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1,291 results for “gap”
Gender Gaps in Scientific Research: A Systematic Review
<p><strong>Background: </strong>The gender gaps present in the field of scientific and academic research generate discrimination and lack of equal opportunities for women, resulting in several barriers that significantly limit women's scientific productivity. The objective was to identify the main gender gaps in productivity and scientific research.</p> <p><strong>Method: </strong>The researchers conducted a systematic search for articles on gender disparities in women's scientific production in the SCOPUS and REDALYC repositories, taking into account manuscripts in English, Spanish and Portuguese. Articles on gender gaps in scientific production were included, while empirical studies with other approaches to gender discrimination were excluded. Studies that did not address gender differences in scientific research, those that focused only on specific scientific disciplines without taking gender into account, and those that were not available in their entirety were excluded. The search and selection were conducted from May and June 2023. To avoid stumbling blocks, other methods were used, such as initially filtering titles based on a search equation and then excluding those that did not address gender differences in scientific research. Next, manuscripts were reviewed and those that did not meet the inclusion criteria were excluded. Finally, the remaining research was thoroughly reviewed to obtain the information needed for the study.</p> <p><strong>Results: </strong>A total of 23 articles were analyzed, addressing various issues such as discrimination, lack of policies to support women, academic inequalities and other factors that make female participation more difficult.</p> <p><strong>Conclusion: </strong>The main findings revealed gender gaps that have an impact on worldwide female scientific production. The literature frequently focuses on low output without investigating the causes. When they approach, they just treat the surface. Future research should focus on gender disparities in production, as well as the daily challenges women face in research and scientific production.</p>
Gap-free 1-km 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 GEOTIFF format (if you want CSV files, please go to <a href="https://zenodo.org/record/8084388">10.5281/zenodo.8084388</a>) and free for non-commercial use. <i><strong>If you want use our dataset, please cite the following publication. </strong></i></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. </strong><i><strong>Journal of Environmental Management</strong></i><strong>, </strong><i><strong>342</strong></i><strong>, 118145.[</strong><a href="https://doi.org/10.1016/j.jenvman.2023.118145"><strong>url</strong></a><strong>]</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. </strong><i><strong>Atmospheric Research</strong></i><strong>, </strong><i><strong>281</strong></i><strong>, 106481.[</strong><a href="https://doi.org/10.1016/j.atmosres.2022.106481"><strong>url</strong></a><strong>]</strong></p><p> </p><p>If you want other atmospheric data, e.g., CO2 dataset, please go to <a href="https://zenodo.org/records/10022905">10.5281/zenodo.10022904.</a></p>
Theory and optimisation of radiative recombination in broken-gap InAs/GaSb superlattices
<p>Raw data and plotting scripts associated with the paper:<br><br>Cónal Murphy, Eoin P. O'Reilly and Christopher A. Broderick, "Theory and optimisation of radiative recombination in broken-gap InAs/GaSb superlattices", <em>J. Phys. D: Appl. Phys.</em> <strong>57</strong> 035103 (2023) (DOI: 10.1088/1361-6463/ad015d)</p>
A gap in primate default mode network organization (Atlases and Script)
