cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc20xsj8
title: CCDC 1874710: Experimental Crystal Structure Determination

description: Related Article: Liliana Mazur, Ilona Materek, Andrew D. Bond, William Jones|2019|Cryst.Growth Des.|19|2663|doi:10.1021/acs.cgd.8b01795
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.cc20xvsl
title: CCDC 1874780: Experimental Crystal Structure Determination

description: Related Article: Shanmugam Rajasekar, Pazhamalai Anbarasan|2019|Org.Lett.|21|3067|doi:10.1021/acs.orglett.9b00652
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.cc20xvtm
title: CCDC 1874781: Experimental Crystal Structure Determination

description: Related Article: Shanmugam Rajasekar, Pazhamalai Anbarasan|2019|Org.Lett.|21|3067|doi:10.1021/acs.orglett.9b00652
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.cc20xvvn
title: CCDC 1874782: Experimental Crystal Structure Determination

description: Related Article: Shanmugam Rajasekar, Pazhamalai Anbarasan|2019|Org.Lett.|21|3067|doi:10.1021/acs.orglett.9b00652
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.cc20xvwp
title: CCDC 1874783: Experimental Crystal Structure Determination

description: Related Article: Shanmugam Rajasekar, Pazhamalai Anbarasan|2019|Org.Lett.|21|3067|doi:10.1021/acs.orglett.9b00652
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.cc20zcr4
title: CCDC 1876236: Experimental Crystal Structure Determination

description: Related Article: Sarah C. Bete, Christian Würtele, Matthias Otte|2019|Chem.Commun.|55|4427|doi:10.1039/C9CC00437H
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.cc214zmt
title: CCDC 1881626: Experimental Crystal Structure Determination

description: Related Article: Òscar Torres, Nils Pfister, Thomas Braun, Philipp Wittwer|2019|Dalton Trans.|48|6153|doi:10.1039/C9DT00780F
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: 10.17632/9cxpptkhmc.1
title: Data for: The Impact of the Land Certificated Program on the Farmland Rental Market in Rural China
DOI: 10.5286/isis.e.rb1910256-1
title: 1910256
DOI: 10.5281/zenodo.2579877
title: Report user data

description: This dataset contains the relation between users, instruments, elapsed time, result and status_code.
DOI: 10.5281/zenodo.2579878
title: Report user data

description: This dataset contains the relation between users, instruments, elapsed time, result and status_code.
DOI: 10.5281/zenodo.2612909
title: Predicting the Onset of Void Swelling in Irradiated Metals with Machine Learning

description: Dataset to support the manuscript, "Predicting the Onset of Void Swelling in Irradiated Metals with Machine Learning", which contains all variables for predicting the target variable.
DOI: 10.5281/zenodo.2579882
title: System monitoring data

description: This dataset contains the monitoring information in TeSLA systems.
DOI: 10.5281/zenodo.2579883
title: System monitoring data

description: This dataset contains the monitoring information in TeSLA systems.
DOI: 10.25739/hb5x-wx74
title: Supplementary material for "The genome sequence of segmental allotetraploid peanut Arachis hypogaea"

description: Electronic supplementary material for the paper "The genome sequence of segmental allotetraploid peanut Arachis hypogaea", Bertioli et al., 2019. Materials include: Information on the expression of homeologous gene pairs; Key to germplasm used in the associated study; Basecalls at assessed genomic positions in tetraploid assembly; Files used for the visualization of genome structure variations; Data for visualization of homeologous recombination between corresponding chromosomes; and information about genotyping and phenotypic of induced allotetraploid lines.
DOI: 10.25919/5c9c46487ad79
title: Parkes observations for project P981 semester 2018APRS_02

description: The purpose of this proposal is to have test time for a new mode that performs coherent dedispersion on pulsars of known dispersion measure and searches for giant pulses across the entire bandwidth of the ultra-broadband receiver. This is a very challenging computational task.
DOI: 10.5281/zenodo.2611322
title: Selected WRF output for Shimshal catchment, years 2011, 2012, 2013

description: Includes selected variables for the Langtang catchment of the WRF run used in <em>Contrasting meteorological drivers of the glacier mass balance between the Karakoram and central Himalaya, </em>by PNJ Bonekamp, RJ de Kok, E Collier and WW Immerzeel. 

