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40 results for “Phenomenology”
A phenomenological law for complex granular materials from Mohr-Coulomb theory
<p>The compressed directory contains the data in .csv format used for the PCA analysis for each dataset (1, 2 and 3). </p>
A European aerosol phenomenology – 9: LIGHT ABSORPTION PROPERTIES OF CARBONACEOUS AEROSOL PARTICLES ACROSS SURFACE EUROPE
<p>Carbonaceous aerosols (CA), composed of black carbon (BC) and organic aerosols (OA), exert an important role on the climate system through their interaction with solar radiation. Light absorption properties of CA particles are of special interest due to their important contribution to global and regional warming. Among atmospheric particulate matter (PM), BC and the absorbing components of OA (or brown carbon, BrC) are characterized by the highest absorption efficiency but their role in the current climate change, especially that of BrC, is still uncertain. Here we present the absorption properties of BC and BrC PM at 44 sites across Europe using aethalometer data collected at different types of environment (6 traffic (TR), 16 urban (UB), 7 suburban (SUB), 10 regional background (RB) and 5 mountain (M) sites). The absorption Ångström exponent (AAE) method was used to assign total measured absorption to the contributions of BC (bAbs,BC) and BrC (bAbs,BrC) to total absorption (bAbs). The results showed a clear dependence of the absorption coefficients bAbs, bAbs,BC and bAbs,BrC on station settings as follows: TR > UB > SUB > RB > M, even if significant exceptions were observed. The relative contribution of bAbs,BrC to bAbs (%AbsBrC) at 370 nm was on average lower at traffic sites (11-20%) reaching at some SUB and RB sites median annual values that accounted for more than 30% and 10% of the absorption at 370 and 660 nm, respectively. The median AAE of CA particles was correspondingly low at TR sites (1.1-1.2) where internal combustion engines dominated the CA mass concentration. Low AAE were also observed at some remote RB and M sites, likely due to the lack of proximity from BrC sources or lack of sufficiently strong secondary processes resulting in BrC. On average, AAE was lower in Western Europe (<1.3) compared to Eastern Europe (>1.3), likely due to a more extensive use of coal and biomass burning in eastern countries. The median AAE of BrC PM (AAEBrC) showed a wide range of values, from 2.5 to 6, with no clear relationship with station background or region. Assessing the seasonal variability revealed, overall, an increase of bAbs, bAbs,BC, bAbs,BrC in winter, which was attributed to meteorological conditions and more heating related emissions. Accordingly, bAbs,BrC exhibited a stronger increase than bAbs,BC, resulting in higher AAE and %AbsBrC during the winter season. The diel cycles differed between bAbs,BC and bAbs,BrC, with bAbs,BC showing the bimodal peaks during the morning and evening rush hours, whereas bAbs,BrC, together with %AbsBrC, AAE and AAEBrC, peaked at night. Decade-long trend analysis performed for a subset of stations across Europe revealed a decrease of bAbs, driven by declining bAbs,BC, whereas, overall, bAbs,BrC, %AbsBrC and AAE increased with time. This strongly implies an efficient reduction of BC mass concentrations from traffic sources in Europe and a less effective reduction of emissions from BrC sources. The observed increasing trends of AAE reflected a progressive change in the chemical composition of CA particles driven by a relative increase/decrease of BrC/BC content in CA with time.</p>
European Aerosol Phenomenology - 8: Harmonised Source Apportionment of Organic Aerosol using 22 Year-long ACSM/AMS Datasets
