cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22823283.v1
title: How do different childbirth experience scales predict childbirth-related posttraumatic stress symptoms and disorder?

description: Post-traumatic stress disorder (PTSD) after childbirth causes severe and lasting effects. Screening of childbirth experience may expedite early PTSD recognition. Systematic reviews have not provided consensus on how and when to measure childbirth experience and the clinical implications of such measurements. We aimed to identify a reliable and simple scale for screening the childbirth experience with minimum risk of missing PTSD. This cohort study evaluated the childbirth experience of 1527 unselected women with Wijma Delivery Experience Questionnaire (W-DEQ-B), Delivery Satisfaction Scale (DSS), and Visual Analogue Scale (VAS). VAS was measured first &lt;1 week (VAS1) and then, together with the other scales, a few months after childbirth (VAS2). The scales’ ability to identify PTSD (measured with Traumatic Event Scale) was evaluated and compared with receiver operating characteristic (ROC) analysis. Diagnostic accuracy and clinical usefulness were used to suggest cutoff values for scales. W-DEQ-B showed highest recognition of partial or full PTSD (area under the ROC curve 0.96 in W-DEQ-B, 0.92 in VAS2, 0.91 in DSS and 0.82 in VAS1). All included scales recognized partial or full PTSD well. Although W-DEQ-B performed best, VAS (measured twice) with cutoff value of 50 mm is most suitable for screening in clinical circumstances.
DOI: 10.6084/m9.figshare.24025475
title: Risk factors of paternal perinatal depression during the COVID-19 pandemic in Japan

description: The study aims to investigate risk factors of paternal perinatal depression during the COVID-19 pandemic. We conducted an online cross-sectional study of 473 prenatal fathers and 1246 postnatal fathers in August 2021. We applied a modified Poisson regression to estimate relative risk ratios of possible factors for paternal perinatal depression (measured by Edinburgh Postnatal Depression Scale), sequentially introducing the following factors into the model: individual factors, interpersonal factors, obstetric/pediatric factors, and service utilization factors. Prenatal fathers with the following risk factors were at an increased risk for having depressive symptoms: adverse childhood experiences (risk ratio; RR 1.61), past depression (RR 1.63), fear of COVID-19 (RR 2.09), lower social support (RR 1.91), low family resources (RR 1.95), and intimate partner violence (IPV) victimization (RR 1.29). Postnatal fathers having the following risk factors were at an increased risk for having depressive symptoms: past depression (RR 1.67), fear of COVID-19 (RR 1.26), low family resources (RR 1.85), IPV victimization. (RR 1.18), and preterm birth (RR 1.18). The study showed risk factors such as past history of depression, high fear of COVID-19, low family functionality, and IPV victimization were associated with perinatal depressive symptoms. The findings should contribute to future directions of interventions for paternal perinatal mental health.
DOI: 10.6084/m9.figshare.24025475.v1
title: Risk factors of paternal perinatal depression during the COVID-19 pandemic in Japan

description: The study aims to investigate risk factors of paternal perinatal depression during the COVID-19 pandemic. We conducted an online cross-sectional study of 473 prenatal fathers and 1246 postnatal fathers in August 2021. We applied a modified Poisson regression to estimate relative risk ratios of possible factors for paternal perinatal depression (measured by Edinburgh Postnatal Depression Scale), sequentially introducing the following factors into the model: individual factors, interpersonal factors, obstetric/pediatric factors, and service utilization factors. Prenatal fathers with the following risk factors were at an increased risk for having depressive symptoms: adverse childhood experiences (risk ratio; RR 1.61), past depression (RR 1.63), fear of COVID-19 (RR 2.09), lower social support (RR 1.91), low family resources (RR 1.95), and intimate partner violence (IPV) victimization (RR 1.29). Postnatal fathers having the following risk factors were at an increased risk for having depressive symptoms: past depression (RR 1.67), fear of COVID-19 (RR 1.26), low family resources (RR 1.85), IPV victimization. (RR 1.18), and preterm birth (RR 1.18). The study showed risk factors such as past history of depression, high fear of COVID-19, low family functionality, and IPV victimization were associated with perinatal depressive symptoms. The findings should contribute to future directions of interventions for paternal perinatal mental health.
DOI: 10.6084/m9.figshare.21713926.v1
title: What are antenatal maternity care needs of women who conceived through fertility treatment?: a mixed methods systematic review

