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3,225
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3,225 results for “Case of study”
Gene expression changes in lymphocytes and monocytes from patients with traumatic brain injury: A prospective case-control study
GEO Series GSE314947. Homo sapiens. 9 samples. Type: Expression profiling by high throughput sequencing.
MISR Derived Case Study Data for Kilauea Volcanic Eruptions Including Geometric Plume Height and Qualitative Radiometric Particle Property Information
The KILVOLC_FlowerKahn2021_1 dataset is the MISR Derived Case Study Data for Kilauea Volcanic Eruptions Including Geometric Plume Height and Qualitative Radiometric Particle Property Information version 1 dataset. It comprises MISR-derived output from a comprehensive analysis of Kilauea volcanic eruptions (2000-2018). Data collection for this dataset is complete. The data presented here are analyzed and discussed in the following paper: Flower, V.J.B., and R.A. Kahn, 2021. Twenty years of NASA-EOS multi-sensor satellite observations at Kīlauea volcano (2000-2019). J. Volc. Geo. Res. (in press).The data is subdivided by date and MISR orbit number. Within each case folder, there are up to 11 files relating to an individual MISR overpass. Files include plume height records (from both the red and blue spectral bands) derived from the MISR INteractive eXplorer (MINX) program, displayed in: map view, downwind profile plot (along with the associated wind vectors retrieved at plume elevation), a histogram of retrieved plume heights and a text file containing the digital plume height values. An additional JPG is included delineating the plume analysis region, start point for assessing downwind distance, and input wind direction used to initialize the MINX retrieval. A final two files are generated from the MISR Research Aerosol (RA) retrieval algorithm (Limbacher, J.A., and R.A. Kahn, 2014. MISR Research-Aerosol-Algorithm: Refinements For Dark Water Retrievals. Atm. Meas. Tech. 7, 1-19, doi:10.5194/amt-7-1-2014). These files include the RA model output in HDF5, and an associated JPG of key derived variables (e.g. Aerosol Optical Depth, Angstrom Exponent, Single Scattering Albedo, Fraction of Non-Spherical components, model uncertainty classifications and example camera views). File numbers per folder vary depending on the retrieval conditions of specific observations. RA plume retrievals are limited when cloud cover was widespread or the solar radiance was insufficient to run the RA. In these cases the RA files are not included in the individual folders. In cases where activity was observed from multiple volcanic zones in a single overpass, individual folders containing data relating to a single region, are included, and defined by a qualifier (e.g. '_1').
GPM GROUND VALIDATION GCPEX SNOW MICROPHYSICS CASE STUDY V1
The GPM Ground Validation GCPEX Snow Microphysics Case Study characterizes the 3-D microphysical evolution and distribution of snow in context of the thermodynamic environment observed during the February 24th, 2012 event of the GPM Cold-season Precipitation Experiment (GCPEx). The GPM Cold-season Precipitation Experiment occurred in Ontario, Canada during the winter season of 2011-2012. GCPEx addressed shortcomings in the GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of snow. This case study includes data from the Airborne Second Generation Precipitation Radar (APR-2), Dual-frequency Dual-polarized Doppler Radar (D3R), Dual Polarization Radiometer and the NCAR Cloud Microphysics Particle Probes.
Thermosphere-Ionosphere Modeling with Forecastable Inputs: Case Study of the June 2012 High Speed Stream Geomagnetic Storm
This is the companion dataset for the Journal paper ”Thermosphere-Ionosphere Modeling With Forecastable Inputs: Case Study of the June 2012 High Speed Stream Geomagnetic Storm” (under review). The dataset contains raw outputs from a global ionosphere-thermosphere model for a geomagnetic storm events. The outputs are in IDL binary format, containing the model solution of the total electron content, the magnetic field, density, velocity, and temperature for neutral and ion species. The outputs are analyzed in the paper to evaluate the forecast capability of the model.
Poverty Mapping Project: Poverty and Food Security Case Studies
The Poverty Mapping Project: Poverty and Food Security Case Studies data set consists of small area estimates of poverty, inequality, food security and related measures for subnational administrative Units in Mexico, Ecuador, Kenya, Malawi, Bangladesh, Sri Lanka, Nigeria and Vietnam. These data come from country level cases studies that examine poverty and food security from a spatial analysis perspective. The data products include shapefiles (vector data) and tabular data sets (csv format). Additionally, a data catalog (xls format) containing detailed information and documentation is provided. This data set is produced by the Columbia University Center for International Earth Science Information Network (CIESIN) and Centro Internacional de Agricultura Tropical (CIAT). The data set was originally produced by CIAT, International Maize and Wheat Improvement Center (CIMMYT), International Livestock Research Institute (ILRI), International Food Policy Research Institute (IFPRI), International Rice Research Institute (IRRI), International Water Management Institute (IWMI), and International Institute for Tropical Agriculture (IITA).
