cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.1481062.v3
title: Road characteristics best predict the probability of vehicle collisions with a non-native, hyperabundant ungulate

description: These datafiles are used in analyses contained in the manuscript Tanner, A.L., Leroux, S.J., and Saunders, P.W. [submitted]. Road characteristics best predict the probability of vehicle collisions with a non-native, hyperabundant ungulate. These data include information on environmental variables at 600 moose-vehicle collision locations, and 3296 randomly selected locations in Newfoundland, Canada. There are three buffer sizes (500m, 2736m, and 5471m) used for all variables that require buffered areas. This file also contains the R code that we used to conduct the analyses. We have included comments throughout the code in order to understand the operations being performed. When importing a new dataset (either: spatialall.csv or spatialallcorr.csv) while running the R code, be sure to set the Please read Metadata file carefully before using any of this data.
DOI: 10.6084/m9.figshare.1481062.v4
title: Road characteristics best predict the probability of vehicle collisions with a non-native, hyperabundant ungulate

description: These datafiles are used in analyses contained in the manuscript Tanner, A.L., Leroux, S.J., and Saunders, P.W. [submitted]. Road characteristics best predict the probability of vehicle collisions with a non-native, hyperabundant ungulate. These data include information on environmental variables at 600 moose-vehicle collision locations, and 3296 randomly selected locations in Newfoundland, Canada. There are three buffer sizes (500m, 2736m, and 5471m) used for all variables that require buffered areas. This file also contains the R code that we used to conduct the analyses. We have included comments throughout the code in order to understand the operations being performed. When importing a new dataset (either: spatialall.csv or spatialallcorr.csv) while running the R code, be sure to set the Please read Metadata file carefully before using any of this data.
DOI: 10.6084/m9.figshare.1481062.v5
title: Road characteristics best predict the probability of vehicle collisions with a non-native, hyperabundant ungulate

description: These datafiles are used in analyses contained in the manuscript Tanner, A.L., Leroux, S.J., and Saunders, P.W. [submitted]. Road characteristics best predict the probability of vehicle collisions with a non-native, hyperabundant ungulate. These data include information on environmental variables at 600 moose-vehicle collision locations, and 3296 randomly selected locations in Newfoundland, Canada. There are three buffer sizes (500m, 2736m, and 5471m) used for all variables that require buffered areas. This file also contains the R code that we used to conduct the analyses. We have included comments throughout the code in order to understand the operations being performed. When importing a new dataset (either: spatialall.csv or spatialallcorr.csv) while running the R code, be sure to set the Please read Metadata file carefully before using any of this data.
DOI: 10.6084/m9.figshare.1480957
title: Variación de los niveles de glucosa sanguínea post-administración de un extracto acuoso de Moringa oleífera en adultos normoglicémicos

description: La Moringa oleífera es una especie vegetal utilizada en la medicina popular para el tratamiento de diversas enfermedades, entre ellas la Diabetes mellitus de tipo 2. El presente estudio tuvo como<br>objetivo determinar si el consumo de un extracto acuoso de Moringa oleífera (MO) al 10 %, ejercía un efecto sobre la glucosa sanguínea en adultos normo glicémicos, previa administración de 100g de glucosa anhidra, correlacionando dicha variación con la acción hipoglucemiante atribuida a la MO y verificando que tal efecto fuese debido al empleo de la planta ya mencionada. El modelo de estudio escogido fue cuasi experimental, de corte trasversal. Los resultados obtenidos demostraron que no fue visualizada una disminución significativa de la glucosa sanguínea, a la concentración del 10 % de un extracto acuoso de hojas Moringa oleífera en una única dosis de administración; desmitificando así, que la concentración de uso popular poseía mayores efectos sobre la glucosa sanguínea en periodos breves de tratamiento.
DOI: 10.6084/m9.figshare.1481062.v6
title: Road characteristics best predict the probability of vehicle collisions with a non-native, hyperabundant ungulate

description: These datafiles are used in analyses contained in the manuscript Tanner, A.L., Leroux, S.J., and Saunders, P.W. [submitted]. Road characteristics best predict the probability of vehicle collisions with a non-native, hyperabundant ungulate. These data include information on environmental variables at 600 moose-vehicle collision locations, and 3296 randomly selected locations in Newfoundland, Canada. There are three buffer sizes (500m, 2736m, and 5471m) used for all variables that require buffered areas. This file also contains the R code that we used to conduct the analyses. We have included comments throughout the code in order to understand the operations being performed. When importing a new dataset (either: spatialall2.csv or spatialallcorr2.csv) while running the R code, be sure to set the Please read Metadata file carefully before using any of this data.
DOI: 10.6084/m9.figshare.1481062.v7
title: Road characteristics best predict the probability of vehicle collisions with a non-native, hyperabundant ungulate

