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35 results for “roaming”
Data set and code supporting Marshall et al. 2020. No room to roam: King Cobras reduce movement in agriculture.
<p>Data and code used in the publication:</p> <p>Marshall, B.M., Crane, M., Silva, I., Strine, C.T., Jones, M.D., Hodges, C.W., Suwanwaree, P., Artchawakom, T., Waengsothorn, S., Goode, M. (2020). No room to roam: King Cobras reduce movement in agriculture. <em>Mov Ecol</em> <strong>8, </strong>33 (2020). https://doi.org/10.1186/s40462-020-00219-5</p> <p>Marshall, B.M., Crane, M., Silva, I., Strine, C.T., Jones, M.D., Hodges, C.W., Suwanwaree, P., Artchawakom, T., Waengsothorn, S., Goode, M. (2020). No room to roam: King Cobras reduce movement in agriculture. bioRxiv 2020.03.24.006676; doi: https://doi.org/10.1101/2020.03.24.006676</p> <p>Including: telemetry data, habitat shapefile and derived rasters, ISSF and JAGS model specification and results, code to reproduce analysis and generate figures. </p>
Seaglider (SG537) dataset collected during the ROAM-MIZ field campaign in the Southern Ocean
<p>This dataset is a part of the Robotic Observations And Modelling in the Marginal Ice Zone (ROAM-MIZ, <a href="http://www.roammiz.com">www.roammiz.com</a>) project, and contains the temperature and salinity profiles from a Seaglider (SG537), which was deployed at the Prime Meridian in the northeastern Weddell Sea (0.00W and 55S) from 18th October 2019 to 18th February 2020 and obtained a total of five repeated crossings of the Southern Boundary.</p>
FREE-ROAMING DOGS DETECTED USING GOOGLE STREET VIEW
<p>Datasets to count free-roaming dogs using Google Street View, and compare with population of free-roaming dog from surveys in Arequipa, Peru.</p>
Measurement Data: Latencies and Traffic Traces in Global Mobile Roaming with Regional Breakouts
<h1>A Shortcut through the IPX: Measuring Latencies in Global Mobile Roaming with Regional Breakouts</h1> <p>This repository contains a description and sample data for the Paper<em> A Shortcut through the IPX: Measuring Latencies in Global Mobile Roaming with Regional Breakouts</em> published at the Network Traffic Measurement and Analysis (TMA) Conference 2024.<br>In the provided README.md file, we present example snippets of the datasets, including an explanation of all contained fields.</p> <p>We cover the three main datasets covered in the related paper:<br>- DT1: User plane traces captured at multiple GGSN/PGW instances of a globaly operating MVNO<br>- DT2: GTP echo round trip times between visited network SGSN/SGWs and home network GGSN/PGWs<br>- DT3: IPX routing information, as extracted from BGP routing tables</p> <p>For legal reasons, we are not able to publish the secondary datasets (DT4, DT5) covered in the manuscript.</p> <p>Finally, for privacy, security, and political reasons, certain fields in each of the datasets have been anonymized. These are indicated by the `_anonymized` prefix.<br>In case of IP addresses, the anonymization ist consistent across datasets, meaning that similar IPs have been anonymized such that their values are still identical after anonymization.</p> <h3>Contact</h3> <p>For questions regarding the dataset, contact Viktoria Vomhoff (viktoria.vomhoff@uni-wuerzburg.de)</p> <p> </p>
Fig. 1 in Genetic characterization of Strongyloides fuelleborni infecting free-roaming African vervets (Chlorocebus aethiops sabaeus) on the Caribbean island of St. Kitts
Fig. 1. Schematic of the Strongyloides genotyping scheme referenced here Graphical representation a Strongyloides sp. genotyping scheme after the description of Barratt et al. (Barratt et al., 2019a; Barratt and Sapp, 2020). This scheme was expanded here to include haplotypes XVI and XVII of 18S HVR-I (indicated by a star) identified here from feral vervet monkeys living on the island of St Kitts (GenBank accessions in Table 3). Haplotype names shown in blue belong to S. fuelleborni and those shown in black belong to other Strongyloides species in accordance with this typing scheme. Haplotype sequences are provided in File S1. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 3 in Genetic characterization of Strongyloides fuelleborni infecting free-roaming African vervets (Chlorocebus aethiops sabaeus) on the Caribbean island of St. Kitts
