cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.4257011.v1
title: New draft item

description: Mitochondrial repair effects of oxygen treatment on Alzheimer’s disease model mice revealed by quantitative proteomics Methodology 1. Animals Triple-transgenic AD mice [B6; 129-Psen1tm1Mpm Tg (APPSwe, tauP301L) 1Lfa/Mmjax] purchased from The Jackson Laboratory were divided into an oxygen-treated (OT) group (N = 12) and a control (Ctrl) group (N = 9). The oxygen treatment methods are described in detail elsewhere. 2. Mitochondrion isolation The hippocampus was homogenized with isolation buffer (225 mM sucrose, 75 mM mannitol, 1 mM EGTA, and 5 mM HEPES; pH 7.4) by Potter homogenization. Large cellular debris and nuclei were pelleted by centrifugation for 3 min at 1300 ×<i>g</i>. The resulting supernatant was centrifuged for 10 min at 21,000 ×<i>g</i> and the pellet was re-suspended in 1.5 mL of a 15% (v/v) Percoll (Sigma) solution. A stock Percoll solution was prepared as a mixture of Percoll and isolation buffer. A 1-mL aliquot of 40% Percoll solution was placed into a 4.0-mL polycarbonate tube and a neat layer of 1.5 mL of 24% Percoll was placed over the 40% Percoll solution aliquot. The re-suspended pellet was placed gently onto the Percoll gradient column. Separation was performed by centrifugation at 30,700 ×<i>g</i> for 50 min. After centrifugation, the upper band comprised of myelin and synaptosomes was removed carefully, and then the lower band containing mitochondria was collected. 3. Protein sample preparation and iTRAQ labeling To isolate mitochondria, we employed a method developed originally for use with lens tissues that was modified slightly for preparation of hippocampal mitochondria. Briefly, the mitochondria were lysed in ice-cold lysis buffer (KeyGEN, China) with an ultrasonic crusher (Branson Ultrasonics, USA). Subsequent protein digestion was performed by filter-aided sample preparation. After digestion, the tryptic peptides were labeled with iTRAQ reagents (AB SCIEX, USA) in accordance with the manufacturer’s protocol. Samples from the OT group were labeled with reagents 113 and 114; Ctrl group samples were labeled with reagents 115 and 116. 4. LC-MS/MS analysis LC-MS/MS analysis was performed with a nanoLC trap column (ChromXP C18) and a TripleTOF 5600 System (AB SCIEX, Concord, ON) fitted with a Nanospray III source (AB SCIEX, Concord, ON). Samples were loaded into a ChromXP C18 (3 μm, 120 Å) nanoLC trap column. Online chromatography separation was performed in a EksigentnanoLC-Ultra™ 2D System (AB SCIEX, Concord, ON). The scan scope (m/z) for TOF-MS is 350–1500 and that for MS/MS is 400–1250. The MS/MS data were analyzed for protein identification with ProteinPilot Software v.4.5 (AB Sciex Inc., USA). Gene Ontology (GO) categorization and protein-protein interaction were performed with the PANTHER and STRING databases, respectively.
DOI: 10.6084/m9.figshare.4256855
title: A list of all identified proteins determined from the hippocampal mitochondria of OT and Ctrl AD mice

description: A list of all identified proteins determined from the hippocampal mitochondria of OT and Ctrl AD mice. (OT: 113/114; Ctrl: 115/116)
DOI: 10.6084/m9.figshare.4256855.v1
title: A list of all identified proteins determined from the hippocampal mitochondria of OT and Ctrl AD mice

description: A list of all identified proteins determined from the hippocampal mitochondria of OT and Ctrl AD mice. (OT: 113/114; Ctrl: 115/116)
DOI: 10.6084/m9.figshare.4256738
title: A list of all identified proteins determined from the hippocampal mitochondria of OT and Ctrl AD mice

description: A list of all identified proteins determined from the hippocampal mitochondria of OT and Ctrl AD mice. (OT: 113/114; Ctrl: 115/116)
DOI: 10.6084/m9.figshare.4256738.v1
title: A list of all identified proteins determined from the hippocampal mitochondria of OT and Ctrl AD mice

description: A list of all identified proteins determined from the hippocampal mitochondria of OT and Ctrl AD mice. (OT: 113/114; Ctrl: 115/116)
DOI: 10.6084/m9.figshare.4256612
title: Cosmetecor Chieti observatory dataset before M6.2 Amatrice earthquake (24.08.2016) and earthquakes M&gt;6 in Central Italy (26.10 and 30.10.2016)

description: Cosmetecor Chieti observatory dataset before M6.2 Amatrice earthquake (24.08.2016) and earthquakes M&gt;6 in Central Italy (26.10 and 30.10.2016) <br>full data set is available for 2016 yr.<br>ftp://ftp.cosmetecor.org/archive_all/2016/s6-chieti_2016/<br>Station is located at a distance 90-110 km from EQ epicenters in Central Italy.
DOI: 10.6084/m9.figshare.4256612.v1
title: Cosmetecor Chieti observatory dataset before M6.2 Amatrice earthquake (24.08.2016) and earthquakes M&gt;6 in Central Italy (26.10 and 30.10.2016)

description: Cosmetecor Chieti observatory dataset before M6.2 Amatrice earthquake (24.08.2016) and earthquakes M&gt;6 in Central Italy (26.10 and 30.10.2016) <br>full data set is available for 2016 yr.<br>ftp://ftp.cosmetecor.org/archive_all/2016/s6-chieti_2016/<br>Station is located at a distance 90-110 km from EQ epicenters in Central Italy.
DOI: 10.6084/m9.figshare.4256594
title: 5Deg EDM Bearing Experimental Test Data

description: Measured vibration of a defective bearing with an EDM defect on the outer raceway of the bearing. Entry and exit slope of 5 degrees and 7.5mm long with an appiled load of 2.5-10kN and a shaft speed of 5-12.5Hz.
DOI: 10.6084/m9.figshare.4256603
title: Cosmetecor Pizzoli observatory dataset before M6.2 Amatrice earthquake (24.08.2016) and earthquakes M&gt;6 in Central Italy (26.10 and 30.10.2016)

description: Cosmetecor Pizzoli observatory dataset before M6.2 Amatrice earthquake (24.08.2016) and earthquakes M&gt;6 in Central Italy (26.10 and 30.10.2016) <br>full data set is available for 2016 yr.<br>ftp://ftp.cosmetecor.org/archive_all/2016/s9-imfset_2016/<br><br>
DOI: 10.6084/m9.figshare.4256594.v1
title: 5Deg EDM Bearing Experimental Test Data

description: Measured vibration of a defective bearing with an EDM defect on the outer raceway of the bearing. Entry and exit slope of 5 degrees and 7.5mm long with an appiled load of 2.5-10kN and a shaft speed of 5-12.5Hz.
DOI: 10.6084/m9.figshare.4256603.v2
title: Cosmetecor Pizzoli observatory dataset before M6.2 Amatrice earthquake (24.08.2016) and earthquakes M&gt;6 in Central Italy (26.10 and 30.10.2016)

description: Cosmetecor Pizzoli observatory dataset before M6.2 Amatrice earthquake (24.08.2016) and earthquakes M&gt;6 in Central Italy (26.10 and 30.10.2016) <br>full data set is available for 2016 yr.<br>ftp://ftp.cosmetecor.org/archive_all/2016/s9-imfset_2016/<br><br>
DOI: 10.6084/m9.figshare.4256603.v1
title: Cosmetecor Pizzoli observatory dataset before M6.2 Amatrice earthquake (24.08.2016) and earthquakes M&gt;6 in Central Italy (26.10 and 30.10.2016)

description: Cosmetecor Pizzoli observatory dataset before M6.2 Amatrice earthquake (24.08.2016) and earthquakes M&gt;6 in Central Italy (26.10 and 30.10.2016) <br>full data set is available for 2016 yr.ftp://ftp.cosmetecor.org/archive_all/2016/s9-chieti_2016/<br>
DOI: 10.6084/m9.figshare.4256576
title: Data for figures 2 to 6.xlsx

description: Raw data to accompany figures currently under review at Plos one.<br>Rodent retina data includes TUNEL and G8+ cell counts, scotopic flash electroretinogram % difference from baseline for a-wave and b-wave, ONL and GFAP quantification.<br><br><br>
DOI: 10.6084/m9.figshare.4256585
title: Cosmetecor Chieti observatory dataset before 24.08.2016 Amatrice earthquake

description: 26.07.2016Cosmetecor Chieti observatory dataset before 24.08.2016 Amatrice earthquake
DOI: 10.6084/m9.figshare.4256576.v1
title: Data for figures 2 to 6.xlsx

