cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.1512834.v13
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.v14
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.v15
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.1512402
title: Appendix to A Phonological Reconstruction of Proto-Hlai

description: Appendix to A Phonological Reconstruction of Proto-Hlai
DOI: 10.6084/m9.figshare.1512384
title: Gaussian Job Archive for C30H36N4O6S

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1512385
title: Gaussian Job Archive for C30H36N4O6S

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1512384.v1
title: Gaussian Job Archive for C30H36N4O6S

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1512385.v1
title: Gaussian Job Archive for C30H36N4O6S

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1512834.v16
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.1512402.v1
title: Appendix to A Phonological Reconstruction of Proto-Hlai

description: Appendix to A Phonological Reconstruction of Proto-Hlai
DOI: 10.17632/5jxts4742j.1
title: Molecular architecture of the SARS-CoV-2 virus. Hangping et al

description: A representative raw tomogram (inverted density, lowpassed to 80 Å resolution) overlaid with the reconstruction of a SARS-CoV-2 virus. One of its RBD down S is fitted with PDB: 6XR8.
DOI: 10.6084/m9.figshare.1512355
title: Raw data: Are we modular lying cues detectors? The answer is “yes, sometimes”.

description: LABEL EXPLANATIONS FOR STUDY 1 and 2 OF MANUSCRIPT ENTITLED "Are we modular lying cues detectors? The answer is “yes, sometimes” BY ARMINJON ET AL
DOI: 10.6084/m9.figshare.1512834.v17
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.1512350
title: Tweets using #ESA100 hashtag

description: Tweets using the #ESA100 hashtag (most recent 10k tweets as of 9:00 PM 8/15/2015), for use in Twitter aggregate stats using code provided by Francois Michonneau. https://github.com/fmichonneau/evol2015-tweets/blob/gh-pages/index.Rmd
DOI: 10.6084/m9.figshare.1512355.v1
title: Raw data: Are we modular lying cues detectors? The answer is “yes, sometimes”.

description: LABEL EXPLANATIONS FOR STUDY 1 and 2 OF MANUSCRIPT ENTITLED "Are we modular lying cues detectors? The answer is “yes, sometimes” BY ARMINJON ET AL
DOI: 10.6084/m9.figshare.1512834.v18
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.1512346
title: Vitamin D deficiency and depressive symptomatology in psychiatric patients hospitalized with a current depressive episode: a factor analytic study

description: SPSS file with individual values for variables which were analyzed and published in PLoS One (revised mansucript currently under review).
DOI: 10.6084/m9.figshare.1512350.v1
title: Tweets using #ESA100 hashtag

description: Tweets using the #ESA100 hashtag (most recent 10k tweets as of 9:00 PM 8/15/2015), for use in Twitter aggregate stats using code provided by Francois Michonneau. https://github.com/fmichonneau/evol2015-tweets/blob/gh-pages/index.Rmd
DOI: 10.6084/m9.figshare.1512834.v19
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.v20
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.v21
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.v22
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.1512316
title: Pseudo-first-order phase transition for ultrahigh positive/negative electrocaloric effects in perovskite ferroelectrics

description: The electrocaloric effect of ferroelectric materials, which occurs significantly near the first-order paraelectric/ferroelectric transition (FOPFT) Curie temperature, has tremendous prospect in solid-state cooling devices. In the present work, thermodynamics analysis and phase field simulations were conducted to demonstrate the mechanical compression-induced two types of pseudo-first-order phase transition, which could occur at a temperature below the Curie temperature. Thus, in one material there may coexist ultrahigh positive and negative electrocaloric effects, which are associated with the two pseudo-first-order phase transitions and tunable by the magnitude of the compression. The mechanical compression-induced pseudo-first-order phase transition and the coexistence of positive and negative electrocaloric effects will facilitate the development of a novel technology to design and manufacture next generation of solid-state cooling devices.
DOI: 10.6084/m9.figshare.1512834.v23
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.1512316.v1
title: Pseudo-first-order phase transition for ultrahigh positive/negative electrocaloric effects in perovskite ferroelectrics

