cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e113762v1-130620
title: Replication data for: The Flattening Firm and Product Market Competition: The Effect of Trade Liberalization on Corporate Hierarchies

description: This paper establishes a causal effect of product market competition on various characteristics of organizational design. Using a unique panel dataset on firm hierarchies of large US firms (1986-1999) and a quasi-natural experiment (trade liberalization), we find that competition leads firms to flatten their hierarchies: firms reduce the number of positions between the CEO and division managers, and firms increase the number of positions reporting directly to the CEO. The results illustrate how firms redesign their organizational structure through a set of complementary choices in response to changes in their environment. We discuss several possible interpretations of these changes. (JEL D23, F13, G34, M12, M51)
DOI: 10.5281/zenodo.5718478
title: Cartolabe HAL 2000-2018

description: The HAL dataset is built with data extracted from the HAL open archive which stores scholarly documents from all academic fields. We've filtered this dataset to include all articles published between 2000 and 2018. Only authors and labs with at least 4 articles are kept.
DOI: 10.5281/zenodo.6760978
title: Cartolabe HAL 2000-2022

description: The HAL dataset is built with data extracted from the HAL open archive which stores scholarly documents from all academic fields. We've filtered this dataset to include all articles published between 2000 and 2022. Only authors and labs with at least 4 articles are kept.
description: Until June 2022
DOI: 10.5281/zenodo.7311312
title: Cartolabe HAL 2000-2022

description: The HAL dataset is built with data extracted from the HAL open archive which stores scholarly documents from all academic fields. We've filtered this dataset to include all articles published between 2000 and 2022. Only authors and labs with at least 4 articles are kept.
description: Until November 2022, contains filters for authors and words.
DOI: 10.6084/m9.figshare.21558231
title: Investigation of differentially expressed miRNAs and related genes/proteins in COPD in based on systematic bioinformatics analysis and experimental verification

description: <strong>Investigation of differentially expressed miRNAs and related genes/proteins in COPD in based on systematic bioinformatics analysis and experimental verification</strong>
DOI: 10.6084/m9.figshare.21558231.v1
title: Investigation of differentially expressed miRNAs and related genes/proteins in COPD in based on systematic bioinformatics analysis and experimental verification

description: <strong>Investigation of differentially expressed miRNAs and related genes/proteins in COPD in based on systematic bioinformatics analysis and experimental verification</strong>
DOI: 10.23728/b2share.6436f257b9e44c3c81e614e6d68c5083
title: Braila - Phenological Annual Summary Statistics - 2019/2020

description: Phenological Annual Summary Statistics based on Ecosystem Functional Attribute framework. The result are based on S2 interpolated with a bayesian implementation of Harmonic Model.
description: Details of the method can be found in Vicario S, Adamo M, Alcaraz-Segura D, Tarantino C (2019) Bayesian Harmonic Modelling of Sparse and Irregular Satellite Remote Sensing Time Series of Vegetation Indexes: A Story of Clouds and Fires. Remote Sens 12:83 . doi: 10.3390/rs12010083
description: The phenology is not a scalar variable but it is an ensamble of sub-variables all based on MCARI2 vegetation index and for each one two statistics are given: expected value (mean) and a mask for all pixel with standard deviation of uncertianities larger than 10% the mean (CVmask) within the general name rule proposed: locality_variable_timestamp.extension variable formed in: Phenology-SubvariableStatistics The subvariables are: mean: mean value across the year - values range between 0-0.5 stdintra: standard deviation of the value across the year - values range between 0-0.05 maxpos: day of the year of the maximum value - values range between 0-0.5 sdinter: standard deviation across years - values range between 0-0.05 The statistics are: mean: Expected value of the subvariable across 100 simulation CVmask: 0-1 mask with value 1 for pixel with less than 10% of standard deviation compared to the mean The timestamp refer to a year or to two years
DOI: 10.5281/zenodo.7323401
title: 3vessels + gallbladder

description: The images represent the ultrasound images of the 3 vessels + gallbladder of second trimester fetuses.
DOI: 10.5281/zenodo.7323400
title: 3vessels + gallbladder

