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41 results for “Source Localization”
Dataset used in the publication entitled "Decomposition Problem in Process of Selective Identification and Localization of Voltage Fluctuation Sources in Power Grids" presented at 2022 20th International Conference on Harmonics and Quality of Power (ICHQP)
<p>Dataset obtained from experimental research carried out in a real power grid. Based on the dataset, the problem of decomposition in identification of sources of voltage fluctuations has been presented in the publication: Kuwałek P., Decomposition Problem in Process of Selective Identification and Localization of Voltage Fluctuation Sources in Power Grids, <em>Proceedings of the 20th International Conference on Harmonics and Quality of Power</em>, IEEE , art. no. 43, 2022, Italy, Naples. The description of the power grid model is presented in this publication. The research results are part of the work under the project entitled "Voltage fluctuation diagnostic focused on identification and localization disturbing loads in power grids" funded by the National Science Centre, Poland - 2021/41/N/ST7/00397.</p>
Table S3. List of Locustella sound recordings included in bioacoustic analysis surrounding description of the Taliabu Grasshopper-Warbler. The table provides information on sound library sources and sampling localities of recordings as well as raw data on all 11 bioacoustic parameters measured (see Supplementary Materials section SM3 for more details on parameters). Recordings whose source is labeled as "private recording" were obtained by colleagues and are available upon demand from the corresponding author.
<p>supplement to Rheindt, Frank E., Prawiradilaga, Dewi M., Ashari, Hidayat, Suparno, Gwee, Chyi Yin, Lee, Geraldine W. X., Wu, Meng Yue, Ng, Nathaniel S. R. (2020): A lost world in Wallacea: Description of a montane archipelagic avifauna. Science 367: 167-170, DOI: 10.1126/science.aax2146</p>
Dataset for sound source localization with 101 Blinky sound-to-light conversion sensors
<p>Blinkies are sound-to-light conversion devices that can be used to monitor the sound level over large areas. The data from the sensors is harvested using a video camera. This dataset contains seven videos that were recorded in the gymnastical hall of Tokyo Metropolitan University, Hino Campus on July 3rd 2018. In the video, 101 Blinkies are spread on the ground of the gymnastic hall. A bluetooth speaker mounted on a remote controlled car runs between the Blinkies, causing them to change intensity. The file `pyramic_json` is a JSON format file containing all the meta-data necessary such as sensor locations, room dimensions, and segmentation information.</p> <p>This dataset was used to demonstrate sound source localization in the paper "Blinkies: Open source sound-to-light conversion sensors for large-scale acoustic sensing and applications" by Robin Scheibler and Nobutaka Ono (to appear).</p>
A dataset of regional operational programmes (ROP) and rural development program (PROW) expenditures and socio-economic features in 2007-2013, Poland (source: Bank of Local Data)
<p>Dataset prepared on the bases of Polish Central Statistical Office (Statistics Poland) Bank of Local Data system https://bdl.stat.gov.pl/BDL/dane/podgrup/tablica [access: 1.07.2018]. The data set the expenditure of funds for individual priority axes in the programmes of both policies in the 2007-2013 programming period and the change in socio-economic features at the local (<em>poviat</em>, NUTS4) level. The Pearson correlation coefficients are used to assess the relationship between the level of expenditure for RDP and ROP <em>per capita</em> and selected indicators describing the level of economic, social and demographic development of local government units. The results of the analysis (the article <strong>Regional approach to rural development? A case of regional and rural programs 2007-2015 in Poland) </strong>will consist of tables, texts and of numerical data. Article with data is available here: OI: 10.5604/01.3001.0012.2934 GICID: 01.3001.0012.2934 Available language versions: en. <strong>Issue: </strong>Annals PAAAE 2018; XX (4): 22-28, https://rnseria.com/resources/html/article/details?id=176837</p>
Text-fig. 1. Geographic situation of the source area of the Glenarea cretacea holotype. a, Řetenice locality of A. E. Reuss, b, Teplice-Stínadla locality, c, Teplice-Písečný vrch locality. For detail, see 'type locality of Glenarea cretacea' chapter. in The Scleractinian Coral Genus Glenarea (Bohemian Cretaceous Basin)
Text-fig. 1. Geographic situation of the source area of the Glenarea cretacea holotype. a, Řetenice locality of A. E. Reuss, b, Teplice-Stínadla locality, c, Teplice-Písečný vrch locality. For detail, see 'type locality of Glenarea cretacea' chapter.
