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812 results for “Columnitis”
Cellier-Blumenthal distillation column
This Cellier-Blumenthal distillation column belongs to the collection of the Jenevermuseum of Hasselt en was 3D modeled in 2015 by students of TIHH Hasselt. During the Flemish heritage project "Duiken in de Machine" the CAD model was used to build an augmented reality app that illustrates the distillation process. The app was developed in cooperation with Howest Digital Arts & Entertainment and student Igor Vermeulen. Source: Objaverse 1.0 / Sketchfab
Mayan 8th century Column
Scanned at MET This limestone column, carved in medium relief, depicts an ornately dressed individual and a dwarf. The central figure is most likely a Maya ruler, and he wears an enormous tiered headdress with feathers splaying to the tops and sides of the column. Source: Objaverse 1.0 / Sketchfab
Column base, Gujurat, Western India
11th Century AD "This stone base, carved with a series of dancing female figures, would have supported a temple column. It is of a type seen in the Jain temples at Mt Abu, and Ranakpur where deeply-cut tracery styles of sculpture are found." - British Museum *Uploading a second time to make downloadable as there was an error in previous upload.* Source: Objaverse 1.0 / Sketchfab
In-situ parameters, nutrients and dissolved carbon distribution in the water column and pore waters of Arctic Fjords (Western Spitsbergen) during a melting season
<p>A nutrient distribution such as phosphate (PO₄³⁻), ammonium (NH₄⁺), nitrate (NO₃⁻), dissolved silica (Si), total dissolved nitrogen (TN), dissolved organic nitrogen (DON) together with dissolved organic carbon (DOC) and inorganic carbon (DIC), was investigated during a high melting season in 2021 in the western Spitsbergen fjords (Hornsund, Isfjorden, Kongsfjorden, and Krossfjorden). Both the water column and the pore water were investigated for nutrients and dissolved carbon distribution and gradients. The water column concentrations of most measured parameters such as PO₄³⁻, NH₄⁺, NO₃⁻, Si, and DIC showed significant changes among fjords and water masses. In addition, pore water gradients of PO₄³⁻, NH₄⁺, NO₃⁻, Si, DIC and DOC revealed significant variability between fjords and are likely substantial sources of the investigated elements for the water column. The obtained dataset reflects differences in hydrography and biogeochemical ecosystem function of the western Spitsbergen fjords and may form the base for further modelling of physical oceanographic and biogeochemical processes within the investigated fjord systems.</p> <p> </p>
Influence of Dust Particles on Spatial Distributions of Particles and Fluxes in Positive Column of Glow Discharge.
<p><strong>Figures obtained from numerical simulation and discribe the influence of dust particles on spatial distributions of particles and fluxes in positive column of glow discharge. Table contain a list of reactions used in model. Dataset will be published in the article "Influence of Dust Particles on Spatial Distributions of Particles and Fluxes in Positive Column of Glow Discharge" </strong>C. Yuan, R. Tian, D. V. Bogdanov, E. A. Bogdanov, A. A. Kudryavtsev and Z. Zhou</p>
Total column ozone at PMOD/WRC from Brewer #163, KOHERENT, Pandora P120 and QASUME
<p>Scientist in charge: Luca Egli, PMOD/WRC (luca.egli@pmodwrc.ch)<br><br>Description:<br>This dataset is the key data of total columne ozone measured with Brewer #163 KOHERENT, Pandora P120, and QASUME during their deployment at PMOD/WRC from 1 September 2019 to 1 September 2024.</p> <p>The dataset is the Deliverable 2 of the QA4EO project WP2230.</p> <p>For Koherent two retrieval algorithms are included: LSF and CDR according to Egli et al. (2023): https://amt.copernicus.org/articles/16/2889/2023/.</p> <p><br>The Pandora 120 data is calculated with the CDR algorithm and the standard output ("out2") from the Pandonia network is included (www.pandonia-global-network.org). </p> <p><br>Total columne ozone from QASUME is derived from a linear least square fit algorithm (LSF) according to Egli et al. (2022): https://doi.org/10.5194/amt-15-1917-2022.</p> <p><br>The data is aggregated to five Minutes quasi simultaneous measurements, while -999=NaN values. At least one valid value is displayed for each time stamp.</p> <p>Format (TAB separated): Year Month Day Hour Minute Second TCO-Brewer163 [DU] TCO-Koherent-LSF [DU] TCO-Koherent-CDR [DU] TCO-Pandora120-CDR [DU] TCO-Pandora120-OUT2 [DU] TCO-QASUME [DU].</p>
