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.
5,510
datasets available to search
ShareScore release 0.9.0
Dataset results
5,510 results for “Foods”
Figure 6 in Seasonal analysis of food items and feeding habits of endangered riverine catfish Rita rita (Hamilton, 1822)
Figure 6. Canonical correspondence analysis of food items and morphometric measures of R. rita sampled from Padma river (TL = Total length; BW = Body weight; HG = horizontal mouth gape; VG = vertical mouth gape; MA = mouth area)
Figure 4 in Seasonal analysis of food items and feeding habits of endangered riverine catfish Rita rita (Hamilton, 1822)
Figure 4. Principle component analysis (PCA) on fish size groups and food items in R. rita sampled from Padma River (Roman numbers indicated the different size group of fish, such as I = 9-14 cm, II =>14-19 cm, III =>19-24 cm, IV =>24-29 cm and V =>29-34 cm).
Figure 2 in In vitro study of antimicrobial activity of some plant seeds against bacterial strains causing food poisoning diseases
Figure 2. MIC's of the effective plant seeds powder against S. aureus and K. pneumonia, ± standard error.
Figure 1 in New genus of the tribe Ceutorhynchini (Coleoptera: Curculionidae) from the late Oligocene of Enspel, southwestern Germany, with a remark on the role of weevils in the ancient food web
Figure 1. Igneonasus rudolphi gen. et sp. nov., holotype PE 2013/5017-LS, habitus, lateral view. Scale bar = 1.0 mm.
Figure 3 in New genus of the tribe Ceutorhynchini (Coleoptera: Curculionidae) from the late Oligocene of Enspel, southwestern Germany, with a remark on the role of weevils in the ancient food web
Figure 3. (a) Cyprinid fish Palaeorutilus enspelensis (Böhme, 1996) with digestive tract filled with weevil elytra, specimen PW 2011/5743- LS a; (b) digestive tract of counterpart specimen enlarged, PW 2011/5743-LS b; (c) coprolite made of small weevil elytra, supposedly produced by Palaeorutilus, specimen PE 2014/5144-LS.
Figure 2 in New genus of the tribe Ceutorhynchini (Coleoptera: Curculionidae) from the late Oligocene of Enspel, southwestern Germany, with a remark on the role of weevils in the ancient food web
Figure 2. Igneonasus rudolphi gen. et sp. nov., holotype PE 2013/5017-LS, contour of body, lateral view. Scale bar = 1.0 mm.
Fig. 2 in Impact of food diversity on biological parameters of Apolygus lucorum (Hemiptera: Heteroptera: Miridae)
Fig. 2. Number (± SE) of Helicoverpa armigera eggs preyed upon by Apolygus lucorum for each instar. Bars topped by different lowercase letters represent means that are statistically different among different foods (1-way ANOVA followed by Tukey test, P <0.05).
Fig. 1 in Mortality and food consumption in Spodoptera frugiperda (Lepidoptera: Noctuidae) larvae treated with spinosad alone or in mixtures with a nucleopolyhedrovirus
Fig. 1. Percentage (mean ± SE) of leaf area consumed per surviving Spodoptera frugiperda 3rd instar feeding either on untreated maize-leaf pieces or on maizeleaf pieces treated with spinosad (mg/L). Mortality was recorded at 72 h afer treatment. Different letters above the error bars indicate statistically significant differences based on the Kruskall-Wallis test (P <0.05).
Fig. 1 in The effect of food source on survival and development of Lilioceris cheni (Coleoptera: Chrysomelidae), a biological control agent of air potato (Dioscoreales: Dioscoreaceae)
Fig. 1. Percentage survival (mean ± SE) of Lilioceris cheni from 3rd instar to adult when reared on leaves, brown bulbils, or tan bulbils of air potato.
