cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.3435410
title: Fox femorotibial joint reconstructions

description: This .zip file contains the following:*3 folders, each containing a different reconstruction of the same 24 red fox femorotibial (stifle) joints, labelled reconstruction 1,2,3*3 files, containing the output of the ImageJ macro found in PrecisionAnalyser for each folder, respectively*README.txt which contains some useful information, reproduced below:This folder contains project data relating to quantification of reconstruction variability.The three folders (Reconstruction1,2,3) contain different reconstructions of the same 24 femorotibial joints from a sample of red foxes (Vulpes vulpes) produced for measurement of the tibial tuberosity-trochlear groove distance [note: there are slight differences in technique between the method used here and that used in humans!].Each file represents one femorotibial joint as a stacked DICOM file - you can open the files in ImageJ and scroll or 'slide' through the reconstruction.Header metadata can be extracted using the ImageJ macro included in the PrecisionAnalyser Excel workbook - please note that when you do this, the macro will list the files in the order 10-14, then 3-9, rather than 3-14 as you might expect. Note also, that the data in the WorkedExample workbook is listed in the order 3-14, so if you are double-checking my data (as you should!) you will need to sort yours (or mine) first.Alternatively, if you are very trusting, the files HeaderData 1-3 contain the output of the macro, ready to be copied into PrecisonAnalyser (but still in the order 10-14, 3-9).<br>
DOI: 10.6084/m9.figshare.3435404
title: Data for: Soil inoculation steers restoration of terrestrial ecosystems

description: Study design In the Reijerscamp Natuurmonumenten established a large field experiment in 2006. There were four experimental areas (Area A-D). In each area large top-soil excavations were made down to the minaral soil (top-soil removal (rem) & untreated controls (cont)). In each of the excavated areas treatments were performed where 1) sods were added (sod), 2) where mixed soil was spead out (soil), and there was a control where nothing further had been done (cont) all additions were collected from well-developped seminatural sites (sods: Doorwerthse Heide, Wolfheze, Soil: Dennenkamp, Planken Wambuis) Outside the excavations the soil & control treatments were also performed just as inside the top-soil excavations. The sod addition treatment was not performed outside the top soil excavations . Hence in total there were 4 experimental areas, with 5 treatments each, creating 20 sampling locations. Within each sampling location a transect of 5 plots was laid out, with the centre plot in the middle of the sampling location. The orientation of the transect was decided randomly as far a the size of the treatment in each sampling location permitted (see tab 'transect orientation' in the primary data files). Each plot was 1x1m and the spacing between plot edges was 5 m (hence each transect from the far edges of plot 1 & 5 spans 25 m). All data in the primary data files were sampled in this way.
DOI: 10.6084/m9.figshare.3435410.v1
title: Fox femorotibial joint reconstructions

description: This .zip file contains the following:*3 folders, each containing a different reconstruction of the same 24 red fox femorotibial (stifle) joints, labelled reconstruction 1,2,3*3 files, containing the output of the ImageJ macro found in PrecisionAnalyser for each folder, respectively*README.txt which contains some useful information, reproduced below:This folder contains project data relating to quantification of reconstruction variability.The three folders (Reconstruction1,2,3) contain different reconstructions of the same 24 femorotibial joints from a sample of red foxes (Vulpes vulpes) produced for measurement of the tibial tuberosity-trochlear groove distance [note: there are slight differences in technique between the method used here and that used in humans!].Each file represents one femorotibial joint as a stacked DICOM file - you can open the files in ImageJ and scroll or 'slide' through the reconstruction.Header metadata can be extracted using the ImageJ macro included in the PrecisionAnalyser Excel workbook - please note that when you do this, the macro will list the files in the order 10-14, then 3-9, rather than 3-14 as you might expect. Note also, that the data in the WorkedExample workbook is listed in the order 3-14, so if you are double-checking my data (as you should!) you will need to sort yours (or mine) first.Alternatively, if you are very trusting, the files HeaderData 1-3 contain the output of the macro, ready to be copied into PrecisonAnalyser (but still in the order 10-14, 3-9).<br>
DOI: 10.6084/m9.figshare.3435401
title: MR Image Analytics to Characterize the Upper Airway Structure in Obese Children with Obstructive Sleep Apnea Syndrome

