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.
29,897
datasets available to search
ShareScore release 0.9.0
Dataset results
29,897 results for “activism”
Fig. 17 in Review of lignans from 2019 to 2021: Newly reported compounds, diverse activities, structure-activity relationships and clinical applications
Fig. 17. The potential structure-activity relationships of lignans in antitumor, anti-inflammatory and antioxidant effects.
Fig. 16 in Review of lignans from 2019 to 2021: Newly reported compounds, diverse activities, structure-activity relationships and clinical applications
Fig. 16. Structure based activity distribution. (A) The proportion of pharmacological activities; (B) distribution of bioactivities in different classification.
Fig. 3. 1H–1H in Potential inhibitors of microglial activation from the roots of Vernicia montana Lour
Fig. 3. 1H–1H COSY (red blue lines) and key HMBC (blue arrows) correlations of 1, 2, 12–14,18 and 19. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 15 in Review of lignans from 2019 to 2021: Newly reported compounds, diverse activities, structure-activity relationships and clinical applications
Fig. 15. Distribution of molecular resources analysis. (A) Main classifications of lignans; (B) distribution of lignan subclass structures; (C) distribution of lignans in top eight families.
Fig. 6 in Spiroganodermaines A G from Ganoderma species and their activities against insulin resistance and renal fibrosis
Fig. 6. Compounds inhibit renal fibrosis in vitro. (A) NRK-52E cells were treated with 20 μM for 48 h, and cell viability was determined by using the CCK-8 assay. (B, E and F) Compounds at 20 μM affect renal fibrosis-related protein expression. GW788388 was used as a positive control. (C) NRK-52E cells were treated with 5, 10 and 20 μM of ()-7 for 48 h, and cell viability was determined by using the CCK-8 assay. (D, G and H) Compound ()-7 dose-dependently inhibits fibronectin and α-SMA expression. GW788388 was used as a positive control. The results were represented Mean ± SEM. *P <0.05, **P <0.01, ***P <0.001, ****P <0.0001 compared with TGF-β1 alone. #P <0.05 ##P <0.01, ###P <0.001, and ####P <0.0001 compared with DMSO alone.
Fig. 4. Compounds 1, 21 in Six C21 steroidal glycosides from Cynanchum wallichii Wight roots and their multidrug resistance reversal activities
Fig. 4. Compounds 1, 21, and 25 can reverse drug resistance by decreasing P-gp, NF-κB, and c-jun gene and protein expression. (A–C) MDR1, NFκB, and JUN gene expression in MCF-ADR and HepG2-ADM cells following co-treatment with 1, 21, and 25 and Doxorubicin. (D–E) MDR1, NFκB, and Jun protein expression in MCFADR and HepG2-ADM cells treated with 1, 21, and 25 in combination with DOX.
Fig. 3. The C21 in Six C21 steroidal glycosides from Cynanchum wallichii Wight roots and their multidrug resistance reversal activities
Fig. 3. The C21 steroid compounds (1–28) exhibited DOX resistance reversing activity (A) Cell viability following treatment with compounds 1–28. (B) CI value for DOX and the isolated compounds in HepG2/ ADM and MCF7/ADR cells. (C) Intersection diagram for DOX and 50% of the steroid compounds with the highest IC50 values at the same concentration. (D) Molecular docking model findings for the computer simulation of the multidrug resistance-associated protein (P-gp) and the steroid compounds.
Fig. 5 in Spiroganodermaines A G from Ganoderma species and their activities against insulin resistance and renal fibrosis
Fig. 5. Attenuation of insulin-induced IR in myotubes. (A) C2C12 cell proliferation in response to compounds at 40 μM by CCK-8 assay. (B) C2C12 were treated with 40 μM for 24 h, and glucose uptake was determined. Metformin (Met) was used as a positive control. (C) Compound (+)-7 improves insulin-stimulated glucose uptake in IR model. (D–F) Expression of p-AKT and p-IRS1 were determined by Western blot. Compound (+)-7 improves attenuated insulin signal pathway disruption in dose-dependent manner. #P <0.05 and ###P <0.001 compared with no-insulin treatment control; *P <0.05 and **P <0.01 compared with insulin treatment alone; $$$P <0.001 and $$$$P <0.0001 compared with insulin treatment control.
Fig. 2 in Six C21 steroidal glycosides from Cynanchum wallichii Wight roots and their multidrug resistance reversal activities
Fig. 2. NF-κB expression in breast cancer and hepatocellular carcinoma Adriamycin-resistant cell lines with increased P-gp expression and significant drug resistance (A) Cell viability in DOX-treated MCF-7 and HepG2 cells and drug-resistant MCF-7/ADR and HepG2/ADM cells. (B–D) Background expression of proteins (P-gp) and genes (MDR1, NFκB, JUN) in DOX-treated MCF-7 and HepG2 cells and in drug-resistant MCF-7/ADR and HepG2/ADM cells.
Fig. 9 in Structural characterization of phenolic constituents from the rhizome of Imperata cylindrica var. major and their anti-inflammatory activity
Fig. 9. Inhibitory effects of compounds 4, 11, 37, 43 and 47 on the protein expression of TNF-α, IL-6, iNOS, IKK-α, p-IKK-α, NF-κB/p65 and p-NF-κB/p65 in RAW 264.7 cells. Normal: normal group without LPS, DEX and other tested samples. Values represent the mean ± SEM of three determinations. *P <0.05; **P <0.01; ***P <0.001 (Differences between compound-treated group and control group). ##P <0.01; ###P <0.001 (Differences between LPS-treated group and control group). n = 3.
