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1,141 results for “primary_productivity”
HANPP Collection: Global Patterns in Net Primary Productivity (NPP)
The HANPP Collection: Global Patterns in Net Primary Productivity (NPP) maps the net amount of solar energy converted to plant organic matter through photosynthesis. NPP is measured in Units of elemental carbon and represents the primary food energy source for the world's ecosystems.
Impacts of Climate Variability on Primary Productivity and Carbon Distributions in the Middle Atlantic Bight and Gulf of Maine (CliVEC)
Title: The Impacts of Climate Variability on Primary Productivity and Carbon Distributions in the Middle Atlantic Bight and Gulf of Maine (CliVEC)Research Team:* Antonio Mannino (PI) - NASA GSFC* Michael Novak - NASA GSFC* Margaret Mulholland (co-PI) - Old Dominion University* Peter Bernhardt - Old Dominion University* CJ Staryk - Old Dominion University* Kimberly Hyde (co-PI) - NOAA NEFSC* Jon Hare (collaborator) - NOAA NEFSC* David Lary (co-I) - University of Texas at DallasObservations from the MODIS and SeaWiFS time series (1997-2012) and measurements from an extensive field campaign are employed to examine how inter-annual and decadal-scale climate variability affects primary productivity and organic carbon distributions along the continental margin of the U.S. northeast coast. Estimates of daily primary productivity (PP) will be computed using the Ocean Productivity from Absorption of Light (OPAL) model. OPAL vertically resolves phytoplankton absorption of photosynthetically active radiation (PAR) and relates the chlorophyll-specific absorption coefficient to sea-surface temperature (SST), where SST is a proxy for seasonal changes in the phytoplankton community. OPAL will be validated with new field measurements of PP including dissolved organic carbon production.Field measurements of particulate (POC) and dissolved organic carbon (DOC) and the absorption coefficients of phytoplankton (aph) and colored dissolved organic matter (aCDOM) will allow us to extend the validation range (temporally and spatially) for our coastal algorithms and reduce the uncertainties in satellite-derived estimates of OPAL PP, POC, DOC, aph and aCDOM. Furthermore, we will apply our extensive field data to derive region-independent ocean color algorithms for PP, POC, DOC aCDOM and aph using machine learning approaches. We will rigorously validate and compare band-ratio and multivariate machine learning algorithms. Algorithms validated from this study will be applied to satellite observations to produce a time series of satellite data productsThe U.S. Middle Atlantic Bight (MAB), George's Bank (GB) and Gulf of Maine (GoM) stand at the crossroads between major ocean circulation features - the Gulf Stream and Labrador slope-sea and shelf currents - and are influenced by highly variable river discharge, summer upwelling, warm core rings, and intense seasonal stratification. Our work will focus on the impacts of variable river discharge, SST and large-scale climate indices on primary production, and POC and DOC distributions. These processes are not unique to the MAB and GoM. Consequently, the results from this activity can be applied to understanding how inter-annual and long-term variability in climate patterns can impact the carbon cycle of continental margins throughout the globe.
Intermediate Trophic Levels: Interconnections with Fronts, Eddies, and Primary Production
The objective of the project was to study the relationships between intermediate trophic level organisms (predominantly zooplankton and small epipelagic and mesopelagic fish), primary production, and physical processes at oceanic frontal structures.
HANPP Collection: Human Appropriation of Net Primary Productivity as a Percentage of Net Primary Productivity
The HANPP Collection: Human Appropriation of Net Primary Productivity as a Percentage of Net Primary Productivity represents a map identifying regions in which human consumption of NPP is greatly in excess of production by local ecosystems. Humans appropriate net primary productivity through the consumption of food, paper, wood and fiber, which alters the composition of the atmosphere, levels of biodiversity, energy flows within food webs and the provision of important ecosystem services. Net primary productivity (NPP), the net amount of solar energy converted to plant organic matter through photosynthesis, can be measured in Units of elemental carbon and represents the primary food energy source for the world's ecosystems.
Productively HIV-1 infected and bystander primary human CD4+ T-cells
GEO Series GSE247196. Homo sapiens. 18 samples. Type: Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing.
mRNA expression profiles in productively HIV-1 infected and bystander primary human CD4+ T-cells
GEO Series GSE247191. Homo sapiens. 9 samples. Type: Expression profiling by high throughput sequencing.
miRNA expression profiles in productively HIV-1 infected and bystander primary human CD4+ T-cells
GEO Series GSE247194. Homo sapiens. 9 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Interleukin-4 restores neurogenic plasticity of the primary human neural stem cells through suppression of Kynurenic acid production upon Amyloid-beta42 toxicity
GEO Series GSE108038. Homo sapiens. 18 samples. Type: Expression profiling by high throughput sequencing.
Carbon nanotubes, but not graphene oxide, trigger chemokine production in primary human macrophages via MyD88 dependent NF-kB Pathway
GEO Series GSE83516. Homo sapiens. 17 samples. Type: Expression profiling by array.
Mapping the intertidal microphytobenthos Gross Primary Production. Part II: Merging remote sensing and physical-biological coupled modelling.
<p>Simulation outputs with MARS-3D of the MPB GPP on the Brouage mudflat in 2015.</p>
Divergence impacts of incorporating MODIS clumping index to terrestrial gross primary production models on canopy light environment
Open the record for dataset details and reuse information.
Input of Optimized gross primary productivity over the croplands within the BEPS particle filtering data assimilation system (BEPS_PF v1.0)
Open the record for dataset details and reuse information.
Myocardial Fibroblasts are a Primary Source High Molecular Weight Hyaluronan Production in the Failing Heart
GEO Series GSE284092. Mus musculus. 20 samples. Type: Expression profiling by high throughput sequencing.
