cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.16963897
title: Senior et al. Ecosphere.xlsx

description: This data set contains mean tree diameter at breast height and litter condensed tannin concentrations as well as a wide range of soil chemical and biological data collected from plots of 10 full-sibling <i>Picea abies </i>families within a long-established common garden experiment at Sävar, Sweden.<br>Full details can be found in 'Senior et al. Progeny selection for enhanced forest growth alters soil communities and processes. Ecosphere'
DOI: 10.18112/openneuro.ds003873.v1.0.0
title: Somatosensory evoked potentials in the human spinal cord to mixed nerve stimulation
DOI: 10.17632/r8w23dmvxk.2
title: Chalk cliff retreat lines East Sussex (1624, 1764), 1870s, 1973, 1999, 2020

description: Cliff lines digitised from rectified historic maps (1870s and earlier) and for 1973, 1999 and 2020 from ortho-rectified aerial photography.
DOI: 10.17632/p9hwfmfcz5.2
title: The data of HEXACO personality traits and job search outcomes

description: This data explores the relationship between HEXACO personality traits and job search outcomes through network size, tie strength, and job search networking behavior. The data was collected from three universities in North Vietnam. At Time 1, 850 of 982 respondents participated in the questionnaire; at Time 2, 773 of these students responded to the second questionnaire. As a result, we obtained 773 complete responses, a response rate of 91%. The mean age of participants was 23.22 years (SD = 0.523). There was only 3.6% of married respondents. The percentage of respondents in study areas consisted of 28% of engineering, 26% of accounting, 23% of business administration, 18% of finance, and 5% of other areas
DOI: 10.17632/pwfxgzz5fj.1
title: A dataset of stem bark reflectance spectra for boreal and temperate tree species

description: The dataset includes stem bark reflectance spectra of ten boreal and temperate tree species. The data were measured using a Specim IQ imaging spectrometer that operates in the visible and near-infrared wavelength region (400–1000 nm). Measurements were made in the Greater Helsinki area in Finland, and in Järvselja in Estonia. The average reflectance spectrum for each of the ten common boreal and temperate tree species was calculated from 20 samples per species. The sampled species were: Scots pine (Pinus sylvestris L.), Norway spruce (Picea abies (L.) Karst), silver birch (Betula pendula Roth), grey alder (Alnus incana (L.) Moench), black alder (Alnus glutinosa (L.) Gaertn.), English oak (Quercus robur L.), European aspen (Populus tremula L.), European ash (Fraxinus excelsior L.), Norway maple (Acer platanoides L.), and littleleaf linden (Tilia cordata Mill.).
DOI: 10.17632/4txsjzc8vn.2
title: Personality Traits as Factors in the Self-Development of the Staff of the State Employment Service of Ukraine

description: "Personality Traits as Factors in the Self-Development of the Staff of the State Employment Service of Ukraine". - Qualifying scientific work on the rights of the manuscript.
The dissertation on competition of a scientific degree of the doctor of philosophy in the field of 053 «Psychology» (05 Social and behavioral sciences). – Taras Shevchenko National University of Kyiv. Kyiv, 2020.
The actuality of the dissertation research is to improve and develop a model of psychological support for personal and professional development of employees of the State Employment Service of Ukraine (SESU), due to the problem of forming a personnel reserve in public sector of Ukraine.
The object of the research is professional self-development of employees of the State Employment Service.
The subject of the research is the personal factors of self-development of employees of the SESU.
The purpose of the study is to develop and test a program of psychological support for self-development of employees of the SESU, based on identifying in the context of continuing education factors of their personal growth.
The developed program of psychological support of personal and professional growth of the personnel reserve of SESU provides the development of personality orientation on self-development and development of individual-professional skills (soft skills) with the help of acmeological and competence approaches.
It should be noted that the level of reliability of the results is confirmed by the use of adequate methods in the research process:
a) theoretical - analysis, generalization, interpretation of scientific sources on the phenomena of personal development, professional growth, motivational factors of self-development;
b) empirical: for the study of individual differences and the level of self-actualization of employees of SESU - Test "Big Five" (5PFQ), and Self-actualization test - SAT; for the diagnosis of intrapersonal emotional intelligence of the individual - Test for Emotional Self-Awareness; To establish the motives of employees - Test for the diagnosis of motivation to achieve  by A. Mehrabian and Test "Readiness for self-development" by V. Pavlov.
Determination of personal development factors was performed using two-way Pearson correlation analysis, chi-square test and linear multiple regression analysis. Checking the effectiveness of the psychological support program - using the criterion G - signs and the t-Student's test for dependent samples. All mathematical operations were performed by using the computer program IBM SPSS Statistics (version 20.0).
The main results of the research have been introduced into the program of advanced training of the personnel reserve of the SESU in the IPC of the SESU at the Department of Psychology and Social Work of the IPT of the SESU from 01.09.2018 to 31.12.2018.
DOI: 10.17632/r8b5mcrj6j.1
title: Supplementary Material: Use of fast realistic simulations on GPU to extract CAD models from microtomographic data in the presence of strong CT artefacts

