cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17615/s2s5-bs09
title: Essential services of clinical librarians in academic and health care settings: A cross-sectional study: Dataset

description: Survey instrument and dataset for published article. The authors conducted a cross-sectional study that provides a comprehensive summary of clinical librarian service models in the US, Canada, and the UK from. An online survey received 182 responses from clinical librarians in hospital and academic libraries. These clinical librarians shared the services they provide, patrons they work with, and the value they add to clinical environments. Full article was published in Medical Reference Services Quarterly, volume 21, issue 2, 2021.
DOI: 10.5281/zenodo.10608437
title: From Neurons to Neutrons: A Case Study in Interpretability
DOI: 10.5281/zenodo.10608438
title: From Neurons to Neutrons: A Case Study in Interpretability
DOI: 10.17615/vcg7-yj41
title: Meta-analysis of heterogeneity

description: Meta-analyses
Applying a Food and Drug Administration (FDA) method for opioid measurement dilemmas, we used meta-analytic techniques to quantify how much heterogeneity would have been observed across hypothetical state-comparison studies, each applying one of the 4 variants on the same sample (fixed effects). In preliminary analyses, Florida generally had higher opioid use than California, presumably due to an older population, scope of practice legislation and other factors.
DOI: 10.4121/4ac76595-67b4-478d-a5ed-19ed8b5b3094
title: Flow through dissolving rock microstructure: visualisation data

description: Visualisation of flow streamlines through a dissolving rock microstructure (in transparent), simulated with Finite Element (Stokes flow + erosion algorithm)
DOI: 10.4121/4ac76595-67b4-478d-a5ed-19ed8b5b3094.v2
title: Flow through dissolving rock microstructure: visualisation data

description: Visualisation of flow streamlines through a dissolving rock microstructure (in transparent), simulated with Finite Element (Stokes flow + erosion algorithm)
DOI: 10.4121/8d1b6375-0a5e-444d-ace9-42e720a2f11f
title: Faulted reservoir reactivation due to trap charging: visualisation data

description: Visualisation of pressure equilibration and fluid velocity across a rock reservoir separated by a sealing fault which reactivates due to trap charging.
DOI: 10.4121/8d1b6375-0a5e-444d-ace9-42e720a2f11f.v2
title: Faulted reservoir reactivation due to trap charging: visualisation data

description: Visualisation of pressure equilibration and fluid velocity across a rock reservoir separated by a sealing fault which reactivates due to trap charging.
DOI: 10.4121/a1dfacbe-b463-404f-a3d7-dab8485e6458
title: Data associated with the article: "Exploring the Viability of ChatGPT for Personal Data Anonymization in Government: A Comprehensive Analysis of Possibilities, Risks, and Ethical Implications"

description: Artificial Intelligence (AI) applications are expected to promote government service delivery and quality, more efficient handling of cases, and bias reduction in decision-making. One potential benefit of the AI tool ChatGPT is that it may support governments in the anonymization of data. However, it is not clear whether ChatGPT is appropriate to support data anonymization for public organizations. Hence, this study examines the possibilities, risks, and ethical implications for government organizations to employ ChatGPT in the anonymization of personal data. We use a case study approach, combining informal conversations, formal interviews, a literature review, document analysis and experiments to conduct a three-step study. First, we describe the technology behind ChatGPT and its operation. Second, experiments with three types of data (fake data, original literature and modified literature) show that ChatGPT exhibits strong performance in anonymizing these three types of texts. Third, an overview of significant risks and ethical issues related to ChatGPT and its use for anonymization within a specific government organization was generated, including themes such as privacy, responsibility, transparency, bias, human intervention, and sustainability. One significant risk in the current form of ChatGPT is a privacy risk, as inputs are stored and forwarded to OpenAI and potentially other parties. This is unacceptable if texts containing personal data are anonymized with ChatGPT. We discuss several potential solutions to address these risks and ethical issues. This study contributes to the scarce scientific literature on the potential value of employing ChatGPT for personal data anonymization in government. In addition, this study has practical value for civil servants who face the challenges of data anonymization in practice including resource-intensive and costly processes.<br>
DOI: 10.4121/a1dfacbe-b463-404f-a3d7-dab8485e6458.v1
title: Data associated with the article: "Exploring the Viability of ChatGPT for Personal Data Anonymization in Government: A Comprehensive Analysis of Possibilities, Risks, and Ethical Implications"

