cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3747448
title: dataset_for_uncoverapp

description: This is annotation file for uncoverapp
DOI: 10.5281/zenodo.3747163
title: Dataset: Chinese Mobile Application WeChat Used by German-Speaking Expatriates in China (Survey 2018-19)

description: This dataset contains the data collected in an online survey on the use of Chinese mobile messaging application WeChat by German-speaking expatriates in China. The survey was conducted in German and was online between November, 2018, and April, 2019. A total of 208 fully answered surveys were submitted through the online platform www.soscisurvey.de. The data collected was exported in the following available formats: Excel, GNU R, SPSS, SQL, and Stata. PDF screenshot desktop and mobile versions of the survey are included in the dataset.
DOI: 10.5281/zenodo.3747164
title: Dataset: Chinese Mobile Application WeChat Used by German-Speaking Expatriates in China (Survey 2018-19)

description: This dataset contains the data collected in an online survey on the use of Chinese mobile messaging application WeChat by German-speaking expatriates in China. The survey was conducted in German and was online between November, 2018, and April, 2019. A total of 208 fully answered surveys were submitted through the online platform www.soscisurvey.de. The data collected was exported in the following available formats: Excel, GNU R, SPSS, SQL, and Stata. PDF screenshot desktop and mobile versions of the survey are included in the dataset.
DOI: 10.17632/5vwrhmy2dg.1
title: Data for: Climate models predict a divergent future for the medicinal tree Boswellia serrata Roxb. in India
DOI: 10.5281/zenodo.3747580
title: paucampana/pisosScrapper: Pisos Scraper

description: Pisos scraper version 1.0.3
DOI: 10.3886/e116262v1-23623
title: Replication data for: What Are Stock Investors’ Actual Historical Returns? Evidence from Dollar-Weighted Returns

description: The existing literature typically does not differentiate between security returns and the returns of investors in these securities. This study clarifies that investor and security returns differ because of the timing and magnitude of investor capital flows into and out of these securities. The empirical results indicate that actual investor returns are systematically lower than buy-and-hold returns for nearly all major international stock markets. These results imply that the historical equity premium and the cost of equity capital are likely lower than previously thought. (JEL G11, G12, G15)
DOI: 10.7910/dvn/iilj4b/7ualz4
title: Tables_LPMmeans.R

description: :unav
DOI: 10.7910/dvn/iilj4b/3foll3
title: 10.Construct Health and Firm from Claims.do

description: :unav
DOI: 10.7910/dvn/iilj4b/vavubv
title: 13.Estimate PropensityScore.do

description: :unav
DOI: 10.7910/dvn/iilj4b/x0gvgs
title: 1.SetupLPMdata.do

description: :unav
DOI: 10.7910/dvn/iilj4b/z5fgbl
title: 6. Aggregate claims Data.do

description: :unav
DOI: 10.7910/dvn/iilj4b/6yagct
title: 2.LPMRegression_hypdiab.do

description: :unav
DOI: 10.7910/dvn/iilj4b/76hs7i
title: 3b.Blocking_Female_combined.do

description: :unav
DOI: 10.7910/dvn/iilj4b/acqpli
title: 5.PS_mergerbymerger_zipcode.do

description: :unav
DOI: 10.25345/c5v40n
title: MassIVE MSV000085268 - Phoshorylation-regulated UBF1-ECT2 Binding on ribosomal DNA
title: Epithelial Cell Transforming Sequence 2 (ECT2), a guanine nucleotide exchange factor (GEF) for Rho GTPases, is overexpressed in many cancers and is involved in signal transduction pathways that promote cancer cell proliferation, invasion and tumorigenesis. Recently, we demonstrated that a significant pool of ECT2 localizes to the nucleolus of non small cell lung cancer (NSCLC) cells where it binds the transcription factor Upstream Binding Factor 1 (UBF1) on the promoter regions of the ribosomal DNA (rDNA) and activates rDNA transcription, transformed growth and tumor formation. Here we investigate the mechanism by which ECT2 engages UBF1 on rDNA. Mutagenesis of ECT2 demonstrates that the tandem BRCT domain of ECT2 mediates binding to UBF1. Biochemical and mass spectrometry analysis reveals that Protein Kinase Ci (PKCi) directly phosphorylates UBF1 at Ser412 to generate a phosphopeptide binding epitope that binds the ECT2 BRCT domain. Lentiviral shRNA knockdown and reconstitution experiments demonstrate that both a functional ECT2 BRCT domain and the UBF1 Ser412 phosphorylation site are required for UBF1 mediated ECT2 recruitment to rDNA, elevated rRNA synthesis and transformed growth. Taken together, our study provides new molecular insight into ECT2 mediated regulation of rDNA transcription in cancer cells and provides a rationale for therapeutic targeting of UBF1 and ECT2 stimulated rDNA transcription for the treatment of NSCLC.
DOI: 10.7910/dvn/iilj4b/ldc1zk
title: 4.StandardizeBlocks.do

