cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.1512834.v61
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.1508534
title: nTOF30T

description: Neutrons at the CUP-TOF with 30cm collimator diameter. Time (150million protons)
DOI: 10.6084/m9.figshare.1508536
title: nTOF30E

description: Neutrons at the CUP-TOF with 30cm collimator diameter. Energy (150million protons)
DOI: 10.6084/m9.figshare.1508537.v1
title: nTOF30X

description: Neutrons at the CUP-TOF with 30cm collimator diameter. Position X (150million protons)
DOI: 10.6084/m9.figshare.1508533
title: nTOF30ID

description: Neutrons at the CUP-TOF with 30cm collimator diameter. ID (150million protons)
DOI: 10.6084/m9.figshare.1512834.v62
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.1508532
title: nCUP30W

description: Neutrons at the CUP with 30cm collimator diameter. Momentum W (150million protons)
DOI: 10.6084/m9.figshare.1508533.v1
title: nTOF30ID

description: Neutrons at the CUP-TOF with 30cm collimator diameter. ID (150million protons)
DOI: 10.6084/m9.figshare.1508536.v1
title: nTOF30E

description: Neutrons at the CUP-TOF with 30cm collimator diameter. Energy (150million protons)
DOI: 10.6084/m9.figshare.1508530
title: nCUP30U

description: Neutrons at the CUP with 30cm collimator diameter. Momentum U (150million protons)
DOI: 10.6084/m9.figshare.1508531
title: nCUP30V

description: Neutrons at the CUP with 30cm collimator diameter. Momentum V (150million protons)
DOI: 10.6084/m9.figshare.1508532.v1
title: nCUP30W

description: Neutrons at the CUP with 30cm collimator diameter. Momentum W (150million protons)
DOI: 10.6084/m9.figshare.1508528
title: nCUP30Y

description: Neutrons at the CUP with 30cm collimator diameter. Position Y (150million protons)
DOI: 10.6084/m9.figshare.1508530.v1
title: nCUP30U

description: Neutrons at the CUP with 30cm collimator diameter. Momentum U (150million protons)
DOI: 10.6084/m9.figshare.1508528.v1
title: nCUP30Y

description: Neutrons at the CUP with 30cm collimator diameter. Position Y (150million protons)
DOI: 10.6084/m9.figshare.1508531.v1
title: nCUP30V

description: Neutrons at the CUP with 30cm collimator diameter. Momentum V (150million protons)
DOI: 10.6084/m9.figshare.1512834.v63
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.1508527
title: nCUP30X

description: Neutrons at the CUP with 30cm collimator diameter. Position X (150million protons)
DOI: 10.6084/m9.figshare.1508529
title: nCUP30Z

description: Neutrons at the CUP with 30cm collimator diameter. Position Z (150million protons)
DOI: 10.6084/m9.figshare.1508526
title: nCUP30E

description: Neutrons at the CUP with 30cm collimator diameter. Energy (150million protons)
DOI: 10.6084/m9.figshare.1508526.v1
title: nCUP30E

description: Neutrons at the CUP with 30cm collimator diameter. Energy (150million protons)
DOI: 10.6084/m9.figshare.1508529.v1
title: nCUP30Z

description: Neutrons at the CUP with 30cm collimator diameter. Position Z (150million protons)
DOI: 10.6084/m9.figshare.1508525
title: nCUP30T

description: Neutrons at the CUP with 30cm collimator diameter. Time (150million protons)
DOI: 10.6084/m9.figshare.1508527.v1
title: nCUP30X

description: Neutrons at the CUP with 30cm collimator diameter. Position X (150million protons)
DOI: 10.6084/m9.figshare.1512834.v64
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.1508493
title: nTOF10V

description: Neutrons at the CUP-TOF with 10.2cm collimator diameter. Momentum V (150 million protons)
DOI: 10.6084/m9.figshare.1508524
title: nCUP30ID

description: Neutrons at the CUP with 30cm collimator diameter. ID (150million protons)
DOI: 10.6084/m9.figshare.1508492
title: nTOF10W

description: Neutrons at the CUP-TOF with 10.2cm collimator diameter. Momentum W (150 million protons)
DOI: 10.6084/m9.figshare.1508524.v1
title: nCUP30ID

description: Neutrons at the CUP with 30cm collimator diameter. ID (150million protons)
DOI: 10.6084/m9.figshare.1508525.v1
title: nCUP30T

description: Neutrons at the CUP with 30cm collimator diameter. Time (150million protons)
DOI: 10.6084/m9.figshare.1512834.v65
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.1508480
title: nTOF10Z

description: Neutrons at the CUP-TOF with 10.2cm collimator diameter. Position Z (150 million protons)
DOI: 10.6084/m9.figshare.1508491
title: nTOF10U

description: Neutrons at the CUP-TOF with 10.2cm collimator diameter. Momentum U (150 million protons)
DOI: 10.6084/m9.figshare.1508492.v1
title: nTOF10W

description: Neutrons at the CUP-TOF with 10.2cm collimator diameter. Momentum W (150 million protons)
DOI: 10.6084/m9.figshare.1508493.v1
title: nTOF10V

description: Neutrons at the CUP-TOF with 10.2cm collimator diameter. Momentum V (150 million protons)
DOI: 10.6084/m9.figshare.1508491.v1
title: nTOF10U

description: Neutrons at the CUP-TOF with 10.2cm collimator diameter. Momentum U (150 million protons)
DOI: 10.6084/m9.figshare.1508474
title: nTOF10X

