cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12154233
title: Supplementary Data for Bennu gravity field analysis

description: This dataset contains supporting information for the paper: D. J. Scheeres, A. S. French, P. Tricarico, S. R. Chesley, Y. Takahashi, D. Farnocchia, J. W. McMahon, D. N. Brack, A. B. Davis, R.-L. Ballouz, E. R. Jawin, B. Rozitis, J. P. Emery, A. J. Ryan, R. S. Park, B. P. Rush, N. Mastrodemos, B. M. Kennedy, J. Bellerose, D. P. Lubey, D. Velez, A. T. Vaughan, J. M. Leonard, J. Geeraert, B. Page, P. Antreasian, E. Mazarico, K. Getzandanner, D. Rowlands, M. C. Moreau, J. Small, D. E. Highsmith, S. Goossens, E. E. Palmer, J. R. Weirich, R. W. Gaskell, O. S. Barnouin, M. G. Daly, J. A. Seabrook, M. M. Al Asad, L. C. Philpott, C. L. Johnson, C. M. Hartzell, V. E. Hamilton, P. Michel, K. J. Walsh, M. C. Nolan, D. S. Lauretta, Heterogeneous mass distribution of the rubble-pile asteroid (101955) Bennu. Sci. Adv. 6, eabc3350 (2020).<br><br>It includes the Bennu shape model used to perform our analysis in *.obj format, consisting of vertices and face definitions. <br>It includes a Matlab file giving the spacecraft-derived gravity field for asteroid Bennu. This file was created by the OSIRIS-REx Radio Science Working Group Team, based on analysis performed at the Jet Propulsion Laboratory. In addition to the gravity field coefficients, the file also contains the associated covariance and other data related to the gravity field solution.
DOI: 10.6084/m9.figshare.12154233.v2
title: Supplementary Data for Bennu gravity field analysis

description: This dataset contains supporting information for the paper: D. J. Scheeres, A. S. French, P. Tricarico, S. R. Chesley, Y. Takahashi, D. Farnocchia, J. W. McMahon, D. N. Brack, A. B. Davis, R.-L. Ballouz, E. R. Jawin, B. Rozitis, J. P. Emery, A. J. Ryan, R. S. Park, B. P. Rush, N. Mastrodemos, B. M. Kennedy, J. Bellerose, D. P. Lubey, D. Velez, A. T. Vaughan, J. M. Leonard, J. Geeraert, B. Page, P. Antreasian, E. Mazarico, K. Getzandanner, D. Rowlands, M. C. Moreau, J. Small, D. E. Highsmith, S. Goossens, E. E. Palmer, J. R. Weirich, R. W. Gaskell, O. S. Barnouin, M. G. Daly, J. A. Seabrook, M. M. Al Asad, L. C. Philpott, C. L. Johnson, C. M. Hartzell, V. E. Hamilton, P. Michel, K. J. Walsh, M. C. Nolan, D. S. Lauretta, Heterogeneous mass distribution of the rubble-pile asteroid (101955) Bennu. Sci. Adv. 6, eabc3350 (2020).<br><br>It includes the Bennu shape model used to perform our analysis in *.obj format, consisting of vertices and face definitions. <br>It includes a Matlab file giving the spacecraft-derived gravity field for asteroid Bennu. This file was created by the OSIRIS-REx Radio Science Working Group Team, based on analysis performed at the Jet Propulsion Laboratory. In addition to the gravity field coefficients, the file also contains the associated covariance and other data related to the gravity field solution.
DOI: 10.4228/zalf.2009.102
title: Weather Data 2009, Ziethen, Germany

description: The automatic weather station Ziethen was installed in 1993 by the Leibniz-Centre for Agricultural Landscape Research (ZALF) e.V. and is managed by the Institute of Landscape System Analysis. The station is located within the municipality Ziethen, district Barnim, state Brandenburg, Germany. Location: Altitude in meter: 56 NN, Geographic latitude: 52,9600N, Geographic longitude: 13,8959 Type: FMA 186 Lambrecht weather station. In 2009, data have been collected for: soil temperature in 5 cm depth (°C) ; soil temperature in 50cm depth (°C); soil temperature in 20cm depth (°C); global radiation (J/cm²); air temperature, 2m above ground (°C); air temperature, 20cm above ground (°C); precipitation (mm); relative humidity (%); evaporation (mm); wind velocity (m/sec);
DOI: 10.5281/zenodo.4047986
title: Datasets for the team orienteering problem (TOP) and generalized team orienteering problem (GTOP)

