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8,020 results for “pilot”
Livorno, Highway pilot, connected car system and data management
<p><strong>Scenario description</strong>:</p> <p>Precondition:</p> <p>1. AD cars with C-eHorizon and V2X OBU devices on board travels on the highway. The highway is equipped with IoT G5 RSUs. All the devices publish and share the information by the oneM2M platform in the cloud.</p> <p>Actions or events:</p> <p>1 The Traffic Control Center publishes the presence of roadway works to the OneM2M platform.</p> <p>2 The RSU (subscribed to the OneM2M platform) receives the information and it broadcasts to the vehicles the DENM message containing information about available lanes, speed limits, geometry, alternative routes etc.</p> <p>3 At the same time, the CONTI cloud is subscribed to the oneM2M platform; it receives and shares with the FCA cloud the information of the road works, updating dynamically the maps of the Connected e-Horizon installed onboard the CRF AD car</p> <p>4 The in-vehicle application fusing the information from the OBU, the C-eHorizon and on-board sensors, performs speed adaptation and lane-change maneuvers</p> <p>Relevant situations: How the AD function interacts with different IoT input: from I2V (DENM, Roadwork position and extension); from V2V (CAM with info from other vehicles).</p> <p><strong>Session description</strong>:</p> <p>pre-test session with only connected cars, lap of 11,6 km on the highway. Goal is to check all the system and data management.</p> <p><strong>Datasets description</strong>:</p> <p><strong>AUTOPILOT_Livorno_HighwayPilot_Vehicle_all</strong>: Data generated from the vehicle sensors</p> <p>This dataset refers to the vehicle datasets generated from the vehicle sensors during Highway Piloting in Livorno. This includes the data coming from the CAN bus and GPS. It includes following kind of dataset: Vehicle: general data (speed, battery); PositioningSystem: data from GPS; VehicleDynamics: data about dynamic (acceleration...); LateralControl: steering and lane control data</p> <p><strong>AUTOPILOT_Livorno_HighwayPilot_V2X_all</strong>: V2V messages during the Highway Pilot sessions</p> <p>This dataset refers to the V2V messages exchanged between ITS stations (vehicles and RSUs) during the Highway Piloting in Livorno.</p> <p><strong>AUTOPILOT_Livorno_HighwayPilot_IoT_all</strong>: Data extracted from IoT oneM2M platform</p> <p>This dataset refers to messages exchanged by HighwayPilot devices, applications and services across the oneM2M platform.</p>
Livorno, Highway pilot, one automated and two connected cars
<p><strong>Scenario description</strong>:</p> <p>Precondition:</p> <p>A vehicle is driving in the first lane of a “smart highway” at 90 km/h with all the devices working correctly and connected to all services needed.</p> <p>Actions or events: </p> <p>1 The puddle monitoring system of the highway triggers a puddle hazard warning for a specific extended zone.</p> <p>2 The AD car receives the information by IoT based services and sets a speed limitation according to the area interested by hazard conditions: it smoothly decelerates in order to enter in the area at the proper speed.</p> <p>3 At the end of the dangerous area, as notified by the “smart road”, the vehicle will recover the legally allowed cruise speed.</p> <p>Relevant situations: How the AD function interacts with different IoT input: from oneM2M platform (advisory speed limit due to puddles); from I2V (DENM, puddle hazard warning); from V2V (CAM with info from other vehicles).</p> <p><strong>Session description</strong>:</p> <p>Test session with one AD+connected car and two connected cars, lap of 12,3 km on the highway.</p> <p><strong>Datasets description</strong>:</p> <p><strong>AUTOPILOT_Livorno_HighwayPilot_Vehicle_all</strong>: Data generated from the vehicle sensors</p> <p>This dataset refers to the vehicle datasets generated from the vehicle sensors during Highway Pilot session in Livorno. This includes the data coming from the CAN bus and GPS. It includes following kind of dataset: Vehicle: general data (speed, battery); PositioningSystem: data from GPS; VehicleDynamics: data about dynamic (acceleration...); LateralControl: steering and lane control data</p> <p><strong>AUTOPILOT_Livorno_HighwayPilot_V2X_all</strong>: V2V messages during Highway Pilot sessions</p> <p>This dataset refers to the V2V messages exchanged between ITS stations (vehicles and RSUs) during the Highway Pilot session in Livorno.</p> <p><strong>AUTOPILOT_Livorno_HighwayPilot_IoT_all</strong>: Data extracted from IoT oneM2M platform</p> <p>This dataset refers to messages exchanged by HighwayPilot devices, applications and services across the oneM2M platform.</p>
Greensoul Individual and Collective Pilot Data
<p>*************************************<br> * GreenSoul Pilot dataset description *<br> *************************************</p> <p>The dataset has been created from obtaining data from 5 buildings in 5 cities in 4 EU countries. It is composed of 3 different datasets per pilot. More information about the pilots, the treatments and the overall approach can be found on the project's website http://www.greensoul-h2020.eu/. The datasets is in .xlsx and contains the following:</p> <p> * Individual consumption as measured by a smartplug on each occupant's workstations<br> - Contains consumption data in Wh per smartplug deployed and covers the tabs: MPH_SPs, DEUSTO_SPs, ALLIA_SPs, WEIZ_SPs, and SEVILLE_SPs. </p> <p> * Collective consumption as measured by energy meters on the main office circuits per treatment applied on each pilot. <br> - Contains consumption data in kWh per treatment deployed and covers the tabs: MPH_UMDs_Treatments, DEUSTO_UMDs_Treatments, ALLIA_BMS_Treatments, ECOLUTION_UMDs_Treatments, and SEVILLE_UMDs_Treatments.</p> <p> * Indicative indoor temperature per pilot <br> - Contains temperature measurements in oC in each pilot. For MPH more than one sensors is reported. Covers the tabs: MPH Temperatures, ECOL Temperature, UDEUSTO Temperature.</p>
Dataset related to article "Computer-aided assessment of the extra-cellular matrix during pancreatic carcinogenesis: a pilot study."