Stepwise shifts underlie evolutionary trends in morphological complexity of the mammalian vertebral column
<p>A fundamental concept in evolutionary biology is that life tends to become more complex through geologic time, but empirical examples of this phenomenon are controversial. One debate is whether increasing complexity is the result of random variations, or if there are evolutionary processes which actively drive its acquisition, and if these processes act uniformly across clades. The mammalian vertebral column provides an opportunity to test these hypotheses because it is composed of serially-repeating vertebrae for which complexity and organization can be readily measured. Here we test seven competing hypotheses for the evolution of vertebral complexity by incorporating fossil data from the mammal stem lineage into evolutionary models. Based on these data, we reject Brownian motion (a random walk) and uniform increasing trends in favor of stepwise shifts for explaining increasing complexity. We hypothesize that clade-specific adaptations associated with increased aerobic capacity in non-mammalian cynodonts may have provided impetus for increasing vertebral complexity in mammals.</p>
Atmospheric Ammonia (NH3) total columns from the FY-4A Geostationary Interferometric Infrared Sounder (GIIRS)
<p>This dataset includes the ammonia (NH3) total columns (in molecules cm<sup>-2</sup>) obtained from the FY-4A Geostationary Interferometric Infrared Sounder (GIIRS) satellite observations between November 2019 and October 2020. It also includes a an NH3 uncertainty estimate and a cloud flag. Data has been set to NaN when clouds are detected or in the case of poor measurement sensitivity. Description of the product and retrieval method can be found in Clarisse et al. (2021).</p>
Data for The ICON single-column mode
<p>Data accompanying the paper titled: The ICON single-column mode.</p> <p>This repository contains configuration files and output data from idealized and semi-realistic simulations run with different modes of the ICON (ICOsahedral Nonhydrostatic) modeling framework: large eddy mode (LEM), cloud resolving mode without deep convection parametrization (CRM), and single-column mode (SCM). Additionally, the three-dimensional ICON was run on different geometries: on the globe, on a limited area with open lateral boundary conditions (LAM), and on a limited area with periodic lateral boundaries conditions (PER) - torus grid.</p> <p>This repository contains also configuration files and standard output statistics for four idealized simulations run with LES model MicroHH (van Heerwaarden et al., 2017): ARM, BOMEX, DYCOMS and RICO.<br> ARM, BOMEX, and RICO cases were run with version 1.0 of the MicroHH model: https://github.com/microhh/microhh . DYCOMS case was run version 2 of the MicroHH model: https://github.com/microhh/microhh2 .</p> <p>The ICON SCM was tested on four idealized cases: the drizzling stratocumulus case based on the first research flight (RF01) of the second Dynamics and Chemistry of Marine Stratocumulus (DYCOMS-II) field study (Stevens et al., 2005), the continental cumulus case based on measurements over the Atmospheric Radiation Measurement (ARM) program Cloud and Radiation Testbed (CART) site in Oklahoma (Brown et al. 2002; Lenderink et al., 2004), the trade wind cumulus case based on observations from the Barbados Oceanographic and Meteorological Experiment (BOMEX) (Siebesma et al. , 2003), and the precipitating shallow cumulus convection case based on the Rain in Cumulus over the Ocean (RICO) field experiment (Rauber et al., 2007; van Zanten et al., 2011).</p> <p>Semi-realistic case is based on data from the Field Experiment on Submesoscale Spatio-Temporal VAriability in Lindenberg (FESSTVaL - http://fesstval.de/) in eastern Germany on 12 July 2020 starting at 00 UTC. The observations are from the Falkenberg site.</p> <p>The files are organized in the following way:</p> <p>Data from simulations and observations are located in 'data' sub-directory.<br> Each idealized ICON simulation has its own sub-directory in the 'idealized/ICON-SCM' sub-directory.<br> Each idealized MicroHH simulation has its own sub-directory in the 'idealized/LES' sub-directory.<br> Data for semi-realistic case are in the 'semi-realistic directory'</p> <p>Python scripts 'plot-ID-SCM-ST1.py', 'plot-SR-time-var.py', 'plot-ID-SCM-ST2.py', 'plot-SR-var-z.py' processes data from idealized and semi-realistic cases. The final figures for publication are located in the 'figures' folder.<br> </p>
2015 Hawaii Ocean Experiment - Legacy 2A, Water Column Data
