cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10809392
title: Dataset for "Overwinter and spring thaw nitrous oxide fluxes in a northern Prairie cropland are limited but a significant proportion of annual emissions"

description: This dataset contains the data used in the publication "Overwinter and spring thaw nitrous oxide fluxes in a northern Prairie cropland are limited but a significant proportion of annual emissions" in Global Biogeochemical Cycles. This study presented micrometeorological N2O fluxes measured using the flux-gradient method over 4 years in Saskatchewan, Canada, to evaluate the magnitude of freeze-thaw N2O emissions and investigate its driving factors.  The files contain the daily average N2O emissions and supporting environmental data.
DOI: 10.5281/zenodo.10809393
title: Dataset for "Overwinter and spring thaw nitrous oxide fluxes in a northern Prairie cropland are limited but a significant proportion of annual emissions"

description: This dataset contains the data used in the publication "Overwinter and spring thaw nitrous oxide fluxes in a northern Prairie cropland are limited but a significant proportion of annual emissions" in Global Biogeochemical Cycles. This study presented micrometeorological N2O fluxes measured using the flux-gradient method over 4 years in Saskatchewan, Canada, to evaluate the magnitude of freeze-thaw N2O emissions and investigate its driving factors.  The files contain the daily average N2O emissions and supporting environmental data.
DOI: 10.5281/zenodo.10809799
title: Title: Health-Related Quality of Life and DNA Methylation-Based Aging Biomarkers among Survivors of Childhood Cancer

description: Abstract

Background: Childhood cancer survivors are at high risk for morbidity and mortality and poor patient-reported outcomes, typically health-related-quality-of-life (HRQOL). However, associations between DNA methylation (DNAm)-based aging biomarkers and HRQOL have not been evaluated.

Methods: DNAm was generated with Infinium EPIC BeadChip on blood-derived DNA (median[range] for age at blood draw=34.5[18.5-66.6] years) and HRQOL was assessed with age at survey (32.3[18.4-64.5] years) from 2,206 survivors in the St. Jude Lifetime Cohort. DNAm-based aging biomarkers, including epigenetic age using multiple clocks (e.g., GrimAge) and others (e.g., DNAmB2M: beta-2-microglobulin; DNAmADM: adrenomedullin), were derived from the DNAm Age Calculator (https://dnamage.genetics.ucla.edu). HRQOL was assessed using the Medical Outcomes Study 36-Item Short-Form Health Survey to capture eight domains, and physical and mental component summaries (PCS and MCS). General linear models evaluated associations between HRQOL and epigenetic age acceleration (EAA, e.g., EAA_GrimAge) or other age-adjusted DNAm-based biomarkers (e.g., ageadj_DNAmB2M) after adjusting for age at blood draw, sex, cancer treatments, and DNAm-based surrogate for smoking pack-years. All P values were 2-sided.

Results: Worse HRQOL was associated with greater EAA_GrimAge (PCS: β[95%CI]=-0.18[-0.251,-0.11] years, P=1.85×10-5; and four individual HRQOL domains), followed by ageadj_DNAmB2M (PCS: -0.08[-0.124,-0.037], P=0.003; and three individual HRQOL domains), and ageadj_DNAmADM (PCS: -0.082[-0.125,-0.039], P=0.002; and two HRQOL domains). EAA_Hannum (Hannum clock) was not associated with any HRQOL.

Conclustion: Overall and domain-specific measures of HRQOL are associated with DNAm measures of biological aging. Future longitudinal studies should test biological aging as a potential mechanism.
DOI: 10.5281/zenodo.10809800
title: Title: Health-Related Quality of Life and DNA Methylation-Based Aging Biomarkers among Survivors of Childhood Cancer

description: Abstract

Background: Childhood cancer survivors are at high risk for morbidity and mortality and poor patient-reported outcomes, typically health-related-quality-of-life (HRQOL). However, associations between DNA methylation (DNAm)-based aging biomarkers and HRQOL have not been evaluated.