Data Report: Educational Pathway on Food and Nutrition in Amyotrophic Lateral Sclerosis on the AVASUS platform
<p><strong>Dataset name:</strong><em> nutri_als_dataset.csv </em></p> <p><strong>Version: </strong>1.0 </p> <p><strong>Dataset period:</strong> 06/01/2021 - 06/05/2024</p> <p><strong>Dataset Characteristics: </strong>Multivalued </p> <p><strong>Number of Instances: </strong>20967</p> <p><strong>Number of Attributes: </strong>9</p> <p><strong>Missing Values: </strong>Yes</p> <p><strong>Area(s): </strong>Health and education<strong> </strong></p> <p><strong>Sources: </strong></p> <ul> <li>Virtual Learning Environment of the Brazilian Health System (AVASUS) (Brasil, 2024a);</li> <li>Brazilian Occupational Classification (CBO) (Brasil, 2024b);</li> <li>National Registry of Health Establishments (CNES) (Brasil, 2024c); </li> <li>Brazilian Institute of Geography and Statistics (IBGE) (Brasil, 2024d). </li> </ul> <p><strong>Description</strong>:<strong> </strong>The “nutri_als_dataset.csv” dataset (see Table 1) originates from participants of the educational pathway on Food and Nutrition in Amyotrophic Lateral Sclerosis. The educational pathway is available on the AVASUS (Brasil, 2024a). This dataset provides elementary data to analyze the scope of the educational pathway courses and the profile of their participants.</p> <p><br><strong>Note</strong>: The content of the dataset is provided in Brazilian Portuguese (pt-br), as it originates from native speakers.</p> <p><strong>Table 1: </strong>Description of AVASUS dataset features. </p> <div> <table> <tbody> <tr> <td> <p><strong>Attributes </strong></p> </td> <td> <p><strong>Description </strong></p> </td> <td> <p><strong>Datatype </strong></p> </td> <td> <p><strong>Value</strong></p> </td> </tr> <tr> <td> <p><strong>user_id</strong></p> </td> <td> <p>Unique identifier for a person (anonymous).</p> </td> <td> <p>Categorical</p> </td> <td> <p>Person unique identifier.</p> </td> </tr> <tr> <td> <p><strong>course_enrollment</strong></p> </td> <td> <p>Course enrollment period.</p> </td> <td> <p>Datetime </p> </td> <td> <p>year-month-day.</p> </td> </tr> <tr> <td> <p><strong>course_name</strong></p> </td> <td> <p>Name in Portuguese referring to the course.</p> </td> <td> <p>Categorical</p> </td> <td> <ul> <li> <p>Alimentação por sonda na ELA;</p> </li> <li> <p>Alimentação e Nutrição na ELA;</p> </li> <li> <p>Orientações nutricionais específicas na ELA; or</p> </li> <li> <p>Modificações Dietéticas na ELA.</p> </li> </ul> </td> </tr> <tr> <td> <p><strong>certificate</strong></p> </td> <td> <p>The period in which the course participant obtained the right to a certificate.</p> </td> <td> <p>Datetime</p> </td> <td> <p>year-month-day hours, minutes, and seconds.</p> </td> </tr> <tr> <td> <p><strong>gender </strong></p> </td> <td> <p>Gender of the course participant. </p> </td> <td> <p>Categorical</p> </td> <td> <ul> <li> <p>Female;</p> </li> <li> <p>Male; or</p> </li> <li> <p>Not informed.</p> </li> </ul> </td> </tr> <tr> <td> <p><strong>region</strong></p> </td> <td> <p>Brazilian region in which the participant resides.</p> </td> <td> <p>Categorical</p> </td> <td> <ul> <li> <p>North;</p> </li> <li> <p>Northeast;</p> </li> <li> <p>Central-West;</p> </li> <li> <p>Southeast;</p> </li> <li> <p>South;</p> </li> <li> <p>Abroad; or</p> </li> <li> <p>Not reported.