<p>Organic aerosol (OA) is a key component of total submicron particulate matter (PM<sub>1</sub>), and comprehensive knowledge of OA sources across Europe is crucial to mitigate PM<sub>1</sub> levels. Europe has a well-established air quality research infrastructure from which yearlong datasets using 21 aerosol chemical speciation monitors (ACSMs) and 1 aerosol mass spectrometer (AMS) were gathered during 2013–2019. It includes 9 non-urban and 13 urban sites. This study developed a state-of-the-art source apportionment protocol to analyse long-term OA mass spectrum data by applying the most advanced source apportionment strategies (i.e., rolling PMF, ME-2, and bootstrap). This harmonised protocol was followed strictly for all 22 datasets, making the source apportionment results more comparable. In addition, it enables quantification of the most common OA components such as hydrocarbon-like OA (HOA), biomass burning OA (BBOA), cooking-like OA (COA), more oxidised-oxygenated OA (MO-OOA), and less oxidised-oxygenated OA (LO-OOA). Other components such as coal combustion OA (CCOA), solid fuel OA (SFOA: mainly mixture of coal and peat combustion), cigarette smoke OA (CSOA), sea salt (mostly inorganic but part of the OA mass spectrum), coffee OA, and ship industry OA could also be separated at a few specific sites. Oxygenated OA (OOA) components make up most of the submicron OA mass (average = 71.1%, range from 43.7 to 100%). Solid fuel combustion-related OA components (i.e., BBOA, CCOA, and SFOA) are still considerable with in total 16.0% yearly contribution to the OA, yet mainly during winter months (21.4%). Overall, this comprehensive protocol works effectively across all sites governed by different sources and generates robust and consistent source apportionment results. Our work presents a comprehensive overview of OA sources in Europe with a unique combination of high time resolution (30–240 min) and long-term data coverage (9–36 months), providing essential information to improve/validate air quality, health impact, and climate models.</p>
A phenomenological law for complex granular materials from Mohr-Coulomb theory
<p>The compressed directory contains the data in .csv format used for the PCA analysis for each dataset (1, 2 and 3). </p>
Phenomenological images (CL-CAM1B) of Crater Lake CALM site, Deception island, Antarctica (2023).
<p>Images acquired by a phenomenological automatic time-lapse camera (CL-CAM1B) located in Crater Lake permafrost and active layer monitoring site in Crater Lake sounders in Deception island, Antarctica, in 2023.</p> <ul> <li>File code: DEC_CL_CAM1B_2023_v100</li> <li>Location code: DEC</li> <li>Site code: CL</li> <li>Instrument code: CAM1B</li> <li>Period: 2023</li> <li>Version: 1.0.0 (jpg images as they were obtained from camera, without processing)</li> <li>Camera/manufacturer: CC5MPX by Campbell Scientific Inc.</li> <li>Resolution/Type/Format: 5Mpixels in RGB in jpg files</li> <li>Frequency: 3 images per day at 14h, 15h and 16h GMT</li> <li>Site: Close to Crater Lake CALM site, in Crater Lake sounders of Deception island, Antarctica.</li> <li>Location: </li> <li>Elevation:</li> <li>Initial dataset date/time: March 6, 2023 16:00h GMT</li> <li>Final dataset date/time: February 18, 2024 16:00h GMT</li> <li>Gaps: None</li> <li>Notes: <ul> <li>Folders: 12</li> <li>Files: 1048</li> <li>Other files: none</li> <li>Folder names structure: year_month</li> <li>Datafiles names structure: Site_camera_year_month_day_hour_minute_second.jpg</li> </ul> </li> </ul>
Phenomenological images (LL-CAM1B) of Limnopolar Lake CALM site, Byers Peninsula, Livingston island, Antarctica (2023).
