cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.60520/ieda/113074
title: Chemical and isotopic analyses of metasomatized ultramafic xenoliths and Quaternary backarc lavas from southern Peru

description: Newly recovered xenoliths from the modern backarc region in southern Peru were collected to investigate the metasomatic history of the northern Altiplano lithosphere and improve constraints on the formation of recent potassic magmatism in the region. The xenoliths described here were collected from a Quaternary latite lava flow near Huarocondo, Peru and include calcite-bearing phlogopite-orthopyroxenites, harzburgites, a wehrlite, and a phlogopite schist. Xenoliths were analyzed for C and O stable isotope ratios of calcite and H stable isotope ratios of phlogopite. Mineral chemical analyses where performed on orthopyroxenite and harzburgite xenoliths via electron microbrobe, and bulk rock trace element analyses of all xenoliths were performed via ICPMS. New bulk rock major and trace element analyses of four Quaternary lavas flows belonging to the Rumicolca Formation are also presented. For a detailed discussion of the research motivation, geologic background, analytical techniques, and interpretations, please refer to the related publication.
description: Hiett, C.D., Newell, D.L., Shervais, J.W., "Metasomatism and Melting of Cordilleran Lithosphere Resulting from Sediment Relamination during Shallow Subduction." Submitted to AGU Advances.
DOI: 10.25934/pr00009470
title: Can we trust GPT-4 Turbo Vision to estimate carbohydrate and caloric content from food images within the broad context of diabetes?

description: With 470 million people are affected by type 1 and type 2 diabetes and an additional 298 million people with prediabetes. We know deciding what to eat to support type 1 and type 2 diabetes management can be complicated. We also know diet changes like higher fiber diets drastically impact outcomes like improving “glycaemic control, blood lipids, weight, and inflammation”. We are also aware that there are too few clinicians and health coaches to support personalized medicine on a meal-to-meal basis. We want to explore the capabilities of GPT-4 Turbo with Vision as a “pocket coach”. But for it to be viable as part of a larger model of care, we need to know if we can trust the output. This study is about comparing estimates of carbohydrates and calories based on food photos from the pocket coach to macronutrient estimates by trained nutrition experts. The goal is to determine accuracy, and validity of the pocket coaches estimates. We ask the pocket coach to analyse the carbohydrate calorie content of food images and compare them to previous annotations by Pennington Biomedical Research Center. We will look both at the content of carbohydrate in grams and calories in kcals, as well as relative categories of carbohydrates (very low, low, moderate, and high carbohydrate content). Then we will test to see whether there is difference in how the pocket coach rates nutritional estimates, and explore under what conditions the pocket coach fails.
DOI: 10.25612/837.e7wxd1dryba4
title: Ozone (44201_O3) readings

description: Hourly readings of ozone (O3 - parameter code 44201) from air quality/meteorology monitoring sites in the 13 counties of the Houston-Galveston Area Council.
DOI: 10.6084/m9.figshare.24722163.v1
title: Microservices Dataset - Complete Version

description: This is a microservices dataset. For an exclusive explanation, please take a look at the paper.<br><br>In particular, this file contains all the projects labeled as: <br>- <i>Is it a microservices?:</i> <i>Yes</i> | <i>Uknown</i><br>- <i>Archived:</i> <i>Yes</i> | <i>No</i>
DOI: 10.48623/aperta.263312
title: The Validity And Reliability Study Of The First-Time Fathers Questionnaire In Turkish