description: The images represent the ultrasound images of the 3 vessels + gallbladder of second trimester fetuses.
DOI: 10.6084/m9.figshare.21558288.v1
title: Supplementary Material for: What Went Wrong with VEGF-A in Peripheral Arterial Disease? A Systematic Review and Biological Insights on Future Therapeutics

description: <b><i>Background:</i></b> Of the 200 million patients worldwide affected by peripheral arterial disease (PAD), 4% will inevitably require major limb amputation. Previous systematic reviews presented a conflicting body of evidence in terms of vascular endothelial growth factor (VEGF) family member effects upon PAD natural progression. Despite that, modulation of intrinsic angiogenesis mechanisms targeting the VEGF family members still confers an attractive therapeutic target. The aim of the present study was to evaluate current evidence of VEGF modulation in the context of PAD. <b><i>Methods:</i></b> This is a systematic literature review conducted according to the PRISMA guidelines and registered under PROSPERO database [CRD42021285988]. Independent literature search was performed up to April 1, 2022, on six databases. A total of 22 eligible studies were identified [N: 3, interventional patient studies; N: 19, animal studies]. Animal studies were appraised by the SYRCLE risk of bias tool, while human participant studies were assessed by the Newcastle Ottawa scale. Overall, quality of evidence was deemed fair for both animal and human studies. Main study outcomes were percentage change of injured vessel lumen stenosis and neointimal area formation upon VEGF modulation (inhibition or activation) in comparison with control group. <b><i>Findings:</i></b> Nineteen animal models and three human participant studies were included in the systematic review and assessed separately. Positive modulation of VEGF-A in animal models resulted in a median decrease of 65.58% [95% CI 45.2; 71.87] in lumen stenosis [14 studies]. Furthermore, positive modulation of VEGF-A was found to reduce neointimal area proliferation by a median decrease of 63.41% [95% CI 41.6; 79.59] [14 studies]. Median end of study duration was 28 days [range: 14–84 days]. Data were insufficient to assess these outcomes with respect to VEGF-B or VEGF-C modulation. The limited number of available human studies presented inadequate outcome assessment despite their overall fair NOS grading. <b><i>Interpretation:</i></b> VEGF-A-positive modulation decreases lumen stenosis and neointimal hyperplasia in PAD simulation animal models. Previously identified variability among outcomes was found to strongly stem from the variability of experimental designs. Clinical applicability and safety profile of VEGF-A in the context of PAD remain to be defined by a robust and uniformly designed body of further animal model-based experiments.
DOI: 10.6084/m9.figshare.21304530
title: Supplementary Material for: Real-world data on potent P2Y12-inhibition in patients with suspected chronic coronary syndrome, referred for coronary angiography

description: Introduction Potential benefit with potent platelet inhibition in patients with chronic coronary syndrome (CCS), undergoing percutaneous coronary intervention (PCI) has been discussed. The aim of this study was to compare a potent P2Y12 inhibition strategy using ticagrelor with clopidogrel, in CCS patients referred for coronary angiography (CA) and PCI if feasible. Methods In this retrospective real-world study, patients referred for outpatient CA due to suspected CCS were included. To adjust for group differences, a propensity score reflecting the probability of being treated with ticagrelor was calculated and added to the logistic regression outcome model. Results In total 1 003 patients were included in the primary analysis (577 treated with clopidogrel and 426 with ticagrelor). Among clopidogrel treated patients 132 (22.9%) experienced a bleeding complication compared with 93 (21.8%) among ticagrelor treated patients, with no significant difference between the groups (p=0.70). There was no difference in bleeding severity. Furthermore, we observed no statistically significant difference in major adverse cardiovascular event (MACE [death, stent thrombosis, myocardial infarction or stroke]), (1.2% vs 2.3%, p=0.17). A subgroup analysis restricted to patients undergoing PCI ad hoc displayed a similar pattern. Also patients undergoing CA without PCI ad hoc frequently experienced a bleeding complication, with no difference between the two treatments (21.0 % vs 17.3%, p=0.27). Propensity score adjusted analyses confirmed the results. Discussion/Conclusion In patients with CCS referred for CA and PCI if feasible, a more potent P2Y12 inhibition strategy with ticagrelor was not associated with bleeding complications or MACE compared with clopidogrel.
DOI: 10.6084/m9.figshare.21304530.v1
title: Supplementary Material for: Real-world data on potent P2Y12-inhibition in patients with suspected chronic coronary syndrome, referred for coronary angiography

