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5,794 results for “Exposure”
NHS England COVID-19 Exposure Notification App and Test Availability Data
<p>This dataset was scraped from the API serving the NHS COVID-19 App for England and Wales, and the NHS COVID-19 test availability service.</p> <p>It contains the following files:</p> <p><strong>exposure_keys.csv</strong><br> Metadata associated with the published exposure keys for the Bluetooth Google/Apple Exposure Notification (GAEN) system. The actual broadcast keys were not collected, only the metadata attached to them. The columns in the table match those in the <a href="https://developers.google.com/android/exposure-notifications/exposure-key-file-format">exposure key export format</a>, with the exception of the "export_date" field which is the "end_timestamp" of the key export in which that key was first seen. This file is believed to be complete between 2020-09-13 and 2023-04-29 when the NHS COVID-19 app was retired.</p> <p><strong>exposure_configuration.csv</strong><br> This table contains the NHS COVID-19 App's exposure configuration JSON file fetched from the API, with a new record inserted whenever this changed. History of this file is also available in the <a href="https://github.com/ukhsa-collaboration/covid19-app-system-public">app's git repository</a>, and entries in this file from before 2021-07-11 were imported from there. The timestamps for entries dated since that point will match the time that the configuration was published to the API, which may not be the case for the git repository as this was normally updated after a delay.</p> <p><strong>risky_venues.csv</strong><br> "Risky venue" notification data for the COVID-19 App. This was an NHS App-specific feature, not part of the GAEN specification, which allowed users to "check in" to a venue and receive a notification if they were present at the same time as someone who subsequently tested positive for COVID-19. This file is believed to be complete between 2020-09-24 and 2022-02-22 (when it appears the "risky venue" feature was retired), with a known data collection gap between 2021-08-03 and 2021-08-06.</p> <p><strong>walk_in_pcr_availability.csv</strong><br> Walk-in PCR test availability for the entire UK, used by the NHS PCR test booking service. This contains JSON objects provided by the API, which are broken down by region. A new row was inserted whenever this JSON object changed. This file is believed to be complete between 2021-12-27 and 2022-03-30 (after which it appears the online test booking service was retired).</p> <p><strong>home_test_availability.csv</strong><br> Home test (PCR or Lateral Flow Device) availability, for the public and for "key workers" who had priority ordering PCR tests. A new row was inserted whenever the availability changed. This file is believed to be complete between 2021-12-27 and 2022-08-22 when the data ended.</p> <p> </p> <p>The final version of the source code used to fetch this data is <a href="https://doi.org/10.5281/zenodo.7883754">available here</a>.</p>
Exposure fusion applied to enable wider-angle transmission Kikuchi diffraction with direct electron detectors
<p>Raw dataset for "<strong>Exposure fusion applied to enable wider-angle transmission Kikuchi diffraction with direct electron detectors</strong>" by T.Zhang, T.B.Britton.</p> <ul> <li>ArXiv: https://doi.org/10.48550/arXiv.2306.14167</li> </ul> <p>An excel file with metadata of the patterns is included. </p> <p> </p> <p>Details will be updated after acceptance.</p> <p>Processing with the proposed methodology in the paper above requires the AstroEBSD toolbox in MATLAB. This is available on GitHub at https://zenodo.org/record/8078806</p>
Increased uptake of silica nanoparticles in inflamed macrophages but not upon co-exposure to micron-sized particles
<p>Silica nanoparticles (NPs) are widely used in various industrial and biomedical applications. Little is known about the cellular uptake of co-exposed silica particles, as can be expected in our daily life. In addition, an inflamed microenvironment might affect a NP’s uptake and a cell’s physiological response. Herein, prestimulated mouse J774A.1 macrophages with bacterial lipopolysaccharide were post-exposed to micron- and nanosized silica particles, either alone or together, i.e., simultaneously or sequentially, for different time points. The results indicated a morphological change and increased expression of tumor necrosis factor alpha in lipopolysaccharide prestimulated cells, suggesting a M1-polarization phenotype. Confocal laser scanning microscopy revealed the intracellular accumulation and uptake of both particle types for all exposure conditions. A flow cytometry analysis showed an increased particle uptake in lipopolysaccharide prestimulated macrophages. However, no differences were observed in particle uptakes between single- and co-exposure conditions. We did not observe any colocalization between the two silica (SiO<sub>2</sub>) particles. However, there was a positive colocalization between lysosomes and nanosized silica but only a few colocalized events with micro-sized silica particles. This suggests differential intracellular localizations of silica particles in macrophages and a possible activation of distinct endocytic pathways. The results demonstrate that the cellular uptake of NPs is modulated in inflamed macrophages but not in the presence of micron-sized particles.</p>