description: Supporting material for our paper published by Elsevier in Precision Engineering, see https://doi.org/10.1016/j.precisioneng.2021.10.014 for the paper

To run our code, you must install:

1. Python
2. A C++ compiler with CMake
3. gVirtualXRay (code provided)

Python dependencies:
1. numpy
2. pandas
3. imageio
4. scikit-image
5. sklearn
6. scipy
7. SimpleITK
8. OpenCV
9. cma
10. tifffile import
11. tigre/tomopy (optional)

Contents

1. code:
 -  gVirtualXRay-1.1.5-Source.zip: Source code of gVirtualXRay
 - tutorial.py: the Python code of the registration pipeline in 2D
 - lsf.py: Detector response
 - utils.py: needed by pseudo3d.py
 - pseudo3d.py: Pseudo 3D registration 
2. data: contains the input sinograms
 - proj-33keV.tif: projections after flatfield correction. Projections are of 1024 pixels. Pixel spacing: 1.9um. 900 angles over 180 degrees. Primary energy : 33 keV. Source-object distance: 145m. Object-detector distance: 80mm.
 - proj-0000-80keV.tif: projections of the first slice after flatfield correction. Projections are of 2702 pixels. Pixel spacing: 1.22um. 1750 angles over 360 degrees. Primary energy: 80 keV.  Source-object distance: 92m. Object-detector distance: 270mm.
 - proj-1023-80keV.tif: projections of the last slice after flatfield correction. 
3. Jupyter_Notebooks: contains our tutorial and some videos
 - From_CT_acquisition_to_CAD_models.ipynb: Jupyter Notebook in Python
 - From_CT_acquisition_to_CAD_models.pdf: Jupyter Notebook as a PDF file
 - cube_registration.mp4: successive best results during the optimisation of the matrix properties
 - fibre1_registration.mp4: successive best results during the optimisation of the fibre and core radii (before recentring)
 - fibre3_registration.mp4: successive best results during the optimisation of the fibre and core radii (after recentring)
 - spectrum_registration.mp4: successive best results during the optimisation of the beam spectrum
 - laplacian1_registration.mp4: successive best results during the optimisation of the phase contrast and of the fibre and core radii 
 - laplacian2_registration.mp4: successive best results during the optimisation of the phase contrast and the response of the detector
4. results: registered images
 - output33keV: 2D registration
 - output80keV: pseudo-3D registration
5. user_study:
 - online-form.pdf: the online form
 - responses.csv: answers from volunteers
6. visualisations: contains our interactive parallel coordinate plots and a video showing how to use them
 - how_to_use_visualisations.mp4: video showing how we used it to analyse the data
 - parallel_coordinates_all_data.html: interactive parallel coordinate plots of the fibre and core raii, and the linear attenuation coefficients of the cores, fibres and matrix
 - parallel_coordinates-ZNCC.htmll: interactive parallel coordinate plots of the successive ZNCC values during a registration
DOI: 10.17632/829g8pwg4s.3
title: Supplementary material for "Epidemiological association between alopecia areata and celiac disease: a meta-analysis"

description: Supplemental data for "Epidemiological association between alopecia areata and celiac disease: a meta-analysis"
Supplemental Table I. Database search strategy used for meta-analysis 
Supplemental Table II. Characteristics of the studies included in the meta-analysis
Supplemental Figure 1. Flow diagram of the included studies
Supplemental Figure 2. The Newcastle Ottawa Scale for each study included in the meta-analysis
DOI: 10.34740/kaggle/dsv/2792085
title: 2021 World Population (updated daily)
DOI: 10.5281/zenodo.5655301
title: Example Phase Contrast data acquired on a Philips scanner

