cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/ca1a92c63e57993a09111f1e33dc9210
title: SBC LTER: Reef: Kelp Forest Community Dynamics: Cover of sessile organisms, Uniform Point Contact

description: These data describe the cover of sessile invertebrates, understory macroalgae, and bottom substrate types as determined by a uniform point contact method. The presence of over 150 taxa of sessile invertebrates and macroalgae are recorded at 80 uniformly spaced points along permanent 40m x 2m transects. Multiple species can be recorded at any given point. Percent cover of a given species on a transect can be estimated from UPC observations as the fraction of total points at which that species was present x 100. The total percent cover of all species combined using this method can exceed 100%; however, the percent cover of any single species cannot exceed 100%. These data are part of SBC LTERs kelp forest monitoring program, which began in 2000 and was designed to track long-term patterns in species abundance and diversity of reef-associated organisms in the Santa Barbara Channel, California, USA, The sampling locations in this dataset include nine reef sites along the mainland coast of the Santa Barbara Channel and at two sites on the north side of Santa Cruz Island. These sites reflect several oceanographic regimes in the channel and vary in distance from sources of terrestrial runoff. Data collection began in 2000 and this dataset is updated annually.
DOI: 10.6073/pasta/b718d36c4c0c3c6ef1eea5dbbdc77074
title: PIE LTER Eddy flux measurements during 2017 from second high marsh site (Spartina patens/short Spartina alterniflora) Tall Tower off Nelson Island Creek, Rowley, Massachusetts

description: We deployed an eddy covariance system to measure ecosystem-atmosphere exchange of CO2 above a high marsh system (Spartina patens, short Spartina alterniflora) located on the Parker River Wildlife Refuge in marshes of Plum Island Sound, Rowley MA. The system is located near a higher elevation rock outcroppingprotected area which allows the tower set up to remain during the Winter as it is protected from ice flows. The data represents CO2 exchange for all 12 months of 2017.
DOI: 10.6073/pasta/f039a76cf0dff2f8033ce930de9b8c3d
title: Aboveground biomass data from control sites in a Spartina alterniflora-dominated salt marsh at Law's Point, Rowley River, Plum Island Ecosystem LTER, MA.

description: Aboveground biomass is determined non-destructively at permanent, high marsh control (non-fertilized) plots in a Spartina alterniflora-dominated salt marsh on the Rowley River within the Plum Island Ecosystem (PIE) LTER site, MA.
DOI: 10.6073/pasta/d1eb97f4d8c4f533a2f30d160b6c9cc8
title: Baltimore Ecosystem Study: Household Telephone Survey in support of Locke et al 2019 in PLoS One

description: This is a subset of the data found in Grove and Locke (2018), to be included with: Locke, D.H., Polsky, C., Grove, J. M., Groffman, P. M., Nelson, K.C., Larson, K. L., Cavender-Bares, J., Heffernan, J. B., Roy Chowdhury, R., Hobbie, S. E., Bettez, N., Neill, C., Ogden, L.A., O’Neil-Dunne, J. P. M.. [accepted]. Heterogeneity of practice underlies the homogeneity of ecological outcomes of United States yard care in metropolitan regions, neighborhoods and households. PLoS ONE doi:10.1371/journal.pone.0222630 These data contain answers 2011 survey questions: In the past year, which of the following has been applied to any part of your yard: Water for irrigating grass, plants, or trees? Fertilizers? Pesticides to get rid of weeds or pests? The total household annual income (8 ordinal categories), age of respondent (5 ordinal categories), and the answer to: About how many neighbors do you know by name? (recorded in 5 ordinal categories). Two additional columns are provided to indicate the metropolitan region of the respondent (one of the following six: Phoenix, Los Angeles, Minneapolis - St. Paul, Baltimore, Boston, or Miami) and the degree of urbanicity in that region (Urban, Suburban, or Exurban). See Grove and Locke 2018 for additional details. This research is supported by the Macro- Systems Biology Program (US NSF) under Grants EF-1065548, -1065737, -1065740, -1065741, -1065772, -1065785, -1065831, and -121238320 and the NIFA McIntire-Stennis 1000343 MIN-42-051. The work arose from research funded by grants from the NSF LTER program for Baltimore (DEB- 0423476, DEB-1027188); Phoenix (BCS-1026865, DEB-0423704, DEB-9714833, DEB-1637590, DEB-1832016); Plum Island, Boston (OCE-1058747 and 1238212); Cedar Creek, Minneapolis–St. Paul (DEB- 0620652); and Florida Coastal Everglades, Miami (DBI-0620409). Edna Bailey Sussman Foundation, Libby Fund Enhancement Award and the Marion I. Wright ‘46 Travel Grant at Clark University, The Warnock Foundation, the USDA Forest Service Northern Research Station, Baltimore and Philadelphia Field Stations, and the DC-BC ULTRA-Ex NSF-DEB-0948947 also provided support. This work was supported by the National Socio-Environmental Synthesis Center (SESYNC) under funding received from the National Science Foundation DBI-1052875. Anonymous reviewers supplied constructive feedback that helped to improve this paper. The findings and opinions reported here do not necessarily reflect those of the funders of this research. Citations: Grove J.M., Locke, D.H.. (2018). BES Household Telephone Survey. Environmental Data Initiative. https://doi.org/10.6073/pasta/5a4fc7bfa199f3d63748f0853ae073a0.
DOI: 10.5285/c6202511-d70b-45ae-9b72-ff30f4888f5f
title: Acceleration of electrons by whistler-mode hiss waves at Saturn

