cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/fya6-z120
title: Neonatal hyperbilirubinemia skin expression

description: Neonatal hyperbilirubinemia is one of the sig- nificant conditions that must have an early diagnosis in newborns. Accordingly, kernicterus or chronic bilirubin encephalopathy is a devastating consequence of severe bilirubinemia and caused permanent brain damage and long-term disability in children. Traditionally, blood test- ing for total serum bilirubin (TSB) levels is a standard procedure for the clinical unit to identify a hyperbiliru- binemia condition. However, presently self-vital monitoring and diagnosis tools are forereaching and favorable for individual symptoms observation. This paper discusses an appropriate region on a newborn’s body for retrieving skin coloration by using a smartphone’s camera in three body regions: the forehead, the chest, and the torso from 330 participants from January 2020 to June 2022 arise at the Department of Pediatrics, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand, and research collaboration with the Faculty of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan.
DOI: 10.5281/zenodo.7107409
title: DOORS: Dataset fOr bOuldeRs Segmentation

description: The capability to detect boulders on the surface of small bodies is beneficial for vision-based applications such as hazard detection during critical operations and navigation. This task is challenging due to the wide assortment of irregular shapes, the characteristics of the boulders population, and the rapid variability in the illumination conditions. Moreover, the lack of publicly available labeled datasets for these applications damps the research about data-driven algorithms. To tackle these challenges, the Dataset fOr bOuldeRs Segmentation (DOORS) has been designed. The dataset is thought to be useful for (but not limited to) boulders recognition, centroid regression, segmentation, and navigation applications. The dataset is divided into two sets: <strong>Regression: </strong>Contains images, masks, and labels for 4 splits of single boulders positioned on the surface of a spherical mesh. It can be used to perform navigation, boulder recognition, segmentation, and centroid regression. <strong>Segmentation: </strong>Contain images, masks, and labels of 2 datasets: DS1 and DS2. DS1 is made of the same images of the Regression dataset but is specifically designed for segmentation. DS2 is made of images with multiple instances of boulders appearing on the surface of the Didymos asteroid model A detailed characterization of the statistical properties of the DOORS dataset and the description of the Blender setup used to generate it is visible in "DOORS: Dataset fOr bOuldeRs Segmentation. Statistical properties and Blender setup", by Mattia Pugliatti and Francesco Topputo, arXiv pre-print, Oct 2022.
DOI: 10.5281/zenodo.7107408
title: DOORS: Dataset fOr bOuldeRs Segmentation

description: The capability to detect boulders on the surface of small bodies is beneficial for vision-based applications such as hazard detection during critical operations and navigation. This task is challenging due to the wide assortment of irregular shapes, the characteristics of the boulders population, and the rapid variability in the illumination conditions. Moreover, the lack of publicly available labeled datasets for these applications damps the research about data-driven algorithms. To tackle these challenges, the Dataset fOr bOuldeRs Segmentation (DOORS) has been designed. The dataset is thought to be useful for (but not limited to) boulders recognition, centroid regression, segmentation, and navigation applications. The dataset is divided into two sets: <strong>Regression: </strong>Contains images, masks, and labels for 4 splits of single boulders positioned on the surface of a spherical mesh. It can be used to perform navigation, boulder recognition, segmentation, and centroid regression. <strong>Segmentation: </strong>Contain images, masks, and labels of 2 datasets: DS1 and DS2. DS1 is made of the same images of the Regression dataset but is specifically designed for segmentation. DS2 is made of images with multiple instances of boulders appearing on the surface of the Didymos asteroid model A detailed characterization of the statistical properties of the DOORS dataset and the description of the Blender setup used to generate it is visible in "DOORS: Dataset fOr bOuldeRs Segmentation. Statistical properties and Blender setup", by Mattia Pugliatti and Francesco Topputo, arXiv pre-print, Oct 2022.
DOI: 10.5281/zenodo.7116368
title: CS2 Kelp cultivation with MACR-E offshore technology - profitability analysis 2022

