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794 results for “publishing”
Mesh and large input files of SeisSol models of the Kahramanmaraş earthquake doublet published in Jia et al. (2023) and Gabriel et al. (2023)
<div> <div> <div> <div> <div> <div> <div> <div> <div> <div> <div> <div>This dataset contains mesh and large input files for SeisSol models of the Kahramanmaraş earthquake doublet, as published in Jia et al. (2023) and Gabriel et al. (2023). The rest of the setup can be found at: <a href="https://github.com/Thomas-Ulrich/Turkey-Syria-Earthquakes/" target="_new" rel="noopener">GitHub - Turkey-Syria Earthquakes</a>. <ul> <li> <p><strong>Turkey78_75_dip70_3</strong>: The mesh file.</p> </li> <li> <p><strong>Turkey78_75_dip70.smd</strong>: The SimModeler file used to generate the mesh.</p> </li> <li> <p><strong>Turkey78_75_dip70_3.xml</strong>: Contains the mesh and analysis attributes required to generate it using PUMGen and SimModelerLib.</p> </li> <li> <p><strong>Turkey78_75_dip70_3.xmdf</strong>: A helper file for opening the mesh in ParaView.</p> </li> <li> <p><strong>StressChange_filt_v7_joint_ASAGI.nc</strong>: The stress change from the kinematic model used in Jia et al.'s simulations.</p> </li> <li> <p><strong>Turkey_31M_o5_el_ev1_2500_s2_05_al065_R056_resampled_stress_change_coarse.nc</strong> and<br><strong>Turkey_31M_o5_el_ev1_2500_s2_05_al065_R056_resampled_stress_change_fine.nc</strong>: These files represent the stress change from the first event for the second event simulation in Jia et al.'s model. They were generated from the output files of the first event simulation, as described here: <a href="https://github.com/Thomas-Ulrich/Turkey-Syria-Earthquakes/tree/main/SeisSolSetupHeterogeneities/asagi_file" target="_new" rel="noopener">SeisSol Setup Heterogeneities - ASAGI Files</a>.</p> </li> </ul> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div>
Ionosphere-Thermosphere Data Published in "Responses of the Thermosphere and Ionosphere System to Concurrent Solar Flares and Geomagnetic Storms"
<p>This dataset supports the Journal of Geophysical Research publication "Responses of the Thermosphere and Ionosphere System to Concurrent Solar Flares and Geomagnetic Storms" by Qian et al., 2019. The data files are selected output and related analyses from the thermosphere-ionosphere-electrodynamics general circulation model (TIEGCM). The format of the data files are either IDL save files or NetCDF files or ASCII.</p>
Supplementary data for "Increasing risks of extreme salt intrusion events across European estuaries in a warming climate", published in Communications Earth & Environment
<p>This data repository contains python scripts and post-processed climate model and salt intrusion length data to reproduce figures in the paper below.</p> <p>====================</p> <p>Title: Increasing risks of extreme salt intrusion events across European estuaries in a warming climate (<a href="https://www.nature.com/articles/s43247-024-01225-w">Link to the full paper</a>)</p> <p>Author: Jiyong Lee, Bouke Biemond, Huib de Swart, and Henk A. Dijkstra</p> <p>Journal: Communications Earth & Environment</p> <p>Year: 2024</p> <p>Publisher: Nature</p> <p>====================</p>
Data for the research article "High-Temperature Deformation of Enstatite-Olivine Aggregates" published in JGR Solid Earth
<p>The data available in this repository is the original data presented in the research article: Bystricky, M., Lawlis, J., Mackwell, S., & Heidelbach, F. (2024). High-temperature deformation of enstatite-olivine aggregates, Journal of Geophysical Research: Solid Earth, 129, e2023JB027699. https://doi.org/10.1029/2023JB027699.</p> <p>Version v1: data at time of original submission (2023)</p> <p>Version v2: data at time of publication (2024)</p>
The results of thermodynamic calculations for alloys presented in a paper published in Journal of Materials Research and Technology, 2023, 27, pp. 6182–6191
<p>Thermophysical data for the alloys developed within the project. The results have been published in ournal of Materials Research and Technology, 2023, 27, pp. 6182–6191.</p>
