Find research datasets worth reusing

Active quantum flocks

Data used in the figures of the paper to appear under the title "Active quantum flocks". All data are written in 'csv' files.

Data and Code related to All-optical recreation of naturalistic neural activity with a multifunctional transgenic reporter mouse

Data and code related to the publication "All-optical recreation of naturalistic neural activity with a multifunctional transgenic reporter mouse" Additional code for running online analysis can be found <a href="https://zenodo.org/record/8139926">here</a>, and code for analysis of all-optical calibration and activity recreation experiments can be found <a href="http://doi.org/10.5281/zenodo.8139926">here.</a>

Predicting brain activity from word embeddings during natural language comprehension: Example Data

Example data for the "Predicting brain activity from word embeddings during natural language comprehension" tutorial.

Data associated with study on winter activity of crapemyrtle bark scale

These data files are associated with a study on the winter activity of crapemyrtle bark scale.

Fig. 9 in Arteperoxides A-C, tris-normonoterpene-sesquiterpene conjugates with peroxide-bridges from Artemisia judaica exhibiting antiosteoclastogenic activity

Fig. 9. (A) Effects of 1–4 on RANKL-induced osteoclast differentiation of RAW 264 cells. RAW 264 cells were treated with RANKL (50 ng/mL) in the presence or absence of 1–4 at the indicated concentrations and cultured for 4 d. The cells were stained using TRAP-staining solution, and the number of TRAP-positive multinuclear (>3 nuclei) cells was counted. Experiments were performed in triplicate, error bars stand for standard deviation, and asterisks show significant differences at P <0.005 according to the Student's t-test. (B) TRAP-stained RAW 264 cells incubated with 50 ng/mL RANKL in the presence or absence of 3 and 4 (20 μM). Scale bar represents 200 nm.

Fig. 6 in Arteperoxides A-C, tris-normonoterpene-sesquiterpene conjugates with peroxide-bridges from Artemisia judaica exhibiting antiosteoclastogenic activity

Fig. 6. (A) Experimental ECD spectra of 1, 1a, and 1b and calculated ECD spectra of 3R,6S,7S,3′R,6′S-1 and its 7-epimer. (B) Experimental ECD spectra of 2, 2a, and 2a/2b (1:3) and calculated ECD spectra of 3R,6S,7S,3′R,6′R-2 and its 7-epimer.

Fig. 4 in Arteperoxides A-C, tris-normonoterpene-sesquiterpene conjugates with peroxide-bridges from Artemisia judaica exhibiting antiosteoclastogenic activity

Fig. 4. (A) Retrosynthesis of 1/2 from hemiacetal 7 and hydroperoxide 8. (B) Synthesis of 1a/2a from R-linalool and 4. (C) Synthesis of 1a/2a and 1 b/2b from RSlinalool and 4.

Fig. 11 in Biological activities of organic extracts and specialized metabolites from different parts of Cryptomeria japonica (Cupressaceae) - A critical review

Fig. 11. Lignans (27–33, 35 and 36), norlignans (34, 37 and 38) and anthraquinone (58) from Cryptomeria japonica biomass residues.

Fig. 7 in Biological activities of organic extracts and specialized metabolites from different parts of Cryptomeria japonica (Cupressaceae) - A critical review

Fig. 7. Sesquiterpenes from Cryptomeria japonica biomass residues, including eudesmanes (17 and 48), bisabolanes (18, 47, 49, 50, 56 and 59) and cadinanes (39, 43–46, 52, 57 and 60) types.

Fig. 4 in Biological activities of organic extracts and specialized metabolites from different parts of Cryptomeria japonica (Cupressaceae) - A critical review

Fig. 4. Pimarane (10, 14 and 61) and isopimarane-type diterpenes from Cryptomeria japonica biomass residues.

Fig. 10 in Diterpenoids from Sigesbeckia glabrescens with anti-inflammatory and AChE inhibitory activities

Fig. 10. The inhibition kinetics of 3-O-acetyldarutigenol (15) towards AChE. (A) Lineweaver-Burk plots for the inhibition of AChE by 3-O-acetyldarutigenol. (B) Determination of Ki using the slopes from Lineweaver–Burk plot towards the concentration of 3-O-acetyldarutigenol.

Fig. 8. Siegetalis H in Diterpenoids from Sigesbeckia glabrescens with anti-inflammatory and AChE inhibitory activities

Fig. 8. Siegetalis H (11) blocks LPS-induced activation of the NF-κB pathway. (A) The phosphorylated and total protein levels of IκBα, as well as the protein level of β-actin, were quantified by immunoblotting in cell lysates of RAW264.7 cells. (B) The quantitative analysis of p- IκBα and IκBα protein levels, normalized against β-actin. (C) Immunoblot analysis of the cytoplasmic and nuclear distribution of p65 NF-κB in RAW264.7 cells. (D) Quantitative analysis of p65 protein levels, normalized against Histone H3 or β-actin. Data are presented as means ± SD, n = 3; #p <0.05, ##p <0.01, ###p <0.001, ####p <0.0001 vs control; *p <0.05, **p <0.01, ***p <0.001, ****p <0.0001 vs LPS only.

