cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.1512834.v111
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.1506764
title: cloud2_seqs_aq

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506765.v1
title: cloud2_seqs_ao

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506768.v2
title: cloud2_seqs_as

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506762
title: cloud2_seqs_ap

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506764.v1
title: cloud2_seqs_aq

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1512834.v112
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.1506760
title: cloud2_seqs_an

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506768.v1
title: Human Microbial Cloud 2 Seqs as

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506762.v1
title: cloud2_seqs_ap

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1512834.v113
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.1506757
title: cloud2_seqs_ak

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506758
title: cloud2_seqs_am

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506759
title: cloud2_seqs_al

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506758.v1
title: cloud2_seqs_am

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506759.v1
title: cloud2_seqs_al

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506760.v1
title: cloud2_seqs_an

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506755
title: cloud2_seqs_aj

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1512834.v114
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.1506756
title: cloud2_seqs_ai

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506757.v1
title: cloud2_seqs_ak

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506755.v1
title: cloud2_seqs_aj

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506756.v1
title: cloud2_seqs_ai

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506752
title: cloud2_seqs_ah

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1512834.v115
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.1506753
title: cloud2_seqs_ag

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506751
title: cloud2_seqs_af

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506752.v1
title: cloud2_seqs_ah

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506753.v1
title: cloud2_seqs_ag

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506750
title: cloud2_seqs_ae

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506751.v1
title: cloud2_seqs_af

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506749
title: cloud2_seqs_ad

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506750.v1
title: cloud2_seqs_ae

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1512834.v116
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.1506747
title: cloud2_seqs_aa

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506746
title: cloud2_seqs_ab

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506754.v2
title: Near-Lucid Dreams and Related Phenomena: Humorous Commentaries on the Human Condition

description: There's something downright funny about near-lucid dreams, in which the dreamer begins to suspect this might be a dream but then realizes: "No, I'm definitely awake!" Tests we perform to investigate these suspicions may only confirm this mistaken belief. We may discuss dreams, theorize about them, or try to convince other people that they’re dreaming, without being aware that we’re having a dream. Even if we realize we’re dreaming, we may not understand that this means we’re lying in bed asleep. During false awakenings, we mistakenly believe: "I was asleep, but now I'm awake for sure." Such dreams parody our near-infinite capacity for self-deception, poke fun at our misplaced certainty and invite reflection upon the dream-like nature of waking reality. To be human is to seek wisdom, knowledge and certainty. We want to believe we're fully awake, conscious, enlightened; this time we've figured it out — whatever it is — and our new-found knowledge will save us from the suffering of life. I once was lost, but now I'm found<br>Was blind, but now I see In near-lucid dreams, the dreamer, certain that he or she has figured it all out, is in fact still lost, still blind.
DOI: 10.6084/m9.figshare.1506747.v1
title: cloud2_seqs_aa

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1512834.v117
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.1506745
title: cloud2_seqs_ac

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506746.v1
title: cloud2_seqs_ab

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506742
title: cloud2_barcodes_az

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506743
title: cloud2_barcodes_ba

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506744
title: cloud2_barcodes_bb

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506745.v1
title: cloud2_seqs_ac

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1512834.v118
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.1506743.v1
title: cloud2_barcodes_ba

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506740
title: cloud2_barcodes_ay

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506741
title: cloud2_barcodes_ax

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506742.v1
title: cloud2_barcodes_az

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506744.v1
title: cloud2_barcodes_bb

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506739
title: cloud2_barcodes_aw

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506740.v1
title: cloud2_barcodes_ay

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506738
title: cloud2_barcodes_av

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506739.v1
title: cloud2_barcodes_aw

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506741.v1
title: cloud2_barcodes_ax

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1512834.v119
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.1506736
title: cloud2_barcodes_au

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506737
title: cloud2_barcodes_at

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506738.v1
title: cloud2_barcodes_av

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506735
title: cloud2_barcodes_ar

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506736.v1
title: cloud2_barcodes_au

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506734
title: cloud2_barcodes_as

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506737.v1
title: cloud2_barcodes_at

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1512834.v120
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.1506732
title: cloud2_barcodes_ap

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506733
title: cloud2_barcodes_aq

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506735.v1
title: cloud2_barcodes_ar

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506732.v1
title: cloud2_barcodes_ap

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506733.v1
title: cloud2_barcodes_aq

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506734.v1
title: cloud2_barcodes_as

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506731
title: cloud2_barcodes_ao

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506728
title: cloud2_barcodes_aj

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506729
title: cloud2_barcodes_am

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506730
title: cloud2_barcodes_an

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506731.v1
title: cloud2_barcodes_ao

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1512834.v121
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.1506729.v1
title: cloud2_barcodes_am

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506730.v1
title: cloud2_barcodes_an

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.