Applications for the SOSF Small Grant are open!
We call on early-career scientists with projects focused on sharks, rays, skates, sawfishes & chimaeras to apply.
This grant is designed to fund short-term projects (12-18 months) & small projects (average US$5,000).
To apply: grants.saveourseas.com
14.05.2025 12:14 โ ๐ 11 ๐ 5 ๐ฌ 0 ๐ 1
A portrait of Kendra Chan standing on the coast, laughing as the wind blows her hair.
We are THISCLOSE to funding the Kendra Chan Bodega Marine Lab challenge, which funds life-changing research experiences for undergraduate students, no matter their financial situation, and honors Kendra's memory. Just 8 more gifts of any size before 5pm today will unlock $15,000: buff.ly/sVGlS6a
12.04.2025 22:28 โ ๐ 5 ๐ 6 ๐ฌ 1 ๐ 1
One of life's little pleasures!
25.03.2025 21:14 โ ๐ 0 ๐ 0 ๐ฌ 0 ๐ 0
Wait Charlie is an author on both papers. How does that work?๐ I think we need him to pick a side...
06.03.2025 22:40 โ ๐ 1 ๐ 1 ๐ฌ 2 ๐ 0
And the question should determine the method you are using! Whenever a student asks for analytical advice my first prompt is "what is your question?" Otherwise I cannot assess if your method are appropriate! from our SFU E2O statsbeerz days
18.12.2024 19:06 โ ๐ 1 ๐ 0 ๐ฌ 0 ๐ 0
This is a fantastic paper and has one of the best closing paragraphs of all time!
13.12.2024 15:52 โ ๐ 9 ๐ 3 ๐ฌ 1 ๐ 1
Scalloped hammerhead sharks (Sphyrna lewini) IUCN Critically Endangered ยฉ Masayuki Agawa_Ocean Image Bank
New #GlobalSharkTrends study published in @science.org reveals #overfishing has more than halved shark & ray populations over the past 50-years causing widespread erosion of ecological function and exceptionally high extinction risk
๐Full article bit.ly/GlobalSharkTrends
๐งต1/20
05.12.2024 22:04 โ ๐ 187 ๐ 126 ๐ฌ 4 ๐ 13
Improper data practices erode the quality of global ecological databases and impede the progress of ecological research
The scientific community has entered an era of big data. However, with big data comes big responsibilities, and best practices for how data are contributed to databases have not kept pace with the collection, aggregation, and analysis of big data. Here, we rigorously assess the quantity of data for specific leaf area (SLA) available within the largest and most frequently used global plant trait database, the TRY Plant Trait Database, exploring how much of the data were applicable (i.e., original, representative, logical, and comparable) and traceable (i.e., published, cited, and consistent). Over three-quarters of the SLA data in TRY either lacked applicability or traceability, leaving only 22.9% of the original data usable compared with the 64.9% typically deemed usable by standard data cleaning protocols. The remaining usable data differed markedly from the original for many species, which led to altered interpretation of ecological analyses. Though the data we consider here make up only 4.5% of SLA data within TRY, similar issues of applicability and traceability likely apply to SLA data for other species as well as other commonly measured, uploaded, and downloaded plant traits. We end with suggested steps forward for global ecological databases, including suggestions for both uploaders to and curators of databases with the hope that, through addressing the issues raised here, we can increase data quality and integrity within the ecological community.
1/ Important read for anyone using, contributing, or building large databases by aggregating data sources. Discusses issues with data quality, duplication, credit attribution, etc, and includes recommendations for improvement
doi.org/10.1111/gcb.... #ecopubs
29.11.2024 11:01 โ ๐ 99 ๐ 39 ๐ฌ 4 ๐ 4