cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.1512812.v1
title: Dados da pesquisa sobre ciúme romântico

description: Dados de uma pesquisa sobre o ciúme romântico, oriundos do Inventário de Ciúme Romântico (ICR). A amostra da presente pesquisa consiste em 400 pessoas de Vitória da Conquista (Bahia), com idades variando entre 18 e 76 anos (M = 29,96; DP = 11,73). Dos participantes, 62% são do sexo feminino, 94% são heterossexuais, 42% são casados ou moram com algum parceiro(a), 36% são solteiros e 22% possuem algum tipo de relacionamento amoroso. Cerca de 39,20% dos participantes possuem filhos, a mediana do número de relacionamentos que tiveram na vida é de 2. Com relação à escolaridade dos participantes, 37% possuem o ensino médio completo, 19% possuem ensino superior completo, 12% possuem o ensino médio incompleto, 10% possuem o ensino fundamental incompleto, 7% o ensino fundamental completo e 4% não informaram a escolaridade. No que diz respeito à religião, 56% são católicos, 30% são evangélicos e 14% são de alguma outra religião ou se consideram ateus. A idade mediana da primeira relação sexual é de 16 anos, 4,76% afirmam ter sofrido algum tipo de abuso sexual, 4,52% afirmam ter sofrido algum tipo de abuso físico e 15,91% afirmam ter sofrido algum tipo de abuso psicológico. A mediana do número de relações sexuais mensais é de 8; 31,20% afirmam terem traído algum parceiro(a) ao longo da vida e 46,37% afirmam terem sido traídos por algum parceiro(a). Considerando apenas os participantes que são casados ou que moram com algum parceiro(a) e os que possuem algum outro tipo de relacionamento amoroso, 19,84% afirmam que já traíram o parceiro(a) atual e 24,5% afirmam que o parceiro(a) atual já os traiu.
DOI: 10.6084/m9.figshare.1512808.v1
title: Shod Human on Rippled beach sand

description: Human footprint on a heavily rippled beach. Sole of shoe clear.<br>Notes: Interesting preservation in the slip/fault of the centre section of substrate during toe-off.
DOI: 10.6084/m9.figshare.1512817.v1
title: Example of use of CiTO #2

description: Annotating a citation act with an additional text-defined citation function.
DOI: 10.6084/m9.figshare.1512804
title: University of St Andrews APCs 2014-15

description: This spreadsheet contains details of article processing charges (APCs) paid by the University of St Andrews from 1 August 2014 to 31 July 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.v4
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.1512804.v1
title: University of St Andrews APCs 2014-15

description: This spreadsheet contains details of article processing charges (APCs) paid by the University of St Andrews from 1 August 2014 to 31 July 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.v5
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.1512801
title: Gaussian Job Archive for C30H36N4O6S

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1512789
title: Gaussian Job Archive for C30H36N4O6S

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1512793
title: Mucus-Inspired Biomaterial for more effective drug release

description: Mucins are biopolymer that assemble to into mucus, the thin gel that covers our eyes, nose, mouth, stomach, intestins, lungs, and female reproductive tract. Mucins are sticky molecules that protect us from infections. We assembled mucins into a hydrogel that would stick to therapteutic molecules to delays their release. This work suggests that mucins could soon find interresting application in the biomedical fields and in others.
DOI: 10.6084/m9.figshare.1512793.v1
title: Mucus-Inspired Biomaterial for more effective drug release

description: Mucins are biopolymer that assemble to into mucus, the thin gel that covers our eyes, nose, mouth, stomach, intestins, lungs, and female reproductive tract. Mucins are sticky molecules that protect us from infections. We assembled mucins into a hydrogel that would stick to therapteutic molecules to delays their release. This work suggests that mucins could soon find interresting application in the biomedical fields and in others.
DOI: 10.6084/m9.figshare.1512801.v1
title: Gaussian Job Archive for C30H36N4O6S

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1512789.v1
title: Gaussian Job Archive for C30H36N4O6S

