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525 results for “Stop”
Trellis-forming stems of a tropical liana Condylocarpon guianense (Apocynaceae): a plant-made safety net constructed by simple "start-stop" development
<p>Data supporting article describing mechanical and structural organisation of a climin g plant trellis system sin the tropical rainforest of French Guiana</p> <p>Tropical vines and lianas have evolved mechanisms to avoid mechanical damage during their climbing life histories. We explore the mechanical properties and stem development of a tropical climber that develops trellises in tropical rain forest canopies. We measured the young stems of <em>Condylocarpon guianensis</em> (Apocynaceae) that construct complex trellises via self-supporting shoots, attached stems and unattached pendulous stems. The results suggest that in this species there is a size (stem diameter) and developmental threshold at which plant shoots will make the developmental transition from stiff young shoots to later flexible stem properties. Shoots that do not find a support remain stiff, becoming pendulous and retaining numerous leaves. The formation of a second TYPE II (lianoid) wood is triggered by attachment, guaranteeing increased flexibility of light-structured shoots that transition from self-supporting searchers to inter-connected net-like trellis components. The results suggest that this species shows a “hard-wired” development that limits self-supporting growth among the slender stems that make up a liana trellis. The strategy is linked to a stem-twining climbing mode and promotes a rapid transition to flexible trellis elements in cluttered densely branched tropical forest habitats. These are situations that are prone to mechanical perturbation via wind action, tree falls and branch movements. The findings suggest that some twining lianas are mechanically fine-tuned to produce trellises in specific habitats. Trellis building is carried out by young shoots that can perform very different functions via subtle development changes in order to ensure a safe space occupation of the liana canopy.</p>
SBC LTER: Land: Hydrology: Precipitation at Gaviota at Hwy 101 N rest stop (GV201)
Precipitation was collected at Gaviota at Hwy 101 N rest stop in the Santa Barbara coastal area (site ID: GV201).A Tipping Bucket rain gauge from either Qualimetrics (Model 6011B) or Sutron (Model 5600-0425-2) was used.
STOP-IT Human Presence Detector (HPD)
<p>Detecting human movement using WiFi commercial off-the-shelf devices can be effected by exploiting Channel State Information (CSI). CSI is part of the WiFi protocol and models the propagation of a WiFi signal from the transmitter to the receiver, supporting many subcarriers due to the Orthogonal Frequency Division Multiplexing (OFDM) principle. Taking profit of the information provided by the CSI it is possible to detect an intruder in a room or even detect the intruder through the wall. The Human Presence Detector (HPD) uses this technology to detect the presence of a human in movement.</p>
STOP-IT Cyber Threat Sharing Service (CTSS)
<p>The Cyber Threat Sharing Service collects sources of existing threats from relevant feeds, and structuring the information using standards to facilitate the exchange of the security threats identified (e.g. MITRE, OASIS). Personalized alerts and relevant information can be provided according to the subscription parameters the CI has requested. This service ensures the mitigation of threats to CI; enhances the coordination within CI establishing exchange methods to prevent, reduce, mitigate and recover from existing threats; and allows the coordination between similar centres in the world to deal with CI threats in a global approach.</p>
STOP-IT REAL-TIME ANOMALY DETECTOR (RTAD)
<p>ICS were designed with automation reliability in mind and most communication technologies were proprietary with no compatibility with TCP/IP Stack. Nowadays most devices have connectivity features inheriting attacks that do not require physical access to plant or systems and organizations are dedicating resources to protect their assets converging physical, logical and IT resources. Task 5.5 objective is to detect known and unknown threats to ICS systems affecting integrated sensors or actuators and SCADA systems by monitoring and learning from its normal behaviour and giving the ICS operators the ability to detect advanced attacks and anomalies before they can cause damage or spread inside the network. Machine Learning techniques and custom attacks were developed for those purposes in order to identify attack patterns and unwanted behaviour before they can interact with sensors/actuators or spoof SCADA reporting messages for removing visibility of the threat to the operator.</p>
STOP-IT Real-Time Sensor Data Protection (RSDP)
