cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.7093502
title: Interview - Larry Johnson

description: This dataset 'Interview - Larry Johnson’ is a component of a Doctor Of Philosophy conducted by candidate Alexander Hayes (3919493) titled 'The Socioethical Implications Of Body Worn Computers: An Ethnographic Study'. <br>The full thesis can be accessed at https://ro.uow.edu.au/theses1/853<br>This research was conducted in the Faculty of Engineering and Information Systems, School of Computing and Information Technology (SCIT), University of Wollongong with research strength Innovation in Business & Social Research under Principal Supervisor Professor Katina Michael (University of Wollongong) and Associate Supervisor Dr Teemu Leinonen (Aalto University Finland). This thesis explores the socioethical implications of body worn computers (BWC) using an ethnographic approach. Furthermore, a subset, body worn cameras (BWCs), combines data with value added constancy through Location Based Services (LBS) over wireless network connections. The aim of this investigation was to engage global leaders from transdisciplinary stakeholder groups in semi-structured interviews, conversations and events, situating a review of the social impact and ethical implications of BWCs. A critical discourse analysis using a Foucauldian approach reveals power relations, which are then infused through narrative with unique intercultural perspectives, differentiating ‘location’ from ‘place’. The author of this study has subsequently identified through Grounded Theory that BWCs are causal agency for disconnect from proper culture which can be addressed through the application of Ngikalikarra, a unique framework for empathetic understanding of place and community engagement.
DOI: 10.6084/m9.figshare.7093502.v1
title: Interview - Larry Johnson

description: This dataset 'Interview - Larry Johnson’ is a component of a Doctor Of Philosophy conducted by candidate Alexander Hayes (3919493) titled 'The Socioethical Implications Of Body Worn Computers: An Ethnographic Study'. <br>The full thesis can be accessed at https://ro.uow.edu.au/theses1/853<br>This research was conducted in the Faculty of Engineering and Information Systems, School of Computing and Information Technology (SCIT), University of Wollongong with research strength Innovation in Business & Social Research under Principal Supervisor Professor Katina Michael (University of Wollongong) and Associate Supervisor Dr Teemu Leinonen (Aalto University Finland). This thesis explores the socioethical implications of body worn computers (BWC) using an ethnographic approach. Furthermore, a subset, body worn cameras (BWCs), combines data with value added constancy through Location Based Services (LBS) over wireless network connections. The aim of this investigation was to engage global leaders from transdisciplinary stakeholder groups in semi-structured interviews, conversations and events, situating a review of the social impact and ethical implications of BWCs. A critical discourse analysis using a Foucauldian approach reveals power relations, which are then infused through narrative with unique intercultural perspectives, differentiating ‘location’ from ‘place’. The author of this study has subsequently identified through Grounded Theory that BWCs are causal agency for disconnect from proper culture which can be addressed through the application of Ngikalikarra, a unique framework for empathetic understanding of place and community engagement.
DOI: 10.25592/uhhfdm.1601
title: B7 Wolof (web)

description: The corpus comprises out of a collection of texts from discussion forums in the web, randomly chosen for their near-standard like orthography and language, and treating different topics. The texts are translated manually by a mother tongue speaker and automatically tagged by a part-of-speech tagger. No further annotation is provided. <strong>CLARIN Metadata summary for B7 Wolof (web) (CMDI-based)</strong> <strong>Title: </strong>B7 Wolof (web)<br> <strong>Description: </strong>The corpus comprises out of a collection of texts from discussion forums in the web, randomly chosen for their near-standard like orthography and language, and treating different topics. The texts are translated manually by a mother tongue speaker and automatically tagged by a part-of-speech tagger. No further annotation is provided.<br> <strong>Publication date: </strong>2015<br> <strong>Data owner: </strong> Dr. phil. Ines Fiedler<br> <strong>Contributors: </strong> Tom Güldemann (editor), Ines Fiedler (researcher), Peggy Jacob (researcher), Yokiko Morimoto (researcher), Anne Schwarz (researcher), Andreas Wetter (researcher)<br> <strong>Project: </strong> Special Research Centre 632 Information structure, German Research Foundation<br> <strong>Keywords: </strong> predicate-centered focus types, focus<br> <strong>Language: </strong> Wolof (wol)<br> <strong>Size: </strong> 15335 Token<br> <strong>Segmentation units: </strong> other<br> <strong>Genre: </strong> discourse<br> <strong>Modality: </strong> written
DOI: 10.25592/uhhfdm.1600
title: B7 Wolof (web)

