_:genid2d79db82e9d34147b7aaa054f35b4d1a922db0 . _:genid2d79db82e9d34147b7aaa054f35b4d1a922db0 "doi:10.7295/W9CIL14676" . _:genid2d79db82e9d34147b7aaa054f35b4d1a922db0 "The thylakoids of the vegetative cells of the filamentous cyanobacteria, Oscillatoria tenuis, are capable of oxygen-evolving photosynthesis. Freeze-fracture replicas of the vegetative cells revealed the structure of the thylakoids. \n\nThe process of freeze-fracture splits memebranes along their hydrophobic interior revealing two complementary fracture faces designated P-face and E-face. Each fracture faces has a population of particles which represent intramembrane proteins or protein complexes. \n\nOscillatoria cultures were maintained on agar plates. Cells were collected and suspended in 10 mL dH2O, spun at 2,000 g for 10 min in a clinical centrifuge, resuspended in 5 mL dH2O. Added 5 mL 70% glycerol over 1 hr with continuous stirring, spun at 2,000 g for 10 min in a clinical centrifuge. Pellets were placed on copper support discs, frozen in liquid Freon 12 and stored under liquid nitrogen. Replicas were prepared on a Blazers BA 360 freeze-etch unit and examined in a JEOL TEM 100C at 50,000X magnification." . _:genid2d79db82e9d34147b7aaa054f35b4d1a922db0 "Thomas Giddings (2011) CIL:14676, Oscillatoria tenuis. CIL. Dataset" . _:genid2d79db82e9d34147b7aaa054f35b4d1a922db0 . _:genid2d79db82e9d34147b7aaa054f35b4d1a922db0 "2011-04-18"^^ . _:genid2d79db82e9d34147b7aaa054f35b4d1a922db0 "CIL" . _:genid2d79db82e9d34147b7aaa054f35b4d1a922db0 _:genid2d79db82e9d34147b7aaa054f35b4d1a922db1 . _:genid2d79db82e9d34147b7aaa054f35b4d1a922db1 . _:genid2d79db82e9d34147b7aaa054f35b4d1a922db1 . _:genid2db9bd3139ac4245ffb938a39f3263a1f72db0 . _:genid2db9bd3139ac4245ffb938a39f3263a1f72db0 "2019-03-29T19:36:32+00:00"^^ . _:genid2db9bd3139ac4245ffb938a39f3263a1f72db0 _:genid2db9bd3139ac4245ffb938a39f3263a1f72db3 . _:genid2db9bd3139ac4245ffb938a39f3263a1f72db0 "ETH_2001_AgSE-SEC_v01_M" . _:genid2db9bd3139ac4245ffb938a39f3263a1f72db0 "Abstract\r\n---------------------------\r\n\r\nPopulation as a producer and consumer is closely related with agriculture. On the one hand, population affects production in general and agricultural outputs in particular by furnishing the required labour. On the other hand, the size of a population and its anticipated growth is the main factor determining food consumption requirements. Regarding the balance between population and consumption, if more people are to be fed than the food or services produced, saving and capital investments will be negatively affected. Moreover, population growth also negatively influences agriculture by putting pressure on the environment, such as water, fertility of land, etc. Population size further influence productivity mainly through the diversification and specialization of the economy, the size of the market, and the importance of foreign trade. \n\nNot only the size, but also the socio-economic characteristics of the population of the agricultural households are important to the agricultural production. Study of the nature of the agricultural sector of a country will not be complete without proper understanding of the socio-economic characteristics of the population engaged in it. The population statistics of the agricultural households can be used to describe the characteristics and distribution of the population in space, its density and degree of concentration, the fluctuation in its rate of growth and the movement from one area to another. Data on population and agriculture will also help in finding out what percentage of resources will be needed at a particular time for the meeting of basic needs of the people and what amount of socially useful and productive labour is available in the country, regardless of whether labour or capital intensive techniques will suit the nation's economy. \n\nGenerally, an analysis of statistical data on population residing in agricultural households is important to assess the size, structure and characteristics of the human resources involved in and supported by the sector. Such kind of information will provide the human background for planners and policy makers in their attempt to formulate policies that helps to improve the sector's output as well as the living conditions of the rural population. \n\nCognizant of this fact, the 2001-2002 Ethiopian Agricultural Sample Enumeration has collected basic social and economic characteristics of the population in agricultural households in October 2001.\r\n\r\nGeographic coverage\r\n---------------------------\r\n\r\nThe 2001-2002 (1994 E.C) Agricultural Sample Enumeration was designed to cover the rural and urban parts of all districts (Weredas) in the country on a large-scale sample basis excluding the pastoralist areas of the Afar and Somali regional states.\r\n\r\nAnalysis unit\r\n---------------------------\r\n\r\n- Household\n- Household members / individuals\n- Holder\r\n\r\nUniverse\r\n---------------------------\r\n\r\nAgricultural households from the nationally sampled area. The population in agricultural households comprises of all persons residing in households with at least one agricultural holder, where a holder is defined as a person who exercises management and control over the operation of the agricultural holding such as land and livestock and makes the major decision regarding the utilization of the available resources.\r\n\r\nKind of data\r\n---------------------------\r\n\r\nCensus/enumeration data [cen]\r\n\r\nSampling procedure\r\n---------------------------\r\n\r\nSampling Frame\nThe list of enumeration areas for each wereda was compiled from the 1994 Ethiopian Population and Housing Census cartographic work and was used a frame for the selection of the Primary Sampling Units (PSU). The 1994 Population and Housing Census enumeration area maps of the region for the selected sample EA's were updated, and the EA boundaries and descriptions were further clarified to reflect the current physical situation. The sampling frame used for the selection of ultimate sampling units (agricultural households) was a fresh list of households, which was prepared by the enumerator assigned in the sampled EA's using a prescribed listing instruction at the beginning of the launching of the census enumeration.\n\nSample Design\nIn order to meet the objectives and requirements of the EASE, a stratified two-stage cluster sample design was used for the selection of ultimate sampling units. Thus, in the regions each wereda was treated as stratum for which major findings of the sample census are reported. The primary sampling units are the enumeration areas and the agricultural households are secondary (ultimate) sampling units. Finally, after the selection of the sample agricultural households, the various census forms were administered to all agricultural holders within the sampled agricultural households.\n\nFor the private peasant holdings in the rural areas a fixed number (25) of sample EA's in each wereda and 30 agricultural households in each EA were randomly selected (determined). In urban areas, weredas with urban EA's of less than or equal to 25, all the EA's were covered. However, for weredas with greater than 25 urban EA's, sample size of 25 EA's was selected. In each sampled urban EA, 30 agricultural households were randomly selected for the census. The sampled size determination in each wereda and thereby in each EA was based upon the required precision level of the major estimates and the cost consideration. The pilot survey and the previous year annual agricultural sample survey results were used to determine the required sample sizes per wereda.\n\nSample Selection of Primary Sampling Units\nWithin each wereda (stratum) in the region, the selection of EAs was carried out using probability proportional to size systematic sampling. In this case, size being total number of agricultural households in each EA obtained from the listing exercise undertaken in the 1994 Ethiopian Population and Housing Census of the region.\n\nListing of Households and Selection of Agricultural Households\nIn each sampled enumeration area of the region, a complete and fresh listing of households was carried out by canvassing the households in the EA. After a complete listing of the households and screening of the agricultural households during the listing operation in the selected EA, the agricultural households were serially numbered. From this list, a total of 30 agricultural households were selected systematically using a random start from the pre-assigned column table of random numbers. The sampling interval for each EA was determined by dividing the total number of agricultural households by 30. For crop cutting exercise purposes (rural domain) a total of 20 agricultural households were randomly selected from the 30 sampled agricultural households. The systematical random sampling technique was employed in this case, because its application is simple and flexible, and it can easily yield a proportionate sample.\r\n\r\nMode of data collection\r\n---------------------------\r\n\r\nFace-to-face [f2f]\r\n\r\nResearch instrument\r\n---------------------------\r\n\r\nThe rural census questionnaires/forms included:-\n- Forms 94/0 and 94/1 that are used to record all households in the enumeration area, identify the agricultural households and select the units to be covered by the census. \n- Form 94/2 is developed to list all the members of the sampled agricultural households and record the demographic and economic characteristics of each of the members.\n- Forms 94/3A, 94/3B, 94/3C and 94/3D are prepared to enumerate crop data through interview and objective measurement. \n- Form 94/5 is designed to record crop area data via the physical or objective measurement of crop fields.\n- Form 94/6 is used to list all the fields under crop and select a crop field for each type of crop randomly for crop cutting exercise.\n- Forms 94/7A, 94/7B, and 94/7C are developed for recording yield data on cereals, oil seeds, pulses, vegetables root crops and permanent crops by weighing their yields obtained from sub-plots and/or trees selected for crop-cuttings.\n- Form 94/8 is prepared to enumerate livestock, poultry and beehives data by type, age, sex and purpose including products through interview (subjective approach).\n- Forms 94/9, 94/10 and 94/11 are used to collect data on crop and livestock product usage; miscellaneous items and farm tools, implements, draught animals and storage facilities, in that order, by interviewing the sample holders.\n- The last but not least forms are the \"Belg\" season questionnaires identified as: - 94/12A and 94/12B that are used to record data on farm management practices of the \"Belg\" season.\n- Form 94/4 was the questionnaire used for collecting data on crop production forecast for 2001-2002 and the data collected using this form was published in December 2001 subjectively, while 94/12C is for recording \"Belg\" season crop area through objective measurement and volume of production through interview approach.