description: Radiation belts are hazardous regions found around several of the planets in our Solar System. They consist of very hot, electrically charged particles that are trapped in the magnetic field of the planet. At Saturn the most important way to heat these particles has for many years been thought to involve the particles drifting closer towards the planet. This paper builds on previous work on the emerging idea at Saturn that a different way to heat the particles is also possible where the heating is done by waves, in a similar way to what we find at the Earth. This work is reported in the paper "Acceleration of electrons by whistler-mode hiss waves at Saturn" by E.E. Woodfield et al., 2021. The data provided here enable reconstruction of all the figures in the paper. E.E.W., R.B.H., and S.A.G. were funded by STFC grant ST/S000496/1. R.B.H., S.A.G. and A.J.K. were funded by NERC grant NE/R016038/1 and R.B.H. and S.A.G. by NERC grant NE/R016445/1. J.D.M. and Y.Y.S. were supported by NASA grants NNX11AM36G and NNX16AI47G. University of Iowa (J.D.M.) was supported by NASA contract 1415150 with JPL. Y.Y.S. was supported by EC grant H2020 637302.
description: The data archived here is from figures 2, 3 and 4 in "Acceleration of electrons by whistler-mode hiss waves at Saturn" by E.E. Woodfield et al., 2021 and consists of model and simulation data used to create those figures. Full details of the analysis and simulations are in the aforementioned paper and data format description is within the files.
description: The data is model output and has no intrinsic accuracy estimates.
DOI: 10.25934/pr00005699.0
title: Available IPD datapackage for study 'A Phase II, Multicenter, Randomized, Non-Comparative Clinical Trial to Evaluate the Efficacy and Safety of Bevacizumab Alone or in Combination With Irinotecan for Treatment of Glioblastoma Multiforme in First or Second Relapse'

description: This is a Phase II, open-label, multicenter, randomized, non comparative study consisting of two concurrent single-arms. Approximately 160 subjects will be randomized in a 1:1 ratio to Arm 1 (bevacizumab alone) or Arm 2 (bevacizumab + irinotecan).
DOI: 10.5066/f7ws8s6v
title: Site bathymetry, water temperature and rating curve 2004 and 2005 data for 3 sites in the Delaware River mainstem

description: Data were obtained in order to develop bathymetric maps, rating curve relationships between site stage and river flow conditions, and water temperature to better understand the habitat needs of the dwarf wedgemussel, Alasmidonta heterodon, to inform conservation of the species and management of the river. Data are included from three parts of the research in the Delaware River focusing on three sites known to support populations of Alasmidonta heterodon (dwarf wedgemussel). Site Rating Curve Data was data used to create unique river stage to river discharge models for each of three sites used to model how site conditions varied compared to USGS River Gage conditions. Site Bathymetry and Water Depth data were used to create river bottom topography and water depth maps for the three sites. A compilation of 6pm river temperature data were used to create temperature prediction models for each of the three sites.
DOI: 10.25934/pr00005702.1
title: Available IPD datapackage for study 'An Observational Study of Avastin (Bevacizumab) in Combination With Chemotherapy for Treatment of Metastatic or Locally Advanced and Unresectable Colorectal Cancer and Locally Advanced or Metastatic Non-Small Cell Lung Cancer (Excluding Predominant Squamous Cell Histology)'

