cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5720625
title: FAIR Data Package of a Tribological Showcase Pin-on-Disk Experiment

description: To assess the feasibility of producing FAIR data via the integration of a controlled vocabulary, an ontology, and an ELN, this dataset demonstrates the implementation of a tribological experiment while accounting for as many details as possible. The showcase experiment had a lubricated pin-on-disk arrangement, ran at 15 N normal load and a velocity range of 20 to 170 mm/s. With this dataset, we hope to provide a possible blueprint for FAIR data publication in experimental tribology. https://www.nature.com/articles/s41597-022-01429-9 - Garabedian, N.T., Schreiber, P.J., Brandt, N., Greiner, C., et al. Quick start with the dataset in README.txt (<em>included in the newest version of the dataset</em>) Abstract: Generating FAIR research data in experimental tribology. Sci Data 9, 315 (2022). Digital solutions for the generation of FAIR (Findable, Accessible, Interoperable and Reusable) data and metadata in experimental tribology are currently lacking, despite the looming challenge of integrating cutting-edge data science techniques – a promising scientific route for any field that often relies on phenomenology and empiricism. Additionally, the broad interdisciplinarity of tribology is probably a main contributing factor for the lack of community-wide data and metadata standards, and the heavy reliance on custom workflows and equipment. This paper, first, outlines a sample framework for scalable generation of FAIR data, and second, delivers a showcase FAIR data package for a pin-on-disk tribological experiment. The resulting curated data, consisting of 2,008 key-value pairs and 1,696 logical axioms, is the result of (1) the close collaboration with developers of a virtual research environment, (2) crowd-sourced controlled vocabulary, (3) ontology building and (4) numerous – seemingly – small-scale digital tools. Thereby, this paper demonstrates a collection of scalable non-intrusive techniques that extend the life, reliability and reusability of experimental tribological data beyond typical publication practices. https://youtu.be/xwCpRDnPFvs - Generating FAIR Research Data in Experimental Tribology - Get Scientific Results Ready for ML https://doi.org/10.5281/zenodo.5720626 - FAIR Data Package of a Tribological Showcase Pin-on-Disk Experiment https://doi.org/10.5281/zenodo.5720198 or https://github.com/nick-garabedian/TriboDataFAIR-Ontology or https://fairsharing.org/3597 - TriboDataFAIR Ontology https://doi.org/10.5281/zenodo.5720218 or https://github.com/nick-garabedian/SurfTheOWL - SurfTheOWL https://kadi4mat.iam-cms.kit.edu/ - Kadi4Mat Virtual Research Environment and Electronic Lab Notebook
description: {"references": ["Garabedian, N.T., Schreiber, P.J., Brandt, N. et al. Generating FAIR research data in experimental tribology. Sci Data 9, 315 (2022). https://doi.org/10.1038/s41597-022-01429-9"]}
DOI: 10.5281/zenodo.4922751
title: IceAq - piezometric data

description: Groundwater level and piezometric data acquired in Breiðamerkursandur, Suðursveit and Mýrar (south-eastern Iceland) during IceAq project (04/2021 to 03/2023).
DOI: 10.5281/zenodo.5172180
title: IceAq - piezometric data

description: Groundwater level and piezometric data acquired in Suðursveit and Mýrar (south-eastern Iceland) during IceAq project (04/2021 to 03/2023).
DOI: 10.5281/zenodo.4922750
title: IceAq - groundwater data, monthly manual data

