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407 results for “greenhouses”
Comparative aquatic greenhouse gas emission rates across multiple land-use types and along impounded river systems
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Effect of external thermal insulation layer on the Chinese solar greenhouse microclimate
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Data from: Lateralized courtship behaviors and mating success in Ostrinia furnacalis (Lepidoptera: Crambidae): A population-level study on maize plants under greenhouse conditions
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Greenhouse test of plant ecophysiological traits or responses to nitrogen:Effects of Long Term Fertilization and Oak Canopy Cover on Plant Communities and Ecosystem Processes
In 1996 E142 was established in field D on top of the E004 macroplots. E004 was conducted in fields A, B, C and D by Dave Tilman. The purpose of E004 was to see what effect NH4NO3 addition has on large areas over a longer period of time with exposure to naturally-occurring levels of herbivory. The nutrient addition treatments in E004, E142 plots have been applied annually since 1982. These experiments, along with others at Cedar Creek, examine the community and ecosystem consequences of chronic nutrient loading.
Data from MECO(n) model simulations on "Urban greenhouse gas emissions from the Berlin area: A case study using airborne CO2 and CH4 in situ observations in summer 2018"
<p>This tar-files contain the results of the MECO(n) model, which are published in</p> <p>T. Klausner, M. Mertens, H. Huntrieser, M. Galkowski, G. Kuhlmann, R. Baumann, A. Fiehn, P. Jöckel, M. Pühl, and A. Roiger: Urban greenhouse gas emissions from the Berlin area: A case study using airborne CO<sub>2</sub> and CH<sub>4</sub> in situ observations in summer 2018, Elementa: Science of the Anthropocene (Ref.: Ms. No. ELEMENTA-D-19-00074R1), 2019.</p>
Linking potential greenhouse gas and nitric oxide fluxes to soil microbial communities in incubation experiments with soil from the SAFE landscape
<b>Description: </b><p>Controlled lab experiment to measure potential GHG emissions and associated parameters from SAFE soil. Soil taken Nov 2016, lab experiment carried out Apr-May 2017. Day 0 is before fertilisation, day 1 application of NH4NO3 solution to simulate N deposition of approx. 5 kg N ha-1 y-1 . Day 15 for (OP2,OP7 and RR) application of NH4NO3 solution to simulate N deposition of approx 50 kg N ha-1 y-1.</p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/126"><b>Characterising soil microbial communities and measuring associated biogeochemical fluxes</b></a></p><p><b>Funding: </b>These data were collected as part of research funded by: </p><ul><li>NERC HMTF (Research Programme, (NE/K016091/1), <a href=" http://lombok.nerc-hmtf.info/"> http://lombok.nerc-hmtf.info/</a>)</li></ul><p>This dataset is released under the CC-BY 4.0 licence, requiring that you cite the dataset in any outputs, but has the additional condition that you acknowledge the contribution of these funders in any outputs.</p><p></p><p><b>Permits: </b>These data were collected under permit from the following authorities:</p><ul><li>Sabah Biodiversity Centre (Research licence JKM/MBS.1000-2/3 JLD.2 (115))</li></ul><p></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=3897394">here</a></p><p><b>Files: </b>This consists of 1 file: Lab_experiment_Melissa_corrected.xlsx</p><p><b>Lab_experiment_Melissa_corrected.xlsx</b></p><p>This file contains dataset metadata and 2 data tables:</p><ol><li><p><b>parameters_repeated_measures</b> (described in worksheet parameters_repeated_measures)</p><p>Description: soil characteristics</p><p>Number of fields: 