cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4081631
title: Utility of acoustic indices for ecological monitoring in complex sonic environments

description: Abstract With the continued adoption of passive acoustic monitoring as a tool for rapid and high-resolution ecosystem monitoring, ecologists are increasingly making use of a suite of acoustic indices to summarise the sonic environment. Though these indices are often reported to well represent some aspect of the biology of an ecosystem, the degree to which they are confounded by various extraneous sonic conditions is largely unknown. We conducted an aural inventory across 23 field sites in Okinawa to identify the number of unique animal sounds present in recordings. Using these values of ‘measured richness’, we then examined how the performance of 11 commonly-used acoustic indices varied across a range of sonic conditions (including in the presence and absence of insect stridulations, audible wind or rain, and human-related sounds). Our analysis identified both well- and poor-performing acoustic indices, as well as those that were particularly sensitive to sonic conditions. Only two indices reflected measured richness across the full range of sonic conditions examined. A few indices were relatively insensitive to extraneous sonic conditions, but no index correlated with measured richness when masked by sound from broadband stridulating insects. Our results demonstrate considerable sensitivity of most commonly used acoustic indices to confounding sonic conditions, highlighting the challenges of working with large acoustic datasets collected in the field. We make practical recommendations for acoustic index use based on study design, with the aim of identifying the suite of acoustic indices with greatest utility as indicators for rapid biodiversity monitoring and management of the world’s natural soundscapes. Methods The dataset contains the names of audio files collected across 23 field sites between April 2017 and January 2018 as part of the OKEON-Churamori project on the island of Okinawa, Japan. We conducted an aural inventory, manually counting and recording the number of unique biotic sounds (approximately corresponding to species richness) and noting the presence or absence of three potentially confounding sonic conditions: audible geophony (wind, rain etc.), anthropophony (human-related sounds), and broadband sounds produced by stridulating insect (e.g. cicadas, orthopterans). We then calculated 11 commonly used acoustic indices from the literature and compared their performance (correlation with richness) in the presence vs absence of each sonic condition. Our dataset also contains time and date information for each recording, and the mean site-level richness (i.e. across multiple recordings) for each site and for each unique site-by-season combination. See Table A2 and Methods section in the associated manuscript for details on data processing and the calculation of acoustic indices. Usage notes See readme file for descriptions of data table structure.
DOI: 10.5281/zenodo.4081624
title: Utility of acoustic indices for ecological monitoring in complex sonic environments

description: Abstract With the continued adoption of passive acoustic monitoring as a tool for rapid and high-resolution ecosystem monitoring, ecologists are increasingly making use of a suite of acoustic indices to summarise the sonic environment. Though these indices are often reported to well represent some aspect of the biology of an ecosystem, the degree to which they are confounded by various extraneous sonic conditions is largely unknown. We conducted an aural inventory across 23 field sites in Okinawa to identify the number of unique animal sounds present in recordings. Using these values of ‘measured richness’, we then examined how the performance of 11 commonly-used acoustic indices varied across a range of sonic conditions (including in the presence and absence of insect stridulations, audible wind or rain, and human-related sounds). Our analysis identified both well- and poor-performing acoustic indices, as well as those that were particularly sensitive to sonic conditions. Only two indices reflected measured richness across the full range of sonic conditions examined. A few indices were relatively insensitive to extraneous sonic conditions, but no index correlated with measured richness when masked by sound from broadband stridulating insects. Our results demonstrate considerable sensitivity of most commonly used acoustic indices to confounding sonic conditions, highlighting the challenges of working with large acoustic datasets collected in the field. We make practical recommendations for acoustic index use based on study design, with the aim of identifying the suite of acoustic indices with greatest utility as indicators for rapid biodiversity monitoring and management of the world’s natural soundscapes. Methods The dataset contains the names of audio files collected across 23 field sites between April 2017 and January 2018 as part of the OKEON-Churamori project on the island of Okinawa, Japan. We conducted an aural inventory, manually counting and recording the number of unique biotic sounds (approximately corresponding to species richness) and noting the presence or absence of three potentially confounding sonic conditions: audible geophony (wind, rain etc.), anthropophony (human-related sounds), and broadband sounds produced by stridulating insect (e.g. cicadas, orthopterans). We then calculated 11 commonly used acoustic indices from the literature and compared their performance (correlation with richness) in the presence vs absence of each sonic condition. Our dataset also contains time and date information for each recording, and the mean site-level richness (i.e. across multiple recordings) for each site and for each unique site-by-season combination. See Table A2 and Methods section in the associated manuscript for details on data processing and the calculation of acoustic indices. Usage notes See readme file for descriptions of data table structure.
DOI: 10.18112/openneuro.ds000248.v1.2.1
title: ds000248
DOI: 10.6084/m9.figshare.13084021
title: dispersion_Ra_w_final.m from Rayleigh–Bénard magnetoconvection with temperature modulation

