Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
3,047
datasets available to search
ShareScore release 0.9.0
Dataset results
3,047 results for “maternity”
Dataset of The distinct influence of different maternal mental health symptom profiles on infant sleep during the first year postpartum: a cross-sectional survey
<p>The distinct influence of different, but comorbid, maternal mental health difficulties, such as postpartum depression, anxiety, or childbirth-related posttraumatic stress disorder (CB-PTSD) on infant sleep is unknown, although maternal mental health was reported to be associated with infant sleep. This paper first aimed to associations between maternal mental health symptoms and infant sleep. Second, it aimed to exploratory obtain maternal mental health symptom profiles from maternal mental health symptoms. Finally, it aimed to investigate the distinct influence of these maternal mental health symptom profiles on infant sleep, when including mediators (i.e., maternal perception of infant temperament and method to fall asleep) and moderators (maternal educational level and infant age).</p> <p>This dataset contains data on the mental health (i.e., CB-PTSD, depression, anxiety) of 410 mothers with an infant aged between 3 to 12 months old. Information on infant sleep and temperament (negative emotionality) was collected via standardised maternal-report questionnaires (City BiTS, EPDS, HADS, BISQ, and IBQ-R very short form). Sociodemographic data such as maternal age, marital status, educational level, infant age, and week of gestation are reported.</p> <p>This dataset is related to: Sandoz, V.; Lacroix, A.; Stuijfzand, S.; Bickle Graz, M.; Horsch, A. Maternal Mental Health Symptom Profiles and Infant Sleep: A Cross-Sectional Survey. <em>Diagnostics</em> <strong>2022</strong>, <em>12</em>, 1625. https://doi.org/10.3390/diagnostics12071625. </p>
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>
Inter-Chemical Correlation results for the study: HHEARx2017-1945 (Maternal and Developmental Risks from Environmental and Social Stressors (MADRES))
Title: Maternal and Developmental Risks from Environmental and Social Stressors (MADRES) <br>Species: Homo sapiens <br>Number of samples: 421 <br>Number of named analytes: 21 <br>Datasource url: https://hheardatacenter.mssm.edu/PublicFile/ViewPublicFile?projectid=32 <br>
Inter-Chemical Correlation results for the study: HHEARx2017-1839 (Zika Virus Congenital Health Outcomes and the Impact of Maternal Environmental Exposures)
Title: Zika Virus Congenital Health Outcomes and the Impact of Maternal Environmental Exposures <br>Species: Homo sapiens <br>Number of samples: 2705 <br>Number of named analytes: 10 <br>Datasource url: https://hheardatacenter.mssm.edu/PublicFile/ViewPublicFile?projectid=61 <br>
Data for B-vitamin content in maternal diet and infant morbidity among breastfeeding mother-infant dyads from northern Kenya
<p>Data for a manuscript entitled, "B-vitamin content in maternal diet and infant morbidity among breastfeeding mother-infant dyads from northern Kenya" by Amelia N. Odo et al. The original version was published in April 13, 2020.</p> <p>Version 2 includes data from more participants and additional variables relevant for characterizing maternal and infant dietary characteristics.</p> <p>Version 3 includes the variable "other" for other foods as part of the dietary diversity data. The codebook for the variable "inflam" has been updated (1 = CRP > 3 mg/l; 0 = CRP < 3 mg/l) instead of 10 mg/l stated in Version 1/2. The information on grant support has been added.</p> <p> </p>
Long term effects of payment for performance on maternal and child health outcomes– evidence from Tanzania
<p>These are the datasets underpinning the paper entitled: <strong>Long term effects of payment for performance on maternal and child health outcomes– evidence from Tanzania.</strong></p> <p><strong>The datasets are provided in csv and Stata 16 format along with variable descriptions, and the Stata do file used for analysis.</strong></p>
Single-cell transcriptomic profiling unveils dysregulation of cardiac progenitor cells and cardiomyocytes in a mouse model of maternal hyperglycemia
