cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.1512834.v292
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.1496569
title: Benchmark results for "Benchmarking neuromorphic systems with Nengo"

description: This zip file contains the results from running the benchmarks from the make.py file. It can be extracted directly in the folder cloned from the git repository in order to immediately replicate the figures from the paper.
DOI: 10.6084/m9.figshare.1512834.v293
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.1496569.v2
title: Benchmark results for "Benchmarking neuromorphic systems with Nengo"

description: This zip file contains the results from running the benchmarks from the make.py file. It can be extracted directly in the folder cloned from the git repository in order to immediately replicate the figures from the paper.
DOI: 10.6084/m9.figshare.1512834.v294
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.1496569.v1
title: Benchmark results for "Benchmarking neuromorphic systems with Nengo"

description: This zip file contains the results from running the benchmarks from the make.py file. It can be extracted directly in the folder cloned from the git repository in order to immediately replicate the figures from the paper.
DOI: 10.6084/m9.figshare.1496551
title: Continuous Delivery to Deliver Organization Value

description: Software systems are essential to every organization to effectively deliver its<br>value. From small startups to large enterprises and governments, it is an<br>enabler to gain competitive advantage and render essential services to its<br>constituents. However, development process have been the main focus of most<br>software professionals. Little attention is given to the test and delivery<br>process. This decreases the effective value delivered by software. Delivery and<br>release dates gets delayed, and the value of software features is lost by the<br>time it reaches customers. I will give an overview of test-driven development, a software engineering<br>technique designed to reduce the feedback loop of delivering high quality<br>software. Next, I show how this extends to the entire software engineering<br>practice by expanding the scope to teams with practices in continuous delivery.<br>Last, I will share how the U.K. Digital Services achieved delivering software<br>with high quality, low cost and fast release cycles from their original<br>situation.
DOI: 10.6084/m9.figshare.1512834.v295
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.1496545
title: The Unoriginality of African Socio-Political Theories: A Justification

description: This paper examined the originality of African socio-political theories. This is synonymous to checking whether these Africans are the actual intiators of these theories or whether they adopted them from someone else. Finding this out was the primary objective of this study, which has to employ content analysis as its method. Published by WAJOPS West African Journal of Philsophical Studies, pp. 67-85
DOI: 10.6084/m9.figshare.1512834.v296
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.1496545.v1
title: The Unoriginality of African Socio-Political Theories: A Justification

description: This paper examined the originality of African socio-political theories. This is synonymous to checking whether these Africans are the actual intiators of these theories or whether they adopted them from someone else. Finding this out was the primary objective of this study, which has to employ content analysis as its method. Published by WAJOPS West African Journal of Philsophical Studies, pp. 67-85
DOI: 10.6084/m9.figshare.1512834.v297
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.1496534
title: Manipal Image Sentiment Analysis Dataset

description: This dataset has been created through a survey wherein 267 UG and PG students of Manipal Institute of Technology, participated and annotated 1000 images for its sentiment score on a scale of 7. Each image was presented to at least three annotators. After collecting all the annotations, we took the majority vote out of the three scores for each image; that is an image annotation is considered valid only when at least two of three annotators agree on the exact label (out of 7 labels). This dataset uses following sentiment label-map: 1-Depressed 2-Very Sad 3-Sad 4-Neutral 5-Happy 6-Very Happy 7-Excited
DOI: 10.6084/m9.figshare.1512834.v298
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.1496551.v2
title: Continuous Delivery to Deliver Organization Value

description: Software systems are essential to every organization to effectively deliver its<br>value. From small startups to large enterprises and governments, it is an<br>enabler to gain competitive advantage and render essential services to its<br>constituents. However, development process have been the main focus of most<br>software professionals. Little attention is given to the test and delivery<br>process. This decreases the effective value delivered by software. Delivery and<br>release dates gets delayed, and the value of software features is lost by the<br>time it reaches customers. I will give an overview of test-driven development, a software engineering<br>technique designed to reduce the feedback loop of delivering high quality<br>software. Next, I show how this extends to the entire software engineering<br>practice by expanding the scope to teams with practices in continuous delivery.<br>Last, I will share how the U.K. Digital Services achieved delivering software<br>with high quality, low cost and fast release cycles from their original<br>situation.
DOI: 10.6084/m9.figshare.1496531
title: CMIP5 summary

description: Summary of CMIP5 ensembles following RCP 4.5, 2.6 & 8.5 in terms of 5 & 95 percentiles as well as ensemble mean. The data contain the saturated water pressure estimated for the region 100W,30E/0N,40N
DOI: 10.6084/m9.figshare.1512834.v299
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.1496531.v1
title: CMIP5 summary

description: Summary of CMIP5 ensembles following RCP 4.5, 2.6 & 8.5 in terms of 5 & 95 percentiles as well as ensemble mean. The data contain the saturated water pressure estimated for the region 100W,30E/0N,40N
DOI: 10.6084/m9.figshare.1496534.v1
title: Image Sentiment Analysis using Deep Convolutional Neural Networks with Domain Specific Finetuning