description: :unav
DOI: 10.5281/zenodo.3744832
title: Data for "Martian Infrasound: Numerical Modeling and Analysis of InSight's Data"

description: This dataset complements the paper "Martian Infrasound: Numerical Modeling and Analysis of InSight's Data", submitted to the Journal of Geophysical Research - Planets.
DOI: 10.5281/zenodo.3744831
title: Data for "Martian Infrasound: Numerical Modeling and Analysis of InSight's Data"

description: This dataset complements the paper "Martian Infrasound: Numerical Modeling and Analysis of InSight's Data", submitted to the Journal of Geophysical Research - Planets.
DOI: 10.5281/zenodo.3747646
title: Homes of Esparreguera

description: Dataset of houses in the Esparreguera area with its characteristics. This information has been obtained from Pisos.com using web scraping techniques. The code used to obtain this excel can be found in this repository: https://github.com/paucampana/pisosScrapper
DOI: 10.5281/zenodo.3747645
title: Homes of Esparreguera

description: Dataset of houses in the Esparreguera area with its characteristics. This information has been obtained from Pisos.com using web scraping techniques. The code used to obtain this excel can be found in this repository: https://github.com/paucampana/pisosScrapper
DOI: 10.25387/g3.12097860
title: Supplemental Material for Lilley et al., 2020

description: Supplemental table S1 for Lilley et al. "
DOI: 10.25387/g3.12097860.v1
title: Supplemental Material for Lilley et al., 2020

description: Supplemental table S1 for Lilley et al. "
DOI: 10.25345/c5qd86
title: MassIVE MSV000085269 - Phoshorylation regulated UBF1 and ECT2 Binding on ribosomal DNA
title: Epithelial Cell Transforming Sequence 2 (ECT2), a guanine nucleotide exchange factor (GEF) for Rho GTPases, is overexpressed in many cancers and is involved in signal transduction pathways that promote cancer cell proliferation, invasion and tumorigenesis. Recently, we demonstrated that a significant pool of ECT2 localizes to the nucleolus of non small cell lung cancer (NSCLC) cells where it binds the transcription factor Upstream Binding Factor 1 (UBF1) on the promoter regions of the ribosomal DNA (rDNA) and activates rDNA transcription, transformed growth and tumor formation. Here we investigate the mechanism by which ECT2 engages UBF1 on rDNA. Mutagenesis of ECT2 demonstrates that the tandem BRCT domain of ECT2 mediates binding to UBF1. Biochemical and mass spectrometry analysis reveals that Protein Kinase Ci (PKCi) directly phosphorylates UBF1 at Ser412 to generate a phosphopeptide binding epitope that binds the ECT2 BRCT domain. Lentiviral shRNA knockdown and reconstitution experiments demonstrate that both a functional ECT2 BRCT domain and the UBF1 Ser412 phosphorylation site are required for UBF1 mediated ECT2 recruitment to rDNA, elevated rRNA synthesis and transformed growth. Taken together, our study provides new molecular insight into ECT2 mediated regulation of rDNA transcription in cancer cells and provides a rationale for therapeutic targeting of UBF1 and ECT2 stimulated rDNA transcription for the treatment of NSCLC.
DOI: 10.5066/p9khrjkw
title: Scaling antibiotic efficacy from cells to metapopulations

description: The data are population sizes of yeast Saccharaomyces cerevisiae growth in laboratory cultures over a period of several days with different levels of growth inhibitor cycloheximide and of nutrient levels.
DOI: 10.5066/p96t27um
title: Magnetotelluric data from San Pablo Bay, California

description: This dataset consists of 14 magnetotelluric (MT) stations collected in 2015 near San Pablo Bay, California along a east-northeast profile. The U.S. Geological Survey acquired these data to understand the fault geometry of the Hayward Fault and the Rodgers Creek Fault.
DOI: 10.5281/zenodo.3647674
title: STRIDE Project C - Performance Measurement and Management Using Connected and Automated Vehicle Data