Fig. 3. Neighbor-Joining tree generated from St Kitts S. fuelleborni genotypes and other Strongyloides types This tree was generated by applying the Neighbor-Joining clustering method (Saitou and Nei, 1987) to a pairwise distance matrix computed using Barratt's heuristic from 285 Strongyloides genotypes, including 48 from St. Kitts vervets. Branches are colored according to their cluster membership (A through H) as defined by Ko et al. (2022). We also introduce S. fuelleborni type H (light pink) from St. Kitts vervets, noting that an H-type isolate was found previously in a human from Guinea-Bissau (pink triangle). Divergent S. fuelleborni types described by Ko et al. (2022) were also analyzed (bright green branches without a cluster letter) from Siamang, Douc, and Francois' langur housed in zoological parks in Japan. A version of this same tree with isolate names shown on the branch tips is provided in File S3; Tree B. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 2 in Genetic characterization of Strongyloides fuelleborni infecting free-roaming African vervets (Chlorocebus aethiops sabaeus) on the Caribbean island of St. Kitts
Fig. 2. Hierarchical tree of clustered distances generated from genotyped S. fuelleborni from St Kitts vervets and other Strongyloides sp. genotypes This unrooted tree was generated using Wards method (Ward, 1963) to cluster a pairwise distance matrix computed from 285 Strongyloides genotypes, including 48 from St. Kitts vervets. Branches are colored according to their cluster membership (A through H). We introduce S. fuelleborni type H (pink star) identified from St. Kitts vervets, noting that an H-type isolate was found previously in a human from Guinea-Bissau. Colored peripheral bars reflect the host species from which isolates were derived; dog (Do), human (Hu), chimpanzee (Ch), lorises (Lo), long-tailed macaques (Lt), pig-tailed macaques (Pt), Japanese macaques (Jm), proboscis monkeys (Pr), silvered leaf monkeys (Sl), orangutans (Or), Rhesus macaques (Rh), St Kitts (white star) vervets (Ve), gorilla (Go), and baboon (Ba). Divergent S. fuelleborni types described by Ko et al. (2023) were also clustered (green circle and branches) from Siamang (Si), Douc (Do), and Francois' langur (Fr) housed in zoological parks in Japan. The black bar and black star indicate S. stercoralis reference strain PV001. Strongyloides stercoralis types A and B, are shown with red and blue branches respectively. The loris clade is shown in light blue. The S. stercoralis and loris clades clustered here for comparison are shaded in a gray background. A version of this same tree with isolate names shown on the branch tips is provided in File S3; Tree A. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Seaglider (SG640) dataset collected during the ROAM-MIZ field campaign in the Southern Ocean
<p>This dataset is a part of the Robotic Observations And Modelling in the Marginal Ice Zone (ROAM-MIZ, <a href="http://www.roammiz.com">www.roammiz.com</a>) project and contains the temperature, salinity, dissolved oxygen, fluorescence, and backscatter profiles from a Seaglider (SG640), which was deployed at the Prime Meridian in the northeastern Weddell Sea (0.02W and 55.01S) from 20th October 2019 to 18th February 2020.</p> <p>The raw data has been processed to L1 by applying the Kongsberg Seaglider Basestation code following the methods of Garau et al. (2011).</p> <p>Garau, B., S. Ruiz, W. G. Zhang, A. Pascual, E. Heslop, J. Kerfoot, and J. Tintoré, 2011: Thermal Lag Correction on Slocum CTD Glider, <em>Data. J. Atmos. Oceanic Technol</em>, 28, 1065–1071. DOI: <a href="https://doi.org/10.1175/JTECH-D-10-05030.1">https://doi.org/10.1175/JTECH-D-10-05030.1</a></p>
Figure 7 in Abnormal morphology in Amblyomma coelebs and Amblyomma cf. oblongoguttatum (Acari: Ixodidae) collected on free-roaming Central American Tapir (Tapirus bairdii) from Nicaragua
Figure 7. Ventral view of Amblyomma cf. oblongoguttatum female with ectromely (arrow) and asymmetry of idiosoma.
Figure 6 in Abnormal morphology in Amblyomma coelebs and Amblyomma cf. oblongoguttatum (Acari: Ixodidae) collected on free-roaming Central American Tapir (Tapirus bairdii) from Nicaragua
Figure 6. Dorsal view of Amblyomma cf. oblongoguttatum female with ectromely and asymmetry of idiosoma.