description: Introduction Potential benefit with potent platelet inhibition in patients with chronic coronary syndrome (CCS), undergoing percutaneous coronary intervention (PCI) has been discussed. The aim of this study was to compare a potent P2Y12 inhibition strategy using ticagrelor with clopidogrel, in CCS patients referred for coronary angiography (CA) and PCI if feasible. Methods In this retrospective real-world study, patients referred for outpatient CA due to suspected CCS were included. To adjust for group differences, a propensity score reflecting the probability of being treated with ticagrelor was calculated and added to the logistic regression outcome model. Results In total 1 003 patients were included in the primary analysis (577 treated with clopidogrel and 426 with ticagrelor). Among clopidogrel treated patients 132 (22.9%) experienced a bleeding complication compared with 93 (21.8%) among ticagrelor treated patients, with no significant difference between the groups (p=0.70). There was no difference in bleeding severity. Furthermore, we observed no statistically significant difference in major adverse cardiovascular event (MACE [death, stent thrombosis, myocardial infarction or stroke]), (1.2% vs 2.3%, p=0.17). A subgroup analysis restricted to patients undergoing PCI ad hoc displayed a similar pattern. Also patients undergoing CA without PCI ad hoc frequently experienced a bleeding complication, with no difference between the two treatments (21.0 % vs 17.3%, p=0.27). Propensity score adjusted analyses confirmed the results. Discussion/Conclusion In patients with CCS referred for CA and PCI if feasible, a more potent P2Y12 inhibition strategy with ticagrelor was not associated with bleeding complications or MACE compared with clopidogrel.
DOI: 10.6084/m9.figshare.21261927.v1
title: Supplementary Material for: Contrast enhanced ultrasound and protein shakes are no alternatives for inulin clearance and meat to assess renal functional reserve in humans

description: Introduction: The measurement of renal functional reserve (RFR) can unmask glomerular hyperfiltration in residual nephrons but its determination is time-consuming. In this study we assessed whether contrast-enhanced ultrasound (CEUS) is a valuable alternative to the gold standard inulin-clearance, and whether L-arginine or protein shakes lead to similar changes in glomerular filtration rate (GFR) as animal proteins in men and women. Methods: Changes in GFR and renal microperfusion were studied in 25 healthy subjects (8 men, 17 women) by simultaneously performing inulin clearance and CEUS (perfusion index, PI) before and 1 and 2 hours after different protein loads (L-arginine, protein shake or meat). Doppler parameters - renal resistive index (RRI) and pulsatility index (PuI) - were also measured Results: None of the oral protein loads induced significant changes in CEUS-assessed PI. Only meat increased inulin clearance (from 111.2±16.0 to 149.8±27.2 ml/min, p&lt;0.05) and mobilized RFR, while L-arginine decreased GFR (106.7±45.3 to 86.3±42.6 ml/min, p&lt;0.05). Protein shakes had a neutral effect. There were no correlations between changes in inulin clearance and PI. At Doppler, RRI and PuI increased after meat intake (from 0.647±0.029 to 0.694±0.050, p&lt;0.05 and from 1.130±0.087 to 1.318±0.163, p&lt;0.05 respectively), but their changes also did not correlate with changes in inulin clearance. Results were similar in both sexes. Conclusions: CEUS is no valuable alternative for inulin clearance to measure RFR. Meat ingestion leads to modest changes in renal Doppler parameters and to glomerular hyperfiltration in both women and men, while protein shakes and L-arginine do not.
DOI: 10.25625/h02co2/ajz2z8
title: Evapotranspiration_BEE.tab

