- home
- Advanced Search
- NEANIAS Atmospheric Research Community
- Open Access
- Research data
- Research software
- NEANIAS Atmospheric Research Community
- Open Access
- Research data
- Research software
Loading
Research data keyboard_double_arrow_right Dataset 2024 EnglishPublisher:Zenodo Funded by:EC | RESONANCESEC| RESONANCESAuthors: Canepa, Elisabetta;Canepa, Elisabetta;This dataset is an output of the RESONANCES physiological signal-based testing protocol aimed at recognizing and measuring atmospheric emotions. It contains the virtual reality (VR) settings designed to carry out the experiment: a dark, blue, amber, and bright corridor. The training configuration is helpful to teach participants to memorize the protocol, become familiar with the VR technology, and interact with the questionnaire interface. This dataset is made of 7 files:no. 1 dataset summary (.pdf)no. 1 instructions sheet (.txt)no. 5 zipped folders (.zip) including files to run the VR settings (00_Corridor_Training; 01_Corridor_Dark; 02_Corridor_Amber; 03_Corridor_Blue; 04_Corridor_Bright) This database was developed within the RESONANCES project — Architectural Atmospheres: The Emotional Impact of Ambiances Measured through Conscious, Bodily, and Neural Responses. This project received funding from the European Union's Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement no. 101025132. The content of this work reflects only the authors' view. The European Research Executive Agency is not responsible for any use that may be made of the information it contains.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.10684623&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.10684623&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2024Publisher:Mendeley Data Authors: Jingyu, Yao;Jingyu, Yao;Includes software code and numerical simulation results
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.17632/kvkjs648ss&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.17632/kvkjs648ss&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2024Publisher:Mendeley Data Authors: Tello-Leal, E;Tello-Leal, E;The dataset was collected in 4 areas of Reynosa, Tamaulipas, Mexico, from February 22 to 28, 2022. Each monitoring station is located in areas with different characteristics concerning the possible emission sources of particulate matter pollutants of the PM1 fraction size. The locations are at the residential, commercial, industrial, avenues, and boulevard levels with high vehicle traffic and heavy cargo transportation and close to the international airport. PM1 concentration values were measured using a PMS7003 low-cost sensor, with one sample per minute. Particulate matter or suspended particles (PM) are among the main air pollutants, which can be classified according to their aerodynamic diameter into PM10 < 10 μm, PM2.5 < 2.5 μm (fine), and PM1 < 0.1 μm (ultrafine). Fine particles can easily penetrate the respiratory tract to the alveoli, and ultrafine particles (<0.1 μm) can reach the blood by crossing the endothelial barrier. THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOVE
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.17632/djnkmx3tzn.1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.17632/djnkmx3tzn.1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2024Publisher:Zenodo Teppei J. Yasunari; Daiju Narita; Toshihiko Takemura; Shigeto Wakabayashi; Akira Takeshima;The dataset contains some of the outputs from the global climate model experiments by MIROC5 on changing Siberian wildfire severities, the analyzed data, and the scripts for analyses, which were used in the following submitted paper. Note that this dataset also includes unused data for the paper: Yasunari, T. J., D. Narita, T. Takemura, S. Wakabayashi, and A. Takeshima, Comprehensive Impact of Changing Siberian Wildfire Severities on Air Quality, Climate, and Economy: MIROC5 Global Climate Model's Sensitivity Assessments, submitted. Please read the READ_ME files for detailed information in each directory (especially see the "about_figures/" directory first). Because of their large sizes, the data were separated into three zipped files.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.7784059&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 23visibility views 23 download downloads 1 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.7784059&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2024Publisher:Mendeley Data Authors: Zhang, Yuxiang;Zhang, Yuxiang;1. Supplementary tables: Tables S1-S22. Supplementary figures: Figs. S1-S43. Supplementary dataset containing the global arc volcano averages and raw arc data THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOVE
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.17632/zf68kt7x34&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.17632/zf68kt7x34&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2024Publisher:Mendeley Data Authors: Fajt, M;Fajt, M;Precise evaluation of rock filtration and capacity properties is challenging, particularly in unconventional reservoir formations with high clay content. This data set contains T2 relaxation time distributions of two different Low-Field Nuclear Magnetic resonance (LF-NMR) approaches, standard and modified differential, along with the Mercury Injection Capillary Pressure (MICP) Pore throat size distribution. The modified differential approach employs the subtraction of the dried sample signal from the signal of the 100 % water-saturated sample before taking the Laplace transform, giving a differential distribution devoid of the unwanted signals from rock matrix, closed porosity and clay-bound water. In the proposed PSD conversion workflow based on the percolation theory, a power function relationship between differential LF-NMR transverse relaxation time T2 and MICP pore-throat diameter can be established, enabling the determination of LF-NMR absolute pore size distribution and pseudo capillary pressure (Pc) curves for clay-rich samples. THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOVE
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.17632/8zchvckp4h&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.17632/8zchvckp4h&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2024Publisher:Mendeley Data Authors: LIU, B;LIU, B;This dataset contains the code and input files for simulating deformation and dispersion of Nd-Hf isotopic heterogeneities beneath mid-ocean ridges. The original code is implemented on Windows Subsystem for Linux version-2 (https://github.com/microsoft/WSL/releases). Deal.ii library (https://www.dealii.org/) is required before compiling the code and running the model.Author: Boda Liuboda_liu@hotmail.com THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOVE
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.17632/ttt9txmspd.1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.17632/ttt9txmspd.1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2024 EnglishPublisher:Zenodo Authors: Malings, Carl;Malings, Carl;Output data needed to generate reuslts and figures presented in the paper "Air Quality Estimation and Forecasting via Data Fusion with Uncertainty Quantification: Theoretical Framework and Preliminary Results". Figures.py is a python code which generates the figures presented in the manuscript. This code takes input from data saved in NetCDF files with the naming format "Crossvalidation_Results_AA_MMMYYYY.nc", where "AA" is the application area (SF for San Francisco; NY for New York City) and "MMMYYY" is the month and year of the application period. All data and codes should be downloaded to a local directory. This directory needs to be specified within the python code as the s_folder variable.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.10650853&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.10650853&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2024 EnglishPublisher:Uppsala University Authors: Teutschbein, Claudia;Teutschbein, Claudia;Datamängden består av dagliga observationer av nederbörd, temperatur och avrinning för 50 avrinningsområden i Sverige över en 60-årsperiod (1961-2020). Utöver dessa observationer innehåller datamängden även information om geografiskt läge, marktäckning, jordtyper, hydrologiska signaturer och reglering för varje avrinningsområde. Informationen samlades in från olika källor, inklusive Sveriges meteorologiska och hydrologiska institut (SMHI), Sveriges geologiska undersökning (SGU) samt flera Copernicus-produkter som tillhandahölls av European Environment Agency. De sammanställda, geografiskt matchade och bearbetade uppgifterna är tillgängliga online. Datasetet omfattar två definierade "klimatnormalperioder": 1961-1990 och 1991-2020 och innehåller en bred variation av hydroklimatiska, topografiska och miljömässiga egenskaper, vilket gör det till en ovärderlig resurs för både forskare och praktiker. Det kan ge insikter i hydrologiska processer, möjliggör utforskning av klimatförändringars påverkan samt stödjer utformningen av hållbara strategier för vattenförvaltning. På grund av den långa tidsperioden lämpar sig datasetet för kalibrering av modeller, utbildning, metodutveckling och främjar tvärvetenskaplig forskning över olika discipliner. Det utgör en viktig grund för att förstå och hantera vattenrelaterade utmaningar i en föränderlig miljö. This community-accessible dataset comprises daily hydroclimatic variables (precipitation, temperature, and streamflow) observed across 50 catchments in Sweden. The dataset covers a 60-year period (1961-2020) and includes information on geographical location, landcover, soil types, hydrologic signatures, and regulation for each catchment. Data was collected from various sources, such as the Swedish Meteorological and Hydrological Institute (SMHI), the Swedish Geological Survey (SGU) and several Copernicus products provided by the European Environment Agency. The compiled, spatially-matched, and processed data is publicly available online. The dataset spans two designated 'climate normal periods' (CNPs): 1961-1990 and 1991-2020, and a wide range of hydroclimatic, topographic and environmental catchment properties, making it a valuable resource for researchers and practitioners to gain in-depth insights into hydrological processes, explore climate change impacts, and devise sustainable water management strategies. With its long record period and versatility, the dataset is a great resource for model calibration, education, method development, and fostering transdisciplinary research across various disciplines.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.57804/t3rm-v029&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.57804/t3rm-v029&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2024 EnglishPublisher:Zenodo Authors: Gilleaudeau, Geoffrey;Gilleaudeau, Geoffrey;Carbonate carbon isotope, organic carbon isotope, oxygen isotope, uranium isotope, and elemental geochemical data across the Toarcian Oceanic Anoxic Event from the Mercato San Severino section, southern Italy
