Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
407
datasets available to search
ShareScore release 0.9.0
Dataset results
407 results for “greenhouses”
Arsenic immobilization and greenhouse gas emission depend on quantity and frequency of nitrogen fertilization in paddy soil
<p><span>Nitrogen (N) fertilization in paddy soils decreases arsenic mobility and methane emissions. However, it is unknown how quantity and frequency of N fertilization affects the interlinked redox reactions of iron(II)-driven denitrification, iron mineral (trans-)formation with subsequent arsenic (im-)mobilization, methane and nitrous oxide emissions, and how this links to microbiome composition. Thus, we incubated paddy soil from Vercelli, Italy, over 129 days and applied nitrate fertilizer at different concentrations (control: 0, low: ~35, medium: ~100, high: ~200 mg N kg<sup>-1 </sup>soil<sup>-1</sup>) once at the beginning and after 49 days. In the high N treatment, nitrate reduction was coupled to oxidation of dissolved and solid-phase iron(II), while naturally occurring arsenic was retained on iron minerals due to suppression of reductive iron(III) mineral dissolution. In the low N treatment, 40 µg L<sup>-1</sup> of arsenic was mobilized into solution after nitrate depletion, with 69% being immobilized after a second nitrate application. In the non-fertilized control, concentrations of dissolved arsenic were as high as 76 µg L<sup>-1</sup>, driven by mobilization of 36% of the initial mineral-bound arsenic. Generally, N fertilization led to 1.5-fold higher total GHG emissions (sum of CO<sub>2</sub>, CH<sub>4</sub> and N<sub>2</sub>O as CO<sub>2</sub> equivalents), 158-fold higher </span><span>N<sub>2</sub>O</span><span>, and 7.5-fold lower CH<sub>4</sub> emissions compared to non-fertilization. On day 37, <em>Gallionellaceae</em>, <em>Comamonadaceae</em> and <em>Rhodospirillales</em> were more abundant in the high N treatment compared to the non-fertilized control, indicating their potential role as key players in nitrate reduction coupled to iron(II) oxidation. The findings underscore the dual effect of N fertilization, immobilizing arsenic in the short-term (low/medium N) or long-term (high N), while simultaneously increasing N<sub>2</sub>O and lowering CH<sub>4</sub> emissions. This highlights the significance of both the quantity and frequency of N fertilizer application in paddy soils. </span></p>
From circles to cubes: Exploring the effectiveness of different geometric shapes in trapping Greenhouse Whiteflies, Trialeurodes vaporariorum (Hemiptera: Aleyrodidae)
Open the record for dataset details and reuse information.
Greenhouse gases (GHG) profiling over Cyprus with Aircore
<p>AirCore is a unique system for sampling air and rendering vertical profiles of greenhouse gases (GHGs) concentrations from the surface up to the stratosphere. Carried out by a weather balloon filled with helium, it can reach altitudes up to 35 km. On the ascending phase the tube empties out (via expansion along with decreasing atmospheric pressure) and samples the ambient air on the descending phase (via compression). Once at ground level the sample is analysed to measure CO2 CH4 and CO concentrations using a Cavity Ring Down Spectrometer (CRDS).</p> <p>In collaboration with LSCE and the French Aircore (AC) program, AC activities have been initiated in June 2020 in Cyprus within the framework of the EMME-CARE (Eastern Mediterranean and Middle East – Climate and Atmosphere Research). The EMME region has been identified as a global climate change "hot spot". Climate and atmosphere research is now taking place with the establishment of a regional Centre of Excellence.</p> <p> </p> <p>This project has received funding rom the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 856612 and the Cyprus Government.</p> <p> </p>
Attachment, titled: "Analysis of Greenhouse Regulation Impact using GBCI Tools as measurement"
Open the record for dataset details and reuse information.
Unraveling the role of soil acidity alleviation strategies on greenhouse gas emissions under conventional and no-tilled system
<p>Supplementary Material </p>
FIGURE 2. Pseudocamelina kermanica. A. Plant. B. Basal leaf from greenhouse rosette grown fom a in A taxonomic revision of the genus Pseudocamelina (Brasssicaceae, tribe Thlaspideae)
FIGURE 2. Pseudocamelina kermanica. A. Plant. B. Basal leaf from greenhouse rosette grown fom a seed of isotype. C. Fruit. Drawn by Al-Shehbaz from the isotype (MO-6737248).