description: <b>Here is the data for Manuscript on Plos one (ID-PONE-D15-54189). More details are as follows.<br> </b><b>This spreadsheet lists the values of the 16 features listed in Table 7 of the paper for all 30 study subjects. The subjects are divided into the control and OSAS groups. This data can be used to test the accuracy of class prediction by using logistic regression as explained in the paper.</b><b> <br></b><br>
DOI: 10.6084/m9.figshare.3435401.v1
title: Data_PONE_D15_54189.zip

description: <b>Here is the data for Manuscript on Plos one (ID-PONE-D15-54189). More details are as follows.<br> </b><b>This spreadsheet lists the values of the 16 features listed in Table 7 of the paper for all 30 study subjects. The subjects are divided into the control and OSAS groups. This data can be used to test the accuracy of class prediction by using logistic regression as explained in the paper.</b><b> <br></b><br>
DOI: 10.6084/m9.figshare.3435380.v1
title: Spatial Dynamic Modelling of Future Scenarios of Land Use Change in Vaud and Valais, Western Switzerland

description: The land use change scenarios created for the "Spatial Dynamic Modelling of Future Scenarios of Land Use Change in Vaud and Valais, Western Switzerland" study (http://www.mdpi.com/2220-9964/6/4/115/htm).
DOI: 10.6084/m9.figshare.3435299
title: A Developer Centered Bug Prediction Model

description: <pre>Several techniques have been proposed to accurately predict software defects. These techniques generally exploit characteristics of the code artefacts (i.e., size, complexity, etc.) and/or of the process adopted in their development and maintenance (i.e., the number of developers working on a component) to spot out components likely containing bugs. While these bug prediction models achieve good levels of accuracy, they mostly ignore the major role played by human-related factors in the introduction of bugs. Previous studies have demonstrated that focused developers are less prone to introduce defects than non-focused developers. According to this observation, software components changed by focused developers should also be less error prone than components changed by less focused developers. We capture this observation by measuring the scattering of changes performed by developers working on a component and use this information to build a bug prediction model. Such a model has been evaluated on 26 systems and compared with four competitive techniques. The achieved results show the superiority of our model, and its high complementarity with respect to predictors commonly used in the literature. Based on this result, we also show the results of a ``hybrid'' prediction model combining our predictors with the state-of-the-art ones.</pre>
DOI: 10.6084/m9.figshare.3435299.v1
title: A Developer Centered Bug Prediction Model

description: <pre>Several techniques have been proposed to accurately predict software defects. These techniques generally exploit characteristics of the code artefacts (i.e., size, complexity, etc.) and/or of the process adopted in their development and maintenance (i.e., the number of developers working on a component) to spot out components likely containing bugs. While these bug prediction models achieve good levels of accuracy, they mostly ignore the major role played by human-related factors in the introduction of bugs. Previous studies have demonstrated that focused developers are less prone to introduce defects than non-focused developers. According to this observation, software components changed by focused developers should also be less error prone than components changed by less focused developers. We capture this observation by measuring the scattering of changes performed by developers working on a component and use this information to build a bug prediction model. Such a model has been evaluated on 26 systems and compared with four competitive techniques. The achieved results show the superiority of our model, and its high complementarity with respect to predictors commonly used in the literature. Based on this result, we also show the results of a ``hybrid'' prediction model combining our predictors with the state-of-the-art ones.</pre>
DOI: 10.6084/m9.figshare.3428333
title: Varian Log files - MATLAB Analysis.zip

description: MATLAB analysis of Varian log files.<br><br>
DOI: 10.6084/m9.figshare.3428333.v1
title: Varian Log files - MATLAB Analysis.zip

description: MATLAB analysis of Varian log files.<br><br>
DOI: 10.6084/m9.figshare.3428312
title: Vinny_the_Vaquita__Whale_family_tree.jpg

description: Originally an image from a children's book about vaquitas, these figures are an attractive way to introduce whale taxonomy.
DOI: 10.6084/m9.figshare.3428312.v1
title: Vinny_the_Vaquita__Whale_family_tree.jpg

description: Originally an image from a children's book about vaquitas, these figures are an attractive way to introduce whale taxonomy.
DOI: 10.6084/m9.figshare.3428225
title: Prova da irracionalidade de pi.ggb

description: Essa atividade faz parte do Trabalho de Conclusão de Curso, do aluno Alexandre Luiz Tuller Telles, no curso de Licenciatura em Matemática do Instituto Federal de Educação, Ciência e Tecnologia do Rio de Janeiro, campus Volta Redonda.
DOI: 10.6084/m9.figshare.3428225.v1
title: Prova da irracionalidade de pi.ggb

