cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7308847
title: Spectral Engineering of Cavity-Protected Polaritons in an Atomic Ensemble with Controlled Disorder

description: The paradigm of N quantum emitters coupled to a single cavity mode appears in many situations ranging from quantum technologies to polaritonic chemistry. The ideal case of identical emitters is elegantly modeled in terms of symmetric states, and understood in terms of polaritons. In the practically relevant case of an inhomogeneous frequency distribution, this simple picture breaks down and new and surprising features appear. Here we leverage the high degree of control in a strongly coupled cold atom system, where for the first time the ratio between coupling strength and frequency inhomogeneities can be tuned. We directly observe the transition from a disordered regime to a polaritonic one with only two resonances. The latter are much narrower than the frequency distribution, as predicted in the context of ''cavity protection''. We find that the concentration of the photonic weight of the coupled light-matter states is a key parameter for this transition, and demonstrate that a simple parameter based on statistics of transmission count spectra provides a robust experimental proxy for this theoretical quantity. Moreover, we realize a dynamically modulated Tavis-Cumming model to produce a comb of narrow polariton resonances protected from the disorder, with potential applications to quantum networks.
description: We thank G. Pupillo and J. Schachenmayer for discussion within the ANR project CLIMAQS. This project has received funding from: Agence Nationale de la Recherche (ANR) (SAROCEMA project, ANR-14-CE32-0002); European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme Grant agreement No 671133 (EQUEMI project). It has been supported by Region Ile-de-France in the framework of DIM SIRTEQ. S. Schwartz acknowledges funding from the European Union under the Marie Sklodowska Curie Individual Fellowship Programme H2020-MSCA-IF-2014 (project No. 658253)
DOI: 10.5281/zenodo.7308846
title: Spectral Engineering of Cavity-Protected Polaritons in an Atomic Ensemble with Controlled Disorder

description: The paradigm of N quantum emitters coupled to a single cavity mode appears in many situations ranging from quantum technologies to polaritonic chemistry. The ideal case of identical emitters is elegantly modeled in terms of symmetric states, and understood in terms of polaritons. In the practically relevant case of an inhomogeneous frequency distribution, this simple picture breaks down and new and surprising features appear. Here we leverage the high degree of control in a strongly coupled cold atom system, where for the first time the ratio between coupling strength and frequency inhomogeneities can be tuned. We directly observe the transition from a disordered regime to a polaritonic one with only two resonances. The latter are much narrower than the frequency distribution, as predicted in the context of ''cavity protection''. We find that the concentration of the photonic weight of the coupled light-matter states is a key parameter for this transition, and demonstrate that a simple parameter based on statistics of transmission count spectra provides a robust experimental proxy for this theoretical quantity. Moreover, we realize a dynamically modulated Tavis-Cumming model to produce a comb of narrow polariton resonances protected from the disorder, with potential applications to quantum networks.
description: We thank G. Pupillo and J. Schachenmayer for discussion within the ANR project CLIMAQS. This project has received funding from: Agence Nationale de la Recherche (ANR) (SAROCEMA project, ANR-14-CE32-0002); European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme Grant agreement No 671133 (EQUEMI project). It has been supported by Region Ile-de-France in the framework of DIM SIRTEQ. S. Schwartz acknowledges funding from the European Union under the Marie Sklodowska Curie Individual Fellowship Programme H2020-MSCA-IF-2014 (project No. 658253)
DOI: 10.6084/m9.figshare.21528801
title: Western_Antarctic_Peninsula_humpback_whale_body_condition_data.csv