<p>Images acquired by a phenomenological automatic time-lapse camera (LL-CAM1B) located in Limnopolar Lake permafrost and active layer monitoring site in the Limnopolar Lake basin in Byers Peninsular, Livingston island, Antarctica, in 2023.</p> <ul> <li>File code: LIV_LL_CAM1B_2023_v100</li> <li>Location code: LIV</li> <li>Site code: LL</li> <li>Instrument code: CAM1B</li> <li>Period: 2023</li> <li>Version: 1.0.0 (jpg images as they were obtained from camera, without processing)</li> <li>Camera/manufacturer: CC5MPX by Campbell Scientific Inc.</li> <li>Resolution/Type/Format: 5Mpixels in RGB in jpg files</li> <li>Frequency: 3 images per day at 14h, 15h and 16h GMT</li> <li>Site: Close to Limnopolar Lake CALM site, in Limnopolar Lake basin (Byers Peninsula), Livingston island, Antarctica.</li> <li>Location: </li> <li>Elevation:</li> <li>Initial dataset date/time: February 8, 2023 14:00h GMT</li> <li>Final dataset date/time: February 10, 2024 16:00h GMT</li> <li>Gaps: None</li> <li>Notes: <ul> <li>Folders: 13</li> <li>Files: 1104</li> <li>Other files: none</li> <li>Folder names structure: year_month</li> <li>Datafiles names structure: Site_camera_year_month_day_hour_minute_second.jpg</li> </ul> </li> </ul>
Finite strain continuum phenomenological model describing the shape-memory effects in multi-phase semi-crystalline networks
<p>This dataset comes from the following paper:</p> <p>Matteo Arricca, Nicoletta Inverardi, Stefano Pandini, Maurizio Toselli, Massimo Messori, Giulia Scalet, Finite strain continuum phenomenological model describing the shape-memory effects in multi-phase semi-crystalline networks, Journal of the Mechanics and Physics of Solids, 105955, 2024. <a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.jmps.2024.105955" target="_blank" rel="noopener"><span><span>https://doi.org/10.1016/j.jmps.2024.105955</span></span></a></p> <p>It contains:</p> <ul> <li>"Notes.pdf" describing all the files uploaded</li> <li>. txt experimental data</li> </ul>
Phenomenological images (LL-CAM2) of Limnopolar Lake CALM site, Byers Peninsula, Livingston island, Antarctica (2023).
<p>Images acquired by a phenomenological automatic time-lapse camera (LL-CAM2) located in Limnopolar Lake permafrost and active layer monitoring site in the Limnopolar Lake basin in Byers Peninsular, Livingston island, Antarctica, in 2023.</p> <ul> <li>Location: Livingston Island, Antarctica</li> <li>Site: Limnopolar Lake sounders</li> <li>Instrument/Experiment: Phenomenological time-lapse automatic photographic camera</li> <li>Period: 2023</li> <li>Version: 1.0.0 (jpg images as they were obtained from camera, without processing)</li> <li>Camera/manufacturer: CC5MPX by Campbell Scientific Inc.</li> <li>Resolution/Type/Format: 5Mpixels in RGB in jpg files</li> <li>Frequency: 3 images per day at 14h, 15h and 16h GMT</li> <li>Site: Close to Limnopolar Lake CALM site, in Limnopolar Lake basin (Byers Peninsula), Livingston island, Antarctica.</li> <li>Latitude: -62.6485556 </li> <li>Longitude:-61.1013611</li> <li>Elevation: 77 m</li> <li>Initial dataset date/time: February 8, 2023 14:00h GMT</li> <li>Final dataset date/time: February 10, 2024 16:00h GMT</li> <li>Gaps: None</li> <li>Notes: <ul> <li>File code: LIV_LL_CAM2_2023_v100</li> <li>Location code: LIV</li> <li>Site code: LL</li> <li>Instrument code: CAM2</li> <li>Folders: 13</li> <li>Files: 1103</li> <li>Other files: none</li> <li>Folder names structure: year_month</li> <li>Datafiles names structure: Site_camera_year_month_day_hour_minute_second.jpg</li> </ul> </li> </ul>
Phenomenological EOS Data Set
<p>The MATLAB workspace file eos_data_set.mat contains the parameters and physical properties of 1,966,225 phenomenological neutron star (NS) equations of state (EOS).</p>
Phenomenological images (LL-CAM2) of Limnopolar Lake CALM site, Byers Peninsula, Livingston island, Antarctica (2022).
