cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3941449
title: H&E, TTF1, immunofluorescence staining and Digital Spatial Profiling of histologically heterogeneous lung adenocarcinoma FFPE sections.

description: Please refer to the methods section of the paper for more detailed explanations. In summary: <strong>chuv_imaging_dataset_annotation.xlsx</strong>: table containing imaging assays available for each sample and histologic patterns present. <strong>he_images.zip</strong>: high-resolution images of FFPE sections stained with H&E and acquired at 20x magnification. <strong>ttf1_images.zip</strong>: high-resolution images of FFPE sections stained with TTF1 and acquired at 20x magnification. <strong>if_images.zip</strong>: high-resolution images of FFPE sections assayed with multicolor immunofluorescence (markers: CD20, CD4, CD8, CD68, Ki67) and acquired at 20x magnification. <strong>DSP_data_and_annotations.xlsx</strong>: tables containing Digital Spatial Profiling (DSP) data (in SNR) and annotations for batch1 and batch2. <strong>all_snapshots.zip</strong>: low-resolution snapshots of all images uploaded in this repository (H&E, TTF1, immunofluorescence - with all 5 colors together and with each color separately), with histologic pattern boundaries drawn on the images; immunofluorescence snapshots of DSP ROIs (batch1) and their position on each slide. Color code for histologic pattern boundaries: grey = normal, blue = lepidic, sea green = papillary, orange = acinar, red = solid.<br> Color code for immunofluorescence channels: cyan = CD20, blue = CD4, yellow = CD8, red = CD68, green = Ki67.<br> Color code for DSP snapshots: sea green = CD3, red = CD45, yellow = CD20, blue = DAPI
DOI: 10.6084/m9.figshare.14095581
title: Supplementary Material for: Respiratory Muscle Weakness as a Risk Factor for Pneumonia in Older People

description: <b><i>Introduction:</i></b> The respiratory muscle strength regulates the effectiveness of coughing, which clears the airways and protects people from pneumonia. Sarcopenia is an aging-related loss of muscle mass and function, the worsening of which is associated with malnutrition. The loss of respiratory and swallowing muscle strength occurs with aging, but its effect on pneumonia is unclear. This study aimed to determine the risks of respiratory muscle weakness on the onset and relapse of pneumonia in older people in conjunction with other muscle-related factors such as malnutrition. <b><i>Methods:</i></b> We conducted a longitudinal study with 47 pneumonia inpatients and 35 non-pneumonia controls aged 70 years and older. We evaluated the strength of respiratory and swallowing muscles, muscle mass, and malnutrition (assessed by serum albumin levels and somatic fat) during admission and confirmed pneumonia relapse within 6 months. The maximal inspiratory and expiratory pressures determined the respiratory muscle strength. Swallowing muscle strength was evaluated by tongue pressure. Bioelectrical impedance analysis was used to evaluate the muscle and fat mass. <b><i>Results:</i></b> The respiratory muscle strength, body trunk muscle mass, serum albumin level, somatic fat mass, and tongue pressure were significantly lower in pneumonia patients than in controls. Risk factors for the onset of pneumonia were low inspiratory respiratory muscle strength (odds ratio [OR], 6.85; 95% confidence interval [CI], 1.56–30.11), low body trunk muscle mass divided by height<sup>2</sup> (OR, 6.86; 95% CI, 1.49–31.65), and low serum albumin level (OR, 5.46; 95% CI, 1.51–19.79). For the relapse of pneumonia, low somatic fat mass divided by height<sup>2</sup> was a risk factor (OR, 20.10; 95% CI, 2.10–192.42). <b><i>Discussion/Conclusions:</i></b> Respiratory muscle weakness, lower body trunk muscle mass, and malnutrition were risk factors for the onset of pneumonia in older people. For the relapse of pneumonia, malnutrition was a risk factor.
DOI: 10.6084/m9.figshare.14095581.v1
title: Supplementary Material for: Respiratory Muscle Weakness as a Risk Factor for Pneumonia in Older People