description: Data set containing calculations and results of the analysis of the economic performance of the offshore kelp cultivation technology used in the Faroe Islands called MACR-E. The dataset includes optimizations scenarios and their economic outcome. Data on costs and productivity was classified as confidential for industrial property protection and will not uploaded in any public repository.
DOI: 10.5281/zenodo.7125032
title: CS2 Kelp cultivation with MACR-E offshore technology - profitability analysis 2022

description: Data set containing calculations and results of the analysis of the economic performance of the offshore kelp cultivation technology used in the Faroe Islands called MACR-E. The dataset includes optimizations scenarios and their economic outcome. Data on costs and productivity was classified as confidential for industrial property protection and will not uploaded in any public repository.
DOI: 10.5287/bodleian:gpdqgexw0
title: Cross Countries Economic Performances - SPF Approach
DOI: 10.25318/9810020201-fra
title: Connaissance des langues officielles selon statistiques du revenu, âge et genre : Canada, provinces et territoires, régions métropolitaines de recensement et agglomérations de recensement y compris les parties

description: Données sur la connaissance des langues officielles selon certaines statistiques du revenu, l’âge et le genre pour la population âgée de 15 ans et plus, à l’exclusion des résidents institutionnels.
DOI: 10.34740/kaggle/dsv/4290503
title: 2021 World Population (updated daily)
DOI: 10.6084/m9.figshare.21287097
title: Litter facilitates plant development but restricts seedling establishment during vegetation regeneration

description: Datasets, Functional Ecology, Litter facilitates plant development but restricts seedling establishment during vegetation regeneration, Xiaoyue Zhang, Xiangyin Ni, Petr Heděnec, Kai Yue, Xinyu Wei, Jing Yang, Fuzhong Wu.
DOI: 10.21227/xe3w-7b82
title: CRAWDAD dartmouth/cenceme

description: CenceMe is a sensing system based on standard and sensor-enabled mobile phones. CenceMe uses the output of the phones' sensors and external data (if such is available) to infer human presence and activity information. This dataset contains movements and inferred activities of participants using CenceMe on their mobile phones.date/time of measurement start: 2008-07-28date/time of measurement end: 2008-08-11collection environment: CenceMe is a personal sensing system, which uses sensor data gathered using mobile devices (e.g. sensor-enabled cell phones) to learn about the activities of their carriers.network configuration: The dataset was collected during the deployment of a modified version of the CenceMe application, CenceMeLite, that logged all the sensed information and high-level inferred activities on the phone's on-board flash memory.data collection methodology: The phones recorded information about the system and raw data from accelerometer and GPS devices.limitation: Some users did not use the phone much and thus did not collect useful data.CenceMeLite traces collected by students and staff members at Dartmouth College.The data were collected by means of 20 Nokia N95 phones carried by students and staff members from the departments of Computer Science and Biology at Dartmouth College.
DOI: 10.48320/828c8ba3-f12f-43ca-a304-e1eedb2a38d8
title: Comprehensive Patent Data of the German Democratic Republic (1949-1990)
DOI: 10.4228/zalf-f1a6-7521
title: Data collection on the municipalities of West and East Prignitz from 1860 to 1970.

description: For 226 municipalities of the West and East Prignitz (Brandenburg, East Germany), data on the total area, the areas of the different land use types, the livestock population, the acreage number (“Ackerzahl”) and the number of inhabitants were compiled from historical and more recent publications. The main challenge for this compilation was to merge the tables (to which no maps with the municipality boundaries are attached) with reliable maps so that all data are explicitly related to the respective municipality.
DOI: 10.7910/dvn/6bnstv
title: Test d'un G'nevois

description: just for my test
DOI: 10.5281/zenodo.7152850
title: Segmentation of oocyte zona pellucida in transmitted light images (mouse and human)

