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2,322 results for “Circulation”
Circulation and Retention of River Plumes Around Capes
<p>Supporting data for the JGR-Oceans Manuscript: Circulation and Retention of River Plumes Around Capes by Pareja-Roman, Chant, Mazzini, and Cole.</p>
Data for: Inversion for Inferring Solar Meridional Circulation: The Case with Constraints on Angular Momentum Transport inside the Sun
<p>Solar meridional circulation profiles inferred by Hatta, Hotta, and Sekii (2024) ("Inversion for Inferring Solar Meridional Circulation: The Case with Constraints on Angular Momentum Transport inside the Sun"). Detailed information about the dataset can be found in a Readme pdf file. </p>
Peripheral priming induces plastic transcriptomic and proteomic responses in circulating neutrophils required for pathogen containment
<p><strong>When using any of this data, please cite the corresponding manuscript</strong></p> <div> <div> <p><a title="Rainer Kaiser et al., Peripheral priming induces plastic transcriptomic and proteomic responses in circulating neutrophils required for pathogen containment.Sci. Adv.10,eadl1710(2024).DOI:10.1126/sciadv.adl1710" href="https://doi.org/10.1126/sciadv.adl1710">Rainer Kaiser et al., Peripheral priming induces plastic transcriptomic and proteomic responses in circulating neutrophils required for pathogen containment. Sci. Adv. 10, eadl1710 (2024). DOI:10.1126/sciadv.adl1710</a></p> </div> </div> <p><strong>Original Data</strong></p> <p>The following files contain all count data for the original data of this manuscript:</p> <p>sepsis1_raw_feature_bc_matrix.h5 -> raw feature barcode matrix for sepsis1 sequencing<br>sepsis1_velocyto.loom -> velocyto matrices for sepsis1<br>sepsis2_raw_feature_bc_matrix.h5 -> raw feature barcode matrix for sepsis2 sequencing<br>sepsis2_velocyto.loom -> velocyto matrices for sepsis2</p> <p>sepsis_seurat.rds -> processed Seurat object containing original data cells. (Upd.: the meta.data-column "cellnames" contains the cell type annotation given in Figure 1B)</p> <p><strong>Original Data Scripts</strong></p> <p>process.R -> main analysis script<br>functions.R -> helper functions for main analysis script<br>enrichmentAnalysis.R -> script running the enrichment analysis<br>process_wgcna.R -> script performing the wgcna analysis<br>velocities_step1.R -> script performing velocity analysis (from seurat to data matrices)<br>velocities_step2.py -> actual velocity analysis<br><br><strong>GSE137539 Re-Analysis</strong></p> <p>gse137539_processed.Rds -> processed seurat object<br>gse137539_process.R -> analysis script</p> <p><strong>Bulk Analysis</strong></p> <p>MOUSE_SEPTIC_SEPTICACT.inex.DirectDESeq2.xlsx-> Raw UMI counts (intronic+exonic from zUMIs) and DE genes<br>MOUSE_SEPTIC_SEPTICACT.inex.DirectDESeq2.tsv.GeneOntology.BP.up.gsea.tsv -> Gene Set Enrichment Analysis on up-regulated genes using Gene Ontology Biological Process</p>
Data from: The characteristics of tides and their effects on the general circulation of the Mediterranean Sea
<p>Data for the figures in the paper "The characteristics of tides and their effects on the general circulation of the Mediterranean Sea"</p>
Cross-shore distribution of the wave-induced circulation over a dissipative beach under storm wave conditions: the dataset
<p>###</p> <p>Author: Marc Pezerat (marc.pezerat@univ-lr.fr or pezeratm@gmail.com)</p> <p>Date: 19/01/2022</p> <p>Purpose: This repository provides the field observations presented in the paper referred below</p> <p>Reference: Pezerat, M., Bertin, X., Martins, K. and Lavaud, L. (2022) Cross-shore distribution of the wave-induced circulation over a dissipative beach under storm wave conditions. Submitted to Journal of Geophysical Research-Ocean</p> <p>###</p> <p>* The directory Obs includes :</p> <p>(1) Wave bulk parameters, computed as described in the paper for the 7 sensors used in this study (.dat files) : the offshore AWAC and ADCP 600 kHz, the intertidal ADCP2MHz, PT2, PT3, ADV and PT5. For the three ADCP and the ADV, the average velocity measurements within the fixed wave cell of both horizontal components of the current in the ENU frame are provided ("uwcell" and "vwcell"). The field "wdepth" corresponds to the water depth above the seabed (i.e. corrected from sensor's elevation). The fields "fmin" and "fc" are the boundaries for the wave energy frequency spectra integration performed to compute the wave bulk parameters.