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Dataset results
600 results for “Contamination”
Combating viral contaminants in CHO cells by engineering innate immunity
GEO Series GSE119379. Cricetulus griseus. 36 samples. Type: Expression profiling by high throughput sequencing.
Effects of the anti-microbial contaminant triclocarban on the reproductive function and ovarian transcriptome of the fathead minnow (Pimephales promelas)
GEO Series GSE64291. Pimephales promelas. 24 samples. Type: Expression profiling by array.
Analysis of the physiological status of Geobacter uraniireducens growing in uranium-contaminated subsurface sediments
GEO Series GSE10920. Geotalea uraniireducens Rf4. 6 samples. Type: Expression profiling by array.
Genome-wide transcriptional changes of Sphingomonas wittichii RW1 during inoculation and growth in contaminated sand [experment 2]
GEO Series GSE54815. Rhizorhabdus wittichii RW1. 15 samples. Type: Expression profiling by array.
Differences in gene expression of Mustard and Kenny mutants relative to control w1118 flies 24 hours after access to food contaminated with Vibrio cholerae
GEO Series GSE35439. Drosophila melanogaster. 9 samples. Type: Expression profiling by array.
Questioning the purity of the media - Extracellular small non-coding RNA contaminants in fetal bovine serum and serum-free media
GEO Series GSE120594. Bos taurus; other sequences. 9 samples. Type: Non-coding RNA profiling by high throughput sequencing.
DNA methylation profile of the Mediterranean fin whale (Balaenoptera physalus) exposed to organochlorine contaminants.
GEO Series GSE153525. Balaenoptera physalus. 6 samples. Type: Methylation profiling by high throughput sequencing.
TRANSCRIPTOMIC ANALYSIS OF BOTTLENOSE DOLPHIN (Tursiops truncatus) SKIN BIOPSIES TO ASSESS THE EFFECTS OF EMERGING CONTAMINANTS ON A TOP PREDATOR IN THE MEDITERRANEAN SEA
GEO Series GSE69917. Tursiops truncatus. 8 samples. Type: Expression profiling by array.
Polyomic elucidation of the 9,10-anthraquinone biodegradation pathway by a newly isolated oxy-PAH degrading specialist from PAH-contaminated soil
GEO Series GSE199781. Sphingobium sp. AntQ-1. 6 samples. Type: Expression profiling by high throughput sequencing.
Electron acceptor-dependent identification of key anaerobic toluene degraders at a tar-oil contaminated aquifer by Pyro-SIP
GEO Series GSE25449. unidentified. 2 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Genome-wide transcriptional changes of Sphingomonas wittichii RW1 during inoculation and growth in contaminated sand
GEO Series GSE54816. Rhizorhabdus wittichii RW1. 33 samples. Type: Expression profiling by array.
Paternal exposure to Arctic contaminants alters the sperm epigenome and induces negative pregnancy outcomes transgenerationally
GEO Series GSE109056. Rattus norvegicus. 48 samples. Type: Methylation profiling by high throughput sequencing.
Physiological change under OsHV-1 contamination in Pacific oyster Crassostrea gigas through massive mortality events on fields
GEO Series GSE46249. Magallana gigas. 16 samples. Type: Expression profiling by array.
Microarray analysis of gene response to contaminant accumulation in wild largescale suckers
GEO Series GSE41016. Catostomus snyderi; Catostomus macrocheilus. 21 samples. Type: Expression profiling by array.
Epigenetic Programming Alterations in Alligators from Environmentally Contaminated Lakes
GEO Series GSE82318. Alligator mississippiensis. 4 samples. Type: Methylation profiling by genome tiling array.
Effects of cross-fostering and developmental exposure to mixtures of environmental contaminants on hepatic gene expression in prepubertal 21 days old and adult male Sprague-Dawley rats III.
GEO Series GSE109015. Rattus norvegicus. 8 samples. Type: Expression profiling by array.
