cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.1098974.v5
title: Project Moonshot - Grid computing with android

description: Sparking a initiave between google and cancer researchers across the globe
DOI: 10.6084/m9.figshare.1098962.v3
title: 8-spot smFRET measurements on 6 dsDNA samples

description: Single-molecule FRET measurements on 5 doubly-labeled and 1 donor-only dsDNA sample performed on a 8-spot smFRET system. An additional buffer-only measurement (TE50) is included for completeness.<b>Copyright 2016 The Regents of the University of California</b><br>
DOI: 10.6084/m9.figshare.1098961.v2
title: usALEX: 5 dsDNA samples

description: Single-molecule FRET measurement of 5 dsDNA sample using a single-spot usALEX system.
DOI: 10.6084/m9.figshare.1098962.v2
title: 8-spot smFRET measurements on 6 dsDNA samples

description: Single-molecule FRET measurements on 5 doubly-labeled and 1 donor-only dsDNA sample performed on a 8-spot smFRET system. An additional buffer-only measurement (TE50) is included for completeness.<b>Copyright 2016 The Regents of the University of California</b><br>
DOI: 10.6084/m9.figshare.1098961.v3
title: usALEX: 5 dsDNA samples

description: Single-molecule FRET measurement of 5 dsDNA sample using a single-spot usALEX system.
DOI: 10.6084/m9.figshare.1098961.v4
title: smFRET μs-ALEX: 5 dsDNA samples

description: Single-molecule FRET measurement of 5 dsDNA sample using a single-spot usALEX system. <b>Copyright 2016 The Regents of the University of California</b>
DOI: 10.6084/m9.figshare.1098961.v5
title: smFRET μs-ALEX: 5 dsDNA samples

description: Single-molecule FRET measurement of 5 dsDNA sample using a single-spot usALEX system. <b>Copyright 2016 The Regents of the University of California</b>
DOI: 10.6084/m9.figshare.1098919
title: Extracting robust trends in species’ distributions from unstructured opportunistic data: a comparison of methods

description: Manuscript and supplementary information submitted to Methods in Ecology & Evolution in Decmeber 2013
DOI: 10.6084/m9.figshare.1098961.v6
title: smFRET μs-ALEX: 5 dsDNA samples

description: Single-molecule FRET measurement of 5 dsDNA sample using a single-spot usALEX system. <b>Copyright 2016 The Regents of the University of California</b>
DOI: 10.6084/m9.figshare.1098919.v2
title: Extracting robust trends in species’ distributions from unstructured opportunistic data: a comparison of methods

description: Manuscript and supplementary information submitted to Methods in Ecology & Evolution in Decmeber 2013
DOI: 10.6084/m9.figshare.1098961.v7
title: smFRET μs-ALEX: 5 dsDNA samples

description: Single-molecule FRET measurement of 5 dsDNA sample using a single-spot usALEX system. <b>Copyright 2016 The Regents of the University of California</b>
DOI: 10.6084/m9.figshare.1098919.v1
title: Simulations manuscript submission December 2013

description: Manuscript and supplementary information submitted to Methods in Ecology & Evolution in Decmeber 2013
DOI: 10.6084/m9.figshare.1098803
title: IGT raw data - heroin group

description: IGT raw data of the heroin group (N = 43)
DOI: 10.6084/m9.figshare.1098772
title: Ancillary Table A1

description: FASEBJ Supplemental Material for The human skeletal muscle transcriptome: sex differences, alternative splicing and tissue homogeneity assessed with RNA sequencing
DOI: 10.6084/m9.figshare.1098772.v1
title: Ancillary Table A1

description: FASEBJ Supplemental Material for The human skeletal muscle transcriptome: sex differences, alternative splicing and tissue homogeneity assessed with RNA sequencing
DOI: 10.6084/m9.figshare.1098770
title: ClinicalTrials.gov and WHO ICTRP - Registered statin studies

description: Registered statin studies. This database complies with the terms and conditions of ClinicalTrials.gov (available at:http://clinicaltrials.gov/ct2/about-site/terms-conditions) and the WHO ICTRP (available at: http://www.who.int/ictrp/search/download/en/) for using downloaded data.
DOI: 10.6084/m9.figshare.1098780.v2
title: Social Dual Task Developmental Dataset and Analyses

