cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5796537
title: Sonic tomography reveals the relationship between the internal wood decay and beetle communities

description: The dataset includes two files: 1) List of beetle species captured in live and dead trees, including trophic guilds of each species. 2) Supporting data, including: -Table S1 (Summary of abundance and richness of beetle species captured in dead and live trees. Species are categorized into trophic guilds) -Table S2<strong>. </strong>Averaged coefficients of the best-supported GLMM -Fig. S1. Coefficients of quantile regressions
DOI: 10.17903/fk2/iloldv
title: Flash Ευρωβαρόμετρο 206a (Στάσεις για θέματα Ενεργειακής Πολιτικής της ΕΕ)

description: Στάσεις για θέματα Ενεργειακής Πολιτικής της ΕΕ. Θέματα: κλιματικές αλλαγές, παγκόσμια αύξηση της θερμοκρασίας του πλανήτη και οι αρνητικές επιπτώσεις της παραγωγής και κατανάλωσης ενέργειας στην κλιματική αλλαγή. Επιπλέον διερεύνηση των επιπτώσεων των κλιματικών αλλαγών στους τρόπους κατανάλωσης ενέργειας τα επόμενα 10 χρόνια και ο ρόλος της ΕΕ ως προς αυτές και την επιβολή ποσόστωσης ανανεώσιμων πηγών ενέργειας στις χώρες μέλη. Έκφραση άποψης για τις ενέργειες από πλευράς ελληνικής κυβέρνησης ως προς τη μείωση κατανάλωσης ενέργειας, ενθάρρυνση ανάπτυξης νέων και καθαρότερων τεχνολογιών και προϊόντων ενέργειας, συμφωνία ή διαφωνία ως προς την αύξηση ή μείωση της πυρηνικής ενέργειας. Η τελευταία ενότητα αφορά το ενδεχόμενο υιοθέτησης προδιαγραφών υψηλής ασφάλειας για όλες τις εγκαταστάσεις πυρηνικών σε επίπεδο χωρών της ΕΕ, την αντιμετώπιση ελλείψεων φυσικού αερίου ή πετρελαίου σε χώρα μέλος της ΕΕ και τη δυνατότητα επιλογής προμηθευτή για ηλεκτρισμό και φυσικό αέριο στα νοικοκυριά. Δημογραφικά στοιχεία: Ηλικία, φύλο, κατάσταση απασχόλησης και επαγγελματική κατάσταση, ηλικία ολοκλήρωσης σπουδών, τηλεπικοινωνιακός εξοπλισμός, περιοχή κατοικίας και βαθμός αστικοποίησης.
DOI: 10.5281/zenodo.5796552
title: Visual duration but not numerosity is distorted while running

description: Each folder contains the data for a separate experiment. Each file contains a matrix called “MatTuttiDati”. Each row of the matrix “MatTuttiDati” is a trial. The columns contain the following information: - 1st: number of trial - 2nd: condition - 3rd: Reference Magnitude (Duration/Numerosity) - 4th: Test Magnitude (Duration/Numerosity) - 6th: Subject response (Only for Numerosity) - 7th: Subject response (Only for Duration)
DOI: 10.5281/zenodo.5796551
title: Visual duration but not numerosity is distorted while running

description: Each folder contains the data for a separate experiment. Each file contains a matrix called “MatTuttiDati”. Each row of the matrix “MatTuttiDati” is a trial. The columns contain the following information: - 1st: number of trial - 2nd: condition - 3rd: Reference Magnitude (Duration/Numerosity) - 4th: Test Magnitude (Duration/Numerosity) - 6th: Subject response (Only for Numerosity) - 7th: Subject response (Only for Duration)
DOI: 10.6084/m9.figshare.17323823
title: The effect of temperature and food source on the hibiscus bud weevil (Anthonomus testaceosquamosus) life cycle

description: This file contains data concerning the effect of temperature and food source on the hibiscus bud weevil (Anthonomus testaceosquamosus) life cycle
DOI: 10.6084/m9.figshare.17323823.v2
title: The effect of temperature and food source on the hibiscus bud weevil (Anthonomus testaceosquamosus) life cycle

