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1,221 results for “Aggregators”
1100_2023_03_12_aggregates_downUpshift_glu_2_0_twice_gcd2_gcd6_gcn3_gcd7_sui2_00 (part 2)
High throughput time lapse experiment. Details can be found on the 'txt' files inside.
1100_2023_03_12_aggregates_downUpshift_glu_2_0_twice_gcd2_gcd6_gcn3_gcd7_sui2_00 (part 1)
High throughput time lapse experiment. Details can be found on the 'txt' files inside.
Raw images for bead aggregation assays - Heterophilic and homophilic cadherin interactions in intestinal intermicrovillar links are species dependent
<p>Intermicrovillar links are formed by two non-classical members of the cadherin superfamily of calcium-dependent cell adhesion proteins: protocadherin-24 (PCDH24, also known as CDHR2) and the mucin-like protocadherin (CDHR5). Images in this data set are for bead aggregations assays used to identify the PCDH24 and CDHR5 domains involved in both heterophilic and homophilic adhesion for human and mouse proteins.</p>
Figure 2 in Fish aggregations and reproductive behaviour on mesophotic coral ecosystems of a southwestern Atlantic Oceanic archipelago
Figure 2. Aggregation with dozens terminal phase individuals of the parrotfish Sparisoma amplum in Fernando de Noronha Archipelago, southwestern Atlantic. Photos by P.H.C. Pereira.
Figure 1 in Fish aggregations and reproductive behaviour on mesophotic coral ecosystems of a southwestern Atlantic Oceanic archipelago
Figure 1. The marbled grouper Dermatolepis inermis in lower mesophotic reefs of the Fernando de Noronha Archipelago (A), and the aggregation site with six fish in the field of view (B), including individuals with the tuxedo colour pattern (C), and yellow fin margins and white belly (D). Photo by L. A. Rocha (A) and frames from videos recorded by J. B. Teixeira (B – D).
Compilation of Aggregates in ASP Systems
<p>Experiments used in the paper Compilation of Aggregates in ASP Systems, accepted at AAAI 2022.</p>
Copernicus EMS flood activations delimitations (2012 - 2020) rasterised at 30m and aggregated per year and season
<p>This dataset was created as part of the <a href="https://opendatascience.eu/">Geo-harmonizer project</a>, with the scope of making open data easier to access. It contains all the flood activations mapped by the <a href="https://emergency.copernicus.eu/mapping/list-of-activations-rapid">Copernicus Emergency Rapid Mapping Service</a> between 2012 and 2020. To obtain these GeoTIFFs, the vector data packages from CEMS were individual downloaded, rasterized and mosaicked per year and season, resampled at 30-m and reprojected to <a href="https://epsg.io/3035">EPSG 3035: ETRS89-extended / LAEA Europe</a>. If no CEMS flood activation was identified in a specific year and season, the raster was not created. The rasters are provided as COG files, type=16Int, the flooded area pixels have value 100, nodata value is 255.</p> <p>To allow an easier and faster search through all 2012 - 2020 CEMS flood activations, we have prepared a point vector layer (geojson) containing one point for each flood activation area of interest with the following attributes attached: CEMS identification number <ems_id>, area of interest defined by CEMS <ems_aoi>, URL link to the CEMS activation <ems_link>, year of the event <year_start>, <year_end> , <season> and the name of the <geo_harmonizer_raster> where the 30m rasterised delimitations of the flooded areas of the corresponding flood activation can be found. </p> <p>For any additional questions regarding the data, please contact the author at codrina.ilie[at]terrasigna.com.</p> <p>The Copernicus Emergency Rapid Mapping Service data access policy is available <a href="https://emergency.copernicus.eu/mapping/sites/default/files/files/CopernicusEMS-Data_and_Dissemination_Policy.pdf">here</a>.</p>
Aggregated FIN10K Dataset
<p>These seven .csv files contain the logarithms of the stock return volatitilies, as well as the MDA sections of the FIN10K dataset used to replicate the experiment done in <a href="http://doi.org/10.1016/j.ejor.2016.06.069">Tsai and Wang (2017</a>), but for FETILDA. They are directly used by the Python scripts for training, validation, and testing. Among them, train-results.csv is used for training and testing, and the rest of the six .csv files are used for testing for the years 2001-2006, respectively.</p>
