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2,721 results for “Connectivity”
Audible Networks: Connecting Texts through Music in 16th-Century Swiss Printed Ballads
<p>In recent years, researchers of early modern print culture, particularly those concerned with news circulation, have increasingly embraced network analysis to account for the flow of information across different regions and media. Even though most of these studies focus on people or cities as nodes and hubs in networks of news distribution, interrelations on a textual level, such as networks of co-citation, have received some attention as well. These approaches, as well as examples of textual network analysis in media history of more recent periods, can serve as inspiration for the study of early modern printed ballads.<br> Like in other printed objects, connections between different ballads can be discerned on a textual level, i.e. as adaptations of existing lyrics, quotation or the combination of several ballads in one print. However, and perhaps obviously, ballads can also be associated on a musical level. The practice of using already existing, popular melodies as a basis for a new text – commonly referred to as “contrafactum” – has repeatedly been shown to be relevant not only as a mnemonic device, but as a means for alluding to themes of existing songs. Previous studies have suggested that this technique was often consciously employed by the authors of songs in order to add an additional layer of meaning.<br> This paper will present some early deliberations within the framework of an ongoing PhD project on political ballads of the 16th-century Swiss Confederation. The project as a whole examines songs from a perspective of media history, investigating their role in constructing and transmitting ideas and imaginations about diplomatic relations between the confederates. Using the example of “contrafactum-relations”, the paper will explore how a methodology inspired by network analysis might be useful in this endeavour. Based on an initial corpus of around 150 printed ballads (containing both original songs and reprints or adaptations of earlier songs) printed in Switzerland between 1530 and 1600, it will provide a visual representation of the connection between the different songs as a network in which individual printed songs function as nodes and melodies as edges. This will allow for the identification of particularly influential melodies, chains of “musical references” and clusters of songs which share the same melodies. These results, in turn, may be put in relation to the subject matter of the songs in question and compared to text-based networks, thus not only providing visual and quantitative evidence of the practice of contrafactum, but giving insight into the mechanisms by which information is transmitted through this particular medium.</p>
Development, Education, and Implementation of a Low-Cost Audio Sensor-based Autonomous Surveillance System for Smart and Connected Transportation Infrastructure Construction and Maintenance
<p>Each DOT has to govern and oversee an enormous number of transportation construction and maintenance projects. However, since a transportation construction project entails several miles of a job site including numerous work tasks and equipment operations, it has been increasingly challenging for each DOT to consistently monitor progress of all projects in each State as well as efficiently evaluate work performance. In particular, with limited human resources and time, DOTs in Region 6 States have managed large-scale transportation construction and maintenance projects by a human inspection and recovered direct and indirect damages of transportation infrastructure systems caused from the recent natural disasters. In this demanding situation, DOT practitioners and project managers have long recognized the importance of automated monitoring and surveillance of transportation construction and maintenance processes that helps consistently track work progress and take immediate remedial action. As one promising supplement for site monitoring and human inspection, this project proposes a new approach for low-cost audio sensor-based autonomous site and safety surveillance of transportation construction and maintenance, which allows for faster, more convenient, and more accurate work zone monitoring. The proposed innovation using the sound-based site and safety monitoring framework possesses several competitive advantages over traditional site management and existing vision-based work monitoring methods, which not only sounds can be easily recognized and instantly analyzed by diverse sound sensors. In addition, this sound-based monitoring approach supports an unlimited range of monitoring angles and illumination levels with lightweight data processing and comparatively quick analytics. To achieve these goals, this study developed a low-cost wearable audio-sensor for automated work zone monitoring and real-time activity log generation. This new intelligent site and safety surveillance system is expected to support real-time monitoring of construction progress, evaluation of task performance, and rapid identification of safety issues in transportation construction and maintenance projects.</p>
The demographic contributions of connectivity versus local dynamics to population growth of an endangered bird
<p>1. Conservation and management increasingly focus on connectivity, because connectivity driven by variation in immigration rates across landscapes is thought to be crucial for maintaining local population and metapopulation persistence. Yet, efforts to quantify the relative role of immigration on population growth across the entire range of species and over time have been lacking.</p> <p>2. We assessed whether immigration limited local and range-wide population growth of the endangered snail kite (Rostrhamus sociabilis) in Florida, USA, over 18 years using multi-state, reverse-time modeling that accounts for imperfect detection of individuals and unobservable states. Demographic contributions of immigration varied depending on the dynamics and geographic position of the local populations, were scale-dependent, and changed over time.</p> <p>3. By comparing the relative contributions of immigration versus local demography for periods of significant change in local abundance, we found empirical evidence for a disproportionately large role of immigration in facilitating population growth of a centrally-located population—a connectivity 'hub'. The importance of connectivity changed depending of the spatial scale considered, such that immigration was more important driver of population growth at small versus large spatial scales. Furthermore, the contribution of immigration was much greater during time periods when local population size was small, emphasizing abundance-dependent rescue effects.</p> <p>4. Our findings suggest that efforts aimed at improving local breeding habitat will likely be most effective at increasing snail kite population growth. More broadly, our results provide much needed information on the role of connectivity for population growth, suggesting that connectivity conservation may have the greatest benefits when efforts focus on centrally located habitat patches and small populations. Furthermore, our results highlight that connectivity is highly dynamic over time and that interpreting the effects of connectivity at local scales may not transfer to region-wide dynamics.</p>
