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Snow phenology extraction, trend analysis, and M–K test for Tibetan plateau
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Trends in authorship demographics for manuscripts published in Endocrine journals: A 70-year analysis
<p><em><span>Background</span> </em></p> <p><span>Over the previous few decades, demographics, gender, and the amount of papers published have all changed considerably. One of the fields of medicine that has yet to be extensively investigated is endocrinology.</span> </p> <p><em><span>Material and Methods</span> </em></p> <p><span>Journal of Endocrinology and General & Comparative Endocrinology are two landmark journals that publish articles from around the world. We examined each decade during the 70-year period from 1961 to 2021. Funding source, first author – last author gender, their demographics and proportion of papers with at least one female author were the parameters considered while studying each publication. We predicted that the number of female authors per paper would increase with time, as would the range of degrees held by the authors, demographical variations in authorship, and the funding source. Our goal was also to determine the distribution of female first authors and senior authors in endocrinology journals over a 70-year period, as well as to check the gender combinations using the Punnett square. </span> </p> <p><em><span>Results</span> </em></p> <p><span>Female initial authors rose from 7% to 29.6% (p<0.0006) between 1961 and 2021, whereas female senior authors rose from 15.6% to 22.2%. Despite women's small contributions to first and senior authors, female participation rose from 17.48% (25/143) to 70% (170/250) between 1961 and 2021. Male-Female and Female-Male combinations rose with Chi-Square = 124.6, (p<0.0001). Europe and the Americas had the most female academic medical contributors (p<0.0001) Regardless of author status, female participation rose from 17.48% in 1961 to 68% in 2021.</span> </p> <p><em><span>Conclusion </span> </em></p> <p><span>In papers published in endocrinology journals, there was a rising trend in female contributions to academic medicine. Even with the large growth of female endocrinologists, there is still a disparity in why the increase in female authors is comparably fewer.</span> </p>
Figure 4 in Trapping Records of Fruit Fly Pest Species (Diptera: Tephritidae) on Oahu (Hawaiian Islands): Analysis of Spatial Population Trends
Figure 4. Mean captures per trap per day of C. capitata in trimedlure traps (2006–2008) at each trapping site on Oahu.
Figure 3 in Trapping Records of Fruit Fly Pest Species (Diptera: Tephritidae) on Oahu (Hawaiian Islands): Analysis of Spatial Population Trends
Figure 3. Mean captures per trap per day of B. dorsalis in methyl eugenol traps (2006–2008) at each trapping site on Oahu.
Figure 2 in Trapping Records of Fruit Fly Pest Species (Diptera: Tephritidae) on Oahu (Hawaiian Islands): Analysis of Spatial Population Trends
Figure 2. Mean captures per trap per day of B. cucurbitae in cue-lure traps (2006–2008) at each trapping site on Oahu.
FIG. 1 in Trends in Chondrichthyan Research: An Analysis of Three Decades of Conference Abstracts
FIG. 1. The number of abstracts each year.
Figure 2 from: Caubet Y, Richard F-J (2015) NEIGHBOUR-IN: Image processing software for spatial analysis of animal grouping. In: Taiti S, Hornung E, Štrus J, Bouchon D (Eds) Trends in Terrestrial Isopod Biology. ZooKeys 515: 173–189. https://doi.org/10.3897/zookeys.515.9390
Figure 2 - Virtual configurations used for software validation. Virtual configurations used to compile the data presented in the Table 1. Part 2.8 is one of the 10 replicates obtained with a random distribution. All other configurations have been designed in order to reach the desired level of aggregation and affinity between groups. The filled and empty shapes represented two virtual groups in the population.
Figure 1 from: Caubet Y, Richard F-J (2015) NEIGHBOUR-IN: Image processing software for spatial analysis of animal grouping. In: Taiti S, Hornung E, Štrus J, Bouchon D (Eds) Trends in Terrestrial Isopod Biology. ZooKeys 515: 173–189. https://doi.org/10.3897/zookeys.515.9390
Figure 1 - Flow chart of the creation of a new NEIGHBOUR-IN file. This figure presents the different steps in the creation of a new file, from the importation of the snapshot to the calculation of the statistics of dispersion.
