cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4807408
title: Dataset for PRL 128, 070604: Dynamics of Information Erasure et Extension of Landauer's Bound to Fast Processes

description: <strong>1) Figures_2, 3 and 4 : Matlab figures</strong> Matlab figures corresponding to the ones of the article. The Data used to plot these figures is stored in the Zenodo deposit linked to the PRL article : <em>Phys. Rev. Lett. 126, 170601 : Information and thermodynamics : fast and precise approach to Landauer's bound in an underdamped micro-mechanical oscillator</em> <pre>DOI : 10.5281/zenodo.4626559</pre> <strong>2) displaytoc.m and Simulation.m : Matlab Scripts</strong> Code to simulate N erasure operations on the cantilever. It provides simulated PDF for the position and the velocity of the cantilever. Besides the code also implements the model detailed in the article and compare the results of the model to the simulation data.
DOI: 10.5281/zenodo.4807409
title: Dataset for PRL 128, 070604: Dynamics of Information Erasure et Extension of Landauer's Bound to Fast Processes

description: <strong>1) Figures_2, 3 and 4 : Matlab figures</strong> Matlab figures corresponding to the ones of the article. The Data used to plot these figures is stored in the Zenodo deposit linked to the PRL article : <em>Phys. Rev. Lett. 126, 170601 : Information and thermodynamics : fast and precise approach to Landauer's bound in an underdamped micro-mechanical oscillator</em> <pre>DOI : 10.5281/zenodo.4626559</pre> <strong>2) displaytoc.m and Simulation.m : Matlab Scripts</strong> Code to simulate N erasure operations on the cantilever. It provides simulated PDF for the position and the velocity of the cantilever. Besides the code also implements the model detailed in the article and compare the results of the model to the simulation data.
DOI: 10.5281/zenodo.4904799
title: The HumBug Challenge: ComParE 2022

description: <strong>A large-scale multi-species dataset of acoustic recordings</strong> Dataset compatible with two papers: The <strong>Computational Paralinguistics ChallengE (ComParE): Mosquito Event Detection Task</strong><strong> </strong>https://github.com/EIHW/ComParE2022/tree/MOS-C An update to: <em>HumBugDB: a large-scale acoustic mosquito dataset:</em> NeurIPS 2021 Paper https://github.com/HumBug-Mosquito/HumBugDB. A large-scale multi-species dataset containing recordings of mosquitoes collected from multiple locations globally, as well as via different collection methods. In total, we present 20 hours of labelled mosquito data with 15 hours of corresponding background noise, recorded at the sites of 8 experiments. Of these, 64,843 seconds contain species metadata, consisting of 36 species (or species complexes). This repository contains: Audio files to be extracted into <em>audio/data/</em><em>train</em> and <em>audio/data/</em><em>dev/{a/b} respectively</em> Metadata in <em>csv</em> format: neurips_2021_zenodo_0_0_2.csv
description: Funding from the 2014 Google Impact Challenge Award, and The Bill and Melinda Gates Foundation (https://www.gatesfoundation.org/about/committed-grants/2019/07/opp1209888)
DOI: 10.5281/zenodo.6049444
title: Data for "Paris Agreement requires substantial, broad, and sustained policy efforts beyond COVID-19 recovery packages"

description: This dataset contains the underlying data for the following publication: Tanaka, K., C. Azar, O. Boucher, P. Ciais, Y. Gaucher, D. J. A. Johansson (2022) Paris Agreement requires substantial, broad, and sustained policy efforts beyond COVID-19 public stimulus packages. <em>Climatic Change</em> <strong>172, </strong>1 (2022). https://doi.org/10.1007/s10584-022-03355-6 Earlier manuscripts were published as a preprint. https://arxiv.org/abs/2104.08342
description: K.T. benefited from State assistance managed by the National Research Agency in France under the Programme d'Investissements d'Avenir under the reference ANR-19-MPGA-0008.
DOI: 10.5281/zenodo.6438403
title: Images for "Analogue cosmological particle creation in an ultracold quantum fluid of light"

