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2,721 results for “Connectivity”
Connectivity matrix of the internal connectivity of a SSCX model
<p>This is a simplified view of the <i>internal</i> synaptic connectivity of the model deposited under <a href="https://zenodo.org/records/8026353">https://zenodo.org/records/8026353.</a></p><p>While in this view a lot of data is lost compared to the detailed representation linked above (such as the pre- and postsynaptic locations of synaptic contacts and their physiology), it can still be used for structural connectomics analyses.</p><p>The data is in a format that can be loaded using our <a href="https://github.com/BlueBrain/ConnectomeUtilities"><i>Connectome_Utilities</i></a> package. We have converted the internal connectivity of the <a href="https://www.microns-explorer.org/">MICrONS</a> dataset into the same format (<a href="https://zenodo.org/records/8364070">found here</a>), allowing researchers to easily run the same analysis scripts on both datasets.</p>
Data for: Sustainable connectivity in a community repository
<p>Identifiers of many kinds are the key to creating unambiguous and persistent connections between research objects and other items in the global research infrastructure (GRI). Many repositories are implementing mechanisms to collect and integrate these identifiers into their submission and record curation processes. This bodes well for a well-connected future, but many existing resources submitted in the past are missing these identifiers, thus missing the connections required for inclusion in the connected infrastructure. Re-curation of these metadata is required to make these connections.</p> <p>The Dryad Data Repository has existed since 2008 and has successfully re-curated the repository metadata several times, adding identifiers for research organizations, funders, and researchers. Understanding and quantifying these successes depends on measuring repository and identifier connectivity. Metrics are described and applied to the entire repository here.</p> <p>Identifiers for papers (DOIs) connected to datasets in Dryad have long been a critical part of the Dryad metadata creation and curation processes. Since 2019, the % of datasets with connected papers has decreased from 100% to less than 40%. This decrease has significant ramifications for the re-curation efforts described above as connected papers are an important source of metadata. In addition, missing connections to papers make understanding and re-using datasets more difficult.</p> <p>Connections between datasets and papers are many times difficult to make because of time lags between submission and publication, lack of clear mechanisms for citing datasets and other research objects from papers, changing focus of researchers, and other obstacles. The Dryad community of members, i.e. users, research institutions, publishers, and funders have vested interests in identifying these connections and critical roles in the curation and re-curation efforts. Their engagement will be critical in building on the successes Dryad has already achieved and ensuring sustainable connectivity in the future.</p>
Feature attention graph neural network for estimating brain age and identifying important neural connections in mouse models of genetic risk for Alzheimer's disease
<p>Connectome, traits and behavior data for APOE234 mice.</p> <ul> <li>1. connectome.zip: mouse brain structural connectivity matrices from diffusion MRI.</li> <li>2. FAGNN_Phenotype.csv: a sheet of trait information of mice used in the study.</li> </ul> <p>columns: winding numbers, total distance, normalized NE time, normalized NE distance, normalized NW time, normalized NW distance, normalized SE time, normalized SE distance, normlaized SW time, normalized SW distance, island latency to first entry, island entries, normalized thigmataxis time, and normalized thigmotaxis distance</p> <div>rows: 4 trials for each day from day 1 to day 5 with 1 probing test each at day 5 and day 8</div> <ul> <li>3. mouse_anatomy.csv: brain region information regarding the connectivity matrix.</li> <li>4. behavior.zip: behavioral data for each mouse from Morris Water Maze experiments.</li> </ul>
Coral connections within an atoll reef system underlie reef resilience and persistence
<p><span>This study investigates the coral reef connectivity a coral reef atoll using fine-scale bio-physical model along with network analysis. </span></p>
Data for: Aquatic connectivity treatments increase fish and macroinvertebrate use of Typha invaded Great Lakes coastal wetlands
