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AWE-GEN-2d downscaled climate simulations for Omo-Turkana and Zambezi river basins
(2020)AWE-GEN-2d downscaled climate simulations generated for the DAFNE project Refer to the README.txt for data access and description.Dataset -
SHAPE-ID Literature Review dataset: subject co-occurrence matrix
(2020)Background and methodology: The subject co-occurrence matrix represents the pairs of All Science Journal Classification (ASJC) disciplines that co-occur in journals represented in the SHAPE-ID Literature Review dataset, prepared for the purposes of quantitative analysis. We take disciplinary affiliations of journals as a proxy of disciplinary characteristics of the journal articles in the Literature Review dataset, mindful of the fact ...Dataset -
SHAPE-ID Literature Review query strings for Web of Science and Scopus
(2020)Background and methodology:The document contains query strings which were used to generate bibliographic datasets in Scopus and Web of Science (WoS) databases for the qualitative and quantitative literature review in the framework of the SHAPE-ID project. Given that WoS and Scopus offer homologous search and filtering functionalities, same method was used to query both databases. The method consisted in four steps, each consisting of ...Dataset -
SHAPE-ID Literature Review dataset: journal occurrences with ASJC codes
(2020)Background and methodology: The dataset consists of a list of 2202 journal titles represented in the SHAPE-ID Literature Review bibliography, prepared for the purposes of quantitative analysis. The list of journals is based on 3955 journal articles in the bibliography dataset that had an International Standard Serial Number (ISSN). To each journal title the project team attributed: - a weight factor based on how many articles from the ...Dataset -
In-situ measurements in steep bedrock permafrost in an Alpine environment on the Matterhorn Hörnligrat, Zermatt Switzerland; 2008-2019
(2020)The data presented is a unique ten+ year data record obtained from in-situ measurements in steep bedrock permafrost in an Alpine environment on the Matterhorn Hörnligrat, Zermatt, Switzerland at 3500 m a.s.l. during the time period 2008-2019 by the PermaSense project. This data set constitutes the longest, densest and most diverse data record in the history of mountain permafrost research worldwide with 17 different sensor types used at ...Dataset -
Analyse einer Umfrage über Ökosystemleistungen des Dauergraslands bei Schweizer Stakeholdern
(2020)Das Dauergrasland und seine Ökosystemleistungen (ÖSL) spielen in der Schweiz eine wichtige Rolle. Nutzungsintensivierungen, Nutzungsaufgabe in Grenzertragsflächen und Umwandlung der Graslandfläche in andere Nutzflächen verändern und bedrohen dieses bedeutende Ökosystem. Eine Analyse der Umfrage, welche das Projekt ServiceGrass bei Stakeholdern des Schweizer Graslands durchführte, soll deren Einschätzung und Einstellung gegenüber ÖSL des ...Dataset -
Ammoniakemissionen am Forschungsstandort Früebüel: Einfluss der Landwirtschaft?
(2020)Site: Früebüel ( CH-FRU, canton Zug, Switzerland) is situated on the Walchwil mountain, north-east of Lake Zug. Adjacent to the experimental area lies a conservation area with a raised bog. Früebüel is part of the ETH research station.; Longitude (WGS 84): 8°32'16.0" E; Latitude (WGS 84): 47°06'57.0" N; Altitude (m.a.s.l.): 982; Land cover (IGBP land classification): Grassland; Soil type: Gleysol (Roth K (2006) Bodenkartierung und ...Dataset -
Ammoniakemissionen am Forschungsstandort Früebüel: Einfluss der Landwirtschaft?
(2020)Site: Früebüel ( CH-FRU, canton Zug, Switzerland) is situated on the Walchwil mountain, north-east of Lake Zug. Adjacent to the experimental area lies a conservation area with a raised bog. Früebüel is part of the ETH research station.; Longitude (WGS 84): 8°32'16.0" E; Latitude (WGS 84): 47°06'57.0" N; Altitude (m.a.s.l.): 982; Land cover (IGBP land classification): Grassland; Soil type: Gleysol (Roth K (2006) Bodenkartierung und ...Dataset -
Process patents
(2019)The dataset contains the outcome of a large classification exercise. It contains patent filings at the European Patent Office and the United States Patent and Trademark Office and its corresponding "process shares" which is calculated with different methods. The process share indicates to which degree a patent is a process patent rather than a product patent. The shares have been calculated based on the classification of patent claims ...Dataset