description: The six datasets are used in the following paper: Wenzheng Xu , Weifa Liang, Zichuan Xu, Jian Peng, Dezhong Peng, Tang Liu, Xiaohua Jia, and Sajal K. Das,“Approximation algorithms for the generalized team orienteering problem and its applications,”<em><strong>which was submitted to journal</strong> </em>IEEE/ACM Transactions on Networking (ToN) . Specific descriptions for the datasets: <strong>1. GTOP-chargingPerformanceTable.xlsx</strong>: the performance comparison of different algorithms in rechargable sensor networks. Some results were published in the following paper: Wenzheng Xu, Zichuan Xu, Jian Peng, Weifa Liang, Tang Liu, Xiaohua Jia, and Sajal K. Das,“Approximation algorithms for the team orienteering problem,”in Proc. 39th IEEE International Conference on Computer Communications (INFOCOM), 2020, pp. 1389–1398. <strong>2.</strong> <strong>GTOP-chargingTestInstances.rar</strong>: the test instances of rechargable sensor networks. <strong>3. GTOP-uavNetworkPerformanceTable.xlsx</strong>: the performance comparison of different algorithms in UAV networks for monitoring disaster areas. <strong>4.</strong> <strong>GTOP-UAVnetworkTestInstances.rar</strong>: the test instances for the GTOP problem in UAV networks. <strong>5. </strong> <strong>TOP-157instances-original.rar</strong>: 157 test instances for the team orienteering problem, which are also available at: https://w1.cirrelt.ca/~vidalt/en/VRP-resources.html <strong>6. TOP-performance.pdf</strong>: the performance comparison of different algorithms for the TOP problems, which is also available at: https://w1.cirrelt.ca/~vidalt/en/VRP-resources.html Please provide reference to Thibaut VIDAL, https://w1.cirrelt.ca/~vidalt/en/VRP-resources.html, if you use datasets 5 and 6.
DOI: 10.5281/zenodo.4047985
title: Datasets for the team orienteering problem (TOP) and generalized team orienteering problem (GTOP)

description: The six datasets are used in the following paper: Wenzheng Xu , Weifa Liang, Zichuan Xu, Jian Peng, Dezhong Peng, Tang Liu, Xiaohua Jia, and Sajal K. Das,“Approximation algorithms for the generalized team orienteering problem and its applications,”<em><strong>which was submitted to journal</strong> </em>IEEE/ACM Transactions on Networking (ToN) . Specific descriptions for the datasets: <strong>1. GTOP-chargingPerformanceTable.xlsx</strong>: the performance comparison of different algorithms in rechargable sensor networks. Some results were published in the following paper: Wenzheng Xu, Zichuan Xu, Jian Peng, Weifa Liang, Tang Liu, Xiaohua Jia, and Sajal K. Das,“Approximation algorithms for the team orienteering problem,”in Proc. 39th IEEE International Conference on Computer Communications (INFOCOM), 2020, pp. 1389–1398. <strong>2.</strong> <strong>GTOP-chargingTestInstances.rar</strong>: the test instances of rechargable sensor networks. <strong>3. GTOP-uavNetworkPerformanceTable.xlsx</strong>: the performance comparison of different algorithms in UAV networks for monitoring disaster areas. <strong>4.</strong> <strong>GTOP-UAVnetworkTestInstances.rar</strong>: the test instances for the GTOP problem in UAV networks. <strong>5. </strong> <strong>TOP-157instances-original.rar</strong>: 157 test instances for the team orienteering problem, which are also available at: https://w1.cirrelt.ca/~vidalt/en/VRP-resources.html <strong>6. TOP-performance.pdf</strong>: the performance comparison of different algorithms for the TOP problems, which is also available at: https://w1.cirrelt.ca/~vidalt/en/VRP-resources.html Please provide reference to Thibaut VIDAL, https://w1.cirrelt.ca/~vidalt/en/VRP-resources.html, if you use datasets 5 and 6.
DOI: 10.25442/hku.12961526
title: Supporting data for “Activation of Non-current Language in Bilinguals Facilitates the Implicit Learning of Novel Form-Meaning Connections”.