<p>Coastal wetlands provide critical habitat for aquatic organisms and important ecosystem services for the terrestrial and aquatic landscapes they bridge, but increasingly common invasive macrophytes disrupt plant communities, food webs, habitat structure and littoral-pelagic linkages. In Laurentian Great Lakes coastal wetlands, invasive cattails (<em>Typha</em> ×<em>glauca</em> and<em> T. angustifolia</em>, hereafter <em>Typha</em>) homogenize ecosystem structure and reduce nearshore dissolved oxygen, and plant, fish, and macroinvertebrate diversity. We hypothesize that management treatments that reduce<em> Typha </em>and its abundant litter promote structural heterogeneity and mitigate physiochemical and biodiversity impacts.</p> <div>To test this hypothesis, we implemented a large-scale (2048 m<sup>2</sup> treatment units), multi-site (four coastal wetlands) experiment in northern Michigan (USA) to examine how invasive Typha mechanical harvesting treatments (biomass harvest, aquatic connectivity channels, Typha-dominated control) altered fish, macroinvertebrate, plant, larval amphibian abundance and diversity, and water quality for two-years post-treatment. We collected fish, macroinvertebrates, plant, larval amphibian, and water quality data from for two years following the implementation of management treatments. These data are presented in this archived dataset. </div>
Spatial priorities for climate-change refugia and connectivity for British Columbia (Version 1.1)
<p>Climate-informed conservation priorities in British Columbia (Version 1.1)</p> <p>Territorial acknowledgement:</p> <p>We respectfully acknowledge that we live and work across diverse unceded territories and treaty lands and pay our respects to the First Nations, Inuit and Métis ancestors of these places. We honour our connections to these lands and waters and reaffirm our relationships with one another.</p> <p><br>Suggested citation:</p> <p>Stolar, J., D. Stralberg, I. Naujokaitis-Lewis, S.E. Nielsen, and G. Kehm. 2024. Spatial priorities for climate-change refugia and connectivity for British Columbia (Version 1.1). Place of publication: University of Alberta, Edmonton, Canada. doi: 10.5281/zenodo.10603162</p> <p>Corresponding author: stolar@ualberta.ca</p> <p><br>Summary:</p> <p>The purpose of this project is to identify spatial locations of (a) vulnerabilities within British Columbia’s current network of protected areas and (b) priorities for conservation and management of natural landscapes within British Columbia under a range of future climate-change scenarios. This involved adaptation and implementation of existing continental- and provincial-scale frameworks for identifying areas that have potential to serve as refugia from climate change or corridors for species migration.</p> <p>Outcomes of this work include the provision of practical guidance for protected areas network design and vulnerabilities identification under climate change, with application to other regions and jurisdictions. Project results, in the form of multiple spatial prioritization scenarios, may be used to evaluate the resilience of the existing protected area network and other conservation designations to better understand the risks to British Columbia’s biodiversity in our changing climate.</p> <p><br>Description:</p> <p>These raster layers represent different scenarios of Zonation rankings of conservation priorities for climate resilience and connectivity between current and 2080s conditions for a provincial-scale analysis. Input conservation features included metrics of macrorefugia (forward and backward climate velocity (km/year), overlapping future and current habitat suitability for ~900 rare species in BC), microrefugia (presence of old growth ecosystems, drought refugia, glaciers/cool slopes/wetlands, and geodiversity), and connectivity. Please see details in the accompanying report.</p> <p><br>File nomenclature:</p> <p>.zip folder (Stolar_et_al_2024_CiCP_Zenodo_upload_Version_1.1.zip):<br>Contains the files listed below.</p> <p>Macrorefugia (2080s_macrorefugia.tif):<br>Scenarios for each taxonomic group (equal weightings for all species) (Core-area Zonation Function)<br>Climate-type velocity + species scenarios from above (Core-area Zonation; equal weightings)</p> <p>Microrefugia (microrefugia.tif):<br>Scenario with old growth forest habitat, landscape geodiversity, wetlands/cool slopes/glaciers, drought refugia (Core-area Zonation; equal weightings)</p> <p>Overall scenario (2080s_macro_micro_connectivity.tif):<br>Inputs from above (with equal weightings) + connectivity metrics (each weighted at 0.1) (Additive Benefit Function Zonation)</p> <p>Conservation priorities (Conservation_priorities_2080s.tif):<br>Overall scenario from above extracted to regions of low human footprint.