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6,467 results for “process”
Emperor Xiaowen's procession, Longmen Caves
Stone stele showing Emperor Xiaowen in a procession with his retinue. This relief was originally located at the entrance to the Central Binyang Cave, one of the largest rock-cut Buddhist caves commissioned by the Northern Wei royalty and located in Longmen near Luoyang, China. It belonged to a pair of the "royal procession" steles, and the other relief of the pair, the empress's procession, is at the Nelson-Atkins Museum. Date: 522-23. Limestone with traces of pigment. H. 82 in. (208.3 cm); W. 12 ft. 11 in. (393.7 cm). Metropolitan Museum of Art. [https://www.metmuseum.org/art/collection/search/42707](http://) Source: Objaverse 1.0 / Sketchfab
Decision-making in Emergency Medicine: Estimates of Intuitive and Rational Information Processing
<p>Dummy and target vignettes.</p>
Supplementary material 4 from: Dhar MK, Kour G, Kaul S (2017) B chromosome in Plantago lagopus Linnaeus, 1753 shows preferential transmission and accumulation through unusual processes. Comparative Cytogenetics 11(2): 375-392. https://doi.org/10.3897/compcytogen.v11i2.11779
Figure S3 : Explanation note: S3a, b: SSR profile of 1B mother and its selfed progeny plants. M = 100bp ladder. Lane1: 1B mother plant. Lane 2: progeny plant with 2n = 26 chromosomes. Lanes 3- 26: 1B chromosome containing progeny plants. S3c, d: SSR profile of 2B and its selfed progeny plants. M = 100bp ladder. Lane1: 2B mother plant. Lane 2: progeny plant with 2n = 28 chromosomes. Lanes 3- 14: 2B chromosome containing progeny plants. Note exactly similar band pattern of mother and higher chromosome progeny plants.
Supplementary material 3 from: Dhar MK, Kour G, Kaul S (2017) B chromosome in Plantago lagopus Linnaeus, 1753 shows preferential transmission and accumulation through unusual processes. Comparative Cytogenetics 11(2): 375-392. https://doi.org/10.3897/compcytogen.v11i2.11779
Figure S2 : Explanation note: S2a: SSAP profile of 1B mother plant and progeny plants. M = 100bp ladder. Lane1: 1B mother plant. Lane 2: progeny plant with 2n = 26 chromosomes. Lanes 3-8: 1B progeny plants. S2b: SSAP profile of 2B mother plant and progeny plants. M = 100bp ladder. Lane 1: 2B mother plant. Lane 2: progeny plant with 2n = 28 chromosomes. Lanes 3-8: 2B progeny plants.
Supplementary material 2 from: Dhar MK, Kour G, Kaul S (2017) B chromosome in Plantago lagopus Linnaeus, 1753 shows preferential transmission and accumulation through unusual processes. Comparative Cytogenetics 11(2): 375-392. https://doi.org/10.3897/compcytogen.v11i2.11779
Figure S1 : Explanation note: SSCP profile of 5S rDNA amplified from various plants. M = 100bp ladder. Lane1: 1B mother plant. Lane 2: progeny plant with 2n = 26 chromosomes. Lanes 3, 4: progeny plants (1B). Lane 5: 2B mother plant. Lane 6: progeny plant with 2n = 28 chromosomes. Lanes 7-9: progeny plants (2B). The band pattern of higher chromosome plants completely matches that of the mother plants as indicated by arrows.
How novice process modelers conceptualize work processes
<p>These are the datasets which emerged during our research on 'how novice process modelers conceptualize work processes'. The results are shown in the eponymous bachelor thesis.</p>
FIGURES 1–6. Diagnostic characters. 1–3. Aulis annexa Mulsant, 1850, 1. antenna, 2. prosternal process, 3 in On the taxonomy of the genus Sidonis Mulsant, stat. nov. (Coleoptera: Coccinellidae: Chnoodini) with descriptions of new species from Brazil
FIGURES 1–6. Diagnostic characters. 1–3. Aulis annexa Mulsant, 1850, 1. antenna, 2. prosternal process, 3. claw; 4–6. Sidonis guttata (Sicard, 1912), 4. antenna, 5. prosternal process, 6. claw.
Naratives and results of their processing.