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1512834.v6
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.1512519
title: AVALIAÇÃO DA QUALIDADE DE SERVIÇOS LOGÍSTICOS EM PROCESSOS CONSTRUTIVOS DE UNIDADES HABITACIONAIS DO PROGRAMA NACIONAL DE HABITAÇÃO RURAL

description: A indústria da construção civil caracteriza-se por ser um setor bastante competitivo, que visa garantir sua eficiência produtiva, reduzir os custos e melhorar os níveis de serviços. Esta pesquisa está focada nos impactos logísticos na gestão de obras do Programa Nacional de Habitação Rural – PNHR, que é parte integrante do Programa Minha Casa Minha Vida, do Governo Federal Brasileiro. O objetivo geral foi avaliar a qualidade de serviços logísticos em projetos construtivos desenvolvidos no interior do Estado do Pará. Adotou-se como estratégia de pesquisa o estudo de caso, analisando três empreendimentos de uma empresa construtora especializada em obras do PNHR, por meio da aplicação de ferramentas da qualidade, como: Diagrama de Ishikawa, Os 5 porquês, Matriz GUT, 5W1H, todas utilizadas nos processos logísticos necessários ao desenvolvimento da construção de unidades habitacionais do programa. Como principais resultados destacam-se: as dificuldades locais na contratação de mão de obra e na aquisição de materiais, afetando diretamente o objetivo de desempenho logístico de dimensionamento de recursos materiais e humanos necessários à produção. Conclui-se que a busca de novos fornecedores é necessária para o descongelamento do planejamento de aquisição de materiais, além de investimentos na estruturação do setor de RH da empresa e da contratação de engenheiros residentes de obra, objetivando facilitar o fluxo de informações e adotar padrões de procedimentos construtivos, aumentando, consequentemente, a qualidade da obra e reduzindo os custos de retrabalho.
DOI: 10.6084/m9.figshare.1512519.v1
title: AVALIAÇÃO DA QUALIDADE DE SERVIÇOS LOGÍSTICOS EM PROCESSOS CONSTRUTIVOS DE UNIDADES HABITACIONAIS DO PROGRAMA NACIONAL DE HABITAÇÃO RURAL

description: A indústria da construção civil caracteriza-se por ser um setor bastante competitivo, que visa garantir sua eficiência produtiva, reduzir os custos e melhorar os níveis de serviços. Esta pesquisa está focada nos impactos logísticos na gestão de obras do Programa Nacional de Habitação Rural – PNHR, que é parte integrante do Programa Minha Casa Minha Vida, do Governo Federal Brasileiro. O objetivo geral foi avaliar a qualidade de serviços logísticos em projetos construtivos desenvolvidos no interior do Estado do Pará. Adotou-se como estratégia de pesquisa o estudo de caso, analisando três empreendimentos de uma empresa construtora especializada em obras do PNHR, por meio da aplicação de ferramentas da qualidade, como: Diagrama de Ishikawa, Os 5 porquês, Matriz GUT, 5W1H, todas utilizadas nos processos logísticos necessários ao desenvolvimento da construção de unidades habitacionais do programa. Como principais resultados destacam-se: as dificuldades locais na contratação de mão de obra e na aquisição de materiais, afetando diretamente o objetivo de desempenho logístico de dimensionamento de recursos materiais e humanos necessários à produção. Conclui-se que a busca de novos fornecedores é necessária para o descongelamento do planejamento de aquisição de materiais, além de investimentos na estruturação do setor de RH da empresa e da contratação de engenheiros residentes de obra, objetivando facilitar o fluxo de informações e adotar padrões de procedimentos construtivos, aumentando, consequentemente, a qualidade da obra e reduzindo os custos de retrabalho.
DOI: 10.6084/m9.figshare.1512834.v7
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.1512508
title: A Novel Approach for Efficient Submission of Research Data to the National Database for Autism Research (NDAR)

