cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3633389
title: Reliance on Science in Patenting

description: This dataset contains citations from worldwide patents to scientific articles. <em>If you use the data, please cite this paper</em><strong>: Marx, Matt and Aaron Fuegi, "Reliance on Science: Worldwide Front-Page Patent Citations to Scientific Articles" Forthcoming in <em>Strategic Management Journal</em>. (https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3331686). </strong> There are two "flavors" of matches: linking to the Microsoft Academic Graph (<strong>_pcs_mag.tsv</strong>), and to PubMed (<strong>_pcs_pubmed.tsv</strong>). Each citation to science has the patent number, paper ID for MAG or PubMed, applicant/examiner indicator, and a confidence score (1-10); <strong>_data_description.pdf</strong> has full details. We also have a beta release of matches from the body text of USPTO patents since patent #1 in 1836. The files <strong>_pcs_mag_bodytextbeta.tsv</strong> and <strong>_pcs_pubmed_bodytextbeta.tsv</strong> add a field indicating whether the citation appeared on the front page, in the body text, or in both. The remaining files redistribute the Microsoft Academic Graph, carving up the original files into smaller, variable-specific files. There are also extensions including journal impact factor and high-level technical classifications. If you use them, please cite the following article: Sinha, A, et al. 2015. Overview of Microsoft Academic Service (MAS) and Applications. In Proceedings of the 24th International Conference on World Wide Web (WWW ’15 Companion). ACM, New York, NY, USA, 243-246. The PubMed linkages are publicly available without any licensing restrictions. The MAG linkages are subject to the Open Data Commons Attribution license (ODC-By), so you can use them for anything as long as you cite us. Questions & feedback to support@relianceonscience.org<em>.</em> Join our listserv by sending a <em>plain text</em> email to majordomo@bu.edu with "subscribe relianceonscience-l" in the body. Source code is available at https://github.com/mattmarx/reliance_on_science. <em>This computational work was performed on the Boston University Shared Computing Cluster.</em>
description: {"references": ["Marx, Matt and Aaron Fuegi, \"Reliance on Science in Patenting: USPTO Front-Page Citations to Scientific Articles\" (https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3331686)", "Sinha, Arnab, Zhihong Shen, Yang Song, Hao Ma, Darrin Eide, Bo-June (Paul) Hsu, and Kuansan Wang. 2015. An Overview of Microsoft Academic Service (MAS) and Applications. In Proceedings of the 24th International Conference on World Wide Web (WWW '15 Companion). ACM, New York, NY, USA, 243-246"]}
DOI: 10.7910/dvn/fvtawz/cuwdtf
title: DHS_V_pre_boot_EDCC_replication_file.do

description: :unav
DOI: 10.7910/dvn/fvtawz/mit5fo
title: peru_dhsV_analysis.tab

description: :unav
DOI: 10.7910/dvn/fvtawz/ohuzcd
title: DHS_V_bootstrap_EDCC_replication_file.do

description: :unav
DOI: 10.7910/dvn/fvtawz/ypme9l
title: README _ replication files.docx

description: :unav
DOI: 10.5281/zenodo.3633324
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: 10.7910/dvn/fvtawz/2x1hob
title: peru_dhsIV_analysis.tab

description: :unav
DOI: 10.7910/dvn/fvtawz/ktdrxt
title: DHS_IV_pre_boot_EDCC_replication_file.do

description: :unav
DOI: 10.7910/dvn/fvtawz/ujaws0
title: DHIS_IV_bootstrap_EDCC_replication_file.do

description: :unav
DOI: 10.7910/dvn/gre1n8/akovds
title: cr_sample.do

description: :unav
DOI: 10.7910/dvn/gre1n8/ujjcow
title: cr_tfp.do

description: :unav
DOI: 10.17632/dn3bsxhc62.1
title: Data for: Classification Performance-Based Feature Selection Algorithm for Machine Learning: P-Score

description: These data is free.
DOI: 10.5281/zenodo.3633443
title: Dataset for ACP publication titled "High secondary formation of nitrogen-containing organics (NOCs) and its possible link to oxidized organics and ammonium"

