cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.3203404
title: Last FM, Jazz Listeners, Dynamic Network

description: LastFM is a music website that allows its members to register and listen to music online. It is also a social network platform, because the members can declare friendship relationships. In LastFM, members can join a predefined groups related to their music tastes, and participate in music-related events such as concerts. Using the LastFM API, One can retrieve the information of the artist and track a user has listened to, with the exact timestamp. Moreover, it is also possible to get some information regarding the music-related events the users joined, including the exact timestamps.<br>We extracted a network by focusing on the members of the group Jazz, which is supposed to include users appreciating this type of music. We took advantage of the LastFM API to retrieve the members of this group and the existing friendship connection between them. In the end, our network contains 1702 nodes representing the Jazz users. The friendship relationships between them is static, though, inthe sense the LastFM API does not give access to any temporal information regarding their beginning or end. So, we decided to take advantage of some additional information to get a dynamic structure. We put a link between two nodes if two conditions were simultaneously true: 1) both considered users listened to at least one common artist for a specific period of time, and 2) they are friends on the LastFM platform. For the mentioned period of time, we decided to use 3 months with 1 month overlap, after having analyzed the dynamics of the platform. In other words, we extracted a dynamic network in which each time slice represents three months of LastFM usage for our 1702 users of interest. There are one month overlap between two consecutive time slices.
DOI: 10.6084/m9.figshare.3203410
title: Enron Dynamic Network

description: Enron is a well-known dataset in network science and text mining. It has been widely studied in academia. In network science, several different static networks appear in the literature. However, up to now, no dynamic network has been published, even though the email conversations have timestamps.We processed the original dataset to extract a dynamic network, <br>In original dataset, It contains 158 nodes representing Enron employees between 1997 and 2002. All the addresses in the From and To fields of each email are considered, resulting in a network of 28802 nodes representing a distinct email addresses. A time span of one month is chosen for the time slices, generating 46 time slices. Two nodes are connected if the corresponding persons emailed each other during the given time slice. We did not make any distinction between sender and receiver, and thus produced an undirected dynamic network.
DOI: 10.6084/m9.figshare.3203422.v1
title: Designing and validation of a yoga-based intervention for obsessive compulsive disorder

description: Some yoga-based practices have been found to be useful for patients with obsessive compulsive disorder (OCD). The authors could not find a validated yoga therapy module available for OCD. This study attempted to formulate a generic yoga-based intervention module for OCD. A yoga module was designed based on traditional and contemporary yoga literature. The module was sent to 10 yoga experts for content validation. The experts rated the usefulness of the practices on a scale of 1–5 (5 = extremely useful). The final version of the module was pilot-tested on patients with OCD (<i>n</i> = 17) for both feasibility and effect on symptoms. Eighty-eight per cent (22 out of 25) of the items in the initial module were retained, with modifications in the module as suggested by the experts along with patients’ inputs and authors’ experience. The module was found to be feasible and showed an improvement in symptoms of OCD on total Yale-Brown Obsessive-Compulsive Scale (YBOCS) score (<i>p</i> = 0.001). A generic yoga therapy module for OCD was validated by experts in the field and found feasible to practice in patients. A decrease in the symptom scores was also found following yoga practice of 2 weeks. Further clinical validation is warranted to confirm efficacy.
DOI: 10.6084/m9.figshare.3203395
title: MENGA 3.1

description: MENGA is a platform for the integration of imaging data and Allen Human Brain Atlas mRNA data. MENGA aims to provide a comprehensive environment to investigate correlation patterns between various imaging modalities and gene expression profiles based on the Allen Brain Atlas.<br>This is the new version (MENGA 3.1), that includes two independent adds-on to use with MENGA (MENGA_GENE_EXPRESSION and MENGA_GENOMIC_PLOT). <br>Briefly, the first add-on extracts mRNA data in log2 values in case one wants to analyse only transcriptome data; the second extracts mRNA data in linear scale to be used to implement the <b><i>genomic plot </i></b>(<b>doi: 10.1016/j.neuroimage.2016.01.058</b>). <br>Therefore, the processed ABA database has remained the same: if you already have downloaded MENGA 3.0, you just need to download the updated code (code_MENGA_31.zip) and the updated manual.If you don't have the full database, you can find it at: <b>https://ndownloader.figshare.com/files/3991162</b> (MENGA 3.0 in figshare).<br>There are two main files: "code_MENGA_31.zip" contains all the code files, "MANUAL_MENGA_31_20160427" contains the updated manual.<br>The files can be found also at <b>http://fair.dei.unipd.it/require-software/</b> or <b>http://www.nitrc.org/projects/menga/ </b>or <b>https://github.com/FAIR-CNS/MENGA</b>.<br>We have now published the reference paper of MENGA on PlosOne, in which all the aspects of the software and its functionalities are described in details:<b>http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0148744</b><br>Current version is 3.1
DOI: 10.6084/m9.figshare.3203404.v1
title: Last FM, Jazz Listeners, Dynamic Network