Sea ice feedbacks cause more greenhouse cooling than greenhouse warming at high northern latitudes on multi-century timescales
<p>Figure and data files for Kay et al. (revised) to Environmental Research Letters, September 6, 2024</p>
Data for Greenhouse gas budgets of Central and West Asia (2000-2020)
<p>The data and code provided are utilized to support the conclusions of "Greenhouse gas budgets of Central and West Asia (2000-2020): A significant net source to the atmosphere" (submitted). The dataset comprises the processed ensemble mean values at both national and regional scales. Please note that in the dataset, "NBP" represents the NBP fluxes from TRENDY v11 models, "Wetland CH4" represents the wetland CH4 emission estimates from Terrestrial Biosphere Models in the Global Methane Budget, "Natural Soil N2O" represents the natural soil N2O emissions as estimated by NMIP2 models, and "Inversions" represents the inversion fluxes for each GHG. More detailed information about the meaning and data sources of each sector can be found in the Methods section of the manuscript and in Supplementary Information S1.</p>
Data for Greenhouse gas budgets of Central and West Asia (2000-2020)
<p>The data and code provided are utilized to support the conclusions of "Greenhouse gas budgets of Central and West Asia (2000-2020): A significant net source to the atmosphere." The dataset comprises the processed ensemble mean values at both national and regional scales. Please note that in the dataset, "TD_total" represents the inversion fluxes for each GHG, "NBP" represents the NBP fluxes from TRENDY, "Wetland_ch4" represents the wetland CH4 emission estimates from Terrestrial Biosphere Models in the Global Methane Budget, and "Soil_n2o" represents the soil N2O emissions as estimated by NMIP2 models. More detailed information about the meaning and data sources of each sector and subsector can be found in the Methods section of the manuscript and in Supplementary Information S1.</p>
Resampling code with sample data for: Eddy-covariance with slow-response greenhouse gas analyser on tall towers
Open the record for dataset details and reuse information.
EVALUATION OF THE EFFECTIVENESS OF TCHNICAL AND SANITARY-HYGIENIC SOLUTIONS FOR STUDYING AND IMPROVING WORKING CONDITIONS IN GREENHOUSES.
<p><em><span>At present, one of the most pressing issues is the rapid growth of the world's population and their production, ensuring the safe operation of all aspects of the tasks involved in the development of agro-industrial systems. how much work is being done. The Action Strategy pursued by the President for 2021-2024 is of great importance as a key link in the radical reform of the agro-industrial system, the creation of safe conditions for workers in the cultivation of safe and competitive agricultural products. </span></em></p>
Data and code - Reducing greenhouse gas emissions from North American soybean production
<p>Database and R code for the figures and tables in the article "Reducing greenhouse gas emissions from North American soybean production", <em>Nat. Sust. </em>(2024).</p>
Dataset article "Management and restoration of Mediterranean inland saline lakes to reduce greenhouse gas emissions"
Open the record for dataset details and reuse information.
Greenhouse Gases Data for Lake Nokoué (Benin, West Africa)
<p><span>The file contains, mixing ratio of CO<sub>2</sub>, CH<sub>4</sub> and N<sub>2</sub>O from bubbles, surface water concentrations, as well as both ebullitive and diffusive fluxes from Lake Nokoué, located in Benin (West Africa).</span></p>
Effect of external thermal insulation layer on the Chinese solar greenhouse microclimate
<p><span><span>In order to optimize the heat preservation capacity of Chinese solar greenhouse (CSG) and further reduce energy consumption, we clarified the mechanism of the external thermal insulation layer that affecting the microclimate environment of CSG. The most excellent thickness of the external insulation layer of the solar greenhouse envelope structure in high latitude and cold region has been indicated. A three-dimensional mathematical model was developed based on computational fluid dynamics (CFD) and verified using experimental measurement. The temperature variations, heat variations and economic benefit were analyzed. The results indicated that covering the outer surface of the enclosures with a thermal insulation layer could effectively increase the greenhouse temperature by 1.2~4.0°C. SW had the lowest unit cost (USD 282.52/°C), but it limited the increase in greenhouse air temperature. Covering the outer surface of the north wall with insulation layer has better profitability and higher cost performance than that of the side wall and the north roof. During the construction of the greenhouse in high latitude and cold region, CC as the optimal solution could raise the greenhouse air temperature maximally. The optimal thickness of the external insulation layer of each maintenance structure is obtained as follows: north wall 80 mm, side wall 80 mm, north roof 100 mm.</span></span></p>
FIGURE 3 in A new species in the genus Phyllocoptes Nalepa (Eriophyidae) from greenhouse roses in Poland
FIGURE 3: SEM photograph of Phyllocoptes resovius n. sp. – dorsal view.
