cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.1443538
title: Tut Tietotalo Ambisonic Impulse Response

description: <strong>Tampere University of Technology (TUT) Tietotalo Ambisonic Impulse Response</strong>

This dataset consists of impulse responses (IR) from a real environment using the Eigenmike spherical microphone array. The recordings were done in a fairly large spaced corridor inside the university (Tietotalo building) with classrooms around it. The IR acquisition was done using a maximum length sequence (MLS). The measurement was done by slowly moving a Genelec G Two loudspeaker continuously playing the MLS around the Eigenmike in a circular trajectory. The playback volume was set to be 30 dB greater than the ambient sound level. The IRs were collected at elevations −40 to 40 with 10-degree increments at 1 m from the Eigenmike and at elevations −20 to 20 with 10-degree increments at 2 m. 

The moving-source IRs were obtained by a freely available tool from CHiME challenge which estimates the time-varying responses in STFT domain by forming a least-squares regression between the known measurement signal and the far-field recording independently at each frequency. The IR for any azimuth within one trajectory can be analyzed by assuming block-wise stationarity of acoustic channel. The CHiME IR estimation tool was applied independently on all 32 channels of the Eigenmike. For the dataset creation, we analyzed the DOA of each time frame using MUSIC and extracted IRs for azimuthal angles at 10° resolution (36 IRs for each elevation).

The IR file is in .mat format and can be read both in Matlab and Python. The details of the IR file are as following,

Size: (2, 9, 1025, 36, 4, 32) = (distance_wrt_mic, elevation_wrt_mic, FFT,  azimuth_wrt_mic, blocks, channels).

where,

distance_wrt_mic = two distances (1m and 2m)<br>
elevation_wrt_mic = 9 elevation angles (-40:10:40) at distance 1m, and 5 elevations angles (-20:10:20) at distance 2m.<br>
azimuth_wrt_mic = 36 azimuth angles (-180:10:180) for all distance-elevation combination<br>
The IRs were extracted assuming block-wise stationarity (four blocks) for each frequency bin (1025 bins).

During synthesis, after convolving the IR with a sound event, the 32 channel audio will have to be transformed to Ambisonic format using the transformation matrix of Eigenmike.

This dataset was collected as part of the 'Sound event localization and detection of overlapping sources using convolutional recurrent neural network' work, more details about this IR dataset can be found in this work.

<strong>Data collector (s):</strong> Fagerlund, Eemi; Koskimies, Aino
DOI: 10.17632/f6d8sccfy2.1
title: Data for: LED lighting optimization as applied to vitamin space plant growth facility

description: Regression models for plant characteristics and their 3D-plots. The models were disigned by Prof. Stanislav G. Radchenko and Dr. Sergey N. Lapach (National Technical University of Ukraine “Kyiv polytechnical institute”).
DOI: 10.5281/zenodo.1443492
title: Mean And Variance Of Spike Counts For Area Mt Neurons In Awake And Anesthetized Subjects

description: These data are the means and variance of spike counts in an analysis window beginning at motion onset of the visual stimulus, within the receptive field of MT neurons recorded in anesthetized or alert non-human primates. Dot motion was presented in a range of motion directions, with 0 degrees being the preferred direction of each cell. The tuning of the variability in the response and a model accounting for these state-dependent changes is in press at PLoS Computational Biology, along with more details on the data collection and analysis. A preprint is available at: https://arxiv.org/abs/1710.10548

These data consist of a MatLab data file with two saved data structures, ‘units’ and ‘autocorrelation’. <br>
<br>
‘units’ is an 80-element structure, one entry for each recorded extracellular single unit (putative neuron) in the recording with the following fields:<br>
     ‘state’ indicates whether the subject was anesthetized or alert during the recording<br>
     ‘stimDir’ is the direction of motion, in degrees, of the moving dot stimulus<br>
     ‘latency’ is the latency, in milliseconds, to the response onset<br>
     ‘latAlign’ are the spike counts and variance in a 150ms window beginning at response onset<br>
     ‘stimAligned’ are the spike counts and variance in a 250ms window beginning at motion onset<br>
     ‘MI’ is the mutual information between motion directions between +/- 90 degrees and the cumulative spike counts at a range of time points since motion onset, given in MI_time_vec. The mutual information quantity is extrapolated to the infinite data size limit via quadratic extrapolation.<br>
     'MI_time_vec' is a vector of times (in milliseconds) since motion onset used in the information calculation