Genotype data from: Restoration of transborder connectivity for Fennoscandian brown bears (Ursus arctos)
<p class="brdtekstNINA">Knowledge about the connectivity among natural populations is essential to identify management units for effective conservation actions. Conservation-minded management has led to the recovery of large carnivore populations in northern Europe, possibly restoring connectivity between the two separated, but expanding brown bear (<i>Ursus arctos</i>) populations on the Scandinavian peninsula to the west and Karelia, a part of the large Eurasian population, to the east. The degree of connectivity between these populations has been poorly understood, therefore we investigated the extent of connectivity between the two populations using autosomal microsatellites and Y chromosome haplotypes in 924 male bears (the dispersing sex), sampled during a period of 12 years (2005-2017) across the transborder area where these two populations meet. Our results showed that the two populations are not genetically isolated as reported in earlier studies. We detected recent asymmetrical gene flow at a rate (individuals per generation) of 4.6-5.5 (1%) from Karelia into Scandinavia, whereas the rate was approximately 27.1-34.5 (8%) in the opposite direction. We estimated historical gene flow of effective number of migrants to be between 1.7 and 2.5 between the populations. Analyses of Y chromosome markers supported these results. Successful recovery and expansion of both populations led to the restoration of connectivity, however, it is asymmetric, possibly due to different recovery histories and population densities. By aligning monitoring between neighboring countries, we were able to better understand the biological processes across the relevant spatial scale.</p>
Data from: Climate connectivity of the bobcat in the Great Lakes region
<p>The Great Lakes and the St. Lawrence River are imposing barriers for wildlife and the additive effect of urban and agricultural development that dominates the lower Great Lakes region likely further reduces functional connectivity for many terrestrial species. As the climate warms species will need to track climate across these barriers. It is important, therefore, to investigate land cover and bioclimatic hypotheses that may explain the northward expansion of species through the Great Lakes. We investigated the functional connectivity of a vagile generalist, the bobcat, as a representative generalist forest species common to the region. We genotyped tissue samples collected across the region at 14 microsatellite loci and compared different landscape hypotheses that might explain the observed gene flow or functional connectivity. We found that the Great Lakes and the additive influence of forest stands with either low or high canopy cover and deep lake-effect snow have disrupted gene flow, whereas intermediate forest cover has facilitated gene flow. Functional connectivity in southern Ontario is relatively low and was limited in part by the low amount of forest cover. Pathways across the Great Lakes were through the Niagara region and through the Lower Peninsula of Michigan over the Straits of Mackinac and the St. Mary's River. These pathways are important routes for bobcat range expansion north of the Great Lakes and are also likely pathways that many other mobile habitat generalists must navigate to track the changing climate. The extent to which species can navigate these routes will be important for determining the future biodiversity of areas north of the Great Lakes.</p>
Database of experimental results on double shear bolted connection
<p>The bolted connection database contains 443 experimental results of tension splices with bolts in double shear collected from 17 different journal publications and conference proceedings. This dataset has ten different features namely, bolt number (n), e1/do ( normalized end distance), e2/do (normalized edge distance), plate thickness (t), yield strength of plate (fy), ultimate strength of plate (fu), bolt diameter (d), bolt hole diameter (do), ultimate capacity from experiment (Fmax) and failure type. Also, sources of the data are included. Interested researches working on experimental analysis of double shear bolted connection are requested to provide the author with new test results for regular update of the database. </p>
Who knows, who cares? Untangling ecological knowledge and nature connection among Amazonian colonist farmers
<p>Conservationists often assume that connection with and caring about nature's wellbeing is strongly linked to ecological knowledge. Existing evidence on the link between ecological knowledge and psychological nature connection is mixed, geographically limited to countries in the Global North, and does not scrutinize potential differences in determinants of ecological knowledge and nature connection.</p> <p>We investigate the relationship between psychological nature connection and ecological knowledge of local bird species and assess their associations with potential drivers, including access to, contact with, and reliance on nature and socio-demographic characteristics. Our study is carried among a novel participant population of colonist farmers living along a major deforestation frontier in the Brazilian Amazon.</p> <p>Our study context has high conservation relevance and provides an ideal setting to assess the extent to which conservation psychology's insights from the Global North hold true elsewhere. Tropical farm-forest frontiers suffer from intense habitat and biodiversity loss, and farmers with migrant origins are important yet rarely studied conservation stakeholders. Importantly, farmer's experiences of nature are likely to vary considerably due to the wide range of socio-demographic, economic, geographic, and cultural diversity.</p> <p>Interviewees scored highly on two indices of nature connection, but scores were higher among older people and those with greater contact with nature. Bird identification knowledge was generally low to moderate, and higher among men and younger people. Species more frequently recognised were regionally common, larger-bodied, or associated with non-forest habitats. 5. Ecological knowledge of birds and nature connection were not correlated, and they did not have any predictors in common. Our results indicate that colonist farmers are capable of forming strong connections with nature, even if they rarely possess detailed knowledge of local forest biodiversity. Considering the complex and apparently context-dependent relationship between knowing and caring about nature, it is unwise to assume that changing one would automatically affect the other.</p>
