cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7198139
title: Spatial variability of biogenic CO2 flux in Helsinki in 2020

description: Data used in the CO-CARBON project to simulate the biogenic CO<sub>2</sub> flux for Helsinki 2020. This data set includes the Surface Urban Energy and Water balance Scheme (SUEWS) model run to simulate the biogenic CO<sub>2</sub> flux in the city of Helsinki, Finland. The model is run over two year period (2019-2020) with hourly resolution with the whole city divided into 250x250 m<sup>2</sup> grids. (Note: anthropogenic CO<sub>2</sub> emissions are not included in this data set. ) The data files are: <strong>SUEWS_ModelRun</strong> SUEWS source code version V2020b RunControl.nml Input folder for the model run
DOI: 10.5281/zenodo.7198140
title: Spatial variability of biogenic CO2 flux in Helsinki in 2020

description: Data used in the CO-CARBON project to simulate the biogenic CO<sub>2</sub> flux for Helsinki 2020. This data set includes the Surface Urban Energy and Water balance Scheme (SUEWS) model run to simulate the biogenic CO<sub>2</sub> flux in the city of Helsinki, Finland. The model is run over two year period (2019-2020) with hourly resolution with the whole city divided into 250x250 m<sup>2</sup> grids. (Note: anthropogenic CO<sub>2</sub> emissions are not included in this data set. ) The data files are: <strong>SUEWS_ModelRun</strong> SUEWS source code version V2020b RunControl.nml Input folder for the model run
DOI: 10.5281/zenodo.7525318
title: Datasets of sap flow, meteorological, leaf gas measurements in urban green areas in Helsinki

description: Datasets of sap flow, meteorological, leaf gas measurements used in the manuscript “Sap flow and leaf gas exchange response to drought and heatwave in urban green spaces in a Nordic city”. Data contains cleaned half-hourly sap flow data and half-hourly meteorological datasets (Tair, Tsoil, RH, soil temperature, soil moisture) at four different urban green areas in Helsinki. Manual measurements of leaf gas exchanges using GFS instruments. Datasets contains mainly the Amax parameters derived from curve fitting and instantaneous values of G and E at PAR 1100 W m<sup>-2</sup>. Folders contain: Leaf gas exchange data Leaf_gas_data_all_v2.csv Metadata_leaf gas exchange data.csv Meteo data Meteo_Forest_data_30min.csv Meteo_Orchard_data_30min.csv Meteo_Park_data_30min.csv Meteo_Street_data_30min.csv Metainfo_meteo.xlsx Sap flow data Sap_Forest_30min_cleaned.csv Sap_Orchard_30min_cleaned.csv Sap_Park_30min_cleaned.csv Sap_Street_30min_cleaned.csv Metadata_info_sap.csv
DOI: 10.6084/m9.figshare.22100117
title: Facebook and the Global Dimension of Protest

description: Survey data in four countries collected in 2019
DOI: 10.6084/m9.figshare.22100117.v1
title: Facebook and the Global Dimension of Protest

description: Survey data in four countries collected in 2019
DOI: 10.14459/2023mp1695465
title: Synthetic training dataset for LineMod objects

description: The dataset includes the synthetic data generated from rendering the 3D meshes of LM objects in Blender for training 6D pose estimation algorithms. The whole dataset contains the synthetic data for 13 objects with 20,000 data samples for each object. Each data sample includes an RGB image in .png format and a depth image in .exr format. Each sample has the annotations of mask labels in .png format and the ground truth pose labels saved in .json files. Apart from the training data, the 3D meshes of the objects and the pre-trained models of the 6D pose estimation algorithm are also included. The whole dataset takes approximately 800 GB of storage memory.
DOI: 10.6084/m9.figshare.22100096
title: Article_code.R

description: R code of the analysis performed and the figures from the article.
DOI: 10.6084/m9.figshare.22100096.v3
title: Article_code.R

description: R code of the analysis performed and the figures from the article.
DOI: 10.6084/m9.figshare.22100096.v2
title: Article_code.R

description: R code of the analysis performed and the figures from the article.
DOI: 10.5281/zenodo.7642553
title: Arctic campaign 2020 - YAK-AEROSIB - trace gas measurements

