cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.1150178
title: Tab f9 - ATGL_PCA_Contributions_TG-species

description: Calculated PCA contributions of whole TG lipidome. The columns indicate the affected principal component. The rows contain the lipid species sorted by their discriminative contribution to the separation to the sample groups. Species supporting separation are at the top and contradicting- and minor contributions are at the bottom of the tables. In this analysis, we investigated each species for its discriminatory effect between the sample groups.
DOI: 10.6084/m9.figshare.1150217.v1
title: Supplementary Material to: Determining regional limits and sectoral constraints for water use

description: Supplementary material to the publication: Tabea K. Lissner, Caroline A. Sullivan, Dominik E. Reusser, and Jürgen P. Kropp (2014): Determining regional limits and sectoral constraints for water use.<br>Hydrol. Earth Syst. Sci. Discuss., 11, 4695-4727. doi: 10.5194/hessd-11-4695-2014. ################################################# Detailed content description: These files contain all results of the single anaylsis steps. Initial input data can be obtained through the sources referenced in the original article. Population data: Population data contains the current and future population per region. For South Africa, scenario values were calculated according to the projected growth rates. - population_indonesia.csv, population_southafrica.csv<br>Total population per administrative units for South Africa and Indonesia for the years 2000 and 2025. Note that values for Indonesia have to be multiplied by 1000. Water availability: ncdf files contain global gridded data on water availability. Filenames indicate the impact model, climate model, RCP scenario, CO2 scenario and variable names. Data on water availability are derived from ISI-MIP simulation. File name conventions follow ISI-MIP the documentation. See also https://www.pik-potsdam.de/research/climate-impacts-and-vulnerabilities/research/rd2-cross-cutting-activities/isi-mip/for-modellers/isi-mip-fast-track/simulation-protocol/simulationprotocol-as-of-2013_04_30_version2.3-1 - qtot_cap_ind.csv, qtot_cap_sa.csv<br>Per capita water availability (total runoff, surface and subsurface) for the baseline (1981-2010 and scenario periods (2011-2040) for RCPs 2.6 and 8.5 and two GCMs for South Africa (sa) and Indonesia (ind). RESULTS - all_results_southafrica.csv, all_results_indonesia.csv<br>Result tables contain all fuzzy values and aggregates for South Africa and Indonesia
DOI: 10.6084/m9.figshare.1150253.v2
title: University of St Andrews APC data 2013-2014

description: This spreadsheet lists the publication level data which details how the University of St Andrews has spent centrally managed Open Access (OA) funds. Article Processing Charges (APCs) are reported from the RCUK and Wellcome Trust Block Grants, and from a small Library OA fund. The reporting period for RCUK compliance purposes is 1 April 2013 to 31 July 2014. The reporting period for Wellcome Trust begins in Oct, so APCs from this fund cover a partial year. The Library OA Fund is limited to fully OA journals only, and was available from July 2013. Notes are provided in the worksheets to clarify details on APCs and licences. (Spreadsheet amended 25/8/2014 to remove duplicate transaction)
DOI: 10.6084/m9.figshare.1150171
title: Tab f8 - ATGL_PCA_Contributions_Lipidome

description: Calculated PCA contributions of whole lipid dropled lipidome. The columns indicate the affected principal component. The rows contain the lipid species sorted by their discriminative contribution to the separation to the sample groups. Species supporting separation are at the top and contradicting- and minor contributions are at the bottom of the tables. In this analysis, we investigated each species for its discriminatory effect between the sample groups.
DOI: 10.6084/m9.figshare.1150178.v1
title: Tab f9 - ATGL_PCA_Contributions_TG-species

description: Calculated PCA contributions of whole TG lipidome. The columns indicate the affected principal component. The rows contain the lipid species sorted by their discriminative contribution to the separation to the sample groups. Species supporting separation are at the top and contradicting- and minor contributions are at the bottom of the tables. In this analysis, we investigated each species for its discriminatory effect between the sample groups.
DOI: 10.6084/m9.figshare.1150168
title: Fig f10 - OPLS-DA-WT-FED_WT-FAS

description: PCA of TG species are candidates for discriminating WT-FED from WT-FAS sample groups. Shown are TG species with positive correlation, negative correlation in O-PLS-DA, and the union of both.
DOI: 10.6084/m9.figshare.1150169
title: Phenotypic profiling data for elucidating genomic gaps