description: The main objective of this study is to develop a methodological framework to estimate system performance measurements using CV data. The study also provides a validation of the framework as a proof of concept by determining performance measurements from traditional and CV data. In doing so, the microscopic simulation software VISSIM with trajectory conversion algorithm (TCA) is used to generate CV data, particularly basic safety message (BSM) for a study corridor located in Birmingham, AL. The estimated performance measures can be used by a system operator, planner, or an automated system to support decisions associated with these processes. The measurements can be also used to derive information for dissemination to travelers, third-party data aggregators, traveler information service providers, and other agencies. The collected and archived data includes real-world data collected from different sources in addition to simulation model results.
DOI: 10.5281/zenodo.3747582
title: WarningsGuru tool, survey, r scripts, and database

description: The replication package for the WarningsGuru including a "release" from the GitHub repo of the WarningsGuru tool, survey tool, r scripts, results in CSV format, and a database for use with the WarningsGuru tool.
DOI: 10.5281/zenodo.3647673
title: STRIDE Project C - Performance Measurement and Management Using Connected and Automated Vehicle Data

description: The main objective of this study is to develop a methodological framework to estimate system performance measurements using CV data. The study also provides a validation of the framework as a proof of concept by determining performance measurements from traditional and CV data. In doing so, the microscopic simulation software VISSIM with trajectory conversion algorithm (TCA) is used to generate CV data, particularly basic safety message (BSM) for a study corridor located in Birmingham, AL. The estimated performance measures can be used by a system operator, planner, or an automated system to support decisions associated with these processes. The measurements can be also used to derive information for dissemination to travelers, third-party data aggregators, traveler information service providers, and other agencies. The collected and archived data includes real-world data collected from different sources in addition to simulation model results.
DOI: 10.5281/zenodo.3747581
title: WarningsGuru tool, survey, r scripts, and database

description: The replication package for the WarningsGuru including a "release" from the GitHub repo of the WarningsGuru tool, survey tool, r scripts, results in CSV format, and a database for use with the WarningsGuru tool.
DOI: 10.5519/qd.dv78ed65
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (313 records)
DOI: 10.21227/wkn1-fs60
title: Cartesian_robot_calibration_experiment_data

description: The data are used to identify the kinematic parameters deviation of Cartesian robot, train Gaussian Process Regression (GPR) model, record the compensation result of four calibration methods under different loading conditions.
DOI: 10.21227/ks7d-4754
title: Cartesian_robot_calibration_experiment_data

description: The data are used to identify the kinematic parameters deviation of Cartesian robot, train Gaussian Process Regression (GPR) model, record the compensation result of four calibration methods under different loading conditions.
DOI: 10.21227/yk45-jq67
title: ExoNet Database: Open-Source Wearable Camera Images of Human Locomotion Environments

description: Recent advances in robotic vision and artificial intelligence have enabled researchers to develop environment recognition systems for lower-limb exoskeletons and prostheses. However, insufficient and private training databases have impeded the widespread development and dissemination of image classification algorithms for environment recognition. To address these shortcomings, we have developed “ExoNet”, the first open-source large-scale hierarchical database of high-resolution wearable camera images of human locomotion environments. Unparalleled in both scale and diversity, ExoNet comprises over 5.6 million images of different indoor and outdoor real-world walking environments, collected using a lightweight wearable smartphone camera system throughout summer, autumn, and winter seasons. Approximately 940,000 images in ExoNet were human-annotated using a 12-class hierarchical classification architecture. Available publicly through IEEE DataPort, ExoNet offers an unprecedented communal platform for training, developing, and comparing image classification algorithms for next-generation environment recognition systems. Beyond the control of robotic lower-limb exoskeletons and prostheses, applications of ExoNet extend to humanoid and autonomous legged robotics.
DOI: 10.21227/zdrv-xe63
title: ExoNet Database: Open-Source Wearable Camera Images of Human Locomotion Environments

description: Recent advances in robotic vision and artificial intelligence have allowed researchers to develop environment recognition systems for lower-limb exoskeletons and prostheses. However, insufficient and private training databases have impeded the widespread development and dissemination of image classification algorithms for environment recognition. To address these shortcomings, we have developed “ExoNet”, the first open-source large-scale hierarchical database of high-resolution wearable camera images of human locomotion environments. Unparalleled in both scale and diversity, ExoNet comprises over 5.6 million images of different indoor and outdoor real-world walking environments, collected using a lightweight wearable smartphone camera system throughout summer, autumn, and winter seasons. Approximately 940,000 images in ExoNet were human-annotated using a 12-class hierarchical classification architecture. Available publicly through IEEE DataPort, ExoNet offers an unprecedented communal platform for training, developing, and comparing image classification algorithms for next-generation environment recognition systems. Beyond the control of robotic lower-limb exoskeletons and prostheses, applications of ExoNet extend to humanoid and autonomous legged robotics.
DOI: 10.15468/55gpwb
title: Tyrannosaurus en pointe: allometry minimized rotational inertia of large carnivorous dinosaurs