description: Trace gas measurements during the 2020 YAK-AEROSIB follow-up campaign
description: {"references": ["Belan, B. D., et al., Atmos. Meas. Tech., 15, 3941\u20133967, https://doi.org/10.5194/amt-15-3941-2022, 2022.", "Narbaud, C., et al., Atmos. Chem. Phys. Discuss. [preprint], https://doi.org/10.5194/acp-2022-720, 2022.", "Paris, J. D., et al., B. Am. Meteorol. Soc., 91, 625\u2013641, 2010"]}
DOI: 10.5281/zenodo.7640414
title: Polar / Plasma Waves Investigation processed dataset and ephemeris used to produced the Smith et al. (2022) catalogue (doi:10.5281/zenodo.7260994 )

description: This data set contains Polar / Plasma Waves Investigation processed using the SPACE Labelling Tool (Louis et al., 2022, doi:10.5281/zenodo.6886528). It also contains the Polar ephemeris in the geocentric solar ecliptic (GEO) coordinate system (from https://sscweb.gsfc.nasa.gov/cgi-bin/Locator.cgi) This processed dataset contains Auroral Kilometric Radiation (AKR) observations and was used to produced the Smith et al. (2022) catalogue of AKR (doi:10.5281/zenodo.7260994) This work has been funded by Science Foundation Ireland Grant 18/FRL/6199, and by a 2022 SCOSTEP/PRESTO<br> Grant.
DOI: 10.5281/zenodo.7589412
title: Polar / Plasma Waves Investigation processed dataset and ephemeris used to produced the Smith et al. (2022) catalogue (doi:10.5281/zenodo.7260994 )

description: This data set contains Polar / Plasma Waves Investigation processed using the SPACE Labelling Tool (Louis et al., 2022, doi:10.5281/zenodo.6886528). It also contains the Polar ephemeris in the geocentric solar ecliptic (GEO) coordinate system (from https://sscweb.gsfc.nasa.gov/cgi-bin/Locator.cgi) This processed dataset contains Auroral Kilometric Radiation (AKR) observations and was used to produced the Smith et al. (2022) catalogue of AKR (doi:10.5281/zenodo.7260994) This work has been funded by Science Foundation Ireland Grant 18/FRL/6199, and by a 2022 SCOSTEP/PRESTO<br> Grant.
DOI: 10.6084/m9.figshare.19403401
title: A digital health ecosystem ontology from the perspective of Australian consumers: a mixed-method literature analysis

description: This study presents an ontology that scopes the digital health ecosystem from a consumer–centered perspective. We used a mixed-method analysis on a set of papers collected for a comprehensive review to identify common themes, components, and patterns that repeatedly emerge within Australian-based digital health studies. Three major and four child themes were identified as the foundational aspects of the proposed ontology. The child themes have more precise concept definitions, inherited and distinguishing attributes. Out of 179 recognized concepts, 33 were related to the Healthcare theme; 23 concepts formed a cluster of employed devices under the Technology theme; 40 concepts were associated with Use and Usability factors. 60 other concepts formed the cluster of the consumer–user theme. The theme of Digital Health was seen as being connected to 2 independent clusters. The main cluster embodied 21 extracted concepts, semantically related to “data, information, and knowledge,” whilst the second cluster embodied concepts related to “healthcare.” Different stakeholders can utilize this ontology to define their landscape of digitally enabled healthcare. The novelty of this work resides in capturing a consumer–centered perspective and the method we used in deriving the ontology – formalizing the results of a systematic review based on data-driven analysis methods.
DOI: 10.6084/m9.figshare.19403401.v1
title: A digital health ecosystem ontology from the perspective of Australian consumers: a mixed-method literature analysis

description: This study presents an ontology that scopes the digital health ecosystem from a consumer–centered perspective. We used a mixed-method analysis on a set of papers collected for a comprehensive review to identify common themes, components, and patterns that repeatedly emerge within Australian-based digital health studies. Three major and four child themes were identified as the foundational aspects of the proposed ontology. The child themes have more precise concept definitions, inherited and distinguishing attributes. Out of 179 recognized concepts, 33 were related to the Healthcare theme; 23 concepts formed a cluster of employed devices under the Technology theme; 40 concepts were associated with Use and Usability factors. 60 other concepts formed the cluster of the consumer–user theme. The theme of Digital Health was seen as being connected to 2 independent clusters. The main cluster embodied 21 extracted concepts, semantically related to “data, information, and knowledge,” whilst the second cluster embodied concepts related to “healthcare.” Different stakeholders can utilize this ontology to define their landscape of digitally enabled healthcare. The novelty of this work resides in capturing a consumer–centered perspective and the method we used in deriving the ontology – formalizing the results of a systematic review based on data-driven analysis methods.
DOI: 10.5281/zenodo.7642531
title: Dataset for a reduced self-calibrating method for rotary table error motions