description: Essa atividade faz parte do Trabalho de Conclusão de Curso, do aluno Alexandre Luiz Tuller Telles, no curso de Licenciatura em Matemática do Instituto Federal de Educação, Ciência e Tecnologia do Rio de Janeiro, campus Volta Redonda.
DOI: 10.6084/m9.figshare.3428216
title: Environmental-specific heritabilities and maternal effects for body size, morphology and survival in juvenile Atlantic salmon (Salmo salar): Evidence from a field experiment

description: Poster #119<br>
DOI: 10.6084/m9.figshare.3428216.v1
title: Environmental-specific heritabilities and maternal effects for body size, morphology and survival in juvenile Atlantic salmon (Salmo salar): Evidence from a field experiment

description: Poster #119<br>
DOI: 10.6084/m9.figshare.3428204
title: Citas sobre MOOC en Scopus 2010-2013.txt

description: información bibliométrica sobre MOOC en Scopus
DOI: 10.6084/m9.figshare.3428204.v2
title: Citas sobre MOOC en Scopus 2010-2013.txt

description: información bibliométrica sobre MOOC en Scopus
DOI: 10.6084/m9.figshare.3428204.v1
title: analisis-citasScopus.txt

description: información bibliométrica sobre MOOC en Scopus
DOI: 10.6084/m9.figshare.3428201
title: Cybersecurity to Enable Open Science

description: Keynote at First International Conference on the Internet, Cyber Security and Information Systems. May 19th, 2016, Gaborone, Botswana.
DOI: 10.6084/m9.figshare.3428201.v2
title: Cybersecurity to Enable Open Science

description: Keynote at First International Conference on the Internet, Cyber Security and Information Systems. May 19th, 2016, Gaborone, Botswana.
DOI: 10.6084/m9.figshare.3428198
title: Carbon Monoxide on TiO2 anatase nanoparticles: IR spectra and backdonation effects

description: supporting data for the article: "<i>On the simple complexity of CO on oxide surfaces: facet-specific donation and backdonation effects revealed on TiO2 anatase nanoparticles"</i><br>published in:ChemPhysChem (2016)doi:10.1002/cphc.201600284<br>Detailed content of the file:1. Experimental methods and results1.1 Materials1.2 XRD 1.3 TEM1.4 IR spectroscopy<br>2. Modeling2.1 Computational methods2.2 Analysis of the electronic structure of CO@TiO2(110) and CO@TiO2(101) 2.2.1 Electronic density of states 2.2.2. Bonding charge density 2.2.3. Validation of the electronic structure calculations<br>Further material is available at the links below.<br>Green open access of the paper:https://figshare.com/articles/Carbon_Monoxide_on_Oxide_Surfaces_Facet-Specific_Donation_and_Backdonation_Effects_on_TiO2_Anatase_Nanoparticles/4788940<br>blog post explaining this research:https://yourmoleculardreams.wordpress.com/2016/07/25/tio2_co_bond/<br>popular summary:https://goo.gl/4PZ7vx<br><br>infographic:https://figshare.com/articles/TiO2_nanoparticles_surfaces_binding_of_carbon_monoxide_explained/3464075<br><br>slides presentation:https://figshare.com/articles/titanium_dioxide_nanoparticles_the_importance_of_shape_and_exposed_facets_in_surface-molecule_interactions/4056189
DOI: 10.6084/m9.figshare.3428198.v1
title: Carbon Monoxide on TiO2 anatase nanoparticles: IR spectra and donation-backdonation effects

description: supporting data for the article: "<i>On the simple complexity of CO on oxide surfaces: facet-specific donation and backdonation effects revealed on TiO2 anatase nanoparticles"</i><br>published in:ChemPhysChem (2016)doi:10.1002/cphc.201600284<br>Detailed content of the file:1. Experimental methods and results1.1 Materials1.2 XRD 1.3 TEM1.4 IR spectroscopy<br>2. Modeling2.1 Computational methods2.2 Analysis of the electronic structure of CO@TiO2(110) and CO@TiO2(101) 2.2.1 Electronic density of states 2.2.2. Bonding charge density 2.2.3. Validation of the electronic structure calculations <br><br>
DOI: 10.6084/m9.figshare.3428168
title: Surface features of TiO2 nanoparticles

