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2,532 results for “at present”
ChinaHighPM₁: Daily Seamless 1 km Ground-Level PM₁ Dataset for China (2000–Present)
<p>ChinaHighPM<sub>1</sub> is part of a series of long-term, seamless, high-resolution, and high-quality datasets of air pollutants for China (i.e., ChinaHighAirPollutants, CHAP). It is generated from big data sources (e.g., ground-based measurements, satellite remote sensing products, atmospheric reanalysis, and model simulations) using artificial intelligence, taking into account the spatiotemporal heterogeneity of air pollution.</p> <p>Here is the big data-derived seamless (spatial coverage = 100%) daily, monthly, and yearly 1 km (i.e., D1K, M1K, and Y1K) ground-level PM<sub>1</sub> dataset for China <strong>from 2000 to the present</strong>. This dataset exhibits high quality, with a cross-validation coefficient of determination (CV-R<sup>2</sup>) of 0.83, a root-mean-square error (RMSE) of 9.50 µg m<sup>-3</sup>, and a mean absolute error (MAE) of 6.17 µg m<sup>-3</sup> on a daily basis.</p> <p>If you use the ChinaHighPM<sub>1</sub> dataset in your scientific research, please cite the following reference (Wei et al., EST, 2019):</p> <ul> <li> <p>Wei, J., Li, Z., Guo, J., Sun, L., Huang, W., Xue, W., Fan, T., and Cribb, M. <a href="https://weijing-rs.github.io/publications/Wei_et_al-EST-2019.pdf">Satellite-derived 1-km-resolution PM<sub>1</sub> concentrations from 2014 to 2018 across China</a>. <em>Environmental Science & Technology</em>, 2019, 53(22), 13265–13274. https://doi.org/10.1021/acs.est.9b03258</p> </li> </ul> <p><strong>More CHAP datasets for different air pollutants are available at: <a href="https://weijing-rs.github.io/product.html">https://weijing-rs.github.io/product.html</a></strong></p>
Narratives on the present and the future in the time of Covid-19 pandemic: Uncertainty, subjective feeling and the role of positive anticipatory states.
<p><strong>Narratives on the present and the future in the time of Covid-19 pandemic: Uncertainty, subjective feeling and the role of positive anticipatory states.</strong></p>
H2020 RESCUER Radar Sensing tool by CONSERT-UNIWA presented on National Greek Television
<p>A report by the Greek National Television (ERT) on our Radar Sensing tool for enabling the communication between First Responders using radar sensing (developed in the context of H2020 project RESCUER).</p>
Identification of microbial taxa present in Ctenocephalides felis (cat flea) reveals widespread co-infection and associations with vector phylogeny
<p><strong>Background </strong></p> <p><em>Ctenocephalides</em> <em>felis</em>, the cat flea, is the most common ectoparasite of cats and dogs worldwide. As a cause of flea allergy dermatitis and a vector for two genera of zoonotic pathogens (<em>Bartonella</em> and <em>Rickettsia</em> spp.), the effect of the <em>C</em>. felis <em>microbiome</em> on pathogen transmission and vector survival is of substantial medical importance to both human and veterinary medicine. The aim of this study was to assay the pathogenic and commensal eubacterial microbial communities of individual <em>C</em>. <em>felis</em> from multiple geographic locations and analyze these findings by location, qPCR pathogen prevalence, and flea genetic diversity.</p> <p><strong>Methods </strong></p> <p>16S Next Generation Sequencing (NGS) was utilized to sequence the microbiome of fleas collected from free-roaming cats, and the <em>cox1</em> gene was used for flea phylogenetic analysis. NGS data were analyzed for 168 individual fleas from seven locations within the US and UK. Given inconsistency in the genera historically reported to constitute the <em>C</em>. <em>felis</em> microbiome, we utilized the decontam prevalence method followed by literature review to separate contaminants from true microbiome members.</p> <p><strong> Results </strong></p> <p>NGS identified a single dominant and cosmopolitan amplicon sequence variant (ASV) from <em>Rickettsia</em> and <em>Wolbachia</em> while identifying one dominant <em>Bartonella</em> <em>clarridgeiae</em> and one dominant <em>Bartonella henselae/Bartonella</em> <em>koehlerae</em> ASV. Multiple less common ASVs from these genera were detected within restricted geographical ranges. Co-detection of two or more genera (<em>Bartonella</em>, <em>Rickettsia</em>, and/or <em>Wolbachia</em>) or multiple ASVs from a single genus in a single flea was common. <em>Achromobacter</em>, <em>Peptoniphilus</em>, and <em>Rhodococcus</em> were identified as additional candidate members of the <em>C</em>. <em>felis</em> microbiome on the basis of decontam analysis and literature review. <em>Ctenocephalides</em> <em>felis</em> phylogenetic diversity as assessed by the <em>cox1</em> gene fell within currently characterized clades while identifying seven novel haplotypes. NGS sensitivity and specificity for <em>Bartonella</em> and <em>Rickettsia</em> spp. DNA detection was compared to targeted qPCR.</p> <p><strong>Conclusions </strong></p> <p>Our findings confirm the widespread coinfection of fleas with multiple bacterial genera and strains, proposing three additional microbiome members. The presence of minor <em>Bartonella</em>, <em>Rickettsia</em>, and <em>Wolbachia</em> ASVs was found to vary by location and flea haplotype. These findings have important implications for flea-borne pathogen transmission and control. </p>