description: This is an observational study designed to follow patients with metastatic or locally advanced and unresectable CRC or locally advanced or metastatic NSCLC (excluding predominant squamous histology) who are receiving Avastin in combination with first-line chemotherapy. Second-line metastatic CRC patients are also eligible. Patients who started their Avastin containing therapy <4 months prior to enrollment are eligible.
DOI: 10.17632/g7nb7b9ys7.1
title: Flow_Optimization

description: This Contains codes for Flow optimization, where the flows of four pies are encoded as genes and a genetic algorithm Search s for the best flow combination that results in the least summation of the pressure drop for every loop in both compressors stations.
DOI: 10.17632/vm4dvpxxdy.1
title: Rapid synchronous type 1 IFN and virus-specific T cell responses characterize first wave non-severe SARS-CoV-2 infections. Chandran et al.

description: Supplemental Data S1- results of upstream regulator analysis of enriched blood transcripts associated with PCR positive SARS-CoV-2 infection.
Supplemental Data S2- in vivo expanded TCRs associated with PCR positive SARS-CoV-2 infection matched to SARS-CoV-2 reactive TCRs in VDJdb.
DOI: 10.17632/gpw4yt3bv2.2
title: SIR Model NWS

description: The research explores the dynamics of COVID-19 outbreak in a conflict-affected area, Northwest Syria NWS, from July 2020 to March 2021 using the SIR model. The model was adjusted by the factor of "using face masks" to explore the changes in the outbreak dynamics based on the Ordinary Differential Equation of SIR and to verify the impact of using face masks on controlling and minimizing the transmission rates of the disease. Our findings indicate that applying the SIR model without considering available preventive measures might lead to overestimated figures regarding the number of infected cases. However, when adjusting the model with the factor of "wearing face masks" the resultant figures and number in terms of the number of infected cases were more acceptable and realistic. The research adds information on applying the SIR model after considering a preventive measure "face masks" which is the most viable and applicable measure in emergency settings.
DOI: 10.17632/6zth8gytm4.1
title: Speed_Optimization

description: This contains codes for determining the optimum speed for six compressors for a gas network, the flow rates were obtained from the first simulation which is the flow simulation, the flow will remain constant during the simulation.

The hypothesis is that compressor speed determines fuel consumption. The speed is encoded as genes and the fuel consumption is the objective function
A genetic algorithm was used to search for the optimum speed for the compressors, that fulfill the objective function. 
From the simulation, the data showed that a genetic algorithm can be used to determine the sets of speed that give the minimum fuel consumption and is subjected to the constraint which is the pressure range at the demand point.
DOI: 10.17632/34znc6vj9m.1
title: Skin Cancer Transportation Barriers to Healthcare - Supplement

description: Supplemental materials for manuscript "Prevalence and predictors of transportation barriers to healthcare among U.S. adults with a history of skin cancer"
DOI: 10.17632/zpkwb3mvdt.1
title: Zircon data for samples in the Hengshanli granitic gneiss dome

description: Zircon LA-ICP-MS U–Pb data for samples in the Hengshanli granitic gneiss dome
DOI: 10.17632/6bycgdd9tp.1
title: Supplementary Files, Gihyun Lee et al.

description: Supplementary files for bioprinting of heterogeneous and multilayered cell–hydrogel constructs using continuous multi-material printing and aerosol-based crosslinking technologies, Gihyun Lee et al.
DOI: 10.17632/3x96mp2m93.2
title: Meteorological data for Seonamsa temple in Korea

description: Meteorological data collected from Seonamsa Temple located in Suncheon-si, Jeollanam-do, Republic of Korea. It was collected hourly for 5 years from May 28, 2015 to May 21, 2020. Temperature, Humidity, Dew Point Temperature, Wind Speed, Wind Direction, Barometer, Precipitation, Solar Radiation, UV Index, UV Dose, Evaporation are included.
DOI: 10.17632/w25zm9cn6x.1
title: Make war not love: the neural substrate underlying a state-dependent switch in female social behavior. Liu et al.

