cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7785693
title: Dataset for Green Transition Policies, Stakeholders and Practices in Serbia

description: This dataset contributed to deliverable 4.2 Regional Mapping Report and shows the Serbian mapping. This report is the second deliverable of WP4 – Measuring and assessing impacts and costs of a just green transition in the WB, of the GreenFORCE project. It was jointly authored by the WB project partners, as well as 2 subcontracted parties from the region. The EU Economic and Investment Plan for the WB includes a green agenda for the WB, with pillars to be pursued for transitioning towards a carbon-neutral economy. Such a shift will surely challenge the economies and societies in the WB. The social and policy context is yet fragile to allow for the development and mass distribution of green transition technologies, while human resources are not prepared and/or are insufficient to produce and implement innovation. Yet, the green transition also paves the way towards new development and resilience opportunities. The research will inform on the readiness/potential of societal actors (industry, academia, policymakers, civic society) to embrace the pathways to transformation, and will propose a framework for continuous monitoring of impacts and costs. The key findings and lessons learnt derived within WP4 will be transferred into the scientific papers and policy briefs (WP 2 & 3) and published under the dissemination events (WP5). Regional mapping is a key task for the research, contributing to initial data gathering and the refinement of the research proposal, and to the sub-question on the identification of sectors and territories affected by the transitions and current progress of transition practices. This is a participatory mapping, engaging local stakeholders and communities to reveal local knowledge. Each WB partner will produce the respective country report, and Co-PLAN will work on the final regional report. This deliverable is the final regional report. It will also include the mapping frame used to conduct the mapping process. The WB partners will do the mapping for their own countries. The PC will subcontract data gathering for the remaining countries. The mapping is done for actors, practices and policies in place, territories upon the level of relevance and potential for engaging in green transition; and sectors. All partners will design the mapping frame, using also knowledge from other mapping processes. The frame will contain the type of information to be collected, the standardisation of data entry, and the tailored instruments to be deployed for accessing information.
description: Sheet 1: Green Transition Policies in Serbia Sheet 2: Green Transition Stakeholders in Serbia Sheet 3: Green Transition Practices and Initiatives in Serbia
DOI: 10.5281/zenodo.7785692
title: Dataset for Green Transition Policies, Stakeholders and Practices in Serbia

description: This dataset contributed to deliverable 4.2 Regional Mapping Report and shows the Serbian mapping. This report is the second deliverable of WP4 – Measuring and assessing impacts and costs of a just green transition in the WB, of the GreenFORCE project. It was jointly authored by the WB project partners, as well as 2 subcontracted parties from the region. The EU Economic and Investment Plan for the WB includes a green agenda for the WB, with pillars to be pursued for transitioning towards a carbon-neutral economy. Such a shift will surely challenge the economies and societies in the WB. The social and policy context is yet fragile to allow for the development and mass distribution of green transition technologies, while human resources are not prepared and/or are insufficient to produce and implement innovation. Yet, the green transition also paves the way towards new development and resilience opportunities. The research will inform on the readiness/potential of societal actors (industry, academia, policymakers, civic society) to embrace the pathways to transformation, and will propose a framework for continuous monitoring of impacts and costs. The key findings and lessons learnt derived within WP4 will be transferred into the scientific papers and policy briefs (WP 2 & 3) and published under the dissemination events (WP5). Regional mapping is a key task for the research, contributing to initial data gathering and the refinement of the research proposal, and to the sub-question on the identification of sectors and territories affected by the transitions and current progress of transition practices. This is a participatory mapping, engaging local stakeholders and communities to reveal local knowledge. Each WB partner will produce the respective country report, and Co-PLAN will work on the final regional report. This deliverable is the final regional report. It will also include the mapping frame used to conduct the mapping process. The WB partners will do the mapping for their own countries. The PC will subcontract data gathering for the remaining countries. The mapping is done for actors, practices and policies in place, territories upon the level of relevance and potential for engaging in green transition; and sectors. All partners will design the mapping frame, using also knowledge from other mapping processes. The frame will contain the type of information to be collected, the standardisation of data entry, and the tailored instruments to be deployed for accessing information.
description: Sheet 1: Green Transition Policies in Serbia Sheet 2: Green Transition Stakeholders in Serbia Sheet 3: Green Transition Practices and Initiatives in Serbia
DOI: 10.5066/p9g6ynef
title: Tabular geochronologic and geochemical data from metasedimentary and associated rocks in the Lane Mountain area, San Bernardino County, California