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.10638025&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.10638025&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu
Loading
Research data keyboard_double_arrow_right Dataset 2024 EnglishPublisher:Zenodo Funded by:EC | RESONANCESEC| RESONANCESAuthors: Canepa, Elisabetta;Canepa, Elisabetta;This dataset is an output of the RESONANCES physiological signal-based testing protocol aimed at recognizing and measuring atmospheric emotions. It contains the virtual reality (VR) settings designed to carry out the experiment: a dark, blue, amber, and bright corridor. The training configuration is helpful to teach participants to memorize the protocol, become familiar with the VR technology, and interact with the questionnaire interface. This dataset is made of 7 files:no. 1 dataset summary (.pdf)no. 1 instructions sheet (.txt)no. 5 zipped folders (.zip) including files to run the VR settings (00_Corridor_Training; 01_Corridor_Dark; 02_Corridor_Amber; 03_Corridor_Blue; 04_Corridor_Bright) This database was developed within the RESONANCES project — Architectural Atmospheres: The Emotional Impact of Ambiances Measured through Conscious, Bodily, and Neural Responses. This project received funding from the European Union's Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement no. 101025132. The content of this work reflects only the authors' view. The European Research Executive Agency is not responsible for any use that may be made of the information it contains.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.10684623&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.10684623&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2024Publisher:Mendeley Data Authors: Jingyu, Yao;Jingyu, Yao;Includes software code and numerical simulation results
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.17632/kvkjs648ss&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.17632/kvkjs648ss&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2024Publisher:Mendeley Data Authors: Tello-Leal, E;Tello-Leal, E;The dataset was collected in 4 areas of Reynosa, Tamaulipas, Mexico, from February 22 to 28, 2022. Each monitoring station is located in areas with different characteristics concerning the possible emission sources of particulate matter pollutants of the PM1 fraction size. The locations are at the residential, commercial, industrial, avenues, and boulevard levels with high vehicle traffic and heavy cargo transportation and close to the international airport. PM1 concentration values were measured using a PMS7003 low-cost sensor, with one sample per minute. Particulate matter or suspended particles (PM) are among the main air pollutants, which can be classified according to their aerodynamic diameter into PM10 < 10 μm, PM2.5 < 2.5 μm (fine), and PM1 < 0.1 μm (ultrafine). Fine particles can easily penetrate the respiratory tract to the alveoli, and ultrafine particles (<0.1 μm) can reach the blood by crossing the endothelial barrier. THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOVE
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.17632/djnkmx3tzn.1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.17632/djnkmx3tzn.1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2024Publisher:Zenodo Teppei J. Yasunari; Daiju Narita; Toshihiko Takemura; Shigeto Wakabayashi; Akira Takeshima;The dataset contains some of the outputs from the global climate model experiments by MIROC5 on changing Siberian wildfire severities, the analyzed data, and the scripts for analyses, which were used in the following submitted paper. Note that this dataset also includes unused data for the paper: Yasunari, T. J., D. Narita, T. Takemura, S. Wakabayashi, and A. Takeshima, Comprehensive Impact of Changing Siberian Wildfire Severities on Air Quality, Climate, and Economy: MIROC5 Global Climate Model's Sensitivity Assessments, submitted. Please read the READ_ME files for detailed information in each directory (especially see the "about_figures/" directory first). Because of their large sizes, the data were separated into three zipped files.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.7784059&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 23visibility views 23 download downloads 1 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.7784059&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2024Publisher:Mendeley Data Authors: Zhang, Yuxiang;Zhang, Yuxiang;1. Supplementary tables: Tables S1-S22. Supplementary figures: Figs. S1-S43. Supplementary dataset containing the global arc volcano averages and raw arc data THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOVE
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.17632/zf68kt7x34&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.17632/zf68kt7x34&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2024Publisher:Mendeley Data Authors: Fajt, M;Fajt, M;Precise evaluation of rock filtration and capacity properties is challenging, particularly in unconventional reservoir formations with high clay content. This data set contains T2 relaxation time distributions of two different Low-Field Nuclear Magnetic resonance (LF-NMR) approaches, standard and modified differential, along with the Mercury Injection Capillary Pressure (MICP) Pore throat size distribution. The modified differential approach employs the subtraction of the dried sample signal from the signal of the 100 % water-saturated sample before taking the Laplace transform, giving a differential distribution devoid of the unwanted signals from rock matrix, closed porosity and clay-bound water. In the proposed PSD conversion workflow based on the percolation theory, a power function relationship between differential LF-NMR transverse relaxation time T2 and MICP pore-throat diameter can be established, enabling the determination of LF-NMR absolute pore size distribution and pseudo capillary pressure (Pc) curves for clay-rich samples. THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOVE
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.17632/8zchvckp4h&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.17632/8zchvckp4h&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2024Publisher:Mendeley Data Authors: LIU, B;LIU, B;This dataset contains the code and input files for simulating deformation and dispersion of Nd-Hf isotopic heterogeneities beneath mid-ocean ridges. The original code is implemented on Windows Subsystem for Linux version-2 (https://github.com/microsoft/WSL/releases). Deal.ii library (https://www.dealii.org/) is required before compiling the code and running the model.Author: Boda Liuboda_liu@hotmail.com THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOVE
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.17632/ttt9txmspd.1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.17632/ttt9txmspd.1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2024 EnglishPublisher:Zenodo Authors: Malings, Carl;Malings, Carl;Output data needed to generate reuslts and figures presented in the paper "Air Quality Estimation and Forecasting via Data Fusion with Uncertainty Quantification: Theoretical Framework and Preliminary Results". Figures.py is a python code which generates the figures presented in the manuscript. This code takes input from data saved in NetCDF files with the naming format "Crossvalidation_Results_AA_MMMYYYY.nc", where "AA" is the application area (SF for San Francisco; NY for New York City) and "MMMYYY" is the month and year of the application period. All data and codes should be downloaded to a local directory. This directory needs to be specified within the python code as the s_folder variable.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.10650853&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.10650853&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2024 EnglishPublisher:Uppsala University Authors: Teutschbein, Claudia;Teutschbein, Claudia;Datamängden består av dagliga observationer av nederbörd, temperatur och avrinning för 50 avrinningsområden i Sverige över en 60-årsperiod (1961-2020). Utöver dessa observationer innehåller datamängden även information om geografiskt läge, marktäckning, jordtyper, hydrologiska signaturer och reglering för varje avrinningsområde. Informationen samlades in från olika källor, inklusive Sveriges meteorologiska och hydrologiska institut (SMHI), Sveriges geologiska undersökning (SGU) samt flera Copernicus-produkter som tillhandahölls av European Environment Agency. De sammanställda, geografiskt matchade och bearbetade uppgifterna är tillgängliga online. Datasetet omfattar två definierade "klimatnormalperioder": 1961-1990 och 1991-2020 och innehåller en bred variation av hydroklimatiska, topografiska och miljömässiga egenskaper, vilket gör det till en ovärderlig resurs för både forskare och praktiker. Det kan ge insikter i hydrologiska processer, möjliggör utforskning av klimatförändringars påverkan samt stödjer utformningen av hållbara strategier för vattenförvaltning. På grund av den långa tidsperioden lämpar sig datasetet för kalibrering av modeller, utbildning, metodutveckling och främjar tvärvetenskaplig forskning över olika discipliner. Det utgör en viktig grund för att förstå och hantera vattenrelaterade utmaningar i en föränderlig miljö. This community-accessible dataset comprises daily hydroclimatic variables (precipitation, temperature, and streamflow) observed across 50 catchments in Sweden. The dataset covers a 60-year period (1961-2020) and includes information on geographical location, landcover, soil types, hydrologic signatures, and regulation for each catchment. Data was collected from various sources, such as the Swedish Meteorological and Hydrological Institute (SMHI), the Swedish Geological Survey (SGU) and several Copernicus products provided by the European Environment Agency. The compiled, spatially-matched, and processed data is publicly available online. The dataset spans two designated 'climate normal periods' (CNPs): 1961-1990 and 1991-2020, and a wide range of hydroclimatic, topographic and environmental catchment properties, making it a valuable resource for researchers and practitioners to gain in-depth insights into hydrological processes, explore climate change impacts, and devise sustainable water management strategies. With its long record period and versatility, the dataset is a great resource for model calibration, education, method development, and fostering transdisciplinary research across various disciplines.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.57804/t3rm-v029&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.57804/t3rm-v029&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2024 EnglishPublisher:Zenodo Authors: Gilleaudeau, Geoffrey;Gilleaudeau, Geoffrey;Carbonate carbon isotope, organic carbon isotope, oxygen isotope, uranium isotope, and elemental geochemical data across the Toarcian Oceanic Anoxic Event from the Mercato San Severino section, southern Italy
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.10638025&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.10638025&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu