cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.1507463
title: A Health GIS Based Approach to Portray the Influence of Ambient Temperature on Goat Health in Two Different Agro-Climatic Zones in West Bengal, India

description: Abstract<br>The spatial and temporal distribution patterns of the livestock health status in the developing countries<br>like India are complex. In this regards, the application of Geographical Information System (GIS) is<br>valuable as it has many features that make it an ideal tool for use in animal health surveillance, monitoring,<br>prediction and its management strategy. The goal of the present study is to find out the effect of ambient<br>temperature on goat health in two different agro-climatic zones in West Bengal, India with the additional<br>help of GIS technology. The highest mean value of temperature (42.6 ± 1.5 ºC) has been reported during<br>the month of April or May in the season of pre-monsoon in Purulia. Survey of India (SOI) topographical<br>sheets (73 I/3 and 79 B/5) are used to map the study areas. Top sheets are scanned, geo-referenced and<br>then digitized with the help of GIS software. The biochemical and meteorological data are entered to the<br>newly prepared digitized map as the non-spatial data or attributes. Moreover, the present work aims to<br>confer an indication of the potential applications and usages of a GIS in the field of animal health for<br>advancing the knowledge about this innovative approach of goat heath surveillance and monitoring.<br>Keywords: Goats; GIS; Pre-Monsoon; Post-Monsoon; Purulia; Nadia.
DOI: 10.6084/m9.figshare.1507466.v1
title: University of Manchester APCs 2015 (Jan--June)

description: This spreadsheet contains details of article processing charges (APCs) paid by the University of Manchester during the first half of 2015. 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.v88
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.1507460
title: Seasonal Variation in Erythrocytic Indices of Black Bengal Goats (Capra aegagrus hircus) in Purulia, West Bengal

description: Abstract: Being a multipurpose animal goat can produce meat, milk and hide. Purulia has a good number of Black Bengal goat populations, which has an important role in the lives of local goat rearers. The goal of the present study is to find out the effects of changing seasons on blood elements in Black Bengal goat (Capra aegagrus hircus) in Purulia of West Bengal. The highest mean value of temperature (ºC) has been reported during the month of April and May in the season of pre-monsoon. However, the lowest value of temperature (ºC) has been reported during the month of December and January in the season of post-monsoon. The parameter studied here are concentration of Hb, RBC count, PCV, MCV, MCH and MCHC. Data has analyzed for the effect of seasonal variation among both the sexes and the current findings implies that seasonal variation plays the major role to influence the erythrocytic indices.
DOI: 10.6084/m9.figshare.1507463.v1
title: A Health GIS Based Approach to Portray the Influence of Ambient Temperature on Goat Health in Two Different Agro-Climatic Zones in West Bengal, India

description: Abstract<br>The spatial and temporal distribution patterns of the livestock health status in the developing countries<br>like India are complex. In this regards, the application of Geographical Information System (GIS) is<br>valuable as it has many features that make it an ideal tool for use in animal health surveillance, monitoring,<br>prediction and its management strategy. The goal of the present study is to find out the effect of ambient<br>temperature on goat health in two different agro-climatic zones in West Bengal, India with the additional<br>help of GIS technology. The highest mean value of temperature (42.6 ± 1.5 ºC) has been reported during<br>the month of April or May in the season of pre-monsoon in Purulia. Survey of India (SOI) topographical<br>sheets (73 I/3 and 79 B/5) are used to map the study areas. Top sheets are scanned, geo-referenced and<br>then digitized with the help of GIS software. The biochemical and meteorological data are entered to the<br>newly prepared digitized map as the non-spatial data or attributes. Moreover, the present work aims to<br>confer an indication of the potential applications and usages of a GIS in the field of animal health for<br>advancing the knowledge about this innovative approach of goat heath surveillance and monitoring.<br>Keywords: Goats; GIS; Pre-Monsoon; Post-Monsoon; Purulia; Nadia.
DOI: 10.6084/m9.figshare.1507460.v1
title: Seasonal Variation in Erythrocytic Indices of Black Bengal Goats (Capra aegagrus hircus) in Purulia, West Bengal

