cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3631714
title: The Hidden Midden – Geoarchaeological investigation of sedimentation processes, waste disposal practices and resource management at the La Tène settlement of Basel-Gasfabrik (Switzerland) - Dataset

description: Data set to the paper " The Hidden Midden – Geoarchaeological investigation of sedimentation processes, waste disposal practices and resource management at the La Tène settlement of Basel-Gasfabrik (Switzerland)" (Geoarchaeology; An International Journal). Supplementary Information 1: Profile photos, polished sections and thin sections scans Supplementary Information 2: Data set of the micromorpological analysis. Most of the data are given in a semiquantitative way: absent [0%] – single [&lt;2%] – few [2–10%] – frequent [10–25%] – numerous [25–50%] – dominant [&gt;50%]
DOI: 10.17632/tzkhtd5d6h.1
title: Study on ice nucleation temperature and water freezing in saline soils

description: experimental data about sodium sulfate soils
DOI: 10.3886/e109644
title: Replication Code for: The Long-Run Impacts of Specialized Programming for High-Achieving Students

description: I evaluate long-run academic impacts of specialized programming for high-achieving students by analyzing Advanced Work Class (AWC), an accelerated curriculum delivered in dedicated classrooms for fourth through sixth graders in Boston Public Schools. Fuzzy regression discontinuity estimates show that AWC has positive yet imprecise impacts on test scores and improves longer-term outcomes, increasing high school graduation and college enrollment. These gains are driven by Black and Latino students. An analysis of mechanisms highlights the importance of staying “on track” throughout high school, with little evidence that AWC gains result from peer effects.
description: Third grade students in Boston Public Schools in Fall of 2001-2005. Smallest Geographic Unit: city
description: All third grade students in Boston Public Schools in Fall of 2001-2005 form the initial sample for the analysis.
DOI: 10.3886/e109644v1
title: Replication Code for: The Long-Run Impacts of Specialized Programming for High-Achieving Students

description: I evaluate long-run academic impacts of specialized programming for high-achieving students by analyzing Advanced Work Class (AWC), an accelerated curriculum delivered in dedicated classrooms for fourth through sixth graders in Boston Public Schools. Fuzzy regression discontinuity estimates show that AWC has positive yet imprecise impacts on test scores and improves longer-term outcomes, increasing high school graduation and college enrollment. These gains are driven by Black and Latino students. An analysis of mechanisms highlights the importance of staying “on track” throughout high school, with little evidence that AWC gains result from peer effects.
description: Third grade students in Boston Public Schools in Fall of 2001-2005. Smallest Geographic Unit: city
description: All third grade students in Boston Public Schools in Fall of 2001-2005 form the initial sample for the analysis.
DOI: 10.3886/e117404
title: Bold or reckless? The impact of workplace risk-taking on attributions and expected outcomes

description: Risk-takers are rhetorically extolled in America, but does this veneration ignore the downsides of failure? We test competing perspectives on how workplace risk-takers are perceived by examining cultural attitudes about individuals who successfully take, unsuccessful take, and avoid risks at work. The results of two experiments show that, in comparison to risk-avoidance, expected workplace outcomes are enhanced by successful risk-taking and that failure does not appear to significantly harm expected workplace outcomes for risk-takers. While one experiment finds that failed risk-takers are seen as more likely to be downsized (because they are viewed as more foolish), we also find failed risk-takers are perceived as more likely to be hired and promoted. Mediation analyses reveal this is primarily because risk-taking—regardless of outcome—considerably increases perceptions of agency and decreases perceptions of indecisiveness, and these attributions predict positive workplace outcomes. We also find the results to be remarkably similar across varying participant characteristics (namely, gender, race, education level, work experience, income, and age), which suggests that there is a broad cultural consensus in the U.S. about the value of risk-taking. In sum, we find evidence that observers generally make more positive attributions about risk-takers than about risk-avoiders, even when risk-takers fail.
DOI: 10.3886/e117404v1
title: Bold or reckless? The impact of workplace risk-taking on attributions and expected outcomes