description: Raw data to accompany figures currently under review at Plos one.<br>Rodent retina data includes TUNEL and G8+ cell counts, scotopic flash electroretinogram % difference from baseline for a-wave and b-wave, ONL and GFAP quantification.<br><br><br>
DOI: 10.6084/m9.figshare.4256585.v1
title: Cosmetecor Chieti observatory dataset before 24.08.2016 Amatrice earthquake

description: 26.07.2016Cosmetecor Chieti observatory dataset before 24.08.2016 Amatrice earthquake
DOI: 10.21227/8w1x-m353
title: Dataset with cyber attacks in HoneySELK

description: Due to the large number of vulnerabilities in information systems and the continuous activity of attackers, techniques for malicious traffic detection are required to identify and protect against cyber-attacks. Therefore, it is important to intentionally operate a cyber environment to be invaded and compromised in order to allow security professionals to analyze the evolution of the various attacks and exploited vulnerabilities.This dataset includes 2016, 2017 and 2018 cyber attacks in the HoneySELK environment.HoneySELK was developed to control, capture, analyze and visualize new and unknown attacks in real time within the research laboratory of the Electrical Engineering Department of the University of Brasília. - Rodrigues, G.A.P.; Albuquerque, R.d.O.; de Deus, F.E.G.; de Sousa, R.T., Jr.; de Oliveira Júnior, G.A. Cybersecurity and Network Forensics: Analysis of Malicious Traffic towards a Honeynet with Deep Packet Inspection. Appl. Sci. 2017, 7, 1082 (https://www.mdpi.com/2076-3417/7/10/1082).- Oliveira Júnior, G.A.; de Sousa, R.T., Jr.; de Albuquerque, R.O.; Canedo, E.D.; Grégio, A. HoneySELK: Um Ambiente para Pesquisa e Visualização de Ataques Cibernéticos em Tempo Real. In Proceedings of the XVI Simpósio Brasileiro em Segurança da Informação e de Sistemas Computacionais, Niteroi, Rio de Janeiro, Brazil, 7–10 November 2016; pp. 697–706 (http://sbseg2016.ic.uff.br/pt/anais.php and https://repositorio.unb.br/handle/10482/22886).- Oliveira Jr, G. A., Sousa Jr, R. T. de, Tenório, D. F. (2015). Desenvolvimento de um Ambiente Honeynet Virtual para Aplicação Governamental. In: The Ninth International Conference on Forensic Computer Science. v. 1. p. 70-80 (http://www.icofcs.org/2015/papers-published-009.html).
DOI: 10.6084/m9.figshare.4256573.v1
title: Text Phylogeny

description: <pre>Over the history of mankind, textual records change. Sometimes due to mistakes during transcription, sometimes on purpose, as a way to rewrite facts and reinterpret history. There are several classical cases, such as the logarithmic tables, and the transmission of antique and medieval scholarship. Today, text documents are largely edited and redistributed on the Web. Articles on news portals and collaborative platforms (such as \emph{Wikipedia}), source code, posts on social networks, and even scientific publications or literary works are some examples in which textual content can be subject to changes in an evolutionary process. In this scenario, given a set of near-duplicate documents, it is worthwhile to find which one is the original and the history of changes that created the whole set. Such functionality would have immediate applications on news tracking services, detection of plagiarism, textual criticism, and copyright enforcement, for instance. However, this is not an easy task, as textual features pointing to the documents' evolutionary direction may not be evident and are often dataset dependent. Moreover, side information, such as time stamps, are neither always available nor reliable. In this paper, we propose a framework for reliably reconstructing text phylogeny trees, and seamlessly exploring new approaches on a wide range of scenarios of text reusage. We employ and evaluate distinct combinations of dissimilarity measures and reconstruction strategies within the proposed framework, and evaluate each approach with extensive experiments, including a set of artificial near-duplicate documents with known phylogeny, and from documents collected from Wikipedia, whose modifications were made by Internet users. We also present results from qualitative experiments in two different applications: text plagiarism and reconstruction of evolutionary trees for manuscripts (stemmatology).</pre>
DOI: 10.6084/m9.figshare.4256567
title: Primas - Paraíba study

description: Comic book related with a academic and fictional study about prostitution in Paraiba/ Brasil.
DOI: 10.6084/m9.figshare.4256567.v3
title: Primas - Paraíba study

description: Comic book related with a academic and fictional study about prostitution in Paraiba/ Brasil.
DOI: 10.6084/m9.figshare.4256552
title: Transforming food systems at local levels: using participatory system dynamics in an interactive manner to refine small-scale farmers’ mental models

