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Research data keyboard_double_arrow_right Dataset 2023Publisher:PANGAEA Gebruk, Anna; Dgebuadze, Polina; Rogozhin, Vladimir; Ermilova, Yulia; Shabalin, Nikolay; Mokievsky, Vadim;The dataset comprises full list of species of macrozoobenthos collected from the Pechora Sea (SE Barents Sea). Grab samples were collected from 10 stations in the Pechora Bay from aboard RV Kartesh in 2020-2021. Macrobenthic invertebrates were identified with the maximum level of certainty through optical microscopy using regional taxonomic keys. All taxonomic names were standardised using the World Register of Marine Species (WoRMS). All specimens have been counted and weighted (wet biomass) on Ohaus Adventurer scales with reported accuracy to 0.01 g. Bivalve molluscs and gastropods were weighed in shells. Biomass (g. m-2) and abundance (ind m-2) are used to characterise macrozoobenthos. The sampling and identification work was carried out in collaboration with specialists from Lomonosov Moscow State University Marine Research Center and P.P. Shirshov Institute of Oceanology.
PANGAEA - Data Publi... arrow_drop_down PANGAEA - Data Publisher for Earth and Environmental ScienceDataset . 2023License: CC BYData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu1 citations 1 popularity Top 10% influence Average impulse Average Powered by BIP!
more_vert PANGAEA - Data Publi... arrow_drop_down PANGAEA - Data Publisher for Earth and Environmental ScienceDataset . 2023License: CC BYData sources: Dataciteadd 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.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2017 Russian FederationPublisher:UNIV EL OUED, FAC SCIENCE & TECHNOLOGY Authors: Liliya Radikovna Sakaeva; Ekaterina V. Martynova; R. R. Khairutdinov; Diana Khakimzyanova; +4 AuthorsLiliya Radikovna Sakaeva; Ekaterina V. Martynova; R. R. Khairutdinov; Diana Khakimzyanova; I. Khanipova; G. Ibragimov; I. B. Bashirova; A. F. Gainutdinova;doi: 10.4314/jfas.v9i7s
In this article, to improve the performance of metal cylindrical mesh shells used as roofs for modern construction projects, the sub-aperture diaphragms and the corresponding nodal connections are proposed in the context of the problem of the increased vulnerability of individual sections from actual loads. Finite element models are designed taking into account minimization of production and assembly costs, special features of load perception and structural geometry changes in an acceptable range of overall parameters. The effect of sustaining elements located in the direction of the arc of the circle on the percentage of depletion of the bearing capacity and the maximum value of the deflection of circular mesh surfaces with square and rectangular cells are investigated. An economical design solution of IFI type unit is used to increase the bearing capacity and reduce the deformation of rectangular cylindrical multi-element grids. A joint connection which improves operational characteristics of a structure taking into account the features of the geometric formation and spatial design of the structures has been developed. The force factors and deformation parameters of the basic circuits of a cylindrical mesh surface are checked with conventional and developed joint connections. Increased rigidity and stability of the structure due to the introduction of the diaphragms and the use of units with sustaining elements have been achieved.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
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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://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.4314/jfas.v9i7s&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2018Publisher:GJESM Publisher Authors: D.A. Savchuk; S.L. Bondarenko;The present study was focused to examine the combined effects of climate and ultraviolet-B radiation on conifer tree-ring density. Statistical methods were employed to extract tree responses in annual ring density and to identify functional relationship in trees when the level of ultraviolet-B radiation changes regardless of climate variations. In this study, the consideration was given to the series of total ozone content (instead of ultraviolet-B), tree-ring density, and De Martonne aridity index. After the correlation analysis, all trees were divided into two groups: 1) Trees whose correlation between tree ring density and UV-B values in April is significantly positive; 2) Trees whose correlation between tree ring density and aridity index values in March-September is significantly negative. Then, tree-ring series for the Swiss Alps in each group were generalized and decomposed into separate components: long period trends, ultraviolet-B and climatic signals. For the ultraviolet-B-responsive tree group in the period 1932-1974, the correlation coefficient between the density and ultraviolet-B was 0.55 at p
