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3,684 results for “extract”
Figure 4 from: Yusuf H, Kamarlis RK, Yusni Y, Fahriani M (2021) The anticancer activity of ethanol extract of Chromolaena odorata leaves in 7,12-Dimethylbenz[a]anthracene in (DMBA) induced breast cancer Wistar rats (Rattus novergicus). Pharmacia 68(2): 493-499. https://doi.org/10.3897/pharmacia.68.e63956
Figure 4 The means of body weight of experimental animals observed during the experiment.
Figure 3 from: Yusuf H, Kamarlis RK, Yusni Y, Fahriani M (2021) The anticancer activity of ethanol extract of Chromolaena odorata leaves in 7,12-Dimethylbenz[a]anthracene in (DMBA) induced breast cancer Wistar rats (Rattus novergicus). Pharmacia 68(2): 493-499. https://doi.org/10.3897/pharmacia.68.e63956
Figure 3 The means of nodules weight observed on week 16th.
EFFECT OF FRENCH MARITIME PINE BARK EXTRACT ON ATTENTION-DEFICIT HYPERACTIVITY DISORDER: A RANDOMIZED CLINICAL TRIAL.
<p>This is a dataset from a phase III, randomised, double-blind, placebo and active product controlled, multicentre clinical trial with three parallel treatment arms to compare effects on ADHD and ADD behaviour between Pycnogenol®, MPH (Medikinet® Retard) and placebo, using the ADHDRating Scale (ADHD-RS/ARS) as a primary outcome measure.</p> <p>Evaluations were performed in weeks 5 and 10, as compared to baseline. Two visits with similar evaluations were conducted: at baseline and after 10 weeks. Next to baseline and final evaluations, an extra evaluation of behaviour and physical symptoms was conducted in week 5 by means of questionnaires. The trial population will consists of ADHD and ADD patients recruited at the University Hospitals of Antwerp (UZA) and Ghent (UZ Ghent) and the Hospital Network Antwerp (ZNA), Belgium. Participants were randomised, stratified by trial centre, to one of the three treatment arms (placebo, Pycnogenol®, or Medikinet® Retard) by randomization.com randomisation software. Published protocol: Verlaet AAJ, Ceulemans B, Verhelst H, Van West D, De Bruyne T, Pieters L, Savelkoul HFJ, Hermans N. Effect of Pycnogenol® on attention-deficit hyperactivity disorder (ADHD): study protocol for a randomised controlled trial. Trials (2017), 18(1).</p> <p>As the primary objective is to assess the efficacy of Pycnogenol® for improving ADHD and ADD behaviour as rated by teachers compared to placebo and Medikinet® Retard, the primary outcome is the summed ADHD score of the ADHD-RS as rated by teachers. Teachers filled out this questionnaire before the start of the intervention and after 5 and 10 weeks. Secondary outcomes ADHD/ADD behaviour Secondary outcomes related to ADHD/ADD behaviour are:</p> <p>Summed ADHD score of the ADHD-RS, rated by parents</p> <p>Summed ADHD score of the Social-emotional Questionnaire (SEQ), rated by parents and teachers</p> <p>Scores on ADHD subscales of the ADHD-RS and SEQ, rated by parents and teachers (hyperactivity, impulsivity and inattention)</p> <p>Percentage of responders rated by parents and teachers, defined as participants with a reduction of at least 20% of their baseline summed ADHD-RS s</p> <p>Social behaviour problems subscale of the SEQ, rated by parents and teachers, to evaluate to what extent symptoms of ODD and CD are displayed</p> <p>Anxiety subscale of the SEQ, rated by parents and teachers, to evaluate symptoms of general anxiety, social anxiety and anxiety-depression</p> <p>Physical and sleep complaints, including various potential side effects, measured by the Physical Complaints Questionnaire (PCQ)</p> <p>Dietary habits of participants were assessed by a Food Frequency Questionnaire (FFQ).