description: Mat lab code to compute dispersion relations for different values of Rayleigh number and modulation frequency
DOI: 10.6084/m9.figshare.13084021.v1
title: dispersion_Ra_w_final.m from Rayleigh–Bénard magnetoconvection with temperature modulation

description: Mat lab code to compute dispersion relations for different values of Rayleigh number and modulation frequency
DOI: 10.6084/m9.figshare.13084024
title: dispersion_Ra_Pr_final.m from Rayleigh–Bénard magnetoconvection with temperature modulation

description: Mat lab code to compute dispersion relations for different values of Rayleigh number and Prandtl number
DOI: 10.6084/m9.figshare.13084027
title: dispersion_Ra_Q_final.m from Rayleigh–Bénard magnetoconvection with temperature modulation

description: Mat Lab code to compute dispersion relation for different values of Rayleigh number and Chandrasekhar's number
DOI: 10.6084/m9.figshare.13084030
title: MHD_Ra_k_final.m from Rayleigh–Bénard magnetoconvection with temperature modulation

description: Mat lab code to compute the critical values of Rayleigh number and wave number
DOI: 10.6084/m9.figshare.13084030.v1
title: MHD_Ra_k_final.m from Rayleigh–Bénard magnetoconvection with temperature modulation

description: Mat lab code to compute the critical values of Rayleigh number and wave number
DOI: 10.6084/m9.figshare.13084027.v1
title: dispersion_Ra_Q_final.m from Rayleigh–Bénard magnetoconvection with temperature modulation

description: Mat Lab code to compute dispersion relation for different values of Rayleigh number and Chandrasekhar's number
DOI: 10.6084/m9.figshare.13084024.v1
title: dispersion_Ra_Pr_final.m from Rayleigh–Bénard magnetoconvection with temperature modulation

description: Mat lab code to compute dispersion relations for different values of Rayleigh number and Prandtl number
DOI: 10.6084/m9.figshare.12630938
title: Anxiom 450K SNP array for 480 Norwary spurce raw data + Array annotation file

description: Anxiom 450K SNP array data for 480 Norwary spurce samples + Array annotation file
DOI: 10.6084/m9.figshare.12631358
title: Anxiom 50K array for ~300 Norway spruce and annotation file

description: 300 norwary srpuce samples to validate the 50K array
DOI: 10.6084/m9.figshare.12440489
title: Comparison PHW.sav

description: Raw data of "Is Indonesian New Pictorial Health Warning More Effective than the Old One to Motivate Smoking Cessation? A Pilot Evaluation Study in Rural Area"
DOI: 10.6084/m9.figshare.12440489.v1
title: Comparison PHW.sav

description: Raw data of "Is Indonesian New Pictorial Health Warning More Effective than the Old One to Motivate Smoking Cessation? A Pilot Evaluation Study in Rural Area"
DOI: 10.6084/m9.figshare.13083965.v1
title: Untitled Item

description: This data-set provides CO<sub>2</sub> emissions of Russia and its 82 constituent entities from 2005 to 2019.
DOI: 10.6084/m9.figshare.13083890
title: Healthy and Disease affected Leaves of Grape Plant

description: This dataset consists of 1600 images of the grape plant in RGB color-space. The images are categorized into four classes Black-measles, Black-rot, Leaf-blight, and Healthy-leaf.<br>
DOI: 10.5281/zenodo.4084626
title: Replication files for the Value of Unemployment Insurance

description: These files enable the replication of all results from The Value of Unemployment Insurance, forthcoming in the Review if Economic Studies
DOI: 10.5281/zenodo.3987742
title: Codes and datasets associated with the paper "Day-ahead Wind Power Predictions at Regional Scales: Post-processing Operational Weather Forecasts with a Hybrid Neural Network"

description: The jupyter notebooks and datasets associated with the EEM20 forecasts are available here. More details will be provided shortly. Please check the EEM20 website (https://eem20.eu/forecasting-competition/) for the details of the forecasting competition.
DOI: 10.5281/zenodo.3987741
title: Codes and datasets associated with the paper "Day-ahead Wind Power Predictions at Regional Scales: Post-processing Operational Weather Forecasts with a Hybrid Neural Network"

