cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4320695
title: Cardiac output changes during exercise in heart failure patients: focus on mid-exercise.

description: This dataset contains the raw data of the paper "Cardiac output changes during exercise in heart failure patients: focus on mid-exercise." <strong>Aims: </strong>Peak exercise oxygen uptake (VO<sub>2</sub> ) and cardiac output (CO) are strong prognostic indexes in heart failure (HF) but unrelated to real-life physical activity, which is associated to submaximal effort. <strong>Methods and results: </strong>We analysed maximal cardiopulmonary exercise test with rest, mid-exercise, and peak exercise non-invasive CO measurements (inert gas rebreathing) of 231 HF patients and 265 healthy volunteers. HF patients were grouped according to exercise capacity (peak VO<sub>2</sub> &lt; 50% and ≥50% pred, Groups 1 and 2). To account for observed differences, data regarding VO<sub>2</sub> , CO, stroke volume (SV), and artero-venous O<sub>2</sub> content difference [ΔC(a-v)O<sub>2</sub> ] were adjusted by age, gender, and body mass index. A multiple regression analysis was performed to predict peak VO<sub>2</sub> from mid-exercise cardiopulmonary exercise test and CO parameters among HF patients. Rest VO<sub>2</sub> was lower in HF compared with healthy subjects; meanwhile, Group 1 patients had the lowest CO and highest ΔC(a-v)O<sub>2</sub> . At mid-exercise, Group 1 patients achieved a lower VO<sub>2</sub> , CO, and SV [0.69 (interquartile range 0.57-0.80) L/min; 5.59 (4.83-6.67) L/min; 62 (51-73) mL] than Group 2 [0.94 (0.83-1.1) L/min; 7.6 (6.56-9.01) L/min; 77 (66-92) mL] and healthy subjects [1.15 (0.93-1.30) L/min; 9.33 (8.07-10.81) L/min; 87 (77-102) mL]. Rest to mid-exercise SV increase was lower in Group 1 than Group 2 (P = 0.001) and healthy subjects (P &lt; 0.001). At mid-exercise, ΔC(a-v)O<sub>2</sub> was higher in Group 2 [13.6 (11.8-15.4) mL/100 mL] vs. healthy patients [11.6 (10.4-13.2) mL/100 mL] (P = 0.002) but not different from Group 1 [13.6 (12.0-14.9) mL/100 mL]. At peak exercise, Group 1 patients achieved a lower VO<sub>2</sub> , CO, and SV than Group 2 and healthy subjects. ΔC(a-v)O<sub>2</sub> was the highest in Group 2. At multivariate analysis, a model comprising mid-exercise VO<sub>2</sub> , carbon dioxide production (VCO<sub>2</sub> ), CO, haemoglobin, and weight predicted peak VO<sub>2</sub> , P &lt; 0.001. Mid-exercise VO<sub>2</sub> and CO, haemoglobin, and weight added statistically significantly to the prediction, P &lt; 0.050. <strong>Conclusions: </strong>Mid-exercise VO<sub>2</sub> and CO portend peak exercise values and identify severe HF patients. Their evaluation could be clinically useful.
DOI: 10.5281/zenodo.4320694
title: Cardiac output changes during exercise in heart failure patients: focus on mid-exercise.