</p> <p>The ADHD-RS (ARS) is a validated, internationally accepted questionnaire. Its 9 inattention (IA) and 9 hyperactivity and impulsivity (HI) items, rated on a four-point rating scale (never/seldom 0, sometimes 1, often 2, or very often 3), are based on the DSM. The ADHD-RS was used in previous trials as well. </p> <p>Besides ADHD, the Social-Emotional Questionnaire (SEQ) assesses core symptoms of other social-emotional problems (social behaviour problems, anxiety and autism). Its 72 questions are based on the DSM and rated on a five-point scale (never 0, less than once a month 1, every month 2, every week 3, or (almost) every day 4). The ADHD score can be subdivided into an hyperactivity (H) score, impulsivity (I) score and inattention (IA) score, each based on 6 questions.</p> <p>The PCQ enquires physical and sleep complaints, for instance related to pain, unusual thirst/perspiration, asthma or rhinitis, skin problems, tiredness, gastrointestinal problems and sleep problems. Questions include potential adverse effects and are rated on a five-point scale. In addition to several stand-alone questions, various questions can be combined (e.g. total pain: headache, stomach ache and growing pains). Each item is rated on a five-point scale (never 0, less than once a month 1, every month 2, every week 3, or (almost) every day 4). </p> <p>The FFQ consisted of 50 questions on different food groups to be rated on a nine-point scale (never 0, less than once a month 1, 1-3 times a month 2, once a week 3, 2-4 times a week 4, 5-6 times a week 5, once a day 6, 2-3 times a day 7, more than 3 times a day 8) to assess global dietary habits (e.g. how often a participant consumes fresh fruits or vegetables).</p> <p>Researchers involved in digitalizing questionnaire answers and statistics were blind for the participant groups. In case of >2 missing answers regarding a (sub)score within a patient, this (sub)score was set to missing. Participants were excluded from analyses only for those outcomes without any data available. Several teacher questionnaires were missing due to teachers never responding/not responding anymore, starting/ending the study during the summer holiday, covid-19 (homeschooling), or a combination of these.</p> <p>Data in SPSS were directly used for statistics. Data in excel are raw data.</p>
Figure 8 from: Dadayan AS, Stepanyan LA, Sargsyan TH, Hovhannisyan AM, Dadayan SA (2021) Quantitative analysis of biologically active substances and the investigation of antioxidant and antimicrobial activities of some extracts of Osage orange fruits. Pharmacia 68(4): 731-739. https://doi.org/10.3897/pharmacia.68.e70180
Figure 8 Quantitative content of vitamin C in ethanol extract of Osage Orange.
Figure 7 from: Dadayan AS, Stepanyan LA, Sargsyan TH, Hovhannisyan AM, Dadayan SA (2021) Quantitative analysis of biologically active substances and the investigation of antioxidant and antimicrobial activities of some extracts of Osage orange fruits. Pharmacia 68(4): 731-739. https://doi.org/10.3897/pharmacia.68.e70180
Figure 7 Quantitative content of vitamin C in aqueous extract of Osage Orange.
Figure 3 from: Dadayan AS, Stepanyan LA, Sargsyan TH, Hovhannisyan AM, Dadayan SA (2021) Quantitative analysis of biologically active substances and the investigation of antioxidant and antimicrobial activities of some extracts of Osage orange fruits. Pharmacia 68(4): 731-739. https://doi.org/10.3897/pharmacia.68.e70180
Figure 3 Results of chromatography of organic acids in ethyl acetate extract of Osage Orange.
Figure 1 from: Dadayan AS, Stepanyan LA, Sargsyan TH, Hovhannisyan AM, Dadayan SA (2021) Quantitative analysis of biologically active substances and the investigation of antioxidant and antimicrobial activities of some extracts of Osage orange fruits. Pharmacia 68(4): 731-739. https://doi.org/10.3897/pharmacia.68.e70180
Figure 1 Results of chromatography of organic acids in aqueous extract of Osage Orange.
Figure 9 from: Dadayan AS, Stepanyan LA, Sargsyan TH, Hovhannisyan AM, Dadayan SA (2021) Quantitative analysis of biologically active substances and the investigation of antioxidant and antimicrobial activities of some extracts of Osage orange fruits. Pharmacia 68(4): 731-739. https://doi.org/10.3897/pharmacia.68.e70180
Figure 9 Quantitative content of vitamin C in ethyl acetate extract of Osage Orange.
