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238 results for “carbon flux”
Water, energy and carbon fluxes and ancillary meteorological and remote sensing measurements at Encanto Golf Course, Phoenix, Arizona during 2019-2020
<p>Water, energy and carbon fluxes as wells as ancillary meteorological and NDVI measurements from the Encanto Park Golf Course in Phoenix, AZ. Measurements were done from March 2019 to March 2020.</p> <p>The database includes three files:</p> <ul> <li>Encanto_AZMET.xlsx, that include hourly values and daily average meteorological variables (T<sub>air</sub>, RH, VPD, R<sub>s</sub>, T<sub>soil</sub>, etc.) obtained from the Phoenix Encanto meteorological station of The Arizona Meteorological Network (AZMET). Please refer to https://cals.arizona.edu/AZMET/15.htm and the spreadsheet ReadMe within the excel file for additional information.</li> <li>Encanto_EddyCovariance.xlsx includes the half-hour water, energy and carbon fluxes obtained using an eddy covariance (EC) system. The file also includes half-hour ancillary meteorological and soil measurements obtained from the EC tower. Water, energy and carbon fluxes were processed using the software EddyPro 7.0. For more information, please refer to Vivoni <em>et al</em> (2020). Note: This new version includes Eddy Covariance and Met data up to July, 2020.</li> <li>Encanto_NDVI.xlsx includes the average NDVI for the net radiometer footprint installed in the EC tower. NDVI was obtained from 4-band PlanetScope scene images obtained from Planet website (www.planet.com). For more information, please refer to Vivoni <em>et al</em> (2020).</li> </ul> <p>The use of the datasets requires the citation of the next paper:</p> <ul> <li>Vivoni, E. R., Kindler, M., Wang, Z., and Perez-Ruiz, E. R. 2020.Abiotic Mechanisms Drive Enhanced Evaporative Losses under Urban Oasis Conditions . <em>Geophysical Research Letters</em>. 47: e2020GL090123. <a href="https://doi.org/10.1029/2020GL090123">https://doi.org/10.1029/2020GL090123</a></li> </ul>
Global terrestrial carbon pools and fluxes
<p>This file contains a compilation of published data used to generate Fig. 1 in the paper "Estimating the importance of viral contributions to soil carbon dynamics" by Amy E. Zimmerman, Emily B. Graham, Jason McDermott, Kirsten S. Hofmockel which has been accepted for publication in <em>Global Change Biology</em> as of September 2024. Please see the manuscript Supporting Information for additional details.</p>
Nonlinear responses of ecosystem carbon fluxes to nitrogen deposition in an old-growth boreal forest
<p>Nitrogen (N) deposition is known to increase carbon (C) sequestration in N-limited boreal forests. However, the long-term effects of N deposition on ecosystem carbon fluxes have been rarely investigated in old-growth boreal forests. Here we show that decade-long experimental N additions significantly stimulated net primary production (NPP) but the effect decreased with increasing N loads. The effect on soil heterotrophic respiration (Rh) shifted from a stimulation at low-level N additions to an inhibition at higher levels of N additions. Consequently, low-level N additions resulted in a neutral effect on net ecosystem productivity (NEP), due to a comparable stimulating effect on NPP and Rh, while NEP was increased by high-level N additions. Moreover, we found nonlinear temporal responses of NPP, Rh and NEP to low-level N additions. Our findings imply that actual N deposition in boreal forests likely exerts a minor contribution to their soil C storage.</p>
Data related to carbon flux footprints
<p>Data related to carbon flux footprints</p> <p>Researchers should preferably obtain access by making a data request at the Semi‐Arid Climate and Environment Observatory of Lanzhou University (SACOL; <a href="http://climate.lzu.edu.cn/English/Data_Sharing/LACMS_data.htm">http://climate.lzu.edu.cn/English/Data_Sharing/LACMS_data.htm</a>)</p>
Unprecedented recent regional increase in Organic Carbon and Lithogenic fluxes in high altitude Pyrenean lakes (Dataset)
<p>The datasets generated during and/or analysed in the article "Unprecedented recent regional increase in Organic Carbon and Lithogenic fluxes in high altitude Pyrenean lakes" (Scientific reports)</p>
Individual and interactive effects of warming and nitrogen supply on CO2 fluxes and carbon allocation in subarctic grassland
<p>We provide data (Data_all.xlsx) and the code for ecosystem productivity, soil respiration, carbon allocation in the shoot, root, soil, and microbes, and nitrogen and carbon availability in plant, soil, and microbes data. The measurements were made under soil warming gradient and under N fertilization treatment during the summer of 2018.</p> <p>The sheet '13C_allocation' contains data on excess <sup>13</sup>C in the plant, soil, and soil respiration for days 1,3,6, and 10 days after <sup>13</sup>CO<sub>2</sub> pulse labeling. </p> <p>The sheet 'primary productivity' contains data on ecosystem fluxes (Gross primary productivity; Net ecosystem productivity and Dark respiration).</p> <p>The sheet 'SR' contains data of soil respiration.</p> <p>The sheet 'dynamics.' contains data of continuous measurements of soil respired CO<sub>2</sub> (SR), <sup>13</sup>CO<sub>2</sub> (SR13C), soil water content(SWC), soil temperature (ST), and photosynthetic active radiation (PAR) and air temperature (Tair).</p> <p>The sheet 'Soil_N' consists of dissolved organic N (TdN), NH<sub>4</sub>, and NO<sub>3</sub> measured in soil. The sheet plant_N consists of N in plants. The microbial biomass carbon (MBC) and nitrogen (MBN) are provided in the sheet 'Microbial_Biomass'</p> <p>The R file 'Script. R' explains and plots the data. In addition, this R file also provides the script for time series regression analysis between response variables (soil-respired CO<sub>2</sub> and soil-respired <sup>13</sup>CO<sub>2</sub>) and environmental drivers (soil water content, soil temperature, and PAR), and provides the script for structural equation modeling (SEM) and linear mixed effects model and statistics.</p>