description: The father's participation in the birth contributes significantly to the mother's birth experiences as well as to the fatherhood process. Since fathers have traditionally not been allowed to attend childbirth in Turkish public hospitals, which now is changing, there is a lack of research in this area. To remedy this shortcoming, a questionnaire that explores the Turkish fathers' experiences of childbirth is needed. The study aims to translate, validate, and adapt the pre-existing <em>First-Time Fathers’ Questionnaire</em> to the Turkish language and culture. In the first stage of the study, the questionnaire was translated to Turkish. Expert opinions of the <em>First Time Father Questionnaire</em> were taken and the content validity was checked. The revised questionnaire was then completed by 110 fathers. The average age of the fathers participating in the study was 32.12±6.8 and 80% of them were found to be middle class. The construct validity of the questionnaire was tested with explanatory factor analysis and confirmatory factor analysis, finally a test-retest was performed. The Cronbach's alpha coefficient for each dimension of the 20-items questionnaire was as follows: knowledge = 0.90, acceptance = 0.90, anxiety = 0.88, and emotional support = 0.66. All sub-dimensions correspond to 68.5% of the total variance. The confirmatory factor analysis model showed consistency for the data (X2 / DF = 1.078; RMSA = 0.027; CFI = 0.992; GFI = 0.900; AGFI.0.829). Therefore, the adaptation of the <em>First Time Fathers Questionnaire</em> is a valid and reliable instrument in evaluating the childbirth experiences of first-time fathers in Turkish culture.
DOI: 10.6084/m9.figshare.24722232.v1
title: Microservices Dataset - Filtered version

description: This is a microservices dataset. For an exclusive explanation, please take a look at the paper.<br><br>In particular, this file contains all the projects labeled as:<br>- <i>Is it a microservices?:</i> <i>Yes</i> <br>- <i>Archived:</i> <i>No</i>
DOI: 10.25612/837.1m8rnp70qa79
title: U.S. Climate Vulnerability Index - H-GAC Extract

description: Extract of Environmental Defense Fund and Texas A&M's U.S. Climate Vulnerability Index, which identifies communities facing climate change impacts, for the H-GAC region.
DOI: 10.6084/m9.figshare.24709329.v1
title: data for peer review

description: The data of field decomposition experiment is provided. The meaning of variables and units can be found in the readme file.
DOI: 10.5281/zenodo.10019004
title: Selected L-Galaxies and binary_c output data (Yates+23)

description: Dataset to accompany the publication entitled "The impact of binary stars on the dust and metal evolution of galaxies" by R. M. Yates, D. Hendriks, A. P. Vijayan, R. G. Izzard, P. A. Thomas, and P. Das.
 
The L-Galaxies files included in this dataset were generated from the MM+binaryC and MM+singleStars versions of L-Galaxies, run in snapshot mode on representative sub-volumes of the Millennium-I and Millennium-II simulations, with the LITE_OUTPUT switch turned on. In detail:
 
MM+binaryC version:
SA_MM+binaryC_MRI_z0.00_0-5: Zip file containing output files (in binary format) for the MM+binaryC version of L-Galaxies in snapshot mode, run on treefiles 0-5 of Millennium-I at redshift 0.00.
 
SA_MM+binaryC_MRI_z0.00-8.22_0-5: Zip file containing output files (in binary format) for the MM+binaryC version of L-Galaxies in snapshot mode, run on treefiles 0-5 of Millennium-I at nine selected redshifts from 0.00 to 8.22.
 
SA_MM+binaryC_MRII_z#.##_40-79: Zip files containing output files (in binary format) for the MM+binaryC version of L-Galaxies in snapshot mode, run on treefiles 40-79 of Millennium-II at redshift #.## = [0.00,1.04,2.07,3.11,3.95,5.03,5.92,6.97,8.22].
 
 
MM+singleStars version:
SA_MM+singleStars_MRI_z0.00_0-5: Zip file containing output files (in binary format) for the MM+singleStars version of L-Galaxies in snapshot mode, run on treefiles 0-5 of Millennium-I at redshift 0.00.
 
SA_MM+singleStars_MRI_z0.00-8.22_0-5: Zip file containing output files (in binary format) for the MM+singleStars version of L-Galaxies in snapshot mode, run on treefiles 0-5 of Millennium-I at nine selected redshifts from 0.00 to 8.22.
 