description: This file contains data concerning the effect of temperature and food source on the hibiscus bud weevil (Anthonomus testaceosquamosus) life cycle
DOI: 10.17894/ucph.e17975c9-c12c-412b-b046-aca7526cb8ed
title: Data for manuscript Excitations in a superconducting Coulombic energy gap

description: Raw data needed to produce all experimental data figures of the manuscript "Excitations in a superconducting Coulombic energy gap" by Juan Carlos Estrada Saldaña, Alexandros Vekris, Luka Pavesic, Peter Krogstrup, Rok Zitko, Kasper Grove-Rasmussen and Jesper Nygård is provided here as tabulated files. All tabulated data can be read using the code created by Joeri De Bruijckere at https://github.com/joeridebruijckere/Inspectra-Gadget#inspectra-gadget (last accessed on 01/06/2021), based on Python (Spyder). This software will convert raw lock-in signals into differential conductance by taking into account prefactors such as voltage dividers and current amplification, as well as applied AC excitation. A similar conversion will be done for the raw electrical current signal. The associated metafiles contain the necessary prefactors and settings for gate voltages and B-field.
DOI: 10.25934/pr00004440.0
title: Available IPD datapackage for study 'A Phase 2/3, Placebo-Controlled, Efficacy and Safety Study of Once-Weekly, Subcutaneous LY2189265 Compared to Sitagliptin in Patients With Type 2 Diabetes Mellitus on Metformin'

description: This is an adaptive dose finding study and a Phase 3 efficacy study to evaluate the effects of once weekly injection of LY2189265 compared to Sitagliptin on glucose by measuring glycosylated hemoglobin (HbA1c) change from baseline after 52 weeks in participants with type 2 diabetes mellitus on Metformin.
DOI: 10.15139/s3/cyh7x7
title: Opioids at the Health and Transportation Safety Nexus

description: Background: Drug overdoses and motor vehicle (MV) crashes are leading causes of unintentional injury death in the US, resulting in over 100,000 fatalities in 2017. Research has established that opioids affect driving ability and that crash-related injuries often result in opioid prescribing. Despite known associations, current approaches for studying these intertwined public health problems typically involve separate analyses using discrete databases. Purpose: To assess collection of relevant data elements and evaluate the linkage potential of prescription drug monitoring programs (PDMP) with crash databases, and to determine knowledge gaps that can be addressed through effective linkage. Methods: Standardized templates were used to abstract specific data elements and attributes of MV crash and PDMP databases for all 50 states and DC. Abstracted PDMP elements included accessibility of PDMP data and schedules of controlled substances monitored in each state, while crash-related elements included whether crash reports document the type of drug test administered at the scene and the granularity of test results recorded. Results: A majority of PDMPs (94%) are authorized to release data for research purposes. Schedules II-V controlled substances are tracked in 76% of PDMPs, with the remaining tracking II-IV. Drug-related elements captured in crash reports varied considerably by state. Eighty-six percent of states document the type of drug test administered; however, 54% of states only record whether a drug test was positive or negative, with less than a third of states citing specific drugs. Collection of personal identifiers is required in all crash and PDMP databases, suggesting high potential for effective linkage. Conclusions: Lack of integration between crash and PDMP databases hinders advancement of the evidence base on the interconnected causes of unintentional injury death. While crash reports and PDMPs possess their own sets of strengths and weaknesses, linkage of these two data sources could fill critical research gaps
DOI: 10.5281/zenodo.5796243
title: UK Power Station Transformer Dissolved Gas Analysis Data (2010-2015)

description: This dataset includes dissolved gas analysis records from coolant oil in 13 UK power station transformers for various timespans between 2010-2015. They form the basis of the paper "Assessing the impact of weak and moderate geomagnetic storms on UK power station transformers" submitted to the AGU "Space Weather" Journal by Z.M. Lewis, J.A. Wild and M. Allcock in December 2021.<br> <br> Please cite Lewis et al. if using these data. The authors thank D. Barker, EDF Energy Nuclear Generation, for providing these data. The data are presented in comma separated variable format files, as described in the readme.txt file.
DOI: 10.5281/zenodo.5796242
title: UK Power Station Transformer Dissolved Gas Analysis Data (2010-2015)