description: <b><i>Introduction:</i></b> The respiratory muscle strength regulates the effectiveness of coughing, which clears the airways and protects people from pneumonia. Sarcopenia is an aging-related loss of muscle mass and function, the worsening of which is associated with malnutrition. The loss of respiratory and swallowing muscle strength occurs with aging, but its effect on pneumonia is unclear. This study aimed to determine the risks of respiratory muscle weakness on the onset and relapse of pneumonia in older people in conjunction with other muscle-related factors such as malnutrition. <b><i>Methods:</i></b> We conducted a longitudinal study with 47 pneumonia inpatients and 35 non-pneumonia controls aged 70 years and older. We evaluated the strength of respiratory and swallowing muscles, muscle mass, and malnutrition (assessed by serum albumin levels and somatic fat) during admission and confirmed pneumonia relapse within 6 months. The maximal inspiratory and expiratory pressures determined the respiratory muscle strength. Swallowing muscle strength was evaluated by tongue pressure. Bioelectrical impedance analysis was used to evaluate the muscle and fat mass. <b><i>Results:</i></b> The respiratory muscle strength, body trunk muscle mass, serum albumin level, somatic fat mass, and tongue pressure were significantly lower in pneumonia patients than in controls. Risk factors for the onset of pneumonia were low inspiratory respiratory muscle strength (odds ratio [OR], 6.85; 95% confidence interval [CI], 1.56–30.11), low body trunk muscle mass divided by height<sup>2</sup> (OR, 6.86; 95% CI, 1.49–31.65), and low serum albumin level (OR, 5.46; 95% CI, 1.51–19.79). For the relapse of pneumonia, low somatic fat mass divided by height<sup>2</sup> was a risk factor (OR, 20.10; 95% CI, 2.10–192.42). <b><i>Discussion/Conclusions:</i></b> Respiratory muscle weakness, lower body trunk muscle mass, and malnutrition were risk factors for the onset of pneumonia in older people. For the relapse of pneumonia, malnutrition was a risk factor.
DOI: 10.5281/zenodo.4550725
title: Data from "Mental health and coping strategies in families of children and young adults with muscular dystrophies"

description: The present dataset contains the variables referred to the paper "Tesei, A., Nobile, M., Colombo, P., Civati, F., Gandossini, S., Mani, E., ... & D’Angelo, G. (2020). Mental health and coping strategies in families of children and young adults with muscular dystrophies. <em>Journal of Neurology</em>, <em>267</em>(7), 2054-2069". See the article methods section for the variables description.
description: The work was supported by Grants of the Italian Ministry of Health Ricerca Corrente 2018 and 5 per mille funds for biomedical research (Grant no. 2013-2016).
DOI: 10.5281/zenodo.4537221
title: Clinical, neuropsychological and NIRS neurophysiological data in children with ADHD and typically developing peers

description: The present dataset contains the following variables referred to 43 children participating to a cross sectional study. - ID = subject's identifier - group = subject's group (ctrl=control group, adhd = attention deficit / hyperactivity disorder) - diagnosis1, diagnosis2, diagnosis3 = possible comorbid diagnosis - sex = subject's biological gender (m=male, f=female) - age = subject's age in years - ses = socio-economic status - FSIQ = Full Scale Intelligence Quotient - CPRS_ADHDindex = Conners Parent Rating Scale, ADHD Index Scale - *_CBCL (columns K:S)= Child Behavior Checklist/6-18, syndromes scales scores (T-points). Note: DysregulationProfile is the sum of "AnxDep", "Attention", "Aggressive". - Columns T:AY = NIRS activation data. Note: HbO=Oxyhemoglobin; HbR=Deoxyhemoglobin; PF=prefrontal; F=frontal; sx=left;dx=right; Pos=Positive task condition; Dist=Distorted task condition; Neg=Negative task condition; Neu=Neutral task condition. - Columns BB:BO = computerized task performances. Note: Pos=Positive task condition; Dist=Distorted task condition; Neg=Negative task condition; Neu=Neutral task condition; mRThit=reaction time for hits, mean value; sdRThit=reaction time for hits, standard deviation; err=number of commission errors; miss=number of omission errors.
description: This work was supported by the Italian Ministry of Health (Ricerca Corrente 2020 MIMOSA, Grant No. 504, to Dr Nobile). Eleonora Maggioni was supported by the Fondazione Cariplo (grant No. 2016- 0908).
description: {"references": ["Mauri, M., Grazioli, S., Crippa, A., Bacchetta, A., Pozzoli, U., Bertella, S., ... & Nobile, M. (2020). Hemodynamic and behavioral peculiarities in response to emotional stimuli in children with attention deficit hyperactivity disorder: An fNIRS study. Journal of Affective Disorders, 277, 671-680"]}
DOI: 10.5281/zenodo.4541482
title: Data from "Does ACT-Group Training Improve Cognitive Domain in Children with Attention Deficit Hyperactivity Disorder? A Single-Arm, Open-Label Study".