Fig. 8 in Structural characterization of phenolic constituents from the rhizome of Imperata cylindrica var. major and their anti-inflammatory activity
Fig. 8. Influences of compounds 4, 11, 12, 24, 27, 31, 32, 37, 43, 45, and 47 at 3, 10, and 30 μM on NO production in RAW264.7 cells, respectively. Values represent the mean SD of six determinations. *P <0.05, ***P <0.001 (Differences between compound-treated group and control group). ###P <0.001 (Dif± ferences between control group and normal group). n = 6.
Fig. 5 in Structures and neuroprotective activities of triterpenoids from Cynomorium coccineum subsp. songaricum (Rupr.) J. Leonard
Fig. 5. Neuroprotective compounds against SK-N-SH cell death from C. coccineum subsp. songaricum (A: active compounds in Glu-induced neuronal death assay. B: active compounds in OGD-induced neuronal death assay. C: inactive compounds with nonpolar group at C-3. D: inactive compounds with different E-ring).
Fig. 1 in Structures and neuroprotective activities of triterpenoids from Cynomorium coccineum subsp. songaricum (Rupr.) J. Leonard
Fig. 1. Structures of four previously undescribed triterpenes isolated from C. coccineum subsp. songaricum.
Fig. 4 in Structures and neuroprotective activities of triterpenoids from Cynomorium coccineum subsp. songaricum (Rupr.) J. Leonard
Fig. 4. Neuroprotective effects against (A) Glu-induced and (B) OGD-induced SK-N-SH cell death of compounds isolated from C. coccineum subsp. songaricum. Donepezil (10 μM) or samples pretreated the cells for up to 1 h in a1/b1 subsets, whereas in a2/b2 subsets, donepezil (3 μM) or samples pretreated the cells for up to 4 h. The viability rate indicated a mean ± SD (n = 3), calculated as (ODOD)/(ODOD) × 100% with #P <0.05, ##P
Fig. 2 in Three unusual hybrid sorbicillinoids with anti-inflammatory activities from the deep-sea derived fungus Penicillium sp. SCSIO06868
Fig. 2. Global natural products social molecular networking analysis of HR- MS/MS of culture extracts derived from Penicillium sp. SCSIO06868 and the cluster corresponding to undescribed sorbicillinoids in this study.
Fig. 6 in Three unusual hybrid sorbicillinoids with anti-inflammatory activities from the deep-sea derived fungus Penicillium sp. SCSIO06868
Fig. 6. Linear regression analysis of calculated 13C NMR shifts of (1′S)-1 (right) and (1′R)-1 (left) against the experimental shifts of 1 and the DP4 probability for + assignment of 1 to the candidate stereoisomers.
Fig. 9 in Undescribed alkyne-geranylcyclohexenetriols from the endophyte Diaporthe caulivora 09F0132 and their anti-melanogenic activity
Fig. 9. The inhibitory effects of caulivotrioloxin A (1) on the protein expression of melanogenic proteins, including tyrosinase, tyrosinase-related protein (TRP)- 1, and TRP-2 in mouse melanoma B16–F10 cells. Cells were plated with 50 nM α-melanocyte-stimulating hormone for 24 h for inducing melanogenesis, and then incubated with the solvent control or 5, 10, 50, or 100 μM of the caulivotrioloxin A (1) for another 48 h. Arbutin (1 mM) and kojic acid (1 mM) were used as the reference control.
Fig. 8 in Undescribed alkyne-geranylcyclohexenetriols from the endophyte Diaporthe caulivora 09F0132 and their anti-melanogenic activity
Fig. 8. Anti-melanogenic activities of caulivotrioloxin A (1) in mouse melanoma B16–F10 cells. Cells were plated with (induction) or without (basal) 50 nM α-melanocyte-stimulating hormone (α-MSH) for 24 h for inducing melanogenesis, and then incubated with the solvent control or 5, 10, 50, or 100 μM of the compound 1 for another 48 h. After treatment, cells were incubated with 10% volume of alamarBlue® reagent to determine cell viability (A), then harvested by trypsinization for analyzing melanin content (B) and tyrosinase activity (C). Arbutin (1 mM) and kojic acid (1 mM) were used as the reference control. Data were normalized with the basal group and presented as mean ± S.E.M. from at least three independent experiments. *p <0.05, **p <0.01, ***p <0.005, compared to the α-MSH-induction group.
Fig. 7 in Undescribed alkyne-geranylcyclohexenetriols from the endophyte Diaporthe caulivora 09F0132 and their anti-melanogenic activity
Fig. 7. Effects of different compounds derived from D. caulivora 09F0132 on the cell viability of human colorectal HCT 116 (A) and human normal keratinocyte HaCaT (B) cells. Cells were plated for 24 h and then treated with various samples for another 48 h. Data were represented as the cell viability relative to the solvent control group (0.1% DMSO). Values were mean ± SD from three independent experiments.
Fig. 6 in Undescribed ecdysteroids and phenolic glycosides from the roots of Cyathula officinalis Kuan and their anti-inflammatory activity in LPS-induced RAW 264.7 macrophages in vitro
Fig. 6. Effects of 1 on iNOS, COX-2, and NF-κB protein expression in LPS-induced RAW 264.7 cells in vitro. "Dexamethasone" represents the positive control group, and "Control" represents the blank control, which was not treated with LPS or the tested compounds. (A) Protein expression of iNOS, COX-2, P65 and P–P65 was determined by Western blotting. (B) Relative protein expression of P–P65 to P65 is shown as a histogram. (C) Protein expression of iNOS and COX-2 relative to the control is shown as a histogram. The experiment was repeated three times. Data are presented as the mean ± SD. *P <0.05 vs. the LPS group, **P <0.01 vs. the LPS group.
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.