Processed metabolomic data from the EXPOsOMICS Personal Exposure Monitoring study
<p>Metabolomic data from the 'Variability of the Human Serum Metabolome over 3 Months in the EXPOsOMICS Personal Exposure Monitoring Study' paper <a href="https://doi.org/10.1021/acs.est.3c03233">DOI: 10.1021/acs.est.3c03233</a> . </p> <p>The data was originally collected and generated by the multicenter EXPOsOMICS Personal Exposure Monitoring study. Details on data collection and processing are described in the aforementioned paper. The statistical analysis from that paper is available at <a href="https://github.com/moosterwegel/variability-metabolites-paper">https://github.com/moosterwegel/variability-metabolites-paper</a> and may contain useful information/code to work with this data.</p> <p>`processed_covariate_data.csv`:<br> ```<br> Rows: 298<br> Columns: 7<br> $ subjectid: hashed identifier subject<br> $ sample_code: indicates if it's the first (A) or second (B) blood sample<br> $ centre: indicates in which centre the data was collected<br> $ age_cat: indicates age category at the time of a PEM session<br> $ sq_sex: indicates the sex of the participant (male, female) as filled in during the screening questionaire<br> $ traf: indicates the exposure to traffic (PM2.5 and UFP) as measured during the PEM sessions. <br> $ bmi_cat: indicates BMI category at the time of a PEM session<br> ```</p> <p>`processed_lcms_data data.csv` contains the processed LCMS data:<br> ```<br> Rows: 298<br> Columns: 4297<br> $ subjectid: hashed identifier subject<br> $ sample_code: indicates if it's the first (A) or second (B) blood sample<br> $ centre: indicates in which centre the data was collected<br> $ compounds: measured features (compounds) are prefixed by the letter X. The name contains information on the measured monoisotopicmass_retentiontime.<br> Non-detects (below limit of detection (LOD) are coded as 1 for the compounds.<br> ....<br> ```<br> In the datasets each row indicates a measurement on a day (`sample_code`) and person (`subjectid`). The datasets can be joined on these variables.</p> <p>The other data files (`annotations.xslx`, `ancestors_annotations.xlsx`, `annotations_plus_kegg_pathways.csv`) contain the annotations, ancestors of the annotations (to assign a class to a compound based on ChEBI ontology, see our paper for details), annotations plus KEGG pathways respectively. </p>
Datasets from the RecSys 2023 article "Ex2Vec: Characterizing Users and Items from the Mere Exposure Effect".
<p>We have publicly released the anonymized "new_release_stream.csv" dataset from the music streaming platform Deezer. This dataset is described in detail in the article titled "Ex2Vec: Characterizing Users and Items from the Mere Exposure Effect", which was published in the proceedings of the 17th ACM Conference on Recommender Systems (RecSys 2023).</p> <p>Each row in the dataset contains an anonymized user and item identifier, a reference timestamp in seconds (measured from the first consumption in the dataset), and a binary value "y". This "y" value indicates whether a song was listened to for more than 80% of its duration (y = 1) or not (y = 0).</p> <p>You can find this dataset in the GitHub repository <a href="https://github.com/deezer/ex2vec">deezer/ex2vec</a>, where it is used to reproduce experiments discussed in the article.</p> <p>If you plan to use our code or data in your work, please make sure to cite our paper accordingly.</p> <p> </p> <pre><code>@inproceedings{sguerra2023ex2vec, title={Ex2Vec: Characterizing Users and Items from the Mere Exposure Effect}, author={Sguerra, Bruno and Tran, Viet-Anh and Hennequin, Romain}, booktitle = {Proceedings of the 17th ACM Conference on Recommender Systems}, year = {2023} }</code></pre> <p> </p> <p> </p> <p> </p>
Combined exposure to CO2 and H2S significantly reduces the performance of the Mediterranean seagrass Posidonia oceanica: evidence from a volcanic CO2 vent
<p>The dataset is an excel file consisting of six sheets. The associated metadata file contains the description and other information about the dataset</p>
Short- And Long-Term Micro & Nano Particles Exposure to Estuarine Model Species at Variable Salinities
