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5,794 results for “exposures”
Urinary metabolic dysregulations associated to thirdhand smoke exposure in mice: Implications for human urine biomonitoring
<p>This dataset contains all raw LC-MS and GC-MS data of urine extracts from mice exposed to thirdhand smoke (THS) used in the paper<em> Urinary metabolic dysregulations associated to thirdhand smoke exposure in mice: Implications for human urine biomonitoring</em>.</p> <p><strong>Objective:</strong> The goal of this study is to characterize the THS-induced molecular alterations in urine using an LC-MS and GC-MS based untargeted metabolomic approaches. We have selected urine as a target matrix because it is a non-invasive valuable diagnostic biofluid, rich in metabolites that reflect dysregulations of all biochemical pathways, which also has been one of the most widely used biofluid to assess human exposure to tobacco smoke.</p> <p><strong>Experimental groups:</strong> Urine extracts were from two mice groups: control group (CTRL, n=5), which was never exposed to THS; and THS exposed group (THS, n=5), which was exposed to THS from weaning (three weeks of age) to 24 weeks weeks without exposure to SHS during the study.</p> <p><strong>Sample extraction:</strong> Metabolites were extracted using a mixture of methanol and Milli-Q water. In the case of GC-MS, samples were pre-treated with urease prior metabolite extraction and dried under nitrogen, lyophilized, and derivatized after extraction. Quality control samples (QCs) were prepared by pooling equal volumes of each extract and analysed every five samples to ensure data quality and reproducibility.</p> <p><strong>LC-MS analysis: </strong>LC-MS urine extracts were analysed using a 1290 UHPLC system coupled to a 6550 quadrupole time of flight (QTOF) mass spectrometer from Agilent Technologies operated in ESI+ mode. Chromatographic separation was conducted on a ACQUITY UPLC HSS T3 C18 column (1.8 µm, 150 × 2.1 mm, Waters). MS/MS was performed in targeted mode, and the instrument was set to acquire over the m/z range 50-1000, with a default iso width of 4 m/z. The collision energy was fixed at 20 V.</p> <p><strong>GC-MS analysis:</strong> GC-MS urine extracts were analysed using a 7890A gas chromatograph coupled to a 7200 QTOF mass spectrometer from Agilent Technologies. The MS was operated in the electron impact ionization mode at 70 eV, with a fixed emission current of 20 µA.</p> <p><strong>Files are named following this code:</strong></p> <ol> <li><strong>Folders: </strong>mzDATA: contains GC-MS and LC-MS raw data in mzXML format; LC-MSMS: contains LC-MS/MS data used for identification of metabolites in mzXML format.</li> <li><strong>Analytical approaches:</strong> GCMS: data from GC-MS urine extracts; LCMS: data from LC-MS urine extracts.</li> <li><strong>Samples: </strong>CTRL: control group; THS: THS exposed group.</li> </ol> <p><strong>Technical information</strong></p> <ol> <li>Sample extraction and data acquisition (single date, range, approximate date): 2016-2017</li> <li>Data analysis (single date, range, approximate date): 2017-2021</li> <li>Geographic location of data collection: <ul> <li>Mice exposure: Department of Molecular, Cell and Systems Biology, University of California, Riverside CA 92521, U.S.A.</li> <li>Sample extraction and data acquisition: Universitat Rovira i Virgili, Departament d’Enginyeria Electrònica, Elèctrica i Automàtica, Tarragona, Spain.</li> </ul> </li> <li>Information about funding sources that supported the collection of the data: This research was funded by the European Union’s Horizon 2020 research and innovation pro-gramme under the Marie Sklodowska-Curie grant agreement No. 660034; the Secretaria d’Universitats i Recerca del Departament d’Empresa i Coneixement de la Generalitat de Catalunya through C.M.’s predoctoral grant number 2020 FI_B2 00118; the Spanish Ministry of Science & Innovation through N.R.’s Juan de la Cierva Incorporación grant No. (IJCI- 2015-23158); N.R.’s Miguel Servet contract (CP19/00060) from Instituto de Salud Carlos III, co-financed by Fondo Europeo de Desarrollo Regional (FEDER), Unión Europea, “Una manera de hacer Europa”; and the Tobacco-Related Disease Research Program (TRDRP) of the University of California under projects 22RT- 0121 and 23DT-0103.</li> </ol>
