cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.1157154.v2
title: Vortex Ventilation in the Laboratory Environment

description: Assured containment at low airflow has long eluded the users of ventilated enclosures including chemical fume hoods used throughout industry. It is proposed that containment will be enhanced in a hood that has a particular interior shape that causes a natural vortex to occur. The sustained vortex improves the containment of contaminants within the enclosure at low airflow. This hypothesis was tested using the ASHRAE 110 tracer gas test. A known volume of tracer gas was emitted in the hood. A MIRAN SapphIRe infrared spectrometer was used to measure the concentration of tracer gas that escapes the enclosure. The design of the experiment included a written operating procedure, data collection plan, and statistical analysis of the data. A chemical fume hood of traditional design was tested. The hood interior was then reconstructed to enhance the development of a vortex inside the enclosure. The hood was retested using the same method to compare the performance of the traditional interior shape with the enhanced vortex shape. In every aspect, the vortex hood showed significant improvement over the traditional hood design. Use of the Hood Index characterizing the dilution of gas in an air stream as a logarithmic function indicates a causal relationship between containment and volumetric airflow through an enclosure. Use of the vortex effect for ventilated enclosures can provide better protection for the user and lower operating cost for the owner.[Supplementary materials are available for this article. Go to the publisher's online edition of <i>Journal of Occupational and Environmental Hygiene</i> for the following free supplemental resource: a data collection spreadsheet, data analysis, and data collection procedure.]
DOI: 10.6084/m9.figshare.1157087
title: Deep-brain electrical microstimulation is an effective tool to explore functional characteristics of somatosensory neurons in the rat brain

description: This folder contains the MATLAB scripts and data for analyses in the manuscript “Deep-brain electrical microstimulation is an effective tool to explore functional characteristics of somatosensory neurons in the rat brain”.
DOI: 10.6084/m9.figshare.1155456
title: milestone.2014.9

description: This archive holds zipped code supporting the September FCO milestone report by Huff, Greenberg, Fratoni, et al.
DOI: 10.6084/m9.figshare.1157087.v1
title: Deep-brain electrical microstimulation is an effective tool to explore functional characteristics of somatosensory neurons in the rat brain

description: This folder contains the MATLAB scripts and data for analyses in the manuscript “Deep-brain electrical microstimulation is an effective tool to explore functional characteristics of somatosensory neurons in the rat brain”.
DOI: 10.6084/m9.figshare.1155436
title: Skin Characteristics Dataset 2

description: This dataset is a part of the Skin Characteristics Dataset composed of 3 parts. The individual datasets include a unique subjectID for each sample, human subject demographics (age, gender, ethnicity), fingerprint image quality, fingerprint minutiae, and skin characteristics (temperature, moisture, oiliness, and elasticity). Each dataset is a separate set of data which includes some of the same individuals. NOTE: subjectIDs are unique to the dataset. Ex: subjectID 1 in Dataset 1 is not the same as subjectID in Dataset 2 or Dataset 3.
DOI: 10.6084/m9.figshare.1155456.v1
title: milestone.2014.9

description: This archive holds zipped code supporting the September FCO milestone report by Huff, Greenberg, Fratoni, et al.
DOI: 10.6084/m9.figshare.1155434
title: Skin Characteristics Dataset 1

description: This dataset is a part of the Skin Characteristics Dataset composed of 3 parts. The individual datasets include a unique subjectID for each sample, human subject demographics (age, gender, ethnicity), fingerprint image quality, fingerprint minutiae, and skin characteristics (temperature, moisture, oiliness, and elasticity). Each dataset is a separate set of data which includes some of the same individuals. NOTE: subjectIDs are unique to the dataset. Ex: subjectID 1 in Dataset 1 is not the same as subjectID in Dataset 2 or Dataset 3.
DOI: 10.6084/m9.figshare.1155435
title: Skin Characteristics Dataset 3

description: This dataset is a part of the Skin Characteristics Dataset composed of 3 parts. The individual datasets include a unique subjectID for each sample, human subject demographics (age, gender, ethnicity), fingerprint image quality, fingerprint minutiae, and skin characteristics (temperature, moisture, oiliness, and elasticity). Each dataset is a separate set of data which includes some of the same individuals. NOTE: subjectIDs are unique to the dataset. Ex: subjectID 1 in Dataset 1 is not the same as subjectID in Dataset 2 or Dataset 3.
DOI: 10.6084/m9.figshare.1155435.v1
title: Skin Characteristics Dataset 3