description: Reaction time and accuracy data were collected in this dataset, which contains four files. The first and second files contain the reaction time and accuracy data from Experiment 1, respectively. There were two language groups in the first two files: Cantonese-English bilinguals and native English speakers. Both language groups completed a computer-based experiment by performing judgement tasks. Specifically, they judged whether the stimuli were water- or fire-related by pressing the corresponding buttons. There were 4 blocks in the experiment and it took 30-40 minutes to accomplish.<br>The third and fourth files contain reaction time data and accuracy data from Experiment 2, respectively. These data sheets only have Cantonese-English bilinguals. This bilingual group went through the same process and were presented the same experimental materials as Experiment 1. The only difference was this bilingual group watched a 30-minute English video before the experiment.
DOI: 10.25442/hku.12961526.v1
title: Supporting data for “Activation of Non-current Language in Bilinguals Facilitates the Implicit Learning of Novel Form-Meaning Connections”.

description: Reaction time and accuracy data were collected in this dataset, which contains four files. The first and second files contain the reaction time and accuracy data from Experiment 1, respectively. There were two language groups in the first two files: Cantonese-English bilinguals and native English speakers. Both language groups completed a computer-based experiment by performing judgement tasks. Specifically, they judged whether the stimuli were water- or fire-related by pressing the corresponding buttons. There were 4 blocks in the experiment and it took 30-40 minutes to accomplish.<br>The third and fourth files contain reaction time data and accuracy data from Experiment 2, respectively. These data sheets only have Cantonese-English bilinguals. This bilingual group went through the same process and were presented the same experimental materials as Experiment 1. The only difference was this bilingual group watched a 30-minute English video before the experiment.
DOI: 10.18112/openneuro.ds003178.v1.0.0
title: Early Language Project
DOI: 10.21227/1j4a-k723
title: Priority Differentiation Dataset

description: Wide area control (WAC) in smart grid requires low-latency communications across the grid to transfer various control commands and Phasor Measurement Unit (PMU) measurements. Smart grid communications are generally implemented between multiple control centers, transformer substations and control centers, and power plants and control centers. While there have been a number of international standards for smart grid communications, detailed methods have not been speciﬁed in existing standards for low-latency transmission of different types of application data, particularly high-priority control commands, between control centers. To fulﬁll this requirement, a priority differentiation approach is presented in this paper for low-latency communications between control centers. With two application-layer queues, it incorporates a cross-layer design between the application layer and data-link layer to keep the delay of high-priority packets to the possible minimum. Simulation results in typical scenarios show a reduced communication latency of about 45% for high-priority packets when our approach is incorporated with existing communication technologies.
DOI: 10.21227/yn8z-9f27
title: Priority Differentiation Dataset

description: Wide area control (WAC) in smart grid requires low-latency communications across the grid to transfer various control commands and Phasor Measurement Unit (PMU) measurements. Smart grid communications are generally implemented between multiple control centers, transformer substations and control centers, and power plants and control centers. While there have been a number of international standards for smart grid communications, detailed methods have not been speciﬁed in existing standards for low-latency transmission of different types of application data, particularly high-priority control commands, between control centers. To fulﬁll this requirement, a priority differentiation approach is presented in this paper for low-latency communications between control centers. With two application-layer queues, it incorporates a cross-layer design between the application layer and data-link layer to keep the delay of high-priority packets to the possible minimum. Simulation results in typical scenarios show a reduced communication latency of about 45% for high-priority packets when our approach is incorporated with existing communication technologies.
DOI: 10.21227/hfn1-h143
title: Priority Differentiation Dataset