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Oliveira et al. 2024 Processed Data
<p>This is the collection of processed data for the manuscript "<a href="https://scholar.google.com/citations?view_op=view_citation&hl=en&user=CAqdlvcAAAAJ&citation_for_view=CAqdlvcAAAAJ:0EnyYjriUFMC">Epigenetic heritability of cell plasticity drives cancer drug resistance through one-to-many genotype to phenotype mapping</a>", the accompanyng code is hosted on GitHub at this <a href="https://github.com/sottorivalab/epigenetic_heritability_and_cell_plasticity_reproducibility">link</a>, this data is sufficient to regenerate all the figures.</p> <p>There are 3 cohorts of organoids analyzed in the paper (more details in the manuscript): MSI, MSS batch 1 and MSS batch 2. All the subdirectories are divided accordingly <br><br>The directory is structured in 6 main branches:</p> <ul> <li>archetype_params: this folder contains results of the archetypal analysis decomposition for RNA and ATAC of each cohort, they are either in tabular format or as MIDAA objects (more info <a href="https://github.com/sottorivalab/midaa">here</a>) </li> <li>archr_objects: this folder contains the zipped archR projects for each of the cohort, beware that archR projects have absolute paths, so you might have to change the internal links to make them work, I know the authors of archR are trying to put the possibilities of relative paths. In case you know of a better way to share archR objects please let me know.</li> <li>barcode_tables: this stores the barcode quantification tables for each cohort: in the MSI and MSS batch 2 case both floating and cellular barcodes are together in the same table (novaseq...etc), while for MSS batch 1 they are dividend into cell and floating tables</li> <li>copy_number_data: This folder contains the segmentation and the absolute copy number values obtained from lpWGS for each organoid line and treatment combination, and scDNA-seq results for MSI and MSS batch 2 for Parental and CENPE+MPS1 inh </li> <li>other_data: this folder contains various processed data. <blockquote>congas_fit_final.rds: contains the final fit of <a href="https://github.com/caravagnalab/rcongas">CONGAS</a> on MSS batch1 multiome<br>medicc_input_congas_final_tree.new: this contains the tree inferred by <a href="https://bitbucket.org/schwarzlab/medicc2">MEDICC2</a> on CONGAS output<br>palette_MSI.rds: this contains the color palette for MSI organoid<br>palette_enriched_100.rds: this contains the color paletter for MSS organoid</blockquote> <blockquote>AKT_mutect2.ann.all_plugins.VEP.tsv: this contains the mutect calls for SNVs in the AKT Trametinib resistant vs Parental Population of MSS batch 1 deep WGS<br>AZD_TRAM_vs_AKT_blood.cnvs.txt: this contains the ASCAT inferred CNV in the AKT Trametinib resistant vs Parental Population of MSS batch 1 deep WGS</blockquote> </li> <li>seurat_objects: This folder contains the seurat objects for scRNA-seq data</li> </ul>
MD Simulation data, results and scripts for "Simulating the Skin Permeation Process of Ionizable Molecules"
<p>Input and output data from MD simulations in the "Simulating the Skin Permeation Process of Ionizable Molecules" article.</p> <p>The data of the uncharged permeants were already published in Lundborg et al. <br>Skin permeability prediction with MD simulation sampling spatial and alchemical reaction coordinates. Biophys. J. 2022, 121, 3837-3849.</p> <p>Also includes scripts to rerun the analyses.</p>
Targeted Metabolite Analysis of alkaloids in Different tissues and Processed seeds of Strychnos nux-vomica using LC-Q-TOF-MSn
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Substrate kinetics of nitrogen cycling processes in the Chesapeake Bay
<p>This dataset includes substrate kinetics of ammonia oxidation, denitrification and anammox measured in the Chesapeake Bay, United States. The results are published in the paper below. </p> <p>Tang, W., Fortin, S.G., Intrator, N., Lee, J.A., Kunes, M.A., Jayakumar, A. and Ward, B.B. (2024), Determination of site-specific nitrogen cycle reaction kinetics allows accurate simulation of in situ nitrogen transformation rates in a large North American estuary. Limnol Oceanogr. <a href="https://doi.org/10.1002/lno.12628">https://doi.org/10.1002/lno.12628</a></p> <p> </p>
Baroclinic instability induced mesoscale and submesoscale processes in the river plumes: A laboratory investigation on a rotating tank