Data from: Population structure, genetic connectivity, and adaptation in the Olympia oyster (Ostrea lurida) along the west coast of North America
Effective management of threatened and exploited species requires an understanding of both the genetic connectivity among populations and local adaptation. The Olympia oyster (Ostrea lurida), patchily distributed from Baja California to the central coast of Canada, has a long history of population declines due to anthropogenic stressors. For such coastal marine species, population structure could follow a continuous isolation-by-distance model, contain regional blocks of genetic similarity separated by barriers to gene flow, or be consistent with a null model of no population structure. To distinguish between these hypotheses in O. lurida, 13,424 single-nucleotide polymorphisms (SNPs) were used to characterize rangewide population structure, genetic connectivity, and adaptive divergence. Samples were collected across the species range on the west coast of North America, from southern California to Vancouver Island. A conservative approach for detecting putative loci under selection identified 235 SNPs across 129 GBS loci, which were functionally annotated and analyzed separately from the remaining neutral loci. While strong population structure was observed on a regional scale in both neutral and outlier markers, neutral markers had greater power to detect fine-scale structure. Geographic regions of reduced gene flow aligned with known marine biogeographic barriers, such as Cape Mendocino, Monterey Bay, and the currents around Cape Flattery. The outlier loci identified as under putative selection included genes involved in developmental regulation, sensory information processing, energy metabolism, immune response, and muscle contraction. These loci are excellent candidates for future research and may provide targets for genetic monitoring programs. Beyond specific applications for restoration and management of the Olympia oyster, this study lends to the growing body of evidence for both population structure and adaptive differentiation across a range of marine species exhibiting the potential for panmixia. Computational notebooks are available to facilitate reproducibility and future open-sourced research on the population structure of <i>Ostrea lurida</i>.
Data from: Increased habitat connectivity homogenizes freshwater communities: historical and landscape perspectives
1. Increases in habitat connectivity can have consequences for taxonomic, functional, and genetic diversity of communities. Previously isolated aquatic habitats were connected with canals and pipelines in the largest water development project in US history, the Columbia Basin Project (eastern Washington, USA), which also altered environmental conditions; however, the ecological consequences are largely unknown. 2. Using a historical dataset, we examined long-term patterns in zooplankton communities, water chemistry and clarity, testing the hypothesis that increased connectivity will result in taxonomic homogenization. Further, we tested contemporary drivers of communities using a comprehensive set of environmental and landscape variables. 3. Waterbodies were sampled for zooplankton community composition as well as physical and chemical variables inside and outside the Columbia Basin Project using methods consistent with historical studies. 4. We found significant declines in salinity inside the Columbia Basin Project, whereas changes in water clarity were prevalent across all waterbodies. Increased connectivity via canals homogenized zooplankton communities over time, as well as increasing regional richness. Other long-term changes in zooplankton communities may be related to climate change, invasive species, and land-use changes. 5. Synthesis and applications. Though canals may offer species spatial refugia, homogenization may decrease resilience to environmental stressors. These new hybrid aquatic landscapes, or hydroscapes, should be considered carefully in future water development, including specific plans for monitoring of species and environmental conditions, as well as mitigation of undesirable conditions and/or non-native species.
Data from: Connecting the dots: Stopover strategies of an intercontinental migratory songbird in the context of the annual cycle
The phases of the annual cycle for migratory species are inextricably linked. Yet, less than five percent of ecological studies examine seasonal interactions. In this study, we utilized stable hydrogen isotopes to geographically link individual black-and-white warblers (Mniotilta varia) captured during spring migration with breeding destinations to understand a migrant's stopover strategy in the context of other phases of the annual cycle. We found that stopover strategy is not only a function of a bird's current energetic state, but also the distance remaining to breeding destination and a bird's time-schedule, which has previously been linked to habitat conditions experienced in the preceding phase of the annual cycle. Birds in close proximity to their breeding destination accumulate additional energy reserves prior to arrival on the breeding grounds, as reflected by higher migratory condition upon arrival, higher refueling rates measured via blood plasma metabolites, and longer stopover durations compared to birds migrating to breeding destinations farther from the stopover site. However, late birds near their breeding destination were more likely to depart on the day of arrival (i.e., transients), and among birds that stopped over at the site, the average duration of stopover was almost half the time of early conspecifics, suggesting late birds are trying to catch-up with the overall time-schedule of migration for optimal arrival time on the breeding grounds. In contrast, birds with long distances remaining to breeding destinations were more likely to depart on the day of arrival and primarily used stopover to rest before quickly resuming migration, adopting similar strategies regardless of a bird's time-schedule. Our study demonstrates that migrants adjust their en route strategies in relation to their time-schedule and distance remaining to their breeding destination, highlighting that strategies of migration should be examined in the context of other phases of the annual cycle.
