cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.1512834.v143
title: Localized Protein Quantification of Blood Brain Barrier Vasculature in Brightfield IHC Images

description: In this paper, we present an objective method for locally quantifying proteins in blood brain barrier (BBB) vasculature using standard immunohistochemistry (IHC) techniques and bright-field microscopy. Images from the hippocampal region at the BBB are acquired using bright-field microscopy and subjected to our immunohistochemistry quantification (IQ) algorithm which is designed to automatically identify and segment microvessels containing the protein glucose transporter 1 (GLUT1). Gabor filtering and k-means clustering are employed to isolate potential vascular structures within cryopsectioned slabs of the hippocampus, which are subsequently subjected to feature extraction followed by classification via decision forest. The false positive rate (FPR) of microvessel classification is characterized using synthetic and non-synthetic IHC image data for image entropies ranging between 3 and 8 bits. The average FPR for synthetic and non-synthetic IHC image data was found to be 5.48% and 5.04%, respectively.
DOI: 10.6084/m9.figshare.1505124
title: Effect of dislocation walls on the polarization switching of a ferroelectric single crystal

description: Phase field simulations were conducted to study the influence of dislocation walls on the domain configuration and polarization switching behavior of a ferroelectric single crystal. The simulation results show that the domain configuration and polarization switching behavior depend highly on thedislocation spacing in the dislocation wall. The ferroelectric properties can be greatly improved by reducing the coercive field and meanwhile enhancing the remanent polarization if an appropriate density of dislocations is introduced at high temperature. The phase field simulations also put insights into the mechanism of polarization switching.
DOI: 10.6084/m9.figshare.1505124.v1
title: Effect of dislocation walls on the polarization switching of a ferroelectric single crystal

description: Phase field simulations were conducted to study the influence of dislocation walls on the domain configuration and polarization switching behavior of a ferroelectric single crystal. The simulation results show that the domain configuration and polarization switching behavior depend highly on thedislocation spacing in the dislocation wall. The ferroelectric properties can be greatly improved by reducing the coercive field and meanwhile enhancing the remanent polarization if an appropriate density of dislocations is introduced at high temperature. The phase field simulations also put insights into the mechanism of polarization switching.
DOI: 10.6084/m9.figshare.1512834.v144
title: Localized Protein Quantification of Blood Brain Barrier Vasculature in Brightfield IHC Images

description: In this paper, we present an objective method for locally quantifying proteins in blood brain barrier (BBB) vasculature using standard immunohistochemistry (IHC) techniques and bright-field microscopy. Images from the hippocampal region at the BBB are acquired using bright-field microscopy and subjected to our immunohistochemistry quantification (IQ) algorithm which is designed to automatically identify and segment microvessels containing the protein glucose transporter 1 (GLUT1). Gabor filtering and k-means clustering are employed to isolate potential vascular structures within cryopsectioned slabs of the hippocampus, which are subsequently subjected to feature extraction followed by classification via decision forest. The false positive rate (FPR) of microvessel classification is characterized using synthetic and non-synthetic IHC image data for image entropies ranging between 3 and 8 bits. The average FPR for synthetic and non-synthetic IHC image data was found to be 5.48% and 5.04%, respectively.
DOI: 10.6084/m9.figshare.1505119
title: A novel mechanism to reduce coercive field of ferroelectric materials via {1 1 1} twin engineering

description: In the present work, we proposed a new strategy to increase the domain variants within the entire body of ferroelectrics, based on crystal twin engineering that increases the number of ferroelectric variants within each twinned grain, and demonstrated this strategy with polycrystalline barium titanate films. A novel thermomechanical treatment technique was developed to introduce {1 1 1} nanotwins into the films with different twin densities. The experimental results show that the coercive field is 32% lower in the high twin density samples than that in the low twin density ones. The conducted phase field simulations qualitatively confirmed the experimental results. Furthermore, the magnitude of the apparent saturation polarization is 72% higher in the high twin density samples than that in the low twin density samples. Twin engineering might be applied universally to all ferroelectric ceramics and films to substantially enhance their performance.
DOI: 10.6084/m9.figshare.1505119.v1
title: A novel mechanism to reduce coercive field of ferroelectric materials via {1 1 1} twin engineering

