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559 results for “Track data”
Kopaitic Island Adelie penguin GPS tracking data 2018-2019
<p>These represent the speed filtered GPS datasets for individual Adelie penguins instrumented between November 2018 and February 2019 at Kopiaitic Island approximately 500m offshore from the Chilean Bernardo O'Higgins Antarctic Base on the western Antarctic Peninsula. They are stored as trip objects within standard .RData Workspaces. The objects are unprojected, but adhere to the CRS projection " +proj=lonlat +ellps=WGS84 +datum=WGS84" Individuals were also instrumented with dive loggers and accelerometer / magnetometer tags, and a subset were also instrumented with HD video cameras. These additional datasets will be published that are linked by unique animal #ID and deployment round number.</p>
Deception Island Chinstrap penguin GPS tracking data 2018-2019 RAW
<p>These represent the speed filtered GPS dataset and associated CRAWL models (R package crawl, v2.2.1) for 83 individual Chinstrap penguins instrumented between November 2018 and February 2019 at Deception Island at Bailey Head and Macaroni Point. Each individual penguin has a unique identifier (D_Rxx_Pxx) The data is tidy (one row = 1 observation = 1 location) and clean (no NAs; no duplicated lines, tracks cut off by deployment date + 24h and recovery date; points less than 2 min apart were removed for D_R4_P10). Each track is matched to the individual penguin metadata (ID, instrument type, deployment, recovery dates, original file, breeding status) The data is stored as a tibble in a R environment, contains 84,550 GPS locations and 24 columns. The GPS locations are available unprojected (lat lon &#34; +proj=lonlat +ellps=WGS84 +datum=WGS84&#34;; EPGS 4326) and projected in Polar stereographic (+proj=stere +lat_0=-90 +lat_ts=-71 +lon_0=0 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs; EPSG:3031). Also included are pdf images of individual tracks, and the shapefile (polygon) of Deception Island used as a mask. </p>
Kopaitic Island Gentoo penguin GPS tracking data 2018-2019
<p>These represent the speed filtered GPS datasets for individual Gentoo penguins instrumented between November 2018 and February 2019 at Kopiaitic Island approximately 500m offshore from the Chilean Bernardo O'Higgins Antarctic Base on the western Antarctic Peninsula. They are stored as trip objects within standard .RData Workspaces. The objects are unprojected, but adhere to the CRS projection " +proj=lonlat +ellps=WGS84 +datum=WGS84" Individuals were also instrumented with dive loggers and accelerometer / magnetometer tags, and a subset were also instrumented with HD video cameras. These additional datasets will be published that are linked by unique animal #ID and deployment round number.</p>
Did you even see that? Visual sensory processing of single stimuli under different locomotor loads [motion tracking data]
<p>Modern living and working environments are more and more interspersed with the concurrent execution of locomotion and sensory processing, most often in the visual domain. Many job profiles involve the presentation of visual information while walking, for example in warehouse logistics work, where a worker has to manage walking to the correct aisle to pick up a package while being presented with visual information over data-glasses concerning the next order. Similar use-cases can be found in manufacturing jobs, for example in car montage assembly lines where next steps are presented via augmented reality headsets while walking at a slow pace. Considering the overall scarcity of cognitive resources available to be deployed to either the cognitive or motor processes, task performance decrements were found when increasing load in either domain. Interestingly, the walking motion also had beneficial effects on peripheral contrast detection and the inhibition of visual stream information.</p> <p>Taking these findings into account, we conducted a study that comprised the detection of single visual targets (Landolt Cs) within a broad range of the visual field (-40° to +40° visual angle) while either standing, walking, or walking with concurrent perturbations. We used questionnaire (NASA-TLX), behavioral (response times and accuracy), and neurophysiological data (ERPs and ERSPs) to quantify the effects of cognitive-motor interference. The study was conducted in a Gait Real-time Analysis Interactive Laboratory (GRAIL), using a 180° projection screen and a swayable and tiltable dual-belt treadmill.</p> <p>Questionnaire and behavioral measures showed common patterns. We found increasing subjective physical workload and behavioral decrements with increasing stimulus eccentricity and motor complexity. Electrophysiological results also indicated decrements in stimulus processing with higher stimulus eccentricity and movement complexity (P3, Theta), but highlighted a beneficial role when walking without perturbations and processing more peripheral stimuli regarding earlier sensory components (N1pc/N2pc, N2).</p> <p>These findings suggest that walking without impediments can enhance the visual processing of peripheral information and therefore help with perceiving non-foveal sensory content. Also, our results could help with re-evaluating previous findings in the context of cognitive-motor interference, as increased motor complexity might not always impede cognitive processing and performance.</p>
Code and Data for: "How agency shapes social preferences: Using mouse-tracking to reveal changes in cognitive conflict"
Open the record for dataset details and reuse information.