description: <strong>G</strong><strong>roundwater level, </strong><strong>temperature, and sometimes electro-conductivity (EC) </strong><strong> in </strong><strong>two</strong><strong> aquifers- </strong><strong>Monthly manual data, 18 boreholes and 1</strong><strong>0</strong><strong> springs</strong> Map localising the 18 boreholes and 10 springs (2 textfiles, 6Ko): 14 boreholes selected among the abandoned ones, and 4 new ones drilled downstream of Fláajökull, on a line toward the coast (FLA1, FLA2, FLA3, FLA4). The network thus constitutes of 13 boreholes in the basalt formation and 5 in the till and glacio-fluvial formation. In addition, we monitored 10 depression springs, 4 from the basalt aquifer and 7 from the till and glacio-fluvial deposits aquifer. All boreholes and springs were localised using a differential GPS in September 2021. 1 spreadsheet with 6 sheets, 40 ko: Monthly measurements 5 to 7 times a year of the groundwater level, water temperature and water EC with a manual piezometric probe (Solinst TLC Meter 107). The springs are controlled visually, and their temperature and EC monitored with the TLC Meter. A participatory approach involving Glacier Adventure, a tourism and educational company based in Hali, allows the monthly monitoring of 3 of the boreholes in the basalt aquifer all year round with an Hydrotechnik Water level meter. Origin: MSCA Project Number: 885891 Project Acronym: IceAq Project title: Proglacial and subglacial aquifers: their evolution under climate change and the potential impacts in terms of resources and natural hazards, through the case of eastern Iceland Period of data collection: from May 2021 to September 2022. Area of data collection: Iceland, south-east of Vatnajökull, Suðursveit and Mýrar. Accessibility: The data can be read using e.g. the following open source softwares: LibreOffice (https://www.libreoffice.org), QGIS (https://qgis.org).
DOI: 10.6084/m9.figshare.21746645
title: A complete genome sequence of Podosphaera xanthii race 2 F, the causal agent of powdery mildew isolated from cucumber in China

description: The gene annotation information of <em>P. xanthii</em> isolate YZU573, which include conding sequences (yzu573.cds), protein sequences (YZU573.pep), and a gene annotation file (Integrated_Function.annotation). The genome sequence of <em>P. xanthii</em> isolate YZU573 that described in this paper has been deposited at GenBank with the accession number PRJNA913294.
DOI: 10.6084/m9.figshare.21746645.v1
title: A Genome Resource for Podosphaera xanthii race 2 F, the Causal Agent of Cucumber powdery mildew

description: The gene annotation information of <em>P. xanthii</em> isolate YZU573, which include conding sequences (yzu573.cds), genome annotation file (YZU573.GFF3), protein sequences (YZU573.pep), and a gene annotation file (Integrated_Function.annotation). The genome sequence of <em>P. xanthii</em> isolate YZU573 that described in this paper has been deposited at GenBank with the accession number PRJNA913294.
DOI: 10.5281/zenodo.7669168
title: Data on learning about green space management by upper secondary school students

description: A workshop survey -dataset detailing how upper secondary school students learn about green space management.
description: This dataset was funded by the Strategic Research Council, Academy of Finland through the CO-CARBON project (project number: 335203).
DOI: 10.5281/zenodo.7669169
title: Data on learning about green space management by upper secondary school students

description: A workshop survey -dataset detailing how upper secondary school students learn about green space management.
description: This dataset was funded by the Strategic Research Council, Academy of Finland through the CO-CARBON project (project number: 335203).
DOI: 10.5281/zenodo.3531418
title: StromJan/Raster4H: Raster4H 2.0

description: Some problems with tif files fixed.
DOI: 10.5281/zenodo.7436530
title: StromJan/Raster4H: Raster4H 2.0

description: Added tif-versions for each map (thanks to https://github.com/saskartt) and fixed file naming.
DOI: 10.5281/zenodo.7442799
title: StromJan/Raster4H: Raster4H 2.0

description: Some problems with tif files fixed.
DOI: 10.5281/zenodo.7716476
title: A use-case-driven approach for demonstrating the added value of digitalisation in wind energy - extended version of Table 1

description: This is the extended version of Table 1 from the paper "A use-case-driven approach for demonstrating the added value of digitalisation in wind energy" published in the Journal of Physics: Conference Series for WindEurope 2023. Digitalisation is one of the key drivers for reducing the costs and risks of wind energy. When considering whether to embark on a digitalisation initiative, two key questions arise. The first is what business or operational opportunities might feasibly be addressed and the second is which of the many potential aspects of digitalisation are relevant to those opportunities. In this work, we show how these questions can be answered with a use-case-driven approach, based around a survey aiming to collect and collate the main "pain points" (or everyday challenges) of people in the wind energy sector. Although the relatively low number of participants of the survey (46) means that the results should only be used indicatively, it is still possible to make some general recommendations for priorities for digitalisation efforts in the wind energy sector. Firstly, digitalisation efforts should focus both on supporting people carrying out cross-lifecycle tasks, in particular sharing data, managing data, undertaking general data analyses and accessing data. Tools to do this should deal with varying data formats and naming conventions, make metadata more accessible, define data and metadata standards, make more data publicly available and improve the quality of data. Secondly, efforts should also focus on supporting people in the wind farm operational phase, in particular with failure detection, fault diagnosis, failure rate modelling and predictive maintenance. Solutions to do this should focus on accessible and validated tools for fault detection, cloud or other data pipeline solutions for SCADA data and tools for exhaustive data documentation. Finally, digitalisation efforts should focus on better communicating and helping people become aware of existing solutions and tools, as well as on helping people to exert a stronger influence on possible solutions. <br>
DOI: 10.5281/zenodo.7716475
title: A use-case-driven approach for demonstrating the added value of digitalisation in wind energy - extended version of Table 1