The Influence of Stellar Contamination on the Interpretation of Near-Infrared Transmission Spectra of Sub-Neptune Worlds around M-Dwarfs
<p>Supplementary Figures displaying posterior probability distributions of all simulation scenarios discussed in <em><strong>The Influence of Stellar Contamination on the Interpretation of Near-Infrared Transmission Spectra of Sub-Neptune Worlds around M-dwarfs. </strong></em></p> <p>Arxiv link to the paper: https://arxiv.org/abs/1912.04389</p> <p>The directory structure is as follows: </p> <p>1) 30ppm_JWST_NIRISS_BIAS: Cases with varying levels of stellar contamination and varying planetary atmospheric scenarios (clear/cloudy/high-metallicity) over the JWST NIRISS-like bandpass with 30ppm spectro-photometric precision. Here we show that there is a bias incurred in the retrieval results when fitting with a model not accounting for the stellar contamination correction.</p> <p>2) 30ppm_JWST_NIRCAM_BIAS: Case of 14% spot and 63% faculae over the JWST-NIRCam like bandpass with 30ppm precision for a cloudy atmosphere planet.</p> <p>3) JWST_NIRISS_VARY_PRECISION: Cases with varying levels of stellar contamination for a high-metallicity+cloudy planetary atmosphere exploring different JWST precisions from 15-120ppm. Here we show that the bias incurred when retrieving with the uncorrected atmosphere model persists over our grid of JWST sensitivities with increasing levels of stellar contamination. However, this bias is not noteworthy for spot-covering fractions below 1%. </p> <p>4) 30ppm_JWST_NIRISS_NO_IMPROVEMENT_WITH_JOINT_RETRIEVAL_OF_STELLAR_SPECTRUM: Case of 12% spot covering fraction with a high-metallicity+cloudy planetary atmosphere (with 30ppm precision over NIRISS-like bandpass) shows no improvement in the precision of planetary temperature, metallicity, and carbon-to-oxygen ratio despite acquiring improved constraints on the stellar contamination parameters directly from the disk-integrated spectrum of the star. </p> <p>5) 30ppm_JWST_NIRISS_STELLAR_MODEL_DIFF_BIAS: Case of 12% spot covering fraction with a high-metallicity+cloudy planetary atmosphere (with 30ppm precision on the NIRISS-like bandpass range) incorporating "realistic" stellar contamination with a different stellar model. Here we show that there is a bias that arises in the retrievals due to generational stellar model differences (also mimicking stellar model-data differences in our example case) despite including the correction for stellar contamination. Our work suggests that planetary parameter retrievals, despite correcting for stellar contamination are heavily dependent on an accurate characterization of the stellar photosphere. </p> <p>*** In addition to the supplementary figures in the above mentioned directories, you can also access a high-resolution version of Figure 10 from the paper, accompanied by the full retrieval corner plot illustrating bias induced due to stellar model differences. </p> <p>*These figures have made use of the pygtc plotting routine for displaying posterior probability distribution corner plots (Bocquet et al, (2016), pygtc: beautiful parameter covariance plots (aka. Giant Triangle Confusograms), Journal of Open Source Software, 1(6), 46, doi:10.21105/joss.00046)</p>
Data for "Avoidance behavior of juvenile common toads (Bufo bufo) in response to surface contamination by different pesticides"
<p>Data for "Avoidance behavior of juvenile common toads (<em>Bufo bufo</em>) in response to surface contamination by different pesticides"</p>
Data from: Effect of chemical additives on electrokinetic remediation of Cr-contaminated soil coupled with a permeable reactive barrier
Chromium(Cr) contamination in soil, especially Cr(VI) has a serious threat to the environment and human health. The electrokinetic remediation (EKR) is a promising technology to remediate the Cr(VI). Therefore, EKR coupled with a permeable reactive barrier (PRB) was used to treat the Cr(VI) contaminated soil in this study. The CTMAB-Z, a modified zeolite (prepared by cetyl trimethyl ammonium bromide) alone and a mixture of CTMAB-Z and Fe(0) were used as PRB-1 and PRB-2 reactive media, respectively. The effect of chemical enhancers/additives i.e. dl-tartaric acid and tween 80 on EKR of Cr(VI) was also analysed in the contrasting experiments. While, the effects of repair time, voltage gradient and dl-tartaric acid concentration on Cr(VI) remediation were investigated by utilizing multifactor orthogonal experiment which was based on contrasting experiments. The contrasting experiment results showed that the highest Cr(VI) removal rate(66.27%) and leaching efficiency(71.29%) were observed in the experimental group which had dl-tartaric acid and PRB-2. Furthermore, the multifactor orthogonal experiment results had depicted that the highest Cr(VI) removal rate(80.92%) and leaching efficiency(85.25%) were achieved after treating the samples at a voltage gradient of 2.5 v/cm for 8 days in presence of 0.15 M concentration of dl-tartaric acid. This study demonstrated that Cr(VI) remediation through EKR process could be significantly enhanced by the use of PRB and additives.
Data from: Evaluation of plant contamination in metabarcoding diet analysis of a herbivore
Fecal DNA metabarcoding is currently used in various fields of ecology to determine animal diets. Contamination of non-food DNA from complex field environments is a considerable challenge to the reliability of this method but has rarely been quantified. We evaluated plant DNA contamination by sequencing the chloroplast trnL P6 loop region from food-controlled geese feces. The average percentage of contaminant sequences per sample was 1.86%. According to the results of generalized linear models, the probability of contamination was highest in samples placed in wet soil. The proportion of contaminant sequences was lowest at the earliest sampling point and was slightly higher in samples placed in open conditions. Exclusion of rare OTUs (operational taxonomic units) was effective for obtaining reliable dietary data from the obtained sequences, and a 1% cutoff reduced the percentage of contaminated samples to less than 30%. However, appropriate interpretation of the barcoding results considering inevitable contamination is an important issue to address. We suggest the following procedures for fecal sampling and sequence data treatment to increase the reliability of DNA metabarcoding diet analyses: (i) Collect samples as soon as possible after deposition, (ii) avoid samples from deposits on wet soil, and (iii) exclude rare OTUs from diet composition estimations.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.