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265 results for “sequestration”
Binding and sequestration of poison frog alkaloids by a plasma globulin
<p><span>Alkaloids are important bioactive molecules throughout the natural world, and in many animals, they serve as a source of chemical defense against predation. Dendrobatid poison frogs bioaccumulate alkaloids from their diet to make themselves toxic or unpalatable to predators. Despite the proposed roles of plasma proteins as mediators of alkaloid trafficking and bioavailability, the responsible proteins have not been identified. We use chemical approaches to show that a ~50 kDa plasma protein is the principal alkaloid binding molecule in blood from poison frogs. Proteomic and biochemical studies establish this plasma protein to be liver-derived alkaloid-binding globulin (ABG) that is a member of the serine-protease inhibitor (serpin) family. In addition to alkaloid binding activity, ABG sequesters and regulates the bioavailability of "free" plasma alkaloids <em>in vitro</em>. Unexpectedly, ABG is not related to saxiphilin or albumin but instead exhibits sequence and structural homology to mammalian hormone carriers and amphibian biliverdin binding proteins. Alkaloid-binding globulin (ABG) represents a new small molecule binding functionality in serpin proteins, a novel mechanism of plasma alkaloid transport in poison frogs, and more broadly points towards serpins acting as tunable scaffolds for small molecule binding and transport across different organisms. </span></p>
Carbon action MULTA Finnish carbon sequestration experimental field dataset 2023
<p>This dataset includes the fifth and final year observations of the Finnish Carbon Action carbon sequestration experiment. In the experiment c.a. 100 farms test carbon farming methods on a test field and an adjacent control plot. Of these 20 farms were chosen for continued sampling 2019-2023 combining field observations and soil sampling. This data will be coupled with satellite imagery, field sensors and carbon cycle modeling to forecast carbon sequestration. Subsequent sampling will track changes in soil carbon stock and soil health.</p> <p>This dataset is an update of the final monitoring year and includes summaries of the previous year measurements. The full measurements for previous years can be found in: https://zenodo.org/communities/carbonaction/ .</p> <p>The 2023 update includes data on:</p> <ul> <li>physical quality: soil structure (VESS), bulk density, porosity, water holding capacity, infiltration rate</li> <li>biological properties: earthworm counts, above ground biomass, plant cover (%), chlorophyll, microbial activity, root biomass</li> <li>chemical properties: soil nutrients, change in nutrient pools over time</li> </ul> <p> </p>
Carbon action MULTA Finnish carbon sequestration experimental field dataset 2021
<p>This dataset includes the third year observations of the Finnish Carbon Action carbon sequestration experiment. In the experiment c.a. 100 farms test carbon farming methods on a test field and an adjacent control plot. Of these 20 farms were chosen for continued sampling 2020-2024 combining field observations and soil sampling. This data will be coupled with satellite imagery, field sensors and carbon cycle modeling to forecast carbon sequestration. Subsequent sampling will track changes in soil carbon stock and soil productivity.</p> <p>The dataset will be updated annually, updates are published as separate datasets in https://zenodo.org/communities/carbonaction/ . The 2021 update includes data on:</p> <ul> <li>physical quality: soil structure (VESS), bulk density, porosity, water holding capacity, infiltration rate, aggregate stability</li> <li>biological properties: earthworm counts, above ground biomass, plant cover (%), chorophyll, microbial activity Solvita CO2 burst</li> <li>chemical properties: change in soil nutrients 2019 to 2021, change in OM </li> </ul> <p>This updated version includes the change in soil nutrients and updated soil infiltration rates as the soil texture was determined more accurately. In addition the biomass calculation was updated to include the row spacing of certain crops (12,5 cm). </p>
Carbon action MULTA Finnish carbon sequestration experimental field dataset 2020