<p>This dataset studied the baroclinic instability (BI) induced mesoscale and submesoscale processes by conducting laboratory rotating flume experiments. We acquired the high-resolution velocity data by Parrticle Image Velocity (PIV). The mesoscale and submesoscale vortices were identified and tracked, and the variations of the instabilities and kinetic energy of the plume system under different inflow conditions and slopes were summarized. Number '1' to '33' mean cases number; 'gs', 'ss', and 'ns' stand for 'gentle slope', 'steep slope', and 'no slope'; 'T20' to 'T60' correspond to the rotation period from 20 to 60 s; 'g4' to 'g10' correspond to the reduced gravity between the buoyant plume and environmental fluid from 4 to 10 cm/s^2. 'vor_char' means the vortices characteristics including the time series of the vortex center and vortex contour.</p>
SEM of Recycled Carbon Fibers (T700) with pyro-gasification optimized process
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Model Data and Diagnostics used for the Lake Victoria Process Analysis
<p>Model data and derived diagnostics used in the Lake Victoria analysis, from Unified Model output. © Crown Copyright, Met Office</p>
Ecosystem processes dataset in Luasong UNDP Project 2018
<p>This is a dataset of six key ecosystem processes related to the functions of nutrient cycling and plant regeneration: dung removal, predation of insect herbivores, seed removal, functional activity of soil invertebrates, bioturbation, decomposition, and multifunctionality. </p> <p><em>The dataset accompanies the following journal article:</em></p> <p><span>Chiew, L. Y., Brodie, J. F., Burslem, D. F. R. P., Reynold, G., Vairappan, C. S., Slade, E. M., 2024. Invertebrate-mediated Ecosystem Processes are Resilient to Disturbance Across a Land-Use Gradient in Borneo.</span> <span>Ecosystems</span></p> <p>This Project was funded under United Nations Development Programme (UNDP): Biodiversity Conservation in Multiple Use Forest Landscapes and the Global Environmental Facility, and co-financed by Sabah Forestry Department, Yayasan Sabah, and WWF.</p>
Field investigation of unsaturated seepage process and its influence on soil behavior for land creation in Loess plateau with fiber-optic technology
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Reproduction package for the publication "Tidal disruption event AT2020ocn: early-time X-ray flares caused by a possible disc alignment process"
<p>This package contains the data analysed in the paper "Tidal disruption event AT2020ocn: early–time X–ray flares caused by a possible disc alignment process". The software XSPEC (Arnaud 1996) is needed to perform the spectral analysis and reproduce the results shown in the paper.</p> <p>The structure is as follows:</p> <p>./reproduction_ocn/nicer: contains all processed NICER data used in the paper, grouped by their epochs. "speclist-early.dat" lists all the early-time epochs before MJD 59130. "en_range.dat" lists the selected energy range at each epoch during the early-time period for X-ray spectral analysis. Within each epoch-specific folder, "src.fits" and "bkg.fits" are the source+background and background spectra re-binned using the FTOOL "ftgrouppha"; "*.arf" and "*.rmf" are ancillary file and response file for spectral analysis; rest files are direct products of the NICER data reduction process. See the paper for details.</p> <p>./reproduction_ocn/swift: contains all Swift/UVOT data used in the paper, grouped by their observation IDs. "m2.fits", "w1.fits", and "w2.fits" contain the UV lightcurves from three UV filters, produced by Swift task "uvotproduct". "swfxraypclc.dat" is the Swift/XRT lightcurve, produced by the online Swift pipeline: https://www.swift.ac.uk/user_objects/ (Evans et al. 2009). "./reproduction_ocn/MOSFiT-products/" includes MCMC products from the MOSFiT package (Mockler et al. 2019).</p> <p>./reproduction_ocn/xmm: contains the reduced XMM-Newton/EPIC-pn spectra of three epochs used in the paper. "1and2-slim.xcm" is fitting the XMM#1 and XMM#2 spectra using the slim disc model. "3-phenmnlgcl.xcm" and "3-relxillCp.xcm", are fitting the XMM#3 spectrum with, a powerlaw+zbbody model and a slim disc+relxillCp model, respectively.</p>
DoTA-seq Raw Reads and Processing Scripts
<p>Raw sequencing reads for the datasets presented in the paper titled "<span>Massively parallel single-cell sequencing in diverse microbial populations"</span> and the scripts to process them.</p>
New parameterization scheme for modeling ozone-caused damage to vegetation in process-based models: data
<p>gmd-2024-6: Quantifying the role of ozone-caused damage to vegetation in the Earth system: A new parameterization scheme for photosynthetic and stomatal responses (Fang Li et al., 2024); https://gmd.copernicus.org/preprints/gmd-2024-6/. It includes three directory: input (O3 concentration), observations (collected PODY-An and PODY-gs), and simulations.</p> <p>It is co-supported by the National Natural Science Foundation of China (41875137) and Guangdong Major Project of Basic and Applied Basic Research (2021B0301030007).</p>
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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.