{"header":{"numFound":6405383,"maxScore":1.0,"queryTime":174,"page":1,"pageSize":10},"results":[{"authors":[{"id":null,"fullName":"Gevorgyan Artur","name":null,"surname":null,"rank":1,"pid":null}],"openAccessColor":null,"publiclyFunded":false,"eoscIfGuidelines":null,"type":"publication","language":{"code":"eng","label":"English"},"countries":[{"code":"AM","label":"Armenia","provenance":null}],"subjects":[{"subject":{"scheme":"SDG","value":"13. Climate action"},"provenance":null},{"subject":{"scheme":"SDG","value":"15. Life on land"},"provenance":null},{"subject":{"scheme":"FOS","value":"01 natural sciences"},"provenance":null},{"subject":{"scheme":"FOS","value":"0105 earth and related environmental sciences"},"provenance":null}],"mainTitle":"An assessment of observed and projected temperature changes in Armenia","subTitle":null,"descriptions":["Future changes in annual and seasonal temperature over Armenia based on the Community Climate System Model 4 (CCSM4) output data from newly developed dataset of phase 5 of the Coupled Model Intercomparison Project (CMIP5) have been analysed. The results of this study suggest that Armenia will experience significant temperature increase in the twenty-first century. Moreover, the greatest warming is expected in the summertime and can reach 4–6 °C under representative concentration pathways (RCP)8.5 for the middle and end of the century. However, observations show significant variability and seasonal amplitude in temperature regime which is peculiar to mountain regions located in mid-latitudes. It was shown that strong cold wave events can be directly followed by prolonged hot days within one year in Armenia. The CCSM4 model has substantial deficiencies in simulating the regional climate over Armenia. Validation results indicate the largest errors (root-mean-square error (RMSE)) in the representation of winter temperatures. There is also significant uncertainty in projected temperature change patterns in Armenia over the twenty-first century. However, the CCSM4 model becomes more confident in the prediction of temperature increase over Armenia toward the end of the century."],"publicationDate":"2015-05-10","publisher":"Springer","embargoEndDate":null,"sources":null,"formats":null,"contributors":["Melkonyan Hamlet","Aleksanyan Taron","Iritsyan Ashkhen","Khalatyan Yelena"],"coverages":null,"bestAccessRight":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"container":null,"documentationUrls":null,"codeRepositoryUrl":null,"programmingLanguage":null,"contactPeople":null,"contactGroups":null,"tools":null,"size":null,"version":null,"geoLocations":null,"id":"2762f04c3d6f::00b6e771962cd83b79e7babc16e535e1","originalIds":["oai:noad.sci.am:136103","50|2762f04c3d6f::00b6e771962cd83b79e7babc16e535e1"],"pids":null,"dateOfCollection":null,"lastUpdateTimeStamp":null,"indicators":{"citationImpact":{"citationCount":0.0,"influence":2.2251732E-9,"popularity":6.2166633E-10,"impulse":0.0,"citationClass":"C5","influenceClass":"C5","impulseClass":"C5","popularityClass":"C5"}},"projects":null,"organizations":null,"communities":null,"collectedFrom":[{"key":"openaire____::172bbccecf8fca44ab6a6653e84cb92a","value":"Armenian OpenAIRE NOAD"}],"instances":[{"accessRight":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/","openAccessRoute":null},"type":"Article","urls":["https://noad.sci.am/dlibra/docmetadata?showContent=true&id=136103"],"publicationDate":"2015-05-10","refereed":"nonPeerReviewed","hostedBy":{"key":"openaire____::172bbccecf8fca44ab6a6653e84cb92a","value":"Armenian OpenAIRE NOAD"},"collectedFrom":{"key":"openaire____::172bbccecf8fca44ab6a6653e84cb92a","value":"Armenian OpenAIRE NOAD"}}],"links":null,"otherTitles":null,"inDiamondJournal":false,"green":true,"isGreen":true,"isInDiamondJournal":false},{"authors":[{"id":null,"fullName":"Saghatelyan Armen","name":null,"surname":null,"rank":1,"pid":null}],"openAccessColor":null,"publiclyFunded":false,"eoscIfGuidelines":null,"type":"publication","language":{"code":"eng","label":"English"},"countries":[{"code":"AM","label":"Armenia","provenance":null}],"subjects":[{"subject":{"scheme":"SDG","value":"2. 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Rational use of resource potential of a territory and elimination of ecological risk emerging as a result of intense anthropogenic impact is one of important aspects of the sustainable development of the region. The impact of grazing is simulated and it was demonstrated that steady state carbon and nitrogen were sensitive to grazing intensity. Modeling provides potential for testing hypotheses on rates of nutrient accumulation, litter decomposition and identify gaps in the soil processes presentation. Since models are applied to the systems with different intensity of grazing it became possible to estimate consequences of the land use, define local specific processes that could persist under specific regimes of farming."],"publicationDate":"2016-03-07","publisher":null,"embargoEndDate":null,"sources":null,"formats":null,"contributors":["Revazyan Robert","Ajabyan Nelli"],"coverages":null,"bestAccessRight":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"container":null,"documentationUrls":null,"codeRepositoryUrl":null,"programmingLanguage":null,"contactPeople":null,"contactGroups":null,"tools":null,"size":null,"version":null,"geoLocations":null,"id":"2762f04c3d6f::1b8d3c57e1734c01d7f4b1b929fb845e","originalIds":["oai:noad.sci.am:135902","50|2762f04c3d6f::1b8d3c57e1734c01d7f4b1b929fb845e"],"pids":null,"dateOfCollection":null,"lastUpdateTimeStamp":null,"indicators":{"citationImpact":{"citationCount":0.0,"influence":2.2251732E-9,"popularity":6.971976E-10,"impulse":0.0,"citationClass":"C5","influenceClass":"C5","impulseClass":"C5","popularityClass":"C5"}},"projects":null,"organizations":[{"legalName":"National