description: Dataset 1. Raw OD600 growth curves (raw_od_curves.csv). MAPs optical density measurements from the plate reader for 96 wells. Numbered headers indicate the time (hrs) and the column contents indicate the OD600 measurement. Dataset 2. Parameters for logistic curves (curve_logistic_parameters.csv). Lag, maximum growth rate, and carrying capacity parameters for the 96 wells. Sum-squared error and growth level are included. Dataset 3. C.sedlakii KBase phenotypes (c.sedlakii_phenotypes.csv). Phenotype csv file required for KBase phenotype simulations. This file specifies media data object name, the KBase workspace, and growth. The gene knockout and additional compound columns were not used and set to none.
DOI: 10.6084/m9.figshare.1150171.v1
title: Tab f8 - ATGL_PCA_Contributions_Lipidome

description: Calculated PCA contributions of whole lipid dropled lipidome. The columns indicate the affected principal component. The rows contain the lipid species sorted by their discriminative contribution to the separation to the sample groups. Species supporting separation are at the top and contradicting- and minor contributions are at the bottom of the tables. In this analysis, we investigated each species for its discriminatory effect between the sample groups.
DOI: 10.6084/m9.figshare.1150253.v4
title: University of St Andrews APC data 2013-2014

description: This spreadsheet lists the publication level data which details how the University of St Andrews has spent centrally managed Open Access (OA) funds. Article Processing Charges (APCs) are reported from the RCUK and Wellcome Trust Block Grants, and from a small Library OA fund. The reporting period for RCUK compliance purposes is 1 April 2013 to 31 July 2014. The reporting period for Wellcome Trust begins in Oct, so APCs from this fund cover a partial year. The Library OA Fund is limited to fully OA journals only, and was available from July 2013. Notes are provided in the worksheets to clarify details on APCs and licences. (Spreadsheet amended 25/8/2014 to remove duplicate transaction)
DOI: 10.6084/m9.figshare.1150169.v1
title: Phenotypic profiling data for elucidating genomic gaps

description: Dataset 1. Raw OD600 growth curves (raw_od_curves.csv). MAPs optical density measurements from the plate reader for 96 wells. Numbered headers indicate the time (hrs) and the column contents indicate the OD600 measurement. Dataset 2. Parameters for logistic curves (curve_logistic_parameters.csv). Lag, maximum growth rate, and carrying capacity parameters for the 96 wells. Sum-squared error and growth level are included. Dataset 3. C.sedlakii KBase phenotypes (c.sedlakii_phenotypes.csv). Phenotype csv file required for KBase phenotype simulations. This file specifies media data object name, the KBase workspace, and growth. The gene knockout and additional compound columns were not used and set to none.
DOI: 10.6084/m9.figshare.1150253.v3
title: University of St Andrews APC data 2013-2014

description: This spreadsheet lists the publication level data which details how the University of St Andrews has spent centrally managed Open Access (OA) funds. Article Processing Charges (APCs) are reported from the RCUK and Wellcome Trust Block Grants, and from a small Library OA fund. The reporting period for RCUK compliance purposes is 1 April 2013 to 31 July 2014. The reporting period for Wellcome Trust begins in Oct, so APCs from this fund cover a partial year. The Library OA Fund is limited to fully OA journals only, and was available from July 2013. Notes are provided in the worksheets to clarify details on APCs and licences. (Spreadsheet amended 25/8/2014 to remove duplicate transaction)
DOI: 10.6084/m9.figshare.1150167
title: Cortisol and progesterone data collected in participants exposed to speech and rejection tasks