description: <strong>Ball plate measurement dataset</strong> Two datasets from the measurements of a ball plate for the application of a novel method for the determination of rotary table errors in six degrees of freedom on coordinate measuring machines are provided. The method is based on the measurement of an uncalibrated circular ball plate in different rotational positions on the rotary table, also referred to as the three-rosette method. The novel procedure allows to reduce the number of measurement positions significantly compared to the complete three-rosette method whereas the measurement uncertainty still remains sufficiently small. The method relies on error separation and is self-calibrating which means that no external reference is required. The sophisticated design of a new ball plate allows to determine the rotary table errors in angular steps of only 5°. Provided are two datasets: One dataset of a measurement of a ball plate with 12 equidistant balls for the detection of the rotary table errors in steps of 30 degrees, using the complete three-rosette method. One dataset of a measurement of a ball plate with 12 non-equidistant balls for the detection of the rotary table errors in steps of 5 degrees, using the new reduced three-rosette method. <strong>Acknowledgement</strong> This dataset was obtained within the 19ENG07 Met4Wind project. This project has received funding from the EMPIR programme co-financed by the Participating States and from the European Union’s Horizon 2020 research and innovation programme. Project title: Metrology for enhanced reliability and efficiency of wind energy systems<br> Funder name: European Commission<br> Funder ID: 10.13039/100014132<br> Grant number: 19ENG07 Met4Wind<br> Link to project homepage: https://www.ptb.de/empir2020/met4wind/home/
DOI: 10.5281/zenodo.7642530
title: Dataset for a reduced self-calibrating method for rotary table error motions

description: <strong>Ball plate measurement dataset</strong> Two datasets from the measurements of a ball plate for the application of a novel method for the determination of rotary table errors in six degrees of freedom on coordinate measuring machines are provided. The method is based on the measurement of an uncalibrated circular ball plate in different rotational positions on the rotary table, also referred to as the three-rosette method. The novel procedure allows to reduce the number of measurement positions significantly compared to the complete three-rosette method whereas the measurement uncertainty still remains sufficiently small. The method relies on error separation and is self-calibrating which means that no external reference is required. The sophisticated design of a new ball plate allows to determine the rotary table errors in angular steps of only 5°. Provided are two datasets: One dataset of a measurement of a ball plate with 12 equidistant balls for the detection of the rotary table errors in steps of 30 degrees, using the complete three-rosette method. One dataset of a measurement of a ball plate with 12 non-equidistant balls for the detection of the rotary table errors in steps of 5 degrees, using the new reduced three-rosette method. <strong>Acknowledgement</strong> This dataset was obtained within the 19ENG07 Met4Wind project. This project has received funding from the EMPIR programme co-financed by the Participating States and from the European Union’s Horizon 2020 research and innovation programme. Project title: Metrology for enhanced reliability and efficiency of wind energy systems<br> Funder name: European Commission<br> Funder ID: 10.13039/100014132<br> Grant number: 19ENG07 Met4Wind<br> Link to project homepage: https://www.ptb.de/empir2020/met4wind/home/
DOI: 10.6084/m9.figshare.22041263
title: HII segmentation maps from HIIdentify for the MUSE Atlas of Disks galaxies

description: For 36 galaxies within the MUSE Atlas of Disks (MAD) survey (Erroz-Ferrer et al. 2017), the results of using HIIdentify (hiidentify.readthedocs.io/) on the Halpha maps to identify HII regions within the galaxies are provided, as presented in Easeman et al. (2023). The fits files have 4 extensions: 1) 2D map where each pixel has a Region ID for the HII region within the galaxy to which it belongs. 2) 2D map of the distance of each pixel from the pixel designated as the peak of that HII region, in kpc. 3) 2D map showing the pixels designated as the peak of each HII region, with the associated Region ID. 4) Ha map for pixels belonging to an identified region within the galaxy.
DOI: 10.5281/zenodo.7642846
title: Evaluation of Open Source Ventilators (OTRL & ODRL)

description: applying the open readiness scales introduced in https://doi.org/10.1016/j.procir.2022.05.306 onto the whole dataset of PubInv's evaluation of open source ventilators for COVID-19 crisis response find here: the evaluation (final scores) of the full dataset (incl. the unfiltered dataset and PubInv's evaluations) the log for all evaluations for details and as a rationale for each evaluation
description: the PDF is just an export of the MD file
DOI: 10.5281/zenodo.7642845
title: Evaluation of Open Source Ventilators (OTRL & ODRL)