description: Existing research indicates that pregnant women who conceived through fertility treatment might experience more stress and anxiety compared to women who conceived spontaneously. Therefore, these women might have additional antenatal care needs. A search for both quantitative and qualitative studies was performed in PubMed, PsycINFO, CINAHL and MEDLINE through May 2021, guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses checklist. 21 articles met the inclusion criteria. After methodological quality appraisal using the Mixed Methods Appraising Tool, 15 studies were included in the review. Analysis of the studies identified behavioral, relational/social, emotional, and cognitive needs and women’s preference about maternity care. Women who conceived through fertility treatment reported lower social and physical functioning scores and elevated levels of anxiety and depression compared to women who conceived spontaneously. They reported difficulties adjusting to pregnancy and experienced a care gap between discharge from the fertility clinic and going to local maternity care services for their first consultation, and a care gap postpartum. Women who conceived through fertility treatment have additional antenatal care needs. We recommend to offer these women more frequent check-ins, and to pay attention to the impact of their infertility and treatment on their pregnancy.
DOI: 10.6084/m9.figshare.21713926
title: What are antenatal maternity care needs of women who conceived through fertility treatment?: a mixed methods systematic review

description: Existing research indicates that pregnant women who conceived through fertility treatment might experience more stress and anxiety compared to women who conceived spontaneously. Therefore, these women might have additional antenatal care needs. A search for both quantitative and qualitative studies was performed in PubMed, PsycINFO, CINAHL and MEDLINE through May 2021, guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses checklist. 21 articles met the inclusion criteria. After methodological quality appraisal using the Mixed Methods Appraising Tool, 15 studies were included in the review. Analysis of the studies identified behavioral, relational/social, emotional, and cognitive needs and women’s preference about maternity care. Women who conceived through fertility treatment reported lower social and physical functioning scores and elevated levels of anxiety and depression compared to women who conceived spontaneously. They reported difficulties adjusting to pregnancy and experienced a care gap between discharge from the fertility clinic and going to local maternity care services for their first consultation, and a care gap postpartum. Women who conceived through fertility treatment have additional antenatal care needs. We recommend to offer these women more frequent check-ins, and to pay attention to the impact of their infertility and treatment on their pregnancy.
DOI: 10.5281/zenodo.10433273
title: Supplemental movies for Fluids manuscript

description: Supplemental movies for manuscript "Pipe formation by fluid focalization in bilayered sediments" by A. Gay, G. Tangavelou & V. Vidal, submitted to Fluids (dec. 2023)
DOI: 10.5281/zenodo.10433274
title: Supplemental movies for Fluids manuscript

description: Supplemental movies for manuscript "Pipe formation by fluid focalization in bilayered sediments" by A. Gay, G. Tangavelou & V. Vidal, submitted to Fluids (dec. 2023)
DOI: 10.5281/zenodo.10429623
title: Double dissociation of dopamine and subthalamic nucleus stimulation on effortful cost/benefit decision making
DOI: 10.5281/zenodo.10429624
title: Double dissociation of dopamine and subthalamic nucleus stimulation on effortful cost/benefit decision making
DOI: 10.48677/a513aa72-2921-4299-98ac-111cf7e54ba4
title: Kataster Grafik Grundstücksverzeichnis GPKG Stichtag 01.10.2023

description: Die Digitale Katastralmappe (DKM) ist der grafische Datenbestand des Katasters im Koordinatensystem der Österreichischen Landesvermessung. Sie wird von den zuständigen Vermessungsämtern katastralgemeindeweise geführt.
 Die DKM veranschaulicht die Lage der Grundstücke und enthält:
 - die Grenzen der Grundstücke
 - die Grundstücksnummern
 - Nutzungsgrenzen und -symbole
 - die Fest-, Grenz- und Staatsgrenzpunkte mit deren Nummern
 - sonstige Darstellungen
 
 Die Konsistenz der Daten zwischen der DKM und dem Grundbuch wird über einen täglichen Abgleich der Datenbanken sichergestellt.
 