Simple connected graph invariants up to order ten
<p>This is the database file for the <em>Encyclopedia of Finite Graphs</em> and the upcoming paper <em>Integer sequence discovery from small graphs</em>. It contains a collection of invariants for all simple connected graphs up to order 10 and the integer sequences one can make.</p>
Non-random network connectivity comes in pairs: Code & generated data to reproduce results and figures of the article
<p>Complete research code and generated data for the article to reproduce the figures and computations referenced.</p> <p>Please visit https://non-random-connectivity-comes-in-pairs.github.io/ for documentation of the code.</p>
Unraveling the Connection between Subsurface Stress and Geomorphic Features: Dataset
<p>This repository stores data using for the manuscript: <strong>Unraveling the Connection between Subsurface Stress and Geomorphic Features</strong></p> <p>The data file used in this study is <strong>'Input_stress_fault_river_BK_091525.csv'</strong>.</p> <p>The code used to reproduce all figures in the manuscript is <strong>'Kuhasubpasin_et_al_2025.ipynb'</strong></p> <p>The file contain these following data:</p> <table style="width: 77.6938%; height: 1881px;"> <thead> <tr style="height: 19.5938px;"> <th style="width: 13.2765%; height: 19.5938px;">Column</th> <th style="width: 7.79537%; height: 19.5938px;">unit</th> <th style="width: 13.6419%; height: 19.5938px;">range</th> <th style="width: 65.2862%; height: 19.5938px;">description</th> </tr> </thead> <tbody> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">lat</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(-90, 90)</td> <td style="width: 65.2862%; height: 19.5938px;">Latitude</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">lon</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(-180, 180)</td> <td style="width: 65.2862%; height: 19.5938px;">Longitude</td> </tr> <tr style="height: 39.1875px;"> <td style="width: 13.2765%; height: 39.1875px;">azi_R</td> <td style="width: 7.79537%; height: 39.1875px;">degree</td> <td style="width: 13.6419%; height: 39.1875px;">(0, 180)*</td> <td style="width: 65.2862%; height: 39.1875px;">Interpolated azimuth of river network (interpolate without considering river order)</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">azi_r1</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 180)*</td> <td style="width: 65.2862%; height: 19.5938px;">Interpolated azimuth of 1'-order river</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">azi_r2</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 180)*</td> <td style="width: 65.2862%; height: 19.5938px;">Interpolated azimuth of 2'-order river</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">azi_r3</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 180)*</td> <td style="width: 65.2862%; height: 19.5938px;">Interpolated azimuth of 3'-order river</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">azi_r4</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 180)*</td> <td style="width: 65.2862%; height: 19.5938px;">Interpolated azimuth of 4'-order river</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">azi_r5</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 180)*</td> <td style="width: 65.2862%; height: 19.5938px;">Interpolated azimuth of 5'-order river</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">Drainage_area</td> <td style="width: 7.79537%; height: 19.5938px;">cell</td> <td style="width: 13.6419%; height: 19.5938px;">-</td> <td style="width: 65.2862%; height: 19.5938px;">Drainage area</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">river_order</td> <td style="width: 7.79537%; height: 19.5938px;">order</td> <td style="width: 13.6419%; height: 19.5938px;">(1, 7)</td> <td style="width: 65.2862%; height: 19.5938px;">Majority of the order river in grid cell</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">elev</td> <td style="width: 7.79537%; height: 19.5938px;">km</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 5.1375)</td> <td style="width: 65.2862%; height: 19.5938px;">Elevation</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">TcstDens</td> <td style="width: 7.79537%; height: 19.5938px;">g/cm^3</td> <td style="width: 13.6419%; height: 19.5938px;">(2.7439,2.962)</td> <td style="width: 65.2862%; height: 19.5938px;">Average crustal density from CRUST 1.0</td> </tr> <tr style="height: 39.1875px;"> <td style="width: 13.2765%; height: 39.1875px;">TcstThk</td> <td style="width: 7.79537%; height: 39.1875px;">km</td> <td style="width: 13.6419%; height: 39.1875px;">(5.0731 73.517)</td> <td style="width: 65.2862%; height: 39.1875px;">Total crustal thickness from CRUST 1.0</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">crust_type</td> <td style="width: 7.79537%; height: 19.5938px;"> </td> <td style="width: 13.6419%; height: 19.5938px;"> </td> <td style="width: 65.2862%; height: 19.5938px;">Crustal type from ECM1</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">Te</td> <td style="width: 7.79537%; height: 19.5938px;">km</td> <td style="width: 13.6419%; height: 19.5938px;">(1,200)</td> <td style="width: 65.2862%; height: 19.5938px;">Effective elastic thickness</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">MI</td> <td style="width: 7.79537%; height: 19.5938px;">-</td> <td style="width: 13.6419%; height: 19.5938px;">(-1,1)</td> <td style="width: 65.2862%; height: 19.5938px;">Mantle influence index</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">azi_Z</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 180)*</td> <td style="width: 65.2862%; height: 19.5938px;">Topographic aspect</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">azi_F</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 180)*</td> <td style="width: 65.2862%; height: 19.5938px;">Interpolated azimuth of faults</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">reg_F</td> <td style="width: 