Coastal dataset including exposure and vulnerability layers, Deliverable 3.1 - ECFAS Project (GA 101004211), www.ecfas.eu
<p>The European Copernicus Coastal Flood Awareness System (ECFAS) project aimed at contributing to the evolution of the Copernicus Emergency Management Service (https://emergency.copernicus.eu/) by demonstrating the technical and operational feasibility of a European Coastal Flood Awareness System. Specifically, ECFAS provides a much-needed solution to bolster coastal resilience to climate risk and reduce population and infrastructure exposure by monitoring and supporting disaster preparedness, two factors that are fundamental to damage prevention and recovery if a storm hits.</p><p>The ECFAS Proof-of-Concept development ran from January 2021 to December 2022. The ECFAS project was a collaboration between Scuola Universitaria Superiore IUSS di Pavia (Italy, ECFAS Coordinator), Mercator Ocean International (France), Planetek Hellas (Greece), Collecte Localisation Satellites (France), Consorzio Futuro in Ricerca (Italy), Universitat Politecnica de Valencia (Spain), University of the Aegean (Greece), and EurOcean (Portugal), and was funded by the <strong>European Commission H2020 Framework Programme</strong> within the call LC-SPACE-18-EO-2020 - Copernicus evolution: research activities in support of the evolution of the Copernicus services.</p><p><i><strong>Description of the containing files inside the Dataset.</strong></i></p><p>The ECFAS Coastal Dataset represents a single access point to publicly available Pan-European datasets that provide key information for studying coastal areas. The publicly available datasets listed below have been clipped to the coastal area extent, quality-checked and assessed for completeness and usability in terms of coverage, accuracy, specifications and access. The dataset was divided at European country level, except for the Adriatic area which was extracted as a region and not at the country level due to the small size of the countries. The buffer zone of each data was 10km inland in order to be correlated with the new Copernicus product Coastal Zone LU/LC.</p><p>Specifically, the dataset includes the new Coastal LU/LC product which was implemented by the EEA and became available at the end of 2020. Additional information collected in relation to the location and characteristics of transport (road and railway) and utility networks (power plants), population density and time variability. Furthermore, some of the publicly available datasets that were used in CEMS related to the above mentioned assets were gathered such as OpenStreetMap (building footprints, road and railway network infrastructures), GeoNames (populated places but also names of administrative units, rivers and lakes, forests, hills and mountains, parks and recreational areas, etc.), the Global Human Settlement Layer (GHS) and Global Human Settlement Population Grid (GHS-POP) generated by JRC. Also, the dataset contains 2 layers with statistics information regarding the population of Europe per sex and age divided in administrative units at NUTS level 3. The first layer includes information for the whole of Europe and the second layer has only the information regarding the population at the Coastal area. Finally, the dataset includes the global database of Floods protection standards. Below there are tables which present the dataset.</p><p>* Adriatic folder contains the countries: Slovenia, Croatia, Montenegro, Albania, Bosnia and Herzegovina</p><p>* Malta was added to the dataset</p><p><strong>Copernicus Land Monitoring Service:</strong></p><p><strong>Coastal LU/LC</strong></p><p>Scale 1:10.000; A Copernicus hotspot product to monitor landscape dynamics in coastal zones</p><p><strong>EU-Hydro - Coastline</strong></p><p>Scale 1:30.000; EU-Hydro is a dataset for all European countries providing the coastline</p><p><strong>Natura 2000</strong></p><p>Scale 1: 100000; A Copernicus hotspot product to monitor important areas for nature conservation</p><p><strong>European Settlement Map</strong></p><p>Resolution 10m; A spatial raster dataset that is mapping human