WRF version 3.8.1 is used for the simulations. The outer domain is forced with 6-hourly ERA-Interim data (0.75 o x0.75o), and grid analysis nudging is applied to the horizontal wind, water vapour mixing ratio and potential temperature fields in the highest 15 vertical levels. In all domains, the land cover dataset is updated using the climate change initiative dataset (CCI, Defourny et al. (2017)) of the European Space Agency (ESA), which has a spatial resolution of 300 m. The soil moisture, soil temperatures and skin temperatures is initialized with the GLDAS dataset (0.25x0.25, Rodell et al. 2004).

Important parameter settings are:<br>
- One way nesting<br>
- Model top pressure<br>
- Morrison microphysics<br>
-YSU planetary boundary layer scheme wit topo_wind option=1<br>
- Noah-MP scheme<br>
-RRTGM radiation scheme<br>
-MM5 Similarity Scheme<br>
- Rayleigh damping at the top boundary<br>
- Diffusion is calculated in physical space<br>
<br>
Included variables [unit']:<br>
Time [hours from 1 December 2010], total simulation time is till 1 January 2014. All data are hourly variables. <br>
ALBEDO [-]<br>
GLW [Wm-2], longwave downward radiation<br>
GRAUPELNC [m], non convective graupel<br>
GRDFLX [Wm-2], ground heat flux <br>
HFX [Wm-2], Sensible heat flux<br>
HGT [m], altitude above sea level<br>
LH [Wm-2], latent heat flux<br>
LU_INDEX [-] #24 categories<br>
LWDNB [Wm-2], longwave downward radiation<br>
LWUPB [Wm-2], longwave upward radiation<br>
RAINC [m], convective rainfall<br>
RAINNC [m], non convective rainfall<br>
SNOWC [-], snow cover<br>
SNOWNC [-], non convective snowfall<br>
SWDOWN [Wm-2], shortwave downwards radiations<br>
T2 [K], 2-meter temperature<br>
TSK [K], surface temperature<br>
U10 [ms-1], wind in U-direction at 10-m<br>
V10 [ms-1], wind in V direction at 10-m

See for the full description of the variables Chapter 5 of the WRF user guide
DOI: 10.5281/zenodo.2611323
title: Selected WRF output for Shimshal catchment, years 2011, 2012, 2013

description: Includes selected variables for the Langtang catchment of the WRF run used in <em>Contrasting meteorological drivers of the glacier mass balance between the Karakoram and central Himalaya, </em>by PNJ Bonekamp, RJ de Kok, E Collier and WW Immerzeel. 

WRF version 3.8.1 is used for the simulations. The outer domain is forced with 6-hourly ERA-Interim data (0.75 o x0.75o), and grid analysis nudging is applied to the horizontal wind, water vapour mixing ratio and potential temperature fields in the highest 15 vertical levels. In all domains, the land cover dataset is updated using the climate change initiative dataset (CCI, Defourny et al. (2017)) of the European Space Agency (ESA), which has a spatial resolution of 300 m. The soil moisture, soil temperatures and skin temperatures is initialized with the GLDAS dataset (0.25x0.25, Rodell et al. 2004).