description: :unav
DOI: 10.25625/h02co2/dyhugi
title: Plot_46.tif.aux.xml

description: :unav
DOI: 10.25625/h02co2/qwikyc
title: Plot_51.tif.aux.xml

description: :unav
DOI: 10.25625/h02co2/mhr76i
title: Plot_14.tif.aux.xml

description: :unav
DOI: 10.25625/h02co2/ssmsup
title: Plot_12.tif.aux.xml

description: :unav
DOI: 10.25625/h02co2/8pe0md
title: Plot_33.tif

description: :unav
DOI: 10.25625/h02co2/4xzbrg
title: Plot_50.tif.aux.xml

description: :unav
DOI: 10.25625/h02co2/tbul6j
title: Plot_15.tif.aux.xml

description: :unav
DOI: 10.25625/h02co2/cfhwni
title: Plot_30.tif.aux.xml

description: :unav
DOI: 10.25625/h02co2/lz84aj
title: Plot_16.tif

description: :unav
DOI: 10.25625/h02co2/rlzj2j
title: Plot_24.tif

description: :unav
DOI: 10.25625/h02co2/jws546
title: Plot_44.tif.aux.xml

description: :unav
DOI: 10.25625/h02co2/jfuxpz
title: Plot_39.tif.aux.xml

description: :unav
DOI: 10.25625/h02co2/rteere
title: Plot_08.tif

description: :unav
DOI: 10.25625/h02co2/hag9vn
title: Plot_56.tif

description: :unav
DOI: 10.25625/h02co2/8a2bjz
title: Plot_49.tif.aux.xml

description: :unav
DOI: 10.25625/h02co2/4slugb
title: Plot_35.tif.aux.xml

description: :unav
DOI: 10.25625/h02co2/dn3n39
title: Plot_42.tif

description: :unav
DOI: 10.25625/h02co2/b3lis7
title: Plot_18.tif.aux.xml

description: :unav
DOI: 10.25625/h02co2/7nhnj0
title: Plot_05.tif

description: :unav
DOI: 10.25625/h02co2/cicajm
title: Plot_13.tif

description: :unav
DOI: 10.25625/h02co2/6vevdz
title: Plot_30.tif

description: :unav
DOI: 10.25625/h02co2/adyj86
title: Plot_20.tif

description: :unav
DOI: 10.25625/h02co2/cku77l
title: Plot_37.tif.aux.xml

description: :unav
DOI: 10.25625/h02co2/tz8mln
title: Plot_11.tif.aux.xml

description: :unav
DOI: 10.25625/h02co2/zne8se
title: Plot_10.tif

description: :unav
DOI: 10.25625/h02co2/siguni
title: Plot_35.tif

description: :unav
DOI: 10.25625/h02co2/dmpdlv
title: Plot_13.tif.aux.xml

description: :unav
DOI: 10.25625/h02co2/ztlry8
title: Plot_45.tif.aux.xml

description: :unav
DOI: 10.25625/h02co2/wy9srg
title: Plot_04.tif

description: :unav
DOI: 10.25625/h02co2/jglav5
title: Plot_26.tif.aux.xml

description: :unav
DOI: 10.25625/h02co2/1iyyak
title: Plot_21.tif

description: :unav
DOI: 10.25625/h02co2/qedq2t
title: Plot_51.tif

description: :unav
DOI: 10.25625/h02co2/mcya3y
title: Plot_27.tif.aux.xml

description: :unav
DOI: 10.25625/h02co2/8y5nou
title: Plot_44.tif

description: :unav
DOI: 10.25625/h02co2/lhkaxw
title: Plot_17.tif.aux.xml

description: :unav
DOI: 10.25625/h02co2/xkakyq
title: Plot_39.tif

description: :unav
DOI: 10.25625/h02co2/r0c6kj
title: Plot_17.tif

description: :unav
DOI: 10.25625/h02co2/1u6ozv
title: Plot_07.tif

description: :unav
DOI: 10.25625/h02co2/rrzaor