description: The electrocaloric effect of ferroelectric materials, which occurs significantly near the first-order paraelectric/ferroelectric transition (FOPFT) Curie temperature, has tremendous prospect in solid-state cooling devices. In the present work, thermodynamics analysis and phase field simulations were conducted to demonstrate the mechanical compression-induced two types of pseudo-first-order phase transition, which could occur at a temperature below the Curie temperature. Thus, in one material there may coexist ultrahigh positive and negative electrocaloric effects, which are associated with the two pseudo-first-order phase transitions and tunable by the magnitude of the compression. The mechanical compression-induced pseudo-first-order phase transition and the coexistence of positive and negative electrocaloric effects will facilitate the development of a novel technology to design and manufacture next generation of solid-state cooling devices.
DOI: 10.6084/m9.figshare.1512282
title: Forearm Bone Mineral Density of Normal Indian Population

description: Background and Objectives: Bone density measurements by dual-energy X-ray absorptiometry (DEXA) recognized now as a safe and accurate technique[1] is being done frequently. But the T- score and Z-score values are interpreted using the reference value of Asian population provided by the manufacturer and not of Indian population. This may lead to improper diagnosis of Osteoporosis in Indian population. In this context we compared the young reference values and age-related values of bone density of the normal Indian population with the reference value of Asian population provided by the manufacturer. Methods: Through DEXA normal healthy individuals who were prospective renal donors were scanned. Results & Conclusion: Bone Mineral Density (BMD) of distal radius and ulna, proximal radius and ulna, proximal radius of normal Indian female and BMD of proximal radius and ulna of male population are found to be less considering the reference value of Asian population provided by the manufacturer. Hence it may be inappropriate to use the reference value of Asian population provided by the manufacturer to calculate the T- score and Z-score in Indian population.
DOI: 10.6084/m9.figshare.1512306
title: Tringali & Bowman 2012

description: The data and R scripts used in Tringali & Bowman 2012. Plumage reflectance signals dominance in Florida Scrub-Jay, Aphelocoma coerulescens, juveniles. Animal Behaviour, 84, 1517-1522. http://www.sciencedirect.com/science/article/pii/S0003347212004277
DOI: 10.6084/m9.figshare.1512834.v24
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.1510993
title: StarPlus fMRI data_whole

description: This data was originally collected by Marcel Just and his colleagues in Carnegie Mellon University's CCBI.<br><br>The Experiment: <strong>Timing</strong>: The experiment consists of a set of trials, and the data is partitioned into trials. For some of these intervals, the subject simply rested, or gazed at a fixation point on the screen. For other trials, the subject was shown a picture and a sentence, and instructed to press a button to indicate whether the sentence correctly described the picture. For these trials, the sentence and picture were presented in sequence, with the picture presented first on half of the trials, and the sentence presented first on the other half of the trials. Forty such trials are available for each subject. The timing within each such trial is as follows: The first stimulus (sentence or picture) was presented at the begining of the trail (image=1). Four seconds later (image=9) the stimulus was removed, replaced by a blank screen. Four seconds later (image=17) the second stimulus was presented. This remained on the screen for four seconds, or until the subject pressed the mouse button, whichever came first. A rest period of 15 seconds (30 images) was added after the second stimulus was removed from the screen. Thus, each trial lasted a total of approximately 27 seconds (approximately 54 images). <strong>Imaging parameters:</strong> Images were collected every 500msec. Only a fraction of the brain of each subject was imaged. The data is marked up with 25-30 anatomically defined regions (called "Regions of Interest", or ROIs). <strong>Stimulus and behavioral data</strong>: A variety of information is available for all three data sets, including the exact sentences and pictures presented, and the subject response times. The Data:<br><br>The data consists of .mat files that can be directly loaded into Matlab version 7.
DOI: 10.6084/m9.figshare.1512282.v1
title: Forearm Bone Mineral Density of Normal Indian Population

description: Background and Objectives: Bone density measurements by dual-energy X-ray absorptiometry (DEXA) recognized now as a safe and accurate technique[1] is being done frequently. But the T- score and Z-score values are interpreted using the reference value of Asian population provided by the manufacturer and not of Indian population. This may lead to improper diagnosis of Osteoporosis in Indian population. In this context we compared the young reference values and age-related values of bone density of the normal Indian population with the reference value of Asian population provided by the manufacturer. Methods: Through DEXA normal healthy individuals who were prospective renal donors were scanned. Results & Conclusion: Bone Mineral Density (BMD) of distal radius and ulna, proximal radius and ulna, proximal radius of normal Indian female and BMD of proximal radius and ulna of male population are found to be less considering the reference value of Asian population provided by the manufacturer. Hence it may be inappropriate to use the reference value of Asian population provided by the manufacturer to calculate the T- score and Z-score in Indian population.