Important parameter settings are:<br>
- One way nesting<br>
- Model top pressure<br>
- Morrison microphysics<br>
-YSU planetary boundary layer scheme wit topo_wind option=1<br>
- Noah-MP scheme<br>
-RRTGM radiation scheme<br>
-MM5 Similarity Scheme<br>
- Rayleigh damping at the top boundary<br>
- Diffusion is calculated in physical space<br>
<br>
Included variables [unit']:<br>
Time [hours from 1 December 2010], total simulation time is till 1 January 2014. All data are hourly variables. <br>
ALBEDO [-]<br>
GLW [Wm-2], longwave downward radiation<br>
GRAUPELNC [m], non convective graupel<br>
GRDFLX [Wm-2], ground heat flux <br>
HFX [Wm-2], Sensible heat flux<br>
HGT [m], altitude above sea level<br>
LH [Wm-2], latent heat flux<br>
LU_INDEX [-] #24 categories<br>
LWDNB [Wm-2], longwave downward radiation<br>
LWUPB [Wm-2], longwave upward radiation<br>
RAINC [m], convective rainfall<br>
RAINNC [m], non convective rainfall<br>
SNOWC [-], snow cover<br>
SNOWNC [-], non convective snowfall<br>
SWDOWN [Wm-2], shortwave downwards radiations<br>
T2 [K], 2-meter temperature<br>
TSK [K], surface temperature<br>
U10 [ms-1], wind in U-direction at 10-m<br>
V10 [ms-1], wind in V direction at 10-m

See for the full description of the variables Chapter 5 of the WRF user guide
DOI: 10.5281/zenodo.2613381
title: Dataset

description: Diese Daten wurden vom Institut für Dokumentologie und Editorik (IDE - http://i-d-e.de, http://d-nb.info/gnd/6521152-2) gesammelt zur empirischen Untermauerung und Untersuchung eines Posterbeitrags zur Tagung DHd 2019 (https://dhd2019.org): "010 Jahre IDE-Schools - Erfahrungen und Entwicklungen in der außeruniversitären DH-Ausbildung", von Christiane Fritze (ORCID 0000-0001-5099-8970), Franz Fischer (ORCID 0000-0002-2162-5531), Georg Vogeler (ORCID 0000-0002-1726-1712), Markus Schnöpf (ORCID 0000-0003-2529-8248), Martina Scholger (ORCID 0000-0003-1438-3236) und Patrick Sahle (ORCID 0000-0002-8648-2033). Das Abstract zum Poster ist im Book of Abstract enthalten, erreichbar z.B. bei Zenodo (DOI 10.5281/zenodo.2596095), S. 307-309. Die Webseiten zu dem Poster sind hier zu finden: https://www.i-d-e.de/10-jahre-ide-schools/<br> Die Datensammlung wurde vor allem von Franz Fischer und Patrick Sahle angelegt. Die Zuordnung zu Groß- und Detailgruppen kann nur subjektiv sein und spiegelt eine Sicht von Patrick Sahle wider. Zur Vollständigkeit: Da 2019 die zehnte edirom-Summer School stattfindet, dürften in den Daten noch drei edirom-Schools (2010-2012) fehlen, für die wir kein detailliertes Programm finden konnten.<br> Die Umfrage unter den TeilnehmerInnen der IDE-Schools wurde im Jänner und Februar 2019 mit einem Fragebogen online durchgeführt, die Umfrageergebnisse wurden anonymisiert. Insgesamt waren in den IDE-Schools 300 Teilnehmerinnen und Teilnehmer registriert. Das sind mehr als 253 Individuen, von den 100 einen Fragebogen ausgefüllt haben.<br> Die Daten liegen als Tabulator-getrennte Text-Dateien vor, die in ein Tabellenverarbeitungsprogramm importiert werden können.
DOI: 10.5281/zenodo.2613382
title: Dataset