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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.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Other literature type 2019Publisher:OpenAlex Dmitry Schepaschenko; Jérôme Chave; Oliver L. Phillips; Simon L. Lewis; Stuart J. Davies; Maxime Réjou‐Méchain; Plínio Sist; Klaus Scipal; Christoph Perger; Bruno Hérault; Nicolas Labrière; Florian Hofhansl; Kofi Affum‐Baffoe; Alfonso Alonso; Christian Amani; Alejandro Araujo‐Murakami; John Armston; Luzmila Arroyo; Nataly Ascarrunz; C. P. de Azevedo; Timothy R. Baker; Radomir Bałazy; Caroline Bedeau; Nicholas Berry; Andrii Bilous; Pulchérie Bissiengou; Lilian Blanc; Tatyana Braslavskaya; Roel Brienen; David F. R. P. Burslem; Richard Condit; Aida Cuní-Sanchez; Dennis Del Castillo-Torres; Géraldine Derroire; Laurent Descroix; Eleneide Doff Sotta; Marcus Vn d'Oliveira; Christopher Dresel; Terry L. Erwin; Jan Falck; Ted R. Feldpausch; Ernest G. Foli; Robin B. Foster; Steffen Fritz; Antonio García‐Abril; Ernest Gothard-Bassébé; Sylvie Gourlet‐Fleury; Marcelino Carneiro Guedes; Keith C. Hamer; Farida Herry Susanty; Níro Higuchi; Eurídice N. Honorio Coronado; Wannes Hubau; Stephen P. Hubbell; Ulrik Ilstedt; Milton Kanashiro; Anders Karlsson; Viktor Karminov; Timothy J. Killeen; Jean-Claude Konan Koffi; Florian Kraxner; Jan Krejza; Haruni Krisnawati; Leonid Krivobokov; M. A. Kuznetsov; Ivan Lakyda; Petro Lakyda; Juan Carlos Licona; Richard Lucas; Daniel Lussetti; Yadvinder Malhi; J. A. Manzanera; Beatriz Schwantes Marimon; Ben Hur Marimon; Rodolfo Vásquez Martínez; Olga Martynenko; Maksym Matsala; Raisa K. Matyashuk; Lucas Mazzei; Hervé Memiaghe; Casimiro Mendoza; Abel Monteagudo Mendoza; Olga V. Moroziuk; Liudmila Mukhortova; Samsudin Musa; Toshinori Okuda; Luís Cláudio de Oliveira; Petr Ontikov;La biomasse forestière est un indicateur essentiel pour la surveillance des écosystèmes et du climat de la Terre. Il s'agit d'une contribution essentielle à la comptabilisation des gaz à effet de serre, à l'estimation des pertes de carbone et de la dégradation des forêts, à l'évaluation du potentiel des énergies renouvelables et à l'élaboration de politiques d'atténuation du changement climatique telles que REDD+, entre autres. La cartographie mur à mur de la biomasse aérienne (AGB) est maintenant possible avec la télédétection par satellite (RS). Cependant, les méthodes RS nécessitent des données in situ existantes, à jour, fiables, représentatives et comparables pour l'étalonnage et la validation. Nous présentons ici l'initiative Forest Observation System (Fos), une coopération internationale visant à établir et à maintenir une base de données mondiale sur la biomasse forestière in situ. Les estimations de la hauteur de l'AGB et de la canopée avec leurs incertitudes associées sont dérivées à une échelle de 0,25 ha à partir de mesures sur le terrain effectuées dans des parcelles de recherche permanentes à travers les forêts du monde. Toutes les estimations des placettes sont géolocalisées et ont une taille qui permet une comparaison directe avec de nombreuses mesures RS. Le Fos offre le potentiel d'améliorer la précision des produits de la biomasse à base de RS tout en développant de nouvelles synergies entre la RS et les communautés de recherche sur les écosystèmes terrestres. La biomasa forestal es un indicador esencial para monitorear los ecosistemas y el clima de la Tierra. Es un insumo crítico para la contabilidad de gases de efecto invernadero, la estimación de las pérdidas de carbono y la degradación forestal, la evaluación del potencial de energía renovable y para el desarrollo de políticas de mitigación del cambio climático como REDD+, entre otras. El mapeo de pared a pared de la biomasa sobre el suelo (AGB) ahora es posible con la teledetección satelital (RS). Sin embargo, los métodos de RS requieren datos in situ existentes, actualizados, confiables, representativos y comparables para la calibración y validación. Aquí, presentamos la iniciativa del Sistema de Observación Forestal (FOS), una cooperación internacional para establecer y mantener una base de datos global de biomasa forestal in situ. Las estimaciones de altura de AGB y dosel con sus incertidumbres asociadas se derivan a una escala de 0,25 ha a partir de mediciones de campo realizadas en parcelas de investigación permanentes en los bosques del mundo. Todas las estimaciones de parcelas están geolocalizadas y tienen un tamaño que permite la comparación directa con muchas mediciones de RS. El FOS ofrece el potencial de mejorar la precisión de los productos de biomasa basados en RS al tiempo que desarrolla nuevas sinergias entre las comunidades de investigación de ecosistemas basados en RS y en tierra. Forest biomass is an essential indicator for monitoring the Earth's ecosystems and climate. It is a critical input to greenhouse gas accounting, estimation of carbon losses and forest degradation, assessment of renewable energy potential, and for developing climate change mitigation policies such as REDD+, among others. Wall-to-wall mapping of aboveground biomass (AGB) is now possible with satellite remote sensing (RS). However, RS methods require extant, up-to-date, reliable, representative and comparable in situ data for calibration and validation. Here, we present the Forest Observation System (FOS) initiative, an international cooperation to establish and maintain a global in situ forest biomass database. AGB and canopy height estimates with their associated uncertainties are derived at a 0.25 ha scale from field measurements made in permanent research plots across the world's forests. All plot estimates are geolocated and have a size that allows for direct comparison with many RS measurements. The FOS offers the potential to improve the accuracy of RS-based biomass products while developing new synergies between the RS and ground-based ecosystem research communities. الكتلة الحيوية للغابات هي مؤشر أساسي لرصد النظم الإيكولوجية للأرض ومناخها. وهو مدخل حاسم في المحاسبة المتعلقة بغازات الدفيئة، وتقدير خسائر الكربون وتدهور الغابات، وتقييم إمكانات الطاقة المتجددة، ووضع سياسات للتخفيف من آثار تغير المناخ مثل المبادرة المعززة لخفض الانبعاثات الناجمة عن إزالة الغاباتوتدهورها، من بين أمور أخرى. أصبح من الممكن الآن رسم خرائط من الجدار إلى الجدار للكتلة الحيوية فوق الأرض (AGB) باستخدام الاستشعار عن بعد عبر الأقمار الصناعية (RS). ومع ذلك، تتطلب طرق RS بيانات موجودة وحديثة وموثوقة وتمثيلية وقابلة للمقارنة في الموقع للمعايرة والتحقق من الصحة. نقدم هنا مبادرة نظام مراقبة الغابات، وهو تعاون دولي لإنشاء وصيانة قاعدة بيانات عالمية للكتلة الحيوية للغابات في الموقع. يتم اشتقاق تقديرات ارتفاع AGB والمظلة مع أوجه عدم اليقين المرتبطة بها على مقياس 0.25 هكتار من القياسات الميدانية التي تم إجراؤها في قطع البحث الدائمة عبر غابات العالم. جميع تقديرات المخطط محددة جغرافيًا ولها حجم يسمح بالمقارنة المباشرة مع العديد من قياسات RS. يوفر نظام التشغيل الحر إمكانية تحسين دقة منتجات الكتلة الحيوية القائمة على RS مع تطوير أوجه تآزر جديدة بين RS ومجتمعات أبحاث النظام الإيكولوجي الأرضية.