<br>
‘autocorrelation’ is a scalar structure containing the fields:<br>
     'alert' is the average autocorrelation (range +/- 1) of the spike counts (analyzed in a 2ms window and smoothed over 5 bins) in the alert units during presentation of the null (no dot motion) stimulus<br>
     'anesthetized' is the average autocorrelation (computed as for the alert units) of the anesthetized units during presentation of the null stimulus<br>
     'timePoints' are the time point shifts in milliseconds corresponding to the calculated autocorrelations in 'alert' and 'anesthetized'
DOI: 10.5281/zenodo.1443493
title: Mean And Variance Of Spike Counts For Area Mt Neurons In Awake And Anesthetized Subjects

description: These data are the means and variance of spike counts in an analysis window beginning at motion onset of the visual stimulus, within the receptive field of MT neurons recorded in anesthetized or alert non-human primates. Dot motion was presented in a range of motion directions, with 0 degrees being the preferred direction of each cell. The tuning of the variability in the response and a model accounting for these state-dependent changes is in press at PLoS Computational Biology, along with more details on the data collection and analysis. A preprint is available at: https://arxiv.org/abs/1710.10548

These data consist of a MatLab data file with two saved data structures, ‘units’ and ‘autocorrelation’. <br>
<br>
‘units’ is an 80-element structure, one entry for each recorded extracellular single unit (putative neuron) in the recording with the following fields:<br>
     ‘state’ indicates whether the subject was anesthetized or alert during the recording<br>
     ‘stimDir’ is the direction of motion, in degrees, of the moving dot stimulus<br>
     ‘latency’ is the latency, in milliseconds, to the response onset<br>
     ‘latAlign’ are the spike counts and variance in a 150ms window beginning at response onset<br>
     ‘stimAligned’ are the spike counts and variance in a 250ms window beginning at motion onset<br>
     ‘MI’ is the mutual information between motion directions between +/- 90 degrees and the cumulative spike counts at a range of time points since motion onset, given in MI_time_vec. The mutual information quantity is extrapolated to the infinite data size limit via quadratic extrapolation.<br>
     'MI_time_vec' is a vector of times (in milliseconds) since motion onset used in the information calculation

<br>
‘autocorrelation’ is a scalar structure containing the fields:<br>
     'alert' is the average autocorrelation (range +/- 1) of the spike counts (analyzed in a 2ms window and smoothed over 5 bins) in the alert units during presentation of the null (no dot motion) stimulus<br>
     'anesthetized' is the average autocorrelation (computed as for the alert units) of the anesthetized units during presentation of the null stimulus<br>
     'timePoints' are the time point shifts in milliseconds corresponding to the calculated autocorrelations in 'alert' and 'anesthetized'
DOI: 10.17632/dygn8vp6pz.1
title: Data for: A 2,500 Year Historical Ecology of Agricultural Production under Empire in Dhiban, Jordan

description: The data used for a forthcoming article, which will compile in R Studio via supplement_a.RMD. The associated PDF contains a reader-friendly version of the analyses and coe.
DOI: 10.17632/v3hm69553x.1
title: Data for: Do Prevalence Rates of Overweight and Obesity Converge in Europe?

description: Overweight and obesity prevalence rates estimates (1975-2016)
DOI: 10.5281/zenodo.1445276
title: Dentogingival Aesthetic Outcomes Following Orthodontic Treatment With Fixed Appliances: A Clinical Cohort Study

description: Dataset for all analyses of the study
DOI: 10.17638/datacat.liverpool.ac.uk/549
title: Data for thiophene-based single-molecule electromechanical switches
DOI: 10.5281/zenodo.1445277
title: Dentogingival Aesthetic Outcomes Following Orthodontic Treatment With Fixed Appliances: A Clinical Cohort Study

description: Dataset for all analyses of the study
DOI: 10.17632/8kz5t2xv6r.2
title: Do dictatorships redistribute more?