description: Diese Daten wurden vom Institut für Dokumentologie und Editorik (IDE - http://i-d-e.de, http://d-nb.info/gnd/6521152-2) gesammelt zur empirischen Untermauerung und Untersuchung eines Posterbeitrags zur Tagung DHd 2019 (https://dhd2019.org): "010 Jahre IDE-Schools - Erfahrungen und Entwicklungen in der außeruniversitären DH-Ausbildung", von Christiane Fritze (ORCID 0000-0001-5099-8970), Franz Fischer (ORCID 0000-0002-2162-5531), Georg Vogeler (ORCID 0000-0002-1726-1712), Markus Schnöpf (ORCID 0000-0003-2529-8248), Martina Scholger (ORCID 0000-0003-1438-3236) und Patrick Sahle (ORCID 0000-0002-8648-2033). Das Abstract zum Poster ist im Book of Abstract enthalten, erreichbar z.B. bei Zenodo (DOI 10.5281/zenodo.2596095), S. 307-309. Die Webseiten zu dem Poster sind hier zu finden: https://www.i-d-e.de/10-jahre-ide-schools/<br> Die Datensammlung wurde vor allem von Franz Fischer und Patrick Sahle angelegt. Die Zuordnung zu Groß- und Detailgruppen kann nur subjektiv sein und spiegelt eine Sicht von Patrick Sahle wider. Zur Vollständigkeit: Da 2019 die zehnte edirom-Summer School stattfindet, dürften in den Daten noch drei edirom-Schools (2010-2012) fehlen, für die wir kein detailliertes Programm finden konnten.<br> Die Umfrage unter den TeilnehmerInnen der IDE-Schools wurde im Jänner und Februar 2019 mit einem Fragebogen online durchgeführt, die Umfrageergebnisse wurden anonymisiert. Insgesamt waren in den IDE-Schools 300 Teilnehmerinnen und Teilnehmer registriert. Das sind mehr als 253 Individuen, von den 100 einen Fragebogen ausgefüllt haben.<br> Die Daten liegen als Tabulator-getrennte Text-Dateien vor, die in ein Tabellenverarbeitungsprogramm importiert werden können.
DOI: 10.25912/5c9c4879d4c99
title: REACH Project: Gel Dot Audits Data
DOI: 10.5281/zenodo.2611580
title: Selected WRF output for Langtang catchment, years 2011, 2012, 2013

description: Includes selected variables for the Langtang catchment of the WRF run used in <em>Contrasting meteorological drivers of the glacier mass balance between the Karakoram and central Himalaya, </em>by PNJ Bonekamp, RJ de Kok, E Collier and WW Immerzeel. 

WRF version 3.8.1 is used for the simulations. The outer domain is forced with 6-hourly ERA-Interim data (0.75 o x0.75o), and grid analysis nudging is applied to the horizontal wind, water vapour mixing ratio and potential temperature fields in the highest 15 vertical levels. In all domains, the land cover dataset is updated using the climate change initiative dataset (CCI, Defourny et al. (2017)) of the European Space Agency (ESA), which has a spatial resolution of 300 m. The soil moisture, soil temperatures and skin temperatures is initialized with the GLDAS dataset (0.25x0.25, Rodell et al. 2004).

Important parameter settings are:<br>
- One way nesting<br>
- Model top pressure<br>
- Morrison microphysics<br>
-YSU planetary boundary layer scheme wit topo_wind option=1<br>
- Noah-MP scheme<br>
-RRTGM radiation scheme<br>
-MM5 Similarity Scheme<br>
- Rayleigh damping at the top boundary<br>
- Diffusion is calculated in physical space<br>
<br>
Included variables [unit']:<br>
Time [hours from 1 December 2010], total simulation time is till 1 January 2014. All data are hourly variables. <br>
ALBEDO [-]<br>
GLW [Wm-2], longwave downward radiation<br>
GRAUPELNC [m], non convective graupel<br>
GRDFLX [Wm-2], ground heat flux <br>
HFX [Wm-2], Sensible heat flux<br>
HGT [m], altitude above sea level<br>
LH [Wm-2], latent heat flux<br>
LU_INDEX [-] #24 categories<br>
LWDNB [Wm-2], longwave downward radiation<br>
LWUPB [Wm-2], longwave upward radiation<br>
RAINC [m], convective rainfall<br>
RAINNC [m], non convective rainfall<br>
SNOWC [-], snow cover<br>
SNOWNC [-], non convective snowfall<br>
SWDOWN [Wm-2], shortwave downwards radiations<br>
T2 [K], 2-meter temperature<br>
TSK [K], surface temperature<br>
U10 [ms-1], wind in U-direction at 10-m<br>
V10 [ms-1], wind in V direction at 10-m