Academy of Sciences","acronym":"NAS","id":"openorgs____::8febd5f6438186ca905cffacad30f6e8","pids":[{"scheme":"FundRef","value":"501100003667"},{"scheme":"GRID","value":"grid.467716.5"},{"scheme":"fundref","value":"501100003667"},{"scheme":"ROR","value":"https://ror.org/0030qkm60"},{"scheme":"ISNI","value":"0000000123642178"},{"scheme":"Wikidata","value":"Q15715109"},{"scheme":"wikidata","value":"Q15715109"}]},{"legalName":"Center for Ecological Noosphere Studies","acronym":"CENS","id":"openorgs____::17da794f187112ca52d1a3f8f0c22fea","pids":[{"scheme":"GRID","value":"grid.483223.c"},{"scheme":"ROR","value":"https://ror.org/01fh9nm31"}]},{"legalName":"NATIONAL ACADEMY OF SCIENCES","acronym":"NATIONAL ACADEMY OF SCIENCES","id":"pending_org_::488f79c1048f14fd57c865ce598a0772","pids":null},{"legalName":"National Academy of Sciences","acronym":"NAS","id":"openorgs____::745f95d011dadb87b5365e906d75d504","pids":[{"scheme":"Wikidata","value":"Q270794"},{"scheme":"wikidata","value":"Q270794"},{"scheme":"ROR","value":"https://ror.org/038mfx688"},{"scheme":"FundRef","value":"100000209"},{"scheme":"PIC","value":"962388217"},{"scheme":"GRID","value":"grid.275752.0"},{"scheme":"fundref","value":"100000209"},{"scheme":"mag_id","value":"1318687432"}]},{"legalName":"NATIONAL ACADEMY OF SCIENCES","acronym":"NATIONAL ACADEMY OF SCIENCES","id":"pending_org_::b65a81843ff0bbea95470653ed90a2b0","pids":null},{"legalName":"National Academy of Sciences","acronym":"ANC","id":"pending_org_::37becfe9164b44df7cbbab881ceaf96d","pids":[{"scheme":"wikidata","value":"Q30668405"},{"scheme":"ROR","value":"https://ror.org/05qqw9p49"},{"scheme":"GRID","value":"grid.510514.4"},{"scheme":"Wikidata","value":"Q30668405"}]}],"communities":null,"collectedFrom":[{"key":"openaire____::172bbccecf8fca44ab6a6653e84cb92a","value":"Armenian OpenAIRE NOAD"}],"instances":[{"accessRight":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/","openAccessRoute":null},"type":"Article","urls":["http://noad.sci.am/Content/135902/301-305.pdf"],"publicationDate":"2016-03-07","refereed":"nonPeerReviewed","hostedBy":{"key":"openaire____::172bbccecf8fca44ab6a6653e84cb92a","value":"Armenian OpenAIRE NOAD"},"collectedFrom":{"key":"openaire____::172bbccecf8fca44ab6a6653e84cb92a","value":"Armenian OpenAIRE NOAD"}}],"links":[],"otherTitles":null,"inDiamondJournal":false,"green":true,"isGreen":true,"isInDiamondJournal":false},{"authors":[{"id":null,"fullName":"Astsatryan Hrachya","name":null,"surname":null,"rank":1,"pid":null}],"openAccessColor":null,"publiclyFunded":false,"eoscIfGuidelines":null,"type":"publication","language":{"code":"eng","label":"English"},"countries":[{"code":"AM","label":"Armenia","provenance":null}],"subjects":[{"subject":{"scheme":"SDG","value":"13. Climate action"},"provenance":null},{"subject":{"scheme":"SDG","value":"11. Sustainability"},"provenance":null},{"subject":{"scheme":"FOS","value":"0202 electrical engineering, electronic engineering, information engineering"},"provenance":null},{"subject":{"scheme":"FOS","value":"02 engineering and technology"},"provenance":null},{"subject":{"scheme":"SDG","value":"7. Clean energy"},"provenance":null},{"subject":{"scheme":"SDG","value":"12. Responsible consumption"},"provenance":null}],"mainTitle":"Energy optimization methodology for e‐infrastructure providers","subTitle":null,"descriptions":["The environmental protection is a dominant concern for all types of industries, organizations, and governments. In this regard, the reduction of the energy consumption is substantial in bringing down the CO2 gas emission, which is considered as an important factor causing global warming. The e‐infrastructure service providers, such as National Research and Education Networks or National Grid Initiatives have crucial role in the context of energy awareness because the energy consumption of the networking, data, and computational infrastructures keeps increasing exponentially over the time. In addition to this, scientific gateways and cloud services are becoming more significant to tackle scientific and societal challenges. Therefore, there is a need to provide robust and reliable services taking into account energy consumption aspect of e‐infrastructures. The aim of the article is to introduce an energy optimization methodology for the beneficiaries of the e‐infrastructures to explore, optimize, and report the energy consumption and CO2 emission of data, computing, and networking facilities. The suggested methodology has been implemented within the Armenian e‐infrastructure aiming at the reduction of the energy consumption and thereby the CO2 emission."],"publicationDate":"2016-11-26","publisher":null,"embargoEndDate":null,"sources":null,"formats":null,"contributors":["Narsisian Wahi","Kocharyan Aram","Da Costa Georges","Hankel Albert","Oleksiak Ariel"],"coverages":null,"bestAccessRight":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"container":null,"documentationUrls":null,"codeRepositoryUrl":null,"programmingLanguage":null,"contactPeople":null,"contactGroups":null,"tools":null,"size":null,"version":null,"geoLocations":null,"id":"2762f04c3d6f::57765c401ab4e2a5ba6ab4ca6e7b1f5a","originalIds":["50|2762f04c3d6f::57765c401ab4e2a5ba6ab4ca6e7b1f5a","oai:noad.sci.am:136132"],"pids":null,"dateOfCollection":null,"lastUpdateTimeStamp":null,"indicators":{"citationImpact":{"citationCount":0.0,"influence":2.2251732E-9,"popularity":6.971976E-10,"impulse":0.0,"citationClass":"C5","influenceClass":"C5","impulseClass":"C5","popularityClass":"C5"}},"projects":null,"organizations":null,"communities":[{"code":"energy-planning","label":"Energy