Overexpression of the primary sigma factor gene sigA improved carotenoid production by Corynebacterium glutamicum: application to production of β-carotene and the non-native linear C50 carotenoid bisa
GEO Series GSE86866. Corynebacterium glutamicum; Corynebacterium glutamicum ATCC 13032. 2 samples. Type: Expression profiling by array.
HDLEP model estimates field evapotranspiration and primary gross domestic product
<p>Entitled “Hybrid deep learning model with water-carbon coupling constraints for simultaneous estimation of field evapotranspiration and gross primary production” for possible publication in Water Resources Research.</p> <p>Data:</p> <p>The Eddy covariance observational flux, meteorological, soil and crop data of the sunflower and maize field. The first study site, Site 1, is situated in the sunflower field at the Heji station (40°43′ N, 107°16′ E, 1,038 m), covering the experimental period from 2019 to 2022. The second study site, Site 2, is situated in the maize field at the Fenzidi station (41°09′ N, 107°39′ E 1,032 m), covering the experimental period from 2017 to 2020. For each site, we collected the following variables at half-hourly temporal resolution. </p> <p>Code:</p> <p>All the codes were executed in Python. The provided mixed deep learning model code can be run on Jupyter Notebook.</p>
North America (SW) Gross Primary Productivity (GPP) Dataset 2018 (GeoTIFF) - ZIP file
<p>Product: Gross Primary Productivity (GPP)</p> <p>Year: 2018</p> <p>Region: North America (southwest)</p> <p>Temporal Scale: 8 Days</p> <p>Spatial Resolution: 500 meters</p> <p>Method: Light-use-efficiency (LUE) approach.</p> <p>Referred Publication: https://www.sciencedirect.com/science/article/pii/S0048969718307149</p> <p>https://onlinelibrary.wiley.com/doi/10.1111/gcb.12261</p> <p>This archive has been uploaded as a .zip file, due to repeated difficulties uploading single GeoTIFFs to Zenodo. </p> <p>NOTE: As ArcPy classifies 'no data' pixels as very low negative values, users should mask all data values below 0 to prevent these affecting statistics.</p>
Amazon Gross Primary Productivity (GPP) Dataset 2018 (GeoTIFF) - ZIP file
<p>Product: Gross Primary Productivity (GPP)</p> <p>Year: 2018 </p> <p>Region: Amazon </p> <p>Temporal Scale: 8 Days</p> <p>Spatial Resolution: 500 meters</p> <p>Method: Light-use-efficiency (LUE) approach.</p> <p>Referred Publication: https://www.sciencedirect.com/science/article/pii/S0048969718307149</p> <p>https://onlinelibrary.wiley.com/doi/10.1111/gcb.12261</p> <p>This archive has been uploaded as a .zip file, due to repeated difficulties uploading single GeoTIFFs to Zenodo. </p> <p><strong>NOTE: As ArcPy classifies 'no data' pixels as very low negative values, users should mask all data values below 0 to prevent these affecting statistics. </strong></p>
Europe Gross Primary Productivity (GPP) Dataset 2018 (GeoTIFF) - ZIP file
<p>Product: Gross Primary Productivity (GPP)</p> <p>Year: 2018 </p> <p>Region: Europe</p> <p>Temporal Scale: 8 Days</p> <p>Spatial Resolution: 500 meters</p> <p>Method: Light-use-efficiency (LUE) approach.</p> <p>Referred Publications: https://www.sciencedirect.com/science/article/pii/S0048969718307149</p> <p>https://onlinelibrary.wiley.com/doi/10.1111/gcb.12261</p> <p>This archive has been uploaded as a .zip file, due to repeated difficulties uploading single GeoTIFFs to Zenodo. </p> <p><strong>NOTE: As ArcPy (used in generation) classifies 'no data' pixels as very low negative values, users should mask all data values below 0 to prevent these affecting statistics. </strong></p>
North America (SW) Gross Primary Productivity (GPP) Dataset 2018 (GeoTIFF) - ZIP file
<p>Product: Gross Primary Productivity (GPP)</p> <p>Year: 2018</p> <p>Region: North America (southwest)</p> <p>Temporal Scale: 8 Days</p> <p>Spatial Resolution: 500 meters</p> <p>Method: Light-use-efficiency (LUE) approach.</p> <p>Referred Publication: https://www.sciencedirect.com/science/article/pii/S0048969718307149</p> <p>https://onlinelibrary.wiley.com/doi/10.1111/gcb.12261</p> <p>This archive has been uploaded as a .zip file, due to repeated difficulties uploading single GeoTIFFs to Zenodo. </p> <p>NOTE: As ArcPy classifies 'no data' pixels as very low negative values, users should mask all data values below 0 to prevent these affecting statistics.</p>
North America (SW) Gross Primary Productivity (GPP) Dataset 2019 (GeoTIFF) - ZIP file
<p>Product: Gross Primary Productivity (GPP)</p> <p>Year: 2019</p> <p>Region: North America (southwest)</p> <p>Temporal Scale: 8 Days</p> <p>Spatial Resolution: 500 meters</p> <p>Method: Light-use-efficiency (LUE) approach.</p> <p>Referred Publication: https://www.sciencedirect.com/science/article/pii/S0048969718307149</p> <p>https://onlinelibrary.wiley.com/doi/10.1111/gcb.12261</p> <p>This archive has been uploaded as a .zip file, due to repeated difficulties uploading single GeoTIFFs to Zenodo. </p> <p><strong>NOTE: As ArcPy classifies 'no data' pixels as very low negative values, users should mask all data values below 0 to prevent these affecting statistics.</strong></p>
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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
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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.