description: Example of phase contrast (left and right) sequences acquired on a Philips scanner and their respective renal artery mask.
DOI: 10.17028/rd.lboro.16964458.v1
title: Supplementary information files for Quantifying the impact of heat on human physical work capacity; part II: the observed interaction of air velocity with temperature, humidity, sweat rate, and clothing is not captured by most heat stress indices

description: Supplementary files for article Quantifying the impact of heat on human physical work capacity; part II: the observed interaction of air velocity with temperature, humidity, sweat rate, and clothing is not captured by most heat stress indices.<br>Increasing air movement can alleviate or exacerbate occupational heat strain, but the impact is not well defined across a wide range of hot environments, with different clothing levels. Therefore, we combined a large empirical study with a physical model of human heat transfer to determine the climates where increased air movement (with electric fans) provides effective body cooling. The model allowed us to generate practical advice using a high-resolution matrix of temperature and humidity. The empirical study involved a total of 300 1-h work trials in a variety of environments (35, 40, 45, and 50 °C, with 20 up to 80% relative humidity) with and without simulated wind (3.5 vs 0.2 m∙s−1), and wearing either minimal clothing or a full body work coverall. Our data provides compelling evidence that the impact of fans is strongly determined by air temperature and humidity. When air temperature is ≥ 35 °C, fans are ineffective and potentially harmful when relative humidity is below 50%. Our simulated data also show the climates where high wind/fans are beneficial or harmful, considering heat acclimation, age, and wind speed. Using unified weather indices, the impact of air movement is well captured by the universal thermal climate index, but not by wet-bulb globe temperature and aspirated wet-bulb temperature. Overall, the data from this study can inform new guidance for major public and occupational health agencies, potentially maintaining health and productivity in a warming climate.<br><br>
DOI: 10.17028/rd.lboro.16964458
title: Supplementary information files for Quantifying the impact of heat on human physical work capacity; part II: the observed interaction of air velocity with temperature, humidity, sweat rate, and clothing is not captured by most heat stress indices

description: Supplementary files for article Quantifying the impact of heat on human physical work capacity; part II: the observed interaction of air velocity with temperature, humidity, sweat rate, and clothing is not captured by most heat stress indices.<br>Increasing air movement can alleviate or exacerbate occupational heat strain, but the impact is not well defined across a wide range of hot environments, with different clothing levels. Therefore, we combined a large empirical study with a physical model of human heat transfer to determine the climates where increased air movement (with electric fans) provides effective body cooling. The model allowed us to generate practical advice using a high-resolution matrix of temperature and humidity. The empirical study involved a total of 300 1-h work trials in a variety of environments (35, 40, 45, and 50 °C, with 20 up to 80% relative humidity) with and without simulated wind (3.5 vs 0.2 m∙s−1), and wearing either minimal clothing or a full body work coverall. Our data provides compelling evidence that the impact of fans is strongly determined by air temperature and humidity. When air temperature is ≥ 35 °C, fans are ineffective and potentially harmful when relative humidity is below 50%. Our simulated data also show the climates where high wind/fans are beneficial or harmful, considering heat acclimation, age, and wind speed. Using unified weather indices, the impact of air movement is well captured by the universal thermal climate index, but not by wet-bulb globe temperature and aspirated wet-bulb temperature. Overall, the data from this study can inform new guidance for major public and occupational health agencies, potentially maintaining health and productivity in a warming climate.<br><br>
DOI: 10.5281/zenodo.5636052
title: Supplementary Material for "Model-Free Analysis of Experimental Residual Diploar Couplings in Small Organic Compounds"

description: NMR Spectra (CLIP-HSQC, perfectCLIP-HSQC, TSE-PSYCHEDELIC) of isopinocampheol in six alignment conditions. Simulation input (experimental RDC data in six alignment media, input geometries, keywords) and output files (simulation / geometry trajectories, alignment data, SECONDA analysis) for isopinocampheol runs with the TITANIA software.
DOI: 10.5281/zenodo.5636051
title: Supplementary Material for "Model-Free Analysis of Experimental Residual Diploar Couplings in Small Organic Compounds"