</p> <p>(2) The vertical velocity profiles of the three components of the current in the ENU frame (u,v,w and hv, which corresponds to the norm of the horizonal current) for the three ADCP, provided in netCDF files in which the coordinate "z" corresponds to the height above the seabed.</p> <p>* The file sensors_loc.dat gathers the coordinates and the elevation above the seabed of each sensor.</p> <p>* The file "SaintTrojan_bathy_topo_ST2021.gr3" corresponds to the grid with the bathymetry used for this study in a format compliant with SCHISM-WWM.</p> <p>* The file "ww3.bnds_SaintTrojan_0.2d_ZWND14m_20210110_20210301_spec.nc" contains wave energy spectra issued from a North Atlantic application of Wavewatch III model that are used to force WWM at the offshore boundary.</p>
Datasets of submesoscale circulations in the subtropical northeastern Pacific
<p>Dataset of results in Interannual variations of submesoscale circulations in the subtropical northeastern Pacific (Sasaki et al., 2022) based on a submesoscale permitting hindcast simulation. Please see the dataset list in README.txt.</p>
Wave dissipation and mean circulation on a shore platform under storm wave conditions: the dataset
<p>###</p> <p>Author: Laura Lavaud (laura.lavaud@univ-lr.fr or llavaud@orange.fr)</p> <p>Date: 11/02/2022</p> <p>Purpose: This repository provides the field observations presented in the paper referred below</p> <p>Reference: Lavaud, L., Bertin, X., Martins, K., Pezerat, M., Coulombier, T., Dausse, D. (2022). Wave dissipation and mean circulation on a shore platform under storm wave conditions. Submitted to Journal of Geophysical Research-Earth Surface</p> <p>###</p> <p>* The directory storm_conditions is relative to the field campaign conducted in storm conditions, it includes:</p> <p>(1) Wave bulk parameters, computed as described in the paper for the 8 sensors used in this study: (SENSOR_Date_WDepth_Hm0_Tm02_Tpc_Fmin_Fmax.dat files) : the offshore ADCP 600 kHz and PT2, the intertidal PT4, 5, 6, 8, 9 and 10. The field "WDepth" in the title of each file corresponds to the mean water depth above the seabed (i.e. corrected from sensor's elevation above the bed), Hm0 is the significant wave height, Tm02 the mean wave period and Tpc the continuous peak period. The fields "Fmin" and "Fmax" are the boundaries for the integration of the wave energy frequency spectra performed to compute the wave bulk parameters.</p> <p>(2) The file ADV7_Date_WDepth_horizontal_current_ENU_20minburst.dat contains the WDepth and the horizontal components of the velocity at the ADV in the ENU frame, averaged over bursts of 20 minutes. </p> <p>(3) The file sensors_coordinates_storm_cond.dat gathers the coordinates and the NGF (IGN69) elevation of the seabed at the location of each sensor.</p> <p>* The directory fair_weather_conditions is relative to the field campaign conducted in fair weather conditions, it includes:</p> <p>(1) Wave bulk parameters, computed for the 6 sensors used in this study (SENSOR_Date_WDepth_Hm0_Tm02_Tp_Fmin0pt04_Fmax0pt25.dat files) : the intertidal ADCP 2MHz, PT0, PT1, ADV, PT2 and PT3.</p> <p>(2) The file sensors_coordinates_fairweather_cond.dat gathers the coordinates of each sensor.</p> <p>* The directory model_input_files includes the files used to run the simulations presented in this study:</p> <p>(1) The SCHISM and WWM input files (param.nml and wwminput.nml) and the vertical grid (vgrid.in)</p> <p>(2) The file "ww3.bnd_spec_20200120_20200229.nc" which corresponds to directional wave energy spectra used to force WWM at the open boundary of the computational grid. These spectra were computed from a North Atlantic application of Wavewatch III model forced by CFSR wind fields. </p>
Fig. 5 in Circulation Pathways Of Trematodes Of Freshwater Gastropod Mollusks In Forest Biocenoses Of The Ukrainian Polissia
Fig. 5. The ratio of studied trematode species according to the classes of definitive hosts.