description: Artificial Intelligence (AI) applications are expected to promote government service delivery and quality, more efficient handling of cases, and bias reduction in decision-making. One potential benefit of the AI tool ChatGPT is that it may support governments in the anonymization of data. However, it is not clear whether ChatGPT is appropriate to support data anonymization for public organizations. Hence, this study examines the possibilities, risks, and ethical implications for government organizations to employ ChatGPT in the anonymization of personal data. We use a case study approach, combining informal conversations, formal interviews, a literature review, document analysis and experiments to conduct a three-step study. First, we describe the technology behind ChatGPT and its operation. Second, experiments with three types of data (fake data, original literature and modified literature) show that ChatGPT exhibits strong performance in anonymizing these three types of texts. Third, an overview of significant risks and ethical issues related to ChatGPT and its use for anonymization within a specific government organization was generated, including themes such as privacy, responsibility, transparency, bias, human intervention, and sustainability. One significant risk in the current form of ChatGPT is a privacy risk, as inputs are stored and forwarded to OpenAI and potentially other parties. This is unacceptable if texts containing personal data are anonymized with ChatGPT. We discuss several potential solutions to address these risks and ethical issues. This study contributes to the scarce scientific literature on the potential value of employing ChatGPT for personal data anonymization in government. In addition, this study has practical value for civil servants who face the challenges of data anonymization in practice including resource-intensive and costly processes.<br>
DOI: 10.5281/zenodo.10421087
title: Northward movement of the post-sunset plasma density enhancement peaks during the minor geomagnetic storm on 27 May 2021
DOI: 10.5281/zenodo.10421092
title: Northward movement of the post-sunset plasma density enhancement peaks during the minor geomagnetic storm on 27 May 2021
DOI: 10.5281/zenodo.10421086
title: Latitude variation of the post-sunset plasma density enhancement during the minor geomagnetic storm on 27 May 2021
DOI: 10.5281/zenodo.10608476
title: Latitude variation of the post-sunset plasma density enhancement during the minor geomagnetic storm on 27 May 2021
DOI: 10.17615/96dc-q571
title: Replication code for Metrics of wildfire risk in California

description: TEMPORARY - more to be added in future.
DOI: 10.6084/m9.figshare.23752014
title: Transcription of Pakistani mainstream politicians' public speeches and their followers' comments

description: Rafi, M. S., & Shafiq, Z. (2023). The Role of Political Hate Speech in Promoting Extreme Ideologies and Manipulating Public Discourse for Social Approval in Pakistan. <i>International Social Sciences Journal</i>,
DOI: 10.5281/zenodo.10307602
title: Bidirectional dataset

description: Results of the paper the evaluation of the paper "Bidirectional Paper-Repository Tracing in Software Engineering" accepted at MSR 2024. The script were used for an analysis of over 14000 papers in the Cs.SE category in Arxiv

Link to GitHub repository: https://github.com/oeg-upm/bidirectional_paper_repository_scripts

Extraction pipelines:

- https://github.com/SoftwareUnderstanding/RSEF (pdf)

- https://github.com/ctreude/SoftwareImpactHackathon2023_BiDirectional (latex)