description: Dataset used in analysis from: <br> Bierlich KC, Hewitt J, Schick R, Pallin L, Dale J, Friedlaender A, Christiansen F, Sprogis KR, Dawn AH, Bird CN, Larsen GD, Nichols R, Shero MR, Goldbogen J, Read AJ and Johnston DW (2022) Seasonal gain in body condition of foraging humpback whales along the Western Antarctic Peninsula. Front. Mar. Sci. 9:1036860. doi: 10.3389/fmars.2022.1036860 <br> Since the output of the uncertainty model is a posterior distribution for each measurement, we summarize each measurement using the mean of the posterior distribution and describe the uncertainty as the variance and 95% highest posterior density (HPD) intervals. So, for total length (TL), use TL.mean as the equivalent of a point estimate for TL. Use TL.var for the variance, and TL.lower and TL.upper for the lower and upper HPD interval, respectively. TL.cv is the coefficient of variation (CV%) of the posterior distribution. Same goes for body condition, which we measure as body area index (BAI). <br> Explanation of some other headers: class = reproductive clas pregnant = pregnancy status from biopsy sample analysis of progesterone mom_calf = indicates if individual is a "mom" or a "calf" mom_calf_pair = indicates the mom and calf pair number datetime = date w/ GMT time season = austral spring to fall; Season 1 (2016-2017), Season 2 (2017-2018), Season 3 (2018-2019) seasonal_duration = the number of days since the "start" of the season, which we set as Nov. 1 Lab = Duke University Marine Robotics and Remote Sensing (MaRRS) Lab or Fredrik Christiansen (FC) Aircraft = type of drone Flight = the flight ID Focal_Length = focal length (mm) of the camera Sw = sensor width of camera (mm) Iw = image width of camera (px)
DOI: 10.5066/p9e1liz0
title: Application of Simplified Site Characterization Method (SSCM) active- and passive-source surveys at 39 sites across California

description: The Simplified Site Characterization Method (SSCM) was employed to obtain VS30 data at 39 sites across California. These geophysical surveys utilized both active- and passive-source methods wherever site conditions allowed. Primary focus was on characterization of seismic stations. Major regions surveyed include the San Francisco Bay Area, Anza Valley, Imperial Valley, Los Angeles, and Santa Barbara. Also characterized were 4 PG&E dams. Active-source methods were designed for Rayleigh-wave MASW analysis, while passive-source methods were designed for use with ESAC analysis approach. Also included in this data release are data sets for geophysical surveys of five seismic stations done by standard approach surface-wave methods.
DOI: 10.21227/95r5-9848
title: The Influence of Modality on AV Explanations’ Effectiveness

description: Explanations — reasons or justifications for action — are being used to promote the acceptance of automated vehicles (AVs). Yet, it is unclear whether and how the modality of explanation affects its effectiveness. To expand our understanding of AV explanation, we conducted a within-subjects experiment with 32 participants using a high-fidelity driving simulator. Four conditions were presented to participants: (1) auditory explanation with a non-driving-related task (NDRT), (2) auditory explanation without NDRT, (3) visual explanation with NDRT, and (4) visual explanation without NDRT. This dataset includes information about the subjects, conditions, dependent variables (anxiety, unsafety), and independent variables (modality, tasks, technology suspicion).
DOI: 10.5066/p984rso6
title: Stable isotope and video observational data from the RL1905 EXPRESS expedition in 2019

description: Data to support the site characterization of locations sampled along the continental shelf and slope of the western U.S. coast off Washington, Oregon and California during the EXPRESS RL1905 expedition in 2019. Data consisted of tissue samples from fauna, sediments and particulate organic matter. These samples were analyzed for stable carbon and nitrogen isotopes to examine food web ecology. Additional observational data were collected through video analyses with efforts focused on documenting counts of fauna other than corals, sponges and fishes, as well as general habitat characteristics.
DOI: 10.34740/kaggle/dsv/4478812
title: The Dollar Street Dataset
DOI: 10.5517/ccdc.csd.cc1z9w49
title: CCDC 1826741: Experimental Crystal Structure Determination

description: Related Article: Shen Shen, Hongming Wang, Guomin, Xia|2022|CSD Communication|||
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.cc2c7zwh
title: CCDC 2182427: Experimental Crystal Structure Determination

description: Related Article: Michel Stephan, Wiebke Dammann, Peter Burger|2022|Dalton Trans.|51|13396|doi:10.1039/D2DT02307E
description: Related Article: Michel Stephan, Wiebke Dammann, Peter Burger|2022|CSD Communication|||
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.cc2c807x
title: CCDC 2182438: Experimental Crystal Structure Determination

description: Related Article: Michel Stephan, Wiebke Dammann, Peter Burger|2022|Dalton Trans.|51|13396|doi:10.1039/D2DT02307E
description: Related Article: Michel Stephan, Wiebke Dammann, Peter Burger|2022|CSD Communication|||
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.cc2c80nb
title: CCDC 2182451: Experimental Crystal Structure Determination