Planning","provenance":null}],"collectedFrom":[{"key":"openaire____::172bbccecf8fca44ab6a6653e84cb92a","value":"Armenian OpenAIRE NOAD"}],"instances":[{"accessRight":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/","openAccessRoute":null},"type":"Article","urls":["https://noad.sci.am/dlibra/docmetadata?showContent=true&id=136132"],"publicationDate":"2016-11-26","refereed":"nonPeerReviewed","hostedBy":{"key":"openaire____::172bbccecf8fca44ab6a6653e84cb92a","value":"Armenian OpenAIRE NOAD"},"collectedFrom":{"key":"openaire____::172bbccecf8fca44ab6a6653e84cb92a","value":"Armenian OpenAIRE NOAD"}}],"links":null,"otherTitles":null,"inDiamondJournal":false,"green":true,"isGreen":true,"isInDiamondJournal":false},{"authors":[{"id":null,"fullName":"Astsatryan Hrachya","name":null,"surname":null,"rank":1,"pid":null}],"openAccessColor":null,"publiclyFunded":false,"eoscIfGuidelines":null,"type":"publication","language":{"code":"eng","label":"English"},"countries":[{"code":"AM","label":"Armenia","provenance":null}],"subjects":[{"subject":{"scheme":"SDG","value":"13. 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As a result, mining‐related industries such as dressing and metallurgical plants were permitted to operate without environmental regulations, and geo‐exploration and exploitation works in deposits were conducted disregarding nature protection norms. As the key national environmental academic entity, the Center for Ecological‐Noosphere Studies of the National Academy of Sciences of the Republic of Armenia (CENS) has a strong national role in delivering authoritative environmental information and data sets. Aware of the need for enhanced and more efficient delivery of information and data sharing, CENS engaged in recent years in several international capacity building projects directed to the setting up of an environmental Spatial Data Infrastructure (SDI). The goal of this SDI was both to provide enhanced capacities for intra muro maintenance and exchange of data among research groups and\\ to allow various external stakeholders to access more efficiently geospatial data sets and services. This first step was successful in showing the potential of data sharing for internal institutional organization, to gain visibility towards key stakeholders in the country and the South Caucasus region, and to start engaging in international voluntary partnerships such as the Group on Earth Observations (GEO). CENS now envisions to scale up its SDI infrastructure to a national SDI (nSDI) in order to support a wider range of geospatial services towards the Armenian environmental community. This paper will discuss several aspects and challenges of the envisioned strategy for an Armenian nSDI. First, we present how the current components of the implemented SDI benefit the scientific and environmental communities in Armenia, with an emphasis on the promising link between high performance computing and geospatial services. Second, we examine how the EGIDA methodology – a GEO capacity building suites of activities developed in the FP7 project of the same name – can be applied to support the process of scaling up the infrastructure to become a nSDI, which has been selected as a pilot study in the FP7 EOPOWER project. Finally, we discuss the potential of future full‐scale provision of geospatial services in Armenia and how these could benefit the various stakeholders involved in Armenia and in the South Caucasus region."],"publicationDate":"2014-01-01","publisher":null,"embargoEndDate":null,"sources":null,"formats":null,"contributors":["Asmaryan Shushanik","Saghatelyan Armen","Bigagli Lorenzo","Mazzetti Paolo","Nativi Stefano","Guigoz Yaniss","Pierre Lacroix","Gregory Giuliani","Nicolas Ray"],"coverages":null,"bestAccessRight":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"container":null,"documentationUrls":null,"codeRepositoryUrl":null,"programmingLanguage":null,"contactPeople":null,"contactGroups":null,"tools":null,"size":null,"version":null,"geoLocations":null,"id":"2762f04c3d6f::8cb322e6ce1d04e4e1386f4dcd24fb88","originalIds":["50|2762f04c3d6f::8cb322e6ce1d04e4e1386f4dcd24fb88","oai:noad.sci.am:135820"],"pids":null,"dateOfCollection":null,"lastUpdateTimeStamp":null,"indicators":{"citationImpact":{"citationCount":0.0,"influence":2.2251732E-9,"popularity":5.5730287E-10,"impulse":0.0,"citationClass":"C5","influenceClass":"C5","impulseClass":"C5","popularityClass":"C5"}},"projects":[{"id":"snsf________::3c5c893d0214c89fdfa50e1af885b0d5","code":"137325","acronym":null,"title":"Deploying ARmenian distributed Processing capacities for Environmental GEOspatial data (ARPEGEO)","funder":"Swiss National Science Foundation","pids":null}],"organizations":null,"communities":null,"collectedFrom":[{"key":"openaire____::172bbccecf8fca44ab6a6653e84cb92a","value":"Armenian OpenAIRE NOAD"}],"instances":[{"accessRight":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/","openAccessRoute":null},"type":"Article","urls":["http://noad.sci.am/Content/135820/PavingthewaytowardanenvironmentalNSDIinArmenia.pdf"],"publicationDate":"2014-01-01","refereed":"nonPeerReviewed","hostedBy":{"key":"openaire____::172bbccecf8fca44ab6a6653e84cb92a","value":"Armenian