description: Risk-takers are rhetorically extolled in America, but does this veneration ignore the downsides of failure? We test competing perspectives on how workplace risk-takers are perceived by examining cultural attitudes about individuals who successfully take, unsuccessful take, and avoid risks at work. The results of two experiments show that, in comparison to risk-avoidance, expected workplace outcomes are enhanced by successful risk-taking and that failure does not appear to significantly harm expected workplace outcomes for risk-takers. While one experiment finds that failed risk-takers are seen as more likely to be downsized (because they are viewed as more foolish), we also find failed risk-takers are perceived as more likely to be hired and promoted. Mediation analyses reveal this is primarily because risk-taking—regardless of outcome—considerably increases perceptions of agency and decreases perceptions of indecisiveness, and these attributions predict positive workplace outcomes. We also find the results to be remarkably similar across varying participant characteristics (namely, gender, race, education level, work experience, income, and age), which suggests that there is a broad cultural consensus in the U.S. about the value of risk-taking. In sum, we find evidence that observers generally make more positive attributions about risk-takers than about risk-avoiders, even when risk-takers fail.
DOI: 10.5281/zenodo.3631715
title: Code, data and results for manuscript "A parsimonious empirical approach to streamflow recession analysis and forecasting"

description: This repository hosts the supplementary materials associated with the paper:<br> &gt; Delforge, D., Muñoz-Carpena, R., Van Camp, M. Vanclooster, M. (2020), A parsimonious empirical approach to streamflow recession analysis and forecasting (accepted at Water Resources Research - 29-01-2020). This data set contains streamflow and recession data, a python code file and a Jupyter notebook illustrating how to apply the EDM-Simplex method to forecast the recession, and the outputs of the global sensitivity analysis. All files are documented in the readme.md Markdown files. Streamflow data were obtained from the Aqualim portal (http://aqualim.environnement.wallonie.be/) of the "Service Public de Wallonie" and shared with their kind permission. This work is part of a Ph.D. supported by a FRIA grant from the Fund for Scientific Research (FSR-FNRS, Belgium). The authors acknowledge University of Florida Research Computing for providing computational resources and support that have contributed to the research results stored in this repository. URL: http://researchcomputing.ufl.edu.
DOI: 10.5281/zenodo.3631716
title: Code, data and results for manuscript "A parsimonious empirical approach to streamflow recession analysis and forecasting"

description: This repository hosts the supplementary materials associated with the paper:<br> &gt; Delforge, D., Muñoz-Carpena, R., Van Camp, M. Vanclooster, M. (2020), A parsimonious empirical approach to streamflow recession analysis and forecasting (accepted at Water Resources Research - 29-01-2020). This data set contains streamflow and recession data, a python code file and a Jupyter notebook illustrating how to apply the EDM-Simplex method to forecast the recession, and the outputs of the global sensitivity analysis. All files are documented in the readme.md Markdown files. Streamflow data were obtained from the Aqualim portal (http://aqualim.environnement.wallonie.be/) of the "Service Public de Wallonie" and shared with their kind permission. This work is part of a Ph.D. supported by a FRIA grant from the Fund for Scientific Research (FSR-FNRS, Belgium). The authors acknowledge University of Florida Research Computing for providing computational resources and support that have contributed to the research results stored in this repository. URL: http://researchcomputing.ufl.edu.
DOI: 10.5281/zenodo.3631467
title: Atlantic Canada Seabird Distribution, Threat and Risk Data