description: This dataset includes dissolved gas analysis records from coolant oil in 13 UK power station transformers for various timespans between 2010-2015. They form the basis of the paper "Assessing the impact of weak and moderate geomagnetic storms on UK power station transformers" submitted to the AGU "Space Weather" Journal by Z.M. Lewis, J.A. Wild and M. Allcock in December 2021.<br> <br> Please cite Lewis et al. if using these data. The authors thank D. Barker, EDF Energy Nuclear Generation, for providing these data. The data are presented in comma separated variable format files, as described in the readme.txt file.
DOI: 10.18739/a2sn0153z
title: Alaska borough and regional demographics, 1990-2020

description: Provides time series of annual population estimates, 1990-2020, for (1) all Alaska boroughs, census areas or municipalities ("county equivalents); (2) Alaska regions; and (3) the state of Alaska. Also includes 10-year summaries of population growth rates and growth components (natural increase or net migration) for each place, covering the periods 1990-2000, 2000-2010, 2010-2020, and 2019-2020. Data have been integrated in place/year analyzable form, from tables published by the Alaska Department of Labor and Workforce Development. Demographic time series provide key background information relevant to sustainability and challenges of communities in rural Alaska.
DOI: 10.5281/zenodo.5788431
title: Keyword frequencies in popular tech media (01.2016-04.2021)

description: Sources with weights Euractiv 5% The Conversation 5% Politico Europe 5 % IEEE Spectrum 5 % Techforge 5% Fastcompany 5% The Guardian (Tech) 12% Arstechnica 5% Reuters 5% Gizmodo 9% ZDNet 9% The Register 12% The Verge 9% TechCrunch 9% Methodology Frequency of appearances for all unigrams and bigrams in the texts Frequency: number of appearances of every term divided by the number of all terms (for every month and source) Several media sources: a representative index is calculated with weighted average (weights as above) Average monthly change in the analised term's frequency is calculated by OLS regressions The dependent variable of the estimation is the frequency index, while the number of months since the beginning of the analysed period (January 2016) is the independent variable The regression coefficient (referred to as coef) shows by how much on average the analysed expression’s frequency changed with every observed month (marginal change of the frequency), revealing which keywords had the biggest monthly growth Columns freq_months (e.g. freq_2019-04): the average frequency of the term coef: the regression coefficient coef_norm: the regression coefficient divided by the mean frequency of the keyword
DOI: 10.5281/zenodo.5788430
title: Keyword frequencies in popular tech media (01.2016-04.2021)

description: Sources with weights Euractiv 5% The Conversation 5% Politico Europe 5 % IEEE Spectrum 5 % Techforge 5% Fastcompany 5% The Guardian (Tech) 12% Arstechnica 5% Reuters 5% Gizmodo 9% ZDNet 9% The Register 12% The Verge 9% TechCrunch 9% Methodology Frequency of appearances for all unigrams and bigrams in the texts Frequency: number of appearances of every term divided by the number of all terms (for every month and source) Several media sources: a representative index is calculated with weighted average (weights as above) Average monthly change in the analised term's frequency is calculated by OLS regressions The dependent variable of the estimation is the frequency index, while the number of months since the beginning of the analysed period (January 2016) is the independent variable The regression coefficient (referred to as coef) shows by how much on average the analysed expression’s frequency changed with every observed month (marginal change of the frequency), revealing which keywords had the biggest monthly growth Columns freq_months (e.g. freq_2019-04): the average frequency of the term coef: the regression coefficient coef_norm: the regression coefficient divided by the mean frequency of the keyword
DOI: 10.5281/zenodo.5796659
title: Dataset for A MILP approach for detailed pipeline scheduling and storage management problem in the phosphate industry

description: Case studies of a multi-product slurry pipeline scheduling and storage management problem in the phosphate industry.
DOI: 10.5281/zenodo.5796658
title: Dataset for A MILP approach for detailed pipeline scheduling and storage management problem in the phosphate industry

description: Case studies of a multi-product slurry pipeline scheduling and storage management problem in the phosphate industry.
DOI: 10.5281/zenodo.5796622
title: Mendelian gene identification through mouse embryo viability screening