description: The raw images used to create the plots shown in "Analogue cosmological particle creation in an ultracold quantum fluid of light".
DOI: 10.5281/zenodo.6534224
title: Supporting data for "Multipartite entangled states in dipolar quantum simulators"

description: Supporting data for "Multipartite entangled states in dipolar quantum simulators" (https://arxiv.org/abs/2205.03910.), by Tommaso Comparin, Fabio Mezzacapo and Tommaso Roscilde. If you use these data in a scientific work, please cite the corresponding article. This dataset includes tVMC and exact results for the two-dimensional dipolar XX model, on square or triangular (periodic) lattices. These results are directly shown in Figures 1-5 of the main text, with the following organization:<br> - See Fig_collective_spin_dynamics for Fig. 1(b); see Fig_GHZ_fidelity for Fig. 1(d).<br> - See Fig_spin_squeezing for Fig. 2.<br> - See Fig_full_counting_statistics_N20 for Fig. 3.<br> - See Fig_Fisher_information_inequality for Fig. 4.<br> - See Fig_GHZ_fidelity for Fig. 5. We also include the exact-diagonalization results shown in Fig. 7 of the Supplementary Material -- see Fig_tower_of_states.
DOI: 10.5281/zenodo.6534556
title: Neutron spin echo and intramolecular FRET and DEER-EPR measurements on hGBP1 (human guanylate binding protein 1)

description: Neutron spin echo (NSE), double electron–electron resonance (<em>DEER</em>) <em>EPR</em>, ensemble time-correlated single photon counting (eTCSPC) fluorescence, and single-molecule detection (SMD) fluorescence spectroscopy data of the human guanylate binding protein 1 (hGBP1). CSH prepared samples for smFRET and performed protein activity assays. TV prepared sampled for EPR measurements. TOP, CSH, and AV performed the smFRET measurements under the supervision of CAMS. TOP analyzed the smFRET measurements. JPK performed and analyzed the EPR measurements.
DOI: 10.5281/zenodo.6561483
title: Table of Individual MMT Hectochelle Observations of the Triangulum II Field

description: Complete table of observations of the Triangulum II dwarf galaxy from MMT Hectochelle used in Buttry et. al 2022
DOI: 10.5281/zenodo.5104288
title: Data for "Paris Agreement requires substantial, broad, and sustained policy efforts beyond COVID-19 recovery packages"

description: This dataset contains the underlying data for the following publication: Tanaka, K., C. Azar, O. Boucher, P. Ciais, Y. Gaucher, D. J. A. Johansson (2022) Paris Agreement requires substantial, broad, and sustained policy efforts beyond COVID-19 public stimulus packages. <em>Climatic Change</em> <strong>172, </strong>1 (2022). https://doi.org/10.1007/s10584-022-03355-6 Earlier manuscripts were published as a preprint. https://arxiv.org/abs/2104.08342
description: K.T. benefited from State assistance managed by the National Research Agency in France under the Programme d'Investissements d'Avenir under the reference ANR-19-MPGA-0008.
DOI: 10.5281/zenodo.5525213
title: Supplemental data for characterization of alpha and beta interactions using the HeXe setup [Eur. Phys. J. C 82, 361]

