cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.23729/2631e92a-c07e-4c8f-9b54-ca577ba15038
title: IBL Bentonite

description: Bentonite samples from the International Bentonite Longevity (IBL) project. Report is in preparation. More information will likely be added to the preview dataset metadata. To get this dataset, please contact fairdata-pas@gtk.fi. Preview dataset found at https://doi.org/10.23729/7f6f40cb-c65c-4081-9934-81e7919cf6bf
DOI: 10.23729/26c3b8a9-3de1-4439-96fc-042fcc25e9b9
title: Azores Pumices

description: Volcanic pumices from Azorean volcanic islands Fogo and Faial. Samples collected by Adriano Pimentel and donated for analysis by Dunan Pirrie. The goal was to see if we could image crystals, crystal fragments or vesicles. Images will be correlated with SEM-EDS and a publication is due soon. To get this dataset, please contact fairdata-pas@gtk.fi. Preview dataset found at https://doi.org/10.23729/70838421-fe0b-4b37-b2e4-388e87f19d49
DOI: 10.23729/bba5b29c-fa92-4677-87ef-8ce8db14795c
title: Carbonated concrete

description: Samples are Portland cement concrete and alternate binding material concrete. One sample of each material has been treated with carbon dioxide, the other two are reference samples. Our aim was to see if X-ray tomography could be used to detect the effects of the carbon dioxide treatment and especially carbonation depth. To get this dataset, please contact fairdata-pas@gtk.fi. Preview dataset found at https://doi.org/10.23729/8b269a23-9002-4b2e-b0cf-71e9f17c8856
DOI: 10.23729/eb57d89f-73d0-498f-b1fc-785c130d23c1
title: KYT BROCTIO

description: Samples for the BROCTIO (Bentonite-ROCk interacTIOn) project of the KYT (Kansallinen Ydinjätehuollon Tutkimusohjelma) research program. These samples contain natural clay filled fractures and were investigated with several different methods, like SEM, XRD, and hyperspectral imaging, to gather a database of natural rock-clay interfaces and develop methods in fracture characterization. Publication in writing. To get this dataset, please contact fairdata-pas@gtk.fi. Preview dataset found at https://doi.org/10.23729/0eb206fd-08fb-4c1f-a36d-336bcb647496
DOI: 10.23729/0a740162-93f2-4afb-a229-17b628941f2a
title: Gummern marble

description: Marble samples from OMYA mining operation in Gummern, Austria. Samples were imaged to see if we could show the contaminant minerals (quartz, calc-silicates, graphite) within the marble types at this scale. To get this dataset, please contact fairdata-pas@gtk.fi. Preview dataset found at https://doi.org/10.23729/8232aec7-6c0d-47c0-a7e4-9c3f8442bb42
DOI: 10.23729/abae283b-640c-40a4-9da4-ed339335bd31
title: 3D Food

description: The imaged samples were protein- and dietary fibre-rich snack products produced by extrusion-based 3D printing. The aim of X-ray tomography imaging of these samples was to identify differences in internal structure of snacks made with differing raw material pastes. This data delineates structural changes that might also be perceived during sensory analysis or mechanical measurement of snack products. This study was part of a Business Finland supported project called 3D Surprise – Multilayer food textures by advanced manufacturing technologies (grant number 603/31/2016) and the results have been published in Lille, M., Kortekangas, A., Heiniö, R.-L., Sozer, N., 2020. Structural and Textural Characteristics of 3D-Printed Protein- and Dietary Fibre-Rich Snacks Made of Milk Powder and Wholegrain Rye Flour. Foods. To get this dataset, please contact fairdata-pas@gtk.fi. Preview dataset found at https://doi.org/10.23729/2b2801e7-2a4e-4de3-bfcd-f8ccaa9d6abf
DOI: 10.23729/f225e4b3-f7f6-46ef-9627-477d98e2c2be
title: CircVol batch 1.2