<p>Sensors, and other devices, generate large amounts of data, which can be used for different purposes; for example, controlling the proper functioning of a critical infrastructure, performing predictive maintenance actions or making decisions that improve the productivity of an industrial plant. However, the use or analysis of erroneous or corrupt data can cause catastrophic situations. For this reason, it is very important to be able to guarantee the integrity of the data generated by sensors, or other devices, which will be used to perform relevant actions for a critical infrastructure, industrial plant, etc. The RSDP tool provides exactly that service, it checks the integrity of the data that has been previously stored in the system, and this can be guaranteed thanks to the use of Blockchain, or DLT, technologies.</p>
2021 New York City Daily Residential Parcel Volume and Stops
<p>These datasets give <strong>2021 NYC residential parcel volume and stops </strong>information. The four datasets represent the estimated volume and stops served by Amazon, FedEx, UPS, and USPS respectively.</p> <p>The dataset is generated by using the Pluto 2021, 2020 census, 2020 USPS postal diary, and the market share among the four companies in 2021. In total,1.92 million daily residential parcels are estimated in the whole NYC area. Each row represents a unique stop. It contains the census tract ID the stop belongs to, its coordinates, and the delivery (FTA) and pickup (FTP) volume. We assume that no pickup volume is assigned to Amazon and USPS due to their service characteristics. In the case of USPS, no direct pickup service will be provided. Instead, the parcel will be directly handed to post offices for pickup. The pickup volume proportional to Amazon's market share is evenly distributed to FedEx and UPS pickup services.</p> <p>"myGraph.pickle": pickle file storing the NYC OSM network graph.</p> <p>"Shapfile.zip": Shapefiles containing different geographic features of NYC.</p> <p>"Centroid_OSM.zip": OSM maps storing the centroid of NYC census tracts.</p> <p>"NTA_dist.zip": VKT result based on NTA. </p> <p>"Service Zone": facility locations represented by OSM node ID and the service areas defined by census tracts</p>
SBC LTER: Land: Hydrology: Stream discharge and associated parameters at Gaviota Creek, Hwy 101 South Rest Stop (GV01)
Stream Discharge and water temperature were collected with a Solinst Model 3001 LT Levelogger at Gaviota Creek along Highway 101 at the South Rest Stop, GV01 in the Santa Barbara coastal area (site ID: GV01). Data are reported hourly. Stage values were converted to discharge using a rating curve developed with stream channel cross-sections, roughness estimates and the HEC-RAS model.
STOP CORONAVIRUS | Por que lavar as mãos?
<p> </p> <p>Curta-metragem vinculado à série STOP CORONAVÍRUS, aborda medias preventivas frente a disseminação do novo Coronavírus (Sars-CoV-2), agente da COVID-19. Produto Fauna Brasil - UFF / Laboratório de Registro Audiovisual da Fauna Brasileira.</p>
Knowing When to Stop Looking
<p>Talk at the <a href="https://www.digital-philosophy.org/" target="_blank" rel="noopener">Philosophy [in:of:for:and] Digital Knowledge Infrastructures</a> online workshop 2023 (28/09/2023).</p>
Figure 3. Critical stop lines for a sequential count plan for T. urticae. For a in Spatial distribution and sampling plan for Tetranychus urticae (Acari: Tetranychidae) in bean crops
Figure 3. Critical stop lines for a sequential count plan for T. urticae. For a precision level of 10 and 25%.
RoadTrafficMARKS: Dataset of 10057 images (256x256 pixels) of Curved arrow, Straight arrow, Pedestrian crossing, Straight-right merge arrow, Merge arrow, Left arrow, Yield, Stop, Right arrow, Straight-left merge arrow, Speed limit and Straight-right-left merge arrow markings and their BoundingBox labels
<p><strong>The dataset consists of 10057 PNG images (256x256 pixels) of </strong><strong>high resolution aerial orthoimages </strong><strong>taggged with </strong><strong>twelve classes of traffic signals</strong><strong>: (1) Curved arrow, (2) Straight arrow, (3) Pedestrian crossing, (4) Straight-right merge arrow, (5) Merge arrow, (6) Left arrow, (7) Yield, (8) Stop, (9) Right arrow, (10) Straight-left merge arrow, (11) Speed limit and (12) Straight-right-left merge arrow markings, together with their corresponding Bounding Boxes. The dataset has been created in the framework of the SROADEX project to train an identification process based on artificial neural networks.</strong></p> <p><strong>The dataset was created by manually tagging the twelve class of marks on orthoimage tiles of 256x256 pixels </strong><strong><strong>with the LabelMe tool</strong>. After the semantic labeling (manual digitalization of the contour of the signals), a transformation and random splitting process has been carried to prepare the data for the neural networks</strong><strong><strong> training</strong>. It resulted in 80% of the images for training (8031), 10% for validation (1000) and 10% for testing (1021).</strong></p> <p><strong>The next table presents the number of images of each class on the </strong><strong><strong>"train", "valid" and "test" </strong>sets.</strong></p> <table> <tbody> <tr> <td> </td> <td>Train</td> <td>Valid</td> <td>Test</td> <td>Total</td> </tr> <tr> <td>CURVED ARROW</td> <td>319</td> <td>43</td> <td>48</td> <td>410</td> </tr> <tr> <td>STRAIGHT ARROW</td> <td>6730</td> <td>806</td> <td>843</td> <td>8379</td> </tr> <tr> <td>PEDESTRIAN CROSSING</td> <td>3881</td> <td>465</td> <td>485</td> <td>4831</td> </tr> <tr> <td>STRIGNT-RIGHT MERGE ARROW</td> <td>1373</td> <td>187</td> <td>177</td> <td>1737</td> </tr> <tr> <td>MERGE ARROW</td> <td>550</td> <td>91</td> <td>59</td> <td>700</td> </tr> <tr> <td>LEFT ARROW </td> <td>238</td> <td>33</td> <td>31</td> <td>302</td> </tr> <tr> <td>YIELD</td> <td>356</td> <td>47</td> <td>40</td> <td>443</td> </tr> <tr> <td>STOP</td> <td>141</td> <td>19</td> <td>15</td> <td>175</td> </tr> <tr> <td>RIGHT ARROW</td> <td>836</td> <td>93</td> <td>111</td> <td>1040</td> </tr> <tr> <td>STRIGNT-LEFT MERGE ARROW</td> <td>152</td> <td>19</td> <td>21</td> <td>192</td> </tr> <tr> <td>SPEED LIMIT</td> <td>392</td> <td>50</td> <td>45</td> <td>487</td> </tr> <tr> <td>STRIGNT-RIGHT-LEFT MERGE ARROW</td> <td>82</td> <td>9</td> <td>9</td> <td>100</td> </tr> </tbody> </table>
