cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.1122633
title: Ps2Share – Participation, Privacy, And Power In The Sharing Economy

description: This data set contains:


	Cleaned data files of the 2017 survey on participation, privacy, and power in the sharing economy across 12 countries. Data are in sav (for SPSS), xlsx, and csv format.
	Survey questionnaires in 10 languages (zipped PDFs)
	Methodological Appendix


This <strong>EU Horizon 2020 Research Project: Ps2Share</strong> was concerned with questions of participation, privacy, and power in the sharing economy. With funding granted by the European Commission's Horizon 2020 Growth Strategy, this one-year research project was conducted by a consortium of international researchers from Norway, Germany, The Netherlands, Italy, Denmark, and Switzerland.

The emergence of innovative platforms has extended the notion of online sharing to the vibrant new domain of sharing of material goods and services. We call this phenomenon 'the sharing economy'. With companies such as Airbnb, Uber, Taskrabbit, and Transferwise dominating the market, user numbers of sharing services have skyrocketed and expect to grow further, enabling ever new avenues of economic and social interaction to appear.

The sharing economy promises to provide more inclusive business opportunities for individuals of various skills levels and resource endowment. However, the public rhetoric of chances, growth, and inclusion frequently contrasts with the risks, concerns, disadvantages, and exclusion in the experience of a variety of users. These platforms, extending into the private and physical realm of their users, create compound privacy risks and increase the potential for exclusion and discrimination through ratings-based sanctioning. In facing the ongoing growth of the sharing economy, we are presented with a variety of challenges, which need to be addressed.

With our research, we hope to facilitate public deliberation on desirable practices and policies. Our overarching objective is to identify key challenges of the sharing economy and improve Europe’s digital services through providing recommendations to Europe’s institutions. These will include schools and companies, as well as governmental and non-governmental organisations. 

In constructing policy, we aim to provide steps toward more modern regulatory and policymaking approaches, helping to create a more balanced digitized economy that is socially acceptable to all. We aim to foster better awareness of the consequences which technologies, networks, and new digital media have on the way people behave, think, interact, and socialise as persons, citizens, workers, and consumers across Europe.

Further information and reports can be found at www.ps2share.eu

Contact:

Professor Christian Fieseler, BI Norwegian Business School, christian.fieseler@bi.no
DOI: 10.13126/unical.it/dottorati/1186
title: Studio di modelli di calcolo della luminanza del cielo e confronto con dati sperimentali

description: Scuola di Dottorato 'Pitagora' Scienze Ingegneristiche, Dottorato di Ricerca in Ingegneria Meccanica Ciclo XXV Ciclo, a.a. 2011-2012
DOI: 10.5258/soton/d0159
title: Pressure and velocity fluctuations in wall-bounded turbulent flows: Time-resolved Tomographic PIV Data

description: Tomographic PIV dataset used for the experimental assessment section of the article:Laskari, A., de Kat, R., & Ganapathisubramani, B. (2016). 'Full-field pressure from snapshot and time-resolved volumetric PIV'. Experiments in Fluids, 57(44), 1-14. DOI: 10.1007/s00348-016-2129-5and is part of chapter 3 of the thesis:
Laskari, A. (2017). 'Pressure and velocity fluctuations in wall-bounded turbulent flows', PhD Thesis, University of SouthamptonThe data is available on request. Please fill out the form linked below.
DOI: 10.15155/repos-7
title: The quality and quantity of Estonian intervocalic /l/ (data)
DOI: 10.13126/unical.it/dottorati/1187
title: Design and application of a novel microelectromechanical system for in situ SEM-TEM displacement controlled tensile testing of nanostructures

description: Scuola di Dottorato 'Pitagora' Scienze Ingegneristiche, Dottorato di Ricerca in Ingegneria Meccanica Ciclo XXV Ciclo, a.a. 2011-2012
DOI: 10.5281/zenodo.1123278
title: Biogeography And Ecological Diversification Of A Mayfly Clade In New Guinea

description: This dataset comprises:

- raw data about specimens ID

- concatenated alignment with two mitochondrial genes (COI, 16s)

- resulting chronogram after BEAST analysis
DOI: 10.5281/zenodo.1123279
title: Biogeography And Ecological Diversification Of A Mayfly Clade In New Guinea

description: This dataset comprises:

