cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.4289993.v1
title: 3YRKPOPSURVEY_Q14_1FAVE.xlsx

description: 334 Responses collected 4/16/2012 - 4/01/2015 in response to the question, "Name your favorite group OR artist and explain why that artist is your favorite.."
DOI: 10.17608/k6.auckland.4289921
title: a default data stream for PALplots

description: a rotational scan as an example data set to illustrate palplots
DOI: 10.17608/k6.auckland.4289921.v1
title: a default data stream for PALplots

description: a rotational scan as an example data set to illustrate palplots
DOI: 10.6084/m9.figshare.4289756
title: EyeDataVisualSearch.tar.gz

description: This database corresponds to the eye tracker experiment carried out in<br>[1]- Amor TA, Reis SD, Campos D, Herrmann HJ, Andrade JS. 2016 Persistence in eye movement<br>during visual search. Sci Rep 6, 20815. (doi: 10.1038/srep20815)<br><br>where participants were asked to find a unique number 5 embedded in a cloud of numbers between 1 and 9.<br><br>The folder DATAXY contains files labeled as sN_trial_i_X_cor_sac or sN_trial_i_Y_cor_sac, where N indicates<br>the subject ID and i, the trial that they performed corresponding this to a particular stimuli. The images<br>corresponding to the stimuli can be found in the STIMULI folder. Each file contains the X (Y) position in pixels<br>for the center of mass of a fixation. Specific details on the experimental setup and equipment used can be found in the <br>Material and Methods section in Ref.[1]. Trials that were not correctly recorded were disregarded, thus they are not<br>present in this database.<br><br>A minimal python script was developed in order to make a simple plot of the experimental trajectories (plot_tray.py). <br>Please note, that the figure (test.pdf) is an example trajectory corresponding to S03_trial_1 (which also corresponds to<br>the trajectory in Fig.1 of Ref.[1]).<br>To run this code you need to have installed the following<br>python libraries:<br>-numpy<br>-matplotlib<br><br>To run it, open a terminal and type "python plot_tray.py"<br><br><br>If you use this database please cite [1].<br>If you have any questions or encounter any problems, please do not hesitate to contact Tatiana A. Amor at tatiana@fisica.ufc.br<br><br>
DOI: 10.6084/m9.figshare.4289756.v1
title: EyeDataVisualSearch.tar.gz

description: This database corresponds to the eye tracker experiment carried out in<br>[1]- Amor TA, Reis SD, Campos D, Herrmann HJ, Andrade JS. 2016 Persistence in eye movement<br>during visual search. Sci Rep 6, 20815. (doi: 10.1038/srep20815)<br><br>where participants were asked to find a unique number 5 embedded in a cloud of numbers between 1 and 9.<br><br>The folder DATAXY contains files labeled as sN_trial_i_X_cor_sac or sN_trial_i_Y_cor_sac, where N indicates<br>the subject ID and i, the trial that they performed corresponding this to a particular stimuli. The images<br>corresponding to the stimuli can be found in the STIMULI folder. Each file contains the X (Y) position in pixels<br>for the center of mass of a fixation. Specific details on the experimental setup and equipment used can be found in the <br>Material and Methods section in Ref.[1]. Trials that were not correctly recorded were disregarded, thus they are not<br>present in this database.<br><br>A minimal python script was developed in order to make a simple plot of the experimental trajectories (plot_tray.py). <br>Please note, that the figure (test.pdf) is an example trajectory corresponding to S03_trial_1 (which also corresponds to<br>the trajectory in Fig.1 of Ref.[1]).<br>To run this code you need to have installed the following<br>python libraries:<br>-numpy<br>-matplotlib<br><br>To run it, open a terminal and type "python plot_tray.py"<br><br><br>If you use this database please cite [1].<br>If you have any questions or encounter any problems, please do not hesitate to contact Tatiana A. Amor at tatiana@fisica.ufc.br<br><br>
DOI: 10.6084/m9.figshare.4289753
title: DATAXY.tar.gz

description: This database corresponds to the eye tracker experiment carried in:<br>[1]- Amor TA, Reis SD, Campos D, Herrmann HJ, Andrade JS. 2016 Persistence in eye movement<br>during visual search. Sci Rep 6, 20815. (doi: 10.1038/srep20815)<br>
DOI: 10.6084/m9.figshare.4289753.v1
title: DATAXY.tar.gz