Dataset 1 for: Multi-eGO: an in-silico lens to look into protein aggregation kinetics at atomic resolution
<p><strong>Dataset</strong></p> <p>Molecular dynamics simulation trajectories of TTR peptide monomers and aggregation kinetics:</p> <ul> <li>Amber99sb_disp: TTR monomer in explicit solvent using amber99disp force field.</li> <li>multi-GO-monomer: TTR monomer simulation using the multi-GO force field.</li> <li>multi-eGO-monomer: TTR monomer simulation using the multi-eGO ensemble force field.</li> <li>multi-eGO-XXmM-Y: aggregation kinetics simulations of TTR using the multi-eGO force field at XXmM concentration replicate Y.</li> <li>.ipynb files: analysis script employed for the aggregation kinetics simulations.</li> <li>TTR aggregation kinetics movies.</li> </ul>
Quadtree aggregations of TEAM forecast model
<p>The Tectonic Earthquake Activity Model (TEAM) is a geodetic-based model using Version 2.1 of the Global Strain Rate Map (GSRM2.1; Kreemer et al., 2014), while the World Hybrid Earthquake Estimates based on Likelihood scores (WHEEL) is a model obtained from a multiplicative log-linear combination of TEAM with the Smoothed Seismicity (KJSS) model of Kagan and Jackson (2011).</p> <p>The forecast model is proposed and described in the following publication:</p> <p>Bayona, J.A., Savran, W., Strader, A., Hainzl, S., Cotton, F. and Schorlemmer, D., 2021. Two global ensemble seismicity models obtained from the combination of interseismic strain measurements and earthquake-catalogue information. <em>Geophysical Journal International</em>, <em>224</em>(3), pp.1945-1955.</p> <p>Multi-resolution grids are generated using Quadtree. The grids are generated based on earthquake catalog data and strain data points. Each file in the repository represents a forecast aggregated on a particular grid. The forecast file naming is derived from the criteria used to generate the grid. For example, 'N' stands for number earthquakes, 'SN' stands for Strain data points, and 'L' stands for maximum zoom-level allowed for the grid. </p> <p>The forecast is represented in the following format:</p> <p> </p> <table align="center"> <tbody> <tr> <td>Tile</td> <td>depth_min</td> <td>depth_max</td> <td>5.95</td> <td>6.05</td> <td>6.15</td> <td>6.25</td> <td> ...</td> </tr> <tr> <td>'000'</td> <td>0</td> <td>70</td> <td>0.00715</td> <td>00.00604</td> <td>0.00485</td> <td>0.00323</td> <td> ...</td> </tr> </tbody> </table> <p> </p>
FIGURE. Selected specimens previously cited under Thalictrum atriplex by Wang (2018) but actually should not belong to that species, with their identity remaining to be determined. A. China, Sichuan, Kangding, K.C. Kuan & W.T. Wang 69 (PE01040677) (inset: flower). B. Duplicate (PE00447960) (inset: aggregate fruit). C. China, Sichuan, Kangding, H.L. Tisang 36027 (PE00447943) (inset: flower). D. China, Sichuan, Kangding, C.S. Liu 695 (PE00447956) (inset: aggregate fruits). in Thalictrum spiristylum (Ranunculaceae), described from northwestern Yunnan, China, is merged with T. atriplex
FIGURE. Selected specimens previously cited under Thalictrum atriplex by Wang (2018) but actually should not belong to that species, with their identity remaining to be determined. A. China, Sichuan, Kangding, K.C. Kuan & W.T. Wang 69 (PE01040677) (inset: flower). B. Duplicate (PE00447960) (inset: aggregate fruit). C. China, Sichuan, Kangding, H.L. Tisang 36027 (PE00447943) (inset: flower). D. China, Sichuan, Kangding, C.S. Liu 695 (PE00447956) (inset: aggregate fruits).
FIGURE. Thalictrum uncatum in the wild (Shangri-la in northwestern Yunnan, China). A. Habitat. B. Habit. C. Leaf (left: adaxial side; right: abaxial side). D. Leaflet (left: adaxial side; right: abaxial side). E. Flower. F. Sepals. G. Stamens. H. Carpels. I. Aggregate fruit (immature). J. Achenes (immature). Photographed by Y.P. Zeng. in Thalictrum spiristylum (Ranunculaceae), described from northwestern Yunnan, China, is merged with T. atriplex
FIGURE. Thalictrum uncatum in the wild (Shangri-la in northwestern Yunnan, China). A. Habitat. B. Habit. C. Leaf (left: adaxial side; right: abaxial side). D. Leaflet (left: adaxial side; right: abaxial side). E. Flower. F. Sepals. G. Stamens. H. Carpels. I. Aggregate fruit (immature). J. Achenes (immature). Photographed by Y.P. Zeng.