Data from: Draining the pool? Carbon storage and fluxes in three alpine plant communities
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Data from: Seasonal changes in plankton food web structure and carbon dioxide flux from Southern California reservoirs
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Data from: Broad-scale patterns of soil carbon (C) pools and fluxes across semiarid ecosystems are linked to climate and soil texture
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Nonlinear responses of ecosystem carbon fluxes to nitrogen deposition in an old-growth boreal forest
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Herbivore assemblage as an important factor modulating grazing effects on ecosystem carbon fluxes in a meadow steppe in northeast China
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Data from: Carbon flux and forest dynamics: increased deadwood decomposition in tropical rainforest tree-fall gaps
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Data from: Predicting peatland carbon fluxes from non-destructive plant traits
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Litter–trapping tank bromeliads in five different forests: carbon and nutrient pools and fluxes
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Data for "Drought and Heatwave Impacts on Semi-Arid Ecosystems' Carbon Fluxes along a Precipitation Gradient"
<p>These are flux and meteo data for the measurement sites ES-Abr and ES-LMa for the period from 2016-01-01 to 2019-12-31.</p> <p>These data were used for the publication:</p> <p>El-Madany, et al. (2020) "Drought and Heatwave Impacts on Semi-Arid Ecosystems’ Carbon Fluxes along a Precipitation Gradient" in Philosophical Transactions of the Royal Society B.</p> <p>Variables, units and description are found in the ReadmeDataDescription.csv file</p>
The Pulse of the Amazon: Fluxes of dissolved organic carbon, nutrients, and ions from the world's largest river
<p>Water chemistry and discharge data for Amazon River @ Obidos.</p>
Carbon flux and gross primary production of a scrub of Mexico
<p><span>Vegetation fixes C in its biomass through photosynthesis or might release it into the atmosphere through respiration. Measurements of these fluxes would help us to understand ecosystem functioning. This data is related to carbon flux (NEE) colected with the eddy covariance technique (EC_Data). The NEE is the balance between gross primary production (GPP) and ecosystem respiration (Reco) both calculated using the recent R package Reddyproc (Code Reddyproc). The database also include estimates of GPP of MOD17A2H product of MODIS Satellite for four pixels of a site with scrub vegetation in Mexico (GPP_MODIS). The programming code include the pre-procecing of NEE and the Theil-Sen and Linear model to describe the relationship between GPP of EC and GPP of MODIS (Code Theil-Sen).</span></p>
Data from: Relationships between plant traits, soil properties and carbon fluxes differ between monocultures and mixed communities in temperate grassland
1. The use of plant traits to predict ecosystem functions has been gaining growing attention. Aboveground plant traits, such as leaf nitrogen (N) content and specific leaf area (SLA), have been shown to strongly relate to ecosystem productivity, respiration, and nutrient cycling. Further, increasing plant functional trait diversity has been suggested as a possible mechanism to increase ecosystem carbon (C) storage. However, it is uncertain whether belowground plant traits can be predicted by aboveground traits, and if both above- and belowground traits can be used to predict soil properties and ecosystem-level functions. 2. Here, we used two adjacent field experiments in temperate grassland to investigate if above- and belowground plant traits are related, and whether relationships between plant traits, soil properties and ecosystem C fluxes (i.e., ecosystem respiration and net ecosystem exchange) measured in potted monocultures could be detected in mixed field communities. 3. We found that certain shoot traits (e.g., shoot N and C, and leaf dry matter content) were related to root traits (e.g., root N, root C:N, and root dry matter content) in monocultures, but such relationships were either weak or not detected in mixed communities. Some relationships between plant traits (i.e., shoot N, root N and/or shoot C:N) and soil properties (i.e., inorganic N availability and microbial community structure) were similar in monocultures and mixed communities, but they were more strongly linked to shoot traits in monocultures and root traits in mixed communities. Structural equation modelling showed that above- and belowground traits and soil properties improved predictions of ecosystem C fluxes in monocultures, but not in mixed communities on the basis of community-weighted mean traits. 4. Synthesis: Our results from a single grassland habitat detected relationships in monocultures between above- and belowground plant traits, and between plant traits, soil properties and ecosystem C fluxes. However, these relationships were generally weaker or different in mixed communities. Our results demonstrate that while plant traits can be used to predict certain soil properties and ecosystem functions in monocultures, they are less effective for predicting how changes in plant species composition influence ecosystem functions in mixed communities.