<p>Congenital heart disease (CHD) is the most prevalent structural malformations of the heart affecting ∼1% of live births. To date, both damaging genetic variations and adverse environmental exposure such as maternal diabetes have been found to cause CHD. Clinical studies show ∼fivefold higher risk of CHD in the offspring of mothers with pregestational diabetes. Maternal pregestational diabetes affects the gene regulatory networks key to proper cardiac development in the fetus. However, the cell-type specificity of these gene regulatory responses to maternal diabetes and their association with the observed cardiac defects in the fetuses remains unknown. To uncover the transcriptional responses to maternal diabetes in the early embryonic heart, we used an established murine model of pregestational diabetes. In this model, we have previously demonstrated an increased incidence of CHD. Here, we show maternal hyperglycemia (matHG) elicits diverse cellular responses during heart development by single-cell RNA-sequencing in embryonic hearts exposed to control and matHG environment. Through differential gene-expression and pseudotime trajectory analyses of this data, we identified changes in lineage specifying transcription factors, predominantly affecting Isl1+ second heart field progenitors and Tnnt2+cardiomyocytes with matHG. Using in vivo cell-lineage tracing studies, we confirmed that matHG exposure leads to impaired second heart field-derived cardiomyocyte differentiation. Finally, this work identifies matHG-mediated transcriptional determinants in cardiac cell lineages elevate CHD risk and show perturbations in Isl1-dependent gene-regulatory network (Isl1-GRN) affect cardiomyocyte differentiation. Functional analysis of this GRN in cardiac progenitor cells will provide further mechanistic insights into matHG-induced severity of CHD associated with diabetic pregnancies.</p>
Maternal fetal ultrasound planes from low-resource imaging settings in five African countries
<p>This resource is a dataset of routinely acquired maternal-fetal screening ultrasound images collected in five centers of five countries in Africa (Malawi, Egypt, Uganda, Ghana and Algeria) that is associated to the journal article Sendra-Bacells et al. "Generalisability of fetal ultrasound deep learning models to low-resource imaging settings in five African countries", <em>Scientific Reports</em>. The images correspond to the four most common fetal planes: abdomen, brain, femur and thorax. A CSV file is provided where image filenames are associated to plane types and patient number as well as the partitioning in training and testing splits as used in the associated publication.</p>
Data from: Sex differences in the relationship between maternal and foetal glucocorticoids in a free-ranging large mammal
<p><strong>Description</strong><br> <br> This registration contains the data and scripts used for the analysis in the manuscript "Sex differences in the relationship between maternal and neonate cortisol in a free-ranging large mammal" (https://doi.org/10.1101/2023.05.04.538920). All versions and additional material are posted on the OSF project page: https://osf.io/4ymc8/ </p> <p>Important to note: this is an updated registration from a previous version (www.osf.io/wynke). OSF currently does not allow to change the files that were uploaded previously, which is why we switched to Zenodo. Future updates to the dataset and scripts will take place here. </p> <p><br> <strong>Changes to previous version</strong></p> <p>Following our review process at PCI Ecology, we made some changes (mostly additions) to the previous version. This includes the addition of more raw data. </p> <p>Changes to the previous version include: </p> <p>- We added the raw faecal data (“Raw_faecal_data.csv) along with a script (“Faecal exploration .R”), which loads the raw faecal datafile and does some minor investigations on it. These include checking whether the sampling time or day matter, and calculating a repeatability estimate.<br> - In “Faecal exploration.R”, we highlight the outlier that we removed. <br> - We have added the t-test reported in the manuscript to the script “Analysis.R”.<br> - In “Analysis.R”, we now also run the analysis both with as well as without the outlier. We also have adapted our code to plot the outlier in the figure along with the other values. <br> - We have updated the README file to include a description of both the data files and the scripts. <br> </p>
Maternal and genetic correlations between morphology and physical performance traits in a small captive primate, Microcebus murinus