description: These datafiles are used in analyses contained in the manuscript Tanner, A.L., Leroux, S.J., and Saunders, P.W. [submitted]. Road characteristics best predict the probability of vehicle collisions with a non-native, hyperabundant ungulate. These data include information on environmental variables at 600 moose-vehicle collision locations, and 3296 randomly selected locations in Newfoundland, Canada. There are three buffer sizes (500m, 2736m, and 5471m) used for all variables that require buffered areas. This file also contains the R code that we used to conduct the analyses. We have included comments throughout the code in order to understand the operations being performed. When importing a new dataset (either: spatialall2.csv or spatialallcorr2.csv) while running the R code, be sure to set the Please read Metadata file carefully before using any of this data.
DOI: 10.6084/m9.figshare.1480941
title: AMASED Second Phase (Jisc Data Spring Sandpit 2)

description: Materials for Jisc sandpit 2: AMASED project bid for second phase funding. Project Rationale and phase 1 plan, costings and pitch are available at http://dx.doi.org/10.6084/m9.figshare.1319503
DOI: 10.6084/m9.figshare.1481062.v8
title: Road Characteristics Best Predict the Probability of Vehicle Collisions with a Non-native, Hyperabundant Ungulate

description: These datafiles are used in analyses contained in the manuscript Tanner AL, Leroux SJ, and Saunders PW. [submitted]. Road Characteristics Best Predict the Probability of Vehicle Collisions with a Non-native, Hyperabundant Ungulate. These data include information on environmental variables at 600 moose-vehicle collision locations, and 3296 randomly selected locations in Newfoundland, Canada. There are three buffer sizes (500m, 2736m, and 5471m) used for all variables that require buffered areas. This file also contains the R code that we used to conduct the analyses. We have included comments throughout the code in order to understand the operations being performed. When importing a new dataset (either: spatialall3.csv or spatialallcorr3.csv) while running the R code, be sure to set the Please read Metadata file carefully before using any of this data.
DOI: 10.6084/m9.figshare.1480941.v3
title: AMASED Second Phase (Jisc Data Spring Sandpit 2)

description: Materials for Jisc sandpit 2: AMASED project bid for second phase funding. Project Rationale and phase 1 plan, costings and pitch are available at http://dx.doi.org/10.6084/m9.figshare.1319503
DOI: 10.6084/m9.figshare.1480957.v2
title: Variación de los niveles de glucosa sanguínea post-administración de un extracto acuoso de Moringa oleífera en adultos normoglicémicos

description: La Moringa oleífera es una especie vegetal utilizada en la medicina popular para el tratamiento de diversas enfermedades, entre ellas la Diabetes mellitus de tipo 2. El presente estudio tuvo como<br>objetivo determinar si el consumo de un extracto acuoso de Moringa oleífera (MO) al 10 %, ejercía un efecto sobre la glucosa sanguínea en adultos normo glicémicos, previa administración de 100g de glucosa anhidra, correlacionando dicha variación con la acción hipoglucemiante atribuida a la MO y verificando que tal efecto fuese debido al empleo de la planta ya mencionada. El modelo de estudio escogido fue cuasi experimental, de corte trasversal. Los resultados obtenidos demostraron que no fue visualizada una disminución significativa de la glucosa sanguínea, a la concentración del 10 % de un extracto acuoso de hojas Moringa oleífera en una única dosis de administración; desmitificando así, que la concentración de uso popular poseía mayores efectos sobre la glucosa sanguínea en periodos breves de tratamiento.
DOI: 10.6084/m9.figshare.1481062.v9
title: Road Characteristics Best Predict the Probability of Vehicle Collisions with a Non-native Ungulate

