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The Collocation-Analyzed Multi-source Ensembled Land Evapotranspiration Data (CAMELE) is a long-term daily global evapotranspiration (ET) product. It integrates inputs from ERA5L, FluxCom, and PMLv2.v017, GLDAS-2, and GLEAMv3.7 datasets. Optimal weights for the inputs are based on error information derived from the Double Instrumental Variable Technique (IVD) and Extended Instrumental Variable Technique (EIVD), minimizing the variance of random errors in the least squares sense. CAMELE provides long-term daily global ET estimates at two resolutions: 0.1° for 2000-2020 and 0.25° for 1980-2022. Rigorous validation against in-situ observations has demonstrated the excellent performance of CAMELE across various vegetation coverage types. The validation process yielded favorable results, including Pearson correlation coefficients (R) averaging 0.63 and 0.65, root-mean-square-errors (RMSE) of 0.81 and 0.73 mm/d, unbiased root-mean-square-errors (ubRMSE) of 1.20 and 1.04 mm/d, mean absolute errors (MAE) of 0.81 and 0.73 mm/d, and Kling-Gupta efficiency (KGE) averaging 0.60 and 0.65 at resolutions of 0.1° and 0.25°, respectively. In addition to the data, we provide example MATLAB codes to read and plot CAMELE data and employ IVD and EIVD methods to merge the inputs. Compared to the previous version, this new version.202306, we have made the following substantial improvements: (1) all inputs have been updated to their latest and most suitable versions; (2) a more rigorous approach to calculate optimal weights, considering non-zero error cross-correlation and proper rescaling, is used; (3) a much more comprehensive site-scale evaluation has been conducted to verify the reliability of CAMELE; (4) the data has been compressed for easier usage. If you have any questions or identify any shortcomings of CAMELE, please do not hesitate to contact us., One simple way to download all files: 1. open pycharm or vs-code to build python-running environment 2. install the pypi package: pip install zenodo-get 3. download all files in one command: zenodo_get 10.5281/zenodo.8047038, {"references":["https://essd.copernicus.org/preprints/essd-2023-226/#discussion"]}

Various reports revealed that chemical constituents from many species of Rubus exhibit diverse biological activities. In this study, a novel flavonoid with a 2-(phenanthren-9-yl)-4H-chromen-4-one structure (1), a 5-phenylthiophene-2-carbaldehyde derivative (5) first isolated from a natural source, together with five known compounds including three polyketides (2–4) and two sesquiterpenoids (6–7) were isolated from a traditional Chinese medicine Rubus rosifolius S.Vidal (Rosaceae). The structures of new compounds were elucidated by detailed spectroscopic analysis including NMR and X-ray single-crystal diffraction. The bioassays results indicated that, compound 1 displayed significant cytotoxicity against human colon cancer cell line HCT116 with IC50 value of 8.6 ± 1.9 μM, and compound 5 exhibited moderate cytotoxicity against human breast cancer cell line MDA-MB-435 with IC50 value of 24.1 ± 0.8 μM.

This dataset provides a long-period estimation of global land evapotranspiration over two resolutions: (1) 0.1°-8day-average resolution, covering 2001-01-01 to 2019-08-29; (2) 0.25°-Daily resolution, covering 1981-01-01 to 2020-12-31. The product was merged using a collocation-based approach. The inputs included: (1) ERA5-land-hourly total evaporation products; (2) Penman-Monteith-Leuning Evapotranspiration V2 (PMLV2); (3) The FluxCom-RS ensemble of global energy flux; (4) the Global Land Evaporation Amsterdam Model version 3.3a (GLEAMv3.3a); (5) The Global Land Data Assimilation System-Noah model (GLDASv2.1 Noah). Five collocation algorithms were used for characterizing the uncertainties of inputs. And the optimal weights of each product were calculated by minimizing the mean square error based on the error information. The CAMELE product was further evaluated against 82 FLUXNET sites and showed average R2 value of 0.73 and 0.68 over 0.1° and 0.25° resolutions, respectively. CAMELE ET can be used for hydrological studies and regional investigation of water resources management, etc. For further information, please check our related publication. Section A : 0.1°-8day-average resolution from 2001 to 2019. (10.5281/zenodo.6616791) Section B:0.25°-daily resolution from 1981 to 2020. (10.5281/zenodo.6616815)

Cholinergic disorder, oxidative stress, and neuroinflammation play important roles in the pathology of Alzheimer's disease. To explore the healthy potential of the edible seaweed Hizikia fusiforme on this aspect, a functional oil (HFFO) was extracted from this alga and investigated on its constituents by gas chromatography-mass spectrometry (GC/MS) in this study. Its anti-Alzheimer's related bioactivities including acetylcholinesterase (AChE) inhibition, antioxidation, and anti-neuroinflammation were evaluated, traced, and simulated by in vitro and in silico methods. GC/MS analysis indicated that HFFO mainly contained arachidonic acid (ARA), 11,14,17-eicosatrienoic acid (ETrA), palmitic acid, phytol, etc. HFFO showed moderate AChE inhibition and antioxidant activity. Bioactivity tracing using commercial standards verified that AChE inhibition of HFFO mainly originated from ARA and ETrA, whereas antioxidant activity mainly from ARA. Lineweaver-Burk plots showed that both ARA and ETrA are noncompetitive AChE inhibitors. A molecular docking study demonstrated low CDOCKER interaction energy of -26.33 kcal/mol for ARA and -43.70 kcal/mol for ETrA when interacting with AChE and multiple interactions in the ARA (or ETrA)-AChE complex. In the anti-neuroinflammatory evaluation, HFFO showed no toxicity toward BV-2 cells at 20 μg/mL and effectively inhibited the production of nitroxide and reduced the level of reactive oxygen species in lipopolysaccharide-induced BV-2 cells. The results indicated that HFFO could be used in functional foods for its anti-Alzheimer's disease-related activities.

Coronary artery aneurysms (CAAs) are uncommon in coronary angiography, and left main coronary artery aneurysms are rare. There is no consensus for the treatment of CAAs. A young patient with left coronary artery aneurysm diagnosed by coronary angiography and with recurrent acute myocardial infarction was treated with rivaroxaban and aspirin. The patient had no angina for 6 months. Novel oral anticoagulants combined with antiplatelet agents may be appropriate for the treatment of CAAs.