<p>Physical performance traits are key components of fitness and direct targets of selection. Maternal effects are important components of integrated phenotypes in a variety of species. Yet their contribution to variation in performance, and phenotypes closely associated with performance, remains poorly understood. We used an animal model approach to quantify the contribution of maternal effects to performance trait variation (in bite force and pull strength) and the relationships between performance and the relevant underlying morphology in <i>Microcebus murinus</i>. We show that bite force is heritable (h<sup>2</sup>~0.23), and that maternal effects are also important source of variation, resulting in a medium inclusive heritability (IH<sup>2</sup>~0.47). Grip strength presented a rather low and non-significant narrow-sense heritability suggesting a higher selective pressure on this trait. Genetic correlations between performance traits and their associated morphometric traits were significant and high (0.47 bite force-head width; 0.48 grip strength-radius length), as was the maternal correlation for bite force-head width (0.75). Further studies evaluating the heritability of performance for other taxa and the role of maternal effects are badly needed to better understand the drivers of variation in performance ultimately allowing for a better understanding of the importance of these types of traits in an evolutionary context.</p>
Disease Spread in Age Structured Populations with Maternal Age Effects
<p>Fundamental ecological processes, such as extrinsic mortality, determine population age structure. This influences disease spread when individuals of different ages differ in susceptibility or when maternal age determines offspring susceptibility. We show that Daphnia magna offspring born to young mothers are more susceptible than those born to older mothers, and consider this alongside previous observations that susceptibility declines with age in this system. We used a susceptible- infected compartmental model to investigate how age-specific susceptibility and maternal age effects on offspring susceptibility interact with demographic factors affecting disease spread. Our results show a scenario where an increase in extrinsic mortality drives an increase in transmission potential. Thus, we identify a realistic context in which age effects and maternal effects produce conditions favouring disease transmission. </p> <p>epi model R script.R</p> <p>This is the script for the SIR model as well as the associated script for life history data. </p> <p>main.body size.csv</p> <p>This is the data for the body size data collected in the main experiment. This was measured using imageJ, was recorded in pixels and converted into millimetres. </p> <p>main.exposed.csv</p> <p>This is the proportion of infected/not infected individuals from an exposed treatment group. This was a subset of individuals from the entire experiment. This was the result of the exposures from the main experiment. </p> <p>main.reproduction.csv</p> <p>This document records reproduction for individuals from old or young mothers. It is a count of the offspring born at each reproductive event, which occurs generally every three days, though variation in interclutch interval increases with age. This was from the main experiment. Only those who were unexposed to the parasite, where used for this portion of the experimental work. </p> <p>sm.body size.csv</p> <p>This records body size similarly to above, and was an independent replication of the main experiment. </p> <p>sm.infection status.csv</p> <p>This is infection outcomes of exposures carried out as above, in an independent replication of the main experiment. </p> <p>sm.total babies.csv</p> <p>This is the reproductive output, carried out similarly to above, but in an independent replication of the main experiment. </p>
Maternal effects on the advertisement signals and mate preferences of adult offspring in Enchenopa treehoppers (Hemiptera: Membracidae)
<p>We tested for maternal effects on the mating signals and mate preferences of adult offspring in a plant-feeding insect that communicates via plant-borne vibrational signals. We experimentally manipulated an aspect of the social environment experienced by egg-laying mothers: aggregation density. We detected a strong maternal effect in a male signal trait, with sons of mothers that experienced low aggregation density signaling more. We also detected a weak maternal effect on female mate preferences, with daughters of mothers that experienced low aggregation density being less selective. We discuss the evolutionary consequences of these maternal effects in terms of the signal-preference relationship; the maintenance of variation under selection; whether they may be beneficial for offspring; and potential mechanisms that may be involved in their expression.</p>