OpenAIRE NOAD"},"collectedFrom":{"key":"openaire____::172bbccecf8fca44ab6a6653e84cb92a","value":"Armenian OpenAIRE NOAD"}}],"links":[{"header":{"relationType":"resultProject","relationClass":"isProducedBy","relatedIdentifier":"snsf________::3c5c893d0214c89fdfa50e1af885b0d5","relatedRecordType":"project","relationProvenance":"iis","trust":"0.72"},"collectedfrom":[{"dsId":"openaire____::d8f3c25e18304608ce8e816e99603d7a","dsName":"SNSF - Swiss National Science Foundation"}],"projectTitle":"Deploying ARmenian distributed Processing capacities for Environmental GEOspatial data (ARPEGEO)","code":"137325","funding":{"funder":{"id":"snsf________::SNSF","shortname":"SNSF","name":"Swiss National Science Foundation","jurisdiction":{"code":"CH","label":"Switzerland"},"pid":null},"level0":{"id":"snsf________::SNSF::Programmes","description":"Programmes","name":"Programmes"},"level1":{"id":"snsf________::SNSF::Programmes::SCOPES","description":"SCOPES","name":"SCOPES"},"level2":{"id":null,"description":null,"name":null}},"startDate":"2011-09-01","endDate":"2013-08-31"}],"otherTitles":null,"inDiamondJournal":false,"green":true,"isGreen":true,"isInDiamondJournal":false},{"authors":[{"id":null,"fullName":"Astsatryan Hrachya","name":null,"surname":null,"rank":1,"pid":null}],"openAccessColor":null,"publiclyFunded":false,"eoscIfGuidelines":null,"type":"publication","language":{"code":"eng","label":"English"},"countries":[{"code":"AM","label":"Armenia","provenance":null}],"subjects":[{"subject":{"scheme":"SDG","value":"13. 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The platform gives Armenian State Hydrometeorological and Monitoring Service analytical capabilities to analyze the in-situ observations, model and satellite image data per station and region for a given period."],"publicationDate":"2017-12-31","publisher":null,"embargoEndDate":null,"sources":null,"formats":null,"contributors":["Grogoryan Hayk","Gyulgyulyan Eliza","Hakobyan Anush","Kocharyan Aram","Narsisian Wahi","Sahakyan Vladimir","Yuri Shoukourian","Rita Abrahamyan","Zarmandukht Petrosyan","Julien Aligon"],"coverages":null,"bestAccessRight":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"container":null,"documentationUrls":null,"codeRepositoryUrl":null,"programmingLanguage":null,"contactPeople":null,"contactGroups":null,"tools":null,"size":null,"version":null,"geoLocations":null,"id":"2762f04c3d6f::f42fe11a2f5d598ce13af02d38870046","originalIds":["50|2762f04c3d6f::f42fe11a2f5d598ce13af02d38870046","oai:noad.sci.am:135829"],"pids":null,"dateOfCollection":null,"lastUpdateTimeStamp":null,"indicators":{"citationImpact":{"citationCount":0.0,"influence":2.2251732E-9,"popularity":7.8583434E-10,"impulse":0.0,"citationClass":"C5","influenceClass":"C5","impulseClass":"C5","popularityClass":"C5"}},"projects":null,"organizations":null,"communities":null,"collectedFrom":[{"key":"openaire____::172bbccecf8fca44ab6a6653e84cb92a","value":"Armenian OpenAIRE NOAD"}],"instances":[{"accessRight":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/","openAccessRoute":null},"type":"Article","urls":["https://noad.sci.am/dlibra/docmetadata?showContent=true&id=135829"],"publicationDate":"2017-12-31","refereed":"nonPeerReviewed","hostedBy":{"key":"openaire____::172bbccecf8fca44ab6a6653e84cb92a","value":"Armenian OpenAIRE NOAD"},"collectedFrom":{"key":"openaire____::172bbccecf8fca44ab6a6653e84cb92a","value":"Armenian OpenAIRE NOAD"}}],"links":null,"otherTitles":null,"inDiamondJournal":false,"green":true,"isGreen":true,"isInDiamondJournal":false},{"authors":[{"id":null,"fullName":"Environment and Climate Change Canada | Environnement et Changement climatique Canada","name":null,"surname":null,"rank":1,"pid":null}],"openAccessColor":null,"publiclyFunded":null,"eoscIfGuidelines":null,"type":"dataset","language":{"code":"und","label":"Undetermined"},"countries":[{"code":"CA","label":"Canada","provenance":null}],"subjects":[{"subject":{"scheme":"keyword","value":"nature_and_environment"},"provenance":null},{"subject":{"scheme":"keyword","value":"oil sands"},"provenance":null},{"subject":{"scheme":"keyword","value":"Observation/Measurement"},"provenance":null},{"subject":{"scheme":"keyword","value":"Game (Wildlife)"},"provenance":null},{"subject":{"scheme":"keyword","value":"Gibier"},"provenance":null},{"subject":{"scheme":"SDG","value":"15. Life on land"},"provenance":null},{"subject":{"scheme":"SDG","value":"6. Clean water"},"provenance":null},{"subject":{"scheme":"keyword","value":"biodiversité"},"provenance":null},{"subject":{"scheme":"keyword","value":"monitoring"},"provenance":null},{"subject":{"scheme":"keyword","value":"Oil sands"},"provenance":null},{"subject":{"scheme":"SDG","value":"13. Climate action"},"provenance":null},{"subject":{"scheme":"keyword","value":"plants and soil"},"provenance":null},{"subject":{"scheme":"keyword","value":"surveillance"},"provenance":null},{"subject":{"scheme":"keyword","value":"Sables bitumineux"},"provenance":null},{"subject":{"scheme":"keyword","value":"plantes et sol"},"provenance":null},{"subject":{"scheme":"keyword","value":"contaminants"},"provenance":null},{"subject":{"scheme":"keyword","value":"Observation et mesures"},"provenance":null},{"subject":{"scheme":"keyword","value":"sables bitumineux"},"provenance":null},{"subject":{"scheme":"keyword","value":"biodiversity"},"provenance":null}],"mainTitle":"Laboratory Phytotoxicity and Contaminants, Oil Sands Region","subTitle":null,"descriptions":["Évaluation