 Grundstücksverzeichnis
 Das Grundstücksverzeichnis ist der Sachdatenbestand des Katasters und wird katastralgemeindeweise geführt. 
 Es enthält für jedes Grundstück:
 - Katastralgemeindenummer
 - Grundstücksnummer
 - Benützungsart und dazugehörige Nutzung
 - rechtliche Zusatzinformation (wenn vorhanden)
 - Flächen der Nutzung
 - Ertragsmesszahl
 - Geschäftsfallnummer
 - Katastralgemeindenummer der Einlagezahl
 - Einlagezahl
 - sonstige Angaben zur leichteren Kenntlichmachung
 
 Stichtag = Erstellungsdatum:
 Die Daten sind zu diesem Tag der aktuellste Datenbestand des BEV.
 Dies ist nicht ident mit dem Aufnahme- bzw. Vermessungsdatum.
DOI: 10.5281/zenodo.8271326
title: Research data for Taltal segment tomography article

description: Initial and final data for the local earthquake tomography experiment performed in the Taltal segment, northern Chile.

Article is submitted to G-cubed in August 2023.

Content:

- Initial earthquake catalog (*eqks)

- Initial P- and S-wave arrival times (*data)

- Initial 1D seismic velocity model (mod.1d)

- Final earthquake catalog (*eqks)

- Final P- and S-wave arrival times (*data)

- Final seismic velocity models (Vp, Vs, Vp/Vs) in xyzv format

- Station list

 - REST user guide

- Tomography notes
description: Research project funded by the Agencia Nacional de Investigacion y Desarrollo (ANID) via FONDECYT Postdoctorado call 2022 under the grant N°3220039
DOI: 10.5281/zenodo.8271327
title: Research data for Taltal segment tomography article

description: Initial and final data for the local earthquake tomography experiment performed in the Taltal segment, northern Chile.

Article is submitted to G-cubed in August 2023.

Content:

- Initial earthquake catalog (*eqks)

- Initial P- and S-wave arrival times (*data)

- Initial 1D seismic velocity model (mod.1d)

- Final earthquake catalog (*eqks)

- Final P- and S-wave arrival times (*data)

- Final seismic velocity models (Vp, Vs, Vp/Vs) in xyzv format

- Station list

 - REST user guide

- Tomography notes
description: Research project funded by the Agencia Nacional de Investigacion y Desarrollo (ANID) via FONDECYT Postdoctorado call 2022 under the grant N°3220039
DOI: 10.5281/zenodo.10433138
title: Midway RSS-related files backup (Data, t2d2012)
DOI: 10.5281/zenodo.10433139
title: Midway RSS-related files backup (Data, t2d2012)
DOI: 10.5281/zenodo.8246614
title: Data from: Forest age drives saproxylic beetle biodiversity in the southeastern United States

description: Data from: Forest age drives saproxylic beetle biodiversity in the southeastern United States 

Clayton R. Traylor, Michael D. Ulyshen, Joseph V. McHugh

Biological Conservation 285: 110238.

https://doi.org/10.1016/j.biocon.2023.110238

 

Abstract from paper:

Old forests are valuable for biodiversity conservation because they provide uninterrupted forest cover over timeand late-successional habitat, promoting low-mobility and late-successional species. However, forest age may beless important in highly forested landscapes because dispersal limitation is reduced. We investigated how speciesrichness and community composition of saproxylic beetles (Coleoptera) are influenced by forest age and the surroundinglandscape in the southeastern United States (Georgia). Forests in this region are highly fragmented anddominated by early-successional stands. We sampled beetles in 20 old forests (mature in 1938) and 20 youngforests (originating after 1938), located along a landscape forest cover (LFC) gradient. Old and young forestswere structurally similar but tree communities differed along a Quercus (old) to Pinus (young) gradient. Regionaldiversity of saproxylic beetles was higher in old forests, and high species turnover between forest age groups suggeststhey both help to maintain regional biodiversity. Two models of local richness had near equal merit: oneshowed higher richness in old forests regardless of LFC, while the other showed higher richness in old forests athigh LFC. Contrary to expectations, neither model supports old forests losing importance in highly forested landscapes.Higher richness in old forests is likely due to temporal stability and late-successional habitat, promotinglow-mobility and specialist species. Because the land area of young forests exceeds that of old forests, old forestsare disproportionately important for saproxylic biodiversity in the region.
description: See paper for full methodology and use "READ ME  metadata.txt" to understand raw data. One csv file contains beetle species abundances at study sites, during two week collection periods (flight intercept trap), and from leaf-litter sampling periods. The other csv file contains environmental and landscape covariates collected at study sites.

