Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
5
datasets available to search
ShareScore release 0.9.0
Dataset results
5 results for “Capra aegagrus hircus”
Figura 1 in Primer registro de Omosita colon (Linnaeus) (Coleoptera: Nitidulidae: Nitidulinae) recolectada en cadáveres de cabrito (Capra aegagrus hircus Linnaeus) en Buenavista, Saltillo Coahuila, México
Figura 1. Omosita colon, vista dorsal (escala: 2 mm).
Data from: Controlled feeding experiments with diets of different abrasiveness reveal slow development of mesowear signal in goats (Capra aegagrus hircus)
Dental mesowear is applied as a proxy to determine the general diet of mammalian herbivores based on tooth-cusp shape and occlusal relief. Low, blunt cusps are considered typical for grazers and high, sharp cusps typical for browsers. However, how internal or external abrasives impact mesowear, and the time frame the wear signature takes to develop, still need to be explored. Four different pelleted diets of increasing abrasiveness (lucerne, grass, grass and rice husks, grass, rice husks and sand) were fed to four groups of a total of 28 adult goats in a controlled feeding experiment over a six-month period. Tooth morphology was captured by medical CT scans at the beginning and end of the experiment. These scans, as well as the crania obtained postmortem, were scored using the mesowear method. Comparisons between diet groups only showed few significant differences after six months, irrespective of whether CT scans or the real teeth were scored. Only when assessing the difference in signal between start and end did relevant, significant diet-specific effects emerge. Diets containing lower phytolith content caused a more pronounced change in mesowear towards sharper cusps/higher reliefs, while the feed containing sand did not result in more extreme changes in mesowear when compared to the same feed without sand. Our experiment suggests that the formation of a stable and hence reliable mesowear signal requires more time to develop than six months.
Data from: Controlled feeding experiments with diets of different abrasiveness reveal slow development of mesowear signal in goats (Capra aegagrus hircus)
Open the record for dataset details and reuse information.
Figura 2 in Primer registro de Omosita colon (Linnaeus) (Coleoptera: Nitidulidae: Nitidulinae) recolectada en cadáveres de cabrito (Capra aegagrus hircus Linnaeus) en Buenavista, Saltillo Coahuila, México
Figura 2. Omosita colon, vista ventral (escala: 2 mm).
Figura 3 in Primer registro de Omosita colon (Linnaeus) (Coleoptera: Nitidulidae: Nitidulinae) recolectada en cadáveres de cabrito (Capra aegagrus hircus Linnaeus) en Buenavista, Saltillo Coahuila, México
Figura 3. Genitalia femenina de Omosita colon, vista ventral (escala: 0.2 mm).
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
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.