description: The Atlantic Canadian Seabird Viewer is a collaborative project by Bird Studies Canada, Mount Allison University, and World Wildlife Fund Canada to share information about seabirds and the risks they face from human activity in the marine environment. The data underlying this project was compiled as part of a three-year study funded by the Atlantic Ecosystem Initiative of Environment and Climate Change Canada (2015-18) and consists of: (1) locations of known breeding colonies, for 13 species/groups of species, surveyed at least once between 1996-2016; (2) predictions of the at-sea distribution of 13 species / groups of species of seabirds based on machine-learning models constructed using tracking data for n= 520 individual birds contributed by project partners; (3) relative intensity (scaled from 0 to 1) of a range of human activities: light pollution (derived from NOAA’s 1993-2003 DMSP OLS composite), marine traffic (derived from Automated Identification System, or AIS data for Atlantic Canada from January 2014-March 2015), and ship-source oil pollution threat (a weighted-composite based on average fuel carrying capacity for different classes of vessel). The information on species distribution and the threat posed by human activity (for which data was available) was combined to produce a single <strong>seabird cumulative risk score</strong>, which integrates both the overall “exposure” of the seabird community as well as its sensitivity to the human activities present in a particular grid cell. You can query cumulative risk at any grid cell location, or draw or upload polygons outlining areas of interest to you in order to assess cumulative risk for grid cells overlapping with your drawing / uploaded polygon. ** Intended Purpose ** This data is intended to support strategic decision making, and is best suited to “first-pass” assessments with a goal to identify at-risk areas. The results of assessments based on this data can be used to help make broad-scale decisions (e.g., identify candidate marine protected areas), or pursue finer-scale analysis using more localized data, e.g., aid in the deployment of fishery observers to monitor bycatch. It can also be used to identify candidate locations for implementation of specific management decisions. This data, within the confines of the study area boundary, is a powerful tool for risk assessment, and conservation and management decision making.
DOI: 10.5281/zenodo.3631468
title: Atlantic Canada Seabird Distribution, Threat and Risk Data

description: The Atlantic Canadian Seabird Viewer is a collaborative project by Bird Studies Canada, Mount Allison University, and World Wildlife Fund Canada to share information about seabirds and the risks they face from human activity in the marine environment. The data underlying this project was compiled as part of a three-year study funded by the Atlantic Ecosystem Initiative of Environment and Climate Change Canada (2015-18) and consists of: (1) locations of known breeding colonies, for 13 species/groups of species, surveyed at least once between 1996-2016; (2) predictions of the at-sea distribution of 13 species / groups of species of seabirds based on machine-learning models constructed using tracking data for n= 520 individual birds contributed by project partners; (3) relative intensity (scaled from 0 to 1) of a range of human activities: light pollution (derived from NOAA’s 1993-2003 DMSP OLS composite), marine traffic (derived from Automated Identification System, or AIS data for Atlantic Canada from January 2014-March 2015), and ship-source oil pollution threat (a weighted-composite based on average fuel carrying capacity for different classes of vessel). The information on species distribution and the threat posed by human activity (for which data was available) was combined to produce a single <strong>seabird cumulative risk score</strong>, which integrates both the overall “exposure” of the seabird community as well as its sensitivity to the human activities present in a particular grid cell. You can query cumulative risk at any grid cell location, or draw or upload polygons outlining areas of interest to you in order to assess cumulative risk for grid cells overlapping with your drawing / uploaded polygon. ** Intended Purpose ** This data is intended to support strategic decision making, and is best suited to “first-pass” assessments with a goal to identify at-risk areas. The results of assessments based on this data can be used to help make broad-scale decisions (e.g., identify candidate marine protected areas), or pursue finer-scale analysis using more localized data, e.g., aid in the deployment of fishery observers to monitor bycatch. It can also be used to identify candidate locations for implementation of specific management decisions. This data, within the confines of the study area boundary, is a powerful tool for risk assessment, and conservation and management decision making.
DOI: 10.17632/tzkhtd5d6h.2
title: Study on ice nucleation temperature and water freezing in saline soils

description: experimental data about sodium sulfate soils
DOI: 10.25345/c5kx2v
title: MassIVE MSV000084871 - Maximizing Confidence and Sensitivity in quantitative Phosphoproteomics - Targets of Tel1 kinase
title: Proteome-wide analysis of phosphorylation events is a challenging, yet essential, task for the comprehensive and unbiased investigation of kinase action. Here we developed a phosphoproteomic approach in which quantitation consistency among reversed isotopically labeled samples is used as a central filtering rule for achieving reliability with minimal loss of data content. Exclusion of non-reverting data-points from the dataset not only reduces quantitation error and variation, but also reduces false positive identifications. Application of our approach identified new substrates Tel1 kinases.
DOI: 10.17632/vj5469pmv6.1
title: Data for: Sleeve Gastrectomy Ameliorates Endothelial Function and Prevents Lung Cancer by Normalizing Endothelin-1 Axis in Obese and Diabetic Rats
DOI: 10.3886/e117442
title: Economic Journal - It sucks to be single, PSID raw data files