<p>This dataset includes the second year observations of the Finnish Carbon Action carbon sequestration experiment. In the experiment c.a. 100 farms test carbon farming methods on a test field and an adjacent control plot. Of these 20 farms were chosen for continued sampling 2020-2024 combining field observations and soil sampling. This data will be coupled with satellite imagery, field sensors and carbon cycle modeling to forecast carbon sequestration. Subsequent sampling will track changes in soil carbon stock and soil productivity.</p> <p>The dataset will be updated annually, updates are published as separate datasets in https://zenodo.org/communities/carbonaction/ . The 2020 update includes data on:</p> <ul> <li>physical quality: soil structure (VESS), bulk density, porosity, water holding capacity, infiltration rate</li> <li>biological properties: earthworm counts, above ground biomass, plant cover (%), Solvita CO2 burst microbial activity</li> </ul> <p>Compared to the previous release, the biomass amounts were updated to take into account the row spacing (12,5 cm). </p>
Carbon action MULTA Finnish carbon sequestration experimental field dataset 2022
<p>This dataset includes the third year observations of the Finnish Carbon Action carbon sequestration experiment. In the experiment c.a. 100 farms test carbon farming methods on a test field and an adjacent control plot. Of these 20 farms were chosen for continued sampling 2020-2024 combining field observations and soil sampling. This data will be coupled with satellite imagery, field sensors and carbon cycle modeling to forecast carbon sequestration. Subsequent sampling will track changes in soil carbon stock and soil productivity.</p> <p>The dataset will be updated annually, updates are published as separate datasets in https://zenodo.org/communities/carbonaction/ . The 2022 update includes data on:</p> <ul> <li>physical quality: soil structure (VESS), bulk density, porosity, water holding capacity, infiltration rate</li> <li>biological properties: earthworm counts, above ground biomass, plant cover (%), chlorophyll, microbial activity (Solvita)</li> <li>chemical properties: soil nitrogen pools</li> </ul> <p>Compared to the previous version, the updated version has a corrected calculation for biomass, to take into account row spacing (12,5 cm). </p> <p>Site photos and updated water infiltration rates will be published in an updated release in winter 2024.</p>
Data for: Nitrogen dynamics and carbon sequestration in soil following application of digestates from one- and two-step anaerobic digestion
<p>Data set for article <span>Nitrogen dynamics and carbon sequestration in soil following application of digestates from one- and two-step anaerobic digestion (https://doi.org/10.1016/j.scitotenv.2022.158177).</span></p>
Initial soil conditions outweigh management in a cool-season dairy farm's carbon sequestration potential
<p>Data used in the manuscript "Initial soil conditions outweigh management in a cool-season dairy farm’s carbon sequestration potential" (<a href="http://dx.doi.org/10.1016/j.scitotenv.2021.152195">10.1016/j.scitotenv.2021.152195</a>)</p> <p> </p> <p>Soil samples, gas fluxes, and biomass samples measured at the Organic Dairy Research Farm at the University of New Hampshire. Soil samples were in two sets, a spatially explicit set from 0 - 15 cm depth, and less spatially explicit samples taken at 10 cm increments. Soils were sampled for soil carbon and nitrogen content. Gas fluxes were measured using the chamber method with carbon dioxide and nitrous oxide gases measured on gas chromatographs with the change over time used to measure the gas flux rates. Forage biomass was measured by collecting biomass in 1 m2 plots. Please see the manuscript for more details on sampling.</p>
Carbon sequestration of a forested wetland receiving nutrient inputs - soil, tree and greenhouse gas data
<p><span><span><span><span><span><span><span><span><span><span><span>Here we describe a pilot wetland carbon project located 30 km west of New Orleans where measurements were taken in 2013 and 2018, and applied to the carbon offset methodology, "Restoration of Degraded Deltaic Wetlands of the Mississippi Delta" ("the ACR Methodology") published by the American Carbon Registry (ACR). Baseline emissions were modeled using values derived from scientific literature. Results indicate net sequestration rate of 619,727 tons carbon dioxide equivalent (CO<sub>2</sub>e) over the 40 year project duration, which equates to 16,527 t CO2-e/yr, if wetland greenhouse gases (GHGs) are included, and 200,143 t CO<sub>2</sub>e over 40 years, or 5,003 t CO2-e/yr, if wetland greenhouse gasses were conservatively omitted. A kriging exercise was carried out that modeled the tree and soil pools, which resulted in net sequestration of 723,375 t CO2-e over 40 years (annual mean 18,084 t CO2-e/yr) with greenhouse gases, and 262,472 t CO2-e over 40 years (annual mean rate 6,560 t CO2-e/yr) if greenhouse gases were omitted. Unfortunately, the project was withdrawn, prohibiting the issuance and eventual transaction of carbon credits, due to very large uncertainty estimates mostly associated with GHG emissions and the kriging approach as in situ sampling could not be conducted as required by the methodology.</span></span></span></span></span></span></span></span></span></span></span></p>