description: This database corresponds to the eye tracker experiment carried in:<br>[1]- Amor TA, Reis SD, Campos D, Herrmann HJ, Andrade JS. 2016 Persistence in eye movement<br>during visual search. Sci Rep 6, 20815. (doi: 10.1038/srep20815)<br>
DOI: 10.6084/m9.figshare.4289705
title: The feasibility of implementing a communication skills training course in pediatric hematology/oncology fellowship

description: Communication skills are a competency highlighted by the Accreditation Council on Graduate Medical Education; yet, little is known about the frequency with which trainees receive formal training or what programs are willing to invest. We sought to answer this question and designed a program to address identified barriers. We surveyed pediatric fellowship program directors from all disciplines and, separately, pediatric hematology/oncology fellowship program directors to determine current use of formal communication skills training. At our institution, we piloted a standardized patient (SP)-based communication skills training program for pediatric hematology/oncology fellows. Twenty-seven pediatric hematology/oncology program directors and 44 pediatric program directors participated in the survey, of which 56% and 48%, respectively, reported having an established, formal communication skills training course. Multiple barriers to implementation of a communication skills course were identified, most notably time and cost. In the pilot program, 13 pediatric hematology/oncology fellows have participated, and 9 have completed all 3 years of training. Precourse assessment demonstrated fellows had limited comfort in various areas of communication. Following course completion, there was a significant increase in self-reported comfort and/or skill level in such areas of communication, including discussing a new diagnosis (<i>p</i> =.0004), telling a patient they are going to die (<i>p</i> =.005), discussing recurrent disease (<i>p</i> p =.002), or responding to anger (<i>p</i> ≤.001). We have designed a concise communication skills training program, which addresses identified barriers and can feasibly be implemented in pediatric hematology/oncology fellowship.
DOI: 10.6084/m9.figshare.4289750
title: STIMULI.tar.gz

description: This database corresponds to the eye tracker experiment carried in:<br>[1]- Amor TA, Reis SD, Campos D, Herrmann HJ, Andrade JS. 2016 Persistence in eye movement<br>during visual search. Sci Rep 6, 20815. (doi: 10.1038/srep20815)<br>
DOI: 10.6084/m9.figshare.4289705.v1
title: The feasibility of implementing a communication skills training course in pediatric hematology/oncology fellowship

description: Communication skills are a competency highlighted by the Accreditation Council on Graduate Medical Education; yet, little is known about the frequency with which trainees receive formal training or what programs are willing to invest. We sought to answer this question and designed a program to address identified barriers. We surveyed pediatric fellowship program directors from all disciplines and, separately, pediatric hematology/oncology fellowship program directors to determine current use of formal communication skills training. At our institution, we piloted a standardized patient (SP)-based communication skills training program for pediatric hematology/oncology fellows. Twenty-seven pediatric hematology/oncology program directors and 44 pediatric program directors participated in the survey, of which 56% and 48%, respectively, reported having an established, formal communication skills training course. Multiple barriers to implementation of a communication skills course were identified, most notably time and cost. In the pilot program, 13 pediatric hematology/oncology fellows have participated, and 9 have completed all 3 years of training. Precourse assessment demonstrated fellows had limited comfort in various areas of communication. Following course completion, there was a significant increase in self-reported comfort and/or skill level in such areas of communication, including discussing a new diagnosis (<i>p</i> =.0004), telling a patient they are going to die (<i>p</i> =.005), discussing recurrent disease (<i>p</i> p =.002), or responding to anger (<i>p</i> ≤.001). We have designed a concise communication skills training program, which addresses identified barriers and can feasibly be implemented in pediatric hematology/oncology fellowship.
DOI: 10.6084/m9.figshare.4289750.v1
title: STIMULI.tar.gz

description: This database corresponds to the eye tracker experiment carried in:<br>[1]- Amor TA, Reis SD, Campos D, Herrmann HJ, Andrade JS. 2016 Persistence in eye movement<br>during visual search. Sci Rep 6, 20815. (doi: 10.1038/srep20815)<br>
DOI: 10.6084/m9.figshare.4288949
title: Cryptic diversity, geographical endemism and allopolyploidy in NE Pacific seaweeds

