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1,426 results for “birth”
Dataset of Measurement and conceptualization of maternal PTSD following childbirth: Psychometric properties of the City Birth Trauma Scale – French version (City BiTS-F)
<p>The City Birth Trauma Scale (City BiTS-F) was developed to assess posttraumatic stress disorder following childbirth (PTSD-FC), based on the PTSD criteria of the DSM-5. Recent studies investigating the latent factor structure of PTSD-FC symptoms in women reported mixed results. Given that no validated French questionnaire exists to measure PTSD-FC symptoms, this study first aimed to validate the French version of the CBTS (City BiTS-F). Second, it aims to establish the latent factor structure of PTSD-FC.</p> <p>This dataset contains data on the mental health (i.e., PTSD-CB, depression, anxiety) of 541 mothers who gave birth during the last 12 months. Sociodemegraphic data such as maternal age, marital status, educational level, parity, gravidity, weeks of gestation, type of delivery, history of traumatic childbirth, or history of traumatic event is available. </p> <p>This dataset is related to: Sandoz, V., Hingray, C., Stuijfzand, S., Lacroix, A., El Hage, W., & Horsch, A. (2022). Measurement and conceptualization of maternal PTSD following childbirth: Psychometric properties of the City Birth Trauma Scale—French Version (City BiTS-F). <em>Psychological Trauma: Theory, Research, Practice, and Policy, 14</em>(4), 696–704. <a href="https://psycnet.apa.org/doi/10.1037/tra0001068">https://doi.org/10.1037/tra0001068</a></p>
Data from: "Little evidence of inbreeding depression for birth mass, survival and growth in Antarctic fur seal pups"
<p>This data repository contains:</p> <ul> <li><span>"msats_growth_individuals.xlsx" - Microsatellite data (39 loci) of Antarctic fur seals<br></span></li> <li><span>"pup_growth_2017-2020.xlsx" - Birth weight and tagging weight data for pups collected in 2017-2020.<br></span></li> <li><span>"Rebeccas_Samples_Mendel_OriginalPedigree" - SNP array data (75k SNPs) in PLINK format for a subset of individuals<br></span></li> <li><span>"GrowthRM_BI1820_Day60.new.csv" - Repeated weight measures for a subset of individuals</span></li> </ul> <p><strong><br>Manuscript abstract</strong></p> <p><span>Inbreeding depression, the loss of offspring fitness due to consanguineous mating, is generally detrimental for individual performance and population viability.<span> </span>We therefore investigated inbreeding effects in a declining population of Antarctic fur seals (<em>Arctocephalus gazella</em>) at Bird Island, South Georgia.<span> </span>Here, localised warming has reduced the availability of the seal’s staple diet, Antarctic krill, leading to a temporal increase in the strength of selection against inbred offspring, which are increasingly failing to recruit into the adult breeding population.<span> </span>However, it remains unclear whether selection operates before or after nutritional independence at weaning.<span> </span>We therefore used microsatellite data from 885 pups and their mothers, and SNP array data from 98 mother-offspring pairs, to quantify the effects of individual and maternal inbreeding on three important neonatal fitness traits: birth mass, survival and growth.<span> </span>We did not find any clear or consistent effects of offspring or maternal inbreeding on any of these traits.<span> </span>This suggests that selection filters inbred individuals out of the population as juveniles during the time window between weaning and recruitment.<span> </span>Our study brings into focus a poorly understood life-history stage and emphasises the importance of understanding the ecology and threats facing juvenile pinnipeds.</span></p> <p><strong><span>Funding</span></strong></p> <p><span>This research was supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) priority programme “Antarctic Research with Comparative Investigations in Arctic Ice Areas” SPP 1158 (project number 424119118) and the SFB TRR 212 (NC³) (Project Numbers 316099922 & 396774617). This work contributes to the Ecosystems project of the British Antarctic Survey, Natural Environmental Research Council, and is part of the Polar Science for Planet Earth Programme.</span></p>
Inter-Chemical Correlation results for the study: HHEARx2017-1729 (Air Pollution, Placenta Function, and Birth Outcomes in Los Angeles)
Title: Air Pollution, Placenta Function, and Birth Outcomes in Los Angeles <br>Species: Homo sapiens <br>Number of samples: 450 <br>Number of named analytes: 14 <br>Datasource url: https://hheardatacenter.mssm.edu/PublicFile/ViewPublicFile?projectid=48 <br>
