Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
1,140
datasets available to search
ShareScore release 0.9.0
Dataset results
1,140 results for “TOPS”
MISR Level 3 Cloud Top Height-Optical Depth Product covering a quarter (seasonal) V001
Multi-angle Imaging SpectroRadiometer (MISR) is designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successfully imaged by all nine cameras in 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth's environment and distinguish different types of clouds, particles, and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. This file contains the public MISR Level 3 CloudTopHeight-OpticalDepth Product covering a quarter (seasonal).
NOAA-11 AVHRR Top-of-Atmosphere Reflectance Daily L3 Global 0.05 Deg. CMG
The Long-Term Data Record (LTDR) produces, validates, and distributes a global land surface climate data record (CDR) that uses both mature and well-tested algorithms in concert with the best-available polar-orbiting satellite data from past to the present. The CDR is critically important to studying global climate change. The LTDR project is unique in that it serves as a bridge that connects data derived from the NOAA Advanced Very High Resolution Radiometer (AVHRR), the EOS Moderate resolution Imaging Spectroradiometer (MODIS), the Suomi National Polar-orbiting Partnership (SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS), and Joint Polar Satellite System (JPSS) VIIRS missions. The LTDR draws from the following eight AVHRR missions: NOAA-7, NOAA-9, NOAA-11, NOAA-14, NOAA-16, NOAA-18, NOAA-19, and MetOp-B.Currently, the project generates a daily surface reflectance product as the fundamental climate data record (FCDR) and derives daily Normalized Differential Vegetation Index (NDVI) and Leaf-Area Index/fraction of absorbed Photosynthetically Active Radiation (LAI/fPAR) as two thematic CDRs (TCDR). LAI/fPAR was developed as an experimental product.The NOAA-11 AVHRR Top-of-Atmosphere Reflectance Daily L3 Global 0.05 Deg. CMG, short-name N11_AVH02C1 is generated from GIMMS Advanced Processing System (GAPS) BRDF-corrected Surface Reflectance product (AVH01C1). The N11_AVH02C1 consist of Top-of-atmosphere reflectance for bands 1 and 2, data Quality flags, angles (solar zenith, view zenith, and relative azimuth), thermal data (thermal bands 3, 4 and 5), and additional data (scan time).
MISR Level 3 Cloud Top Height-Optical Depth Product covering a year V001
MIL3YCOD_1 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 3 Cloud Top Height-Optical Depth Product covering a year version 1. MISR is designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all nine cameras in 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth's environment and distinguish different types of clouds, particles, and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.
MISR Level 3 Cloud Top Height-Optical Depth Product covering a day V001
Multi-angle Imaging SpectroRadiometer (MISR) is designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successfully imaged by all nine cameras in 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth's environment and distinguish different types of clouds, particles, and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. This file contains the public MISR Level 3 Cloud Top Height-Optical Depth Product covering a day.
NOAA-07 AVHRR Top-of-Atmosphere Reflectance Daily L3 Global 0.05 Deg. CMG
The Long-Term Data Record (LTDR) produces, validates, and distributes a global land surface climate data record (CDR) that uses both mature and well-tested algorithms in concert with the best-available polar-orbiting satellite data from past to the present. The CDR is critically important to studying global climate change. The LTDR project is unique in that it serves as a bridge that connects data derived from the NOAA Advanced Very High Resolution Radiometer (AVHRR), the EOS Moderate resolution Imaging Spectroradiometer (MODIS), the Suomi National Polar-orbiting Partnership (SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS), and Joint Polar Satellite System (JPSS) VIIRS missions. The LTDR draws from the following eight AVHRR missions: NOAA-7, NOAA-9, NOAA-11, NOAA-14, NOAA-16, NOAA-18, NOAA-19, and MetOp-B.Currently, the project generates a daily surface reflectance product as the fundamental climate data record (FCDR) and derives daily Normalized Differential Vegetation Index (NDVI) and Leaf-Area Index/fraction of absorbed Photosynthetically Active Radiation (LAI/fPAR) as two thematic CDRs (TCDR). LAI/fPAR was developed as an experimental product.The NOAA-07 AVHRR Top-of-Atmosphere Reflectance Daily L3 Global 0.05 Deg. CMG, short-name N07_AVH02C1 is generated from GIMMS Advanced Processing System (GAPS) BRDF-corrected Surface Reflectance product (AVH01C1). The N07_AVH02C1 consist of Top-of-atmosphere reflectance for bands 1 and 2, data Quality flags, angles (solar zenith, view zenith, and relative azimuth), thermal data (thermal bands 3, 4 and 5), and additional data (scan time).