description: Explanation of variables: ID represents participants’ numerical code. Task is whether participants engaged in Cyberball (1) or the TSST (2). Condition represents the Stress (1) or Control (2) version of either Task. Group is coded based on which of the four condition combinations individuals were randomized to: Cyberball Stress (1), Cyberball Control (2), TSST Stress (3), TSST Control (4). HBC is used to represent whether or not participants were taking hormonal birth control (1) or not (0). Sex is coded for Men (1) and Women (0).<br>All six individual cortisol and progesterone measurements are included (Cort1 - Cort6; Prog1 – Prog6). AUCi for each hormone (CortisolAUCi; ProgesteroneAUCi) was calculated based on the six measurements and the time at which the samples were provided (see Pruessner et al., 2003).<br>All participants who engaged in either Cyberball Condition responded to 16 questions about their experience playing Cyberball, immediately after the game. Responses were recorded on a Likert scale (ranging from 1= “Not at all” to 9 = “Very much so”). Questions included: To what degree were you accepted or rejected? (PostCBQ1), To what extent did the other participants include you during the game? (PostCBQ2), To what extent did the other participants exclude you during the game? (PostCBQ3), I felt as though I had made a “connection” or bonded with one or more of the participants during the Cyberball game. (PostCBQ4), I felt like an outsider during the Cyberball game. (PostCBQ5), I felt that I was able to throw the ball as often as I wanted during the game (PostCBQ6), I felt somewhat frustrated during the Cyberball game (PostCBQ7), I felt in control during the Cyberball game. (PostCBQ8), During the Cyberball game, I felt good about myself (PostCBQ9), I felt that the other participants failed to perceive me as a worthy and likeable person (PostCBQ10), I felt somewhat inadequate during the Cyberball game. (PostCBQ11), I felt that my performance [e.g., catching the ball, deciding whom to throw the ball to] had some effect on the direction of the game (PostCBQ12), I felt non-existent during the Cyberball game (PostCBQ13), I felt as though my existence was meaningless during the Cyberball game (PostCBQ14), I felt angry during the game (PostCBQ15), and I enjoyed playing the game (PostCBQ16.)
DOI: 10.6084/m9.figshare.1150168.v1
title: Fig f10 - OPLS-DA-WT-FED_WT-FAS

description: PCA of TG species are candidates for discriminating WT-FED from WT-FAS sample groups. Shown are TG species with positive correlation, negative correlation in O-PLS-DA, and the union of both.
DOI: 10.6084/m9.figshare.1150150
title: Tab f6 - ATGL_PCA_Loadings_Lipidome-TG-DG-PC-species

description: The columns indicate the principal component affected and whether the contribution is positive or negative (e.g. PC1- contributes to a more negative outcome). The rows correspond to individual lipid species that are sorted by the absolute value of their loadings.
DOI: 10.6084/m9.figshare.1150136
title: unpublished

description: unpublished
DOI: 10.6084/m9.figshare.1150167.v1
title: Cortisol and progesterone data collected in participants exposed to speech and rejection tasks

description: Explanation of variables: ID represents participants’ numerical code. Task is whether participants engaged in Cyberball (1) or the TSST (2). Condition represents the Stress (1) or Control (2) version of either Task. Group is coded based on which of the four condition combinations individuals were randomized to: Cyberball Stress (1), Cyberball Control (2), TSST Stress (3), TSST Control (4). HBC is used to represent whether or not participants were taking hormonal birth control (1) or not (0). Sex is coded for Men (1) and Women (0).<br>All six individual cortisol and progesterone measurements are included (Cort1 - Cort6; Prog1 – Prog6). AUCi for each hormone (CortisolAUCi; ProgesteroneAUCi) was calculated based on the six measurements and the time at which the samples were provided (see Pruessner et al., 2003).<br>All participants who engaged in either Cyberball Condition responded to 16 questions about their experience playing Cyberball, immediately after the game. Responses were recorded on a Likert scale (ranging from 1= “Not at all” to 9 = “Very much so”). Questions included: To what degree were you accepted or rejected? (PostCBQ1), To what extent did the other participants include you during the game? (PostCBQ2), To what extent did the other participants exclude you during the game? (PostCBQ3), I felt as though I had made a “connection” or bonded with one or more of the participants during the Cyberball game. (PostCBQ4), I felt like an outsider during the Cyberball game. (PostCBQ5), I felt that I was able to throw the ball as often as I wanted during the game (PostCBQ6), I felt somewhat frustrated during the Cyberball game (PostCBQ7), I felt in control during the Cyberball game. (PostCBQ8), During the Cyberball game, I felt good about myself (PostCBQ9), I felt that the other participants failed to perceive me as a worthy and likeable person (PostCBQ10), I felt somewhat inadequate during the Cyberball game. (PostCBQ11), I felt that my performance [e.g., catching the ball, deciding whom to throw the ball to] had some effect on the direction of the game (PostCBQ12), I felt non-existent during the Cyberball game (PostCBQ13), I felt as though my existence was meaningless during the Cyberball game (PostCBQ14), I felt angry during the game (PostCBQ15), and I enjoyed playing the game (PostCBQ16.)
DOI: 10.6084/m9.figshare.1150150.v1
title: Tab f6 - ATGL_PCA_Loadings_Lipidome-TG-DG-PC-species