The authors would like to acknowledge the Chan Zuckerberg Initiative for hosting the workshop that led to the development of this work.
DOI: 10.25345/c5057d382
title: MassIVE MSV000093979 - De novo nine-species benchmark peptide identifications for Casanovo and other methods
title: Predicted peptides for the 9-species de novo sequencing benchmark MSV000090982 as described in Yilmaz et al. [Yilmaz2023]. FTP directory contains outputs of 5 de novo peptide sequencing methods on the 9-species benchmark: Casanovo, Casanovo_bm (benchmark), PointNovo, DeepNovo and Novor. [Yilmaz2023] M. Yilmaz*, W. Fondrie*, W. Bittremieux*, R. Nelson, V. Ananth, S. Oh, and W. Noble,"Sequence-to-sequence translation from mass spectra to peptides with a transformer model", bioRxiv, 2023
DOI: 10.57967/hf/1736
title: SinhalaCorpusLarge
DOI: 10.5281/zenodo.10608479
title: Lifespan of SAT Techniques

description: This artifact contains all the log files we have collected for our paper "Life span of SAT techniques" and the presentation at the Pragmatics of SAT 2023 workshop.
DOI: 10.5281/zenodo.10608480
title: Lifespan of SAT Techniques

description: This artifact contains all the log files we have collected for our paper "Life span of SAT techniques" and the presentation at the Pragmatics of SAT 2023 workshop.
DOI: 10.21227/3yqy-cw57
title: Vertical and Horizontal Scene Text Recognition Dataset (WHU-VHTR)

description: Although the vertical Chinese text recognition dataset presented by Yu is public, it is reproduced from the PosterErase dataset \cite{jiang2022self}, collected from the e-commerce platform for the poster text erasing task, and does not contain the challenges from real application scenarios. In this section, we establish a benchmark dataset (Vertical and Horizontal Text Recognition Dataset, WHU-VHTR) to promote in-depth research on STR.  Vertical and Horizontal Scene Text Recognition Dataset (WHU-VHTR) is a dataset of 23674 images annotated with line-level transcriptions.
DOI: 10.3886/e100666v2-145786
title: Soviet macroeconomic data

description: <b>The project</b><br>The Soviet macroeconomic data was
compiled from published and archive materials to investigate relationship
between Soviet real and financial economies. The new data revealed that government
debt increased to compensate for inefficient use of funds for most of the
Soviet period. Given the difficulty in managing fiat money without information
and data generated by the market, and the simple Soviet financial structure,
the increasing debt suggests that non-performing financial assets accumulated
in the household sector, and inefficient real assets built up in the enterprise
sector. The empirical analysis using a small time-varying parameter vector
autoregression model identified that funds supplied to the economy had
contributed at a decreasing rate to economic growth during nearly the entire
Soviet period. Funds continued to be used wastefully, non-performing financial
assets accumulated, and consequently the value of the ruble was decreasing. In
this sense, Soviet monetary management was inefficient.<br><br><b>The files</b><br>The data file includes
all series used in the study. The description file gives explanations of the series and their
sources. It also includes the R and JAGS codes of the Soviet time-varying
parameter vector autoregression model.
DOI: 10.5281/zenodo.10517936
title: EBSD and P-wave velocity data for Moarefvand_etal_JGRSE_2024
DOI: 10.5281/zenodo.10517937
title: EBSD and P-wave velocity data for Moarefvand_etal_JGRSE_2024
DOI: 10.5281/zenodo.10606319
title: MS data of 4D label-free proteomics for cotton seedling roots in CK, AgNPs and Ag+ treatments

description: the MS data of the cotton seedlings root in CK, AgNPs and Ag+ treatments
DOI: 10.5281/zenodo.10606320
title: MS data of 4D label-free proteomics for cotton seedling roots in CK, AgNPs and Ag+ treatments

description: the MS data of the cotton seedlings root in CK, AgNPs and Ag+ treatments
DOI: 10.25345/c5vd6pg45
title: MassIVE MSV000093980 - Casanovo de novo peptide sequencing immunopeptidomics, metaproteomics and dark proteome
title: Predicted peptides for the immunopeptidomics, metaproteomics and dark proteome samples described in Yilmaz et al. [Yilmaz2023]. FTP directory contains mzTab outputs for Casanovo for these 3 datasets. [Yilmaz2023] M. Yilmaz*, W. Fondrie*, W. Bittremieux*, R. Nelson, V. Ananth, S. Oh, and W. Noble,"Sequence-to-sequence translation from mass spectra to peptides with a transformer model", bioRxiv, 2023
DOI: 10.15151/esrf-es-1468990540
title: Structural study of the tmRNA- SmpB complex with the stalled ribosome of Pseudomonas aeruginosa and Enterococcus faecium