description: This dataset contains the raw data of the paper "Cardiac output changes during exercise in heart failure patients: focus on mid-exercise." <strong>Aims: </strong>Peak exercise oxygen uptake (VO<sub>2</sub> ) and cardiac output (CO) are strong prognostic indexes in heart failure (HF) but unrelated to real-life physical activity, which is associated to submaximal effort. <strong>Methods and results: </strong>We analysed maximal cardiopulmonary exercise test with rest, mid-exercise, and peak exercise non-invasive CO measurements (inert gas rebreathing) of 231 HF patients and 265 healthy volunteers. HF patients were grouped according to exercise capacity (peak VO<sub>2</sub> &lt; 50% and ≥50% pred, Groups 1 and 2). To account for observed differences, data regarding VO<sub>2</sub> , CO, stroke volume (SV), and artero-venous O<sub>2</sub> content difference [ΔC(a-v)O<sub>2</sub> ] were adjusted by age, gender, and body mass index. A multiple regression analysis was performed to predict peak VO<sub>2</sub> from mid-exercise cardiopulmonary exercise test and CO parameters among HF patients. Rest VO<sub>2</sub> was lower in HF compared with healthy subjects; meanwhile, Group 1 patients had the lowest CO and highest ΔC(a-v)O<sub>2</sub> . At mid-exercise, Group 1 patients achieved a lower VO<sub>2</sub> , CO, and SV [0.69 (interquartile range 0.57-0.80) L/min; 5.59 (4.83-6.67) L/min; 62 (51-73) mL] than Group 2 [0.94 (0.83-1.1) L/min; 7.6 (6.56-9.01) L/min; 77 (66-92) mL] and healthy subjects [1.15 (0.93-1.30) L/min; 9.33 (8.07-10.81) L/min; 87 (77-102) mL]. Rest to mid-exercise SV increase was lower in Group 1 than Group 2 (P = 0.001) and healthy subjects (P &lt; 0.001). At mid-exercise, ΔC(a-v)O<sub>2</sub> was higher in Group 2 [13.6 (11.8-15.4) mL/100 mL] vs. healthy patients [11.6 (10.4-13.2) mL/100 mL] (P = 0.002) but not different from Group 1 [13.6 (12.0-14.9) mL/100 mL]. At peak exercise, Group 1 patients achieved a lower VO<sub>2</sub> , CO, and SV than Group 2 and healthy subjects. ΔC(a-v)O<sub>2</sub> was the highest in Group 2. At multivariate analysis, a model comprising mid-exercise VO<sub>2</sub> , carbon dioxide production (VCO<sub>2</sub> ), CO, haemoglobin, and weight predicted peak VO<sub>2</sub> , P &lt; 0.001. Mid-exercise VO<sub>2</sub> and CO, haemoglobin, and weight added statistically significantly to the prediction, P &lt; 0.050. <strong>Conclusions: </strong>Mid-exercise VO<sub>2</sub> and CO portend peak exercise values and identify severe HF patients. Their evaluation could be clinically useful.
DOI: 10.21258/1587786
title: Inventario forestale nazionale svizzero - Tabella n. 898200
DOI: 10.21258/1552507
title: Inventaire forestier national suisse - Tableau no 902258
DOI: 10.21258/1589939
title: Inventario forestale nazionale svizzero - Tabella n. 898748
DOI: 10.21258/1531234
title: Inventaire forestier national suisse - Tableau no 898261
DOI: 10.21258/1617979
title: Inventario forestale nazionale svizzero - Tabella n. 891844
DOI: 10.5281/zenodo.3685562
title: Dataset related to the article: Heart Failure Prognosis Over Time: How the Prognostic Role of Oxygen Consumption and Ventilatory Efficiency During Exercise Has Changed in the Last 20 Years

description: This record contains raw data related to the article: Heart Failure Prognosis Over Time: How the Prognostic Role of Oxygen Consumption and Ventilatory Efficiency During Exercise Has Changed in the Last 20 Years, Eur J Heart Fail, 21 (2), 208-217 Feb 2019
DOI: 10.5281/zenodo.3685561
title: Dataset related to the article: Heart Failure Prognosis Over Time: How the Prognostic Role of Oxygen Consumption and Ventilatory Efficiency During Exercise Has Changed in the Last 20 Years

description: This record contains raw data related to the article: Heart Failure Prognosis Over Time: How the Prognostic Role of Oxygen Consumption and Ventilatory Efficiency During Exercise Has Changed in the Last 20 Years, Eur J Heart Fail, 21 (2), 208-217 Feb 2019
DOI: 10.21258/1545412
title: Inventaire forestier national suisse - Tableau no 897620
DOI: 10.21258/1566271
title: Inventaire forestier national suisse - Tableau no 898339
DOI: 10.5281/zenodo.4278891
title: Novel Coronavirus (COVID-19) Cases in The Netherlands

