cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/hwxxgn7vp3.1
title: Data for: Adenoviruses in free-ranging Australian bearded dragons (Pogona spp.)

description: Adenoviruses are a relatively common infection of reptiles globally and are most often reported in captive central bearded dragons (Pogona vitticeps). We report the first evidence of adenoviruses in bearded dragons in their native habitat in Australia. Oral-cloacal swabs and blood samples were collected from 48 free-ranging bearded dragons from four study populations: western bearded dragons (P. minor minor) from Western Australia (n = 4), central bearded dragons (P. vitticeps) from central Australia (n = 2) and western New South Wales (NSW) (n = 29), and coastal bearded dragons (P. barbata) from south-east Queensland (n = 13). Samples were tested for the presence of adenoviruses using a broadly reactive (pan-adenovirus) PCR and a PCR specific for agamid adenovirus-1. Agamid adenovirus-1 was detected in swabs from eight of the dragons from western NSW and one of the coastal bearded dragons. Lizard atadenovirus A was detected in one of the dragons from western NSW. Adenoviruses were not detected in any blood sample. All bearded dragons, except one, were apparently healthy and so finding these adenoviruses in these animals is consistent with bearded dragons being natural hosts for these viruses.
DOI: 10.25912/5cf0779d91d75
title: Photodissociation mass spectra of Iodo-AMPP derivatised fatty acids
DOI: 10.6073/pasta/72239202ea70bafdd8dd7ab0618e045b
title: MCR LTER: Coral Reef: Benthic Photosynthetically Active Radiation (PAR), ongoing since 2009

description: These data contain a time-series from
        sequential deployments of an ALW-CMP PAR sensor recording quanta of photosynthetically active
        radiation underwater between wavelengths 400 nm to 700 nm every two seconds. The
        sensor window is wiped free of algae periodically to prevent fouling. Deployments are
        three to six months in length. The sensor was mounted at 17 m depth on the fore reef, and at
        2 m depth on the Backreef. PAR irradiance is measured as quanta in micromoles of photons per square meter per second. 
        
       This material is based upon work supported by the U.S. National Science Foundation under
        Grant No. OCE 16-37396 (and earlier awards) as well as a generous gift from the Gordon and
        Betty Moore Foundation. Research was completed under permits issued by the French Polynesian
        Government (Délégation à la Recherche) and the Haut-commissariat de la République en
        Polynésie Francaise (DTRT) (Protocole d'Accueil 2005-2018). This work represents a
        contribution of the Moorea Coral Reef (MCR) LTER Site.
DOI: 10.21227/w3yw-sj80
title: Ruling Power Tautology: Error in Big Bang Theory

description: -If Ruling Power were able and willing to create Sun/Mars, he would do so. If Ruling Power were unable to create Sun/Mars, he would be incapable; if he were unwilling to create Sun/Mars, he would be malevolent. Ruling Power creates Sun/Mars. If Ruling Power exists, he is neither incapable nor malevolent. Therefore, Ruling Power exists. The World of PC can’t be created itself just from one factor light. I (programmer) die & consequently light (big bang) become useless.
DOI: 10.17632/99wz3bzvzk.1
title: Data for: Illuminating Hotspots of Imperiled Aquatic Biodiversity in the Southeastern US.

description: These files contain the standardized scores for species richness, southeast endemism, and imperilment for fishes, mussels, and crayfishes within an area of 290 HUC8 sub-basins in the US Southeast.
DOI: 10.17632/v2hn43m8py.1
title: Data for: Illuminating Hotspots of Imperiled Aquatic Biodiversity in the Southeastern US.

description: Standardized biodiversity, endemism, imperilment scores for freshwater fishes, mussels, and crayfishes in 290 HUC-8s in the southeastern United States. Also includes combined conservation priority and %area under two conservation definitions for each HUC.
DOI: 10.5519/qd.mz53an9y
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (4277977 records)
DOI: 10.7910/dvn/7pab1n/irxg7p
title: recent.coverage.RData

description: Recent newspaper coverage
DOI: 10.7910/dvn/7pab1n/iuou7k
title: cces.congruence.combined.RData

description: CCES Survey Data Merged with Newspaper-Congressional District Congruence
DOI: 10.7910/dvn/7pab1n/m1a8or
title: district.coverage.RData

description: District Level News Coverage
DOI: 10.7910/dvn/7pab1n/rfpvza
title: overtime.coverage.RData

description: Over time coverage newspaper coverage
DOI: 10.7910/dvn/7pab1n/vp3jd9
title: newspaper-coverage-analysis.R