description: Stabilized dredging mass samples for the EU project CircVol. REF1-2 are dredging mass + cement. TP 1 is the same, but decanted. TP 2 is dredging mass, cement, ash and dust. TP 3 dredging mass, cement, ash and slag. TP 4 is dredging mass, cement, ash, slag and dust. Dredging mass is from Naantali, Finland. Publication is underway. To get this dataset, please contact fairdata-pas@gtk.fi. Preview dataset found at https://doi.org/10.23729/c8fbbcf0-8e8b-4371-bca2-fb473aaaafdf
DOI: 10.23729/4cb3923c-a42a-494a-a6df-7cff32610cbd
title: BATCircle

description: Samples from BATCircle battery minerals project. Haveri cobaltite is a sample from the proposed Haveri gold mine, that does not contain any gold, but does contain massive cobaltite. PAL-samples are on loan from Mawson Gold and are from the Palokas deposit in Rajapalo prospect. They contain cobalt minerals, such as cobaltite, which is visible in CT, and linnaeite, which is not. They are the first drillcore samples to reveal the recently discovered cobalt mineralization. To get this dataset, please contact fairdata-pas@gtk.fi. Preview dataset found at https://doi.org/10.23729/b1057c04-81b5-4c40-8a48-73443bdb6f39
DOI: 10.23729/8357e2e0-664d-4186-a550-8d5b63c2fb97
title: GeoKT liberation

description: The samples were ore-bearing drillcore samples from Garpenberg mine in Sweden, and they were imaged to quantify and classify structures in 3D for liberation analysis. Samples and the study are better described in Guntoro, P.I., Ghorbani, Y., Butcher, A.R., Kuva, J., Rosenkranz, J., 2020. Textural Quantification and Classification of Drill Cores for Geometallurgy: Moving Toward 3D with X-ray Microcomputed Tomography. Natural Resources Research 29. To get this dataset, please contact fairdata-pas@gtk.fi. Preview dataset found at https://doi.org/10.23729/6e74f321-dc7b-40f5-9391-07bd072ef086
DOI: 10.23729/b2a0c281-cc0f-41ee-8423-770dcad33b38
title: Steel slag

description: A boulder of slag formed during steel manufacturing. The goal was to study the different phases and crystallinity grade. Publication is in writing. To get this dataset, please contact fairdata-pas@gtk.fi. Preview dataset found at https://doi.org/10.23729/7bf326d4-f802-48d9-bf47-d82ddadd7e96
DOI: 10.23729/093c2c7e-0da8-4300-8e45-72192534f586
title: Kuohenmaa Orbicule

description: The sample is an orbicule from the large-orbicule variety of the Kuohenmaa (Kangasala) orbicular quartz monzonite (61°21'57.7"N 24°03'05.6"E). The main minerals of the orbicule are plagioclase (An25-30) and biotite with minor alkali feldspar, muscovite, chlorite, quartz, and allanite. The purpose of the scan is to visualize the inner structures of the concentric orbicule shells, to test the resolution of the scan in recognizing individual subshells within the structure, and to detect the dispersion of any potential denser mineral phases within the structure. To get this dataset, please contact fairdata-pas@gtk.fi. Preview dataset found at https://doi.org/10.23729/9e84d84f-c79d-406b-94d4-6816f3a9c95b
DOI: 10.23729/366da04d-92c9-4c9a-bf07-331c0a851557
title: MIKES Calotte Plates Part 1

description: The samples are calotte plates designed and manufactured at VTT MIKES. They are calibration samples with internal and external diameters. Some calotte plates also have rough patterns at the back surface. The samples exist in four sizes and two materials, steel and aluminum. Samples were measured to determine the scale accuracy of the measurement in different scales and to explore the possibility of scale calibration. Another goal was to examine the effect of sample material on measurement accuracy and the measurement uncertainty caused by determination of sample surface. Rough patterns were included to see how well XCT is suited to surface roughness measurements in different scales. To get this dataset, please contact fairdata-pas@gtk.fi. Preview dataset found at https://doi.org/10.23729/4a55f434-e90a-4c5b-9e26-3cd1aef2e3cb
DOI: 10.23729/7589d5c7-49b4-4c2c-bb4d-5466477bcc0f
title: XLPE insulators