description: On 27 February 2020, the first case of COVID-19 disease was confirmed in The Netherlands by RIVM (National Institute for Public Health and the Environment). In the weeks after, thousands of people were diagnosed with the infectious disease. Data on COVID-19 case counts are important for research and applications on various topics like epidemiology and statistics. This dataset contains reported case counts derived from official sources like RIVM (National Institute for Public Health and the Environment), LCPS (National Coordination Center for Patient Distribution), and NICE (National Intensive Care Evaluation). Data from these sources are collected, standardized, and published in various formats on a daily basis. The README document in this repository provides an overview of the available datasets, their file location(s), and codebooks. Copies of the original data are stored in the folder named 'raw_data'. Scripts to process the raw data into standardized files can be found in the folder workflows.
DOI: 10.5281/zenodo.3711574
title: Novel Coronavirus (COVID-19) Cases in The Netherlands

description: On 27 February 2020, the first case of COVID-19 disease was confirmed in The Netherlands by RIVM (National Institute for Public Health and the Environment). In the weeks after, thousands of people were diagnosed with the infectious disease. Data on COVID-19 case counts are important for research and applications on various topics like epidemiology and statistics. This dataset contains reported case counts derived from official sources like RIVM (National Institute for Public Health and the Environment), LCPS (National Coordination Center for Patient Distribution), and NICE (National Intensive Care Evaluation). Data from these sources are collected, standardized, and published in various formats on a daily basis. The README document in this repository provides an overview of the available datasets, their file location(s), and codebooks. Copies of the original data are stored in the folder named 'raw_data'. Scripts to process the raw data into standardized files can be found in the folder workflows.
DOI: 10.21258/1537861
title: Inventaire forestier national suisse - Tableau no 897859
DOI: 10.21258/1604364
title: Inventario forestale nazionale svizzero - Tabella n. 898942
DOI: 10.21258/1625075
title: Inventario forestale nazionale svizzero - Tabella n. 893021
DOI: 10.21258/1564348
title: Inventaire forestier national suisse - Tableau no 897356
DOI: 10.21258/1561276
title: Inventaire forestier national suisse - Tableau no 892950
DOI: 10.21258/1610114
title: Inventario forestale nazionale svizzero - Tabella n. 897350
DOI: 10.5281/zenodo.4320745
title: Wind farm power short-term prediction using WRF model and Kalman filtering

description: This repository contains the data used and generated in the paper: Mamani, R., & Hendrick, P. (2019). Wind farm power short-term prediction using WRF model and Kalman filtering. ECOS 2019
DOI: 10.5281/zenodo.4320744
title: Wind farm power short-term prediction using WRF model and Kalman filtering

description: This repository contains the data used and generated in the paper: Mamani, R., & Hendrick, P. (2019). Wind farm power short-term prediction using WRF model and Kalman filtering. ECOS 2019
DOI: 10.21258/1578680
title: Inventario forestale nazionale svizzero - Tabella n. 899591
DOI: 10.21258/1623097
title: Inventario forestale nazionale svizzero - Tabella n. 897623
DOI: 10.21258/1610329
title: Inventario forestale nazionale svizzero - Tabella n. 897704
DOI: 10.21258/1578013
title: Inventario forestale nazionale svizzero - Tabella n. 897119
DOI: 10.21227/s7ay-ma60
title: Indoor Measurements, DMB and ICT cubes 2.4 and 5 GHz

description: This dataset includes measurement camapaigns in two indoor environments, a museum, the Deutsches Museum Bonn (DMB) and an office space, the ICT cubes at RWTH Aachen University at 2.4 and 5 GHz. The museum measurements include three routes over two floors and with two antenna positions. The measurements at the office space include two antenna parameters, each with one extensive measurement route. The data is also published on GitHub for other researchers to access in order to test their propagation models (https://github.com/kiraseya/Measurements).
DOI: 10.21227/mtwb-3841
title: Indoor Measurements, DMB and ICT cubes 2.4 and 5 GHz

description: This dataset includes measurement camapaigns in two indoor environments, a museum, the Deutsches Museum Bonn (DMB) and an office space, the ICT cubes at RWTH Aachen University at 2.4 and 5 GHz. The museum measurements include three routes over two floors and with two antenna positions. The measurements at the office space include two antenna parameters, each with one extensive measurement route. The data is also published on GitHub for other researchers to access in order to test their propagation models (https://github.com/kiraseya/Measurements).
DOI: 10.21258/1580724
title: Inventario forestale nazionale svizzero - Tabella n. 898501
DOI: 10.25646/7745
title: Tagesdaten-CSV aus dem DIVI-Intensivregister