description: This is the extended version of Table 1 from the paper "A use-case-driven approach for demonstrating the added value of digitalisation in wind energy" published in the Journal of Physics: Conference Series for WindEurope 2023. Digitalisation is one of the key drivers for reducing the costs and risks of wind energy. When considering whether to embark on a digitalisation initiative, two key questions arise. The first is what business or operational opportunities might feasibly be addressed and the second is which of the many potential aspects of digitalisation are relevant to those opportunities. In this work, we show how these questions can be answered with a use-case-driven approach, based around a survey aiming to collect and collate the main "pain points" (or everyday challenges) of people in the wind energy sector. Although the relatively low number of participants of the survey (46) means that the results should only be used indicatively, it is still possible to make some general recommendations for priorities for digitalisation efforts in the wind energy sector. Firstly, digitalisation efforts should focus both on supporting people carrying out cross-lifecycle tasks, in particular sharing data, managing data, undertaking general data analyses and accessing data. Tools to do this should deal with varying data formats and naming conventions, make metadata more accessible, define data and metadata standards, make more data publicly available and improve the quality of data. Secondly, efforts should also focus on supporting people in the wind farm operational phase, in particular with failure detection, fault diagnosis, failure rate modelling and predictive maintenance. Solutions to do this should focus on accessible and validated tools for fault detection, cloud or other data pipeline solutions for SCADA data and tools for exhaustive data documentation. Finally, digitalisation efforts should focus on better communicating and helping people become aware of existing solutions and tools, as well as on helping people to exert a stronger influence on possible solutions. <br>
DOI: 10.5281/zenodo.6555484
title: Dataset for deep-learning density functional theory Hamiltonian for efficient ab initio electronic-structure calculation

description: Dataset files of atomic structures and Hamiltonian matrices of graphene, MoS<sub>2</sub>, bilayer graphene and bilayer bismuthene. Please note that the DFT results in this dataset were calculated using OpenMX. This means that if you want to use a DeepH model trained on this dataset to calculate properties, you need to use the overlap calculated using OpenMX. The orbital information required for overlap calculations can be found in the paper.
DOI: 10.5281/zenodo.6555483
title: Dataset for deep-learning density functional theory Hamiltonian for efficient ab initio electronic-structure calculation

description: Dataset files of atomic structures and Hamiltonian matrices of graphene, MoS<sub>2</sub>, bilayer graphene and bilayer bismuthene. Please note that the DFT results in this dataset were calculated using OpenMX. This means that if you want to use a DeepH model trained on this dataset to calculate properties, you need to use the overlap calculated using OpenMX. The orbital information required for overlap calculations can be found in the paper.
DOI: 10.15454/g3gbjc/13j9hu
title: phbv_raw_result.json
DOI: 10.15454/g3gbjc/4d6lfu
title: biomass_raw_result.json
DOI: 10.15454/g3gbjc/8hlnjo
title: biomass_raw_result.tab
DOI: 10.15454/g3gbjc/k4huim
title: biomass_query.json
DOI: 10.15454/g3gbjc/ptcflh
title: composite_raw_result.tab
DOI: 10.15454/g3gbjc/ripshs
title: composite_query.json
DOI: 10.15454/g3gbjc/tc9n9k
title: phbv_raw_result.tab
DOI: 10.15454/g3gbjc/v19zij
title: phbv_query.json
DOI: 10.15454/g3gbjc/wdahrx
title: composite_raw_result.json
DOI: 10.15454/g3gbjc/dpa47k
title: fabrication_composite_raw_result.tab
DOI: 10.15454/g3gbjc/eryey7
title: fabrication_poudre_raw_result.tab
DOI: 10.15454/g3gbjc/jggutc
title: fabrication_composite_raw_result.json
DOI: 10.15454/g3gbjc/l3rbse
title: fabrication_composite_query.json
DOI: 10.15454/g3gbjc/lso220
title: fabrication_poudre_raw_result.json
DOI: 10.15454/g3gbjc/v8jcdb
title: fabrication_poudre_query.json
DOI: 10.15454/g3gbjc/2uywp4
title: Table3 Composite description.csv