The data were collected with support from Presidential Early Career Award
(PECASE) funds awarded to MD Ulyshen and USDA National Institute
of Food and Agriculture Hatch project GEO00886 awarded to JV
McHugh.
DOI: 10.5281/zenodo.8246615
title: Data from: Forest age drives saproxylic beetle biodiversity in the southeastern United States

description: Data from: Forest age drives saproxylic beetle biodiversity in the southeastern United States 

Clayton R. Traylor, Michael D. Ulyshen, Joseph V. McHugh

Biological Conservation 285: 110238.

https://doi.org/10.1016/j.biocon.2023.110238

 

Abstract from paper:

Old forests are valuable for biodiversity conservation because they provide uninterrupted forest cover over timeand late-successional habitat, promoting low-mobility and late-successional species. However, forest age may beless important in highly forested landscapes because dispersal limitation is reduced. We investigated how speciesrichness and community composition of saproxylic beetles (Coleoptera) are influenced by forest age and the surroundinglandscape in the southeastern United States (Georgia). Forests in this region are highly fragmented anddominated by early-successional stands. We sampled beetles in 20 old forests (mature in 1938) and 20 youngforests (originating after 1938), located along a landscape forest cover (LFC) gradient. Old and young forestswere structurally similar but tree communities differed along a Quercus (old) to Pinus (young) gradient. Regionaldiversity of saproxylic beetles was higher in old forests, and high species turnover between forest age groups suggeststhey both help to maintain regional biodiversity. Two models of local richness had near equal merit: oneshowed higher richness in old forests regardless of LFC, while the other showed higher richness in old forests athigh LFC. Contrary to expectations, neither model supports old forests losing importance in highly forested landscapes.Higher richness in old forests is likely due to temporal stability and late-successional habitat, promotinglow-mobility and specialist species. Because the land area of young forests exceeds that of old forests, old forestsare disproportionately important for saproxylic biodiversity in the region.
description: See paper for full methodology and use "READ ME  metadata.txt" to understand raw data. One csv file contains beetle species abundances at study sites, during two week collection periods (flight intercept trap), and from leaf-litter sampling periods. The other csv file contains environmental and landscape covariates collected at study sites.

The data were collected with support from Presidential Early Career Award
(PECASE) funds awarded to MD Ulyshen and USDA National Institute
of Food and Agriculture Hatch project GEO00886 awarded to JV
McHugh.
DOI: 10.5281/zenodo.10433498
title: Traits estimated when grown alone may underestimate competitive advantage and invasiveness of exotic species

description: The following files allow one to reproduce analyses in the manuscript entitled "Traits estimated when grown alone may underestimate competitive advantage and invasiveness of exotic species" by Biao Zhu, Chunqiang Wei and Xinmin Lu.
DOI: 10.5281/zenodo.10433499
title: Traits estimated when grown alone may underestimate competitive advantage and invasiveness of exotic species

description: The following files allow one to reproduce analyses in the manuscript entitled "Traits estimated when grown alone may underestimate competitive advantage and invasiveness of exotic species" by Biao Zhu, Chunqiang Wei and Xinmin Lu.
DOI: 10.5281/zenodo.10433526
title: Traits estimated when grown alone may underestimate competitive advantage and invasiveness of exotic species

description: The following files allow one to reproduce analyses in the manuscript entitled "Traits estimated when grown alone may underestimate competitive advantage and invasiveness of exotic species" by Biao Zhu, Chunqiang Wei and Xinmin Lu.
DOI: 10.21227/ewx7-b315
title: Osteoarthritis Prediction

description: This is an open source data set from Kaggle. The original link is &lt;a href="https://www.kaggle.com/datasets/farjanakabirsamanta/osteoarthritis-prediction?resource=download"&gt;IEEE DataPort&lt;/a&gt;The dataset, provided by the University of Florida and the OAI organisation in September 2018, is 428MB in size and contains 5778 training samples, 1656 test samples and 826 validation samples. The dataset contains medical images of knees from various patients, including anteroposterior, lateral, and oblique X-ray images as well as magnetic resonance imaging (MRI) scans. Additionally, the dataset provides clinical features associated with each image, such as patient age, gender, pain level, inflammation indicators, etc.
DOI: 10.5281/zenodo.10119892
title: Algoa Bay 2018/2019 LC-MS/MS DOM study