<p>This dataset consists of samples taken at various depths in the water column from niskin bottles attached to a CTD rosette on the HOE Legacy 2A Diel cruise in 2015. The objective of the cruise was to deploy and follow free-drifting surface drifters in the vicinity of the Hawaii Ocean Time-series (HOT) station (Station ALOHA; defined as a circle with a 6 nautical mile radius centered at 22° 45N, 158°W). The overall goal was to conduct a comprehensive analysis of the diel patterns in phytoplankton physiology and biogeochemical cycling in near-surface waters of the oligotrophic North Pacific Ocean. Such diel patterns in ecology are particularly relevant in biological oceanographic research where the planktonic biomass turns over on timescales of days.</p>
2017 Microbial Ecology of the Surface Ocean - SCOPE, Water Column Data
<p>This dataset consists of samples taken at various depths in the water column from niskin bottles attached to a CTD rosette on the MESO-SCOPE cruise in 2017. Mesoscale eddies affect the variability of ocean ecosystems through different dynamics, but an exhaustive description of their influence on the plankton community is still missing, partly due to the complex physical-biological interaction taking place inside the eddies. One of the most well known effects of mesoscale eddies is the vertical displacement of water in their interior due to the geostrophic balance with the eddy circular motion. Since eddies of different polarity displace water in opposite directions, their impact on pelagic ecosystems is postulated to be very different. Based on this information, one of the objectives of the MESO-SCOPE expedition was to study a mesoscale dipole, i.e. a system composed of adjacent cyclonic and anticyclonic eddies. The MESO-SCOPE (Microbial Ecology of the Surface Ocean - Simons Collaboration on Ocean Processes and Ecology) expedition collected oceanographic observations in the region north of the Hawaiian Islands with the aim of identifying the impact of mesoscale eddies on the ecosystem of the North Pacific Subtropical Gyre. The expedition was funded by the Simons Collaboration on Ocean Processes and Ecology (SCOPE) and hosted on the research vessel Kilo Moana between June 26 and July 15 2017, leaving from and returning to the port of Honolulu. Scientists from eight countries, representing eleven SCOPE laboratories, participated in the MESO-SCOPE expedition and contributed their expertise in research areas as ocean biogeochemistry, molecular biology, bio-optics, plankton taxonomy, microbiology, and ecology.</p>
2016 Hawaii Ocean Experiment - Legacy 4, Water Column Data
<p>This dataset consists of samples taken at various depths in the water column from niskin bottles attached to a CTD rosette on the HOE Legacy 4 cruise in 2016. Mesoscale eddies shape the temporal and spatial variability of ecosystem processes in many regions of the World Ocean, but an exhaustive description of their influence on the plankton community is still missing, partly due to the complex physical-biological interaction taking place inside the eddies. HOE-Legacy 4 was an oceanographic cruise organized by the Simons Collaboration on Ocean Processes and Ecology (SCOPE) and the Center for Microbial Oceanography: Research and Education (C-MORE) in 2016. The cruise took place in the northeast sector of the North Pacific Subtropical Gyre during May 9-14 2016 onboard the research vessel Kaimikai-o-Kanaloa, leaving from and returning to the port of Honolulu. HOE-Legacy 4 was one of a series of cruises investigating the biogeochemical and ecological variability associated with mesoscale eddies, that are regions of the ocean with diameters of tens to hundreds of kilometers characterized by a rotational motion.</p>
2016 Hawaii Ocean Experiment - Legacy 3, Water Column Data
<p>This dataset consists of samples taken at various depths in the water column from niskin bottles attached to a CTD rosette on the HOE Legacy 3 cruise in 2016. The objective of the cruise was to conduct water-column observations and sampling within an anticyclonic eddy to the north of the Hawaiian Islands. Surface drifters were deployed to track the eddy, and water- column sampling was conducted using the CTD-rosettes alongside the drifters for the duration of the cruise. The SVP drifter locations were transmitted every 30 mins.</p>
2018 SCOPE Falkor Cruise Water Column Data