Last of the Wild Project, Version 1, 2002 (LWP-1): Top One Percent Wild Areas Dataset (IGHP)
The Top One Percent Wild Areas Dataset of the Last of the Wild Project, Version 1, 2002 (LWP-1) is derived from the LWP-1 Human Footprint Dataset. The gridded data are classified according to their raster value (wild = 0-1; not wild >1). The top 1% of the wild areas within each biome by realm are selected and identified. The dataset in Interrupted Goode Homolosine Projection (IGHP) is produced by the Wildlife Conservation Society (WCS) and Columbia University Center for International Earth Science Information Network (CIESIN).
NOAA-14 AVHRR Top-of-Atmosphere Reflectance Daily L3 Global 0.05 Deg. CMG
The Long-Term Data Record (LTDR) produces, validates, and distributes a global land surface climate data record (CDR) that uses both mature and well-tested algorithms in concert with the best-available polar-orbiting satellite data from past to the present. The CDR is critically important to studying global climate change. The LTDR project is unique in that it serves as a bridge that connects data derived from the NOAA Advanced Very High Resolution Radiometer (AVHRR), the EOS Moderate resolution Imaging Spectroradiometer (MODIS), the Suomi National Polar-orbiting Partnership (SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS), and Joint Polar Satellite System (JPSS) VIIRS missions. The LTDR draws from the following eight AVHRR missions: NOAA-7, NOAA-9, NOAA-11, NOAA-14, NOAA-16, NOAA-18, NOAA-19, and MetOp-B.Currently, the project generates a daily surface reflectance product as the fundamental climate data record (FCDR) and derives daily Normalized Differential Vegetation Index (NDVI) and Leaf-Area Index/fraction of absorbed Photosynthetically Active Radiation (LAI/fPAR) as two thematic CDRs (TCDR). LAI/fPAR was developed as an experimental product.The NOAA-14 AVHRR Top-of-Atmosphere Reflectance Daily L3 Global 0.05Deg CMG, short-name N14_AVH02C1 is generated from GIMMS Advanced Processing System (GAPS) BRDF-corrected Surface Reflectance product (AVH01C1). The N14_AVH02C1 consist of Top-of-atmosphere reflectance for bands 1 and 2, data Quality flags, angles (solar zenith, view zenith, and relative azimuth), thermal data (thermal bands 3, 4 and 5), and additional data (scan time).
Hurricane and Severe Storm Sentinel (HS3) Cooperative Institute for Meteorological Satellite Studies (CIMSS) Tropical Overshooting Tops V1
The Hurricane and Severe Storm Sentinel (HS3) Cooperative Institute for Meteorological Satellite Studies (CIMSS) Tropical Overshooting Tops dataset contains browse only data showing tropical overshooting tops derived from METEOSAT and GOES satellites for the Hurricane and Severe Storm sentinel (HS3) field campaign. Goals for the HS3 field campaign included assessing the relative roles of large-scale environment and storm-scale internal processes, addressing the controversial role of the Saharan Air Layer (SAL) in tropical storm formation and intensification, and the role of deep convection in the inner-core region of storms. The browse only data files are available for dates between August 14, 2014 and October 3, 2014 at 15 minutes intervals in KML format.
GRIP GOES 13 OVERSHOOTING TOP V1
The GRIP GOES 13 Overshooting Top dataset was produced during the GRIP Field Experiment for use with the Real Time Mission Monitor (RTMM) tool. The major goal was to better understand how tropical storms form and develop into major hurricanes. The magnitude of each overshooting top is the difference between the 'anvil' temperature and the 'overshooting top' temperature. These magnitudess are represented as a color coded display using Google Earth, a virtual globe, map and geographical information program.
Last of the Wild Project, Version 1, 2002 (LWP-1): Top One Percent Wild Areas Dataset (Geographic)
The Top One Percent Wild Areas Dataset of the Last of the Wild Project, Version 1, 2002 (LWP-1) is derived from the LWP-1 Human Footprint Dataset. The gridded data are classified according to their raster value (wild = 0-1; not wild >1). The top 1% of the wild areas within each biome by realm are selected and identified. The dataset in Clarke 1866 Geographic Coordinate System is produced by the Wildlife Conservation Society (WCS) and the Columbia University Center for International Earth Science Information Network (CIESIN).