description: XLPE insulator material, that is used as protective insulators in cables. The study was conducted to see how the mechanical properties of insulators change when they are thermally aged and irradiated. Sample set contains materials scanned before and after irradiation. To get this dataset, please contact fairdata-pas@gtk.fi. Preview dataset found at https://doi.org/10.23729/4c6ec36f-aab7-4fab-bcb8-58e4f4c50624
DOI: 10.23729/76a8ec2e-f330-45e5-a2c3-1c4e1c7e47d5
title: Palaenigma wrangeli

description: Several scans of multiple specimens of fossil Palaengima Wrangeli. Data is included in Kröger, B., Vinn, O., Toom, U., Corfe, I., Kuva, J., Zaton, M., 2021. On the enigma of Palaenigma wrangeli (Schmidt), a condulariid with a partly non-mineralized skeleton. Submitted. To get this dataset, please contact fairdata-pas@gtk.fi. Preview dataset found at https://doi.org/10.23729/3eaf1aeb-5e0c-4704-9e18-a925688f810b
DOI: 10.23729/343ac646-cb69-4ce5-a9fd-f90a454a19ac
title: Composite Plates

description: The sample set contained two pure copper plates (Makin and M2h), three plates that were a composite made of copper and tungsten disulfide (MWSM10, MWSM25, MWSM30, with 10, 25 and 30 weight-% of WS2, respectively) and two plates that were a composite made of copper, tungsten disulfide, and graphene nanoplatelets (GMP2.5-10, with 2.5 weight-% of GNP and 10 weight-% of WS2, and GMP10-0.5-10, with 0.5 weight-% of GNP and 10 weight-% of WS2). The samples were imaged to evaluate the presence of macro- and microporosity in the produced samples and to evaluate the homogeneity and dispersion of the second phase inside the copper matrix. To get this dataset, please contact fairdata-pas@gtk.fi. Preview dataset found at https://doi.org/10.23729/e7a23962-8312-4aaa-8c56-e2e30cb32d68
DOI: 10.23729/df883f74-ab5d-438a-94e2-a3f66f3d63c5
title: NPL Surface Sample

description: Sample manufactured by National Physical Laboratory by additive manufacturing. The goal of the sample and the measurements was to study the ability of the XCT instrument in measuring surface roughness. Studies were part of the AdvanCT project at VTT MIKES. To get this dataset, please contact fairdata-pas@gtk.fi. Preview dataset found at https://doi.org/10.23729/a00cd839-1861-4551-948f-cabfa138fd4d
DOI: 10.23729/38494605-e81b-4667-b863-d5e5f2fb5b5c
title: Bottom ash

description: Bottom ash from a furnace. Further information may become available later. Imaged for EIT RM ADMA project. To get this dataset, please contact fairdata-pas@gtk.fi. Preview dataset found at https://doi.org/10.23729/72e9bacc-04a2-4356-834d-ae1ad728f4df
DOI: 10.23729/3954cf31-4d24-4cb9-b5ed-8280f679a6fa
title: Multimodal fracture

description: Fractured rock sample that is to be investigated with multiple modalities, starting with XCT. Other modalities not yet done. Sample is from Olkiluoto, Finland. To get this dataset, please contact fairdata-pas@gtk.fi. Preview dataset found at https://doi.org/10.23729/3e1c5903-725e-47b9-b28a-e04866c18d2b
DOI: 10.23729/8fe03af4-9749-4183-be2f-1fa3d2872785
title: Angelsey magma-sediment rocks

