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1,184 results for “conversion”
Keratinocyte Wnt5β promotes dermal adipogenesis by simultaneously regulating adipocyte precursor cell conversion and adipogenic signaling
GEO Series GSE239791. Mus musculus. 2 samples. Type: Expression profiling by high throughput sequencing.
The human transcription factor occupancy landscape viewed using high-resolution in situ base-conversion strand-specific single-molecule chromatin accessibility mapping
GEO Series GSE301497. Homo sapiens. 8 samples. Type: Other.
ZMO1162 Overexpression Boosts Phenolic Aldehyde Conversion and Ethanol Production of Zymomonas mobilis ZM4
GEO Series GSE199182. Zymomonas mobilis subsp. mobilis ZM4 = ATCC 31821. 18 samples. Type: Expression profiling by high throughput sequencing.
Direct conversion of rod to cone-like photoreceptors by NRL knockdown with cell-penetrating siRNA
GEO Series GSE206100. Mus musculus. 12 samples. Type: Expression profiling by high throughput sequencing.
Transcriptomic and epigenetic profiling of adrenergic and mesenchymal neuroblastomas with cell state conversion
GEO Series GSE299174. Homo sapiens. 0 samples. Type: Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by high throughput sequencing.
Direct Conversion of Mouse Fibroblasts into Neural Stem Cells by Chemical Cocktail Requires Stepwise Activation of Growth Factors and Nup210
GEO Series GSE108300. Mus musculus. 13 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Direct conversion of adult skin fibroblasts to endothelial cells by defined factors
GEO Series GSE50071. Mus musculus. 12 samples. Type: Expression profiling by array.
Direct conversion of rodent fibroblasts into myelinating induced Schwann cells
GEO Series GSE78712. Rattus norvegicus. 9 samples. Type: Expression profiling by high throughput sequencing.
The DNA modification is dynamic during the conversion from fibroblasts to neurons [Methylation]
GEO Series GSE88868. Mus musculus. 6 samples. Type: Methylation profiling by high throughput sequencing.
The DNA modification is dynamic during the conversion from fibroblasts to neurons [Hydroxymethylation]
GEO Series GSE88867. Mus musculus. 8 samples. Type: Methylation profiling by high throughput sequencing.
Conversation analysis of three cancer multidisciplinary teams
<p>Anonymised transcripts of individual patient-discussions in multidisciplinary meetings from across three cancer teams. </p>
Stress shift in noun-verb conversion pairs: Data
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How methylation affects S2(ππ∗) internal conversion in the simplest linear α,β-unsaturated carbonyl: a non-adiabatic dynamics perspective
<p><strong>critical_points_geometries.zip</strong></p> <p>This repository contains the XYZ files of the critical points computed at the hh-TDA-<span class="math-tex">\(\omega\)</span>PBEh/6-31G(d,p) (hh-TDA) and SA5-XMS(Im=0.3)-CASPT2(10,9)/cc-pVDZ (XMSPT2) levels of theory. Also, exmaple input files for MECI and geometry optimizations for TeraChem (hh-TDA level) and BAGEL (XMS-CASPT2).</p> <p>Notation:</p> <ul> <li>AC - Acrolein </li> <li>CR - Crotanaldehyde</li> <li>MVK - Methylvinylketone </li> <li>MA - Methacrolein </li> <li>S0min - Minimum of S0 electronic state</li> <li>S1min - Minimum of S1 electronic state</li> <li>S2min - Minimum of S2 electronic state</li> <li>S1S0_MECI - Minimum energy conical intersection at S1 and S0 electronic states intersection</li> <li>S2S1_MECI - Minimum energy conical intersection at S2 and S1 electronic states intersection</li> <li>NTpyr, CCpyr, N.... relates to the label of different MECI structures. Information regarding this nomenclature can be found in the Supporting Information of the paper.</li> </ul> <p>Computational details and extra information regarding these structures can be found in the main text and supporting information of the article. </p> <p>------------------------------------------------------------------------------------------------------------------------------------------</p> <p><strong>AIMS_ICs.zip</strong></p> <p>This repository contains all the initial conditions (ICs) sampled to perform the ab-initio multiple spawning dynamics simulations for acrolein (AC), crotanaldehyde (CR), methylvinylketone (MVK), and methacrolein (MA).</p> <p>For AC, CR, MVK and MA, 50 ICs were randomly sampled from a narrow window of 0.05 eV around 6.20 eV (from the calculated absorption spectra)</p> <p>For CR, 10 additional ICs were also sampled in addition to the 50, to ensure that the observed stalling in population decay around 600-900fs in not due to undersampling.</p> <p>All IC files are named as ICXXXX.dat where XXXX = randomly selected IC number</p> <p>Each IC file contains the cartesian coordinates in Bohr and the corresponding nuclear velocities in Bohr/atomic unit.</p> <p> </p>
Dataset for "Spatiotemporal impacts of land conversion on avian functional and phylogenetic diversities''