description: Repository with supplemental data to:<br> <strong>Characterization of alpha and beta interactions in liquid xenon</strong>. Jörg, F., Cichon, D., Eurin, G. <em>et al. Eur. Phys. J. C</em> <strong>82, </strong>361 (2022) 10.1140/epjc/s10052-022-10259-3<br> A pre-print of the article is available <em>on arXiv: </em>2109.13735 <strong>Note: </strong>When re-using the data, please make sure to cite the article (and not only the dataset) <br> The files contain the measured data points (as well as their statistical and systematic uncertainties) as shown in the publication.<br> All datasets are stored in the .csv format. <strong>20210924_yields_hexe_kr83m.csv</strong><br> This file contains the normalized light and charge yields as a function of the applied field from the measurement with the <sup>83m</sup>Kr source. The data is shown in Figure 16 (dots) of the publication. Furthermore the file contains the LY ratio between the two Isomeric transitions of the <sup>83m</sup>Kr source, shown in Figure 17 of the article. <strong>20210924_yields_hexe_rn222.csv</strong><br> This file contains the normalized light and charge yields as a function of the applied field from the measurement with the <sup>222</sup>Rn source. The data is shown in Figure 18 (blue-ish points) of the publication <strong>20210924_drift_velocity_hexe_rn222.csv</strong><br> This file contains the measured electron drift velocity in liquid xenon at a temperature of 174.4 K in dependence of the field. The data was acquired using the <sup>222</sup>Rn source. Drift velocity is given in units of mm/µs and the datapoints are shown in Figure 20 (black dots) of the publication <strong>20210924_drift_velocity_hexe_kr83m.csv</strong><br> This file contains the measured electron drift velocity in liquid xenon at a temperature of 174.4 K in dependence of the field. The data was acquired using the <sup>83m</sup>Kr source. Drift velocity is given in units of mm/µs and are not displayed in the publications due to visibility reasons. <strong>Minimum working example to plot the drift velocity using the <sup>83m</sup>Kr data:</strong> <pre><code class="language-python"> 1 import numpy as np 2 import matplotlib.pyplot as plt 3 4 # load the data set 5 data = np.loadtxt("20220427_drift_velocity_hexe_kr83m.csv", delimiter=",") 6 7 # Plot the systematic uncertainty on the drift field 8 plt.errorbar(data[:,0], data[:,2], xerr=data[:,1], fmt="o", capsize=2, ecolor="darkgray", 9 alpha=0.7, elinewidth=3, color="black") 10 11 # Plot the actual data points 12 plt.errorbar(data[:,0], data[:,2], yerr=data[:,3], fmt="o", color="black") 13 14 # Label the axis and define the range 15 plt.ylabel("Drift Velocity [mm/µs]") 16 plt.xlabel("Drift Field [kV/cm]") 17 plt.xscale("log") 18 plt.xlim(0.006, 2) 19 plt.ylim(0, 2.4) 20 plt.show() </code></pre>
DOI: 10.5281/zenodo.6412087
title: Supplementary material: Multi-wavelength view of the close-by GRB~190829A sheds light on gamma-ray burst physics

description: This repository contains supplementary data regarding the article "Multi-wavelength view of the close-by GRB~190829A sheds light on gamma-ray burst physics" published by the Astrophysical Journal Letters. In particular, the repository contains: Markov Chain Monte Carlo samples for both the afterglow modelling and the circular gaussian fits to VLBI data clean radio images, residuals and UV coverage plots for all our VLBI epochs Data formats should be self-explanatory. Do not hesitate to contact us at omsharan.salafia@gmail.com for any question.
DOI: 10.5281/zenodo.6412088
title: Supplementary material: Multi-wavelength view of the close-by GRB~190829A sheds light on gamma-ray burst physics

description: This repository contains supplementary data regarding the article "Multi-wavelength view of the close-by GRB~190829A sheds light on gamma-ray burst physics" published by the Astrophysical Journal Letters. In particular, the repository contains: Markov Chain Monte Carlo samples for both the afterglow modelling and the circular gaussian fits to VLBI data clean radio images, residuals and UV coverage plots for all our VLBI epochs Data formats should be self-explanatory. Do not hesitate to contact us at omsharan.salafia@gmail.com for any question.
DOI: 10.5281/zenodo.6478589
title: The HumBug Challenge: ComParE 2022

