2026-04-15T13:09:45Z https://zenodo.org/oai2d

oai:zenodo.org:8435639 2023-10-12T15:06:49Z openaire_data

4.5 CERN.ZENODO oai:zenodo.org:8435639 Gabriele Fedele Gabriele Fedele areti Zenodo 2023 Flexibility services DSO 2023-10-12 2023-10-12 eng 10.5281/zenodo.8435639 10.5281/zenodo.8435638 Creative Commons Attribution 4.0 International areti_market_flexibility_TSO_requestes areti_market_flexibility_DSO_requestes areti_market_flexibility_Aggregator_bids areti_market_flexibility_settlement areti_market_flexibility_outcomes - TSO flexibility requests: Starting Time Duration Market Type Market Session Flexibility Service Type Volumes Grid Area - DSO flexibility requests: Starting Time Duration Market Type Market Session Flexibility Service Type Volumes, Grid Area - Aggregator bids: Starting Time Duration Market Type Market Session Flexibility Service Type Volumes PoDs List - Settlement data: Pod Requested Active Power Measured Active Power Requested Reactive Power Measured Reactive Power - Market Outcomes: Market Outcome Id Market Type Market Session Flexibility Service Type Other than TSO flexibility requests, to test the demo, other data could be simulated. In this case, it will be indicated in the metadata documentation. (Useful link to consult Italian UC: https://smart-grid-use-cases.github.io/docs/usecases/platone/uc-it-1-voltage-management/; https://smart-grid-use-cases.github.io/docs/usecases/platone/uc-it-2-congestion-management/, https://platone-h2020.eu/data/deliverables/864300_M12_D1.1.pdf) European Commission 864300 PLATform for Operation of distribution NEtworks

oai:zenodo.org:8433301 2023-10-12T02:36:57Z openaire_data

4.5 CERN.ZENODO oai:zenodo.org:8433301 Lin, Sam Sam Lin 0000-0001-6834-2646 University of Wollongong Zenodo 2023 Archaeology Stone tools 3D modeling Orientation analysis 2023-10-12 2023-10-12 10.5281/zenodo.8433301 10.5281/zenodo.8433300 Creative Commons Attribution 4.0 International Data and R code for reproducing the results presented in 'in “A new method for quantifying flake scar organisation on cores using orientation statistics” by Lin et al. Australian Research Council DE200100502 Discovery Early Career Researcher Award - Grant ID: DE200100502

oai:zenodo.org:8433037 2023-10-11T22:10:01Z user-dryad openaire_data

4.5 CERN.ZENODO oai:zenodo.org:8433037 Dahlgren, Johan Johan Dahlgren 0000-0002-1125-9769 University of Southern Denmark Baden, Heide Maria Heide Maria Baden University of Southern Denmark Colchero, Fernando Fernando Colchero University of Southern Denmark Cubey, Robert Robert Cubey Royal Botanic Garden Edinburgh Zenodo 2023 Rhododendron botanic garden age 2023-10-11 2023-10-11 10.5061/dryad.cz8w9gj8q Creative Commons Zero v1.0 Universal Birth (planting) date, depart date, and depart type (C = censored (not dead), D = dead), for individuals of twelve Rhododendron species planted at the Royal Botanic Garden Edinburgh. Funding provided by: Danmarks Frie ForskningsfondCrossref Funder Registry ID: http://dx.doi.org/10.13039/501100011958Award Number:

oai:zenodo.org:8433767 2023-10-12T07:23:10Z openaire_data

4.5 CERN.ZENODO oai:zenodo.org:8433767 Li, Yunxiao Yunxiao Li 0000-0002-5537-3774 University of California Riverside Barton, John John Barton 0000-0003-1467-421X University of Pittsburgh School of Medicine Zenodo 2023 2023-10-12 2023-10-12 10.5281/zenodo.8433767 10.5281/zenodo.8433766 1.0.0 Creative Commons Attribution 4.0 International This dataset contains data that accompany the GitHub repository bartonlab/paper-covariance-estimation. The GitHub repository contains code and scripts for reproducing results described in the manuscript "Correlated allele frequency changes reveal clonal structure and selection in temporal genetic data." See the GitHub repository for details on the interpretation and analysis of this data.

oai:zenodo.org:8436799 2023-10-12T21:51:23Z openaire_data

4.5 CERN.ZENODO oai:zenodo.org:8436799 Pirro, S S Pirro Zenodo 2023 2023-10-12 2023-10-12 10.5281/zenodo.8436799 10.5281/zenodo.8436798 Creative Commons Attribution 4.0 International .

oai:zenodo.org:8436014 2023-10-12T15:47:58Z user-dryad openaire_data

4.5 CERN.ZENODO oai:zenodo.org:8436014 Trout Fryxell, R. R. Trout Fryxell 0000-0003-2133-0220 University of Tennessee at Knoxville Chavez-Lindell, T. T. Chavez-Lindell University of Tennessee at Knoxville Butler, R. R. Butler University of Tennessee at Knoxville Odoi, A. A. Odoi University of Tennessee at Knoxville Zenodo 2023 tick surveillance Epidemiology Haemphysalis longicornis 2023-10-12 2023-10-12 10.5061/dryad.9w0vt4bnc Creative Commons Zero v1.0 Universal Since the 2017 discovery of established populations of the Asian longhorned tick, (Haemaphysalis longicornis Neumann) in the United States, populations continue to be detected in new areas. For this exotic and invasive species, capable of transmitting a diverse repertoire of pathogens and blood-feeding on a variety of host species, there remains a lack of targeted information on how to best prepare for this tick and understand when and where it occurs. To fill this gap, we conducted two years of weekly tick surveillance at four farms in Tennessee (three H. longicornis-infested and one without) to identify environmental factors associated with each questing life stage, to investigate predictors of abundance, and to determine the likelihood of not collecting ticks at different life stages. A total of 46,770 ticks were collected, of which 12,607 H. longicornis and five other tick species were identified. Overall, abundance of H. longicornis was associated with spring and summer seasons, forested environments, relative humidity and barometric pressure, sunny conditions, and in relation with other tick species. The likelihood of not collecting H. longicornis was associated with day length and barometric pressure. Additional associations for different life stages were also identified and included other tick species, climatic variables, and environmental conditions. Here, we demonstrated that environmental variables can be useful to predict the presence of questing H. longicornis and provide ideas on how to use this information to develop a surveillance plan for different southeastern areas with and without infestations. Funding provided by: Foundation for Food and Agriculture ResearchCrossref Funder Registry ID: http://dx.doi.org/10.13039/100011929Award Number: ROAR-0000000026

oai:zenodo.org:8436315 2023-10-12T17:24:23Z openaire_data

4.5 CERN.ZENODO oai:zenodo.org:8436315 Sebastián Cardona-Acevedo Sebastián Cardona-Acevedo 1 Centro de investigaciones, Institución Universitaria Escolme, Medellín, Colombia. 2 Coordinador de Proyectos, EducaInt, Medellín, Colombia. Juan Camilo Patiño-Vanegas Juan Camilo Patiño-Vanegas Facultad de Ciencias Económicas y Administrativas, Instituto Tecnológico Metropolitano, Medellín, Colombia. Diana Arango-Botero Diana Arango-Botero Facultad de Ciencias Económicas y Administrativas, Instituto Tecnológico Metropolitano, Medellín, Colombia. Alejandro Valencia-Arias Alejandro Valencia-Arias School of Industrial Engineering, Universidad Señor de Sipán, Chiclayo, Perú. Juana De La Cruz Ramírez-Dávila Juana De La Cruz Ramírez-Dávila Departamento de Estudios Generales, Universidad Señor de Sipán, Chiclayo, Perú. Jackeline Valencia Jackeline Valencia Instituto de Investigación y Estudios de la Mujer, Universidad Ricardo Palma, Lima, Perú. Carlos Flores-Goycochea Carlos Flores-Goycochea Universidad Ricardo Palma, Lima, Perú. Zenodo 2023 personalization decision making artificial intelligence digital marketing PRISMA-2020 2023-10-12 2023-10-12 eng 10.5281/zenodo.8436315 10.5281/zenodo.8436314 1 Creative Commons Attribution 4.0 International Currently, machine learning applications in marketing allow to optimize strategies, personalize experiences and improve decision making. However, there are still several research gaps, so the objective is to examine the research trends in the use of machine learning in marketing. A bibliometric analysis is proposed to assess the current scientific activity, following the parameters established by PRISMA-2020. Machine learning applications in marketing have experienced steady growth and increased attention in the academic community. Key references, such as Miklosik and Evans, and prominent journals, such as IEEE Access and Journal of Business Research, have been identified. A thematic evolution towards big data and digital marketing is observed, and thematic clusters such as "digital marketing", "interpretation", "prediction", and "healthcare" stand out. These findings demonstrate the continued importance and research potential of this evolving field.