- raw data about specimens ID

- concatenated alignment with two mitochondrial genes (COI, 16s)

- resulting chronogram after BEAST analysis
DOI: 10.5281/zenodo.1033853
title: The Role Of Ions In New-Particle Formation In The Cloud Chamber: Supporting Data

description: Data that is presented in the publication "The role of ions in new-particle formation in the CLOUD chamber", ACP 2017.
DOI: 10.13126/unical.it/dottorati/1189
title: Una metodologia integrata per la valutazione di sostenibilita' dei prodotti industriali nelle prime fasi della progettazione

description: Scuola di Dottorato 'Pitagora' Scienze Ingegneristiche, Dottorato di Ricerca in Ingegneria Meccanica Ciclo XXV, a.a. 2011-2012
DOI: 10.5517/ccdc.csd.cc1pysv8
title: CCDC 1577771: Experimental Crystal Structure Determination

description: Related Article: Wen-Min Wang, Qin Wang, Li Bai, Hui Qiao, Xiao-Yu Zhao, Meng Xu, Shu-Yu Liu, Ying Shi, Ming Fang, Zhi-Lei Wu|2018|Polyhedron|142|43|doi:10.1016/j.poly.2017.12.017
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1pysw9
title: CCDC 1577772: Experimental Crystal Structure Determination

description: Related Article: Wen-Min Wang, Qin Wang, Li Bai, Hui Qiao, Xiao-Yu Zhao, Meng Xu, Shu-Yu Liu, Ying Shi, Ming Fang, Zhi-Lei Wu|2018|Polyhedron|142|43|doi:10.1016/j.poly.2017.12.017
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1pysxb
title: CCDC 1577773: Experimental Crystal Structure Determination

description: Related Article: Wen-Min Wang, Qin Wang, Li Bai, Hui Qiao, Xiao-Yu Zhao, Meng Xu, Shu-Yu Liu, Ying Shi, Ming Fang, Zhi-Lei Wu|2018|Polyhedron|142|43|doi:10.1016/j.poly.2017.12.017
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.13126/unical.it/dottorati/1190
title: La gestione della conoscenza e della meta-conoscenza nelle comunita' di ricerca scientifica

description: Dottorato di Ricerca in Ricerca operativa, XXV Ciclo, a.a.2012-2013
DOI: 10.5517/ccdc.csd.cc1q74vy
title: CCDC 1585800: Experimental Crystal Structure Determination

description: Related Article: Jie-Tao Chen, Ru Ma, Shi-Chang Sun, Xiao-Feng Zhu, Xiao-Li Xu, Qing Mu|2018|Bioorg.Med.Chem.|26|609|doi:10.1016/j.bmc.2017.12.028
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.7483/opendata.cms.3yrw.xg5y
title: /BTag/Run2012B-22Jan2013-v1/AOD
DOI: 10.7483/opendata.cms.pn1a.viah
title: /Commissioning/Run2012B-22Jan2013-v1/AOD
DOI: 10.7483/opendata.cms.42rc.y837
title: /HTMHTParked/Run2012B-22Jan2013-v1/AOD
DOI: 10.7483/opendata.cms.cepg.exlp
title: /DoublePhoton/Run2012B-22Jan2013-v1/AOD
DOI: 10.7483/opendata.cms.imx1.rkr4
title: /DoublePhotonHighPt/Run2012B-22Jan2013-v1/AOD
DOI: 10.7483/opendata.cms.oxlk.bdou
title: /ElectronHad/Run2012B-22Jan2013-v1/AOD
DOI: 10.7483/opendata.cms.s0h8.lbd3
title: /DoubleElectron/Run2012B-22Jan2013-v1/AOD
DOI: 10.7483/opendata.cms.ylic.86zz
title: /DoubleMuParked/Run2012B-22Jan2013-v1/AOD
DOI: 10.5281/zenodo.1095400
title: Drone-Based Photogrammetric Survey Raw Data From Esa Pangaea-X 2017 Planetary Analogue Campaign - Data Collected On 2017-11-19