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object 2020Publisher:Инфинити Authors: Ashabokov, B.A.; Teunova, N.V.; Kesheva, L.A.;The world scientific community has come to almost a unanimous opinion that significant climatic changes are taking place on Earth. The ongoing climate changes can have a serious impact on natural and economic systems and on humanity as a whole. The purpose of this article is to assess changes in the temperature regime in the North Caucasus region for the periods 1976-2012 and 1976-2019 including a comparative analysis of seasonal temperature anomalies for different climatic zones.It was found that in all climatic zones of the North Caucasian region for the two studied sub-periods the dominance of a statistically significant warming trend persists.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2019Publisher:Advances in Systems Science and Applications Authors: Valery Konstantinovich Akinfiev;The shale revolution in the United States dramatically changed the situation on the global oil market. The response to the shale boom of 20132014 was the OPEC agreement, which aims to regulate the market in order to stabilize oil prices. The article analyzes the impact of the OPEC agreement on the global oil market, taking into account the dynamics of US oil shale production. A simulation dynamic game model is proposed, which describes the relationship between the oil demand, the strategy of oil supplying by the players and the dynamics of oil price. The model allows, by setting different strategies for the behavior of players, to simulate the movement of oil prices, which in turn affect the choice of players in their decisions on oil production and its supply to the market. The model includes three players: US shale companies, OPEC countries (including Russia), and nonOPEC countries (including conventional US oil production). The research methodology is based on scenario modeling and analysis of OPEC strategies for managing the supply and demand balance (decrease or increase in production) for targeting oil prices at specified target levels. We tried in this study to answer the question: is the OPEC agreement favorable for Russia Calculations show that for Russia, in terms of maintaining market share, the option of targeting oil prices at lower levels is the most profitable, but at the same time, gross oil revenues of Russia are noticeably reduced. №3 (2019)
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For further information contact us at helpdesk@openaire.eu1 citations 1 popularity Average influence Average impulse Average Powered by BIP!
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2019Publisher:Advances in Systems Science and Applications Authors: Svetlana Ratner; Andrey V. Lychev;This study contributes to the literature by proposing a new method of complex evaluation of multiple life cycle environmental impacts of different PV technologies based on the Data Envelopment Analysis (DEA). The main advantage of DEA as a non-parametric technique is that it does not require prior knowledge of underlying production functions. An empirical production technology frontier is estimated based on best-practice boundary of the input-output relationship. DEA evaluates comparative or relative efficiency, which means the measurement with reference to some set of units we are comparing with each other. The proposed approach allows to aggregate disparate quantitative estimates of individual negative environmental effects from the literature and special databases in a transparent and easily understandable index or coefficient of ecology efficiency. The evaluation of environmental effects is performed on data from the EcoInvent Database. The results of this study clearly show that from an environmental point of view it is more practical to prefer technologies, which are less resource and energy intensive in manufacturing and upstream activities. As of right now, this requirement is met by thin-film technologies (amorphous silicon, cadmium telluride, and copper-indium-diselenide); however, their ecologic efficiency evaluation may change as we obtain more data on the final stages of the lifecycle for PV modules of various types. Based on results of this study a number of opportunities for improving existing government incentives and rationalizing the design of state programs under elaboration can be identified. №1 (2019)
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For further information contact us at helpdesk@openaire.eu4 citations 4 popularity Top 10% influence Average impulse Average Powered by BIP!
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2021Publisher:Zenodo Thornton, James M.; Snethlage, Mark; Sayre, Roger; Urbach, Davnah R.; Viviroli, Daniel; Ehrlich, Daniele; Wester, Philippus; Insarov, Gregory; Adler, Carolina;Supplementary Information (data, code, figures) for "Human populations in the world’s mountains: spatio-temporal patterns and potential controls" (Thornton et al., 2022) Funded by Swiss Agency of Development and Cooperation (SDC) under the Adaptation at Altitude Programme.