oai:zenodo.org:8435974 2023-10-12T16:23:28Z openaire_data

4.5 CERN.ZENODO oai:zenodo.org:8435974 Aurélien Ribes Aurélien Ribes 0000-0001-5102-7885 CNRM, Université de Toulouse, Météo-France, CNRS Octave Tessiot Octave Tessiot CNRM, Université de Toulouse, Météo-France, CNRS Zenodo 2023 2023-10-12 2023-10-12 eng 10.5281/zenodo.8435974 10.5281/zenodo.8435973 0.9 Creative Commons Attribution 4.0 International This file contains datasets associated with the research article "Cold waves likely never to happen again". All data (observations and CMIP6 models) needed to reproduce key results of this paper are included here.   Data is spread over 4 directories, one for each event considered (Europe, China, Brazil, Texas). Each directory contains inputs and outputs. Directory 'input' includes time-series of: - CMIP6 model data for the covariate X, - CMIP6 model data for the variable Y used to define the event (eg TMn10d for Europe), - (pseudo-)observations from ERA5 for the covariate X, - (pseudo-)observations from ERA5 for the variable Y used to define the event (eg, TMn10d for Europe).   Directory 'ouput' includes the key results from the statistical analysis: - Summary_CXCB.txt provides key numbers for probability and intensity of the events, in the factual and counter-factual world. - *paramsCXCB.nc provides the time-series of the fitted (posterior distribution) GEV coefficients (mu,sigma,xi). - *climCXCB.nc provides details about the event definition, the fitted non-stationary GEV parameters, the covariate X, and key outpus such as the estimated probability and intensity of the event.

oai:zenodo.org:8437424 2023-10-13T04:36:11Z user-dryad openaire_data

4.5 CERN.ZENODO oai:zenodo.org:8437424 Purkayastha, Purboja Purboja Purkayastha Texas A&M University Pendyala, Kavya Kavya Pendyala Texas A&M University Saxena, Ayush S Ayush S Saxena 0000-0002-1190-3905 University of Florida Hakimjavadi, Hesamedin Hesamedin Hakimjavadi University of Florida Chamala, Srikar Srikar Chamala University of Florida Dixit, Purushottam Purushottam Dixit University of Florida Baer, Charles Charles Baer 0000-0002-0140-5814 University of Florida Lele, Tanmay P Tanmay P Lele Texas A&M University Zenodo 2023 Experimental Evolution phenotypic plasticity mechanotransduction Gene expression evolutionary cell biology Genetics Molecular biology Ecology, Evolution, Behavior and Systematics 2023-10-12 2023-10-13 10.5061/dryad.fxpnvx0zm https://github.com/srikarchamala/cellular_evolution_paper 10.1093/molbev/msab102 Creative Commons Zero v1.0 Universal Mechanical properties such as substrate stiffness are a ubiquitous feature of a cell's environment. Many types of animal cells exhibit canonical phenotypic plasticity when grown on substrates of differing stiffness, in vitro and in vivo. Whether such plasticity is a multivariate optimum due to hundreds of millions of years of animal evolution, or instead is a compromise between conflicting selective demands, is unknown. We addressed these questions by means of experimental evolution of populations of mouse fibroblasts propagated for approximately 90 cell generations on soft or stiff substrates. The ancestral cells grow twice as fast on stiff substrate as on soft substrate and exhibit the canonical phenotypic plasticity. Soft-selected lines derived from a genetically diverse ancestral population increased growth rate on soft substrate to the ancestral level on stiff substrate and evolved the same multivariate phenotype. The pattern of plasticity in the soft-selected lines was opposite of the ancestral pattern, suggesting that reverse plasticity underlies the observed rapid evolution. Conversely, growth rate and phenotypes did not change in selected lines derived from clonal cells. Overall, our results suggest that the changes were the result of genetic evolution and not phenotypic plasticity per se. Whole-transcriptome analysis revealed consistent differentiation between ancestral and soft-selected populations, and that both emergent phenotypes and gene expression tended to revert in the soft-selected lines. However, the selected populations appear to have achieved the same phenotypic outcome by means of at least two distinct transcriptional architectures related to mechanotransduction and proliferation. Funding provided by: National Science FoundationCrossref Funder Registry ID: http://dx.doi.org/10.13039/100000001Award Number: 1838316 Funding provided by: National Institute of General Medical SciencesCrossref Funder Registry ID: http://dx.doi.org/10.13039/100000057Award Number: GM107227 Funding provided by: Cancer Prevention and Research Institute of TexasCrossref Funder Registry ID: http://dx.doi.org/10.13039/100004917Award Number: RR200043 Funding provided by: National Institutes of HealthCrossref Funder Registry ID: http://dx.doi.org/10.13039/100000002Award Number: R01GM107227

oai:zenodo.org:6645396 2023-10-12T05:34:03Z openaire_data

4.5 CERN.ZENODO oai:zenodo.org:6645396 Thronsen, Elisabeth Elisabeth Thronsen Norwegian university of science and technology (NTN) Bergh, Tina Tina Bergh NTNU Thorsen, T. I. T. I. Thorsen NTNU Christensen, E. F. E. F. Christensen 0000-0001-6643-503X NTNU Frafjord, J. J. Frafjord NTNU Zenodo 2022 Transmission electron microscopy Machine learning Template matching 4D-STEM 2022-06-15 2023-10-12 10.5281/zenodo.6645396 10.5281/zenodo.8321258 10.5281/zenodo.6645395 Creative Commons Attribution 4.0 International Data needed to reproduce the results in  "Scanning precession electron diffraction data analysis approaches for phase mapping of precipitates in aluminium alloys" published in Ultramicroscopy. The codes and notebooks can be found at 10.5281/zenodo.8321258.

oai:zenodo.org:8435744 2023-10-12T14:39:12Z openaire_data

4.5 CERN.ZENODO oai:zenodo.org:8435744 Julve, Joaquin Joaquin Julve 0000-0002-9430-6814 Universidad de Concepción Barbot, Sylvain Sylvain Barbot University of Southern California Moreno, Marcos Marcos Moreno Pontifice Universidad Católica de Chile Tassara, Andrés Andrés Tassara Universidad de Concepción Araya, Rodolfo Rodolfo Araya Universidad de Concepción Catalán, Nicole Nicole Catalán Universidad de Concepción Crempien, Jorge Jorge Crempien Pontifice Universidad Católica de Chile Becerra-Carreño, Valeria Valeria Becerra-Carreño Pontifice Universidad Católica de Chile Zenodo 2023 2023-10-12 2023-10-12 10.5281/zenodo.8435744 10.5281/zenodo.8435743 Creative Commons Attribution 4.0 International Data related with the publication of "Recurrence Time and Size of Chilean Earthquakes Influenced by Geological Structure". Temperature model files are uploaded as .h5 .xdmf and .csv to visualize in paraview or your preferred software. The coseismic slip inversion for the Valdivia earthquake files are in .dat extension, please note that uncertainties are in the sigmainv.dat. Finally, we have uploaded all the input files necessary to run the quasi-dynamic model using Unicycle.

oai:zenodo.org:8436080 2023-10-12T16:07:33Z openaire_data

4.5 CERN.ZENODO oai:zenodo.org:8436080 qkoqhh qkoqhh 0000-0003-4423-4370 Harvard Medical School Zenodo 2023 2023-10-12 2023-10-12 eng 10.5281/zenodo.8436080 10.5281/zenodo.8436079 2023-10-13 Creative Commons Zero v1.0 Universal test description

oai:zenodo.org:8415038 2023-10-11T21:41:49Z openaire_data

4.5 CERN.ZENODO oai:zenodo.org:8415038 Schmidt, Ralf Ralf Schmidt 0000-0002-6697-0363 Gladstone InstitutesUCSF/Medical University of Vienna Ward, Carl C Carl C Ward 0000-0002-1188-4839 Gladstone Institutes/UCSF Marson, Alexander Alexander Marson 0000-0002-2734-5776 Gladstone Institutes/UCSF Zenodo 2023 2023-10-09 2023-10-11 eng 10.5281/zenodo.8415038 10.5281/zenodo.8415037 Creative Commons Attribution 4.0 International Jupyter notebook and supplemental datasets required to created critical figures for the publication. National Institutes of Health 5P01AI138962-03 Inherited T cell defects: Diagnosis, Mechanisms and Treatments

oai:zenodo.org:8433237 2023-10-12T02:23:58Z openaire_data

4.5 CERN.ZENODO oai:zenodo.org:8433237 Nikumbh, Akshaya Akshaya Nikumbh AOS, Princeton University Lin, Pu Pu Lin AOS, Princeton University Paynter, David David Paynter Geophysical Fluid Dynamics Laboratory (GFDL), NOAA Ming, YI YI Ming Boston college Zenodo 2023 2023-10-10 2023-10-12 10.5281/zenodo.8433237 10.5281/zenodo.8433236 Creative Commons Attribution 4.0 International Selected variables from a Geophysical Fluid Dynamics Laboratory's (GFDL) global atmospheric model version 4.0 (AM4) for a horizontal resolution of ~25 km (c384). Details of the simulations are documented in a manuscript titled "Does increasing horizontal resolution improve the simulation of intense tropical rainfall?" to be submitted to the Geophysical Research letters.