7.79537%; height: 19.5938px;">-</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 1)</td> <td style="width: 65.2862%; height: 19.5938px;">Regime of F</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">azi_SO</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 180)*</td> <td style="width: 65.2862%; height: 19.5938px;">Interpolated azimuth of feature 𝜎𝑂 from WSM</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">reg_SO</td> <td style="width: 7.79537%; height: 19.5938px;">-</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 1)</td> <td style="width: 65.2862%; height: 19.5938px;">Regime of 𝜎𝑂</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">azi_SO_010</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 180)*</td> <td style="width: 65.2862%; height: 19.5938px;">Interpolated azimuth of 𝜎𝑂 measured between 0-10 km</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">azi_SO_1020</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 180)*</td> <td style="width: 65.2862%; height: 19.5938px;">Interpolated azimuth of 𝜎𝑂 measured between 10-20 km</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">azi_SO_2030</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 180)*</td> <td style="width: 65.2862%; height: 19.5938px;">Interpolated azimuth of 𝜎𝑂 measured between 20-30 km</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">azi_SO_3040</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 180)*</td> <td style="width: 65.2862%; height: 19.5938px;">Interpolated azimuth of 𝜎𝑂 measured between 30-40 km</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">azi_SO_nofm</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 180)*</td> <td style="width: 65.2862%; height: 19.5938px;">Interpolated azimuth of 𝜎𝑂 measured from focal mechanism</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">azi_SO_fm</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 180)*</td> <td style="width: 65.2862%; height: 19.5938px;">Interpolated azimuth of 𝜎𝑂 measured from other techniques</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">azi_SL</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 180)*</td> <td style="width: 65.2862%; height: 19.5938px;">Interpolated azimuth of 𝜎𝐿</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">reg_SL</td> <td style="width: 7.79537%; height: 19.5938px;">-</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 1)</td> <td style="width: 65.2862%; height: 19.5938px;">Regime of 𝜎𝐿</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">sp1_SL</td> <td style="width: 7.79537%; height: 19.5938px;">Pa</td> <td style="width: 13.6419%; height: 19.5938px;">-</td> <td style="width: 65.2862%; height: 19.5938px;">Magnitude of principal stress 1 for 𝜎𝐿</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">sp2_SL</td> <td style="width: 7.79537%; height: 19.5938px;">Pa</td> <td style="width: 13.6419%; height: 19.5938px;">-</td> <td style="width: 65.2862%; height: 19.5938px;">Magnitude of principal stress 2 for 𝜎𝐿</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">azi_SM</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 180)*</td> <td style="width: 65.2862%; height: 19.5938px;">Interpolated azimuth of feature 𝜎𝑀</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">reg_SM</td> <td style="width: 7.79537%; height: 19.5938px;">-</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 1)</td> <td style="width: 65.2862%; height: 19.5938px;">Regime of 𝜎𝑀</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">sp1_SM</td> <td style="width: 7.79537%; height: 19.5938px;">Pa</td> <td style="width: 13.6419%; height: 19.5938px;">-</td> <td style="width: 65.2862%; height: 19.5938px;">Magnitude of principal stress 1 for 𝜎𝑀</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">sp2_SM</td> <td style="width: 7.79537%; height: 19.5938px;">Pa</td> <td style="width: 13.6419%; height: 19.5938px;">-</td> <td style="width: 65.2862%; height: 19.5938px;">Magnitude of principal stress 2 for 𝜎𝑀</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">azi_ST</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 180)*</td> <td style="width: 65.2862%; height: 19.5938px;">Interpolated azimuth of feature 𝜎𝑇</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">reg_ST</td> <td style="width: 7.79537%; height: 19.5938px;">-</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 1)</td> <td style="width: 65.2862%; height: 19.5938px;">Regime of 𝜎𝑇</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">sp1_ST</td> <td style="width: 7.79537%; height: 19.5938px;">Pa</td> <td style="width: 13.6419%; height: 19.5938px;">-</td> <td style="width: 65.2862%; height: 19.5938px;">Magnitude of principal stress 1 for 𝜎𝑇</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">sp2_ST</td> <td style="width: 7.79537%; height: 19.5938px;">Pa</td> <td style="width: 13.6419%; height: 19.5938px;">-</td> <td style="width: 65.2862%; height: 19.5938px;">Magnitude of principal stress 2 for 𝜎𝑇</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">azi_SB</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 180)*</td> <td style="width: 65.2862%; height: 19.5938px;">Interpolated azimuth of feature 𝜎𝐵</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">delta_SO_F</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 90)</td> <td style="width: 65.2862%; height: 19.5938px;">Δ𝜎𝑂−𝐹</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">delta_SL_F</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 90)</td> <td style="width: 65.2862%; height: 19.5938px;">Δ𝜎𝐿−𝐹</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">delta_SM_F</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 90)</td> <td style="width: 65.2862%; height: 19.5938px;">Δ𝜎𝑀−𝐹</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">delta_ST_F</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 90)</td> <td style="width: 65.2862%; height: 