description: applying the open readiness scales introduced in https://doi.org/10.1016/j.procir.2022.05.306 onto the whole dataset of PubInv's evaluation of open source ventilators for COVID-19 crisis response find here: the evaluation (final scores) of the full dataset (incl. the unfiltered dataset and PubInv's evaluations) the log for all evaluations for details and as a rationale for each evaluation
description: the PDF is just an export of the MD file
DOI: 10.5281/zenodo.7642908
title: SciExpeM - 10.5281/zenodo.7642908

description: Castaldi et al. - Symposium (International) On Combustion, 1996, (26), 693-702
DOI: 10.5281/zenodo.5497703
title: Data used in manuscript Carbon sequestration potential of street tree plantings in Helsinki

description: Data and model runs used in manuscript "Carbon sequestration potential of street tree plantings in Helsinki". This data set includes model runs for the Surface Urban Energy and Water balance Scheme (SUEWS) and soil carbon model Yasso. <br> The data files are: <strong>Met_Gapfilling</strong> ConvertMeteorologyInput.m (MATLAB) is the main file and functions gapfilling.m (with other measurements) and gapfillingfill.m (with interpolations) are used in the gap filling Includes files for meteorological measurement data Airport: Data from Helsinki-Vantaa airport; airportdata.m, where data is cleaned Precipitation: Data from multiple locations; Pres_Gap.m for gap filling precipitation and function PrecipitationGap.m Roof: Data from rooftop SMEARIII: Monthly meteorological data from Kumpula (2003-2016) SUEWS_met file for the final gap filled meteorological files for SUEWS <strong>Fits</strong> Includes FitCO2_parameter.m for fitting CO2 parameters for SUEWS Includes functions Pho6.m and Resp0.m that have the function forms Includes data files for measurement data CO2Data: Canopy photosynthesis and canopy respiration estimated with SPP model (KumpulaX.out for Tilia site and Kumpula2X.out for Alnus site) Met_2016: Meteorology from Kumpula for June to August in 2016 SWCdata: Soil water content from two streets and three soil types <strong>ModelRuns</strong> SUEWS model runs separately for Alnus and Tilia sites Includes input and output files and model codes Alnus site includes both the Baserun and Finalrun Yasso model runs Model run in file yasso.f90 Output files: DecRate...txt includes three soil types and values for each month from 2002 to 2016 Yasso_meteorology_month.m creates meteorological input files for Yasso (Clim_month_xx.txt) using meteorology from SUEWS Lifetimerun: 30 year simulations that includes estimations for leaves and pruned branches <strong>FigCodes</strong> Includes MATLAB codes for figures and statistics Includes measurement data for CO2, sap flow and SWC
DOI: 10.5281/zenodo.5870101
title: Data used in manuscript Carbon sequestration potential of street tree plantings in Helsinki

description: Data and model runs used in manuscript "Carbon sequestration potential of street tree plantings in Helsinki". This data set includes model runs for the Surface Urban Energy and Water balance Scheme (SUEWS) and soil carbon model Yasso. <br> The data files are: <strong>Met_Gapfilling</strong> ConvertMeteorologyInput.m (MATLAB) is the main file and functions gapfilling.m (with other measurements) and gapfillingfill.m (with interpolations) are used in the gap filling Includes files for meteorological measurement data Airport: Data from Helsinki-Vantaa airport; airportdata.m, where data is cleaned Precipitation: Data from multiple locations; Pres_Gap.m for gap filling precipitation and function PrecipitationGap.m Roof: Data from rooftop SMEARIII: Monthly meteorological data from Kumpula (2003-2016) SUEWS_met file for the final gap filled meteorological files for SUEWS <strong>Fits</strong> Includes FitCO2_parameter.m for fitting CO2 parameters for SUEWS Includes functions Pho6.m and Resp0.m that have the function forms Includes data files for measurement data CO2Data: Canopy photosynthesis and canopy respiration estimated with SPP model (KumpulaX.out for Tilia site and Kumpula2X.out for Alnus site) Met_2016: Meteorology from Kumpula for June to August in 2016 SWCdata: Soil water content from two streets and three soil types <strong>ModelRuns</strong> SUEWS model runs separately for Alnus and Tilia sites Includes input and output files and model codes Alnus site includes both the Baserun and Finalrun Yasso model runs Model run in file yasso.f90 Output files: DecRate...txt includes three soil types and values for each month from 2002 to 2016 Yasso_meteorology_month.m creates meteorological input files for Yasso (Clim_month_xx.txt) using meteorology from SUEWS Lifetimerun: 30 year simulations that includes estimations for leaves and pruned branches <strong>FigCodes</strong> Includes MATLAB codes for figures and statistics Includes measurement data for CO2, sap flow and SWC
DOI: 10.5281/zenodo.7642907
title: SciExpeM - 10.5281/zenodo.7642908

