cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.1512834.v171
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: 10.7284/137898
title: Water Temperature data collected during research cruise AT42-06 using a Sea-Bird SBE-48 instrument system onboard the platform RV Atlantis

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.1504025
title: FISH_PROJ800_TRANS_part2

description: Transmission data set with 800 projections, part 2 of 16.
DOI: 10.6084/m9.figshare.1504026
title: FISH_PROJ800_TRANS_part3

description: Transmission data set with 800 projections, part 3 of 16.
DOI: 10.6084/m9.figshare.1504028.v1
title: FISH_PROJ800_TRANS_part4

description: Transmission data set with 800 projections, part 4 of 16.
DOI: 10.6084/m9.figshare.1504024
title: Transmission data set with 800 projections, part 1 of 16.

description: Transmission data set with 800 projections, part 1 of 16.
DOI: 10.6084/m9.figshare.1504026.v1
title: FISH_PROJ800_TRANS_part3

description: Transmission data set with 800 projections, part 3 of 16.
DOI: 10.7284/137899
title: TSG (Thermosalinograph) data collected during research cruise AT42-06 using a Sea-Bird SBE-45 instrument system onboard the platform RV Atlantis

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.1504020
title: FISH_PROJ800_FLUO_part16

description: Fluorescence data set with 800 projections, part 16 of 16.
DOI: 10.6084/m9.figshare.1504024.v1
title: Transmission data set with 800 projections, part 1 of 16.

description: Transmission data set with 800 projections, part 1 of 16.
DOI: 10.6084/m9.figshare.1504025.v1
title: FISH_PROJ800_TRANS_part2

description: Transmission data set with 800 projections, part 2 of 16.
DOI: 10.6084/m9.figshare.1512834.v172
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.1504019
title: FISH_PROJ800_FLUO_part15

description: Fluorescence data set with 800 projections, part 15 of 16.
DOI: 10.6084/m9.figshare.1504020.v1
title: FISH_PROJ800_FLUO_part16

description: Fluorescence data set with 800 projections, part 16 of 16.
DOI: 10.6084/m9.figshare.1504017
title: FISH_PROJ800_FLUO_part13

description: Fluorescence data set with 800 projections, part 13 of 16.
DOI: 10.6084/m9.figshare.1504018
title: FISH_PROJ800_FLUO_part14

description: Fluorescence data set with 800 projections, part 14 of 16.
DOI: 10.6084/m9.figshare.1504019.v1
title: FISH_PROJ800_FLUO_part15

description: Fluorescence data set with 800 projections, part 15 of 16.
DOI: 10.6084/m9.figshare.1512834.v173
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.1504016
title: FISH_PROJ800_FLUO_part12

description: Fluorescence data set with 800 projections, part 12 of 16.
DOI: 10.6084/m9.figshare.1504017.v1
title: FISH_PROJ800_FLUO_part13

description: Fluorescence data set with 800 projections, part 13 of 16.
DOI: 10.6084/m9.figshare.1504018.v1
title: FISH_PROJ800_FLUO_part14

description: Fluorescence data set with 800 projections, part 14 of 16.
DOI: 10.6084/m9.figshare.1504014
title: FISH_PROJ800_FLUO_part11

description: Fluorescence data set with 800 projections, part 11 of 16.
DOI: 10.6084/m9.figshare.1504016.v1
title: FISH_PROJ800_FLUO_part12

description: Fluorescence data set with 800 projections, part 12 of 16.
DOI: 10.6084/m9.figshare.1512834.v174
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.1504012
title: FISH_PROJ800_FLUO_part9

description: Fluorescence data set with 800 projections, part 9 of 16.
DOI: 10.6084/m9.figshare.1504013
title: FISH_PROJ800_FLUO_part10

description: Fluorescence data set with 800 projections, part 10 of 16.
DOI: 10.6084/m9.figshare.1504012.v1
title: FISH_PROJ800_FLUO_part9

description: Fluorescence data set with 800 projections, part 9 of 16.
DOI: 10.6084/m9.figshare.1504014.v1
title: FISH_PROJ800_FLUO_part11

description: Fluorescence data set with 800 projections, part 11 of 16.
DOI: 10.6084/m9.figshare.1512834.v175
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.1504011
title: FISH_PROJ800_FLUO_part8

description: Fluorescence data set with 800 projections, part 8 of 16
DOI: 10.6084/m9.figshare.1504013.v1
title: FISH_PROJ800_FLUO_part10

description: Fluorescence data set with 800 projections, part 10 of 16.
DOI: 10.6084/m9.figshare.1504011.v1
title: FISH_PROJ800_FLUO_part8

description: Fluorescence data set with 800 projections, part 8 of 16
DOI: 10.6084/m9.figshare.1512834.v176
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.1504008
title: FISH_PROJ800_FLUO_part7