</p> <p>Restoration priorities (Restoration_priorities_2080s.tif):<br>Overall scenario from above extracted to regions of high human footprint.</p> <p>Accompanying report (Stolar_et_al_2024_CiCP_Zenodo_upload_Version_1.1.pdf):<br>Documentation of rationale, methods and interpretation.</p> <p>READ_ME file (READ_ME_PLEASE.txt):<br>Metadata.</p> <p><br>Legend interpretation:</p> <p>Ranked Zonation priorities increase from 0 (lowest) to 1 (highest).</p> <p>Raster information:</p> <p>Columns and Rows: 1597, 1368<br>Number of Bands: 1<br>Cell Size (X, Y): 1000, 1000<br>Format: TIFF<br>Pixel Type: floating point <br>Compression: LZW</p> <p><br>Spatial reference:</p> <p>XY Coordinate System: NAD_1983_Albers<br>Linear Unit: Meter (1.000000)<br>Angular Unit: Degree (0.0174532925199433)<br>false_easting: 1000000<br>false_northing: 0<br>central_meridian: -126<br>standard_parallel_1: 50<br>standard_parallel_2: 58.5<br>latitude_of_origin: 45<br>Datum: D_North_American_1983</p> <p><br>Extent:</p> <p>West -139.061502 East -110.430823 <br>North 60.605550 South 47.680823 </p> <p><br>Disclaimer: </p> <p>The University of Alberta (UofA) is furnishing this deliverable "as is". UofA does not provide any warranty of the contents of the deliverable whatsoever, whether express, implied, or statutory, including, but not limited to, any warranty of merchantability or fitness for a particular purpose or any warranty that the contents of the deliverable will be error-free.</p> <p><br>Funding:<br> <br>We gratefully acknowledge the financial support of Environment and Climate Change Canada, the Province of British Columbia through the Ministry of Water, Land and Resource Stewardship) and the Ministry of Environment and Climate Change Strategy, the BC Parks Living Lab for Climate Change and Conservation, and the Wilburforce Foundation.</p>
Data from: Genetic consequences of improved river connectivity in brown trout (Salmo trutta)
<p>Fragmentation of watercourses poses a significant threat to biodiversity, particularly for migratory fish species. Mitigation measures such as fishways, have been increasingly implemented to restore river connectivity and support fish migration. The effects of such restoration efforts are typically tested using telemetry and fisheries methods, which do not fully capture the broader population movements that may have important consequences for population viability. We performed a before-and-after control-impact (BACI) study using genetic tools (SNPs) to investigate the effect of a newly implemented fishway, aiming to enhance upstream spawning migration of brown trout (<em>Salmo trutta</em> Linnaeus) in a reservoir with two headwater tributaries fragmented by man-made weirs. Another reservoir with two barrier-free tributaries was also analysed as a control. Our results showed that the isolated brown trout population was spawning in the reservoir before the installation of the fishway, and we found genetic structuring and differentiation between fragmented headwater tributaries before the fishway construction, but not in the control reservoir. Unexpectedly, after the fishway construction we observed signals consistent with increased genetic differentiation between populations of newly recruited juvenile fish in the reservoir tributary and fish in the reservoir. We propose this was caused by newly enabled philopatric behaviour of brown trout to their natal spawning tributary. In contrast, we did not find any genetic changes in the tributary without a fishway or in the barrier-free reservoir system. Given the scarcity of similar studies, we advocate for an increased use of genetic analyses in BACI studies to monitor and evaluate the effect of efforts to restore habitat connectivity and inform future management strategies.</p>
Population structure and connectivity among coastal and freshwater Kelp Gull (Larus dominicanus) populations from Patagonia
<p>The genetic identification of significant evolutionary units and information on their connectivity can be used to design effective management and conservation plans. Despite having high dispersal capacity, several seabird species show population structure due to both abiotic and biotic barriers to gene flow. The Kelp Gull is the most abundant species of gull in the southern hemisphere. In Argentina it reproduces in both marine and freshwater environments, with more than 100,000 pairs following a metapopulation dynamic across 140 colonies in the Atlantic coast of Patagonia. However, little is known about the demography and connectivity of inland populations. We aim to provide information on the connectivity of