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2,532 results for “at present”
Workshop Presentations: BSCW Analysts
These slides were presented at the AePW, April 21-22, 2012. They detail the analytical results generated by each of the participating analysis teams for the Benchmark Supercritical Wing (BSCW).
Workshop Presentations: HIRENASD Analysts
These slides were presented at the AePW, April 21-22, 2012. They detail the analytical results generated by each of the participating analysis teams for the HIRENASD.
Friedl presentation at CIDU
The land remote sensing community has a long history of using supervised and unsupervised methods to help interpret and analyze remote sensing data sets. Until relatively recently, most remote sensing studies have used fairly conventional image processing and pattern recognition methodologies. In the past decade, NASA has launched a series of remote sensing missions known as the Earth Observing System (EOS). The data sets acquired by EOS instruments provide an extremely rich source of information related to the properties and dynamics of the Earth’s terrestrial ecosystems. However, these data are also characterized by large volumes and complex spectral, spatial and temporal attributes. Because of the volume and complexity of EOS data sets, efficient and effective analysis of them presents significant challenges that are difficult to address using conventional remote sensing approaches. In this paper we discuss results from applying a variety of different data mining approaches to global remote sensing data sets. Specifically, we describe three main problem domains and sets of analyses: (1) supervised classification of global land cover from using data from NASA’s Moderate Resolution Imaging Spectroradiometer; (2) the use of linear and non-linear cluster and dimensionality reduction methods to examine coupled climate-vegetation dynamics using a twenty year time series of data from the Advanced Very High Resolution Radiometer; and (3) the use of functional models, non-parametric clustering, and mixture models to help interpret and understand the feature space and class structure of high dimensional remote sensing data sets. The paper will not focus on specific details of algorithms. Instead we describe key results, successes, and lessons learned from ten years of research focusing on the use of data mining and machine learning methods for remote sensing and Earth science problems.
Plants grown in Apollo lunar regolith present stress-associated transcriptomes that inform prospects for lunar exploration
The extent to which plants can enhance human life support on other worlds depends on the ability of plants to thrive in extraterrestrial environments using in situ resources. Using samples from Apollo 11, 12 and 17, we show that the terrestrial plant Arabidopsis thaliana germinates and grows in diverse lunar regoliths. However, our results show that growth is challenging; the lunar regolith plants were slow to develop, expressed genes indicative of ionic stresses, and many showed severe stress morphologies. Therefore, although in situ lunar regolith can be useful for plant production in lunar habitats, they are not benign substrates. The interaction between plants and lunar regolith will need to be further elucidated, and likely mitigated, to enable efficient use of lunar regolith for life support.
Landsat 7 ETM+ SLC-off (2003-present)
The USGS Earth Resources Observation and Science (EROS) Center archive holds data collected by the Landsat suite of satellites, beginning with Landsat 1 in 1972. All Landsat data held in the USGS EROS archive are available for download at no charge.
A PRECISION MEDICINE APPROACH TO INTERROGATE GENE EXPRESSION PATTERNS IN AFRICAN MEN PRESENTING WITH EARLY STAGE PROSTATE CANCER.
GEO Series GSE157665. Homo sapiens. 67 samples. Type: Expression profiling by high throughput sequencing.
Early cleavage of porcine preimplantation embryos is regulated by tRNAGln-TTG-derived small RNAs present in mature spermatozoa
GEO Series GSE124099. Sus scrofa. 32 samples. Type: Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing.
IRF4, a master transcription factor, regulates genes involved in BCR signaling, antigen processing and presentation, and GC development
GEO Series GSE64270. Homo sapiens. 5 samples. Type: Genome binding/occupancy profiling by genome tiling array; Expression profiling by array.
Induction of autoreactive regulatory T cells through promiscuous gene expression by bone marrow-resident Aire+ antigen-presenting cells
GEO Series GSE136650. Mus musculus. 33 samples. Type: Genome binding/occupancy profiling by high throughput sequencing; Methylation profiling by high throughput sequencing.
Mapping the thymic hematopoietic antigen presenting cell network
GEO Series GSE291388. Mus musculus. 1 samples. Type: Expression profiling by high throughput sequencing.
Single cell profiling of SW480 subtype-specific subcutaneous and orthotopic xenografts (SW480-CBC and SW480-RSC) as presented in "Colorectal Cancer Stem Cell Subtypes Orchestrate Distinct Tumor Microe
GEO Series GSE254890. Mus musculus; Homo sapiens. 14 samples. Type: Expression profiling by high throughput sequencing.
Beyond single-strain models: Genetic background modifies disease presentations and molecular signatures in muscular dystrophy
GEO Series GSE316106. Mus musculus. 24 samples. Type: Expression profiling by high throughput sequencing.
Bivalent chromatin domains in ovarian tumours at initial presentation identify genes predisposed to DNA hypermethylation during acquired resistance to chemotherapy
GEO Series GSE107931. Homo sapiens. 28 samples. Type: Expression profiling by array; Genome binding/occupancy profiling by high throughput sequencing.
ILC2s directly activate anti-tumor cytotoxic CD8+ T lymphocytes by internalizing, processing, and presenting exogenous antigens
GEO Series GSE241945. Mus musculus. 8 samples. Type: Expression profiling by high throughput sequencing.
CD200+ CD8 T Cell Generated through Arginine Deprivation to Activate Macrophage Cross-presentation and Improve Anti-Tumor Immunity [scRNA-Seq]
GEO Series GSE311149. Mus musculus. 2 samples. Type: Expression profiling by high throughput sequencing.
Gene array analysis of human adult lung antigen presenting cells.
GEO Series GSE87494. Homo sapiens. 19 samples. Type: Expression profiling by array.
Cross-presenting CD103+ dendritic cells are protected from influenza virus infection
GEO Series GSE38838. Mus musculus. 4 samples. Type: Expression profiling by high throughput sequencing.
The histone H3 lysine 4 presenter WDR5 induces N-Myc target gene transcription and promotes neuroblastoma [ChIP-Seq]
GEO Series GSE70098. Homo sapiens. 6 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
IFNγ treatment restores TAP-dependent presentation competence of PD-L1 sensitive PDAC cells
GEO Series GSE140397. Mus musculus. 10 samples. Type: Expression profiling by array.
Cross-presentation by dendritic cells is limited by non-canonical autophagy.
GEO Series GSE133945. Mus musculus. 30 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.