description: Microsatellite dataset (13 loci) for Pelvetiopsis spp.<br>
DOI: 10.6084/m9.figshare.4288949.v1
title: Cryptic diversity, geographical endemism and allopolyploidy in NE Pacific seaweeds

description: Microsatellite dataset (13 loci) for Pelvetiopsis spp.<br>
DOI: 10.6084/m9.figshare.4288931
title: A Generalized Smoother for Linear Ordinary Differential Equations

description: Ordinary differential equations (ODEs) are equalities involving a function and its derivatives that define the evolution of the function over a prespecified domain. The applications of ODEs range from simulation and prediction to control and diagnosis in diverse fields such as engineering, physics, medicine, and finance. Parameter estimation is often required to calibrate these theoretical models to data. While there are many methods for estimating ODE parameters from partially observed data, they are invariably subject to several problems including high computational cost, complex estimation procedures, biased estimates, and large sampling variance. We propose a method that overcomes these issues and produces estimates of the ODE parameters that have less bias, a smaller sampling variance, and a 10-fold improvement in computational efficiency. The package <i>GenPen</i> containing the Matlab code to perform the methods described in this article is available online.
DOI: 10.6084/m9.figshare.4288931.v1
title: A Generalized Smoother for Linear Ordinary Differential Equations

description: Ordinary differential equations (ODEs) are equalities involving a function and its derivatives that define the evolution of the function over a pre-specified domain. The applications of ODEs range from simulation and prediction to control and diagnosis in diverse fields such as engineering, physics, medicine, and finance. Parameter estimation is often required to calibrate these theoretical models to data. While there are many methods for estimating ODE parameters from partially observed data, they are invariably subject to several problems including high computational cost, complex estimation procedures, biased estimates and large sampling variance. We propose a method that overcomes these issues and produces estimates of the ODE parameters that have less bias, a smaller sampling variance and a ten fold improvement in computational efficiency. The package <i>GenPen</i> containing the Matlab code to perform the methods described in this paper is available online.
DOI: 10.6084/m9.figshare.4288931.v3
title: A Generalized Smoother for Linear Ordinary Differential Equations

description: Ordinary differential equations (ODEs) are equalities involving a function and its derivatives that define the evolution of the function over a prespecified domain. The applications of ODEs range from simulation and prediction to control and diagnosis in diverse fields such as engineering, physics, medicine, and finance. Parameter estimation is often required to calibrate these theoretical models to data. While there are many methods for estimating ODE parameters from partially observed data, they are invariably subject to several problems including high computational cost, complex estimation procedures, biased estimates, and large sampling variance. We propose a method that overcomes these issues and produces estimates of the ODE parameters that have less bias, a smaller sampling variance, and a 10-fold improvement in computational efficiency. The package <i>GenPen</i> containing the Matlab code to perform the methods described in this article is available online.
DOI: 10.6084/m9.figshare.4288931.v2
title: A Generalized Smoother for Linear Ordinary Differential Equations

description: Ordinary differential equations (ODEs) are equalities involving a function and its derivatives that define the evolution of the function over a prespecified domain. The applications of ODEs range from simulation and prediction to control and diagnosis in diverse fields such as engineering, physics, medicine, and finance. Parameter estimation is often required to calibrate these theoretical models to data. While there are many methods for estimating ODE parameters from partially observed data, they are invariably subject to several problems including high computational cost, complex estimation procedures, biased estimates, and large sampling variance. We propose a method that overcomes these issues and produces estimates of the ODE parameters that have less bias, a smaller sampling variance, and a 10-fold improvement in computational efficiency. The package <i>GenPen</i> containing the Matlab code to perform the methods described in this article is available online.
DOI: 10.6084/m9.figshare.4288877
title: moravec_data.rar

description: Data used in the article "Arithmetic on your phone: a large scale investigation of simple additions and multiplications" accepted for publication in Plos One
DOI: 10.6084/m9.figshare.4288847.v1
title: Article_MCDist_NPG_final_data.xlsx