description: This is the dataset for the ACP publication titled "High secondary formation of nitrogen-containing organics (NOCs) and its possible link to oxidized organics and ammonium". 1 unzip code: gignoc 2 data description<br> <br> The dataset includes the hourly mean detected particle number and relative peak areas of various species (Hour mean data for NOCs.csv), and the mass spectrum information for the NOC-containing particles (NOC-MS.csv).
DOI: 10.5286/isis.e.rb1920367
title: Water-induced Structural Changes of Glycerol Mono Oleate at the Iron Oxide/Dodecane Interface

description: Engine oils lubricate moving components in engines, improving vehicle lifetimes and reducing emissions by minimising friction. Organic Friction Modifiers (OFMs) are friction-reducing engine oil additives that operate by adsorbing at metal surfaces. However, the precise mechanism by which OFMs reduce friction has yet to be clearly defined. To understand how these additives function, a novel tribometer rig has been developed which enables neutron reflectivity experiments to be carried out at elevated temperatures and pressures, whilst the surface is sheared. In this experiment we will detail the structural changes to the interfacial GMO layer as a function of GMO concentration, shear rate, and water content.
DOI: 10.5286/isis.e.rb1920367-1
title: Water-induced Structural Changes of Glycerol Mono Oleate at the Iron Oxide/Dodecane Interface

description: Engine oils lubricate moving components in engines, improving vehicle lifetimes and reducing emissions by minimising friction. Organic Friction Modifiers (OFMs) are friction-reducing engine oil additives that operate by adsorbing at metal surfaces. However, the precise mechanism by which OFMs reduce friction has yet to be clearly defined. To understand how these additives function, a novel tribometer rig has been developed which enables neutron reflectivity experiments to be carried out at elevated temperatures and pressures, whilst the surface is sheared. In this experiment we will detail the structural changes to the interfacial GMO layer as a function of GMO concentration, shear rate, and water content.
DOI: 10.5286/isis.e.rb1920563
title: Changes to the structure of natural lung surfactant following OH(aq) radical initiated oxidation

description: The presence of lung surfactant at the air-water interface of the lung is vital to prevent alveolar collapse. Exposure to environmental pollutants can cause the formation of oxidising species within the aqueous phase that potentially damage the biophysical properties of the surfactant layer, with adverse health effects. We wish to study changes to the structure of natural (porcine) lung surfactant at the air-water interface when exposed to the aqueous phase oxidant OH. The results will complement our existing data from showing the damage caused by the gas phase oxidant ozone.
DOI: 10.5286/isis.e.rb1920563-1
title: Changes to the structure of natural lung surfactant following OH(aq) radical initiated oxidation

description: The presence of lung surfactant at the air-water interface of the lung is vital to prevent alveolar collapse. Exposure to environmental pollutants can cause the formation of oxidising species within the aqueous phase that potentially damage the biophysical properties of the surfactant layer, with adverse health effects. We wish to study changes to the structure of natural (porcine) lung surfactant at the air-water interface when exposed to the aqueous phase oxidant OH. The results will complement our existing data from showing the damage caused by the gas phase oxidant ozone.
DOI: 10.5286/isis.e.rb2010739
title: The Interactions of Blood Components with Models of the Gram Negative Bacterial Surface

description: There is a lack of understanding in how medicines interact with blood serum components and with either bacterial or endothelial cellular membranes. We propose to examine the interaction of high density lipoprotein (HDL) and free apolipoproteins (ApoA1) with differing supported membrane types at the silicon water interface. One, a model of the eukaryotic membrane composed of mixed DMPCDMPS-Cholesterol 8:1:1 and another an asymmetric model of the Gram negative bacterial outer surface. We will systematically test our hypothesis that the LPS in the distal leaflet of the Gram negative bacterial outer membrane prevents serum component interactions with the bacterial surface and thus defends the bacterium from all but highly specific (anti-LOS antibodies) serum component interactions, and we will be able to determine the effect of cholesterol and Calcium on lipid exchange.
DOI: 10.5286/isis.e.rb2010739-1
title: The Interactions of Blood Components with Models of the Gram Negative Bacterial Surface