description: The corpus comprises out of a collection of texts from discussion forums in the web, randomly chosen for their near-standard like orthography and language, and treating different topics. The texts are translated manually by a mother tongue speaker and automatically tagged by a part-of-speech tagger. No further annotation is provided. <strong>CLARIN Metadata summary for B7 Wolof (web) (CMDI-based)</strong> <strong>Title: </strong>B7 Wolof (web)<br> <strong>Description: </strong>The corpus comprises out of a collection of texts from discussion forums in the web, randomly chosen for their near-standard like orthography and language, and treating different topics. The texts are translated manually by a mother tongue speaker and automatically tagged by a part-of-speech tagger. No further annotation is provided.<br> <strong>Publication date: </strong>2015<br> <strong>Data owner: </strong> Dr. phil. Ines Fiedler<br> <strong>Contributors: </strong> Tom Güldemann (editor), Ines Fiedler (researcher), Peggy Jacob (researcher), Yokiko Morimoto (researcher), Anne Schwarz (researcher), Andreas Wetter (researcher)<br> <strong>Project: </strong> Special Research Centre 632 Information structure, German Research Foundation<br> <strong>Keywords: </strong> predicate-centered focus types, focus<br> <strong>Language: </strong> Wolof (wol)<br> <strong>Size: </strong> 15335 Token<br> <strong>Segmentation units: </strong> other<br> <strong>Genre: </strong> discourse<br> <strong>Modality: </strong> written
DOI: 10.25592/uhhfdm.1603
title: B7 Wolof (Wikipedia)

description: The corpus comprises out of a collection of texts from the Wolof Wikipedia, randomly chosen for their near-standard like orthography and language, and treating different topics. The texts are translated manually by a mother tongue speaker and automatically tagged by a part-of-speech tagger. No further annotation is provided. <strong>CLARIN Metadata summary for B7 Wolof (Wikipedia) (CMDI-based)</strong> <strong>Title: </strong>B7 Wolof (Wikipedia)<br> <strong>Description: </strong>The corpus comprises out of a collection of texts from the Wolof Wikipedia, randomly chosen for their near-standard like orthography and language, and treating different topics. The texts are translated manually by a mother tongue speaker and automatically tagged by a part-of-speech tagger. No further annotation is provided.<br> <strong>Publication date: </strong>2015<br> <strong>Data owner: </strong> Dr. phil. Ines Fiedler<br> <strong>Contributors: </strong> Tom Güldemann (editor), Ines Fiedler (researcher), Peggy Jacob (researcher), Yokiko Morimoto (researcher), Anne Schwarz (researcher), Andreas Wetter (researcher)<br> <strong>Project: </strong> Special Research Centre 632 Information structure, German Research Foundation<br> <strong>Keywords: </strong> predicate-centered focus types, focus<br> <strong>Language: </strong> Wolof (wol)<br> <strong>Size: </strong> 12725 Token<br> <strong>Segmentation units: </strong> other<br> <strong>Genre: </strong> wiki-article<br> <strong>Modality: </strong> written
DOI: 10.25592/uhhfdm.1602
title: B7 Wolof (Wikipedia)

description: The corpus comprises out of a collection of texts from the Wolof Wikipedia, randomly chosen for their near-standard like orthography and language, and treating different topics. The texts are translated manually by a mother tongue speaker and automatically tagged by a part-of-speech tagger. No further annotation is provided. <strong>CLARIN Metadata summary for B7 Wolof (Wikipedia) (CMDI-based)</strong> <strong>Title: </strong>B7 Wolof (Wikipedia)<br> <strong>Description: </strong>The corpus comprises out of a collection of texts from the Wolof Wikipedia, randomly chosen for their near-standard like orthography and language, and treating different topics. The texts are translated manually by a mother tongue speaker and automatically tagged by a part-of-speech tagger. No further annotation is provided.<br> <strong>Publication date: </strong>2015<br> <strong>Data owner: </strong> Dr. phil. Ines Fiedler<br> <strong>Contributors: </strong> Tom Güldemann (editor), Ines Fiedler (researcher), Peggy Jacob (researcher), Yokiko Morimoto (researcher), Anne Schwarz (researcher), Andreas Wetter (researcher)<br> <strong>Project: </strong> Special Research Centre 632 Information structure, German Research Foundation<br> <strong>Keywords: </strong> predicate-centered focus types, focus<br> <strong>Language: </strong> Wolof (wol)<br> <strong>Size: </strong> 12725 Token<br> <strong>Segmentation units: </strong> other<br> <strong>Genre: </strong> wiki-article<br> <strong>Modality: </strong> written
DOI: 10.5281/zenodo.4028931
title: Rocker-meth paper Supplementary Dataset

description: Data to reproduce meaningful analyses from the Rocker-meth paper
DOI: 10.6084/m9.figshare.7418459
title: Global Zoning and Exchangeability of Field Trial Residues Between Zones: Are There Systematic Differences in Pesticide Residues Across Geographies?