description: Project abstract: Many situations involve processing social and non-social information simultaneously. However, is not known how performance is affected in such situations. Here, we examined how our ability to process social information is affected by the need to keep track of non-social information. Both adolescent and adult participants were instructed to carry out two tasks within each trial. The social task involved referential communication – requiring participants to use social cues to guide their decisions. At the same time, cognitive load was manipulated by requiring participants to remember non-social information in the form of either one or three two-digit numbers visually presented before each social task stimulus. Data: These files include our dataset, as well as the scripts used to analyze the data. You will need to download R (http://www.r-project.org/) to use these files. Data are from 35 adolescents (11-17 years, mean age=14.5±1.7) and 29 adults (22-30 years, mean age=25.1±2.3). Ages are not provided to preserve anonymity. Participants completed an adapted version of the “Director Task” (Dumontheil, Hillebrandt, Apperly, & Blakemore, 2012) with an embedded working memory (WM) Task component. Afterwards, participants completed a verbal reverse digit-span task as a measure of WM capacity and the Interpersonal Reactivity Index questionnaire to assess individual differences in trait perspective taking (Davis, 1980). We have also included information about the errors made by individuals, as well as the Director Task stimuli. Data Analysis: We used the lme4 package in R (Bates, Maechler, & Bolker, 2013) to perform a linear mixed effects analysis on the relationship between our factors of interest and accuracy and RT for both tasks. As we hypothesised main effects and interactions between many of our variables, we determined which factors best predicted performance for our measures of interest by creating global models including cognitive load, condition, perspective, WM Capacity, TPT, as well as a combined metric of TPT and WM capacity (Combined Traits), as fixed effects. Random intercepts for each participant were included in all models. We compared all possible combinations of the variables within our global model using an automated model selection procedure (MuMIn1.10.0; Barton, 2013). Models were ranked using Second-order Akaike Information Criterion (AICc; Burnham & Anderson, 2002). We first tested for group effects by including all participants and including group (adolescents or adults) as a fixed effect. If there was a group difference on a performance measure we then checked to see if the best fitting model differed between groups.
DOI: 10.6084/m9.figshare.1098748
title: Tabla 1: Muestra participante

description: Muestra: 117 cursos de diferentes áreas de conocimiento accesibles durante el mes de marzo de 2014.
DOI: 10.6084/m9.figshare.1098750
title: Tabla 3. Rango y selección de atributos con Weka.

description: Para examinar qué componentes son más propios del curso que de la plataforma, se han sometido los datos a un algoritmo implementado en Weka que evalúa el valor de cada atributo mediante la medición de la ganancia de información3 (Witten, Frank & Hall, 2011) con respecto a la clase plataforma.
DOI: 10.6084/m9.figshare.1098750.v1
title: Tabla 3. Rango y selección de atributos con Weka.

description: Para examinar qué componentes son más propios del curso que de la plataforma, se han sometido los datos a un algoritmo implementado en Weka que evalúa el valor de cada atributo mediante la medición de la ganancia de información3 (Witten, Frank & Hall, 2011) con respecto a la clase plataforma.
DOI: 10.6084/m9.figshare.1098748.v1
title: Tabla 1: Muestra participante

description: Muestra: 117 cursos de diferentes áreas de conocimiento accesibles durante el mes de marzo de 2014.
DOI: 10.6084/m9.figshare.1098704
title: A GUIDE TO VAT

description: The basis of this research is to study the impact of value added tax(vat)in India as well as<br>across the India. The VAT is a tax on the final consumption of goods or services and is ultimately borne by<br>the consumer although it is collected at every stage of production or distribution and a tax credit is<br>granted at each stage for tax paid at the earlier stage in the chain of transfer sale of goods or services till it<br>reaches the final consumer.
DOI: 10.6084/m9.figshare.1098704.v1
title: A GUIDE TO VAT

description: The basis of this research is to study the impact of value added tax(vat)in India as well as<br>across the India. The VAT is a tax on the final consumption of goods or services and is ultimately borne by<br>the consumer although it is collected at every stage of production or distribution and a tax credit is<br>granted at each stage for tax paid at the earlier stage in the chain of transfer sale of goods or services till it<br>reaches the final consumer.
DOI: 10.6084/m9.figshare.1098705
title: Flu vaccine experiences and beliefs influence vaccination decision making more than knowledge

description: Data predicting flu vaccination based on experiences and beliefs
DOI: 10.6084/m9.figshare.1098642
title: Investigation on Correlation between First Name and IP Addresses

description: The data set contains a sample of Names and IP adresses.
DOI: 10.6084/m9.figshare.1098705.v1
title: Flu vaccine experiences and beliefs influence vaccination decision making more than knowledge

description: Data predicting flu vaccination based on experiences and beliefs
DOI: 10.6084/m9.figshare.1098636
title: Expression data: treated VS acute malaria