Data and script for: "Increased birth rank of homosexual males: disentangling the older brother effect and sexual antagonism hypothesis"
<p>Data and script for Tables 2, 3, S2, S3, S4, and S5, and Figures 1, 3, 4, and S1.</p> <p>Individual dataset:</p> <p>France: <a href="https://zenodo.org/api/files/acdb78f8-397c-4bc3-8f68-ec048edbc5f5/France_data_df12.csv">France_data_df12.csv </a><br> Indonesia: <a href="https://zenodo.org/api/files/acdb78f8-397c-4bc3-8f68-ec048edbc5f5/Indonesia_data.csv">Indonesia_data.csv </a><br> Greece: <a href="https://zenodo.org/api/files/acdb78f8-397c-4bc3-8f68-ec048edbc5f5/Greek_data.csv">Greek_data.csv </a></p> <p>The file <a href="https://zenodo.org/api/files/acdb78f8-397c-4bc3-8f68-ec048edbc5f5/France_script.Rmd">France_script.Rmd </a>contains all the analyses of the french data set, including values presented Tables 2, 3, S3, S4, S5, Figures 3, 4 (output in file <a href="https://zenodo.org/api/files/acdb78f8-397c-4bc3-8f68-ec048edbc5f5/France_script.html">France_script.html</a>). Same thing for files <a href="https://zenodo.org/api/files/acdb78f8-397c-4bc3-8f68-ec048edbc5f5/Indonesia_script.Rmd">Indonesia_script.Rmd </a> and <a href="https://zenodo.org/api/files/acdb78f8-397c-4bc3-8f68-ec048edbc5f5/Greek_script.Rmd">Greek_script.Rmd</a>.</p> <p>For figure 1: <a href="https://zenodo.org/api/files/acdb78f8-397c-4bc3-8f68-ec048edbc5f5/Fig1.html">Fig1.html </a><br> For Figure S1: <a href="https://zenodo.org/api/files/acdb78f8-397c-4bc3-8f68-ec048edbc5f5/Fig_S1.html">Fig_S1.html </a><br> For Table S2: <a href="https://zenodo.org/api/files/acdb78f8-397c-4bc3-8f68-ec048edbc5f5/Table_S2_script.html">Table_S2_script.html </a><br> </p> <p> </p> <p><br> </p> <p> </p> <p> </p> <p> </p>
Dataset of The latent factor structure and assessment of childbirth-related PTSD in fathers and co-parents: psychometric characteristics of the City Birth Trauma Scale – French version (partner version)
<p>Little is known about the latent factor structure of CB-PTSD symptoms in co-parents (i.e., (a non-expecting mother or father). The City Birth Trauma Scale (City BiTS) was developed to assess childbirth-related posttraumatic stress disorder following childbirth (CB-PTSD), based on the PTSD criteria of the DSM-5. Still, no validated French questionnaire exists to assess CB-PTSD symptoms in co-parents. This study aimed (1) to establish the latent factor structure of CB-PTSD, and (2) to validate the French version of the City BiTS (partner version). </p> <p>This dataset contains data on the mental health (i.e., CB-PTSD, depression, anxiety) of 282 co-parents who had an infant within the last 12 months. Sociodemographic data such as age, marital status, educational level, weeks of gestation, type of delivery, history of traumatic childbirth, or history of a traumatic event is available. </p>
Data for predicting piglet survival until weaning using birth weight and within-litter birth weight variation as easily measured proxy predictors
<p>The data was used in the analysis presented in the manuscript: Predicting piglet survival until weaning using birth weight and within-litter birth weight variation as easily measured proxy predictors. The manuscript is published in <em>Animal</em> journal. The data is for piglet survival survival at different time-points from birth to weaning from two research farms.</p>
Volatile organic compound analysis, a new tool in the quest for preterm birth prediction – an observational cohort study
<p>Vaginal swabs were taken in pregnancy in high risk asymptomatic women attending a preterm prevention clinic. Women in the study attended the clinical due to a history of preterm birth or midtrimester pregnancy loss, or due to a history of cervical surgery. Individualised management plans were made depending upon individual patient risk factors. During their attendance to the clinic vaginal swabs were taken for VOC analysis. Swabs were taken between 15 and 28 weeks gestation. Women consented to vaginal swabs at each of their visits to the clinic. The dataset contains GC-IMS VOC data from a G.A.S. GC-IMS and includes a Spreadsheet of demographics.</p>
Monthly births in Dutch Limburg, 1825-1839
<p>Between 1815 and 1839, Belgian Limburg and Dutch Limburg were one province of the United Kingdom of the Netherlands: Limburg. Thus, any provincial statistics published at the time do not distinguish between both. This can create problems when comparing processes over time using aggregated data.</p><p>In this dataset, I have attempted to reconstruct the monthly number of births in Dutch Limburg between 1825 and 1839 by counting the online indexes of <a href="https://aezel.eu/en">AEZEL</a>. This allows researchers to easily analyze the development in the seasonality of births in the province.</p><p> </p><p> </p>