Lagrangian Sequestration Efficiency Trajectories and Extracted Particle Metrics – 500m Y13 & Y14
<p>A dataset of Lagrangian trajectories used to estimate North Atlantic sequestration efficiency and extracted metrics for the re-entrained and sequestered particles. All variables have long names and units. These files have been used for the analysis in Baker et al. ‘Biological carbon pump sequestration efficiency in the North Atlantic: a leaky or a long-term sink?’ with further information about the methodology available in the paper. Due to the size of the datasets, each DOI only contains two files. This dataset contains the 500m particles releases for the years 2008 (Y13) and 2009 (Y14).</p>
Lagrangian Sequestration Efficiency Trajectories and Extracted Particle Metrics – 500m Y17 & Y18
<p>A dataset of Lagrangian trajectories used to estimate North Atlantic sequestration efficiency and extracted metrics for the re-entrained and sequestered particles. All variables have long names and units. These files have been used for the analysis in Baker et al. ‘Biological carbon pump sequestration efficiency in the North Atlantic: a leaky or a long-term sink?’ with further information about the methodology available in the paper. Due to the size of the datasets, each DOI only contains two files. This dataset contains the 500m particles releases for the years 2012 (Y17) and 2013 (Y18).</p>
Lagrangian Sequestration Efficiency Trajectories and Extracted Particle Metrics – 500m Y7 & Y8
<p>A dataset of Lagrangian trajectories used to estimate North Atlantic sequestration efficiency and extracted metrics for the re-entrained and sequestered particles. All variables have long names and units. These files have been used for the analysis in Baker et al. ‘Biological carbon pump sequestration efficiency in the North Atlantic: a leaky or a long-term sink?’ with further information about the methodology available in the paper. Due to the size of the datasets, each DOI only contains two files. This dataset contains the 500m particles releases for the years 2002 (Y7) and 2003 (Y8).</p>
Lagrangian Sequestration Efficiency Trajectories and Extracted Particle Metrics – 2000m Y17 & Y18
<p>A dataset of Lagrangian trajectories used to estimate North Atlantic sequestration efficiency and extracted metrics for the re-entrained and sequestered particles. All variables have long names and units. These files have been used for the analysis in Baker et al. ‘Biological carbon pump sequestration efficiency in the North Atlantic: a leaky or a long-term sink?’ with further information about the methodology available in the paper. Due to the size of the datasets, each DOI only contains two files. This dataset contains the 2000m particles releases for the years 2012 (Y17) and 2013 (Y18).</p>
Lagrangian Sequestration Efficiency Trajectories and Extracted Particle Metrics – 500m Y3 & Y4
<p>A dataset of Lagrangian trajectories used to estimate North Atlantic sequestration efficiency and extracted metrics for the re-entrained and sequestered particles. All variables have long names and units. These files have been used for the analysis in Baker et al. ‘Biological carbon pump sequestration efficiency in the North Atlantic: a leaky or a long-term sink?’ with further information about the methodology available in the paper. Due to the size of the datasets, each DOI only contains two files. This dataset contains the 500m particles releases for the years 1998 (Y3) and 1999 (Y4).</p>
Lagrangian Sequestration Efficiency Trajectories and Extracted Particle Metrics – 2000m Y15 & Y16
<p>A dataset of Lagrangian trajectories used to estimate North Atlantic sequestration efficiency and extracted metrics for the re-entrained and sequestered particles. All variables have long names and units. These files have been used for the analysis in Baker et al. ‘Biological carbon pump sequestration efficiency in the North Atlantic: a leaky or a long-term sink?’ with further information about the methodology available in the paper. Due to the size of the datasets, each DOI only contains two files. This dataset contains the 2000m particles releases for the years 2010 (Y15) and 2011 (Y16).</p>