description: Supplementary files to support a manuscript entitled "Mendelian gene identification through mouse embryo viability screening"
DOI: 10.5281/zenodo.5794671
title: ASVspoof2019LA-Sim: Augmented Dataset for An Empirical Study on Channel Effects for Synthetic Voice Spoofing Countermeasure Systems

description: This is the dataset we augmented to study the channel effects for anti-spoofing. For more details, please refer to our Interspeech 2021 paper: "An Empirical Study on Channel Effects for Synthetic Voice Spoofing Countermeasure Systems". Proceeding: https://www.isca-speech.org/archive/interspeech_2021/zhang21ea_interspeech.html Arxiv: https://arxiv.org/pdf/2104.01320.pdf Code: https://github.com/yzyouzhang/Empirical-Channel-CM Contact: you.zhang@rochester.edu <strong>Version 1.0</strong> contains the <strong>training</strong> and the <strong>development</strong> set. We have added the <strong>evaluation</strong> set in <strong>version 1.1 </strong>but deleted the training set due to the size limitation, but you can still access the training set in version 1.0. Please check it out. To extract the files, please use the following commands: <pre><code class="language-bash">cat eval.tar.gz-part* &gt; eval.tar.gz tar -xvzf *.tar.gz</code></pre> After concatenation, to make sure the download is complete, you can check with the following: <pre><code>md5sum *.tar.gz 15dea7d28b126994bb6b159778f706af dev.tar.gz 0615052b34ca6c7f58505eaa8647844f eval.tar.gz 3058dd9d407f3c9ae697acca8c34a6c3 train.tar.gz</code></pre> Thanks.
DOI: 10.5281/zenodo.5548621
title: ASVspoof2019LA-Sim: Augmented Dataset for An Empirical Study on Channel Effects for Synthetic Voice Spoofing Countermeasure Systems

description: This is the dataset we augmented to study the channel effects for anti-spoofing. For more details, please refer to our Interspeech 2021 paper: "An Empirical Study on Channel Effects for Synthetic Voice Spoofing Countermeasure Systems". Proceeding: https://www.isca-speech.org/archive/interspeech_2021/zhang21ea_interspeech.html Arxiv: https://arxiv.org/pdf/2104.01320.pdf Code: https://github.com/yzyouzhang/Empirical-Channel-CM Contact: you.zhang@rochester.edu <strong>Version 1.0</strong> contains the <strong>training</strong> and the <strong>development</strong> set. We have added the <strong>evaluation</strong> set in <strong>version 1.1 </strong>but deleted the training set due to the size limitation, but you can still access the training set in version 1.0. Please check it out. To extract the files, please use the following commands: <pre><code class="language-bash">cat eval.tar.gz-part* &gt; eval.tar.gz tar -xvzf *.tar.gz</code></pre> After concatenation, to make sure the download is complete, you can check with the following: <pre><code>md5sum *.tar.gz 15dea7d28b126994bb6b159778f706af dev.tar.gz 0615052b34ca6c7f58505eaa8647844f eval.tar.gz 3058dd9d407f3c9ae697acca8c34a6c3 train.tar.gz</code></pre> Thanks.
DOI: 10.5281/zenodo.5794633
title: Data from Environmental Outcomes of the U.S. Renewable Fuel Standard

description: Data and figures associated with the paper "Environmental Outcomes of the U.S. Renewable Fuel Standard" by Lark et al.
DOI: 10.5281/zenodo.5794632
title: Data from Environmental Outcomes of the U.S. Renewable Fuel Standard

description: Data and figures associated with the paper "Environmental Outcomes of the U.S. Renewable Fuel Standard" by Lark et al.
DOI: 10.34740/kaggle/dsv/2954831
title: Omicron daily cases by country (COVID-19 variant)
DOI: 10.5281/zenodo.5796846
title: Base de dados para trabalho de conclusão da disciplina PNV5764 - Modelagem de Sistemas Logísticos (2021)

description: Dataset
DOI: 10.5281/zenodo.5796845
title: Base de dados para trabalho de conclusão da disciplina PNV5764 - Modelagem de Sistemas Logísticos (2021)