<p>This dataset consists of samples collected from various depths in the water column using niskin bottles attached to a CTD rosette on the 2018 SCOPE-Falkor cruise. The 2018 SCOPE-Falkor Cruise was built on the observations of the SCOPE expeditions conducted during 2015-2017 by looking at diel variability associated with the deep chlorophyll maximum and quantifying the impact of mesoscale eddies on the ecology and functioning of the North Pacific Subtropical Gyre. A unique aspect to the expedition was the use of Long-Range Autonomous Underwater Vehicles which were integrated into the science operations in conjunction with other oceanographic equipment. The majority of the expedition was located in a cyclonic eddy to the north of the island of Molokai. The reason for selecting a cyclonic eddy was to better understand the microbial community structure and dynamics associated with the deep chlorophyll maximum in an eddy with negative sea level anomaly. The deep chlorophyll maximum is uplifted by 20 to 40 m in a cyclonic eddy compared to its typical position in the water-column. The expedition was split into two legs in order to facilitate both engineering and scientific research objectives. After sampling a cyclonic eddy during 14 March to 4 April, 2018, the expedition sampled a large anticyclonic eddy to the northwest in order to augment our increasing understanding of microbial biogeochemistry in eddies with contrasting polarity. During the cruise, the Schmidt Ocean Institute R/V Falkor deployed two Long Range Underwater Vehicles that autonomously tracked and sampled the chlorophyll maximum layer, two Seagliders, a Waveglider, a Wirewalker, and free-drifting sediment trap arrays. </p>
2018 Life Aquatic in the Volcanic Aftermath, Water Column Data
<p>This dataset consists of samples taken at various depths in the water column from niskin bottles attached to a CTD rosette on the HOT LAVA cruise in 2018. Kilauea volcano on the island of Hawaii was in a violent eruptive phase in the summer of 2018, with significant activities both at the summit caldera and at several points along the East Rift Zone. This rare event provided a unique opportunity to investigate hydrothermal processes at the lava-seawater contact zone (Kapoho Bay region) and the impacts of volcanic aerosol and ash deposition on surrounding marine ecosystems. The objective of the HOT LAVA cruise was to sample the ocean surrounding the lava entry point and then to track the satellite-derived chlorophyll plume that extended to the south. Operationally, a Seaglider was deployed to conduct profiling transects and CTD stations were occupied to sample microbes and biogeochemistry associated with blue water, green water, and geothermal grey water, reflecting waters differentially impacted by lava influx into coastal waters. A towfish was also deployed to sample for trace metal analyses.</p>
2019 SCOPE Gradients, Water Column Data
<p>This dataset is from the Gradients 3 cruise (KM1906) conducted April 10- April 29, 2019 in the North Pacific Ocean. CTD/rosette profiles were taken down to 1000 meters and samples were collected from niskin bottles attached to the CTD and used to generate concentrations of oxygen, inorganic nutrients, and pigment concentrations. Temperature and salinity were derived from CTD sensors. Details on methods used are available at https://hahana.soest.hawaii.edu/hot/methods/chl.html. The Gradients 3 cruise is a component of the SCOPE-Gradients program (http://scope.soest.hawaii.edu/data/gradients/gradients.html) and was designed to test conceptual and mathematical models of biogeochemical organization across transition zones between different ecosystems.</p>
Harbour protection with dual chamber oscillating water column devices (HARBOUR OWC) - 1/25 scale model tank test
Among various devices of wave energy converters (WEC), oscillating water column (OWC) devices are one of the concepts successfully deployed around the world. Hence, the necessity to design and develop the recent concept of dual-chamber OWC device attached to an existing coastal breakwater emerged. Former investigation in a wave flume already characterized the hydrodynamic performance of the device for a 1:25 scale model with frontal wave excitations. From this study, the effect of the incident wave direction is highlighted and the effect of the air compressibility on the device performances can be determined. The enclosed dataset refers to the experimental work developed at LNEC within the project Harbour OWC (PTDC/EME-REN/30866/2017) and considers the 3D effect of the incoming waves with a 14º angle of incidence. Data of free surface elevation along the tank and inside the device along with total pressure are presented.