See for the full description of the variables Chapter 5 of the WRF user guide
DOI: 10.5281/zenodo.2611581
title: Selected WRF output for Langtang catchment, years 2011, 2012, 2013

description: Includes selected variables for the Langtang catchment of the WRF run used in <em>Contrasting meteorological drivers of the glacier mass balance between the Karakoram and central Himalaya, </em>by PNJ Bonekamp, RJ de Kok, E Collier and WW Immerzeel. 

WRF version 3.8.1 is used for the simulations. The outer domain is forced with 6-hourly ERA-Interim data (0.75 o x0.75o), and grid analysis nudging is applied to the horizontal wind, water vapour mixing ratio and potential temperature fields in the highest 15 vertical levels. In all domains, the land cover dataset is updated using the climate change initiative dataset (CCI, Defourny et al. (2017)) of the European Space Agency (ESA), which has a spatial resolution of 300 m. The soil moisture, soil temperatures and skin temperatures is initialized with the GLDAS dataset (0.25x0.25, Rodell et al. 2004).

Important parameter settings are:<br>
- One way nesting<br>
- Model top pressure<br>
- Morrison microphysics<br>
-YSU planetary boundary layer scheme wit topo_wind option=1<br>
- Noah-MP scheme<br>
-RRTGM radiation scheme<br>
-MM5 Similarity Scheme<br>
- Rayleigh damping at the top boundary<br>
- Diffusion is calculated in physical space<br>
<br>
Included variables [unit']:<br>
Time [hours from 1 December 2010], total simulation time is till 1 January 2014. All data are hourly variables. <br>
ALBEDO [-]<br>
GLW [Wm-2], longwave downward radiation<br>
GRAUPELNC [m], non convective graupel<br>
GRDFLX [Wm-2], ground heat flux <br>
HFX [Wm-2], Sensible heat flux<br>
HGT [m], altitude above sea level<br>
LH [Wm-2], latent heat flux<br>
LU_INDEX [-] #24 categories<br>
LWDNB [Wm-2], longwave downward radiation<br>
LWUPB [Wm-2], longwave upward radiation<br>
RAINC [m], convective rainfall<br>
RAINNC [m], non convective rainfall<br>
SNOWC [-], snow cover<br>
SNOWNC [-], non convective snowfall<br>
SWDOWN [Wm-2], shortwave downwards radiations<br>
T2 [K], 2-meter temperature<br>
TSK [K], surface temperature<br>
U10 [ms-1], wind in U-direction at 10-m<br>
V10 [ms-1], wind in V direction at 10-m

See for the full description of the variables Chapter 5 of the WRF user guide
DOI: 10.17632/wch69n4knt.1
title: Social anxiety and attributes as the conditioned stimulus

description: Method, data, and analyses for Social anxiety and attributes as the conditioned stimulus
DOI: 10.17632/yrpjzfmzpz.3
title: Dissociation between objective and subjective perceptual experience in a population of hemianopic patients: A new form of blindsight?

description: To investigate the nature of the perceptual experience in the blind visual field, we submitted a group of HH patients to visual letter-detection and letter-identification tasks and assessed them by the Sensation Awareness Scale (Garric & al., 2019).
DOI: 10.5281/zenodo.2613383
title: The Correspondence of Otto Nicolai

description: Metadata set of Otto Nicolai's complete known correspondence.
DOI: 10.17632/5ky5fj7nnj.1
title: Italian Hate Map Data

description: Tweets gathered for the Italian Hate Map Project. Tweets are in Italian.
DOI: 10.17632/89gcftnfy4.1
title: Consumer behavior in using organic agricultural products in Vietnam Survey 2019

description: primary survey data of 210 consumers based on the logit and ordered logit regression models to investigate consumer behavior regarding organic agricultural products in Vietnam
DOI: 10.17632/pngmgm9yr3.2
title: MC-4C: processing pipeline