description: NMR Spectra (CLIP-HSQC, perfectCLIP-HSQC, TSE-PSYCHEDELIC) of isopinocampheol in six alignment conditions. Simulation input (experimental RDC data in six alignment media, input geometries, keywords) and output files (simulation / geometry trajectories, alignment data, SECONDA analysis) for isopinocampheol runs with the TITANIA software.
DOI: 10.6084/m9.figshare.16940677
title: Data used in Population differences in the length and early-life dynamics of telomeres among European pied flycatchers

description: Data used in Population differences in the length and early-life dynamics of telomeres among European pied flycatchers. Includes three different datasets and variable explanations.
DOI: 10.5281/zenodo.5657284
title: Sesamum indicum assemblies

description: Sesamum indicum assemblies
DOI: 10.5281/zenodo.5657283
title: Sesamum indicum assemblies

description: Sesamum indicum assemblies
DOI: 10.21227/e0gc-8z84
title: Dataset of CSTR for example 1

description: 这是一个基于连续搅拌釜反应器(CSTR)的警报系统数据集，论文“基于警报持续时间的估计概率质量函数的延迟计时器的设计”。
DOI: 10.48370/ofd/mmfawg
title: Paraphaeosphaeria michotii (Westend.) O.E. Erikss., 4497

description: Fungarium Micromycetes
DOI: 10.34740/kaggle/dsv/2792284
title: COVID Vaccination in World (updated daily)
DOI: 10.6084/m9.figshare.16964647
title: eBird lab R data.csv

description: Arrival and departure dates from Lee County, Florida, from eBird
DOI: 10.6084/m9.figshare.16964647.v1
title: eBird lab R data.csv

description: Arrival and departure dates from Lee County, Florida, from eBird
DOI: 10.5517/ccdc.csd.cc214zck
title: CCDC 1881618: Experimental Crystal Structure Determination

description: Related Article: Bholey Singh, Balaram Pani, Deepak Gupta|2021|Dalton Trans.|50|15558|doi:10.1039/D1DT02216D
DOI: 10.5517/ccdc.csd.cc217cxl
title: CCDC 1883929: Experimental Crystal Structure Determination

description: Related Article: Bholey Singh, Balaram Pani, Deepak Gupta|2021|Dalton Trans.|50|15558|doi:10.1039/D1DT02216D
DOI: 10.5517/ccdc.csd.cc215wkp
title: CCDC 1882492: Experimental Crystal Structure Determination

description: Related Article: A. P. Prakasham, Sabyasachi Ta, Shreyata Dey, Prasenjit Ghosh|2021|Dalton Trans.|50|15640|doi:10.1039/D1DT02849A
DOI: 10.5517/ccdc.csd.cc1nl5q4
title: CCDC 1536816: Experimental Crystal Structure Determination

description: Related Article: A. P. Prakasham, Sabyasachi Ta, Shreyata Dey, Prasenjit Ghosh|2021|Dalton Trans.|50|15640|doi:10.1039/D1DT02849A
DOI: 10.5517/ccdc.csd.cc1z5qmh
title: CCDC 1822757: Experimental Crystal Structure Determination

description: Related Article: A. P. Prakasham, Sabyasachi Ta, Shreyata Dey, Prasenjit Ghosh|2021|Dalton Trans.|50|15640|doi:10.1039/D1DT02849A
DOI: 10.5517/ccdc.csd.cc22gnqy
title: CCDC 1920720: Experimental Crystal Structure Determination

description: Related Article: Susan Soleymani-Babadi, Azizolla Beheshti, Elahe Nasiri, Maryam Bahrani-Pour, Hossein Motamedi, Peter Mayer|2021|Dalton Trans.|50|15538|doi:10.1039/D1DT00176K
DOI: 10.5517/ccdc.csd.cc22gnrz
title: CCDC 1920721: Experimental Crystal Structure Determination

description: Related Article: Susan Soleymani-Babadi, Azizolla Beheshti, Elahe Nasiri, Maryam Bahrani-Pour, Hossein Motamedi, Peter Mayer|2021|Dalton Trans.|50|15538|doi:10.1039/D1DT00176K
DOI: 10.5517/ccdc.csd.cc230ftd
title: CCDC 1936843: Experimental Crystal Structure Determination