Data from: Differential responses of ecosystem carbon flux components to experimental precipitation gradient in an alpine meadow
1. Changes in precipitation have the potential to cause dramatic changes in ecosystem carbon (C) cycling; however, it remains unclear whether different components of the net ecosystem exchange (NEE) (e.g., C uptake vs. release, plant vs. microbe respiration, aboveground vs. belowground plant respiration), have similar or differential sensitivity to precipitation gradients. 2. We conducted a manipulative field experiment (from 2015 to 2017) with six precipitation treatments, including 1/12 annual precipitation (P), 1/4 P, 1/2 P, 3/4 P, P, and 5/4 P in an alpine meadow to investigate the responses of the NEE components. 3. Over the three years, all C fluxes showed a nonlinear response to the precipitation gradients, except for root respiration. The most extreme drought treatment (1/12 P) caused strong reductions in NEE by 15.57%, gross primary productivity by 17.26%, and ecosystem respiration by 19.05%, in contrast to the control. Plant respiration was more sensitive to precipitation change than microbe respiration, and aboveground plant respiration was more susceptible than belowground respiration. Structural equation models revealed that the response of C fluxes under precipitation changes were primarily due to changes in the soil water content and aboveground net primary productivity. 4. Our findings indicate that future precipitation changes, particularly extreme drought, will decrease ecosystem C fluxes with different magnitudes, leading to a consequent reduction of NEE. These emergent ecosystem properties are essential for the improved elucidation of carbon cycle dynamics and benchmarking models, to predict ecosystem responses to precipitation changes.
Fluxes and concentrations of dissolved organic carbon in soils
<p>Dissolved organic carbon (DOC) in soil solution plays roles in soil C storage and biogeochemical cycles. Factors regulating fluxes and concentrations of DOC still remain unclear. To identify the factors regulating fluxes and concentrations of DOC in the soil profiles, we compiled the data of site information [Country, Region or state, Coordinates, Vegetation, Mean annual air temperature (ºC), Climate type, Vegetation type, Mycorrhiza type, Soil (USDA, Soil Taxonomy)], soil properties [Litter pH (H<sub>2</sub>O), Soil pH (H<sub>2</sub>O), Soil C/N ratio, Clay (%), Al<sub>o</sub>+1/2Fe<sub>o</sub> (g kg<sup>-1</sup>), O horizon C stock (Mg C ha<sup>-1</sup>), Mineral soil C stock (Mg C ha<sup>-1</sup>)], fluxes and concentrations of DOC [Throughfall DOC flux (kg C ha<sup>-1</sup> yr<sup>-1</sup>), DOC flux at the bottom of the O horizon (kg C ha<sup>-1</sup> yr<sup>-1</sup>), DOC flux at the bottom of the B horizon (kg C ha<sup>-1</sup> yr<sup>-1</sup>), DOC concentration at the bottom of the O horizon (mg C L<sup>-1</sup>), DOC concentration at the bottom of the B horizon (mg C L<sup>-1</sup>), DOC/Dissolved organic N (DON) (O horizon), DOC/DON (B horizon), Precipitation (mm yr<sup>-1</sup>), Water flux at the bottom of the O horizon (mm y<sup>r-1</sup>), Water flux at the bottom of B horizon (mm yr<sup>-1</sup>)], plant litter properties [Litterfall C input (Mg C ha<sup>-1</sup> yr<sup>-1</sup>), C/N ratio in litter, Lignin content in litter (%), Lignin/N ratio in litter, Root litter C input (Mg C ha<sup>-1</sup> yr<sup>-1</sup>)], and DOC retention in mineral soil (%), DOC flux relative to C input (%), Contribution of DOC to C input in mineral soil (%), and Turnover time of mineral soil C (yr)].</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)
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.