description: This dataset contains the raw and processed data for a nontargeted tandem mass spectrometry study of dissolved organic matter (DOM) in surface water collected from the Algoa Bay system in the Eastern Cape of South Africa in 2018/2019
DOI: 10.5281/zenodo.10119893
title: Algoa Bay 2018/2019 LC-MS/MS DOM study

description: This dataset contains the raw and processed data for a nontargeted tandem mass spectrometry study of dissolved organic matter (DOM) in surface water collected from the Algoa Bay system in the Eastern Cape of South Africa in 2018/2019
DOI: 10.57992/nmrxiv.p47.s267
title: 3a-5a-7a-12a-cholestane-37122627-pentol-26-hydrogen-sulfate-sodium-salt
DOI: 10.57992/nmrxiv.p47.s267.d1565
title: 3a-5a-7a-12a-cholestane-37122627-pentol-26-hydrogen-sulfate-sodium-salt[5#2]
DOI: 10.57992/nmrxiv.p47.s267.d1566
title: 3a-5a-7a-12a-cholestane-37122627-pentol-26-hydrogen-sulfate-sodium-salt[5]
DOI: 10.57992/nmrxiv.p47.s267.d1567
title: 3a-5a-7a-12a-cholestane-37122627-pentol-26-hydrogen-sulfate-sodium-salt[9]
DOI: 10.57992/nmrxiv.p47.s267.d1568
title: 3a-5a-7a-12a-cholestane-37122627-pentol-26-hydrogen-sulfate-sodium-salt[10]
DOI: 10.57992/nmrxiv.p47.s267.d1569
title: 3a-5a-7a-12a-cholestane-37122627-pentol-26-hydrogen-sulfate-sodium-salt[11]
DOI: 10.57992/nmrxiv.p47.s267.d1570
title: 3a-5a-7a-12a-cholestane-37122627-pentol-26-hydrogen-sulfate-sodium-salt[7]
DOI: 10.34740/kaggle/dsv/7286417
title: Latest Air Quality Index Analysis
DOI: 10.6084/m9.figshare.24578627.v2
title: Bayesian Spline-Based Hidden Markov Models with Applications to Actimetry Data and Sleep Analysis

description: B-spline-based hidden Markov models employ B-splines to specify the emission distributions, offering a more flexible modeling approach to data than conventional parametric HMMs. We introduce a Bayesian framework for inference, enabling the simultaneous estimation of all unknown model parameters including the number of states. A parsimonious knot configuration of the B-splines is identified by the use of a trans-dimensional Markov chain sampling algorithm, while model selection regarding the number of states can be performed based on the marginal likelihood within a parallel sampling framework. Using extensive simulation studies, we demonstrate the superiority of our methodology over alternative approaches as well as its robustness and scalability. We illustrate the explorative use of our methods for data on activity in animals, that is whitetip-sharks. The flexibility of our Bayesian approach also facilitates the incorporation of more realistic assumptions and we demonstrate this by developing a novel hierarchical conditional HMM to analyse human activity for circadian and sleep modeling. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.24578627
title: Bayesian Spline-Based Hidden Markov Models with Applications to Actimetry Data and Sleep Analysis

description: B-spline-based hidden Markov models employ B-splines to specify the emission distributions, offering a more flexible modeling approach to data than conventional parametric HMMs. We introduce a Bayesian framework for inference, enabling the simultaneous estimation of all unknown model parameters including the number of states. A parsimonious knot configuration of the B-splines is identified by the use of a trans-dimensional Markov chain sampling algorithm, while model selection regarding the number of states can be performed based on the marginal likelihood within a parallel sampling framework. Using extensive simulation studies, we demonstrate the superiority of our methodology over alternative approaches as well as its robustness and scalability. We illustrate the explorative use of our methods for data on activity in animals, that is whitetip-sharks. The flexibility of our Bayesian approach also facilitates the incorporation of more realistic assumptions and we demonstrate this by developing a novel hierarchical conditional HMM to analyse human activity for circadian and sleep modeling. Supplementary materials for this article are available online.