description: Code to reproduce supplementary analysis of relationship between ReaderShare/Congruence and Coverage Volume
DOI: 10.7910/dvn/7pab1n/wx4gle
title: newspaper-effects-analysis.R

description: Code to reproduce primary analysis of relationship between Congruence and Representative-Specific Awareness
DOI: 10.5281/zenodo.3235173
title: An Analysis of the Probabilistic Track of the IPC 2018

description: This archive contains data and results used for the paper 'An Analysis of the Probabilistic Track of the IPC 2018'. See the attached README for more details.<br>
DOI: 10.5281/zenodo.3235174
title: An Analysis of the Probabilistic Track of the IPC 2018

description: This archive contains data and results used for the paper 'An Analysis of the Probabilistic Track of the IPC 2018'. See the attached README for more details.<br>
DOI: 10.5281/zenodo.3235840
title: Gross Regional Domestic Product (GRDP) data of 63 provinces in Vietnam from 2010 to 2016

description: This directory contains:<br> The Gross Regional Domestic Product (GRDP) data of 63 provinces in Vietnam annually from 2010 to 2016 by 4 economic sectors at 2010 price and at Current price. Data is collected from General Statistic Office Library, 52 Nguyen Chi Thanh, Hanoi.<br> Data collectors: Minh-Quan TONG (tong.minhquan98@gmail.com) and Minh-Hoang NGUYEN (mh8797@gmail.com) from Vietnam Initiative for Energy Transition #VIETSE and University of Science and Technology of Hanoi (USTH)
DOI: 10.17632/jt8rkt2w77.1
title: How to perform and report an impactful analysis using partial least squares: Guidelines for confirmatory and explanatory IS research

description: Dataset used in the paper
DOI: 10.17632/w5vfp2yv66.1
title: Data for: The Role of Infrastructure Investment and Factor Productivity in International Tax Competition

description: Data-set for spatial fiscal interactions using SDM. Paper: The Role of Infrastructure Investment and Factor Productivity in International Tax Competition.
DOI: 10.7910/dvn/gni4to/3wz1ct
title: FP longitudinal data without identifiers.tab

description: :unav
DOI: 10.5281/zenodo.3236022
title: Data two dimensional Fermi polaron

description: Here we report the supporting data for the manuscript "Two-dimensional repulsive Fermi polarons with short and long-range interactions", by Bombín, R., Comparin, T., Bertaina, G., Mazzanti, F., Giorgini, S., & Boronat, J. (2019) (http://arxiv.org/abs/1905.10125). If you use these data in a scientific work, please cite the corresponding article

For additional details, please contact raul.bombin@upc.edu.

The two folders "Dipoles" and "Hard_disk" refer to the two models studied in this work. Different subfolders correspond to different figures in the manuscript. Also subfolders that include the study of systematic errors are included.

Each subfolder contains a README.txt file with a description of the data files and details on the simulations.

New in v1.0.1: Updated data and descriptions in the Hard_disk folder.

New in v1.0.2: bug-fixes in README files and folder structure. Also the data files in folder "Hard_disk/Volume_deficit" have been updated.
DOI: 10.17632/mv64dmdrft.1
title: Data for: Monetary Growth and Wealth Inequality

description: Data for project along with sample code. See Notes tab for details.
DOI: 10.25919/5cf10ba492d3d
title: Parkes observations for project P971 semester 2019APRS_06

description: We propose timing observations of the relativistic pulsar - white-dwarf binary PSR J1141-6545. This unique system offers access to a wide range of physics, from relativistic phenomena through pulsar emission cone studies, to the structure and distribution of interstellar plasma along our line-of-sight. The recently installed Parkes Ultra Wide Band Low Frequency (UWL) receiver has opened up the possibility of performing first-ever studies of its orbital dynamics at high temporal resolution and study of the effects of the intra-binary medium on the dispersion and polarisation of the pulse profile. Our analysis of data obtained to date suggests that the pulsar would precess away from our line-of-sight in the next 3-5 years. Hence, regular observations are crucial to maximizing its science outcome
DOI: 10.5255/ukda-sn-853339
title: Do behavioral nudges in pre-populated tax forms affect compliance? Experimental evidence with real taxpayers 2013-2018
DOI: 10.5281/zenodo.3236048
title: RES Living Labs Operational Plan