description: LastFM is a music website that allows its members to register and listen to music online. It is also a social network platform, because the members can declare friendship relationships. In LastFM, members can join a predefined groups related to their music tastes, and participate in music-related events such as concerts. Using the LastFM API, One can retrieve the information of the artist and track a user has listened to, with the exact timestamp. Moreover, it is also possible to get some information regarding the music-related events the users joined, including the exact timestamps.<br>We extracted a network by focusing on the members of the group Jazz, which is supposed to include users appreciating this type of music. We took advantage of the LastFM API to retrieve the members of this group and the existing friendship connection between them. In the end, our network contains 1702 nodes representing the Jazz users. The friendship relationships between them is static, though, inthe sense the LastFM API does not give access to any temporal information regarding their beginning or end. So, we decided to take advantage of some additional information to get a dynamic structure. We put a link between two nodes if two conditions were simultaneously true: 1) both considered users listened to at least one common artist for a specific period of time, and 2) they are friends on the LastFM platform. For the mentioned period of time, we decided to use 3 months with 1 month overlap, after having analyzed the dynamics of the platform. In other words, we extracted a dynamic network in which each time slice represents three months of LastFM usage for our 1702 users of interest. There are one month overlap between two consecutive time slices.
DOI: 10.6084/m9.figshare.3203395.v1
title: MENGA 3.1

description: MENGA is a platform for the integration of imaging data and Allen Human Brain Atlas mRNA data. MENGA aims to provide a comprehensive environment to investigate correlation patterns between various imaging modalities and gene expression profiles based on the Allen Brain Atlas.<br>This is the new version (MENGA 3.1), that includes two independent adds-on to use with MENGA (MENGA_GENE_EXPRESSION and MENGA_GENOMIC_PLOT). <br>Briefly, the first add-on extracts mRNA data in log2 values in case one wants to analyse only transcriptome data; the second extracts mRNA data in linear scale to be used to implement the <b><i>genomic plot </i></b>(<b>doi: 10.1016/j.neuroimage.2016.01.058</b>). <br>Therefore, the processed ABA database has remained the same: if you already have downloaded MENGA 3.0, you just need to download the updated code (code_MENGA_31.zip) and the updated manual.If you don't have the full database, you can find it at: <b>https://ndownloader.figshare.com/files/3991162</b> (MENGA 3.0 in figshare).<br>There are two main files: "code_MENGA_31.zip" contains all the code files, "MANUAL_MENGA_31_20160427" contains the updated manual.<br>The files can be found also at <b>http://fair.dei.unipd.it/require-software/</b> or <b>http://www.nitrc.org/projects/menga/ </b>or <b>https://github.com/FAIR-CNS/MENGA</b>.<br>We have now published the reference paper of MENGA on PlosOne, in which all the aspects of the software and its functionalities are described in details:<b>http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0148744</b><br>Current version is 3.1
DOI: 10.6084/m9.figshare.3203380
title: Measurement of shipwreck-derived waterborne trace metals using DGT samplers

description: A contemporary approach to the assessment of metal pollutants in aquatic environments has been to measure contaminant concentrations in biological indicator species (mussels, oysters). However, for environments in which such indicator species do not occur naturally and cannot be deployed, alternative approaches for monitoring trace-metal pollution are required. Three years after the 2011 grounding of the MV <i>Rena</i>, diffusive gradients in thin films (DGT) samplers were deployed at Otaiti (the offshore reef where the <i>Rena</i> grounded) to assess levels of waterborne trace-metal contamination. Although the probability of detecting waterborne contaminants within a dynamic open ocean reef environment would seem low, due to mixing and dilution, our analyses confirmed the presence of copper (≤0.43 vs ≤0.27 nmol kg<sup>−1</sup>), iron (≤6.3 vs ≤4.2 nmol kg<sup>−1</sup>), aluminium (≤8.9 vs ≤1.3 nmol kg<sup>−1</sup>), zinc (≤2.8 vs ≤2.0 nmol kg<sup>−1</sup>) and manganese (≤0.11 vs ≤0.09 nmol kg<sup>−1</sup>) at elevated concentrations in the <i>Rena</i> debris field relative to reference sites. The results demonstrate the utility of DGTs as a tool for measuring waterborne contaminants and suggest further research is required to characterise the contaminant plume and determine what effect it might have on the recovery of Otaiti's impacted biological communities.
DOI: 10.6084/m9.figshare.3203380.v1
title: Measurement of shipwreck-derived waterborne trace metals using DGT samplers

