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4,107 results for “pointing”
The neuromuscular junction is a focal point of mTORC1 signaling in sarcopenia [TSCmKO data set].
GEO Series GSE139213. Mus musculus. 40 samples. Type: Expression profiling by high throughput sequencing.
Comparison of the effects of GMCSF, IL-4 and 15kDa Granulysin on elutriated monocytes: a 48 hour time point analysis
GEO Series GSE35304. Homo sapiens. 40 samples. Type: Expression profiling by array.
Genome-wide RNAseq of hippocampi from single time point (2 hours post 0.75 mg/mL corticosterone injection) in adrenalectomized rats
GEO Series GSE224038. Rattus norvegicus. 8 samples. Type: Expression profiling by high throughput sequencing.
Exploring the Effects of Experimental Parameters and Data Modeling Approaches on In Vitro Transcriptomic Point-of-Departure Estimates
GEO Series GSE249377. Homo sapiens. 5670 samples. Type: Expression profiling by high throughput sequencing.
Splicing Modulators Act at the Branch Point Adenosine Binding Pocket Defined by the PHF5A-SF3b Complex
GEO Series GSE96917. Homo sapiens. 24 samples. Type: Expression profiling by high throughput sequencing.
DISCOVER-AQ Texas Deployment Smith Point Ground Site Data
DISCOVERAQ_Texas_Ground_SmithPoint_Data contains data collected at the Smith Point ground site during the Texas (Houston) deployment of NASA's DISCOVER-AQ field study. This data product contains data for only the Texas deployment and data collection is complete.Understanding the factors that contribute to near surface pollution is difficult using only satellite-based observations. The incorporation of surface-level measurements from aircraft and ground-based platforms provides the crucial information necessary to validate and expand upon the use of satellites in understanding near surface pollution. Deriving Information on Surface conditions from Column and Vertically Resolved Observations Relevant to Air Quality (DISCOVER-AQ) was a four-year campaign conducted in collaboration between NASA Langley Research Center, NASA Goddard Space Flight Center, NASA Ames Research Center, and multiple universities to improve the use of satellites to monitor air quality for public health and environmental benefit. Through targeted airborne and ground-based observations, DISCOVER-AQ enabled more effective use of current and future satellites to diagnose ground level conditions influencing air quality.DISCOVER-AQ employed two NASA aircraft, the P-3B and King Air, with the P-3B completing in-situ spiral profiling of the atmosphere (aerosol properties, meteorological variables, and trace gas species). The King Air conducted both passive and active remote sensing of the atmospheric column extending below the aircraft to the surface. Data from an existing network of surface air quality monitors, AERONET sun photometers, Pandora UV/vis spectrometers and model simulations were also collected. Further, DISCOVER-AQ employed many surface monitoring sites, with measurements being made on the ground, in conjunction with the aircraft. The B200 and P-3B conducted flights in Baltimore-Washington, D.C. in 2011, Houston, TX in 2013, San Joaquin Valley, CA in 2013, and Denver, CO in 2014. These regions were targeted due to being in violation of the National Ambient Air Quality Standards (NAAQS).The first objective of DISCOVER-AQ was to determine and investigate correlations between surface measurements and satellite column observations for the trace gases ozone (O3), nitrogen dioxide (NO2), and formaldehyde (CH2O) to understand how satellite column observations can diagnose surface conditions. DISCOVER-AQ also had the objective of using surface-level measurements to understand how satellites measure diurnal variability and to understand what factors control diurnal variability. Lastly, DISCOVER-AQ aimed to explore horizontal scales of variability, such as regions with steep gradients and urban plumes.
LAT 2-year Point Source Catalog Aperture Photometry Lightcurves Flares
Due to a glitch in the analysis pipeline there are apparent increases in flux around MJD 56810 for many sources. These increases are *not* real and should be disregarded. The problem is now believed to be fixed, and the most recent flux measurements are expected to be correct. At a later date the light curves will be reprocessed to remove these incorrect data points.