description: This document aims to provide a solid operating structure for the interaction between the PROSEU team members and the Living Lab. It establishes a set of common goals, clarifies roles and responsibilities between the PROSEU Focal Point and the Living Lab Focal Point and outlines a clear timeline for the activities to be carried out.
description: PROSEU WP7 - Living Labs: Lessons Learned and recommendations for mainstreaming the participation of citizens in the Energy Union
DOI: 10.5281/zenodo.3236049
title: RES Living Labs Operational Plan

description: This document aims to provide a solid operating structure for the interaction between the PROSEU team members and the Living Lab. It establishes a set of common goals, clarifies roles and responsibilities between the PROSEU Focal Point and the Living Lab Focal Point and outlines a clear timeline for the activities to be carried out.
description: PROSEU WP7 - Living Labs: Lessons Learned and recommendations for mainstreaming the participation of citizens in the Energy Union
DOI: 10.5519/qd.tmoq952g
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.17036/researchdata.aston.ac.uk.00000427
title: Data underpinning article "Direct Galpha q gating is the sole mechanism for TRPM8 inhibition caused by bradykinin receptor activation"
DOI: 10.5255/ukda-sn-853489
title: An experimental investigation of the use of nudges embedded in tax filing software to reduce error rates 2013-2018
DOI: 10.5061/dryad.525988k/2
title: Dryad Item 10.5061/DRYAD.525988K/2

description: (:tba)
DOI: 10.5061/dryad.b74d971/1
title: Dryad Item 10.5061/DRYAD.B74D971/1

description: (:tba)
DOI: 10.5281/zenodo.3236008
title: Data for "On the impact of Citizen Science-derived data quality on deep learning based classification in marine images"

description: This dataset contains all the annotations done by either citizen scientists or experts of the publication: "On the impact of Citizen Science-derived data quality on deep learning based classification in marine images"

<strong>CSP.csv</strong> -&gt; CS annotations of the Citizen Science Primer-experiment

<strong>CSPExpert.csv</strong> -&gt; Expert annotations of the Citizen Science Primer-experiment

<strong>CSS.csv</strong> -&gt; CS annotations of the Citizen Science Study

<strong>CSSExpert.csv</strong> -&gt; Expert annotations of the Citizen Science Study

Visual exploration of the image data is possible in the BIIGLE 2.0 image annotation system at https://biigle.de/projects/159 using the login <em>cs@example.com</em> and the password <em>plosonecs</em>.
DOI: 10.5281/zenodo.3236009
title: Data for "On the impact of Citizen Science-derived data quality on deep learning based classification in marine images"

description: This dataset contains all the annotations done by either citizen scientists or experts of the publication: "On the impact of Citizen Science-derived data quality on deep learning based classification in marine images"

<strong>CSP.csv</strong> -&gt; CS annotations of the Citizen Science Primer-experiment

<strong>CSPExpert.csv</strong> -&gt; Expert annotations of the Citizen Science Primer-experiment

<strong>CSS.csv</strong> -&gt; CS annotations of the Citizen Science Study

<strong>CSSExpert.csv</strong> -&gt; Expert annotations of the Citizen Science Study

Visual exploration of the image data is possible in the BIIGLE 2.0 image annotation system at https://biigle.de/projects/159 using the login <em>cs@example.com</em> and the password <em>plosonecs</em>.
DOI: 10.7910/dvn/fsxpr8/ex7xet
title: kahawa_hygiene_data.tab

description: Data set used in the article, "Association between umbilical cord hygiene and neonatal sepsis among neonates presenting to a primary care facility, Kenya: A case-control study"
DOI: 10.7910/dvn/fsxpr8/s9yk0s
title: Umbilical hygiene_sepsis questionnaire.pdf

description: Questionnaire for the article, "Association between umbilical cord hygiene and neonatal sepsis among neonates presenting to a primary care facility, Kenya: A case-control study"
DOI: 10.7910/dvn/fsxpr8/uqiacb
title: kahawa_hygiene_code.do

description: Do file code used in the article, "Association between umbilical cord hygiene and neonatal sepsis among neonates presenting to a primary care facility, Kenya: A case-control study"
DOI: 10.5281/zenodo.3236015
title: Simulations of 2D Lennard-Jones particles with obstacles

description: Simulations of 2D Lennard-Jones particles with confining obstacles mimicking aggregating proteins (labeled 'a') and with non-confining obstacles corresponding to non-aggregating proteins (labeled 'na'), as well as a simulation without obstacles (labeled 'free'). 

Simulations are performed with GROMACS 4.5.6, and all simulation outputs and inputs are provided. The simulation parameter file (mdp) is common for all systems.