settlements in Europe</p><p><strong>Imperviousness Density</strong></p><p>Resolution 10m; The percentage of sealed area</p><p><strong>Impervious Built-up</strong></p><p>Resolution 10m; The part of the sealed surfaces where buildings can be found</p><p><strong>Grassland 2018</strong></p><p>Resolution 10m; A binary grassland/non-grassland product</p><p><strong>Tree Cover Density 2018</strong></p><p>Resolution 10m; Level of tree cover density in a range from 0-100%</p><p> </p><p><strong>Joint Research Center:</strong></p><p><strong>Global Human Settlement Population Grid</strong><br><strong>GHS-POP)</strong></p><p>Resolution 250m; Residential population estimates for target year 2015</p><p><strong>GHS settlement model layer</strong><br><strong>(GHS-SMOD)</strong></p><p>Resolution 1km: The GHS Settlement Model grid delineates and classify settlement typologies via a logic of population size, population and built-up area densities</p><p><strong>GHS-BUILT</strong></p><p>Resolution 10m; Built-up grid derived from Sentinel-2 global image composite for reference year 2018</p><p><strong>ENACT 2011 Population Grid</strong></p><p><strong>(ENACT-POP R2020A)</strong></p><p>Resolution 1km; The ENACT is a population density for the European Union that take into account major daily and monthly population variations</p><p><strong>JRC Open Power Plants Database (JRC-PPDB-OPEN)</strong></p><p>Europe's open power plant database</p><p><strong>GHS functional urban areas</strong><br><strong>(GHS-FUA R2019A)</strong></p><p>Resolution 1km; City and its commuting zone (area of influence of the city in terms of labour market flows)</p><p><strong>GHS Urban Centre Database</strong><br><strong>(GHS-UCDB R2019A)</strong></p><p>Resolution 1km; Urban Centres defined by specific cut-off values on resident population and built-up surface</p><p> </p><p><strong>Additional Data:</strong></p><p><strong>Open Street Map (OSM)</strong></p><p>BF, Transportation Network, Utilities Network, Places of Interest</p><p><strong>CEMS</strong></p><p>Data from Rapid Mapping activations in Europe</p><p><strong>GeoNames</strong></p><p>Populated places, Adm. units, Hydrography, Forests, Hills/Mountains, Parks, etc.</p><p><strong>Global Administrative Areas</strong></p><p>Administrative areas of all countries, at all levels of sub-division</p><p><strong>NUTS3 Population Age/Sex Group</strong></p><p>Eurostat population by age and sex statistics interescted with the NUTS3 Units</p><p><strong>FLOPROS</strong></p><p>A global database of FLOod PROtection Standards, which comprises information in the form of the flood return period associated with protection measures, at different spatial scales</p><p> </p><p><i><strong>Disclaimer:</strong></i></p><p>ECFAS partners provide the data "as is" and "as available" without warranty of any kind. The ECFAS partners shall not be held liable resulting from the use of the information and data provided.</p><p>This project has received funding from the Horizon 2020 research and innovation programme under grant agreement No. 101004211</p>
Raw and analyzed data for manuscript "Cold plasma for sustainable control of hygienically relevant biofilms. The interaction of plasma distance and exposure time"
<p><strong>Abstract</strong></p> <p>Managing biofilms on the surface of materials is one of the most important public health challenges. One of the possible approaches could be the treatment of biofilms with cold plasma as a sustainable and effective method to destroy biofilms. The aim of this study was to analyse the efficacy of a new open-source cold plasma device especially adapted for treatment with low power consumption of 35 W. We tested the reduction of bacterial cells in biofilms of <em>E. coli, S. aureus</em> and <em>P. aeruginosa</em> after treatment with different exposure times and distance regimes. The results show great antibacterial potential in the form of distinct zones of inhibition on solid growth media. In addition, analysis of biofilm efficacy shows significant differences between bacterial cells, suggesting that Gramme-positive <em>S. aureus</em> is less susceptible to plasma treatment than Gramme-negative <em>E. coli</em> and <em>P. aeruginosa</em>. The results show that increasing the exposure time and decreasing the distance between the nozzle and the biofilm decreases the number of cells in the biofilm (p < 0.05). However, the combination of close distance and long exposure time resulted in synergistic effects in bacterial reduction. We demonstrated a reduction of up to 6.6 CFU cm<sup>2</sup> for <em>E. coli</em> at a distance of 1 mm and an exposure time of 60 seconds. All these indicate that the new cold plasma jet device can be an important key to ensure surface hygiene and numerous applications in medicine and engineering are possible.</p>