Methods: DNAm was generated with Infinium EPIC BeadChip on blood-derived DNA (median[range] for age at blood draw=34.5[18.5-66.6] years) and HRQOL was assessed with age at survey (32.3[18.4-64.5] years) from 2,206 survivors in the St. Jude Lifetime Cohort. DNAm-based aging biomarkers, including epigenetic age using multiple clocks (e.g., GrimAge) and others (e.g., DNAmB2M: beta-2-microglobulin; DNAmADM: adrenomedullin), were derived from the DNAm Age Calculator (https://dnamage.genetics.ucla.edu). HRQOL was assessed using the Medical Outcomes Study 36-Item Short-Form Health Survey to capture eight domains, and physical and mental component summaries (PCS and MCS). General linear models evaluated associations between HRQOL and epigenetic age acceleration (EAA, e.g., EAA_GrimAge) or other age-adjusted DNAm-based biomarkers (e.g., ageadj_DNAmB2M) after adjusting for age at blood draw, sex, cancer treatments, and DNAm-based surrogate for smoking pack-years. All P values were 2-sided.

Results: Worse HRQOL was associated with greater EAA_GrimAge (PCS: β[95%CI]=-0.18[-0.251,-0.11] years, P=1.85×10-5; and four individual HRQOL domains), followed by ageadj_DNAmB2M (PCS: -0.08[-0.124,-0.037], P=0.003; and three individual HRQOL domains), and ageadj_DNAmADM (PCS: -0.082[-0.125,-0.039], P=0.002; and two HRQOL domains). EAA_Hannum (Hannum clock) was not associated with any HRQOL.

Conclustion: Overall and domain-specific measures of HRQOL are associated with DNAm measures of biological aging. Future longitudinal studies should test biological aging as a potential mechanism.
DOI: 10.5281/zenodo.10790350
title: Code generation for classical-quantum software systems modelled in UML - Dataset and EGL Transformation

description: This dataset contains all the elements necessary for carry out the EGL transformation from UML models to Hybrid and Quantum code, as well as to carry its validation. 



Quantum computing is gaining an increasing interest since it can solve certain problems exponentially faster than classical computing. Thus, many organizations are researching and launching investments for integrating quantum software into their existing systems. Software modernization (as based on Model-Driven Engineering) has been proposed to migrate from/to the so-called hybrid software systems, which integrate classical and quantum software. In that process, both, reverse engineering and restructuring phases, have already been investigated. However, forward engineering phase for generating hybrid source code from high-level design models has not yet been addressed. Thus, this research proposes a quantum code generation technique from extended UML design models. It consists of a set of Model-to-Text transformations (defined through Epsilon Generation Language) to generate both Python and Qiskit code, which respectively integrate classical and quantum code. The transformation has been validated through a multi-case study with 7 hybrid software systems modelled in UML, which demonstrated that the transformation is effective and efficient. The implication of this work is that the software modernization process for hybrid software systems can be completed by tackling forward engineering phase, and that Model-Driven Engineering can therefore globally facilitate industry adoption of quantum software.
DOI: 10.5281/zenodo.10790351
title: Code generation for classical-quantum software systems modelled in UML - Dataset and EGL Transformation

description: This dataset contains all the elements necessary for carry out the EGL transformation from UML models to Hybrid and Quantum code, as well as to carry its validation. 



Quantum computing is gaining an increasing interest since it can solve certain problems exponentially faster than classical computing. Thus, many organizations are researching and launching investments for integrating quantum software into their existing systems. Software modernization (as based on Model-Driven Engineering) has been proposed to migrate from/to the so-called hybrid software systems, which integrate classical and quantum software. In that process, both, reverse engineering and restructuring phases, have already been investigated. However, forward engineering phase for generating hybrid source code from high-level design models has not yet been addressed. Thus, this research proposes a quantum code generation technique from extended UML design models. It consists of a set of Model-to-Text transformations (defined through Epsilon Generation Language) to generate both Python and Qiskit code, which respectively integrate classical and quantum code. The transformation has been validated through a multi-case study with 7 hybrid software systems modelled in UML, which demonstrated that the transformation is effective and efficient. The implication of this work is that the software modernization process for hybrid software systems can be completed by tackling forward engineering phase, and that Model-Driven Engineering can therefore globally facilitate industry adoption of quantum software.
DOI: 10.5281/zenodo.10794206
title: TVC Experiment 2018/19: Snow field measurements