\n\nOn the other hand, the census questionnaires/forms used in the urban areas include:-\n- Form U-94/1 which used to record all households in the EA, identify the agricultural households and select the units to be covered by the census.\n- Form U-94/2 is developed to list all the members of the sampled agricultural household and record the demographic and economic characteristics of each of the members. \n- From U-94/3 is prepared to enumerate crop data through interview method.\n- Form U-94/4 is prepared to enumerate livestock, poultry and beehives data by type, sex, age and purpose including products through interview (subjective approach).\n- Form U-94/5 is used to collect data on crop and livestock usage.\r\n\r\nCleaning operations\r\n---------------------------\r\n\r\nEditing, Coding and Verification: \nIn the 2001-2002 Ethiopian Agricultural Sample Enumeration (EASE), the filled-in forms that were retrieved from 47 Branch Statistical Offices were primarily received and systematically registered at the documentation unit of the CSA head quarters in Addis Ababa. Before launching the actual editing and coding activities, the Natural Resources and Agricultural Statistics Department staff gave adequate training to the 157 editors and coders. These editors and coders carried out the manual editing, coding and verification of the filled-in EASE questionnaires in two shifts. At the outset, the editing and coding activities for the filled-in forms on area and agricultural practices took place; this was followed up by the editing and coding of the forms on the production of temporary crops (cereals, pulses, oil seeds, vegetables and root crops), livestock, farm implements, permanent crops, \"Belg\" and miscellaneous questionnaires region by region. For the filled-in forms on area and agricultural practices, verification was carried out on 100% basis for the first five weeks from the launching of the activity and then considering the quality performance of editor-coders the activity was dropped to 66% of the forms gradually. On the other hand, the verification activity has been carried out on 100% basis for the filled-in forms on production of the temporary and permanent crops, livestock, farm implements and all other completed forms. For the total country, the editing, coding and verification of the filled-in forms in general took about 330.6 working days. That is, the editing, coding and verification of the filled-in forms for area, agricultural practice, the production of the temporary and permanent crops, and livestock took about 198.5 working days, while that of the filled-in forms on farm implements, demographic characteristics, Belg season and the urban forms took around 132.1 working days. \n\nData Entry, Cleaning and Tabulation: \nAbout 144 data encoders were assigned to undertake the data entry activity of 2001/02 EASE and it has been carried out on two-shift basis. Before the starting of the data entry operation data encoders were trained for about 5 days using computer programs developed by the Data Processing Department staff. The Programmers prepared the data entry programs using CENTRY, which is a data entry module of IMPS (Integrated Microcomputer Processing System). The data entry exercise has been carried out using 76 personal computers (PC's). Like that of the manual editing and coding activity, the filled-in forms on area and agricultural practices were entered first and this was followed by entry of the filled-in forms on the production of temporary crops, livestock, farm implements, permanent crops, \"Belg\" and miscellaneous questionnaires region by region till all the census data entry operations are completed. In order to ensure the quality of the data entry work, verification exercise was carried out. The entry of the filled-in forms on area and agricultural practices were verified on 100 % basis. Then the verification exercise was dropped to 66 % from the 6th week of the launching of the operation and was further reduced to 50% from the 10th week onwards by observing and assessing the magnitude of the percentage of errors. Later on verification process was carried out on 100% basis for the filled-in forms on the production of temporary and permanent crops, livestock, farm implements and all other completed forms. The verification activity was carried out through the process of re-entering the data. For the total country, the whole data entry process of the filled-in forms on area, agricultural practice, the production of the temporary and permanent crops, and livestock took around 253.1 working days, while that of the filled-in forms on farm implements, demographic characteristics, Belg season and the urban forms took about 257.9 working days. Data entered into the computer needs to be checked for completeness, consistency and validity. For this purpose computer edit programs were prepared by programmers using CONCOR, which is the editing module of IMPS. Using print-outs from these programs and referring to the filled-in census forms, corrections were made by nine trained manual data cleaning technicians. Moreover, nine other data-cleaning computer operators were involved in making the actual corrections of the data on the computer. Additionally, an intermediate set of instructions or programs were made available and applied on the data to prepare information suitable for tabulation. These programs were prepared using CSPro and IMPS software. Like IMPS Software, CSPro is used as a tool for entering, editing and tabulating data. CSA used the CSPro software for data editing and calculation of CVs. Data made ready for tabulation through the process of cleaning and intermediate programs was finally used to generate the required tables. This was done using tabulation programs developed by the senior programmers of the Data processing Department. The CENTS software, a tabulation component of IMPS, was used in producing the 2001-2002 EASE results.\r\n\r\nSampling error estimates\r\n---------------------------\r\n\r\nEstimated procedure of parameters of interest like total, yield and ratio and their sampling errors is presented in Appendix I of the reports which are attached with this metadata. Standard errors and coefficients of variations of estimates for selected variables are also given as an annex at the end of each report." . _:genid2db9bd3139ac4245ffb938a39f3263a1f72db0 "Agricultural Sample Enumeration, Socio-Economic Characteristics 2001-2002 (1994 E.C) - Ethiopia" . _:genid2db9bd3139ac4245ffb938a39f3263a1f72db0 . _:genid2db9bd3139ac4245ffb938a39f3263a1f72db0 "Agriculture" . _:genid2db9bd3139ac4245ffb938a39f3263a1f72db0 "Land" . _:genid2db9bd3139ac4245ffb938a39f3263a1f72db0 "Size" . _:genid2db9bd3139ac4245ffb938a39f3263a1f72db0 _:genid2db9bd3139ac4245ffb938a39f3263a1f72db2 . _:genid2db9bd3139ac4245ffb938a39f3263a1f72db0 _:genid2db9bd3139ac4245ffb938a39f3263a1f72db1 . _:genid2db9bd3139ac4245ffb938a39f3263a1f72db0 "2001-2002" . _:genid2db9bd3139ac4245ffb938a39f3263a1f72db0 "2013-12-12T19:33:30+00:00"^^ . _:genid2db9bd3139ac4245ffb938a39f3263a1f72db0 . _:genid2db9bd3139ac4245ffb938a39f3263a1f72db1 . _:genid2db9bd3139ac4245ffb938a39f3263a1f72db1 "Central Statistical Agency" . _:genid2db9bd3139ac4245ffb938a39f3263a1f72db2 . _:genid2db9bd3139ac4245ffb938a39f3263a1f72db2 "http://catalog.ihsn.org/" . _:genid2db9bd3139ac4245ffb938a39f3263a1f72db3 . _:genid2db9bd3139ac4245ffb938a39f3263a1f72db3 "Ethiopia" . _:genid2d2b5d3e0d8e20478389ca2a049b85edcc2db0 . _:genid2d2b5d3e0d8e20478389ca2a049b85edcc2db0 "doi:10.7295/W9CIL13699" . _:genid2d2b5d3e0d8e20478389ca2a049b85edcc2db0 "This is one of a group of four images in Figure S5 in Apaja et al., JCB 2010, that support the conclusion that the WT vasopressin type2 receptor (V2R) and the V2R W164S mutant (that causes nephrogenic diabetes insipidus) have different post-endocytic targeting. The sorting of endocytosed myc-tagged WT and W164S V2R was determined by indirect immunolabeling of internalized receptors in transiently transfected COS7 cells. The WT and temperature (26 degrees C) rescued mutant receptors were labelled with anti-myc Ab in live cells (1h) and then chased in Ab-free medium (1h, 37 degrees C) before indirect immunolabeling. Endosomes were labeled with 10 \u00B5g/ml Alexa Fluor 594\u2013transferrin uptake for 1 h at 37\u00B0C. Fluorescence micrographs were obtained by a microscope (LSM510 or LSM710; Carl Zeiss, Inc.) equipped with a Plan-Apochromat 63\u00D7/NA 1.4 objective in multitrack mode. This single optical section shows that the internalized V2R W164S mutant is not found in endosomes, the normal location of endocytosed WT V2R. Companion images show that the mutant V2R, however, is found in lysosomes." . _:genid2d2b5d3e0d8e20478389ca2a049b85edcc2db0 "Pirjo M. Apaja, Haijin Xu, Gergely L. Lukacs (2011) CIL:13699, Chlorocebus aethiops. CIL. Dataset" . _:genid2d2b5d3e0d8e20478389ca2a049b85edcc2db0 . _:genid2d2b5d3e0d8e20478389ca2a049b85edcc2db0 "2011-04-30"^^ . _:genid2d2b5d3e0d8e20478389ca2a049b85edcc2db0 "CIL" . _:genid2d2b5d3e0d8e20478389ca2a049b85edcc2db0 _:genid2d2b5d3e0d8e20478389ca2a049b85edcc2db1 . _:genid2d2b5d3e0d8e20478389ca2a049b85edcc2db1 . _:genid2d2b5d3e0d8e20478389ca2a049b85edcc2db1 . _:genid2dcd0ad78b466844cc88de545ed8d503272db0 . _:genid2dcd0ad78b466844cc88de545ed8d503272db0 "doi:10.7295/W9CIL24815" . _:genid2dcd0ad78b466844cc88de545ed8d503272db0 "Intracellular localization of GFP-GOLPH3 in BY4742 sac1\u2206 vps74\u2206. SAC1 encodes an integral membrane phosphoinositide phosphatase that is localized to the ER and Golgi. In the sac1\u2206 vps74\u2206 mutant, GFP-GOLPH3 localizes, in addition to the Golgi apparatus, to nuclear ER and cortical ER and/or PM. Thus, correct Golgi localization of Vps74 (see CIL# 24812 for GFP-Vps74 in sac1\u2206 vps74\u2206 mutant) and GOLPH3 requires synthesis of PtdIns4P in the Golgi by Pik1-Frq1 and maintenance of low PtdIns4P levels in non-Golgi membranes by the Sac1 lipid phosphatase. Cells grown in liquid medium were mounted in growth medium and 3D image stacks were collected at 0.4-\u00B5m z increments on a DeltaVision workstation (Applied Precision) based on an inverted microscope (IX-70; Olympus) using a 100\u00D7 NA 1.4 oil immersion lens. Images were captured at 23C with a 12-bit CCD camera (CoolSnap HQ; Photometrics) and deconvolved using the iterative-constrained algorithm (Agard, 1984) and the measured point spread function. One image from the approximate center of z stack is shown in Fig1B GOLPH3/sac1\u2206 panel in J Cell Biol. 187: 967-975. 