description: Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq
DOI: 10.21258/1533026
title: Inventaire forestier national suisse - Tableau no 892891
DOI: 10.21258/1534419
title: Inventaire forestier national suisse - Tableau no 898988
DOI: 10.5285/fc9569e1-3102-46d8-9489-30c61d0cd367
title: Annual visitor counts from Port Lockroy, Goudier Island, 1996 - 2020

description: The total number of all visitors landing at Goudier Island are recorded by UKAHT staff. The annual season total is provided.
description: The total number of all visitors landing at Goudier Island are recorded by UKAHT staff resident on Goudier Island. An annual season total is provided.
description: All raw data appear as collected and have not been cleaned via post-processing analyses.
DOI: 10.21258/1603564
title: Inventario forestale nazionale svizzero - Tabella n. 898882
DOI: 10.21258/1541697
title: Inventaire forestier national suisse - Tableau no 896928
DOI: 10.6084/m9.figshare.13370042
title: test3.zip

description: Fold 3 test set
DOI: 10.6084/m9.figshare.13370042.v1
title: test3.zip

description: Fold 3 test set
DOI: 10.21258/1569752
title: Inventaire forestier national suisse - Tableau no 897565
DOI: 10.6084/m9.figshare.13369856
title: test2.zip

description: Fold 2 test set
DOI: 10.6084/m9.figshare.13369856.v1
title: test2.zip

description: Fold 2 test set
DOI: 10.6084/m9.figshare.13366298
title: test1.zip

description: Fold 1 test set
DOI: 10.6084/m9.figshare.13366298.v1
title: test1.zip

description: Fold 1 test set
DOI: 10.21258/1570089
title: Inventaire forestier national suisse - Tableau no 893054
DOI: 10.21258/1589529
title: Inventario forestale nazionale svizzero - Tabella n. 899664
DOI: 10.6084/m9.figshare.13302686
title: Data and code for POI type embedding model

description: Data and code for POI type embedding model in paper "A GloVe-based POI type embedding model for extracting and identifying urban functional regions"
DOI: 10.6084/m9.figshare.13302686.v4
title: Data and code for POI type embedding model

description: Data and code for POI type embedding model in paper "A GloVe-based POI type embedding model for extracting and identifying urban functional regions"
DOI: 10.21258/1547513
title: Inventaire forestier national suisse - Tableau no 897050
DOI: 10.34740/kaggle/dsv/1743086
title: US counties COVID 19 dataset
DOI: 10.21258/1599578
title: Inventario forestale nazionale svizzero - Tabella n. 897719
DOI: 10.5517/cctxdnr
title: CCDC 772075: Experimental Crystal Structure Determination

description: Related Article: Xiao-He Miao, Long-Guan Zhu|2010|Wuji Huaxue Xuebao|26|1863|
DOI: 10.5517/ccdc.csd.cc21m2d5
title: CCDC 1895166: Experimental Crystal Structure Determination

description: Related Article: Georg Albrecht, Carina Rössiger, Jasmin Martha Herr, Harald Locke, Hisao Yanagi, Richard Göttlich, Derck Schlettwein|2020|Phys.Status Solidi B|257|1900677|doi:10.1002/pssb.201900677
DOI: 10.5517/ccdc.csd.cc21m2j9
title: CCDC 1895170: Experimental Crystal Structure Determination

description: Related Article: Georg Albrecht, Carina Rössiger, Jasmin Martha Herr, Harald Locke, Hisao Yanagi, Richard Göttlich, Derck Schlettwein|2020|Phys.Status Solidi B|257|1900677|doi:10.1002/pssb.201900677
DOI: 10.5517/ccdc.csd.cc228b3t
title: CCDC 1914625: Experimental Crystal Structure Determination

description: Related Article: Mikhail A. Nazarov, Irina A. Tolmacheva, Victoria V. Grishko|2019|ARKIVOC|2019|267-6|doi:10.24820/ark.5550190.p011.035
DOI: 10.5285/b62f2d5d-1f40-0c2c-e053-6c86abc0265d
title: Dissolved nutrient samples collected in the Barents Sea as part of the Changing Arctic Ocean programme during cruise JR17007, July-August 2018.