description: Electronic supplementary information for the article:<br>Surface features of TiO2 nanoparticles: combination modes of adsorbed CO probe the stepping of (101) facets.Published in: Phys. Chem. Chem. Phys., 2013, <strong>15</strong>, 13391-13399<br>article DOI: 10.1039/c3cp51524a <br>Detailed list of the contents of the file:(Table S1) Calculated surface energies;(Table S2) Assignment of the IR signals of CO adsorbed on TiO<sub>2</sub>; (Fig. S1) TEM images;(Fig. S2) IR spectra of CO adsorbed at 100 K on TiO<sub>2</sub> HT; (Fig. S3) IR spectra of CO adsorbed at 100 K on TiO<sub>2</sub> HT-HF; (Fig. S4) Calculated participation ratio (PR) for a θ = 1 coverage of CO on (110) TiO<sub>2</sub> anatase slab; (Fig. S5) IR spectra of CO adsorbed at 100 K on TiO<sub>2</sub> P25 outgassed at 573 K.
DOI: 10.6084/m9.figshare.3428168.v1
title: Surface features of TiO2 nanoparticles

description: Electronic supplementary information for the article:<br>Surface features of TiO2 nanoparticles: combination modes of adsorbed CO probe the stepping of (101) facets.Published in: Phys. Chem. Chem. Phys., 2013, <strong>15</strong>, 13391-13399<br>article DOI: 10.1039/c3cp51524a <br>Detailed list of the contents of the file:(Table S1) Calculated surface energies;(Table S2) Assignment of the IR signals of CO adsorbed on TiO<sub>2</sub>; (Fig. S1) TEM images;(Fig. S2) IR spectra of CO adsorbed at 100 K on TiO<sub>2</sub> HT; (Fig. S3) IR spectra of CO adsorbed at 100 K on TiO<sub>2</sub> HT-HF; (Fig. S4) Calculated participation ratio (PR) for a θ = 1 coverage of CO on (110) TiO<sub>2</sub> anatase slab; (Fig. S5) IR spectra of CO adsorbed at 100 K on TiO<sub>2</sub> P25 outgassed at 573 K.
DOI: 10.6084/m9.figshare.3428159
title: Bat skin microbiome: raw sequencing data

description: Raw sequencing data. This experiment was carried out in two sequencing runs (Run1 and Run2). <br>
DOI: 10.6084/m9.figshare.3428159.v1
title: Bat skin microbiome: raw sequencing data

description: Raw sequencing data. This experiment was carried out in two sequencing runs (Run1 and Run2). <br>
DOI: 10.6084/m9.figshare.3428159.v2
title: Bat skin microbiome: raw sequencing data

description: Raw sequencing data. This experiment was carried out in two sequencing runs (Run1 and Run2). <br>
DOI: 10.6084/m9.figshare.3428141
title: Aircraft parameters.xlsx

description: Aircraft parameters of same planes<br>
DOI: 10.6084/m9.figshare.3428108
title: Supplementary data associated with this article.rar

description: <b>Traditional Chinese Medicine (TCM) is increasingly getting clinical application worldwide. But its theory like QI-Blood is still abstract. Actually, Qi deficiency and blood deficiency, which were treated by Si-Jun-Zi-Tang (SJZT) and Si-Wu-Tang (SWT) respectively, have characteristic clinical manifestations. Here, we analyzed targets of the ingredients in SJZT and SWT to unveil potential biologic mechanisms between Qi deficiency and blood deficiency through biomedical approaches. First, ingredients in SWT and SJZT were retrieved from TCMID database. The genes targeted by these ingredients were chosen from STITCH. After enrichment analysis by Gene Ontology (GO) and DAVID, enriched GO terms with p-value less than 0.01 were collected and interpreted through DAVID and KEGG. Then a visualized network was constructed with ClueGO. Finally, a total of 243 genes targeted by 195 ingredients of SWT formula and 209 genes targeted by 61 ingredients of SJZT were obtained. Six </b><b>metabolism pathways and two environmental information processing pathways </b><b>enriched by targets were correlated with two or more herbs in SWT and SJZT formula, respectively. SWT significantly influence amino acid and carbohydrate metabolism. While SJZT mainly influence the organismal system function, environmental information processing, metabolism and cellular processes.</b>
DOI: 10.6084/m9.figshare.3428108.v1
title: Supplementary data associated with this article.rar