Fig. 4 in Circulation Pathways Of Trematodes Of Freshwater Gastropod Mollusks In Forest Biocenoses Of The Ukrainian Polissia
Fig. 4. Four-host life cycles of trematodes.
Fig. 1 in Circulation Pathways Of Trematodes Of Freshwater Gastropod Mollusks In Forest Biocenoses Of The Ukrainian Polissia
Fig. 1. Points — location of mollusc collection sites (ponds of Ukrainian Polissia).
Supplementary material for paper "Contribution of the wind and Loop Current Eddies to the circulation in the southern Gulf of Mexico" submitted to journal of Ocean Dynamics
<p>Movie including the time evolution of the daily SSH and surface velocity vector fields in the BoC, the meridional velocity in the CG zonal section, meridional velocity in the 22°N zonal section, the vq sections at 22°N, the time series of PVF2 and CPFV2 and the time series of daily transport through the CG western arm.</p>
MITgcm model setup and output for "Modeling ocean circulation in the Bellingshausen Sea"
<p>MITgcm model setup and output for "Modeling ocean circulation in the Bellingshausen Sea".</p> <p>Here, it contains the results of the Amundsen and the Bellingshausen Sea from 1992 to 2020. </p> <p><Changes from run260 to this model><br> This is improved version of run260 with 70 vertical layers. <br> To adjust melt rate of the George VI ices shelf, we change the values of heat transfer coefficient γT similar to run260.</p> <p>This experiment was conducted in two separate sessions due to changes in timestep (150 -> 120).<br> We can refer to input/data.diagnostics for the details of the model output name.<br> Outputs are the monthly mean.</p> <p><br> <strong>(Contents)</strong></p> <p>ABSmodel_1992_2009_code.tar.gz (code to run this simulation between 1992 and 2009)</p> <p>ABSmodel_2010_2020_code.tar.gz (code to run this simulation between 2010 and 2020)</p> <p>ABSmodel_1992_2009_input.tar.gz (input file required for this simulation between 1992 and 2009)</p> <p>ABSmodel_2010_2020_input.tar.gz (input file required for this simulation between 1992 and 2009)</p> <p>ABSmodel_1992_2009_results.tar.gz</p> <p>ABSmodel_2010_2020_results.tar.gz</p> <p>(due to size limit of 50GB, please check https://ecco.jpl.nasa.gov/drive/files/ECCO2/LLC1080_REG_AMS/Hyogo_et_al_2022 for complete model output. Complete datasets can also be obtained by rerunning the simulation.)</p> <p><strong>(How to build and run)</strong><br> mkdir build<br> ./../../tools/genmake2 -of ../../../tools/build_options/linux_amd64_ifort+mpi_ice_nas_tokyo3 -mpi -mods ../code/<br> make depend<br> make -j 16<br> cd ..</p> <p>mkdir test<br> cd test<br> ln -sf ../input/* .<br> ln -sf /forcing/era_xx/ .<br> cp ../build/mitgcmuv .<br> qsub run_omp_high_t1.pbs</p>
Glacial-Interglacial Controls on Ocean Circulation and Temperature during the Permo-Carboniferous
<p>Monthly climatologies of the late Pennsylvanian-early Permian (~300 Ma) glacial and interglacial simulations using the Community Earth System Model v1.2. The NetCDF files include all atmosphere and ocean variables used to make the figures in the study (see README.txt file for more information).</p>
Integrated methylome and phenome study of the circulating proteome reveals markers pertinent to brain health