DATASET RELATED TO ARTICLE"SORL1 GENE MUTATION AND OCTAPEPTIDE REPEAT INSERTION IN PRNP GENE IN A CASE PRESENTING WITH RAPIDLY PROGRESSIVE DEMENTIA AND CEREBRAL AMYLOID ANGIOPATHY"
<p><strong>electropherogram of prnp octarepeat region</strong></p> <p><strong>ngs analysis of causal and risk genes associated to dementia</strong></p> <p><strong>prnp octarepeat region analysis by size discrimination of pcr amplicons</strong></p>
Supplemental material for the paper "Genotype-phenotype correlation, clinical presentation, and feminizing surgery in children with congenital adrenal hyperplasia - a nationwide study"
<p>This dataset provides documentation for the translation between historical nomenclature for variants in the CYP21A2 gene to the Human genome variation society nomenclature. </p> <p>Furthermore, it provides data on all Danish CYP21A2 variants included in the study and the translation into genotype groups: Null, A, B, C, and D. </p>
The relationship between the present-day seasonal cycles of low clouds in the mid-latitudes and cloud-radiative feedback
<p>Supporting data for "The relationship between the present-day seasonal cycles of low clouds in the mid-latitudes and cloud-radiative feedback", by K. Furtado, Y. Tsushima and P. R. Field.</p>
Sol-Rec 2 Video Clip presentation
<p>For popularization and dissemination purposes this video clip summarises the Sol-Rec 2 project objectives for general audience</p>
Codes for ''The lithospheric loading model for large impact basin where mantle plug presents''
<p>This dataset contains the fortran codes and shell script used to generate data and figure for the article titled with "<strong>The lithospheric loading model for large impact basin where mantle plug presents</strong>".</p> <p>GMT and SHTOOLS is required for the operation of these code.</p> <p>The source code named LocalizedAdmitCorrV4.f95 is modified from the SHTOOLS example: LocalizedAdmitCorr.f95 written by Mark Wieczorek (April, 2005).</p> <p> </p>
Pre-industrial, present and future atmospheric soluble iron deposition and the role of aerosol acidity and oxalate under CMIP6 emissions: DATASET
<p>This dataset provides output fields that were used in the research article titled "Pre-industrial, present and future atmospheric soluble iron deposition and the role of aerosol acidity and oxalate under CMIP6 emissions." The data includes the following fields presented as yearly means:</p> <ul> <li>Soluble Iron emissions (SFe_emi) in Tg/yr</li> <li>Total Iron emissions (TFe_emi) in Tg/yr</li> <li>Soluble Iron deposition (SFe_dep) (both wet and dry) in Tg/yr</li> <li>Total Iron deposition (TFe_dep) (both wet and dry) in Tg/yr</li> </ul> <p>The data covers the following periods:</p> <ul> <li>Pre-industrial period (PI), with the year 1850</li> <li>Present-day period (PD), with the climatology from 1985 to 2014</li> <li>Three future periods based on the SSP CMIP6 scenarios (SSP126, SSP245, SSP370), with the climatology from 2070 to 2099</li> </ul> <p>An additional file containing information on the cell areas of the output grid is also included (areacell_BergasMassoetal2023.nc).</p>
The past, present, and future of ecogeographic isolation between closely related Aquilegia plants
<p>Quantifying the strength of the ecogeographic barrier is an important aspect of studies of plant speciation and a practical step to understanding the evolutionary trajectory of plants under climate change. Here, we quantified the extent of ecogeographical isolation of four closely related Aquilegia species, which radiated in the Mountains of SW China and adjacent regions and often lacked intrinsic barriers. We predicted past, present and future species potential distributions using environmental niche models, then compared them to determine the degree of overlap and ecogeographic isolation. Investigated ecogeographical isolation between species pairs, we found significant ecological differentiation in all studied species pairs except A. kansuensis and A. ecalacarata. The current strengths of ecogeographic isolation are above 0.5 in most cases. Compared with current climates, most species had an expanding range in the Last Glacial Maximum, the Mid Holocene and under four future climate scenarios. Our results suggested that ecogeographic isolation contributes to the diversification and maintenance of Aquilegia species in the Mountains of northern and SW China and would act as an essential reproductive barrier in the future.</p>
