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2,721 results for “Connectivity”
Data from: Connections between the Southern Ocean and the Eastern tropical Pacific in unforced and forced climate model simulations
<p>The sea surface temperature (SST) over the eastern tropical Pacific significantly influences global-mean climate feedback and may be driven in part by the SST over the Southern Ocean. Previous studies demonstrated a teleconnection from the Southern Ocean to the eastern tropical Pacific by perturbing the Southern Ocean climate. We investigate if this teleconnection holds in a fully coupled, freely running climate system using CMIP6 models. We assess the relationship between the Southern Ocean (SO) and the eastern tropical Pacific (SEP) by calculating correlations between SO and SEP SST timeseries within each model and regressions between mean SO and SEP SSTs across models. We show robust, positive SO-SEP relationships in an unforced climate using pre-industrial SSTs, in a forced climate using SST anomalies between pre-industrial and quadrupled CO<sub>2</sub> simulations, and in the SST pattern of the forced response relative to the global-mean SST anomaly. The strength of SO-SEP correlations is positively related to the stratocumulus cloud feedback off the west coast of South America, and negatively related to ocean heat uptake in the same region. As both shortwave cloud feedback and ocean heat uptake are underestimated in climate models, understanding their effects on SO-SEP teleconnections and their interactions is crucial for determining the strength of SO-SEP teleconnection in the real world and its trustworthiness in climate model projection.</p>
Fig. 1 in Refining the Occurrence of Viral Encephalopathy and Retinopathy, Photobacteriosis, and Vibriosis in Connection with Seawater Physicochemical Parameters: A Five-Year Case Study Abstract
Fig. 1: Study area.
Raw coordinates of 3D landmarks related to the article 'A new zooarchaeological application for geometric morphometric methods: Distinguishing Ovis aries morphotypes to address connectivity and mobility of prehistoric Central Asian pastoralists' by Haruda et al.
<p>Raw coordinates from 3D landmarks of <em>Ovis aries </em>astragali. These bones originate from Final Bronze Age archaeological contexts from central and southeastern Kazakhstan. These relate to the article 'A new zooarchaeological application for geometric morphometric methods: Distinguishing <em>Ovis aries</em> morphotypes to address connectivity and mobility of prehistoric Central Asian pastoralists' by Haruda et al. </p>
Dataset for "Using Adaptive Immersive Environments to Stimulate Emotional Expression and Connection in Dementia Care: Insights from User Perspectives towards SENSE-GARDEN"
<p>This dataset contains all qualitative interview data recorded from early stage research on an adaptive, immersive, multi-sensory intervention that is being developed for people living with dementia (SENSE-GARDEN). 52 semi-structured interviews were conducted with people living with mild cognitive impairment, informal caregivers, and professional caregivers across Belgium, Norway, Portugal, and Romania. The aim of these interviews was to collect initial user responses towards SENSE-GARDEN. </p> <p>The pdf file "Registration Sheet and Interview Questions" lists the questions that were asked during the interviews. The excel file "Interview Data with Thematic Analysis" contains all raw interview data with ideas, notes, and codes made during thematic analysis. The first three sheets in the file correspond to the user type (Person with mild cognitive impairment/Informal Caregiver/Professional Caregiver). The fourth sheet, "Overall themes", gives an overview of each theme, subtheme, and relevant quotes belonging to these themes. </p> <p>This research was conducted as part of a larger project. The SENSE-GARDEN project (AAL/Call2016/054-b/2017, implementation period June 2017 - May 2020) is funded by AAL Programme, co-funded by the European Commission and National Funding Authorities of Norway, Belgium, Romania, and Portugal. </p>
The Role of Largest Connected Components in Collective Motion (ANTS 2018)
<p>Simulation program, plotting script, data, and finished plots</p> <p>to compile on a linux machine type "g++ -O3 -Wall main.c"</p> <p> </p> <p>Systems showing collective motion are partially described by<br> a distribution of positions and a distribution of velocities. While models<br> of collective motion often focus on system features governed mostly by<br> velocity distributions, the model presented in this paper also incorpo-<br> rates also features influenced by positional distributions. A significant<br> feature, the size of the largest connected component of the graph in-<br> duced by the particle positions and their perception range, is identified<br> using a 1-d self-propelled particle model (SPP). Based on largest con-<br> nected components, properties of the system dynamics are found that<br> are time-invariant. A simplified macroscopic model can be defined based<br> on this time-invariance, which may allow for simple, concise, and precise<br> predictions of systems showing collective motion.</p>
Embeddings of the UMBC Corpus over WordNet using Shallow Connectivity Disambiguation
<p>Embeddings of the UMBC Corpus over WordNet using Shallow Connectivity Disambiguation. Also includes HolE style word embeddings generated from WordNet.</p>
Data: Computer modelling of connectivity change suggests epileptogenesis mechanisms in idiopathic generalised epilepsy
<p>We provide the generalised fractional anisotropy connectometry database used in our study titled: <em>Computer modelling of connectivity change suggests epileptogenesis mechanisms in idiopathic generalised epilepsy.</em></p>
Supporting data for "Taking connected mobile-health diagnostics of infectious diseases to the field"
<p>Raw and intermediate data used to create figures 1 and 4 of Wood, C.,<em> et al., "</em>Taking connected mobile-health diagnostics of infectious diseases to the field", <strong>Nature</strong> (2019).</p>
Analysis files for MSC Marc finite element software, Article: The analysis of shrink-fit connection – the methods of heating and the factors influencing the distribution of residual stresses