description: Protein synthesis or translation, takes place on the ribosome. However, due to various stresses stalling of the ribosomes does often occur on mRNAs devoid of a terminating stop codon. All bacteria share a common unique biological mechanism for rescuing stalled ribosomes on a non-stop mRNA, called trans-translation and based on the transfer – messenger RNA (tmRNA) and the protein SmpB. Our precedent cryo-EM studies has already revealed the molecular basis of this mechanism in Escherichia coli. However, no one has yet clarified how tmRNA – SmpB intervenes on the ribosome during trans-translation on pathogenic bacteria. The proposed project aims at studying the molecular interactions between tmRNA-SmpB complexes and stalled ribosomes in six ESKAPE pathogens. This deep structural understanding of trans-translation in each ESKAPE pathogens will clarify the molecular basis for the specificity in trans-translation and help with the development of new antibiotics.
DOI: 10.5281/zenodo.10608615
title: Определение площадей зон деформации почвенного слоя
DOI: 10.5281/zenodo.10608616
title: Определение площадей зон деформации почвенного слоя
DOI: 10.5517/ccdc.csd.cc2dqx57
title: CCDC 2226549: Experimental Crystal Structure Determination

description: Related Article: Babasaheb Sopan Gore, Chun-Cheng Chen, Ping-Yu Lin, Jeh-Jeng Wang|2024|Org.Lett.|26|757|doi:10.1021/acs.orglett.3c04246
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dqx68
title: CCDC 2226550: Experimental Crystal Structure Determination

description: Related Article: Babasaheb Sopan Gore, Chun-Cheng Chen, Ping-Yu Lin, Jeh-Jeng Wang|2024|Org.Lett.|26|757|doi:10.1021/acs.orglett.3c04246
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dr49m
title: CCDC 2226770: Experimental Crystal Structure Determination

description: Related Article: Babasaheb Sopan Gore, Chun-Cheng Chen, Ping-Yu Lin, Jeh-Jeng Wang|2024|Org.Lett.|26|757|doi:10.1021/acs.orglett.3c04246
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.10554268
title: The dataset for sequence alignment and BLOSUM62 analysis
DOI: 10.5281/zenodo.10554269
title: The dataset for sequence alignment and BLOSUM62 analysis
DOI: 10.5281/zenodo.10608631
title: The dataset for sequence alignment and BLOSUM62 analysis
DOI: 10.5281/zenodo.7621034
title: Brondata: Evaluatie archeologie 2022. Kenniswinst archeologieregelgeving.

description: In deze zenodo-record zijn de brongegevens terug te vinden waarop de analyses uit het onderzoeksrapport "Kenniswinst archeologieregelgeving 2022" zijn gebaseerd. Dit onderzoeksrapport is toegankelijk op het Open Archives Repository (OAR) via deze link: https://doi.org/10.55465/JNST5318

"Ervynck A,  Haneca K,  Annaert R, In 't Ven I, Jansen I, Martens M, Meylemans E, Lentacker A 2023: Evaluatie archeologie 2022. Kenniswinst Archeologieregelgeving, Onderzoeksrapport Agentschap Onroerend Erfgoed, Brussel.":

Deze dataset omvat:

1. Een overzicht van alle ingediende eindverslagen (n = 228) en nota's met eindafwerking (n = 9) over de periode 1 januari t.e.m. 31 december 2022



eindverslagen_notas_2022_overzicht.csv (comma-separated values)

eindverslagen_notas_2022_overzicht.xlsx (Microsoft Excel Open XML Spreadsheet)

eindverslagen_notas_2022_overzicht.shp (ESRI shapefile)


     (Een overzicht van alle ingediende eindverslagen - vanaf 1 april 2016 tot vandaag - kan je ook downloaden als GIS-bestand op https://geo.onroerenderfgoed.be/downloads.)