description: This dataset provides geochronologic and geochemical data for selected metasedimentary and associated rock samples collected in the Lane Mountain area about 20 kilometers northwest of Barstow, California. Geochronologic data were obtained for 24 samples, and geochemical data were obtained for 5 of these. The dataset consists of four tables in csv (comma separated values) format: (1) sample localities and lithology; (2) LA-SF-ICPMS (Laser Ablation Sector Field Inductively Coupled Plasma Mass Spectrometry) U-Pb (uranium-lead) zircon geochronologic data; (3) SHRIMP-RG (Sensitive High-Resolution Ion Microprobe-Reverse Geometry) U-Pb zircon geochronologic data; and (4) whole-rock geochemical data determined by ICP-AES-MS (Inductively Coupled Plasma Atomic Emission Spectroscopy-Mass Spectrometry) and WDXRF (Wavelength Dispersive X-ray Fluorescence).
DOI: 10.3886/icpsr38618.v1
title: Federal Justice Statistics Program: Charges Filed Against Defendants in Criminal Cases in District Court, 2020
title: Version 1

description: The data contain records of charges filed against defendants whose cases were filed by United States attorneys in United States district court during fiscal year 2020. The data are charge-level records, and more than one charge may be filed against a single defendant. The data were constructed from the Executive Office for United States Attorneys (EOUSA) Central Charge file. The charge-level data may be linked to defendant-level data (extracted from the EOUSA Central System file) through the CS_SEQ variable, and it should be noted that some defendants may not have any charges other than the lead charge appearing on the defendant-level record. The Central Charge and Central System data contain variables from the original EOUSA files as well as additional analysis variables. Variables containing identifying information (e.g., name, Social Security Number) were either removed, coarsened, or blanked in order to protect the identities of individuals. These data are part of a series designed by Abt Associates and the Bureau of Justice Statistics. Data and documentation were prepared by Abt Associates.
description: Datasets: DS1: Federal Justice Statistics Program: Charges Filed Against Defendants in Criminal Cases in District Court, 2020
description: Charges filed against defendants in United States district court during fiscal year 2020.
DOI: 10.6084/m9.figshare.22181822
title: Angiotensin converting enzyme inhibitors and angiotensin II receptor blockers and outcomes in hospitalized patients with COVID-19: an updated systematic review and meta-analysis of randomized clinical trials

description: Our prior analysis demonstrated no significant difference in risk of mortality or disease progression among patients with COVID-19. With the availability of findings from randomized controlled trials (RCTs), we provide an updated review of RCTs which explored the outcomes among hospitalized patients with COVID-19 treated with Angiotensin Converting Enzyme inhibitor (ACEis)/Angiotensin Receptor Blockers (ARBs) versus control. This systematic review and meta-analysis covers RCTs exploring mortality, intensive care unit admission, and mechanical ventilation outcomes among hospitalized COVID-19 patients treated with ACEi/ARBs. Ten studies were included in this meta-analysis. For mortality with ACEi/ARB utilization among hospitalized COVID-19 patients, the pooled risk ratio (RR) was 0.97 (95% CI 0.64–1.47, p = 0.89) with heterogeneity of 26%. Further, the pooled RR for ACEi/ARB use on ICU admission and mechanical ventilation were 0.55 (0.55–1.08, p = 0.13) with a heterogeneity of 0% and 1.02 (0.78–1.32, p = 0.91) with a heterogeneity of 0%, respectively. Among hospitalized patients with COVID-19, the use of ACEi/ARB was not associated with increased risk of mortality, ICU admission, or mechanical ventilation compared to control. These findings support continuation of ACEi/ARB for whom baseline clinical indications for these agents exist.
DOI: 10.6084/m9.figshare.22181822.v1
title: Angiotensin converting enzyme inhibitors and angiotensin II receptor blockers and outcomes in hospitalized patients with COVID-19: an updated systematic review and meta-analysis of randomized clinical trials

description: Our prior analysis demonstrated no significant difference in risk of mortality or disease progression among patients with COVID-19. With the availability of findings from randomized controlled trials (RCTs), we provide an updated review of RCTs which explored the outcomes among hospitalized patients with COVID-19 treated with Angiotensin Converting Enzyme inhibitor (ACEis)/Angiotensin Receptor Blockers (ARBs) versus control. This systematic review and meta-analysis covers RCTs exploring mortality, intensive care unit admission, and mechanical ventilation outcomes among hospitalized COVID-19 patients treated with ACEi/ARBs. Ten studies were included in this meta-analysis. For mortality with ACEi/ARB utilization among hospitalized COVID-19 patients, the pooled risk ratio (RR) was 0.97 (95% CI 0.64–1.47, p = 0.89) with heterogeneity of 26%. Further, the pooled RR for ACEi/ARB use on ICU admission and mechanical ventilation were 0.55 (0.55–1.08, p = 0.13) with a heterogeneity of 0% and 1.02 (0.78–1.32, p = 0.91) with a heterogeneity of 0%, respectively. Among hospitalized patients with COVID-19, the use of ACEi/ARB was not associated with increased risk of mortality, ICU admission, or mechanical ventilation compared to control. These findings support continuation of ACEi/ARB for whom baseline clinical indications for these agents exist.
DOI: 10.6084/m9.figshare.13164320
title: Quantifying the determinants of the genome-wide diversity in Drosophila using iSMC