the largest freshwater colonies (those from Nahuel Huapi Lake) with the closest Pacific and Atlantic populations to evaluate if these freshwater colonies are being subsidized by the larger coastal populations. We sampled three geographic regions (Nahuel Huapi Lake and the Atlantic and Pacific coasts) and employed a reduced-representation genomic approach to genotype individuals for single-nucleotide polymorphisms (SNPs). We found, using clustering and phylogenetic analyses, that there are three genetic groups, each corresponding to one of our sampled regions. Individuals from marine environments are more closely related to each other than to those from Nahuel Huapi Lake, indicating that the latter population constitutes the first freshwater Kelp Gull colony to be identified as a significant evolutionary unit in Patagonia.</p>
Data from: Seed dispersal mode and habitat connectivity underpin variation in carbon stocking between Brazilian biomes
<p>In tropical forests, about 60 to 80% of woody plant species depend on animal-plant interactions for dispersal. The dependence on animal species for dispersal makes this interaction very fragile in the face of anthropogenic changes in land use. Disrupting seed dispersal processes, principally zoochoric dispersal, could significantly alter the long-term carbon storage potential of tropical forests. An important question is how landscape structure changes tree carbon stocks in different types of tropical vegetation and how variation is mediated by the dispersal mode of animal (zoochoric) or abiotic (non-zoochoric) seeds. We focused on tree plots at 126 sites in Brazil spanning four types of forest and savanna vegetation, and calculated carbon stored in zoochoric, non-zoochoric, and large frugivore-dispersed species. Our results showed that carbon stocks in zoochoric species and non-zoochoric species differ significantly among vegetation types, with rainforests having higher stocks in zoochoric species and semideciduous seasonally dry tropical forests having higher values in non-zoochoric species. A greater area of native vegetation promotes higher proportions of carbon stocks dispersed by large frugivore species, whereas a higher mean shape index reduces this proportion. Synthesis: This study highlights that seed-dispersal type underpins the variation in carbon stocks between vegetation types and that the maintenance of habitat of large dispersers and connectivity are key for retaining carbon stocks in zoochoric species, particularly in rainforest and cerrado sensu stricto.</p>
Biaxial seismic response of base-column connections in sub-standard steel buildings: dataset
<p><span>A complete dataset on the response of (semi-rigid and partial strength) column base plate connections in a substandard steel frame tested experimentally, are provided. Free-vibration, cyclic and pseudo-dynamic tests were carried out </span><span>at the Structures Laboratory (STRULAB) of the University of Patras in the framework of </span><span>H2020 EU-funded "</span><span>Engineering Research Infrastructures for European Synergies (ERIES)" project.</span></p> <p><span> </span></p>
Data from: Directed and acyclic synaptic connectivity in the human layer 2-3 cortical microcircuit
<p>The computational capabilities of neuronal networks are fundamentally constrained by their specific connectivity. Previous studies of cortical connectivity have been mostly carried out in rodents; however, whether the principles also apply to the evolutionary expanded human cortex is unclear. Here we studied network properties within the human temporal cortex using samples obtained from brain surgery. We analyzed multi-neuron patch-clamp recordings in layer 2-3 pyramidal neurons and identified substantial differences compared to rodents. Reciprocity showed random distribution, synaptic strength was independent from connection probability and connectivity of the supragranular temporal cortex followed a directed and mostly acyclic graph topology. Application of these principles in neuronal models increased the dimensionality of network dynamics suggesting a critical role for cortical computation.</p>
Supplementary material for: Coral reef potential connectivity in the southwest Indian Ocean
<p>Supplementary datasets and scripts for <em>Coral reef potential connectivity in the southwest Indian Ocean</em>. Please see the readme!</p>
Seasonality in functional connectivity: A case study with the American marten in Forillon National Park
