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30,947 results for “Profile”
Example file for taxonomic profiling
<p>This example file comprises 10,000 quality-controlled (processed with <code>Porechop</code> and <code>nanoq</code>) prokaryotic reads (fungal and other reads removed with <code>minimap2</code>), randomly selected from the R10.3 mock sample of <a href="https://lomanlab.github.io/mockcommunity/r10.html" target="_blank" rel="noopener noreferrer">Loman Lab Mock Community Experiments</a>.</p>
Laser ablation depth profile data for different IODP and ODP Sites and age intervals from Voigt et al. "Assessing the recrystallisation of planktonic foraminifera in Pelagic sediments and the reliability of Mg/Ca values with Laser Ablation (LA-) ICP-MS"
<p>These files contain the final processed laser ablation ICP-MS depth profiles of Mg/Ca and Sr/Ca through the shell walls of fossil planktonic foraminifera tests from specific time intervals from International Ocean Discovery Program (IODP) Sites U1334, U1335, U1336, U1337, U1338 and Ocean Drilling Program (ODP) SIte 1218 in the eastern equatorial Pacific.</p> <p>These data are from Voigt et al. "Assessing the recrystallisation of planktonic foraminifera in Pelagic sediments and the reliability of Mg/Ca values with Laser Ablation (LA-) ICP-MS", a manuscript submitted to the journal <em>Paleoceanography and Paleoclimatology</em></p>
Transcriptome profiling associated with CARD11 overexpres-sion in Colorectal Cancer implicates a potential role for Tumour Immune Microenvironment and Cancer pathways modulation via NF-κB
<p>tables for CARD11</p>
Transcriptional profiling of ARPE-19 cells infected with high capacity MCMV vector.
<p><span>To gain a detailed knowledge about the virus cycle of murine cytomegalovirus (MCMV) and its high capacity vector in cross-species settings, we analyzed the early and late viral and host transcriptome upon infection of human cells. ARPE-19, A549, and 911 cells (5.0×10<sup>5 </sup>cells/well) were infected in a 24-well format 4 h post-seeding with MCMV-wt or Q4-LRBAs-GLuc, a high capacity replication competent vector based on MCMV, at an MOI of 3. As control, we used infection of mouse embryonic fibroblast, which is the natural host of the wild type MCMV, treated similarly. Harvesting occurred at 8 hpi and 31 hpi through centrifugation at 1.000 g for 5 min. Cell pellets were washed with PBS, re-suspended in 350 µL of RLT buffer, and processed using the RNeasy Mini kit as per the manufacturer’s instructions in independent triplicates. At least 1.500 ng of RNA in a 30 µL volume was isolated and sent for Illumina next-generation sequencing, resulting in paired-end sequencing with a read length of 2×100 bp and a depth of 20 million reads. This submission contains the reads, we obtained analyzing the infections of ARPE-19 cells. The data sheet for the samples and the reference genomes (.gb), which we used in the analysis published in Riedl et al. Vaccines 2024 can be found in the REFERENCES_ARPE-19.zip folder. Please, find the control reads for uninfected cells in a separate upload entitled: Mock infected controls for transcriptional profiling of infections with high capacity MCMV vector (DOI 10.5281/zenodo.1250410).</span></p>
Transcriptional profiling of 911 cells infected with high capacity MCMV vector.