Datasets - Toxicological effects of zinc oxide nanoparticle exposure: an in vitro comparison between dry aerosol air-liquid interface and submerged exposure systems
<p>Datasets for the toxicological data generated and presented in the following article: Toxicological effects of zinc oxide nanoparticle exposure: an in vitro comparison between dry aerosol air-liquid interface and submerged exposure systems. DOI: 10.1080/17435390.2021.1884301.</p>
Data from: Geothermal stickleback populations prefer cool water despite multigenerational exposure to a warm environment
<p>Given the threat of climate change to biodiversity, a growing number of studies are investigating the potential for organisms to adapt to rising temperatures. Earlier work has predicted that physiological adaptation to climate change will be accompanied by a shift in temperature preferences, but empirical evidence for this is lacking. Here, we test whether exposure to different thermal environments has led to changes in preferred temperatures in the wild. Our study takes advantage of a 'natural experiment' in Iceland, where freshwater populations of threespine sticklebacks (Gasterosteus aculeatus) are found in waters warmed by geothermal activity year-round (warm habitats), adjacent to populations in ambient-temperature lakes (cold habitats). We used a shuttle-box approach to measure temperature preferences of wild-caught sticklebacks from three warm-cold population pairs. Our prediction was that fish from warm habitats would prefer higher water temperatures than those from cold habitats. We found no support for this, as fish from both warm and cold habitats had an average preferred temperature of 13oC. Thus, our results challenge the assumption that there will be a shift in ectotherm temperature preferences in response to climate change. In addition, since warm-habitat fish can persist at relatively high temperatures despite a lower temperature preference, this suggests that preferred temperature alone may be a poor indicator of a population's adaptive potential to a novel thermal environment.</p>
A dataset of desertification exposure (2001-2018)
<p>Desertification is revised as: in dryland areas (including hyper-arid areas AI<0.05), non-forest land covers in 2000 change into bare land, and the bareness results in deprivation of essential ecosystem services. According to categories of land degradation, total desertification (code 205) is further defined as agriculture desertification (code 2), grassland desertification (code 3), wetland desertification (code 4), shrubland desertification (code 5) and sparse vegetation desertification (code 6), respectively. Aridity index is from TerraClimate with a 4-km resolution (<a href="https://www.climatologylab.org/terraclimate.html">https://www.climatologylab.org/terraclimate.html</a>), land cover products are ESA CCI-LC product (<a href="http://maps.elie.ucl.ac.be/CCI/viewer/index.php">http://maps.elie.ucl.ac.be/CCI/viewer/index.php</a>), population data exposed to desertification are adjusted WorldPop population data (<a href="https://www.worldpop.org/geodata/listing?id=69">https://www.worldpop.org/geodata/listing?id=69</a>) with a 300-m resolution。</p> <p>The study period is 2001-2018, and the spatial resolution is 300-m.</p> <p>Desertification types include agriculture desertification (code 2), grassland desertification (code 3), wetland desertification (code 4), shrubland desertification (code 5) and sparse vegetation desertification (code 6).</p>
Drivers of bat activity at wind turbines advocate for mitigating bat exposure using multicriteria algorithm-based curtailment
<p>data used for the paper</p>