description: This paper examines the effect of political institutions on fiscal redistribution for a country-level panel from 1960-2010. Using data on Gini coefficients before and after government intervention, we apply a measure of effective fiscal redistribution that reflects the effect of taxes and transfers on income inequality. Our findings clearly indicate that non-democratic regimes demonstrate significantly greater direct fiscal redistribution. Subsequently, we employ fiscal data in an attempt to enlighten this puzzling empirical finding. We find that dictatorial regimes rely more heavily on cash transfers that exhibit a direct impact on net inequality and consequently on the difference between market and net inequality (i.e., effective fiscal redistribution), whereas democratic regimes devote a larger amount of resources to public inputs (health and education) that may influence market inequality but not the difference between market and net inequality per se. We argue that the driving force behind the observed differences within the pattern on government spending and effective fiscal redistribution is that democratic institutions lead survival-oriented leaders to care more for the private market, and thus to follow policies that enhance the productivity of the whole economy.
DOI: 10.17632/dyk9b8wpcx.1
title: Helminth parasites of chicken (raw data)

description: Coproscopic and Necroptic Laboratory results in row data recorded on excel sheet, use for the findings on our research article entitled ''Gastrointestinal Helminth Parasites of Chicken Kept Under Different Management System in Mekelle Town, Tigray Region, Ethiopia''
DOI: 10.17632/kmczwffk4s.1
title: Radial Dose Profile of a Y-90 Shpere

description: ############################################################## # RADIAL DOSE PROFILE OF A y-90 SHPERE (THERASPHERE) ############################################################## # # This file contains the raw data of a radial dose profile of a # sphere of Y-90 designed by Therasphere, obtained by Monte Carlo # simulation with the code PENELOPE (2011). From this file, you # can build a 3D kernel of any voxel size according to the # methodology described in the article: # # Methodology to perform and Yttrium-90 radioembolization dosimetry # using a radiotherapy treatment planning system (TPS) # Perez-Garcia H, Castro J, Molina MY, Ruiz S, Maldonado A, Fuertes S, # Vera U, Cano R3, Fernández A, Sánchez J, González JF # # 2017-12-04 Hugo Pérez-García # #&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;
DOI: 10.17632/kmczwffk4s.2
title: Radial Dose Profile of a Y-90 Sphere

description: ############################################################## # RADIAL DOSE PROFILE OF A y-90 SHPERE (THERASPHERE) ############################################################## # # This file contains the raw data of a radial dose profile of a # sphere of Y-90 designed by Therasphere, obtained by Monte Carlo # simulation with the code PENELOPE (2011). From this file, you # can build a 3D kernel of any voxel size according to the # methodology described in the article: # # Methodology to perform and Yttrium-90 radioembolization dosimetry # using a radiotherapy treatment planning system (TPS) # Perez-Garcia H, Castro J, Molina MY, Ruiz S, Maldonado A, Fuertes S, # Vera U, Cano R3, Fernández A, Sánchez J, González JF # # 2017-12-04 Hugo Pérez-García # #&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;
DOI: 10.17632/r3xpn3mccc.2
title: Data from ‘Estimating group size from acoustical footprint to improve Blainville’s beaked whale abundance estimation’

description: These are the datasets used in the paper submitted to Applied Acoustics by Jorge et al. entitled "Estimating group size from acoustical footprint to improve Blainville’s beaked whale abundance estimation". The pdf document explains how the data can be used to recreate Figure 1 and Figure 2 in the paper.
DOI: 10.5281/zenodo.7636328
title: Screening for nucleoside inhibitors of the SARS-CoV-2 RdRP

description: This report describes the most relevant results of screening compounds with a nucleoside analogue structure from the Janssen Pharmaceutica compound collection for potential activity against SARS-CoV-2 in a cell-based assay and nucleoside triphosphates in a radioactive filtering binding RdRP assay.
DOI: 10.5281/zenodo.7636327
title: Screening for nucleoside inhibitors of the SARS-CoV-2 RdRP