description: The columns indicate the principal component affected and whether the contribution is positive or negative (e.g. PC1- contributes to a more negative outcome). The rows correspond to individual lipid species that are sorted by the absolute value of their loadings.
DOI: 10.6084/m9.figshare.1150136.v1
title: Pacing strategies during an ultra-marathon running event in hilly terrain

description: De-identified GPS data sets of race data used in the article "Pacing strategies during an ultra-marathon running event in hilly terrain" (15 files)
DOI: 10.6084/m9.figshare.1150136.v2
title: Unpublished

description: Unpublished
DOI: 10.6084/m9.figshare.1149986
title: MS Silverlight App Showing Complex Color Motion Illusions

description: This fileset contains a Microsot Silverlight 2 application which will run on Windows PCs and MACs. The application demonstrates complex color motion standstill and capture illusions. Downnload all the files and extract them into a common directory. Open the file "ColorIllusionsStartFile.html" using your browser (Internet Explorer, Firefox, Google Chrome or Safari). If the Silverlight Plugin is not already installed, your are asked to install it. The application will start by showing a sector wheel underneath a random dot pattern. The physically turning wheel appears as standing still, i.e. the color standstill illusion. You may have to change the color settings to perceive the wheel as motion-less. Click on the marker checkbox to reveal the wheels motion. Press the "Mode"-button to chage to the 'color capture llusions' or to normal rotation. The listbox in the left upper corner changes the type of the color stimulus and/or its motion, the lower listbox changes the type of random dot pattern. Use the periodic Random Dots (RD) for rings. The flicker checkbox allows you to produce a dynamic noise by translating, rotating and scaling the random dot pattern. Uncheck this box before changing modes or figures or stimulus parameters..
DOI: 10.6084/m9.figshare.1150136.v3
title: Optimising non-differential Global Positioning System based measurements for trail ultramarathon running applications

description: GPS data sets for the three UM events described in the Kerherve et al. article.
DOI: 10.6084/m9.figshare.1149981
title: Rocco: an example metagenome dataset for the mmgenome R package

description: Rocco: an example metagenome dataset for the mmgenome R package
DOI: 10.6084/m9.figshare.1149986.v1
title: Application Showing Complex Color Motion Illusion

description: This fileset contains a Microsot Silverlight 2 application which will run on Windows PCs and MACs. The application demonstrates complex color motion standstill and capture illusions. Downnload all the files into a common directory. Open the file "ColorIllusionsStartFile.html" using your browser (Internet Explorer, Firefox, Google Chrom or Safari). If the Silverlight Plugin is not already installed, your are asked to install it. The application will start by showing a sector wheel underneath a random dot pattern. The physically turning wheel appears as standing still, i.e. the color standstill illusion. You may have to change the color settings to perceive the wheel as motion-less. Click on the marker checkbox to reveal the wheels motion. Press the "Mode"-button to chage to the 'color capture llusions' or to normal rotation. The listbox in the left upper corner chnages the type of the color stimulus and/or its motion, the lower listbox changes the type of random dot pattern. Use the periodic Random Dots (RD) for rings. The flicker checkbox allows you to produce a dynamic noise by translating, rotating and scaling the random dot pattern. Uncheck this box before changing modes or figures.
DOI: 10.6084/m9.figshare.1150136.v4
title: unpublished

description: unpublished
DOI: 10.6084/m9.figshare.1149979
title: Fact or Fiction - Hunchback hypothesis_JESP Pre_reg

description: In this investigation we test the existence of the 'Hunchback Stereotype' and then test whether it matches reality or not. Hunchback stereotype is the tendency for perceivers to overestimate the emotional expressivity of members of low status groups compared to their higher status counterparts.
DOI: 10.6084/m9.figshare.1150136.v6
title: unpublished

description: unpublished
DOI: 10.6084/m9.figshare.1149986.v3
title: MS Silverlight App Showing Complex Color Motion Illusions

description: This fileset contains a Microsot Silverlight 2 application which will run on Windows PCs and MACs. The application demonstrates complex color motion standstill and capture illusions. Downnload all the files and extract them into a common directory. Open the file "ColorIllusionsStartFile.html" using your browser (Internet Explorer, Firefox, Google Chrome or Safari). If the Silverlight Plugin is not already installed, your are asked to install it. The application will start by showing a sector wheel underneath a random dot pattern. The physically turning wheel appears as standing still, i.e. the color standstill illusion. You may have to change the color settings to perceive the wheel as motion-less. Click on the marker checkbox to reveal the wheels motion. Press the "Mode"-button to chage to the 'color capture llusions' or to normal rotation. The listbox in the left upper corner changes the type of the color stimulus and/or its motion, the lower listbox changes the type of random dot pattern. Use the periodic Random Dots (RD) for rings. The flicker checkbox allows you to produce a dynamic noise by translating, rotating and scaling the random dot pattern. Uncheck this box before changing modes or figures or stimulus parameters..
DOI: 10.6084/m9.figshare.1150136.v5
title: unpublished