<p>This repository houses fully-adjusted methylome-wide association study (MWAS) summary statistics for 4,231 SomaScan protein measurements. These were generated as part of the study titled ‘Integrated methylome and phenome study of the circulating proteome reveals markers pertinent to brain health’ by Gadd <em>et al</em>. The Stratifying Resilience and Depression Longitudinally (STRADL) cohort used in this study is a subset of individuals from Generation Scotland: The Scottish Family Health Study. There were 744 individuals with complete protein and DNA methylation measurements available at 772,619 CpG probes. MWAS were performed with protein residuals as the outcome and DNA methylation as the exposure, using the Omics-data-based complex trait analysis (OSCA) software.</p> <p>Fully-adjusted models were run using M-values that were adjusted for age, sex, DNA methylation-derived immune cell estimates, depression status, DNA methylation batch and set, body mass index and a DNA methylation-derived smoking score. Protein levels were rank-based inverse normalised and scaled to have a mean of 0 and standard deviation of 1. Protein levels were residualised by age, sex, available pQTLs, technical covariates and 20 genetic principal components.</p> <p>Four of the 4,235 protein MWAS models did not converge (15509-2 - NAGLU, 15584-9 - CFHR2, 4407-10 - MST1 and 6402-8 - PILRA). Therefore, summary statistics are provided for 4,231 protein levels.</p> <p>Each protein MWAS summary statistics file has been saved with the following naming system: "MWAS_SeqId_Protein_gene.csv". For example, the protein with gene name CRYBB2 and SeqId 10000-28 has the following file name: "MWAS_10000-28_CRYBB2.csv".</p> <p>The SeqIds, UniProt codes, gene names and full UniProt names can be found in "annotation_formatted_for_paper.csv" and the full summary statistics are found within "compressed-protein-ewas.tar.gz".</p> <p>Please contact either <a href="mailto:riccardo.marioni@ed.ac.uk">riccardo.marioni@ed.ac.uk</a> or <a href="mailto:danni.gadd@ed.ac.uk">danni.gadd@ed.ac.uk</a> for any queries. All code is available at the following Github repository: <a href="https://github.com/DanniGadd/Epigenome-and-phenome-wide-study-of-brain-health-outcomes">https://github.com/DanniGadd/Epigenome-and-phenome-wide-study-of-brain-health-outcomes</a>.</p>
Effect of freshwater discharge from estuary dam on residual circulation in bifurcated channel
<p>Zip-files contain matlab m-files and raw data of transects data in Yeoungsan Rver estuary. The code was designed to analysis the changes from the raw data.</p> <p>During freshwater discharge.zip file contains data set with a freshwater impact from a estuary dam,</p> <p>Whereas during non-freshwater discharge.zip file contains data set without a freshwater impacts period.</p> <p> </p> <p> </p>
A model for the dissemination of circulating tumour cell clusters involving platelet recruitment and a plastic switch between cooperative and individual behaviours
<p>This folder includes live/dead cell counts as well as transwell assay data for the corresponding manuscript. </p>
Global Catastrophic Effects on Future Climate due to Increasing Total Solar Irradiance. A General Atmospheric Circulation Analysis.
<p>10-yr CESM run with standard TSI (BGCN_T31_g37.cam.h0*)</p> <p>10-yr CESM run with TSI +10% (BGCN_T31_g37_TSI10p.cam.h0*)</p>
Glacial ice sheet extent effects on tidal mixing and the global overturning circulation - Model Output