description: Mixed-effects models were used to evaluate the global zoning concept using residue data from a comprehensive database of supervised field trials performed in various countries and regions on a variety of pesticide–crop combinations. No statistically significant systematic differences in pesticide residues were found between zones among the pesticide uses examined. In addition, we conducted a simulation to assess the impact of using regional versus global datasets for calculating maximum residue limits (MRLs). The conclusion of this assessment supports the concept of exchangeability of pesticide residue values across geographic regions and opens the possibility of improving harmonization of pesticide regulatory standards by establishing more globally aligned MRLs. Supplemental material for this article is available online.
DOI: 10.6084/m9.figshare.7418459.v2
title: Global Zoning and Exchangeability of Field Trial Residues Between Zones: Are There Systematic Differences in Pesticide Residues Across Geographies?

description: Mixed-effects models were used to evaluate the global zoning concept using residue data from a comprehensive database of supervised field trials performed in various countries and regions on a variety of pesticide–crop combinations. No statistically significant systematic differences in pesticide residues were found between zones among the pesticide uses examined. In addition, we conducted a simulation to assess the impact of using regional versus global datasets for calculating maximum residue limits (MRLs). The conclusion of this assessment supports the concept of exchangeability of pesticide residue values across geographic regions and opens the possibility of improving harmonization of pesticide regulatory standards by establishing more globally aligned MRLs. Supplemental material for this article is available online.
DOI: 10.6084/m9.figshare.7835390.v4
title: EPA is Mandating the Normal Distribution

description: The United States Environmental Protection Agency (USEPA) is responsible for overseeing the cleanup of sites that fall within the jurisdiction of the Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA; also known as “Superfund”). This process almost always involves a remedial investigation/feasibility (RI/FS) study, including deriving upper confidence, prediction, and/or tolerance limits based on concentrations from a designated “background” area which are subsequently used to determine whether a remediated site has achieved compliance. Past USEPA guidance states outlying observations in the background data should not be removed based solely on statistical tests, but rather on some scientific or quality assurance basis. However, recent USEPA guidance states “extreme” outliers, based on tests that assume a normal (Gaussian) distribution, should always be removed from background data, and because “extreme” is not defined, USEPA has interpreted this to mean all outliers identified by a test should be removed. This article discusses problems with current USEPA guidance and how it contradicts past guidance, and illustrates USEPA’s current policy via a case study of the Portland, Oregon Harbor Superfund site. Additional materials, including R code, data, and documentation of correspondence are available in the online supplement.
DOI: 10.6084/m9.figshare.8952944.v1
title: A Bayesian Difference-in-Difference Framework for the Impact of Primary Care Redesign on Diabetes Outcomes

description: Although national measures of the quality of diabetes care delivery demonstrate improvement, progress has been slow. In 2008, the Minnesota legislature endorsed the patient-centered medical home (PCMH) as the preferred model for primary care redesign. In this work, we investigate the effect of PCMH-related clinic redesign and resources on diabetes outcomes from 2008 to 2012 among Minnesota clinics certified as PCMHs by 2011 by using a Bayesian framework for a continuous difference-in-differences model. Data from the Physician Practice Connections-Research Survey were used to assess a clinic’s maturity in primary care transformation, and diabetes outcomes were obtained from the MN Community Measurement program. These data have several characteristics that must be carefully considered from a modeling perspective, including the inability to match patients over time, the potential for dynamic confounding, and the hierarchical structure of clinics. An ad-hoc analysis suggests a significant correlation between PCMH-related clinic redesign and resources on diabetes outcomes; however, this effect is not detected after properly accounting for different sources of variability and confounding. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.7835390
title: EPA is Mandating the Normal Distribution