<p>Code deposit in Python for the article: "A gap in primate default mode network organization" published in Cell Report.</p> <p>+</p> <p>Dictionary learning-based functional atlas in four primate species (mouse lemurs, marmosets, macaques, and humans)</p> <p>BOLD images were acquired in mouse lemurs, marmosets, macaques, and humans<br> Each functional atlas was made using a dictionary learning analysis with 7 components on pre-treated BOLD images.<br> Each component was concatenated and labeled to create each atlas.<br> The atlases were broken into functional regions automatically and manually.<br> <br> For each species:<br> DL7cpts_DicL_yung.nii.gz ==> output of the dictionary learning<br> <br> dict_learning_7compos_concat.nii.gz ==> functional atlas<br> <br> dict_learning_7compos_concat_break.nii.gz ==> functional atlas segmented automatically into functional regions<br> or<br> dict_learning_7compos_concat_break_handseg.nii.gz ==> functional atlas segmented automatically and manually into functional regions</p> <p>if used for publication please cite: </p> <p><strong>An evolutionary gap in primate default mode network organization</strong><br> <strong>Clement M Garin</strong>, Yuki Hori, Stefan Everling, Christopher T Whitlow, Finnegan Calabro, Beatriz Luna, Mathilda Froesel, Maëva Gacoin, Suliann Ben Hamed, Marc Dhenain, Christos Constantinidis</p> <p>Apr 2022<br> <strong>Cell Report</strong> 39, 2, 110669<br> DOI: <a href="https://doi.org/10.1016/j.celrep.2022.110669">10.1016/j.celrep.2022.110669</a></p>
Data for "Global observation gaps of peatland greenhouse gas balances: needs and obstacles"
<p>Data from literature review for the study "Global observation gaps of peatland greenhouse gas balances: needs and obstacles"</p>
Mind the Gap: Comparing Exploration Effort with Global Biodiversity Patterns and Climate Projections to Determine Ocean Areas with Greatest Exploration Needs- Dive metadata
<p>Meta data for deep submergence dive locations associated with "Mind the Gap: Comparing Exploration Effort with Global Biodiversity Patterns and Climate Projections to Determine Ocean Areas with Greatest Exploration Needs" published in Frontier of Marine Science 2023. </p>
Effects of a Patient Portal Intervention to Address Diabetes Care Gaps
ClinicalTrials.gov study NCT04894903. IPD Sharing: YES. Countries: 1. Publications: 1.
Bridging the Evidence-to-practice Gap
ClinicalTrials.gov study NCT03713515. IPD Sharing: YES. Countries: 1. Publications: 5.
Patient-Specific Guides for Gap Pediatric Arthroplasty
ClinicalTrials.gov study NCT07320911. IPD Sharing: NO. Countries: 1. Publications: 0.
Performance Evaluation of FullCeram Implants in Single Tooth Gaps
ClinicalTrials.gov study NCT02163395. IPD Sharing: NO. Countries: 1. Publications: 1.
Using Mobile Technology to Address the Trauma Mental Health Treatment Gap
ClinicalTrials.gov study NCT05374408. IPD Sharing: NO. Countries: 1. Publications: 3.
Coordinated Healthcare Interventions for Childhood Asthma Gaps in Outcomes
ClinicalTrials.gov study NCT02319967. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Bridging the Docosahexaenoic Acid (DHA) Gap: The Effects of Omega-3 Fatty Acid Supplementation in Premature Infants
ClinicalTrials.gov study NCT01908907. IPD Sharing: NO. Countries: 1. Publications: 2.
Bridging the Childhood Epilepsy Treatment Gap in Africa
ClinicalTrials.gov study NCT04290975. IPD Sharing: YES. Countries: 1. Publications: 10.
Bridging the Gap From Postpartum to Primary Care
ClinicalTrials.gov study NCT05543265. IPD Sharing: NO. Countries: 1. Publications: 3.
Novel Application of Simulation for Providers to Overcome Decisional Gaps in High-risk Prescribing
ClinicalTrials.gov study NCT04668248. IPD Sharing: NO. Countries: 1. Publications: 2.
Phase 1/2a Trial of Pf GAP p52-/p36- Sporozoite Malaria Vaccine
ClinicalTrials.gov study NCT01024686. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Effectiveness of Subcutaneous Glargine On The Time To Closure of The Anion Gap in Patients Presenting to the Emergency Department With Diabetic Keto-acidosis
ClinicalTrials.gov study NCT02006342. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Efficient and wavelength-tunable second-harmonic generation towards the green gap
Open the record for dataset details and reuse information.
Tropical bat ectoparasitism in continuous versus fragmented forests: A gap analysis and preliminary meta-analysis
Open the record for dataset details and reuse information.
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.