description: The present dataset contains the variables referred to the paper "Vanzin, L., Crippa, A., Mauri, V., Valli, A., Mauri, M., Molteni, M., & Nobile, M. (2020). Does ACT-Group Training Improve Cognitive Domain in Children with Attention Deficit Hyperactivity Disorder? A Single-Arm, Open-Label Study. Behaviour Change, 37(1)". See the second sheet for the variables description.
description: This research was supported by a grant from the Italian Ministry of Health (Ricerca Corrente 2018-2019MIMOSA, grant number 504, to Dr Nobile).
DOI: 10.5281/zenodo.4537220
title: Clinical, neuropsychological and NIRS neurophysiological data in children with ADHD and typically developing peers

description: The present dataset contains the following variables referred to 43 children participating to a cross sectional study. - ID = subject's identifier - group = subject's group (ctrl=control group, adhd = attention deficit / hyperactivity disorder) - diagnosis1, diagnosis2, diagnosis3 = possible comorbid diagnosis - sex = subject's biological gender (m=male, f=female) - age = subject's age in years - ses = socio-economic status - FSIQ = Full Scale Intelligence Quotient - CPRS_ADHDindex = Conners Parent Rating Scale, ADHD Index Scale - *_CBCL (columns K:S)= Child Behavior Checklist/6-18, syndromes scales scores (T-points). Note: DysregulationProfile is the sum of "AnxDep", "Attention", "Aggressive". - Columns T:AY = NIRS activation data. Note: HbO=Oxyhemoglobin; HbR=Deoxyhemoglobin; PF=prefrontal; F=frontal; sx=left;dx=right; Pos=Positive task condition; Dist=Distorted task condition; Neg=Negative task condition; Neu=Neutral task condition. - Columns BB:BO = computerized task performances. Note: Pos=Positive task condition; Dist=Distorted task condition; Neg=Negative task condition; Neu=Neutral task condition; mRThit=reaction time for hits, mean value; sdRThit=reaction time for hits, standard deviation; err=number of commission errors; miss=number of omission errors.
description: This work was supported by the Italian Ministry of Health (Ricerca Corrente 2020 MIMOSA, Grant No. 504, to Dr Nobile). Eleonora Maggioni was supported by the Fondazione Cariplo (grant No. 2016- 0908).
description: {"references": ["Mauri, M., Grazioli, S., Crippa, A., Bacchetta, A., Pozzoli, U., Bertella, S., ... & Nobile, M. (2020). Hemodynamic and behavioral peculiarities in response to emotional stimuli in children with attention deficit hyperactivity disorder: An fNIRS study. Journal of Affective Disorders, 277, 671-680"]}
DOI: 10.5281/zenodo.4541481
title: Data from "Does ACT-Group Training Improve Cognitive Domain in Children with Attention Deficit Hyperactivity Disorder? A Single-Arm, Open-Label Study".

description: The present dataset contains the variables referred to the paper "Vanzin, L., Crippa, A., Mauri, V., Valli, A., Mauri, M., Molteni, M., & Nobile, M. (2020). Does ACT-Group Training Improve Cognitive Domain in Children with Attention Deficit Hyperactivity Disorder? A Single-Arm, Open-Label Study. Behaviour Change, 37(1)". See the second sheet for the variables description.
description: This research was supported by a grant from the Italian Ministry of Health (Ricerca Corrente 2018-2019MIMOSA, grant number 504, to Dr Nobile).
DOI: 10.5281/zenodo.4550724
title: Data from "Mental health and coping strategies in families of children and young adults with muscular dystrophies"

description: The present dataset contains the variables referred to the paper "Tesei, A., Nobile, M., Colombo, P., Civati, F., Gandossini, S., Mani, E., ... & D’Angelo, G. (2020). Mental health and coping strategies in families of children and young adults with muscular dystrophies. <em>Journal of Neurology</em>, <em>267</em>(7), 2054-2069". See the article methods section for the variables description.
description: The work was supported by Grants of the Italian Ministry of Health Ricerca Corrente 2018 and 5 per mille funds for biomedical research (Grant no. 2013-2016).
DOI: 10.20351/29gd20040509
title: RECS-7 Cruise, RV García del Cid