description: The United States Environmental Protection Agency (USEPA) is responsible for overseeing the cleanup of sites that fall within the jurisdiction of the Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA; also known as “Superfund”). This process almost always involves a remedial investigation/feasibility (RI/FS) study, including deriving upper confidence, prediction, and/or tolerance limits based on concentrations from a designated “background” area which are subsequently used to determine whether a remediated site has achieved compliance. Past USEPA guidance states outlying observations in the background data should not be removed based solely on statistical tests, but rather on some scientific or quality assurance basis. However, recent USEPA guidance states “extreme” outliers, based on tests that assume a normal (Gaussian) distribution, should always be removed from background data, and because “extreme” is not defined, USEPA has interpreted this to mean all outliers identified by a test should be removed. This article discusses problems with current USEPA guidance and how it contradicts past guidance, and illustrates USEPA’s current policy via a case study of the Portland, Oregon Harbor Superfund site. Additional materials, including R code, data, and documentation of correspondence are available in the online supplement.
DOI: 10.6084/m9.figshare.8952944
title: A Bayesian Difference-in-Difference Framework for the Impact of Primary Care Redesign on Diabetes Outcomes

description: Although national measures of the quality of diabetes care delivery demonstrate improvement, progress has been slow. In 2008, the Minnesota legislature endorsed the patient-centered medical home (PCMH) as the preferred model for primary care redesign. In this work, we investigate the effect of PCMH-related clinic redesign and resources on diabetes outcomes from 2008 to 2012 among Minnesota clinics certified as PCMHs by 2011 by using a Bayesian framework for a continuous difference-in-differences model. Data from the Physician Practice Connections-Research Survey were used to assess a clinic’s maturity in primary care transformation, and diabetes outcomes were obtained from the MN Community Measurement program. These data have several characteristics that must be carefully considered from a modeling perspective, including the inability to match patients over time, the potential for dynamic confounding, and the hierarchical structure of clinics. An ad-hoc analysis suggests a significant correlation between PCMH-related clinic redesign and resources on diabetes outcomes; however, this effect is not detected after properly accounting for different sources of variability and confounding. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.7418459.v1
title: Global Zoning & Exchangeability of Field Trial Residues between Zones: Are there Systematic Differences in Pesticide Residues across Geographies?

description: Mixed effects models were used to evaluate the global zoning concept using residue data from a comprehensive database of supervised field trials performed in various countries and regions on a variety of pesticide-crop combinations. No statistically significant systematic differences in pesticide residues were found between zones among the pesticide uses examined. In addition, we conducted a simulation to assess the impact of using regional vs. global datasets for calculating Maximum Residue Limits (MRLs). The conclusion of this assessment supports the concept of exchangeability of pesticide residue values across geographic regions and opens the possibility of improving harmonization of pesticide regulatory standards by establishing more globally aligned MRLs. [107 words]
DOI: 10.6084/m9.figshare.7835390.v3
title: EPA is Mandating the Normal Distribution

description: The United States Environmental Protection Agency (USEPA) is responsible for overseeing the cleanup of sites that fall within the jurisdiction of the Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA; also known as “Superfund”). This process almost always involves a remedial investigation/feasibility (RI/FS) study, including deriving upper confidence, prediction, and/or tolerance limits based on concentrations from a designated “background” area which are subsequently used to determine whether a remediated site has achieved compliance. Past USEPA guidance states outlying observations in the background data should not be removed based solely on statistical tests, but rather on some scientific or quality assurance basis. However, recent USEPA guidance states “extreme” outliers, based on tests that assume a normal (Gaussian) distribution, should always be removed from background data, and because “extreme” is not defined, USEPA has interpreted this to mean all outliers identified by a test should be removed. This article discusses problems with current USEPA guidance and how it contradicts past guidance, and illustrates USEPA’s current policy via a case study of the Portland, Oregon Harbor Superfund site. Additional materials, including R code, data, and documentation of correspondence are available in the online supplement.
DOI: 10.6084/m9.figshare.12671084
title: SI Donor and Acceptor Units in Cycloparaphenylenes.zip

description: Output files for coordinates and StrainViz fragments
DOI: 10.6084/m9.figshare.12671084.v1
title: SI Donor and Acceptor Units in Cycloparaphenylenes.zip

description: Output files for coordinates and StrainViz fragments
DOI: 10.5281/zenodo.4029503
title: Sense2StopSync

description: Sense2StopSync
DOI: 10.6084/m9.figshare.12954827
title: Hyperbaric Oxygen treatment for Diabetic Retinopathy and Neuropathy in a Streptozotocin induced Diabetic Rat Model

description: Dataset containing data for research paper: <b>Hyperbaric Oxygen treatment for Diabetic Retinopathy and Neuropathy in a Streptozotocin induced Diabetic Rat Model</b>
DOI: 10.6084/m9.figshare.12954827.v2
title: Hyperbaric Oxygen treatment for Diabetic Retinopathy and Neuropathy in a Streptozotocin induced Diabetic Rat Model