description: Related Article: A. P. Prakasham, Sabyasachi Ta, Shreyata Dey, Prasenjit Ghosh|2021|Dalton Trans.|50|15640|doi:10.1039/D1DT02849A
DOI: 10.5517/ccdc.csd.cc24nfmw
title: CCDC 1985848: Experimental Crystal Structure Determination

description: Related Article: Gourab Karmakar, Kruti K. Halankar, Adish Tyagi, B. P. Mandal, A. P. Wadawale, G. Kedarnath, A. P. Srivastava, Vishal Singh|2021|Dalton Trans.|50|15730|doi:10.1039/D1DT01312B
DOI: 10.5517/ccdc.csd.cc256xfr
title: CCDC 2002644: Experimental Crystal Structure Determination

description: Related Article: Esko Salojärvi, Anssi Peuronen, Jani Moilanen, Hannu Huhtinen, Johan Lindén, Akseli Mansikkamäki, Mika Lastusaari, Ari Lehtonen|2021|Dalton Trans.|50|15831|doi:10.1039/D1DT01607E
DOI: 10.5517/ccdc.csd.cc25r8w3
title: CCDC 2018375: Experimental Crystal Structure Determination

description: Related Article: Jamaladin Shakeri, Hassan Hadadzadeh, Hossein Farrokhpour, Matthias Weil, Mohammad Joshaghani|2021|J. Appl. Electrochem.|51|1689|doi:10.1007/s10800-021-01607-4
DOI: 10.5517/ccdc.csd.cc26m5vw
title: CCDC 2044228: Experimental Crystal Structure Determination

description: Related Article: Saier Wang, Shuaishuai Wang, Xu Guo, Zikai Wang, Feifei Mao, Lianghu Su, Hua Wu, Kuaibing Wang, Qichun Zhang|2021|Inorg.Chem.Front.|8|4878|doi:10.1039/D1QI00864A
DOI: 10.5517/ccdc.csd.cc26nfr2
title: CCDC 2045434: Experimental Crystal Structure Determination

description: Related Article: Liyun Xu, Qinzhen Li, Tianrong Li, Jinsong Chai, Sha Yang, Manzhou Zhu|2021|Inorg.Chem.Front.|8|4820|doi:10.1039/D1QI01015H
DOI: 10.5517/ccdc.csd.cc274y5j
title: CCDC 2060327: Experimental Crystal Structure Determination

description: Related Article: Matilde Fondo, Julio Corredoira-Vázquez, Ana M. García-Deibe, Jesús Sanmartín-Matalobos, Daniel Reta, Enrique Colacio|2021|Dalton Trans.|50|15878|doi:10.1039/D1DT02756E
DOI: 10.5517/ccdc.csd.cc274y6k
title: CCDC 2060328: Experimental Crystal Structure Determination

description: Related Article: Matilde Fondo, Julio Corredoira-Vázquez, Ana M. García-Deibe, Jesús Sanmartín-Matalobos, Daniel Reta, Enrique Colacio|2021|Dalton Trans.|50|15878|doi:10.1039/D1DT02756E
DOI: 10.5517/ccdc.csd.cc274y7l
title: CCDC 2060329: Experimental Crystal Structure Determination

description: Related Article: Matilde Fondo, Julio Corredoira-Vázquez, Ana M. García-Deibe, Jesús Sanmartín-Matalobos, Daniel Reta, Enrique Colacio|2021|Dalton Trans.|50|15878|doi:10.1039/D1DT02756E
DOI: 10.5517/ccdc.csd.cc274y8m
title: CCDC 2060330: Experimental Crystal Structure Determination

description: Related Article: Matilde Fondo, Julio Corredoira-Vázquez, Ana M. García-Deibe, Jesús Sanmartín-Matalobos, Daniel Reta, Enrique Colacio|2021|Dalton Trans.|50|15878|doi:10.1039/D1DT02756E
DOI: 10.5517/ccdc.csd.cc277dtq
title: CCDC 2062703: Experimental Crystal Structure Determination

description: Related Article: Esko Salojärvi, Anssi Peuronen, Jani Moilanen, Hannu Huhtinen, Johan Lindén, Akseli Mansikkamäki, Mika Lastusaari, Ari Lehtonen|2021|Dalton Trans.|50|15831|doi:10.1039/D1DT01607E
DOI: 10.5517/ccdc.csd.cc27pph4
title: CCDC 2076426: Experimental Crystal Structure Determination

description: Related Article: Shu-Ju Wang, Qian Li, Guan-Lin Xiu, Li-Xin You, Fu Ding, Rik Van Deun, Ileana Dragutan, Valerian Dragutan, Ya-Guang Sun|2021|Dalton Trans.|50|15612|doi:10.1039/D1DT02687A
DOI: 10.5517/ccdc.csd.cc27pqd2
title: CCDC 2076454: Experimental Crystal Structure Determination

description: Related Article: Shu-Ju Wang, Qian Li, Guan-Lin Xiu, Li-Xin You, Fu Ding, Rik Van Deun, Ileana Dragutan, Valerian Dragutan, Ya-Guang Sun|2021|Dalton Trans.|50|15612|doi:10.1039/D1DT02687A
DOI: 10.21258/1220698
title: Inventario forestale nazionale svizzero - Tabella n. 160211
DOI: 10.21258/1220699
title: Inventario forestale nazionale svizzero - Tabella n. 160209
DOI: 10.21258/1220700
title: Inventario forestale nazionale svizzero - Tabella n. 160208
DOI: 10.21258/1220701
title: Inventario forestale nazionale svizzero - Tabella n. 160210
DOI: 10.21258/1220692
title: Inventario forestale nazionale svizzero - Tabella n. 160222
DOI: 10.21258/1220693
title: Inventario forestale nazionale svizzero - Tabella n. 160219
DOI: 10.21258/1220694
title: Inventario forestale nazionale svizzero - Tabella n. 160216
DOI: 10.21258/1220695
title: Inventario forestale nazionale svizzero - Tabella n. 160214
DOI: 10.21258/1220686
title: Inventario forestale nazionale svizzero - Tabella n. 160224
DOI: 10.21258/1220687
title: Inventario forestale nazionale svizzero - Tabella n. 160223
DOI: 10.21258/1220688
title: Inventario forestale nazionale svizzero - Tabella n. 160221
DOI: 10.21258/1220689
title: Inventario forestale nazionale svizzero - Tabella n. 160220
DOI: 10.21258/1220690
title: Inventario forestale nazionale svizzero - Tabella n. 160217
DOI: 10.21258/1220691
title: Inventario forestale nazionale svizzero - Tabella n. 160218
DOI: 10.21258/1220681
title: Inventario forestale nazionale svizzero - Tabella n. 160238
DOI: 10.21258/1220682
title: Inventario forestale nazionale svizzero - Tabella n. 160227
DOI: 10.21258/1220683
title: Inventario forestale nazionale svizzero - Tabella n. 160226
DOI: 10.21258/1220684
title: Inventario forestale nazionale svizzero - Tabella n. 160228
DOI: 10.21258/1220685
title: Inventario forestale nazionale svizzero - Tabella n. 160225
DOI: 10.21258/1220676
title: Inventario forestale nazionale svizzero - Tabella n. 160232
DOI: 10.21258/1220677
title: Inventario forestale nazionale svizzero - Tabella n. 160233
DOI: 10.21258/1220678
title: Inventario forestale nazionale svizzero - Tabella n. 160230
DOI: 10.21258/1220679
title: Inventario forestale nazionale svizzero - Tabella n. 160231
DOI: 10.21258/1220680
title: Inventario forestale nazionale svizzero - Tabella n. 160229
DOI: 10.21258/1220672
title: Inventario forestale nazionale svizzero - Tabella n. 160236
DOI: 10.21258/1220673
title: Inventario forestale nazionale svizzero - Tabella n. 160240
DOI: 10.21258/1220674
title: Inventario forestale nazionale svizzero - Tabella n. 160235
DOI: 10.21258/1220675
title: Inventario forestale nazionale svizzero - Tabella n. 160234
DOI: 10.21258/1220667
title: Inventario forestale nazionale svizzero - Tabella n. 160243
DOI: 10.21258/1220668
title: Inventario forestale nazionale svizzero - Tabella n. 160244
DOI: 10.21258/1220669
title: Inventario forestale nazionale svizzero - Tabella n. 160242
DOI: 10.21258/1220670
title: Inventario forestale nazionale svizzero - Tabella n. 160237