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The data were originally collected for the paper "Olfactory Response as a Marker for Alzheimer’s Disease: Evidence from Perception and Frontal Oscillation Coherence Deficit" in Ziaeian Hospital, Tehran, Iran. The study was conducted on mild AD and normal participants. This data includes EEG from 4 channels (Fp1-Fz-Cz-Pz) with A1 earlobe as reference. The sampling frequency is 200 Hz. It contains EEG segments during olfaction of two odors (Lemon and Rosewater). Each segment contains 1 second before and 2 seconds after the stimulus onset. Segments corresponding to Lemon odor are indicated by 0 and Rosewater segments are denoted by 1 in a vector inside the dataset. In addition, noisy epoch numbers are included in the dataset. The order of the channels in the dataset is as follows: Fp1 - Fz - Cz - Pz. The data is preprocessed and eye-blink artifact was removed using FastICA algorithm. Data on Iran-SIT score as well as participants' MMSE scores can be found in .xlsx file. If you used this data and found it helpful, please cite our paper.
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1. Input files and corresponding output files for TOUGH2 numerical simulations designed to test possible pre-eruptive and syneruptive thermohydrologic processes at maar/diatreme volcanoes, using a model setup based on lithological characteristics of Colton Crater and Rattlesnake Crater in northern Arizona. - Cases 1.1 and 2.1 are base cases, others test input parameter variations. - Cases 3A-3C are designed to simulate progressive diatreme growth 2. Heat flow calculation for input files
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This dataset support our methods publication recently accepted in Ecosystems Manuscript highlights • Stable isotope analysis suggests δ13C-CH4 oxidation and fractionation occurs during transport • Substantial fine-scale vertical and radial heterogeneity identified in tree stem CH4 emissions • Novel smartphone 3D photogrammetry can more accurately estimate the tree stem surface area compared to traditional methods • Fine-scale sampling method shows 86-89% of methane flux emanates from the lower 30cm of wetland forest tree stems   Manuscript Abstract: Tree stem methane emissions are gaining increasing attention as an overlooked atmospheric source pathway. Existing methods for measuring tree stem greenhouse gas fluxes and isotopes may provide robust integrated emission estimates, but due to their coarse resolution, the capacity to derive insights into fine-scale dynamics of tree stem emissions are limited. We demonstrate and field-test an alternative method that is Small, Nimble, In situ and allows for Fine-scale Flux (‘SNIFF’) measurements, on complex and contrasting stem surfaces. It is light weight and therefore suitable to remote field locations enabling real time data observations allowing for field-based data driven sampling regimes. This method facilitated novel results capturing fine-scale vertical and radial methane flux measurements (5cm increments) and revealed: (1) 86-89% of methane emissions emanated from the lower 30cm of sampled wetland tree species; (2) uncovered clear vertical and horizontal trends in δ13C-CH4 possibly due to fractionation associated with oxidation and mass-dependant fractionation during diffusive transport; and (3) demonstrated how substantial radial heterogeneity can occur. We also compared a variety of upscaling approaches to estimate methane flux per tree when using this method, including novel smartphone 3D photogrammetry, that resulted in a substantially higher stem surface area estimation (>16 to 36%) than traditional empirical methods. Utilising small chambers with high radial and vertical resolution capabilities may therefore facilitate future assessments into the drivers, pathways, oxidation sinks and magnitude of various tree stem greenhouse gas emissions, and compliment previous broad-scale sampling techniques.
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These data contain the list of selected "seed-sequences" for biodegradative and metal-related activities prediction by hidden Markov models (HMM) profiles, in Apatlaco river, Morelos state, Mexico. The Apatlaco river has 63 km in length and provides water to 10 state districts and an average of 2 million of people. The river receives 321 wastewater discharges, of which 49% come from industrial activities, 42% from the domestic sector and just 9% from farming. The aim of this research is to understand the functional and metabolic potential of the microbial communities in the Apatlaco river and highlight its relations with natural bioremediation capabilities. Also, we make publicly available the metagenomic assemblies generated for each of four sites sampled along the river (S1-S4). The assemblies were generated using Megahit v1.1.3 (Li et al., 2015) with the following parameters: --k-min 25 --k-max 75 --k-step 10 -m 0.4 --no-mercy.
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The dataset covers four southern provinces of Sumatra, Indonesia: South Sumatra, Bengkulu, Lampung, and Bangka Belitung Islands.
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Supplemental material with datasets used to create figures, including megafaunal abundance percentages and diversity statistics.
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Please see uploaded PDF file called "File Description"
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The structral after preprocessing with SUIT in normal controls, amnestic mild cognitive impairment and Alzheimer's disease. The functional data could can be obtained by contacting the author, dantao.peng@outlook.com
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Complete source code, dataset, images, and calibration code.
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• VDOs and photos of eleven demonstration activities for an introductory undergraduate chemistry safety session are in folders A-K. The first two activities are a safety video and a lab tour. All other activities are drawn from popular demonstrations and presented in the context of chemical safety. These include bursting a balloon by toluene, creating dry ice fog in fume hood, a reaction forming a carbon snake, a glycerol and potassium permanganate reaction, creating a fireproof banknote, putting out a candle by a copper coil, putting out a candle by a test tube, demonstrating a can crushed by air pressure, and making a soda geyser. • Notes for instructors (Table 1S detailed procedures and Table 2S mapping to RAMP) • A safety poster for undergraduate teaching chemical laboratory • Survey items and results (+/-/∆ and CLASS for Figure 1)
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