description: Data used to generate results presented in: <br> Barroso & Dutheil, 2023 (Biorxiv). The landscape of nucleotide diversity in <em>Drosophila melanogaster </em>is shaped by mutation rate variation <br> Scripts to analyse these data can be found in: <br> https://github.com/gvbarroso/ismc_dm_analyses <br> Instructions on how to reproduce the results can be found in the README file of the above repository.
DOI: 10.6084/m9.figshare.13164320.v4
title: Quantifying the determinants of the genome-wide diversity in Drosophila using iSMC

description: Data used to generate results presented in: <br> Barroso & Dutheil, 2022 (Biorxiv). Mutation rate variation shapes genome-wide diversity in Drosophila melanogaster. <br> Scripts to analyse these data can be found in: <br> https://github.com/gvbarroso/ismc_dm_analyses <br> Instructions on how to reproduce the results can be found in the README file of the above repository.
DOI: 10.5683/sp2/8jaedz
title: Practices Before Policy: Research Data Management Behaviours in Canada Dataset

description: This dataset is the underlining data for the publication "Practices Before Policy: Research Data Management Behaviours in Canada" consisting of data from 13 institutions that ran the surveys. The institutions include: Cape Breton University, École nationale d'administration publique (ENAP), Institut national de la recherche scientifique (INRS), Queen's University, Trinity Western University, Universite du Quebec a Trois-Rivieres, Université TELUQ, University of British Columbia, University of Ottawa, University of Toronto, University of Victoria, University of Waterloo, Western University. This research was conducted by a consortium of Canadian universities who had surveyed researchers to identify research data management (RDM) practices, needs and attitudes.
DOI: 10.3886/icpsr38615.v1
title: Federal Justice Statistics Program: Offenders Admitted to Prison, 2020
title: Version 1

description: The data contain records of sentenced offenders committed to the custody of the Bureau of Prisons (BOP) during fiscal year 2020. The data include commitments of United States District Court, violators of conditions of release (e.g., parole, probation, or supervised release violators), offenders convicted in other courts (e.g., military or District of Columbia courts), and persons admitted to prison as material witnesses or for purposes of treatment, examination, or transfer to another authority. These data include variables that describe the offender, such as age, race, citizenship, as well as variables that describe the sentences and expected prison terms. The data file contains original variables from the Bureau of Prisons' SENTRY database as well as additional analysis variables. Variables containing identifying information (e.g., name, Social Security Number) were either removed, coarsened, or blanked in order to protect the identities of individuals. These data are part of a series designed by the Urban Institute (Washington, D.C.) and the Bureau of Justice Statistics. Data and documentation were prepared by the Urban Institute through 2012. Data from 2013 and on were prepared by Abt Associates.
description: Datasets: DS1: Federal Justice Statistics Program: Offenders Admitted to Prison, 2020
description: Offenders in the custody of the United States Bureau of Prisons during fiscal year 2020.
DOI: 10.3886/icpsr38615
title: Federal Justice Statistics Program: Offenders Admitted to Prison, 2020
title: Archival Version

description: The data contain records of sentenced offenders committed to the custody of the Bureau of Prisons (BOP) during fiscal year 2020. The data include commitments of United States District Court, violators of conditions of release (e.g., parole, probation, or supervised release violators), offenders convicted in other courts (e.g., military or District of Columbia courts), and persons admitted to prison as material witnesses or for purposes of treatment, examination, or transfer to another authority. These data include variables that describe the offender, such as age, race, citizenship, as well as variables that describe the sentences and expected prison terms. The data file contains original variables from the Bureau of Prisons' SENTRY database as well as additional analysis variables. Variables containing identifying information (e.g., name, Social Security Number) were either removed, coarsened, or blanked in order to protect the identities of individuals. These data are part of a series designed by the Urban Institute (Washington, D.C.) and the Bureau of Justice Statistics. Data and documentation were prepared by the Urban Institute through 2012. Data from 2013 and on were prepared by Abt Associates.
description: Datasets: DS1: Federal Justice Statistics Program: Offenders Admitted to Prison, 2020
description: Offenders in the custody of the United States Bureau of Prisons during fiscal year 2020.
DOI: 10.5517/ccdc.csd.cc2d6vvb
title: CCDC 2211132: Experimental Crystal Structure Determination

description: Related Article: M. Czajkowski, Ł. Duda, S. J. Czarnocki, A. B. Szukalska, M. Guzik, J. Myśliwiec, M. Skoreński, B. Potaniec, J. Cybińska|2023|J.Mater.Chem.C|11|4426|doi:10.1039/D2TC04376A
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.cc2dzn24
title: CCDC 2233986: Experimental Crystal Structure Determination