Offset central stop data
<p>Results of shifting optics on the full width at half maximum and fractional integrated intensity of focal spot.</p>
Dependence of MeV TOF SIMS secondary molecular ion yield from phthalocyanine blue on primary ion stopping power
<p>Time-of-flight Secondary Ion Mass Spectrometry (TOF SIMS) is a well-established mass spectrometry technique used for the chemical analysis of both organic and inorganic materials. In the last ten years, many advances have been made to improve the yield of secondary molecular ions, especially those desorbed from the surfaces of organic samples. For that, cluster ion beams with keV energies for the excitation were mostly used. Alternatively, single-ion beams with MeV energies can be applied, as done in the present work. It is well known that secondary molecular/ion yield depends strongly on the primary ion stopping power, but the nature of this dependence is not completely clear. Therefore, in the present work secondary ion yield from the phthalocyanine blue (C<sub>32</sub>H<sub>16</sub>CuN<sub>8</sub>, organic pigment) was measured for the various combinations of ion masses, energies and charge states. Measured values were compared with the existing models for ion sputtering. An increase of the secondary yield with the primary ion energy, electronic stopping, velocity and charge state was found for different types of primary ions. Although this general behavior is valid for all primary ions, there is no single parameter that can describe the measured results for all primary ions at once. </p> <p>- measured (calibrated) spectra are uploaded </p> <p> </p> <p> </p>
Dataset: One Stop Systems, Inc. (OSS) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Using the Genetic Algorithm for the Optimization of Dynamic School Bus Routing Problem-Figure 7. Application main form which includes route, bus stops and GA parameters
<p>For this study, the school bus routes within the Ankara Province were used as case studies. The school bus routes were recorded by using the Android application and instantaneous GPS monitoring method. The home address of each student was taken as a stopping point. At the end of each route, the distances between the beginning and end points were recorded. After transferring the obtained route data into the database, the ill-adapted points were eliminated. By means of the developed application, the existing school bus routes are dynamically optimized using GA. It was developed both as a mobile and desktop application. Using Android- based mobile software, the information regarding GPS locations of bus stops and school buses is transferred to the server on a real-time basis. Using the desktop software, where GAs are run, these coordinates are shown on a Google map, and the most suitable route is produced and sent to the school bus via server. This method provides the opportunity to dynamically reflect certain factors such as a different initial point for the school bus, some students being absent from the school on a particular day, and eventual changes on the existing roads on the route production process.</p>
Duhumbi Phonology - Glottal Stop and Glottal Constriction
<p>The phonologic position of the glottal stop /ʔ/ in Duhumbi is elusive. The glottal stop and glottal</p> <p>constriction are clearly phonetic features among all speakers of all varieties of the language.</p> <p>However, there is no convincing evidence that it occurs as a distinctive phoneme. Rather, the glottal</p> <p>stop co-occurs as a glottal closure on onset vowels /a, e, i, o/, as a sub-phonemic feature combined</p> <p>with creaky voice and rising pitch on certain open vowels /a, e, o, u/, or as allophone of the plosives,</p> <p>mainly the velar plosive /k/, in coda position in certain phonotactic environments.</p> <p>This file presents an overview of the position of the glottal stop and glottal constriction in Duhumbi and presents some of the recordings that form the basis of it.</p> <p>This material is made freely available to everyone for informative or scientific purposes as long as the source (this DOI) / the collectors are properly credited. Please note that use of the material for commercial purposes <em><strong>of any kind</strong>, which includes conversion into commercial audio-visual media (documentaries etc.), storage and dissemination through sites that require registration & payment for access, or sites that rely on advertisement (including YouTube) </em>is <strong>not</strong> permitted without <strong>specific written consent</strong> from the speakers and their community, obtained through the collectors of the material. By downloading our material, you agree to these restrictions.</p> <p>This data set falls under the Attribution-NonCommercial-ShareAlike (CC BY-NC-SA) license. This license lets you remix, tweak, and build upon this work non-commercially, as long as you credit us and license your new creations under the identical terms. License Deed on <a href="https://creativecommons.org/licenses/by-nc-sa/4.0/">https://creativecommons.org/licenses/by-nc-sa/4.0/</a>. Legal Code on <a href="https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode">https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode</a>.</p> <p>Tim Bodt: bodttim (at) gmail (dot) com</p>