<p>This dataset contains the output from the tide model and climate model simulations from the publication Wilmes et al. (2018) "Glacial ice sheet extent effects on tidal mixing and the global overturning circulation" submitted to Paleoceanography. The user is referred to the paper for details on the methodology.</p> <p>Dissipation files:</p> <p>Files beginning with "diss" contain tidal dissipation files calculated from the OTIS tide model output at 1/8th deg using the direct method. Files with the M2 constituent only are in .mat format and extend from 86deg S to 89deg N whereas the files containing all constituents (M2, S2, K1 and O1) are in netcdf format and extend from 90deg S to 90deg N. These files regridded and are used as the climate model tidal forcing.</p> <p>Dissipation file list:</p> <p>diss_dir_ze_1_8_rtp_21kyrBP_i6g_-I1.5_-t_8299008.nc Dissipation for LGM ICE-6G ZE ITdrag 1/8th deg<br> diss_dir_ze_1_8_rtp_21kyrBP_i5g_-I1.5_-t_8299031.nc Dissipation for LGM ICE-5G ZE ITdrag 1/8th deg<br> diss_dir_ze_1_8_rtp_00kyrBP_-I1.5_pdsal_8299034.nc Dissipation for PD ZE ITdrag 1/8th deg</p> <p>diss_dir_js_1_8_rtop_21kyrBP_i6g_-t_-I6.0_7673000.nc Dissipation for LGM ICE-6G JS ITdrag 1/8th deg<br> diss_dir_js_1_8_rtop_21kyrBP_i5g_-t_-I6.0_7672999.nc Dissipation for LGM ICE-5G JS ITdrag 1/8th deg<br> diss_dir_js_1_8_rtop_00kyrBP_-I6.0_7672998.nc Dissipation for PD JS ITdrag 1/8th deg</p> <p>diss_dir_ze_m2_1_8_rtp_21kyrBP_i5g_blk5_NH_lmsk_-I1.5_8299652.mat M2 dissipation for LGM ICE-5G blk1 + NH ICE-6G land mask ZE ITdrag 1/8th deg<br> diss_dir_ze_m2_1_8_rtp_21kyrBP_i5g_blk5_-I1.5_8299534.mat M2 dissipation for LGM ICE-5G blk5 ZE ITdrag 1/8th deg<br> diss_dir_ze_m2_1_8_rtp_21kyrBP_i5g_blk4_-I1.5_8299533.mat M2 dissipation for LGM ICE-5G blk4 ZE ITdrag 1/8th deg<br> diss_dir_ze_m2_1_8_rtp_21kyrBP_i5g_blk3_-I1.5_8299531.mat M2 dissipation for LGM ICE-5G blk3 ZE ITdrag 1/8th deg<br> diss_dir_ze_m2_1_8_rtp_21kyrBP_i5g_blk2_-I1.5_8299530.mat M2 dissipation for LGM ICE-5G blk2 ZE ITdrag 1/8th deg<br> diss_dir_ze_m2_1_8_rtp_21kyrBP_i5g_blk1_-I1.5_8299529.mat M2 dissipation for LGM ICE-5G blk1 ZE ITdrag 1/8th deg<br> diss_dir_ze_m2_1_8_rtp_21kyrBP_140mSLD_i6g_lmsk_-I1.5_8299543.mat M2 dissipation for PD 140mSLD ICE-6G land mask ZE ITdrag 1/8th deg<br> diss_dir_ze_m2_1_8_rtp_21kyrBP_140mSLD_i5g_lmsk_-I1.5_8299542.mat M2 dissipation for PD 140mSLD ICE-5G land mask ZE ITdrag 1/8th deg<br> diss_dir_ze_m2_1_8_rtp_21kyrBP_130mSLD_i6g_lmsk_-I1.5_8299544.mat M2 dissipation for PD 130mSLD ICE-6G land mask ZE ITdrag 1/8th deg<br> diss_dir_ze_m2_1_8_rtp_21kyrBP_130mSLD_i5g_lmsk_-I1.5_8299541.mat M2 dissipation for PD 130mSLD ICE-5G land mask ZE ITdrag 1/8th deg<br> diss_dir_ze_m2_1_8_rtp_21kyrBP_120mSLD_i6g_lmsk_-I1.5_8299545.mat M2 dissipation for PD 120mSLD ICE-6G land mask ZE ITdrag 1/8th deg<br> diss_dir_ze_m2_1_8_rtp_21kyrBP_120mSLD_i5g_lmsk_-I1.5_8299540.mat M2 dissipation for PD 120mSLD ICE-5G land mask ZE ITdrag 1/8th deg<br> diss_dir_ze_m2_1_8_rtp_21kyrBP_110mSLD_i6g_lmsk_-I1.5_8299546.mat M2 dissipation for PD 110mSLD ICE-6G land mask ZE ITdrag 1/8th deg<br> diss_dir_ze_m2_1_8_rtp_21kyrBP_110mSLD_i5g_lmsk_-I1.5_8299539.mat M2 dissipation for PD 110mSLD ICE-5G land mask ZE ITdrag 1/8th deg<br> diss_dir_ze_m2_1_8_rtp_21kyrBP_100mSLD_i6g_lmsk_-I1.5_8299547.mat M2 dissipation for PD 100mSLD ICE-6G land mask ZE ITdrag 1/8th deg<br> diss_dir_ze_m2_1_8_rtp_21kyrBP_100mSLD_i5g_lmsk_-I1.5_8299538.mat M2 dissipation for PD 100mSLD ICE-5G land mask ZE ITdrag 1/8th deg<br> diss_dir_ze_m2_1_8_rtp_21kyrBP_120mSLD_-I1.5_8299537.mat M2 dissipation for PD 120mSLD JS ITdrag 1/8th deg</p> <p> </p> <p>Climate model output:</p> <p>UVic climate model output for all simulations in the paper has been compressed using tar and zip. Each folder contains the output yearly averages (tavg.xxx.nc) which have been used in the results section of the paper. The model input files are located in /data. The tidal input file is in /data/O_tideenrg_green.nc. Furthermore included are restart files (rest.xxx.nc), model code in /code, and the model exectuables.