description: A contemporary approach to the assessment of metal pollutants in aquatic environments has been to measure contaminant concentrations in biological indicator species (mussels, oysters). However, for environments in which such indicator species do not occur naturally and cannot be deployed, alternative approaches for monitoring trace-metal pollution are required. Three years after the 2011 grounding of the MV <i>Rena</i>, diffusive gradients in thin films (DGT) samplers were deployed at Otaiti (the offshore reef where the <i>Rena</i> grounded) to assess levels of waterborne trace-metal contamination. Although the probability of detecting waterborne contaminants within a dynamic open ocean reef environment would seem low, due to mixing and dilution, our analyses confirmed the presence of copper (≤0.43 vs ≤0.27 nmol kg<sup>−1</sup>), iron (≤6.3 vs ≤4.2 nmol kg<sup>−1</sup>), aluminium (≤8.9 vs ≤1.3 nmol kg<sup>−1</sup>), zinc (≤2.8 vs ≤2.0 nmol kg<sup>−1</sup>) and manganese (≤0.11 vs ≤0.09 nmol kg<sup>−1</sup>) at elevated concentrations in the <i>Rena</i> debris field relative to reference sites. The results demonstrate the utility of DGTs as a tool for measuring waterborne contaminants and suggest further research is required to characterise the contaminant plume and determine what effect it might have on the recovery of Otaiti's impacted biological communities.
DOI: 10.6084/m9.figshare.3203377
title: Effects of the MV <i>Rena</i> oil spill on intertidal rocky reefs in the Bay of Plenty, New Zealand

description: In the weeks following the 2011 <i>Rena</i> oil spill, a series of surveys was initiated on eight rocky intertidal reefs to describe the distribution of oil and to assess the impacts of oil on ecological communities. Consistent but relatively low cover of oil occurred at two sites (Mt Maunganui and Moturiki). The area covered by oil had decreased by c. 90% after 5 months due to natural weathering processes. There were immediate effects of oil fouling on the mussel <i>Limnoperna pulex</i> and its associated fauna, with reductions in the number of mussels and infaunal taxonomic richness. However, no ecological effects on any of the communities were detectable after 1 month. Overall, the ecological effects of the <i>Rena</i> oil spill on rocky shore intertidal communities were small and not long-lasting, but we stress that this does not consider potential sublethal effects and their consequences on organisms.
DOI: 10.6084/m9.figshare.3203362
title: Hufffaker et al_Data.docx

description: Data and code needed to run empirical illustration in:<br>R. Huffaker, R. Muñoz-Carpena, M. Campo-Bescos, and J. Southworth (2016), Demonstrating correspondence between decision-support models and dynamics of real-world environmental systems. <i>ENVSOFT</i>
DOI: 10.6084/m9.figshare.3203329
title: Research productivity data

description: data on research productivity of lecturers at a medical school in Africa<br>
DOI: 10.6084/m9.figshare.3203359
title: Digit-only Sauropod Track Xing et al 2016

description: <i>Track maker</i>: Sauropod<br><em>Location</em>: Gansu Province, Northern China<br><em>Upload</em> <em>date</em>: 27/04/16<br><em>Description</em>: Digit only sauropod pes impression<br><em>Notes</em>: Track number YSII-SS1-LP1. Published in Xing et al 2016 Digit-only sauropod pes trackways from China – evidence of swimming or a preservational phenomenon? Scientific Reports, 6:21138<em></em><br>
DOI: 10.6084/m9.figshare.3203377.v1
title: Effects of the MV <i>Rena</i> oil spill on intertidal rocky reefs in the Bay of Plenty, New Zealand