description: Samples for dissolved nutrients were collected from CTD niskin bottles during cruise JR17007 in the Barents Sea (July-August 2018) as part of the Changing Arctic Ocean programme. Dataset consists of ammonia/ium, silicate, phosphate, nitrate and nitrite measurements in μM L<sup>-1</sup> and μM kg<sup>-1</sup> units. Samples were collected in acid cleaned PE 50 mL polythene vials and measured shortly after collection (within 12 hours) on the vessel by the Scottish Association for Marine Science (SAMS) using a Lachat Quik Chem 8500 Flow injection analyser.
DOI: 10.21258/1547029
title: Inventaire forestier national suisse - Tableau no 899647
DOI: 10.5517/ccdc.csd.cc246btj
title: CCDC 1972307: Experimental Crystal Structure Determination

description: Related Article: Volodymyr A. Levchenko, Huey-San Melanie Siah, Sigurd Øien-Ødegaard, Gurpreet Kaur, Anne Fiksdahl, Mats Tilset|2020|Mol.Catal.|492|111009|doi:10.1016/j.mcat.2020.111009
DOI: 10.5445/ir/1000122689
title: Time series of the Seasonal Location Index (SLI) and Rainfall Cluster Index (RCI) for the time period 1981–2018
DOI: 10.21258/1603138
title: Inventario forestale nazionale svizzero - Tabella n. 902071
DOI: 10.21258/1568228
title: Inventaire forestier national suisse - Tableau no 902176
DOI: 10.21258/1553881
title: Inventaire forestier national suisse - Tableau no 891739
DOI: 10.5286/isis.e.rb1920311-3
title: Inelastic neutron scattering study of phonons in LiCoO2

description: The compound LixCoO2 has attracted lots of attention in the recent years because of its application as cathodes in Li-ion batteries. Despite being subject of intense research, role of phonon in Lithium diffusion has remained unexplored. Previous Raman scattering work, investigating the zone center phonons, was limited to powder samples. In the present proposal, we aim to investigate plausible role of phonons in triggering the lithium ion movement. We plan to investigate the phonon in the entire Brilloiin zone. To complete the proposed inelastic neutron scattering measurements of phonons (at 30 and 300 K), we need 6 days of beam time on MERLIN (to measure the phonon up to energy transfer of 140 meV).
DOI: 10.21258/1547474
title: Inventaire forestier national suisse - Tableau no 899068
DOI: 10.21258/1573213
title: Inventaire forestier national suisse - Tableau no 902151
DOI: 10.21258/1552358
title: Inventaire forestier national suisse - Tableau no 892008
DOI: 10.21258/1530238
title: Inventaire forestier national suisse - Tableau no 898917
DOI: 10.26302/sshade/experiment_soc_20201214_001
title: Pd K edge XAS transmission of Pd metallic foil at 300K
DOI: 10.5285/b62f2d5d-1f41-0c2c-e053-6c86abc0265d
title: Dissolved nutrient samples collected in the Barents Sea as part of the Changing Arctic Ocean programme during cruise JR18006, July-August 2019.

description: Samples for dissolved nutrients were collected from CTD niskin bottles during cruise JR18006 in the Barents Sea (July-August 2019) as part of the Changing Arctic Ocean programme. Dataset consists of ammonia/ium, silicate, phosphate, nitrate and nitrite measurements in μM L<sup>-1</sup> and μM kg<sup>-1</sup> units. Ammonia/ium samples were collected in acid cleaned PE 50 mL polythene vials and measured shortly after collection (within 24 hours) on the vessel by the Scottish Association for Marine Science (SAMS) using a Lachat Quik Chem 8500 Flow injection analyser. Phosphate, silicate, nitrate and nitrite samples were collected in 125 mL acid cleaned bottles and immediately frozen. These samples were measured using a Bran and Luebbe, QuAAtro 5-channel continuous flow analyser from filtered frozen samples 12 months after collection by the University of Liverpool.
DOI: 10.21258/1542680
title: Inventaire forestier national suisse - Tableau no 891752
DOI: 10.6084/m9.figshare.13373015
title: Supplementary Material for: Partial 5p Gain and 15q Loss in Three Patients from a Family with a t(5;15)(p13.3;q26.3) Translocation