description: In the present work, we proposed a new strategy to increase the domain variants within the entire body of ferroelectrics, based on crystal twin engineering that increases the number of ferroelectric variants within each twinned grain, and demonstrated this strategy with polycrystalline barium titanate films. A novel thermomechanical treatment technique was developed to introduce {1 1 1} nanotwins into the films with different twin densities. The experimental results show that the coercive field is 32% lower in the high twin density samples than that in the low twin density ones. The conducted phase field simulations qualitatively confirmed the experimental results. Furthermore, the magnitude of the apparent saturation polarization is 72% higher in the high twin density samples than that in the low twin density samples. Twin engineering might be applied universally to all ferroelectric ceramics and films to substantially enhance their performance.
DOI: 10.6084/m9.figshare.1512834.v145
title: Localized Protein Quantification of Blood Brain Barrier Vasculature in Brightfield IHC Images

description: In this paper, we present an objective method for locally quantifying proteins in blood brain barrier (BBB) vasculature using standard immunohistochemistry (IHC) techniques and bright-field microscopy. Images from the hippocampal region at the BBB are acquired using bright-field microscopy and subjected to our immunohistochemistry quantification (IQ) algorithm which is designed to automatically identify and segment microvessels containing the protein glucose transporter 1 (GLUT1). Gabor filtering and k-means clustering are employed to isolate potential vascular structures within cryopsectioned slabs of the hippocampus, which are subsequently subjected to feature extraction followed by classification via decision forest. The false positive rate (FPR) of microvessel classification is characterized using synthetic and non-synthetic IHC image data for image entropies ranging between 3 and 8 bits. The average FPR for synthetic and non-synthetic IHC image data was found to be 5.48% and 5.04%, respectively.
DOI: 10.6084/m9.figshare.1512834.v146
title: Localized Protein Quantification of Blood Brain Barrier Vasculature in Brightfield IHC Images

description: In this paper, we present an objective method for locally quantifying proteins in blood brain barrier (BBB) vasculature using standard immunohistochemistry (IHC) techniques and bright-field microscopy. Images from the hippocampal region at the BBB are acquired using bright-field microscopy and subjected to our immunohistochemistry quantification (IQ) algorithm which is designed to automatically identify and segment microvessels containing the protein glucose transporter 1 (GLUT1). Gabor filtering and k-means clustering are employed to isolate potential vascular structures within cryopsectioned slabs of the hippocampus, which are subsequently subjected to feature extraction followed by classification via decision forest. The false positive rate (FPR) of microvessel classification is characterized using synthetic and non-synthetic IHC image data for image entropies ranging between 3 and 8 bits. The average FPR for synthetic and non-synthetic IHC image data was found to be 5.48% and 5.04%, respectively.
DOI: 10.6084/m9.figshare.1505111
title: Micro-/macro-responses of a ferroelectric single crystal with domain pinning and depinning by dislocations

description: Phase field simulations are conducted to investigate the micro-structural signature and the macro-response of a ferroelectric single crystal with domain pinning and depinning phenomena bydislocation arrays. It is shown that due to the presence of the dislocation arrays, a domain withpolarizations antiparallel to an applied field can survive under the small amplitude of applied field. The residual domain serves as a pre-existing nucleus during the following macroscopic switching via only domain wall motion. The pinned domain will be depinned when the external electric fieldamplitude exceeds a critical value, which highly depends on the dislocation spacing in the dislocationarray. Due to the pinning and depinning effect, an asymmetric hysteresis loop of polarization versuselectric field might appear when a bias field is applied.
DOI: 10.6084/m9.figshare.1505111.v1
title: Micro-/macro-responses of a ferroelectric single crystal with domain pinning and depinning by dislocations