description: These datafiles are used in analyses contained in the manuscript Tanner AL, Leroux SJ, and Saunders PW. [submitted]. Road Characteristics Best Predict the Probability of Vehicle Collisions with a Non-native Ungulate. These data include information on environmental variables at 600 moose-vehicle collision locations and 1200 randomly selected locations in Newfoundland, Canada. There is one buffer size (5471m radius) used for all variables that require buffered areas. This file also contains the R code that we used to conduct the analyses. We have included comments throughout the code in order to understand the operations being performed. Be sure to import the new datasets (spatialallmvc.csv or spatialallrandom.csv). Please read Metadata file carefully before using any of this data.
DOI: 10.6084/m9.figshare.1480941.v4
title: AMASED Second Phase (Jisc Data Spring Sandpit 2)

description: Materials for Jisc sandpit 2: AMASED project bid for second phase funding. Project Rationale and phase 1 plan, costings and pitch are available at http://dx.doi.org/10.6084/m9.figshare.1319503
DOI: 10.6084/m9.figshare.1480941.v6
title: AMASED Second Phase (Jisc Data Spring Sandpit 2)

description: Materials for Jisc sandpit 2: AMASED project bid for second phase funding. Project Rationale and phase 1 plan, costings and pitch are available at http://dx.doi.org/10.6084/m9.figshare.1319503
DOI: 10.6084/m9.figshare.1480941.v5
title: AMASED Second Phase (Jisc Data Spring Sandpit 2)

description: Materials for Jisc sandpit 2: AMASED project bid for second phase funding. Project Rationale and phase 1 plan, costings and pitch are available at http://dx.doi.org/10.6084/m9.figshare.1319503
DOI: 10.6084/m9.figshare.1480646
title: JGR2015_paper

description: The file "output.txt" contains the arrival times of particles at the flume outlet. The dataset is supplemented with a Mathematica notebook (version 10.0) for computing the particle transport rate and plotting figures.
DOI: 10.6084/m9.figshare.1480646.v1
title: JGR2015_paper

description: The file "output.txt" contains the arrival times of particles at the flume outlet. The dataset is supplemented with a Mathematica notebook (version 10.0) for computing the particle transport rate and plotting figures.
DOI: 10.6084/m9.figshare.1480506
title: 2013 Technology in Advising Use in Higher Education [SURVEY]

description: Title of Study: 2013 Technology in Advising Use in Higher Education Date: April 2013 Document: Survey Instrument; CC-BY license Purpose of the Study Participants were asked to participate in a research study to assess and evaluation how technology is being used for academic advising purposes in colleges and universities around the globe. The Global Community for Academic Advising (NACADA), specifically the NACADA Technology in Advising Commission and UNT co-sponsored research is designed to examine the current use and perception of technology for advising among professional/faculty advisors, advising administration, and others in higher education. Citation: Pasquini, L. A., Steele, G. E., & Cox. P. (2013). 2013 Technology in Advising Use in Higher Education Survey. <em>figshare</em>. http://dx.doi.org/10.6084/m9.figshare.1480506
DOI: 10.6084/m9.figshare.1480506.v2
title: 2013 Technology in Advising Use in Higher Education [SURVEY]

description: Title of Study: 2013 Technology in Advising Use in Higher Education Date: April 2013 Document: Survey Instrument; CC-BY license Purpose of the Study Participants were asked to participate in a research study to assess and evaluation how technology is being used for academic advising purposes in colleges and universities around the globe. The Global Community for Academic Advising (NACADA), specifically the NACADA Technology in Advising Commission and UNT co-sponsored research is designed to examine the current use and perception of technology for advising among professional/faculty advisors, advising administration, and others in higher education. Title of Study: 2013 Technology in Advising Use in Higher Education Date of research: March-April 2013 Type of Study: Online, survey; open and closed questions
DOI: 10.6084/m9.figshare.1480476
title: ¿TENEMOS LOS PROFESIONALES DE ENFERMERÍA CONOCIMIENTOS Y FORMACIÓN SOBRE ASPECTOS BIOÉTICOS