<p>This archive contains model files for Finite Element Analysis of the shrink-fit connection in crankshaft and the files for charts in GNUPlot.</p>
Biological and mechanical complications of angulated abutments connected to fixed dental prostheses. A systematic review with meta-analysis
<p>Dataset for all analyses in the study</p>
Characterization of mortar-timber and timber-timber cyclic friction in timber floor connections of masonry buildings (dataset)
<p>The seismic performance of buildings depends critically on the stiffness and strength of<br> storey diaphragms. Whilst for modern reinforced concrete or steel structures the<br> connection between floors and lateral resisting members is often assumed as<br> monolithic, timber floors and ceilings in masonry buildings are susceptible to sliding in<br> their supports. In fact, the anchorage of timber beams in masonry walls and<br> intermediate supports relies partly or totally on a frictional type of resisting mechanism.<br> The present work contributes to characterize this behaviour by presenting the results of<br> an extensive experimental programme with cyclic friction triplet tests between mortar<br> and timber units, and between timber and timber units. These were produced to be<br> representative of connection typologies characteristic of pre-modern and contemporary<br> construction periods. Each test was performed under a constant level of contact<br> pressure, which was increased throughout each series to cover a range of normal<br> forces foreseeable in building connections. Other aspects are also discussed, such as<br> the influence of cumulative loading or velocity. The experimental dataset is herein made<br> available for public use.</p>
Redwood Connectivity Case Study
<p>Data and code for the Redwood Case Study that accompanies "Apps can help bridge restoration science and practice", by Sperry, Shaw, and Sullivan (2019) in Restoration Ecology.</p>
Integrated Probabilistic Annotation (IPA): A Bayesian-based annotation method for metabolomic profiles integrating biochemical connections, isotope patterns and adduct relationships - Supplementary Data
<ol> <li>Supplementary_data_1: data and code for standards analysis and database update</li> <li>Supplementary_data_2.zip: data and code used for the generation of the synthetic experiment</li> <li>Supplementary_data_3.zip: data, code, and results of the <em>E. coli</em> dataset analysis</li> <li>Supplementary_data_4.zip: data, code, and results of the beer dataset analysis</li> <li>Supplementary_data_5.zip: data, code, and results of the comparison with xMSannotator</li> </ol>
Biophysical models of persistent connectivity and barriers on the northern Mid-Atlantic Ridge
<p>This contains four data files that are all matlab binary files (.mat)</p> <p><strong>all_vent_sites.mat</strong></p> <p>This is a Matlab data file containing the <strong>longitude (column 1)</strong>, <strong>latitude (column 2)</strong>, of all vent sites used in the simulations. Column 3 specifies whether a vent-site is a <strong>known vent site (=1)</strong> or a <strong>ghost vent-site (=0)</strong></p> <p> </p> <p><strong>probeData_20W60W_04S45N.mat</strong></p> <p>This is a Matlab data file containing data on Argo probe cycles used to estimate average ocean currents that drive the particle tracking simulations. The variables in the file are:</p> <ul> <li><strong>fl</strong> Argo float ID </li> <li><strong>depth </strong>parking depth of the Argo float (m)</li> <li><strong>longlatStart </strong>longitude and latitude for the start of one dive cycle</li> <li><strong>longlatEnd </strong>longitude and latitude for the end of one dive cycle</li> <li><strong>month</strong> month of the dive cycle</li> <li><strong>year</strong> year of the dive cycle</li> <li><strong>timeStep</strong> number of days between the start and end of a dive cycle</li> <li><strong>distStep</strong> distance between the start and end positions of a cycle (km)</li> <li><strong>velocity</strong> average velocity of the Argo float over one dive cycle (km/day)</li> <li><strong>pos</strong> the mid-point position of the Argos float for each cycle</li> </ul> <p> </p> <p> </p> <p><strong>vent_connectivity_data.mat</strong></p> <p>This is a Matlab data file containing the connectivity data from the particle tracking simulations. The variables in this file are:</p> <ul> <li><strong>bbox_all</strong> The coordinates for the 64 target boxes</li> <li><strong>particleCount</strong> The number of larval particles starting in each of the 64 target boxes. This should be 100000 for all target boxes</li> <li><strong>connectTime</strong> A 64x64x500 array giving number of particles making a connection between two target boxes. connectTime(i,j,t) = number of particles from box i that have passed though box j in a time <= t. The 500 times correspond to the vector tVec.</li> <li><strong>leaveTime </strong>A 64x500 array giving the time taken for particles to leave their initial target box. leaveTime(i,t) = number of particles starting in box i that leave the box in a time <=t. The 500 times correspond to the vector tVec.</li> <li><strong>C_critical </strong> Critical connection probability</li> <li><strong>tVec</strong> A vector of simulation times. This should be 500 time points starting at day 1 up to day 500</li> <li><strong>tMax</strong> The maximum simulation time (days)</li> </ul> <p> </p> <p> </p> <p><strong>sim_larval_dispersal.mat</strong></p> <p>This is a Matlab data file that contains the dispersal distances of all the simulated larval particles for six planktonic larval durations. The variables in this file are:</p> <ul> <li><strong>bbox_all </strong>The coordinates for the 64 target boxes</li> <li><strong>tMax</strong> The maximum simulation time (days). This is the planktonic larval duration.</li> <li><strong>distAll </strong>The dispersal distance (km) within a given planktonic larval duration (tMax)</li> <li><strong>startAll</strong> The target box where a simulated larval particle started. The position of this box is given by bbox_all</li> </ul> <p> </p>
Figure 2 in Trophic Connections of Leafroller Moths (Lepidoptera: Tortricidae) and Oaks in Sofia Region, Bulgaria
Figure 2. Shares of the oak species in the sample and in the whole country.