description: Expression data: treated VS acute malaria
DOI: 10.6084/m9.figshare.1098639
title: Expression data: experimental VS baseline

description: Expression data: experimental VS baseline
DOI: 10.6084/m9.figshare.1098627
title: Quality Control Report: Experimental VS baseline Malaria

description: Quality Control Report: Experimental VS baseline Malaria
DOI: 10.6084/m9.figshare.1098636.v1
title: Expression data: treated VS acute malaria

description: Expression data: treated VS acute malaria
DOI: 10.6084/m9.figshare.1098626
title: Quality Control Report: Acute VS treated

description: Quality Control Report: Acute VS treated
DOI: 10.6084/m9.figshare.1098627.v1
title: Quality Control Report: Experimental VS baseline Malaria

description: Quality Control Report: Experimental VS baseline Malaria
DOI: 10.6084/m9.figshare.1098639.v1
title: Expression data: experimental VS baseline

description: Expression data: experimental VS baseline
DOI: 10.6084/m9.figshare.1098626.v1
title: Quality Control Report: Acute VS treated

description: Quality Control Report: Acute VS treated
DOI: 10.6084/m9.figshare.1098545
title: Gaussian Job Archive for C51H42Cu2I3N3P2

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1098625
title: Quality Control Report: Baseline, experimental, acute and treated Malaria

description: Quality Control Report: Baseline, experimental, acute and treated Malaria
DOI: 10.6084/m9.figshare.1098625.v1
title: Quality Control Report: Baseline, experimental, acute and treated Malaria

description: Quality Control Report: Baseline, experimental, acute and treated Malaria
DOI: 10.6084/m9.figshare.1097657
title: Conditionality data

description: This data is from the paper http://onlinelibrary.wiley.com/doi/10.1111/ele.12279/abstract in Ecology Letters titled "How context dependent are species interactions?", which I wrote with Judith Bronstein and Jennifer Rudgers. The three `.csv` files are preliminary data, the final data we used to do our analyses, and a csv file with paper selection notes. The `.R` file was used to process the preliminary dataset to the final one. The final analyses were done in SAS, and I don't have persmission to share those. <strong>Anyway</strong>, the point here is that I think the raw data could be useful to others. See the paper and methods section for how we collected data: http://scottchamberlain.info/pdfs/ChamberlainEtal2014EcolLett.pdf
DOI: 10.6084/m9.figshare.1098545.v1
title: Gaussian Job Archive for C51H42Cu2I3N3P2

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1097657.v1
title: Conditionality data

description: This data is from the paper http://onlinelibrary.wiley.com/doi/10.1111/ele.12279/abstract in Ecology Letters titled "How context dependent are species interactions?", which I wrote with Judith Bronstein and Jennifer Rudgers. The two `.csv` files are preliminary data and then final data we used to do our analyses. The `.R` file was used to process the preliminary dataset to the final one. The final analyses were done in SAS, and I don't have persmission to share those. <strong>Anyway</strong>, the point here is that I think the raw data could be useful to others. See the paper and methods section for how we collected data: http://scottchamberlain.info/pdfs/ChamberlainEtal2014EcolLett.pdf
DOI: 10.6084/m9.figshare.1097657.v2
title: Conditionality data

description: This data is from the paper http://onlinelibrary.wiley.com/doi/10.1111/ele.12279/abstract in Ecology Letters titled "How context dependent are species interactions?", which I wrote with Judith Bronstein and Jennifer Rudgers. The two `.csv` files are preliminary data and then final data we used to do our analyses. The `.R` file was used to process the preliminary dataset to the final one. The final analyses were done in SAS, and I don't have persmission to share those. <strong>Anyway</strong>, the point here is that I think the raw data could be useful to others. See the paper and methods section for how we collected data: http://scottchamberlain.info/pdfs/ChamberlainEtal2014EcolLett.pdf
DOI: 10.6084/m9.figshare.1097657.v3
title: Conditionality data

description: This data is from the paper http://onlinelibrary.wiley.com/doi/10.1111/ele.12279/abstract in Ecology Letters titled "How context dependent are species interactions?", which I wrote with Judith Bronstein and Jennifer Rudgers. The two `.csv` files are preliminary data and then final data we used to do our analyses. The `.R` file was used to process the preliminary dataset to the final one. The final analyses were done in SAS, and I don't have persmission to share those. <strong>Anyway</strong>, the point here is that I think the raw data could be useful to others. See the paper and methods section for how we collected data: http://scottchamberlain.info/pdfs/ChamberlainEtal2014EcolLett.pdf
DOI: 10.6084/m9.figshare.1097657.v5
title: Conditionality data

