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Dataset results
99 results for “High spatial resolution”
HiTIC-Monthly: A Monthly High Spatial Resolution (1 km) Human Thermal Index Collection over China during 2003–2020 [GeoTIFF]
<p>The monthly <strong>Hi</strong>gh spatial resolution human <strong>T</strong>hermal <strong>I</strong>ndex <strong>C</strong>ollection (<strong>HiTIC-Monthly</strong>) includes <strong><em>near-surface air temperature</em> </strong>(SAT) and 11 commonly used<strong> <em>human-perceived temperature</em> </strong>indices: indoor Apparent Temperature (AT<sub>in</sub>), outdoor shaded Apparent Temperature (AT<sub>out</sub>), Discomfort Index (DI), Effective Temperature (ET), Heat Index (HI), Humidex (HMI), Modified Discomfort Index (MDI), Net Effective Temperature (NET), simplified Wet Bulb Globe Temperature (sWBGT), Wet-Bulb Temperature (WBT), and Wind Chill Temperature (WCT). This dataset has a high spatial resolution of 1 km × 1 km and covers mainland China from January 2003 to December 2020. The overall R-square, root mean square error, and mean absolute error of the 12 thermal indices in the HiTIC dataset are 0.996, 0.693°C, and 0.512°C, respectively. It is compressed by year, and each zip package is composed of 12 monthly images in the<strong> GeoTIFF format</strong>. The unit of the dataset is 0.01 degree Celsius (°C), and the values are stored in an integer type (Int16) for saving storage space, and need to be divided by 100 to get the values in degree Celcius when in use. The projection coordinate system of the dataset is Albers Equal Area Conic Projection. The naming rule and other detailed information can be found in “README.pdf”.</p> <p>If you have any questions when using the HiTIC-Monthly dataset, please feel free to contact Miss Hui Zhang via <a href="mailto:zhangh573@mail2.sysu.edu.cn">zhangh573@mail2.sysu.edu.cn</a>, Dr. Ming Luo via <a href="mailto:luom38@mail.sysu.edu.cn">luom38@mail.sysu.edu.cn</a>, or Dr. Yongquan Zhao via <a href="mailto:yqzhao@link.cuhk.edu.hk">zhaoyq66@mail.sysu.edu.cn</a>. More details on the procedure of producing the HiTIC-Monthly dataset and its accuracy assessment can be found in:</p> <p>Zhang, H., Luo, M., Zhao, Y., Lin, L., Ge, E., Yang, Y., Ning, G., Cong, J., Zeng, Z., Gui, K., Li, J., Chan, T. O., Li, X., Wu, S., Wang, P., and Wang, X.: HiTIC-Monthly: a monthly high spatial resolution (1 km) human thermal index collection over China during 2003–2020, Earth Syst. Sci. Data, 15, 359–381, https://doi.org/10.5194/essd-15-359-2023, 2023.</p>
A high spatial resolution dataset for methylmercury exposure in Guangdong-Hong Kong-Macao Greater Bay Area
<p>This database describes the gridded dietary MeHg exposure of the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) from 2009 to 2019 at the resolution of 1 km×1 km. The dataset classifies the gridded data on dietary MeHg exposure into three parts (i.e., the Pearl River Delta, Hong Kong, and Macao). The data files are in tif format and named based on the years.</p>
Data from: Oscillayers: a dataset for the study of climatic oscillations over Plio-Pleistocene time scales at high spatial-temporal resolution
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High spatial resolution mapping identifies habitat characteristics of the invasive vine Antigonon leptopus on St. Eustatius (Lesser Antilles)
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Data from: High resolution spatial mapping of human footprint across Antarctica and its implications for the strategic conservation of avifauna
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Data from: Spatially consistent high-resolution land surface temperature mosaics for thermophysical mapping of the Mojave Desert
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Data from: Analysing small insect glands with UV-LDI MS: high-resolution spatial analysis reveals the chemical composition and use of the osmeterium secretion in Themira superba (Sepsidae: Diptera)
For many insect species, pheromones are important communication tools, but chemical analysis and experimental study can be technically challenging because they require the detection and handling of complex chemicals in small quantities. One drawback of traditional mass spectrometry methods such as gas chromatography mass spectrometry is that whole-body extractions from one to several hundred individuals are required, with the consequence that intra- and interindividual differences cannot be detected. Here, we used the recently introduced UV-LDI MS (ultraviolet laser desorption/ionization mass spectrometry) to profile the 'osmeterium' of the sepsid fly Themira superba that is located on the edge of the hind tibia of males. Based on analyses of individual legs, we established that the gland produced a secretion that consisted of oxygenated hydrocarbons and putative isoprenoids. The secretion was first detected 24 h after eclosion, and its transfer to the wings of females during mating was demonstrated using UV-LDI MS. We then tested whether the secretion had an anti-aphrodisiac function, but experimental transfer of the secretion to virgin females did not affect mating success or copulation duration. Throughout the study, UV-LDI MS proved invaluable, because it allowed tracking the natural and experimental transfer of small quantities of pheromones to specific body parts of small flies.