description: Food systems will need to undergo considerable transformation. To be better prepared for and resilient to uncertainty and disturbances in the future, resource users and managers need to further develop knowledge about the food and farming system, with its dominating feedback structures and complexities, and to test robust and integrated system-based solutions. These figures illustrate a research process that investigates how participatory system dynamics modeling can be adapted to groups at the community level with low or no formal educational background. For this purpose, we ran two workshops with small-scale farmers in Zambia. Analysis of workshop data and post-workshop interviews shows that participatory system dynamics is well adaptable to support an audience-specific learning-by-doing approach. The use of pictures, objects and water glasses in combination with the basic aspects of causal loop diagramming makes for a well-balanced toolbox. Participants acquire understanding that is also relevant beyond systems thinking in that is offers a range of practical insights such as a critical evaluation of common food security strategies.
DOI: 10.6084/m9.figshare.4256552.v1
title: Transforming food systems at local levels: using participatory system dynamics in an interactive manner to refine small-scale farmers’ mental models

description: Food systems will need to undergo considerable transformation. To be better prepared for and resilient to uncertainty and disturbances in the future, resource users and managers need to further develop knowledge about the food and farming system, with its dominating feedback structures and complexities, and to test robust and integrated system-based solutions. These figures illustrate a research process that investigates how participatory system dynamics modeling can be adapted to groups at the community level with low or no formal educational background. For this purpose, we ran two workshops with small-scale farmers in Zambia. Analysis of workshop data and post-workshop interviews shows that participatory system dynamics is well adaptable to support an audience-specific learning-by-doing approach. The use of pictures, objects and water glasses in combination with the basic aspects of causal loop diagramming makes for a well-balanced toolbox. Participants acquire understanding that is also relevant beyond systems thinking in that is offers a range of practical insights such as a critical evaluation of common food security strategies.
DOI: 10.6084/m9.figshare.4256525
title: studying farmers' dynamic decision making

description: These pictures summarize a stream of research that studies dynamic decision making in food systems, that is, how stakeholders in food systems, especially small-scale farmers, make decisions to improve their livelihoods and adapt to change. For this purpose, we use qualitative research methods such as interviews. We then visualize decision-making in various ways and study the dynamic implications of the applied decision making using quantified simulation models. By doing so, we make local knowledge accessible and available for analysis and discussion.
DOI: 10.6084/m9.figshare.4256525.v1
title: studying farmers' dynamic decision making

description: These pictures summarize a stream of research that studies dynamic decision making in food systems, that is, how stakeholders in food systems, especially small-scale farmers, make decisions to improve their livelihoods and adapt to change. For this purpose, we use qualitative research methods such as interviews. We then visualize decision-making in various ways and study the dynamic implications of the applied decision making using quantified simulation models. By doing so, we make local knowledge accessible and available for analysis and discussion.
DOI: 10.6084/m9.figshare.4254578
title: MYOP: cross-validation dataset

description: This dataset was used to evaluate MYOP using 5 fold cross-validation.
DOI: 10.6084/m9.figshare.4254494
title: Sandy (Cleaned)

description: Dataset of tweets about Hurricane Sandy which was the most destructive hurricane in United States history with more than 230 deaths and 75 billion of damages. This dataset were collected from 29th October 2012 to 31st October 2012 using the 3 keywords: “sandy”, “hurricane” and “storm”.<br>This is a cleaned version of the former dataset (sandy<em>_full</em>) in which we filtered through a classification algorithm non-topically related tweets as explained in our paper.<br>In accordance with Twitter's Terms of Service, we only provide identifiers of tweets. In order to "hydrate" those tweet identifiers, or in other words, to collect the actual tweets, you could use our <strong>Tweeset </strong>tool.https://bitbucket.org/amjedbj/tweeset.<br>If you would like to use this dataset, please cite our paper:<em>Lynda Tamine, Laure Soulier, Lamjed Ben Jabeur, Frederic Amblard, Chihab Hanachi, Gilles Hubert, and Camille Roth. 2016. Social Media-Based Collaborative Information Access: Analysis of Online Crisis-Related Twitter Conversations. In Proceedings of the 27th ACM Conference on Hypertext and Social Media (HT '16). ACM, New York, NY, USA, 159-168. DOI: http://dx.doi.org/10.1145/2914586.2914589</em><br>
DOI: 10.6084/m9.figshare.4254485
title: Case study: shipping trend estimation and prediction via multiscale variance stabilisation