<p>Protected areas are essential tools for reducing global biodiversity loss. To fulfill their ecological functions, protected areas must be connected to their surroundings, a requirement that is difficult to meet in landscapes intensively disturbed by anthropogenic activities. Therefore, protecting movement corridors at the edges of protected areas is crucial, especially for species with broad habitat needs, such as the American marten (<em>Martes americana</em>). However, habitat selection and space use patterns are dynamic processes, so we could expect that functional connectivity would vary temporally in response to changing environmental conditions and levels of human activities. In this study, we aimed to predict the location of movement corridors for the American marten in Forillon National Park and its periphery during two contrasted periods (snow-free: May–November; snow-covered: December–April). We used "seasonal" resource selection functions to identify core areas (interpreted as circuit "nodes") and CircuitScape to delineate movement corridors between them based on the electrical circuit theory. Habitat selection patterns differed between periods, with martens avoiding open areas, high elevations, and road proximity during the snow-free period, while avoiding areas closer to secondary roads but selecting areas closer to primary roads and housing structures during the snow-covered period. Consequently, the location of movement corridors differed partially between periods; functional connectivity was favored by the presence of forest patches for both periods, while being constrained by open environments, especially during the snow-free period. Our study highlights the importance of modeling functional connectivity at fine temporal scales to provide movement corridors that fulfill the requirements of a species at each period of its annual cycle.</p>
Data from: The neural basis of resting-state fMRI functional connectivity in fronto-limbic circuits revealed by chemogenetic manipulation
<p>Included are raw neuroimaging and preprocessed neural recording data from "The neural basis of resting-state fMRI functional connectivity in fronto-limbic circuits revealed by chemogenetic manipulation" (see Related Works section; citation will be updated after publication). Please cite this paper if you use any of these data. Refer to the linked github repository for associated code.</p> <p>Neuroimaging data is organized in BIDS format and saved as NIfTI files. We used MION (monocrystalline iron oxide nanoparticle) as a contrast agent. Functional resting state files can be found in the 'func' folder for each imaging session. The final six runs are resting state data (the first two/three are short EPI sequences used to test that MION is present in the brain; all resting state data used in our analyses consist of 300 volumes). The first three of these six runs consist of baseline data with no drug treatment. Four through six are resting state data recorded after I.M. injection of vehicle (2% DMSO in saline), dechloroclozapine (DCZ) or clozapine-N-oxide (CNO). </p> <p>Neural recording data is separated into LFP data, organized by folder, and putative single units, organized the 'Sorted neurons' folder. LFP data folders are named by subject's intial and date of recording. Single units are labeled according to this same system. All data are stored in .mat format and can be opened in MATLAB. KB2.mat files store timing information: the first event in the KBD2 file indicates the start of baseline, pre-injection data acquisition, and the second event indicates the start of post-injection treatment data. The KB3.mat files contains the timing information of the drug injection. As with the fMRI data, we treated animals with I.M. injection of vehicle, DCZ, or CNO. </p> <p>Treatment information for both modalities is as follows. Neuroimaging: 2020/03/16 Animal L DCZ 1; 2020/05/27 Animal H vehicle 1; 2020/06/01 Animal L vehicle 1; 2020/06/08 Animal H DCZ 1; 2020/06/22 Animal L DCZ 2; 2020/06/24 Animal H vehicle 2; 2020/07/06 Animal L vehicle 2; 2020/07/08 Animal H DCZ 2; 2021/10/25 Animal L CNO; 2022/01/13 Animal H CNO. Neural recordings: 2022/04/14 Animal H DCZ 1; 2022/04/21 Animal H vehicle 1; 2022/05/12 Animal H DCZ 2; 2022/05/24 Animal H vehicle 2; 2022/06/03 Animal H CNO; 2022/08/18 Animal L vehicle 1; 2022/08/25 Animal L DCZ 1; 2022/09/01 Animal L DCZ 2; 2022/09/08 Animal L vehicle 2; 2022/09/22 Animal L CNO.</p>
Data from: Functional connectivity in sympatric spiny rats reflects different dimensions of Amazonian forest-association