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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.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
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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://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.6673651&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2020Publisher:KNB Data Repository Van Klink, Roel; Bowler, Diana E.; Chase, Jonathan M.; Comay, Orr; Driessen, Michael M.; Ernest, S.K. Morgan; Gentile, Alessandro; Gilbert, Francis; Gongalsky, Konstantin; Owen, Jennifer; Pe'er, Guy; Pe'er, Israel; Resh, Vincent H.; Rochlin, Ilia; Schuch, Sebastian; Swengel, Ann E.; Swengel, Scott R.; Valone, Thomas L.; Vermeulen, Rikjan; Wepprich, Tyson; Wiedmann, Jerome;**UPDATED on October 1 2020**After some mistakes in some of the data were found, we updated this data set. The changes to the data are detailed on Zenodo (http://doi.org/10.5281/zenodo.4061807), and an Erratum has been submitted. This data set under CC-BY license contains time series of total abundance and/or biomass of assemblages of insect, arachnid and Entognatha assemblages (grouped at the family level or higher taxonomic resolution), monitored by standardized means for ten or more years. The data were derived from 165 data sources, representing a total of 1668 sites from 41 countries. The time series for abundance and biomass represent the aggregated number of all individuals of all taxa monitored at each site.The data set consists of four linked tables, representing information on the study level, the plot level, about sampling, and the measured assemblage sizes. all references to the original data sources can be found in the pdf with references, and a Google Earth file (kml) file presents the locations (including metadata) of all datasets.When using (parts of) this data set, please respect the original open access licenses. This data set underlies all analyses performed in the paper 'Meta-analysis reveals declines in terrestrial, but increases in freshwater insect abundances', a meta-analysis of changes in insect assemblage sizes, and is accompanied by a data paper entitled 'InsectChange – a global database of temporal changes in insect and arachnid assemblages'. Consulting the data paper before use is recommended. Tables that can be used to calculate trends of specific taxa and for species richness will be added as they become available.The data set consists of four tables that are linked by the columns 'DataSource_ID'. and 'Plot_ID', and a table with references to original research.In the table 'DataSources', descriptive data is provided at the dataset level: Links are provided to online repositories where the original data can be found, it describes whether the dataset provides data on biomass, abundance or both, the invertebrate group under study, the realm, and describes the location of sampling at different geographic scales (continent to state). This table also contains a reference column. The full reference to the original data is found in the file 'References_to_original_data_sources.pdf'.In the table 'PlotData' more details on each site within each dataset are provided: there is data on the exact location of each plot, whether the plots were experimentally manipulated, and if there was any spatial grouping of sites (column 'Location'). Additionally, this table contains all explanatory variables used for analysis, e.g. climate change variables, land-use variables, protection status.The table 'SampleData' describes the exact source of the data (table X, figure X, etc), the extraction methods, as well as the sampling methods (derived from the original publications). This includes the sampling method, sampling area, sample size, and how the aggregation of samples was done, if reported. Also, any calculations we did on the original data (e.g. reverse log transformations) are detailed here, but more details are provided in the data paper. This table links to the table 'DataSources' by the column 'DataSource_ID'. Note that each datasource may contain multiple entries in the 'SampleData' table if the data were presented in different figures or tables, or if there was any other necessity to split information on sampling details.The table 'InsectAbundanceBiomassData' provides the insect abundance or biomass numbers as analysed in the paper. It contains columns matching to the tables 'DataSources' and 'PlotData', as well as year of sampling, a descriptor of the period within the year of sampling (this was used as a random effect), the unit in which the number is reported (abundance or biomass), and the estimated abundance or biomass. In the column for Number, missing data are included (NA). The years with missing data were added because this was essential for the analysis performed, and retained here because they are easier to remove than to add.Linking the table 'InsectAbundanceBiomassData.csv' with 'PlotData.csv' by column 'Plot_ID', and with 'DataSources.csv' by column 'DataSource_ID' will provide the full dataframe used for all analyses.Detailed explanations of all column headers and terms are available in the ReadMe file, and more details will be available in the forthcoming data paper.WARNING: Because of the disparate sampling methods and various spatial and temporal scales used to collect the original data, this dataset should never be used to test for differences in insect abundance/biomass among locations (i.e. differences in intercept). The data can only be used to study temporal trends, by testing for differences in slopes. The data are standardized within plots to allow the temporal comparison, but not necessarily among plots (even within one dataset).
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object , Preprint 2014Publisher:Louvain-la-Neuve: European Regional Science Association (ERSA) Authors: Svetlana Ratner;The studies of environmental awareness or the so-called people's pro-environmental behaviors (PEBs) became a popular topic in Europe, North America and Asia, but not yet in Russia. Many studies investigated PEBs revealed that monetary saving and health concern are considered to be the most common influential factors for many PEBs. Because of the lowest electric power and heat tariffs in the world as well as abundant natural resources it can be assumed that the level of environmental awareness in Russia is low comparing to EU. Nowadays this problem can became a barrier for innovative development and diffusion of new energy efficient technologies. In this paper we present the results of empirical research aiming evaluation of environmental awareness in one of the southern region of Russia ? Krasnodar region. In research we also evaluate the informational transparency in the field of ecology in Russia and distinguish the most popular sources of information. The method of research is medium-scale face-to-face inquiry. The survey involved 112 respondents from one big city (Krasnodar), it's suburbs, several small cities and rural areas. Data analysis was performed using StatSoft STATISTICA 10.0. The non-parametric Mann-Whitney tests and Kruskal?Wallis one-way analysis of variance were used to reveal the optimal quantification that describes the relationships between the categorical scores of each variable as well as the relationships between the variables themselves. In order to identify relationships between variables, measured in nominal scales, contingency tables (cross tabulation) were used. In some cases (where it was appropriate) correlation analysis and one-way ANOVA were used.
Research Papers in E... arrow_drop_down 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.
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more_vert Research Papers in E... arrow_drop_down 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.