Tracking data for gentoo penguins (Pygoscelis papua) breeding in two sites on the Western Antarctic Peninsula in season 2022/23
<p>This dataseta contain tracking data of gentoo penguins (<em>Pygoscelis papua</em>) during december 2022, breeding in Harmony Point (Nelson Island, South Shetland Islands) and Kopaitic Island (Antarctic Peninsula). Tracking was made with axy-trek marine devices, consisting of 5-minute interval GPS fixes and time depth recorders (TDR). TDR data was previously processed using the R script (appended) to generate summarized dive statistics using the diveMove R package. Each animal have two files, one for raw GPS data and one for summarized dive statistics.</p> <p>Production of this dataset was supported by the Instituto Antártico Chileno, Programa Áreas Marinas Protegidas (AMP 24 03 052), ANID – Programa Iniciativa Milenio – ICN2021_002 (BASE).</p>
Track normalization and averaging of H3K4me3 ChIP-seq data across various cell and tissue types.
GEO Series GSE65049. Homo sapiens. 21 samples. Type: Genome binding/occupancy profiling by high throughput sequencing; Third-party reanalysis.
LRO MOON RADIO SCIENCE RAW TRACKING DATA V1.0
This data set contains archival raw, partially processed, and ancillary/supporting radio science data acquired during the Lunar Reconnaissance Orbiter (LRO) mission. The radio observations were carried out using the LRO spacecraft and Earth-based stations of the commercial Universal Space Network (USN), the Ka-band ground station at White Sands, New Mexico (WS1), and the Next Generation Satellite Laser Ranging station in Greenbelt, Maryland (NGSLR). Additional data were provided by the NASA Deep Space Network (DSN) during commissioning. Ongoing participation by the International Laser Ranging Service (ILRS) network of stations provides further LR data that are processed by the Lunar Orbiter Laser Altimeter (LOLA) Science Operations Center (SOC). Of most interest are likely to be the Tracking Data Files in the TRK directory.
CALIPSO Imaging Infrared Radiometer L2 Data Track V3-30
Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) was launched on April 28, 2006 to study the impact of clouds and aerosols on the Earth’s radiation budget and climate. It flies in formation with five other satellites in the international “A-Train” (PDF) constellation for coincident Earth observations. The CALIPSO satellite comprises three instruments, the Cloud-Aerosol LIdar with Orthogonal Polarization (CALIOP), the Imaging Infrared Radiometer (IIR), and the Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency, CNES. These data consist of half orbit (Night and Day) emissivity and cloud particle data related to pixels that have been co-located to the Lidar track.
MAGELLAN RAW RADIO TRACKING DATA V1.0
Archival Tracking Data Files (ATDFs, also sometimes known as TRK-2-25 data) from the MAGELLAN mission to Venus (1989-1994) and Orbit Data Files (ODFs, also known as TRK-2-18 data) from the final 2-3 years of the MAGELLAN mission (1992-1994). These data include range and Doppler measurements from the radio tracking system of the NASA Deep Space Network (DSN). The measurements can be used to derive a spherical harmonic model of the Venus gravity field.
CALIPSO Imaging Infrared Radiometer L2 Data Track V3-02
Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) was launched on April 28, 2006 to study the impact of clouds and aerosols on the Earth’s radiation budget and climate. It flies in formation with five other satellites in the international “A-Train” (PDF) constellation for coincident Earth observations. The CALIPSO satellite comprises three instruments, the Cloud-Aerosol LIdar with Orthogonal Polarization (CALIOP), the Imaging Infrared Radiometer (IIR), and the Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency, CNES. These data consist of half orbit (Night and Day) emissivity and cloud particle data related to pixels that have been co-located to the Lidar track.