Attitudes Toward and Impacts of Free-roaming Dogs in Madagascar
<p>Free-roaming domesticated dogs interact with humans and wildlife in ways that can exacerbate or mitigate existing conflict. Dogs are known to predate wildlife as well as domestic livestock which contributes to increasing human-wildlife conflict. However, dogs can also mitigate conflict by protecting livestock from native predators or killing invasive pest species. Because attitudes toward dogs vary greatly, conflict often arises between humans over how to manage free-roaming dogs.</p> <p>We conducted surveys to assess attitudes toward domesticated dogs, behavior of dogs, and impacts on domestic and wild species. Dog owners who accessed Mad Dog Initiative's mobile vaccination clinics between 2014 and 2019 were asked to participate in the survey. Mobile clinic sites were located in communities surrounding Andasibe-Mantadia and Ranomafana National Parks in eastern Madagascar.</p> <p>We found that people were generally favorable toward spay/neuter options. Over 40% of participants reported that their dogs had killed wildlife and livestock predation by dogs was also common. There was high spatial variation in human attitudes, dog behavior, and predation rates.</p>
Lab Study Dataset: FIDO2 Platform and Roaming Authentication on Smartphones
<p>This record contains the <strong>lab study dataset and evaluation R source code</strong> from the paper "FIDO2 the Rescue? Platform vs. Roaming Authentication on Smartphones" by Leon Würsching*, Florentin Putz* <em>(* = equal contribution)</em>, Steffen Haesler, and Matthias Hollick <em> </em>in Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI ’23).</p> <p>Our pseudonymous <strong>dataset</strong> contains 22 variables for each of our 87 participants in our between-groups lab study. The variables consist of usability and acceptance scores, the adoption likelihood for 11 account types, and 9 control variables including the level of privacy concerns and ATI.</p> <p>Our R Markdown <strong>source code</strong> includes the full reproducible code of our study. This code generates all statistical figures from our paper. The code can also be used to reproduce our quantitative results and tables.</p> <p>Please refer to the README.md file and our paper for further details about the dataset and the lab study.</p> <p> </p> <p>This work has been co-funded by the LOEWE initiative (Hesse, Germany) within the emergenCITY center and the Federal Ministry of Education and Research of Germany in the project Open6GHub (grant number: 16KISK014).</p>
Figure 3 in Abnormal morphology in Amblyomma coelebs and Amblyomma cf. oblongoguttatum (Acari: Ixodidae) collected on free-roaming Central American Tapir (Tapirus bairdii) from Nicaragua
Figure 3. Dorsal view of Amblyomma cf. oblongoguttatum female with atrophy on the left 3 (arrow).
Figure 8 in Abnormal morphology in Amblyomma coelebs and Amblyomma cf. oblongoguttatum (Acari: Ixodidae) collected on free-roaming Central American Tapir (Tapirus bairdii) from Nicaragua
Figure 8. Asymmetry of the scutum of Amblyomma cf. oblongoguttatum female.
Figure 4 in Abnormal morphology in Amblyomma coelebs and Amblyomma cf. oblongoguttatum (Acari: Ixodidae) collected on free-roaming Central American Tapir (Tapirus bairdii) from Nicaragua
Figure 4. Ventral view of Amblyomma cf. oblongoguttatum female with atrophy on the left 3 (arrow).
Figure 2 in Abnormal morphology in Amblyomma coelebs and Amblyomma cf. oblongoguttatum (Acari: Ixodidae) collected on free-roaming Central American Tapir (Tapirus bairdii) from Nicaragua
Figure 2. Ventral view of festoon malformation in a Amblyomma coelebs male.
Figure 5 in Abnormal morphology in Amblyomma coelebs and Amblyomma cf. oblongoguttatum (Acari: Ixodidae) collected on free-roaming Central American Tapir (Tapirus bairdii) from Nicaragua
Figure 5. Asymmetry of the scutum of Amblyomma cf. oblongoguttatum female.
Figure 1 in Abnormal morphology in Amblyomma coelebs and Amblyomma cf. oblongoguttatum (Acari: Ixodidae) collected on free-roaming Central American Tapir (Tapirus bairdii) from Nicaragua
Figure 1. Dorsal view of festoon malformation in a Amblyomma coelebs male.
Cognitive Training Delivered Remotely to Individuals With Psychosis (ROAM)
ClinicalTrials.gov study NCT02782442. IPD Sharing: YES. Countries: 1. Publications: 1.
Attitudes Toward and Impacts of Free-roaming Dogs in Madagascar
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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OpenNeuro
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