Drought exposure leads to rapid acquisition and inheritance of herbicide resistance in the weed Alopecurus myosuroides
<p>This dataset contains data from two-part greenhouse experiments described in the paper: "Vian H. Mohammad, Colin P. Osborne & Robert P. Freckleton (2022) Drought exposure leads to rapid acquisition and inheritance of herbicide resistance in the weed <i>Alopecurus myosuroides</i>". </p> <p>Globally, herbicide resistance in weeds poses a threat to food security. Resistance evolves rapidly through the co-option of a suite of physiological mechanisms that evolved to allow plants to survive environmental stress. Consequently, we hypothesize that stress tolerance and herbicide resistance are functionally linked. We address two questions: (i) does exposure to stress in a parental generation promote the evolution of resistance in the offspring? (ii) Is such evolution mediated through non-genetic mechanisms? We exposed individuals of a grass weed to drought and tested whether this resulted in herbicide resistance in the first generation (F1).</p> <p>In the first experiment ("Exposure to stress in a parental generation promote the evolution of resistance in the offspring"), the effect of three levels of drought ("none, medium and high") is studied in five different nive populations of black-grass. Plant height, above ground biomass and seed weight were measured to estimate the influence of drought treatments on the phenotype. In addition, surviving and dead plants were assessed to evaluate the tolerance of <i>A.</i> <i>myosuroides</i> to drought stress. The drought treatments were initiated 30 days after emergence. In the h<span>erbicide assay experiment, </span>the seedlings of F1 of all populations were sprayed with fenoxaprop-P-ethyl herbicide (as "Puma Super" – 69 g a.i. L<sup>−1</sup>, Bayer Crop Science) using two different doses, a lethal dose (40 g a.i. h<sup>−1</sup>) and sub-lethal dose (20 g a.i. h<sup>−1</sup>). 28 days after herbicide application, dead and damaged plants were assessed. Surviving plants were categorised in two ways to account for the differential outcomes of exposure to herbicide: plants were categorised as 'surviving' if they showed no visible effects of herbicide exposure, or 'damaged' if they survived but with obvious effects on above ground tissues.</p> <p>In the second experiment ("<span>The role of non-genetic inheritance"), the effect of </span>two levels of drought ("none and high") is studied in 15 different populations of cloned black-grass plants. Each plant was divided into two clones. Plants were cloned to produce two identical seedlings for the investigation of the role of epigenetic mechanisms in herbicide resistance evolution. After 14 days t<span>he cloned plants were re-potted and allowed to establish for one week before initiating a drought stress treatment. One set of the cloned plants was exposed to drought and the second set was grown under well-watered conditions. </span>Plant height, above ground biomass and seed weight were measured, in addition to the number of surviving and dead plants. The herbicide assay was carried out using the five populations that possessed a high rate of viability and germination rate in both treatments ("none" and "high" drought). At the 3-4 leaves stage in September 2018, the seedlings were sprayed with fenoxaprop-p-ethyl herbicide ("Puma Super" – 69 g a.i. L<sup>−1</sup>, Bayer Crop Science) using two different doses as previously described. 28 days after herbicide application (October 2018) dead and damaged plants were assessed as described above.</p> <p>In terms of both survival and dry mass, we find enhanced resistance to herbicide in the F1 plants when the parents had been exposed to drought. Our results suggest that exposure of weeds to drought can confer herbicide resistance in subsequent generations and that the mechanism conferring heritability of herbicide resistance may be non-genetic.</p>
Supplementary Data for Manuscript : "Application of OSL surface exposure dating with the use of two-dimensional OSL laser scanning instruments and energy-dispersive x-ray spectroscopy'
<p>Contains all supplementary works mentioned in the manuscript.</p>