<p>To gain a detailed knowledge about the virus cycle of murine cytomegalovirus (MCMV) and its high capacity vector in cross-species settings, we analyzed the early and late viral and host transcriptome upon infection of human cells. ARPE-19, A549, and 911 cells (5.0×10<sup>5 </sup>cells/well) were infected in a 24-well format 4 h post-seeding with MCMV-wt or Q4-LRBAs-GLuc, a high capacity replication competent vector based on MCMV, at an MOI of 3. As control, we used infection of mouse embryonic fibroblast, which is the natural host of the wild type MCMV, treated similarly. Harvesting occurred at 8 hpi and 31 hpi through centrifugation at 1.000 g for 5 min. Cell pellets were washed with PBS, re-suspended in 350 µL of RLT buffer, and processed using the RNeasy Mini kit as per the manufacturer’s instructions in independent triplicates. At least 1.500 ng of RNA in a 30 µL volume was isolated and sent for Illumina next-generation sequencing, resulting in paired-end sequencing with a read length of 2×100 bp and a depth of 20 million reads. This submission contains the reads, we obtained analyzing the infections of 911 cells. The data sheet for the samples and the reference genomes (.gb), which we used in the analysis published in Riedl et al. Vaccines 2024 can be found in the REFERENCES_911.zip folder. Please, find the control reads for uninfected cells in a separate upload entitled: Mock infected controls for transcriptional profiling of infections with high capacity MCMV vector (DOI 10.5281/zenodo.1250410).</p>
Hyperspectral Oblique Plane Microscopy -- microparticles 3D & laser beam profile & hyperspectral image of UV adhesive
<p>Processed spectra data for microparticle classification and raw hyperspectral images from mixture of microparticle</p>
Greenhouse gases (GHG) profiling over Cyprus with Aircore
<p>AirCore is a unique system for sampling air and rendering vertical profiles of greenhouse gases (GHGs) concentrations from the surface up to the stratosphere. Carried out by a weather balloon filled with helium, it can reach altitudes up to 35 km. On the ascending phase the tube empties out (via expansion along with decreasing atmospheric pressure) and samples the ambient air on the descending phase (via compression). Once at ground level the sample is analysed to measure CO2 CH4 and CO concentrations using a Cavity Ring Down Spectrometer (CRDS).</p> <p>In collaboration with LSCE and the French Aircore (AC) program, AC activities have been initiated in June 2020 in Cyprus within the framework of the EMME-CARE (Eastern Mediterranean and Middle East – Climate and Atmosphere Research). The EMME region has been identified as a global climate change "hot spot". Climate and atmosphere research is now taking place with the establishment of a regional Centre of Excellence.</p> <p> </p> <p>This project has received funding rom the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 856612 and the Cyprus Government.</p> <p> </p>
Nicosia, Cyprus. Bedesten, west portal, moulding profile.
<p>Nicosia, Cyprus. Bedesten, west portal, moulding profile (JPEG format). As documented 1981.</p>
Dataset for SeRUN® running profiles
<p>This repository contains the data for the study entitled: "SeRUN® study: Development of running profiles using a mixed methods analysis".</p> <p>The purpose of this study was to determine profiles of urban runners based on socio-demographic, health, motivational, training characteristics and running-related beliefs and behaviours, through a mixed, exploratory, sequential study (quantitative-qualitative).</p> <p>Attached is the database used (.xlsx) in the quantitative stage and the 15 semi-structured interviews (.pdf) to the participants in the qualitative stage. </p>
Supplemental Material from: Immune Profiling of Thyroid Carcinomas Suggests the Existence of Two Major Phenotypes with Different Treatment Needs
<p>Supplemental data from: <strong>Immune Profiling of Thyroid Carcinomas Suggests the Existence of Two Major Phenotypes with Different Treatment Needs</strong></p>
Immune Profiling of Thyroid Carcinomas Suggests the Existence of Two Major Phenotypes with Different Treatment Needs: Supplemental Material
<p>Supplemental Material from: Immune Profiling of Thyroid Carcinomas Suggests the Existence of Two Major Phenotypes with Different Treatment Needs</p>
Supplemental Material from: Immune Profiling of Thyroid Carcinomas Suggests the Existence of Two Major Phenotypes with Different Treatment Needs
<p>Supplemental Data from "Immune Profiling of Thyroid Carcinomas Suggests the Existence of Two Major Phenotypes with Different Treatment Needs"</p>
FIGURE 1 in Interrelation of Proctodrilus species (Oligochaeta: Lumbricidae) with lessivage and layering in European soil profiles
FIGURE 1. Ecological species separation in the genus Proctodrilus: Soil profiles with two or three co-occurring species, each in a different layer. For further details see text. Bottom right: Generalized scheme of preferred occurrence of Proctodrilus species in the soil profile: close to layer boundaries and in the layer with finer particle size.
