82,836 Works

WAFFLE Experiment

Elliot Simon & Guillaume Lea
The WAFFLE campaign is a short field experiment originally conducted to provide data for initial investigations into minute-scale wind forecasting.
A single long-range scanning lidar was deployed behind DTU's V52 research wind turbine at Risø test site in Denmark. Plan position indicator (PPI) scans were performed facing west to measure the dominant inflow to the test site.
This dataset was used in an applied workshop at the EAWE PhD seminar in Belgium. The presentation file and code...

Perdigão-2015: multi-lidar flow mapping over the complex terrain site including the wind turbine inflow and wake measurements

Nikola Vasiljevic, Nikolas Angelou & Guillaume Lea
This dataset has been recorded by three long-range WindScanners and three short-range WindScanners during the Perdigão 2015 campaign. For the campaign which took place in central Portugal near the village of Perdigão three scanners were located on two mountain ridges that run in parallel for about 2 km. The scanners carried out six synchronized scanning scenarios: a transect scan perpendicular to the ridges; a virtual mast within the valley; a scan following a transect 80...

Perdigão-2015: multi-lidar flow mapping over the complex terrain site including the wind turbine inflow and wake measurements

Nikola Vasiljevic, Nikolas Angelou & Guillaume Lea
This dataset has been recorded by three long-range WindScanners and three short-range WindScanners during the Perdigão 2015 campaign. For the campaign which took place in central Portugal near the village of Perdigão three scanners were located on two mountain ridges that run in parallel for about 2 km. The scanners carried out six synchronized scanning scenarios: a transect scan perpendicular to the ridges; a virtual mast within the valley; a scan following a transect 80...

A data set for comparison of sector-scan and dual-Doppler retrievals of horizontal wind speed and wind direction made using multiple scanning lidars

Nikola Vasiljevic, Guillaume Lea & Michael Courtney
Acquiring actual wind velocities at potential wind farm sites is an important way of reducing the uncertainty in estimates obtained from meso-scale models. Since costs of offshore meteorological masts are high, ground based scanning lidars installed on-shore could be a cost-attractive way of acquiring necessary information about the wind velocity in near-coastal regions (up to about 10km). One important decision is whether to use one sector-scanning scanning lidar or two separated scanning lidars employing dual-Doppler...

Østerild Balconies Experiment (Phase 2)

Elliot Simon & Nikola Vasiljevic
This dataset includes measurements from the two scanning lidars which were deployed in phase 2 of the Balconies Experiment at DTU’s Østerild Test Centre in Western Denmark during the summer of 2016.
Two DTU long-range WindScanners were installed on purpose-built platforms attached to instrumented aircraft warning towers at the north and south ends of the test site at a height of 200 m above ground level (AGL). The lidars were configured to perform 90 degree...

Steady State Comparisons HAWC2 v12.5 vs HAWCStab2 v2.14

David Robert Verelst, Morten Hartvig Hansen & Georg Pirrung
Input and result files for generating a steady state comparison between HAWC2 and HAWCStab2 using the DTU10MW aeroelastic model. Also the scripts that are used to automatize this comparison are available.

LASCAR Experiment

Elliot Simon & Guillaume Lea
The LASCAR campaign is a field experiment originally conducted to provide data for building and testing lidar based minute-scale forecasting models. The measurement goal was to capture the dominant westerly inflow to the Risø test site.
This was achieved by deploying 3 scanning lidars in a compact area surrounding building 313 at Risø. One unit (Sirocco) was stationed on the roof of the building and performed fast (13 s/scan) repeating PPI scans facing west with an...

Perdigão-2017: multi-lidar flow mapping over the complex terrain site

Robert Menke, Jakob Mann & Nikola Vasiljevic
This dataset has been recorded by eight long-range WindScanners that were deployed during the Perdigão 2017 campaign. For the campaign which took place in central Portugal near the village of Perdigão eight scanners were located on two mountain ridges that run in parallel for about 2 km. The scanners carried out three synchronized scanning scenarios: transect scans at three positions perpendicular to the ridge with two scanners at two transects and one transect with four...

Perdigão-2017: multi-lidar flow mapping over the complex terrain site

Robert Menke, Jakob Mann & Nikola Vasiljevic
This dataset has been recorded by eight long-range WindScanners that were deployed during the Perdigão 2017 campaign. For the campaign which took place in central Portugal near the village of Perdigão eight scanners were located on two mountain ridges that run in parallel for about 2 km. The scanners carried out three synchronized scanning scenarios: transect scans at three positions perpendicular to the ridge with two scanners at two transects and one transect with four...

Steady State Comparisons HAWC2 v12.5 vs HAWCStab2 v2.14

David Robert Verelst, Morten Hartvig Hansen & Georg Pirrung
Input and result files for generating a steady state comparison between HAWC2 and HAWCStab2 using the DTU10MW aeroelastic model. Also the scripts that are used to automatize this comparison are available.