</p> <p>Climate mode output list:</p> <p>preind_tidal_ze_00kyr_rtop_-1.5_8299034_dir.tgz Output from PIC<br> lgm_tidal_ze_21kyr_i6g_rtop_-1.5_8299008_dir_tau_lgm.tgz Output from LGM_i6gT_lgmW<br> lgm_tidal_ze_21kyr_i6g_rtop_-1.5_8299008_dir.tgz Output from LGM_i6gT_pdW<br> lgm_tidal_ze_21kyr_i5g_rtop_-1.5_8299031_dir_tau_lgm.tgz Output from LGM_i5gT_lgmW<br> lgm_tidal_ze_21kyr_i5g_rtop_-1.5_8299031_dir.tgz Output from LGM_i5gT_pdW<br> lgm_tidal_ze_00kyr_rtop_-1.5_8299034_dir_tau_lgm.tgz Output from LGM_pdT_lgmW<br> lgm_tidal_ze_00kyr_rtop_-1.5_8299034_dir.tgz Output from LGM_pdT_pdW</p> <p>preind_tidal_js_1_2_rtp_00kyrBP_-I1.0_7881173.tgz Output from PIC_1_2_rtp82<br> preind_js_1_2_SandS8.2_00kyrBP_82SNcb_-I1.0_8317333_dir.tgz Output from PIC_1_2_SS82<br> lgm_tidal_js_1_2_SandS8.2_00kyrBP_120mSLD_82SNcb_-t_-I1.0_8317331_dir.tgz Output from LGM_1_2_SS82_sldT<br> lgm_tidal_js_1_2_SandS8.2_00kyrBP_82SNcb_-I1.0_8317333_dir.tgz Output from LGM_1_2_SS82_pdT<br> lgm_tidal_js_1_2_rtop_00kyrBP_120mSLD_82SN_-t_-I1.0_8315693.tgz Output from LGM_1_2_rtp82_sldT<br> lgm_tidal_js_1_2_rtop_00kyrBP_82SN_pdsal_-I1.0_8315702.tgz Output from LGM_1_2_rtp82_pdT<br> <br> </p> <p> </p> <p> </p>
MDM data for "Wind driven ocean circulation changes can amplify future cooling of the North Atlantic warming hole" - submitted to Journal of Climate
<p>Data files for MDM simulation used in Journal of Climate submission, "Wind driven ocean circulation changes can amplify future cooling of the North Atlantic warming hole"</p>
Data from: The classical and alternative circulating renin-angiotensin system in normal dogs and dogs with stage B1 and B2 myxomatous mitral valve disease
<p>The behavior of the comprehensive circulating renin‐angiotensin system (RAS) in dogs with myxomatous mitral valve disease (MMVD) before the onset of congestive heart failure remains largely unexplored.</p> <p>Hypothesis/Objectives: The classical and alternative RAS activity and aldosterone concentrations will be significantly higher in dogs with American College of Veterinary Internal Medicine (ACVIM) stage B2 MMVD compared to normal dogs and dogs with ACVIM stage B1 MMVD.</p> <p>Animals: One hundred seventeen client‐owned dogs (normal = 60; B1 = 31; B2 = 26).</p> <p>Methods: Prospective observational study. Angiotensin peptides (AP) and aldosterone concentrations were measured using liquid chromatography and mass spectrometry. Angiotensin converting enzymes 1 and 2 (ACE, ACE2) and renin activity surrogates were calculated from AP concentrations. Equilibrium dialysis (ED) and immediate protease inhibition (PI) methods of AP quantification were compared in 14 healthy dogs.</p> <p>Results: Core RAS activity and aldosterone concentrations did not differ among the 3 groups. However, the balance between the alternative and classical RAS differed, with dogs with stage B2 MMVD having significantly higher ACE2 activity surrogate (ACE2surr) when compared to normal dogs (adjusted P = .02; ratio of medians for ACE2surr [B2:normal], 1.89; 95% confidence interval [CI]: 1.4‐2.6). The ED and PI methods of AP quantification were highly correlated (AngI, r = .9, P < .0001; AngII, r = .8, P = .001).</p> <p>Conclusions and Clinical Importance: Circulating alternative RAS activity, specifically the surrogate measure of ACE2 activity, was increased in dogs with stage B2 MMVD as compared to normal dogs. Equilibrium dialysis results are analogous to immediate protease inhibition in dogs.</p>
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.