LAT 2-year Point Source Catalog
The Fermi Gamma-ray Space Telescope (Fermi) Large Area Telescope (LAT) is a successor to EGRET, with greatly improved sensitivity, resolution, and energy range. This web page presents the second full catalog of LAT sources, based on the first 24 months of survey data. For a full explanation about the catalog and its construction see the LAT 2-year Catalog Paper (also available on arxiv).
Global Urban Polygons and Points Dataset (GUPPD), Version 1
The Global Urban Polygons and Points Dataset (GUPPD), Version 1 is a global data set of 123,034 urban settlements with place names and population for the years 1975-2030 in five-year increments. The data set builds on and expands the European Commission, Joint Research Centre's (JRC) 2015 Global Human Settlement (GHS) Urban Centre Database (UCDB). The JRC Settlement Model (GHS-SMOD) data set includes a hierarchy of urban settlements, from urban centre (level 30), to dense urban cluster (level 23), to semi-dense urban cluster (level 22). The UCDB only includes level 30, whereas the GUPPDv1 adds levels 23 and 22, and uses open data sources to both check and validate the names that JRC assigned to its UCDB polygons and to label the newly added settlements. The methodology described in the documentation was able to consistently label a greater percentage of UCDB polygons than were previously labeled by JRC.
LAT 2-year Point Source Catalog
The Fermi Gamma-ray Space Telescope (Fermi) Large Area Telescope (LAT) is a successor to EGRET, with greatly improved sensitivity, resolution, and energy range. This web page presents the second full catalog of LAT sources, based on the first 24 months of survey data. For a full explanation about the catalog and its construction see the LAT 2-year Catalog Paper (also available on arxiv).
LAT 2-year Point Source Catalog
The Fermi Gamma-ray Space Telescope (Fermi) Large Area Telescope (LAT) is a successor to EGRET, with greatly improved sensitivity, resolution, and energy range. This web page presents the second full catalog of LAT sources, based on the first 24 months of survey data. For a full explanation about the catalog and its construction see the LAT 2-year Catalog Paper (also available on arxiv).
SCOAPE-II R/V Point Sur Data
SCOAPE2_RVPointSur_Data is the data collected from instruments onboard the University of Southern Mississippi’s Research Vessel (R/V) Point Sur during the Satellite Coastal and Oceanic Atmospheric Pollution Experiment - II (SCOAPE-II). Data was collected by sun photometers, ceilometers, aethalometers, anemometers, and pyranometers. Data collection for this product is complete.The Outer Continental Shelf Lands Act (OCSLA) requires the US Department of Interior Bureau of Ocean Energy Management (BOEM) to ensure compliance with the US National Ambient Air Quality Standard (NAAQS) so that Outer Continental Shelf (OCS) oil and natural gas (ONG) exploration, development, and production do not significantly impact the air quality of any US state. In 2017, BOEM and NASA entered into an interagency agreement to begin a study to scope out the feasibility of BOEM personnel using a suite of NASA and non-NASA resources to assess how pollutants from ONG exploration, development, and production activities affect air quality. An important activity of this interagency agreement was the Satellite Coastal and Oceanic Atmospheric Pollution Experiment (SCOAPE), a field deployment that took place in May 2019, that aimed to assess the capability of satellite observations for monitoring offshore air quality. The outcomes of the study are documented in two BOEM reports (Duncan, 2020; Thompson, 2020).SCOAPE-II was completed in May 2024 as a follow-on to SCOAPE-I. The primary objectives of SCOAPE-II were to collect shipboard in-situ data and learn more about plumes from oil and gas in the Gulf of America; and conduct validation of NO2 columns from the TEMPO instrument and assess the feasibility of using hourly scans for monitoring air quality. SCOAPE-II also introduced an aircraft component to support comparisons with in-situ and satellite observations. Flights with the AVIRIS-3 instrument were conducted during the primary campaign period, targeting methane column enhancements. A separate flight period occurred in October 2024 to conduct observations of NO2 plumes at deep water targets utilizing the Geostationary Coastal and Air Pollution Event (GEO-CAPE) Airborne Simulator (GCAS) instrument.To address BOEM’s goals, the SCOAPE science team conducted surface-based remote sensing and in-situ measurements, which enabled a systematic assessment of the application of satellite observations, primarily NO2, for monitoring air quality. The SCOAPE field measurements consisted of onshore ground sites, including in the vicinity of the Louisiana Universities Marine Consortium (LUMCON; Cocodrie, LA), as well as those from University of Southern Mississippi’s Research Vessel (R/V) Point Sur, which cruised in the Gulf of America from 10-18 May 2019. Based on the 2014 and 2017 BOEM emissions inventories as well as daily air quality and meteorological forecasts, the cruise track was designed to sample both areas with large oil drilling platforms and areas with dense small natural gas facilities. The R/V Point Sur was instrumented to carry out both remote sensing and in-situ measurements of NO2 and O3 along with in-situ CH4, CO2, CO, and VOC tracers which allowed detailed characterization of airmass type and emissions. In addition, there were also measurements of multi-wavelength AOD and black carbon as well as planetary boundary layer structure and meteorological variables, including surface temperature, humidity, and winds. A ship-based spectrometer instrument provided remotely-sensed total column amounts of NO2 and O3 for direct comparison with satellite measurements. Ozonesondes and radiosondes were also launched 1-3 times daily from the R/V Point Sur to provide O3 and meteorological vertical profile observations. The ground-based observations, primarily at LUMCON, included spectrometer-measured column NO2 and O3, in-situ NO2, VOCs, and planetary boundary layer structure. A NO2sonde was also mounted on a vehicle with the goal to detect pollution onshore from offshore ONG activities during onshore flow; data were collected along coastal Louisiana from Burns Point Park to Grand Isle to the tip of the Mississippi River delta. The in-situ measurements were reported in ICARTT files or Excel files. The remote sensing data are in either HDF or netCDF files.
LAT 2-year Point Source Catalog
The Fermi Gamma-ray Space Telescope (Fermi) Large Area Telescope (LAT) is a successor to EGRET, with greatly improved sensitivity, resolution, and energy range. This web page presents the second full catalog of LAT sources, based on the first 24 months of survey data. For a full explanation about the catalog and its construction see the LAT 2-year Catalog Paper (also available on arxiv).
LAT 2-year Point Source Catalog Aperture Photometry Lightcurves
Due to a glitch in the analysis pipeline there are apparent increases in flux around MJD 56810 for many sources. These increases are *not* real and should be disregarded. The problem is now believed to be fixed, and the most recent flux measurements are expected to be correct. At a later date the light curves will be reprocessed to remove these incorrect data points.
U.S. EPA National Priorities List (NPL) Sites Point Data with CIESIN Modifications, Version 2
The U.S. Environmental Protection Agency (EPA) National Priorities List (NPL) Sites Point Data with CIESIN Modifications, Version 2 is a modified version of the 2014 EPA NPL list. It includes all the sites that are proposed, currently on, or deleted from the Final NPL as of February 27, 2014. CIESIN has fixed eleven of the original coordinates by correcting latitude or longitude coordinates. It contains the point locations, including the eleven corrections, for 1,747 U.S. hazardous waste sites on the National Priorities List (NPL) of EPA's Comprehensive Environmental Response, Compensation, and Liability Information System (CERCLIS) for the fifty states, Puerto Rico, and 4 other territorial areas plus the now independent Palau, Federated States of Micronesia. The sites in CERCLIS are also known as Superfund Sites. The NPL is intended primarily to guide the EPA in determining which sites warrant further investigation.
Global Rural-Urban Mapping Project, Version 1 (GRUMPv1): Settlement Points
The Global Rural-Urban Mapping Project, Version 1 (GRUMPv1): Settlement Points contains geospatial location for selected settlements. This data set is produced by the Columbia University Center for International Earth Science Information Network (CIESIN) in collaboration with the International Food Policy Research Institute (IFPRI), The World Bank, and Centro Internacional de Agricultura Tropical (CIAT).
