Trauma in Pregnancy: A 5-Year Multi-Centre Retrospective Registry Analysis in South Australia.

Naturalistic auditory stimuli are widely used in experimental psychology and cognitive neuroscience to study perception, affect, attention, memory, and semantic processing under conditions that approximate everyday listening. At the same time, trial-wise behavioral and neuroimaging experiments often require stimulus materials that are short, consistently formatted, recognizable, and accompanied by sound-level annotations or ratings. These requirements allow researchers to present many trials within a fixed session, match stimuli across experimental conditions, and select subsets based on dimensions relevant to a particular study. Therefore, this Data Descriptor presents a standardized naturalistic audio stimulus dataset with participant ratings and semantic annotations. The dataset was created to provide a documented set of short auditory stimuli, psychological ratings, source information, raw participant responses, processed analysis outputs, and code for reproducing the main analyses. The stimuli were standardized to a duration of 1.5 s, and each sound was rated by participants on emotional valence, startlingness, and recognizability. The definition of auditory objects remains debated in research. Early definitions described auditory objects as coherent constructs that emerge when the brain integrates acoustic features across time and frequency (i.e., timbre, pitch, and loudness), analogous to vision, where edges and contours can be combined to form visual objects. The current consensus, however, is that auditory objects represent the perceptual units over which the auditory system organizes the acoustic world. Bizley and Cohen emphasize the hierarchical nature of auditory object definition, where low-level features combine into objects, which themselves can be organized into increasingly abstract categories, and the categories can, in turn, be nested inside more general categories. For example, a dog’s bark or a bird’s call falls under broader categories such as mammals or birds, which together belong to the general category of living things. Because auditory objects and categories are important for describing how listeners organize sounds, standardized data-driven datasets that capture these distinctions can support auditory cognition research. The dataset is situated within a broader landscape of auditory stimulus resources used in experimental, affective, and computational research. For example, the International Affective Digitized Sounds (IADS) and its expanded version (IADS-E) provide normed auditory stimuli for investigating affective responses to sound. Similarly, the Norms for Environmental Sound Stimuli (NESSTI) provides psychological norms, including cognitive and affective ratings, for 110 environmental sounds from living and man-made sources. In parallel, environmental sound datasets such as ESC-50, UrbanSound8K, AudioSet, and FSD50K have contributed substantially to research on auditory recognition, categorization, and computational sound classification. Furthermore, validated vocal and speech datasets, such as the Montreal Affective Voices (MAV) and the Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS), have provided standardized materials for research on nonverbal vocal affect, emotional speech, and emotional song. The present dataset is intended as a complementary resource that documents a set of brief naturalistic auditory stimuli together with recognizability, valence, startlingness, and participant-derived semantic annotations.