<p><span><strong>Aim: </strong>Understanding how the landscape influences gene flow is important in explaining biodiversity, especially when co-distributed taxa across heterogeneous landscapes exhibit species-specific habitat associations. Here, we test predictions about the effects of forest-type on population connectivity in two sympatric species of spiny rats that differ in their forest associations. Specifically, we evaluate the hypothesis that seasonal floodplain forests (<em>várzea</em>) provide linear connectivity, facilitating gene flow among individuals, while non-flooded forests (<em>terra-firme</em>) may diminish the functional connectivity.</span></p> <p><span><strong>Location:</strong> Western Amazon, South America.</span></p> <p><span><strong>Taxon:</strong> <em>Proechimys simonsi</em> (non-flooded forests, <em>terra-firme</em>) and <em>Proechimys steerei</em> (seasonal floodplain forests, <em>várzea</em>).</span></p> <p><span><strong>Methods:</strong> We analyze about 13,000 SNPs along with characterizations of landscape heterogeneity for two forest types to test for differences in the functional connectivity. Influence of the landscape and environmental variables are quantified using maximum-likelihood population effect (MLPE) models to identify the relative importance of variables in explaining the gene flow.</span></p> <p><span><strong>Results:</strong> There are significant differences in functional connectivity between species. However, the genomic data does not support the conventional hypotheses of higher connectivity for inhabitants of <em>várzea</em> than those of<em> terra-firme</em>. Stronger genetic structure in <em>P. steerei</em> than <em>P. simonsi </em>based on IBD models suggests reduced gene flow in species associated with <em>várzea</em> forests. Isolation by resistance reinforces that wetland habitats inhibit and promote the functional connectivity in <em>P. simonsi</em> and <em>P. steerei, </em>respectively, although large distances along the rivers can prevent gene flow in <em>P. steerei</em>.</span></p> <p><span><strong>Main conclusions: </strong>Interpreting differences between connectivity in taxa apparent from genetic analyses through the lens of a single dimension of Amazonian heterogeneity – that is, forest type – may be an oversimplification. Our statistical modeling and fit of the data to different models points to specific environmental and habitat differences between the ecological divergent spiny rat species that may contribute to differences in the genetic structure of these sympatric taxa.</span></p>
Total Family Resemblance Network: Virtual - 20000 connections in Gephi
<p>This is the rendering of the entire network on a large scale with additional zoomed-in views for better clarity. The size of the feature nodes is proportional to their degree. The degree of a node is defined by its number of connections. Therefore, nodes with a greater degree are represented as larger in size. This variation in size effectively embeds an additional dimension of information into the network’s structure.</p> <div>These perspectives enhance the readability of specific sections of the network and add depth to the representation, thereby illustrating the complexity and intricacies of the relationships within it.</div> <div>The view of the center closely resembles a weave or fabric due to the sheer volume of connections, creating an effect where the edges themselves seem indistinguishable, collectively forming a fabric-like structure. This representation invites multiple interpretations: it illustrates the dynamic and continually evolving nature of the concept, where new connections and features are perpetually integrated, further enriching the network; it signifies a high level of integration, suggesting that understanding one semantic feature likely leads to insights into others; and it implies that a segmented approach might not suffice for fully comprehending and analyzing this concept. Instead, a holistic view, considering the synergy and cumulative impact of various features, might be more effective in grasping the concept.</div>
Searching to improve connectivity in fragmented landscapes: Road verges as complementary habitats
<p><strong>Abstract</strong></p> <p><strong>Aims: </strong>Functional connectivity is crucial for conserving biodiversity and ecosystem services in fragmented landscapes. Linear landscape elements play an important role in providing refuge for plants and pollinators, as well as serving as biological corridors.<strong> </strong>The aim of this study was to assess the importance of road verges in maintaining the ecological connectivity of plant species assemblages in the Tandilia mountain system.</p> <p><strong>Location: </strong>South America. Southern Pampa region of Argentina. Tandilia mountain system.