description: Dataset used in the manuscript: Fine-scale distribution of moisture in the surface of a degraded blanket bog and its effects on the potential spread of smouldering fire Authors: Nuria Prat-Guitart, Claire M. Belcher, Dan K. Thompson, Paul Burns and Jon M. Yearsley
DOI: 10.6084/m9.figshare.4288847.v2
title: Article_MCDist_NPG_final_data.xlsx

description: Dataset used in the manuscript: Fine-scale distribution of moisture in the surface of a degraded blanket bog and its effects on the potential spread of smouldering fire Authors: Nuria Prat-Guitart, Claire M. Belcher, Dan K. Thompson, Paul Burns and Jon M. Yearsley
DOI: 10.6084/m9.figshare.4288538
title: Supplementary Material for: The Utility of the Mini-Addenbrooke’s Cognitive Examination as a Screen for Cognitive Impairment in Elderly Patients with Chronic Kidney Disease and Diabetes

description: <br><strong><em>Background/Aims:</em></strong> We tested the utility of the Mini-Addenbrooke’s Cognitive Examination (M-ACE) in a cohort of older adults with chronic kidney disease (CKD) and diabetes. <b><i>Method:</i></b> The M-ACE was administered to 112 CKD and diabetes patients attending a nephrology clinic. Cognitive impairment was based upon patient, informant, and case review, neuropsychological assessment, and application of criteria for mild cognitive impairment (MCI) and the Diagnostic and Statistical Manual of Mental Disorders, fifth edition for dementia. The M-ACE was also compared to the Mini-Mental State Examination (MMSE). <b><i>Results:</i></b> Upon assessment, 52 patients had normal cognitive function, 33 had MCI, and 27 had dementia. The area under the receiver operating curve for the M-ACE was 0.96 (95% CI 0.95–1.00). The sensitivity and specificity for a dementia diagnosis were 0.96 and 0.84 at the cut point &lt;25 and 0.70 and 1.00 at the cut point &lt;21. Mean M-ACE scores differed significantly between normal, demented, and MCI groups (<i>p</i> &lt; 0.001), and compared to the MMSE, the M-ACE did not suffer from ceiling effects. <b><i>Conclusion:</i></b> The M-ACE is an easily administered test with good sensitivity and specificity to capture and assist in the diagnosis of MCI or dementia in patients with CKD and diabetes.
DOI: 10.6084/m9.figshare.4288532
title: Joy of Destruction Dark Triad data

description: Data describe a decision to destroy or not destroy a partner's earnings as a function of the composite Dark Triad personality score and country of origin (India / USA). Data were collected from participants recruited online via amazon Mechanical Turk.<br><br>R code to reproduce analyses are also supplied in a separate file.<br><br>
DOI: 10.6084/m9.figshare.4288538.v1
title: Supplement Material for: The Utility of the Mini-Addenbrooke’s Cognitive Examination as a Screen for Cognitive Impairment in Elderly Patients with Chronic Kidney Disease and Diabetes

description: <br><strong><em>Background/Aims:</em></strong> We tested the utility of the Mini-Addenbrooke’s Cognitive Examination (M-ACE) in a cohort of older adults with chronic kidney disease (CKD) and diabetes. <b><i>Method:</i></b> The M-ACE was administered to 112 CKD and diabetes patients attending a nephrology clinic. Cognitive impairment was based upon patient, informant, and case review, neuropsychological assessment, and application of criteria for mild cognitive impairment (MCI) and the Diagnostic and Statistical Manual of Mental Disorders, fifth edition for dementia. The M-ACE was also compared to the Mini-Mental State Examination (MMSE). <b><i>Results:</i></b> Upon assessment, 52 patients had normal cognitive function, 33 had MCI, and 27 had dementia. The area under the receiver operating curve for the M-ACE was 0.96 (95% CI 0.95–1.00). The sensitivity and specificity for a dementia diagnosis were 0.96 and 0.84 at the cut point &lt;25 and 0.70 and 1.00 at the cut point &lt;21. Mean M-ACE scores differed significantly between normal, demented, and MCI groups (<i>p</i> &lt; 0.001), and compared to the MMSE, the M-ACE did not suffer from ceiling effects. <b><i>Conclusion:</i></b> The M-ACE is an easily administered test with good sensitivity and specificity to capture and assist in the diagnosis of MCI or dementia in patients with CKD and diabetes.
DOI: 10.6084/m9.figshare.4288502
title: Superfund Locations and Potential Associations with Cancer Incidence in Florida