Simulation details and explanation of the data are provided in the related publication "Protein Crowding in Lipid Bilayers Gives Rise to Non-Gaussian Anomalous Lateral Diffusion of Phospholipids and Proteins" by Jae-Hyung Jeon et al. at https://doi.org/10.1103/PhysRevX.6.021006
DOI: 10.26300/xh2h-7t62
title: Video1_RTI_2012_640-07
DOI: 10.5281/zenodo.3236014
title: Simulations of 2D Lennard-Jones particles with obstacles

description: Simulations of 2D Lennard-Jones particles with confining obstacles mimicking aggregating proteins (labeled 'a') and with non-confining obstacles corresponding to non-aggregating proteins (labeled 'na'), as well as a simulation without obstacles (labeled 'free'). 

Simulations are performed with GROMACS 4.5.6, and all simulation outputs and inputs are provided. The simulation parameter file (mdp) is common for all systems.

Simulation details and explanation of the data are provided in the related publication "Protein Crowding in Lipid Bilayers Gives Rise to Non-Gaussian Anomalous Lateral Diffusion of Phospholipids and Proteins" by Jae-Hyung Jeon et al. at https://doi.org/10.1103/PhysRevX.6.021006
DOI: 10.26300/kdf1-vz75
title: Video2_RTI_2009_TH1-19_RightSide
DOI: 10.26300/b7rk-bn47
title: Video3_RTI_2009_TH1-19_LeftSide
DOI: 10.21227/7pf8-nq83
title: Binary classifiers' outputs for ensemble creation

description: This dataset was created based on the paper 'Andras Hajdu, Gyorgy Terdik, Attila Tiba, and Henrietta Toman:A stochastic approach to handle knapsack problems in the creation of ensembles'.To summarize our experimental setup for UCI binary classification problems, we have considered baseclassifiers perceptron, decision tree, Levenberg-Marquardt feedforward neural network, random neural network,and discriminative restricted Boltzmann machine classifier for the 5 UCI datasets MAGIC Gamma Telescope, HIGGS, EEG EyeState,Musk (Version 2), and Spambase; datasets of large cardinalities were selected to be able to train synthetic variants of base classifiers on different subsets.To check our models for different numbers of possible ensemble members, the respective pool sizes were set to 30 and 100;the necessary number of classifiers has been reached via synthesizing the base classifiers with training them on differentsubsets of the training part of the given datasets.
DOI: 10.21227/hpjv-he63
title: Binary classifiers' outputs for ensemble creation

description: This dataset was created based on the paper 'Andras Hajdu, Gyorgy Terdik, Attila Tiba, and Henrietta Toman:A stochastic approach to handle knapsack problems in the creation of ensembles'.To summarize our experimental setup for UCI binary classification problems, we have considered baseclassifiers perceptron, decision tree, Levenberg-Marquardt feedforward neural network, random neural network,and discriminative restricted Boltzmann machine classifier for the 5 UCI datasets MAGIC Gamma Telescope, HIGGS, EEG EyeState,Musk (Version 2), and Spambase; datasets of large cardinalities were selected to be able to train synthetic variants of base classifiers on different subsets.To check our models for different numbers of possible ensemble members, the respective pool sizes were set to 30 and 100;the necessary number of classifiers has been reached via synthesizing the base classifiers with training them on differentsubsets of the training part of the given datasets.
DOI: 10.5285/8a2c7501-d781-48a6-e053-6c86abc09c7e
title: Seawater dissolved inorganic nutrients for Porcupine Abyssal Plain Sustained Observatory (PAP-SO) cruise JC165 in 2018.

description: This dataset contains dissolved inorganic nutrient data collected from CTD water bottle samples on the CLASS funded cruise JC165 in May and June 2018 around the PAP-SO site (49N 16.5W). The 115 water samples were frozen onboard and analysed using a SEAL Quattro at NOCS (Southampton) using standard autoanalyser methods for dissolved inorganic nutrients (nitrite, nitrate and nitrite, silicate, and phosphate). The initial analysis had to be re-done due to initial failure of the analyser. The samples were frozen again and kept in the dark then re-run, and final runs are in agreement with external certified reference materials (CRMs).
DOI: 10.17632/pngmgm9yr3.3
title: MC-4C pipeline: test data

description: This is a reduced MC-4C dataset provided to be used as a test case for running MC-4C pipeline. The MC-4C pipeline can be freely downloaded from: https://github.com/aallahyar/mc4c_py Changes compared to original upload: - Changed name of fastq file from "raw_BMaj-test.fastq" to "fq_BMaj-test.fastq.gz" - Fields are now separated by comma instead of semi-colon
DOI: 10.21227/ehdt-wf35
title: Test