description: This dataset contains in situ snow measurements recorded as part of Environment and Climate Change Canada's 2018-2019 Trail Valley Creek Snow Experiment (TVC Experiment 18/19). These measurements were collected to evaluate coincident airborne and satellite radar measurements to better understand snow-radar interactions in a tundra environment. The measurements were recorded 50 km north of the town of Inuvik, Northwest Territories around the Trail Valley Creek research station (https://www.trailvalleycreek.ca/). Three periods of measurement took place in November 2018, January 2019, and March 2019 . Measurements and observations were recorded in handwritten snow pit sheets before being transcribed to electronic sheets. The dataset is organized by surveyed site and includes: 1) manual snowpit measurements of the following parameters: Total snow depth, vertical profiles of snow temperature, snow density, stratigraphy and grain size and notes on site characteristics and environmental conditions. 2) distributed snow depth measurements around the surveyed sites recorded with an automatic snow depth probe (magnaprobe), 3) SnowMicroPenetrometer (SMP) force profiles coincident with the snowpit measurements and distributed along the magnaprobe transects with its metadata file, and 4) snow microstructure profiles measuring specific surface area (SSA) using the IceCube instrument.
description: All geographic coordinates were recorded with Garmin GPS units using the geographic coordinate system: WGS 84 (EPSG: 4236). 

There are four type of data files: snow pit sheets, magnaprobe data, SMP-derived snow parameters and raw SMP penetration force profiles. Snow pit sheets and magnaprobe data are provided as Microsoft Excel (.xlsx) files. SMP-derived snow parameters are provided in comma-separated value (.csv) files. The raw SMP force profiles are binary (.pnt) files.

A synthesized version of the magnaprobe snow depth data extracted and associated with a specific snow pit was previously published here https://doi.org/10.5281/zenodo.8350643 .
DOI: 10.5281/zenodo.10794867
title: TVC Experiment 2018/19: TerraSAR-X backscatter data

description: This dataset contains the processed, backscatter data from TerraSAR-X (TSX) satellite data, as part of Environment and Climate Change Canada's 2018-2019 Trail Valley Creek Snow Experiment (TVC Experiment 18/19). These TSX data were collected and processed to evaluate against a network of Steven’s HydraProbe soil monitoring sensors, and coincident in situ snowpit measurements, airborne radar, and other satellite radar data to better understand soil-snow-radar interactions in a tundra environment. The TSX data was ordered to provide a wintertime series of repeat overpasses from September 2018 to June 2019, over the Trail Valley Creek research station (https://www.trailvalleycreek.ca/) in Northwest Territories, Canada. Three periods of in situ snow measurement took place in November 2018, January 2019, and March 2019. TSX data was acquired from two stripmap orbits, one in HH/HV and the other in VV/VH. The TSX products were processed using the European Space Agency’s (ESA), Sentinel Application Platform (SNAP) software which included image calibration to sigma nought and orthorectification. An average of the calibrated backscatter and incidence angles was then calculated for an area 100 x 100 meters surrounding the geographic coordinates of each snowpit.
description: The TerraSAR-X data are available through the DLR (© DLR 2019).
DOI: 10.5281/zenodo.8284015
title: Data from: Discovery of BbX transcription factor in the patagonian blennie: Exploring expression changes following combined bacterial and thermal stress exposure

description: Abstract:
High-Mobility Group (HMG) proteins are involved in different processes such as transcription, replication, DNA repair, and immune response. The role of HMG proteins in the immune response of fish has been studied mainly for HMGB1, where its expression can be induced by the stimulation of viral/bacterial PAMPs and can act as a proinflammatory mediator and as a global regulator of transcription in response to temperature. However, for BbX this role remains to be discovered. In this work, we identified the BbX of E. maclovinus and evaluated the temporal expression levels after simultaneous challenge with P. salmonis and thermal stress. Phylogenetic analysis does not significantly deviate from the expected organismal relationships suggesting orthologous relationships and that BbX was present in the common ancestor of the group. BbX mRNA expression levels were very high in the intestinal tissue of E. maclovinus (foregut, midgut, and hindgut). Nevertheless, the protein levels analyzed by WB showed the highest levels of BbX protein in the liver (constitutive expression). On the other hand, the mRNA expression levels of BbX in the liver of E. maclovinus injected with P. salmonis and subjected to thermal stress showed an increase at days 16 and 20 in all treatments applied at 12 °C and 18 °C. Meanwhile, the protein levels quantified by WB showed a statistically significant increase in the HMG-Bbx at all experimental times (4, 8, 12, 16, and 20 dpi). However, at 4 dpi the HMG-Bbx protein levels were much higher than the other days evaluated. The results suggest that BbX protein may be implicated in the response mechanism to temperature and bacterial stimulation in the foregut, midgut, hindgut, and liver, according to our findings at the level of mRNA and protein. Furthermore, our WB analysis suggests an effect of P. salmonis on the expression of this protein that can be observed in condition C+ 12 °C compared to C- 12 °C. Then, there is an effect of temperature that can be evidenced in the condition AM 18 °C and SM 18 °C, compared to AB 18 °C and SB 18 °C at 4, 8, and 12 dpi. We found not differences in the levels of this protein if the thermal stress is achieved through acclimatization or shock. More research is necessary to clarify the importance of this type of HMG in the immune response and thermal tolerance in fish.
description: This work was supported by the Fondap IDEAL program (15150003), and ANID—Millenium Science Initiative—BASE. ANID — Programa Iniciativa Científica Milenio — ICN2021_002 to LV-C.
DOI: 10.5281/zenodo.8284016
title: Data from: Discovery of BbX transcription factor in the patagonian blennie: Exploring expression changes following combined bacterial and thermal stress exposure