description: Drone-based photogrammetric survey data from ESA PANGAEA-X 2017 planetary analogue campaign. Data were collected in the framework of the ESA PANGAEA-X testing campaign held in November 2017: We acknowledge ESA for organising the campaign and providing scientific and logistic assistance on site. The authors would like also to thank the Geopark of Lanzarote, the touristic center of Cueva de Los Verdes, the Cabildo of Lanzarote, the National Park of Timanfaya and the IGEO-CSIC-UCM for providing the necessary permits. Data collected on 2017-11-19 during an aerial survey with a DJI Phantom 4 - data from AGPA experiments (AGPA-D) see http://www.agpa-project.eu
description: Data were collected in the framework of the ESA PANGAEA-X testing campaign held  in November 2017: we acknowledge ESA for organising the campaign and providing scientific and logistic assistance on site. The authors would like also to thank the Geopark of Lanzarote, the touristic center of Cueva de Los Verdes, the Cabildo of Lanzarote, the National Park of Timanfaya and the IGEO-CSIC-UCM for providing the necessary permits.
DOI: 10.5517/ccdc.csd.cc1llg9y
title: CCDC 1477500: Experimental Crystal Structure Determination

description: Related Article: J. Masternak, M. Zienkiewicz-Machnik, K. Kazimierczuk, B. Barszcz|2018|Polyhedron|142|93|doi:10.1016/j.poly.2017.12.012
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1pjd9x
title: CCDC 1564889: Experimental Crystal Structure Determination

description: Related Article: J. Masternak, M. Zienkiewicz-Machnik, K. Kazimierczuk, B. Barszcz|2018|Polyhedron|142|93|doi:10.1016/j.poly.2017.12.012
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.7483/opendata.cms.7k7o.wydn
title: /MuEG/Run2012B-22Jan2013-v1/AOD
DOI: 10.7483/opendata.cms.gfqq.anof
title: /MuHad/Run2012B-22Jan2013-v1/AOD
DOI: 10.7483/opendata.cms.kl8h.hfvh
title: /JetHT/Run2012B-22Jan2013-v1/AOD
DOI: 10.7483/opendata.cms.l01d.5qy8
title: /JetMon/Run2012B-22Jan2013-v1/AOD
DOI: 10.7483/opendata.cms.q4t1.hlns
title: /MuOnia/Run2012B-22Jan2013-v1/AOD
DOI: 10.7483/opendata.cms.wuao.lzz3
title: /NoBPTX/Run2012B-22Jan2013-v1/AOD
DOI: 10.7483/opendata.cms.xp73.owlw
title: /MET/Run2012B-22Jan2013-v1/AOD
DOI: 10.7483/opendata.cms.zy7k.z6gv
title: /HcalNZS/Run2012B-22Jan2013-v1/AOD
DOI: 10.5061/dryad.d8p78/1
title: Discrimination learning data
DOI: 10.7483/opendata.cms.69gk.z9ud
title: /VBF1Parked/Run2012B-22Jan2013-v1/AOD
DOI: 10.7483/opendata.cms.8xn1.j5n7
title: /SingleElectron/Run2012B-22Jan2013-v1/AOD
DOI: 10.7483/opendata.cms.9fa1.3kbb
title: /SinglePhoton/Run2012B-22Jan2013-v1/AOD
DOI: 10.7483/opendata.cms.iyvq.1j0w
title: /SingleMu/Run2012B-22Jan2013-v1/AOD
DOI: 10.7483/opendata.cms.rc8l.t9xv
title: /TauParked/Run2012B-22Jan2013-v1/AOD
DOI: 10.7483/opendata.cms.rl5z.nnug
title: /TauPlusX/Run2012B-22Jan2013-v1/AOD
DOI: 10.7483/opendata.cms.sizg.jr9g
title: /PhotonHad/Run2012B-22Jan2013-v1/AOD
DOI: 10.5061/dryad.d8p78/2
title: Generalization test data
DOI: 10.5061/dryad.d8p78/3
title: Salience test - discrimination learning
DOI: 10.5061/dryad.d8p78/4
title: Color proportion measurements of butterfly wings
DOI: 10.5281/zenodo.1123309
title: Supplementary Material For The Paper "Optimizing Workday Planning Based On Time And Productivity Constraints"

description: This repository contains the (anonymized) supplementary material for our paper. This includes the survey questions we asked, as well as a video and screenshots of DayO.