<p>BACKGROUND:</p> <p>A hallmark of pancreatic ductal adenocarcinoma is the desmoplastic reaction, but its impact on the tumor behavior remains controversial. Our aim was to introduce a computer -aided method to precisely quantify the amount of pancreatic collagenic extra-cellular matrix, its spatial distribution pattern, and the degradation process.</p> <p>METHODS:</p> <p>A series of normal, inflammatory and neoplastic pancreatic ductal adenocarcinoma formalin-fixed and paraffin-embedded Sirius red stained sections were automatically digitized and analyzed using a computer-aided method.</p> <p>RESULTS:</p> <p>We found a progressive increase of pancreatic collagenic extra-cellular matrix from normal to the inflammatory and pancreatic ductal adenocarcinoma. The two-dimensional fractal dimension showed a significant difference in the collagenic extra-cellular matrix spatial complexity between normal versus inflammatory and pancreatic ductal adenocarcinoma. A significant difference when comparing the number of cycles necessary to degrade the pancreatic collagenic extra-cellular matrix in normal versus inflammatory and pancreatic ductal adenocarcinoma was also found. The difference between inflammatory and pancreatic ductal adenocarcinoma was also significant. Furthermore, the mean velocity of collagenic extra-cellular matrix degradation was found to be faster in inflammatory and pancreatic ductal adenocarcinoma than in normal.</p> <p>CONCLUSION:</p> <p>These findings demonstrate that inflammatory and pancreatic ductal adenocarcinomas are characterized by an increased amount of pancreatic collagenic extra-cellular matrix and by changes in their spatial complexity and degradation. Our study defines new features about the pancreatic collagenic extra-cellular matrix, and represents a basis for further investigations into the clinical behavior of pancreatic ductal adenocarcinoma and the development of therapeutic strategies.</p>
Test of the haptic knob using a pilot software interface
<p>Additional material related to the paper "<em>A LOW-COST ENDLESS KNOB CONTROLLER WITH PROGRAMMABLE RESISTIVE FORCE FEEDBACK FOR MULTIMEDIA PRODUCTION</em>"</p> <p>This video contains an example of a hapitc knob device used for supporting basic audio editing operations in a pilot software environment developed in Processing. In particular, the five effects shown are amplitude transient detection, time window navigation, volume control, multiple choice selector and variable resistance.</p>
Early Requirements Traceability with Domain-Specific Taxonomies - A Pilot Experiment
<p>Experiment instrumentation (code), raw data, and R analysis scripts.</p> <p>Github repository: https://github.com/munterkalmsteiner/inception/tree/CoClassRecommender</p>
FIGURE 3 in A pilot phylogeny study of Nemobiinae inferred from 18S, 28S and genes, with descriptions of two new genera and a new species from Hainan, China (Orthoptera: Grylloidea: Trigonidiidae)
FIGURE 3. Qionemobius hsterus sp. nov. A. male, B. female, C. male genitalia in dorsal view, D. male genitalia in ventral view.