description: Dataset containing data for research paper: <b>Hyperbaric Oxygen treatment for Diabetic Retinopathy and Neuropathy in a Streptozotocin induced Diabetic Rat Model</b>
DOI: 10.6084/m9.figshare.12954827.v1
title: Hyperbaric Oxygen treatment for Diabetic Retinopathy and Neuropathy in a Streptozotocin induced Diabetic Rat Model

description: Dataset containing data for research paper: <b>Hyperbaric Oxygen treatment for Diabetic Retinopathy and Neuropathy in a Streptozotocin induced Diabetic Rat Model</b>
DOI: 10.7910/dvn/vwfkdg/eimau5
title: FigureA1.do

description: :unav
DOI: 10.7910/dvn/vwfkdg/kdp88k
title: LCD_v3.dta

description: Stata dataset
DOI: 10.7910/dvn/vwfkdg/g1php5
title: FigureA4.do

description: :unav
DOI: 10.7910/dvn/vwfkdg/kfbjdd
title: Figure9.do

description: :unav
DOI: 10.7910/dvn/vwfkdg/ve6dmp
title: Figure4.do

description: :unav
DOI: 10.7910/dvn/vwfkdg/hzndti
title: TableA2.do

description: :unav
DOI: 10.7910/dvn/vwfkdg/pqvbfx
title: FigureA3.do

description: :unav
DOI: 10.7910/dvn/vwfkdg/uoevpo
title: FigureA11.do

description: :unav
DOI: 10.7910/dvn/vwfkdg/plf7e2
title: Figure7.do

description: :unav
DOI: 10.7910/dvn/vwfkdg/f6ieav
title: DataSet_v21.tab

description: Stata dataset
DOI: 10.7910/dvn/vwfkdg/o0bpq5
title: fylkesmann_ed.tab

description: Stata dataset
DOI: 10.7910/dvn/vwfkdg/ntd7om
title: FigureA12.do

description: :unav
DOI: 10.7910/dvn/vwfkdg/dmmloz
title: Nomination2.tab

description: Excel dataset
DOI: 10.7910/dvn/vwfkdg/elinal
title: LeftRight.tab

description: Stata dataset
DOI: 10.7910/dvn/vwfkdg/tcmczl
title: FigureA13.do

description: :unav
DOI: 10.7910/dvn/vwfkdg/cpidfh
title: Figure5.do

description: :unav
DOI: 10.7910/dvn/vwfkdg/yvtbsl
title: FigureA8.do

description: :unav
DOI: 10.7910/dvn/vwfkdg/wc84rn
title: FigureA6.do

description: :unav
DOI: 10.7910/dvn/vwfkdg/ebkmbc
title: Figure6.do

description: :unav
DOI: 10.7910/dvn/vwfkdg/bskneu
title: MASTER.do

description: Please begin with this do file.
DOI: 10.7910/dvn/vwfkdg/weykwx
title: TableA1.do

description: :unav
DOI: 10.7910/dvn/vwfkdg/as9gtk
title: FigureA7.do

description: :unav
DOI: 10.7910/dvn/vwfkdg/ovflfj
title: FigureA9.do

description: :unav
DOI: 10.7910/dvn/vwfkdg/zdy9kv
title: Figure8.do

description: :unav
DOI: 10.7910/dvn/vwfkdg/12uxqm
title: Figure1.do

description: :unav
DOI: 10.7910/dvn/vwfkdg/wlgk0f
title: FigureA5.do

description: :unav
DOI: 10.7910/dvn/vwfkdg/q7luvb
title: ImportIncome.do

description: :unav
DOI: 10.7910/dvn/vwfkdg/vq3bce
title: Deaths_Cause.tab

description: Excel dataset
DOI: 10.7910/dvn/vwfkdg/momj5w
title: Deaths_EntireLists_v4.xlsx

description: Excel dataset
DOI: 10.7910/dvn/vwfkdg/1hdze6
title: FigureA10.do

description: :unav
DOI: 10.7910/dvn/vwfkdg/6qfgqy
title: FigureA2.do

description: :unav
DOI: 10.7910/dvn/vwfkdg/5y2gmy
title: Figure2.do

description: :unav
DOI: 10.7910/dvn/vwfkdg/iryf65
title: FigureA15.do

description: :unav
DOI: 10.7910/dvn/vwfkdg/pwnrxs
title: FigureA14.do

description: :unav