description: The jupyter notebooks and datasets associated with the EEM20 forecasts are available here. More details will be provided shortly. Please check the EEM20 website (https://eem20.eu/forecasting-competition/) for the details of the forecasting competition.
DOI: 10.21227/dn69-ej79
title: DeepWiPHY: Synthetic and real-world IEEE 802.11ax OFDM symbol dataset

description: This dataset is associated with the paper entitled "DeepWiPHY: Deep Learning-based Receiver Design and Dataset for IEEE 802.11ax Systems", accepted by IEEE Transactions on Wireless Communications. It has synthetic and real-word IEEE 802.11ax OFDM symbols. The synthetic dataset has around 110 million OFDM symbols and the real-world dataset has more than 14 million OFDM symbols. Our comprehensive synthetic dataset has specifically considered typical indoor channel models and RF impairments. The real-world dataset was collected under a wide range of signal-to-noise ratio (SNR) levels and at various locations in a large office. To create this real-world dataset, we built a passive sniffing-based data collection testbed with a commercial AP, a Samsung mobile phone and two USRPs.
DOI: 10.6084/m9.figshare.13066829.v1
title: data.rar

description: Fig5-8
DOI: 10.6084/m9.figshare.13066829
title: data.rar

description: The file folder (Fig5) is the observed and the simulated water levels of Tangyin, Xinzi and Duchang stations from 2010 to 2011.<br>The file folder (Fig6) is the raster of landscape from the remote sensing and the simulated results of landscape type by using the MCE–CA–Markov model.<br>The file folder (Fig7) is the spatial distribution raster of water body distance and landscape type with and without sluice.<br>The file folder (Fig8) is the distribution raster of the habitat suitability for Grus leucogeranus without and with sluice operation in Rules 1 and 2.
DOI: 10.6084/m9.figshare.13066829.v3
title: data.rar

description: The file folder (Fig5) is the observed and the simulated water levels of Tangyin, Xinzi and Duchang stations from 2010 to 2011.<br>The file folder (Fig6) is the raster of landscape from the remote sensing and the simulated results of landscape type by using the MCE–CA–Markov model.<br>The file folder (Fig7) is the spatial distribution raster of water body distance and landscape type with and without sluice.<br>The file folder (Fig8) is the distribution raster of the habitat suitability for Grus leucogeranus without and with sluice operation in Rules 1 and 2.
DOI: 10.6084/m9.figshare.13066829.v2
title: data.rar

description: The file folder (Fig5) is the observed and the simulated water levels of Tangyin, Xinzi and Duchang stations from 2010 to 2011.<br>The file folder (Fig6) is the raster of landscape from the remote sensing and the simulated results of landscape type by using the MCE–CA–Markov model.<br>The file folder (Fig7) is the spatial distribution raster of water body distance and landscape type with and without sluice.<br>The file folder (Fig8) is the distribution raster of the habitat suitability for Grus leucogeranus without and with sluice operation in Rules 1 and 2.
DOI: 10.6084/m9.figshare.12769841.v1
title: Raw_data_glideosome.7z

description: All data underlying figures in the paper "Structural role of essential lightchains in the apicomplexan glideosome"
DOI: 10.5517/ccdc.csd.cc223m1w
title: CCDC 1910097: Experimental Crystal Structure Determination

description: Related Article: Gui‐Ting Song,  Chuan‐Hua Qu,  Jie Lei,  Wei Yan,  Dian‐Yong Tang,  Hong‐yu Li,  Zhong‐Zhu Chen,  Zhi‐Gang Xu|2020|Adv.Synth.Catal.|362|4084|doi:10.1002/adsc.202000736
DOI: 10.5517/ccdc.csd.cc235s8c
title: CCDC 1941972: Experimental Crystal Structure Determination

description: Related Article: Zhong-Ping Jiang, Yi Yu, Li Shen|2020|Bioorg.Chem.|104|104206|doi:10.1016/j.bioorg.2020.104206
DOI: 10.5517/ccdc.csd.cc235sbf
title: CCDC 1941974: Experimental Crystal Structure Determination

description: Related Article: Zhong-Ping Jiang, Yi Yu, Li Shen|2020|Bioorg.Chem.|104|104206|doi:10.1016/j.bioorg.2020.104206
DOI: 10.5517/ccdc.csd.cc235scg
title: CCDC 1941975: Experimental Crystal Structure Determination