description: Wide area control (WAC) in smart grid requires low-latency communications across the grid to transfer various control commands and Phasor Measurement Unit (PMU) measurements. Smart grid communications are generally implemented between multiple control centers, transformer substations and control centers, and power plants and control centers. While there have been a number of international standards for smart grid communications, detailed methods have not been speciﬁed in existing standards for low-latency transmission of different types of application data, particularly high-priority control commands, between control centers. To fulﬁll this requirement, a priority differentiation approach is presented in this paper for low-latency communications between control centers. With two application-layer queues, it incorporates a cross-layer design between the application layer and data-link layer to keep the delay of high-priority packets to the possible minimum. Simulation results in typical scenarios show a reduced communication latency of about 45% for high-priority packets when our approach is incorporated with existing communication technologies.
DOI: 10.6084/m9.figshare.13004051.v1
title: Additional file 1 of Comparison of terrestrial and Martian TEC at dawn and dusk during solstices

description: Additional file 1: Huber regressor linear fit parameters, as well as the medians and quartiles of the difference between the linear fits and observations for each Terrestrial and Martian season, SZA region, MY, and location region as a CSV file.
DOI: 10.6084/m9.figshare.12788589
title: Additional file 2 of Characteristics of non-conveyed patients in emergency medical services (EMS): a one-year prospective descriptive and comparative study in a region of Sweden

description: Additional file 2. Normal vital signs.
DOI: 10.6084/m9.figshare.12788589.v1
title: Additional file 2 of Characteristics of non-conveyed patients in emergency medical services (EMS): a one-year prospective descriptive and comparative study in a region of Sweden

description: Additional file 2. Normal vital signs.
DOI: 10.6084/m9.figshare.13004126
title: Additional file 4 of Identification of key genes and functions of circulating tumor cells in multiple cancers through bioinformatic analysis

description: Additional file 4: Table S4.
DOI: 10.6084/m9.figshare.13004126.v1
title: Additional file 4 of Identification of key genes and functions of circulating tumor cells in multiple cancers through bioinformatic analysis

description: Additional file 4: Table S4.
DOI: 10.6084/m9.figshare.13004155
title: Additional file 4 of Antibody responses to a suite of novel serological markers for malaria surveillance demonstrate strong correlation with clinical and parasitological infection across seasons and transmission settings in The Gambia

description: Additional file 4. Gambia serology endpoints study data.
DOI: 10.6084/m9.figshare.12414035.v1
title: Additional file 1 of Working memory and decision making in children with ADHD: an analysis of delay discounting with the use of the dual-task paradigm

description: Additional file 1 Table S1.1 Complete Participants’ Demographic Data and Assessment Scores. Table S2 Complete Experimental Data. Table S3.1 Multivariate Test, k in weeks. Table S3.2 Mauchly’s Test of Sphericity. Table S3.3 Tests of Within-Subjects Effects and Between-Subjects Effect, k in weeks. Table S3.4 Pairwise Comparisons, k in weeks. Table S3.5 Parameter Estimates, k in weeks. Table S4. Tests of Between-Subjects Effects, Preliminary ANOVA using Digit Span as a Covariate. Table S5. Correlation among Demographic and Outcome Variables. Table S6. Group Comparison among Different Conditions. Table S7.1 Multivariate Test, k computed using ranked delays. Table S7.2 Mauchly’s Test of Sphericity, k computed using ranked delays. Table S7.3 Tests of Within-Subjects Effects and Between-Subjects Effect, k computed using ranked delays. Table S8.1 Multivariate Test, Using Number of Delayed Choices as a Dependent Variable. Table S8.2 Mauchly’s Test of Sphericity, Using Number of Delayed Choices as a Dependent Variable. Table S8.3 Tests of Within-Subjects Effects and Between-Subjects Effect, Using Number of Delayed Choices as a Dependent Variable. Table S9.1 Multivariate Test, Using ln(k) as a Dependent Variable. Table S9.2 Mauchly’s Test of Sphericity, Using ln(k) as a Dependent Variable. Table S9.3 Tests of Within-Subjects Effects and Between-Subjects Effect, Using ln(k) as a Dependent Variable. Table S10. Group Comparison of Delayed Choice among Different Conditions.
DOI: 10.6084/m9.figshare.13004033.v1
title: Zhuhai.mat