description: This report describes the most relevant results of screening compounds with a nucleoside analogue structure from the Janssen Pharmaceutica compound collection for potential activity against SARS-CoV-2 in a cell-based assay and nucleoside triphosphates in a radioactive filtering binding RdRP assay.
DOI: 10.17632/dwfmg6jdhg.1
title: Social Preferences in the Public Goods Game –  An Agent-Based Simulation with EconSim

description: Dataset of the EconSim agent-based model for "Social Preferences in the Public Goods Game"
DOI: 10.17632/8yrhk6gv8n.1
title: Evaluation of long-term outcomes of chronic hepatitis C therapy with direct acting agents in chronic kidney disease subjects

description: This dataset summarizes long-term outcomes of DAA treatment in chronic kidney disease subjects.
DOI: 10.17632/b2fw23s5xm.1
title: Racial and ethnic diversity in Janus kinase inhibitor alopecia areata clinical trials

description: Alopecia areata (AA) is a chronic autoimmune disease that causes non-scarring alopecia. In June 2022, baricitinib, a Janus kinase (JAK) inhibitor, became the first Federal Drug Administration (FDA) approved medication for adult patients with severe AA. This study aimed to analyze published JAK inhibitor alopecia areata randomized controlled trials to characterize and assess the racial and ethnic representation of participants. Attached below is a document listing the clinical trials assessed in our study.
DOI: 10.17632/z2fm5g6tcf.1
title: A multienzyme S-nitrosylation cascade regulates cholesterol homeostasis. Stomberski et al.

description: Original western blot images used to create manuscript figures
DOI: 10.17632/9zv3jbp76j.1
title: The spectrum of cutaneous immune-related adverse events in patients with skin of color

description: The spectrum of cutaneous immune-related adverse events in patients with skin of color. Representative photographs of eczematous dermatitis and lichenoid dermatitis.
DOI: 10.17632/p8x78ftjpr.1
title: data and analysis codes 

description: These data sets and codes for analyses relate to my Ph.D. thesis. I compared the classification performances of Non-Parametric Cognitive Diagnosis, Artificial Neural Network, and DINO model on real and simulated data sets in the thesis. The real data sets were obtained from PISA 2015 Collaborative Problem Solving administration.
DOI: 10.17632/7zdmdwsfsw.1
title: legal tech in Vietnam

description: legaltech in Vietnam
DOI: 10.6084/m9.figshare.21733997
title: Source files for "Mapping the conformational landscape of the stimulatory heterotrimeric G protein"

description: Source files for Figures 1F, 2, 3, 4, 6, 7, and 8 in the manuscript "Mapping the conformational landscape of the stimulatory heterotrimeric G protein", submitted to Nature Structural & Molecular Biology
DOI: 10.6084/m9.figshare.21733997.v2
title: Source files for "Mapping the conformational landscape of the stimulatory heterotrimeric G protein"

description: Source files for Figures 1F, 2, 3, 4, 6, 7, and 8 in the manuscript "Mapping the conformational landscape of the stimulatory heterotrimeric G protein", submitted to Nature Structural & Molecular Biology
DOI: 10.6084/m9.figshare.21733997.v1
title: Source files for Figures 1F, 2, and 8 in the manuscript "Mapping the conformational landscape of the stimulatory heterotrimeric G protein"

description: Source files for Figures 1F, 2, and 8 in the manuscript "Mapping the conformational landscape of the stimulatory heterotrimeric G protein", submitted to Nature Structural & Molecular Biology
DOI: 10.5281/zenodo.7636339
title: Screening of 165,988 compounds reflecting biological and chemical diversity in the Janssen Library for anti-SARS-CoV-2 activity

description: This report describes the most relevant results of screening a diversity set of the Janssen Pharmaceutica compound collection for potential activity against SARS-CoV-2 in a stable eGFP-expressing VeroE6 cell line infected with SARS-CoV-2.
DOI: 10.5281/zenodo.7636338
title: Screening of 165,988 compounds reflecting biological and chemical diversity in the Janssen Library for anti-SARS-CoV-2 activity