Micro (< 5mm) & Nano (1-1000 nm) plastic (MNP) particles are ubiquitous in the environment and have been shown to have a variety of effects on aquatic organisms. The effects of MNP exposure can vary depending on the type of MNP, the concentration of MNP, the duration of exposure, and the salinity of the water. This study used 5 plastic types including polyester (PE), polypropylene (PP), polylactic acid (PLA), polyethylene terephthalate (PETE) and tire particles (TP) in two forms, solid plastic particles and microfibers. To assess potential impacts on exposed organisms, early life stages of the estuarine indicator species Inland Silverside (Menidia beryllina) and mysid shrimp (Americamysis bahia) were exposed to three concentrations at micro- and nano-size fractions, and separately to leachate, across a 5-25 PSU salinity gradient. This exposure study was performed in longer term (21 days for Inland Silverside and 28 days for mysid shrimp) and shorter term (4 days for Inland Silverside and 7 days for mysid shrimp). Following MNP exposures of 7d (A. bahia) and 96 h (M. beryllina), behavioral assays were performed post-exposure from each treatment using a Danio Vision Observation Chamber (Noldus, Wageningen, the Netherlands) for the dark: light cycle as described previously (Siddiqui et al., 2022; Siddiqui et al., 2023; Mundy et al., 2021; Segarra et al., 2021). These behavior studies provide important information for risk assessments and policy making that can establish knowledge for MNPs risk.
Female mouse 60d water uranium exposure
Female mice were exposed to uranium in the drinking water for 60 days. Doses of uranium (in the form of uranyl acetate) were 0, 5, and 50 ppb. We examined 1) immune function of splenocytes (mitogenesis) 2) lymphocyte population subsets in the bone marrow, spleen and thymus (flow cytometry) 3) erythroid cell differentiation in the bone marrow (flow cytometry) 4) uranium concentrations in kidney, femur bone, liver, blood spleen thymus and bone marrow (ICP-MS).
Individually experienced temperatures: a heat exposure study in five greater Phoenix, AZ area neighborhoods (2014)
Urban environmental health hazards, including exposure to extreme heat, have become increasingly important to understand in light of ongoing climate change and urbanization. Most current knowledge about heat-health risks is based on measurements of outdoor air temperatures. Further, neighborhoods are often considered a homogenous and appropriate unit with which to assess risk and implement intervention strategies. Little is known about temperatures individuals actually experience within neighborhoods and cities, given differential access to cooling resources, complex activity patterns, and heterogeneous thermal and social environments. This dataset contains information collected during a study about individually experienced temperatures (IETs) within and between neighborhoods in Phoenix, Arizona. In September 2014, 80 research participants were recruited from 5 Phoenix-area neighborhoods and equipped with air temperature sensors that recorded IETs as they went about their daily lives. Surveys, activity log phone calls, and exit interviews were used to collect additional information from participants about demographics (age, race, gender), housing status, activities during the week, lifestyle, occupation, orientation toward the neighborhood, uses of indoor and outdoor spaces as well as public and private cooling resources. 86% of participants (69 out of 80) filled out background surveys, 89% of participants (71 out of 80) filled out daily surveys, 31% of participants (25 out of 80) engaged in activity log calls, and 48% of participants (39 out of 80) participated in exit interviews. The research team found that 1) variance in mean IET was relatively equal within each neighborhood and 2) significant differences existed in average mean IETs between neighborhoods. Data collected in this study help explain how intra-city differences in outdoor temperatures manifest themselves into IETs of urban residents. Individual differences are an overlooked determinant of heat expos
Heatmaps of quantitative and qualitative phenotypes of zebrafish pronephroi upon compound exposure
<p>Heatmaps of quantitative and qualitative phenotypes of embryonic zebrafish pronephroi after exposure to compounds from the Prestwick library.</p> <p>For further details please see:</p> <p><em>Westhoff JH, Steenbergen PJ, Thomas LSV, Heigwer J, Bruckner T, Cooper L, Tönshoff B, Hoffmann GF and Gehrig J (2020) In vivo High-Content Screening in Zebrafish for Developmental Nephrotoxicity of Approved Drugs. Front. Cell Dev. Biol. 8:583. doi: 10.3389/fcell.2020.00583</em></p> <p>The images represent full resolution versions of the thumbnails presented in: </p> <ol> <li>Supplementary Figure 3 | Fully annotated heat map of quantitative features.</li> <li>Supplementary Figure 4 | Fully annotated heat map of qualitative features.</li> </ol> <p> </p> <p> </p>
Gestational Cd exposure in the CD-1 mouse induces sex-specific hepatic insulin insensitivity, obesity and metabolic syndrome in adult female offspring