19.5938px;">Δ𝜎𝑇−𝐹</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">delta_SB_F</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 90)</td> <td style="width: 65.2862%; height: 19.5938px;">Δ𝜎𝐵−𝐹</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">delta_SO_R1</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 90)</td> <td style="width: 65.2862%; height: 19.5938px;">Δ𝜎𝑂−𝑅1 :1' order river</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">delta_SL_R1</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 90)</td> <td style="width: 65.2862%; height: 19.5938px;">Δ𝜎𝐿−𝑅1</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">delta_SM_R1</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 90)</td> <td style="width: 65.2862%; height: 19.5938px;">Δ𝜎𝑀−𝑅1</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">delta_ST_R1</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 90)</td> <td style="width: 65.2862%; height: 19.5938px;">Δ𝜎𝑇−𝑅1</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">delta_SB_R1</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 90)</td> <td style="width: 65.2862%; height: 19.5938px;">Δ𝜎𝐵−𝑅1</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">delta_F_R1</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 90)</td> <td style="width: 65.2862%; height: 19.5938px;">Δ𝐹−𝑅1</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">delta_SO_R2</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 90)</td> <td style="width: 65.2862%; height: 19.5938px;">Δ𝜎𝑂−𝑅2 :2' order river</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">delta_SL_R2</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 90)</td> <td style="width: 65.2862%; height: 19.5938px;">Δ𝜎𝐿−𝑅2</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">delta_SM_R2</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 90)</td> <td style="width: 65.2862%; height: 19.5938px;">Δ𝜎𝑀−𝑅2</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">delta_ST_R2</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 90)</td> <td style="width: 65.2862%; height: 19.5938px;">Δ𝜎𝑇−𝑅2</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">delta_SB_R2</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 90)</td> <td style="width: 65.2862%; height: 19.5938px;">Δ𝜎𝐵−𝑅2</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">delta_F_R2</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 90)</td> <td style="width: 65.2862%; height: 19.5938px;">Δ𝐹−𝑅2</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">delta_SO_R3</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 90)</td> <td style="width: 65.2862%; height: 19.5938px;">Δ𝜎𝑂−𝑅3 :3' order river</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">delta_SL_R3</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 90)</td> <td style="width: 65.2862%; height: 19.5938px;">Δ𝜎𝐿−𝑅3</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">delta_SM_R3</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 90)</td> <td style="width: 65.2862%; height: 19.5938px;">Δ𝜎𝑀−𝑅3</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">delta_ST_R3</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 90)</td> <td style="width: 65.2862%; height: 19.5938px;">Δ𝜎𝑇−𝑅3</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">delta_SB_R3</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 90)</td> <td style="width: 65.2862%; height: 19.5938px;">Δ𝜎𝐵−𝑅3</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">delta_F_R3</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 90)</td> <td style="width: 65.2862%; height: 19.5938px;">Δ𝐹−𝑅3</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">delta_SO_R4</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 90)</td> <td style="width: 65.2862%; height: 19.5938px;">Δ𝜎𝑂−𝑅4 :4' order river</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">delta_SL_R4</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 90)</td> <td style="width: 65.2862%; height: 19.5938px;">Δ𝜎𝐿−𝑅4</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">delta_SM_R4</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 90)</td> <td style="width: 65.2862%; height: 19.5938px;">Δ𝜎𝑀−𝑅4</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">delta_ST_R4</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 90)</td> <td style="width: 65.2862%; height: 19.5938px;">Δ𝜎𝑇−𝑅4</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">delta_SB_R4</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 90)</td> <td style="width: 65.2862%; height: 19.5938px;">Δ𝜎𝐵−𝑅4</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">delta_F_R4</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 90)</td> <td style="width: 65.2862%; height: 19.5938px;">Δ𝐹−𝑅4</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">delta_SO_R5</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 90)</td> <td style="width: 65.2862%; height: 19.5938px;">Δ𝜎𝑂−𝑅5 :5' order river</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">delta_SL_R5</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 90)</td> <td style="width: 65.2862%; height: 19.5938px;">Δ𝜎𝐿−𝑅5</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">delta_SM_R5</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 90)</td> <td style="width: 65.2862%; height: 19.5938px;">Δ𝜎𝑀−𝑅5</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">delta_ST_R5</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 90)</td> <td style="width: 65.2862%; height: 19.5938px;">Δ𝜎𝑇−𝑅5</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">delta_SB_R5</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 90)</td> <td style="width: 65.2862%; height: 19.5938px;">Δ𝜎𝐵−𝑅5</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">delta_F_R5</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 90)</td> <td style="width: 65.2862%; height: 19.5938px;">Δ𝐹−𝑅5</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">delta_SO_R>1</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 90)</td> <td