description: RECS-7 Cruise (29GD20040509) carried out on the Research Vessel García del Cid in 2004
DOI: 10.5517/ccdc.csd.cc25m544
title: CCDC 2014415: Experimental Crystal Structure Determination

description: Related Article: Ryan T. Davison, Patrick D. Parker, Xintong Hou, Crystal P. Chung, Sara A. Augustine, Vy M. Dong|2021|Angew.Chem.,Int.Ed.|60|4599|doi:10.1002/anie.202014015
DOI: 10.5517/ccdc.csd.cc25m555
title: CCDC 2014416: Experimental Crystal Structure Determination

description: Related Article: Ryan T. Davison, Patrick D. Parker, Xintong Hou, Crystal P. Chung, Sara A. Augustine, Vy M. Dong|2021|Angew.Chem.,Int.Ed.|60|4599|doi:10.1002/anie.202014015
DOI: 10.5517/ccdc.csd.cc25pmvc
title: CCDC 2016793: Experimental Crystal Structure Determination

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DOI: 10.5517/ccdc.csd.cc25pmwd
title: CCDC 2016794: Experimental Crystal Structure Determination

description: Related Article: Goutam Kumar Kole, Julia Merz, Anissa Amar, Bruno Fontaine, Abdou Boucekkine, Jörn Nitsch, Sabine Lorenzen, Alexandra Friedrich, Ivo Krummenacher, Marta Košćak, Holger Braunschweig, Ivo Piantanida, Jean-François Halet, Klaus Müller-Buschbaum, Todd B. Marder|2021|Chem.-Eur.J.|27|2837|doi:10.1002/chem.202004748
DOI: 10.5517/ccdc.csd.cc25pmxf
title: CCDC 2016795: Experimental Crystal Structure Determination

description: Related Article: Goutam Kumar Kole, Julia Merz, Anissa Amar, Bruno Fontaine, Abdou Boucekkine, Jörn Nitsch, Sabine Lorenzen, Alexandra Friedrich, Ivo Krummenacher, Marta Košćak, Holger Braunschweig, Ivo Piantanida, Jean-François Halet, Klaus Müller-Buschbaum, Todd B. Marder|2021|Chem.-Eur.J.|27|2837|doi:10.1002/chem.202004748
DOI: 10.5517/ccdc.csd.cc25pmyg
title: CCDC 2016796: Experimental Crystal Structure Determination

description: Related Article: Goutam Kumar Kole, Julia Merz, Anissa Amar, Bruno Fontaine, Abdou Boucekkine, Jörn Nitsch, Sabine Lorenzen, Alexandra Friedrich, Ivo Krummenacher, Marta Košćak, Holger Braunschweig, Ivo Piantanida, Jean-François Halet, Klaus Müller-Buschbaum, Todd B. Marder|2021|Chem.-Eur.J.|27|2837|doi:10.1002/chem.202004748
DOI: 10.5517/ccdc.csd.cc25ybvb
title: CCDC 2024202: Experimental Crystal Structure Determination

description: Related Article: Dong Yang, Larissa K. S. Krbek, Le Yu, Tanya K. Ronson, John D. Thoburn, John P. Carpenter, Jake L. Greenfield, Duncan J. Howe, Biao Wu, Jonathan R. Nitschke|2021|Angew.Chem.,Int.Ed.|60|4485|doi:10.1002/anie.202014568
DOI: 10.5517/ccdc.csd.cc261d1q
title: CCDC 2027122: Experimental Crystal Structure Determination

description: Related Article: Minoru Mitsumi, Yuuki Komatsu, Masahiro Hashimoto, Koshiro Toriumi, Yasutaka Kitagawa, Yuji Miyazaki, Hiroki Akutsu, Haruo Akashi|2021|Chem.-Eur.J.|27|3074|doi:10.1002/chem.202004217
DOI: 10.5517/ccdc.csd.cc261d2r
title: CCDC 2027123: Experimental Crystal Structure Determination

