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499 results for “fuels”
LBA-ECO CD-05 Forest Understory Fuel Loads, Paragominas, Para, Brazil: 2001
This data set contains estimates of understory fuel loads (forest litter) at six locations near Paragominas in Northeastern Amazonia. Samples were collected from three different forest conditions: primary forest, logged forest, and burned forest. Volumes and weights are provided by size and condition class based on the planar transect method of estimating understory fuel loads (Brown 1971). Means and standard errors are reported from 3 transects in each forest x condition class. There is one comma-delimited data file (.csv) with this data set.DATA QUALITY STATEMENT: The Data Center has determined that there are questions about the quality of the data reported in this data set. The data set has missing or incomplete data, metadata, or other documentation that diminishes the usability of the products.
MiCASA Daily NPP Rh ATMC NEE FIRE FUEL Fluxes 0.1 degree x 0.1 degree
MiCASA is an extensive revision of CASA-GFED3. CASA-GFED3 derives from Potter et al. (1993), diverging in development since Randerson et al. (1996). CASA is a light use efficiency model: NPP is expressed as the product of photosynthetically active solar radiation, a light use efficiency parameter, scalars that capture temperature and moisture limitations, and fractional absorption of photosynthetically active radiation (fPAR) by the vegetation canopy derived from satellite data. Fire parameterization was incorporated into the model by van der Werf et al. (2004) leading to CASA-GFED3 after several revisions (van der Werf et al., 2006, 2010). Development of the GFED module has continued, now at GFED5 (Chen et al., 2023) with less focus on the CASA module. MiCASA diverges from GFED development at version 3, although future reconciliation is possible. Input datasets include air temperature, precipitation, incident solar radiation, a soil classification map, and several satellite derived products. These products are primarily based on Moderate Resolution Imaging Spectroradiometer (MODIS) Terra and Aqua combined datasets including land cover classification (MCD12Q1), burned area (MCD64A1), Nadir BRDF-Adjusted Reflectance (NBAR; MCD43A4), from which fPAR is derived, and tree/herbaceous/bare vegetated fractions from Terra only (MOD44B). Emissions due to fire and burning of coarse woody debris (fuel wood) are estimated separately.
Global Inventory of Methane Emissions from Fuel Exploitation V1 (GFEI_CH4)
This is a global inventory of methane emissions from fuel exploitation (GFEI) created for the NASA Carbon Monitoring System (CMS). The emission sources represented in this dataset include fugitive emission sources from oil, gas, and coal exploitation following IPCC 2006 definitions and are estimated using bottom-up methods. The inventory emissions are based on individual country reports submitted in accordance with the United Nations Framework Convention on Climate Change (UNFCCC). For those countries that do not report, the emissions are estimated following IPCC 2006 methods. Emissions are allocated to infrastructure locations including mines, wells, pipelines, compressor stations, storage facilities, processing plants, and refineries. The purpose of the inventory is to be used as a prior estimate of fuel exploitation emissions in inverse modeling of atmospheric methane observations. GFEI only includes fugitive methane emissions from oil, gas, and coal exploitation activities and does not include any combustion emissions as defined in IPCC 2006 category 1A. The CMS program is designed to make significant contributions in characterizing, quantifying, understanding, and predicting the evolution of global carbon sources and sinks through improved monitoring of carbon stocks and fluxes. The System uses NASA observations and modeling/analysis capabilities to establish the accuracy, quantitative uncertainties, and utility of products for supporting national and international policy, regulatory, and management activities. CMS data products are designed to inform near-term policy development and planning.