Maternal body condition affects the response of the gut microbiome to a widespread contaminant in larval spined toads
<p>Datasets (metadata and phyloseq object) </p> <p>Scripts used for the statistical analyses</p>
The reproductive microbiome and maternal transmission via eggs in Sceloporus virgatus
<p>Maternal transmission of microbes occurs across the animal kingdom and is vital for the development and long-term health of offspring. The mechanisms of this transfer are most well studied in humans and other mammals, but are less well understood in egg-laying animals, especially in those with no parental care. Here we investigate the transfer of maternal microbes in <em>Sceloporus virgatus</em>, an oviparous spiny lizard. We compared three maternal tissue microbiomes – oviduct, cloaca, and intestine – to three offspring sample types: egg contents and eggshells on the day of oviposition, and hatchling intestinal tissue on the day of hatching. We found that dam ID is an important factor in hatchling microbiome composition, indicating that maternal transmission is occurring. The maternal cloacal and oviductal communities contribute to offspring microbiomes in all three sample types, but there was minimal influence of maternal intestinal microbes. This indicates that the maternal reproductive microbiome is more important for microbial inheritance than the gut microbiome, and that the tissue-level variation of the adult <em>S. virgatus</em> microbiome must develop as the hatchling matures. Despite differences between adult and hatchling communities, the offspring microbiome was still dominated by Enterobacteriaceae and Yersiniaceae, consistent with past studies of adult <em>S. virgatus</em> microbiomes.</p>
Data from: Offspring behavioral outcomes following maternal allergic asthma in the IL-4-deficient mouse
<p>Background: Maternal allergies and asthma during pregnancy have been associated with increased risk of ASD and ADHD to the child. Previous rodent studies have demonstrated that inducing a T helper-2 (Th2)-mediated allergic response during pregnancy leads to an offspring behavioral phenotype characterized by decreased social interaction and increased stereotypies. Interleukin-4 is a key signal in the Th2 immune cascade, but its role in fetal brain development and subsequent impacts of maternal allergic asthma (MAA) on offspring behavioral deficits have yet to be determined.</p> <p>Objective: In this study, we investigated whether the absence of IL-4 signaling would mitigate MAA-induced behavioral changes.</p> <p>Methods: C57BL/6J and Interleukin-4 knockout (IL-4 KO) mice were sensitized to ovalbumin and exposed to repeated allergic asthma aerosol inductions throughout pregnancy. Offspring were assessed on Juvenile Reciprocal Social Interaction, Elevated Plus Maze, Open Field Exploration, Novel Object Recognition, Forced Swim, Marble-burying, and Grooming tasks.</p> <p>Results: MAA during pregnancy resulted in decreased social interactions in male C57 offspring and impaired memory performance in both male and female C57 mice. These deficits were not observed in IL-4 KO mice exposed to MAA. However, we observed genotype effects in IL-4 KO mice including altered motor performance and anxiety-associated responses.</p> <p>Conclusion: MAA-induced social and cognitive behavioral alterations are IL-4 dependent. IL-4KO offspring display genotype-specific differences suggesting IL-4 signaling is important for typical developmental processes.</p>
Data and code for publication: Advancing Maternal Transfer of Organic Pollutants across Reptiles for Conservation and Risk Assessment Purposes
<p>Dataset and r code to prepare the dataset, in support of the publication:</p> <p>"Advancing maternal transfer of organic pollutants across reptiles for conservation and risk assessment purposes"</p> <p>Munoz, C.C., Charles, S., Vermeiren, P. (2024) Environmental Science and Technology, https://doi.org/10.1021/acs.est.4c04668</p> <p>contact email: munozc.cynthia@gmail.com</p>
Data and code for: Viviparous mothers impose stronger glucocorticoid‐mediated maternal stress effects on their offspring than oviparous mothers