description: unpublished
DOI: 10.6084/m9.figshare.1149966
title: Algoritmos de Ordenação

description: Evaluation of the following sort algorithms: Bubble Sort, Heap Sort, Insertion Sort, Merge Sort, Quick Sort, Selection Sort and Shell Sort. More info at: http://helderc.net
DOI: 10.6084/m9.figshare.1149978
title: Supplementary Document_JESP Pre.reg [fact or fiction]

description: In this investigation we test the existence of the 'Hunchback Stereotype' and then test whether it matches reality or not. Hunchback stereotype is the tendency for perceivers to overestimate the emotional expressivity of members of low status groups compared to their higher status counterparts.
DOI: 10.6084/m9.figshare.1149978.v1
title: Supplementary Document_JESP Pre.reg [fact or fiction]

description: In this investigation we test the existence of the 'Hunchback Stereotype' and then test whether it matches reality or not. Hunchback stereotype is the tendency for perceivers to overestimate the emotional expressivity of members of low status groups compared to their higher status counterparts.
DOI: 10.6084/m9.figshare.1149986.v2
title: MS Silverlight App Showing Complex Color Motion Illusion

description: This fileset contains a Microsot Silverlight 2 application which will run on Windows PCs and MACs. The application demonstrates complex color motion standstill and capture illusions. Downnload all the files into a common directory. Open the file "ColorIllusionsStartFile.html" using your browser (Internet Explorer, Firefox, Google Chrom or Safari). If the Silverlight Plugin is not already installed, your are asked to install it. The application will start by showing a sector wheel underneath a random dot pattern. The physically turning wheel appears as standing still, i.e. the color standstill illusion. You may have to change the color settings to perceive the wheel as motion-less. Click on the marker checkbox to reveal the wheels motion. Press the "Mode"-button to chage to the 'color capture llusions' or to normal rotation. The listbox in the left upper corner chnages the type of the color stimulus and/or its motion, the lower listbox changes the type of random dot pattern. Use the periodic Random Dots (RD) for rings. The flicker checkbox allows you to produce a dynamic noise by translating, rotating and scaling the random dot pattern. Uncheck this box before changing modes or figures.
DOI: 10.6084/m9.figshare.1149962
title: Lancichinetti-Fortunato-Radicchi (LFR) benchmark

description: This program is an implementation of the algorithm described in the paper "Directed, weighted and overlapping benchmark graphs for community detection algorithms", written by Andrea Lancichinetti and Santo Fortunato. In particular, this program is to produce binary networks with overlapping nodes.<br><br>
DOI: 10.6084/m9.figshare.1149965
title: Uncovering Community Structures with Initialized Bayesian Nonnegative Matrix Factorization

description: This the network dataset used in my paper: Uncovering Community Structures with Initialized Bayesian Nonnegative Matrix Factorization. Please consulte the authors and ask permission to use these data. If you make use of any of these data, please cite the original sources.
DOI: 10.6084/m9.figshare.1149965.v1
title: Uncovering Community Structures with Initialized Bayesian Nonnegative Matrix Factorization

description: This the network dataset used in my paper: Uncovering Community Structures with Initialized Bayesian Nonnegative Matrix Factorization. Please consulte the authors and ask permission to use these data. If you make use of any of these data, please cite the original sources.
DOI: 10.6084/m9.figshare.1149960
title: GN network

description: This is GN benchmarks created by Zhang zhongyuan. If you use the codes, please make reference to: Zhong-Yuan Zhang, Yong Wang, and Yong-Yeol Ahn. "Overlapping Community Detection in Complex Networks using Symmetric Binary Matrix Factorization." arXiv preprint arXiv:1303.5855 (2013).
DOI: 10.6084/m9.figshare.1149979.v2
title: Fact or Fiction - Hunchback hypothesis_JESP Pre_reg

description: In this investigation we test the existence of the 'Hunchback Stereotype' and then test whether it matches reality or not. Hunchback stereotype is the tendency for perceivers to overestimate the emotional expressivity of members of low status groups compared to their higher status counterparts.