description: This report describes the most relevant results of screening a diversity set of the Janssen Pharmaceutica compound collection for potential activity against SARS-CoV-2 in a stable eGFP-expressing VeroE6 cell line infected with SARS-CoV-2.
DOI: 10.34740/kaggle/dsv/4992637
title: Egypt Gold Prices | Daily Updated
DOI: 10.34740/kaggle/dsv/4992675
title: Mahanagar Yatayat Dataset
DOI: 10.25935/t033-qs72
title: Catalogue of Observations of the First Harmonic of Saturn Kilometric Radiation during Cassini's Grand Finale
DOI: 10.34681/wf2d-kq82
title: National Child Abuse and Neglect Data System (NCANDS) Agency File (FY2021)

description: The National Child Abuse and Neglect Data System, Agency File  (State Summary), dataset consists of State-specific data of all investigated reports of maltreatment to State child protective service agencies. The NCANDS is a federally-sponsored national data collection effort created for the purpose of tracking the volume and nature of child maltreatment reporting each year within the United States. These data are collected within the federal fiscal year starting October 1st  and ending September 30th,  rather than the calendar year.

Data on funding of services, number of children screened out, number of Child Protective Services staff, preservation services, reunification, and child fatalities are included. Data are provided in MS Excel spreadsheet and SPSS (.sav) format.
DOI: 10.6084/m9.figshare.22087256
title: data.xlsx

description: This is the data for the Multinomial Logistic Regression of some factors affecting PSA levels in men in South Eastern Nigeria
DOI: 10.6084/m9.figshare.22087256.v1
title: data.xlsx

description: This is the data for the Multinomial Logistic Regression of some factors affecting PSA levels in men in South Eastern Nigeria
DOI: 10.6084/m9.figshare.21856605
title: In silico package models for deriving values of solute parameters in linear solvation energy relationships

description: Environmental partitioning influences fate, exposure and ecological risks of chemicals. Linear solvation energy relationship (LSER) models may serve as efficient tools for estimating environmental partitioning parameter values that are commonly deficient for many chemicals. Nonetheless, scarcities of empirical solute parameter values of LSER models restricted the application. This study developed and evaluated in silico methods and models to derive the values, in which excess molar refraction, molar volume and logarithm of hexadecane/air partition coefficient were computed from density functional theory; dipolarity/polarizability parameter, solute H-bond acidity and basicity parameters were predicted by quantitative structure–activity relationship models developed with theoretical molecular descriptors. New LSER models on four physicochemical properties relevant with environmental partitioning (<i>n</i>-octanol/water partition coefficients, <i>n</i>-octanol/air partition coefficients, water solubilities, sub-cooled liquid vapour pressures) were constructed using the in silico solute parameter values, which exhibited comparable performance with conventional LSER models using the empirical solute parameter values. The package models for deriving the LSER solute parameter values, with advantages that they are free of instrumental determinations, may lay the foundation for high-throughput estimating environmental partition parameter values of diverse organic chemicals.
DOI: 10.6084/m9.figshare.21856605.v1
title: In silico package models for deriving values of solute parameters in linear solvation energy relationships

description: Environmental partitioning influences fate, exposure and ecological risks of chemicals. Linear solvation energy relationship (LSER) models may serve as efficient tools for estimating environmental partitioning parameter values that are commonly deficient for many chemicals. Nonetheless, scarcities of empirical solute parameter values of LSER models restricted the application. This study developed and evaluated in silico methods and models to derive the values, in which excess molar refraction, molar volume and logarithm of hexadecane/air partition coefficient were computed from density functional theory; dipolarity/polarizability parameter, solute H-bond acidity and basicity parameters were predicted by quantitative structure–activity relationship models developed with theoretical molecular descriptors. New LSER models on four physicochemical properties relevant with environmental partitioning (<i>n</i>-octanol/water partition coefficients, <i>n</i>-octanol/air partition coefficients, water solubilities, sub-cooled liquid vapour pressures) were constructed using the in silico solute parameter values, which exhibited comparable performance with conventional LSER models using the empirical solute parameter values. The package models for deriving the LSER solute parameter values, with advantages that they are free of instrumental determinations, may lay the foundation for high-throughput estimating environmental partition parameter values of diverse organic chemicals.