Data referring to the Article "Harmonized Skies: A Survey on Drone Acceptance across Europe" published in Drones Journal
<p><span>The material provided is part of the article "Harmonized Skies: A Survey on Drone Acceptance across Europe," published in the Drones Journal (https://doi.org/10.3390/drones8030107). This article describes a study investigating civil drone acceptance in six different EU countries. This study was part of the USpace4UAM project (Grant Agreement No 101017643). The material includes the data set for the study described and the Python codes for the random forest analysis carried out to investigate the influence of demographic and personnel factors on drone acceptance.</span></p>
Dynamics of Centipede Locomotion Revealed by Large-Scale Traction Force Microscopy (J. Roy Soc INTERFACE, to be published, march 2024)
<p>data and matlab code from paper "Dynamics of Centipede Locomotion Revealed by Large-Scale Traction Force Microscopy" (paper submitted to J. Roy Soc INTERFACE, to be published, march 2024)</p> <p><strong><span>Dynamics of Centipede Locomotion Revealed by Large-Scale Traction Force Microscopy</span></strong></p> <p><span> </span><span>J.P. Rieu</span><sup><span>1, *</span></sup><span>, H. Delanoë-Ayari</span><sup><span>1</span></sup><span>, C. Barentin</span><sup><span>1</span></sup><span>, T. Nakagaki</span><sup><span>2</span></sup><span> and S. Kuroda</span><sup><span>3</span></sup><sup><span> ,*</span></sup></p> <p><sup><span>1</span></sup><span> </span><span>Institut Lumière Matière, University of Lyon, Université Claude Bernard Lyon 1, CNRS, F-69622, Villeurbanne, France</span></p> <p><sup><span>2</span></sup><span> Research Institute for Electronic Science, Hokkaido University, N20W10 Kita-ku, Sapporo Hokkaido 001-0020, Japan</span></p> <p><sup><span>3 </span></sup><span>Faculty of Software and Information Technology, Aomori University, Koubata 2-3-1, Aomori, 030-0943, Japan</span></p> <p><span>* Authors for correspondence:<span> </span>Jean-Paul Rieu (e-mail: jean-paul.rieu@univ-lyon1.fr) and Shigeru Kuroda (shigeru-kuroda@aomori-u.ac.jp)</span></p> <p> </p> <p><strong><span>Abstract</span></strong></p> <p><span>We present a novel approach to traction force microscopy (TFM) for studying the locomotion of 10cm-long walking centipedes on soft substrates.</span><span> Leveraging the </span><span>remarkable</span><span> elasticity and ductility of kudzu starch gels, we utilize them as a deformable gel substrate, providing resilience against the centipedes' sharp leg tips. </span><span>Through optimizing fiducial marker size and density and fine-tuning imaging conditions, we enhance measurement accuracy. Our TFM investigation reveals traction forces along the centipede's longitudinal axis that effectively counterbalance inertial forces within the 0-10mN range, providing the first report of non-vanishing inertia forces in TFM studies. Interestingly, we observe waves of forces propagating from the head to the tail of the centipede, corresponding to its locomotion speed. Furthermore, we discover a characteristic cycle of leg clusters engaging with the substrate: forward force (friction) upon leg tip contact, backward force (traction) as the leg pulls the substrate while stationary, and subsequent forward force as the leg tip detaches to reposition itself in the anterior direction. </span><span>This work </span><span>opens perspectives for TFM applications in ethology, tribology, and robotics</span><span>.</span></p>
Supplementary materials for "Zur Schreibung türkischer Familiennamen in deutschen Zeitungstexten. Indexikalisches Potential als Auslöser von graphematischem Wandel", published in Zeitschrift für germanistische Linguistik
<p>Supplementary materials for "Zur Schreibung türkischer Familiennamen in deutschen Zeitungstexten. Indexikalisches Potential als Auslöser von graphematischem Wandel", published in Zeitschrift für germanistische Linguistik</p>
Dataset published in the article: "Electrospun poly(L-lactide-co-DL-lactide) nanofibrous scaffold as substrate for ex vivo limbal epithelial cell cultivation"
Open the record for dataset details and reuse information.