16</p><p>Number of data rows: 207</p><p>Fields: </p><ul><li><b>core_id</b>: Location measurement was taken (Field type: id)</li><li><b>site</b>: Location measurement was taken (Field type: location)</li><li><b>landuse</b>: Land use of location (Field type: categorical)</li><li><b>day_of_exp</b>: day number (Field type: numeric)</li><li><b>flux_CH4</b>: Soil CH4 flux (Field type: numeric)</li><li><b>flux_CO2</b>: Soil CO2 flux (Field type: numeric)</li><li><b>flux_N2O-N</b>: Soil N2O flux (Field type: numeric)</li><li><b>flux_NO</b>: Soil NO flux (Field type: numeric)</li><li><b>NH4-N</b>: Soil NH4 concentration (Field type: numeric)</li><li><b>NO3-N</b>: Soil NO3 concentration (Field type: numeric)</li><li><b>soil_moisture</b>: Soil moisture around the flux chamber (Field type: numeric)</li><li><b>archaeal amoA</b>: Gene transcript abundance (Field type: numeric)</li><li><b>Proteobacteria_nirS</b>: Gene transcript abundance (Field type: numeric)</li><li><b>AniA_nirK</b>: Gene transcript abundance (Field type: numeric)</li><li><b>nosZ-I</b>: Gene transcript abundance (Field type: numeric)</li><li><b>nosZ-II</b>: Gene transcript abundance (Field type: numeric)</li></ul></li><li><p><b>parameters_one_off</b> (described in worksheet parameters_one_off)</p><p>Description: soil pH and density</p><p>Number of fields: 5</p><p>Number of data rows: 18</p><p>Fields: </p><ul><li><b>core id</b>: Location measurement was taken (Field type: id)</li><li><b>site</b>: Location measurement was taken (Field type: location)</li><li><b>landuse</b>: Land use of location (Field type: categorical)</li><li><b>pH</b>: Soil pH (Field type: numeric)</li><li><b>bulk_density</b>: dry weight of soil (Field type: numeric)</li></ul></li></ol><p><b>Date range: </b>2016-11-01 to 2017-05-30</p><p><b>Latitudinal extent: </b>4.5000 to 5.0700</p><p><b>Longitudinal extent: </b>116.7500 to 117.8200</p>
Data from: Greenhouse biogeography: the relationship of geographic range to invasion and extinction in the Cretaceous Western Interior Seaway
Significant warming of Earth's climate in the near term seems increasingly likely. If significant enough, this climatic regime could, in the long term, come to resemble previous greenhouse intervals in earth history. Consequently, analysis of the fossil record during periods of extreme warmth may provide important lessons for species biology, including biogeography, in a much warmer world. To explore this issue, we analyzed the biogeographic response of 63 molluscan species to the long-term global warmth in the Late Cretaceous Western Interior Seaway (WIS) of North America, using Geographic Information Systems (GIS) to quantitatively measure changes in range size and distribution throughout this interval. We specifically considered the role that geographic range size played in mediating extinction resistance and invasion potential of these WIS species. We found no relationship between geographic range size and survivorship. However, endemic species with small range sizes were more likely to become invasive. Finally, mollusks did not experience a poleward shift in range out of the tropics during this warm regime. To the extent that these patterns are representative, and the WIS and taxa considered constitute a reasonable ancient analogue to a warmer future world, these results suggest that some biogeographic "rules" may not prevail under greenhouse conditions of long-term, equable warmth. They also suggest that other factors beyond geographic range size, including distinctive niche characteristics, may play quite important roles in species survival and invasion potential. This potentially complicates predictions regarding the future responses of extant species to long-term warming.