NMRD profiles of https://doi.org/10.1080/00268976.2018.1513175 fig1, fig2 and fig3
<p>- 1H R1 relaxation data for fig 1, fig 2 and fig 3 in https://doi.org/10.1080/00268976.2018.1513175 as .txt files</p> <p>- see filenames for details</p> <p>- column labeling is in the header</p>
Transcriptome profiling of derived-hepatocyte progenitors from human iPSCs with nanoCAGE - part 1 - sequencing data (FASTQ files)
<p>This repository contains raw sequencing data (FASTQ files) produced from Illumina MiSeq run IDs "170630_M00528_0292_000000000-B9JY8" (aka "NC_LIMMS") and "180221_M00528_0334_000000000-B6PJM" (aka "NC_LIMMS2") . Sequencing libraries were prepared following the latest version of the nanoCAGE protocol (Poulain et al., Methods Mol Biol. 2017;1543:57-109. doi: 10.1007/978-1-4939-6716-2_4). They respectively contain a mix of 24 ("NC_LIMMS") and 18 ("NC_LIMMS2") samples tagged by specific barcode sequences at the 5'-ends (see tables below). The tagmentation step included in the protocol was performed using an equimolar mix of 12 Nextera XT N-series index primers (N701 to N712), therefore "NNNNNNNN" was indicated as index sequence on the Illumina Sample Sheet for the demultiplexing (see tables below). Libraries were sequenced paired-end on Illumina MiSeq system with the MiSeq Reagent Kit v3 (150 cycles: 58 cycles used for READ1, 8 cycles used for the Index, and 84 cycles used for READ2). Genomic alignments (BED files) of paired-end reads on human genome assemblies hg19 and hg38 using the MOIRAI pipeline (Hasegawa et al. BMC Bioinformatics 2014 May 16;15:144. doi: 10.1186/1471-2105-15-144) were deposited at Zenodo under the following Digital Object Identifier: 10.5281/zenodo.1017276.</p> <p> </p> <p><em><strong>"170630_M00528_0292_000000000-B9JY8" ("NC_LIMMS") :</strong></em></p> <p><strong>ID Sample_name Barcode_number Barcode_sequence Index_sequence</strong></p> <p>1 iPSC_control_rep1 4 ACAGAT NNNNNNNN</p> <p>2 iPSC_control_rep2 24 ATCGTG NNNNNNNN</p> <p>3 iPSC_control_rep3 31 CACGAT NNNNNNNN</p> <p>4 S3P1_OK_rep1 36 CACTGA NNNNNNNN</p> <p>5 S3P1_OK_rep2 46 CTGACG NNNNNNNN</p> <p>6 S3P1_OK_rep3 63 GAGTGA NNNNNNNN</p> <p>7 S4P1_OK_rep1 79 GTATAC NNNNNNNN</p> <p>8 S4P1_OK_rep2 92 TCGAGC NNNNNNNN</p> <p>9 S4P1_OK_rep3 9 ACATGA NNNNNNNN</p> <p>10 S4P2_OK_rep1 21 ATCATA NNNNNNNN</p> <p>11 S4P2_OK_rep2 33 CACGTG NNNNNNNN</p> <p>12 S4P2_OK_rep3 45 CGATGA NNNNNNNN</p> <p>13 S1P1_rep1 57 GAGATA NNNNNNNN</p> <p>14 S1P1_rep2 69 GCTCTC NNNNNNNN</p> <p>15 S1P1_rep3 81 GTATGA NNNNNNNN</p> <p>16 S3P1_FAILED_rep1 93 TCGATA NNNNNNNN</p> <p>17 S3P1_FAILED_rep2 11 AGTAGC NNNNNNNN</p> <p>18 S3P1_FAILED_rep3 23 ATCGCA NNNNNNNN</p> <p>19 S4P1_FAILED_rep1 35 CACTCT NNNNNNNN</p> <p>20 S4P1_FAILED_rep2 47 CTGAGC NNNNNNNN</p> <p>21 S4P1_FAILED_rep3 59 GAGCGT NNNNNNNN</p> <p>22 S4P2_FAILED_rep1 71 GCTGCA NNNNNNNN</p> <p>23 S4P2_FAILED_rep2 83 TATAGC NNNNNNNN</p> <p>24 S4P2_FAILED_rep3 95 TCGCGT NNNNNNNN</p> <p> </p> <p><em><strong>"180221_M00528_0334_000000000-B6PJM" ("NC_LIMMS2"):</strong></em></p> <p><strong>ID Sample_name Barcode_number Barcode_sequence Index_sequence</strong></p> <p>25 PETRI_rep1 04 ACAGAT NNNNNNNN</p> <p>26 PETRI_rep2 24 ATCGTG NNNNNNNN</p> <p>27 PETRI_rep3 31 CACGAT NNNNNNNN</p> <p>28 BIOCHIP_E_rep1 6 CACTGA NNNNNNNN</p> <p>29 BIOCHIP_M_rep1 46 CTGACG NNNNNNNN</p> <p>30 BIOCHIP_S_rep1 63 GAGTGA NNNNNNNN</p> <p>31 BIOCHIP_E_rep2 79 GTATAC NNNNNNNN</p> <p>32 BIOCHIP_M_rep2 92 TCGAGC NNNNNNNN</p> <p>33 BIOCHIP_S_rep2 09 ACATGA NNNNNNNN</p> <p>34 BIOCHIP_E_rep3 21 ATCATA NNNNNNNN</p> <p>35 BIOCHIP_M_rep3 33 CACGTG NNNNNNNN</p> <p>36 BIOCHIP_S_rep3 45 CGATGA NNNNNNNN</p> <p>37 HEPATOCYTES_rep1 57 GAGATA NNNNNNNN</p> <p>38 HEPATOCYTES_rep2 69 GCTCTC NNNNNNNN</p> <p>39 iPSC_control_rep1-2 81 GTATGA NNNNNNNN</p> <p>40 BIOCHIP_E_rep2-2 93 TCGATA NNNNNNNN</p> <p>41 BIOCHIP_M_rep1-2 11 AGTAGC NNNNNNNN</p> <p>42 BIOCHIP_S_rep2-2 23 ATCGCA NNNNNNNN</p>