description: This data is from the paper http://onlinelibrary.wiley.com/doi/10.1111/ele.12279/abstract in Ecology Letters titled "How context dependent are species interactions?", which I wrote with Judith Bronstein and Jennifer Rudgers. The three `.csv` files are preliminary data, the final data we used to do our analyses, and a csv file with paper selection notes. The `.R` file was used to process the preliminary dataset to the final one. The final analyses were done in SAS, and I don't have persmission to share those. <strong>Anyway</strong>, the point here is that I think the raw data could be useful to others. See the paper and methods section for how we collected data: http://scottchamberlain.info/pdfs/ChamberlainEtal2014EcolLett.pdf
DOI: 10.6084/m9.figshare.1097657.v4
title: Conditionality data

description: This data is from the paper http://onlinelibrary.wiley.com/doi/10.1111/ele.12279/abstract in Ecology Letters titled "How context dependent are species interactions?", which I wrote with Judith Bronstein and Jennifer Rudgers. The two `.csv` files are preliminary data and then final data we used to do our analyses. The `.R` file was used to process the preliminary dataset to the final one. The final analyses were done in SAS, and I don't have persmission to share those. <strong>Anyway</strong>, the point here is that I think the raw data could be useful to others. See the paper and methods section for how we collected data: http://scottchamberlain.info/pdfs/ChamberlainEtal2014EcolLett.pdf
DOI: 10.6084/m9.figshare.1097623
title: Cuadro 4 – Relación Teorías de aprendizaje con Tecnologías aplicadas en la Educación y ciencia de la Información

description: From: Un repositorio digital de contenido fílmico como recurso didáctico A Digital Repository of Filmic Content as a Teaching Resource Texeira, A., Ferreira, E. & Sousa, E. (2014). Preparatório para o concurso da SEMED. Secretaria Municipal de Educação. , Brasil: Governo do Manaus.
DOI: 10.6084/m9.figshare.1097623.v1
title: Cuadro 4 – Relación Teorías de aprendizaje con Tecnologías aplicadas en la Educación y ciencia de la Información

description: From: Un repositorio digital de contenido fílmico como recurso didáctico A Digital Repository of Filmic Content as a Teaching Resource Texeira, A., Ferreira, E. & Sousa, E. (2014). Preparatório para o concurso da SEMED. Secretaria Municipal de Educação. , Brasil: Governo do Manaus.
DOI: 10.6084/m9.figshare.1097622
title: Cuadro 3 – Relación Teorías aplicadas a e-learning con las teorías de aprendizaje

description: From: Un repositorio digital de contenido fílmico como recurso didáctico A Digital Repository of Filmic Content as a Teaching Resource Siemens, G. (2004). Connectivism: A Learning Theory for the Digital Age. International Journal of Instructional Technology and Distance Learning. (goo.gl/KJapgA) (14-04-2014)
DOI: 10.6084/m9.figshare.1097621
title: Cuadro 2 – Los cambios en el aprendizaje en Online

description: From: Un repositorio digital de contenido fílmico como recurso didáctico A Digital Repository of Filmic Content as a Teaching Resource Rosenberg, M.J. (2005). Beyond e-Learning: Approaches and Technologies to Enhance Organizational Knowledge, Learning and Performance. San Francisco, CA.
DOI: 10.6084/m9.figshare.1097622.v1
title: Cuadro 3 – Relación Teorías aplicadas a e-learning con las teorías de aprendizaje

description: From: Un repositorio digital de contenido fílmico como recurso didáctico A Digital Repository of Filmic Content as a Teaching Resource Siemens, G. (2004). Connectivism: A Learning Theory for the Digital Age. International Journal of Instructional Technology and Distance Learning. (goo.gl/KJapgA) (14-04-2014)
DOI: 10.6084/m9.figshare.1097621.v1
title: Cuadro 2 – Los cambios en el aprendizaje en Online

description: From: Un repositorio digital de contenido fílmico como recurso didáctico A Digital Repository of Filmic Content as a Teaching Resource Rosenberg, M.J. (2005). Beyond e-Learning: Approaches and Technologies to Enhance Organizational Knowledge, Learning and Performance. San Francisco, CA.
DOI: 10.6084/m9.figshare.1097620
title: Cuadro 1. Análisis de la información con relación al proyecto RECIF

description: From: Un repositorio digital de contenido fílmico como recurso didáctico A Digital Repository of Filmic Content as a Teaching Resource Baptista, D.M., Araújo JR., R.H. & Carlan, E. (2010). O escopo da análise de informação. In: J. Robredo, M.J. Bräscher & M. Bräscher (Orgs.), Passeios no bosque da informação: estudos sobre representação e organização do informação e do conhecimento. Brasília DF: IBICIT. (goo.gl/kt4X56) (02-01-2014).
DOI: 10.6084/m9.figshare.1097614
title: Nearest Neighbors Distance Ratio Open-Set Classifier