MISR Derived Case Study Data for Iceland Volcanic Eruptions (Eyjafjallajokull, Grimsvotn, Holuhraun) Including Geometric Plume Height and Qualitative Radiometric Particle Property Information
This dataset comprises MISR-derived output from a comprehensive analysis of Icelandic volcano eruptions (Eyjafjallajokull 2010, Grimsvotn 2011, Holuhraun 2014-2015). The data presented here are analyzed and discussed in the following paper: Flower, V.J.B., and R.A. Kahn, 2020. The evolution of Icelandic volcano emissions, as observed from space in the era of NASA’s Earth Observing System (EOS). J. Geophys. Res. Atmosph. (in press).The data is subdivided by volcano of origin, date and MISR orbit number. Within each case folder there are up to 11 files relating to an individual MISR overpass. Files include plume height records (from both the red and blue spectral bands) derived from the MISR INteractive eXplorer (MINX) program, displayed in: map view, downwind profile plot (along with the associated wind vectors retrieved at plume elevation), a histogram of retrieved plume heights and a text file containing the digital plume height values. An additional JPG is included delineating the plume analysis region, start point for assessing downwind distance, and input wind direction used to initialize the MINX retrieval. A final two files are generated from the MISR Research Aerosol (RA) retrieval algorithm (Limbacher, J.A., and R.A. Kahn, 2014. MISR Research-Aerosol-Algorithm: Refinements For Dark Water Retrievals. Atm. Meas. Tech. 7, 1-19, doi:10.5194/amt-7-1-2014). These files include the RA model output in HDF5, and an associated JPG of key derived variables (e.g. Aerosol Optical Depth, Angstrom Exponent, Single Scattering Albedo, Fraction of Non-Spherical components, model uncertainty classifications and example camera views). File numbers per folder vary depending on the retrieval conditions of specific observations. RA plume retrievals are limited when cloud cover was widespread or the solar radiance was insufficient to run the RA. In these cases the RA files are not included in the individual folders.
Intelligent Temporal Data Driven World Actuation in Ambient Environments Case Study: Anomaly Recognition and Assistance Provision in Smart Home
Abstract — A possible resident of smart home is an old person or an Alzheimer patient that should be assisted continuously for the rest of his life; however, normally this person desires to live independently at home. Typically, this person may forget sometimes completion of the activities; may realize the activities of daily living incorrectly, and may enter to dangerous states. In this context smart home project is proposed as an ambient intelligent environment, in which on one hand the resident is observed continuously through the embedded sensors, and on the other hand the resident is assisted automatically through the embedded electronically controllable actuators. In this work, we propose an approach to interpret the sensors’ observations and how to automatically reason in the required assistance. The result is provision of automated assistance for the smart home resident.
Phytochemical variations in medicinal herbs affecting bioefficacy: Equisetum arvense extracts in the global market place as a case study
GEO Series GSE24888. Schizosaccharomyces pombe; Saccharomyces cerevisiae. 18 samples. Type: Expression profiling by array.
Glioma-propagating cells as an in vitro screening platform: PLK1 as a case study
GEO Series GSE36782. Homo sapiens. 22 samples. Type: Expression profiling by array.
RNA-seq studies of Rhinovirus Response in asthma cases and non-asthma controls
GEO Series GSE152547. Homo sapiens. 108 samples. Type: Expression profiling by high throughput sequencing.
Concordance of deregulated mechanisms unveiled in underpowered experiments: PTBP1 knockdown case study
GEO Series GSE52493. Homo sapiens. 24 samples. Type: Expression profiling by array.
Longitudinal Saliva Omics Responses to Immune Perturbation: A Case Study [Saliva RNA-sequencing]
GEO Series GSE108664. Homo sapiens. 100 samples. Type: Expression profiling by high throughput sequencing.
In vitro methylation studies in human fibroblasts from progeria cases
GEO Series GSE200152. Homo sapiens. 16 samples. Type: Methylation profiling by array.
Host blood-based biosignatures for subclinical TB: a prospective study of household contacts of adult pulmonary TB index cases in Southern India.
GEO Series GSE193777. Homo sapiens. 144 samples. Type: Expression profiling by high throughput sequencing.
A nested case-control study to investigate drivers for metastatic disease in breast cancer
GEO Series GSE48091. Homo sapiens. 623 samples. Type: Expression profiling by array.
Molecular signature of metastatic cutaneous squamous cell carcinomas: a case-control study
GEO Series GSE253980. Homo sapiens. 48 samples. Type: Expression profiling by array.
Deciphering glial contributions to CSF1R-related leukoencephalopathy via single-nuclear transcriptomic profiling: A case study
GEO Series GSE267301. Homo sapiens. 12 samples. Type: Expression profiling by high throughput sequencing.
Gene expression profiling in AML with normal karyotype: A multicenter study investigating molecular markers in 251 cases
GEO Series GSE15434. Homo sapiens. 251 samples. Type: Expression profiling by array.
Gene expression profiling via LongSAGE in a non-model plant species: A case study in seeds of Brassica napus
GEO Series GSE14313. Brassica napus. 2 samples. Type: Expression profiling by SAGE.
Circulating miRNAs in obese heart failure patients: Case control study
GEO Series GSE288767. synthetic construct; Homo sapiens. 30 samples. Type: Non-coding RNA profiling by array.
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.