cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7597662
title: Replication Data for "Exploring Developer Views on Software Carbon Footprint and its Potential for Automated Reduction"

description: # Replication Data for "Exploring Developer Views on Software Carbon Footprint and its Potential for Automated Reduction" ## Overview Reducing software carbon footprint could contribute to efforts to avert climate change. Past research indicates that developers lack knowledge on energy consumption and carbon footprint, and existing reduction guidelines are difficult to apply. Therefore, we propose that automated reduction methods should be explored. However, such tools must be voluntarily adopted and regularly used to have an impact. In this study, we have conducted interviews and a survey (a) to explore developers' existing opinions, knowledge, and practices with regard to carbon footprint and energy consumption, and (b), to identify the requirements that automated reduction tools must meet to ensure adoption. Our findings offer a foundation for future research on practices, guidelines, and automated tools that address software carbon footprint. ## Data Contained in This Package - interview_survey_guide.pdf This file contains the interview and survey questions. - interview_responses.docx This file contains relevant material from the interviews. - survey_responses.xlsx This file contains all survey responses. Both interview and survey data has been anonymized to protect the privacy of the participants.
DOI: 10.5281/zenodo.7597661
title: Replication Data for "Exploring Developer Views on Software Carbon Footprint and its Potential for Automated Reduction"

description: # Replication Data for "Exploring Developer Views on Software Carbon Footprint and its Potential for Automated Reduction" ## Overview Reducing software carbon footprint could contribute to efforts to avert climate change. Past research indicates that developers lack knowledge on energy consumption and carbon footprint, and existing reduction guidelines are difficult to apply. Therefore, we propose that automated reduction methods should be explored. However, such tools must be voluntarily adopted and regularly used to have an impact. In this study, we have conducted interviews and a survey (a) to explore developers' existing opinions, knowledge, and practices with regard to carbon footprint and energy consumption, and (b), to identify the requirements that automated reduction tools must meet to ensure adoption. Our findings offer a foundation for future research on practices, guidelines, and automated tools that address software carbon footprint. ## Data Contained in This Package - interview_survey_guide.pdf This file contains the interview and survey questions. - interview_responses.docx This file contains relevant material from the interviews. - survey_responses.xlsx This file contains all survey responses. Both interview and survey data has been anonymized to protect the privacy of the participants.
DOI: 10.6084/m9.figshare.24137895
title: The supplementary data for land use projections"

description: This is the full dataset that is needed to run the model described in the paper (see title).<br><br><br>
DOI: 10.6084/m9.figshare.24137895.v1
title: test_data

description: The land use data and driving factor data used in this study
DOI: 10.5281/zenodo.8347919
title: Stakeholders Access to Data - Standardized Schema

description: The schema helps to streamline and enhance the understanding of access regimes while facilitating the creation of a machine-readable version for easier automation or embedding into software. By adopting this schema, the authors aim to provide a practical solution for enhancing data access and reuse while improving transparency and accountability in the process.
DOI: 10.5281/zenodo.8347918
title: Stakeholders Access to Data - Standardized Schema

description: The schema helps to streamline and enhance the understanding of access regimes while facilitating the creation of a machine-readable version for easier automation or embedding into software. By adopting this schema, the authors aim to provide a practical solution for enhancing data access and reuse while improving transparency and accountability in the process.
DOI: 10.6084/m9.figshare.18129482
title: Multiple sequence alignment, Marine Demosponges of Sweden

description: Multiple sequence alignment Generated in MAFFT v7.407--maxiterate 10 --thread 8 --threadtb 5 --threadit 0 --reorder --adjustdirectionaccurately --out <br>
DOI: 10.6084/m9.figshare.18129482.v1
title: Multiple sequence alignment, Marine Demosponges of Sweden

description: Multiple sequence alignment Generated in MAFFT v7.407--maxiterate 10 --thread 8 --threadtb 5 --threadit 0 --reorder --adjustdirectionaccurately --out <br>
DOI: 10.5281/zenodo.8347843
title: MSident demostration: datasets and databases