Fig. 2 in Boine SnakeBavarioboafrom the Oligocene/Miocene of Eastern Turkey with Comments on Connections Between European and Asiatic Snake Faunas
Fig. 2. The Kurucan section and sample location.
Langmark: annotations for scenes with semantic inconsistencies connecting distributional semantic models to vision science – data and code
<p>Data (including object annotations) and code from the following manuscript:</p> <p><em>Langmark: annotations for scenes with semantic inconsistencies connecting distributional semantic models to vision science</em>.</p>
Support data for conference paper "Assessment of Communication Resource Allocation by the Transmission Control Protocol for the Target Virtual Connection under Competitive Conditions"
<p>Support data for article</p> <p>V. Kovtun, O. Kovtun, K. Grochla, and K. Połys, “Assessment of Communication Resource Allocation by the Transmission Control Protocol for the Target Virtual Connection under Competitive Conditions,” Electronics, vol. 13, no. 7. MDPI AG, p. 1180, Mar. 22, 2024. doi: 10.3390/electronics13071180.</p> <div> <p>This research is part of the project No. 2022/45/P/ST7/03450 co-funded by the National Science Centre and the European Union Framework Programme for Research and Innovation Horizon 2020 under the Marie Skłodowska-Curie grant agreement No. 945339.</p> </div>
Activation and connectivity maps - A chronometric relationship between circuits underlying learning and error monitoring in the basal ganglia and salience network
<p>Activation and connectivity maps of the study "A chronometric relationship between circuits underlying learning and error monitoring in the basal ganglia and salience network".</p> <ul> <li>Error-correct.nii corresponds to the statistical map of group-level differences in BOLD signal between correct and erroneous responses shown in figure 4;</li> <li>Late-initial.nii corresponds to the statistical map of group-level differences in BOLD signal between the initial and late learning periods shown in figure 5;</li> <li>Conn_error-correct_dACC.nii corresponds to the results from the seed-to-voxel gPPI analysis, using the dACC as seed region, showing areas of higher functional connectivity in erroneous compared to correct responses, shown in figure 8.</li> </ul>
TACO: a benchmark for connectivity-invariance in shape correspondence
<div> <h1>TACO: a benchmark for connectivity-invariance in shape correspondence</h1> </div> <p>In real-world scenarios, a major limitation for shape-matching datasets is represented by having all the meshes of the same subject share their connectivity across different poses. Specifically, similar connectivities could provide a significant bias for shape-matching algorithms, simplifying the matching process and potentially leading to correspondences based on recurring triangle patterns rather than geometric correspondences between mesh parts. As a consequence, the resulting correspondence may be meaningless, and the evaluation of the algorithm may be misled.<br>To overcome this limitation, we introduce TACO, a new dataset where meshes representing the same subject in different poses do not share the same connectivity, and we compute new ground truth correspondences between shapes. We extensively evaluate our dataset to ensure that ground truth isometries are properly preserved. We also use our dataset to validate state-of-the-art shape-matching algorithms, verifying a degradation in performance when the connectivity gets altered.</p> <p> </p> <h2><strong>Dataset structure</strong></h2> <ul> <li>offs: a directory containing all the triangular meshes in the dataset in <a href="https://en.wikipedia.org/wiki/OFF_(file_format)#:~:text=OFF%20(Object%20File%20Format)%20is,higher%2Ddimensional%20objects%20as%20well." target="_blank" rel="noopener">OFF file format</a></li> <li>pairs.txt: a list of all the 420 possible pairs of shapes in the dataset</li> <li>gt_matches: a directory containing all the ground truth correspondences listed in `pairs.txt` and stored in <a href="https://it.mathworks.com/help/matlab/apiref/matfileapi.html">MAT file format</a></li> </ul>
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.