description: <strong>A large-scale multi-species dataset of acoustic recordings</strong> Dataset compatible with two papers: The <strong>Computational Paralinguistics ChallengE (ComParE): Mosquito Event Detection Task</strong><strong> </strong>https://github.com/EIHW/ComParE2022/tree/MOS-C An update to: <em>HumBugDB: a large-scale acoustic mosquito dataset:</em> NeurIPS 2021 Paper https://github.com/HumBug-Mosquito/HumBugDB. A large-scale multi-species dataset containing recordings of mosquitoes collected from multiple locations globally, as well as via different collection methods. In total, we present 20 hours of labelled mosquito data with 15 hours of corresponding background noise, recorded at the sites of 8 experiments. Of these, 64,843 seconds contain species metadata, consisting of 36 species (or species complexes). This repository contains: Audio files to be extracted into <em>audio/data/</em><em>train</em> and <em>audio/data/</em><em>dev/{a/b} respectively</em> Metadata in <em>csv</em> format: neurips_2021_zenodo_0_0_2.csv
description: Funding from the 2014 Google Impact Challenge Award, and The Bill and Melinda Gates Foundation (https://www.gatesfoundation.org/about/committed-grants/2019/07/opp1209888)
DOI: 10.5281/zenodo.6497602
title: Supplemental data for characterization of alpha and beta interactions using the HeXe setup [Eur. Phys. J. C 82, 361]

description: Repository with supplemental data to:<br> <strong>Characterization of alpha and beta interactions in liquid xenon</strong>. Jörg, F., Cichon, D., Eurin, G. <em>et al. Eur. Phys. J. C</em> <strong>82, </strong>361 (2022) 10.1140/epjc/s10052-022-10259-3<br> A pre-print of the article is available <em>on arXiv: </em>2109.13735 <strong>Note: </strong>When re-using the data, please make sure to cite the article (and not only the dataset) <br> The files contain the measured data points (as well as their statistical and systematic uncertainties) as shown in the publication.<br> All datasets are stored in the .csv format. <strong>20210924_yields_hexe_kr83m.csv</strong><br> This file contains the normalized light and charge yields as a function of the applied field from the measurement with the <sup>83m</sup>Kr source. The data is shown in Figure 16 (dots) of the publication. Furthermore the file contains the LY ratio between the two Isomeric transitions of the <sup>83m</sup>Kr source, shown in Figure 17 of the article. <strong>20210924_yields_hexe_rn222.csv</strong><br> This file contains the normalized light and charge yields as a function of the applied field from the measurement with the <sup>222</sup>Rn source. The data is shown in Figure 18 (blue-ish points) of the publication <strong>20210924_drift_velocity_hexe_rn222.csv</strong><br> This file contains the measured electron drift velocity in liquid xenon at a temperature of 174.4 K in dependence of the field. The data was acquired using the <sup>222</sup>Rn source. Drift velocity is given in units of mm/µs and the datapoints are shown in Figure 20 (black dots) of the publication <strong>20210924_drift_velocity_hexe_kr83m.csv</strong><br> This file contains the measured electron drift velocity in liquid xenon at a temperature of 174.4 K in dependence of the field. The data was acquired using the <sup>83m</sup>Kr source. Drift velocity is given in units of mm/µs and are not displayed in the publications due to visibility reasons. <strong>Minimum working example to plot the drift velocity using the <sup>83m</sup>Kr data:</strong> <pre><code class="language-python"> 1 import numpy as np 2 import matplotlib.pyplot as plt 3 4 # load the data set 5 data = np.loadtxt("20220427_drift_velocity_hexe_kr83m.csv", delimiter=",") 6 7 # Plot the systematic uncertainty on the drift field 8 plt.errorbar(data[:,0], data[:,2], xerr=data[:,1], fmt="o", capsize=2, ecolor="darkgray", 9 alpha=0.7, elinewidth=3, color="black") 10 11 # Plot the actual data points 12 plt.errorbar(data[:,0], data[:,2], yerr=data[:,3], fmt="o", color="black") 13 14 # Label the axis and define the range 15 plt.ylabel("Drift Velocity [mm/µs]") 16 plt.xlabel("Drift Field [kV/cm]") 17 plt.xscale("log") 18 plt.xlim(0.006, 2) 19 plt.ylim(0, 2.4) 20 plt.show() </code></pre>
DOI: 10.5281/zenodo.6498891
title: Imaging topological defects in a non-collinear antiferromagnet