2009. Images in Fig 1B include CIL#s 24815, 24812, 24813." . _:genid2dcd0ad78b466844cc88de545ed8d503272db0 "Christopher S. Wood, Karl R. Schmitz, Nicholas J. Bessman, Thanuja Gangi Setty, Kathryn M. Ferguson, Christopher G. Burd (2011) CIL:24815, Saccharomyces cerevisiae S288c. CIL. Dataset" . _:genid2dcd0ad78b466844cc88de545ed8d503272db0 . _:genid2dcd0ad78b466844cc88de545ed8d503272db0 "2011-03-29"^^ . _:genid2dcd0ad78b466844cc88de545ed8d503272db0 "CIL" . _:genid2dcd0ad78b466844cc88de545ed8d503272db0 _:genid2dcd0ad78b466844cc88de545ed8d503272db1 . _:genid2dcd0ad78b466844cc88de545ed8d503272db1 . _:genid2dcd0ad78b466844cc88de545ed8d503272db1 . _:genid2d2d2e55fb39144118a3ea64df5d1e6ec22db0 . _:genid2d2d2e55fb39144118a3ea64df5d1e6ec22db0 "doi:10.7295/W9CIL40025" . _:genid2d2d2e55fb39144118a3ea64df5d1e6ec22db0 "Intracellular dye injections of protoplasmic astrocytes from the CA1 region of hippocampus of 3 week old rat reveals highly ramified spongiform processes that span territories with minimal overlap. Astrocytes were filled with Alexa 488 (green) and Alexa 568 (red). Optical sections were generated with a single photon confocal microscope and are presented here as a maximum projection image. This image has been downsampled from the raw data image which can be accessed using the link provided to the Cell Centered Database." . _:genid2d2d2e55fb39144118a3ea64df5d1e6ec22db0 "Eric A. Bushong, Maryann E. Martone, Mark H. Ellisman (2012) CIL:40025, Rattus, astrocyte, astrocyte of the hippocampus. CIL. Dataset" . _:genid2d2d2e55fb39144118a3ea64df5d1e6ec22db0 . _:genid2d2d2e55fb39144118a3ea64df5d1e6ec22db0 "2012-03-18"^^ . _:genid2d2d2e55fb39144118a3ea64df5d1e6ec22db0 "CIL" . _:genid2d2d2e55fb39144118a3ea64df5d1e6ec22db0 _:genid2d2d2e55fb39144118a3ea64df5d1e6ec22db1 . _:genid2d2d2e55fb39144118a3ea64df5d1e6ec22db1 . _:genid2d2d2e55fb39144118a3ea64df5d1e6ec22db1 . _:genid2d5f0a3262c8ef4d15a47e8da5f1c3f41f2db0 . _:genid2d5f0a3262c8ef4d15a47e8da5f1c3f41f2db0 _:genid2d5f0a3262c8ef4d15a47e8da5f1c3f41f2db1 . _:genid2d5f0a3262c8ef4d15a47e8da5f1c3f41f2db1 . _:genid2d5f0a3262c8ef4d15a47e8da5f1c3f41f2db1 "0"^^ . _:genid2d5f0a3262c8ef4d15a47e8da5f1c3f41f2db1 _:genid2d5f0a3262c8ef4d15a47e8da5f1c3f41f2db2 . _:genid2d5f0a3262c8ef4d15a47e8da5f1c3f41f2db1 _:genid2d5f0a3262c8ef4d15a47e8da5f1c3f41f2db4 . _:genid2d5f0a3262c8ef4d15a47e8da5f1c3f41f2db1 "How has Analog Devices Operating Expenses: Research And Development changed historically?" . _:genid2d5f0a3262c8ef4d15a47e8da5f1c3f41f2db1 "How has Analog Devices Operating Expenses: Research And Development changed historically?" . _:genid2d5f0a3262c8ef4d15a47e8da5f1c3f41f2db1 "1"^^ . _:genid2d5f0a3262c8ef4d15a47e8da5f1c3f41f2db1 "2019-05-26"^^ . _:genid2d5f0a3262c8ef4d15a47e8da5f1c3f41f2db2 . _:genid2d5f0a3262c8ef4d15a47e8da5f1c3f41f2db2 "0"^^ . _:genid2d5f0a3262c8ef4d15a47e8da5f1c3f41f2db2 _:genid2d5f0a3262c8ef4d15a47e8da5f1c3f41f2db3 . _:genid2d5f0a3262c8ef4d15a47e8da5f1c3f41f2db2 "Analog Devices Operating Expenses: Research And Development increased from $560 Mil in 2014 to $1.17 Bil in 2018." . _:genid2d5f0a3262c8ef4d15a47e8da5f1c3f41f2db2 "2019-05-26"^^ . _:genid2d5f0a3262c8ef4d15a47e8da5f1c3f41f2db2 . _:genid2d5f0a3262c8ef4d15a47e8da5f1c3f41f2db3 . _:genid2d5f0a3262c8ef4d15a47e8da5f1c3f41f2db3 "Trefis" . _:genid2d5f0a3262c8ef4d15a47e8da5f1c3f41f2db4 . _:genid2d5f0a3262c8ef4d15a47e8da5f1c3f41f2db4 "Trefis" . _:genid2d0bcbea1dbc834ed7a035956d385030732db0 . _:genid2d0bcbea1dbc834ed7a035956d385030732db0 _:genid2d0bcbea1dbc834ed7a035956d385030732db1 . _:genid2d0bcbea1dbc834ed7a035956d385030732db1 . _:genid2d0bcbea1dbc834ed7a035956d385030732db1 "0"^^ . _:genid2d0bcbea1dbc834ed7a035956d385030732db1 _:genid2d0bcbea1dbc834ed7a035956d385030732db2 . _:genid2d0bcbea1dbc834ed7a035956d385030732db1 _:genid2d0bcbea1dbc834ed7a035956d385030732db4 . _:genid2d0bcbea1dbc834ed7a035956d385030732db1 "What is the forecast for Analog Devices Operating Expenses: Research And Development?" . _:genid2d0bcbea1dbc834ed7a035956d385030732db1 "What is the forecast for Analog Devices Operating Expenses: Research And Development?" . _:genid2d0bcbea1dbc834ed7a035956d385030732db1 "1"^^ . _:genid2d0bcbea1dbc834ed7a035956d385030732db1 "2019-05-26"^^ . _:genid2d0bcbea1dbc834ed7a035956d385030732db2 . _:genid2d0bcbea1dbc834ed7a035956d385030732db2 "0"^^ . _:genid2d0bcbea1dbc834ed7a035956d385030732db2 _:genid2d0bcbea1dbc834ed7a035956d385030732db3 . _:genid2d0bcbea1dbc834ed7a035956d385030732db2 "If the current trends continue, Analog Devices Operating Expenses: Research And Development is expected to be $1.44 Bil by 2020." . _:genid2d0bcbea1dbc834ed7a035956d385030732db2 "2019-05-26"^^ . _:genid2d0bcbea1dbc834ed7a035956d385030732db2 . _:genid2d0bcbea1dbc834ed7a035956d385030732db3 . _:genid2d0bcbea1dbc834ed7a035956d385030732db3 "Trefis" . _:genid2d0bcbea1dbc834ed7a035956d385030732db4 . _:genid2d0bcbea1dbc834ed7a035956d385030732db4 "Trefis" . _:genid2d0be1c9f04f274e35978c3305e07e99d82db0 . _:genid2d0be1c9f04f274e35978c3305e07e99d82db0 "Analog Devices (ADI) Operating Expenses: Research And Development historical trends and forecasts" . _:genid2d0be1c9f04f274e35978c3305e07e99d82db0 "Analog Devices (ADI) Operating Expenses: Research And Development" . _:genid2d0be1c9f04f274e35978c3305e07e99d82db0 "Analog Devices" . _:genid2d0be1c9f04f274e35978c3305e07e99d82db0 "ADI" . _:genid2d0be1c9f04f274e35978c3305e07e99d82db0 "Operating Expenses: Research And Development" . _:genid2d0be1c9f04f274e35978c3305e07e99d82db0 "Annual Data" . _:genid2d0be1c9f04f274e35978c3305e07e99d82db0 _:genid2d0be1c9f04f274e35978c3305e07e99d82db2 . _:genid2d0be1c9f04f274e35978c3305e07e99d82db0 _:genid2d0be1c9f04f274e35978c3305e07e99d82db1 . _:genid2d0be1c9f04f274e35978c3305e07e99d82db0 "A-01-01/2020-12-31" . _:genid2d0be1c9f04f274e35978c3305e07e99d82db0 . _:genid2d0be1c9f04f274e35978c3305e07e99d82db0 "Operating Expenses: Research And Development" . _:genid2d0be1c9f04f274e35978c3305e07e99d82db1 . _:genid2d0be1c9f04f274e35978c3305e07e99d82db1 "Trefis" . _:genid2d0be1c9f04f274e35978c3305e07e99d82db1 . _:genid2d0be1c9f04f274e35978c3305e07e99d82db2 . _:genid2d0be1c9f04f274e35978c3305e07e99d82db2 "Analog Devices Historical & Forecast Data Dashboards" . _:genid2d0be1c9f04f274e35978c3305e07e99d82db2 . _:genid2d37645eb4c42944efbdc939a8618db5f42db0 . _:genid2d37645eb4c42944efbdc939a8618db5f42db0 "Global Economic Monitor" . _:genid2d37645eb4c42944efbdc939a8618db5f42db0 "World Bank" . _:genid2d37645eb4c42944efbdc939a8618db5f42db0 _:genid2d37645eb4c42944efbdc939a8618db5f42db1 . _:genid2d37645eb4c42944efbdc939a8618db5f42db1 . _:genid2d37645eb4c42944efbdc939a8618db5f42db1 "ZIP" . _:genid2d37645eb4c42944efbdc939a8618db5f42db1 . _:genid2d89dde11be83546d28aabd1c0e8574a7c2db0 . _:genid2d89dde11be83546d28aabd1c0e8574a7c2db0 "Global Financial Development" . _:genid2d89dde11be83546d28aabd1c0e8574a7c2db0 "World Bank" . _:genid2d89dde11be83546d28aabd1c0e8574a7c2db0 _:genid2d89dde11be83546d28aabd1c0e8574a7c2db1 . _:genid2d89dde11be83546d28aabd1c0e8574a7c2db0 _:genid2d89dde11be83546d28aabd1c0e8574a7c2db2 . _:genid2d89dde11be83546d28aabd1c0e8574a7c2db1 . _:genid2d89dde11be83546d28aabd1c0e8574a7c2db1 "EXCEL ZIP" . _:genid2d89dde11be83546d28aabd1c0e8574a7c2db1 . _:genid2d89dde11be83546d28aabd1c0e8574a7c2db2 . _:genid2d89dde11be83546d28aabd1c0e8574a7c2db2 "CSV ZIP" . _:genid2d89dde11be83546d28aabd1c0e8574a7c2db2 . _:genid2d2b0bf75ea84549fe94385b04940736e02db0 . _:genid2d2b0bf75ea84549fe94385b04940736e02db0 "World Integrated Trade Solution Trade Stats" . _:genid2d2b0bf75ea84549fe94385b04940736e02db0 "World Bank" . _:genid2d2b0bf75ea84549fe94385b04940736e02db0 _:genid2d2b0bf75ea84549fe94385b04940736e02db1 . _:genid2d2b0bf75ea84549fe94385b04940736e02db1 . _:genid2d2b0bf75ea84549fe94385b04940736e02db1 "CSV ZIP" . _:genid2d2b0bf75ea84549fe94385b04940736e02db1 . _:genid2daac18621490c4f39a9cbee27b94c2bab2db0 . _:genid2daac18621490c4f39a9cbee27b94c2bab2db0 _:genid2daac18621490c4f39a9cbee27b94c2bab2db1 . _:genid2daac18621490c4f39a9cbee27b94c2bab2db0 "Statista" . _:genid2daac18621490c4f39a9cbee27b94c2bab2db0 . _:genid2daac18621490c4f39a9cbee27b94c2bab2db1 . _:genid2daac18621490c4f39a9cbee27b94c2bab2db1 . _:genid2daac18621490c4f39a9cbee27b94c2bab2db2 . _:genid2daac18621490c4f39a9cbee27b94c2bab2db2 _:genid2daac18621490c4f39a9cbee27b94c2bab2db5 . _:genid2daac18621490c4f39a9cbee27b94c2bab2db2 "Deutschland" . _:genid2daac18621490c4f39a9cbee27b94c2bab2db2 "Diese Statistik zeigt das Ergebnis einer Umfrage in Deutschland zur H\u00E4ufigkeit des Ausgehens junger Menschen. Im Jahr 2017 gaben rund 35 Prozent der Befragten an, zweimal pro Woche auszugehen." . _:genid2daac18621490c4f39a9cbee27b94c2bab2db2 "H\u00E4ufigkeit des Ausgehens junger Menschen in Deutschland bis 2017" . _:genid2daac18621490c4f39a9cbee27b94c2bab2db2 "Party" . _:genid2daac18621490c4f39a9cbee27b94c2bab2db2 "Ausgehen" . _:genid2daac18621490c4f39a9cbee27b94c2bab2db2 "feiern" . _:genid2daac18621490c4f39a9cbee27b94c2bab2db2 "weggehen" . _:genid2daac18621490c4f39a9cbee27b94c2bab2db2 _:genid2daac18621490c4f39a9cbee27b94c2bab2db3 . _:genid2daac18621490c4f39a9cbee27b94c2bab2db2 "2010 bis 2017" . _:genid2daac18621490c4f39a9cbee27b94c2bab2db2 "False" . _:genid2daac18621490c4f39a9cbee27b94c2bab2db2 . _:genid2daac18621490c4f39a9cbee27b94c2bab2db3 . _:genid2daac18621490c4f39a9cbee27b94c2bab2db3 _:genid2daac18621490c4f39a9cbee27b94c2bab2db4 . _:genid2daac18621490c4f39a9cbee27b94c2bab2db3 "Statista" . _:genid2daac18621490c4f39a9cbee27b94c2bab2db3 . _:genid2daac18621490c4f39a9cbee27b94c2bab2db4 . _:genid2daac18621490c4f39a9cbee27b94c2bab2db4 . _:genid2daac18621490c4f39a9cbee27b94c2bab2db5 . _:genid2daac18621490c4f39a9cbee27b94c2bab2db5 "[data-paywallcontent]" . _:genid2daac18621490c4f39a9cbee27b94c2bab2db5 "False" . _:genid2d4dd787bea7a348be97ca4e4c5cf133422db0 . _:genid2d4dd787bea7a348be97ca4e4c5cf133422db0 _:genid2d4dd787bea7a348be97ca4e4c5cf133422db1 . _:genid2d4dd787bea7a348be97ca4e4c5cf133422db0 "Statista" . _:genid2d4dd787bea7a348be97ca4e4c5cf133422db0 . _:genid2d4dd787bea7a348be97ca4e4c5cf133422db1 . _:genid2d4dd787bea7a348be97ca4e4c5cf133422db1 . _:genid2d4dd787bea7a348be97ca4e4c5cf133422db2 . _:genid2d4dd787bea7a348be97ca4e4c5cf133422db2 _:genid2d4dd787bea7a348be97ca4e4c5cf133422db5 . _:genid2d4dd787bea7a348be97ca4e4c5cf133422db2 "\u00D6sterreich" . _:genid2d4dd787bea7a348be97ca4e4c5cf133422db2 "Die Statistik zeigt das Kreditvolumen der Bank Austria von 2010 bis 2018. Die Bank Austria entstand 1991 aus dem Zusammenschluss der Zentralsparkasse und Kommerzialbank mit der \u00D6sterreichischen L\u00E4nderbank. Die Universalbank ist seit November 2005 Mitglied der UniCredit, einer der gr\u00F6\u00DFten europ\u00E4ischen Bankengruppen. Im Jahr 2018 belief sich das Kreditvolumen der Bank Austria auf rund 62,6 Milliarden Euro." . _:genid2d4dd787bea7a348be97ca4e4c5cf133422db2 "Kreditvolumen der Bank Austria bis 2018" . _:genid2d4dd787bea7a348be97ca4e4c5cf133422db2 "\u00D6sterreich" . _:genid2d4dd787bea7a348be97ca4e4c5cf133422db2 "Kredite" . _:genid2d4dd787bea7a348be97ca4e4c5cf133422db2 "Banken" . _:genid2d4dd787bea7a348be97ca4e4c5cf133422db2 "Kreditvolumen" . _:genid2d4dd787bea7a348be97ca4e4c5cf133422db2 "Bank Austria" . _:genid2d4dd787bea7a348be97ca4e4c5cf133422db2 _:genid2d4dd787bea7a348be97ca4e4c5cf133422db3 . _:genid2d4dd787bea7a348be97ca4e4c5cf133422db2 "2010 bis 2018" . _:genid2d4dd787bea7a348be97ca4e4c5cf133422db2 "False" . _:genid2d4dd787bea7a348be97ca4e4c5cf133422db2 . _:genid2d4dd787bea7a348be97ca4e4c5cf133422db3 . _:genid2d4dd787bea7a348be97ca4e4c5cf133422db3 _:genid2d4dd787bea7a348be97ca4e4c5cf133422db4 . _:genid2d4dd787bea7a348be97ca4e4c5cf133422db3 "Statista" . _:genid2d4dd787bea7a348be97ca4e4c5cf133422db3 . _:genid2d4dd787bea7a348be97ca4e4c5cf133422db4 . _:genid2d4dd787bea7a348be97ca4e4c5cf133422db4 . _:genid2d4dd787bea7a348be97ca4e4c5cf133422db5 . _:genid2d4dd787bea7a348be97ca4e4c5cf133422db5 "[data-paywallcontent]" . _:genid2d4dd787bea7a348be97ca4e4c5cf133422db5 "False" . _:genid2d10cb6ad67b5e45d090ec9f8174fd1ef12db0 . _:genid2d10cb6ad67b5e45d090ec9f8174fd1ef12db0 "Enterprise Surveys" . _:genid2d10cb6ad67b5e45d090ec9f8174fd1ef12db0 "World Bank" . _:genid2dc9a05780ed094b81a6676b94be9b4fce2db0 . _:genid2dc9a05780ed094b81a6676b94be9b4fce2db0 "Bureaucrats in Business: The Economics and Politics of Government Ownership" . _:genid2dc9a05780ed094b81a6676b94be9b4fce2db0 "World Bank" . _:genid2dc9a05780ed094b81a6676b94be9b4fce2db0 _:genid2dc9a05780ed094b81a6676b94be9b4fce2db1 . _:genid2dc9a05780ed094b81a6676b94be9b4fce2db0 _:genid2dc9a05780ed094b81a6676b94be9b4fce2db2 . _:genid2d999a7b596935444ca5d21c6f8a241bf72db0 . _:genid2d999a7b596935444ca5d21c6f8a241bf72db0 _:genid2d999a7b596935444ca5d21c6f8a241bf72db1 . _:genid2d999a7b596935444ca5d21c6f8a241bf72db0 "Statista" . _:genid2d999a7b596935444ca5d21c6f8a241bf72db0 . _:genid2dc9a05780ed094b81a6676b94be9b4fce2db1 . _:genid2dc9a05780ed094b81a6676b94be9b4fce2db1 "STATA" . _:genid2dc9a05780ed094b81a6676b94be9b4fce2db1 . _:genid2d999a7b596935444ca5d21c6f8a241bf72db1 . _:genid2d999a7b596935444ca5d21c6f8a241bf72db1 . _:genid2dc9a05780ed094b81a6676b94be9b4fce2db2 . _:genid2dc9a05780ed094b81a6676b94be9b4fce2db2 "EXCEL" . _:genid2dc9a05780ed094b81a6676b94be9b4fce2db2 . _:genid2d999a7b596935444ca5d21c6f8a241bf72db2 . _:genid2d999a7b596935444ca5d21c6f8a241bf72db2 _:genid2d999a7b596935444ca5d21c6f8a241bf72db5 . _:genid2d999a7b596935444ca5d21c6f8a241bf72db2 "Weltweit" . _:genid2d999a7b596935444ca5d21c6f8a241bf72db2 "Diese Statistik zeigt den Umsatz von Haniel in den Jahren 2010 bis 2018 in Millionen Euro. Im Jahr 2018 setzte Haniel rund 4,68 Milliarden Euro um. Haniel ist ein deutscher Handelskonzern, der sich seit der Gr\u00FCndung in der Mitte des 18. Jahrhundert im Besitz der Familie Haniel befindet. Zur Holding z\u00E4hlen u.a. die Unternehmen ELG (Recycling), CWS-boco (Berufsbekleidung), Optimar (Fischverarbeitung) sowie Beteiligungen an den Handelskonzernen Ceconomy und der Metro Gruppe." . _:genid2d999a7b596935444ca5d21c6f8a241bf72db2 "Umsatz von Haniel weltweit bis 2018" . _:genid2d999a7b596935444ca5d21c6f8a241bf72db2 "Haniel Gruppe" . _:genid2d999a7b596935444ca5d21c6f8a241bf72db2 _:genid2d999a7b596935444ca5d21c6f8a241bf72db3 . _:genid2d999a7b596935444ca5d21c6f8a241bf72db2 "2010 bis 2018" . _:genid2d999a7b596935444ca5d21c6f8a241bf72db2 "False" . _:genid2d999a7b596935444ca5d21c6f8a241bf72db2 . _:genid2d2feeb2f1a1514c11ab3ecfe832ffcf082db0 . _:genid2d2feeb2f1a1514c11ab3ecfe832ffcf082db0 "Global Financial Development" . _:genid2d2feeb2f1a1514c11ab3ecfe832ffcf082db0 "World Bank" . _:genid2d2feeb2f1a1514c11ab3ecfe832ffcf082db0 _:genid2d2feeb2f1a1514c11ab3ecfe832ffcf082db1 . _:genid2d2feeb2f1a1514c11ab3ecfe832ffcf082db0 _:genid2d2feeb2f1a1514c11ab3ecfe832ffcf082db2 . _:genid2d999a7b596935444ca5d21c6f8a241bf72db3 . _:genid2d999a7b596935444ca5d21c6f8a241bf72db3 _:genid2d999a7b596935444ca5d21c6f8a241bf72db4 . _:genid2d999a7b596935444ca5d21c6f8a241bf72db3 "Statista" . _:genid2d999a7b596935444ca5d21c6f8a241bf72db3 . _:genid2d999a7b596935444ca5d21c6f8a241bf72db4 . _:genid2d999a7b596935444ca5d21c6f8a241bf72db4 . _:genid2d2feeb2f1a1514c11ab3ecfe832ffcf082db1 . _:genid2d2feeb2f1a1514c11ab3ecfe832ffcf082db1 "EXCEL ZIP" . _:genid2d2feeb2f1a1514c11ab3ecfe832ffcf082db1 . _:genid2d999a7b596935444ca5d21c6f8a241bf72db5 . _:genid2d999a7b596935444ca5d21c6f8a241bf72db5 "[data-paywallcontent]" . _:genid2d999a7b596935444ca5d21c6f8a241bf72db5 "False" . _:genid2d2feeb2f1a1514c11ab3ecfe832ffcf082db2 . _:genid2d2feeb2f1a1514c11ab3ecfe832ffcf082db2 "CSV ZIP" . _:genid2d2feeb2f1a1514c11ab3ecfe832ffcf082db2 . _:genid2df6987c81121c4712a232145451b387772db0 . _:genid2df6987c81121c4712a232145451b387772db0 _:genid2df6987c81121c4712a232145451b387772db1 . _:genid2df6987c81121c4712a232145451b387772db0 "Statista" . _:genid2df6987c81121c4712a232145451b387772db0 . _:genid2df6987c81121c4712a232145451b387772db1 . _:genid2df6987c81121c4712a232145451b387772db1 . _:genid2df6987c81121c4712a232145451b387772db2 . _:genid2df6987c81121c4712a232145451b387772db2 _:genid2df6987c81121c4712a232145451b387772db5 . _:genid2df6987c81121c4712a232145451b387772db2 "Vereinigtes K\u00F6nigreich,USA" . _:genid2df6987c81121c4712a232145451b387772db2 "Diese Statistik zeigt das Ergebnis einer Umfrage zur Nutzung von Live-Chat-Software f\u00FCr die Kommunikation mit Kunden in den USA und im Vereinigten K\u00F6nigreich im Jahr 2018. Zum Zeitpunkt der Erhebung gaben 32 Prozent der Befragten an, auf ihrer Webseite Live-Chat-Software zu nutzen." . _:genid2df6987c81121c4712a232145451b387772db2 "Umfrage zur Nutzung von Live-Chat-Software f\u00FCr die Kommunikation mit Kunden 2018" . _:genid2df6987c81121c4712a232145451b387772db2 "Live Chat" . _:genid2df6987c81121c4712a232145451b387772db2 "Kundenkommunikation" . _:genid2df6987c81121c4712a232145451b387772db2 "Kundenservice-Chat" . _:genid2df6987c81121c4712a232145451b387772db2 _:genid2df6987c81121c4712a232145451b387772db3 . _:genid2df6987c81121c4712a232145451b387772db2 "2. Quartal 2018" . _:genid2df6987c81121c4712a232145451b387772db2 "False" . _:genid2df6987c81121c4712a232145451b387772db2 . _:genid2df6987c81121c4712a232145451b387772db3 . _:genid2df6987c81121c4712a232145451b387772db3 _:genid2df6987c81121c4712a232145451b387772db4 . _:genid2df6987c81121c4712a232145451b387772db3 "Statista" . _:genid2df6987c81121c4712a232145451b387772db3 . _:genid2df6987c81121c4712a232145451b387772db4 . _:genid2df6987c81121c4712a232145451b387772db4 . _:genid2df6987c81121c4712a232145451b387772db5 . _:genid2df6987c81121c4712a232145451b387772db5 ".statistic__wrapper" . _:genid2df6987c81121c4712a232145451b387772db5 "False" . _:genid2dd96855e8b5d44d93a3691edd308975152db0 . _:genid2dd96855e8b5d44d93a3691edd308975152db0 "Global Economic Monitor" . _:genid2dd96855e8b5d44d93a3691edd308975152db0 "World Bank" . _:genid2dd96855e8b5d44d93a3691edd308975152db0 _:genid2dd96855e8b5d44d93a3691edd308975152db1 . _:genid2dd96855e8b5d44d93a3691edd308975152db1 . _:genid2dd96855e8b5d44d93a3691edd308975152db1 "ZIP" . _:genid2dd96855e8b5d44d93a3691edd308975152db1 . _:genid2d5b3e4aa70b81461fbdea020eb8162f8e2db0 . _:genid2d5b3e4aa70b81461fbdea020eb8162f8e2db0 "Investment Climate FCS-typology-focused Data" . _:genid2d5b3e4aa70b81461fbdea020eb8162f8e2db0 "World Bank" . _:genid2d5b3e4aa70b81461fbdea020eb8162f8e2db0 _:genid2d5b3e4aa70b81461fbdea020eb8162f8e2db1 . _:genid2d5b3e4aa70b81461fbdea020eb8162f8e2db0 _:genid2d5b3e4aa70b81461fbdea020eb8162f8e2db2 . _:genid2d5b3e4aa70b81461fbdea020eb8162f8e2db1 . _:genid2d5b3e4aa70b81461fbdea020eb8162f8e2db1 "EXCEL" . _:genid2d5b3e4aa70b81461fbdea020eb8162f8e2db1 . _:genid2d5b3e4aa70b81461fbdea020eb8162f8e2db2 . _:genid2d5b3e4aa70b81461fbdea020eb8162f8e2db2 "OTHER" . _:genid2d5b3e4aa70b81461fbdea020eb8162f8e2db2 . _:genid2d70b25c6f9eb349c5b5a8b6b47c27383b2db0 . _:genid2d70b25c6f9eb349c5b5a8b6b47c27383b2db0 _:genid2d70b25c6f9eb349c5b5a8b6b47c27383b2db1 . _:genid2d70b25c6f9eb349c5b5a8b6b47c27383b2db0 "Statista" . _:genid2d70b25c6f9eb349c5b5a8b6b47c27383b2db0 . _:genid2d70b25c6f9eb349c5b5a8b6b47c27383b2db1 . _:genid2d70b25c6f9eb349c5b5a8b6b47c27383b2db1 . _:genid2d70b25c6f9eb349c5b5a8b6b47c27383b2db2 . _:genid2d70b25c6f9eb349c5b5a8b6b47c27383b2db2 _:genid2d70b25c6f9eb349c5b5a8b6b47c27383b2db5 . _:genid2d70b25c6f9eb349c5b5a8b6b47c27383b2db2 "Malta" . _:genid2d70b25c6f9eb349c5b5a8b6b47c27383b2db2 "Diese Statistik zeigt den Umsatz der Branche Erbringung sonstiger wirtschaftlicher Dienstleistungen f\u00FCr Unternehmen und Privatpersonen in Malta nach Segment in den Jahren von 2010 bis 2015 und eine Prognose von Statista bis zum Jahr 2022 (in Millionen Euro). Laut der Prognose wird der Umsatz im Jahr 2022 rund 180 Millionen Euro betragen.Die Branche \u201EErbringung sonstiger wirtschaftlicher Dienstleistungen f\u00FCr Unternehmen und Privatpersonen\u201C tr\u00E4gt den Branchencode \u201EN829\u201C.Diese Statistik wurde mithilfe des bew\u00E4hrten Statista-Prognosealgorithmus anhand von \u00C4hnlichkeitsparametern zu bestehenden Analystenprognosen automatisch fortgeschrieben. Grundlage f\u00FCr die urspr\u00FCnglichen Prognosen ist eine Kombination aus Zeitreihenprognose, Treiberfortschreibungen von Quellen wie der Weltbank oder dem Internationalen W\u00E4hrungsfond sowie Businesssurveys." . _:genid2d70b25c6f9eb349c5b5a8b6b47c27383b2db2 "Branchenumsatz Inkassob\u00FCros/Auskunfteien/sonstige Dienstl. in Malta von 2010-2022" . _:genid2d70b25c6f9eb349c5b5a8b6b47c27383b2db2 "Dienstleistungen" . _:genid2d70b25c6f9eb349c5b5a8b6b47c27383b2db2 "Umsatz" . _:genid2d70b25c6f9eb349c5b5a8b6b47c27383b2db2 "Prognose" . _:genid2d70b25c6f9eb349c5b5a8b6b47c27383b2db2 "Umsatzprognose" . _:genid2d70b25c6f9eb349c5b5a8b6b47c27383b2db2 "Abf\u00FCllen" . _:genid2d70b25c6f9eb349c5b5a8b6b47c27383b2db2 "Verpacken" . _:genid2d70b25c6f9eb349c5b5a8b6b47c27383b2db2 "Inkassob\u00FCros" . _:genid2d70b25c6f9eb349c5b5a8b6b47c27383b2db2 "Auskunfteien" . _:genid2d70b25c6f9eb349c5b5a8b6b47c27383b2db2 _:genid2d70b25c6f9eb349c5b5a8b6b47c27383b2db3 . _:genid2d70b25c6f9eb349c5b5a8b6b47c27383b2db2 "2010-2015" . _:genid2d70b25c6f9eb349c5b5a8b6b47c27383b2db2 "False" . _:genid2d70b25c6f9eb349c5b5a8b6b47c27383b2db2 . _:genid2d70b25c6f9eb349c5b5a8b6b47c27383b2db3 . _:genid2d70b25c6f9eb349c5b5a8b6b47c27383b2db3 _:genid2d70b25c6f9eb349c5b5a8b6b47c27383b2db4 . _:genid2d70b25c6f9eb349c5b5a8b6b47c27383b2db3 "Statista" . _:genid2d70b25c6f9eb349c5b5a8b6b47c27383b2db3 . _:genid2d70b25c6f9eb349c5b5a8b6b47c27383b2db4 . _:genid2d70b25c6f9eb349c5b5a8b6b47c27383b2db4 . _:genid2d70b25c6f9eb349c5b5a8b6b47c27383b2db5 . _:genid2d70b25c6f9eb349c5b5a8b6b47c27383b2db5 ".statistic__wrapper" . _:genid2d70b25c6f9eb349c5b5a8b6b47c27383b2db5 "False" . _:genid2d7ee3b3b3fad94d76afb4bd71e9c8dab62db0 . _:genid2d7ee3b3b3fad94d76afb4bd71e9c8dab62db0 _:genid2d7ee3b3b3fad94d76afb4bd71e9c8dab62db1 . _:genid2d7ee3b3b3fad94d76afb4bd71e9c8dab62db0 "Statista" . _:genid2d7ee3b3b3fad94d76afb4bd71e9c8dab62db0 . _:genid2d7ee3b3b3fad94d76afb4bd71e9c8dab62db1 . _:genid2d7ee3b3b3fad94d76afb4bd71e9c8dab62db1 . _:genid2d7ee3b3b3fad94d76afb4bd71e9c8dab62db2 . _:genid2d7ee3b3b3fad94d76afb4bd71e9c8dab62db2 _:genid2d7ee3b3b3fad94d76afb4bd71e9c8dab62db5 . _:genid2d7ee3b3b3fad94d76afb4bd71e9c8dab62db2 "Deutschland" . _:genid2d7ee3b3b3fad94d76afb4bd71e9c8dab62db2 "Die vorliegende Statistik zeigt die zehn h\u00E4ufigsten psychischen Erkrankungen bei Krankschreibung aufgrund von Burn-out (Z 73) im Jahr 2011. In diesem Jahr wurde bei rund 21,7 Prozent aller Patienten, die aufgrund von Burn-out krankgeschrieben wurden (N=39.305), eine depressive Episode diagnostiziert." . _:genid2d7ee3b3b3fad94d76afb4bd71e9c8dab62db2 "Burn-out - H\u00E4ufigste psychischen Erkrankungen bei Krankschreibung 2011" . _:genid2d7ee3b3b3fad94d76afb4bd71e9c8dab62db2 "Erkrankungen" . _:genid2d7ee3b3b3fad94d76afb4bd71e9c8dab62db2 "psychische Erkrankungen" . _:genid2d7ee3b3b3fad94d76afb4bd71e9c8dab62db2 "Diagnose" . _:genid2d7ee3b3b3fad94d76afb4bd71e9c8dab62db2 "Burn-out" . _:genid2d7ee3b3b3fad94d76afb4bd71e9c8dab62db2 _:genid2d7ee3b3b3fad94d76afb4bd71e9c8dab62db3 . _:genid2d7ee3b3b3fad94d76afb4bd71e9c8dab62db2 "2011" . _:genid2d7ee3b3b3fad94d76afb4bd71e9c8dab62db2 "False" . _:genid2d7ee3b3b3fad94d76afb4bd71e9c8dab62db2 . _:genid2d7ee3b3b3fad94d76afb4bd71e9c8dab62db3 . _:genid2d7ee3b3b3fad94d76afb4bd71e9c8dab62db3 _:genid2d7ee3b3b3fad94d76afb4bd71e9c8dab62db4 . _:genid2d7ee3b3b3fad94d76afb4bd71e9c8dab62db3 "Statista" . _:genid2d7ee3b3b3fad94d76afb4bd71e9c8dab62db3 . _:genid2d7ee3b3b3fad94d76afb4bd71e9c8dab62db4 . _:genid2d7ee3b3b3fad94d76afb4bd71e9c8dab62db4 . _:genid2d7ee3b3b3fad94d76afb4bd71e9c8dab62db5 . _:genid2d7ee3b3b3fad94d76afb4bd71e9c8dab62db5 "[data-paywallcontent]" . _:genid2d7ee3b3b3fad94d76afb4bd71e9c8dab62db5 "False" . _:genid2d5f74afc07ed14437ac6602ba5bae99d82db0 . _:genid2d5f74afc07ed14437ac6602ba5bae99d82db0 _:genid2d5f74afc07ed14437ac6602ba5bae99d82db1 . _:genid2d5f74afc07ed14437ac6602ba5bae99d82db0 "Statista" . _:genid2d5f74afc07ed14437ac6602ba5bae99d82db0 . _:genid2d5f74afc07ed14437ac6602ba5bae99d82db1 . _:genid2d5f74afc07ed14437ac6602ba5bae99d82db1 . _:genid2d5f74afc07ed14437ac6602ba5bae99d82db2 . _:genid2d5f74afc07ed14437ac6602ba5bae99d82db2 _:genid2d5f74afc07ed14437ac6602ba5bae99d82db5 . _:genid2d5f74afc07ed14437ac6602ba5bae99d82db2 "Deutschland" . _:genid2d5f74afc07ed14437ac6602ba5bae99d82db2 "Die Statistik zeigt die F\u00F6rdermittel des Bundes im Bereich Energiespeicher nach Sektor in den Jahren 2017 und 2018. Um die Energiewende erfolgreich gestalten zu k\u00F6nnen, ist die Forschung im Bereich Energiespeicherung von gro\u00DFer Bedeutung. Je schneller die M\u00F6glichkeit besteht, Energie effizient zu speichern, desto eher k\u00F6nnen die Schwankungen im Stromnetz ausgeglichen und die Abwendung von fossilen Energietr\u00E4gern durchgef\u00FChrt werden. Im Jahr 2018 stellte der Bund F\u00F6rdermittel f\u00FCr elektrochemische Speicher in H\u00F6he von rund 25 Millionen Euro zur Verf\u00FCgung." . _:genid2d5f74afc07ed14437ac6602ba5bae99d82db2 "Energiespeicher - F\u00F6rdermittel des Bundes nach Sektor 2018" . _:genid2d5f74afc07ed14437ac6602ba5bae99d82db2 "Bund" . _:genid2d5f74afc07ed14437ac6602ba5bae99d82db2 "F\u00F6rdermittel" . _:genid2d5f74afc07ed14437ac6602ba5bae99d82db2 "Energiespeicher" . _:genid2d5f74afc07ed14437ac6602ba5bae99d82db2 _:genid2d5f74afc07ed14437ac6602ba5bae99d82db3 . _:genid2d5f74afc07ed14437ac6602ba5bae99d82db2 "2017 und 2018" . _:genid2d5f74afc07ed14437ac6602ba5bae99d82db2 "False" . _:genid2d5f74afc07ed14437ac6602ba5bae99d82db2 . _:genid2d5f74afc07ed14437ac6602ba5bae99d82db3 . _:genid2d5f74afc07ed14437ac6602ba5bae99d82db3 _:genid2d5f74afc07ed14437ac6602ba5bae99d82db4 . _:genid2d5f74afc07ed14437ac6602ba5bae99d82db3 "Statista" . _:genid2d5f74afc07ed14437ac6602ba5bae99d82db3 . _:genid2d5f74afc07ed14437ac6602ba5bae99d82db4 . _:genid2d5f74afc07ed14437ac6602ba5bae99d82db4 . _:genid2d5f74afc07ed14437ac6602ba5bae99d82db5 . _:genid2d5f74afc07ed14437ac6602ba5bae99d82db5 "[data-paywallcontent]" . _:genid2d5f74afc07ed14437ac6602ba5bae99d82db5 "False" . _:genid2d4a34e04c4483486ba46858e1a3704ca62db0 . _:genid2d4a34e04c4483486ba46858e1a3704ca62db0 _:genid2d4a34e04c4483486ba46858e1a3704ca62db1 . _:genid2d4a34e04c4483486ba46858e1a3704ca62db0 "Statista" . _:genid2d4a34e04c4483486ba46858e1a3704ca62db0 . _:genid2d4a34e04c4483486ba46858e1a3704ca62db1 . _:genid2d4a34e04c4483486ba46858e1a3704ca62db1 . _:genid2de75046c1b0fa4f1fba727b4e445562122db0 . _:genid2de75046c1b0fa4f1fba727b4e445562122db0 "SMU06360842023810001SA" . _:genid2de75046c1b0fa4f1fba727b4e445562122db0 "2019-10-18T16:02:00-05:00"^^ . _:genid2de75046c1b0fa4f1fba727b4e445562122db0 "Graph and download economic data for All Employees: Construction: Foundation, Structure, and Building Exterior Contractors in Oakland-Hayward-Berkeley, CA (MD) (SMU06360842023810001SA) from Jan 1990 to Sep 2019 about Oakland, contractors, buildings, construction, CA, employment, and USA." . _:genid2de75046c1b0fa4f1fba727b4e445562122db0 "All Employees: Construction: Foundation, Structure, and Building Exterior Contractors in Oakland-Hayward-Berkeley, CA (MD)" . _:genid2de75046c1b0fa4f1fba727b4e445562122db0 . _:genid2de75046c1b0fa4f1fba727b4e445562122db0 "en-US" . _:genid2de75046c1b0fa4f1fba727b4e445562122db0 "oakland, contractors, metropolitan division, buildings, sae, construction, ca, frb stl, employment, bls, sa, monthly, usa, public domain: citation requested, Economic Data, FRED, St. Louis Fed, Federal Reserve, State and Metro Area Employment, Hours, and Earnings, California, St. Louis Fed, Bureau of Labor Statistics, Seasonally Adjusted, United States of America" . _:genid2de75046c1b0fa4f1fba727b4e445562122db0 _:genid2de75046c1b0fa4f1fba727b4e445562122db2 . _:genid2de75046c1b0fa4f1fba727b4e445562122db0 _:genid2de75046c1b0fa4f1fba727b4e445562122db1 . _:genid2de75046c1b0fa4f1fba727b4e445562122db1 . _:genid2de75046c1b0fa4f1fba727b4e445562122db1 . _:genid2de75046c1b0fa4f1fba727b4e445562122db2 . _:genid2de75046c1b0fa4f1fba727b4e445562122db2 "Federal Reserve Economic Data" . _:genid2de75046c1b0fa4f1fba727b4e445562122db2 "FRED" . _:genid2de75046c1b0fa4f1fba727b4e445562122db2 _:genid2de75046c1b0fa4f1fba727b4e445562122db3 . _:genid2de75046c1b0fa4f1fba727b4e445562122db2 . _:genid2de75046c1b0fa4f1fba727b4e445562122db3 . _:genid2de75046c1b0fa4f1fba727b4e445562122db3 "Federal Reserve Bank of St. Louis" . _:genid2de75046c1b0fa4f1fba727b4e445562122db3 "(314) 444-3733" . _:genid2de75046c1b0fa4f1fba727b4e445562122db3 "fred@stlouisfed.org" . _:genid2de75046c1b0fa4f1fba727b4e445562122db3 _:genid2de75046c1b0fa4f1fba727b4e445562122db4 . _:genid2de75046c1b0fa4f1fba727b4e445562122db3 "Research Division" . _:genid2de75046c1b0fa4f1fba727b4e445562122db3 . _:genid2d4a34e04c4483486ba46858e1a3704ca62db2 . _:genid2d4a34e04c4483486ba46858e1a3704ca62db2 _:genid2d4a34e04c4483486ba46858e1a3704ca62db5 . _:genid2d4a34e04c4483486ba46858e1a3704ca62db2 "Spanien" . _:genid2d4a34e04c4483486ba46858e1a3704ca62db2 "Die Statistik bildet die Anzahl der Mobilfunkanschl\u00FCsse in Spanien in den Jahren 2000 bis 2018 ab. Die Zahlen beziehen sich auf die Anzahl der aktiven SIM-Karten, sowohl Prepaid als auch Postpaid. Laut Quelle belief sich die Anzahl der Mobilfunkanschl\u00FCsse in Spanien im Jahr 2018 auf rund 54,1 Millionen." . _:genid2d4a34e04c4483486ba46858e1a3704ca62db2 "Anzahl der Mobilfunkanschl\u00FCsse in Spanien bis 2018" . _:genid2d4a34e04c4483486ba46858e1a3704ca62db2 "Mobilfunkkunden" . _:genid2d4a34e04c4483486ba46858e1a3704ca62db2 "Mobilfunkteilnehmer" . _:genid2d4a34e04c4483486ba46858e1a3704ca62db2 "Mobilfunkanschl\u00FCsse" . _:genid2d4a34e04c4483486ba46858e1a3704ca62db2 _:genid2d4a34e04c4483486ba46858e1a3704ca62db3 . _:genid2d4a34e04c4483486ba46858e1a3704ca62db2 "2000 bis 2018" . _:genid2d4a34e04c4483486ba46858e1a3704ca62db2 "False" . _:genid2d4a34e04c4483486ba46858e1a3704ca62db2 . _:genid2de75046c1b0fa4f1fba727b4e445562122db4 . _:genid2de75046c1b0fa4f1fba727b4e445562122db4 "St. Louis" . _:genid2de75046c1b0fa4f1fba727b4e445562122db4 "MO" . _:genid2de75046c1b0fa4f1fba727b4e445562122db4 "USA" . _:genid2de75046c1b0fa4f1fba727b4e445562122db4 "63102" . _:genid2de75046c1b0fa4f1fba727b4e445562122db4 "Federal Reserve Bank Plaza, 1 Broadway" . _:genid2d4a34e04c4483486ba46858e1a3704ca62db3 . _:genid2d4a34e04c4483486ba46858e1a3704ca62db3 _:genid2d4a34e04c4483486ba46858e1a3704ca62db4 . _:genid2d4a34e04c4483486ba46858e1a3704ca62db3 "Statista" . _:genid2d4a34e04c4483486ba46858e1a3704ca62db3 . _:genid2d4a34e04c4483486ba46858e1a3704ca62db4 . _:genid2d4a34e04c4483486ba46858e1a3704ca62db4 . _:genid2d4a34e04c4483486ba46858e1a3704ca62db5 . _:genid2d4a34e04c4483486ba46858e1a3704ca62db5 "[data-paywallcontent]" . _:genid2d4a34e04c4483486ba46858e1a3704ca62db5 "False" . _:genid2df9b297a81992445bb4649d043ade9dd32db0 . _:genid2df9b297a81992445bb4649d043ade9dd32db0 "B03002005E006089" . _:genid2df9b297a81992445bb4649d043ade9dd32db0 "2018-12-07T08:56:00-06:00"^^ . _:genid2df9b297a81992445bb4649d043ade9dd32db0 "Graph and download economic data for Population Estimate of Non-Hispanic American Indian or Native Alaskan Persons in Shasta County, CA (B03002005E006089) from 2009 to 2017 about Shasta County, CA; Redding; American Indian; Native Alaskan; non-hispanic; estimate; CA; population; Prosperity Scorecard; and USA." . _:genid2df9b297a81992445bb4649d043ade9dd32db0 "Population Estimate of Non-Hispanic American Indian or Native Alaskan Persons in Shasta County, CA" . _:genid2df9b297a81992445bb4649d043ade9dd32db0 . _:genid2df9b297a81992445bb4649d043ade9dd32db0 "en-US" . _:genid2df9b297a81992445bb4649d043ade9dd32db0 "shasta county, ca, redding, american indian, native alaskan, non-hispanic, estimate, ca, population, prosperity scorecard, county, census, annual, usa, public domain: citation requested, nsa, Economic Data, FRED, St. Louis Fed, Federal Reserve, California, County or County Equivalent, Census, United States of America, Not Seasonally Adjusted" . _:genid2df9b297a81992445bb4649d043ade9dd32db0 _:genid2df9b297a81992445bb4649d043ade9dd32db2 . _:genid2df9b297a81992445bb4649d043ade9dd32db0 _:genid2df9b297a81992445bb4649d043ade9dd32db1 . _:genid2df9b297a81992445bb4649d043ade9dd32db1 . _:genid2df9b297a81992445bb4649d043ade9dd32db1 . _:genid2df9b297a81992445bb4649d043ade9dd32db2 . _:genid2df9b297a81992445bb4649d043ade9dd32db2 "Federal Reserve Economic Data" . _:genid2df9b297a81992445bb4649d043ade9dd32db2 "FRED" . _:genid2df9b297a81992445bb4649d043ade9dd32db2 _:genid2df9b297a81992445bb4649d043ade9dd32db3 . _:genid2df9b297a81992445bb4649d043ade9dd32db2 . _:genid2df9b297a81992445bb4649d043ade9dd32db3 . _:genid2df9b297a81992445bb4649d043ade9dd32db3 "Federal Reserve Bank of St. Louis" . _:genid2df9b297a81992445bb4649d043ade9dd32db3 "(314) 444-3733" . _:genid2df9b297a81992445bb4649d043ade9dd32db3 "fred@stlouisfed.org" . _:genid2df9b297a81992445bb4649d043ade9dd32db3 _:genid2df9b297a81992445bb4649d043ade9dd32db4 . _:genid2df9b297a81992445bb4649d043ade9dd32db3 "Research Division" . _:genid2df9b297a81992445bb4649d043ade9dd32db3 . _:genid2df9b297a81992445bb4649d043ade9dd32db4 . _:genid2df9b297a81992445bb4649d043ade9dd32db4 "St. Louis" . _:genid2df9b297a81992445bb4649d043ade9dd32db4 "MO" . _:genid2df9b297a81992445bb4649d043ade9dd32db4 "USA" . _:genid2df9b297a81992445bb4649d043ade9dd32db4 "63102" . _:genid2df9b297a81992445bb4649d043ade9dd32db4 "Federal Reserve Bank Plaza, 1 Broadway" . _:genid2da0a7e429e0734473abed6e4d90b745772db0 . _:genid2da0a7e429e0734473abed6e4d90b745772db0 "B03002012E051047" . _:genid2da0a7e429e0734473abed6e4d90b745772db0 "2018-12-07T08:53:00-06:00"^^ . _:genid2da0a7e429e0734473abed6e4d90b745772db0 "Graph and download economic data for Population Estimate of Hispanic or Latino Persons in Culpeper County, VA (B03002012E051047) from 2009 to 2017 about Culpeper County, VA; latino; hispanic; estimate; VA; population; Prosperity Scorecard; and USA." . _:genid2da0a7e429e0734473abed6e4d90b745772db0 "Population Estimate of Hispanic or Latino Persons in Culpeper County, VA" . _:genid2da0a7e429e0734473abed6e4d90b745772db0 . _:genid2da0a7e429e0734473abed6e4d90b745772db0 "en-US" . _:genid2da0a7e429e0734473abed6e4d90b745772db0 "culpeper county, va, latino, hispanic, estimate, va, population, prosperity scorecard, county, census, annual, usa, public domain: citation requested, nsa, Economic Data, FRED, St. Louis Fed, Federal Reserve, Virginia, County or County Equivalent, Census, United States of America, Not Seasonally