description: In the weeks following the 2011 <i>Rena</i> oil spill, a series of surveys was initiated on eight rocky intertidal reefs to describe the distribution of oil and to assess the impacts of oil on ecological communities. Consistent but relatively low cover of oil occurred at two sites (Mt Maunganui and Moturiki). The area covered by oil had decreased by c. 90% after 5 months due to natural weathering processes. There were immediate effects of oil fouling on the mussel <i>Limnoperna pulex</i> and its associated fauna, with reductions in the number of mussels and infaunal taxonomic richness. However, no ecological effects on any of the communities were detectable after 1 month. Overall, the ecological effects of the <i>Rena</i> oil spill on rocky shore intertidal communities were small and not long-lasting, but we stress that this does not consider potential sublethal effects and their consequences on organisms.
DOI: 10.6084/m9.figshare.3203362.v1
title: Hufffaker et al_Data.docx

description: Data and code needed to run empirical illustration in:<br>R. Huffaker, R. Muñoz-Carpena, M. Campo-Bescos, and J. Southworth (2016), Demonstrating correspondence between decision-support models and dynamics of real-world environmental systems. <i>ENVSOFT</i>
DOI: 10.6084/m9.figshare.3203317
title: Liga para spot "Compositores más que cómplices"

description: Spot de presentación de los personajes musicales del proyecto "Compositores más que Cómplices", con los siguientes participantes: <br>Omar AldamaBruno DanzzaJaime FloresNiurka Curbelo. <br>La presentación de Niurka Curbelo está ubicada entre 27s-48s y contiene el siguiente texto:<br><br>Niurka Curbelo. Cubana intrépida y audaz. Inició en la música a los 6 años. Considerada la "Tracy Chapman latina". Niurka es una cómplice con tesón. <br>Publicación del video: 16 de junio de 2013.<br><br>
DOI: 10.6084/m9.figshare.3203329.v2
title: Research productivity data

description: data on research productivity of lecturers at a medical school in Africa<br>
DOI: 10.6084/m9.figshare.3203305
title: Bacterial aetiology of otitis media in children in Pakistan aged 0–59 months; laboratory surveillance data from 2004 to 2013: comparison between before and after the introduction of Hib vaccination

description: Otitis media (OM) is a leading cause of childhood illness. In Pakistan, the estimated incidence of OM-associated hearing impairment is &gt;40/10,000 population and OM-associated mortality is 50–79·9/10×10<sup>6</sup> population. No OM microbiology data are available from Pakistan since 2004. To describe the microbiology of OM in children aged 0–59 months in Pakistan. Laboratory data on ear pus specimens taken from children seen between 2004 and 2013 were retrieved from the Laboratory Information Systems of the Aga Khan University and entered into Microsoft Excel and SPSS version 16.0. Bacterial culture results from 277 specimens were analysed. <i>Staphylococcus aureus</i> and <i>Pseudomonas aeruginosa</i> were the organisms most commonly isolated, followed by <i>Streptococcus pneumoniae</i> and <i>Haemophilus influenzae</i>. Polymicrobial cultures significantly increased in the post-Hib vaccination period from 19·5% to 32·7% (<i>P</i> = 0·038). <i>H. influenzae</i> also increased significantly from 16·8% to 24·5% (<i>P</i> = 0·038). An increase in <i>H. influenzae</i> may reflect non-b capsular types (not determined in the study), or even capsular types from areas with low vaccine coverage. Increases in polymicrobial cultures and <i>H. influenzae</i> warrant further study.
DOI: 10.6084/m9.figshare.3203305.v1
title: Bacterial aetiology of otitis media in children in Pakistan aged 0–59 months; laboratory surveillance data from 2004 to 2013: comparison between before and after the introduction of Hib vaccination

description: Otitis media (OM) is a leading cause of childhood illness. In Pakistan, the estimated incidence of OM-associated hearing impairment is &gt;40/10,000 population and OM-associated mortality is 50–79·9/10×10<sup>6</sup> population. No OM microbiology data are available from Pakistan since 2004. To describe the microbiology of OM in children aged 0–59 months in Pakistan. Laboratory data on ear pus specimens taken from children seen between 2004 and 2013 were retrieved from the Laboratory Information Systems of the Aga Khan University and entered into Microsoft Excel and SPSS version 16.0. Bacterial culture results from 277 specimens were analysed. <i>Staphylococcus aureus</i> and <i>Pseudomonas aeruginosa</i> were the organisms most commonly isolated, followed by <i>Streptococcus pneumoniae</i> and <i>Haemophilus influenzae</i>. Polymicrobial cultures significantly increased in the post-Hib vaccination period from 19·5% to 32·7% (<i>P</i> = 0·038). <i>H. influenzae</i> also increased significantly from 16·8% to 24·5% (<i>P</i> = 0·038). An increase in <i>H. influenzae</i> may reflect non-b capsular types (not determined in the study), or even capsular types from areas with low vaccine coverage. Increases in polymicrobial cultures and <i>H. influenzae</i> warrant further study.
DOI: 10.6084/m9.figshare.3203329.v1
title: NEEDS ASSESSMENT FOR PSTP.xlsx