description: This repository contains the datasets used to demonstrate the capability of the MSident application to identify chemical compounds from resolved spectra. In addition, the databases utilized by MSident in the mentioned examples are also available in this repository to provide the necessary tools to reproduce the example (databases downloading date: in March 2023).
DOI: 10.5281/zenodo.8347842
title: MSident demostration: datasets and databases

description: This repository contains the datasets used to demonstrate the capability of the MSident application to identify chemical compounds from resolved spectra. In addition, the databases utilized by MSident in the mentioned examples are also available in this repository to provide the necessary tools to reproduce the example (databases downloading date: in March 2023).
DOI: 10.34740/kaggle/dsv/6476552
title: Global Crypto Currency Price Database
DOI: 10.15129/6bccdd95-1767-4245-88a0-6fa97fb43829
title: Data for: "Nucleation and growth in isothermal crystallization of Sodium Chloride from Water and Deuterium Oxide"

description: Dataset for publication. The dataset contains crystallisation kinetics measurement data from experiments as described in the publication "Nucleation and growth in isothermal crystallization of Sodium Chloride from Water and Deuterium Oxide" accepted Sept 2023 by MDPI journal Crystals. The data was used to form the plots in the paper. The dataset file contains short readme descriptions of the various subsections of the data. The data is in excel or origin spreadsheet format.
DOI: 10.6084/m9.figshare.20553108
title: Dataset of article: "<i>The Goldilocks Day for the prevention of excess adiposity among children and adolescents</i>"

description: This study is under consideration for publication in Frontiers in Public Health.The final manuscript is available here
DOI: 10.6084/m9.figshare.24033204
title: Halisarca ASAP

description: Species delimitation analysis for Halisarca n. sp. in Sweden
DOI: 10.6084/m9.figshare.23808384
title: Epitomics: Analysis of Plasma C9 Epitope Heterogeneity in the Plasma of Lung Cancer Patients and Control Subjects 2nd part

description: The human proteome is more complex than genetic code have predicted it. Sub-protein level provides us a more complex point of view in proteomics and an opportunity to examine epitopes biomarkers values. Epitomics is a recently emerging omics technology that monitors dynamic changes of protein details, epitopes in health and disease. In this study we examined three different complement C9 epitopes via monoclonal antibodies (BSI0449, BSI0581, BSI0639) in control and lung cancerous plasma with ELISA and LC MS/MS methods. Our results suggest that the immunoprecipitated complement C9 is structurally same but we found differences in posttranslational modification ratio and coprecipitated protein composition in control and lung cancerous plasma. We demonstrated that C9 protein heterogeneity exists and shows cancer association at the sub-molecular epitope level.
DOI: 10.6084/m9.figshare.23808384.v2
title: Epitomics: Analysis of Plasma C9 Epitope Heterogeneity in the Plasma of Lung Cancer Patients and Control Subjects 2nd part

description: The human proteome is more complex than genetic code have predicted it. Sub-protein level provides us a more complex point of view in proteomics and an opportunity to examine epitopes biomarkers values. Epitomics is a recently emerging omics technology that monitors dynamic changes of protein details, epitopes in health and disease. In this study we examined three different complement C9 epitopes via monoclonal antibodies (BSI0449, BSI0581, BSI0639) in control and lung cancerous plasma with ELISA and LC MS/MS methods. Our results suggest that the immunoprecipitated complement C9 is structurally same but we found differences in posttranslational modification ratio and coprecipitated protein composition in control and lung cancerous plasma. We demonstrated that C9 protein heterogeneity exists and shows cancer association at the sub-molecular epitope level.
DOI: 10.6084/m9.figshare.23808384.v1
title: Epitomics: Analysis of Plasma C9 Epitope Heterogeneity in the Plasma of Lung Cancer Patients and Control Subjects 2nd part

