cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.1512834.v98
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.1506840.v2
title: MPG Ranch ITS amplicon data

description: ITS (fungal) amplicon data from soil study at MPG Ranch. Dates in file names denote sequencing runs at Argonne National Lab. Files beginning with R1 are forward read files (raw fastq files) and files beginning with I1 are index sequences. Concatenate the R1 and I1 files (in alphabetical order) prior to demultiplexing. Full metadata mapping file, with barcodes, for all samples is included. Open reference OTU table (97% identity, singletons removed) also included.
DOI: 10.6084/m9.figshare.1512834.v99
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.1506840.v3
title: MPG Ranch ITS amplicon data

description: ITS (fungal) amplicon data from soil study at MPG Ranch. Dates in file names denote sequencing runs at Argonne National Lab. Files beginning with R1 are forward read files (raw fastq files) and files beginning with I1 are index sequences. Concatenate the R1 and I1 files (in alphabetical order) prior to demultiplexing. Full metadata mapping file, with barcodes, for all samples is included. Open reference OTU table (97% identity, singletons removed) taxonomy metadata file, and OTU representative sequence fasta file also included.
DOI: 10.6084/m9.figshare.1512834.v100
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.1506796
title: Bioinformatics workshop @ Massey

description: These files are part of a <strong>bioinformatics workshop</strong>. The accompanying websites are available at <strong>http://sschmeier.github.io/bioinf-workshop/</strong>
DOI: 10.6084/m9.figshare.1512834.v101
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.1506796.v1
title: Bioinformatics workshop

description: These files are part of a <strong>bioinformatics workshop</strong>. The accompanying websites are available at <strong>http://sschmeier.github.io/bioinf-workshop/</strong>
DOI: 10.6084/m9.figshare.1506789
title: PIHM Input of Shale Hills Watershed

description: This is the input files of PIHM for the Shale Hills Watershed.
DOI: 10.6084/m9.figshare.1512834.v102
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.v103
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.1506791.v1
title: Descriptor based aproach to modelling zeotype materials

description: My poster on modelling the ammonia adsoption enthalpies on AlPO-34/CHA in terms of atomic properties of the Bronsted site heteroatom.
DOI: 10.17632/jw44tcywfr.1
title: Comunicação no perioperatório: Perspectivas dos Profissionais da Saúde e Pacientes na construção da Cultura de Segurança

description: Produção de artigo título COMUNICAÇÃO NO PERIOPERATÓRIO: PERSPECTIVAS DOS PROFISSIONAIS DA SAÚDE E PACIENTES NA CONSTRUÇÃO DA CULTURA DE SEGURANÇA
DOI: 10.6084/m9.figshare.1506779
title: Human Microbial Cloud Sequences

description: Sequence data and metadata used in Meadow et al. 2015. See README.md for details.
DOI: 10.6084/m9.figshare.1506789.v1
title: PIHM Input of Shale Hills Catchment

description: This is the input files of PIHM for the Shale Hills Watershed.
DOI: 10.6084/m9.figshare.1506789.v2
title: PIHM Input of Shale Hills Watershed

description: This is the input files of PIHM for the Shale Hills Watershed.
DOI: 10.6084/m9.figshare.1506791.v2
title: Descriptor based aproach to modelling zeotype materials

description: My poster on modelling the ammonia adsoption enthalpies on AlPO-34/CHA in terms of atomic properties of the Bronsted site heteroatom.
DOI: 10.6084/m9.figshare.1512834.v104
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.1506778
title: cloud2_seqs_bb

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506779.v1
title: Human Microbial Cloud Sequences

description: Sequence data and metadata used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1512834.v105
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.1506789.v3
title: PIHM Input of Shale Hills Watershed

description: This is the input files of PIHM for the Shale Hills Watershed.
DOI: 10.6084/m9.figshare.1506778.v1
title: cloud2_seqs_bb

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1512834.v106
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.1506779.v2
title: Human Microbial Cloud Sequences

description: Sequence data and metadata used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506777
title: cloud2_seqs_ba

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506776
title: map.txt

description: Mapping metadata table used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506779.v4
title: Human Microbial Cloud Sequences

description: Sequence data and metadata used in Meadow et al. 2015. See README.md for details.
DOI: 10.6084/m9.figshare.1506789.v4
title: PIHM Input of Shale Hills Watershed

description: This is the input files of PIHM for the Shale Hills Watershed.
DOI: 10.6084/m9.figshare.1506777.v1
title: cloud2_seqs_ba

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1512834.v107
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.1506779.v3
title: Human Microbial Cloud Sequences

description: Sequence data and metadata used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506789.v6
title: PIHM Input of Shale Hills Watershed

description: This is the input files of PIHM for the Shale Hills Watershed.
DOI: 10.6084/m9.figshare.1506774
title: cloud2_seqs_ay

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506775
title: cloud2_seqs_az

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506776.v1
title: map.txt

description: Mapping metadata table used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506789.v5
title: PIHM Input of Shale Hills Watershed

description: This is the input files of PIHM for the Shale Hills Watershed.
DOI: 10.6084/m9.figshare.1512834.v108
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.1506773
title: cloud2_seqs_ax

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506775.v1
title: cloud2_seqs_az

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506773.v1
title: cloud2_seqs_ax

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506774.v1
title: cloud2_seqs_ay

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506770
title: cloud2_seqs_av

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506771
title: cloud2_seqs_aw

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506769
title: cloud2_seqs_au

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1512834.v109
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.1506771.v2
title: cloud2_seqs_aw

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

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506769.v2
title: cloud2_seqs_au

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506771.v1
title: Human Microbial Cloud 2 Seqs aw

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1512834.v110
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.1506767
title: cloud2_seqs_at

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506769.v1
title: Human Microbial Cloud 2 Seqs au

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506770.v2
title: cloud2_seqs_av

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506766
title: cloud2_seqs_ar

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506766.v1
title: cloud2_seqs_ar

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506767.v1
title: cloud2_seqs_at

description: Subset of sequences used in Meadow et al. 2015. See README.txt for details.
DOI: 10.6084/m9.figshare.1506770.v1
title: Human Microbial Cloud 2 Seqs av

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

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