des concentrations d'hydrocarbures aromatiques polycycliques et d'acide naphténique dans des échantillons de sol recueillis en 2012 – évaluation sur le terrain et en laboratoire des contaminants Des concentrations d'hydrocarbures aromatiques polycycliques et d'acides naphténiques ont été mesurées dans des échantillons de sol prélevés en 2012. Les concentrations mesurées à tous les sites étaient, à une exception près, toujours inférieures aux recommandations pour la qualité des sols établies par le CCME. Les concentrations d'hydrocarbures aromatiques polycycliques mesurées dans les échantillons prélevés près d'un développement industriel de sables bitumineux au nord-ouest de la Saskatchewan étaient plus élevées que les concentrations d'hydrocarbures aromatiques polycycliques. Cette observation n'était pas inattendue, étant donné que les hydrocarbures aromatiques polycycliques sont présents dans le bitume naturellement présent en Alberta. Une analyse des données a révélé que seul un des composés d'hydrocarbures aromatiques polycycliques (le naphtalène) dépassait le niveau recommandé par le CCME, d'environ 60 %, à un site situé à l'extrémité ouest de la ville de Fort McMurray. Les concentrations d'acides naphténiques étaient semblables à tous les sites, à l'exception, encore une fois, du site près de Fort Murray, pour lequel les concentrations étaient légèrement plus élevées par rapport aux autres sites. Les résultats ont révélé que les hydrocarbures aromatiques polycycliques et les acides naphténiques ont pu être détectés dans les échantillons de sol prélevés. À l'heure actuelle, il n'existe pas de recommandations pour la qualité des sols du CCME concernant les acides naphténiques. Nous sommes d'avis, en tant qu'experts, que les concentrations observées de ces contaminants ne sont pas susceptibles de représenter un risque pour les populations sauvages dans la région.","Assessing polycyclic aromatic hydrocarbon and naphthenic acid concentrations in soils collected in 2012 – Field and Laboratory Assessment of Contaminants The concentrations of polycyclic aromatic hydrocarbons (PAHs) and naphthenic acids (NAs) were measured in soil samples collected in 2012. Concentrations at all sites were, with one exception, always below soil quality guidelines established by the Canadian Council of Ministers of the Environment (CCME). PAH concentrations in soil at sites near oil sands industrial development were higher than PAH concentrations in northwestern Saskatchewan. This finding was not unexpected given that PAHs are present in naturally occurring Alberta bitumen. Analysis of the data revealed that only one of the PAH compounds – naphthalene – exceeded the CCME guideline level, by approximately 60%, at a site located on the western edge of the townsite of Fort McMurray. NA concentrations were similar across all sites, again with the exception of the site near Fort McMurray which had slightly elevated concentrations compared to the other sites. Results revealed that PAHs and NAs could be detected in the soil samples collected. CCME soil quality guidelines do not currently exist for NAs. It is our expert opinion that the observed concentrations of these contaminants are not likely posing a contamination risk to wildlife populations in the region."],"publicationDate":"2013-10-04","publisher":"Open Data Canada","embargoEndDate":null,"sources":null,"formats":null,"contributors":null,"coverages":null,"bestAccessRight":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"container":null,"documentationUrls":null,"codeRepositoryUrl":null,"programmingLanguage":null,"contactPeople":null,"contactGroups":null,"tools":null,"size":null,"version":null,"geoLocations":null,"id":"475c1990cbb2::000a6bd6f76eff3e03cd12212dbc2cb9","originalIds":["oai:open.canada.ca:d5fe01ba-9315-4ab0-9083-abec447daa27","50|475c1990cbb2::000a6bd6f76eff3e03cd12212dbc2cb9"],"pids":null,"dateOfCollection":null,"lastUpdateTimeStamp":null,"indicators":{"citationImpact":{"citationCount":0.0,"influence":2.2251732E-9,"popularity":5.0245597E-10,"impulse":0.0,"citationClass":"C5","influenceClass":"C5","impulseClass":"C5","popularityClass":"C5"}},"projects":null,"organizations":null,"communities":null,"collectedFrom":[{"key":"openaire____::3795d6478e30e2c9f787d427ff160944","value":"Lunaris"}],"instances":[{"license":"http://open.canada.ca/en/open-government-licence-canada","accessRight":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/","openAccessRoute":null},"type":"Dataset","urls":["https://open.canada.ca/data/en/dataset/d5fe01ba-9315-4ab0-9083-abec447daa27"],"publicationDate":"2013-10-04","refereed":"nonPeerReviewed","hostedBy":{"key":"openaire____::3795d6478e30e2c9f787d427ff160944","value":"Lunaris"},"collectedFrom":{"key":"openaire____::3795d6478e30e2c9f787d427ff160944","value":"Lunaris"}}],"links":null,"otherTitles":["Phyotoxicité en laboratoire et contaminants, région des sables bitumineux"],"inDiamondJournal":null,"green":null,"isGreen":null,"isInDiamondJournal":null},{"authors":[{"id":null,"fullName":"Natural Resources Canada | Ressources naturelles Canada","name":null,"surname":null,"rank":1,"pid":null}],"openAccessColor":null,"publiclyFunded":null,"eoscIfGuidelines":null,"type":"dataset","language":{"code":"und","label":"Undetermined"},"countries":[{"code":"CA","label":"Canada","provenance":null}],"subjects":[{"subject":{"scheme":"keyword","value":"satellites"},"provenance":null},{"subject":{"scheme":"SDG","value":"13. 