description: The human proteome is more complex than genetic code have predicted it. Sub-protein level provides us a more complex point of view in proteomics and an opportunity to examine epitopes biomarkers values. Epitomics is a recently emerging omics technology that monitors dynamic changes of protein details, epitopes in health and disease. In this study we examined three different complement C9 epitopes via monoclonal antibodies (BSI0449, BSI0581, BSI0639) in control and lung cancerous plasma with ELISA and LC MS/MS methods. Our results suggest that the immunoprecipitated complement C9 is structurally same but we found differences in posttranslational modification ratio and coprecipitated protein composition in control and lung cancerous plasma. We demonstrated that C9 protein heterogeneity exists and shows cancer association at the sub-molecular epitope level.
DOI: 10.5281/zenodo.268542
title: Nfr

description: All requirements not labeled with “F” are non-functional with the following types: A=Availability, L = Legal, LF = Look and feel, MN = Maintainability, O = Operational, PE = Performance, SC = Scalability, SE = Security, US = Usability, FT = Fault tolerance, and PO = Portability
DOI: 10.5281/zenodo.7780592
title: Halo CME modeling with ENLIL, EUHFORIA, DBM and EAM models

description: The modeling results of arrival time and impact speed for 12 halo CMEs obtained with ENLIL, EUHFORIA, DBM and EAM models, and described in the "<em>Model comparison for halo CME arrival times</em>" submitted to Space Weather journal. See README for the HaloCMEsData.zip file content.
DOI: 10.5281/zenodo.7780591
title: Halo CME modeling with ENLIL, EUHFORIA, DBM and EAM models

description: The modeling results of arrival time and impact speed for 12 halo CMEs obtained with ENLIL, EUHFORIA, DBM and EAM models, and described in the "<em>Refined modeling of geoeffective fast halo CMEs during solar cycle 24</em>" submitted to Space Weather journal. See README for the HaloCMEsData.zip file content.
DOI: 10.6084/m9.figshare.24131451
title: Nwestbladi. All files

description: Data related to the manuscript: "The draft genome of the microscopic <i>Nemertoderma </i><i>westbladi</i> sheds light on the evolution of Acoelomorpha genomes."<br>
DOI: 10.15131/shef.data.24125715
title: Sensor signals for machine tool and process health assessment.

description: During the current experimental testing, sensor data was collected to assess the condition of a machine tool via a 'fingerprint routine' that could be run at regular intervals, and a milling machining process of an aluminium workpiece. Physically simulated faults and errors were introduced to detect these in the collected signals. Machine tool failure modes: Heavy tool– Load a significantly heavier tool than the baseline tool. Unbalanced– Load a tool that has a lower balancing classification than the baseline tool. Feedrate-adjusted– Conduct the fingerprint routine with a set of marginally reduced feed rate and spindle speed overrides (corresponding to an even spread of 6-10% reduction). Machining process failure modes: Misalignment – Tilt machine tool’s bed by A: 0.27°, B: 0.27°, C: 0.32°. Surface cracks – Drill 1.84mm diameter bores into the part, on the cutting path, before recorded trials. Tool wear – Wear the cutting tool severely before recorded trials. The machining trials consisted of straight up-milling face cuts on 24 workpieces of aluminium with dimensions 200 x 120 x 85 mm held on a LANG vice inside a DMG Mori DMU 40 eVo linear CNC 5-axis milling machine. The ‘fingerprint routine’ consisted of isolated and combined movements of the X-, Y-, and Z-axes, as well as rotation of the spindle. Further details about the experimental procedures and the research can be found in the following publication: "The application of machine learning to sensor signals for machine tool and process health assessment", https://doi.org/10.1177/0954405420960892
DOI: 10.15131/shef.data.24125715.v1
title: Sensor signals for machine tool and process health assessment.