description: Abstract: Being a multipurpose animal goat can produce meat, milk and hide. Purulia has a good number of Black Bengal goat populations, which has an important role in the lives of local goat rearers. The goal of the present study is to find out the effects of changing seasons on blood elements in Black Bengal goat (Capra aegagrus hircus) in Purulia of West Bengal. The highest mean value of temperature (ºC) has been reported during the month of April and May in the season of pre-monsoon. However, the lowest value of temperature (ºC) has been reported during the month of December and January in the season of post-monsoon. The parameter studied here are concentration of Hb, RBC count, PCV, MCV, MCH and MCHC. Data has analyzed for the effect of seasonal variation among both the sexes and the current findings implies that seasonal variation plays the major role to influence the erythrocytic indices.
DOI: 10.6084/m9.figshare.1507481.v2
title: APC data for 26 UK higher education institutions - 2015

description: This spreadsheet contains details of 4,301 article processing charges (APCs) paid by 26 UK higher education institutions during the first half of 2015. 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/) and has been released with permission of the institutions involved.
DOI: 10.6084/m9.figshare.1512834.v89
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.1507481.v4
title: APC data for 27 UK higher education institutions in 2015

description: This spreadsheet contains details of 4,358 article processing charges (APCs) paid by 27 UK higher education institutions during the first half of 2015. 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/) and has been released with permission of the institutions involved.
DOI: 10.6084/m9.figshare.1507453.v1
title: new fileset

description: clinical characteristic of subjects
DOI: 10.6084/m9.figshare.1507481.v3
title: APC data for 27 UK higher education institutions - 2015

description: This spreadsheet contains details of 4,358 article processing charges (APCs) paid by 27 UK higher education institutions during the first half of 2015. 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/) and has been released with permission of the institutions involved.
DOI: 10.6084/m9.figshare.1512834.v90
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.1506873
title: A reference Genome For a Mock Community dataset

description: Reference Genome from Shakya et al 2014
DOI: 10.6084/m9.figshare.1507191
title: Cell Therapy Trends

description: This set provides some statistical data in the field of cell therapy. Input measured as number of clinical trials. Output measured as results of clinical trials and studies, published in medical literature.
DOI: 10.6084/m9.figshare.1512834.v91
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.1506873.v2
title: A reference Genome For a Mock Community dataset

description: Reference Genome from Shakya et al 2014
DOI: 10.6084/m9.figshare.1507191.v2
title: Cell Therapy Trends

description: This set provides some statistical data in the field of cell therapy. Input measured as number of clinical trials. Output measured as results of clinical trials and studies, published in medical literature.
DOI: 10.6084/m9.figshare.1512834.v92
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.1506869
title: Ignore me

description: I want to delete this.
DOI: 10.6084/m9.figshare.1506873.v1
title: mircea.fa.gz

description: Reference Genomes from Shakya et al 2014
DOI: 10.6084/m9.figshare.1507191.v1
title: Cell Therapy Trends

description: This set provides some statistical data in the field of cell therapy. Input measured as number of clinical trials. Output measured as results of clinical trials and studies, published in medical literature.
DOI: 10.6084/m9.figshare.1512834.v93
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.1506869.v1
title: Supplementary Materials for Manuscripts

description: This contains supplementary materials for manuscripts that I write.
DOI: 10.6084/m9.figshare.1512834.v94
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.1506869.v3
title: Ignore me

description: I want to delete this.
DOI: 10.6084/m9.figshare.1506861
title: Gaussian Job Archive for C44H70N4O7Zn2 - 104128

description: JobID 104128 Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1506861.v1
title: Gaussian Job Archive for C44H70N4O7Zn2 - 104128

description: JobID 104128 Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1512834.v95
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.1506869.v2
title: Supplementary Materials for Manuscripts

description: This contains supplementary materials for manuscripts that I write.
DOI: 10.6084/m9.figshare.1506840
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.v96
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.1506829
title: University of Oxford APCs 2015 (Jan-June)

description: This spreadsheet contains details of article processing charges (APCs) paid by the University of Oxford during the first half of 2015 from RCUK funds. 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.v97
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.v1
title: MPG Ranch ITS 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.
DOI: 10.6084/m9.figshare.1506829.v1
title: University of Oxford APCs 2015 (Jan-June)

description: This spreadsheet contains details of article processing charges (APCs) paid by the University of Oxford during the first half of 2015 from RCUK funds. 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/).