description: asd
DOI: 10.21227/8zak-sf37
title: Binary classifiers' outputs for ensemble creation

description: This dataset was created based on the paper 'Andras Hajdu, Gyorgy Terdik, Attila Tiba, and Henrietta Toman:A stochastic approach to handle knapsack problems in the creation of ensembles'.To summarize our experimental setup for UCI binary classification problems, we have considered baseclassifiers perceptron, decision tree, Levenberg-Marquardt feedforward neural network, random neural network,and discriminative restricted Boltzmann machine classifier for the 5 UCI datasets MAGIC Gamma Telescope, HIGGS, EEG EyeState,Musk (Version 2), and Spambase; datasets of large cardinalities were selected to be able to train synthetic variants of base classifiers on different subsets.To check our models for different numbers of possible ensemble members, the respective pool sizes were set to 30 and 100;the necessary number of classifiers has been reached via synthesizing the base classifiers with training them on differentsubsets of the training part of the given datasets.
DOI: 10.21227/yy5e-d566
title: Binary classifiers' outputs for ensemble creation

description: This dataset was created based on the paper 'Andras Hajdu, Gyorgy Terdik, Attila Tiba, and Henrietta Toman:A stochastic approach to handle knapsack problems in the creation of ensembles'.To summarize our experimental setup for UCI binary classification problems, we have considered baseclassifiers perceptron, decision tree, Levenberg-Marquardt feedforward neural network, random neural network,and discriminative restricted Boltzmann machine classifier for the 5 UCI datasets MAGIC Gamma Telescope, HIGGS, EEG EyeState,Musk (Version 2), and Spambase; datasets of large cardinalities were selected to be able to train synthetic variants of base classifiers on different subsets.To check our models for different numbers of possible ensemble members, the respective pool sizes were set to 30 and 100;the necessary number of classifiers has been reached via synthesizing the base classifiers with training them on different subsets of the training part of the given datasets.
DOI: 10.25345/c5qd2x
title: MassIVE MSV000083877 - A robust and versatile automated glycoanalytical technology for serum antibodies and acute phase proteins: ovarian cancer case study
title: N-glycoprofiles of IgG, IgM, IgA and transferrin, haptoglobin, alpha-1-antitrypsan in human serum
DOI: 10.25919/5cf11e5bc79f4
title: Parkes observations for project P971 semester 2019APRS_07

description: We propose timing observations of the relativistic pulsar - white-dwarf binary PSR J1141-6545. This unique system offers access to a wide range of physics, from relativistic phenomena through pulsar emission cone studies, to the structure and distribution of interstellar plasma along our line-of-sight. The recently installed Parkes Ultra Wide Band Low Frequency (UWL) receiver has opened up the possibility of performing first-ever studies of its orbital dynamics at high temporal resolution and study of the effects of the intra-binary medium on the dispersion and polarisation of the pulse profile. Our analysis of data obtained to date suggests that the pulsar would precess away from our line-of-sight in the next 3-5 years. Hence, regular observations are crucial to maximizing its science outcome
DOI: 10.15468/l1umcs
title: Lestes spatula, a new species of dragonfly from the Argentine Republic (Odonata)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Fraser, F. C. (1946): Lestes spatula, a new species of dragonfly from the Argentine Republic (Odonata). Proceedings of the Royal Entomological Society of London. Series B, Taxonomy 15: 46-48, DOI: 10.5281/zenodo.3236260
DOI: 10.21227/q8ed-1877
title: Binary classifiers' outputs for ensemble creation

description: This dataset was created based on the paper 'Andras Hajdu, Gyorgy Terdik, Attila Tiba, and Henrietta Toman:A stochastic approach to handle knapsack problems in the creation of ensembles'.To summarize our experimental setup for UCI binary classification problems, we have considered baseclassifiers perceptron, decision tree, Levenberg-Marquardt feedforward neural network, random neural network,and discriminative restricted Boltzmann machine classifier for the 5 UCI datasets MAGIC Gamma Telescope, HIGGS, EEG EyeState,Musk (Version 2), and Spambase; datasets of large cardinalities were selected to be able to train synthetic variants of base classifiers on different subsets.To check our models for different numbers of possible ensemble members, the respective pool sizes were set to 30 and 100;the necessary number of classifiers has been reached via synthesizing the base classifiers with training them on different subsets of the training part of the given datasets.