Open Access Publishing
<p><strong>Open Access Publishing. </strong>Prepared for the Diploma in Education Technology Management (A Distance Education Programme) of NAAM, Hyderabad. DETM 524 – Ethical Issues in Educational Technology (3+0 credits) by Sridhar Gutam (<a href="mailto:sridhar.gutam@icar.gov.in">sridhar.gutam@icar.gov.in</a>) 2021</p> <p><strong>Video</strong>: <a href="https://youtu.be/A9Gxa6Z_0D8">https://youtu.be/A9Gxa6Z_0D8</a></p> <p><strong>Slide</strong> <strong>Deck</strong>: <a href="https://bit.ly/OAPSG">https://bit.ly/OAPSG</a></p>
Landslide Susceptibility Mapping using Machine Learning: Details of articles published in 2009-2021
<p>To understand the trend of landslide susceptibility mapping using machine learning, we prepared a detailed list of 140 recently published articles. The Harzing desktop application was used to get the published articles by searching for "landslide susceptibility machine learning" keywords in the "Title" field of the application and searched using Google Scholar within the Harzing application. The search returned a total of 172 articles published from 2009 to 2021, and after eliminating papers that could not be accessed, we had 140 useable published articles. The articles also included some recently published articles which are pre-print and not peer-reviewed.</p>
Data and scripts for the article on 'Affectedness and Differential Object Marking in Turkish and Uzbek', published in Linguistics
<p>Data and scripts for the article on 'Affectedness and Differential Object Marking in Turkish and Uzbek', published in Linguistics; see the publication for details</p>
Data from: Landscape composition and life-history traits influence bat movement and space use: analysis of 30 years of published telemetry data
<p><span><b>Aim: </b>Animal movement determines home range patterns, which in turn affect individual fitness, population dynamics and ecosystem functioning. Using temperate bats, a group of particular conservation concern, we investigated how morphological traits, habitat specialization and environmental variables affect home range sizes and daily foraging movements, using a compilation of 30 years of published bat telemetry data.</span></p> <p><span><b>Location</b>: Northern America and Europe.</span></p> <p><span><b>Time period</b>: 1988 – 2016.</span></p> <p><span><b>Major taxa studied</b>: Bats.</span></p> <p><span><b>Methods</b>: We compiled data on home range size and mean daily distance between roosts and foraging areas at both colony and individual levels from 166 studies of 3,129 radiotracked individuals of 49 bat species. We calculated multi-scale habitat composition and configuration in the surrounding landscapes of the 165 studied roosts. Using mixed models, we examined the effects of habitat availability and spatial arrangement on bat movements, while accounting for body mass, aspect ratio, wing loading and habitat specialization.</span></p> <p><span><b>Results:</b><i> </i>We found a significant effect of landscape composition on home range size and mean daily distance at both colony and individual levels. On average, home ranges were up to 42% smaller in the most habitat-diversified landscapes while mean daily distances were up to 30% shorter in the most forested landscapes. Bat home range size significantly increased with body mass, wing aspect ratio and wing loading, and decreased with habitat specialization.</span></p> <p><span><b>Main conclusions: </b>Promoting bat movements through the landscape surrounding roosts at large spatial scales is crucial for bat conservation. Forest loss and overall landscape homogenization lead temperate bats to fly farther to meet their ecological requirements, by increasing home range sizes and daily foraging distances. Both processes might be more detrimental for smaller, habitat-specialized bats, less able to travel increasingly longer distances to meet their diverse needs.</span></p>
Data for article on "Selectives ("topic markers") on subordinate clauses", published in Linguistics
<p>Dataset for study on "Selectives (“topic markers”) on subordinate clauses" (Appendix F)</p>
Conceptualizing relationships among hyporheic exchange, storage, and water age: data represented in published figures
<p>Hyporheic exchange is a key driver of ecosystem processes in streams, yet stream ecologists often fail to leverage detailed conceptual models developed by engineers and hydrologists describing the relationship between water storage, water balance, and water age (time elapsed since a conceptual parcel of water entered the hyporheic zone) in hyporheic zones. In a companion paper (G.C. Poole et al. <em>Hyporheic Hydr</em><em>au</em><em>lic Geometry: Conceptualizing relationships among hyporheic exchange, storage, and water age</em>, published in PLoS ONE; doi:<a href="https://doi.org/10.1371/journal.pone.0262080">10.1371/journal.pone.0262080</a>), we provide visualizations of these relationships in an effort to allow non-hydrologists to grasp four primary concepts along with associated research and management implications: 1) the rate of hyporheic exchange, size of the hyporheic zone, and hyporheic water age are inexorably linked; 2) such linkages can be leveraged to build understanding of hyporheic processes; 3) the age distribution of hyporheic water and hyporheic discharge is heavily skewed toward young water ages -- at any temporal scale of observation (minutes, hours, days, or months) older hyporheic water is rare relative to younger water; 4) the age distribution of water discharged from any hyporheic zone is not the same as the age distribution of water stored within that hyporheic zone. The data set presented here represents the numerical values represented by the figures published in the companion paper.</p>
anabreuinsp/Code-availability-: Code availability for the paper Seroprevalence in Mexico published in nature communication.