FIGURE. Thalictrum uncatum in the wild (Xiaojin county in western Sichuan, China). A. Habitat. B. Habit. C. Leaf (left: adaxial side; right: abaxial side). D. Leaflet (left: adaxial side; right: abaxial side). E. Portion of inflorescence. F. Flower. G. Sepals. H. Stamens. I. Carpels. J. Aggregate fruit (immature). K. Achenes (immature). Photographed by Y.P. Zeng. in Thalictrum spiristylum (Ranunculaceae), described from northwestern Yunnan, China, is merged with T. atriplex
FIGURE. Thalictrum uncatum in the wild (Xiaojin county in western Sichuan, China). A. Habitat. B. Habit. C. Leaf (left: adaxial side; right: abaxial side). D. Leaflet (left: adaxial side; right: abaxial side). E. Portion of inflorescence. F. Flower. G. Sepals. H. Stamens. I. Carpels. J. Aggregate fruit (immature). K. Achenes (immature). Photographed by Y.P. Zeng.
FIGURE. Thalictrum atriplex in the wild (Shangri-la county in northwestern Yunnan, China). A. Habitat. B. Habit. C. Roots. D. Portion of stem. E. Leaf (left: adaxial side; right: abaxial side). F. Leaflet (adaxial side). G. Portion of inflorescence. H. Flower. I. Sepal (left: adaxial side; right: abaxial side). J. Stamens. K. Carpels. L. Portion of infructescence. M. Aggregate fruits (immature). N. Achenes (immature). Photographed by Y.P. Zeng. in Thalictrum spiristylum (Ranunculaceae), described from northwestern Yunnan, China, is merged with T. atriplex
FIGURE. Thalictrum atriplex in the wild (Shangri-la county in northwestern Yunnan, China). A. Habitat. B. Habit. C. Roots. D. Portion of stem. E. Leaf (left: adaxial side; right: abaxial side). F. Leaflet (adaxial side). G. Portion of inflorescence. H. Flower. I. Sepal (left: adaxial side; right: abaxial side). J. Stamens. K. Carpels. L. Portion of infructescence. M. Aggregate fruits (immature). N. Achenes (immature). Photographed by Y.P. Zeng.
FIGURE. Thalictrum atriplex in the wild (Kangding county in western Sichuan, China, the type locality). A. Habitat. B. Habit. C. Roots. D. Portion of stem. E. Leaf (left: adaxial side; right: abaxial side). F. Leaflet (adaxial side). G. Portion of inflorescence. H. Flower. I. Sepal (left: adaxial side; right: abaxial side). J. Stamens. K. Carpels. L. Aggregate fruits (immature). M. Achenes (immature). Photographed by Y.P. Zeng. in Thalictrum spiristylum (Ranunculaceae), described from northwestern Yunnan, China, is merged with T. atriplex
FIGURE. Thalictrum atriplex in the wild (Kangding county in western Sichuan, China, the type locality). A. Habitat. B. Habit. C. Roots. D. Portion of stem. E. Leaf (left: adaxial side; right: abaxial side). F. Leaflet (adaxial side). G. Portion of inflorescence. H. Flower. I. Sepal (left: adaxial side; right: abaxial side). J. Stamens. K. Carpels. L. Aggregate fruits (immature). M. Achenes (immature). Photographed by Y.P. Zeng.