description: During the current experimental testing, sensor data was collected to assess the condition of a machine tool via a 'fingerprint routine' that could be run at regular intervals, and a milling machining process of an aluminium workpiece. Physically simulated faults and errors were introduced to detect these in the collected signals. Machine tool failure modes: Heavy tool– Load a significantly heavier tool than the baseline tool. Unbalanced– Load a tool that has a lower balancing classification than the baseline tool. Feedrate-adjusted– Conduct the fingerprint routine with a set of marginally reduced feed rate and spindle speed overrides (corresponding to an even spread of 6-10% reduction). Machining process failure modes: Misalignment – Tilt machine tool’s bed by A: 0.27°, B: 0.27°, C: 0.32°. Surface cracks – Drill 1.84mm diameter bores into the part, on the cutting path, before recorded trials. Tool wear – Wear the cutting tool severely before recorded trials. The machining trials consisted of straight up-milling face cuts on 24 workpieces of aluminium with dimensions 200 x 120 x 85 mm held on a LANG vice inside a DMG Mori DMU 40 eVo linear CNC 5-axis milling machine. The ‘fingerprint routine’ consisted of isolated and combined movements of the X-, Y-, and Z-axes, as well as rotation of the spindle. Further details about the experimental procedures and the research can be found in the following publication: "The application of machine learning to sensor signals for machine tool and process health assessment", https://doi.org/10.1177/0954405420960892
DOI: 10.34740/kaggle/dsv/6476954
title: AutoXGB
DOI: 10.34740/kaggle/dsv/6476955
title: OnlineFree
DOI: 10.6084/m9.figshare.24145503.v2
title: Data of the paper titled 'Magmatism of Shatsky Rise controlled by plume-ridge interaction' in Nature Geoscience

description: Data of the paper titled 'Magmatism of Shatsky Rise controlled by plume-ridge interaction' in Nature Geoscience at https://doi.org/10.1038/s41561-023-01286-0.
DOI: 10.6084/m9.figshare.24145503.v1
title: Datasets_final.zipData of the paper titled 'Magmatism of Shatsky Rise controlled by plume-ridge interaction' in Nature Geoscience

description: Data of the paper titled 'Magmatism of Shatsky Rise controlled by plume-ridge interaction' in Nature Geoscience at https://doi.org/10.1038/s41561-023-01286-0.
DOI: 10.17632/74ycfbf6vk.1
title: Cultural distance, firm boundaries, and global sourcing

description: Casual observation suggests that cultural differences play an important role in business transactions, yet systematic evidence on this relationship is scarce. This paper provides a novel investigation of the effect of cultural distance on multinational firms’ decisions to integrate their cooperation partners into firm boundaries, rather than transact with independent companies at arm’s-length. To guide our empirical analysis, we develop a simple theoretical model which suggests that (i) cultural distance between contracting parties decreases the relative attractiveness of integration, and (ii) this effect is mitigated in more productive firms. We test these predictions using extensive product-, industry-, and firm-level data. We find a robust negative relationship between cultural distance and the relative attractiveness of integration. In line with our theoretical predictions, we also find that the effect of cultural distance on firm boundaries is less pronounced the higher firm’s productivity. https://doi.org/10.1016/j.jdeveco.2023.103175
DOI: 10.5281/zenodo.8348063
title: Preparatory Process in Advance of Runaway Fault Rupture through Fluid Injection observed in Laboratory Experiments using a Large Specimen of Sub-meter scale

description: Fault slip is initiated by locally applied fluid pressure, and it can expand unstably over a wide area causing elastic waves having magnitudes that induce felt or destructive earthquakes. Thus, it is important to examine the unstable expansion of initial slips. However, it is hard to reproduce the process by general setup of laboratory experiment such as triaxial loading tests on cylindrical specimens with inclined faults. In this study, we prepared a cubic specimen of sub-meter scale, which was separated into two triangular prisms by a model fault. The specimen was subjected to bi-axial compressions with different magnitudes. A 2D array of strain gauges was embedded beneath the fault plane to measure the changes in shear strain with the fault slip driven by fluid injection. Based on the experimental results, we discussed the features of fault slips that lead to injection-induced earthquake. The dataset obtained by the experiments were presented in the current data repository.
DOI: 10.5517/ccdc.csd.cc2cmqmc
title: CCDC 2193703: Experimental Crystal Structure Determination