Data and code for "High-resolution spatial patterns and drivers of terrestrial ecosystem carbon dioxide, methane, and nitrous oxide fluxes in the tundra"
<p><strong>Repository structure</strong></p> <p>The zipped folder includes the following subfolders:</p> <p><em>data</em></p> <p>In-situ measurement data from the plots. Remotely-sensed data could not be included in the repository due to their large size. </p> <p><em>src</em></p> <p>R codes to reproduce the data cleaning, prosessing, and statistical analysis steps.</p> <p><em>results</em></p> <p>Model parameters, performance statistics, model files, figures, edited tables together with some summary tables produces from upscaling results.</p> <p><em>raster data and upscaled results</em></p> <p>Averaged flux, soil moisture and temperature maps for the growing season (July 1-August 2nd, 8 am - 8 pm) as well as static maps produced in this study. All the upscaled results could not be included in the repository due to their large size. </p> <p>Note that the analysis to produce the vegetation classification map are described here: https://github.com/poniitty/kilpisjarvi_vegclass</p>
Data from: Analysing small insect glands with UV-LDI MS: high-resolution spatial analysis reveals the chemical composition and use of the osmeterium secretion in Themira superba (Sepsidae: Diptera)
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High resolution mapping of the tumor microenvironment using integrated single-cell, spatial and in situ analysis
GEO Series GSE243280. Homo sapiens. 7 samples. Type: Other; Expression profiling by high throughput sequencing.
High-resolution spatial transcriptomics and cell lineage analysis reveal spatiotemporal cell fate determination during craniofacial development
GEO Series GSE293181. Mus musculus. 15 samples. Type: Expression profiling by high throughput sequencing.
Open-ST: High-resolution spatial transcriptomics in 3D [xenium]
GEO Series GSE263498. Homo sapiens. 2 samples. Type: Other.
High resolution spatially resolved transcriptomic analysis of mouse pancreatic sections during embryonic development
GEO Series GSE290835. Mus musculus; synthetic construct. 55 samples. Type: Other.
Unraveling the Cellular Landscape of Abdominal Aortic Aneurysm Using High-Resolution Spatial Transcriptomics:
GEO Series GSE229500. Mus musculus; synthetic construct. 3 samples. Type: Expression profiling by high throughput sequencing.
A high-resolution transcriptomic and spatial atlas of cell types in the whole mouse brain
GEO Series GSE246717. Mus musculus. 781 samples. Type: Expression profiling by high throughput sequencing.
High resolution mapping of the tumor microenvironment using integrated single-cell, spatial and in situ analysis [Xenium]
GEO Series GSE243168. Homo sapiens. 3 samples. Type: Other.
High-plex protein and whole transcriptome co-mapping at cellular resolution with spatial CITE-seq
GEO Series GSE213264. Homo sapiens; Mus musculus. 18 samples. Type: Expression profiling by high throughput sequencing; Other.
High resolution mapping of the tumor microenvironment using integrated single-cell, spatial and in situ analysis [scRNA-seq and Visium]
GEO Series GSE243275. Homo sapiens. 4 samples. Type: Expression profiling by high throughput sequencing; Other.
High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways
GEO Series GSE190094. Mus musculus. 85 samples. Type: Expression profiling by high throughput sequencing; Other.
High-Resolution Spatial Map of the Human Facial Sebaceous Gland Reveals Marker Genes and Decodes Sebocyte Differentiation [MERFISH]
GEO Series GSE292394. Homo sapiens; synthetic construct. 1 samples. Type: Other.
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.