Adjusted" . _:genid2da0a7e429e0734473abed6e4d90b745772db0 _:genid2da0a7e429e0734473abed6e4d90b745772db2 . _:genid2da0a7e429e0734473abed6e4d90b745772db0 _:genid2da0a7e429e0734473abed6e4d90b745772db1 . _:genid2da0a7e429e0734473abed6e4d90b745772db1 . _:genid2da0a7e429e0734473abed6e4d90b745772db1 . _:genid2da0a7e429e0734473abed6e4d90b745772db2 . _:genid2da0a7e429e0734473abed6e4d90b745772db2 "Federal Reserve Economic Data" . _:genid2da0a7e429e0734473abed6e4d90b745772db2 "FRED" . _:genid2da0a7e429e0734473abed6e4d90b745772db2 _:genid2da0a7e429e0734473abed6e4d90b745772db3 . _:genid2da0a7e429e0734473abed6e4d90b745772db2 . _:genid2da0a7e429e0734473abed6e4d90b745772db3 . _:genid2da0a7e429e0734473abed6e4d90b745772db3 "Federal Reserve Bank of St. Louis" . _:genid2da0a7e429e0734473abed6e4d90b745772db3 "(314) 444-3733" . _:genid2da0a7e429e0734473abed6e4d90b745772db3 "fred@stlouisfed.org" . _:genid2da0a7e429e0734473abed6e4d90b745772db3 _:genid2da0a7e429e0734473abed6e4d90b745772db4 . _:genid2da0a7e429e0734473abed6e4d90b745772db3 "Research Division" . _:genid2da0a7e429e0734473abed6e4d90b745772db3 . _:genid2da0a7e429e0734473abed6e4d90b745772db4 . _:genid2da0a7e429e0734473abed6e4d90b745772db4 "St. Louis" . _:genid2da0a7e429e0734473abed6e4d90b745772db4 "MO" . _:genid2da0a7e429e0734473abed6e4d90b745772db4 "USA" . _:genid2da0a7e429e0734473abed6e4d90b745772db4 "63102" . _:genid2da0a7e429e0734473abed6e4d90b745772db4 "Federal Reserve Bank Plaza, 1 Broadway" . _:genid2d62281335be9a403eb3f6c960933bd1ff2db0 . _:genid2d62281335be9a403eb3f6c960933bd1ff2db0 "LAUCN370410000000003A" . _:genid2d62281335be9a403eb3f6c960933bd1ff2db0 "2019-06-04T16:03:00-05:00"^^ . _:genid2d62281335be9a403eb3f6c960933bd1ff2db0 "Graph and download economic data for Unemployment Rate in Chowan County, NC (LAUCN370410000000003A) from 1990 to 2018 about Chowan County, NC; NC; Prosperity Scorecard; unemployment; rate; and USA." . _:genid2d62281335be9a403eb3f6c960933bd1ff2db0 "Unemployment Rate in Chowan County, NC" . _:genid2d62281335be9a403eb3f6c960933bd1ff2db0 . _:genid2d62281335be9a403eb3f6c960933bd1ff2db0 "en-US" . _:genid2d62281335be9a403eb3f6c960933bd1ff2db0 "chowan county, nc, nc, prosperity scorecard, county, unemployment, bls, rate, annual, usa, public domain: citation requested, nsa, Economic Data, FRED, St. Louis Fed, Federal Reserve, North Carolina, County or County Equivalent, Bureau of Labor Statistics, United States of America, Not Seasonally Adjusted" . _:genid2d62281335be9a403eb3f6c960933bd1ff2db0 _:genid2d62281335be9a403eb3f6c960933bd1ff2db2 . _:genid2d62281335be9a403eb3f6c960933bd1ff2db0 _:genid2d62281335be9a403eb3f6c960933bd1ff2db1 . _:genid2d62281335be9a403eb3f6c960933bd1ff2db1 . _:genid2d62281335be9a403eb3f6c960933bd1ff2db1 . _:genid2d62281335be9a403eb3f6c960933bd1ff2db2 . _:genid2d62281335be9a403eb3f6c960933bd1ff2db2 "Federal Reserve Economic Data" . _:genid2d62281335be9a403eb3f6c960933bd1ff2db2 "FRED" . _:genid2d62281335be9a403eb3f6c960933bd1ff2db2 _:genid2d62281335be9a403eb3f6c960933bd1ff2db3 . _:genid2d62281335be9a403eb3f6c960933bd1ff2db2 . _:genid2d62281335be9a403eb3f6c960933bd1ff2db3 . _:genid2d62281335be9a403eb3f6c960933bd1ff2db3 "Federal Reserve Bank of St. Louis" . _:genid2d62281335be9a403eb3f6c960933bd1ff2db3 "(314) 444-3733" . _:genid2d62281335be9a403eb3f6c960933bd1ff2db3 "fred@stlouisfed.org" . _:genid2d62281335be9a403eb3f6c960933bd1ff2db3 _:genid2d62281335be9a403eb3f6c960933bd1ff2db4 . _:genid2d62281335be9a403eb3f6c960933bd1ff2db3 "Research Division" . _:genid2d62281335be9a403eb3f6c960933bd1ff2db3 . _:genid2d62281335be9a403eb3f6c960933bd1ff2db4 . _:genid2d62281335be9a403eb3f6c960933bd1ff2db4 "St. Louis" . _:genid2d62281335be9a403eb3f6c960933bd1ff2db4 "MO" . _:genid2d62281335be9a403eb3f6c960933bd1ff2db4 "USA" . _:genid2d62281335be9a403eb3f6c960933bd1ff2db4 "63102" . _:genid2d62281335be9a403eb3f6c960933bd1ff2db4 "Federal Reserve Bank Plaza, 1 Broadway" . . _:genid2dab38be022dbd47a49734afc3eac3266f2db0 . . "en" . _:genid2dab38be022dbd47a49734afc3eac3266f2db3 . _:genid2dab38be022dbd47a49734afc3eac3266f2db8 . _:genid2dab38be022dbd47a49734afc3eac3266f2db4 . _:genid2dab38be022dbd47a49734afc3eac3266f2db5 . . _:genid2dab38be022dbd47a49734afc3eac3266f2db11 . _:genid2dab38be022dbd47a49734afc3eac3266f2db12 . _:genid2dab38be022dbd47a49734afc3eac3266f2db13 . _:genid2dab38be022dbd47a49734afc3eac3266f2db14 . _:genid2dab38be022dbd47a49734afc3eac3266f2db15 . _:genid2dab38be022dbd47a49734afc3eac3266f2db16 . _:genid2dab38be022dbd47a49734afc3eac3266f2db9 . "https://doi.org/10.1594/PANGAEA.321863" . "Water temperature real-time profiles from cruise FFCH97 (DCQC)" . . _:genid2dab38be022dbd47a49734afc3eac3266f2db7 . "2005-09-29"^^ . _:genid2dab38be022dbd47a49734afc3eac3266f2db6 . <1997-02-16T11:47:00/1997-11-04T17:58:00> . _:genid2dab38be022dbd47a49734afc3eac3266f2db0 . _:genid2dab38be022dbd47a49734afc3eac3266f2db0 "World Ocean Circulation Experiment, Global Data, Version 3.0" . _:genid2dab38be022dbd47a49734afc3eac3266f2db0 _:genid2dab38be022dbd47a49734afc3eac3266f2db2 . _:genid2dab38be022dbd47a49734afc3eac3266f2db0 "180/02" . _:genid2dab38be022dbd47a49734afc3eac3266f2db0 "2002"^^ . _:genid2dab38be022dbd47a49734afc3eac3266f2db0 _:genid2dab38be022dbd47a49734afc3eac3266f2db1 . _:genid2dab38be022dbd47a49734afc3eac3266f2db0 "DVD-ROM" . _:genid2dab38be022dbd47a49734afc3eac3266f2db1 . _:genid2dab38be022dbd47a49734afc3eac3266f2db1 "WOCE" . _:genid2dab38be022dbd47a49734afc3eac3266f2db2 . _:genid2dab38be022dbd47a49734afc3eac3266f2db2 "WOCE International Project Office, WOCE Report, Southampton, UK; published by U.S. National Oceanographic Data Center, Silver Spring" . . "hdl:10013/epic.32928.d001" . "Quality control processing in the UOT DAC system" . . _:genid2dab38be022dbd47a49734afc3eac3266f2db3 . _:genid2dab38be022dbd47a49734afc3eac3266f2db3 "WOCE Upper Ocean Thermal" . _:genid2dab38be022dbd47a49734afc3eac3266f2db3 "UOT" . _:genid2dab38be022dbd47a49734afc3eac3266f2db4 . _:genid2dab38be022dbd47a49734afc3eac3266f2db4 . _:genid2dab38be022dbd47a49734afc3eac3266f2db4 . _:genid2dab38be022dbd47a49734afc3eac3266f2db5 . _:genid2dab38be022dbd47a49734afc3eac3266f2db5 . _:genid2dab38be022dbd47a49734afc3eac3266f2db5 . _:genid2dab38be022dbd47a49734afc3eac3266f2db6 . _:genid2dab38be022dbd47a49734afc3eac3266f2db6 "PANGAEA" . _:genid2dab38be022dbd47a49734afc3eac3266f2db6 "Data Publisher for Earth & Environmental Science" . _:genid2dab38be022dbd47a49734afc3eac3266f2db6 . _:genid2dab38be022dbd47a49734afc3eac3266f2db7 . _:genid2dab38be022dbd47a49734afc3eac3266f2db7 "PANGAEA" . _:genid2dab38be022dbd47a49734afc3eac3266f2db7 "Data Publisher for Earth & Environmental Science" . _:genid2dab38be022dbd47a49734afc3eac3266f2db7 . _:genid2dab38be022dbd47a49734afc3eac3266f2db8 . _:genid2dab38be022dbd47a49734afc3eac3266f2db8 "Marine Environmental Data Services Branch, Ontario" . _:genid2dab38be022dbd47a49734afc3eac3266f2db9 . _:genid2dab38be022dbd47a49734afc3eac3266f2db9 _:genid2dab38be022dbd47a49734afc3eac3266f2db10 . _:genid2dab38be022dbd47a49734afc3eac3266f2db10 . _:genid2dab38be022dbd47a49734afc3eac3266f2db10 "36.76670000000001 -5.2667 58.6 20.3833" . _:genid2dab38be022dbd47a49734afc3eac3266f2db11 . _:genid2dab38be022dbd47a49734afc3eac3266f2db11 "DATE/TIME" . _:genid2dab38be022dbd47a49734afc3eac3266f2db11 . _:genid2dab38be022dbd47a49734afc3eac3266f2db12 . _:genid2dab38be022dbd47a49734afc3eac3266f2db12 "LATITUDE" . _:genid2dab38be022dbd47a49734afc3eac3266f2db12 . _:genid2dab38be022dbd47a49734afc3eac3266f2db13 . _:genid2dab38be022dbd47a49734afc3eac3266f2db13 "LONGITUDE" . _:genid2dab38be022dbd47a49734afc3eac3266f2db13 . _:genid2dab38be022dbd47a49734afc3eac3266f2db14 . _:genid2dab38be022dbd47a49734afc3eac3266f2db14 "DEPTH, water" . _:genid2dab38be022dbd47a49734afc3eac3266f2db14 "m" . _:genid2dab38be022dbd47a49734afc3eac3266f2db15 . _:genid2dab38be022dbd47a49734afc3eac3266f2db15 "Temperature, water" . _:genid2dab38be022dbd47a49734afc3eac3266f2db15 "BATHY message" . _:genid2dab38be022dbd47a49734afc3eac3266f2db15 "\u00B0C" . _:genid2dab38be022dbd47a49734afc3eac3266f2db16 . _:genid2dab38be022dbd47a49734afc3eac3266f2db16 "Station number, DAC-ID" . _:genid2dab38be022dbd47a49734afc3eac3266f2db16 "Sample code/label" . . _:genid2d05c2058a0ff847279e95286756c70afc2db0 . . "en" . _:genid2d05c2058a0ff847279e95286756c70afc2db3 . _:genid2d05c2058a0ff847279e95286756c70afc2db8 . _:genid2d05c2058a0ff847279e95286756c70afc2db4 . _:genid2d05c2058a0ff847279e95286756c70afc2db5 . . _:genid2d05c2058a0ff847279e95286756c70afc2db11 . _:genid2d05c2058a0ff847279e95286756c70afc2db12 . _:genid2d05c2058a0ff847279e95286756c70afc2db13 . _:genid2d05c2058a0ff847279e95286756c70afc2db14 . _:genid2d05c2058a0ff847279e95286756c70afc2db15 . _:genid2d05c2058a0ff847279e95286756c70afc2db16 . _:genid2d05c2058a0ff847279e95286756c70afc2db9 . "https://doi.org/10.1594/PANGAEA.358746" . "Water temperature XBT profiles from cruise ZDBE991 (SCQC)" . . _:genid2d05c2058a0ff847279e95286756c70afc2db7 . "2006-02-03"^^ . _:genid2d05c2058a0ff847279e95286756c70afc2db6 . <1991-08-19T00:00:00/1991-08-19T12:01:00> . _:genid2d05c2058a0ff847279e95286756c70afc2db0 . _:genid2d05c2058a0ff847279e95286756c70afc2db0 "World Ocean Circulation Experiment, Global Data, Version 3.0" . _:genid2d05c2058a0ff847279e95286756c70afc2db0 _:genid2d05c2058a0ff847279e95286756c70afc2db2 . _:genid2d05c2058a0ff847279e95286756c70afc2db0 "180/02" . _:genid2d05c2058a0ff847279e95286756c70afc2db0 "2002"^^ . _:genid2d05c2058a0ff847279e95286756c70afc2db0 _:genid2d05c2058a0ff847279e95286756c70afc2db1 . _:genid2d05c2058a0ff847279e95286756c70afc2db0 "DVD-ROM" . _:genid2d05c2058a0ff847279e95286756c70afc2db1 . _:genid2d05c2058a0ff847279e95286756c70afc2db1 "WOCE" . _:genid2d05c2058a0ff847279e95286756c70afc2db2 . _:genid2d05c2058a0ff847279e95286756c70afc2db2 "WOCE International Project Office, WOCE Report, Southampton, UK; published by U.S. National Oceanographic Data Center, Silver Spring" . . "hdl:10013/epic.32928.d001" . "Quality control processing in the UOT DAC system" . . _:genid2d05c2058a0ff847279e95286756c70afc2db3 . _:genid2d05c2058a0ff847279e95286756c70afc2db3 "WOCE Upper Ocean Thermal" . _:genid2d05c2058a0ff847279e95286756c70afc2db3 "UOT" . _:genid2d05c2058a0ff847279e95286756c70afc2db4 . _:genid2d05c2058a0ff847279e95286756c70afc2db4 . _:genid2d05c2058a0ff847279e95286756c70afc2db4 . _:genid2d05c2058a0ff847279e95286756c70afc2db5 . _:genid2d05c2058a0ff847279e95286756c70afc2db5 . _:genid2d05c2058a0ff847279e95286756c70afc2db5 . _:genid2d8b3f1327fa76409e8355d3db7d090a892db0 . _:genid2d8b3f1327fa76409e8355d3db7d090a892db0 _:genid2d8b3f1327fa76409e8355d3db7d090a892db1 . _:genid2d8b3f1327fa76409e8355d3db7d090a892db0 "Statista" . _:genid2d8b3f1327fa76409e8355d3db7d090a892db0 . _:genid2d05c2058a0ff847279e95286756c70afc2db6 . _:genid2d05c2058a0ff847279e95286756c70afc2db6 "PANGAEA" . _:genid2d05c2058a0ff847279e95286756c70afc2db6 "Data Publisher for Earth & Environmental Science" . _:genid2d05c2058a0ff847279e95286756c70afc2db6 . _:genid2d8b3f1327fa76409e8355d3db7d090a892db1 . _:genid2d8b3f1327fa76409e8355d3db7d090a892db1 . _:genid2d05c2058a0ff847279e95286756c70afc2db7 . _:genid2d05c2058a0ff847279e95286756c70afc2db7 "PANGAEA" . _:genid2d05c2058a0ff847279e95286756c70afc2db7 "Data Publisher for