: Who Moves Where and Why It Matters

description: This repository contains the code and data processing scripts underlying the analysis conducted in the dissertation Beyond Rotterdam’s Gentrifying Neighbourhoods: Who Moves Where and Why It Matters. The purpose of this dataset was to gain quantitative as well as qualitative insights on the origin and locations of individuals and households moving in and within Rotterdam.Note: Some of the chapters contain microdata output. The authors do not have permission to share data. However, under certain conditions, these data are accessible for statistical and scientific research. For further information: [microdata@cbs.nl]
DOI: 10.5281/zenodo.17911640
title: Thermal conductivity limits of MoS2 and MoSe2: Revisiting high-order anharmonic lattice dynamics with machine learning potentials