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L'archive VGT renferme des observations acquises par les capteurs 1 et 2 de VÉGÉTATION à bord des satellites SPOT 4 et 5. Les données initiales pleine résolution (1 km) d'images composites S10 de type 10 jours fournies par le Centre national d'études spatiales (CNES) et pré-traitées au VITO (Belgique) ont été transposées suivant la projection CCL normalisée et davantage corrigées pour tenir compte des effets de la fonction de réflectance diffuse bi-directionnelle (BRDF) et de la contamination par les nuages. Pour les saisons de croissance de 1998 à 2004, on dispose de 20 images composites sur 10 jours du 11 avril au 31 octobre. Chaque image composite comprend quatre bandes visibles en réflectance à la surface : bleu (0,43-0,47 mm), rouge (0,61-0,68 mm), proche infrarouge (0,78-0,89 mm) et infrarouge à courte longueur d'onde (1,58-1,75 mm), ainsi que deux couches de données comprenant l'indice différentiel normalisé de végétation (NDVI) et le masque de nuages. Les données des images composites sur 10 jours ont été traitées de nouveau suivant la méthodologie de correction post-saisonnière du CCT. Ce produit amélioré est utilisé pour les études de la couverture terrestre et du changement climatique afin de générer des produits haut de gamme comme la fraction du rayonnement photosynthétiquement actif (FRPA) et l'indice de surface foliaire (ISF).","As part of the climate change research, data from the SPOT/VEGETATION instrument are systematically corrected for period 1998-2004 and provided in this archive. The VGT archive contains observations acquired by the VEGETATION sensors 1 and 2 onboard SPOT 4 and 5 satellites. Initial data type 10-day S10 composites provided by the Centre National d'Etudes Spatiales (CNES) and pre-processed at the Flemish Institute for Technological Research (VITO) in Belgium in full resolution (1km) were re-projected into standard Lambert conformal conic map projection and further corrected for bi-directional Reflectance Distribution Function (BRDF) effect and cloud contamination. Growing seasons 1998-2004 are presented with twenty 10-day composites from April 11, to October 31. Each composite contains four at-surface apparent reflectance bands: blue (0.43-0.47 mm), red (0.61-0.68 mm), near infrared (0.78-0.89 mm), and shortwave infrared (1.58-1.75mm) and two data layers containing normalized difference vegetation index (NDVI) and Cloud mask. The 10-day composite data were reprocessed following Canada Centre for Remote Sensing (CCRS) post-seasonal correction. This improved product is used in land cover and climate change studies to generate various high-level products such as Fraction of Photosynthetically Active Radiation (FPAR) and Leaf Area Index (LAI)."],"publicationDate":"2000-12-01","publisher":"Open Data Canada","embargoEndDate":null,"sources":null,"formats":null,"contributors":null,"coverages":null,"bestAccessRight":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"container":null,"documentationUrls":null,"codeRepositoryUrl":null,"programmingLanguage":null,"contactPeople":null,"contactGroups":null,"tools":null,"size":null,"version":null,"geoLocations":null,"id":"475c1990cbb2::00378ae87ebbcbb0d110b364cc98f891","originalIds":["50|475c1990cbb2::00378ae87ebbcbb0d110b364cc98f891","oai:open.canada.ca:795b61fc-8a8d-5b5f-9f92-bd2e8c6fc15d"],"pids":null,"dateOfCollection":null,"lastUpdateTimeStamp":null,"indicators":{"citationImpact":{"citationCount":0.0,"influence":2.2251732E-9,"popularity":2.2584563E-10,"impulse":0.0,"citationClass":"C5","influenceClass":"C5","impulseClass":"C5","popularityClass":"C5"}},"projects":null,"organizations":null,"communities":null,"collectedFrom":[{"key":"openaire____::3795d6478e30e2c9f787d427ff160944","value":"Lunaris"}],"instances":[{"license":"http://open.canada.ca/en/open-government-licence-canada","accessRight":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/","openAccessRoute":null},"type":"Dataset","urls":["https://open.canada.ca/data/en/dataset/795b61fc-8a8d-5b5f-9f92-bd2e8c6fc15d"],"publicationDate":"2000-12-01","refereed":"nonPeerReviewed","hostedBy":{"key":"openaire____::3795d6478e30e2c9f787d427ff160944","value":"Lunaris"},"collectedFrom":{"key":"openaire____::3795d6478e30e2c9f787d427ff160944","value":"Lunaris"}}],"links":null,"otherTitles":["Images composites SPOT/VEGETATION du Canada, à résolution de 1 km, sur 10 jours, pour les saisons de croissance-2000-12-01"],"inDiamondJournal":null,"green":null,"isGreen":null,"isInDiamondJournal":null},{"authors":[{"id":null,"fullName":"Natural Resources Canada | Ressources naturelles Canada","name":null,"surname":null,"rank":1,"pid":null}],"openAccessColor":null,"publiclyFunded":null,"eoscIfGuidelines":null,"type":"dataset","language":{"code":"und","label":"Undetermined"},"countries":[{"code":"CA","label":"Canada","provenance":null}],"subjects":[{"subject":{"scheme":"keyword","value":"nature_and_environment"},"provenance":null},{"subject":{"scheme":"keyword","value":"climat"},"provenance":null},{"subject":{"scheme":"keyword","value":"meteorological data"},"provenance":null},{"subject":{"scheme":"keyword","value":"temperature"},"provenance":null},{"subject":{"scheme":"SDG","value":"15. Life on land"},"provenance":null},{"subject":{"scheme":"keyword","value":"météorologie"},"provenance":null},{"subject":{"scheme":"FOS","value":"01 natural sciences"},"provenance":null},{"subject":{"scheme":"keyword","value":"données météorologiques"},"provenance":null},{"subject":{"scheme":"SDG","value":"13. Climate