2. De resultaten van de inhoudelijke screening (periodisering, materiaalcategorieën, ...) van deze documenten:



eindverslagen_notas_2022_screening.csv (comma-separated values)

eindverslagen_notas_2022_screening.xlsx (Microsoft Excel Open XML Spreadsheet)

eindverslagen_notas_2022_screening.shp (ESRI shapefile)
DOI: 10.5281/zenodo.7621035
title: Brondata: Evaluatie archeologie 2022. Kenniswinst archeologieregelgeving.

description: In deze zenodo-record zijn de brongegevens terug te vinden waarop de analyses uit het onderzoeksrapport "Kenniswinst archeologieregelgeving 2022" zijn gebaseerd. Dit onderzoeksrapport is toegankelijk op het Open Archives Repository (OAR) via deze link: https://doi.org/10.55465/JNST5318

"Ervynck A,  Haneca K,  Annaert R, In 't Ven I, Jansen I, Martens M, Meylemans E, Lentacker A 2023: Evaluatie archeologie 2022. Kenniswinst Archeologieregelgeving, Onderzoeksrapport Agentschap Onroerend Erfgoed, Brussel.":

Deze dataset omvat:

1. Een overzicht van alle ingediende eindverslagen (n = 228) en nota's met eindafwerking (n = 9) over de periode 1 januari t.e.m. 31 december 2022



eindverslagen_notas_2022_overzicht.csv (comma-separated values)

eindverslagen_notas_2022_overzicht.xlsx (Microsoft Excel Open XML Spreadsheet)

eindverslagen_notas_2022_overzicht.shp (ESRI shapefile)


     (Een overzicht van alle ingediende eindverslagen - vanaf 1 april 2016 tot vandaag - kan je ook downloaden als GIS-bestand op https://geo.onroerenderfgoed.be/downloads.)

2. De resultaten van de inhoudelijke screening (periodisering, materiaalcategorieën, ...) van deze documenten:



eindverslagen_notas_2022_screening.csv (comma-separated values)

eindverslagen_notas_2022_screening.xlsx (Microsoft Excel Open XML Spreadsheet)

eindverslagen_notas_2022_screening.shp (ESRI shapefile)
DOI: 10.57745/vipssw
title: Del1List

description: Del1List
DOI: 10.57745/xrrict
title: speDel2OutList.tab

description: speDel2OutList
DOI: 10.57745/1xfuen
title: Del1OutList

description: Del1OutList
DOI: 10.57745/kt3pwd
title: speDel6List.tab

description: speDel6List
DOI: 10.57745/pgkr5u
title: dataset1Checkm

description: Dataset1 checkm genome quality
DOI: 10.57745/wvqaui
title: SL3.3COutList

description: SL3.3COutList
DOI: 10.57745/x2rgn5
title: dataset2RatedatingTreemer301.xml

description: Dataset2 Rate dating subset Treemer 301 beast input file
DOI: 10.57745/yvnsyx
title: Del6List

description: Del6List
DOI: 10.57745/54ojoc
title: dataset2RatedatingAll1046.xml

description: Dataset2 rate dating beast input file
DOI: 10.57745/7b80wv
title: Del5List

description: Del5List
DOI: 10.57745/dxrl6j
title: Del2List

description: Del2List
DOI: 10.57745/qxeej3
title: speDel1OutList.tab

description: speDel1OutList
DOI: 10.57745/x9bhm4
title: speDel3OutList.tab

description: speDel3OutList
DOI: 10.57745/0etho1
title: Del4List

description: Del4List
DOI: 10.57745/hmtwui
title: Del3List

description: Del3List
DOI: 10.57745/iiqrdw
title: speDel4List.tab

description: speDel4List
DOI: 10.57745/ojxrcd
title: Del4OutList

description: Del4OutList
DOI: 10.57745/uvtr17
title: Del3OutList

description: Del3OutList
DOI: 10.57745/zl6ztd
title: speDel4OutList.tab

description: speDel4OutList
DOI: 10.57745/0cmex6
title: dataset1Pasnp.xmfa

description: Pasnp alignment dataset1
DOI: 10.57745/3pyw1g
title: dataset1TipdatingPhylostem.png