SA_MM+singleStars_MRII_z#.##_40-79: Zip files containing output files (in binary format) for the MM+singleStars version of L-Galaxies in snapshot mode, run on treefiles 40-79 of Millennium-II at redshift #.## = [0.00,1.04,2.07,3.11,3.95,5.03,5.92,6.97,8.22].
 
 
Other:L-Galaxies_and_binaryC_processing:
a) A set of simple python scripts to read the L-Galaxies outputs, process them into samples (as python "dictionaries"), and make some plots (including those presented in Yates+23). To use, place the desired output files into the /output folder, and execute main_lgals.py. Switches are provided at the top of main_lgals.py to modify functionality. The relevant data structure for python is also provided (LGalaxy_snapshots_liteOutput.py), as are conversions between snapshot number, redshift, and other properties for Millennium-I and Millennium-II snapshots for reference (Millennium_Planck1_Snapshots_Redshifts.txt and MillenniumII_Planck1_Snapshots_Redshifts.txt). For catalogues containing star formation histories, the corresponding times and widths of each bin are read from Database_SFH_table.fits.
b) The binaryC ensemble files used in Yates+23 are included, along with a script to read these ensemble files and generate L-Galaxies yield tables from them (process_binaryc_outputs.py). Switches are provided at the top of process_binaryc_outputs.py to modify functionality.
DOI: 10.5281/zenodo.10019005
title: Selected L-Galaxies and binary_c output data (Yates+23)

description: Dataset to accompany the publication entitled "The impact of binary stars on the dust and metal evolution of galaxies" by R. M. Yates, D. Hendriks, A. P. Vijayan, R. G. Izzard, P. A. Thomas, and P. Das.
 
The L-Galaxies files included in this dataset were generated from the MM+binaryC and MM+singleStars versions of L-Galaxies, run in snapshot mode on representative sub-volumes of the Millennium-I and Millennium-II simulations, with the LITE_OUTPUT switch turned on. In detail:
 
MM+binaryC version:
SA_MM+binaryC_MRI_z0.00_0-5: Zip file containing output files (in binary format) for the MM+binaryC version of L-Galaxies in snapshot mode, run on treefiles 0-5 of Millennium-I at redshift 0.00.
 
SA_MM+binaryC_MRI_z0.00-8.22_0-5: Zip file containing output files (in binary format) for the MM+binaryC version of L-Galaxies in snapshot mode, run on treefiles 0-5 of Millennium-I at nine selected redshifts from 0.00 to 8.22.
 
SA_MM+binaryC_MRII_z#.##_40-79: Zip files containing output files (in binary format) for the MM+binaryC version of L-Galaxies in snapshot mode, run on treefiles 40-79 of Millennium-II at redshift #.## = [0.00,1.04,2.07,3.11,3.95,5.03,5.92,6.97,8.22].
 
 
MM+singleStars version:
SA_MM+singleStars_MRI_z0.00_0-5: Zip file containing output files (in binary format) for the MM+singleStars version of L-Galaxies in snapshot mode, run on treefiles 0-5 of Millennium-I at redshift 0.00.
 
SA_MM+singleStars_MRI_z0.00-8.22_0-5: Zip file containing output files (in binary format) for the MM+singleStars version of L-Galaxies in snapshot mode, run on treefiles 0-5 of Millennium-I at nine selected redshifts from 0.00 to 8.22.
 
SA_MM+singleStars_MRII_z#.##_40-79: Zip files containing output files (in binary format) for the MM+singleStars version of L-Galaxies in snapshot mode, run on treefiles 40-79 of Millennium-II at redshift #.## = [0.00,1.04,2.07,3.11,3.95,5.03,5.92,6.97,8.22].
 