description: Act-seq (10x) data in female ventral VMH, from Liu et al.
DOI: 10.17632/gpytf8x3ys.1
title: A multimodal approach to chaotic renewable energy prediction using meteorological and historical information

description: Wind energy, which exhibits non-stationarity, randomness, and intermittency, is inextricably linked to meteorological data. The wind power series can be broken down into several subsequences using data decomposition techniques to make forecasting simpler and more accurate. Because of this, a single prediction model does not perform well in extracting hidden information from each subsequence. To predict different frequency series, this research employed shallow and deep learning models and proposed an improved hybrid wind power prediction model based on secondary decomposition, extreme learning machines (ELM), convolutional neural networks (CNN), and bidirectional long short-term memory (BiLSTM). To begin, secondary decomposition was employed to break down the wind power series into several components. The ELM was used to forecast the low-frequency components. Following that, CNN was utilized to reintegrate the input characteristics of the high-frequency components, followed by BiLSTM prediction. Finally, the forecasting values for each component were added to generate the final prediction results.


Requirements:
Python 3.6.x
TensorFlow 1.19.0
Numpy 1.19.5
Pandas 1.0.5
Keras 2.2.5
scikit-learn 0.23.1
Matplotlib 3.2.2


Reference: 
The detailed information of CEEMDAN and VMD are shown in:
https://github.com/vrcarva/vmdpy
https://github.com/laszukdawid/PyEMD


Data availability:
Supplementary data to this research can be found online at https://opendata-renewables.engie.com
DOI: 10.17632/xk89sxzr8y.2
title: Meteorological data for Beopjusa Temple in Korea

description: Meteorological data collected from Beopjusa Temple located in Boeun, Chungcheongbuk-do, South Korea. It was collected every hour for 5 years from May 26, 2015 to May 25, 2020. Temperature, Humidity, Dew Point Temperature, Wind Speed, Wind Direction, Barometer, Precipitation, Solar Radiation, UV Index, UV Dose, Evaporation are included.
DOI: 10.5281/zenodo.5841593
title: Dictionaries of integers to array of integers - dataset for testing reading speed of irregular files

description: Generated by https://github.com/abelsiqueira/faster-python-using-julia-blogposts/blob/03a8d5a1a5fb99fa9071b3a5980eaa627ed7b4d9/post3/src/julia/gen_dataset.jl Example file: <pre><code>1#1024 271#31,32,33,301 403#99,105</code></pre>
DOI: 10.5281/zenodo.5841592
title: Dictionaries of integers to array of integers - dataset for testing reading speed of irregular files

description: Generated by https://github.com/abelsiqueira/faster-python-using-julia-blogposts/blob/03a8d5a1a5fb99fa9071b3a5980eaa627ed7b4d9/post3/src/julia/gen_dataset.jl Example file: <pre><code>1#1024 271#31,32,33,301 403#99,105</code></pre>
DOI: 10.25345/c54c6t
title: MassIVE MSV000088675 - Middle Island Sinkhole Microbial Mat - Seasonality
title: Samples from benthic phototrophic microbial mats of Middle Island Sinkhole, Lake Huron, MI, USA. Peptides labeled in vitro for quantitative analysis by diDO-IPTL (Waldbauer et al. 2017 Anal. Chem.).
DOI: 10.5281/zenodo.5841432
title: Data for: Prior exposure of a fungal parasite to cyanobacterial extracts does not impair infection of its Daphnia host

description: This dataset supports the findings of the unpublished study 'Prior exposure of a fungal parasite to cyanobacterial extracts does not impair infection of its <em>Daphnia</em> host', currently submitted for review in Hydrobiologia (Springer).
DOI: 10.5281/zenodo.5816186
title: cartoGRAPHs-sourcedata