description: Researchers seeking to share their data with coordinating centers such as the National Database for Autism Research (NDAR), face numerous barriers to establishing new connections and maintaining existing ones. We sought to dramatically reduce the time and money required to establish and maintain the interoperability of data between research centers, by establishing a process where manual recoding of data is replaced by data sharing instructions in the form of extraction and transformation scripts. Over the course of seven typical (20-60 subjects, 400-1000 fields each) data submissions to NDAR, the need for duplication, retranscription, or restructuring of the source data was fully eliminated. Separating the extraction and transformation scripts from data files also eradicated the impact of additional data collection on the time required to repeat successful transmissions. Revision controlled management of these scripts also provided a new benefit: traceability of the transformation process itself. Now, point-in-time retrieval of extraction scripts and explanations for modifications to the data sharing interface are possible. This method has proven to be successful and efficient for interfacing research data with NDAR. It presents little-to-no impact to transmitting investigators’ data, ensures high data integrity, trivializes the complexities of repeatedly modifying a growing dataset over time, and introduces traceability to the collaborative process of integrating two collections of data with one another.
DOI: 10.6084/m9.figshare.1512834.v8
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.1512508.v1
title: A Novel Approach for Efficient Submission of Research Data to the National Database for Autism Research (NDAR)

description: Researchers seeking to share their data with coordinating centers such as the National Database for Autism Research (NDAR), face numerous barriers to establishing new connections and maintaining existing ones. We sought to dramatically reduce the time and money required to establish and maintain the interoperability of data between research centers, by establishing a process where manual recoding of data is replaced by data sharing instructions in the form of extraction and transformation scripts. Over the course of seven typical (20-60 subjects, 400-1000 fields each) data submissions to NDAR, the need for duplication, retranscription, or restructuring of the source data was fully eliminated. Separating the extraction and transformation scripts from data files also eradicated the impact of additional data collection on the time required to repeat successful transmissions. Revision controlled management of these scripts also provided a new benefit: traceability of the transformation process itself. Now, point-in-time retrieval of extraction scripts and explanations for modifications to the data sharing interface are possible. This method has proven to be successful and efficient for interfacing research data with NDAR. It presents little-to-no impact to transmitting investigators’ data, ensures high data integrity, trivializes the complexities of repeatedly modifying a growing dataset over time, and introduces traceability to the collaborative process of integrating two collections of data with one another.
DOI: 10.6084/m9.figshare.12738224.v4
title: Musical preference in an online music community

description: This web page contains the dataset and supplementary material for the paper “Musical preference in an online music community” by Jintong Zhang and Haibo Hu. Please see Dataset_description.pdf for detailed data description.Supplementary_material.zip includes three supplementary material files: file 1 presents users’ mean music preference diversity in each region (HTML format), file 2 presents total number of users in each region (HTML format) and file 3 presents results of other ensemble learning classification methods (PDF format).
DOI: 10.6084/m9.figshare.1512834.v9
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.1512429
title: Appendix A. Words Illustrating the Opposition between the Two Rhotic Rythms /ɚ/ and /ɯ˞/ in Pianding Naxi and Appendix B. Words Illustrating the Syllabic Inventory of Pianding Naxi

description: Appendix A. Words Illustrating the Opposition between the Two Rhotic Rythms /ɚ/ and /ɯ˞/ in Pianding Naxi and Appendix B. Words Illustrating the Syllabic Inventory of Pianding Naxi
DOI: 10.6084/m9.figshare.1512429.v1
title: Appendix A. Words Illustrating the Opposition between the Two Rhotic Rythms /ɚ/ and /ɯ˞/ in Pianding Naxi and Appendix B. Words Illustrating the Syllabic Inventory of Pianding Naxi

description: Appendix A. Words Illustrating the Opposition between the Two Rhotic Rythms /ɚ/ and /ɯ˞/ in Pianding Naxi and Appendix B. Words Illustrating the Syllabic Inventory of Pianding Naxi
DOI: 10.6084/m9.figshare.1512834.v10
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.v11
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.v12
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.