LBA-ECO CD-05 Understory Fuel Stick Moisture, km 67 Site, Para, Brazil: 1998-2000
This data set contains moisture content measurements for fuel sticks located in the forest understory of the rainfall exclusion experimental site, Tapajos National Forest, Para, Brazil. The mean and standard errors are reported for control and treatment plot measurements. The measurements were taken on various dates and times of day between 1998 and 2000 during the dry season.The rainfall exclusion treatment began in late January 2000 and continued through December 2004. About 60% of throughfall (equivalent to approximately half the rainfall) was diverted from a 1-hectare plot (i.e., dry) using plastic panels installed in the understory. The comparable 1-hectare control plot (i.e., wet) was unaltered. The purpose was to observe the potential effects of severe water stress on a humid Amazonian forest (Nepstad et al., 2002). There is one comma-separated (.csv) data file with this data set.
Receptor Interacting Protein 140 (Nrip1) Controls Cardiac Fuel Metabolism and Function [CUT&RUN]
GEO Series GSE205315. Mus musculus. 12 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Pyruvate dehydrogenase fuels a critical citrate pool that is essential for Th17 cell effector functions (RNA-Seq I)
GEO Series GSE222880. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
IL-1b+ tumor-associated macrophages fuel pathogenic inflammation in pancreatic cancer - scRNA-seq of murine PDAC samples
GEO Series GSE217846. Mus musculus. 16 samples. Type: Expression profiling by high throughput sequencing.
IL-1b+ tumor-associated macrophages fuel pathogenic inflammation in pancreatic cancer
GEO Series GSE217847. Homo sapiens; Mus musculus. 136 samples. Type: Expression profiling by high throughput sequencing; Other.
Small non-coding RNAs encapsulating mammalian cells fuels innate immunity
GEO Series GSE252429. Mus musculus. 24 samples. Type: Expression profiling by high throughput sequencing.
Myeloid progenitor dysregulation fuels immunosuppressive macrophages in tumors [dataset 2]
GEO Series GSE270127. Homo sapiens. 10 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Epigenome-Wide Association Study for Transgenerational Disease Epimutation Sperm Biomarkers following Ancestral Exposure to Jet Fuel Hydrocarbons
GEO Series GSE155922. Rattus norvegicus. 41 samples. Type: Methylation profiling by high throughput sequencing.
Efferocytosis fuels malignant pleural effusion through TIMP1
GEO Series GSE172455. Mus musculus. 2 samples. Type: Expression profiling by high throughput sequencing.
IL-1b+ tumor-associated macrophages fuel pathogenic inflammation in pancreatic cancer - Molecular Cartography of human PDAC samples
GEO Series GSE237846. Homo sapiens. 13 samples. Type: Other.
Glucose-dependent glycosphingolipid biosynthesis fuels CD8+ T cell function and tumor control
GEO Series GSE295573. Mus musculus. 7 samples. Type: Expression profiling by high throughput sequencing.
A Basophil-Fibroblast Pro-inflammatory Axis Fuels Type 2 Skin Inflammation
GEO Series GSE288255. Mus musculus. 18 samples. Type: Expression profiling by high throughput sequencing.
Myeloid progenitor dysregulation fuels immunosuppressive macrophages in tumours
GEO Series GSE270148. Mus musculus; Homo sapiens. 85 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Cancer cell-derived arginine fuels polyamine biosynthesis in tumor-associated macrophages to promote immune evasion
GEO Series GSE285794. Mus musculus. 12 samples. Type: Expression profiling by high throughput sequencing.
Interrupting the nitrosative stress fuels tumor-specific cytotoxic T lymphocytes in pancreatic cancer
GEO Series GSE179273. Mus musculus. 4 samples. Type: Expression profiling by high throughput sequencing.
Pyruvate dehydrogenase fuels a critical citrate pool that is essential for Th17 cell effector functions (ATAC-Seq)
GEO Series GSE222878. Mus musculus. 10 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Microbial Energy Metabolism Fuels a CSF2-dependent Intestinal Macrophage Niche within Solitary Isolated Lymphoid Tissues via purinergic signaling.
GEO Series GSE231371. Mus musculus. 4 samples. Type: Expression profiling by high throughput sequencing.
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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)
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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.