Text-fig. 4. Bivariate plots of the upper teeth (M2 – P3) of small to medium sized Miocene hyaenodonts from African localities. Data source: Pilgrim (1912, 1914, 1932), Colbert (1935), Savage (1965), Barry (1988), Morales et al. (1998a, 2007), Holroyd (1999), Rasmussen et al. (2009), Borths et al. (2016), Borths and Seiffert (2017). in New Hyaenodonts (Ferae, Mammalia) From The Early Miocene Of Napak (Uganda), Koru (Kenya) And Grillental (Namibia)
Text-fig. 4. Bivariate plots of the upper teeth (M2 – P3) of small to medium sized Miocene hyaenodonts from African localities. Data source: Pilgrim (1912, 1914, 1932), Colbert (1935), Savage (1965), Barry (1988), Morales et al. (1998a, 2007), Holroyd (1999), Rasmussen et al. (2009), Borths et al. (2016), Borths and Seiffert (2017).
Text-fig. 3. Bivariate plots of the lower teeth (m3 – m2) of small to medium sized Miocene hyaenodonts from African localities. Data source: Pilgrim (1912, 1932), Colbert (1935), Savage (1965), Barry (1988), Morales et al. (1998a, 2003, 2007, 2008, 2010), Holroyd (1999), Morlo et al. (2007), Rasmussen et al. (2009), Borths et al. (2016), Borths and Seiffert (2017). in New Hyaenodonts (Ferae, Mammalia) From The Early Miocene Of Napak (Uganda), Koru (Kenya) And Grillental (Namibia)
Text-fig. 3. Bivariate plots of the lower teeth (m3 – m2) of small to medium sized Miocene hyaenodonts from African localities. Data source: Pilgrim (1912, 1932), Colbert (1935), Savage (1965), Barry (1988), Morales et al. (1998a, 2003, 2007, 2008, 2010), Holroyd (1999), Morlo et al. (2007), Rasmussen et al. (2009), Borths et al. (2016), Borths and Seiffert (2017).
Text-fig. 7. Bivariate plots of the upper teeth (M2, M1, P4) and lower teeth (m3, m2, p4) of large Miocene hyaenodonts from Eurasian and African localities. Data source: Stromer (1926), Savage (1965), Barry (1988), Ginsburg (1999), Holroyd (1999), Morales et al. (2003, 2007, 2008, 2010), Morlo et al. (2007), Rasmussen and Gutiérrez (2009), Borths et al. (2016). in New Hyaenodonts (Ferae, Mammalia) From The Early Miocene Of Napak (Uganda), Koru (Kenya) And Grillental (Namibia)
Text-fig. 7. Bivariate plots of the upper teeth (M2, M1, P4) and lower teeth (m3, m2, p4) of large Miocene hyaenodonts from Eurasian and African localities. Data source: Stromer (1926), Savage (1965), Barry (1988), Ginsburg (1999), Holroyd (1999), Morales et al. (2003, 2007, 2008, 2010), Morlo et al. (2007), Rasmussen and Gutiérrez (2009), Borths et al. (2016).