description: This dataset has been presented in our paper "An interpretable and versatile machine learning approach for oocyte phenotyping", in bioRxiv. It contains images acquired in transmitted light with different settings of mouse and human oocytes, with the corresponding ground-truth of the zona pellucida segmentation. Mouse oocyte images were taken before and during oocyte maturation (meiosis I). Some human oocyte images were taken during oocyte maturation (meiosis I), and some are M-II oocytes just after fertilization.
DOI: 10.5281/zenodo.7152697
title: Mixed higher-order topology: boundary non-Hermitian skin effect induced by a Floquet bulk

description: Code and data used to produce the numerical results of "Mixed higher-order topology: boundary non-Hermitian skin effect induced by a Floquet bulk"
DOI: 10.5281/zenodo.7152849
title: Segmentation of oocyte zona pellucida in transmitted light images (mouse and human)

description: This dataset has been presented in our paper "An interpretable and versatile machine learning approach for oocyte phenotyping", in bioRxiv. It contains images acquired in transmitted light with different settings of mouse and human oocytes, with the corresponding ground-truth of the zona pellucida segmentation. Mouse oocyte images were taken before and during oocyte maturation (meiosis I). Some human oocyte images were taken during oocyte maturation (meiosis I), and some are M-II oocytes just after fertilization.
DOI: 10.5281/zenodo.7152696
title: Mixed higher-order topology: boundary non-Hermitian skin effect induced by a Floquet bulk

description: Code and data used to produce the numerical results of "Mixed higher-order topology: boundary non-Hermitian skin effect induced by a Floquet bulk"
DOI: 10.6084/m9.figshare.21287112
title: Genetic potential for exopolysaccharide synthesis in activated sludge bacteria uncovered by genome-resolved metagenomics

description: Raw data used for the article "Genetic potential for exopolysaccharide synthesis in activated sludge bacteria uncovered by genome-resolved metagenomics" by Morten Kam Dahl Dueholm, Maaike Besteman, Emil Juel Zeuner, Marie Riisgaard-Jensen, Morten Eneberg Nielsen, Sofie Zacho Vestergaard, Søren Heidelbach, Nicolai Sundgaard Bekker and Per Halkjær Nielsen.
DOI: 10.17861/170fb7b1-bbde-4f5b-b1b6-0c85c5aca718
title: Dataset supporting Exciton-polarons in the presence of strongly correlated electronic states in a MoSe2/WSe2 moiré superlattice
DOI: 10.5281/zenodo.7140340
title: Wallops SuperDARN data in netCDF format (2022-Sep)

description: 2022-Sep Wallops SuperDARN radar data in netCDF format. These files were produced using versions 2.5 and 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication. Note: The 16-antenna array used to generate this data was not using antennas 1, 5, and 6. The RST is available here: https://github.com/SuperDARN/rst The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below. Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview) <strong>Recommended form of acknowledgement for the use of SuperDARN data:</strong> 'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.7140339
title: Wallops SuperDARN data in netCDF format (2022-Sep)

description: 2022-Sep Wallops SuperDARN radar data in netCDF format. These files were produced using versions 2.5 and 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication. Note: The 16-antenna array used to generate this data was not using antennas 1, 5, and 6. The RST is available here: https://github.com/SuperDARN/rst The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below. Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview) <strong>Recommended form of acknowledgement for the use of SuperDARN data:</strong> 'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.7149357
title: 1D-1V Vlasov-Poisson Simulations of Mutual Impedance Experiments for Strong Antenna Emission Amplitudes

description: This dataset contains the outputs of numerical simulations performed to assess the impact of strong antenna emission amplitudes on the diagnostic performance of mutual impedance experiments. In the case of small emission amplitudes, the plasma response to the emission is linear. In the case of large emission amplitude, instead, non-linear wave-wave and wave-particle interactions are triggered. Using the outputs contained in this dataset, we investigated how such wave-wave and wave-particle interactions perturb mutual impedance experiments. Numerical model:<br> The outputs are obtained from a numerical model based on the solution of the 1D-1V Vlasov-Poisson system of equations. The scheme used to solve the model is the one developed by Mangeney, et al. (2002). <em>A Numerical Scheme for the Integration of the Vlasov-Maxwell System of Equations. Journal of Computational Physics</em>, (doi: https://doi.org/10.1006/jcph.2002.7071). The 1D-1V Vlasov-Poisson version of this model is described in Henri, et al. (2010),<em> Vlasov-Poisson simulations of electrostatic parametric instability for localized Langmuir wave packets in the solar wind, Journal of Geophysical Research (Space Physics), 115, 6106 </em> <em>(</em>doi: https://doi.org/10.1029/2009JA014969 <em>)</em> <em>.</em>
DOI: 10.5281/zenodo.7149358
title: 1D-1V Vlasov-Poisson Simulations of Mutual Impedance Experiments for Strong Antenna Emission Amplitudes