Functional interactions among neurons within single columns of macaque V1
<p>Recent developments in high-density neurophysiological tools now make it possible to record from hundreds of single neurons within local, highly interconnected neural networks. Among the many advantages of such recordings is that they dramatically increase the quantity of identifiable, functional interactions between neurons thereby providing an unprecedented view of local circuits. Using high-density, Neuropixels recordings from single neocortical columns of primary visual cortex in nonhuman primates, we identified 1000s of functionally interacting neuronal pairs using established crosscorrelation approaches. Our results reveal clear and systematic variations in the synchrony and strength of functional interactions within single cortical columns. Despite neurons residing within the same column, both measures of interactions depended heavily on the vertical distance separating neuronal pairs, as well as on the similarity of stimulus tuning. In addition, we leveraged the statistical power afforded by the large numbers of functionally interacting pairs to categorize interactions between neurons based on their crosscorrelation functions. These analyses identified distinct, putative classes of functional interactions within the full population. These classes of functional interactions were corroborated by their unique distributions across defined laminar compartments and were consistent with known properties of V1 cortical circuitry, such as the lead-lag relationship between simple and complex cells. Our results provide a clear proof-of-principle for the use of high-density neurophysiological recordings to assess circuit-level interactions within local neuronal networks.</p>
Pathways of methane removal in the sediment and water column of a seasonally anoxic eutrophic marine basin - dataset
<p>Dataset used in the article: "Pathways of methane removal in the sediment and water column of a seasonally anoxic eutrophic marine basin", Zygadlowska et al., 2023.</p>
Effect of Hydrophobicity of Fluorescent Carbon Nanoparticles on Transport in Porous Media: Column Experiment Data and Modeling
<p>The data contained here are derived from sand column experiments and modeling which investigate the effects of hydrophobicity on the transport of fluorescent carbon nanoparticles (FCN) in porous media.</p> <p>The data consist of outlet concentrations (relative to the inlet concentrations) of FCN for a suite of experiments testing the recovery of FCN synthesized using four different pyrolysis temperatures(190C, 210C, 230C, and 250C), as well as the recovery of FCN when passed through three different sand types (Fine, Medium, and Coarse). Column experiments were tested under both saturated and unsaturated conditions to investigate the role of pore water content on FCN retention. Finally, results from tests using an inert bromide tracer are also included (File: May_et_al_Column_Experiment_Outlet_Concentrations.xlsx).</p> <p>Additionally, the results from modeling the observed breakthrough curves of FCN are included for three different transport models, as well as modelling results for an inert bromide tracer (File: May_et_al_Breakthrough_Curve_Modeling.xlsx).</p> <p>The raw output files for the two-kinetic sites model that was determined to best reproduce the observed breakthrough curves are also provided (File: May_et_al_Two_Kinetic_Sites_Model_Raw_Output.zip)</p> <p>Finally, the results of sand surface characterization for three sands using a scanning electron microscope are included (File: May_et_al_Sand_Surface_Characterization_SEM-DATA.zip).</p> <p>Please see the following paper for more details: May, D.F., B. Hassanpour, L. Sinclair, T.S. Steenhuis, and L.M. Cathles, (2023, pending), Effect of Hydrophobicity of Fluorescent Carbon Nanoparticles on Transport in Porous Media: Column Experiments and Modeling, Water Resources Research, Manuscript Submitted for Review.</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.