Where should they come from? Where should they go? Several measures of seed source locality fail to predict plant establishment in early prairie restorations
<ol> <li>During the "decade on restoration," we must understand how to reliably re-establish native plant populations. When establishing populations through seed addition, practitioners prioritize obtaining seed from locations geographically near the restoration site (i.e., "local seed sourcing"). They are assumed to be under similar environmental conditions to the restoration site and should establish more robust plant populations and preserve local biotic interactions than seeds sourced from further away. However, this assumption remains virtually untested in realistic restoration settings and the importance of seed sourcing, relative to other factors such as seeding rate and management regimes, is unclear.</li> <li>To determine if seed source impacts plant establishment, abundance, and phenology, we developed a partnership between university researchers and a native seed producer that kept records on where their seed was sourced from and where it was planted. At each site, we recorded the abundance and phenological stage of five commonly used tallgrass prairie restoration species seeded at 24 sites undergoing restoration across Michigan. We considered two measures of seed source locality: geographic distance (seeds were sourced from locations 6–750km away from their respective restoration sites) and climate distance. We also obtained data on the seeding rate and post-seeding management efforts at each site.</li> <li>We found that no measure of seed source locality predicted the likelihood of plant establishment or abundance at restoration sites. However, sites sown with seed from further away, or from cooler and wetter climates, had a greater proportion of flowering individuals earlier in the season. Finally, sites with higher seeding rates had greater plant abundance, and post-seeding management of the restoration site increased the likelihood a species would establish by 36%.</li> <li>Overall, these results suggest that seed sourcing did not impact plant establishment or abundance in our system. However, using fewer local seed sources can alter flowering phenology.</li> <li>Our results suggest that tallgrass prairie restoration efforts should prioritize higher seeding rates, post-seeding management, and might expand the region seed sources are considered "local", though this could impact flowering phenology. Future research leveraging native seed producer records can help answer critical questions about restoration seed sourcing.</li> </ol>
Where should they come from? Where should they go? Several measures of seed source locality fail to predict plant establishment in early prairie restorations
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data postprocessing for the EMEP local city source contribution
<p>- First edition by A. Valdebenito (Norwegian Meteorological Institute)</p> <p>similar codes were used in the country source contribution calculations: https://doi.org/10.5194/gmd-13-1787-2020</p> <p>-updated for the analysis and the publication by M. Pommier</p> <p> </p>
Benchmark data for source localization validation
<p>Template data related to the publication :<br> La Fisca et al., A Versatile Validation Framework for ERP and Oscillatory Source Reconstruction Using FieldTrip, 2021</p> <p>Funded by: F.N.R.S - F.R.I.A, Belgium</p>
coverage and density of eeg source localization
<p>The file contains the lead field matrices of atlas and subject specific head models and coordinate files of HydroCel EEG nets. </p>
Kuhlia rupestris, juvenile. © E. Vigneux. Source: Keith et al., 1999. in Biology of jungle perch, Kuhlia rupestris, identification of threats and knowledge gaps to improve local and global management
Kuhlia rupestris, juvenile. © E. Vigneux. Source: Keith et al., 1999.
