ALBERT

Description: DE: Dieser Datensatz besteht aus den Transkripten von vier Fokusgruppeninterviews der Migrantenwahlstudie. Ziel des Projektes war es, für die Bundestagswahl 2017 die erste deutsche Wahlstudie unter deutschen Staatsbürger/innen mit Migrationshintergrund durchzuführen, d.h. unter solchen Personen, die entweder selbst nach Deutschland immigriert sind oder die mindestens einen Elternteil mit eigener Migrationserfahrung haben. Die Migrantenwahlstudie umfasst eine qualitative und eine quantitative Phase. Ziel der ersten qualitativen Phase (Oktober 2016 bis Juli 2017) war der explorative Zugang zur Themen- und Kandidatenorientierung von Migrant/innen, um die Ergebnisse für eine Publikation sowie die Fragebogenentwicklung der quantitativen Phase zu nutzen: Welche Themenfelder werden als wichtig erachtet? Welche Vorstellung von Links-Rechts gibt es? Welche Kandidateneigenschaften sind besonders relevant? Wie stark ist die Bindung an das Herkunftsland? Als Methode haben wir dabei auf Gruppendiskussionen mit Russlanddeutschen zurückgegriffen, die in Duisburg und Köln durchgeführt wurden. Dabei haben wir mit etwa 5-6 Teilnehmer/innen jeweils knapp zwei Stunden lang diskutiert. Die Forschungsdaten der quantitativen Phase wurden beim Forschungsdatenzentrum GESIS archiviert. EN: This dataset is composed of the transcripts of four focus group interviews for the Immigrant German Election Study. The project aims to conduct the first Immigrant German Election Study for the federal election in 2017, targeting German citizens with an immigrant background, i.e. people who either migrated to Germany themselves (first generation) or have at least one parent who was born in another country (second generation). The Immigrant German Election Study encompasses a qualitative and a quantitative phase. The first qualitative stage of the project (October 2016 until July 2017) explored the issue and candidate orientations of migrants. The results were used for a publication as well as for the development of the questionnaire for the quantitative stage. The core questions are: Which political issues are classified as important to all Germans/all migrants from the same group? What political issues do Germans of immigrant origin perceive as "left" and "right"? What are the identity contents that Germans of migrant origin associate with being German? We used focus group interviews as the research method in the Duisburg/Cologne area that consisted of 5-6 participants each and lasted for about 90 minutes.The research data originating from the quantitative phase have been archived at GESIS Data Archive.

Description: The file includes both field measured and satellite derived high resolution LAI data obtained over the Honghe farm and Hailun site in northeastern China. The Honghe farm (centered at 47°39′N, 133°31′E) is located in the east of the Heilongjiang province, northeast China. Five plots in 400 m × 600 m were selected in the Honghe farm in 2012 and 2013. Within each plot, about 50 - 60 elementary sampling units (ESUs) about 20 m ×20 m in size were selected in different weeks with a moving sampling strategy to avoid the sampling disturbance. Field LAI measurements were performed weekly from June 11 to September 17, 2012, and from June 22 to August 27, 2013. All ESU measurements made with LAI-2200 within a plot were averaged to represent the plot LAI. The Hailun site (47°24′- 47°26′N, 126°47′- 126°51′E) is located in the western part of the Heilongjiang province. The main crop types are maize, soybean, and sorghum. Five crop plots in 100 m × 500 m were chosen for continuous LAI measurements. The plots cover an areas of about 30 km2 and an elevation of approximately 200-240 m above sea level with quite homogeneous surroundings. Three representative ESUs of approximately 20 m × 20 m were selected in each plot. Field LAI measurements were continuously carried out with LAI-2200 weekly at each plot from June 20 to September 22, 2016. The high-resolution LAI data were estimated with a look-up table (LUT) method from the HJ-1, Landsat 7 ETM+, and Sentinel-2A MSI reflectance data. The high resolution LAI data are consistent with the field measured LAI characterized by a slope close to the 1:1 line. The statistical results show R2 of 0.81 and 0.86, and RMSE of 0.62 and 0.70 for paddy rice and broadleaf crops, respectively. The scale factor is 0.01.

Description: This dataset contains the n-alkane data from a sedimentary record of an alpine lake (Laguna de Río Seco -LdRS-) located at 3020 masl in Sierra Nevada (southern Spain). This dataset includes the concentrations of the n-alkanes ranging from the C19 to the C35 chain lengths and the hydrogen isotopic composition of the C23, C25, C27, C29, C31, and C33 ones. Different indices have also been calculated to summarise 1) the n-alkane chain lengths: the average chain length (ACL), the carbon preference index (CPI), and the portion aquatic index (Paq), and 2) the hydrogen isotopic composition of the terrestrial n-alkanes (δDwax=δDC29 + δDC31), aquatic n-alkanes (δDaq= δDC23 + δDC25), and their difference ΔDwax-aq(δDwax-δDaq). The n-alkanes were analysed using a GC-FID (Shimadzu 2010) and a GC-MS (Shimadzu QP2010-Plus Mass Spectrometer interfaced with a Shimadzu 2010 GC). Hydrogen isotopic composition of sedimentary n-alkanes was measured with GC-IRMS using a GC-thermal conversion-IRMS system consisting of a HP 6890 GC connected to a Finnigan MAT delta Plus XL mass spectrometer.