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.
3,684
datasets available to search
ShareScore release 0.9.0
Dataset results
3,684 results for “extract”
Supplementary material 2 from: Voynikov Y, Gevrenova R, Zheleva-Dimitrova D, Balabanova V, Nikolova I, Marinov L, Benbassat I, Momekov G (2023) UHPLC-Orbitrap screening of oleraindoles in hydromethanolic extracts of Portulaca oleracea. Pharmacia 70(4): 1521-1527. https://doi.org/10.3897/pharmacia.70.e113577
Scripts
Supplementary material 1 from: Voynikov Y, Gevrenova R, Zheleva-Dimitrova D, Balabanova V, Nikolova I, Marinov L, Benbassat I, Momekov G (2023) UHPLC-Orbitrap screening of oleraindoles in hydromethanolic extracts of Portulaca oleracea. Pharmacia 70(4): 1521-1527. https://doi.org/10.3897/pharmacia.70.e113577
MS/MS spectra of identified compounds
Keypoints extracted from custom videos, collected for human activity recognition project
Open the record for dataset details and reuse information.
Figure 6 from: Abdullah RK, Issa RA, Abu-Samak M, Mohammad BA, Abbas MA, Awwad SH (2024) Nephroprotective effects of Equisetum ramosissimum L. extract in streptozotocin-induced diabetic rats. Pharmacia 71: 1-11. https://doi.org/10.3897/pharmacia.71.e113659
Figure 6 Kidney sections (A) control. B, C. STZ-treated diabetic-rat showing atrophy of glomerular tuft (white arrow in B arrow), increase in the Bowman's space area and degeneration of renal tubules (Black arrow in C) associated with severe hemorrhage and congestion of renal blood vessels; D. Extract-treated rats. Renal tubules (Black arrow), Bowman's capsule (white arrow); E, F. Metformin-treated rats. H & E stain.
Figure 5 from: Abdullah RK, Issa RA, Abu-Samak M, Mohammad BA, Abbas MA, Awwad SH (2024) Nephroprotective effects of Equisetum ramosissimum L. extract in streptozotocin-induced diabetic rats. Pharmacia 71: 1-11. https://doi.org/10.3897/pharmacia.71.e113659
Figure 5 Liver tissue sections of (A) control; B. STZ-treated diabetic-rat; C. Extract-treated rats; D. Metformin-treated rats. White arrows: Central vein. Black arrows: Sinosoids. H& E stain.
Figure 3 from: Abdullah RK, Issa RA, Abu-Samak M, Mohammad BA, Abbas MA, Awwad SH (2024) Nephroprotective effects of Equisetum ramosissimum L. extract in streptozotocin-induced diabetic rats. Pharmacia 71: 1-11. https://doi.org/10.3897/pharmacia.71.e113659
Figure 3 Final Mean values of Urea serum levels at the end of the study. Abbreviations: C = non-diabetic control group, SDM = STZ-induced diabetic rats, SDMET = STZ-induced diabetic rat + metformin (50 mg/kg/day), Q2 = Low dose extract (200 mg/kg/day), SDMQ2 = STZ-induced diabetic rats + Low dose extract (200 mg/kg/day), Q3 =: High dose extract (300 mg/kg/day), SDMQ3 = STZ-induced diabetic rats + High dose extract (300 mg/kg/day). NOTE: Results are represented as Mean±SD (n=6 for each group). * p < 0.05, ** p < 0.01, and *** p < 0.001 when compared with the SDM; • p < 0.05, •• p < 0.01, and •••p < 0.001 when compared with the SDMT (Dunnett's Multiple Comparisons Test).