description: Source Data for the cartoGRAPHs python module. Please find more information here: https://github.com/menchelab/CartoGRAPHs
DOI: 10.5281/zenodo.5841472
title: Dotazníkové šetření: Analýza správy a ukládání výzkumných dat na Univerzitě Karlově

description: Podkladová data dotazníkového šetření <em>Analýza správy a ukládání výzkumných dat na Univerzitě Karlově</em>, které probíhalo v období od 8. 6. do 18. 7. 2021 na Univerzitě Karlově. Cílem dotazníkového šetření bylo zmapovat aktuální praxi a potřeby vědců v oblasti správy výzkumných dat.
DOI: 10.5281/zenodo.5841471
title: Dotazníkové šetření: Analýza správy a ukládání výzkumných dat na Univerzitě Karlově

description: Podkladová data dotazníkového šetření <em>Analýza správy a ukládání výzkumných dat na Univerzitě Karlově</em>, které probíhalo v období od 8. 6. do 18. 7. 2021 na Univerzitě Karlově. Cílem dotazníkového šetření bylo zmapovat aktuální praxi a potřeby vědců v oblasti správy výzkumných dat.
DOI: 10.5517/ccdc.csd.cczfq25
title: CCDC 906907: Experimental Crystal Structure Determination

description: Related Article: Reza Takjoo, Grzegorz Dutkiewicz, Maciej Kubicki|2019|CSD Communication|||
DOI: 10.25505/fiz.icsd.cc230kj7
title: CSD 1936958: Experimental Crystal Structure Determination

description: Related Article: Yu Zhao,  Keyan Hu,  Dong Wang,  Shaoning Zhang,  Peng Wang,  Wujie Dong,  Haijie Chen,  Wei Zhao,  Fuqiang Huang,  and Fu-Qiang Huang|2019|Eur.J.Inorg.Chem.|2019|5000|doi:10.1002/ejic.201901015
DOI: 10.25505/fiz.icsd.cc230qxs
title: CSD 1937125: Experimental Crystal Structure Determination

description: Related Article: S.V. Shishkina, I.S. Konovalova, P.V. Trostianko, A.O. Geleverya, S.M. Kovalenko, N.D. Bunyatyan|2019|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|75|822|doi:10.1107/S2053229619006405
description: Related Article: N. Bolotina, O. Yakubovich, L. Shvanskaya, O. Dimitrova, A. Volkov, A. Vasiliev|2019|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|75|822|doi:10.1107/S2052520619009296
DOI: 10.25505/fiz.icsd.cc230s1z
title: CSD 1937160: Experimental Crystal Structure Determination

description: Related Article: H. Fukui, M. Fujimoto, Y. Akahama, A. Sano-Furukawa, T. Hattori|2019|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|75|742|doi:10.1107/S2052520619007923
DOI: 10.25505/fiz.icsd.cc230s20
title: CSD 1937161: Experimental Crystal Structure Determination

description: Related Article: H. Fukui, M. Fujimoto, Y. Akahama, A. Sano-Furukawa, T. Hattori|2019|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|75|742|doi:10.1107/S2052520619007923
DOI: 10.25505/fiz.icsd.cc230s31
title: CSD 1937162: Experimental Crystal Structure Determination

description: Related Article: H. Fukui, M. Fujimoto, Y. Akahama, A. Sano-Furukawa, T. Hattori|2019|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|75|742|doi:10.1107/S2052520619007923
DOI: 10.25505/fiz.icsd.cc230s42
title: CSD 1937163: Experimental Crystal Structure Determination

description: Related Article: H. Fukui, M. Fujimoto, Y. Akahama, A. Sano-Furukawa, T. Hattori|2019|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|75|742|doi:10.1107/S2052520619007923
DOI: 10.25505/fiz.icsd.cc230s53
title: CSD 1937164: Experimental Crystal Structure Determination

description: Related Article: H. Fukui, M. Fujimoto, Y. Akahama, A. Sano-Furukawa, T. Hattori|2019|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|75|742|doi:10.1107/S2052520619007923
DOI: 10.25505/fiz.icsd.cc230s64
title: CSD 1937165: Experimental Crystal Structure Determination