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Research data keyboard_double_arrow_right Dataset 2023Publisher:PANGAEA Gebruk, Anna; Dgebuadze, Polina; Rogozhin, Vladimir; Ermilova, Yulia; Shabalin, Nikolay; Mokievsky, Vadim;The dataset comprises full list of species of macrozoobenthos collected from the Pechora Sea (SE Barents Sea). Grab samples were collected from 10 stations in the Pechora Bay from aboard RV Kartesh in 2020-2021. Macrobenthic invertebrates were identified with the maximum level of certainty through optical microscopy using regional taxonomic keys. All taxonomic names were standardised using the World Register of Marine Species (WoRMS). All specimens have been counted and weighted (wet biomass) on Ohaus Adventurer scales with reported accuracy to 0.01 g. Bivalve molluscs and gastropods were weighed in shells. Biomass (g. m-2) and abundance (ind m-2) are used to characterise macrozoobenthos. The sampling and identification work was carried out in collaboration with specialists from Lomonosov Moscow State University Marine Research Center and P.P. Shirshov Institute of Oceanology.
PANGAEA - Data Publi... arrow_drop_down PANGAEA - Data Publisher for Earth and Environmental ScienceDataset . 2023License: CC BYData sources: Dataciteadd 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.
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For further information contact us at helpdesk@openaire.eu1 citations 1 popularity Top 10% influence Average impulse Average Powered by BIP!
more_vert PANGAEA - Data Publi... arrow_drop_down PANGAEA - Data Publisher for Earth and Environmental ScienceDataset . 2023License: CC BYData sources: Dataciteadd 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.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2017 Russian FederationPublisher:UNIV EL OUED, FAC SCIENCE & TECHNOLOGY Authors: Liliya Radikovna Sakaeva; Ekaterina V. Martynova; R. R. Khairutdinov; Diana Khakimzyanova; +4 AuthorsLiliya Radikovna Sakaeva; Ekaterina V. Martynova; R. R. Khairutdinov; Diana Khakimzyanova; I. Khanipova; G. Ibragimov; I. B. Bashirova; A. F. Gainutdinova;doi: 10.4314/jfas.v9i7s
In this article, to improve the performance of metal cylindrical mesh shells used as roofs for modern construction projects, the sub-aperture diaphragms and the corresponding nodal connections are proposed in the context of the problem of the increased vulnerability of individual sections from actual loads. Finite element models are designed taking into account minimization of production and assembly costs, special features of load perception and structural geometry changes in an acceptable range of overall parameters. The effect of sustaining elements located in the direction of the arc of the circle on the percentage of depletion of the bearing capacity and the maximum value of the deflection of circular mesh surfaces with square and rectangular cells are investigated. An economical design solution of IFI type unit is used to increase the bearing capacity and reduce the deformation of rectangular cylindrical multi-element grids. A joint connection which improves operational characteristics of a structure taking into account the features of the geometric formation and spatial design of the structures has been developed. The force factors and deformation parameters of the basic circuits of a cylindrical mesh surface are checked with conventional and developed joint connections. Increased rigidity and stability of the structure due to the introduction of the diaphragms and the use of units with sustaining elements have been achieved.
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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.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2018Publisher:GJESM Publisher Authors: D.A. Savchuk; S.L. Bondarenko;The present study was focused to examine the combined effects of climate and ultraviolet-B radiation on conifer tree-ring density. Statistical methods were employed to extract tree responses in annual ring density and to identify functional relationship in trees when the level of ultraviolet-B radiation changes regardless of climate variations. In this study, the consideration was given to the series of total ozone content (instead of ultraviolet-B), tree-ring density, and De Martonne aridity index. After the correlation analysis, all trees were divided into two groups: 1) Trees whose correlation between tree ring density and UV-B values in April is significantly positive; 2) Trees whose correlation between tree ring density and aridity index values in March-September is significantly negative. Then, tree-ring series for the Swiss Alps in each group were generalized and decomposed into separate components: long period trends, ultraviolet-B and climatic signals. For the ultraviolet-B-responsive tree group in the period 1932-1974, the correlation coefficient between the density and ultraviolet-B was 0.55 at p
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.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
