cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6330024
title: Poland's youth saving for retirement in the perspective of behavioral life cycle and population aging

description: The data were collected in December 2020 among young people aged 18-29 all over Poland. The group of young people was divided into the younger ones (18-24 years old) and the older ones (25-29 years old) to identify the differences between youth behavior considering their life-cycle phase. A group of people ages 50-60 years old was taken to enable an intergeneration comparison. The group was randomly drawn for the research using a stratified random sampling scheme, covering such socio-economic and demographical factors as age, region, gender, education, income, etc.
DOI: 10.5281/zenodo.7649084
title: Poland's youth saving for retirement in the perspective of behavioral life cycle and population aging

description: The data were collected in December 2020 among young people aged 18-29 all over Poland. The group of young people was divided into the younger ones (18-24 years old) and the older ones (25-29 years old) to identify the differences between youth behavior considering their life-cycle phase. A group of people ages 50-60 years old was taken to enable an intergeneration comparison. The group was randomly drawn for the research using a stratified random sampling scheme, covering such socio-economic and demographical factors as age, region, gender, education, income, etc.
DOI: 10.5281/zenodo.7648984
title: Tree species Waititu (New Zealand) UAV imagery and reference data (raw)

description: This dataset includes drone (Uncrewed Aerial Vehicles, UAV) orthomosaics of three plots (each plot covers approx. 100 by 100 m) acquired in November 2017 in Waititu (Fjordland) New Zealand. The resolution (ground sampling distance) of the orthomosaics amounts to approx. 2-3 cm. The orthomosaics feature RGB information and an estimated canopy height (normalized digital surface model, nDSM). The canopy height was derived by subtracting digital surface models (DSM) with digital terrain models (DTM). The DTMs were estimated from the lowest points. Details are given in the publication below. The orthomosaics are partially labelled (polygon shapefiles) for the two tree species, which are <em>Metrosideros umbellata</em>, an angiosperm of the Myrtaceae and <em>Dacrydium cupressinum,</em> a gymnosperm of the Podocarpaceae. The two species are abbreviated as <em>metumb </em>and <em>daccup</em>, respectively. The covered forests are primary forests with a high species richness and endemism. Each orthomosaic comes with an AOI (area of interest, polygon shapefile) that indicates the areas where the labelling was performed. Within the extent of this AOI the two tree species are assumed to be completely delineated (by visual interpretation guided with insitu data; details see publication below). For visual inspection of the imagery we recommend to generate image pyramids since the image data has a very high spatial resolution. Details on the dataset are mentioned in the corresponding publication: Kattenborn, T., Eichel, J., Wiser, S., Burrows, L., Fassnacht, F. E., & Schmidtlein, S. (2020). Convolutional Neural Networks accurately predict cover fractions of plant species and communities in Unmanned Aerial Vehicle imagery. <em>Remote Sensing in Ecology and Conservation</em>, <em>6</em>(4), 472-486. https://doi.org/10.1002/rse2.146 https://zslpublications.onlinelibrary.wiley.com/doi/full/10.1002/rse2.146 Acknowledgements: The data acquisition was funded by the Catalyst: Leaders program financed by the New Zealand Ministry of Business, Innovation and Employment (MBIE) and administered by the Royal Society of New Zealand and the MBIE Strategic Science Investment Fund to Manaaki Whenua-Landcare Research
DOI: 10.5281/zenodo.7648983
title: Tree species Waititu (New Zealand) UAV imagery and reference data (raw)

description: This dataset includes drone (Uncrewed Aerial Vehicles, UAV) orthomosaics of three plots (each plot covers approx. 100 by 100 m) acquired in November 2017 in Waititu (Fjordland) New Zealand. The resolution (ground sampling distance) of the orthomosaics amounts to approx. 2-3 cm. The orthomosaics feature RGB information and an estimated canopy height (normalized digital surface model, nDSM). The canopy height was derived by subtracting digital surface models (DSM) with digital terrain models (DTM). The DTMs were estimated from the lowest points. Details are given in the publication below. The orthomosaics are partially labelled (polygon shapefiles) for the two tree species, which are <em>Metrosideros umbellata</em>, an angiosperm of the Myrtaceae and <em>Dacrydium cupressinum,</em> a gymnosperm of the Podocarpaceae. The two species are abbreviated as <em>metumb </em>and <em>daccup</em>, respectively. The covered forests are primary forests with a high species richness and endemism. Each orthomosaic comes with an AOI (area of interest, polygon shapefile) that indicates the areas where the labelling was performed. Within the extent of this AOI the two tree species are assumed to be completely delineated (by visual interpretation guided with insitu data; details see publication below). For visual inspection of the imagery we recommend to generate image pyramids since the image data has a very high spatial resolution. Details on the dataset are mentioned in the corresponding publication: Kattenborn, T., Eichel, J., Wiser, S., Burrows, L., Fassnacht, F. E., & Schmidtlein, S. (2020). Convolutional Neural Networks accurately predict cover fractions of plant species and communities in Unmanned Aerial Vehicle imagery. <em>Remote Sensing in Ecology and Conservation</em>, <em>6</em>(4), 472-486. https://doi.org/10.1002/rse2.146 https://zslpublications.onlinelibrary.wiley.com/doi/full/10.1002/rse2.146 Acknowledgements: The data acquisition was funded by the Catalyst: Leaders program financed by the New Zealand Ministry of Business, Innovation and Employment (MBIE) and administered by the Royal Society of New Zealand and the MBIE Strategic Science Investment Fund to Manaaki Whenua-Landcare Research
DOI: 10.5281/zenodo.7646370
title: GrayC: Greybox Fuzzing of Compilers and Analysers for C

description: This contains the data and the tool to run the experiments and process the data. Anon. Bug Reports are in file GrayC-Artefact.zip Comparison with other fuzzers data in file AE-data.zip GrayC and EnhanCer code in file GrayC-Artefact.zip
DOI: 10.15129/d197dd97-721b-4afe-b241-218ece8af3e6
title: Data for: "Optimisation and control of synchrotron emission in ultraintense laser-solid interactions using machine learning"

description: This data corresponds to the simulation results reported in the publication "Optimisation and control of synchrotron emission in ultraintense laser-solid interactions using machine learning". Simulation data was generated by running EPOCH version 4.18 with the input.deck files included.
DOI: 10.11583/dtu.20237436
title: Total Basin Run Off (ESA POLAR+ 4D Greenland Experimental Dataset)

description: The total monthly runoff (2014-2021), both surface and basal, of five drainage basins in Greenland; NEGIS, Northern Lakes, Southern Lakes, Store, and Watson. The run off is estimated by summing the Surface Melt, Firn Retention, Supraglacial Change and Subglacial Runoff into monthly basin scale estimates.<br> 1. Surface water was computed from the chosen RCM on a monthly basis by summing the surface melt and the liquid precipitation (rain fall).<br> 2. Firn Retention is computed by subtracting the RCM runoff from the RCM surface melt in the snow/firn-covered part of the drainage basins<br> 3. Supraglacial change volume estimates were determined via the following methodology by Lancaster University.<br> Supraglacial lake extent were delineated using RT algorithm to classify water within S2 images. Lake depths were calculated using a radiative transfer model (section 2.2.6.1 ATBD). Lake depth was determined using Sentinel 2 red band imagery (Band 4). Total lake volume was calculated by multiplying lake depths by lake area for each individual lake polygon and summing over the basin area.<br> Volume uncertainty was determined via comparison with ICESat-2 transects. The uncertainty is represented by the maximum percentage difference between lake depths integrated over ICESat-2 transects and the corresponding S2 derived lake depth transect. For the red band, it was found that lake volumes were being underestimated by up to 33.5%.<br> Some of the meltwater in the supraglacial lakes will not leave the ice sheet at the end of the melt season but remain frozen over the winter. It is very difficult to estimate how much. In this experimental dataset we assume that it is 25% of the observed September water volume that is frozen and stored during winter.<br> 4. Subglacial meltwater flux maps were computed Greenland-wide, and integrated over the drainage basins of interest to produce monthly estimates of basal runoff.<br> Please read the README_TotalRunOff.txt
DOI: 10.11583/dtu.20237436.v3
title: Total Basin Run Off (ESA POLAR+ 4D Greenland Experimental Dataset)

description: The total monthly runoff (2014-2021), both surface and basal, of five drainage basins in Greenland; NEGIS, Northern Lakes, Southern Lakes, Store, and Watson. The run off is estimated by summing the Surface Melt, Firn Retention, Supraglacial Change and Subglacial Runoff into monthly basin scale estimates.<br> 1. Surface water was computed from the chosen RCM on a monthly basis by summing the surface melt and the liquid precipitation (rain fall).<br> 2. Firn Retention is computed by subtracting the RCM runoff from the RCM surface melt in the snow/firn-covered part of the drainage basins<br> 3. Supraglacial change volume estimates were determined via the following methodology by Lancaster University.<br> Supraglacial lake extent were delineated using RT algorithm to classify water within S2 images. Lake depths were calculated using a radiative transfer model (section 2.2.6.1 ATBD). Lake depth was determined using Sentinel 2 red band imagery (Band 4). Total lake volume was calculated by multiplying lake depths by lake area for each individual lake polygon and summing over the basin area.<br> Volume uncertainty was determined via comparison with ICESat-2 transects. The uncertainty is represented by the maximum percentage difference between lake depths integrated over ICESat-2 transects and the corresponding S2 derived lake depth transect. For the red band, it was found that lake volumes were being underestimated by up to 33.5%.<br> Some of the meltwater in the supraglacial lakes will not leave the ice sheet at the end of the melt season but remain frozen over the winter. It is very difficult to estimate how much. In this experimental dataset we assume that it is 25% of the observed September water volume that is frozen and stored during winter.<br> 4. Subglacial meltwater flux maps were computed Greenland-wide, and integrated over the drainage basins of interest to produce monthly estimates of basal runoff.<br> Please read the README_TotalRunOff.txt
DOI: 10.5281/zenodo.5075861
title: Sea-Ice Data Content Representation Based on Latent Dirichlet Allocation for Belgica Bank in Greenland

description: <strong>Data description</strong> File type : -.npy (python numpy file) File content: Each file is a numpy array of size (number of 256x256 patches, 4096) indexed by id of the patch (each scene contains 6,400 patches, each patch has 4,096 micropatches of size 4x4, assigned one topic [1] per micropatch, resulting in 4,096 topics per patch). Each file has 4 months of observation. Array size is 25600 x 4096. We provide 6 files containing 24 months of observation (see the excel file for the Sentinel-1 ids) [2]. Software to open with: Python Example code: import numpy Data= numpy.load(“filename_with_path”) Reference: 1. C. Karmakar, C.O. Dumitru, G. Schwarz, and M. Datcu, “<em>Feature-Free Explainable Data Mining in SAR Images Using Latent Dirichlet Allocation</em>”, IEEE JSTARS, vol. 14, pp. 676-689, 2021.
DOI: 10.5281/zenodo.5075860
title: Sea-Ice Data Content Representation Based on Latent Dirichlet Allocation for Belgica Bank in Greenland

description: <strong>Data description</strong> File type : -.npy (python numpy file) File content: Each file is a numpy array of size (number of 256x256 patches, 4096) indexed by id of the patch (each scene contains 6,400 patches, each patch has 4,096 micropatches of size 4x4, assigned one topic [1] per micropatch, resulting in 4,096 topics per patch). Each file has 4 months of observation. Array size is 25600 x 4096. We provide 6 files containing 24 months of observation (see the excel file for the Sentinel-1 ids) [2]. Software to open with: Python Example code: import numpy Data= numpy.load(“filename_with_path”) Reference: 1. C. Karmakar, C.O. Dumitru, G. Schwarz, and M. Datcu, “<em>Feature-Free Explainable Data Mining in SAR Images Using Latent Dirichlet Allocation</em>”, IEEE JSTARS, vol. 14, pp. 676-689, 2021.
DOI: 10.25550/2p-k8we
title: Molecular characterisation of the vestibular lamina

description: The Vestibular lamina (VL) is a transient epithelial structure that develops into the oral vestibule, forming the upper and lower lip furrow. The VL shares a common origin with the neighbouring dental lamina (DL), from which the dentition arises. The two laminas develop in parallel, the VL forming labially/buccally to the DL. In a number of mouse mutants impacting the Wnt and Shh pathways, the VL forms tooth germs, highlighting the early conserved development of the two laminas. Defects in the VL and DL are a prominent feature of a number of ciliopathies, such as Ellis-van Creveld (EvC) syndrome, and form an essential part of the initial diagnosis. Despite this, the VL is largely ignored in odontogenetic studies, and currently we have limited knowledge on the molecular regulatory mechanisms of the VL during development. Here we provide a bulk RNASeq transcriptome of the VL and adjacent forming incisor tooth germ at E14, created from dissected murine lower jaw tissue. This dataset provides markers for the VL, and will help our understanding of the patterning of the VL, its interaction with the DL, and the mechanisms underlying pathogenesis of the VL, providing a base for further studies in the VL defects in EvC syndrome and other ciliopathies.
DOI: 10.5281/zenodo.7649140
title: The Effects of Native Language on Requirements Quality - Additional Material

description: Interview Questions, Code Book and original unpublished thesis report associated with paper "The Effects of Native Language on Requirements Quality"
DOI: 10.5281/zenodo.7649139
title: The Effects of Native Language on Requirements Quality - Additional Material

description: Interview Questions, Code Book and original unpublished thesis report associated with paper "The Effects of Native Language on Requirements Quality"
DOI: 10.23670/irj.2023.128.76.1
title: Существующие точки зрения на категорию «туристско-рекреационный кластер» в современных публикациях ученых

description: Международный научно-исследовательский журнал, Выпуск 2 (128) 2023
DOI: 10.23670/irj.2023.128.77.1
title: Исследовательские подходы к феномену «корпусная лингвистика»

description: Международный научно-исследовательский журнал, Выпуск 2 (128) 2023
DOI: 10.23670/irj.2023.128.62.1
title: Клинические и биохимические показатели крови поросят до лечения

description: Международный научно-исследовательский журнал, Выпуск 2 (128) 2023
DOI: 10.23670/irj.2023.128.59.1
title: Охраняемые природные территории Мурманской области

description: Международный научно-исследовательский журнал, Выпуск 2 (128) 2023
DOI: 10.23670/irj.2023.128.61.1
title: Гидрографические параметры рек ХМАО–Югры

description: Международный научно-исследовательский журнал, Выпуск 2 (128) 2023
DOI: 10.23670/irj.2023.128.40.1
title: Длительность анамнеза диабета с зависимости от терапии

description: Международный научно-исследовательский журнал, Выпуск 2 (128) 2023
DOI: 10.23670/irj.2023.128.42.1
title: Станции отбора гидробиологических проб

description: Международный научно-исследовательский журнал, Выпуск 2 (128) 2023
DOI: 10.23670/irj.2023.128.30.1
title: Возрастные группы осмотренных детей

description: Международный научно-исследовательский журнал, Выпуск 2 (128) 2023
DOI: 10.23670/irj.2023.128.29.1
title: Влияние предшественников на полевую всхожесть и выживаемость растений озимой пшеницы

description: Международный научно-исследовательский журнал, Выпуск 2 (128) 2023
DOI: 10.6084/m9.figshare.21820764
title: Hydrochemical and isotopic data of the La Pletera salt marsh area

description: Hydrochemical and isotopic data from the La Pletera lagoons, the alluvial aquifer, the Ter River, the Ter Vell channel, and the Mediterranean sea, from 2014 to 2018.
DOI: 10.5281/zenodo.7649167
title: Polarization dataset - Reflection, emission, and polarization properties of surfaces made of hyperfine grains, and implications for the nature of primitive small bodies

description: This data are relative to the polarization measurements of the paper "Reflection, emission, and polarization properties of surfaces made of hyperfine grains, and implications for the nature of primitive small bodies" The dataset consists in 8 .txt files that represent the polarization measurements of mixtures of FeS and Olivine (ol) with different mass ratios. In the name of each file it is specified the mass percentage of the two components respect with the total mass of the sample (eg. data_ol_FeS_10-90_530.txt is the sample composed by 10% olivine and 90% FeS, measured at 530 nm). In each file, the data are organized in the following columns: #phase_angles[°] #Q/I #U/I #V/I #DOLP #DC #delta_Q/I #delta_U/I #delta_V/I #delta_DOLP #delta_dc "delta" refers to the standard deviation of the measurement upon rotation of the sample on the azimuthal axis. <br>
DOI: 10.23670/irj.2023.128.82.1
title: Весоростовые показатели и значения индекса массы тела (ИМТ) мальчиков 5–6 лет

description: Международный научно-исследовательский журнал, Выпуск 2 (128) 2023
DOI: 10.5281/zenodo.5494396
title: Multi-Omic Approach Associates Blood Methylome with Bronchodilator Drug Response in Pediatric Asthma: Summary statistics

description: We conducted an epigenome-wide association study of bronchodilator drug response (BDR) in a discovery and validation design. The discovery phase was focused on 221 African American children with asthma. The association between DNA methylation and BDR was conducted using the limma package correcting for age, sex, ancestry, and tissue heterogeneity. Summary statistics include the output from toptable limma function and CpG annotation (based on Illumina EPIC Manifest file v 1.0 B4) organized in the following columns: Probe: Probe ID Chr: chromosome Pos: genomic position based on GRCh37/hg19 Gene: Gene annotation based on Illumina EPIC Manifest file v 1.0 B4 logFC: estimate of the log2-fold-change corresponding to the effect or contrast SE: standard error AveExpr: average log2-expression for the probe over all arrays and channels t: moderated t-statistic P.value: raw p-value FDR: adjusted p-value by false discovery rate B: log-odds that the gene is differentially expressed Problem: Flagged potentially problematic probes
DOI: 10.23670/irj.2023.128.76.2
title: Существующие точки зрения на категорию «туристско-рекреационный кластер» в современных публикациях ученых

description: Международный научно-исследовательский журнал, Выпуск 2 (128) 2023
DOI: 10.5281/zenodo.7649166
title: Polarization dataset - Reflection, emission, and polarization properties of surfaces made of hyperfine grains, and implications for the nature of primitive small bodies

description: This data are relative to the polarization measurements of the paper "Reflection, emission, and polarization properties of surfaces made of hyperfine grains, and implications for the nature of primitive small bodies" The dataset consists in 8 .txt files that represent the polarization measurements of mixtures of FeS and Olivine (ol) with different mass ratios. In the name of each file it is specified the mass percentage of the two components respect with the total mass of the sample (eg. data_ol_FeS_10-90_530.txt is the sample composed by 10% olivine and 90% FeS, measured at 530 nm). In each file, the data are organized in the following columns: #phase_angles[°] #Q/I #U/I #V/I #DOLP #DC #delta_Q/I #delta_U/I #delta_V/I #delta_DOLP #delta_dc "delta" refers to the standard deviation of the measurement upon rotation of the sample on the azimuthal axis. <br>
DOI: 10.23670/irj.2023.128.82.2
title: Межгрупповое сравнение весоростовых показателей и значения индекса массы тела (ИМТ) в опытных группах

description: Международный научно-исследовательский журнал, Выпуск 2 (128) 2023
DOI: 10.5281/zenodo.5494395
title: Multi-Omic Approach Associates Blood Methylome with Bronchodilator Drug Response in Pediatric Asthma: Summary statistics

description: We conducted an epigenome-wide association study of bronchodilator drug response (BDR) in a discovery and validation design. The discovery phase was focused on 221 African American children with asthma. The association between DNA methylation and BDR was conducted using the limma package correcting for age, sex, ancestry, and tissue heterogeneity. Summary statistics include the output from toptable limma function and CpG annotation (based on Illumina EPIC Manifest file v 1.0 B4) organized in the following columns: Probe: Probe ID Chr: chromosome Pos: genomic position based on GRCh37/hg19 Gene: Gene annotation based on Illumina EPIC Manifest file v 1.0 B4 logFC: estimate of the log2-fold-change corresponding to the effect or contrast SE: standard error AveExpr: average log2-expression for the probe over all arrays and channels t: moderated t-statistic P.value: raw p-value FDR: adjusted p-value by false discovery rate B: log-odds that the gene is differentially expressed Problem: Flagged potentially problematic probes
DOI: 10.23670/irj.2023.128.74.3
title: Результаты оценки параметров канцерогенного риска здоровью населения, проживающего в зоне загрязнения ракетным топливом

description: Международный научно-исследовательский журнал, Выпуск 2 (128) 2023
DOI: 10.23670/irj.2023.128.77.2
title: Исследовательские подходы к феномену «корпусная лингвистика»

description: Международный научно-исследовательский журнал, Выпуск 2 (128) 2023
DOI: 10.23670/irj.2023.128.66.1
title: Результаты многофакторного дисперсионного анализа за 2017-2020 гг

description: Международный научно-исследовательский журнал, Выпуск 2 (128) 2023
DOI: 10.17876/plate/dr.4/plates/208_86341
title: Digital object identifier (DOI) for the plate 86341 in archive 208 from the APPLAUSE DR4
DOI: 10.17876/plate/dr.4/plates/208_86342
title: Digital object identifier (DOI) for the plate 86342 in archive 208 from the APPLAUSE DR4
DOI: 10.17876/plate/dr.4/plates/208_86343
title: Digital object identifier (DOI) for the plate 86343 in archive 208 from the APPLAUSE DR4
DOI: 10.17876/plate/dr.4/plates/208_86344
title: Digital object identifier (DOI) for the plate 86344 in archive 208 from the APPLAUSE DR4
DOI: 10.17876/plate/dr.4/plates/208_86345
title: Digital object identifier (DOI) for the plate 86345 in archive 208 from the APPLAUSE DR4
DOI: 10.17876/plate/dr.4/plates/208_86346
title: Digital object identifier (DOI) for the plate 86346 in archive 208 from the APPLAUSE DR4
DOI: 10.17876/plate/dr.4/plates/208_86347
title: Digital object identifier (DOI) for the plate 86347 in archive 208 from the APPLAUSE DR4
DOI: 10.17876/plate/dr.4/plates/208_86348
title: Digital object identifier (DOI) for the plate 86348 in archive 208 from the APPLAUSE DR4
DOI: 10.17876/plate/dr.4/plates/208_86349
title: Digital object identifier (DOI) for the plate 86349 in archive 208 from the APPLAUSE DR4
DOI: 10.17876/plate/dr.4/plates/208_86350
title: Digital object identifier (DOI) for the plate 86350 in archive 208 from the APPLAUSE DR4
DOI: 10.17876/plate/dr.4/plates/208_86351
title: Digital object identifier (DOI) for the plate 86351 in archive 208 from the APPLAUSE DR4
DOI: 10.17876/plate/dr.4/plates/208_86352
title: Digital object identifier (DOI) for the plate 86352 in archive 208 from the APPLAUSE DR4