description: There is a lack of understanding in how medicines interact with blood serum components and with either bacterial or endothelial cellular membranes. We propose to examine the interaction of high density lipoprotein (HDL) and free apolipoproteins (ApoA1) with differing supported membrane types at the silicon water interface. One, a model of the eukaryotic membrane composed of mixed DMPCDMPS-Cholesterol 8:1:1 and another an asymmetric model of the Gram negative bacterial outer surface. We will systematically test our hypothesis that the LPS in the distal leaflet of the Gram negative bacterial outer membrane prevents serum component interactions with the bacterial surface and thus defends the bacterium from all but highly specific (anti-LOS antibodies) serum component interactions, and we will be able to determine the effect of cholesterol and Calcium on lipid exchange.
DOI: 10.6073/pasta/2740628d11cd6e6e2802a18f11f4a451
title: North Temperate Lakes LTER Regional Survey Water Chemistry 2015 - current

description: The Northern Highlands Lake District (NHLD) is one of the few regions in the world with periodic comprehensive water chemistry data from hundreds of lakes spanning almost a century. Birge and Juday directed the first comprehensive assessment of water chemistry in the NHLD, sampling more than 600 lakes in the 1920s and 30s. These surveys have been repeated by various agencies and we now have data from the 1920s (UW), 1960s (WDNR), 1970s (EPA), 1980s (EPA), 1990s (EPA), and 2000s (NTL). The 28 lakes sampled as part of the Regional Lake Survey have been sampled by at least four of these regional surveys including the 1920s Birge and Juday sampling efforts. These 28 lakes were selected to represent a gradient of landscape position and shoreline development, both of which are important factors influencing social and ecological dynamics of lakes in the NHLD. This long-term regional dataset will lead to a greater understanding of whether and how large-scale drivers such as climate change and variability, lakeshore residential development, introductions of invasive species, or forest management have altered regional water chemistry. The regional lakes survey in 2015 followed the standard LTER protocol for standard water chemistry and biology. Samples were taken as close to solar noon as possible. Seven lakes had replicates performed, which were chosen at random.
DOI: 10.7910/dvn/gre1n8/4m2xql
title: an_did_tm_ind.do

description: :unav
DOI: 10.7910/dvn/gre1n8/7ez3ep
title: README.txt

description: :unav
DOI: 10.7910/dvn/gre1n8/88w5mb
title: an_ipuse_stat.do

description: :unav
DOI: 10.7910/dvn/gre1n8/atxgiw
title: FHH_datafiles_EDCC.xlsx

description: :unav
DOI: 10.7910/dvn/gre1n8/dbtveg
title: an_match.do

description: :unav
DOI: 10.7910/dvn/gre1n8/skmi4l
title: an_did_tm_placebo.do

description: :unav
DOI: 10.7910/dvn/gre1n8/w9m1jc
title: cr_capital_stock.do

description: :unav
DOI: 10.5281/zenodo.3633442
title: Dataset for ACP publication titled "High secondary formation of nitrogen-containing organics (NOCs) and its possible link to oxidized organics and ammonium"

description: This is the dataset for the ACP publication titled "High secondary formation of nitrogen-containing organics (NOCs) and its possible link to oxidized organics and ammonium". 1 unzip code: gignoc 2 data description<br> <br> The dataset includes the hourly mean detected particle number and relative peak areas of various species (Hour mean data for NOCs.csv), and the mass spectrum information for the NOC-containing particles (NOC-MS.csv).
DOI: 10.5281/zenodo.3633444
title: Data for aax9753

description: Data for aax9753
DOI: 10.5281/zenodo.3633445
title: Data for aax9753

description: Data for aax9753
DOI: 10.5286/isis.e.rb2010567
title: Operando Neutron Reflectometry of Silicon/Oxygen Batteries – Analysis of Initial Surface Layer Formation during Discharge