description: Related Article: Zhen-Zhen Xue, Yi-Lin Wang, Jing Yang, Hai-Feng Sun, Jie Pan|2023|Cryst.Growth Des.|23|6960|doi:10.1021/acs.cgd.3c00796
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.cc2d1rfn
title: CCDC 2206221: Experimental Crystal Structure Determination

description: Related Article: Supaphorn Thammakan, Malee Sinchow, Natthiti Chiangraeng, Nobuto Yoshinari, Takumi Konno, Athipong Ngamjarurojana, Piyarat Nimmanpipug, Apinpus Rujiwatra|2023|Cryst.Growth Des.|23|6840|doi:10.1021/acs.cgd.3c00680
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.cc2d1rlt
title: CCDC 2206226: Experimental Crystal Structure Determination

description: Related Article: Supaphorn Thammakan, Malee Sinchow, Natthiti Chiangraeng, Nobuto Yoshinari, Takumi Konno, Athipong Ngamjarurojana, Piyarat Nimmanpipug, Apinpus Rujiwatra|2023|Cryst.Growth Des.|23|6840|doi:10.1021/acs.cgd.3c00680
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.cc2d1rpx
title: CCDC 2206229: Experimental Crystal Structure Determination

description: Related Article: Supaphorn Thammakan, Malee Sinchow, Natthiti Chiangraeng, Nobuto Yoshinari, Takumi Konno, Athipong Ngamjarurojana, Piyarat Nimmanpipug, Apinpus Rujiwatra|2023|Cryst.Growth Des.|23|6840|doi:10.1021/acs.cgd.3c00680
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.cc2dr3w5
title: CCDC 2226757: Experimental Crystal Structure Determination

description: Related Article: Mariana Darii, Jan van Leusen, Victor Ch. Kravtsov, Yurii Chumakov, Karl Krämer, Silvio Decurtins, Shi-Xia Liu, Paul Kögerler, Svetlana G. Baca|2023|Cryst.Growth Des.|23|6944|doi:10.1021/acs.cgd.3c00783
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.cc2dzb0r
title: CCDC 2233674: Experimental Crystal Structure Determination

description: Related Article: Xiaomei Wang, Yufen Li, Zhenqi Tan, Lanqing Liu, Yong-Hua Li, Xinhui Zhou, Yujian You, Shi Wang, Hong-Ping Xiao|2023|Cryst.Growth Des.|23|6851|doi:10.1021/acs.cgd.3c00685
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.cc2fw97w
title: CCDC 2260558: Experimental Crystal Structure Determination

description: Related Article: Zhi-Yuan Yue, Lin Xiang, Na Wang, Liang-Liang Zou, Le-Ping Miao, Heng-Yun Ye, Chao Shi|2023|Cryst.Growth Des.|23|6860|doi:10.1021/acs.cgd.3c00693
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.cc2fcn8r
title: CCDC 2245524: Experimental Crystal Structure Determination

description: Related Article: Wanli Zhou, Ziqi Zhao, Jinyang Li, Yanping Zheng, Ying Lv, Xiao Chen, Lihai Fu, Jun Peng|2023|Cryst.Growth Des.|23|6894|doi:10.1021/acs.cgd.3c00722
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.cc2fcn9s
title: CCDC 2245525: Experimental Crystal Structure Determination

description: Related Article: Wanli Zhou, Ziqi Zhao, Jinyang Li, Yanping Zheng, Ying Lv, Xiao Chen, Lihai Fu, Jun Peng|2023|Cryst.Growth Des.|23|6894|doi:10.1021/acs.cgd.3c00722
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.