<p>Images acquired by a phenomenological automatic time-lapse camera (LL-CAM2) located in Limnopolar Lake permafrost and active layer monitoring site in the Limnopolar Lake basin in Byers Peninsular, Livingston island, Antarctica, in 2022.</p> <ul> <li>Location: Livingston Island, Antarctica</li> <li>Site: Limnopolar Lake sounders</li> <li>Instrument/Experiment: Phenomenological time-lapse automatic photographic camera</li> <li>Period: 2022</li> <li>Version: 1.0.0 (jpg images as they were obtained from camera, without processing)</li> <li>Camera/manufacturer: CC5MPX by Campbell Scientific Inc.</li> <li>Resolution/Type/Format: 5Mpixels in RGB in jpg files</li> <li>Frequency: 3 images per day at 14h, 15h and 16h GMT</li> <li>Site: Close to Limnopolar Lake CALM site, in Limnopolar Lake basin (Byers Peninsula), Livingston island, Antarctica.</li> <li>Latitude: -62.6485556 </li> <li>Longitude:-61.1013611</li> <li>Elevation: 77 m</li> <li>Initial dataset date/time: January 25, 2022 14:00h GMT</li> <li>Final dataset date/time: February 7, 2023 16:00h GMT</li> <li>Gaps: None</li> <li>Notes: <ul> <li>File code: LIV_LL_CAM2_2022_v100</li> <li>Location code: LIV</li> <li>Site code: LL</li> <li>Instrument code: CAM2</li> <li>Folders: 14</li> <li>Files: 1132</li> <li>Other files: none</li> <li>Folder names structure: year_month</li> <li>Datafiles names structure: Site_camera_year_month_day_hour_minute_second.jpg</li> </ul> </li> </ul>
Phenomenological images (LL-CAM2) of Limnopolar Lake CALM site, Byers Peninsula, Livingston island, Antarctica (2024).
<p>Images acquired by a phenomenological automatic time-lapse camera (LL-CAM1B) located in Limnopolar Lake permafrost and active layer monitoring site in the Limnopolar Lake basin in Byers Peninsular, Livingston island, Antarctica, in 2022.</p> <ul> <li>File code: LIV_LL_CAM1B_2022_v100</li> <li>Location code: LIV</li> <li>Site code: LL</li> <li>Instrument code: CAM1B</li> <li>Period: 2022</li> <li>Version: 1.0.0 (jpg images as they were obtained from camera, without processing)</li> <li>Camera/manufacturer: CC5MPX by Campbell Scientific Inc.</li> <li>Resolution/Type/Format: 5Mpixels in RGB in jpg files</li> <li>Frequency: 3 images per day at 14h, 15h and 16h GMT</li> <li>Site: Close to Limnopolar Lake CALM site, in Limnopolar Lake basin (Byers Peninsula), Livingston island, Antarctica.</li> <li>Location: </li> <li>Elevation:</li> <li>Initial dataset date/time: January 26, 2022 15:00h GMT</li> <li>Final dataset date/time: February 7, 2023 16:00h GMT</li> <li>Gaps: None</li> <li>Notes: <ul> <li>Folders: 14</li> <li>Files: 1133</li> <li>Other files: none</li> <li>Folder names structure: year_month</li> <li>Datafiles names structure: Site_camera_year_month_day_hour_minute_second.jpg</li> </ul> </li> </ul>
Phenomenological images (LL-CAM2) of Limnopolar Lake CALM site, Byers Peninsula, Livingston island, Antarctica (2020-21).