Figure 4 from: Caubet Y, Richard F-J (2015) NEIGHBOUR-IN: Image processing software for spatial analysis of animal grouping. In: Taiti S, Hornung E, Štrus J, Bouchon D (Eds) Trends in Terrestrial Isopod Biology. ZooKeys 515: 173–189. https://doi.org/10.3897/zookeys.515.9390
Figure 4 - Spatial distribution in woodlice. Graphic outputs of spatial distribution patterns obtained in three configurations with monospecific or bispecific populations including two groups of eight individuals: a PD-PD: The two groups are Porcellio dilatatus (red and green) b PD-PS: Porcellio dilatatus (red) and Porcellio scaber (green) c PD-AV: Porcellio dilatatus (red) and Armadillidium vulgare (green). The outputs show 64 cells. Each cell is represented with a colour corresponding to the individual(s) in that cell. The colour is mixed using green and red proportional to the number of green and red individuals. If the cell is empty, the colour is black. The intensity of the colour reflects the number of individuals. The position of the individual is determined by its point G (centre-point).
Figure 3 from: Caubet Y, Richard F-J (2015) NEIGHBOUR-IN: Image processing software for spatial analysis of animal grouping. In: Taiti S, Hornung E, Štrus J, Bouchon D (Eds) Trends in Terrestrial Isopod Biology. ZooKeys 515: 173–189. https://doi.org/10.3897/zookeys.515.9390
Figure 3 - Aggregation heterogeneity in woodlice. Aggregation patterns of two groups of woodlice illustrating the Aggregation Heterogenity Index (AHI) and the Spatial Mixed Index (SMI). PD: Porcellio dilatatus, PS: Porcellio scaber, CC: Cylisticus convexus. Values of indexes: PD-PD: AHI=0.93 & SMI=0.80; PD-PS: AHI=0.67 & SMI=0.60; PD-CC: AHI=0.63 & SMI=0.33.
Supplementary material 2 from: Reyes-Puig C, Mancero E (2022) Beyond the species name: an analysis of publication trends and biases in taxonomic descriptions of rainfrogs (Amphibia, Strabomantidae, Pristimantis). ZooKeys 1134: 73-100. https://doi.org/10.3897/zookeys.1134.91348
Complete translation of the manuscript
Supplementary material 1 from: Reyes-Puig C, Mancero E (2022) Beyond the species name: an analysis of publication trends and biases in taxonomic descriptions of rainfrogs (Amphibia, Strabomantidae, Pristimantis). ZooKeys 1134: 73-100. https://doi.org/10.3897/zookeys.1134.91348
Complete database of Pristimantis descriptions
Input data and analysis codes for "Reversal of trends in global fine particulate matter air pollution"
<p>This dataset contains Input data and analysis codes used for the following article:</p> <p>Li, C., A. van Donkelaar, M. S. Hammer, E. E. McDuffie, R. T. Burnett, J. V. Spadaro, D. Chatterjee, A. J. Cohen, J. S. Apte, V. A. Southerland, S. C. Anenberg, M. Brauer, & R. V. Martin, Reversal of trends in global fine particulate matter air pollution, submitted, 2023.</p> <p> </p> <p><strong>Input Data</strong></p> <p>Baseline mortality data (204 countries and territories, 17 age groups, 6 diseases, 22 years)</p> <p>Concentration-response functions (GEMM and MRBRT)</p> <p>PM<sub>2.5</sub> exposure for 204 territories and 22 years</p> <p>Age-specific population for 204 territories and 22 years</p> <p> </p> <p><strong>Derived Data</strong></p> <p>Age- and disease-specific PM<sub>2.5</sub>-attributable Mortality estimates for 204 territories and 22 years.</p> <p>Sensitivity of PM<sub>2.5</sub>-attributable Mortality to marginal PM<sub>2.5</sub> reduction for 204 territories and 22 years.</p> <p>Attributable of changes in PM<sub>2.5</sub>-attributable Mortality (and its sensitivity to marginal PM<sub>2.5</sub> reduction) to four driving factors.</p> <p> </p> <p><strong>Code</strong></p> <p>Necessary python scripts to verify and replicate analysis results in the manuscript.</p>
Trend of Code Analysis Tools 2004 -2023
<p>Dataset for comparison of trends of code analysis tools from 2004 to 2023.</p>
Trends in authorship demographics for manuscripts published in Endocrine journals: A 70-year analysis
Open the record for dataset details and reuse information.