description: Abstract:
High-Mobility Group (HMG) proteins are involved in different processes such as transcription, replication, DNA repair, and immune response. The role of HMG proteins in the immune response of fish has been studied mainly for HMGB1, where its expression can be induced by the stimulation of viral/bacterial PAMPs and can act as a proinflammatory mediator and as a global regulator of transcription in response to temperature. However, for BbX this role remains to be discovered. In this work, we identified the BbX of E. maclovinus and evaluated the temporal expression levels after simultaneous challenge with P. salmonis and thermal stress. Phylogenetic analysis does not significantly deviate from the expected organismal relationships suggesting orthologous relationships and that BbX was present in the common ancestor of the group. BbX mRNA expression levels were very high in the intestinal tissue of E. maclovinus (foregut, midgut, and hindgut). Nevertheless, the protein levels analyzed by WB showed the highest levels of BbX protein in the liver (constitutive expression). On the other hand, the mRNA expression levels of BbX in the liver of E. maclovinus injected with P. salmonis and subjected to thermal stress showed an increase at days 16 and 20 in all treatments applied at 12 °C and 18 °C. Meanwhile, the protein levels quantified by WB showed a statistically significant increase in the HMG-Bbx at all experimental times (4, 8, 12, 16, and 20 dpi). However, at 4 dpi the HMG-Bbx protein levels were much higher than the other days evaluated. The results suggest that BbX protein may be implicated in the response mechanism to temperature and bacterial stimulation in the foregut, midgut, hindgut, and liver, according to our findings at the level of mRNA and protein. Furthermore, our WB analysis suggests an effect of P. salmonis on the expression of this protein that can be observed in condition C+ 12 °C compared to C- 12 °C. Then, there is an effect of temperature that can be evidenced in the condition AM 18 °C and SM 18 °C, compared to AB 18 °C and SB 18 °C at 4, 8, and 12 dpi. We found not differences in the levels of this protein if the thermal stress is achieved through acclimatization or shock. More research is necessary to clarify the importance of this type of HMG in the immune response and thermal tolerance in fish.
description: This work was supported by the Fondap IDEAL program (15150003), and ANID—Millenium Science Initiative—BASE. ANID — Programa Iniciativa Científica Milenio — ICN2021_002 to LV-C.
DOI: 10.5281/zenodo.10809879
title: IMPROVING METHODS OF SOLVING PROBLEMS OF A PRACTICAL NATURE IN PRIMARY GRADE MATHEMATICS CLASSES
DOI: 10.5281/zenodo.10809880
title: IMPROVING METHODS OF SOLVING PROBLEMS OF A PRACTICAL NATURE IN PRIMARY GRADE MATHEMATICS CLASSES
DOI: 10.5281/zenodo.10794979
title: TVC Experiment 2018/19: LiDAR processed soil roughness

description: This dataset contains the processed LiDAR data of Lange et al. (2021) (https://doi.pangaea.de/10.1594/PANGAEA.934387), as part of Environment and Climate Change Canada's 2018-2019 Trail Valley Creek Snow Experiment (TVC Experiment 18/19). These measurements were collected to evaluate soil roughness impacts on airborne and satellite radar measurements to better understand snow-radar interactions in a tundra environment. The measurements were around the Trail Valley Creek research station (https://www.trailvalleycreek.ca/) in Northwest Territories, Canada. Three periods of ground measurement took place in November 2018, January 2019, and March 2019. The dataset consists of LiDAR estimates of surface roughness statistics including the Root Mean Square (RMS) height and correlation length for a 100 m footprint around all in situ snowpit survey sites.
description: The original dataset was collected by Lange et al. (2021) and can be retrieved here: https://doi.pangaea.de/10.1594/PANGAEA.934387
DOI: 10.15129/c8874cdb-adda-4dea-946d-2822059ad8ca
title: Experimental Data Relating to the Thesis 'Scaleable Oral Dose Formulations'