<p>Images acquired by a phenomenological automatic time-lapse camera (LL-CAM2) located in Limnopolar Lake permafrost and active layer monitoring site in the Limnopolar Lake basin in Byers Peninsular, Livingston island, Antarctica, in 2020 and 2021.</p> <ul> <li>Location: Livingston Island, Antarctica</li> <li>Site: Limnopolar Lake sounders</li> <li>Instrument/Experiment: Phenomenological time-lapse automatic photographic camera</li> <li>Period: 2020 and 2021</li> <li>Version: 1.0.0 (jpg images as they were obtained from camera, without processing)</li> <li>Camera/manufacturer: CC5MPX by Campbell Scientific Inc.</li> <li>Resolution/Type/Format: 5Mpixels in RGB in jpg files</li> <li>Frequency: 3 images per day at 14h, 15h and 16h GMT</li> <li>Site: Close to Limnopolar Lake CALM site, in Limnopolar Lake basin (Byers Peninsula), Livingston island, Antarctica.</li> <li>Latitude: -62.6485556 </li> <li>Longitude:-61.1013611</li> <li>Elevation: 77 m</li> <li>Initial dataset date/time: January 1, 2020 14:00h GMT</li> <li>Final dataset date/time: January 16, 2022 16:00h GMT</li> <li>Gaps: None</li> <li>Notes: <ul> <li>File code: LIV_LL_CAM2_2020-21_v100</li> <li>Location code: LIV</li> <li>Site code: LL</li> <li>Instrument code: CAM2</li> <li>Folders: 25</li> <li>Files: 2260</li> <li>Other files: none</li> <li>Folder names structure: year_month</li> <li>Datafiles names structure: Site_camera_year_month_day_hour_minute_second.jpg</li> </ul> </li> </ul>
Phenomenological images (LL-CAM1B) of Limnopolar Lake CALM site, Byers Peninsula, Livingston island, Antarctica (2020-21).
<p>Images acquired by a phenomenological automatic time-lapse camera (LL-CAM1B) located in Limnopolar Lake permafrost and active layer monitoring site in the Limnopolar Lake basin in Byers Peninsular, Livingston island, Antarctica, in 2020 and 2021.</p> <ul> <li>File code: LIV_LL_CAM1B_2020-21_v100</li> <li>Location code: LIV</li> <li>Site code: LL</li> <li>Instrument code: CAM1B</li> <li>Period: 2020 and 2021</li> <li>Version: 1.0.0 (jpg images as they were obtained from camera, without processing)</li> <li>Camera/manufacturer: CC5MPX by Campbell Scientific Inc.</li> <li>Resolution/Type/Format: 5Mpixels in RGB in jpg files</li> <li>Frequency: 3 images per day at 14h, 15h and 16h GMT</li> <li>Site: Close to Limnopolar Lake CALM site, in Limnopolar Lake basin (Byers Peninsula), Livingston island, Antarctica.</li> <li>Location: </li> <li>Elevation:</li> <li>Initial dataset date/time: January 16, 2020 15:00h GMT</li> <li>Final dataset date/time: January 25, 2022 16:00h GMT</li> <li>Gaps: None</li> <li>Notes: <ul> <li>Folders: 25</li> <li>Files: 2221</li> <li>Other files: none</li> <li>Folder names structure: year_month</li> <li>Datafiles names structure: Site_camera_year_month_day_hour_minute_second.jpg</li> </ul> </li> </ul>
Phenomenological images (CL-CAM1B) of Crater Lake CALM site, Deception island, Antarctica (2021).
<p>Images acquired by a phenomenological automatic time-lapse camera (CL-CAM1B) located in Crater Lake permafrost and active layer monitoring site in Crater Lake sounders in Deception island, Antarctica, in 2021.</p> <ul> <li>File code: DEC_CL_CAM1B_2021_v100</li> <li>Location code: DEC</li> <li>Site code: CL</li> <li>Instrument code: CAM1B</li> <li>Period: 2021</li> <li>Version: 1.0.0 (jpg images as they were obtained from camera, without processing)</li> <li>Camera/manufacturer: CC5MPX by Campbell Scientific Inc.</li> <li>Resolution/Type/Format: 5Mpixels in RGB in jpg files</li> <li>Frequency: 3 images per day at 14h, 15h and 16h GMT</li> <li>Site: Close to Crater Lake CALM site, in Crater Lake sounders of Deception island, Antarctica.</li> <li>Location: </li> <li>Elevation:</li> <li>Initial dataset date/time: February 20, 2021 14:00h GMT</li> <li>Final dataset date/time: January 13, 2022 15:00h GMT</li> <li>Gaps: None</li> <li>Notes: <ul> <li>Folders: 12</li> <li>Files: 983</li> <li>Other files: none</li> <li>Folder names structure: year_month</li> <li>Datafiles names structure: Site_camera_year_month_day_hour_minute_second.jpg</li> </ul> </li> </ul>
Phenomenological images (CL-CAM2) of Crater Lake CALM site, Deception island, Antarctica (2021).