description: <br>The data in this deposit delivers the PSID raw files used for the paper"It Sucks to Be Single! Marital Status and Redistribution of Social Security" published in The Economic Journal.<br>
DOI: 10.3886/e117442v1
title: Economic Journal - It sucks to be single, PSID raw data files

description: <br>The data in this deposit delivers the PSID raw files used for the paper"It Sucks to Be Single! Marital Status and Redistribution of Social Security" published in The Economic Journal.<br>
DOI: 10.17632/8cnnsn87x9.1
title: Ge QD lattices prepared by N-assisted deposition - dataset

description: Dataset contains: GISAXS maps od the investigated films, optical , XRD, I-V and quantum efficinecy data
DOI: 10.17632/fh8yp3dfg8.1
title: River Beas (India) macroinvertebrate sampling 2017

description: Macroinvertebrate kick-sampling results on the River Beas in November 2017. Additional details are available in: https://doi.org/10.3390/w10091247 This research was funded by the UK Natural Environment Research Council, grant number NE/N016394/1.
DOI: 10.17632/g36hdnfg6b.1
title: Quality of the Tertiary Academic Leader-Exchange Relationship: Satisfaction, overload and the moderating effect of globally-used teaching, research and funding performance measures

description: The importance of teaching, research and funding performance measurement for academic leaders is instilled by tertiary education funding models globally. The objective of this research was to examine the leader-member exchange relationship between Faculty-level and subordinate department managers in a large sample of tertiary colleges and particularly to examine the moderating effect of multiple performance measurement use on job satisfaction and perceived work overload. The sample consisted of responses to a self-administered questionnaire from 209 subordinate head of departments across 112 tertiary education institutions in a single country. Previously validated leader-member exchange, satisfaction and workload survey items were used with confirmatory factor analysis of tertiary education-specific teaching, research and funding performance measures creating a new validated model for measuring performance in a tertiary education context. Based on moderating multiple regression results a significant difference was discovered for the effects of teaching and internal funding performance measurement compared to the imposition of research and external funding performance measurement. Hypothesis 1: The quality of LMX is positively associated with the HoDs’ job satisfaction Hypothesis 2: The quality of LMX is negatively associated with the HoDs’ perceived work overload Hypothesis 3: LMX quality has a negative relationship with perceived work overload and we hypothesize that MPM use will strengthen this negative relationship. Hypothesis 4: LMX quality has a positive relationship with job satisfaction and we hypothesize that MPM use will weaken this positive relationship.
DOI: 10.17632/gztv4rbnbz.1
title: Calculating the Gravity Free Shape

description: Results shown in figure 8 and 11 of the manuscript in .stl file format.
DOI: 10.21227/r580-cq42
title: Twitter Sentiment Analysis Data