description: This dataset has been created through a survey wherein 267 UG and PG students of Manipal Institute of Technology, participated and annotated 1000 images for its sentiment score on a scale of 7. Each image was presented to at least three annotators. After collecting all the annotations, we took the majority vote out of the three scores for each image; that is an image annotation is considered valid only when at least two of three annotators agree on the exact label (out of 7 labels). This dataset uses following sentiment label-map: 1-Depressed 2-Very Sad 3-Sad 4-Neutral 5-Happy 6-Very Happy 7-Excited
DOI: 10.6084/m9.figshare.1496524
title: Precipitation statistics for europe

description: Annual aggregates: wet-day mean and wet-day frequency
DOI: 10.6084/m9.figshare.1496526
title: Predictor for worst-case study

description: Saturation water pressure estimated from surface temperature (NCEP: air.mon.mean.nc) over '100W,30E/0N,40N.
DOI: 10.6084/m9.figshare.1496524.v1
title: Precipitation statistics for europe

description: Annual aggregates: wet-day mean and wet-day frequency
DOI: 10.6084/m9.figshare.1496526.v1
title: Predictor for worst-case study

description: Saturation water pressure estimated from surface temperature (NCEP: air.mon.mean.nc) over '100W,30E/0N,40N.
DOI: 10.6084/m9.figshare.1512834.v300
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.v301
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.1495556
title: Evaluation of ammonium fluoride for quantitative microwave-assisted extraction of silicon and boron from different solid samples

description: A novel, simple, efficient and environmentally friendly closed-microwave-assisted extraction (MAE) method of silicon and boron from a variety of industrial and environmental samples using ammonium fluoride as an extractant was developed. This method avoids handling the corrosive and toxic HF and prevents the potential risk of analyte loss due to the creation of volatile SiF<sub>4</sub> and BF<sub>3</sub> in the presence of HF. Atomic absorption spectrometry and inductively coupled plasma optical emission spectrometry were employed for the subsequent analysis of the resulting supernatant for determination of Si and B, respectively. Certified reference material BCR<sup>®</sup>-032 Natural Moroccan Phosphate Rock (phosphate fertiliser) was taken to optimise the extraction parameters such as the sample amount, extraction temperature and time and the volume of the extractant. The optimum extraction parameters evaluated using a fractional factorial design were as follows: 50 mg of the sample extracted with 5 mL of 100 g L<sup>−1</sup> NH<sub>4</sub> F for 15 min at 180°C. The optimised MAE procedure was successfully applied to nine different matrix reference materials intended primarily for validation of methods for determination of components in fertilisers, sludge, plants and fly ash. The obtained results were in a good agreement with the certified or comparative values with an overall precision better than 10% in all cases. The proposed method is recommended for fast and reliable preparation of samples with silicon content &lt;8.2% (w/w). However, further decreasing the sample mass to 10 mg enabled the quantitative extraction of silicon from fly ashes at levels of 23% (w/w).
DOI: 10.6084/m9.figshare.1512834.v302
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.1495556.v2
title: Evaluation of ammonium fluoride for quantitative microwave-assisted extraction of silicon and boron from different solid samples

description: A novel, simple, efficient and environmentally friendly closed-microwave-assisted extraction (MAE) method of silicon and boron from a variety of industrial and environmental samples using ammonium fluoride as an extractant was developed. This method avoids handling the corrosive and toxic HF and prevents the potential risk of analyte loss due to the creation of volatile SiF<sub>4</sub> and BF<sub>3</sub> in the presence of HF. Atomic absorption spectrometry and inductively coupled plasma optical emission spectrometry were employed for the subsequent analysis of the resulting supernatant for determination of Si and B, respectively. Certified reference material BCR<sup>®</sup>-032 Natural Moroccan Phosphate Rock (phosphate fertiliser) was taken to optimise the extraction parameters such as the sample amount, extraction temperature and time and the volume of the extractant. The optimum extraction parameters evaluated using a fractional factorial design were as follows: 50 mg of the sample extracted with 5 mL of 100 g L<sup>−1</sup> NH<sub>4</sub> F for 15 min at 180°C. The optimised MAE procedure was successfully applied to nine different matrix reference materials intended primarily for validation of methods for determination of components in fertilisers, sludge, plants and fly ash. The obtained results were in a good agreement with the certified or comparative values with an overall precision better than 10% in all cases. The proposed method is recommended for fast and reliable preparation of samples with silicon content &lt;8.2% (w/w). However, further decreasing the sample mass to 10 mg enabled the quantitative extraction of silicon from fly ashes at levels of 23% (w/w).
DOI: 10.6084/m9.figshare.1495541
title: ExplOERer project data set

description: This is the data set from the ExplOERer project. It includes data from over 700 adult educators and examines: (1) their use and learning with and from OER (2) their self-regulation behaviours (3) their workplace learning context