description: This is a reduced MC-4C dataset provided to be used as a test case for running MC-4C pipeline. The MC-4C pipeline can be freely downloaded from: https://github.com/aallahyar/mc4c_py Changes compared to original upload: - Changed name of fastq file from "raw_BMaj-test.fastq" to "fq_BMaj-test.fastq.gz"
DOI: 10.17632/xzp8s5zpdh.1
title: Data Used in North American Oriented Strand Board Study of Exchange Rate Pass Through

description: Data set used in the paper entitled "Nonlinear Exchange Rate Pass-Through in Timber Products: The Case of Oriented Strand Board in Canada and the United States" by Goodwin, Holt, and Prestemon
DOI: 10.14455/nrct.img.2019.243
title: การบูรณาการงานวิจัยเพื่อพัฒนาและส่งเสริม การผลิตและการบริโภคผลิตภัณฑ์สมุนไพร และสินค้าเกษตรอินทรีย์ เพื่อการพัฒนาที่ยั่งยืนของชุมชน
DOI: 10.17632/vm796vw9dk.1
title: Data for: Neoproterozoic magmatism in the northern margin of the Yangtze Block, China: Implications for slab rollback in a subduction-related setting

description: Data of the "Neoproterozoic magmatism in the northern margin of the Yangtze Block, China: Implications for slab rollback in a subduction-related setting"
DOI: 10.5281/zenodo.2613139
title: Figure Data for Thermophysical Properties of the North Polar Residual Cap of Mars from MGS TES

description: Includes comma separated value files for data used to generate paper figures. See 'info.txt' for data description.
DOI: 10.5281/zenodo.2613140
title: Figure Data for Thermophysical Properties of the North Polar Residual Cap of Mars from MGS TES

description: Includes comma separated value files for data used to generate paper figures. See 'info.txt' for data description.
DOI: 10.17632/5jcwt7rffw.6
title: Data for studying sonority

description: These are the raw data files (in WAV format) for English and Spanish speakers as recorded and analyzed for the article "Sound level protrusions as physical correlates of sonority," published in Journal of Phonetics 36:55-90 (2008).
DOI: 10.17632/82zk6kdx6c.1
title: Role of Exophilin-5 in keratinocyte differentiation

description: We hypothesized that Exophilin 5 (EXPH5) is important in maintaining skin homeostasis. We believe that EXPH5 has a crucial role in keratinocyte differentiation. To test this hypothesis, we made skin organotypics and disrupted the function of EXPH5 with pharmacological and genetic approaches. We then collected the tissue samples to quantify K10 positive keratinocytes to measure differentiation. The dataset indicates that disruption of EXPH5 impedes differentiation of keratinocytes.
DOI: 10.17632/dts6h4bs4z.1
title: FINZ-D-19-00048

description: DATA ACCESSIBILITY
DOI: 10.17632/znwy5dm9z5.1
title: special Ecucation Research

description: Special education research
DOI: 10.17632/3mg5f3gtm3.1
title: C9orf72 poly(PR) Dipeptide Repeats Disturb Biomolecular Phase Separation and Disrupt Nucleolar Function. White, M.R. et al.

description: Raw images associated with figures in "C9orf72 poly(PR) Dipeptide Repeats Disturb Biomolecular Phase Separation and Disrupt Nucleolar Function" White, M.R. et al.
DOI: 10.17632/svg4vyf2ry.1
title: Xiao et al.- Original western blot images

description: Detailed description of this data can be accessed in Xiao et al. (unpublished).
DOI: 10.5258/soton/d0523
title: Data used in article: Precession Motion in Levitated Optomechanics

description: Data associated and used in the following article: Ulbricht, H., Toros, M., Rashid, M., & Setter, A. J. (2018). Precession motion in levitated optomechanics. Physical Review Letters, 121(25), [253601]. DOI: 10.1103/PhysRevLett.121.253601