description: The following proposal is aimed to provide new insights into surface passivation mechanism of Si electrodes in Si-O2 batteries and to validate the already published proof of concept where Si stays active as long as the potential remains cathodic to passivation peak potential. The neutron reflectometry is a powerful technique to provide the kinetic behavior of the passivation layer during operando investigations. The thickness and the composition of the surface layer can be measured with non-destructive neutron reflectometry while the Si electrode is being electrochemically studied by cyclic voltammetry and potentiostatic experiments. This novel operando approach will provide important insights into the passivation mechanism of Si which could lead to further developments..
DOI: 10.5286/isis.e.rb2010567-1
title: Operando Neutron Reflectometry of Silicon/Oxygen Batteries – Analysis of Initial Surface Layer Formation during Discharge

description: The following proposal is aimed to provide new insights into surface passivation mechanism of Si electrodes in Si-O2 batteries and to validate the already published proof of concept where Si stays active as long as the potential remains cathodic to passivation peak potential. The neutron reflectometry is a powerful technique to provide the kinetic behavior of the passivation layer during operando investigations. The thickness and the composition of the surface layer can be measured with non-destructive neutron reflectometry while the Si electrode is being electrochemically studied by cyclic voltammetry and potentiostatic experiments. This novel operando approach will provide important insights into the passivation mechanism of Si which could lead to further developments..
DOI: 10.7910/dvn/gre1n8/3qshd3
title: enia_inno_ip.dta

description: :unav
DOI: 10.7910/dvn/gre1n8/acmdnc
title: cr_enia_ip.do

description: :unav
DOI: 10.7910/dvn/gre1n8/hq5kre
title: an_tfp_ind.do

description: :unav
DOI: 10.7910/dvn/gre1n8/jsj2rm
title: cr_sample_clean.do

description: :unav
DOI: 10.7910/dvn/gre1n8/nex6ky
title: an_ipdet.do

description: :unav
DOI: 10.7910/dvn/gre1n8/ou7htz
title: an_enia_reg.do

description: :unav
DOI: 10.7910/dvn/gre1n8/pgrzvo
title: an_did_pat_ind.do

description: :unav
DOI: 10.7910/dvn/gre1n8/wtudvd
title: an_enia_reg_level.do

description: :unav
DOI: 10.7910/dvn/gre1n8/zktwxn
title: an_te_model_pat.do

description: :unav
DOI: 10.5286/isis.e.rb2010267
title: How do Surfactants Interact with Complex Monoclonal Antibodies at Oil/Water Interfaces?

description: Heavily bio-engineered monoclonal antibodies (mAbs) are an increasingly important trend in the biopharmaceutical industry. However, these mAbs are often destabilised by the silicone oil found in pre-filled syringes, which are the preferred storage and application method for these drugs. This effect can be reduced by adding biologically safe surfactants to the formulation, but the mechanism by which this protects the mAb is currently not proven. This study will investigate the mAb-surfactant-silicone oil interaction, using several contrasts to isolate of each component's SLD profile. An ensemble of potential conformations created from Monte-Carlo simulations of the protein's structure will be compared to this profile. This study will investigate mAb-surfactant stabilisation in detail, proving that complex four-phase protein systems can be studied in depth by Neutron Reflection.
DOI: 10.5286/isis.e.rb2010267-1
title: How do Surfactants Interact with Complex Monoclonal Antibodies at Oil/Water Interfaces?

description: Heavily bio-engineered monoclonal antibodies (mAbs) are an increasingly important trend in the biopharmaceutical industry. However, these mAbs are often destabilised by the silicone oil found in pre-filled syringes, which are the preferred storage and application method for these drugs. This effect can be reduced by adding biologically safe surfactants to the formulation, but the mechanism by which this protects the mAb is currently not proven. This study will investigate the mAb-surfactant-silicone oil interaction, using several contrasts to isolate of each component's SLD profile. An ensemble of potential conformations created from Monte-Carlo simulations of the protein's structure will be compared to this profile. This study will investigate mAb-surfactant stabilisation in detail, proving that complex four-phase protein systems can be studied in depth by Neutron Reflection.
DOI: 10.7910/dvn/gre1n8/bvbzf6
title: cleanfile.do