Seattle Children's Deidentified Health Outcomes with Residential PM2.5 Exposure (2006 - 2020)
<p>This dataset in .rda format contains all the health outcomes used in UW/Seattle Children's Hospital study that evaluated the association between wildfire smoke days and hospital encounters. The dataset includes deidentified health outcomes (categorized by APR-DRGs and ICD codes), clinical information regarding the encounter, patient residential county and zip code, and exposure variables (PM2.5 and Humidex) linked by patient residential zip code. </p>
Transmission of a bumblebee parasite is robust despite exposure to extreme temperatures
<p>Data for Transmission of a bumblebee parasite is robust despite exposure to extreme temperatures</p>
Exposure to a Vitamin D Best Practices Toolkit, Model, & E-Tools Increases Knowledge, Confidence, and Translation of Research to Public Health and Practice
<p>Preventable vitamin D deficiency (VDD) is a global health concern. Prevention, early detection, and treatment of vitamin D deficiency aligning with serum 25-hydroxyvitamin D recommendations of 40-60 ng/ml (100-150 nmol/L) by an international panel of 48 vitamin D researchers would result in significant health benefits and cost-savings to individuals and society. However, research shows healthcare professionals lack knowledge and confidence in vitamin D best practices. A vitamin D toolkit was developed, including a model for decision-making support, e-tools, and accompanying resources, and implemented using an online, asynchronous learning management system. The pre-, post-test, and follow-up survey study design aimed to increase nurses’ and dietitians' levels of vitamin D knowledge, confidence, translation of evidence into spheres of practice and influence, and identify translation barriers. Toolkit completion increased participants’ (n=119) knowledge, 31% to 65% (p <0.001) and confidence 2.0 to 3.3 (p<0.001) on a scale of 1-5. Respondents reported using the model (100%) as a framework successfully guiding the translation of vitamin D knowledge into their sphere of influence or practice (94%) and identified translation barriers. The toolkit should be included in interdisciplinary continuing education, research/quality improvement initiatives, healthcare policy, and institutions of higher learning to increase movement of research to practice.</p>
Supplementary Documents for Manuscript 'Investigating the use of two-dimensional OSL laser scanning instruments and energy-dispersive x-ray spectroscopy for OSL exposure dating'
<p>Appendix Data for Manuscript 'Investigating the use of two-dimensional OSL laser scanning instruments and energy-dispersive x-ray spectroscopy for OSL exposure dating' - with added "Readme's" for relevant databases.</p>
EEG Recordings of Exposure to Unrealistic, Semi-realistic and Realistic Character Faces - A Pilot Study
<p>This dataset contains the recordings of the EEG signal collected in the 2023 study "Investigating the Uncanny Valley Phenomenon Through the Temporal Dynamics of Neural Responses to Virtual Characters" published in the IEEE Conference on Games proceedings.</p> <p>The experimental procedure and the analysis scripts can be found at <a href="https://github.com/itubrainlab/uncanny-face-eeg">https://github.com/itubrainlab/uncanny-face-eeg</a></p> <h3>Follow-up (full) study</h3> <p>This dataset contains only data from the first pilot study on the Uncanny Valley; you can find the dataset of the full follow-up study at <a href="https://zenodo.org/records/14864689">https://zenodo.org/records/14864689</a></p>
Datatset of exposure of rotenone and moringa oleifera on larvae of zebra fish
<p>This dataset contains:</p> <p>1. List of tools and utensils used</p> <p>2. Observation result of moringa oleifera</p> <p>3. Observation result of length of zebra fish after exposure </p>
A high spatial resolution dataset for methylmercury exposure in Guangdong-Hong Kong-Macao Greater Bay Area
<p>This database describes the gridded dietary MeHg exposure of the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) from 2009 to 2019 at the resolution of 1 km×1 km. The dataset classifies the gridded data on dietary MeHg exposure into three parts (i.e., the Pearl River Delta, Hong Kong, and Macao). The data files are in tif format and named based on the years.</p>
