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Fig. 4 in Assessing the natural circulation of canine vector-borne pathogens in foxes, ticks and fleas in protected areas of Argentine Patagonia with negligible dog participation
Fig. 4. Maximum-likelihood tree based on the Tamura-Nei model of selected sequences from Hepatozoon sp. The name of the sequence indicates the GenBank accession number and host species. The percentage of trees in which the associated taxa clustered together (bootstrap values) is shown next to the branches.
Fig. 3 in Assessing the natural circulation of canine vector-borne pathogens in foxes, ticks and fleas in protected areas of Argentine Patagonia with negligible dog participation
Fig. 3. Abundance of Amblyomma tigrinum in grey foxes depending on the Hepatozoon infection status of the fox. (*) indicates significant differences.
Fig. 2 in Assessing the natural circulation of canine vector-borne pathogens in foxes, ticks and fleas in protected areas of Argentine Patagonia with negligible dog participation
Fig. 2. Abundance of Pulex irritans and Amblyomma tigrinum in grey foxes depending on the study area. (*) indicates significant differences.
Fig. 1 in Assessing the natural circulation of canine vector-borne pathogens in foxes, ticks and fleas in protected areas of Argentine Patagonia with negligible dog participation
Fig. 1. Map of Latin America, showing the study areas in the insert. Black circle: Bosques Petrificados National Park; grey circle: Monte León National Park.
North Atlantic circulation: a perspective from ocean reanalyses
<p>We provide data here from our paper "North Atlantic circulation: a perspective from ocean reanalyses". All files are netcdf or text files (or a tar of files).</p> <p>clim_MLD.tar.gz : time mean mixed layer depths (Fig 1)</p> <p>clim_AMOC.tar.gz : time mean AMOC streamfunctions (Fig 2)</p> <p>clim_gyre.tar.gz : time mean barotropic streamfunctions (Fig 3)</p> <p>clim_box_transports.csv : volume transports for the subtropical and subpolar regions split into upper, lower, boundary and interior (Fig 4)</p> <p>clim_transports.tar : heat and freshwater transports by latitude (Fig 5)</p> <p>clim_scatter_fig6-7.tar : time mean labrador sea densities, AMOC and subpolar gyre strengths, heat and freshwater transports (Fig 6+7)</p> <p> timeseries_TS.tar : timeseries of temperature and salinity anomalies in the upper 500m over region 25-45N and 45-65N. Also volumes of water> 10 degrees or 35.3PSU (Fig 8)</p> <p>timeseries_fig9.tar : timeseries of labrador sea density and mixed layer depth (Fig 9)</p> <p>dens_control_data.nc : the relationship between salinity and temperature control on density timeseries (Fig 10)</p> <p>timeseries_amoc.tar : timeseries of AMOC at 26.5N and 50N (Fig 11)</p> <p>rapid_corr.csv : correlations and standard deviations of components of AMOC at 26.5N compared to observations (Fig 12)</p> <p>timeseries_osnap.nc : timeseries of overturning across the OSNAP section (Fig 13)</p> <p>timeseries_gyres.tar : timeseries of subpolar and subtropical gyre strengths (Fig 14)</p> <p>Fig 15 uses data from Fig 9, 11,14</p> <p>timeseries_transports.tar : timeseries of heat and freshwater transports at 26.5N and 50N (Fig 16, 17)</p> <p>Fig 18 uses data from Fig 11, 16,17<br> </p>
Ocean circulation during the last nine interglacials inferred from carbon 13 isotopes - model outputs
<p>This dataset contains the model output corresponding to the paper entitled "Ocean circulation during the last nine interglacials inferred from carbon 13 isotopes" submitted to Paleoceanography. For the description of the model and simulations we refer to this article.</p> <p>Model outputs:</p> <p>The outputs of two series of simulations can be found in the files.</p> <p>1) MIS experiments:</p> <p>- Atmospheric CO<sub>2</sub> values (ppm) for each interglacial are in: iloveclim_CO2_MIS.txt</p> <p>- Oceanic ð<sup>13</sup>C values (permil) are in:</p> <p>iloveclim_PI_CC.nc for the pre-industrial</p> <p>iloveclim_MISXX.nc for MISXX (XX being 1,5,7,9,11,13,17 or 19)</p> <p> </p> <p>2) Sensitivity experiments</p> <p>- Atmospheric CO<sub>2</sub> values (ppm) are in: iloveclim_CO2_sensitivity_expe.txt</p> <p>- Streamfunction values (Sv) are in:</p> <p>iloveclim_PI-CC_stream.nc for the pre-industrial</p> <p>iloveclim_MIS17_CC_stream.nc for the standard MIS17 simulation</p> <p>iloveclim_MIS17-CC-hosing0.2Sv_stream.nc for the hosing simulation with 0.2sv</p> <p>iloveclim_MIS17-CC-hosing-0.2Sv_stream.nc for the hosing simulations with -0.2Sv</p> <p>iloveclim_MIS17-CC-brines0.4_stream.nc for the simulation with the sinking of brines</p> <p>- Oceanic ð<sup>13</sup>C values (permil) are in:</p> <p>iloveclim_MIS17-CC.nc for the standard MIS17 simulation</p> <p>iloveclim_MIS17-CC-hosing0.2Sv.nc for the hosing simulation with 0.2sv</p> <p>iloveclim_MIS17-CC-hosing-0.2Sv.nc for the hosing simulations with -0.2Sv</p> <p>iloveclim_MIS17-CC-brines0.4.nc for the simulation with the sinking of brines</p>
Figure 9. Dipole eddy evolution from August 7 in Influence of circulation processes on cyanobacteria bloom and phytoplankton succession in the Baltic Sea coastal area
Figure 9. Dipole eddy evolution from August 7 to August 9, 2018 in the suspended matter field from OLCI Sentinel-3A data for August 7 (a) and August 8, 2018 (b) and MSI Sentinel-2B data for August 9, 2008 (c) according Krayushkin et al. (2018).