Figure 4 from: Abdullah RK, Issa RA, Abu-Samak M, Mohammad BA, Abbas MA, Awwad SH (2024) Nephroprotective effects of Equisetum ramosissimum L. extract in streptozotocin-induced diabetic rats. Pharmacia 71: 1-11. https://doi.org/10.3897/pharmacia.71.e113659
Figure 4 Final Mean values of Urea serum levels at the end of the study. Abbreviations: C = non-diabetic control group, SDM = STZ induced diabetic rats, SDMET = STZ-induced diabetic rat + metformin (50 mg/kg/day), Q2 = Low dose extract (200 mg/kg/day), SDMQ2 = STZ-induced diabetic rats + Low dose extract (200 mg/kg/day), Q3 =: High dose extract (300 mg/kg/day), SDMQ3 = STZ-induced diabetic rats+ High dose extract (300 mg/kg/day). NOTE: Results are represented as Mean±SD (n=6 for each group). * p < 0.05, ** p < 0.01, and *** p < 0.001 when compared with the SDM; • p < 0.05, •• p < 0.01, and •••p < 0.001 when compared with the SDMT (Dunnett's Multiple Comparisons Test).
Figure 4 from: Warsi W, Jaswir I, Ahmed QU, Mahfudh N, bin Mohd. Nawi MS, Rohman A, Khatib A (2024) Morphological, teratogenic and behavioral evaluations of Gelidium spinosum methanol extract on zebrafish embryos. Pharmacia 71: 1-10. https://doi.org/10.3897/pharmacia.71.e109918
Figure 4 Teratogenic effects of various doses of GsME in zebrafish embryos. A. Normal embryo; B. 250 mg/L; C. 30 mg/L; D. 125 mg/L; E. Normal control; F–I. 62.5 mg/L.
Figure 2 from: Warsi W, Jaswir I, Ahmed QU, Mahfudh N, bin Mohd. Nawi MS, Rohman A, Khatib A (2024) Morphological, teratogenic and behavioral evaluations of Gelidium spinosum methanol extract on zebrafish embryos. Pharmacia 71: 1-10. https://doi.org/10.3897/pharmacia.71.e109918
Figure 2 The LC50 and EC50 of GsME in zebrafish embryos: 1 dpf (A), 2 dpf (B), 3 dpf (C), 4 dpf (D).
Figure 3 from: Nguyen N-VT, Nguyen CV, Duong NT, Dai X-TT, Nguyen KT, Le C-TT (2024) Optimization of ultrasound-assisted extraction using response surface methodology and quantification of polyphenol compounds in Avicennia officinalis L. from Vietnam. Pharmacia 71: 1-9. https://doi.org/10.3897/pharmacia.71.e115528
Figure 3 3D response surface curve showing the influences of independent variables on the TFC (A–F).
Figure 2 from: Nguyen N-VT, Nguyen CV, Duong NT, Dai X-TT, Nguyen KT, Le C-TT (2024) Optimization of ultrasound-assisted extraction using response surface methodology and quantification of polyphenol compounds in Avicennia officinalis L. from Vietnam. Pharmacia 71: 1-9. https://doi.org/10.3897/pharmacia.71.e115528
Figure 2 3D response surface curve showing the influences of independent variables on the TPC (A–F).
Figure 4 from: Nguyen N-VT, Nguyen CV, Duong NT, Dai X-TT, Nguyen KT, Le C-TT (2024) Optimization of ultrasound-assisted extraction using response surface methodology and quantification of polyphenol compounds in Avicennia officinalis L. from Vietnam. Pharmacia 71: 1-9. https://doi.org/10.3897/pharmacia.71.e115528
Figure 4 HPLC chromatogram of A. officinalis leaves extract. a Mobile phase solvent; b Solute sovent; c Extraction solvent; d Spiked sample; e Mixed standards solution; f Standard addition. (C1: Chlorogenic acid, C2: p-coumaric acid, C3: Sinapic acid, C4: Taxifolin, C5: Luteolin -7-O-glucoside, C6: Cinnamic acid).
Figure 1 from: Nguyen N-VT, Nguyen CV, Duong NT, Dai X-TT, Nguyen KT, Le C-TT (2024) Optimization of ultrasound-assisted extraction using response surface methodology and quantification of polyphenol compounds in Avicennia officinalis L. from Vietnam. Pharmacia 71: 1-9. https://doi.org/10.3897/pharmacia.71.e115528
Figure 1 Influence of methanol concentration, ratio of solid to liquid, temperature and time ultrasonic on the extration of TPC and TFC from A. officinalis leave extracts.