Supporting data and libraries used for statistical analysis for the article: "Targeted metabolomic profiling reveals differences in plasma metabolome of ovalbumin sensitised guinea pigs"
<p>Supporting data and libraries used for statistical analysis for the article: "Targeted metabolomic profiling reveals differences in plasma metabolome of ovalbumin sensitised guinea pigs"</p>
FIGURE 8 in The RNA-seq approach to discriminate gene expression profiles in response to Beauveria bassiana and Micrococcus luteus microbial pathogens on Actias selene (Lepidoptera: Saturniidae)
FIGURE 8. Phylogenetic analysis was performed using the MEGA (version 5.0) program based on the four different amino acid sequences from various insects. The phylogenetic tree was constructed using the neighbor-joining algorithm method and bootstrap values (1000 repetitions) of the branches are indicated. The HSP90s from other organisms are: Antheraea pernyi (APX61061.1), Helicoverpa armigera (ATB54999.1), Spodoptera litura (ADK55517.2), Mythimna separata (ATN45250.1), Danaus plexippus plexippus (OWR53421.1), Bombyx mori (NP_001036876.1), Apis mellifera (NP_001153536.1), Plutella xylostella (NP_001296043.1), Drosophila melanogaster (NP_523899.1), Nilaparvata lugens (XP_022202749.1), Bicyclus anynana (XP_023945769.1);The PGRPs from other organisms are: Antheraea pernyi (AME17978.1), Samia ricini (BAF03522.1), Trichoplusia ni (XP_026737257.1), Helicoverpa armigera (AHK59818.1), Antheraea mylitta (ABG72709.1), Manduca sexta (AAO21509.1), Spodoptera litura (XP_022825445.1), Bombyx mori (NP_001036836.1);The Ras homolog genes from other organisms are: Spodoptera litura (XP_022819713.1), Vanessa tameamea (XP_026494920.1), Zootermopsis nevadensis (XP_021927562.1), Drosophila miranda (XP_017145574.1), Drosophila persimilis (XP_002015385.2), Nasonia vitripennis (XP_008209835.1); The MyD88s from other organisms are: Diaphorina citri (NP_001316117.1),Tribolium castaneum (XP_008190563.1), Drosophila melanogaster (NP_610479.1), Nasonia vitripennis (XP_008206894.1), Ceratitis capitata (XP_020716287.1), Bactrocera dorsalis (XP_011205590.1), Bombus terrestris (XP_003394201.1), Bombyx mori (XP_004921572.1), Antheraea pernyi (AHH80650.1).
FIGURE 7 in The RNA-seq approach to discriminate gene expression profiles in response to Beauveria bassiana and Micrococcus luteus microbial pathogens on Actias selene (Lepidoptera: Saturniidae)
FIGURE 7. RT-qPCR analysis of 11 immune-related DEGs in ML vs. PBS group. The y-axis shows relative expression levels (Blue colour represents the PBS control group and yellow colour represents the M. luteus treatment group, * p <0.05, **p <0.01).
FIGURE 6 in The RNA-seq approach to discriminate gene expression profiles in response to Beauveria bassiana and Micrococcus luteus microbial pathogens on Actias selene (Lepidoptera: Saturniidae)
FIGURE 6. RT-qPCR analysis of 19 immune-related DEGs in Bb vs. PBS group. The y-axis shows relative expression levels (Blue colour represents the PBS control group and red colour represents the B. bassiana treatment group, * p <0.05, **p <0.01).
FIGURE 4 in The RNA-seq approach to discriminate gene expression profiles in response to Beauveria bassiana and Micrococcus luteus microbial pathogens on Actias selene (Lepidoptera: Saturniidae)
FIGURE 4. GO classification of annotated differentially expressed genes in Bb vs. PBS group. The DEGs were categorized into 41 functional groups and were summarized in three main categories: biological process, cellular component and molecular function. The X-axis represents the number of genes noted on the GO item, and the Y-axis represents the GO functional classification.
ScienceDex guides
Understand access before you commit
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.