title: Plot_11.tif

description: :unav
DOI: 10.25625/h02co2/4upnaj
title: Plot_01.tif

description: :unav
DOI: 10.25625/h02co2/b7xxx4
title: Plot_27.tif

description: :unav
DOI: 10.25625/h02co2/oynwkm
title: Plot_18.tif

description: :unav
DOI: 10.25625/h02co2/b4fi36
title: Plot_45.tif

description: :unav
DOI: 10.25625/h02co2/vi5h1z
title: Plot_48.tif

description: :unav
DOI: 10.25625/h02co2/m4fkwu
title: Plot_07.tif.aux.xml

description: :unav
DOI: 10.25625/h02co2/v72pfg
title: Plot_38.tif

description: :unav
DOI: 10.25625/h02co2/5xb7nc
title: Plot_38.tif.aux.xml

description: :unav
DOI: 10.25625/h02co2/bh2dfm
title: Plot_36.tif

description: :unav
DOI: 10.25625/h02co2/j59hhi
title: Plot_22.tif

description: :unav
DOI: 10.25625/h02co2/q4o9vk
title: Plot_47.tif

description: :unav
DOI: 10.25625/h02co2/vhlaed
title: Plot_52.tif.aux.xml

description: :unav
DOI: 10.25625/h02co2/pkaqap
title: Plot_01.tif.aux.xml

description: :unav
DOI: 10.25625/h02co2/blklfi
title: Plot_50.tif

description: :unav
DOI: 10.25625/h02co2/tyxjmp
title: Plot_06.tif

description: :unav
DOI: 10.25625/h02co2/s9gxmf
title: Plot_41.tif

description: :unav
DOI: 10.25625/h02co2/6oybex
title: Plot_42.tif.aux.xml

description: :unav
DOI: 10.25625/h02co2/v7aach
title: Plot_55.tif

description: :unav
DOI: 10.25625/h02co2/b2awjo
title: Plot_43.tif.aux.xml

description: :unav
DOI: 10.25625/h02co2/f4huyg
title: Plot_23.tif

description: :unav
DOI: 10.25625/h02co2/evujyj
title: Plot_52.tif

description: :unav
DOI: 10.25625/h02co2/osl3tg
title: Plot_41.tif.aux.xml

description: :unav
DOI: 10.25625/h02co2/bkvpd3
title: Plot_40.tif.aux.xml

description: :unav
DOI: 10.25625/h02co2/oysqfx
title: Plot_14.tif

description: :unav
DOI: 10.25625/h02co2/6kkihe
title: Plot_48.tif.aux.xml

description: :unav
DOI: 10.25625/h02co2/tx66pl
title: Plot_34.tif

description: :unav
DOI: 10.25625/h02co2/xuu54w
title: Plot_55.tif.aux.xml

description: :unav
DOI: 10.25625/h02co2/rurnq7
title: Plot_03.tif

description: :unav
DOI: 10.25625/h02co2/bcbouh
title: Plot_54.tif.aux.xml

description: :unav
DOI: 10.25625/h02co2/t2f87g
title: Plot_19.tif.aux.xml

description: :unav
DOI: 10.25625/h02co2/zbrpms
title: Plot_02.tif

description: :unav
DOI: 10.25625/h02co2/ezilsw
title: Plot_32.tif.aux.xml

description: :unav
DOI: 10.25625/h02co2/myj95v
title: Plot_43.tif

description: :unav
DOI: 10.25625/h02co2/c9ho9t
title: Plot_40.tif

description: :unav
DOI: 10.25625/h02co2/rimrqv
title: Plot_10.tif.aux.xml

description: :unav
DOI: 10.25625/h02co2/htr7fw
title: Plot_08.tif.aux.xml

description: :unav
DOI: 10.25625/h02co2/xv6tsd
title: Plot_04.tif.aux.xml

description: :unav
DOI: 10.25625/h02co2/yno1yj
title: Plot_33.tif.aux.xml

description: :unav