description: Castaldi et al. - Symposium (International) On Combustion, 1996, (26), 693-702
DOI: 10.6084/m9.figshare.22096418
title: Neuropharmacological computational analysis of longitudinal electroencephalograms in clozapine-treated patients with schizophrenia using hierarchical dynamic causal modeling

description: Neuropharmacological computational analysis of longitudinal electroencephalograms in clozapine-treated patients with schizophrenia using hierarchical dynamic causal modeling. <br> In this, we only opend preprocessed eeg data of SI-H group.
DOI: 10.6084/m9.figshare.22096418.v1
title: Neuropharmacological computational analysis of longitudinal electroencephalograms in clozapine-treated patients with schizophrenia using hierarchical dynamic causal modeling

description: Neuropharmacological computational analysis of longitudinal electroencephalograms in clozapine-treated patients with schizophrenia using hierarchical dynamic causal modeling. <br> In this, we only opend preprocessed eeg data of SI-H group. <br> The full dataset would be provided upon request.
DOI: 10.25403/upresearchdata.22083317
title: The views of children on their own well-being

description: The study adopted an exploratory qualitative research approach and utilised an instrumental case study design. Purposive and snowball sampling were used to recruit ten participants for the study. Data was collected by means of semi-structured one-on-one interviews which made use of an interview schedule and visual cards. The dataset present findings from the study which shows that children are responsible beings and they know exactly what well-being means to them.
DOI: 10.25403/upresearchdata.22083317.v1
title: The views of children on their own well-being

description: The study adopted an exploratory qualitative research approach and utilised an instrumental case study design. Purposive and snowball sampling were used to recruit ten participants for the study. Data was collected by means of semi-structured one-on-one interviews which made use of an interview schedule and visual cards. The dataset present findings from the study which shows that children are responsible beings and they know exactly what well-being means to them.
DOI: 10.6084/m9.figshare.22100234.v1
title: Supplementary Material for: Two Novel Human Leukocyte Antigen Alleles Are Associated with Decreased Risk of Onychomycosis in a Large Cohort of Danish Blood Donors

description: <b><i>Introduction:</i></b> Antigen presentation and antimicrobial immune responses involve the human leukocyte antigen (HLA) system. Onychomycosis is primarily caused by dermatophytes and affects around 5.5% of the population worldwide. Yet, only limited data exist on the associations between the HLA system and onychomycosis. Thus, the objective of the study was to investigate if there is an association between HLA alleles and onychomycosis. <b><i>Methods:</i></b> Participants in the Danish Blood Donor Study were defined as cases of onychomycosis and controls based on antifungal prescriptions in the national prescription registry. Associations were investigated using logistic regressions adjusted for confounders and were Bonferroni corrected for multiple tests. <b><i>Results:</i></b> A total of 3,665 participants were considered onychomycosis cases, and 24,144 participants were considered controls. We found two protective HLA alleles of onychomycosis: DQB1*06:04, odds ratios (OR) 0.80 (95% confidence interval (CI) 0.71–0.90), and DRB1*13:02, OR 0.79 (95% CI: 0.71–0.89). <b><i>Conclusion:</i></b> The finding of two novel protective alleles of onychomycosis indicates that certain HLA alleles have certain antigen presentation properties affecting the risk of fungal infection. These findings may provide the basis for future research identifying immunologically relevant antigens of fungi causing onychomycosis, which could ultimately lead to targets of new drugs with antifungal effects.
DOI: 10.5517/ccdc.csd.cc2c5gyz
title: CCDC 2180011: Experimental Crystal Structure Determination

description: Related Article: Ying Zou, Wei Lv, A-Ni Wang, Xiao-Yu Li, Jin-Hua Li, Guo-Ming Wang|2023|Inorg.Chem.|62|2617|doi:10.1021/acs.inorgchem.2c03397
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.