Data from: Orchid trade at the source: Epiphytic species with conspicuous flowers in low-elevation forests are more locally collected in a Philippine key biodiversity area
<p>Orchids are the most heavily traded plant group globally, putting pressure on wild populations in many source countries like the Philippines. Despite its rich orchid diversity, there remains a notable gap in understanding the factors driving orchid trade within the country. To address this knowledge gap and support orchid conservation efforts, we utilized a five-year orchid diversity dataset extensively collected through floristic field and village garden surveys in one of the largest key biodiversity areas in the southern Philippines. We employed a trait-based approach to investigate ecological drivers of local orchid collection within this source area. Our results show that around 36% of local orchid diversity have predicted collection risks of ≥50%. Notably, locally collected orchid species exhibited multiple, large, and conspicuously colored flowers that are found in low-elevation forests and higher up in forest stratum. Elevational distribution and flower size emerged as the strongest predictors, potentially influencing collection preferences. Our analysis of predicted collection risks underscores the vulnerability of both threatened and non-threatened orchid species to local collection pressures. Moreover, we highlight the practical utility of our trait-based approach in predicting risks and informing management strategies for local orchid conservation. This research marks a significant step towards identifying ecological drivers influencing orchid trade at its source, providing insights that can inform targeted conservation strategies across many key biodiversity areas for this highly diverse, charismatic, and threatened plant family.</p>
Supplementary material for "Rare earth elements and yttrium (REY) in fjord waters: Comparison between seawater in the Trondheimfjord (Norway), its local riverine REY sources and the North Atlantic"
<p><span>Dataset presented and discussed in the research article “</span><span>Rare earth elements and yttrium (REY) in fjord waters: Comparison between seawater in the Trondheimfjord (Norway), its local riverine REY sources and the North Atlantic<span><span>” by Zocher et al. The article is published in <em>Geochimica et Cosmochimica Acta</em> and was prepared by the following authors: Anna-Lena Zocher (1), Tomasz Maciej Ciesielski (2,3), Stefania Piarulli (4), Julia Farkas (4) and Michael Bau (1). </span></span></span></p> <p> </p> <p>(1) School of Science, Constructor University, Bremen, Germany</p> <p>(2) Department of Biology, Norwegian University of Science and Technology, Trondheim, Norway</p> <p>(3) Department of Arctic Technology, The University Centre in Svalbard (UNIS), Longyearbyen, Norway</p> <p>(4) SINTEF Ocean, Trondheim, Norway</p> <p> </p> <p><span><span>Table A1 includes the general information and data for all stations, Table A2 the more detailed salinity data for stations Nidelva A, B and C. </span></span></p> <p> </p> <p><span><span>Reference research article:</span></span></p> <p><span><span> </span></span></p> <p><span><span>Zocher, A.-L., Ciesielski, T. M., Piarulli, S., Farkas, J., & Bau, M. (2024). </span></span><span><span>Rare earth elements and yttrium (REY) in fjord waters: Comparison between seawater in the Trondheimfjord (Norway), its local riverine REY sources and the North Atlantic. Geochimica et Cosmochimica Acta.</span></span></p>
Data and codes for the work: "Quasiparticle dynamics in a superconducting qubit irradiated by a localized infrared source"
<p>All data and codes used for the work can be found here. </p> <p> </p> <ul> <li>For figures 2 and SM6, one must unzip the files and change the directory in the codes accordingly.</li> <li>For figures 3, SM7 and SM8, one should use the file "Figure3_data.h5", already containing the analysis of the raw data of the pulsed experiment, which is also contained inside the zip file.</li> <li>Comsol 6.2 was used to create the simulation file for the sample temperature.</li> </ul>
Sound source localization with varying amount of visual information in virtual reality [dataset]
<p>This is the dataset that belongs to the publication "Sound source localization with varying amount of visual information in virtual reality".</p> <p>-The file "AVIL_lab.fbx" contains the visual model of the loudspeaker environment that was used throughout the experiment.</p> <p>-The file "localization_task_instruction_final.docx" contains the information sheet that was handed to the subjects before the experiment.</p> <p>-The file "localizationData_public.xlsx" contains the responses from the subjects (column B). The responses in azimuth and elevation (columns F&G) are corrected for the pointing bias (columns H&I).</p>
DATASET - On the Investigation of Empirical Contradictions - Aggregated Results of Local Studies on Readability and Comprehensibility of Source Code
<p>Study package containing raw and analyzed data from the work entitled "On the Investigation of Empirical Contradictions - Aggregated Results of Local Studies on Readability and Comprehensibility of Source Code".</p> <p>The package comprises: 1) a summary of the information extracted from all papers mentioned in the Background; 2) the source code snippets used in the three studies; 3) the consent and characterization forms distributed to the participants; 4) the raw data, the aggregated data and other material generated with the collected data.</p>
Data from: Orchid trade at the source: Epiphytic species with conspicuous flowers in low-elevation forests are more locally collected in a Philippine key biodiversity area
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