FIGURE. Thalictrum spiristylum (= T. atriplex) in the wild (Ninglang county in northwestern Yunnan, China). A. Habitat. B. Habit (flowering plant). C. Habit (fruiting plant). D. Roots. E. Portion of stem. F. Leaf (left: adaxial side; right: abaxial side). G. Leaflet (adaxial side). H. Portion of inflorescence. I. Flower. J. Sepals (adaxial side). K. Stamens. L. Carpels. M. Portion of infructescence. N. Aggregate fruits (immature). O. Achenes (immature). Photographed by Y.P. Zeng. in Thalictrum spiristylum (Ranunculaceae), described from northwestern Yunnan, China, is merged with T. atriplex
FIGURE. Thalictrum spiristylum (= T. atriplex) in the wild (Ninglang county in northwestern Yunnan, China). A. Habitat. B. Habit (flowering plant). C. Habit (fruiting plant). D. Roots. E. Portion of stem. F. Leaf (left: adaxial side; right: abaxial side). G. Leaflet (adaxial side). H. Portion of inflorescence. I. Flower. J. Sepals (adaxial side). K. Stamens. L. Carpels. M. Portion of infructescence. N. Aggregate fruits (immature). O. Achenes (immature). Photographed by Y.P. Zeng.
Dataset 3 for: Multi-eGO: an in-silico lens to look into protein aggregation kinetics at atomic resolution
<p><strong>Dataset</strong></p> <p>Multi-GO Molecular dynamics simulation trajectories of TTR peptide and aggregation kinetics; Multi-<em>e</em>GO oligomer structures and trajectories:</p> <ul> <li>multi-GO-XXmM: aggregation kinetics simulations of TTR using the multi-eGO force field at XXmM concentration.</li> <li>TTR structures and trajectories of oligomers from dimers to decamers.</li> </ul>
Role of Social Aggregation in the Fitness Cost of Pyrethroid-resistant German Cockroaches
<p>The data reported in the dataset refer to fitness cost of German cockroach and the effect of group size on biological attributes of field German cockroach </p>
Crop Diversification Effects on Soil Aggregation and Aggregate-Associated Carbon and Nitrogen in Short-Term Rainfed Olive Groves under SemiaridMediterranean Conditions
<p>Soil particle aggregation and their associated carbon (C) and nitrogen (N) content can<br> provide valuable diagnostic indicators of changes in soil properties in response to the implementation<br> of different agricultural management practices. In this sense, there is limited knowledge regarding the<br> impact of intercropping on soil organic carbon (SOC) and total nitrogen (TN) pools in aggregates. This<br> study aimed to evaluate the short-term effect (4 years) of three crop diversifications in rainfed olive<br> orchards on soil aggregation, SOC and TN concentration and SOC stocks (SOC-S) under semi-arid<br> Mediterranean conditions. Olive orchards were diversified with Crocus sativus (D-S), Vicia sativa and<br> Avena sativa in rotation (D-O) and Lavandula x intermedia (D-L) and compared with monocropping<br> system (CT). Soil samples were collected at two depths (0–10 and 10–30 cm) and analysed for soil<br> aggregate mass, SOC and TN content in aggregate-size fractions obtained by the wet-sieving method.<br> Changes caused by crop diversifications on SOC-S were also determined. Overall, after 4 years,<br> a reduction in aggregation values was observed. However, D-S increased the macroaggregates<br> (>250 m) percentage, Mean Weigh Diameter values, and Geometric Mean Value in the 0–10 cm.<br> Across treatments, aggregate-associated C in 0–10 cm was higher in the D-S treatment, while in<br> the 10–30 cm soil layer, the greatest values were found in CT. Regarding the SOC-S, after 4 years,<br> significant losses were recorded under CT management in 0–10 cm (1.21 Mg ha1) and 10–30 cm<br> (0.84 Mg ha1), while D-O and D-L showed similar values to those obtained at the beginning of the<br> study. The highest increases in SOC-S were found in D-S, with an increase of 5.88% in the 0–10 cm<br> and 14.47% in the 10–30 cm. Our results showed the high potential of the diversified cropping system<br> to increase soil stability and SOC sequestration.</p>
3D in situ imaging of egg and larval dispersal from a Nassau Grouper spawning aggregation off Little Cayman, Cayman Islands
<p>Over multiple years, we released drifters into egg plumes from the large Nassau Grouper spawning aggregation off the west end of Little Cayman, Cayman Islands. For two cohorts spawned in 2017, we used an in situ plankton imaging system mounted to an undulating towed vehicle to observe the 3D positions of individual eggs and larvae around the drifters up to 36 hours after spawning. We used these data to estimate parameters of a 3D diffusion-mortality model and then predicted the concentration of eggs and larvae around previous years’ drifter tracks to evaluate the possibility of retention and export to nearby islands within five days of spawning. These show local retention on spawning nights in 2017 and 2011, a key year when a large cohort was spawned that subsequently drove population recovery.</p>
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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.