Figure 5 in Influence of circulation processes on cyanobacteria bloom and phytoplankton succession in the Baltic Sea coastal area
Figure 5. Spatial variations of optical, physical, chemical, and biological parameters along the coast of the Sambia Peninsula and the Curonian Spit. The yellow background corresponds to warm waters in eddies, the blue background corresponds to cold waters, and the grey background corresponds to waters outside eddies.
Figure 4 in Influence of circulation processes on cyanobacteria bloom and phytoplankton succession in the Baltic Sea coastal area
Figure 4. Photosynthetic active radiation attenuation coefficient (Kd) and inverse Secchi depth (D, circles) vs. turbidity and inverse Secchi depth (squares) at stations with cyanobacteria blooms (green symbols), under the influenced of cold water stations (blue symbols) and under the influenced of warm water stations (black symbols), respectively. Turbidity is given in units according to the turbidity standard for Formazine (Formazin Turbidity Unit, ftu).
Figure 3 in Influence of circulation processes on cyanobacteria bloom and phytoplankton succession in the Baltic Sea coastal area
Figure 3. Sea surface temperature (a) and chlorophyll a concentration (b) on August 22 (11:30 UTC), and sea surface temperature (c) on August 23, 2018 (12:10 UTC), all from MODIS-Aqua satellite data; (d) fragment of optical satellite image (red, green, blue composite) derived from the Ocean and Land Color Instrument (OLCI) on Sentinel-3A satellite from August 23, 2018 (9:25 UTС); (e) temperature (˚C) and salinity (f) transects along the northern coast of the Sambia Peninsula and Curonian Spit on August 23, 2018.
Figure 7 in Influence of circulation processes on cyanobacteria bloom and phytoplankton succession in the Baltic Sea coastal area
Figure 7. Vertical distribution of chlorophyll a concentration along the coastal area of the Sambia Peninsula on August 22, 2018.
Figure 8 in Influence of circulation processes on cyanobacteria bloom and phytoplankton succession in the Baltic Sea coastal area
Figure 8. Fragments of optical satellite images derived from OLCI Sentinel-2 on May 3, 2019 (a) and August 28, 2022 (b).
Figure 2 in Influence of circulation processes on cyanobacteria bloom and phytoplankton succession in the Baltic Sea coastal area
Figure 2. Study area and locations of station in the southeastern Baltic Sea (а) Conditional symbols: Yellow circles correspond to the stations conducted on August 22, 2018. Red circles correspond to the stations conducted on August 23, 2018. White circle is Wastewater Treatment Plant (WTP) on the northern coast of Sambia Peninsula. Amber Mining Plant (AC) is indicated as an asterisk on the western coast.
Figure 1 in Influence of circulation processes on cyanobacteria bloom and phytoplankton succession in the Baltic Sea coastal area
Figure 1. Phytoplankton patches on the surface of the southern Baltic Sea. Fragment of a color-synthesized image of the Baltic Sea surface in the visible range from OLCI-Sentinel-3 satellite scanner data of June 27, 2018.
Figure 6 in Influence of circulation processes on cyanobacteria bloom and phytoplankton succession in the Baltic Sea coastal area
Figure 6. Phytoplankton biomass contribution in the upper 1 m layer (station 16 and 24 – integrated samples over euphotic depth).
Assets (code, scripts and datasets) for the manuscript "Correction of the Air-Sea Heat Fluxes in Ocean General Circulation Models Using Neural Networks"
<p>This dataset contains all relevant software and data related to the manuscript "Correction of the Air-Sea Heat Fluxes in Ocean General Circulation Models Using Neural Networks", submitted to AGU journals.</p>
Dataset for "Extensive Schmallenberg virus circulation in Germany, 2023"
<p>Wild ruminant sera (red deer, roe deer, mouflon) collected during the 2022/2023 and 2023/2024 hunting seasons in western Germany were serologically tested for the presence of antibodies against Schmallenberg virus (SBV) and bluetongue virus (BTV). The dataset contains the values of the SBV and BTV antibody ELISAs. </p>
Fig. 2 a in Circulating dengue virus serotypes and vertical transmission in AEdES larvae during outbreak and inter-outbreak seasons in a high dengue risk area of Sri Lanka
Fig. 2 a Distribution of dengue cases in the Kegalle District and Mawanella MOH area, Sri Lanka from December 2015 to March 2017. b Distribution of DENV serotypes in patients and distribution of Aedes mosquito larvae in and around the residences of dengue patients in Mawanella from December 2015 to March 2017. Abbreviations: DENV1, -2, -3, -4, DENV serotypes 1, 2, 3, 4
Shift in Circulating Human Adenovirus Species Leading to Nationwide Outbreak - China, January 2023-August 2024
<p><span>Detailed methodologies and data quality control standards are provided</span><span> in the supplementary materials</span></p>
Supplementary table for "Deciphering the Relationship Between Circulating Metabolites and Osteoarthritis: A Comprehensive Genetic Correlation and Mendelian Randomization Studies"
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.