style="width: 65.2862%; height: 19.5938px;">Δ𝜎𝑂−𝑅>1 :>1' order river</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">delta_SL_R>1</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 90)</td> <td style="width: 65.2862%; height: 19.5938px;">Δ𝜎𝐿−𝑅>1</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">delta_SM_R>1</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 90)</td> <td style="width: 65.2862%; height: 19.5938px;">Δ𝜎𝑀−𝑅>1</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">delta_ST_R>1</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 90)</td> <td style="width: 65.2862%; height: 19.5938px;">Δ𝜎𝑇−𝑅>1</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">delta_SB_R>1</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 90)</td> <td style="width: 65.2862%; height: 19.5938px;">Δ𝜎𝐵−𝑅>1</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">delta_F_R>1</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 90)</td> <td style="width: 65.2862%; height: 19.5938px;">Δ𝐹−𝑅>1</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">delta_SO_Z</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 90)</td> <td style="width: 65.2862%; height: 19.5938px;">Δ𝜎𝑂−𝑍</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">delta_SL_Z</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 90)</td> <td style="width: 65.2862%; height: 19.5938px;">Δ𝜎𝐿−𝑍</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">delta_SM_Z</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 90)</td> <td style="width: 65.2862%; height: 19.5938px;">Δ𝜎𝑀−𝑍</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">delta_ST_Z</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 90)</td> <td style="width: 65.2862%; height: 19.5938px;">Δ𝜎𝑇−𝑍</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">delta_SB_Z</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 90)</td> <td style="width: 65.2862%; height: 19.5938px;">Δ𝜎𝐵−𝑍</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">delta_F_Z</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 90)</td> <td style="width: 65.2862%; height: 19.5938px;">Δ𝐹−𝑍</td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">delta_Z_R1</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 90)</td> <td style="width: 65.2862%; height: 19.5938px;"><span><span><span><span>Δ</span><span>𝑍</span><span>−</span><span>𝑅</span><span>1</span></span></span></span><span> :1' order river</span></td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">delta_Z_R2</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 90)</td> <td style="width: 65.2862%; height: 19.5938px;"><span><span><span><span>Δ</span><span>𝑍</span><span>−</span><span>𝑅</span><span>2</span></span></span></span><span> :2' order river</span></td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">delta_Z_R3</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 90)</td> <td style="width: 65.2862%; height: 19.5938px;"><span><span><span><span>Δ</span><span>𝑍</span><span>−</span><span>𝑅</span><span>3</span></span></span></span><span> :3' order river</span></td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">delta_Z_R4</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 90)</td> <td style="width: 65.2862%; height: 19.5938px;"><span><span><span><span>Δ</span><span>𝑍</span><span>−</span><span>𝑅</span><span>4</span></span></span></span><span> :4' order river</span></td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">delta_Z_R5</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 90)</td> <td style="width: 65.2862%; height: 19.5938px;"><span><span><span><span>Δ</span><span>𝑍</span><span>−</span><span>𝑅</span><span>5</span></span></span></span><span> :5' order river</span></td> </tr> <tr style="height: 19.5938px;"> <td style="width: 13.2765%; height: 19.5938px;">delta_Z_R>1</td> <td style="width: 7.79537%; height: 19.5938px;">degree</td> <td style="width: 13.6419%; height: 19.5938px;">(0, 90)</td> <td style="width: 65.2862%; height: 19.5938px;"> <p><span><span><span><span>Δ</span><span>𝑍</span><span>−</span><span>𝑅</span><span>></span><span>1</span></span></span></span><span> :>1' order river</span></p> </td> </tr> </tbody> </table> <p>*The range is not (0,360) because we only consider azimuth not direction</p>
Neonatal brain dynamic functional connectivity: impact of preterm birth and association with early childhood neurodevelopment (data)
<p>Neonatal brain dynamic functional connectivity: impact of preterm birth and association with early childhood neurodevelopment</p>
VCF files and regression analyses for: Assessing fine-scale pondscape connectivity with amphibian eyes: an integrative approach using genomic and capture-mark-recapture data
<p><span>In the face of habitat loss, preserving functional connectivity is essential to maintain genetic diversity and the demographic dynamics required for the viability of biotic communities. This requires knowledge of the dispersal behavior of target species, which can be modeled as kernels, or probability density functions of dispersal distances at increasing geographic distances. We present an integrative approach to investigate the relationships between genetic connectivity and demographic parameters in organisms with low vagility focusing on five syntopic pond-breeding amphibians. We genotyped 1,056 individuals of two anuran and three urodele species (1,732–3,913 SNPs per species) from populations located in a landscape comprising 64 ponds to characterize fine-scale genetic structure in a comparative framework and combined this genetic data with information obtained in a previous two-year capture-mark-recapture (CMR) study. Specifically, we contrasted graphs reconstructed from genomic data with connectivity graphs based on dispersal kernels and demographic information obtained from CMR data from previous studies and assessed the effects of population size, population density, geographical distances, inverse movement probabilities and the presence of habitat patches potentially functioning as stepping stones on genetic differentiation. Our results suggest a significant influence of local population sizes on patterns of genetic connectivity at small spatial scales. In addition, m</span><span>ovement records and cluster-derived kernels provide robust inferences on most likely dispersal paths that are consistent with </span><span>genomic inferences on genetic connectivity. The integration of genetic and CMR data holds great potential for understanding genetic connectivity at spatial scales relevant to individual organisms, with applications for the implementation of management actions at the landscape level. </span></p>