Data from: No evidence that plant-soil feedback effects of native and invasive plant species under greenhouse conditions are reflected in the field
Plant–soil feedback (PSF) may affect above-ground higher trophic levels in glasshouse experiments, but evidence from field studies on the relevance of these multitrophic interactions for plant performance is lacking. Therefore, we examined whether PSF effects of several native and invasive plant species occur also in the field and influence plant damage by above-ground herbivores. Root zone soil from an abandoned urban field was used as inocula for the PSF experiment. First, we grew eight urban grassland plant species (five natives and three invasive species) separately in a glasshouse, with soil biota communities conditioned by the respective species itself ('home soil') or by a mixture of all other species ('foreign soil'). After 13 weeks, one cohort of the plants was placed on an urban field in Berlin to assess damage by naturally colonizing herbivores, while another cohort of the plants stayed in the glasshouse. We observed that the extent of the PSF effects differed between the field and glasshouse cohorts of plants. While we found positive PSF responses for five of the eight plant species in the glasshouse, we found no PSF effects in the field. Further, there was no trend that invasive or native species differed in the direction or extent of PSF responses. Concerning the leaf damage by herbivores of the field plants, we found no evidence that the soil history (home vs. foreign soil) affected the effects of above-ground herbivores on the plants. Synthesis. We conclude that PSF effects are more likely to be found under glasshouse conditions. In the field, PSFs seem to play a minor role for the selected urban grassland species. More generally, our study highlights the need to focus on PSFs under natural conditions and in natural communities (including higher trophic levels), which is often overlooked in PSF research.
Data from: Proximate controls on semiarid soil greenhouse gas fluxes across 3 million years of soil development
Soils are important sources and sinks of three greenhouse gases (GHGs): carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O). However, it is unknown whether semiarid landscapes are important contributors to global fluxes of these gases, partly because our mechanistic understanding of soil GHG fluxes is largely derived from more humid ecosystems. We designed this study with the objective of identifying the important soil physical and biogeochemical controls on soil GHG fluxes in semiarid soils by observing seasonal changes in soil GHG fluxes across a three million year substrate age gradient in northern Arizona. We also manipulated soil nitrogen (N) and phosphorus availability with 7 years of fertilization and used regression tree analysis to identify drivers of unfertilized and fertilized soil GHG fluxes. Similar to humid ecosystems, soil N2O flux was correlated with changes in N and water availability and soil CO2 efflux was correlated with changes in water availability and temperature. Soil CH4 uptake was greatest in relatively colder and wetter soils. While fertilization had few direct effects on soil CH4 flux, soil nitrate was an important predictor of soil CH4 uptake in unfertilized soils and soil ammonium was an important predictor of soil CH4 uptake in fertilized soil. Like in humid ecosystems, N gas loss via nitrification or denitrification appears to increase with increases in N and water availability during ecosystem development. Our results suggest that, with some exceptions, the drivers of soil GHG fluxes in semiarid ecosystems are often similar to those observed in more humid ecosystems.
Climate Changes in the Upper Atmosphere: Contributions by the Changing Greenhouse Gas Concentrations and Earth's Magnetic Field
<p>These are data that were used to write the paper: "Climate Changes in the Upper Atmosphere: Contributions by the Changing Greenhouse Gas Concentrations and Earth's Magnetic Field " by Liying Qian, Joseph M. McInerney, Stan S. Solomon, Hanli Liu, Alan G. Burns.</p>
Data from greenhouse gas study in Lake Ormstrup 2022
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Optimization of global crop distribution could reduce greenhouse gas emissions by one third but requires expanding international trade
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Dataset for "Projected thermally driven elderly mortality for Beijing under greenhouse gas and stratospheric aerosol geoengineering scenarios"
