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  • Nuclear Magnetic Resonance (1D 1H and 2D 1H-1H TOCSY) and ultrahigh resolution mass spectrometry (FT-ICR-MS) data for pyrogenic dissolved organic matter before and after photo-irradiation. Full materials and methods, as well as interpretations, can be found in the linked manuscript.
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  • The results of high-velocity ballistic impact upon fused-double-3D-mat sandwich composite panels
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  • The data were collected based on the latest update on March 27, 2020. Data were employed to calculate the probabilities of death, recovery in each country, development of K-means clustering models and correlation among attributes.
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  • Original data for the evaluation of the study "Evaluating the effectiveness of low volume spray application using air-assisted knapsack sprayers in wine vineyards'
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  • The following were the reserch questions;Does rice variety affect the proximate composition, functional properties and cooking characteristics of rice flour? and Do different varieties of rice have favorable proximate analysis, functional properties and cooking characteristics for product development?Proximate composition, functional properties and cooking characteristics of rice flour namely moisture , ash, crude protein , swelling index, hot paste and gelatinization temperature for the following rice varieties: Lifuwu, Senga, Nerica, Nunkile, Wambone, Faya, Kilombero, Mpheta, Mpatsa, Nazolo, Mtupatupa, Kayanjamalo and Katete were determined using official analytical methods. Katete was high in protein (7.47g/100g). MC (13.04g/100g) and SI (5.41g/g) were highest in Faya 14M69. Kayanjamalo formed a thick paste as compare to other varieties. Nerica 4, Faya14M69, Mtupamtupa, Kilombero, Nunkile, Nanzolo and Mpatsa had an intermediate GT (70-74oC), while Mpheta, Kayanjamalo, Katete, Senga, Wambone and Lifuwu had high GT (74.5 -80oC). Rice with intermediate GT break easily during cooking.
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  • Antigen-induced arthritis (AIA) was induced in C57BL6 mice by immunization with methylated bovine serum albumin (mBSA) and subsequent intra-articular injection of mBSA. Non-immunized (NI) mice were injected with phosphate buffered saline at all timepoints. Ten days after intra-articular injection knee joints were harvested and synovial cells were released by collagenase type IV injection into joint cavitied, and fluorescence-activated cell sorting (FACS) was used to sort 200-500 TER119–CD31–CD45–CD51+CD200+CD105– cells from NI mice (NI 200+, Sample 1-4) and mice with AIA (AIA 200+, Sample 5-9) and, TER119–CD31–CD45–CD51+CD200–CD105+ cells from mice with AIA (AIA 105+, Sample 11-14) using BD FASCAria IIu. For each sample, 200-500 live (DAPI–) cells were sorted directly into cell lysis buffer from Smartseq v4 Ultra® Low Input RNA Kit for Sequencing (TakaRa, Kyoto, Japan). ERCC RNA Spike-In Mix (Invitrogen, Thermo Fisher Scientific, Waltham, MA, USA) were added to lysed cell samples. cDNA amplicons were created using SmartSeq v4 Ultra® Low Input RNA Kit for Sequencing (TakaRa) and libraries were prepared using Nextera XT DNA Library Preparation Kit (Illumina, San Diego, CA, USA). Libraries were sequenced using NextSeq 500 (Illumina) instrument and raw files are available at GSE148130. After quality control of raw reads, reads were trimmed, aligned, assembled and quantified using cutadapt (Martin, EMBnet Journal, 2011), HISAT2 (Kim, Nat Methods, 2015) and StringTie (Pertea, Nat Biotecnol, 2015), and normalized and filtered in egdeR package (Robinson, Bioinformatics, 2010). Limma voom (Law, Genome Biol, 2014) was used to detect differentially expressed genes. Genes with absolute fold change (FC) > 1.5 and p value (Benjamini-Hochberg) < 0,05 were considered differentially expressed and are listed in the tables, together with their FC, expressed as log2FC, and adjusted p value (Benjamini-Hochberg). The table provides Ensembl gene ID, Entrez gene ID, MGI gene symbol, gene biotype, chromosome name, start and end position of all differentially expressed genes. It also contains expression values, expressed as log2 counts per million mapped reads (CPM), for each sample. Table 1 contains comparison of NI 200+ and AIA 200+, Table 2 NI 200+ and AIA 105+ and Table 3 AIA 200+ and AIA 105+.