description: This dataset is a part of the Skin Characteristics Dataset composed of 3 parts. The individual datasets include a unique subjectID for each sample, human subject demographics (age, gender, ethnicity), fingerprint image quality, fingerprint minutiae, and skin characteristics (temperature, moisture, oiliness, and elasticity). Each dataset is a separate set of data which includes some of the same individuals. NOTE: subjectIDs are unique to the dataset. Ex: subjectID 1 in Dataset 1 is not the same as subjectID in Dataset 2 or Dataset 3.
DOI: 10.6084/m9.figshare.1155327
title: Materials for the paper "Research intent and participant consent in Facebook research"

description: This fileset contains the ethics forms and "PRISONER" policy used for our paper "Research intent and participant consent in Facebook research".
DOI: 10.6084/m9.figshare.1155406
title: "Kitchen's mosaic law"

description: This law is "Kitchen's mosaic law"<br>In order to exist, we must not be alone as only a human species.<br>There is something else observing everything on earth, and it is conscious.<br>We are not alone, because we quite literally cannot exist.<br>For Every superposition, there is a superposition.
DOI: 10.6084/m9.figshare.1155422.v1
title: poreFoam package

description: Direct two-phase flow simulation code, This code is based on the paper: A Q Raeini, M J Blunt, and B Bijeljic, “Modelling two-phase flow in porous media at the pore scale using the volume-of-fluid method,” Journal of Computational Physics 231 5653–5668 (2012) http://dx.doi.org/10.1016/j.jcp.2012.04.011 for other related publications see: http://www3.imperial.ac.uk/earthscienceandengineering/research/perm/porescalemodelling/publications
DOI: 10.6084/m9.figshare.1155325
title: 27 congreso nacional de medicina física y rehabilitación

description: Caos
DOI: 10.6084/m9.figshare.1155327.v1
title: Materials for the paper "Research intent and participant consent in Facebook research"

description: This fileset contains the ethics forms and "PRISONER" policy used for our paper "Research intent and participant consent in Facebook research".
DOI: 10.6084/m9.figshare.1155282
title: Data Tel-Nutri

description: Data base. Noguera et al. Biology letters
DOI: 10.6084/m9.figshare.1155282.v1
title: Data Tel-Nutri

description: Data base. Noguera et al. Biology letters
DOI: 10.6084/m9.figshare.1155325.v1
title: 27 congreso nacional de medicina física y rehabilitación

description: Caos
DOI: 10.6084/m9.figshare.1155406.v1
title: "Kitchen's mosaic law"

description: This law is "Kitchen's mosaic law"<br>In order to exist, we must not be alone as only a human species.<br>There is something else observing everything on earth, and it is conscious.<br>We are not alone, because we quite literally cannot exist.<br>For Every superposition, there is a superposition.
DOI: 10.6084/m9.figshare.1155223
title: Cost-effectiveness of HIV drug resistance testing to inform switching to second line antiretroviral therapy in low income settings. Program

description: Program to read sample data set.
DOI: 10.6084/m9.figshare.1155233
title: Computational modeling reveals that a combination of chemotaxis and differential adhesion leads to robust cell sorting during tissue patterning

description: Supplementary data
DOI: 10.6084/m9.figshare.1155233.v1
title: Computational modeling reveals that a combination of chemotaxis and differential adhesion leads to robust cell sorting during tissue patterning

description: Supplementary data
DOI: 10.6084/m9.figshare.1155406.v2
title: "Kitchen

description: This law is "Kitchen's mosaic law"<br>In order to exist, we must not be alone as only a human species.<br>There is something else observing everything on earth, and it is conscious.<br>We are not alone, because we quite literally cannot exist.<br>For Every superposition, there is a superposition.
DOI: 10.6084/m9.figshare.1155221
title: Cost-effectiveness of HIV drug resistance testing to inform switching to second line antiretroviral therapy in low income settings. Dataset of simulated outcomes.