Ptatin2D : dataset for run simulations presented in the article Slab pull driven South China Sea opening implies a Mesozoic Proto South China Sea
<p>Overview of pTatin2D</p> <p>pTatin2D is a software package designed for studying long time-scale processes relevant to geodynamics. The original motivation for this development was to provide the community with an open-source toolkit capable of studying high-resolution, two-dimensional models of lithospheric deformation.</p> <p>Functionality</p> <ul> <li>mixed finite elements (Q2-P1_disc) for the Stokes problem</li> <li>material points for tracking Lagrangian state and history variables</li> <li>energy equation solved with Q1 elements + SUPG</li> <li>ALE formulations (with a variety of remeshing solutions)</li> <li>extensible rheology components (currently supports: iso-viscous, Frank-Kamenetskii, Arrhenius, power-law, von Mises, Drucker Prager)</li> <li>full support for spatio-temporal Dirichlet and non-zero Neumann boundary conditions</li> <li>coupling with landscape evolution models</li> <li>full support for Newton and Picard non-linear solvers</li> <li>massively parallel implementation</li> </ul> <p>pTatin2D leverages functionality from <a href="http://www.mcs.anl.gov/petsc">PETSc</a></p> <p>Requirements</p> <ul> <li>PETSc (only support for version 3.2)</li> </ul>
Table 2. Studies on psychiatric side effects of fluoroquinolones. The risk of bias and study quality assessed with the Effective Public Health Practice Project's Quality Assessment Tool for Quantitative Studies (QATQS) was presented as the global rating for each publication (3 – weak).
<p>Studies on psychiatric side effects of fluoroquinolones. The risk of bias and study quality assessed with the Effective Public Health Practice Project’s Quality Assessment Tool for Quantitative Studies (QATQS) was presented as the global rating for each publication (3 – weak).</p>
Data and code for publication "The stability of present-day Antarctic grounding lines - Part B"
<p>Data and code for the publication <a href="https://tc.copernicus.org/preprints/tc-2022-105/">"The stability of present-day Antarctic grounding lines – Part B: Onset of irreversible retreat of Amundsen Sea glaciers under current climate on centennial timescales cannot be excluded"</a> in The Cryosphere.</p> <p>Zip files contain data, python notebooks for analysis and PISM code. Please contact ronja.reese@northumbria.ac.uk if you have any further questions.</p>
Most global gauging stations present biased estimations of total catchment discharge
<p>This dataset includes the data generated for the main figures, the codes of the Mabcd model used to simulate catchment hydrological processes in this study, and the neural network model (NN2) trained to evaluate the Budyko parameter ω.</p>
Gap-free 1km PM2.5 dataset in China (2000-present)
<p>This is the monthly PM2.5 estimates across China from 2000 to 2022. If you want daily dataset, please go to <a href="https://zenodo.org/record/7229348">10.5281/zenodo.7229348</a>. More datasets can be found on the right navigation panel of <a href="https://zenodo.org/record/4569557">10.5281/zenodo.4569557</a>. </p> <p><strong>We also estimate other atmospheric data:</strong></p> <p>For full-coverage, 1-km, AOD data in China, please go to <a href="https://dataverse.harvard.edu/dataverse/atmospheric_data_by_WHUT">harvard dataverse</a>. This dataset was imputed based on MODIS MAIAC 1-km AOD retrievals.</p> <p>We have estimated full-coverage, daily 1-km PM2.5 data from 2000 to 2020 in China using a random forest-based hindcast modeling method. <strong>Our modeling method focused on improving pre-2013 PM2.5 estimates because for those years no available PM2.5 measurements can be directly used for constructing the model and evaluating the model performance. </strong>In our proposed method, observed predictor information before 2013 was incoporated into the modeling for the first time. Multiple sources were used as inputs, including MAIAC AOD, meteorological data from CMA, reanalysis data from ERA-5, and other land-related data. The monthly average data during 2000-2022 are released here in CSV format (if you want GEOTIFF files, please go to <a href="https://zenodo.org/record/8347128">10.5281/zenodo.8347128</a>) and free for non-commercial use. <em><strong>If you want use our dataset, please cite the following publication. </strong></em></p> <p>The estimates in 2021-2022 are separately predicted using the same modeling method developed in the publication below and samples in the corresponding predictive year (sample-based 10-fold cross validation R2 [RMSE] values are 0.91 [8.84 ug/m3] for 2021 and 0.93 [7.42 ug/m3] for 2022, respectively. </p> <p><strong>-He, Q., Ye, T., Wang, W., Luo, M., Song, Y., & Zhang, M. (2023). Spatiotemporally continuous estimates of daily 1-km PM2. 5 concentrations and their long-term exposure in China from 2000 to 2020. <em>Journal of Environmental Management</em>, <em>342</em>, 118145.[<a href="https://doi.org/10.1016/j.jenvman.2023.118145">url</a>]</strong></p> <p><strong>-He, Q., Wang, W., Song, Y., Zhang, M., & Huang, B. (2023). Spatiotemporal high-resolution imputation modeling of aerosol optical depth for investigating its full-coverage variation in China from 2003 to 2020. <em>Atmospheric Research</em>, <em>281</em>, 106481.[<a href="https://doi.org/10.1016/j.atmosres.2022.106481">url</a>]</strong></p> <p> </p> <p> </p>