description: Feature vectors used in "Nearest neighbors distance ratio open-set classifier" paper to appear in Springer Machine Learning journal. In the <strong>15-Scenes</strong> (15scenes.dat) dataset, with 15 classes, the 4,485 images were represented by a bag-of-visual-word vector created with soft assignment and max pooling, based on a codebook of 1,000 Scale Invariant Feature Transform (SIFT) codewords. The 26 classes of the <strong>letter</strong> (letter.dat) dataset represent the letters of the English alphabet (black-and-white rectangular pixel displays). The 20,000 samples contain 16 attributes. The <strong>Auslan</strong> (auslan.dat) dataset contains 95 classes of Australian Sign Language (Auslan) signs collected from a volunteer native Auslan signer. Data was acquired using two Fifth Dimension Technologies (5DT) gloves hardware and two Ascension Flock-of-Birds magnetic position trackers. There are 146,949 samples represented with 22 features (<em>x</em>, <em>y</em>, <em>z</em> positions, bend measures, etc). The <strong>Caltech-256</strong> (caltech256.dat) dataset comprises 256 object classes. The feature vectors consider a bag-of-visual-words characterization approach and contain 1,000 features, acquired with dense sampling, SIFT descriptor for the points of interest, hard assignment, and average pooling. In total, there are 29,780 samples. The <strong>ALOI</strong> (aloi.dat) dataset has 1,000 classes and 108 samples for each class (108,000 in total). The features were extracted with the Border/Interior (BIC) descriptor and contain 128 dimensions. The <strong>ukbench</strong> (ukbench.dat) dataset comprises 2,550 classes of four images each. In our work, the images were represented with BIC descriptor (128 dimensions).
DOI: 10.6084/m9.figshare.1097598
title: result_pilot_F

description: result_pilot_F
DOI: 10.6084/m9.figshare.1097620.v1
title: Cuadro 1. Análisis de la información con relación al proyecto RECIF

description: From: Un repositorio digital de contenido fílmico como recurso didáctico A Digital Repository of Filmic Content as a Teaching Resource Baptista, D.M., Araújo JR., R.H. & Carlan, E. (2010). O escopo da análise de informação. In: J. Robredo, M.J. Bräscher & M. Bräscher (Orgs.), Passeios no bosque da informação: estudos sobre representação e organização do informação e do conhecimento. Brasília DF: IBICIT. (goo.gl/kt4X56) (02-01-2014).
DOI: 10.6084/m9.figshare.1097575
title: Ont t he Randomness of Names

description: This is another random data set
DOI: 10.6084/m9.figshare.1097598.v1
title: result_pilot_F

description: result_pilot_F
DOI: 10.6084/m9.figshare.1097570
title: Gaussian Job Archive for C27H34Cl2N2O2

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1097572
title: 6th July 2014 Penmaenmawr Promenade litter survey, North Wales

description: A GPS survey of litter items along the promenade at Penmaenmawr, North Wales, including adjacent stone filled areas, between the west end of the boat club compound and the cycleway at the eastern end. The promenade has no real litter problem, so this is intended to show the types of litter found during summer on a typical seaside promenade. Note: The first columns provide time, location and litter type information. The columns to the right provide aggregated totals for each of the twelve litter categories used.
DOI: 10.6084/m9.figshare.1097574
title: GPS litter survey at Sychnant Ponds, N Wales, Sun 4th May 2014

description: Results of a survey to guage the amount of litter located in an area of the Sychnant Pass in North Wales, close to paths popular with walkers and other casual visitors. It was intended to show the types of litter as an indicator of behaviour and littering-motivation. Coordinates are WGS-84. All litter was cleared away and disposed of, including recycling where relevant. Survey carried out by Andrew Thomas Sunday 4th May 2014. These data were used for creation of the fusion-table heat-map at http://www.snowdonia-society.org.uk/news.php?n_id=530
DOI: 10.6084/m9.figshare.1097575.v1
title: Ont t he Randomness of Names

description: This is another random data set
DOI: 10.6084/m9.figshare.1097614.v1
title: Open-Set Optimum-Path Forest

description: Feature vectors used in Open-Set Optimum-Path Forest research.
DOI: 10.6084/m9.figshare.1097570.v1
title: Gaussian Job Archive for C27H34Cl2N2O2

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.