description: :unav
DOI: 10.15454/g3gbjc/emwbgu
title: biomass_query.json

description: :unav
DOI: 10.15454/g3gbjc/nuouzb
title: Query2 PHBV description.txt

description: :unav
DOI: 10.15454/g3gbjc/qbz8zs
title: Script2 Composite production steps.ipynb

description: :unav
DOI: 10.15454/g3gbjc/t8gahs
title: Table2 PHBV description.csv

description: :unav
DOI: 10.15454/g3gbjc/y0olno
title: Table1 Biomass description.csv

description: :unav
DOI: 10.15454/g3gbjc/6zjxnr
title: Query1 Biomass description.txt

description: :unav
DOI: 10.15454/g3gbjc/9c71nf
title: composite_query.json

description: :unav
DOI: 10.15454/g3gbjc/a7tapt
title: Table4 Biomass production steps.csv

description: :unav
DOI: 10.15454/g3gbjc/giunad
title: Query3 Composite description.txt

description: :unav
DOI: 10.15454/g3gbjc/vnnrrk
title: phbv_query.json

description: :unav
DOI: 10.15454/g3gbjc/1tglp0
title: Table5 Composite production steps.tab

description: :unav
DOI: 10.15454/g3gbjc/z68568
title: Script1 Biomass production steps.ipynb

description: :unav
DOI: 10.57745/d97csm
title: phbv_query.json

description: :unav
DOI: 10.57745/jn2ldn
title: Table2 PHBV description.csv

description: :unav
DOI: 10.57745/rbfppa
title: Query2 PHBV description.txt

description: :unav
DOI: 10.34740/kaggle/dsv/5140953
title: COVID Vaccination in World (updated daily)
DOI: 10.5281/zenodo.7716506
title: IceAq - Slug Tests Data

description: <strong>Slug Tests in 11 boreholes</strong> Period of data collection: July and September 2022. Slugs used were of diameters 10 cm and 5 cm. One to three repetitions of the test in each borehole. Measurements dones with an automatic pressure probe acquiring data every half second. Spreadsheet describing the groundwater observation network, including the boreholes in which the slug tests were conducted. One multiple spreadsheets file, (1.3Mo), one sheet per borehole: ASK113; FLA1; FLA2; FLA3; FLA4; ASK101; ASK102; ASK103; ASK105; HA16; RV09. Origin: MSCA Project Number: 885891 Project Acronym: IceAq Project title: Proglacial and subglacial aquifers: their evolution under climate change and the potential impacts in terms of resources and natural hazards, through the case of eastern Iceland Period of data collection: from May 2021 to September 2022, precise periods specified for each file. Area of data collection: Iceland, south-east of Vatnajökull, Suðursveit and Mýrar. Accessibility: The data can be read using e.g. the following open source softwares: LibreOffice (https://www.libreoffice.org).
DOI: 10.5281/zenodo.7716452
title: IceAq Groundwater Hourly Data