</p> <p><strong>Methods:</strong> Using graph theory, landscape connectivity was quantified both at landscape scale and at the patch scale using the probability connectivity index (PC<sub>num</sub>), taking into account the dispersal ability of observed species. The contribution of each landscape element to habitat availability and connectivity was evaluated using different fractions of the PC<sub>num</sub> metric. Likewise, the influence of connectivity variables in explaining species assemblages grouped by functional categories was investigated using canonical ordination techniques.</p> <p><strong>Results: </strong>The inclusion of road verges led to an 81% increase in overall connectivity at a threshold distance of 500 m. Connectivity significantly explained the assemblages of entomophilous plant species for all dispersal distances. Annual species assemblage variation was associated with intra-patch connectivity. Variation in perennial and shrub species assemblages was explained by intra-patch and inter-patch connectivity.</p> <p><strong>Conclusions: </strong>Preservation and restoration of these linear landscape elements play a pivotal role in transitioning towards more sustainable agroecosystems. This ecological and practical information may help prioritize plant species and the sites used to restore an essential but neglected ecosystem.</p> <p>This dataset includes: </p> <ol> <li>GPS coordinates for sampling sites.</li> <li>Data matrix includes sites x presence-absence of entomophilous plant species for the 54 sampling sites, 20 sierras and 34 rural road verges. The sierras are listed by name, while the road verges are identified by numbers.</li> </ol>
Connecting Classical and Quantum
<p>The incompatibility of quantum mechanics and general relativity presents a major challenge in physics.</p> <p>This paper explores a framework where <strong>spacetime</strong> <strong>emerges</strong> <em>from a spin network</em>, a discrete quantum geometry operating within <em>quantum foam</em>. Gravitons act as excitations of this network, linking quantum and classical descriptions of gravity.</p> <p>Dark energy, driven by entanglement or quantum foam dynamics, explains the universe’s accelerated expansion. By addressing black hole entropy, time emergence, and testable quantum corrections, <strong><em>this work aims to advance efforts toward a unified theory of quantum gravity. <br></em></strong></p> <p>This paper is <em>my current understanding and idea</em> of a unified framework for quantum gravity by integrating <strong>spin networks, quantum foam, and gravitons</strong>. Spacetime, emerging from a discrete quantum geometry, transitions to classical curvature through <em>coarse-graining</em>. </p> <p>Gravitons are treated as excitations of spin networks, mediating spacetime curvature, while dark energy <em>arises as a manifestation</em> of quantum entanglement or residual vacuum energy. <strong>Key features include the emergence of time, black hole entropy quantization, and testable predictions such as quantum corrections to gravitational waves and CMB anomalies.</strong> This work offers a foundation for connecting quantum mechanics and general relativity.<strong><em><br></em></strong></p>
Sediment flow Connectivity Index (SfCI) data in Apulia region (Italy)
<p><span>This dataset includes Sediment flow Connectivity Index (SfCI) data for Apulia region (Italy). The data are separated into folders: input data, graphs, index maps and product maps. The approach applied to build the geodatabase is based on the step-by-step processing of SfCI (Zingaro et al., 2019). The product maps of the geodatabase represent sediment mobility and connectivity maps of Apulia region, implemented also in a WebGIS platform.</span></p>
Remote sensing of multitemporal functional lake-to-channel connectivity and implications for water movement through the Mackenzie River Delta, Canada
<p>Dataset representing functional lake-to-channel connectivity in the Mackenzie Delta, NWT, Canada between 1984 and 2022 (final.class_20230324.feather), developed using Landsat 5, 7, and 9 optical imagery. </p> <p>Data in folders corresponds to data processing steps in scripts: https://doi.org/10.5281/zenodo.14618991</p> <p>Associated with manuscript: Remote sensing of multitemporal functional lake-to-channel connectivity and implications for water movement through the Mackenzie River Delta, Canada in WRR: Dolan, W., Pavelsky, T. M., & Piliouras, A. (2024). Remote sensing of multitemporal functional lake‐to‐channel connectivity and implications for water movement through the Mackenzie River Delta, Canada. <em>Water Resources Research</em>, <em>60</em>(4), e2023WR036614. https://doi.org/10.1029/2023WR036614</p>
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.