oai:zenodo.org:8435619 2023-10-12T14:04:11Z openaire_data

4.5 CERN.ZENODO oai:zenodo.org:8435619 Roman Y. Shopa Roman Y. Shopa Department of Complex Systems, National Centre for Nuclear Research, Otwock-Świerk, Poland Kamil Dulski Kamil Dulski Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland; Center for Theranostics, Jagiellonian University, Kraków, Poland; and INFN, Laboratori Nazionali di Frascati, Frascati Zenodo 2023 2023-10-12 2023-10-12 10.5281/zenodo.8435619 10.5281/zenodo.8435618 -- Creative Commons Attribution 4.0 International Data from the simulation for the J-PET detector with four sources, designed to test positronium imaging reconstruction algorithm. Data generated with the J-PET Geant4 and analyzed with the J-PET Framework. Data in form: Deexcitation Hit2 X[cm], Deexcitation Hit2 Y[cm], Deexcitation Hit2 Z[cm], Deexcitation Hit2 time[ps], Annihilation Hit1 X[cm], Annihilation Hit1 Y[cm], Annihilation Hit1 Z[cm], Annihilation Hit1 time[ps], Annihilation Hit2 X[cm], Annihilation Hit2 Y[cm], Annihilation Hit2 Z[cm], Annihilation Hit2 time[ps] We acknowledge the support by the Foundation for Polish Science through TEAM POIR.04.04.00-00-4204/17, the National Science Centre of Poland (through grants No. 2021/41/N/ST2/03950, 2021/42/A/ST2/00423, 2021/43/B/ST2/02150), the Ministry of Education and Science through grant No. SPUB/SP/490528/2021, the Jagiellonian University via project CRP/0641.221.2020, as well as the SciMat and qLife Priority Research Areas budget under the program Excellence Initiative - Research University at the Jagiellonian University

oai:zenodo.org:8435051 2023-10-12T11:53:28Z user-19eng02-futureenergy openaire_data

4.5 CERN.ZENODO oai:zenodo.org:8435051 Elg, A.-P. A.-P. Elg RISE Houtzager, Ernest Ernest Houtzager VSL Rietveld, Gert Gert Rietveld VSL Merev, A. A. Merev TUBITAK Hällström, J. J. Hällström VTT Havunen, J. J. Havunen VTT Meisner, Johann Johann Meisner PTB Dedeoglu, S. S. Dedeoglu TUBITAK Bergman, A. A. Bergman RISE Zenodo 2022 2022-12-14 2023-10-12 eng 10.5281/zenodo.8435051 10.5281/zenodo.8237743 10.5281/zenodo.8435050 Creative Commons Attribution 4.0 International In order to calibrate high voltage dividers in testing laboratories and HVDC converter substations, a new measurement infrastructure for on-site calibration up to 1000 kV was established in 2013. A 1000 kV wide-band modular HVDC divider was built divided into stackable 200 kV HV modules for agile on-site assessment, with protection against damage from transients, and for measuring of ripple voltage. Nine 200 kV modules were built by the five NMIs and stacked to one 1000 kV divider and one 800 kV voltage divider. The scale factors of the two dividers were determined in a comparison campaign in June 2013, resulting in a combined expanded uncertainty better than 20 μV/V at 1000 kV, and better than 15 μV/V for 200 kV. Traceability of five modular systems have since been maintained using three methods; where the first method is calibration of the HV resistance of each module and LV arm, calculating the scale factors. The second method uses the Hamon transfer method, applied by RISE with five 200 kV modules. The third method is by comparison of the scale factor which includes the LV arm against a lower voltage reference divider. This paper presents the stability and robustness of all divider systems from June 2013 to spring 2022. The long-term stability is presented for the resistance of both the high voltage and the low voltage arm as well as the scale factor. The result shows an unprecedented stability of a HV divider system.

oai:zenodo.org:8436593 2023-10-12T19:09:56Z user-dryad openaire_data

4.5 CERN.ZENODO oai:zenodo.org:8436593 Matten, Damaris M. Damaris M. Matten 0000-0003-1726-5243 Norwegian University of Science and Technology Mienna, Ida M. Ida M. Mienna University of Oslo Bieker, Vanessa C. Vanessa C. Bieker Norwegian University of Science and Technology Mishler, Brent D. Brent D. Mishler University of California, Berkeley Moen, Victoria S. Victoria S. Moen Norwegian Institute of Bioeconomy Research Nygaard, Malene Malene Nygaard University of Agder Vuorinen, Katariina E. M. Katariina E. M. Vuorinen Norwegian Institute for Nature Research Bendiksby, Mika Mika Bendiksby University of Oslo Martin, Michael D. Michael D. Martin Norwegian University of Science and Technology Speed, James D. M. James D. M. Speed Norwegian University of Science and Technology Zenodo 2023 Biodiversity spatial phylogenetics conservation species-area relationship phylogenetic diversity-area relationship flora 2023-10-12 2023-10-12 10.5061/dryad.n8pk0p303 Creative Commons Zero v1.0 Universal Protected areas are one of the main strategic means for conserving biodiversity. Yet, the design of protected areas usually neglects phylogenetic diversity, an important diversity measure. In this paper, we assess the phylogenetic diversity and species richness of vascular plants in Fennoscandian protected areas. We evaluate how much species richness and phylogenetic diversity is found within and outside protected areas, and the differences in diversity between different categories of protected areas. We also assess the differences in the diversity-area relationship of the different protected area categories in terms of both species richness and phylogenetic diversity. We build a multi-locus phylogeny of 1,519 native vascular plants of Norway, Sweden, and Finland. We estimate the phylogenetic diversity and species richness by combining the phylogeny with publicly available occurrence data and the currently protected area system of Fennoscandia. Our results indicate that protected areas in Fennoscandia hold more diversity when larger, and that phylogenetic diversity increases faster with area than species richness. We found evidence for more diversity outside of protected areas of the different countries of Fennoscandia than inside of protected areas, but no evidence for diversity differences between areas with different protection status. Hence, our results indicate that the current protected area system in Fennoscandia is no more effective in conserving phylogenetic diversity and species richness of vascular plants than a random selection of localities. Our results also indicate that planning conservation strategies around phylogenetic diversity, rather than species richness, might be more effective in protecting vascular plant diversity. Funding provided by: Peder Sather Center for Advanced StudyCrossref Funder Registry ID: http://dx.doi.org/10.13039/100012388Award Number: Funding provided by: Norges Teknisk-Naturvitenskapelige UniversitetCrossref Funder Registry ID: http://dx.doi.org/10.13039/100009123Award Number:

oai:zenodo.org:8436036 2023-10-12T15:55:01Z user-dryad openaire_data

4.5 CERN.ZENODO oai:zenodo.org:8436036 Hayes, Sue M. Sue M. Hayes 0009-0007-3107-2487 York University Boyd, Brendan P. Brendan P. Boyd York University Israel, Alexandra M. Alexandra M. Israel York University Stutchbury, Bridget J. M. Bridget J. M. Stutchbury York University Zenodo 2023 fragment size fledgling survival pre-migration survival apparent juvenile survival fall migration timing Wood Thrush Motus 2023-10-12 2023-10-12 10.5061/dryad.bcc2fqzk0 10.5281/zenodo.8422895 10.5281/zenodo.8422897 Creative Commons Zero v1.0 Universal Determining the drivers and mechanisms for first-year survival of migratory songbirds has been an understudied area in population dynamics due to the difficulty in tracking juveniles once they have dispersed from the natal site. With the advancement in miniaturization of radio-tags (battery life ~400 days) and the development of the Motus Wildlife Tracking System, we tracked 189 Wood Thrush nestlings through independence and to fall migration departure, and their return the following spring. Natal forest fragment size was not a good predictor of survival at any of the main life stages and onset of fall migration was predicted by fledge date but not natal fragment size. The percent forest cover in the landscape (at 2-km scale) had only a weak effect on fledgling survival. Survival probability was lowest for fledglings on their natal territory (70%, or 0.86 weekly survival probability), very high for juveniles as they explored the local landscape prior to fall migration (89%, or 0.99 weekly survival probability) and low during their first migration and wintering season (26%, or 0.95 weekly survival probability). To our knowledge, this is the first study to directly estimate annual apparent juvenile survival in a migratory songbird using year-round radio-tracking. Our study suggests that small forest fragments are important for the conservation for forest songbirds because they can support high survival of juveniles. Funding provided by: Natural Sciences and Engineering Research Council of CanadaCrossref Funder Registry ID: http://dx.doi.org/10.13039/501100000038Award Number:

oai:zenodo.org:8435629 2023-10-12T14:48:33Z user-dryad openaire_data

4.5 CERN.ZENODO oai:zenodo.org:8435629 Fuentes, Roven Rommel Roven Rommel Fuentes 0009-0002-8512-619X Max Planck Institute for Plant Breeding Research van Rengs, Willem M. J. Willem M. J. van Rengs Max Planck Institute for Plant Breeding Research Wang, Yazhong Yazhong Wang Max Planck Institute for Plant Breeding Research Underwood, Charles Charles Underwood Max Planck Institute for Plant Breeding Research Zenodo 2023 Funtelle Maxeza genome assembly tomato 2023-10-12 2023-10-12 10.5061/dryad.931zcrjs4 Creative Commons Zero v1.0 Universal Modern commercial varieties of tomato (Solanum lycopersicum) are typically F1 hybrids that are genetically heterozygous. Here we generated haplotype-aware assemblies of two different tomato commercial hybrids (Funtelle and Maxeza) using PacBio HiFi reads. The HiFi data was assembled using the Hifiasm assembler allowing for the generation of contigs that distinguish the two parental haplotypes (haplotype-aware assembly). Reference based scaffolding was used to generate the chromosome-scale assemblies available here. It should be noted that although the raw assembly manages to fully distinguish haplotypes we did not test whether the working reference sequence we make available here is fully phased at the chromosome level.

oai:zenodo.org:8436654 2023-10-12T19:58:05Z user-dryad openaire_data

4.5 CERN.ZENODO oai:zenodo.org:8436654 Powder, Kara Kara Powder 0000-0001-7415-4262 Clemson University DeLorenzo, Leah Leah DeLorenzo Clemson University Zenodo 2023 Geometric Morphometrics craniofacial development cichlid 2023-10-12 2023-10-12 10.5061/dryad.0zpc86746 Creative Commons Zero v1.0 Universal A central question in biology is the molecular origins of phenotypic diversity. While genetic changes are key to the genotype-phenotype relationship, alterations to chromatin structure and the physical packaging of histone proteins may also be important drivers of vertebrate divergence. We investigate the impact of such an epigenetic mechanism, histone acetylation, within a textbook example of an adaptive radiation. Cichlids of Lake Malawi have adapted diverse craniofacial structures, and here we investigate how histone acetylation influences morphological variation in these fishes. Specifically, we assessed the effect of inhibiting histone deacetylation using the drug trichostatin A (TSA) on developing facial structures. We examined this during three critical developmental windows in two cichlid species with alternate adult morphologies. Exposure to TSA during neural crest cell (NCC) migration and as post-migratory NCCs proliferate into the pharyngeal arches resulted in significant changes in lateral and ventral shape in Maylandia, but not in Tropheops. This included an overall shortening of the head, widening of the lower jaw, and steeper craniofacial profile, all of which are paedomorphic morphologies. In contrast, treatment with TSA during early chondrogenesis did not result in significant morphological changes in either species. Together, these data suggest a sensitivity to epigenetic alterations that are both time- and species-dependent. We find that morphologies are due to non-autonomous or potentially indirect effects on NCC development, including in part a global developmental delay. Our research bolsters the understanding that proper histone acetylation is essential for early craniofacial development and identifies a species-specific robustness to developmental change. Overall, this study demonstrates how epigenetic regulation may play an important role in both generating and buffering morphological variation. Funding provided by: National Science FoundationCrossref Funder Registry ID: http://dx.doi.org/10.13039/100000001Award Number: 1942178 Funding provided by: National Institute of General Medical SciencesCrossref Funder Registry ID: http://dx.doi.org/10.13039/100000057Award Number: P20GM121342 Funding provided by: National Institute of Dental and Craniofacial ResearchCrossref Funder Registry ID: http://dx.doi.org/10.13039/100000072Award Number: R15DE029945

oai:zenodo.org:8434673 2023-10-12T10:18:48Z user-dryad openaire_data

4.5 CERN.ZENODO oai:zenodo.org:8434673 Bedoya, Maria Alejandra Maria Alejandra Bedoya Icesi University Thomas, William William Thomas 0009-0002-3858-2440 Stony Brook University Zenodo 2023 captivity RNAseq Brain shrew 2023-10-12 2023-10-12 10.5061/dryad.qz612jmng 10.5281/zenodo.8408014 Creative Commons Zero v1.0 Universal Compared to their free-ranging counterparts, wild animals in captivity are subject to different conditions with lasting effects on their physiology and behavior. Alterations in gene expression in response to environmental changes occur upstream of physiological and behavioral phenotypes, but there are no experiments analyzing differential gene expression in captive vs. free-ranging mammals. We assessed gene expression profiles of three brain regions (cortex, olfactory bulb, and hippocampus) of wild juvenile shrews (Sorex araneus) in comparison to shrews kept in captivity for two months. We found hundreds of differentially expressed genes in all three brain regions, suggesting a large and uniform captivity effect. Many of the downregulated genes in captive shrews significantly enrich pathways associated with neurodegenerative disease (p<0.001), oxidative phosphorylation (p<0.001), and genes encoding ribosomal proteins (p<0.001). Transcriptomic changes associated with captivity in the shrew resemble responses identified in several human pathologies, such as major depressive disorder and neurodegeneration. Thus, not only does captivity impact brain function and expression, but captivity effects may also confound analyses of natural physiological processes in wild individuals under captive conditions. Funding provided by: Human Frontier Science ProgramCrossref Funder Registry ID: http://dx.doi.org/10.13039/501100000854Award Number: RGP0013/2019 Funding provided by: Hearst FoundationsCrossref Funder Registry ID: http://dx.doi.org/10.13039/100000933Award Number:

oai:zenodo.org:8437146 2023-10-13T02:49:12Z openaire_data

4.5 CERN.ZENODO oai:zenodo.org:8437146 Guay, Jessika D. Jessika D. Guay Carleton University Lennox, Robert J. Robert J. Lennox NORCE Norwegian Research Centre Thorstad, Eva B. Eva B. Thorstad Norwegian Institute for Nature Research Vollset, Knut W. Knut W. Vollset NORCE Norwegian Research Centre Stensland, Stian Stian Stensland Norwegian University of Life Sciences Erkinaro, Jaakko Jaakko Erkinaro Natural Resources Institute Finland (Luke) Nguyen, Vivian M. Vivian M. Nguyen Carleton University Zenodo 2023 angler perceptions angler behaviour fisheries management invasive species human dimensions recreational fishing socioeconomic 2023-10-13 2023-10-13 10.5281/zenodo.8437146 10.5281/zenodo.8437145 Creative Commons Attribution 4.0 International Anonymized and cleaned survey data associated with the publication "Recreational anglers in Norway report widespread dislike of invasive pink salmon" in People and Nature. Two datasets include the initial survey sent in 2020, as well as the second survey sent in 2021 (second dataset includes the combined responses from participants who responded to both surveys).

oai:zenodo.org:8429699 2023-10-13T06:06:03Z openaire_data

4.5 CERN.ZENODO oai:zenodo.org:8429699 Shokeen, Vishal Vishal Shokeen Uppsala University Durr, Hermann Hermann Durr Uppsala University Zenodo 2023 2023-10-12 2023-10-13 eng 10.5281/zenodo.8429699 10.5281/zenodo.8429698 Creative Commons Attribution 4.0 International time resolved and angle resolved photoemission is measured on Ni/W.