FIGURE 1 in A pilot phylogeny study of Nemobiinae inferred from 18S, 28S and genes, with descriptions of two new genera and a new species from Hainan, China (Orthoptera: Grylloidea: Trigonidiidae)
FIGURE 1. The phylogenetic history of representative Chinese Nemobiinae species. The topology of this tree was constructed based on 18S-28S-COI linked super-matrix. Amusurgus fujianensis and Homoeoxipha obliterata are regarded as the outgroup. Bootstrap values, posterior probabilities for super-matrix tree and the coalescent species tree are indicated above each branch in order. The pictures at right show the represents of each corresponding genus. Giga. and Qio. are the abbreviations of Giganemobius and Qionemobius, respectively. (photos by HE Zhu-Qing)
FIGURE 2 in A pilot phylogeny study of Nemobiinae inferred from 18S, 28S and genes, with descriptions of two new genera and a new species from Hainan, China (Orthoptera: Grylloidea: Trigonidiidae)
FIGURE 2. Giganemobius jianfenglingensis (A. male, B. female) and Qionemobius hsterus (C. male, D. female). (photos by HE Zhu-Qing)
Noise Maps ACTION pilot data 2020
<p>The Noise Maps project focused on deploying a citizen science process in the Barcelona neighborhoods of Sagrada Familia and the Raval to address the challenge of noise pollution. The sound data was generated between May and September 2020.</p>
Learning my way: a pilot study of navigation skills in Cerebral palsy in Immersive Virtual Reality
<p>The dataset includes data about 15 children with Cerebral Palsy (CP) and 13 typically developing (TD) peers that performed a new navigation task in Immersive Virtual Reality (IVR) in order to assess the individual navigation strategies and their modifiability in a situation resembling real life.</p> <p> </p>
FIGURE 55 in A pilot study of the Carpathian ichneumonine parasitoids (Hymenopera, Ichneumonidae: Ichneumoninae) reveals eighty-eight new records for Ukraine
FIGURE 55. Platylabus spp. from the Carpathian region, lateral view of habitus. A. P. borealis, male. B. T. odiosus, female. C. P. fugator, male. Scale bar = 1 mm.
FIGURE 60 in A pilot study of the Carpathian ichneumonine parasitoids (Hymenopera, Ichneumonidae: Ichneumoninae) reveals eighty-eight new records for Ukraine
FIGURE 60. Ichneumoninae spp. from the Carpathian region, frontal view of female face. A. Heterischnus filiformis. B. Stenodontus marginellus. C. Tycherus fuscibucca. D. Phaeogenes planifrons. E. Misetus oculatus. F. Oiorhinus pallipalpis. Scale bar = 0.1 mm.
FIGURE 59 in A pilot study of the Carpathian ichneumonine parasitoids (Hymenopera, Ichneumonidae: Ichneumoninae) reveals eighty-eight new records for Ukraine
FIGURE 59. Ichneumoninae spp. from the Carpathian region, frontal view of female face. A. Rhadinodonta flaviger. B. Spilichneumon celenae. C. Stenichneumon militarius. D. Stenobarichneumon protervus. E. Neotypus nobilitator. F. Pseudoplatylabus violentus. Scale bar = 0.1 mm.
FIGURE 54. Tycherus spp. from the Carpathian region, female habitus. A. T. kuhmoensis, dorsal view. B. T in A pilot study of the Carpathian ichneumonine parasitoids (Hymenopera, Ichneumonidae: Ichneumoninae) reveals eighty-eight new records for Ukraine
FIGURE 54. Tycherus spp. from the Carpathian region, female habitus. A. T. kuhmoensis, dorsal view. B. T. socialis, lateral view. Scale bar = 0.5 mm.
FIGURE 53. Tycherus spp. from the Carpathian region, female habitus. A. T. septentrionalis, lateral view. B. T in A pilot study of the Carpathian ichneumonine parasitoids (Hymenopera, Ichneumonidae: Ichneumoninae) reveals eighty-eight new records for Ukraine
FIGURE 53. Tycherus spp. from the Carpathian region, female habitus. A. T. septentrionalis, lateral view. B. T. teres, dorsal view. Scale bar = 0.5 mm.
FIGURE 57 in A pilot study of the Carpathian ichneumonine parasitoids (Hymenopera, Ichneumonidae: Ichneumoninae) reveals eighty-eight new records for Ukraine
FIGURE 57. Ichneumoninae spp. from the Carpathian region, frontal view of face. A. Achaius oratorius, female. B. Orgichneumon calcatorius, female. C. Platymischos bassicus, female. D. Aoplus ruficeps, female. E. Neischnus germari, female. F. Thyrateles haereticus, male. Scale bar = 0.1 mm.
FIGURE 52. Tycherus spp. from the Carpathian region, female habitus. A. T. fuscicornis, dorsal view. B. T in A pilot study of the Carpathian ichneumonine parasitoids (Hymenopera, Ichneumonidae: Ichneumoninae) reveals eighty-eight new records for Ukraine
FIGURE 52. Tycherus spp. from the Carpathian region, female habitus. A. T. fuscicornis, dorsal view. B. T. impiger, lateral view. Scale bar = 0.5 mm.
FIGURE 51 in A pilot study of the Carpathian ichneumonine parasitoids (Hymenopera, Ichneumonidae: Ichneumoninae) reveals eighty-eight new records for Ukraine
FIGURE 51. Tycherus spp. from the Carpathian region, lateral view of habitus. A. T. flavoclypeatus, male. B. T. parvitor, female. Scale bar = 0.5 mm.
FIGURE 49 in A pilot study of the Carpathian ichneumonine parasitoids (Hymenopera, Ichneumonidae: Ichneumoninae) reveals eighty-eight new records for Ukraine
FIGURE 49. Tycherus spp. from the Carpathian region, dorsal view of female habitus. A. T. elongates. B. T. flavidens. Scale bar = 0.5 mm.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.