Dynamically coupled kinetic chemistry in brown dwarf atmospheres - II. Cloud and chemistry connections in directly imaged sub-Jupiter exoplanets
<p>Gifs of GCM output from the paper, model is Teff = 1000 K, log g = 3, M/H = 1. </p><p>The atmos_daily_2980.nc file contains the GCM NETCDF output at 2080 days.</p>
Supporting Data - The influence of additionality and time-matching requirements on the emissions from grid-connected hydrogen production
<p>This dataset contains all case input and outputs for the analysis done in <i>The influence of additionality and time-matching requirements on the emissions from grid-connected hydrogen production.</i></p>
Bridging the Divide: Connecting Language Activist Efforts and Language Archives
<p>Bridging the Divide: Connecting Language Activist Efforts and Language Archives</p> <p>Subhashish Panigrahi, Mandana Seyfeddinipur and Susan Kung at the Language Documentation and Archiving conference in the Berlin-Brandenburg Academy of Sciences and Humanities on October 6. 2022</p> <p>Language documentation, revitalization, reclamation, and activism efforts take place all over the world. At the local, grassroots, community and international levels, participants have taken agency and self-organised to engage in these activities to create a documentary record of their own languages, to preserve cultural and linguistic richness, and to reclaim ownership of and control over their languages and cultures, ensuring data sovereignty. In academia, linguists have developed theoretical methods for linguistic language documentation and have created language archives housed at universities. Language activists have created language documentation training materials, organised projects in the Wikimedia ecosystem, formed nonprofits and NGOs, and used social media platforms to self-organise and share their materials. However, many of these grassroots efforts lack access to stable archives that can provide long-term digital preservation of these unique and invaluable materials. Simultaneously, language archives based at universities could provide long-term preservation but lack the connection to activists. In this presentation, we showcase some of these community-based efforts, and we argue for the need to bridge the divide between academically based archives and the "real world" in order to ensure that all language documentation efforts will be preserved for the long-term and accessible and available to all peoples well into the future. We also share examples demonstrating how different kinds of archives fit into the needs and expertise levels of different local activist groups. While taking into account some of the existing practices of community-led efforts for sharing materials online that are more convenient and have better visibility among the viewers, we illustrate the skill development and resource allocation that would be required to migrate to long-term archives. We also discuss the current entry-level barriers of archives that need mitigation for forging activism-academic collaborations and paving the path for robust archives while ensuring the agency of speakers.</p>
Data from: Importance of Site Diversity and Connectivity in Electrochemical CO reduction on Cu
<p><strong>Microkinetic Modeling</strong></p><ul><li>Contains raw ipynb files to generate graphs used in this work</li></ul><p><strong>EC-Lab Potentiosat Data</strong></p><ul><li>Contains potentiostat I-V data, organized in folder by date of acquisition</li></ul><p><strong>Mass flow and product quantification</strong></p><ul><li>Mass flow measurements, gas chromatography, and nuclear magnetic resonance spectroscopy</li></ul><p><strong>Overview of all experiments</strong></p><ul><li>Spreadsheets listing all experiments</li></ul><p><strong>Cell Design</strong></p><ul><li>Files for the 1 cm2 gas diffusion electrodes used in this work.</li></ul>
Keynote: Bringing Reinforcement learning Into Radio Light Network for Massive Connections
<blockquote><p>3GPP standardization has been progressing at an astonishingly rapid phase, where Release 15 and Release 16 have set the foundations of the 5G system, while Release 17 provides enhancements and optimizations to enable support for further use cases. In parallel to 5G standardization efforts, several initiatives worldwide endeavour to drive and support the evolution of smart networks and services. Among others Europe is establishing the <i>Joint Undertaking on Smart Networks and Services</i> in the frame of the Horizon Europe programme for research and innovation. Other initiatives are complementing the European initiative, such as <i>Secure 5G & Beyond Act</i> in the U.S., <i>roadmap towards 6G </i>in Japan, <i>MSIT 6G programme</i> in S. Korea, and <i>MIIT 6G programme</i> in China.</p></blockquote><blockquote><p>The workshop will provide an opportunity for reflection and discussion about requirements and architectural considerations for future generations of mobile systems. The focus will be on presenting version 4.0 of the Architecture white paper developed by the 5G PPP architecture working group. It will allow to move from 5G and beyond towards a fully-fledged 6G architecture.</p></blockquote>
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.