oai:zenodo.org:8435503 2023-10-12T13:43:46Z openaire_data

4.5 CERN.ZENODO oai:zenodo.org:8435503 Xing Wang Xing Wang Key Laboratory of Lunar and Deep Space Exploration, National Astronomical Observatories, Chinese Academy of Sciences, Beijing, China; School of Astronomy and Space Science, University of Chinese Academy of Sciences, Beijing, China; Department of Earth, Environmental, and Planetary Sciences, Brown University, Providence, RI, USA James W. Head James W. Head Department of Earth, Environmental, and Planetary Sciences, Brown University, Providence, RI, USA. Yuan Chen Yuan Chen Key Laboratory of Lunar and Deep Space Exploration, National Astronomical Observatories, Chinese Academy of Sciences, Beijing, China. Feiyue Zhao Feiyue Zhao Key Laboratory of Lunar and Deep Space Exploration, National Astronomical Observatories, Chinese Academy of Sciences, Beijing, China; School of Astronomy and Space Science, University of Chinese Academy of Sciences, Beijing, China. Mikhail A. Kreslavsky Mikhail A. Kreslavsky Earth and Planetary Sciences, University of California, Santa Cruz, CA, USA. Lionel Wilson Lionel Wilson Lancaster Environment Centre, Lancaster University, Lancaster, U.K. Yuqi Qian Yuqi Qian Department of Earth Sciences, University of Hong Kong, Hong Kong, China. Jianjun Liu Jianjun Liu Key Laboratory of Lunar and Deep Space Exploration, National Astronomical Observatories, Chinese Academy of Sciences, Beijing, China; School of Astronomy and Space Science, University of Chinese Academy of Sciences, Beijing, China. Chunlai Li Chunlai Li Key Laboratory of Lunar and Deep Space Exploration, National Astronomical Observatories, Chinese Academy of Sciences, Beijing, China; School of Astronomy and Space Science, University of Chinese Academy of Sciences, Beijing, China. Zenodo 2023 Moon South Pole-Aitken basin Cryptomare 2023-10-12 2023-10-12 eng 10.5281/zenodo.8435503 10.5281/zenodo.8435502 1.0 Creative Commons Attribution 4.0 International This dataset contains the areal extents of the SPA central cryptomaria analyzed in Wang et al. (2023), as shown in Figure 8. The data is in 'shafile' format and can be opened directly in ArcGIS software. The data is in the stereographic projection centered at the center of SPA (191.1°E, 53.2°S; Garrick-Bethell and Zuber, 2009). MinExt_SPACC=Minimum areal extent of the SPA central cryptomaria; MaxExt_SPACC=Maximum areal extent of the SPA central cryptomaria.

oai:zenodo.org:8435813 2023-10-12T15:38:01Z openaire_data

4.5 CERN.ZENODO oai:zenodo.org:8435813 Lisa V. Drummond Lisa V. Drummond MIT Philip Lynch Philip Lynch AEI, Max Planck Institute Alexandra G. Hanselman Alexandra G. Hanselman Univeristy of Chicago Devin R. Becker Devin R. Becker MIT Scott A. Hughes Scott A. Hughes MIT Zenodo 2023 2023-10-12 2023-10-12 10.5281/zenodo.8435813 10.5281/zenodo.8435812 Creative Commons Attribution 4.0 International Radiation-reaction fluxes and NIT interpolant data for paper "Extreme mass-ratio inspiral and waveforms for a spinning body into a Kerr black hole via osculating geodesics and near-identity transformations"

oai:zenodo.org:8436282 2023-10-12T17:46:01Z openaire_data

4.5 CERN.ZENODO oai:zenodo.org:8436282 Hofmann, Mateus Mateus Hofmann 0000-0002-4357-3840 École Polytechnique Fédérale de Lausanne Keller, Thomas Thomas Keller 0000-0002-0430-8438 École Polytechnique Fédérale de Lausanne Zenodo 2023 2023-10-12 2023-10-12 10.5281/zenodo.8436282 10.5281/zenodo.8436281 Creative Commons Attribution 4.0 International This is a dataset related to documentation considered for analysis associated with the following publication: Hofmann and Keller. "XXXX". Journal of XXXX. The archive savedrecs.xlsx are the records from Web of Science Core Collection. The archive scopus.xlsx are the records from Scopus. The archive source_not_considered.xlsx are the journals not considered for this research.

oai:zenodo.org:8433069 2023-10-11T22:59:57Z openaire_data

4.5 CERN.ZENODO oai:zenodo.org:8433069 Ordoñez, June F June F Ordoñez Ravago-Gotanco, Rachel Rachel Ravago-Gotanco Marine Science Institute - University of the Philippines Zenodo 2023 2023-10-13 2023-10-11 10.5281/zenodo.8433069 10.5281/zenodo.8433068 Creative Commons Attribution 4.0 International The genotype data used for the assignment analyses provided as a GenePop file (.gen)

oai:zenodo.org:8436180 2023-10-12T16:44:07Z openaire_data

4.5 CERN.ZENODO oai:zenodo.org:8436180 Dodson-Robinson, Sarah and Haley, Charlotte Dodson-Robinson, Sarah and Haley, Charlotte University of Delaware, Argonne National Lab Zenodo 2023 2023-10-12 2023-10-12 eng 10.5281/zenodo.8436180 10.5281/zenodo.8436179 Creative Commons Attribution 4.0 International To demonstrate the spectral window shaping capabilities of the missing data multitaper power spectrum estimator, we used the timestamps from this set of 55 Cnc observations by CHEOPS (PI: B. Demory). The data file contains the timestamps [MJD], fluxes, and flux errors.

oai:zenodo.org:8435160 2023-10-12T12:36:47Z openaire_data

4.5 CERN.ZENODO oai:zenodo.org:8435160 Cao, Viet Dang Viet Dang Cao Agronomy Department, Plant Molecular and Cellular Biology Program, Genetics Institute, University of Florida, IFAS, Gainesville, FL, USA. DOE Center for Advanced Bioenergy and Bioproducts Innovation, Gainesville, FL, USA Kannan, Baskaran Baskaran Kannan Agronomy Department, Plant Molecular and Cellular Biology Program, Genetics Institute, University of Florida, IFAS, Gainesville, FL, USA. DOE Center for Advanced Bioenergy and Bioproducts Innovation, Gainesville, FL, USA Luo, Guangbin Guangbin Luo Agronomy Department, Plant Molecular and Cellular Biology Program, Genetics Institute, University of Florida, IFAS, Gainesville, FL, USA. DOE Center for Advanced Bioenergy and Bioproducts Innovation, Gainesville, FL, USA Liu, Hui Hui Liu Biology Department, Brookhaven National Laboratory, Upton, NY, USA. DOE Center for Advanced Bioenergy and Bioproducts Innovation, Upton, NY, USA Shanklin, John John Shanklin Biology Department, Brookhaven National Laboratory, Upton, NY, USA. DOE Center for Advanced Bioenergy and Bioproducts Innovation, Upton, NY, USA Altpeter, Fredy Fredy Altpeter 0000-0002-0894-4976 Agronomy Department, Plant Molecular and Cellular Biology Program, Genetics Institute, University of Florida, IFAS, Gainesville, FL, USA. DOE Center for Advanced Bioenergy and Bioproducts Innovation, Gainesville, FL, USA Zenodo 2023 Bioenergy, energycane, lipids, biodiesel, biofuel, transgenic 2023-10-12 2023-10-12 10.5281/zenodo.8435160 10.5281/zenodo.8435159 Creative Commons Attribution 4.0 International Raw data for publication:  Viet Dang Cao, Baskaran Kannan, Guangbin Luo, Hui Liu, John Shanklin, and Fredy Altpeter. 2023. Triacylglycerol, total fatty acid and biomass accumulation of metabolically engineered energycane grown under field conditions. GCB-Bioenergy (accepted for publication).