<p>There is compelling evidence that developmental exposure to some toxic metals increases risk for obesity and obesity-related morbidity including cardiovascular disease and type 2 diabetes in adults. To explore the hypothesis that developmental Cd exposure increased risk of obesity later in life, male and female CD-1 mice were maternally exposed to 500 ppb CdCl<sub>2</sub> in drinking water during a human gestational equivalent period (GD0 - PND10). Hallmark indicators of metabolic disruption, hepatic steatosis, and metabolic syndrome were evaluated prior to birth through adulthood. Blood Cd levels in dams were similar to those observed in human pregnancy cohorts. There were no observed impacts of exposure on dams or pregnancy-related outcomes. Results of glucose and insulin tolerance testing revealed that Cd-exposure impaired glucose homeostasis in young adult offspring. Exposure-related increases in circulating triglycerides and hepatic steatosis were apparent only in females. By PND120, Cd-exposed females had become 30% heavier with 700% more perigonadal fat than unexposed control females. There was no evidence of dyslipidemia, steatosis, increased weight gain, nor increased adiposity in Cd-exposed male offspring. Hepatic transcriptome analysis at PND1, PND21, and PND42 revealed evidence for female-specific increases in oxidative stress and mitochondrial dysfunction with significant early disruption of retinoic acid signaling and altered insulin receptor signaling consistent with hepatic insulin sensitivity in adult females. The observed steatosis and metabolic syndrome-like phenotypes resulting from exposure to 500 ppb CdCl<sub>2</sub> during the pre- and perinatal period of development equivalent to human gestation indicate that Cd acts developmentally as a sex-specific delayed obesogen.</p>
Annexes A and B to EFSA Scientific report "Chronic dietary exposure to inorganic arsenic"
<p><strong>Annex A-</strong> Contains the raw occurrence dataset on arsenic as extracted from the EFSA DWH on 30 April 2020 (no data cleaning applied), with the food samples presented in the scientific report as described in its section 2.1. Occurrence data. The data are provided in csv format. This dataset is compliant with EFSA SSD model and contains two additional columns documenting issues identified in the cleaning process (column: issue) and the action taken (column: action) to address the issue (e.g. deleted record or updated values in specific fields). The link to the catalogues of controlled terminologies can be found under "Related identifiers”. </p> <p><strong>Annex B-</strong> Contains summary statistics on occurrence data, consumption data, and dietary exposure assessment results.</p> <p>Table B1. Dietary surveys per country and age group available in the EFSA Comprehensive Database considered in the chronic dietary exposure assessment to inorganic arsenic.</p> <p>Table B2. Analytical data on iAs after data cleaning and analysis steps (13,608 analytical results).<br> Table B3. Occurrence values of inorganic arsenic in food (µg/kg) as used for the exposure assessment.<br> Table B4. Occurrence values of total arsenic in food (µg/kg).<br> Table B5. Summary of the chronic dietary exposure assessment to inorganic arsenic (µg/kg bw per day).<br> Table B6. Detailed chronic dietary exposure assessment to inorganic arsenic (µg/kg bw per day) by European dietary surveys and age classes.</p> <p>Table B7. Main contributing food groups (%) to the mean LB and UB chronic dietary exposure to inorganic arsenic across European dietary surveys and age classes.</p> <p>Table B8. Detailed mean contribution of food groups (%) to the mean LB and UB chronic dietary exposure to inorganic arsenic across European dietary surveys and age classes. </p>
XIS: A daily spatiotemporal machine-learning model for environmental exposures in the contiguous United States
<p>These Parquet files contain the outputs used for many analyses and plots in the linked papers. For temperature and humidity, the full sets of observations for cross-validation aren't included because we used restricted-use MADIS data.</p>
Dataset for: Cattle aggregations at shared resources create potential parasite exposure hotspots for wildlife
<p>Globally rising livestock populations and declining wildlife numbers are likely to dramatically change disease risk for wildlife and livestock, especially at resources where they congregate. However, limited understanding of interspecific transmission dynamics at these hotspots hinders disease prediction or mitigation. In this study, we combined gastrointestinal nematode density and host foraging activity measurements from our prior work in this system with three estimates of parasite-sharing capacity to investigate how interspecific exposures alter the relative riskiness of an important resource – water – among cattle and five dominant herbivore species in an East African tropical savanna. </p> <p>We found that due to their high parasite output, water dependence, and parasite-sharing capacity, cattle greatly increased potential parasite exposures at water sources for wild ruminants. When untreated for parasites, cattle accounted for over two-thirds of total potential exposures around water for wild ruminants, driving 2–23-fold increases in relative exposure levels at water sources. Simulated changes in wildlife and cattle ratios showed that water sources become increasingly important hotspots of interspecific transmission for wild ruminants when the relative abundance of cattle parasites increases. These results emphasize that livestock have significant potential to alter the level and distribution of parasite exposures across the landscape for wild ruminants.</p>