action"},"provenance":null},{"subject":{"scheme":"keyword","value":"température"},"provenance":null},{"subject":{"scheme":"keyword","value":"science_and_technology"},"provenance":null},{"subject":{"scheme":"keyword","value":"meteorology"},"provenance":null},{"subject":{"scheme":"keyword","value":"climate"},"provenance":null},{"subject":{"scheme":"FOS","value":"0105 earth and related environmental sciences"},"provenance":null}],"mainTitle":"Climatic Regions Thornthwaite Classification Thermal Efficiency Regions","subTitle":null,"descriptions":["La 5e édition (1978 à 1995) de l'Atlas national du Canada contient une carte indiquant la répartition des deux éléments thermiques du système de classification climatique de Thornthwaite : l'efficacité thermique (mesure de la chaleur reçue au sol), représentée par cinq teintes différentes, et la concentration estivale de l'efficacité thermique, représentée par des traits séparant les huit catégories. Dans les deux cas, les données climatiques utilisées portent sur la période allant de 1941 à 1970.","Contained within the 5th Edition (1978 to 1995) of the National Atlas of Canada is a map that shows the distribution for the two thermal aspects of Thornthwaite's climate classification system. There is thermal efficiency (a measure of heat received at the ground) shown as coloured areas in five classes and summer concentration of thermal efficiency shown by linework separating the eight classes. The climatic data for 1941 to 1970 is used for both aspects."],"publicationDate":"1990-03-11","publisher":"Open Data Canada","embargoEndDate":null,"sources":null,"formats":null,"contributors":null,"coverages":null,"bestAccessRight":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"container":null,"documentationUrls":null,"codeRepositoryUrl":null,"programmingLanguage":null,"contactPeople":null,"contactGroups":null,"tools":null,"size":null,"version":null,"geoLocations":null,"id":"475c1990cbb2::003c15c2dd42d2be59c0f6ae12789d0f","originalIds":["oai:open.canada.ca:eb0d167b-0ef9-5c90-90fe-b7ad89b157a2","50|475c1990cbb2::003c15c2dd42d2be59c0f6ae12789d0f"],"pids":null,"dateOfCollection":null,"lastUpdateTimeStamp":null,"indicators":{"citationImpact":{"citationCount":0.0,"influence":2.2251732E-9,"popularity":1.9432808E-10,"impulse":0.0,"citationClass":"C5","influenceClass":"C5","impulseClass":"C5","popularityClass":"C5"}},"projects":null,"organizations":null,"communities":null,"collectedFrom":[{"key":"openaire____::3795d6478e30e2c9f787d427ff160944","value":"Lunaris"}],"instances":[{"license":"http://open.canada.ca/en/open-government-licence-canada","accessRight":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/","openAccessRoute":null},"type":"Dataset","urls":["https://open.canada.ca/data/en/dataset/eb0d167b-0ef9-5c90-90fe-b7ad89b157a2"],"publicationDate":"1990-03-11","refereed":"nonPeerReviewed","hostedBy":{"key":"openaire____::3795d6478e30e2c9f787d427ff160944","value":"Lunaris"},"collectedFrom":{"key":"openaire____::3795d6478e30e2c9f787d427ff160944","value":"Lunaris"}}],"links":null,"otherTitles":["Régions climatiques - Classification de Thornthwaite – Régions d'efficacité thermique"],"inDiamondJournal":null,"green":null,"isGreen":null,"isInDiamondJournal":null},{"authors":[{"id":null,"fullName":"Lévesque, Esther","name":"Esther","surname":"Lévesque","rank":1,"pid":null},{"id":null,"fullName":"Gérin-Lajoie, José","name":"José","surname":"Gérin-Lajoie","rank":2,"pid":null},{"id":null,"fullName":"Gauthier, Yves","name":"Yves","surname":"Gauthier","rank":3,"pid":null},{"id":null,"fullName":"Samson, Ghislain","name":"Ghislain","surname":"Samson","rank":4,"pid":null},{"id":null,"fullName":"Bernier, Monique","name":"Monique","surname":"Bernier","rank":5,"pid":null}],"openAccessColor":null,"publiclyFunded":null,"eoscIfGuidelines":null,"type":"dataset","language":{"code":"und","label":"Undetermined"},"countries":[{"code":"CA","label":"Canada","provenance":null}],"subjects":[{"subject":{"scheme":"SDG","value":"13. 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We expect this initiative to spark Inuit Youth interest in science and technology and contribute to capacity-building in long-term environmental observation and monitoring."],"publicationDate":"2015-06-17","publisher":"Polar Data Catalogue","embargoEndDate":null,"sources":null,"formats":null,"contributors":["Federated Research Data Repository","Dépôt fédéré de données de recherche"],"coverages":null,"bestAccessRight":{"code":"c_16ec","label":"RESTRICTED","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"container":null,"documentationUrls":null,"codeRepositoryUrl":null,"programmingLanguage":null,"contactPeople":null,"contactGroups":null,"tools":null,"size":null,"version":null,"geoLocations":null,"id":"475c1990cbb2::00408b3c87acd21da16bb385ef06c5dc","originalIds":["50|475c1990cbb2::00408b3c87acd21da16bb385ef06c5dc","oai:polardata.ca:12452_fgdc"],"pids":null,"dateOfCollection":null,"lastUpdateTimeStamp":null,"indicators":{"citationImpact":{"citationCount":0.0,"influence":2.2251732E-9,"popularity":6.2166633E-10,"impulse":0.0,"citationClass":"C5","influenceClass":"C5","impulseClass":"C5","popularityClass":"C5"}},"projects":null,"organizations":null,"communities":null,"collectedFrom":[{"key":"openaire____::3795d6478e30e2c9f787d427ff160944","value":"Federated Research Data Repository / Dépôt fédéré de données de recherche"}],"instances":[{"accessRight":{"code":"c_16ec","label":"RESTRICTED","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/","openAccessRoute":null},"type":"Dataset","urls":["https://www.polardata.ca/pdcsearch/PDCSearchDOI.jsp?doi_id=12452"],"publicationDate":"2015-06-17","refereed":"nonPeerReviewed","hostedBy":{"key":"openaire____::3795d6478e30e2c9f787d427ff160944","value":"Federated