description: Fluorescence data set with 800 projections, part 7 of 16.
DOI: 10.6084/m9.figshare.1504007
title: FISH_PROJ800_FLUO_part6

description: Fluorescence data set with 800 projections, part 6 of 16.
DOI: 10.6084/m9.figshare.1504008.v1
title: FISH_PROJ800_FLUO_part7

description: Fluorescence data set with 800 projections, part 7 of 16.
DOI: 10.6084/m9.figshare.1512834.v177
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.1504006
title: FISH_PROJ800_FLUO_part5

description: Fluroscence data set with 800 projections, part 5 of 16.
DOI: 10.6084/m9.figshare.1504007.v1
title: FISH_PROJ800_FLUO_part6

description: Fluorescence data set with 800 projections, part 6 of 16.
DOI: 10.6084/m9.figshare.1504003
title: FISH_PROJ800_FLUO_part2

description: Fluorescence data set with 800 projections, part 2 of 16.
DOI: 10.6084/m9.figshare.1504004
title: FISH_PROJ800_FLUO_part3

description: Fluorescence data set with 800 projections, part 3 of 16.
DOI: 10.6084/m9.figshare.1504005
title: FISH_PROJ800_FLUO_part4

description: Fluorescence data set with 800 projections, part 4 of 16.
DOI: 10.6084/m9.figshare.1504004.v1
title: FISH_PROJ800_FLUO_part3

description: Fluorescence data set with 800 projections, part 3 of 16.
DOI: 10.6084/m9.figshare.1504003.v1
title: FISH_PROJ800_FLUO_part2

description: Fluorescence data set with 800 projections, part 2 of 16.
DOI: 10.6084/m9.figshare.1504005.v1
title: FISH_PROJ800_FLUO_part4

description: Fluorescence data set with 800 projections, part 4 of 16.
DOI: 10.6084/m9.figshare.1504006.v1
title: FISH_PROJ800_FLUO_part5

description: Fluroscence data set with 800 projections, part 5 of 16.
DOI: 10.6084/m9.figshare.1512834.v178
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.1504001
title: FISH_PROJ64_TRANS_part2

description: Transmission data set with 64 projections, part 2 of 2.
DOI: 10.6084/m9.figshare.1504002
title: FISH_PROJ800_FLUO_part1

description: Fluorescence data set with 800 projections, part 1 of 16.
DOI: 10.6084/m9.figshare.1504000
title: FISH_PROJ64_TRANS_part1

description: Transmission data set with 64 projections, part 1 of 2.
DOI: 10.6084/m9.figshare.1504000.v1
title: FISH_PROJ64_TRANS_part1

description: Transmission data set with 64 projections, part 1 of 2.
DOI: 10.6084/m9.figshare.1504001.v1
title: FISH_PROJ64_TRANS_part2

description: Transmission data set with 64 projections, part 2 of 2.
DOI: 10.6084/m9.figshare.1504002.v1
title: FISH_PROJ800_FLUO_part1

description: Fluorescence data set with 800 projections, part 1 of 16.
DOI: 10.6084/m9.figshare.1512834.v179
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.v180
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.v181
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.1503959
title: University of Edinburgh APCs 2014

description: This spreadsheet contains details of article processing charges (APCs) paid by the University of Edinburgh during 2014. The data is being collected as part of Jisc's APC data collection project to address the Total Cost of Ownership of scholarly communication (https://www.jisc-collections.ac.uk/Jisc-Monitor/APC-data-collection/).
DOI: 10.6084/m9.figshare.1503959.v1
title: University of Edinburgh APCs 2014

description: This spreadsheet contains details of article processing charges (APCs) paid by the University of Edinburgh during 2014. The data is being collected as part of Jisc's APC data collection project to address the Total Cost of Ownership of scholarly communication (https://www.jisc-collections.ac.uk/Jisc-Monitor/APC-data-collection/).
DOI: 10.6084/m9.figshare.1512834.v182
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.v183
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: 10.5517/ccdc.csd.cc2520x6
title: CCDC 1997947: Experimental Crystal Structure Determination

description: Related Article: Jack Collins, Orlando Santoro, Timothy J. Prior, Kai Chen, Carl Redshaw|2021|J.Mol.Struct.|1224|129083|doi:10.1016/j.molstruc.2020.129083
DOI: 10.6084/m9.figshare.1512834.v184
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: 10.5517/ccdc.csd.cc2520y7
title: CCDC 1997948: Experimental Crystal Structure Determination

description: Related Article: Jack Collins, Orlando Santoro, Timothy J. Prior, Kai Chen, Carl Redshaw|2021|J.Mol.Struct.|1224|129083|doi:10.1016/j.molstruc.2020.129083