Underwater imaging has long been used in the field of marine ecology but decreasing costs of high-resolution cameras and data storage have made the approach more practical than in the past. Image-based surveys allow for initial samples to be revisited and are non-invasive compared to traditional survey methods that typically involve nets or dredges. Protocols for image-based surveys can vary greatly but should be driven by target species behavior and survey objectives. To demonstrate this, we describe our most recent methods for an Atlantic sea scallop (Placopecten magellanicus) drop camera survey to provide a procedural example and representative results. The procedure is divided into three critical steps that include survey design, data collection, and data products. The influence of scallop behavior and the survey goal of providing an independent assessment of the U.S. sea scallop resource on the survey procedure are then discussed in the context of generalizing the method. Overall, the broad applicability and flexibility of the University of Massachusetts Dartmouth School for Marine Science and Technology (SMAST) drop camera survey demonstrates the method could be generalized and applied to a variety of sessile invertebrates or habitat focused research.
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http://dx.doi.org/10.3791/57493 | DOI Listing |
Technology-facilitated abuse (TFA) describes the misuse or repurposing of digital systems to harass, coerce, or abuse. It is a global problem involving both existing and emerging technologies. Despite significant work across research, policy, and practice to understand the issue, the field operates within linguistic, conceptual, and disciplinary silos, inhibiting collaboration.
View Article and Find Full Text PDFSci Data
December 2024
Departmentof Earth System Science Tsinghua University, Tsinghua University, Beijing, 100084, China.
Continuous, Accurate, and detailed information on main grain land (MGL) areas is crucial for provisioning food security and making policies affecting sustainable agricultural production. It still lacks a long-term MGL distribution dataset with fine spatial resolution. This study aimed to produce a long-term, high-resolution MGL distribution map for China.
View Article and Find Full Text PDFWomens Health (Lond)
December 2024
Psychological and Social Sciences, Pennsylvania State University, Abington College, Abington, PA, USA.
Background: Social media negatively affects body image, but few have investigated its impact on pregnancy-related body image. Pregnancy represents a vulnerable period for body image, and poor body image has negative implications for health.
Objectives: We aimed to (1) understand relations of social media and pregnancy-related body image variables, (2) examine differences in social media use and body image based on demographic characteristics, and (3) evaluate whether type of social media use (i.
Knee Surg Sports Traumatol Arthrosc
December 2024
Department of Orthopaedic Surgery, Azienda Ospedaliero-Universitaria Policlinico di Modena, University of Modena and Reggio-Emilia, Modena, Modena, Italy.
Child Abuse Negl
December 2024
Australian Institute of Health and Welfare, Canberra, Australia.
Background: Online child sexual victimization is increasingly facilitated by technology, but evidence of its prevalence and characteristics remains scarce. Reliable population-based data is critical to understand the magnitude and nature of the problem, and inform evidence-based prevention.
Objective: To determine the prevalence of nonconsensual sharing of sexual images of the child by any perpetrator, and of online sexual solicitation by any adult perpetrator; and to determine the characteristics of these experiences.
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