description: Shipping and shipping services are a key industry of great importance to the economy of Cyprus and the wider European Union. Assessment, management and future steering of the industry, and its associated economy, is carried out by a range of organisations and is of direct interest to a number of stakeholders. This article presents an analysis of shipping credit flow data: an important and archetypal series whose analysis is hampered by rapid changes of variance. Our analysis uses the recently developed data-driven Haar–Fisz transformation that enables accurate trend estimation and successful prediction in these kinds of situation. Our trend estimation is augmented by bootstrap confidence bands, new in this context. The good performance of the data-driven Haar–Fisz transform contrasts with the poor performance exhibited by popular and established variance stabilisation alternatives: the Box–Cox, logarithm and square root transformations.
DOI: 10.6084/m9.figshare.4254494.v1
title: Sandy (Cleaned)

description: Dataset of tweets about Hurricane Sandy which was the most destructive hurricane in United States history with more than 230 deaths and 75 billion of damages. This dataset were collected from 29th October 2012 to 31st October 2012 using the 3 keywords: “sandy”, “hurricane” and “storm”.<br>This is a cleaned version of the former dataset (sandy<em>_full</em>) in which we filtered through a classification algorithm non-topically related tweets as explained in our paper.<br>In accordance with Twitter's Terms of Service, we only provide identifiers of tweets. In order to "hydrate" those tweet identifiers, or in other words, to collect the actual tweets, you could use our <strong>Tweeset </strong>tool.https://bitbucket.org/amjedbj/tweeset.<br>If you would like to use this dataset, please cite our paper:<em>Lynda Tamine, Laure Soulier, Lamjed Ben Jabeur, Frederic Amblard, Chihab Hanachi, Gilles Hubert, and Camille Roth. 2016. Social Media-Based Collaborative Information Access: Analysis of Online Crisis-Related Twitter Conversations. In Proceedings of the 27th ACM Conference on Hypertext and Social Media (HT '16). ACM, New York, NY, USA, 159-168. DOI: http://dx.doi.org/10.1145/2914586.2914589</em><br>
DOI: 10.6084/m9.figshare.4254479
title: Ebola (Cleaned)

description: Dataset of tweets about West African Ebola virus epidemic which is the most widespread epidemic of Ebola virus disease. The epidemic began in Guinea in December 2013 and lasted for two years. World government agencies report more than 11, 295 deaths. The dataset were collected from July 29th 2014 to August 28th 2014 using “ebola” as a keyword.<br>This is a cleaned version of the former dataset (<em>ebola_full</em>) in which we filtered through a classification algorithm non-topically related tweets as explained in our paper.<br>In accordance with Twitter's Terms of Service, we only provide identifiers of tweets. In order to "hydrate" those tweet identifiers, or in other words, to collect the actual tweets, you could use our <strong>Tweeset </strong>tool.https://bitbucket.org/amjedbj/tweeset.<br>If you would like to use this dataset, please cite our paper:<em>Lynda Tamine, Laure Soulier, Lamjed Ben Jabeur, Frederic Amblard, Chihab Hanachi, Gilles Hubert, and Camille Roth. 2016. Social Media-Based Collaborative Information Access: Analysis of Online Crisis-Related Twitter Conversations. In Proceedings of the 27th ACM Conference on Hypertext and Social Media (HT '16). ACM, New York, NY, USA, 159-168. DOI: http://dx.doi.org/10.1145/2914586.2914589</em>
DOI: 10.6084/m9.figshare.4254485.v1
title: Case study: shipping trend estimation and prediction via multiscale variance stabilisation

description: Shipping and shipping services are a key industry of great importance to the economy of Cyprus and the wider European Union. Assessment, management and future steering of the industry, and its associated economy, is carried out by a range of organisations and is of direct interest to a number of stakeholders. This article presents an analysis of shipping credit flow data: an important and archetypal series whose analysis is hampered by rapid changes of variance. Our analysis uses the recently developed data-driven Haar–Fisz transformation that enables accurate trend estimation and successful prediction in these kinds of situation. Our trend estimation is augmented by bootstrap confidence bands, new in this context. The good performance of the data-driven Haar–Fisz transform contrasts with the poor performance exhibited by popular and established variance stabilisation alternatives: the Box–Cox, logarithm and square root transformations.