Lead exposure is correlated with reduced nesting success of an urban songbird
<p>Lead exposure is a concern in urban ecosystems, with physiological and behavioral effects well documented in humans. Wildlife inhabiting urban ecosystems are also exposed to lead, yet little work has documented the sublethal effects of lead exposure in urban wildlife. We studied northern mockingbirds (<em>Mimus polyglottos</em>) in three neighborhoods of New Orleans, Louisiana, two with high soil lead and one with low soil lead, to better understand how lead exposure may influence mockingbirds' reproductive biology. We monitored nesting attempts, measured lead concentrations in the blood and feathers of nestling mockingbirds, documented egg hatching and nesting success, and assessed rates of sexual promiscuity in relation to neighborhood soil lead levels. We found that nestling mockingbirds' blood and feather lead levels reflected the lead levels of their neighborhood soil lead level and nestling blood lead levels were similar to adult mockingbirds in the same neighborhoods. Nest success, as evaluated by daily survival rates, was higher in the lower lead neighborhood. Clutch sizes varied substantially across neighborhoods, but rates of unhatched eggs did not covary with neighborhood lead levels, suggesting that other drivers are influencing variation in clutch sizes and hatching success in urban habitats. At least one-third of nestling mockingbirds were sired by an extra-pair male, and there was no relationship between extra-pair paternity rates and neighborhood lead levels. This study provides insight into how lead contamination may influence reproduction in urban-dwelling wildlife and suggests that nestling birds could serve as useful bioindicators of lead levels in urban neighborhoods.</p>
No impact of cyantraniliprole on the hibernation success of bumble bees (Bombus terrestris audax) in a soil-mediated laboratory exposure study
<p>Dataset associated with the paper: "no evidence that soil-mediated exposure to cyantraniliprole alters the overwintering success of bumblebees (<em>Bombus terrestris</em> ssp. <em>audax</em>)"</p>
Dataset for "Extraction of stratigraphic exposures on visible images using a supervised machine learning technique"
<p>This is the dataset used in a research paper "Extraction of stratigraphic exposures on visible images using a supervised machine learning technique".</p> <p>The content is</p> <ul> <li>Augmented images used in the U-Net training (aug_images.zip) <ul> <li>train/*.png: augmented original images (14,219 files)</li> <li>train_masks/*.png: augmented hand-masked images (14,219 files).</li> </ul> </li> </ul> <p>Note that original images include images obtained using <em>google-image-download</em>, a Python script published on GitHub (<a href="https://github.com/Joeclinton1/google-images-download/tree/patch-1">https://github.com/Joeclinton1/google-images-download/tree/patch-1</a>, Copyright © 2015-2019 Hardik Vasa). The whole images we obtained by <em>google-image-download</em> were labeled as noncommercial reuse with modification.</p> <p>For more details, please refer to a research paper "Extraction of stratigraphic exposures on visible images using a supervised machine learning technique".</p> <p>Correspondence: Rina Noguchi (r-noguchi@env.sc.niigata-u.ac.jp)</p>
Comparative modelling study of exposure to respiratory aerosols in an office, meeting room, commuter train, and lunch room
<p>The data set contains all input and output files from a comparative study on indoor transmission of infectious diseases. The study comprises</p> <p>- 4 indoor environments: Public transport (commuter train), shared office, meeting room, lunch room; for each of those</p> <p>- 3 breathing manoeuvres: tidal breathing, speaking, coughing; for each of those</p> <p>- 2 emission scenarios: mean emissions, maximum emissions; and for each indoor setting</p> <p>- 2 ventilation scenarios: poor ventilation, high ventilation rate.</p> <p>The simulations were performed with the computational fluid dynamics program FDS. A full description of all input and output data will be published shortly.</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.