<strong>Abstract</strong>: Planning one’s workday was shown to be positively related to increased control of time, work and life satisfaction, and<br>
performance. However, planning for an efficient workday is challenging, due to the high complexity of tasks that knowledge<br>
workers have to perform and the many constraints that influence their plan. Few planning tools actively support users with the task scheduling process, but they do not take into account these time and productivity constraints. Hence, we have devised an automated task scheduling approach that recommends an optimized workday plan, by considering constraints such as task characteristics (e.g., difficulty, deadline, importance), scheduled appointments, the current stress level and sleep quality from the previous night. A preliminary analysis of the approach, using DayO as a technology probe in situ, showed that participants found the idea<br>
very promising, but a real-world application would additionally require further support to reduce the cognitive burden of planning and would let users to adapt their schedules interactively, when constraints change throughout a workday.
DOI: 10.5281/zenodo.1123310
title: Supplementary Material For The Paper "Optimizing Workday Planning Based On Time And Productivity Constraints"

description: This repository contains the (anonymized) supplementary material for our paper. This includes the survey questions we asked, as well as a video and screenshots of DayO.

<strong>Abstract</strong>: Planning one’s workday was shown to be positively related to increased control of time, work and life satisfaction, and<br>
performance. However, planning for an efficient workday is challenging, due to the high complexity of tasks that knowledge<br>
workers have to perform and the many constraints that influence their plan. Few planning tools actively support users with the task scheduling process, but they do not take into account these time and productivity constraints. Hence, we have devised an automated task scheduling approach that recommends an optimized workday plan, by considering constraints such as task characteristics (e.g., difficulty, deadline, importance), scheduled appointments, the current stress level and sleep quality from the previous night. A preliminary analysis of the approach, using DayO as a technology probe in situ, showed that participants found the idea<br>
very promising, but a real-world application would additionally require further support to reduce the cognitive burden of planning and would let users to adapt their schedules interactively, when constraints change throughout a workday.
DOI: 10.7483/opendata.cms.5f0s.1s43
title: /ElectronHad/Run2012C-22Jan2013-v1/AOD
DOI: 10.7483/opendata.cms.du2c.mf16
title: /BTag/Run2012C-22Jan2013-v1/AOD
DOI: 10.7483/opendata.cms.kt69.anb8
title: /DoublePhoton/Run2012C-22Jan2013-v2/AOD
DOI: 10.7483/opendata.cms.m5ad.y3v3
title: /DoubleMuParked/Run2012C-22Jan2013-v1/AOD
DOI: 10.7483/opendata.cms.qglb.gwgh
title: /BJetPlusX/Run2012C-22Jan2013-v1/AOD
DOI: 10.7483/opendata.cms.sinm.bv86
title: /DoubleElectron/Run2012C-22Jan2013-v1/AOD
DOI: 10.7483/opendata.cms.t8a7.kynm
title: /DoublePhotonHighPt/Run2012C-22Jan2013-v1/AOD
DOI: 10.7483/opendata.cms.ydi6.mha4
title: /Commissioning/Run2012C-22Jan2013-v1/AOD
DOI: 10.7483/opendata.cms.2kf0.osqz
title: /MinimumBias/Run2012C-22Jan2013-v1/AOD
DOI: 10.7483/opendata.cms.80qm.s6gf
title: /HTMHTParked/Run2012C-22Jan2013-v1/AOD
DOI: 10.7483/opendata.cms.8css.ix57
title: /MuEG/Run2012C-22Jan2013-v1/AOD
DOI: 10.7483/opendata.cms.8ut7.ird7
title: /JetMon/Run2012C-22Jan2013-v1/AOD
DOI: 10.7483/opendata.cms.cpxw.j3w3
title: /MuOnia/Run2012C-22Jan2013-v1/AOD
DOI: 10.7483/opendata.cms.g2vb.kp13
title: /MuHad/Run2012C-22Jan2013-v1/AOD
DOI: 10.7483/opendata.cms.kogy.ngvh
title: /HcalNZS/Run2012C-22Jan2013-v1/AOD
DOI: 10.7483/opendata.cms.vzsr.lyzx
title: /JetHT/Run2012C-22Jan2013-v1/AOD
DOI: 10.7483/opendata.cms.4p88.f4rs
title: /VBF1Parked/Run2012C-22Jan2013-v1/AOD
DOI: 10.7483/opendata.cms.89lj.6vkb
title: /MuOniaParked/Run2012C-22Jan2013-v1/AOD
DOI: 10.7483/opendata.cms.9a4e.7sir
title: /SingleMu/Run2012C-22Jan2013-v1/AOD
DOI: 10.7483/opendata.cms.bakp.w6tp
title: /SingleElectron/Run2012C-22Jan2013-v1/AOD
DOI: 10.7483/opendata.cms.dfkt.nem6
title: /TauParked/Run2012C-22Jan2013-v1/AOD
DOI: 10.7483/opendata.cms.ho16.ml0n
title: /SinglePhoton/Run2012C-22Jan2013-v1/AOD
DOI: 10.7483/opendata.cms.l2y3.jqyp
title: /PhotonHad/Run2012C-22Jan2013-v1/AOD
DOI: 10.7483/opendata.cms.odws.5uan
title: /NoBPTX/Run2012C-22Jan2013-v1/AOD
DOI: 10.7483/opendata.cms.y1s3.6ea3
title: /TauPlusX/Run2012C-22Jan2013-v1/AOD
DOI: 10.5281/zenodo.1122596
title: 2018 Ieee Ius Sa-Vfi Challenge