DOI: 10.25625/h02co2/dptynw
title: Plot_20.tif.aux.xml

description: :unav
DOI: 10.25625/h02co2/3c1n6m
title: Plot_19.tif

description: :unav
DOI: 10.25625/h02co2/ffbwpf
title: Plot_54.tif

description: :unav
DOI: 10.25625/h02co2/ds7hn4
title: Plot_53.tif

description: :unav
DOI: 10.25625/h02co2/yz7i7i
title: Plot_29.tif.aux.xml

description: :unav
DOI: 10.25625/h02co2/caobfw
title: Plot_21.tif.aux.xml

description: :unav
DOI: 10.25625/h02co2/ot7dt6
title: Plot_24.tif.aux.xml

description: :unav
DOI: 10.25625/h02co2/coslin
title: Plot_06.tif.aux.xml

description: :unav
DOI: 10.25625/h02co2/gbb5a7
title: Plot_15.tif

description: :unav
DOI: 10.25625/h02co2/j12a1k
title: Plot_29.tif

description: :unav
DOI: 10.25625/h02co2/m6nt7j
title: Plot_28.tif.aux.xml

description: :unav
DOI: 10.25625/h02co2/1tgwdg
title: Plot_26.tif

description: :unav
DOI: 10.25625/h02co2/i9rkgz
title: Plot_49.tif

description: :unav
DOI: 10.25625/h02co2/r78805
title: Plot_34.tif.aux.xml

description: :unav
DOI: 10.25625/h02co2/3exmfn
title: Plot_22.tif.aux.xml

description: :unav
DOI: 10.25625/h02co2/qzeqi1
title: Plot_32.tif

description: :unav
DOI: 10.25625/h02co2/9ny5c3
title: Plot_16.tif.aux.xml

description: :unav
DOI: 10.25625/h02co2/8me7kz
title: Plot_28.tif

description: :unav
DOI: 10.25625/h02co2/ajw9rs
title: Plot_12.tif

description: :unav
DOI: 10.25625/h02co2/0mszkl
title: Plot_25.tif.aux.xml

description: :unav
DOI: 10.25625/h02co2/xycvnv
title: Plot_47.tif.aux.xml

description: :unav
DOI: 10.25625/h02co2/mp310i
title: Plot_31.tif.aux.xml

description: :unav
DOI: 10.25625/h02co2/6w4wsx
title: Plot_56.tif.aux.xml

description: :unav
DOI: 10.25625/h02co2/duayqf
title: Plot_37.tif

description: :unav
DOI: 10.25625/h02co2/dfxzws
title: Plot_31.tif

description: :unav
DOI: 10.25625/h02co2/s1b2zp
title: Plot_36.tif.aux.xml

description: :unav
DOI: 10.25625/h02co2/zsxwzj
title: Plot_09.tif.aux.xml

description: :unav
DOI: 10.25625/h02co2/by6rbs
title: Plot_03.tif.aux.xml

description: :unav
DOI: 10.25625/h02co2/aeobtr
title: Plot_53.tif.aux.xml

description: :unav
DOI: 10.25625/h02co2/ajahif
title: Plot_46.tif

description: :unav
DOI: 10.25625/h02co2/ke1wwv
title: Plot_05.tif.aux.xml

description: :unav
DOI: 10.25625/h02co2/8xiscv
title: Plot_02.tif.aux.xml

description: :unav
DOI: 10.25625/h02co2/mhmtvt
title: Plot_25.tif

description: :unav
DOI: 10.25625/h02co2/7pj4xi
title: Plot_09.tif

description: :unav
DOI: 10.25625/h02co2/cghsin
title: Plot_23.tif.aux.xml

description: :unav
DOI: 10.25625/h02co2/nn9ctj
title: Plot_08_DATTUTDUT.aux.xml

description: :unav
DOI: 10.25625/h02co2/jw17nj
title: Plot_36_DATTUTDUT

description: :unav
DOI: 10.25625/h02co2/vceou7
title: Plot_46_DATTUTDUT.aux.xml

description: :unav