Figure 2 from: Dadayan AS, Stepanyan LA, Sargsyan TH, Hovhannisyan AM, Dadayan SA (2021) Quantitative analysis of biologically active substances and the investigation of antioxidant and antimicrobial activities of some extracts of Osage orange fruits. Pharmacia 68(4): 731-739. https://doi.org/10.3897/pharmacia.68.e70180
Figure 2 Results of chromatography of organic acids in ethanol extract of Osage Orange.
Figure 3 from: Giurginca A, Šustr V, Tajovský K, Giurginca M, Matei I (2015) Spectroscopic parameters of the cuticle and ethanol extracts of the fluorescent cave isopod Mesoniscus graniger (Isopoda, Oniscidea). In: Taiti S, Hornung E, Štrus J, Bouchon D (Eds) Trends in Terrestrial Isopod Biology. ZooKeys 515: 111–125. https://doi.org/10.3897/zookeys.515.9395
Figure 3 - IR spectra of the ethanol extract of Mesoniscus graniger graniger.
Data extraction and Quality assessment consensus only
<p>This file , contain data regarding "Data extraction and Quality assessment consensus only". Data were extraxted during a systematic review and mea-analysis study.</p>
Cumulate granites and extraction of interstitial high-silica melts: the case of leucogranites in the northern Tibetan Plateau
<p>Data for "Cumulate granites and extraction of interstitial high-silica melts: the case of leucogranites in the northern Tibetan Plateau"</p>
LCMS data of Oyster Mushroom (Pleurotus ostreatus) Extract
<p>LCMS data and Total Chromatogram of Oyster Mushroom (Pleurotus ostreatus) Extract</p>
Seismic attenuation extraction from traffic signals recorded by a single seismic station (3/3)
<p>This repository contains the raw field data and corresponding codes for the West Coast Park site in the manuscript entitled "Seismic attenuation extraction from traffic signals recorded by a single seismic station " by Yumin Zhao, Enhedelihai Nilot, Bei Li, Yunyue Elita Li, and Gang Fang. The data is about 7-month long. This repository contains the last two months of the data. The first 5 months of the data can be found at https://zenodo.org/record/4905734#.Y3MaoXZByUk.</p>
Dataset of 1000 random variants extracted from ClinVar
<p>Random selection of 1000 single amino polymorphisms in the ClinVar database</p>
Extraction of Crossref datadump for benchmarking purpose (minify version)
<p> A chunk of Crossref datadump minified (removing whitespace)</p>
Dataset for "Fluorescence of solvent-extractable organics in sub-micrometer forest aerosols in Hokkaido, Japan, Atmos. Environ."
<p>This dataset is for “Fluorescence of solvent-extractable organics in sub-micrometer forest aerosols in Hokkaido, Japan” by Afsana et al. in Atmospheric Environment. The contents are described in the sheet “readme” of the Excel file named “Dataset_sonia2023323.xlsx”. The excitation–emission matrix (EEM) spectra of OA extracts in solutions were measured using a fluorescence spectrophotometer (FP-6600, JASCO) using a 1-cm path length quartz cell. The ranges of the excitation and emission wavelengths were 220–500 nm and 250–650 nm, respectively. drEEM toolbox (version 0.2.0) for MATLAB (http://www.models.life.ku.dk/dreem) was used to preprocess the EEMs and to perform parallel factor (PARAFAC) analysis. The details of the analysis of the mass concentrations and the ion groups of OA extracts were reported in Afsana et al. (2022). The details of the analysis of the mass concentrations of biogenic molecular tracers were reported in Müller et al. (2017). The dataset was obtained under the support by JSPS KAKENHI Grant Numbers JP19H04253 and JP25281002.</p> <p>Afsana, S., Zhou, R., Miyazaki, Y., Tachibana, E., Deshmukh, D. K., Kawamura, K., and Mochida, M.: Fluorescence of solvent-extractable organics in sub-micrometer forest aerosols in Hokkaido, Japan, Atmos. Environ.</p> <p>Afsana, S., Zhou, R., Miyazaki, Y., Tachibana, E., Deshmukh, D. K., Kawamura, K., and Mochida, M.: Abundance, chemical structure, and light absorption properties of humic-like substances (HULIS) and other organic fractions of forest aerosols in Hokkaido, Sci. Rep., 12, 14379, 2022.</p> <p>Müller, A., Miyazaki, Y., Tachibana, E., Kawamura. K., and Hiura, T.: Evidence of a reduction in cloud condensation nuclei activity of water-soluble aerosols caused by biogenic emissions in a cool-temperate forest, Sci. Rep., 7, 1−9, 2017.</p>