</p> </li> </ul> </td> </tr> <tr> <td> <p><strong>course_evaluation</strong></p> </td> <td> <p>A score given to the course by the participant. </p> </td> <td> <p>Numerical</p> </td> <td> <p>0, 1, 2, 3, 4, 5, or NaN.</p> </td> </tr> <tr> <td> <p><strong>evaluation_commentary</strong></p> </td> <td> <p>Comment made by the participant about the course.</p> </td> <td> <p>Categorical</p> </td> <td> <p>Free text or NaN.</p> </td> </tr> <tr> <td> <p><strong>CBO</strong></p> </td> <td> <p>Participant occupation.</p> </td> <td> <p>Categorical</p> </td> <td> <p>Text coded according to the Brazilian Classification of Occupations or “Indivíduo sem filiação formal.” (In English, “Individual without formal affiliation.”)</p> </td> </tr> </tbody> </table> </div> <p> </p> <p> </p> <p><strong>REFERENCES</strong></p> <p>Brasil (2024a). AVASUS - Virtual Learning Environment of the Brazilian Health System. Available from: <a href="https://avasus.ufrn.br/local/avasplugin/dashboard/transparencia.php">https://avasus.ufrn.br/local/avasplugin/dashboard/transparencia.php</a>. Accessed Jul 21, 2024.</p> <p>Brasil (2024b). CBO - classificação brasileira de ocupações. Available from: <a href="https://cbo.mte.gov.br/cbosite/pages/home.jsf">https://cbo.mte.gov.br/cbosite/pages/home.jsf</a>. Accessed Jul 21, 2024.</p> <p>Brasil (2024c). CNES - cadastro nacional de estabelecimentos de saúde. Available from: <a href="https://cnes.datasus.gov.br/">https://cnes.datasus.gov.br/</a>. Accessed Jul 21, 2024.</p> <p>Brasil (2024d). IBGE - Instituto Brasileiro de Geografia e Estatística. Estimativas da População. Available from: <a href="https://agenciadenoticias.ibge.gov.br/agencia-noticias/2012-agencia-de-noticias/noticias/39525-censo-2022-informacoes-de-populacao-e-domicilios-por-setores-censitarios-auxiliam-gestao-publica">https://agenciadenoticias.ibge.gov.br/agencia-noticias/2012-agencia-de-noticias/noticias/39525-censo-2022-informacoes-de-populacao-e-domicilios-por-setores-censitarios-auxiliam-gestao-publica</a>. Accessed Jul 21, 2024.</p> <p> </p> <p><strong>ARTICLE:</strong></p> <p>Data Report: Educational Pathway on Food and Nutrition in Amyotrophic Lateral Sclerosis on the AVASUS platform <br> </p> <p><strong>AUTHORS:</strong></p> <p>Karla M. D. Coutinho<sup>1,2</sup>, Felipe Fernandes<sup>2</sup>, Kelson C. Medeiros<sup>2,6</sup>, Karilany D. Coutinho<sup>2,4,5</sup>, Aline de Pinho Dias<sup>2,4</sup>, Ricardo A. M. Valentim<sup>2,4,5</sup>, Lúcia Leite-Lais<sup>3</sup>, Kenio Costa Lima1</p> <p> </p> <p><sup>1</sup>Postgraduate Program in Health Sciences, Federal University of Rio Grande do Norte, Natal, Brazil</p> <p><sup>2</sup>Laboratory of Technological Innovation in Health (LAIS), Federal University of Rio Grande do Norte (UFRN), Natal, Rio Grande do Norte, Brazil </p> <p><sup>3</sup>Department of Nutrition, Federal University of Rio Grande do Norte, Natal, Brazil</p> <p><sup>4</sup>Postgraduate Program in Management and Innovation in Health, Federal University of Rio Grande do Norte, Natal, Brazil</p> <p><sup>5</sup>Department of Biomedical Engineering, Federal University of Rio Grande do Norte, Natal, Brazil</p> <p><sup>6</sup>Federal Institute of Education, Science and Technology of Rio Grande do Norte, Natal, Brazil</p> <p> </p> <p> </p>
Рис. 5. Контактно-пищевая позывка «мяуканье» (1) и пищевое «шипение» (2) птенцов: a — I. eurythmus; b — I. sinensis; c — гибриΑных птиц Fig. 5. Contact-food "meow" call (1) and food "hissing" (2) of nestlings: a — I. eurythmus; b — I. sinensis; c — hybrid birds in Call repertoire of Bitterns Ixobrychus in Russian Far East