description: This dataset contains the digitized treatments in Plazi based on the original journal article Donald M. Henderson, Eric Snively (2004): Tyrannosaurus en pointe: allometry minimized rotational inertia of large carnivorous dinosaurs. Proc. R. Soc. Lond. B (Suppl.) 271: 57-60, DOI: 10.1098/rsbl.2003.0097
DOI: 10.21227/0kam-zd55
title: ExoNet Database: Open-Source Wearable Camera Images of Human Locomotion Environments

description: Recent advances in robotic vision and artificial intelligence have allowed researchers to develop environment recognition systems for lower-limb exoskeletons and prostheses. However, insufficient and private training datasets have impeded the widespread development and dissemination of image classification algorithms for environment recognition. To address these shortcomings, we have developed “ExoNet”, the first open-source large-scale hierarchical dataset of high-resolution wearable camera images of human locomotion environments. Unparalleled in both scale and diversity, ExoNet comprises over 5.6 million images of different indoor and outdoor real-world walking environments, collected using a lightweight wearable smartphone camera system throughout the summer, fall, and winter seasons. Approximately 940,000 images in ExoNet were human-annotated using a 12-class hierarchical classification architecture. Available publicly through IEEE DataPort, ExoNet offers an unprecedented communal platform for training, developing, and comparing image classification algorithms for next-generation environment recognition systems. Beyond the control of lower-limb exoskeletons and prostheses, applications of ExoNet extend to humanoid and autonomous legged robotics.
DOI: 10.5281/zenodo.3746294
title: Demo dataset for diploid genome assembly pipeline

description: Small-scale demo data to test the diploid genome assembly pipeline. The tar archive contains PacBio HiFi/CCS and Strand-seq reads, plus a reduced genome reference. For instructions how to run the demo data, please refer to the documentation hosted in the pipeline repository (see related identifiers).
description: Please note that this demo data has been derived from publicly accessible sources at EBI/ENA (see accessions under related identifiers), and it is thus not a primary research output of our diploid assembly project.
description: {"references": ["Porubsky and Ebert et al., A fully phased accurate assembly of an individual human genome, bioRxiv 2019"]}
DOI: 10.5281/zenodo.3746293
title: Demo dataset for diploid genome assembly pipeline

description: Small-scale demo data to test the diploid genome assembly pipeline. The tar archive contains PacBio HiFi/CCS and Strand-seq reads, plus a reduced genome reference. For instructions how to run the demo data, please refer to the documentation hosted in the pipeline repository (see related identifiers).
description: Please note that this demo data has been derived from publicly accessible sources at EBI/ENA (see accessions under related identifiers), and it is thus not a primary research output of our diploid assembly project.
description: {"references": ["Porubsky and Ebert et al., A fully phased accurate assembly of an individual human genome, bioRxiv 2019"]}
DOI: 10.6073/pasta/402d7040a9303c0eb667590e0451ef4e
title: Soil hydraulic and thermal properties determined in surface organic and mineral soils in the region near Toolik Lake on the North Slope of Alaska, 2016-2019

description: Soil cores of 5 cm diameter down to frozen soil were taken from a subset of sample sites for laboratory analysis. Determinations of hydraulic conductivity, thermal conductivity, porosity, and bulk density were made for each core. For a further subset of sites we developed soil moisture retention curves.
DOI: 10.5281/zenodo.3747736
title: Oxygen Isotope Fractionation by Anaerobic Ammonium-Oxidizing Bacteria

description: Isotope composition of nitrite, nitrate, and water, as well as concentrations of nitrite, nitrate, and ammonium, were measured during the experiments with enrichment cultures of the anammox bacterium <em>Kuenenia stuttgartiensis. </em>Samples were collected sequentially during the course of the anammox activity until the complete consumption of nitrite.<em> </em>Isotope composition of nitrite and water was measured during the abiotic experiments to follow the abiotic oxygen isotope exchange between nitrite and water. The exchange was followed over the time period of 48 h.
DOI: 10.5281/zenodo.3747735
title: Oxygen Isotope Fractionation by Anaerobic Ammonium-Oxidizing Bacteria