Sixty-years of community-science data suggest earlier fall migration and short-stopping of several species of waterfowl in North America
<p>Worldwide, migratory phenology and movement of many bird species are shifting in response to anthropogenic climate and habitat changes. However, due to variation among species and a shortage of analyses, changes in waterfowl migration, particularly in the fall, are not well understood. Fall migration phenology and movement patterns dictate waterfowl hunting success and satisfaction, with cascading implications on economies and support for habitat management and securement. Using 60 years of band recovery data for waterfowl banded in the Canadian Prairie Pothole Region (PPR), we evaluated whether fall migration timing and/or distribution changed in Mallard (<em>Anas</em> <em>platyrhynchos</em>), Northern Pintail (<em>A. acuta</em>), and Blue-winged Teal (<em>Spatula</em> <em>discors</em>) between 1960 and 2019. We found that in the Midcontinent Flyways, Mallards and Blue-winged Teal migrated faster in more recent time periods, while Northern Pintail began fall migration earlier. In the Pacific Flyway, Mallards began fall migration earlier. Both Mallards and Northern Pintails showed evidence of short-stopping in the Midcontinent Flyways. Indeed, the Mallard and Northern Pintail distribution of band recovery data shifted 180 km and 226 km north respectively from 1960 to 2019. Conversely, Blue-winged Teal recovery distributions were consistent across years. Mallards and Northern Pintails also exhibited an increased proportion of band recoveries in the Pacific Flyway in recent decades. We provide clear evidence that the timing and routes of fall migration have shifted over the past six decades, but these phenological and spatial shifts differ among species. We suggest that using community-science data collected by hunters themselves to explain one of the group's major concerns (changes in duck abundance at traditional hunting grounds), within the environmental lens of climate change, may help lead to further engagement and two-way dialogue to support effective waterfowl management for these culturally and ecologically important species. </p>
"I was on vacation in Mala, living in a self-catering holiday cottage, together with my girlfriend (we're together for 11 years now), recovering from a heavy workload in the second half of 2008. We were sitting outside, probably sipping a beer, when we heard the sound of bells approaching. Stepping on the stones that enclose the little forecourt of the cottage, we could just see the goat herd being driven by. Idashed for my R09 (recording equipment) to get that impression – but too slowly too late, it seemed, the herd had disappeared and with it the sound. When Iwas about to pack my R09 again the sound appeared to come back, so Idashed down the driveway, just in time to see the herd pass, and then Ifollowed it a couple of hundred meters, walking behind the herd, trying not to breathe or make stepping sounds, eventually, when dogs started barking and a car approached from behind, I stopped and let the goats go on, the car passes, honks ... and Icut the recording and walk back to the cottage." [Peter/ptroxler]13 in Collecting Sounds. Online Sharing of Field Recordings as Cultural Practice
"I was on vacation in Mala, living in a self-catering holiday cottage, together with my girlfriend (we're together for 11 years now), recovering from a heavy workload in the second half of 2008. We were sitting outside, probably sipping a beer, when we heard the sound of bells approaching. Stepping on the stones that enclose the little forecourt of the cottage, we could just see the goat herd being driven by. Idashed for my R09 (recording equipment) to get that impression – but too slowly too late, it seemed, the herd had disappeared and with it the sound. When Iwas about to pack my R09 again the sound appeared to come back, so Idashed down the driveway, just in time to see the herd pass, and then Ifollowed it a couple of hundred meters, walking behind the herd, trying not to breathe or make stepping sounds, eventually, when dogs started barking and a car approached from behind, I stopped and let the goats go on, the car passes, honks ... and Icut the recording and walk back to the cottage." [Peter/ptroxler]13
Estimates of Shark at-vessel, Post-release Mortality, and Retention Ban Effects on Stopping Overfishing
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.