description: Dataset
DOI: 10.25345/c56s22
title: MassIVE MSV000088597 - Proteo-genetic analysis reveals clear hierarchy of ESX-1 secretion in &lt;I&gt;Mycobacterium marinum&lt;/I&gt;
title: RAW and processed datafiles to accompany manuscript
DOI: 10.6084/m9.figshare.17281793
title: Supporting Information for "Preserving avian blood and DNA sampled in the wild: a survey of personal experiences"

description: Supporting information for "Preserving avian blood and DNA sampled in the wild: a survey of personal experiences"<br>Supporting Information 2: anonymized responses to the online survey “Preserving avian DNA from the wild: Your experience of blood sampling, DNA extraction and storage
DOI: 10.5281/zenodo.5796842
title: Dynamics in a stellar convective layer and at its boundary: Comparison of five 3D hydrodynamics codes

description: Supplementary materials for the paper "Dynamics in a stellar convective layer and at its boundary: Comparison of five 3D hydrodynamics codes". The data contained in the .tar.gz archives can be read and visualised using the Jupyter notebooks available on the CoCoPy repository (https://github.com/robert-andrassy/CoCoPy) and on the CoCo Hub (https://www.ppmstar.org/coco). The four parts of the archive 2D-slices.tar.gz need to be concatenated using the standard Unix tool "cat" before decompression. Two minor bugs affecting the 1D profiles are corrected in this version. Everything else is the same as in Version 1.
DOI: 10.5281/zenodo.5607674
title: Dynamics in a stellar convective layer and at its boundary: Comparison of five 3D hydrodynamics codes

description: Supplementary materials for the paper "Dynamics in a stellar convective layer and at its boundary: Comparison of five 3D hydrodynamics codes". The data contained in the .tar.gz archives can be read and visualised using the Jupyter notebooks available on the CoCoPy repository (https://github.com/robert-andrassy/CoCoPy) and on the CoCo Hub (https://www.ppmstar.org/coco). The four parts of the archive 2D-slices.tar.gz need to be concatenated using the standard Unix tool "cat" before decompression. Two minor bugs affecting the 1D profiles are corrected in this version. Everything else is the same as in Version 1.
DOI: 10.14272/fruiotivenfzjq-uhfffaoysa-n/chmo0000630
title: infrared absorption spectroscopy (IR) ()
title: InChI=1S/C14H12N2O3/c1-9-7-11(8-10(2)15-9)14(17)12-5-3-4-6-13(12)16(18)19/h3-8H,1-2H3

description: dataset for infrared absorption spectroscopy (IR) IR (ATR, ṽ) = 2919 (w), 2849 (w), 1681 (vs), 1599 (w), 1570 (m), 1528 (vs), 1480 (w), 1453 (w), 1439 (m), 1407 (m), 1384 (m), 1340 (vs), 1320 (vs), 1272 (w), 1234 (m), 1222 (s), 1167 (w), 1147 (w), 1130 (m), 1082 (w), 1018 (m), 1000 (w), 972 (w), 962 (w), 945 (w), 894 (w), 873 (w), 854 (s), 809 (s), 793 (vs), 764 (s), 752 (vs), 707 (vs), 684 (vs), 642 (s), 588 (w), 567 (s), 544 (m), 487 (w), 473 (s), 438 (w), 424 (w), 412 (w), 395 (m) cm–1.
DOI: 10.14272/fruiotivenfzjq-uhfffaoysa-n/chmo0000480
title: electron ionisation mass spectrometry (EI-MS) ()
title: InChI=1S/C14H12N2O3/c1-9-7-11(8-10(2)15-9)14(17)12-5-3-4-6-13(12)16(18)19/h3-8H,1-2H3