description: The samples analysed are examples of magma-sediment interaction and were investigated to further understand the mixing fabrics in 3D. The research is being undertaken by PhD student Rebecca Miles (USW) and supervised by Dr Ian Skilling and Professor Duncan Pirrie (USW). The samples are from the Gwna Group Melange (Monian Super Group) spanning the Precambrian Ediacaran Period (635 Ma) to early Cambrian Comley series (510 Ma), which crops out as part of the iconic and well documented succession on Anglesey, North Wales. This unit offers clear evidence of spectacular interaction of basaltic magma and seafloor sediment on the metre to millimetre scale (i.e. peperite generation), which has been recognized here for the first time. The age of the studied limestones is poorly known but other Gwna Group limestone megaclasts on the island which are up to hundreds of metres in size, have been documented using strontium isotope chemostratigraphy as having a Neoproterozoic depositional age between early Cryogenian (c. 800 Ma) and late Tonian (860 Ma) (Horák & Evans, 2010). 10 field samples were selected from the suite of collected field samples for 3D imaging using microCT. The combined results with optical imaging will allow the fine resolution of the magma-sediment interaction to be imaged in 3D for the first time It is anticipated that the results arising from this study, which would form part of Rebecca Miles PhD would result in a manuscript being submitted for publication in a high impact Earth Science journal (e.g. Bulletin of Volcanology). To get this dataset, please contact fairdata-pas@gtk.fi. Preview dataset found at https://doi.org/10.23729/2a4e6ee1-d4b2-4e41-8173-5c178f56d751
DOI: 10.5281/zenodo.5163817
title: Preprocessed Dataset for ``Calorimetric Measurement of Multi-TeV Muons via Deep Regression"

description: This record contains the fully-preprocessed training/validation and testing datasets used to train and evaluate the final models for "Calorimetric Measurement of Multi-TeV Muons via Deep Regression" by Jan Kieseler, Giles C. Strong, Filippo Chiandotto, Tommaso Dorigo, & Lukas Layer, (2021), arXiv:2107.02119 [physics.ins-det] (https://arxiv.org/abs/2107.02119). The files are LZF-compressed HDF5 format and designed to be used directly with the code-base available at https://github.com/GilesStrong/calo_muon_regression. Please use the 'issues' tab on the GitHub repo for any questions or problems with these datasets. The training dataset consists of 886,716 muons with energies in the continuous range [50,8000] GeV split into 36 subsamples (folds). The zeroth fold of this dataset is used as our validation data. The testing dataset contains 429,750 muons, generated at fixed values of muon energy (E=100, 500, 900, 1300, 1700, 2100, 2500, 2900, 3300, 3700, 4100 GeV), and split into 18 folds. The input features are the raw hits in the calorimeter (stored in a sparse COO representation), and the high-level features discussed in the paper.
DOI: 10.5281/zenodo.5163816
title: Preprocessed Dataset for ``Calorimetric Measurement of Multi-TeV Muons via Deep Regression"

description: This record contains the fully-preprocessed training/validation and testing datasets used to train and evaluate the final models for "Calorimetric Measurement of Multi-TeV Muons via Deep Regression" by Jan Kieseler, Giles C. Strong, Filippo Chiandotto, Tommaso Dorigo, & Lukas Layer, (2021), arXiv:2107.02119 [physics.ins-det] (https://arxiv.org/abs/2107.02119). The files are LZF-compressed HDF5 format and designed to be used directly with the code-base available at https://github.com/GilesStrong/calo_muon_regression. Please use the 'issues' tab on the GitHub repo for any questions or problems with these datasets. The training dataset consists of 886,716 muons with energies in the continuous range [50,8000] GeV split into 36 subsamples (folds). The zeroth fold of this dataset is used as our validation data. The testing dataset contains 429,750 muons, generated at fixed values of muon energy (E=100, 500, 900, 1300, 1700, 2100, 2500, 2900, 3300, 3700, 4100 GeV), and split into 18 folds. The input features are the raw hits in the calorimeter (stored in a sparse COO representation), and the high-level features discussed in the paper.
DOI: 10.5281/zenodo.5510223
title: Empirical Research on Requirements Quality: A Systematic Mapping Study - Dataset