description: Phase field simulations are conducted to investigate the micro-structural signature and the macro-response of a ferroelectric single crystal with domain pinning and depinning phenomena bydislocation arrays. It is shown that due to the presence of the dislocation arrays, a domain withpolarizations antiparallel to an applied field can survive under the small amplitude of applied field. The residual domain serves as a pre-existing nucleus during the following macroscopic switching via only domain wall motion. The pinned domain will be depinned when the external electric fieldamplitude exceeds a critical value, which highly depends on the dislocation spacing in the dislocationarray. Due to the pinning and depinning effect, an asymmetric hysteresis loop of polarization versuselectric field might appear when a bias field is applied.
DOI: 10.6084/m9.figshare.1512834.v147
title: Localized Protein Quantification of Blood Brain Barrier Vasculature in Brightfield IHC Images

description: In this paper, we present an objective method for locally quantifying proteins in blood brain barrier (BBB) vasculature using standard immunohistochemistry (IHC) techniques and bright-field microscopy. Images from the hippocampal region at the BBB are acquired using bright-field microscopy and subjected to our immunohistochemistry quantification (IQ) algorithm which is designed to automatically identify and segment microvessels containing the protein glucose transporter 1 (GLUT1). Gabor filtering and k-means clustering are employed to isolate potential vascular structures within cryopsectioned slabs of the hippocampus, which are subsequently subjected to feature extraction followed by classification via decision forest. The false positive rate (FPR) of microvessel classification is characterized using synthetic and non-synthetic IHC image data for image entropies ranging between 3 and 8 bits. The average FPR for synthetic and non-synthetic IHC image data was found to be 5.48% and 5.04%, respectively.
DOI: 10.6084/m9.figshare.1512834.v148
title: Localized Protein Quantification of Blood Brain Barrier Vasculature in Brightfield IHC Images

description: In this paper, we present an objective method for locally quantifying proteins in blood brain barrier (BBB) vasculature using standard immunohistochemistry (IHC) techniques and bright-field microscopy. Images from the hippocampal region at the BBB are acquired using bright-field microscopy and subjected to our immunohistochemistry quantification (IQ) algorithm which is designed to automatically identify and segment microvessels containing the protein glucose transporter 1 (GLUT1). Gabor filtering and k-means clustering are employed to isolate potential vascular structures within cryopsectioned slabs of the hippocampus, which are subsequently subjected to feature extraction followed by classification via decision forest. The false positive rate (FPR) of microvessel classification is characterized using synthetic and non-synthetic IHC image data for image entropies ranging between 3 and 8 bits. The average FPR for synthetic and non-synthetic IHC image data was found to be 5.48% and 5.04%, respectively.
DOI: 10.6084/m9.figshare.1505097
title: Controlling CRISPR Cas9 Gene Editing with Light

description: For a long time, scientists have been trying to manipulate genes. Recently, University of Pittsburgh in USA Alexander Deiters finds a way to control this process with higher accuracy . Light is what he uses. Deiters and his team for the first time achieve the technology breakthrough. they publish study results on the Journal of Chemistry "Journal of the American Chemical Society"recently.
DOI: 10.6084/m9.figshare.1505097.v1
title: Controlling CRISPR Cas9 Gene Editing with Light

description: For a long time, scientists have been trying to manipulate genes. Recently, University of Pittsburgh in USA Alexander Deiters finds a way to control this process with higher accuracy . Light is what he uses. Deiters and his team for the first time achieve the technology breakthrough. they publish study results on the Journal of Chemistry "Journal of the American Chemical Society"recently.
DOI: 10.6084/m9.figshare.1512834.v149
title: Localized Protein Quantification of Blood Brain Barrier Vasculature in Brightfield IHC Images

description: In this paper, we present an objective method for locally quantifying proteins in blood brain barrier (BBB) vasculature using standard immunohistochemistry (IHC) techniques and bright-field microscopy. Images from the hippocampal region at the BBB are acquired using bright-field microscopy and subjected to our immunohistochemistry quantification (IQ) algorithm which is designed to automatically identify and segment microvessels containing the protein glucose transporter 1 (GLUT1). Gabor filtering and k-means clustering are employed to isolate potential vascular structures within cryopsectioned slabs of the hippocampus, which are subsequently subjected to feature extraction followed by classification via decision forest. The false positive rate (FPR) of microvessel classification is characterized using synthetic and non-synthetic IHC image data for image entropies ranging between 3 and 8 bits. The average FPR for synthetic and non-synthetic IHC image data was found to be 5.48% and 5.04%, respectively.
DOI: 10.6084/m9.figshare.1504124
title: Number of academic versus industry-sponsored cell therapy trials, listed in databases