description: <i>Background</i>: Uncontrolled hazardous wastes sites have the potential to adversely impact human health and damage or disrupt ecological systems and the greater environment. Four decades have passed since the Superfund law was enacted, allowing increased exposure time to these potential health hazards while also allowing advancement of analysis techniques. Florida has the sixth highest number of Superfund sites in the US and, in 2016, Florida was projected to have the second largest number of new cancer cases in the US. <i>Objectives</i>: We explore statewide cancer incidence in Florida from 1986 to 2010 to determine if differences or associations exist in counties containing Superfund sites compared to counties that do not. <i>Methods</i>: To investigate potential environmental associations with cancer incidence; results using spatial and non-spatial mixed models were compared. <i>Results</i>: Using a Poisson-Gamma generalized linear mixture model, our results provide some evidence of an association between cancer incidence rates and Superfund site hazard levels, as well as proxy measures of water contamination around Superfund sites. In addition, results build upon previously observed gender differences in cancer incidence rates and further indicate <i>spatial</i> differences for cancer incidence. <i>Conclusions</i>: Results indicate strong evidence of heterogeneity among cancer incidence rates across Florida with some mild association with Superfund exposure proxies.
DOI: 10.6084/m9.figshare.4288502.v1
title: Superfund Locations and Potential Associations with Cancer Incidence in Florida

description: <i>Background</i>: Uncontrolled hazardous wastes sites have the potential to adversely impact human health and damage or disrupt ecological systems and the greater environment. Four decades have passed since the Superfund law was enacted, allowing increased exposure time to these potential health hazards while also allowing advancement of analysis techniques. Florida has the sixth highest number of Superfund sites in the US and, in 2016, Florida was projected to have the second largest number of new cancer cases in the US. <i>Objectives</i>: We explore statewide cancer incidence in Florida from 1986 to 2010 to determine if differences or associations exist in counties containing Superfund sites compared to counties that do not. <i>Methods</i>: To investigate potential environmental associations with cancer incidence; results using spatial and non-spatial mixed models were compared. <i>Results</i>: Using a Poisson-Gamma generalized linear mixture model, our results provide some evidence of an association between cancer incidence rates and Superfund site hazard levels, as well as proxy measures of water contamination around Superfund sites. In addition, results build upon previously observed gender differences in cancer incidence rates and further indicate <i>spatial</i> differences for cancer incidence. <i>Conclusions</i>: Results indicate strong evidence of heterogeneity among cancer incidence rates across Florida with some mild association with Superfund exposure proxies.
DOI: 10.6084/m9.figshare.4288499
title: Superfund Locations and Potential Associations with Cancer Incidence in Florida

description: Uncontrolled hazardous wastes sites have the potential to adversely impact human health and damage or disrupt ecological systems and the greater environment. Four decades have passed since the Superfund law was enacted, allowing increased exposure time to these potential health hazards while also allowing advancement of analysis techniques. Florida has the sixth highest number of Superfund sites in the US and, in 2016, Florida was projected to have the second largest number of new cancer cases in the US. We explore statewide cancer incidence in Florida from 1986 to 2010 to determine if differences or associations exist in counties containing Superfund sites compared to counties that do not. To investigate potential environmental associations with cancer incidence; results using spatial and nonspatial mixed models were compared. Using a Poisson–Gamma mixture model, our results provide some evidence of an association between cancer incidence rates and Superfund site hazard levels, as well as proxy measures of water contamination around Superfund sites. In addition, results build upon previously observed gender differences in cancer incidence rates and further indicate <i>spatial</i> differences for cancer incidence. Heterogeneity among cancer incidence rates were observed across Florida with some mild association with Superfund exposure proxies.
DOI: 10.6084/m9.figshare.4288532.v1
title: Joy of Destruction Dark Triad data

description: Data describe a decision to destroy or not destroy a partner's earnings as a function of the composite Dark Triad personality score and country of origin (India / USA). Data were collected from participants recruited online via amazon Mechanical Turk.<br><br>R code to reproduce analyses are also supplied in a separate file.<br><br>