DOI: 10.25625/h02co2/8opjcu
title: Plot_35_DATTUTDUT

description: :unav
DOI: 10.25625/h02co2/vajake
title: Plot_31_DATTUTDUT

description: :unav
DOI: 10.25625/h02co2/llh1da
title: Plot_30_DATTUTDUT

description: :unav
DOI: 10.25625/h02co2/6y8g1n
title: Plot_02_DATTUTDUT

description: :unav
DOI: 10.25625/h02co2/bwdq1e
title: Plot_05_DATTUTDUT.aux.xml

description: :unav
DOI: 10.25625/h02co2/jqpp6c
title: Plot_21_DATTUTDUT

description: :unav
DOI: 10.25625/h02co2/bziczn
title: Plot_23_DATTUTDUT.aux.xml

description: :unav
DOI: 10.25625/h02co2/kbubwf
title: Plot_25_DATTUTDUT.aux.xml

description: :unav
DOI: 10.25625/h02co2/livhql
title: Plot_36_DATTUTDUT.aux.xml

description: :unav
DOI: 10.25625/h02co2/zjn2tw
title: Plot_03_DATTUTDUT.aux.xml

description: :unav
DOI: 10.25625/h02co2/7rk3dn
title: Plot_41_DATTUTDUT

description: :unav
DOI: 10.25625/h02co2/xvlgm5
title: Plot_33_DATTUTDUT

description: :unav
DOI: 10.25625/h02co2/niisfc
title: Plot_09_DATTUTDUT.aux.xml

description: :unav
DOI: 10.25625/h02co2/oc5wpm
title: Plot_01_DATTUTDUT

description: :unav
DOI: 10.25625/h02co2/i5eqhl
title: Plot_53_DATTUTDUT

description: :unav
DOI: 10.25625/h02co2/nkodm4
title: Plot_50_DATTUTDUT

description: :unav
DOI: 10.25625/h02co2/pusbjm
title: Plot_52_DATTUTDUT

description: :unav
DOI: 10.25625/h02co2/bzkt8x
title: Plot_34_DATTUTDUT

description: :unav
DOI: 10.25625/h02co2/f9lmgl
title: Plot_13_DATTUTDUT

description: :unav
DOI: 10.25625/h02co2/2981m5
title: Plot_46_DATTUTDUT

description: :unav
DOI: 10.25625/h02co2/wa5twf
title: Plot_08_DATTUTDUT

description: :unav
DOI: 10.25625/h02co2/krjo6q
title: Plot_42_DATTUTDUT.aux.xml

description: :unav
DOI: 10.25625/h02co2/tahybn
title: Plot_35_DATTUTDUT.aux.xml

description: :unav
DOI: 10.25625/h02co2/qxkvft
title: Plot_19_DATTUTDUT.aux.xml

description: :unav
DOI: 10.25625/h02co2/4kb9xn
title: Plot_06_DATTUTDUT

description: :unav
DOI: 10.25625/h02co2/tkap6t
title: Plot_49_DATTUTDUT

description: :unav
DOI: 10.25625/h02co2/tsdzsy
title: Plot_39_DATTUTDUT.aux.xml

description: :unav
DOI: 10.25625/h02co2/kvdbs2
title: Plot_51_DATTUTDUT

description: :unav
DOI: 10.25625/h02co2/4k1sfn
title: Plot_40_DATTUTDUT

description: :unav
DOI: 10.25625/h02co2/etvm6x
title: Plot_42_DATTUTDUT

description: :unav
DOI: 10.25625/h02co2/mbo0eg
title: Plot_49_DATTUTDUT.aux.xml

description: :unav
DOI: 10.25625/h02co2/anmmc4
title: Plot_18_DATTUTDUT

description: :unav
DOI: 10.25625/h02co2/2aq1mg
title: Plot_09_DATTUTDUT

description: :unav
DOI: 10.25625/h02co2/3gpjvy
title: Plot_14_DATTUTDUT

description: :unav
DOI: 10.25625/h02co2/zo40gp
title: Plot_25_DATTUTDUT

description: :unav
DOI: 10.25625/h02co2/l8e355
title: Plot_28_DATTUTDUT.aux.xml

description: :unav