description: Data related to the publication, arXiv 2202.02243.
description: Other funding: ANR project TATOO (ANR-21-CE09-0033-01), DARPA TEE program, LABEX NanoSaclay, ref. ANR-10-LABX-0035, SPiCY, Sesame Ile de France IMAGeSPIN project (No. EX039175)
DOI: 10.48567/xwry-sr37
title: Possession Island Automatic Weather Station, 1993 Reader format three-hour observational data.
DOI: 10.48567/4wgf-gr33
title: Racer Rock Automatic Weather Station, 1993 Reader format three-hour observational data.
DOI: 10.48567/scr5-8n75
title: Sandra Automatic Weather Station, 1993 Reader format three-hour observational data.
DOI: 10.48567/eaa3-1t76
title: Schwerdtfeger Automatic Weather Station, 1993 Reader format three-hour observational data.
DOI: 10.48567/ee3j-bg49
title: Scott Island Automatic Weather Station, 1993 Reader format three-hour observational data.
DOI: 10.48567/zsfs-g393
title: Uranus Glacier Automatic Weather Station, 1993 Reader format three-hour observational data.
DOI: 10.48567/yenm-3v73
title: Whitlock Automatic Weather Station, 1993 Reader format three-hour observational data.
DOI: 10.48567/5292-cf27
title: Willie Field Automatic Weather Station, 1993 Reader format three-hour observational data.
DOI: 10.48567/089b-d611
title: Young Island Automatic Weather Station, 1993 Reader format three-hour observational data.
DOI: 10.48567/f40k-et78
title: AGO-A81 Automatic Weather Station, 1994 Reader format three-hour observational data.
DOI: 10.48567/ec74-ms29
title: Bonaparte Point Automatic Weather Station, 1994 Reader format three-hour observational data.
DOI: 10.48567/zwrk-ar70
title: Brianna Automatic Weather Station, 1994 Reader format three-hour observational data.
DOI: 10.48567/3cs0-rp44
title: Butler Island Automatic Weather Station, 1994 Reader format three-hour observational data.
DOI: 10.48567/8tey-kx65
title: Byrd Automatic Weather Station, 1994 Reader format three-hour observational data.
DOI: 10.48567/rmed-sh58
title: Cape Denison Automatic Weather Station, 1994 Reader format three-hour observational data.
DOI: 10.48567/15e2-zw05
title: Cape Webb Automatic Weather Station, 1994 Reader format three-hour observational data.
DOI: 10.48567/w3sq-9c40
title: Clean Air Automatic Weather Station, 1994 Reader format three-hour observational data.
DOI: 10.48567/h4j9-wg10
title: D-10 Automatic Weather Station, 1994 Reader format three-hour observational data.
DOI: 10.48567/b325-kd67
title: D-47 Automatic Weather Station, 1994 Reader format three-hour observational data.
DOI: 10.48567/wnyp-wc70
title: D-80 Automatic Weather Station, 1994 Reader format three-hour observational data.
DOI: 10.5517/ccdc.csd.cc29g0kc
title: CCDC 2128632: Experimental Crystal Structure Determination

description: Related Article: Ana De Oliveira Silva, Jordan L. Harper, Katherine N. Fuhr, Roger A. Lalancette, Paul Ha-Yeon Cheong, Stacey E. Brenner-Moyer|2022|J.Org.Chem.|87|10105|doi:10.1021/acs.joc.2c01079
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.cc2b8k28
title: CCDC 2153169: Experimental Crystal Structure Determination

description: Related Article: Lang Zhao, Yan Yan, Zhong-Lin Wei, Wei-Wei Liao|2022|J.Org.Chem.|87|10090|doi:10.1021/acs.joc.2c01072
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: 10.48567/bjad-fv51
title: Dome C Automatic Weather Station, 1994 Reader format three-hour observational data.
DOI: 10.5517/ccdc.csd.cc2bnn3s
title: CSD 2164795: Experimental Crystal Structure Determination