<p><strong>Data and code accompanying the manuscript "Viviparous mothers impose stronger glucocorticoid‐mediated maternal stress effects on their offspring than oviparous mothers", MacLeod KJ, While GM, Uller, T, Ecology & Evolution 2021.</strong></p> <p>Code is in an R file - can be opened with any txt app.</p> <p>Metadata is in sheet 2 of the main data sheet (xlsx).</p> <p>Queries to kirstyjmacleod@gmail.com</p> <p><strong>Publication abstract</strong>: Maternal stress during gestation has the potential to affect offspring development via changes in maternal physiology, such as increases in circulating levels of glucocorticoid hormones that are typical after exposure to a stressor. While the effects of elevated maternal glucocorticoids on offspring phenotype (i.e., “glucocorticoid‐mediated maternal effects”) have been relatively well established in laboratory studies, it remains poorly understood how strong and consistent such effects are in natural populations. Using a meta‐analysis of studies of wild mammals, birds, and reptiles, we investigate the evidence for effects of elevated maternal glucocorticoids on offspring phenotype and investigate key moderators that might influence the strength and direction of these effects. In particular, we investigate the potential importance of reproductive mode (viviparity vs. oviparity). We show that glucocorticoid‐mediated maternal effects are stronger, and likely more deleterious, in mammals and viviparous squamate reptiles compared with birds, turtles, and oviparous squamates. No other moderators (timing and type of manipulation, age at offspring measurement, or type of trait measured) were significant predictors of the strength or direction of the phenotypic effects on offspring. These results provide evidence that the evolution of a prolonged physiological association between embryo and mother sets the stage for maladaptive, or adaptive, prenatal stress effects in vertebrates driven by glucocorticoid elevation.</p>
Database of digital media publications on maternal (family) capital in Russia in 2006-2019
<p><strong>Abstract</strong></p> <p>The database contains data from publications of digital Russian-language media of the Russian Federation on the topic of maternity capital in the period from May 10, 2006 to June 30, 2019. The database includes uploading general data on publications on maternity capital in .xls formats (UTF-8 encoding) . Full texts of publications are presented in .xml format.</p> <p>A specialized request was generated for the aggregator of publications of Russian-language digital mass media <a href="https://vk.com/away.php?to=http%3A%2F%2Fpublic.ru&cc_key=">public.ru</a> . In total, the database consists of 457888 publications of 7665 publishing houses from 1251 settlements in Russia on the territory of 85 regions. The database includes information about the date, type, authors, publisher and place of publication (municipality, region of the publisher), as well as full texts of publications.</p> <p> </p> <p>Keywords: database, digital media, maternal (family) capital, central and municipal media, Russia</p> <p>JEL codes: J10, J13, Z18.</p> <p> </p> <p><strong>Data format and access:</strong></p> <p>The database consists of full-text publications of digital media on the topic of maternity capital. Materials in Russian have been published in federal, regional and local digital media. Publication period: May 10, 2006 to June 30, 2019.</p> <p>The database consists of 457888 publications of 7665 publishing houses from 1251 settlements in Russia on the territory of 85 regions. Presentation format .csv, .xml (full texts). The file "Matkap_SMI_17_11_2021.csv" contains processed information from the extended full-text sample by years (contained in the "XML.rar" archive). </p> <p>pubData - date of publication (format "YYYY-MM-DD")</p> <p>text - text from "description" in xml-files after lemmatization (removal of punctuation, lowercase and remove punctuation, spaces, numbers)</p> <p>source - name of the electronic edition</p> <p>place - town or city in Russia</p> <p>type - type of electronic edition (newspaper, magazine, TV program, internet resource)</p> <p>period - frequency of publication</p> <p>positive - the number of unique positive words from the RuSentiLex2017 dictionary</p> <p>negative - the number of unique negative words from the RuSentiLex2017 dictionary</p> <p>neutral - the number of unique neutral words from the RuSentiLex2017 dictionary</p> <p><strong>Data collection methodology: </strong></p> <p>The aggregator of publications of Russian-language digital mass media <a href="https://vk.com/away.php?to=http%3A%2F%2Fpublic.ru&cc_key=">public.ru was used</a>. The selection of publications was limited to the time period from May 10, 2006 (Russian President Vladimir Vladimirovich Putin first announced the maternity capital programme in his message to the Federal Assembly, as one of the mechanisms to stimulate fertility and overcome the demographic crisis) to June 30, 2019 (until this date, the programme allowed full uploading of media publications without losses during the period of uploading publications from 01.08.2021 to 15.08.2021).