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Greenhouse predator-prey experiments
<p>Data set of the greenhouse experiment</p> <p> </p> <p>Field evaluation of the LED effect</p>
Data from: Driving factors on greenhouse gas emissions in permafrost region of Daxing'an Mountains, Northeast China
<p>Permafrost regions are an important source of greenhouse gases. However, the effects of different permafrost wetland types on greenhouse gas emissions and the driving factors are still unclear in the permafrost region. Here, we selected three typical permafrost wetlands from the Daxing'an Mountains to investigate the effects of permafrost wetland types on greenhouse gas emissions. <span class="fontstyle71"><span>The cumulative </span></span>N<sub>2</sub>O, CO<sub>2</sub>, and CH<sub>4</sub> emissions were 84–122, 657,942–1,446,121, and 173–16,924 kg km<sup>−2</sup>, respectively. The linear mixed effects model indicated that N<sub>2</sub>O emissions were significantly affected by the NO<sub>3</sub><sup>−</sup>-N content, whereas CO<sub>2</sub> emissions were mainly driven by soil temperature, water table level, and NO<sub>3</sub><sup>−</sup>-N content. CH<sub>4</sub> emissions were affected by soil temperatue and water table level. Permafrost wetland types significantly affected the average and cumulative N<sub>2</sub>O, CO<sub>2</sub>, and CH<sub>4</sub> emissions. The cumulative N<sub>2</sub>O emissions were highest in the <i>Larix gmelinii - Carex</i> <i>appendiculata </i>(<i>LC</i>) wetland and lowest in the <em>Betula fruticosa Pall. </em>(<em>B</em>) wetland<span class="fontstyle71"><span>, driven by </span></span>NO<sub>3</sub><sup>−</sup>-N content. The cumulative CO<sub>2</sub> emissions were highest in the (<em>B</em>) wetland and lowest in the <em>L. gmelinii</em> - Ledum palustre var. dilatatum (<em>LL</em>) wetland. The cumulative CH<sub>4</sub> emissions from <span class="fontstyle71"><span><i>B</i></span></span><span class="fontstyle71"><span> wetland were significantly higher than those from </span></span><i>LL</i> and <i>LC</i> wetlands. The differences in cumulative CO<sub>2</sub> and CH<sub>4 </sub>emissions were driven by the water table level. Our findings indicate that NO<sub>3</sub><sup>−</sup>-N content affect the spatial-temporal variation of N<sub>2</sub>O emissions, whereas water table level influence the spatial-temporal variation of CO<sub>2</sub> and CH<sub>4</sub> emissions in the permafrost region of the Daxing'an Mountains.</p>
Supplementary data for Life-cycle assessment shows that retrofitting coal-fired power plants with fuel cells will substantially reduce greenhouse gas emissions
<p>This dataset contains supplementary data for "Life-cycle assessment shows that retrofitting coal-fired power plants with fuel cells will substantially reduce greenhouse gas emissions" DOI: <strong>10.1016/j.oneear.2022.03.009</strong>.</p> <p>S1-S10 contains life-cycle inventories of solid oxide fuel cells, molten carbonate fuel cells, phosphoric acid fuel cells, and proton exchange membrane fuel cells with either natural gas or wind-electrolysis hydrogen as a feedstock.</p> <p>S11-S13 contains technological information of coal-fired power plants in China</p>
Supplementary material 1 from: Pearsons K, Mikó I, Tooker J (2017) The cyanide gland of the greenhouse millipede, Oxidus gracilis (Polydesmida: Paradoxosomatidae). Research Ideas and Outcomes 3: e12249. https://doi.org/10.3897/rio.3.e12249
Cyanide Gland Pore
Figure 3 from: Pearsons K, Mikó I, Tooker J (2017) The cyanide gland of the greenhouse millipede, Oxidus gracilis (Polydesmida: Paradoxosomatidae). Research Ideas and Outcomes 3: e12249. https://doi.org/10.3897/rio.3.e12249
Figure 3 - Top view of the juvenile millipede; the bright field in the lower flange is a gland storage chamber.
Figure 4 from: Pearsons K, Mikó I, Tooker J (2017) The cyanide gland of the greenhouse millipede, Oxidus gracilis (Polydesmida: Paradoxosomatidae). Research Ideas and Outcomes 3: e12249. https://doi.org/10.3897/rio.3.e12249
Figure 4 - Top/rotated view of the juvenile millipede. SC = storage chamber, RC = reaction chamber, MV = muscularized valve connecting the two chambers.
Figure 2 from: Pearsons K, Mikó I, Tooker J (2017) The cyanide gland of the greenhouse millipede, Oxidus gracilis (Polydesmida: Paradoxosomatidae). Research Ideas and Outcomes 3: e12249. https://doi.org/10.3897/rio.3.e12249
Figure 2 - CLSM volume rendered media file showing the cyanide gland of Oxidus gracilis (gland extract is the overexposed droplet).
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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.