description: Isotope composition of nitrite, nitrate, and water, as well as concentrations of nitrite, nitrate, and ammonium, were measured during the experiments with enrichment cultures of the anammox bacterium <em>Kuenenia stuttgartiensis. </em>Samples were collected sequentially during the course of the anammox activity until the complete consumption of nitrite.<em> </em>Isotope composition of nitrite and water was measured during the abiotic experiments to follow the abiotic oxygen isotope exchange between nitrite and water. The exchange was followed over the time period of 48 h.
DOI: 10.5281/zenodo.3742102
title: SIRAH-CoV2 initiative: NSP15 Endonuclease (PDB id:6W01)

description: This dataset contains the trajectory of a 10 microseconds-long coarse-grained molecular dynamics simulation of SARS-CoV2 Endopeptidase NSP15 in its APO form (PDB id: 6W01, Bioassembly 1). Simulations have been performed using the SIRAH force field running with the Amber18 package at the Uruguayan National Center for Supercomputing (ClusterUY) under the conditions reported in Machado et al. JCTC 2019, adding 150 mM NaCl according to Machado & Pantano JCTC 2020. The files contain all the raw information required to visualize (on VMD), analyze, backmap, and eventually continue the simulations using Amber18 or higher. Step-By-Step tutorials for running, visualizing, and analyzing CG trajectories using SirahTools can be found at www.sirahff.com. Additionally, the file 6W01_SIRAHcg_10us_prot.tar contain only the protein coordinates, while 6W01_SIRAHcg_10us_prot_skip10ns.tar contains one frame every 10ns. This dataset is part of the SIRAH-CoV2 initiative. For further details, please contact Exequiel Barrera (ebarrera@pasteur.edu.uy) or Sergio Pantano (spantano@pasteur.edu.uy).
description: {"references": ["Machado et al. JCTC 2019 (DOI: 10.1021/acs.jctc.9b00006)", "Machado & Pantano JCTC 2020 (DOI:10.1021/acs.jctc.9b00953)"]}
DOI: 10.5281/zenodo.3747747
title: gCSI

description: gCSI PharmacoSet (PSet) generated by ORCESTRA. Metadata can be found on ORCESTRA at: http://orcestra.ca/10.5281/zenodo.3747748
DOI: 10.5281/zenodo.3747748
title: gCSI

description: gCSI PharmacoSet (PSet) generated by ORCESTRA. Metadata can be found on ORCESTRA at: http://orcestra.ca/10.5281/zenodo.3747748
DOI: 10.5281/zenodo.3747781
title: GDSC2

description: GDSC2 PharmacoSet (PSet) generated by ORCESTRA. Metadata can be found on ORCESTRA at: http://orcestra.ca/10.5281/zenodo.3747782
DOI: 10.5281/zenodo.3747782
title: GDSC2

description: GDSC2 PharmacoSet (PSet) generated by ORCESTRA. Metadata can be found on ORCESTRA at: http://orcestra.ca/10.5281/zenodo.3747782
DOI: 10.5066/p95gy3r6
title: Discrete water quality data supporting Herring River restoration project, Cape Cod National Seashore, 1984-2017

description: Staff from the Cape Cod National Seashore, National Park Service (CACO NPS) began limited water-quality data collection in the Herring River Estuary as early as 1984. In 2006 a monthly sampling program was established for 14 sites to monitor nutrient concentrations, dissolved oxygen, and other constituents. This monitoring program is ongoing and has been supplemented with data from other CACO NPS projects and cooperative monitoring with the U.S. Geological Survey. With the anticipated restoration of the estuary, which has been diked off from the ocean for over 100 years, these data are critical in supporting the characterization of pre-restoration water quality. The data collected in the estuary from 1984-2017 have not been published and disseminated in one place to date. This data release is intended to address this issue and create a framework in which future data can be published. In preparation for publication, the data were compiled from several CACO NPS internal sources and were reviewed using very preliminary quality checks. The related USGS water-quality data are available in the National Water Information System (NWIS).
DOI: 10.5281/zenodo.3747794
title: interventional study about dyslipidemia ‎

description: A randomized, parallel two-arm interventional study
DOI: 10.5281/zenodo.3747793
title: interventional study about dyslipidemia ‎

description: A randomized, parallel two-arm interventional study