description: Neutrons at the CUP-TOF with 10.2cm collimator diameter. Position X (150 million protons)
DOI: 10.6084/m9.figshare.1508479
title: nTOF10Y

description: Neutrons at the CUP-TOF with 10.2cm collimator diameter. Position Y (150 million protons)
DOI: 10.6084/m9.figshare.1508480.v1
title: nTOF10Z

description: Neutrons at the CUP-TOF with 10.2cm collimator diameter. Position Z (150 million protons)
DOI: 10.6084/m9.figshare.1508466
title: nTOF10T

description: Neutrons at the CUP-TOF with 10.2cm collimator diameter. Time (150million protons)
DOI: 10.6084/m9.figshare.1508474.v1
title: nTOF10X

description: Neutrons at the CUP-TOF with 10.2cm collimator diameter. Position X (150 million protons)
DOI: 10.6084/m9.figshare.1512834.v66
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.1508466.v1
title: nTOF10T

description: Neutrons at the CUP-TOF with 10.2cm collimator diameter. Time (150million protons)
DOI: 10.6084/m9.figshare.1508467
title: nTOF10E

description: Neutrons at the CUP-TOF with 10.2cm collimator diameter. Energy (150million protons)
DOI: 10.6084/m9.figshare.1508465
title: nTOF10ID

description: Neutrons at the CUP-TOF with 10.2cm collimator diameter. ID (150million protons)
DOI: 10.6084/m9.figshare.1508479.v1
title: nTOF10Y

description: Neutrons at the CUP-TOF with 10.2cm collimator diameter. Position Y (150 million protons)
DOI: 10.6084/m9.figshare.1512834.v67
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.1508467.v1
title: nTOF10E

description: Neutrons at the CUP-TOF with 10.2cm collimator diameter. Energy (150million protons)
DOI: 10.6084/m9.figshare.1508465.v1
title: nTOF10ID

description: Neutrons at the CUP-TOF with 10.2cm collimator diameter. ID (150million protons)
DOI: 10.6084/m9.figshare.1508437
title: Legends

description: Legends
DOI: 10.6084/m9.figshare.1508438
title: Plos One - Wutz et al.

description: data Expt 1-5 and legends
DOI: 10.6084/m9.figshare.1512834.v68
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.1508436
title: Expt 5

description: Expt 5
DOI: 10.6084/m9.figshare.1508438.v1
title: Plos One - Wutz et al.

description: data Expt 1-5 and legends
DOI: 10.6084/m9.figshare.1508435
title: Expt 4

description: Expt 4
DOI: 10.6084/m9.figshare.1508436.v1
title: Expt 5

description: Expt 5
DOI: 10.6084/m9.figshare.1508437.v1
title: Legends

description: Legends
DOI: 10.6084/m9.figshare.1508434
title: Expt 3

description: Expt 3
DOI: 10.6084/m9.figshare.1512834.v69
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.1508432
title: Expt 1

description: Expt 1
DOI: 10.6084/m9.figshare.1508433
title: Expt 2

description: Expt 2
DOI: 10.6084/m9.figshare.1508435.v1
title: Expt 4

description: Expt 4
DOI: 10.6084/m9.figshare.1508432.v1
title: Expt 1

description: Expt 1
DOI: 10.6084/m9.figshare.1508434.v1
title: Expt 3

description: Expt 3
DOI: 10.6084/m9.figshare.1508433.v1
title: Expt 2

description: Expt 2
DOI: 10.6084/m9.figshare.1512834.v70
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.1507601
title: "No Irish Need Apply" incidence of NINA statements in New Zealand Newspapers

description: This data set comprises the results for the phrase "No Irish Need Apply" in New Zealand newspapers that are available digitally through Papers Past. “Papers Past contains more than three million pages of digitised New Zealand newspapers and periodicals. The collection covers the years 1839 to 1948 and includes 119 publications from all regions of New Zealand.”[1] The search was conducted on 10 August 2015 and netted 262 results from years 1847-1934. The data set has not been de-duplicated. This data set has been shared “as is”, for educational and research purposes. This file was created and shared by Sarah Gallagher @sarahlibrarina (University of Otago, Dunedin, New Zealand) with a Creative Commons Attribution license (CC-BY) to encourage research in digital humanities using New Zealand content and for educational purposes. Endnotes: [1] Papers Past http://paperspast.natlib.govt.nz/
DOI: 10.6084/m9.figshare.1512834.v71
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.1507601.v1
title: "No Irish Need Apply" incidence of NINA statements in New Zealand Newspapers

description: This data set comprises the results for the phrase "No Irish Need Apply" in New Zealand newspapers that are available digitally through Papers Past. “Papers Past contains more than three million pages of digitised New Zealand newspapers and periodicals. The collection covers the years 1839 to 1948 and includes 119 publications from all regions of New Zealand.”[1] The search was conducted on 10 August 2015 and netted 262 results from years 1847-1934. The data set has not been de-duplicated. This data set has been shared “as is”, for educational and research purposes. This file was created and shared by Sarah Gallagher @sarahlibrarina (University of Otago, Dunedin, New Zealand) with a Creative Commons Attribution license (CC-BY) to encourage research in digital humanities using New Zealand content and for educational purposes. Endnotes: [1] Papers Past http://paperspast.natlib.govt.nz/
DOI: 10.6084/m9.figshare.1512834.v72
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.1507590
title: Luu et al. dataset

description: Dataset representing all of the data used to generate the figures in Luu et al., 2015. (Immunofluorescence images in separate files.)