description: This graph demonstrates the trend in cell therapy clinical trials, listed in international databases. <strong>Methodology</strong> described here: http://celltrials.info/2015/01/22/2014-report/ <strong>Legend</strong>: X axis: years, since 2011 Y axis: Number of "trials" <strong>newly</strong> listed in international registeries. It is not cumulative number - only listings, appeared between January 1 of particular year and January 1 of the next year. <strong>Definitions</strong>: "Industry" is a generic term, used to describe all "commercial" studies, listed in databases as (1) sponsored by a company or (2) private clinic or (3) involved company as collaborator, which manufactured/ prepared therapeutic cellular product. "Academia" is a generic term, used to describe all other types of sponsorship, different from "industry"/ commercial.
DOI: 10.6084/m9.figshare.1512834.v150
title: Localized Protein Quantification of Blood Brain Barrier Vasculature in Brightfield IHC Images

description: In this paper, we present an objective method for locally quantifying proteins in blood brain barrier (BBB) vasculature using standard immunohistochemistry (IHC) techniques and bright-field microscopy. Images from the hippocampal region at the BBB are acquired using bright-field microscopy and subjected to our immunohistochemistry quantification (IQ) algorithm which is designed to automatically identify and segment microvessels containing the protein glucose transporter 1 (GLUT1). Gabor filtering and k-means clustering are employed to isolate potential vascular structures within cryopsectioned slabs of the hippocampus, which are subsequently subjected to feature extraction followed by classification via decision forest. The false positive rate (FPR) of microvessel classification is characterized using synthetic and non-synthetic IHC image data for image entropies ranging between 3 and 8 bits. The average FPR for synthetic and non-synthetic IHC image data was found to be 5.48% and 5.04%, respectively.
DOI: 10.6084/m9.figshare.1504123
title: VSMCs fileset

description: open data for article VSMCs
DOI: 10.6084/m9.figshare.1512834.v151
title: Localized Protein Quantification of Blood Brain Barrier Vasculature in Brightfield IHC Images

description: In this paper, we present an objective method for locally quantifying proteins in blood brain barrier (BBB) vasculature using standard immunohistochemistry (IHC) techniques and bright-field microscopy. Images from the hippocampal region at the BBB are acquired using bright-field microscopy and subjected to our immunohistochemistry quantification (IQ) algorithm which is designed to automatically identify and segment microvessels containing the protein glucose transporter 1 (GLUT1). Gabor filtering and k-means clustering are employed to isolate potential vascular structures within cryopsectioned slabs of the hippocampus, which are subsequently subjected to feature extraction followed by classification via decision forest. The false positive rate (FPR) of microvessel classification is characterized using synthetic and non-synthetic IHC image data for image entropies ranging between 3 and 8 bits. The average FPR for synthetic and non-synthetic IHC image data was found to be 5.48% and 5.04%, respectively.
DOI: 10.6084/m9.figshare.1504122
title: VSMCs cell image example

description: cell image with contour of boundary
DOI: 10.6084/m9.figshare.1512834.v152
title: Localized Protein Quantification of Blood Brain Barrier Vasculature in Brightfield IHC Images

description: In this paper, we present an objective method for locally quantifying proteins in blood brain barrier (BBB) vasculature using standard immunohistochemistry (IHC) techniques and bright-field microscopy. Images from the hippocampal region at the BBB are acquired using bright-field microscopy and subjected to our immunohistochemistry quantification (IQ) algorithm which is designed to automatically identify and segment microvessels containing the protein glucose transporter 1 (GLUT1). Gabor filtering and k-means clustering are employed to isolate potential vascular structures within cryopsectioned slabs of the hippocampus, which are subsequently subjected to feature extraction followed by classification via decision forest. The false positive rate (FPR) of microvessel classification is characterized using synthetic and non-synthetic IHC image data for image entropies ranging between 3 and 8 bits. The average FPR for synthetic and non-synthetic IHC image data was found to be 5.48% and 5.04%, respectively.
DOI: 10.6084/m9.figshare.1504121
title: Dimensions of Cell