description: Related Article: Minoru Mitsumi, Yuuki Komatsu, Masahiro Hashimoto, Koshiro Toriumi, Yasutaka Kitagawa, Yuji Miyazaki, Hiroki Akutsu, Haruo Akashi|2021|Chem.-Eur.J.|27|3074|doi:10.1002/chem.202004217
DOI: 10.5517/ccdc.csd.cc261d3s
title: CCDC 2027124: Experimental Crystal Structure Determination

description: Related Article: Minoru Mitsumi, Yuuki Komatsu, Masahiro Hashimoto, Koshiro Toriumi, Yasutaka Kitagawa, Yuji Miyazaki, Hiroki Akutsu, Haruo Akashi|2021|Chem.-Eur.J.|27|3074|doi:10.1002/chem.202004217
DOI: 10.5517/ccdc.csd.cc261d4t
title: CCDC 2027125: Experimental Crystal Structure Determination

description: Related Article: Minoru Mitsumi, Yuuki Komatsu, Masahiro Hashimoto, Koshiro Toriumi, Yasutaka Kitagawa, Yuji Miyazaki, Hiroki Akutsu, Haruo Akashi|2021|Chem.-Eur.J.|27|3074|doi:10.1002/chem.202004217
DOI: 10.5517/ccdc.csd.cc261d5v
title: CCDC 2027126: Experimental Crystal Structure Determination

description: Related Article: Minoru Mitsumi, Yuuki Komatsu, Masahiro Hashimoto, Koshiro Toriumi, Yasutaka Kitagawa, Yuji Miyazaki, Hiroki Akutsu, Haruo Akashi|2021|Chem.-Eur.J.|27|3074|doi:10.1002/chem.202004217
DOI: 10.5517/ccdc.csd.cc261d6w
title: CCDC 2027127: Experimental Crystal Structure Determination

description: Related Article: Minoru Mitsumi, Yuuki Komatsu, Masahiro Hashimoto, Koshiro Toriumi, Yasutaka Kitagawa, Yuji Miyazaki, Hiroki Akutsu, Haruo Akashi|2021|Chem.-Eur.J.|27|3074|doi:10.1002/chem.202004217
DOI: 10.5517/ccdc.csd.cc261d7x
title: CCDC 2027128: Experimental Crystal Structure Determination

description: Related Article: Minoru Mitsumi, Yuuki Komatsu, Masahiro Hashimoto, Koshiro Toriumi, Yasutaka Kitagawa, Yuji Miyazaki, Hiroki Akutsu, Haruo Akashi|2021|Chem.-Eur.J.|27|3074|doi:10.1002/chem.202004217
DOI: 10.5517/ccdc.csd.cc261d8y
title: CCDC 2027129: Experimental Crystal Structure Determination

description: Related Article: Minoru Mitsumi, Yuuki Komatsu, Masahiro Hashimoto, Koshiro Toriumi, Yasutaka Kitagawa, Yuji Miyazaki, Hiroki Akutsu, Haruo Akashi|2021|Chem.-Eur.J.|27|3074|doi:10.1002/chem.202004217
DOI: 10.5517/ccdc.csd.cc261d9z
title: CCDC 2027130: Experimental Crystal Structure Determination

description: Related Article: Minoru Mitsumi, Yuuki Komatsu, Masahiro Hashimoto, Koshiro Toriumi, Yasutaka Kitagawa, Yuji Miyazaki, Hiroki Akutsu, Haruo Akashi|2021|Chem.-Eur.J.|27|3074|doi:10.1002/chem.202004217
DOI: 10.5517/ccdc.csd.cc261db0
title: CCDC 2027131: Experimental Crystal Structure Determination

description: Related Article: Minoru Mitsumi, Yuuki Komatsu, Masahiro Hashimoto, Koshiro Toriumi, Yasutaka Kitagawa, Yuji Miyazaki, Hiroki Akutsu, Haruo Akashi|2021|Chem.-Eur.J.|27|3074|doi:10.1002/chem.202004217
DOI: 10.5517/ccdc.csd.cc26bvp3
title: CCDC 2036225: Experimental Crystal Structure Determination

description: Related Article: Peng Yan, Changxu Zhong, Jie Zhang, Yu Liu, Huayi Fang, Ping Lu|2021|Angew.Chem.,Int.Ed.|60|4609|doi:10.1002/anie.202014308
DOI: 10.5517/ccdc.csd.cc26bvq4
title: CCDC 2036226: Experimental Crystal Structure Determination