description: We conducted a systematic mapping study on the empirical research into the quality of requirements titled "Empirical Research on Requirements Quality: A SystematicMapping Study" in the Requirements Engineering Journal. This is our replication package. Full Abstract: Research has repeatedly shown that high quality requirements are essential for the success of development projects. While the term “quality” is pervasive in the field of requirements engineering and while the body of research on requirements quality is large, there is no meta study of the field that overviews and compares the concrete quality attributes addressed by the community. To fill this knowledge gap, we conducted a systematic mapping study of the scientific literature. We retrieved 6,905 articles from six academic databases, which we filtered down to our 105 relevant primary studies: explicitly defining, improving, or evaluating quality attributes while including an empirical research component. We found that research on requirements quality focuses on improvement techniques, with very few primary studies addressing evidence-based definitions and evaluations of quality attributes. Among the 12 quality attributes identified, the most prominent in the field are ambiguity, completeness, consistency, and correctness. We identified 111 sub-types of quality attributes such as “template conformance” for consistency or “passive voice” for ambiguity. Ambiguity has the largest share of these sub-types. The artefacts being studied are mostly referred to in the broadest sense as “requirements,” while little research targets quality attributes in specific types of requirements such as use cases or user stories. We present and discuss our detailed analysis along the various quality attributes. Our findings highlightthe need to conduct more grounded research aimed at “definitions,” to use more diverse research methods, and to address a more diverse set of requirements types.
DOI: 10.5281/zenodo.5512017
title: Weaver ant, Oecophylla smaragdina headspace volatiles deter oviposition in female Oriental fruit fly, Bactrocera dorsalis

description: Raw data for the manuscript, <strong>Weaver ant, <em>Oecophylla smaragdina </em>headspace volatiles deter oviposition in female Oriental fruit fly, <em>Bactrocera dorsalis</em></strong>
DOI: 10.5281/zenodo.5512016
title: Weaver ant, Oecophylla smaragdina headspace volatiles deter oviposition in female Oriental fruit fly, Bactrocera dorsalis

description: Raw data for the manuscript, <strong>Weaver ant, <em>Oecophylla smaragdina </em>headspace volatiles deter oviposition in female Oriental fruit fly, <em>Bactrocera dorsalis</em></strong>
DOI: 10.5258/soton/d1946
title: Dataset for support of thesis 'Development of Short-wave Infrared Fibre Lasers'

description: This dataset supports the University of Southampton Doctoral Thesis "Development of Short-wave Infrared Fibre Lasers". This dataset contains: Slope efficiencies and M2 for the key results presented in the thesis, raw data supporting the measurement of aluminium reflectivity, fibre design data such as refractive index profiles and bend loss values determined in Optifiber, and data supporting the fabrication of a CMS Associated publications: M. Burns, P. Shardlow, T. Jefferson-Brain, P. Barua, J. Sahu, W. Clarkson, '47 W Continuous-wave 1726~nm thulium fiber laser core-pumped by an erbium fiber laser,' Optics Letters, vol. 44, no. 21, pp. 5230-5233, 2019. M. Burns, P. Shardlow, W. Clarkson, 'Widely-tunable operation of a thulium doped fiber laser between 1654~nm and 2025~nm', CJ-7.4, CLEO Europe, 2021. M Burns, P. Shardlow, P. Barua, T Jefferson-Brain, J. Sahu, W. Clarkson, '47~W 1726~nm operation of a thulium fiber laser pumped in-band by an erbium-only fiber laser', 112600G, SPIE Photonics West, LASE, 2020. M. Burns, P. Shardlow, P. Barua, T. Jefferson-Brain, J. Sahu, W. Clarkson, 'Thulium-doped Fibre Laser with 25 W Single-mode Output at 1726 nm', CJ\_1\_2, CLEO Europe, 2019. M. Burns, P. Shardlow, P. Barua, T. Jefferson-Brain, J. Sahu, W. Clarkson, 'High power 1726nm operation of a thulium fiber laser pumped in-band by an erbium-only fiber laser', 108970O, Photonics West, 2019.
DOI: 10.5522/04/14394674.v1
title: LROC NAC images and derived DEMs and orthoimages