Ground-Based Satellite Laser Ranging (SLR) Observation Data (normal points, daily, 24 hour files) from NASA CDDIS
This dataset consists of ground-based Satellite Laser Ranging observation data (normal points, daily 24 hour files) from the NASA Crustal Dynamics Data Information System (CDDIS). SLR provides unambiguous range measurements to mm precision that can be aggregated over the global network to provide very accurate satellite orbits, time histories of station position and motion, and many other geophysical parameters. SLR operates in the optical region and is the only space geodetic technique that measures unambiguous range directly. Analysis of SLR data contributes to the terrestrial reference frame, modeling of the spatial and temporal variations of the Earth's gravitational field, and monitoring of millimeter-level variations in the location of the center of mass of the total Earth system (solid Earth-atmosphere-oceans). In addition, SLR provides precise orbit determination for spaceborne radar altimeter missions. It provides a means for sub-nanosecond global time transfer, and a basis for special tests of the Theory of General Relativity. Analysis Centers (ACs) of the International Laser Ranging Service (ILRS) retrieve SLR data on regular schedules to produce precise station positions and velocities for stations in the ILRS network. The daily SLR normal point observation files contain data received in the previous 24-hour period from a global network of stations ranging to satellites equipped with retroreflectors. Data are available in ILRS data format (older data sets) and/or the Consolidated Ranging Data (CRD) format. More information about these data is available on the CDDIS website at https://cddis.nasa.gov/Data_and_Derived_Products/SLR/Normal_point_data.html.
Ground-Based Satellite Laser Ranging (SLR) Observation Data Summary (normal points, monthly files) from NASA CDDIS
This dataset consists of ground-based Satellite Laser Ranging observation data summary (normal points, monthly files) from the NASA Crustal Dynamics Data Information System (CDDIS). SLR provides unambiguous range measurements to mm precision that can be aggregated over the global network to provide very accurate satellite orbits, time histories of station position and motion, and many other geophysical parameters. SLR operates in the optical region and is the only space geodetic technique that measures unambiguous range directly. Analysis of SLR data contributes to the terrestrial reference frame, modeling of the spatial and temporal variations of the Earth's gravitational field, and monitoring of millimeter-level variations in the location of the center of mass of the total Earth system (solid Earth-atmosphere-oceans). In addition, SLR provides precise orbit determination for spaceborne radar altimeter missions. It provides a means for sub-nanosecond global time transfer, and a basis for special tests of the Theory of General Relativity. Analysis Centers (ACs) of the International Laser Ranging Service (ILRS) retrieve SLR data on regular schedules to produce precise station positions and velocities for stations in the ILRS network. The monthly SLR normal point observation summary files report on one month of SLR data from a global network of stations ranging to satellites equipped with retroreflectors. Data are available in ILRS data format (older data sets) and/or the Consolidated Ranging Data (CRD) format. More information about these data is available on the CDDIS website at https://cddis.nasa.gov/Data_and_Derived_Products/SLR/Normal_point_data.html.
Fermi FT2 Spacecraft Pointing Files
This utility permits you to download the most current version of the spacecraft (FT2) file predicting the LAT's pointing for a given mission week. The FT2 file is a FITS-formatted file describing Fermi's position and orientation, and thus the LAT's pointing, as a function of time. The FT2 files available here are created in planning Fermi's timeline, and thus provide the observatory's predicted pointing for a given mission week. Files with the string 'PRELIM' in the filename are produced approximately three weeks in advance, while files with 'FINAL' in the filename describe the timeline that will be uploaded to the spacecraft; thus you should use the latter if available. Note that the actual LAT pointing may differ from the predicted as a result of Target-of-Opportunity observations or Autonomous Repoints in response to a bright gamma-ray burst.
Global Rural-Urban Mapping Project, Version 1 (GRUMPv1): Settlement Points, Revision 01
The Global Rural-Urban Mapping Project, Version 1 (GRUMPv1): Settlement Points, Revision 01 is an updated version of the Settlement Points, Version 1 (v1) used in the original population reallocation. Revision 01 includes improved geospatial location for selected settlements, as well as new georeferenced settlements. Revision 01 was produced by the Columbia University Center for International Earth Science Information Network (CIESIN) in collaboration with the CUNY Institute for Demographic Research (CIDR).
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.