description: OBJETIVOS: Conocer el grado de conocimientos, nivel de formación y la percepción en aspectos bioéticos de los profesionales de enfermería. METODOLOGÍA: Estudio descriptivo transversal. Lugar: Hospital Sierrallana. Población diana: enfermeras de las 5 unidades de hospitalización (n=70). Datos obtenidos a través cuestionarios autocumplimentables con variables sociodemográficas y relacionadas con formación, conocimientos y percepción. Se aplica escala Likert (5 niveles de respuesta) a la percepción de algunos aspectos bioéticos. Se incluyen preguntas abiertas. Los resultados son expresados con frecuencias absolutas y porcentajes. RESULTADOS: Sociodemográficos: La tasa de respuesta fue del 62,9%. 90,9% eran mujeres, con franja de edad mayoritaria entre 31-40 (45%) y ejercicio profesional entre 6-15 años (50%). Formación: 61,4% de profesionales manifiestan tener formación en bioética; el 66,6% la han recibido a través de cursos de formación. Un 83,6% de los encuestados manifiesta la necesidad de formación en temas como: resolución de conflictos, manejo del paciente al final de la vida, herramientas para la toma de decisiones, confidencialidad e intimidad en la relación profesional. Conocimientos: La carta de derechos y deberes de los usuarios es conocida por el 25% y el 22,7% conoce el contenido de la Ley 41/2002. El 75% creen que los pacientes desconocen sus obligaciones como usuarios y consideran que no conocen sus derechos el 40.9%. Percepción: el 50% manifiestan que en la documentación del paciente “nunca” hay constancia de su historia de valores; 40,9% consideran que “pocas veces” los pacientes toman decisiones en cuanto a su tratamiento de forma autónoma y 47,7% creen que se solicita “siempre” el consentimiento al paciente cuando va a ser sometido a pruebas diagnósticas o procedimientos invasivos. Contestaron preguntas abiertas 18 (40.9%). Manifiestan encontrar: dificultad en la transmisión de información ”delicada”situaciones de obstinación terapéutica en pacientes terminalesfalta de información de muchos pacientes de sus propios procesosdificultad en toma de decisionespacto de silencio de médicos y familiares ante pacientemal uso de documentación confidencialdudas ante prescripciones de sedación… CONCLUSIÓN/ DISCUSIÓN: Las enfermeras de hospitalización del HS tienen cierto grado de formación en aspectos bioéticos y expresan la necesidad de adquirir nuevas herramientas para solventar conflictos de valores que hasta ahora han manejado de manera casi intuitiva. Es preciso un plan formativo por parte de la institución en relación a normativa sanitaria y temas de confidencialidad, información y autonomía, con el fin de preservar derechos básicos de los usuarios.
DOI: 10.6084/m9.figshare.1480506.v3
title: 2013 Technology in Advising Use in Higher Education [SURVEY]

description: Title of Study: 2013 Technology in Advising Use in Higher Education Date: April 2013 Document: Survey Instrument; CC-BY license Purpose of the Study Participants were asked to participate in a research study to assess and evaluation how technology is being used for academic advising purposes in colleges and universities around the globe. The Global Community for Academic Advising (NACADA), specifically the NACADA Technology in Advising Commission and UNT co-sponsored research is designed to examine the current use and perception of technology for advising among professional/faculty advisors, advising administration, and others in higher education. Title of Study: 2013 Technology in Advising Use in Higher Education Date of research: March-April 2013 Type of Study: Online, survey; open and closed questions
DOI: 10.6084/m9.figshare.1480474
title: Gaussian Job Archive for C4H7(2)

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1480506.v6
title: 2013 Technology in Advising Use in Higher Education [SURVEY]

description: Title of Study: 2013 Technology in Advising Use in Higher Education Date: April 2013 Document: Survey Instrument; CC-BY license Purpose of the Study Participants were asked to participate in a research study to assess and evaluation how technology is being used for academic advising purposes in colleges and universities around the globe. The Global Community for Academic Advising (NACADA), specifically the NACADA Technology in Advising Commission and UNT co-sponsored research is designed to examine the current use and perception of technology for advising among professional/faculty advisors, advising administration, and others in higher education. Citation: Pasquini, L. A., Steele, G. E., & Cox. P. (2013). 2013 Technology in Advising Use in Higher Education Survey. <em>figshare</em>. http://dx.doi.org/10.6084/m9.figshare.1480506
DOI: 10.6084/m9.figshare.1480474.v1
title: Gaussian Job Archive for C4H7(2)