<p>The dataset was obtained with information from:</p> <ol> <li> <p>The National Land Cover Database (NLCD), free online available, and released by Dewitz and U.S. Geological Survey (2019) (<a href="https://www.usgs.gov/centers/eros/science/national-land-cover-database">https://www.usgs.gov/centers/eros/science/national-land-cover-database</a>)</p> </li> <li> <p>The North American Breeding Bird Survey Dataset, free online available, and released by Ziolkowski Jr. DJ, Lutmerding M, Aponte VI, and Hudson M-A R (2022) North American Breeding Bird Survey Dataset 1966 - 2021: U.S. Geological Survey data release (<a href="https://www.usgs.gov/centers/eesc/science/north-american-breeding-bird-survey">https://www.usgs.gov/centers/eesc/science/north-american-breeding-bird-survey</a>)</p> </li> <li> <p>The AVONET Dataset, published by Tobias JA, Sheard C, Pigot AL, Devenish AJM, Yang J, Sayol F et al. (2022) AVONET: morphological, ecological and geographical data or all birds. Ecology Letters, 25, 581– 597 (<a href="https://onlinelibrary.wiley.com/doi/full/10.1111/ele.13898">https://onlinelibrary.wiley.com/doi/full/10.1111/ele.13898</a>)</p> </li> <li> <p>Data on life history traits of birds, assembled by the hosting lab members (including myself)</p> </li> <li> <p>Maximum clade credibility phylogenies (CCP) based on the pseudo-posterior distribution of trees available at www.birdtree.org, developed by the hosting lab.</p> </li> </ol> <p>Data was extracted and structured to be used to reach the results from the manuscript "<strong>Spatiotemporal impacts of land conversion on avian functional and phylogenetic diversities</strong>". </p> <p>This manuscript is part of the second and fifth Working Packages (WP2 and WP5) of the project ENVIRON_CHANGE, financed by the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Grant Agreement No. 101030199. The aim of the WP2 was to estimate changes in phylogenetic and functional diversities across land use change and describe its temporal dynamics. The WP5 was dedicated to disseminate and communicate the research.</p>
IndEmoVis: An Indian Multimodal Audio-Visual Emotion Dataset for Conversational Interactions
<p>The dataset comprises a total of 122 videos, involving 61 participants, consisting of 25 females and 36 males, with ages ranging from 18 to 21 years. Each video captures a conversational interaction between two participants, with two cameras mounted on the table to record separate videos of the speaker and the listener. These recorded videos are subsequently segmented into clips, each showcasing different emotions expressed by the participants. The dataset comprises a total of 122 videos, involving 61 participants, consisting of 25 females and 36 males, with ages ranging from 18 to 21 years. Each video captures a conversational interaction between two participants, with two cameras mounted on the table to record separate videos of the speaker and the listener. These recorded videos are subsequently segmented into clips, each showcasing different emotions expressed by the participants. The data collection process involved conversational interactions between pairs of participants within a controlled environment. The recordings captured a combination of spontaneous and guided conversations. The dataset consists of 45 recordings of guided conversations and 77 recordings of natural conversations, resulting in a total of 216 video clips portraying various emotions from the guided interactions and 379 video clips displaying emotions from the natural conversations. To facilitate further analysis and research, the video clips were further processed to extract image frames. From each clip, the frame with the highest intensity, capturing the peak expression of the corresponding emotion, was selected for subsequent analysis. These peak images serve as representative snapshots of the emotional expressions and can be used for facial emotion recognition tasks. IndEmoVis dataset is annotated for six basic emotion categories (Happiness, Sadness, Surprise, Disgust, Anger, Fear), along with complex emotion categories of Awe and Sympathy, and a Neutral emotion class. Additionally, the dataset is annotated for the presence of braces, spectacles, and prominent hand gestures, providing valuable context for emotion analysis. Furthermore, intensity and confidence levels are annotated on a scale of 0 to 5 and 0 to 7, respectively, by the clinical psychologist to further enrich the dataset with nuanced emotional expressions.</p>
Stress shift in noun-verb conversion pairs_data
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Genome and transcriptome of Clostridium phytofermentans catalyst for the direct conversion of plant feedstocks to fuels
GEO Series GSE52495. Lachnoclostridium phytofermentans. 18 samples. Type: Expression profiling by array.
Potential landscape decomposes the cell identity conversion in liver regeneration and tumorigenesis [ChIP-seq]
GEO Series GSE244909. Mus musculus. 12 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Targeting microRNA-mediated gene repression limits the adipogenic conversion of skeletal muscle mesenchymal stromal cells
GEO Series GSE171505. Mus musculus. 10 samples. Type: Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing; Other.
Supplementary Data from "Relative effects of land conversion and land-use intensity on terrestrial vertebrate diversity"
<p>These tif-files contain gridded supplementary data produced for the publication " Relative effects of land conversion and land-use intensity on terrestrial vertebrate diversity".</p> <p>2010_area_incl_fallow_### depict the area of the respective land-use type in km2 in each grid cell.</p> <p>2010_HANPPharv_pc_### depict the land-use intensity based on intensity indicator 1 of the respective land-use type in proportion of NPPpot in each grid cell.</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.