description: <strong>Groundwater level, temperature, and sometimes electro-conductivity (EC) in two aquifers</strong> <strong>- Hourly automatic data, 11 boreholes</strong> Spreadsheet describing the groundwater observation network. Map localising the 18 boreholes and 10 springs (2 textfiles, 6Ko): 14 boreholes selected among the abandoned ones, and 4 new ones drilled downstream of Fláajökull, on a line toward the coast (FLA1, FLA2, FLA3, FLA4). The network thus constitutes of 13 boreholes in the basalt formation and 5 in the till and glacio-fluvial formation. In addition, we monitored 10 depression springs, 4 from the basalt aquifer and 7 from the till and glacio-fluvial deposits aquifer. All boreholes and springs were localised using a differential GPS in September 2021. Monitoring of 4 boreholes in the till and glacio-fluvial deposits and 7 boreholes in the basalt using automatic pressure and temperature probes, at an hourly time step (6 TD-Diver type DI802, 3 TD Micro-Diver type DI501) and 2 probes measuring in addition electro-conductivity (2 CTD-Diver type DI217). To correct for the atmospheric pressure we used 3 Baro Diver type DI800 and 1 Baro Micro-Diver DI500. One spreadsheet per borehole, giving groundwater level (m asl) and temperature (total 3.5Mo): ASK102 period from 10 Nov 2021 to 13 July 2022 and 17 July to 19 Sep 2022 ASK103 period from 16 May to 19 Sep 2022 ASK104 period from 17 March 2022 to 21 Sep 2022; in addition EC (microS/cm) ASK105 period from 15 Sep 2021 to 21 Sep 2022 FLA1 period from 16 Mar to 21 Sep 2022 FLA2 period from 10 Nov 2021 to 21 Sep 2022 FLA3 period from 24 Aug 2021 to 21 Sep 2022 FLA4 period from 24 Aug 2021 to 12 Jul 2022 HA12 period from 17 May to 22 Sep 2022 HA13 period from 17 Mar to 22 Sep 2022 HA16 period from 17 May to 22 Sep 2022; in addition EC (microS/cm) Origin: MSCA Project Number: 885891 Project Acronym: IceAq Project title: Proglacial and subglacial aquifers: their evolution under climate change and the potential impacts in terms of resources and natural hazards, through the case of eastern Iceland Period of data collection: from May 2021 to September 2022, precise periods specified for each file. Area of data collection: Iceland, south-east of Vatnajökull, Suðursveit and Mýrar. Accessibility: The data can be read using e.g. the following open source softwares: LibreOffice (https://www.libreoffice.org), QGIS (https://qgis.org).
DOI: 10.5281/zenodo.7716492
title: Dataset Strategic behaviour by wind generators: an empirical investigation- IJIO

description: Dataset
DOI: 10.5281/zenodo.7716493
title: Dataset Strategic behaviour by wind generators: an empirical investigation- IJIO

description: Dataset
DOI: 10.35078/iinxhy
title: Replication Data for: Ficha epidemiológica de localidade: Distrito: Teófilo Otoni| Município: Jequitinhonha

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)
DOI: 10.5281/zenodo.5256672
title: IMPACT HTA, WP7 (Methodological tools using multi-criteria value methods for HTA decision-making), Task 2 (Multi-criteria evaluation framework), Results of the 1st Web-Delphi process to HTA stakeholders, organized into 6 separate parallel panels

description: IMPACT HTA, WP7 (Methodological tools using multi-criteria value methods for HTA decision-making), Task 2 (Multi-criteria evaluation framework), Results of the 1<sup>st</sup> Web-Delphi process to HTA stakeholders, organized into 6 separate parallel panels (one panel per stakeholder group, 2 rounds), about the views of stakeholders regarding “This aspect should be considered in the evaluation of new medicines on a common basis” (2019) For details on the Web-Delphi process, see: IMPACT HTA, Work Package 7 (Methodological tools using multi-criteria value methods for HTA decision-making), Task 2, Deliverable 7.2 (Multi-criteria evaluation framework), Advancing knowledge and MCDA tools to assist HTA agencies in evaluating medicines on a common basis (2021) Oliveira, M.D. (IST), Panos Kanavos (LSE), Bana e Costa, C. (IST)
DOI: 10.5281/zenodo.5256845
title: IMPACT HTA, WP7 (Methodological tools using multi-criteria value methods for HTA decision-making), Task 2 (Multi-criteria evaluation framework), Results of the 2nd Web-Delphi process to HTA stakeholders, organized in a single panel

description: IMPACT HTA, WP7 (Methodological tools using multi-criteria value methods for HTA decision-making), Task 2 (Multi-criteria evaluation framework), Results of the 2<sup>nd</sup> Web-Delphi process to HTA stakeholders, organized in a single panel (all stakeholder groups in a single panel, 2 rounds), about the views of stakeholders regarding “This aspect should be considered in the evaluation of new medicines on a common basis” (2019) For details on the Web-Delphi process, see: IMPACT HTA, Work Package 7 (Methodological tools using multi-criteria value methods for HTA decision-making), Task 2, Deliverable 7.2 (Multi-criteria evaluation framework), Advancing knowledge and MCDA tools to assist HTA agencies in evaluating medicines on a common basis (2021) Oliveira, M.D. (IST), Panos Kanavos (LSE), Bana e Costa, C. (IST)
DOI: 10.22008/fk2/fchydq/unsywi
title: Supplementary files.pdf

description: Figure S1: XRF concentrations in Palaeogene deposits in Denmark Figure S2: PCA analysis of XRF concentrations in Palaeogene deposits in Denmark Figure S3: XRF element ratios in Palaeogene deposits in Denmark Table S1: XRF elements in Palaeogene deposits in Denmark