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.
4
datasets available to search
ShareScore release 0.9.0
Dataset results
4 results for “Agricultural sciences plant”
Linked collectors and determiners for: Estonian University of Life Sciences Institute of Agricultural and Environmental Sciences Department of Plant Protection.
Natural history specimen data linked to collectors and determiners held within, "Estonian University of Life Sciences Institute of Agricultural and Environmental Sciences Department of Plant Protection". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/91afc73f-a11a-4e8b-9313-ed056697cf05">https://bionomia.net/dataset/91afc73f-a11a-4e8b-9313-ed056697cf05</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/91afc73f-a11a-4e8b-9313-ed056697cf05">https://gbif.org/dataset/91afc73f-a11a-4e8b-9313-ed056697cf05</a>. Formatted as a Frictionless Data package.
Data from: Nesting and interaction of stingless bees (Apidae: Meliponini) in herbaceous plants in the Agricultural Campus of the School of Agricultural and Veterinary Sciences of UNAN-Leon, Nicaragua
<p>En este estudio se determinó la riqueza, abundancia, densidad y distribución geográfica de nidos de abejas sin aguijón en el Campus Agropecuario de la UNAN-León, de igual manera se determinó la interacción de abejas sin aguijón en plantas en floración. Asimismo, se identificaron los sustratos de anidación, se revisaron todos los árboles e infraestructura del Campus Agropecuario y se muestrearon las arvenses y arbusto en floración entre los meses de abril a octubre del 2022. </p>
In 2017, Plantix, a free smartphone app that helps identify plant damage, was introduced to the Indian state of Andhra Pradesh, with an extension partner. Plantix was created by Progressive Environmental and Agricultural Technologies (PEAT), a German startup. Two PEAT cofounders, Charlotte Schuman (second from the right) and Alex Kennepohl (center, with eyeglasses), confer about the smartphone app with students from Angrau University. Farmers and gardeners can transmit their plant images to Plantix, which uses deep learning and computer vision to help identify diseases and pests. The smartphone app offers symptom descriptions, treatment recommendations, and potential preventive actions. Photographs: Courtesy of PEAT GmbH. in Deep learning brings speed, accuracy to the life sciences.
In 2017, Plantix, a free smartphone app that helps identify plant damage, was introduced to the Indian state of Andhra Pradesh, with an extension partner. Plantix was created by Progressive Environmental and Agricultural Technologies (PEAT), a German startup. Two PEAT cofounders, Charlotte Schuman (second from the right) and Alex Kennepohl (center, with eyeglasses), confer about the smartphone app with students from Angrau University. Farmers and gardeners can transmit their plant images to Plantix, which uses deep learning and computer vision to help identify diseases and pests. The smartphone app offers symptom descriptions, treatment recommendations, and potential preventive actions. Photographs: Courtesy of PEAT GmbH.
Linked collectors and determiners for: Estonian University of Life Sciences Institute of Agricultural and Environmental Sciences Vascular Plant Herbarium.
Natural history specimen data linked to collectors and determiners held within, "Estonian University of Life Sciences Institute of Agricultural and Environmental Sciences Vascular Plant Herbarium". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/6b5e4c2d-127f-492e-bf1c-2026d515e0de">https://bionomia.net/dataset/6b5e4c2d-127f-492e-bf1c-2026d515e0de</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/6b5e4c2d-127f-492e-bf1c-2026d515e0de">https://gbif.org/dataset/6b5e4c2d-127f-492e-bf1c-2026d515e0de</a>. Formatted as a Frictionless Data package.
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.