description: Related Article: Peng Yan, Changxu Zhong, Jie Zhang, Yu Liu, Huayi Fang, Ping Lu|2021|Angew.Chem.,Int.Ed.|60|4609|doi:10.1002/anie.202014308
DOI: 10.5517/ccdc.csd.cc26bvr5
title: CCDC 2036227: Experimental Crystal Structure Determination

description: Related Article: Peng Yan, Changxu Zhong, Jie Zhang, Yu Liu, Huayi Fang, Ping Lu|2021|Angew.Chem.,Int.Ed.|60|4609|doi:10.1002/anie.202014308
DOI: 10.5517/ccdc.csd.cc26bvs6
title: CCDC 2036228: Experimental Crystal Structure Determination

description: Related Article: Peng Yan, Changxu Zhong, Jie Zhang, Yu Liu, Huayi Fang, Ping Lu|2021|Angew.Chem.,Int.Ed.|60|4609|doi:10.1002/anie.202014308
DOI: 10.20351/29gd20050602
title: RODA Cruise, RV García del Cid 

description: RODA Cruise (29GD20050602) carried out on the Research Vessel García del Cid in 2005
DOI: 10.6084/m9.figshare.14069216
title: transcripts data.zip

description: The transcript fasta file of Illumina data and full-length transcriptome data from developing olive fruit.<br>
DOI: 10.5281/zenodo.4556669
title: Levels at eardrum and psychoacoustical data in loudness mismatch experiments

description: This repository contains the raw psychoacoustical data and calculated sound pressure levels at eardrum from the following publications: [1] F. Denk, M. Kohnen, J. Llorca-Bofí, M. Vorländer & B. Kollmeier: “The ‘missing 6 dB’ revisited: Influence of room acoustics and binaural parameters on the loudness mismatch between headphones and loudspeakers“ (submitted) [2] M. Kohnen, F. Denk, J. Llorca-Bofí, B. Kollmeier. & M. Vorländer: “ Cross-site investigation on head-related and headphone transfer function measurements: Implications on loudness balancing ” (in preparation) Files are stored as plain tables in txt format, where the top rows are the variable names and columns are separated by tabs. EardrumLevels: Sound pressure levels at eardrum for loudspeaker and headphone presentation with equal loudness, specified in a row for each subject and condition (combination of Room, Headphone, Signal and Interaural Coherence during headphone presentation). Levels have been computed by utilizing individual transfer functions, see Sec. 2 of [1] for further details. The appropriate levels obtained with KEMAR transfer functions are also provided here. The given standard deviation of the headphone level relates to the psychoacoustic uncertainty, and equals the standard deviation across reversal points in the adaptive loudness matching procedure. IC_data: Interaural coherence values in all rooms measured with KEMAR and all utilized signals; mean and standard deviation across several measurements around the reference listener position as given in Fig. 1 of [1]. The average interaural coherence values stated here were used in the “Room-Matched” headphone presentation mode. For further details, see Sec. 2.2 of [1]. ASW_data: Apparent Souce Width judgements of the headphone presentation relative to the loudspeaker, in the subjet and condition specified in each row. For details see Sec. 2.1 of [1]. KLS_data: Loudness growth functions of the subjects participating in Oldenburg, determined for the individual subjects and stimuli for left/right and binaural presentation using Adaptive Categorial Loudness Scaling (ACALOS). The columns named SPLX give the value of the fitted loudness function in Categorial Units (CU, [0,50]) for the free-field SPL X. For further details see Sec. 2.3 of [1]. OLSA_data: Signal-to-noise ratios at 50% speech understanding (SRT50) for the subjects participating in Oldenburg, using the Oldenburg Sentence Test (OLSA) with binaural or left-ear playback, and speech and noise either collocated (S00N00, both at front) or separated (S00N90, speech at front and noise on the right side of head). For further details see Sec. 2.3 of [1]. Individual head- and headphone related transfer functions from [1, 2] are published at https://doi.org/10.5281/zenodo.4153118 Funded by the Deutsche Forschungsgemeinschaft (DFG) – Projektnummer 352015383 – SFB 1330 A4.