Online Appendix and Cetacean Datasets for: The Occurrence Birth-Death Process for combined-evidence analysis in macroevolution and epidemiology
<p>Phylodynamic models generally aim at jointly inferring phylogenetic relationships, model parameters, and more recently, the number of lineages through time, based on molecular sequence data. In the fields of epidemiology and macroevolution these models can be used to estimate, respectively, the past number of infected individuals (prevalence) or the past number of species (paleodiversity) through time. Recent years have seen the development of "total-evidence" analyses, which combine molecular and morphological data from extant and past sampled individuals in a unified Bayesian inference framework. Even sampled individuals characterized only by their sampling time, i.e. lacking morphological and molecular data, which we call occurrences, provide invaluable information to reconstruct the past number of lineages.</p> <p>Here, we present new methodological developments around the Fossilized Birth-Death Process enabling us to (i) incorporate occurrence data in the likelihood function; (ii) consider piecewise-constant birth, death and sampling rates; and (iii) reconstruct the past number of lineages, with or without knowledge of the underlying tree. We implement our method in the RevBayes software environment, enabling its use along with a large set of models of molecular and morphological evolution, and validate the inference workflow using simulations under a wide range of conditions.</p> <p>We finally illustrate our new implementation using two empirical datasets stemming from the fields of epidemiology and macroevolution. In epidemiology, we infer the prevalence of the COVID-19 outbreak on the Diamond Princess ship, by taking into account jointly the case count record (occurrences) along with viral sequences for a fraction of infected individuals. In macroevolution, we infer the diversity trajectory of cetaceans using molecular and morphological data from extant taxa, morphological data from fossils, as well as numerous fossil occurrences. The joint modeling of occurrences and trees holds the promise to further bridge the gap between between traditional epidemiology and pathogen genomics, as well as paleontology and molecular phylogenetics.</p>
Data from: Skyline fossilized birth-death model is robust to violations of sampling assumptions in total-evidence dating
<p>Several total-evidence dating studies under the fossilized birth-death (FBD) model have produced very old age estimates, which are not supported by the fossil record. This phenomenon has been termed "deep root attraction (DRA)". For two specific datasets, involving divergence time estimation for the early radiations of ants, bees and wasps (Hymenoptera) and of placental mammals (Eutheria), it has been shown that the DRA effect can be greatly reduced by accommodating the fact that extant species in these trees have been sampled to maximize diversity, so called diversified sampling. Unfortunately, current methods to accommodate diversified sampling only consider the extreme case where it is possible to identify a cut-off time such that all splits occurring before this time are represented in the sampled tree but none of the younger splits. In reality, the sampling bias is rarely this extreme, and may be difficult to model properly. Similar modeling challenges apply to the sampling of the fossil record. This raises the question of whether it is possible to find dating methods that are more robust to sampling biases. Here, we show that the skyline FBD (SFBD) process, where the diversification and fossil-sampling rates can vary over time in a piecewise fashion, provides age estimates that are more robust to inadequacies in the modeling of the sampling process and less sensitive to DRA effects. In the SFBD model we consider, rates in different time intervals are either considered to be independent and identically distributed, or assumed to be autocorrelated following an Ornstein-Uhlenbeck (OU) process. Through simulations and reanalyses of the Hymenoptera and Eutheria data, we show that both variants of the SFBD model unify age estimates under random and diversified sampling assumptions. The SFBD model can resolve DRA by absorbing the deviations from the sampling assumptions into the inferred dynamics of the diversification process over time. Although this means that the inferred diversification dynamics must be interpreted with caution, taking sampling biases into account, we conclude that the SFBD model represents the most robust approach available currently for addressing DRA in total-evidence dating.</p>