description: This dataset contains the outputs of numerical simulations performed to assess the impact of strong antenna emission amplitudes on the diagnostic performance of mutual impedance experiments. In the case of small emission amplitudes, the plasma response to the emission is linear. In the case of large emission amplitude, instead, non-linear wave-wave and wave-particle interactions are triggered. Using the outputs contained in this dataset, we investigated how such wave-wave and wave-particle interactions perturb mutual impedance experiments. Numerical model:<br> The outputs are obtained from a numerical model based on the solution of the 1D-1V Vlasov-Poisson system of equations. The scheme used to solve the model is the one developed by Mangeney, et al. (2002). <em>A Numerical Scheme for the Integration of the Vlasov-Maxwell System of Equations. Journal of Computational Physics</em>, (doi: https://doi.org/10.1006/jcph.2002.7071). The 1D-1V Vlasov-Poisson version of this model is described in Henri, et al. (2010),<em> Vlasov-Poisson simulations of electrostatic parametric instability for localized Langmuir wave packets in the solar wind, Journal of Geophysical Research (Space Physics), 115, 6106 </em> <em>(</em>doi: https://doi.org/10.1029/2009JA014969 <em>)</em> <em>.</em>
DOI: 10.6084/m9.figshare.24209121.v1
title: Additional file 9 of Astrocytes of the optic nerve exhibit a region-specific and temporally distinct response to elevated intraocular pressure

description: Additional file 9: Supplementary Table 7. Differentially expressed genes and pathways identified in ONP 30 vs 7 days.
DOI: 10.6084/m9.figshare.24209124.v1
title: Additional file 10 of Astrocytes of the optic nerve exhibit a region-specific and temporally distinct response to elevated intraocular pressure

description: Additional file 10: Supplementary Table 8. Common differentially expressed genes in all three timpoint comparisons in the ONP.
DOI: 10.6084/m9.figshare.24295700.v1
title: Additional file 1 of Equitable access to COVID-19 diagnostics: factors associated with the uptake of rapid antigen testing in Victoria, Australia, January – February 2022

description: Supplementary Material 1
DOI: 10.4227/05/5899149e044d9
title: TERN Ausplots Forest Monitoring Network - Forest Fuel Survey, 2014-2016

description: This dataset is comprised of data on the surface, near-surface, and elevated fuel loads for each of the Forest Ausplots.  It includes iButton data on temperature and humidity, as well as data on litterfall and decomposition rates.  Lastly we provide soil nutrient data, species composition of the understorey and midstorey, and panorama photos from the plot centre.  This dataset is the second version of the TERN AusPlots Forest Monitoring Network - Forest Fuel Survey Dataset, 2014-2015 http://doi.org/10.4227/05/551D10556128A
DOI: 10.5281/zenodo.10183715
title: The relationships of spiritual health, pregnancy worries and stress and perceived social support with childbirth fear and experience: A path analysis

description: data set
DOI: 10.5281/zenodo.10183716
title: The relationships of spiritual health, pregnancy worries and stress and perceived social support with childbirth fear and experience: A path analysis

description: data set
DOI: 10.4227/05/551d10556128a
title: TERN AusPlots Forest Monitoring Network - Forest Fuel Survey, 2014-2015