description: Each database (*.db) contain three columns. First column: date and time of the tweet, second column: tweet, third column: sentiment score for the particular tweet within the range [-1,1] with -1 being the most negative, 0 being the neutral and +1 being the most positive sentiment.The tweets have been collected by the LSTM model deployed here at sentiment.live[1]. The last column, viz. sentiment score, is not the score estimated by the model. The LSTM model is still in the pre-alpha phase. Therefore, to make it easy for the NLP researchers to get access to the sentiment analysis of each collected tweet, the sentiment score out of TextBlob [2] has been appended as the last column. The sentiment scores produced by our model will be made public after the project is completely open-sourced.####status/latest addition: Jan 26, 2020####Tweets containing the term "samsung": 1.20 million-plusTweets containing the term "facebook": 0.77 million-plusTweets containing the term "android": 0.88 million-plusTweets containing the term "oneplus": 15 thousand-plusTweets containing the term "messi": 225 thousand-plusTweets containing the term "housefull 4": 346 thousand-plusTweets containing the term "the joker": 1 million-plusTweets containing the term "iphone 11": 2 million-plus##################References:[1]https://sentiment.live/ [2]https://textblob.readthedocs.io/en/dev/
DOI: 10.25345/c5039z
title: MassIVE MSV000084867 - Vendor and raw peak file upload
title: Recent advancements in pannexin 1 (PANX1) research has started to uncover a number of its interacting partners in key cellular processes such as P2X7 receptor for purinergic signaling, cytoskeletal proteins Arp2/3 for mechanical force generation, components of inflammasome (such as NLRP1, CASP1, CASP11 and XIAP) and Crmp2 involved in neurite formation. Our laboratory has recently reported novel channel-independent tumor-suppressive roles of PANX1 in both embryonal (eRMS) and alveolar (aRMS) rhabdomyosarcoma, but the underlining molecular mechanism remains to be elucidated. In the present study, using RNA-seq and DAVID analysis, we first showed that the Gene Ontology (GO) terms such as apoptosis and migration, and KEGG pathways such as MAPK and Rap1 Signaling pathways were amongst the most highly enriched processes in Rh30 (aRMS) cells with ectopic PANX1 expression. In particular, we found that both GJA1 and its encoded protein connexin 43 (Cx43) were significantly increased in PANX1 expressing Rh30 (aRMS) cells. We used biotin identification (BioID), which was further complimented by co-immunoprecipitation (co-IP) coupled to high-performance liquid chromatography/electrospray ionization tandem mass spectrometry (HPLC-ESI-MS/MS) from Myc-PANX1 enriched subcellular fractions, to study the interactome of PANX1 in RMS. Prior to HPLC-ESI-MS/MS, we showed that both the c-terminal BirA and Myc tags did not alter the channel or tumor-suppressive functions of PANX1 in HEK293T and RMS cells, respectively. STRING protein network analyses of the overlapping hits from BioID and subcellular fractionation approaches suggested a PANX1 interactome with plasma membrane and cytoskeleton associated proteins from which ACTB and AHNAK were further validated by co-IP. Moreover, small interfering RNA (siRNA) mediated knockdown of AHNAK in PANX1 expressing Rh18 (eRMS) and Rh30 (aRMS) significantly abrogated the PANX1-induced reduction in viability, migration and increase in anoikis. Together, these findings demonstrate our PANX1 transcriptome and proteome databases hold great potential for discovery of novel PANX1 tumor-suppressive mechanisms and therapeutic targets for RMS.
DOI: 10.5281/zenodo.3631738
title: Modelica Models and Jupyter Notebooks for System Analysis of Glucose Insulin Regulation

description: This dataset contains source code of Modelica models of Glucose-Insulin regulation using different techniques. Accompanying Jupyter notebook is demo for system analysis (parameter estimation) of artificial data and to match model simulation able to be used in Teaching class. <strong>ModelicaIdentification.ipynb</strong> - default notebook - code contains ellipsis which needs to be replaced as per instruction in text <strong>ModelicaIdentificationResolution.ipynb - </strong>notebook - code with exemplar solution to default notebook <strong>glucoseinsulin.mo - </strong>Modelica source code <strong>PatientInsulinConcentration.csv</strong> - sample data to be fitted against model <strong>seminar11hw.GIExperiment.fmu</strong> - FMU exported from Modelica in order to run simulation in Python and PyFMI library Thanks to the MYBINDER service, the Jupyter notebook can be viewed and executed as https://mybinder.org/v2/zenodo/10.5281/zenodo.3633324/ note that you need to launch terminal first in Jupyter -&gt; New -&gt; Terminal and install pyfmi and matplotlib by: <pre><code class="language-bash">conda install -c conda-forge pyfmi matplotlib</code></pre> Most recent version with other models and notebooks https://mybinder.org/v2/gh/creative-connections/Bodylight-notebooks/master?filepath=Seminar11GlucoseInsulinIdentification/
DOI: 10.5281/zenodo.3631739
title: Modelica Models and Jupyter Notebooks for System Analysis of Glucose Insulin Regulation

description: This dataset contains source code of Modelica models of Glucose-Insulin regulation using different techniques. Glucose Insulin Model is implemented as presented by Stolwik and Hardy\cite{stolwijk1974regulation} and further described by Khoo \cite{khoo2000} consists of glucose compartment and insulin compartment. Each compartment has inflow and one or several outflows. Insulin production is triggered by glucose concentration and insulin influence rapidly the tissue utilization rate (insulin dependent). Accompanying Jupyter notebook is demo for system analysis (parameter estimation) of artificial data and to match model simulation.
DOI: 10.17632/z3rwhc87r3.1
title: Data for: A logical approach for zero-rupture Fully Ceramic Microencapsulated (FCM) fuels