<p>Images acquired by a phenomenological automatic time-lapse camera (CL-CAM2) located in Crater Lake permafrost and active layer monitoring site in Crater Lake sounders in Deception island, Antarctica, in 2021.</p> <ul> <li>File code: DEC_CL_CAM2_2021_v100</li> <li>Location code: DEC</li> <li>Site code: CL</li> <li>Instrument code: CAM2</li> <li>Period: 2021</li> <li>Version: 1.0.0 (jpg images as they were obtained from camera, without processing)</li> <li>Camera/manufacturer: CC5MPX by Campbell Scientific Inc.</li> <li>Resolution/Type/Format: 5Mpixels in RGB in jpg files</li> <li>Frequency: 3 images per day at 14h, 15h and 16h GMT</li> <li>Site: Close to Crater Lake CALM site, in Crater Lake sounders of Deception island, Antarctica.</li> <li>Location: </li> <li>Elevation:</li> <li>Initial dataset date/time: February 17, 2021 14:00h GMT</li> <li>Final dataset date/time: January 8, 2022 15:00h GMT</li> <li>Gaps: Yes, multiple due to power failure</li> <li>Notes: <ul> <li>Folders: 4</li> <li>Files: 93</li> <li>Other files: no</li> <li>Folder names structure: year_month</li> <li>Datafiles names structure: Site_camera_year_month_day_hour_minute_second.jpg</li> </ul> </li> </ul>
Topology of phenomenological experience: leveraging LLMs and feature similarity
<p>08/28/2023 Presented at the Monash Neuroscience of Consciousness (MoNoC) lab</p> <p>Title: Topology of phenomenological experience: leveraging LLMs and feature similarity</p> <p>https://www.youtube.com/watch?v=Xj5Ww3tCfY4</p> <p>See interactive graphs here: <a href="https://www.youtube.com/redirect?event=video_description&redir_token=QUFFLUhqblRSdVlPeEtOdnhWMVJsaUJCOUJ3cDdMNloyQXxBQ3Jtc0tsSUc4cHJUZ1E2Y19ndmU5Y3VRSFg1Ny1RV3JnQUhUa1Q0QWcwOVFBcmV2R0FFeVdwZ1ZjQ3VlN0tXVVV6OXYyd3JCZDBPRlBOc1VTUk9ib1pNM043S1l3UFgzOHFyalRkX01kNjk1U0d3ZUZpTkVmOA&q=https%3A%2F%2Fyoungzielee.github.io%2F&v=Xj5Ww3tCfY4">https://youngzielee.github.io/</a></p>
Timing and social dynamics of divorce in wild great tits: A phenomenological approach
Open the record for dataset details and reuse information.
Data publication: Simulation of macroscopic boundary value problems using phenomenological material model for steel fiber reinforced high performance concrete (HPC)
<p>This data set contains all necessary inputs for the Simulation of macroscopic boundary value problems using phenomenological material model, including boundary conditions, material parameters and numerical results. The discretization is realized in terms of the finite element method. </p>
Phenomenological Explorations of the Esketamine-Induced Transient Dissociative State
ClinicalTrials.gov study NCT06133309. IPD Sharing: NO. Countries: 1. Publications: 4.
Phenomenology of Anxiety in Preschool Children With ASD
ClinicalTrials.gov study NCT04436432. IPD Sharing: NO. Countries: 1. Publications: 2.
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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.