description: Time series data in Zhuhai experiment. Zhuhai.mat: column 1:6 represent data and time (Beijing), column 7-12 represent measurements of PM1, PM2.5, num0.3-0.5, num0.5-1.0, num1.0-2.5, num2.5-5.0 respectively.<br>
DOI: 10.6084/m9.figshare.13004155.v1
title: Additional file 4 of Antibody responses to a suite of novel serological markers for malaria surveillance demonstrate strong correlation with clinical and parasitological infection across seasons and transmission settings in The Gambia

description: Additional file 4. Gambia serology endpoints study data.
DOI: 10.6084/m9.figshare.12414035
title: Additional file 1 of Working memory and decision making in children with ADHD: an analysis of delay discounting with the use of the dual-task paradigm

description: Additional file 1 Table S1.1 Complete Participants’ Demographic Data and Assessment Scores. Table S2 Complete Experimental Data. Table S3.1 Multivariate Test, k in weeks. Table S3.2 Mauchly’s Test of Sphericity. Table S3.3 Tests of Within-Subjects Effects and Between-Subjects Effect, k in weeks. Table S3.4 Pairwise Comparisons, k in weeks. Table S3.5 Parameter Estimates, k in weeks. Table S4. Tests of Between-Subjects Effects, Preliminary ANOVA using Digit Span as a Covariate. Table S5. Correlation among Demographic and Outcome Variables. Table S6. Group Comparison among Different Conditions. Table S7.1 Multivariate Test, k computed using ranked delays. Table S7.2 Mauchly’s Test of Sphericity, k computed using ranked delays. Table S7.3 Tests of Within-Subjects Effects and Between-Subjects Effect, k computed using ranked delays. Table S8.1 Multivariate Test, Using Number of Delayed Choices as a Dependent Variable. Table S8.2 Mauchly’s Test of Sphericity, Using Number of Delayed Choices as a Dependent Variable. Table S8.3 Tests of Within-Subjects Effects and Between-Subjects Effect, Using Number of Delayed Choices as a Dependent Variable. Table S9.1 Multivariate Test, Using ln(k) as a Dependent Variable. Table S9.2 Mauchly’s Test of Sphericity, Using ln(k) as a Dependent Variable. Table S9.3 Tests of Within-Subjects Effects and Between-Subjects Effect, Using ln(k) as a Dependent Variable. Table S10. Group Comparison of Delayed Choice among Different Conditions.
DOI: 10.6084/m9.figshare.13004170
title: Additional file 3 of Intra-species variation within Lactobacillus rhamnosus correlates to beneficial or harmful outcomes: lessons from the oral cavity

description: Additional file 3: Table S3.
DOI: 10.6084/m9.figshare.13004170.v1
title: Additional file 3 of Intra-species variation within Lactobacillus rhamnosus correlates to beneficial or harmful outcomes: lessons from the oral cavity

description: Additional file 3: Table S3.
DOI: 10.6084/m9.figshare.13004179
title: Additional file 3 of Multiple omics analysis reveals that high fiber diets promote gluconeogenesis and inhibit glycolysis in muscle

description: Additional file 3. Differentially expressed genes between muscle tissues of sheep fed HFLP and LFHP diets.
DOI: 10.6084/m9.figshare.13004179.v1
title: Additional file 3 of Multiple omics analysis reveals that high fiber diets promote gluconeogenesis and inhibit glycolysis in muscle

description: Additional file 3. Differentially expressed genes between muscle tissues of sheep fed HFLP and LFHP diets.
DOI: 10.6084/m9.figshare.13004215.v1
title: Additional file 7 of Interleukin (IL)-25 suppresses IL-22-induced osteoclastogenesis in rheumatoid arthritis via STAT3 and p38 MAPK/IκBα pathway