oai:zenodo.org:8333281 2023-10-12T01:34:35Z openaire_data

4.5 CERN.ZENODO oai:zenodo.org:8333281 Ayumu Tsubosaka Ayumu Tsubosaka 0000-0002-3699-9659 The University of Tokyo Shumpei Ishikawa Shumpei Ishikawa The University of Tokyo Zenodo 2023 Stomach spatial transcriptome Intestinal metaplasia CosMx 2023-10-12 2023-10-12 eng 10.5281/zenodo.8333281 10.5281/zenodo.8333280 Creative Commons Attribution 4.0 International This dataset contains the spatial transcriptome dataset of human gastric mucosa obtained by CosMx A zip file contains the following folders and files: Folders - CellComposite folder: the composite immunofluorescent images of each FOV. - CellLabels folder: the cell definitions images for each FOV determined during cell segmentation. - CellOverlay folder: the cell boundary images for each FOV determined during cell segmentation. - CompartmentLabels folder: the subcellular compartment images for each FOV determined during cell segmentation. The compartment types are as follows: 0. Extracellular, 1. Nuclear, 2. Membrane, 3. Cytoplasmic - RawMorphologyImages folder: raw morphological TIF images for each FOV   Files - Run5458_{sample_name}_exprMat_file.csv: cell expression matrix. - Run5458_{sample_name}_fov_positions_file.csv: each FOV relative position within global structure. - Run5458_{sample_name}_metadata_file.csv: the metadata of each cell. - Run5458_{sample_name}_tx_file.csv: the transcript file for each target gene and its position. - Run5458_{sample_name}-polygons.csv: the segmentation polygon file.   Citation If you use this dataset for your research, please cite our paper. Ayumu Tsubosaka, Daisuke Komura, Miwako Kakiuchi, Hiroto Katoh, Takumi Onoyama, Asami Yamamoto, Hiroyuki Abe, Yasuyuki Seto, Tetsuo Ushiku, Shumpei Ishikawa, Stomach encyclopedia: Combined single-cell and spatial transcriptomics reveal cell diversity and homeostatic regulation of human stomach, Cell Reports, Volume 42, Issue 10, 2023, 113236, https://doi.org/10.1016/j.celrep.2023.113236.

oai:zenodo.org:8436679 2023-10-12T20:16:33Z user-dryad openaire_data

4.5 CERN.ZENODO oai:zenodo.org:8436679 Pierson, Todd Todd Pierson 0000-0003-3818-5146 Kennesaw State University Kozak, Kenneth Kenneth Kozak University of Minnesota Glenn, Travis Travis Glenn University of Georgia Fitzpatrick, Benjamin Benjamin Fitzpatrick University of Tennessee at Knoxville Zenodo 2023 amphibian Hybridization Introgression Plethodontidae stream capture 2023-10-12 2023-10-12 10.5061/dryad.kwh70rz9t 10.5281/zenodo.8251159 10.5281/zenodo.8251161 Creative Commons Zero v1.0 Universal The origin and eventual loss of biogeographic barriers can create alternating periods of allopatry and secondary contact, facilitating gene flow among distinct metapopulations and generating reticulate evolutionary histories that are not adequately described by a bifurcating evolutionary tree. One such example may exist in the two-lined salamander (Eurycea bislineata) species complex, where discordance among morphological and molecular datasets has created a "vexing taxonomic challenge". Previous phylogeographic analyses of mitochondrial DNA (mtDNA) suggested that the reorganization of Miocene paleodrainages drove vicariance and dispersal, but the inherent limitations of a single-locus dataset precluded the evaluation of subsequent gene flow. Here, we generate triple-enzyme restriction site-associated DNA sequencing (3RAD) data for >100 individuals representing all major mtDNA lineages and use a suite of complementary methods to demonstrate that discordance among earlier datasets is best explained by a reticulate evolutionary history influenced by river drainage reorganization. Systematics of such groups should acknowledge these complex histories and relationships that are not strictly hierarchical. Funding provided by: American Philosophical SocietyCrossref Funder Registry ID: http://dx.doi.org/10.13039/100001461Award Number: Funding provided by: American Museum of Natural HistoryCrossref Funder Registry ID: http://dx.doi.org/10.13039/100005835Award Number: Funding provided by: Society of Systematic BiologistsCrossref Funder Registry ID: http://dx.doi.org/10.13039/100006069Award Number: Funding provided by: University of Tennessee, KnoxvilleCrossref Funder Registry ID: http://dx.doi.org/10.13039/100014455Award Number: Funding provided by: National Science FoundationCrossref Funder Registry ID: http://dx.doi.org/10.13039/100000001Award Number: DGE-1452154

oai:zenodo.org:8433077 2023-10-11T23:00:31Z openaire_data

4.5 CERN.ZENODO oai:zenodo.org:8433077 Jack R. Leary Jack R. Leary 0009-0004-8821-3269 University of Florida Zenodo 2023 scRNA-seq simulation trajectory 2023-10-11 2023-10-11 eng 10.5281/zenodo.8433077 10.5281/zenodo.8433076 v0.1.0 Creative Commons Attribution 4.0 International - Simulated scRNA-seq counts with a trajectory structure - Simulation was performed using the scaffold R package - Based on pancreas reference dataset from Baron et al (2017) - Data are comprised of 3 subjects with 400 cells apiece for a total of 1200 cells - Counts have been processed using a SingleCellExperiment-based workflow (normalization, dimension reduction, clustering) - Ground-truth pseudotime for each cell is stored in the colData slot in the variable cell_time_normed

oai:zenodo.org:8435446 2023-10-12T14:01:11Z openaire_data

4.5 CERN.ZENODO oai:zenodo.org:8435446 Darius Sas Darius Sas 0000-0003-3383-3298 Arcan SRL Alessandro Gilardi Alessandro Gilardi University of Milano-Bicocca Ilaria Pigazzini Ilaria Pigazzini Arcan SRL Francesca Arcelli Fontana Francesca Arcelli Fontana University of Milano-Bicocca Zenodo 2023 Architectural Smells Technical Debt Dependency Graph 2023-10-12 2023-10-12 10.5281/zenodo.8435446 10.5281/zenodo.8435445 2023-09-15 Creative Commons Attribution 4.0 International The dataset and replication package of the study "A continuous open source data collection platform for architectural technical debt assessment".   Abstract Architectural decisions are the most important source of technical debt.  In recent years, researchers spent an increasing amount of effort investigating this specific category of technical debt, with quantitative methods, and in particular static analysis, being the most common approach to investigate such a topic.   However, quantitative studies are susceptible, to varying degrees, to external validity threats, which hinder the generalisation of their findings. In response to this concern, researchers strive to expand the scope of their study by incorporating a larger number of projects into their analyses. This practice is typically executed on a case-by-case basis, necessitating substantial data collection efforts that have to be repeated for each new study.   To address this issue, this paper presents our initial attempt at tackling this problem and enabling researchers to study architectural smells at large scale, a well-known indicator of architectural technical debt. Specifically, we introduce a novel approach to data collection pipeline that leverages Apache Airflow to continuously generate up-to-date, large-scale datasets using Arcan, a tool for architectural smells detection (or any other tool). Finally, we present the publicly-available dataset resulting from the first three months of execution of the pipeline, that includes over 30,000 analysed commits and releases from over 10,000 open source GitHub projects written in 5 different programming languages and amounting to over a billion of lines of code analysed.

oai:zenodo.org:8436892 2023-10-12T22:56:13Z user-dryad openaire_data

4.5 CERN.ZENODO oai:zenodo.org:8436892 Wersebeckmann, Vera Vera Wersebeckmann 0000-0002-1729-4880 Hochschule Geisenheim University Burstedde, Kirsten Kirsten Burstedde Hochschule Geisenheim University Leyer, Ilona Ilona Leyer Hochschule Geisenheim University Zenodo 2023 Agroecology community composition Extensive management disturbance management intensity Strategy type viticulture 2023-10-12 2023-10-12 10.5061/dryad.51c59zwfj Creative Commons Zero v1.0 Universal Questions: Viticulture on steep slopes has shaped landscape and biodiversity in many regions, but insufficient profitability has led to management cessation and shrub encroachment. A solution to maintain cultivation economically viable could be vineyard terracing. We aimed to identify the potential of terracing to enhance plant diversity and habitat heterogeneity in vineyards, analyse effects of management intensity on vineyard vegetation, and assess how plant communities change after vineyard abandonment. Location: Wine-growing region of the Upper Middle Rhine Valley in Hesse (50.042342°N, 7.814533°E) and Rhineland-Palatinate (50.119139°N, 7.719275°E), Germany.            Methods: We recorded vascular plant species and local vineyard parameters in vertically oriented vineyards with vegetated and tilled open inter-rows, in terraced vineyards with tilled terrace inter-rows and extensively managed embankments and in vineyard fallows in a total of 45 study sites. We used plant species richness, Ellenberg indicator values and Grime's strategy types to describe how traits and ecological requirements respond to distinct vineyard management.   Results: Plant species richness and composition were determined by management-derived disturbance intensities. Extensively managed embankments had a distinct plant community, the highest plant species richness, more perennial and indicator species, and lower nitrogen indicator values compared to inter-rows. In contrast, highly disturbed open and terrace inter-rows revealed plant communities associated with annuals and ruderals, but species richness did not differ between terrace inter-rows and embankments. Plant communities of fallows were completely different with lower plant diversity.        Conclusions: Our results highlight the potential of terraced vineyards for plant diversity with nutrient-poor, extensively managed embankments providing conditions that have become rare in modern agricultural systems. A long environmental gradient from terrace inter-rows to embankments created habitat heterogeneity at a narrow space. In contrast, intensive inter-row management in vertically oriented vineyards hampers high plant diversity and abandonment fosters the spread of woody species at the expanse of plant diversity. Funding provided by: Deutsche Bundesstiftung UmweltCrossref Funder Registry ID: http://dx.doi.org/10.13039/100007636Award Number: 34025/01