description: Data set of simulated model outcomes.
DOI: 10.6084/m9.figshare.1155222
title: Computational modeling reveals that a combination of chemotaxis and differential adhesion leads to robust cell sorting during tissue patterning

description: Robust tissue patterning is crucial to many processes during development. The "French Flag" model of patterning, whereby naïve cells in a gradient of diffusible morphogen signal adopt different fates due to exposure to different amounts of morphogen concentration, has been the most widely proposed model for tissue patterning. However, recently, using time-lapse experiments, cell sorting has been found to be an alternative model for tissue patterning in the zebrafish neural tube. But it remains unclear what the sorting mechanism is. In this article, we used computational modeling to show that two mechanisms, chemotaxis and differential adhesion, are needed for robust cell sorting. We assessed the performance of each of the two mechanisms by quantifying the fraction of correct sorting, the fraction of stable clusters formed after correct sorting, the time needed to achieve correct sorting, and the size variations of the cells having different fates. We found that chemotaxis and differential adhesion confer different advantages to the sorting process. Chemotaxis leads to high fraction of correct sorting as individual cells will either migrate towards or away from the source depending on its cell type. However after the cells have sorted correctly, there is no interaction among cells of the same type to stabilize the sorted boundaries, leading to cell clusters that are unstable. On the other hand, differential adhesion results in low fraction of correct clusters that are more stable. In the absence of morphogen gradient noise, a combination of both chemotaxis and differential adhesion yields cell sorting that is both accurate and robust. However, in the presence of gradient noise, the simple combination of chemotaxis and differential adhesion is insufficient for cell sorting; instead, chemotaxis coupled with delayed differential adhesion is required to yield optimal sorting.
DOI: 10.6084/m9.figshare.1155221.v1
title: Cost-effectiveness of HIV drug resistance testing to inform switching to second line antiretroviral therapy in low income settings. Dataset of simulated outcomes.

description: Data set of simulated model outcomes.
DOI: 10.6084/m9.figshare.1155222.v2
title: Computational modeling reveals that a combination of chemotaxis and differential adhesion leads to robust cell sorting during tissue patterning

description: Robust tissue patterning is crucial to many processes during development. The "French Flag" model of patterning, whereby naïve cells in a gradient of diffusible morphogen signal adopt different fates due to exposure to different amounts of morphogen concentration, has been the most widely proposed model for tissue patterning. However, recently, using time-lapse experiments, cell sorting has been found to be an alternative model for tissue patterning in the zebrafish neural tube. But it remains unclear what the sorting mechanism is. In this article, we used computational modeling to show that two mechanisms, chemotaxis and differential adhesion, are needed for robust cell sorting. We assessed the performance of each of the two mechanisms by quantifying the fraction of correct sorting, the fraction of stable clusters formed after correct sorting, the time needed to achieve correct sorting, and the size variations of the cells having different fates. We found that chemotaxis and differential adhesion confer different advantages to the sorting process. Chemotaxis leads to high fraction of correct sorting as individual cells will either migrate towards or away from the source depending on its cell type. However after the cells have sorted correctly, there is no interaction among cells of the same type to stabilize the sorted boundaries, leading to cell clusters that are unstable. On the other hand, differential adhesion results in low fraction of correct clusters that are more stable. In the absence of morphogen gradient noise, a combination of both chemotaxis and differential adhesion yields cell sorting that is both accurate and robust. However, in the presence of gradient noise, the simple combination of chemotaxis and differential adhesion is insufficient for cell sorting; instead, chemotaxis coupled with delayed differential adhesion is required to yield optimal sorting.
DOI: 10.6084/m9.figshare.1155222.v1
title: Computational modeling reveals that a combination of chemotaxis and differential adhesion leads to robust cell sorting during tissue patterning

description: Robust tissue patterning is crucial to many processes during development. The "French Flag" model of patterning, whereby naïve cells in a gradient of diffusible morphogen signal adopt different fates due to exposure to different amounts of morphogen concentration, has been the most widely proposed model for tissue patterning. However, recently, using time-lapse experiments, cell sorting has been found to be an alternative model for tissue patterning in the zebrafish neural tube. But it remains unclear what the sorting mechanism is. In this article, we used computational modeling to show that two mechanisms, chemotaxis and differential adhesion, are needed for robust cell sorting. We assessed the performance of each of the two mechanisms by quantifying the fraction of correct sorting, the fraction of stable clusters formed after correct sorting, the time needed to achieve correct sorting, and the size variations of the cells having different fates. We found that chemotaxis and differential adhesion confer different advantages to the sorting process. Chemotaxis leads to high fraction of correct sorting as individual cells will either migrate towards or away from the source depending on its cell type. However after the cells have sorted correctly, there is no interaction among cells of the same type to stabilize the sorted boundaries, leading to cell clusters that are unstable. On the other hand, differential adhesion results in low fraction of correct clusters that are more stable. In the absence of morphogen gradient noise, a combination of both chemotaxis and differential adhesion yields cell sorting that is both accurate and robust. However, in the presence of gradient noise, the simple combination of chemotaxis and differential adhesion is insufficient for cell sorting; instead, chemotaxis coupled with delayed differential adhesion is required to yield optimal sorting.
DOI: 10.6084/m9.figshare.1154951
title: Programa de adicciones y farmacodependencia. Facultad de Salud. Universidad del Valle, Cali, Colombia.