description: Related Article: Michel Stephan, Wiebke Dammann, Peter Burger|2022|Dalton Trans.|51|13396|doi:10.1039/D2DT02307E
description: Related Article: Michel Stephan, Wiebke Dammann, Peter Burger|2022|CSD Communication|||
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.cc2c83lc
title: CCDC 2182542: Experimental Crystal Structure Determination

description: Related Article: Pavel Sakharov, Mikhail Novikov|2022|CSD Communication|||
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.cc2c83vm
title: CCDC 2182550: Experimental Crystal Structure Determination

description: Related Article: Junkuo Gao|2022|CSD Communication|||
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.cc2c89rq
title: CCDC 2182733: Experimental Crystal Structure Determination

description: Related Article: Sukao Peng|2022|CSD Communication|||
description: Related Article: Su-Kao Peng, Hu Yang, Dong Luo, Mo Xie, Wen-Jing Tang, Guo-Hong Ning, Dan Li|2022|Inorg.Chem.Front.|9|5327|doi:10.1039/D2QI01427K
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.cc2c89xw
title: CCDC 2182738: Experimental Crystal Structure Determination

description: Related Article: Sukao Peng|2022|CSD Communication|||
description: Related Article: Su-Kao Peng, Hu Yang, Dong Luo, Mo Xie, Wen-Jing Tang, Guo-Hong Ning, Dan Li|2022|Inorg.Chem.Front.|9|5327|doi:10.1039/D2QI01427K
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.cc2cj01z
title: CCDC 2190120: Experimental Crystal Structure Determination

description: Related Article: Tiansi Xin, Michael Geeson, Hui Zhu, Zheng-wang Qu, Stefan Grimme, Christopher Cummins|2022|Chemical Science|13|12696|doi:10.1039/D2SC05011K
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.cc2cj020
title: CCDC 2190121: Experimental Crystal Structure Determination

description: Related Article: Tiansi Xin, Michael Geeson, Hui Zhu, Zheng-wang Qu, Stefan Grimme, Christopher Cummins|2022|Chemical Science|13|12696|doi:10.1039/D2SC05011K
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.cc2cj031
title: CCDC 2190122: Experimental Crystal Structure Determination

description: Related Article: Tiansi Xin, Michael Geeson, Hui Zhu, Zheng-wang Qu, Stefan Grimme, Christopher Cummins|2022|Chemical Science|13|12696|doi:10.1039/D2SC05011K
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.cc2ckzhf
title: CCDC 2192025: Experimental Crystal Structure Determination

description: Related Article: Jani Faber, Anke Wilhelm, Francois Jacobs|2022|CSD Communication|||
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.cc2cnw31
title: CCDC 2194803: Experimental Crystal Structure Determination

description: Related Article: Peilin Tian, Wenkang Ye, Xiayan Zhang, Yi Tong, Pei-Yuan Qian, Rongbiao Tong|2022|Chemical Science|13|12776|doi:10.1039/D2SC05049H
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.cc2cylnl
title: CCDC 2203190: Experimental Crystal Structure Determination

description: Related Article: Shannon E. Cooney, Alex A. Fertig, Madeleine R. Buisch, William W. Brennessel, Ellen M. Matson|2022|Chemical Science|13|12726|doi:10.1039/D2SC04843D
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.cc2cnhp7
title: CCDC 2194449: Experimental Crystal Structure Determination

description: Related Article: Bing-Fan Long, Shui Yu, Zhong-Hong Zhu, Yun-Lan Li, Fu-Pei Liang, Hua-Hong Zou|2022|Inorg.Chem.Front.|9|5950|doi:10.1039/D2QI01711C
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.cc2cnhq8
title: CCDC 2194450: Experimental Crystal Structure Determination

description: Related Article: Bing-Fan Long, Shui Yu, Zhong-Hong Zhu, Yun-Lan Li, Fu-Pei Liang, Hua-Hong Zou|2022|Inorg.Chem.Front.|9|5950|doi:10.1039/D2QI01711C
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.cc2cnhr9
title: CCDC 2194451: Experimental Crystal Structure Determination