description: The 2018 IEEE IUS SA-VFI challenge consist on estimating blood flow velocities from both simulated and measured ultrasound RF element data sets.  The challenge results are meant to  be presented during the next IEEE International Ultrasonics Symposium 2018 in Kobe (Japan).

The data sets for the challenge consist on pre-beamformed RF element signals using a pre-selected synthetic aperture (SA) sequence on flow phantoms, both simulations and experiments.  The details of the provided data sets and example code is given in the main document "2018_IEEE_IUS_SA-VFI_Challenge.pdf".  

A website for the participants with additional information is available at  https://www.creatis.insa-lyon.fr/Challenge/IEEE_IUS_2018/.
DOI: 10.5517/ccdc.csd.cc1q80jj
title: CCDC 1586627: Experimental Crystal Structure Determination

description: Related Article: Xiao Chen, Michael T. Gamer, Peter W. Roesky|2018|Dalton Trans.|47|12521|doi:10.1039/C7DT04401A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1q80kk
title: CCDC 1586628: Experimental Crystal Structure Determination

description: Related Article: Xiao Chen, Michael T. Gamer, Peter W. Roesky|2018|Dalton Trans.|47|12521|doi:10.1039/C7DT04401A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1q80ll
title: CCDC 1586629: Experimental Crystal Structure Determination

description: Related Article: Xiao Chen, Michael T. Gamer, Peter W. Roesky|2018|Dalton Trans.|47|12521|doi:10.1039/C7DT04401A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.7281/t1gf0rp8
title: Sloan Digital Sky Survey SkyServer SDSS-II Data Release 6 (DR6)