description: <strong>Programa de adicciones y farmacodependencia. Facultad de Salud. Universidad del Valle, Cali, Colombia.</strong> Materia electiva para programas de salud. <strong>Objetivos: </strong> Comprender la evidencia farmacológica relacionada con sustancias de abuso en todos los niveles de complejidad (receptor, célula, tejido, ser humano y sociedad). - Lectura critica de artículos de acuerdo a los intereses individuales de los estudiantes. - Busqueda y análisis de la evidencia: responsabilidad del profesor, invitación a quienes quieran participar en el proceso (no es obligatorio). <em>- Construcción de un programa actualizado con la colaboración de los estudiantes y retroalimentación de los contenidos de este curso.* </em> <strong>- Este archivo será actualizado continuamente.</strong> <em>- La sesión de comentarios esta abierta pero para participar deben crear una cuenta en figshare (es gratuito y bastante util, se los recomiendo como algo que les servira quizá toda la vida).</em> <strong>Contenidos</strong> <strong>1. Charla hotel intercontinental (10:00 AM - 10:30 AM).</strong> 1.1. Teoría del Caos y Medicina Basada en la Evidencia 1.2. Generalidades de adicciones (sesión aparte con ustedes en el Hotel Inter 10:30 AM - 12:00AM). Diapositivas disponibles en este archivo de figshare (adicción - generalidades.pdf) ___________________ * Este archivo es citable: Ramirez, Jorge H (2014): Programa de adicciones y farmacodependencia. Facultad de Salud. Universidad del Valle, Cali, Colombia.. figshare.<br>http://dx.doi.org/10.6084/m9.figshare.1154951 Retrieved 03:40, Aug 29, 2014 (GMT) - Se puede atribuir una licencia de CC - Incorpora medición de "impacto" por otros métodos más actualizados y modernos que ISI Web of Knowledge. Ejemplo en el 1er enlace (link) abajo. - Ustedes individualmente pueden cumplir criterios de autoría si existe contribución que lo justifique.
DOI: 10.6084/m9.figshare.1155154
title: Glioma: Application of Whole-tumor Texture Analysis of Diffusion-weighted Imaging for the Evaluation of Tumor Heterogeneity

description: raw data
DOI: 10.6084/m9.figshare.1155154.v1
title: Glioma: Application of Whole-tumor Texture Analysis of Diffusion-weighted Imaging for the Evaluation of Tumor Heterogeneity

description: raw data
DOI: 10.6084/m9.figshare.1154010
title: Expression profiling of brain structures of dependent and non-dependent rats self-administering alcohol and naive controls (Cleaner Normalized)

description: Cleaner-normalized expression profile obtained from 8 brain regions believed to be relevant in alcohol’s reinforcing properties using the Affymetrix RN230.2 platform. Specifically, the following brain regions were microdissected and analyzed from nondependent and dependent alcohol self-administering rats as well as age-matched alcohol naive rats: (a) medial prefrontal cortex (MPF), (b) shell and (c) core NAc sub-regions, (d) central nucleus (CeA) and (e) basolateral nucleus of the amygdala (BLA), (f) dorsolateral and (g) ventral bed nucleus of the stria terminalis (BNST), and (h) ventral tegmental area (VTA).
DOI: 10.6084/m9.figshare.1154951.v1
title: Programa de adicciones y farmacodependencia. Facultad de Salud. Universidad del Valle, Cali, Colombia.