description: dataset for electron ionisation mass spectrometry (EI-MS) EI (m/z, 70 eV, 60 °C): 256 (69) [M]+, 248 (100), 211 (11), 203 (13), 150 (19), 134 (30), 106 (21), 104 (12), 77 (10), 76 (24), 65 (35), 51 (14). HRMS (C14H12O3N2): calcd 256.0848, found 256.0849.
DOI: 10.14272/fruiotivenfzjq-uhfffaoysa-n.1
title: (2,6-dimethylpyridin-4-yl)(2-nitrophenyl)methanone
title: InChI=1S/C14H12N2O3/c1-9-7-11(8-10(2)15-9)14(17)12-5-3-4-6-13(12)16(18)19/h3-8H,1-2H3

description: This dataset contains experimental data from a sample (InChI=1S/C14H12N2O3/c1-9-7-11(8-10(2)15-9)14(17)12-5-3-4-6-13(12)16(18)19/h3-8H,1-2H3). The datasets from the following experiments are available: 1H nuclear magnetic resonance spectroscopy (1H NMR) 13C nuclear magnetic resonance spectroscopy (13C NMR) electron ionisation mass spectrometry (EI-MS) infrared absorption spectroscopy (IR)
DOI: 10.14272/fruiotivenfzjq-uhfffaoysa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) ()
title: InChI=1S/C14H12N2O3/c1-9-7-11(8-10(2)15-9)14(17)12-5-3-4-6-13(12)16(18)19/h3-8H,1-2H3

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (400 MHz, Chloroform-d [7.27 ppm], ppm) δ = 8.28 (dd, J = 1.0 Hz, J = 8.3 Hz, 1H), 7.87–7.83 (m, 1H), 7.77–7.73 (m, 1H), 7.50 (dd, J = 1.4 Hz, J = 7.5 Hz, 1H), 7.18 (s, 2H), 2.58 (s, 6H). Impurities: The spectrum contains water at 1.66 ppm and ~5% of unknown impurities.
DOI: 10.14272/fruiotivenfzjq-uhfffaoysa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) ()
title: InChI=1S/C14H12N2O3/c1-9-7-11(8-10(2)15-9)14(17)12-5-3-4-6-13(12)16(18)19/h3-8H,1-2H3

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (100 MHz, Chloroform-d [77.0 ppm], ppm) δ = 193.2 (C=O), 159.3 (Cq, 2C), 146.5 (Cq), 142.7 (Cq), 135.2 (Cq), 134.5 (CH), 131.1 (CH), 128.8 (CH), 124.6 (CH), 118.3 (CH, 2C), 24.5 (CH3, 2C). Impurities: The spectrum contains ~5% of unknown impurities.
DOI: 10.6084/m9.figshare.17332190
title: Time-series_power-1

description: This repository contains time series of the displacement of a Brownian particle modulated by Ornstein Uhlenbeck noise of an amplitude that 0.1X(0.6x10<sup>-6</sup>)<sup>2</sup> m<sup>2</sup>/s.
DOI: 10.6084/m9.figshare.17332190.v1
title: Time-series_power-1

description: This repository contains time series of the displacement of a Brownian particle modulated by Ornstein Uhlenbeck noise of an amplitude that 0.1X(0.6x10<sup>-6</sup>)<sup>2</sup> m<sup>2</sup>/s.
DOI: 10.5281/zenodo.5796664
title: The Return of the Templates: Revisiting the Galactic Center Excess with Multi-Messenger Observations

description: We provide here the galactic diffuse emission maps used in "The Return of the Templates: Revisiting the Galactic Center Excess with Multi-Messenger Observations".
description: arXiv:2112.09706 [astro-ph.HE]
DOI: 10.5519/qd.yyga22ro
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (48 records)
DOI: 10.6084/m9.figshare.17332637
title: Time-series_power2

description: The time series for the displacement of a trapped Brownian particle modulated by Ornstein-Uhlenbeck noise is provided. The strengh of the noise correspond to the diffusion coefficient A= 0.2X(0.6X10<sup>-6</sup>)<sup>2 </sup>m<sup>2</sup>/s.
DOI: 10.6084/m9.figshare.17332637.v1
title: Time-series_power2

description: The time series for the displacement of a trapped Brownian particle modulated by Ornstein-Uhlenbeck noise is provided. The strengh of the noise correspond to the diffusion coefficient A= 0.2X(0.6X10<sup>-6</sup>)<sup>2 </sup>m<sup>2</sup>/s.