Research Data Repository / Dépôt fédéré de données de recherche"},"collectedFrom":{"key":"openaire____::3795d6478e30e2c9f787d427ff160944","value":"Federated Research Data Repository / Dépôt fédéré de données de recherche"}}],"links":null,"otherTitles":null,"inDiamondJournal":null,"green":null,"isGreen":null,"isInDiamondJournal":null},{"authors":[{"id":null,"fullName":"Natural Resources Canada | Ressources naturelles Canada","name":null,"surname":null,"rank":1,"pid":null}],"openAccessColor":null,"publiclyFunded":null,"eoscIfGuidelines":null,"type":"dataset","language":{"code":"und","label":"Undetermined"},"countries":[{"code":"CA","label":"Canada","provenance":null}],"subjects":[{"subject":{"scheme":"keyword","value":"satellites"},"provenance":null},{"subject":{"scheme":"SDG","value":"13. 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L'archive VGT renferme des observations acquises par les capteurs 1 et 2 de VÉGÉTATION à bord des satellites SPOT 4 et 5. Les données initiales pleine résolution (1 km) d'images composites S10 de type 10 jours fournies par le Centre national d'études spatiales (CNES) et pré-traitées au VITO (Belgique) ont été transposées suivant la projection CCL normalisée et davantage corrigées pour tenir compte des effets de la fonction de réflectance diffuse bi-directionnelle (BRDF) et de la contamination par les nuages. Pour les saisons de croissance de 1998 à 2004, on dispose de 20 images composites sur 10 jours du 11 avril au 31 octobre. Chaque image composite comprend quatre bandes visibles en réflectance à la surface : bleu (0,43-0,47 mm), rouge (0,61-0,68 mm), proche infrarouge (0,78-0,89 mm) et infrarouge à courte longueur d'onde (1,58-1,75 mm), ainsi que deux couches de données comprenant l'indice différentiel normalisé de végétation (NDVI) et le masque de nuages. Les données des images composites sur 10 jours ont été traitées de nouveau suivant la méthodologie de correction post-saisonnière du CCT. Ce produit amélioré est utilisé pour les études de la couverture terrestre et du changement climatique afin de générer des produits haut de gamme comme la fraction du rayonnement photosynthétiquement actif (FRPA) et l'indice de surface foliaire (ISF).","As part of the climate change research, data from the SPOT/VEGETATION instrument are systematically corrected for period 1998-2004 and provided in this archive. The VGT archive contains observations acquired by the VEGETATION sensors 1 and 2 onboard SPOT 4 and 5 satellites. Initial data type 10-day S10 composites provided by the Centre National d'Etudes Spatiales (CNES) and pre-processed at the Flemish Institute for Technological Research (VITO) in Belgium in full resolution (1km) were re-projected into standard Lambert conformal conic map projection and further corrected for bi-directional Reflectance Distribution Function (BRDF) effect and cloud contamination. Growing seasons 1998-2004 are presented with twenty 10-day composites from April 11, to October 31. Each composite contains four at-surface apparent reflectance bands: blue (0.43-0.47 mm), red (0.61-0.68 mm), near infrared (0.78-0.89 mm), and shortwave infrared (1.58-1.75mm) and two data layers containing normalized difference vegetation index (NDVI) and Cloud mask. The 10-day composite data were reprocessed following Canada Centre for Remote Sensing (CCRS) post-seasonal correction. This improved product is used in land cover and climate change studies to generate various high-level products such as Fraction of Photosynthetically Active Radiation (FPAR) and Leaf Area Index (LAI)."],"publicationDate":"2005-12-21","publisher":"Open Data Canada","embargoEndDate":null,"sources":null,"formats":null,"contributors":null,"coverages":null,"bestAccessRight":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"container":null,"documentationUrls":null,"codeRepositoryUrl":null,"programmingLanguage":null,"contactPeople":null,"contactGroups":null,"tools":null,"size":null,"version":null,"geoLocations":null,"id":"475c1990cbb2::004239ef80bb10e78fcd0f42ba0e2183","originalIds":["50|475c1990cbb2::004239ef80bb10e78fcd0f42ba0e2183","oai:open.canada.ca:4fab0887-7ded-55a9-a377-5ff1ef715f87"],"pids":null,"dateOfCollection":null,"lastUpdateTimeStamp":null,"indicators":{"citationImpact":{"citationCount":0.0,"influence":2.2251732E-9,"popularity":2.742429E-10,"impulse":0.0,"citationClass":"C5","influenceClass":"C5","impulseClass":"C5","popularityClass":"C5"}},"projects":null,"organizations":null,"communities":null,"collectedFrom":[{"key":"openaire____::3795d6478e30e2c9f787d427ff160944","value":"Lunaris"}],"instances":[{"license":"http://open.canada.ca/en/open-government-licence-canada","accessRight":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/","openAccessRoute":null},"type":"Dataset","urls":["https://open.canada.ca/data/en/dataset/4fab0887-7ded-55a9-a377-5ff1ef715f87"],"publicationDate":"2005-12-21","refereed":"nonPeerReviewed","hostedBy":{"key":"openaire____::3795d6478e30e2c9f787d427ff160944","value":"Lunaris"},"collectedFrom":{"key":"openaire____::3795d6478e30e2c9f787d427ff160944","value":"Lunaris"}}],"links":null,"otherTitles":["Images composites SPOT/VEGETATION du Canada, à résolution de 1 km, sur 10 jours, pour les saisons de croissance-2005-12-21"],"inDiamondJournal":null,"green":null,"isGreen":null,"isInDiamondJournal":null}]}