The ClaDS rate-heterogeneous birth-death prior for full phylogenetic inference in BEAST2
<p>Bayesian phylogenetic inference requires a tree prior, which models the underlying diversification process which gives rise to the phylogeny. Existing birth-death diversification models include a wide range of features, for instance lineage-specific variations in speciation and extinction rates. While across-lineage variation in speciation and extinction rates is widespread in empirical datasets, few heterogeneous rate models have been implemented as tree priors for Bayesian phylogenetic inference. As a consequence, rate heterogeneity is typically ignored when reconstructing phylogenies, and rate heterogeneity is usually investigated on fixed trees. In this paper, we present a new BEAST2 package implementing the cladogenetic diversification rate shift (ClaDS) model as a tree prior. ClaDS is a birth-death diversification model designed to capture small progressive variations in birth and death rates along a phylogeny. Unlike previous implementations of ClaDS, which were designed to be used with fixed, user-chosen phylogenies, our package is implemented in the BEAST2 framework and thus allows full phylogenetic inference, where the phylogeny and model are co-estimated from a molecular alignment. Our package provides all necessary components of the inference, including a new tree object and operators to propose moves to the MCMC. It also includes a graphical interface through BEAUti. We validate our implementation of the package by comparing the produced distributions to simulated data, and show an empirical example of the full inference, using a cetaceans dataset.</p>
STATA code to reproduce results in the manuscript "Low birth weight risk during COVID-19: Evidence from a nationwide study in India"
<p>This STATA code will reproduce results in the manuscript "Low birth weight risk during COVID-19: Evidence from a nationwide study in India" The users will have to register and access the data from www.dhsprogram.com to run the analysis code. </p>
Рис. 13. A – Орест Александрович и Елена Евстафьевна. Крым. 1970-е гг. Архив С.О. Скарлато; B – Орест Александрович с внучкой Олей, сыном Сергеем и невесткой Ириной Викторовной Телеш. 1989 г. Архив С.О. Скарлато. in Orest A. Scarlato - scientist and organizer of science: on the 100th anniversary of his birth (1920-1994)
Рис. 13. A – Орест Александрович и Елена Евстафьевна. Крым. 1970-е гг. Архив С.О. Скарлато; B – Орест Александрович с внучкой Олей, сыном Сергеем и невесткой Ириной Викторовной Телеш. 1989 г. Архив С.О. Скарлато.
Рис. 10. A – О.А. Скарлато с монографией Садайоши МиЯки «Anomura Залива Сагами» по сборам императора Японии, на которую им была написана реценЗиЯ [Скарлато, 1982б (118)]. Июль 1981 г. Архив С.О. Скарлато; B – Орест Александрович Скарлато. 29 ноЯбрЯ 1989 г. Архив С.О. Скарлато. in Orest A. Scarlato - scientist and organizer of science: on the 100th anniversary of his birth (1920-1994)
Рис. 10. A – О.А. Скарлато с монографией Садайоши МиЯки «Anomura Залива Сагами» по сборам императора Японии, на которую им была написана реценЗиЯ [Скарлато, 1982б (118)]. Июль 1981 г. Архив С.О. Скарлато; B – Орест Александрович Скарлато. 29 ноЯбрЯ 1989 г. Архив С.О. Скарлато.
Рис. 8. A – Директор Зоологического института академик Е.Н. Павловский и Зам. директора института О.А. Скарлато в кабинете директора ЗИНа. 1963 г. Архив С.О. Скарлато; B – Директор Зоологического института член-корр. АН СССР О.А. Скарлато в кабинете директора ЗИНа. НоЯбрь 1990 г. Архив С.О. Скарлато. Fig. 8. A – Director of the Zoological Institute, Academician E.N. Pavlovsky and Deputy Director of the Institute O.A. Scarlato in the Director's Office. 1963. Archive of S.O. Scarlato; B – Director of the Zoological Institute, Corresponding Member O.A. Scarlato in the Director's Office. November 1990. Archive of S.O. Scarlato. in Orest A. Scarlato - scientist and organizer of science: on the 100th anniversary of his birth (1920-1994)
Рис. 8. A – Директор Зоологического института академик Е.Н. Павловский и Зам. директора института О.А. Скарлато в кабинете директора ЗИНа. 1963 г. Архив С.О. Скарлато; B – Директор Зоологического института член-корр. АН СССР О.А. Скарлато в кабинете директора ЗИНа. НоЯбрь 1990 г. Архив С.О. Скарлато. Fig. 8. A – Director of the Zoological Institute, Academician E.N. Pavlovsky and Deputy Director of the Institute O.A. Scarlato in the Director's Office. 1963. Archive of S.O. Scarlato; B – Director of the Zoological Institute, Corresponding Member O.A. Scarlato in the Director's Office. November 1990. Archive of S.O. Scarlato.