Fig. 7 in Diterpenoids from Sigesbeckia glabrescens with anti-inflammatory and AChE inhibitory activities

Fig. 7. Effect of siegetalis H (11) on inflammatory factors on LPS-induced RAW264.7 cells. (A) The cell lysates were collected to detect the expression of iNOS and COX-2. (B) Quantitative analysis of iNOS and COX-2 protein levels, normalized against β-actin. Data are presented as means ± SD, n = 3; #p <0.05, ##p <0.01, ###p <0.001, ####p <0.0001 vs control; *p <0.05, **p <0.01, ***p <0.001, ****p <0.0001 vs LPS only.

Fig. 6 in Chemical constituents of Rumex dentatus L. and their antimicrobial and anti-inflammatory activities

Fig. 6. Anti-inflammatory properties of the isolated compounds. (A): Effects of compounds 1–17 and 19 on LPS-induced NO production in RAW264.7 cells at a concentration of 50μM; (B): Effect of compound 9 on the viability of RAW264.7 cells; (C): Effects of compound9 on LPS-induced NO production in RAW264.7 cells at different concentrations.

Fig. 5 in Chemical constituents of Rumex dentatus L. and their antimicrobial and anti-inflammatory activities

Fig. 5. LC‒MS/MS identification. (A): Total ion chromatogram of crude ethanol extract in negative ion mode with numbers of identified compounds; (B): Total ion chromatogram of crude ethanol extract in positive ion mode; (C): HPLC chromatography of crude ethanol extract monitored at 254 nm and names of the two most abundant compounds.

Fig. 8. Compound 14 activated Nrf2 in Diterpenoids with anti-inflammatory activity from Euphorbia wallichii

Fig. 8. Compound 14 activated Nrf2/HO-1 signaling pathway. (A–C) The expressions of Nrf2 and HO-1 were determined by Western blot analysis and the quantification of protein expression was performed by Image J. (D) The inhibitory effect of 14 (16 μM) on the nuclear translocation of Nrf2 induced by LPS via confocal laser scanning microscopy. RAW264.7 cells stained for Nrf2 (red) and nuclei (DAPI, blue) (scale bar: 10 μm). The values are presented as mean ± SD of three independent experiments, n 3. ###p <0.001, vs. the control group; **p <0.01, ***p <0.001, vs. LPS-treated group. (For interpretation of the references to color in = this figure legend, the reader is referred to the Web version of this article.)

Fig. 7. Compound 14 in Diterpenoids with anti-inflammatory activity from Euphorbia wallichii

Fig. 7. Compound 14 reduced LPS-induced inflammatory factors production and inhibited NF-κB nuclear translocation. (A–C) The expressions of iNOS and COX-2 were determined by Western blot analysis. (D–F) The expressions of NF-κB, p-IκBα, and IκBα were determined by Western blot analysis. The quantification of protein expression was performed by Image J. (G) The inhibitory effect of compound 14 (16 μM) on the nuclear translocation of NF-κB p65 induced by LPS via confocal laser scanning microscopy. RAW264.7 cells stained for NF-κB (green) and nuclei (DAPI, blue) (scale bar: 10 μm). The values were presented as mean ± SD of three independent experiments, n 3. ###p <0.001, vs. the control group; **p <0.01, ***p <0.001, vs. LPS-treated group. (For interpretation of the references to color in = this figure legend, the reader is referred to the Web version of this article.)

Fig. 6. Compound 14 in Diterpenoids with anti-inflammatory activity from Euphorbia wallichii

Fig. 6. Compound 14 reduced LPS-induced pro-inflammatory cytokines release. (A) The NO inhibition curve of compound 14, with an IC50 of 3.84 ± 0.25 μM. (B) Cell viability rate of RAW264.7 cells treated with compound 14 (0, 3.125, 6.25, 12.5, 25, 50, 100 μM) for 24 h. (C–D) Effects of compound 14 on production of inflammatory cytokines (IL-6 and TNF-α) in LPS-induced RAW264.7 cells. ###, p <0.001 vs. control group. *, p <0.1, **, p <0.01 and ***, p <0.001 vs. LPStreated group.

Fig. 5 in Diterpenoids with anti-inflammatory activity from Euphorbia wallichii

Fig. 5. Effect of compounds 1–23 (20 μM) on LPS-induced NO production, using dexamethasone (Dex) as the reference drug.

Fig. 2 in Early infestation volatile biomarkers of fruit fly Bactrocera dorsalis (Hendel) ovipositional activity in mango (Mangifera indica L.)

Fig. 2. Principal coordinate analysis (PcoA) of control, mechanically damaged, and B. dorsalis infested mango treatments (yellow squares, gray triangles, red circles, respectively). Treatment is significant in PERMANOVA (F2,14 = 6.20, p <0.001). Blue boxes with an X denote overlay of individual compounds 1–11 (Table 1) which are unique to the infestation treatment and drive the difference among treatments. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)