Dataset related to article "Phantom‑based analysis of variations in automatic exposure control across three mammography systems: implications for radiation dose and image quality in mammography, DBT, and CEM"
<p>The dataset comprises information from several DICOM tags extracted from digital mammography (DM), digital breast tomosynthesis (DBT), and contrast-enhanced mammography (CEM) images acquired in a phantom study aimed at characterizing the automatic exposure control (AEC) behavior of diverse mammography equipment. The final ten columns of the datasets encompass signal (mena pixel values, MPV) and noise (standard deviation, SD) measurements derived from phantom images. These measurements are used to compute several image quality metrics, including contrast, signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), CNR relative difference in comparison to the 45 mm reference thickness, and a figure of merit (FOM) obtained by diving the squared CNR by the mean glandular dose (MGD).</p>
Dataset from: Tolerance to aerial exposure influences distributional patterns in multi-species intertidal seagrass meadows
<p>This is the dataset for an article published in Marine Environmental Research titled, 'Tolerance to aerial exposure influences distributional patterns in multi-species intertidal seagrass meadows', in October 2023. Following is the abstract for the paper for which this was the primary data:</p><p>Multi-specific seagrass meadow assemblages dominate most tropical intertidal regions but the relative role of environmental stress in determining distribution patterns is still uncertain. Here we combine observational and experimental approaches to examine aerial exposure as a factor driving species occurrence patterns in intertidal meadows of the Andaman archipelago, where up to 6 seagrass species co-occur. In the studied meadow, patterns of exposure did not map onto distance from the coast, instead creating a patchy matrix of exposure, based on fine-scale bathymetric differences. Distributional surveys showed that seagrass species were similarly patchy, often tracking the degree of aerial exposure during low tide. While some species (<i>Halophila ovalis, Halophila minor,</i> and <i>Thalassia hemprichii</i>) frequently occurred in submerged or subtidal areas and were rarely found in completely exposed areas, other species (<i>Cymodocea rotundata</i>, <i>Halophila beccarii,</i> and <i>Halodule uninervis</i>) also occupied areas that were subject to partial or complete aerial exposure during low tide. To confirm this pattern, we used field-based transplant experiments, employing a natural gradient of tidal exposure to subject six seagrass species to different desiccation exposure times. After a month, <i>H. beccarii</i> and <i>H. uninervis</i> transplants survived in areas that sustained more than 3 h of aerial tidal exposure without significant mortality, compared with other species (<i>H. ovalis, H. minor, T. hemprichii, C. rotundata</i>) that showed dramatic shoot mortality at the same exposure regimes. For all species, 4 h represented the upper limit of exposure, in both experimental and distributional studies. However, despite their wider tolerance of exposure to air, <i>H. beccarii</i> and <i>H. uninervis</i> did not dominate the entire meadow. This could be a result either of their poor tolerance to other environmental factors or their lower competitive abilities among other mechanisms. This suggests that in tropical multi-specific meadows, strong environmental filters could override clear intertidal zonation to create patchy matrices based on species tolerances.</p>
Transgenerational exposure to deoxygenation and warming disrupts mate detection in Gammarus locusta