description: Additional file 7: Supplementary Figure 6. Raw western blot data of Fig. 3 (IL-25 pre-treatment with IL-22 stimulation on RA synovial fibroblast).
DOI: 10.6084/m9.figshare.13004221.v1
title: Additional file 9 of Interleukin (IL)-25 suppresses IL-22-induced osteoclastogenesis in rheumatoid arthritis via STAT3 and p38 MAPK/IκBα pathway

description: Additional file 9: Supplementary Figure 8. Raw western blot data of Fig. 4 (IL-25 pre-treatment with IL-22 stimulation on PBMC).
DOI: 10.6084/m9.figshare.13004218
title: Additional file 8 of Interleukin (IL)-25 suppresses IL-22-induced osteoclastogenesis in rheumatoid arthritis via STAT3 and p38 MAPK/IκBα pathway

description: Additional file 8: Supplementary Figure 7-1. Effects of IL-25 stimulation without IL-22 on RA synovial fibroblasts (A) Immunoblotting of p-stat3, stat3, p-P38, P38, p-IκB-α, IκB-α, and beta-actin in the RA synovial fibroblasts with IL-25 single stimulation (10, 50, 100 ng/ml) for 4 hrs. (B) Data were normalized to beta actin and reported in relative expression units. Bars show the mean ± SEM of 3 independent experiments. *P &lt; 0.05, **P &lt; 0.01, and ***P &lt; 0.001. Supplementary Figure 7-2 to 5. Raw western blot data (IL-25 single stimulation on RA synovial fibroblast).
DOI: 10.6084/m9.figshare.13004218.v1
title: Additional file 8 of Interleukin (IL)-25 suppresses IL-22-induced osteoclastogenesis in rheumatoid arthritis via STAT3 and p38 MAPK/IκBα pathway

description: Additional file 8: Supplementary Figure 7-1. Effects of IL-25 stimulation without IL-22 on RA synovial fibroblasts (A) Immunoblotting of p-stat3, stat3, p-P38, P38, p-IκB-α, IκB-α, and beta-actin in the RA synovial fibroblasts with IL-25 single stimulation (10, 50, 100 ng/ml) for 4 hrs. (B) Data were normalized to beta actin and reported in relative expression units. Bars show the mean ± SEM of 3 independent experiments. *P &lt; 0.05, **P &lt; 0.01, and ***P &lt; 0.001. Supplementary Figure 7-2 to 5. Raw western blot data (IL-25 single stimulation on RA synovial fibroblast).
DOI: 10.6084/m9.figshare.13004221
title: Additional file 9 of Interleukin (IL)-25 suppresses IL-22-induced osteoclastogenesis in rheumatoid arthritis via STAT3 and p38 MAPK/IκBα pathway

description: Additional file 9: Supplementary Figure 8. Raw western blot data of Fig. 4 (IL-25 pre-treatment with IL-22 stimulation on PBMC).
DOI: 10.6084/m9.figshare.13004231
title: Additional file 2 of Siberian larch (Larix sibirica Ledeb.) mitochondrial genome assembled using both short and long nucleotide sequence reads is currently the largest known mitogenome

description: Additional file 2. Plasmids matching inserts in the nine Siberian larch mitogenome contigs and their NCBI GenBank accession numbers.
DOI: 10.6084/m9.figshare.13004215
title: Additional file 7 of Interleukin (IL)-25 suppresses IL-22-induced osteoclastogenesis in rheumatoid arthritis via STAT3 and p38 MAPK/IκBα pathway

description: Additional file 7: Supplementary Figure 6. Raw western blot data of Fig. 3 (IL-25 pre-treatment with IL-22 stimulation on RA synovial fibroblast).
DOI: 10.6084/m9.figshare.13004231.v1
title: Additional file 2 of Siberian larch (Larix sibirica Ledeb.) mitochondrial genome assembled using both short and long nucleotide sequence reads is currently the largest known mitogenome

description: Additional file 2. Plasmids matching inserts in the nine Siberian larch mitogenome contigs and their NCBI GenBank accession numbers.