oai:zenodo.org:8433066 2023-10-11T23:37:02Z user-few-meter openaire_data

4.5 CERN.ZENODO oai:zenodo.org:8433066 Lidia Poniży Lidia Poniży Adam Mickiewicz University, Poznan Silvio Caputo Silvio Caputo School of Architecture and Planning, University of Kent, Canterbury Nevin Cohen Nevin Cohen Graduate School of Public Health and Health Policy, City University of New York, Erica Dorr Erica Dorr AgroParisTech UMR SAD-APT, INRA–AgroParisTech, Université Paris-Saclay Runrid Fox-Kämper Runrid Fox-Kämper ILS Research Institute for Regional and Urban Development, Dortmund Agnès Fargue‑Lelièvre Agnès Fargue‑Lelièvre AgroParisTech UMR SAD-APT, INRA–AgroParisTech, Université Paris-Saclay Konstancja Fedeńczak Konstancja Fedeńczak Adam Mickiewicz University, Poznan Baptiste Grard Baptiste Grard AgroParisTech UMR SAD-APT, INRA–AgroParisTech, Université Paris-Saclay Rositsa Ilieva Rositsa Ilieva Graduate School of Public Health and Health Policy, City University of New York, Liliane Jean‑Soro Liliane Jean‑Soro IRSTV-FR CNRS 2488, Ecole Centrale de Nantes Victoria Schoen Victoria Schoen School of Architecture and Planning, University of Kent, Canterbury Kathrin Specht Kathrin Specht ILS Research Institute for Regional and Urban Development, Dortmund Zenodo 2023 2023-10-11 2023-10-11 10.5281/zenodo.8433066 10.5281/zenodo.8433065 1.00 Creative Commons Attribution 4.0 International Data collected in the FEW-meter project for the growing season 2020 from all case studies. The state as of July 07, 2020.

oai:zenodo.org:8437533 2023-10-13T05:47:02Z openaire_data

4.5 CERN.ZENODO oai:zenodo.org:8437533 Borzi Borzi University of Florida Zenodo 2023 2023-10-13 2023-10-13 10.5281/zenodo.8437533 10.5281/zenodo.8437532 Creative Commons Attribution 4.0 International This data set contains ride check data for Route 1 from January to March, 2023. The ride check data set contains fields for Stop ID, Stop Name, Stop Seq ID, Day of Week, Date, Arrive, Passenger On, Passenger Off, Passenger Load, Passenger Miles, Interstop Distance, Bus, Lat., Long. The data set was given by request from the Regional Transit System of Gainesville, Florida.

oai:zenodo.org:8435949 2023-10-12T15:48:09Z openaire_data

4.5 CERN.ZENODO oai:zenodo.org:8435949 Khamlichi, Abderrahim Abderrahim Khamlichi 0000-0001-7738-3706 Zenodo 2023 Measuring cables, high-voltage dividers, highvoltage measurement techniques, modelling 2023-10-12 2023-10-12 10.5281/zenodo.8435949 10.5281/zenodo.8435948 Creative Commons Attribution 4.0 International Dataset for publication named: "Effects of coaxial cables on high-voltage lightning impulse measured parameters: A comparative between measurements and simulations".

oai:zenodo.org:8434568 2023-10-12T09:57:34Z openaire_data

4.5 CERN.ZENODO oai:zenodo.org:8434568 Freund, Robert Robert Freund 0009-0007-8401-2322 Universität Innsbruck Marciniak, Christian D. Christian D. Marciniak 0000-0001-8401-3981 Universität Innsbruck Monz, Thomas B. Thomas B. Monz 0000-0001-7410-4804 Universität Innsbruck Zenodo 2023 Raw data 2023-10-12 2023-10-12 10.5281/zenodo.8434568 10.5281/zenodo.8434567 v1, original upload Creative Commons Attribution 4.0 International Raw data used to create plots accompanying the publication. Includes time traces from mixed-domain oscilloscope for COSH analysis as well as pre-processed data directly from commercial phase noise analyzer. Includes README.txt for notes on format and processing.

oai:zenodo.org:8435468 2023-10-12T13:11:12Z openaire_data

4.5 CERN.ZENODO oai:zenodo.org:8435468 Zerbe, Oliver Oliver Zerbe Univerity of Zurich Zenodo 2023 Cucuzza, Stefano Stefano Cucuzza 0000-0002-5655-6505 Novartis 2023-10-12 2023-10-12 10.5281/zenodo.8435468 10.5281/zenodo.8435467 Creative Commons Attribution 4.0 International The dataset contains all the experimental data and information used to refine the A4M4C dArmRP in the free and (KR)4 bound state from pseudocontact shifts. Individual modules are restraints during refinement. Swiss National Science Foundation 122686 Structure-based design of Armadillo Repeat Proteins as a modular recognition system for the sequence-specific binding of peptides

oai:zenodo.org:8435957 2023-10-12T15:43:16Z openaire_data

4.5 CERN.ZENODO oai:zenodo.org:8435957 Hällström, Jari Jari Hällström VTT Technical Research Centre of Finland Elg, Alf-Peter Alf-Peter Elg RISE, Sweden Nieminen, Tatu Tatu Nieminen RISE, Sweden Havunen, Jussi Jussi Havunen VTT, Finland Zhao, Wei Wei Zhao VSL, Netherlands Splinter, Imke Imke Splinter VSL, Netherlands Rietveld, Gert Gert Rietveld VSL, Netherlands Kamphuis, Geert Geert Kamphuis TU Delft, Netherlands Termorshuizen, Wim Wim Termorshuizen TU Delft, Netherlands van Nes, Paul Paul van Nes TU Delft, Netherlands Lahti, Kari Kari Lahti TAU, Finland Kujda, Mateusz Mateusz Kujda Haefely, Switzerland Passon, Stephan Stephan Passon PTB, Germany Merev, Ahmet Ahmet Merev TUBITAK, Türkiye Li, Chuansheng Chuansheng Li NIM, China Zenodo 2023 2023-10-12 2023-10-12 10.5281/zenodo.8435957 10.5281/zenodo.8435956 Creative Commons Attribution 4.0 International Dataset for publication Linearity Extension of UHV Class Lightning Impulse Dividers up to 3000 kV by Hällström, Jari; Elg, Alf-Peter; Nieminen, Tatu; Havunen, Jussi; Zhao, Wei; Splinter, Imke; Rietveld, Gert; Kamphuis, Geert; Termorshuizen, Wim; van Nes, Paul; Lahti, Kari; Kujda, Mateusz; Passon, Stephan; Merev, Ahmet; Li, Chuansheng; https://doi.org/10.5281/zenodo.8208382   "This project 19ENG02 FutureEnergy has received funding from the EMPIR programme co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation programme"

oai:zenodo.org:8433460 2023-10-12T04:37:18Z openaire_data

4.5 CERN.ZENODO oai:zenodo.org:8433460 Jannik Haas Jannik Haas University of Canterbury Zenodo 2023 energy storage; strategic reserves; energy security; fully renewable systems; energy scarcity; green hydrogen exports. 2023-10-12 2023-10-12 10.5281/zenodo.8433460 10.5281/zenodo.8433459 0.1 Creative Commons Attribution 4.0 International This file contains the main outputs of the preprint: "Green hydrogen exports in New Zealand and Chile can improve electricity supply security if configured as local energy insurance"

oai:zenodo.org:8435285 2023-10-12T12:42:17Z openaire_data

4.5 CERN.ZENODO oai:zenodo.org:8435285 Giacomo Di Foggia Giacomo Di Foggia Zenodo 2023 2023-10-12 2023-10-12 10.5281/zenodo.8435285 10.5281/zenodo.8435284 Creative Commons Attribution 4.0 International Dataset containing information regarding variables used to analyse some drivers of meeting 2030 renewable energy targets

oai:zenodo.org:8436923 2023-10-12T23:37:22Z openaire_data

4.5 CERN.ZENODO oai:zenodo.org:8436923 Fernando, Roshen Roshen Fernando 0000-0001-5245-6702 The Australian National University Zenodo 2023 Climate Change Extreme Events Physical Climate Risks Machine Learning 2023-10-12 2023-10-12 eng 10.5281/zenodo.8436923 10.5281/zenodo.8436922 Creative Commons Attribution 4.0 International Research Paper: Global Economic Impacts of the Physical Climate Risks on Agriculture and Energy This data file consists of projected agriculture productivity variations under three Shared Socioeconomic Pathways (SSP 1-2.6, 2-4.5, and 5-8.5) from 2021 to 2050. The projections are aggregated for seven countries (Australia, Canada, China, India, Japan, Russia, and the United States) and four regions (Europe, Oil-exporting Developing Countries, the Rest of the OECD Countries, and the Rest of the World).