 
Other:L-Galaxies_and_binaryC_processing:
a) A set of simple python scripts to read the L-Galaxies outputs, process them into samples (as python "dictionaries"), and make some plots (including those presented in Yates+23). To use, place the desired output files into the /output folder, and execute main_lgals.py. Switches are provided at the top of main_lgals.py to modify functionality. The relevant data structure for python is also provided (LGalaxy_snapshots_liteOutput.py), as are conversions between snapshot number, redshift, and other properties for Millennium-I and Millennium-II snapshots for reference (Millennium_Planck1_Snapshots_Redshifts.txt and MillenniumII_Planck1_Snapshots_Redshifts.txt). For catalogues containing star formation histories, the corresponding times and widths of each bin are read from Database_SFH_table.fits.
b) The binaryC ensemble files used in Yates+23 are included, along with a script to read these ensemble files and generate L-Galaxies yield tables from them (process_binaryc_outputs.py). Switches are provided at the top of process_binaryc_outputs.py to modify functionality.
DOI: 10.6084/m9.figshare.24709329
title: Data of 'Divergent role of biotic and abiotic controls in the decomposition of standing and soil surface litter in a semi-arid steppe'

description: Data of litter decomposition field experiment. The meaning and units of variables can be found in the readme file
DOI: 10.6084/m9.figshare.24709329.v2
title: data for peer review

description: Data of 'Divergent role of biotic and abiotic controls in the decomposition of standing and soil surface litter in a semi-arid steppe'
DOI: 10.6084/m9.figshare.24709329.v3
title: Data of 'Divergent role of biotic and abiotic controls in the decomposition of standing and soil surface litter in a semi-arid steppe'

description: Data of litter decomposition field experiment. The meaning and units of variables can be found in the readme file
DOI: 10.6073/pasta/18aefe65cfd7a228456611f62f01f189
title: Prospect Hill Hydrological Stations at Harvard Forest since 2005

description: To better understand the critical role of headwater streams and wetlands in our forest ecosystem, long-term measurements were initiated in 2005 on two small watersheds in the Prospect Hill Tract of the Harvard Forest. On Nelson Brook, weirs were installed on outlet streams of an 11-ha spruce-hemlock wetland (watershed area = 44 ha). On Bigelow Brook, pipes were installed to measure flow above (watershed = 24 ha) and below (watershed = 65 ha) a 3-ha shrub-dominated beaver swamp. The gaged watersheds, though adjacent and comparable in size, differ significantly in topography, soils, wetlands, stream chemistry, stream biota, land-use history, and forest vegetation, and provide an extraordinary opportunity to study the impacts of these factors on small watershed hydrology and ecology. Weekly manual measurements were initiated in April 2005. Continuous automated measurements were initiated in December 2007. Data for the current month are available online, updated every 15 minutes, with out-of-range values replaced by NA but values not otherwise checked. Earlier data are checked and archived with missing, questionable, and estimated values flagged, following methods of the LTER ClimbDB project. A log of events affecting station measurements is also posted. For current data, please see: https://harvardforest.fas.harvard.edu/meteorological-hydrological-stations. For a complete set of archived data, please see: https://harvardforest.fas.harvard.edu/exist/apps/datasets/showData.html?id=HF070.
DOI: 10.6084/m9.figshare.24722286
title: DATASET OF 'Roles of oceanic ventilation and terrestrial outflow in the atmospheric non-methane hydrocarbons over the Chinese marginal seas'

description: DATASET OF 'Roles of oceanic ventilation and terrestrial outflow in the atmospheric non-methane hydrocarbons over the Chinese marginal seas'
DOI: 10.6084/m9.figshare.24722286.v1
title: DATASET OF 'Roles of oceanic ventilation and terrestrial outflow in the atmospheric non-methane hydrocarbons over the Chinese marginal seas'

description: DATASET OF 'Roles of oceanic ventilation and terrestrial outflow in the atmospheric non-methane hydrocarbons over the Chinese marginal seas'
DOI: 10.5281/zenodo.10253212
title: SPLEEN - High Speed Turbine Cascade – Test Case Database - PIV Measurements