description: Several patients with 5p duplication or 15q deletion have been reported in the literature, involving different chromosome regions and clinical features. Here, we describe a family in which we identified a 30-Mb 5p15.33p13.3 gain and a 2.5-Mb 15q26.3 loss in 3 individuals, due to a balanced familial translocation between chromosomes 5p and 15q. They presented a similar combination of clinical findings related to their genetic imbalances, but there were also phenotypic differences between them. Our analyses show that their clinical picture is mostly caused by the loss in 15q and not the gain in 5p, despite its much larger size. Our findings suggest that other genes, besides the <i>IGF1R</i> gene, in the 15q26.3 region, such as the <i>CHSY1</i> gene, may have a great impact on the clinical picture of the syndrome. Our data emphasize the importance of detailed cytogenomic and clinical analyses for an accurate diagnosis, prognosis, and genetic counseling, providing an opportunity to improve genotype-phenotype correlations of patients with partial 5p duplication and 15q deletion syndromes.
DOI: 10.6084/m9.figshare.13373015.v1
title: Supplementary Material for: Partial 5p Gain and 15q Loss in Three Patients from a Family with a t(5;15)(p13.3;q26.3) Translocation

description: Several patients with 5p duplication or 15q deletion have been reported in the literature, involving different chromosome regions and clinical features. Here, we describe a family in which we identified a 30-Mb 5p15.33p13.3 gain and a 2.5-Mb 15q26.3 loss in 3 individuals, due to a balanced familial translocation between chromosomes 5p and 15q. They presented a similar combination of clinical findings related to their genetic imbalances, but there were also phenotypic differences between them. Our analyses show that their clinical picture is mostly caused by the loss in 15q and not the gain in 5p, despite its much larger size. Our findings suggest that other genes, besides the <i>IGF1R</i> gene, in the 15q26.3 region, such as the <i>CHSY1</i> gene, may have a great impact on the clinical picture of the syndrome. Our data emphasize the importance of detailed cytogenomic and clinical analyses for an accurate diagnosis, prognosis, and genetic counseling, providing an opportunity to improve genotype-phenotype correlations of patients with partial 5p duplication and 15q deletion syndromes.
DOI: 10.21258/1540190
title: Inventaire forestier national suisse - Tableau no 899075
DOI: 10.21258/1550005
title: Inventaire forestier national suisse - Tableau no 897027
DOI: 10.21258/1572759
title: Inventaire forestier national suisse - Tableau no 899264
DOI: 10.21258/1608588
title: Inventario forestale nazionale svizzero - Tabella n. 897436
DOI: 10.21258/1578203
title: Inventario forestale nazionale svizzero - Tabella n. 898871
DOI: 10.21258/1535805
title: Inventaire forestier national suisse - Tableau no 899273
DOI: 10.21258/1623429
title: Inventario forestale nazionale svizzero - Tabella n. 898355
DOI: 10.15468/f5pt9t
title: Hemipogon trilobatus sp. nov. (Apocynaceae: Asclepiadoideae), a new microendemic from Chapada dos Veadeiros, Central Brazil

description: This dataset contains the digitized treatments in Plazi based on the original journal article Bitencourt, Cássia, Santos, Amanda P. B., Snak, Cristiane, Rapini, Alessandro (2020): Hemipogon trilobatus sp. nov. (Apocynaceae: Asclepiadoideae), a new microendemic from Chapada dos Veadeiros, Central Brazil. European Journal of Taxonomy 729: 1-10, DOI: https://doi.org/10.5852/ejt.2020.729.1185
DOI: 10.6084/m9.figshare.13266314.v1
title: Multivariate egg 2019

description: Multivariate maternal effect on offspring telomere erosion during growth<br>