Lagrangian Sequestration Efficiency Trajectories and Extracted Particle Metrics – 2000m Y13 & Y14
<p>A dataset of Lagrangian trajectories used to estimate North Atlantic sequestration efficiency and extracted metrics for the re-entrained and sequestered particles. All variables have long names and units. These files have been used for the analysis in Baker et al. ‘Biological carbon pump sequestration efficiency in the North Atlantic: a leaky or a long-term sink?’ with further information about the methodology available in the paper. Due to the size of the datasets, each DOI only contains two files. This dataset contains the 2000m particles releases for the years 2008 (Y13) and 2009 (Y14).</p>
Lagrangian Sequestration Efficiency Trajectories and Extracted Particle Metrics – 500m Y1 & Y2
<p>A dataset of Lagrangian trajectories used to estimate North Atlantic sequestration efficiency and extracted metrics for the re-entrained and sequestered particles. All variables have long names and units. These files have been used for the analysis in Baker et al. ‘Biological carbon pump sequestration efficiency in the North Atlantic: a leaky or a long-term sink?’ with further information about the methodology available in the paper. Due to the size of the datasets, each DOI only contains two files. This dataset contains the 500m particles releases for the years 1996 (Y1) and 1997 (Y2).</p>
Lagrangian Sequestration Efficiency Trajectories and Extracted Particle Metrics – 2000m Y9 & Y10
<p>A dataset of Lagrangian trajectories used to estimate North Atlantic sequestration efficiency and extracted metrics for the re-entrained and sequestered particles. All variables have long names and units. These files have been used for the analysis in Baker et al. ‘Biological carbon pump sequestration efficiency in the North Atlantic: a leaky or a long-term sink?’ with further information about the methodology available in the paper. Due to the size of the datasets, each DOI only contains two files. This dataset contains the 2000m particles releases for the years 2004 (Y9) and 2005 (Y10).</p>
Lagrangian Sequestration Efficiency Trajectories and Extracted Particle Metrics – 2000m Y7 & Y8
<p>A dataset of Lagrangian trajectories used to estimate North Atlantic sequestration efficiency and extracted metrics for the re-entrained and sequestered particles. All variables have long names and units. These files have been used for the analysis in Baker et al. ‘Biological carbon pump sequestration efficiency in the North Atlantic: a leaky or a long-term sink?’ with further information about the methodology available in the paper. Due to the size of the datasets, each DOI only contains two files. This dataset contains the 2000m particles releases for the years 2002 (Y7) and 2003 (Y8).</p>
Lagrangian Sequestration Efficiency Trajectories and Extracted Particle Metrics – 2000m Y11 & Y12
<p>A dataset of Lagrangian trajectories used to estimate North Atlantic sequestration efficiency and extracted metrics for the re-entrained and sequestered particles. All variables have long names and units. These files have been used for the analysis in Baker et al. ‘Biological carbon pump sequestration efficiency in the North Atlantic: a leaky or a long-term sink?’ with further information about the methodology available in the paper. Due to the size of the datasets, each DOI only contains two files. This dataset contains the 2000m particles releases for the years 2006 (Y11) and 2007 (Y12).</p>
Lagrangian Sequestration Efficiency Trajectories and Extracted Particle Metrics – 2000m Y3 & Y4
<p>A dataset of Lagrangian trajectories used to estimate North Atlantic sequestration efficiency and extracted metrics for the re-entrained and sequestered particles. All variables have long names and units. These files have been used for the analysis in Baker et al. ‘Biological carbon pump sequestration efficiency in the North Atlantic: a leaky or a long-term sink?’ with further information about the methodology available in the paper. Due to the size of the datasets, each DOI only contains two files. This dataset contains the 2000m particles releases for the years 1998 (Y3) and 1999 (Y4).</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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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.