description: data on research productivity of lecturers at a medical school in Africa<br>
DOI: 10.4225/03/572984e124395
title: BioPortal Query Interpretation Evaluation Queries

description: The file contains list of queries used to evaluate our query interpretation approach (search result relevance) on BioPortal dataset. These queries are selected from the BioPortal querylog.<br>
DOI: 10.6084/m9.figshare.3202099
title: Hector's dolphin movement patterns in response to height and direction of ocean swell

description: A central question to any understanding of ecology is how animals use their habitat, and how habitat use is influenced by temporally changing features of the environment. Previous research on Hector's dolphins at Akaroa Harbour, New Zealand suggested that dolphins leave inshore, harbour environments during or after rough weather. To test this hypothesis, visual sightings (2000–2012) and acoustic detections (2007–2008) of Hector's dolphins in Akaroa Harbour were modelled to test for a relationship with swell height and swell direction. Sighting rates and acoustic detection rates in Akaroa Harbour were significantly lower on days after big swell events and in some linear models after swell events from the south. These results indicate that swell events influence Hector's dolphin movements in and around Akaroa Harbour. Possible reasons for this behaviour are diverse and need further investigation. However, this information can be used both to predict daily dolphin movement for conservation and research purposes, and to suggest how dolphins may react in future if extreme weather events are becoming frequent.
DOI: 10.6084/m9.figshare.3202120
title: Measuring Outcomes in a Community Resilience Program: A New Metric for Evaluating Results at the Household Level

description: This dataset contains responses to the Public Health Response to Emergent Threats Survey (PHRETS), a population-level survey periodically fielded in Los Angeles County to guide disaster planning. Data contains responses from 4700 respondents on the variables used in our manuscript. All demographic data has been removed to ensure that all respondents were appropriately de-identified.
DOI: 10.6084/m9.figshare.3202072
title: Maize RefGen_v3 GO Annotations

description: These are the GO Annotations downloaded from Gramene and Phytozome for Maize REfGen_v3.<br><br><b>Please cite Gramene and Phytozome projects if you use these datasets</b><br>
DOI: 10.6084/m9.figshare.3202099.v1
title: Hector's dolphin movement patterns in response to height and direction of ocean swell

description: A central question to any understanding of ecology is how animals use their habitat, and how habitat use is influenced by temporally changing features of the environment. Previous research on Hector's dolphins at Akaroa Harbour, New Zealand suggested that dolphins leave inshore, harbour environments during or after rough weather. To test this hypothesis, visual sightings (2000–2012) and acoustic detections (2007–2008) of Hector's dolphins in Akaroa Harbour were modelled to test for a relationship with swell height and swell direction. Sighting rates and acoustic detection rates in Akaroa Harbour were significantly lower on days after big swell events and in some linear models after swell events from the south. These results indicate that swell events influence Hector's dolphin movements in and around Akaroa Harbour. Possible reasons for this behaviour are diverse and need further investigation. However, this information can be used both to predict daily dolphin movement for conservation and research purposes, and to suggest how dolphins may react in future if extreme weather events are becoming frequent.
DOI: 10.6084/m9.figshare.3202006
title: It Takes Teamwork to Make the Dream Work: Delivering data management services in a team based environment

description: Poster presented at the 2016 RDAP Summit by Florida State University Libraries. This poster captures the process of developing and delivering data management services in team setting.<br>Handout illustrating the typical workflow of a data management consultation is also included. <br><br>
DOI: 10.6084/m9.figshare.3201988
title: Taxi Time Series

description: These are time series from the NYC Taxi data used in the following paper:<br><i>Data Polygamy: The Many-Many Relationships among Urban Spatio-Temporal Data Sets, F. Chirigati, H. Doraiswamy, T. Damoulas, and J. Freire. In Proceedings of the 2016 ACM SIGMOD International Conference on Management of Data (SIGMOD), 2016</i>