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1480476.v2
title: ¿TENEMOS LOS PROFESIONALES DE ENFERMERÍA CONOCIMIENTOS Y FORMACIÓN SOBRE ASPECTOS BIOÉTICOS

description: OBJETIVOS: Conocer el grado de conocimientos, nivel de formación y la percepción en aspectos bioéticos de los profesionales de enfermería. METODOLOGÍA: Estudio descriptivo transversal. Lugar: Hospital Sierrallana. Población diana: enfermeras de las 5 unidades de hospitalización (n=70). Datos obtenidos a través cuestionarios autocumplimentables con variables sociodemográficas y relacionadas con formación, conocimientos y percepción. Se aplica escala Likert (5 niveles de respuesta) a la percepción de algunos aspectos bioéticos. Se incluyen preguntas abiertas. Los resultados son expresados con frecuencias absolutas y porcentajes. RESULTADOS: Sociodemográficos: La tasa de respuesta fue del 62,9%. 90,9% eran mujeres, con franja de edad mayoritaria entre 31-40 (45%) y ejercicio profesional entre 6-15 años (50%). Formación: 61,4% de profesionales manifiestan tener formación en bioética; el 66,6% la han recibido a través de cursos de formación. Un 83,6% de los encuestados manifiesta la necesidad de formación en temas como: resolución de conflictos, manejo del paciente al final de la vida, herramientas para la toma de decisiones, confidencialidad e intimidad en la relación profesional. Conocimientos: La carta de derechos y deberes de los usuarios es conocida por el 25% y el 22,7% conoce el contenido de la Ley 41/2002. El 75% creen que los pacientes desconocen sus obligaciones como usuarios y consideran que no conocen sus derechos el 40.9%. Percepción: el 50% manifiestan que en la documentación del paciente “nunca” hay constancia de su historia de valores; 40,9% consideran que “pocas veces” los pacientes toman decisiones en cuanto a su tratamiento de forma autónoma y 47,7% creen que se solicita “siempre” el consentimiento al paciente cuando va a ser sometido a pruebas diagnósticas o procedimientos invasivos. Contestaron preguntas abiertas 18 (40.9%). Manifiestan encontrar: dificultad en la transmisión de información ”delicada”situaciones de obstinación terapéutica en pacientes terminalesfalta de información de muchos pacientes de sus propios procesosdificultad en toma de decisionespacto de silencio de médicos y familiares ante pacientemal uso de documentación confidencialdudas ante prescripciones de sedación… CONCLUSIÓN/ DISCUSIÓN: Las enfermeras de hospitalización del HS tienen cierto grado de formación en aspectos bioéticos y expresan la necesidad de adquirir nuevas herramientas para solventar conflictos de valores que hasta ahora han manejado de manera casi intuitiva. Es preciso un plan formativo por parte de la institución en relación a normativa sanitaria y temas de confidencialidad, información y autonomía, con el fin de preservar derechos básicos de los usuarios.
DOI: 10.6084/m9.figshare.1480506.v5
title: 2013 Technology in Advising Use in Higher Education [SURVEY]

description: Title of Study: 2013 Technology in Advising Use in Higher Education Date: April 2013 Document: Survey Instrument; CC-BY license Purpose of the Study Participants were asked to participate in a research study to assess and evaluation how technology is being used for academic advising purposes in colleges and universities around the globe. The Global Community for Academic Advising (NACADA), specifically the NACADA Technology in Advising Commission and UNT co-sponsored research is designed to examine the current use and perception of technology for advising among professional/faculty advisors, advising administration, and others in higher education. Citation: Pasquini, L. A., Steele, G. E., & Cox. P. (2013). 2013 Technology in Advising Use in Higher Education Survey. <em>figshare</em>. http://dx.doi.org/10.6084/m9.figshare.1480506
DOI: 10.6084/m9.figshare.1480463
title: Environmental Layers - MCP

description: Environmental layers used to create panther hunting habitat model in MaxEnt. Layers were created with ArcGIS and include: Cattle Density, Distance from Edge, Dominant Landcover, Forest Edge Density, Forest Patch Size, Improved Pasture Patch Size, Landcover, Percent Forest Cover. We constructed Minimum Convex Polygons around the panther nighttime GPS locations used in the model and created the environmental variables within this area. The model was then projected onto our area of interest, private lands within the primary, secondary, and dispersal zones of panther habitat in southwest Florida.
DOI: 10.6084/m9.figshare.1480464
title: Environmental Layers - Projection

description: Environmental layers used to create the Florida panther hunting habitat model using MaxEnt. The layers used to create the model covered the area of the minimum convex polygon that was derived from the panther GPS locations that were also included in the model. The layers in this dataset were used so that MaxEnt could project the model onto the area of interest - private lands within the primary, secondary, and dispersal zones of panther habitat in southwest Florida.
DOI: 10.6084/m9.figshare.1480473
title: Gaussian Job Archive for C4H7(2)

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1480473.v1
title: Gaussian Job Archive for C4H7(2)

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.