Proteomics Approach to Differentiate Protein Extraction Methods in Sugar Beet Leaves
<p>Interest in alternative plant-based protein sources is continuously growing. Sugar beet leaves have the potential to satisfy that demand due to their high protein content. They are considered as agricultural waste and utilizing them as protein sources can bring them back to the food chain. In this study, isoelectric-point-precipitation, heat-coagulation, ammonium-sulfate precipitation, high-pressure-assisted isoelectric-point precipitation, and high-pressure-assisted heat coagulation methods were used to extract proteins from sugar beet leaves. A mass spectrometry-based proteomic approach was used for comprehensive protein characterization. The analyses yielded 817 proteins, the most comprehensive protein profile on sugar beet leaves to date. Although the total protein contents were comparable, there was a significant difference between the methods for low-abundance proteins. High-pressure-assisted methods showed elevated levels of proteins predominantly located in the chloroplast. Here we showed for the first time that the extraction/precipitation methods may result in different protein profiles that potentially affect the physical and nutritional properties of functional products.</p>
Data from: Direct PCR meets high-throughput sequencing - metabarcoding of chironomid communities without DNA extraction
<p>Abstract</p> <p>Metabarcoding is a valuable tool for investigating insect community compositions. However, high-throughput applications, such as for biomonitoring, require cost-effective and user-friendly procedures. To investigate if the time-consuming and labour-intensive DNA isolation step can be omitted in metabarcoding, we studied the difference in detection rates and individual read abundance using standard DNA isolation versus direct PCR protocols. Metabarcoding with and without DNA isolation was performed on artificially created communities with known composition as well as on natural communities both of the dipteran family Chironomidae to compare detection rates, individual read abundances and presence-absence community composition. The data sets include read abundances of all artificial and natural community samples. Compositions of the samples per data set are described in the respective README files. ASVs/OTUs and their respective DNA sequences are given. R Scripts for bioinformatic processing (dada2 for ASVs, JAMP for OTUs) are provided.</p> <p>Methods</p> <p>Chironomidae were retrieved from artificial ponds of the Eußerthal Ecosystem Research Station (EERES) near Landau, Germany, in 2019 and 2020. Adult specimens were collected from passive emergence traps. Chironomid samples were stored in 70% ethanol and later dried at 60°C. Samples were then finely ground using a bead mill. PCR-grade water was added to each tissue sample and thoroughly vortexed. The tissue-water mixes were frozen at -20°C until further analysis. Artificial communities were created by pipetting tissue-water mixes of individual chironomids. Natural communities from eight ponds and five consecutive sampling dates were selected to assess the applicability of the dPCR approach compared to standard metabarcoding protocols on natural chironomid communities. Four of the artificial ponds were treated with the mosquito control agent <em>Bacillus thuringiensis israelensis</em> (Bti). Tissue-water mixes of artificial and natural communities were both directly applied to PCR and used for DNA isolation. Illumina sequencing was performed and raw data were bioinformatically prepared. For more details see "Direct PCR meets high-throughput sequencing - metabarcoding of chironomid communities without DNA extraction" (Röder & Schwenk 2023). Raw sequences are available through GenBank SRA archive (BioProject accession number PRJNA989176). </p>
Datasets of Binary language changes extracted from the CCLAMP corpus
<p>Datasets which contain Dutch binary language changes, based on the C-CLAMP corpus. The corpus contains data from 1850 till 1999. For more information see also: https://github.com/julienijs/Predictability-of-language-change</p>
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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.