description: Related Article: Zhicheng Jiang, Hongtu Zhao, Wenbo Wu, Kui Chen, Hui Yu, Ting Wang, Xin Huang, Na Wang, Lina Zhou, Hongxun Hao|2023|J.Mater.Chem.C|11|4375|doi:10.1039/D3TC00271C
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.cc2dzn35
title: CCDC 2233987: Experimental Crystal Structure Determination

description: Related Article: Zhicheng Jiang, Hongtu Zhao, Wenbo Wu, Kui Chen, Hui Yu, Ting Wang, Xin Huang, Na Wang, Lina Zhou, Hongxun Hao|2023|J.Mater.Chem.C|11|4375|doi:10.1039/D3TC00271C
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.cc2dzn46
title: CCDC 2233988: Experimental Crystal Structure Determination

description: Related Article: Zhicheng Jiang, Hongtu Zhao, Wenbo Wu, Kui Chen, Hui Yu, Ting Wang, Xin Huang, Na Wang, Lina Zhou, Hongxun Hao|2023|J.Mater.Chem.C|11|4375|doi:10.1039/D3TC00271C
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: 10.6084/m9.figshare.22304329.v1
title: Supplementary Material for: Sotorasib as first-line treatment for Advanced KRAS G12C-mutated Non-small cell lung cancer-A case report.

description: Mutations in the KRAS gene are the most common gain-of-function mutations found in lung adenocarcinomas. The most common mutation, KRAS G12C, is present in 13% of lung adenocarcinomas. Sotorasib (AMG-510) is an irreversible small molecule inhibitor targeting KRAS G12C. In preclinical studies, sotorasib treatment led to regression of KRAS G12C-mutated tumors and clinical efficacy in NSCLC was demonstrated in clinical trials. In May 2021, sotorasib received FDA approval for the treatment of locally advanced or metastatic KRAS G12C-mutated NSCLC who have received at least one prior systemic therapy. In this report, we present a case with metastatic, KRAS G12C mutated NSCLC who responded favorably to sotorasib as first-line therapy. The efficacy of sotorasib as first-line treatment in this patient was remarkable, which supports further study of sotorasib as first-line therapy for KRAS G12C-mutated NSCLC, especially fragile patients with comorbidities.
DOI: 10.25505/fiz.icsd.cc2fhgl0
title: CSD 2249192: Experimental Crystal Structure Determination

description: Related Article: T. Lindemann, O. Oeckler|2023|ICSD Communication|||
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc2fm6w5
title: CSD 2252797: Experimental Crystal Structure Determination

description: Related Article: Weiwei Dong, Wei Xu, Zhiying Guo, Yu Pan, Weishu Liu, Satishkumar Kulkarni, Xiaodong Li, Konstantin Glazyrin|2023|ICSD Communication|||
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc2fm6x6
title: CSD 2252798: Experimental Crystal Structure Determination

description: Related Article: Weiwei Dong, Wei Xu, Zhiying Guo, Yu Pan, Weishu Liu, Satishkumar Kulkarni, Xiaodong Li, Konstantin Glazyrin|2023|ICSD Communication|||
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc2fm6y7
title: CSD 2252799: Experimental Crystal Structure Determination

description: Related Article: Weiwei Dong, Wei Xu, Zhiying Guo, Yu Pan, Weishu Liu, Satishkumar Kulkarni, Xiaodong Li, Konstantin Glazyrin|2023|ICSD Communication|||
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.35078/roypyn
title: Replication Data for: Ficha epidemiológica de localidade: Distrito: Varginha| Município: Divisa Nova

description: Levantamento Triatomínico com operações de campo ocorridas em Minas Gerais pela Superintendência de Campanhas de Saúde Pública (SUCAM) e FUNASA (Fundação Nacional de Saúde), no período de 1979 a 1999, objetivando a busca da presença de vetores da doença de Chagas ou de vestígios dessa presença. A partir dela são orientadas as operações com inseticida (pt) Triatomine survey with field operations carried out in Minas Gerais by the Public Health Campaigns Superintendence (SUCAM) and FUNASA (National Health Foundation), from 1979 to 1999, aiming to search for the presence of Chagas disease vectors or traces of that presence. From it, operations with insecticide are guided (en) Encuesta de triatominos con operaciones de campo realizada en Minas Gerais por la Superintendencia de Campañas de Salud Pública (SUCAM) y FUNASA (Fundación Nacional de Salud), de 1979 a 1999, con el objetivo de buscar la presencia de vectores de la enfermedad de Chagas o rastros de esa presencia. Desde ella se orientan las operaciones con insecticida (es)