description: Related Article: H. Fukui, M. Fujimoto, Y. Akahama, A. Sano-Furukawa, T. Hattori|2019|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|75|742|doi:10.1107/S2052520619007923
DOI: 10.25505/fiz.icsd.cc230s75
title: CSD 1937166: Experimental Crystal Structure Determination

description: Related Article: H. Fukui, M. Fujimoto, Y. Akahama, A. Sano-Furukawa, T. Hattori|2019|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|75|742|doi:10.1107/S2052520619007923
DOI: 10.25505/fiz.icsd.cc2313w5
title: CSD 1937496: Experimental Crystal Structure Determination

description: Related Article: Haonan Liu, Hongping Wu, Hongwei Yu, Zhanggui Hu, Yicheng Wu|2019|Dalton Trans.|48|16626|doi:10.1039/C9DT03451J
DOI: 10.25505/fiz.icsd.cc2313x6
title: CSD 1937497: Experimental Crystal Structure Determination

description: Related Article: Haonan Liu, Hongping Wu, Hongwei Yu, Zhanggui Hu, Yicheng Wu|2019|Dalton Trans.|48|16626|doi:10.1039/C9DT03451J
DOI: 10.25505/fiz.icsd.cc22z9hw
title: CSD 1935748: Experimental Crystal Structure Determination

description: Related Article: Ailijiang Abudurusuli, Kui Wu, Junjie Li, Alimujiang Yalikun, Zhihua Yang, Shilie Pan|2019|Inorg.Chem.|58|12859|doi:10.1021/acs.inorgchem.9b01810
DOI: 10.25505/fiz.icsd.cc22z9jx
title: CSD 1935749: Experimental Crystal Structure Determination

description: Related Article: Ailijiang Abudurusuli, Kui Wu, Junjie Li, Alimujiang Yalikun, Zhihua Yang, Shilie Pan|2019|Inorg.Chem.|58|12859|doi:10.1021/acs.inorgchem.9b01810
DOI: 10.25505/fiz.icsd.cc22z9ky
title: CSD 1935750: Experimental Crystal Structure Determination

description: Related Article: Ailijiang Abudurusuli, Kui Wu, Junjie Li, Alimujiang Yalikun, Zhihua Yang, Shilie Pan|2019|Inorg.Chem.|58|12859|doi:10.1021/acs.inorgchem.9b01810
DOI: 10.25505/fiz.icsd.cc22z9lz
title: CSD 1935751: Experimental Crystal Structure Determination

description: Related Article: Ailijiang Abudurusuli, Kui Wu, Junjie Li, Alimujiang Yalikun, Zhihua Yang, Shilie Pan|2019|Inorg.Chem.|58|12859|doi:10.1021/acs.inorgchem.9b01810
DOI: 10.25505/fiz.icsd.cc22z9m0
title: CSD 1935752: Experimental Crystal Structure Determination

description: Related Article: Ailijiang Abudurusuli, Kui Wu, Junjie Li, Alimujiang Yalikun, Zhihua Yang, Shilie Pan|2019|Inorg.Chem.|58|12859|doi:10.1021/acs.inorgchem.9b01810
DOI: 10.25505/fiz.icsd.cc231jf4
title: CSD 1937885: Experimental Crystal Structure Determination

description: Related Article: Hongyao Xie,  Xianli Su,  Xiaomi Zhang,  Shiqiang Hao,  Trevor P. Bailey,  Constantinos C. Stoumpos,  Alexios P. Douvalis,  Xiaobing Hu,  Christopher Wolverton,  Vinayak P. Dravid,  Ctirad Uher,  Xinfeng Tang,  Mercouri G. Kanatzidis|2019|J.Am.Chem.Soc.|141|10905|doi:10.1021/jacs.9b05072
DOI: 10.25934/pr00005707.0
title: Available IPD datapackage for study 'A Placebo-Controlled, Double-Blind, Multicenter, Randomized, Phase II Study of Bevacizumab in Previously Untreated Extensive-Stage Small Cell Lung Cancer'

description: This is a placebo-controlled, double-blind, multicenter, randomized study for preliminary evaluation of the efficacy and safety of combining bevacizumab with cisplatin (or carboplatin) and etoposide in patients with previously untreated extensive-stage small cell lung cancer (SCLC).