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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://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.22034/gjesm.2018.03.004&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Other literature type 2019Publisher:OpenAlex Dmitry Schepaschenko; Jérôme Chave; Oliver L. Phillips; Simon L. Lewis; Stuart J. Davies; Maxime Réjou‐Méchain; Plínio Sist; Klaus Scipal; Christoph Perger; Bruno Hérault; Nicolas Labrière; Florian Hofhansl; Kofi Affum‐Baffoe; Alfonso Alonso; Christian Amani; Alejandro Araujo‐Murakami; John Armston; Luzmila Arroyo; Nataly Ascarrunz; C. P. de Azevedo; Timothy R. Baker; Radomir Bałazy; Caroline Bedeau; Nicholas Berry; Andrii Bilous; Pulchérie Bissiengou; Lilian Blanc; Tatyana Braslavskaya; Roel Brienen; David F. R. P. Burslem; Richard Condit; Aida Cuní-Sanchez; Dennis Del Castillo-Torres; Géraldine Derroire; Laurent Descroix; Eleneide Doff Sotta; Marcus Vn d'Oliveira; Christopher Dresel; Terry L. Erwin; Jan Falck; Ted R. Feldpausch; Ernest G. Foli; Robin B. Foster; Steffen Fritz; Antonio García‐Abril; Ernest Gothard-Bassébé; Sylvie Gourlet‐Fleury; Marcelino Carneiro Guedes; Keith C. Hamer; Farida Herry Susanty; Níro Higuchi; Eurídice N. Honorio Coronado; Wannes Hubau; Stephen P. Hubbell; Ulrik Ilstedt; Milton Kanashiro; Anders Karlsson; Viktor Karminov; Timothy J. Killeen; Jean-Claude Konan Koffi; Florian Kraxner; Jan Krejza; Haruni Krisnawati; Leonid Krivobokov; M. A. Kuznetsov; Ivan Lakyda; Petro Lakyda; Juan Carlos Licona; Richard Lucas; Daniel Lussetti; Yadvinder Malhi; J. A. Manzanera; Beatriz Schwantes Marimon; Ben Hur Marimon; Rodolfo Vásquez Martínez; Olga Martynenko; Maksym Matsala; Raisa K. Matyashuk; Lucas Mazzei; Hervé Memiaghe; Casimiro Mendoza; Abel Monteagudo Mendoza; Olga V. Moroziuk; Liudmila Mukhortova; Samsudin Musa; Toshinori Okuda; Luís Cláudio de Oliveira; Petr Ontikov;La biomasse forestière est un indicateur essentiel pour la surveillance des écosystèmes et du climat de la Terre. Il s'agit d'une contribution essentielle à la comptabilisation des gaz à effet de serre, à l'estimation des pertes de carbone et de la dégradation des forêts, à l'évaluation du potentiel des énergies renouvelables et à l'élaboration de politiques d'atténuation du changement climatique telles que REDD+, entre autres. La cartographie mur à mur de la biomasse aérienne (AGB) est maintenant possible avec la télédétection par satellite (RS). Cependant, les méthodes RS nécessitent des données in situ existantes, à jour, fiables, représentatives et comparables pour l'étalonnage et la validation. Nous présentons ici l'initiative Forest Observation System (Fos), une coopération internationale visant à établir et à maintenir une base de données mondiale sur la biomasse forestière in situ. Les estimations de la hauteur de l'AGB et de la canopée avec leurs incertitudes associées sont dérivées à une échelle de 0,25 ha à partir de mesures sur le terrain effectuées dans des parcelles de recherche permanentes à travers les forêts du monde. Toutes les estimations des placettes sont géolocalisées et ont une taille qui permet une comparaison directe avec de nombreuses mesures RS. Le Fos offre le potentiel d'améliorer la précision des produits de la biomasse à base de RS tout en développant de nouvelles synergies entre la RS et les communautés de recherche sur les écosystèmes terrestres. La biomasa forestal es un indicador esencial para monitorear los ecosistemas y el clima de la Tierra. Es un insumo crítico para la contabilidad de gases de efecto invernadero, la estimación de las pérdidas de carbono y la degradación forestal, la evaluación del potencial de energía renovable y para el desarrollo de políticas de mitigación del cambio climático como REDD+, entre otras. El mapeo de pared a pared de la biomasa sobre el suelo (AGB) ahora es posible con la teledetección satelital (RS). Sin embargo, los métodos de RS requieren datos in situ existentes, actualizados, confiables, representativos y comparables para la calibración y validación. Aquí, presentamos la iniciativa del Sistema de Observación Forestal (FOS), una cooperación internacional para establecer y mantener una base de datos global de biomasa forestal in situ. Las estimaciones de altura de AGB y dosel con sus incertidumbres asociadas se derivan a una escala de 0,25 ha a partir de mediciones de campo realizadas en parcelas de investigación permanentes en los bosques del mundo. Todas las estimaciones de parcelas están geolocalizadas y tienen un tamaño que permite la comparación directa con muchas mediciones de RS. El FOS ofrece el potencial de mejorar la precisión de los productos de biomasa basados en RS al tiempo que desarrolla nuevas sinergias entre las comunidades de investigación de ecosistemas basados en RS y en tierra. Forest biomass is an essential indicator for monitoring the Earth's ecosystems and climate. It is a critical input to greenhouse gas accounting, estimation of carbon losses and forest degradation, assessment of renewable energy potential, and for developing climate change mitigation policies such as REDD+, among others. Wall-to-wall mapping of aboveground biomass (AGB) is now possible with satellite remote sensing (RS). However, RS methods require extant, up-to-date, reliable, representative and comparable in situ data for calibration and validation. Here, we present the Forest Observation System (FOS) initiative, an international cooperation to establish and maintain a global in situ forest biomass database. AGB and canopy height estimates with their associated uncertainties are derived at a 0.25 ha scale from field measurements made in permanent research plots across the world's forests. All plot estimates are geolocated and have a size that allows for direct comparison with many RS measurements. The FOS offers the potential to improve the accuracy of RS-based biomass products while developing new synergies between the RS and ground-based ecosystem research communities. الكتلة الحيوية للغابات هي مؤشر أساسي لرصد النظم الإيكولوجية للأرض ومناخها. وهو مدخل حاسم في المحاسبة المتعلقة بغازات الدفيئة، وتقدير خسائر الكربون وتدهور الغابات، وتقييم إمكانات الطاقة المتجددة، ووضع سياسات للتخفيف من آثار تغير المناخ مثل المبادرة المعززة لخفض الانبعاثات الناجمة عن إزالة الغاباتوتدهورها، من بين أمور أخرى. أصبح من الممكن الآن رسم خرائط من الجدار إلى الجدار للكتلة الحيوية فوق الأرض (AGB) باستخدام الاستشعار عن بعد عبر الأقمار الصناعية (RS). ومع ذلك، تتطلب طرق RS بيانات موجودة وحديثة وموثوقة وتمثيلية وقابلة للمقارنة في الموقع للمعايرة والتحقق من الصحة. نقدم هنا مبادرة نظام مراقبة الغابات، وهو تعاون دولي لإنشاء وصيانة قاعدة بيانات عالمية للكتلة الحيوية للغابات في الموقع. يتم اشتقاق تقديرات ارتفاع AGB والمظلة مع أوجه عدم اليقين المرتبطة بها على مقياس 0.25 هكتار من القياسات الميدانية التي تم إجراؤها في قطع البحث الدائمة عبر غابات العالم. جميع تقديرات المخطط محددة جغرافيًا ولها حجم يسمح بالمقارنة المباشرة مع العديد من قياسات RS. يوفر نظام التشغيل الحر إمكانية تحسين دقة منتجات الكتلة الحيوية القائمة على RS مع تطوير أوجه تآزر جديدة بين RS ومجتمعات أبحاث النظام الإيكولوجي الأرضية.