description: This dataset contains the Lunar Reconnaissance Orbiter images and derived products (digital elevation models) used in a study of lunar landslides recently submitted in the journal JGR-Planets. This is in support of the Open Research project.
DOI: 10.5258/soton/d1936
title: Dataset for 'Continuous-wave Raman amplification in silicon core fibers pumped in the telecom band'

description: Data for the journal paper 'Continuous-wave Raman amplification in silicon core fibers pumped in the telecom band' published in APL Photonics, https://doi.org/10.1063/5.0060108
DOI: 10.5281/zenodo.5495219
title: BRAVE stakeholder survey

description: Data set from the BRAVE stakeholder survey. A codebook ist documenting and complementing the data set. The BRAVE stakeholder survey was conducted within the context of the multidisciplinary research project “BRidging gaps for the adoption of Automated VEhicles” (BRAVE) funded by the EU as part of the Horizon 2020 research program. The survey took place in the seven countries of the participating project partners, i.e. in the EU countries France, Germany, Slovenia, Spain, and Sweden, as well as in Australia and the USA and took place in February and March 2020. The survey was conducted via computer assisted web interviews (CAWI). The aim of the study was to explore stakeholders’ expectations, concerns and needs of a large-scale introduction of automated vehicles at SAE Level 3. Applying a mixed method approach, expert interviews were conducted to design the questionnaire of the online stakeholder survey. The codebook of the BRAVE stakeholder survey documents the applied questionnaire and codes given in data preparation. The documentation accompanies the data set of the BRAVE stakeholder survey stored in the repository zenodo.org available under doi: 10.5281/zenodo.5495219. Further details on the survey and results are reported in the BRAVE Deliverable D2.2 “Report on the findings of the expert online survey”, available at https://www.brave-project.eu/wp-content/uploads/2021/03/20210225-Deliverable-D2.2-Stakeholder-survey-Final.pdf.
description: This work is covers the experts' view of conditional automated driving. Another perspective is taken from the BRAVE population survey (doi: 10.5281/zenodo.4247395).
DOI: 10.5281/zenodo.5495218
title: BRAVE stakeholder survey

description: Data set from the BRAVE stakeholder survey. A codebook ist documenting and complementing the data set. The BRAVE stakeholder survey was conducted within the context of the multidisciplinary research project “BRidging gaps for the adoption of Automated VEhicles” (BRAVE) funded by the EU as part of the Horizon 2020 research program. The survey took place in the seven countries of the participating project partners, i.e. in the EU countries France, Germany, Slovenia, Spain, and Sweden, as well as in Australia and the USA and took place in February and March 2020. The survey was conducted via computer assisted web interviews (CAWI). The aim of the study was to explore stakeholders’ expectations, concerns and needs of a large-scale introduction of automated vehicles at SAE Level 3. Applying a mixed method approach, expert interviews were conducted to design the questionnaire of the online stakeholder survey. The codebook of the BRAVE stakeholder survey documents the applied questionnaire and codes given in data preparation. The documentation accompanies the data set of the BRAVE stakeholder survey stored in the repository zenodo.org available under doi: 10.5281/zenodo.5495219. Further details on the survey and results are reported in the BRAVE Deliverable D2.2 “Report on the findings of the expert online survey”, available at https://www.brave-project.eu/wp-content/uploads/2021/03/20210225-Deliverable-D2.2-Stakeholder-survey-Final.pdf.
description: This work is covers the experts' view of conditional automated driving. Another perspective is taken from the BRAVE population survey (doi: 10.5281/zenodo.4247395).
DOI: 10.5258/soton/d1916
title: Dataset for Visualization of Sub-atomic Movements in Nanostructures

description: Experimental data presented in the paper published in Nano Letters: Tongjun Liu, Jun-Yu Ou, Eric Plum, Kevin F. MacDonald, and Nikolay I. Zheludev (2021), 'Visualization of Subatomic Movements in Nanostructures', NANO Letters, https://doi.org/10.1021/acs.nanolett.1c02644