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1,855 results for “Autonomous”
Data from: Epidermal expression of a sterol biosynthesis gene regulates root growth by a non-cell autonomous mechanism in Arabidopsis
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Data from: Optimized flocking of autonomous drones in confined environments
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Cell-autonomous light sensitivity via Opsin3 regulates fuel utilization in brown adipocytes
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Data from: An experimental study of the putative mechanism of a synthetic autonomous rotary DNA nanomotor
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Cell-autonomous immune gene expression is repressed in pulmonary neuroendocrine cells and small cell lung cancer
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GPM Ground Validation Raw Autonomous Parsivel Unit (APU) IFloodS V1
The GPM Ground Validation Raw Autonomous Parsivel Unit (APU) IFloodS dataset was collected by 14 Autonomous Parsivel Unit (APU) sites in eastern Iowa during the Global Precipitation Measurement (GPM) mission Iowa Flood Studies (IFloodS) field campaign. The campaign aimed to collect detailed measurements of precipitation at the Earth’s surface using ground instruments and advanced weather radars while simultaneously collecting data from satellites passing overhead. APU is an optical disdrometer system that measures precipitation particle size and fall velocity. This dataset consists of APU-calculated parameters and unfiltered drop spectrum data. The dataset files are available in ASCII text format from April 1 through May 24, 2013. Officially, the IFloodS campaign ran from May 1 to June 15, 2013, but the APUs were installed and had begun collecting data prior to the start of the campaign.
GPM Ground Validation Autonomous Parsivel Unit (APU) ICE POP V1
The GPM Ground Validation Autonomous Parsivel Unit (APU) ICE POP dataset was collected during the International Collaborative Experiments for Pyeongchang 2018 Olympic and Paralympic Winter Games (ICE POP) field campaign in South Korea. The two major objectives of ICE POP were to study severe winter weather events in regions of complex terrain and improve the short-term forecasting of such events. These data contributed to Global Precipitation Measurements mission Ground Validation (GPM GV) campaign efforts to improve satellite estimates of orographic winter precipitation. This dataset consists of precipitation data including precipitation amount, precipitation rate, reflectivity in Rayleigh regime, liquid water content, drop diameter, and drop concentration. Data are available in ASCII format from October 31, 2015 through July 1, 2018. It should be noted that this dataset extends prior to the field campaign.
GPM Ground Validation Autonomous Parsivel Unit (APU) OLYMPEX V1
The GPM Ground Validation Autonomous Parsivel Unit (APU) OLYMPEX dataset was collected during the OLYMPEX field campaign held at Washington's Olympic Peninsula during the intense observation period of November 2015 to the end of January 2016. The dataset consists of data collected by 16 APUs. The APU is an optical laser-disdrometer based on single particle extinction that measures particle size and fall velocity. It consists of the Parsivel2 developed by OTT in Germany and supporting hardware developed by University of Alabama. This APU dataset provides precipitation data including precipitation amount, precipitation rate, reflectivity in Rayleigh regime, liquid water content, drop diameter, and drop concentration. Data are available in ASCII format.
GPM Ground Validation Autonomous Parsivel Unit (APU) Wallops Flight Facility (WFF) V1
The GPM Ground Validation Autonomous Parsivel Unit (APU) Wallops Flight Facility (WFF) dataset consists of precipitation data including precipitation amount, precipitation rate, reflectivity in Rayleigh regime, liquid water content, drop diameter, and drop concentration obtained from six Autonomous Parsivel Units (APUs) positioned at the Wallops Flight Facility (WFF) in support of the Global Precipitation Mission (GPM). The APU is an optical laser-disdrometer based on single particle extinction that measures particle size and fall velocity. It consists of the Parsivel2 developed by OTT in Germany and supporting hardware developed by University of Alabama. Data are available in ASCII format for the period of May 6, 2013 through October 9, 2014.
Autonomous Parsivel Unit (APU) IMPACTS
The Autonomous Parsivel Unit (APU) IMPACTS data were collected in support of the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) campaign. The IMPACTS field campaign addressed providing observations critical to understanding the mechanisms of snowband formation, organization, and evolution, examining how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands, and improving snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. This dataset consists of precipitation data including precipitation amount, precipitation rate, reflectivity in Rayleigh regime, liquid water content, drop diameter, and drop concentration. Data are available in ASCII format from January 15, 2020 through February 29, 2020.
Adaptive Sampling of Rain and Ocean Salinity from Autonomous Seagliders (Guam 2019-2020)
This dataset was produced by the Adaptive Sampling of Rain and Ocean Salinity from Autonomous Seagliders (NASA grant NNX17AK07G) project, an investigation to develop tools and strategies to better measure the structure and variability of upper-ocean salinity in rain-dominated environments. From October 2019 to January 2020, three Seagliders were deployed near Guam (14°N 144°E). The Seaglider is an autonomous profiler measuring salinity and temperature in the upper ocean. The three gliders sampled in an adaptive formation to capture the patchiness of the rain and the corresponding oceanic response in real time. The location was chosen because of the likelihood of intense tropical rain events and the availability of a NEXRAD (S-band) rain radar at the Guam Airport. Spacing between gliders varies from 1 to 60 km. Data samples are gridded by profile and on regular depth bins from 0 to 1000 m. The time interval between profiles was about 3 hours, and they are typically about 1.5 km apart. These profiles are available at Level 2 (basic gridding) and Level 3 (despiked and interpolated). All Seaglider data files are in netCDF format with standards compliant metadata. The project was led by a team from the Applied Physics Laboratory at the University of Washington.
Intrinsic and non-cell autonomous roles for a neurodevelopmental syndrome-linked transcription factor
GEO Series GSE314726. Caenorhabditis elegans. 3 samples. Type: Expression profiling by high throughput sequencing.
Autonomous rhythmic activity in glioma networks drives brain tumor growth
GEO Series GSE215365. Homo sapiens. 4 samples. Type: Expression profiling by high throughput sequencing.
Autonomous TGFβ signaling induces phenotypic variation in human acute myeloid leukemia
GEO Series GSE150081. Homo sapiens. 2 samples. Type: Expression profiling by high throughput sequencing.
Mutant Huntingtin promotes neuronal death through cell autonomous microglial activation via myeloid lineage- determining factors
GEO Series GSE54443. Mus musculus. 22 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Loss of cell-autonomously secreted laminin-α2 drives muscle stem cell dysfunction in LAMA2-related muscular dystrophy
GEO Series GSE307443. Homo sapiens. 8 samples. Type: Expression profiling by high throughput sequencing.
Non-Cell-Autonomous Tumor Suppressor Activity of the Homeobox Gene Cdx2 in the Gut
GEO Series GSE89992. Mus musculus. 24 samples. Type: Expression profiling by high throughput sequencing.
In-Flight Human Skeletal Muscle Tissue Chip Autonomous Payload: Validation of Fiber Type and Metabolic Changes Due to Space Flight
GEO Series GSE234465. Homo sapiens. 12 samples. Type: Expression profiling by high throughput sequencing.
Impact of circadian time, feeding-fasting rhythm and the autonomous clock on the transcriptome
GEO Series GSE158600. Mus musculus. 108 samples. Type: Expression profiling by high throughput sequencing.
Cell Autonomous and non-cell autonomous effects of neuronal Bin1 loss in vivo
GEO Series GSE135230. Mus musculus. 25 samples. Type: Expression profiling by high throughput sequencing.
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.