Large-scale analysis of longitudinal skin gene expression in systemic sclerosis reveals relationships of immune cell and fibroblast activity with skin thickness and a trend towards normalization over
GEO Series GSE181549. Homo sapiens. 339 samples. Type: Expression profiling by array.
Data from: Trends in malaria in Odisha, India—an analysis of the 2003-2013 time-series data from the National Vector Borne Disease Control Program
Background: Although Odisha is the largest contributor to the malaria burden in India, no systematic study has examined its malaria trends. Hence, the spatio-temporal trends in malaria in Odisha were assessed against the backdrop of the various anti-malaria strategies implemented in the state. Methods: Using the district-wise malaria incidence and blood examination data (2003-2013) from the National Vector Borne Disease Control Program, blood examination-adjusted time-trends in malaria incidence were estimated and predicted for 2003-2013 and 2014-2016, respectively. An interrupted time series analysis using segmented regression was conducted to compare the disease trends between the pre (2003-2007) and post-intensification (2009-2013) periods. Key-informant interviews of state stakeholders were used to collect the information on the various anti-malaria strategies adopted in the state. Results: The state annual malaria incidence declined from 10.82/1000 to 5.28/1000 during 2003-2013 (adjusted annual decline: -0.54/1000, 95% CI: -0.78 to -0.30). However, the annual blood examination rate remained almost unchanged from 11.25% to 11.77%. The key-informants revealed that intensification of anti-malaria activities in 2008 led to a more rapid decline in malaria incidence during 2009-2013 as compared to that in 2003-2007 [adjusted decline: -0.83 (-1.30 to -0.37) and -0.27 (-0.41 to -0.13), respectively]. There was a significant difference in the two temporal slopes, i.e., -0.054 (-0.10 to -0.002, p=0.04) per 1000 population per month, between these two periods, indicating almost a 200% greater decline in the post-intensification period. Although, the seven southern high-burden districts registered the highest decline, they continued to remain in that zone, thereby, making the achievement of malaria elimination (incidence <1/1000) unlikely by 2017. Conclusion: The anti-malaria strategies in Odisha, especially their intensification since 2008, have helped improve its malaria situation in recent years. These successful measures need to be sustained and perhaps intensified further for eliminating malaria from Odisha.
Figure 1 in Trapping Records of Fruit Fly Pest Species (Diptera: Tephritidae) on Oahu (Hawaiian Islands): Analysis of Spatial Population Trends
Figure 1. Map of trapping sites on Oahu (2006–2008), with habitat at each site.
Data from: Effectiveness of government anti-smoking policy on nonsmoking youth in Korea: a four-year trend analysis of national survey data
Objectives: Since the Health Promotion Act was introduced in Korea in 1995, anti-smoking policies and regulations have undergone numerous revisions, and non-smoking areas have gradually been expanded. The purpose of this study was to examine the impact of a partial legislative ban on adolescent exposure to secondhand smoke using objective urinary cotinine levels in a nationwide representative sample. Methods: Urine cotinine levels were measured in the Korea National Health and Nutrition Examination Survey from 2008 to 2011. This study was a trend analysis of 4 years of national survey data from 2197 Korean youth aged 10–18 years. Among non-smokers, the 75th percentile urinary cotinine level was estimated. We also considered the number of household smokers. Results: The 75th percentile urine cotinine level of non-smokers showed a significant decreasing trend from 2008 to 2011, from 15.47 to 5.37 ng/mL, respectively. Urine cotinine did not decline significantly in non-smokers living with smokers during the study period. The results did not show a statistically significant reduction in smoking rate in adolescents from 2008 to 2011, although there was a trend towards a decrease (p=0.081). Conclusions: Based on urine cotinine levels, government-initiated anti-smoking policies have only been effective among highly exposed non-smoking adolescents during the study period. Further study needs to evaluate whether or not the legislative ban affects domestic smoking exposure.
Staphylococcus Haemolyticus in the Neonatal Intensive Care Unit of CHSD in 2023: Analysis and Trends
ClinicalTrials.gov study NCT07013864. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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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)
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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.