description: matlab result of measurement of VSMCs, orientation is originally from matlab, should be converted into anlge defined in the article
DOI: 10.6084/m9.figshare.1504123.v2
title: VSMCs fileset

description: open data for article VSMCs
DOI: 10.6084/m9.figshare.1504124.v4
title: Number of academic versus industry-sponsored cell therapy trials, listed in databases

description: This graph demonstrates the trend in cell therapy clinical trials, listed in international databases. <strong>Methodology</strong> described here: http://celltrials.info/2015/01/22/2014-report/ <strong>Legend</strong>: X axis: years, since 2011 Y axis: Number of "trials" <strong>newly</strong> listed in international registeries. It is not cumulative number - only listings, appeared between January 1 of particular year and January 1 of the next year. <strong>Definitions</strong>: "Industry" is a generic term, used to describe all "commercial" studies, listed in databases as (1) sponsored by a company or (2) private clinic or (3) involved company as collaborator, which manufactured/ prepared therapeutic cellular product. "Academia" is a generic term, used to describe all other types of sponsorship, different from "industry"/ commercial.
DOI: 10.6084/m9.figshare.1504122.v1
title: VSMCs cell image example

description: cell image with contour of boundary
DOI: 10.6084/m9.figshare.1504124.v3
title: Number of academic versus industry-sponsored cell therapy trials, listed in databases

description: This graph demonstrates the trend in cell therapy clinical trials, listed in international databases. <strong>Methodology</strong> described here: http://celltrials.info/2015/01/22/2014-report/ <strong>Legend</strong>: X axis: years, since 2011 Y axis: Number of "trials" <strong>newly</strong> listed in international registeries. It is not cumulative number - only listings, appeared between January 1 of particular year and January 1 of the next year. <strong>Definitions</strong>: "Industry" is a generic term, used to describe all "commercial" studies, listed in databases as (1) sponsored by a company or (2) private clinic or (3) involved company as collaborator, which manufactured/ prepared therapeutic cellular product. "Academia" is a generic term, used to describe all other types of sponsorship, different from "industry"/ commercial.
DOI: 10.6084/m9.figshare.1504121.v1
title: Dimensions of Cell

description: matlab result of measurement of VSMCs, orientation is originally from matlab, should be converted into anlge defined in the article
DOI: 10.6084/m9.figshare.1504123.v1
title: VSMCs fileset

description: open data for article VSMCs
DOI: 10.6084/m9.figshare.1512834.v153
title: Localized Protein Quantification of Blood Brain Barrier Vasculature in Brightfield IHC Images

description: In this paper, we present an objective method for locally quantifying proteins in blood brain barrier (BBB) vasculature using standard immunohistochemistry (IHC) techniques and bright-field microscopy. Images from the hippocampal region at the BBB are acquired using bright-field microscopy and subjected to our immunohistochemistry quantification (IQ) algorithm which is designed to automatically identify and segment microvessels containing the protein glucose transporter 1 (GLUT1). Gabor filtering and k-means clustering are employed to isolate potential vascular structures within cryopsectioned slabs of the hippocampus, which are subsequently subjected to feature extraction followed by classification via decision forest. The false positive rate (FPR) of microvessel classification is characterized using synthetic and non-synthetic IHC image data for image entropies ranging between 3 and 8 bits. The average FPR for synthetic and non-synthetic IHC image data was found to be 5.48% and 5.04%, respectively.
DOI: 10.6084/m9.figshare.1504117
title: MPG Ranch 16S amplicon data

description: 16S amplicon data from soil study at MPG Ranch. Dates in file names denote sequencing runs at Argonne National Lab. Files beginning with R1 are forward read files (raw fastq files) and files beginning with I1 are index sequences. Concatenate the R1 and I1 files with the same date (in alphabetical order) prior to demultiplexing. Mapping files with barcodes are also included (text files). Dates in mapping file correspond to dates in sequence files. Demultiplex each sequencing run (date) seperately. Full metadata mapping file for all samples is also included. Open reference OTU table (97% identity, singletons removed), taxonomy metadata file, OTU representative sequence fasta file, and phylogenetic tree file also included.