NOAA-16 AVHRR Top-of-Atmosphere Reflectance Daily L3 Global 0.05Deg CMG
The Long-Term Data Record (LTDR) produces, validates, and distributes a global land surface climate data record (CDR) that uses both mature and well-tested algorithms in concert with the best-available polar-orbiting satellite data from past to the present. The CDR is critically important to studying global climate change. The LTDR project is unique in that it serves as a bridge that connects data derived from the NOAA Advanced Very High Resolution Radiometer (AVHRR), the EOS Moderate resolution Imaging Spectroradiometer (MODIS), the Suomi National Polar-orbiting Partnership (SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS), and Joint Polar Satellite System (JPSS) VIIRS missions. The LTDR draws from the following eight AVHRR missions: NOAA-7, NOAA-9, NOAA-11, NOAA-14, NOAA-16, NOAA-18, NOAA-19, and MetOp-B.Currently, the project generates a daily surface reflectance product as the fundamental climate data record (FCDR) and derives daily Normalized Differential Vegetation Index (NDVI) and Leaf-Area Index/fraction of absorbed Photosynthetically Active Radiation (LAI/fPAR) as two thematic CDRs (TCDR). LAI/fPAR was developed as an experimental product.The NOAA-16 AVHRR Top-of-Atmosphere Reflectance Daily L3 Global 0.05Deg CMG, short-name N16_ AVH02C1 is generated from GIMMS Advanced Processing System (GAPS) BRDF-corrected Surface Reflectance product (AVH01C1). The N16_ AVH02C1 consist of Top-of-atmosphere reflectance for bands 1 and 2, data Quality flags, angles (solar zenith, view zenith, and relative azimuth), thermal data (thermal bands 3, 4 and 5), and additional data (scan time).
The global downregulation of protein synthesis observed during hepatogenic maturation is associated with a decrease in TOP mRNA translation
GEO Series GSE173106. Homo sapiens. 30 samples. Type: Expression profiling by high throughput sequencing; Other.
Normal colon top vs colon crypts
GEO Series GSE6894. Homo sapiens. 18 samples. Type: Expression profiling by array.
Single-Cell Multiomics Reveals Distinct Cell States at the Top of the Human Hematopoietic Hierarchy [scATAC-seq]
GEO Series GSE173075. Homo sapiens. 10 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Tethered Oligonucleotide-Primed sequencing (TOP-seq): a high resolution economical approach for DNA epigenome profiling
GEO Series GSE91023. Homo sapiens. 19 samples. Type: Methylation profiling by high throughput sequencing.
Survival and Diversity of Human Homologous Dietary MicroRNAs in Conventionally Cooked Top Sirloin and Dried Bovine Tissue Extracts
GEO Series GSE69874. Bos taurus. 24 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Expression data from TOP-GFP sorted colon cancer cells
GEO Series GSE32408. Homo sapiens. 10 samples. Type: Expression profiling by array.
Transport of DNA within cohesin involves clamping on top of engaged heads by Scc2 and entrapment within the ring by Scc3
GEO Series GSE156616. Nakaseomyces glabratus; Saccharomyces cerevisiae. 28 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
A Top-down Systems Analysis Identifies an Innate Feed-forward Inflammatory Circuit Leading to Lethal Influenza Infection
GEO Series GSE42641. Mus musculus. 255 samples. Type: Expression profiling by array.
Distribution. NW & N Australia, in Western Australia (Pilbara and Kimberley bioregions), Northern Territory in the Top End, S of Gulf of Carpentaria, and Gulf Fall and Uplands bioregion, and Queensland E to N Mount Isa Inlier and W Gulf Plains bioregions; also on Hook I off coast of Queensland and several small offshore islands off coasts of Western Australia and Northern Territory. in Emballonuridae
Distribution. NW & N Australia, in Western Australia (Pilbara and Kimberley bioregions), Northern Territory in the Top End, S of Gulf of Carpentaria, and Gulf Fall and Uplands bioregion, and Queensland E to N Mount Isa Inlier and W Gulf Plains bioregions; also on Hook I off coast of Queensland and several small offshore islands off coasts of Western Australia and Northern Territory.
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.