<p class="s4"><span class="s9">Ocean deoxygenation and warming have been shown to pose a growing threat to the health of marine organisms and ecosystems. Yet, the potential for acclimation and adaptation remains poorly understood. The aim of this study was to evaluate the effects of transgenerational exposure to reduced oxygen availability and elevated seawater temperature on the chemosensory-dependent mating mechanisms of male amphipods </span><span class="s10"><em>Gammarus</em> <em>locusta</em></span><span class="s9">. Three subsequent generations were exposed to four experimental treatments for 30 days: i) present-day scenario, ii) warming; iii) deoxygenation; and iv) warming+deoxygenation. After exposure, the number of individuals that reached adulthood was gauged, and adult males from F<sub>0</sub> and F<sub>1</sub> were subjected to behavioral trials to assess their capacity of long-distance female cue detection through quantification of response time, first direction of movement, activity rate, and proportion of time spent in female scent cues. Ocean-warming-induced mortality and reduced oxygen availability had adverse effects on each of the investigated behavioral traits, which were amplified when combined with elevated temperature. Still, when compared to F<sub>0</sub>, the F<sub>1</sub> generation demonstrated more adaptability (i.e., higher activity rate and preference for female odors) to the combination of the two stressors, suggesting positive carry-over effects. Nevertheless, full recovery to control levels was not observed. Altogether, this study indicates that future scenarios of ocean deoxygenation and warming have the potential to disrupt chemosensory-dependent mate detection in amphipods, but also suggests possible behavioral adaptations. We call for greater research efforts on long-term impacts of ocean change on the behavioral and physiological processes of benthic coastal communities.</span></p>
Microbiome depletion and recovery in the sea anemone, Aiptasia, following antibiotic exposure
<p>This provides data for the manuscript Microbiome depletion and recovery in the sea anemone, Aiptasia, following antibiotic exposure; 16smetadata.xlsx file used for in the DADA2 pipeline is provided, and the CFU count data is provided in cfu-counts-2022-01-20-modified.csv. The data for total protein content, pedal lacerate counts and algal abundance can all be found in the physio-2022-01-20.csv with the associated dataset (i.e. protein, algae, pedal lacerates) specified in the variable column.</p>
Minute-Level Human Activity and Particulate Matter Exposure Dataset from Ljubljana, Slovenia
<p>This dataset encompasses detailed measurements of human activities and particulate matter exposure at a minute-level resolution, collected in Ljubljana, Slovenia from September 24 to October 31, 2020. Data was gathered from 18 participants using a combination of devices: a personal particulate matter monitor (PPM), a Garmin Vivosmart 3 smart activity tracker (SAT), and the Clockify app. The PPM provided real-time measurements of particulate matter concentrations (PM1, PM2.5, and PM10), as well as environmental parameters like temperature, humidity, and altitude. The SAT tracker offered insights into personal health data, including average heart rate and metabolic equivalent of task (MET). Clockify app was utilized for detailed logging of various activities categorized with minute accuracy.</p> <p>Key variables included in the dataset are:</p> <ol> <li>Participant ID</li> <li>Date of data collection</li> <li>Time of data recording (minute accuracy)</li> <li>Specific task or activity performed</li> <li>Particulate matter - PM1 - concentrations</li> <li>Particulate matter - PM2.5 - concentrations</li> <li>Particulate matter - PM10 - concentrations</li> <li>Environmental temperature</li> <li>Relative humidity</li> <li>Altitude</li> <li>Speed</li> <li>Average heart rate</li> <li>Metabolic equivalent of task</li> </ol> <p>This dataset offers a resource for exploring the interplay between individual behaviors and air pollution exposure, with applications in environmental health research and the development of machine learning models for activity recognition.</p>
Chronic exposure to glucocorticoids amplifies inhibitory neuron cell fate during human neurodevelopment in organoids
<p><strong>Abstract: </strong>Disruptions in the tightly regulated process of human brain development have been linked to increased risk for brain and mental illnesses. While the genetic contribution to these diseases is well established, important environmental factors have been less studied at molecular and cellular levels. In this study, we used single-cell and cell-type-specific techniques to investigate the effect of glucocorticoid (GC) exposure, a mediator of antenatal environmental risk, on gene regulation and lineage specification in unguided human neural organoids. We characterized the transcriptional response to chronic GC exposure during neural differentiation and studied the underlying gene regulatory networks by integrating single-cell transcriptomics- with chromatin accessibility data. We found lasting cell type-specific changes that included autism risk genes and several transcription factors associated with neurodevelopment. Chronic GCs influenced lineage specification primarily by priming the inhibitory neuron lineage through key transcription factors like PBX3. We provide evidence for convergence of genetic and environmental risk factors through a common mechanism of altering lineage specification.</p>
ScienceDex guides
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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.