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  • 1. Original data record of anti-inflammatory effect 2. MS of volatile oil 1
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    • Document
  • The dataset provides information on coarse root (≥ 20mm) and root collar (area just below the soil line where the roots join the main stem) biomass, for trees (stem diameter ≥ 10cm) in ecotone forests located on the eastern of Maracá Ecological Station, northern Brazilian Amazonia. This area represents an ecotone zone dominated by mosaics of ombrophilous and seasonal forests. Our sampling took into consideration 65 trees characterized as natural treefalls (live trees toppled by wind or individuals that were physically felled by other trees that fell against them) observed in the PPBio (Biodiversity Research Program) 25-km2 research grid installed in the eastern of Maracá Island. The selection criteria for including trees in the sample took into consideration a careful inspection in order to choose only recently fallen individuals (live or dead) that were in a good state of preservation, discarding all individuals with hollow trunks, broken stems, broken canopies or with signs of rotting, as specified in Barbosa et al. (2019). Acta Amazonica 49: 81-90. The fieldwork was carried among July/2015 and October/2016 when we collected biometric measures (total height and stem diameter) and estimate the coarse root/collar root biomass by indirect measures for each individual tree. All sampled trees had most of the coarse roots exposed (≥ 20mm), being possible to measure each one (diameter and total lenght) and estimate its individual volume (m3). The sum of each individual volume (= total volume in m3) was multiplied by its specific gravity (g cm-3; roots) to estimate the coarse root biomass (Mg) by each tree. The root collar biomass was estimated using the measurements of the collar lenght (distance between the soil line and the first insertion of coarse roots) and the stem diameter. So, we calculated the individual volume (m3) of each tree and estimated its biomass applying the specific gravity (g cm-3; stem). Our dataset has one files (coarse_root) where are presented the code for each sampled tree (treeID), associated to its taxonomic identification (family; species), sampling date, altitude (m a.s.l.), POM (point of measure of stem diameter), stem diameter (cm), total height (m), root collar lenght (cm), specific gravity (g cm-3; stems and roots), and estimates for coarse root and collar root biomass (Mg). The dataset was supported by the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq - Brazil), project “Crescimento e mortalidade de árvores em florestas ecotonais de Roraima: efeito das condicionantes ambientais e da variabilidade climática” (Proc. CNPq n. 403591/2016-3). The CNPq also provided a fellowship for R.I. Barbosa (CNPq 304204/2015-3). P.N. Ramirez-Narvaez and C.D.A. Villacorta were supported by postgraduate fellowships from the Organization of American States (OAS). Instituto Chico Mendes de Conservação da Biodiversidade (ICMBio) provided authorization for the study (SISBIO n. 52017).
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  • The research hypothesis is that clayish and muddish material collected at open pit mine in Cerro Matoso Ni-laterite deposit, correspond to marine sediments associated at hydrothermal systems instead of clays formed by the peridotite weathering. The data shows depleted δ13C and δ18O values in bulk sediments and carbonates that composed a succession of claystone and mudstone overlaying peridotites, sign a reducing environment with the influence of alkaline pH, and bacterial activity. The fractionation factor following the Zhang et al. (2001) equation, indicate in different set of samples precipitation temperatures over 50ºC and reaching 160ºC which fit with a hydrothermal activity instead of supergene groundwaters during the mineral precipitation. Different modeling of δ13C show the reacted fraction assuming FeCO3 and CH4 as products 1 and 2 respectively, in a H2S pool, and will confirm an environment rich in CH4 for the siderite formation.Isotopic analysis of siderite was accomplished by reacting a subsample (10–48 mg dry weight) with 100% phosphoric acid in a Pyrex vessel at 75°C. Reaction was terminated after 2 days, at which time CO2 was no longer produced, and the reaction was considered completed. The evolved CO2 was used for calculation of siderite abundance in the subsample and for analysis of oxygen and carbon isotope compositions. Isotope measurements were carried out at the Stable Isotope Laboratory of the Estación Experimental del Zaidín (CSIC, Granada, Spain). Isotopic ratios were measured by a Finnigan MAT 251 mass spectrometer. To interpret dataset the calculation was done first for all isotope results, and then grouping the data δ13C or δ18O, according to the lithofacies to which they correspond: mound facies or tabular bed facies, the later correspond to metalliferous sediments. Data are formulated, so it is possible to change the constant KIE, delta 2 or delta 1 to see how is the graphs changes. Graphs also are linked with data. For δ18O fractionation factor all data are formulated to obtain δ18O and T in Kelvin degrees in the first table and the according with their affinity (siderite, clasystone or metalliferous) in tables below.
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  • Dataset for research study "Gender Stereotypes in Impression Formation." Participants were randomly assigned to one of three conditions: stereotype-contradicting, stereotype-confirming, and neutral. All groups completed a mental imagery task that either contradicted, confirmed, or was neutral to gender stereotypes about physicians. The participants then completed a first impressions task, in which they chose between headshots of a man and a woman and decided who was most likely to be the physician. Participants’ judgements and response latency were recorded. Comparisons were made between the responses and response latency both across age and within the conditions across groups, as well as overall responses and response latency among the three groups. In addition, the descriptive data from the mental imagery task were analyzed.
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