<p>Here you can find two do-file (.do) in stata to run the main analysis and the sensitivity analysis to take into account a possible response bias. In both cases, after running the script, you need to adjust for sensitivity and specificity of the test, using the excel file that generates confidence intervals. The provided excel file (.xlsx) contains the in-house' sensitivity and specificity. If you want to run the manufacturer test performance (another sensitivity analysis) you need to change the values in D6, D7, E6, E7, F6, and F7. The database in .dta is provided to run the sensitivity analysis.</p>
SeisSol input files for the dynamic rupture scenarios based on the 2004 Sumatra-Andaman earthquake published in Madden et al. (2022) "The state of pore fluid pressure and 3D megathrust earthquake dynamics" JGR-Solid Earth
<p>This dataset contains the input files of the dynamic rupture scenarios from Madden, E. H., T. Ulrich and A.-A. Gabriel (2022), The State of Pore Fluid Pressure and 3-D Megathrust Earthquake Dynamics, Journal of Geophysical Research-Solid Earth, <a href="https://doi.org/10.1029/2021JB023382">https://doi.org/10.1029/2021JB023382</a>. (Earlier preprint available at: <a href="https://doi.org/10.1002/essoar.10508297.1">https://doi.org/10.1002/essoar.10508297.2</a>)</p> <p><strong>easi/yaml parameter files for the 6 scenarios studied: </strong><br> PAR_Sumatra_scen1new_gen.par, PAR_Sumatra_scen2new_gen.par, PAR_Sumatra_scen3new_gen.par, PAR_Sumatra_scen4new_gen.par, PAR_Sumatra_scen5new_gen.par, PAR_Sumatra_scen6new_gen.par</p> <p><strong>easi/yaml files setting initial on-fault friction, stress and pore fluid pressure conditions for the 6 scenarios studied: </strong>iniStress_Sumatra_scen1new.yaml, iniStress_Sumatra_scen2new.yaml, iniStress_Sumatra_scen3new.yaml, iniStress_Sumatra_scen4new.yaml, iniStress_Sumatra_scen5new.yaml, iniStress_Sumatra_scen6new.yaml<br> <br> <strong>easi/yaml file describing the rock elastic properties in all 6 scenarios:</strong> <br> matprops_Sumatra_2019_LVZ.yaml<br> <br> <strong>mesh file:</strong> <br> topo4_splays_fix9-14.1e6-28m.dtc1-v2-suma</p> <p> </p>
Figure 1 in Notes on broodcare by Hindumanes and updated distribution of the genus from published records and citizen science observations (Araneae: Salticidae: Lyssomaninae)
Figure 1. Male (1) and female (2) Hindumanes karnatakensis from Wayanad Wildlife Sanctuary, Kerala (31 MAY 2015). These are the individuals described by Sudin, Nafin & Sudhikumar (2017), and also appear as records (5) and (4), respectively, in Table 2. Photographs © K. S. Nafin (nafin_ks on iNaturalist), used under a CC BY-NC 4.0 license.
Figure 3 in Notes on broodcare by Hindumanes and updated distribution of the genus from published records and citizen science observations (Araneae: Salticidae: Lyssomaninae)
Figure 3. Known distribution of Hindumanes species in southern India. Numbers associated with each locality correspond to records listed in Table 2. Based on available records, this genus is endemic to southern India, and no other lyssomanines are known from India. Map credits: 1-2, Enhanced satellite images courtesy of NASA; 2, Overlay of borders, towns and roads courtesy of OpenStreetMap, © OpenStreetMap contributors (https://www.openstreetmap.org/copyright).
Figure 2. Female Hindumanes guarding her brood nest under a in Notes on broodcare by Hindumanes and updated distribution of the genus from published records and citizen science observations (Araneae: Salticidae: Lyssomaninae)
Figure 2. Female Hindumanes guarding her brood nest under a Colocasia esculenta leaf in a residential garden, Gudalur, Tamil Nadu (10:47-10:52, 17 AUG 2019). The young were just beginning to hatch. This is record 10 in Table 2 and Map Figure 3.
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.