Østerild Balconies Experiment (Phase 2)

Elliot Simon & Nikola Vasiljevic
This dataset includes measurements from the two scanning lidars which were deployed in phase 2 of the Balconies Experiment at DTU’s Østerild Test Centre in Western Denmark during the summer of 2016.
Two DTU long-range WindScanners were installed on purpose-built platforms attached to instrumented aircraft warning towers at the north and south ends of the test site at a height of 200 m above ground level (AGL). The lidars were configured to perform 90 degree...

A data set for comparison of sector-scan and dual-Doppler retrievals of horizontal wind speed and wind direction made using multiple scanning lidars

Nikola Vasiljevic, Guillaume Lea & Michael Courtney
Acquiring actual wind velocities at potential wind farm sites is an important way of reducing the uncertainty in estimates obtained from meso-scale models. Since costs of offshore meteorological masts are high, ground based scanning lidars installed on-shore could be a cost-attractive way of acquiring necessary information about the wind velocity in near-coastal regions (up to about 10km). One important decision is whether to use one sector-scanning scanning lidar or two separated scanning lidars employing dual-Doppler...

TREND: Organisation for Economic Co-operation and Development (OECD). OECD Factbook 2014: Economic, Environmental and Social Statistics: Health - Life Expectancy | Country: United Kingdom | Socioeconomic Indicator: Average Hours Actually Worked, Life Expectancy at Birth: Women, 1970 - 2012. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 062-001-037Organisation for Economic Co-operation and Development (OECD). OECD Factbook 2014: Economic, Environmental and Social Statistics: Labor - Hours Worked | Country: United Kingdom | Socioeconomic Indicator: Average Hours Actually Worked, Life Expectancy at Birth: Women, 1970 - 2012. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 062-001-045

Organisation for Economic Co-operation and Development (OECD). OECD Factbook 2014: Economic, Environmental and Social Statistics: Health - Life Expectancy | Country: United Kingdom | Socioeconomic Indicator: Average Hours Actually Worked, Life Expectancy at Birth: Women, 1970 - 2012. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 062-001-037 Dataset: Presents life expectancy from birth for men and women (and total) in terms of number of years. This dataset provides indicators included in the OECD Factbook 2014:...

TREND: Bureau of Transportation Statistics. Airline Performance - Arrivals: Airline Arrivals On-Time (%), 1987 - 2017. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 007-001-001

Bureau of Transportation Statistics. Airline Performance - Arrivals: Airline Arrivals On-Time (%), 1987 - 2017. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 007-001-001 Dataset: A flight is counted as "on time" if it operated less than 15 minutes later the scheduled time shown in the carriers' Computerized Reservations Systems (CRS). Arrival performance is based on arrival at the gate. Airline on-time data are reported each month to the United States Department of Transportation (DOT),...

TREND: Bureau of Transportation Statistics. Airline Performance - Arrivals: Airline Arrivals On-Time (%), 01/2012 - 12/2016. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 007-001-001

Bureau of Transportation Statistics. Airline Performance - Arrivals: Airline Arrivals On-Time (%), 01/2012 - 12/2016. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 007-001-001 Dataset: A flight is counted as "on time" if it operated less than 15 minutes later the scheduled time shown in the carriers' Computerized Reservations Systems (CRS). Arrival performance is based on arrival at the gate. Airline on-time data are reported each month to the United States Department of Transportation (DOT),...

TREND: Bureau of Labor Statistics. Employment and Unemployment - Seasonally Adjusted: Unemployment Rate - Seasonally Adjusted | State: New York, Pennsylvania, 01/1976 - 12/2017. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 002-001-001

Bureau of Labor Statistics. Employment and Unemployment - Seasonally Adjusted: Unemployment Rate - Seasonally Adjusted | State: New York, Pennsylvania, 01/1976 - 12/2017. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 002-001-001 Dataset: The unemployment rate represents the number unemployed as a percent of the labor force. Seasonally adjusted estimates are provided for total employment, unemployment, and the unemployment rate. Seasonal adjustment removes the effects of events that follow a more or less regular pattern...

Design and Analog VLSI Implementation of Artificial Neural Network

Nature has evolved highly advanced systems capable of performing complex computations, adoption and learning using analog computations. Furthermore nature has evolved techniques to deal with imprecise analog computations by using redundancy and massive connectivity. In this paper we are making use of Artificial Neural Network to demonstrate the way in which the biological system processes in analog domain. We are using 180nm CMOS VLSI technology for implementing circuits which performs arithmetic operations and for implementing...