description: The data herein relates to the thesis 'Scaleable Oral Dose Formulations'. The main aim of this project was to develop a method for accurately scaling solid oral dosage forms. The data herein details the development of a method for the production of scaleable doses using a combination of hot melt extrusion and 3D printing. All data is saved within folders corresponding to the relevant ELN numbers and then grouped under chapter title to enable the reader to find the relevant methodology. All the chapter folders feature a range of data, such as Origin, text, CAD, gcode, JPEG, PNG, TIFF, Bitmap, EMF, Adobe PDF, MS Excel, MS Powerpoint, MS Word, Minitab Project (MPJ), MODDE Investigation and program specific files. The data was collected using HPLC with the Agilent software MassHunter Qualitative Analysis, x-ray diffraction with the Bruker software Diffrac. EVA (Diffrac Suite files), printing using the Leapfrog Creatr HS and Simplify3D (3D Model files), differential scanning calorimetry and thermogravimetric analysis with the Netzsch software Proteous analysis (NGB-SDG and NGB-DDG files), scanning electron microscopy with the Keysight SEM software, TOF-SIMS using the software IONTOF, Nano CT with the Bruker SkyScan software, USP dissolution coupled with UV spectroscopy using the software packages IDIS and UVWin, Raman mapping using the mPAT software Meta Analyser (SCOPE and MPAT files) and texture analysis using Exponent software (TEE32 Graph files). With the exception of the image and program method files, all data was gathered using Excel and graphs were plotted using Origin, carrying out statistical analysis using Minitab.
DOI: 10.5281/zenodo.10794953
title: TVC Experiment 2018/19: Radarsat-2 backscatter data

description: This dataset contains the processed, backscatter data from Radarsat-2 (RSAT-2) satellite data, as part of Environment and Climate Change Canada's 2018-2019 Trail Valley Creek Snow Experiment (TVC Experiment 18/19). These RSAT-2 data were collected and processed evaluate against a network of Steven’s HydraProbe soil monitoring sensors, and coincident in situ snowpit measurements, airborne radar, and other satellite radar data to better understand soil-snow-radar interactions in a tundra environment. The RSAT-2 data was ordered to provide wintertime coverage from September 2018 to July 2019, over the Trail Valley Creek research station (https://www.trailvalleycreek.ca/) in Northwest Territories, Canada. Three periods of in situ snow measurement took place in November 2018, January 2019, and March 2019. RSAT-2 data was acquired in Wide Fine Quad mode HH+HV+VH+VV. The RSAT-2 products were processed using the European Space Agency’s (ESA), Sentinel Application Platform (SNAP) software which included image calibration to sigma nought and orthorectification. An average of the calibrated backscatter and incidence angles was then calculated for an area 100 x 100 meters surrounding the geographic coordinates of each snowpit.
description: RADARSAT-2 Data and Products © MacDonald, Dettwiler and Associates Ltd. (2018) – All Rights Reserved. RADARSAT is an official trademark of the Canadian Space Agency.
DOI: 10.5281/zenodo.10794917
title: TVC Experiment 2018/19: UMass Airborne Ku-Band SAR data

description: This dataset contains the processed, backscatter data from the airborne UMass Ku-Band SAR data, as part of Environment and Climate Change Canada's 2018-2019 Trail Valley Creek Snow Experiment (TVC Experiment 18/19). These measurements were collected to evaluate coincident ground snow data, airborne and satellite radar measurements to better understand snow-radar interactions in a tundra environment. The measurements were acquired around the Trail Valley Creek research station (https://www.trailvalleycreek.ca/) in Northwest Territories, Canada. Three periods of ground measurement, coincident with these airborne measurements, took place in November 2018, January 2019, and March 2019. The dataset consists of processed imagery with 100m averaged backscatter data and incidence angle data around all surveyed sites. Flight information and coincident field measurement metadata are also included.
DOI: 10.5287/ora-ng1anx1mp
title: Water Audit of Healthcare Facilities in Kitui County, Kenya

description: A survey of water service and sanitation levels at healthcare facilities in Kitui County, Kenya, carried out in Sept-Oct 2019. Sources of WASH financing and perceived concerns relating to WASH were also surveyed.