CALIPSO Imaging Infrared Radiometer L2 Data Track V2-01
Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) was launched on April 28, 2006 to study the impact of clouds and aerosols on the Earth’s radiation budget and climate. It flies in formation with five other satellites in the international “A-Train” (PDF) constellation for coincident Earth observations. The CALIPSO satellite comprises three instruments, the Cloud-Aerosol LIdar with Orthogonal Polarization (CALIOP), the Imaging Infrared Radiometer (IIR), and the Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency, CNES. These data consist of half orbit (Night and Day) emissivity and cloud particle data related to pixels that have been co-located to the Lidar track.
ULY JUP SCE RAW ARCHIVAL TRACKING DATA FILES V1.0
This data set contains raw radio tracking data from the Ulysses (ULY) Solar Corona Experiment (SCE) obtained during the ULY Jupiter flyby. The data target the Io Plasma Torus (IPT) and cover the period 1992-02-04 20:28 to 1992-02-09 15:44.
CALIPSO Imaging Infrared Radiometer L2 Data Track V3-01
Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) was launched on April 28, 2006 to study the impact of clouds and aerosols on the Earth’s radiation budget and climate. It flies in formation with five other satellites in the international “A-Train” (PDF) constellation for coincident Earth observations. The CALIPSO satellite comprises three instruments, the Cloud-Aerosol LIdar with Orthogonal Polarization (CALIOP), the Imaging Infrared Radiometer (IIR), and the Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency, CNES. These data consist of half orbit (Night and Day) emissivity and cloud particle data related to pixels that have been co-located to the Lidar track.
CALIPSO Imaging Infrared Radiometer L2 Data Track V2-02
Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) was launched on April 28, 2006 to study the impact of clouds and aerosols on the Earth’s radiation budget and climate. It flies in formation with five other satellites in the international “A-Train” (PDF) constellation for coincident Earth observations. The CALIPSO satellite comprises three instruments, the Cloud-Aerosol LIdar with Orthogonal Polarization (CALIOP), the Imaging Infrared Radiometer (IIR), and the Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency, CNES. These data consist of half orbit (Night and Day) emissivity and cloud particle data related to pixels that have been co-located to the Lidar track.
Deception Island Chinstrap penguin GPS tracking data 2018-2019 RAW
<p>These represent the speed filtered GPS dataset for 83 individual Chinstrap penguins instrumented between November 2018 and February 2019 at Deception Island at Bailey Head and Macaroni Point.</p> <p>Each individual penguin has a unique identifier (D_Rxx_Pxx)</p> <p>The data is tidy (one row = 1 observation = 1 location) and clean (no NAs; no duplicated lines, tracks cut off by deployment date + 24h and recovery date; points less than 2 min apart were removed for D_R4_P10). </p> <p>Each track is matched to the individual penguin metadata (ID, instrument type, deployment, recovery dates, original file, breeding status)</p> <p>The data is stored as a tibble in a R environment, contains 84,550 GPS locations and 24 columns. The GPS locations are available unprojected (lat lon " +proj=lonlat +ellps=WGS84 +datum=WGS84"; EPGS 4326) and projected in Polar stereographic (+proj=stere +lat_0=-90 +lat_ts=-71 +lon_0=0 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs; EPSG:3031). </p> <p> </p>
data set related to article Parenting practices moderate the link between attention to the eyes and callous unemotional traits in children with Disruptive Behavior Disorder: An eye-tracking study
<p>This record contains raw data related to article Parenting practices moderate the link between attention to the eyes and callous unemotional traits in children with Disruptive Behavior Disorder: An eye-tracking study</p>
data set related to article Reading Behaviors through Patterns of Finger-Tracking in Italian Children with Autism Spectrum Disorder
<p>This record contains raw data related to article Reading Behaviors through Patterns of Finger-Tracking in Italian Children with Autism Spectrum Disorder</p> <p>Per la richiesta di accesso al file contattare il Dr. Antonio Narzisi all'indirizzo email antonio.narzisi@fsm.unipi.it</p>
Waveform data for 'Seismic Footprints Monitoring and Trajectory Tracking of Moving Aircrafts'
<p>Data of waveform and flights for 'Seismic Footprints Monitoring and Trajectory Tracking of Moving Aircrafts'</p>
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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.