description: Dataset1 Tip dating Phylostem
DOI: 10.57745/pglzwr
title: dataset2Checkm

description: Dataset2 checkm genome quality
DOI: 10.57745/wh9i5c
title: dataset2TipdatingSL33.xml

description: Datsaet2 Tip dating beast input file SL3.3
DOI: 10.57745/wql8hg
title: dataset2TipdatingPhylostem.png

description: Dataset2 Tip-dating Phylostem
DOI: 10.57745/xce2wd
title: speSL3.3CList.tab

description: speSL3.3CList
DOI: 10.57745/85qdsg
title: datasDescription.docx

description: Dataset datas description
DOI: 10.57745/av52f1
title: dataset1RateDatingG309MaskSnpAln.xml

description: Dataset1 Rate Dating G309 beast input file
DOI: 10.57745/ds0whb
title: speDel3List.tab

description: speDel3List
DOI: 10.57745/ptfiko
title: speDel5OutList.tab

description: speDel5OutList
DOI: 10.57745/pxk5j2
title: Del2OutList

description: Del2OutList
DOI: 10.57745/7dszkt
title: speSL3.1_2List.tab

description: speSL3.1_2List
DOI: 10.57745/j7wzdw
title: SL3.3List

description: SL3.3List
DOI: 10.57745/prh36a
title: dataset2TipdatingAll868.xml

description: Dataset2 Tip dating beast input file All868
DOI: 10.57745/xyjcfc
title: SL3.3CList

description: SL3.3CList
DOI: 10.57745/zhsspk
title: dataset2TipdatingSL32.xml

description: Datsaet2 Tip dating beast input file SL3.2
DOI: 10.57745/5eqfr4
title: speSL3.3List.tab

description: speSL3.3List
DOI: 10.57745/cohplj
title: speDel1List.tab

description: speDel1List
DOI: 10.57745/ebeb95
title: SL3.1_2List

description: SL3.1_2List
DOI: 10.57745/ehuzhs
title: speDel5List.tab

description: speDel5List
DOI: 10.57745/pd1cdg
title: speDel2List.tab

description: speDel2List
DOI: 10.57745/uvljav
title: Del6OutList

description: Del6OutList
DOI: 10.57745/2mirab
title: dataset2TipdatingSL31.xml

description: Datsaet2 Tip dating beast input file SL3.1
DOI: 10.57745/4qtlmr
title: speSL3.3COutList.tab

description: speSL3.3COutList
DOI: 10.57745/pmshok
title: dataset1TipdatingG200maskSnpAlnDates.xml

description: Dataset1 Tip dating beast input file
DOI: 10.57745/qxptet
title: Del5OutList

description: Del5OutList
DOI: 10.57745/ub88gg
title: dataset2TipdatingPhylostemNodesPval005.tab

description: Dataset2 Tipdating Phylostem Pval
DOI: 10.57745/3rk7vz
title: dataset2ClonalFrameML.zip

description: Dataset2 ClonalFrame Analysis files
DOI: 10.57745/fhzhe3
title: datasDescription_v2.docx

description: Dataset datas description
DOI: 10.57745/j8tolo
title: Table_S2_Biosamples.xlsx

description: Strains analysed in dataset 1 and 2
DOI: 10.57745/m1l1vn
title: speDel6OutList.tab

description: speDel6OutList
DOI: 10.57745/vvhw6k
title: dataset2Pasnp.xmfa

description: Pasnp alignment dataset2
DOI: 10.57745/ybom6h
title: dataset1ClonalFrameML.zip

description: Dataset1 ClonalFrame Analysis files