description: Related Article: Zhong-Ping Jiang, Yi Yu, Li Shen|2020|Bioorg.Chem.|104|104206|doi:10.1016/j.bioorg.2020.104206
DOI: 10.5517/ccdc.csd.cc235sdh
title: CCDC 1941976: Experimental Crystal Structure Determination

description: Related Article: Zhong-Ping Jiang, Yi Yu, Li Shen|2020|Bioorg.Chem.|104|104206|doi:10.1016/j.bioorg.2020.104206
DOI: 10.5517/ccdc.csd.cc23kcpr
title: CCDC 1953114: Experimental Crystal Structure Determination

description: Related Article: Masahiro Yoshida, Miki Shibata, Saaya Mukae, Kouki Kinoshita, Kenji Matsumoto, Tsukasa Hirokane|2019|Tetrahedron Lett.|60|151262|doi:10.1016/j.tetlet.2019.151262
DOI: 10.18112/openneuro.ds000248.v1.2.2
title: ds000248
DOI: 10.6084/m9.figshare.13084100
title: Untitled Item

description: Data for "The influence of social support in caregivers of people with dementia according to the social resource used" by Antelo and Espinosa<br>
DOI: 10.6084/m9.figshare.13084100.v1
title: Untitled Item

description: Data for "The influence of social support in caregivers of people with dementia according to the social resource used" by Antelo and Espinosa<br>
DOI: 10.21227/07cq-pq48
title: Model1.2.1b

description: Tuned loss
DOI: 10.6084/m9.figshare.13082696
title: R0190_20170823a_videos

description: Rat 0190, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.13082696.v1
title: R0190_20170823a_videos

description: Rat 0190, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.5281/zenodo.4084678
title: [FED4FIRE+] [MMT-IoT] 6LoWPAN - IoT Traffic Dataset

description: The dataset contains the pcap files of IoT network traffic captured in the experiments with w-iLab.t and Log-a-Tec testbeds in the context of FED4FIRE+ open call project.
DOI: 10.5281/zenodo.4084677
title: [FED4FIRE+] [MMT-IoT] 6LoWPAN - IoT Traffic Dataset

description: The dataset contains the pcap files of IoT network traffic captured in the experiments with w-iLab.t and Log-a-Tec testbeds in the context of FED4FIRE+ open call project.
DOI: 10.6084/m9.figshare.13072646
title: Mykrobe panel sonnei version 20201012

description: This is sonnei panel data version 20201012, to be used by the command line tool mykrobe
DOI: 10.6084/m9.figshare.13082681.v1
title: R0184_20170822a_videos

description: Rat 0184, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.13082681
title: R0184_20170822a_videos

description: Rat 0184, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.7346120
title: Supplementary Material from Microplastic leachates impair behavioural vigilance and predator avoidance in a temperate intertidal gastropod.

description: Raw data for the 4 behavioral variables considered
DOI: 10.6084/m9.figshare.7346120.v2
title: Supplementary Material from Microplastic leachates impair behavioural vigilance and predator avoidance in a temperate intertidal gastropod.

description: Raw data for the 4 behavioral variables considered
DOI: 10.6084/m9.figshare.7346120.v1
title: Supplementary Material from Microplastic leachates impair behavioural vigilance and predator avoidance in a temperate intertidal gastropod

description: Raw data for the 4 behavioral variables considered
DOI: 10.6084/m9.figshare.7353008
title: Supplementary_Material.tar from Continuation and stability of rotating waves in the magnetized spherical Couette system: secondary transitions and multistability.

description: Rotating waves (RW) bifurcating from the axisymmetric basic magnetized spherical Couette (MSC) flow are computed by means of Newton–Krylov continuation techniques for periodic orbits. In addition, their stability is analysed in the framework of Floquet theory. The inner sphere rotates while the outer is kept at rest and the fluid is subjected to an axial magnetic field. For a moderate Reynolds number <i>Re</i> = 10<sup>3</sup> (measuring inner rotation), the effect of increasing the magnetic field strength (measured by the Hartmann number <i>Ha</i>) is addressed in the range <i>Ha</i>∈(0, 80) corresponding to the working conditions of the HEDGEHOG experiment at Helmholtz-Zentrum Dresden-Rossendorf. The study reveals several regions of multistability of waves with azimuthal wavenumber <i>m</i> = 2, 3, 4, and several transitions to quasi-periodic flows, i.e modulated rotating waves. These nonlinear flows can be classified as the three different instabilities of the radial jet, the return flow and the shear layer, as found in the previous studies. These two flows are continuously linked, and part of the same branch, as the magnetic forcing is increased. Midway between the two instabilities, at a certain critical <i>Ha</i>, the non-axisymmetric component of the flow is maximum.
DOI: 10.6084/m9.figshare.7353008.v2
title: Supplementary_Material.tar from Continuation and stability of rotating waves in the magnetized spherical Couette system: secondary transitions and multistability.