Fig. 9. A – O.A in Orest A. Scarlato - scientist and organizer of science: on the 100th anniversary of his birth (1920-1994)
Fig. 9. A – O.A. Scarlato – Director of the Zoological Institute. 1975. Archive of S.O. Scarlato; B – O.A. Scarlato at work in the mollusk collections of the Laboratory of Marine Research of the Zoological Institute. Photo By V.N. Tanasijtshuk. Archive of V.N. Tanasijtshuk.
Рис. 11. A – О.А. Скарлато выступает на 7-м малакологическом совеЩании. Слева направо: И.М. Лихарев, О.А. Скарлато, А.Н. Голиков, …. Апрель 1983 г. Архив А.В. Смирнова; B – Встреча на квартире О.А. Скарлато после 7-го малакологического совеЩаниЯ. Апрель 1983 г. Слева направо: …, ИльЯ Михайлович Лихарев, Орест Александрович Скарлато, Анита Алексеевна Нейман, …, …. Архив И.М. Лихарева. in Orest A. Scarlato - scientist and organizer of science: on the 100th anniversary of his birth (1920-1994)
Рис. 11. A – О.А. Скарлато выступает на 7-м малакологическом совеЩании. Слева направо: И.М. Лихарев, О.А. Скарлато, А.Н. Голиков, …. Апрель 1983 г. Архив А.В. Смирнова; B – Встреча на квартире О.А. Скарлато после 7-го малакологического совеЩаниЯ. Апрель 1983 г. Слева направо: …, ИльЯ Михайлович Лихарев, Орест Александрович Скарлато, Анита Алексеевна Нейман, …, …. Архив И.М. Лихарева.
Рис. 7. A – Е.Н. ГруЗов, О.А. Скарлато и А.Н. Голиков на водолаЗных работах. Дальний Восток. 1962 или 1963 г. Архив А.А. Голикова; B – О.А. Скарлато готовитсЯ к погруЖению. ЮЖный Сахалин. 1963 г. Фото З.В. Кунцевич. in Orest A. Scarlato - scientist and organizer of science: on the 100th anniversary of his birth (1920-1994)
Рис. 7. A – Е.Н. ГруЗов, О.А. Скарлато и А.Н. Голиков на водолаЗных работах. Дальний Восток. 1962 или 1963 г. Архив А.А. Голикова; B – О.А. Скарлато готовитсЯ к погруЖению. ЮЖный Сахалин. 1963 г. Фото З.В. Кунцевич.
Рис. 5. A – О.А. Скарлато и Зав. Кафедрой Зоологии беспоЗвоночных Ленинградского государственного университета, член-корр. АН СССР профессор В.А. Догель. Май 1955 г. Архив С.О. Скарлато; B – В.В. Хлебович, П.В. Ушаков, О.А. Скарлато и китайский Зоолог У Бао Лин. Конец 1950-х гг. Архив В.В. Хлебовича. in Orest A. Scarlato - scientist and organizer of science: on the 100th anniversary of his birth (1920-1994)
Рис. 5. A – О.А. Скарлато и Зав. Кафедрой Зоологии беспоЗвоночных Ленинградского государственного университета, член-корр. АН СССР профессор В.А. Догель. Май 1955 г. Архив С.О. Скарлато; B – В.В. Хлебович, П.В. Ушаков, О.А. Скарлато и китайский Зоолог У Бао Лин. Конец 1950-х гг. Архив В.В. Хлебовича.
Fig. 4. A – O.A in Orest A. Scarlato - scientist and organizer of science: on the 100th anniversary of his birth (1920-1994)
Fig. 4. A – O.A. Scarlato, student of the 2nd year. October 14, 1947. Archive of the S.O. Skarlato; B – Post-graduate student O.A. Scarlato in office. 1950. Archive of I.M. Likharev.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.