Figure 3 from: Mesa-Varona O, Plaza-Rodríguez C, Valentin L, Filter M (2024) WarenstromInfo: a tool for the easy extraction and visualisation of trade flow data. Research Ideas and Outcomes 10: e112227. https://doi.org/10.3897/rio.10.e112227
Figure 3 WI User Interfaces: UI3. In the UI3, countries involved in the query can be selected (I and J). Input data from UI3 are included in the query by clicking "Next" (K).
Figure 5 from: Mesa-Varona O, Plaza-Rodríguez C, Valentin L, Filter M (2024) WarenstromInfo: a tool for the easy extraction and visualisation of trade flow data. Research Ideas and Outcomes 10: e112227. https://doi.org/10.3897/rio.10.e112227
Figure 5 A screenshot of the BACI SQLite database builder workflow. The workflow presented here is organised into two main sections, with interconnected KNIME nodes displayed in each section. The yellow-boxed nodes are responsible for creating and loading the database where the data are stored. The green-boxed section shows: Locate BACI csv files (BACI files must have been previously downloaded and stored in a folder that is pointed in the "List Files/Folders" KNIME node). Split the files according to the HS data provided and Load csv files, filtering and storage in SQLite database (carried out in each consecutive metanode). In this last section, the user can decide not to filter the data or customise the filter criteria of the BACI database, including more types of data apart from those agrifood data that are included in the default configuration of the workflow. Variable flow connections (red lines) can be removed in the second green-boxed section, if an HPC (High Performance Computing) service is available. This will allow the workflow to run much faster as the nodes will not be executed one after the other, but all at the same time.
Figure 4 from: Mesa-Varona O, Plaza-Rodríguez C, Valentin L, Filter M (2024) WarenstromInfo: a tool for the easy extraction and visualisation of trade flow data. Research Ideas and Outcomes 10: e112227. https://doi.org/10.3897/rio.10.e112227
Figure 4 WI User Interfaces: UI4. The UI4 provides an overview of the final WI outputs, displaying a list with the initial input variables (L), three maps displaying trade flows (a world map, a world map focused on Europe and an European map) (M), download options (N), slide filter bars for value and weight preview (O) and trade flow data in the preview table (P).
Figure 1 from: Mesa-Varona O, Plaza-Rodríguez C, Valentin L, Filter M (2024) WarenstromInfo: a tool for the easy extraction and visualisation of trade flow data. Research Ideas and Outcomes 10: e112227. https://doi.org/10.3897/rio.10.e112227
Figure 1 WI User Interfaces: UI1. In the UI1, users can select the desired database (EUROSTAT/BACI) (A). The database selection is concluded by clicking "Next" (B), which will lead the user to the following UI.
Figure 2 from: Mesa-Varona O, Plaza-Rodríguez C, Valentin L, Filter M (2024) WarenstromInfo: a tool for the easy extraction and visualisation of trade flow data. Research Ideas and Outcomes 10: e112227. https://doi.org/10.3897/rio.10.e112227
Figure 2 User Interfaces: UI2. In the UI2, the following input options can be selected: standard selection (C), time range of the search (D), the email option (E), the pre-filter option (F) and the table with the embedded live filter (G). Input data from UI2 are processed by clicking "Next" (H).
Figure 3 from: Andri Deswati D, Anggadiredja K, Nuryanti Garmana A (2024) Potent antioxidant activity of black grass jelly (Mesona palustris BL) leaf extract and fractions. Pharmacia 71: 1-5. https://doi.org/10.3897/pharmacia.71.e117435
Figure 3 Results of antioxidant activity test using FRAP. The activity is represented by reducing power.
Figure 2 from: Andri Deswati D, Anggadiredja K, Nuryanti Garmana A (2024) Potent antioxidant activity of black grass jelly (Mesona palustris BL) leaf extract and fractions. Pharmacia 71: 1-5. https://doi.org/10.3897/pharmacia.71.e117435
Figure 2 Results of antioxidant activity test using ABTS (A) and DPPH (B). The activity is represented by IC50.
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.