Рис. 5. Контактно-пищевая позывка «мяуканье» (1) и пищевое «шипение» (2) птенцов: a — I. eurythmus; b — I. sinensis; c — гибриΑных птиц Fig. 5. Contact-food "meow" call (1) and food "hissing" (2) of nestlings: a — I. eurythmus; b — I. sinensis; c — hybrid birds
Fig. 1 in Evaluation of food lures for fruit flies (Diptera: Tephritidae) captured in a citrus orchard of the Serra Gaúcha
Fig. 1. Mean number of adult Anastrepha fraterculus (male and female) flies captured per trap per day (FTD) with McPhail monitoring traps containing food lures in a citrus orchard growing the Citrus sinensis cv. 'Valência' from Nov 2012 to Oct 2013. Municipality of Pinto Bandeira, Rio Grande do Sul State, Brazil. The continuous horizontal line indicates an FTD index of 0.5 (economic injury level).
Fig. 1 in Food attractants to increase pheromone-baited trap performance for Scyphophorus acupunctatus (Coleoptera: Dryophthoridae) in mezcal maguey
Fig. 1. Mean number of Scyphophorus acupunctatus weevils captured per trap biweekly, with various food attractants. Means were calculated from data of 5 biweekly samples. Treatments with similar letters are not significantly different (Tukey, α = 0.05). Error bars indicate SE.
Fig. 2 in Biology and food habits of the invasive snail Allopeas gracile (Gastropoda: Subulinidae)
Fig. 2. Change in height (top) and mass (bottom) of Allopeas gracile over a 280 d period of culture.
Fig. 1 in Biology and food habits of the invasive snail Allopeas gracile (Gastropoda: Subulinidae)
Fig. 1. Lateral view of Allopeas gracile, showing the characteristic elongate spire and aperature, and small size. Photo by L. Buss, University of Florida.
Fig. 5 in Biology and food habits of the invasive snail Allopeas gracile (Gastropoda: Subulinidae)
Fig. 5. Growth curves of Allopeas gracile when cultured for 49 d on selected weed or flower foliage, animal tissue, or other potential food. Soil and lime-agar served as controls, as these were available to all snails.
Fig. 1 in New attractant food for catching adult rednecked peanutworm (Lepidoptera: Gelechiidae) in peanut
Fig. 1. Trap containing sugarcane molasses and Stegasta bosqueella adults (see white circles) captured in a peanut crop.
Script and Data Repository - "Future food prices will become less sensitive to agricultural market prices and mitigation costs" Chen et al.
<p>MAgPIE Model outputs and scripts for analysis of markups, based on MarkupsChen package version 1.2 available here: https://github.com/caviddhen/MarkupsChen/releases/tag/v1.2</p> <p> </p> <p> </p>
Supplementary file to "Effect of heat treatment on microbiological safety of supermarket food waste as substrate for black soldier fly larvae (Hermetia illucens)"
Open the record for dataset details and reuse information.
Data archive: Niche overlap between a cold-water coral and an associated sponge for isotopically-enriched particulate food sources
<p>Data belonging to the paper: </p> <p>Dick van Oevelen, Christina E. Mueller, Tomas Lundälv, Fleur C. van Duyl, Jasper M. de Goeij, Jack J. Middelburg<span> </span>(In press) <strong>Niche overlap between a cold-water coral and an associated sponge for isotopically-enriched particulate food sources</strong>. PLOS ONE</p>
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.