The growth of ring current/SYM-H under northward IMF Bz conditions present during the 21-22 January 2005 geomagnetic storm
<p>Database for "The growth of ring current/SYM-H under northward IMF $B_z$ conditions present during the 21-22 January 2005 geomagnetic storm". This collection of the Solar wind, Interplanetary magnetic field, and other satellite data are used in the study to determine the causes of the sustained peak of the ring current indices under unfavorable conditions. The paper is submitted to the Space Weather Paper ( MS# 2023SW003489).</p>
Lightning-Talks: PhD Presentations DHCH2023
<p>This recording took place during the DHCH2023 event in Rome on June 5-7 in 2023.</p> <p>This event focuses on data science in the arts and the humanities. Flagship projects about text recognition, accessibility and digital sustainability of cultural heritage will be presented, and state-of-the-art methods in regard to 3D digitization will be introduced. The inalienable benefits of this research are explored, and the potential of these interventions is examined. And what about common criticism? </p> <p>The DHCH initiative provides a network to discuss the rich aspects of Digital Humanities, open up the perspective to the wide horizon of digital practices and support digital humanities approaches in arts, humanities and cultural heritage. The interdisciplinary digital humanities event DHCH@ISR brings together international experts, doctoral students, advanced researchers, and cultural heritage institutions. (<a href="http://dh-ch.ch">www.dh-ch.ch</a>)</p>
LES data presented in "The role of passive cloud volumes in the transition from shallow to deep atmospheric convection"
<p>This repository contains the LES data presented in the manuscript entitled "The role of passive cloud volumes in the transition from shallow to deep atmospheric convection" by C.V. Vraciu, I.L. Kruse, J.O. Haerter, submitted to the Geophysical Research Letters.</p>
TC25/Chicago_COMPASS: Present-day heat-related estimates for Chicago community areas [COMPASS-GLM]
<p>Chicago_COMPASS</p> <p>Community area summaries for Chicago and related scripts. Specifics below:</p> <p>Data</p> <p>Each CSV file provides summaries for 77 community areas in Chicago from WRF simulations, satellites, and socioeconomic surveys.</p> <p>The spatial polygons for the community areas and the socioeconomic data were accessed through the Chicago Data Portal: <a href="https://data.cityofchicago.org/">https://data.cityofchicago.org/</a></p> <p>The WRF code is open source and can be found at: <a href="https://github.com/wrf-model/WRF">https://github.com/wrf-model/WRF</a></p> <p>Chicago_control, Chicago_no_urb, and Chicago_no_lake have the maximum and minimum average variables of interest for the control, no urban, and no lake simulations. These are for the BEM/BEP runs with the YSU boundary layer scheme and are used for the main results of the paper.</p> <p>The WRF_BEM_MYJ files are for the BEM/BEP control runs with the MYJ boundary layer scheme. The WRF_Noah files are the control runs using just the Unified Noah land surface model (no urban canopy). The WRF_nested file is for a control run using 3-way nested domains, with the inner domain over Chicago at 1.333 km using BEM/BEP and the YSU boundary layer scheme.</p> <p>Chicago_perc_control, Chicago_perc_no_urb, and Chicago_perc_no_lake have the 95th and 98th percentiles of hourly variables of interest for the control, no urban, and no lake simulations.</p> <p>Chicago_MODIStime_control has the daytime and nighttime variables of interest (corresponding to MODIS Aqua overpass) for the control simulations.</p> <p>en01, en02, en03, and so on represent the ensembles for each model configuration.</p> <p>Chicago_geo_socioeconomic includes the socioeconomic variables (median income per capita and Hardship Index), spatial metrics (area and distance from the coast), and satellite-derived estimates (daytime and nighttime land surface temperature (LST), and normalized different vegetation index (NDVI).</p> <p>Scripts</p> <p>WRF_to_tabular.R converts the WRF simulations into tabular data to be injested into Google Earth Engine.<br> Rasterize.js converts the tabular WRF results into a raster with separate bands for each variable on Google Earth Engine.<br> Summarize.js processeses satellite observations and summarizes the satellite and WRF outputs into regions of interest on Google Earth Engine.</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.