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object 2020Publisher:Инфинити Authors: Ashabokov, B.A.; Teunova, N.V.; Kesheva, L.A.;The world scientific community has come to almost a unanimous opinion that significant climatic changes are taking place on Earth. The ongoing climate changes can have a serious impact on natural and economic systems and on humanity as a whole. The purpose of this article is to assess changes in the temperature regime in the North Caucasus region for the periods 1976-2012 and 1976-2019 including a comparative analysis of seasonal temperature anomalies for different climatic zones.It was found that in all climatic zones of the North Caucasian region for the two studied sub-periods the dominance of a statistically significant warming trend persists.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2019Publisher:Advances in Systems Science and Applications Authors: Valery Konstantinovich Akinfiev;The shale revolution in the United States dramatically changed the situation on the global oil market. The response to the shale boom of 20132014 was the OPEC agreement, which aims to regulate the market in order to stabilize oil prices. The article analyzes the impact of the OPEC agreement on the global oil market, taking into account the dynamics of US oil shale production. A simulation dynamic game model is proposed, which describes the relationship between the oil demand, the strategy of oil supplying by the players and the dynamics of oil price. The model allows, by setting different strategies for the behavior of players, to simulate the movement of oil prices, which in turn affect the choice of players in their decisions on oil production and its supply to the market. The model includes three players: US shale companies, OPEC countries (including Russia), and nonOPEC countries (including conventional US oil production). The research methodology is based on scenario modeling and analysis of OPEC strategies for managing the supply and demand balance (decrease or increase in production) for targeting oil prices at specified target levels. We tried in this study to answer the question: is the OPEC agreement favorable for Russia Calculations show that for Russia, in terms of maintaining market share, the option of targeting oil prices at lower levels is the most profitable, but at the same time, gross oil revenues of Russia are noticeably reduced. №3 (2019)
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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.
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For further information contact us at helpdesk@openaire.eu1 citations 1 popularity Average influence Average impulse Average Powered by BIP!
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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.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2019Publisher:Advances in Systems Science and Applications Authors: Svetlana Ratner; Andrey V. Lychev;This study contributes to the literature by proposing a new method of complex evaluation of multiple life cycle environmental impacts of different PV technologies based on the Data Envelopment Analysis (DEA). The main advantage of DEA as a non-parametric technique is that it does not require prior knowledge of underlying production functions. An empirical production technology frontier is estimated based on best-practice boundary of the input-output relationship. DEA evaluates comparative or relative efficiency, which means the measurement with reference to some set of units we are comparing with each other. The proposed approach allows to aggregate disparate quantitative estimates of individual negative environmental effects from the literature and special databases in a transparent and easily understandable index or coefficient of ecology efficiency. The evaluation of environmental effects is performed on data from the EcoInvent Database. The results of this study clearly show that from an environmental point of view it is more practical to prefer technologies, which are less resource and energy intensive in manufacturing and upstream activities. As of right now, this requirement is met by thin-film technologies (amorphous silicon, cadmium telluride, and copper-indium-diselenide); however, their ecologic efficiency evaluation may change as we obtain more data on the final stages of the lifecycle for PV modules of various types. Based on results of this study a number of opportunities for improving existing government incentives and rationalizing the design of state programs under elaboration can be identified. №1 (2019)
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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.
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For further information contact us at helpdesk@openaire.eu4 citations 4 popularity Top 10% influence Average impulse Average Powered by BIP!
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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.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2021Publisher:Zenodo Thornton, James M.; Snethlage, Mark; Sayre, Roger; Urbach, Davnah R.; Viviroli, Daniel; Ehrlich, Daniele; Wester, Philippus; Insarov, Gregory; Adler, Carolina;Supplementary Information (data, code, figures) for "Human populations in the world’s mountains: spatio-temporal patterns and potential controls" (Thornton et al., 2022) Funded by Swiss Agency of Development and Cooperation (SDC) under the Adaptation at Altitude Programme.
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.