description: The Sixth Data Release (DR6) of the Sloan Digital Sky Survey is now available. The spatial coverage of DR6 is about 7% larger than that of DR5. The photometric data in DR6 are based on five-band imaging observations of 8520 square degrees of sky, and include measures of 300 million unique objects.
Based on these photometric data, objects were selected for spectroscopy over a footprint area of 6860 square degrees. DR5 includes derived spectroscopic parameters for 1,163,520 spectra, classified into 792,680 galaxies, 154,925 stars and 104,140 quasars.
DR6 also contains the first release of data from the SEGUE (Sloan Extension for Galactic Understanding and Exploration) program, which is one of the three components of SDSS-II: the Legacy Survey, SEGUE and the SuperNova Survey.
The SEGUE imaging data is available in a separate database in the CAS, SegueDR6, whereas the SEGUE spectra are part of the main database, BestDR6. You can browse SEGUE imaging data on the SEGUE SkyServer site. The SEGUE spectra are in the special SEGUE plates in the BestDR6 database.
Further details of the Data Release 6 can be found at http://www.sdss.org/dr6/.
DOI: 10.7483/opendata.cms.1oyv.mv5x
title: /Diphoton2Jets_EW4_TuneZ2star_8TeV-madgraph-tauola/Summer12_DR53X-PU_RD1_START53_V7N-v1/AODSIM
DOI: 10.7483/opendata.cms.2pq3.vidt
title: /DiPhotonBorn_Pt-250ToInf_8TeV_ext-pythia6/Summer12_DR53X-PU_RD1_START53_V7N-v2/AODSIM
DOI: 10.7483/opendata.cms.8d0b.s0nr
title: /DiPhotonBox_Pt-10To25_8TeV-pythia6/Summer12_DR53X-PU_RD1_START53_V7N-v1/AODSIM
DOI: 10.7483/opendata.cms.9olx.67oj
title: /DiPhotonBorn_Pt-10To25_8TeV_ext-pythia6/Summer12_DR53X-PU_RD1_START53_V7N-v2/AODSIM
DOI: 10.7483/opendata.cms.aun9.zwbu
title: /DiPhotonBox_Pt-250ToInf_8TeV_ext-pythia6/Summer12_DR53X-PU_RD1_START53_V7N-v1/AODSIM
DOI: 10.7483/opendata.cms.bccf.2swy
title: /DiPhotonBox_Pt-25To250_8TeV_ext-pythia6/Summer12_DR53X-PU_RD1_START53_V7N-v2/AODSIM
DOI: 10.7483/opendata.cms.mkxb.wydj
title: /BBH_HToTauTau_M_125_TuneZ2star_8TeV_pythia6_tauola/Summer12_DR53X-PU_S10_START53_V19-v1/AODSIM
DOI: 10.7483/opendata.cms.wv7j.8gn0
title: /DiPhotonBorn_Pt-25To250_8TeV_ext-pythia6/Summer12_DR53X-PU_RD1_START53_V7N-v2/AODSIM
DOI: 10.7483/opendata.cms.5abq.6sis
title: /DY2JetsToLL_M-50_TuneZ2Star_8TeV-madgraph/Summer12_DR53X-PU_RD1_START53_V7N-v1/AODSIM
DOI: 10.7483/opendata.cms.5qd0.94jo
title: /DiPhotonJets_M0_8TeV-madgraph/Summer12_DR53X-PU_RD1_START53_V7N-v1/AODSIM
DOI: 10.7483/opendata.cms.6q1a.8zzf
title: /DoubleElectron_FlatPt-5To300_gun/Summer12_DR53X-PU_S10_START53_V19-v1/AODSIM
DOI: 10.7483/opendata.cms.8dzx.ncao
title: /DiPhotonJets_7TeV-madgraph/Summer12_DR53X-PU_RD1_START53_V7N-v1/AODSIM
DOI: 10.7483/opendata.cms.alzg.pzwc
title: /DY2JetsToLL_M-50_8TeV_ext-madgraph/Summer12_DR53X-PU_S10_START53_V19-v1/AODSIM
DOI: 10.7483/opendata.cms.htwg.psqo
title: /DiPhotonJetsBox_M60_8TeV-sherpa/Summer12_DR53X-PU_RD1_START53_V7N-v1/AODSIM
DOI: 10.7483/opendata.cms.iryt.yqkp
title: /DiPhotonJets_8TeV-madgraph-tarball-v2/Summer12_DR53X-PU_RD1_START53_V7N-v1/AODSIM
DOI: 10.7483/opendata.cms.kaye.xlah
title: /DY1JetsToLL_M-10To50_TuneZ2Star_8TeV-madgraph/Summer12_DR53X-PU_RD1_START53_V7N-v1/AODSIM
DOI: 10.7483/opendata.cms.tcax.e3io
title: /DY1JetsToLL_M-50_8TeV_ext-madgraph/Summer12_DR53X-PU_S10_START53_V19-v1/AODSIM
DOI: 10.5281/zenodo.1122623
title: Granada Interferogram

description: interferogram from sentinel -1 computing on nsbas program
DOI: 10.5281/zenodo.1122624
title: Granada Interferogram

description: interferogram from sentinel -1 computing on nsbas program
DOI: 10.7483/opendata.cms.4gso.f3eh
title: /DYJetsToLL_M-50_TuneZ2Star_8TeV-madgraph-tarball/Summer12_DR53X-No_PU_RD1_START53_V7N-v1/AODSIM