Earth & Environmental Science" . _:genid2d05c2058a0ff847279e95286756c70afc2db7 . _:genid2d05c2058a0ff847279e95286756c70afc2db8 . _:genid2d05c2058a0ff847279e95286756c70afc2db8 "Institut fran\u00E7ais de recherche pour l'exploitation de la mer - Syst\u00E8mes d'Informations Scientifiques pour la Mer" . _:genid2d05c2058a0ff847279e95286756c70afc2db9 . _:genid2d05c2058a0ff847279e95286756c70afc2db9 _:genid2d05c2058a0ff847279e95286756c70afc2db10 . _:genid2d05c2058a0ff847279e95286756c70afc2db10 . _:genid2d05c2058a0ff847279e95286756c70afc2db10 "-2.8333 142.0 -0.8 144.4667" . _:genid2d05c2058a0ff847279e95286756c70afc2db11 . _:genid2d05c2058a0ff847279e95286756c70afc2db11 "DATE/TIME" . _:genid2d05c2058a0ff847279e95286756c70afc2db11 . _:genid2d05c2058a0ff847279e95286756c70afc2db12 . _:genid2d05c2058a0ff847279e95286756c70afc2db12 "LATITUDE" . _:genid2d05c2058a0ff847279e95286756c70afc2db12 . _:genid2d05c2058a0ff847279e95286756c70afc2db13 . _:genid2d05c2058a0ff847279e95286756c70afc2db13 "LONGITUDE" . _:genid2d05c2058a0ff847279e95286756c70afc2db13 . _:genid2d8b3f1327fa76409e8355d3db7d090a892db2 . _:genid2d8b3f1327fa76409e8355d3db7d090a892db2 _:genid2d8b3f1327fa76409e8355d3db7d090a892db5 . _:genid2d8b3f1327fa76409e8355d3db7d090a892db2 "Estados Unidos" . _:genid2d8b3f1327fa76409e8355d3db7d090a892db2 "La estad\u00EDstica proporciona los ingresos de la industria de m\u00FAsica en vivo en Estados Unidos en funci\u00F3n de la procedencia de estos entre 2012 y 2016, as\u00ED como una previsi\u00F3n para el periodo comprendido entre 2017 y 2021. Se prev\u00E9 que los ingresos por venta de entradas de m\u00FAsica en vivo sean de aproximadamente 9.550 millones de d\u00F3lares estadounidenses en 2021, lo que supone un incremento de m\u00E1s de 2.000 millones con respecto a la cifra registrada en 2016. " . _:genid2d8b3f1327fa76409e8355d3db7d090a892db2 "Ingresos por m\u00FAsica en vivo por procedencia Estados Unidos 2012-2021" . _:genid2d8b3f1327fa76409e8355d3db7d090a892db2 "m\u00FAsica en vivo" . _:genid2d8b3f1327fa76409e8355d3db7d090a892db2 "industria musical" . _:genid2d8b3f1327fa76409e8355d3db7d090a892db2 "ingresos anuales" . _:genid2d8b3f1327fa76409e8355d3db7d090a892db2 "procedencia" . _:genid2d8b3f1327fa76409e8355d3db7d090a892db2 _:genid2d8b3f1327fa76409e8355d3db7d090a892db3 . _:genid2d8b3f1327fa76409e8355d3db7d090a892db2 "2012 - 2016" . _:genid2d8b3f1327fa76409e8355d3db7d090a892db2 "False" . _:genid2d8b3f1327fa76409e8355d3db7d090a892db2 . _:genid2d05c2058a0ff847279e95286756c70afc2db14 . _:genid2d05c2058a0ff847279e95286756c70afc2db14 "DEPTH, water" . _:genid2d05c2058a0ff847279e95286756c70afc2db14 "m" . _:genid2d8b3f1327fa76409e8355d3db7d090a892db3 . _:genid2d8b3f1327fa76409e8355d3db7d090a892db3 _:genid2d8b3f1327fa76409e8355d3db7d090a892db4 . _:genid2d8b3f1327fa76409e8355d3db7d090a892db3 "Statista" . _:genid2d8b3f1327fa76409e8355d3db7d090a892db3 . _:genid2d05c2058a0ff847279e95286756c70afc2db15 . _:genid2d05c2058a0ff847279e95286756c70afc2db15 "Temperature, water" . _:genid2d05c2058a0ff847279e95286756c70afc2db15 "XBT" . _:genid2d05c2058a0ff847279e95286756c70afc2db15 "\u00B0C" . _:genid2d8b3f1327fa76409e8355d3db7d090a892db4 . _:genid2d8b3f1327fa76409e8355d3db7d090a892db4 . _:genid2d05c2058a0ff847279e95286756c70afc2db16 . _:genid2d05c2058a0ff847279e95286756c70afc2db16 "DAC-ID" . _:genid2d05c2058a0ff847279e95286756c70afc2db16 "Sample code/label" . _:genid2d8b3f1327fa76409e8355d3db7d090a892db5 . _:genid2d8b3f1327fa76409e8355d3db7d090a892db5 ".statistic__wrapper" . _:genid2d8b3f1327fa76409e8355d3db7d090a892db5 "False" . . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db0 . . . "en" . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db21 . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db22 . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db23 . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db24 . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db25 . . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db30 . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db31 . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db32 . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db33 . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db28 . "https://doi.org/10.1594/PANGAEA.221251" . "Physical properties of Hole 23-229A" . . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db27 . "2004-11-26"^^ . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db26 . <1972-04-27T00:00:00> . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db0 . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db0 "Data from the Deep Sea Drilling Project. Sediment, hard rock and reference files" . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db0 _:genid2da48c03d4a1354009a4dda03eb3bc955b2db2 . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db0 "1" . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db0 "1989"^^ . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db0 _:genid2da48c03d4a1354009a4dda03eb3bc955b2db1 . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db0 "CD-ROM" . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db1 . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db1 "DSDP" . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db2 . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db2 "National Geophysical Data Center, National Environmental Satellite, Data and Information Service, National Oceanic and Atmospheric Administration, U.S. Department of Commerce" . . "https://doi.org/10.2973/dsdp.proc.23.1974" . "Initial Reports of the Deep Sea Drilling Project" . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db20 . "XXIII" . "1974"^^ . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db3 . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db4 . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db5 . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db6 . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db7 . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db8 . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db9 . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db10 . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db11 . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db12 . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db13 . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db14 . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db15 . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db16 . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db17 . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db18 . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db19 . . "1180 pp" . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db3 . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db3 "Supko" . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db3 "Peter R" . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db4 . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db4 "Manheim" . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db4 "Frank T" . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db5 . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db5 "Girdler" . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db5 "R W" . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db6 . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db6 "Coleman" . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db6 "Robert" . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db7 . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db7 "pst@gpi.uni-kiel.de" . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db7 "Stoffers" . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db7 "Peter" . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db7 . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db8 . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db8 "Siddiquie" . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db8 "H N" . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db9 . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db9 "Nigrini" . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db9 "Catherine A" . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db10 . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db10 "Matter" . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db10 "A" . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db11 . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db11 "Mallik" . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db11 "Tapas Kumar" . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db12 . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db12 "Kidd" . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db12 "Robert B" . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db13 . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db13 "Jipa" . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db13 "Dan Constantin" . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db14 . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db14 "Fleisher" . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db14 "R L" . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db15 . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db15 "Boudreaux" . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db15 "J E" . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db16 . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db16 "Ali" . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db16 "S" . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db17 . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db17 "Whitmarsh" . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db17 "Robert B" . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db18 . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db18 "Weser" . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db18 "Oscar E" . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db19 . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db19 "Ross" . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db19 "David A" . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db20 . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db20 "Initial Reports of the Deep Sea Drilling Project, U.S. Government Printing Office" . . "hdl:10013/epic.32345.d001" . "Density-porosity data - background and methods" . . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db21 . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db21 "Whitmarsh" . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db21 "Robert B" . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db22 . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db22 "Weser" . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db22 "Oscar E" . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db23 . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db23 "Ross" . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db23 "David A" . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db24 . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db24 . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db24 . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db25 . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db25 . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db25 . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db26 . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db26 "PANGAEA" . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db26 "Data Publisher for Earth & Environmental Science" . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db26 . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db27 . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db27 "PANGAEA" . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db27 "Data Publisher for Earth & Environmental Science" . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db27 . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db28 . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db28 _:genid2da48c03d4a1354009a4dda03eb3bc955b2db29 . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db29 . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db29 "1.47682E1"^^ . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db29 "4.21912E1"^^ . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db30 . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db30 "DEPTH, sediment/rock" . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db30 "m" . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db31 . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db31 "Sample code/label" . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db31 "ODP sample designation" . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db32 . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db32 "Section Top in meters below surface" . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db32 "mbsf" . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db33 . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db33 "Water content, wet mass" . _:genid2da48c03d4a1354009a4dda03eb3bc955b2db33 "%" . _:genid2dbb8a01340bdb43f2a72200b647a480762db0 . _:genid2dbb8a01340bdb43f2a72200b647a480762db0 _:genid2dbb8a01340bdb43f2a72200b647a480762db1 . _:genid2dbb8a01340bdb43f2a72200b647a480762db0 "Statista" . _:genid2dbb8a01340bdb43f2a72200b647a480762db0 . _:genid2dbb8a01340bdb43f2a72200b647a480762db1 . _:genid2dbb8a01340bdb43f2a72200b647a480762db1 . _:genid2dbb8a01340bdb43f2a72200b647a480762db2 . _:genid2dbb8a01340bdb43f2a72200b647a480762db2 _:genid2dbb8a01340bdb43f2a72200b647a480762db5 . _:genid2dbb8a01340bdb43f2a72200b647a480762db2 "UE" . _:genid2dbb8a01340bdb43f2a72200b647a480762db2 "Esta estad\u00EDstica presenta la evoluci\u00F3n del volumen de quesos de leche de vaca producidos en la Uni\u00F3n Europea entre 2013 y 2016, en miles de toneladas. Durante el periodo dado, la producci\u00F3n de quesos a partir de la leche de vaca se mantuvo de 2014 a 2016 con m\u00E1s de 9,5 toneladas." . _:genid2dbb8a01340bdb43f2a72200b647a480762db2 "Volumen de quesos de leche de vaca producidos en la UE 2013-2016" . _:genid2dbb8a01340bdb43f2a72200b647a480762db2 "productos l\u00E1cteos" . _:genid2dbb8a01340bdb43f2a72200b647a480762db2 "queso" . _:genid2dbb8a01340bdb43f2a72200b647a480762db2 "sector l\u00E1cteo" . _:genid2dbb8a01340bdb43f2a72200b647a480762db2 "leche de vaca" . _:genid2dbb8a01340bdb43f2a72200b647a480762db2 _:genid2dbb8a01340bdb43f2a72200b647a480762db3 . _:genid2dbb8a01340bdb43f2a72200b647a480762db2 "2013 - 2016" . _:genid2dbb8a01340bdb43f2a72200b647a480762db2 "False" . _:genid2dbb8a01340bdb43f2a72200b647a480762db2 . _:genid2dbb8a01340bdb43f2a72200b647a480762db3 . _:genid2dbb8a01340bdb43f2a72200b647a480762db3 _:genid2dbb8a01340bdb43f2a72200b647a480762db4 . _:genid2dbb8a01340bdb43f2a72200b647a480762db3 "Statista" . _:genid2dbb8a01340bdb43f2a72200b647a480762db3 . _:genid2dbb8a01340bdb43f2a72200b647a480762db4 . _:genid2dbb8a01340bdb43f2a72200b647a480762db4 . _:genid2dbb8a01340bdb43f2a72200b647a480762db5 . _:genid2dbb8a01340bdb43f2a72200b647a480762db5 "[data-paywallcontent]" . _:genid2dbb8a01340bdb43f2a72200b647a480762db5 "False" . _:genid2d67ed0fc6cc634b3d9935d3b3b99618fa2db0 . _:genid2d67ed0fc6cc634b3d9935d3b3b99618fa2db0 _:genid2d67ed0fc6cc634b3d9935d3b3b99618fa2db1 . _:genid2d67ed0fc6cc634b3d9935d3b3b99618fa2db0 "Statista" . _:genid2d67ed0fc6cc634b3d9935d3b3b99618fa2db0 . _:genid2d67ed0fc6cc634b3d9935d3b3b99618fa2db1 . _:genid2d67ed0fc6cc634b3d9935d3b3b99618fa2db1 . _:genid2d67ed0fc6cc634b3d9935d3b3b99618fa2db2 . _:genid2d67ed0fc6cc634b3d9935d3b3b99618fa2db2 _:genid2d67ed0fc6cc634b3d9935d3b3b99618fa2db5 . _:genid2d67ed0fc6cc634b3d9935d3b3b99618fa2db2 "Israel" . _:genid2d67ed0fc6cc634b3d9935d3b3b99618fa2db2 "Diese Statistik zeigt den Umsatz der Branche Herstellung von Futtermitteln f\u00FCr Nutztiere (SIC 10.91) in Israel in den Jahren von 2008 bis 2012 und eine Prognose von Statista bis zum Jahr 2018 (in Millionen US-Dollar). Laut der Prognose wird der Umsatz im Jahr 2018 rund 914 Millionen US-Dollar betragen." . _:genid2d67ed0fc6cc634b3d9935d3b3b99618fa2db2 "Herstellung von Futter f\u00FCr Nutztiere in Israel - Umsatzprognose bis 2018" . _:genid2d67ed0fc6cc634b3d9935d3b3b99618fa2db2 "Umsatz" . _:genid2d67ed0fc6cc634b3d9935d3b3b99618fa2db2 "Nutztiere" . _:genid2d67ed0fc6cc634b3d9935d3b3b99618fa2db2 "Prognose" . _:genid2d67ed0fc6cc634b3d9935d3b3b99618fa2db2 "Futtermittel" . _:genid2d67ed0fc6cc634b3d9935d3b3b99618fa2db2 "Umsatzprognose" . _:genid2d67ed0fc6cc634b3d9935d3b3b99618fa2db2 "Herstellung" . _:genid2d67ed0fc6cc634b3d9935d3b3b99618fa2db2 _:genid2d67ed0fc6cc634b3d9935d3b3b99618fa2db3 . _:genid2d67ed0fc6cc634b3d9935d3b3b99618fa2db2 "2008 bis 2012" . _:genid2d67ed0fc6cc634b3d9935d3b3b99618fa2db2 "False" . _:genid2d67ed0fc6cc634b3d9935d3b3b99618fa2db2 . _:genid2d67ed0fc6cc634b3d9935d3b3b99618fa2db3 . _:genid2d67ed0fc6cc634b3d9935d3b3b99618fa2db3 _:genid2d67ed0fc6cc634b3d9935d3b3b99618fa2db4 . _:genid2d67ed0fc6cc634b3d9935d3b3b99618fa2db3 "Statista" . _:genid2d67ed0fc6cc634b3d9935d3b3b99618fa2db3 . _:genid2d67ed0fc6cc634b3d9935d3b3b99618fa2db4 . _:genid2d67ed0fc6cc634b3d9935d3b3b99618fa2db4 . _:genid2d67ed0fc6cc634b3d9935d3b3b99618fa2db5 . _:genid2d67ed0fc6cc634b3d9935d3b3b99618fa2db5 ".statistic__wrapper" . _:genid2d67ed0fc6cc634b3d9935d3b3b99618fa2db5 "False" . _:genid2d246ea5af5b68495989454b28267552eb2db0 . _:genid2d246ea5af5b68495989454b28267552eb2db0 _:genid2d246ea5af5b68495989454b28267552eb2db1 . _:genid2d246ea5af5b68495989454b28267552eb2db0 "Statista" . _:genid2d246ea5af5b68495989454b28267552eb2db0 . _:genid2d246ea5af5b68495989454b28267552eb2db1 . _:genid2d246ea5af5b68495989454b28267552eb2db1 . _:genid2d246ea5af5b68495989454b28267552eb2db2 . _:genid2d246ea5af5b68495989454b28267552eb2db2 _:genid2d246ea5af5b68495989454b28267552eb2db5 . _:genid2d246ea5af5b68495989454b28267552eb2db2 "Deutschland" . _:genid2d246ea5af5b68495989454b28267552eb2db2 "Die Grafik zeigt Umfrageergebnisse zum Internetzugang von Handelsunternehmen nach Wirtschaftszweig. 0,9 Prozent des Gro\u00DFhandels benutzt einen mobilen Internetzugang." . _:genid2d246ea5af5b68495989454b28267552eb2db2 "Internetzugang von Handelsunternehmen nach Wirtschaftszweig 2008" . _:genid2d246ea5af5b68495989454b28267552eb2db2 "Internetzugang" . _:genid2d246ea5af5b68495989454b28267552eb2db2 "Handelsunternehmen" . _:genid2d246ea5af5b68495989454b28267552eb2db2 _:genid2d246ea5af5b68495989454b28267552eb2db3 . _:genid2d246ea5af5b68495989454b28267552eb2db2 "2008" . _:genid2d246ea5af5b68495989454b28267552eb2db2 "False" . _:genid2d246ea5af5b68495989454b28267552eb2db2 . _:genid2d246ea5af5b68495989454b28267552eb2db3 . _:genid2d246ea5af5b68495989454b28267552eb2db3 _:genid2d246ea5af5b68495989454b28267552eb2db4 . _:genid2d246ea5af5b68495989454b28267552eb2db3 "Statista" . _:genid2d246ea5af5b68495989454b28267552eb2db3 . _:genid2d246ea5af5b68495989454b28267552eb2db4 . _:genid2d246ea5af5b68495989454b28267552eb2db4 . _:genid2d246ea5af5b68495989454b28267552eb2db5 . _:genid2d246ea5af5b68495989454b28267552eb2db5 "[data-paywallcontent]" . _:genid2d246ea5af5b68495989454b28267552eb2db5 "False" . _:genid2d76fd6c36f1934d4eaff97e037c35614d2db0 . _:genid2d76fd6c36f1934d4eaff97e037c35614d2db0 _:genid2d76fd6c36f1934d4eaff97e037c35614d2db1 . _:genid2d76fd6c36f1934d4eaff97e037c35614d2db0 "Statista" . _:genid2d76fd6c36f1934d4eaff97e037c35614d2db0 . _:genid2d76fd6c36f1934d4eaff97e037c35614d2db1 . _:genid2d76fd6c36f1934d4eaff97e037c35614d2db1 . _:genid2d76fd6c36f1934d4eaff97e037c35614d2db2 . _:genid2d76fd6c36f1934d4eaff97e037c35614d2db2 _:genid2d76fd6c36f1934d4eaff97e037c35614d2db5 . _:genid2d76fd6c36f1934d4eaff97e037c35614d2db2 "Schweden" . _:genid2d76fd6c36f1934d4eaff97e037c35614d2db2 "Diese Statistik zeigt den durchschnittlichen Pro-Kopf-Konsum von Bier in Schweden in den Jahren 2003 bis 2015. Im Jahr 2010 wurden pro Kopf rund 50 Liter Bier konsumiert." . _:genid2d76fd6c36f1934d4eaff97e037c35614d2db2 "Pro-Kopf-Konsum von Bier in Schweden bis 2015" . _:genid2d76fd6c36f1934d4eaff97e037c35614d2db2 "Schweden" . _:genid2d76fd6c36f1934d4eaff97e037c35614d2db2 "Bier" . _:genid2d76fd6c36f1934d4eaff97e037c35614d2db2 "Pro-Kopf-Konsum" . _:genid2d76fd6c36f1934d4eaff97e037c35614d2db2 _:genid2d76fd6c36f1934d4eaff97e037c35614d2db3 . _:genid2d76fd6c36f1934d4eaff97e037c35614d2db2 "2003 bis 2015" . _:genid2d76fd6c36f1934d4eaff97e037c35614d2db2 "False" . _:genid2d76fd6c36f1934d4eaff97e037c35614d2db2 . _:genid2d76fd6c36f1934d4eaff97e037c35614d2db3 . _:genid2d76fd6c36f1934d4eaff97e037c35614d2db3 _:genid2d76fd6c36f1934d4eaff97e037c35614d2db4 . _:genid2d76fd6c36f1934d4eaff97e037c35614d2db3 "Statista" . _:genid2d76fd6c36f1934d4eaff97e037c35614d2db3 . _:genid2d76fd6c36f1934d4eaff97e037c35614d2db4 . _:genid2d76fd6c36f1934d4eaff97e037c35614d2db4 . _:genid2d76fd6c36f1934d4eaff97e037c35614d2db5 . _:genid2d76fd6c36f1934d4eaff97e037c35614d2db5 "[data-paywallcontent]" . _:genid2d76fd6c36f1934d4eaff97e037c35614d2db5 "False" . _:genid2d378002102874424790f1fd1cbd99de642db0 . _:genid2d378002102874424790f1fd1cbd99de642db0 _:genid2d378002102874424790f1fd1cbd99de642db1 . _:genid2d378002102874424790f1fd1cbd99de642db0 "Statista" . _:genid2d378002102874424790f1fd1cbd99de642db0 . _:genid2d378002102874424790f1fd1cbd99de642db1 . _:genid2d378002102874424790f1fd1cbd99de642db1 . _:genid2d378002102874424790f1fd1cbd99de642db2 . _:genid2d378002102874424790f1fd1cbd99de642db2 _:genid2d378002102874424790f1fd1cbd99de642db5 . _:genid2d378002102874424790f1fd1cbd99de642db2 "R\u00E9publique tch\u00E8que" . _:genid2d378002102874424790f1fd1cbd99de642db2 "Cette statistique montre le chiffre d&amp;#039;affaires du march\u00E9 des \u00E9crans et projecteurs en R\u00E9publique tch\u00E8que de 2016 \u00E0 2021. En 2016 le chiffre d&amp;#039;affaires des \u00E9crans et projecteurs \u00E9tait de 94,9 millions de dollars. Le march\u00E9 devrait atteindre une valeur d&amp;#039;environ 91,8 millions de dollars d&amp;#039;ici 2021. Pour plus d&amp;#039;informations sur notre m\u00E9thodologie, les d\u00E9finitions des segments et l&amp;#039;\u00E9tendue de notre mod\u00E8le, veuillez cliquer ici." . _:genid2d378002102874424790f1fd1cbd99de642db2 "CA du march\u00E9 des \u00E9crans et projecteurs en R\u00E9publique tch\u00E8que 2016-2021" . _:genid2d378002102874424790f1fd1cbd99de642db2 "chiffre d&#039;affaires" . _:genid2d378002102874424790f1fd1cbd99de642db2 "\u00E9cran pc" .