TREND: World Bank. World Development Indicators: Health | Country: United States | Socioeconomic Indicator: Birth rate, crude (per 1,000 people), 1960 - 2015. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 051-001-039

World Bank. World Development Indicators: Health | Country: United States | Socioeconomic Indicator: Birth rate, crude (per 1,000 people), 1960 - 2015. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 051-001-039 Dataset: The 91 Health indicators include metrics on disease prevention, health services, mortality, nutrition, population dynamics and structure, reproductive health, and health risk factors. For World Bank definitions of each indicator included here, see http://statisticaldatasets.data-planet.com.proxy.lib.umich.edu/DSCites/WDIHE.pdf . The World Bank provides broad and open access...

Poractant alfa in respiratory distress syndrome in preterm infants: a guide to its use

Kate McKeage & Katherine Lyseng-Williamson
Compliance with ethical standards
Funding: The preparation of this review was not supported by any external funding.
Conflicts of interest: K. McKeage and K.A. Lyseng-Williamson are employees of Adis/Springer, are responsible for the article content and declare no conflicts of interest. Additional information about this Adis Drug Review can be found here.
Abstract
Poractant alfa (Curosurf®) is a natural, porcine-derived surfactant that is well established as an effective and generally well-tolerated agent in the treatment of respiratory distress syndrome...

TREND: Bureau of Economic Analysis. Regional GDP Metrics by NAICS Codes (1997 - Current): Real Gross Domestic Product (GDP) per Capita | State: Alabama, Alaska, Arizona, Arkansas, California, Colorado, Connecticut, Delaware, Florida, Georgia, Hawaii, Idaho, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, Ohio, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, Washington, Washington DC, West Virginia, Wisconsin, Wyoming | Industry: All industry total, 1997 - 2016. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 003-002-008

Bureau of Economic Analysis. Regional GDP Metrics by NAICS Codes (1997 - Current): Real Gross Domestic Product (GDP) per Capita | State: Alabama, Alaska, Arizona, Arkansas, California, Colorado, Connecticut, Delaware, Florida, Georgia, Hawaii, Idaho, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, Ohio, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Utah,...

Trend 2003/3 - 2015/4. United States Office of Personnel Management. United States Federal Government: Civilian Employment: Average Salary | Country: USA | Agency: All Agencies | Sub Agency: BUREAU OF ALCOHOL, TOBACCO, FIREARMS, AND EXPLOSIVES | Age Group: All Age Groupings | Gender: All Genders | Occupational Group: * All Occupational Groups | Occupation: * All Occupations, 2003/3-2015/4. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 066-003-002.

United States Office of Personnel Management (2018). United States Federal Government: Civilian Employment: Average Salary | Country: USA | Agency: All Agencies | Sub Agency: BUREAU OF ALCOHOL, TOBACCO, FIREARMS, AND EXPLOSIVES | Age Group: All Age Groupings | Gender: All Genders | Occupational Group: * All Occupational Groups | Occupation: * All Occupations, 2003/3-2015/4. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. [Data-file]. Dataset-ID: 066-003-002. Dataset: Presents the average salary of civilian employees of...

Trend 2005 - 2015. Office of Postsecondary Education. College Athletics: Total Operating (Game-Day) Expenses | Country: USA | State: Kansas | Institutions by State: McPherson College | Collegiate Sport: Volleyball | Variable: Total Exp. Men and Women, 2005-2015. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 069-001-003.

Office of Postsecondary Education (2018). College Athletics: Total Operating (Game-Day) Expenses | Country: USA | State: Kansas | Institutions by State: McPherson College | Collegiate Sport: Volleyball | Variable: Total Exp. Men and Women, . Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. [Data-file]. Dataset-ID: 069-001-003. Dataset: Presents statistics on all expenses an institution incurs attributable to home, away, and neutral-site intercollegiate athletic contests (commonly known as game-day expenses), for lodging, meals, transportation, uniforms, and...

Trend 2005 - 2016. National Center for Education Statistics. Completions - Postsecondary Education: Master's Degrees | Country: USA | Classification of Instructional Programs (CIP) Category: ALL CIP GROUPS | CIP Code: 9999 | Classification of Instructional Programs (CIP): All Degrees | Gender: All Gender | Race: Hispanic | Degree Number: First Degree and Multiple Degrees, 2005-2016. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 017-004-003.

National Center for Education Statistics (2018). Completions - Postsecondary Education: Master's Degrees | Country: USA | Classification of Instructional Programs (CIP) Category: ALL CIP GROUPS | CIP Code: 9999 | Classification of Instructional Programs (CIP): All Degrees | Gender: All Gender | Race: Hispanic | Degree Number: First Degree and Multiple Degrees, 2005-2016. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. [Data-file]. Dataset-ID: 017-004-003. Dataset: An award that requires the successful completion of a program...

TREND: National Bureau of Statistics of China, China Data Center, University of Michigan. China Yearly Statistics (National/Provincial/City/County): National Accounts | Province: Guangdong | City: Chaozhou City, Conghua City, Dongguan City, Enping City, Foshan City, Gaoyao City, Gaozhou City, Guangzhou City, Heshan City, Heyuan City, Huazhou City, Huizhou City, Jiangmen City, Jieyang City, Kaiping City, Lechang City, Leizhou City, Lianjiang City, Lianzhou City, Lufeng City, Luoding City, Maoming City, Meizhou City, Nanxiong City, Puning City, Qingyuan City, Shantou City, Shanwei City, Shaoguan City, Shenzhen City, Sihui City, Taishan City, Wuchuan City, Xingning City, Xinyi City, Yangchun City, Yangjiang City, Yingde City, Yunfu City, Zengcheng City, Zhanjiang City, Zhaoqing City, Zhongshan City, Zhuhai City | GroupCode: 0402.b0101, 040201.b0101, 040202.b0101, 04020201.b0101, 04020202.b0101, 040203.b0101, 040403.b0101, 04040301.b0101, 04040302.b0101, 0404030201.b0101, 0404030202.b0101, 04040303.b0101, 0405.b0101, 040603.b0101 | Socioeconomic Indicator: GDP - Current period value, GDP of Primary Industry - Current period value, GDP of Secondary Industry - Current period value, Value-added of Industry - Current period value, Value-added of Construction - Current period value, GDP of Tertiary Industry - Current period value, Indices of GDP (preceding year=100) - Current period value, Indices of GDP of Primary Industry (preceding year=100) - Current period value, Indices of GDP of Secondary Industry (preceding year=100) - Current period value, Indices of Value-added of Industry (preceding year=100) - Current period value, Indices of Value-added of Construction (preceding year=100) - Current period value, Indices of GDP of Tertiary Industry (preceding year=100) - Current period value, Per Capita GDP - Current period value, Indices of Per Capita GDP (preceding year =100) - Current period value, 1990 - 2015. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 035-002-003

University Of Michigan China Data Center
National Bureau of Statistics of China, China Data Center, University of Michigan. China Yearly Statistics (National/Provincial/City/County): National Accounts | Province: Guangdong | City: Chaozhou City, Conghua City, Dongguan City, Enping City, Foshan City, Gaoyao City, Gaozhou City, Guangzhou City, Heshan City, Heyuan City, Huazhou City, Huizhou City, Jiangmen City, Jieyang City, Kaiping City, Lechang City, Leizhou City, Lianjiang City, Lianzhou City, Lufeng City, Luoding City, Maoming City, Meizhou City, Nanxiong City, Puning City, Qingyuan City,...

TREND: National Bureau of Statistics of China, China Data Center, University of Michigan. China Yearly Statistics (National/Provincial/City/County): National Accounts | Province: Guizhou | City: Anshun City, Bijie City, Chishui City, Duyun City, Fuquan City, Guiyang City, Kaili City, Liupanshui City, Qingzhen City, Renhuai City, Tongren City, Xingyi City, Zunyi City | GroupCode: 0402.b0101, 040201.b0101, 040202.b0101, 04020201.b0101, 040203.b0101, 040403.b0101, 04040301.b0101, 04040302.b0101, 0404030201.b0101, 04040303.b0101, 0405.b0101, 040603.b0101 | Socioeconomic Indicator: GDP - Current period value, GDP of Primary Industry - Current period value, GDP of Secondary Industry - Current period value, Value-added of Industry - Current period value, GDP of Tertiary Industry - Current period value, Indices of GDP (preceding year=100) - Current period value, Indices of GDP of Primary Industry (preceding year=100) - Current period value, Indices of GDP of Secondary Industry (preceding year=100) - Current period value, Indices of Value-added of Industry (preceding year=100) - Current period value, Indices of GDP of Tertiary Industry (preceding year=100) - Current period value, Per Capita GDP - Current period value, Indices of Per Capita GDP (preceding year =100) - Current period value, 1990 - 2015. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 035-002-003

University Of Michigan China Data Center
National Bureau of Statistics of China, China Data Center, University of Michigan. China Yearly Statistics (National/Provincial/City/County): National Accounts | Province: Guizhou | City: Anshun City, Bijie City, Chishui City, Duyun City, Fuquan City, Guiyang City, Kaili City, Liupanshui City, Qingzhen City, Renhuai City, Tongren City, Xingyi City, Zunyi City | GroupCode: 0402.b0101, 040201.b0101, 040202.b0101, 04020201.b0101, 040203.b0101, 040403.b0101, 04040301.b0101, 04040302.b0101, 0404030201.b0101, 04040303.b0101, 0405.b0101, 040603.b0101 | Socioeconomic Indicator: GDP - Current period value, GDP of Primary Industry...

Registration Year

  • 2018
    82,836

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  • Other
    82,836