</p> <p>Key words used to select articles on maternity capital: “maternal capital”, “maternity capital”, “family capital”, “paternal capital”. The publication had to repeat at least two phrases from the request, while the distance between the phrases had to be no more than 4 sentences. This excluded publications in which the topic of maternity capital was mentioned incidentally, indirectly.</p> <p>Duplicate articles were removed from the database. Duplicates related to publications that included a full repetition of the text of the publication itself, the publishing house and the municipality (location) of the publishing house. Duplications (reprints) of articles in other publishing houses or in other regions were not excluded. </p> <p>After lemmatization of the text (as well as after reducing the text to lower case, removing unnecessary spaces, numbers and punctuation), according to the RuSentiLex2017 dictionary (Loukachevitch N., Levchik A. Creating a General Russian Sentiment Lexicon. In Proceedings of Language Resources and Evaluation Conference LREC-2016, 2016.) unique positive, negative and neutral words and phrases (variables) were counted. Repetitions of tonal words (stances) are <strong>not counted.</strong></p>
Incorporating effects of age on energy dynamics predicts non-linear maternal allocation patterns in iteroparous animals
<p>Iteroparous parents face a trade-off between allocating current resources to reproduction versus maximizing survival to produce further offspring. Optimal allocation varies across age, and follows a hump-shaped pattern across diverse taxa, including mammals, birds and invertebrates. This non-linear allocation pattern lacks a general theoretical explanation, potentially because most studies focus on offspring number rather than quality and do not incorporate uncertainty or age-dependence in energy intake or costs. Here, we develop a life history model of maternal allocation in iteroparous animals. We identify the optimal allocation strategy in response to stochasticity when energetic costs, feeding success, energy intake, and environmentally-driven mortality risk are age-dependent. As a case study, we use tsetse, a viviparous insect that produces one offspring per reproductive attempt and relies on an uncertain food supply of vertebrate blood. Diverse scenarios generate a hump-shaped allocation: when energetic costs and energy intake increase with age; and also when energy intake decreases, and energetic costs increase or decrease. Feeding success and mortality risk have little influence on age-dependence in allocation. We conclude that ubiquitous evidence for age-dependence in these influential traits can explain the prevalence of non-linear maternal allocation across diverse taxonomic groups.</p>
Response to COVID-19: Clients' perspectives on the utilization of reproductive, maternal and child health care services in Nigeria
<p>This dataset was a part of a cross-sectional descriptive study in 320 rural communities in 32 Local Government Areas (LGAs) across the Federal Capital Territory (FCT), Abuja, and 9 out of the 36 Nigerian States in 2020. The dataset contains views of women who used primary health care centres in the selected LGAs for maternal and child health care, and family planning services before, during, and after the COVID-19 pandemic lockdown in Nigeria. The sample size was determined using the Yamane sample size formula. The estimated sample size per State was 384 (3,840 for nine States and FCT), with a 10% adjustment for non-response, the total sample size was 422 per State or location (4220 for the nine States and FCT). The data are stored in SPSS format. <br> The study was an initiative of UNFPA Nigeria. They coordinated it under the One UN Basket fund to respond to COVID-19 and implemented it under the supervision of three national NGOs: The Women’s Health and Action Research Centre (WHARC), Education as a Vaccine (EVA), and the Planned Parenthood Federation of Nigeria (PPFN). </p> <p> </p>
ScienceDex guides
Understand access before you commit
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.