description: Rotating waves (RW) bifurcating from the axisymmetric basic magnetized spherical Couette (MSC) flow are computed by means of Newton–Krylov continuation techniques for periodic orbits. In addition, their stability is analysed in the framework of Floquet theory. The inner sphere rotates while the outer is kept at rest and the fluid is subjected to an axial magnetic field. For a moderate Reynolds number <i>Re</i> = 10<sup>3</sup> (measuring inner rotation), the effect of increasing the magnetic field strength (measured by the Hartmann number <i>Ha</i>) is addressed in the range <i>Ha</i>∈(0, 80) corresponding to the working conditions of the HEDGEHOG experiment at Helmholtz-Zentrum Dresden-Rossendorf. The study reveals several regions of multistability of waves with azimuthal wavenumber <i>m</i> = 2, 3, 4, and several transitions to quasi-periodic flows, i.e modulated rotating waves. These nonlinear flows can be classified as the three different instabilities of the radial jet, the return flow and the shear layer, as found in the previous studies. These two flows are continuously linked, and part of the same branch, as the magnetic forcing is increased. Midway between the two instabilities, at a certain critical <i>Ha</i>, the non-axisymmetric component of the flow is maximum.
DOI: 10.6084/m9.figshare.7353008.v1
title: Supplementary_Material.tar from Continuation and stability of rotating waves in the magnetized spherical Couette system: secondary transitions and multistability

description: Rotating waves (RW) bifurcating from the axisymmetric basic magnetized spherical Couette (MSC) flow are computed by means of Newton–Krylov continuation techniques for periodic orbits. In addition, their stability is analysed in the framework of Floquet theory. The inner sphere rotates while the outer is kept at rest and the fluid is subjected to an axial magnetic field. For a moderate Reynolds number <i>Re</i> = 10<sup>3</sup> (measuring inner rotation), the effect of increasing the magnetic field strength (measured by the Hartmann number <i>Ha</i>) is addressed in the range <i>Ha</i>∈(0, 80) corresponding to the working conditions of the HEDGEHOG experiment at Helmholtz-Zentrum Dresden-Rossendorf. The study reveals several regions of multistability of waves with azimuthal wavenumber <i>m</i> = 2, 3, 4, and several transitions to quasi-periodic flows, i.e modulated rotating waves. These nonlinear flows can be classified as the three different instabilities of the radial jet, the return flow and the shear layer, as found in the previous studies. These two flows are continuously linked, and part of the same branch, as the magnetic forcing is increased. Midway between the two instabilities, at a certain critical <i>Ha</i>, the non-axisymmetric component of the flow is maximum.
DOI: 10.21227/cqmn-5834
title: Baseline

description: Baseline method.No data cleaning.Mean of other meters where data is missing.
DOI: 10.6084/m9.figshare.13034030.v1
title: Mykrobe panels manifest

description: Manifest file, used by command line tool mykrobe to get information on latest available panels.
DOI: 10.5281/zenodo.4084676
title: glucose challenge data in pigs

description: Data set from an experiment where catheterised Iberian (obese breed) and Landrace (lean breed) pigs of the same weight were challenged intraarteriously with a glucose load. Blood samples were serially taken for 180min and analyzed for glucose, insulin, lactate, triglycerides, cholesterol, creatinine, albumin and urea. Insulin sensitivity indices were calculated and analysed.
description: {"references": ["Berit Christoffersen, Ulla Ribel, Kirsten Raun, Valeria Golozoubova, and Giovanni Pacini. Evaluation of different methods for assessment of insulin sensitivity in Gottingen minipigs: introduction of a new, simpler method. Am J Physiol Regul Integr Comp Physiol 297: R1195\u2013R1201, 2009. doi:10.1152/ajpregu.90851.2008.", "Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner RC: Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia 28:412\u2013419, 1985", "Kaneko JJ. Carbohydrate metabolism and its diseases. In: , 6th ed.; Kaneko JJ, Harvey JW and Bruss ML Eds.; Academic Press, London, UK, 2008; pp. 45-80"]}