Source data used to reproduce global maps for Ou et al. 2021 (Deep Mitigation of CO2 and non-CO2 Greenhouse Gases towards 1.5°C and 2°C Futures)
<p>Shape file and R code used to reproduce Fig 3d and SI figures with global maps, using an open-source R package "sf" (https://r-spatial.github.io/sf/ ) </p>
Net greenhouse gas balance of fiber wood plantation on peat in Indonesia
<p>Tropical peatlands cycle and store globally significant amounts of carbon in their soil and biomass. Climate and land-use change alter greenhouse gas (GHG) fluxes of tropical peatlands, but the magnitude of these changes remains highly uncertain owing to limited measurements. We measured net ecosystem exchanges of carbon dioxide (CO<sub>2</sub>) and methane (CH<sub>4</sub>) as well as soil nitrous oxide (N<sub>2</sub>O) fluxes between mid-2016 and mid-2022 from <em>Acacia</em> <em>crassicarpa</em> plantation, degraded forest and intact forest within the same peat landscape to represent land-cover change trajectories in Sumatra, Indonesia. Here we report the first full plantation rotation GHG balance investigation undertaken in any fiber wood plantation on peatland globally. The <em>Acacia</em> plantation was found to have lower GHG emissions than the degraded peatland, which had a similar mean groundwater level, despite more intensive land-use. The GHG emissions from the <em>Acacia</em> plantation over a full plantation rotation (38.3 ± 4.8 tCO<sub>2</sub>-eq ha<sup>−1</sup> yr<sup>−1</sup>, average ± standard deviation) were two times higher than those from the intact forest (20.1 ± 3.7 tCO<sub>2</sub>-eq ha<sup>−1</sup> yr<sup>−1</sup>), but only around half of the current IPCC Tier 1 emission factor for this land-use. Our results should help to reduce the uncertainty in the estimation of GHG emissions from globally important ecosystems, provide a complete estimate of the impact of land-use change on tropical peat, and develop science-based peatland management practices that help to minimize GHG emissions.</p>
Net greenhouse gas balance of fiber wood plantation on peat in Indonesia
<p>Tropical peatlands cycle and store large amounts of carbon in their soil and biomass<sup>1</sup><sup>-</sup><sup>5</sup>. Climate and land-use change alter greenhouse gas fluxes of tropical peatlands, but the magnitude of these changes remains highly uncertain<sup>6</sup><sup>-</sup><sup>19</sup>. Here we measure net ecosystem exchanges of carbon dioxide, methane, and soil nitrous oxide fluxes between October 2016 - May 2022 from <em>Acacia</em> <em>crassicarpa</em> plantation, degraded forest and intact forest within the same peat landscape, representing land-cover change trajectories in Sumatra, Indonesia. This allows us to present a full plantation rotation greenhouse gas flux balance in fiber wood plantation on peatland. We find that the <em>Acacia</em> plantation has lower greenhouse gas emissions than the degraded site with a similar average groundwater level, despite more intensive land-use. The greenhouse gas emissions from the <em>Acacia</em> plantation over a full plantation rotation (35.2 ± 4.7 tCO<sub>2</sub>-eq ha<sup>−1</sup> yr<sup>−1</sup>, average ± standard deviation) were around two times higher than those from the intact forest (20.3 ± 3.7 tCO<sub>2</sub>-eq ha<sup>−1</sup> yr<sup>−1</sup>), but only half of the current IPCC Tier 1 emission factor<sup>20</sup> for this land-use. Our results can help to reduce the uncertainty in greenhouse gas emissions estimates, provide an estimate of the impact of land-use change on tropical peat, and develop science-based peatland management practices as nature-based climate solutions.</p>
Data to reproduce figures for the paper "The Effect of Tropical Pacific Air-sea Coupling on the Rainfall Response to Abrupt Greenhouse Gas Forcing"
<p>Data to reproduce figures for the paper "The Effect of Air-sea Coupling over the Tropical Pacific on the Response in Rainfall to Abrupt Greenhouse Gas Forcing".</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.