description: This is an open-access database of Particle Image Velocimetry (PIV) measurements of the flow in the high-speed low-pressure turbine cascade SPLEEN C1. 
This database complements aerodynamics measurements reported in the database "SPLEEN - High Speed Turbine Cascade – Test Case Database" which can be found at 10.5281/zenodo.7264761.  
The data have been collected at the von Karman Institute for Fluid Dynamics during 2022 within the H2020 Clean Sky 2 project SPLEEN – Secondary and Leakage Flow Effects in High-Speed Low-Pressure Turbines.
This database contains documents that describe the experimental setup, instrumentation, measurement uncertainties, geometries, and the dataset structure related to the SPLEEN C1 PIV measurements.
The database contains experimental data of the test campaign conducted on the linear cascade codenamed SPLEEN C1 in the VKI high-speed wind tunnel S1/C.
PIV measurements were performed on the upstream blade-to-blade plane at cascade midspan, passage blade-to-blade plane at cascade midspan, and on a cascade outlet axial plane located 50% of the airfoil axial chord downstream the cascade trailing edge, near the cascade endwall (0-18% of the cascade span).
The turbine cascade geometry is representative of designs of high-speed low-pressure turbines for next-generation geared turbofan engines.
The measurement datasets describe the flow through the turbine cascade tested at on- and off-design conditions (cascade exit Reynolds and Mach numbers), with and without a turbulence grid located upstream of the cascade. The database includes measurements of flow velocity, flow angles, Mach numbers, and turbulence quantities.
The PIV measurements were performed on the SPLEEN C1 turbine cascade equipped WITH a REFERENCE CAVITY ENDWALL (Cavity Aref), WITHOUT WAKE GENERATOR (steady inlet flow), WITH and WITHOUT TURBULENCE GRID (different inlet turbulence level).
The project has received Funding from the Clean Sky 2 Joint Undertaking under the European Union's Horizon 2020 research and innovation program under the grant agreement 820883.
description: Version 2 contains a MAJOR update that corrects wrong datasets for cascade inlet flow measurements. 
The documentation in the database has been updated with minor changes. 
 
Updates in version 2:
 
Corrected wrong datasets in folder ..\SPLEENC1_CARNP_WGOFF_PIV\B2Bpsg\ of the 1st version of this database. The affected datasets are:
- SPLEEN_C1_CAR_St000_Re70_M090_P000_wTG_B2Bpsg.mat
- SPLEEN_C1_CAR_St000_Re120_M070_P000_wTG_B2Bpsg.mat
- SPLEEN_C1_CAR_St000_Re120_M090_P000_wTG_B2Bpsg.mat
 
The version of all datasets is now updated to version 2. PLEASE use only datasets in version 2 or higher.  
Datasets in the database SPLEEN_HighSpeedTurbineCascade_Database_PIV_v1 should not be considered.
DOI: 10.5281/zenodo.10253213
title: SPLEEN - High Speed Turbine Cascade – Test Case Database - PIV Measurements