description: The dataset comprises well-designed survey data from the first fuel load survey across 192 transects within the 48 AusPlots Forests1 ha monitoring plots across Australia. Data includes: [1] Site identifiers (ID and Site Name) and site- or transect- specific notes from the fuel survey campaign; [2] Transect survey dates; [3] Transect photograph numbers and attributes (Bearing, Slope and Aspect); [4] Fuel measurements (Grass and Litter height; Duff depth; Fine Woody fuel counts and Coarse Woody fuel counts and diameter; Projective cover for biomass components (Grass, Litter, Herbs, Vines and Shrubs), and Mass of biomass components (Grass, Litter, Herbs and Vines)); [5] Moisture content for biomass components (Grass, Litter, Herbs and Vines).
DOI: 10.6084/m9.figshare.21261716
title: Hydrothermal alteration, lithogeochemical marker units and vectors towards mineralisation at the Svärdsjö Zn-Pb-Cu deposit, Bergslagen, Sweden

description: The Svärdsjö Zn-Pb-Cu deposit is situated in the heavily mineralised Bergslagen lithotectonic unit of the Fennoscandian shield, south-central Sweden. Intense hydrothermal alteration followed by a strong overprint by deformation and metamorphism during the Svecokarelian orogeny complicate interpretation of the local geology. Integration of whole-rock lithogeochemical and petrographic methods has allowed the mainly dacitic volcanic host succession and effects of ore-related hydrothermal alteration to be characterised. Mineralisation is hosted by 2–15 m thick, commonly skarn-altered dolomitic marble interbeds. Zones of strong–intense hydrothermal chlorite-sericite alteration envelop the marble units, recording mass gains of Fe and Mg, as well as Na depletion. Minerals such as cordierite, anthophyllite and sillimanite formed in these rocks during regional metamorphism. Mineralisation via sub-seafloor replacement is suggested for the deposit based on alteration zoning and the irregular, stratabound, marble-hosted style of sulphide lenses. It is inferred that mineralisation formed via neutralisation of hot, acidic metalliferous fluids. Geochemically and lithologically distinct units adjacent to the mineralised zones can serve as marker units to aid further exploration in the area. Mass change calculations reveal that Fe and Mg enrichment, as well as Na depletion exhibit detectable changes extending up to 100 m from the mineralised lenses, providing exploration vectors.
DOI: 10.25901/5ce795d313db8
title: A Maximum Entropy Production Evaporation and Transpiration dataset at 0.05 degree across Australia for 2003 -2013

description: Evaporation, Transpiration, and Evapotranspiration Products for Australia based on the Maximum Entropy Production model (MEP)
DOI: 10.6084/m9.figshare.24605280.v1
title: Meta-analysis dataset metadata

description: Descriptions of data derived from previously published studies and used in a meta-analysis as desribed in "Prey responses to direct and indirect predation risk cues reveal the importance of multiple information sources."
DOI: 10.6084/m9.figshare.24605280
title: Meta-analysis dataset metadata

description: Descriptions of data derived from previously published studies and used in a meta-analysis as desribed in "Prey responses to direct and indirect predation risk cues reveal the importance of multiple information sources."
DOI: 10.6084/m9.figshare.24151308
title: Additional file 1 of Assessment of potentially inappropriate medication use among geriatric outpatients in the Slovak Republic

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.24151308.v1
title: Additional file 1 of Assessment of potentially inappropriate medication use among geriatric outpatients in the Slovak Republic

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.24295700
title: Additional file 1 of Equitable access to COVID-19 diagnostics: factors associated with the uptake of rapid antigen testing in Victoria, Australia, January – February 2022

description: Supplementary Material 1
DOI: 10.5281/zenodo.10183731
title: SRR12447380 as fastq

description: The fastq SRR12447380 has been extracted with fasterq-dump.
DOI: 10.5281/zenodo.10183730
title: SRR12447380 as fastq

description: The fastq SRR12447380 has been extracted with fasterq-dump.
DOI: 10.25901/r3bk-be98
title: Long-term Trends of Water Quality and Quantity in Forested Water Catchments in NSW