description: :unav
DOI: 10.7910/dvn/gre1n8/h9qz19
title: cr_enia.do

description: :unav
DOI: 10.7910/dvn/gre1n8/luonvx
title: extract.do

description: :unav
DOI: 10.7910/dvn/gre1n8/qkpuie
title: an_te_model_tm.do

description: :unav
DOI: 10.7910/dvn/gre1n8/ufo1pu
title: cr_mktshare.do

description: :unav
DOI: 10.6073/pasta/a28c960870d46bd2e83cc9c62d30c33c
title: CBH01 Konza Prairie Bison Herd Information

description: The purpose of this study is to monitor long-term changes in individual animal mass. The datasets include an annual summary of the bison herd structure, end-of-season weights of individual animals, and maternal parentage of individual bison.
DOI: 10.7910/dvn/gre1n8/63x7ou
title: an_table1.do

description: :unav
DOI: 10.7910/dvn/gre1n8/kwq4q4
title: mg_all.do

description: :unav
DOI: 10.7910/dvn/gre1n8/qxnzks
title: data_construction.do

description: :unav
DOI: 10.5281/zenodo.3633080
title: Empirical Study of the Relationship between Design Patterns and Code Smells

description: Software systems are often developed in such a way that good practices in the object-oriented paradigm are not met, causing the occurrence of specific disharmonies, which are sometimes called code smells. Design patterns catalogue best practices for developing object-oriented software systems. Although code smells and design patterns are widely divergent, there might be a co-occurrence relation between them. The objective of this paper is to empirically evaluate if the presence of design patterns is related to the presence of code smells at different granularity levels. We performed an empirical replication study using 20 design patterns, and 13 code smells in ten small-size to medium-size, open-source Java-based systems. We applied statistical analysis and association rules. Results confirm that classes participating in design patterns have less smell-proneness and smell frequency than classes not participating in design patterns. We also noticed that every design pattern category act in the same way in terms of smell-proneness in the subject systems. However, we observed, based on the association rules learning and the proposed validation technique, that some patterns may be associated with certain smells in some cases. For instance, Command patterns can co-occur with God Class, Blob and External Duplication smell. <strong>The published data set contains the following:</strong> List of the selected systems (source code files) The P-MARt: the design pattern repository as XML for the selected systems. Data of design patterns and code smells: We processed this data by parsing the design pattern XML file and running the smell detection tool (inFusion). The data of the data mining analysis.
DOI: 10.5281/zenodo.3633081
title: Empirical Study of the Relationship between Design Patterns and Code Smells

description: Software systems are often developed in such a way that good practices in the object-oriented paradigm are not met, causing the occurrence of specific disharmonies, which are sometimes called code smells. Design patterns catalogue best practices for developing object-oriented software systems. Although code smells and design patterns are widely divergent, there might be a co-occurrence relation between them. The objective of this paper is to empirically evaluate if the presence of design patterns is related to the presence of code smells at different granularity levels. We performed an empirical replication study using 20 design patterns, and 13 code smells in ten small-size to medium-size, open-source Java-based systems. We applied statistical analysis and association rules. Results confirm that classes participating in design patterns have less smell-proneness and smell frequency than classes not participating in design patterns. We also noticed that every design pattern category act in the same way in terms of smell-proneness in the subject systems. However, we observed, based on the association rules learning and the proposed validation technique, that some patterns may be associated with certain smells in some cases. For instance, Command patterns can co-occur with God Class, Blob and External Duplication smell. <strong>The published data set contains the following:</strong> List of the selected systems (source code files) The P-MARt: the design pattern repository as XML for the selected systems. Data of design patterns and code smells: We processed this data by parsing the design pattern XML file and running the smell detection tool (inFusion). The data of the data mining analysis.
DOI: 10.5281/zenodo.3633099
title: Data model for Data Scope dataset

description: Dataset of the data model for data scopes that contains information on each class of the data scope from 30 articles from 2 journals (Digital Scholarship of the Humanities and Computational Social Sciences).