description: This is an open-access database of Particle Image Velocimetry (PIV) measurements of the flow in the high-speed low-pressure turbine cascade SPLEEN C1. 
This database complements aerodynamics measurements reported in the database "SPLEEN - High Speed Turbine Cascade – Test Case Database" which can be found at 10.5281/zenodo.7264761.  
The data have been collected at the von Karman Institute for Fluid Dynamics during 2022 within the H2020 Clean Sky 2 project SPLEEN – Secondary and Leakage Flow Effects in High-Speed Low-Pressure Turbines.
This database contains documents that describe the experimental setup, instrumentation, measurement uncertainties, geometries, and the dataset structure related to the SPLEEN C1 PIV measurements.
The database contains experimental data of the test campaign conducted on the linear cascade codenamed SPLEEN C1 in the VKI high-speed wind tunnel S1/C.
PIV measurements were performed on the upstream blade-to-blade plane at cascade midspan, passage blade-to-blade plane at cascade midspan, and on a cascade outlet axial plane located 50% of the airfoil axial chord downstream the cascade trailing edge, near the cascade endwall (0-18% of the cascade span).
The turbine cascade geometry is representative of designs of high-speed low-pressure turbines for next-generation geared turbofan engines.
The measurement datasets describe the flow through the turbine cascade tested at on- and off-design conditions (cascade exit Reynolds and Mach numbers), with and without a turbulence grid located upstream of the cascade. The database includes measurements of flow velocity, flow angles, Mach numbers, and turbulence quantities.
The PIV measurements were performed on the SPLEEN C1 turbine cascade equipped WITH a REFERENCE CAVITY ENDWALL (Cavity Aref), WITHOUT WAKE GENERATOR (steady inlet flow), WITH and WITHOUT TURBULENCE GRID (different inlet turbulence level).
The project has received Funding from the Clean Sky 2 Joint Undertaking under the European Union's Horizon 2020 research and innovation program under the grant agreement 820883.
DOI: 10.5281/zenodo.10256759
title: SPLEEN - High Speed Turbine Cascade – Test Case Database - PIV Measurements

description: This is an open-access database of Particle Image Velocimetry (PIV) measurements of the flow in the high-speed low-pressure turbine cascade SPLEEN C1. 
This database complements aerodynamics measurements reported in the database "SPLEEN - High Speed Turbine Cascade – Test Case Database" which can be found at 10.5281/zenodo.7264761.  
The data have been collected at the von Karman Institute for Fluid Dynamics during 2022 within the H2020 Clean Sky 2 project SPLEEN – Secondary and Leakage Flow Effects in High-Speed Low-Pressure Turbines.
This database contains documents that describe the experimental setup, instrumentation, measurement uncertainties, geometries, and the dataset structure related to the SPLEEN C1 PIV measurements.
The database contains experimental data of the test campaign conducted on the linear cascade codenamed SPLEEN C1 in the VKI high-speed wind tunnel S1/C.
PIV measurements were performed on the upstream blade-to-blade plane at cascade midspan, passage blade-to-blade plane at cascade midspan, and on a cascade outlet axial plane located 50% of the airfoil axial chord downstream the cascade trailing edge, near the cascade endwall (0-18% of the cascade span).
The turbine cascade geometry is representative of designs of high-speed low-pressure turbines for next-generation geared turbofan engines.
The measurement datasets describe the flow through the turbine cascade tested at on- and off-design conditions (cascade exit Reynolds and Mach numbers), with and without a turbulence grid located upstream of the cascade. The database includes measurements of flow velocity, flow angles, Mach numbers, and turbulence quantities.
The PIV measurements were performed on the SPLEEN C1 turbine cascade equipped WITH a REFERENCE CAVITY ENDWALL (Cavity Aref), WITHOUT WAKE GENERATOR (steady inlet flow), WITH and WITHOUT TURBULENCE GRID (different inlet turbulence level).
The project has received Funding from the Clean Sky 2 Joint Undertaking under the European Union's Horizon 2020 research and innovation program under the grant agreement 820883.
description: Version 2 contains a MAJOR update that corrects wrong datasets for cascade inlet flow measurements. 
The documentation in the database has been updated with minor changes. 
 
Updates in version 2:
 
Corrected wrong datasets in folder ..\SPLEENC1_CARNP_WGOFF_PIV\B2Bpsg\ of the 1st version of this database. The affected datasets are:
- SPLEEN_C1_CAR_St000_Re70_M090_P000_wTG_B2Bpsg.mat
- SPLEEN_C1_CAR_St000_Re120_M070_P000_wTG_B2Bpsg.mat
- SPLEEN_C1_CAR_St000_Re120_M090_P000_wTG_B2Bpsg.mat
 
The version of all datasets is now updated to version 2. PLEASE use only datasets in version 2 or higher.  
Datasets in the database SPLEEN_HighSpeedTurbineCascade_Database_PIV_v1 should not be considered.