description: <strong>Programa de adicciones y farmacodependencia. Facultad de Salud. Universidad del Valle, Cali, Colombia.</strong> Materia electiva para programas de salud. <strong>Objetivos: </strong> Comprender la evidencia farmacológica relacionada con sustancias de abuso en todos los niveles de complejidad (receptor, célula, tejido, ser humano y sociedad). - Lectura critica de artículos de acuerdo a los intereses individuales de los estudiantes. - Busqueda y análisis de la evidencia: responsabilidad del profesor, invitación a quienes quieran participar en el proceso (no es obligatorio). <em>- Construcción de un programa actualizado con la colaboración de los estudiantes y retroalimentación de los contenidos de este curso.* </em> <strong>- Este archivo será actualizado continuamente.</strong> <em>- La sesión de comentarios esta abierta pero para participar deben crear una cuenta en figshare (es gratuito y bastante util, se los recomiendo como algo que les servira quizá toda la vida).</em> <strong>Contenidos</strong> <strong>1. Charla hotel intercontinental (10:00 AM - 10:30 AM).</strong> 1.1. Teoría del Caos y Medicina Basada en la Evidencia 1.2. Generalidades de adicciones (sesión aparte con ustedes en el Hotel Inter 10:30 AM - 12:00AM). Diapositivas disponibles en este archivo de figshare (adicción - generalidades.pdf) ___________________ * Este archivo es citable: Ramirez, Jorge H (2014): Programa de adicciones y farmacodependencia. Facultad de Salud. Universidad del Valle, Cali, Colombia.. figshare.<br>http://dx.doi.org/10.6084/m9.figshare.1154951 Retrieved 03:40, Aug 29, 2014 (GMT) - Se puede atribuir una licencia de CC - Incorpora medición de "impacto" por otros métodos más actualizados y modernos que ISI Web of Knowledge. Ejemplo en el 1er enlace (link) abajo. - Ustedes individualmente pueden cumplir criterios de autoría si existe contribución que lo justifique.
DOI: 10.6084/m9.figshare.1154010.v2
title: Expression profiling of brain structures of dependent and non-dependent rats self-administering alcohol and naive controls (Cleaner Normalized)

description: Cleaner-normalized expression profile obtained from 8 brain regions believed to be relevant in alcohol’s reinforcing properties using the Affymetrix RN230.2 platform. Specifically, the following brain regions were microdissected and analyzed from nondependent and dependent alcohol self-administering rats as well as age-matched alcohol naive rats: (a) medial prefrontal cortex (MPF), (b) shell and (c) core NAc sub-regions, (d) central nucleus (CeA) and (e) basolateral nucleus of the amygdala (BLA), (f) dorsolateral and (g) ventral bed nucleus of the stria terminalis (BNST), and (h) ventral tegmental area (VTA).
DOI: 10.6084/m9.figshare.1154010.v1
title: Expression profiling of brain structures of dependent and non-dependent rats self-administering alcohol and naive controls (Cleaner Normalized)

description: Cleaner-normalized expression profile obtained from 8 brain regions believed to be relevant in alcohol’s reinforcing properties using the Affymetrix RN230.2 platform. Specifically, the following brain regions were microdissected and analyzed from nondependent and dependent alcohol self-administering rats as well as age-matched alcohol naive rats: (a) medial prefrontal cortex (MPF), (b) shell and (c) core NAc sub-regions, (d) central nucleus (CeA) and (e) basolateral nucleus of the amygdala (BLA), (f) dorsolateral and (g) ventral bed nucleus of the stria terminalis (BNST), and (h) ventral tegmental area (VTA).
DOI: 10.6084/m9.figshare.1154006
title: Rat CNS Interactome (Signalling Molecules)

description: To construct the CNS Signaling Molecule Interactome, ARACNe was applied to the Cleaner-normalized expression profile obtained from 8 brain regions believed to be relevant in alcohol’s reinforcing properties using the Affymetrix RN230.2 platform. Specifically, the following brain regions were microdissected and analyzed from nondependent and dependent alcohol self-administering rats as well as age-matched alcohol naive rats: (a) medial prefrontal cortex (MPF), (b) shell and (c) core NAc sub-regions, (d) central nucleus (CeA) and (e) basolateral nucleus of the amygdala (BLA), (f) dorsolateral and (g) ventral bed nucleus of the stria terminalis (BNST), and (h) ventral tegmental area (VTA). Signaling Molecules (Sigs), were defined as rat genes annotated in the GO Biological Process database as: ‘signal transduction’ and in the GO Cellular Component database as GO:0005622 – ‘intracellular’ or GO:0005886 – ‘plasma membrane’. This produced a final list of 2,842 genes from which 1,101 were present on the Cleaner-mapped expression profile. ARACNe was run using the adaptive partitioning algorithm, which selects the optimal kernel width for calculating the MI threshold of a specified p-value. The MI threshold used by the adaptive partitioning algorithm (MI ≥ 0.43795) corresponded to the p-value threshold of 10-8 after 100 bootstrap runs, and the resulting CNS signaling molecule interactome contained 154,785 statistically significant MIs between 7,018 genes.