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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.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2020Publisher:KNB Data Repository Van Klink, Roel; Bowler, Diana E.; Chase, Jonathan M.; Comay, Orr; Driessen, Michael M.; Ernest, S.K. Morgan; Gentile, Alessandro; Gilbert, Francis; Gongalsky, Konstantin; Owen, Jennifer; Pe'er, Guy; Pe'er, Israel; Resh, Vincent H.; Rochlin, Ilia; Schuch, Sebastian; Swengel, Ann E.; Swengel, Scott R.; Valone, Thomas L.; Vermeulen, Rikjan; Wepprich, Tyson; Wiedmann, Jerome;**UPDATED on October 1 2020**After some mistakes in some of the data were found, we updated this data set. The changes to the data are detailed on Zenodo (http://doi.org/10.5281/zenodo.4061807), and an Erratum has been submitted. This data set under CC-BY license contains time series of total abundance and/or biomass of assemblages of insect, arachnid and Entognatha assemblages (grouped at the family level or higher taxonomic resolution), monitored by standardized means for ten or more years. The data were derived from 165 data sources, representing a total of 1668 sites from 41 countries. The time series for abundance and biomass represent the aggregated number of all individuals of all taxa monitored at each site.The data set consists of four linked tables, representing information on the study level, the plot level, about sampling, and the measured assemblage sizes. all references to the original data sources can be found in the pdf with references, and a Google Earth file (kml) file presents the locations (including metadata) of all datasets.When using (parts of) this data set, please respect the original open access licenses. This data set underlies all analyses performed in the paper 'Meta-analysis reveals declines in terrestrial, but increases in freshwater insect abundances', a meta-analysis of changes in insect assemblage sizes, and is accompanied by a data paper entitled 'InsectChange – a global database of temporal changes in insect and arachnid assemblages'. Consulting the data paper before use is recommended. Tables that can be used to calculate trends of specific taxa and for species richness will be added as they become available.The data set consists of four tables that are linked by the columns 'DataSource_ID'. and 'Plot_ID', and a table with references to original research.In the table 'DataSources', descriptive data is provided at the dataset level: Links are provided to online repositories where the original data can be found, it describes whether the dataset provides data on biomass, abundance or both, the invertebrate group under study, the realm, and describes the location of sampling at different geographic scales (continent to state). This table also contains a reference column. The full reference to the original data is found in the file 'References_to_original_data_sources.pdf'.In the table 'PlotData' more details on each site within each dataset are provided: there is data on the exact location of each plot, whether the plots were experimentally manipulated, and if there was any spatial grouping of sites (column 'Location'). Additionally, this table contains all explanatory variables used for analysis, e.g. climate change variables, land-use variables, protection status.The table 'SampleData' describes the exact source of the data (table X, figure X, etc), the extraction methods, as well as the sampling methods (derived from the original publications). This includes the sampling method, sampling area, sample size, and how the aggregation of samples was done, if reported. Also, any calculations we did on the original data (e.g. reverse log transformations) are detailed here, but more details are provided in the data paper. This table links to the table 'DataSources' by the column 'DataSource_ID'. Note that each datasource may contain multiple entries in the 'SampleData' table if the data were presented in different figures or tables, or if there was any other necessity to split information on sampling details.The table 'InsectAbundanceBiomassData' provides the insect abundance or biomass numbers as analysed in the paper. It contains columns matching to the tables 'DataSources' and 'PlotData', as well as year of sampling, a descriptor of the period within the year of sampling (this was used as a random effect), the unit in which the number is reported (abundance or biomass), and the estimated abundance or biomass. In the column for Number, missing data are included (NA). The years with missing data were added because this was essential for the analysis performed, and retained here because they are easier to remove than to add.Linking the table 'InsectAbundanceBiomassData.csv' with 'PlotData.csv' by column 'Plot_ID', and with 'DataSources.csv' by column 'DataSource_ID' will provide the full dataframe used for all analyses.Detailed explanations of all column headers and terms are available in the ReadMe file, and more details will be available in the forthcoming data paper.WARNING: Because of the disparate sampling methods and various spatial and temporal scales used to collect the original data, this dataset should never be used to test for differences in insect abundance/biomass among locations (i.e. differences in intercept). The data can only be used to study temporal trends, by testing for differences in slopes. The data are standardized within plots to allow the temporal comparison, but not necessarily among plots (even within one dataset).
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
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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.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object , Preprint 2014Publisher:Louvain-la-Neuve: European Regional Science Association (ERSA) Authors: Svetlana Ratner;The studies of environmental awareness or the so-called people's pro-environmental behaviors (PEBs) became a popular topic in Europe, North America and Asia, but not yet in Russia. Many studies investigated PEBs revealed that monetary saving and health concern are considered to be the most common influential factors for many PEBs. Because of the lowest electric power and heat tariffs in the world as well as abundant natural resources it can be assumed that the level of environmental awareness in Russia is low comparing to EU. Nowadays this problem can became a barrier for innovative development and diffusion of new energy efficient technologies. In this paper we present the results of empirical research aiming evaluation of environmental awareness in one of the southern region of Russia ? Krasnodar region. In research we also evaluate the informational transparency in the field of ecology in Russia and distinguish the most popular sources of information. The method of research is medium-scale face-to-face inquiry. The survey involved 112 respondents from one big city (Krasnodar), it's suburbs, several small cities and rural areas. Data analysis was performed using StatSoft STATISTICA 10.0. The non-parametric Mann-Whitney tests and Kruskal?Wallis one-way analysis of variance were used to reveal the optimal quantification that describes the relationships between the categorical scores of each variable as well as the relationships between the variables themselves. In order to identify relationships between variables, measured in nominal scales, contingency tables (cross tabulation) were used. In some cases (where it was appropriate) correlation analysis and one-way ANOVA were used.
Research Papers in E... arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
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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.
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