oai:zenodo.org:13524198 2024-08-29T18:29:26Z openaire_data

4.5 CERN.ZENODO oai:zenodo.org:13524198 10.51473/rcmos.v1i1.2024.577 Raposa, Natanael Falquetto de Sá Natanael Falquetto de Sá Raposa Araujo, Thiago Vinicius Thiago Vinicius Araujo Canhim, Ana Clara Kramer Ana Clara Kramer Canhim Almeida, Rodrigo Mendes Rodrigo Mendes Almeida Mendes, Marcos Castro Marcos Castro Mendes Simmer, Luana de Melo Luana de Melo Simmer Malavoti, Nancy Faber Nancy Faber Malavoti Zenodo 2024 2024-08-28 2024-08-29 2024-08-29 10.51473/rcmos.v1i1.2024.577 10.51473/rcmos.v1i1.2024.577 Creative Commons Attribution 4.0 International

oai:zenodo.org:17645504 2025-11-19T04:13:35Z openaire_data

4.5 CERN.ZENODO oai:zenodo.org:17645504 Ramirez, Alberto Alberto Ramirez Zenodo 2025 2025-11-19 2025-11-19 10.5281/zenodo.17645504 10.5281/zenodo.17645503 Creative Commons Attribution 4.0 International Apache License 2.0 Hipotesis creada en base IA. Grook.

oai:zenodo.org:18466298 2026-02-03T09:07:25Z openaire_data

4.5 CERN.ZENODO oai:zenodo.org:18466298 Eman Abdulaziz Balbaid Eman Abdulaziz Balbaid 1. Family Medicine Consultant, Jeddah university medical Center, Jeddah University, Jeddah, KSA . Hanyah Abdulhadi Alkhify Hanyah Abdulhadi Alkhify 2. Ob/Gyn Consultant - Obsetric And Gynecology head of department, althaghor hodpital, Jeddah, KSA. Yasmeen Hassan Alshehri Yasmeen Hassan Alshehri 3. Senior Registrar Family Medicine, alfisaliah phc, king fahad hospital , Jeddah, KSA. Mohannad Adnan Munshi Mohannad Adnan Munshi 4. Urology Resident ,Saudi Board, Al Noor specialist hospital, Makkah, . Hoda Jehad Abousada Hoda Jehad Abousada 5. Obstetric and Gynaecology, KFSHRC, KSA. Abdulrahman Mohammed Alkathiry Abdulrahman Mohammed Alkathiry 6 .MBBS, Medical Doctor, General Directorate of Prisons' Health,Al-Ahsa,KSA. Sultan Yahya Alfifi Sultan Yahya Alfifi 7 .MBBS, Medical Doctor, Al rasras PHCC, Aseer, KSA. Nasir Hashim Alshareef , Fahad Khalid Alenzi , Nawaf Khaled Alqahtani , Yahya Nasser Hakami , Nasir Hashim Alshareef , Fahad Khalid Alenzi , Nawaf Khaled Alqahtani , Yahya Nasser Hakami , 8. MBBS, Medical Intern, University of Tabuk, Tabuk, KSA. Saeed Abdullah Alghamd Saeed Abdullah Alghamd 9 .MBBS, Medical Intern, Al Baha university, Albaha, KSA. Saleh Hakam Syeed , Yazeed Mohammed Hafizallah Saleh Hakam Syeed , Yazeed Mohammed Hafizallah 10. MBBS, Medical Intern, Alrayan national colleges, Madinah , KSA. Abdulaziz Yahya Abdulaziz Yahya 11 .MBBS, Medical Intern, ISNC, Jeddah,KSA. Zenodo 2026 Urinary Incontinence Involuntary Urination Risk Factors Determinants 2026-02-03 2026-02-03 10.21474/IJAR01/22578 2320-5407 Creative Commons Attribution 4.0 International Urinary Incontinence affects people of all ages and genders, its frequency increases with age, and a number of physiological, behavioral, and demographic issues can greatly increase its prevalence. Urinary incontinence is still disregarded despite its great frequency and pervasive impact on quality of life because of cultural and social stigma and the belief that it is an inevitable part of aging. This present study will evaluate the scenario using a systematic review research design. The findings of the study may be useful of the future researchers and policy makers in terms of taking necessary steps.  

oai:zenodo.org:1421179 2024-08-02T03:59:45Z openaire_data

4.5 CERN.ZENODO oai:zenodo.org:1421179 Elliott, Kathryn Kathryn Elliott Zenodo 2018 2018-09-18 2024-08-02 10.5281/zenodo.1421179 10.5281/zenodo.1421178 Transcribed interviews with developers for EngD Research. Access for supervisors and examiners

oai:zenodo.org:15665094 2025-06-14T20:11:54Z openaire_data

4.5 CERN.ZENODO oai:zenodo.org:15665094 10.51473/rcmos.v1i1.2025.1077 Reis Curvello, Maria Clara Maria Clara Reis Curvello Bastos Dias Marinho, Bruna Marcelle Bruna Marcelle Bastos Dias Marinho Resgala Júnior, Renato Marcelo Renato Marcelo Resgala Júnior Zenodo 2025 2025-06-14 2025-06-14 2025-06-14 10.51473/rcmos.v1i1.2025.1077 10.51473/rcmos.v1i1.2025.1077 Creative Commons Attribution 4.0 International

oai:zenodo.org:17376321 2025-10-17T09:05:53Z openaire_data

4.5 CERN.ZENODO oai:zenodo.org:17376321 Hendrawan, Susanto Hendrawan, Susanto Zenodo 2025 2025-10-17 2025-10-17 10.5281/zenodo.17376321 10.5281/zenodo.17376320 Creative Commons Attribution 4.0 International

oai:zenodo.org:18295589 2026-01-19T03:23:05Z openaire_data

4.5 CERN.ZENODO oai:zenodo.org:18295589 Marchesi, Eduardo Eduardo Marchesi 0000-0002-7091-580X Universidad de la República - Facultad de Agronomía Mailhos, Ary Ary Mailhos 0000-0001-9991-1186 Universidad de la República - Facultad de Agronomía Bonifacino, Jose Mauricio Jose Mauricio Bonifacino 0000-0003-0377-3853 Universidad de la República - Facultad de Agronomía Zenodo 2026 Flora Uruguay Taxonomía Colecciones 2026-01-19 2026-01-19 10.5281/zenodo.18295589 10.5281/zenodo.18295588 Creative Commons Attribution 4.0 International Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:52 .eJyNjVtvgkAUhP_LeSYNu4opJD5olK1YbyS7CC9mYVckHMFwKajxv1fb96aTTDLJTL65Q621Asd8I4RYFqHmgJCR9fS7AReZanCoAXknq7QG5_5cN-BAedGFzCp9ULKRYMBZN_IVt5U-Zv1rILOfLskaDQ8D6qQqEQ_Z8wlchm1IexIxcQyp3Somhsq1iQownxUuifaeJdgJ4zxCxdblpA8HPoqpYIrtxO4Wc7vVM34NUHxs5k0xeWkbmGmbBH4uTpoTDKnPRW4zXnjrhA6bzX7V7_woExyX0vU6LhZ9HKjPdYFL_-Yhp2L6y9leq3IR6LNbr5g1SnLCdYFfe5N3at7RzZx4Uf9fDv-b043H8PgG0wR-2Q.ad-OGg.W3fCn-Cwca0548eu6TCSBUAdb4U