description: Related Article: Matteo Ceppatelli, Demetrio Scelta, Manuel Serrano-Ruiz, Kamil Dziubek, Fernando Izquierdo-Ruiz, J. Manuel Recio, Gaston Garbarino, Volodymyr Svitlyk, Mohamed Mezouar, Maurizio Peruzzini, Roberto Bini|2022|Inorg.Chem.|61|12165|doi:10.1021/acs.inorgchem.2c01190
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bp0nq
title: CCDC 2165153: Experimental Crystal Structure Determination

description: Related Article: You Ge, Zhou Lu, Shengyu Dai|2022|Organometallics|41|2042|doi:10.1021/acs.organomet.2c00207
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: 10.48567/zwvz-9008
title: Doug Automatic Weather Station, 1994 Reader format three-hour observational data.
DOI: 10.48567/kmw1-xd28
title: Elaine Automatic Weather Station, 1994 Reader format three-hour observational data.
DOI: 10.48567/hq79-vy98
title: Erin Automatic Weather Station, 1994 Reader format three-hour observational data.
DOI: 10.7284/131843
title: INS (Inertial Navigation System) data collected during research cruise AE1814 using a MXMarine MX612 instrument system onboard the platform RV Atlantic Explorer

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.48567/gg09-6a73
title: Ferrell Automatic Weather Station, 1994 Reader format three-hour observational data.
DOI: 10.7284/131842
title: Winch data collected during research cruise AE1814 using a Markey DUSH-5 instrument system onboard the platform RV Atlantic Explorer

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.48567/hnjv-3206
title: Gill Automatic Weather Station, 1994 Reader format three-hour observational data.
DOI: 10.48567/xyxn-fx55
title: Harry Automatic Weather Station, 1994 Reader format three-hour observational data.
DOI: 10.6084/m9.figshare.20459403
title: Antibiotic resistant bacteria in drinking water from Greater Accra Ghana: a cross-sectional study, December, 2021-March, 2022_Dataset.xlsx

description: Dataset for drinking water samples from the Greater Accra Region of Ghana.This study assessed the presence of bacteria and the antibiotic resistance profile of<em> Escherichia coli</em> and <em>Pseudomonas aeruginosa</em> in drinking water sources. A total of 524 water samples were analysed for total coliforms (TC), total heterotrophic bacteria, <em>E. coli</em> and <em>P. aeruginosa</em>. Samples included sachet, bottle, tap water, borehole and well water.
DOI: 10.6084/m9.figshare.20459403.v1
title: Antibiotic resistant bacteria in drinking water from Greater Accra Ghana: a cross-sectional study, December, 2021-March, 2022_Dataset.xlsx

description: Dataset for drinking water samples from the Greater Accra Region of Ghana.This study assessed the presence of bacteria and the antibiotic resistance profile of<em> Escherichia coli</em> and <em>Pseudomonas aeruginosa</em> in drinking water sources. A total of 524 water samples were analysed for total coliforms (TC), total heterotrophic bacteria, <em>E. coli</em> and <em>P. aeruginosa</em>. Samples included sachet, bottle, tap water, borehole and well water.
DOI: 10.48567/4qtj-bq78
title: Henry Automatic Weather Station, 1994 Reader format three-hour observational data.
DOI: 10.48567/xrwm-cd25
title: JC Automatic Weather Station, 1994 Reader format three-hour observational data.
DOI: 10.48567/74v7-f213
title: Kelly Automatic Weather Station, 1994 Reader format three-hour observational data.
DOI: 10.48567/2nmp-dx84
title: Larsen Ice Shelf Automatic Weather Station, 1994 Reader format three-hour observational data.
DOI: 10.48567/hfge-5m23
title: Lettau Automatic Weather Station, 1994 Reader format three-hour observational data.
DOI: 10.48567/8mfq-dx94
title: Linda Automatic Weather Station, 1994 Reader format three-hour observational data.