description: Related Article: Bing-Fan Long, Shui Yu, Zhong-Hong Zhu, Yun-Lan Li, Fu-Pei Liang, Hua-Hong Zou|2022|Inorg.Chem.Front.|9|5950|doi:10.1039/D2QI01711C
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.cc2cnhsb
title: CCDC 2194452: Experimental Crystal Structure Determination

description: Related Article: Bing-Fan Long, Shui Yu, Zhong-Hong Zhu, Yun-Lan Li, Fu-Pei Liang, Hua-Hong Zou|2022|Inorg.Chem.Front.|9|5950|doi:10.1039/D2QI01711C
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: 10.5281/zenodo.7308682
title: Electron Diffraction (MicroED) Datasets for Finafloxacin (+)-Menthyl Carbamate (Glacios TEM with a CETA-D)

description: Electron diffraction datasets collected from finafloxacin (+)-menthyl carbamate Microscope: Thermo Fisher Scientific Glacios Transmission Electron Microscope (SDC1G at NanoImaging Services) Camera: Ceta-D camera (bin 2x2, rolling shutter, noise reduction mode) Collection Software: Leginon (Cheng, et. al. 2021)* Collection Parameters: 200keV, -193C, 20um C2, gun lens 7.1, spot size 10, parallel beam, calibrated camera length 1065.7mm (1100 in UI), oscillation per frame 0.89deg, 222ms exposure time, tilt speed 4 deg/s, rotation -60 to +60 (first ~8 degrees not recorded) Grid: Ted Pella 01840 Sample: finafloxacin (+)-menthyl carbamate (C<sub>31</sub>H<sub>37</sub>FN<sub>4</sub>O<sub>6</sub>, 7-[(4aS,7aS)-4-({[(1S,2R,5S)-5-methyl-2-(propan-2-yl)cyclohexyl]oxy}carbonyl)-octahydropyrrolo[3,4-b][1,4]oxazin-6-yl]-8-cyano-1-cyclopropyl-6-fluoro-4-oxo-1,4-dihydroquinoline-3-carboxylic acid), 580.66 g/mol Structure: CCDC 2168647 * Data have been converted to SMV format with the addition of an offset value to remove negative pixel values. This offset value can be found in the image headers, along with a suggested pedestal value. A data processing tutorial is available for processing data collected with this setup using DIALS: https://dials.github.io/documentation/tutorials/3DED/Biotin.html Funding: NIH/NIGMS grant number 1R44GM140666
DOI: 10.5281/zenodo.7308681
title: Electron Diffraction (MicroED) Datasets for Finafloxacin (+)-Menthyl Carbamate (Glacios TEM with a CETA-D)

description: Electron diffraction datasets collected from finafloxacin (+)-menthyl carbamate Microscope: Thermo Fisher Scientific Glacios Transmission Electron Microscope (SDC1G at NanoImaging Services) Camera: Ceta-D camera (bin 2x2, rolling shutter, noise reduction mode) Collection Software: Leginon (Cheng, et. al. 2021)* Collection Parameters: 200keV, -193C, 20um C2, gun lens 7.1, spot size 10, parallel beam, calibrated camera length 1065.7mm (1100 in UI), oscillation per frame 0.89deg, 222ms exposure time, tilt speed 4 deg/s, rotation -60 to +60 (first ~8 degrees not recorded) Grid: Ted Pella 01840 Sample: finafloxacin (+)-menthyl carbamate (C<sub>31</sub>H<sub>37</sub>FN<sub>4</sub>O<sub>6</sub>, 7-[(4aS,7aS)-4-({[(1S,2R,5S)-5-methyl-2-(propan-2-yl)cyclohexyl]oxy}carbonyl)-octahydropyrrolo[3,4-b][1,4]oxazin-6-yl]-8-cyano-1-cyclopropyl-6-fluoro-4-oxo-1,4-dihydroquinoline-3-carboxylic acid), 580.66 g/mol Structure: CCDC 2168647 * Data have been converted to SMV format with the addition of an offset value to remove negative pixel values. This offset value can be found in the image headers, along with a suggested pedestal value. A data processing tutorial is available for processing data collected with this setup using DIALS: https://dials.github.io/documentation/tutorials/3DED/Biotin.html Funding: NIH/NIGMS grant number 1R44GM140666