description: <b>Traditional Chinese Medicine (TCM) is increasingly getting clinical application worldwide. But its theory like QI-Blood is still abstract. Actually, Qi deficiency and blood deficiency, which were treated by Si-Jun-Zi-Tang (SJZT) and Si-Wu-Tang (SWT) respectively, have characteristic clinical manifestations. Here, we analyzed targets of the ingredients in SJZT and SWT to unveil potential biologic mechanisms between Qi deficiency and blood deficiency through biomedical approaches. First, ingredients in SWT and SJZT were retrieved from TCMID database. The genes targeted by these ingredients were chosen from STITCH. After enrichment analysis by Gene Ontology (GO) and DAVID, enriched GO terms with p-value less than 0.01 were collected and interpreted through DAVID and KEGG. Then a visualized network was constructed with ClueGO. Finally, a total of 243 genes targeted by 195 ingredients of SWT formula and 209 genes targeted by 61 ingredients of SJZT were obtained. Six </b><b>metabolism pathways and two environmental information processing pathways </b><b>enriched by targets were correlated with two or more herbs in SWT and SJZT formula, respectively. SWT significantly influence amino acid and carbohydrate metabolism. While SJZT mainly influence the organismal system function, environmental information processing, metabolism and cellular processes.</b>
DOI: 10.6084/m9.figshare.3428105
title: Pyrosequencing OTU Table

description: Pyrosequencing data from Antarctic soils
DOI: 10.6084/m9.figshare.3428105.v1
title: Pyrosequencing OTU Table

description: Pyrosequencing data from Antarctic soils
DOI: 10.6084/m9.figshare.3428102
title: Soil Extracellular Enzyme Activity

description: Extracellular enzyme data from Antarctic soils.
DOI: 10.6084/m9.figshare.3428102.v1
title: Soil Extracellular Enzyme Activity

description: Extracellular enzyme data from Antarctic soils.
DOI: 10.6084/m9.figshare.3428096
title: TRFLP OTU Table

description: TRFLP microbial fingerprinting data from Antarctic soils.
DOI: 10.6084/m9.figshare.3428096.v1
title: TRFLP OTU Table

description: TRFLP microbial fingerprinting data from Antarctic soils.
DOI: 10.6084/m9.figshare.3428093
title: Site Coordinates

description: GPS coordinates from sampling sites.
DOI: 10.6084/m9.figshare.3428093.v1
title: Site Coordinates

description: GPS coordinates from sampling sites.
DOI: 10.6084/m9.figshare.3428090
title: Soil Geochemistry

description: Geochemistry data from Antarctic soils.
DOI: 10.6084/m9.figshare.3428090.v1
title: Soil Geochemistry

description: Geochemistry data from Antarctic soils.
DOI: 10.6084/m9.figshare.3428072
title: Nectarivorous Bird Plant Visitation Networks in the Andes

description: Matrices of bird-flowering plant interactions observed in the elfin forest of the Andes (Bosque Unchog, Huanuco, Peru). Present quantitative records of visitation of flowering plants by nectarivorous birds. MatricesNectarBirds.xlsx includes all bird visitors (hummingbirds, flowerpiercers and a conebill) that might visit the flowers illegitimately (robbing). MatricesNoRobbers.xlsx exclude nectar robbers (Flowerpiercers and conebills) and illegitimate interactions. Each database presents the observed quantitative matrix; it presents also probability matrices based on the abundance of birds (individuals captured in 100 net-hours) and plants (individuals/Ha); phenology (number of months of presence of birds and plants) and morphology (probability of interaction if the bird's bill is smaller than the plant's corolla. Source: Gonzalez, O. 2015. Bird-flowering plant networks in Andean montane forests. Doctoral dissertation . School of Natural Resources and Environment. University of Florida. Gainesville.
DOI: 10.6084/m9.figshare.3428072.v1
title: Nectarivorous Bird Plant Visitation Networks in the Andes

description: Matrices of bird-flowering plant interactions observed in the elfin forest of the Andes (Bosque Unchog, Huanuco, Peru). Present quantitative records of visitation of flowering plants by nectarivorous birds. MatricesNectarBirds.xlsx includes all bird visitors (hummingbirds, flowerpiercers and a conebill) that might visit the flowers illegitimately (robbing). MatricesNoRobbers.xlsx exclude nectar robbers (Flowerpiercers and conebills) and illegitimate interactions. Each database presents the observed quantitative matrix; it presents also probability matrices based on the abundance of birds (individuals captured in 100 net-hours) and plants (individuals/Ha); phenology (number of months of presence of birds and plants) and morphology (probability of interaction if the bird's bill is smaller than the plant's corolla. Source: Gonzalez, O. 2015. Bird-flowering plant networks in Andean montane forests. Doctoral dissertation . School of Natural Resources and Environment. University of Florida. Gainesville.