<b>When more isn’t better: Sperm competition decreases fertilization success and motile sperm in two sea urchin species</b> by Luisa Kumpitsch (20874095)

“…<p dir="ltr">Abstract of the paper "<b>When more isn’t better: Sperm competition decreases fertilization success and motile sperm in two sea urchin species":</b></p><p dir="ltr">Fertilization is a fundamental process where sperm-egg fusion is essential to maintain life of most metazoans. …”

Minimum, maximum, and mean horizontal and diagonal FID for the different species. Upper 95% confidence intervals were calculated from the mean. The minimum and maximum distances fo... by Estefania Velilla (22566709)

Boxplot comparing Ct values for HD in flies and clothes. by Philippe Ndzomo (17706039)

S1 Data. Bibliometric analysis. S2 Data. Estrogen level analysis. S3 Data. MicroCT quantification. S4 Data. Markers of bone metabolism. by Yan She (8639796)

Data Sheet 1_Impact of large-scale oceanic variability on Adriatic fisheries evidenced through the ‘mean temperature of the catch’ approach.docx by Elvis Kamberi (22759586)

“…MTC is calculated based on the preferred temperature of exploited species, weighted by their annual catch. In our study, we calculated the MTC for Adriatic Sea fishery landings over five decades (1970-2020) to evaluate the response of the local fish community to warming. …”

Comparison hourly means of wind speeds from 19 wind observation stations with ERA5 reanalysis wind data in the China’s offshore water. by Weidong Ji (129916)

Skin marks is the S1 Fig title. by Mercedes Soto-González (20422078)

K-means++ clustering algorithm. by Zhen Zhao (159931)

“…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”

This is the data set that we used to reach the conclusions drawn in the manuscript with related metadata and methods. by Farayi Kaseke (19560197)

Estimated mean values for light interception. by Torsten Schober (20485754)

Prolonged starvation leads to a delay in cell cycle re-entry and decrease in H3K27ac in Vasa2+/Piwi1+ cells. by Eudald Pascual-Carreras (12115380)

Detailed information of the observation datasets. by Weidong Ji (129916)

“…It shows the higher simulation skill in the northern region than the southern due to the influence of high-frequency typhoon in the South China Sea. 3)Distribution function parameters, mean values, variability, and wind threshold frequencies were analyzed for this ensemble of observation, providing an overall description of wind characteristics. …”

General technical specification for GW154/6700. by Weidong Ji (129916)

“…It shows the higher simulation skill in the northern region than the southern due to the influence of high-frequency typhoon in the South China Sea. 3)Distribution function parameters, mean values, variability, and wind threshold frequencies were analyzed for this ensemble of observation, providing an overall description of wind characteristics. …”

Mean changes in focal study variables. by Marina Kuzdas-Sallaberger (12291278)

“…</p><p>Methods</p><p>We conducted a longitudinal prospective observational study with a pretest-posttest design. …”

Overview of the six original ACTIV-3/TICO trials. by Elizabeth S. Munroe (21568166)

“…We pooled results from four trials of anti-spike nMAbs. …”

Mean parameter values for the selected crops. by Gourab Saha (8987405)

“…In this article, we present a complete integrated design of a smart IoT-based suitable agricultural land and crop selection, along with an irrigation system using agricultural mapping, machine learning, and fuzzy logic for precision agriculture. …”

Parameter estimates of linear mixed effects models for juvenile <i>M</i>. <i>mercenaria</i>, juvenile <i>M</i>. <i>arenaria</i> and juvenile <i>A</i>. <i>islandica</i> mean shell c... by Teagan McMahon (20108036)

Participants characteristics. by Sakiko Fukui (387048)

“…Cluster analysis classified 4 clusters of decline in food intake changes during the last 6 months before death: immediate decrease (n = 14); decrease from 1 month before death (n = 24); decrease from 3 months before death (n = 7); and gradual decrease for 6 months before death (n = 24).…”

A flow diagram of the study entry. by Sakiko Fukui (387048)

“…Cluster analysis classified 4 clusters of decline in food intake changes during the last 6 months before death: immediate decrease (n = 14); decrease from 1 month before death (n = 24); decrease from 3 months before death (n = 7); and gradual decrease for 6 months before death (n = 24).…”

Niche overlap within shelf communities. by Nathan D. McTigue (10706460)